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Author SHA1 Message Date
goodboy 5e371f1d73 Merge pull request 'jsonrpc_err_in_rent' (#41) from jsonrpc_err_in_rent into gitea_feats
Reviewed-on: #41
2025-02-21 21:21:02 +00:00
goodboy 6c221bb348 Merge pull request 'tsp_gaps: fixes for fault-less OHLCV time-series loads' (#35) from tsp_gaps into gitea_feats
Reviewed-on: #35
2025-02-21 20:46:37 +00:00
Tyler Goodlet e391c896f8 Mk jsronrpc's underlying ws timeout `float('inf')`
Since currently we're only using this IPC subsys for `deribit`, and
generally speaking we're primarly supporting options markets (which are
fairly "slow moving"), flip to a default of NOT resetting the `NoBsWs`
on timeout since doing so normally breaks the jsron-rpc IPC session.
Without a proper `fixture` passed to `open_autorecon_ws()` (which we
should eventually implement!!) relying on a timeout-to-reset more or
less will just cause breakage issues - a proper reconnect sequence must
be implemented before using that feature.

Deats,
- expose and proxy through the `msg_recv_timeout` from
  `open_jsonrpc_session()` into the underlying `open_autorecon_ws()`
  call.
2025-02-19 17:05:13 -05:00
Tyler Goodlet 5633f5614d Doc-n-clean `.data._web_bs.open_jsonrpc_session()`
Add a doc-string reflecting recent refinements, drop all the old hook
params, rename `n: trio.Nursery` -> `tn` for "task nursery" fitting with
code base's naming style.
2025-02-19 17:05:13 -05:00
Tyler Goodlet 76735189de data._web_bs: try to raise jsonrpc errors in parent task 2025-02-19 17:05:13 -05:00
Tyler Goodlet d49608f74e Refine history gap/termination signalling
Namely handling backends which do not provide a default "frame
size-duration" in their init-config by making the backfiller guess the
value based on the first frame received.

Deats,
- adjust `start_backfill()` to take a more explicit
  `def_frame_duration: Duration` expected to be unpacked from any
  backend hist init-config by the `tsdb_backfill()` caller which now
  also computes a value from the first received frame when the config
  section isn't provided.
- in `start_backfill()` we now always expect the `def_frame_duration`
  input and always decrement the query range by this value whenever
  a `NoData` is raised by the provider-backend paired with an explicit
  `log.warning()` about the handling.
- also relay any `DataUnavailable.args[0]` message from the provider
  in the handler.
- repair "gap reporting" which checks for expected frame duration vs.
  that received with much better humanized logging on the missing
  segment using `pendulum.Interval/Duration.in_words()` output.
2025-02-19 17:01:24 -05:00
Tyler Goodlet bf0ac93aa3 Only use `frame_types` if delivered during enter
The `open_history_client()` provider endpoint can *optionally*
deliver a `frame_types: dict[int, pendulum.Duration]` subsection in its
`config: dict[str, dict]` (as was implemented with the `ib` backend).
This allows the `tsp` backfilling machinery to use this "recommended
frame duration" to subtract from the `last_start_dt` any time a `NoData`
gap is signalled by the `get_hist()` call allowing gaps to be ignored
safely without missing history by knowing the next earliest dt we can
query from using the `end_dt`. However, currently all crypto$ providers
haven't implemented this feat yet..

As such only try to use the `frame_types` feature if provided when
handling `NoData` conditions inside `tsp.start_backfill()` and otherwise
raise as normal.
2025-02-19 17:01:24 -05:00
Tyler Goodlet d7179d47b0 `.tsp._anal`: add (unused) `detect_vlm_gaps()` 2025-02-19 17:01:24 -05:00
Tyler Goodlet c390e87536 `.storage.cli`: collect gap-markup-aids into `tf2aids: dict` prior to pause for introspection 2025-02-19 17:01:24 -05:00
Tyler Goodlet 5e4a6d61c7 Ignore any non-`.parquet` files under `.config/piker/nativedb/` subdir 2025-02-19 17:01:24 -05:00
Tyler Goodlet 3caaa30b03 Mask no-data pause, add perps to no-`/src`-in-fqme asset set
Was orig for debugging an issue with `kucoin` i think but definitely
shouldn't be left in XD

Also add `'perpetual_future'` to the `.start_backfill()` input literal
set since we don't expect the 'btc/usd.perp.binance' for now.
2025-02-19 17:01:24 -05:00
goodboy 1e3942fdc2 Merge pull request 'Add `ruff` to deps, bump `uv.lock`' (#32) from add_ruff_linter into gitea_feats
Reviewed-on: #32
2025-02-17 19:55:32 +00:00
Nelson Torres 49ea380503 Add new `ruff.toml` config file
Based on the default provided in their
[docs](https://docs.astral.sh/ruff/configuration/) and migrating
previous config from the prior `poetry`-verion of our `pyproject.toml`
2025-02-17 14:48:10 -05:00
Tyler Goodlet 933f169938 Add/reorg back some content from `poetry` old config 2025-02-14 13:47:02 -05:00
Nelson Torres 51337052a4 Remove legacy `poetry` config content from pyproject.toml 2025-02-14 15:01:29 -03:00
Tyler Goodlet 8abe55dcc6 Add `ruff` to deps, bump `uv.lock`
Such that we start encouraging devs to lint code they touch and
hopefully we include a pass as part of our tests/CI eventually B)

Also, mk local `tractor` install `--editable` since without it being
a locally hackable repo it's kinda pointless to install from the local
fs Xp
2025-02-13 21:20:11 -05:00
goodboy c933f2ad56 Merge pull request 'kucoin_and_binance_fix' (#9) from kucoin_and_binance_fix into gitea_feats
Reviewed-on: #9
2025-02-13 19:40:50 +00:00
Tyler Goodlet 00108010c9 Mask `pytest` detection block in `piker.config`
Seems to be some kinda super weird env bug since we moved to using
`uv`? When it triggers it also seems to cause a pretty fundamental crash
that not only breaks `tractor.devx._debug` stuff but also seems to get
us in a perma-hang state where no SIGINT or other sys sig will be able
to kill the root proc!?!?

TODO, a `gitea` issue to track so we can fix the fundamental problem as
well as transitive fault in `tractor`'s core which seems to be due to
the error taking place during a sub-actor's module import phase which
prevents the runtime from booting fully and then the proc getting stuck
in a real gnarly SIG-state..
2025-02-13 13:32:11 -05:00
Tyler Goodlet 8a4901c517 `.binance.feed`: moar type fixes, drop `rapidfuzz` 2025-02-13 12:35:41 -05:00
Tyler Goodlet d7f6a5ab63 Update to latest `KucoinMktPair` spec 2025-02-12 18:08:40 -05:00
Tyler Goodlet e0fdabf651 Use `../tractor` srcs in editable mode? 2025-02-12 15:14:30 -05:00
Tyler Goodlet cb88dfc9da `kucoin`: repair live quotes streaming..
This must have broke at some point during the new `MktPair` and thus
`.fqme: str` updates; mas-o-menos the symbol key in the quote-msg-`dict`
was NOT set to the `MktPair.bs_fqme: str` value and thus wasn't being
processed by the downstream sampling and feed subsys.

So fix that as well as a few other refinements,
- set the `topic: mkt.bs_fqme` in quote msgs obvi.
- drop the "wait for first clearing vlm" quote poll loop; going to fix
  the sampler to handle a `first_quote` without a `'last'` key.
- add some typing around calls to `get_mkt_info()`.
- rename `stream_messages()` -> `iter_normed_quotes()`.
2025-02-12 15:05:22 -05:00
Nelson Torres bb41dd6d18 Deleted settlePlan field from binance FutesPair. 2025-02-12 15:05:22 -05:00
Nelson Torres 99e90129ad Added missing fields for kucoin.
feeCategory, makerFeeCoefficient, takerFeeCoefficient and st.
2025-02-12 15:05:22 -05:00
Tyler Goodlet cceb7a37b9 Lel, forgot to add a `SPOT` venue for `binance`.. 2025-02-12 15:05:22 -05:00
goodboy 5382815b2d Merge pull request 'uv migration and default.nix for qt6' (#17) from uv_migration into gitea_feats
Reviewed-on: #17
2025-02-12 20:04:02 +00:00
Tyler Goodlet cb1ba8a05f Further root readme bump, factor `.clearing` content
In line with our move to `uv` and recent `nix` support update a bunch of
the summary content and factor out the order-control section to a new
`.piker.clearing` readme file with embedded todos therein.
2025-02-12 15:01:51 -05:00
Nelson Torres 6c65ec4d3b Readme update:
- uv replace poetry
- update nix-shell command
2025-02-12 13:05:25 -03:00
Nelson Torres 12e371b027 uv migration 2025-02-12 11:19:34 -03:00
goodboy 014bd58db4 Merge pull request 'go_httpx' (#2) from go_httpx into gitea_feats
Landed-in: #2
2025-02-12 13:01:19 +00:00
Tyler Goodlet 844544ed8e Port binance to `httpx`
Like other backends use the `AsyncClient` for all venue specific
client-sessions but change to allocating them inside `get_client()`
using an `AsyncExitStack` and inserting directly in the
`Client.venue_sesh: dict` table during init.

Supporting impl tweaks:
- remove most of the API client session building logic and instead make
  `Client.__init__()` take in a `venue_sessions: dict` (set it to
  `.venue_sesh`) and `conf: dict`, instead opting to do the http client
  configuration inside `get_client()` since all that code only needs to
  be run once.
 |_load config inside `get_client()` once.
 |_move session token creation into a new util func `init_api_keys()` and
  also call it from `get_client()` factory; toss in an ex. toml section
  config to the doc string.
- define `_venue_urls: dict[str, str]` (content taken from old static
  `.venue_sesh` dict) at module level and feed them as `base_url: str`
  inputs to the client create loop.
- adjust all call sigs in httpx-sesh-using methods, namely just
  `._api()`.
- do a `.exch_info()` call in `get_client()` to cache the symbology
  set.

Unrelated changes for various other outstanding buggers:
- to get futures feeds correctly loading when selected
  from search (like 'XMRUSDT.USDTM.PERP'), expect a `MktPair` input to
  `Client.bars()` such that the exact venue-key can be looked up (via
  a new `.pair2venuekey()` meth) and then passed to `._api()`.
- adjust `.broker.open_trade_dialog()` to failover to paper engine when
  there's no `api_key` key set for the `subconf` venue-key.
2025-02-11 16:27:28 -05:00
Nelson Torres f479252d26 Added note to exception when missing field in SpotPair class 2025-02-11 16:27:28 -05:00
Nelson Torres 033ef2e35e Added new fields to SpotPair class in venues 2025-02-11 16:27:28 -05:00
Tyler Goodlet 2cdece244c binance: raise `NoData` on null hist arrays
Like we do with other history backends to indicate lack of a data set.
This avoids any raise that will will bring down the backloader task with
some downstream error.

Raise a `ValueError` on no time index for now.
2025-02-11 16:27:28 -05:00
Tyler Goodlet 018694bbdb Woops, `data` can be an empty list XD 2025-02-11 16:27:28 -05:00
Tyler Goodlet 128a2d507f Woops, fix missing `api_url` ref in error log 2025-02-11 16:27:28 -05:00
Tyler Goodlet 430650a6a7 Change type-annots to use `httpx.Response` 2025-02-11 16:27:28 -05:00
Tyler Goodlet 1da3cf5698 Port `kucoin` backend to `httpx` 2025-02-11 16:27:28 -05:00
Tyler Goodlet a348603fc4 Port `kraken` backend to `httpx` 2025-02-11 16:27:28 -05:00
goodboy 86047824d8 Merge pull request '`.brokers.ib` random fixes-n-improvements from various other dev branches..' (#27) from ib_refinements into gitea_feats
Merged-in: #27
2025-02-11 21:26:20 +00:00
Tyler Goodlet cb92abbc38 ib: add connect status info emit 2025-02-11 14:56:17 -05:00
Tyler Goodlet 70332e375b ib: `.api` mod and log-fmt cleaning
About time we tidy'd a buncha status logging in this backend..
particularly for boot-up where there's lots of client-try-connect poll
looping with account detection from the user config.

`.api.Client` pprint and logging fmt improvements:
- add `Client.__repr__()` which shows the minimally useful set of info
  from the underlying `.ib: IB` as well as a new `.acnts: list[str]`
  of the account aliases defined in the user's `brokers.toml`.
- mk `.bars()` define a comprehensive `query_info: str` with all the
  request deats but only display if there's a problem with the response
  data.
- mk `.get_config()` report both the config file path and the acnt
  aliases (NOT the actual account #s).
- move all `.load_aio_clients()` client poll loop requests do
  `log.runtime()` statuses, only falling through to a `.warning()` when
  the loop fails to connect the client to the spec-ed API-gw addr, and
 |_ don't allow loading accounts for which the user has not defined an
    alias in `brokers.toml::[ib]`; raise a value-error in such cases
    with a message indicating how to mod the config.
 |_ only `log.info()` about acnts if some were loaded..

Other mod logging de-noising:
- better status fmting in `.symbols.open_symbol_search()` with
  `repr(Client)`.
- for `.feed.stream_quotes()` first quote reporting use `.runtime()`.
2025-02-11 14:56:17 -05:00
Tyler Goodlet 4940aabe05 ib: warn about mkt precision cuckups that `Contract`s clearly deliver wrong.. 2025-02-11 14:56:17 -05:00
Tyler Goodlet 4f9998e9fb ib: mask out trade and vlm rates for now 2025-02-11 14:56:17 -05:00
Tyler Goodlet c92a236196 ib: more trade record edge case handling
- timestamps came as `'date'`-keyed from 2022 and before but now are
  `'datetime'`..
- some symbols seem to have no commission field, so handle that..
- when no `'price'` field found return `None` from `norm_trade()`.
- add a warn log on mid-fill commission updates.
2025-02-11 14:56:17 -05:00
goodboy e4cd1f85f6 Merge pull request 'pyqt6' (#3) from pyqt6 into gitea_feats
Reviewed-on: #3 (well by fomo anyway..)
2025-02-11 17:25:03 +00:00
Tyler Goodlet 129cf58d41 Bump deps for Py3.12, go PyQt6, tweak ruff rules
Code base is already ported for `Qt6` so this removes the pyqt5 dep,
adds latest pyqt6 as well as buncha other updates:

- add `xonsh` and ptk as dev deps for those of us using wacky shells ;P
- bump compiled deps as needed for python 3.12 (`numpy`, `numba`)
- add `httpx` and drop `asks` since the latter is zombied and not compat
  with other libs on 3.12.
- add `ruff` linting ignore rules for the new `.ui.qt` shim mod layer.
- few other deps updates to latest versions.
- add in the `keywords` and `classifiers` sections from the old
  `setup.py`.
2024-05-20 11:07:27 -04:00
Tyler Goodlet 1fd8654ca5 Port all `.ui*` submods to new `.ui.qt` imports
This also officially moves the code base to using `PyQt6` including all
necessary reference changes and enum namespace path moves.

Also includes a small `.ui.order_mode` fix to cancel any
`Order.price <= 0` and a name error fix with logging using `msg`,
which is already used for the input order msg..
2024-05-01 14:33:10 -04:00
Tyler Goodlet d0170982bf Add `piker.ui.qt` as a `PyQt6` shim module
For the future, like if we ever get a `PyQt7` (or wtv else..), add
a module which allows changing Qt binding lib imports from one spot for
all other `.ui` submodules. In some sense this is like a shoddier, less
dynamic version of how `pyqtgraph.Qt.__init__.py` supports multiple
libs; it might actually make sense eventually to instead import from
their shim layer instead?

Included is a draft attempt at exposing a bunch of enums which under
custom names:
- while the specific grouping of values seem to always stay consistent,
  the root enum's seem to almost always get moved around in the `PyQtX`
  module namespace.
- changing groupings and/or each top level enum's ns location can more
  simply be changed/re-orged from one spot.
- allows `.ui` consumer code to use a name more relevant to `piker`'s
  usage of wtv UI component is being configured.
2024-05-01 14:30:18 -04:00
Tyler Goodlet 821e73a409 Use a `unit_prefix: str` (like u or $) on health bar 2024-05-01 14:09:39 -04:00
Tyler Goodlet 3d03781810 Impl a sane (with nesting) `.types.Struct.pformat()`
Such that our internal structs can be pretty printed with indented and
type-hinted fields, AND for nested `Struct`-fields call `.pformat()` but
avoiding any recursion errors using `pprint.saferepr()`. Add
a `._sin_props()` iterator over the non-property fields; use it for
`dict` casting when called with `.to_dict(include_non_members=False)`.

Actually, we should also probably figure out how to only pprint like
when required by the user in a REPL or log msg by context-selectively
`pprint.PrettyPrinter` right? Also, if we can generalize decently enough
it'd be cool to maybe patch this in as a util to upstream `msgspec`?
2024-01-17 15:50:27 -05:00
Tyler Goodlet 83d1f117a8 Always cancel (loaded) zero-priced orders
Ran into this trading a peenee where a dark got (mistakenly) submitted
at a price of 0 and then that consecutively broke upstream allocator/pp
code due to a divide-by-zero.. So instead always check for a zero-price
(since that should never ever be valid in any market) and instead cancel
any such order in the EMS and return `None` so that upstream callers can
ignore it without crash handling.
2024-01-17 10:29:43 -05:00
Tyler Goodlet e4ce79f720 Delegate `.toolz.open_crash_handler()` to `tractor.devx`
Means we can drop `.toolz.debug` module outright.
2024-01-16 10:26:38 -05:00
Tyler Goodlet 264246d89b Fix `brokers.toml` load for `kraken` backend 2024-01-10 17:53:15 -05:00
Tyler Goodlet 7c96c9fafe Just warn log on mismatched `MktPair` in paper eng 2024-01-10 17:52:50 -05:00
Tyler Goodlet 52b349fe79 Always reload shm data before annotating gaps, so they line up.. 2024-01-09 15:55:16 -05:00
Tyler Goodlet 6959429af8 Factor gap annotating into new `markup_gaps()`
Since we definitely want to markup gaps that are both data-errors and
just plain old venue closures (time gaps), generalize the `gaps:
pl.DataFrame` loop in a func and call it from the `ldshm` cmd for now.

Some other tweaks to `store ldshm`:
- add `np.median()` failover when detecting (ohlc) ts sample rate.
- use new `tsp.dedupe()` signature.
- differentiate between sample-period size gaps and venue closure gaps
  by calling `tsp.detect_time_gaps()` with diff size thresholds.
- add todo for backfilling null-segs when detected.
2024-01-04 11:01:21 -05:00
Tyler Goodlet 05f874001a Ignore `ContextCancelled`s from non-mngr requests
Since service daemon actors may be cancelled remotely by clients (who
maybe also requested said daemon-actor's spawn in the first place) we
specifically ignore `tractor.ContextCancelled`s from the `ctx.wait()`
inside `Services.start_service_task()` to avoid crashing the service
mngr, and thus for now `pikerd`, (which **does** happen now due to
updated and more explicit remote cancellation semantics implemented in
`tractor`) since the `.canceller` field is not going to match the
`pikerd` uid in such cases!

This explicit check makes sense since the `Services` mngr is built to
allow remote requests to "spawn-n-supervise service actors" where the
services can remain persistent but also cancelled later as requested. We
may want to consider only allowing cancellation by actors who requested
spawn in the future tho?

Also change to more explicit imports to `tractor` types for annots
throughout the sub-pkg.
2024-01-04 10:06:42 -05:00
Tyler Goodlet fc216d37de Drop `__all__` import style from `.services` 2024-01-04 10:05:53 -05:00
Tyler Goodlet 03e429abf8 Extend `enable_modules` from input `tractor_kwargs`
Since certain actors (even if client-like) will want to augment their
module set to provide remote features (such as our new rc annotation
msg-prot for `Qt`-chart actors) we need to ensure we merge in any input
`enable_modules: list[str]` to the value passed to the underlying
`tractor` spawning api. Previously we were passing `_root_modules` as
this value by name, but now instead we simply `list.extend()` that into
whatever is in the `kwargs` both in `open_piker_runtime()` and
`open_pikerd()`.
2024-01-04 09:59:15 -05:00
Tyler Goodlet 7ae7cc829f `tsp`: on backfill, do a smart retry on a `NoData`
Presuming the data provider gives us a config with a `frame_types: dict`
(indicating frame sizes per query/request) we try to be clever and
decrement our submitted `end_dt: DateTime` based on it.. hoping for the
best on the next attempt.
2024-01-03 19:49:41 -05:00
Tyler Goodlet b23d44e21a ib; return `None` on empty bars frame resp so as to trigger raising `NoData` in the caller 2024-01-03 18:16:48 -05:00
Tyler Goodlet 2669db785c Workaround `binance`'s latest API schema bs..
Apparently publishing futures contracts that aren't yet trading AND
changing their contract type `str` format/schema was necessary (such
that's there's a f@#$in space in it..)?

I honestly have no idea where they found their "data engineers" XD

TO CHERRY to #520
2024-01-03 17:50:09 -05:00
Tyler Goodlet d3e7b5cd0e Formalize rc `redraw()` msg-endpoint
So now a chart rc client can ask to invoke the new
`Viz.reset_graphics()` by timeframe and fqme Bo This handy when doing
underlying (real time or tsp) edits and you want to make the UI reflect
the changes incrementally.

Impl deatz:
- tweak the msg schema to use a `cmd:  str` which normally maps to
  (something similar to) the UI method name instead of `annot` and now
  offer 3 such "commands": 'redraw', 'remove', 'SelectRect'.
- impl `AnnotCtl.redraw()` which sends the underlying `msg: dict` on the
  correct `tractor.Msgstream` ipc instance.
  - since ipc-stream lookups now happen in multiple client methods impl
    a private `._get_ipc()` to do the error raise on unknown fqmes.
2024-01-03 17:33:15 -05:00
Tyler Goodlet 9be29a707d Make `ib` failed history requests more debug-able
Been hitting wayy too many cases like this so, finally put my foot down
and stuck in a buncha helper code to figure why (especially for gappy
ass pennies) this can/is happening XD

inside the `.ib.api.Client()`:
- in `.bars()` pack all `.reqHistoricalDataAsync()` kwargs into a dict such that
  wen/if we rx a blank frame we can enter pdb and make sync calls using
  a little `get_hist()` closure from the REPL.
  - tidy up type annots a bit too.
- add a new `.maybe_get_head_time()` meth which will return `None` when
  the dt can't be retrieved for the contract.

inside `.feed.open_history_client()`:
- use new `Client.maybe_get_head_time()` and only do `DataUnavailable`
  raises when the request `end_dt` is actually earlier.
- when `get_bars()` returns a `None` and the `head_dt` is not earlier
  then the `end_dt` submitted, raise a `NoData` with more `.info: dict`.
- deliver a new `frame_types: dict[int, pendulum.Duration]` as part
  of the yielded `config: dict`.
- in `.get_bars()` always assume a `tuple` returned from
  `Client.bars()`.
  - return a `None` on empty frames instead of raising `NoData` at this
    call frame.
- do more explicit imports from `pendulum` for brevity.

inside `.brokers._util`:
- make `NoData` take an `info: dict` as input to allow backends to pack
  in empty frame meta-data for (eventual) use in the tsp back-filling
  layer.
2023-12-29 21:59:59 -05:00
Tyler Goodlet c82ca812a8 Pass display state table to interaction handlers
This took a teensie bit of reworking in some `.ui` modules
more or less in the following order of functional dependence:

- add a `Ctl-R` kb-binding to trigger a `Viz.reset_graphics()` in
  the kb-handler task `handle_viewmode_kb_inputs()`.
  - call the new method on all `Viz`s (& for all sample-rates) and
    `DisplayState` refs provided in a (new input)
    `dss: dict[str, DisplayState]` table, which was originally inite-ed
    from the multi-feed display loop (so orig in `.graphics_update_loop()`
    but now provided as an input to that func, see below..)
- `._interaction`: allow binding in `async_handler()` kwargs (`via
  a `functools.partial`) passed to `ChartView.open_async_input_handler()`
  such that arbitrary inputs to our kb+mouse handler funcs can accept
  "wtv we desire".
  - use ^ to bind in the aforementioned `dss` display-state table to
    said handlers!
- define the `dss` table (as mentioned) inside `._display.display_symbol_data()`
  and pass it into the update loop funcs as well as the newly augmented
  `.open_async_input_handler()` calls,
  - drop calling `chart.view.open_async_input_handler()` from the
    `.order_mode.open_order_mode()`'s enter block and instead factor it
    into the caller to support passing the `dss` table to the kb
    handlers.
  - comment out the original history update loop handling of forced `Viz`
    redraws entirely since we now have a manual method via `Ctl-R`.
  - now, just update the `._remote_ctl.dss: dict` with this table since
    we want to also provide rc for **all** loaded feeds, not just the
    currently shown one/set.
- docs, naming and typing tweaks to `._event.open_handlers()`
2023-12-28 21:06:06 -05:00
Tyler Goodlet a7ad50cf8f Add `Viz.reset_graphics()` for "force re-render"
Since we're now using it multiple layers probably makes sense to impl
and wrap it more correctly / publicly. The main (recent) use case is
where editing an underlying time series and then wanting to refresh the
graphics layers to reflect the changes in a chart. Part of this also
obviously includes wiping the y-range mx/mn cache.

Also ensure that `force_redraw` is proxying through to any `BarItems`
via the new `render_baritems()` func kwarg even when switching between
downsampled-line vs. bars modes.
2023-12-28 18:00:26 -05:00
Tyler Goodlet 661805695e Reimpl axis dt label contents gen with `polars`
Since `polars` has a more sane set of (time-zone aware) datetime APIs it
makes more sense and is definitely no slower then the previous `numpy`
impl. Also, actually use the sample-rate specific formats defined in
`DynamicDateAxis.tick_tpl`: dict[int, str]` finally using the new
`Viz.time_step()` property.
2023-12-28 11:08:29 -05:00
Tyler Goodlet 3de7c9a9eb Add `Viz.time_step()`, the sample step-size in time
Since we end up needing the actual (OHLC sampled) time step info (at
least in seconds) for various purposes (in this specific follow up use
case to determine sample-rate specific `datetime` format strings for
a charted time series x-axis label), allow always reading it from the
viz with the presumption (at least for now) the underlying data-frame
will have an epoch `'time'` col/field.
2023-12-28 11:02:06 -05:00
Tyler Goodlet 59536bd284 Use `import <name> as <name>,` in `.tsp`
Thanks to oremanj in the `trio` room for this hot style tip which i much
prefer to have less LOC and places to change sub-pkg name exports!

Also drop expecting a `gaps` frame output from `dedupe()`.
2023-12-28 10:58:22 -05:00
Tyler Goodlet 5702e422d8 Drop gap detection from `dedupe()`, expect caller to handle it 2023-12-28 10:40:08 -05:00
Tyler Goodlet 07331a160e Expose "bar gap margin" as `.ui._formatters.BGM: float` 2023-12-28 10:37:20 -05:00
Tyler Goodlet 0d18cb65c3 Lul, actually detect gaps for 1s OHLC
Turns out we were always filtering to time gaps longer then a day smh..
Instead tweak `detect_time_gaps()` to only return venue-gaps when
a `gap_dt_unit: str` is passed and pass `'days'` (like it was by default
before) from `dedupe()` though we should really pass in an actual venue
gap duration in the future.
2023-12-27 16:55:00 -05:00
Tyler Goodlet ad565936ec Factor UI-rc loop into ctx-free func
In theory the `async for msg` loop can be re-purposed without having to
always call `remote_annotate()` so factor it into a new
`serve_rc_annots()` and then just call it from the former (for now) with
the wrapping `try:` block outside to delete per-client-ctx annotation
instance sets. Also, use some type aliases instead of repeatedly
defining the same complex `dict`-table defs B)
2023-12-26 20:56:04 -05:00
Tyler Goodlet d4b07cc95a `ui._lines`: more direct Qt imports for typing 2023-12-26 20:49:07 -05:00
Tyler Goodlet 1231c459aa Track data feed subscribers using a new `Sub(Struct)`
In prep for supporting reverse-ipc connect-back to UI actors from
middle-ware systems (for the purposes of triggering data-view canvas
re-renders and built-in tsp annotations), add a new struct type to
better generalize the management of remote feed subscriptions. Include
a `Sub.rc_ui: bool` for now (with nearby todo-comment) and expose an
`allow_remote_ctl_ui: bool` through the feed endpoints to help drive
/ prep for all that ^

Rework all the sampler tasks to expect the `Sub`'s new iface:

- split up the `Sub.ipc: MsgStream`  and `.send_chan` as separate fields
  since we're handling the throttle case in separate
  `sample_and_broadcast()` logic blocks anyway and avoids needing to
  monkey-patch on the `._ctx` malarky..
- explicitly provide the optional handle to the `_throttle_cs:
  CancelScope` again for the case where throttling/event-downsampling is
  requested.
- add `_FeedsBus.subs_items()` as a public iterator.
2023-12-26 20:48:06 -05:00
Tyler Goodlet 88f415e5b8 Cannot delete when the rect has no scene.. 2023-12-26 17:36:34 -05:00
Tyler Goodlet d9c574e291 Add `.sort()` support to `dedupe()` 2023-12-26 17:35:38 -05:00
Tyler Goodlet a86573b5a2 Fix .parquet filenaming..
Apparently `.storage.nativedb.mk_ohlcv_shm_keyed_filepath()` was always
kinda broken if you passed in a `period: float` with an actual non-`int`
to the format string? Fixed it to strictly cast to `int()` before
str-ifying so that you don't get weird `60.0s.parquet` in there..

Further this rejigs the `sotre ldshm` gap correction-annotation loop to,
- use `StorageClient.write_ohlcv()` instead of hackily re-implementing
  it.. now that problem from above is fixed!
- use a `needs_correction: bool` var to determine if gap markup and
  de-duplictated data should be pushed to the shm buffer,
- go back to using `AnnotCtl.add_rect()` for all detected gaps such that
  they all persist (and thus are shown together) until the client
  disconnects.
2023-12-26 17:14:26 -05:00
Tyler Goodlet 1d7e97a295 Woops, need to use `.push_async_callback()`
For non-full-`.__aexit__()` handlers need this method instead (facepalm).
Also create and assign the `AnnotCtl._annot_stack: AsyncExitStack` just
before yielding the client since it's not needed prior and ensures annot
removal happens **before** ipc teardown.
2023-12-24 15:08:44 -05:00
Tyler Goodlet bbb98597a0 Add annot removal via client methods or ctx-mngr
Since leaking annots to a remote `chart` actor probably isn't a thing we
want to do (often), add a removal/deletion handler block to the
`remote_annotate()` ctx which can be triggered using a `{rm_annot: aid}`
msg.

Augmnent the `AnnotCtl` with,
- `.remove() which sends said msg (from above) and returns a `bool`
  indicating success.
- add an `.open_rect()` acm which does the `.add_rect()` / `.remove()`
  calls underneath for use in scope oriented client usage.
- add a `._annot_stack: AsyncExitStack` which will always have any/all
  non-`.open_rect()` calls to `.add_rect()` register removal on client
  teardown, to avoid leaking annots when a client finally disconnects.
- comment out the `.modify()` meth idea for now.
- rename all `Xstream` var-tags to `Xipc` names.
2023-12-24 14:42:12 -05:00
Tyler Goodlet e33d6333ec Woops, remove the label-proxy, not the widget.. 2023-12-24 13:59:16 -05:00
Tyler Goodlet 263a5a8d07 Add `SelectRect.delete()` for permanent scene dealloc 2023-12-23 13:37:47 -05:00
Tyler Goodlet a681b2f0bb Drop passing `bus` to `tsp.manage_history()` in feed allocator 2023-12-22 21:44:38 -05:00
Tyler Goodlet 5b0c94933b `.config`: don't hack the user config dir if user is 'root' and sudo was NOT used.. 2023-12-22 21:41:51 -05:00
Tyler Goodlet 61e52213b2 Oof, fix no-tsdb-entry since needs full backfill case!
Got borked by the logic re-factoring to get more conc going around
tsdb vs. latest frame loads with nested nurseries. So, repair all that
such that we can still backfill symbols previously not loaded as well as
drop all the `_FeedBus` instance passing to subtasks where it's
definitely not needed.

Toss in a pause point around sampler stream `'backfilling'` msgs as well
since there's seems to be a weird ctx-cancelled propagation going on
when a feed client disconnects during backfill and this might be where
the src `tractor.ContextCancelled` is getting bubbled from?
2023-12-22 21:34:31 -05:00
Tyler Goodlet b064a5f94d A working remote annotations controller B)
Obvi took a little `.ui` component fixing (as per prior commits) but
this is now a working PoC for gap detection and markup from a remote
(data) non-`chart` actor!

Iface and impl deats from `.ui._remote_ctl`:
- add new `open_annot_ctl()` mngr which attaches to all locally
  discoverable chart actors, gathers annot-ctl streams per fqme set, and
  delivers a new `AnnotCtl` client which allows adding annotation
  rectangles via a `.add_rect()` method.
  - also template out some other soon-to-get methods for removing and
    modifying pre-exiting annotations on some `ChartView` 💥
- ensure the `chart` CLI subcmd starts the (`qtloops`) guest-mode init
  with the `.ui._remote_ctl` module enabled.
- actually use this stuff in the `piker store ldshm` CLI to submit
  markup rects around any detected null/time gaps in the tsdb data!

Still lots to do:
-  probably colorization of gaps depending on if they're venue
   closures (aka real mkt gaps) vs. "missing data" from the backend (aka
   timeseries consistency gaps).
- run gap detection and markup as part of the std `.tsp` sub-sys
   runtime such that gap annots are a std "built-in" feature of
   charting.
- support for epoch time stamp AND abs-shm-index rect x-values
  (depending on chart operational state).
2023-12-22 15:19:20 -05:00
Tyler Goodlet e7fa841263 Pass scene-points to `.select_box` as per prior comments
As mentioned in a prior commit this was the (seemingly, and so far) only
way to make our `.select_box` annotator shift-click rect work properly
(and the same as) by adopting the code around `ViewBox.rbScaleBox`
(which we now also disable). That means also passing the scene coords to
the `SelectRect.set_scen_pos()`. Also add in the proper `ev:
pyqtgraph.GraphicsScene.mouseEvents.MouseDragEvent` so we can actually
figure out wut the hell all this pg custom mouse-event stuff is XD
2023-12-22 12:09:08 -05:00
Tyler Goodlet 1f346483a0 Always pass full `ShmArray._array` buf to `ContentsLables` updates so the label can be used outside the "backfilled-valid" range 2023-12-22 12:06:55 -05:00
Tyler Goodlet d006ecce7e Fix `._pg_overrides` import cycle caused by our `Axis` override 2023-12-22 12:05:18 -05:00
Tyler Goodlet 69368f20c2 Finally fix our `SelectRect` for use with cursor..
Turns out using the `.setRect()` method was the main cause of the issue
(though still don't really understand how or why) and this instead
adopts verbatim the code from `pg.ViewBox.updateScaleBox()` which uses
a scaling transform to set the rect for the "zoom scale box" thingy.

Further add a shite ton more improvements and interface tweaks in
support of the new remote-annotation control msging subsys:
- re-impl `.set_scen_pos()` to expect `QGraphicsScene` coordinates (i.e.
  passed from the interaction loop and pass scene `QPointF`s from
  `ViewBox.mouseDragEvent()` using the `MouseDragEvent.scenePos()` and
  friends; this is required to properly use the transform setting
  approach to resize the select-rect as mentioned above.
- add `as_point()` converter to maybe-cast python `tuple[float, float]`
  inputs (prolly from IPC msgs) to equivalent `QPointF`s.
- add a ton more detailed Qt-obj-related typing throughout our deriv.
- call `.add_to_view()` from init so that wtv view is passed in during
  instantiation is always set as the `.vb` after creation.
- factor the (proxy widget) label creation into a new `.init_label()`
  so that both the `set_scen/view_pos()` methods can call it and just
  generally decouple rect-pos mods from label content mods.
2023-12-22 11:47:31 -05:00
Tyler Goodlet 31fa0b02f5 Append any `enable_modules` specc-ed in the chart guest-mode runner 2023-12-21 20:40:00 -05:00
Tyler Goodlet 5a60974990 Use explicit `.data.feed` import of `tractor.trionics` 2023-12-21 20:26:45 -05:00
Tyler Goodlet 8d324acf91 First (untested) draft remote annotation ctl API
Since we can and want to eventually allow remote control of pretty much
all UIs, this drafts out a new `.ui._remote_ctl` module with a new
`@tractor.context` called `remote_annotate()` which simply starts a msg
loop which allows for (eventual) initial control of a `SelectRect`
through IPC msgs.

Remote controller impl deats:
- make `._display.graphics_update_loop()` set a `._remote_ctl._dss:
  dict` for all chart actor-global `DisplayState` instances which can
  then be controlled from the `remote_annotate()` handler task.
- also stash any remote client controller `tractor.Context` handles in
  a module var for broadband IPC cancellation on any display loop
  shutdown.
- draft a further global map to track graphics object instances since
  likely we'll want to support remote mutation where the client can use
  the `id(obj): int` key as an IPC handle/uuid.
- just draft out a client-side `@acm` for now: `open_annots_client()` to
  be filled out in up coming commits.

UI component tweaks in support of the above:
- change/add `SelectRect.set_view_pos()` and `.set_scene_pos()` to allow
  specifying the rect coords in either of the scene or viewbox domains.
  - use these new apis in the interaction loop.
- add a `SelectRect.add_to_view()` to avoid having annotation client
  code knowing "how" a graphics obj needs to be added and can instead
  just pass only the target `ChartView` during init.
- drop all the status label updates from the display loop since they
  don't really work all the time, and probably it's not a feature we
  want to keep in the longer term (over just console output and/or using
  the status bar for simpler "current state / mkt" infos).
  - allows a bit of simplification of `.ui._fsp` method APIs to not pass
    around status (bar) callbacks as well!
2023-12-19 15:36:54 -05:00
Tyler Goodlet ab84303da7 Drop `SelectRect.mouse_drag_released()` since it was a dumb method 2023-12-18 20:32:17 -05:00
Tyler Goodlet 659649ec48 Bah, fix nursery indents for maybe tsdb backloading
Can't ref `dt_eps` and `tsdb_entry` if they don't exist.. like for 1s
sampling from `binance` (which dne). So make sure to add better logic
guard and only open the finaly backload nursery if we actually need to
fill the gap between latest history and where tsdb history ends.

TO CHERRY #486
2023-12-18 19:46:59 -05:00
Tyler Goodlet f7cc43ee0b Add pauses to `store anal/ldshm` only on bad segs
Particularly halting before maybe writing the repaired timeseries
history in `store anal` to optionally allow user to avoid writing to
storage.
2023-12-18 11:56:57 -05:00
Tyler Goodlet f5dc21d3f4 Adjust all `.tsp` imports to use new sub-pkg
Also toss in a poll loop around the `hist_shm: ShmArray` backfill
read-check in the `.data.allocate_persisten_feed()`  init to cope with
possible racy-ness from the increased tsdb history loading concurrency
now implemented.
2023-12-18 11:54:28 -05:00
Tyler Goodlet 4568c55f17 Create `piker.tsp` "time series processing" subpkg
Move `.data.history` -> `.tsp.__init__.py` for now as main pkg-mod
and `.data.tsp` -> `.tsp._anal` (for analysis).

Obviously follow commits will change surrounding codebase (imports) to
match..
2023-12-18 11:53:27 -05:00
Tyler Goodlet d5d68f75ea ib: only raise first quote timeout err after tries
Previously we were actually failing silently too fast instead of
actually trying multiple times (now we do for 100) before finally
raising any timeout in the final loop `else:` block.
2023-12-18 11:45:19 -05:00
Tyler Goodlet 1f9a497637 Fixup symcache annot for kucoin as well 2023-12-15 16:01:31 -05:00
Tyler Goodlet 40c5d88a9b Fixup symcache type annots; no more `Pair` type 2023-12-15 16:00:51 -05:00
Tyler Goodlet 8989c73a93 Move `iter_dfs_from_shms` into `.data.history`
Thinking about just moving all of that module (after a content breakup)
to a new `.piker.tsp` which will mostly depend on the `.data` and
`.storage` sub-pkgs; the idea is to move biz-logic for tsdb IO/mgmt and
orchestration with real-time (shm) buffers and the graphics layer into
a common spot for both manual analysis/research work and better
separation of low level data structure primitives from their higher
level usage.

Add a better `data.history` mod doc string in prep for this move
as well as clean out a bunch of legacy commented cruft from the
`trimeter` and `marketstore` days.

TO CHERRY #486 (if we can)
2023-12-15 15:53:02 -05:00
Tyler Goodlet 3639f360c3 Reactivate forced viz updates from sampler broadcasts in hist display loop 2023-12-15 13:59:19 -05:00
Tyler Goodlet afd0781b62 Add (shm) abs index to `ContextLabel` 2023-12-15 13:57:10 -05:00
Tyler Goodlet ba154ef413 ib: don't bother with recursive not-enough-bars queries for now, causes more problems then it solves.. 2023-12-15 13:56:42 -05:00
Tyler Goodlet 97e2403fb1 Rework backfiller and null-segment task conc
For each timeframe open a sub-nursery to do the backfilling + tsdb load
+ null-segment scanning in an effort to both speed up load time (though
we need to reverse the current order to really make it faster rn since
moving to the much faster parquet file backend) and do concurrent
time-gap/null-segment checking of tsdb history while mrf (most recent
frame) history is backfilling.

The details are more or less just `trio` related task-func composition
tricks and a reordering of said funcs for optimal startup latency.
Also commented the `back_load_from_tsdb()` task for now since it's
unused.
2023-12-15 13:11:00 -05:00
Tyler Goodlet a4084d6a0b Bleh, fix another off-by-one issue in `np.argwhere()`
Apparently it returns the index of the prior zero-row (prolly since we
do the backward difference) so ensure `fi_zgaps += 1`..

Also fix remaining edge case handling when there's only 2 zero-segs
which was borked after a refactor to the special case blocks (like
a single zero row) prior to the `absi_zsegs` building loop AND make sure
to always return abs indices OUTSIDE the zero seg, i.e. the indices of
the non-zero row just before and just after so that the history
backfiller can use non-zero timestamps to generate range datetimes for
backend frame queries.

Add much more detailed doc-comments with a small ascii diagram to
explain how all these somewhat subtle vec ops work. Also toss in some
sanity checks on the output indices to ensure they don't point to
zero (time) valued rows when used to read the frame.
2023-12-15 12:48:50 -05:00
Tyler Goodlet 83bdca46a2 Wrap null-gap detect and fill in async gen
Call it `iter_null_segs()` (for now?) and use in the final (sequential)
stage of the `.history.start_backfill()` task-func. Delivers abs,
frame-relative, and equiv time stamps on each iteration pertaining to
each detected null-segment to make it easy to do piece-wise history
queries for each.

Further,
- handle edge case in `get_null_segs()` where there is only 1 zeroed
  row value, in which case we deliver `absi_zsegs` as a single pair of
  the same index value and,
  - when this occurs `iter_null_seqs()` delivers `None` for all the
    `start_` related indices/timestamps since all `get_hist()` routines
    (delivered by `open_history_client()`) should handle it as being a
    "get max history from this end_dt" type query.
- add note about needing to do time gap handling where there's a gap in
  the timeseries-history that isn't actually IN the data-history.
2023-12-13 18:29:06 -05:00
Tyler Goodlet c129f5bb4a Finally write a general purpose null-gap detector!
Using a bunch of fancy `numpy` vec ops (and ideally eventually extending
the same to `polars`) this is a first draft of `get_null_segs()`
a `col: str` field-value-is-zero detector which filters to all zero-valued
input frame segments and returns the corresponding useful slice-indexes:
- gap absolute (in shm buffer terms) index-endpoints as
  `absi_zsegs` for slicing to each null-segment in the src frame.
- ALL abs indices of rows with zeroed `col` values as `absi_zeros`.
- the full set of the input frame's row-entries (view) which are
  null valued for the chosen `col` as `zero_t`.

Use this new null-segment-detector in the
`.data.history.start_backfill()` task to attempt to fill null gaps that
might be extant from some prior backfill attempt. Since
`get_null_segs()` should now deliver a sequence of slices for each gap
we don't really need to have the `while gap_indices:` loop any more, so
just move that to the end-of-func and warn log (for now) if all gaps
aren't eventually filled.

TODO:
-[ ] do the null-seg detection and filling concurrently from
  most-recent-frame backfilling.
-[ ] offer the same detection in `.storage.cli` cmds for manual tsp
  anal.
-[ ] make the graphics layer actually update correctly when null-segs
  are filled (currently still broken somehow in the `Viz` caching
  layer?)

CHERRY INTO #486
2023-12-13 15:26:33 -05:00
Tyler Goodlet c4853a3fee Drop inter-method NL 2023-12-13 09:27:23 -05:00
Tyler Goodlet f274c3db3b Import `np2pl()` from `.data.tsp`
Also toss in todo for a timeseries search CLI cmd which can be handy
when doing offine store mgmt.
2023-12-13 09:25:44 -05:00
Tyler Goodlet b95932ea09 `.data.history`: run `.tsp.dedupe()` in backloader
In an effort to catch out-of-order and/or partial-frame-duplicated
segments, add some `.tsp` calls throughout the backloader tasks
including a call to the new `.sort_diff()` to catch the out-of-order
history cases.
2023-12-12 19:57:46 -05:00
Tyler Goodlet e8bf4c6e04 Return the `.len()` diff from `dedupe()` instead
Since the `diff: int` serves as a predicate anyway (when `0` nothing
duplicate was detected) might as well just return it directly since it's
likely also useful for the caller when doing deeper anal.

Also, handle the zero-diff case by just returning early with a copy of
the input frame and a `diff=0`.

CHERRY INTO #486
2023-12-12 16:48:56 -05:00
Tyler Goodlet 8e4d1a48ed Bleh, fix ib's `Client.bars()` recursion..
Turns out this was the main source of all sorts of gaps and overlaps
in history frame backfilling. The original idea was that when a gap
causes not enough (1m) bars to be delivered (like over a weekend or
holiday) when we just implicitly do another frame query to try and at
least fill out the default duration (normally 1-2 days). Doing the
recursion sloppily was causing all sorts of stupid problems..

It's kinda obvious now what was wrong in hindsight:
- always pass the sampling period (timeframe) when recursing
- adjust the logic to not be mutex with the no-data case (since it
  already is mutex..)
- pack to the `numpy` array BEFORE the recursive call to ensure the
  `end_dt: DateTime` is selected and passed correctly!

Toss in some other helpfuls:
- more explicit `pendulum` typing imports
- some masked out sorted-diffing checks (that can be enabled when
  debugging out-of-order frame issues)
- always error log about less-than time step mismatches since we should never
  have time-diff steps **smaller** then specified in the
  `sample_period_s`!
2023-12-12 16:19:21 -05:00
Tyler Goodlet b03eceebef data.tsp: drop masked `return` one liner 2023-12-11 20:11:42 -05:00
Tyler Goodlet f7a8d79b7b Add `NativeStorageClient._cache_df()` use it in `.write_ohlcv()` for caching on writes as well 2023-12-11 20:10:53 -05:00
Tyler Goodlet 49c458710e Move `numpy` <-> `polars` converters into `.data.tsp`
Yet again these are (going to be) generally useful in the data proc
layer as well as going forward with (possibly) moving the history and
shm rt-processing layer to apache (arrow or other) shared-ds
equivalents.
2023-12-11 17:53:31 -05:00
Tyler Goodlet b94582cb35 Move `dedupe()` to `.data.tsp` (so it has pals)
Includes a rename of `.data._timeseries` -> `.data.tsp` for "time series
processing", making it a public sub-mod; it contains a highly useful set
of data-frame and `numpy.ndarray` ops routines in various subsystems Bo
2023-12-11 16:24:27 -05:00
Tyler Goodlet 7311000846 Facepalm, set `was_deduped` as bool not the deduped frame.. 2023-12-11 13:18:10 -05:00
Tyler Goodlet e719733f97 Comment out overlap case block for now too? 2023-12-08 19:08:10 -05:00
Tyler Goodlet cb941a5554 BABOSO.. fix last history frame overlap slicing!
I guess since i started supporting the whole "allow a gap between
the latest tsdb sample and the latest retrieved history frame" the
overlap slicing has been completely borked XD where we've been sticking
in duplicate history samples and this has caused all sorts of down
stream time-series processing issues..

So fix that but ensuring whenever there IS an overlap between history in
the latest frame and the tsdb that we always prefer the latest frame's
data and slice OUT the tsdb's duplicate indices..

CHERRY TO #486
2023-12-08 18:56:38 -05:00
Tyler Goodlet 2d72a052aa Woops, make sure non-disti mode still works wen maybe getting `pikerd` XD 2023-12-08 17:43:52 -05:00
Tyler Goodlet 2eeef2a123 Add `dedupe()` to help with gap detection/resolution
Think i finally figured out the weird issue without out-of-order OHLC
history getting jammed in the wrong place:
- gap is detected in parquet/offline ts (likely due to a zero dt or
  other gap),
- query for history in the gap is made BUT that frame is then inserted
  in the shm buffer **at the end** (likely using array int-entry
  indexing) which inserts it at the wrong location,
- later this out-of-order frame is written to the storage layer
  (parquet) and then is repeated on further reboots with the original
  gap causing further queries for the same frame on every history
  backfill.

A set of tools useful for detecting these issues and annotating them
nicely on chart part of this patch's intent:
- `dedupe()` will detect any dt gaps, deduplicate datetime rows and
  return the de-duplicated df along with gaps table.
- use this in both `piker store anal` such that we potentially
  resolve and backfill the gaps correctly if some rows were removed.
- possibly also use this to detect the backfilling error in logic at
  the time of backfilling the frame instead of after the fact (which
  would require re-writing the shm array from something like `store
  ldshm` and would be a manual post-hoc solution, not a fix to the
  original issue..
2023-12-08 15:11:34 -05:00
Tyler Goodlet b6d2550f33 Add datetime col de-duplicator 2023-12-08 14:38:27 -05:00
Tyler Goodlet b9af6176c5 Factor `TimeseriesNotFound` to top level
TO CHERRY into #486
2023-12-07 12:31:14 -05:00
Tyler Goodlet dd0167b9a5 Make `fsp.cascade()` expect src/dst `Flume`s
Been meaning to this for a while, and there's still a few design
/ interface kinks (like `.mkt: MktPair` which should be better
generalized?) but this flips over all of the fsp chaining engine
to operate on the higher level `Flume` APIs via the newly cobbled
`Cascade` thinger..
2023-12-06 17:53:35 -05:00
Tyler Goodlet 9e71e0768f Define and pass a default `Flume._readonly: bool`
Allows opening with `.from_msg(readonly=False)` for write permissions
making underlyig shm arrays readonly. Also, make sure to pop the
`ShmArray` field entries prior to msg-ization, not sure how that worked
with the `Feed.flumes` equivalent..but?
2023-12-06 17:25:49 -05:00
Tyler Goodlet 6029f39a3f Allow `MktPair.from/to_msg()` to still do `.dst: str` for fsp flumes 2023-12-06 17:09:52 -05:00
Tyler Goodlet 656e2c6a88 fsp: intro a `Cascade` type that connects `Flume`s of streams 2023-12-05 16:59:07 -05:00
Tyler Goodlet b8065a413b ib: update ibc.ini from latest upstream template 2023-12-05 16:57:38 -05:00
Tyler Goodlet 9245d24b47 ib: add `.pause()` on symbol query overruns to aid in fixing the issue 2023-12-04 13:10:15 -05:00
Tyler Goodlet 22bd83943b .storage: support `store anal --pdb` flag 2023-12-04 13:00:33 -05:00
Tyler Goodlet b94931bbdd Fix `Portal.channel: Channel` attr name error 2023-12-04 13:00:04 -05:00
Tyler Goodlet 239c1c457e Sort fqme suggestions pre-print 2023-12-04 11:34:39 -05:00
Tyler Goodlet 24a54a7085 Add `TimeseriesNotFound` for fqme lookup failures
A common usage error is to run `piker anal mnq.cme.ib` where the CLI
passed fqme is not actually fully-qualified (in this case missing an
expiry token) and we get an underlying `FileNotFoundError` from the
`StorageClient.read_ohlcv()` call. In such key misses, scan the existing
`StorageClient._index` for possible matches and report in a `raise from`
the new error.

CHERRY into #486
2023-12-04 11:22:55 -05:00
Tyler Goodlet ebd1eb114e Port runtime init to new `tractor.Actor.reg_addrs` related changes 2023-11-21 15:18:52 -05:00
Tyler Goodlet 29ce8de462 Use new container image mentioned on IBC thread 2023-10-29 13:21:32 -04:00
Tyler Goodlet d3dab17939 order_mode: fix to avoid `Dialog.uuid` on null dialog.. 2023-10-20 13:57:52 -04:00
Tyler Goodlet cadc200818 Always ignore untracked-order error msgs from `brokerd` 2023-10-16 13:15:12 -04:00
Tyler Goodlet 363c8dfdb1 Default spec registrar set as empty addr list
Since it probably IS sane to just assume a root-actor-as-registrar
listening on the localhost as a default, AND allows NOT expecting every
caller of `open_piker_runtime()` to not have to pass an addr set XD

This makes a bucha CLI shit work again after breakage due to no
default..
2023-10-03 13:36:22 -04:00
Tyler Goodlet 00c046c280 Factor transport-ep parser/loader into helper
For now def it `.cli.load_trans_eps()` just inside the pkg mod; only
loads the ep for `pikerd` which currently acts as the main service-actor
registrar per host. Delegate to this new `.load_trans_eps()`
as-it-was-used from the `pikerd` cmd body and add fresh support for
`piker chart --maddr <addr: str>` using the routine in the body of the
`piker.cli.cli` cmd group after loading the `conf.toml::network` section
B)

Also, toss in runtime debug mode wrapping around `piker chart` using the
new `tractor.devx.maybe_open_crash_handler()` and pull the switch from
a `--pdb` flag now factored into the `.cli.cli` click group.
2023-10-03 10:00:01 -04:00
Tyler Goodlet 9165515811 ib: more detailed comments on wait-for-quote-task todo 2023-10-02 17:57:47 -04:00
Tyler Goodlet 543c11f377 ib: only normalize and log first quote if it arrives 2023-10-01 19:14:08 -04:00
Tyler Goodlet 637d33d7cc Make `.config.load_accounts()` load `brokers.toml`.. 2023-10-01 19:09:15 -04:00
Tyler Goodlet e5fdb33e31 Port cache-`dict` search to new `rapidfuzz` api 2023-10-01 17:46:46 -04:00
Tyler Goodlet 81a8cd1685 binance: always load the `brokers.toml` file since default is `conf.toml` now 2023-10-01 17:37:09 -04:00
Tyler Goodlet a382f01c85 Move tsdb section to `service.tsdb.name` and get host from `.maddrs` 2023-10-01 17:23:39 -04:00
Tyler Goodlet 653348fcd8 Use `.service.find_service()` instead of of `tractor.find_actor()` in pape-eng 2023-10-01 16:10:37 -04:00
Tyler Goodlet e139d2e259 Set `registry_addrs` in CLI (click) context-config
Since `tractor` and our runtime internals is now moved to multihomed semantics,
do the same in the CLI / config entrypoints.

Also, try using the new `tractor.devx.maybe_open_crash_handler()` around
the `pikerd` CLI.
2023-10-01 15:42:31 -04:00
Tyler Goodlet 7258d57c69 Only warn on mismatched `open_registry()` input addrs
When a new (actor) caller opens the registry there are 2 possible cases:
1. - some task already opened the registry during init and set the global
  superset of registrar addrs that are expected to be used,
2. - some task after the init task opens with a subset of addrs.
3. - some task after init opens with a disjoint set - should be an error?

In the 2nd case we don't want to error since the may just not need to
know about other registrar (multi-homed) addrs and thus only needs
specific access - so only warn about the diff in that case. If the
caller is requesting some disjoint set then we still runtime raise.

Adjust `find_service()` to allow a null `registry_addrs` input in which
case we fail over to using whatever pre-set the `Registry.addrs` has;
makes it simple for actors that don't want/need to know about the global
registrar set for their actor tree. Also, always set pass
`tractor.find_actor(only_first=True)` (for now).
2023-10-01 15:36:17 -04:00
Tyler Goodlet 5d081a40d5 Port to new `parse_maddr()` name 2023-09-29 15:20:56 -04:00
Tyler Goodlet fcececce19 Move multi-addr parser mod to `tractor` 2023-09-29 14:33:15 -04:00
Tyler Goodlet b6ac6069fe Temporarily use crash handler around search CLI ep 2023-09-29 14:02:17 -04:00
Tyler Goodlet a98f5877bc ui._exec: use new `get_runtime_vars()` name 2023-09-28 12:31:24 -04:00
Tyler Goodlet 50ddef0985 data.feed: dynamically load `ui._search` mod for headless installs 2023-09-28 12:30:10 -04:00
Tyler Goodlet b1cde3df49 config: make `conf.toml` the default load target 2023-09-28 12:29:07 -04:00
Tyler Goodlet 57010d479d Support multi-homed service actors and multiaddrs
This commit requires an equivalent commit in `tractor` which adds
multi-homed transport server support to the runtime and thus the ability
ability to listen on multiple (embedded protocol) addrs / networks as
well as exposing registry actors similarly. Multiple bind addresses can
now be (bare bones) specified either in the `conf.toml:[network]`
section, or passed on the `pikerd` CLI.

This patch specifically requires the ability to pass a `registry_addrs:
list[tuple]` into `tractor.open_root_actor()` as well as adjusts all
internal runtime routines to do the same, mostly inside the `.service`
pkg.

Further details include:
- adding a new `.service._multiaddr` parser module (which will likely be
  moved into `tractor`'s core) which supports loading lib2p2 style
  "multiaddresses" both from the `conf.toml` and the `pikerd` CLI as
  per,
- reworking the `pikerd` cmd to accept a new `--maddr`/`-m` param that
  accepts multiaddresses.
- adjust the actor-registry subsys to support multi-homing by also
  accepting a list of addrs to its top level API eps.
- various internal name changes to reflect the multi-address interface
  changes throughout.
- non-working CLI tweaks to `piker chart` (ui-client cmds) to begin
  accepting maddrs.
- dropping all elasticsearch and marketstore flags / usage from `pikerd`
  for now since we're planning to drop mkts and elasticsearch will be an
  optional dep in the future.
2023-09-28 12:13:34 -04:00
Tyler Goodlet f94244aad4 Load `network` section from `conf.toml` for service-addr map 2023-09-28 12:04:24 -04:00
Tyler Goodlet 261c331602 Try using `.mkPoetryEnv` instead for devving (dont work yet..) 2023-09-22 16:39:54 -04:00
Tyler Goodlet 3b4a4db7b6 Muck with `develop.nix` to try and hack it with `poetry` venv, go py3.11 2023-09-22 16:39:54 -04:00
89 changed files with 8916 additions and 3512 deletions

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@ -1,162 +1,161 @@
piker
-----
trading gear for hackers.
trading gear for hackers
|gh_actions|
.. |gh_actions| image:: https://img.shields.io/endpoint.svg?url=https%3A%2F%2Factions-badge.atrox.dev%2Fpikers%2Fpiker%2Fbadge&style=popout-square
:target: https://actions-badge.atrox.dev/piker/pikers/goto
``piker`` is a broker agnostic, next-gen FOSS toolset for real-time
computational trading targeted at `hardcore Linux users <comp_trader>`_ .
``piker`` is a broker agnostic, next-gen FOSS toolset and runtime for
real-time computational trading targeted at `hardcore Linux users
<comp_trader>`_ .
we use as much bleeding edge tech as possible including (but not limited to):
we use much bleeding edge tech including (but not limited to):
- latest python for glue_
- trio_ & tractor_ for our distributed, multi-core, real-time streaming
`structured concurrency`_ runtime B)
- Qt_ for pristine high performance UIs
- pyqtgraph_ for real-time charting
- ``polars`` ``numpy`` and ``numba`` for `fast numerics`_
- `apache arrow and parquet`_ for time series history management
persistence and sharing
- (prototyped) techtonicdb_ for L2 book storage
- uv_ for packaging and distribution
- trio_ & tractor_ for our distributed `structured concurrency`_ runtime
- Qt_ for pristine low latency UIs
- pyqtgraph_ (which we've extended) for real-time charting and graphics
- ``polars`` ``numpy`` and ``numba`` for redic `fast numerics`_
- `apache arrow and parquet`_ for time-series storage
.. |travis| image:: https://img.shields.io/travis/pikers/piker/master.svg
:target: https://travis-ci.org/pikers/piker
potential projects we might integrate with soon,
- (already prototyped in ) techtonicdb_ for L2 book storage
.. _comp_trader: https://jfaleiro.wordpress.com/2019/10/09/computational-trader/
.. _glue: https://numpy.org/doc/stable/user/c-info.python-as-glue.html#using-python-as-glue
.. _uv: https://docs.astral.sh/uv/
.. _trio: https://github.com/python-trio/trio
.. _tractor: https://github.com/goodboy/tractor
.. _structured concurrency: https://trio.discourse.group/
.. _marketstore: https://github.com/alpacahq/marketstore
.. _techtonicdb: https://github.com/0b01/tectonicdb
.. _Qt: https://www.qt.io/
.. _pyqtgraph: https://github.com/pyqtgraph/pyqtgraph
.. _glue: https://numpy.org/doc/stable/user/c-info.python-as-glue.html#using-python-as-glue
.. _apache arrow and parquet: https://arrow.apache.org/faq/
.. _fast numerics: https://zerowithdot.com/python-numpy-and-pandas-performance/
.. _comp_trader: https://jfaleiro.wordpress.com/2019/10/09/computational-trader/
.. _techtonicdb: https://github.com/0b01/tectonicdb
focus and features:
*******************
- 100% federated: your code, your hardware, your data feeds, your broker fills.
- zero web: low latency, native software that doesn't try to re-invent the OS
- maximal **privacy**: prevent brokers and mms from knowing your
planz; smack their spreads with dark volume.
- zero clutter: modal, context oriented UIs that echew minimalism, reduce
thought noise and encourage un-emotion.
- first class parallelism: built from the ground up on next-gen structured concurrency
primitives.
- traders first: broker/exchange/asset-class agnostic
- systems grounded: real-time financial signal processing that will
make any queuing or DSP eng juice their shorts.
- non-tina UX: sleek, powerful keyboard driven interaction with expected use in tiling wms
- data collaboration: every process and protocol is multi-host scalable.
- fight club ready: zero interest in adoption by suits; no corporate friendly license, ever.
focus and feats:
****************
fitting with these tenets, we're always open to new
framework/lib/service interop suggestions and ideas!
fitting with these tenets, we're always open to new framework suggestions and ideas.
- **100% federated**:
your code, your hardware, your data feeds, your broker fills.
building the best looking, most reliable, keyboard friendly trading
platform is the dream; join the cause.
- **zero web**:
low latency as a prime objective, native UIs and modern IPC
protocols without trying to re-invent the "OS-as-an-app"..
- **maximal privacy**:
prevent brokers and mms from knowing your planz; smack their
spreads with dark volume from a VPN tunnel.
- **zero clutter**:
modal, context oriented UIs that echew minimalism, reduce thought
noise and encourage un-emotion.
- **first class parallelism**:
built from the ground up on a next-gen structured concurrency
supervision sys.
- **traders first**:
broker/exchange/venue/asset-class/money-sys agnostic
- **systems grounded**:
real-time financial signal processing (fsp) that will make any
queuing or DSP eng juice their shorts.
- **non-tina UX**:
sleek, powerful keyboard driven interaction with expected use in
tiling wms (or maybe even a DDE).
- **data collab at scale**:
every actor-process and protocol is multi-host aware.
- **fight club ready**:
zero interest in adoption by suits; no corporate friendly license,
ever.
building the hottest looking, fastest, most reliable, keyboard
friendly FOSS trading platform is the dream; join the cause.
sane install with `poetry`
**************************
TODO!
a sane install with `uv`
************************
bc why install with `python` when you can faster with `rust` ::
rigorous install on ``nixos`` using ``poetry2nix``
**************************************************
TODO!
uv lock
hacky install on nixos
**********************
`NixOS` is our core devs' distro of choice for which we offer
``NixOS`` is our core devs' distro of choice for which we offer
a stringently defined development shell envoirment that can be loaded with::
nix-shell develop.nix
this will setup the required python environment to run piker, make sure to
run::
pip install -r requirements.txt -e .
once after loading the shell
nix-shell default.nix
install wild-west style via `pip`
*********************************
``piker`` is currently under heavy pre-alpha development and as such
should be cloned from this repo and hacked on directly.
start a chart
*************
run a realtime OHLCV chart stand-alone::
for a development install::
piker -l info chart btcusdt.spot.binance xmrusdt.spot.kraken
git clone git@github.com:pikers/piker.git
cd piker
virtualenv env
source ./env/bin/activate
pip install -r requirements.txt -e .
this runs a chart UI (with 1m sampled OHLCV) and shows 2 spot markets from 2 diff cexes
overlayed on the same graph. Use of `piker` without first starting
a daemon (`pikerd` - see below) means there is an implicit spawning of the
multi-actor-runtime (implemented as a `tractor` app).
For additional subsystem feats available through our chart UI see the
various sub-readmes:
- order control using a mouse-n-keyboard UX B)
- cross venue market-pair (what most call "symbol") search, select, overlay Bo
- financial-signal-processing (`piker.fsp`) write-n-reload to sub-chart BO
- src-asset derivatives scan for anal, like the infamous "max pain" XO
check out our charts
********************
bet you weren't expecting this from the foss::
piker -l info -b kraken -b binance chart btcusdt.binance --pdb
this runs the main chart (currently with 1m sampled OHLC) in in debug
mode and you can practice paper trading using the following
micro-manual:
``order_mode`` (
edge triggered activation by any of the following keys,
``mouse-click`` on y-level to submit at that price
):
- ``f``/ ``ctl-f`` to stage buy
- ``d``/ ``ctl-d`` to stage sell
- ``a`` to stage alert
``search_mode`` (
``ctl-l`` or ``ctl-space`` to open,
``ctl-c`` or ``ctl-space`` to close
) :
- begin typing to have symbol search automatically lookup
symbols from all loaded backend (broker) providers
- arrow keys and mouse click to navigate selection
- vi-like ``ctl-[hjkl]`` for navigation
you can also configure your position allocation limits from the
sidepane.
run in distributed mode
***********************
start the service manager and data feed daemon in the background and
connect to it::
spawn a daemon standalone
*************************
we call the root actor-process the ``pikerd``. it can be (and is
recommended normally to be) started separately from the ``piker
chart`` program::
pikerd -l info --pdb
the daemon does nothing until a ``piker``-client (like ``piker
chart``) connects and requests some particular sub-system. for
a connecting chart ``pikerd`` will spawn and manage at least,
connect your chart::
- a data-feed daemon: ``datad`` which does all the work of comms with
the backend provider (in this case the ``binance`` cex).
- a paper-trading engine instance, ``paperboi.binance``, (if no live
account has been configured) which allows for auto/manual order
control against the live quote stream.
piker -l info -b kraken -b binance chart xmrusdt.binance --pdb
*using* an actor-service (aka micro-daemon) manager which dynamically
supervises various sub-subsystems-as-services throughout the ``piker``
runtime-stack.
now you can (implicitly) connect your chart::
enjoy persistent real-time data feeds tied to daemon lifetime. the next
time you spawn a chart it will load much faster since the data feed has
been cached and is now always running live in the background until you
kill ``pikerd``.
piker chart btcusdt.spot.binance
since ``pikerd`` was started separately you can now enjoy a persistent
real-time data stream tied to the daemon-tree's lifetime. i.e. the next
time you spawn a chart it will obviously not only load much faster
(since the underlying ``datad.binance`` is left running with its
in-memory IPC data structures) but also the data-feed and any order
mgmt states should be persistent until you finally cancel ``pikerd``.
if anyone asks you what this project is about
*********************************************
you don't talk about it.
you don't talk about it; just use it.
how do i get involved?
@ -166,6 +165,15 @@ enter the matrix.
how come there ain't that many docs
***********************************
suck it up, learn the code; no one is trying to sell you on anything.
also, we need lotsa help so if you want to start somewhere and can't
necessarily write serious code, this might be the place for you!
i mean we want/need them but building the core right has been higher
prio then marketting (and likely will stay that way Bp).
soo, suck it up bc,
- no one is trying to sell you on anything
- learning the code base is prolly way more valuable
- the UI/UXs are intended to be "intuitive" for any hacker..
we obviously need tonz help so if you want to start somewhere and
can't necessarily write "advanced" concurrent python/rust code, this
helping document literally anything might be the place for you!

134
default.nix 100644
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@ -0,0 +1,134 @@
with (import <nixpkgs> {});
let
glibStorePath = lib.getLib glib;
zlibStorePath = lib.getLib zlib;
zstdStorePath = lib.getLib zstd;
dbusStorePath = lib.getLib dbus;
libGLStorePath = lib.getLib libGL;
freetypeStorePath = lib.getLib freetype;
qt6baseStorePath = lib.getLib qt6.qtbase;
fontconfigStorePath = lib.getLib fontconfig;
libxkbcommonStorePath = lib.getLib libxkbcommon;
xcbutilcursorStorePath = lib.getLib xcb-util-cursor;
qtpyStorePath = lib.getLib python312Packages.qtpy;
pyqt6StorePath = lib.getLib python312Packages.pyqt6;
pyqt6SipStorePath = lib.getLib python312Packages.pyqt6-sip;
rapidfuzzStorePath = lib.getLib python312Packages.rapidfuzz;
qdarkstyleStorePath = lib.getLib python312Packages.qdarkstyle;
xorgLibX11StorePath = lib.getLib xorg.libX11;
xorgLibxcbStorePath = lib.getLib xorg.libxcb;
xorgxcbutilwmStorePath = lib.getLib xorg.xcbutilwm;
xorgxcbutilimageStorePath = lib.getLib xorg.xcbutilimage;
xorgxcbutilerrorsStorePath = lib.getLib xorg.xcbutilerrors;
xorgxcbutilkeysymsStorePath = lib.getLib xorg.xcbutilkeysyms;
xorgxcbutilrenderutilStorePath = lib.getLib xorg.xcbutilrenderutil;
in
stdenv.mkDerivation {
name = "piker-qt6-uv";
buildInputs = [
# System requirements.
glib
zlib
dbus
zstd
libGL
freetype
qt6.qtbase
libgcc.lib
fontconfig
libxkbcommon
# Xorg requirements
xcb-util-cursor
xorg.libxcb
xorg.libX11
xorg.xcbutilwm
xorg.xcbutilimage
xorg.xcbutilerrors
xorg.xcbutilkeysyms
xorg.xcbutilrenderutil
# Python requirements.
python312Full
python312Packages.uv
python312Packages.qdarkstyle
python312Packages.rapidfuzz
python312Packages.pyqt6
python312Packages.qtpy
];
src = null;
shellHook = ''
set -e
# Set the Qt plugin path
# export QT_DEBUG_PLUGINS=1
QTBASE_PATH="${qt6baseStorePath}/lib"
QT_PLUGIN_PATH="$QTBASE_PATH/qt-6/plugins"
QT_QPA_PLATFORM_PLUGIN_PATH="$QT_PLUGIN_PATH/platforms"
LIB_GCC_PATH="${libgcc.lib}/lib"
GLIB_PATH="${glibStorePath}/lib"
ZSTD_PATH="${zstdStorePath}/lib"
ZLIB_PATH="${zlibStorePath}/lib"
DBUS_PATH="${dbusStorePath}/lib"
LIBGL_PATH="${libGLStorePath}/lib"
FREETYPE_PATH="${freetypeStorePath}/lib"
FONTCONFIG_PATH="${fontconfigStorePath}/lib"
LIB_XKB_COMMON_PATH="${libxkbcommonStorePath}/lib"
XCB_UTIL_CURSOR_PATH="${xcbutilcursorStorePath}/lib"
XORG_LIB_X11_PATH="${xorgLibX11StorePath}/lib"
XORG_LIB_XCB_PATH="${xorgLibxcbStorePath}/lib"
XORG_XCB_UTIL_IMAGE_PATH="${xorgxcbutilimageStorePath}/lib"
XORG_XCB_UTIL_WM_PATH="${xorgxcbutilwmStorePath}/lib"
XORG_XCB_UTIL_RENDER_UTIL_PATH="${xorgxcbutilrenderutilStorePath}/lib"
XORG_XCB_UTIL_KEYSYMS_PATH="${xorgxcbutilkeysymsStorePath}/lib"
XORG_XCB_UTIL_ERRORS_PATH="${xorgxcbutilerrorsStorePath}/lib"
LD_LIBRARY_PATH="$LD_LIBRARY_PATH:$QTBASE_PATH"
LD_LIBRARY_PATH="$LD_LIBRARY_PATH:$QT_PLUGIN_PATH"
LD_LIBRARY_PATH="$LD_LIBRARY_PATH:$QT_QPA_PLATFORM_PLUGIN_PATH"
LD_LIBRARY_PATH="$LD_LIBRARY_PATH:$LIB_GCC_PATH"
LD_LIBRARY_PATH="$LD_LIBRARY_PATH:$DBUS_PATH"
LD_LIBRARY_PATH="$LD_LIBRARY_PATH:$GLIB_PATH"
LD_LIBRARY_PATH="$LD_LIBRARY_PATH:$ZLIB_PATH"
LD_LIBRARY_PATH="$LD_LIBRARY_PATH:$ZSTD_PATH"
LD_LIBRARY_PATH="$LD_LIBRARY_PATH:$LIBGL_PATH"
LD_LIBRARY_PATH="$LD_LIBRARY_PATH:$FONTCONFIG_PATH"
LD_LIBRARY_PATH="$LD_LIBRARY_PATH:$FREETYPE_PATH"
LD_LIBRARY_PATH="$LD_LIBRARY_PATH:$LIB_XKB_COMMON_PATH"
LD_LIBRARY_PATH="$LD_LIBRARY_PATH:$XCB_UTIL_CURSOR_PATH"
LD_LIBRARY_PATH="$LD_LIBRARY_PATH:$XORG_LIB_X11_PATH"
LD_LIBRARY_PATH="$LD_LIBRARY_PATH:$XORG_LIB_XCB_PATH"
LD_LIBRARY_PATH="$LD_LIBRARY_PATH:$XORG_XCB_UTIL_IMAGE_PATH"
LD_LIBRARY_PATH="$LD_LIBRARY_PATH:$XORG_XCB_UTIL_WM_PATH"
LD_LIBRARY_PATH="$LD_LIBRARY_PATH:$XORG_XCB_UTIL_RENDER_UTIL_PATH"
LD_LIBRARY_PATH="$LD_LIBRARY_PATH:$XORG_XCB_UTIL_KEYSYMS_PATH"
LD_LIBRARY_PATH="$LD_LIBRARY_PATH:$XORG_XCB_UTIL_ERRORS_PATH"
export LD_LIBRARY_PATH
RPDFUZZ_PATH="${rapidfuzzStorePath}/lib/python3.12/site-packages"
QDRKSTYLE_PATH="${qdarkstyleStorePath}/lib/python3.12/site-packages"
QTPY_PATH="${qtpyStorePath}/lib/python3.12/site-packages"
PYQT6_PATH="${pyqt6StorePath}/lib/python3.12/site-packages"
PYQT6_SIP_PATH="${pyqt6SipStorePath}/lib/python3.12/site-packages"
PATCH="$PATCH:$RPDFUZZ_PATH"
PATCH="$PATCH:$QDRKSTYLE_PATH"
PATCH="$PATCH:$QTPY_PATH"
PATCH="$PATCH:$PYQT6_PATH"
PATCH="$PATCH:$PYQT6_SIP_PATH"
export PATCH
# Install deps
uv lock
'';
}

View File

@ -1,28 +1,34 @@
with (import <nixpkgs> {});
with python310Packages;
stdenv.mkDerivation {
name = "pip-env";
name = "poetry-env";
buildInputs = [
# System requirements.
readline
# TODO: hacky non-poetry install stuff we need to get rid of!!
virtualenv
setuptools
pip
# obviously, and see below for hacked linking
pyqt5
poetry
# virtualenv
# setuptools
# pip
# Python requirements (enough to get a virtualenv going).
python310Full
python311Full
# obviously, and see below for hacked linking
python311Packages.pyqt5
python311Packages.pyqt5_sip
# python311Packages.qtpy
# numerics deps
python310Packages.python-Levenshtein
python310Packages.fastparquet
python310Packages.polars
python311Packages.levenshtein
python311Packages.fastparquet
python311Packages.polars
];
# environment.sessionVariables = {
# LD_LIBRARY_PATH = "${pkgs.stdenv.cc.cc.lib}/lib";
# };
src = null;
shellHook = ''
# Allow the use of wheels.
@ -30,13 +36,12 @@ stdenv.mkDerivation {
# Augment the dynamic linker path
export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:${R}/lib/R/lib:${readline}/lib
export QT_QPA_PLATFORM_PLUGIN_PATH="${qt5.qtbase.bin}/lib/qt-${qt5.qtbase.version}/plugins";
if [ ! -d "venv" ]; then
virtualenv venv
if [ ! -d ".venv" ]; then
poetry install --with uis
fi
source venv/bin/activate
poetry shell
'';
}

View File

@ -19,8 +19,9 @@ services:
# other image tags available:
# https://github.com/waytrade/ib-gateway-docker#supported-tags
# image: waytrade/ib-gateway:981.3j
image: waytrade/ib-gateway:1012.2i
# image: waytrade/ib-gateway:1012.2i
image: ghcr.io/gnzsnz/ib-gateway:latest
restart: 'no' # restart on boot whenev there's a crash or user clicsk
network_mode: 'host'

View File

@ -117,9 +117,57 @@ SecondFactorDevice=
# If you use the IBKR Mobile app for second factor authentication,
# and you fail to complete the process before the time limit imposed
# by IBKR, you can use this setting to tell IBC to exit: arrangements
# can then be made to automatically restart IBC in order to initiate
# the login sequence afresh. Otherwise, manual intervention at TWS's
# by IBKR, this setting tells IBC whether to automatically restart
# the login sequence, giving you another opportunity to complete
# second factor authentication.
#
# Permitted values are 'yes' and 'no'.
#
# If this setting is not present or has no value, then the value
# of the deprecated ExitAfterSecondFactorAuthenticationTimeout is
# used instead. If this also has no value, then this setting defaults
# to 'no'.
#
# NB: you must be using IBC v3.14.0 or later to use this setting:
# earlier versions ignore it.
ReloginAfterSecondFactorAuthenticationTimeout=
# This setting is only relevant if
# ReloginAfterSecondFactorAuthenticationTimeout is set to 'yes',
# or if ExitAfterSecondFactorAuthenticationTimeout is set to 'yes'.
#
# It controls how long (in seconds) IBC waits for login to complete
# after the user acknowledges the second factor authentication
# alert at the IBKR Mobile app. If login has not completed after
# this time, IBC terminates.
# The default value is 60.
SecondFactorAuthenticationExitInterval=
# This setting specifies the timeout for second factor authentication
# imposed by IB. The value is in seconds. You should not change this
# setting unless you have reason to believe that IB has changed the
# timeout. The default value is 180.
SecondFactorAuthenticationTimeout=180
# DEPRECATED SETTING
# ------------------
#
# ExitAfterSecondFactorAuthenticationTimeout - THIS SETTING WILL BE
# REMOVED IN A FUTURE RELEASE. For IBC version 3.14.0 and later, see
# the notes for ReloginAfterSecondFactorAuthenticationTimeout above.
#
# For IBC versions earlier than 3.14.0: If you use the IBKR Mobile
# app for second factor authentication, and you fail to complete the
# process before the time limit imposed by IBKR, you can use this
# setting to tell IBC to exit: arrangements can then be made to
# automatically restart IBC in order to initiate the login sequence
# afresh. Otherwise, manual intervention at TWS's
# Second Factor Authentication dialog is needed to complete the
# login.
#
@ -132,29 +180,18 @@ SecondFactorDevice=
ExitAfterSecondFactorAuthenticationTimeout=no
# This setting is only relevant if
# ExitAfterSecondFactorAuthenticationTimeout is set to 'yes'.
#
# It controls how long (in seconds) IBC waits for login to complete
# after the user acknowledges the second factor authentication
# alert at the IBKR Mobile app. If login has not completed after
# this time, IBC terminates.
# The default value is 40.
SecondFactorAuthenticationExitInterval=
# Trading Mode
# ------------
#
# TWS 955 introduced a new Trading Mode combo box on its login
# dialog. This indicates whether the live account or the paper
# trading account corresponding to the supplied credentials is
# to be used. The allowed values are 'live' (the default) and
# 'paper'. For earlier versions of TWS this setting has no
# effect.
# This indicates whether the live account or the paper trading
# account corresponding to the supplied credentials is to be used.
# The allowed values are 'live' (the default) and 'paper'.
#
# If this is set to 'live', then the credentials for the live
# account must be supplied. If it is set to 'paper', then either
# the live or the paper-trading credentials may be supplied.
TradingMode=
TradingMode=paper
# Paper-trading Account Warning
@ -188,7 +225,7 @@ AcceptNonBrokerageAccountWarning=yes
#
# The default value is 60.
LoginDialogDisplayTimeout=20
LoginDialogDisplayTimeout=60
@ -217,7 +254,15 @@ LoginDialogDisplayTimeout=20
# but they are acceptable.
#
# The default is the current working directory when IBC is
# started.
# started, unless the TWS_SETTINGS_PATH setting in the relevant
# start script is set.
#
# If both this setting and TWS_SETTINGS_PATH are set, then this
# setting takes priority. Note that if they have different values,
# auto-restart will not work.
#
# NB: this setting is now DEPRECATED. You should use the
# TWS_SETTINGS_PATH setting in the relevant start script.
IbDir=/root/Jts
@ -286,13 +331,30 @@ ExistingSessionDetectedAction=primary
#
# If OverrideTwsApiPort is set to an integer, IBC changes the
# 'Socket port' in TWS's API configuration to that number shortly
# after startup. Leaving the setting blank will make no change to
# after startup (but note that for the FIX Gateway, this setting is
# actually stored in jts.ini rather than the Gateway's settings
# file). Leaving the setting blank will make no change to
# the current setting. This setting is only intended for use in
# certain specialized situations where the port number needs to
# be set dynamically at run-time, and for the FIX Gateway: most
# non-FIX users will never need it, so don't use it unless you know
# you need it.
OverrideTwsApiPort=4000
# Override TWS Master Client ID
# -----------------------------
#
# If OverrideTwsMasterClientID is set to an integer, IBC changes the
# 'Master Client ID' value in TWS's API configuration to that
# value shortly after startup. Leaving the setting blank will make
# no change to the current setting. This setting is only intended
# for use in certain specialized situations where the value needs to
# be set dynamically at run-time: most users will never need it,
# so don't use it unless you know you need it.
; OverrideTwsApiPort=4002
OverrideTwsMasterClientID=
# Read-only Login
@ -302,11 +364,13 @@ ExistingSessionDetectedAction=primary
# account security programme, the user will not be asked to perform
# the second factor authentication action, and login to TWS will
# occur automatically in read-only mode: in this mode, placing or
# managing orders is not allowed. If set to 'no', and the user is
# enrolled in IB's account security programme, the user must perform
# the relevant second factor authentication action to complete the
# login.
# managing orders is not allowed.
#
# If set to 'no', and the user is enrolled in IB's account security
# programme, the second factor authentication process is handled
# according to the Second Factor Authentication Settings described
# elsewhere in this file.
#
# If the user is not enrolled in IB's account security programme,
# this setting is ignored. The default is 'no'.
@ -326,7 +390,44 @@ ReadOnlyLogin=no
# set the relevant checkbox (this only needs to be done once) and
# not provide a value for this setting.
ReadOnlyApi=no
ReadOnlyApi=
# API Precautions
# ---------------
#
# These settings relate to the corresponding 'Precautions' checkboxes in the
# API section of the Global Configuration dialog.
#
# For all of these, the accepted values are:
# - 'yes' sets the checkbox
# - 'no' clears the checkbox
# - if not set, the existing TWS/Gateway configuration is unchanged
#
# NB: thess settings are really only supplied for the benefit of new TWS
# or Gateway instances that are being automatically installed and
# started without user intervention, or where user settings are not preserved
# between sessions (eg some Docker containers). Where a user is involved, they
# should use the Global Configuration to set the relevant checkboxes and not
# provide values for these settings.
BypassOrderPrecautions=
BypassBondWarning=
BypassNegativeYieldToWorstConfirmation=
BypassCalledBondWarning=
BypassSameActionPairTradeWarning=
BypassPriceBasedVolatilityRiskWarning=
BypassUSStocksMarketDataInSharesWarning=
BypassRedirectOrderWarning=
BypassNoOverfillProtectionPrecaution=
# Market data size for US stocks - lots or shares
@ -381,54 +482,145 @@ AcceptBidAskLastSizeDisplayUpdateNotification=accept
SendMarketDataInLotsForUSstocks=
# Trusted API Client IPs
# ----------------------
#
# NB: THIS SETTING IS ONLY RELEVANT FOR THE GATEWAY, AND ONLY WHEN FIX=yes.
# In all other cases it is ignored.
#
# This is a list of IP addresses separated by commas. API clients with IP
# addresses in this list are able to connect to the API without Gateway
# generating the 'Incoming connection' popup.
#
# Note that 127.0.0.1 is always permitted to connect, so do not include it
# in this setting.
TrustedTwsApiClientIPs=
# Reset Order ID Sequence
# -----------------------
#
# The setting resets the order id sequence for orders submitted via the API, so
# that the next invocation of the `NextValidId` API callback will return the
# value 1. The reset occurs when TWS starts.
#
# Note that order ids are reset for all API clients, except those that have
# outstanding (ie incomplete) orders: their order id sequence carries on as
# before.
#
# Valid values are 'yes', 'true', 'false' and 'no'. The default is 'no'.
ResetOrderIdsAtStart=
# This setting specifies IBC's action when TWS displays the dialog asking for
# confirmation of a request to reset the API order id sequence.
#
# Note that the Gateway never displays this dialog, so this setting is ignored
# for a Gateway session.
#
# Valid values consist of two strings separated by a solidus '/'. The first
# value specifies the action to take when the order id reset request resulted
# from setting ResetOrderIdsAtStart=yes. The second specifies the action to
# take when the order id reset request is a result of the user clicking the
# 'Reset API order ID sequence' button in the API configuration. Each value
# must be one of the following:
#
# 'confirm'
# order ids will be reset
#
# 'reject'
# order ids will not be reset
#
# 'ignore'
# IBC will ignore the dialog. The user must take action.
#
# The default setting is ignore/ignore
# Examples:
#
# 'confirm/reject' - confirm order id reset only if ResetOrderIdsAtStart=yes
# and reject any user-initiated requests
#
# 'ignore/confirm' - user must decide what to do if ResetOrderIdsAtStart=yes
# and confirm user-initiated requests
#
# 'reject/ignore' - reject order id reset if ResetOrderIdsAtStart=yes but
# allow user to handle user-initiated requests
ConfirmOrderIdReset=
# =============================================================================
# 4. TWS Auto-Closedown
# 4. TWS Auto-Logoff and Auto-Restart
# =============================================================================
#
# IMPORTANT NOTE: Starting with TWS 974, this setting no longer
# works properly, because IB have changed the way TWS handles its
# autologoff mechanism.
# TWS and Gateway insist on being restarted every day. Two alternative
# automatic options are offered:
#
# You should now configure the TWS autologoff time to something
# convenient for you, and restart IBC each day.
# - Auto-Logoff: at a specified time, TWS shuts down tidily, without
# restarting.
#
# Alternatively, discontinue use of IBC and use the auto-relogin
# mechanism within TWS 974 and later versions (note that the
# auto-relogin mechanism provided by IB is not available if you
# use IBC).
# - Auto-Restart: at a specified time, TWS shuts down and then restarts
# without the user having to re-autheticate.
#
# The normal way to configure the time at which this happens is via the Lock
# and Exit section of the Configuration dialog. Once this time has been
# configured in this way, the setting persists until the user changes it again.
#
# However, there are situations where there is no user available to do this
# configuration, or where there is no persistent storage (for example some
# Docker images). In such cases, the auto-restart or auto-logoff time can be
# set whenever IBC starts with the settings below.
#
# The value, if specified, must be a time in HH:MM AM/PM format, for example
# 08:00 AM or 10:00 PM. Note that there must be a single space between the
# two parts of this value; also that midnight is "12:00 AM" and midday is
# "12:00 PM".
#
# If no value is specified for either setting, the currently configured
# settings will apply. If a value is supplied for one setting, the other
# setting is cleared. If values are supplied for both settings, only the
# auto-restart time is set, and the auto-logoff time is cleared.
#
# Note that for a normal TWS/Gateway installation with persistent storage
# (for example on a desktop computer) the value will be persisted as if the
# user had set it via the configuration dialog.
#
# If you choose to auto-restart, you should take note of the considerations
# described at the link below. Note that where this information mentions
# 'manual authentication', restarting IBC will do the job (IBKR does not
# recognise the existence of IBC in its docuemntation).
#
# https://www.interactivebrokers.com/en/software/tws/twsguide.htm#usersguidebook/configuretws/auto_restart_info.htm
#
# If you use the "RESTART" command via the IBC command server, and IBC is
# running any version of the Gateway (or a version of TWS earlier than 1018),
# note that this will set the Auto-Restart time in Gateway/TWS's configuration
# dialog to the time at which the restart actually happens (which may be up to
# a minute after the RESTART command is issued). To prevent future auto-
# restarts at this time, you must make sure you have set AutoLogoffTime or
# AutoRestartTime to your desired value before running IBC. NB: this does not
# apply to TWS from version 1018 onwards.
# Set to yes or no (lower case).
#
# yes means allow TWS to shut down automatically at its
# specified shutdown time, which is set via the TWS
# configuration menu.
#
# no means TWS never shuts down automatically.
#
# NB: IB recommends that you do not keep TWS running
# continuously. If you set this setting to 'no', you may
# experience incorrect TWS operation.
#
# NB: the default for this setting is 'no'. Since this will
# only work properly with TWS versions earlier than 974, you
# should explicitly set this to 'yes' for version 974 and later.
IbAutoClosedown=yes
AutoLogoffTime=
AutoRestartTime=
# =============================================================================
# 5. TWS Tidy Closedown Time
# =============================================================================
#
# NB: starting with TWS 974 this is no longer a useful option
# because both TWS and Gateway now have the same auto-logoff
# mechanism, and IBC can no longer avoid this.
# Specifies a time at which TWS will close down tidily, with no restart.
#
# Note that giving this setting a value does not change TWS's
# auto-logoff in any way: any setting will be additional to the
# TWS auto-logoff.
# There is little reason to use this setting. It is similar to AutoLogoffTime,
# but can include a day-of-the-week, whereas AutoLogoffTime and AutoRestartTime
# apply every day. So for example you could use ClosedownAt in conjunction with
# AutoRestartTime to shut down TWS on Friday evenings after the markets
# close, without it running on Saturday as well.
#
# To tell IBC to tidily close TWS at a specified time every
# day, set this value to <hh:mm>, for example:
@ -487,7 +679,7 @@ AcceptIncomingConnectionAction=reject
# no means the dialog remains on display and must be
# handled by the user.
AllowBlindTrading=yes
AllowBlindTrading=no
# Save Settings on a Schedule
@ -530,6 +722,26 @@ AllowBlindTrading=yes
SaveTwsSettingsAt=
# Confirm Crypto Currency Orders Automatically
# --------------------------------------------
#
# When you place an order for a cryptocurrency contract, a dialog is displayed
# asking you to confirm that you want to place the order, and notifying you
# that you are placing an order to trade cryptocurrency with Paxos, a New York
# limited trust company, and not at Interactive Brokers.
#
# transmit means that the order will be placed automatically, and the
# dialog will then be closed
#
# cancel means that the order will not be placed, and the dialog will
# then be closed
#
# manual means that IBC will take no action and the user must deal
# with the dialog
ConfirmCryptoCurrencyOrders=transmit
# =============================================================================
# 7. Settings Specific to Indian Versions of TWS
@ -566,13 +778,17 @@ DismissNSEComplianceNotice=yes
#
# The port number that IBC listens on for commands
# such as "STOP". DO NOT set this to the port number
# used for TWS API connections. There is no good reason
# to change this setting unless the port is used by
# some other application (typically another instance of
# IBC). The default value is 0, which tells IBC not to
# start the command server
# used for TWS API connections.
#
# The convention is to use 7462 for this port,
# but it must be set to a different value from any other
# IBC instance that might run at the same time.
#
# The default value is 0, which tells IBC not to start
# the command server
#CommandServerPort=7462
CommandServerPort=0
# Permitted Command Sources
@ -583,19 +799,19 @@ DismissNSEComplianceNotice=yes
# IBC. Commands can always be sent from the
# same host as IBC is running on.
ControlFrom=127.0.0.1
ControlFrom=
# Address for Receiving Commands
# ------------------------------
#
# Specifies the IP address on which the Command Server
# is so listen. For a multi-homed host, this can be used
# is to listen. For a multi-homed host, this can be used
# to specify that connection requests are only to be
# accepted on the specified address. The default is to
# accept connection requests on all local addresses.
BindAddress=127.0.0.1
BindAddress=
# Command Prompt
@ -621,7 +837,7 @@ CommandPrompt=
# information is sent. The default is that such information
# is not sent.
SuppressInfoMessages=no
SuppressInfoMessages=yes
@ -651,10 +867,10 @@ SuppressInfoMessages=no
# The LogStructureScope setting indicates which windows are
# eligible for structure logging:
#
# - if set to 'known', only windows that IBC recognizes
# are eligible - these are windows that IBC has some
# interest in monitoring, usually to take some action
# on the user's behalf;
# - (default value) if set to 'known', only windows that
# IBC recognizes are eligible - these are windows that
# IBC has some interest in monitoring, usually to take
# some action on the user's behalf;
#
# - if set to 'unknown', only windows that IBC does not
# recognize are eligible. Most windows displayed by
@ -667,9 +883,8 @@ SuppressInfoMessages=no
# - if set to 'all', then every window displayed by TWS
# is eligible.
#
# The default value is 'known'.
LogStructureScope=all
LogStructureScope=known
# When to Log Window Structure
@ -682,13 +897,15 @@ LogStructureScope=all
# structure of an eligible window the first time it
# is encountered;
#
# - if set to 'openclose', the structure is logged every
# time an eligible window is opened or closed;
#
# - if set to 'activate', the structure is logged every
# time an eligible window is made active;
#
# - if set to 'never' or 'no' or 'false', structure
# information is never logged.
# - (default value) if set to 'never' or 'no' or 'false',
# structure information is never logged.
#
# The default value is 'never'.
LogStructureWhen=never
@ -708,4 +925,3 @@ LogStructureWhen=never
#LogComponents=

View File

@ -6,6 +6,11 @@
# - then manually ensuring all deps are converted over:
# - add this file to the repo and commit it
# -
# GROKin tips:
# - CLI eps are (ostensibly) added via an `entry_points.txt`:
# - https://packaging.python.org/en/latest/specifications/entry-points/#file-format
# - https://github.com/nix-community/poetry2nix/blob/master/editable.nix#L49
{
description = "piker: trading gear for hackers (pkged with poetry2nix)";
@ -101,7 +106,7 @@
# won't be needed - thanks @k900:
# https://github.com/nix-community/poetry2nix/pull/1257
pyqt5 = prev.pyqt5.override {
withWebkit = false;
# withWebkit = false;
preferWheel = true;
};
@ -124,55 +129,52 @@
# WHY!? -> output-attrs that `nix develop` scans for:
# https://nixos.org/manual/nix/stable/command-ref/new-cli/nix3-develop.html#flake-output-attributes
in {
packages = {
# piker = poetry2nix.legacyPackages.x86_64-linux.mkPoetryEditablePackage {
# editablePackageSources = { piker = ./piker; };
in
rec {
packages = {
# piker = poetry2nix.legacyPackages.x86_64-linux.mkPoetryEditablePackage {
# editablePackageSources = { piker = ./piker; };
piker = p2npkgs.mkPoetryApplication {
projectDir = projectDir;
piker = p2npkgs.mkPoetryApplication {
projectDir = projectDir;
# SEE ABOVE for auto-genned input set, override
# buncha deps with extras.. like `setuptools` mostly.
# TODO: maybe propose a patch to p2n to show that you
# can even do this in the edgecases docs?
overrides = ahot_overrides;
# SEE ABOVE for auto-genned input set, override
# buncha deps with extras.. like `setuptools` mostly.
# TODO: maybe propose a patch to p2n to show that you
# can even do this in the edgecases docs?
overrides = ahot_overrides;
# XXX: won't work on llvmlite..
# preferWheels = true;
};
# XXX: won't work on llvmlite..
# preferWheels = true;
};
};
devShells.default = pkgs.mkShell {
# packages = [ poetry2nix.packages.${system}.poetry ];
packages = [ poetry2nix.packages.x86_64-linux.poetry ];
inputsFrom = [ self.packages.x86_64-linux.piker ];
# devShells.default = pkgs.mkShell {
# projectDir = projectDir;
# python = "python3.10";
# overrides = ahot_overrides;
# inputsFrom = [ self.packages.x86_64-linux.piker ];
# packages = packages;
# # packages = [ poetry2nix.packages.${system}.poetry ];
# };
# TODO: boot xonsh inside the poetry virtualenv when
# defined via a custom entry point?
# NOTE XXX: apparently DON'T do these..?
# shellHook = "poetry run xonsh";
# shellHook = "poetry shell";
};
# TODO: grok the difference here..
# - avoid re-cloning git repos on every develop entry..
# - ideally allow hacking on the src code of some deps
# (tractor, pyqtgraph, tomlkit, etc.) WITHOUT having to
# re-install them every time a change is made.
# devShells.default = (p2npkgs.mkPoetryEnv {
# # let {
# # devEnv = p2npkgs.mkPoetryEnv {
# projectDir = projectDir;
# overrides = ahot_overrides;
# inputsFrom = [ self.packages.x86_64-linux.piker ];
# }).env.overrideAttrs (old: {
# buildInputs = [ packages.piker ];
# }
# );
}
# TODO: grok the difference here..
# - avoid re-cloning git repos on every develop entry..
# - ideally allow hacking on the src code of some deps
# (tractor, pyqtgraph, tomlkit, etc.) WITHOUT having to
# re-install them every time a change is made.
# - boot a usable xonsh inside the poetry virtualenv when
# defined via a custom entry point?
devShells.default = p2npkgs.mkPoetryEnv {
# env = p2npkgs.mkPoetryEnv {
projectDir = projectDir;
python = pkgs.python310;
overrides = ahot_overrides;
editablePackageSources = packages;
# piker = "./";
# tractor = "../tractor/";
# }; # wut?
};
}
); # end of .outputs scope
}

View File

@ -327,7 +327,11 @@ class MktPair(Struct, frozen=True):
) -> dict:
d = super().to_dict(**kwargs)
d['src'] = self.src.to_dict(**kwargs)
d['dst'] = self.dst.to_dict(**kwargs)
if not isinstance(self.dst, str):
d['dst'] = self.dst.to_dict(**kwargs)
else:
d['dst'] = str(self.dst)
d['price_tick'] = str(self.price_tick)
d['size_tick'] = str(self.size_tick)
@ -349,11 +353,16 @@ class MktPair(Struct, frozen=True):
Constructor for a received msg-dict normally received over IPC.
'''
dst_asset_msg = msg.pop('dst')
dst = Asset.from_msg(dst_asset_msg) # .copy()
if not isinstance(
dst_asset_msg := msg.pop('dst'),
str,
):
dst: Asset = Asset.from_msg(dst_asset_msg) # .copy()
else:
dst: str = dst_asset_msg
src_asset_msg = msg.pop('src')
src = Asset.from_msg(src_asset_msg) # .copy()
src_asset_msg: dict = msg.pop('src')
src: Asset = Asset.from_msg(src_asset_msg) # .copy()
# XXX NOTE: ``msgspec`` can encode `Decimal` but it doesn't
# decide to it by default since we aren't spec-cing these

View File

@ -50,7 +50,7 @@ __brokers__: list[str] = [
'binance',
'ib',
'kraken',
'kucoin'
'kucoin',
# broken but used to work
# 'questrade',
@ -71,7 +71,7 @@ def get_brokermod(brokername: str) -> ModuleType:
Return the imported broker module by name.
'''
module = import_module('.' + brokername, 'piker.brokers')
module: ModuleType = import_module('.' + brokername, 'piker.brokers')
# we only allow monkeying because it's for internal keying
module.name = module.__name__.split('.')[-1]
return module

View File

@ -18,10 +18,11 @@
Handy cross-broker utils.
"""
from __future__ import annotations
from functools import partial
import json
import asks
import httpx
import logging
from ..log import (
@ -50,6 +51,7 @@ class SymbolNotFound(BrokerError):
"Symbol not found by broker search"
# TODO: these should probably be moved to `.tsp/.data`?
class NoData(BrokerError):
'''
Symbol data not permitted or no data
@ -59,14 +61,15 @@ class NoData(BrokerError):
def __init__(
self,
*args,
frame_size: int = 1000,
info: dict|None = None,
) -> None:
super().__init__(*args)
self.info: dict|None = info
# when raised, machinery can check if the backend
# set a "frame size" for doing datetime calcs.
self.frame_size: int = 1000
# self.frame_size: int = 1000
class DataUnavailable(BrokerError):
@ -88,16 +91,18 @@ class DataThrottle(BrokerError):
def resproc(
resp: asks.response_objects.Response,
resp: httpx.Response,
log: logging.Logger,
return_json: bool = True,
log_resp: bool = False,
) -> asks.response_objects.Response:
"""Process response and return its json content.
) -> httpx.Response:
'''
Process response and return its json content.
Raise the appropriate error on non-200 OK responses.
"""
'''
if not resp.status_code == 200:
raise BrokerError(resp.body)
try:

View File

@ -1,8 +1,8 @@
# piker: trading gear for hackers
# Copyright (C)
# Guillermo Rodriguez (aka ze jefe)
# Tyler Goodlet
# (in stewardship for pikers)
# Guillermo Rodriguez (aka ze jefe)
# Tyler Goodlet
# (in stewardship for pikers)
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU Affero General Public License as published by
@ -25,14 +25,13 @@ from __future__ import annotations
from collections import ChainMap
from contextlib import (
asynccontextmanager as acm,
AsyncExitStack,
)
from datetime import datetime
from pprint import pformat
from typing import (
Any,
Callable,
Hashable,
Sequence,
Type,
)
import hmac
@ -43,8 +42,7 @@ import trio
from pendulum import (
now,
)
import asks
from rapidfuzz import process as fuzzy
import httpx
import numpy as np
from piker import config
@ -54,6 +52,7 @@ from piker.clearing._messages import (
from piker.accounting import (
Asset,
digits_to_dec,
MktPair,
)
from piker.types import Struct
from piker.data import (
@ -69,7 +68,6 @@ from .venues import (
PAIRTYPES,
Pair,
MarketType,
_spot_url,
_futes_url,
_testnet_futes_url,
@ -79,16 +77,18 @@ from .venues import (
log = get_logger('piker.brokers.binance')
def get_config() -> dict:
def get_config() -> dict[str, Any]:
conf: dict
path: Path
conf, path = config.load(touch_if_dne=True)
section = conf.get('binance')
conf, path = config.load(
conf_name='brokers',
touch_if_dne=True,
)
section: dict = conf.get('binance')
if not section:
log.warning(f'No config section found for binance in {path}')
log.warning(
f'No config section found for binance in {path}'
)
return {}
return section
@ -144,7 +144,7 @@ def binance_timestamp(
class Client:
'''
Async ReST API client using ``trio`` + ``asks`` B)
Async ReST API client using `trio` + `httpx` B)
Supports all of the spot, margin and futures endpoints depending
on method.
@ -153,10 +153,17 @@ class Client:
def __init__(
self,
venue_sessions: dict[
str, # venue key
tuple[httpx.AsyncClient, str] # session, eps path
],
conf: dict[str, Any],
# TODO: change this to `Client.[mkt_]venue: MarketType`?
mkt_mode: MarketType = 'spot',
) -> None:
self.conf = conf
# build out pair info tables for each market type
# and wrap in a chain-map view for search / query.
self._spot_pairs: dict[str, Pair] = {} # spot info table
@ -183,44 +190,13 @@ class Client:
# market symbols for use by search. See `.exch_info()`.
self._pairs: ChainMap[str, Pair] = ChainMap()
# spot EPs sesh
self._sesh = asks.Session(connections=4)
self._sesh.base_location: str = _spot_url
# spot testnet
self._test_sesh: asks.Session = asks.Session(connections=4)
self._test_sesh.base_location: str = _testnet_spot_url
# margin and extended spot endpoints session.
self._sapi_sesh = asks.Session(connections=4)
self._sapi_sesh.base_location: str = _spot_url
# futes EPs sesh
self._fapi_sesh = asks.Session(connections=4)
self._fapi_sesh.base_location: str = _futes_url
# futes testnet
self._test_fapi_sesh: asks.Session = asks.Session(connections=4)
self._test_fapi_sesh.base_location: str = _testnet_futes_url
# global client "venue selection" mode.
# set this when you want to switch venues and not have to
# specify the venue for the next request.
self.mkt_mode: MarketType = mkt_mode
# per 8
self.venue_sesh: dict[
str, # venue key
tuple[asks.Session, str] # session, eps path
] = {
'spot': (self._sesh, '/api/v3/'),
'spot_testnet': (self._test_sesh, '/fapi/v1/'),
'margin': (self._sapi_sesh, '/sapi/v1/'),
'usdtm_futes': (self._fapi_sesh, '/fapi/v1/'),
'usdtm_futes_testnet': (self._test_fapi_sesh, '/fapi/v1/'),
# 'futes_coin': self._dapi, # TODO
}
# per-mkt-venue API client table
self.venue_sesh = venue_sessions
# lookup for going from `.mkt_mode: str` to the config
# subsection `key: str`
@ -235,40 +211,6 @@ class Client:
'futes': ['usdtm_futes'],
}
# for creating API keys see,
# https://www.binance.com/en/support/faq/how-to-create-api-keys-on-binance-360002502072
self.conf: dict = get_config()
for key, subconf in self.conf.items():
if api_key := subconf.get('api_key', ''):
venue_keys: list[str] = self.confkey2venuekeys[key]
venue_key: str
sesh: asks.Session
for venue_key in venue_keys:
sesh, _ = self.venue_sesh[venue_key]
api_key_header: dict = {
# taken from official:
# https://github.com/binance/binance-futures-connector-python/blob/main/binance/api.py#L47
"Content-Type": "application/json;charset=utf-8",
# TODO: prolly should just always query and copy
# in the real latest ver?
"User-Agent": "binance-connector/6.1.6smbz6",
"X-MBX-APIKEY": api_key,
}
sesh.headers.update(api_key_header)
# if `.use_tesnet = true` in the config then
# also add headers for the testnet session which
# will be used for all order control
if subconf.get('use_testnet', False):
testnet_sesh, _ = self.venue_sesh[
venue_key + '_testnet'
]
testnet_sesh.headers.update(api_key_header)
def _mk_sig(
self,
data: dict,
@ -287,7 +229,6 @@ class Client:
'to define the creds for auth-ed endpoints!?'
)
# XXX: Info on security and authentification
# https://binance-docs.github.io/apidocs/#endpoint-security-type
if not (api_secret := subconf.get('api_secret')):
@ -316,7 +257,7 @@ class Client:
params: dict,
method: str = 'get',
venue: str | None = None, # if None use `.mkt_mode` state
venue: str|None = None, # if None use `.mkt_mode` state
signed: bool = False,
allow_testnet: bool = False,
@ -327,8 +268,9 @@ class Client:
- /fapi/v3/ USD-M FUTURES, or
- /api/v3/ SPOT/MARGIN
account/market endpoint request depending on either passed in `venue: str`
or the current setting `.mkt_mode: str` setting, default `'spot'`.
account/market endpoint request depending on either passed in
`venue: str` or the current setting `.mkt_mode: str` setting,
default `'spot'`.
Docs per venue API:
@ -357,9 +299,6 @@ class Client:
venue=venue_key,
)
sesh: asks.Session
path: str
# Check if we're configured to route order requests to the
# venue equivalent's testnet.
use_testnet: bool = False
@ -384,11 +323,12 @@ class Client:
# ctl machinery B)
venue_key += '_testnet'
sesh, path = self.venue_sesh[venue_key]
meth: Callable = getattr(sesh, method)
client: httpx.AsyncClient
path: str
client, path = self.venue_sesh[venue_key]
meth: Callable = getattr(client, method)
resp = await meth(
path=path + endpoint,
url=path + endpoint,
params=params,
timeout=float('inf'),
)
@ -430,7 +370,15 @@ class Client:
item['filters'] = filters
pair_type: Type = PAIRTYPES[venue]
pair: Pair = pair_type(**item)
try:
pair: Pair = pair_type(**item)
except Exception as e:
e.add_note(
"\nDon't panic, prolly stupid binance changed their symbology schema again..\n"
'Check out their API docs here:\n\n'
'https://binance-docs.github.io/apidocs/spot/en/#exchange-information'
)
raise
pair_table[pair.symbol.upper()] = pair
# update an additional top-level-cross-venue-table
@ -525,7 +473,9 @@ class Client:
'''
pair_table: dict[str, Pair] = self._venue2pairs[
venue or self.mkt_mode
venue
or
self.mkt_mode
]
if (
expiry
@ -544,9 +494,9 @@ class Client:
venues: list[str] = [venue]
# batch per-venue download of all exchange infos
async with trio.open_nursery() as rn:
async with trio.open_nursery() as tn:
for ven in venues:
rn.start_soon(
tn.start_soon(
self._cache_pairs,
ven,
)
@ -599,11 +549,11 @@ class Client:
) -> dict[str, Any]:
fq_pairs: dict = await self.exch_info()
fq_pairs: dict[str, Pair] = await self.exch_info()
# TODO: cache this list like we were in
# `open_symbol_search()`?
keys: list[str] = list(fq_pairs)
# keys: list[str] = list(fq_pairs)
return match_from_pairs(
pairs=fq_pairs,
@ -611,9 +561,20 @@ class Client:
score_cutoff=50,
)
def pair2venuekey(
self,
pair: Pair,
) -> str:
return {
'USDTM': 'usdtm_futes',
'SPOT': 'spot',
# 'COINM': 'coin_futes',
# ^-TODO-^ bc someone might want it..?
}[pair.venue]
async def bars(
self,
symbol: str,
mkt: MktPair,
start_dt: datetime | None = None,
end_dt: datetime | None = None,
@ -643,16 +604,20 @@ class Client:
start_time = binance_timestamp(start_dt)
end_time = binance_timestamp(end_dt)
bs_pair: Pair = self._pairs[mkt.bs_fqme.upper()]
# https://binance-docs.github.io/apidocs/spot/en/#kline-candlestick-data
bars = await self._api(
'klines',
params={
'symbol': symbol.upper(),
# NOTE: always query using their native symbology!
'symbol': mkt.bs_mktid.upper(),
'interval': '1m',
'startTime': start_time,
'endTime': end_time,
'limit': limit
},
venue=self.pair2venuekey(bs_pair),
allow_testnet=False,
)
new_bars: list[tuple] = []
@ -969,17 +934,148 @@ class Client:
await self.close_listen_key(key)
_venue_urls: dict[str, str] = {
'spot': (
_spot_url,
'/api/v3/',
),
'spot_testnet': (
_testnet_spot_url,
'/fapi/v1/'
),
# margin and extended spot endpoints session.
# TODO: did this ever get implemented fully?
# 'margin': (
# _spot_url,
# '/sapi/v1/'
# ),
'usdtm_futes': (
_futes_url,
'/fapi/v1/',
),
'usdtm_futes_testnet': (
_testnet_futes_url,
'/fapi/v1/',
),
# TODO: for anyone who actually needs it ;P
# 'coin_futes': ()
}
def init_api_keys(
client: Client,
conf: dict[str, Any],
) -> None:
'''
Set up per-venue API keys each http client according to the user's
`brokers.conf`.
For ex, to use spot-testnet and live usdt futures APIs:
```toml
[binance]
# spot test net
spot.use_testnet = true
spot.api_key = '<spot_api_key_from_binance_account>'
spot.api_secret = '<spot_api_key_password>'
# futes live
futes.use_testnet = false
accounts.usdtm = 'futes'
futes.api_key = '<futes_api_key_from_binance>'
futes.api_secret = '<futes_api_key_password>''
# if uncommented will use the built-in paper engine and not
# connect to `binance` API servers for order ctl.
# accounts.paper = 'paper'
```
'''
for key, subconf in conf.items():
if api_key := subconf.get('api_key', ''):
venue_keys: list[str] = client.confkey2venuekeys[key]
venue_key: str
client: httpx.AsyncClient
for venue_key in venue_keys:
client, _ = client.venue_sesh[venue_key]
api_key_header: dict = {
# taken from official:
# https://github.com/binance/binance-futures-connector-python/blob/main/binance/api.py#L47
"Content-Type": "application/json;charset=utf-8",
# TODO: prolly should just always query and copy
# in the real latest ver?
"User-Agent": "binance-connector/6.1.6smbz6",
"X-MBX-APIKEY": api_key,
}
client.headers.update(api_key_header)
# if `.use_tesnet = true` in the config then
# also add headers for the testnet session which
# will be used for all order control
if subconf.get('use_testnet', False):
testnet_sesh, _ = client.venue_sesh[
venue_key + '_testnet'
]
testnet_sesh.headers.update(api_key_header)
@acm
async def get_client() -> Client:
async def get_client(
mkt_mode: MarketType = 'spot',
) -> Client:
'''
Construct an single `piker` client which composes multiple underlying venue
specific API clients both for live and test networks.
client = Client()
await client.exch_info()
log.info(
f'{client} in {client.mkt_mode} mode: caching exchange infos..\n'
'Cached multi-market pairs:\n'
f'spot: {len(client._spot_pairs)}\n'
f'usdtm_futes: {len(client._ufutes_pairs)}\n'
f'Total: {len(client._pairs)}\n'
)
'''
venue_sessions: dict[
str, # venue key
tuple[httpx.AsyncClient, str] # session, eps path
] = {}
async with AsyncExitStack() as client_stack:
for name, (base_url, path) in _venue_urls.items():
api: httpx.AsyncClient = await client_stack.enter_async_context(
httpx.AsyncClient(
base_url=base_url,
# headers={},
yield client
# TODO: is there a way to numerate this?
# https://www.python-httpx.org/advanced/clients/#why-use-a-client
# connections=4
)
)
venue_sessions[name] = (
api,
path,
)
conf: dict[str, Any] = get_config()
# for creating API keys see,
# https://www.binance.com/en/support/faq/how-to-create-api-keys-on-binance-360002502072
client = Client(
venue_sessions=venue_sessions,
conf=conf,
mkt_mode=mkt_mode,
)
init_api_keys(
client=client,
conf=conf,
)
fq_pairs: dict[str, Pair] = await client.exch_info()
assert fq_pairs
log.info(
f'Loaded multi-venue `Client` in mkt_mode={client.mkt_mode!r}\n\n'
f'Symbology Summary:\n'
f'------ - ------\n'
f'spot: {len(client._spot_pairs)}\n'
f'usdtm_futes: {len(client._ufutes_pairs)}\n'
'------ - ------\n'
f'total: {len(client._pairs)}\n'
)
yield client

View File

@ -264,15 +264,20 @@ async def open_trade_dialog(
# do a open_symcache() call.. though maybe we can hide
# this in a new async version of open_account()?
async with open_cached_client('binance') as client:
subconf: dict = client.conf[venue_name]
use_testnet = subconf.get('use_testnet', False)
subconf: dict|None = client.conf.get(venue_name)
# XXX: if no futes.api_key or spot.api_key has been set we
# always fall back to the paper engine!
if not subconf.get('api_key'):
if (
not subconf
or
not subconf.get('api_key')
):
await ctx.started('paper')
return
use_testnet: bool = subconf.get('use_testnet', False)
async with (
open_cached_client('binance') as client,
):

View File

@ -42,12 +42,12 @@ from trio_typing import TaskStatus
from pendulum import (
from_timestamp,
)
from rapidfuzz import process as fuzzy
import numpy as np
import tractor
from piker.brokers import (
open_cached_client,
NoData,
)
from piker._cacheables import (
async_lifo_cache,
@ -110,6 +110,7 @@ class AggTrade(Struct, frozen=True):
async def stream_messages(
ws: NoBsWs,
) -> AsyncGenerator[NoBsWs, dict]:
# TODO: match syntax here!
@ -220,6 +221,8 @@ def make_sub(pairs: list[str], sub_name: str, uid: int) -> dict[str, str]:
}
# TODO, why aren't frame resp `log.info()`s showing in upstream
# code?!
@acm
async def open_history_client(
mkt: MktPair,
@ -252,24 +255,30 @@ async def open_history_client(
else:
client.mkt_mode = 'spot'
# NOTE: always query using their native symbology!
mktid: str = mkt.bs_mktid
array = await client.bars(
mktid,
array: np.ndarray = await client.bars(
mkt=mkt,
start_dt=start_dt,
end_dt=end_dt,
)
if array.size == 0:
raise NoData(
f'No frame for {start_dt} -> {end_dt}\n'
)
times = array['time']
if (
end_dt is None
):
inow = round(time.time())
if not times.any():
raise ValueError(
'Bad frame with null-times?\n\n'
f'{times}'
)
if end_dt is None:
inow: int = round(time.time())
if (inow - times[-1]) > 60:
await tractor.pause()
start_dt = from_timestamp(times[0])
end_dt = from_timestamp(times[-1])
return array, start_dt, end_dt
yield get_ohlc, {'erlangs': 3, 'rate': 3}
@ -456,6 +465,8 @@ async def stream_quotes(
):
init_msgs: list[FeedInit] = []
for sym in symbols:
mkt: MktPair
pair: Pair
mkt, pair = await get_mkt_info(sym)
# build out init msgs according to latest spec
@ -504,7 +515,6 @@ async def stream_quotes(
# start streaming
async for typ, quote in msg_gen:
# period = time.time() - last
# hz = 1/period if period else float('inf')
# if hz > 60:
@ -540,7 +550,7 @@ async def open_symbol_search(
)
# repack in fqme-keyed table
byfqme: dict[start, Pair] = {}
byfqme: dict[str, Pair] = {}
for pair in pairs.values():
byfqme[pair.bs_fqme] = pair

View File

@ -137,10 +137,12 @@ class SpotPair(Pair, frozen=True):
quoteOrderQtyMarketAllowed: bool
isSpotTradingAllowed: bool
isMarginTradingAllowed: bool
otoAllowed: bool
defaultSelfTradePreventionMode: str
allowedSelfTradePreventionModes: list[str]
permissions: list[str]
permissionSets: list[list[str]]
# NOTE: see `.data._symcache.SymbologyCache.load()` for why
ns_path: str = 'piker.brokers.binance:SpotPair'
@ -179,7 +181,6 @@ class FutesPair(Pair):
quoteAsset: str # 'USDT',
quotePrecision: int # 8,
requiredMarginPercent: float # '5.0000',
settlePlan: int # 0,
timeInForce: list[str] # ['GTC', 'IOC', 'FOK', 'GTX'],
triggerProtect: float # '0.0500',
underlyingSubType: list[str] # ['PoW'],
@ -201,6 +202,7 @@ class FutesPair(Pair):
match contype:
case (
'CURRENT_QUARTER'
| 'CURRENT_QUARTER DELIVERING'
| 'NEXT_QUARTER' # su madre binance..
):
pair, _, expiry = symbol.partition('_')
@ -220,6 +222,10 @@ class FutesPair(Pair):
case ['DEFI']:
return 'PERP'
# wow, just wow you binance guys suck..
if self.status == 'PENDING_TRADING':
return 'PENDING'
# XXX: yeah no clue then..
raise ValueError(
f'Bad .expiry token match: {contype} for {symbol}'
@ -237,6 +243,7 @@ class FutesPair(Pair):
case (
'CURRENT_QUARTER'
| 'CURRENT_QUARTER DELIVERING'
| 'NEXT_QUARTER' # su madre binance..
):
_, _, expiry = symbol.partition('_')
@ -249,7 +256,10 @@ class FutesPair(Pair):
return f'{margin}M'
match subtype:
case ['DEFI']:
case (
['DEFI']
| ['USDC']
):
return f'{subtype[0]}'
# XXX: yeah no clue then..

View File

@ -482,20 +482,22 @@ def search(
):
return await func()
quotes = trio.run(
main,
partial(
core.symbol_search,
brokermods,
pattern,
),
)
from piker.toolz import open_crash_handler
with open_crash_handler():
quotes = trio.run(
main,
partial(
core.symbol_search,
brokermods,
pattern,
),
)
if not quotes:
log.error(f"No matches could be found for {pattern}?")
return
if not quotes:
log.error(f"No matches could be found for {pattern}?")
return
click.echo(colorize_json(quotes))
click.echo(colorize_json(quotes))
@cli.command()
@ -504,9 +506,11 @@ def search(
@click.option('--delete', '-d', flag_value=True, help='Delete section')
@click.pass_obj
def brokercfg(config, section, value, delete):
"""If invoked with no arguments, open an editor to edit broker configs file
or get / update an individual section.
"""
'''
If invoked with no arguments, open an editor to edit broker
configs file or get / update an individual section.
'''
from .. import config
if section:

View File

@ -145,7 +145,11 @@ async def symbol_search(
async with maybe_spawn_brokerd(
mod.name,
infect_asyncio=getattr(mod, '_infect_asyncio', False),
infect_asyncio=getattr(
mod,
'_infect_asyncio',
False,
),
) as portal:
results.append((

View File

@ -100,7 +100,7 @@ async def data_reset_hack(
log.warning(
no_setup_msg
+
f'REQUIRES A `vnc_addrs: array` ENTRY'
'REQUIRES A `vnc_addrs: array` ENTRY'
)
vnc_host, vnc_port = vnc_sockaddr.get(
@ -259,7 +259,7 @@ def i3ipc_xdotool_manual_click_hack() -> None:
timeout=timeout,
)
# re-activate and focus original window
# re-activate and focus original window
subprocess.call([
'xdotool',
'windowactivate', '--sync', str(orig_win_id),

View File

@ -41,7 +41,6 @@ import time
from typing import (
Any,
Callable,
Union,
)
from types import SimpleNamespace
@ -49,7 +48,12 @@ from bidict import bidict
import trio
import tractor
from tractor import to_asyncio
import pendulum
from pendulum import (
from_timestamp,
DateTime,
Duration,
duration as mk_duration,
)
from eventkit import Event
from ib_insync import (
client as ib_client,
@ -221,16 +225,20 @@ def bars_to_np(bars: list) -> np.ndarray:
# https://interactivebrokers.github.io/tws-api/historical_limitations.html#non-available_hd
_samplings: dict[int, tuple[str, str]] = {
1: (
# ib strs
'1 secs',
f'{int(2e3)} S',
pendulum.duration(seconds=2e3),
mk_duration(seconds=2e3),
),
# TODO: benchmark >1 D duration on query to see if
# throughput can be made faster during backfilling.
60: (
# ib strs
'1 min',
'1 D',
pendulum.duration(days=1),
'2 D',
mk_duration(days=2),
),
}
@ -279,9 +287,31 @@ class Client:
self.conf = config
# NOTE: the ib.client here is "throttled" to 45 rps by default
self.ib = ib
self.ib: IB = ib
self.ib.RaiseRequestErrors: bool = True
# self._acnt_names: set[str] = {}
self._acnt_names: list[str] = []
@property
def acnts(self) -> list[str]:
# return list(self._acnt_names)
return self._acnt_names
def __repr__(self) -> str:
return (
f'<{type(self).__name__}('
f'ib={self.ib} '
f'acnts={self.acnts}'
# TODO: we need to mask out acnt-#s and other private
# infos if we're going to console this!
# f' |_.conf:\n'
# f' {pformat(self.conf)}\n'
')>'
)
async def get_fills(self) -> list[Fill]:
'''
Return list of rents `Fills` from trading session.
@ -303,8 +333,8 @@ class Client:
fqme: str,
# EST in ISO 8601 format is required... below is EPOCH
start_dt: Union[datetime, str] = "1970-01-01T00:00:00.000000-05:00",
end_dt: Union[datetime, str] = "",
start_dt: datetime | str = "1970-01-01T00:00:00.000000-05:00",
end_dt: datetime | str = "",
# ohlc sample period in seconds
sample_period_s: int = 1,
@ -315,7 +345,7 @@ class Client:
**kwargs,
) -> tuple[BarDataList, np.ndarray, pendulum.Duration]:
) -> tuple[BarDataList, np.ndarray, Duration]:
'''
Retreive OHLCV bars for a fqme over a range to the present.
@ -324,14 +354,19 @@ class Client:
# https://interactivebrokers.github.io/tws-api/historical_data.html
bars_kwargs = {'whatToShow': 'TRADES'}
bars_kwargs.update(kwargs)
bar_size, duration, dt_duration = _samplings[sample_period_s]
(
bar_size,
ib_duration_str,
default_dt_duration,
) = _samplings[sample_period_s]
global _enters
log.info(
f"REQUESTING {duration}'s worth {bar_size} BARS\n"
f'{_enters} @ end={end_dt}"'
dt_duration: Duration = (
duration
or default_dt_duration
)
# TODO: maybe remove all this?
global _enters
if not end_dt:
end_dt = ''
@ -340,8 +375,8 @@ class Client:
contract: Contract = (await self.find_contracts(fqme))[0]
bars_kwargs.update(getattr(contract, 'bars_kwargs', {}))
bars = await self.ib.reqHistoricalDataAsync(
contract,
kwargs: dict[str, Any] = dict(
contract=contract,
endDateTime=end_dt,
formatDate=2,
@ -353,7 +388,7 @@ class Client:
# time history length values format:
# ``durationStr=integer{SPACE}unit (S|D|W|M|Y)``
durationStr=duration,
durationStr=ib_duration_str,
# always use extended hours
useRTH=False,
@ -363,50 +398,122 @@ class Client:
# whatToShow='MIDPOINT',
# whatToShow='TRADES',
)
bars = await self.ib.reqHistoricalDataAsync(
**kwargs,
)
query_info: str = (
f'REQUESTING IB history BARS\n'
f' ------ - ------\n'
f'dt_duration: {dt_duration}\n'
f'ib_duration_str: {ib_duration_str}\n'
f'bar_size: {bar_size}\n'
f'fqme: {fqme}\n'
f'actor-global _enters: {_enters}\n'
f'kwargs: {pformat(kwargs)}\n'
)
# tail case if no history for range or none prior.
# NOTE: there's actually 3 cases here to handle (and
# this should be read alongside the implementation of
# `.reqHistoricalDataAsync()`):
# - a timeout occurred in which case insync internals return
# an empty list thing with bars.clear()...
# - no data exists for the period likely due to
# a weekend, holiday or other non-trading period prior to
# ``end_dt`` which exceeds the ``duration``,
# - LITERALLY this is the start of the mkt's history!
if not bars:
# NOTE: there's 2 cases here to handle (and this should be
# read alongside the implementation of
# ``.reqHistoricalDataAsync()``):
# - no data is returned for the period likely due to
# a weekend, holiday or other non-trading period prior to
# ``end_dt`` which exceeds the ``duration``,
# - a timeout occurred in which case insync internals return
# an empty list thing with bars.clear()...
return [], np.empty(0), dt_duration
# TODO: figure out wut's going on here.
# TODO: is this handy, a sync requester for tinkering
# with empty frame cases?
# def get_hist():
# return self.ib.reqHistoricalData(**kwargs)
# import pdbp
# pdbp.set_trace()
log.critical(
'STUPID IB SAYS NO HISTORY\n\n'
+ query_info
)
# TODO: we could maybe raise ``NoData`` instead if we
# rewrite the method in the first case? right now there's no
# way to detect a timeout.
# rewrite the method in the first case?
# right now there's no way to detect a timeout..
return [], np.empty(0), dt_duration
# NOTE XXX: ensure minimum duration in bars B)
# => we recursively call this method until we get at least
# as many bars such that they sum in aggregate to the the
# desired total time (duration) at most.
elif (
end_dt
and (
(len(bars) * sample_period_s) < dt_duration.in_seconds()
)
log.info(query_info)
# NOTE XXX: ensure minimum duration in bars?
# => recursively call this method until we get at least as
# many bars such that they sum in aggregate to the the
# desired total time (duration) at most.
# - if you query over a gap and get no data
# that may short circuit the history
if (
# XXX XXX XXX
# => WHY DID WE EVEN NEED THIS ORIGINALLY!? <=
# XXX XXX XXX
False
and end_dt
):
log.warning(
f'Recursing to get more bars from {end_dt} for {dt_duration}'
)
end_dt -= dt_duration
(
r_bars,
r_arr,
r_duration,
) = await self.bars(
fqme,
start_dt=start_dt,
end_dt=end_dt,
)
r_bars.extend(bars)
bars = r_bars
nparr: np.ndarray = bars_to_np(bars)
times: np.ndarray = nparr['time']
first: float = times[0]
tdiff: float = times[-1] - first
nparr = bars_to_np(bars)
return bars, nparr, dt_duration
if (
# len(bars) * sample_period_s) < dt_duration.in_seconds()
tdiff < dt_duration.in_seconds()
# and False
):
end_dt: DateTime = from_timestamp(first)
log.warning(
f'Frame result was shorter then {dt_duration}!?\n'
'Recursing for more bars:\n'
f'end_dt: {end_dt}\n'
f'dt_duration: {dt_duration}\n'
)
(
r_bars,
r_arr,
r_duration,
) = await self.bars(
fqme,
start_dt=start_dt,
end_dt=end_dt,
sample_period_s=sample_period_s,
# TODO: make a table for Duration to
# the ib str values in order to use this?
# duration=duration,
)
r_bars.extend(bars)
bars = r_bars
nparr: np.ndarray = bars_to_np(bars)
# timestep should always be at least as large as the
# period step.
tdiff: np.ndarray = np.diff(nparr['time'])
to_short: np.ndarray = tdiff < sample_period_s
if (to_short).any():
# raise ValueError(
log.error(
f'OHLC frame for {sample_period_s} has {to_short.size} '
'time steps which are shorter then expected?!"'
)
# OOF: this will break teardown?
# -[ ] check if it's greenback
# -[ ] why tf are we leaking shm entries..
# -[ ] make a test on the debugging asyncio testing
# branch..
# breakpoint()
return (
bars,
nparr,
dt_duration,
)
async def con_deats(
self,
@ -750,6 +857,23 @@ class Client:
return contracts
async def maybe_get_head_time(
self,
fqme: str,
) -> datetime | None:
'''
Return the first datetime stamp for `fqme` or `None`
on request failure.
'''
try:
head_dt: datetime = await self.get_head_time(fqme=fqme)
return head_dt
except RequestError:
log.warning(f'Unable to get head time: {fqme} ?')
return None
async def get_head_time(
self,
fqme: str,
@ -790,6 +914,7 @@ class Client:
self,
contract: Contract,
timeout: float = 1,
tries: int = 100,
raise_on_timeout: bool = False,
) -> Ticker | None:
@ -804,34 +929,45 @@ class Client:
ready: ticker.TickerUpdateEvent = ticker.updateEvent
# ensure a last price gets filled in before we deliver quote
timeouterr: Exception | None = None
warnset: bool = False
for _ in range(100):
if isnan(ticker.last):
for _ in range(tries):
# wait for a first update(Event)
# wait for a first update(Event) indicatingn a
# live quote feed.
if isnan(ticker.last):
try:
tkr = await asyncio.wait_for(
ready,
timeout=timeout,
)
except TimeoutError:
if raise_on_timeout:
raise
return None
if tkr:
break
except TimeoutError as err:
timeouterr = err
await asyncio.sleep(0.01)
continue
if tkr:
break
else:
if not warnset:
log.warning(
f'Quote for {contract} timed out: market is closed?'
f'Quote req timed out..maybe venue is closed?\n'
f'{asdict(contract)}'
)
warnset = True
else:
log.info(f'Got first quote for {contract}')
log.info(
'Got first quote for contract\n'
f'{contract}\n'
)
break
else:
if timeouterr and raise_on_timeout:
import pdbp
pdbp.set_trace()
raise timeouterr
if not warnset:
log.warning(
f'Contract {contract} is not returning a quote '
@ -839,6 +975,8 @@ class Client:
)
warnset = True
return None
return ticker
# async to be consistent for the client proxy, and cuz why not.
@ -886,8 +1024,12 @@ class Client:
outsideRth=True,
optOutSmartRouting=True,
# TODO: need to understand this setting better as
# it pertains to shit ass mms..
routeMarketableToBbo=True,
designatedLocation='SMART',
# TODO: make all orders GTC?
# https://interactivebrokers.github.io/tws-api/classIBApi_1_1Order.html#a95539081751afb9980f4c6bd1655a6ba
# goodTillDate=f"yyyyMMdd-HH:mm:ss",
@ -1000,7 +1142,9 @@ _scan_ignore: set[tuple[str, int]] = set()
def get_config() -> dict[str, Any]:
conf, path = config.load('brokers')
conf, path = config.load(
conf_name='brokers',
)
section = conf.get('ib')
accounts = section.get('accounts')
@ -1013,8 +1157,8 @@ def get_config() -> dict[str, Any]:
names = list(accounts.keys())
accts = section['accounts'] = bidict(accounts)
log.info(
f'brokers.toml defines {len(accts)} accounts: '
f'{pformat(names)}'
f'{path} defines {len(accts)} account aliases:\n'
f'{pformat(names)}\n'
)
if section is None:
@ -1081,7 +1225,7 @@ async def load_aio_clients(
try_ports = list(try_ports.values())
_err = None
accounts_def = config.load_accounts(['ib'])
accounts_def: dict[str, str] = config.load_accounts(['ib'])
ports = try_ports if port is None else [port]
combos = list(itertools.product(hosts, ports))
accounts_found: dict[str, Client] = {}
@ -1106,6 +1250,12 @@ async def load_aio_clients(
for i in range(connect_retries):
try:
log.info(
'Trying `ib_async` connect\n'
f'{host}: {port}\n'
f'clientId: {client_id}\n'
f'timeout: {connect_timeout}\n'
)
await ib.connectAsync(
host,
port,
@ -1120,7 +1270,9 @@ async def load_aio_clients(
client = Client(ib=ib, config=conf)
# update all actor-global caches
log.info(f"Caching client for {sockaddr}")
log.runtime(
f'Connected and caching `Client` @ {sockaddr!r}'
)
_client_cache[sockaddr] = client
break
@ -1135,37 +1287,59 @@ async def load_aio_clients(
OSError,
) as ce:
_err = ce
log.warning(
f'Failed to connect on {host}:{port} for {i} time with,\n'
f'{ib.client.apiError.value()}\n'
'retrying with a new client id..')
message: str = (
f'Failed to connect on {host}:{port} after {i} tries with\n'
f'{ib.client.apiError.value()!r}\n\n'
'Retrying with a new client id..\n'
)
log.runtime(message)
else:
# XXX report loudly if we never established after all
# re-tries
log.warning(message)
# Pre-collect all accounts available for this
# connection and map account names to this client
# instance.
for value in ib.accountValues():
acct_number = value.account
acct_number: str = value.account
entry = accounts_def.inverse.get(acct_number)
if not entry:
acnt_alias: str = accounts_def.inverse.get(acct_number)
if not acnt_alias:
# TODO: should we constuct the below reco-ex from
# the existing config content?
_, path = config.load(
conf_name='brokers',
)
raise ValueError(
'No section in brokers.toml for account:'
f' {acct_number}\n'
f'Please add entry to continue using this API client'
'No alias in account section for account!\n'
f'Please add an acnt alias entry to your {path}\n'
'For example,\n\n'
'[ib.accounts]\n'
'margin = {accnt_number!r}\n'
'^^^^^^ <- you need this part!\n\n'
'This ensures `piker` will not leak private acnt info '
'to console output by default!\n'
)
# surjection of account names to operating clients.
if acct_number not in accounts_found:
accounts_found[entry] = client
if acnt_alias not in accounts_found:
accounts_found[acnt_alias] = client
# client._acnt_names.add(acnt_alias)
client._acnt_names.append(acnt_alias)
log.info(
f'Loaded accounts for client @ {host}:{port}\n'
f'{pformat(accounts_found)}'
)
if accounts_found:
log.info(
f'Loaded accounts for api client\n\n'
f'{pformat(accounts_found)}\n'
)
# XXX: why aren't we just updating this directy above
# instead of using the intermediary `accounts_found`?
_accounts2clients.update(accounts_found)
# XXX: why aren't we just updating this directy above
# instead of using the intermediary `accounts_found`?
_accounts2clients.update(accounts_found)
# if we have no clients after the scan loop then error out.
if not _client_cache:
@ -1199,7 +1373,9 @@ async def load_clients_for_trio(
a ``tractor.to_asyncio.open_channel_from()``.
'''
async with load_aio_clients() as accts2clients:
async with load_aio_clients(
disconnect_on_exit=False,
) as accts2clients:
to_trio.send_nowait(accts2clients)
@ -1325,7 +1501,7 @@ class MethodProxy:
self,
pattern: str,
) -> Union[dict[str, Any], trio.Event]:
) -> dict[str, Any] | trio.Event:
ev = self.event_table.get(pattern)
@ -1365,7 +1541,7 @@ async def open_aio_client_method_relay(
msg: tuple[str, dict] | dict | None = await from_trio.get()
match msg:
case None: # termination sentinel
print('asyncio PROXY-RELAY SHUTDOWN')
log.info('asyncio `Client` method-proxy SHUTDOWN!')
break
case (meth_name, kwargs):

View File

@ -20,7 +20,7 @@ Order and trades endpoints for use with ``piker``'s EMS.
"""
from __future__ import annotations
from contextlib import ExitStack
from collections import ChainMap
# from collections import ChainMap
from functools import partial
from pprint import pformat
import time
@ -1183,7 +1183,14 @@ async def deliver_trade_events(
pos
and fill
):
assert fill.commissionReport == cr
now_cr: CommissionReport = fill.commissionReport
if (now_cr != cr):
log.warning(
'UhhHh ib updated the commission report mid-fill..?\n'
f'was: {pformat(cr)}\n'
f'now: {pformat(now_cr)}\n'
)
await emit_pp_update(
ems_stream,
accounts_def,

View File

@ -25,6 +25,7 @@ from contextlib import (
from dataclasses import asdict
from datetime import datetime
from functools import partial
from pprint import pformat
from math import isnan
import time
from typing import (
@ -36,7 +37,13 @@ from typing import (
from async_generator import aclosing
import ib_insync as ibis
import numpy as np
import pendulum
from pendulum import (
now,
from_timestamp,
# DateTime,
Duration,
duration as mk_duration,
)
import tractor
import trio
from trio_typing import TaskStatus
@ -45,10 +52,9 @@ from piker.accounting import (
MktPair,
)
from piker.data.validate import FeedInit
from .._util import (
from piker.brokers._util import (
NoData,
DataUnavailable,
SymbolNotFound,
)
from .api import (
# _adhoc_futes_set,
@ -159,13 +165,13 @@ async def open_history_client(
head_dt: None | datetime = None
if (
# fx cons seem to not provide this endpoint?
# TODO: guard against all contract types which don't
# support it?
'idealpro' not in fqme
):
try:
head_dt = await proxy.get_head_time(fqme=fqme)
except RequestError:
log.warning(f'Unable to get head time: {fqme} ?')
pass
head_dt: datetime | None = await proxy.maybe_get_head_time(
fqme=fqme
)
async def get_hist(
timeframe: float,
@ -173,8 +179,15 @@ async def open_history_client(
start_dt: datetime | None = None,
) -> tuple[np.ndarray, str]:
nonlocal max_timeout, mean, count
if (
start_dt
and start_dt.timestamp() == 0
):
await tractor.pause()
query_start = time.time()
out, timedout = await get_bars(
proxy,
@ -195,24 +208,48 @@ async def open_history_client(
f'mean: {mean}'
)
if (
out is None
):
# could be trying to retreive bars over weekend
# could be trying to retreive bars over weekend
if out is None:
log.error(f"Can't grab bars starting at {end_dt}!?!?")
raise NoData(
f'{end_dt}',
# frame_size=2000,
)
if (
end_dt
and head_dt
and end_dt <= head_dt
):
raise DataUnavailable(
f'First timestamp is {head_dt}\n'
f'But {end_dt} was requested..'
)
if (
end_dt
and head_dt
and end_dt <= head_dt
):
raise DataUnavailable(f'First timestamp is {head_dt}')
else:
raise NoData(
info={
'fqme': fqme,
'head_dt': head_dt,
'start_dt': start_dt,
'end_dt': end_dt,
'timedout': timedout,
},
)
bars, bars_array, first_dt, last_dt = out
# also see return type for `get_bars()`
bars: ibis.objects.BarDataList
bars_array: np.ndarray
first_dt: datetime
last_dt: datetime
(
bars,
bars_array,
first_dt,
last_dt,
) = out
# TODO: audit the sampling period here as well?
# timestep should always be at least as large as the
# period step.
# tdiff: np.ndarray = np.diff(bars_array['time'])
# if (tdiff < timeframe).any():
# await tractor.pause()
# volume cleaning since there's -ve entries,
# wood luv to know what crookery that is..
@ -226,7 +263,18 @@ async def open_history_client(
# quite sure why.. needs some tinkering and probably
# a lookthrough of the ``ib_insync`` machinery, for eg. maybe
# we have to do the batch queries on the `asyncio` side?
yield get_hist, {'erlangs': 1, 'rate': 3}
yield (
get_hist,
{
'erlangs': 1, # max conc reqs
'rate': 3, # max req rate
'frame_types': { # expected frame sizes
1: mk_duration(seconds=2e3),
60: mk_duration(days=2),
}
},
)
_pacing: str = (
@ -371,7 +419,11 @@ async def get_bars(
while _failed_resets < max_failed_resets:
try:
out = await proxy.bars(
(
bars,
bars_array,
dt_duration,
) = await proxy.bars(
fqme=fqme,
end_dt=end_dt,
sample_period_s=timeframe,
@ -382,44 +434,58 @@ async def get_bars(
# current impl) to detect a cancel case.
# timeout=timeout,
)
if out is None:
raise NoData(f'{end_dt}')
bars, bars_array, dt_duration = out
# usually either a request during a venue closure
# or into a large (weekend) closure gap.
if not bars:
# no data returned?
log.warning(
'History frame is blank?\n'
f'start_dt: {start_dt}\n'
f'end_dt: {end_dt}\n'
f'duration: {dt_duration}\n'
)
# NOTE: REQUIRED to pass back value..
result = None
return None
# not enough bars signal, likely due to venue
# operational gaps.
too_little: bool = False
if (
end_dt
and (
not bars
or (too_little :=
start_dt
and (len(bars) * timeframe)
< dt_duration.in_seconds()
)
)
):
if (
end_dt
or too_little
):
if end_dt:
dur_s: float = len(bars) * timeframe
bars_dur = Duration(seconds=dur_s)
dt_dur_s: float = dt_duration.in_seconds()
if dur_s < dt_dur_s:
log.warning(
f'History is blank for {dt_duration} from {end_dt}'
'History frame is shorter then expected?\n'
f'start_dt: {start_dt}\n'
f'end_dt: {end_dt}\n'
f'duration: {dt_dur_s}\n'
f'frame duration seconds: {dur_s}\n'
f'dur diff: {dt_duration - bars_dur}\n'
)
end_dt -= dt_duration
continue
# NOTE: we used to try to get a minimal
# set of bars by recursing but this ran
# into possible infinite query loops
# when logic in the `Client.bars()` dt
# diffing went bad. So instead for now
# we just return the
# shorter-then-expected history with
# a warning.
# TODO: in the future it prolly makes
# the most send to do venue operating
# hours lookup and
# timestamp-in-operating-range set
# checking to know for sure if we can
# safely and quickly ignore non-uniform history
# frame timestamp gaps..
# end_dt -= dt_duration
# continue
# await tractor.pause()
raise NoData(f'{end_dt}')
if bars_array is None:
raise SymbolNotFound(fqme)
first_dt = pendulum.from_timestamp(
first_dt = from_timestamp(
bars[0].date.timestamp())
last_dt = pendulum.from_timestamp(
last_dt = from_timestamp(
bars[-1].date.timestamp())
time = bars_array['time']
@ -432,6 +498,7 @@ async def get_bars(
if data_cs:
data_cs.cancel()
# NOTE: setting this is critical!
result = (
bars, # ib native
bars_array, # numpy
@ -442,6 +509,7 @@ async def get_bars(
# signal data reset loop parent task
result_ready.set()
# NOTE: this isn't getting collected anywhere!
return result
except RequestError as err:
@ -467,7 +535,7 @@ async def get_bars(
if end_dt is not None:
end_dt = end_dt.subtract(days=1)
elif end_dt is None:
end_dt = pendulum.now().subtract(days=1)
end_dt = now().subtract(days=1)
log.warning(
f'NO DATA found ending @ {end_dt}\n'
@ -603,8 +671,8 @@ async def _setup_quote_stream(
# making them mostly useless and explains why the scanner
# is always slow XD
# '293', # Trade count for day
'294', # Trade rate / minute
'295', # Vlm rate / minute
# '294', # Trade rate / minute
# '295', # Vlm rate / minute
),
contract: Contract | None = None,
@ -815,7 +883,10 @@ async def stream_quotes(
proxy: MethodProxy
mkt: MktPair
details: ibis.ContractDetails
async with open_data_client() as proxy:
async with (
open_data_client() as proxy,
# trio.open_nursery() as tn,
):
mkt, details = await get_mkt_info(
sym,
proxy=proxy, # passed to avoid implicit client load
@ -835,30 +906,50 @@ async def stream_quotes(
init_msgs.append(init_msg)
con: Contract = details.contract
first_ticker: Ticker = await proxy.get_quote(contract=con)
first_quote: dict = normalize(first_ticker)
log.warning(f'FIRST QUOTE: {first_quote}')
# TODO: we should instead spawn a task that waits on a feed to start
# and let it wait indefinitely..instead of this hard coded stuff.
first_ticker: Ticker | None = None
with trio.move_on_after(1):
first_ticker = await proxy.get_quote(
first_ticker: Ticker = await proxy.get_quote(
contract=con,
raise_on_timeout=True,
raise_on_timeout=False,
)
# it might be outside regular trading hours so see if we can at
# least grab history.
if first_ticker:
first_quote: dict = normalize(first_ticker)
# TODO: we need a stack-oriented log levels filters for
# this!
# log.info(message, filter={'stack': 'live_feed'}) ?
log.runtime(
'Rxed init quote:\n\n'
f'{pformat(first_quote)}\n'
)
# NOTE: it might be outside regular trading hours for
# assets with "standard venue operating hours" so we
# only "pretend the feed is live" when the dst asset
# type is NOT within the NON-NORMAL-venue set: aka not
# commodities, forex or crypto currencies which CAN
# always return a NaN on a snap quote request during
# normal venue hours. In the case of a closed venue
# (equitiies, futes, bonds etc.) we at least try to
# grab the OHLC history.
if (
isnan(first_ticker.last) # last quote price value is nan
first_ticker
and
isnan(first_ticker.last)
# SO, if the last quote price value is NaN we ONLY
# "pretend to do" `feed_is_live.set()` if it's a known
# dst asset venue with a lot of closed operating hours.
and mkt.dst.atype not in {
'commodity',
'fiat',
'crypto',
}
):
task_status.started((init_msgs, first_quote))
task_status.started((
init_msgs,
first_quote,
))
# it's not really live but this will unblock
# the brokerd feed task to tell the ui to update?
@ -868,6 +959,28 @@ async def stream_quotes(
await trio.sleep_forever()
return # we never expect feed to come up?
# TODO: we should instead spawn a task that waits on a feed
# to start and let it wait indefinitely..instead of this
# hard coded stuff.
# async def wait_for_first_quote():
# with trio.CancelScope() as cs:
# XXX: MUST acquire a ticker + first quote before starting
# the live quotes loop!
# with trio.move_on_after(1):
first_ticker = await proxy.get_quote(
contract=con,
raise_on_timeout=True,
)
first_quote: dict = normalize(first_ticker)
# TODO: we need a stack-oriented log levels filters for
# this!
# log.info(message, filter={'stack': 'live_feed'}) ?
log.runtime(
'Rxed init quote:\n'
f'{pformat(first_quote)}'
)
cs: trio.CancelScope | None = None
startup: bool = True
while (
@ -888,8 +1001,11 @@ async def stream_quotes(
# only on first entry at feed boot up
if startup:
startup = False
task_status.started((init_msgs, first_quote))
startup: bool = False
task_status.started((
init_msgs,
first_quote,
))
# start a stream restarter task which monitors the
# data feed event.
@ -913,7 +1029,7 @@ async def stream_quotes(
# generally speaking these feeds don't
# include vlm data.
atype = mkt.dst.atype
atype: str = mkt.dst.atype
log.info(
f'No-vlm {mkt.fqme}@{atype}, skipping quote poll'
)
@ -949,7 +1065,8 @@ async def stream_quotes(
quote = normalize(ticker)
log.debug(f"First ticker received {quote}")
# tell caller quotes are now coming in live
# tell data-layer spawner-caller that live
# quotes are now streaming.
feed_is_live.set()
# last = time.time()

View File

@ -31,7 +31,11 @@ from typing import (
)
from bidict import bidict
import pendulum
from pendulum import (
DateTime,
parse,
from_timestamp,
)
from ib_insync import (
Contract,
Commodity,
@ -66,10 +70,11 @@ tx_sort: Callable = partial(
iter_by_dt,
parsers={
'dateTime': parse_flex_dt,
'datetime': pendulum.parse,
# for some some fucking 2022 and
# back options records...fuck me.
'date': pendulum.parse,
'datetime': parse,
# XXX: for some some fucking 2022 and
# back options records.. f@#$ me..
'date': parse,
}
)
@ -89,15 +94,38 @@ def norm_trade(
conid: int = str(record.get('conId') or record['conid'])
bs_mktid: str = str(conid)
comms = record.get('commission')
if comms is None:
comms = -1*record['ibCommission']
price = record.get('price') or record['tradePrice']
# NOTE: sometimes weird records (like BTTX?)
# have no field for this?
comms: float = -1 * (
record.get('commission')
or record.get('ibCommission')
or 0
)
if not comms:
log.warning(
'No commissions found for record?\n'
f'{pformat(record)}\n'
)
price: float = (
record.get('price')
or record.get('tradePrice')
)
if price is None:
log.warning(
'No `price` field found in record?\n'
'Skipping normalization..\n'
f'{pformat(record)}\n'
)
return None
# the api doesn't do the -/+ on the quantity for you but flex
# records do.. are you fucking serious ib...!?
size = record.get('quantity') or record['shares'] * {
size: float|int = (
record.get('quantity')
or record['shares']
) * {
'BOT': 1,
'SLD': -1,
}[record['side']]
@ -128,26 +156,31 @@ def norm_trade(
# otype = tail[6]
# strike = tail[7:]
print(f'skipping opts contract {symbol}')
log.warning(
f'Skipping option contract -> NO SUPPORT YET!\n'
f'{symbol}\n'
)
return None
# timestamping is way different in API records
dtstr = record.get('datetime')
date = record.get('date')
flex_dtstr = record.get('dateTime')
dtstr: str = record.get('datetime')
date: str = record.get('date')
flex_dtstr: str = record.get('dateTime')
if dtstr or date:
dt = pendulum.parse(dtstr or date)
dt: DateTime = parse(dtstr or date)
elif flex_dtstr:
# probably a flex record with a wonky non-std timestamp..
dt = parse_flex_dt(record['dateTime'])
dt: DateTime = parse_flex_dt(record['dateTime'])
# special handling of symbol extraction from
# flex records using some ad-hoc schema parsing.
asset_type: str = record.get(
'assetCategory'
) or record.get('secType', 'STK')
asset_type: str = (
record.get('assetCategory')
or record.get('secType')
or 'STK'
)
if (expiry := (
record.get('lastTradeDateOrContractMonth')
@ -357,6 +390,7 @@ def norm_trade_records(
if txn is None:
continue
# inject txns sorted by datetime
insort(
records,
txn,
@ -405,7 +439,7 @@ def api_trades_to_ledger_entries(
txn_dict[attr_name] = val
tid = str(txn_dict['execId'])
dt = pendulum.from_timestamp(txn_dict['time'])
dt = from_timestamp(txn_dict['time'])
txn_dict['datetime'] = str(dt)
acctid = accounts[txn_dict['acctNumber']]

View File

@ -209,12 +209,15 @@ async def open_symbol_search(ctx: tractor.Context) -> None:
break
ib_client = proxy._aio_ns.ib
log.info(f'Using {ib_client} for symbol search')
log.info(
f'Using API client for symbol-search\n'
f'{ib_client}\n'
)
last = time.time()
async for pattern in stream:
log.info(f'received {pattern}')
now = time.time()
now: float = time.time()
# this causes tractor hang...
# assert 0
@ -261,7 +264,9 @@ async def open_symbol_search(ctx: tractor.Context) -> None:
# defined adhoc symbol set.
stock_results = []
async def stash_results(target: Awaitable[list]):
async def extend_results(
target: Awaitable[list]
) -> None:
try:
results = await target
except tractor.trionics.Lagged:
@ -274,7 +279,7 @@ async def open_symbol_search(ctx: tractor.Context) -> None:
with trio.move_on_after(3) as cs:
async with trio.open_nursery() as sn:
sn.start_soon(
stash_results,
extend_results,
proxy.search_symbols(
pattern=pattern,
upto=5,
@ -289,8 +294,10 @@ async def open_symbol_search(ctx: tractor.Context) -> None:
f'Search timeout? {proxy._aio_ns.ib.client}'
)
continue
else:
elif stock_results:
break
# else:
# await tractor.pause()
# # match against our ad-hoc set immediately
# adhoc_matches = fuzzy.extract(
@ -518,7 +525,21 @@ async def get_mkt_info(
venue = con.primaryExchange or con.exchange
price_tick: Decimal = Decimal(str(details.minTick))
# price_tick: Decimal = Decimal('0.01')
ib_min_tick_gt_2: Decimal = Decimal('0.01')
if (
price_tick < ib_min_tick_gt_2
):
# TODO: we need to add some kinda dynamic rounding sys
# to our MktPair i guess?
# not sure where the logic should sit, but likely inside
# the `.clearing._ems` i suppose...
log.warning(
'IB seems to disallow a min price tick < 0.01 '
'when the price is > 2.0..?\n'
f'Decreasing min tick precision for {fqme} to 0.01'
)
# price_tick = ib_min_tick
# await tractor.pause()
if atype == 'stock':
# XXX: GRRRR they don't support fractional share sizes for

View File

@ -27,8 +27,8 @@ from typing import (
)
import time
import httpx
import pendulum
import asks
import numpy as np
import urllib.parse
import hashlib
@ -60,6 +60,11 @@ log = get_logger('piker.brokers.kraken')
# <uri>/<version>/
_url = 'https://api.kraken.com/0'
_headers: dict[str, str] = {
'User-Agent': 'krakenex/2.1.0 (+https://github.com/veox/python3-krakenex)'
}
# TODO: this is the only backend providing this right?
# in which case we should drop it from the defaults and
# instead make a custom fields descr in this module!
@ -70,12 +75,18 @@ _symbol_info_translation: dict[str, str] = {
def get_config() -> dict[str, Any]:
'''
Load our section from `piker/brokers.toml`.
conf, path = config.load()
section = conf.get('kraken')
if section is None:
log.warning(f'No config section found for kraken in {path}')
'''
conf, path = config.load(
conf_name='brokers',
touch_if_dne=True,
)
if (section := conf.get('kraken')) is None:
log.warning(
f'No config section found for kraken in {path}'
)
return {}
return section
@ -129,16 +140,15 @@ class Client:
def __init__(
self,
config: dict[str, str],
httpx_client: httpx.AsyncClient,
name: str = '',
api_key: str = '',
secret: str = ''
) -> None:
self._sesh = asks.Session(connections=4)
self._sesh.base_location = _url
self._sesh.headers.update({
'User-Agent':
'krakenex/2.1.0 (+https://github.com/veox/python3-krakenex)'
})
self._sesh: httpx.AsyncClient = httpx_client
self._name = name
self._api_key = api_key
self._secret = secret
@ -160,10 +170,9 @@ class Client:
method: str,
data: dict,
) -> dict[str, Any]:
resp = await self._sesh.post(
path=f'/public/{method}',
resp: httpx.Response = await self._sesh.post(
url=f'/public/{method}',
json=data,
timeout=float('inf')
)
return resproc(resp, log)
@ -174,18 +183,18 @@ class Client:
uri_path: str
) -> dict[str, Any]:
headers = {
'Content-Type':
'application/x-www-form-urlencoded',
'API-Key':
self._api_key,
'API-Sign':
get_kraken_signature(uri_path, data, self._secret)
'Content-Type': 'application/x-www-form-urlencoded',
'API-Key': self._api_key,
'API-Sign': get_kraken_signature(
uri_path,
data,
self._secret,
),
}
resp = await self._sesh.post(
path=f'/private/{method}',
resp: httpx.Response = await self._sesh.post(
url=f'/private/{method}',
data=data,
headers=headers,
timeout=float('inf')
)
return resproc(resp, log)
@ -659,24 +668,36 @@ class Client:
@acm
async def get_client() -> Client:
conf = get_config()
if conf:
client = Client(
conf,
conf: dict[str, Any] = get_config()
async with httpx.AsyncClient(
base_url=_url,
headers=_headers,
# TODO: don't break these up and just do internal
# conf lookups instead..
name=conf['key_descr'],
api_key=conf['api_key'],
secret=conf['secret']
)
else:
client = Client({})
# TODO: is there a way to numerate this?
# https://www.python-httpx.org/advanced/clients/#why-use-a-client
# connections=4
) as trio_client:
if conf:
client = Client(
conf,
httpx_client=trio_client,
# at startup, load all symbols, and asset info in
# batch requests.
async with trio.open_nursery() as nurse:
nurse.start_soon(client.get_assets)
await client.get_mkt_pairs()
# TODO: don't break these up and just do internal
# conf lookups instead..
name=conf['key_descr'],
api_key=conf['api_key'],
secret=conf['secret']
)
else:
client = Client(
conf={},
httpx_client=trio_client,
)
yield client
# at startup, load all symbols, and asset info in
# batch requests.
async with trio.open_nursery() as nurse:
nurse.start_soon(client.get_assets)
await client.get_mkt_pairs()
yield client

View File

@ -612,18 +612,18 @@ async def open_trade_dialog(
# enter relay loop
await handle_order_updates(
client,
ws,
stream,
ems_stream,
apiflows,
ids,
reqids2txids,
acnt,
api_trans,
acctid,
acc_name,
token,
client=client,
ws=ws,
ws_stream=stream,
ems_stream=ems_stream,
apiflows=apiflows,
ids=ids,
reqids2txids=reqids2txids,
acnt=acnt,
ledger=ledger,
acctid=acctid,
acc_name=acc_name,
token=token,
)
@ -639,7 +639,8 @@ async def handle_order_updates(
# transaction records which will be updated
# on new trade clearing events (aka order "fills")
ledger_trans: dict[str, Transaction],
ledger: TransactionLedger,
# ledger_trans: dict[str, Transaction],
acctid: str,
acc_name: str,
token: str,
@ -699,7 +700,8 @@ async def handle_order_updates(
# if tid not in ledger_trans
}
for tid, trade in trades.items():
assert tid not in ledger_trans
# assert tid not in ledger_trans
assert tid not in ledger
txid = trade['ordertxid']
reqid = trade.get('userref')
@ -747,11 +749,17 @@ async def handle_order_updates(
client,
api_name_set='wsname',
)
ppmsgs = trades2pps(
acnt,
acctid,
new_trans,
ppmsgs: list[BrokerdPosition] = trades2pps(
acnt=acnt,
ledger=ledger,
acctid=acctid,
new_trans=new_trans,
)
# ppmsgs = trades2pps(
# acnt,
# acctid,
# new_trans,
# )
for pp_msg in ppmsgs:
await ems_stream.send(pp_msg)

View File

@ -16,10 +16,9 @@
# along with this program. If not, see <https://www.gnu.org/licenses/>.
'''
Kucoin broker backend
Kucoin cex API backend.
'''
from contextlib import (
asynccontextmanager as acm,
aclosing,
@ -41,9 +40,8 @@ from typing import (
import wsproto
from uuid import uuid4
from rapidfuzz import process as fuzzy
from trio_typing import TaskStatus
import asks
import httpx
from bidict import bidict
import numpy as np
import pendulum
@ -64,7 +62,7 @@ from piker._cacheables import (
)
from piker.log import get_logger
from piker.data.validate import FeedInit
from piker.types import Struct
from piker.types import Struct # NOTE, this is already a `tractor.msg.Struct`
from piker.data import (
def_iohlcv_fields,
match_from_pairs,
@ -100,9 +98,18 @@ class KucoinMktPair(Struct, frozen=True):
def size_tick(self) -> Decimal:
return Decimal(str(self.quoteMinSize))
callauctionFirstStageStartTime: None|float
callauctionIsEnabled: bool
callauctionPriceCeiling: float|None
callauctionPriceFloor: float|None
callauctionSecondStageStartTime: float|None
callauctionThirdStageStartTime: float|None
enableTrading: bool
feeCategory: int
feeCurrency: str
isMarginEnabled: bool
makerFeeCoefficient: float
market: str
minFunds: float
name: str
@ -112,7 +119,10 @@ class KucoinMktPair(Struct, frozen=True):
quoteIncrement: float
quoteMaxSize: float
quoteMinSize: float
st: bool
symbol: str # our bs_mktid, kucoin's internal id
takerFeeCoefficient: float
tradingStartTime: float|None
class AccountTrade(Struct, frozen=True):
@ -213,8 +223,12 @@ def get_config() -> BrokerConfig | None:
class Client:
def __init__(self) -> None:
self._config: BrokerConfig | None = get_config()
def __init__(
self,
httpx_client: httpx.AsyncClient,
) -> None:
self._http: httpx.AsyncClient = httpx_client
self._config: BrokerConfig|None = get_config()
self._pairs: dict[str, KucoinMktPair] = {}
self._fqmes2mktids: bidict[str, str] = bidict()
self._bars: list[list[float]] = []
@ -228,18 +242,24 @@ class Client:
) -> dict[str, str | bytes]:
'''
Generate authenticated request headers
Generate authenticated request headers:
https://docs.kucoin.com/#authentication
https://www.kucoin.com/docs/basic-info/connection-method/authentication/creating-a-request
https://www.kucoin.com/docs/basic-info/connection-method/authentication/signing-a-message
'''
if not self._config:
raise ValueError(
'No config found when trying to send authenticated request')
'No config found when trying to send authenticated request'
)
str_to_sign = (
str(int(time.time() * 1000))
+ action + f'/api/{api}/{endpoint.lstrip("/")}'
+
action
+
f'/api/{api}/{endpoint.lstrip("/")}'
)
signature = base64.b64encode(
@ -250,6 +270,7 @@ class Client:
).digest()
)
# TODO: can we cache this between calls?
passphrase = base64.b64encode(
hmac.new(
self._config.key_secret.encode('utf-8'),
@ -271,8 +292,10 @@ class Client:
self,
action: Literal['POST', 'GET'],
endpoint: str,
api: str = 'v2',
headers: dict = {},
) -> Any:
'''
Generic request wrapper for Kucoin API
@ -285,14 +308,19 @@ class Client:
api,
)
api_url = f'https://api.kucoin.com/api/{api}/{endpoint}'
res = await asks.request(action, api_url, headers=headers)
json = res.json()
if 'data' in json:
return json['data']
req_meth: Callable = getattr(
self._http,
action.lower(),
)
res = await req_meth(
url=f'/{api}/{endpoint}',
headers=headers,
)
json: dict = res.json()
if (data := json.get('data')) is not None:
return data
else:
api_url: str = self._http.base_url
log.error(
f'Error making request to {api_url} ->\n'
f'{pformat(res)}'
@ -312,7 +340,7 @@ class Client:
'''
token_type = 'private' if private else 'public'
try:
data: dict[str, Any] | None = await self._request(
data: dict[str, Any]|None = await self._request(
'POST',
endpoint=f'bullet-{token_type}',
api='v1'
@ -350,8 +378,8 @@ class Client:
currencies: dict[str, Currency] = {}
entries: list[dict] = await self._request(
'GET',
api='v1',
endpoint='currencies',
api='v1',
)
for entry in entries:
curr = Currency(**entry).copy()
@ -367,13 +395,22 @@ class Client:
dict[str, KucoinMktPair],
bidict[str, KucoinMktPair],
]:
entries = await self._request('GET', 'symbols')
entries = await self._request(
'GET',
endpoint='symbols',
)
log.info(f' {len(entries)} Kucoin market pairs fetched')
pairs: dict[str, KucoinMktPair] = {}
fqmes2mktids: bidict[str, str] = bidict()
for item in entries:
pair = pairs[item['name']] = KucoinMktPair(**item)
try:
pair = pairs[item['name']] = KucoinMktPair(**item)
except TypeError as te:
raise TypeError(
'`KucoinMktPair` and reponse fields do not match ??\n'
f'{KucoinMktPair.fields_diff(item)}\n'
) from te
fqmes2mktids[
item['name'].lower().replace('-', '')
] = pair.name
@ -416,8 +453,7 @@ class Client:
await self.get_mkt_pairs()
assert self._pairs, '`Client.get_mkt_pairs()` was never called!?'
matches: dict[str, Pair] = match_from_pairs(
matches: dict[str, KucoinMktPair] = match_from_pairs(
pairs=self._pairs,
# query=pattern.upper(),
query=pattern.upper(),
@ -569,13 +605,21 @@ def fqme_to_kucoin_sym(
@acm
async def get_client() -> AsyncGenerator[Client, None]:
client = Client()
'''
Load an API `Client` preconfigured from user settings
async with trio.open_nursery() as n:
n.start_soon(client.get_mkt_pairs)
await client.get_currencies()
'''
async with (
httpx.AsyncClient(
base_url='https://api.kucoin.com/api',
) as trio_client,
):
client = Client(httpx_client=trio_client)
async with trio.open_nursery() as tn:
tn.start_soon(client.get_mkt_pairs)
await client.get_currencies()
yield client
yield client
@tractor.context
@ -611,7 +655,7 @@ async def open_ping_task(
await trio.sleep((ping_interval - 1000) / 1000)
await ws.send_msg({'id': connect_id, 'type': 'ping'})
log.info('Starting ping task for kucoin ws connection')
log.warning('Starting ping task for kucoin ws connection')
n.start_soon(ping_server)
yield
@ -623,9 +667,14 @@ async def open_ping_task(
async def get_mkt_info(
fqme: str,
) -> tuple[MktPair, KucoinMktPair]:
) -> tuple[
MktPair,
KucoinMktPair,
]:
'''
Query for and return a `MktPair` and `KucoinMktPair`.
Query for and return both a `piker.accounting.MktPair` and
`KucoinMktPair` from provided `fqme: str`
(fully-qualified-market-endpoint).
'''
async with open_cached_client('kucoin') as client:
@ -700,6 +749,8 @@ async def stream_quotes(
log.info(f'Starting up quote stream(s) for {symbols}')
for sym_str in symbols:
mkt: MktPair
pair: KucoinMktPair
mkt, pair = await get_mkt_info(sym_str)
init_msgs.append(
FeedInit(mkt_info=mkt)
@ -707,7 +758,11 @@ async def stream_quotes(
ws: NoBsWs
token, ping_interval = await client._get_ws_token()
connect_id = str(uuid4())
log.info('API reported ping_interval: {ping_interval}\n')
connect_id: str = str(uuid4())
typ: str
quote: dict
async with (
open_autorecon_ws(
(
@ -721,20 +776,37 @@ async def stream_quotes(
),
) as ws,
open_ping_task(ws, ping_interval, connect_id),
aclosing(stream_messages(ws, sym_str)) as msg_gen,
aclosing(
iter_normed_quotes(
ws, sym_str
)
) as iter_quotes,
):
typ, quote = await anext(msg_gen)
typ, quote = await anext(iter_quotes)
while typ != 'trade':
# take care to not unblock here until we get a real
# trade quote
typ, quote = await anext(msg_gen)
# take care to not unblock here until we get a real
# trade quote?
# ^TODO, remove this right?
# -[ ] what often blocks chart boot/new-feed switching
# since we'ere waiting for a live quote instead of just
# loading history afap..
# |_ XXX, not sure if we require a bit of rework to core
# feed init logic or if backends justg gotta be
# changed up.. feel like there was some causality
# dilema prolly only seen with IB too..
# while typ != 'trade':
# typ, quote = await anext(iter_quotes)
task_status.started((init_msgs, quote))
feed_is_live.set()
async for typ, msg in msg_gen:
await send_chan.send({sym_str: msg})
# XXX NOTE, DO NOT include the `.<backend>` suffix!
# OW the sampling loop will not broadcast correctly..
# since `bus._subscribers.setdefault(bs_fqme, set())`
# is used inside `.data.open_feed_bus()` !!!
topic: str = mkt.bs_fqme
async for typ, quote in iter_quotes:
await send_chan.send({topic: quote})
@acm
@ -789,7 +861,7 @@ async def subscribe(
)
async def stream_messages(
async def iter_normed_quotes(
ws: NoBsWs,
sym: str,
@ -820,6 +892,9 @@ async def stream_messages(
yield 'trade', {
'symbol': sym,
# TODO, is 'last' even used elsewhere/a-good
# semantic? can't we just read the ticks with our
# .data.ticktools.frame_ticks()`/
'last': trade_data.price,
'brokerd_ts': last_trade_ts,
'ticks': [
@ -912,7 +987,7 @@ async def open_history_client(
if end_dt is None:
inow = round(time.time())
print(
log.debug(
f'difference in time between load and processing'
f'{inow - times[-1]}'
)

View File

@ -0,0 +1,49 @@
piker.clearing
______________
trade execution-n-control subsys for both live and paper trading as
well as algo-trading manual override/interaction across any backend
broker and data provider.
avail UIs
*********
order ctl
---------
the `piker.clearing` subsys is exposed mainly though
the `piker chart` GUI as a "chart trader" style UX and
is automatically enabled whenever a chart is opened.
.. ^TODO, more prose here!
the "manual" order control features are exposed via the
`piker.ui.order_mode` API and can pretty much always be
used (at least) in simulated-trading mode, aka "paper"-mode, and
the micro-manual is as follows:
``order_mode`` (
edge triggered activation by any of the following keys,
``mouse-click`` on y-level to submit at that price
):
- ``f``/ ``ctl-f`` to stage buy
- ``d``/ ``ctl-d`` to stage sell
- ``a`` to stage alert
``search_mode`` (
``ctl-l`` or ``ctl-space`` to open,
``ctl-c`` or ``ctl-space`` to close
) :
- begin typing to have symbol search automatically lookup
symbols from all loaded backend (broker) providers
- arrow keys and mouse click to navigate selection
- vi-like ``ctl-[hjkl]`` for navigation
position (pp) mgmt
------------------
you can also configure your position allocation limits from the
sidepane.
.. ^TODO, explain and provide tut once more refined!

View File

@ -913,8 +913,17 @@ async def translate_and_relay_brokerd_events(
}:
if (
not oid
# try to lookup any order dialog by
# brokerd-side id..
and not (
oid := book._ems2brokerd_ids.inverse.get(reqid)
)
):
oid: str = book._ems2brokerd_ids.inverse[reqid]
log.warning(
f'Rxed unusable error-msg:\n'
f'{brokerd_msg}'
)
continue
msg = BrokerdError(**brokerd_msg)

View File

@ -26,6 +26,7 @@ from contextlib import asynccontextmanager as acm
from datetime import datetime
from operator import itemgetter
import itertools
from pprint import pformat
import time
from typing import (
Callable,
@ -39,6 +40,7 @@ import trio
import tractor
from piker.brokers import get_brokermod
from piker.service import find_service
from piker.accounting import (
Account,
MktPair,
@ -696,7 +698,12 @@ async def open_trade_dialog(
# sanity check all the mkt infos
for fqme, flume in feed.flumes.items():
mkt: MktPair = symcache.mktmaps.get(fqme) or mkt_by_fqme[fqme]
assert mkt == flume.mkt
if mkt != flume.mkt:
diff: tuple = mkt - flume.mkt
log.warning(
'MktPair sig mismatch?\n'
f'{pformat(diff)}'
)
get_cost: Callable = getattr(
brokermod,
@ -754,7 +761,7 @@ async def open_paperboi(
service_name = f'paperboi.{broker}'
async with (
tractor.find_actor(service_name) as portal,
find_service(service_name) as portal,
tractor.open_nursery() as an,
):
# NOTE: only spawn if no paperboi already is up since we likely
@ -777,8 +784,10 @@ async def open_paperboi(
) as (ctx, first):
yield ctx, first
# tear down connection and any spawned actor on exit
# ALWAYS tear down connection AND any newly spawned
# paperboi actor on exit!
await ctx.cancel()
if we_spawned:
await portal.cancel_actor()

View File

@ -1,30 +1,33 @@
# piker: trading gear for hackers
# Copyright (C) 2018-present Tyler Goodlet (in stewardship of pikers)
# Copyright (C) 2018-present Tyler Goodlet
# (in stewardship for pikers, everywhere.)
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU Affero General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
# This program is free software: you can redistribute it and/or
# modify it under the terms of the GNU Affero General Public
# License as published by the Free Software Foundation, either
# version 3 of the License, or (at your option) any later version.
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU Affero General Public License for more details.
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
# Affero General Public License for more details.
# You should have received a copy of the GNU Affero General Public License
# along with this program. If not, see <https://www.gnu.org/licenses/>.
# You should have received a copy of the GNU Affero General Public
# License along with this program. If not, see
# <https://www.gnu.org/licenses/>.
'''
CLI commons.
'''
import os
from contextlib import AsyncExitStack
# from contextlib import AsyncExitStack
from types import ModuleType
import click
import trio
import tractor
from tractor._multiaddr import parse_maddr
from ..log import (
get_console_log,
@ -42,89 +45,175 @@ from .. import config
log = get_logger('piker.cli')
def load_trans_eps(
network: dict | None = None,
maddrs: list[tuple] | None = None,
) -> dict[str, dict[str, dict]]:
# transport-oriented endpoint multi-addresses
eps: dict[
str, # service name, eg. `pikerd`, `emsd`..
# libp2p style multi-addresses parsed into prot layers
list[dict[str, str | int]]
] = {}
if (
network
and not maddrs
):
# load network section and (attempt to) connect all endpoints
# which are reachable B)
for key, maddrs in network.items():
match key:
# TODO: resolve table across multiple discov
# prots Bo
case 'resolv':
pass
case 'pikerd':
dname: str = key
for maddr in maddrs:
layers: dict = parse_maddr(maddr)
eps.setdefault(
dname,
[],
).append(layers)
elif maddrs:
# presume user is manually specifying the root actor ep.
eps['pikerd'] = [parse_maddr(maddr)]
return eps
@click.command()
@click.option('--loglevel', '-l', default='warning', help='Logging level')
@click.option('--tl', is_flag=True, help='Enable tractor logging')
@click.option('--pdb', is_flag=True, help='Enable tractor debug mode')
@click.option('--host', '-h', default=None, help='Host addr to bind')
@click.option('--port', '-p', default=None, help='Port number to bind')
@click.option(
'--tsdb',
is_flag=True,
help='Enable local ``marketstore`` instance'
'--loglevel',
'-l',
default='warning',
help='Logging level',
)
@click.option(
'--es',
'--tl',
is_flag=True,
help='Enable local ``elasticsearch`` instance'
help='Enable tractor-runtime logs',
)
@click.option(
'--pdb',
is_flag=True,
help='Enable tractor debug mode',
)
@click.option(
'--maddr',
'-m',
default=None,
help='Multiaddrs to bind or contact',
)
# @click.option(
# '--tsdb',
# is_flag=True,
# help='Enable local ``marketstore`` instance'
# )
# @click.option(
# '--es',
# is_flag=True,
# help='Enable local ``elasticsearch`` instance'
# )
def pikerd(
maddr: list[str] | None,
loglevel: str,
host: str,
port: int,
tl: bool,
pdb: bool,
tsdb: bool,
es: bool,
# tsdb: bool,
# es: bool,
):
'''
Spawn the piker broker-daemon.
'''
log = get_console_log(loglevel, name='cli')
from tractor.devx import maybe_open_crash_handler
with maybe_open_crash_handler(pdb=pdb):
log = get_console_log(loglevel, name='cli')
if pdb:
log.warning((
"\n"
"!!! YOU HAVE ENABLED DAEMON DEBUG MODE !!!\n"
"When a `piker` daemon crashes it will block the "
"task-thread until resumed from console!\n"
"\n"
))
if pdb:
log.warning((
"\n"
"!!! YOU HAVE ENABLED DAEMON DEBUG MODE !!!\n"
"When a `piker` daemon crashes it will block the "
"task-thread until resumed from console!\n"
"\n"
))
reg_addr: None | tuple[str, int] = None
if host or port:
reg_addr = (
host or _default_registry_host,
int(port) or _default_registry_port,
# service-actor registry endpoint socket-address set
regaddrs: list[tuple[str, int]] = []
conf, _ = config.load(
conf_name='conf',
)
from .. import service
async def main():
service_mngr: service.Services
async with (
service.open_pikerd(
loglevel=loglevel,
debug_mode=pdb,
registry_addr=reg_addr,
) as service_mngr, # normally delivers a ``Services`` handle
AsyncExitStack() as stack,
network: dict = conf.get('network')
if (
network is None
and not maddr
):
if tsdb:
dname, conf = await stack.enter_async_context(
service.marketstore.start_ahab_daemon(
service_mngr,
loglevel=loglevel,
)
)
log.info(f'TSDB `{dname}` up with conf:\n{conf}')
regaddrs = [(
_default_registry_host,
_default_registry_port,
)]
if es:
dname, conf = await stack.enter_async_context(
service.elastic.start_ahab_daemon(
service_mngr,
loglevel=loglevel,
)
)
log.info(f'DB `{dname}` up with conf:\n{conf}')
else:
eps: dict = load_trans_eps(
network,
maddr,
)
for layers in eps['pikerd']:
regaddrs.append((
layers['ipv4']['addr'],
layers['tcp']['port'],
))
await trio.sleep_forever()
from .. import service
trio.run(main)
async def main():
service_mngr: service.Services
async with (
service.open_pikerd(
registry_addrs=regaddrs,
loglevel=loglevel,
debug_mode=pdb,
) as service_mngr, # normally delivers a ``Services`` handle
# AsyncExitStack() as stack,
):
# TODO: spawn all other sub-actor daemons according to
# multiaddress endpoint spec defined by user config
assert service_mngr
# if tsdb:
# dname, conf = await stack.enter_async_context(
# service.marketstore.start_ahab_daemon(
# service_mngr,
# loglevel=loglevel,
# )
# )
# log.info(f'TSDB `{dname}` up with conf:\n{conf}')
# if es:
# dname, conf = await stack.enter_async_context(
# service.elastic.start_ahab_daemon(
# service_mngr,
# loglevel=loglevel,
# )
# )
# log.info(f'DB `{dname}` up with conf:\n{conf}')
await trio.sleep_forever()
trio.run(main)
@click.group(context_settings=config._context_defaults)
@ -137,8 +226,24 @@ def pikerd(
@click.option('--loglevel', '-l', default='warning', help='Logging level')
@click.option('--tl', is_flag=True, help='Enable tractor logging')
@click.option('--configdir', '-c', help='Configuration directory')
@click.option('--host', '-h', default=None, help='Host addr to bind')
@click.option('--port', '-p', default=None, help='Port number to bind')
@click.option(
'--pdb',
is_flag=True,
help='Enable runtime debug mode ',
)
@click.option(
'--maddr',
'-m',
default=None,
multiple=True,
help='Multiaddr to bind',
)
@click.option(
'--regaddr',
'-r',
default=None,
help='Registrar addr to contact',
)
@click.pass_context
def cli(
ctx: click.Context,
@ -146,8 +251,11 @@ def cli(
loglevel: str,
tl: bool,
configdir: str,
host: str,
port: int,
pdb: bool,
# TODO: make these list[str] with multiple -m maddr0 -m maddr1
maddr: list[str],
regaddr: str,
) -> None:
if configdir is not None:
@ -168,12 +276,20 @@ def cli(
}
assert brokermods
reg_addr: None | tuple[str, int] = None
if host or port:
reg_addr = (
host or _default_registry_host,
int(port) or _default_registry_port,
)
# TODO: load endpoints from `conf::[network].pikerd`
# - pikerd vs. regd, separate registry daemon?
# - expose datad vs. brokerd?
# - bind emsd with certain perms on public iface?
regaddrs: list[tuple[str, int]] = regaddr or [(
_default_registry_host,
_default_registry_port,
)]
# TODO: factor [network] section parsing out from pikerd
# above and call it here as well.
# if maddr:
# for addr in maddr:
# layers: dict = parse_maddr(addr)
ctx.obj.update({
'brokers': brokers,
@ -183,7 +299,12 @@ def cli(
'log': get_console_log(loglevel),
'confdir': config._config_dir,
'wl_path': config._watchlists_data_path,
'registry_addr': reg_addr,
'registry_addrs': regaddrs,
'pdb': pdb, # debug mode flag
# TODO: endpoint parsing, pinging and binding
# on no existing server.
# 'maddrs': maddr,
})
# allow enabling same loglevel in ``tractor`` machinery
@ -230,7 +351,7 @@ def services(config, tl, ports):
def _load_clis() -> None:
from ..service import elastic # noqa
# from ..service import elastic # noqa
from ..brokers import cli # noqa
from ..ui import cli # noqa
from ..watchlists import cli # noqa

View File

@ -104,14 +104,15 @@ def get_app_dir(
# `tractor`) with the testing dir and check for it whenever we
# detect `pytest` is being used (which it isn't under normal
# operation).
if "pytest" in sys.modules:
import tractor
actor = tractor.current_actor(err_on_no_runtime=False)
if actor: # runtime is up
rvs = tractor._state._runtime_vars
testdirpath = Path(rvs['piker_vars']['piker_test_dir'])
assert testdirpath.exists(), 'piker test harness might be borked!?'
app_name = str(testdirpath)
# if "pytest" in sys.modules:
# import tractor
# actor = tractor.current_actor(err_on_no_runtime=False)
# if actor: # runtime is up
# rvs = tractor._state._runtime_vars
# import pdbp; pdbp.set_trace()
# testdirpath = Path(rvs['piker_vars']['piker_test_dir'])
# assert testdirpath.exists(), 'piker test harness might be borked!?'
# app_name = str(testdirpath)
if platform.system() == 'Windows':
key = "APPDATA" if roaming else "LOCALAPPDATA"
@ -134,14 +135,19 @@ def get_app_dir(
_click_config_dir: Path = Path(get_app_dir('piker'))
_config_dir: Path = _click_config_dir
_parent_user: str = os.environ.get('SUDO_USER')
if _parent_user:
# NOTE: when using `sudo` we attempt to determine the non-root user
# and still use their normal config dir.
if (
(_parent_user := os.environ.get('SUDO_USER'))
and
_parent_user != 'root'
):
non_root_user_dir = Path(
os.path.expanduser(f'~{_parent_user}')
)
root: str = 'root'
_ccds: str = str(_click_config_dir) # click config dir string
_ccds: str = str(_click_config_dir) # click config dir as string
i_tail: int = int(_ccds.rfind(root) + len(root))
_config_dir = (
non_root_user_dir
@ -246,7 +252,8 @@ def repodir() -> Path:
def load(
conf_name: str = 'brokers', # appended with .toml suffix
# NOTE: always appended with .toml suffix
conf_name: str = 'conf',
path: Path | None = None,
decode: Callable[
@ -357,7 +364,9 @@ def load_accounts(
) -> bidict[str, str | None]:
conf, path = load()
conf, path = load(
conf_name='brokers',
)
accounts = bidict()
for provider_name, section in conf.items():
accounts_section = section.get('accounts')

View File

@ -56,6 +56,7 @@ __all__: list[str] = [
'ShmArray',
'iterticks',
'maybe_open_shm_array',
'match_from_pairs',
'attach_shm_array',
'open_shm_array',
'get_shm_token',

View File

@ -41,6 +41,11 @@ if TYPE_CHECKING:
)
from piker.toolz import Profiler
# default gap between bars: "bar gap multiplier"
# - 0.5 is no overlap between OC arms,
# - 1.0 is full overlap on each neighbor sample
BGM: float = 0.16
class IncrementalFormatter(msgspec.Struct):
'''
@ -513,6 +518,7 @@ class IncrementalFormatter(msgspec.Struct):
class OHLCBarsFmtr(IncrementalFormatter):
x_offset: np.ndarray = np.array([
-0.5,
0,
@ -604,8 +610,9 @@ class OHLCBarsFmtr(IncrementalFormatter):
vr: tuple[int, int],
start: int = 0, # XXX: do we need this?
# 0.5 is no overlap between arms, 1.0 is full overlap
w: float = 0.16,
gap: float = BGM,
) -> tuple[
np.ndarray,
@ -622,7 +629,7 @@ class OHLCBarsFmtr(IncrementalFormatter):
array[:-1],
start,
bar_w=self.index_step_size,
bar_gap=w * self.index_step_size,
bar_gap=gap * self.index_step_size,
# XXX: don't ask, due to a ``numba`` bug..
use_time_index=(self.index_field == 'time'),

View File

@ -33,6 +33,11 @@ from typing import (
)
import tractor
from tractor import (
Context,
MsgStream,
Channel,
)
from tractor.trionics import (
maybe_open_nursery,
)
@ -53,7 +58,10 @@ if TYPE_CHECKING:
from ._sharedmem import (
ShmArray,
)
from .feed import _FeedsBus
from .feed import (
_FeedsBus,
Sub,
)
# highest frequency sample step is 1 second by default, though in
@ -94,7 +102,7 @@ class Sampler:
float,
list[
float,
set[tractor.MsgStream]
set[MsgStream]
],
] = defaultdict(
lambda: [
@ -258,8 +266,8 @@ class Sampler:
f'broadcasting {period_s} -> {last_ts}\n'
# f'consumers: {subs}'
)
borked: set[tractor.MsgStream] = set()
sent: set[tractor.MsgStream] = set()
borked: set[MsgStream] = set()
sent: set[MsgStream] = set()
while True:
try:
for stream in (subs - sent):
@ -314,7 +322,7 @@ class Sampler:
@tractor.context
async def register_with_sampler(
ctx: tractor.Context,
ctx: Context,
period_s: float,
shms_by_period: dict[float, dict] | None = None,
@ -649,12 +657,7 @@ async def sample_and_broadcast(
# eventually block this producer end of the feed and
# thus other consumers still attached.
sub_key: str = broker_symbol.lower()
subs: list[
tuple[
tractor.MsgStream | trio.MemorySendChannel,
float | None, # tick throttle in Hz
]
] = bus.get_subs(sub_key)
subs: set[Sub] = bus.get_subs(sub_key)
# NOTE: by default the broker backend doesn't append
# it's own "name" into the fqme schema (but maybe it
@ -663,34 +666,40 @@ async def sample_and_broadcast(
fqme: str = f'{broker_symbol}.{brokername}'
lags: int = 0
# TODO: speed up this loop in an AOT compiled lang (like
# rust or nim or zig) and/or instead of doing a fan out to
# TCP sockets here, we add a shm-style tick queue which
# readers can pull from instead of placing the burden of
# broadcast on solely on this `brokerd` actor. see issues:
# XXX TODO XXX: speed up this loop in an AOT compiled
# lang (like rust or nim or zig)!
# AND/OR instead of doing a fan out to TCP sockets
# here, we add a shm-style tick queue which readers can
# pull from instead of placing the burden of broadcast
# on solely on this `brokerd` actor. see issues:
# - https://github.com/pikers/piker/issues/98
# - https://github.com/pikers/piker/issues/107
for (stream, tick_throttle) in subs.copy():
# for (stream, tick_throttle) in subs.copy():
for sub in subs.copy():
ipc: MsgStream = sub.ipc
throttle: float = sub.throttle_rate
try:
with trio.move_on_after(0.2) as cs:
if tick_throttle:
if throttle:
send_chan: trio.abc.SendChannel = sub.send_chan
# this is a send mem chan that likely
# pushes to the ``uniform_rate_send()`` below.
try:
stream.send_nowait(
send_chan.send_nowait(
(fqme, quote)
)
except trio.WouldBlock:
overruns[sub_key] += 1
ctx = stream._ctx
chan = ctx.chan
ctx: Context = ipc._ctx
chan: Channel = ctx.chan
log.warning(
f'Feed OVERRUN {sub_key}'
'@{bus.brokername} -> \n'
f'feed @ {chan.uid}\n'
f'throttle = {tick_throttle} Hz'
f'throttle = {throttle} Hz'
)
if overruns[sub_key] > 6:
@ -707,10 +716,10 @@ async def sample_and_broadcast(
f'{sub_key}:'
f'{ctx.cid}@{chan.uid}'
)
await stream.aclose()
await ipc.aclose()
raise trio.BrokenResourceError
else:
await stream.send(
await ipc.send(
{fqme: quote}
)
@ -724,16 +733,16 @@ async def sample_and_broadcast(
trio.ClosedResourceError,
trio.EndOfChannel,
):
ctx = stream._ctx
chan = ctx.chan
ctx: Context = ipc._ctx
chan: Channel = ctx.chan
if ctx:
log.warning(
'Dropped `brokerd`-quotes-feed connection:\n'
f'{broker_symbol}:'
f'{ctx.cid}@{chan.uid}'
)
if tick_throttle:
assert stream._closed
if sub.throttle_rate:
assert ipc._closed
# XXX: do we need to deregister here
# if it's done in the fee bus code?
@ -742,7 +751,7 @@ async def sample_and_broadcast(
# since there seems to be some kinda race..
bus.remove_subs(
sub_key,
{(stream, tick_throttle)},
{sub},
)
@ -750,7 +759,7 @@ async def uniform_rate_send(
rate: float,
quote_stream: trio.abc.ReceiveChannel,
stream: tractor.MsgStream,
stream: MsgStream,
task_status: TaskStatus = trio.TASK_STATUS_IGNORED,

View File

@ -31,6 +31,8 @@ from pathlib import Path
from pprint import pformat
from typing import (
Any,
Sequence,
Hashable,
TYPE_CHECKING,
)
from types import ModuleType
@ -128,8 +130,8 @@ class SymbologyCache(Struct):
- `.get_mkt_pairs()`: returning a table of pair-`Struct`
types, custom defined by the particular backend.
AND, the required `.get_mkt_info()` module-level endpoint which
maps `fqme: str` -> `MktPair`s.
AND, the required `.get_mkt_info()` module-level endpoint
which maps `fqme: str` -> `MktPair`s.
These tables are then used to fill out the `.assets`, `.pairs` and
`.mktmaps` tables on this cache instance, respectively.
@ -500,7 +502,7 @@ def match_from_pairs(
)
# pop and repack pairs in output dict
matched_pairs: dict[str, Pair] = {}
matched_pairs: dict[str, Struct] = {}
for item in matches:
pair_key: str = item[0]
matched_pairs[pair_key] = pairs[pair_key]

View File

@ -1,336 +0,0 @@
# piker: trading gear for hackers
# Copyright (C) 2018-present Tyler Goodlet (in stewardship of pikers)
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU Affero General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU Affero General Public License for more details.
# You should have received a copy of the GNU Affero General Public License
# along with this program. If not, see <https://www.gnu.org/licenses/>.
'''
Financial time series processing utilities usually
pertaining to OHLCV style sampled data.
Routines are generally implemented in either ``numpy`` or
``polars`` B)
'''
from __future__ import annotations
from typing import Literal
from math import (
ceil,
floor,
)
import numpy as np
import polars as pl
from ._sharedmem import ShmArray
from ..toolz.profile import (
Profiler,
pg_profile_enabled,
ms_slower_then,
)
def slice_from_time(
arr: np.ndarray,
start_t: float,
stop_t: float,
step: float, # sampler period step-diff
) -> slice:
'''
Calculate array indices mapped from a time range and return them in
a slice.
Given an input array with an epoch `'time'` series entry, calculate
the indices which span the time range and return in a slice. Presume
each `'time'` step increment is uniform and when the time stamp
series contains gaps (the uniform presumption is untrue) use
``np.searchsorted()`` binary search to look up the appropriate
index.
'''
profiler = Profiler(
msg='slice_from_time()',
disabled=not pg_profile_enabled(),
ms_threshold=ms_slower_then,
)
times = arr['time']
t_first = floor(times[0])
t_last = ceil(times[-1])
# the greatest index we can return which slices to the
# end of the input array.
read_i_max = arr.shape[0]
# compute (presumed) uniform-time-step index offsets
i_start_t = floor(start_t)
read_i_start = floor(((i_start_t - t_first) // step)) - 1
i_stop_t = ceil(stop_t)
# XXX: edge case -> always set stop index to last in array whenever
# the input stop time is detected to be greater then the equiv time
# stamp at that last entry.
if i_stop_t >= t_last:
read_i_stop = read_i_max
else:
read_i_stop = ceil((i_stop_t - t_first) // step) + 1
# always clip outputs to array support
# for read start:
# - never allow a start < the 0 index
# - never allow an end index > the read array len
read_i_start = min(
max(0, read_i_start),
read_i_max - 1,
)
read_i_stop = max(
0,
min(read_i_stop, read_i_max),
)
# check for larger-then-latest calculated index for given start
# time, in which case we do a binary search for the correct index.
# NOTE: this is usually the result of a time series with time gaps
# where it is expected that each index step maps to a uniform step
# in the time stamp series.
t_iv_start = times[read_i_start]
if (
t_iv_start > i_start_t
):
# do a binary search for the best index mapping to ``start_t``
# given we measured an overshoot using the uniform-time-step
# calculation from above.
# TODO: once we start caching these per source-array,
# we can just overwrite ``read_i_start`` directly.
new_read_i_start = np.searchsorted(
times,
i_start_t,
side='left',
)
# TODO: minimize binary search work as much as possible:
# - cache these remap values which compensate for gaps in the
# uniform time step basis where we calc a later start
# index for the given input ``start_t``.
# - can we shorten the input search sequence by heuristic?
# up_to_arith_start = index[:read_i_start]
if (
new_read_i_start <= read_i_start
):
# t_diff = t_iv_start - start_t
# print(
# f"WE'RE CUTTING OUT TIME - STEP:{step}\n"
# f'start_t:{start_t} -> 0index start_t:{t_iv_start}\n'
# f'diff: {t_diff}\n'
# f'REMAPPED START i: {read_i_start} -> {new_read_i_start}\n'
# )
read_i_start = new_read_i_start
t_iv_stop = times[read_i_stop - 1]
if (
t_iv_stop > i_stop_t
):
# t_diff = stop_t - t_iv_stop
# print(
# f"WE'RE CUTTING OUT TIME - STEP:{step}\n"
# f'calced iv stop:{t_iv_stop} -> stop_t:{stop_t}\n'
# f'diff: {t_diff}\n'
# # f'SHOULD REMAP STOP: {read_i_start} -> {new_read_i_start}\n'
# )
new_read_i_stop = np.searchsorted(
times[read_i_start:],
# times,
i_stop_t,
side='right',
)
if (
new_read_i_stop <= read_i_stop
):
read_i_stop = read_i_start + new_read_i_stop + 1
# sanity checks for range size
# samples = (i_stop_t - i_start_t) // step
# index_diff = read_i_stop - read_i_start + 1
# if index_diff > (samples + 3):
# breakpoint()
# read-relative indexes: gives a slice where `shm.array[read_slc]`
# will be the data spanning the input time range `start_t` ->
# `stop_t`
read_slc = slice(
int(read_i_start),
int(read_i_stop),
)
profiler(
'slicing complete'
# f'{start_t} -> {abs_slc.start} | {read_slc.start}\n'
# f'{stop_t} -> {abs_slc.stop} | {read_slc.stop}\n'
)
# NOTE: if caller needs absolute buffer indices they can
# slice the buffer abs index like so:
# index = arr['index']
# abs_indx = index[read_slc]
# abs_slc = slice(
# int(abs_indx[0]),
# int(abs_indx[-1]),
# )
return read_slc
def detect_null_time_gap(
shm: ShmArray,
imargin: int = 1,
) -> tuple[float, float] | None:
'''
Detect if there are any zero-epoch stamped rows in
the presumed 'time' field-column.
Filter to the gap and return a surrounding index range.
NOTE: for now presumes only ONE gap XD
'''
# ensure we read buffer state only once so that ShmArray rt
# circular-buffer updates don't cause a indexing/size mismatch.
array: np.ndarray = shm.array
zero_pred: np.ndarray = array['time'] == 0
zero_t: np.ndarray = array[zero_pred]
if zero_t.size:
istart, iend = zero_t['index'][[0, -1]]
start, end = shm._array['time'][
[istart - imargin, iend + imargin]
]
return (
istart - imargin,
start,
end,
iend + imargin,
)
return None
t_unit: Literal = Literal[
'days',
'hours',
'minutes',
'seconds',
'miliseconds',
'microseconds',
'nanoseconds',
]
def with_dts(
df: pl.DataFrame,
time_col: str = 'time',
) -> pl.DataFrame:
'''
Insert datetime (casted) columns to a (presumably) OHLC sampled
time series with an epoch-time column keyed by ``time_col``.
'''
return df.with_columns([
pl.col(time_col).shift(1).suffix('_prev'),
pl.col(time_col).diff().alias('s_diff'),
pl.from_epoch(pl.col(time_col)).alias('dt'),
]).with_columns([
pl.from_epoch(pl.col(f'{time_col}_prev')).alias('dt_prev'),
pl.col('dt').diff().alias('dt_diff'),
]) #.with_columns(
# pl.col('dt').diff().dt.days().alias('days_dt_diff'),
# )
def detect_time_gaps(
df: pl.DataFrame,
time_col: str = 'time',
# epoch sampling step diff
expect_period: float = 60,
# datetime diff unit and gap value
# crypto mkts
# gap_dt_unit: t_unit = 'minutes',
# gap_thresh: int = 1,
# NOTE: legacy stock mkts have venue operating hours
# and thus gaps normally no more then 1-2 days at
# a time.
# XXX -> must be valid ``polars.Expr.dt.<name>``
# TODO: allow passing in a frame of operating hours
# durations/ranges for faster legit gap checks.
gap_dt_unit: t_unit = 'days',
gap_thresh: int = 1,
) -> pl.DataFrame:
'''
Filter to OHLC datums which contain sample step gaps.
For eg. legacy markets which have venue close gaps and/or
actual missing data segments.
'''
return (
with_dts(df)
.filter(
pl.col('s_diff').abs() > expect_period
)
.filter(
getattr(
pl.col('dt_diff').dt,
gap_dt_unit,
)().abs() > gap_thresh
)
)
def detect_price_gaps(
df: pl.DataFrame,
gt_multiplier: float = 2.,
price_fields: list[str] = ['high', 'low'],
) -> pl.DataFrame:
'''
Detect gaps in clearing price over an OHLC series.
2 types of gaps generally exist; up gaps and down gaps:
- UP gap: when any next sample's lo price is strictly greater
then the current sample's hi price.
- DOWN gap: when any next sample's hi price is strictly
less then the current samples lo price.
'''
# return df.filter(
# pl.col('high') - ) > expect_period,
# ).select([
# pl.dt.datetime(pl.col(time_col).shift(1)).suffix('_previous'),
# pl.all(),
# ]).select([
# pl.all(),
# (pl.col(time_col) - pl.col(f'{time_col}_previous')).alias('diff'),
# ])
...

View File

@ -273,7 +273,7 @@ async def _reconnect_forever(
nobsws._connected.set()
await trio.sleep_forever()
except HandshakeError:
log.exception(f'Retrying connection')
log.exception('Retrying connection')
# ws & nursery block ends
@ -359,8 +359,8 @@ async def open_autorecon_ws(
'''
JSONRPC response-request style machinery for transparent multiplexing of msgs
over a NoBsWs.
JSONRPC response-request style machinery for transparent multiplexing
of msgs over a `NoBsWs`.
'''
@ -377,43 +377,82 @@ async def open_jsonrpc_session(
url: str,
start_id: int = 0,
response_type: type = JSONRPCResult,
request_type: Optional[type] = None,
request_hook: Optional[Callable] = None,
error_hook: Optional[Callable] = None,
msg_recv_timeout: float = float('inf'),
# ^NOTE, since only `deribit` is using this jsonrpc stuff atm
# and options mkts are generally "slow moving"..
#
# FURTHER if we break the underlying ws connection then since we
# don't pass a `fixture` to the task that manages `NoBsWs`, i.e.
# `_reconnect_forever()`, the jsonrpc "transport pipe" get's
# broken and never restored with wtv init sequence is required to
# re-establish a working req-resp session.
) -> Callable[[str, dict], dict]:
'''
Init a json-RPC-over-websocket connection to the provided `url`.
A `json_rpc: Callable[[str, dict], dict` is delivered to the
caller for sending requests and a bg-`trio.Task` handles
processing of response msgs including error reporting/raising in
the parent/caller task.
'''
# NOTE, store all request msgs so we can raise errors on the
# caller side!
req_msgs: dict[int, dict] = {}
async with (
trio.open_nursery() as n,
open_autorecon_ws(url) as ws
trio.open_nursery() as tn,
open_autorecon_ws(
url=url,
msg_recv_timeout=msg_recv_timeout,
) as ws
):
rpc_id: Iterable = count(start_id)
rpc_id: Iterable[int] = count(start_id)
rpc_results: dict[int, dict] = {}
async def json_rpc(method: str, params: dict) -> dict:
async def json_rpc(
method: str,
params: dict,
) -> dict:
'''
perform a json rpc call and wait for the result, raise exception in
case of error field present on response
'''
nonlocal req_msgs
req_id: int = next(rpc_id)
msg = {
'jsonrpc': '2.0',
'id': next(rpc_id),
'id': req_id,
'method': method,
'params': params
}
_id = msg['id']
rpc_results[_id] = {
result = rpc_results[_id] = {
'result': None,
'event': trio.Event()
'error': None,
'event': trio.Event(), # signal caller resp arrived
}
req_msgs[_id] = msg
await ws.send_msg(msg)
# wait for reponse before unblocking requester code
await rpc_results[_id]['event'].wait()
ret = rpc_results[_id]['result']
if (maybe_result := result['result']):
ret = maybe_result
del rpc_results[_id]
del rpc_results[_id]
else:
err = result['error']
raise Exception(
f'JSONRPC request failed\n'
f'req: {msg}\n'
f'resp: {err}\n'
)
if ret.error is not None:
raise Exception(json.dumps(ret.error, indent=4))
@ -428,6 +467,7 @@ async def open_jsonrpc_session(
the server side.
'''
nonlocal req_msgs
async for msg in ws:
match msg:
case {
@ -451,19 +491,28 @@ async def open_jsonrpc_session(
'params': _,
}:
log.debug(f'Recieved\n{msg}')
if request_hook:
await request_hook(request_type(**msg))
case {
'error': error
}:
log.warning(f'Recieved\n{error}')
if error_hook:
await error_hook(response_type(**msg))
# retreive orig request msg, set error
# response in original "result" msg,
# THEN FINALLY set the event to signal caller
# to raise the error in the parent task.
req_id: int = error['id']
req_msg: dict = req_msgs[req_id]
result: dict = rpc_results[req_id]
result['error'] = error
result['event'].set()
log.error(
f'JSONRPC request failed\n'
f'req: {req_msg}\n'
f'resp: {error}\n'
)
case _:
log.warning(f'Unhandled JSON-RPC msg!?\n{msg}')
n.start_soon(recv_task)
tn.start_soon(recv_task)
yield json_rpc
n.cancel_scope.cancel()
tn.cancel_scope.cancel()

View File

@ -28,6 +28,7 @@ module.
from __future__ import annotations
from collections import (
defaultdict,
abc,
)
from contextlib import asynccontextmanager as acm
from functools import partial
@ -36,7 +37,6 @@ from types import ModuleType
from typing import (
Any,
AsyncContextManager,
Optional,
Awaitable,
Sequence,
)
@ -45,10 +45,7 @@ import trio
from trio.abc import ReceiveChannel
from trio_typing import TaskStatus
import tractor
from tractor.trionics import (
maybe_open_context,
gather_contexts,
)
from tractor import trionics
from piker.accounting import (
MktPair,
@ -59,7 +56,6 @@ from piker.brokers import get_brokermod
from piker.service import (
maybe_spawn_brokerd,
)
from piker.ui import _search
from piker.calc import humanize
from ._util import (
log,
@ -70,7 +66,7 @@ from .validate import (
FeedInit,
validate_backend,
)
from .history import (
from ..tsp import (
manage_history,
)
from .ingest import get_ingestormod
@ -80,6 +76,31 @@ from ._sampling import (
)
class Sub(Struct, frozen=True):
'''
A live feed subscription entry.
Contains meta-data on the remote-actor type (in functionality
terms) as well as refs to IPC streams and sampler runtime
params.
'''
ipc: tractor.MsgStream
send_chan: trio.abc.SendChannel | None = None
# tick throttle rate in Hz; determines how live
# quotes/ticks should be downsampled before relay
# to the receiving remote consumer (process).
throttle_rate: float | None = None
_throttle_cs: trio.CancelScope | None = None
# TODO: actually stash comms info for the far end to allow
# `.tsp`, `.fsp` and `.data._sampling` sub-systems to re-render
# the data view as needed via msging with the `._remote_ctl`
# ipc ctx.
rc_ui: bool = False
class _FeedsBus(Struct):
'''
Data feeds broadcaster and persistence management.
@ -104,13 +125,7 @@ class _FeedsBus(Struct):
_subscribers: defaultdict[
str,
set[
tuple[
tractor.MsgStream | trio.MemorySendChannel,
# tractor.Context,
float | None, # tick throttle in Hz
]
]
set[Sub]
] = defaultdict(set)
async def start_task(
@ -125,6 +140,8 @@ class _FeedsBus(Struct):
trio.CancelScope] = trio.TASK_STATUS_IGNORED,
) -> None:
with trio.CancelScope() as cs:
# TODO: shouldn't this be a direct await to avoid
# cancellation contagion to the bus nursery!?!?!
await self.nursery.start(
target,
*args,
@ -142,31 +159,28 @@ class _FeedsBus(Struct):
def get_subs(
self,
key: str,
) -> set[
tuple[
tractor.MsgStream | trio.MemorySendChannel,
float | None, # tick throttle in Hz
]
]:
) -> set[Sub]:
'''
Get the ``set`` of consumer subscription entries for the given key.
'''
return self._subscribers[key]
def subs_items(self) -> abc.ItemsView[str, set[Sub]]:
return self._subscribers.items()
def add_subs(
self,
key: str,
subs: set[tuple[
tractor.MsgStream | trio.MemorySendChannel,
float | None, # tick throttle in Hz
]],
) -> set[tuple]:
subs: set[Sub],
) -> set[Sub]:
'''
Add a ``set`` of consumer subscription entries for the given key.
'''
_subs: set[tuple] = self._subscribers[key]
_subs: set[Sub] = self._subscribers.setdefault(key, set())
_subs.update(subs)
return _subs
@ -331,7 +345,6 @@ async def allocate_persistent_feed(
) = await bus.nursery.start(
manage_history,
mod,
bus,
mkt,
some_data_ready,
feed_is_live,
@ -408,7 +421,13 @@ async def allocate_persistent_feed(
rt_shm.array['time'][1] = ts + 1
elif hist_shm.array.size == 0:
raise RuntimeError(f'History (1m) Shm for {fqme} is empty!?')
for i in range(100):
await trio.sleep(0.1)
if hist_shm.array.size > 0:
break
else:
await tractor.pause()
raise RuntimeError(f'History (1m) Shm for {fqme} is empty!?')
# wait the spawning parent task to register its subscriber
# send-stream entry before we start the sample loop.
@ -438,8 +457,9 @@ async def open_feed_bus(
symbols: list[str], # normally expected to the broker-specific fqme
loglevel: str = 'error',
tick_throttle: Optional[float] = None,
tick_throttle: float | None = None,
start_stream: bool = True,
allow_remote_ctl_ui: bool = False,
) -> dict[
str, # fqme
@ -454,8 +474,12 @@ async def open_feed_bus(
if loglevel is None:
loglevel = tractor.current_actor().loglevel
# XXX: required to propagate ``tractor`` loglevel to piker logging
get_console_log(loglevel or tractor.current_actor().loglevel)
# XXX: required to propagate ``tractor`` loglevel to piker
# logging
get_console_log(
loglevel
or tractor.current_actor().loglevel
)
# local state sanity checks
# TODO: check for any stale shm entries for this symbol
@ -465,7 +489,7 @@ async def open_feed_bus(
assert 'brokerd' in servicename
assert brokername in servicename
bus = get_feed_bus(brokername)
bus: _FeedsBus = get_feed_bus(brokername)
sub_registered = trio.Event()
flumes: dict[str, Flume] = {}
@ -512,10 +536,10 @@ async def open_feed_bus(
# pack for ``.started()`` sync msg
flumes[fqme] = flume
# we use the broker-specific fqme (bs_fqme) for the
# sampler subscription since the backend isn't (yet) expected to
# append it's own name to the fqme, so we filter on keys which
# *do not* include that name (e.g .ib) .
# we use the broker-specific fqme (bs_fqme) for the sampler
# subscription since the backend isn't (yet) expected to
# append it's own name to the fqme, so we filter on keys
# which *do not* include that name (e.g .ib) .
bus._subscribers.setdefault(bs_fqme, set())
# sync feed subscribers with flume handles
@ -554,49 +578,60 @@ async def open_feed_bus(
# that the ``sample_and_broadcast()`` task (spawned inside
# ``allocate_persistent_feed()``) will push real-time quote
# (ticks) to this new consumer.
cs: trio.CancelScope | None = None
send: trio.MemorySendChannel | None = None
if tick_throttle:
flume.throttle_rate = tick_throttle
# open a bg task which receives quotes over a mem chan
# and only pushes them to the target actor-consumer at
# a max ``tick_throttle`` instantaneous rate.
# open a bg task which receives quotes over a mem
# chan and only pushes them to the target
# actor-consumer at a max ``tick_throttle``
# (instantaneous) rate.
send, recv = trio.open_memory_channel(2**10)
cs = await bus.start_task(
# NOTE: the ``.send`` channel here is a swapped-in
# trio mem chan which gets `.send()`-ed by the normal
# sampler task but instead of being sent directly
# over the IPC msg stream it's the throttle task
# does the work of incrementally forwarding to the
# IPC stream at the throttle rate.
cs: trio.CancelScope = await bus.start_task(
uniform_rate_send,
tick_throttle,
recv,
stream,
)
# NOTE: so the ``send`` channel here is actually a swapped
# in trio mem chan which gets pushed by the normal sampler
# task but instead of being sent directly over the IPC msg
# stream it's the throttle task does the work of
# incrementally forwarding to the IPC stream at the throttle
# rate.
send._ctx = ctx # mock internal ``tractor.MsgStream`` ref
sub = (send, tick_throttle)
else:
sub = (stream, tick_throttle)
sub = Sub(
ipc=stream,
send_chan=send,
throttle_rate=tick_throttle,
_throttle_cs=cs,
rc_ui=allow_remote_ctl_ui,
)
# TODO: add an api for this on the bus?
# maybe use the current task-id to key the sub list that's
# added / removed? Or maybe we can add a general
# pause-resume by sub-key api?
bs_fqme = fqme.removesuffix(f'.{brokername}')
local_subs.setdefault(bs_fqme, set()).add(sub)
bus.add_subs(bs_fqme, {sub})
local_subs.setdefault(
bs_fqme,
set()
).add(sub)
bus.add_subs(
bs_fqme,
{sub}
)
# sync caller with all subs registered state
sub_registered.set()
uid = ctx.chan.uid
uid: tuple[str, str] = ctx.chan.uid
try:
# ctrl protocol for start/stop of quote streams based on UI
# state (eg. don't need a stream when a symbol isn't being
# displayed).
# ctrl protocol for start/stop of live quote streams
# based on UI state (eg. don't need a stream when
# a symbol isn't being displayed).
async for msg in stream:
if msg == 'pause':
@ -734,6 +769,7 @@ async def install_brokerd_search(
except trio.EndOfChannel:
return {}
from piker.ui import _search
async with _search.register_symbol_search(
provider_name=brokermod.name,
@ -752,7 +788,7 @@ async def install_brokerd_search(
async def maybe_open_feed(
fqmes: list[str],
loglevel: Optional[str] = None,
loglevel: str | None = None,
**kwargs,
@ -768,7 +804,7 @@ async def maybe_open_feed(
'''
fqme = fqmes[0]
async with maybe_open_context(
async with trionics.maybe_open_context(
acm_func=open_feed,
kwargs={
'fqmes': fqmes,
@ -788,7 +824,7 @@ async def maybe_open_feed(
# add a new broadcast subscription for the quote stream
# if this feed is likely already in use
async with gather_contexts(
async with trionics.gather_contexts(
mngrs=[stream.subscribe() for stream in feed.streams.values()]
) as bstreams:
for bstream, flume in zip(bstreams, feed.flumes.values()):
@ -812,6 +848,8 @@ async def open_feed(
start_stream: bool = True,
tick_throttle: float | None = None, # Hz
allow_remote_ctl_ui: bool = False,
) -> Feed:
'''
Open a "data feed" which provides streamed real-time quotes.
@ -848,7 +886,7 @@ async def open_feed(
)
portals: tuple[tractor.Portal]
async with gather_contexts(
async with trionics.gather_contexts(
brokerd_ctxs,
) as portals:
@ -894,13 +932,19 @@ async def open_feed(
# of these stream open sequences sequentially per
# backend? .. need some thot!
allow_overruns=True,
# NOTE: UI actors (like charts) can allow
# remote control of certain graphics rendering
# capabilities via the
# `.ui._remote_ctl.remote_annotate()` msg loop.
allow_remote_ctl_ui=allow_remote_ctl_ui,
)
)
assert len(feed.mods) == len(feed.portals)
async with (
gather_contexts(bus_ctxs) as ctxs,
trionics.gather_contexts(bus_ctxs) as ctxs,
):
stream_ctxs: list[tractor.MsgStream] = []
for (
@ -942,7 +986,7 @@ async def open_feed(
brokermod: ModuleType
fqmes: list[str]
async with (
gather_contexts(stream_ctxs) as streams,
trionics.gather_contexts(stream_ctxs) as streams,
):
for (
stream,
@ -958,6 +1002,12 @@ async def open_feed(
if brokermod.name == flume.mkt.broker:
flume.stream = stream
assert len(feed.mods) == len(feed.portals) == len(feed.streams)
assert (
len(feed.mods)
==
len(feed.portals)
==
len(feed.streams)
)
yield feed

View File

@ -42,35 +42,15 @@ if TYPE_CHECKING:
from .feed import Feed
# TODO: ideas for further abstractions as per
# https://github.com/pikers/piker/issues/216 and
# https://github.com/pikers/piker/issues/270:
# - a ``Cascade`` would be the minimal "connection" of 2 ``Flumes``
# as per circuit parlance:
# https://en.wikipedia.org/wiki/Two-port_network#Cascade_connection
# - could cover the combination of our `FspAdmin` and the
# backend `.fsp._engine` related machinery to "connect" one flume
# to another?
# - a (financial signal) ``Flow`` would be the a "collection" of such
# minmial cascades. Some engineering based jargon concepts:
# - https://en.wikipedia.org/wiki/Signal_chain
# - https://en.wikipedia.org/wiki/Daisy_chain_(electrical_engineering)
# - https://en.wikipedia.org/wiki/Audio_signal_flow
# - https://en.wikipedia.org/wiki/Digital_signal_processing#Implementation
# - https://en.wikipedia.org/wiki/Dataflow_programming
# - https://en.wikipedia.org/wiki/Signal_programming
# - https://en.wikipedia.org/wiki/Incremental_computing
class Flume(Struct):
'''
Composite reference type which points to all the addressing handles
and other meta-data necessary for the read, measure and management
of a set of real-time updated data flows.
Composite reference type which points to all the addressing
handles and other meta-data necessary for the read, measure and
management of a set of real-time updated data flows.
Can be thought of as a "flow descriptor" or "flow frame" which
describes the high level properties of a set of data flows that can
be used seamlessly across process-memory boundaries.
describes the high level properties of a set of data flows that
can be used seamlessly across process-memory boundaries.
Each instance's sub-components normally includes:
- a msg oriented quote stream provided via an IPC transport
@ -93,6 +73,7 @@ class Flume(Struct):
# private shm refs loaded dynamically from tokens
_hist_shm: ShmArray | None = None
_rt_shm: ShmArray | None = None
_readonly: bool = True
stream: tractor.MsgStream | None = None
izero_hist: int = 0
@ -109,7 +90,7 @@ class Flume(Struct):
if self._rt_shm is None:
self._rt_shm = attach_shm_array(
token=self._rt_shm_token,
readonly=True,
readonly=self._readonly,
)
return self._rt_shm
@ -122,12 +103,10 @@ class Flume(Struct):
'No shm token has been set for the history buffer?'
)
if (
self._hist_shm is None
):
if self._hist_shm is None:
self._hist_shm = attach_shm_array(
token=self._hist_shm_token,
readonly=True,
readonly=self._readonly,
)
return self._hist_shm
@ -146,10 +125,10 @@ class Flume(Struct):
period and ratio between them.
'''
times = self.hist_shm.array['time']
end = pendulum.from_timestamp(times[-1])
start = pendulum.from_timestamp(times[times != times[-1]][-1])
hist_step_size_s = (end - start).seconds
times: np.ndarray = self.hist_shm.array['time']
end: float | int = pendulum.from_timestamp(times[-1])
start: float | int = pendulum.from_timestamp(times[times != times[-1]][-1])
hist_step_size_s: float = (end - start).seconds
times = self.rt_shm.array['time']
end = pendulum.from_timestamp(times[-1])
@ -169,17 +148,25 @@ class Flume(Struct):
msg = self.to_dict()
msg['mkt'] = self.mkt.to_dict()
# can't serialize the stream or feed objects, it's expected
# you'll have a ref to it since this msg should be rxed on
# a stream on whatever far end IPC..
# NOTE: pop all un-msg-serializable fields:
# - `tractor.MsgStream`
# - `Feed`
# - `Shmarray`
# it's expected the `.from_msg()` on the other side
# will get instead some kind of msg-compat version
# that it can load.
msg.pop('stream')
msg.pop('feed')
msg.pop('_rt_shm')
msg.pop('_hist_shm')
return msg
@classmethod
def from_msg(
cls,
msg: dict,
readonly: bool = True,
) -> dict:
'''
@ -190,7 +177,11 @@ class Flume(Struct):
mkt_msg = msg.pop('mkt')
from ..accounting import MktPair # cycle otherwise..
mkt = MktPair.from_msg(mkt_msg)
return cls(mkt=mkt, **msg)
msg |= {'_readonly': readonly}
return cls(
mkt=mkt,
**msg,
)
def get_index(
self,

File diff suppressed because it is too large Load Diff

View File

@ -26,7 +26,10 @@ from ._api import (
maybe_mk_fsp_shm,
Fsp,
)
from ._engine import cascade
from ._engine import (
cascade,
Cascade,
)
from ._volume import (
dolla_vlm,
flow_rates,
@ -35,6 +38,7 @@ from ._volume import (
__all__: list[str] = [
'cascade',
'Cascade',
'maybe_mk_fsp_shm',
'Fsp',
'dolla_vlm',
@ -46,9 +50,12 @@ __all__: list[str] = [
async def latency(
source: 'TickStream[Dict[str, float]]', # noqa
ohlcv: np.ndarray
) -> AsyncIterator[np.ndarray]:
"""Latency measurements, broker to piker.
"""
'''
Latency measurements, broker to piker.
'''
# TODO: do we want to offer yielding this async
# before the rt data connection comes up?

View File

@ -18,13 +18,12 @@
core task logic for processing chains
'''
from dataclasses import dataclass
from __future__ import annotations
from contextlib import asynccontextmanager as acm
from functools import partial
from typing import (
AsyncIterator,
Callable,
Optional,
Union,
)
import numpy as np
@ -33,9 +32,9 @@ from trio_typing import TaskStatus
import tractor
from tractor.msg import NamespacePath
from piker.types import Struct
from ..log import get_logger, get_console_log
from .. import data
from ..data import attach_shm_array
from ..data.feed import (
Flume,
Feed,
@ -56,12 +55,6 @@ from ..toolz import Profiler
log = get_logger(__name__)
@dataclass
class TaskTracker:
complete: trio.Event
cs: trio.CancelScope
async def filter_quotes_by_sym(
sym: str,
@ -82,30 +75,168 @@ async def filter_quotes_by_sym(
if quote:
yield quote
# TODO: unifying the abstractions in this FSP subsys/layer:
# -[ ] move the `.data.flows.Flume` type into this
# module/subsys/pkg?
# -[ ] ideas for further abstractions as per
# - https://github.com/pikers/piker/issues/216,
# - https://github.com/pikers/piker/issues/270:
# - a (financial signal) ``Flow`` would be the a "collection" of such
# minmial cascades. Some engineering based jargon concepts:
# - https://en.wikipedia.org/wiki/Signal_chain
# - https://en.wikipedia.org/wiki/Daisy_chain_(electrical_engineering)
# - https://en.wikipedia.org/wiki/Audio_signal_flow
# - https://en.wikipedia.org/wiki/Digital_signal_processing#Implementation
# - https://en.wikipedia.org/wiki/Dataflow_programming
# - https://en.wikipedia.org/wiki/Signal_programming
# - https://en.wikipedia.org/wiki/Incremental_computing
# - https://en.wikipedia.org/wiki/Signal-flow_graph
# - https://en.wikipedia.org/wiki/Signal-flow_graph#Basic_components
async def fsp_compute(
# -[ ] we probably want to eval THE BELOW design and unify with the
# proto `TaskManager` in the `tractor` dev branch as well as with
# our below idea for `Cascade`:
# - https://github.com/goodboy/tractor/pull/363
class Cascade(Struct):
'''
As per sig-proc engineering parlance, this is a chaining of
`Flume`s, which are themselves collections of "Streams"
implemented currently via `ShmArray`s.
A `Cascade` is be the minimal "connection" of 2 `Flumes`
as per circuit parlance:
https://en.wikipedia.org/wiki/Two-port_network#Cascade_connection
TODO:
-[ ] could cover the combination of our `FspAdmin` and the
backend `.fsp._engine` related machinery to "connect" one flume
to another?
'''
# TODO: make these `Flume`s
src: Flume
dst: Flume
tn: trio.Nursery
fsp: Fsp # UI-side middleware ctl API
# filled during cascade/.bind_func() (fsp_compute) init phases
bind_func: Callable | None = None
complete: trio.Event | None = None
cs: trio.CancelScope | None = None
client_stream: tractor.MsgStream | None = None
async def resync(self) -> int:
# TODO: adopt an incremental update engine/approach
# where possible here eventually!
log.info(f're-syncing fsp {self.fsp.name} to source')
self.cs.cancel()
await self.complete.wait()
index: int = await self.tn.start(self.bind_func)
# always trigger UI refresh after history update,
# see ``piker.ui._fsp.FspAdmin.open_chain()`` and
# ``piker.ui._display.trigger_update()``.
dst_shm: ShmArray = self.dst.rt_shm
await self.client_stream.send({
'fsp_update': {
'key': dst_shm.token,
'first': dst_shm._first.value,
'last': dst_shm._last.value,
}
})
return index
def is_synced(self) -> tuple[bool, int, int]:
'''
Predicate to dertmine if a destination FSP
output array is aligned to its source array.
'''
src_shm: ShmArray = self.src.rt_shm
dst_shm: ShmArray = self.dst.rt_shm
step_diff = src_shm.index - dst_shm.index
len_diff = abs(len(src_shm.array) - len(dst_shm.array))
synced: bool = not (
# the source is likely backfilling and we must
# sync history calculations
len_diff > 2
# we aren't step synced to the source and may be
# leading/lagging by a step
or step_diff > 1
or step_diff < 0
)
if not synced:
fsp: Fsp = self.fsp
log.warning(
'***DESYNCED FSP***\n'
f'{fsp.ns_path}@{src_shm.token}\n'
f'step_diff: {step_diff}\n'
f'len_diff: {len_diff}\n'
)
return (
synced,
step_diff,
len_diff,
)
async def poll_and_sync_to_step(self) -> int:
synced, step_diff, _ = self.is_synced()
while not synced:
await self.resync()
synced, step_diff, _ = self.is_synced()
return step_diff
@acm
async def open_edge(
self,
bind_func: Callable,
) -> int:
self.bind_func = bind_func
index = await self.tn.start(bind_func)
yield index
# TODO: what do we want on teardown/error?
# -[ ] dynamic reconnection after update?
async def connect_streams(
casc: Cascade,
mkt: MktPair,
flume: Flume,
quote_stream: trio.abc.ReceiveChannel,
src: Flume,
dst: Flume,
src: ShmArray,
dst: ShmArray,
func: Callable,
edge_func: Callable,
# attach_stream: bool = False,
task_status: TaskStatus[None] = trio.TASK_STATUS_IGNORED,
) -> None:
'''
Stream and per-sample compute and write the cascade of
2 `Flumes`/streams given some operating `func`.
https://en.wikipedia.org/wiki/Signal-flow_graph#Basic_components
Not literally, but something like:
edge_func(Flume_in) -> Flume_out
'''
profiler = Profiler(
delayed=False,
disabled=True
)
fqme = mkt.fqme
out_stream = func(
# TODO: just pull it from src.mkt.fqme no?
# fqme: str = mkt.fqme
fqme: str = src.mkt.fqme
# TODO: dynamic introspection of what the underlying (vertex)
# function actually requires from input node (flumes) then
# deliver those inputs as part of a graph "compilation" step?
out_stream = edge_func(
# TODO: do we even need this if we do the feed api right?
# shouldn't a local stream do this before we get a handle
@ -113,20 +244,21 @@ async def fsp_compute(
# async itertools style?
filter_quotes_by_sym(fqme, quote_stream),
# XXX: currently the ``ohlcv`` arg
flume.rt_shm,
# XXX: currently the ``ohlcv`` arg, but we should allow
# (dynamic) requests for src flume (node) streams?
src.rt_shm,
)
# HISTORY COMPUTE PHASE
# conduct a single iteration of fsp with historical bars input
# and get historical output.
history_output: Union[
dict[str, np.ndarray], # multi-output case
np.ndarray, # single output case
]
history_output: (
dict[str, np.ndarray] # multi-output case
| np.ndarray, # single output case
)
history_output = await anext(out_stream)
func_name = func.__name__
func_name = edge_func.__name__
profiler(f'{func_name} generated history')
# build struct array with an 'index' field to push as history
@ -134,10 +266,12 @@ async def fsp_compute(
# TODO: push using a[['f0', 'f1', .., 'fn']] = .. syntax no?
# if the output array is multi-field then push
# each respective field.
fields = getattr(dst.array.dtype, 'fields', None).copy()
dst_shm: ShmArray = dst.rt_shm
fields = getattr(dst_shm.array.dtype, 'fields', None).copy()
fields.pop('index')
history_by_field: Optional[np.ndarray] = None
src_time = src.array['time']
history_by_field: np.ndarray | None = None
src_shm: ShmArray = src.rt_shm
src_time = src_shm.array['time']
if (
fields and
@ -156,7 +290,7 @@ async def fsp_compute(
if history_by_field is None:
if output is None:
length = len(src.array)
length = len(src_shm.array)
else:
length = len(output)
@ -165,7 +299,7 @@ async def fsp_compute(
# will be pushed to shm.
history_by_field = np.zeros(
length,
dtype=dst.array.dtype
dtype=dst_shm.array.dtype
)
if output is None:
@ -182,13 +316,13 @@ async def fsp_compute(
)
history_by_field = np.zeros(
len(history_output),
dtype=dst.array.dtype
dtype=dst_shm.array.dtype
)
history_by_field[func_name] = history_output
history_by_field['time'] = src_time[-len(history_by_field):]
history_output['time'] = src.array['time']
history_output['time'] = src_shm.array['time']
# TODO: XXX:
# THERE'S A BIG BUG HERE WITH THE `index` field since we're
@ -201,11 +335,11 @@ async def fsp_compute(
# is `index` aware such that historical data can be indexed
# relative to the true first datum? Not sure if this is sane
# for incremental compuations.
first = dst._first.value = src._first.value
first = dst_shm._first.value = src_shm._first.value
# TODO: can we use this `start` flag instead of the manual
# setting above?
index = dst.push(
index = dst_shm.push(
history_by_field,
start=first,
)
@ -216,12 +350,9 @@ async def fsp_compute(
# setup a respawn handle
with trio.CancelScope() as cs:
# TODO: might be better to just make a "restart" method where
# the target task is spawned implicitly and then the event is
# set via some higher level api? At that poing we might as well
# be writing a one-cancels-one nursery though right?
tracker = TaskTracker(trio.Event(), cs)
task_status.started((tracker, index))
casc.cs = cs
casc.complete = trio.Event()
task_status.started(index)
profiler(f'{func_name} yield last index')
@ -235,12 +366,12 @@ async def fsp_compute(
log.debug(f"{func_name}: {processed}")
key, output = processed
# dst.array[-1][key] = output
dst.array[[key, 'time']][-1] = (
dst_shm.array[[key, 'time']][-1] = (
output,
# TODO: what about pushing ``time.time_ns()``
# in which case we'll need to round at the graphics
# processing / sampling layer?
src.array[-1]['time']
src_shm.array[-1]['time']
)
# NOTE: for now we aren't streaming this to the consumer
@ -252,7 +383,7 @@ async def fsp_compute(
# N-consumers who subscribe for the real-time output,
# which we'll likely want to implement using local-mem
# chans for the fan out?
# index = src.index
# index = src_shm.index
# if attach_stream:
# await client_stream.send(index)
@ -262,7 +393,7 @@ async def fsp_compute(
# log.info(f'FSP quote too fast: {hz}')
# last = time.time()
finally:
tracker.complete.set()
casc.complete.set()
@tractor.context
@ -273,15 +404,15 @@ async def cascade(
# data feed key
fqme: str,
src_shm_token: dict,
dst_shm_token: tuple[str, np.dtype],
# flume pair cascaded using an "edge function"
src_flume_addr: dict,
dst_flume_addr: dict,
ns_path: NamespacePath,
shm_registry: dict[str, _Token],
zero_on_step: bool = False,
loglevel: Optional[str] = None,
loglevel: str | None = None,
) -> None:
'''
@ -297,8 +428,14 @@ async def cascade(
if loglevel:
get_console_log(loglevel)
src = attach_shm_array(token=src_shm_token)
dst = attach_shm_array(readonly=False, token=dst_shm_token)
src: Flume = Flume.from_msg(src_flume_addr)
dst: Flume = Flume.from_msg(
dst_flume_addr,
readonly=False,
)
# src: ShmArray = attach_shm_array(token=src_shm_token)
# dst: ShmArray = attach_shm_array(readonly=False, token=dst_shm_token)
reg = _load_builtins()
lines = '\n'.join([f'{key.rpartition(":")[2]} => {key}' for key in reg])
@ -306,11 +443,11 @@ async def cascade(
f'Registered FSP set:\n{lines}'
)
# update actorlocal flows table which registers
# readonly "instances" of this fsp for symbol/source
# so that consumer fsps can look it up by source + fsp.
# TODO: ugh i hate this wind/unwind to list over the wire
# but not sure how else to do it.
# NOTE XXX: update actorlocal flows table which registers
# readonly "instances" of this fsp for symbol/source so that
# consumer fsps can look it up by source + fsp.
# TODO: ugh i hate this wind/unwind to list over the wire but
# not sure how else to do it.
for (token, fsp_name, dst_token) in shm_registry:
Fsp._flow_registry[(
_Token.from_msg(token),
@ -320,12 +457,15 @@ async def cascade(
fsp: Fsp = reg.get(
NamespacePath(ns_path)
)
func = fsp.func
func: Callable = fsp.func
if not func:
# TODO: assume it's a func target path
raise ValueError(f'Unknown fsp target: {ns_path}')
_fqme: str = src.mkt.fqme
assert _fqme == fqme
# open a data feed stream with requested broker
feed: Feed
async with data.feed.maybe_open_feed(
@ -339,177 +479,142 @@ async def cascade(
) as feed:
flume = feed.flumes[fqme]
mkt = flume.mkt
assert src.token == flume.rt_shm.token
flume: Flume = feed.flumes[fqme]
# XXX: can't do this since flume.feed will be set XD
# assert flume == src
assert flume.mkt == src.mkt
mkt: MktPair = flume.mkt
# NOTE: FOR NOW, sanity checks around the feed as being
# always the src flume (until we get to fancier/lengthier
# chains/graphs.
assert src.rt_shm.token == flume.rt_shm.token
# XXX: won't work bc the _hist_shm_token value will be
# list[list] after IPC..
# assert flume.to_msg() == src_flume_addr
profiler(f'{func}: feed up')
func_name = func.__name__
func_name: str = func.__name__
async with (
trio.open_nursery() as n,
trio.open_nursery() as tn,
):
# TODO: might be better to just make a "restart" method where
# the target task is spawned implicitly and then the event is
# set via some higher level api? At that poing we might as well
# be writing a one-cancels-one nursery though right?
casc = Cascade(
src,
dst,
tn,
fsp,
)
# TODO: this seems like it should be wrapped somewhere?
fsp_target = partial(
fsp_compute,
connect_streams,
casc=casc,
mkt=mkt,
flume=flume,
quote_stream=flume.stream,
# shm
# flumes and shm passthrough
src=src,
dst=dst,
# target
func=func
# chain function which takes src flume input(s)
# and renders dst flume output(s)
edge_func=func
)
async with casc.open_edge(
bind_func=fsp_target,
) as index:
# casc.bind_func = fsp_target
# index = await tn.start(fsp_target)
dst_shm: ShmArray = dst.rt_shm
src_shm: ShmArray = src.rt_shm
tracker, index = await n.start(fsp_target)
if zero_on_step:
last = dst.rt_shm.array[-1:]
zeroed = np.zeros(last.shape, dtype=last.dtype)
if zero_on_step:
last = dst.array[-1:]
zeroed = np.zeros(last.shape, dtype=last.dtype)
profiler(f'{func_name}: fsp up')
profiler(f'{func_name}: fsp up')
# sync to client-side actor
await ctx.started(index)
# sync client
await ctx.started(index)
# XXX: rt stream with client which we MUST
# open here (and keep it open) in order to make
# incremental "updates" as history prepends take
# place.
async with ctx.open_stream() as client_stream:
casc.client_stream: tractor.MsgStream = client_stream
# XXX: rt stream with client which we MUST
# open here (and keep it open) in order to make
# incremental "updates" as history prepends take
# place.
async with ctx.open_stream() as client_stream:
s, step, ld = casc.is_synced()
# TODO: these likely should all become
# methods of this ``TaskLifetime`` or wtv
# abstraction..
async def resync(
tracker: TaskTracker,
# detect sample period step for subscription to increment
# signal
times = src.rt_shm.array['time']
if len(times) > 1:
last_ts = times[-1]
delay_s: float = float(last_ts - times[times != last_ts][-1])
else:
# our default "HFT" sample rate.
delay_s: float = _default_delay_s
) -> tuple[TaskTracker, int]:
# TODO: adopt an incremental update engine/approach
# where possible here eventually!
log.info(f're-syncing fsp {func_name} to source')
tracker.cs.cancel()
await tracker.complete.wait()
tracker, index = await n.start(fsp_target)
# sub and increment the underlying shared memory buffer
# on every step msg received from the global `samplerd`
# service.
async with open_sample_stream(
float(delay_s)
) as istream:
# always trigger UI refresh after history update,
# see ``piker.ui._fsp.FspAdmin.open_chain()`` and
# ``piker.ui._display.trigger_update()``.
await client_stream.send({
'fsp_update': {
'key': dst_shm_token,
'first': dst._first.value,
'last': dst._last.value,
}
})
return tracker, index
profiler(f'{func_name}: sample stream up')
profiler.finish()
def is_synced(
src: ShmArray,
dst: ShmArray
) -> tuple[bool, int, int]:
'''
Predicate to dertmine if a destination FSP
output array is aligned to its source array.
async for i in istream:
# print(f'FSP incrementing {i}')
'''
step_diff = src.index - dst.index
len_diff = abs(len(src.array) - len(dst.array))
return not (
# the source is likely backfilling and we must
# sync history calculations
len_diff > 2
# respawn the compute task if the source
# array has been updated such that we compute
# new history from the (prepended) source.
synced, step_diff, _ = casc.is_synced()
if not synced:
step_diff: int = await casc.poll_and_sync_to_step()
# we aren't step synced to the source and may be
# leading/lagging by a step
or step_diff > 1
or step_diff < 0
), step_diff, len_diff
# skip adding a last bar since we should already
# be step alinged
if step_diff == 0:
continue
async def poll_and_sync_to_step(
tracker: TaskTracker,
src: ShmArray,
dst: ShmArray,
# read out last shm row, copy and write new row
array = dst_shm.array
) -> tuple[TaskTracker, int]:
# some metrics like vlm should be reset
# to zero every step.
if zero_on_step:
last = zeroed
else:
last = array[-1:].copy()
synced, step_diff, _ = is_synced(src, dst)
while not synced:
tracker, index = await resync(tracker)
synced, step_diff, _ = is_synced(src, dst)
dst.rt_shm.push(last)
return tracker, step_diff
# sync with source buffer's time step
src_l2 = src_shm.array[-2:]
src_li, src_lt = src_l2[-1][['index', 'time']]
src_2li, src_2lt = src_l2[-2][['index', 'time']]
dst_shm._array['time'][src_li] = src_lt
dst_shm._array['time'][src_2li] = src_2lt
s, step, ld = is_synced(src, dst)
# detect sample period step for subscription to increment
# signal
times = src.array['time']
if len(times) > 1:
last_ts = times[-1]
delay_s = float(last_ts - times[times != last_ts][-1])
else:
# our default "HFT" sample rate.
delay_s = _default_delay_s
# sub and increment the underlying shared memory buffer
# on every step msg received from the global `samplerd`
# service.
async with open_sample_stream(float(delay_s)) as istream:
profiler(f'{func_name}: sample stream up')
profiler.finish()
async for i in istream:
# print(f'FSP incrementing {i}')
# respawn the compute task if the source
# array has been updated such that we compute
# new history from the (prepended) source.
synced, step_diff, _ = is_synced(src, dst)
if not synced:
tracker, step_diff = await poll_and_sync_to_step(
tracker,
src,
dst,
)
# skip adding a last bar since we should already
# be step alinged
if step_diff == 0:
continue
# read out last shm row, copy and write new row
array = dst.array
# some metrics like vlm should be reset
# to zero every step.
if zero_on_step:
last = zeroed
else:
last = array[-1:].copy()
dst.push(last)
# sync with source buffer's time step
src_l2 = src.array[-2:]
src_li, src_lt = src_l2[-1][['index', 'time']]
src_2li, src_2lt = src_l2[-2][['index', 'time']]
dst._array['time'][src_li] = src_lt
dst._array['time'][src_2li] = src_2lt
# last2 = dst.array[-2:]
# if (
# last2[-1]['index'] != src_li
# or last2[-2]['index'] != src_2li
# ):
# dstl2 = list(last2)
# srcl2 = list(src_l2)
# print(
# # f'{dst.token}\n'
# f'src: {srcl2}\n'
# f'dst: {dstl2}\n'
# )
# last2 = dst.array[-2:]
# if (
# last2[-1]['index'] != src_li
# or last2[-2]['index'] != src_2li
# ):
# dstl2 = list(last2)
# srcl2 = list(src_l2)
# print(
# # f'{dst.token}\n'
# f'src: {srcl2}\n'
# f'dst: {dstl2}\n'
# )

View File

@ -14,49 +14,45 @@
# You should have received a copy of the GNU Affero General Public License
# along with this program. If not, see <https://www.gnu.org/licenses/>.
"""
Actor-runtime service orchestration machinery.
'''
Actor runtime primtives and (distributed) service APIs for,
"""
from __future__ import annotations
- daemon-service mgmt: `_daemon` (i.e. low-level spawn and supervise machinery
for sub-actors like `brokerd`, `emsd`, datad`, etc.)
from ._mngr import Services
from ._registry import ( # noqa
_tractor_kwargs,
_default_reg_addr,
_default_registry_host,
_default_registry_port,
open_registry,
find_service,
check_for_service,
- service-actor supervision (via `trio` tasks) API: `._mngr`
- discovery interface (via light wrapping around `tractor`'s built-in
prot): `._registry`
- `docker` cntr SC supervision for use with `trio`: `_ahab`
- wrappers for marketstore and elasticsearch dbs
=> TODO: maybe to (re)move elsewhere?
'''
from ._mngr import Services as Services
from ._registry import (
_tractor_kwargs as _tractor_kwargs,
_default_reg_addr as _default_reg_addr,
_default_registry_host as _default_registry_host,
_default_registry_port as _default_registry_port,
open_registry as open_registry,
find_service as find_service,
check_for_service as check_for_service,
)
from ._daemon import ( # noqa
maybe_spawn_daemon,
spawn_emsd,
maybe_open_emsd,
from ._daemon import (
maybe_spawn_daemon as maybe_spawn_daemon,
spawn_emsd as spawn_emsd,
maybe_open_emsd as maybe_open_emsd,
)
from ._actor_runtime import (
open_piker_runtime,
maybe_open_pikerd,
open_pikerd,
get_tractor_runtime_kwargs,
open_piker_runtime as open_piker_runtime,
maybe_open_pikerd as maybe_open_pikerd,
open_pikerd as open_pikerd,
get_runtime_vars as get_runtime_vars,
)
from ..brokers._daemon import (
spawn_brokerd,
maybe_spawn_brokerd,
spawn_brokerd as spawn_brokerd,
maybe_spawn_brokerd as maybe_spawn_brokerd,
)
__all__ = [
'check_for_service',
'Services',
'maybe_spawn_daemon',
'spawn_brokerd',
'maybe_spawn_brokerd',
'spawn_emsd',
'maybe_open_emsd',
'open_piker_runtime',
'maybe_open_pikerd',
'open_pikerd',
'get_tractor_runtime_kwargs',
]

View File

@ -45,7 +45,7 @@ from ._registry import ( # noqa
)
def get_tractor_runtime_kwargs() -> dict[str, Any]:
def get_runtime_vars() -> dict[str, Any]:
'''
Deliver ``tractor`` related runtime variables in a `dict`.
@ -56,6 +56,8 @@ def get_tractor_runtime_kwargs() -> dict[str, Any]:
@acm
async def open_piker_runtime(
name: str,
registry_addrs: list[tuple[str, int]] = [],
enable_modules: list[str] = [],
loglevel: Optional[str] = None,
@ -63,8 +65,6 @@ async def open_piker_runtime(
# for data daemons when running in production.
debug_mode: bool = False,
registry_addr: None | tuple[str, int] = None,
# TODO: once we have `rsyscall` support we will read a config
# and spawn the service tree distributed per that.
start_method: str = 'trio',
@ -74,7 +74,7 @@ async def open_piker_runtime(
) -> tuple[
tractor.Actor,
tuple[str, int],
list[tuple[str, int]],
]:
'''
Start a piker actor who's runtime will automatically sync with
@ -84,21 +84,31 @@ async def open_piker_runtime(
a root actor.
'''
# check for existing runtime, boot it
# if not already running.
try:
# check for existing runtime
actor = tractor.current_actor().uid
actor = tractor.current_actor()
except tractor._exceptions.NoRuntime:
tractor._state._runtime_vars[
'piker_vars'] = tractor_runtime_overrides
'piker_vars'
] = tractor_runtime_overrides
registry_addr = registry_addr or _default_reg_addr
# NOTE: if no registrar list passed used the default of just
# setting it as the root actor on localhost.
registry_addrs = (
registry_addrs
or [_default_reg_addr]
)
if ems := tractor_kwargs.pop('enable_modules', None):
# import pdbp; pdbp.set_trace()
enable_modules.extend(ems)
async with (
tractor.open_root_actor(
# passed through to ``open_root_actor``
arbiter_addr=registry_addr,
registry_addrs=registry_addrs,
name=name,
loglevel=loglevel,
debug_mode=debug_mode,
@ -110,24 +120,30 @@ async def open_piker_runtime(
enable_modules=enable_modules,
**tractor_kwargs,
) as _,
) as actor,
open_registry(registry_addr, ensure_exists=False) as addr,
open_registry(
registry_addrs,
ensure_exists=False,
) as addrs,
):
yield (
tractor.current_actor(),
addr,
)
else:
async with open_registry(registry_addr) as addr:
assert actor is tractor.current_actor()
yield (
actor,
addr,
addrs,
)
else:
async with open_registry(
registry_addrs
) as addrs:
yield (
actor,
addrs,
)
_root_dname = 'pikerd'
_root_modules = [
_root_dname: str = 'pikerd'
_root_modules: list[str] = [
__name__,
'piker.service._daemon',
'piker.brokers._daemon',
@ -141,13 +157,13 @@ _root_modules = [
@acm
async def open_pikerd(
registry_addrs: list[tuple[str, int]],
loglevel: str | None = None,
# XXX: you should pretty much never want debug mode
# for data daemons when running in production.
debug_mode: bool = False,
registry_addr: None | tuple[str, int] = None,
**kwargs,
@ -159,29 +175,39 @@ async def open_pikerd(
alive underling services (see below).
'''
# NOTE: for the root daemon we always enable the root
# mod set and we `list.extend()` it into wtv the
# caller requested.
# TODO: make this mod set more strict?
# -[ ] eventually we should be able to avoid
# having the root have more then permissions to spawn other
# specialized daemons I think?
ems: list[str] = kwargs.setdefault('enable_modules', [])
ems.extend(_root_modules)
async with (
open_piker_runtime(
name=_root_dname,
# TODO: eventually we should be able to avoid
# having the root have more then permissions to
# spawn other specialized daemons I think?
enable_modules=_root_modules,
loglevel=loglevel,
debug_mode=debug_mode,
registry_addr=registry_addr,
registry_addrs=registry_addrs,
**kwargs,
) as (root_actor, reg_addr),
) as (
root_actor,
reg_addrs,
),
tractor.open_nursery() as actor_nursery,
trio.open_nursery() as service_nursery,
):
if root_actor.accept_addr != reg_addr:
raise RuntimeError(
f'`pikerd` failed to bind on {reg_addr}!\n'
'Maybe you have another daemon already running?'
)
for addr in reg_addrs:
if addr not in root_actor.accept_addrs:
raise RuntimeError(
f'`pikerd` failed to bind on {addr}!\n'
'Maybe you have another daemon already running?'
)
# assign globally for future daemon/task creation
Services.actor_n = actor_nursery
@ -225,9 +251,9 @@ async def open_pikerd(
@acm
async def maybe_open_pikerd(
loglevel: Optional[str] = None,
registry_addr: None | tuple = None,
registry_addrs: list[tuple[str, int]] | None = None,
loglevel: str | None = None,
**kwargs,
) -> tractor._portal.Portal | ClassVar[Services]:
@ -253,32 +279,51 @@ async def maybe_open_pikerd(
# async with open_portal(chan) as arb_portal:
# yield arb_portal
registry_addrs: list[tuple[str, int]] = (
registry_addrs
or [_default_reg_addr]
)
pikerd_portal: tractor.Portal | None
async with (
open_piker_runtime(
name=query_name,
registry_addr=registry_addr,
registry_addrs=registry_addrs,
loglevel=loglevel,
**kwargs,
) as _,
tractor.find_actor(
_root_dname,
arbiter_sockaddr=registry_addr,
) as portal
) as (actor, addrs),
):
# connect to any existing daemon presuming
# its registry socket was selected.
if (
portal is not None
):
yield portal
if _root_dname in actor.uid:
yield None
return
# NOTE: IFF running in disti mode, try to attach to any
# existing (host-local) `pikerd`.
else:
async with tractor.find_actor(
_root_dname,
registry_addrs=registry_addrs,
only_first=True,
# raise_on_none=True,
) as pikerd_portal:
# connect to any existing remote daemon presuming its
# registry socket was selected.
if pikerd_portal is not None:
# sanity check that we are actually connecting to
# a remote process and not ourselves.
assert actor.uid != pikerd_portal.channel.uid
assert registry_addrs
yield pikerd_portal
return
# presume pikerd role since no daemon could be found at
# configured address
async with open_pikerd(
loglevel=loglevel,
registry_addr=registry_addr,
registry_addrs=registry_addrs,
# passthrough to ``tractor`` init
**kwargs,

View File

@ -15,8 +15,8 @@
# along with this program. If not, see <https://www.gnu.org/licenses/>.
'''
Supervisor for ``docker`` with included async and SC wrapping
to ensure a cancellable container lifetime system.
Supervisor for ``docker`` with included async and SC wrapping to
ensure a cancellable container lifetime system.
'''
from __future__ import annotations

View File

@ -70,7 +70,10 @@ async def maybe_spawn_daemon(
lock = Services.locks[service_name]
await lock.acquire()
async with find_service(service_name) as portal:
async with find_service(
service_name,
registry_addrs=[('127.0.0.1', 6116)],
) as portal:
if portal is not None:
lock.release()
yield portal

View File

@ -27,6 +27,12 @@ from typing import (
import trio
from trio_typing import TaskStatus
import tractor
from tractor import (
current_actor,
ContextCancelled,
Context,
Portal,
)
from ._util import (
log, # sub-sys logger
@ -38,6 +44,8 @@ from ._util import (
# library.
# - wrap a "remote api" wherein you can get a method proxy
# to the pikerd actor for starting services remotely!
# - prolly rename this to ActorServicesNursery since it spawns
# new actors and supervises them to completion?
class Services:
actor_n: tractor._supervise.ActorNursery
@ -47,7 +55,7 @@ class Services:
str,
tuple[
trio.CancelScope,
tractor.Portal,
Portal,
trio.Event,
]
] = {}
@ -57,12 +65,12 @@ class Services:
async def start_service_task(
self,
name: str,
portal: tractor.Portal,
portal: Portal,
target: Callable,
allow_overruns: bool = False,
**ctx_kwargs,
) -> (trio.CancelScope, tractor.Context):
) -> (trio.CancelScope, Context):
'''
Open a context in a service sub-actor, add to a stack
that gets unwound at ``pikerd`` teardown.
@ -101,13 +109,30 @@ class Services:
# wait on any context's return value
# and any final portal result from the
# sub-actor.
ctx_res = await ctx.result()
ctx_res: Any = await ctx.result()
# NOTE: blocks indefinitely until cancelled
# either by error from the target context
# function or by being cancelled here by the
# surrounding cancel scope.
return (await portal.result(), ctx_res)
except ContextCancelled as ctxe:
canceller: tuple[str, str] = ctxe.canceller
our_uid: tuple[str, str] = current_actor().uid
if (
canceller != portal.channel.uid
and
canceller != our_uid
):
log.cancel(
f'Actor-service {name} was remotely cancelled?\n'
f'remote canceller: {canceller}\n'
f'Keeping {our_uid} alive, ignoring sub-actor cancel..\n'
)
else:
raise
finally:
await portal.cancel_actor()

View File

@ -27,6 +27,7 @@ from typing import (
)
import tractor
from tractor import Portal
from ._util import (
log, # sub-sys logger
@ -46,7 +47,9 @@ _registry: Registry | None = None
class Registry:
addr: None | tuple[str, int] = None
# TODO: should this be a set or should we complain
# on duplicates?
addrs: list[tuple[str, int]] = []
# TODO: table of uids to sockaddrs
peers: dict[
@ -60,69 +63,115 @@ _tractor_kwargs: dict[str, Any] = {}
@acm
async def open_registry(
addr: None | tuple[str, int] = None,
addrs: list[tuple[str, int]],
ensure_exists: bool = True,
) -> tuple[str, int]:
) -> list[tuple[str, int]]:
'''
Open the service-actor-discovery registry by returning a set of
tranport socket-addrs to registrar actors which may be
contacted and queried for similar addresses for other
non-registrar actors.
'''
global _tractor_kwargs
actor = tractor.current_actor()
uid = actor.uid
preset_reg_addrs: list[tuple[str, int]] = Registry.addrs
if (
Registry.addr is not None
and addr
preset_reg_addrs
and addrs
):
raise RuntimeError(
f'`{uid}` registry addr already bound @ {_registry.sockaddr}'
)
if preset_reg_addrs != addrs:
# if any(addr in preset_reg_addrs for addr in addrs):
diff: set[tuple[str, int]] = set(preset_reg_addrs) - set(addrs)
if diff:
log.warning(
f'`{uid}` requested only subset of registrars: {addrs}\n'
f'However there are more @{diff}'
)
else:
raise RuntimeError(
f'`{uid}` has non-matching registrar addresses?\n'
f'request: {addrs}\n'
f'already set: {preset_reg_addrs}'
)
was_set: bool = False
if (
not tractor.is_root_process()
and Registry.addr is None
and not Registry.addrs
):
Registry.addr = actor._arb_addr
Registry.addrs.extend(actor.reg_addrs)
if (
ensure_exists
and Registry.addr is None
and not Registry.addrs
):
raise RuntimeError(
f"`{uid}` registry should already exist bug doesn't?"
f"`{uid}` registry should already exist but doesn't?"
)
if (
Registry.addr is None
not Registry.addrs
):
was_set = True
Registry.addr = addr or _default_reg_addr
Registry.addrs = addrs or [_default_reg_addr]
_tractor_kwargs['arbiter_addr'] = Registry.addr
# NOTE: only spot this seems currently used is inside
# `.ui._exec` which is the (eventual qtloops) bootstrapping
# with guest mode.
_tractor_kwargs['registry_addrs'] = Registry.addrs
try:
yield Registry.addr
yield Registry.addrs
finally:
# XXX: always clear the global addr if we set it so that the
# next (set of) calls will apply whatever new one is passed
# in.
if was_set:
Registry.addr = None
Registry.addrs = None
@acm
async def find_service(
service_name: str,
) -> tractor.Portal | None:
registry_addrs: list[tuple[str, int]] | None = None,
async with open_registry() as reg_addr:
first_only: bool = True,
) -> (
Portal
| list[Portal]
| None
):
reg_addrs: list[tuple[str, int]]
async with open_registry(
addrs=(
registry_addrs
# NOTE: if no addr set is passed assume the registry has
# already been opened and use the previously applied
# startup set.
or Registry.addrs
),
) as reg_addrs:
log.info(f'Scanning for service `{service_name}`')
maybe_portals: list[Portal] | Portal | None
# attach to existing daemon by name if possible
async with tractor.find_actor(
service_name,
arbiter_sockaddr=reg_addr,
) as maybe_portal:
yield maybe_portal
registry_addrs=reg_addrs,
only_first=first_only, # if set only returns single ref
) as maybe_portals:
if not maybe_portals:
yield None
return
yield maybe_portals
async def check_for_service(
@ -133,9 +182,11 @@ async def check_for_service(
Service daemon "liveness" predicate.
'''
async with open_registry(ensure_exists=False) as reg_addr:
async with tractor.query_actor(
async with (
open_registry(ensure_exists=False) as reg_addr,
tractor.query_actor(
service_name,
arbiter_sockaddr=reg_addr,
) as sockaddr:
return sockaddr
) as sockaddr,
):
return sockaddr

View File

@ -139,6 +139,13 @@ class StorageClient(
...
class TimeseriesNotFound(Exception):
'''
No timeseries entry can be found for this backend.
'''
class StorageConnectionError(ConnectionError):
'''
Can't connect to the desired tsdb subsys/service.
@ -169,10 +176,13 @@ async def open_storage_client(
tsdb_host: str = 'localhost'
# load root config and any tsdb user defined settings
conf, path = config.load('conf', touch_if_dne=True)
conf, path = config.load(
conf_name='conf',
touch_if_dne=True,
)
# TODO: maybe not under a "network" section.. since
# no more chitty mkts..
# no more chitty `marketstore`..
tsdbconf: dict = {}
service_section = conf.get('service')
if (
@ -183,8 +193,11 @@ async def open_storage_client(
# lookup backend tsdb module by name and load any user service
# settings for connecting to the tsdb service.
backend: str = tsdbconf.pop('backend')
tsdb_host: str = tsdbconf['host']
backend: str = tsdbconf.pop(
'name',
def_backend,
)
tsdb_host: str = tsdbconf.get('maddrs', [])
if backend is None:
backend: str = def_backend

View File

@ -1,5 +1,5 @@
# piker: trading gear for hackers
# Copyright (C) 2018-present Tyler Goodlet (in stewardship of piker0)
# Copyright (C) 2018-present Tyler Goodlet (in stewardship of pikers)
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU Affero General Public License as published by
@ -19,10 +19,18 @@ Storage middle-ware CLIs.
"""
from __future__ import annotations
# from datetime import datetime
# from contextlib import (
# AsyncExitStack,
# )
from pathlib import Path
from math import copysign
import time
from typing import Generator
# from typing import TYPE_CHECKING
from types import ModuleType
from typing import (
Any,
TYPE_CHECKING,
)
import polars as pl
import numpy as np
@ -35,24 +43,21 @@ import typer
from piker.service import open_piker_runtime
from piker.cli import cli
from piker.config import get_conf_dir
from piker.data import (
maybe_open_shm_array,
def_iohlcv_fields,
ShmArray,
)
from piker.data.history import (
_default_hist_size,
_default_rt_size,
)
from . import (
log,
)
from piker import tsp
from piker.data._formatters import BGM
from . import log
from . import (
__tsdbs__,
open_storage_client,
StorageClient,
)
if TYPE_CHECKING:
from piker.ui._remote_ctl import AnnotCtl
store = typer.Typer()
@ -98,6 +103,18 @@ def ls(
trio.run(query_all)
# TODO: like ls but takes in a pattern and matches
# @store.command()
# def search(
# patt: str,
# backends: list[str] = typer.Argument(
# default=None,
# help='Storage backends to query, default is all.'
# ),
# ):
# ...
@store.command()
def delete(
symbols: list[str],
@ -140,20 +157,33 @@ def delete(
def anal(
fqme: str,
period: int = 60,
pdb: bool = False,
) -> np.ndarray:
'''
Anal-ysis is when you take the data do stuff to it.
NOTE: This ONLY loads the offline timeseries data (by default
from a parquet file) NOT the in-shm version you might be seeing
in a chart.
'''
async def main():
async with (
open_piker_runtime(
# are you a bear or boi?
'tsdb_polars_anal',
debug_mode=True,
debug_mode=pdb,
),
open_storage_client() as (
mod,
client,
),
open_storage_client() as (mod, client),
):
syms: list[str] = await client.list_keys()
print(f'{len(syms)} FOUND for {mod.name}')
log.info(f'{len(syms)} FOUND for {mod.name}')
history: ShmArray # np buffer format
(
history,
first_dt,
@ -164,179 +194,357 @@ def anal(
)
assert first_dt < last_dt
src_df = await client.as_df(fqme, period)
from piker.data import _timeseries as tsmod
df: pl.DataFrame = tsmod.with_dts(src_df)
gaps: pl.DataFrame = tsmod.detect_time_gaps(df)
null_segs: tuple = tsp.get_null_segs(
frame=history,
period=period,
)
# TODO: do tsp queries to backcend to fill i missing
# history and then prolly write it to tsdb!
if not gaps.is_empty():
print(f'Gaps found:\n{gaps}')
shm_df: pl.DataFrame = await client.as_df(
fqme,
period,
)
# TODO: something better with tab completion..
# is there something more minimal but nearly as
# functional as ipython?
await tractor.pause()
df: pl.DataFrame # with dts
deduped: pl.DataFrame # deduplicated dts
(
df,
deduped,
diff,
) = tsp.dedupe(
shm_df,
period=period,
)
write_edits: bool = True
if (
write_edits
and (
diff
or null_segs
)
):
await tractor.pause()
await client.write_ohlcv(
fqme,
ohlcv=deduped,
timeframe=period,
)
else:
# TODO: something better with tab completion..
# is there something more minimal but nearly as
# functional as ipython?
await tractor.pause()
assert not null_segs
trio.run(main)
def iter_dfs_from_shms(fqme: str) -> Generator[
tuple[Path, ShmArray, pl.DataFrame],
None,
None,
]:
# shm buffer size table based on known sample rates
sizes: dict[str, int] = {
'hist': _default_hist_size,
'rt': _default_rt_size,
}
async def markup_gaps(
fqme: str,
timeframe: float,
actl: AnnotCtl,
wdts: pl.DataFrame,
gaps: pl.DataFrame,
# load all detected shm buffer files which have the
# passed FQME pattern in the file name.
shmfiles: list[Path] = []
shmdir = Path('/dev/shm/')
) -> dict[int, dict]:
'''
Remote annotate time-gaps in a dt-fielded ts (normally OHLC)
with rectangles.
for shmfile in shmdir.glob(f'*{fqme}*'):
filename: str = shmfile.name
'''
aids: dict[int] = {}
for i in range(gaps.height):
# skip index files
if (
'_first' in filename
or '_last' in filename
):
continue
row: pl.DataFrame = gaps[i]
assert shmfile.is_file()
log.debug(f'Found matching shm buffer file: {filename}')
shmfiles.append(shmfile)
# the gap's RIGHT-most bar's OPEN value
# at that time (sample) step.
iend: int = row['index'][0]
# dt: datetime = row['dt'][0]
# dt_prev: datetime = row['dt_prev'][0]
# dt_end_t: float = dt.timestamp()
for shmfile in shmfiles:
# lookup array buffer size based on file suffix
# being either .rt or .hist
key: str = shmfile.name.rsplit('.')[-1]
# TODO: can we eventually remove this
# once we figure out why the epoch cols
# don't match?
# TODO: FIX HOW/WHY these aren't matching
# and are instead off by 4hours (EST
# vs. UTC?!?!)
# end_t: float = row['time']
# assert (
# dt.timestamp()
# ==
# end_t
# )
# skip FSP buffers for now..
if key not in sizes:
continue
size: int = sizes[key]
# attach to any shm buffer, load array into polars df,
# write to local parquet file.
shm, opened = maybe_open_shm_array(
key=shmfile.name,
size=size,
dtype=def_iohlcv_fields,
readonly=True,
# the gap's LEFT-most bar's CLOSE value
# at that time (sample) step.
prev_r: pl.DataFrame = wdts.filter(
pl.col('index') == iend - 1
)
assert not opened
ohlcv = shm.array
# XXX: probably a gap in the (newly sorted or de-duplicated)
# dt-df, so we might need to re-index first..
if prev_r.is_empty():
await tractor.pause()
start = time.time()
istart: int = prev_r['index'][0]
# dt_start_t: float = dt_prev.timestamp()
# XXX: thanks to this SO answer for this conversion tip:
# https://stackoverflow.com/a/72054819
df = pl.DataFrame({
field_name: ohlcv[field_name]
for field_name in ohlcv.dtype.fields
})
delay: float = round(
time.time() - start,
ndigits=6,
# start_t: float = prev_r['time']
# assert (
# dt_start_t
# ==
# start_t
# )
# TODO: implement px-col width measure
# and ensure at least as many px-cols
# shown per rect as configured by user.
# gap_w: float = abs((iend - istart))
# if gap_w < 6:
# margin: float = 6
# iend += margin
# istart -= margin
rect_gap: float = BGM*3/8
opn: float = row['open'][0]
ro: tuple[float, float] = (
# dt_end_t,
iend + rect_gap + 1,
opn,
)
log.info(
f'numpy -> polars conversion took {delay} secs\n'
f'polars df: {df}'
cls: float = prev_r['close'][0]
lc: tuple[float, float] = (
# dt_start_t,
istart - rect_gap, # + 1 ,
cls,
)
yield (
shmfile,
shm,
df,
color: str = 'dad_blue'
diff: float = cls - opn
sgn: float = copysign(1, diff)
color: str = {
-1: 'buy_green',
1: 'sell_red',
}[sgn]
rect_kwargs: dict[str, Any] = dict(
fqme=fqme,
timeframe=timeframe,
start_pos=lc,
end_pos=ro,
color=color,
)
aid: int = await actl.add_rect(**rect_kwargs)
assert aid
aids[aid] = rect_kwargs
# tell chart to redraw all its
# graphics view layers Bo
await actl.redraw(
fqme=fqme,
timeframe=timeframe,
)
return aids
@store.command()
def ldshm(
fqme: str,
write_parquet: bool = False,
write_parquet: bool = True,
reload_parquet_to_shm: bool = True,
) -> None:
'''
Linux ONLY: load any fqme file name matching shm buffer from
/dev/shm/ into an OHLCV numpy array and polars DataFrame,
optionally write to .parquet file.
optionally write to offline storage via `.parquet` file.
'''
async def main():
from piker.ui._remote_ctl import (
open_annot_ctl,
)
actl: AnnotCtl
mod: ModuleType
client: StorageClient
async with (
open_piker_runtime(
'polars_boi',
enable_modules=['piker.data._sharedmem'],
debug_mode=True,
),
open_storage_client() as (
mod,
client,
),
open_annot_ctl() as actl,
):
df: pl.DataFrame | None = None
for shmfile, shm, src_df in iter_dfs_from_shms(fqme):
shm_df: pl.DataFrame | None = None
tf2aids: dict[float, dict] = {}
for (
shmfile,
shm,
# parquet_path,
shm_df,
) in tsp.iter_dfs_from_shms(fqme):
# compute ohlc properties for naming
times: np.ndarray = shm.array['time']
secs: float = times[-1] - times[-2]
if secs < 1.:
d1: float = float(times[-1] - times[-2])
d2: float = float(times[-2] - times[-3])
med: float = np.median(np.diff(times))
if (
d1 < 1.
and d2 < 1.
and med < 1.
):
raise ValueError(
f'Something is wrong with time period for {shm}:\n{times}'
)
from piker.data import _timeseries as tsmod
df: pl.DataFrame = tsmod.with_dts(src_df)
gaps: pl.DataFrame = tsmod.detect_time_gaps(df)
period_s: float = float(max(d1, d2, med))
# TODO: maybe only optionally enter this depending
# on some CLI flags and/or gap detection?
if (
not gaps.is_empty()
or secs > 2
):
null_segs: tuple = tsp.get_null_segs(
frame=shm.array,
period=period_s,
)
# TODO: call null-seg fixer somehow?
if null_segs:
await tractor.pause()
# async with (
# trio.open_nursery() as tn,
# mod.open_history_client(
# mkt,
# ) as (get_hist, config),
# ):
# nulls_detected: trio.Event = await tn.start(partial(
# tsp.maybe_fill_null_segments,
# write to parquet file?
if write_parquet:
timeframe: str = f'{secs}s'
# shm=shm,
# timeframe=timeframe,
# get_hist=get_hist,
# sampler_stream=sampler_stream,
# mkt=mkt,
# ))
datadir: Path = get_conf_dir() / 'nativedb'
if not datadir.is_dir():
datadir.mkdir()
# over-write back to shm?
wdts: pl.DataFrame # with dts
deduped: pl.DataFrame # deduplicated dts
(
wdts,
deduped,
diff,
) = tsp.dedupe(
shm_df,
period=period_s,
)
path: Path = datadir / f'{fqme}.{timeframe}.parquet'
# detect gaps from in expected (uniform OHLC) sample period
step_gaps: pl.DataFrame = tsp.detect_time_gaps(
deduped,
expect_period=period_s,
)
# write to fs
start = time.time()
df.write_parquet(path)
delay: float = round(
time.time() - start,
ndigits=6,
)
log.info(
f'parquet write took {delay} secs\n'
f'file path: {path}'
# TODO: by default we always want to mark these up
# with rects showing up/down gaps Bo
venue_gaps: pl.DataFrame = tsp.detect_time_gaps(
deduped,
expect_period=period_s,
# TODO: actually pull the exact duration
# expected for each venue operational period?
gap_dt_unit='days',
gap_thresh=1,
)
# TODO: find the disjoint set of step gaps from
# venue (closure) set!
# -[ ] do a set diff by checking for the unique
# gap set only in the step_gaps?
if (
not venue_gaps.is_empty()
or (
period_s < 60
and not step_gaps.is_empty()
)
):
# write repaired ts to parquet-file?
if write_parquet:
start: float = time.time()
path: Path = await client.write_ohlcv(
fqme,
ohlcv=deduped,
timeframe=period_s,
)
write_delay: float = round(
time.time() - start,
ndigits=6,
)
# read back from fs
start = time.time()
read_df: pl.DataFrame = pl.read_parquet(path)
delay: float = round(
time.time() - start,
ndigits=6,
)
print(
f'parquet read took {delay} secs\n'
f'polars df: {read_df}'
)
# read back from fs
start: float = time.time()
read_df: pl.DataFrame = pl.read_parquet(path)
read_delay: float = round(
time.time() - start,
ndigits=6,
)
log.info(
f'parquet write took {write_delay} secs\n'
f'file path: {path}'
f'parquet read took {read_delay} secs\n'
f'polars df: {read_df}'
)
if df is None:
log.error(f'No matching shm buffers for {fqme} ?')
if reload_parquet_to_shm:
new = tsp.pl2np(
deduped,
dtype=shm.array.dtype,
)
# since normally readonly
shm._array.setflags(
write=int(1),
)
shm.push(
new,
prepend=True,
start=new['index'][-1],
update_first=False, # don't update ._first
)
do_markup_gaps: bool = True
if do_markup_gaps:
new_df: pl.DataFrame = tsp.np2pl(new)
aids: dict = await markup_gaps(
fqme,
period_s,
actl,
new_df,
step_gaps,
)
# last chance manual overwrites in REPL
# await tractor.pause()
assert aids
tf2aids[period_s] = aids
else:
# allow interaction even when no ts problems.
assert not diff
await tractor.pause()
log.info('Exiting TSP shm anal-izer!')
if shm_df is None:
log.error(
f'No matching shm buffers for {fqme} ?'
)
trio.run(main)

View File

@ -19,7 +19,8 @@
call a poor man's tsdb).
AKA a `piker`-native file-system native "time series database"
without needing an extra process and no standard TSDB features, YET!
without needing an extra process and no standard TSDB features,
YET!
'''
# TODO: like there's soo much..
@ -55,8 +56,6 @@ from datetime import datetime
from pathlib import Path
import time
# from bidict import bidict
# import tractor
import numpy as np
import polars as pl
from pendulum import (
@ -64,45 +63,18 @@ from pendulum import (
)
from piker import config
from piker.data import def_iohlcv_fields
from piker.data import ShmArray
from piker import tsp
from piker.data import (
def_iohlcv_fields,
ShmArray,
)
from piker.log import get_logger
from . import TimeseriesNotFound
log = get_logger('storage.nativedb')
# NOTE: thanks to this SO answer for the below conversion routines
# to go from numpy struct-arrays to polars dataframes and back:
# https://stackoverflow.com/a/72054819
def np2pl(array: np.ndarray) -> pl.DataFrame:
return pl.DataFrame({
field_name: array[field_name]
for field_name in array.dtype.fields
})
def pl2np(
df: pl.DataFrame,
dtype: np.dtype,
) -> np.ndarray:
# Create numpy struct array of the correct size and dtype
# and loop through df columns to fill in array fields.
array = np.empty(
df.height,
dtype,
)
for field, col in zip(
dtype.fields,
df.columns,
):
array[field] = df.get_column(col).to_numpy()
return array
def detect_period(shm: ShmArray) -> float:
'''
Attempt to detect the series time step sampling period
@ -123,16 +95,19 @@ def detect_period(shm: ShmArray) -> float:
def mk_ohlcv_shm_keyed_filepath(
fqme: str,
period: float, # ow known as the "timeframe"
period: float | int, # ow known as the "timeframe"
datadir: Path,
) -> str:
) -> Path:
if period < 1.:
raise ValueError('Sample period should be >= 1.!?')
period_s: str = f'{period}s'
path: Path = datadir / f'{fqme}.ohlcv{period_s}.parquet'
path: Path = (
datadir
/
f'{fqme}.ohlcv{int(period)}s.parquet'
)
return path
@ -186,7 +161,13 @@ class NativeStorageClient:
def index_files(self):
for path in self._datadir.iterdir():
if path.name in {'borked', 'expired',}:
if (
path.is_dir()
or
'.parquet' not in str(path)
# or
# path.name in {'borked', 'expired',}
):
continue
key: str = path.name.rstrip('.parquet')
@ -228,8 +209,21 @@ class NativeStorageClient:
fqme,
timeframe,
)
except FileNotFoundError:
return None
except FileNotFoundError as fnfe:
bs_fqme, _, *_ = fqme.rpartition('.')
possible_matches: list[str] = []
for tskey in self._index:
if bs_fqme in tskey:
possible_matches.append(tskey)
match_str: str = '\n'.join(sorted(possible_matches))
raise TimeseriesNotFound(
f'No entry for `{fqme}`?\n'
f'Maybe you need a more specific fqme-key like:\n\n'
f'{match_str}'
) from fnfe
times = array['time']
return (
@ -242,6 +236,7 @@ class NativeStorageClient:
self,
fqme: str,
period: float,
) -> Path:
return mk_ohlcv_shm_keyed_filepath(
fqme=fqme,
@ -249,6 +244,23 @@ class NativeStorageClient:
datadir=self._datadir,
)
def _cache_df(
self,
fqme: str,
df: pl.DataFrame,
timeframe: float,
) -> None:
# cache df for later usage since we (currently) need to
# convert to np.ndarrays to push to our `ShmArray` rt
# buffers subsys but later we may operate entirely on
# pyarrow arrays/buffers so keeping the dfs around for
# a variety of purposes is handy.
self._dfs.setdefault(
timeframe,
{},
)[fqme] = df
async def read_ohlcv(
self,
fqme: str,
@ -257,13 +269,20 @@ class NativeStorageClient:
# limit: int = int(200e3),
) -> np.ndarray:
path: Path = self.mk_path(fqme, period=int(timeframe))
path: Path = self.mk_path(
fqme,
period=int(timeframe),
)
df: pl.DataFrame = pl.read_parquet(path)
self._dfs.setdefault(timeframe, {})[fqme] = df
self._cache_df(
fqme=fqme,
df=df,
timeframe=timeframe,
)
# TODO: filter by end and limit inputs
# times: pl.Series = df['time']
array: np.ndarray = pl2np(
array: np.ndarray = tsp.pl2np(
df,
dtype=np.dtype(def_iohlcv_fields),
)
@ -273,11 +292,15 @@ class NativeStorageClient:
self,
fqme: str,
period: int = 60,
load_from_offline: bool = True,
) -> pl.DataFrame:
try:
return self._dfs[period][fqme]
except KeyError:
if not load_from_offline:
raise
await self.read_ohlcv(fqme, period)
return self._dfs[period][fqme]
@ -299,32 +322,39 @@ class NativeStorageClient:
datadir=self._datadir,
)
if isinstance(ohlcv, np.ndarray):
df: pl.DataFrame = np2pl(ohlcv)
df: pl.DataFrame = tsp.np2pl(ohlcv)
else:
df = ohlcv
self._cache_df(
fqme=fqme,
df=df,
timeframe=timeframe,
)
# TODO: in terms of managing the ultra long term data
# - use a proper profiler to measure all this IO and
# -[ ] use a proper profiler to measure all this IO and
# roundtripping!
# - try out ``fastparquet``'s append writing:
# https://fastparquet.readthedocs.io/en/latest/api.html#fastparquet.write
# -[ ] implement parquet append!? see issue:
# https://github.com/pikers/piker/issues/536
# -[ ] try out ``fastparquet``'s append writing:
# https://fastparquet.readthedocs.io/en/latest/api.html#fastparquet.write
start = time.time()
df.write_parquet(path)
delay: float = round(
time.time() - start,
ndigits=6,
)
print(
log.info(
f'parquet write took {delay} secs\n'
f'file path: {path}'
)
return path
async def write_ohlcv(
self,
fqme: str,
ohlcv: np.ndarray,
ohlcv: np.ndarray | pl.DataFrame,
timeframe: int,
) -> Path:
@ -376,6 +406,8 @@ class NativeStorageClient:
# ...
# TODO: does this need to be async on average?
# I guess for any IPC connected backend yes?
@acm
async def get_client(
@ -393,7 +425,7 @@ async def get_client(
'''
datadir: Path = config.get_conf_dir() / 'nativedb'
if not datadir.is_dir():
log.info(f'Creating `nativedb` director: {datadir}')
log.info(f'Creating `nativedb` dir: {datadir}')
datadir.mkdir()
client = NativeStorageClient(datadir)

View File

@ -18,24 +18,12 @@
Toolz for debug, profile and trace of the distributed runtime :surfer:
'''
from .debug import (
open_crash_handler,
from tractor.devx import (
open_crash_handler as open_crash_handler,
)
from .profile import (
Profiler,
pg_profile_enabled,
ms_slower_then,
timeit,
Profiler as Profiler,
pg_profile_enabled as pg_profile_enabled,
ms_slower_then as ms_slower_then,
timeit as timeit,
)
# TODO: other mods to include?
# - DROP .trionics, already moved into tractor
# - move in `piker.calc`
__all__: list[str] = [
'open_crash_handler',
'pg_profile_enabled',
'ms_slower_then',
'Profiler',
'timeit',
]

View File

@ -1,40 +0,0 @@
# piker: trading gear for hackers
# Copyright (C) Tyler Goodlet (in stewardship for pikers)
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU Affero General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU Affero General Public License for more details.
# You should have received a copy of the GNU Affero General Public License
# along with this program. If not, see <https://www.gnu.org/licenses/>.
'''
Debugger wrappers for `pdbp` as used by `tractor`.
'''
from contextlib import contextmanager as cm
import pdbp
# TODO: better naming and what additionals?
# - optional runtime plugging?
# - detection for sync vs. async code?
# - specialized REPL entry when in distributed mode?
@cm
def open_crash_handler():
'''
Super basic crash handler using `pdbp` debugger.
'''
try:
yield
except BaseException:
pdbp.xpm()
raise

1449
piker/tsp/__init__.py 100644

File diff suppressed because it is too large Load Diff

746
piker/tsp/_anal.py 100644
View File

@ -0,0 +1,746 @@
# piker: trading gear for hackers
# Copyright (C) 2018-present Tyler Goodlet (in stewardship of pikers)
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU Affero General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU Affero General Public License for more details.
# You should have received a copy of the GNU Affero General Public License
# along with this program. If not, see <https://www.gnu.org/licenses/>.
'''
Financial time series processing utilities usually
pertaining to OHLCV style sampled data.
Routines are generally implemented in either ``numpy`` or
``polars`` B)
'''
from __future__ import annotations
from functools import partial
from math import (
ceil,
floor,
)
import time
from typing import (
Literal,
# AsyncGenerator,
Generator,
)
import numpy as np
import polars as pl
from pendulum import (
DateTime,
from_timestamp,
)
from ..toolz.profile import (
Profiler,
pg_profile_enabled,
ms_slower_then,
)
from ..log import (
get_logger,
get_console_log,
)
# for "time series processing"
subsys: str = 'piker.tsp'
log = get_logger(subsys)
get_console_log = partial(
get_console_log,
name=subsys,
)
# NOTE: union type-defs to handle generic `numpy` and `polars` types
# side-by-side Bo
# |_ TODO: schema spec typing?
# -[ ] nptyping!
# -[ ] wtv we can with polars?
Frame = pl.DataFrame | np.ndarray
Seq = pl.Series | np.ndarray
def slice_from_time(
arr: np.ndarray,
start_t: float,
stop_t: float,
step: float, # sampler period step-diff
) -> slice:
'''
Calculate array indices mapped from a time range and return them in
a slice.
Given an input array with an epoch `'time'` series entry, calculate
the indices which span the time range and return in a slice. Presume
each `'time'` step increment is uniform and when the time stamp
series contains gaps (the uniform presumption is untrue) use
``np.searchsorted()`` binary search to look up the appropriate
index.
'''
profiler = Profiler(
msg='slice_from_time()',
disabled=not pg_profile_enabled(),
ms_threshold=ms_slower_then,
)
times = arr['time']
t_first = floor(times[0])
t_last = ceil(times[-1])
# the greatest index we can return which slices to the
# end of the input array.
read_i_max = arr.shape[0]
# compute (presumed) uniform-time-step index offsets
i_start_t = floor(start_t)
read_i_start = floor(((i_start_t - t_first) // step)) - 1
i_stop_t = ceil(stop_t)
# XXX: edge case -> always set stop index to last in array whenever
# the input stop time is detected to be greater then the equiv time
# stamp at that last entry.
if i_stop_t >= t_last:
read_i_stop = read_i_max
else:
read_i_stop = ceil((i_stop_t - t_first) // step) + 1
# always clip outputs to array support
# for read start:
# - never allow a start < the 0 index
# - never allow an end index > the read array len
read_i_start = min(
max(0, read_i_start),
read_i_max - 1,
)
read_i_stop = max(
0,
min(read_i_stop, read_i_max),
)
# check for larger-then-latest calculated index for given start
# time, in which case we do a binary search for the correct index.
# NOTE: this is usually the result of a time series with time gaps
# where it is expected that each index step maps to a uniform step
# in the time stamp series.
t_iv_start = times[read_i_start]
if (
t_iv_start > i_start_t
):
# do a binary search for the best index mapping to ``start_t``
# given we measured an overshoot using the uniform-time-step
# calculation from above.
# TODO: once we start caching these per source-array,
# we can just overwrite ``read_i_start`` directly.
new_read_i_start = np.searchsorted(
times,
i_start_t,
side='left',
)
# TODO: minimize binary search work as much as possible:
# - cache these remap values which compensate for gaps in the
# uniform time step basis where we calc a later start
# index for the given input ``start_t``.
# - can we shorten the input search sequence by heuristic?
# up_to_arith_start = index[:read_i_start]
if (
new_read_i_start <= read_i_start
):
# t_diff = t_iv_start - start_t
# print(
# f"WE'RE CUTTING OUT TIME - STEP:{step}\n"
# f'start_t:{start_t} -> 0index start_t:{t_iv_start}\n'
# f'diff: {t_diff}\n'
# f'REMAPPED START i: {read_i_start} -> {new_read_i_start}\n'
# )
read_i_start = new_read_i_start
t_iv_stop = times[read_i_stop - 1]
if (
t_iv_stop > i_stop_t
):
# t_diff = stop_t - t_iv_stop
# print(
# f"WE'RE CUTTING OUT TIME - STEP:{step}\n"
# f'calced iv stop:{t_iv_stop} -> stop_t:{stop_t}\n'
# f'diff: {t_diff}\n'
# # f'SHOULD REMAP STOP: {read_i_start} -> {new_read_i_start}\n'
# )
new_read_i_stop = np.searchsorted(
times[read_i_start:],
# times,
i_stop_t,
side='right',
)
if (
new_read_i_stop <= read_i_stop
):
read_i_stop = read_i_start + new_read_i_stop + 1
# sanity checks for range size
# samples = (i_stop_t - i_start_t) // step
# index_diff = read_i_stop - read_i_start + 1
# if index_diff > (samples + 3):
# breakpoint()
# read-relative indexes: gives a slice where `shm.array[read_slc]`
# will be the data spanning the input time range `start_t` ->
# `stop_t`
read_slc = slice(
int(read_i_start),
int(read_i_stop),
)
profiler(
'slicing complete'
# f'{start_t} -> {abs_slc.start} | {read_slc.start}\n'
# f'{stop_t} -> {abs_slc.stop} | {read_slc.stop}\n'
)
# NOTE: if caller needs absolute buffer indices they can
# slice the buffer abs index like so:
# index = arr['index']
# abs_indx = index[read_slc]
# abs_slc = slice(
# int(abs_indx[0]),
# int(abs_indx[-1]),
# )
return read_slc
def get_null_segs(
frame: Frame,
period: float, # sampling step in seconds
imargin: int = 1,
col: str = 'time',
) -> tuple[
# Seq, # TODO: can we make it an array-type instead?
list[
list[int, int],
],
Seq,
Frame
] | None:
'''
Detect if there are any zero(-epoch stamped) valued
rows in for the provided `col: str` column; by default
presume the 'time' field/column.
Filter to all such zero (time) segments and return
the corresponding frame zeroed segment's,
- gap absolute (in buffer terms) indices-endpoints as
`absi_zsegs`
- abs indices of all rows with zeroed `col` values as `absi_zeros`
- the corresponding frame's row-entries (view) which are
zeroed for the `col` as `zero_t`
'''
times: Seq = frame['time']
zero_pred: Seq = (times == 0)
if isinstance(frame, np.ndarray):
tis_zeros: int = zero_pred.any()
else:
tis_zeros: int = zero_pred.any()
if not tis_zeros:
return None
# TODO: use ndarray for this?!
absi_zsegs: list[list[int, int]] = []
if isinstance(frame, np.ndarray):
# view of ONLY the zero segments as one continuous chunk
zero_t: np.ndarray = frame[zero_pred]
# abs indices of said zeroed rows
absi_zeros = zero_t['index']
# diff of abs index steps between each zeroed row
absi_zdiff: np.ndarray = np.diff(absi_zeros)
# scan for all frame-indices where the
# zeroed-row-abs-index-step-diff is greater then the
# expected increment of 1.
# data 1st zero seg data zeros
# ---- ------------ ---- ----- ------ ----
# ||||..000000000000..||||..00000..||||||..0000
# ---- ------------ ---- ----- ------ ----
# ^zero_t[0] ^zero_t[-1]
# ^fi_zgaps[0] ^fi_zgaps[1]
# ^absi_zsegs[0][0] ^---^ => absi_zsegs[1]: tuple
# absi_zsegs[0][1]^
#
# NOTE: the first entry in `fi_zgaps` is where
# the first (absolute) index step diff is > 1.
# and it is a frame-relative index into `zero_t`.
fi_zgaps = np.argwhere(
absi_zdiff > 1
# NOTE: +1 here is ensure we index to the "start" of each
# segment (if we didn't the below loop needs to be
# re-written to expect `fi_end_rows`!
) + 1
# the rows from the contiguous zeroed segments which have
# abs-index steps >1 compared to the previous zero row
# (indicating an end of zeroed segment).
fi_zseg_start_rows = zero_t[fi_zgaps]
# TODO: equiv for pl.DataFrame case!
else:
izeros: pl.Series = zero_pred.arg_true()
zero_t: pl.DataFrame = frame[izeros]
absi_zeros = zero_t['index']
absi_zdiff: pl.Series = absi_zeros.diff()
fi_zgaps = (absi_zdiff > 1).arg_true()
# XXX: our goal (in this func) is to select out slice index
# pairs (zseg0_start, zseg_end) in abs index units for each
# null-segment portion detected throughout entire input frame.
# only up to one null-segment in entire frame?
num_gaps: int = fi_zgaps.size + 1
if num_gaps < 1:
if absi_zeros.size > 1:
absi_zsegs = [[
# TODO: maybe mk these max()/min() limits func
# consts instead of called more then once?
max(
absi_zeros[0] - 1,
0,
),
# NOTE: need the + 1 to guarantee we index "up to"
# the next non-null row-datum.
min(
absi_zeros[-1] + 1,
frame['index'][-1],
),
]]
else:
# XXX EDGE CASE: only one null-datum found so
# mark the start abs index as None to trigger
# a full frame-len query to the respective backend?
absi_zsegs = [[
# see `get_hist()` in backend, should ALWAYS be
# able to handle a `start_dt=None`!
# None,
None,
absi_zeros[0] + 1,
]]
# XXX NOTE XXX: if >= 2 zeroed segments are found, there should
# ALWAYS be more then one zero-segment-abs-index-step-diff row
# in `absi_zdiff`, so loop through all such
# abs-index-step-diffs >1 (i.e. the entries of `absi_zdiff`)
# and add them as the "end index" entries for each segment.
# Then, iif NOT iterating the first such segment end, look back
# for the prior segments zero-segment start indext by relative
# indexing the `zero_t` frame by -1 and grabbing the abs index
# of what should be the prior zero-segment abs start index.
else:
# NOTE: since `absi_zdiff` will never have a row
# corresponding to the first zero-segment's row, we add it
# manually here.
absi_zsegs.append([
max(
absi_zeros[0] - 1,
0,
),
None,
])
# TODO: can we do it with vec ops?
for i, (
fi, # frame index of zero-seg start
zseg_start_row, # full row for ^
) in enumerate(zip(
fi_zgaps,
fi_zseg_start_rows,
)):
assert (zseg_start_row == zero_t[fi]).all()
iabs: int = zseg_start_row['index'][0]
absi_zsegs.append([
iabs - 1,
None, # backfilled on next iter
])
# final iter case, backfill FINAL end iabs!
if (i + 1) == fi_zgaps.size:
absi_zsegs[-1][1] = absi_zeros[-1] + 1
# NOTE: only after the first segment (due to `.diff()`
# usage above) can we do a lookback to the prior
# segment's end row and determine it's abs index to
# retroactively insert to the prior
# `absi_zsegs[i-1][1]` entry Bo
last_end: int = absi_zsegs[i][1]
if last_end is None:
prev_zseg_row = zero_t[fi - 1]
absi_post_zseg = prev_zseg_row['index'][0] + 1
# XXX: MUST BACKFILL previous end iabs!
absi_zsegs[i][1] = absi_post_zseg
else:
if 0 < num_gaps < 2:
absi_zsegs[-1][1] = min(
absi_zeros[-1] + 1,
frame['index'][-1],
)
iabs_first: int = frame['index'][0]
for start, end in absi_zsegs:
ts_start: float = times[start - iabs_first]
ts_end: float = times[end - iabs_first]
if (
(ts_start == 0 and not start == 0)
or
ts_end == 0
):
import pdbp
pdbp.set_trace()
assert end
assert start < end
log.warning(
f'Frame has {len(absi_zsegs)} NULL GAPS!?\n'
f'period: {period}\n'
f'total null samples: {len(zero_t)}\n'
)
return (
absi_zsegs, # [start, end] abs slice indices of seg
absi_zeros, # all abs indices within all null-segs
zero_t, # sliced-view of all null-segment rows-datums
)
def iter_null_segs(
timeframe: float,
frame: Frame | None = None,
null_segs: tuple | None = None,
) -> Generator[
tuple[
int, int,
int, int,
float, float,
float, float,
# Seq, # TODO: can we make it an array-type instead?
# list[
# list[int, int],
# ],
# Seq,
# Frame
],
None,
]:
if not (
null_segs := get_null_segs(
frame,
period=timeframe,
)
):
return
absi_pairs_zsegs: list[list[float, float]]
izeros: Seq
zero_t: Frame
(
absi_pairs_zsegs,
izeros,
zero_t,
) = null_segs
absi_first: int = frame[0]['index']
for (
absi_start,
absi_end,
) in absi_pairs_zsegs:
fi_end: int = absi_end - absi_first
end_row: Seq = frame[fi_end]
end_t: float = end_row['time']
end_dt: DateTime = from_timestamp(end_t)
fi_start = None
start_row = None
start_t = None
start_dt = None
if (
absi_start is not None
and start_t != 0
):
fi_start: int = absi_start - absi_first
start_row: Seq = frame[fi_start]
start_t: float = start_row['time']
start_dt: DateTime = from_timestamp(start_t)
if absi_start < 0:
import pdbp
pdbp.set_trace()
yield (
absi_start, absi_end, # abs indices
fi_start, fi_end, # relative "frame" indices
start_t, end_t,
start_dt, end_dt,
)
def with_dts(
df: pl.DataFrame,
time_col: str = 'time',
) -> pl.DataFrame:
'''
Insert datetime (casted) columns to a (presumably) OHLC sampled
time series with an epoch-time column keyed by `time_col: str`.
'''
return df.with_columns([
pl.col(time_col).shift(1).suffix('_prev'),
pl.col(time_col).diff().alias('s_diff'),
pl.from_epoch(pl.col(time_col)).alias('dt'),
]).with_columns([
pl.from_epoch(
column=pl.col(f'{time_col}_prev'),
).alias('dt_prev'),
pl.col('dt').diff().alias('dt_diff'),
])
t_unit: Literal = Literal[
'days',
'hours',
'minutes',
'seconds',
'miliseconds',
'microseconds',
'nanoseconds',
]
def detect_time_gaps(
w_dts: pl.DataFrame,
time_col: str = 'time',
# epoch sampling step diff
expect_period: float = 60,
# NOTE: legacy stock mkts have venue operating hours
# and thus gaps normally no more then 1-2 days at
# a time.
gap_thresh: float = 1.,
# TODO: allow passing in a frame of operating hours?
# -[ ] durations/ranges for faster legit gap checks?
# XXX -> must be valid ``polars.Expr.dt.<name>``
# like 'days' which a sane default for venue closures
# though will detect weekend gaps which are normal :o
gap_dt_unit: t_unit | None = None,
) -> pl.DataFrame:
'''
Filter to OHLC datums which contain sample step gaps.
For eg. legacy markets which have venue close gaps and/or
actual missing data segments.
'''
# first select by any sample-period (in seconds unit) step size
# greater then expected.
step_gaps: pl.DataFrame = w_dts.filter(
pl.col('s_diff').abs() > expect_period
)
if gap_dt_unit is None:
return step_gaps
# NOTE: this flag is to indicate that on this (sampling) time
# scale we expect to only be filtering against larger venue
# closures-scale time gaps.
return step_gaps.filter(
# Second by an arbitrary dt-unit step size
getattr(
pl.col('dt_diff').dt,
gap_dt_unit,
)().abs() > gap_thresh
)
def detect_price_gaps(
df: pl.DataFrame,
gt_multiplier: float = 2.,
price_fields: list[str] = ['high', 'low'],
) -> pl.DataFrame:
'''
Detect gaps in clearing price over an OHLC series.
2 types of gaps generally exist; up gaps and down gaps:
- UP gap: when any next sample's lo price is strictly greater
then the current sample's hi price.
- DOWN gap: when any next sample's hi price is strictly
less then the current samples lo price.
'''
# return df.filter(
# pl.col('high') - ) > expect_period,
# ).select([
# pl.dt.datetime(pl.col(time_col).shift(1)).suffix('_previous'),
# pl.all(),
# ]).select([
# pl.all(),
# (pl.col(time_col) - pl.col(f'{time_col}_previous')).alias('diff'),
# ])
...
# TODO: probably just use the null_segs impl above?
def detect_vlm_gaps(
df: pl.DataFrame,
col: str = 'volume',
) -> pl.DataFrame:
vnull: pl.DataFrame = w_dts.filter(
pl.col(col) == 0
)
return vnull
def dedupe(
src_df: pl.DataFrame,
time_gaps: pl.DataFrame | None = None,
sort: bool = True,
period: float = 60,
) -> tuple[
pl.DataFrame, # with dts
pl.DataFrame, # with deduplicated dts (aka gap/repeat removal)
int, # len diff between input and deduped
]:
'''
Check for time series gaps and if found
de-duplicate any datetime entries, check for
a frame height diff and return the newly
dt-deduplicated frame.
'''
wdts: pl.DataFrame = with_dts(src_df)
deduped = wdts
# remove duplicated datetime samples/sections
deduped: pl.DataFrame = wdts.unique(
# subset=['dt'],
subset=['time'],
maintain_order=True,
)
# maybe sort on any time field
if sort:
deduped = deduped.sort(by='time')
# TODO: detect out-of-order segments which were corrected!
# -[ ] report in log msg
# -[ ] possibly return segment sections which were moved?
diff: int = (
wdts.height
-
deduped.height
)
return (
wdts,
deduped,
diff,
)
def sort_diff(
src_df: pl.DataFrame,
col: str = 'time',
) -> tuple[
pl.DataFrame, # with dts
pl.DataFrame, # sorted
list[int], # indices of segments that are out-of-order
]:
ser: pl.Series = src_df[col]
sortd: pl.DataFrame = ser.sort()
diff: pl.Series = ser.diff()
sortd_diff: pl.Series = sortd.diff()
i_step_diff = (diff != sortd_diff).arg_true()
frame_reorders: int = i_step_diff.len()
if frame_reorders:
log.warn(
f'Resorted frame on col: {col}\n'
f'{frame_reorders}'
)
# import pdbp; pdbp.set_trace()
# NOTE: thanks to this SO answer for the below conversion routines
# to go from numpy struct-arrays to polars dataframes and back:
# https://stackoverflow.com/a/72054819
def np2pl(array: np.ndarray) -> pl.DataFrame:
start: float = time.time()
# XXX: thanks to this SO answer for this conversion tip:
# https://stackoverflow.com/a/72054819
df = pl.DataFrame({
field_name: array[field_name]
for field_name in array.dtype.fields
})
delay: float = round(
time.time() - start,
ndigits=6,
)
log.info(
f'numpy -> polars conversion took {delay} secs\n'
f'polars df: {df}'
)
return df
def pl2np(
df: pl.DataFrame,
dtype: np.dtype,
) -> np.ndarray:
# Create numpy struct array of the correct size and dtype
# and loop through df columns to fill in array fields.
array = np.empty(
df.height,
dtype,
)
for field, col in zip(
dtype.fields,
df.columns,
):
array[field] = df.get_column(col).to_numpy()
return array

View File

@ -21,15 +21,16 @@ Extensions to built-in or (heavily used but 3rd party) friend-lib
types.
'''
from __future__ import annotations
from collections import UserList
from pprint import (
pformat,
saferepr,
)
from typing import Any
from msgspec import (
msgpack,
Struct,
Struct as _Struct,
structs,
)
@ -62,7 +63,7 @@ class DiffDump(UserList):
class Struct(
Struct,
_Struct,
# https://jcristharif.com/msgspec/structs.html#tagged-unions
# tag='pikerstruct',
@ -72,9 +73,27 @@ class Struct(
A "human friendlier" (aka repl buddy) struct subtype.
'''
def _sin_props(self) -> Iterator[
tuple[
structs.FieldIinfo,
str,
Any,
]
]:
'''
Iterate over all non-@property fields of this struct.
'''
fi: structs.FieldInfo
for fi in structs.fields(self):
key: str = fi.name
val: Any = getattr(self, key)
yield fi, key, val
def to_dict(
self,
include_non_members: bool = True,
) -> dict:
'''
Like it sounds.. direct delegation to:
@ -90,16 +109,72 @@ class Struct(
# only return a dict of the struct members
# which were provided as input, NOT anything
# added as `@properties`!
# added as type-defined `@property` methods!
sin_props: dict = {}
for fi in structs.fields(self):
key: str = fi.name
sin_props[key] = asdict[key]
fi: structs.FieldInfo
for fi, k, v in self._sin_props():
sin_props[k] = asdict[k]
return sin_props
def pformat(self) -> str:
return f'Struct({pformat(self.to_dict())})'
def pformat(
self,
field_indent: int = 2,
indent: int = 0,
) -> str:
'''
Recursion-safe `pprint.pformat()` style formatting of
a `msgspec.Struct` for sane reading by a human using a REPL.
'''
# global whitespace indent
ws: str = ' '*indent
# field whitespace indent
field_ws: str = ' '*(field_indent + indent)
# qtn: str = ws + self.__class__.__qualname__
qtn: str = self.__class__.__qualname__
obj_str: str = '' # accumulator
fi: structs.FieldInfo
k: str
v: Any
for fi, k, v in self._sin_props():
# TODO: how can we prefer `Literal['option1', 'option2,
# ..]` over .__name__ == `Literal` but still get only the
# latter for simple types like `str | int | None` etc..?
ft: type = fi.type
typ_name: str = getattr(ft, '__name__', str(ft))
# recurse to get sub-struct's `.pformat()` output Bo
if isinstance(v, Struct):
val_str: str = v.pformat(
indent=field_indent + indent,
field_indent=indent + field_indent,
)
else: # the `pprint` recursion-safe format:
# https://docs.python.org/3.11/library/pprint.html#pprint.saferepr
val_str: str = saferepr(v)
obj_str += (field_ws + f'{k}: {typ_name} = {val_str},\n')
return (
f'{qtn}(\n'
f'{obj_str}'
f'{ws})'
)
# TODO: use a pprint.PrettyPrinter instance around ONLY rendering
# inside a known tty?
# def __repr__(self) -> str:
# ...
# __str__ = __repr__ = pformat
__repr__ = pformat
def copy(
self,

View File

@ -14,9 +14,8 @@
# You should have received a copy of the GNU Affero General Public License
# along with this program. If not, see <https://www.gnu.org/licenses/>.
"""
Stuff for your eyes, aka super hawt Qt UI components.
'''
UI components built using `Qt` with major versions swapped in via
the import indirection in the `.qt` sub-mod.
Currently we only support PyQt5 due to this issue in Pyside2:
https://bugreports.qt.io/projects/PYSIDE/issues/PYSIDE-1313
"""
'''

View File

@ -21,8 +21,10 @@ Anchor funtions for UI placement of annotions.
from __future__ import annotations
from typing import Callable, TYPE_CHECKING
from PyQt5.QtCore import QPointF
from PyQt5.QtWidgets import QGraphicsPathItem
from piker.ui.qt import (
QPointF,
QGraphicsPathItem,
)
if TYPE_CHECKING:
from ._chart import ChartPlotWidget

View File

@ -20,12 +20,22 @@ Annotations for ur faces.
"""
from typing import Callable
from PyQt5 import QtCore, QtGui, QtWidgets
from PyQt5.QtCore import QPointF, QRectF
from PyQt5.QtWidgets import QGraphicsPathItem
from pyqtgraph import Point, functions as fn, Color
from pyqtgraph import (
Point,
functions as fn,
Color,
)
import numpy as np
from piker.ui.qt import (
QtCore,
QtGui,
QtWidgets,
QPointF,
QRectF,
QGraphicsPathItem,
)
def mk_marker_path(

View File

@ -21,9 +21,11 @@ Main app startup and run.
from functools import partial
from types import ModuleType
from PyQt5.QtCore import QEvent
import trio
from piker.ui.qt import (
QEvent,
)
from ..service import maybe_spawn_brokerd
from . import _event
from ._exec import run_qtractor

View File

@ -23,16 +23,24 @@ from functools import lru_cache
from typing import Callable
from math import floor
import numpy as np
import polars as pl
import pyqtgraph as pg
from PyQt5 import QtCore, QtGui, QtWidgets
from PyQt5.QtCore import QPointF
from piker.ui.qt import (
QtCore,
QtGui,
QtWidgets,
QPointF,
txt_flag,
align_flag,
px_cache_mode,
)
from . import _pg_overrides as pgo
from ..accounting._mktinfo import float_digits
from ._label import Label
from ._style import DpiAwareFont, hcolor, _font
from ._interaction import ChartView
from ._dataviz import Viz
_axis_pen = pg.mkPen(hcolor('bracket'))
@ -287,9 +295,7 @@ class DynamicDateAxis(Axis):
# time formats mapped by seconds between bars
tick_tpl = {
60 * 60 * 24: '%Y-%b-%d',
60: '%H:%M',
30: '%H:%M:%S',
5: '%H:%M:%S',
60: '%Y-%b-%d(%H:%M)',
1: '%H:%M:%S',
}
@ -305,10 +311,10 @@ class DynamicDateAxis(Axis):
# XX: ARGGGGG AG:LKSKDJF:LKJSDFD
chart = self.pi.chart_widget
viz = chart._vizs[chart.name]
viz: Viz = chart._vizs[chart.name]
shm = viz.shm
array = shm.array
ifield = viz.index_field
ifield: str = viz.index_field
index = array[ifield]
i_0, i_l = index[0], index[-1]
@ -329,7 +335,7 @@ class DynamicDateAxis(Axis):
arr_len = index.shape[0]
first = shm._first.value
times = array['time']
epochs = times[
epochs: list[int] = times[
list(
map(
int,
@ -341,23 +347,30 @@ class DynamicDateAxis(Axis):
)
]
else:
epochs = list(map(int, indexes))
epochs: list[int] = list(map(int, indexes))
# TODO: **don't** have this hard coded shift to EST
# delay = times[-1] - times[-2]
dts = np.array(
delay: float = viz.time_step()
if delay > 1:
# NOTE: use less granular dt-str when using 1M+ OHLC
fmtstr: str = self.tick_tpl[delay]
else:
fmtstr: str = '%Y-%m-%d(%H:%M:%S)'
# https://pola-rs.github.io/polars/py-polars/html/reference/expressions/api/polars.from_epoch.html#polars-from-epoch
pl_dts: pl.Series = pl.from_epoch(
epochs,
dtype='datetime64[s]',
time_unit='s',
# NOTE: kinda weird we can pass it to `.from_epoch()` no?
).dt.replace_time_zone(
time_zone='UTC'
).dt.convert_time_zone(
# TODO: pull this from either:
# -[ ] the mkt venue tz by default
# -[ ] the user's config under `sys.mkt_timezone: str`
'EST'
)
# see units listing:
# https://numpy.org/devdocs/reference/arrays.datetime.html#datetime-units
return list(np.datetime_as_string(dts))
# TODO: per timeframe formatting?
# - we probably need this based on zoom now right?
# prec = self.np_dt_precision[delay]
# return dts.strftime(self.tick_tpl[delay])
return pl_dts.dt.to_string(fmtstr).to_list()
def tickStrings(
self,
@ -408,11 +421,15 @@ class AxisLabel(pg.GraphicsObject):
super().__init__()
self.setParentItem(parent)
self.setFlag(self.ItemIgnoresTransformations)
self.setFlag(
self.GraphicsItemFlag.ItemIgnoresTransformations
)
self.setZValue(100)
# XXX: pretty sure this is faster
self.setCacheMode(QtWidgets.QGraphicsItem.DeviceCoordinateCache)
self.setCacheMode(
px_cache_mode.DeviceCoordinateCache
)
self._parent = parent
@ -549,21 +566,14 @@ class AxisLabel(pg.GraphicsObject):
return (self.rect.width(), self.rect.height())
# _common_text_flags = (
# QtCore.Qt.TextDontClip |
# QtCore.Qt.AlignCenter |
# QtCore.Qt.AlignTop |
# QtCore.Qt.AlignHCenter |
# QtCore.Qt.AlignVCenter
# )
class XAxisLabel(AxisLabel):
_x_margin = 8
text_flags = (
QtCore.Qt.TextDontClip
| QtCore.Qt.AlignCenter
align_flag.AlignCenter
| txt_flag.TextDontClip
)
def size_hint(self) -> tuple[float, float]:
@ -620,10 +630,10 @@ class YAxisLabel(AxisLabel):
_y_margin: int = 4
text_flags = (
QtCore.Qt.AlignLeft
# QtCore.Qt.AlignHCenter
| QtCore.Qt.AlignVCenter
| QtCore.Qt.TextDontClip
align_flag.AlignLeft
| align_flag.AlignVCenter
# | align_flag.AlignHCenter
| txt_flag.TextDontClip
)
def __init__(

View File

@ -28,22 +28,20 @@ from typing import (
TYPE_CHECKING,
)
from PyQt5 import QtCore, QtWidgets
from PyQt5.QtCore import (
import pyqtgraph as pg
import trio
from piker.ui.qt import (
QtCore,
QtWidgets,
Qt,
QLineF,
# QPointF,
)
from PyQt5.QtWidgets import (
QFrame,
QWidget,
QHBoxLayout,
QVBoxLayout,
QSplitter,
)
import pyqtgraph as pg
import trio
from ._axes import (
DynamicDateAxis,
PriceAxis,
@ -570,8 +568,8 @@ class LinkedSplits(QWidget):
# style?
self.chart.setFrameStyle(
QFrame.StyledPanel |
QFrame.Plain
QFrame.Shape.StyledPanel |
QFrame.Shadow.Plain
)
return self.chart
@ -689,8 +687,8 @@ class LinkedSplits(QWidget):
cpw.plotItem.vb.linked = self
cpw.setFrameStyle(
QtWidgets.QFrame.StyledPanel
# | QtWidgets.QFrame.Plain
QFrame.Shape.StyledPanel
# | QFrame.Shadow.Plain
)
# don't show the little "autoscale" A label.

View File

@ -28,9 +28,14 @@ from typing import (
import inspect
import numpy as np
import pyqtgraph as pg
from PyQt5 import QtCore, QtWidgets
from PyQt5.QtCore import QPointF, QRectF
from piker.ui.qt import (
QPointF,
QRectF,
QtCore,
QtWidgets,
px_cache_mode,
)
from ._style import (
_xaxis_at,
hcolor,
@ -104,7 +109,9 @@ class LineDot(pg.CurvePoint):
dot.setParentItem(self)
# keep a static size
self.setFlag(self.ItemIgnoresTransformations)
self.setFlag(
self.GraphicsItemFlag.ItemIgnoresTransformations
)
def event(
self,
@ -207,9 +214,10 @@ class ContentsLabel(pg.LabelItem):
# this being "html" is the dumbest shit :eyeroll:
self.setText(
"<b>i</b>:{index}<br/>"
"<b>i_arr</b>:{index}<br/>"
# NB: these fields must be indexed in the correct order via
# the slice syntax below.
"<b>i_shm</b>:{}<br/>"
"<b>epoch</b>:{}<br/>"
"<b>O</b>:{}<br/>"
"<b>H</b>:{}<br/>"
@ -219,6 +227,7 @@ class ContentsLabel(pg.LabelItem):
# "<b>wap</b>:{}".format(
*array[ix][
[
'index',
'time',
'open',
'high',
@ -270,10 +279,15 @@ class ContentsLabels:
x_in: int,
) -> None:
for chart, name, label, update in self._labels:
for (
chart,
name,
label,
update,
)in self._labels:
viz = chart.get_viz(name)
array = viz.shm.array
array: np.ndarray = viz.shm._array
index = array[viz.index_field]
start = index[0]
stop = index[-1]
@ -284,7 +298,7 @@ class ContentsLabels:
):
# out of range
print('WTF out of range?')
continue
# continue
# call provided update func with data point
try:
@ -292,6 +306,7 @@ class ContentsLabels:
ix = np.searchsorted(index, x_in)
if ix > len(array):
breakpoint()
update(ix, array)
except IndexError:
@ -416,10 +431,10 @@ class Cursor(pg.GraphicsObject):
# vertical and horizonal lines and a y-axis label
vl = plot.addLine(x=0, pen=self.lines_pen, movable=False)
vl.setCacheMode(QtWidgets.QGraphicsItem.DeviceCoordinateCache)
vl.setCacheMode(px_cache_mode.DeviceCoordinateCache)
hl = plot.addLine(y=0, pen=self.lines_pen, movable=False)
hl.setCacheMode(QtWidgets.QGraphicsItem.DeviceCoordinateCache)
hl.setCacheMode(px_cache_mode.DeviceCoordinateCache)
hl.hide()
yl = YAxisLabel(
@ -503,7 +518,10 @@ class Cursor(pg.GraphicsObject):
plot=chart
)
chart.addItem(cursor)
self.graphics[chart].setdefault('cursors', []).append(cursor)
self.graphics[chart].setdefault(
'cursors',
[],
).append(cursor)
return cursor
def mouseAction(

View File

@ -19,20 +19,21 @@ Fast, smooth, sexy curves.
"""
from contextlib import contextmanager as cm
from enum import EnumType
from typing import Callable
import numpy as np
import pyqtgraph as pg
from PyQt5 import QtWidgets
from PyQt5.QtWidgets import QGraphicsItem
from PyQt5.QtCore import (
from piker.ui.qt import (
QtWidgets,
QGraphicsItem,
Qt,
QLineF,
QRectF,
)
from PyQt5.QtGui import (
QPainter,
QPainterPath,
px_cache_mode,
)
from ._style import hcolor
from ..log import get_logger
@ -42,22 +43,23 @@ from ..toolz.profile import (
ms_slower_then,
)
log = get_logger(__name__)
pen_style: EnumType = Qt.PenStyle
_line_styles: dict[str, int] = {
'solid': Qt.PenStyle.SolidLine,
'dash': Qt.PenStyle.DashLine,
'dot': Qt.PenStyle.DotLine,
'dashdot': Qt.PenStyle.DashDotLine,
'solid': pen_style.SolidLine,
'dash': pen_style.DashLine,
'dot': pen_style.DotLine,
'dashdot': pen_style.DashDotLine,
}
class FlowGraphic(pg.GraphicsObject):
'''
Base class with minimal interface for `QPainterPath` implemented,
real-time updated "data flow" graphics.
Base class with minimal interface for `QPainterPath`
implemented, real-time updated "data flow" graphics.
See subtypes below.
@ -69,12 +71,12 @@ class FlowGraphic(pg.GraphicsObject):
# XXX-NOTE-XXX: graphics caching B)
# see explanation for different caching modes:
# https://stackoverflow.com/a/39410081
cache_mode: int = QGraphicsItem.DeviceCoordinateCache
cache_mode: int = px_cache_mode.DeviceCoordinateCache
# XXX: WARNING item caching seems to only be useful
# if we don't re-generate the entire QPainterPath every time
# don't ever use this - it's a colossal nightmare of artefacts
# and is disastrous for performance.
# QGraphicsItem.ItemCoordinateCache
# cache_mode.ItemCoordinateCache
# TODO: still questions todo with coord-cacheing that we should
# probably talk to a core dev about:
# - if this makes trasform interactions slower (such as zooming)
@ -167,15 +169,16 @@ class FlowGraphic(pg.GraphicsObject):
return None
# XXX: due to a variety of weird jitter bugs and "smearing"
# artifacts when click-drag panning and viewing history time series,
# we offer this ctx-mngr interface to allow temporarily disabling
# Qt's graphics caching mode; this is now currently used from
# ``ChartView.start/signal_ic()`` methods which also disable the
# rt-display loop when the user is moving around a view.
# artifacts when click-drag panning and viewing history time
# series, we offer this ctx-mngr interface to allow temporarily
# disabling Qt's graphics caching mode; this is now currently
# used from ``ChartView.start/signal_ic()`` methods which also
# disable the rt-display loop when the user is moving around
# a view.
@cm
def reset_cache(self) -> None:
try:
none = QGraphicsItem.NoCache
none = px_cache_mode.NoCache
log.debug(
f'{self._name} -> CACHE DISABLE: {none}'
)

View File

@ -36,9 +36,12 @@ from msgspec import (
field,
)
import numpy as np
from numpy import (
ndarray,
)
import pyqtgraph as pg
from PyQt5.QtCore import QLineF
from piker.ui.qt import QLineF
from ..data._sharedmem import (
ShmArray,
)
@ -49,7 +52,7 @@ from ..data._formatters import (
OHLCBarsAsCurveFmtr, # OHLC converted to line
StepCurveFmtr, # "step" curve (like for vlm)
)
from ..data._timeseries import (
from ..tsp import (
slice_from_time,
)
from ._ohlc import (
@ -82,10 +85,11 @@ def render_baritems(
viz: Viz,
graphics: BarItems,
read: tuple[
int, int, np.ndarray,
int, int, np.ndarray,
int, int, ndarray,
int, int, ndarray,
],
profiler: Profiler,
force_redraw: bool = False,
**kwargs,
) -> None:
@ -216,9 +220,11 @@ def render_baritems(
viz._in_ds = should_line
should_redraw = (
changed_to_line
force_redraw
or changed_to_line
or not should_line
)
# print(f'should_redraw: {should_redraw}')
return (
graphics,
r,
@ -250,7 +256,7 @@ class ViewState(Struct):
] | None = None
# last in view ``ShmArray.array[read_slc]`` data
in_view: np.ndarray | None = None
in_view: ndarray | None = None
class Viz(Struct):
@ -313,6 +319,7 @@ class Viz(Struct):
_last_uppx: float = 0
_in_ds: bool = False
_index_step: float | None = None
_time_step: float | None = None
# map from uppx -> (downsampled data, incremental graphics)
_src_r: Renderer | None = None
@ -359,7 +366,8 @@ class Viz(Struct):
def index_step(
self,
reset: bool = False,
index_field: str | None = None,
) -> float:
'''
Return the size between sample steps in the units of the
@ -367,12 +375,17 @@ class Viz(Struct):
epoch time in seconds.
'''
# attempt to dectect the best step size by scanning a sample of
# the source data.
if self._index_step is None:
index: np.ndarray = self.shm.array[self.index_field]
isample: np.ndarray = index[-16:]
# attempt to detect the best step size by scanning a sample
# of the source data.
if (
self._index_step is None
or index_field is not None
):
index: ndarray = self.shm.array[
index_field
or self.index_field
]
isample: ndarray = index[-16:]
mxdiff: None | float = None
for step in np.diff(isample):
@ -386,7 +399,15 @@ class Viz(Struct):
)
mxdiff = step
self._index_step = max(mxdiff, 1)
step: float = max(mxdiff, 1)
# only SET the internal index step if an explicit
# field name is NOT passed, since in such cases this
# is likely just being called from `.time_step()`.
if index_field is not None:
return step
self._index_step = step
if (
mxdiff < 1
or 1 < mxdiff < 60
@ -397,6 +418,17 @@ class Viz(Struct):
return self._index_step
def time_step(self) -> float:
'''
Attempt to determine the per-sample time-step period by
forcing an epoch-index and calling `.index_step()`.
'''
if self._time_step is None:
self._time_step: float = self.index_step(index_field='time')
return self._time_step
def maxmin(
self,
@ -404,6 +436,9 @@ class Viz(Struct):
i_read_range: tuple[int, int] | None = None,
use_caching: bool = True,
# XXX: internal debug
_do_print: bool = False
) -> tuple[float, float] | None:
'''
Compute the cached max and min y-range values for a given
@ -423,15 +458,14 @@ class Viz(Struct):
if shm is None:
return None
do_print: bool = False
arr = shm.array
arr: ndarray = shm.array
if i_read_range is not None:
read_slc = slice(*i_read_range)
index = arr[read_slc][self.index_field]
index: float | int = arr[read_slc][self.index_field]
if not index.size:
return None
ixrng = (index[0], index[-1])
ixrng: tuple[int, int] = (index[0], index[-1])
else:
if x_range is None:
@ -449,15 +483,24 @@ class Viz(Struct):
# TODO: hash the slice instead maybe?
# https://stackoverflow.com/a/29980872
ixrng = lbar, rbar = round(x_range[0]), round(x_range[1])
ixrng = lbar, rbar = (
round(x_range[0]),
round(x_range[1]),
)
if (
use_caching
and self._mxmn_cache_enabled
):
# TODO: is there a way to ONLY clear ranges containing
# a certain sub-range?
# -[ ] currently we have a problem where a previously
# cached mxmn will persist even if the viz is "hard
# re-rendered" (usually bc underlying data was
# corrected)
cached_result = self._mxmns.get(ixrng)
if cached_result:
if do_print:
if _do_print:
print(
f'{self.name} CACHED maxmin\n'
f'{ixrng} -> {cached_result}'
@ -487,7 +530,7 @@ class Viz(Struct):
(rbar - ifirst) + 1
)
slice_view = arr[read_slc]
slice_view: ndarray = arr[read_slc]
if not slice_view.size:
log.warning(
@ -498,7 +541,7 @@ class Viz(Struct):
elif self.ds_yrange:
mxmn = self.ds_yrange
if do_print:
if _do_print:
print(
f'{self.name} M4 maxmin:\n'
f'{ixrng} -> {mxmn}'
@ -515,7 +558,7 @@ class Viz(Struct):
mxmn = ylow, yhigh
if (
do_print
_do_print
):
s = 3
print(
@ -529,14 +572,23 @@ class Viz(Struct):
# cache result for input range
ylow, yhi = mxmn
diff: float = yhi - ylow
# order-of-magnitude check
# TODO: really we should be checking the hi or low
# against the previous sample to catch stuff like,
# - rando stock (reverse-)split
# - null-segments written by some prior
# crash-during-backfil
if diff > 0:
omg: float = abs(logf(diff, 10))
else:
omg: float = 0
try:
prolly_anomaly: bool = (
(
abs(logf(ylow, 10)) > 16
if ylow
else False
)
# diff == 0
(ylow and omg > 10)
or (
isnan(ylow) or isnan(yhi)
)
@ -563,7 +615,8 @@ class Viz(Struct):
def view_range(self) -> tuple[int, int]:
'''
Return the start and stop x-indexes for the managed ``ViewBox``.
Return the start and stop x-indexes for the managed
``ViewBox``.
'''
vr = self.plot.viewRect()
@ -576,7 +629,7 @@ class Viz(Struct):
self,
view_range: None | tuple[float, float] = None,
index_field: str | None = None,
array: np.ndarray | None = None,
array: ndarray | None = None,
) -> tuple[
int, int, int, int, int, int
@ -647,8 +700,8 @@ class Viz(Struct):
profiler: None | Profiler = None,
) -> tuple[
int, int, np.ndarray,
int, int, np.ndarray,
int, int, ndarray,
int, int, ndarray,
]:
'''
Read the underlying shm array buffer and
@ -818,6 +871,10 @@ class Viz(Struct):
graphics,
read,
profiler,
# NOTE: only set when caller says to
force_redraw=should_redraw,
**kwargs,
)
@ -980,6 +1037,39 @@ class Viz(Struct):
graphics,
)
def reset_graphics(
self,
# TODO: allow only resetting within some x-domain range?
# ixrng: tuple[int, int] | None = None,
) -> None:
'''
Hard reset all graphics (rendering) layers for this
data viz including clearing the mxmn auto-y-range
cache.
Normally called when the underlying data set is modified
(probably by some `.tsp` correcting/editing routine) and
the (now cached) graphics need to be fully re-rendered from
source.
'''
log.warning(
f'Forcing hard Viz graphihcs RESET:\n'
f'.name: {self.name}\n'
f'.index_field: {self.index_field}\n'
f'.index_step(): {self.index_step()}\n'
f'.time_step(): {self.time_step()}\n'
)
# XXX: always clear the mxn y-range cache
# to avoid old data (anomalies) from being
# retained in auto-yrange output.
self._mxmn_cache_enabled = False
self._mxmns.clear()
self.update_graphics(force_redraw=True)
self._mxmn_cache_enabled = True
def draw_last(
self,
array_key: str | None = None,
@ -1072,7 +1162,7 @@ class Viz(Struct):
'''
shm: ShmArray = self.shm
array: np.ndarray = shm.array
array: ndarray = shm.array
view: ChartView = self.plot.vb
(
vl,

View File

@ -57,6 +57,7 @@ from piker.toolz import (
Profiler,
)
from piker.log import get_logger
from piker import config
# from ..data._source import tf_in_1s
from ._axes import YAxisLabel
from ._chart import (
@ -210,9 +211,9 @@ async def increment_history_view(
):
hist_chart: ChartPlotWidget = ds.hist_chart
hist_viz: Viz = ds.hist_viz
viz: Viz = ds.viz
# viz: Viz = ds.viz
assert 'hist' in hist_viz.shm.token['shm_name']
name: str = hist_viz.name
# name: str = hist_viz.name
# TODO: seems this is more reliable at keeping the slow
# chart incremented in view more correctly?
@ -225,7 +226,8 @@ async def increment_history_view(
# draw everything from scratch on first entry!
for curve_name, hist_viz in hist_chart._vizs.items():
log.info(f'Forcing hard redraw -> {curve_name}')
hist_viz.update_graphics(force_redraw=True)
hist_viz.reset_graphics()
# hist_viz.update_graphics(force_redraw=True)
async with open_sample_stream(1.) as min_istream:
async for msg in min_istream:
@ -248,25 +250,27 @@ async def increment_history_view(
# - samplerd could emit the actual update range via
# tuple and then we only enter the below block if that
# range is detected as in-view?
if (
(bf_wut := msg.get('backfilling', False))
):
viz_name, timeframe = bf_wut
if (
viz_name == name
# TODO: only allow this when the data is IN VIEW!
# also, we probably can do this more efficiently
# / smarter by only redrawing the portion of the
# path necessary?
and False
):
log.info(f'Forcing hard redraw -> {name}@{timeframe}')
match timeframe:
case 60:
hist_viz.update_graphics(force_redraw=True)
case 1:
viz.update_graphics(force_redraw=True)
# match msg:
# case {
# 'backfilling': (viz_name, timeframe),
# } if (
# viz_name == name
# ):
# log.warning(
# f'Forcing HARD REDRAW:\n'
# f'name: {name}\n'
# f'timeframe: {timeframe}\n'
# )
# # TODO: only allow this when the data is IN VIEW!
# # also, we probably can do this more efficiently
# # / smarter by only redrawing the portion of the
# # path necessary?
# {
# 60: hist_viz,
# 1: viz,
# }[timeframe].update_graphics(
# force_redraw=True
# )
# check if slow chart needs an x-domain shift and/or
# y-range resize.
@ -307,6 +311,7 @@ async def increment_history_view(
async def graphics_update_loop(
dss: dict[str, DisplayState],
nurse: trio.Nursery,
godwidget: GodWidget,
feed: Feed,
@ -348,8 +353,6 @@ async def graphics_update_loop(
'i_last_slow_t': 0, # multiview-global slow (1m) step index
}
dss: dict[str, DisplayState] = {}
for fqme, flume in feed.flumes.items():
ohlcv = flume.rt_shm
hist_ohlcv = flume.hist_shm
@ -468,10 +471,18 @@ async def graphics_update_loop(
if ds.hist_vars['i_last'] < ds.hist_vars['i_last_append']:
await tractor.pause()
# try:
# XXX TODO: we need to do _dss UPDATE here so that when
# a feed-view is switched you can still remote annotate the
# prior view..
from . import _remote_ctl
_remote_ctl._dss.update(dss)
# main real-time quotes update loop
stream: tractor.MsgStream
async with feed.open_multi_stream() as stream:
assert stream
# assert stream
async for quotes in stream:
quote_period = time.time() - last_quote_s
quote_rate = round(
@ -487,7 +498,7 @@ async def graphics_update_loop(
pass
# log.warning(f'High quote rate {mkt.fqme}: {quote_rate}')
last_quote_s = time.time()
last_quote_s: float = time.time()
for fqme, quote in quotes.items():
ds = dss[fqme]
@ -517,6 +528,12 @@ async def graphics_update_loop(
quote,
)
# finally:
# # XXX: cancel any remote annotation control ctxs
# _remote_ctl._dss = None
# for cid, (ctx, aids) in _remote_ctl._ctxs.items():
# await ctx.cancel()
def graphics_update_cycle(
ds: DisplayState,
@ -1215,6 +1232,8 @@ async def link_views_with_region(
# region.sigRegionChangeFinished.connect(update_pi_from_region)
# NOTE: default is set to 60 FPS until the runtime delivers the
# discoverd hw value below.
_quote_throttle_rate: int = 60 - 6
@ -1233,7 +1252,7 @@ async def display_symbol_data(
fast from a cached watch-list.
'''
sbar = godwidget.window.status_bar
# sbar = godwidget.window.status_bar
# historical data fetch
# brokermod = brokers.get_brokermod(provider)
@ -1243,11 +1262,11 @@ async def display_symbol_data(
# group_key=loading_sym_key,
# )
for fqme in fqmes:
loading_sym_key = sbar.open_status(
f'loading {fqme} ->',
group_key=True
)
# for fqme in fqmes:
# loading_sym_key = sbar.open_status(
# f'loading {fqme} ->',
# group_key=True
# )
# (TODO: make this not so shit XD)
# close group status once a symbol feed fully loads to view.
@ -1256,26 +1275,54 @@ async def display_symbol_data(
# TODO: ctl over update loop's maximum frequency.
# - load this from a config.toml!
# - allow dyanmic configuration from chart UI?
(
conf,
path,
) = config.load()
ui_conf: dict = conf['ui']
global _quote_throttle_rate
from ._window import main_window
display_rate = main_window().current_screen().refreshRate()
_quote_throttle_rate = floor(display_rate) - 6
display_rate: int = floor(
main_window().current_screen().refreshRate()
) - 6
mx_redraw_rate: int = ui_conf.get(
'max_redraw_rate',
_quote_throttle_rate,
)
if mx_redraw_rate < display_rate:
log.info(
'Down-throttling redraw rate to config setting\n'
f'display FPS: {display_rate}\n'
'max_redraw_rate: {max_redraw_rate}\n'
)
else:
_quote_throttle_rate = display_rate
# TODO: we should be able to increase this if we use some
# `mypyc` speedups elsewhere? 22ish seems to be the sweet
# spot for single-feed chart.
num_of_feeds = len(fqmes)
mx: int = 22
if num_of_feeds > 1:
# there will be more ctx switches with more than 1 feed so we
# max throttle down a bit more.
mx = 16
# if num_of_feeds > 1:
# there will be more ctx switches with more than 1 feed so we
# max throttle down a bit more.
mx_per_feed: int = (
ui_conf.get(
'per_feed_redraw_rate',
mx_redraw_rate,
)
or 16
)
# limit to at least display's FPS
# avoiding needless Qt-in-guest-mode context switches
cycles_per_feed = min(
round(_quote_throttle_rate/num_of_feeds),
mx,
mx_per_feed,
)
feed: Feed
@ -1420,7 +1467,7 @@ async def display_symbol_data(
start_fsp_displays,
rt_linked,
flume,
loading_sym_key,
# loading_sym_key,
loglevel,
)
@ -1539,8 +1586,10 @@ async def display_symbol_data(
)
# start update loop task
dss: dict[str, DisplayState] = {}
ln.start_soon(
graphics_update_loop,
dss,
ln,
godwidget,
feed,
@ -1554,15 +1603,31 @@ async def display_symbol_data(
order_ctl_fqme: str = fqmes[0]
mode: OrderMode
async with (
open_order_mode(
feed,
godwidget,
order_ctl_fqme,
order_mode_started,
loglevel=loglevel
) as mode
):
) as mode,
# TODO: maybe have these startup sooner before
# order mode fully boots? but we gotta,
# -[ ] decouple the order mode bindings until
# the mode has fully booted..
# -[ ] maybe do an Event to sync?
# start input handling for ``ChartView`` input
# (i.e. kb + mouse handling loops)
rt_chart.view.open_async_input_handler(
dss=dss,
),
hist_chart.view.open_async_input_handler(
dss=dss,
),
):
rt_linked.mode = mode
rt_viz = rt_chart.get_viz(order_ctl_fqme)

View File

@ -21,7 +21,8 @@ Higher level annotation editors.
from __future__ import annotations
from collections import defaultdict
from typing import (
TYPE_CHECKING
Sequence,
TYPE_CHECKING,
)
import pyqtgraph as pg
@ -31,24 +32,34 @@ from pyqtgraph import (
QtCore,
QtWidgets,
)
from PyQt5.QtGui import (
QColor,
)
from PyQt5.QtWidgets import (
QLabel,
)
from pyqtgraph import functions as fn
from PyQt5.QtCore import QPointF
import numpy as np
from piker.types import Struct
from ._style import hcolor, _font
from piker.ui.qt import (
Qt,
QPointF,
QRectF,
QGraphicsProxyWidget,
QGraphicsScene,
QLabel,
QColor,
QTransform,
)
from ._style import (
hcolor,
_font,
)
from ._lines import LevelLine
from ..log import get_logger
if TYPE_CHECKING:
from ._chart import GodWidget
from ._chart import (
GodWidget,
ChartPlotWidget,
)
from ._interaction import ChartView
log = get_logger(__name__)
@ -65,7 +76,7 @@ class ArrowEditor(Struct):
uid: str,
x: float,
y: float,
color='default',
color: str = 'default',
pointing: str | None = None,
) -> pg.ArrowItem:
@ -251,43 +262,75 @@ class LineEditor(Struct):
return lines
class SelectRect(QtWidgets.QGraphicsRectItem):
def as_point(
pair: Sequence[float, float] | QPointF,
) -> list[QPointF, QPointF]:
'''
Case any input tuple of floats to a a list of `QPoint` objects
for use in Qt geometry routines.
'''
if isinstance(pair, QPointF):
return pair
return QPointF(pair[0], pair[1])
# TODO: maybe implement better, something something RectItemProxy??
# -[ ] dig into details of how proxy's work?
# https://doc.qt.io/qt-5/qgraphicsscene.html#addWidget
# -[ ] consider using `.addRect()` maybe?
class SelectRect(QtWidgets.QGraphicsRectItem):
'''
A data-view "selection rectangle": the most fundamental
geometry for annotating data views.
- https://doc.qt.io/qt-5/qgraphicsrectitem.html
- https://doc.qt.io/qt-6/qgraphicsrectitem.html
'''
def __init__(
self,
viewbox: ViewBox,
color: str = 'dad_blue',
color: str | None = None,
) -> None:
super().__init__(0, 0, 1, 1)
# self.rbScaleBox = QGraphicsRectItem(0, 0, 1, 1)
self.vb = viewbox
self._chart: 'ChartPlotWidget' = None # noqa
self.vb: ViewBox = viewbox
# override selection box color
self._chart: ChartPlotWidget | None = None # noqa
# TODO: maybe allow this to be dynamic via a method?
#l override selection box color
color: str = color or 'dad_blue'
color = QColor(hcolor(color))
self.setPen(fn.mkPen(color, width=1))
color.setAlpha(66)
self.setBrush(fn.mkBrush(color))
self.setZValue(1e9)
self.hide()
self._label = None
label = self._label = QLabel()
label.setTextFormat(0) # markdown
label.setTextFormat(
Qt.TextFormat.MarkdownText
)
label.setFont(_font.font)
label.setMargin(0)
label.setAlignment(
QtCore.Qt.AlignLeft
# | QtCore.Qt.AlignVCenter
)
label.hide() # always right after init
# proxy is created after containing scene is initialized
self._label_proxy = None
self._abs_top_right = None
self._label_proxy: QGraphicsProxyWidget | None = None
self._abs_top_right: Point | None = None
# TODO: "swing %" might be handy here (data's max/min # % change)
self._contents = [
# TODO: "swing %" might be handy here (data's max/min
# # % change)?
self._contents: list[str] = [
'change: {pchng:.2f} %',
'range: {rng:.2f}',
'bars: {nbars}',
@ -297,12 +340,31 @@ class SelectRect(QtWidgets.QGraphicsRectItem):
'sigma: {std:.2f}',
]
self.add_to_view(viewbox)
self.hide()
def add_to_view(
self,
view: ChartView,
) -> None:
'''
Self-defined view hookup impl which will
also re-assign the internal ref.
'''
view.addItem(
self,
ignoreBounds=True,
)
if self.vb is not view:
self.vb = view
@property
def chart(self) -> 'ChartPlotWidget': # noqa
def chart(self) -> ChartPlotWidget: # noqa
return self._chart
@chart.setter
def chart(self, chart: 'ChartPlotWidget') -> None: # noqa
def chart(self, chart: ChartPlotWidget) -> None: # noqa
self._chart = chart
chart.sigRangeChanged.connect(self.update_on_resize)
palette = self._label.palette()
@ -315,57 +377,155 @@ class SelectRect(QtWidgets.QGraphicsRectItem):
)
def update_on_resize(self, vr, r):
"""Re-position measure label on view range change.
'''
Re-position measure label on view range change.
"""
'''
if self._abs_top_right:
self._label_proxy.setPos(
self.vb.mapFromView(self._abs_top_right)
)
def mouse_drag_released(
def set_scen_pos(
self,
p1: QPointF,
p2: QPointF
scen_p1: QPointF,
scen_p2: QPointF,
update_label: bool = True,
) -> None:
"""Called on final button release for mouse drag with start and
end positions.
'''
Set position from scene coords of selection rect (normally
from mouse position) and accompanying label, move label to
match.
"""
self.set_pos(p1, p2)
'''
# NOTE XXX: apparently just setting it doesn't work!?
# i have no idea why but it's pretty weird we have to do
# this transform thing which was basically pulled verbatim
# from the `pg.ViewBox.updateScaleBox()` method.
view_rect: QRectF = self.vb.childGroup.mapRectFromScene(
QRectF(
scen_p1,
scen_p2,
)
)
self.setPos(view_rect.topLeft())
# XXX: does not work..!?!?
# https://doc.qt.io/qt-5/qgraphicsrectitem.html#setRect
# self.setRect(view_rect)
def set_pos(
self,
p1: QPointF,
p2: QPointF
) -> None:
"""Set position of selection rect and accompanying label, move
label to match.
tr = QTransform.fromScale(
view_rect.width(),
view_rect.height(),
)
self.setTransform(tr)
"""
if self._label_proxy is None:
# https://doc.qt.io/qt-5/qgraphicsproxywidget.html
self._label_proxy = self.vb.scene().addWidget(self._label)
start_pos = self.vb.mapToView(p1)
end_pos = self.vb.mapToView(p2)
# map to view coords and update area
r = QtCore.QRectF(start_pos, end_pos)
# old way; don't need right?
# lr = QtCore.QRectF(p1, p2)
# r = self.vb.childGroup.mapRectFromParent(lr)
self.setPos(r.topLeft())
self.resetTransform()
self.setRect(r)
# XXX: never got this working, was always offset
# / transformed completely wrong (and off to the far right
# from the cursor?)
# self.set_view_pos(
# view_rect=view_rect,
# # self.vwqpToView(p1),
# # self.vb.mapToView(p2),
# # start_pos=self.vb.mapToScene(p1),
# # end_pos=self.vb.mapToScene(p2),
# )
self.show()
y1, y2 = start_pos.y(), end_pos.y()
x1, x2 = start_pos.x(), end_pos.x()
if update_label:
self.init_label(view_rect)
# TODO: heh, could probably use a max-min streamin algo here too
def set_view_pos(
self,
start_pos: QPointF | Sequence[float, float] | None = None,
end_pos: QPointF | Sequence[float, float] | None = None,
view_rect: QRectF | None = None,
update_label: bool = True,
) -> None:
'''
Set position from `ViewBox` coords (i.e. from the actual
data domain) of rect (and any accompanying label which is
moved to match).
'''
if self._chart is None:
raise RuntimeError(
'You MUST assign a `SelectRect.chart: ChartPlotWidget`!'
)
if view_rect is None:
# ensure point casting
start_pos: QPointF = as_point(start_pos)
end_pos: QPointF = as_point(end_pos)
# map to view coords and update area
view_rect = QtCore.QRectF(
start_pos,
end_pos,
)
self.setPos(view_rect.topLeft())
# NOTE: SERIOUSLY NO IDEA WHY THIS WORKS...
# but it does and all the other commented stuff above
# dint, dawg..
# self.resetTransform()
# self.setRect(view_rect)
tr = QTransform.fromScale(
view_rect.width(),
view_rect.height(),
)
self.setTransform(tr)
if update_label:
self.init_label(view_rect)
print(
'SelectRect modify:\n'
f'QRectF: {view_rect}\n'
f'start_pos: {start_pos}\n'
f'end_pos: {end_pos}\n'
)
self.show()
def init_label(
self,
view_rect: QRectF,
) -> QLabel:
# should be init-ed in `.__init__()`
label: QLabel = self._label
cv: ChartView = self.vb
# https://doc.qt.io/qt-5/qgraphicsproxywidget.html
if self._label_proxy is None:
scen: QGraphicsScene = cv.scene()
# NOTE: specifically this is passing a widget
# pointer to the scene's `.addWidget()` as per,
# https://doc.qt.io/qt-5/qgraphicsproxywidget.html#embedding-a-widget-with-qgraphicsproxywidget
self._label_proxy: QGraphicsProxyWidget = scen.addWidget(label)
# get label startup coords
tl: QPointF = view_rect.topLeft()
br: QPointF = view_rect.bottomRight()
x1, y1 = tl.x(), tl.y()
x2, y2 = br.x(), br.y()
# TODO: to remove, previous label corner point unpacking
# x1, y1 = start_pos.x(), start_pos.y()
# x2, y2 = end_pos.x(), end_pos.y()
# y1, y2 = start_pos.y(), end_pos.y()
# x1, x2 = start_pos.x(), end_pos.x()
# TODO: heh, could probably use a max-min streamin algo
# here too?
_, xmn = min(y1, y2), min(x1, x2)
ymx, xmx = max(y1, y2), max(x1, x2)
@ -375,26 +535,35 @@ class SelectRect(QtWidgets.QGraphicsRectItem):
ixmn, ixmx = round(xmn), round(xmx)
nbars = ixmx - ixmn + 1
chart = self._chart
data = chart.get_viz(chart.name).shm.array[ixmn:ixmx]
chart: ChartPlotWidget = self._chart
data: np.ndarray = chart.get_viz(
chart.name
).shm.array[ixmn:ixmx]
if len(data):
std = data['close'].std()
dmx = data['high'].max()
dmn = data['low'].min()
std: float = data['close'].std()
dmx: float = data['high'].max()
dmn: float = data['low'].min()
else:
dmn = dmx = std = np.nan
# update label info
self._label.setText('\n'.join(self._contents).format(
pchng=pchng, rng=rng, nbars=nbars,
std=std, dmx=dmx, dmn=dmn,
label.setText('\n'.join(self._contents).format(
pchng=pchng,
rng=rng,
nbars=nbars,
std=std,
dmx=dmx,
dmn=dmn,
))
# print(f'x2, y2: {(x2, y2)}')
# print(f'xmn, ymn: {(xmn, ymx)}')
label_anchor = Point(xmx + 2, ymx)
label_anchor = Point(
xmx + 2,
ymx,
)
# XXX: in the drag bottom-right -> top-left case we don't
# want the label to overlay the box.
@ -403,13 +572,40 @@ class SelectRect(QtWidgets.QGraphicsRectItem):
# # label_anchor = Point(x2, y2 + self._label.height())
# label_anchor = Point(xmn, ymn)
self._abs_top_right = label_anchor
self._label_proxy.setPos(self.vb.mapFromView(label_anchor))
# self._label.show()
self._abs_top_right: Point = label_anchor
self._label_proxy.setPos(
cv.mapFromView(label_anchor)
)
label.show()
def clear(self):
"""Clear the selection box from view.
def hide(self):
'''
Clear the selection box from its graphics scene but
don't delete it permanently.
"""
'''
super().hide()
self._label.hide()
self.hide()
# TODO: ensure noone else using dis.
clear = hide
def delete(self) -> None:
'''
De-allocate this rect from its rendering graphics scene.
Like a permanent hide.
'''
scen: QGraphicsScene = self.scene()
if scen is None:
return
scen.removeItem(self)
if (
self._label
and
self._label_proxy
):
scen.removeItem(self._label_proxy)

View File

@ -23,28 +23,29 @@ from typing import Callable
import trio
from tractor.trionics import gather_contexts
from PyQt5 import QtCore
from PyQt5.QtCore import QEvent, pyqtBoundSignal
from PyQt5.QtWidgets import QWidget
from PyQt5.QtWidgets import (
QGraphicsSceneMouseEvent as gs_mouse,
)
from piker.ui.qt import (
QtCore,
QWidget,
QEvent,
keys,
gs_keys,
pyqtBoundSignal,
)
from piker.types import Struct
MOUSE_EVENTS = {
gs_mouse.GraphicsSceneMousePress,
gs_mouse.GraphicsSceneMouseRelease,
QEvent.MouseButtonPress,
QEvent.MouseButtonRelease,
gs_keys.GraphicsSceneMousePress,
gs_keys.GraphicsSceneMouseRelease,
keys.MouseButtonPress,
keys.MouseButtonRelease,
# QtGui.QMouseEvent,
}
# TODO: maybe consider some constrained ints down the road?
# https://pydantic-docs.helpmanual.io/usage/types/#constrained-types
class KeyboardMsg(Struct):
'''Unpacked Qt keyboard event data.
@ -114,7 +115,10 @@ class EventRelay(QtCore.QObject):
# something to do with Qt internals and calling the
# parent handler?
if etype in {QEvent.KeyPress, QEvent.KeyRelease}:
if etype in {
QEvent.Type.KeyPress,
QEvent.Type.KeyRelease,
}:
msg = KeyboardMsg(
event=ev,
@ -160,7 +164,9 @@ class EventRelay(QtCore.QObject):
async def open_event_stream(
source_widget: QWidget,
event_types: set[QEvent] = {QEvent.KeyPress},
event_types: set[QEvent] = {
QEvent.Type.KeyPress,
},
filter_auto_repeats: bool = True,
) -> trio.abc.ReceiveChannel:
@ -201,8 +207,8 @@ async def open_signal_handler(
async for args in recv:
await async_handler(*args)
async with trio.open_nursery() as n:
n.start_soon(proxy_to_handler)
async with trio.open_nursery() as tn:
tn.start_soon(proxy_to_handler)
async with send:
yield
@ -212,18 +218,48 @@ async def open_handlers(
source_widgets: list[QWidget],
event_types: set[QEvent],
async_handler: Callable[[QWidget, trio.abc.ReceiveChannel], None],
**kwargs,
# NOTE: if you want to bind in additional kwargs to the handler
# pass in a `partial()` instead!
async_handler: Callable[
[QWidget, trio.abc.ReceiveChannel], # required handler args
None
],
# XXX: these are ONLY inputs available to the
# `open_event_stream()` event-relay to mem-chan factor above!
**open_ev_stream_kwargs,
) -> None:
'''
Connect and schedule an async handler function to receive an
arbitrary `QWidget`'s events with kb/mouse msgs repacked into
structs (see above) and shuttled over a mem-chan to the input
`async_handler` to allow interaction-IO processing from
a `trio` func-as-task.
'''
widget: QWidget
streams: list[trio.abc.ReceiveChannel]
async with (
trio.open_nursery() as n,
trio.open_nursery() as tn,
gather_contexts([
open_event_stream(widget, event_types, **kwargs)
open_event_stream(
widget,
event_types,
**open_ev_stream_kwargs,
)
for widget in source_widgets
]) as streams,
):
for widget, event_recv_stream in zip(source_widgets, streams):
n.start_soon(async_handler, widget, event_recv_stream)
for widget, event_recv_stream in zip(
source_widgets,
streams,
):
tn.start_soon(
async_handler,
widget,
event_recv_stream,
)
yield

View File

@ -30,34 +30,35 @@ from typing import (
import platform
import traceback
# Qt specific
import PyQt5 # noqa
from PyQt5.QtWidgets import (
QWidget,
QMainWindow,
QApplication,
)
from PyQt5 import QtCore
from PyQt5.QtCore import (
pyqtRemoveInputHook,
Qt,
QCoreApplication,
)
import qdarkstyle
from qdarkstyle import DarkPalette
# import qdarkgraystyle # TODO: play with it
import trio
from outcome import Error
# Qt version-agnostic
from .qt import (
QWidget,
QMainWindow,
QApplication,
QtCore,
pyqtRemoveInputHook,
Qt,
QCoreApplication,
)
from ..service import (
maybe_open_pikerd,
get_tractor_runtime_kwargs,
get_runtime_vars,
)
from ..log import get_logger
from ._pg_overrides import _do_overrides
from . import _style
if TYPE_CHECKING:
from ._chart import GodWidget
log = get_logger(__name__)
# pyqtgraph global config
@ -146,7 +147,7 @@ def run_qtractor(
# load dark theme
stylesheet = qdarkstyle.load_stylesheet(
qt_api='pyqt5',
qt_api='pyqt6',
palette=DarkPalette,
)
app.setStyleSheet(stylesheet)
@ -173,7 +174,9 @@ def run_qtractor(
instance.window = window
# override tractor's defaults
tractor_kwargs.update(get_tractor_runtime_kwargs())
tractor_kwargs.update(
get_runtime_vars()
)
# define tractor entrypoint
async def main():

View File

@ -28,9 +28,15 @@ from typing import (
)
import trio
from PyQt5 import QtGui
from PyQt5.QtCore import QSize, QModelIndex, Qt, QEvent
from PyQt5.QtWidgets import (
from piker.ui.qt import (
keys,
size_policy,
QtGui,
QSize,
QModelIndex,
Qt,
QEvent,
QWidget,
QLabel,
QComboBox,
@ -39,7 +45,6 @@ from PyQt5.QtWidgets import (
QVBoxLayout,
QFormLayout,
QProgressBar,
QSizePolicy,
QStyledItemDelegate,
QStyleOptionViewItem,
)
@ -71,14 +76,14 @@ class Edit(QLineEdit):
if width_in_chars:
self._chars = int(width_in_chars)
x_size_policy = QSizePolicy.Fixed
x_size_policy = size_policy.Fixed
else:
# chart count which will be used to calculate
# width of input field.
self._chars: int = 6
# fit to surroundingn frame width
x_size_policy = QSizePolicy.Expanding
x_size_policy = size_policy.Expanding
super().__init__(parent)
@ -86,7 +91,7 @@ class Edit(QLineEdit):
# https://doc.qt.io/qt-5/qsizepolicy.html#Policy-enum
self.setSizePolicy(
x_size_policy,
QSizePolicy.Fixed,
size_policy.Fixed,
)
self.setFont(font.font)
@ -180,11 +185,13 @@ class Selection(QComboBox):
self._items: dict[str, int] = {}
super().__init__(parent=parent)
self.setSizeAdjustPolicy(QComboBox.AdjustToContents)
self.setSizeAdjustPolicy(
QComboBox.SizeAdjustPolicy.AdjustToContents,
)
# make line edit expand to surrounding frame
self.setSizePolicy(
QSizePolicy.Expanding,
QSizePolicy.Fixed,
size_policy.Expanding,
size_policy.Fixed,
)
view = self.view()
view.setUniformItemSizes(True)
@ -308,8 +315,8 @@ class FieldsForm(QWidget):
# size it as we specify
self.setSizePolicy(
QSizePolicy.Expanding,
QSizePolicy.Expanding,
size_policy.Expanding,
size_policy.Expanding,
)
# XXX: not sure why we have to create this here exactly
@ -416,8 +423,8 @@ class FieldsForm(QWidget):
select.set_items(values)
self.setSizePolicy(
QSizePolicy.Fixed,
QSizePolicy.Fixed,
size_policy.Fixed,
size_policy.Fixed,
)
select.show()
self.form.addRow(label, select)
@ -437,7 +444,10 @@ async def handle_field_input(
async for kbmsg in recv_chan:
if kbmsg.etype in {QEvent.KeyPress, QEvent.KeyRelease}:
if kbmsg.etype in {
keys.KeyPress,
keys.KeyRelease,
}:
event, etype, key, mods, txt = kbmsg.to_tuple()
print(f'key: {kbmsg.key}, mods: {kbmsg.mods}, txt: {kbmsg.txt}')
@ -703,7 +713,8 @@ def mk_fill_status_bar(
)
bottom_label = form.add_field_label(
'x: {step_size}',
# 'x: {step_size}',
'{unit_prefix}: {step_size}',
font_size=bar_label_font_size,
font_color='gunmetal',
)

View File

@ -181,7 +181,10 @@ async def open_fsp_sidepane(
async def open_fsp_actor_cluster(
names: list[str] = ['fsp_0', 'fsp_1'],
) -> AsyncGenerator[int, dict[str, tractor.Portal]]:
) -> AsyncGenerator[
int,
dict[str, tractor.Portal]
]:
from tractor._clustering import open_actor_cluster
@ -390,7 +393,7 @@ class FspAdmin:
complete: trio.Event,
started: trio.Event,
fqme: str,
dst_fsp_flume: Flume,
dst_flume: Flume,
conf: dict,
target: Fsp,
loglevel: str,
@ -408,16 +411,14 @@ class FspAdmin:
# chaining entrypoint
cascade,
# TODO: can't we just drop this and expect
# far end to read the src flume's .mkt.fqme?
# data feed key
fqme=fqme,
# TODO: pass `Flume.to_msg()`s here?
# mems
src_shm_token=self.flume.rt_shm.token,
dst_shm_token=dst_fsp_flume.rt_shm.token,
# target
ns_path=ns_path,
src_flume_addr=self.flume.to_msg(),
dst_flume_addr=dst_flume.to_msg(),
ns_path=ns_path, # edge-bind-func
loglevel=loglevel,
zero_on_step=conf.get('zero_on_step', False),
@ -431,14 +432,14 @@ class FspAdmin:
ctx.open_stream() as stream,
):
dst_fsp_flume.stream: tractor.MsgStream = stream
dst_flume.stream: tractor.MsgStream = stream
# register output data
self._registry[
(fqme, ns_path)
] = (
stream,
dst_fsp_flume.rt_shm,
dst_flume.rt_shm,
complete
)
@ -515,7 +516,7 @@ class FspAdmin:
broker='piker',
_atype='fsp',
)
dst_fsp_flume = Flume(
dst_flume = Flume(
mkt=mkt,
_rt_shm_token=dst_shm.token,
first_quote={},
@ -543,13 +544,13 @@ class FspAdmin:
complete,
started,
fqme,
dst_fsp_flume,
dst_flume,
conf,
target,
loglevel,
)
return dst_fsp_flume, started
return dst_flume, started
async def open_fsp_chart(
self,
@ -559,7 +560,7 @@ class FspAdmin:
conf: dict, # yeah probably dumb..
loglevel: str = 'error',
) -> (trio.Event, ChartPlotWidget):
) -> trio.Event:
flume, started = await self.start_engine_task(
target,
@ -926,7 +927,7 @@ async def start_fsp_displays(
linked: LinkedSplits,
flume: Flume,
group_status_key: str,
# group_status_key: str,
loglevel: str,
) -> None:
@ -973,21 +974,23 @@ async def start_fsp_displays(
flume,
) as admin,
):
statuses = []
statuses: list[trio.Event] = []
for target, conf in fsp_conf.items():
started = await admin.open_fsp_chart(
started: trio.Event = await admin.open_fsp_chart(
target,
conf,
)
done = linked.window().status_bar.open_status(
f'loading fsp, {target}..',
group_key=group_status_key,
)
statuses.append((started, done))
# done = linked.window().status_bar.open_status(
# f'loading fsp, {target}..',
# group_key=group_status_key,
# )
# statuses.append((started, done))
statuses.append(started)
for fsp_loaded, status_cb in statuses:
# for fsp_loaded, status_cb in statuses:
for fsp_loaded in statuses:
await fsp_loaded.wait()
profiler(f'attached to fsp portal: {target}')
status_cb()
# status_cb()
# blocks on nursery until all fsp actors complete

View File

@ -15,15 +15,18 @@
# along with this program. If not, see <https://www.gnu.org/licenses/>.
'''
``QIcon`` hackery.
`QIcon` hackery.
Mostly dynamically loading pixmaps for use with `QGraphicsScene`.
'''
from PyQt5.QtWidgets import QStyle
from PyQt5.QtGui import (
QIcon, QPixmap, QColor
from piker.ui.qt import (
QSize,
QStyle,
QIcon,
QPixmap,
QColor,
)
from PyQt5.QtCore import QSize
from ._style import hcolor
# https://www.pythonguis.com/faq/built-in-qicons-pyqt/
@ -44,7 +47,8 @@ def mk_icons(
size: QSize,
) -> dict[str, QIcon]:
'''This helper is indempotent.
'''
This helper is indempotent.
'''
global _icons, _icon_names
@ -56,7 +60,11 @@ def mk_icons(
# load account selection using current style
for name, icon_name in _icon_names.items():
stdpixmap = getattr(QStyle, icon_name)
stdpixmap = getattr(
# https://www.pythonguis.com/faq/built-in-qicons-pyqt/
QStyle.StandardPixmap, # pyqt/pyside6
icon_name,
)
stdicon = style.standardIcon(stdpixmap)
pixmap = stdicon.pixmap(size)

View File

@ -23,6 +23,7 @@ from contextlib import (
asynccontextmanager,
ExitStack,
)
from functools import partial
import time
from typing import (
Callable,
@ -30,24 +31,26 @@ from typing import (
)
import pyqtgraph as pg
# from pyqtgraph.GraphicsScene import mouseEvents
from PyQt5.QtWidgets import QGraphicsSceneMouseEvent as gs_mouse
from PyQt5.QtGui import (
QWheelEvent,
)
from PyQt5.QtCore import (
Qt,
QEvent,
)
# NOTE XXX: pg is super annoying and re-implements it's own mouse
# event subsystem.. we should really look into re-working/writing
# this down the road.. Bo
from pyqtgraph.GraphicsScene import mouseEvents as mevs
# from pyqtgraph.GraphicsScene.mouseEvents import MouseDragEvent
from pyqtgraph import (
ViewBox,
Point,
QtCore,
functions as fn,
)
from pyqtgraph import functions as fn
import numpy as np
import trio
from piker.ui.qt import (
QWheelEvent,
QGraphicsSceneMouseEvent as gs_mouse,
Qt,
QEvent,
)
from ..log import get_logger
from ..toolz import (
Profiler,
@ -70,27 +73,28 @@ if TYPE_CHECKING:
)
from ._dataviz import Viz
from .order_mode import OrderMode
from ._display import DisplayState
log = get_logger(__name__)
NUMBER_LINE = {
Qt.Key_1,
Qt.Key_2,
Qt.Key_3,
Qt.Key_4,
Qt.Key_5,
Qt.Key_6,
Qt.Key_7,
Qt.Key_8,
Qt.Key_9,
Qt.Key_0,
Qt.Key.Key_1,
Qt.Key.Key_2,
Qt.Key.Key_3,
Qt.Key.Key_4,
Qt.Key.Key_5,
Qt.Key.Key_6,
Qt.Key.Key_7,
Qt.Key.Key_8,
Qt.Key.Key_9,
Qt.Key.Key_0,
}
ORDER_MODE = {
Qt.Key_A,
Qt.Key_F,
Qt.Key_D,
Qt.Key.Key_A,
Qt.Key.Key_F,
Qt.Key.Key_D,
}
@ -98,6 +102,7 @@ async def handle_viewmode_kb_inputs(
view: ChartView,
recv_chan: trio.abc.ReceiveChannel,
dss: dict[str, DisplayState],
) -> None:
@ -173,17 +178,42 @@ async def handle_viewmode_kb_inputs(
Qt.Key_P,
}
):
import tractor
feed = order_mode.feed # noqa
chart = order_mode.chart # noqa
viz = chart.main_viz # noqa
vlm_chart = chart.linked.subplots['volume'] # noqa
vlm_viz = vlm_chart.main_viz # noqa
dvlm_pi = vlm_chart._vizs['dolla_vlm'].plot # noqa
import tractor
await tractor.pause()
view.interact_graphics_cycle()
# SEARCH MODE #
# FORCE graphics reset-and-render of all currently
# shown data `Viz`s for the current chart app.
if (
ctrl
and key in {
Qt.Key_R,
}
):
fqme: str
ds: DisplayState
for fqme, ds in dss.items():
viz: Viz
for tf, viz in {
60: ds.hist_viz,
1: ds.viz,
}.items():
# TODO: only allow this when the data is IN VIEW!
# also, we probably can do this more efficiently
# / smarter by only redrawing the portion of the
# path necessary?
viz.reset_graphics()
# ------ - ------
# SEARCH MODE
# ------ - ------
# ctlr-<space>/<l> for "lookup", "search" -> open search tree
if (
ctrl
@ -243,8 +273,10 @@ async def handle_viewmode_kb_inputs(
delta=-view.def_delta,
)
elif key == Qt.Key_R:
elif (
not ctrl
and key == Qt.Key_R
):
# NOTE: seems that if we don't yield a Qt render
# cycle then the m4 downsampled curves will show here
# without another reset..
@ -427,6 +459,7 @@ async def handle_viewmode_mouse(
view: ChartView,
recv_chan: trio.abc.ReceiveChannel,
dss: dict[str, DisplayState],
) -> None:
@ -466,6 +499,7 @@ class ChartView(ViewBox):
mode_name: str = 'view'
def_delta: float = 616 * 6
def_scale_factor: float = 1.016 ** (def_delta * -1 / 20)
# annots: dict[int, GraphicsObject] = {}
def __init__(
self,
@ -486,6 +520,7 @@ class ChartView(ViewBox):
# defaultPadding=0.,
**kwargs
)
# for "known y-range style"
self._static_yrange = static_yrange
@ -500,7 +535,11 @@ class ChartView(ViewBox):
# add our selection box annotator
self.select_box = SelectRect(self)
self.addItem(self.select_box, ignoreBounds=True)
# self.select_box.add_to_view(self)
# self.addItem(
# self.select_box,
# ignoreBounds=True,
# )
self.mode = None
self.order_mode: bool = False
@ -557,6 +596,7 @@ class ChartView(ViewBox):
@asynccontextmanager
async def open_async_input_handler(
self,
**handler_kwargs,
) -> ChartView:
@ -567,14 +607,20 @@ class ChartView(ViewBox):
QEvent.KeyPress,
QEvent.KeyRelease,
},
async_handler=handle_viewmode_kb_inputs,
async_handler=partial(
handle_viewmode_kb_inputs,
**handler_kwargs,
),
),
_event.open_handlers(
[self],
event_types={
gs_mouse.GraphicsSceneMousePress,
},
async_handler=handle_viewmode_mouse,
async_handler=partial(
handle_viewmode_mouse,
**handler_kwargs,
),
),
):
yield self
@ -711,17 +757,18 @@ class ChartView(ViewBox):
def mouseDragEvent(
self,
ev,
ev: mevs.MouseDragEvent,
axis: int | None = None,
) -> None:
pos = ev.pos()
lastPos = ev.lastPos()
dif = pos - lastPos
dif = dif * -1
pos: Point = ev.pos()
lastPos: Point = ev.lastPos()
dif: Point = (pos - lastPos) * -1
# dif: Point = pos - lastPos
# dif: Point = dif * -1
# NOTE: if axis is specified, event will only affect that axis.
button = ev.button()
btn = ev.button()
# Ignore axes if mouse is disabled
mouseEnabled = np.array(
@ -733,7 +780,7 @@ class ChartView(ViewBox):
mask[1-axis] = 0.0
# Scale or translate based on mouse button
if button & (
if btn & (
QtCore.Qt.LeftButton | QtCore.Qt.MidButton
):
# zoom y-axis ONLY when click-n-drag on it
@ -756,34 +803,55 @@ class ChartView(ViewBox):
# XXX: WHY
ev.accept()
down_pos = ev.buttonDownPos()
down_pos: Point = ev.buttonDownPos(
btn=btn,
)
scen_pos: Point = ev.scenePos()
scen_down_pos: Point = ev.buttonDownScenePos(
btn=btn,
)
# This is the final position in the drag
if ev.isFinish():
self.select_box.mouse_drag_released(down_pos, pos)
# import pdbp; pdbp.set_trace()
ax = QtCore.QRectF(down_pos, pos)
ax = self.childGroup.mapRectFromParent(ax)
# NOTE: think of this as a `.mouse_drag_release()`
# (bc HINT that's what i called the shit ass
# method that wrapped this call [yes, as a single
# fucking call] originally.. you bish, guille)
# Bo.. oraleeee
self.select_box.set_scen_pos(
# down_pos,
# pos,
scen_down_pos,
scen_pos,
)
# this is the zoom transform cmd
self.showAxRect(ax)
ax = QtCore.QRectF(down_pos, pos)
ax = self.childGroup.mapRectFromParent(ax)
# self.showAxRect(ax)
# axis history tracking
self.axHistoryPointer += 1
self.axHistory = self.axHistory[
:self.axHistoryPointer] + [ax]
else:
print('drag finish?')
self.select_box.set_pos(down_pos, pos)
self.select_box.set_scen_pos(
# down_pos,
# pos,
scen_down_pos,
scen_pos,
)
# update shape of scale box
# self.updateScaleBox(ev.buttonDownPos(), ev.pos())
self.updateScaleBox(
down_pos,
ev.pos(),
)
# breakpoint()
# self.updateScaleBox(
# down_pos,
# ev.pos(),
# )
# PANNING MODE
else:
@ -822,7 +890,7 @@ class ChartView(ViewBox):
# ev.accept()
# WEIRD "RIGHT-CLICK CENTER ZOOM" MODE
elif button & QtCore.Qt.RightButton:
elif btn & QtCore.Qt.RightButton:
if self.state['aspectLocked'] is not False:
mask[0] = 0

View File

@ -21,9 +21,12 @@ Double auction top-of-book (L1) graphics.
from typing import Tuple
import pyqtgraph as pg
from PyQt5 import QtCore, QtGui
from PyQt5.QtCore import QPointF
from piker.ui.qt import (
QPointF,
QtCore,
QtGui,
)
from ._axes import YAxisLabel
from ._style import hcolor
from ._pg_overrides import PlotItem

View File

@ -25,10 +25,17 @@ from typing import (
)
import pyqtgraph as pg
from PyQt5 import QtGui, QtWidgets
from PyQt5.QtWidgets import QLabel, QSizePolicy
from PyQt5.QtCore import QPointF, QRectF, Qt
from piker.ui.qt import (
px_cache_mode,
QtGui,
QtWidgets,
QLabel,
size_policy,
QPointF,
QRectF,
Qt,
)
from ._style import (
DpiAwareFont,
hcolor,
@ -78,7 +85,7 @@ class Label:
self._x_offset = x_offset
txt = self.txt = QtWidgets.QGraphicsTextItem(parent=parent)
txt.setCacheMode(QtWidgets.QGraphicsItem.DeviceCoordinateCache)
txt.setCacheMode(px_cache_mode.DeviceCoordinateCache)
vb.scene().addItem(txt)
@ -103,7 +110,7 @@ class Label:
self._anchor_func = self.txt.pos().x
# not sure if this makes a diff
self.txt.setCacheMode(QtWidgets.QGraphicsItem.DeviceCoordinateCache)
self.txt.setCacheMode(px_cache_mode.DeviceCoordinateCache)
# TODO: edit and selection support
# https://doc.qt.io/qt-5/qt.html#TextInteractionFlag-enum
@ -299,12 +306,14 @@ class FormatLabel(QLabel):
"""
)
self.setFont(_font.font)
self.setTextFormat(Qt.MarkdownText) # markdown
self.setTextFormat(
Qt.TextFormat.MarkdownText
)
self.setMargin(0)
self.setSizePolicy(
QSizePolicy.Expanding,
QSizePolicy.Expanding,
size_policy.Expanding,
size_policy.Expanding,
)
self.setAlignment(
Qt.AlignVCenter | Qt.AlignLeft

View File

@ -27,10 +27,22 @@ from typing import (
)
import pyqtgraph as pg
from pyqtgraph import Point, functions as fn
from PyQt5 import QtCore, QtGui, QtWidgets
from PyQt5.QtCore import QPointF
from pyqtgraph import (
Point,
functions as fn,
)
from piker.ui.qt import (
px_cache_mode,
QtCore,
QtGui,
QGraphicsPathItem,
QStyleOptionGraphicsItem,
QGraphicsItem,
QGraphicsScene,
QWidget,
QPointF,
)
from ._annotate import LevelMarker
from ._anchors import (
vbr_left,
@ -130,7 +142,9 @@ class LevelLine(pg.InfiniteLine):
self._right_end_sc: float = 0
# use px caching
self.setCacheMode(QtWidgets.QGraphicsItem.DeviceCoordinateCache)
self.setCacheMode(
px_cache_mode.DeviceCoordinateCache
)
def txt_offsets(self) -> tuple[int, int]:
return 0, 0
@ -201,7 +215,7 @@ class LevelLine(pg.InfiniteLine):
) -> None:
if not called_from_on_pos_change:
last = self.value()
last: float = self.value()
# if the position hasn't changed then ``.update_labels()``
# will not be called by a non-triggered `.on_pos_change()`,
@ -308,7 +322,7 @@ class LevelLine(pg.InfiniteLine):
Remove this line from containing chart/view/scene.
'''
scene = self.scene()
scene: QGraphicsScene = self.scene()
if scene:
for label in self._labels:
label.delete()
@ -339,8 +353,8 @@ class LevelLine(pg.InfiniteLine):
self,
p: QtGui.QPainter,
opt: QtWidgets.QStyleOptionGraphicsItem,
w: QtWidgets.QWidget
opt: QStyleOptionGraphicsItem,
w: QWidget
) -> None:
'''
@ -417,9 +431,9 @@ class LevelLine(pg.InfiniteLine):
def add_marker(
self,
path: QtWidgets.QGraphicsPathItem,
path: QGraphicsPathItem,
) -> QtWidgets.QGraphicsPathItem:
) -> QGraphicsPathItem:
self._marker = path
self._marker.setPen(self.currentPen)

View File

@ -20,16 +20,14 @@ Super fast OHLC sampling graphics types.
from __future__ import annotations
import numpy as np
from PyQt5 import (
from piker.ui.qt import (
QtGui,
QtWidgets,
)
from PyQt5.QtCore import (
QPainterPath,
QLineF,
QRectF,
)
from PyQt5.QtGui import QPainterPath
from ._curve import FlowGraphic
from ..toolz import (
Profiler,

View File

@ -24,8 +24,6 @@ view transforms.
"""
import pyqtgraph as pg
from ._axes import Axis
def invertQTransform(tr):
"""Return a QTransform that is the inverse of *tr*.
@ -53,6 +51,9 @@ def _do_overrides() -> None:
pg.functions.invertQTransform = invertQTransform
pg.PlotItem = PlotItem
from ._axes import Axis
pg.Axis = Axis
# enable "QPainterPathPrivate for faster arrayToQPath" from
# https://github.com/pyqtgraph/pyqtgraph/pull/2324
pg.setConfigOption('enableExperimental', True)
@ -234,7 +235,7 @@ class PlotItem(pg.PlotItem):
# ``ViewBox`` geometry bug.. where a gap for the
# 'bottom' axis is somehow left in?
# axis = pg.AxisItem(orientation=name, parent=self)
axis = Axis(
axis = pg.Axis(
self,
orientation=name,
parent=self,

View File

@ -344,7 +344,10 @@ class SettingsPane:
dsize = tracker.live_pp.dsize
# READ out settings and update the status UI / settings widgets
suffix = {'currency': ' $', 'units': ' u'}[alloc.size_unit]
unit_char: str = {
'currency': '$',
'units': 'u',
}[alloc.size_unit]
size_unit, limit = alloc.limit_info()
step_size, currency_per_slot = alloc.step_sizes()
@ -358,10 +361,11 @@ class SettingsPane:
self.apply_setting('limit', limit)
self.step_label.format(
step_size=str(humanize(step_size)) + suffix
unit_prefix=unit_char,
step_size=str(humanize(step_size))
)
self.limit_label.format(
limit=str(humanize(limit)) + suffix
limit=f'{unit_char}: {str(humanize(limit))}'
)
# update size unit in UI

View File

@ -0,0 +1,426 @@
# piker: trading gear for hackers
# Copyright (C) Tyler Goodlet (in stewardship for pikers)
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU Affero General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU Affero General Public License for more details.
# You should have received a copy of the GNU Affero General Public License
# along with this program. If not, see <https://www.gnu.org/licenses/>.
'''
Remote control tasks for sending annotations (and maybe more cmds)
to a chart from some other actor.
'''
from __future__ import annotations
from contextlib import (
asynccontextmanager as acm,
AsyncExitStack,
)
from functools import partial
from pprint import pformat
from typing import (
# Any,
AsyncContextManager,
)
import tractor
from tractor import trionics
from tractor import (
Portal,
Context,
MsgStream,
)
from piker.log import get_logger
from piker.types import Struct
from piker.service import find_service
from piker.brokers import SymbolNotFound
from piker.ui.qt import (
QGraphicsItem,
)
from ._display import DisplayState
from ._interaction import ChartView
from ._editors import SelectRect
from ._chart import ChartPlotWidget
from ._dataviz import Viz
log = get_logger(__name__)
# NOTE: this is UPDATED by the `._display.graphics_update_loop()`
# once all chart widgets / Viz per flume have been initialized
# allowing for remote annotation (control) of any chart-actor's mkt
# feed by fqme lookup Bo
_dss: dict[str, DisplayState] = {}
# stash each and every client connection so that they can all
# be cancelled on shutdown/error.
# TODO: make `tractor.Context` hashable via is `.cid: str`?
# _ctxs: set[Context] = set()
# TODO: use type statements from 3.12+
IpcCtxTable = dict[
str, # each `Context.cid`
tuple[
Context, # handle for ctx-cancellation
set[int] # set of annotation (instance) ids
]
]
_ctxs: IpcCtxTable = {}
# XXX: global map of all uniquely created annotation-graphics so
# that they can be mutated (eventually) by a client.
# NOTE: this map is only populated on the `chart` actor side (aka
# the "annotations server" which actually renders to a Qt canvas).
# type AnnotsTable = dict[int, QGraphicsItem]
AnnotsTable = dict[int, QGraphicsItem]
_annots: AnnotsTable = {}
async def serve_rc_annots(
ipc_key: str,
annot_req_stream: MsgStream,
dss: dict[str, DisplayState],
ctxs: IpcCtxTable,
annots: AnnotsTable,
) -> None:
async for msg in annot_req_stream:
match msg:
case {
'cmd': 'SelectRect',
'fqme': fqme,
'timeframe': timeframe,
'meth': str(meth),
'kwargs': dict(kwargs),
}:
ds: DisplayState = _dss[fqme]
chart: ChartPlotWidget = {
60: ds.hist_chart,
1: ds.chart,
}[timeframe]
cv: ChartView = chart.cv
# annot type lookup from cmd
rect = SelectRect(
viewbox=cv,
# TODO: make this more dynamic?
# -[ ] pull from conf.toml?
# -[ ] add `.set_color()` method to type?
# -[ ] make a green/red based on direction
# instead of default static color?
color=kwargs.pop('color', None),
)
# XXX NOTE: this is REQUIRED to set the rect
# resize callback!
rect.chart: ChartPlotWidget = chart
# delegate generically to the requested method
getattr(rect, meth)(**kwargs)
rect.show()
aid: int = id(rect)
annots[aid] = rect
aids: set[int] = ctxs[ipc_key][1]
aids.add(aid)
await annot_req_stream.send(aid)
case {
'cmd': 'remove',
'aid': int(aid),
}:
# NOTE: this is normally entered on
# a client's annotation de-alloc normally
# prior to detach or modify.
annot: QGraphicsItem = annots[aid]
annot.delete()
# respond to client indicating annot
# was indeed deleted.
await annot_req_stream.send(aid)
case {
'cmd': 'redraw',
'fqme': fqme,
'timeframe': timeframe,
# TODO: maybe more fields?
# 'render': int(aid),
# 'viz_name': str(viz_name),
}:
# NOTE: old match from the 60s display loop task
# | {
# 'backfilling': (str(viz_name), timeframe),
# }:
ds: DisplayState = _dss[fqme]
viz: Viz = {
60: ds.hist_viz,
1: ds.viz,
}[timeframe]
log.warning(
f'Forcing VIZ REDRAW:\n'
f'fqme: {fqme}\n'
f'timeframe: {timeframe}\n'
)
viz.reset_graphics()
case _:
log.error(
'Unknown remote annotation cmd:\n'
f'{pformat(msg)}'
)
@tractor.context
async def remote_annotate(
ctx: Context,
) -> None:
global _dss, _ctxs
assert _dss
_ctxs[ctx.cid] = (ctx, set())
# send back full fqme symbology to caller
await ctx.started(list(_dss))
# open annot request handler stream
async with ctx.open_stream() as annot_req_stream:
try:
await serve_rc_annots(
ipc_key=ctx.cid,
annot_req_stream=annot_req_stream,
dss=_dss,
ctxs=_ctxs,
annots=_annots,
)
finally:
# ensure all annots for this connection are deleted
# on any final teardown
(_ctx, aids) = _ctxs[ctx.cid]
assert _ctx is ctx
for aid in aids:
annot: QGraphicsItem = _annots[aid]
annot.delete()
class AnnotCtl(Struct):
'''
A control for remote "data annotations".
You know those "squares they always show in machine vision
UIs.." this API allows you to remotely control stuff like that
in some other graphics actor.
'''
ctx2fqmes: dict[str, str]
fqme2ipc: dict[str, MsgStream]
_annot_stack: AsyncExitStack
# runtime-populated mapping of all annotation
# ids to their equivalent IPC msg-streams.
_ipcs: dict[int, MsgStream] = {}
def _get_ipc(
self,
fqme: str,
) -> MsgStream:
ipc: MsgStream = self.fqme2ipc.get(fqme)
if ipc is None:
raise SymbolNotFound(
'No chart (actor) seems to have mkt feed loaded?\n'
f'{fqme}'
)
return ipc
async def add_rect(
self,
fqme: str,
timeframe: float,
start_pos: tuple[float, float],
end_pos: tuple[float, float],
# TODO: a `Literal['view', 'scene']` for this?
domain: str = 'view', # or 'scene'
color: str = 'dad_blue',
from_acm: bool = False,
) -> int:
'''
Add a `SelectRect` annotation to the target view, return
the instances `id(obj)` from the remote UI actor.
'''
ipc: MsgStream = self._get_ipc(fqme)
await ipc.send({
'fqme': fqme,
'cmd': 'SelectRect',
'timeframe': timeframe,
# 'meth': str(meth),
'meth': 'set_view_pos' if domain == 'view' else 'set_scene_pos',
'kwargs': {
'start_pos': tuple(start_pos),
'end_pos': tuple(end_pos),
'color': color,
'update_label': False,
},
})
aid: int = await ipc.receive()
self._ipcs[aid] = ipc
if not from_acm:
self._annot_stack.push_async_callback(
partial(
self.remove,
aid,
)
)
return aid
async def remove(
self,
aid: int,
) -> bool:
'''
Remove an existing annotation by instance id.
'''
ipc: MsgStream = self._ipcs[aid]
await ipc.send({
'cmd': 'remove',
'aid': aid,
})
removed: bool = await ipc.receive()
return removed
@acm
async def open_rect(
self,
**kwargs,
) -> int:
try:
aid: int = await self.add_rect(
from_acm=True,
**kwargs,
)
yield aid
finally:
await self.remove(aid)
async def redraw(
self,
fqme: str,
timeframe: float,
) -> None:
await self._get_ipc(fqme).send({
'cmd': 'redraw',
'fqme': fqme,
# 'render': int(aid),
# 'viz_name': str(viz_name),
'timeframe': timeframe,
})
# TODO: do we even need this?
# async def modify(
# self,
# aid: int, # annotation id
# meth: str, # far end graphics object method to invoke
# params: dict[str, Any], # far end `meth(**kwargs)`
# ) -> bool:
# '''
# Modify an existing (remote) annotation's graphics
# paramters, thus changing it's appearance / state in real
# time.
# '''
# raise NotImplementedError
@acm
async def open_annot_ctl(
uid: tuple[str, str] | None = None,
) -> AnnotCtl:
# TODO: load connetion to a specific chart actor
# -[ ] pull from either service scan or config
# -[ ] return some kinda client/proxy thinger?
# -[ ] maybe we should finally just provide this as
# a `tractor.hilevel.CallableProxy` or wtv?
# -[ ] use this from the storage.cli stuff to mark up gaps!
maybe_portals: list[Portal] | None
fqmes: list[str]
async with find_service(
service_name='chart',
first_only=False,
) as maybe_portals:
ctx_mngrs: list[AsyncContextManager] = []
# TODO: print the current discoverable actor UID set
# here as well?
if not maybe_portals:
raise RuntimeError('No chart UI actors found in service domain?')
for portal in maybe_portals:
ctx_mngrs.append(
portal.open_context(remote_annotate)
)
ctx2fqmes: dict[str, set[str]] = {}
fqme2ipc: dict[str, MsgStream] = {}
stream_ctxs: list[AsyncContextManager] = []
async with (
trionics.gather_contexts(ctx_mngrs) as ctxs,
):
for (ctx, fqmes) in ctxs:
stream_ctxs.append(ctx.open_stream())
# fill lookup table of mkt addrs to IPC ctxs
for fqme in fqmes:
if other := fqme2ipc.get(fqme):
raise ValueError(
f'More then one chart displays {fqme}!?\n'
'Other UI actor info:\n'
f'channel: {other._ctx.chan}]\n'
f'actor uid: {other._ctx.chan.uid}]\n'
f'ctx id: {other._ctx.cid}]\n'
)
ctx2fqmes.setdefault(
ctx.cid,
set(),
).add(fqme)
async with trionics.gather_contexts(stream_ctxs) as streams:
for stream in streams:
fqmes: set[str] = ctx2fqmes[stream._ctx.cid]
for fqme in fqmes:
fqme2ipc[fqme] = stream
# NOTE: on graceful teardown we always attempt to
# remove all annots that were created by the
# entering client.
# TODO: should we maybe instead/also do this on the
# server-actor side so that when a client
# disconnects we always delete all annotations by
# default instaead of expecting the client to?
async with AsyncExitStack() as annots_stack:
client = AnnotCtl(
ctx2fqmes=ctx2fqmes,
fqme2ipc=fqme2ipc,
_annot_stack=annots_stack,
)
yield client

View File

@ -30,8 +30,8 @@ from typing import (
import msgspec
import numpy as np
import pyqtgraph as pg
from PyQt5.QtGui import QPainterPath
from piker.ui.qt import QPainterPath
from ..data._formatters import (
IncrementalFormatter,
)

View File

@ -43,32 +43,29 @@ from typing import (
Iterator,
)
import time
# from pprint import pformat
from pprint import pformat
from rapidfuzz import process as fuzzy
import trio
from trio_typing import TaskStatus
from PyQt5 import QtCore
from PyQt5 import QtWidgets
from PyQt5.QtCore import (
from piker.ui.qt import (
size_policy,
align_flag,
Qt,
QtCore,
QtWidgets,
QModelIndex,
QItemSelectionModel,
)
from PyQt5.QtGui import (
# QLayout,
QStandardItem,
QStandardItemModel,
)
from PyQt5.QtWidgets import (
QWidget,
QTreeView,
# QListWidgetItem,
# QAbstractScrollArea,
# QStyledItemDelegate,
)
from ..log import get_logger
from ._style import (
_font,
@ -129,8 +126,8 @@ class CompleterView(QTreeView):
# ux settings
self.setSizePolicy(
QtWidgets.QSizePolicy.Expanding,
QtWidgets.QSizePolicy.Expanding,
size_policy.Expanding,
size_policy.Expanding,
)
self.setItemsExpandable(True)
self.setExpandsOnDoubleClick(False)
@ -567,8 +564,8 @@ class SearchWidget(QtWidgets.QWidget):
# size it as we specify
self.setSizePolicy(
QtWidgets.QSizePolicy.Fixed,
QtWidgets.QSizePolicy.Fixed,
size_policy.Fixed,
size_policy.Fixed,
)
self.godwidget = godwidget
@ -592,14 +589,16 @@ class SearchWidget(QtWidgets.QWidget):
}}
"""
)
label.setTextFormat(3) # markdown
label.setTextFormat(
Qt.TextFormat.MarkdownText
)
label.setFont(_font.font)
label.setMargin(4)
label.setText("search:")
label.show()
label.setAlignment(
QtCore.Qt.AlignVCenter
| QtCore.Qt.AlignLeft
align_flag.AlignVCenter
| align_flag.AlignLeft
)
self.bar_hbox.addWidget(label)
@ -617,9 +616,17 @@ class SearchWidget(QtWidgets.QWidget):
self.vbox.addLayout(self.bar_hbox)
self.vbox.setAlignment(self.bar, Qt.AlignTop | Qt.AlignRight)
self.vbox.setAlignment(
self.bar,
align_flag.AlignTop
| align_flag.AlignRight,
)
self.vbox.addWidget(self.bar.view)
self.vbox.setAlignment(self.view, Qt.AlignTop | Qt.AlignLeft)
self.vbox.setAlignment(
self.view,
align_flag.AlignTop
| align_flag.AlignLeft,
)
def focus(self) -> None:
self.show()
@ -1139,21 +1146,25 @@ async def search_simple_dict(
) -> dict[str, Any]:
tokens = []
tokens: list[str] = []
for key in source:
if not isinstance(key, str):
tokens.extend(key)
else:
tokens.append(key)
match key:
case str():
tokens.append(key)
case []:
tokens.extend(key)
# search routine can be specified as a function such
# as in the case of the current app's local symbol cache
matches = fuzzy.extractBests(
matches = fuzzy.extract(
text,
tokens,
score_cutoff=90,
)
log.info(
'cache search results:\n'
f'{pformat(matches)}'
)
return [item[0] for item in matches]

View File

@ -22,10 +22,14 @@ from typing import Dict
import math
import pyqtgraph as pg
from PyQt5 import QtCore, QtGui
from PyQt5.QtCore import Qt, QCoreApplication
from qdarkstyle import DarkPalette
from .qt import (
QtCore,
QtGui,
Qt,
QCoreApplication,
)
from ..log import get_logger
from .. import config

View File

@ -27,16 +27,14 @@ from typing import (
)
import uuid
from PyQt5 import QtCore
from PyQt5.QtWidgets import (
from piker.ui.qt import (
Qt,
QtCore,
QWidget,
QMainWindow,
QApplication,
QLabel,
QStatusBar,
)
from PyQt5.QtGui import (
QScreen,
QCloseEvent,
)
@ -197,7 +195,9 @@ class MainWindow(QMainWindow):
"""
# font-size : {font_size}px;
)
label.setTextFormat(3) # markdown
label.setTextFormat(
Qt.TextFormat.MarkdownText
)
label.setFont(_font_small.font)
label.setMargin(2)
label.setAlignment(

View File

@ -96,9 +96,17 @@ def monitor(config, rate, name, dhost, test, tl):
@click.option('--rate', '-r', default=1, help='Logging level')
@click.argument('symbol', required=True)
@click.pass_obj
def optschain(config, symbol, date, rate, test):
"""Start an option chain UI
"""
def optschain(
config,
symbol,
date,
rate,
test,
):
'''
Start an option chain UI
'''
# global opts
loglevel = config['loglevel']
brokername = config['broker']
@ -132,21 +140,23 @@ def optschain(config, symbol, date, rate, test):
default=None,
help='Enable pyqtgraph profiling'
)
@click.option(
'--pdb',
is_flag=True,
help='Enable tractor debug mode'
)
# @click.option(
# '--pdb',
# is_flag=True,
# help='Enable tractor debug mode'
# )
@click.argument('symbols', nargs=-1, required=True)
# @click.pass_context
@click.pass_obj
def chart(
config,
# ctx: click.Context,
symbols: list[str],
profile,
pdb: bool,
):
'''
Start a real-time chartng UI
Run chart UI app, spawning service daemons dynamically as
needed if not discovered via [network] config.
'''
# eg. ``--profile 3`` reports profiling for anything slower then 3 ms.
@ -173,14 +183,55 @@ def chart(
tractorloglevel = config['tractorloglevel']
pikerloglevel = config['loglevel']
_main(
syms=symbols,
brokermods=brokermods,
piker_loglevel=pikerloglevel,
tractor_kwargs={
'debug_mode': pdb,
'loglevel': tractorloglevel,
'name': 'chart',
'registry_addr': config.get('registry_addr'),
},
maddrs: list[tuple[str, int]] = config.get(
'maddrs',
[],
)
# if maddrs:
# from tractor._multiaddr import parse_maddr
# for addr in maddrs:
# breakpoint()
# layers: dict = parse_maddr(addr)
regaddrs: list[tuple[str, int]] = config.get(
'registry_addrs',
[],
)
from ..config import load
conf, _ = load(
conf_name='conf',
)
network: dict = conf.get('network')
if network:
from ..cli import load_trans_eps
eps: dict = load_trans_eps(
network,
maddrs,
)
for layers in eps['pikerd']:
regaddrs.append((
layers['ipv4']['addr'],
layers['tcp']['port'],
))
from tractor.devx import maybe_open_crash_handler
pdb: bool = config['pdb']
with maybe_open_crash_handler(pdb=pdb):
_main(
syms=symbols,
brokermods=brokermods,
piker_loglevel=pikerloglevel,
tractor_kwargs={
'debug_mode': pdb,
'loglevel': tractorloglevel,
'name': 'chart',
'registry_addrs': list(set(regaddrs)),
'enable_modules': [
# remote data-view annotations Bo
'piker.ui._remote_ctl',
],
},
)

View File

@ -34,7 +34,6 @@ import uuid
from bidict import bidict
import tractor
import trio
from PyQt5.QtCore import Qt
from piker import config
from piker.accounting import (
@ -59,6 +58,7 @@ from piker.data import (
)
from piker.types import Struct
from piker.log import get_logger
from piker.ui.qt import Qt
from ._editors import LineEditor, ArrowEditor
from ._lines import order_line, LevelLine
from ._position import (
@ -358,7 +358,7 @@ class OrderMode:
send_msg: bool = True,
order: Order | None = None,
) -> Dialog:
) -> Dialog|None:
'''
Send execution order to EMS return a level line to
represent the order on a chart.
@ -378,6 +378,16 @@ class OrderMode:
'oid': oid,
})
if order.price <= 0:
log.error(
'*!? Invalid `Order.price <= 0` ?!*\n'
# TODO: make this present multi-line in object form
# like `ib_insync.contracts.Contract.__repr__()`
f'{order}\n'
)
self.cancel_orders([order.oid])
return None
lines = self.lines_from_order(
order,
show_markers=True,
@ -484,7 +494,7 @@ class OrderMode:
uuid: str,
order: Order | None = None,
) -> Dialog:
) -> Dialog | None:
'''
Order submitted status event handler.
@ -505,6 +515,11 @@ class OrderMode:
# if an order msg is provided update the line
# **from** that msg.
if order:
if order.price <= 0:
log.error(f'Order has 0 price, cancelling..\n{order}')
self.cancel_orders([order.oid])
return None
line.set_level(order.price)
self.on_level_change_update_next_order_info(
level=order.price,
@ -613,13 +628,13 @@ class OrderMode:
oids: set[str] = set()
for line in lines:
dialog: Dialog = getattr(line, 'dialog', None)
oid: str = dialog.uuid
if (
dialog
and oid not in oids
):
oids.add(oid)
if dialog := getattr(line, 'dialog', None):
oid: str = dialog.uuid
if (
dialog
and oid not in oids
):
oids.add(oid)
return oids
@ -663,7 +678,7 @@ class OrderMode:
self,
msg: Status,
) -> Dialog:
) -> Dialog | None:
# NOTE: the `.order` attr **must** be set with the
# equivalent order msg in order to be loaded.
order = msg.req
@ -694,12 +709,15 @@ class OrderMode:
fqsn=fqme,
info={},
)
dialog = self.submit_order(
maybe_dialog: Dialog | None = self.submit_order(
send_msg=False,
order=order,
)
assert self.dialogs[oid] == dialog
return dialog
if maybe_dialog is None:
return None
assert self.dialogs[oid] == maybe_dialog
return maybe_dialog
@asynccontextmanager
@ -930,13 +948,8 @@ async def open_order_mode(
msg,
)
# start async input handling for chart's view
async with (
# ``ChartView`` input async handler startup
chart.view.open_async_input_handler(),
hist_chart.view.open_async_input_handler(),
# pp pane kb inputs
open_form_input_handling(
form,
@ -1005,8 +1018,13 @@ async def process_trade_msg(
) -> tuple[Dialog, Status]:
fmsg = pformat(msg)
log.debug(f'Received order msg:\n{fmsg}')
# TODO: obvi once we're parsing to native struct instances we can
# drop the `pformat()` call Bo
fmtmsg: Struct | dict = msg
if not isinstance(msg, Struct):
fmtmsg: str = pformat(msg)
log.debug(f'Received order msg:\n{fmtmsg}')
name = msg['name']
if name in (
@ -1022,7 +1040,7 @@ async def process_trade_msg(
):
log.info(
f'Loading position for `{fqme}`:\n'
f'{fmsg}'
f'{fmtmsg}'
)
tracker = mode.trackers[msg['account']]
tracker.live_pp.update_from_msg(msg)
@ -1064,7 +1082,7 @@ async def process_trade_msg(
elif order.action != 'cancel':
log.warning(
f'received msg for untracked dialog:\n{fmsg}'
f'received msg for untracked dialog:\n{fmtmsg}'
)
assert msg.resp in ('open', 'dark_open'), f'Unknown msg: {msg}'
@ -1084,8 +1102,25 @@ async def process_trade_msg(
)
):
msg.req = order
dialog = mode.load_unknown_dialog_from_msg(msg)
mode.on_submit(oid)
dialog: (
Dialog
# NOTE: on an invalid order submission (eg.
# price <=0) the downstream APIs may return
# a null.
| None
) = mode.load_unknown_dialog_from_msg(msg)
# cancel any invalid pre-existing order!
if dialog is None:
log.warning(
'Order was ignored/invalid?\n'
f'{order}'
)
# if valid, display the order line the same as if
# it was submitted during this UI session.
else:
mode.on_submit(oid)
case Status(resp='error'):
@ -1114,7 +1149,7 @@ async def process_trade_msg(
req={'exec_mode': 'dark'},
):
# TODO: UX for a "pending" clear/live order
log.info(f'Dark order triggered for {fmsg}')
log.info(f'Dark order triggered for {fmtmsg}')
case Status(
resp='triggered',

104
piker/ui/qt.py 100644
View File

@ -0,0 +1,104 @@
# piker: trading gear for hackers
# Copyright (C) Tyler Goodlet (in stewardship for pikers)
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU Affero General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU Affero General Public License for more details.
# You should have received a copy of the GNU Affero General Public License
# along with this program. If not, see <https://www.gnu.org/licenses/>.
'''
Qt UI framework version shimming.
Allow importing sub-pkgs from this module instead of worrying about
major version specifics, any enum moves or component renames.
Code in `piker.ui.*` should always explicitlyimport directly from
this module like `from piker.ui.qt import ( ..`
'''
from enum import EnumType
from PyQt6 import (
QtCore,
QtGui,
QtWidgets,
)
from PyQt6.QtCore import (
Qt,
QCoreApplication,
QLineF,
QRectF,
# NOTE: for enums use the `.Type` subattr-space
QEvent,
QPointF,
QSize,
QModelIndex,
QItemSelectionModel,
pyqtBoundSignal,
pyqtRemoveInputHook,
)
align_flag: EnumType = Qt.AlignmentFlag
txt_flag: EnumType = Qt.TextFlag
keys: EnumType = QEvent.Type
scrollbar_policy: EnumType = Qt.ScrollBarPolicy
# ^-NOTE-^: handy snippet to discover enums:
# import enum
# [attr for attr_name in dir(QFrame)
# if (attr := getattr(QFrame, attr_name))
# and isinstance(attr, enum.EnumType)]
from PyQt6.QtGui import (
QPainter,
QPainterPath,
QIcon,
QPixmap,
QColor,
QTransform,
QStandardItem,
QStandardItemModel,
QWheelEvent,
QScreen,
QCloseEvent,
)
from PyQt6.QtWidgets import (
QMainWindow,
QApplication,
QLabel,
QStatusBar,
QLineEdit,
QHBoxLayout,
QVBoxLayout,
QFormLayout,
QProgressBar,
QSizePolicy,
QStyledItemDelegate,
QStyleOptionViewItem,
QComboBox,
QWidget,
QFrame,
QSplitter,
QTreeView,
QStyle,
QGraphicsItem,
QGraphicsPathItem,
# QGraphicsView,
QStyleOptionGraphicsItem,
QGraphicsScene,
QGraphicsSceneMouseEvent,
QGraphicsProxyWidget,
)
gs_keys: EnumType = QGraphicsSceneMouseEvent.Type
size_policy: EnumType = QtWidgets.QSizePolicy.Policy
px_cache_mode: EnumType = QGraphicsItem.CacheMode

View File

@ -31,7 +31,7 @@ import pendulum
import pyqtgraph as pg
from piker.types import Struct
from ..data._timeseries import slice_from_time
from ..tsp import slice_from_time
from ..log import get_logger
from ..toolz import Profiler

View File

@ -15,128 +15,119 @@
# You should have received a copy of the GNU Affero General Public License
# along with this program. If not, see <https://www.gnu.org/licenses/>.
[build-system]
requires = ["poetry-core"]
build-backend = "poetry.core.masonry.api"
requires = ["hatchling"]
build-backend = "hatchling.build"
# ------ - ------
[tool.poetry]
[project]
name = "piker"
version = "0.1.0.alpha0.dev0"
version = "0.1.0a0dev0"
description = "trading gear for hackers"
authors = ["Tyler Goodlet <jgbt@protonmail.com>"]
license = "AGPLv3"
authors = [{ name = "Tyler Goodlet", email = "goodboy_foss@protonmail.com" }]
requires-python = ">=3.12, <3.13"
license = "AGPL-3.0-or-later"
readme = "README.rst"
keywords = [
"async",
"trading",
"finance",
"quant",
"charting",
]
classifiers = [
"Development Status :: 3 - Alpha",
"License :: OSI Approved :: GNU Affero General Public License v3 or later (AGPLv3+)",
"Operating System :: POSIX :: Linux",
"Programming Language :: Python :: Implementation :: CPython",
"Programming Language :: Python :: 3 :: Only",
"Programming Language :: Python :: 3.11",
"Programming Language :: Python :: 3.12",
"Intended Audience :: Financial and Insurance Industry",
"Intended Audience :: Science/Research",
"Intended Audience :: Developers",
"Intended Audience :: Education",
]
dependencies = [
"async-generator >=1.10, <2.0.0",
"attrs >=23.1.0, <24.0.0",
"bidict >=0.22.1, <0.23.0",
"colorama >=0.4.6, <0.5.0",
"colorlog >=6.7.0, <7.0.0",
"ib-insync >=0.9.86, <0.10.0",
"numba >=0.59.0, <0.60.0",
"numpy >=1.25, <2.0",
"polars >=0.18.13, <0.19.0",
"pygments >=2.16.1, <3.0.0",
"rich >=13.5.2, <14.0.0",
"tomli >=2.0.1, <3.0.0",
"tomli-w >=1.0.0, <2.0.0",
"trio-util >=0.7.0, <0.8.0",
"trio-websocket >=0.10.3, <0.11.0",
"typer >=0.9.0, <1.0.0",
"rapidfuzz >=3.5.2, <4.0.0",
"pdbp >=1.5.0, <2.0.0",
"trio >=0.24, <0.25",
"pendulum >=3.0.0, <4.0.0",
"httpx >=0.27.0, <0.28.0",
"cryptofeed >=2.4.0, <3.0.0",
"pyarrow >=17.0.0, <18.0.0",
"websockets ==12.0",
"msgspec",
"tractor",
"asyncvnc",
"tomlkit",
]
# TODO: add meta-data from setup.py
# keywords=[
# "async",
# "trading",
# "finance",
# "quant",
# "charting",
# ],
# classifiers=[
# 'Development Status :: 3 - Alpha',
# 'License :: OSI Approved :: ',
# 'Operating System :: POSIX :: Linux',
# "Programming Language :: Python :: Implementation :: CPython",
# "Programming Language :: Python :: 3 :: Only",
# "Programming Language :: Python :: 3.10",
# "Programming Language :: Python :: 3.11",
# 'Intended Audience :: Financial and Insurance Industry',
# 'Intended Audience :: Science/Research',
# 'Intended Audience :: Developers',
# 'Intended Audience :: Education',
# ],
[project.optional-dependencies]
uis = [
# https://docs.astral.sh/uv/concepts/projects/dependencies/#optional-dependencies
# TODO: make sure the levenshtein shit compiles on nix..
# rapidfuzz = {extras = ["speedup"], version = "^0.18.0"}
"rapidfuzz >=3.2.0, <4.0.0",
"qdarkstyle >=3.0.2, <4.0.0",
"pyqt6 >=6.7.0, <7.0.0",
"pyqtgraph",
# ------ - ------
# for consideration,
# - 'visidata'
[tool.poetry.dependencies]
asks = "^3.0.0"
async-generator = "^1.10"
attrs = "^23.1.0"
bidict = "^0.22.1"
colorama = "^0.4.6"
colorlog = "^6.7.0"
cython = "^3.0.0"
greenback = "^1.1.1"
ib-insync = "^0.9.86"
msgspec = "^0.18.0"
numba = "^0.57.1"
numpy = "1.24"
pendulum = "^2.1.2"
polars = "^0.18.13"
pygments = "^2.16.1"
python = "^3.10"
rich = "^13.5.2"
# setuptools = "^68.0.0"
tomli = "^2.0.1"
tomli-w = "^1.0.0"
trio = "^0.22.2"
trio-util = "^0.7.0"
trio-websocket = "^0.10.3"
typer = "^0.9.0"
# TODO: add an `--only daemon` group for running non-ui / pikerd
# service tree in distributed mode B)
# https://docs.astral.sh/uv/concepts/projects/dependencies/#optional-dependencies
]
[tool.poetry.dependencies.asyncvnc]
git = 'https://github.com/pikers/asyncvnc.git'
branch = 'main'
[tool.poetry.dependencies.tomlkit]
git = 'https://github.com/pikers/tomlkit.git'
branch = 'piker_pin'
develop = true
# path = "../tomlkit/"
[tool.poetry.dependencies.tractor]
git = 'https://github.com/goodboy/tractor.git'
branch = 'asyncio_debugger_support'
# branch = 'piker_pin'
develop = true
# path = '../tractor/'
# ------ - ------
[tool.poetry.group.uis]
optional = true
[tool.poetry.group.uis.dependencies]
# https://python-poetry.org/docs/managing-dependencies/#dependency-groups
# TODO: make sure the levenshtein shit compiles on nix..
# rapidfuzz = {extras = ["speedup"], version = "^0.18.0"}
rapidfuzz = "^3.2.0"
qdarkstyle = ">=3.0.2"
pyqt5 = "^5.15.9"
pyqtgraph = { git = 'https://github.com/pikers/pyqtgraph.git' }
pyqt6 = "^6.5.2"
# ------ - ------
[tool.poetry.group.dev]
optional = true
[tool.poetry.group.dev.dependencies]
# testing / CI
pytest = "^6.0.0"
elasticsearch = "^8.9.0"
# console ehancements and eventually remote debugging
# extras/helpers.
# TODO: add a toolset that makes debugging a `pikerd` service
# (tree) easy to hack on directly using more or less the local env:
[dependency-groups]
# TODO: a toolset that makes debugging a `pikerd` service (tree) easy
# to hack on directly using more or less the local env:
# - xonsh + xxh
# - rsyscall + pdbp
# - actor runtime control console like BEAM/OTP
xonsh = "^0.14.0" # XXX: explicit env install for shell use w nix
prompt-toolkit = "^3.0.39"
#
# console ehancements and eventually remote debugging extras/helpers.
# use `uv --dev` to enable
dev = [
"pytest >=6.0.0, <7.0.0",
"elasticsearch >=8.9.0, <9.0.0",
"xonsh >=0.14.2, <0.15.0",
"prompt-toolkit ==3.0.40",
"cython >=3.0.0, <4.0.0",
"greenback >=1.1.1, <2.0.0",
"ruff>=0.9.6",
]
# ------ - ------
[project.scripts]
piker = "piker.cli:cli"
pikerd = "piker.cli:pikerd"
ledger = "piker.accounting.cli:ledger"
# TODO: add an `--only daemon` group for running non-ui / pikerd
# service tree in distributed mode B)
# https://python-poetry.org/docs/managing-dependencies/#installing-group-dependencies
# [tool.poetry.group.daemon.dependencies]
[tool.hatch.build.targets.sdist]
include = ["piker"]
[tool.poetry.scripts]
piker = 'piker.cli:cli'
pikerd = 'piker.cli:pikerd'
ledger = 'piker.accounting.cli:ledger'
[tool.hatch.build.targets.wheel]
include = ["piker"]
[tool.uv.sources]
pyqtgraph = { git = "https://github.com/pikers/pyqtgraph.git" }
asyncvnc = { git = "https://github.com/pikers/asyncvnc.git", branch = "main" }
tomlkit = { git = "https://github.com/pikers/tomlkit.git", branch ="piker_pin" }
msgspec = { git = "https://github.com/jcrist/msgspec.git" }
tractor = { path = "../tractor", editable = true }

93
ruff.toml 100644
View File

@ -0,0 +1,93 @@
# from default `ruff.toml` @
# https://docs.astral.sh/ruff/configuration/
# Exclude a variety of commonly ignored directories.
exclude = [
".bzr",
".direnv",
".eggs",
".git",
".git-rewrite",
".hg",
".ipynb_checkpoints",
".mypy_cache",
".nox",
".pants.d",
".pyenv",
".pytest_cache",
".pytype",
".ruff_cache",
".svn",
".tox",
".venv",
".vscode",
"__pypackages__",
"_build",
"buck-out",
"build",
"dist",
"node_modules",
"site-packages",
"venv",
]
# Same as Black.
line-length = 88
indent-width = 4
# Assume Python 3.9
target-version = "py312"
# ------ - ------
# TODO, stop warnings around `anext()` builtin use?
# tool.ruff.target-version = "py310"
[lint]
# Enable Pyflakes (`F`) and a subset of the pycodestyle (`E`) codes by default.
# Unlike Flake8, Ruff doesn't enable pycodestyle warnings (`W`) or
# McCabe complexity (`C901`) by default.
select = ["E4", "E7", "E9", "F"]
ignore = []
ignore-init-module-imports = false
[lint.per-file-ignores]
"piker/ui/qt.py" = [
"E402",
'F401', # unused imports (without __all__ or blah as blah)
# "F841", # unused variable rules
]
# Allow fix for all enabled rules (when `--fix`) is provided.
fixable = ["ALL"]
unfixable = []
# Allow unused variables when underscore-prefixed.
dummy-variable-rgx = "^(_+|(_+[a-zA-Z0-9_]*[a-zA-Z0-9]+?))$"
[format]
# Use single quotes in `ruff format`.
quote-style = "single"
# Like Black, indent with spaces, rather than tabs.
indent-style = "space"
# Like Black, respect magic trailing commas.
skip-magic-trailing-comma = false
# Like Black, automatically detect the appropriate line ending.
line-ending = "auto"
# Enable auto-formatting of code examples in docstrings. Markdown,
# reStructuredText code/literal blocks and doctests are all supported.
#
# This is currently disabled by default, but it is planned for this
# to be opt-out in the future.
docstring-code-format = false
# Set the line length limit used when formatting code snippets in
# docstrings.
#
# This only has an effect when the `docstring-code-format` setting is
# enabled.
docstring-code-line-length = "dynamic"

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