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207 Commits

Author SHA1 Message Date
Tyler Goodlet b8cfee7d2f Drop `bar_wap` curve for now, seems to also be causing hangs?! 2022-04-29 11:27:18 -04:00
Tyler Goodlet 2d7aba0193 Add back fqsn passthrough and feed opening 2022-04-29 11:26:49 -04:00
Tyler Goodlet 260b632f07 Implement `open_history_client()` correctly for `kraken` 2022-04-29 11:26:15 -04:00
Tyler Goodlet b8704e1b7f Add to signal broker won't deliver more data 2022-04-29 11:25:22 -04:00
Tyler Goodlet 800fe7446a Add profiler passthrough type annot, comments about appends vs. uppx 2022-04-29 11:24:21 -04:00
Tyler Goodlet 536d1ff0d1 Relay frame size in `NoData` due to null-result history 2022-04-29 10:05:52 -04:00
Tyler Goodlet be7c047e2f Add , indicates hist size to decrement to storage logic 2022-04-29 08:12:29 -04:00
Tyler Goodlet d3e6ed3ba4 An absolute uppx diff of >= 1 seems more then fine 2022-04-27 17:19:08 -04:00
Tyler Goodlet 329e833e96 Up the display throttle rate to 22Hz 2022-04-27 17:18:11 -04:00
Tyler Goodlet 4e85d1d395 Truncate trade rate wma window sizes 2022-04-27 17:17:40 -04:00
Tyler Goodlet 19205d57a1 More tolerance for "stream-ended-early" conditions in quote throttler 2022-04-27 17:17:04 -04:00
Tyler Goodlet e4158dce01 Drop legacy back-filling logic
Use the new `open_history_client()` endpoint/API and expect backends to
provide a history "getter" routine that can be called to load historical
data into shm even when **not** using a tsdb. Add logic for filling in
data from the tsdb once the backend has provided data up to the last
recorded in the db. Add logic for avoiding overruns of the shm buffer
with more-then-necessary queries of tsdb data.
2022-04-27 17:13:15 -04:00
Tyler Goodlet 66c20b80a5 Add support for no `._first.value` update shm prepends 2022-04-27 14:51:20 -04:00
Tyler Goodlet c07aa76201 Double up shm buffer size 2022-04-26 09:29:09 -04:00
Tyler Goodlet d39e1e9a46 Drop legacy backfilling, load a day's worth of data by default 2022-04-26 09:28:51 -04:00
Tyler Goodlet 5294017891 Only do curve appends on low uppx levels 2022-04-26 09:28:09 -04:00
Tyler Goodlet 255f081e11 Startup up with 3k bars 2022-04-26 09:27:38 -04:00
Tyler Goodlet 549830784b Drop vwap fsp for now; causes hangs.. 2022-04-26 09:27:24 -04:00
Tyler Goodlet 4178791023 Drop step routine import 2022-04-26 09:27:04 -04:00
Tyler Goodlet 347ac0a22b Drop uppx guard around downsamples on interaction
Since downsampling with the more correct version of m4 (uppx driven
windows sizing) is super fast now we don't need to avoid downsampling
on low uppx values. Further all graphics objects now support in-view
slicing so make sure to use it on interaction updates. Pass in the view
profiler to update method calls for more detailed measuring.

Even moar,
- Add a manual call to `.maybe_downsample_graphics()` inside the mouse
  wheel event handler since it seems that sometimes trailing events get
  lost from the `.sigRangeChangedManually` signal which can result in
  "non-downsampled-enough" graphics on chart given the scroll amount;
  this manual call seems to entirely fix this?
- drop "max zoom" guard since internals now support (near) infinite
  scroll out to graphics becoming a single pixel column line XD
- add back in commented xrange signal connect code for easy testing to
  verify against range updates not happening without it
2022-04-26 08:52:34 -04:00
Tyler Goodlet b694ac2747 WIP get incremental step curve updates working
This took longer then i care to admit XD but it definitely adds a huge
speedup and with only a few outstanding correctness bugs:

- panning from left to right causes strange trailing artifacts in the
  flows fsp (vlm) sub-plot but only when some data is off-screen on the
  left but doesn't appear to be an issue if we keep the `._set_yrange()`
  handler hooked up to the `.sigXRangeChanged` signal (but we aren't
  going to because this makes panning way slower). i've got a feeling
  this is a bug todo with the device coordinate cache stuff and we may
  need to report to Qt core?
- factoring out the step curve logic from
  `FastAppendCurve.update_from_array()` (un)fortunately required some
  logic branch uncoupling but also meant we needed special input controls
  to avoid things like redraws and curve appends for special cases,
  this will hopefully all be better rectified in code when the core of
  this method is moved into a renderer type/implementation.
- the `tina_vwap` fsp curve now somehow causes hangs when doing erratic
  scrolling on downsampled graphics data. i have no idea why or how but
  disabling it makes the issue go away (ui will literally just freeze
  and gobble CPU on a `.paint()` call until you ctrl-c the hell out of
  it). my guess is that something in the logic for standard line curves
  and appends on large data sets is the issue?

Code related changes/hacks:
- drop use of `step_path_arrays_from_1d()`, it was always a bit hacky
  (being based on `pyqtgraph` internals) and was generally hard to
  understand since it returns 1d data instead of the more expected (N,2)
  array of "step levels"; instead this is now implemented (uglily) in
  the `Flow.update_graphics()` block for step curves (which will
  obviously get cleaned up and factored elsewhere).
- add a bunch of new flags to the update method on the fast append
  curve:  `draw_last: bool`, `slice_to_head: int`, `do_append: bool`,
  `should_redraw: bool` which are all controls to aid with previously
  mentioned issues specific to getting step curve updates working
  correctly.
- add a ton of commented tinkering related code (that we may end up
  using) to both the flow and append curve methods that was written as
  part of the effort to get this all working.
- implement all step curve updating inline in `Flow.update_graphics()`
  including prepend and append logic for pre-graphics incremental step
  data maintenance and in-view slicing as well as "last step" graphics
  updating.

Obviously clean up commits coming stat B)
2022-04-26 08:34:53 -04:00
Tyler Goodlet 41d9642a00 Drop cursor debounce delay, decrease rate limit 2022-04-24 17:09:58 -04:00
Tyler Goodlet 33a29a43ff Downsample on every uppx inrement since it's way faster 2022-04-24 17:09:30 -04:00
Tyler Goodlet 516dd26f08 Drop log scaling support since uppx driven scaling seems way faster/better 2022-04-24 17:08:16 -04:00
Tyler Goodlet 8959f04791 Hipshot, use uppx to drive theoretical px w 2022-04-24 14:49:58 -04:00
Tyler Goodlet 1a24038638 Fix null match 2022-04-24 13:14:54 -04:00
Tyler Goodlet 895d45f730 WIP incrementally update step array format 2022-04-24 13:14:54 -04:00
Tyler Goodlet 8fd5b95fb9 Add 16 fetch limit if no tsdb data found 2022-04-24 13:14:54 -04:00
Tyler Goodlet c3b43d7ae9 Don't require a symbol to subcmd 2022-04-24 13:14:54 -04:00
Tyler Goodlet 0b7961bb09 Don't open a feed, write or read ohlc in for now 2022-04-24 13:14:54 -04:00
Tyler Goodlet 2250566e72 Always maybe render graphics
Since we have in-view style rendering working for all curve types
(finally) we can avoid the guard for low uppx levels and without losing
interaction speed. Further don't delay the profiler so that the nested
method calls correctly report upward - which wasn't working likely due
to some kinda GC collection related issue.
2022-04-24 13:14:54 -04:00
Tyler Goodlet a6bd29c1d1 Always set coords cache on curves 2022-04-24 13:14:54 -04:00
Tyler Goodlet f68b8c5987 Handle null output case for vlm chart mxmn 2022-04-24 13:14:54 -04:00
Tyler Goodlet d4e26c1a26 Right, handle the case where the shm prepend history isn't full XD 2022-04-24 13:14:54 -04:00
Tyler Goodlet 42dc1f804e Always use coord cache, add naive view range diffing logic 2022-04-24 13:14:54 -04:00
Tyler Goodlet 0e7d274f2e Put mxmn profile mapping at end of method 2022-04-24 13:14:54 -04:00
Tyler Goodlet 9042244939 If a sample stream is already ded, just warn 2022-04-24 13:14:54 -04:00
Tyler Goodlet 06f311c182 `FastAppendCurve`: Only render in-view data if possible
More or less this improves update latency like mad. Only draw data in
view and avoid full path regen as much as possible within a given
(down)sampling setting. We now support append path updates with in-view
data and the *SPECIAL CAVEAT* is that we avoid redrawing the whole curve
**only when** we calc an `append_length <= 1` **even if the view range
changed**. XXX: this should change in the future probably such that the
caller graphics update code can pass a flag which says whether or not to
do a full redraw based on it knowing where it's an interaction based
view-range change or a flow update change which doesn't require a full
path re-render.
2022-04-24 13:14:54 -04:00
Tyler Goodlet be5ec76e73 Remove `._set_yrange()` handler from x-range-change signal 2022-04-24 13:14:54 -04:00
Tyler Goodlet 31f76e44e3 Delegate graphics cycle max/min to chart/flows 2022-04-24 13:14:54 -04:00
Tyler Goodlet 8073c6b47e Incrementally update flattend OHLC data
After much effort (and exhaustion) but failure to get a view into
our `numpy` OHLC struct-array, this instead allocates an in-thread-memory
array which is updated with flattened data every flow update cycle.

I need to report what I think is a bug to `numpy` core about the whole
view thing not working but, more or less this gets the same behaviour
and minimizes work to flatten the sampled data for line-graphics
drawing thus improving refresh latency when drawing large downsampled
curves.

TL;DR:
- add `ShmArray.ustruct()` to return a **copy of** (since a view doesn't
  work..) the (field filtered) shm array which is the same index-length
  as the source data.
- update the OHLC ds curve with view aware data sliced out from the
  pre-allocated and incrementally updated data (we had to add a last
  index var `._iflat` to track appends - this should be moved into
  a renderer eventually?).
2022-04-24 13:14:54 -04:00
Tyler Goodlet fe3009c5a8 Add `FastAppendCurve.draw_last()` 2022-04-24 13:14:54 -04:00
Tyler Goodlet 8d0c6cba58 Don't require data input to constructor 2022-04-24 13:14:54 -04:00
Tyler Goodlet 44c7ff253f More WIP, implement `BarItems` rendering in `Flow.update_graphics()` 2022-04-24 13:14:54 -04:00
Tyler Goodlet 789c77f9b2 Add `BarItems.draw_last()` and disable `.update_from_array()` 2022-04-24 13:14:54 -04:00
Tyler Goodlet 9a0716143c WIP starting architecture doc str writeup.. 2022-04-24 13:14:54 -04:00
Tyler Goodlet c95d160210 WIP incremental render apis 2022-04-24 13:14:54 -04:00
Tyler Goodlet 073dab20d7 Warn before return lul 2022-04-24 13:14:53 -04:00
Tyler Goodlet fe14ac5c79 Port view downsampling handler to new update apis 2022-04-24 13:14:53 -04:00
Tyler Goodlet 198de1efac Port ui components to use flows, drop all late assignments of shm 2022-04-24 13:14:53 -04:00
Tyler Goodlet 6a44c83e84 Add new `ui._flows` module
This begins the removal of data processing / analysis methods from the
chart widget and instead moving them to our new `Flow` API (in the new
module introduce here) and delegating the old chart methods to the
respective internal flow. Most importantly is no longer storing the
"last read" of an array from shm in an internal chart table (was
`._arrays`) and instead the `ShmArray` instance is passed as input and
stored in the `Flow` instance. This greatly simplifies lookup logic such
that the display loop now doesn't have to worry about reading shm, it
can be done by internal graphics logic as desired. Generally speaking,
all previous `._arrays`/`._graphics` lookups are now delegated to the
entries in the chart's `._flows` table.

The new `Flow` methods are generally better factored and provide more
detailed output regarding data-stream <-> graphics inter-relations for
the future purpose of allowing much more efficient update calls in the
display loop as well as supporting low latency interaction UX.

The concept here is that we're introducing an intermediary layer that
ties together graphics and real-time data flows such that widget code is
oriented around plot layout and the flow apis are oriented around
real-time low latency updates and providing an efficient high level
metric layer for the UX.

The summary api transition is something like:
- `update_graphics_from_array()` -> `.update_graphics_from_flow()`
- `.bars_range()` -> `Flow.datums_range()`
- `.bars_range()` -> `Flow.datums_range()`
2022-04-24 13:14:53 -04:00
Tyler Goodlet eb2b844c2d Always update last mx/mn (REVERT PRIOR CHANGE) 2022-04-24 13:14:53 -04:00
Tyler Goodlet 961f01448d Don't run legacy backfill when isn't up 2022-04-24 12:41:35 -04:00
Tyler Goodlet 72b93c0f24 Start legacy backfill with partial too 2022-04-18 08:47:25 -04:00
Tyler Goodlet 13c88a075d Unify backfilling logic into common task-routine 2022-04-17 15:13:07 -04:00
Tyler Goodlet ba8f443bf9 Add `Storage.load()` and `.write_ohlcv()` 2022-04-17 15:12:26 -04:00
Tyler Goodlet 72083eae17 A bit hacky but, broadcast index streams on each history prepend 2022-04-16 18:34:22 -04:00
Tyler Goodlet 25be7f8d08 Factor subscription broadcasting into a func 2022-04-16 18:33:26 -04:00
Tyler Goodlet 5c84a5f8b4 Always update ohlc (main source chart) on `trigger_all=True` 2022-04-16 18:32:36 -04:00
Tyler Goodlet 74cac9fc62 Make ib history client expect datetimes for input 2022-04-16 18:31:51 -04:00
Tyler Goodlet 2f052a7383 Add binance history client support with datetime use throughout 2022-04-16 17:48:02 -04:00
Tyler Goodlet 550d81ee2c Handle non-fqsn for derivs and don't put brokername in 2022-04-16 15:39:24 -04:00
Tyler Goodlet e430756944 Limit ohlc queries to 800k datums to avoid `purepc` size error 2022-04-16 15:39:24 -04:00
Tyler Goodlet 44b613024e Get sync-to-marketstore-tsdb history retrieval workinnn 2022-04-16 15:39:24 -04:00
Tyler Goodlet 36b8253b66 Handle "fatal" level log msgs in docker super 2022-04-16 15:39:24 -04:00
Tyler Goodlet a16cd2fe6d Add basic tsdb history loading
If `marketstore` is detected try to only load most recent missing data
from the data provider (broker) and the rest from the tsdb and push it
all to shm for display in the UI. If the provider/broker doesn't have
the history client endpoint, just use the old one for now so we can
start to incrementally add support. Don't start the ohlc step
incrementer task until the backend signals that the feed is live.
2022-04-16 15:39:24 -04:00
Tyler Goodlet 245085d493 Drop `ms-shell`, add `piker storesh` cmd 2022-04-16 15:39:24 -04:00
Tyler Goodlet 0b68bf257e Add diffing logic to `tsdb_history_update()`
Add some basic `numpy` epoch slice logic to generate append and prepend
arrays to write to the db.

Mooar cool things,
- add a `Storage.delete_ts()` method to wipe a column series from the db
  easily.
- don't attempt to read in any OHLC series by default on client load
- add some `pyqtgraph` profiling and drop manual latency measures
- if no db series for the fqsn exists write the entire shm array
2022-04-16 15:39:24 -04:00
Tyler Goodlet 68ac759b3f Drop `pandas` to `numpy` converter 2022-04-16 15:39:24 -04:00
Tyler Goodlet 2679d6261e Disable re-connect for now in ib script 2022-04-16 15:39:24 -04:00
Tyler Goodlet 48c989d400 Ensure bfqsn is lower cased for feed api consumers
Also, Start tinkering with `tractor.trionics.ipython_embed()`

In effort to get back to a usable REPL around the mkts client
this adds usage of the new `tractor` integration api as well as logic
for skipping backfilling if existing tsdb arrays are found.
2022-04-16 15:39:24 -04:00
Tyler Goodlet 831c23872c Try downsampling mkts data 2022-04-16 15:39:24 -04:00
Tyler Goodlet 008e153f36 Drop old type annot 2022-04-16 15:39:24 -04:00
Tyler Goodlet 38be93a009 Comment each special key combo 2022-04-16 15:39:24 -04:00
Tyler Goodlet 3bf3f450f4 Load any symbol-matching shm array if no `marketstored` found 2022-04-16 15:39:24 -04:00
Tyler Goodlet 4e1ab378f4 Get ib key hack script to work with reconnect 2022-04-16 15:39:24 -04:00
Tyler Goodlet 8d77d177bf Move ib data reset script into a new `scripts/` dir 2022-04-16 15:39:24 -04:00
Tyler Goodlet 36463dddbe Use new `tractor.query_actor()` for service checking 2022-04-16 15:39:24 -04:00
Tyler Goodlet e399b74b67 Return all timeframe arrays if `timeframe` not passed as input 2022-04-16 15:39:24 -04:00
Tyler Goodlet 15b609bf13 Make `pikerd` work again without `--tsdb` flag 2022-04-16 15:39:24 -04:00
Tyler Goodlet dfc3fb76fd Add a service checker predicate 2022-04-16 15:39:24 -04:00
Tyler Goodlet 881b1afc12 Allow kill-child-proc-with-root-perms to fail silently in `tractor` reaping 2022-04-16 15:39:24 -04:00
Tyler Goodlet 9878735ff3 Proxy `marketstore` container log level to our own 2022-04-16 15:39:24 -04:00
Tyler Goodlet 1389ee51f3 Prototype a high level `Storage` api
Starts a wrapper around the `marketstore` client to do basic ohlcv query
and retrieval and prototypes out write methods for ohlc and tick.
Try to connect to `marketstore` automatically (which will fail if not
started currently) but we will eventually first do a service query.

Further:

- get `pikerd` working with and without `--tsdb` flag.
- support spawning `brokerd` with no real-time quotes.
- bring back in "fqsn" support that was originally not
  in this history before commits factoring.
2022-04-16 15:39:24 -04:00
Tyler Goodlet 6225e8a58e Doc str formatting 2022-04-16 15:39:24 -04:00
Tyler Goodlet 2b48943066 Add latency measures around diffs/writes to mkts 2022-04-16 15:39:24 -04:00
Tyler Goodlet 92d074f308 Prototype out writing `1Sec` OHLCV data 2022-04-16 15:39:24 -04:00
Tyler Goodlet 49a280ce14 Better doc string 2022-04-16 15:39:24 -04:00
Tyler Goodlet 42e5f48345 Persist backing `/data/` filesystem across container runs 2022-04-16 15:39:24 -04:00
Tyler Goodlet 18344603e6 Get basic OHLCV writes working with `anyio` client 2022-04-16 15:39:24 -04:00
Tyler Goodlet ae1d9efa97 Pass in daemon name to `start_ahab()` 2022-04-16 15:39:24 -04:00
Tyler Goodlet f1747749e7 Map the grpc port and add graceful container teardown
Not sure how I missed mapping the 5995 grpc port 🤦; done now.
Also adds graceful teardown using SIGINT with included container
logging relayed to the piker console B).
2022-04-16 15:39:24 -04:00
Tyler Goodlet cdd03759bf Revive `ms-shell` sub-cmd 2022-04-16 15:39:24 -04:00
Tyler Goodlet 00a36826c2 Add WIP backfiller from data feed helper 2022-04-16 15:39:24 -04:00
Tyler Goodlet 3aa8044aa1 Better handle nested erros from docker client 2022-04-16 15:39:24 -04:00
Tyler Goodlet f0ae7edb00 Add back in legacy write loop for reference 2022-04-16 15:39:24 -04:00
Tyler Goodlet 797ba15923 Add back in OHLCV dtype template and client side ws streamer 2022-04-16 15:39:24 -04:00
Tyler Goodlet b8f86d4599 Drop ununsed `Services` ref 2022-04-16 15:39:24 -04:00
Tyler Goodlet 908093264a Py3.9+ type updates 2022-04-16 15:39:24 -04:00
Tyler Goodlet 3ef68f78f7 Add `--tsdb` flag to start `marketstore` with `pikerd` 2022-04-16 15:39:24 -04:00
Tyler Goodlet d095c21885 De-escalate sudo perms in `pikerd` once docker spawns 2022-04-16 15:39:24 -04:00
Tyler Goodlet 52dc0989ac Handle the non-root perms case specifically too 2022-04-16 15:39:24 -04:00
Tyler Goodlet 6f749c340d Add explicit no-docker error and supervisor start task-func 2022-04-16 15:39:24 -04:00
Tyler Goodlet dcff80131f Type annot updates 2022-04-16 15:39:24 -04:00
Tyler Goodlet 6cd829d1fd Drop old client instantiate line 2022-04-16 15:39:24 -04:00
Tyler Goodlet 76fff18b1a Drop import, it's got madness with and SIGINT? 2022-04-16 15:39:24 -04:00
Tyler Goodlet 88e1befffe Add a super simple `marketstore` container supervisor 2022-04-16 15:39:24 -04:00
Tyler Goodlet c1579b630e Extract non-sudo user for config dir path 2022-04-16 15:39:24 -04:00
Tyler Goodlet 7dfdd0f00b Basic module-script for spawning `marketstore`, needs correct bind mount usage 2022-04-16 15:39:24 -04:00
Guillermo Rodriguez 14a893a5e5 Still WIP, switch to using new marketstore client, missing streaming from marketstore 2022-04-16 15:39:24 -04:00
Guillermo Rodriguez c91599472d Simplify and optimize tick format, similar to techtonicdb's 2022-04-16 15:39:24 -04:00
Guillermo Rodriguez 9e4dec98da Add multi ingestor support and update to new feed API 2022-04-16 15:39:24 -04:00
Tyler Goodlet 8800ee0661 Only update y mxmn from L1 when last index in view 2022-04-16 15:39:24 -04:00
Tyler Goodlet 885116ae46 Only update y-range from L1 mxmn when last index in view
We still have to always keep track of the last max and min
though.
2022-04-16 15:38:26 -04:00
Tyler Goodlet eab9127170 Drop old `pyqtgraph` downsample code 2022-04-16 15:38:26 -04:00
Tyler Goodlet c675773de4 Tweak log-scaler for more detail 2022-04-16 15:38:26 -04:00
Tyler Goodlet b20245398d Drop `._ic` debugging prints 2022-04-16 15:38:26 -04:00
Tyler Goodlet 2abb3ec84d Display loop mega-cleanup
The most important changes include:
- iterating the new `Flow` type and updating graphics
- adding detailed profiling
- increasing the min uppx before graphics updates are throttled
- including the L1 spread in y-range calcs so that you never have the
  bid/ask go "out of view"..
- pass around `Flow`s instead of shms
- drop all the old prototyped downsampling code
2022-04-16 15:38:26 -04:00
Tyler Goodlet 6843f9a515 Allow passing a `plotItem` to `.draw_curve()`
If manually managing an overlay you'll likely call `.overlay_plotitem()`
and then a plotting method so we need to accept a plot item input so
that the chart's pi doesn't get assigned incorrectly in the `Flow` entry
(though it is by default if no input is provided).

More,
- add a `Flow.graphics` field and set it to the `pg.GraphicsObject`.
- make `Flow.maxmin()` return `None` in the "can't calculate" cases.
2022-04-16 15:38:26 -04:00
Tyler Goodlet 5002e78b81 Fsp UI initialization updates
- set shm refs on `Flow` entries.
- don't run a graphics cycle on 'update' msgs from the engine
  if the containing chart is hidden.
- drop `volume` from flows map and disable auto-yranging
  once $vlm comes up.
2022-04-16 15:38:26 -04:00
Tyler Goodlet 5446cbd335 Disconnect signals in `ChartView.disable_auto_yrange()`
Allows for removing resize callbacks for a flow/overlay that you wish to
remove from view (eg. unit volume after dollar volume is up) and thus
less general interaction callback overhead for any plot you don't wish
to show or resize.

Further,
- drop the `autoscale_linked_plots` block for now since with
  multi-view-box overlays each register their own vb resize slots
- pull the graphics object from the chart's `Flow` map inside
  `.maybe_downsample_graphics()`
2022-04-16 15:38:26 -04:00
Tyler Goodlet 7870e759ff Fix bug where if `yrange` was passed the mxmin callback was still used.. 2022-04-16 15:38:26 -04:00
Tyler Goodlet dfed6cb8e9 Guard against zero px width 2022-04-16 15:38:26 -04:00
Tyler Goodlet b30b4bb555 Add `Flow` type with a real chitty mxmn cacheing method
This new type wraps a shm data flow and will eventually include things
like incremental path-graphics updates and serialization + bg downsampling
techniques. The main immediate motivation was to get a cached y-range max/min
calc going since profiling revealed the `numpy` equivalents were
actually quite slow as the data set grows large. Likely we can use all
this to drive a streaming mx/mn routine that's always launched as part
of each on-host flow.

This is our official foray into use of `msgspec.Struct` B) and I have to
say, pretty impressed; we'll likely completely ditch `pydantic` from
here on out.
2022-04-16 15:38:26 -04:00
Tyler Goodlet 514bbb1a98 Loop for first graphic with xvec 2022-04-16 15:38:26 -04:00
Tyler Goodlet 918789d1a3 Only `.maybe_downsample_graphics()` on manual changes
We don't need update graphics on every x-range change since that's what
the display loop does. Instead, only on manual changes do we make manual
calls into `.update_graphics_from_array()` and be sure to iterate all
linked subplots and all their embedded graphics.
2022-04-16 15:38:26 -04:00
Tyler Goodlet 127294d39c Don't return early on ds line render to avoid breaking profiling
The pg profiler seems to have trouble with early `return`s in function
calls (likely muckery with the GC/`.__delete__()`) so let's just try
to avoid it for now until we either fix it (probably by implementing as
a ctx mngr) or use diff one.
2022-04-16 15:38:26 -04:00
Tyler Goodlet d3a30a272d Use HL tracer by default, seems to be faster? 2022-04-16 15:38:26 -04:00
Tyler Goodlet 9477c7e66c Allow passing "ms slower then" value on cli to `--profile` 2022-04-16 15:38:26 -04:00
Tyler Goodlet abab8d3451 Only bail up pan updates if uppx > 16 2022-04-16 15:38:26 -04:00
Tyler Goodlet c4ad4e089e Delegate `BarItems.x_uppx()` to internal ds curve 2022-04-16 15:38:26 -04:00
Tyler Goodlet 36224eac5a Downsample curves even less frequently 2022-04-16 15:38:26 -04:00
Tyler Goodlet 1cdec55725 Only pass vr for bars, allow source vb in autorange 2022-04-16 15:38:26 -04:00
Tyler Goodlet 576263dc4d Drop the unit-volume chart once $vlm is fully drawn 2022-04-16 15:38:26 -04:00
Tyler Goodlet 3998cb70a6 Ensure we update the volume array, not graphics
Ugh, turns out the wacky `ChartView.maxmin` callback stuff we did (for
determining y-range sizings) currently requires that the volume array
has a "bars in view" result.. so let's make that keep working without
rendering the graphics for the curve (since we're disabling them once
$vlm comes up).
2022-04-16 15:38:26 -04:00
Tyler Goodlet 096d8553e6 Add `.update_graphics_from_array()` flags for setting view-range use and graphics rendering 2022-04-16 15:38:26 -04:00
Tyler Goodlet ec877f38a0 Guard against zero px width 2022-04-16 15:38:26 -04:00
Tyler Goodlet b055fc9daa Given in-view rendering, make bars downsample on uppx >= 8 2022-04-16 15:38:26 -04:00
Tyler Goodlet c0bb23adb1 Make `FastAppendCurve` optionally view range aware
As with the `BarItems` graphics, this makes it possible to pass in a "in
view" range of array data that can be *only* rendered improving
performance for large(r) data sets. All the other normal behaviour is
kept (i.e a persistent, (pre/ap)pendable path can still be maintained)
if a ``view_range`` is not provided.

Further updates,
- drop the `.should_ds_or_redraw()` and `.maybe_downsample()` predicates
 instead moving all that logic inside `.update_from_array()`.
- disable the "cache flipping", which doesn't seem to be needed to avoid
  artifacts any more?
- handle all redraw/dowsampling logic in `.update_from_array()`.
- even more profiling.
- drop path `.reserve()` stuff until we better figure out how it's
  supposed to work.
2022-04-16 15:38:26 -04:00
Tyler Goodlet 302fadeab7 Fix view range array to include most recent (facepalm) 2022-04-16 15:38:26 -04:00
Tyler Goodlet 5a86b62a9c TOQUASH: drop display loop old .update_ohlc_.. 2022-04-16 15:38:26 -04:00
Tyler Goodlet 750e7230da Port to new `.update_graphics_from_array()`, pause quote updates on chart interaction 2022-04-16 15:38:26 -04:00
Tyler Goodlet 264328e119 Make panning pause feeds, call into update method from downsampler cb loop 2022-04-16 15:38:26 -04:00
Tyler Goodlet 242007d7f6 Attempt only rendering ohlc bars in view and ds-ing otherwise 2022-04-16 15:38:26 -04:00
Tyler Goodlet dcfe89cfa9 Unify into a single update method: `.update_graphics_from_array()` 2022-04-16 15:38:26 -04:00
Tyler Goodlet 4722232938 Remove units vlm cuve once the $vlm one comes up 2022-04-16 15:38:26 -04:00
Tyler Goodlet 156a839ee9 Index must be int bro.. 2022-04-16 15:38:26 -04:00
Tyler Goodlet b748bc2d05 Move px width log scaling into `ds_m4()` 2022-04-16 15:38:26 -04:00
Tyler Goodlet 927d37541f Add more frequent ds steps when zooming out; use profiler gt 2022-04-16 15:38:26 -04:00
Tyler Goodlet e6eea88174 Make `BarItems` use our line curve for downsampling
Drop all the logic originally in `.update_ds_line()` which is now done
internal to our `FastAppendCurve`. Add incremental update of the
flattened OHLC -> line curve (unfortunately using `np.concatenate()` for
the moment) and maintain a new `._ds_line_xy` arrays tuple which keeps
the internal state. Add `.maybe_downsample()` as per the new interaction
update method requirement. Draft out some fast path curve stuff like in
our line graphic. Short-circuit bars path updates when we downsample to
line. Oh, and add a ton more profiling in prep for getting
all this stuff faf.
2022-04-16 15:38:26 -04:00
Tyler Goodlet e1cfbc78ee Add global profile timeout var 2022-04-16 15:38:26 -04:00
Tyler Goodlet f1f7241a1e Add "native" downsampling to our `FastAppendCurve`
Build out an interface that makes it super easy to downsample curves
using the m4 algorithm while keeping our incremental `QPainterPath`
update feature. A lot of hard work and tinkering went into getting this
working all in-thread correctly and there are quite a few details..

New interface methods:
- `.x_uppx()` which returns the x-axis "view units per pixel"
- `.px_width()` which returns the total (rounded) x-axis pixels spanned
    by the curve in view.
- `.should_ds_or_redraw()` a predicate which checks internal state to
  see if either downsampling of the curve should take place, or the curve
  should have all downsampling removed and be redrawn with source array
  data.
- `.downsample()` the actual ds processing routine which delegates into
  the m4 algo impl.
- `.maybe_downsample()` a simple update method which can be called by
  the view box when the user changes the zoom level.

Implementation details/changes:

- make `.update_from_array()` check for downsample (or revert to source
  aka de-downsample) conditions exist and then downsample and re-draw
  path graphics accordingly.
- in order to even further speed up path appends (since our main
  bottleneck is measured to be `QPainter.drawPath()` calls with large
  paths which are frequently updates), add a secondary path `.fast_path`
  which is the path that is real-time updates by incremental appends and
  which is painted separately for speed in `.pain()`.
- drop all the `QPolyLine` stuff since it was tested to be much slower
  in general and especially so for append-updates.
- stop disabling the cache settings on updates since it doesn't seem to
  be required any more?
- more move toward deprecating and removing all lingering interface
  requirements from `pg.PlotCurveItem` (like `.xData`/`.yData`).
- adjust `.paint()` and `.boundingRect()` to compensate for the new
  `.fast_path`
- add a butt-load of profiling B)
2022-04-16 15:38:26 -04:00
Tyler Goodlet 6af6449e8e Add no-path guard now that we can use a poly 2022-04-16 15:38:26 -04:00
Tyler Goodlet c55c0f5d8f First try, drop `FastAppendCurve` inheritance from `pg.PlotCurveItem` 2022-04-16 15:38:26 -04:00
Tyler Goodlet 8c2d375e0e Drop commented line from pq method copy/paste 2022-04-16 15:38:26 -04:00
Tyler Goodlet 889aa10d32 Show baseline bars length on in view read < 6 2022-04-16 15:38:26 -04:00
Tyler Goodlet eba92a8f20 Bump up resolution log scaling a mag 2022-04-16 15:38:26 -04:00
Tyler Goodlet d3d19a57c9 Always clear previous downsample curve on switch
Pretty sure this was most of the cause of the stale (more downsampled)
curves showing when zooming in and out from bars mode quickly. All this
stuff needs to get factored out into a new abstraction anyway, but
i think this get's mostly correct functionality.

Only draw new ds curve on uppx steps >= 4 and stop adding/removing
graphics objects from the scene; doesn't seem to speed anything up
afaict. Add better reporting of ds scale changes.
2022-04-16 15:38:26 -04:00
Tyler Goodlet ba4a526b8b Clear ds line graphics on switch back to bars 2022-04-16 15:38:26 -04:00
Tyler Goodlet 15922f4090 More ems resiliency: discard broken client dialogs 2022-04-16 15:38:26 -04:00
Tyler Goodlet f6136245f9 Allocate m4 output arrays in `numba` code, avoid segfaults? 2022-04-16 15:38:26 -04:00
Tyler Goodlet 44482cbc1b Only clear/redraw curve on uppx diffs > 2
Only if the uppx increases by more then 2 we redraw the entire line
otherwise just ds with previous params and update the current curve.
This *should* avoid strange lower sample rate artefacts from showing on
updates.

Summary:
- stash both uppx and px width in `._dsi` (downsample info)
- use the new `ohlc_to_m4_line()` flags
- add notes about using `.reserve()` and friends
- always delete last `._array` ref prior to line updates
2022-04-16 15:38:26 -04:00
Tyler Goodlet c745c9801f Try supporting reuse of path allocation 2022-04-16 15:38:26 -04:00
Tyler Goodlet 60b1c53d20 Add optional mxmn HL tracer support to m4 sampler 2022-04-16 15:38:26 -04:00
Tyler Goodlet 68779218ff Add our own `FastAppendCurve.clear()`, try mem reso
In an effort to try and make `QPainterPath.reserve()` work, add internal
logic to use the same object without de-allocating memory from
a previous path write/creation.

Note this required the addition of a `._redraw` flag (to be used in
`.clear()` and a small patch to `pyqtgraph.functions.arrayToQPath` to
allow passing in an existing path (thus reusing the same underlying mem
alloc) which will likely be first pushed to our fork.
2022-04-16 15:38:26 -04:00
Tyler Goodlet 9726ed1a42 Add optional uppx log scaling to m4 sampler
We were previously ad-hoc scaling up the px count/width to get more
detail at lower uppx values. Add a log scaling sigmoid that range scales
between 1 < px_width < 16.

Add in a flag to use the mxmn OH tracer in `ohlc_flatten()` if desired.
2022-04-16 15:38:26 -04:00
Tyler Goodlet 69cb8156a2 Delegate to m4 ohlc helper for curve, only ds on uppx steps > 2 2022-04-16 15:38:26 -04:00
Tyler Goodlet 97efb865d4 Add OHLC to m4 line converters
Helpers to quickly convert ohlc struct-array sequences into lines
for consumption by the m4 downsampler. Strip trailing zero entries
from the `ds_m4()` output if found (avoids lines back to origin).
2022-04-16 15:38:26 -04:00
Tyler Goodlet 2f99fd35e5 M4 workin bishhhhh 2022-04-16 15:38:26 -04:00
Tyler Goodlet 2e25357ed0 Call default view on symbol switch 2022-04-16 15:38:26 -04:00
Tyler Goodlet c1bdf0e26d Make a derivs intrustment type table for alloc config checks 2022-04-16 15:38:26 -04:00
Tyler Goodlet d3587263db Even more correct "default view" snap-to-pp-marker
This makes the `'r'` hotkey snap the last bar to the middle of the pp
line arrow marker no matter the zoom level. Now we also boot with
approximately the most number of x units on screen that keep the bars
graphics drawn in full (just before downsampling to a line).

Moved some internals around to get this all in place,
- drop `_anchors.marker_right_points()` and move it to a chart method.
- change `.pre_l1_x()` -> `.pre_l1_xs()` and just have it return the
  two view-mapped x values from the former method.
2022-04-16 15:38:26 -04:00
Tyler Goodlet 6bf4cdaa24 Make `ChartPlotWidget.default_view()` pin to L1
Instead of using a guess about how many x-indexes to reset the last
datum in-view to, calculate and shift the latest index such that it's
just before any L1 spread labels on the y-axis. This makes the view
placement "widget aware" and gives a much more cross-display UX.

Summary:
- add `ChartPlotWidget.pre_l1_x()` which returns a `tuple` of
  x view-coord points for the absolute x-pos and length of any L1
  line/labels
- make `.default_view()` only shift to see the xlast just outside
  the l1 but keep whatever view range xfirst as the first datum in view
- drop `LevelLine.right_point()` since this is now just a
  `.pre_l1_x()` call and can be retrieved from the line's internal chart
  ref
- drop `._style.bars_from/to_..` vars since we aren't using hard coded
  offsets any more
2022-04-16 15:38:26 -04:00
Tyler Goodlet e95896722f Pass in fqsn from chart UI components 2022-04-16 15:38:26 -04:00
Tyler Goodlet 8a4f124a48 Use units by default for continuous futes 2022-04-16 15:38:26 -04:00
Tyler Goodlet a3817d7644 WIP add non-working m4 ds code to ohlc graphic 2022-04-16 15:38:26 -04:00
Tyler Goodlet 6d1a3dfdc5 Use service cancel method for graceful teardown 2022-04-16 15:38:26 -04:00
Tyler Goodlet acba4e8f02 Add curve px width getter
`ChartPlotWidget.curve_width_pxs()` now can be used to get the total
horizontal (x) pixels on screen that are occupied by the current curve
graphics for a given chart. This will be used for downsampling large
data sets to the pixel domain using M4.
2022-04-16 15:38:26 -04:00
Tyler Goodlet d86320848f Add display loop profiling
Probably the best place to root the profiler since we can get a better
top down view of bottlenecks in the graphics stack.

More,
- add in draft M4 downsampling code (commented) after getting it mostly
  working; next step is to move this processing into an FSP subactor.
- always update the vlm chart last y-axis sticky
- set call `.default_view()` just before inf sleep on startup
2022-04-16 15:38:26 -04:00
Tyler Goodlet bed52639d0 Profiler format, code stretch 2022-04-16 15:38:26 -04:00
Tyler Goodlet 4cd3f8c531 Fix x-range -> # of frames calculation
Obviously determining the x-range from indices was wrong and was the
reason for the incorrect (downsampled) output size XD. Instead correctly
determine the x range and start value from the *values of* the input
x-array. Pretty sure this makes the implementation nearly production
ready.

Relates to #109
2022-04-16 15:38:26 -04:00
Tyler Goodlet e3739f0c84 Add `ChartPlotWidget.in_view()` shm-compatible array slicer 2022-04-16 15:38:26 -04:00
Tyler Goodlet 6d54137ff1 Add (ostensibly) working first attempt at M4 algo
All the refs are in the comments and original sample code from infinite
has been reworked to expect the input x/y arrays to already be sliced
(though we can later support passing in the start-end indexes if
desired).

The new routines are `ds_m4()` the python top level API and `_m4()` the
fast `numba` implementation.
2022-04-16 15:38:26 -04:00
Tyler Goodlet 39b1edf847 Array diff lengths must be int 2022-04-16 15:38:26 -04:00
Tyler Goodlet 482c46acd0 Limit real-time chart updates in "big data" cases
- the chart's uppx (units-per-pixel) is > 4 (i.e. zoomed out a lot)
- don't shift the chart (to keep the most recent step in view) if the
  last datum isn't in view (aka the user is probably looking at history)
2022-04-16 15:38:26 -04:00
Tyler Goodlet 850f664de9 Only trigger downsampling on manual changes, add a uppx method 2022-04-16 15:38:26 -04:00
Tyler Goodlet 5ba13d5677 Add for a `BarItems` to display a line on high uppx
When a bars graphic is zoomed out enough you get a high uppx, datum
units-per-pixel, and there is no point in drawing the 6-lines in each
bar element-graphic if you can't see them on the screen/display device.

Instead here we offer converting to a `FastAppendCurve` which traces
the high-low outline and instead display that when it's impossible to see the
details of bars - approximately when the uppx >= 2.

There is also some draft-commented code in here for downsampling the
outlines as zoom level increases but it's not fully working and should
likely be factored out into a higher level api anyway.
2022-04-16 15:38:26 -04:00
Tyler Goodlet 603d61be39 Original index offset was right 2022-04-16 15:38:26 -04:00
Tyler Goodlet cd14a2b598 Add an ohlcv high/low tracer with optional downsampling 2022-04-16 15:38:26 -04:00
Tyler Goodlet d2b49bd1fe Pass linked charts into `BarItems` so that graphics can be cycled on downsample 2022-04-16 15:38:26 -04:00
Tyler Goodlet abf399a73a Move graphics compression routines to new module 2022-04-16 15:38:26 -04:00
Tyler Goodlet ca7808a887 Use 12Hz as default fps throttle 2022-04-16 15:38:26 -04:00
Tyler Goodlet 78c8a843e4 Add comment on how to enable `pyqtgraph` profiling 2022-04-16 15:38:26 -04:00
Tyler Goodlet 93d2c715e7 Add basic optional polyline support, draft out downsampling routine 2022-04-16 15:38:26 -04:00
Tyler Goodlet da5d2ef331 Add a downsampled line-curve support to `BarItems`
In effort to start getting some graphics speedups as detailed in #109,
this adds a `FastAppendCurve`to every `BarItems` as a `._ds_line` which
is only displayed (instead of the normal mult-line bars curve) when the
"width" of a bar is indistinguishable on screen from a line -> so once
the view coordinates map to > 2 pixels on the display device.
`BarItems.maybe_paint_line()` takes care of this scaling detection logic and is
called by the associated view's `.sigXRangeChanged` signal handler.
2022-04-16 15:38:26 -04:00
Tyler Goodlet a6c103a850 Add detailed `.addItem()`` comment 2022-04-16 15:38:26 -04:00
Tyler Goodlet 0d062bfe66 Add guard for real-time-not-active last line is `None` case 2022-04-16 15:38:26 -04:00
Tyler Goodlet fd296fa762 Indefinitely wait on feed hack for windows? 2022-04-16 15:38:26 -04:00
Tyler Goodlet 0e1656978b Establish stream before `fsp_compute` so that backfill updates work again.. 2022-04-16 15:38:26 -04:00
Tyler Goodlet 4378974b59 Pass in fqsn from chart UI components 2022-04-16 15:38:26 -04:00
Tyler Goodlet 6d9ffc532e Add a `trigger_all` arg to update cycle func; allows hard history updates 2022-04-16 15:38:26 -04:00
Tyler Goodlet 37b492eba6 Use a `DisplayState` in the graphics update loop
The graphics update loop is much easier to grok when all the UI
components which potentially need to be updated on a cycle are arranged
together in a high-level composite namespace, thus this new
`DisplayState` addition. Create and set this state on each
`LinkedSplits` chart set and add a new method `.graphics_cycle()` which
let's a caller trigger a graphics loop update manually. Use this method
in the fsp graphics manager such that a chain can update new history
output even if there is no real-time feed driving the display loop (eg.
when a market is "closed").
2022-04-16 15:38:26 -04:00
Tyler Goodlet 6d54cf1d7d Facepalm**2: only update on special "update" msg 2022-04-16 15:38:26 -04:00
Tyler Goodlet b81e8dc39c Facepalm: display state must be linked charts specific 2022-04-16 15:38:26 -04:00
Tyler Goodlet f365e4a465 Manually trigger graphics loops updates on msgs from the fsp chain 2022-04-16 15:38:26 -04:00
Tyler Goodlet 2c9ecbae9a Always fire a "step/update message" on every fsp history update 2022-04-16 15:38:26 -04:00
Tyler Goodlet 4ac65a93ae Factor sync part of graphics update into func, add `trigger_update()`` 2022-04-16 15:38:26 -04:00
48 changed files with 5138 additions and 6883 deletions

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@ -74,57 +74,23 @@ for a development install::
install for tinas
*****************
for windows peeps you can start by installing all the prerequisite software:
- install git with all default settings - https://git-scm.com/download/win
- install anaconda all default settings - https://www.anaconda.com/products/individual
- install microsoft build tools (check the box for Desktop development for C++, you might be able to uncheck some optional downloads) - https://visualstudio.microsoft.com/visual-cpp-build-tools/
- install visual studio code default settings - https://code.visualstudio.com/download
for windows peeps you can start by getting `conda installed`_
and the `C++ build toolz`_ on your system.
then, `crack a conda shell`_ and run the following commands::
mkdir code # create code directory
cd code # change directory to code
git clone https://github.com/pikers/piker.git # downloads piker installation package from github
cd piker # change directory to piker
conda create -n pikonda # creates conda environment named pikonda
conda activate pikonda # activates pikonda
conda install -c conda-forge python-levenshtein # in case it is not already installed
conda install pip # may already be installed
pip # will show if pip is installed
pip install -e . -r requirements.txt # install piker in editable mode
conda create piker --python=3.9
conda activate piker
conda install pip
pip install --upgrade setuptools
cd dIreCToRieZ\oF\cODez\piker\
pip install -r requirements -e .
test Piker to see if it is working::
piker -b binance chart btcusdt.binance # formatting for loading a chart
piker -b kraken -b binance chart xbtusdt.kraken
piker -b kraken -b binance -b ib chart qqq.nasdaq.ib
piker -b ib chart tsla.nasdaq.ib
potential error::
FileNotFoundError: [Errno 2] No such file or directory: 'C:\\Users\\user\\AppData\\Roaming\\piker\\brokers.toml'
solution:
- navigate to file directory above (may be different on your machine, location should be listed in the error code)
- copy and paste file from 'C:\\Users\\user\\code\\data/brokers.toml' or create a blank file using notepad at the location above
Visual Studio Code setup:
- now that piker is installed we can set up vscode as the default terminal for running piker and editing the code
- open Visual Studio Code
- file --> Add Folder to Workspace --> C:\Users\user\code\piker (adds piker directory where all piker files are located)
- file --> Save Workspace As --> save it wherever you want and call it whatever you want, this is going to be your default workspace for running and editing piker code
- ctrl + shift + p --> start typing Python: Select Interpetter --> when the option comes up select it --> Select at the workspace level --> select the one that shows ('pikonda')
- change the default terminal to cmd.exe instead of powershell (default)
- now when you create a new terminal VScode should automatically activate you conda env so that piker can be run as the first command after a new terminal is created
also, try out fancyzones as part of powertoyz for a decent tiling windows manager to manage all the cool new software you are going to be running.
in order to look coolio in front of all ur tina friends (and maybe
want to help us with testin, hackzing or configgin), install
`vscode`_ and `setup a coolio tiled wm console`_ so you can start
living the life of the tech literate..
.. _conda installed: https://
.. _C++ build toolz: https://
@ -138,7 +104,7 @@ provider support
****************
for live data feeds the in-progress set of supported brokers is:
- IB_ via ``ib_insync``, also see our `container docs`_
- IB_ via ``ib_insync``
- binance_ and kraken_ for crypto over their public websocket API
- questrade_ (ish) which comes with effectively free L1
@ -150,7 +116,6 @@ coming soon...
if you want your broker supported and they have an API let us know.
.. _IB: https://interactivebrokers.github.io/tws-api/index.html
.. _container docs: https://github.com/pikers/piker/tree/master/dockering/ib
.. _questrade: https://www.questrade.com/api/documentation
.. _kraken: https://www.kraken.com/features/api#public-market-data
.. _binance: https://github.com/pikers/piker/pull/182

View File

@ -12,41 +12,16 @@ api_key = ""
secret = ""
[ib]
hosts = [
"127.0.0.1",
]
# XXX: the order in which ports will be scanned
# (by the `brokerd` daemon-actor)
# is determined # by the line order here.
# TODO: when we eventually spawn gateways in our
# container, we can just dynamically allocate these
# using IBC.
ports = [
4002, # gw
7497, # tws
]
host = "127.0.0.1"
# XXX: for a paper account the flex web query service
# is not supported so you have to manually download
# and XML report and put it in a location that can be
# accessed by the ``brokerd.ib`` backend code for parsing.
flex_token = '666666666666666666666666'
flex_trades_query_id = '666666' # live account
ports.gw = 4002
ports.tws = 7497
ports.order = ["gw", "tws",]
# when clients are being scanned this determines
# which clients are preferred to be used for data
# feeds based on the order of account names, if
# detected as active on an API client.
prefer_data_account = [
'paper',
'margin',
'ira',
]
accounts.margin = "X0000000"
accounts.ira = "X0000000"
accounts.paper = "XX0000000"
[ib.accounts]
# the order in which accounts will be selectable
# in the order mode UI (if found via clients during
# API-app scanning)when a new symbol is loaded.
paper = "XX0000000"
margin = "X0000000"
ira = "X0000000"
# the order in which accounts will be selected (if found through
# `brokerd`) when a new symbol is loaded
accounts_order = ['paper', 'margin', 'ira']

View File

@ -1,30 +0,0 @@
running ``ib`` gateway in ``docker``
------------------------------------
We have a config based on the (now defunct)
image from "waytrade":
https://github.com/waytrade/ib-gateway-docker
To startup this image with our custom settings
simply run the command::
docker compose up
And you should have the following socket-available services:
- ``x11vnc1@127.0.0.1:3003``
- ``ib-gw@127.0.0.1:4002``
You can attach to the container via a VNC client
without password auth.
SECURITY STUFF!?!?!
-------------------
Though "``ib``" claims they host filter connections outside
localhost (aka ``127.0.0.1``) it's probably better if you filter
the socket at the OS level using a stateless firewall rule::
ip rule add not unicast iif lo to 0.0.0.0/0 dport 4002
We will soon have this baked into our own custom image but for
now you'll have to do it urself dawgy.

View File

@ -1,64 +0,0 @@
# rework from the original @
# https://github.com/waytrade/ib-gateway-docker/blob/master/docker-compose.yml
version: "3.5"
services:
ib-gateway:
# other image tags available:
# https://github.com/waytrade/ib-gateway-docker#supported-tags
image: waytrade/ib-gateway:981.3j
restart: always
network_mode: 'host'
volumes:
- type: bind
source: ./jts.ini
target: /root/Jts/jts.ini
# don't let IBC clobber this file for
# the main reason of not having a stupid
# timezone set..
read_only: true
# force our own IBC config
- type: bind
source: ./ibc.ini
target: /root/ibc/config.ini
# force our noop script - socat isn't needed in host mode.
- type: bind
source: ./fork_ports_delayed.sh
target: /root/scripts/fork_ports_delayed.sh
# force our noop script - socat isn't needed in host mode.
- type: bind
source: ./run_x11_vnc.sh
target: /root/scripts/run_x11_vnc.sh
read_only: true
# NOTE:to fill these out, define an `.env` file in the same dir as
# this compose file which looks something like:
# TWS_USERID='myuser'
# TWS_PASSWORD='guest'
# TRADING_MODE=paper (or live)
# VNC_SERVER_PASSWORD='diggity'
environment:
TWS_USERID: ${TWS_USERID}
TWS_PASSWORD: ${TWS_PASSWORD}
TRADING_MODE: ${TRADING_MODE:-paper}
VNC_SERVER_PASSWORD: ${VNC_SERVER_PASSWORD:-}
# ports:
# - target: 4002
# host_ip: 127.0.0.1
# published: 4002
# protocol: tcp
# original mappings for use in non-host-mode
# which we won't really need going forward since
# ideally we just pick the port to have ib-gw listen
# on **when** we spawn the container - i.e. everything
# will be driven by a ``brokers.toml`` def.
# - "127.0.0.1:4001:4001"
# - "127.0.0.1:4002:4002"
# - "127.0.0.1:5900:5900"

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@ -1,6 +0,0 @@
#!/bin/sh
# we now just set this is to a noop script
# since we can just run the container in
# `network_mode: 'host'` and get literally
# the exact same behaviour XD

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@ -1,711 +0,0 @@
# Note that in the comments in this file, TWS refers to both the Trader
# Workstation and the IB Gateway, unless explicitly stated otherwise.
#
# When referred to below, the default value for a setting is the value
# assumed if either the setting is included but no value is specified, or
# the setting is not included at all.
#
# IBC may also be used to start the FIX CTCI Gateway. All settings
# relating to this have names prefixed with FIX.
#
# The IB API Gateway and the FIX CTCI Gateway share the same code. Which
# gateway actually runs is governed by an option on the initial gateway
# login screen. The FIX setting described under IBC Startup
# Settings below controls this.
# =============================================================================
# 1. IBC Startup Settings
# =============================================================================
# IBC may be used to start the IB Gateway for the FIX CTCI. This
# setting must be set to 'yes' if you want to run the FIX CTCI gateway. The
# default is 'no'.
FIX=no
# =============================================================================
# 2. Authentication Settings
# =============================================================================
# TWS and the IB API gateway require a single username and password.
# You may specify the username and password using the following settings:
#
# IbLoginId
# IbPassword
#
# Alternatively, you can specify the username and password in the command
# files used to start TWS or the Gateway, but this is not recommended for
# security reasons.
#
# If you don't specify them, you will be prompted for them in the usual
# login dialog when TWS starts (but whatever you have specified will be
# included in the dialog automatically: for example you may specify the
# username but not the password, and then you will be prompted for the
# password via the login dialog). Note that if you specify either
# the username or the password (or both) in the command file, then
# IbLoginId and IbPassword settings defined in this file are ignored.
#
#
# The FIX CTCI gateway requires one username and password for FIX order
# routing, and optionally a separate username and password for market
# data connections. You may specify the usernames and passwords using
# the following settings:
#
# FIXLoginId
# FIXPassword
# IbLoginId (optional - for market data connections)
# IbPassword (optional - for market data connections)
#
# Alternatively you can specify the FIX username and password in the
# command file used to start the FIX CTCI Gateway, but this is not
# recommended for security reasons.
#
# If you don't specify them, you will be prompted for them in the usual
# login dialog when FIX CTCI gateway starts (but whatever you have
# specified will be included in the dialog automatically: for example
# you may specify the usernames but not the passwords, and then you will
# be prompted for the passwords via the login dialog). Note that if you
# specify either the FIX username or the FIX password (or both) on the
# command line, then FIXLoginId and FIXPassword settings defined in this
# file are ignored; he same applies to the market data username and
# password.
# IB API Authentication Settings
# ------------------------------
# Your TWS username:
IbLoginId=
# Your TWS password:
IbPassword=
# FIX CTCI Authentication Settings
# --------------------------------
# Your FIX CTCI username:
FIXLoginId=
# Your FIX CTCI password:
FIXPassword=
# Second Factor Authentication Settings
# -------------------------------------
# If you have enabled more than one second factor authentication
# device, TWS presents a list from which you must select the device
# you want to use for this login. You can use this setting to
# instruct IBC to select a particular item in the list on your
# behalf. Note that you must spell this value exactly as it appears
# in the list. If no value is set, you must manually select the
# relevant list entry.
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
# Second Factor Authentication dialog is needed to complete the
# login.
#
# Permitted values are 'yes' and 'no'. The default is 'no'.
#
# Note that the scripts provided with the IBC zips for Windows and
# Linux provide options to automatically restart in these
# circumstances, but only if this setting is also set to 'yes'.
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.
TradingMode=
# Paper-trading Account Warning
# -----------------------------
#
# Logging in to a paper-trading account results in TWS displaying
# a dialog asking the user to confirm that they are aware that this
# is not a brokerage account. Until this dialog has been accepted,
# TWS will not allow API connections to succeed. Setting this
# to 'yes' (the default) will cause IBC to automatically
# confirm acceptance. Setting it to 'no' will leave the dialog
# on display, and the user will have to deal with it manually.
AcceptNonBrokerageAccountWarning=yes
# Login Dialog Display Timeout
#-----------------------------
#
# In some circumstances, starting TWS may result in failure to display
# the login dialog. Restarting TWS may help to resolve this situation,
# and IBC does this automatically.
#
# This setting controls how long (in seconds) IBC waits for the login
# dialog to appear before restarting TWS.
#
# Note that in normal circumstances with a reasonably specified
# computer the time to displaying the login dialog is typically less
# than 20 seconds, and frequently much less. However many factors can
# influence this, and it is unwise to set this value too low.
#
# The default value is 60.
LoginDialogDisplayTimeout = 60
# =============================================================================
# 3. TWS Startup Settings
# =============================================================================
# Path to settings store
# ----------------------
#
# Path to the directory where TWS should store its settings. This is
# normally the folder in which TWS is installed. However you may set
# it to some other location if you wish (for example if you want to
# run multiple instances of TWS with different settings).
#
# It is recommended for clarity that you use an absolute path. The
# effect of using a relative path is undefined.
#
# Linux and macOS users should use the appropriate path syntax.
#
# Note that, for Windows users, you MUST use double separator
# characters to separate the elements of the folder path: for
# example, IbDir=C:\\IBLiveSettings is valid, but
# IbDir=C:\IBLiveSettings is NOT valid and will give unexpected
# results. Linux and macOS users need not use double separators,
# but they are acceptable.
#
# The default is the current working directory when IBC is
# started.
IbDir=/root/Jts
# Store settings on server
# ------------------------
#
# If you wish to store a copy of your TWS settings on IB's
# servers as well as locally on your computer, set this to
# 'yes': this enables you to run TWS on different computers
# with the same configuration, market data lines, etc. If set
# to 'no', running TWS on different computers will not share the
# same settings. If no value is specified, TWS will obtain its
# settings from the same place as the last time this user logged
# in (whether manually or using IBC).
StoreSettingsOnServer=
# Minimize TWS on startup
# -----------------------
#
# Set to 'yes' to minimize TWS when it starts:
MinimizeMainWindow=no
# Existing Session Detected Action
# --------------------------------
#
# When a user logs on to an IBKR account for trading purposes by any means, the
# IBKR account server checks to see whether the account is already logged in
# elsewhere. If so, a dialog is displayed to both the users that enables them
# to determine what happens next. The 'ExistingSessionDetectedAction' setting
# instructs TWS how to proceed when it displays this dialog:
#
# * If the new TWS session is set to 'secondary', the existing session continues
# and the new session terminates. Thus a secondary TWS session can never
# override any other session.
#
# * If the existing TWS session is set to 'primary', the existing session
# continues and the new session terminates (even if the new session is also
# set to primary). Thus a primary TWS session can never be overridden by
# any new session).
#
# * If both the existing and the new TWS sessions are set to 'primaryoverride',
# the existing session terminates and the new session proceeds.
#
# * If the existing TWS session is set to 'manual', the user must handle the
# dialog.
#
# The difference between 'primary' and 'primaryoverride' is that a
# 'primaryoverride' session can be overriden over by a new 'primary' session,
# but a 'primary' session cannot be overriden by any other session.
#
# When set to 'primary', if another TWS session is started and manually told to
# end the 'primary' session, the 'primary' session is automatically reconnected.
#
# The default is 'manual'.
ExistingSessionDetectedAction=primary
# Override TWS API Port Number
# ----------------------------
#
# 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
# 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: most users will never need it,
# so don't use it unless you know you need it.
OverrideTwsApiPort=4002
# Read-only Login
# ---------------
#
# If ReadOnlyLogin is set to 'yes', and the user is enrolled in IB's
# 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.
# If the user is not enrolled in IB's account security programme,
# this setting is ignored. The default is 'no'.
ReadOnlyLogin=no
# Read-only API
# -------------
#
# If ReadOnlyApi is set to 'yes', API programs cannot submit, modify
# or cancel orders. If set to 'no', API programs can do these things.
# If not set, the existing TWS/Gateway configuration is unchanged.
# NB: this setting is really only supplied for the benefit of new TWS
# or Gateway instances that are being automatically installed and
# started without user intervention (eg Docker containers). Where
# a user is involved, they should use the Global Configuration to
# set the relevant checkbox (this only needs to be done once) and
# not provide a value for this setting.
ReadOnlyApi=no
# Market data size for US stocks - lots or shares
# -----------------------------------------------
#
# Since IB introduced the option of market data for US stocks showing
# bid, ask and last sizes in shares rather than lots, TWS and Gateway
# display a dialog immediately after login notifying the user about
# this and requiring user input before allowing market data to be
# accessed. The user can request that the dialog not be shown again.
#
# It is recommended that the user should handle this dialog manually
# rather than using these settings, which are provided for situations
# where the user interface is not easily accessible, or where user
# settings are not preserved between sessions (eg some Docker images).
#
# - If this setting is set to 'accept', the dialog will be handled
# automatically and the option to not show it again will be
# selected.
#
# Note that in this case, the only way to allow the dialog to be
# displayed again is to manually enable the 'Bid, Ask and Last
# Size Display Update' message in the 'Messages' section of the TWS
# configuration dialog. So you should only use 'Accept' if you are
# sure you really don't want the dialog to be displayed again, or
# you have easy access to the user interface.
#
# - If set to 'defer', the dialog will be handled automatically (so
# that market data will start), but the option to not show it again
# will not be selected, and it will be shown again after the next
# login.
#
# - If set to 'ignore', the user has to deal with the dialog manually.
#
# The default value is 'ignore'.
#
# Note if set to 'accept' or 'defer', TWS also automatically sets
# the API settings checkbox labelled 'Send market data in lots for
# US stocks for dual-mode API clients'. IBC cannot prevent this.
# However you can change this immmediately by setting
# SendMarketDataInLotsForUSstocks (see below) to 'no' .
AcceptBidAskLastSizeDisplayUpdateNotification=accept
# This setting determines whether the API settings checkbox labelled
# 'Send market data in lots for US stocks for dual-mode API clients'
# is set or cleared. If set to 'yes', the checkbox is set. If set to
# 'no' the checkbox is cleared. If defaulted, the checkbox is
# unchanged.
SendMarketDataInLotsForUSstocks=
# =============================================================================
# 4. TWS Auto-Closedown
# =============================================================================
#
# IMPORTANT NOTE: Starting with TWS 974, this setting no longer
# works properly, because IB have changed the way TWS handles its
# autologoff mechanism.
#
# You should now configure the TWS autologoff time to something
# convenient for you, and restart IBC each day.
#
# 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).
# 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
# =============================================================================
# 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.
#
# 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.
#
# To tell IBC to tidily close TWS at a specified time every
# day, set this value to <hh:mm>, for example:
# ClosedownAt=22:00
#
# To tell IBC to tidily close TWS at a specified day and time
# each week, set this value to <dayOfWeek hh:mm>, for example:
# ClosedownAt=Friday 22:00
#
# Note that the day of the week must be specified using your
# default locale. Also note that Java will only accept
# characters encoded to ISO 8859-1 (Latin-1). This means that
# if the day name in your default locale uses any non-Latin-1
# characters you need to encode them using Unicode escapes
# (see http://java.sun.com/docs/books/jls/third_edition/html/lexical.html#3.3
# for details). For example, to tidily close TWS at 12:00 on
# Saturday where the default locale is Simplified Chinese,
# use the following:
# #ClosedownAt=\u661F\u671F\u516D 12:00
ClosedownAt=
# =============================================================================
# 6. Other TWS Settings
# =============================================================================
# Accept Incoming Connection
# --------------------------
#
# If set to 'accept', IBC automatically accepts incoming
# API connection dialogs. If set to 'reject', IBC
# automatically rejects incoming API connection dialogs. If
# set to 'manual', the user must decide whether to accept or reject
# incoming API connection dialogs. The default is 'manual'.
# NB: it is recommended to set this to 'reject', and to explicitly
# configure which IP addresses can connect to the API in TWS's API
# configuration page, as this is much more secure (in this case, no
# incoming API connection dialogs will occur for those IP addresses).
AcceptIncomingConnectionAction=reject
# Allow Blind Trading
# -------------------
#
# If you attempt to place an order for a contract for which
# you have no market data subscription, TWS displays a dialog
# to warn you against such blind trading.
#
# yes means the dialog is dismissed as though the user had
# clicked the 'Ok' button: this means that you accept
# the risk and want the order to be submitted.
#
# no means the dialog remains on display and must be
# handled by the user.
AllowBlindTrading=yes
# Save Settings on a Schedule
# ---------------------------
#
# You can tell TWS to automatically save its settings on a schedule
# of your choosing. You can specify one or more specific times,
# like this:
#
# SaveTwsSettingsAt=HH:MM [ HH:MM]...
#
# for example:
# SaveTwsSettingsAt=08:00 12:30 17:30
#
# Or you can specify an interval at which settings are to be saved,
# optionally starting at a specific time and continuing until another
# time, like this:
#
#SaveTwsSettingsAt=Every n [{mins | hours}] [hh:mm] [hh:mm]
#
# where the first hh:mm is the start time and the second is the end
# time. If you don't specify the end time, settings are saved regularly
# from the start time till midnight. If you don't specify the start time.
# settings are saved regularly all day, beginning at 00:00. Note that
# settings will always be saved at the end time, even if that is not
# exactly one interval later than the previous time. If neither 'mins'
# nor 'hours' is specified, 'mins' is assumed. Examples:
#
# To save every 30 minutes all day starting at 00:00
#SaveTwsSettingsAt=Every 30
#SaveTwsSettingsAt=Every 30 mins
#
# To save every hour starting at 08:00 and ending at midnight
#SaveTwsSettingsAt=Every 1 hours 08:00
#SaveTwsSettingsAt=Every 1 hours 08:00 00:00
#
# To save every 90 minutes starting at 08:00 up to and including 17:43
#SaveTwsSettingsAt=Every 90 08:00 17:43
SaveTwsSettingsAt=
# =============================================================================
# 7. Settings Specific to Indian Versions of TWS
# =============================================================================
# Indian versions of TWS may display a password expiry
# notification dialog and a NSE Compliance dialog. These can be
# dismissed by setting the following to yes. By default the
# password expiry notice is not dismissed, but the NSE Compliance
# notice is dismissed.
# Warning: setting DismissPasswordExpiryWarning=yes will mean
# you will not be notified when your password is about to expire.
# You must then take other measures to ensure that your password
# is changed within the expiry period, otherwise IBC will
# not be able to login successfully.
DismissPasswordExpiryWarning=no
DismissNSEComplianceNotice=yes
# =============================================================================
# 8. IBC Command Server Settings
# =============================================================================
# Do NOT CHANGE THE FOLLOWING SETTINGS unless you
# intend to issue commands to IBC (for example
# using telnet). Note that these settings have nothing to
# do with running programs that use the TWS API.
# Command Server Port Number
# --------------------------
#
# 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
#CommandServerPort=7462
# Permitted Command Sources
# -------------------------
#
# A comma separated list of IP addresses, or host names,
# which are allowed addresses for sending commands to
# IBC. Commands can always be sent from the
# same host as IBC is running on.
ControlFrom=127.0.0.1
# 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
# 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
# Command Prompt
# --------------
#
# The specified string is output by the server when
# the connection is first opened and after the completion
# of each command. This can be useful if sending commands
# using an interactive program such as telnet. The default
# is that no prompt is output.
# For example:
#
# CommandPrompt=>
CommandPrompt=
# Suppress Command Server Info Messages
# -------------------------------------
#
# Some commands can return intermediate information about
# their progress. This setting controls whether such
# information is sent. The default is that such information
# is not sent.
SuppressInfoMessages=no
# =============================================================================
# 9. Diagnostic Settings
# =============================================================================
#
# IBC can log information about the structure of windows
# displayed by TWS. This information is useful when adding
# new features to IBC or when behaviour is not as expected.
#
# The logged information shows the hierarchical organisation
# of all the components of the window, and includes the
# current values of text boxes and labels.
#
# Note that this structure logging has a small performance
# impact, and depending on the settings can cause the logfile
# size to be significantly increased. It is therefore
# recommended that the LogStructureWhen setting be set to
# 'never' (the default) unless there is a specific reason
# that this information is needed.
# Scope of Structure Logging
# --------------------------
#
# 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;
#
# - if set to 'unknown', only windows that IBC does not
# recognize are eligible. Most windows displayed by
# TWS fall into this category;
#
# - if set to 'untitled', only windows that IBC does not
# recognize and that have no title are eligible. These
# are usually message boxes or similar small windows,
#
# - if set to 'all', then every window displayed by TWS
# is eligible.
#
# The default value is 'known'.
LogStructureScope=all
# When to Log Window Structure
# ----------------------------
#
# The LogStructureWhen setting specifies the circumstances
# when eligible TWS windows have their structure logged:
#
# - if set to 'open' or 'yes' or 'true', IBC logs the
# structure of an eligible window the first time it
# is encountered;
#
# - 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.
#
# The default value is 'never'.
LogStructureWhen=never
# DEPRECATED SETTING
# ------------------
#
# LogComponents - THIS SETTING WILL BE REMOVED IN A FUTURE
# RELEASE
#
# If LogComponents is set to any value, this is equivalent
# to setting LogStructureWhen to that same value and
# LogStructureScope to 'all': the actual values of those
# settings are ignored. The default is that the values
# of LogStructureScope and LogStructureWhen are honoured.
#LogComponents=

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@ -1,33 +0,0 @@
[IBGateway]
ApiOnly=true
LocalServerPort=4002
# NOTE: must be set if using IBC's "reject" mode
TrustedIPs=127.0.0.1
; RemoteHostOrderRouting=ndc1.ibllc.com
; WriteDebug=true
; RemotePortOrderRouting=4001
; useRemoteSettings=false
; tradingMode=p
; Steps=8
; colorPalletName=dark
# window geo, this may be useful for sending `xdotool` commands?
; MainWindow.Width=1986
; screenHeight=3960
[Logon]
Locale=en
# most markets are oriented around this zone
# so might as well hard code it.
TimeZone=America/New_York
UseSSL=true
displayedproxymsg=1
os_titlebar=true
s3store=true
useRemoteSettings=false
[Communication]
ctciAutoEncrypt=true
Region=usr
; Peer=cdc1.ibllc.com:4001

View File

@ -1,16 +0,0 @@
#!/bin/sh
# start VNC server
x11vnc \
-ncache_cr \
-listen localhost \
-display :1 \
-forever \
-shared \
-logappend /var/log/x11vnc.log \
-bg \
-noipv6 \
-autoport 3003 \
# can't use this because of ``asyncvnc`` issue:
# https://github.com/barneygale/asyncvnc/issues/1
# -passwd 'ibcansmbz'

View File

@ -35,7 +35,7 @@ log = get_logger(__name__)
_root_dname = 'pikerd'
_registry_addr = ('127.0.0.1', 6116)
_registry_addr = ('127.0.0.1', 1616)
_tractor_kwargs: dict[str, Any] = {
# use a different registry addr then tractor's default
'arbiter_addr': _registry_addr
@ -426,19 +426,9 @@ async def spawn_brokerd(
# ask `pikerd` to spawn a new sub-actor and manage it under its
# actor nursery
modpath = brokermod.__name__
broker_enable = [modpath]
for submodname in getattr(
brokermod,
'__enable_modules__',
[],
):
subpath = f'{modpath}.{submodname}'
broker_enable.append(subpath)
portal = await _services.actor_n.start_actor(
dname,
enable_modules=_data_mods + broker_enable,
enable_modules=_data_mods + [brokermod.__name__],
loglevel=loglevel,
debug_mode=_services.debug_mode,
**tractor_kwargs

View File

@ -402,7 +402,7 @@ async def open_history_client(
end_dt = pendulum.from_timestamp(array[-1]['time'])
return array, start_dt, end_dt
yield get_ohlc, {'erlangs': 3, 'rate': 3}
yield get_ohlc
async def backfill_bars(
@ -452,8 +452,8 @@ async def stream_quotes(
# XXX: after manually inspecting the response format we
# just directly pick out the info we need
si['price_tick_size'] = float(syminfo.filters[0]['tickSize'])
si['lot_tick_size'] = float(syminfo.filters[2]['stepSize'])
si['price_tick_size'] = syminfo.filters[0]['tickSize']
si['lot_tick_size'] = syminfo.filters[2]['stepSize']
si['asset_type'] = 'crypto'
symbol = symbols[0]

View File

@ -23,6 +23,7 @@ from operator import attrgetter
from operator import itemgetter
import click
import pandas as pd
import trio
import tractor
@ -46,10 +47,8 @@ _watchlists_data_path = os.path.join(_config_dir, 'watchlists.json')
@click.argument('kwargs', nargs=-1)
@click.pass_obj
def api(config, meth, kwargs, keys):
'''
Make a broker-client API method call
'''
"""Make a broker-client API method call
"""
# global opts
broker = config['brokers'][0]
@ -80,13 +79,13 @@ def api(config, meth, kwargs, keys):
@cli.command()
@click.option('--df-output', '-df', flag_value=True,
help='Output in `pandas.DataFrame` format')
@click.argument('tickers', nargs=-1, required=True)
@click.pass_obj
def quote(config, tickers):
'''
Print symbol quotes to the console
'''
def quote(config, tickers, df_output):
"""Print symbol quotes to the console
"""
# global opts
brokermod = config['brokermods'][0]
@ -101,19 +100,28 @@ def quote(config, tickers):
if ticker not in syms:
brokermod.log.warn(f"Could not find symbol {ticker}?")
click.echo(colorize_json(quotes))
if df_output:
cols = next(filter(bool, quotes)).copy()
cols.pop('symbol')
df = pd.DataFrame(
(quote or {} for quote in quotes),
columns=cols,
)
click.echo(df)
else:
click.echo(colorize_json(quotes))
@cli.command()
@click.option('--df-output', '-df', flag_value=True,
help='Output in `pandas.DataFrame` format')
@click.option('--count', '-c', default=1000,
help='Number of bars to retrieve')
@click.argument('symbol', required=True)
@click.pass_obj
def bars(config, symbol, count):
'''
Retreive 1m bars for symbol and print on the console
'''
def bars(config, symbol, count, df_output):
"""Retreive 1m bars for symbol and print on the console
"""
# global opts
brokermod = config['brokermods'][0]
@ -125,7 +133,7 @@ def bars(config, symbol, count):
brokermod,
symbol,
count=count,
as_np=False,
as_np=df_output
)
)
@ -133,7 +141,10 @@ def bars(config, symbol, count):
log.error(f"No quotes could be found for {symbol}?")
return
click.echo(colorize_json(bars))
if df_output:
click.echo(pd.DataFrame(bars))
else:
click.echo(colorize_json(bars))
@cli.command()
@ -145,10 +156,8 @@ def bars(config, symbol, count):
@click.argument('name', nargs=1, required=True)
@click.pass_obj
def record(config, rate, name, dhost, filename):
'''
Record client side quotes to a file on disk
'''
"""Record client side quotes to a file on disk
"""
# global opts
brokermod = config['brokermods'][0]
loglevel = config['loglevel']
@ -186,10 +195,8 @@ def record(config, rate, name, dhost, filename):
@click.argument('symbol', required=True)
@click.pass_context
def contracts(ctx, loglevel, broker, symbol, ids):
'''
Get list of all option contracts for symbol
'''
"""Get list of all option contracts for symbol
"""
brokermod = get_brokermod(broker)
get_console_log(loglevel)
@ -206,14 +213,14 @@ def contracts(ctx, loglevel, broker, symbol, ids):
@cli.command()
@click.option('--df-output', '-df', flag_value=True,
help='Output in `pandas.DataFrame` format')
@click.option('--date', '-d', help='Contracts expiry date')
@click.argument('symbol', required=True)
@click.pass_obj
def optsquote(config, symbol, date):
'''
Retreive symbol option quotes on the console
'''
def optsquote(config, symbol, df_output, date):
"""Retreive symbol option quotes on the console
"""
# global opts
brokermod = config['brokermods'][0]
@ -226,17 +233,22 @@ def optsquote(config, symbol, date):
log.error(f"No option quotes could be found for {symbol}?")
return
click.echo(colorize_json(quotes))
if df_output:
df = pd.DataFrame(
(quote.values() for quote in quotes),
columns=quotes[0].keys(),
)
click.echo(df)
else:
click.echo(colorize_json(quotes))
@cli.command()
@click.argument('tickers', nargs=-1, required=True)
@click.pass_obj
def symbol_info(config, tickers):
'''
Print symbol quotes to the console
'''
"""Print symbol quotes to the console
"""
# global opts
brokermod = config['brokermods'][0]
@ -258,10 +270,8 @@ def symbol_info(config, tickers):
@click.argument('pattern', required=True)
@click.pass_obj
def search(config, pattern):
'''
Search for symbols from broker backend(s).
'''
"""Search for symbols from broker backend(s).
"""
# global opts
brokermods = config['brokermods']

2512
piker/brokers/ib.py 100644

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@ -1,67 +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/>.
"""
Interactive Brokers API backend.
Sub-modules within break into the core functionalities:
- ``broker.py`` part for orders / trading endpoints
- ``data.py`` for real-time data feed endpoints
- ``client.py`` for the core API machinery which is ``trio``-ized
wrapping around ``ib_insync``.
- ``report.py`` for the hackery to build manual pp calcs
to avoid ib's absolute bullshit FIFO style position
tracking..
"""
from .api import (
get_client,
)
from .feed import (
open_history_client,
open_symbol_search,
stream_quotes,
)
from .broker import trades_dialogue
__all__ = [
'get_client',
'trades_dialogue',
'open_history_client',
'open_symbol_search',
'stream_quotes',
]
# tractor RPC enable arg
__enable_modules__: list[str] = [
'api',
'feed',
'broker',
]
# passed to ``tractor.ActorNursery.start_actor()``
_spawn_kwargs = {
'infect_asyncio': True,
}
# annotation to let backend agnostic code
# know if ``brokerd`` should be spawned with
# ``tractor``'s aio mode.
_infect_asyncio: bool = True

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@ -1,590 +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/>.
"""
Order and trades endpoints for use with ``piker``'s EMS.
"""
from __future__ import annotations
from dataclasses import asdict
from functools import partial
from pprint import pformat
import time
from typing import (
Any,
Optional,
AsyncIterator,
)
import trio
from trio_typing import TaskStatus
import tractor
from ib_insync.contract import (
Contract,
Option,
)
from ib_insync.order import (
Trade,
OrderStatus,
)
from ib_insync.objects import (
Fill,
Execution,
)
from ib_insync.objects import Position
from piker import config
from piker.log import get_console_log
from piker.clearing._messages import (
BrokerdOrder,
BrokerdOrderAck,
BrokerdStatus,
BrokerdPosition,
BrokerdCancel,
BrokerdFill,
BrokerdError,
)
from .api import (
_accounts2clients,
_adhoc_futes_set,
log,
get_config,
open_client_proxies,
Client,
)
def pack_position(
pos: Position
) -> dict[str, Any]:
con = pos.contract
if isinstance(con, Option):
# TODO: option symbol parsing and sane display:
symbol = con.localSymbol.replace(' ', '')
else:
# TODO: lookup fqsn even for derivs.
symbol = con.symbol.lower()
exch = (con.primaryExchange or con.exchange).lower()
symkey = '.'.join((symbol, exch))
if not exch:
# attempt to lookup the symbol from our
# hacked set..
for sym in _adhoc_futes_set:
if symbol in sym:
symkey = sym
break
expiry = con.lastTradeDateOrContractMonth
if expiry:
symkey += f'.{expiry}'
# TODO: options contracts into a sane format..
return BrokerdPosition(
broker='ib',
account=pos.account,
symbol=symkey,
currency=con.currency,
size=float(pos.position),
avg_price=float(pos.avgCost) / float(con.multiplier or 1.0),
)
async def handle_order_requests(
ems_order_stream: tractor.MsgStream,
accounts_def: dict[str, str],
) -> None:
request_msg: dict
async for request_msg in ems_order_stream:
log.info(f'Received order request {request_msg}')
action = request_msg['action']
account = request_msg['account']
acct_number = accounts_def.get(account)
if not acct_number:
log.error(
f'An IB account number for name {account} is not found?\n'
'Make sure you have all TWS and GW instances running.'
)
await ems_order_stream.send(BrokerdError(
oid=request_msg['oid'],
symbol=request_msg['symbol'],
reason=f'No account found: `{account}` ?',
).dict())
continue
client = _accounts2clients.get(account)
if not client:
log.error(
f'An IB client for account name {account} is not found.\n'
'Make sure you have all TWS and GW instances running.'
)
await ems_order_stream.send(BrokerdError(
oid=request_msg['oid'],
symbol=request_msg['symbol'],
reason=f'No api client loaded for account: `{account}` ?',
).dict())
continue
if action in {'buy', 'sell'}:
# validate
order = BrokerdOrder(**request_msg)
# call our client api to submit the order
reqid = client.submit_limit(
oid=order.oid,
symbol=order.symbol,
price=order.price,
action=order.action,
size=order.size,
account=acct_number,
# XXX: by default 0 tells ``ib_insync`` methods that
# there is no existing order so ask the client to create
# a new one (which it seems to do by allocating an int
# counter - collision prone..)
reqid=order.reqid,
)
if reqid is None:
await ems_order_stream.send(BrokerdError(
oid=request_msg['oid'],
symbol=request_msg['symbol'],
reason='Order already active?',
).dict())
# deliver ack that order has been submitted to broker routing
await ems_order_stream.send(
BrokerdOrderAck(
# ems order request id
oid=order.oid,
# broker specific request id
reqid=reqid,
time_ns=time.time_ns(),
account=account,
).dict()
)
elif action == 'cancel':
msg = BrokerdCancel(**request_msg)
client.submit_cancel(reqid=msg.reqid)
else:
log.error(f'Unknown order command: {request_msg}')
async def recv_trade_updates(
client: Client,
to_trio: trio.abc.SendChannel,
) -> None:
"""Stream a ticker using the std L1 api.
"""
client.inline_errors(to_trio)
# sync with trio task
to_trio.send_nowait(None)
def push_tradesies(eventkit_obj, obj, fill=None):
"""Push events to trio task.
"""
if fill is not None:
# execution details event
item = ('fill', (obj, fill))
elif eventkit_obj.name() == 'positionEvent':
item = ('position', obj)
else:
item = ('status', obj)
log.info(f'eventkit event ->\n{pformat(item)}')
try:
to_trio.send_nowait(item)
except trio.BrokenResourceError:
log.exception(f'Disconnected from {eventkit_obj} updates')
eventkit_obj.disconnect(push_tradesies)
# hook up to the weird eventkit object - event stream api
for ev_name in [
'orderStatusEvent', # all order updates
'execDetailsEvent', # all "fill" updates
'positionEvent', # avg price updates per symbol per account
# 'commissionReportEvent',
# XXX: ugh, it is a separate event from IB and it's
# emitted as follows:
# self.ib.commissionReportEvent.emit(trade, fill, report)
# XXX: not sure yet if we need these
# 'updatePortfolioEvent',
# XXX: these all seem to be weird ib_insync intrernal
# events that we probably don't care that much about
# given the internal design is wonky af..
# 'newOrderEvent',
# 'orderModifyEvent',
# 'cancelOrderEvent',
# 'openOrderEvent',
]:
eventkit_obj = getattr(client.ib, ev_name)
handler = partial(push_tradesies, eventkit_obj)
eventkit_obj.connect(handler)
# let the engine run and stream
await client.ib.disconnectedEvent
@tractor.context
async def trades_dialogue(
ctx: tractor.Context,
loglevel: str = None,
) -> AsyncIterator[dict[str, Any]]:
# XXX: required to propagate ``tractor`` loglevel to piker logging
get_console_log(loglevel or tractor.current_actor().loglevel)
accounts_def = config.load_accounts(['ib'])
global _client_cache
# deliver positions to subscriber before anything else
all_positions = []
accounts = set()
clients: list[tuple[Client, trio.MemoryReceiveChannel]] = []
async with (
trio.open_nursery() as nurse,
open_client_proxies() as (proxies, aioclients),
):
for account, proxy in proxies.items():
client = aioclients[account]
async def open_stream(
task_status: TaskStatus[
trio.abc.ReceiveChannel
] = trio.TASK_STATUS_IGNORED,
):
# each api client has a unique event stream
async with tractor.to_asyncio.open_channel_from(
recv_trade_updates,
client=client,
) as (first, trade_event_stream):
task_status.started(trade_event_stream)
await trio.sleep_forever()
trade_event_stream = await nurse.start(open_stream)
clients.append((client, trade_event_stream))
assert account in accounts_def
accounts.add(account)
for client in aioclients.values():
for pos in client.positions():
msg = pack_position(pos)
msg.account = accounts_def.inverse[msg.account]
assert msg.account in accounts, (
f'Position for unknown account: {msg.account}')
all_positions.append(msg.dict())
trades: list[dict] = []
for proxy in proxies.values():
trades.append(await proxy.trades())
log.info(f'Loaded {len(trades)} from this session')
# TODO: write trades to local ``trades.toml``
# - use above per-session trades data and write to local file
# - get the "flex reports" working and pull historical data and
# also save locally.
await ctx.started((
all_positions,
tuple(name for name in accounts_def if name in accounts),
))
async with (
ctx.open_stream() as ems_stream,
trio.open_nursery() as n,
):
# start order request handler **before** local trades event loop
n.start_soon(handle_order_requests, ems_stream, accounts_def)
# allocate event relay tasks for each client connection
for client, stream in clients:
n.start_soon(
deliver_trade_events,
stream,
ems_stream,
accounts_def
)
# block until cancelled
await trio.sleep_forever()
async def deliver_trade_events(
trade_event_stream: trio.MemoryReceiveChannel,
ems_stream: tractor.MsgStream,
accounts_def: dict[str, str],
) -> None:
'''Format and relay all trade events for a given client to the EMS.
'''
action_map = {'BOT': 'buy', 'SLD': 'sell'}
# TODO: for some reason we can receive a ``None`` here when the
# ib-gw goes down? Not sure exactly how that's happening looking
# at the eventkit code above but we should probably handle it...
async for event_name, item in trade_event_stream:
log.info(f'ib sending {event_name}:\n{pformat(item)}')
# TODO: templating the ib statuses in comparison with other
# brokers is likely the way to go:
# https://interactivebrokers.github.io/tws-api/interfaceIBApi_1_1EWrapper.html#a17f2a02d6449710b6394d0266a353313
# short list:
# - PendingSubmit
# - PendingCancel
# - PreSubmitted (simulated orders)
# - ApiCancelled (cancelled by client before submission
# to routing)
# - Cancelled
# - Filled
# - Inactive (reject or cancelled but not by trader)
# XXX: here's some other sucky cases from the api
# - short-sale but securities haven't been located, in this
# case we should probably keep the order in some kind of
# weird state or cancel it outright?
# status='PendingSubmit', message=''),
# status='Cancelled', message='Error 404,
# reqId 1550: Order held while securities are located.'),
# status='PreSubmitted', message='')],
if event_name == 'status':
# XXX: begin normalization of nonsense ib_insync internal
# object-state tracking representations...
# unwrap needed data from ib_insync internal types
trade: Trade = item
status: OrderStatus = trade.orderStatus
# skip duplicate filled updates - we get the deats
# from the execution details event
msg = BrokerdStatus(
reqid=trade.order.orderId,
time_ns=time.time_ns(), # cuz why not
account=accounts_def.inverse[trade.order.account],
# everyone doin camel case..
status=status.status.lower(), # force lower case
filled=status.filled,
reason=status.whyHeld,
# this seems to not be necessarily up to date in the
# execDetails event.. so we have to send it here I guess?
remaining=status.remaining,
broker_details={'name': 'ib'},
)
elif event_name == 'fill':
# for wtv reason this is a separate event type
# from IB, not sure why it's needed other then for extra
# complexity and over-engineering :eyeroll:.
# we may just end up dropping these events (or
# translating them to ``Status`` msgs) if we can
# show the equivalent status events are no more latent.
# unpack ib_insync types
# pep-0526 style:
# https://www.python.org/dev/peps/pep-0526/#global-and-local-variable-annotations
trade: Trade
fill: Fill
trade, fill = item
execu: Execution = fill.execution
# TODO: normalize out commissions details?
details = {
'contract': asdict(fill.contract),
'execution': asdict(fill.execution),
'commissions': asdict(fill.commissionReport),
'broker_time': execu.time, # supposedly server fill time
'name': 'ib',
}
msg = BrokerdFill(
# should match the value returned from `.submit_limit()`
reqid=execu.orderId,
time_ns=time.time_ns(), # cuz why not
action=action_map[execu.side],
size=execu.shares,
price=execu.price,
broker_details=details,
# XXX: required by order mode currently
broker_time=details['broker_time'],
)
elif event_name == 'error':
err: dict = item
# f$#$% gawd dammit insync..
con = err['contract']
if isinstance(con, Contract):
err['contract'] = asdict(con)
if err['reqid'] == -1:
log.error(f'TWS external order error:\n{pformat(err)}')
# TODO: what schema for this msg if we're going to make it
# portable across all backends?
# msg = BrokerdError(**err)
continue
elif event_name == 'position':
msg = pack_position(item)
msg.account = accounts_def.inverse[msg.account]
elif event_name == 'event':
# it's either a general system status event or an external
# trade event?
log.info(f"TWS system status: \n{pformat(item)}")
# TODO: support this again but needs parsing at the callback
# level...
# reqid = item.get('reqid', 0)
# if getattr(msg, 'reqid', 0) < -1:
# log.info(f"TWS triggered trade\n{pformat(msg.dict())}")
continue
# msg.reqid = 'tws-' + str(-1 * reqid)
# mark msg as from "external system"
# TODO: probably something better then this.. and start
# considering multiplayer/group trades tracking
# msg.broker_details['external_src'] = 'tws'
# XXX: we always serialize to a dict for msgpack
# translations, ideally we can move to an msgspec (or other)
# encoder # that can be enabled in ``tractor`` ahead of
# time so we can pass through the message types directly.
await ems_stream.send(msg.dict())
def load_flex_trades(
path: Optional[str] = None,
) -> dict[str, str]:
from pprint import pprint
from ib_insync import flexreport, util
conf = get_config()
if not path:
# load ``brokers.toml`` and try to get the flex
# token and query id that must be previously defined
# by the user.
token = conf.get('flex_token')
if not token:
raise ValueError(
'You must specify a ``flex_token`` field in your'
'`brokers.toml` in order load your trade log, see our'
'intructions for how to set this up here:\n'
'PUT LINK HERE!'
)
qid = conf['flex_trades_query_id']
# TODO: hack this into our logging
# system like we do with the API client..
util.logToConsole()
# TODO: rewrite the query part of this with async..httpx?
report = flexreport.FlexReport(
token=token,
queryId=qid,
)
else:
# XXX: another project we could potentially look at,
# https://pypi.org/project/ibflex/
report = flexreport.FlexReport(path=path)
trade_entries = report.extract('Trade')
trades = {
# XXX: LOL apparently ``toml`` has a bug
# where a section key error will show up in the write
# if you leave this as an ``int``?
str(t.__dict__['tradeID']): t.__dict__
for t in trade_entries
}
ln = len(trades)
log.info(f'Loaded {ln} trades from flex query')
trades_by_account = {}
for tid, trade in trades.items():
trades_by_account.setdefault(
# oddly for some so-called "BookTrade" entries
# this field seems to be blank, no cuckin clue.
# trade['ibExecID']
str(trade['accountId']), {}
)[tid] = trade
section = {'ib': trades_by_account}
pprint(section)
# TODO: load the config first and append in
# the new trades loaded here..
try:
config.write(section, 'trades')
except KeyError:
import pdbpp; pdbpp.set_trace() # noqa
if __name__ == '__main__':
load_flex_trades()

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@ -1,938 +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/>.
"""
Data feed endpoints pre-wrapped and ready for use with ``tractor``/``trio``.
"""
from __future__ import annotations
import asyncio
from contextlib import asynccontextmanager as acm
from dataclasses import asdict
from datetime import datetime
from math import isnan
import time
from typing import (
Callable,
Optional,
Awaitable,
)
from async_generator import aclosing
from fuzzywuzzy import process as fuzzy
import numpy as np
import pendulum
import tractor
import trio
from trio_typing import TaskStatus
from piker.data._sharedmem import ShmArray
from .._util import SymbolNotFound, NoData
from .api import (
_adhoc_futes_set,
log,
load_aio_clients,
ibis,
MethodProxy,
open_client_proxies,
get_preferred_data_client,
Ticker,
RequestError,
Contract,
)
# https://interactivebrokers.github.io/tws-api/tick_types.html
tick_types = {
77: 'trade',
# a "utrade" aka an off exchange "unreportable" (dark) vlm:
# https://interactivebrokers.github.io/tws-api/tick_types.html#rt_volume
48: 'dark_trade',
# standard L1 ticks
0: 'bsize',
1: 'bid',
2: 'ask',
3: 'asize',
4: 'last',
5: 'size',
8: 'volume',
# ``ib_insync`` already packs these into
# quotes under the following fields.
# 55: 'trades_per_min', # `'tradeRate'`
# 56: 'vlm_per_min', # `'volumeRate'`
# 89: 'shortable', # `'shortableShares'`
}
@acm
async def open_data_client() -> MethodProxy:
'''
Open the first found preferred "data client" as defined in the
user's ``brokers.toml`` in the ``ib.prefer_data_account`` variable
and deliver that client wrapped in a ``MethodProxy``.
'''
async with (
open_client_proxies() as (proxies, clients),
):
account_name, client = get_preferred_data_client(clients)
proxy = proxies.get(f'ib.{account_name}')
if not proxy:
raise ValueError(
f'No preferred data client could be found for {account_name}!'
)
yield proxy
@acm
async def open_history_client(
symbol: str,
) -> tuple[Callable, int]:
'''
History retreival endpoint - delivers a historical frame callble
that takes in ``pendulum.datetime`` and returns ``numpy`` arrays.
'''
async with open_data_client() as proxy:
async def get_hist(
end_dt: Optional[datetime] = None,
start_dt: Optional[datetime] = None,
) -> tuple[np.ndarray, str]:
out, fails = await get_bars(proxy, symbol, end_dt=end_dt)
# TODO: add logic here to handle tradable hours and only grab
# valid bars in the range
if out is None:
# could be trying to retreive bars over weekend
log.error(f"Can't grab bars starting at {end_dt}!?!?")
raise NoData(
f'{end_dt}',
frame_size=2000,
)
bars, bars_array, first_dt, last_dt = out
# volume cleaning since there's -ve entries,
# wood luv to know what crookery that is..
vlm = bars_array['volume']
vlm[vlm < 0] = 0
return bars_array, first_dt, last_dt
# TODO: it seems like we can do async queries for ohlc
# but getting the order right still isn't working and I'm not
# 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': 6}
_pacing: str = (
'Historical Market Data Service error '
'message:Historical data request pacing violation'
)
async def get_bars(
proxy: MethodProxy,
fqsn: str,
# blank to start which tells ib to look up the latest datum
end_dt: str = '',
) -> (dict, np.ndarray):
'''
Retrieve historical data from a ``trio``-side task using
a ``MethoProxy``.
'''
fails = 0
bars: Optional[list] = None
first_dt: datetime = None
last_dt: datetime = None
if end_dt:
last_dt = pendulum.from_timestamp(end_dt.timestamp())
for _ in range(10):
try:
out = await proxy.bars(
fqsn=fqsn,
end_dt=end_dt,
)
if out:
bars, bars_array = out
else:
await tractor.breakpoint()
if bars_array is None:
raise SymbolNotFound(fqsn)
first_dt = pendulum.from_timestamp(
bars[0].date.timestamp())
last_dt = pendulum.from_timestamp(
bars[-1].date.timestamp())
time = bars_array['time']
assert time[-1] == last_dt.timestamp()
assert time[0] == first_dt.timestamp()
log.info(
f'{len(bars)} bars retreived for {first_dt} -> {last_dt}'
)
return (bars, bars_array, first_dt, last_dt), fails
except RequestError as err:
msg = err.message
# why do we always need to rebind this?
# _err = err
if 'No market data permissions for' in msg:
# TODO: signalling for no permissions searches
raise NoData(
f'Symbol: {fqsn}',
)
elif (
err.code == 162
and 'HMDS query returned no data' in err.message
):
# XXX: this is now done in the storage mgmt layer
# and we shouldn't implicitly decrement the frame dt
# index since the upper layer may be doing so
# concurrently and we don't want to be delivering frames
# that weren't asked for.
log.warning(
f'NO DATA found ending @ {end_dt}\n'
)
# try to decrement start point and look further back
# end_dt = last_dt = last_dt.subtract(seconds=2000)
raise NoData(
f'Symbol: {fqsn}',
frame_size=2000,
)
elif _pacing in msg:
log.warning(
'History throttle rate reached!\n'
'Resetting farms with `ctrl-alt-f` hack\n'
)
# TODO: we might have to put a task lock around this
# method..
hist_ev = proxy.status_event(
'HMDS data farm connection is OK:ushmds'
)
# XXX: other event messages we might want to try and
# wait for but i wasn't able to get any of this
# reliable..
# reconnect_start = proxy.status_event(
# 'Market data farm is connecting:usfuture'
# )
# live_ev = proxy.status_event(
# 'Market data farm connection is OK:usfuture'
# )
# try to wait on the reset event(s) to arrive, a timeout
# will trigger a retry up to 6 times (for now).
tries: int = 2
timeout: float = 10
# try 3 time with a data reset then fail over to
# a connection reset.
for i in range(1, tries):
log.warning('Sending DATA RESET request')
await data_reset_hack(reset_type='data')
with trio.move_on_after(timeout) as cs:
for name, ev in [
# TODO: not sure if waiting on other events
# is all that useful here or not. in theory
# you could wait on one of the ones above
# first to verify the reset request was
# sent?
('history', hist_ev),
]:
await ev.wait()
log.info(f"{name} DATA RESET")
break
if cs.cancelled_caught:
fails += 1
log.warning(
f'Data reset {name} timeout, retrying {i}.'
)
continue
else:
log.warning('Sending CONNECTION RESET')
await data_reset_hack(reset_type='connection')
with trio.move_on_after(timeout) as cs:
for name, ev in [
# TODO: not sure if waiting on other events
# is all that useful here or not. in theory
# you could wait on one of the ones above
# first to verify the reset request was
# sent?
('history', hist_ev),
]:
await ev.wait()
log.info(f"{name} DATA RESET")
if cs.cancelled_caught:
fails += 1
log.warning('Data CONNECTION RESET timeout!?')
else:
raise
return None, None
# else: # throttle wasn't fixed so error out immediately
# raise _err
async def backfill_bars(
fqsn: str,
shm: ShmArray, # type: ignore # noqa
# TODO: we want to avoid overrunning the underlying shm array buffer
# and we should probably calc the number of calls to make depending
# on that until we have the `marketstore` daemon in place in which
# case the shm size will be driven by user config and available sys
# memory.
count: int = 16,
task_status: TaskStatus[trio.CancelScope] = trio.TASK_STATUS_IGNORED,
) -> None:
'''
Fill historical bars into shared mem / storage afap.
TODO: avoid pacing constraints:
https://github.com/pikers/piker/issues/128
'''
# last_dt1 = None
last_dt = None
with trio.CancelScope() as cs:
async with open_data_client() as proxy:
out, fails = await get_bars(proxy, fqsn)
if out is None:
raise RuntimeError("Could not pull currrent history?!")
(first_bars, bars_array, first_dt, last_dt) = out
vlm = bars_array['volume']
vlm[vlm < 0] = 0
last_dt = first_dt
# write historical data to buffer
shm.push(bars_array)
task_status.started(cs)
i = 0
while i < count:
out, fails = await get_bars(proxy, fqsn, end_dt=first_dt)
if out is None:
# could be trying to retreive bars over weekend
# TODO: add logic here to handle tradable hours and
# only grab valid bars in the range
log.error(f"Can't grab bars starting at {first_dt}!?!?")
# XXX: get_bars() should internally decrement dt by
# 2k seconds and try again.
continue
(first_bars, bars_array, first_dt, last_dt) = out
# last_dt1 = last_dt
# last_dt = first_dt
# volume cleaning since there's -ve entries,
# wood luv to know what crookery that is..
vlm = bars_array['volume']
vlm[vlm < 0] = 0
# TODO we should probably dig into forums to see what peeps
# think this data "means" and then use it as an indicator of
# sorts? dinkus has mentioned that $vlms for the day dont'
# match other platforms nor the summary stat tws shows in
# the monitor - it's probably worth investigating.
shm.push(bars_array, prepend=True)
i += 1
asset_type_map = {
'STK': 'stock',
'OPT': 'option',
'FUT': 'future',
'CONTFUT': 'continuous_future',
'CASH': 'forex',
'IND': 'index',
'CFD': 'cfd',
'BOND': 'bond',
'CMDTY': 'commodity',
'FOP': 'futures_option',
'FUND': 'mutual_fund',
'WAR': 'warrant',
'IOPT': 'warran',
'BAG': 'bag',
# 'NEWS': 'news',
}
_quote_streams: dict[str, trio.abc.ReceiveStream] = {}
async def _setup_quote_stream(
from_trio: asyncio.Queue,
to_trio: trio.abc.SendChannel,
symbol: str,
opts: tuple[int] = (
'375', # RT trade volume (excludes utrades)
'233', # RT trade volume (includes utrades)
'236', # Shortable shares
# these all appear to only be updated every 25s thus
# 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
),
contract: Optional[Contract] = None,
) -> trio.abc.ReceiveChannel:
'''
Stream a ticker using the std L1 api.
This task is ``asyncio``-side and must be called from
``tractor.to_asyncio.open_channel_from()``.
'''
global _quote_streams
to_trio.send_nowait(None)
async with load_aio_clients() as accts2clients:
caccount_name, client = get_preferred_data_client(accts2clients)
contract = contract or (await client.find_contract(symbol))
ticker: Ticker = client.ib.reqMktData(contract, ','.join(opts))
# NOTE: it's batch-wise and slow af but I guess could
# be good for backchecking? Seems to be every 5s maybe?
# ticker: Ticker = client.ib.reqTickByTickData(
# contract, 'Last',
# )
# # define a simple queue push routine that streams quote packets
# # to trio over the ``to_trio`` memory channel.
# to_trio, from_aio = trio.open_memory_channel(2**8) # type: ignore
def teardown():
ticker.updateEvent.disconnect(push)
log.error(f"Disconnected stream for `{symbol}`")
client.ib.cancelMktData(contract)
# decouple broadcast mem chan
_quote_streams.pop(symbol, None)
def push(t: Ticker) -> None:
"""
Push quotes to trio task.
"""
# log.debug(t)
try:
to_trio.send_nowait(t)
except (
trio.BrokenResourceError,
# XXX: HACK, not sure why this gets left stale (probably
# due to our terrible ``tractor.to_asyncio``
# implementation for streams.. but if the mem chan
# gets left here and starts blocking just kill the feed?
# trio.WouldBlock,
):
# XXX: eventkit's ``Event.emit()`` for whatever redic
# reason will catch and ignore regular exceptions
# resulting in tracebacks spammed to console..
# Manually do the dereg ourselves.
teardown()
except trio.WouldBlock:
log.warning(
f'channel is blocking symbol feed for {symbol}?'
f'\n{to_trio.statistics}'
)
# except trio.WouldBlock:
# # for slow debugging purposes to avoid clobbering prompt
# # with log msgs
# pass
ticker.updateEvent.connect(push)
try:
await asyncio.sleep(float('inf'))
finally:
teardown()
# return from_aio
@acm
async def open_aio_quote_stream(
symbol: str,
contract: Optional[Contract] = None,
) -> trio.abc.ReceiveStream:
from tractor.trionics import broadcast_receiver
global _quote_streams
from_aio = _quote_streams.get(symbol)
if from_aio:
# if we already have a cached feed deliver a rx side clone to consumer
async with broadcast_receiver(
from_aio,
2**6,
) as from_aio:
yield from_aio
return
async with tractor.to_asyncio.open_channel_from(
_setup_quote_stream,
symbol=symbol,
contract=contract,
) as (first, from_aio):
# cache feed for later consumers
_quote_streams[symbol] = from_aio
yield from_aio
# TODO: cython/mypyc/numba this!
def normalize(
ticker: Ticker,
calc_price: bool = False
) -> dict:
# should be real volume for this contract by default
calc_price = False
# check for special contract types
con = ticker.contract
if type(con) in (
ibis.Commodity,
ibis.Forex,
):
# commodities and forex don't have an exchange name and
# no real volume so we have to calculate the price
suffix = con.secType
# no real volume on this tract
calc_price = True
else:
suffix = con.primaryExchange
if not suffix:
suffix = con.exchange
# append a `.<suffix>` to the returned symbol
# key for derivatives that normally is the expiry
# date key.
expiry = con.lastTradeDateOrContractMonth
if expiry:
suffix += f'.{expiry}'
# convert named tuples to dicts so we send usable keys
new_ticks = []
for tick in ticker.ticks:
if tick and not isinstance(tick, dict):
td = tick._asdict()
td['type'] = tick_types.get(
td['tickType'],
'n/a',
)
new_ticks.append(td)
tbt = ticker.tickByTicks
if tbt:
print(f'tickbyticks:\n {ticker.tickByTicks}')
ticker.ticks = new_ticks
# some contracts don't have volume so we may want to calculate
# a midpoint price based on data we can acquire (such as bid / ask)
if calc_price:
ticker.ticks.append(
{'type': 'trade', 'price': ticker.marketPrice()}
)
# serialize for transport
data = asdict(ticker)
# generate fqsn with possible specialized suffix
# for derivatives, note the lowercase.
data['symbol'] = data['fqsn'] = '.'.join(
(con.symbol, suffix)
).lower()
# convert named tuples to dicts for transport
tbts = data.get('tickByTicks')
if tbts:
data['tickByTicks'] = [tbt._asdict() for tbt in tbts]
# add time stamps for downstream latency measurements
data['brokerd_ts'] = time.time()
# stupid stupid shit...don't even care any more..
# leave it until we do a proper latency study
# if ticker.rtTime is not None:
# data['broker_ts'] = data['rtTime_s'] = float(
# ticker.rtTime.timestamp) / 1000.
data.pop('rtTime')
return data
async def stream_quotes(
send_chan: trio.abc.SendChannel,
symbols: list[str],
feed_is_live: trio.Event,
loglevel: str = None,
# startup sync
task_status: TaskStatus[tuple[dict, dict]] = trio.TASK_STATUS_IGNORED,
) -> None:
'''
Stream symbol quotes.
This is a ``trio`` callable routine meant to be invoked
once the brokerd is up.
'''
# TODO: support multiple subscriptions
sym = symbols[0]
log.info(f'request for real-time quotes: {sym}')
async with open_data_client() as proxy:
con, first_ticker, details = await proxy.get_sym_details(symbol=sym)
first_quote = normalize(first_ticker)
# print(f'first quote: {first_quote}')
def mk_init_msgs() -> dict[str, dict]:
'''
Collect a bunch of meta-data useful for feed startup and
pack in a `dict`-msg.
'''
# pass back some symbol info like min_tick, trading_hours, etc.
syminfo = asdict(details)
syminfo.update(syminfo['contract'])
# nested dataclass we probably don't need and that won't IPC
# serialize
syminfo.pop('secIdList')
# TODO: more consistent field translation
atype = syminfo['asset_type'] = asset_type_map[syminfo['secType']]
# for stocks it seems TWS reports too small a tick size
# such that you can't submit orders with that granularity?
min_tick = 0.01 if atype == 'stock' else 0
syminfo['price_tick_size'] = max(syminfo['minTick'], min_tick)
# for "traditional" assets, volume is normally discreet, not
# a float
syminfo['lot_tick_size'] = 0.0
ibclient = proxy._aio_ns.ib.client
host, port = ibclient.host, ibclient.port
# TODO: for loop through all symbols passed in
init_msgs = {
# pass back token, and bool, signalling if we're the writer
# and that history has been written
sym: {
'symbol_info': syminfo,
'fqsn': first_quote['fqsn'],
},
'status': {
'data_ep': f'{host}:{port}',
},
}
return init_msgs
init_msgs = mk_init_msgs()
# 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.
with trio.move_on_after(1):
contract, first_ticker, details = await proxy.get_quote(symbol=sym)
# it might be outside regular trading hours so see if we can at
# least grab history.
if isnan(first_ticker.last):
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?
feed_is_live.set()
# block and let data history backfill code run.
await trio.sleep_forever()
return # we never expect feed to come up?
async with open_aio_quote_stream(
symbol=sym,
contract=con,
) as stream:
# ugh, clear ticks since we've consumed them
# (ahem, ib_insync is stateful trash)
first_ticker.ticks = []
task_status.started((init_msgs, first_quote))
async with aclosing(stream):
if type(first_ticker.contract) not in (
ibis.Commodity,
ibis.Forex
):
# wait for real volume on feed (trading might be closed)
while True:
ticker = await stream.receive()
# for a real volume contract we rait for the first
# "real" trade to take place
if (
# not calc_price
# and not ticker.rtTime
not ticker.rtTime
):
# spin consuming tickers until we get a real
# market datum
log.debug(f"New unsent ticker: {ticker}")
continue
else:
log.debug("Received first real volume tick")
# ugh, clear ticks since we've consumed them
# (ahem, ib_insync is truly stateful trash)
ticker.ticks = []
# XXX: this works because we don't use
# ``aclosing()`` above?
break
quote = normalize(ticker)
log.debug(f"First ticker received {quote}")
# tell caller quotes are now coming in live
feed_is_live.set()
# last = time.time()
async for ticker in stream:
quote = normalize(ticker)
await send_chan.send({quote['fqsn']: quote})
# ugh, clear ticks since we've consumed them
ticker.ticks = []
# last = time.time()
async def data_reset_hack(
reset_type: str = 'data',
) -> None:
'''
Run key combos for resetting data feeds and yield back to caller
when complete.
This is a linux-only hack around:
https://interactivebrokers.github.io/tws-api/historical_limitations.html#pacing_violations
TODOs:
- a return type that hopefully determines if the hack was
successful.
- other OS support?
- integration with ``ib-gw`` run in docker + Xorg?
'''
async def vnc_click_hack(
reset_type: str = 'data'
) -> None:
'''
Reset the data or netowork connection for the VNC attached
ib gateway using magic combos.
'''
key = {'data': 'f', 'connection': 'r'}[reset_type]
import asyncvnc
async with asyncvnc.connect(
'localhost',
port=3003,
# password='ibcansmbz',
) as client:
# move to middle of screen
# 640x1800
client.mouse.move(
x=500,
y=500,
)
client.mouse.click()
client.keyboard.press('Ctrl', 'Alt', key) # keys are stacked
await tractor.to_asyncio.run_task(vnc_click_hack)
# we don't really need the ``xdotool`` approach any more B)
return True
@tractor.context
async def open_symbol_search(
ctx: tractor.Context,
) -> None:
# TODO: load user defined symbol set locally for fast search?
await ctx.started({})
async with open_data_client() as proxy:
async with ctx.open_stream() as stream:
last = time.time()
async for pattern in stream:
log.debug(f'received {pattern}')
now = time.time()
assert pattern, 'IB can not accept blank search pattern'
# throttle search requests to no faster then 1Hz
diff = now - last
if diff < 1.0:
log.debug('throttle sleeping')
await trio.sleep(diff)
try:
pattern = stream.receive_nowait()
except trio.WouldBlock:
pass
if not pattern or pattern.isspace():
log.warning('empty pattern received, skipping..')
# TODO: *BUG* if nothing is returned here the client
# side will cache a null set result and not showing
# anything to the use on re-searches when this query
# timed out. We probably need a special "timeout" msg
# or something...
# XXX: this unblocks the far end search task which may
# hold up a multi-search nursery block
await stream.send({})
continue
log.debug(f'searching for {pattern}')
last = time.time()
# async batch search using api stocks endpoint and module
# defined adhoc symbol set.
stock_results = []
async def stash_results(target: Awaitable[list]):
stock_results.extend(await target)
async with trio.open_nursery() as sn:
sn.start_soon(
stash_results,
proxy.search_symbols(
pattern=pattern,
upto=5,
),
)
# trigger async request
await trio.sleep(0)
# match against our ad-hoc set immediately
adhoc_matches = fuzzy.extractBests(
pattern,
list(_adhoc_futes_set),
score_cutoff=90,
)
log.info(f'fuzzy matched adhocs: {adhoc_matches}')
adhoc_match_results = {}
if adhoc_matches:
# TODO: do we need to pull contract details?
adhoc_match_results = {i[0]: {} for i in adhoc_matches}
log.debug(f'fuzzy matching stocks {stock_results}')
stock_matches = fuzzy.extractBests(
pattern,
stock_results,
score_cutoff=50,
)
matches = adhoc_match_results | {
item[0]: {} for item in stock_matches
}
# TODO: we used to deliver contract details
# {item[2]: item[0] for item in stock_matches}
log.debug(f"sending matches: {matches.keys()}")
await stream.send(matches)

View File

@ -21,7 +21,6 @@ Kraken backend.
from contextlib import asynccontextmanager as acm
from dataclasses import asdict, field
from datetime import datetime
from pprint import pformat
from typing import Any, Optional, AsyncIterator, Callable, Union
import time
@ -570,10 +569,7 @@ async def handle_order_requests(
order: BrokerdOrder
async for request_msg in ems_order_stream:
log.info(
'Received order request:\n'
f'{pformat(request_msg)}'
)
log.info(f'Received order request {request_msg}')
action = request_msg['action']
@ -632,7 +628,6 @@ async def handle_order_requests(
# update the internal pairing of oid to krakens
# txid with the new txid that is returned on edit
reqid = resp['result']['txid']
# deliver ack that order has been submitted to broker routing
await ems_order_stream.send(
BrokerdOrderAck(
@ -793,10 +788,7 @@ async def trades_dialogue(
# Get websocket token for authenticated data stream
# Assert that a token was actually received.
resp = await client.endpoint('GetWebSocketsToken', {})
# lol wtf is this..
assert resp['error'] == []
token = resp['result']['token']
async with (
@ -1074,7 +1066,7 @@ async def open_history_client(
end_dt = pendulum.from_timestamp(array[-1]['time'])
return array, start_dt, end_dt
yield get_ohlc, {'erlangs': 1, 'rate': 1}
yield get_ohlc
async def backfill_bars(

View File

@ -35,6 +35,7 @@ import pendulum
import trio
import tractor
from async_generator import asynccontextmanager
import pandas as pd
import numpy as np
import wrapt
import asks
@ -668,7 +669,7 @@ def get_OHLCV(
"""
del bar['end']
del bar['VWAP']
bar['start'] = pendulum.from_timestamp(bar['start']) / 10**9
bar['start'] = pd.Timestamp(bar['start']).value/10**9
return tuple(bar.values())

View File

@ -80,9 +80,7 @@ def mk_check(
return check_lt
raise ValueError(
f'trigger: {trigger_price}, last: {known_last}'
)
raise ValueError('trigger: {trigger_price}, last: {known_last}')
@dataclass
@ -563,10 +561,7 @@ async def translate_and_relay_brokerd_events(
name = brokerd_msg['name']
log.info(
f'Received broker trade event:\n'
f'{pformat(brokerd_msg)}'
)
log.info(f'Received broker trade event:\n{pformat(brokerd_msg)}')
if name == 'position':
@ -618,28 +613,19 @@ async def translate_and_relay_brokerd_events(
# packed at submission since we already know it ahead of
# time
paper = brokerd_msg['broker_details'].get('paper_info')
ext = brokerd_msg['broker_details'].get('external')
if paper:
# paperboi keeps the ems id up front
oid = paper['oid']
elif ext:
else:
# may be an order msg specified as "external" to the
# piker ems flow (i.e. generated by some other
# external broker backend client (like tws for ib)
log.error(f"External trade event {ext}")
ext = brokerd_msg['broker_details'].get('external')
if ext:
log.error(f"External trade event {ext}")
continue
else:
# something is out of order, we don't have an oid for
# this broker-side message.
log.error(
'Unknown oid:{oid} for msg:\n'
f'{pformat(brokerd_msg)}'
'Unable to relay message to client side!?'
)
else:
# check for existing live flow entry
entry = book._ems_entries.get(oid)
@ -837,9 +823,7 @@ async def process_client_order_cmds(
if reqid:
# send cancel to brokerd immediately!
log.info(
f'Submitting cancel for live order {reqid}'
)
log.info("Submitting cancel for live order {reqid}")
await brokerd_order_stream.send(msg.dict())

View File

@ -242,7 +242,7 @@ class BrokerdError(BaseModel):
# if no brokerd order request was actually submitted (eg. we errored
# at the ``pikerd`` layer) then there will be ``reqid`` allocated.
reqid: Optional[Union[int, str]] = None
reqid: Union[int, str] = ''
symbol: str
reason: str

View File

@ -1,25 +1,7 @@
# 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/>.
'''
"""
CLI commons.
'''
"""
import os
from pprint import pformat
import click
import trio
@ -72,22 +54,17 @@ def pikerd(loglevel, host, tl, pdb, tsdb):
trio.open_nursery() as n,
):
if tsdb:
from piker.data._ahab import start_ahab
from piker.data.marketstore import start_marketstore
# TODO:
# async with maybe_open_marketstored():
from piker.data._ahab import start_ahab
log.info('Spawning `marketstore` supervisor')
ctn_ready, config, (cid, pid) = await n.start(
ctn_ready = await n.start(
start_ahab,
'marketstored',
start_marketstore,
)
log.info(
f'`marketstore` up!\n'
f'`marketstored` pid: {pid}\n'
f'docker container id: {cid}\n'
f'config: {pformat(config)}'
)
await ctn_ready.wait()
log.info('`marketstore` container:{uid} up')
await trio.sleep_forever()

View File

@ -1,5 +1,5 @@
# piker: trading gear for hackers
# Copyright (C) 2018-present Tyler Goodlet (in stewardship for pikers)
# Copyright (C) 2018-present Tyler Goodlet (in stewardship of piker0)
# 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
@ -16,7 +16,6 @@
"""
Broker configuration mgmt.
"""
import platform
import sys
@ -51,7 +50,7 @@ def get_app_dir(app_name, roaming=True, force_posix=False):
Unix (POSIX):
``~/.foo-bar``
Win XP (roaming):
``C:\Documents and Settings\<user>\Local Settings\Application Data\Foo``
``C:\Documents and Settings\<user>\Local Settings\Application Data\Foo Bar``
Win XP (not roaming):
``C:\Documents and Settings\<user>\Application Data\Foo Bar``
Win 7 (roaming):
@ -82,8 +81,7 @@ def get_app_dir(app_name, roaming=True, force_posix=False):
folder = os.path.expanduser("~")
return os.path.join(folder, app_name)
if force_posix:
return os.path.join(
os.path.expanduser("~/.{}".format(_posixify(app_name))))
return os.path.join(os.path.expanduser("~/.{}".format(_posixify(app_name))))
if sys.platform == "darwin":
return os.path.join(
os.path.expanduser("~/Library/Application Support"), app_name
@ -109,12 +107,7 @@ if _parent_user:
]
)
_conf_names: set[str] = {
'brokers',
'trades',
'watchlists',
}
_file_name = 'brokers.toml'
_watchlists_data_path = os.path.join(_config_dir, 'watchlists.json')
_context_defaults = dict(
default_map={
@ -136,43 +129,23 @@ def _override_config_dir(
_config_dir = path
def _conf_fn_w_ext(
name: str,
) -> str:
# change this if we ever change the config file format.
return f'{name}.toml'
def get_conf_path(
conf_name: str = 'brokers',
) -> str:
def get_broker_conf_path():
"""Return the default config path normally under
``~/.config/piker`` on linux.
Contains files such as:
- brokers.toml
- watchlists.toml
- trades.toml
# maybe coming soon ;)
- signals.toml
- strats.toml
"""
assert conf_name in _conf_names
fn = _conf_fn_w_ext(conf_name)
return os.path.join(
_config_dir,
fn,
)
return os.path.join(_config_dir, _file_name)
def repodir():
'''
Return the abspath to the repo directory.
'''
"""Return the abspath to the repo directory.
"""
dirpath = os.path.abspath(
# we're 3 levels down in **this** module file
dirname(dirname(os.path.realpath(__file__)))
@ -181,27 +154,16 @@ def repodir():
def load(
conf_name: str = 'brokers',
path: str = None
) -> (dict, str):
'''
Load config file by name.
'''
path = path or get_conf_path(conf_name)
"""Load broker config.
"""
path = path or get_broker_conf_path()
if not os.path.isfile(path):
fn = _conf_fn_w_ext(conf_name)
template = os.path.join(
repodir(),
'config',
fn
shutil.copyfile(
os.path.join(repodir(), 'config', 'brokers.toml'),
path,
)
# try to copy in a template config to the user's directory
# if one exists.
if os.path.isfile(template):
shutil.copyfile(template, path)
config = toml.load(path)
log.debug(f"Read config file {path}")
@ -210,17 +172,13 @@ def load(
def write(
config: dict, # toml config as dict
name: str = 'brokers',
path: str = None,
) -> None:
''''
Write broker config to disk.
"""Write broker config to disk.
Create a ``brokers.ini`` file if one does not exist.
'''
path = path or get_conf_path(name)
"""
path = path or get_broker_conf_path()
dirname = os.path.dirname(path)
if not os.path.isdir(dirname):
log.debug(f"Creating config dir {_config_dir}")
@ -230,10 +188,7 @@ def write(
raise ValueError(
"Watch out you're trying to write a blank config!")
log.debug(
f"Writing config `{name}` file to:\n"
f"{path}"
)
log.debug(f"Writing config file {path}")
with open(path, 'w') as cf:
return toml.dump(config, cf)
@ -263,5 +218,4 @@ def load_accounts(
# our default paper engine entry
accounts['paper'] = None
return accounts

View File

@ -1,5 +1,5 @@
# piker: trading gear for hackers
# Copyright (C) 2018-present Tyler Goodlet (in stewardship of pikers)
# Copyright (C) 2018-present Tyler Goodlet (in stewardship of piker0)
# 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
@ -19,25 +19,19 @@ Supervisor for docker with included specific-image service helpers.
'''
import os
import time
from typing import (
Optional,
Callable,
Any,
# Any,
)
from contextlib import asynccontextmanager as acm
import trio
from trio_typing import TaskStatus
import tractor
from tractor.msg import NamespacePath
import docker
import json
from docker.models.containers import Container as DockerContainer
from docker.errors import (
DockerException,
APIError,
)
from docker.models.containers import Container
from docker.errors import DockerException, APIError
from requests.exceptions import ConnectionError, ReadTimeout
from ..log import get_logger, get_console_log
@ -46,14 +40,49 @@ from .. import config
log = get_logger(__name__)
_config = '''
# piker's ``marketstore`` config.
# mount this config using:
# sudo docker run --mount \
# type=bind,source="$HOME/.config/piker/",target="/etc" -i -p \
# 5993:5993 alpacamarkets/marketstore:latest
root_directory: data
listen_port: 5993
grpc_listen_port: 5995
log_level: debug
queryable: true
stop_grace_period: 0
wal_rotate_interval: 5
stale_threshold: 5
enable_add: true
enable_remove: false
triggers:
- module: ondiskagg.so
on: "*/1Sec/OHLCV"
config:
# filter: "nasdaq"
destinations:
- 1Min
- 5Min
- 15Min
- 1H
- 1D
- module: stream.so
on: '*/*/*'
# config:
# filter: "nasdaq"
'''
class DockerNotStarted(Exception):
'Prolly you dint start da daemon bruh'
class ContainerError(RuntimeError):
'Error reported via app-container logging level'
@acm
async def open_docker(
url: Optional[str] = None,
@ -99,216 +128,145 @@ async def open_docker(
finally:
if client:
client.close()
class Container:
'''
Wrapper around a ``docker.models.containers.Container`` to include
log capture and relay through our native logging system and helper
method(s) for cancellation/teardown.
'''
def __init__(
self,
cntr: DockerContainer,
) -> None:
self.cntr = cntr
# log msg de-duplication
self.seen_so_far = set()
async def process_logs_until(
self,
patt: str,
bp_on_msg: bool = False,
) -> bool:
'''
Attempt to capture container log messages and relay through our
native logging system.
'''
seen_so_far = self.seen_so_far
while True:
logs = self.cntr.logs()
entries = logs.decode().split('\n')
for entry in entries:
# ignore null lines
if not entry:
continue
try:
record = json.loads(entry.strip())
except json.JSONDecodeError:
if 'Error' in entry:
raise RuntimeError(entry)
raise
msg = record['msg']
level = record['level']
if msg and entry not in seen_so_far:
seen_so_far.add(entry)
if bp_on_msg:
await tractor.breakpoint()
getattr(log, level, log.error)(f'{msg}')
# print(f'level: {level}')
if level in ('error', 'fatal'):
raise ContainerError(msg)
if patt in msg:
return True
# do a checkpoint so we don't block if cancelled B)
await trio.sleep(0.01)
return False
def try_signal(
self,
signal: str = 'SIGINT',
) -> bool:
try:
# XXX: market store doesn't seem to shutdown nicely all the
# time with this (maybe because there are still open grpc
# connections?) noticably after client connections have been
# made or are in use/teardown. It works just fine if you
# just start and stop the container tho?..
log.cancel(f'SENDING {signal} to {self.cntr.id}')
self.cntr.kill(signal)
return True
except docker.errors.APIError as err:
if 'is not running' in err.explanation:
return False
async def cancel(
self,
stop_msg: str,
) -> None:
cid = self.cntr.id
# first try a graceful cancel
log.cancel(
f'SIGINT cancelling container: {cid}\n'
f'waiting on stop msg: "{stop_msg}"'
)
self.try_signal('SIGINT')
start = time.time()
for _ in range(30):
with trio.move_on_after(0.5) as cs:
cs.shield = True
await self.process_logs_until(stop_msg)
# if we aren't cancelled on above checkpoint then we
# assume we read the expected stop msg and terminated.
break
try:
log.info(f'Polling for container shutdown:\n{cid}')
if self.cntr.status not in {'exited', 'not-running'}:
self.cntr.wait(
timeout=0.1,
condition='not-running',
)
break
except (
ReadTimeout,
):
log.info(f'Still waiting on container:\n{cid}')
continue
except (
docker.errors.APIError,
ConnectionError,
):
log.exception('Docker connection failure')
break
else:
delay = time.time() - start
log.error(
f'Failed to kill container {cid} after {delay}s\n'
'sending SIGKILL..'
)
# get out the big guns, bc apparently marketstore
# doesn't actually know how to terminate gracefully
# :eyeroll:...
self.try_signal('SIGKILL')
self.cntr.wait(
timeout=3,
condition='not-running',
)
log.cancel(f'Container stopped: {cid}')
# client.api._custom_adapter.close()
for c in client.containers.list():
c.kill()
@tractor.context
async def open_ahabd(
async def open_marketstored(
ctx: tractor.Context,
endpoint: str, # ns-pointer str-msg-type
**kwargs,
) -> None:
get_console_log('info', name=__name__)
'''
Start and supervise a marketstore instance with its config bind-mounted
in from the piker config directory on the system.
The equivalent cli cmd to this code is:
sudo docker run --mount \
type=bind,source="$HOME/.config/piker/",target="/etc" -i -p \
5993:5993 alpacamarkets/marketstore:latest
'''
log = get_console_log('info', name=__name__)
async with open_docker() as client:
# TODO: eventually offer a config-oriented API to do the mounts,
# params, etc. passing to ``Containter.run()``?
# call into endpoint for container config/init
ep_func = NamespacePath(endpoint).load_ref()
(
dcntr,
cntr_config,
start_msg,
stop_msg,
) = ep_func(client)
cntr = Container(dcntr)
# create a mount from user's local piker config dir into container
config_dir_mnt = docker.types.Mount(
target='/etc',
source=config._config_dir,
type='bind',
)
with trio.move_on_after(1):
found = await cntr.process_logs_until(start_msg)
# create a user config subdir where the marketstore
# backing filesystem database can be persisted.
persistent_data_dir = os.path.join(
config._config_dir, 'data',
)
if not os.path.isdir(persistent_data_dir):
os.mkdir(persistent_data_dir)
if not found and cntr not in client.containers.list():
raise RuntimeError(
'Failed to start `marketstore` check logs deats'
data_dir_mnt = docker.types.Mount(
target='/data',
source=persistent_data_dir,
type='bind',
)
cntr: Container = client.containers.run(
'alpacamarkets/marketstore:latest',
# do we need this for cmds?
# '-i',
# '-p 5993:5993',
ports={
'5993/tcp': 5993, # jsonrpc
'5995/tcp': 5995, # grpc
},
mounts=[config_dir_mnt, data_dir_mnt],
detach=True,
# stop_signal='SIGINT',
init=True,
# remove=True,
)
try:
seen_so_far = set()
async def process_logs_until(
match: str,
bp_on_msg: bool = False,
):
logs = cntr.logs(stream=True)
for entry in logs:
entry = entry.decode()
try:
record = json.loads(entry.strip())
except json.JSONDecodeError:
if 'Error' in entry:
raise RuntimeError(entry)
msg = record['msg']
level = record['level']
if msg and entry not in seen_so_far:
seen_so_far.add(entry)
if bp_on_msg:
await tractor.breakpoint()
getattr(log, level, log.error)(f'{msg}')
# if "launching tcp listener for all services..." in msg:
if match in msg:
return True
# do a checkpoint so we don't block if cancelled B)
await trio.sleep(0)
return False
with trio.move_on_after(0.5):
found = await process_logs_until(
"launching tcp listener for all services...",
)
await ctx.started((
cntr.cntr.id,
os.getpid(),
cntr_config,
))
if not found and cntr not in client.containers.list():
raise RuntimeError(
'Failed to start `marketstore` check logs deats'
)
try:
await ctx.started(cntr.id)
# TODO: we might eventually want a proxy-style msg-prot here
# to allow remote control of containers without needing
# callers to have root perms?
await trio.sleep_forever()
# block for the expected "teardown log msg"..
await process_logs_until('exiting...',)
except (
BaseException,
# trio.Cancelled,
# KeyboardInterrupt,
):
cntr.kill('SIGINT')
with trio.move_on_after(0.5) as cs:
cs.shield = True
await process_logs_until('exiting...',)
raise
finally:
with trio.CancelScope(shield=True):
await cntr.cancel(stop_msg)
try:
cntr.wait(
timeout=0.5,
condition='not-running',
)
except (
ReadTimeout,
ConnectionError,
):
cntr.kill()
async def start_ahab(
service_name: str,
endpoint: Callable[docker.DockerClient, DockerContainer],
task_status: TaskStatus[
tuple[
trio.Event,
dict[str, Any],
],
] = trio.TASK_STATUS_IGNORED,
task_status: TaskStatus[trio.Event] = trio.TASK_STATUS_IGNORED,
) -> None:
'''
@ -347,19 +305,14 @@ async def start_ahab(
)[2] # named user's uid
)
task_status.started(cn_ready)
async with portal.open_context(
open_ahabd,
endpoint=str(NamespacePath.from_ref(endpoint)),
open_marketstored,
) as (ctx, first):
cid, pid, cntr_config = first
task_status.started((
cn_ready,
cntr_config,
(cid, pid),
))
assert str(first)
# run till cancelled
await trio.sleep_forever()
# since we demoted root perms in this parent
@ -371,6 +324,7 @@ async def start_ahab(
# TODO: we could also consider adding
# a ``tractor.ZombieDetected`` or something that we could raise
# if we find the child didn't terminate.
# await tractor.breakpoint()
except PermissionError:
log.warning('Failed to cancel root permsed container')
@ -383,3 +337,12 @@ async def start_ahab(
return
else:
raise
async def main():
await start_ahab()
await trio.sleep_forever()
if __name__ == '__main__':
trio.run(main)

View File

@ -22,7 +22,7 @@ financial data flows.
from __future__ import annotations
from collections import Counter
import time
from typing import TYPE_CHECKING, Optional, Union
from typing import TYPE_CHECKING, Optional
import tractor
import trio
@ -32,7 +32,6 @@ from ..log import get_logger
if TYPE_CHECKING:
from ._sharedmem import ShmArray
from .feed import _FeedsBus
log = get_logger(__name__)
@ -143,36 +142,17 @@ async def broadcast(
shm: Optional[ShmArray] = None,
) -> None:
'''
Broadcast the given ``shm: ShmArray``'s buffer index step to any
subscribers for a given sample period.
The sent msg will include the first and last index which slice into
the buffer's non-empty data.
'''
# broadcast the buffer index step to any subscribers for
# a given sample period.
subs = sampler.subscribers.get(delay_s, ())
first = last = -1
if shm is None:
periods = sampler.ohlcv_shms.keys()
# if this is an update triggered by a history update there
# might not actually be any sampling bus setup since there's
# no "live feed" active yet.
if periods:
lowest = min(periods)
shm = sampler.ohlcv_shms[lowest][0]
first = shm._first.value
last = shm._last.value
lowest = min(sampler.ohlcv_shms.keys())
shm = sampler.ohlcv_shms[lowest][0]
for stream in subs:
try:
await stream.send({
'first': first,
'last': last,
'index': last,
})
await stream.send({'index': shm._last.value})
except (
trio.BrokenResourceError,
trio.ClosedResourceError
@ -220,7 +200,7 @@ async def iter_ohlc_periods(
async def sample_and_broadcast(
bus: _FeedsBus, # noqa
bus: '_FeedsBus', # noqa
shm: ShmArray,
quote_stream: trio.abc.ReceiveChannel,
brokername: str,
@ -299,13 +279,7 @@ async def sample_and_broadcast(
# end up triggering backpressure which which will
# eventually block this producer end of the feed and
# thus other consumers still attached.
subs: list[
tuple[
Union[tractor.MsgStream, trio.MemorySendChannel],
tractor.Context,
Optional[float], # tick throttle in Hz
]
] = bus._subscribers[broker_symbol.lower()]
subs = bus._subscribers[broker_symbol.lower()]
# NOTE: by default the broker backend doesn't append
# it's own "name" into the fqsn schema (but maybe it
@ -314,7 +288,7 @@ async def sample_and_broadcast(
bsym = f'{broker_symbol}.{brokername}'
lags: int = 0
for (stream, ctx, tick_throttle) in subs:
for (stream, tick_throttle) in subs:
try:
with trio.move_on_after(0.2) as cs:
@ -326,41 +300,25 @@ async def sample_and_broadcast(
(bsym, quote)
)
except trio.WouldBlock:
chan = ctx.chan
ctx = getattr(stream, '_ctx', None)
if ctx:
log.warning(
f'Feed overrun {bus.brokername} ->'
f'{chan.uid} !!!'
f'{ctx.channel.uid} !!!'
)
else:
key = id(stream)
overruns[key] += 1
log.warning(
f'Feed overrun {broker_symbol}'
'@{bus.brokername} -> '
f'Feed overrun {bus.brokername} -> '
f'feed @ {tick_throttle} Hz'
)
if overruns[key] > 6:
# TODO: should we check for the
# context being cancelled? this
# could happen but the
# channel-ipc-pipe is still up.
if not chan.connected():
log.warning(
'Dropping broken consumer:\n'
f'{broker_symbol}:'
f'{ctx.cid}@{chan.uid}'
)
await stream.aclose()
raise trio.BrokenResourceError
else:
log.warning(
'Feed getting overrun bro!\n'
f'{broker_symbol}:'
f'{ctx.cid}@{chan.uid}'
)
continue
log.warning(
f'Dropping consumer {stream}'
)
await stream.aclose()
raise trio.BrokenResourceError
else:
await stream.send(
{bsym: quote}
@ -376,12 +334,11 @@ async def sample_and_broadcast(
trio.ClosedResourceError,
trio.EndOfChannel,
):
chan = ctx.chan
ctx = getattr(stream, '_ctx', None)
if ctx:
log.warning(
'Dropped `brokerd`-quotes-feed connection:\n'
f'{broker_symbol}:'
f'{ctx.cid}@{chan.uid}'
f'{ctx.chan.uid} dropped '
'`brokerd`-quotes-feed connection'
)
if tick_throttle:
assert stream._closed
@ -394,11 +351,7 @@ async def sample_and_broadcast(
try:
subs.remove((stream, tick_throttle))
except ValueError:
log.error(
f'Stream was already removed from subs!?\n'
f'{broker_symbol}:'
f'{ctx.cid}@{chan.uid}'
)
log.error(f'{stream} was already removed from subs!?')
# TODO: a less naive throttler, here's some snippets:
@ -510,7 +463,6 @@ async def uniform_rate_send(
# if the feed consumer goes down then drop
# out of this rate limiter
log.warning(f'{stream} closed')
await stream.aclose()
return
# reset send cycle state

View File

@ -20,7 +20,6 @@ NumPy compatible shared memory buffers for real-time IPC streaming.
"""
from __future__ import annotations
from sys import byteorder
import time
from typing import Optional
from multiprocessing.shared_memory import SharedMemory, _USE_POSIX
@ -99,12 +98,7 @@ class SharedInt:
if _USE_POSIX:
# We manually unlink to bypass all the "resource tracker"
# nonsense meant for non-SC systems.
name = self._shm.name
try:
shm_unlink(name)
except FileNotFoundError:
# might be a teardown race here?
log.warning(f'Shm for {name} already unlinked?')
shm_unlink(self._shm.name)
class _Token(BaseModel):
@ -357,7 +351,7 @@ class ShmArray:
# tries to access ``.array`` (which due to the index
# overlap will be empty). Pretty sure we've fixed it now
# but leaving this here as a reminder.
if prepend and update_first and length:
if prepend and update_first:
assert index < self._first.value
if (
@ -542,26 +536,8 @@ def attach_shm_array(
if key in _known_tokens:
assert _Token.from_msg(_known_tokens[key]) == token, "WTF"
# XXX: ugh, looks like due to the ``shm_open()`` C api we can't
# actually place files in a subdir, see discussion here:
# https://stackoverflow.com/a/11103289
# attach to array buffer and view as per dtype
_err: Optional[Exception] = None
for _ in range(3):
try:
shm = SharedMemory(
name=key,
create=False,
)
break
except OSError as oserr:
_err = oserr
time.sleep(0.1)
else:
if _err:
raise _err
shm = SharedMemory(name=key)
shmarr = np.ndarray(
(size,),
dtype=token.dtype,

View File

@ -21,7 +21,6 @@ from __future__ import annotations
from typing import Any
import decimal
from bidict import bidict
import numpy as np
from pydantic import BaseModel
# from numba import from_dtype
@ -33,7 +32,7 @@ ohlc_fields = [
('high', float),
('low', float),
('close', float),
('volume', float),
('volume', int),
('bar_wap', float),
]
@ -48,16 +47,16 @@ base_ohlc_dtype = np.dtype(ohlc_fields)
# https://github.com/numba/numba/issues/4511
# numba_ohlc_dtype = from_dtype(base_ohlc_dtype)
# map time frame "keys" to seconds values
tf_in_1s = bidict({
1: '1s',
60: '1m',
60*5: '5m',
60*15: '15m',
60*30: '30m',
60*60: '1h',
60*60*24: '1d',
})
# map time frame "keys" to minutes values
tf_in_1m = {
'1m': 1,
'5m': 5,
'15m': 15,
'30m': 30,
'1h': 60,
'4h': 240,
'1d': 1440,
}
def mk_fqsn(

View File

@ -25,29 +25,23 @@ from dataclasses import dataclass, field
from datetime import datetime
from contextlib import asynccontextmanager
from functools import partial
from pprint import pformat
from types import ModuleType
from typing import (
Any,
AsyncIterator, Optional,
Generator,
Awaitable,
TYPE_CHECKING,
Union,
)
import trio
from trio.abc import ReceiveChannel
from trio_typing import TaskStatus
import trimeter
import tractor
from tractor.trionics import maybe_open_context
from pydantic import BaseModel
import pendulum
import numpy as np
from ..brokers import get_brokermod
from ..calc import humanize
from .._cacheables import maybe_open_context
from ..log import get_logger, get_console_log
from .._daemon import (
maybe_spawn_brokerd,
@ -78,8 +72,6 @@ from ..brokers._util import (
DataUnavailable,
)
if TYPE_CHECKING:
from .marketstore import Storage
log = get_logger(__name__)
@ -117,13 +109,7 @@ class _FeedsBus(BaseModel):
# https://github.com/samuelcolvin/pydantic/issues/2816
_subscribers: dict[
str,
list[
tuple[
Union[tractor.MsgStream, trio.MemorySendChannel],
tractor.Context,
Optional[float], # tick throttle in Hz
]
]
list[tuple[tractor.MsgStream, Optional[float]]]
] = {}
async def start_task(
@ -220,34 +206,27 @@ def diff_history(
) -> np.ndarray:
to_push = array
if last_tsdb_dt:
s_diff = (start_dt - last_tsdb_dt).seconds
to_push = array[:s_diff]
# if we detect a partial frame's worth of data
# that is new, slice out only that history and
# write to shm.
if (
s_diff < 0
):
if abs(s_diff) < len(array):
# the + 1 is because ``last_tsdb_dt`` is pulled from
# the last row entry for the ``'time'`` field retreived
# from the tsdb.
to_push = array[abs(s_diff) + 1:]
else:
# pass back only the portion of the array that is
# greater then the last time stamp in the tsdb.
time = array['time']
to_push = array[time >= last_tsdb_dt.timestamp()]
if abs(s_diff) < len(array):
log.info(
f'Pushing partial frame {to_push.size} to shm'
)
# assert last_tsdb_dt > start_dt
# selected = array['time'] > last_tsdb_dt.timestamp()
# to_push = array[selected]
# return to_push
return to_push
return to_push
else:
return array
async def start_backfill(
@ -256,31 +235,17 @@ async def start_backfill(
shm: ShmArray,
last_tsdb_dt: Optional[datetime] = None,
storage: Optional[Storage] = None,
write_tsdb: bool = True,
tsdb_is_up: bool = False,
task_status: TaskStatus[trio.CancelScope] = trio.TASK_STATUS_IGNORED,
) -> int:
async with mod.open_history_client(bfqsn) as (hist, config):
async with mod.open_history_client(bfqsn) as hist:
# get latest query's worth of history all the way
# back to what is recorded in the tsdb
array, start_dt, end_dt = await hist(end_dt=None)
times = array['time']
# sample period step size in seconds
step_size_s = (
pendulum.from_timestamp(times[-1])
- pendulum.from_timestamp(times[-2])
).seconds
# "frame"'s worth of sample period steps in seconds
frame_size_s = len(array) * step_size_s
to_push = diff_history(
array,
start_dt,
@ -294,367 +259,66 @@ async def start_backfill(
for delay_s in sampler.subscribers:
await broadcast(delay_s)
# signal that backfilling to tsdb's end datum is complete
bf_done = trio.Event()
# let caller unblock and deliver latest history frame
task_status.started((shm, start_dt, end_dt, bf_done))
# based on the sample step size, maybe load a certain amount history
if last_tsdb_dt is None:
if step_size_s not in (1, 60):
raise ValueError(
'`piker` only needs to support 1m and 1s sampling '
'but ur api is trying to deliver a longer '
f'timeframe of {step_size_s} ' 'seconds.. so ye, dun '
'do dat brudder.'
)
# when no tsdb "last datum" is provided, we just load
# some near-term history.
periods = {
1: {'days': 1},
60: {'days': 14},
}
if tsdb_is_up:
# do a decently sized backfill and load it into storage.
periods = {
1: {'days': 6},
60: {'years': 2},
}
kwargs = periods[step_size_s]
last_tsdb_dt = start_dt.subtract(**kwargs)
# configure async query throttling
erlangs = config.get('erlangs', 1)
rate = config.get('rate', 1)
frames = {}
def iter_dts(start: datetime):
while True:
hist_period = pendulum.period(
start,
last_tsdb_dt,
)
dtrange = list(hist_period.range('seconds', frame_size_s))
log.debug(f'New datetime index:\n{pformat(dtrange)}')
for end_dt in dtrange:
log.info(f'Yielding next frame start {end_dt}')
start = yield end_dt
# if caller sends a new start date, reset to that
if start is not None:
log.warning(f'Resetting date range: {start}')
break
else:
# from while
return
# maybe a better default (they don't seem to define epoch?!)
last_tsdb_dt = pendulum.now().subtract(days=1)
# pull new history frames until we hit latest
# already in the tsdb or a max count.
# mx_fills = 16
count = 0
# NOTE: when gaps are detected in the retreived history (by
# comparisor of the end - start versus the expected "frame size"
# in seconds) we need a way to alert the async request code not
# to continue to query for data "within the gap". This var is
# set in such cases such that further requests in that period
# are discarded and further we reset the "datetimem query frame
# index" in such cases to avoid needless noop requests.
earliest_end_dt: Optional[datetime] = start_dt
async def get_ohlc_frame(
input_end_dt: datetime,
iter_dts_gen: Generator[datetime],
) -> np.ndarray:
nonlocal count, frames, earliest_end_dt, frame_size_s
# while True:
while (
end_dt > last_tsdb_dt
# and count < mx_fills
):
count += 1
if input_end_dt > earliest_end_dt:
# if a request comes in for an inter-gap frame we
# discard it since likely this request is still
# lingering from before the reset of ``iter_dts()`` via
# ``.send()`` below.
log.info(f'Discarding request history ending @ {input_end_dt}')
# signals to ``trimeter`` loop to discard and
# ``continue`` in it's schedule loop.
return None
try:
log.info(
f'Requesting {step_size_s}s frame ending in {input_end_dt}'
)
array, start_dt, end_dt = await hist(end_dt=input_end_dt)
assert array['time'][0] == start_dt.timestamp()
array, start_dt, end_dt = await hist(end_dt=start_dt)
except NoData:
log.warning(
f'NO DATA for {frame_size_s}s frame @ {input_end_dt} ?!?'
)
return None # discard signal
# decrement by the diff in time last delivered.
end_dt = start_dt.subtract(seconds=(end_dt - start_dt).seconds)
continue
except DataUnavailable as duerr:
except DataUnavailable:
# broker is being a bish and we can't pull
# any more..
log.warning('backend halted on data deliver !?!?')
# ugh, what's a better way?
# TODO: fwiw, we probably want a way to signal a throttle
# condition (eg. with ib) so that we can halt the
# request loop until the condition is resolved?
return duerr
diff = end_dt - start_dt
frame_time_diff_s = diff.seconds
expected_frame_size_s = frame_size_s + step_size_s
if frame_time_diff_s > expected_frame_size_s:
# XXX: query result includes a start point prior to our
# expected "frame size" and thus is likely some kind of
# history gap (eg. market closed period, outage, etc.)
# so indicate to the request loop that this gap is
# expected by both,
# - resetting the ``iter_dts()`` generator to start at
# the new start point delivered in this result
# - setting the non-locally scoped ``earliest_end_dt``
# to this new value so that the request loop doesn't
# get tripped up thinking there's an out of order
# request-result condition.
log.warning(
f'History frame ending @ {end_dt} appears to have a gap:\n'
f'{diff} ~= {frame_time_diff_s} seconds'
)
# reset dtrange gen to new start point
try:
next_end = iter_dts_gen.send(start_dt)
log.info(
f'Reset frame index to start at {start_dt}\n'
f'Was at {next_end}'
)
# NOTE: manually set "earliest end datetime" index-value
# to avoid the request loop getting confused about
# new frames that are earlier in history - i.e. this
# **is not** the case of out-of-order frames from
# an async batch request.
earliest_end_dt = start_dt
except StopIteration:
# gen already terminated meaning we probably already
# exhausted it via frame requests.
log.info(
"Datetime index already exhausted, can't reset.."
)
break
to_push = diff_history(
array,
start_dt,
end_dt,
last_tsdb_dt=last_tsdb_dt,
# XXX: hacky, just run indefinitely
# last_tsdb_dt=None,
)
ln = len(to_push)
if ln:
log.info(f'{ln} bars for {start_dt} -> {end_dt}')
frames[input_end_dt.timestamp()] = (to_push, start_dt, end_dt)
return to_push, start_dt, end_dt
print(f"PULLING {count}")
log.info(f'Pushing {to_push.size} to shm!')
else:
log.warning(
f'{ln} BARS TO PUSH after diff?!: {start_dt} -> {end_dt}'
)
return None
if to_push.size < 1:
break
# initial dt index starts at the start of the first query result
idts = iter_dts(start_dt)
# bail on shm allocation overrun
try:
shm.push(to_push, prepend=True)
except ValueError:
await tractor.breakpoint()
break
async with trimeter.amap(
partial(
get_ohlc_frame,
# we close in the ``iter_dt()`` gen in so we can send
# reset signals as needed for gap dection in the
# history.
iter_dts_gen=idts,
),
idts,
capture_outcome=True,
include_value=True,
# better technical names bruv...
max_at_once=erlangs,
max_per_second=rate,
) as outcomes:
# Then iterate over the return values, as they become available
# (i.e., not necessarily in the original order)
async for input_end_dt, outcome in outcomes:
try:
out = outcome.unwrap()
if out is None:
# skip signal
continue
elif isinstance(out, DataUnavailable):
# no data available case signal.. so just kill
# further requests and basically just stop
# trying...
break
except Exception:
log.exception('uhh trimeter bail')
raise
else:
to_push, start_dt, end_dt = out
if not len(to_push):
# diff returned no new data (i.e. we probablyl hit
# the ``last_tsdb_dt`` point).
# TODO: raise instead?
log.warning(f'No history for range {start_dt} -> {end_dt}')
continue
# pipeline-style pull frames until we need to wait for
# the next in order to arrive.
# i = end_dts.index(input_end_dt)
# print(f'latest end_dt {end_dt} found at index {i}')
epochs = list(reversed(sorted(frames)))
for epoch in epochs:
start = shm.array['time'][0]
last_shm_prepend_dt = pendulum.from_timestamp(start)
earliest_frame_queue_dt = pendulum.from_timestamp(epoch)
diff = start - epoch
if diff < 0:
log.warning(
'Discarding out of order frame:\n'
f'{earliest_frame_queue_dt}'
)
frames.pop(epoch)
continue
# await tractor.breakpoint()
if diff > step_size_s:
if earliest_end_dt < earliest_frame_queue_dt:
# XXX: an expected gap was encountered (see
# logic in ``get_ohlc_frame()``, so allow
# this frame through to the storage layer.
log.warning(
f'Expected history gap of {diff}s:\n'
f'{earliest_frame_queue_dt} <- '
f'{earliest_end_dt}'
)
elif (
erlangs > 1
):
# we don't yet have the next frame to push
# so break back to the async request loop
# while we wait for more async frame-results
# to arrive.
if len(frames) >= erlangs:
log.warning(
'Frame count in async-queue is greater '
'then erlangs?\n'
'There seems to be a gap between:\n'
f'{earliest_frame_queue_dt} <- '
f'{last_shm_prepend_dt}\n'
'Conducting manual call for frame ending: '
f'{last_shm_prepend_dt}'
)
(
to_push,
start_dt,
end_dt,
) = await get_ohlc_frame(
input_end_dt=last_shm_prepend_dt,
iter_dts_gen=idts,
)
last_epoch = to_push['time'][-1]
diff = start - last_epoch
if diff > step_size_s:
await tractor.breakpoint()
raise DataUnavailable(
'An awkward frame was found:\n'
f'{start_dt} -> {end_dt}:\n{to_push}'
)
else:
frames[last_epoch] = (
to_push, start_dt, end_dt)
break
expect_end = pendulum.from_timestamp(start)
expect_start = expect_end.subtract(
seconds=frame_size_s)
log.warning(
'waiting on out-of-order history frame:\n'
f'{expect_end - expect_start}'
)
break
to_push, start_dt, end_dt = frames.pop(epoch)
ln = len(to_push)
# bail gracefully on shm allocation overrun/full condition
try:
shm.push(to_push, prepend=True)
except ValueError:
log.info(
f'Shm buffer overrun on: {start_dt} -> {end_dt}?'
)
break
log.info(
f'Shm pushed {ln} frame:\n'
f'{start_dt} -> {end_dt}'
)
# keep track of most recent "prepended" ``start_dt``
# both for detecting gaps and ensuring async
# frame-result order.
earliest_end_dt = start_dt
if (
storage is not None
and write_tsdb
):
log.info(
f'Writing {ln} frame to storage:\n'
f'{start_dt} -> {end_dt}'
)
await storage.write_ohlcv(
f'{bfqsn}.{mod.name}', # lul..
to_push,
)
# TODO: can we only trigger this if the respective
# history in "in view"?!?
# XXX: extremely important, there can be no checkpoints
# in the block above to avoid entering new ``frames``
# values while we're pipelining the current ones to
# memory...
for delay_s in sampler.subscribers:
await broadcast(delay_s)
for delay_s in sampler.subscribers:
await broadcast(delay_s)
bf_done.set()
# update start index to include all tsdb history
# that was pushed in the caller parent task.
# shm._first.value = 0
async def manage_history(
@ -700,7 +364,6 @@ async def manage_history(
bfqsn = fqsn.replace('.' + mod.name, '')
open_history_client = getattr(mod, 'open_history_client', None)
assert open_history_client
if is_up and opened and open_history_client:
@ -714,7 +377,7 @@ async def manage_history(
# shm backfiller approach below.
# start history anal and load missing new data via backend.
series, _, last_tsdb_dt = await storage.load(fqsn)
series, first_dt, last_dt = await storage.load(fqsn)
broker, symbol, expiry = unpack_fqsn(fqsn)
(
@ -728,22 +391,9 @@ async def manage_history(
mod,
bfqsn,
shm,
last_tsdb_dt=last_tsdb_dt,
tsdb_is_up=True,
storage=storage,
last_tsdb_dt=last_dt,
)
)
# if len(shm.array) < 2:
# TODO: there's an edge case here to solve where if the last
# frame before market close (at least on ib) was pushed and
# there was only "1 new" row pushed from the first backfill
# query-iteration, then the sample step sizing calcs will
# break upstream from here since you can't diff on at least
# 2 steps... probably should also add logic to compute from
# the tsdb series and stash that somewhere as meta data on
# the shm buffer?.. no se.
task_status.started(shm)
some_data_ready.set()
@ -751,10 +401,8 @@ async def manage_history(
# do diff against last start frame of history and only fill
# in from the tsdb an allotment that allows for most recent
# to be loaded into mem *before* tsdb data.
if last_tsdb_dt:
dt_diff_s = (
latest_start_dt - last_tsdb_dt
).seconds
if last_dt:
dt_diff_s = (latest_start_dt - last_dt).seconds
else:
dt_diff_s = 0
@ -780,10 +428,17 @@ async def manage_history(
prepend=True,
# update_first=False,
# start=prepend_start,
field_map=marketstore.ohlc_key_map,
field_map={
'Epoch': 'time',
'Open': 'open',
'High': 'high',
'Low': 'low',
'Close': 'close',
'Volume': 'volume',
},
)
# load as much from storage into shm as space will
# load as much from storage into shm as spacec will
# allow according to user's shm size settings.
count = 0
end = fastest['Epoch'][0]
@ -808,20 +463,15 @@ async def manage_history(
prepend=True,
# update_first=False,
# start=prepend_start,
field_map=marketstore.ohlc_key_map,
field_map={
'Epoch': 'time',
'Open': 'open',
'High': 'high',
'Low': 'low',
'Close': 'close',
'Volume': 'volume',
},
)
# manually trigger step update to update charts/fsps
# which need an incremental update.
# NOTE: the way this works is super duper
# un-intuitive right now:
# - the broadcaster fires a msg to the fsp subsystem.
# - fsp subsys then checks for a sample step diff and
# possibly recomputes prepended history.
# - the fsp then sends back to the parent actor
# (usually a chart showing graphics for said fsp)
# which tells the chart to conduct a manual full
# graphics loop cycle.
for delay_s in sampler.subscribers:
await broadcast(delay_s)
@ -1021,7 +671,7 @@ async def open_feed_bus(
brokername: str,
symbol: str, # normally expected to the broker-specific fqsn
loglevel: str,
tick_throttle: Optional[float] = None,
tick_throttle: Optional[float] = None,
start_stream: bool = True,
) -> None:
@ -1125,10 +775,10 @@ async def open_feed_bus(
recv,
stream,
)
sub = (send, ctx, tick_throttle)
sub = (send, tick_throttle)
else:
sub = (stream, ctx, tick_throttle)
sub = (stream, tick_throttle)
subs = bus._subscribers[bfqsn]
subs.append(sub)
@ -1211,10 +861,10 @@ class Feed:
shm: ShmArray
mod: ModuleType
first_quotes: dict # symbol names to first quote dicts
_portal: tractor.Portal
stream: trio.abc.ReceiveChannel[dict[str, Any]]
status: dict[str, Any]
_portal: tractor.Portal
stream: trio.abc.ReceiveChannel[dict[str, Any]]
throttle_rate: Optional[int] = None
_trade_stream: Optional[AsyncIterator[dict[str, Any]]] = None
@ -1282,7 +932,7 @@ async def install_brokerd_search(
# a backend module?
pause_period=getattr(
brokermod, '_search_conf', {}
).get('pause_period', 0.0616),
).get('pause_period', 0.0616),
):
yield
@ -1355,24 +1005,9 @@ async def open_feed(
first_quotes=first_quotes,
stream=stream,
_portal=portal,
status={},
throttle_rate=tick_throttle,
)
# fill out "status info" that the UI can show
host, port = feed.portal.channel.raddr
if host == '127.0.0.1':
host = 'localhost'
feed.status.update({
'actor_name': feed.portal.channel.uid[0],
'host': host,
'port': port,
'shm': f'{humanize(feed.shm._shm.size)}',
'throttle_rate': feed.throttle_rate,
})
feed.status.update(init_msg.pop('status', {}))
for sym, data in init_msg.items():
si = data['symbol_info']
fqsn = data['fqsn'] + f'.{brokername}'

View File

@ -23,7 +23,6 @@
- todo: tick sequence stream-cloning for testing
'''
from __future__ import annotations
from contextlib import asynccontextmanager as acm
from datetime import datetime
from pprint import pformat
@ -31,7 +30,6 @@ from typing import (
Any,
Optional,
Union,
TYPE_CHECKING,
)
import time
from math import isnan
@ -40,6 +38,7 @@ from bidict import bidict
import msgpack
import pyqtgraph as pg
import numpy as np
import pandas as pd
import tractor
from trio_websocket import open_websocket_url
from anyio_marketstore import (
@ -50,151 +49,12 @@ from anyio_marketstore import (
import pendulum
import purerpc
if TYPE_CHECKING:
import docker
from ._ahab import DockerContainer
from .feed import maybe_open_feed
from ..log import get_logger, get_console_log
log = get_logger(__name__)
# container level config
_config = {
'grpc_listen_port': 5995,
'ws_listen_port': 5993,
'log_level': 'debug',
}
_yaml_config = '''
# piker's ``marketstore`` config.
# mount this config using:
# sudo docker run --mount \
# type=bind,source="$HOME/.config/piker/",target="/etc" -i -p \
# 5993:5993 alpacamarkets/marketstore:latest
root_directory: data
listen_port: {ws_listen_port}
grpc_listen_port: {grpc_listen_port}
log_level: {log_level}
queryable: true
stop_grace_period: 0
wal_rotate_interval: 5
stale_threshold: 5
enable_add: true
enable_remove: false
triggers:
- module: ondiskagg.so
on: "*/1Sec/OHLCV"
config:
# filter: "nasdaq"
destinations:
- 1Min
- 5Min
- 15Min
- 1H
- 1D
- module: stream.so
on: '*/*/*'
# config:
# filter: "nasdaq"
'''.format(**_config)
def start_marketstore(
client: docker.DockerClient,
**kwargs,
) -> tuple[DockerContainer, dict[str, Any]]:
'''
Start and supervise a marketstore instance with its config bind-mounted
in from the piker config directory on the system.
The equivalent cli cmd to this code is:
sudo docker run --mount \
type=bind,source="$HOME/.config/piker/",target="/etc" -i -p \
5993:5993 alpacamarkets/marketstore:latest
'''
import os
import docker
from .. import config
get_console_log('info', name=__name__)
mktsdir = os.path.join(config._config_dir, 'marketstore')
# create when dne
if not os.path.isdir(mktsdir):
os.mkdir(mktsdir)
yml_file = os.path.join(mktsdir, 'mkts.yml')
if not os.path.isfile(yml_file):
log.warning(
f'No `marketstore` config exists?: {yml_file}\n'
'Generating new file from template:\n'
f'{_yaml_config}\n'
)
with open(yml_file, 'w') as yf:
yf.write(_yaml_config)
# create a mount from user's local piker config dir into container
config_dir_mnt = docker.types.Mount(
target='/etc',
source=mktsdir,
type='bind',
)
# create a user config subdir where the marketstore
# backing filesystem database can be persisted.
persistent_data_dir = os.path.join(
mktsdir, 'data',
)
if not os.path.isdir(persistent_data_dir):
os.mkdir(persistent_data_dir)
data_dir_mnt = docker.types.Mount(
target='/data',
source=persistent_data_dir,
type='bind',
)
dcntr: DockerContainer = client.containers.run(
'alpacamarkets/marketstore:latest',
# do we need this for cmds?
# '-i',
# '-p 5993:5993',
ports={
'5993/tcp': 5993, # jsonrpc / ws?
'5995/tcp': 5995, # grpc
},
mounts=[
config_dir_mnt,
data_dir_mnt,
],
detach=True,
# stop_signal='SIGINT',
init=True,
# remove=True,
)
return (
dcntr,
_config,
# expected startup and stop msgs
"launching tcp listener for all services...",
"exiting...",
)
_tick_tbk_ids: tuple[str, str] = ('1Sec', 'TICK')
_tick_tbk: str = '{}/' + '/'.join(_tick_tbk_ids)
@ -242,22 +102,12 @@ _ohlcv_dt = [
# ohlcv sampling
('Open', 'f4'),
('High', 'f4'),
('Low', 'f4'),
('Close', 'f4'),
('Low', 'i8'),
('Close', 'i8'),
('Volume', 'f4'),
]
ohlc_key_map = bidict({
'Epoch': 'time',
'Open': 'open',
'High': 'high',
'Low': 'low',
'Close': 'close',
'Volume': 'volume',
})
def mk_tbk(keys: tuple[str, str, str]) -> str:
'''
Generate a marketstore table key from a tuple.
@ -279,7 +129,7 @@ def quote_to_marketstore_structarray(
'''
if last_fill:
# new fill bby
now = int(pendulum.parse(last_fill).timestamp)
now = timestamp(last_fill)
else:
# this should get inserted upstream by the broker-client to
# subtract from IPC latency
@ -309,6 +159,15 @@ def quote_to_marketstore_structarray(
return np.array([tuple(array_input)], dtype=_quote_dt)
def timestamp(date, **kwargs) -> int:
'''
Return marketstore compatible 'Epoch' integer in nanoseconds
from a date formatted str.
'''
return int(pd.Timestamp(date, **kwargs).value)
@acm
async def get_client(
host: str = 'localhost',
@ -342,7 +201,6 @@ class MarketStoreError(Exception):
# raise MarketStoreError(err)
# map of seconds ints to "time frame" accepted keys
tf_in_1s = bidict({
1: '1Sec',
60: '1Min',
@ -395,12 +253,7 @@ class Storage:
]:
first_tsdb_dt, last_tsdb_dt = None, None
tsdb_arrays = await self.read_ohlcv(
fqsn,
# on first load we don't need to pull the max
# history per request size worth.
limit=3000,
)
tsdb_arrays = await self.read_ohlcv(fqsn)
log.info(f'Loaded tsdb history {tsdb_arrays}')
if tsdb_arrays:
@ -418,7 +271,6 @@ class Storage:
fqsn: str,
timeframe: Optional[Union[int, str]] = None,
end: Optional[int] = None,
limit: int = int(800e3),
) -> tuple[
MarketstoreClient,
@ -441,7 +293,7 @@ class Storage:
# TODO: figure the max limit here given the
# ``purepc`` msg size limit of purerpc: 33554432
limit=limit,
limit=int(800e3),
)
if timeframe is None:
@ -497,7 +349,6 @@ class Storage:
fqsn: str,
ohlcv: np.ndarray,
append_and_duplicate: bool = True,
limit: int = int(800e3),
) -> None:
# build mkts schema compat array for writing
@ -517,65 +368,26 @@ class Storage:
'volume',
]]
m, r = divmod(len(mkts_array), limit)
# write to db
resp = await self.client.write(
mkts_array,
tbk=f'{fqsn}/1Sec/OHLCV',
for i in range(m, 1):
to_push = mkts_array[i-1:i*limit]
# NOTE: will will append duplicates
# for the same timestamp-index.
# TODO: pre deduplicate?
isvariablelength=append_and_duplicate,
)
# write to db
resp = await self.client.write(
to_push,
tbk=f'{fqsn}/1Sec/OHLCV',
log.info(
f'Wrote {mkts_array.size} datums to tsdb\n'
)
# NOTE: will will append duplicates
# for the same timestamp-index.
# TODO: pre deduplicate?
isvariablelength=append_and_duplicate,
)
for resp in resp.responses:
err = resp.error
if err:
raise MarketStoreError(err)
log.info(
f'Wrote {mkts_array.size} datums to tsdb\n'
)
for resp in resp.responses:
err = resp.error
if err:
raise MarketStoreError(err)
if r:
to_push = mkts_array[m*limit:]
# write to db
resp = await self.client.write(
to_push,
tbk=f'{fqsn}/1Sec/OHLCV',
# NOTE: will will append duplicates
# for the same timestamp-index.
# TODO: pre deduplicate?
isvariablelength=append_and_duplicate,
)
log.info(
f'Wrote {mkts_array.size} datums to tsdb\n'
)
for resp in resp.responses:
err = resp.error
if err:
raise MarketStoreError(err)
# XXX: currently the only way to do this is through the CLI:
# sudo ./marketstore connect --dir ~/.config/piker/data
# >> \show mnq.globex.20220617.ib/1Sec/OHLCV 2022-05-15
# and this seems to block and use up mem..
# >> \trim mnq.globex.20220617.ib/1Sec/OHLCV 2022-05-15
# relevant source code for this is here:
# https://github.com/alpacahq/marketstore/blob/master/cmd/connect/session/trim.go#L14
# def delete_range(self, start_dt, end_dt) -> None:
# ...
@acm
async def open_storage_client(
@ -642,6 +454,7 @@ async def tsdb_history_update(
):
profiler(f'opened feed for {fqsn}')
to_append = feed.shm.array
to_prepend = None
@ -657,13 +470,9 @@ async def tsdb_history_update(
tsdb_arrays = await storage.read_ohlcv(fqsn)
# hist diffing
if tsdb_arrays:
for secs in (1, 60):
ts = tsdb_arrays.get(secs)
if ts is not None and len(ts):
# these aren't currently used but can be referenced from
# within the embedded ipython shell below.
to_append = ohlcv[ohlcv['time'] > ts['Epoch'][-1]]
to_prepend = ohlcv[ohlcv['time'] < ts['Epoch'][0]]
onesec = tsdb_arrays[1]
to_append = ohlcv[ohlcv['time'] > onesec['Epoch'][-1]]
to_prepend = ohlcv[ohlcv['time'] < onesec['Epoch'][0]]
profiler('Finished db arrays diffs')

View File

@ -361,7 +361,7 @@ async def cascade(
) -> tuple[TaskTracker, int]:
# TODO: adopt an incremental update engine/approach
# where possible here eventually!
log.debug(f're-syncing fsp {func_name} to source')
log.warning(f're-syncing fsp {func_name} to source')
tracker.cs.cancel()
await tracker.complete.wait()
tracker, index = await n.start(fsp_target)
@ -369,12 +369,7 @@ async def cascade(
# 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,
}})
await client_stream.send('update')
return tracker, index
def is_synced(

View File

@ -25,13 +25,10 @@ from pygments import highlight, lexers, formatters
# Makes it so we only see the full module name when using ``__name__``
# without the extra "piker." prefix.
_proj_name: str = 'piker'
_proj_name = 'piker'
def get_logger(
name: str = None,
) -> logging.Logger:
def get_logger(name: str = None) -> logging.Logger:
'''Return the package log or a sub-log for `name` if provided.
'''
return tractor.log.get_logger(name=name, _root_name=_proj_name)

View File

@ -19,10 +19,10 @@ Chart axes graphics and behavior.
"""
from functools import lru_cache
from typing import Optional, Callable
from typing import List, Tuple, Optional, Callable
from math import floor
import numpy as np
import pandas as pd
import pyqtgraph as pg
from PyQt5 import QtCore, QtGui, QtWidgets
from PyQt5.QtCore import QPointF
@ -103,7 +103,7 @@ class Axis(pg.AxisItem):
def size_to_values(self) -> None:
pass
def txt_offsets(self) -> tuple[int, int]:
def txt_offsets(self) -> Tuple[int, int]:
return tuple(self.style['tickTextOffset'])
@ -218,9 +218,9 @@ class DynamicDateAxis(Axis):
def _indexes_to_timestrs(
self,
indexes: list[int],
indexes: List[int],
) -> list[str]:
) -> List[str]:
chart = self.linkedsplits.chart
flow = chart._flows[chart.name]
@ -242,17 +242,10 @@ class DynamicDateAxis(Axis):
)]
# TODO: **don't** have this hard coded shift to EST
# delay = times[-1] - times[-2]
dts = np.array(epochs, dtype='datetime64[s]')
dts = pd.to_datetime(epochs, unit='s') # - 4*pd.offsets.Hour()
# 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])
delay = times[-1] - times[-2]
return dts.strftime(self.tick_tpl[delay])
def tickStrings(
self,
@ -438,7 +431,7 @@ class XAxisLabel(AxisLabel):
| QtCore.Qt.AlignCenter
)
def size_hint(self) -> tuple[float, float]:
def size_hint(self) -> Tuple[float, float]:
# size to parent axis height
return self._parent.height(), None
@ -452,11 +445,11 @@ class XAxisLabel(AxisLabel):
timestrs = self._parent._indexes_to_timestrs([int(value)])
if not len(timestrs):
if not timestrs.any():
return
pad = 1*' '
self.label_str = pad + str(timestrs[0]) + pad
self.label_str = pad + timestrs[0] + pad
_, y_offset = self._parent.txt_offsets()
@ -517,7 +510,7 @@ class YAxisLabel(AxisLabel):
if getattr(self._parent, 'txt_offsets', False):
self.x_offset, y_offset = self._parent.txt_offsets()
def size_hint(self) -> tuple[float, float]:
def size_hint(self) -> Tuple[float, float]:
# size to parent axis width(-ish)
wsh = self._dpifont.boundingRect(' ').height() / 2
return (

View File

@ -50,10 +50,7 @@ from ._cursor import (
from ..data._sharedmem import ShmArray
from ._l1 import L1Labels
from ._ohlc import BarItems
from ._curve import (
Curve,
StepCurve,
)
from ._curve import FastAppendCurve
from ._style import (
hcolor,
CHART_MARGINS,
@ -982,6 +979,11 @@ class ChartPlotWidget(pg.PlotWidget):
graphics=graphics,
)
# TODO: i think we can eventually remove this if
# we write the ``Flow.update_graphics()`` method right?
# draw after to allow self.scene() to work...
graphics.draw_from_data(shm.array)
self._add_sticky(name, bg_color='davies')
return graphics, data_key
@ -1054,7 +1056,6 @@ class ChartPlotWidget(pg.PlotWidget):
color: Optional[str] = None,
add_label: bool = True,
pi: Optional[pg.PlotItem] = None,
step_mode: bool = False,
**pdi_kwargs,
@ -1071,18 +1072,31 @@ class ChartPlotWidget(pg.PlotWidget):
data_key = array_key or name
curve_type = {
None: Curve,
'step': StepCurve,
# TODO:
# 'bars': BarsItems
}['step' if step_mode else None]
curve = curve_type(
# yah, we wrote our own B)
data = shm.array
curve = FastAppendCurve(
y=data[data_key],
x=data['index'],
# antialias=True,
name=name,
# XXX: pretty sure this is just more overhead
# on data reads and makes graphics rendering no faster
# clipToView=True,
**pdi_kwargs,
)
# XXX: see explanation for different caching modes:
# https://stackoverflow.com/a/39410081
# seems to only be useful if we don't re-generate the entire
# QPainterPath every time
# curve.setCacheMode(QtWidgets.QGraphicsItem.DeviceCoordinateCache)
# don't ever use this - it's a colossal nightmare of artefacts
# and is disastrous for performance.
# curve.setCacheMode(QtWidgets.QGraphicsItem.ItemCoordinateCache)
pi = pi or self.plotItem
self._flows[data_key] = Flow(
@ -1244,9 +1258,7 @@ class ChartPlotWidget(pg.PlotWidget):
def maxmin(
self,
name: Optional[str] = None,
bars_range: Optional[tuple[
int, int, int, int, int, int
]] = None,
bars_range: Optional[tuple[int, int, int, int]] = None,
) -> tuple[float, float]:
'''
@ -1255,11 +1267,10 @@ class ChartPlotWidget(pg.PlotWidget):
If ``bars_range`` is provided use that range.
'''
# print(f'Chart[{self.name}].maxmin()')
profiler = pg.debug.Profiler(
msg=f'`{str(self)}.maxmin(name={name})`: `{self.name}`',
msg=f'`{str(self)}.maxmin()` loop cycle for: `{self.name}`',
disabled=not pg_profile_enabled(),
ms_threshold=ms_slower_then,
gt=ms_slower_then,
delayed=True,
)
@ -1275,14 +1286,7 @@ class ChartPlotWidget(pg.PlotWidget):
key = res = 0, 0
else:
(
first,
l,
lbar,
rbar,
r,
last,
) = bars_range or flow.datums_range()
first, l, lbar, rbar, r, last = bars_range or flow.datums_range()
profiler(f'{self.name} got bars range')
key = round(lbar), round(rbar)

View File

@ -138,20 +138,51 @@ def ohlc_flatten(
return x, flat
def ohlc_to_m4_line(
ohlc: np.ndarray,
px_width: int,
downsample: bool = False,
uppx: Optional[float] = None,
pretrace: bool = False,
) -> tuple[np.ndarray, np.ndarray]:
'''
Convert an OHLC struct-array to a m4 downsampled 1-d array.
'''
xpts, flat = ohlc_flatten(
ohlc,
use_mxmn=pretrace,
)
if downsample:
bins, x, y = ds_m4(
xpts,
flat,
px_width=px_width,
uppx=uppx,
# log_scale=bool(uppx)
)
x = np.broadcast_to(x[:, None], y.shape)
x = (x + np.array([-0.43, 0, 0, 0.43])).flatten()
y = y.flatten()
return x, y
else:
return xpts, flat
def ds_m4(
x: np.ndarray,
y: np.ndarray,
# units-per-pixel-x(dimension)
uppx: float,
# XXX: troll zone / easter egg..
# want to mess with ur pal, pass in the actual
# pixel width here instead of uppx-proper (i.e. pass
# in our ``pg.GraphicsObject`` derivative's ``.px_width()``
# gto mega-trip-out ur bud). Hint, it used to be implemented
# (wrongly) using "pixel width", so check the git history ;)
# this is the width of the data in view
# in display-device-local pixel units.
px_width: int,
uppx: Optional[float] = None,
xrange: Optional[float] = None,
# log_scale: bool = True,
) -> tuple[int, np.ndarray, np.ndarray]:
'''
@ -178,8 +209,29 @@ def ds_m4(
# "i didn't show it in the sample code, but it's accounted for
# in the start and end indices and number of bins"
# optionally log-scale down the "supposed pxs on screen"
# as the units-per-px (uppx) get's large.
# if log_scale:
# assert uppx, 'You must provide a `uppx` value to use log scaling!'
# # uppx = uppx * math.log(uppx, 2)
# # scaler = 2**7 / (1 + math.log(uppx, 2))
# scaler = round(
# max(
# # NOTE: found that a 16x px width brought greater
# # detail, likely due to dpi scaling?
# # px_width=px_width * 16,
# 2**7 / (1 + math.log(uppx, 2)),
# 1
# )
# )
# px_width *= scaler
# else:
# px_width *= 16
# should never get called unless actually needed
assert uppx > 1
assert px_width > 1 and uppx > 0
# NOTE: if we didn't pre-slice the data to downsample
# you could in theory pass these as the slicing params,
@ -196,9 +248,16 @@ def ds_m4(
# uppx *= max(4 / (1 + math.log(uppx, 2)), 1)
pxw = math.ceil(xrange / uppx)
# px_width = math.ceil(px_width)
# scale up the frame "width" directly with uppx
w = uppx
# ratio of indexed x-value to width of raster in pixels.
# this is more or less, uppx: units-per-pixel.
# w = xrange / float(px_width)
# uppx = uppx * math.log(uppx, 2)
# w2 = px_width / uppx
# scale up the width as the uppx get's large
w = uppx # * math.log(uppx, 666)
# ensure we make more then enough
# frames (windows) for the output pixel
@ -217,7 +276,9 @@ def ds_m4(
# print(
# f'uppx: {uppx}\n'
# f'xrange: {xrange}\n'
# f'px_width: {px_width}\n'
# f'pxw: {pxw}\n'
# f'WTF w:{w}, w2:{w2}\n'
# f'frames: {frames}\n'
# )
assert frames >= (xrange / uppx)

View File

@ -98,30 +98,25 @@ class LineDot(pg.CurvePoint):
ev: QtCore.QEvent,
) -> bool:
if (
not isinstance(ev, QtCore.QDynamicPropertyChangeEvent)
or self.curve() is None
):
if not isinstance(
ev, QtCore.QDynamicPropertyChangeEvent
) or self.curve() is None:
return False
# TODO: get rid of this ``.getData()`` and
# make a more pythonic api to retreive backing
# numpy arrays...
# (x, y) = self.curve().getData()
# index = self.property('index')
# # first = self._plot._arrays['ohlc'][0]['index']
# # first = x[0]
# # i = index - first
# if index:
# i = round(index - x[0])
# if i > 0 and i < len(y):
# newPos = (index, y[i])
# QtWidgets.QGraphicsItem.setPos(
# self,
# *newPos,
# )
# return True
(x, y) = self.curve().getData()
index = self.property('index')
# first = self._plot._arrays['ohlc'][0]['index']
# first = x[0]
# i = index - first
if index:
i = round(index - x[0])
if i > 0 and i < len(y):
newPos = (index, y[i])
QtWidgets.QGraphicsItem.setPos(self, *newPos)
return True
return False
@ -196,9 +191,6 @@ class ContentsLabel(pg.LabelItem):
self.setText(
"<b>i</b>:{index}<br/>"
# NB: these fields must be indexed in the correct order via
# the slice syntax below.
"<b>epoch</b>:{}<br/>"
"<b>O</b>:{}<br/>"
"<b>H</b>:{}<br/>"
"<b>L</b>:{}<br/>"
@ -206,15 +198,7 @@ class ContentsLabel(pg.LabelItem):
"<b>V</b>:{}<br/>"
"<b>wap</b>:{}".format(
*array[index - first][
[
'time',
'open',
'high',
'low',
'close',
'volume',
'bar_wap',
]
['open', 'high', 'low', 'close', 'volume', 'bar_wap']
],
name=name,
index=index,

View File

@ -18,37 +18,106 @@
Fast, smooth, sexy curves.
"""
from contextlib import contextmanager as cm
from typing import Optional, Callable
from typing import Optional
import numpy as np
import pyqtgraph as pg
from PyQt5 import QtWidgets
from PyQt5 import QtGui, QtWidgets
from PyQt5.QtWidgets import QGraphicsItem
from PyQt5.QtCore import (
Qt,
QLineF,
QSizeF,
QRectF,
# QRect,
QPointF,
)
from PyQt5.QtGui import (
QPainter,
QPainterPath,
)
from .._profile import pg_profile_enabled, ms_slower_then
from ._style import hcolor
# from ._compression import (
# # ohlc_to_m4_line,
# ds_m4,
# )
from ._compression import (
# ohlc_to_m4_line,
ds_m4,
)
from ..log import get_logger
log = get_logger(__name__)
# TODO: numba this instead..
# def step_path_arrays_from_1d(
# x: np.ndarray,
# y: np.ndarray,
# include_endpoints: bool = True,
# ) -> (np.ndarray, np.ndarray):
# '''
# Generate a "step mode" curve aligned with OHLC style bars
# such that each segment spans each bar (aka "centered" style).
# '''
# # y_out = y.copy()
# # x_out = x.copy()
# # x2 = np.empty(
# # # the data + 2 endpoints on either end for
# # # "termination of the path".
# # (len(x) + 1, 2),
# # # we want to align with OHLC or other sampling style
# # # bars likely so we need fractinal values
# # dtype=float,
# # )
# x2 = np.broadcast_to(
# x[:, None],
# (
# x.size + 1,
# # 4, # only ohlc
# 2,
# ),
# ) + np.array([-0.5, 0.5])
# # x2[0] = x[0] - 0.5
# # x2[1] = x[0] + 0.5
# # x2[0, 0] = x[0] - 0.5
# # x2[0, 1] = x[0] + 0.5
# # x2[1:] = x[:, np.newaxis] + 0.5
# # import pdbpp
# # pdbpp.set_trace()
# # flatten to 1-d
# # x_out = x2.reshape(x2.size)
# # x_out = x2
# # we create a 1d with 2 extra indexes to
# # hold the start and (current) end value for the steps
# # on either end
# y2 = np.empty(
# (len(y) + 1, 2),
# dtype=y.dtype,
# )
# y2[:] = y[:, np.newaxis]
# # y2[-1] = 0
# # y_out = y2
# # y_out = np.empty(
# # 2*len(y) + 2,
# # dtype=y.dtype
# # )
# # flatten and set 0 endpoints
# # y_out[1:-1] = y2.reshape(y2.size)
# # y_out[0] = 0
# # y_out[-1] = 0
# if not include_endpoints:
# return x2[:-1], y2[:-1]
# else:
# return x2, y2
_line_styles: dict[str, int] = {
'solid': Qt.PenStyle.SolidLine,
'dash': Qt.PenStyle.DashLine,
@ -57,43 +126,24 @@ _line_styles: dict[str, int] = {
}
class Curve(pg.GraphicsObject):
class FastAppendCurve(pg.GraphicsObject):
'''
A faster, simpler, append friendly version of
``pyqtgraph.PlotCurveItem`` built for highly customizable real-time
updates.
A faster, append friendly version of ``pyqtgraph.PlotCurveItem``
built for real-time data updates.
This type is a much stripped down version of a ``pyqtgraph`` style
"graphics object" in the sense that the internal lower level
graphics which are drawn in the ``.paint()`` method are actually
rendered outside of this class entirely and instead are assigned as
state (instance vars) here and then drawn during a Qt graphics
cycle.
The main motivation for this more modular, composed design is that
lower level graphics data can be rendered in different threads and
then read and drawn in this main thread without having to worry
about dealing with Qt's concurrency primitives. See
``piker.ui._flows.Renderer`` for details and logic related to lower
level path generation and incremental update. The main differences in
the path generation code include:
- avoiding regeneration of the entire historical path where possible
and instead only updating the "new" segment(s) via a ``numpy``
array diff calc.
- here, the "last" graphics datum-segment is drawn independently
such that near-term (high frequency) discrete-time-sampled style
updates don't trigger a full path redraw.
The main difference is avoiding regeneration of the entire
historical path where possible and instead only updating the "new"
segment(s) via a ``numpy`` array diff calc. Further the "last"
graphic segment is drawn independently such that near-term (high
frequency) discrete-time-sampled style updates don't trigger a full
path redraw.
'''
# sub-type customization methods
sub_br: Optional[Callable] = None
sub_paint: Optional[Callable] = None
declare_paintables: Optional[Callable] = None
def __init__(
self,
x: np.ndarray = None,
y: np.ndarray = None,
*args,
step_mode: bool = False,
@ -107,25 +157,31 @@ class Curve(pg.GraphicsObject):
) -> None:
self._name = name
# brutaaalll, see comments within..
self.yData = None
self.xData = None
self._y = self.yData = y
self._x = self.xData = x
self._vr: Optional[tuple] = None
self._avr: Optional[tuple] = None
self._br = None
# self._last_cap: int = 0
self.path: Optional[QPainterPath] = None
self._name = name
self.path: Optional[QtGui.QPainterPath] = None
# additional path used for appends which tries to avoid
# triggering an update/redraw of the presumably larger
# historical ``.path`` above.
self.use_fpath = use_fpath
self.fast_path: Optional[QPainterPath] = None
self.fast_path: Optional[QtGui.QPainterPath] = None
# TODO: we can probably just dispense with the parent since
# we're basically only using the pen setting now...
super().__init__(*args, **kwargs)
# self._xrange: tuple[int, int] = self.dataBounds(ax=0)
self._xrange: Optional[tuple[int, int]] = None
# self._x_iv_range = None
# self._last_draw = time.time()
self._in_ds: bool = False
self._last_uppx: float = 0
# all history of curve is drawn in single px thickness
pen = pg.mkPen(hcolor(color))
pen.setStyle(_line_styles[style])
@ -139,44 +195,26 @@ class Curve(pg.GraphicsObject):
# self.last_step_pen = pg.mkPen(hcolor(color), width=2)
self.last_step_pen = pg.mkPen(pen, width=2)
# self._last_line: Optional[QLineF] = None
self._last_line = QLineF()
self._last_w: float = 1
self._last_line: Optional[QLineF] = None
self._last_step_rect: Optional[QRectF] = None
# flat-top style histogram-like discrete curve
# self._step_mode: bool = step_mode
self._step_mode: bool = step_mode
# self._fill = True
self._brush = pg.functions.mkBrush(hcolor(fill_color or color))
# NOTE: this setting seems to mostly prevent redraws on mouse
# interaction which is a huge boon for avg interaction latency.
# TODO: one question still remaining is if this makes trasform
# interactions slower (such as zooming) and if so maybe if/when
# we implement a "history" mode for the view we disable this in
# that mode?
# if step_mode:
# don't enable caching by default for the case where the
# only thing drawn is the "last" line segment which can
# have a weird artifact where it won't be fully drawn to its
# endpoint (something we saw on trade rate curves)
self.setCacheMode(QGraphicsItem.DeviceCoordinateCache)
# XXX: see explanation for different caching modes:
# https://stackoverflow.com/a/39410081
# seems to only be useful if we don't re-generate the entire
# QPainterPath every time
# curve.setCacheMode(QtWidgets.QGraphicsItem.DeviceCoordinateCache)
# don't ever use this - it's a colossal nightmare of artefacts
# and is disastrous for performance.
# curve.setCacheMode(QtWidgets.QGraphicsItem.ItemCoordinateCache)
# allow sub-type customization
declare = self.declare_paintables
if declare:
declare()
# TODO: probably stick this in a new parent
# type which will contain our own version of
# what ``PlotCurveItem`` had in terms of base
@ -199,6 +237,9 @@ class Curve(pg.GraphicsObject):
vr = self.viewRect()
l, r = int(vr.left()), int(vr.right())
if not self._xrange:
return 0
start, stop = self._xrange
lbar = max(l, start)
rbar = min(r, stop)
@ -207,10 +248,449 @@ class Curve(pg.GraphicsObject):
QLineF(lbar, 0, rbar, 0)
).length()
def downsample(
self,
x,
y,
px_width,
uppx,
) -> tuple[np.ndarray, np.ndarray]:
# downsample whenever more then 1 pixels per datum can be shown.
# always refresh data bounds until we get diffing
# working properly, see above..
bins, x, y = ds_m4(
x,
y,
px_width=px_width,
uppx=uppx,
# log_scale=bool(uppx)
)
x = np.broadcast_to(x[:, None], y.shape)
# x = (x + np.array([-0.43, 0, 0, 0.43])).flatten()
x = (x + np.array([-0.5, 0, 0, 0.5])).flatten()
y = y.flatten()
# presumably?
self._in_ds = True
return x, y
def update_from_array(
self,
# full array input history
x: np.ndarray,
y: np.ndarray,
# pre-sliced array data that's "in view"
x_iv: np.ndarray,
y_iv: np.ndarray,
view_range: Optional[tuple[int, int]] = None,
profiler: Optional[pg.debug.Profiler] = None,
draw_last: bool = True,
slice_to_head: int = -1,
do_append: bool = True,
should_redraw: bool = False,
) -> QtGui.QPainterPath:
'''
Update curve from input 2-d data.
Compare with a cached "x-range" state and (pre/a)ppend based on
a length diff.
'''
profiler = profiler or pg.debug.Profiler(
msg=f'FastAppendCurve.update_from_array(): `{self._name}`',
disabled=not pg_profile_enabled(),
gt=ms_slower_then,
)
flip_cache = False
if self._xrange:
istart, istop = self._xrange
else:
self._xrange = istart, istop = x[0], x[-1]
# compute the length diffs between the first/last index entry in
# the input data and the last indexes we have on record from the
# last time we updated the curve index.
prepend_length = int(istart - x[0])
append_length = int(x[-1] - istop)
# this is the diff-mode, "data"-rendered index
# tracking var..
self._xrange = x[0], x[-1]
# print(f"xrange: {self._xrange}")
# XXX: lol brutal, the internals of `CurvePoint` (inherited by
# our `LineDot`) required ``.getData()`` to work..
# self.xData = x
# self.yData = y
# self._x, self._y = x, y
# downsampling incremental state checking
uppx = self.x_uppx()
px_width = self.px_width()
uppx_diff = (uppx - self._last_uppx)
new_sample_rate = False
should_ds = self._in_ds
showing_src_data = self._in_ds
# should_redraw = False
# if a view range is passed, plan to draw the
# source ouput that's "in view" of the chart.
if (
view_range
# and not self._in_ds
# and not prepend_length > 0
):
# print(f'{self._name} vr: {view_range}')
# by default we only pull data up to the last (current) index
x_out, y_out = x_iv[:slice_to_head], y_iv[:slice_to_head]
profiler(f'view range slice {view_range}')
vl, vr = view_range
# last_ivr = self._x_iv_range
# ix_iv, iy_iv = self._x_iv_range = (x_iv[0], x_iv[-1])
zoom_or_append = False
last_vr = self._vr
last_ivr = self._avr
if last_vr:
# relative slice indices
lvl, lvr = last_vr
# abs slice indices
al, ar = last_ivr
# append_length = int(x[-1] - istop)
# append_length = int(x_iv[-1] - ar)
# left_change = abs(x_iv[0] - al) >= 1
# right_change = abs(x_iv[-1] - ar) >= 1
if (
# likely a zoom view change
(vr - lvr) > 2 or vl < lvl
# append / prepend update
# we had an append update where the view range
# didn't change but the data-viewed (shifted)
# underneath, so we need to redraw.
# or left_change and right_change and last_vr == view_range
# not (left_change and right_change) and ivr
# (
# or abs(x_iv[ivr] - livr) > 1
):
zoom_or_append = True
# if last_ivr:
# liivl, liivr = last_ivr
if (
view_range != last_vr
and (
append_length > 1
or zoom_or_append
)
):
should_redraw = True
# print("REDRAWING BRUH")
self._vr = view_range
self._avr = x_iv[0], x_iv[slice_to_head]
# x_last = x_iv[-1]
# y_last = y_iv[-1]
# self._last_vr = view_range
# self.disable_cache()
# flip_cache = True
else:
# if (
# not view_range
# or self._in_ds
# ):
# by default we only pull data up to the last (current) index
x_out, y_out = x[:slice_to_head], y[:slice_to_head]
if prepend_length > 0:
should_redraw = True
# check for downsampling conditions
if (
# std m4 downsample conditions
px_width
and abs(uppx_diff) >= 1
):
log.info(
f'{self._name} sampler change: {self._last_uppx} -> {uppx}'
)
self._last_uppx = uppx
new_sample_rate = True
showing_src_data = False
should_redraw = True
should_ds = True
elif (
uppx <= 2
and self._in_ds
):
# we should de-downsample back to our original
# source data so we clear our path data in prep
# to generate a new one from original source data.
should_redraw = True
new_sample_rate = True
should_ds = False
showing_src_data = True
# no_path_yet = self.path is None
if (
self.path is None
or should_redraw
or new_sample_rate
or prepend_length > 0
):
# if (
# not view_range
# or self._in_ds
# ):
# # by default we only pull data up to the last (current) index
# x_out, y_out = x[:-1], y[:-1]
# step mode: draw flat top discrete "step"
# over the index space for each datum.
# if self._step_mode:
# self.disable_cache()
# flip_cache = True
# x_out, y_out = step_path_arrays_from_1d(
# x_out,
# y_out,
# )
# # TODO: numba this bish
# profiler('generated step arrays')
if should_redraw:
if self.path:
# print(f'CLEARING PATH {self._name}')
self.path.clear()
if self.fast_path:
self.fast_path.clear()
profiler('cleared paths due to `should_redraw` set')
if new_sample_rate and showing_src_data:
# if self._in_ds:
log.info(f'DEDOWN -> {self._name}')
self._in_ds = False
elif should_ds and uppx and px_width > 1:
x_out, y_out = self.downsample(
x_out,
y_out,
px_width,
uppx,
)
profiler(f'FULL PATH downsample redraw={should_ds}')
self._in_ds = True
self.path = pg.functions.arrayToQPath(
x_out,
y_out,
connect='all',
finiteCheck=False,
path=self.path,
)
self.prepareGeometryChange()
profiler(
f'generated fresh path. (should_redraw: {should_redraw} should_ds: {should_ds} new_sample_rate: {new_sample_rate})'
)
# profiler(f'DRAW PATH IN VIEW -> {self._name}')
# reserve mem allocs see:
# - https://doc.qt.io/qt-5/qpainterpath.html#reserve
# - https://doc.qt.io/qt-5/qpainterpath.html#capacity
# - https://doc.qt.io/qt-5/qpainterpath.html#clear
# XXX: right now this is based on had hoc checks on a
# hidpi 3840x2160 4k monitor but we should optimize for
# the target display(s) on the sys.
# if no_path_yet:
# self.path.reserve(int(500e3))
# TODO: get this piecewise prepend working - right now it's
# giving heck on vwap...
# elif prepend_length:
# breakpoint()
# prepend_path = pg.functions.arrayToQPath(
# x[0:prepend_length],
# y[0:prepend_length],
# connect='all'
# )
# # swap prepend path in "front"
# old_path = self.path
# self.path = prepend_path
# # self.path.moveTo(new_x[0], new_y[0])
# self.path.connectPath(old_path)
elif (
append_length > 0
and do_append
and not should_redraw
# and not view_range
):
print(f'{self._name} append len: {append_length}')
new_x = x[-append_length - 2:slice_to_head]
new_y = y[-append_length - 2:slice_to_head]
profiler('sliced append path')
# if self._step_mode:
# # new_x, new_y = step_path_arrays_from_1d(
# # new_x,
# # new_y,
# # )
# # # [1:] since we don't need the vertical line normally at
# # # the beginning of the step curve taking the first (x,
# # # y) poing down to the x-axis **because** this is an
# # # appended path graphic.
# # new_x = new_x[1:]
# # new_y = new_y[1:]
# self.disable_cache()
# flip_cache = True
# profiler('generated step data')
profiler(
f'diffed array input, append_length={append_length}'
)
# if should_ds:
# new_x, new_y = self.downsample(
# new_x,
# new_y,
# px_width,
# uppx,
# )
# profiler(f'fast path downsample redraw={should_ds}')
append_path = pg.functions.arrayToQPath(
new_x,
new_y,
connect='all',
finiteCheck=False,
path=self.fast_path,
)
profiler('generated append qpath')
if self.use_fpath:
# an attempt at trying to make append-updates faster..
if self.fast_path is None:
self.fast_path = append_path
# self.fast_path.reserve(int(6e3))
else:
self.fast_path.connectPath(append_path)
size = self.fast_path.capacity()
profiler(f'connected fast path w size: {size}')
# print(f"append_path br: {append_path.boundingRect()}")
# self.path.moveTo(new_x[0], new_y[0])
# path.connectPath(append_path)
# XXX: lol this causes a hang..
# self.path = self.path.simplified()
else:
size = self.path.capacity()
profiler(f'connected history path w size: {size}')
self.path.connectPath(append_path)
# other merging ideas:
# https://stackoverflow.com/questions/8936225/how-to-merge-qpainterpaths
# path.addPath(append_path)
# path.closeSubpath()
# TODO: try out new work from `pyqtgraph` main which
# should repair horrid perf:
# https://github.com/pyqtgraph/pyqtgraph/pull/2032
# ok, nope still horrible XD
# if self._fill:
# # XXX: super slow set "union" op
# self.path = self.path.united(append_path).simplified()
# self.disable_cache()
# flip_cache = True
if draw_last:
self.draw_last(x, y)
profiler('draw last segment')
# if flip_cache:
# # # XXX: seems to be needed to avoid artifacts (see above).
# self.setCacheMode(QGraphicsItem.DeviceCoordinateCache)
# trigger redraw of path
# do update before reverting to cache mode
self.update()
profiler('.update()')
def draw_last(
self,
x: np.ndarray,
y: np.ndarray,
) -> None:
x_last = x[-1]
y_last = y[-1]
# draw the "current" step graphic segment so it lines up with
# the "middle" of the current (OHLC) sample.
if self._step_mode:
self._last_line = QLineF(
x_last - 0.5, 0,
x_last + 0.5, 0,
# x_last, 0,
# x_last, 0,
)
self._last_step_rect = QRectF(
x_last - 0.5, 0,
x_last + 0.5, y_last
# x_last, 0,
# x_last, y_last
)
# print(
# f"path br: {self.path.boundingRect()}",
# f"fast path br: {self.fast_path.boundingRect()}",
# f"last rect br: {self._last_step_rect}",
# )
else:
self._last_line = QLineF(
x[-2], y[-2],
x_last, y_last
)
self.update()
# XXX: lol brutal, the internals of `CurvePoint` (inherited by
# our `LineDot`) required ``.getData()`` to work..
def getData(self):
return self.xData, self.yData
return self._x, self._y
# TODO: drop the above after ``Cursor`` re-work
def get_arrays(self) -> tuple[np.ndarray, np.ndarray]:
return self._x, self._y
def clear(self):
'''
@ -233,18 +713,29 @@ class Curve(pg.GraphicsObject):
# self.fast_path.clear()
self.fast_path = None
@cm
# self.disable_cache()
# self.setCacheMode(QGraphicsItem.DeviceCoordinateCache)
def reset_cache(self) -> None:
self.setCacheMode(QtWidgets.QGraphicsItem.NoCache)
yield
self.disable_cache()
self.setCacheMode(QGraphicsItem.DeviceCoordinateCache)
def disable_cache(self) -> None:
'''
Disable the use of the pixel coordinate cache and trigger a geo event.
'''
# XXX: pretty annoying but, without this there's little
# artefacts on the append updates to the curve...
self.setCacheMode(QtWidgets.QGraphicsItem.NoCache)
# self.prepareGeometryChange()
def boundingRect(self):
'''
Compute and then cache our rect.
'''
if self.path is None:
return QPainterPath().boundingRect()
return QtGui.QPainterPath().boundingRect()
else:
# dynamically override this method after initial
# path is created to avoid requiring the above None check
@ -256,15 +747,14 @@ class Curve(pg.GraphicsObject):
Post init ``.boundingRect()```.
'''
# hb = self.path.boundingRect()
hb = self.path.controlPointRect()
# hb = self.path.boundingRect()
hb_size = hb.size()
fp = self.fast_path
if fp:
fhb = fp.controlPointRect()
hb_size = fhb.size() + hb_size
# print(f'hb_size: {hb_size}')
# if self._last_step_rect:
@ -280,26 +770,13 @@ class Curve(pg.GraphicsObject):
# # hb_size.height() + 1
# )
# if self._last_step_rect:
# br = self._last_step_rect.bottomRight()
w = hb_size.width()
h = hb_size.height()
sbr = self.sub_br
if sbr:
w, h = self.sub_br(w, h)
else:
# assume plain line graphic and use
# default unit step in each direction.
# only on a plane line do we include
# and extra index step's worth of width
# since in the step case the end of the curve
# actually terminates earlier so we don't need
# this for the last step.
w += self._last_w
# ll = self._last_line
h += 1 # ll.y2() - ll.y1()
# else:
# hb_size += QSizeF(1, 1)
w = hb_size.width() + 1
h = hb_size.height() + 1
# br = QPointF(
# self._vr[-1],
@ -320,37 +797,43 @@ class Curve(pg.GraphicsObject):
# hb_size,
QSizeF(w, h)
)
self._br = br
# print(f'bounding rect: {br}')
return br
def paint(
self,
p: QPainter,
p: QtGui.QPainter,
opt: QtWidgets.QStyleOptionGraphicsItem,
w: QtWidgets.QWidget
) -> None:
profiler = pg.debug.Profiler(
msg=f'Curve.paint(): `{self._name}`',
msg=f'FastAppendCurve.paint(): `{self._name}`',
disabled=not pg_profile_enabled(),
ms_threshold=ms_slower_then,
gt=ms_slower_then,
)
self.prepareGeometryChange()
sub_paint = self.sub_paint
if sub_paint:
sub_paint(p, profiler)
if (
self._step_mode
and self._last_step_rect
):
brush = self._brush
p.setPen(self.last_step_pen)
p.drawLine(self._last_line)
profiler('.drawLine()')
p.setPen(self._pen)
# p.drawLines(*tuple(filter(bool, self._last_step_lines)))
# p.drawRect(self._last_step_rect)
p.fillRect(self._last_step_rect, brush)
profiler('.fillRect()')
if self._last_line:
p.setPen(self.last_step_pen)
p.drawLine(self._last_line)
profiler('.drawLine()')
p.setPen(self._pen)
path = self.path
# cap = path.capacity()
# if cap != self._last_cap:
# print(f'NEW CAPACITY: {self._last_cap} -> {cap}')
# self._last_cap = cap
if path:
p.drawPath(path)
@ -368,117 +851,3 @@ class Curve(pg.GraphicsObject):
# if self._fill:
# brush = self.opts['brush']
# p.fillPath(self.path, brush)
def draw_last_datum(
self,
path: QPainterPath,
src_data: np.ndarray,
render_data: np.ndarray,
reset: bool,
array_key: str,
) -> None:
# default line draw last call
# with self.reset_cache():
x = render_data['index']
y = render_data[array_key]
# draw the "current" step graphic segment so it
# lines up with the "middle" of the current
# (OHLC) sample.
self._last_line = QLineF(
x[-2], y[-2],
x[-1], y[-1],
)
return x, y
# TODO: this should probably be a "downsampled" curve type
# that draws a bar-style (but for the px column) last graphics
# element such that the current datum in view can be shown
# (via it's max / min) even when highly zoomed out.
class FlattenedOHLC(Curve):
def draw_last_datum(
self,
path: QPainterPath,
src_data: np.ndarray,
render_data: np.ndarray,
reset: bool,
array_key: str,
) -> None:
lasts = src_data[-2:]
x = lasts['index']
y = lasts['close']
# draw the "current" step graphic segment so it
# lines up with the "middle" of the current
# (OHLC) sample.
self._last_line = QLineF(
x[-2], y[-2],
x[-1], y[-1]
)
return x, y
class StepCurve(Curve):
def declare_paintables(
self,
) -> None:
self._last_step_rect = QRectF()
def draw_last_datum(
self,
path: QPainterPath,
src_data: np.ndarray,
render_data: np.ndarray,
reset: bool,
array_key: str,
w: float = 0.5,
) -> None:
# TODO: remove this and instead place all step curve
# updating into pre-path data render callbacks.
# full input data
x = src_data['index']
y = src_data[array_key]
x_last = x[-1]
y_last = y[-1]
# lol, commenting this makes step curves
# all "black" for me :eyeroll:..
self._last_line = QLineF(
x_last - w, 0,
x_last + w, 0,
)
self._last_step_rect = QRectF(
x_last - w, 0,
x_last + w, y_last,
)
return x, y
def sub_paint(
self,
p: QPainter,
profiler: pg.debug.Profiler,
) -> None:
# p.drawLines(*tuple(filter(bool, self._last_step_lines)))
# p.drawRect(self._last_step_rect)
p.fillRect(self._last_step_rect, self._brush)
profiler('.fillRect()')
def sub_br(
self,
path_w: float,
path_h: float,
) -> (float, float):
# passthrough
return path_w, path_h

View File

@ -29,10 +29,9 @@ from typing import Optional, Any, Callable
import numpy as np
import tractor
import trio
import pendulum
import pyqtgraph as pg
# from .. import brokers
from .. import brokers
from ..data.feed import open_feed
from ._axes import YAxisLabel
from ._chart import (
@ -48,16 +47,15 @@ from ._fsp import (
open_vlm_displays,
)
from ..data._sharedmem import ShmArray
from ..data._source import tf_in_1s
from ._forms import (
FieldsForm,
mk_order_pane_layout,
)
from .order_mode import open_order_mode
from .._profile import (
pg_profile_enabled,
ms_slower_then,
)
# from .._profile import (
# pg_profile_enabled,
# ms_slower_then,
# )
from ..log import get_logger
log = get_logger(__name__)
@ -263,7 +261,6 @@ async def graphics_update_loop(
'vars': {
'tick_margin': tick_margin,
'i_last': i_last,
'i_last_append': i_last,
'last_mx_vlm': last_mx_vlm,
'last_mx': last_mx,
'last_mn': last_mn,
@ -310,7 +307,6 @@ def graphics_update_cycle(
ds: DisplayState,
wap_in_history: bool = False,
trigger_all: bool = False, # flag used by prepend history updates
prepend_update_index: Optional[int] = None,
) -> None:
# TODO: eventually optimize this whole graphics stack with ``numba``
@ -320,12 +316,9 @@ def graphics_update_cycle(
profiler = pg.debug.Profiler(
msg=f'Graphics loop cycle for: `{chart.name}`',
delayed=True,
disabled=not pg_profile_enabled(),
# disabled=True,
ms_threshold=ms_slower_then,
# ms_threshold=1/12 * 1e3,
disabled=True, # not pg_profile_enabled(),
gt=1/12 * 1e3,
# gt=ms_slower_then,
)
# unpack multi-referenced components
@ -341,7 +334,7 @@ def graphics_update_cycle(
for sym, quote in ds.quotes.items():
# compute the first available graphic's x-units-per-pixel
uppx = vlm_chart.view.x_uppx()
xpx = vlm_chart.view.x_uppx()
# NOTE: vlm may be written by the ``brokerd`` backend
# event though a tick sample is not emitted.
@ -360,58 +353,26 @@ def graphics_update_cycle(
i_diff = i_step - vars['i_last']
vars['i_last'] = i_step
append_diff = i_step - vars['i_last_append']
# update the "last datum" (aka extending the flow graphic with
# new data) only if the number of unit steps is >= the number of
# such unit steps per pixel (aka uppx). Iow, if the zoom level
# is such that a datum(s) update to graphics wouldn't span
# to a new pixel, we don't update yet.
do_append = (append_diff >= uppx)
if do_append:
vars['i_last_append'] = i_step
do_rt_update = uppx < update_uppx
# print(
# f'append_diff:{append_diff}\n'
# f'uppx:{uppx}\n'
# f'do_append: {do_append}'
# )
# TODO: we should only run mxmn when we know
# an update is due via ``do_append`` above.
(
brange,
mx_in_view,
mn_in_view,
mx_vlm_in_view,
) = ds.maxmin()
l, lbar, rbar, r = brange
mx = mx_in_view + tick_margin
mn = mn_in_view - tick_margin
profiler('`ds.maxmin()` call')
liv = r >= i_step # the last datum is in view
if (
prepend_update_index is not None
and lbar > prepend_update_index
):
# on a history update (usually from the FSP subsys)
# if the segment of history that is being prepended
# isn't in view there is no reason to do a graphics
# update.
log.debug('Skipping prepend graphics cycle: frame not in view')
return
profiler('maxmin call')
liv = r > i_step # the last datum is in view
# don't real-time "shift" the curve to the
# left unless we get one of the following:
if (
(
# i_diff > 0 # no new sample step
do_append
# and uppx < 4 # chart is zoomed out very far
i_diff > 0 # no new sample step
and xpx < 4 # chart is zoomed out very far
and r >= i_step # the last datum isn't in view
and liv
)
or trigger_all
@ -421,10 +382,67 @@ def graphics_update_cycle(
# and then iff update curves and shift?
chart.increment_view(steps=i_diff)
if vlm_chart:
vlm_chart.increment_view(steps=i_diff)
if vlm_chart:
# always update y-label
ds.vlm_sticky.update_from_data(
*array[-1][['index', 'volume']]
)
profiler('view incremented')
if (
(
xpx < update_uppx
or i_diff > 0
and liv
)
or trigger_all
):
# TODO: make it so this doesn't have to be called
# once the $vlm is up?
vlm_chart.update_graphics_from_flow(
'volume',
# UGGGh, see ``maxmin()`` impl in `._fsp` for
# the overlayed plotitems... we need a better
# bay to invoke a maxmin per overlay..
render=False,
# XXX: ^^^^ THIS IS SUPER IMPORTANT! ^^^^
# without this, since we disable the
# 'volume' (units) chart after the $vlm starts
# up we need to be sure to enable this
# auto-ranging otherwise there will be no handler
# connected to update accompanying overlay
# graphics..
)
if (
mx_vlm_in_view != vars['last_mx_vlm']
):
yrange = (0, mx_vlm_in_view * 1.375)
vlm_chart.view._set_yrange(
yrange=yrange,
)
# print(f'mx vlm: {last_mx_vlm} -> {mx_vlm_in_view}')
vars['last_mx_vlm'] = mx_vlm_in_view
for curve_name, flow in vlm_chart._flows.items():
if not flow.render:
continue
update_fsp_chart(
vlm_chart,
flow,
curve_name,
array_key=curve_name,
do_append=xpx < update_uppx,
)
# is this even doing anything?
# (pretty sure it's the real-time
# resizing from last quote?)
fvb = flow.plot.vb
fvb._set_yrange(
autoscale_linked_plots=False,
name=curve_name,
)
ticks_frame = quote.get('ticks', ())
@ -471,20 +489,15 @@ def graphics_update_cycle(
# update ohlc sampled price bars
if (
do_rt_update
or do_append
xpx < update_uppx
or i_diff > 0
or trigger_all
):
chart.update_graphics_from_flow(
chart.name,
# do_append=uppx < update_uppx,
do_append=do_append,
do_append=xpx < update_uppx,
)
# NOTE: we always update the "last" datum
# since the current range should at least be updated
# to it's max/min on the last pixel.
# iterate in FIFO order per tick-frame
for typ, tick in lasts.items():
@ -574,7 +587,6 @@ def graphics_update_cycle(
main_vb._ic is None
or not main_vb._ic.is_set()
):
# print(f'updating range due to mxmn')
main_vb._set_yrange(
# TODO: we should probably scale
# the view margin based on the size
@ -585,120 +597,21 @@ def graphics_update_cycle(
yrange=(mn, mx),
)
# XXX: update this every draw cycle to make L1-always-in-view work.
vars['last_mx'], vars['last_mn'] = mx, mn
# run synchronous update on all linked flows
# TODO: should the "main" (aka source) flow be special?
for curve_name, flow in chart._flows.items():
# update any overlayed fsp flows
if curve_name != chart.data_key:
update_fsp_chart(
chart,
flow,
curve_name,
array_key=curve_name,
)
# TODO: should the "main" (aka source) flow be special?
if curve_name == chart.data_key:
continue
# even if we're downsampled bigly
# draw the last datum in the final
# px column to give the user the mx/mn
# range of that set.
if (
not do_append
# and not do_rt_update
and liv
):
flow.draw_last(
array_key=curve_name,
only_last_uppx=True,
)
# volume chart logic..
# TODO: can we unify this with the above loop?
if vlm_chart:
# always update y-label
ds.vlm_sticky.update_from_data(
*array[-1][['index', 'volume']]
update_fsp_chart(
chart,
flow,
curve_name,
array_key=curve_name,
)
if (
(
do_rt_update
or do_append
and liv
)
or trigger_all
):
# TODO: make it so this doesn't have to be called
# once the $vlm is up?
vlm_chart.update_graphics_from_flow(
'volume',
# UGGGh, see ``maxmin()`` impl in `._fsp` for
# the overlayed plotitems... we need a better
# bay to invoke a maxmin per overlay..
render=False,
# XXX: ^^^^ THIS IS SUPER IMPORTANT! ^^^^
# without this, since we disable the
# 'volume' (units) chart after the $vlm starts
# up we need to be sure to enable this
# auto-ranging otherwise there will be no handler
# connected to update accompanying overlay
# graphics..
)
profiler('`vlm_chart.update_graphics_from_flow()`')
if (
mx_vlm_in_view != vars['last_mx_vlm']
):
yrange = (0, mx_vlm_in_view * 1.375)
vlm_chart.view._set_yrange(
yrange=yrange,
)
profiler('`vlm_chart.view._set_yrange()`')
# print(f'mx vlm: {last_mx_vlm} -> {mx_vlm_in_view}')
vars['last_mx_vlm'] = mx_vlm_in_view
for curve_name, flow in vlm_chart._flows.items():
if (
curve_name != 'volume' and
flow.render and (
liv and
do_rt_update or do_append
)
):
update_fsp_chart(
vlm_chart,
flow,
curve_name,
array_key=curve_name,
# do_append=uppx < update_uppx,
do_append=do_append,
)
# is this even doing anything?
# (pretty sure it's the real-time
# resizing from last quote?)
fvb = flow.plot.vb
fvb._set_yrange(
name=curve_name,
)
elif (
curve_name != 'volume'
and not do_append
and liv
and uppx >= 1
# even if we're downsampled bigly
# draw the last datum in the final
# px column to give the user the mx/mn
# range of that set.
):
# always update the last datum-element
# graphic for all flows
# print(f'drawing last {flow.name}')
flow.draw_last(array_key=curve_name)
async def display_symbol_data(
godwidget: GodWidget,
@ -723,7 +636,7 @@ async def display_symbol_data(
)
# historical data fetch
# brokermod = brokers.get_brokermod(provider)
brokermod = brokers.get_brokermod(provider)
# ohlc_status_done = sbar.open_status(
# 'retreiving OHLC history.. ',
@ -746,17 +659,11 @@ async def display_symbol_data(
symbol = feed.symbols[sym]
fqsn = symbol.front_fqsn()
times = bars['time']
end = pendulum.from_timestamp(times[-1])
start = pendulum.from_timestamp(times[times != times[-1]][-1])
step_size_s = (end - start).seconds
tf_key = tf_in_1s[step_size_s]
# load in symbol's ohlc data
godwidget.window.setWindowTitle(
f'{fqsn} '
f'tick:{symbol.tick_size} '
f'step:{tf_key} '
f'step:1s '
)
linked = godwidget.linkedsplits

View File

@ -49,6 +49,10 @@ from . import _style
log = get_logger(__name__)
# pyqtgraph global config
# might as well enable this for now?
pg.useOpenGL = True
pg.enableExperimental = True
# engage core tweaks that give us better response
# latency then the average pg user
_do_overrides()

View File

@ -1,83 +0,0 @@
# piker: trading gear for hackers
# Copyright (C) Tyler Goodlet (in stewardship for piker0)
# 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/>.
"""
Feed status and controls widget(s) for embedding in a UI-pane.
"""
from __future__ import annotations
from textwrap import dedent
from typing import TYPE_CHECKING
# from PyQt5.QtCore import Qt
from ._style import _font, _font_small
# from ..calc import humanize
from ._label import FormatLabel
if TYPE_CHECKING:
from ._chart import ChartPlotWidget
from ..data.feed import Feed
from ._forms import FieldsForm
def mk_feed_label(
form: FieldsForm,
feed: Feed,
chart: ChartPlotWidget,
) -> FormatLabel:
'''
Generate a label from feed meta-data to be displayed
in a UI sidepane.
TODO: eventually buttons for changing settings over
a feed control protocol.
'''
status = feed.status
assert status
msg = dedent("""
actor: **{actor_name}**\n
|_ @**{host}:{port}**\n
""")
for key, val in status.items():
if key in ('host', 'port', 'actor_name'):
continue
msg += f'\n|_ {key}: **{{{key}}}**\n'
feed_label = FormatLabel(
fmt_str=msg,
# |_ streams: **{symbols}**\n
font=_font.font,
font_size=_font_small.px_size,
font_color='default_lightest',
)
# form.vbox.setAlignment(feed_label, Qt.AlignBottom)
# form.vbox.setAlignment(Qt.AlignBottom)
_ = chart.height() - (
form.height() +
form.fill_bar.height()
# feed_label.height()
)
feed_label.format(**feed.status)
return feed_label

File diff suppressed because it is too large Load Diff

View File

@ -750,12 +750,12 @@ def mk_order_pane_layout(
parent=parent,
fields_schema={
'account': {
'label': '**accnt**:',
'label': '**account**:',
'type': 'select',
'default_value': ['paper'],
},
'size_unit': {
'label': '**alloc**:',
'label': '**allocate**:',
'type': 'select',
'default_value': [
'$ size',

View File

@ -435,16 +435,12 @@ class FspAdmin:
# wait for graceful shutdown signal
async with stream.subscribe() as stream:
async for msg in stream:
info = msg.get('fsp_update')
if info:
if msg == 'update':
# if the chart isn't hidden try to update
# the data on screen.
if not self.linked.isHidden():
log.debug(f'Re-syncing graphics for fsp: {ns_path}')
self.linked.graphics_cycle(
trigger_all=True,
prepend_update_index=info['first'],
)
log.info(f'Re-syncing graphics for fsp: {ns_path}')
self.linked.graphics_cycle(trigger_all=True)
else:
log.info(f'recved unexpected fsp engine msg: {msg}')
@ -635,7 +631,7 @@ async def open_vlm_displays(
)
# force 0 to always be in view
def multi_maxmin(
def maxmin(
names: list[str],
) -> tuple[float, float]:
@ -651,7 +647,7 @@ async def open_vlm_displays(
return 0, mx
chart.view.maxmin = partial(multi_maxmin, names=['volume'])
chart.view.maxmin = partial(maxmin, names=['volume'])
# TODO: fix the x-axis label issue where if you put
# the axis on the left it's totally not lined up...
@ -741,20 +737,19 @@ async def open_vlm_displays(
'dolla_vlm',
'dark_vlm',
]
# dvlm_rate_fields = [
# 'dvlm_rate',
# 'dark_dvlm_rate',
# ]
dvlm_rate_fields = [
'dvlm_rate',
'dark_dvlm_rate',
]
trade_rate_fields = [
'trade_rate',
'dark_trade_rate',
]
group_mxmn = partial(
multi_maxmin,
maxmin,
# keep both regular and dark vlm in view
names=fields,
# names=fields + dvlm_rate_fields,
names=fields + dvlm_rate_fields,
)
# add custom auto range handler
@ -821,11 +816,11 @@ async def open_vlm_displays(
)
await started.wait()
# chart_curves(
# dvlm_rate_fields,
# dvlm_pi,
# fr_shm,
# )
chart_curves(
dvlm_rate_fields,
dvlm_pi,
fr_shm,
)
# TODO: is there a way to "sync" the dual axes such that only
# one curve is needed?
@ -863,7 +858,7 @@ async def open_vlm_displays(
)
# add custom auto range handler
tr_pi.vb.maxmin = partial(
multi_maxmin,
maxmin,
# keep both regular and dark vlm in view
names=trade_rate_fields,
)

View File

@ -570,13 +570,6 @@ class ChartView(ViewBox):
self._resetTarget()
self.scaleBy(s, focal)
# XXX: the order of the next 2 lines i'm pretty sure
# matters, we want the resize to trigger before the graphics
# update, but i gotta feelin that because this one is signal
# based (and thus not necessarily sync invoked right away)
# that calling the resize method manually might work better.
self.sigRangeChangedManually.emit(mask)
# XXX: without this is seems as though sometimes
# when zooming in from far out (and maybe vice versa?)
# the signal isn't being fired enough since if you pan
@ -587,6 +580,12 @@ class ChartView(ViewBox):
# fires don't happen?
self.maybe_downsample_graphics()
self.sigRangeChangedManually.emit(mask)
# self._ic.set()
# self._ic = None
# self.chart.resume_all_feeds()
ev.accept()
def mouseDragEvent(
@ -749,6 +748,7 @@ class ChartView(ViewBox):
# set from recursion errors.
autoscale_linked_plots: bool = False,
name: Optional[str] = None,
# autoscale_overlays: bool = False,
) -> None:
'''
@ -759,12 +759,10 @@ class ChartView(ViewBox):
data set.
'''
name = self.name
# print(f'YRANGE ON {name}')
profiler = pg.debug.Profiler(
msg=f'`ChartView._set_yrange()`: `{name}`',
msg=f'`ChartView._set_yrange()`: `{self.name}`',
disabled=not pg_profile_enabled(),
ms_threshold=ms_slower_then,
gt=ms_slower_then,
delayed=True,
)
set_range = True
@ -790,22 +788,52 @@ class ChartView(ViewBox):
elif yrange is not None:
ylow, yhigh = yrange
# calculate max, min y values in viewable x-range from data.
# Make sure min bars/datums on screen is adhered.
# else:
# TODO: eventually we should point to the
# ``FlowsTable`` (or wtv) which should perform
# the group operations?
# flow = chart._flows[name or chart.name]
# br = bars_range or chart.bars_range()
# br = bars_range or chart.bars_range()
# profiler(f'got bars range: {br}')
# TODO: maybe should be a method on the
# chart widget/item?
# if False:
# if autoscale_linked_plots:
# # avoid recursion by sibling plots
# linked = self.linkedsplits
# plots = list(linked.subplots.copy().values())
# main = linked.chart
# if main:
# plots.append(main)
# for chart in plots:
# if chart and not chart._static_yrange:
# chart.cv._set_yrange(
# # bars_range=br,
# autoscale_linked_plots=False,
# )
# profiler('autoscaled linked plots')
if set_range:
# XXX: only compute the mxmn range
# if none is provided as input!
if not yrange:
# flow = chart._flows[name]
# XXX: only compute the mxmn range
# if none is provided as input!
yrange = self._maxmin()
if yrange is None:
log.warning(f'No yrange provided for {name}!?')
print(f"WTF NO YRANGE {name}")
log.warning(f'No yrange provided for {self.name}!?')
print(f"WTF NO YRANGE {self.name}")
return
ylow, yhigh = yrange
profiler(f'callback ._maxmin(): {yrange}')
profiler(f'maxmin(): {yrange}')
# view margins: stay within a % of the "true range"
diff = yhigh - ylow
@ -893,10 +921,7 @@ class ChartView(ViewBox):
else:
return 0
def maybe_downsample_graphics(
self,
autoscale_overlays: bool = True,
):
def maybe_downsample_graphics(self):
profiler = pg.debug.Profiler(
msg=f'ChartView.maybe_downsample_graphics() for {self.name}',
@ -906,8 +931,9 @@ class ChartView(ViewBox):
# ``.update_graphics_from_flow()`` nested profiling likely
# due to the way delaying works and garbage collection of
# the profiler in the delegated method calls.
ms_threshold=6,
# ms_threshold=ms_slower_then,
delayed=False,
# gt=3,
gt=ms_slower_then,
)
# TODO: a faster single-loop-iterator way of doing this XD
@ -930,18 +956,11 @@ class ChartView(ViewBox):
chart.update_graphics_from_flow(
name,
use_vr=True,
# gets passed down into graphics obj
profiler=profiler,
)
# for each overlay on this chart auto-scale the
# y-range to max-min values.
if autoscale_overlays:
overlay = chart.pi_overlay
if overlay:
for pi in overlay.overlays:
pi.vb._set_yrange(
# TODO: get the range once up front...
# bars_range=br,
)
profiler('autoscaled linked plots')
profiler(f'range change updated {chart_name}:{name}')
profiler(f'<{chart_name}>.update_graphics_from_flow({name})')
profiler.finish()

View File

@ -25,13 +25,17 @@ from typing import (
import numpy as np
import pyqtgraph as pg
from numba import njit, float64, int64 # , optional
from PyQt5 import QtCore, QtGui, QtWidgets
from PyQt5.QtCore import QLineF, QPointF
from PyQt5.QtGui import QPainterPath
# from numba import types as ntypes
# from ..data._source import numba_ohlc_dtype
from .._profile import pg_profile_enabled, ms_slower_then
from ._style import hcolor
from ..log import get_logger
from ._curve import FastAppendCurve
from ._compression import ohlc_flatten
if TYPE_CHECKING:
from ._chart import LinkedSplits
@ -42,7 +46,6 @@ log = get_logger(__name__)
def bar_from_ohlc_row(
row: np.ndarray,
# 0.5 is no overlap between arms, 1.0 is full overlap
w: float = 0.43
) -> tuple[QLineF]:
@ -81,11 +84,129 @@ def bar_from_ohlc_row(
return [hl, o, c]
@njit(
# TODO: for now need to construct this manually for readonly arrays, see
# https://github.com/numba/numba/issues/4511
# ntypes.tuple((float64[:], float64[:], float64[:]))(
# numba_ohlc_dtype[::1], # contiguous
# int64,
# optional(float64),
# ),
nogil=True
)
def path_arrays_from_ohlc(
data: np.ndarray,
start: int64,
bar_gap: float64 = 0.43,
) -> np.ndarray:
'''
Generate an array of lines objects from input ohlc data.
'''
size = int(data.shape[0] * 6)
x = np.zeros(
# data,
shape=size,
dtype=float64,
)
y, c = x.copy(), x.copy()
# TODO: report bug for assert @
# /home/goodboy/repos/piker/env/lib/python3.8/site-packages/numba/core/typing/builtins.py:991
for i, q in enumerate(data[start:], start):
# TODO: ask numba why this doesn't work..
# open, high, low, close, index = q[
# ['open', 'high', 'low', 'close', 'index']]
open = q['open']
high = q['high']
low = q['low']
close = q['close']
index = float64(q['index'])
istart = i * 6
istop = istart + 6
# x,y detail the 6 points which connect all vertexes of a ohlc bar
x[istart:istop] = (
index - bar_gap,
index,
index,
index,
index,
index + bar_gap,
)
y[istart:istop] = (
open,
open,
low,
high,
close,
close,
)
# specifies that the first edge is never connected to the
# prior bars last edge thus providing a small "gap"/"space"
# between bars determined by ``bar_gap``.
c[istart:istop] = (1, 1, 1, 1, 1, 0)
return x, y, c
def gen_qpath(
data: np.ndarray,
start: int = 0, # XXX: do we need this?
# 0.5 is no overlap between arms, 1.0 is full overlap
w: float = 0.43,
path: Optional[QtGui.QPainterPath] = None,
) -> QtGui.QPainterPath:
path_was_none = path is None
profiler = pg.debug.Profiler(
msg='gen_qpath ohlc',
disabled=not pg_profile_enabled(),
gt=ms_slower_then,
)
x, y, c = path_arrays_from_ohlc(
data,
start,
bar_gap=w,
)
profiler("generate stream with numba")
# TODO: numba the internals of this!
path = pg.functions.arrayToQPath(
x,
y,
connect=c,
path=path,
)
# avoid mem allocs if possible
if path_was_none:
path.reserve(path.capacity())
profiler("generate path with arrayToQPath")
return path
class BarItems(pg.GraphicsObject):
'''
"Price range" bars graphics rendered from a OHLC sampled sequence.
'''
sigPlotChanged = QtCore.pyqtSignal(object)
# 0.5 is no overlap between arms, 1.0 is full overlap
w: float = 0.43
def __init__(
self,
linked: LinkedSplits,
@ -105,13 +226,425 @@ class BarItems(pg.GraphicsObject):
self.last_bar_pen = pg.mkPen(hcolor(last_bar_color), width=2)
self._name = name
self._ds_line_xy: Optional[
tuple[np.ndarray, np.ndarray]
] = None
# NOTE: this prevents redraws on mouse interaction which is
# a huge boon for avg interaction latency.
# TODO: one question still remaining is if this makes trasform
# interactions slower (such as zooming) and if so maybe if/when
# we implement a "history" mode for the view we disable this in
# that mode?
self.setCacheMode(QtWidgets.QGraphicsItem.DeviceCoordinateCache)
self.path = QPainterPath()
self._pi = plotitem
self.path = QtGui.QPainterPath()
self.fast_path = QtGui.QPainterPath()
self._xrange: tuple[int, int]
# self._yrange: tuple[float, float]
self._vrange = None
# TODO: don't render the full backing array each time
# self._path_data = None
self._last_bar_lines: Optional[tuple[QLineF, ...]] = None
# track the current length of drawable lines within the larger array
self.start_index: int = 0
self.stop_index: int = 0
# downsampler-line state
self._in_ds: bool = False
self._ds_line: Optional[FastAppendCurve] = None
self._dsi: tuple[int, int] = 0, 0
self._xs_in_px: float = 0
def draw_from_data(
self,
ohlc: np.ndarray,
start: int = 0,
) -> QtGui.QPainterPath:
'''
Draw OHLC datum graphics from a ``np.ndarray``.
This routine is usually only called to draw the initial history.
'''
hist, last = ohlc[:-1], ohlc[-1]
self.path = gen_qpath(hist, start, self.w)
# save graphics for later reference and keep track
# of current internal "last index"
# self.start_index = len(ohlc)
index = ohlc['index']
self._xrange = (index[0], index[-1])
# self._yrange = (
# np.nanmax(ohlc['high']),
# np.nanmin(ohlc['low']),
# )
# up to last to avoid double draw of last bar
self._last_bar_lines = bar_from_ohlc_row(last, self.w)
x, y = self._ds_line_xy = ohlc_flatten(ohlc)
# TODO: figuring out the most optimial size for the ideal
# curve-path by,
# - calcing the display's max px width `.screen()`
# - drawing a curve and figuring out it's capacity:
# https://doc.qt.io/qt-5/qpainterpath.html#capacity
# - reserving that cap for each curve-mapped-to-shm with
# - leveraging clearing when needed to redraw the entire
# curve that does not release mem allocs:
# https://doc.qt.io/qt-5/qpainterpath.html#clear
curve = FastAppendCurve(
y=y,
x=x,
name='OHLC',
color=self._color,
)
curve.hide()
self._pi.addItem(curve)
self._ds_line = curve
# self._ds_xrange = (index[0], index[-1])
# trigger render
# https://doc.qt.io/qt-5/qgraphicsitem.html#update
self.update()
return self.path
def x_uppx(self) -> int:
# we expect the downsample curve report this.
return 0
if self._ds_line:
return self._ds_line.x_uppx()
else:
return 0
# def update_from_array(
# self,
# # full array input history
# ohlc: np.ndarray,
# # pre-sliced array data that's "in view"
# ohlc_iv: np.ndarray,
# view_range: Optional[tuple[int, int]] = None,
# profiler: Optional[pg.debug.Profiler] = None,
# ) -> None:
# '''
# Update the last datum's bar graphic from input data array.
# This routine should be interface compatible with
# ``pg.PlotCurveItem.setData()``. Normally this method in
# ``pyqtgraph`` seems to update all the data passed to the
# graphics object, and then update/rerender, but here we're
# assuming the prior graphics havent changed (OHLC history rarely
# does) so this "should" be simpler and faster.
# This routine should be made (transitively) as fast as possible.
# '''
# profiler = profiler or pg.debug.Profiler(
# disabled=not pg_profile_enabled(),
# gt=ms_slower_then,
# delayed=True,
# )
# # index = self.start_index
# istart, istop = self._xrange
# # ds_istart, ds_istop = self._ds_xrange
# index = ohlc['index']
# first_index, last_index = index[0], index[-1]
# # length = len(ohlc)
# # prepend_length = istart - first_index
# # append_length = last_index - istop
# # ds_prepend_length = ds_istart - first_index
# # ds_append_length = last_index - ds_istop
# flip_cache = False
# x_gt = 16
# if self._ds_line:
# uppx = self._ds_line.x_uppx()
# else:
# uppx = 0
# should_line = self._in_ds
# if (
# self._in_ds
# and uppx < x_gt
# ):
# should_line = False
# elif (
# not self._in_ds
# and uppx >= x_gt
# ):
# should_line = True
# profiler('ds logic complete')
# if should_line:
# # update the line graphic
# # x, y = self._ds_line_xy = ohlc_flatten(ohlc_iv)
# x, y = self._ds_line_xy = ohlc_flatten(ohlc)
# x_iv, y_iv = self._ds_line_xy = ohlc_flatten(ohlc_iv)
# profiler('flattening bars to line')
# # TODO: we should be diffing the amount of new data which
# # needs to be downsampled. Ideally we actually are just
# # doing all the ds-ing in sibling actors so that the data
# # can just be read and rendered to graphics on events of our
# # choice.
# # diff = do_diff(ohlc, new_bit)
# curve = self._ds_line
# curve.update_from_array(
# x=x,
# y=y,
# x_iv=x_iv,
# y_iv=y_iv,
# view_range=None, # hack
# profiler=profiler,
# )
# profiler('updated ds line')
# if not self._in_ds:
# # hide bars and show line
# self.hide()
# # XXX: is this actually any faster?
# # self._pi.removeItem(self)
# # TODO: a `.ui()` log level?
# log.info(
# f'downsampling to line graphic {self._name}'
# )
# # self._pi.addItem(curve)
# curve.show()
# curve.update()
# self._in_ds = True
# # stop here since we don't need to update bars path any more
# # as we delegate to the downsample line with updates.
# else:
# # we should be in bars mode
# if self._in_ds:
# # flip back to bars graphics and hide the downsample line.
# log.info(f'showing bars graphic {self._name}')
# curve = self._ds_line
# curve.hide()
# # self._pi.removeItem(curve)
# # XXX: is this actually any faster?
# # self._pi.addItem(self)
# self.show()
# self._in_ds = False
# # generate in_view path
# self.path = gen_qpath(
# ohlc_iv,
# 0,
# self.w,
# # path=self.path,
# )
# # TODO: to make the downsampling faster
# # - allow mapping only a range of lines thus only drawing as
# # many bars as exactly specified.
# # - move ohlc "flattening" to a shmarr
# # - maybe move all this embedded logic to a higher
# # level type?
# # if prepend_length:
# # # new history was added and we need to render a new path
# # prepend_bars = ohlc[:prepend_length]
# # if ds_prepend_length:
# # ds_prepend_bars = ohlc[:ds_prepend_length]
# # pre_x, pre_y = ohlc_flatten(ds_prepend_bars)
# # fx = np.concatenate((pre_x, fx))
# # fy = np.concatenate((pre_y, fy))
# # profiler('ds line prepend diff complete')
# # if append_length:
# # # generate new graphics to match provided array
# # # path appending logic:
# # # we need to get the previous "current bar(s)" for the time step
# # # and convert it to a sub-path to append to the historical set
# # # new_bars = ohlc[istop - 1:istop + append_length - 1]
# # append_bars = ohlc[-append_length - 1:-1]
# # # print(f'ohlc bars to append size: {append_bars.size}\n')
# # if ds_append_length:
# # ds_append_bars = ohlc[-ds_append_length - 1:-1]
# # post_x, post_y = ohlc_flatten(ds_append_bars)
# # print(
# # f'ds curve to append sizes: {(post_x.size, post_y.size)}'
# # )
# # fx = np.concatenate((fx, post_x))
# # fy = np.concatenate((fy, post_y))
# # profiler('ds line append diff complete')
# profiler('array diffs complete')
# # does this work?
# last = ohlc[-1]
# # fy[-1] = last['close']
# # # incremental update and cache line datums
# # self._ds_line_xy = fx, fy
# # maybe downsample to line
# # ds = self.maybe_downsample()
# # if ds:
# # # if we downsample to a line don't bother with
# # # any more path generation / updates
# # self._ds_xrange = first_index, last_index
# # profiler('downsampled to line')
# # return
# # print(in_view.size)
# # if self.path:
# # self.path = path
# # self.path.reserve(path.capacity())
# # self.path.swap(path)
# # path updates
# # if prepend_length:
# # # XXX: SOMETHING IS MAYBE FISHY HERE what with the old_path
# # # y value not matching the first value from
# # # ohlc[prepend_length + 1] ???
# # prepend_path = gen_qpath(prepend_bars, 0, self.w)
# # old_path = self.path
# # self.path = prepend_path
# # self.path.addPath(old_path)
# # profiler('path PREPEND')
# # if append_length:
# # append_path = gen_qpath(append_bars, 0, self.w)
# # self.path.moveTo(
# # float(istop - self.w),
# # float(append_bars[0]['open'])
# # )
# # self.path.addPath(append_path)
# # profiler('path APPEND')
# # fp = self.fast_path
# # if fp is None:
# # self.fast_path = append_path
# # else:
# # fp.moveTo(
# # float(istop - self.w), float(new_bars[0]['open'])
# # )
# # fp.addPath(append_path)
# # self.setCacheMode(QtWidgets.QGraphicsItem.NoCache)
# # flip_cache = True
# self._xrange = first_index, last_index
# # trigger redraw despite caching
# self.prepareGeometryChange()
# self.draw_last(last)
# # # generate new lines objects for updatable "current bar"
# # self._last_bar_lines = bar_from_ohlc_row(last, self.w)
# # # last bar update
# # i, o, h, l, last, v = last[
# # ['index', 'open', 'high', 'low', 'close', 'volume']
# # ]
# # # assert i == self.start_index - 1
# # # assert i == last_index
# # body, larm, rarm = self._last_bar_lines
# # # XXX: is there a faster way to modify this?
# # rarm.setLine(rarm.x1(), last, rarm.x2(), last)
# # # writer is responsible for changing open on "first" volume of bar
# # larm.setLine(larm.x1(), o, larm.x2(), o)
# # if l != h: # noqa
# # if body is None:
# # body = self._last_bar_lines[0] = QLineF(i, l, i, h)
# # else:
# # # update body
# # body.setLine(i, l, i, h)
# # # XXX: pretty sure this is causing an issue where the bar has
# # # a large upward move right before the next sample and the body
# # # is getting set to None since the next bar is flat but the shm
# # # array index update wasn't read by the time this code runs. Iow
# # # we're doing this removal of the body for a bar index that is
# # # now out of date / from some previous sample. It's weird
# # # though because i've seen it do this to bars i - 3 back?
# profiler('last bar set')
# self.update()
# profiler('.update()')
# if flip_cache:
# self.setCacheMode(QtWidgets.QGraphicsItem.DeviceCoordinateCache)
# # profiler.finish()
def draw_last(
self,
last: np.ndarray,
) -> None:
# generate new lines objects for updatable "current bar"
self._last_bar_lines = bar_from_ohlc_row(last, self.w)
# last bar update
i, o, h, l, last, v = last[
['index', 'open', 'high', 'low', 'close', 'volume']
]
# assert i == self.start_index - 1
# assert i == last_index
body, larm, rarm = self._last_bar_lines
# XXX: is there a faster way to modify this?
rarm.setLine(rarm.x1(), last, rarm.x2(), last)
# writer is responsible for changing open on "first" volume of bar
larm.setLine(larm.x1(), o, larm.x2(), o)
if l != h: # noqa
if body is None:
body = self._last_bar_lines[0] = QLineF(i, l, i, h)
else:
# update body
body.setLine(i, l, i, h)
# XXX: pretty sure this is causing an issue where the bar has
# a large upward move right before the next sample and the body
# is getting set to None since the next bar is flat but the shm
# array index update wasn't read by the time this code runs. Iow
# we're doing this removal of the body for a bar index that is
# now out of date / from some previous sample. It's weird
# though because i've seen it do this to bars i - 3 back?
def boundingRect(self):
# Qt docs: https://doc.qt.io/qt-5/qgraphicsitem.html#boundingRect
@ -135,6 +668,16 @@ class BarItems(pg.GraphicsObject):
hb.bottomRight(),
)
# fp = self.fast_path
# if fp:
# fhb = fp.controlPointRect()
# print((hb_tl, hb_br))
# print(fhb)
# hb_tl, hb_br = (
# fhb.topLeft() + hb.topLeft(),
# fhb.bottomRight() + hb.bottomRight(),
# )
# need to include last bar height or BR will be off
mx_y = hb_br.y()
mn_y = hb_tl.y()
@ -170,9 +713,12 @@ class BarItems(pg.GraphicsObject):
) -> None:
if self._in_ds:
return
profiler = pg.debug.Profiler(
disabled=not pg_profile_enabled(),
ms_threshold=ms_slower_then,
gt=ms_slower_then,
)
# p.setCompositionMode(0)
@ -184,67 +730,13 @@ class BarItems(pg.GraphicsObject):
# lead to any perf gains other then when zoomed in to less bars
# in view.
p.setPen(self.last_bar_pen)
if self._last_bar_lines:
p.drawLines(*tuple(filter(bool, self._last_bar_lines)))
profiler('draw last bar')
p.drawLines(*tuple(filter(bool, self._last_bar_lines)))
profiler('draw last bar')
p.setPen(self.bars_pen)
p.drawPath(self.path)
profiler(f'draw history path: {self.path.capacity()}')
def draw_last_datum(
self,
path: QPainterPath,
src_data: np.ndarray,
render_data: np.ndarray,
reset: bool,
array_key: str,
fields: list[str] = [
'index',
'open',
'high',
'low',
'close',
],
) -> None:
# relevant fields
ohlc = src_data[fields]
last_row = ohlc[-1:]
# individual values
last_row = i, o, h, l, last = ohlc[-1]
# generate new lines objects for updatable "current bar"
self._last_bar_lines = bar_from_ohlc_row(last_row)
# assert i == graphics.start_index - 1
# assert i == last_index
body, larm, rarm = self._last_bar_lines
# XXX: is there a faster way to modify this?
rarm.setLine(rarm.x1(), last, rarm.x2(), last)
# writer is responsible for changing open on "first" volume of bar
larm.setLine(larm.x1(), o, larm.x2(), o)
if l != h: # noqa
if body is None:
body = self._last_bar_lines[0] = QLineF(i, l, i, h)
else:
# update body
body.setLine(i, l, i, h)
# XXX: pretty sure this is causing an issue where the
# bar has a large upward move right before the next
# sample and the body is getting set to None since the
# next bar is flat but the shm array index update wasn't
# read by the time this code runs. Iow we're doing this
# removal of the body for a bar index that is now out of
# date / from some previous sample. It's weird though
# because i've seen it do this to bars i - 3 back?
return ohlc['index'], ohlc['close']
# if self.fast_path:
# p.drawPath(self.fast_path)
# profiler('draw fast path')

View File

@ -1,236 +0,0 @@
# piker: trading gear for hackers
# Copyright (C) 2018-present Tyler Goodlet (in stewardship of piker0)
# 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/>.
"""
Super fast ``QPainterPath`` generation related operator routines.
"""
from __future__ import annotations
from typing import (
# Optional,
TYPE_CHECKING,
)
import numpy as np
from numpy.lib import recfunctions as rfn
from numba import njit, float64, int64 # , optional
# import pyqtgraph as pg
from PyQt5 import QtGui
# from PyQt5.QtCore import QLineF, QPointF
from ..data._sharedmem import (
ShmArray,
)
# from .._profile import pg_profile_enabled, ms_slower_then
from ._compression import (
ds_m4,
)
if TYPE_CHECKING:
from ._flows import Renderer
def xy_downsample(
x,
y,
uppx,
x_spacer: float = 0.5,
) -> tuple[np.ndarray, np.ndarray]:
# downsample whenever more then 1 pixels per datum can be shown.
# always refresh data bounds until we get diffing
# working properly, see above..
bins, x, y = ds_m4(
x,
y,
uppx,
)
# flatten output to 1d arrays suitable for path-graphics generation.
x = np.broadcast_to(x[:, None], y.shape)
x = (x + np.array(
[-x_spacer, 0, 0, x_spacer]
)).flatten()
y = y.flatten()
return x, y
@njit(
# TODO: for now need to construct this manually for readonly arrays, see
# https://github.com/numba/numba/issues/4511
# ntypes.tuple((float64[:], float64[:], float64[:]))(
# numba_ohlc_dtype[::1], # contiguous
# int64,
# optional(float64),
# ),
nogil=True
)
def path_arrays_from_ohlc(
data: np.ndarray,
start: int64,
bar_gap: float64 = 0.43,
) -> np.ndarray:
'''
Generate an array of lines objects from input ohlc data.
'''
size = int(data.shape[0] * 6)
x = np.zeros(
# data,
shape=size,
dtype=float64,
)
y, c = x.copy(), x.copy()
# TODO: report bug for assert @
# /home/goodboy/repos/piker/env/lib/python3.8/site-packages/numba/core/typing/builtins.py:991
for i, q in enumerate(data[start:], start):
# TODO: ask numba why this doesn't work..
# open, high, low, close, index = q[
# ['open', 'high', 'low', 'close', 'index']]
open = q['open']
high = q['high']
low = q['low']
close = q['close']
index = float64(q['index'])
istart = i * 6
istop = istart + 6
# x,y detail the 6 points which connect all vertexes of a ohlc bar
x[istart:istop] = (
index - bar_gap,
index,
index,
index,
index,
index + bar_gap,
)
y[istart:istop] = (
open,
open,
low,
high,
close,
close,
)
# specifies that the first edge is never connected to the
# prior bars last edge thus providing a small "gap"/"space"
# between bars determined by ``bar_gap``.
c[istart:istop] = (1, 1, 1, 1, 1, 0)
return x, y, c
def gen_ohlc_qpath(
r: Renderer,
data: np.ndarray,
array_key: str, # we ignore this
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 = 0.43,
) -> QtGui.QPainterPath:
'''
More or less direct proxy to ``path_arrays_from_ohlc()``
but with closed in kwargs for line spacing.
'''
x, y, c = path_arrays_from_ohlc(
data,
start,
bar_gap=w,
)
return x, y, c
def ohlc_to_line(
ohlc_shm: ShmArray,
data_field: str,
fields: list[str] = ['open', 'high', 'low', 'close']
) -> tuple[
np.ndarray,
np.ndarray,
]:
'''
Convert an input struct-array holding OHLC samples into a pair of
flattened x, y arrays with the same size (datums wise) as the source
data.
'''
y_out = ohlc_shm.ustruct(fields)
first = ohlc_shm._first.value
last = ohlc_shm._last.value
# write pushed data to flattened copy
y_out[first:last] = rfn.structured_to_unstructured(
ohlc_shm.array[fields]
)
# generate an flat-interpolated x-domain
x_out = (
np.broadcast_to(
ohlc_shm._array['index'][:, None],
(
ohlc_shm._array.size,
# 4, # only ohlc
y_out.shape[1],
),
) + np.array([-0.5, 0, 0, 0.5])
)
assert y_out.any()
return (
x_out,
y_out,
)
def to_step_format(
shm: ShmArray,
data_field: str,
index_field: str = 'index',
) -> tuple[int, np.ndarray, np.ndarray]:
'''
Convert an input 1d shm array to a "step array" format
for use by path graphics generation.
'''
i = shm._array['index'].copy()
out = shm._array[data_field].copy()
x_out = np.broadcast_to(
i[:, None],
(i.size, 2),
) + np.array([-0.5, 0.5])
y_out = np.empty((len(out), 2), dtype=out.dtype)
y_out[:] = out[:, np.newaxis]
# start y at origin level
y_out[0, 0] = 0
return x_out, y_out

View File

@ -287,6 +287,7 @@ class MainWindow(QtGui.QMainWindow):
app = QtGui.QApplication.instance()
geo = self.current_screen().geometry()
h, w = geo.height(), geo.width()
self.setMaximumSize(w, h)
# use approx 1/3 of the area of the screen by default
self._size = round(w * .666), round(h * .666)

View File

@ -30,7 +30,6 @@ import uuid
from pydantic import BaseModel
import tractor
import trio
from PyQt5.QtCore import Qt
from .. import config
from ..clearing._client import open_ems, OrderBook
@ -38,7 +37,6 @@ from ..clearing._allocate import (
mk_allocator,
Position,
)
from ._style import _font
from ..data._source import Symbol
from ..data.feed import Feed
from ..log import get_logger
@ -48,8 +46,7 @@ from ._position import (
PositionTracker,
SettingsPane,
)
from ._forms import FieldsForm
# from ._label import FormatLabel
from ._label import FormatLabel
from ._window import MultiStatus
from ..clearing._messages import Order, BrokerdPosition
from ._forms import open_form_input_handling
@ -642,21 +639,63 @@ async def open_order_mode(
pp_tracker.hide_info()
# setup order mode sidepane widgets
form: FieldsForm = chart.sidepane
form.vbox.setSpacing(
form = chart.sidepane
vbox = form.vbox
from textwrap import dedent
from PyQt5.QtCore import Qt
from ._style import _font, _font_small
from ..calc import humanize
feed_label = FormatLabel(
fmt_str=dedent("""
actor: **{actor_name}**\n
|_ @**{host}:{port}**\n
|_ throttle_hz: **{throttle_rate}**\n
|_ streams: **{symbols}**\n
|_ shm: **{shm}**\n
"""),
font=_font.font,
font_size=_font_small.px_size,
font_color='default_lightest',
)
form.feed_label = feed_label
# add feed info label to top
vbox.insertWidget(
0,
feed_label,
alignment=Qt.AlignBottom,
)
# vbox.setAlignment(feed_label, Qt.AlignBottom)
# vbox.setAlignment(Qt.AlignBottom)
_ = chart.height() - (
form.height() +
form.fill_bar.height()
# feed_label.height()
)
vbox.setSpacing(
int((1 + 5/8)*_font.px_size)
)
from ._feedstatus import mk_feed_label
feed_label = mk_feed_label(
form,
feed,
chart,
# fill in brokerd feed info
host, port = feed.portal.channel.raddr
if host == '127.0.0.1':
host = 'localhost'
mpshm = feed.shm._shm
shmstr = f'{humanize(mpshm.size)}'
form.feed_label.format(
actor_name=feed.portal.channel.uid[0],
host=host,
port=port,
symbols=len(feed.symbols),
shm=shmstr,
throttle_rate=feed.throttle_rate,
)
# XXX: we set this because?
form.feed_label = feed_label
order_pane = SettingsPane(
form=form,
# XXX: ugh, so hideous...
@ -667,11 +706,6 @@ async def open_order_mode(
)
order_pane.set_accounts(list(trackers.keys()))
form.vbox.addWidget(
feed_label,
alignment=Qt.AlignBottom,
)
# update pp icons
for name, tracker in trackers.items():
order_pane.update_account_icons({name: tracker.live_pp})
@ -873,9 +907,7 @@ async def process_trades_and_update_ui(
mode.lines.remove_line(uuid=oid)
# each clearing tick is responded individually
elif resp in (
'broker_filled',
):
elif resp in ('broker_filled',):
known_order = book._sent_orders.get(oid)
if not known_order:

View File

@ -7,15 +7,3 @@
# pin this to a dev branch that we have more control over especially
# as more graphics stuff gets hashed out.
-e git+https://github.com/pikers/pyqtgraph.git@piker_pin#egg=pyqtgraph
# our async client for ``marketstore`` (the tsdb)
-e git+https://github.com/pikers/anyio-marketstore.git@master#egg=anyio-marketstore
# ``trimeter`` for asysnc history fetching
-e git+https://github.com/python-trio/trimeter.git@master#egg=trimeter
# ``asyncvnc`` for sending interactions to ib-gw inside docker
-e git+https://github.com/pikers/asyncvnc.git@vid_passthrough#egg=asyncvnc

View File

@ -51,14 +51,10 @@ setup(
# async
'trio',
'trio-websocket',
# 'tractor', # from github currently
'msgspec', # performant IPC messaging
'async_generator',
# from github currently (see requirements.txt)
# 'trimeter', # not released yet..
# 'tractor',
# asyncvnc,
# brokers
'asks==2.4.8',
'ib_insync',
@ -69,37 +65,28 @@ setup(
'cython',
'numpy',
'numba',
'pandas',
# UI
'PyQt5',
# 'pyqtgraph', from our fork see reqs.txt
'qdarkstyle >= 3.0.2', # themeing
'fuzzywuzzy[speedup]', # fuzzy search
'pyqtgraph',
'qdarkstyle >= 3.0.2',
# fuzzy search
'fuzzywuzzy[speedup]',
# tsdbs
# anyio-marketstore # from gh see reqs.txt
'pymarketstore',
],
extras_require={
'tsdb': [
'docker',
],
},
tests_require=['pytest'],
python_requires=">=3.10",
keywords=[
"async",
"trading",
"finance",
"quant",
"charting",
],
python_requires=">=3.9", # literally for ``datetime.datetime.fromisoformat``...
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 :: 3.9",
"Programming Language :: Python :: 3.10",
'Intended Audience :: Financial and Insurance Industry',
'Intended Audience :: Science/Research',