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Author SHA1 Message Date
Tyler Goodlet ac0f43dc98 Go Python 3.10+ in anticipation of upcoming feature PRs 2022-06-28 10:02:09 -04:00
goodboy 3977f1cc7e
Merge pull request #341 from pikers/contain_mkts
Contain mkts
2022-06-26 13:49:23 -04:00
Tyler Goodlet e45cb9d08a Always cancel container on teardown 2022-06-26 13:36:29 -04:00
Tyler Goodlet 27c523ca74 Speedup: only load a "views worth" of datums on first query 2022-06-23 15:21:09 -04:00
Tyler Goodlet b8b76a32a6 Harden container cancel-and-wait supervisor loop
This should hopefully make teardown more reliable and includes better
logic to fail over to a hard kill path after a 3 second timeout waiting
for the instance to complete using the `docker-py` wait API. Also
generalize the supervisor teardown loop by allowing the container config
endpoint to return 2 msgs to expect:
- a startup message that can be read from the container's internal
  process logging that indicates it is fully up and ready.
- a teardown msg that can be polled for that indicates the container has
  gracefully terminated after a cancellation request which is passed to
  our container wrappers `.cancel()` method.

Make the marketstore config endpoint return the 2 messages we previously
had hard coded and use this new api.
2022-06-23 10:23:14 -04:00
Tyler Goodlet dcee0ddd55 Move/expect all marketstore configs under a `<configdir>/piker/marketstore` subdir 2022-06-23 09:48:32 -04:00
goodboy 67eab85f06
Merge pull request #340 from pikers/slic_fix_v2
Slice fix v2
2022-06-22 19:55:39 -04:00
Tyler Goodlet afc95b8592 Facepalm, get the first x value not the array.. 2022-06-22 19:43:33 -04:00
Tyler Goodlet 14c98d82ee Only warn once when realtime quotes time out 2022-06-22 19:43:23 -04:00
goodboy b87aa30031
Merge pull request #339 from pikers/uppx_slice_fix
Uppx slice fix
2022-06-16 16:20:00 -04:00
Tyler Goodlet 958f53d8e9 Lower re-syncing log msgs to debug level 2022-06-16 15:50:21 -04:00
Tyler Goodlet ba43b54175 Handle edge case for extreme zoom out 2022-06-16 15:50:05 -04:00
Tyler Goodlet de970755d7 Flip back to original daemon port 2022-06-16 15:50:05 -04:00
goodboy 7ddebf6773
Merge pull request #338 from pikers/update_last_datums_in_view
Fix: update last datums in view by `uppx` indexing
2022-06-10 09:38:26 -04:00
Tyler Goodlet 8eb4a427da Revert uppx flooring, causes shift issues 2022-06-10 07:03:21 -04:00
Tyler Goodlet da5dea9f99 Drop cache reset from `Curve.draw_last_datum()` 2022-06-10 07:03:05 -04:00
Tyler Goodlet 3074773662 Fix 'last datum line is uppx's worth of data' rendering
This was introduced in #302 but after thorough testing was clear to be
not working XD. Adjust the display loop to update the last graphics
segment on both the OHLC and vlm charts (as well as all deriving fsp
flows) whenever the uppx >= 1 and there is no current path append
taking place (since more datums are needed to span an x-pixel in view).

Summary of tweaks:
- move vlm chart update code to be at the end of the cycle routine and
  have that block include the tests for a "interpolated last datum in
  view" line.
- make `do_append: bool` compare with a floor of the uppx value (i.e.
  appends should happen when we're just fractionally over a pixel of
  x units).
- never update the "volume" chart.
2022-06-09 17:57:34 -04:00
Tyler Goodlet 4099b53ea2 Add `Flow.ds_graphics': a downsample curve ref
Allows for optionally updating a "downsampled" graphics type which is
currently necessary in the `BarItems` -> `FlattenedOHLC` curve switching
case; we don't want to be needlessly redrawing the `Flow.graphics`
object (which will be an OHLC curve) when in flattened curve mode.
Further add a `only_last_uppx: bool` flag to `.draw_last()` to allow
forcing a "last uppx's worth of data max/min" style interpolating line
as needed.
2022-06-09 17:57:34 -04:00
goodboy 633fa7cc3a
Merge pull request #335 from pikers/ib_subpkg
`pikers.broker.ib` subpackage
2022-06-07 11:41:11 -04:00
Tyler Goodlet 1345b250bc Import missing `_accounts2clients` table 2022-06-07 09:48:51 -04:00
goodboy e9f0ea3daa
Merge pull request #327 from pikers/flexxin
Flexxin: `ib` trade reports parsing basics
2022-06-07 09:42:54 -04:00
Tyler Goodlet 569674517f Hack client check for `ib` using flag 2022-06-06 19:33:12 -04:00
Tyler Goodlet bf7397f031 Rename `.client` -> `.api` 2022-06-06 19:33:12 -04:00
Tyler Goodlet 85c2f6e79f Factor trades endpoint into `.ib.broker.py` 2022-06-06 19:33:12 -04:00
Tyler Goodlet 1c1661b783 Factor all data feed endpoints into `.ib.feed.py` 2022-06-06 19:33:12 -04:00
Tyler Goodlet 99eabe34c9 Convert `ib` backend into sub-package
The single-file module was getting way out of hand size-wise with the
new flex report parsing stuff so this starts the process of breaking
things up into smaller modules oriented around trade, data, and ledger
related endpoints.

Add support for backends to declare sub-modules to enable in
a `__enable_modules__: list[str]` module var which is parsed by the
daemon spawning code passed to `tractor`'s `enable_modules: list[str]`
input.
2022-06-06 19:33:12 -04:00
Tyler Goodlet 827b5f9c45 Add event type into msg dict 2022-06-06 19:26:14 -04:00
Tyler Goodlet 41f24f3de6 Add example flex variables to brokers template 2022-06-06 19:26:14 -04:00
Tyler Goodlet 34975dfbd5 First-draft flex report loader/parsing and write to `trades.toml` conf file 2022-06-06 19:26:14 -04:00
goodboy f6b54f02c0
Merge pull request #302 from pikers/incremental_update_paths
Incremental update paths
2022-06-06 10:39:58 -04:00
Tyler Goodlet 44c242a794 Fill in label with pairs from `status` value of backend init msg 2022-06-05 22:14:32 -04:00
Tyler Goodlet 99965e7601 Only draw mx/mn line for last uppx's worth of datums
When using m4, we downsample to the max and min of each
pixel-column's-worth of data thus preserving range / dispersion details
whilst not drawing more graphics then can be displayed by the available
amount of horizontal pixels.

Take and apply this exact same concept to the "last datum" graphics
elements for any `Flow` that is reported as being in a downsampled
state:

- take the xy output from the `Curve.draw_last_datum()`,
- slice out all data that fits in the last pixel's worth of x-range
  by using the uppx,
- compute the highest and lowest value from that data,
- draw a singe line segment which spans this yrange thus creating
  a simple vertical set of pixels which are "filled in" and show the
  entire y-range for the most recent data "contained with that pixel".
2022-06-05 22:13:36 -04:00
Tyler Goodlet e5f96391e3 Return xy data from `Curve.draw_last_datum()` methods 2022-06-05 22:13:36 -04:00
Tyler Goodlet a66934a49d Add `Curve` sub-types with new custom graphics API
Instead of using a bunch of internal logic to modify low level paint-able
elements create a `Curve` lineage that allows for graphics "style"
customization via a small set of public methods:
- `Curve.declare_paintables()` to allow setup of state/elements to be
  drawn in later methods.
- `.sub_paint()` to allow painting additional elements along with the
  defaults.
- `.sub_br()` to customize the `.boundingRect()` dimensions.
- `.draw_last_datum()` which is expected to produce the paintable
  elements which will show the last datum in view.

Introduce the new sub-types and load as necessary in
`ChartPlotWidget.draw_curve()`:
- `FlattenedOHLC`
- `StepCurve`

Reimplement all `.draw_last()` routines as a `Curve` method
and call it the same way from `Flow.update_graphics()`
2022-06-05 22:13:36 -04:00
Tyler Goodlet 55772efb34 Bleh, try avoiding the too many files bug-thing.. 2022-06-05 22:13:36 -04:00
Tyler Goodlet 736178adfd Rename `FastAppendCurve` -> `Curve` 2022-06-05 22:13:36 -04:00
Tyler Goodlet d770867163 Drop width arg to bar lines factory 2022-06-05 22:13:36 -04:00
Tyler Goodlet c518553aa9 Add new curve doc string 2022-06-05 22:13:36 -04:00
Tyler Goodlet 4138cef512 Drop old state from `BarsItems` 2022-06-05 22:13:36 -04:00
Tyler Goodlet 0f4bfcdf22 Drop global pg settings 2022-06-05 22:13:36 -04:00
Tyler Goodlet 80835d4e04 More detailed rt feed drop logging 2022-06-05 22:13:36 -04:00
Tyler Goodlet e6d03ba97f Add missing f-str prefix 2022-06-05 22:13:36 -04:00
Tyler Goodlet b71e8c5e6d Guard against empty source history slice output 2022-06-05 22:13:36 -04:00
Tyler Goodlet 064d185395 Drop pointless geo call from `.pain()` 2022-06-05 22:13:36 -04:00
Tyler Goodlet 363ba8f9ae Only drop throttle feeds if channel disconnects? 2022-06-05 22:13:36 -04:00
Tyler Goodlet fc24f5efd1 Iterate 1s and 1m from tsdb series 2022-06-05 22:13:36 -04:00
Tyler Goodlet a7ff47158b Pass tsdb flag when db is up XD 2022-06-05 22:13:36 -04:00
Tyler Goodlet 57acc3bd29 Factor all per graphic `.draw_last()` methods into closures 2022-06-05 22:13:36 -04:00
Tyler Goodlet 8f1faf97ee Add todo for bars range reuse in interaction handler 2022-06-05 22:13:36 -04:00
Tyler Goodlet 3ab91deaec Drop all (old) unused state instance vars 2022-06-05 22:13:36 -04:00
Tyler Goodlet 6f00617bd3 Only do new "datum append" when visible in pixels
The basic logic is now this:
- when zooming out, uppx (units per pixel in x) can be >= 1
- if the uppx is `n` then the next pixel in view becomes occupied by
  a new datum-x-coordinate-value when the diff between the last
  datum step (since the last such update) is greater then the
  current uppx -> `datums_diff >= n`
- if we're less then some constant uppx we just always update (because
  it's not costly enough and we're not downsampling.

More or less this just avoids unnecessary real-time updates to flow
graphics until they would actually be noticeable via the next pixel
column on screen.
2022-06-05 22:13:36 -04:00
Tyler Goodlet 2c2c453932 Reset line graphics on downsample step..
This was a bit of a nightmare to figure out but, it seems that the
coordinate caching system will really be a dick (like the nickname for
richard for you serious types) about leaving stale graphics if we don't
reset the cache on downsample full-redraw updates...Sooo, instead we do
this manual reset to avoid such artifacts and consequently (for now)
return a `reset: bool` flag in the return tuple from `Renderer.render()`
to indicate as such.

Some further shite:
- move the step mode `.draw_last()` equivalent graphics updates down
  with the rest..
- drop some superfluous `should_redraw` logic from
  `Renderer.render()` and compound it in the full path redraw block.
2022-06-05 22:13:36 -04:00
Tyler Goodlet 360643b32f Fix optional input `bars_range` type to match `Flow.datums_range()` 2022-06-05 22:13:36 -04:00
Tyler Goodlet ab0def22c1 Change flag name to `autoscale_overlays` 2022-06-05 22:13:36 -04:00
Tyler Goodlet a9ec1a97dd Vlm "rate" fsps, change maxmin callback name to include `multi_` 2022-06-05 22:13:36 -04:00
Tyler Goodlet d61b636487 Auto-yrange overlays in interaction (downsampler) handler 2022-06-05 22:13:36 -04:00
Tyler Goodlet 88ac2fda52 Aggretate cache resetting into a single ctx mngr method 2022-06-05 22:13:36 -04:00
Tyler Goodlet 08c83afa90 Rejig config helpers for arbitrary named files 2022-06-05 22:13:36 -04:00
Tyler Goodlet 066b8df619 Implement OHLC downsampled curve via renderer, drop old bypass code 2022-06-05 22:13:36 -04:00
Tyler Goodlet d4f31f2b3c Move update-state-vars defaults above step mode block 2022-06-05 22:13:36 -04:00
Tyler Goodlet 04897fd402 Implement pre-graphics format incremental update
Adds a new pre-graphics data-format callback incremental update api to
our `Renderer`. `Renderer` instance can now overload these custom routines:

- `.update_xy()` a routine which accepts the latest [pre/a]pended data
  sliced out from shm and returns it in a format suitable to store in
  the optional `.[x/y]_data` arrays.
- `.allocate_xy()` which initially does the work of pre-allocating the
   `.[x/y]_data` arrays based on the source shm sizing such that new
   data can be filled in (to memory).
- `._xy_[first/last]: int` attrs to track index diffs between src shm
  and the xy format data updates.

Implement the step curve data format with 3 super simple routines:
- `.allocate_xy()` -> `._pathops.to_step_format()`
- `.update_xy()` -> `._flows.update_step_xy()`
- `.format_xy()` -> `._flows.step_to_xy()`

Further, adjust `._pathops.gen_ohlc_qpath()` to adhere to the new
call signature.
2022-06-05 22:13:36 -04:00
Tyler Goodlet 42572d3808 Add back linked plots/views y-range autoscaling 2022-06-05 22:13:36 -04:00
Tyler Goodlet 8ce7e99210 Drop prints 2022-06-05 22:13:36 -04:00
Tyler Goodlet 1b38628b09 Handle teardown race, add comment about shm subdirs 2022-06-05 22:13:36 -04:00
Tyler Goodlet bbe1ff19ef Don't kill all containers on teardown XD 2022-06-05 22:13:36 -04:00
Tyler Goodlet eca2401ab5 Lul, well that heigh did not work.. 2022-06-05 22:13:36 -04:00
Tyler Goodlet 5d91516b41 Drop step mode "last datum" graphics creation from `.draw_last()`
We're doing this in `Flow.update_graphics()` atm and probably are going
to in general want custom graphics objects for all the diff curve / path
types. The new flows work seems to fix the bounding rect width calcs to
not require the ad-hoc extra `+ 1` in the step mode case; before it was
always a bit hacky anyway. This also tries to add a more correct
bounding rect adjustment for the `._last_line` segment.
2022-06-05 22:13:36 -04:00
Tyler Goodlet b985b48eb3 Add `._last_bar_lines` guard to `.paint()` 2022-06-05 22:13:36 -04:00
Tyler Goodlet c256d3bdc0 Type annot name in put to log routine 2022-06-05 22:13:36 -04:00
Tyler Goodlet f5de361f49 Import directly from `tractor.trionics` 2022-06-05 22:13:35 -04:00
Tyler Goodlet 432d4545c2 Fix last values, must be pulled from source data in step mode 2022-06-05 22:13:08 -04:00
Tyler Goodlet fa30df36ba Simplify default xy formatter 2022-06-05 22:13:08 -04:00
Tyler Goodlet 17456d96e0 Drop tons of old cruft, move around some commented ideas 2022-06-05 22:13:08 -04:00
Tyler Goodlet 167ae96566 Move graphics update logic into `Renderer.render()`
Finally this gets us much closer to a generic incremental update system
for graphics wherein the input array diffing, pre-graphical format data
processing, downsampler activation and incremental update and storage of
any of these data flow stages can be managed in one modular sub-system
:surfer_boi:.

Dirty deatz:
- reorg and move all path logic into `Renderer.render()` and have it
  take in pretty much the same flags as the old
  `FastAppendCurve.update_from_array()` and instead storing all update
  state vars (even copies of the downsampler related ones) on the
  renderer instance:
    - new state vars: `._last_uppx, ._in_ds, ._vr, ._avr`
    - `.render()` input bools: `new_sample_rate, should_redraw,
      should_ds, showing_src_data`
    - add a hack-around for passing in incremental update data (for now)
    via a `input_data: tuple` of numpy arrays
    - a default `uppx: float = 1`

- add new render interface attrs:
 - `.format_xy()` which takes in the source data array and produces out
   x, y arrays (and maybe a `connect` array) that can be passed to
   `.draw_path()` (the default for this is just to slice out the index
   and `array_key: str` columns from the input struct array),
 - `.draw_path()` which takes in the x, y, connect arrays and generates
   a `QPainterPath`
 - `.fast_path`, for "appendable" updates like there was on the fast
   append curve
 - move redraw (aka `.clear()` calls) into `.draw_path()` and trigger
   via `redraw: bool` flag.

- our graphics objects no longer set their own `.path` state, it's done
  by the `Flow.update_graphics()` method using output from
  `Renderer.render()` (and it's state if necessary)
2022-06-05 22:13:08 -04:00
Tyler Goodlet aa0efe1523 Drop `BarItems.draw_from_data()` 2022-06-05 22:13:08 -04:00
Tyler Goodlet 664a208ae5 Drop path generation from `gen_ohlc_qpath()` 2022-06-05 22:13:08 -04:00
Tyler Goodlet 876add4fc2 Drop `.update()` call from `.draw_last()` 2022-06-05 22:13:08 -04:00
Tyler Goodlet 72e849c651 Drop commented cruft from update logic 2022-06-05 22:13:08 -04:00
Tyler Goodlet b3ae562e4f Fully drop `.update_from_array()` 2022-06-05 22:13:08 -04:00
Tyler Goodlet b5b9ecf4b1 Treat paths like input/output vars 2022-06-05 22:13:08 -04:00
Tyler Goodlet 1dab77ca0b Rect wont show on step curves unless we avoid `.draw_last()` 2022-06-05 22:13:08 -04:00
Tyler Goodlet 4c7661fc23 Factor `.update_from_array()` into `Flow.update_graphics()`
A bit hacky to get all graphics types working but this is hopefully the
first step toward moving all the generic update logic into `Renderer`
types which can be themselves managed more compactly and cached per
uppx-m4 level.
2022-06-05 22:13:08 -04:00
Tyler Goodlet e258654c86 Just drop "line dot" updates for now.. 2022-06-05 22:13:08 -04:00
Tyler Goodlet 81be0b4bd0 Dont pass `px_width` to m4, add some commented path cap tracking 2022-06-05 22:13:08 -04:00
Tyler Goodlet df1c89e811 Drop all "pixel width" refs (`px_width`) from m4 impl 2022-06-05 22:13:08 -04:00
Tyler Goodlet f67fd11a29 Little formattito 2022-06-05 22:13:08 -04:00
Tyler Goodlet 1f95ba4fd8 Drop input xy from constructor, only keep state for cursor stuff.. 2022-06-05 22:13:08 -04:00
Tyler Goodlet 1dca7766d2 Add notes about how to do mkts "trimming"
Which is basically just "deleting" rows from a column series.
You can only use the trim command from the `.cmd` cli and only with a so
called `LocalClient` currently; it's also sketchy af and caused
a machine to hang due to mem usage..

Ideally we can patch in this functionality for use by the rpc api
and have it not hang like this XD

Pertains to https://github.com/alpacahq/marketstore/issues/264
2022-06-05 22:13:08 -04:00
Tyler Goodlet b236dc72e4 Make vlm a float; discrete is so 80s 2022-06-05 22:13:08 -04:00
Tyler Goodlet 27ee9fdc81 Drop old non-working flatten routine 2022-06-05 22:13:08 -04:00
Tyler Goodlet 5d294031f2 Factor step format data gen into `to_step_format()`
Yet another path ops routine which converts a 1d array into a data
format suitable for rendering a "step curve" graphics path (aka a "bar
graph" but implemented as a continuous line).

Also, factor the `BarItems` rendering logic (which determines whether to
render the literal bars lines or a downsampled curve) into a routine
`render_baritems()` until we figure out the right abstraction layer for
it.
2022-06-05 22:13:08 -04:00
Tyler Goodlet 537b725bf3 Factor ohlc to line data conversion into `._pathops.ohlc_to_line()` 2022-06-05 22:13:08 -04:00
Tyler Goodlet ca5a25f921 Drop commented `numba` imports 2022-06-05 22:13:08 -04:00
Tyler Goodlet 037300ced0 Move ohlc lines-curve generators into pathops mod 2022-06-05 22:13:08 -04:00
Tyler Goodlet 9c5bc6deda Add `.ui._pathops` module
Starts a module for grouping together all our `QPainterpath` related
generation and data format operations for creation of fast curve
graphics. To start, drops `FastAppendCurve.downsample()` and moves
it to a new `._pathops.xy_downsample()`.
2022-06-05 22:13:08 -04:00
Tyler Goodlet bc50db5925 Rename `._ohlc.gen_qpath()` -> `.gen_ohlc_qpath()` 2022-06-05 22:13:08 -04:00
Tyler Goodlet e8e26232ea Drop `BarItems.update_from_array()`; moved into `Flow` 2022-06-05 22:13:08 -04:00
Tyler Goodlet f6909ae395 Drop legacy step mode data formatter 2022-06-05 22:13:08 -04:00
Tyler Goodlet b609f46d26 Always delay interaction update profiling 2022-06-05 22:13:08 -04:00
Tyler Goodlet 5d26609693 Add "no-tsdb-found" history load length defaults 2022-06-05 22:13:08 -04:00
Tyler Goodlet 09e988ec3e Use `ms_threshold` throughout remaining profilers 2022-06-05 22:13:08 -04:00
Tyler Goodlet 5e602214be Use new flag, add more marks through display loop 2022-06-05 22:13:08 -04:00
Tyler Goodlet cfc4198837 Use new profiler arg name, add more marks throughout flow update 2022-06-05 22:13:08 -04:00
Tyler Goodlet c455df7fa8 Drop legacy step path gen, always slice full data
Mostly just dropping old commented code for "step mode" format
generation. Always slice the tail part of the input data and move to the
new `ms_threshold` in the `pg` profiler'
2022-06-05 22:13:08 -04:00
Tyler Goodlet 47cf4aa4f7 Error log brokerd msgs that have `.reqid == None`
Relates to the bug discovered in #310, this should avoid out-of-order
msgs which do not have a `.reqid` set to be error logged to console.
Further, add `pformat()` to kraken logging of ems msging.
2022-06-05 22:13:08 -04:00
Tyler Goodlet 4f36743f64 Only udpate prepended graphics when actually in view 2022-06-05 22:13:08 -04:00
Tyler Goodlet 1fcb9233b4 Add back mx/mn updates for L1-in-view, lost during rebase 2022-06-05 22:13:08 -04:00
Tyler Goodlet fb38265199 Clean out legacy code from `Flow.update_graphics()` 2022-06-05 22:13:08 -04:00
Tyler Goodlet e163a7e336 Drop `bar_wap` curve for now, seems to also be causing hangs?! 2022-06-05 22:13:08 -04:00
Tyler Goodlet 36a10155bc Add profiler passthrough type annot, comments about appends vs. uppx 2022-06-05 22:13:08 -04:00
Tyler Goodlet 7a3437348d An absolute uppx diff of >= 1 seems more then fine 2022-06-05 22:13:08 -04:00
Tyler Goodlet 0744dd0415 Up the display throttle rate to 22Hz 2022-06-05 22:13:08 -04:00
Tyler Goodlet 0770a39125 Only do curve appends on low uppx levels 2022-06-05 22:13:08 -04:00
Tyler Goodlet 2b6041465c Startup up with 3k bars 2022-06-05 22:13:08 -04:00
Tyler Goodlet 859eaffa29 Drop vwap fsp for now; causes hangs.. 2022-06-05 22:13:08 -04:00
Tyler Goodlet b12921678b Drop step routine import 2022-06-05 22:13:08 -04:00
Tyler Goodlet 186658ab09 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
2022-06-05 22:13:08 -04:00
Tyler Goodlet 12d60e6d9c 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)
2022-06-05 22:13:08 -04:00
Tyler Goodlet c5beecf8a1 Drop cursor debounce delay, decrease rate limit 2022-06-05 22:13:08 -04:00
Tyler Goodlet 629ea8ba9d Downsample on every uppx inrement since it's way faster 2022-06-05 22:13:08 -04:00
Tyler Goodlet ba0ba346ec Drop log scaling support since uppx driven scaling seems way faster/better 2022-06-05 22:13:08 -04:00
Tyler Goodlet 82b2d2ee3a Hipshot, use uppx to drive theoretical px w 2022-06-05 22:13:08 -04:00
Tyler Goodlet b2b31b8f84 WIP incrementally update step array format 2022-06-05 22:13:08 -04:00
Tyler Goodlet b97ec38baf 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.
2022-06-05 22:13:08 -04:00
Tyler Goodlet 64c6287cd1 Always set coords cache on curves 2022-06-05 22:13:08 -04:00
Tyler Goodlet 69282a9924 Handle null output case for vlm chart mxmn 2022-06-05 22:13:08 -04:00
Tyler Goodlet aee44fed46 Right, handle the case where the shm prepend history isn't full XD 2022-06-05 22:13:08 -04:00
Tyler Goodlet db727910be Always use coord cache, add naive view range diffing logic 2022-06-05 22:13:08 -04:00
Tyler Goodlet 64206543cd Put mxmn profile mapping at end of method 2022-06-05 22:13:08 -04:00
Tyler Goodlet af6aad4e9c If a sample stream is already ded, just warn 2022-06-05 22:13:08 -04:00
Tyler Goodlet c94c53286b `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.
2022-06-05 22:13:08 -04:00
Tyler Goodlet 2af4050e5e Remove `._set_yrange()` handler from x-range-change signal 2022-06-05 22:13:08 -04:00
Tyler Goodlet df78e9ba96 Delegate graphics cycle max/min to chart/flows 2022-06-05 22:13:08 -04:00
Tyler Goodlet 7e1ec7b5a7 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.

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?).
2022-06-05 22:13:08 -04:00
Tyler Goodlet 3dbce6f891 Add `FastAppendCurve.draw_last()` 2022-06-05 22:13:08 -04:00
Tyler Goodlet 239c9d701a Don't require data input to constructor 2022-06-05 22:13:08 -04:00
Tyler Goodlet 427a33654b More WIP, implement `BarItems` rendering in `Flow.update_graphics()` 2022-06-05 22:13:08 -04:00
Tyler Goodlet f4dc0fbab8 Add `BarItems.draw_last()` and disable `.update_from_array()` 2022-06-05 22:13:08 -04:00
Tyler Goodlet e0a72a2174 WIP starting architecture doc str writeup.. 2022-06-05 22:13:08 -04:00
Tyler Goodlet 5a9bab0b69 WIP incremental render apis 2022-06-05 22:13:08 -04:00
Tyler Goodlet d0af280a59 Port view downsampling handler to new update apis 2022-06-05 22:13:08 -04:00
Tyler Goodlet 599c77ff84 Port ui components to use flows, drop all late assignments of shm 2022-06-05 22:13:08 -04:00
Tyler Goodlet c097016fd2 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()`
2022-06-05 22:13:08 -04:00
goodboy be7c4e70f0
Merge pull request #321 from pikers/ib_dedicated_data_client
Ib dedicated data client
2022-06-05 22:12:46 -04:00
Tyler Goodlet 051680e259 Fill data client sockaddr in feed status as `data_ep` field 2022-06-05 22:08:03 -04:00
Tyler Goodlet 55a453a710 Update `ib` section in brokers config template 2022-06-05 22:08:03 -04:00
Tyler Goodlet 88eccc1e15 Fill in label with pairs from `status` value of backend init msg 2022-06-05 22:08:00 -04:00
Tyler Goodlet 488506d8b8 Move feed status label generation into a new module 2022-06-05 22:07:13 -04:00
Tyler Goodlet 78b9333bcd Expect `list` of ports in `ib.ports` section
Given that naming the port map is mostly pointless, since accounts can
be detected once the client connects, just expect a `brokers.toml` to
define a simple sequence of port numbers. Toss in a warning for using
the old map/`dict` style.
2022-06-05 22:07:13 -04:00
Tyler Goodlet 7229a39f47 Drop data reset tries to 2 before connection reset 2022-06-04 20:44:43 -04:00
Tyler Goodlet d870a09a4b Increase timeouts, always connection reset after 3 tries 2022-06-04 20:44:03 -04:00
Tyler Goodlet 5d53ecb433 Switch vnc server to port 3003 2022-06-04 20:44:03 -04:00
Tyler Goodlet 06832b94d4 Add vnc password auth, connection reset logic
Now that we have working client auth thanks to:
https://github.com/barneygale/asyncvnc/pull/4 and related issue,
we can use a pw for the vnc server, though we should eventually
auto-generate a random one from a docker super obviously.

Add logic to the data reset hack loop to do a connection reset after
2 failed/timeout attempts at the regular data reset. We need to also add
this logic around reconnectionn events that are due to the host
network connection: aka roaming that's faster then timing logic
builtin to the gateway.
2022-06-04 20:44:03 -04:00
Tyler Goodlet 8d6c5b214e Add 6, 6s retries on feed resets 2022-06-04 20:44:03 -04:00
Tyler Goodlet a5389beccd Rejig scan loop for flaky TCP connects, better caching
`ib-gw` seems particularly fragile to connections from clients with the
same id (can result in weird connect hangs and even crashes) and
`ib_insync` doesn't handle intermittent tcp disconnects that
well..(especially on dockerized IBC setups). This adds a bunch of
changes to our client caching and scan loop as well a proper
task-locking-to-cache-proxies so that,

- `asyncio`-side clients aren't double-loaded/connected even when
  explicitly trying to reconnect repeatedly with a given client to work
  around the unreliability of the `asyncio.Transport` design in
  `ib_insync`.
- we can use `tractor.trionics.maybe_open_context()` to lock the `trio`
  side from loading more then one `Client` on the `asyncio` side and
  instead on cache hits only making a new `MethodProxy` around the
  reused `asyncio`-side client (since each `trio` task needs its own
  inter-task msg channel).
- a `finally:` block teardown on all clients loaded in the scan loop
  avoids stale connections.
- the connect params are now exposed as named args to
  `load_aio_clients()` can be easily controlled from caller code.

Oh, and we properly hooked up the internal `ib_insync` logging to our
own internal schema - makes it a lot easier to debug wtf is going on XD
2022-06-04 20:44:03 -04:00
Tyler Goodlet 26f47227d2 Fix `.ib` pattern match 2022-06-04 20:44:03 -04:00
Tyler Goodlet b357a120b9 Fix output unpack 2022-06-04 20:44:03 -04:00
Tyler Goodlet aba8b05a33 Fix null match 2022-06-04 20:44:03 -04:00
Tyler Goodlet c3142aec81 Drop `i3ipc + `xdotool` approach for feed hacks 2022-06-04 20:44:03 -04:00
Tyler Goodlet bff625725e Implement reset hacks via our patched `asyncvnc` client 2022-06-04 20:44:03 -04:00
Tyler Goodlet 6f172479eb Drop task-per-method `trio`-`asyncio` proxying
Use method proxies through the remaining endpoints and drop the old
spawn-a-task-per-method-call style helpers from module.
2022-06-04 20:44:03 -04:00
Tyler Goodlet a96f1dec3a Proxy heaven, choose one "preferred data client"
In order to expose more `asyncio` powered `Client` methods to endpoint
task-code this adds a more extensive and layered set of `MethodProxy`
loading routines, in dependency order these are:
- `load_clients_for_trio()` a `tractor.to_asyncio.open_channel_from()`
  entry-point factory for loading all scanned clients on the `asyncio` side
  and delivering them over the inter-task channel to a `trio`-side task.
- `get_preferred_data_client()` a simple client instance loading routine
  which reads from the users `brokers.toml -> `prefer_data_account:
  list[str]` which must list account names, in priority order, that are
  acceptable to be used as the main "data connection client" such that
  only one of the detected clients is used for data (whereas the rest
  are used only for order entry).
- `open_client_proxies()` which delivers the detected `Client` set
  wrapped each in a `MethodProxy`.
- `open_data_client()` which directly delivers the preferred data client
  as a proxy for `trio` tasks.
- update `open_client_method_proxy()` and `open_client_proxy` to require
  an input `Client` instance.

Further impl details:
- add `MethodProxy._aio_ns` to ref the original `asyncio` side proxied instance
- add `Client.trades()` to pull executions from the last day/session
- load proxies inside `trades_dialogue` and use the new `.trades()`
  method to try and pull a fill ledger for eventual correct pp price
  calcs (pertains to #307)..
2022-06-04 20:44:03 -04:00
goodboy 86caf5f6a3
Merge pull request #322 from pikers/dockerize_ib_gw
Dockerize `ib-gw` 🏄🏼
2022-06-04 20:42:32 -04:00
Tyler Goodlet 72b4273ddc Link to container readme 2022-06-04 20:40:36 -04:00
Tyler Goodlet 4281936ff4 Add readme for `ib-gw` container usage 2022-06-04 20:18:29 -04:00
Guillermo Rodriguez 4ddf04f68b
Merge pull request #328 from pikers/windows_tiling_fix
fix windows snap problem by removing maximum window size
2022-06-04 20:58:37 -03:00
dinkus 339fcda727 fix windows snap problem by removing maximum window size 2022-06-04 17:53:27 -04:00
Tyler Goodlet 4b7d7d688e Bind to port 3003 2022-06-03 10:22:50 -04:00
Tyler Goodlet 7ae7b2f864 Lol, bind vnc server to localhost only 2022-06-03 10:21:56 -04:00
Tyler Goodlet fa9f8c78c3 Only bind IBC command server to localhost 2022-06-03 10:21:37 -04:00
Tyler Goodlet 3bbbc21d2b Comment unneeded port map for now 2022-06-03 10:21:29 -04:00
Tyler Goodlet b03603a6b4 Drop password auth from vnc server
Currently we're held back by an `asyncvnc` issue,
https://github.com/barneygale/asyncvnc/issues/1 but even still, given
we're running the container to be only accessible by localhost i'm not
sure we need this for the moment (or at all) anyway.
2022-05-24 09:29:35 -04:00
Tyler Goodlet 81b77df544 Flip tz to NY, add note about .env file 2022-05-24 09:29:35 -04:00
Tyler Goodlet a79a99fc71 Add working, template docker setup for `ib-gw`
Based on the now defunct project @
https://github.com/waytrade/ib-gateway-docker

Adds a `docker-compose.yml` and necessary gateway and `IBC` config
files to make it possible to spin up a local gateway on localhost:4002
and connect to it without issue using `ib_insync`.

Next up, we'll want to,
- automated the equivalent docker-compose steps using our
  `.data._ahab` supervisor system
- probably simplify and roll our own container (likely alpine or nixos
  based) which drops uneeded deps (`socat`, vnc) and adds `xdotool`.
- allow for API socket mapping to just be pulled direct from
  a user's `brokers.toml` and we'll just pass that direct to `IBC`'s
  config.
2022-05-21 14:22:11 -04:00
goodboy 9f47515f59
Merge pull request #320 from pikers/drop_pandas
Drop `pandas`
2022-05-15 13:57:06 -04:00
Tyler Goodlet 09f2f32d5b Drop `pandas` timestamp for qt 2022-05-15 13:49:54 -04:00
Tyler Goodlet e718120cc7 Drop `pandas` as dep 2022-05-15 13:49:54 -04:00
Tyler Goodlet fb5df5ab5e Drop `pandas` usage throughout brokers cli 2022-05-15 13:49:50 -04:00
Tyler Goodlet 6e2e2fc03f Use `pendulum` for timestamp parsing 2022-05-15 13:45:44 -04:00
Tyler Goodlet a3b2ba9ae9 Use `numpy.datetime64` for x-axis tick strings 2022-05-15 13:45:37 -04:00
goodboy 7083c5a0bd
Merge pull request #319 from pikers/no_ib_pps
No ib pps? Account names should still load.
2022-05-13 16:26:46 -04:00
Tyler Goodlet de55565f60 We already collect account values/names in `load_io_clients()` 2022-05-12 14:21:31 -04:00
Tyler Goodlet d0530c4e26 Deliver accounts from query instead of just pps with `ib` 2022-05-12 13:22:51 -04:00
goodboy 21b16b4a9e
Merge pull request #318 from pikers/trimeter_dep
Add `trimeter` dep.. that we forgot
2022-05-11 16:28:29 -04:00
Tyler Goodlet ed85079d0f Add `trimeter` dep.. that we forgot 2022-05-11 13:19:47 -04:00
goodboy 5b540a53e9
Merge pull request #317 from pikers/l1_precision_fix
Convert `binance` tick/lot step sizes to `float`
2022-05-11 11:17:43 -04:00
Tyler Goodlet fb91e27651 Well that was easy, convert tick/lot step sizes to `float` 2022-05-11 10:41:03 -04:00
goodboy 482fc1da10
Merge pull request #308 from pikers/storage_layer
Storage layer: initial `marketstore` tsdb support with async OHLCV history loading.
2022-05-11 10:18:33 -04:00
Tyler Goodlet b3f9c4f93d Only assert if input array actually has a size 2022-05-10 17:59:24 -04:00
Tyler Goodlet 09431aad85 Add support for no `._first.value` update shm prepends 2022-05-10 17:59:16 -04:00
Tyler Goodlet 8219307bf5 Double up shm buffer size 2022-05-10 17:59:08 -04:00
Tyler Goodlet b910eceb3b Add `ShmArray.ustruct()`: return an unstructured array copy
We return a copy (since since a view doesn't seem to work..) of the
(field filtered) shm array contents which is the same index-length as
the source data.

Further, fence off the resource tracker disable-hack into a helper
routine.
2022-05-10 17:58:57 -04:00
Tyler Goodlet 1657f51edc Manually fetch missing out-of-order history frames
It seems once in a while a frame can get missed or dropped (at least
with binance?) so in those cases, when the request erlangs is already at
max, we just manually request the missing frame and presume things will
work out XD

Further, discard out of order frames that are "from the future" that
somehow end up in the async queue once in a while? Not sure why this
happens but it seems thus far just discarding them is nbd.
2022-05-10 17:25:20 -04:00
Tyler Goodlet b1246446c2 Raise error on 'fatal' and 'error' log levels 2022-05-10 17:25:20 -04:00
Tyler Goodlet 083a3296e7 Better formatted startup logging output 2022-05-10 14:55:52 -04:00
Tyler Goodlet 769e803695 Write `mkts.yml` from template if one dne 2022-05-10 14:55:52 -04:00
Tyler Goodlet e196e9d1a0 Factor `marketstore` container specifics into `piker.data.marketstore` 2022-05-10 14:55:52 -04:00
Tyler Goodlet 9ddfae44d2 Parametrize and deliver (relevant) mkts config in `start_ahab()` 2022-05-10 14:55:52 -04:00
Tyler Goodlet 277ca29018 Always write missing history frames to tsdb (again) 2022-05-10 14:55:52 -04:00
Tyler Goodlet 26fddae3c0 Fix earliest frame-end not-yet-pushed check
Bleh/🤦, the ``end_dt`` in scope is not the "earliest" frame's
`end_dt` in the async response queue.. Parse the queue's latest epoch
and use **that** to compare to the last last pushed datetime index..

Add more detailed logging to help debug any (un)expected datetime index
gaps.
2022-05-10 14:55:52 -04:00
Tyler Goodlet 4b6ecbfc79 Bring binance requests down to 3/sec; seems faster? 2022-05-10 14:55:52 -04:00
Tyler Goodlet 30ddf63ec0 Handle gaps greater then a frame within a frame 2022-05-09 11:15:14 -04:00
Tyler Goodlet 8e08fb7b23 Add comment about un-reffed vars meant for use in shell 2022-05-09 11:15:14 -04:00
Tyler Goodlet fb9b6990ae Drop unneeded/commented cancel-by-msg code; roots perms wasn't the problem 2022-05-09 11:15:14 -04:00
Tyler Goodlet 1676bceee1 Don't offset the start index by a step 2022-05-09 11:15:14 -04:00
Tyler Goodlet c9a621fc2a Fix less-then-frame off by one slice, add db write toggle and disable 2022-05-09 11:15:14 -04:00
Tyler Goodlet 0324404b03 Include epoch timestamp in quote label for now 2022-05-09 11:15:14 -04:00
Tyler Goodlet 61e9db3229 Handle ``iter_dts()`` already exhausted edge case 2022-05-09 11:15:14 -04:00
Tyler Goodlet 4a6f01747c Label "humanized" sample period in window title-bar" 2022-05-09 11:15:14 -04:00
Tyler Goodlet e4a900168d Add timeframe key to seconds map 2022-05-09 11:15:14 -04:00
Tyler Goodlet 40753ae93c Always write newly pulled frames to tsdb 2022-05-09 11:15:14 -04:00
Tyler Goodlet 969530ba19 Fix slice logic for less-then-frame tsdb overlap
When the tsdb has a last datum that is in the past less then a "frame's
worth" of sample steps we need to slice out only the data from the
latest frame that doesn't overlap; this fixes that slice logic..
Previously i dunno wth it was doing..
2022-05-09 11:15:14 -04:00
Tyler Goodlet 9b5f052597 Handle no sampler subs case on history broadcasts
When the market isn't open the feed layer won't create a subscriber
entry in the sampler broadcast loop and so if a manual call to
``broadcast()`` is made (like when trying to update a chart from
a history prepend) we need to handle that case and just broadcast
a random `-1` for now..BD
2022-05-09 11:15:14 -04:00
Tyler Goodlet b44786e5b7 Support async-batched ohlc queries in all backends
Expect each backend to deliver a `config: dict[str, Any]` which provides
concurrency controls to `trimeter`'s batch task scheduler such that
backends can define their own concurrency limits.

The dirty deats in this patch include handling history "gaps" where
a query returns a history-frame-result which spans more then the typical
frame size (in seconds). In such cases we reset the target frame index
(datetime index sequence implemented with a `pendulum.Period`) using
a generator protocol `.send()` such that the sequence can be dynamically
re-indexed starting at the new (possibly) pre-gap datetime. The new gap
logic also allows us to detect out of order frames easier and thus wait
for the next-in-order to arrive before making more requests.
2022-05-09 11:15:14 -04:00
Tyler Goodlet 7e951f17ca Support large ohlcv writes via slicing, add struct array keymap 2022-05-09 11:15:14 -04:00
Tyler Goodlet fcb85873de Terminate early on data unavailable errors 2022-05-09 11:15:14 -04:00
Tyler Goodlet 7b1c0939bd Add first-draft `trimeter` based concurrent ohlc history fetching 2022-05-09 11:15:14 -04:00
Tyler Goodlet d77cfa3587 Add back fqsn passthrough and feed opening 2022-05-09 11:15:14 -04:00
Tyler Goodlet 49509d55d2 Implement `open_history_client()` correctly for `kraken` 2022-05-09 11:15:14 -04:00
Tyler Goodlet 6ba3c15c4e Add to signal broker won't deliver more data 2022-05-09 11:15:14 -04:00
Tyler Goodlet a3db5d1bdc Relay frame size in `NoData` due to null-result history 2022-05-09 11:15:14 -04:00
Tyler Goodlet c672493998 Add , indicates hist size to decrement to storage logic 2022-05-09 11:15:14 -04:00
Tyler Goodlet 423af37389 Truncate trade rate wma window sizes 2022-05-09 11:15:14 -04:00
Tyler Goodlet 0061fabb56 More tolerance for "stream-ended-early" conditions in quote throttler 2022-05-09 11:15:14 -04:00
Tyler Goodlet 2f04a8c939 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.
2022-05-09 11:15:14 -04:00
Tyler Goodlet 8bf40ae299 Drop legacy backfilling, load a day's worth of data by default 2022-05-09 11:15:14 -04:00
Tyler Goodlet 0f683205f4 Add 16 fetch limit if no tsdb data found 2022-05-09 11:15:14 -04:00
Tyler Goodlet d244af69c9 Don't require a symbol to subcmd 2022-05-09 11:15:13 -04:00
Tyler Goodlet b8b95f1081 Don't open a feed, write or read ohlc in for now 2022-05-09 11:15:13 -04:00
Tyler Goodlet 3056bc3143 Don't run legacy backfill when isn't up 2022-05-09 11:15:13 -04:00
Tyler Goodlet d3824c8c0b Start legacy backfill with partial too 2022-05-09 11:15:13 -04:00
Tyler Goodlet 727d3cc027 Unify backfilling logic into common task-routine 2022-05-09 11:15:13 -04:00
Tyler Goodlet 46c23e90db Add `Storage.load()` and `.write_ohlcv()` 2022-05-09 11:15:13 -04:00
Tyler Goodlet bcf3be1fe4 A bit hacky but, broadcast index streams on each history prepend 2022-05-09 11:15:13 -04:00
Tyler Goodlet 7d8cf3eaf8 Factor subscription broadcasting into a func 2022-05-09 11:15:13 -04:00
Tyler Goodlet d4e0d4463f Always update ohlc (main source chart) on `trigger_all=True` 2022-05-09 11:15:13 -04:00
Tyler Goodlet ab8629aa11 Make ib history client expect datetimes for input 2022-05-09 11:15:13 -04:00
Tyler Goodlet 2a07005c97 Add binance history client support with datetime use throughout 2022-05-09 11:15:13 -04:00
Tyler Goodlet 79160619bc Drop old type annot 2022-05-09 11:15:13 -04:00
Tyler Goodlet e1a88cb93c Only update y mxmn from L1 when last index in view 2022-05-09 11:15:13 -04:00
Tyler Goodlet a6c5902437 More reliable `marketstored` + container supervision
It turns out (i guess not so shockingly?) that `marketstore` doesn't
always teardown "gracefully" under SIGINT (seems to hang if there are
open client connections which are also in the midst of teardown?) so
this instead first tries the SIGINT and then fails over to a SIGKILL
(destroy loop) which seems to be much more reliable to ensure shutdown
without any downside - in terms of a "hard kill".

Originally i was thinking the issue was root perms related (which get
relegated solely to the `marketstored` daemon actor after spawn) but
actually it was indeed the signalling / application layer causing the
hold-up/latency on teardown. There's a bunch of lingering (now
commented) code which tried to solve this non-problem as well as a bunch
logging/prints to help decipher the root of the issue - this will all
get cleaned out shortly.
2022-05-09 11:15:13 -04:00
Tyler Goodlet a10dc4fe77 Add `docker` as `tsdb` extras dep 2022-05-09 11:15:13 -04:00
Tyler Goodlet 71416f5752 Add `anyio-marketstore` client as dev dep 2022-05-09 11:15:13 -04:00
Tyler Goodlet 9fe5cd647a Handle non-fqsn for derivs and don't put brokername in 2022-05-09 11:15:13 -04:00
Tyler Goodlet 15630f465d Limit ohlc queries to 800k datums to avoid `purepc` size error 2022-05-09 11:15:13 -04:00
Tyler Goodlet ce3229df7d Get sync-to-marketstore-tsdb history retrieval workinnn 2022-05-09 11:15:13 -04:00
Tyler Goodlet 53ad5e6f65 Handle "fatal" level log msgs in docker super 2022-05-09 11:15:13 -04:00
Tyler Goodlet 41325ad418 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.
2022-05-09 11:15:13 -04:00
Tyler Goodlet a971de2b67 Drop `ms-shell`, add `piker storesh` cmd 2022-05-09 11:15:13 -04:00
Tyler Goodlet ca48577c60 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
2022-05-09 11:15:13 -04:00
Tyler Goodlet 950cb03e07 Drop `pandas` to `numpy` converter 2022-05-09 11:15:13 -04:00
Tyler Goodlet 907b7dd5c6 Disable re-connect for now in ib script 2022-05-09 11:15:13 -04:00
Tyler Goodlet 6cdd017cd6 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.
2022-05-09 11:15:13 -04:00
Tyler Goodlet 6dc6d00a9b Try downsampling mkts data 2022-05-09 11:15:13 -04:00
Tyler Goodlet ba250c7197 Comment each special key combo 2022-05-09 11:15:13 -04:00
Tyler Goodlet 565573b609 Load any symbol-matching shm array if no `marketstored` found 2022-05-09 11:15:13 -04:00
Tyler Goodlet 39b4d2684a Get ib key hack script to work with reconnect 2022-05-09 11:15:13 -04:00
Tyler Goodlet 25dfe4115d Move ib data reset script into a new `scripts/` dir 2022-05-09 11:15:13 -04:00
Tyler Goodlet 6c6f2abd06 Use new `tractor.query_actor()` for service checking 2022-05-09 11:15:13 -04:00
Tyler Goodlet 9138f376f7 Return all timeframe arrays if `timeframe` not passed as input 2022-05-09 11:15:13 -04:00
Tyler Goodlet f582af4c9f Make `pikerd` work again without `--tsdb` flag 2022-05-09 11:15:13 -04:00
Tyler Goodlet dd2edaeb3c Add a service checker predicate 2022-05-09 11:15:13 -04:00
Tyler Goodlet 3d6d77364b Allow kill-child-proc-with-root-perms to fail silently in `tractor` reaping 2022-05-09 11:15:13 -04:00
Tyler Goodlet 8003878248 Proxy `marketstore` container log level to our own 2022-05-09 11:15:13 -04:00
Tyler Goodlet 706c8085f2 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.
2022-05-09 11:15:13 -04:00
Tyler Goodlet cbe74d126e Doc str formatting 2022-05-09 11:15:13 -04:00
Tyler Goodlet 3dba456cf8 Add latency measures around diffs/writes to mkts 2022-05-09 11:15:13 -04:00
Tyler Goodlet 4555a1f279 Prototype out writing `1Sec` OHLCV data 2022-05-09 11:15:13 -04:00
Tyler Goodlet a2fe814857 Better doc string 2022-05-09 11:15:13 -04:00
Tyler Goodlet 8c558d05d6 Persist backing `/data/` filesystem across container runs 2022-05-09 11:15:13 -04:00
Tyler Goodlet e1bbcff8e0 Get basic OHLCV writes working with `anyio` client 2022-05-09 11:15:13 -04:00
Tyler Goodlet ba82a18890 Pass in daemon name to `start_ahab()` 2022-05-09 11:15:13 -04:00
Tyler Goodlet d9773217e9 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).
2022-05-09 11:15:13 -04:00
Tyler Goodlet 2c51ad2a0d Revive `ms-shell` sub-cmd 2022-05-09 11:15:13 -04:00
Tyler Goodlet 56fa759452 Add WIP backfiller from data feed helper 2022-05-09 11:15:13 -04:00
Tyler Goodlet 4bcc301c01 Better handle nested erros from docker client 2022-05-09 11:15:13 -04:00
Tyler Goodlet 445b82283d Add back in legacy write loop for reference 2022-05-09 11:15:13 -04:00
Tyler Goodlet 8047714101 Add back in OHLCV dtype template and client side ws streamer 2022-05-09 11:15:13 -04:00
Tyler Goodlet 970393bb85 Drop ununsed `Services` ref 2022-05-09 11:15:13 -04:00
Tyler Goodlet ed5bae0e11 Py3.9+ type updates 2022-05-09 11:15:13 -04:00
Tyler Goodlet facc86f76e Add `--tsdb` flag to start `marketstore` with `pikerd` 2022-05-09 11:15:13 -04:00
Tyler Goodlet 7395b56321 De-escalate sudo perms in `pikerd` once docker spawns 2022-05-09 11:15:13 -04:00
Tyler Goodlet aecc5973fa Handle the non-root perms case specifically too 2022-05-09 11:15:13 -04:00
Tyler Goodlet faa5a785cb Add explicit no-docker error and supervisor start task-func 2022-05-09 11:15:13 -04:00
Tyler Goodlet 7d2e9bff46 Type annot updates 2022-05-09 11:15:13 -04:00
Tyler Goodlet ec413541d3 Drop old client instantiate line 2022-05-09 11:15:13 -04:00
Tyler Goodlet 9203ebe044 Drop import, it's got madness with and SIGINT? 2022-05-09 11:15:13 -04:00
Tyler Goodlet fbd3d1e308 Add a super simple `marketstore` container supervisor 2022-05-09 11:15:13 -04:00
Tyler Goodlet 1cdb94374c Extract non-sudo user for config dir path 2022-05-09 11:15:13 -04:00
Tyler Goodlet aca3ca8aa6 Basic module-script for spawning `marketstore`, needs correct bind mount usage 2022-05-09 11:15:13 -04:00
Guillermo Rodriguez 943b02573d Still WIP, switch to using new marketstore client, missing streaming from marketstore 2022-05-09 11:15:13 -04:00
Guillermo Rodriguez 897a5cf2f6 Simplify and optimize tick format, similar to techtonicdb's 2022-05-09 11:15:13 -04:00
Guillermo Rodriguez 3c09bfba57 Add multi ingestor support and update to new feed API 2022-05-09 11:15:13 -04:00
53 changed files with 8844 additions and 4753 deletions

View File

@ -138,7 +138,7 @@ provider support
****************
for live data feeds the in-progress set of supported brokers is:
- IB_ via ``ib_insync``
- IB_ via ``ib_insync``, also see our `container docs`_
- binance_ and kraken_ for crypto over their public websocket API
- questrade_ (ish) which comes with effectively free L1
@ -150,6 +150,7 @@ 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

@ -12,16 +12,41 @@ api_key = ""
secret = ""
[ib]
host = "127.0.0.1"
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
]
ports.gw = 4002
ports.tws = 7497
ports.order = ["gw", "tws",]
# 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
accounts.margin = "X0000000"
accounts.ira = "X0000000"
accounts.paper = "XX0000000"
# 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',
]
# the order in which accounts will be selected (if found through
# `brokerd`) when a new symbol is loaded
accounts_order = ['paper', 'margin', 'ira']
[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"

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@ -0,0 +1,30 @@
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

@ -0,0 +1,64 @@
# 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"

View File

@ -0,0 +1,6 @@
#!/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

View File

@ -0,0 +1,711 @@
# 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=

View File

@ -0,0 +1,33 @@
[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

@ -0,0 +1,16 @@
#!/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

@ -19,7 +19,7 @@ Structured, daemon tree service management.
"""
from typing import Optional, Union, Callable, Any
from contextlib import asynccontextmanager
from contextlib import asynccontextmanager as acm
from collections import defaultdict
from pydantic import BaseModel
@ -35,7 +35,7 @@ log = get_logger(__name__)
_root_dname = 'pikerd'
_registry_addr = ('127.0.0.1', 1616)
_registry_addr = ('127.0.0.1', 6116)
_tractor_kwargs: dict[str, Any] = {
# use a different registry addr then tractor's default
'arbiter_addr': _registry_addr
@ -130,7 +130,7 @@ class Services(BaseModel):
_services: Optional[Services] = None
@asynccontextmanager
@acm
async def open_pikerd(
start_method: str = 'trio',
loglevel: Optional[str] = None,
@ -185,7 +185,7 @@ async def open_pikerd(
yield _services
@asynccontextmanager
@acm
async def open_piker_runtime(
name: str,
enable_modules: list[str] = [],
@ -226,7 +226,7 @@ async def open_piker_runtime(
yield tractor.current_actor()
@asynccontextmanager
@acm
async def maybe_open_runtime(
loglevel: Optional[str] = None,
**kwargs,
@ -249,7 +249,7 @@ async def maybe_open_runtime(
yield
@asynccontextmanager
@acm
async def maybe_open_pikerd(
loglevel: Optional[str] = None,
**kwargs,
@ -300,7 +300,36 @@ class Brokerd:
locks = defaultdict(trio.Lock)
@asynccontextmanager
@acm
async def find_service(
service_name: str,
) -> Optional[tractor.Portal]:
log.info(f'Scanning for service `{service_name}`')
# attach to existing daemon by name if possible
async with tractor.find_actor(
service_name,
arbiter_sockaddr=_registry_addr,
) as maybe_portal:
yield maybe_portal
async def check_for_service(
service_name: str,
) -> bool:
'''
Service daemon "liveness" predicate.
'''
async with tractor.query_actor(
service_name,
arbiter_sockaddr=_registry_addr,
) as sockaddr:
return sockaddr
@acm
async def maybe_spawn_daemon(
service_name: str,
@ -310,7 +339,7 @@ async def maybe_spawn_daemon(
**kwargs,
) -> tractor.Portal:
"""
'''
If no ``service_name`` daemon-actor can be found,
spawn one in a local subactor and return a portal to it.
@ -321,7 +350,7 @@ async def maybe_spawn_daemon(
This can be seen as a service starting api for remote-actor
clients.
"""
'''
if loglevel:
get_console_log(loglevel)
@ -330,19 +359,13 @@ async def maybe_spawn_daemon(
lock = Brokerd.locks[service_name]
await lock.acquire()
log.info(f'Scanning for existing {service_name}')
# attach to existing daemon by name if possible
async with tractor.find_actor(
service_name,
arbiter_sockaddr=_registry_addr,
) as portal:
async with find_service(service_name) as portal:
if portal is not None:
lock.release()
yield portal
return
log.warning(f"Couldn't find any existing {service_name}")
log.warning(f"Couldn't find any existing {service_name}")
# ask root ``pikerd`` daemon to spawn the daemon we need if
# pikerd is not live we now become the root of the
@ -403,9 +426,19 @@ 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 + [brokermod.__name__],
enable_modules=_data_mods + broker_enable,
loglevel=loglevel,
debug_mode=_services.debug_mode,
**tractor_kwargs
@ -423,7 +456,7 @@ async def spawn_brokerd(
return True
@asynccontextmanager
@acm
async def maybe_spawn_brokerd(
brokername: str,
@ -431,7 +464,9 @@ async def maybe_spawn_brokerd(
**kwargs,
) -> tractor.Portal:
'''Helper to spawn a brokerd service.
'''
Helper to spawn a brokerd service *from* a client
who wishes to use the sub-actor-daemon.
'''
async with maybe_spawn_daemon(
@ -483,7 +518,7 @@ async def spawn_emsd(
return True
@asynccontextmanager
@acm
async def maybe_open_emsd(
brokername: str,

View File

@ -33,7 +33,41 @@ class SymbolNotFound(BrokerError):
class NoData(BrokerError):
"Symbol data not permitted"
'''
Symbol data not permitted or no data
for time range found.
'''
def __init__(
self,
*args,
frame_size: int = 1000,
) -> None:
super().__init__(*args)
# when raised, machinery can check if the backend
# set a "frame size" for doing datetime calcs.
self.frame_size: int = 1000
class DataUnavailable(BrokerError):
'''
Signal storage requests to terminate.
'''
# TODO: add in a reason that can be displayed in the
# UI (for eg. `kraken` is bs and you should complain
# to them that you can't pull more OHLC data..)
class DataThrottle(BrokerError):
'''
Broker throttled request rate for data.
'''
# TODO: add in throttle metrics/feedback
def resproc(
@ -50,12 +84,12 @@ def resproc(
if not resp.status_code == 200:
raise BrokerError(resp.body)
try:
json = resp.json()
msg = resp.json()
except json.decoder.JSONDecodeError:
log.exception(f"Failed to process {resp}:\n{resp.text}")
raise BrokerError(resp.text)
if log_resp:
log.debug(f"Received json contents:\n{colorize_json(json)}")
log.debug(f"Received json contents:\n{colorize_json(msg)}")
return json if return_json else resp
return msg if return_json else resp

View File

@ -19,6 +19,7 @@ Binance backend
"""
from contextlib import asynccontextmanager as acm
from datetime import datetime
from typing import (
Any, Union, Optional,
AsyncGenerator, Callable,
@ -221,20 +222,22 @@ class Client:
async def bars(
self,
symbol: str,
start_time: int = None,
end_time: int = None,
start_dt: Optional[datetime] = None,
end_dt: Optional[datetime] = None,
limit: int = 1000, # <- max allowed per query
as_np: bool = True,
) -> dict:
if start_time is None:
start_time = binance_timestamp(
pendulum.now('UTC').start_of('minute').subtract(minutes=limit)
)
if end_dt is None:
end_dt = pendulum.now('UTC')
if end_time is None:
end_time = binance_timestamp(pendulum.now('UTC'))
if start_dt is None:
start_dt = end_dt.start_of(
'minute').subtract(minutes=limit)
start_time = binance_timestamp(start_dt)
end_time = binance_timestamp(end_dt)
# https://binance-docs.github.io/apidocs/spot/en/#kline-candlestick-data
bars = await self._api(
@ -379,7 +382,27 @@ async def open_history_client(
# TODO implement history getter for the new storage layer.
async with open_cached_client('binance') as client:
yield client
async def get_ohlc(
end_dt: Optional[datetime] = None,
start_dt: Optional[datetime] = None,
) -> tuple[
np.ndarray,
datetime, # start
datetime, # end
]:
array = await client.bars(
symbol,
start_dt=start_dt,
end_dt=end_dt,
)
start_dt = pendulum.from_timestamp(array[0]['time'])
end_dt = pendulum.from_timestamp(array[-1]['time'])
return array, start_dt, end_dt
yield get_ohlc, {'erlangs': 3, 'rate': 3}
async def backfill_bars(
@ -429,8 +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'] = syminfo.filters[0]['tickSize']
si['lot_tick_size'] = syminfo.filters[2]['stepSize']
si['price_tick_size'] = float(syminfo.filters[0]['tickSize'])
si['lot_tick_size'] = float(syminfo.filters[2]['stepSize'])
si['asset_type'] = 'crypto'
symbol = symbols[0]

View File

@ -23,7 +23,6 @@ from operator import attrgetter
from operator import itemgetter
import click
import pandas as pd
import trio
import tractor
@ -47,8 +46,10 @@ _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]
@ -79,13 +80,13 @@ 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, df_output):
"""Print symbol quotes to the console
"""
def quote(config, tickers):
'''
Print symbol quotes to the console
'''
# global opts
brokermod = config['brokermods'][0]
@ -100,28 +101,19 @@ def quote(config, tickers, df_output):
if ticker not in syms:
brokermod.log.warn(f"Could not find symbol {ticker}?")
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))
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, df_output):
"""Retreive 1m bars for symbol and print on the console
"""
def bars(config, symbol, count):
'''
Retreive 1m bars for symbol and print on the console
'''
# global opts
brokermod = config['brokermods'][0]
@ -133,7 +125,7 @@ def bars(config, symbol, count, df_output):
brokermod,
symbol,
count=count,
as_np=df_output
as_np=False,
)
)
@ -141,10 +133,7 @@ def bars(config, symbol, count, df_output):
log.error(f"No quotes could be found for {symbol}?")
return
if df_output:
click.echo(pd.DataFrame(bars))
else:
click.echo(colorize_json(bars))
click.echo(colorize_json(bars))
@cli.command()
@ -156,8 +145,10 @@ def bars(config, symbol, count, df_output):
@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']
@ -195,8 +186,10 @@ 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)
@ -213,14 +206,14 @@ 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, df_output, date):
"""Retreive symbol option quotes on the console
"""
def optsquote(config, symbol, date):
'''
Retreive symbol option quotes on the console
'''
# global opts
brokermod = config['brokermods'][0]
@ -233,22 +226,17 @@ def optsquote(config, symbol, df_output, date):
log.error(f"No option quotes could be found for {symbol}?")
return
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))
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]
@ -270,8 +258,10 @@ 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']

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@ -0,0 +1,67 @@
# 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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@ -0,0 +1,590 @@
# 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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# 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

@ -20,7 +20,9 @@ Kraken backend.
'''
from contextlib import asynccontextmanager as acm
from dataclasses import asdict, field
from typing import Any, Optional, AsyncIterator, Callable
from datetime import datetime
from pprint import pformat
from typing import Any, Optional, AsyncIterator, Callable, Union
import time
from trio_typing import TaskStatus
@ -40,7 +42,13 @@ import base64
from .. import config
from .._cacheables import open_cached_client
from ._util import resproc, SymbolNotFound, BrokerError
from ._util import (
resproc,
SymbolNotFound,
BrokerError,
DataThrottle,
DataUnavailable,
)
from ..log import get_logger, get_console_log
from ..data import ShmArray
from ..data._web_bs import open_autorecon_ws, NoBsWs
@ -305,7 +313,7 @@ class Client:
action: str,
size: float,
reqid: str = None,
validate: bool = False # set True test call without a real submission
validate: bool = False # set True test call without a real submission
) -> dict:
'''
Place an order and return integer request id provided by client.
@ -391,17 +399,26 @@ class Client:
async def bars(
self,
symbol: str = 'XBTUSD',
# UTC 2017-07-02 12:53:20
since: int = None,
since: Optional[Union[int, datetime]] = None,
count: int = 720, # <- max allowed per query
as_np: bool = True,
) -> dict:
if since is None:
since = pendulum.now('UTC').start_of('minute').subtract(
minutes=count).timestamp()
elif isinstance(since, int):
since = pendulum.from_timestamp(since).timestamp()
else: # presumably a pendulum datetime
since = since.timestamp()
# UTC 2017-07-02 12:53:20 is oldest seconds value
since = str(max(1499000000, since))
since = str(max(1499000000, int(since)))
json = await self._public(
'OHLC',
data={
@ -445,7 +462,16 @@ class Client:
array = np.array(new_bars, dtype=_ohlc_dtype) if as_np else bars
return array
except KeyError:
raise SymbolNotFound(json['error'][0] + f': {symbol}')
errmsg = json['error'][0]
if 'not found' in errmsg:
raise SymbolNotFound(errmsg + f': {symbol}')
elif 'Too many requests' in errmsg:
raise DataThrottle(f'{symbol}')
else:
raise BrokerError(errmsg)
@acm
@ -544,7 +570,10 @@ async def handle_order_requests(
order: BrokerdOrder
async for request_msg in ems_order_stream:
log.info(f'Received order request {request_msg}')
log.info(
'Received order request:\n'
f'{pformat(request_msg)}'
)
action = request_msg['action']
@ -603,6 +632,7 @@ 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(
@ -668,8 +698,8 @@ async def handle_order_requests(
oid=msg.oid,
reqid=msg.reqid,
symbol=msg.symbol,
# TODO: maybe figure out if pending cancels will
# eventually get cancelled
# TODO: maybe figure out if pending
# cancels will eventually get cancelled
reason="Order cancel is still pending?",
broker_details=resp
).dict()
@ -763,7 +793,10 @@ 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 (
@ -1003,7 +1036,45 @@ async def open_history_client(
# TODO implement history getter for the new storage layer.
async with open_cached_client('kraken') as client:
yield client
# lol, kraken won't send any more then the "last"
# 720 1m bars.. so we have to just ignore further
# requests of this type..
queries: int = 0
async def get_ohlc(
end_dt: Optional[datetime] = None,
start_dt: Optional[datetime] = None,
) -> tuple[
np.ndarray,
datetime, # start
datetime, # end
]:
nonlocal queries
if queries > 0:
raise DataUnavailable
count = 0
while count <= 3:
try:
array = await client.bars(
symbol,
since=end_dt,
)
count += 1
queries += 1
break
except DataThrottle:
log.warning(f'kraken OHLC throttle for {symbol}')
await trio.sleep(1)
start_dt = pendulum.from_timestamp(array[0]['time'])
end_dt = pendulum.from_timestamp(array[-1]['time'])
return array, start_dt, end_dt
yield get_ohlc, {'erlangs': 1, 'rate': 1}
async def backfill_bars(

View File

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

View File

@ -80,7 +80,9 @@ def mk_check(
return check_lt
raise ValueError('trigger: {trigger_price}, last: {known_last}')
raise ValueError(
f'trigger: {trigger_price}, last: {known_last}'
)
@dataclass
@ -561,7 +563,10 @@ async def translate_and_relay_brokerd_events(
name = brokerd_msg['name']
log.info(f'Received broker trade event:\n{pformat(brokerd_msg)}')
log.info(
f'Received broker trade event:\n'
f'{pformat(brokerd_msg)}'
)
if name == 'position':
@ -613,19 +618,28 @@ 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']
else:
elif ext:
# 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)
ext = brokerd_msg['broker_details'].get('external')
if ext:
log.error(f"External trade event {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)
@ -823,7 +837,9 @@ async def process_client_order_cmds(
if reqid:
# send cancel to brokerd immediately!
log.info("Submitting cancel for live order {reqid}")
log.info(
f'Submitting cancel for live order {reqid}'
)
await brokerd_order_stream.send(msg.dict())

View File

@ -1,7 +1,25 @@
"""
# 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
@ -16,29 +34,22 @@ from .. import config
log = get_logger('cli')
DEFAULT_BROKER = 'questrade'
_config_dir = click.get_app_dir('piker')
_watchlists_data_path = os.path.join(_config_dir, 'watchlists.json')
_context_defaults = dict(
default_map={
# Questrade specific quote poll rates
'monitor': {
'rate': 3,
},
'optschain': {
'rate': 1,
},
}
)
@click.command()
@click.option('--loglevel', '-l', default='warning', help='Logging level')
@click.option('--tl', is_flag=True, help='Enable tractor logging')
@click.option('--pdb', is_flag=True, help='Enable tractor debug mode')
@click.option('--host', '-h', default='127.0.0.1', help='Host address to bind')
def pikerd(loglevel, host, tl, pdb):
"""Spawn the piker broker-daemon.
"""
@click.option(
'--tsdb',
is_flag=True,
help='Enable local ``marketstore`` instance'
)
def pikerd(loglevel, host, tl, pdb, tsdb):
'''
Spawn the piker broker-daemon.
'''
from .._daemon import open_pikerd
log = get_console_log(loglevel)
@ -52,13 +63,38 @@ def pikerd(loglevel, host, tl, pdb):
))
async def main():
async with open_pikerd(loglevel=loglevel, debug_mode=pdb):
async with (
open_pikerd(
loglevel=loglevel,
debug_mode=pdb,
), # normally delivers a ``Services`` handle
trio.open_nursery() as n,
):
if tsdb:
from piker.data._ahab import start_ahab
from piker.data.marketstore import start_marketstore
log.info('Spawning `marketstore` supervisor')
ctn_ready, config, (cid, pid) = 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 trio.sleep_forever()
trio.run(main)
@click.group(context_settings=_context_defaults)
@click.group(context_settings=config._context_defaults)
@click.option(
'--brokers', '-b',
default=[DEFAULT_BROKER],
@ -87,8 +123,8 @@ def cli(ctx, brokers, loglevel, tl, configdir):
'loglevel': loglevel,
'tractorloglevel': None,
'log': get_console_log(loglevel),
'confdir': _config_dir,
'wl_path': _watchlists_data_path,
'confdir': config._config_dir,
'wl_path': config._watchlists_data_path,
})
# allow enabling same loglevel in ``tractor`` machinery

View File

@ -1,5 +1,5 @@
# piker: trading gear for hackers
# Copyright (C) 2018-present Tyler Goodlet (in stewardship of piker0)
# Copyright (C) 2018-present Tyler Goodlet (in stewardship 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
@ -16,7 +16,10 @@
"""
Broker configuration mgmt.
"""
import platform
import sys
import os
from os.path import dirname
import shutil
@ -24,14 +27,106 @@ from typing import Optional
from bidict import bidict
import toml
import click
from .log import get_logger
log = get_logger('broker-config')
_config_dir = click.get_app_dir('piker')
_file_name = 'brokers.toml'
# taken from ``click`` since apparently they have some
# super weirdness with sigint and sudo..no clue
def get_app_dir(app_name, roaming=True, force_posix=False):
r"""Returns the config folder for the application. The default behavior
is to return whatever is most appropriate for the operating system.
To give you an idea, for an app called ``"Foo Bar"``, something like
the following folders could be returned:
Mac OS X:
``~/Library/Application Support/Foo Bar``
Mac OS X (POSIX):
``~/.foo-bar``
Unix:
``~/.config/foo-bar``
Unix (POSIX):
``~/.foo-bar``
Win XP (roaming):
``C:\Documents and Settings\<user>\Local Settings\Application Data\Foo``
Win XP (not roaming):
``C:\Documents and Settings\<user>\Application Data\Foo Bar``
Win 7 (roaming):
``C:\Users\<user>\AppData\Roaming\Foo Bar``
Win 7 (not roaming):
``C:\Users\<user>\AppData\Local\Foo Bar``
.. versionadded:: 2.0
:param app_name: the application name. This should be properly capitalized
and can contain whitespace.
:param roaming: controls if the folder should be roaming or not on Windows.
Has no affect otherwise.
:param force_posix: if this is set to `True` then on any POSIX system the
folder will be stored in the home folder with a leading
dot instead of the XDG config home or darwin's
application support folder.
"""
def _posixify(name):
return "-".join(name.split()).lower()
# if WIN:
if platform.system() == 'Windows':
key = "APPDATA" if roaming else "LOCALAPPDATA"
folder = os.environ.get(key)
if folder is None:
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))))
if sys.platform == "darwin":
return os.path.join(
os.path.expanduser("~/Library/Application Support"), app_name
)
return os.path.join(
os.environ.get("XDG_CONFIG_HOME", os.path.expanduser("~/.config")),
_posixify(app_name),
)
_config_dir = _click_config_dir = get_app_dir('piker')
_parent_user = os.environ.get('SUDO_USER')
if _parent_user:
non_root_user_dir = os.path.expanduser(
f'~{_parent_user}'
)
root = 'root'
_config_dir = (
non_root_user_dir +
_click_config_dir[
_click_config_dir.rfind(root) + len(root):
]
)
_conf_names: set[str] = {
'brokers',
'trades',
'watchlists',
}
_watchlists_data_path = os.path.join(_config_dir, 'watchlists.json')
_context_defaults = dict(
default_map={
# Questrade specific quote poll rates
'monitor': {
'rate': 3,
},
'optschain': {
'rate': 1,
},
}
)
def _override_config_dir(
@ -41,23 +136,43 @@ def _override_config_dir(
_config_dir = path
def get_broker_conf_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:
"""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
"""
return os.path.join(_config_dir, _file_name)
assert conf_name in _conf_names
fn = _conf_fn_w_ext(conf_name)
return os.path.join(
_config_dir,
fn,
)
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__)))
@ -66,16 +181,27 @@ def repodir():
def load(
conf_name: str = 'brokers',
path: str = None
) -> (dict, str):
"""Load broker config.
"""
path = path or get_broker_conf_path()
'''
Load config file by name.
'''
path = path or get_conf_path(conf_name)
if not os.path.isfile(path):
shutil.copyfile(
os.path.join(repodir(), 'config', 'brokers.toml'),
path,
fn = _conf_fn_w_ext(conf_name)
template = os.path.join(
repodir(),
'config',
fn
)
# 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}")
@ -84,13 +210,17 @@ 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_broker_conf_path()
'''
path = path or get_conf_path(name)
dirname = os.path.dirname(path)
if not os.path.isdir(dirname):
log.debug(f"Creating config dir {_config_dir}")
@ -100,7 +230,10 @@ def write(
raise ValueError(
"Watch out you're trying to write a blank config!")
log.debug(f"Writing config file {path}")
log.debug(
f"Writing config `{name}` file to:\n"
f"{path}"
)
with open(path, 'w') as cf:
return toml.dump(config, cf)
@ -130,4 +263,5 @@ def load_accounts(
# our default paper engine entry
accounts['paper'] = None
return accounts

385
piker/data/_ahab.py 100644
View File

@ -0,0 +1,385 @@
# 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/>.
'''
Supervisor for docker with included specific-image service helpers.
'''
import os
import time
from typing import (
Optional,
Callable,
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 requests.exceptions import ConnectionError, ReadTimeout
from ..log import get_logger, get_console_log
from .. import config
log = get_logger(__name__)
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,
**kwargs,
) -> docker.DockerClient:
client: Optional[docker.DockerClient] = None
try:
client = docker.DockerClient(
base_url=url,
**kwargs
) if url else docker.from_env(**kwargs)
yield client
except (
DockerException,
APIError,
) as err:
def unpack_msg(err: Exception) -> str:
args = getattr(err, 'args', None)
if args:
return args
else:
return str(err)
# could be more specific so let's check if it's just perms.
if err.args:
errs = err.args
for err in errs:
msg = unpack_msg(err)
if 'PermissionError' in msg:
raise DockerException('You dint run as root yo!')
elif 'FileNotFoundError' in msg:
raise DockerNotStarted('Did you start da service sister?')
# not perms?
raise
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}')
@tractor.context
async def open_ahabd(
ctx: tractor.Context,
endpoint: str, # ns-pointer str-msg-type
**kwargs,
) -> None:
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)
with trio.move_on_after(1):
found = await cntr.process_logs_until(start_msg)
if not found and cntr not in client.containers.list():
raise RuntimeError(
'Failed to start `marketstore` check logs deats'
)
await ctx.started((
cntr.cntr.id,
os.getpid(),
cntr_config,
))
try:
# 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()
finally:
with trio.CancelScope(shield=True):
await cntr.cancel(stop_msg)
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,
) -> None:
'''
Start a ``docker`` container supervisor with given service name.
Currently the actor calling this task should normally be started
with root permissions (until we decide to use something that doesn't
require this, like docker's rootless mode or some wrapper project) but
te root perms are de-escalated after the docker supervisor sub-actor
is started.
'''
cn_ready = trio.Event()
try:
async with tractor.open_nursery(
loglevel='runtime',
) as tn:
portal = await tn.start_actor(
service_name,
enable_modules=[__name__]
)
# TODO: we have issues with this on teardown
# where ``tractor`` tries to issue ``os.kill()``
# and hits perms errors since the root process
# doesn't any longer have root perms..
# de-escalate root perms to the original user
# after the docker supervisor actor is spawned.
if config._parent_user:
import pwd
os.setuid(
pwd.getpwnam(
config._parent_user
)[2] # named user's uid
)
async with portal.open_context(
open_ahabd,
endpoint=str(NamespacePath.from_ref(endpoint)),
) as (ctx, first):
cid, pid, cntr_config = first
task_status.started((
cn_ready,
cntr_config,
(cid, pid),
))
await trio.sleep_forever()
# since we demoted root perms in this parent
# we'll get a perms error on proc cleanup in
# ``tractor`` nursery exit. just make sure
# the child is terminated and don't raise the
# error if so.
# TODO: we could also consider adding
# a ``tractor.ZombieDetected`` or something that we could raise
# if we find the child didn't terminate.
except PermissionError:
log.warning('Failed to cancel root permsed container')
except (
trio.MultiError,
) as err:
for subexc in err.exceptions:
if isinstance(subexc, PermissionError):
log.warning('Failed to cancel root perms-ed container')
return
else:
raise

View File

@ -22,14 +22,17 @@ financial data flows.
from __future__ import annotations
from collections import Counter
import time
from typing import TYPE_CHECKING, Optional, Union
import tractor
import trio
from trio_typing import TaskStatus
from ._sharedmem import ShmArray
from ..log import get_logger
if TYPE_CHECKING:
from ._sharedmem import ShmArray
from .feed import _FeedsBus
log = get_logger(__name__)
@ -88,6 +91,7 @@ async def increment_ohlc_buffer(
total_s = 0 # total seconds counted
lowest = min(sampler.ohlcv_shms.keys())
lowest_shm = sampler.ohlcv_shms[lowest][0]
ad = lowest - 0.001
with trio.CancelScope() as cs:
@ -131,21 +135,57 @@ async def increment_ohlc_buffer(
# write to the buffer
shm.push(last)
# broadcast the buffer index step to any subscribers for
# a given sample period.
subs = sampler.subscribers.get(delay_s, ())
await broadcast(delay_s, shm=lowest_shm)
for stream in subs:
try:
await stream.send({'index': shm._last.value})
except (
trio.BrokenResourceError,
trio.ClosedResourceError
):
log.error(
f'{stream._ctx.chan.uid} dropped connection'
)
subs.remove(stream)
async def broadcast(
delay_s: int,
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.
'''
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
for stream in subs:
try:
await stream.send({
'first': first,
'last': last,
'index': last,
})
except (
trio.BrokenResourceError,
trio.ClosedResourceError
):
log.error(
f'{stream._ctx.chan.uid} dropped connection'
)
try:
subs.remove(stream)
except ValueError:
log.warning(
f'{stream._ctx.chan.uid} sub already removed!?'
)
@tractor.context
@ -180,7 +220,7 @@ 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,
@ -259,7 +299,13 @@ 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 = bus._subscribers[broker_symbol.lower()]
subs: list[
tuple[
Union[tractor.MsgStream, trio.MemorySendChannel],
tractor.Context,
Optional[float], # tick throttle in Hz
]
] = 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
@ -268,7 +314,7 @@ async def sample_and_broadcast(
bsym = f'{broker_symbol}.{brokername}'
lags: int = 0
for (stream, tick_throttle) in subs:
for (stream, ctx, tick_throttle) in subs:
try:
with trio.move_on_after(0.2) as cs:
@ -280,25 +326,41 @@ async def sample_and_broadcast(
(bsym, quote)
)
except trio.WouldBlock:
ctx = getattr(stream, '_ctx', None)
chan = ctx.chan
if ctx:
log.warning(
f'Feed overrun {bus.brokername} ->'
f'{ctx.channel.uid} !!!'
f'{chan.uid} !!!'
)
else:
key = id(stream)
overruns[key] += 1
log.warning(
f'Feed overrun {bus.brokername} -> '
f'Feed overrun {broker_symbol}'
'@{bus.brokername} -> '
f'feed @ {tick_throttle} Hz'
)
if overruns[key] > 6:
log.warning(
f'Dropping consumer {stream}'
)
await stream.aclose()
raise trio.BrokenResourceError
# 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
else:
await stream.send(
{bsym: quote}
@ -314,11 +376,12 @@ async def sample_and_broadcast(
trio.ClosedResourceError,
trio.EndOfChannel,
):
ctx = getattr(stream, '_ctx', None)
chan = ctx.chan
if ctx:
log.warning(
f'{ctx.chan.uid} dropped '
'`brokerd`-quotes-feed connection'
'Dropped `brokerd`-quotes-feed connection:\n'
f'{broker_symbol}:'
f'{ctx.cid}@{chan.uid}'
)
if tick_throttle:
assert stream._closed
@ -331,7 +394,11 @@ async def sample_and_broadcast(
try:
subs.remove((stream, tick_throttle))
except ValueError:
log.error(f'{stream} was already removed from subs!?')
log.error(
f'Stream was already removed from subs!?\n'
f'{broker_symbol}:'
f'{ctx.cid}@{chan.uid}'
)
# TODO: a less naive throttler, here's some snippets:
@ -365,7 +432,12 @@ async def uniform_rate_send(
if left_to_sleep > 0:
with trio.move_on_after(left_to_sleep) as cs:
sym, last_quote = await quote_stream.receive()
try:
sym, last_quote = await quote_stream.receive()
except trio.EndOfChannel:
log.exception(f"feed for {stream} ended?")
break
diff = time.time() - last_send
if not first_quote:
@ -438,6 +510,7 @@ 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

@ -20,9 +20,9 @@ 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
from multiprocessing import resource_tracker as mantracker
if _USE_POSIX:
from _posixshmem import shm_unlink
@ -30,6 +30,7 @@ if _USE_POSIX:
import tractor
import numpy as np
from pydantic import BaseModel
from numpy.lib import recfunctions as rfn
from ..log import get_logger
from ._source import base_iohlc_dtype
@ -40,32 +41,39 @@ log = get_logger(__name__)
# how much is probably dependent on lifestyle
_secs_in_day = int(60 * 60 * 24)
# we try for 3 times but only on a run-every-other-day kinda week.
_default_size = 10 * _secs_in_day
# we try for a buncha times, but only on a run-every-other-day kinda week.
_days_worth = 16
_default_size = _days_worth * _secs_in_day
# where to start the new data append index
_rt_buffer_start = int(9*_secs_in_day)
_rt_buffer_start = int((_days_worth - 1) * _secs_in_day)
# Tell the "resource tracker" thing to fuck off.
class ManTracker(mantracker.ResourceTracker):
def register(self, name, rtype):
pass
def cuckoff_mantracker():
def unregister(self, name, rtype):
pass
from multiprocessing import resource_tracker as mantracker
def ensure_running(self):
pass
# Tell the "resource tracker" thing to fuck off.
class ManTracker(mantracker.ResourceTracker):
def register(self, name, rtype):
pass
def unregister(self, name, rtype):
pass
def ensure_running(self):
pass
# "know your land and know your prey"
# https://www.dailymotion.com/video/x6ozzco
mantracker._resource_tracker = ManTracker()
mantracker.register = mantracker._resource_tracker.register
mantracker.ensure_running = mantracker._resource_tracker.ensure_running
# ensure_running = mantracker._resource_tracker.ensure_running
mantracker.unregister = mantracker._resource_tracker.unregister
mantracker.getfd = mantracker._resource_tracker.getfd
# "know your land and know your prey"
# https://www.dailymotion.com/video/x6ozzco
mantracker._resource_tracker = ManTracker()
mantracker.register = mantracker._resource_tracker.register
mantracker.ensure_running = mantracker._resource_tracker.ensure_running
ensure_running = mantracker._resource_tracker.ensure_running
mantracker.unregister = mantracker._resource_tracker.unregister
mantracker.getfd = mantracker._resource_tracker.getfd
cuckoff_mantracker()
class SharedInt:
@ -91,7 +99,12 @@ class SharedInt:
if _USE_POSIX:
# We manually unlink to bypass all the "resource tracker"
# nonsense meant for non-SC systems.
shm_unlink(self._shm.name)
name = self._shm.name
try:
shm_unlink(name)
except FileNotFoundError:
# might be a teardown race here?
log.warning(f'Shm for {name} already unlinked?')
class _Token(BaseModel):
@ -191,7 +204,11 @@ class ShmArray:
self._post_init: bool = False
# pushing data does not write the index (aka primary key)
self._write_fields = list(shmarr.dtype.fields.keys())[1:]
dtype = shmarr.dtype
if dtype.fields:
self._write_fields = list(shmarr.dtype.fields.keys())[1:]
else:
self._write_fields = None
# TODO: ringbuf api?
@ -237,6 +254,48 @@ class ShmArray:
return a
def ustruct(
self,
fields: Optional[list[str]] = None,
# type that all field values will be cast to
# in the returned view.
common_dtype: np.dtype = np.float,
) -> np.ndarray:
array = self._array
if fields:
selection = array[fields]
# fcount = len(fields)
else:
selection = array
# fcount = len(array.dtype.fields)
# XXX: manual ``.view()`` attempt that also doesn't work.
# uview = selection.view(
# dtype='<f16',
# ).reshape(-1, 4, order='A')
# assert len(selection) == len(uview)
u = rfn.structured_to_unstructured(
selection,
# dtype=float,
copy=True,
)
# unstruct = np.ndarray(u.shape, dtype=a.dtype, buffer=shm.buf)
# array[:] = a[:]
return u
# return ShmArray(
# shmarr=u,
# first=self._first,
# last=self._last,
# shm=self._shm
# )
def last(
self,
length: int = 1,
@ -255,6 +314,7 @@ class ShmArray:
field_map: Optional[dict[str, str]] = None,
prepend: bool = False,
update_first: bool = True,
start: Optional[int] = None,
) -> int:
@ -267,10 +327,9 @@ class ShmArray:
'''
length = len(data)
index = start if start is not None else self._last.value
if prepend:
index = self._first.value - length
index = (start or self._first.value) - length
if index < 0:
raise ValueError(
@ -278,6 +337,9 @@ class ShmArray:
f'You have passed {abs(index)} too many datums.'
)
else:
index = start if start is not None else self._last.value
end = index + length
if field_map:
@ -295,12 +357,17 @@ 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:
if prepend and update_first and length:
assert index < self._first.value
if index < self._first.value:
if (
index < self._first.value
and update_first
):
assert prepend, 'prepend=True not passed but index decreased?'
self._first.value = index
else:
elif not prepend:
self._last.value = end
self._post_init = True
@ -336,6 +403,7 @@ class ShmArray:
f"Input array has unknown field(s): {only_in_theirs}"
)
# TODO: support "silent" prepends that don't update ._first.value?
def prepend(
self,
data: np.ndarray,
@ -386,7 +454,11 @@ def open_shm_array(
create=True,
size=a.nbytes
)
array = np.ndarray(a.shape, dtype=a.dtype, buffer=shm.buf)
array = np.ndarray(
a.shape,
dtype=a.dtype,
buffer=shm.buf
)
array[:] = a[:]
array.setflags(write=int(not readonly))
@ -470,8 +542,26 @@ 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
shm = SharedMemory(name=key)
_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
shmarr = np.ndarray(
(size,),
dtype=token.dtype,

View File

@ -21,9 +21,9 @@ from __future__ import annotations
from typing import Any
import decimal
from bidict import bidict
import numpy as np
import pandas as pd
from pydantic import BaseModel, validate_arguments
from pydantic import BaseModel
# from numba import from_dtype
@ -33,7 +33,7 @@ ohlc_fields = [
('high', float),
('low', float),
('close', float),
('volume', int),
('volume', float),
('bar_wap', float),
]
@ -48,16 +48,16 @@ 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 minutes values
tf_in_1m = {
'1m': 1,
'5m': 5,
'15m': 15,
'30m': 30,
'1h': 60,
'4h': 240,
'1d': 1440,
}
# 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',
})
def mk_fqsn(
@ -127,11 +127,11 @@ def unpack_fqsn(fqsn: str) -> tuple[str, str, str]:
class Symbol(BaseModel):
"""I guess this is some kinda container thing for dealing with
'''
I guess this is some kinda container thing for dealing with
all the different meta-data formats from brokers?
Yah, i guess dats what it izz.
"""
'''
key: str
tick_size: float = 0.01
lot_tick_size: float = 0.0 # "volume" precision as min step value
@ -254,61 +254,6 @@ class Symbol(BaseModel):
return keys
def from_df(
df: pd.DataFrame,
source=None,
default_tf=None
) -> np.recarray:
"""Convert OHLC formatted ``pandas.DataFrame`` to ``numpy.recarray``.
"""
df.reset_index(inplace=True)
# hackery to convert field names
date = 'Date'
if 'date' in df.columns:
date = 'date'
# convert to POSIX time
df[date] = [d.timestamp() for d in df[date]]
# try to rename from some camel case
columns = {
'Date': 'time',
'date': 'time',
'Open': 'open',
'High': 'high',
'Low': 'low',
'Close': 'close',
'Volume': 'volume',
# most feeds are providing this over sesssion anchored
'vwap': 'bar_wap',
# XXX: ib_insync calls this the "wap of the bar"
# but no clue what is actually is...
# https://github.com/pikers/piker/issues/119#issuecomment-729120988
'average': 'bar_wap',
}
df = df.rename(columns=columns)
for name in df.columns:
# if name not in base_ohlc_dtype.names[1:]:
if name not in base_ohlc_dtype.names:
del df[name]
# TODO: it turns out column access on recarrays is actually slower:
# https://jakevdp.github.io/PythonDataScienceHandbook/02.09-structured-data-numpy.html#RecordArrays:-Structured-Arrays-with-a-Twist
# it might make sense to make these structured arrays?
array = df.to_records(index=False)
_nan_to_closest_num(array)
return array
def _nan_to_closest_num(array: np.ndarray):
"""Return interpolated values instead of NaN.

View File

@ -16,26 +16,34 @@
"""
marketstore cli.
"""
from typing import List
from functools import partial
from pprint import pformat
from anyio_marketstore import open_marketstore_client
import trio
import tractor
import click
import numpy as np
from .marketstore import (
get_client,
stream_quotes,
# stream_quotes,
ingest_quote_stream,
_url,
# _url,
_tick_tbk_ids,
mk_tbk,
)
from ..cli import cli
from .. import watchlists as wl
from ..log import get_logger
from ._sharedmem import (
maybe_open_shm_array,
)
from ._source import (
base_iohlc_dtype,
)
log = get_logger(__name__)
@ -49,51 +57,58 @@ log = get_logger(__name__)
)
@click.argument('names', nargs=-1)
@click.pass_obj
def ms_stream(config: dict, names: List[str], url: str):
"""Connect to a marketstore time bucket stream for (a set of) symbols(s)
def ms_stream(
config: dict,
names: list[str],
url: str,
) -> None:
'''
Connect to a marketstore time bucket stream for (a set of) symbols(s)
and print to console.
"""
'''
async def main():
async for quote in stream_quotes(symbols=names):
log.info(f"Received quote:\n{quote}")
# async for quote in stream_quotes(symbols=names):
# log.info(f"Received quote:\n{quote}")
...
trio.run(main)
@cli.command()
@click.option(
'--url',
default=_url,
help='HTTP URL of marketstore instance'
)
@click.argument('names', nargs=-1)
@click.pass_obj
def ms_destroy(config: dict, names: List[str], url: str) -> None:
"""Destroy symbol entries in the local marketstore instance.
"""
async def main():
nonlocal names
async with get_client(url) as client:
if not names:
names = await client.list_symbols()
# default is to wipe db entirely.
answer = input(
"This will entirely wipe you local marketstore db @ "
f"{url} of the following symbols:\n {pformat(names)}"
"\n\nDelete [N/y]?\n")
if answer == 'y':
for sym in names:
# tbk = _tick_tbk.format(sym)
tbk = tuple(sym, *_tick_tbk_ids)
print(f"Destroying {tbk}..")
await client.destroy(mk_tbk(tbk))
else:
print("Nothing deleted.")
tractor.run(main)
# @cli.command()
# @click.option(
# '--url',
# default=_url,
# help='HTTP URL of marketstore instance'
# )
# @click.argument('names', nargs=-1)
# @click.pass_obj
# def ms_destroy(config: dict, names: list[str], url: str) -> None:
# """Destroy symbol entries in the local marketstore instance.
# """
# async def main():
# nonlocal names
# async with get_client(url) as client:
#
# if not names:
# names = await client.list_symbols()
#
# # default is to wipe db entirely.
# answer = input(
# "This will entirely wipe you local marketstore db @ "
# f"{url} of the following symbols:\n {pformat(names)}"
# "\n\nDelete [N/y]?\n")
#
# if answer == 'y':
# for sym in names:
# # tbk = _tick_tbk.format(sym)
# tbk = tuple(sym, *_tick_tbk_ids)
# print(f"Destroying {tbk}..")
# await client.destroy(mk_tbk(tbk))
# else:
# print("Nothing deleted.")
#
# tractor.run(main)
@cli.command()
@ -102,41 +117,53 @@ def ms_destroy(config: dict, names: List[str], url: str) -> None:
is_flag=True,
help='Enable tractor logging')
@click.option(
'--url',
default=_url,
help='HTTP URL of marketstore instance'
'--host',
default='localhost'
)
@click.argument('name', nargs=1, required=True)
@click.option(
'--port',
default=5993
)
@click.argument('symbols', nargs=-1)
@click.pass_obj
def ms_shell(config, name, tl, url):
"""Start an IPython shell ready to query the local marketstore db.
"""
async def main():
async with get_client(url) as client:
query = client.query # noqa
# TODO: write magics to query marketstore
from IPython import embed
embed()
def storesh(
config,
tl,
host,
port,
symbols: list[str],
):
'''
Start an IPython shell ready to query the local marketstore db.
tractor.run(main)
'''
from piker.data.marketstore import tsdb_history_update
from piker._daemon import open_piker_runtime
async def main():
nonlocal symbols
async with open_piker_runtime(
'storesh',
enable_modules=['piker.data._ahab'],
):
symbol = symbols[0]
await tsdb_history_update(symbol)
trio.run(main)
@cli.command()
@click.option('--test-file', '-t', help='Test quote stream file')
@click.option('--tl', is_flag=True, help='Enable tractor logging')
@click.option('--tl', is_flag=True, help='Enable tractor logging')
@click.option(
'--url',
default=_url,
help='HTTP URL of marketstore instance'
)
@click.argument('name', nargs=1, required=True)
@click.pass_obj
def ingest(config, name, test_file, tl, url):
"""Ingest real-time broker quotes and ticks to a marketstore instance.
"""
def ingest(config, name, test_file, tl):
'''
Ingest real-time broker quotes and ticks to a marketstore instance.
'''
# global opts
brokermod = config['brokermod']
loglevel = config['loglevel']
tractorloglevel = config['tractorloglevel']
# log = config['log']
@ -145,15 +172,25 @@ def ingest(config, name, test_file, tl, url):
watchlists = wl.merge_watchlist(watchlist_from_file, wl._builtins)
symbols = watchlists[name]
tractor.run(
partial(
ingest_quote_stream,
symbols,
brokermod.name,
tries=1,
loglevel=loglevel,
),
name='ingest_marketstore',
loglevel=tractorloglevel,
debug_mode=True,
)
grouped_syms = {}
for sym in symbols:
symbol, _, provider = sym.rpartition('.')
if provider not in grouped_syms:
grouped_syms[provider] = []
grouped_syms[provider].append(symbol)
async def entry_point():
async with tractor.open_nursery() as n:
for provider, symbols in grouped_syms.items():
await n.run_in_actor(
ingest_quote_stream,
name='ingest_marketstore',
symbols=symbols,
brokername=provider,
tries=1,
actorloglevel=loglevel,
loglevel=tractorloglevel
)
tractor.run(entry_point)

View File

@ -20,27 +20,38 @@ Data feed apis and infra.
This module is enabled for ``brokerd`` daemons.
"""
from __future__ import annotations
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 .._cacheables import maybe_open_context
from ..calc import humanize
from ..log import get_logger, get_console_log
from .._daemon import (
maybe_spawn_brokerd,
check_for_service,
)
from ._sharedmem import (
maybe_open_shm_array,
@ -56,12 +67,19 @@ from ._source import (
from ..ui import _search
from ._sampling import (
sampler,
broadcast,
increment_ohlc_buffer,
iter_ohlc_periods,
sample_and_broadcast,
uniform_rate_send,
)
from ..brokers._util import (
NoData,
DataUnavailable,
)
if TYPE_CHECKING:
from .marketstore import Storage
log = get_logger(__name__)
@ -99,7 +117,13 @@ class _FeedsBus(BaseModel):
# https://github.com/samuelcolvin/pydantic/issues/2816
_subscribers: dict[
str,
list[tuple[tractor.MsgStream, Optional[float]]]
list[
tuple[
Union[tractor.MsgStream, trio.MemorySendChannel],
tractor.Context,
Optional[float], # tick throttle in Hz
]
]
] = {}
async def start_task(
@ -124,7 +148,7 @@ class _FeedsBus(BaseModel):
# def cancel_task(
# self,
# task: trio.lowlevel.Task
# task: trio.lowlevel.Task,
# ) -> bool:
# ...
@ -188,6 +212,451 @@ async def _setup_persistent_brokerd(
await trio.sleep_forever()
def diff_history(
array,
start_dt,
end_dt,
last_tsdb_dt: Optional[datetime] = None
) -> np.ndarray:
to_push = array
if last_tsdb_dt:
s_diff = (start_dt - last_tsdb_dt).seconds
# 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()]
log.info(
f'Pushing partial frame {to_push.size} to shm'
)
return to_push
async def start_backfill(
mod: ModuleType,
bfqsn: str,
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):
# 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,
end_dt,
last_tsdb_dt=last_tsdb_dt,
)
log.info(f'Pushing {to_push.size} to shm!')
shm.push(to_push)
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
# pull new history frames until we hit latest
# already in the tsdb or a max count.
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
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()
except NoData:
log.warning(
f'NO DATA for {frame_size_s}s frame @ {input_end_dt} ?!?'
)
return None # discard signal
except DataUnavailable as duerr:
# 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.."
)
to_push = diff_history(
array,
start_dt,
end_dt,
last_tsdb_dt=last_tsdb_dt,
)
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
else:
log.warning(
f'{ln} BARS TO PUSH after diff?!: {start_dt} -> {end_dt}'
)
return None
# initial dt index starts at the start of the first query result
idts = iter_dts(start_dt)
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)
bf_done.set()
async def manage_history(
mod: ModuleType,
bus: _FeedsBus,
@ -216,50 +685,191 @@ async def manage_history(
# we expect the sub-actor to write
readonly=False,
)
# TODO: history validation
if not opened:
raise RuntimeError(
"Persistent shm for sym was already open?!"
)
if opened:
log.info('Scanning for existing `marketstored`')
is_up = await check_for_service('marketstored')
# for now only do backfilling if no tsdb can be found
do_legacy_backfill = not is_up and opened
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:
log.info('Found existing `marketstored`')
from . import marketstore
async with marketstore.open_storage_client(
fqsn,
) as storage:
# TODO: this should be used verbatim for the pure
# shm backfiller approach below.
# start history anal and load missing new data via backend.
series, _, last_tsdb_dt = await storage.load(fqsn)
broker, symbol, expiry = unpack_fqsn(fqsn)
(
shm,
latest_start_dt,
latest_end_dt,
bf_done,
) = await bus.nursery.start(
partial(
start_backfill,
mod,
bfqsn,
shm,
last_tsdb_dt=last_tsdb_dt,
tsdb_is_up=True,
storage=storage,
)
)
# 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()
await bf_done.wait()
# 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
else:
dt_diff_s = 0
# await trio.sleep_forever()
# TODO: see if there's faster multi-field reads:
# https://numpy.org/doc/stable/user/basics.rec.html#accessing-multiple-fields
# re-index with a `time` and index field
prepend_start = shm._first.value
# sanity check on most-recent-data loading
assert prepend_start > dt_diff_s
history = list(series.values())
if history:
fastest = history[0]
to_push = fastest[:prepend_start]
shm.push(
to_push,
# insert the history pre a "days worth" of samples
# to leave some real-time buffer space at the end.
prepend=True,
# update_first=False,
# start=prepend_start,
field_map=marketstore.ohlc_key_map,
)
# load as much from storage into shm as space will
# allow according to user's shm size settings.
count = 0
end = fastest['Epoch'][0]
while shm._first.value > 0:
count += 1
series = await storage.read_ohlcv(
fqsn,
end=end,
)
history = list(series.values())
fastest = history[0]
end = fastest['Epoch'][0]
prepend_start -= len(to_push)
to_push = fastest[:prepend_start]
shm.push(
to_push,
# insert the history pre a "days worth" of samples
# to leave some real-time buffer space at the end.
prepend=True,
# update_first=False,
# start=prepend_start,
field_map=marketstore.ohlc_key_map,
)
# 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)
if count > 6:
break
log.info(f'Loaded {to_push.shape} datums from storage')
# TODO: write new data to tsdb to be ready to for next read.
if do_legacy_backfill:
# do a legacy incremental backfill from the provider.
log.info('No existing `marketstored` found..')
# start history backfill task ``backfill_bars()`` is
# a required backend func this must block until shm is
# filled with first set of ohlc bars
_ = await bus.nursery.start(mod.backfill_bars, fqsn, shm)
# yield back after client connect with filled shm
task_status.started(shm)
# indicate to caller that feed can be delivered to
# remote requesting client since we've loaded history
# data that can be used.
some_data_ready.set()
# detect sample step size for sampled historical data
times = shm.array['time']
delay_s = times[-1] - times[times != times[-1]][-1]
# begin real-time updates of shm and tsb once the feed
# goes live.
await feed_is_live.wait()
if opened:
sampler.ohlcv_shms.setdefault(delay_s, []).append(shm)
# start shm incrementing for OHLC sampling at the current
# detected sampling period if one dne.
if sampler.incrementers.get(delay_s) is None:
await bus.start_task(
increment_ohlc_buffer,
delay_s,
await bus.nursery.start(
partial(
start_backfill,
mod,
bfqsn,
shm,
)
)
# yield back after client connect with filled shm
task_status.started(shm)
# indicate to caller that feed can be delivered to
# remote requesting client since we've loaded history
# data that can be used.
some_data_ready.set()
# history retreival loop depending on user interaction and thus
# a small RPC-prot for remotely controllinlg what data is loaded
# for viewing.
await trio.sleep_forever()
async def allocate_persistent_feed(
bus: _FeedsBus,
brokername: str,
symbol: str,
loglevel: str,
start_stream: bool = True,
task_status: TaskStatus[trio.CancelScope] = trio.TASK_STATUS_IGNORED,
@ -277,6 +887,7 @@ async def allocate_persistent_feed(
- a real-time streaming task which connec
'''
# load backend module
try:
mod = get_brokermod(brokername)
except ImportError:
@ -319,7 +930,7 @@ async def allocate_persistent_feed(
manage_history,
mod,
bus,
bfqsn,
'.'.join((bfqsn, brokername)),
some_data_ready,
feed_is_live,
)
@ -333,7 +944,10 @@ async def allocate_persistent_feed(
# true fqsn
fqsn = '.'.join((bfqsn, brokername))
# add a fqsn entry that includes the ``.<broker>`` suffix
# and an entry that includes the broker-specific fqsn (including
# any new suffixes or elements as injected by the backend).
init_msg[fqsn] = msg
init_msg[bfqsn] = msg
# TODO: pretty sure we don't need this? why not just leave 1s as
# the fastest "sample period" since we'll probably always want that
@ -347,13 +961,14 @@ async def allocate_persistent_feed(
await some_data_ready.wait()
# append ``.<broker>`` suffix to each quote symbol
bsym = symbol + f'.{brokername}'
acceptable_not_fqsn_with_broker_suffix = symbol + f'.{brokername}'
generic_first_quotes = {
bsym: first_quote,
acceptable_not_fqsn_with_broker_suffix: first_quote,
fqsn: first_quote,
}
bus.feeds[symbol] = bus.feeds[fqsn] = (
bus.feeds[symbol] = bus.feeds[bfqsn] = (
init_msg,
generic_first_quotes,
)
@ -363,9 +978,25 @@ async def allocate_persistent_feed(
# task_status.started((init_msg, generic_first_quotes))
task_status.started()
# backend will indicate when real-time quotes have begun.
if not start_stream:
await trio.sleep_forever()
# begin real-time updates of shm and tsb once the feed goes live and
# the backend will indicate when real-time quotes have begun.
await feed_is_live.wait()
# start shm incrementer task for OHLC style sampling
# at the current detected step period.
times = shm.array['time']
delay_s = times[-1] - times[times != times[-1]][-1]
sampler.ohlcv_shms.setdefault(delay_s, []).append(shm)
if sampler.incrementers.get(delay_s) is None:
await bus.start_task(
increment_ohlc_buffer,
delay_s,
)
sum_tick_vlm: bool = init_msg.get(
'shm_write_opts', {}
).get('sum_tick_vlm', True)
@ -388,9 +1019,9 @@ async def open_feed_bus(
ctx: tractor.Context,
brokername: str,
symbol: 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:
@ -410,7 +1041,9 @@ async def open_feed_bus(
# TODO: check for any stale shm entries for this symbol
# (after we also group them in a nice `/dev/shm/piker/` subdir).
# ensure we are who we think we are
assert 'brokerd' in tractor.current_actor().name
servicename = tractor.current_actor().name
assert 'brokerd' in servicename
assert brokername in servicename
bus = get_feed_bus(brokername)
@ -420,7 +1053,7 @@ async def open_feed_bus(
entry = bus.feeds.get(symbol)
if entry is None:
# allocate a new actor-local stream bus which
# will persist for this `brokerd`.
# will persist for this `brokerd`'s service lifetime.
async with bus.task_lock:
await bus.nursery.start(
partial(
@ -428,13 +1061,12 @@ async def open_feed_bus(
bus=bus,
brokername=brokername,
# here we pass through the selected symbol in native
# "format" (i.e. upper vs. lowercase depending on
# provider).
symbol=symbol,
loglevel=loglevel,
start_stream=start_stream,
)
)
# TODO: we can remove this?
@ -450,7 +1082,7 @@ async def open_feed_bus(
# true fqsn
fqsn = '.'.join([bfqsn, brokername])
assert fqsn in first_quotes
assert bus.feeds[fqsn]
assert bus.feeds[bfqsn]
# broker-ambiguous symbol (provided on cli - eg. mnq.globex.ib)
bsym = symbol + f'.{brokername}'
@ -493,10 +1125,10 @@ async def open_feed_bus(
recv,
stream,
)
sub = (send, tick_throttle)
sub = (send, ctx, tick_throttle)
else:
sub = (stream, tick_throttle)
sub = (stream, ctx, tick_throttle)
subs = bus._subscribers[bfqsn]
subs.append(sub)
@ -579,10 +1211,10 @@ 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]
throttle_rate: Optional[int] = None
_trade_stream: Optional[AsyncIterator[dict[str, Any]]] = None
@ -650,7 +1282,7 @@ 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
@ -723,9 +1355,24 @@ 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

@ -14,36 +14,200 @@
# 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/>.
"""
'''
``marketstore`` integration.
- client management routines
- ticK data ingest routines
- websocket client for subscribing to write triggers
- todo: tick sequence stream-cloning for testing
- todo: docker container management automation
"""
from contextlib import asynccontextmanager
from typing import Dict, Any, List, Callable, Tuple
'''
from __future__ import annotations
from contextlib import asynccontextmanager as acm
from datetime import datetime
from pprint import pformat
from typing import (
Any,
Optional,
Union,
TYPE_CHECKING,
)
import time
from math import isnan
from bidict import bidict
import msgpack
import pyqtgraph as pg
import numpy as np
import pandas as pd
import pymarketstore as pymkts
import tractor
from trio_websocket import open_websocket_url
from anyio_marketstore import (
open_marketstore_client,
MarketstoreClient,
Params,
)
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
from ..data import open_feed
log = get_logger(__name__)
_tick_tbk_ids: Tuple[str, str] = ('1Sec', 'TICK')
# 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)
_url: str = 'http://localhost:5993/rpc'
_tick_dt = [
# these two are required for as a "primary key"
('Epoch', 'i8'),
('Nanoseconds', 'i4'),
('IsTrade', 'i1'),
('IsBid', 'i1'),
('Price', 'f4'),
('Size', 'f4')
]
_quote_dt = [
# these two are required for as a "primary key"
('Epoch', 'i8'),
@ -61,6 +225,7 @@ _quote_dt = [
# ('brokerd_ts', 'i64'),
# ('VWAP', 'f4')
]
_quote_tmp = {}.fromkeys(dict(_quote_dt).keys(), np.nan)
_tick_map = {
'Up': 1,
@ -69,31 +234,52 @@ _tick_map = {
None: np.nan,
}
_ohlcv_dt = [
# these two are required for as a "primary key"
('Epoch', 'i8'),
# ('Nanoseconds', 'i4'),
class MarketStoreError(Exception):
"Generic marketstore client error"
# ohlcv sampling
('Open', 'f4'),
('High', 'f4'),
('Low', 'f4'),
('Close', 'f4'),
('Volume', 'f4'),
]
def err_on_resp(response: dict) -> None:
"""Raise any errors found in responses from client request.
"""
responses = response['responses']
if responses is not None:
for r in responses:
err = r['error']
if err:
raise MarketStoreError(err)
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.
Converts,
``('SPY', '1Sec', 'TICK')`` -> ``"SPY/1Sec/TICK"```
'''
return '/'.join(keys)
def quote_to_marketstore_structarray(
quote: Dict[str, Any],
last_fill: str,
quote: dict[str, Any],
last_fill: Optional[float]
) -> np.array:
"""Return marketstore writeable structarray from quote ``dict``.
"""
'''
Return marketstore writeable structarray from quote ``dict``.
'''
if last_fill:
# new fill bby
now = timestamp(last_fill)
now = int(pendulum.parse(last_fill).timestamp)
else:
# this should get inserted upstream by the broker-client to
# subtract from IPC latency
@ -101,7 +287,7 @@ def quote_to_marketstore_structarray(
secs, ns = now / 10**9, now % 10**9
# pack into List[Tuple[str, Any]]
# pack into list[tuple[str, Any]]
array_input = []
# insert 'Epoch' entry first and then 'Nanoseconds'.
@ -123,146 +309,467 @@ def quote_to_marketstore_structarray(
return np.array([tuple(array_input)], dtype=_quote_dt)
def timestamp(datestr: str) -> int:
"""Return marketstore compatible 'Epoch' integer in nanoseconds
from a date formatted str.
"""
return int(pd.Timestamp(datestr).value)
def mk_tbk(keys: Tuple[str, str, str]) -> str:
"""Generate a marketstore table key from a tuple.
Converts,
``('SPY', '1Sec', 'TICK')`` -> ``"SPY/1Sec/TICK"```
"""
return '{}/' + '/'.join(keys)
class Client:
"""Async wrapper around the alpaca ``pymarketstore`` sync client.
This will server as the shell for building out a proper async client
that isn't horribly documented and un-tested..
"""
def __init__(self, url: str):
self._client = pymkts.Client(url)
async def _invoke(
self,
meth: Callable,
*args,
**kwargs,
) -> Any:
return err_on_resp(meth(*args, **kwargs))
async def destroy(
self,
tbk: Tuple[str, str, str],
) -> None:
return await self._invoke(self._client.destroy, mk_tbk(tbk))
async def list_symbols(
self,
tbk: str,
) -> List[str]:
return await self._invoke(self._client.list_symbols, mk_tbk(tbk))
async def write(
self,
symbol: str,
array: np.ndarray,
) -> None:
start = time.time()
await self._invoke(
self._client.write,
array,
_tick_tbk.format(symbol),
isvariablelength=True
)
log.debug(f"{symbol} write time (s): {time.time() - start}")
def query(
self,
symbol,
tbk: Tuple[str, str] = _tick_tbk_ids,
) -> pd.DataFrame:
# XXX: causes crash
# client.query(pymkts.Params(symbol, '*', 'OHCLV'
result = self._client.query(
pymkts.Params(symbol, *tbk),
)
return result.first().df()
@asynccontextmanager
@acm
async def get_client(
url: str = _url,
) -> Client:
yield Client(url)
host: str = 'localhost',
port: int = 5995
) -> MarketstoreClient:
'''
Load a ``anyio_marketstore`` grpc client connected
to an existing ``marketstore`` server.
'''
async with open_marketstore_client(
host,
port
) as client:
yield client
class MarketStoreError(Exception):
"Generic marketstore client error"
# def err_on_resp(response: dict) -> None:
# """Raise any errors found in responses from client request.
# """
# responses = response['responses']
# if responses is not None:
# for r in responses:
# err = r['error']
# if err:
# raise MarketStoreError(err)
# map of seconds ints to "time frame" accepted keys
tf_in_1s = bidict({
1: '1Sec',
60: '1Min',
60*5: '5Min',
60*15: '15Min',
60*30: '30Min',
60*60: '1H',
60*60*24: '1D',
})
class Storage:
'''
High level storage api for both real-time and historical ingest.
'''
def __init__(
self,
client: MarketstoreClient,
) -> None:
# TODO: eventually this should be an api/interface type that
# ensures we can support multiple tsdb backends.
self.client = client
# series' cache from tsdb reads
self._arrays: dict[str, np.ndarray] = {}
async def list_keys(self) -> list[str]:
return await self.client.list_symbols()
async def search_keys(self, pattern: str) -> list[str]:
'''
Search for time series key in the storage backend.
'''
...
async def write_ticks(self, ticks: list) -> None:
...
async def load(
self,
fqsn: str,
) -> tuple[
dict[int, np.ndarray], # timeframe (in secs) to series
Optional[datetime], # first dt
Optional[datetime], # last dt
]:
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,
)
log.info(f'Loaded tsdb history {tsdb_arrays}')
if tsdb_arrays:
fastest = list(tsdb_arrays.values())[0]
times = fastest['Epoch']
first, last = times[0], times[-1]
first_tsdb_dt, last_tsdb_dt = map(
pendulum.from_timestamp, [first, last]
)
return tsdb_arrays, first_tsdb_dt, last_tsdb_dt
async def read_ohlcv(
self,
fqsn: str,
timeframe: Optional[Union[int, str]] = None,
end: Optional[int] = None,
limit: int = int(800e3),
) -> tuple[
MarketstoreClient,
Union[dict, np.ndarray]
]:
client = self.client
syms = await client.list_symbols()
if fqsn not in syms:
return {}
tfstr = tf_in_1s[1]
params = Params(
symbols=fqsn,
timeframe=tfstr,
attrgroup='OHLCV',
end=end,
# limit_from_start=True,
# TODO: figure the max limit here given the
# ``purepc`` msg size limit of purerpc: 33554432
limit=limit,
)
if timeframe is None:
log.info(f'starting {fqsn} tsdb granularity scan..')
# loop through and try to find highest granularity
for tfstr in tf_in_1s.values():
try:
log.info(f'querying for {tfstr}@{fqsn}')
params.set('timeframe', tfstr)
result = await client.query(params)
break
except purerpc.grpclib.exceptions.UnknownError:
# XXX: this is already logged by the container and
# thus shows up through `marketstored` logs relay.
# log.warning(f'{tfstr}@{fqsn} not found')
continue
else:
return {}
else:
result = await client.query(params)
# TODO: it turns out column access on recarrays is actually slower:
# https://jakevdp.github.io/PythonDataScienceHandbook/02.09-structured-data-numpy.html#RecordArrays:-Structured-Arrays-with-a-Twist
# it might make sense to make these structured arrays?
# Fill out a `numpy` array-results map
arrays = {}
for fqsn, data_set in result.by_symbols().items():
arrays.setdefault(fqsn, {})[
tf_in_1s.inverse[data_set.timeframe]
] = data_set.array
return arrays[fqsn][timeframe] if timeframe else arrays[fqsn]
async def delete_ts(
self,
key: str,
timeframe: Optional[Union[int, str]] = None,
) -> bool:
client = self.client
syms = await client.list_symbols()
print(syms)
# if key not in syms:
# raise KeyError(f'`{fqsn}` table key not found?')
return await client.destroy(tbk=key)
async def write_ohlcv(
self,
fqsn: str,
ohlcv: np.ndarray,
append_and_duplicate: bool = True,
limit: int = int(800e3),
) -> None:
# build mkts schema compat array for writing
mkts_dt = np.dtype(_ohlcv_dt)
mkts_array = np.zeros(
len(ohlcv),
dtype=mkts_dt,
)
# copy from shm array (yes it's this easy):
# https://numpy.org/doc/stable/user/basics.rec.html#assignment-from-other-structured-arrays
mkts_array[:] = ohlcv[[
'time',
'open',
'high',
'low',
'close',
'volume',
]]
m, r = divmod(len(mkts_array), limit)
for i in range(m, 1):
to_push = mkts_array[i-1:i*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)
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(
fqsn: str,
period: Optional[Union[int, str]] = None, # in seconds
) -> tuple[Storage, dict[str, np.ndarray]]:
'''
Load a series by key and deliver in ``numpy`` struct array format.
'''
async with (
# eventually a storage backend endpoint
get_client() as client,
):
# slap on our wrapper api
yield Storage(client)
async def tsdb_history_update(
fqsn: Optional[str] = None,
) -> list[str]:
# TODO: real-time dedicated task for ensuring
# history consistency between the tsdb, shm and real-time feed..
# update sequence design notes:
# - load existing highest frequency data from mkts
# * how do we want to offer this to the UI?
# - lazy loading?
# - try to load it all and expect graphics caching/diffing
# to hide extra bits that aren't in view?
# - compute the diff between latest data from broker and shm
# * use sql api in mkts to determine where the backend should
# start querying for data?
# * append any diff with new shm length
# * determine missing (gapped) history by scanning
# * how far back do we look?
# - begin rt update ingest and aggregation
# * could start by always writing ticks to mkts instead of
# worrying about a shm queue for now.
# * we have a short list of shm queues worth groking:
# - https://github.com/pikers/piker/issues/107
# * the original data feed arch blurb:
# - https://github.com/pikers/piker/issues/98
#
profiler = pg.debug.Profiler(
disabled=False, # not pg_profile_enabled(),
delayed=False,
)
async with (
open_storage_client(fqsn) as storage,
maybe_open_feed(
[fqsn],
start_stream=False,
) as (feed, stream),
):
profiler(f'opened feed for {fqsn}')
to_append = feed.shm.array
to_prepend = None
if fqsn:
symbol = feed.symbols.get(fqsn)
if symbol:
fqsn = symbol.front_fqsn()
# diff db history with shm and only write the missing portions
ohlcv = feed.shm.array
# TODO: use pg profiler
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]]
profiler('Finished db arrays diffs')
syms = await storage.client.list_symbols()
log.info(f'Existing tsdb symbol set:\n{pformat(syms)}')
profiler(f'listed symbols {syms}')
# TODO: ask if user wants to write history for detected
# available shm buffers?
from tractor.trionics import ipython_embed
await ipython_embed()
# for array in [to_append, to_prepend]:
# if array is None:
# continue
# log.info(
# f'Writing datums {array.size} -> to tsdb from shm\n'
# )
# await storage.write_ohlcv(fqsn, array)
# profiler('Finished db writes')
async def ingest_quote_stream(
symbols: List[str],
symbols: list[str],
brokername: str,
tries: int = 1,
loglevel: str = None,
) -> None:
"""Ingest a broker quote stream into marketstore in (sampled) tick format.
"""
async with open_feed(
brokername,
symbols,
loglevel=loglevel,
) as (first_quotes, qstream):
'''
Ingest a broker quote stream into a ``marketstore`` tsdb.
quote_cache = first_quotes.copy()
'''
async with (
maybe_open_feed(brokername, symbols, loglevel=loglevel) as feed,
get_client() as ms_client,
):
async for quotes in feed.stream:
log.info(quotes)
for symbol, quote in quotes.items():
for tick in quote.get('ticks', ()):
ticktype = tick.get('type', 'n/a')
async with get_client() as ms_client:
# techtonic tick write
array = quote_to_marketstore_structarray({
'IsTrade': 1 if ticktype == 'trade' else 0,
'IsBid': 1 if ticktype in ('bid', 'bsize') else 0,
'Price': tick.get('price'),
'Size': tick.get('size')
}, last_fill=quote.get('broker_ts', None))
# start ingest to marketstore
async for quotes in qstream:
log.info(quotes)
for symbol, quote in quotes.items():
await ms_client.write(array, _tick_tbk)
# remap tick strs to ints
quote['tick'] = _tick_map[quote.get('tick', 'Equal')]
# LEGACY WRITE LOOP (using old tick dt)
# quote_cache = {
# 'size': 0,
# 'tick': 0
# }
# check for volume update (i.e. did trades happen
# since last quote)
new_vol = quote.get('volume', None)
if new_vol is None:
log.debug(f"No fills for {symbol}")
if new_vol == quote_cache.get('volume'):
# should never happen due to field diffing
# on sender side
log.error(
f"{symbol}: got same volume as last quote?")
# async for quotes in qstream:
# log.info(quotes)
# for symbol, quote in quotes.items():
quote_cache.update(quote)
# # remap tick strs to ints
# quote['tick'] = _tick_map[quote.get('tick', 'Equal')]
a = quote_to_marketstore_structarray(
quote,
# TODO: check this closer to the broker query api
last_fill=quote.get('fill_time', '')
)
await ms_client.write(symbol, a)
# # check for volume update (i.e. did trades happen
# # since last quote)
# new_vol = quote.get('volume', None)
# if new_vol is None:
# log.debug(f"No fills for {symbol}")
# if new_vol == quote_cache.get('volume'):
# # should never happen due to field diffing
# # on sender side
# log.error(
# f"{symbol}: got same volume as last quote?")
# quote_cache.update(quote)
# a = quote_to_marketstore_structarray(
# quote,
# # TODO: check this closer to the broker query api
# last_fill=quote.get('fill_time', '')
# )
# await ms_client.write(symbol, a)
async def stream_quotes(
symbols: List[str],
symbols: list[str],
host: str = 'localhost',
port: int = 5993,
diff_cached: bool = True,
loglevel: str = None,
) -> None:
"""Open a symbol stream from a running instance of marketstore and
'''
Open a symbol stream from a running instance of marketstore and
log to console.
"""
'''
# XXX: required to propagate ``tractor`` loglevel to piker logging
get_console_log(loglevel or tractor.current_actor().loglevel)
tbks: Dict[str, str] = {sym: f"{sym}/*/*" for sym in symbols}
tbks: dict[str, str] = {sym: f"{sym}/*/*" for sym in symbols}
async with open_websocket_url(f'ws://{host}:{port}/ws') as ws:
# send subs topics to server
@ -271,7 +778,7 @@ async def stream_quotes(
)
log.info(resp)
async def recv() -> Dict[str, Any]:
async def recv() -> dict[str, Any]:
return msgpack.loads((await ws.get_message()), encoding='utf-8')
streams = (await recv())['streams']

View File

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

View File

@ -167,6 +167,7 @@ def _wma(
assert length == len(weights)
# lol, for long sequences this is nutso slow and expensive..
return np.convolve(signal, weights, 'valid')

View File

@ -309,7 +309,7 @@ async def flow_rates(
if period > 1:
trade_rate_wma = _wma(
dvlm_shm.array['trade_count'],
dvlm_shm.array['trade_count'][-period:],
period,
weights=weights,
)
@ -332,7 +332,7 @@ async def flow_rates(
if period > 1:
dark_trade_rate_wma = _wma(
dvlm_shm.array['dark_trade_count'],
dvlm_shm.array['dark_trade_count'][-period:],
period,
weights=weights,
)

View File

@ -25,10 +25,13 @@ 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 = 'piker'
_proj_name: str = '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 List, Tuple, Optional, Callable
from typing import Optional, Callable
from math import floor
import pandas as pd
import numpy as np
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'])
@ -218,13 +218,14 @@ class DynamicDateAxis(Axis):
def _indexes_to_timestrs(
self,
indexes: List[int],
indexes: list[int],
) -> List[str]:
) -> list[str]:
chart = self.linkedsplits.chart
bars = chart._arrays[chart.name]
shm = self.linkedsplits.chart._shm
flow = chart._flows[chart.name]
shm = flow.shm
bars = shm.array
first = shm._first.value
bars_len = len(bars)
@ -241,10 +242,17 @@ class DynamicDateAxis(Axis):
)]
# TODO: **don't** have this hard coded shift to EST
dts = pd.to_datetime(epochs, unit='s') # - 4*pd.offsets.Hour()
# delay = times[-1] - times[-2]
dts = np.array(epochs, dtype='datetime64[s]')
delay = times[-1] - times[-2]
return dts.strftime(self.tick_tpl[delay])
# 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])
def tickStrings(
self,
@ -430,7 +438,7 @@ 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
@ -444,11 +452,11 @@ class XAxisLabel(AxisLabel):
timestrs = self._parent._indexes_to_timestrs([int(value)])
if not timestrs.any():
if not len(timestrs):
return
pad = 1*' '
self.label_str = pad + timestrs[0] + pad
self.label_str = pad + str(timestrs[0]) + pad
_, y_offset = self._parent.txt_offsets()
@ -509,7 +517,7 @@ 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

@ -34,9 +34,7 @@ from PyQt5.QtWidgets import (
QVBoxLayout,
QSplitter,
)
import msgspec
import numpy as np
# from pydantic import BaseModel
import pyqtgraph as pg
import trio
@ -49,9 +47,13 @@ from ._cursor import (
Cursor,
ContentsLabel,
)
from ..data._sharedmem import ShmArray
from ._l1 import L1Labels
from ._ohlc import BarItems
from ._curve import FastAppendCurve
from ._curve import (
Curve,
StepCurve,
)
from ._style import (
hcolor,
CHART_MARGINS,
@ -60,15 +62,12 @@ from ._style import (
)
from ..data.feed import Feed
from ..data._source import Symbol
from ..data._sharedmem import (
ShmArray,
# _Token,
)
from ..log import get_logger
from ._interaction import ChartView
from ._forms import FieldsForm
from .._profile import pg_profile_enabled, ms_slower_then
from ._overlay import PlotItemOverlay
from ._flows import Flow
if TYPE_CHECKING:
from ._display import DisplayState
@ -419,7 +418,7 @@ class LinkedSplits(QWidget):
self,
symbol: Symbol,
array: np.ndarray,
shm: ShmArray,
sidepane: FieldsForm,
style: str = 'bar',
@ -444,7 +443,7 @@ class LinkedSplits(QWidget):
self.chart = self.add_plot(
name=symbol.key,
array=array,
shm=shm,
style=style,
_is_main=True,
@ -472,7 +471,7 @@ class LinkedSplits(QWidget):
self,
name: str,
array: np.ndarray,
shm: ShmArray,
array_key: Optional[str] = None,
style: str = 'line',
@ -516,7 +515,6 @@ class LinkedSplits(QWidget):
name=name,
data_key=array_key or name,
array=array,
parent=qframe,
linkedsplits=self,
axisItems=axes,
@ -580,7 +578,7 @@ class LinkedSplits(QWidget):
graphics, data_key = cpw.draw_ohlc(
name,
array,
shm,
array_key=array_key
)
self.cursor.contents_labels.add_label(
@ -594,7 +592,7 @@ class LinkedSplits(QWidget):
add_label = True
graphics, data_key = cpw.draw_curve(
name,
array,
shm,
array_key=array_key,
color='default_light',
)
@ -603,7 +601,7 @@ class LinkedSplits(QWidget):
add_label = True
graphics, data_key = cpw.draw_curve(
name,
array,
shm,
array_key=array_key,
step_mode=True,
color='davies',
@ -691,7 +689,6 @@ class ChartPlotWidget(pg.PlotWidget):
# the "data view" we generate graphics from
name: str,
array: np.ndarray,
data_key: str,
linkedsplits: LinkedSplits,
@ -744,14 +741,6 @@ class ChartPlotWidget(pg.PlotWidget):
self._max_l1_line_len: float = 0
# self.setViewportMargins(0, 0, 0, 0)
# self._ohlc = array # readonly view of ohlc data
# TODO: move to Aggr above XD
# readonly view of data arrays
self._arrays = {
self.data_key: array,
}
self._graphics = {} # registry of underlying graphics
# registry of overlay curve names
self._flows: dict[str, Flow] = {}
@ -767,7 +756,6 @@ class ChartPlotWidget(pg.PlotWidget):
# show background grid
self.showGrid(x=False, y=True, alpha=0.3)
self.default_view()
self.cv.enable_auto_yrange()
self.pi_overlay: PlotItemOverlay = PlotItemOverlay(self.plotItem)
@ -816,14 +804,8 @@ class ChartPlotWidget(pg.PlotWidget):
Return a range tuple for the bars present in view.
'''
l, r = self.view_range()
array = self._arrays[self.name]
start, stop = self._xrange = (
array[0]['index'],
array[-1]['index'],
)
lbar = max(l, start)
rbar = min(r, stop)
main_flow = self._flows[self.name]
ifirst, l, lbar, rbar, r, ilast = main_flow.datums_range()
return l, lbar, rbar, r
def curve_width_pxs(
@ -877,40 +859,51 @@ class ChartPlotWidget(pg.PlotWidget):
def default_view(
self,
steps_on_screen: Optional[int] = None
bars_from_y: int = 3000,
) -> None:
'''
Set the view box to the "default" startup view of the scene.
'''
try:
index = self._arrays[self.name]['index']
except IndexError:
log.warning(f'array for {self.name} not loaded yet?')
flow = self._flows.get(self.name)
if not flow:
log.warning(f'`Flow` for {self.name} not loaded yet?')
return
index = flow.shm.array['index']
xfirst, xlast = index[0], index[-1]
l, lbar, rbar, r = self.bars_range()
marker_pos, l1_len = self.pre_l1_xs()
end = xlast + l1_len + 1
view = self.view
if (
rbar < 0
or l < xfirst
or l < 0
or (rbar - lbar) < 6
):
# set fixed bars count on screen that approx includes as
# TODO: set fixed bars count on screen that approx includes as
# many bars as possible before a downsample line is shown.
begin = xlast - round(6116 / 6)
begin = xlast - bars_from_y
view.setXRange(
min=begin,
max=xlast,
padding=0,
)
# re-get range
l, lbar, rbar, r = self.bars_range()
else:
begin = end - (r - l)
# we get the L1 spread label "length" in view coords
# terms now that we've scaled either by user control
# or to the default set of bars as per the immediate block
# above.
marker_pos, l1_len = self.pre_l1_xs()
end = xlast + l1_len + 1
begin = end - (r - l)
# for debugging
# print(
# f'bars range: {brange}\n'
# # f'bars range: {brange}\n'
# f'xlast: {xlast}\n'
# f'marker pos: {marker_pos}\n'
# f'l1 len: {l1_len}\n'
@ -922,14 +915,13 @@ class ChartPlotWidget(pg.PlotWidget):
if self._static_yrange == 'axis':
self._static_yrange = None
view = self.view
view.setXRange(
min=begin,
max=end,
padding=0,
)
view._set_yrange()
self.view.maybe_downsample_graphics()
view._set_yrange()
try:
self.linked.graphics_cycle()
except IndexError:
@ -960,7 +952,7 @@ class ChartPlotWidget(pg.PlotWidget):
def draw_ohlc(
self,
name: str,
data: np.ndarray,
shm: ShmArray,
array_key: Optional[str] = None,
@ -980,15 +972,12 @@ class ChartPlotWidget(pg.PlotWidget):
# the np array buffer to be drawn on next render cycle
self.plotItem.addItem(graphics)
# draw after to allow self.scene() to work...
graphics.draw_from_data(data)
data_key = array_key or name
self._graphics[data_key] = graphics
self._flows[data_key] = Flow(
name=name,
plot=self.plotItem,
_shm=shm,
is_ohlc=True,
graphics=graphics,
)
@ -1058,20 +1047,21 @@ class ChartPlotWidget(pg.PlotWidget):
self,
name: str,
data: np.ndarray,
shm: ShmArray,
array_key: Optional[str] = None,
overlay: bool = False,
color: Optional[str] = None,
add_label: bool = True,
pi: Optional[pg.PlotItem] = None,
step_mode: bool = False,
**pdi_kwargs,
) -> (pg.PlotDataItem, str):
'''
Draw a "curve" (line plot graphics) for the provided data in
the input array ``data``.
the input shm array ``shm``.
'''
color = color or self.pen_color or 'default_light'
@ -1081,40 +1071,26 @@ class ChartPlotWidget(pg.PlotWidget):
data_key = array_key or name
# yah, we wrote our own B)
curve = FastAppendCurve(
y=data[data_key],
x=data['index'],
# antialias=True,
curve_type = {
None: Curve,
'step': StepCurve,
# TODO:
# 'bars': BarsItems
}['step' if step_mode else None]
curve = curve_type(
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)
# register curve graphics and backing array for name
self._graphics[name] = curve
self._arrays[data_key] = data
pi = pi or self.plotItem
self._flows[data_key] = Flow(
name=name,
plot=pi,
_shm=shm,
is_ohlc=False,
# register curve graphics with this flow
graphics=curve,
)
@ -1175,16 +1151,11 @@ class ChartPlotWidget(pg.PlotWidget):
)
return last
def update_graphics_from_array(
def update_graphics_from_flow(
self,
graphics_name: str,
array: Optional[np.ndarray] = None,
array_key: Optional[str] = None,
use_vr: bool = True,
render: bool = True,
**kwargs,
) -> pg.GraphicsObject:
@ -1192,63 +1163,11 @@ class ChartPlotWidget(pg.PlotWidget):
Update the named internal graphics from ``array``.
'''
if array is not None:
assert len(array)
data_key = array_key or graphics_name
if graphics_name not in self._flows:
data_key = self.name
if array is not None:
# write array to internal graphics table
self._arrays[data_key] = array
else:
array = self._arrays[data_key]
# array key and graphics "name" might be different..
graphics = self._graphics[graphics_name]
# compute "in-view" indices
l, lbar, rbar, r = self.bars_range()
indexes = array['index']
ifirst = indexes[0]
ilast = indexes[-1]
lbar_i = max(l, ifirst) - ifirst
rbar_i = min(r, ilast) - ifirst
# TODO: we could do it this way as well no?
# to_draw = array[lbar - ifirst:(rbar - ifirst) + 1]
in_view = array[lbar_i: rbar_i + 1]
if (
not in_view.size
or not render
):
return graphics
if isinstance(graphics, BarItems):
graphics.update_from_array(
array,
in_view,
view_range=(lbar_i, rbar_i) if use_vr else None,
**kwargs,
)
else:
graphics.update_from_array(
x=array['index'],
y=array[data_key],
x_iv=in_view['index'],
y_iv=in_view[data_key],
view_range=(lbar_i, rbar_i) if use_vr else None,
**kwargs
)
return graphics
flow = self._flows[array_key or graphics_name]
return flow.update_graphics(
array_key=array_key,
**kwargs,
)
# def _label_h(self, yhigh: float, ylow: float) -> float:
# # compute contents label "height" in view terms
@ -1295,7 +1214,7 @@ class ChartPlotWidget(pg.PlotWidget):
# TODO: this should go onto some sort of
# data-view thinger..right?
ohlc = self._shm.array
ohlc = self._flows[self.name].shm.array
# XXX: not sure why the time is so off here
# looks like we're gonna have to do some fixing..
@ -1325,7 +1244,9 @@ class ChartPlotWidget(pg.PlotWidget):
def maxmin(
self,
name: Optional[str] = None,
bars_range: Optional[tuple[int, int, int, int]] = None,
bars_range: Optional[tuple[
int, int, int, int, int, int
]] = None,
) -> tuple[float, float]:
'''
@ -1334,16 +1255,14 @@ 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()` loop cycle for: `{self.name}`',
msg=f'`{str(self)}.maxmin(name={name})`: `{self.name}`',
disabled=not pg_profile_enabled(),
gt=ms_slower_then,
ms_threshold=ms_slower_then,
delayed=True,
)
l, lbar, rbar, r = bars_range or self.bars_range()
profiler(f'{self.name} got bars range')
# TODO: here we should instead look up the ``Flow.shm.array``
# and read directly from shm to avoid copying to memory first
# and then reading it again here.
@ -1353,112 +1272,26 @@ class ChartPlotWidget(pg.PlotWidget):
flow is None
):
log.error(f"flow {flow_key} doesn't exist in chart {self.name} !?")
res = 0, 0
key = res = 0, 0
else:
(
first,
l,
lbar,
rbar,
r,
last,
) = bars_range or flow.datums_range()
profiler(f'{self.name} got bars range')
key = round(lbar), round(rbar)
res = flow.maxmin(*key)
profiler(f'yrange mxmn: {key} -> {res}')
if res == (None, None):
log.error(
f"{flow_key} no mxmn for bars_range => {key} !?"
)
res = 0, 0
profiler(f'yrange mxmn: {key} -> {res}')
return res
# class FlowsTable(pydantic.BaseModel):
# '''
# Data-AGGRegate: high level API onto multiple (categorized)
# ``Flow``s with high level processing routines for
# multi-graphics computations and display.
# '''
# flows: dict[str, np.ndarray] = {}
class Flow(msgspec.Struct): # , frozen=True):
'''
(FinancialSignal-)Flow compound type which wraps a real-time
graphics (curve) and its backing data stream together for high level
access and control.
The intention is for this type to eventually be capable of shm-passing
of incrementally updated graphics stream data between actors.
'''
name: str
plot: pg.PlotItem
is_ohlc: bool = False
graphics: pg.GraphicsObject
# TODO: hackery to be able to set a shm later
# but whilst also allowing this type to hashable,
# likely will require serializable token that is used to attach
# to the underlying shm ref after startup?
_shm: Optional[ShmArray] = None # currently, may be filled in "later"
# cache of y-range values per x-range input.
_mxmns: dict[tuple[int, int], tuple[float, float]] = {}
@property
def shm(self) -> ShmArray:
return self._shm
@shm.setter
def shm(self, shm: ShmArray) -> ShmArray:
self._shm = shm
def maxmin(
self,
lbar,
rbar,
) -> tuple[float, float]:
'''
Compute the cached max and min y-range values for a given
x-range determined by ``lbar`` and ``rbar``.
'''
rkey = (lbar, rbar)
cached_result = self._mxmns.get(rkey)
if cached_result:
return cached_result
shm = self.shm
if shm is None:
mxmn = None
else: # new block for profiling?..
arr = shm.array
# build relative indexes into shm array
# TODO: should we just add/use a method
# on the shm to do this?
ifirst = arr[0]['index']
slice_view = arr[
lbar - ifirst:
(rbar - ifirst) + 1
]
if not slice_view.size:
mxmn = None
else:
if self.is_ohlc:
ylow = np.min(slice_view['low'])
yhigh = np.max(slice_view['high'])
else:
view = slice_view[self.name]
ylow = np.min(view)
yhigh = np.max(view)
mxmn = ylow, yhigh
if mxmn is not None:
# cache new mxmn result
self._mxmns[rkey] = mxmn
return mxmn

View File

@ -138,50 +138,20 @@ 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,
# this is the width of the data in view
# in display-device-local pixel units.
px_width: int,
uppx: Optional[float] = None,
log_scale: bool = True,
# 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 ;)
xrange: Optional[float] = None,
) -> tuple[int, np.ndarray, np.ndarray]:
'''
@ -208,52 +178,49 @@ 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!'
# 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
assert px_width > 1 # width of screen in pxs?
# should never get called unless actually needed
assert uppx > 1
# NOTE: if we didn't pre-slice the data to downsample
# you could in theory pass these as the slicing params,
# do we care though since we can always just pre-slice the
# input?
x_start = x[0] # x value start/lowest in domain
x_end = x[-1] # x end value/highest in domain
if xrange is None:
x_end = x[-1] # x end value/highest in domain
xrange = (x_end - x_start)
# XXX: always round up on the input pixels
px_width = math.ceil(px_width)
# lnx = len(x)
# uppx *= max(4 / (1 + math.log(uppx, 2)), 1)
x_range = x_end - x_start
pxw = math.ceil(xrange / uppx)
# ratio of indexed x-value to width of raster in pixels.
# this is more or less, uppx: units-per-pixel.
w = x_range / float(px_width)
# scale up the frame "width" directly with uppx
w = uppx
# ensure we make more then enough
# frames (windows) for the output pixel
frames = px_width
frames = pxw
# if we have more and then exact integer's
# (uniform quotient output) worth of datum-domain-points
# per windows-frame, add one more window to ensure
# we have room for all output down-samples.
pts_per_pixel, r = divmod(len(x), frames)
pts_per_pixel, r = divmod(xrange, frames)
if r:
# while r:
frames += 1
pts_per_pixel, r = divmod(xrange, frames)
# print(
# f'uppx: {uppx}\n'
# f'xrange: {xrange}\n'
# f'pxw: {pxw}\n'
# f'frames: {frames}\n'
# )
assert frames >= (xrange / uppx)
# call into ``numba``
nb, i_win, y_out = _m4(

View File

@ -43,8 +43,8 @@ log = get_logger(__name__)
# latency (in terms of perceived lag in cross hair) so really be sure
# there's an improvement if you want to change it!
_mouse_rate_limit = 120 # TODO; should we calc current screen refresh rate?
_debounce_delay = 1 / 40
_mouse_rate_limit = 60 # TODO; should we calc current screen refresh rate?
_debounce_delay = 0
_ch_label_opac = 1
@ -98,25 +98,30 @@ 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
@ -191,6 +196,9 @@ 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/>"
@ -198,7 +206,15 @@ class ContentsLabel(pg.LabelItem):
"<b>V</b>:{}<br/>"
"<b>wap</b>:{}".format(
*array[index - first][
['open', 'high', 'low', 'close', 'volume', 'bar_wap']
[
'time',
'open',
'high',
'low',
'close',
'volume',
'bar_wap',
]
],
name=name,
index=index,
@ -243,13 +259,13 @@ class ContentsLabels:
def update_labels(
self,
index: int,
# array_name: str,
) -> None:
# for name, (label, update) in self._labels.items():
for chart, name, label, update in self._labels:
array = chart._arrays[name]
flow = chart._flows[name]
array = flow.shm.array
if not (
index >= 0
and index < array[-1]['index']
@ -258,8 +274,6 @@ class ContentsLabels:
print('WTF out of range?')
continue
# array = chart._arrays[name]
# call provided update func with data point
try:
label.show()
@ -295,7 +309,8 @@ class ContentsLabels:
class Cursor(pg.GraphicsObject):
'''Multi-plot cursor for use on a ``LinkedSplits`` chart (set).
'''
Multi-plot cursor for use on a ``LinkedSplits`` chart (set).
'''
def __init__(
@ -310,7 +325,7 @@ class Cursor(pg.GraphicsObject):
self.linked = linkedsplits
self.graphics: dict[str, pg.GraphicsObject] = {}
self.plots: List['PlotChartWidget'] = [] # type: ignore # noqa
self.plots: list['PlotChartWidget'] = [] # type: ignore # noqa
self.active_plot = None
self.digits: int = digits
self._datum_xy: tuple[int, float] = (0, 0)
@ -439,7 +454,10 @@ class Cursor(pg.GraphicsObject):
if plot.linked.xaxis_chart is plot:
xlabel = self.xaxis_label = XAxisLabel(
parent=self.plots[plot_index].getAxis('bottom'),
# parent=self.plots[plot_index].pi_overlay.get_axis(plot.plotItem, 'bottom'),
# parent=self.plots[plot_index].pi_overlay.get_axis(
# plot.plotItem, 'bottom'
# ),
opacity=_ch_label_opac,
bg_color=self.label_color,
)
@ -457,9 +475,12 @@ class Cursor(pg.GraphicsObject):
) -> LineDot:
# if this plot contains curves add line dot "cursors" to denote
# the current sample under the mouse
main_flow = plot._flows[plot.name]
# read out last index
i = main_flow.shm.array[-1]['index']
cursor = LineDot(
curve,
index=plot._arrays[plot.name][-1]['index'],
index=i,
plot=plot
)
plot.addItem(cursor)

View File

@ -18,83 +18,37 @@
Fast, smooth, sexy curves.
"""
from typing import Optional
from contextlib import contextmanager as cm
from typing import Optional, Callable
import numpy as np
import pyqtgraph as pg
from PyQt5 import QtGui, QtWidgets
from PyQt5 import 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__)
def step_path_arrays_from_1d(
x: np.ndarray,
y: np.ndarray,
include_endpoints: bool = False,
) -> (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[0] = x[0] - 0.5
x2[1] = x[0] + 0.5
x2[1:] = x[:, np.newaxis] + 0.5
# flatten to 1-d
x_out = x2.reshape(x2.size)
# 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), 2), dtype=y.dtype)
y2[:] = y[:, np.newaxis]
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 x_out[:-1], y_out[:-1]
else:
return x_out, y_out
_line_styles: dict[str, int] = {
'solid': Qt.PenStyle.SolidLine,
'dash': Qt.PenStyle.DashLine,
@ -103,24 +57,43 @@ _line_styles: dict[str, int] = {
}
class FastAppendCurve(pg.GraphicsObject):
class Curve(pg.GraphicsObject):
'''
A faster, append friendly version of ``pyqtgraph.PlotCurveItem``
built for real-time data updates.
A faster, simpler, append friendly version of
``pyqtgraph.PlotCurveItem`` built for highly customizable real-time
updates.
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.
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.
'''
# 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,
y: np.ndarray,
*args,
step_mode: bool = False,
@ -134,27 +107,25 @@ class FastAppendCurve(pg.GraphicsObject):
) -> None:
# brutaaalll, see comments within..
self._y = self.yData = y
self._x = self.xData = x
self._name = name
self.path: Optional[QtGui.QPainterPath] = None
# brutaaalll, see comments within..
self.yData = None
self.xData = None
# self._last_cap: int = 0
self.path: Optional[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[QtGui.QPainterPath] = None
self.fast_path: Optional[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._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])
@ -168,29 +139,43 @@ class FastAppendCurve(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_step_rect: Optional[QRectF] = None
# self._last_line: Optional[QLineF] = None
self._last_line = QLineF()
self._last_w: float = 1
# 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
)
# 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)
self.update()
# 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
@ -214,9 +199,6 @@ class FastAppendCurve(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)
@ -225,352 +207,10 @@ class FastAppendCurve(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,
) -> 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]
# 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
if view_range:
profiler(f'view range slice {view_range}')
# downsampling incremental state checking
uppx = self.x_uppx()
px_width = self.px_width()
uppx_diff = (uppx - self._last_uppx)
should_ds = False
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:
# 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[:-1], y_iv[:-1]
# step mode: draw flat top discrete "step"
# over the index space for each datum.
if self._step_mode:
# TODO: numba this bish
x_out, y_out = step_path_arrays_from_1d(
x_out,
y_out
)
profiler('generated step arrays')
should_redraw = True
profiler('sliced in-view array history')
# x_last = x_iv[-1]
# y_last = y_iv[-1]
self._last_vr = view_range
# self.disable_cache()
# flip_cache = True
else:
self._xrange = x[0], x[-1]
x_last = x[-1]
y_last = y[-1]
# check for downsampling conditions
if (
# std m4 downsample conditions
px_width
and uppx_diff >= 4
or uppx_diff <= -3
or self._step_mode and abs(uppx_diff) >= 4
):
log.info(
f'{self._name} sampler change: {self._last_uppx} -> {uppx}'
)
self._last_uppx = uppx
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
should_ds = False
# 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)
# no_path_yet = self.path is None
if (
self.path is None
or should_redraw
or should_ds
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:
x_out, y_out = step_path_arrays_from_1d(
x_out,
y_out,
)
# TODO: numba this bish
profiler('generated step arrays')
if should_redraw:
profiler('path reversion to non-ds')
if self.path:
self.path.clear()
if self.fast_path:
self.fast_path.clear()
if should_redraw and not should_ds:
if self._in_ds:
log.info(f'DEDOWN -> {self._name}')
self._in_ds = False
elif should_ds and px_width:
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,
)
profiler('generated fresh path')
# 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 not view_range
):
new_x = x[-append_length - 2:-1]
new_y = y[-append_length - 2:-1]
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:]
profiler('diffed append arrays')
if should_ds:
new_x, new_y = self.downsample(
new_x,
new_y,
**should_ds,
)
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,
)
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
# 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,
)
self._last_step_rect = QRectF(
x_last - 0.5, 0,
x_last + 0.5, 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[-1], y_last
)
profiler('draw last segment')
# trigger redraw of path
# do update before reverting to cache mode
# self.prepareGeometryChange()
self.update()
profiler('.update()')
# if flip_cache:
# # XXX: seems to be needed to avoid artifacts (see above).
# self.setCacheMode(QGraphicsItem.DeviceCoordinateCache)
# XXX: lol brutal, the internals of `CurvePoint` (inherited by
# our `LineDot`) required ``.getData()`` to work..
def getData(self):
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
return self.xData, self.yData
def clear(self):
'''
@ -593,25 +233,18 @@ class FastAppendCurve(pg.GraphicsObject):
# self.fast_path.clear()
self.fast_path = None
# 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...
@cm
def reset_cache(self) -> None:
self.setCacheMode(QtWidgets.QGraphicsItem.NoCache)
self.prepareGeometryChange()
yield
self.setCacheMode(QGraphicsItem.DeviceCoordinateCache)
def boundingRect(self):
'''
Compute and then cache our rect.
'''
if self.path is None:
return QtGui.QPainterPath().boundingRect()
return QPainterPath().boundingRect()
else:
# dynamically override this method after initial
# path is created to avoid requiring the above None check
@ -623,6 +256,7 @@ class FastAppendCurve(pg.GraphicsObject):
Post init ``.boundingRect()```.
'''
# hb = self.path.boundingRect()
hb = self.path.controlPointRect()
hb_size = hb.size()
@ -630,17 +264,60 @@ class FastAppendCurve(pg.GraphicsObject):
if fp:
fhb = fp.controlPointRect()
hb_size = fhb.size() + hb_size
# print(f'hb_size: {hb_size}')
w = hb_size.width() + 1
h = hb_size.height() + 1
# if self._last_step_rect:
# hb_size += self._last_step_rect.size()
# if self._line:
# br = self._last_step_rect.bottomRight()
# tl = QPointF(
# # self._vr[0],
# # hb.topLeft().y(),
# # 0,
# # hb_size.height() + 1
# )
# 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()
# br = QPointF(
# self._vr[-1],
# # tl.x() + w,
# tl.y() + h,
# )
br = QRectF(
# top left
# hb.topLeft()
# tl,
QPointF(hb.topLeft()),
# br,
# total size
# QSizeF(hb_size)
# hb_size,
QSizeF(w, h)
)
# print(f'bounding rect: {br}')
@ -648,40 +325,36 @@ class FastAppendCurve(pg.GraphicsObject):
def paint(
self,
p: QtGui.QPainter,
p: QPainter,
opt: QtWidgets.QStyleOptionGraphicsItem,
w: QtWidgets.QWidget
) -> None:
profiler = pg.debug.Profiler(
msg=f'FastAppendCurve.paint(): `{self._name}`',
msg=f'Curve.paint(): `{self._name}`',
disabled=not pg_profile_enabled(),
gt=ms_slower_then,
ms_threshold=ms_slower_then,
)
if (
self._step_mode
and self._last_step_rect
):
brush = self._brush
sub_paint = self.sub_paint
if sub_paint:
sub_paint(p, profiler)
# 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)
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)
profiler('.drawPath(path)')
profiler(f'.drawPath(path): {path.capacity()}')
fp = self.fast_path
if fp:
@ -695,3 +368,117 @@ class FastAppendCurve(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

@ -29,9 +29,10 @@ 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 (
@ -47,21 +48,22 @@ 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__)
# TODO: load this from a config.toml!
_quote_throttle_rate: int = 12 # Hz
_quote_throttle_rate: int = 22 # Hz
# a working tick-type-classes template
@ -94,28 +96,19 @@ def chart_maxmin(
Compute max and min datums "in view" for range limits.
'''
array = ohlcv_shm.array
ifirst = array[0]['index']
last_bars_range = chart.bars_range()
l, lbar, rbar, r = last_bars_range
in_view = array[lbar - ifirst:rbar - ifirst + 1]
out = chart.maxmin()
if not in_view.size:
log.warning('Resetting chart to data')
chart.default_view()
if out is None:
return (last_bars_range, 0, 0, 0)
mx, mn = (
np.nanmax(in_view['high']),
np.nanmin(in_view['low'],)
)
mn, mx = out
mx_vlm_in_view = 0
if vlm_chart:
mx_vlm_in_view = np.max(
in_view['volume']
)
out = vlm_chart.maxmin()
if out:
_, mx_vlm_in_view = out
return (
last_bars_range,
@ -270,6 +263,7 @@ 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,
@ -316,6 +310,7 @@ 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``
@ -325,9 +320,12 @@ def graphics_update_cycle(
profiler = pg.debug.Profiler(
msg=f'Graphics loop cycle for: `{chart.name}`',
disabled=True, # not pg_profile_enabled(),
gt=1/12 * 1e3,
# gt=ms_slower_then,
delayed=True,
disabled=not pg_profile_enabled(),
# disabled=True,
ms_threshold=ms_slower_then,
# ms_threshold=1/12 * 1e3,
)
# unpack multi-referenced components
@ -338,12 +336,12 @@ def graphics_update_cycle(
vars = ds.vars
tick_margin = vars['tick_margin']
update_uppx = 6
update_uppx = 16
for sym, quote in ds.quotes.items():
# compute the first available graphic's x-units-per-pixel
xpx = vlm_chart.view.x_uppx()
uppx = vlm_chart.view.x_uppx()
# NOTE: vlm may be written by the ``brokerd`` backend
# event though a tick sample is not emitted.
@ -362,26 +360,58 @@ 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('maxmin call')
liv = r > i_step # the last datum is in view
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
# 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
and xpx < 4 # chart is zoomed out very far
and r >= i_step # the last datum isn't in view
# i_diff > 0 # no new sample step
do_append
# and uppx < 4 # chart is zoomed out very far
and liv
)
or trigger_all
@ -391,61 +421,10 @@ def graphics_update_cycle(
# and then iff update curves and shift?
chart.increment_view(steps=i_diff)
if vlm_chart:
# always update y-label
ds.vlm_sticky.update_from_data(
*array[-1][['index', 'volume']]
)
if vlm_chart:
vlm_chart.increment_view(steps=i_diff)
if (
(xpx < update_uppx or i_diff > 0)
or trigger_all
and liv
):
# TODO: make it so this doesn't have to be called
# once the $vlm is up?
vlm_chart.update_graphics_from_array(
'volume',
array,
# 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():
update_fsp_chart(
vlm_chart,
flow,
curve_name,
array_key=curve_name,
)
# 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,
)
profiler('view incremented')
ticks_frame = quote.get('ticks', ())
@ -492,14 +471,20 @@ def graphics_update_cycle(
# update ohlc sampled price bars
if (
xpx < update_uppx
or i_diff > 0
do_rt_update
or do_append
or trigger_all
):
chart.update_graphics_from_array(
chart.update_graphics_from_flow(
chart.name,
array,
# do_append=uppx < update_uppx,
do_append=do_append,
)
# 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():
@ -510,8 +495,9 @@ def graphics_update_cycle(
# tick frames to determine the y-range for chart
# auto-scaling.
# TODO: we need a streaming minmax algo here, see def above.
mx = max(price + tick_margin, mx)
mn = min(price - tick_margin, mn)
if liv:
mx = max(price + tick_margin, mx)
mn = min(price - tick_margin, mn)
if typ in clear_types:
@ -534,9 +520,8 @@ def graphics_update_cycle(
if wap_in_history:
# update vwap overlay line
chart.update_graphics_from_array(
chart.update_graphics_from_flow(
'bar_wap',
array,
)
# L1 book label-line updates
@ -552,7 +537,7 @@ def graphics_update_cycle(
if (
label is not None
# and liv
and liv
):
label.update_fields(
{'level': price, 'size': size}
@ -566,7 +551,7 @@ def graphics_update_cycle(
typ in _tick_groups['asks']
# TODO: instead we could check if the price is in the
# y-view-range?
# and liv
and liv
):
l1.ask_label.update_fields({'level': price, 'size': size})
@ -574,7 +559,7 @@ def graphics_update_cycle(
typ in _tick_groups['bids']
# TODO: instead we could check if the price is in the
# y-view-range?
# and liv
and liv
):
l1.bid_label.update_fields({'level': price, 'size': size})
@ -589,6 +574,7 @@ 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
@ -599,21 +585,120 @@ 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():
# TODO: should the "main" (aka source) flow be special?
if curve_name == chart.data_key:
continue
# update any overlayed fsp flows
if curve_name != chart.data_key:
update_fsp_chart(
chart,
flow,
curve_name,
array_key=curve_name,
)
update_fsp_chart(
chart,
flow,
curve_name,
array_key=curve_name,
# 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']]
)
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,
@ -638,7 +723,7 @@ 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.. ',
@ -661,11 +746,17 @@ 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:1s '
f'step:{tf_key} '
)
linked = godwidget.linkedsplits
@ -681,32 +772,31 @@ async def display_symbol_data(
# create main OHLC chart
chart = linked.plot_ohlc_main(
symbol,
bars,
ohlcv,
sidepane=pp_pane,
)
chart.default_view()
chart._feeds[symbol.key] = feed
chart.setFocus()
# plot historical vwap if available
wap_in_history = False
if brokermod._show_wap_in_history:
# XXX: FOR SOME REASON THIS IS CAUSING HANGZ!?!
# if brokermod._show_wap_in_history:
if 'bar_wap' in bars.dtype.fields:
wap_in_history = True
chart.draw_curve(
name='bar_wap',
data=bars,
add_label=False,
)
# if 'bar_wap' in bars.dtype.fields:
# wap_in_history = True
# chart.draw_curve(
# name='bar_wap',
# shm=ohlcv,
# color='default_light',
# add_label=False,
# )
# size view to data once at outset
chart.cv._set_yrange()
# TODO: a data view api that makes this less shit
chart._shm = ohlcv
chart._flows[chart.data_key].shm = ohlcv
# NOTE: we must immediately tell Qt to show the OHLC chart
# to avoid a race where the subplots get added/shown to
# the linked set *before* the main price chart!
@ -769,6 +859,5 @@ async def display_symbol_data(
sbar._status_groups[loading_sym_key][1]()
# let the app run.. bby
chart.default_view()
# linked.graphics_cycle()
await trio.sleep_forever()

View File

@ -343,7 +343,7 @@ class SelectRect(QtGui.QGraphicsRectItem):
nbars = ixmx - ixmn + 1
chart = self._chart
data = chart._arrays[chart.name][ixmn:ixmx]
data = chart._flows[chart.name].shm.array[ixmn:ixmx]
if len(data):
std = data['close'].std()

View File

@ -49,10 +49,6 @@ 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

@ -0,0 +1,83 @@
# 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

1247
piker/ui/_flows.py 100644

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': '**account**:',
'label': '**accnt**:',
'type': 'select',
'default_value': ['paper'],
},
'size_unit': {
'label': '**allocate**:',
'label': '**alloc**:',
'type': 'select',
'default_value': [
'$ size',

View File

@ -75,6 +75,7 @@ def update_fsp_chart(
flow,
graphics_name: str,
array_key: Optional[str],
**kwargs,
) -> None:
@ -93,10 +94,10 @@ def update_fsp_chart(
# update graphics
# NOTE: this does a length check internally which allows it
# staying above the last row check below..
chart.update_graphics_from_array(
chart.update_graphics_from_flow(
graphics_name,
array,
array_key=array_key or graphics_name,
**kwargs,
)
# XXX: re: ``array_key``: fsp func names must be unique meaning we
@ -106,9 +107,6 @@ def update_fsp_chart(
# read from last calculated value and update any label
last_val_sticky = chart._ysticks.get(graphics_name)
if last_val_sticky:
# array = shm.array[array_key]
# if len(array):
# value = array[-1]
last = last_row[array_key]
last_val_sticky.update_from_data(-1, last)
@ -246,20 +244,18 @@ async def run_fsp_ui(
chart.draw_curve(
name=name,
data=shm.array,
shm=shm,
overlay=True,
color='default_light',
array_key=name,
**conf.get('chart_kwargs', {})
)
# specially store ref to shm for lookup in display loop
chart._flows[name].shm = shm
else:
# create a new sub-chart widget for this fsp
chart = linkedsplits.add_plot(
name=name,
array=shm.array,
shm=shm,
array_key=name,
sidepane=sidepane,
@ -271,12 +267,6 @@ async def run_fsp_ui(
**conf.get('chart_kwargs', {})
)
# XXX: ONLY for sub-chart fsps, overlays have their
# data looked up from the chart's internal array set.
# TODO: we must get a data view api going STAT!!
chart._shm = shm
chart._flows[chart.data_key].shm = shm
# should **not** be the same sub-chart widget
assert chart.name != linkedsplits.chart.name
@ -445,12 +435,16 @@ class FspAdmin:
# wait for graceful shutdown signal
async with stream.subscribe() as stream:
async for msg in stream:
if msg == 'update':
info = msg.get('fsp_update')
if info:
# if the chart isn't hidden try to update
# the data on screen.
if not self.linked.isHidden():
log.info(f'Re-syncing graphics for fsp: {ns_path}')
self.linked.graphics_cycle(trigger_all=True)
log.debug(f'Re-syncing graphics for fsp: {ns_path}')
self.linked.graphics_cycle(
trigger_all=True,
prepend_update_index=info['first'],
)
else:
log.info(f'recved unexpected fsp engine msg: {msg}')
@ -626,7 +620,7 @@ async def open_vlm_displays(
shm = ohlcv
chart = linked.add_plot(
name='volume',
array=shm.array,
shm=shm,
array_key='volume',
sidepane=sidepane,
@ -639,10 +633,9 @@ async def open_vlm_displays(
# the curve item internals are pretty convoluted.
style='step',
)
chart._flows['volume'].shm = ohlcv
# force 0 to always be in view
def maxmin(
def multi_maxmin(
names: list[str],
) -> tuple[float, float]:
@ -658,7 +651,7 @@ async def open_vlm_displays(
return 0, mx
chart.view.maxmin = partial(maxmin, names=['volume'])
chart.view.maxmin = partial(multi_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...
@ -666,11 +659,6 @@ async def open_vlm_displays(
# chart.hideAxis('right')
# chart.showAxis('left')
# XXX: ONLY for sub-chart fsps, overlays have their
# data looked up from the chart's internal array set.
# TODO: we must get a data view api going STAT!!
chart._shm = shm
# send back new chart to caller
task_status.started(chart)
@ -685,9 +673,9 @@ async def open_vlm_displays(
last_val_sticky.update_from_data(-1, value)
vlm_curve = chart.update_graphics_from_array(
vlm_curve = chart.update_graphics_from_flow(
'volume',
shm.array,
# shm.array,
)
# size view to data once at outset
@ -753,19 +741,20 @@ 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(
maxmin,
multi_maxmin,
# keep both regular and dark vlm in view
names=fields + dvlm_rate_fields,
names=fields,
# names=fields + dvlm_rate_fields,
)
# add custom auto range handler
@ -795,9 +784,8 @@ async def open_vlm_displays(
color = 'bracket'
curve, _ = chart.draw_curve(
# name='dolla_vlm',
name=name,
data=shm.array,
shm=shm,
array_key=name,
overlay=pi,
color=color,
@ -812,7 +800,6 @@ async def open_vlm_displays(
# ``.draw_curve()``.
flow = chart._flows[name]
assert flow.plot is pi
flow.shm = shm
chart_curves(
fields,
@ -834,11 +821,11 @@ 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?
@ -847,7 +834,9 @@ async def open_vlm_displays(
# liquidity events (well at least on low OHLC periods - 1s).
vlm_curve.hide()
chart.removeItem(vlm_curve)
chart._flows.pop('volume')
vflow = chart._flows['volume']
vflow.render = False
# avoid range sorting on volume once disabled
chart.view.disable_auto_yrange()
@ -874,7 +863,7 @@ async def open_vlm_displays(
)
# add custom auto range handler
tr_pi.vb.maxmin = partial(
maxmin,
multi_maxmin,
# keep both regular and dark vlm in view
names=trade_rate_fields,
)
@ -902,10 +891,10 @@ async def open_vlm_displays(
# built-in vlm fsps
for target, conf in {
tina_vwap: {
'overlay': 'ohlc', # overlays with OHLCV (main) chart
'anchor': 'session',
},
# tina_vwap: {
# 'overlay': 'ohlc', # overlays with OHLCV (main) chart
# 'anchor': 'session',
# },
}.items():
started = await admin.open_fsp_chart(
target,

View File

@ -20,7 +20,6 @@ Chart view box primitives
"""
from __future__ import annotations
from contextlib import asynccontextmanager
# import itertools
import time
from typing import Optional, Callable
@ -35,10 +34,9 @@ import trio
from ..log import get_logger
from .._profile import pg_profile_enabled, ms_slower_then
from ._style import _min_points_to_show
# from ._style import _min_points_to_show
from ._editors import SelectRect
from . import _event
from ._ohlc import BarItems
log = get_logger(__name__)
@ -486,15 +484,18 @@ class ChartView(ViewBox):
# don't zoom more then the min points setting
l, lbar, rbar, r = chart.bars_range()
vl = r - l
# vl = r - l
if ev.delta() > 0 and vl <= _min_points_to_show:
log.debug("Max zoom bruh...")
return
# if ev.delta() > 0 and vl <= _min_points_to_show:
# log.debug("Max zoom bruh...")
# return
if ev.delta() < 0 and vl >= len(chart._arrays[chart.name]) + 666:
log.debug("Min zoom bruh...")
return
# if (
# ev.delta() < 0
# and vl >= len(chart._flows[chart.name].shm.array) + 666
# ):
# log.debug("Min zoom bruh...")
# return
# actual scaling factor
s = 1.015 ** (ev.delta() * -1 / 20) # self.state['wheelScaleFactor'])
@ -568,11 +569,23 @@ 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)
# self._ic.set()
# self._ic = None
# self.chart.resume_all_feeds()
# 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
# just after you'll see further downsampling code run
# (pretty noticeable on the OHLC ds curve) but with this
# that never seems to happen? Only question is how much this
# "double work" is causing latency when these missing event
# fires don't happen?
self.maybe_downsample_graphics()
ev.accept()
@ -734,9 +747,8 @@ class ChartView(ViewBox):
# flag to prevent triggering sibling charts from the same linked
# set from recursion errors.
autoscale_linked_plots: bool = True,
autoscale_linked_plots: bool = False,
name: Optional[str] = None,
# autoscale_overlays: bool = False,
) -> None:
'''
@ -747,9 +759,12 @@ class ChartView(ViewBox):
data set.
'''
name = self.name
# print(f'YRANGE ON {name}')
profiler = pg.debug.Profiler(
msg=f'`ChartView._set_yrange()`: `{name}`',
disabled=not pg_profile_enabled(),
gt=ms_slower_then,
ms_threshold=ms_slower_then,
delayed=True,
)
set_range = True
@ -775,45 +790,22 @@ 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:
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:
# XXX: only compute the mxmn range
# if none is provided as input!
# flow = chart._flows[name]
yrange = self._maxmin()
if yrange is None:
log.warning(f'No yrange provided for {self.name}!?')
log.warning(f'No yrange provided for {name}!?')
print(f"WTF NO YRANGE {name}")
return
ylow, yhigh = yrange
profiler(f'maxmin(): {yrange}')
profiler(f'callback ._maxmin(): {yrange}')
# view margins: stay within a % of the "true range"
diff = yhigh - ylow
@ -830,6 +822,8 @@ class ChartView(ViewBox):
self.setYRange(ylow, yhigh)
profiler(f'set limits: {(ylow, yhigh)}')
profiler.finish()
def enable_auto_yrange(
self,
src_vb: Optional[ChartView] = None,
@ -843,17 +837,9 @@ class ChartView(ViewBox):
if src_vb is None:
src_vb = self
# such that when a linked chart changes its range
# this local view is also automatically changed and
# resized to data.
src_vb.sigXRangeChanged.connect(self._set_yrange)
# splitter(s) resizing
src_vb.sigResized.connect(self._set_yrange)
# mouse wheel doesn't emit XRangeChanged
src_vb.sigRangeChangedManually.connect(self._set_yrange)
# TODO: a smarter way to avoid calling this needlessly?
# 2 things i can think of:
# - register downsample-able graphics specially and only
@ -864,15 +850,16 @@ class ChartView(ViewBox):
self.maybe_downsample_graphics
)
def disable_auto_yrange(
self,
) -> None:
# mouse wheel doesn't emit XRangeChanged
src_vb.sigRangeChangedManually.connect(self._set_yrange)
# self._chart._static_yrange = 'axis'
# src_vb.sigXRangeChanged.connect(self._set_yrange)
# src_vb.sigXRangeChanged.connect(
# self.maybe_downsample_graphics
# )
def disable_auto_yrange(self) -> None:
self.sigXRangeChanged.disconnect(
self._set_yrange,
)
self.sigResized.disconnect(
self._set_yrange,
)
@ -883,6 +870,11 @@ class ChartView(ViewBox):
self._set_yrange,
)
# self.sigXRangeChanged.disconnect(self._set_yrange)
# self.sigXRangeChanged.disconnect(
# self.maybe_downsample_graphics
# )
def x_uppx(self) -> float:
'''
Return the "number of x units" within a single
@ -890,7 +882,7 @@ class ChartView(ViewBox):
graphics items which are our children.
'''
graphics = list(self._chart._graphics.values())
graphics = [f.graphics for f in self._chart._flows.values()]
if not graphics:
return 0
@ -901,25 +893,21 @@ class ChartView(ViewBox):
else:
return 0
def maybe_downsample_graphics(self):
uppx = self.x_uppx()
if (
# we probably want to drop this once we are "drawing in
# view" for downsampled flows..
uppx and uppx > 16
and self._ic is not None
):
# don't bother updating since we're zoomed out bigly and
# in a pan-interaction, in which case we shouldn't be
# doing view-range based rendering (at least not yet).
# print(f'{uppx} exiting early!')
return
def maybe_downsample_graphics(
self,
autoscale_overlays: bool = True,
):
profiler = pg.debug.Profiler(
msg=f'ChartView.maybe_downsample_graphics() for {self.name}',
disabled=not pg_profile_enabled(),
gt=3,
delayed=True,
# XXX: important to avoid not seeing underlying
# ``.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,
)
# TODO: a faster single-loop-iterator way of doing this XD
@ -928,19 +916,32 @@ class ChartView(ViewBox):
plots = linked.subplots | {chart.name: chart}
for chart_name, chart in plots.items():
for name, flow in chart._flows.items():
graphics = flow.graphics
use_vr = False
if isinstance(graphics, BarItems):
use_vr = True
if (
not flow.render
# XXX: super important to be aware of this.
# or not flow.graphics.isVisible()
):
continue
# pass in no array which will read and render from the last
# passed array (normally provided by the display loop.)
chart.update_graphics_from_array(
chart.update_graphics_from_flow(
name,
use_vr=use_vr,
profiler=profiler,
use_vr=True,
)
profiler(f'range change updated {chart_name}:{name}')
profiler.finish()
# 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'<{chart_name}>.update_graphics_from_flow({name})')

View File

@ -25,17 +25,13 @@ 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 numba import types as ntypes
# from ..data._source import numba_ohlc_dtype
from PyQt5.QtGui import QPainterPath
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
@ -46,7 +42,8 @@ log = get_logger(__name__)
def bar_from_ohlc_row(
row: np.ndarray,
w: float
# 0.5 is no overlap between arms, 1.0 is full overlap
w: float = 0.43
) -> tuple[QLineF]:
'''
@ -84,128 +81,11 @@ 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, # XXX: do we need this?
w: float,
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,
@ -225,388 +105,13 @@ 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._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.path = QPainterPath()
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:
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.
profiler.finish()
# print('terminating early')
return
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()
# 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()
# we expect the downsample curve report this.
return 0
def boundingRect(self):
# Qt docs: https://doc.qt.io/qt-5/qgraphicsitem.html#boundingRect
@ -630,16 +135,6 @@ 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()
@ -675,12 +170,9 @@ class BarItems(pg.GraphicsObject):
) -> None:
if self._in_ds:
return
profiler = pg.debug.Profiler(
disabled=not pg_profile_enabled(),
gt=ms_slower_then,
ms_threshold=ms_slower_then,
)
# p.setCompositionMode(0)
@ -692,13 +184,67 @@ 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)
p.drawLines(*tuple(filter(bool, self._last_bar_lines)))
profiler('draw last bar')
if self._last_bar_lines:
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()}')
# if self.fast_path:
# p.drawPath(self.fast_path)
# profiler('draw fast path')
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']

View File

@ -0,0 +1,236 @@
# 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

@ -287,7 +287,6 @@ 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

@ -30,6 +30,7 @@ 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
@ -37,6 +38,7 @@ 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
@ -46,7 +48,8 @@ from ._position import (
PositionTracker,
SettingsPane,
)
from ._label import FormatLabel
from ._forms import FieldsForm
# from ._label import FormatLabel
from ._window import MultiStatus
from ..clearing._messages import Order, BrokerdPosition
from ._forms import open_form_input_handling
@ -639,63 +642,21 @@ async def open_order_mode(
pp_tracker.hide_info()
# setup order mode sidepane widgets
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(
form: FieldsForm = chart.sidepane
form.vbox.setSpacing(
int((1 + 5/8)*_font.px_size)
)
# 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,
from ._feedstatus import mk_feed_label
feed_label = mk_feed_label(
form,
feed,
chart,
)
# XXX: we set this because?
form.feed_label = feed_label
order_pane = SettingsPane(
form=form,
# XXX: ugh, so hideous...
@ -706,6 +667,11 @@ 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})
@ -907,7 +873,9 @@ 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

@ -7,3 +7,15 @@
# 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

@ -1,5 +1,5 @@
# piker: trading gear for hackers
# Copyright (C) Tyler Goodlet (in stewardship for piker0)
# 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
@ -30,11 +30,13 @@ orig_win_id = t.find_focused().window
# for tws
win_names: list[str] = [
'Interactive Brokers', # tws running in i3
'IB Gateway.', # gw running in i3
'IB Gateway', # gw running in i3
# 'IB', # gw running in i3 (newer version?)
]
for name in win_names:
results = t.find_named(name)
results = t.find_titled(name)
print(f'results for {name}: {results}')
if results:
con = results[0]
print(f'Resetting data feed for {name}')
@ -47,22 +49,32 @@ for name in win_names:
# https://github.com/rr-/pyxdotool
# https://github.com/ShaneHutter/pyxdotool
# https://github.com/cphyc/pyxdotool
subprocess.call([
'xdotool',
'windowactivate', '--sync', win_id,
# move mouse to bottom left of window (where there should
# be nothing to click).
'mousemove_relative', '--sync', str(w-4), str(h-4),
# TODO: only run the reconnect (2nd) kc on a detected
# disconnect?
for key_combo, timeout in [
# only required if we need a connection reset.
# ('ctrl+alt+r', 12),
# data feed reset.
('ctrl+alt+f', 6)
]:
subprocess.call([
'xdotool',
'windowactivate', '--sync', win_id,
# NOTE: we may need to stick a `--retry 3` in here..
'click', '--window', win_id, '--repeat', '3', '1',
# move mouse to bottom left of window (where there should
# be nothing to click).
'mousemove_relative', '--sync', str(w-4), str(h-4),
# hackzorzes
'key', 'ctrl+alt+f',
],
timeout=1,
)
# NOTE: we may need to stick a `--retry 3` in here..
'click', '--window', win_id,
'--repeat', '3', '1',
# hackzorzes
'key', key_combo,
],
timeout=timeout,
)
# re-activate and focus original window
subprocess.call([

View File

@ -51,10 +51,14 @@ 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',
@ -65,28 +69,37 @@ setup(
'cython',
'numpy',
'numba',
'pandas',
# UI
'PyQt5',
'pyqtgraph',
'qdarkstyle >= 3.0.2',
# fuzzy search
'fuzzywuzzy[speedup]',
# 'pyqtgraph', from our fork see reqs.txt
'qdarkstyle >= 3.0.2', # themeing
'fuzzywuzzy[speedup]', # fuzzy search
# tsdbs
'pymarketstore',
# anyio-marketstore # from gh see reqs.txt
],
extras_require={
'tsdb': [
'docker',
],
},
tests_require=['pytest'],
python_requires=">=3.9", # literally for ``datetime.datetime.fromisoformat``...
keywords=["async", "trading", "finance", "quant", "charting"],
python_requires=">=3.10",
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',