Mk testing subpkg "private", `git` ignore for now

Buncha updates and improvements,
- adjust sub-namespace imports according to console warnings.
- iterate all detected screens in a loop and instead report which is the
  primary and the current.
- type annotate all vars where non-obvious, particularly the`Qt` refs.

.claude/settings.local.json

@@ -1,11 +0,0 @@
-{
-  "permissions": {
-    "allow": [
-      "Bash(chmod:*)",
-      "Bash(/tmp/piker_commits.txt)",
-      "Bash(python:*)"
-    ],
-    "deny": [],
-    "ask": []
-  }
-}

.claude/skills/commit-msg/SKILL.md

@@ -1,84 +0,0 @@
----
-name: commit-msg
-description: >
-  Generate piker-style git commit messages from
-  staged changes or prompt input, following the
-  style guide learned from 500 repo commits.
-argument-hint: "[optional-scope-or-description]"
-disable-model-invocation: true
-allowed-tools: Bash(git *), Read, Grep, Glob, Write
----
-
-## Current staged changes
-!`git diff --staged --stat`
-
-## Recent commit style reference
-!`git log --oneline -10`
-
-# Piker Git Commit Message Generator
-
-Generate a commit message from the staged diff above
-following the piker project's conventions (learned from
-analyzing 500 repo commits).
-
-If `$ARGUMENTS` is provided, use it as scope or
-description context for the commit message.
-
-For the full style guide with verb frequencies,
-section markers, abbreviations, piker-specific terms,
-and examples, see
-[style-guide-reference.md](./style-guide-reference.md).
-
-## Quick Reference
-
-- **Subject**: ~50 chars, present tense verb, use
-  backticks for code refs
-- **Body**: only for complex/multi-file changes,
-  67 char line max
-- **Section markers**: Also, / Deats, / Other,
-- **Bullets**: use `-` style
-- **Tone**: technical but casual (piker style)
-
-## Claude-code Footer
-
-When the written **patch** was assisted by
-claude-code, include:
-
-```
-(this patch was generated in some part by [`claude-code`][claude-code-gh])
-[claude-code-gh]: https://github.com/anthropics/claude-code
-```
-
-When only the **commit msg** was written by
-claude-code (human wrote the patch), use:
-```
-(this commit msg was generated in some part by [`claude-code`][claude-code-gh])
-[claude-code-gh]: https://github.com/anthropics/claude-code
-```
-
-## Output Instructions
-
-When generating a commit message:
-
-1. Analyze the staged diff (injected above via
-   dynamic context) to understand all changes.
-2. If `$ARGUMENTS` provides a scope (e.g.,
-   `.ib.feed`) or description, incorporate it into
-   the subject line.
-3. Write the subject line following verb + backtick
-   conventions from the
-   [style guide](./style-guide-reference.md).
-4. Add body only for multi-file or complex changes.
-5. Write the message to a file in the repo's
-   `.claude/` subdir with filename format:
-   `<timestamp>_<first-7-chars-of-last-commit-hash>_commit_msg.md`
-   where `<timestamp>` is from `date --iso-8601=seconds`.
-   Also write a copy to
-   `.claude/git_commit_msg_LATEST.md`
-   (overwrite if exists).
-
----
-
-**Analysis date:** 2026-01-27
-**Commits analyzed:** 500 from piker repository
-**Maintained by:** Tyler Goodlet

.claude/skills/commit-msg/style-guide-reference.md

@@ -1,262 +0,0 @@
-# Piker Git Commit Message Style Guide
-
-Learned from analyzing 500 commits from the piker repository.
-
-## Subject Line Rules
-
-### Length
-- Target: ~50 characters (avg: 50.5 chars)
-- Maximum: 67 chars (hard limit, though historical max: 146)
-- Keep concise and descriptive
-
-### Structure
-- Use present tense verbs (Add, Drop, Fix, Move, etc.)
-- 65.6% of commits use backticks for code references
-- 33.0% use colon notation (`module.file:` prefix or `: ` separator)
-
-### Opening Verbs (by frequency)
-Primary verbs to use:
-- **Add** (8.4%) - New features, files, functionality
-- **Drop** (3.2%) - Remove features, dependencies, code
-- **Fix** (2.2%) - Bug fixes, corrections
-- **Use** (2.2%) - Switch to different approach/tool
-- **Port** (2.0%) - Migrate code, adapt from elsewhere
-- **Move** (2.0%) - Relocate code, refactor structure
-- **Always** (1.8%) - Enforce consistent behavior
-- **Factor** (1.6%) - Refactoring, code organization
-- **Bump** (1.6%) - Version/dependency updates
-- **Update** (1.4%) - Modify existing functionality
-- **Adjust** (1.0%) - Fine-tune, tweak behavior
-- **Change** (1.0%) - Modify behavior or structure
-
-Casual/informal verbs (used occasionally):
-- **Woops,** (1.4%) - Fixing mistakes
-- **Lul,** (0.6%) - Humorous corrections
-
-### Code References
-Use backticks heavily for:
-- **Module/package names**: `tractor`, `pikerd`, `polars`, `ruff`
-- **Data types**: `dict`, `float`, `str`, `None`
-- **Classes**: `MktPair`, `Asset`, `Position`, `Account`, `Flume`
-- **Functions**: `dedupe()`, `push()`, `get_client()`, `norm_trade()`
-- **File paths**: `.tsp`, `.fqme`, `brokers.toml`, `conf.toml`
-- **CLI flags**: `--pdb`
-- **Error types**: `NoData`
-- **Tools**: `uv`, `uv sync`, `httpx`, `numpy`
-
-### Colon Usage Patterns
-1. **Module prefix**: `.ib.feed: trim bars frame to start_dt`
-2. **Separator**: `Add support: new feature description`
-
-### Tone
-- Technical but casual (use XD, lol, .., Woops, Lul when appropriate)
-- Direct and concise
-- Question marks rare (1.4%)
-- Exclamation marks rare (1.4%)
-
-## Body Structure
-
-### Body Frequency
-- 56.0% of commits have empty bodies (one-line commits are common)
-- Use body for complex changes requiring explanation
-
-### Bullet Lists
-- Prefer `-` bullets (16.2% of commits)
-- Rarely use `*` bullets (1.6%)
-- Indent continuation lines appropriately
-
-### Section Markers (in order of frequency)
-Use these to organize complex commit bodies:
-
-1. **Also,** (most common, 26 occurrences)
-   - Additional changes, side effects, related updates
-   - Example:
-     ```
-     Main change described in subject.
-
-     Also,
-     - related change 1
-     - related change 2
-     ```
-
-2. **Deats,** (8 occurrences)
-   - Implementation details
-   - Technical specifics
-
-3. **Further,** (4 occurrences)
-   - Additional context or future considerations
-
-4. **Other,** (3 occurrences)
-   - Miscellaneous related changes
-
-5. **Notes,** **TODO,** (rare, 1 each)
-   - Special annotations when needed
-
-### Line Length
-- Body lines: 67 character maximum
-- Break longer lines appropriately
-
-## Language Patterns
-
-### Common Abbreviations (by frequency)
-Use these freely in commit bodies:
-- **msg** (29) - message
-- **mod** (15) - module
-- **vs** (14) - versus
-- **impl** (12) - implementation
-- **deps** (11) - dependencies
-- **var** (6) - variable
-- **ctx** (6) - context
-- **bc** (5) - because
-- **obvi** (4) - obviously
-- **ep** (4) - endpoint
-- **tn** (4) - task name
-- **rn** (3) - right now
-- **sig** (3) - signal/signature
-- **env** (3) - environment
-- **tho** (3) - though
-- **fn** (2) - function
-- **iface** (2) - interface
-- **prolly** (2) - probably
-
-Less common but acceptable:
-- **dne**, **osenv**, **gonna**, **wtf**
-
-### Tone Indicators
-- **..** (77 occurrences) - Ellipsis for trailing thoughts
-- **XD** (17) - Expression of humor/irony
-- **lol** (1) - Rare, use sparingly
-
-### Informal Patterns
-- Casual contractions okay: Don't, won't
-- Lowercase starts acceptable for file prefixes
-- Direct, conversational tone
-
-## Special Patterns
-
-### Module/File Prefixes
-Common in piker commits (33.0% use colons):
-- `.ib.feed: description`
-- `.ui._remote_ctl: description`
-- `.data.tsp: description`
-- `.accounting: description`
-
-### Merge Commits
-- 4.4% of commits (standard git merges)
-- Not a primary pattern to emulate
-
-### External References
-- GitHub links occasionally used (13 total)
-- File:line references not used (0 occurrences)
-- No WIP commits in analyzed set
-
-### Claude-code Footer
-When the written **patch** was assisted by claude-code,
-include:
-
-```
-(this patch was generated in some part by [`claude-code`][claude-code-gh])
-[claude-code-gh]: https://github.com/anthropics/claude-code
-```
-
-When only the **commit msg** was written by claude-code
-(human wrote the patch), use:
-
-```
-(this commit msg was generated in some part by [`claude-code`][claude-code-gh])
-[claude-code-gh]: https://github.com/anthropics/claude-code
-```
-
-## Piker-Specific Terms
-
-### Core Components
-- `pikerd` - piker daemon
-- `brokerd` - broker daemon
-- `tractor` - actor framework used
-- `.tsp` - time series protocol/module
-- `.fqme` - fully qualified market endpoint
-
-### Data Structures
-- `MktPair` - market pair
-- `Asset` - asset representation
-- `Position` - trading position
-- `Account` - account data
-- `Flume` - data stream
-- `SymbologyCache` - symbol caching
-
-### Common Functions
-- `dedupe()` - deduplication
-- `push()` - data pushing
-- `get_client()` - client retrieval
-- `norm_trade()` - trade normalization
-- `open_trade_ledger()` - ledger opening
-- `markup_gaps()` - gap marking
-- `get_null_segs()` - null segment retrieval
-- `remote_annotate()` - remote annotation
-
-### Brokers & Integrations
-- `binance` - Binance integration
-- `.ib` - Interactive Brokers
-- `bs_mktid` - broker-specific market ID
-- `reqid` - request ID
-
-### Configuration
-- `brokers.toml` - broker configuration
-- `conf.toml` - general configuration
-
-### Development Tools
-- `ruff` - Python linter
-- `uv` / `uv sync` - package manager
-- `--pdb` - debugger flag
-- `pdbp` - debugger
-- `asyncvnc` / `pyvnc` - VNC libraries
-- `httpx` - HTTP client
-- `polars` - dataframe library
-- `rapidfuzz` - fuzzy matching
-- `numpy` - numerical library
-- `trio` - async framework
-- `asyncio` - async framework
-- `xonsh` - shell
-
-## Examples
-
-### Simple one-liner
-```
-Add `MktPair.fqme` property for symbol resolution
-```
-
-### With module prefix
-```
-.ib.feed: trim bars frame to `start_dt`
-```
-
-### Casual fix
-```
-Woops, compare against first-dt in `.ib.feed` bars frame
-```
-
-### With body using "Also,"
-```
-Drop `poetry` for `uv` in dev workflow
-
-Also,
-- update deps in `pyproject.toml`
-- add `uv sync` to CI pipeline
-- remove old `poetry.lock`
-```
-
-### With implementation details
-```
-Factor position tracking into `Position` dataclass
-
-Deats,
-- move calc logic from `brokerd` to `.accounting`
-- add `norm_trade()` helper for broker normalization
-- use `MktPair.fqme` for consistent symbol refs
-```
-
----
-
-**Analysis date:** 2026-01-27
-**Commits analyzed:** 500 from piker repository
-**Maintained by:** Tyler Goodlet

.claude/skills/piker-profiling/SKILL.md

@@ -1,171 +0,0 @@
----
-name: piker-profiling
-description: >
-  Piker's `Profiler` API for measuring performance
-  across distributed actor systems. Apply when
-  adding profiling, debugging perf regressions, or
-  optimizing hot paths in piker code.
-user-invocable: false
----
-
-# Piker Profiling Subsystem
-
-Skill for using `piker.toolz.profile.Profiler` to
-measure performance across distributed actor systems.
-
-## Core Profiler API
-
-### Basic Usage
-
-```python
-from piker.toolz.profile import (
-    Profiler,
-    pg_profile_enabled,
-    ms_slower_then,
-)
-
-profiler = Profiler(
-    msg='<description of profiled section>',
-    disabled=False,  # IMPORTANT: enable explicitly!
-    ms_threshold=0.0,  # show all timings
-)
-
-# do work
-some_operation()
-profiler('step 1 complete')
-
-# more work
-another_operation()
-profiler('step 2 complete')
-
-# prints on exit:
-# > Entering <description of profiled section>
-#   step 1 complete: 12.34, tot:12.34
-#   step 2 complete: 56.78, tot:69.12
-# < Exiting <description>, total: 69.12 ms
-```
-
-### Default Behavior Gotcha
-
-**CRITICAL:** Profiler is disabled by default in
-many contexts!
-
-```python
-# BAD: might not print anything!
-profiler = Profiler(msg='my operation')
-
-# GOOD: explicit enable
-profiler = Profiler(
-    msg='my operation',
-    disabled=False,  # force enable!
-    ms_threshold=0.0,  # show all steps
-)
-```
-
-### Profiler Output Format
-
-```
-> Entering <msg>
-  <label 1>: <delta_ms>, tot:<cumulative_ms>
-  <label 2>: <delta_ms>, tot:<cumulative_ms>
-  ...
-< Exiting <msg>, total time: <total_ms> ms
-```
-
-**Reading the output:**
-- `delta_ms` = time since previous checkpoint
-- `cumulative_ms` = time since profiler creation
-- Final total = end-to-end time
-
-## Profiling Distributed Systems
-
-Piker runs across multiple processes (actors). Each
-actor has its own log output.
-
-### Common piker actors
-- `pikerd` - main daemon process
-- `brokerd` - broker connection actor
-- `chart` - UI/graphics actor
-- Client scripts - analysis/annotation clients
-
-### Cross-Actor Profiling Strategy
-
-1. Add `Profiler` on **both** client and server
-2. Correlate timestamps from each actor's output
-3. Calculate IPC overhead = total - (client + server
-   processing)
-
-**Example correlation:**
-
-Client console:
-```
-> Entering markup_gaps() for 1285 gaps
-  initial redraw: 0.20ms, tot:0.20
-  built annotation specs: 256.48ms, tot:256.68
-  batch IPC call complete: 119.26ms, tot:375.94
-  final redraw: 0.07ms, tot:376.02
-< Exiting markup_gaps(), total: 376.04ms
-```
-
-Server console (chart actor):
-```
-> Entering Batch annotate 1285 gaps
-  `np.searchsorted()` complete!: 0.81ms, tot:0.81
-  `time_to_row` creation: 98.45ms, tot:99.28
-  created GapAnnotations item: 2.98ms, tot:102.26
-< Exiting Batch annotate, total: 104.15ms
-```
-
-**Analysis:**
-- Total client time: 376ms
-- Server processing: 104ms
-- IPC overhead + client spec building: 272ms
-- Bottleneck: client-side spec building (256ms)
-
-## Integration with PyQtGraph
-
-Some piker modules integrate with `pyqtgraph`'s
-profiling:
-
-```python
-from piker.toolz.profile import (
-    Profiler,
-    pg_profile_enabled,
-    ms_slower_then,
-)
-
-profiler = Profiler(
-    msg='Curve.paint()',
-    disabled=not pg_profile_enabled(),
-    ms_threshold=ms_slower_then,
-)
-```
-
-## Performance Expectations
-
-**Typical timings:**
-- IPC round-trip (local actors): 1-10ms
-- NumPy binary search (10k array): <1ms
-- Dict building (1k items, simple): 1-5ms
-- Qt redraw trigger: 0.1-1ms
-- Scene item removal (100s items): 10-50ms
-
-**Red flags:**
-- Linear array scan per item: 50-100ms+ for 1k
-- Dict comprehension with struct array: 50-100ms
-- Individual Qt item creation: 5ms per item
-
-## References
-
-- `piker/toolz/profile.py` - Profiler impl
-- `piker/ui/_curve.py` - FlowGraphic paint profiling
-- `piker/ui/_remote_ctl.py` - IPC handler profiling
-- `piker/tsp/_annotate.py` - Client-side profiling
-
-See [patterns.md](patterns.md) for detailed
-profiling patterns and debugging techniques.
-
----
-
-*Last updated: 2026-01-31*
-*Session: Batch gap annotation optimization*

.claude/skills/piker-profiling/patterns.md

@@ -1,228 +0,0 @@
-# Profiling Patterns
-
-Detailed profiling patterns for use with
-`piker.toolz.profile.Profiler`.
-
-## Pattern: Function Entry/Exit
-
-```python
-async def my_function():
-    profiler = Profiler(
-        msg='my_function()',
-        disabled=False,
-        ms_threshold=0.0,
-    )
-
-    step1()
-    profiler('step1')
-
-    step2()
-    profiler('step2')
-
-    # auto-prints on exit
-```
-
-## Pattern: Loop Iterations
-
-```python
-# DON'T profile inside tight loops (overhead!)
-for i in range(1000):
-    profiler(f'iteration {i}')  # NO!
-
-# DO profile around loops
-profiler = Profiler(msg='processing 1000 items')
-for i in range(1000):
-    process(item[i])
-profiler('processed all items')
-```
-
-## Pattern: Conditional Profiling
-
-```python
-# only profile when investigating specific issue
-DEBUG_REPOSITION = True
-
-def reposition(self, array):
-    if DEBUG_REPOSITION:
-        profiler = Profiler(
-            msg='GapAnnotations.reposition()',
-            disabled=False,
-        )
-
-    # ... do work
-
-    if DEBUG_REPOSITION:
-        profiler('completed reposition')
-```
-
-## Pattern: Teardown/Cleanup Profiling
-
-```python
-try:
-    # ... main work
-    pass
-finally:
-    profiler = Profiler(
-        msg='Annotation teardown',
-        disabled=False,
-        ms_threshold=0.0,
-    )
-
-    cleanup_resources()
-    profiler('resources cleaned')
-
-    close_connections()
-    profiler('connections closed')
-```
-
-## Pattern: Distributed IPC Profiling
-
-### Server-side (chart actor)
-
-```python
-# piker/ui/_remote_ctl.py
-@tractor.context
-async def remote_annotate(ctx):
-    async with ctx.open_stream() as stream:
-        async for msg in stream:
-            profiler = Profiler(
-                msg=f'Batch annotate {n} gaps',
-                disabled=False,
-                ms_threshold=0.0,
-            )
-
-            result = await handle_request(msg)
-            profiler('request handled')
-
-            await stream.send(result)
-            profiler('result sent')
-```
-
-### Client-side (analysis script)
-
-```python
-# piker/tsp/_annotate.py
-async def markup_gaps(...):
-    profiler = Profiler(
-        msg=f'markup_gaps() for {n} gaps',
-        disabled=False,
-        ms_threshold=0.0,
-    )
-
-    await actl.redraw()
-    profiler('initial redraw')
-
-    specs = build_specs(gaps)
-    profiler('built annotation specs')
-
-    # IPC round-trip!
-    result = await actl.add_batch(specs)
-    profiler('batch IPC call complete')
-
-    await actl.redraw()
-    profiler('final redraw')
-```
-
-## Common Use Cases
-
-### IPC Request/Response Timing
-
-```python
-# Client side
-profiler = Profiler(msg='Remote request')
-result = await remote_call()
-profiler('got response')
-
-# Server side (in handler)
-profiler = Profiler(msg='Handle request')
-process_request()
-profiler('request processed')
-```
-
-### Batch Operation Optimization
-
-```python
-profiler = Profiler(msg='Batch processing')
-
-items = collect_all()
-profiler(f'collected {len(items)} items')
-
-results = numpy_batch_op(items)
-profiler('numpy op complete')
-
-output = {
-    k: v for k, v in zip(keys, results)
-}
-profiler('dict built')
-```
-
-### Startup/Initialization Timing
-
-```python
-async def __aenter__(self):
-    profiler = Profiler(msg='Service startup')
-
-    await connect_to_broker()
-    profiler('broker connected')
-
-    await load_config()
-    profiler('config loaded')
-
-    await start_feeds()
-    profiler('feeds started')
-
-    return self
-```
-
-## Debugging Performance Regressions
-
-When profiler shows unexpected slowness:
-
-### 1. Add finer-grained checkpoints
-
-```python
-# was:
-result = big_function()
-profiler('big_function done')
-
-# now:
-profiler = Profiler(
-    msg='big_function internals',
-)
-step1 = part_a()
-profiler('part_a')
-step2 = part_b()
-profiler('part_b')
-step3 = part_c()
-profiler('part_c')
-```
-
-### 2. Check for hidden iterations
-
-```python
-# looks simple but might be slow!
-result = array[array['time'] == timestamp]
-profiler('array lookup')
-
-# reveals O(n) scan per call
-for ts in timestamps:  # outer loop
-    row = array[array['time'] == ts]  # O(n)!
-```
-
-### 3. Isolate IPC from computation
-
-```python
-# was: can't tell where time is spent
-result = await remote_call(data)
-profiler('remote call done')
-
-# now: separate phases
-payload = prepare_payload(data)
-profiler('payload prepared')
-
-result = await remote_call(payload)
-profiler('IPC complete')
-
-parsed = parse_result(result)
-profiler('result parsed')
-```

.claude/skills/piker-slang/SKILL.md

@@ -1,114 +0,0 @@
----
-name: piker-slang
-description: >
-  Piker developer communication style, slang, and
-  ethos. Apply when communicating with piker devs,
-  writing commit messages, code review comments, or
-  any collaborative interaction.
-user-invocable: false
----
-
-# Piker Slang & Communication Style
-
-The essential skill for fitting in with the degen
-trader-hacker class of devs who built and maintain
-`piker`.
-
-## Core Philosophy
-
-Piker devs are:
-- **Technical AF** - deep systems knowledge,
-  performance obsessed
-- **Irreverent** - don't take ourselves too
-  seriously
-- **Direct** - no corporate speak, no BS, just
-  real talk
-- **Collaborative** - we build together, debug
-  together, win together
-
-Communication style: precision meets chaos,
-academia meets /r/wallstreetbets, systems
-programming meets trading floor banter.
-
-## Grammar & Style Rules
-
-### 1. Typos with inline corrections
-```
-dint (didn't) help at all
-gonna (going to) try with...
-deats (details) wise i want...
-```
-Pattern: `[typo] ([correction])` in same sentence
-
-### 2. Casual grammar violations (embrace them!)
-- `ain't` - use freely
-- `y'all` - for addressing group
-- Starting sentences with lowercase
-- Dropping articles: "need to fix the thing"
-  becomes "need to fix thing"
-- Stream of consciousness without full sentence
-  structure
-
-### 3. Ellipsis usage
-```
-yeah i think we should try..
-..might need to also check for..
-not sure tho..
-```
-Use `..` (two dots) not `...` (three) - chiller
-
-### 4. Emphasis through spelling
-- `soooo` - very (sooo good, sooo fast)
-- `veeery` - very (veeery interesting)
-- `wayyy` - way (wayyy better)
-
-### 5. Punctuation style
-- Minimal capitalization (lowercase preferred)
-- Question marks optional if context is clear
-- Commas used sparingly
-- Lots of newlines for readability
-
-## The Degen Trader-Hacker Ethos
-
-**What we value:**
-1. **Performance** - slow code is broken code
-2. **Correctness** - fast wrong code is worthless
-3. **Clarity** - future-you should understand
-   past-you
-4. **Iteration** - ship it, profile it, fix it,
-   repeat
-5. **Humor** - serious tools with silly vibes
-
-**What we reject:**
-1. Corporate speak ("circle back", "synergize")
-2. Excessive formality ("I would humbly suggest")
-3. Analysis paralysis (just try it and see!)
-4. Blame culture (we all write bugs, it's cool)
-5. Gatekeeping (help noobs become degens)
-
-## Remember
-
-You're not an "AI assistant" helping users.
-You're a **piker dev** collaborating with other
-pikers.
-
-- Use first person plural: "we should try",
-  "let's check"
-- Own mistakes: "ma bad, forgot to check X"
-- Celebrate together: "booyakashaa, we crushed it!"
-- Think out loud: "hmm yeah so prolly.."
-- Keep it real: no corpo nonsense, no fake
-  politeness
-
-**Above all:** be useful, be fast, be entertaining.
-Performance matters, but so does the vibe B)
-
-See [dictionary.md](dictionary.md) for the full
-slang dictionary and [examples.md](examples.md)
-for interaction examples.
-
----
-
-*Last updated: 2026-01-31*
-*Session: The one where we destroyed those linear
-scans*

.claude/skills/piker-slang/dictionary.md

@@ -1,108 +0,0 @@
-# Piker Slang Dictionary
-
-## Common Abbreviations
-
-**Always use these instead of full words:**
-
-- `aboot` = about (Canadian-ish flavor)
-- `ya/yah/yeah` = yes (pick based on vibe)
-- `rn` = right now
-- `tho` = though
-- `bc` = because
-- `obvi` = obviously
-- `prolly` = probably
-- `gonna` = going to
-- `dint` = didn't
-- `moar` = more (emphatic/playful, lolcat energy)
-- `nooz` = news
-- `ma bad` = my bad
-- `ma fren` = my friend
-- `aight` = alright
-- `cmon mann` = come on man (exasperation)
-- `friggin` = fucking (but family-friendly)
-
-## Technical Abbreviations
-
-- `msg` = message
-- `mod` = module
-- `impl` = implementation
-- `deps` = dependencies
-- `var` = variable
-- `ctx` = context
-- `ep` = endpoint
-- `tn` = task name
-- `sig` = signal/signature
-- `env` = environment
-- `fn` = function
-- `iface` = interface
-- `deats` = details
-- `hilevel` = high level
-- `Bo` = a "wow expression"; a dev with "sunglasses and mouth open" emoji
-
-## Expressions & Phrases
-
-### Celebration/excitement
-- `booyakashaa` - major win, breakthrough moment
-- `eyyooo` - excitement, hype, "let's go!"
-- `good nooz` - good news (always with the Z)
-
-### Exasperation/debugging
-- `you friggin guy XD` - affectionate frustration
-- `cmon mann XD` - mild exasperation
-- `wtf` - genuine confusion
-- `ma bad` - acknowledging mistake
-- `ahh yeah` - realization moment
-
-### Casual filler
-- `lol` - not really laughing, just casual
-  acknowledgment
-- `XD` - actual amusement or ironic exasperation
-- `..` - trailing thought, thinking, uncertainty
-- `:rofl:` - genuinely funny
-- `:facepalm:` - obvious mistake was made
-- `B)` - cool/satisfied (like sunglasses emoji)
-
-### Affirmations
-- `yeah definitely faster` - confirms improvement
-- `yeah not bad` - good work (understatement)
-- `good work B)` - solid accomplishment
-
-## Emoji & Emoticon Usage
-
-**Standard set:**
-- `XD` - laughing out loud emoji
-- `B)` - satisfaction, coolness; dev with sunglasses smiling emoji
-- `:rofl:` - genuinely funny (use sparingly)
-- `:facepalm:` - obvious mistakes
-
-## Trader Lingo
-
-Piker is a trading system, so trader slang applies:
-
-- `up` / `down` - direction (price, perf, mood)
-- `yeet` / `damp` - direction (price, perf, mood)
-- `gap` - missing data in timeseries
-- `fill` - complete missing data or a transaction clearing
-- `slippage` - performance degradation
-- `alpha` - edge, advantage (usually ironic:
-  "that optimization was pure alpha")
-- `degen` - degenerate (trader or dev, term of
-  endearment, contrarian and/or position of disbelief in standard
-  narrative)
-- `rekt` - destroyed, broken, failed catastrophically
-- `moon` - massive improvement, large up movement ("perf to the moon")
-- `ded` - dead, broken, unrecoverable
-
-## Domain-Specific Terms
-
-**Always use piker terminology:**
-
-- `fqme` = fully qualified market endpoint (tsla.nasdaq.ib)
-- `viz` = (data) visualization (ex. chart graphics)
-- `shm` = shared memory (not "shared memory array")
-- `brokerd` = broker daemon actor
-- `pikerd` = root-process piker daemon
-- `annot` = annotation (not "annotation")
-- `actl` = annotation control (AnnotCtl)
-- `tf` = timeframe (usually in seconds: 60s, 1s)
-- `OHLC` / `OHLCV` - open/high/low/close(/volume) sampling scheme

.claude/skills/piker-slang/examples.md

@@ -1,201 +0,0 @@
-# Piker Communication Examples
-
-Real-world interaction patterns for communicating
-in the piker dev style.
-
-## When Giving Feedback
-
-**Direct, no sugar-coating:**
-```
-BAD:  "This approach might not be optimal"
-GOOD: "this is sloppy, there's likely a better
-       vectorized approach"
-
-BAD:  "Perhaps we should consider..."
-GOOD: "you should definitely try X instead"
-
-BAD:  "I'm not entirely certain, but..."
-GOOD: "prolly it's bc we're doing Y, check the
-       profiler #s"
-```
-
-**Celebrate wins:**
-```
-"eyyooo, way faster now!"
-"booyakashaa, sub-ms lookups B)"
-"yeah definitely crushed that bottleneck"
-```
-
-**Acknowledge mistakes:**
-```
-"ahh yeah you're right, ma bad"
-"woops, forgot to check that case"
-"lul, totally missed the obvi issue there"
-```
-
-## When Explaining Technical Concepts
-
-**Mix precision with casual:**
-```
-"so basically `np.searchsorted()` is doing binary
-search which is O(log n) instead of the linear
-O(n) scan we were doing before with `np.isin()`,
-that's why it's like 1000x faster ya know?"
-```
-
-**Use backticks heavily:**
-- Wrap all code symbols: `function()`,
-  `ClassName`, `field_name`
-- File paths: `piker/ui/_remote_ctl.py`
-- Commands: `git status`, `piker store ldshm`
-
-**Explain like you're pair programming:**
-```
-"ok so the issue is prolly in `.reposition()` bc
-we're calling it with the wrong timeframe's
-array.. check line 589 where we're doing the
-timestamp lookup - that's gonna fail if the array
-has different sample times rn"
-```
-
-## When Debugging
-
-**Think out loud:**
-```
-"hmm yeah that makes sense bc..
-wait no actually..
-ahh ok i see it now, the timestamp lookups are
-failing bc.."
-```
-
-**Profile-first mentality:**
-```
-"let's add profiling around that section and see
-where the holdup is.. i'm guessing it's the dict
-building but could be the searchsorted too"
-```
-
-**Iterative refinement:**
-```
-"ok try this and lemme know the #s..
-if it's still slow we can try Y instead..
-prolly there's one more optimization left"
-```
-
-## Code Review Style
-
-**Be direct but helpful:**
-```
-"you friggin guy XD can't we just pass that to
-the meth (method) directly instead of coupling
-it to state? would be way cleaner"
-
-"cmon mann, this is python - if you're gonna use
-try/finally you need to indent all the code up
-to the finally block"
-
-"yeah looks good but prolly we should add the
-check at line 582 before we do the lookup,
-otherwise it'll spam warnings"
-```
-
-## Asking for Clarification
-
-```
-"wait so are we trying to optimize the client
-side or server side rn? or both lol"
-
-"mm yeah, any chance you can point me to the
-current code for this so i can think about it
-before we try X?"
-```
-
-## Proposing Solutions
-
-```
-"ok so i think the move here is to vectorize the
-timestamp lookups using binary search.. should
-drop that 100ms way down. wanna give it a shot?"
-
-"prolly we should just add a timeframe check at
-the top of `.reposition()` and bail early if it
-doesn't match ya?"
-```
-
-## Reacting to User Feedback
-
-```
-User: "yeah the arrows are too big now"
-Response: "ahh yeah you're right, lemme check the
-upstream `makeArrowPath()` code to see what the
-dims actually mean.."
-
-User: "dint (didn't) help at all it seems"
-Response: "bleh! ok so there's prolly another
-bottleneck then, let's add moar profiler calls
-and narrow it down"
-```
-
-## End of Session
-
-```
-"aight so we got some solid wins today:
-- ~36x client speedup (6.6s -> 376ms)
-- ~180x server speedup
-- fixed the timeframe mismatch spam
-- added teardown profiling
-
-ready to call it a night?"
-```
-
-## Advanced Moves
-
-### The Parenthetical Correction
-```
-"yeah i dint (didn't) realize we were hitting
-that path"
-"need to check the deats (details) on how
-searchsorted works"
-```
-
-### The Rhetorical Question Flow
-```
-"so like, why are we even building this dict per
-reposition call? can't we just cache it and
-invalidate when the array changes? prolly way
-faster that way no?"
-```
-
-### The Rambling Realization
-```
-"ok so the thing is.. wait actually.. hmm.. yeah
-ok so i think what's happening is the timestamp
-lookups are failing bc the 1s gaps are being
-repositioned with the 60s array.. which like,
-obvi won't have those exact timestamps bc it's
-sampled differently.. so we prolly just need to
-skip reposition if the timeframes don't match
-ya?"
-```
-
-### The Self-Deprecating Pivot
-```
-"lol ok yeah that was totally wrong, ma bad.
-let's try Y instead and see if that helps"
-```
-
-## The Vibe
-
-```
-"yo so i was profiling that batch rendering thing
-and holy shit we were doing like 3855 linear
-scans.. switched to searchsorted and boom,
-100ms -> 5ms. still think there's moar juice to
-squeeze tho, prolly in the dict building part.
-gonna add some profiler calls and see where the
-holdup is rn.
-
-anyway yeah, good sesh today B) learned a ton
-aboot pyqtgraph internals, might write that up
-as a skill file for future collabs ya know?"
-```

.claude/skills/pyqtgraph-optimization/SKILL.md

@@ -1,219 +0,0 @@
----
-name: pyqtgraph-optimization
-description: >
-  PyQtGraph batch rendering optimization patterns
-  for piker's UI. Apply when optimizing graphics
-  performance, adding new chart annotations, or
-  working with `QGraphicsItem` subclasses.
-user-invocable: false
----
-
-# PyQtGraph Rendering Optimization
-
-Skill for researching and optimizing `pyqtgraph`
-graphics primitives by leveraging `piker`'s
-existing extensions and production-ready patterns.
-
-## Research Flow
-
-When tasked with optimizing rendering performance
-(particularly for large datasets), follow this
-systematic approach:
-
-### 1. Study Piker's Existing Primitives
-
-Start by examining `piker.ui._curve` and related
-modules:
-
-```python
-# Key modules to review:
-piker/ui/_curve.py      # FlowGraphic, Curve
-piker/ui/_editors.py    # ArrowEditor, SelectRect
-piker/ui/_annotate.py   # Custom batch renderers
-```
-
-**Look for:**
-- Use of `QPainterPath` for batch path rendering
-- `QGraphicsItem` subclasses with custom `.paint()`
-- Cache mode settings (`.setCacheMode()`)
-- Coordinate system transformations
-- Custom bounding rect calculations
-
-### 2. Identify Upstream PyQtGraph Patterns
-
-**Key upstream modules:**
-```python
-pyqtgraph/graphicsItems/BarGraphItem.py
-    # PrimitiveArray for batch rect rendering
-
-pyqtgraph/graphicsItems/ScatterPlotItem.py
-    # Fragment-based rendering for point clouds
-
-pyqtgraph/functions.py
-    # Utility fns like makeArrowPath()
-
-pyqtgraph/Qt/internals.py
-    # PrimitiveArray for batch drawing primitives
-```
-
-**Search for:**
-- `PrimitiveArray` usage (batch rect/point)
-- `QPainterPath` batching patterns
-- Shared pen/brush reuse across items
-- Coordinate transformation strategies
-
-### 3. Core Batch Patterns
-
-**Core optimization principle:**
-Creating individual `QGraphicsItem` instances is
-expensive. Batch rendering eliminates per-item
-overhead.
-
-#### Pattern: Batch Rectangle Rendering
-
-```python
-import pyqtgraph as pg
-from pyqtgraph.Qt import QtCore
-
-class BatchRectRenderer(pg.GraphicsObject):
-    def __init__(self, n_items):
-        super().__init__()
-
-        # allocate rect array once
-        self._rectarray = (
-            pg.Qt.internals.PrimitiveArray(
-                QtCore.QRectF, 4,
-            )
-        )
-
-        # shared pen/brush (not per-item!)
-        self._pen = pg.mkPen(
-            'dad_blue', width=1,
-        )
-        self._brush = (
-            pg.functions.mkBrush('dad_blue')
-        )
-
-    def paint(self, p, opt, w):
-        # batch draw all rects in single call
-        p.setPen(self._pen)
-        p.setBrush(self._brush)
-        drawargs = self._rectarray.drawargs()
-        p.drawRects(*drawargs)  # all at once!
-```
-
-#### Pattern: Batch Path Rendering
-
-```python
-class BatchPathRenderer(pg.GraphicsObject):
-    def __init__(self):
-        super().__init__()
-        self._path = QtGui.QPainterPath()
-
-    def paint(self, p, opt, w):
-        # single path draw for all geometry
-        p.setPen(self._pen)
-        p.setBrush(self._brush)
-        p.drawPath(self._path)
-```
-
-### 4. Handle Coordinate Systems Carefully
-
-**Scene vs Data vs Pixel coordinates:**
-
-```python
-def paint(self, p, opt, w):
-    # save original transform (data -> scene)
-    orig_tr = p.transform()
-
-    # draw rects in data coordinates
-    p.setPen(self._rect_pen)
-    p.drawRects(*self._rectarray.drawargs())
-
-    # reset to scene coords for pixel-perfect
-    p.resetTransform()
-
-    # build arrow path in scene/pixel coords
-    for spec in self._specs:
-        scene_pt = orig_tr.map(
-            QPointF(x_data, y_data),
-        )
-        sx, sy = scene_pt.x(), scene_pt.y()
-
-        # arrow geometry in pixels (zoom-safe!)
-        arrow_poly = QtGui.QPolygonF([
-            QPointF(sx, sy),         # tip
-            QPointF(sx - 2, sy - 10),  # left
-            QPointF(sx + 2, sy - 10),  # right
-        ])
-        arrow_path.addPolygon(arrow_poly)
-
-    p.drawPath(arrow_path)
-
-    # restore data coordinate system
-    p.setTransform(orig_tr)
-```
-
-### 5. Minimize Redundant State
-
-**Share resources across all items:**
-```python
-# GOOD: one pen/brush for all items
-self._shared_pen = pg.mkPen(color, width=1)
-self._shared_brush = (
-    pg.functions.mkBrush(color)
-)
-
-# BAD: creating per-item (memory + time waste!)
-for item in items:
-    item.setPen(pg.mkPen(color, width=1))  # NO!
-```
-
-## Common Pitfalls
-
-1. **Don't mix coordinate systems within single
-   paint call** - decide per-primitive: data coords
-   or scene coords. Use `p.transform()` /
-   `p.resetTransform()` carefully.
-
-2. **Don't forget bounding rect updates** -
-   override `.boundingRect()` to include all
-   primitives. Update when geometry changes via
-   `.prepareGeometryChange()`.
-
-3. **Don't use ItemCoordinateCache for dynamic
-   content** - use `DeviceCoordinateCache` for
-   frequently updated items or `NoCache` during
-   interactive operations.
-
-4. **Don't trigger updates per-item in loops** -
-   batch all changes, then single `.update()`.
-
-## Performance Expectations
-
-**Individual items (baseline):**
-- 1000+ items: ~5+ seconds to create
-- Each item: ~5ms overhead (Qt object creation)
-
-**Batch rendering (optimized):**
-- 1000+ items: <100ms to create
-- Single item: ~0.01ms per primitive in batch
-- **Expected: 50-100x speedup**
-
-## References
-
-- `piker/ui/_curve.py` - Production FlowGraphic
-- `piker/ui/_annotate.py` - GapAnnotations batch
-- `pyqtgraph/graphicsItems/BarGraphItem.py` -
-  PrimitiveArray
-- `pyqtgraph/graphicsItems/ScatterPlotItem.py` -
-  Fragments
-- Qt docs: QGraphicsItem caching modes
-
-See [examples.md](examples.md) for real-world
-optimization case studies.
-
----
-
-*Last updated: 2026-01-31*
-*Session: Batch gap annotation optimization*

.claude/skills/pyqtgraph-optimization/examples.md

@@ -1,84 +0,0 @@
-# PyQtGraph Optimization Examples
-
-Real-world optimization case studies from piker.
-
-## Case Study: Gap Annotations (1285 gaps)
-
-### Before: Individual `pg.ArrowItem` + `SelectRect`
-
-```
-Total creation time: 6.6 seconds
-Per-item overhead: ~5ms
-Memory: 1285 ArrowItem + 1285 SelectRect objects
-```
-
-Each gap was rendered as two separate
-`QGraphicsItem` instances (arrow + highlight rect),
-resulting in 2570 Qt objects.
-
-### After: Single `GapAnnotations` batch renderer
-
-```
-Total creation time:
-  104ms (server) + 376ms (client)
-Effective per-item: ~0.08ms
-Speedup: ~36x client, ~180x server
-Memory: 1 GapAnnotations object
-```
-
-All 1285 gaps rendered via:
-- One `PrimitiveArray` for all rectangles
-- One `QPainterPath` for all arrows
-- Shared pen/brush across all items
-
-### Profiler Output (Client)
-
-```
-> Entering markup_gaps() for 1285 gaps
-  initial redraw: 0.20ms, tot:0.20
-  built annotation specs: 256.48ms, tot:256.68
-  batch IPC call complete: 119.26ms, tot:375.94
-  final redraw: 0.07ms, tot:376.02
-< Exiting markup_gaps(), total: 376.04ms
-```
-
-### Profiler Output (Server)
-
-```
-> Entering Batch annotate 1285 gaps
-  `np.searchsorted()` complete!: 0.81ms, tot:0.81
-  `time_to_row` creation: 98.45ms, tot:99.28
-  created GapAnnotations item: 2.98ms, tot:102.26
-< Exiting Batch annotate, total: 104.15ms
-```
-
-## Positioning/Update Pattern
-
-For annotations that need repositioning when the
-view scrolls or zooms:
-
-```python
-def reposition(self, array):
-    '''
-    Update positions based on new array data.
-
-    '''
-    # vectorized timestamp lookups (not linear!)
-    time_to_row = self._build_lookup(array)
-
-    # update rect array in-place
-    rect_memory = self._rectarray.ndarray()
-    for i, spec in enumerate(self._specs):
-        row = time_to_row.get(spec['time'])
-        if row:
-            rect_memory[i, 0] = row['index']
-            rect_memory[i, 1] = row['close']
-            # ... width, height
-
-    # trigger repaint (single call, not per-item)
-    self.update()
-```
-
-**Key insight:** Update the underlying memory
-arrays directly, then call `.update()` once.
-Never create/destroy Qt objects during reposition.

.claude/skills/timeseries-optimization/SKILL.md

@@ -1,225 +0,0 @@
----
-name: timeseries-optimization
-description: >
-  High-performance timeseries processing with NumPy
-  and Polars for financial data. Apply when working
-  with OHLCV arrays, timestamp lookups, gap
-  detection, or any array/dataframe operations in
-  piker.
-user-invocable: false
----
-
-# Timeseries Optimization: NumPy & Polars
-
-Skill for high-performance timeseries processing
-using NumPy and Polars, with focus on patterns
-common in financial/trading applications.
-
-## Core Principle: Vectorization Over Iteration
-
-**Never write Python loops over large arrays.**
-Always look for vectorized alternatives.
-
-```python
-# BAD: Python loop (slow!)
-results = []
-for i in range(len(array)):
-    if array['time'][i] == target_time:
-        results.append(array[i])
-
-# GOOD: vectorized boolean indexing (fast!)
-results = array[array['time'] == target_time]
-```
-
-## Timestamp Lookup Patterns
-
-The most critical optimization in piker timeseries
-code. Choose the right lookup strategy:
-
-### Linear Scan (O(n)) - Avoid!
-
-```python
-# BAD: O(n) scan through entire array
-for target_ts in timestamps:  # m iterations
-    matches = array[array['time'] == target_ts]
-    # Total: O(m * n) - catastrophic!
-```
-
-**Performance:**
-- 1000 lookups x 10k array = 10M comparisons
-- Timing: ~50-100ms for 1k lookups
-
-### Binary Search (O(log n)) - Good!
-
-```python
-# GOOD: O(m log n) using searchsorted
-import numpy as np
-
-time_arr = array['time']  # extract once
-ts_array = np.array(timestamps)
-
-# binary search for all timestamps at once
-indices = np.searchsorted(time_arr, ts_array)
-
-# bounds check and exact match verification
-valid_mask = (
-    (indices < len(array))
-    &
-    (time_arr[indices] == ts_array)
-)
-
-valid_indices = indices[valid_mask]
-matched_rows = array[valid_indices]
-```
-
-**Requirements for `searchsorted()`:**
-- Input array MUST be sorted (ascending)
-- Works on any sortable dtype (floats, ints)
-- Returns insertion indices (not found =
-  `len(array)`)
-
-**Performance:**
-- 1000 lookups x 10k array = ~10k comparisons
-- Timing: <1ms for 1k lookups
-- **~100-1000x faster than linear scan**
-
-### Hash Table (O(1)) - Best for Repeated Lookups!
-
-If you'll do many lookups on same array, build
-dict once:
-
-```python
-# build lookup once
-time_to_idx = {
-    float(array['time'][i]): i
-    for i in range(len(array))
-}
-
-# O(1) lookups
-for target_ts in timestamps:
-    idx = time_to_idx.get(target_ts)
-    if idx is not None:
-        row = array[idx]
-```
-
-**When to use:**
-- Many repeated lookups on same array
-- Array doesn't change between lookups
-- Can afford upfront dict building cost
-
-## Performance Checklist
-
-When optimizing timeseries operations:
-
-- [ ] Is the array sorted? (enables binary search)
-- [ ] Are you doing repeated lookups?
-  (build hash table)
-- [ ] Are struct fields accessed in loops?
-  (extract to plain arrays)
-- [ ] Are you using boolean indexing?
-  (vectorized vs loop)
-- [ ] Can operations be batched?
-  (minimize round-trips)
-- [ ] Is memory being copied unnecessarily?
-  (use views)
-- [ ] Are you using the right tool?
-  (NumPy vs Polars)
-
-## Common Bottlenecks and Fixes
-
-### Bottleneck: Timestamp Lookups
-
-```python
-# BEFORE: O(n*m) - 100ms for 1k lookups
-for ts in timestamps:
-    matches = array[array['time'] == ts]
-
-# AFTER: O(m log n) - <1ms for 1k lookups
-indices = np.searchsorted(
-    array['time'], timestamps,
-)
-```
-
-### Bottleneck: Dict Building from Struct Array
-
-```python
-# BEFORE: 100ms for 3k rows
-result = {
-    float(row['time']): {
-        'index': float(row['index']),
-        'close': float(row['close']),
-    }
-    for row in matched_rows
-}
-
-# AFTER: <5ms for 3k rows
-times = matched_rows['time'].astype(float)
-indices = matched_rows['index'].astype(float)
-closes = matched_rows['close'].astype(float)
-
-result = {
-    t: {'index': idx, 'close': cls}
-    for t, idx, cls in zip(
-        times, indices, closes,
-    )
-}
-```
-
-### Bottleneck: Repeated Field Access
-
-```python
-# BEFORE: 50ms for 1k iterations
-for i, spec in enumerate(specs):
-    start_row = array[
-        array['time'] == spec['start_time']
-    ][0]
-    end_row = array[
-        array['time'] == spec['end_time']
-    ][0]
-    process(
-        start_row['index'],
-        end_row['close'],
-    )
-
-# AFTER: <5ms for 1k iterations
-# 1. Build lookup once
-time_to_row = {...}  # via searchsorted
-
-# 2. Extract fields to plain arrays
-indices_arr = array['index']
-closes_arr = array['close']
-
-# 3. Use lookup + plain array indexing
-for spec in specs:
-    start_idx = time_to_row[
-        spec['start_time']
-    ]['array_idx']
-    end_idx = time_to_row[
-        spec['end_time']
-    ]['array_idx']
-    process(
-        indices_arr[start_idx],
-        closes_arr[end_idx],
-    )
-```
-
-## References
-
-- NumPy structured arrays:
-  https://numpy.org/doc/stable/user/basics.rec.html
-- `np.searchsorted`:
-  https://numpy.org/doc/stable/reference/generated/numpy.searchsorted.html
-- Polars: https://pola-rs.github.io/polars/
-- `piker.tsp` - timeseries processing utilities
-- `piker.data._formatters` - OHLC array handling
-
-See [numpy-patterns.md](numpy-patterns.md) for
-detailed NumPy structured array patterns and
-[polars-patterns.md](polars-patterns.md) for
-Polars integration.
-
----
-
-*Last updated: 2026-01-31*
-*Key win: 100ms -> 5ms dict building via field
-extraction*

.claude/skills/timeseries-optimization/numpy-patterns.md

@@ -1,212 +0,0 @@
-# NumPy Structured Array Patterns
-
-Detailed patterns for working with NumPy structured
-arrays in piker's financial data processing.
-
-## Piker's OHLCV Array Dtype
-
-```python
-# typical piker array dtype
-dtype = [
-    ('index', 'i8'),   # absolute sequence index
-    ('time', 'f8'),    # unix epoch timestamp
-    ('open', 'f8'),
-    ('high', 'f8'),
-    ('low', 'f8'),
-    ('close', 'f8'),
-    ('volume', 'f8'),
-]
-
-arr = np.array(
-    [(0, 1234.0, 100, 101, 99, 100.5, 1000)],
-    dtype=dtype,
-)
-
-# field access
-times = arr['time']     # returns view, not copy
-closes = arr['close']
-```
-
-## Structured Array Performance Gotchas
-
-### 1. Field access in loops is slow
-
-```python
-# BAD: repeated struct field access per iteration
-for i, row in enumerate(arr):
-    x = row['index']    # struct access!
-    y = row['close']
-    process(x, y)
-
-# GOOD: extract fields once, iterate plain arrays
-indices = arr['index']  # extract once
-closes = arr['close']
-for i in range(len(arr)):
-    x = indices[i]      # plain array indexing
-    y = closes[i]
-    process(x, y)
-```
-
-### 2. Dict comprehensions with struct arrays
-
-```python
-# SLOW: field access per row in Python loop
-time_to_row = {
-    float(row['time']): {
-        'index': float(row['index']),
-        'close': float(row['close']),
-    }
-    for row in matched_rows  # struct access!
-}
-
-# FAST: extract to plain arrays first
-times = matched_rows['time'].astype(float)
-indices = matched_rows['index'].astype(float)
-closes = matched_rows['close'].astype(float)
-
-time_to_row = {
-    t: {'index': idx, 'close': cls}
-    for t, idx, cls in zip(
-        times, indices, closes,
-    )
-}
-```
-
-## Vectorized Boolean Operations
-
-### Basic Filtering
-
-```python
-# single condition
-recent = array[array['time'] > cutoff_time]
-
-# multiple conditions with &, |
-filtered = array[
-    (array['time'] > start_time)
-    &
-    (array['time'] < end_time)
-    &
-    (array['volume'] > min_volume)
-]
-
-# IMPORTANT: parentheses required around each!
-# (operator precedence: & binds tighter than >)
-```
-
-### Fancy Indexing
-
-```python
-# boolean mask
-mask = array['close'] > array['open']  # up bars
-up_bars = array[mask]
-
-# integer indices
-indices = np.array([0, 5, 10, 15])
-selected = array[indices]
-
-# combine boolean + fancy indexing
-mask = array['volume'] > threshold
-high_vol_indices = np.where(mask)[0]
-subset = array[high_vol_indices[::2]]  # every other
-```
-
-## Common Financial Patterns
-
-### Gap Detection
-
-```python
-# assume sorted by time
-time_diffs = np.diff(array['time'])
-expected_step = 60.0  # 1-minute bars
-
-# find gaps larger than expected
-gap_mask = time_diffs > (expected_step * 1.5)
-gap_indices = np.where(gap_mask)[0]
-
-# get gap start/end times
-gap_starts = array['time'][gap_indices]
-gap_ends = array['time'][gap_indices + 1]
-```
-
-### Rolling Window Operations
-
-```python
-# simple moving average (close)
-window = 20
-sma = np.convolve(
-    array['close'],
-    np.ones(window) / window,
-    mode='valid',
-)
-
-# stride tricks for efficiency
-from numpy.lib.stride_tricks import (
-    sliding_window_view,
-)
-windows = sliding_window_view(
-    array['close'], window,
-)
-sma = windows.mean(axis=1)
-```
-
-### OHLC Resampling (NumPy)
-
-```python
-# resample 1m bars to 5m bars
-def resample_ohlc(arr, old_step, new_step):
-    n_bars = len(arr)
-    factor = int(new_step / old_step)
-
-    # truncate to multiple of factor
-    n_complete = (n_bars // factor) * factor
-    arr = arr[:n_complete]
-
-    # reshape into chunks
-    reshaped = arr.reshape(-1, factor)
-
-    # aggregate OHLC
-    opens = reshaped[:, 0]['open']
-    highs = reshaped['high'].max(axis=1)
-    lows = reshaped['low'].min(axis=1)
-    closes = reshaped[:, -1]['close']
-    volumes = reshaped['volume'].sum(axis=1)
-
-    return np.rec.fromarrays(
-        [opens, highs, lows, closes, volumes],
-        names=[
-            'open', 'high', 'low',
-            'close', 'volume',
-        ],
-    )
-```
-
-## Memory Considerations
-
-### Views vs Copies
-
-```python
-# VIEW: shares memory (fast, no copy)
-times = array['time']         # field access
-subset = array[10:20]         # slicing
-reshaped = array.reshape(-1, 2)
-
-# COPY: new memory allocation
-filtered = array[array['time'] > cutoff]
-sorted_arr = np.sort(array)
-casted = array.astype(np.float32)
-
-# force copy when needed
-explicit_copy = array.copy()
-```
-
-### In-Place Operations
-
-```python
-# modify in-place (no new allocation)
-array['close'] *= 1.01  # scale prices
-array['volume'][mask] = 0  # zero out rows
-
-# careful: compound ops may create temporaries
-array['close'] = array['close'] * 1.01  # temp!
-array['close'] *= 1.01  # true in-place
-```

.claude/skills/timeseries-optimization/polars-patterns.md

@@ -1,78 +0,0 @@
-# Polars Integration Patterns
-
-Polars usage patterns for piker's timeseries
-processing, including NumPy interop.
-
-## NumPy <-> Polars Conversion
-
-```python
-import polars as pl
-
-# numpy to polars
-df = pl.from_numpy(
-    arr,
-    schema=[
-        'index', 'time', 'open', 'high',
-        'low', 'close', 'volume',
-    ],
-)
-
-# polars to numpy (via arrow)
-arr = df.to_numpy()
-
-# piker convenience
-from piker.tsp import np2pl, pl2np
-df = np2pl(arr)
-arr = pl2np(df)
-```
-
-## Polars Performance Patterns
-
-### Lazy Evaluation
-
-```python
-# build query lazily
-lazy_df = (
-    df.lazy()
-    .filter(pl.col('volume') > 1000)
-    .with_columns([
-        (
-            pl.col('close') - pl.col('open')
-        ).alias('change')
-    ])
-    .sort('time')
-)
-
-# execute once
-result = lazy_df.collect()
-```
-
-### Groupby Aggregations
-
-```python
-# resample to 5-minute bars
-resampled = df.groupby_dynamic(
-    index_column='time',
-    every='5m',
-).agg([
-    pl.col('open').first(),
-    pl.col('high').max(),
-    pl.col('low').min(),
-    pl.col('close').last(),
-    pl.col('volume').sum(),
-])
-```
-
-## When to Use Polars vs NumPy
-
-### Use Polars when:
-- Complex queries with multiple filters/joins
-- Need SQL-like operations (groupby, window fns)
-- Working with heterogeneous column types
-- Want lazy evaluation optimization
-
-### Use NumPy when:
-- Simple array operations (indexing, slicing)
-- Direct memory access needed (e.g., SHM arrays)
-- Compatibility with Qt/pyqtgraph (expects NumPy)
-- Maximum performance for numerical computation

.gitignore

@@ -98,35 +98,10 @@ ENV/
 /site
 
 # extra scripts dir
-# /snippets
+/snippets
+# testing-utils aren't actively in use.
+/piker/_testing
 
 # mypy
 .mypy_cache/
-
-# all files under
-.git/
-
-# any commit-msg gen tmp files
-.claude/*_commit_*.md
-.claude/*_commit*.toml
-
-# nix develop --profile .nixdev
-.nixdev*
-
-# :Obsession .
-Session.vim
-
-# gitea local `.md`-files
-# TODO? would this be handy to also commit and sync with
-# wtv git hosting service tho?
-gitea/
-
-# ------ tina-land ------
 .vscode/settings.json
-
-# ------ macOS ------
-# Finder metadata
-**/.DS_Store
-
-# LLM conversations that should remain private
-docs/conversations/

README.rst

@@ -93,38 +93,27 @@ bc why install with `python` when you can faster with `rust` ::
     # ^ astral's docs,
     # https://docs.astral.sh/uv/concepts/projects/sync/
 
-include all GUIs (ex. for charting)::
+include all GUIs ::
 
-    uv sync --group uis
+    uv sync --extra uis
 
-AND with **all** our normal hacking tools::
+AND with all our hacking tools::
 
-    uv sync --dev
+    uv sync --dev --extra uis
 
-AND if you want to try WIP integrations::
-
-    uv sync --all-groups
 
 Ensure you can run the root-daemon::
 
     uv run pikerd [-l info --pdb]
 
 
-install on nix(os)
-******************
+hacky install on nixos
+**********************
 ``NixOS`` is our core devs' distro of choice for which we offer
-a stringently defined development shell envoirment that can currently
-be applied in one of 2 ways::
+a stringently defined development shell envoirment that can be loaded with::
 
-    # ONLY if running on X11
     nix-shell default.nix
 
-Or if you prefer flakes style and a modern DE::
-
-    # ONLY if also running on Wayland
-    nix develop  # for default bash
-    nix develop -c uv run xonsh  # for @goodboy's preferred sh B)
-
 
 start a chart
 *************

ai/README.md

@@ -1,50 +0,0 @@
-# AI Tooling Integrations
-
-Documentation and usage guides for AI-assisted
-development tools integrated with this repo.
-
-Each subdirectory corresponds to a specific AI tool
-or frontend and contains usage docs for the
-custom skills/prompts/workflows configured for it.
-
-Originally introduced in
-[PR #69](https://www.pikers.dev/pikers/piker/pulls/69);
-track new integration ideas and proposals in
-[issue #79](https://www.pikers.dev/pikers/piker/issues/79).
-
-## Integrations
-
-| Tool | Directory | Status |
-|------|-----------|--------|
-| [Claude Code](https://github.com/anthropics/claude-code) | [`claude-code/`](claude-code/) | active |
-
-## Adding a New Integration
-
-Create a subdirectory named after the tool (use
-lowercase + hyphens), then add:
-
-1. A `README.md` covering setup, available
-   skills/commands, and usage examples
-2. Any tool-specific config or prompt files
-
-```
-ai/
-├── README.md                  # <- you are here
-├── claude-code/
-│   └── README.md
-├── opencode/                  # future
-│   └── README.md
-└── <your-tool>/
-    └── README.md
-```
-
-## Conventions
-
-- Skill/command names use **hyphen-case**
-  (`commit-msg`, not `commit_msg`)
-- Each integration doc should describe **what**
-  the skill does, **how** to invoke it, and any
-  **output** artifacts it produces
-- Keep docs concise; link to the actual skill
-  source files (under `.claude/skills/`, etc.)
-  rather than duplicating content

ai/claude-code/README.md

@@ -1,183 +0,0 @@
-# Claude Code Integration
-
-[Claude Code](https://github.com/anthropics/claude-code)
-skills and workflows for piker development.
-
-## Skills
-
-| Skill | Invocable | Description |
-|-------|-----------|-------------|
-| [`commit-msg`](#commit-msg) | `/commit-msg` | Generate piker-style commit messages |
-| `piker-profiling` | auto | `Profiler` API patterns for perf work |
-| `piker-slang` | auto | Communication style + slang guide |
-| `pyqtgraph-optimization` | auto | Batch rendering patterns |
-| `timeseries-optimization` | auto | NumPy/Polars perf patterns |
-
-Skills marked **auto** are background knowledge
-applied automatically when Claude detects relevance.
-Only `commit-msg` is user-invoked via slash command.
-
-Skill source files live under
-`.claude/skills/<skill-name>/SKILL.md`.
-
----
-
-## `/commit-msg`
-
-Generate piker-style git commit messages trained on
-500+ commits from the repo history.
-
-### Quick Start
-
-```
-# basic - analyzes staged diff automatically
-/commit-msg
-
-# with scope hint
-/commit-msg .ib.feed: fix bar trimming
-
-# with description context
-/commit-msg refactor position tracking
-```
-
-### What It Does
-
-1. **Reads staged changes** via dynamic context
-   injection (`git diff --staged --stat`)
-2. **Reads recent commits** for style reference
-   (`git log --oneline -10`)
-3. **Generates** a commit message following
-   piker conventions (verb choice, backtick refs,
-   colon prefixes, section markers, etc.)
-4. **Writes** the message to two files:
-   - `.claude/<timestamp>_<hash>_commit_msg.md`
-   - `.claude/git_commit_msg_LATEST.md`
-     (overwritten each time)
-
-### Arguments
-
-The optional argument after `/commit-msg` is
-passed as `$ARGUMENTS` and used as scope or
-description context. Examples:
-
-| Invocation | Effect |
-|------------|--------|
-| `/commit-msg` | Infer scope from diff |
-| `/commit-msg .ib.feed` | Use `.ib.feed:` prefix |
-| `/commit-msg fix the null seg crash` | Use as description hint |
-
-### Output Format
-
-**Subject line:**
-- ~50 chars target, 67 max
-- Present tense verb (Add, Drop, Fix, Factor..)
-- Backtick-wrapped code refs
-- Optional module prefix (`.ib.feed: ...`)
-
-**Body** (when needed):
-- 67 char line max
-- Section markers: `Also,`, `Deats,`, `Further,`
-- `-` bullet lists for multiple changes
-- Piker abbreviations (`msg`, `mod`, `impl`,
-  `deps`, `bc`, `obvi`, `prolly`..)
-
-**Footer** (always):
-```
-(this patch was generated in some part by
-[`claude-code`][claude-code-gh])
-[claude-code-gh]: https://github.com/anthropics/claude-code
-```
-
-### Output Files
-
-After generation, the commit message is written to:
-
-```
-.claude/
-├── <timestamp>_<hash>_commit_msg.md   # archived
-└── git_commit_msg_LATEST.md           # latest
-```
-
-Where `<timestamp>` is ISO-8601 with seconds and
-`<hash>` is the first 7 chars of the current
-`HEAD` commit.
-
-Use the latest file to feed into `git commit`:
-
-```bash
-git commit -F .claude/git_commit_msg_LATEST.md
-```
-
-Or review/edit before committing:
-
-```bash
-cat .claude/git_commit_msg_LATEST.md
-# edit if needed, then:
-git commit -F .claude/git_commit_msg_LATEST.md
-```
-
-### Examples
-
-**Simple one-liner output:**
-```
-Add `MktPair.fqme` property for symbol resolution
-```
-
-**Multi-file change output:**
-```
-Factor `.claude/skills/` into proper subdirs
-
-Deats,
-- `commit_msg/` -> `commit-msg/` w/ enhanced
-  frontmatter
-- all background skills set `user-invocable: false`
-- content split into supporting files
-
-(this patch was generated in some part by
-[`claude-code`][claude-code-gh])
-[claude-code-gh]: https://github.com/anthropics/claude-code
-```
-
-### Frontmatter Reference
-
-The skill's `SKILL.md` uses these Claude Code
-frontmatter fields:
-
-```yaml
----
-name: commit-msg
-description: >
-  Generate piker-style git commit messages...
-argument-hint: "[optional-scope-or-description]"
-disable-model-invocation: true
-allowed-tools:
-  - Bash(git *)
-  - Read
-  - Grep
-  - Glob
-  - Write
----
-```
-
-| Field | Purpose |
-|-------|---------|
-| `argument-hint` | Shows hint in autocomplete |
-| `disable-model-invocation` | Only user can trigger via `/commit-msg` |
-| `allowed-tools` | Tools the skill can use |
-
-### Dynamic Context
-
-The skill injects live data at invocation time
-via `!`backtick`` syntax in the `SKILL.md`:
-
-```markdown
-## Current staged changes
-!`git diff --staged --stat`
-
-## Recent commit style reference
-!`git log --oneline -10`
-```
-
-This means the staged diff stats and recent log
-are always fresh when the skill runs -- no stale
-context.

config/brokers.toml

@@ -1,5 +1,6 @@
+################
 # ---- CEXY ----
-
+################
 [binance]
 accounts.paper = 'paper'
 
@@ -12,41 +13,28 @@ accounts.spot = 'spot'
 spot.use_testnet = false
 spot.api_key = ''
 spot.api_secret = ''
-# ------ binance ------
 
 
 [deribit]
-# std assets
 key_id = ''
 key_secret = ''
-# options
-accounts.option = 'option'
-option.use_testnet = false
-option.key_id = ''
-option.key_secret = ''
-# aux logging from `cryptofeed`
-option.log.filename = 'cryptofeed.log'
-option.log.level = 'DEBUG'
-option.log.disabled = true
-# ------ deribit ------
 
 
 [kraken]
 key_descr = ''
 api_key = ''
 secret = ''
-# ------ kraken ------
 
 
 [kucoin]
 key_id = ''
 key_secret = ''
 key_passphrase = ''
-# ------ kucoin ------
 
 
+################
 # -- BROKERZ ---
-
+################
 [questrade]
 refresh_token = ''
 access_token = ''
@@ -54,55 +42,44 @@ api_server = 'https://api06.iq.questrade.com/'
 expires_in = 1800
 token_type = 'Bearer'
 expires_at = 1616095326.355846
-# ------ questrade ------
 
 
 [ib]
-# define the (set of) host-port socketaddrs that
-# brokerd.ib will scan to connect to an API endpoint
-# (ib-gw or ib-tws listening instances)
 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
 ]
 
-# When API endpoints are being scanned durin startup, the order
-# of user-defined-account "names" (as defined below) here
-# determines which py-client connection is given priority to be
-# used for data-feed-requests by according to whichever client
-# connected to an API endpoing which reported the equivalent
-# account number for that name.
+# 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 = ''
+flex_trades_query_id = ''  # live account
+
+# 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',
 ]
 
-# For long-term trades txn (transaction) history
-# processing (i.e your txn ledger with IB) you can
-# (automatically for live accounts) query the FLEX
-# report system for past history.
-#
-# (For paper accounts the web query service
-# is not supported so you have to manually download
-# an XML report and put it in a location that can be
-# accessed by our `brokerd.ib` backend code for parsing).
-#
-flex_token = ''
-flex_trades_query_id = ''  # live account
-
-# define "aliases" (names) for each account number
-# such that the names can be reffed and logged throughout
-# `piker.accounting` subsys and more easily
-# referred to  by the user.
-#
-# These keys will be the set exposed through the order-mode
-# account-selection UI so that numbers are never shown.
 [ib.accounts]
-paper = 'DU0000000'  # <- literal account #
-margin = 'U0000000'
-ira = 'U0000000'
-# ------ ib ------
+# 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'

config/conf.toml

@@ -1,9 +1,7 @@
 [network]
-pikerd = [
-  '/ipv4/127.0.0.1/tcp/6116',  # std localhost daemon-actor tree
-  # '/uds/6116',  # TODO std uds socket file
-]
-
+tsdb.backend = 'marketstore'
+tsdb.host = 'localhost'
+tsdb.grpc_port = 5995
 
 [ui]
 # set custom font + size which will scale entire UI

default.nix

@@ -11,12 +11,11 @@ let
   libxkbcommonStorePath = lib.getLib libxkbcommon;
   xcbutilcursorStorePath = lib.getLib xcb-util-cursor;
 
-  pypkgs = python313Packages;
-  qtpyStorePath = lib.getLib pypkgs.qtpy;
-  pyqt6StorePath = lib.getLib pypkgs.pyqt6;
-  pyqt6SipStorePath = lib.getLib pypkgs.pyqt6-sip;
-  rapidfuzzStorePath = lib.getLib pypkgs.rapidfuzz;
-  qdarkstyleStorePath = lib.getLib pypkgs.qdarkstyle;
+  qtpyStorePath = lib.getLib python312Packages.qtpy;
+  pyqt6StorePath = lib.getLib python312Packages.pyqt6;
+  pyqt6SipStorePath = lib.getLib python312Packages.pyqt6-sip;
+  rapidfuzzStorePath = lib.getLib python312Packages.rapidfuzz;
+  qdarkstyleStorePath = lib.getLib python312Packages.qdarkstyle;
 
   xorgLibX11StorePath = lib.getLib xorg.libX11;
   xorgLibxcbStorePath = lib.getLib xorg.libxcb;
@@ -52,12 +51,12 @@ stdenv.mkDerivation {
     xorg.xcbutilrenderutil
 
     # Python requirements.
-    python313
-    uv
-    pypkgs.qdarkstyle
-    pypkgs.rapidfuzz
-    pypkgs.pyqt6
-    pypkgs.qtpy
+    python312Full
+    python312Packages.uv
+    python312Packages.qdarkstyle
+    python312Packages.rapidfuzz
+    python312Packages.pyqt6
+    python312Packages.qtpy
   ];
   src = null;
   shellHook = ''
@@ -114,11 +113,11 @@ stdenv.mkDerivation {
 
     export LD_LIBRARY_PATH
 
-    RPDFUZZ_PATH="${rapidfuzzStorePath}/lib/python3.13/site-packages"
-    QDRKSTYLE_PATH="${qdarkstyleStorePath}/lib/python3.13/site-packages"
-    QTPY_PATH="${qtpyStorePath}/lib/python3.13/site-packages"
-    PYQT6_PATH="${pyqt6StorePath}/lib/python3.13/site-packages"
-    PYQT6_SIP_PATH="${pyqt6SipStorePath}/lib/python3.13/site-packages"
+    RPDFUZZ_PATH="${rapidfuzzStorePath}/lib/python3.12/site-packages"
+    QDRKSTYLE_PATH="${qdarkstyleStorePath}/lib/python3.12/site-packages"
+    QTPY_PATH="${qtpyStorePath}/lib/python3.12/site-packages"
+    PYQT6_PATH="${pyqt6StorePath}/lib/python3.12/site-packages"
+    PYQT6_SIP_PATH="${pyqt6SipStorePath}/lib/python3.12/site-packages"
 
     PATCH="$PATCH:$RPDFUZZ_PATH"
     PATCH="$PATCH:$QDRKSTYLE_PATH"
@@ -128,8 +127,8 @@ stdenv.mkDerivation {
 
     export PATCH
 
-    # install all dev and extras
-    uv sync --dev --all-extras
+    # Install deps
+    uv lock
 
   '';
 }

dockering/ib/README.rst

@@ -1,138 +1,30 @@
 running ``ib`` gateway in ``docker``
 ------------------------------------
-We have a config based on a well maintained community
-image from `@gnzsnz`:
+We have a config based on the (now defunct)
+image from "waytrade":
 
-https://github.com/gnzsnz/ib-gateway-docker
+https://github.com/waytrade/ib-gateway-docker
 
-
-To startup this image simply run the command::
+To startup this image with our custom settings
+simply run the command::
 
     docker compose up
 
-(For further usage^ see the official `docker-compose`_ docs)
+And you should have the following socket-available services:
 
+- ``x11vnc1@127.0.0.1:3003``
+- ``ib-gw@127.0.0.1:4002``
 
-And you should have the following socket-available services by
-default:
+You can attach to the container via a VNC client
+without password auth.
 
-- ``x11vnc1 @ 127.0.0.1:5900``
-- ``ib-gw @ 127.0.0.1:4002``
-
-You can now attach to the container via a VNC client with password-auth;
-here is an example using ``vncclient`` on ``linux``::
-
-    vncviewer localhost:5900
-
-now enter the pw (password) you set via an (see second code blob)
-`.env file`_ or pw-file according to the `credentials section`_.
-
-If you want to change away from their default config see the example
-`docker-compose.yml`-config issue and config-section of the readme,
-
-  - https://github.com/gnzsnz/ib-gateway-docker?tab=readme-ov-file#configuration
-  - https://github.com/gnzsnz/ib-gateway-docker/discussions/103
-
-.. _.env file: https://github.com/gnzsnz/ib-gateway-docker?tab=readme-ov-file#how-to-use-it
-.. _docker-compose: https://docs.docker.com/compose/
-.. _credentials section: https://github.com/gnzsnz/ib-gateway-docker?tab=readme-ov-file#credentials
-
-
-Connecting to the API from `piker`
----------------------------------
-In order to expose the container's API endpoint to the
-`brokerd/datad/ib` actor, we need to add a section to the user's
-`brokers.toml` config (note the below is similar to the repo-shipped
-template file),
-
-.. code:: toml
-
-    [ib]
-    # define the (set of) host-port socketaddrs that
-    # brokerd.ib will scan to connect to an API endpoint
-    # (ib-gw or ib-tws listening instances)
-    hosts = [
-        '127.0.0.1',
-    ]
-    ports = [
-        4002,  # gw
-        7497,  # tws
-    ]
-
-    # When API endpoints are being scanned durin startup, the order
-    # of user-defined-account "names" (as defined below) here
-    # determines which py-client connection is given priority to be
-    # used for data-feed-requests by according to whichever client
-    # connected to an API endpoing which reported the equivalent
-    # account number for that name.
-    prefer_data_account = [
-        'paper',
-        'margin',
-        'ira',
-    ]
-
-    # define "aliases" (names) for each account number
-    # such that the names can be reffed and logged throughout
-    # `piker.accounting` subsys and more easily
-    # referred to  by the user.
-    #
-    # These keys will be the set exposed through the order-mode
-    # account-selection UI so that numbers are never shown.
-    [ib.accounts]
-    paper = 'XX0000000'
-    margin = 'X0000000'
-    ira = 'X0000000'
-
-
-the broker daemon can also connect to the container's VNC server for
-added functionalies including,
-
-- viewing the API endpoint program's GUI for manual interventions,
-- workarounds for historical data throttling using hotkey hacks,
-
-Add a further section to `brokers.toml` which maps each API-ep's
-port to a table of VNC server connection info like,
-
-.. code:: toml
-
-    [ib.vnc_addrs]
-    4002 = {host = 'localhost', port = 5900, pw = 'doggy'}
-
-The `pw = 'doggy'` here ^ should the same value as the particular
-container instances `.env` file setting (when it was run),
-
-.. code:: ini
-
-    VNC_SERVER_PASSWORD='doggy'
-
-
-IF you also want to run ``TWS``
--------------------------------
-You can also run it containerized,
-
-https://github.com/gnzsnz/ib-gateway-docker?tab=readme-ov-file#using-tws
-
-
-SECURITY stuff (advanced, only if you're paranoid)
---------------------------------------------------
-First and foremost if doing a "distributed" container setup where you
-run the ``ib-gw`` docker container and your connecting API client
-(likely ``ib_async`` from python) on **different hosts** be sure to
-read the `security considerations`_ section!
-
-And for a further (somewhat paranoid) perspective from
-a long-time-ago serious devops eng..
-
-Though "``ib``" claims they filter remote host connections outside
-``localhost`` (aka ``127.0.0.1`` on ipv4) it's prolly justified if
-you'd like to filter the socket at the *OS level* using a stateless
-firewall rule::
+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 either baked into our own custom derivative
-image (or patched into the current upstream one after further testin)
-but for now you'll have to do it urself, diggity dawg.
-
-.. _security considerations: https://github.com/gnzsnz/ib-gateway-docker?tab=readme-ov-file#security-considerations
+We will soon have this baked into our own custom image but for
+now you'll have to do it urself dawgy.

dockering/ib/docker-compose.yml

@@ -1,15 +1,10 @@
-# a community maintained IB API container!
-#
-# https://github.com/gnzsnz/ib-gateway-docker
-#
-# For piker we (currently) include some minor deviations
-# for some config files in the `volumes` section.
-#
-# See full configuration settings @
-# - https://github.com/gnzsnz/ib-gateway-docker?tab=readme-ov-file#configuration
-# - https://github.com/gnzsnz/ib-gateway-docker/discussions/103
+# rework from the original @
+# https://github.com/waytrade/ib-gateway-docker/blob/master/docker-compose.yml
+version: "3.5"
+
 
 services:
+
   ib_gw_paper:
 
     # apparently java is a mega cukc:
@@ -55,22 +50,16 @@ services:
         target: /root/scripts/run_x11_vnc.sh
         read_only: true
 
-    # NOTE: an alt method to fill these out is to
-    # define an `.env` file in the same dir as
-    # this compose file.
+    # 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'
     environment:
       TWS_USERID: ${TWS_USERID}
-      # TWS_USERID: 'myuser'
       TWS_PASSWORD: ${TWS_PASSWORD}
-      # TWS_PASSWORD: 'guest'
-      TRADING_MODE: ${TRADING_MODE}
-      # TRADING_MODE: 'paper'
-      VNC_SERVER_PASSWORD: ${VNC_SERVER_PASSWORD}
-      # VNC_SERVER_PASSWORD: 'doggy'
-
-      # TODO, see if we can get this supported like it
-      # was on the old `waytrade` image?
-      # VNC_SERVER_PORT: '3003'
+      TRADING_MODE: 'paper'
+      VNC_SERVER_PASSWORD: 'doggy'
+      VNC_SERVER_PORT: '3003'
 
     # ports:
     #   - target: 4002
@@ -87,9 +76,6 @@ services:
       # - "127.0.0.1:4002:4002"
       # - "127.0.0.1:5900:5900"
 
-  # TODO, a masked but working example of dual paper + live
-  # ib-gw instances running in a single app run!
-  #
   # ib_gw_live:
   #   image: waytrade/ib-gateway:1012.2i
   #   restart: no

examples/max_pain.py

@@ -0,0 +1,338 @@
+#!/usr/bin/env python
+from decimal import (
+    Decimal,
+)
+from pathlib import Path
+
+import numpy as np
+# import polars as pl
+import trio
+import tractor
+from datetime import datetime
+# from pprint import pformat
+from piker.brokers.deribit.api import (
+    get_client,
+    maybe_open_oi_feed,
+)
+from piker.storage import open_storage_client, StorageClient
+from piker.log import get_logger
+import sys
+import pyqtgraph as pg
+from PyQt6 import QtCore
+from pyqtgraph import ScatterPlotItem, InfiniteLine
+from PyQt6.QtWidgets import QApplication
+from cryptofeed.symbols import Symbol
+
+
+log = get_logger(__name__)
+# XXX, use 2 newlines between top level LOC (even between these
+# imports and the next function line ;)
+
+def check_if_complete(
+        oi: dict[str, dict[str, Decimal | None]]
+    ) -> bool:
+    return all(
+        oi[strike]['C'] is not None
+        and
+        oi[strike]['P'] is not None for strike in oi
+    )
+
+
+async def max_pain_daemon(
+) -> None:
+    oi_by_strikes: dict[str, dict[str, Decimal | None]]
+    instruments: list[Symbol] = []
+    expiry_dates: list[str]
+    expiry_date: str
+    currency: str = 'btc'
+    kind: str = 'option'
+
+    async with get_client(
+    ) as client:
+        expiry_dates: list[str] = await client.get_expiration_dates(
+            currency=currency,
+            kind=kind
+        )
+
+        log.info(
+            f'Available expiries for {currency!r}-{kind}:\n'
+            f'{expiry_dates}\n'
+        )
+        expiry_date: str = input(
+            'Please enter a valid expiration date: '
+        ).upper()
+        print('Starting little daemon...')
+
+        # maybe move this type annot down to the assignment line?
+        oi_by_strikes: dict[str, dict[str, Decimal]]
+        instruments = await client.get_instruments(
+            expiry_date=expiry_date,
+        )
+        oi_by_strikes = client.get_strikes_dict(instruments)
+
+
+    def get_total_intrinsic_values(
+        oi_by_strikes: dict[str, dict[str, Decimal]]
+    ) -> dict[str, dict[str, Decimal]]:
+        call_cash: Decimal = Decimal(0)
+        put_cash: Decimal = Decimal(0)
+        intrinsic_values: dict[str, dict[str, Decimal]] = {}
+        closes: list = sorted(Decimal(close) for close in oi_by_strikes)
+
+        for strike, oi in oi_by_strikes.items():
+            s = Decimal(strike)
+            call_cash = sum(max(0, (s - c) * oi_by_strikes[str(c)]['C']) for c in closes)
+            put_cash = sum(max(0, (c - s) * oi_by_strikes[str(c)]['P']) for c in closes)
+
+            intrinsic_values[strike] = {
+                'C': call_cash,
+                'P': put_cash,
+                'total': call_cash + put_cash,
+            }
+
+        return intrinsic_values
+
+    def get_intrinsic_value_and_max_pain(
+        intrinsic_values: dict[str, dict[str, Decimal]]
+        ):
+        # We meed to find the lowest value, so we start at
+        # infinity to ensure that, and the max_pain must be
+        # an amount greater than zero.
+        total_intrinsic_value: Decimal = Decimal('Infinity')
+        max_pain: Decimal = Decimal(0)
+
+        for strike, oi in oi_by_strikes.items():
+            s = Decimal(strike)
+            if intrinsic_values[strike]['total'] < total_intrinsic_value:
+                total_intrinsic_value = intrinsic_values[strike]['total']
+                max_pain = s
+
+        return total_intrinsic_value, max_pain
+
+    def plot_graph(
+        oi_by_strikes: dict[str, dict[str, Decimal]],
+        plot,
+    ):
+        """Update the bar graph with new open interest data."""
+        plot.clear()
+
+        intrinsic_values = get_total_intrinsic_values(oi_by_strikes)
+
+        for strike_str in sorted(oi_by_strikes, key=lambda x: int(x)):
+            strike = int(strike_str)
+            calls_val = float(oi_by_strikes[strike_str]['C'])
+            puts_val  = float(oi_by_strikes[strike_str]['P'])
+
+            bar_c = pg.BarGraphItem(
+                x=[strike - 100],
+                height=[calls_val],
+                width=200,
+                pen='w',
+                brush=(0, 0, 255, 150)
+            )
+            plot.addItem(bar_c)
+
+            bar_p = pg.BarGraphItem(
+                x=[strike + 100],
+                height=[puts_val],
+                width=200,
+                pen='w',
+                brush=(255, 0, 0, 150)
+            )
+            plot.addItem(bar_p)
+
+            total_val = float(intrinsic_values[strike_str]['total']) / 100000
+
+            scatter_iv = ScatterPlotItem(
+                x=[strike],
+                y=[total_val],
+                pen=pg.mkPen(color=(0, 255, 0), width=2),
+                brush=pg.mkBrush(0, 255, 0, 150),
+                size=3,
+                symbol='o'
+            )
+            plot.addItem(scatter_iv)
+
+        _, max_pain = get_intrinsic_value_and_max_pain(intrinsic_values)
+
+        vertical_line = InfiniteLine(
+            pos=max_pain,
+            angle=90,
+            pen=pg.mkPen(color='yellow', width=1, style=QtCore.Qt.PenStyle.DotLine),
+            label=f'Max pain: {max_pain:,.0f}',
+            labelOpts={
+                'position': 0.85,
+                'color': 'yellow',
+                'movable': True
+            }
+        )
+        plot.addItem(vertical_line)
+
+    def update_oi_by_strikes(msg: tuple):
+        nonlocal oi_by_strikes
+        if 'oi' == msg[0]:
+            strike_price = msg[1]['strike_price']
+            option_type = msg[1]['option_type']
+            open_interest = msg[1]['open_interest']
+            oi_by_strikes.setdefault(
+                strike_price, {}
+            ).update(
+                {option_type: open_interest}
+            )
+
+    # Define the structured dtype
+    dtype = np.dtype([
+        ('time', int),
+        ('oi', float),
+        ('oi_calc', float),
+    ])
+    async def write_open_interest_on_file(msg: tuple, client: StorageClient):
+        if 'oi' == msg[0]:
+            nonlocal expiry_date
+            timestamp = msg[1]['timestamp']
+            strike_price = msg[1]["strike_price"]
+            option_type = msg[1]['option_type'].lower()
+            col_sym_key = f'btc-{expiry_date.lower()}-{strike_price}-{option_type}'
+
+            # Create the numpy array with sample data
+            data = np.array([
+                (
+                    int(timestamp),
+                    float(msg[1]['open_interest']),
+                    np.nan,
+                ),
+            ], dtype=dtype)
+
+            path: Path = await client.write_oi(
+                col_sym_key,
+                data,
+            )
+            # TODO, use std logging like this throughout for status
+            # emissions on console!
+            log.info(f'Wrote OI history to {path}')
+
+    def get_max_pain(
+        oi_by_strikes: dict[str, dict[str, Decimal]]
+    ) -> dict[str, str | Decimal]:
+        '''
+        This method requires only the strike_prices and oi for call
+        and puts, the closes list are the same as the strike_prices
+        the idea is to sum all the calls and puts cash for each strike
+        and the ITM strikes from that strike, the lowest value is what we
+        are looking for the intrinsic value.
+
+        '''
+
+        nonlocal timestamp
+
+        intrinsic_values = get_total_intrinsic_values(oi_by_strikes)
+
+        total_intrinsic_value, max_pain = get_intrinsic_value_and_max_pain(intrinsic_values)
+
+        return {
+            'timestamp': timestamp,
+            'expiry_date': expiry_date,
+            'total_intrinsic_value': total_intrinsic_value,
+            'max_pain': max_pain,
+        }
+
+    async with (
+        open_storage_client() as (_, storage),
+
+        maybe_open_oi_feed(
+            instruments,
+        ) as oi_feed,
+    ):
+        # Initialize QApplication
+        app = QApplication(sys.argv)
+
+        win = pg.GraphicsLayoutWidget(show=True)
+        win.setWindowTitle('Calls (blue) vs Puts (red)')
+
+        plot = win.addPlot(title='OI by Strikes')
+        plot.showGrid(x=True, y=True)
+        print('Plot initialized...')
+
+        async for msg in oi_feed:
+
+            # In memory oi_by_strikes dict, all message are filtered here
+            # and the dict is updated with the open interest data
+            update_oi_by_strikes(msg)
+
+            # Write on file using storage client
+            await write_open_interest_on_file(msg, storage)
+
+            # Max pain calcs, before start we must gather all the open interest for
+            # all the strike prices and option types available for a expiration date
+            if check_if_complete(oi_by_strikes):
+                if 'oi' == msg[0]:
+                    # Here we must read for the filesystem all the latest open interest value for
+                    # each instrument for that specific expiration date, that means look up for the
+                    # last update got the instrument btc-{expity_date}-*oi1s.parquet (1s because is
+                    # hardcoded to something, sorry.)
+                    timestamp = msg[1]['timestamp']
+                    max_pain = get_max_pain(oi_by_strikes)
+                    # intrinsic_values = get_total_intrinsic_values(oi_by_strikes)
+
+                    # graph here
+                    plot_graph(oi_by_strikes, plot)
+
+                    # TODO, use a single multiline string with `()`
+                    # and drop the multiple `print()` calls (this
+                    # should be done elsewhere in this file as well!
+                    #
+                    # As per the docs,
+                    # https://docs.python.org/3/reference/lexical_analysis.html#string-literal-concatenation
+                    # you could instead do,
+                    # print(
+                    #   '-----------------------------------------------\n'
+                    #   f'timestamp: {datetime.fromtimestamp(max_pain['timestamp'])}\n'
+                    # )
+                    # WHY?
+                    # |_ less ctx-switches/calls to `print()`
+                    # |_ the `str` can then be modified / passed
+                    #   around as a variable more easily if needed in
+                    #   the future ;)
+                    #
+                    # ALSO, i believe there already is a stdlib
+                    # module to do "alignment" of text which you
+                    # could try for doing the right-side alignment,
+                    # https://docs.python.org/3/library/textwrap.html#textwrap.indent
+                    #
+                    print('-----------------------------------------------')
+                    print(f'timestamp:             {datetime.fromtimestamp(max_pain['timestamp'])}')
+                    print(f'expiry_date:           {max_pain['expiry_date']}')
+                    print(f'max_pain:              {max_pain['max_pain']:,.0f}')
+                    print(f'total intrinsic value: {max_pain['total_intrinsic_value']:,.0f}')
+                    print('-----------------------------------------------')
+
+            # Process GUI events to keep the window responsive
+            app.processEvents()
+
+
+async def main():
+
+    async with tractor.open_nursery(
+        debug_mode=True,
+        loglevel='info',
+    ) as an:
+        from tractor import log
+        log.get_console_log(level='info')
+
+        ptl: tractor.Portal = await an.start_actor(
+            'max_pain_daemon',
+            enable_modules=[__name__],
+            infect_asyncio=True,
+            # ^TODO, we can actually run this in the root-actor now
+            # if needed as per 2nd "section" in,
+            # https://pikers.dev/goodboy/tractor/pulls/2
+            #
+            # NOTE, will first require us porting to modern
+            # `tractor:main` though ofc!
+
+        )
+        await ptl.run(max_pain_daemon)
+
+
+if __name__ == '__main__':
+    trio.run(main)

examples/max_pain_readme.rst

@@ -0,0 +1,29 @@
+## Max Pain Calculation for Deribit Options
+
+This feature, which calculates the max pain point for options traded
+on the Deribit exchange using cryptofeed library.
+
+- Functions in the api module for fetching options data from Deribit.
+  [commit](https://pikers.dev/pikers/piker/commit/da55856dd2876291f55a06eb0561438a912d8241)
+
+- Compute the max pain point based on open interest data using
+  deribit's api.
+  [commit](https://pikers.dev/pikers/piker/commit/0d9d6e15ba0edeb662ec97f7599dd66af3046b94)
+
+### How to test it?
+
+**Before start:** in order to get this working with `uv`,  you
+**must** use my [`tractor` fork](https://pikers.dev/ntorres/tractor/src/branch/aio_abandons)
+and this branch: `aio_abandons`, the reason is that I cherry-pick the
+`uv_migration` that guille made, for some reason that a didn't dive
+into, in my system y need tractor using `uv` too. quite hacky
+I guess.
+
+1. `uv lock`
+
+2. `uv run --no-dev python examples/max_pain.py`
+
+3. A message should be display, enter one of the expiration date
+   available.
+
+4. The script should be up and running.

flake.lock

@@ -1,24 +1,135 @@
 {
   "nodes": {
-    "nixpkgs": {
+    "flake-utils": {
+      "inputs": {
+        "systems": "systems"
+      },
       "locked": {
-        "lastModified": 1765779637,
-        "narHash": "sha256-KJ2wa/BLSrTqDjbfyNx70ov/HdgNBCBBSQP3BIzKnv4=",
-        "owner": "nixos",
-        "repo": "nixpkgs",
-        "rev": "1306659b587dc277866c7b69eb97e5f07864d8c4",
+        "lastModified": 1689068808,
+        "narHash": "sha256-6ixXo3wt24N/melDWjq70UuHQLxGV8jZvooRanIHXw0=",
+        "owner": "numtide",
+        "repo": "flake-utils",
+        "rev": "919d646de7be200f3bf08cb76ae1f09402b6f9b4",
         "type": "github"
       },
       "original": {
-        "owner": "nixos",
+        "owner": "numtide",
+        "repo": "flake-utils",
+        "type": "github"
+      }
+    },
+    "flake-utils_2": {
+      "inputs": {
+        "systems": "systems_2"
+      },
+      "locked": {
+        "lastModified": 1689068808,
+        "narHash": "sha256-6ixXo3wt24N/melDWjq70UuHQLxGV8jZvooRanIHXw0=",
+        "owner": "numtide",
+        "repo": "flake-utils",
+        "rev": "919d646de7be200f3bf08cb76ae1f09402b6f9b4",
+        "type": "github"
+      },
+      "original": {
+        "owner": "numtide",
+        "repo": "flake-utils",
+        "type": "github"
+      }
+    },
+    "nix-github-actions": {
+      "inputs": {
+        "nixpkgs": [
+          "poetry2nix",
+          "nixpkgs"
+        ]
+      },
+      "locked": {
+        "lastModified": 1688870561,
+        "narHash": "sha256-4UYkifnPEw1nAzqqPOTL2MvWtm3sNGw1UTYTalkTcGY=",
+        "owner": "nix-community",
+        "repo": "nix-github-actions",
+        "rev": "165b1650b753316aa7f1787f3005a8d2da0f5301",
+        "type": "github"
+      },
+      "original": {
+        "owner": "nix-community",
+        "repo": "nix-github-actions",
+        "type": "github"
+      }
+    },
+    "nixpkgs": {
+      "locked": {
+        "lastModified": 1692174805,
+        "narHash": "sha256-xmNPFDi/AUMIxwgOH/IVom55Dks34u1g7sFKKebxUm0=",
+        "owner": "NixOS",
+        "repo": "nixpkgs",
+        "rev": "caac0eb6bdcad0b32cb2522e03e4002c8975c62e",
+        "type": "github"
+      },
+      "original": {
+        "owner": "NixOS",
         "ref": "nixos-unstable",
         "repo": "nixpkgs",
         "type": "github"
       }
     },
+    "poetry2nix": {
+      "inputs": {
+        "flake-utils": "flake-utils_2",
+        "nix-github-actions": "nix-github-actions",
+        "nixpkgs": [
+          "nixpkgs"
+        ]
+      },
+      "locked": {
+        "lastModified": 1692048894,
+        "narHash": "sha256-cDw03rso2V4CDc3Mll0cHN+ztzysAvdI8pJ7ybbz714=",
+        "ref": "refs/heads/pyqt6",
+        "rev": "b059ad4c3051f45d6c912e17747aae37a9ec1544",
+        "revCount": 2276,
+        "type": "git",
+        "url": "file:///home/lord_fomo/repos/poetry2nix"
+      },
+      "original": {
+        "type": "git",
+        "url": "file:///home/lord_fomo/repos/poetry2nix"
+      }
+    },
     "root": {
       "inputs": {
-        "nixpkgs": "nixpkgs"
+        "flake-utils": "flake-utils",
+        "nixpkgs": "nixpkgs",
+        "poetry2nix": "poetry2nix"
+      }
+    },
+    "systems": {
+      "locked": {
+        "lastModified": 1681028828,
+        "narHash": "sha256-Vy1rq5AaRuLzOxct8nz4T6wlgyUR7zLU309k9mBC768=",
+        "owner": "nix-systems",
+        "repo": "default",
+        "rev": "da67096a3b9bf56a91d16901293e51ba5b49a27e",
+        "type": "github"
+      },
+      "original": {
+        "owner": "nix-systems",
+        "repo": "default",
+        "type": "github"
+      }
+    },
+    "systems_2": {
+      "locked": {
+        "lastModified": 1681028828,
+        "narHash": "sha256-Vy1rq5AaRuLzOxct8nz4T6wlgyUR7zLU309k9mBC768=",
+        "owner": "nix-systems",
+        "repo": "default",
+        "rev": "da67096a3b9bf56a91d16901293e51ba5b49a27e",
+        "type": "github"
+      },
+      "original": {
+        "owner": "nix-systems",
+        "repo": "default",
+        "type": "github"
       }
     }
   },

flake.nix

@@ -1,103 +1,180 @@
-# An "impure" template thx to `pyproject.nix`,
-# https://pyproject-nix.github.io/pyproject.nix/templates.html#impure
-# https://github.com/pyproject-nix/pyproject.nix/blob/master/templates/impure/flake.nix
-{
-  description = "An impure `piker` overlay using `uv` with Nix(OS)";
+# NOTE: to convert to a poetry2nix env like this here are the
+# steps:
+# - install poetry in your system nix config
+# - convert the repo to use poetry using `poetry init`:
+#   https://python-poetry.org/docs/basic-usage/#initialising-a-pre-existing-project
+# - then manually ensuring all deps are converted over:
+# - add this file to the repo and commit it
+# - 
 
-  inputs = {
-    nixpkgs.url = "github:nixos/nixpkgs/nixos-unstable";
+# GROKin tips:
+# - CLI eps are (ostensibly) added via an `entry_points.txt`:
+#   - https://packaging.python.org/en/latest/specifications/entry-points/#file-format
+#   - https://github.com/nix-community/poetry2nix/blob/master/editable.nix#L49
+{
+  description = "piker: trading gear for hackers (pkged with poetry2nix)";
+
+  inputs.flake-utils.url = "github:numtide/flake-utils";
+  inputs.nixpkgs.url = "github:NixOS/nixpkgs/nixos-unstable";
+
+  # see https://github.com/nix-community/poetry2nix/tree/master#api
+  inputs.poetry2nix = {
+    # url = "github:nix-community/poetry2nix";
+    # url = "github:K900/poetry2nix/qt5-explicit-deps";
+    url = "/home/lord_fomo/repos/poetry2nix";
+
+    inputs.nixpkgs.follows = "nixpkgs";
   };
 
-  outputs =
-    { nixpkgs, ... }:
-    let
-      inherit (nixpkgs) lib;
-      forAllSystems = lib.genAttrs lib.systems.flakeExposed;
-    in
-    {
-      devShells = forAllSystems (
-        system:
-        let
-          pkgs = nixpkgs.legacyPackages.${system};
+  outputs = {
+    self,
+    nixpkgs,
+    flake-utils,
+    poetry2nix,
+  }:
+    # TODO: build cross-OS and use the `${system}` var thingy..
+    flake-utils.lib.eachDefaultSystem (system:
+      let
+        # use PWD as sources
+        projectDir = ./.;
+        pyproject = ./pyproject.toml;
+        poetrylock = ./poetry.lock;
 
-          # do store-path extractions
-          qt6baseStorePath = lib.getLib pkgs.qt6.qtbase;
-          # ?TODO? can remove below since manual linking not needed?
-          # qt6QtWaylandStorePath = lib.getLib pkgs.qt6.qtwayland;
+        # TODO: port to 3.11 and support both versions?
+        python = "python3.10";
 
-          # XXX NOTE XXX, for now we overlay specific pkgs via
-          # a major-version-pinned-`cpython`
-          cpython = "python313";
-          pypkgs = pkgs."${cpython}Packages";
-        in
-        {
-          default = pkgs.mkShell {
+        # for more functions and examples.
+        # inherit
+        # (poetry2nix.legacyPackages.${system})
+        # mkPoetryApplication;
+        # pkgs = nixpkgs.legacyPackages.${system};
 
-            packages = with pkgs; [
-              # XXX, ensure sh completions active!
-              bashInteractive
-              bash-completion
+        pkgs = nixpkgs.legacyPackages.x86_64-linux;
+        lib = pkgs.lib;
+        p2npkgs = poetry2nix.legacyPackages.x86_64-linux;
 
-              # dev utils
-              ruff
-              pypkgs.ruff
+        # define all pkg overrides per dep, see edgecases.md:
+        # https://github.com/nix-community/poetry2nix/blob/master/docs/edgecases.md
+        # TODO: add these into the json file:
+        # https://github.com/nix-community/poetry2nix/blob/master/overrides/build-systems.json
+        pypkgs-build-requirements = {
+          asyncvnc = [ "setuptools" ];
+          eventkit = [ "setuptools" ];
+          ib-insync = [ "setuptools" "flake8" ];
+          msgspec = [ "setuptools"];
+          pdbp = [ "setuptools" ];
+          pyqt6-sip = [ "setuptools" ];
+          tabcompleter = [ "setuptools" ];
+          tractor = [ "setuptools" ];
+          tricycle = [ "setuptools" ];
+          trio-typing = [ "setuptools" ];
+          trio-util = [ "setuptools" ];
+          xonsh = [ "setuptools" ];
+        };
 
-              qt6.qtwayland
-              qt6.qtbase
+        # auto-generate override entries
+        p2n-overrides = p2npkgs.defaultPoetryOverrides.extend (self: super:
+          builtins.mapAttrs (package: build-requirements:
+            (builtins.getAttr package super).overridePythonAttrs (old: {
+              buildInputs = (
+                old.buildInputs or [ ]
+              ) ++ (
+                builtins.map (
+                  pkg: if builtins.isString pkg then builtins.getAttr pkg super else pkg
+                  ) build-requirements
+              );
+            })
+          ) pypkgs-build-requirements
+        );
 
-              uv
-              python313  # ?TODO^ how to set from `cpython` above?
-              pypkgs.pyqt6
-              pypkgs.pyqt6-sip
-              pypkgs.qtpy
-              pypkgs.qdarkstyle
-              pypkgs.rapidfuzz
-            ];
+        # override some ahead-of-time compiled extensions
+        # to be built with their wheels.
+        ahot_overrides = p2n-overrides.extend(
+          final: prev: {
 
-            shellHook = ''
-              # unmask to debug **this** dev-shell-hook
-              # set -e
+            # llvmlite = prev.llvmlite.override {
+            #   preferWheel = false;
+            # };
 
-              # set qt-base/plugin path(s)
-              QTBASE_PATH="${qt6baseStorePath}/lib"
-              QT_PLUGIN_PATH="${qt6baseStorePath}/lib/qt-6/plugins"
-              QT_QPA_PLATFORM_PLUGIN_PATH="$QT_PLUGIN_PATH/platforms"
+            # TODO: get this workin with p2n and nixpkgs..
+            # pyqt6 = prev.pyqt6.override {
+            #   preferWheel = true;
+            # };
 
-              # link in Qt cc lib paths from <nixpkgs>
-              LD_LIBRARY_PATH="$LD_LIBRARY_PATH:$QTBASE_PATH"
-              LD_LIBRARY_PATH="$LD_LIBRARY_PATH:$QT_PLUGIN_PATH"
-              LD_LIBRARY_PATH="$LD_LIBRARY_PATH:$QT_QPA_PLATFORM_PLUGIN_PATH"
+            # NOTE: this DOESN'T work atm but after a fix
+            # to poetry2nix, it will and actually this line
+            # won't be needed - thanks @k900:
+            # https://github.com/nix-community/poetry2nix/pull/1257
+            pyqt5 = prev.pyqt5.override {
+              # withWebkit = false;
+              preferWheel = true;
+            };
 
-              # link-in c++ stdlib for various AOT-ext-pkgs (numpy, etc.)
-              LD_LIBRARY_PATH="${pkgs.stdenv.cc.cc.lib}/lib:$LD_LIBRARY_PATH"
+            # see PR from @k900:
+            # https://github.com/nix-community/poetry2nix/pull/1257
+            # pyqt5-qt5 = prev.pyqt5-qt5.override {
+            #   withWebkit = false;
+            #   preferWheel = true;
+            # };
 
-              export LD_LIBRARY_PATH
-
-              # RUNTIME-SETTINGS
-              #
-              # ------ Qt ------
-              # XXX, unmask to debug qt .so linking/loading deats
-              # export QT_DEBUG_PLUGINS=1
-              #
-              # ALSO, for *modern linux* DEs,
-              # - maybe set wayland-mode (TODO, parametrtize this!)
-              #  * a chosen wayland-mode shell-integration
-              export QT_QPA_PLATFORM="wayland"
-              export QT_WAYLAND_SHELL_INTEGRATION="xdg-shell"
-
-              # ------ uv ------
-              # - always use the ./py313/ venv-subdir
-              export UV_PROJECT_ENVIRONMENT="py313"
-              # sync project-env with all extras
-              uv sync --dev --all-extras --no-group lint
-
-              # ------ TIPS ------
-              # NOTE, to launch the py-venv installed `xonsh` (like @goodboy)
-              # run the `nix develop` cmd with,
-              # >> nix develop -c uv run xonsh
-            '';
-          };
-        }
+            # TODO: patch in an override for polars to build
+            # from src! See the details likely needed from
+            # the cryptography entry:
+            # https://github.com/nix-community/poetry2nix/blob/master/overrides/default.nix#L426-L435
+            polars = prev.polars.override {
+              preferWheel = true;
+            };
+          }
       );
-    };
+
+      # WHY!? -> output-attrs that `nix develop` scans for:
+      # https://nixos.org/manual/nix/stable/command-ref/new-cli/nix3-develop.html#flake-output-attributes
+      in
+      rec {
+        packages = {
+          # piker = poetry2nix.legacyPackages.x86_64-linux.mkPoetryEditablePackage {
+          #   editablePackageSources = { piker = ./piker; };
+
+          piker = p2npkgs.mkPoetryApplication {
+            projectDir = projectDir;
+
+            # SEE ABOVE for auto-genned input set, override
+            # buncha deps with extras.. like `setuptools` mostly.
+            # TODO: maybe propose a patch to p2n to show that you
+            # can even do this in the edgecases docs?
+            overrides = ahot_overrides;
+
+            # XXX: won't work on llvmlite..
+            # preferWheels = true;
+          };
+        };
+
+        # devShells.default = pkgs.mkShell {
+        #   projectDir = projectDir;
+        #   python = "python3.10";
+        #   overrides = ahot_overrides;
+        #   inputsFrom = [ self.packages.x86_64-linux.piker ];
+        #   packages = packages;
+        #   # packages = [ poetry2nix.packages.${system}.poetry ];
+        # };
+
+        # TODO: grok the difference here..
+        # - avoid re-cloning git repos on every develop entry..
+        # - ideally allow hacking on the src code of some deps
+        #   (tractor, pyqtgraph, tomlkit, etc.) WITHOUT having to
+        #   re-install them every time a change is made.
+        # - boot a usable xonsh inside the poetry virtualenv when
+        #   defined via a custom entry point?
+        devShells.default = p2npkgs.mkPoetryEnv {
+        # env = p2npkgs.mkPoetryEnv {
+            projectDir = projectDir;
+            python = pkgs.python310;
+            overrides = ahot_overrides;
+            editablePackageSources = packages;
+              # piker = "./";
+              # tractor = "../tractor/";
+            # };  # wut?
+        };
+      }
+    );  # end of .outputs scope
 }

piker/_testing/charts.py

@@ -0,0 +1,81 @@
+# manual label testing cruft
+import trio
+import tractor
+
+
+async def test_bed(
+    ohlcv,
+    chart,
+    lc,
+):
+    from ._graphics._lines import order_line
+
+    sleep = 6
+
+    # from PyQt5.QtCore import QPointF
+    vb = chart._vb
+    # scene = vb.scene()
+
+    # raxis = chart.getAxis('right')
+    # vb_right = vb.boundingRect().right()
+
+    last, i_end = ohlcv.array[-1][['close', 'index']]
+
+    line = order_line(
+        chart,
+        level=last,
+        level_digits=2
+    )
+    # eps = line.getEndpoints()
+
+    # llabel = line._labels[1][1]
+
+    line.update_labels({'level': last})
+    return
+
+    # rl = eps[1]
+    # rlabel.setPos(rl)
+
+    # ti = pg.TextItem(text='Fuck you')
+    # ti.setPos(pg.Point(i_end, last))
+    # ti.setParentItem(line)
+    # ti.setAnchor(pg.Point(1, 1))
+    # vb.addItem(ti)
+    # chart.plotItem.addItem(ti)
+
+    from ._label import Label
+
+    txt = Label(
+        vb,
+        fmt_str='fuck {it}',
+    )
+    txt.format(it='boy')
+    txt.place_on_scene('left')
+    txt.set_view_y(last)
+
+    # txt = QtGui.QGraphicsTextItem()
+    # txt.setPlainText("FUCK YOU")
+    # txt.setFont(_font.font)
+    # txt.setDefaultTextColor(pg.mkColor(hcolor('bracket')))
+    # # txt.setParentItem(vb)
+    # w = txt.boundingRect().width()
+    # scene.addItem(txt)
+
+    # txt.setParentItem(line)
+    # d_coords = vb.mapFromView(QPointF(i_end, last))
+    # txt.setPos(vb_right - w, d_coords.y())
+    # txt.show()
+    # txt.update()
+
+    # rlabel.setPos(vb_right - 2*w, d_coords.y())
+    # rlabel.show()
+
+    i = 0
+    while True:
+        await trio.sleep(sleep)
+        await tractor.breakpoint()
+        txt.format(it=f'dog_{i}')
+        # d_coords = vb.mapFromView(QPointF(i_end, last))
+        # txt.setPos(vb_right - w, d_coords.y())
+        # txt.setPlainText(f"FUCK YOU {i}")
+        i += 1

piker/accounting/__init__.py

@@ -19,10 +19,8 @@
 for tendiez.
 
 '''
-from piker.log import (
-    get_console_log,
-    get_logger,
-)
+from ..log import get_logger
+
 from .calc import (
     iter_by_dt,
 )
@@ -35,6 +33,7 @@ from ._pos import (
     Account,
     load_account,
     load_account_from_ledger,
+    open_pps,
     open_account,
     Position,
 )
@@ -53,17 +52,7 @@ from ._allocate import (
 
 
 log = get_logger(__name__)
-# ?TODO, enable console on import
-# [ ] necessary? or `open_brokerd_dialog()` doing it is sufficient?
-#
-# bc might as well enable whenev imported by
-# other sub-sys code (namely `.clearing`).
-get_console_log(
-    level='warning',
-    name=__name__,
-)
 
-# TODO, the `as <samename>` style?
 __all__ = [
     'Account',
     'Allocator',
@@ -79,6 +68,7 @@ __all__ = [
     'load_account_from_ledger',
     'mk_allocator',
     'open_account',
+    'open_pps',
     'open_trade_ledger',
     'unpack_fqme',
     'DerivTypes',

piker/accounting/_ledger.py

@@ -40,7 +40,7 @@ import tomli_w  # for fast ledger writing
 
 from piker.types import Struct
 from piker import config
-from piker.log import get_logger
+from ..log import get_logger
 from .calc import (
     iter_by_dt,
 )
@@ -239,9 +239,7 @@ class TransactionLedger(UserDict):
 
         symcache: SymbologyCache = self._symcache
         towrite: dict[str, Any] = {}
-        for tid, txdict in self.tx_sort(
-            self.data.copy()
-        ):
+        for tid, txdict in self.tx_sort(self.data.copy()):
             # write blank-str expiry for non-expiring assets
             if (
                 'expiry' in txdict
@@ -379,7 +377,7 @@ def open_trade_ledger(
         account,
         dirpath=_fp,
     )
-    cpy: dict = ledger_dict.copy()
+    cpy = ledger_dict.copy()
 
     # XXX NOTE: if not provided presume we are being called from
     # sync code and need to maybe run `trio` to generate..
@@ -408,13 +406,7 @@ def open_trade_ledger(
         account=account,
         mod=mod,
         symcache=symcache,
-
-        # NOTE: allow backends to provide custom ledger sorting
-        tx_sort=getattr(
-            mod,
-            'tx_sort',
-            tx_sort,
-        ),
+        tx_sort=getattr(mod, 'tx_sort', tx_sort),
     )
     try:
         yield ledger

piker/accounting/_mktinfo.py

@@ -305,8 +305,8 @@ class MktPair(Struct, frozen=True):
     # config right?
     # src_type: AssetTypeName
 
-    # for derivs, info describing contract, egs. strike price, call
-    # or put, swap type, exercise model, etc.
+    # for derivs, info describing contract, egs.
+    # strike price, call or put, swap type, exercise model, etc.
     contract_info: list[str] | None = None
 
     # TODO: rename to sectype since all of these can

piker/accounting/_pos.py

@@ -30,8 +30,7 @@ from types import ModuleType
 from typing import (
     Any,
     Iterator,
-    Generator,
-    TYPE_CHECKING,
+    Generator
 )
 
 import pendulum
@@ -60,16 +59,10 @@ from ..clearing._messages import (
     BrokerdPosition,
 )
 from piker.types import Struct
-from piker.log import (
-    get_logger,
-)
+from piker.data._symcache import SymbologyCache
+from ..log import get_logger
 
-if TYPE_CHECKING:
-    from piker.data._symcache import SymbologyCache
-
-log = get_logger(
-    name=__name__,
-)
+log = get_logger(__name__)
 
 
 class Position(Struct):
@@ -360,12 +353,13 @@ class Position(Struct):
     ) -> bool:
         '''
         Update clearing table by calculating the rolling ppu and
-        (accumulative) size in both the clears entry and local attrs
-        state.
+        (accumulative) size in both the clears entry and local
+        attrs state.
 
         Inserts are always done in datetime sorted order.
 
         '''
+        # added: bool = False
         tid: str = t.tid
         if tid in self._events:
             log.debug(
@@ -373,7 +367,7 @@ class Position(Struct):
                 f'\n'
                 f'{t}\n'
             )
-            return False
+            # return added
 
         # TODO: apparently this IS possible with a dict but not
         # common and probably not that beneficial unless we're also
@@ -454,12 +448,6 @@ class Position(Struct):
     # def suggest_split(self) -> float:
     #     ...
 
-    # ?TODO, for sending rendered state over the wire?
-    # def summary(self) -> PositionSummary:
-        # do minimal conversion to a subset of fields
-        # currently defined in `.clearing._messages.BrokerdPosition`
-
-
 
 class Account(Struct):
     '''
@@ -503,23 +491,12 @@ class Account(Struct):
 
     def update_from_ledger(
         self,
-        ledger: TransactionLedger|dict[str, Transaction],
+        ledger: TransactionLedger | dict[str, Transaction],
         cost_scalar: float = 2,
-        symcache: SymbologyCache|None = None,
+        symcache: SymbologyCache | None = None,
 
         _mktmap_table: dict[str, MktPair] | None = None,
 
-        only_require: list[str]|True = True,
-        # ^list of fqmes that are "required" to be processed from
-        # this ledger pass; we often don't care about others and
-        # definitely shouldn't always error in such cases.
-        # (eg. broker backend loaded that doesn't yet supsport the
-        # symcache but also, inside the paper engine we don't ad-hoc
-        # request `get_mkt_info()` for every symbol in the ledger,
-        # only the one for which we're simulating against).
-        # TODO, not sure if there's a better soln for this, ideally
-        # all backends get symcache support afap i guess..
-
     ) -> dict[str, Position]:
         '''
         Update the internal `.pps[str, Position]` table from input
@@ -562,32 +539,11 @@ class Account(Struct):
                 if _mktmap_table is None:
                     raise
 
-                required: bool = (
-                    only_require is True
-                    or (
-                        only_require is not True
-                        and
-                        fqme in only_require
-                    )
-                )
                 # XXX: caller is allowed to provide a fallback
                 # mktmap table for the case where a new position is
                 # being added and the preloaded symcache didn't
                 # have this entry prior (eg. with frickin IB..)
-                if (
-                    not (mkt := _mktmap_table.get(fqme))
-                    and
-                    required
-                ):
-                    raise
-
-                elif not required:
-                    continue
-
-                else:
-                    # should be an entry retreived somewhere
-                    assert mkt
-
+                mkt = _mktmap_table[fqme]
 
             if not (pos := pps.get(bs_mktid)):
 
@@ -704,7 +660,7 @@ class Account(Struct):
     def write_config(self) -> None:
         '''
         Write the current account state to the user's account TOML file, normally
-        something like `pps.toml`.
+        something like ``pps.toml``.
 
         '''
         # TODO: show diff output?
@@ -758,7 +714,7 @@ class Account(Struct):
         # XXX WTF: if we use a tomlkit.Integer here we get this
         # super weird --1 thing going on for cumsize!?1!
         # NOTE: the fix was to always float() the size value loaded
-        # in open_account() below!
+        # in open_pps() below!
         config.write(
             config=self.conf,
             path=self.conf_path,
@@ -942,6 +898,7 @@ def open_account(
             clears_table['dt'] = dt
             trans.append(Transaction(
                 fqme=bs_mktid,
+                # sym=mkt,
                 bs_mktid=bs_mktid,
                 tid=tid,
                 # XXX: not sure why sometimes these are loaded as
@@ -964,22 +921,11 @@ def open_account(
         ):
             expiry: pendulum.DateTime = pendulum.parse(expiry)
 
-        # !XXX, should never be duplicates over
-        # a backend-(broker)-system's unique market-IDs!
-        if pos := pp_objs.get(bs_mktid):
-            if mkt != pos.mkt:
-                log.warning(
-                    f'Duplicated position but diff `MktPair.fqme` ??\n'
-                    f'bs_mktid: {bs_mktid!r}\n'
-                    f'pos.mkt: {pos.mkt}\n'
-                    f'mkt: {mkt}\n'
-                )
-        else:
-            pos = pp_objs[bs_mktid] = Position(
-                mkt,
-                split_ratio=split_ratio,
-                bs_mktid=bs_mktid,
-            )
+        pp = pp_objs[bs_mktid] = Position(
+            mkt,
+            split_ratio=split_ratio,
+            bs_mktid=bs_mktid,
+        )
 
         # XXX: super critical, we need to be sure to include
         # all pps.toml clears to avoid reusing clears that were
@@ -987,13 +933,8 @@ def open_account(
         # state, since today's records may have already been
         # processed!
         for t in trans:
-            added: bool = pos.add_clear(t)
-            if not added:
-                log.warning(
-                    f'Txn already recorded in pp ??\n'
-                    f'\n'
-                    f'{t}\n'
-                )
+            pp.add_clear(t)
+
     try:
         yield acnt
     finally:
@@ -1001,6 +942,20 @@ def open_account(
             acnt.write_config()
 
 
+# TODO: drop the old name and THIS!
+@cm
+def open_pps(
+    *args,
+    **kwargs,
+) -> Generator[Account, None, None]:
+    log.warning(
+        '`open_pps()` is now deprecated!\n'
+        'Please use `with open_account() as cnt:`'
+    )
+    with open_account(*args, **kwargs) as acnt:
+        yield acnt
+
+
 def load_account_from_ledger(
 
     brokername: str,

piker/accounting/calc.py

@@ -32,7 +32,6 @@ from typing import (
     TYPE_CHECKING,
 )
 
-from tractor.devx import maybe_open_crash_handler
 import polars as pl
 from pendulum import (
     DateTime,
@@ -268,6 +267,9 @@ def iter_by_dt(
                     (v := tx.get(k))
                 )
             ):
+                # TODO? remove yah?
+                # v = tx[k] if isdict else tx.dt
+
                 # only call parser on the value if not None from
                 # the `parsers` table above (when NOT using
                 # `.get()`), otherwise pass through the value and
@@ -284,50 +286,26 @@ def iter_by_dt(
                 return ret
 
             else:
-                log.debug(
-                    f'Parser-field not found in txn\n'
-                    f'\n'
-                    f'parser-field: {k!r}\n'
-                    f'txn: {tx!r}\n'
-                    f'\n'
-                    f'Trying next..\n'
-                )
                 continue
 
-        # XXX: we should never really get here bc it means some kinda
-        # bad txn-record (field) data..
-        #
-        # -> set the `debug_mode = True` if you want to trace such
-        # cases from REPL ;)
+        # XXX: should never get here..
         else:
-            # XXX: we should really never get here..
-            # only if a ledger record has no expected sort(able)
-            # field will we likely hit this.. like with ze IB.
-            # if no sortable field just deliver epoch?
-            log.warning(
-                'No (time) sortable field for TXN:\n'
-                f'{tx!r}\n'
-            )
-            report: str = (
-                f'No supported time-field found in txn !?\n'
-                f'\n'
-                f'supported-time-fields: {parsers!r}\n'
-                f'\n'
-                f'txn: {tx!r}\n'
-            )
             if debug:
-                with maybe_open_crash_handler(
-                    pdb=debug,
-                    raise_on_exit=False,
-                ):
-                    raise ValueError(report)
-            else:
-                log.error(report)
+                import tractor
+                with tractor.devx.maybe_open_crash_handler():
+                    raise ValueError(
+                        f'Invalid txn time ??\n'
+                        f'txn-id: {k!r}\n'
+                        f'{k!r}: {v!r}\n'
+                    )
+                        # assert v is not None, f'No valid value for `{k}`!?'
 
             if _invalid is not None:
                 _invalid.append(tx)
                 return from_timestamp(0.)
 
+                # breakpoint()
+
     entry: tuple[str, dict]|Transaction
     invalid: list = []
     for entry in sorted(
@@ -341,6 +319,8 @@ def iter_by_dt(
             log.warning(
                 f'Ignoring txn w invalid timestamp ??\n'
                 f'{pformat(entry)}\n'
+                # f'txn-id: {k!r}\n'
+                # f'{k!r}: {v!r}\n'
             )
             continue
 
@@ -406,7 +386,6 @@ def open_ledger_dfs(
     acctname: str,
 
     ledger: TransactionLedger | None = None,
-    debug_mode: bool = False,
 
     **kwargs,
 
@@ -421,10 +400,8 @@ def open_ledger_dfs(
     can update the ledger on exit.
 
     '''
-    with maybe_open_crash_handler(
-        pdb=debug_mode,
-        # raise_on_exit=False,
-    ):
+    from piker.toolz import open_crash_handler
+    with open_crash_handler():
         if not ledger:
             import time
             from ._ledger import open_trade_ledger
@@ -516,7 +493,7 @@ def ledger_to_dfs(
 
         df = dfs[key] = ldf.with_columns([
 
-            pl.cum_sum('size').alias('cumsize'),
+            pl.cumsum('size').alias('cumsize'),
 
             # amount of source asset "sent" (via buy txns in
             # the market) to acquire the dst asset, PER txn.
@@ -531,7 +508,7 @@ def ledger_to_dfs(
         ]).with_columns([
 
             # rolling balance in src asset units
-            (pl.col('dst_bot').cum_sum() * -1).alias('src_balance'),
+            (pl.col('dst_bot').cumsum() * -1).alias('src_balance'),
 
             # "position operation type" in terms of increasing the
             # amount in the dst asset (entering) or decreasing the
@@ -673,7 +650,7 @@ def ledger_to_dfs(
                 # cost that was included in the least-recently
                 # entered txn that is still part of the current CSi
                 # set.
-                # => we look up the cost-per-unit cum_sum and apply
+                # => we look up the cost-per-unit cumsum and apply
                 # if over the current txn size (by multiplication)
                 # and then reverse that previusly applied cost on
                 # the txn_cost for this record.

piker/accounting/cli.py

@@ -21,6 +21,7 @@ CLI front end for trades ledger and position tracking management.
 from __future__ import annotations
 from pprint import pformat
 
+
 from rich.console import Console
 from rich.markdown import Markdown
 import polars as pl
@@ -28,10 +29,7 @@ import tractor
 import trio
 import typer
 
-from piker.log import (
-    get_console_log,
-    get_logger,
-)
+from ..log import get_logger
 from ..service import (
     open_piker_runtime,
 )
@@ -47,7 +45,6 @@ from .calc import (
     open_ledger_dfs,
 )
 
-log = get_logger(name=__name__)
 
 ledger = typer.Typer()
 
@@ -82,10 +79,7 @@ def sync(
         "-l",
     ),
 ):
-    log = get_console_log(
-        level=loglevel,
-        name=__name__,
-    )
+    log = get_logger(loglevel)
     console = Console()
 
     pair: tuple[str, str]
@@ -306,8 +300,7 @@ def disect(
         assert not df.is_empty()
 
         # muck around in pdbp REPL
-        # tractor.devx.mk_pdb().set_trace()
-        # breakpoint()
+        breakpoint()
 
         # TODO: we REALLY need a better console REPL for this
         # kinda thing..

piker/brokers/__init__.py

@@ -25,16 +25,15 @@ from types import ModuleType
 
 from tractor.trionics import maybe_open_context
 
-from piker.log import (
-    get_logger,
-)
 from ._util import (
+    log,
     BrokerError,
     SymbolNotFound,
     NoData,
     DataUnavailable,
     DataThrottle,
     resproc,
+    get_logger,
 )
 
 __all__: list[str] = [
@@ -44,6 +43,7 @@ __all__: list[str] = [
     'DataUnavailable',
     'DataThrottle',
     'resproc',
+    'get_logger',
 ]
 
 __brokers__: list[str] = [
@@ -51,6 +51,7 @@ __brokers__: list[str] = [
     'ib',
     'kraken',
     'kucoin',
+    'deribit',
 
     # broken but used to work
     # 'questrade',
@@ -61,14 +62,9 @@ __brokers__: list[str] = [
     # wstrade
     # iex
 
-    # deribit
     # bitso
 ]
 
-log = get_logger(
-    name=__name__,
-)
-
 
 def get_brokermod(brokername: str) -> ModuleType:
     '''
@@ -102,14 +98,13 @@ async def open_cached_client(
     If one has not been setup do it and cache it.
 
     '''
-    brokermod: ModuleType = get_brokermod(brokername)
-
-    # TODO: make abstract or `typing.Protocol`
-    # client: Client
+    brokermod = get_brokermod(brokername)
     async with maybe_open_context(
         acm_func=brokermod.get_client,
         kwargs=kwargs,
+
     ) as (cache_hit, client):
+
         if cache_hit:
             log.runtime(f'Reusing existing {client}')
 

piker/brokers/_daemon.py

@@ -33,18 +33,12 @@ import exceptiongroup as eg
 import tractor
 import trio
 
-from piker.log import (
-    get_logger,
-    get_console_log,
-)
 from . import _util
 from . import get_brokermod
 
 if TYPE_CHECKING:
     from ..data import _FeedsBus
 
-log = get_logger(name=__name__)
-
 # `brokerd` enabled modules
 # TODO: move this def to the `.data` subpkg..
 # NOTE: keeping this list as small as possible is part of our caps-sec
@@ -65,7 +59,7 @@ _data_mods: str = [
 async def _setup_persistent_brokerd(
     ctx: tractor.Context,
     brokername: str,
-    loglevel: str|None = None,
+    loglevel: str | None = None,
 
 ) -> None:
     '''
@@ -78,14 +72,13 @@ async def _setup_persistent_brokerd(
     # since all hosted daemon tasks will reference this same
     # log instance's (actor local) state and thus don't require
     # any further (level) configuration on their own B)
-    actor: tractor.Actor = tractor.current_actor()
-    tll: str = actor.loglevel
-    log = get_console_log(
-        level=loglevel or tll,
+    log = _util.get_console_log(
+        loglevel or tractor.current_actor().loglevel,
         name=f'{_util.subsys}.{brokername}',
-        with_tractor_log=bool(tll),
     )
-    assert log.name == _util.subsys
+
+    # set global for this actor to this new process-wide instance B)
+    _util.log = log
 
     # further, set the log level on any broker broker specific
     # logger instance.
@@ -104,7 +97,7 @@ async def _setup_persistent_brokerd(
     # NOTE: see ep invocation details inside `.data.feed`.
     try:
         async with (
-            # tractor.trionics.collapse_eg(),
+            tractor.trionics.collapse_eg(),
             trio.open_nursery() as service_nursery
         ):
             bus: _FeedsBus = feed.get_feed_bus(
@@ -200,6 +193,7 @@ def broker_init(
 
 
 async def spawn_brokerd(
+
     brokername: str,
     loglevel: str | None = None,
 
@@ -207,10 +201,8 @@ async def spawn_brokerd(
 
 ) -> bool:
 
-    log.info(
-        f'Spawning broker-daemon,\n'
-        f'backend: {brokername!r}'
-    )
+    from piker.service._util import log  # use service mngr log
+    log.info(f'Spawning {brokername} broker daemon')
 
     (
         brokermode,
@@ -257,7 +249,7 @@ async def spawn_brokerd(
 async def maybe_spawn_brokerd(
 
     brokername: str,
-    loglevel: str|None = None,
+    loglevel: str | None = None,
 
     **pikerd_kwargs,
 
@@ -273,7 +265,8 @@ async def maybe_spawn_brokerd(
     from piker.service import maybe_spawn_daemon
 
     async with maybe_spawn_daemon(
-        service_name=f'brokerd.{brokername}',
+
+        f'brokerd.{brokername}',
         service_task_target=spawn_brokerd,
         spawn_args={
             'brokername': brokername,

piker/brokers/_util.py

@@ -19,13 +19,15 @@ Handy cross-broker utils.
 
 """
 from __future__ import annotations
-# from functools import partial
+from functools import partial
 
 import json
 import httpx
 import logging
 
-from piker.log import (
+from ..log import (
+    get_logger,
+    get_console_log,
     colorize_json,
 )
 subsys: str = 'piker.brokers'
@@ -33,22 +35,12 @@ subsys: str = 'piker.brokers'
 # NOTE: level should be reset by any actor that is spawned
 # as well as given a (more) explicit name/key such
 # as `piker.brokers.binance` matching the subpkg.
-# log = get_logger(subsys)
+log = get_logger(subsys)
 
-# ?TODO?? we could use this approach, but we need to be able
-# to pass multiple `name=` values so for example we can include the
-# emissions in `.accounting._pos` and others!
-# [ ] maybe we could do the `log = get_logger()` above,
-# then cycle through the list of subsys mods we depend on
-# and then get all their loggers and pass them to
-# `get_console_log(logger=)`??
-# [ ] OR just write THIS `get_console_log()` as a hook which does
-# that based on who calls it?.. i dunno
-#
-# get_console_log = partial(
-#     get_console_log,
-#     name=subsys,
-# )
+get_console_log = partial(
+    get_console_log,
+    name=subsys,
+)
 
 
 class BrokerError(Exception):

piker/brokers/binance/broker.py

@@ -37,9 +37,8 @@ import trio
 from piker.accounting import (
     Asset,
 )
-from piker.log import (
+from piker.brokers._util import (
     get_logger,
-    get_console_log,
 )
 from piker.data._web_bs import (
     open_autorecon_ws,
@@ -70,9 +69,7 @@ from .venues import (
 )
 from .api import Client
 
-log = get_logger(
-    name=__name__,
-)
+log = get_logger('piker.brokers.binance')
 
 
 # Fee schedule template, mostly for paper engine fees modelling.
@@ -248,16 +245,9 @@ async def handle_order_requests(
 @tractor.context
 async def open_trade_dialog(
     ctx: tractor.Context,
-    loglevel: str = 'warning',
 
 ) -> AsyncIterator[dict[str, Any]]:
 
-    # enable piker.clearing console log for *this* `brokerd` subactor
-    get_console_log(
-        level=loglevel,
-        name=__name__,
-    )
-
     # TODO: how do we set this from the EMS such that
     # positions are loaded from the correct venue on the user
     # stream at startup? (that is in an attempt to support both

piker/brokers/binance/feed.py

@@ -64,9 +64,9 @@ from piker.data._web_bs import (
     open_autorecon_ws,
     NoBsWs,
 )
-from piker.log import get_logger
 from piker.brokers._util import (
     DataUnavailable,
+    get_logger,
 )
 
 from .api import (
@@ -78,7 +78,7 @@ from .venues import (
     get_api_eps,
 )
 
-log = get_logger(name=__name__)
+log = get_logger('piker.brokers.binance')
 
 
 class L1(Struct):
@@ -94,21 +94,18 @@ class L1(Struct):
 
 
 # validation type
-# https://developers.binance.com/docs/derivatives/usds-margined-futures/websocket-market-streams/Aggregate-Trade-Streams#response-example
 class AggTrade(Struct, frozen=True):
     e: str  # Event type
     E: int  # Event time
     s: str  # Symbol
     a: int  # Aggregate trade ID
     p: float  # Price
-    q: float  # Quantity with all the market trades
+    q: float  # Quantity
     f: int  # First trade ID
     l: int  # noqa Last trade ID
     T: int  # Trade time
     m: bool  # Is the buyer the market maker?
-    M: bool|None = None  # Ignore
-    nq: float|None = None # Normal quantity without the trades involving RPI orders
-    # ^XXX https://developers.binance.com/docs/derivatives/change-log#2025-12-29
+    M: bool | None = None  # Ignore
 
 
 async def stream_messages(
@@ -237,8 +234,8 @@ async def open_history_client(
 
         async def get_ohlc(
             timeframe: float,
-            end_dt: datetime|None = None,
-            start_dt: datetime|None = None,
+            end_dt: datetime | None = None,
+            start_dt: datetime | None = None,
 
         ) -> tuple[
             np.ndarray,
@@ -275,15 +272,9 @@ async def open_history_client(
                     f'{times}'
                 )
 
-            # XXX, debug any case where the latest 1m bar we get is
-            # already another "sample's-step-old"..
             if end_dt is None:
                 inow: int = round(time.time())
-                if (
-                    _time_step := (inow - times[-1])
-                    >
-                    timeframe * 2
-                ):
+                if (inow - times[-1]) > 60:
                     await tractor.pause()
 
             start_dt = from_timestamp(times[0])
@@ -297,7 +288,7 @@ async def open_history_client(
 async def get_mkt_info(
     fqme: str,
 
-) -> tuple[MktPair, Pair]|None:
+) -> tuple[MktPair, Pair] | None:
 
     # uppercase since kraken bs_mktid is always upper
     if 'binance' not in fqme.lower():
@@ -374,7 +365,7 @@ async def get_mkt_info(
         if 'futes' in mkt_mode:
             assert isinstance(pair, FutesPair)
 
-        dst: Asset|None = assets.get(pair.bs_dst_asset)
+        dst: Asset | None = assets.get(pair.bs_dst_asset)
         if (
             not dst
             # TODO: a known asset DNE list?
@@ -433,7 +424,7 @@ async def subscribe(
     # might get ack from ws server, or maybe some
     # other msg still in transit..
     res = await ws.recv_msg()
-    subid: str|None = res.get('id')
+    subid: str | None = res.get('id')
     if subid:
         assert res['id'] == subid
 

piker/brokers/binance/venues.py

@@ -102,10 +102,7 @@ class Pair(Struct, frozen=True, kw_only=True):
     # https://developers.binance.com/docs/binance-spot-api-docs#2025-08-26
     # will become non-optional 2025-08-28?
     # https://developers.binance.com/docs/binance-spot-api-docs#future-changes
-    pegInstructionsAllowed: bool = False
-
-    # https://developers.binance.com/docs/binance-spot-api-docs#2025-12-02
-    opoAllowed: bool = False
+    pegInstructionsAllowed: bool|None = None
 
     filters: dict[
         str,
@@ -223,10 +220,7 @@ class FutesPair(Pair):
                 assert pair == self.pair  # sanity
                 return f'{expiry}'
 
-            case (
-                'PERPETUAL'
-                | 'TRADIFI_PERPETUAL'
-            ):
+            case 'PERPETUAL':
                 return 'PERP'
 
             case '':
@@ -255,10 +249,7 @@ class FutesPair(Pair):
         margin: str = self.marginAsset
 
         match ctype:
-            case (
-                'PERPETUAL'
-                | 'TRADIFI_PERPETUAL'
-            ):
+            case 'PERPETUAL':
                 return f'{margin}M'
 
             case (

piker/brokers/cli.py

@@ -27,12 +27,14 @@ import click
 import trio
 import tractor
 
-from piker.cli import cli
-from piker import watchlists as wl
-from piker.log import (
+from ..cli import cli
+from .. import watchlists as wl
+from ..log import (
     colorize_json,
+)
+from ._util import (
+    log,
     get_console_log,
-    get_logger,
 )
 from ..service import (
     maybe_spawn_brokerd,
@@ -43,15 +45,12 @@ from ..brokers import (
     get_brokermod,
     data,
 )
-
-log = get_logger(
-    name=__name__,
-)
-
 DEFAULT_BROKER = 'binance'
+
 _config_dir = click.get_app_dir('piker')
 _watchlists_data_path = os.path.join(_config_dir, 'watchlists.json')
 
+
 OK = '\033[92m'
 WARNING = '\033[93m'
 FAIL = '\033[91m'
@@ -346,10 +345,7 @@ def contracts(ctx, loglevel, broker, symbol, ids):
 
     '''
     brokermod = get_brokermod(broker)
-    get_console_log(
-        level=loglevel,
-        name=__name__,
-    )
+    get_console_log(loglevel)
 
     contracts = trio.run(partial(core.contracts, brokermod, symbol))
     if not ids:
@@ -475,18 +471,13 @@ def search(
 
     '''
     # global opts
-    brokermods: list[ModuleType] = list(config['brokermods'].values())
-
-    # TODO: this is coming from the `search --pdb` NOT from
-    # the `piker --pdb` XD ..
-    # -[ ] pull from the parent click ctx's values..dumdum
-    # assert pdb
-    loglevel: str = config['loglevel']
+    brokermods = list(config['brokermods'].values())
 
     # define tractor entrypoint
     async def main(func):
+
         async with maybe_open_pikerd(
-            loglevel=loglevel,
+            loglevel=config['loglevel'],
             debug_mode=pdb,
         ):
             return await func()
@@ -499,7 +490,6 @@ def search(
                 core.symbol_search,
                 brokermods,
                 pattern,
-                loglevel=loglevel,
             ),
         )
 

piker/brokers/core.py

@@ -22,26 +22,20 @@ routines should be primitive data types where possible.
 """
 import inspect
 from types import ModuleType
-from typing import (
-    Any,
-)
+from typing import List, Dict, Any, Optional
 
 import trio
 
-from piker.log import get_logger
+from ._util import log
 from . import get_brokermod
 from ..service import maybe_spawn_brokerd
 from . import open_cached_client
 from ..accounting import MktPair
 
-log = get_logger(name=__name__)
-
 
 async def api(brokername: str, methname: str, **kwargs) -> dict:
-    '''
-    Make (proxy through) a broker API call by name and return its result.
-
-    '''
+    """Make (proxy through) a broker API call by name and return its result.
+    """
     brokermod = get_brokermod(brokername)
     async with brokermod.get_client() as client:
         meth = getattr(client, methname, None)
@@ -68,14 +62,10 @@ async def api(brokername: str, methname: str, **kwargs) -> dict:
 
 async def stocks_quote(
     brokermod: ModuleType,
-    tickers: list[str]
-
-) -> dict[str, dict[str, Any]]:
-    '''
-    Return a `dict` of snapshot quotes for the provided input
-    `tickers`: a `list` of fqmes.
-
-    '''
+    tickers: List[str]
+) -> Dict[str, Dict[str, Any]]:
+    """Return quotes dict for ``tickers``.
+    """
     async with brokermod.get_client() as client:
         return await client.quote(tickers)
 
@@ -84,15 +74,13 @@ async def stocks_quote(
 async def option_chain(
     brokermod: ModuleType,
     symbol: str,
-    date: str|None = None,
-) -> dict[str, dict[str, dict[str, Any]]]:
-    '''
-    Return option chain for ``symbol`` for ``date``.
+    date: Optional[str] = None,
+) -> Dict[str, Dict[str, Dict[str, Any]]]:
+    """Return option chain for ``symbol`` for ``date``.
 
     By default all expiries are returned. If ``date`` is provided
     then contract quotes for that single expiry are returned.
-
-    '''
+    """
     async with brokermod.get_client() as client:
         if date:
             id = int((await client.tickers2ids([symbol]))[symbol])
@@ -110,7 +98,7 @@ async def option_chain(
 # async def contracts(
 #     brokermod: ModuleType,
 #     symbol: str,
-# ) -> dict[str, dict[str, dict[str, Any]]]:
+# ) -> Dict[str, Dict[str, Dict[str, Any]]]:
 #     """Return option contracts (all expiries) for ``symbol``.
 #     """
 #     async with brokermod.get_client() as client:
@@ -122,24 +110,15 @@ async def bars(
     brokermod: ModuleType,
     symbol: str,
     **kwargs,
-) -> dict[str, dict[str, dict[str, Any]]]:
-    '''
-    Return option contracts (all expiries) for ``symbol``.
-
-    '''
+) -> Dict[str, Dict[str, Dict[str, Any]]]:
+    """Return option contracts (all expiries) for ``symbol``.
+    """
     async with brokermod.get_client() as client:
         return await client.bars(symbol, **kwargs)
 
 
-async def search_w_brokerd(
-    name: str,
-    pattern: str,
-) -> dict:
+async def search_w_brokerd(name: str, pattern: str) -> dict:
 
-    # TODO: WHY NOT WORK!?!
-    # when we `step` through the next block?
-    # import tractor
-    # await tractor.pause()
     async with open_cached_client(name) as client:
 
         # TODO: support multiple asset type concurrent searches.
@@ -149,15 +128,14 @@ async def search_w_brokerd(
 async def symbol_search(
     brokermods: list[ModuleType],
     pattern: str,
-    loglevel: str = 'warning',
     **kwargs,
 
-) -> dict[str, dict[str, dict[str, Any]]]:
+) -> Dict[str, Dict[str, Dict[str, Any]]]:
     '''
     Return symbol info from broker.
 
     '''
-    results: list[str] = []
+    results = []
 
     async def search_backend(
         brokermod: ModuleType
@@ -165,13 +143,6 @@ async def symbol_search(
 
         brokername: str = mod.name
 
-        # TODO: figure this the FUCK OUT
-        # -> ok so obvi in the root actor any async task that's
-        # spawned outside the main tractor-root-actor task needs to
-        # call this..
-        # await tractor.devx._debug.maybe_init_greenback()
-        # tractor.pause_from_sync()
-
         async with maybe_spawn_brokerd(
             mod.name,
             infect_asyncio=getattr(
@@ -179,7 +150,6 @@ async def symbol_search(
                 '_infect_asyncio',
                 False,
             ),
-            loglevel=loglevel
         ) as portal:
 
             results.append((
@@ -192,6 +162,7 @@ async def symbol_search(
             ))
 
     async with trio.open_nursery() as n:
+
         for mod in brokermods:
             n.start_soon(search_backend, mod.name)
 
@@ -201,13 +172,11 @@ async def symbol_search(
 async def mkt_info(
     brokermod: ModuleType,
     fqme: str,
-
     **kwargs,
 
 ) -> MktPair:
     '''
-    Return the `piker.accounting.MktPair` info struct from a given
-    backend broker tradable src/dst asset pair.
+    Return MktPair info from broker including src and dst assets.
 
     '''
     async with open_cached_client(brokermod.name) as client:

piker/brokers/data.py

@@ -41,15 +41,12 @@ import tractor
 from tractor.experimental import msgpub
 from async_generator import asynccontextmanager
 
-from piker.log import(
-    get_logger,
+from ._util import (
+    log,
     get_console_log,
 )
 from . import get_brokermod
 
-log = get_logger(
-    name='piker.brokers.binance',
-)
 
 async def wait_for_network(
     net_func: Callable,
@@ -246,10 +243,7 @@ async def start_quote_stream(
 
     '''
     # XXX: why do we need this again?
-    get_console_log(
-        level=tractor.current_actor().loglevel,
-        name=__name__,
-    )
+    get_console_log(tractor.current_actor().loglevel)
 
     # pull global vars from local actor
     symbols = list(symbols)

piker/brokers/deribit/__init__.py

@@ -25,6 +25,7 @@ from .api import (
     get_client,
 )
 from .feed import (
+    get_mkt_info,
     open_history_client,
     open_symbol_search,
     stream_quotes,
@@ -34,15 +35,20 @@ from .feed import (
     # open_trade_dialog,
     # norm_trade_records,
 # )
+from .venues import (
+    OptionPair,
+)
 
 log = get_logger(__name__)
 
 __all__ = [
     'get_client',
 #    'trades_dialogue',
+    'get_mkt_info',
     'open_history_client',
     'open_symbol_search',
     'stream_quotes',
+    'OptionPair',
 #    'norm_trade_records',
 ]
 

piker/brokers/deribit/feed.py

@@ -18,38 +18,59 @@
 Deribit backend.
 
 '''
+from __future__ import annotations
 from contextlib import asynccontextmanager as acm
 from datetime import datetime
-from typing import Any, Optional, Callable
+from typing import (
+    # Any,
+    # Optional,
+    Callable,
+)
+# from pprint import pformat
 import time
 
+import cryptofeed
 import trio
 from trio_typing import TaskStatus
-import pendulum
-from rapidfuzz import process as fuzzy
+from pendulum import (
+    from_timestamp,
+)
 import numpy as np
 import tractor
 
-from piker.brokers import open_cached_client
-from piker.log import get_logger, get_console_log
-from tractor.ipc._shm import ShmArray
-from piker.brokers._util import (
-    BrokerError,
+from piker.accounting import (
+    Asset,
+    MktPair,
+    unpack_fqme,
+)
+from piker.brokers import (
+    open_cached_client,
+    NoData,
     DataUnavailable,
 )
-
-from cryptofeed import FeedHandler
-from cryptofeed.defines import (
-    DERIBIT, L1_BOOK, TRADES, OPTION, CALL, PUT
+from piker._cacheables import (
+    async_lifo_cache,
 )
-from cryptofeed.symbols import Symbol
+from piker.log import (
+    get_logger,
+    mk_repr,
+)
+from piker.data.validate import FeedInit
+
 
 from .api import (
-    Client, Trade,
-    get_config,
-    str_to_cb_sym, piker_sym_to_cb_sym, cb_sym_to_deribit_inst,
+    Client,
+    # get_config,
+    piker_sym_to_cb_sym,
+    cb_sym_to_deribit_inst,
+    str_to_cb_sym,
     maybe_open_price_feed
 )
+from .venues import (
+    Pair,
+    OptionPair,
+    Trade,
+)
 
 _spawn_kwargs = {
     'infect_asyncio': True,
@@ -64,90 +85,215 @@ async def open_history_client(
     mkt: MktPair,
 ) -> tuple[Callable, int]:
 
-    fnstrument: str = mkt.bs_fqme
     # TODO implement history getter for the new storage layer.
     async with open_cached_client('deribit') as client:
 
+        pair: OptionPair = client._pairs[mkt.dst.name]
+        # XXX NOTE, the cuckers use ms !!!
+        creation_time_s: int = pair.creation_timestamp/1000
+
         async def get_ohlc(
-            end_dt: Optional[datetime] = None,
-            start_dt: Optional[datetime] = None,
+            timeframe: float,
+            end_dt: datetime | None = None,
+            start_dt: datetime | None = None,
 
         ) -> tuple[
             np.ndarray,
             datetime,  # start
             datetime,  # end
         ]:
+            if timeframe != 60:
+                raise DataUnavailable('Only 1m bars are supported')
 
-            array = await client.bars(
-                instrument,
+            array: np.ndarray = await client.bars(
+                mkt,
                 start_dt=start_dt,
                 end_dt=end_dt,
             )
             if len(array) == 0:
-                raise DataUnavailable
+                if (
+                    end_dt is None
+                ):
+                    raise DataUnavailable(
+                        'No history seems to exist yet?\n\n'
+                        f'{mkt}'
+                    )
+                elif (
+                    end_dt
+                    and
+                    end_dt.timestamp() < creation_time_s
+                ):
+                    # the contract can't have history
+                    # before it was created.
+                    pair_type_str: str = type(pair).__name__
+                    create_dt: datetime = from_timestamp(creation_time_s)
+                    raise DataUnavailable(
+                        f'No history prior to\n'
+                        f'`{pair_type_str}.creation_timestamp: int = '
+                        f'{pair.creation_timestamp}\n\n'
+                        f'------ deribit sux ------\n'
+                        f'WHICH IN "NORMAL PEOPLE WHO USE EPOCH TIME" form is,\n'
+                        f'creation_time_s: {creation_time_s}\n'
+                        f'create_dt: {create_dt}\n'
+                    )
+                raise NoData(
+                    f'No frame for {start_dt} -> {end_dt}\n'
+                )
 
-            start_dt = pendulum.from_timestamp(array[0]['time'])
-            end_dt = pendulum.from_timestamp(array[-1]['time'])
+            start_dt = from_timestamp(array[0]['time'])
+            end_dt = from_timestamp(array[-1]['time'])
+
+            times = array['time']
+            if not times.any():
+                raise ValueError(
+                    'Bad frame with null-times?\n\n'
+                    f'{times}'
+                )
+
+            if end_dt is None:
+                inow: int = round(time.time())
+                if (inow - times[-1]) > 60:
+                    await tractor.pause()
 
             return array, start_dt, end_dt
 
-        yield get_ohlc, {'erlangs': 3, 'rate': 3}
+        yield (
+            get_ohlc,
+            {  # backfill config
+                'erlangs': 3,
+                'rate': 3,
+            }
+        )
+
+
+@async_lifo_cache()
+async def get_mkt_info(
+    fqme: str,
+
+) -> tuple[MktPair, Pair|OptionPair] | None:
+
+    # uppercase since kraken bs_mktid is always upper
+    if 'deribit' not in fqme.lower():
+        fqme += '.deribit'
+
+    mkt_mode: str = ''
+    broker, mkt_ep, venue, expiry = unpack_fqme(fqme)
+
+    # NOTE: we always upper case all tokens to be consistent with
+    # binance's symbology style for pairs, like `BTCUSDT`, but in
+    # theory we could also just keep things lower case; as long as
+    # we're consistent and the symcache matches whatever this func
+    # returns, always!
+    expiry: str = expiry.upper()
+    venue: str = venue.upper()
+    # venue_lower: str = venue.lower()
+
+    mkt_mode: str = 'option'
+
+    async with open_cached_client(
+        'deribit',
+    ) as client:
+
+        assets: dict[str, Asset] = await client.get_assets()
+        pair_str: str = mkt_ep.lower()
+
+        pair: Pair = await client.exch_info(
+            sym=pair_str,
+        )
+        mkt_mode = pair.venue
+        client.mkt_mode = mkt_mode
+
+        dst: Asset | None = assets.get(pair.bs_dst_asset)
+        src: Asset | None = assets.get(pair.bs_src_asset)
+
+        mkt = MktPair(
+            dst=dst,
+            src=src,
+            price_tick=pair.price_tick,
+            size_tick=pair.size_tick,
+            bs_mktid=pair.symbol,
+            venue=mkt_mode,
+            broker='deribit',
+            _atype=mkt_mode,
+            _fqme_without_src=True,
+
+            # expiry=pair.expiry,
+            # XXX TODO, currently we don't use it since it's
+            # already "described" in the `OptionPair.symbol: str`
+            # and if we slap in the ISO repr it's kinda hideous..
+            # -[ ] figure out the best either std
+        )
+        return mkt, pair
 
 
 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:
-    # XXX: required to propagate ``tractor`` loglevel to piker logging
-    get_console_log(loglevel or tractor.current_actor().loglevel)
+    '''
+    Open a live quote stream for the market set defined by `symbols`.
 
-    sym = symbols[0]
+    Internally this starts a `cryptofeed.FeedHandler` inside an `asyncio`-side
+    task and relays through L1 and `Trade` msgs here to our `trio.Task`.
+
+    '''
+    sym = symbols[0].split('.')[0]
+    init_msgs: list[FeedInit] = []
+
+    # multiline nested `dict` formatter (since rn quote-msgs are
+    # just that).
+    pfmt: Callable[[str], str] = mk_repr(
+        # so we can see `deribit`'s delightfully mega-long bs fields..
+        maxstring=100,
+    )
 
     async with (
         open_cached_client('deribit') as client,
         send_chan as send_chan
     ):
+        mkt: MktPair
+        pair: Pair
+        mkt, pair = await get_mkt_info(sym)
 
-        init_msgs = {
-            # pass back token, and bool, signalling if we're the writer
-            # and that history has been written
-            sym: {
-                'symbol_info': {
-                    'asset_type': 'option',
-                    'price_tick_size': 0.0005
-                },
-                'shm_write_opts': {'sum_tick_vml': False},
-                'fqsn': sym,
-            },
-        }
+        # build out init msgs according to latest spec
+        init_msgs.append(
+            FeedInit(
+                mkt_info=mkt,
+            )
+        )
+        # build `cryptofeed` feed-handle
+        cf_sym: cryptofeed.Symbol = piker_sym_to_cb_sym(sym)
 
-        nsym = piker_sym_to_cb_sym(sym)
+        from_cf: tractor.to_asyncio.LinkedTaskChannel
+        async with maybe_open_price_feed(sym) as from_cf:
 
-        async with maybe_open_price_feed(sym) as stream:
+            # load the "last trades" summary
+            last_trades_res: cryptofeed.LastTradesResult = await client.last_trades(
+                cb_sym_to_deribit_inst(cf_sym),
+                count=1,
+            )
+            last_trades: list[Trade] = last_trades_res.trades
 
-            cache = await client.cache_symbols()
+            # TODO, do we even need this or will the above always
+            # work?
+            # if not last_trades:
+            #     await tractor.pause()
+            #     async for typ, quote in from_cf:
+            #         if typ == 'trade':
+            #             last_trade = Trade(**(quote['data']))
+            #             break
 
-            last_trades = (await client.last_trades(
-                cb_sym_to_deribit_inst(nsym), count=1)).trades
+            # else:
+            last_trade = Trade(
+                **(last_trades[0])
+            )
 
-            if len(last_trades) == 0:
-                last_trade = None
-                async for typ, quote in stream:
-                    if typ == 'trade':
-                        last_trade = Trade(**(quote['data']))
-                        break
-
-            else:
-                last_trade = Trade(**(last_trades[0]))
-
-            first_quote = {
+            first_quote: dict = {
                 'symbol': sym,
                 'last': last_trade.price,
                 'brokerd_ts': last_trade.timestamp,
@@ -158,13 +304,84 @@ async def stream_quotes(
                     'broker_ts': last_trade.timestamp
                 }]
             }
-            task_status.started((init_msgs,  first_quote))
+            task_status.started((
+                init_msgs,
+                first_quote,
+            ))
 
             feed_is_live.set()
 
-            async for typ, quote in stream:
-                topic = quote['symbol']
-                await send_chan.send({topic: quote})
+            # NOTE XXX, static for now!
+            # => since this only handles ONE mkt feed at a time we
+            # don't need a lookup table to map interleaved quotes
+            # from multiple possible mkt-pairs
+            topic: str = mkt.bs_fqme
+
+            # deliver until cancelled
+            async for typ, ref in from_cf:
+                match typ:
+                    case 'trade':
+                        trade: cryptofeed.types.Trade = ref
+
+                        # TODO, re-impl this according to teh ideal
+                        # fqme for opts that we choose!!
+                        bs_fqme: str = cb_sym_to_deribit_inst(
+                            str_to_cb_sym(trade.symbol)
+                        ).lower()
+
+                        piker_quote: dict = {
+                            'symbol': bs_fqme,
+                            'last': trade.price,
+                            'broker_ts': time.time(),
+                            # ^TODO, name this `brokerd/datad_ts` and
+                            # use `time.time_ns()` ??
+                            'ticks': [{
+                                'type': 'trade',
+                                'price': float(trade.price),
+                                'size': float(trade.amount),
+                                'broker_ts': trade.timestamp,
+                            }],
+                        }
+                        log.info(
+                            f'deribit {typ!r} quote for {sym!r}\n\n'
+                            f'{trade}\n\n'
+                            f'{pfmt(piker_quote)}\n'
+                        )
+
+                    case 'l1':
+                        book: cryptofeed.types.L1Book = ref
+
+                        # TODO, so this is where we can possibly change things
+                        # and instead lever the `MktPair.bs_fqme: str` output?
+                        bs_fqme: str = cb_sym_to_deribit_inst(
+                            str_to_cb_sym(book.symbol)
+                        ).lower()
+
+                        piker_quote: dict = {
+                            'symbol': bs_fqme,
+                            'ticks': [
+
+                                {'type': 'bid',
+                                 'price': float(book.bid_price),
+                                 'size': float(book.bid_size)},
+
+                                {'type': 'bsize',
+                                 'price': float(book.bid_price),
+                                 'size': float(book.bid_size),},
+
+                                {'type': 'ask',
+                                 'price': float(book.ask_price),
+                                 'size': float(book.ask_size),},
+
+                                {'type': 'asize',
+                                 'price': float(book.ask_price),
+                                 'size': float(book.ask_size),}
+                            ]
+                        }
+
+                await send_chan.send({
+                    topic: piker_quote,
+                })
 
 
 @tractor.context
@@ -174,12 +391,21 @@ async def open_symbol_search(
     async with open_cached_client('deribit') as client:
 
         # load all symbols locally for fast search
-        cache = await client.cache_symbols()
+        # cache = client._pairs
         await ctx.started()
 
         async with ctx.open_stream() as stream:
-
+            pattern: str
             async for pattern in stream:
-                # repack in dict form
-                await stream.send(
-                    await client.search_symbols(pattern))
+
+                # NOTE: pattern fuzzy-matching is done within
+                # the methd impl.
+                pairs: dict[str, Pair] = await client.search_symbols(
+                    pattern,
+                )
+                # repack in fqme-keyed table
+                byfqme: dict[str, Pair] = {}
+                for pair in pairs.values():
+                    byfqme[pair.bs_fqme] = pair
+
+                await stream.send(byfqme)

piker/brokers/deribit/venues.py

@@ -0,0 +1,196 @@
+# 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/>.
+
+"""
+Per market data-type definitions and schemas types.
+
+"""
+from __future__ import annotations
+import pendulum
+from typing import (
+    Literal,
+    Optional,
+)
+from decimal import Decimal
+
+from piker.types import Struct
+
+
+# API endpoint paths by venue / sub-API
+_domain: str = 'deribit.com'
+_url = f'https://www.{_domain}'
+
+# WEBsocketz
+_ws_url: str = f'wss://www.{_domain}/ws/api/v2'
+
+# test nets
+_testnet_ws_url: str = f'wss://test.{_domain}/ws/api/v2'
+
+MarketType = Literal[
+    'option'
+]
+
+
+def get_api_eps(venue: MarketType) -> tuple[str, str]:
+    '''
+    Return API ep root paths per venue.
+
+    '''
+    return {
+        'option': (
+            _ws_url,
+        ),
+    }[venue]
+
+
+class Pair(Struct, frozen=True, kw_only=True):
+
+    symbol: str
+
+    # src
+    quote_currency: str # 'BTC'
+
+    # dst
+    base_currency: str # "BTC",
+
+    tick_size: float # 0.0001 # [{'above_price': 0.005, 'tick_size': 0.0005}]
+    tick_size_steps: list[dict[str, float]] 
+
+    @property
+    def price_tick(self) -> Decimal:
+        return Decimal(str(self.tick_size_steps[0]['above_price']))
+
+    @property
+    def size_tick(self) -> Decimal:
+        return Decimal(str(self.tick_size))
+
+    @property
+    def bs_fqme(self) -> str:
+        return f'{self.symbol}'
+
+    @property
+    def bs_mktid(self) -> str:
+        return f'{self.symbol}.{self.venue}'
+
+
+class OptionPair(Pair, frozen=True):
+
+    taker_commission: float # 0.0003
+    strike: float # 5000.0
+    settlement_period: str # 'day'
+    settlement_currency: str # "BTC",
+    rfq: bool # false
+    price_index: str # 'btc_usd'
+    option_type: str # 'call'
+    min_trade_amount: float # 0.1
+    maker_commission: float # 0.0003
+    kind: str # 'option'
+    is_active: bool # true
+    instrument_type: str # 'reversed'
+    instrument_name: str # 'BTC-1SEP24-55000-C'
+    instrument_id: int # 364671
+    expiration_timestamp: int # 1725177600000
+    creation_timestamp: int # 1724918461000
+    counter_currency: str # 'USD' 
+    contract_size: float # '1.0'
+    block_trade_tick_size: float # '0.0001'
+    block_trade_min_trade_amount: int # '25'
+    block_trade_commission: float # '0.003'
+
+    # NOTE: see `.data._symcache.SymbologyCache.load()` for why
+    ns_path: str = 'piker.brokers.deribit:OptionPair'
+
+    # TODO, impl this without the MM:SS part of
+    # the `'THH:MM:SS..'` etc..
+    @property
+    def expiry(self) -> str:
+        iso_date = pendulum.from_timestamp(
+            self.expiration_timestamp / 1000
+        ).isoformat()
+        return iso_date 
+
+    @property
+    def venue(self) -> str:
+        return f'{self.instrument_type}_option'
+
+    @property
+    def bs_fqme(self) -> str:
+        return f'{self.symbol}'
+
+    @property
+    def bs_src_asset(self) -> str:
+        return f'{self.quote_currency}'
+
+    @property
+    def bs_dst_asset(self) -> str:
+        return f'{self.symbol}'
+
+
+PAIRTYPES: dict[MarketType, Pair] = {
+    'option': OptionPair,
+}
+
+
+class JSONRPCResult(Struct):
+    id: int
+    usIn: int
+    usOut: int
+    usDiff: int
+    testnet: bool
+    jsonrpc: str = '2.0'
+    error: Optional[dict] = None
+    result: Optional[list[dict]] = None
+
+
+class JSONRPCChannel(Struct):
+    method: str
+    params: dict
+    jsonrpc: str = '2.0'
+
+
+class KLinesResult(Struct):
+    low: list[float]
+    cost: list[float]
+    high: list[float]
+    open: list[float]
+    close: list[float]
+    ticks: list[int]
+    status: str
+    volume: list[float]
+
+
+class Trade(Struct):
+    iv: float
+    price: float
+    amount: float
+    trade_id: str
+    contracts: float
+    direction: str
+    trade_seq: int
+    timestamp: int
+    mark_price: float
+    index_price: float
+    tick_direction: int
+    instrument_name: str
+    combo_id: Optional[str] = '',
+    combo_trade_id: Optional[int] = 0,
+    block_trade_id: Optional[str] = '',
+    block_trade_leg_count: Optional[int] = 0,
+
+
+class LastTradesResult(Struct):
+    trades: list[Trade]
+    has_more: bool

piker/brokers/ib/README.rst

@@ -2,7 +2,7 @@
 --------------
 more or less the "everything broker" for traditional and international
 markets. they are the "go to" provider for automatic retail trading
-and we interface to their APIs using the `ib_async` project.
+and we interface to their APIs using the `ib_insync` project.
 
 status
 ******

piker/brokers/ib/__init__.py

@@ -22,7 +22,7 @@ Sub-modules within break into the core functionalities:
 - ``broker.py`` part for orders / trading endpoints
 - ``feed.py`` for real-time data feed endpoints
 - ``api.py`` for the core API machinery which is ``trio``-ized
-  wrapping around `ib_async`.
+  wrapping around ``ib_insync``.
 
 """
 from .api import (

piker/brokers/ib/_flex_reports.py

@@ -111,7 +111,7 @@ def load_flex_trades(
 
 ) -> dict[str, Any]:
 
-    from ib_async import flexreport, util
+    from ib_insync import flexreport, util
 
     conf = get_config()
 
@@ -154,7 +154,8 @@ def load_flex_trades(
         trade_entries,
     )
 
-    ledger_dict: dict|None
+    ledger_dict: dict | None = None
+
     for acctid in trades_by_account:
         trades_by_id = trades_by_account[acctid]
 

piker/brokers/ib/_util.py

@@ -20,7 +20,6 @@ runnable script-programs.
 
 '''
 from __future__ import annotations
-import asyncio
 from datetime import (  # noqa
     datetime,
     date,
@@ -35,13 +34,14 @@ import subprocess
 
 import tractor
 
-from piker.log import get_logger
+from piker.brokers._util import get_logger
 
 if TYPE_CHECKING:
     from .api import Client
+    from ib_insync import IB
     import i3ipc
 
-log = get_logger(name=__name__)
+log = get_logger('piker.brokers.ib')
 
 _reset_tech: Literal[
     'vnc',
@@ -62,7 +62,7 @@ no_setup_msg:str = (
 
 
 def try_xdo_manual(
-    client: Client,
+    vnc_sockaddr: str,
 ):
     '''
     Do the "manual" `xdo`-based screen switch + click
@@ -79,7 +79,6 @@ def try_xdo_manual(
         _reset_tech = 'i3ipc_xdotool'
         return True
     except OSError:
-        vnc_sockaddr: str = client.conf.vnc_addrs
         log.exception(
             no_setup_msg.format(vnc_sockaddr=vnc_sockaddr)
         )
@@ -87,6 +86,7 @@ def try_xdo_manual(
 
 
 async def data_reset_hack(
+    # vnc_host: str,
     client: Client,
     reset_type: Literal['data', 'connection'],
 
@@ -118,138 +118,94 @@ async def data_reset_hack(
           that need to be wrangle.
 
     '''
+    ib_client: IB = client.ib
+
     # look up any user defined vnc socket address mapped from
     # a particular API socket port.
-    vnc_addrs: tuple[str]|None = client.conf.get('vnc_addrs')
-    if not vnc_addrs:
+    api_port: str = str(ib_client.client.port)
+    vnc_host: str
+    vnc_port: int
+    vnc_sockaddr: tuple[str] | None = client.conf.get('vnc_addrs')
+
+    if not vnc_sockaddr:
         log.warning(
-            no_setup_msg.format(vnc_sockaddr=client.conf)
+            no_setup_msg.format(vnc_sockaddr=vnc_sockaddr)
             +
             'REQUIRES A `vnc_addrs: array` ENTRY'
         )
 
+    vnc_host, vnc_port = vnc_sockaddr.get(
+        api_port,
+        ('localhost', 3003)
+    )
     global _reset_tech
+
     match _reset_tech:
         case 'vnc':
             try:
                 await tractor.to_asyncio.run_task(
                     partial(
                         vnc_click_hack,
-                        client=client,
+                        host=vnc_host,
+                        port=vnc_port,
                     )
                 )
             except (
                 OSError,  # no VNC server avail..
                 PermissionError,  # asyncvnc pw fail..
-            ) as _vnc_err:
-                vnc_err = _vnc_err
+            ):
                 try:
                     import i3ipc  # noqa  (since a deps dynamic check)
                 except ModuleNotFoundError:
                     log.warning(
-                        no_setup_msg.format(vnc_sockaddr=client.conf)
+                        no_setup_msg.format(vnc_sockaddr=vnc_sockaddr)
                     )
                     return False
 
-                # XXX, Xorg only workaround..
-                # TODO? remove now that we have `pyvnc`?
-                # if vnc_host not in {
-                #     'localhost',
-                #     '127.0.0.1',
-                # }:
-                #     focussed, matches = i3ipc_fin_wins_titled()
-                #     if not matches:
-                #         log.warning(
-                #             no_setup_msg.format(vnc_sockaddr=vnc_sockaddr)
-                #         )
-                #         return False
-                #     else:
-                #         try_xdo_manual(vnc_sockaddr)
+                if vnc_host not in {
+                    'localhost',
+                    '127.0.0.1',
+                }:
+                    focussed, matches = i3ipc_fin_wins_titled()
+                    if not matches:
+                        log.warning(
+                            no_setup_msg.format(vnc_sockaddr=vnc_sockaddr)
+                        )
+                        return False
+                    else:
+                        try_xdo_manual(vnc_sockaddr)
 
                 # localhost but no vnc-client or it borked..
                 else:
-                    log.error(
-                        'VNC CLICK HACK FAILE with,\n'
-                        f'{vnc_err!r}\n'
-                    )
-
-                    # breakpoint()
-                    # try_xdo_manual(client)
+                    try_xdo_manual(vnc_sockaddr)
 
         case 'i3ipc_xdotool':
-            try_xdo_manual(client)
+            try_xdo_manual(vnc_sockaddr)
             # i3ipc_xdotool_manual_click_hack()
 
         case _ as tech:
-            raise RuntimeError(
-                f'{tech!r} is not supported for reset tech!?'
-            )
+            raise RuntimeError(f'{tech} is not supported for reset tech!?')
 
     # we don't really need the ``xdotool`` approach any more B)
     return True
 
 
 async def vnc_click_hack(
-    client: Client,
-    reset_type: str = 'data',
-    pw: str|None = None,
-
+    host: str,
+    port: int,
+    reset_type: str = 'data'
 ) -> None:
     '''
     Reset the data or network connection for the VNC attached
-    ib-gateway using a (magic) keybinding combo.
-
-    A vnc-server password can be set either by an input `pw` param or
-    set in the client's config with the latter loaded from the user's
-    `brokers.toml` in a vnc-addrs-port-mapping section,
-
-    .. code:: toml
-
-        [ib.vnc_addrs]
-        4002 = {host = 'localhost', port = 5900, pw = 'doggy'}
+    ib gateway using magic combos.
 
     '''
-    api_port: str = str(client.ib.client.port)
-    conf: dict = client.conf
-    vnc_addrs: dict[int, tuple] = conf.get('vnc_addrs')
-    if not vnc_addrs:
-        return None
-
-    addr_entry: dict|tuple = vnc_addrs.get(
-        api_port,
-        ('localhost', 5900)  # a typical default
-    )
-    if pw is None:
-        match addr_entry:
-            case (
-                host,
-                port,
-            ):
-                pass
-
-            case {
-                'host': host,
-                'port': port,
-                'pw': pw
-            }:
-                pass
-
-            case _:
-                raise ValueError(
-                    f'Invalid `ib.vnc_addrs` entry ?\n'
-                    f'{addr_entry!r}\n'
-                )
     try:
-        from pyvnc import (
-            AsyncVNCClient,
-            VNCConfig,
-            Point,
-            MOUSE_BUTTON_LEFT,
-        )
+        import asyncvnc
     except ModuleNotFoundError:
         log.warning(
             "In order to leverage `piker`'s built-in data reset hacks, install "
-            "the `pyvnc` project: https://github.com/regulad/pyvnc.git"
+            "the `asyncvnc` project: https://github.com/barneygale/asyncvnc"
         )
         return
 
@@ -260,54 +216,24 @@ async def vnc_click_hack(
         'connection': 'r'
     }[reset_type]
 
-    with tractor.devx.open_crash_handler(
-        ignore={TimeoutError,},
-    ):
-        client = await AsyncVNCClient.connect(
-            VNCConfig(
-                host=host,
-                port=port,
-                password=pw,
-            )
+    async with asyncvnc.connect(
+        host,
+        port=port,
+
+        # TODO: doesn't work?
+        # see, https://github.com/barneygale/asyncvnc/issues/7
+        password='doggy',
+
+    ) as client:
+
+        # move to middle of screen
+        # 640x1800
+        client.mouse.move(
+            x=500,
+            y=500,
         )
-        async with client:
-            # move to middle of screen
-            # 640x1800
-            await client.move(
-                Point(
-                    500,  # x from left
-                    400,  # y from top
-                )
-            )
-            # in case a prior dialog win is open/active.
-            await client.press('ISO_Enter')
-
-            # ensure the ib-gw window is active
-            await client.click(MOUSE_BUTTON_LEFT)
-
-            # send the hotkeys combo B)
-            await client.press(
-                'Ctrl',
-                'Alt',
-                key,
-            )  # NOTE, keys are stacked
-
-            # XXX, sometimes a dialog asking if you want to "simulate
-            # a reset" will show, in which case we want to select
-            # "Yes" (by tabbing) and then hit enter.
-            iters: int = 1
-            delay: float = 0.3
-            await asyncio.sleep(delay)
-
-            for i in range(iters):
-                log.info(f'Sending TAB {i}')
-                await client.press('Tab')
-                await asyncio.sleep(delay)
-
-            for i in range(iters):
-                log.info(f'Sending ENTER {i}')
-                await client.press('KP_Enter')
-                await asyncio.sleep(delay)
+        client.mouse.click()
+        client.keyboard.press('Ctrl', 'Alt', key)  # keys are stacked
 
 
 def i3ipc_fin_wins_titled(
@@ -361,20 +287,14 @@ def i3ipc_fin_wins_titled(
     )
 
 
+
 def i3ipc_xdotool_manual_click_hack() -> None:
     '''
     Do the data reset hack but expecting a local X-window using `xdotool`.
 
     '''
     focussed, matches = i3ipc_fin_wins_titled()
-    try:
-        orig_win_id = focussed.window
-    except AttributeError:
-        # XXX if .window cucks we prolly aren't intending to
-        # use this and/or just woke up from suspend..
-        log.exception('xdotool invalid usage ya ??\n')
-        return
-
+    orig_win_id = focussed.window
     try:
         for name, con in matches:
             print(f'Resetting data feed for {name}')
@@ -422,3 +342,99 @@ def i3ipc_xdotool_manual_click_hack() -> None:
         ])
     except subprocess.TimeoutExpired:
         log.exception('xdotool timed out?')
+
+
+
+def is_current_time_in_range(
+    start_dt: datetime,
+    end_dt: datetime,
+) -> bool:
+    '''
+    Check if current time is within the datetime range.
+
+    Use any/the-same timezone as provided by `start_dt.tzinfo` value
+    in the range.
+
+    '''
+    now: datetime = datetime.now(start_dt.tzinfo)
+    return start_dt <= now <= end_dt
+
+
+# TODO, put this into `._util` and call it from here!
+#
+# NOTE, this was generated by @guille from a gpt5 prompt
+# and was originally thot to be needed before learning about
+# `ib_insync.contract.ContractDetails._parseSessions()` and
+# it's downstream meths..
+#
+# This is still likely useful to keep for now to parse the
+# `.tradingHours: str` value manually if we ever decide
+# to move off `ib_async` and implement our own `trio`/`anyio`
+# based version Bp
+#
+# >attempt to parse the retarted ib "time stampy thing" they
+# >do for "venue hours" with this.. written by
+# >gpt5-"thinking",
+#
+
+
+def parse_trading_hours(
+    spec: str,
+    tz: TzInfo|None = None
+) -> dict[
+    date,
+    tuple[datetime, datetime]
+]|None:
+    '''
+    Parse venue hours like:
+    'YYYYMMDD:HHMM-YYYYMMDD:HHMM;YYYYMMDD:CLOSED;...'
+
+    Returns `dict[date] = (open_dt, close_dt)` or `None` if
+    closed.
+
+    '''
+    if (
+        not isinstance(spec, str)
+        or
+        not spec
+    ):
+        raise ValueError('spec must be a non-empty string')
+
+    out: dict[
+        date,
+        tuple[datetime, datetime]
+    ]|None = {}
+
+    for part in (p.strip() for p in spec.split(';') if p.strip()):
+        if part.endswith(':CLOSED'):
+            day_s, _ = part.split(':', 1)
+            d = datetime.strptime(day_s, '%Y%m%d').date()
+            out[d] = None
+            continue
+
+        try:
+            start_s, end_s = part.split('-', 1)
+            start_dt = datetime.strptime(start_s, '%Y%m%d:%H%M')
+            end_dt = datetime.strptime(end_s, '%Y%m%d:%H%M')
+        except ValueError as exc:
+            raise ValueError(f'invalid segment: {part}') from exc
+
+        if tz is not None:
+            start_dt = start_dt.replace(tzinfo=tz)
+            end_dt = end_dt.replace(tzinfo=tz)
+
+        out[start_dt.date()] = (start_dt, end_dt)
+
+    return out
+
+
+# ORIG desired usage,
+#
+# TODO, for non-drunk tomorrow,
+# - call above fn and check that `output[today] is not None`
+# trading_hrs: dict = parse_trading_hours(
+#     details.tradingHours
+# )
+# liq_hrs: dict = parse_trading_hours(
+#     details.liquidHours
+    # )

piker/brokers/ib/api.py

@@ -15,8 +15,7 @@
 # along with this program.  If not, see <https://www.gnu.org/licenses/>.
 
 '''
-Core API client machinery; mostly sane/useful wrapping around
-`ib_async`..
+Core API client machinery; mostly sane/useful wrapping around `ib_insync`..
 
 '''
 from __future__ import annotations
@@ -51,14 +50,13 @@ import tractor
 from tractor import to_asyncio
 from tractor import trionics
 from pendulum import (
+    from_timestamp,
     DateTime,
     Duration,
     duration as mk_duration,
-    from_timestamp,
-    Interval,
 )
 from eventkit import Event
-from ib_async import (
+from ib_insync import (
     client as ib_client,
     IB,
     Contract,
@@ -93,17 +91,16 @@ from .symbols import (
     _exch_skip_list,
     _futes_venues,
 )
-from ...log import get_logger
-from .venues import (
-    is_venue_open,
-    sesh_times,
-    is_venue_closure,
-)
-
-log = get_logger(
-    name=__name__,
+from ._util import (
+    log,
+    # only for the ib_sync internal logging
+    get_logger,
 )
 
+# ?TODO? this can now be removed since it was originally to extend
+# with a `bar_vwap` field that we removed from the default ohlcv
+# dtype since it's better calculated in an FSP func
+#
 _bar_load_dtype: list[tuple[str, type]] = [
     # NOTE XXX: only part that's diff
     # from our default fields where
@@ -144,7 +141,7 @@ _bar_sizes = {
 _show_wap_in_history: bool = False
 
 # overrides to sidestep pretty questionable design decisions in
-# ``ib_async``:
+# ``ib_insync``:
 class NonShittyWrapper(Wrapper):
     def tcpDataArrived(self):
         """Override time stamps to be floats for now.
@@ -184,10 +181,10 @@ class NonShittyIB(IB):
     '''
     def __init__(self):
 
-        # override `ib_async` internal loggers so we can see wtf
+        # override `ib_insync` internal loggers so we can see wtf
         # it's doing..
         self._logger = get_logger(
-            name=__name__,
+            'ib_insync.ib',
         )
         self._createEvents()
 
@@ -195,7 +192,7 @@ class NonShittyIB(IB):
         self.wrapper = NonShittyWrapper(self)
         self.client = ib_client.Client(self.wrapper)
         self.client._logger = get_logger(
-            name='ib_async.client',
+            'ib_insync.client',
         )
 
         # self.errorEvent += self._onError
@@ -267,16 +264,6 @@ def remove_handler_on_err(
         event.disconnect(handler)
 
 
-# (originally?) i thot that,
-# > "EST in ISO 8601 format is required.."
-#
-# XXX, but see `ib_async`'s impl,
-# - `ib_async.ib.IB.reqHistoricalDataAsync()`
-# - `ib_async.util.formatIBDatetime()`
-# below is EPOCH.
-_iso8601_epoch_in_est: str = "1970-01-01T00:00:00.000000-05:00"
-
-
 class Client:
     '''
     IB wrapped for our broker backend API.
@@ -350,11 +337,9 @@ class Client:
         self,
         fqme: str,
 
-        # EST in ISO 8601 format is required..
-        # XXX, see `ib_async.ib.IB.reqHistoricalDataAsync()`
-        # below is EPOCH.
-        start_dt: datetime|None = None,  # _iso8601_epoch_in_est,
-        end_dt: datetime|None = None,
+        # EST in ISO 8601 format is required... below is EPOCH
+        start_dt: datetime|str = "1970-01-01T00:00:00.000000-05:00",
+        end_dt: datetime|str = "",
 
         # ohlc sample period in seconds
         sample_period_s: int = 1,
@@ -365,17 +350,9 @@ class Client:
 
         **kwargs,
 
-    ) -> tuple[
-        BarDataList,
-        np.ndarray,
-        Duration,
-    ]:
+    ) -> tuple[BarDataList, np.ndarray, Duration]:
         '''
-        Retreive the `fqme`'s OHLCV-bars for the time-range "until `end_dt`".
-
-        Notes:
-        - IB's api doesn't support a `start_dt` (which is why default
-          is null) so we only use it for bar-frame duration checking.
+        Retreive OHLCV bars for a fqme over a range to the present.
 
         '''
         # See API docs here:
@@ -390,19 +367,13 @@ class Client:
 
         dt_duration: Duration = (
             duration
-            or
-            default_dt_duration
+            or default_dt_duration
         )
 
         # TODO: maybe remove all this?
         global _enters
-        if end_dt is None:
-            end_dt: str = ''
-
-        else:
-            est_end_dt = end_dt.in_tz('EST')
-            if est_end_dt != end_dt:
-                breakpoint()
+        if not end_dt:
+            end_dt = ''
 
         _enters += 1
 
@@ -471,116 +442,58 @@ class Client:
                 + query_info
             )
 
-            # TODO: we could maybe raise `NoData` instead if we
+            # TODO: we could maybe raise ``NoData`` instead if we
             # rewrite the method in the first case?
             # right now there's no way to detect a timeout..
             return [], np.empty(0), dt_duration
 
         log.info(query_info)
-
-        # ------ GAP-DETECTION ------
         # NOTE XXX: ensure minimum duration in bars?
         # => recursively call this method until we get at least as
         #   many bars such that they sum in aggregate to the the
         #   desired total time (duration) at most.
         #  - if you query over a gap and get no data
         #    that may short circuit the history
-        if end_dt:
+        if (
+            # XXX XXX XXX
+            # => WHY DID WE EVEN NEED THIS ORIGINALLY!? <=
+            # XXX XXX XXX
+            False
+            and end_dt
+        ):
             nparr: np.ndarray = bars_to_np(bars)
             times: np.ndarray = nparr['time']
             first: float = times[0]
-            last: float = times[-1]
-            # frame_dur: float = times[-1] - first
-
-            details: ContractDetails = (
-                await self.ib.reqContractDetailsAsync(contract)
-            )[0]
-            # convert to makt-native tz
-            tz: str = details.timeZoneId
-            end_dt = end_dt.in_tz(tz)
-            first_dt: DateTime = from_timestamp(first).in_tz(tz)
-            last_dt: DateTime = from_timestamp(last).in_tz(tz)
-            tdiff: int = (
-                last_dt
-                -
-                first_dt
-            ).in_seconds() + sample_period_s
-            _open_now: bool = is_venue_open(
-                con_deats=details,
-            )
-
-            # XXX, do gap detections.
-            has_closure_gap: bool = False
-            if (
-                last_dt.add(seconds=sample_period_s)
-                <
-                end_dt
-            ):
-                open_time, close_time = sesh_times(details)
-                # XXX, always calc gap in mkt-venue-local timezone
-                gap: Interval = end_dt - last_dt
-                if not (
-                    has_closure_gap := is_venue_closure(
-                    gap=gap,
-                    con_deats=details,
-                    time_step_s=sample_period_s,
-                )):
-                    log.warning(
-                        f'Invalid non-closure gap for {fqme!r} ?!?\n'
-                        f'is-open-now: {_open_now}\n'
-                        f'\n'
-                        f'{gap}\n'
-                    )
-                    log.warning(
-                        f'Detected NON venue-closure GAP ??\n'
-                        f'{gap}\n'
-                    )
-                    breakpoint()
-                else:
-                    assert has_closure_gap
-                    log.debug(
-                        f'Detected venue closure gap (weekend),\n'
-                        f'{gap}\n'
-                    )
+            tdiff: float = times[-1] - first
 
             if (
-                start_dt is None
-                and (
-                    tdiff
-                    <
-                    dt_duration.in_seconds()
-                )
-                and
-                not has_closure_gap
+                # len(bars) * sample_period_s) < dt_duration.in_seconds()
+                tdiff < dt_duration.in_seconds()
+                # and False
             ):
-                log.error(
+                end_dt: DateTime = from_timestamp(first)
+                log.warning(
                     f'Frame result was shorter then {dt_duration}!?\n'
+                    'Recursing for more bars:\n'
                     f'end_dt: {end_dt}\n'
                     f'dt_duration: {dt_duration}\n'
-                    # f'\n'
-                    # f'Recursing for more bars:\n'
                 )
-                # XXX, debug!
-                # breakpoint()
-                # XXX ? TODO? recursively try to re-request?
-                # => i think *NO* right?
-                #
-                # (
-                #     r_bars,
-                #     r_arr,
-                #     r_duration,
-                # ) = await self.bars(
-                #     fqme,
-                #     start_dt=start_dt,
-                #     end_dt=end_dt,
-                #     sample_period_s=sample_period_s,
+                (
+                    r_bars,
+                    r_arr,
+                    r_duration,
+                ) = await self.bars(
+                    fqme,
+                    start_dt=start_dt,
+                    end_dt=end_dt,
+                    sample_period_s=sample_period_s,
 
-                #     # TODO: make a table for Duration to
-                #     # the ib str values in order to use this?
-                #     # duration=duration,
-                # )
-                # r_bars.extend(bars)
-                # bars = r_bars
+                    # TODO: make a table for Duration to
+                    # the ib str values in order to use this?
+                    # duration=duration,
+                )
+                r_bars.extend(bars)
+                bars = r_bars
 
         nparr: np.ndarray = bars_to_np(bars)
 
@@ -768,48 +681,25 @@ class Client:
         expiry: str = '',
         front: bool = False,
 
-    ) -> Contract|list[Contract]:
+    ) -> Contract:
         '''
         Get an unqualifed contract for the current "continous"
         future.
 
-        When input params result in a so called "ambiguous contract"
-        situation, we return the list of all matches provided by,
-
-        `IB.qualifyContractsAsync(..., returnAll=True)`
-
         '''
         # it's the "front" contract returned here
         if front:
-            cons = (
-                await self.ib.qualifyContractsAsync(
-                    ContFuture(symbol, exchange=exchange),
-                    returnAll=True,
-                )
-            )
+            con = (await self.ib.qualifyContractsAsync(
+                ContFuture(symbol, exchange=exchange)
+            ))[0]
         else:
-            cons = (
-                await self.ib.qualifyContractsAsync(
-                    Future(
-                        symbol,
-                        exchange=exchange,
-                        lastTradeDateOrContractMonth=expiry,
-                    ),
-                    returnAll=True,
+            con = (await self.ib.qualifyContractsAsync(
+                Future(
+                    symbol,
+                    exchange=exchange,
+                    lastTradeDateOrContractMonth=expiry,
                 )
-            )
-
-        con = cons[0]
-        if isinstance(con, list):
-            log.warning(
-                f'{len(con)!r} futes cons matched for input params,\n'
-                f'symbol={symbol!r}\n'
-                f'exchange={exchange!r}\n'
-                f'expiry={expiry!r}\n'
-                f'\n'
-                f'cons:\n'
-                f'{con!r}\n'
-            )
+            ))[0]
 
         return con
 
@@ -898,16 +788,9 @@ class Client:
         # crypto$
         elif exch == 'PAXOS':  # btc.paxos
             con = Crypto(
-                symbol=symbol.upper(),
-                currency='USD',
-                exchange='PAXOS',
+                symbol=symbol,
+                currency=currency,
             )
-            # XXX, on `ib_async` when first tried this,
-            # > Error 10299, reqId 141: Expected what to show is
-            # > AGGTRADES, please use that instead of TRADES.,
-            # > contract: Crypto(conId=479624278, symbol='BTC',
-            # > exchange='PAXOS', currency='USD',
-            # > localSymbol='BTC.USD', tradingClass='BTC')
 
         # stonks
         else:
@@ -934,17 +817,11 @@ class Client:
             )
             exch = 'SMART' if not exch else exch
 
-        if isinstance(con, list):
-            contracts: list[Contract] = con
-        else:
-            contracts: list[Contract] = [con]
-
+        contracts: list[Contract] = [con]
         if qualify:
             try:
                 contracts: list[Contract] = (
-                    await self.ib.qualifyContractsAsync(
-                        *contracts
-                    )
+                    await self.ib.qualifyContractsAsync(con)
                 )
             except RequestError as err:
                 msg = err.message
@@ -1022,6 +899,7 @@ class Client:
     async def get_sym_details(
         self,
         fqme: str,
+
     ) -> tuple[
         Contract,
         ContractDetails,
@@ -1070,7 +948,6 @@ class Client:
                     )
                     if tkr:
                         break
-
                 except TimeoutError as err:
                     timeouterr = err
                     await asyncio.sleep(0.01)
@@ -1079,9 +956,7 @@ class Client:
                 else:
                     if not warnset:
                         log.warning(
-                            f'Quote req timed out..\n'
-                            f'Maybe the venue is closed?\n'
-                            f'\n'
+                            f'Quote req timed out..maybe venue is closed?\n'
                             f'{asdict(contract)}'
                         )
                         warnset = True
@@ -1093,11 +968,9 @@ class Client:
                 )
                 break
         else:
-            if (
-                timeouterr
-                and
-                raise_on_timeout
-            ):
+            if timeouterr and raise_on_timeout:
+                import pdbp
+                pdbp.set_trace()
                 raise timeouterr
 
             if not warnset:
@@ -1121,7 +994,7 @@ class Client:
         size: int,
         account: str,  # if blank the "default" tws account is used
 
-        # XXX: by default 0 tells ``ib_async`` methods that there is no
+        # 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: int = None,
@@ -1310,15 +1183,15 @@ async def load_aio_clients(
     port: int = None,
     client_id: int = 6116,
 
-    # the API TCP in `ib_async` connection can be flaky af so instead
+    # the API TCP in `ib_insync` connection can be flaky af so instead
     # retry a few times to get the client going..
     connect_retries: int = 3,
-    connect_timeout: float = 30,  # in case a remote-host
+    connect_timeout: float = 10,
     disconnect_on_exit: bool = True,
 
 ) -> dict[str, Client]:
     '''
-    Return an ``ib_async.IB`` instance wrapped in our client API.
+    Return an ``ib_insync.IB`` instance wrapped in our client API.
 
     Client instances are cached for later use.
 
@@ -1494,7 +1367,9 @@ async def load_aio_clients(
 
 
 async def load_clients_for_trio(
-    chan: tractor.to_asyncio.LinkedTaskChannel,
+    from_trio: asyncio.Queue,
+    to_trio: trio.abc.SendChannel,
+
 ) -> None:
     '''
     Pure async mngr proxy to ``load_aio_clients()``.
@@ -1507,7 +1382,8 @@ async def load_clients_for_trio(
         disconnect_on_exit=False,
     ) as accts2clients:
 
-        chan.started_nowait(accts2clients)
+        to_trio.send_nowait(accts2clients)
+
         # TODO: maybe a sync event to wait on instead?
         await asyncio.sleep(float('inf'))
 
@@ -1529,7 +1405,7 @@ async def open_client_proxies() -> tuple[
             # TODO: maybe this should be the default in tractor?
             key=tractor.current_actor().uid,
 
-        ) as (cache_hit, (_, clients)),
+        ) as (cache_hit, (clients, _)),
 
         AsyncExitStack() as stack
     ):
@@ -1654,27 +1530,23 @@ class MethodProxy:
 
 
 async def open_aio_client_method_relay(
-    chan: tractor.to_asyncio.LinkedTaskChannel,
+    from_trio: asyncio.Queue,
+    to_trio: trio.abc.SendChannel,
     client: Client,
     event_consumers: dict[str, trio.Event],
 
 ) -> None:
 
-    # with tractor.devx.maybe_open_crash_handler() as _bxerr:
     # sync with `open_client_proxy()` caller
-    chan.started_nowait(client)
+    to_trio.send_nowait(client)
 
     # TODO: separate channel for error handling?
-    client.inline_errors(chan)
+    client.inline_errors(to_trio)
 
     # relay all method requests to ``asyncio``-side client and deliver
     # back results
-    while not chan._to_trio._closed:  # <- TODO, better check like `._web_bs`?
-        msg: (
-            None
-            |tuple[str, dict]
-            |dict
-        ) = await chan.get()
+    while not to_trio._closed:
+        msg: tuple[str, dict]|dict|None = await from_trio.get()
         match msg:
             case None:  # termination sentinel
                 log.info('asyncio `Client` method-proxy SHUTDOWN!')
@@ -1687,7 +1559,7 @@ async def open_aio_client_method_relay(
                 try:
                     resp = await meth(**kwargs)
                     # echo the msg back
-                    chan.send_nowait({'result': resp})
+                    to_trio.send_nowait({'result': resp})
 
                 except (
                     RequestError,
@@ -1695,10 +1567,10 @@ async def open_aio_client_method_relay(
                     # TODO: relay all errors to trio?
                     # BaseException,
                 ) as err:
-                    chan.send_nowait({'exception': err})
+                    to_trio.send_nowait({'exception': err})
 
             case {'error': content}:
-                chan.send_nowait({'exception': content})
+                to_trio.send_nowait({'exception': content})
 
             case _:
                 raise ValueError(f'Unhandled msg {msg}')
@@ -1718,7 +1590,7 @@ async def open_client_proxy(
             open_aio_client_method_relay,
             client=client,
             event_consumers=event_table,
-        ) as (chan, first),
+        ) as (first, chan),
 
         trionics.collapse_eg(),  # loose-ify
         trio.open_nursery() as relay_tn,
@@ -1776,7 +1648,7 @@ async def get_client(
 
 ) -> Client:
     '''
-    Init the ``ib_async`` client in another actor and return
+    Init the ``ib_insync`` client in another actor and return
     a method proxy to it.
 
     '''

piker/brokers/ib/broker.py

@@ -35,14 +35,14 @@ from trio_typing import TaskStatus
 import tractor
 from tractor.to_asyncio import LinkedTaskChannel
 from tractor import trionics
-from ib_async.contract import (
+from ib_insync.contract import (
     Contract,
 )
-from ib_async.order import (
+from ib_insync.order import (
     Trade,
     OrderStatus,
 )
-from ib_async.objects import (
+from ib_insync.objects import (
     Fill,
     Execution,
     CommissionReport,
@@ -50,10 +50,6 @@ from ib_async.objects import (
 )
 
 from piker import config
-from piker.log import (
-    get_logger,
-    get_console_log,
-)
 from piker.types import Struct
 from piker.accounting import (
     Position,
@@ -81,6 +77,7 @@ from piker.clearing._messages import (
     BrokerdFill,
     BrokerdError,
 )
+from ._util import log
 from .api import (
     _accounts2clients,
     get_config,
@@ -98,10 +95,6 @@ from .ledger import (
     update_ledger_from_api_trades,
 )
 
-log = get_logger(
-    name=__name__,
-)
-
 
 def pack_position(
     pos: IbPosition,
@@ -124,11 +117,7 @@ def pack_position(
             symbol=fqme,
             currency=con.currency,
             size=float(pos.position),
-            avg_price=(
-                float(pos.avgCost)
-                /
-                float(con.multiplier or 1.0)
-            ),
+            avg_price=float(pos.avgCost) / float(con.multiplier or 1.0),
         ),
     )
 
@@ -181,7 +170,7 @@ async def handle_order_requests(
             # validate
             order = BrokerdOrder(**request_msg)
 
-            # XXX: by default 0 tells ``ib_async`` methods that
+            # 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..)
@@ -237,7 +226,7 @@ async def recv_trade_updates(
 ) -> None:
     '''
     Receive and relay order control and positioning related events
-    from `ib_async`, pack as tuples and push over mem-chan to our
+    from `ib_insync`, pack as tuples and push over mem-chan to our
     trio relay task for processing and relay to EMS.
 
     '''
@@ -303,7 +292,7 @@ async def recv_trade_updates(
         # much more then a few more pnl fields..
         # 'updatePortfolioEvent',
 
-        # XXX: these all seem to be weird ib_async internal
+        # XXX: these all seem to be weird ib_insync internal
         # events that we probably don't care that much about
         # given the internal design is wonky af..
         # 'newOrderEvent',
@@ -369,10 +358,6 @@ async def update_and_audit_pos_msg(
         size=ibpos.position,
 
         avg_price=pikerpos.ppu,
-
-        # XXX ensures matching even if multiple venue-names
-        # in `.bs_fqme`, likely from txn records..
-        bs_mktid=mkt.bs_mktid,
     )
 
     ibfmtmsg: str = pformat(ibpos._asdict())
@@ -441,8 +426,7 @@ async def aggr_open_orders(
 
 ) -> None:
     '''
-    Collect all open orders from client and fill in `order_msgs:
-    list`.
+    Collect all open orders from client and fill in `order_msgs: list`.
 
     '''
     trades: list[Trade] = client.ib.openTrades()
@@ -499,7 +483,7 @@ async def open_trade_event_stream(
     ] = trio.TASK_STATUS_IGNORED,
 ):
     '''
-    Proxy wrapper for starting trade event stream from ib_async
+    Proxy wrapper for starting trade event stream from ib_insync
     which spawns an asyncio task that registers an internal closure
     (`push_tradies()`) which in turn relays trading events through
     a `tractor.to_asyncio.LinkedTaskChannel` which the parent
@@ -514,8 +498,8 @@ async def open_trade_event_stream(
         recv_trade_updates,
         client=client,
     ) as (
-        trade_event_stream,
         _,  # first pushed val
+        trade_event_stream,
     ):
         task_status.started(trade_event_stream)
         # block forever to keep session trio-asyncio session
@@ -543,15 +527,9 @@ class IbAcnt(Struct):
 @tractor.context
 async def open_trade_dialog(
     ctx: tractor.Context,
-    loglevel: str = 'warning',
 
 ) -> AsyncIterator[dict[str, Any]]:
 
-    get_console_log(
-        level=loglevel,
-        name=__name__,
-    )
-
     # task local msg dialog tracking
     flows = OrderDialogs()
     accounts_def = config.load_accounts(['ib'])
@@ -580,7 +558,7 @@ async def open_trade_dialog(
         ledgers: dict[str, TransactionLedger] = {}
         tables: dict[str, Account] = {}
         order_msgs: list[Status] = []
-        conf: dict = get_config()
+        conf = get_config()
         accounts_def_inv: bidict[str, str] = bidict(
             conf['accounts']
         ).inverse
@@ -991,9 +969,6 @@ _statuses: dict[str, str] = {
     # TODO: see a current ``ib_insync`` issue around this:
     # https://github.com/erdewit/ib_insync/issues/363
     'Inactive': 'pending',
-
-    # XXX, uhh wut the heck is this?
-    'ValidationError': 'error',
 }
 
 _action_map = {
@@ -1066,19 +1041,8 @@ async def deliver_trade_events(
     # 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...
-    event_name: str
-    item: (
-        Trade
-        |tuple[Trade, Fill]
-        |CommissionReport
-        |IbPosition
-        |dict
-    )
     async for event_name, item in trade_event_stream:
-        log.info(
-            f'Relaying {event_name!r}:\n'
-            f'{pformat(item)}\n'
-        )
+        log.info(f'Relaying `{event_name}`:\n{pformat(item)}')
         match event_name:
             case 'orderStatusEvent':
 
@@ -1089,12 +1053,11 @@ async def deliver_trade_events(
                 trade: Trade = item
                 reqid: str = str(trade.order.orderId)
                 status: OrderStatus = trade.orderStatus
-                status_str: str = _statuses.get(
-                    status.status,
-                    'error',
-                )
+                status_str: str = _statuses[status.status]
                 remaining: float = status.remaining
-                if status_str == 'filled':
+                if (
+                    status_str == 'filled'
+                ):
                     fill: Fill = trade.fills[-1]
                     execu: Execution = fill.execution
 
@@ -1125,12 +1088,6 @@ async def deliver_trade_events(
                         # all units were cleared.
                         status_str = 'closed'
 
-                elif status_str == 'error':
-                    log.error(
-                        f'IB reported error status for order ??\n'
-                        f'{status.status!r}\n'
-                    )
-
                 # skip duplicate filled updates - we get the deats
                 # from the execution details event
                 msg = BrokerdStatus(
@@ -1291,23 +1248,13 @@ async def deliver_trade_events(
             case 'error':
                 # NOTE: see impl deats in
                 # `Client.inline_errors()::push_err()`
-                err: dict|str = item
+                err: dict = item
 
-                # std case, never relay errors for non-order-control
-                # related issues.
+                # never relay errors for non-broker related issues
                 # https://interactivebrokers.github.io/tws-api/message_codes.html
-                if isinstance(err, dict):
-                    code: int = err['error_code']
-                    reason: str = err['reason']
-                    reqid: str = str(err['reqid'])
-
-                # XXX, sometimes you'll get just a `str` of the form,
-                # '[code 104] connection failed' or something..
-                elif isinstance(err, str):
-                    code_part, _, reason = err.rpartition(']')
-                    if code_part:
-                        _, _, code = code_part.partition('[code')
-                    reqid: str = '<unknown>'
+                code: int = err['error_code']
+                reason: str = err['reason']
+                reqid: str = str(err['reqid'])
 
                 # "Warning:" msg codes,
                 # https://interactivebrokers.github.io/tws-api/message_codes.html#warning_codes

piker/brokers/ib/feed.py

@@ -36,7 +36,7 @@ from typing import (
 )
 
 from async_generator import aclosing
-import ib_async as ibis
+import ib_insync as ibis
 import numpy as np
 from pendulum import (
     now,
@@ -56,11 +56,11 @@ from piker.brokers._util import (
     NoData,
     DataUnavailable,
 )
-from piker.log import get_logger
 from .api import (
     # _adhoc_futes_set,
     Client,
     con2fqme,
+    log,
     load_aio_clients,
     MethodProxy,
     open_client_proxies,
@@ -69,18 +69,15 @@ from .api import (
     Contract,
     RequestError,
 )
-from .venues import is_venue_open
 from ._util import (
     data_reset_hack,
+    is_current_time_in_range,
 )
 from .symbols import get_mkt_info
 
 if TYPE_CHECKING:
     from trio._core._run import Task
 
-log = get_logger(
-    name=__name__,
-)
 
 # XXX NOTE: See available types table docs:
 # https://interactivebrokers.github.io/tws-api/tick_types.html
@@ -100,7 +97,7 @@ tick_types = {
     5: 'size',
     8: 'volume',
 
-    # `ib_async` already packs these into
+    # ``ib_insync`` already packs these into
     # quotes under the following fields.
     55: 'trades_per_min',  # `'tradeRate'`
     56: 'vlm_per_min',  # `'volumeRate'`
@@ -181,8 +178,8 @@ async def open_history_client(
 
         async def get_hist(
             timeframe: float,
-            end_dt: datetime|None = None,
-            start_dt: datetime|None = None,
+            end_dt: datetime | None = None,
+            start_dt: datetime | None = None,
 
         ) -> tuple[np.ndarray, str]:
 
@@ -201,22 +198,12 @@ async def open_history_client(
                 fqme,
                 timeframe,
                 end_dt=end_dt,
-
-                # XXX WARNING, we don't actually use this inside
-                # `Client.bars()` since it isn't really supported,
-                # the API instead supports a "duration" of time style
-                # from the `end_dt` (or at least that was the best
-                # way to get it working sanely)..
-                # 
-                # SO, with that in mind be aware that any downstream
-                # logic based on this may be mostly futile Xp
                 start_dt=start_dt,
             )
             latency = time.time() - query_start
             if (
                 not timedout
-                # and
-                # latency <= max_timeout
+                # and latency <= max_timeout
             ):
                 count += 1
                 mean += latency / count
@@ -227,15 +214,11 @@ async def open_history_client(
 
             # could be trying to retreive bars over weekend
             if out is None:
-                log.error(
-                    f"No bars starting at {end_dt!r} !?!?"
-                )
+                log.error(f"Can't grab bars starting at {end_dt}!?!?")
                 if (
                     end_dt
-                    and
-                    head_dt
-                    and
-                    end_dt <= head_dt
+                    and head_dt
+                    and end_dt <= head_dt
                 ):
                     raise DataUnavailable(
                         f'First timestamp is {head_dt}\n'
@@ -277,51 +260,12 @@ async def open_history_client(
             vlm = bars_array['volume']
             vlm[vlm < 0] = 0
 
-            # XXX, if a start-limit was passed ensure we only
-            # return history that far back!
-            if (
-                start_dt
-                and
-                first_dt < start_dt
-            ):
-                trimmed_bars = bars_array[
-                    bars_array['time'] >= start_dt.timestamp()
-                ]
-                # XXX, should NEVER get HERE!
-                if trimmed_bars.size:
-                    trimmed_first_dt: datetime = from_timestamp(trimmed_bars['time'][0])
-                    if (
-                        trimmed_first_dt
-                        >=
-                        start_dt
-                    ):
-                        msg: str = (
-                            f'OHLC-bars array start is gt `start_dt` limit !!\n'
-                            f'start_dt: {start_dt}\n'
-                            f'first_dt: {first_dt}\n'
-                            f'trimmed_first_dt: {trimmed_first_dt}\n'
-                            f'\n'
-                            f'Delivering shorted frame of {trimmed_bars.size!r}\n'
-                        )
-                        log.warning(msg)
-                        # TODO! rm this once we're more confident it
-                        # never breaks anything (in the caller)!
-                        # breakpoint()
-                        # raise RuntimeError(msg)
-
-                # XXX, overwrite with start_dt-limited frame
-                bars_array = trimmed_bars
-
-            return (
-                bars_array,
-                first_dt,
-                last_dt,
-            )
+            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_async` machinery, for eg. maybe
+        # a lookthrough of the ``ib_insync`` machinery, for eg. maybe
         # we have to do the batch queries on the `asyncio` side?
         yield (
             get_hist,
@@ -444,13 +388,14 @@ _failed_resets: int = 0
 
 
 async def get_bars(
+
     proxy: MethodProxy,
     fqme: str,
     timeframe: int,
 
     # blank to start which tells ib to look up the latest datum
-    end_dt: datetime|None = None,
-    start_dt: datetime|None = None,
+    end_dt: str = '',
+    start_dt: str | None = '',
 
     # TODO: make this more dynamic based on measured frame rx latency?
     # how long before we trigger a feed reset (seconds)
@@ -504,9 +449,6 @@ async def get_bars(
                     dt_duration,
                 ) = await proxy.bars(
                     fqme=fqme,
-                    # XXX TODO! LOL we're not using this and IB dun
-                    # support it anyway..
-                    # start_dt=start_dt,
                     end_dt=end_dt,
                     sample_period_s=timeframe,
 
@@ -669,7 +611,7 @@ async def get_bars(
                         data_cs.cancel()
 
                     # spawn new data reset task
-                    data_cs, reset_done = await tn.start(
+                    data_cs, reset_done = await nurse.start(
                         partial(
                             wait_on_data_reset,
                             proxy,
@@ -691,12 +633,12 @@ async def get_bars(
     unset_resetter: bool = False
     async with (
         tractor.trionics.collapse_eg(),
-        trio.open_nursery() as tn
+        trio.open_nursery() as nurse
     ):
 
         # start history request that we allow
         # to run indefinitely until a result is acquired
-        tn.start_soon(query)
+        nurse.start_soon(query)
 
         # start history reset loop which waits up to the timeout
         # for a result before triggering a data feed reset.
@@ -716,7 +658,7 @@ async def get_bars(
                 unset_resetter: bool = True
 
             # spawn new data reset task
-            data_cs, reset_done = await tn.start(
+            data_cs, reset_done = await nurse.start(
                 partial(
                     wait_on_data_reset,
                     proxy,
@@ -742,6 +684,8 @@ async def get_bars(
 _quote_streams: dict[str, trio.abc.ReceiveStream] = {}
 
 
+# TODO! update to the new style sig with,
+# `chan: to_asyncio.LinkedTaskChannel,`
 async def _setup_quote_stream(
     chan: tractor.to_asyncio.LinkedTaskChannel,
     symbol: str,
@@ -757,7 +701,7 @@ async def _setup_quote_stream(
         # '294',  # Trade rate / minute
         # '295',  # Vlm rate / minute
     ),
-    contract: Contract|None = None,
+    contract: Contract | None = None,
 
 ) -> trio.abc.ReceiveChannel:
     '''
@@ -779,12 +723,7 @@ async def _setup_quote_stream(
         # XXX since this is an `asyncio.Task`, we must use
         # tractor.pause_from_sync()
 
-        (
-            _account_name,
-            client,
-        ) = get_preferred_data_client(
-            accts2clients,
-        )
+        caccount_name, client = get_preferred_data_client(accts2clients)
         contract = (
             contract
             or
@@ -957,10 +896,7 @@ async def open_aio_quote_stream(
     symbol: str,
     contract: Contract|None = None,
 
-) -> (
-    trio.abc.Channel|  # iface
-    tractor.to_asyncio.LinkedTaskChannel  # actually
-):
+) -> trio.abc.ReceiveStream:
     '''
     Open a real-time `Ticker` quote stream from an `asyncio.Task`
     spawned via `tractor.to_asyncio.open_channel_from()`, deliver the
@@ -983,13 +919,12 @@ async def open_aio_quote_stream(
             yield from_aio
             return
 
-    from_aio: tractor.to_asyncio.LinkedTaskChannel
     async with tractor.to_asyncio.open_channel_from(
         _setup_quote_stream,
         symbol=symbol,
         contract=contract,
 
-    ) as (from_aio, contract):
+    ) as (contract, from_aio):
 
         assert contract
 
@@ -1068,21 +1003,6 @@ def normalize(
     #         ticker.rtTime.timestamp) / 1000.
     data.pop('rtTime')
 
-    # XXX, `ib_async` seems to set a
-    # `'timezone': datetime.timezone.utc` in this `dict`
-    # which is NOT IPC serializeable sin codec!
-    #
-    # pretty sure we don't need any of this field for now anyway?
-    data.pop('defaults')
-
-    if lts := data.get('lastTimeStamp'):
-        lts.replace(tzinfo=None)
-        log.warning(
-            f'Stripping `.tzinfo` from datetime\n'
-            f'{lts}\n'
-        )
-        # breakpoint()
-
     return data
 
 
@@ -1134,9 +1054,14 @@ async def stream_quotes(
         )
 
         # is venue active rn?
-        venue_is_open: bool = is_venue_open(
-            con_deats=details,
+        venue_is_open: bool = any(
+            is_current_time_in_range(
+                start_dt=sesh.start,
+                end_dt=sesh.end,
+            )
+            for sesh in details.tradingSessions()
         )
+
         init_msg = FeedInit(mkt_info=mkt)
 
         # NOTE, tell sampler (via config) to skip vlm summing for dst
@@ -1153,10 +1078,8 @@ async def stream_quotes(
 
         con: Contract = details.contract
         first_ticker: Ticker|None = None
-        first_quote: dict[str, Any] = {}
 
-        timeout: float = 1.6
-        with trio.move_on_after(timeout) as quote_cs:
+        with trio.move_on_after(1.6) as quote_cs:
             first_ticker: Ticker = await proxy.get_quote(
                 contract=con,
                 raise_on_timeout=False,
@@ -1165,9 +1088,7 @@ async def stream_quotes(
         # XXX should never happen with this ep right?
         # but if so then, more then likely mkt is closed?
         if quote_cs.cancelled_caught:
-            log.warning(
-                f'First quote req timed out after {timeout!r}s'
-            )
+            await tractor.pause()
 
         if first_ticker:
             first_quote: dict = normalize(first_ticker)
@@ -1206,14 +1127,15 @@ async def stream_quotes(
                 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.
             # XXX obvi given the venue is closed, we never expect feed
             # to come up; a taskc should be the only way to
             # terminate this task.
             await trio.sleep_forever()
-            #
-            # ^^XXX^^TODO! INSTEAD impl a `trio.sleep()` for the
-            # duration until the venue opens!!
 
         # ?TODO, we could instead spawn a task that waits on a feed
         # to start and let it wait indefinitely..instead of this
@@ -1237,12 +1159,8 @@ async def stream_quotes(
             'Rxed init quote:\n'
             f'{pformat(first_quote)}'
         )
-        # signal `.data.feed` layer that mkt quotes are LIVE
-        feed_is_live.set()
-
         cs: trio.CancelScope|None = None
         startup: bool = True
-        iter_quotes: trio.abc.Channel
         while (
             startup
             or
@@ -1251,15 +1169,15 @@ async def stream_quotes(
             with trio.CancelScope() as cs:
                 async with (
                     tractor.trionics.collapse_eg(),
-                    trio.open_nursery() as tn,
+                    trio.open_nursery() as nurse,
                     open_aio_quote_stream(
                         symbol=sym,
                         contract=con,
-                    ) as iter_quotes,
+                    ) as stream,
                 ):
                     # ?TODO? can we rm this - particularly for `ib_async`?
                     # ugh, clear ticks since we've consumed them
-                    # (ahem, ib_async is stateful trash)
+                    # (ahem, ib_insync is stateful trash)
                     # first_ticker.ticks = []
 
                     # only on first entry at feed boot up
@@ -1284,22 +1202,58 @@ async def stream_quotes(
                         await rt_ev.wait()
                         cs.cancel()  # cancel called should now be set
 
-                    tn.start_soon(reset_on_feed)
+                    nurse.start_soon(reset_on_feed)
+
+                    async with aclosing(stream):
+                        # if syminfo.get('no_vlm', False):
+                        if not init_msg.shm_write_opts['has_vlm']:
+
+                            # generally speaking these feeds don't
+                            # include vlm data.
+                            atype: str = mkt.dst.atype
+                            log.info(
+                                f'No-vlm {mkt.fqme}@{atype}, skipping quote poll'
+                            )
+
+                        else:
+                            # 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 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}")
 
-                    async with aclosing(iter_quotes):
                         # tell data-layer spawner-caller that live
-                        # quotes are now active desptie not having
-                        # necessarily received a first vlm/clearing
-                        # tick.
-                        ticker = await iter_quotes.receive()
-                        quote = normalize(ticker)
-                        fqme: str = quote['fqme']
-                        await send_chan.send({fqme: quote})
+                        # quotes are now streaming.
+                        feed_is_live.set()
 
                         # last = time.time()
-                        async for ticker in iter_quotes:
+                        async for ticker in stream:
                             quote = normalize(ticker)
-                            fqme: str = quote['fqme']
+                            fqme = quote['fqme']
                             log.debug(
                                 f'Sending quote\n'
                                 f'{quote}'

piker/brokers/ib/ledger.py

@@ -36,7 +36,7 @@ from pendulum import (
     parse,
     from_timestamp,
 )
-from ib_async import (
+from ib_insync import (
     Contract,
     Commodity,
     Fill,
@@ -44,7 +44,6 @@ from ib_async import (
     CommissionReport,
 )
 
-from piker.log import get_logger
 from piker.types import Struct
 from piker.data import (
     SymbologyCache,
@@ -58,6 +57,7 @@ from piker.accounting import (
     iter_by_dt,
 )
 from ._flex_reports import parse_flex_dt
+from ._util import log
 
 if TYPE_CHECKING:
     from .api import (
@@ -65,9 +65,6 @@ if TYPE_CHECKING:
         MethodProxy,
     )
 
-log = get_logger(
-    name=__name__,
-)
 
 tx_sort: Callable = partial(
     iter_by_dt,

piker/brokers/ib/symbols.py

@@ -23,7 +23,6 @@ from contextlib import (
     nullcontext,
 )
 from decimal import Decimal
-from functools import partial
 import time
 from typing import (
     Awaitable,
@@ -31,9 +30,8 @@ from typing import (
 )
 
 from rapidfuzz import process as fuzzy
-import ib_async as ibis
+import ib_insync as ibis
 import tractor
-from tractor.devx.pformat import ppfmt
 import trio
 
 from piker.accounting import (
@@ -44,7 +42,10 @@ from piker.accounting import (
 from piker._cacheables import (
     async_lifo_cache,
 )
-from piker.log import get_logger
+
+from ._util import (
+    log,
+)
 
 if TYPE_CHECKING:
     from .api import (
@@ -52,10 +53,6 @@ if TYPE_CHECKING:
         Client,
     )
 
-log = get_logger(
-    name=__name__,
-)
-
 _futes_venues = (
     'GLOBEX',
     'NYMEX',
@@ -137,7 +134,7 @@ _adhoc_fiat_set = set((
 
 # manually discovered tick discrepancies,
 # onl god knows how or why they'd cuck these up..
-_adhoc_mkt_infos: dict[int|str, dict] = {
+_adhoc_mkt_infos: dict[int | str, dict] = {
     'vtgn.nasdaq': {'price_tick': Decimal('0.01')},
 }
 
@@ -217,19 +214,18 @@ async def open_symbol_search(ctx: tractor.Context) -> None:
                 f'{ib_client}\n'
             )
 
-            last: float = time.time()
+            last = time.time()
             async for pattern in stream:
                 log.info(f'received {pattern}')
                 now: float = time.time()
 
-                # TODO? check this is no longer true?
                 # this causes tractor hang...
                 # assert 0
 
                 assert pattern, 'IB can not accept blank search pattern'
 
                 # throttle search requests to no faster then 1Hz
-                diff: float = now - last
+                diff = now - last
                 if diff < 1.0:
                     log.debug('throttle sleeping')
                     await trio.sleep(diff)
@@ -240,12 +236,11 @@ async def open_symbol_search(ctx: tractor.Context) -> None:
 
                 if (
                     not pattern
-                    or
-                    pattern.isspace()
-                    or
+                    or pattern.isspace()
+
                     # XXX: not sure if this is a bad assumption but it
                     # seems to make search snappier?
-                    len(pattern) < 1
+                    or len(pattern) < 1
                 ):
                     log.warning('empty pattern received, skipping..')
 
@@ -258,58 +253,36 @@ async def open_symbol_search(ctx: tractor.Context) -> None:
                     # XXX: this unblocks the far end search task which may
                     # hold up a multi-search nursery block
                     await stream.send({})
+
                     continue
 
-                log.info(
-                    f'Searching for FQME with,\n'
-                    f'pattern: {pattern!r}\n'
-                )
+                log.info(f'searching for {pattern}')
 
-                last: float = time.time()
+                last = time.time()
 
-                # async batch search using api stocks endpoint and
-                # module defined adhoc symbol set.
-                stock_results: list[dict] = []
+                # async batch search using api stocks endpoint and module
+                # defined adhoc symbol set.
+                stock_results = []
 
                 async def extend_results(
-                    # ?TODO, how to type async-fn!?
-                    target: Awaitable[list],
-                    pattern: str,
-                    **kwargs,
+                    target: Awaitable[list]
                 ) -> None:
                     try:
-                        results = await target(
-                            pattern=pattern,
-                            **kwargs,
-                        )
-                        client_repr: str = proxy._aio_ns.ib.client.__class__.__name__
-                        meth_repr: str = target.keywords["meth"]
-                        log.info(
-                            f'Search query,\n'
-                            f'{client_repr}.{meth_repr}(\n'
-                            f'    pattern={pattern!r}\n'
-                            f'    **kwargs={kwargs!r},\n'
-                            f') = {ppfmt(list(results))}'
-                            # XXX ^ just the keys since that's what
-                            # shows in UI results table.
-                        )
+                        results = await target
                     except tractor.trionics.Lagged:
-                        log.exception(
-                            'IB SYM-SEARCH OVERRUN?!?\n'
-                        )
+                        print("IB SYM-SEARCH OVERRUN?!?")
                         return
 
                     stock_results.extend(results)
 
                 for _ in range(10):
                     with trio.move_on_after(3) as cs:
-                        async with trio.open_nursery() as tn:
-                            tn.start_soon(
-                                partial(
-                                    extend_results,
+                        async with trio.open_nursery() as sn:
+                            sn.start_soon(
+                                extend_results,
+                                proxy.search_symbols(
                                     pattern=pattern,
-                                    target=proxy.search_symbols,
-                                    upto=10,
+                                    upto=5,
                                 ),
                             )
 
@@ -339,9 +312,7 @@ async def open_symbol_search(ctx: tractor.Context) -> None:
                     #     adhoc_match_results = {i[0]: {} for i in
                     #     adhoc_matches}
 
-                log.debug(
-                    f'fuzzy matching stocks {ppfmt(stock_results)}'
-                )
+                log.debug(f'fuzzy matching stocks {stock_results}')
                 stock_matches = fuzzy.extract(
                     pattern,
                     stock_results,
@@ -355,10 +326,7 @@ async def open_symbol_search(ctx: tractor.Context) -> None:
                 # TODO: we used to deliver contract details
                 # {item[2]: item[0] for item in stock_matches}
 
-                log.debug(
-                    f'Sending final matches\n'
-                    f'{matches.keys()}'
-                )
+                log.debug(f"sending matches: {matches.keys()}")
                 await stream.send(matches)
 
 
@@ -520,7 +488,8 @@ def con2fqme(
 @async_lifo_cache()
 async def get_mkt_info(
     fqme: str,
-    proxy: MethodProxy|None = None,
+
+    proxy: MethodProxy | None = None,
 
 ) -> tuple[MktPair, ibis.ContractDetails]:
 
@@ -553,11 +522,7 @@ async def get_mkt_info(
     if atype == 'commodity':
         venue: str = 'cmdty'
     else:
-        venue: str = (
-            con.primaryExchange
-            or
-            con.exchange
-        )
+        venue = con.primaryExchange or con.exchange
 
     price_tick: Decimal = Decimal(str(details.minTick))
     ib_min_tick_gt_2: Decimal = Decimal('0.01')
@@ -585,7 +550,7 @@ async def get_mkt_info(
         size_tick: Decimal = Decimal(
             str(details.minSize).rstrip('0')
         )
-        # ?TODO, there is also the Contract.sizeIncrement, bt wtf is it?
+        # |-> TODO: there is also the Contract.sizeIncrement, bt wtf is it?
 
     # NOTE: this is duplicate from the .broker.norm_trade_records()
     # routine, we should factor all this parsing somewhere..

piker/brokers/ib/venues.py

@@ -1,325 +0,0 @@
-# piker: trading gear for hackers
-# Copyright (C) Tyler Goodlet (in stewardship for pikers)
-
-# This program is free software: you can redistribute it and/or modify
-# it under the terms of the GNU Affero General Public License as published by
-# the Free Software Foundation, either version 3 of the License, or
-# (at your option) any later version.
-
-# This program is distributed in the hope that it will be useful,
-# but WITHOUT ANY WARRANTY; without even the implied warranty of
-# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
-# GNU Affero General Public License for more details.
-
-# You should have received a copy of the GNU Affero General Public License
-# along with this program.  If not, see <https://www.gnu.org/licenses/>.
-
-'''
-(Multi-)venue mgmt helpers.
-
-IB generally supports all "legacy" trading venues, those mostly owned
-by ICE and friends.
-
-'''
-from __future__ import annotations
-from datetime import (  # noqa
-    datetime,
-    date,
-    tzinfo as TzInfo,
-)
-from typing import (
-    Iterator,
-    TYPE_CHECKING,
-)
-
-import exchange_calendars as xcals
-from pendulum import (
-    now,
-    Duration,
-    Interval,
-    Time,
-)
-
-if TYPE_CHECKING:
-    from ib_async import (
-        TradingSession,
-        Contract,
-        ContractDetails,
-    )
-    from exchange_calendars.exchange_calendars import (
-        ExchangeCalendar,
-    )
-    from pandas import (
-        # DatetimeIndex,
-        TimeDelta,
-        Timestamp,
-    )
-
-
-def has_weekend(
-    period: Interval,
-) -> bool:
-    '''
-    Predicate to for a period being within
-    days 6->0 (sat->sun).
-
-    '''
-    has_weekend: bool = False
-    for dt in period:
-        if dt.day_of_week in [0, 6]: # 0=Sunday, 6=Saturday
-            has_weekend = True
-            break
-
-    return has_weekend
-
-
-def has_holiday(
-    con_deats: ContractDetails,
-    period: Interval,
-) -> bool:
-    '''
-    Using the `exchange_calendars` lib detect if a time-gap `period`
-    is contained in a known "cash hours" closure.
-
-    '''
-    tz: str = con_deats.timeZoneId
-    con: Contract = con_deats.contract
-    exch: str = (
-        con.primaryExchange
-        or
-        con.exchange
-    )
-
-    # XXX, ad-hoc handle any IB exchange which are non-std
-    # via lookup table..
-    std_exch: dict = {
-        'ARCA': 'ARCX',
-    }.get(exch, exch)
-
-    cal: ExchangeCalendar = xcals.get_calendar(std_exch)
-    end: datetime = period.end
-    # _start: datetime = period.start
-    # ?TODO, can rm ya?
-    # => not that useful?
-    # dti: DatetimeIndex = cal.sessions_in_range(
-    #     _start.date(),
-    #     end.date(),
-    # )
-    prev_close: Timestamp = cal.previous_close(
-        end.date()
-    ).tz_convert(tz)
-    prev_open: Timestamp = cal.previous_open(
-        end.date()
-    ).tz_convert(tz)
-    # now do relative from prev_ values ^
-    # to get the next open which should match
-    # "contain" the end of the gap.
-    next_open: Timestamp = cal.next_open(
-        prev_open,
-    ).tz_convert(tz)
-    next_open: Timestamp = cal.next_open(
-        prev_open,
-    ).tz_convert(tz)
-    _next_close: Timestamp = cal.next_close(
-        prev_close
-    ).tz_convert(tz)
-    cash_gap: TimeDelta = next_open - prev_close
-    is_holiday_gap = (
-        cash_gap
-        > 
-        period
-    )
-    # XXX, debug
-    # breakpoint()
-    return is_holiday_gap
-
-
-def is_current_time_in_range(
-    sesh: Interval,
-    when: datetime|None = None,
-) -> bool:
-    '''
-    Check if current time is within the datetime range.
-
-    Use any/the-same timezone as provided by `start_dt.tzinfo` value
-    in the range.
-
-    '''
-    when: datetime = when or now()
-    return when in sesh
-
-
-def iter_sessions(
-    con_deats: ContractDetails,
-) -> Iterator[Interval]:
-    '''
-    Yield `pendulum.Interval`s for all
-    `ibas.ContractDetails.tradingSessions() -> TradingSession`s.
-
-    '''
-    sesh: TradingSession
-    for sesh in con_deats.tradingSessions():
-        yield Interval(*sesh)
-
-
-def sesh_times(
-    con_deats: ContractDetails,
-) -> tuple[Time, Time]:
-    '''
-    Based on the earliest trading session provided by the IB API,
-    get the (day-agnostic) times for the start/end.
-
-    '''
-    earliest_sesh: Interval = next(iter_sessions(con_deats))
-    return (
-        earliest_sesh.start.time(),
-        earliest_sesh.end.time(),
-    )
-    # ^?TODO, use `.diff()` to get point-in-time-agnostic period?
-    # https://pendulum.eustace.io/docs/#difference
-
-
-def is_venue_open(
-    con_deats: ContractDetails,
-    when: datetime|Duration|None = None,
-) -> bool:
-    '''
-    Check if market-venue is open during `when`, which defaults to
-    "now".
-
-    '''
-    sesh: Interval
-    for sesh in iter_sessions(con_deats):
-        if is_current_time_in_range(
-            sesh=sesh,
-            when=when,
-        ):
-            return True
-
-    return False
-
-
-def is_venue_closure(
-    gap: Interval,
-    con_deats: ContractDetails,
-    time_step_s: int,
-) -> bool:
-    '''
-    Check if a provided time-`gap` is just an (expected) trading
-    venue closure period.
-
-    '''
-    open: Time
-    close: Time
-    open, close = sesh_times(con_deats)
-
-    # ensure times are in mkt-native timezone
-    tz: str = con_deats.timeZoneId
-    start = gap.start.in_tz(tz)
-    start_t = start.time()
-    end = gap.end.in_tz(tz)
-    end_t = end.time()
-    if (
-        (
-            start_t in (
-                close,
-                close.subtract(seconds=time_step_s)
-            )
-            and 
-            end_t in (
-                open,
-                open.add(seconds=time_step_s),
-            )
-        )
-        or
-        has_weekend(gap)
-        or
-        has_holiday(
-            con_deats=con_deats,
-            period=gap,
-        )
-    ):
-        return True
-
-    # breakpoint()
-    return False
-
-
-# TODO, put this into `._util` and call it from here!
-#
-# NOTE, this was generated by @guille from a gpt5 prompt
-# and was originally thot to be needed before learning about
-# `ib_async.contract.ContractDetails._parseSessions()` and
-# it's downstream meths..
-#
-# This is still likely useful to keep for now to parse the
-# `.tradingHours: str` value manually if we ever decide
-# to move off `ib_async` and implement our own `trio`/`anyio`
-# based version Bp
-#
-# >attempt to parse the retarted ib "time stampy thing" they
-# >do for "venue hours" with this.. written by
-# >gpt5-"thinking",
-#
-
-
-def parse_trading_hours(
-    spec: str,
-    tz: TzInfo|None = None
-) -> dict[
-    date,
-    tuple[datetime, datetime]
-]|None:
-    '''
-    Parse venue hours like:
-    'YYYYMMDD:HHMM-YYYYMMDD:HHMM;YYYYMMDD:CLOSED;...'
-
-    Returns `dict[date] = (open_dt, close_dt)` or `None` if
-    closed.
-
-    '''
-    if (
-        not isinstance(spec, str)
-        or
-        not spec
-    ):
-        raise ValueError('spec must be a non-empty string')
-
-    out: dict[
-        date,
-        tuple[datetime, datetime]
-    ]|None = {}
-
-    for part in (p.strip() for p in spec.split(';') if p.strip()):
-        if part.endswith(':CLOSED'):
-            day_s, _ = part.split(':', 1)
-            d = datetime.strptime(day_s, '%Y%m%d').date()
-            out[d] = None
-            continue
-
-        try:
-            start_s, end_s = part.split('-', 1)
-            start_dt = datetime.strptime(start_s, '%Y%m%d:%H%M')
-            end_dt = datetime.strptime(end_s, '%Y%m%d:%H%M')
-        except ValueError as exc:
-            raise ValueError(f'invalid segment: {part}') from exc
-
-        if tz is not None:
-            start_dt = start_dt.replace(tzinfo=tz)
-            end_dt = end_dt.replace(tzinfo=tz)
-
-        out[start_dt.date()] = (start_dt, end_dt)
-
-    return out
-
-
-# ORIG desired usage,
-#
-# TODO, for non-drunk tomorrow,
-# - call above fn and check that `output[today] is not None`
-# trading_hrs: dict = parse_trading_hours(
-#     details.tradingHours
-# )
-# liq_hrs: dict = parse_trading_hours(
-#     details.liquidHours
-    # )

piker/brokers/kraken/broker.py

@@ -62,12 +62,9 @@ from piker.clearing._messages import (
 from piker.brokers import (
     open_cached_client,
 )
-from piker.log import (
-    get_console_log,
-    get_logger,
-)
 from piker.data import open_symcache
 from .api import (
+    log,
     Client,
     BrokerError,
 )
@@ -81,8 +78,6 @@ from .ledger import (
     verify_balances,
 )
 
-log = get_logger(name=__name__)
-
 MsgUnion = Union[
     BrokerdCancel,
     BrokerdError,
@@ -436,15 +431,9 @@ def trades2pps(
 @tractor.context
 async def open_trade_dialog(
     ctx: tractor.Context,
-    loglevel: str = 'warning',
 
 ) -> AsyncIterator[dict[str, Any]]:
 
-    get_console_log(
-        level=loglevel,
-        name=__name__,
-    )
-
     async with (
         # TODO: maybe bind these together and deliver
         # a tuple from `.open_cached_client()`?
@@ -560,7 +549,7 @@ async def open_trade_dialog(
             # to be reloaded.
             balances: dict[str, float] = await client.get_balances()
 
-            await verify_balances(
+            verify_balances(
                 acnt,
                 src_fiat,
                 balances,

piker/brokers/questrade.py

@@ -37,12 +37,6 @@ import tractor
 from async_generator import asynccontextmanager
 import numpy as np
 import wrapt
-
-# TODO, port to `httpx`/`trio-websocket` whenver i get back to
-# writing a proper ws-api streamer for this backend (since the data
-# feeds are free now) as per GH feat-req:
-# https://github.com/pikers/piker/issues/509
-#
 import asks
 
 from ..calc import humanize, percent_change
@@ -50,19 +44,13 @@ from . import open_cached_client
 from piker._cacheables import async_lifo_cache
 from .. import config
 from ._util import resproc, BrokerError, SymbolNotFound
-from piker.log import (
+from ..log import (
     colorize_json,
+)
+from ._util import (
+    log,
     get_console_log,
 )
-from piker.log import (
-    get_logger,
-)
-
-
-log = get_logger(
-    name=__name__,
-)
-
 
 _use_practice_account = False
 _refresh_token_ep = 'https://{}login.questrade.com/oauth2/'
@@ -1211,10 +1199,7 @@ async def stream_quotes(
     # feed_type: str = 'stock',
 ) -> AsyncGenerator[str, Dict[str, Any]]:
     # XXX: required to propagate ``tractor`` loglevel to piker logging
-    get_console_log(
-        level=loglevel,
-        name=__name__,
-    )
+    get_console_log(loglevel)
 
     async with open_cached_client('questrade') as client:
         if feed_type == 'stock':

piker/brokers/robinhood.py

@@ -30,16 +30,9 @@ import asks
 from ._util import (
     resproc,
     BrokerError,
+    log,
 )
-from piker.calc import percent_change
-from piker.log import (
-    get_logger,
-)
-
-log = get_logger(
-    name=__name__,
-)
-
+from ..calc import percent_change
 
 _service_ep = 'https://api.robinhood.com'
 

piker/clearing/_client.py

@@ -171,6 +171,7 @@ class OrderClient(Struct):
 
 
 async def relay_orders_from_sync_code(
+
     client: OrderClient,
     symbol_key: str,
     to_ems_stream: tractor.MsgStream,
@@ -215,7 +216,7 @@ async def relay_orders_from_sync_code(
 async def open_ems(
     fqme: str,
     mode: str = 'live',
-    loglevel: str = 'warning',
+    loglevel: str = 'error',
 
 ) -> tuple[
     OrderClient,  # client
@@ -244,11 +245,6 @@ async def open_ems(
 
     async with maybe_open_emsd(
         broker,
-        # XXX NOTE, LOL so this determines the daemon `emsd` loglevel
-        # then FYI.. that's kinda wrong no?
-        # -[ ] shouldn't it be set by `pikerd -l` or no?
-        # -[ ] would make a lot more sense to have a subsys ctl for
-        #     levels.. like `-l emsd.info` or something?
         loglevel=loglevel,
     ) as portal:
 

piker/clearing/_ems.py

@@ -47,7 +47,6 @@ from tractor import trionics
 from ._util import (
     log,  # sub-sys logger
     get_console_log,
-    subsys,
 )
 from ..accounting._mktinfo import (
     unpack_fqme,
@@ -137,7 +136,7 @@ class DarkBook(Struct):
             tuple[
                 Callable[[float], bool],  # predicate
                 tuple[str, ...],  # tickfilter
-                dict|Order,  # cmd / msg type
+                dict | Order,  # cmd / msg type
 
                 # live submission constraint parameters
                 float,  # percent_away max price diff
@@ -279,7 +278,7 @@ async def clear_dark_triggers(
 
                     # remove exec-condition from set
                     log.info(f'Removing trigger for {oid}')
-                    trigger: tuple|None = execs.pop(oid, None)
+                    trigger: tuple | None = execs.pop(oid, None)
                     if not trigger:
                         log.warning(
                             f'trigger for {oid} was already removed!?'
@@ -337,8 +336,8 @@ async def open_brokerd_dialog(
     brokermod: ModuleType,
     portal: tractor.Portal,
     exec_mode: str,
-    fqme: str|None = None,
-    loglevel: str|None = None,
+    fqme: str | None = None,
+    loglevel: str | None = None,
 
 ) -> tuple[
     tractor.MsgStream,
@@ -352,21 +351,9 @@ async def open_brokerd_dialog(
     broker backend, configuration, or client code usage.
 
     '''
-    get_console_log(
-        level=loglevel,
-        name='clearing',
-    )
-    # enable `.accounting` console since normally used by
-    # each `brokerd`.
-    get_console_log(
-        level=loglevel,
-        name='piker.accounting',
-    )
     broker: str = brokermod.name
 
-    def mk_paper_ep(
-        loglevel: str,
-    ):
+    def mk_paper_ep():
         from . import _paper_engine as paper_mod
 
         nonlocal brokermod, exec_mode
@@ -401,7 +388,6 @@ async def open_brokerd_dialog(
     for ep_name in [
         'open_trade_dialog',  # probably final name?
         'trades_dialogue',  # legacy
-        # ^!TODO, rm this since all backends ported no ?!?
     ]:
         trades_endpoint = getattr(
             brokermod,
@@ -418,21 +404,17 @@ async def open_brokerd_dialog(
 
     if (
         trades_endpoint is not None
-        or
-        exec_mode != 'paper'
+        or exec_mode != 'paper'
     ):
         # open live brokerd trades endpoint
         open_trades_endpoint = portal.open_context(
             trades_endpoint,
-            loglevel=loglevel,
         )
 
     @acm
     async def maybe_open_paper_ep():
         if exec_mode == 'paper':
-            async with mk_paper_ep(
-                loglevel=loglevel,
-            ) as msg:
+            async with mk_paper_ep() as msg:
                 yield msg
                 return
 
@@ -443,9 +425,7 @@ async def open_brokerd_dialog(
             # runtime indication that the backend can't support live
             # order ctrl yet, so boot the paperboi B0
             if first == 'paper':
-                async with mk_paper_ep(
-                    loglevel=loglevel,
-                ) as msg:
+                async with mk_paper_ep() as msg:
                     yield msg
                     return
             else:
@@ -674,11 +654,7 @@ class Router(Struct):
             flume = feed.flumes[fqme]
             first_quote: dict = flume.first_quote
             book: DarkBook = self.get_dark_book(broker)
-
-            if not (last := first_quote.get('last')):
-                last: float = flume.rt_shm.array[-1]['close']
-
-            book.lasts[fqme]: float = float(last)
+            book.lasts[fqme]: float = float(first_quote['last'])
 
             async with self.maybe_open_brokerd_dialog(
                 brokermod=brokermod,
@@ -741,14 +717,13 @@ class Router(Struct):
             subs = self.subscribers[sub_key]
 
         sent_some: bool = False
-        for client_stream in subs.copy():
+        for client_stream in subs:
             try:
                 await client_stream.send(msg)
                 sent_some = True
             except (
                 trio.ClosedResourceError,
                 trio.BrokenResourceError,
-                tractor.TransportClosed,
             ):
                 to_remove.add(client_stream)
                 log.warning(
@@ -780,16 +755,12 @@ _router: Router = None
 @tractor.context
 async def _setup_persistent_emsd(
     ctx: tractor.Context,
-    loglevel: str|None = None,
+    loglevel: str | None = None,
 
 ) -> None:
 
     if loglevel:
-        _log = get_console_log(
-            level=loglevel,
-            name=subsys,
-        )
-        assert _log.name == 'piker.clearing'
+        get_console_log(loglevel)
 
     global _router
 
@@ -845,7 +816,7 @@ async def translate_and_relay_brokerd_events(
             f'Rx brokerd trade msg:\n'
             f'{fmsg}'
         )
-        status_msg: Status|None = None
+        status_msg: Status | None = None
 
         match brokerd_msg:
             # BrokerdPosition
@@ -1042,28 +1013,14 @@ async def translate_and_relay_brokerd_events(
                 status_msg.brokerd_msg = msg
                 status_msg.src = msg.broker_details['name']
 
-                if not status_msg.req:
-                    # likely some order change state?
-                    await tractor.pause()
-                else:
-                    await router.client_broadcast(
-                        status_msg.req.symbol,
-                        status_msg,
-                    )
+                await router.client_broadcast(
+                    status_msg.req.symbol,
+                    status_msg,
+                )
 
                 if status == 'closed':
-                    log.info(
-                        f'Execution is complete!\n'
-                        f'oid: {oid!r}\n'
-                    )
-                    status_msg = book._active.pop(oid, None)
-                    if status_msg is None:
-                        log.warning(
-                            f'Order was already cleared from book ??\n'
-                            f'oid: {oid!r}\n'
-                            f'\n'
-                            f'Maybe the order cancelled before submitted ??\n'
-                        )
+                    log.info(f'Execution for {oid} is complete!')
+                    status_msg = book._active.pop(oid)
 
                 elif status == 'canceled':
                     log.cancel(f'Cancellation for {oid} is complete!')
@@ -1306,7 +1263,7 @@ async def process_client_order_cmds(
                 and status.resp == 'dark_open'
             ):
                 # remove from dark book clearing
-                entry: tuple|None = dark_book.triggers[fqme].pop(oid, None)
+                entry: tuple | None = dark_book.triggers[fqme].pop(oid, None)
                 if entry:
                     (
                         pred,
@@ -1587,18 +1544,19 @@ async def maybe_open_trade_relays(
 
 @tractor.context
 async def _emsd_main(
-    ctx: tractor.Context,   # becomes `ems_ctx` below
+    ctx: tractor.Context,
     fqme: str,
     exec_mode: str,  # ('paper', 'live')
     loglevel: str|None = None,
 
-) -> tuple[  # `ctx.started()` value!
-    dict[  # positions
-        tuple[str, str],  # brokername, acctid
+) -> tuple[
+    dict[
+        # brokername, acctid
+        tuple[str, str],
         list[BrokerdPosition],
     ],
-    list[str],  # accounts
-    dict[str, Status],  # dialogs
+    list[str],
+    dict[str, Status],
 ]:
     '''
     EMS (sub)actor entrypoint providing the execution management
@@ -1723,5 +1681,5 @@ async def _emsd_main(
                     if not client_streams:
                         log.warning(
                             f'Order dialog is not being monitored:\n'
-                            f'{oid!r} <-> {client_stream.chan.aid.reprol()}\n'
+                            f'{oid} ->\n{client_stream._ctx.chan.uid}'
                         )

piker/clearing/_messages.py

@@ -301,9 +301,6 @@ class BrokerdError(Struct):
 
 # TODO: yeah, so we REALLY need to completely deprecate
 # this and use the `.accounting.Position` msg-type instead..
-# -[ ] an alternative might be to add a `Position.summary() ->
-#   `PositionSummary`-msg that we generate since `Position` has a lot
-#   of fields by default we likely don't want to send over the wire?
 class BrokerdPosition(Struct):
     '''
     Position update event from brokerd.
@@ -316,4 +313,3 @@ class BrokerdPosition(Struct):
     avg_price: float
     currency: str = ''
     name: str = 'position'
-    bs_mktid: str|int|None = None

piker/clearing/_paper_engine.py

@@ -59,9 +59,9 @@ from piker.data import (
     open_symcache,
 )
 from piker.types import Struct
-from piker.log import (
+from ._util import (
+    log,  # sub-sys logger
     get_console_log,
-    get_logger,
 )
 from ._messages import (
     BrokerdCancel,
@@ -73,8 +73,6 @@ from ._messages import (
     BrokerdError,
 )
 
-log = get_logger(name=__name__)
-
 
 class PaperBoi(Struct):
     '''
@@ -299,8 +297,6 @@ class PaperBoi(Struct):
 
         # transmit pp msg to ems
         pp: Position = self.acnt.pps[bs_mktid]
-        # TODO, this will break if `require_only=True` was passed to
-        # `.update_from_ledger()`
 
         pp_msg = BrokerdPosition(
             broker=self.broker,
@@ -552,18 +548,16 @@ _sells: defaultdict[
 
 @tractor.context
 async def open_trade_dialog(
+
     ctx: tractor.Context,
     broker: str,
-    fqme: str|None = None,  # if empty, we only boot broker mode
+    fqme: str | None = None,  # if empty, we only boot broker mode
     loglevel: str = 'warning',
 
 ) -> None:
 
-    # enable piker.clearing console log for *this* `brokerd` subactor
-    get_console_log(
-        level=loglevel,
-        name=__name__,
-    )
+    # enable piker.clearing console log for *this* subactor
+    get_console_log(loglevel)
 
     symcache: SymbologyCache
     async with open_symcache(get_brokermod(broker)) as symcache:
@@ -659,7 +653,6 @@ async def open_trade_dialog(
                 # in) use manually constructed table from calling
                 # the `.get_mkt_info()` provider EP above.
                 _mktmap_table=mkt_by_fqme,
-                only_require=list(mkt_by_fqme),
             )
 
             pp_msgs: list[BrokerdPosition] = []

piker/clearing/_util.py

@@ -28,14 +28,11 @@ from ..log import (
 from piker.types import Struct
 subsys: str = 'piker.clearing'
 
-log = get_logger(
-    name='piker.clearing',
-)
+log = get_logger(subsys)
 
-# TODO, oof doesn't this ignore the `loglevel` then???
 get_console_log = partial(
     get_console_log,
-    name='clearing',
+    name=subsys,
 )
 
 

piker/cli/__init__.py

@@ -61,8 +61,7 @@ def load_trans_eps(
 
     if (
         network
-        and
-        not maddrs
+        and not maddrs
     ):
         # load network section and (attempt to) connect all endpoints
         # which are reachable B)
@@ -113,27 +112,31 @@ def load_trans_eps(
     default=None,
     help='Multiaddrs to bind or contact',
 )
+# @click.option(
+#     '--tsdb',
+#     is_flag=True,
+#     help='Enable local ``marketstore`` instance'
+# )
+# @click.option(
+#     '--es',
+#     is_flag=True,
+#     help='Enable local ``elasticsearch`` instance'
+# )
 def pikerd(
     maddr: list[str] | None,
     loglevel: str,
     tl: bool,
     pdb: bool,
+    # tsdb: bool,
+    # es: bool,
 ):
     '''
-    Start the "root service actor", `pikerd`, run it until
-    cancellation.
-
-    This "root daemon" operates as the top most service-mngr and
-    subsys-as-subactor supervisor, think of it as the "init proc" of
-    any of any `piker` application or daemon-process tree.
+    Spawn the piker broker-daemon.
 
     '''
     # from tractor.devx import maybe_open_crash_handler
     # with maybe_open_crash_handler(pdb=False):
-    log = get_console_log(
-        level=loglevel,
-        with_tractor_log=tl,
-    )
+    log = get_console_log(loglevel, name='cli')
 
     if pdb:
         log.warning((
@@ -180,8 +183,8 @@ def pikerd(
                 registry_addrs=regaddrs,
                 loglevel=loglevel,
                 debug_mode=pdb,
-                # enable_transports=['uds'],
-                enable_transports=['tcp'],
+                enable_transports=['uds'],
+                # enable_transports=['tcp'],
             ) as service_mngr,
         ):
             assert service_mngr
@@ -234,14 +237,6 @@ def cli(
     regaddr: str,
 
 ) -> None:
-    '''
-    The "root" `piker`-cmd CLI endpoint.
-
-    NOTE, this def generally relies on and requires a sub-cmd to be
-    provided by the user, OW only a `--help` msg (listing said
-    subcmds) will be dumped to console.
-
-    '''
     if configdir is not None:
         assert os.path.isdir(configdir), f"`{configdir}` is not a valid path"
         config._override_config_dir(configdir)
@@ -300,50 +295,17 @@ def cli(
 @click.option('--tl', is_flag=True, help='Enable tractor logging')
 @click.argument('ports', nargs=-1, required=False)
 @click.pass_obj
-def services(
-    config,
-    tl: bool,
-    ports: list[int],
-):
-    '''
-    List all `piker` "service deamons" to the console in
-    a `json`-table which maps each actor's UID in the form,
+def services(config, tl, ports):
 
-    `{service_name}.{subservice_name}.{UUID}`
-
-    to its (primary) IPC server address.
-
-    (^TODO, should be its multiaddr form once we support it)
-
-    Note that by convention actors which operate as "headless"
-    processes (those without GUIs/graphics, and which generally
-    parent some noteworthy subsystem) are normally suffixed by
-    a "d" such as,
-
-    - pikerd: the root runtime supervisor
-    - brokerd: a broker-backend order ctl daemon
-    - emsd: the internal dark-clearing and order routing daemon
-    - datad: a data-provider-backend data feed daemon
-    - samplerd: the real-time data sampling and clock-syncing daemon
-
-    "Headed units" are normally just given an obvious app-like name
-    with subactors indexed by `.` such as,
-    - chart: the primary modal charting iface, a Qt app
-    - chart.fsp_0: a financial-sig-proc cascade instance which
-                   delivers graphics to a parent `chart` app.
-    - polars_boi: some (presumably) `polars` using console app.
-
-    '''
-    from piker.service import (
+    from ..service import (
         open_piker_runtime,
         _default_registry_port,
         _default_registry_host,
     )
 
-    # !TODO, mk this to work with UDS!
-    host: str = _default_registry_host
+    host = _default_registry_host
     if not ports:
-        ports: list[int] = [_default_registry_port]
+        ports = [_default_registry_port]
 
     addr = tractor._addr.wrap_address(
         addr=(host, ports[0])
@@ -354,11 +316,7 @@ def services(
         async with (
             open_piker_runtime(
                 name='service_query',
-                loglevel=(
-                    config['loglevel']
-                    if tl
-                    else None
-                ),
+                loglevel=config['loglevel'] if tl else None,
             ),
             tractor.get_registry(
                 addr=addr,
@@ -378,15 +336,7 @@ def services(
 
 
 def _load_clis() -> None:
-    '''
-    Dynamically load and register all subsys CLI endpoints (at call
-    time).
-
-    NOTE, obviously this is normally expected to be called at
-    `import` time and implicitly relies on our use of various
-    `click`/`typer` decorator APIs.
-
-    '''
+    # from ..service import elastic  # noqa
     from ..brokers import cli  # noqa
     from ..ui import cli  # noqa
     from ..watchlists import cli  # noqa
@@ -396,5 +346,5 @@ def _load_clis() -> None:
     from ..accounting import cli  # noqa
 
 
-# load all subsytem cli eps
+# load downstream cli modules
 _load_clis()

piker/config.py

@@ -19,6 +19,7 @@ Platform configuration (files) mgmt.
 
 """
 import platform
+import sys
 import os
 import shutil
 from typing import (
@@ -28,7 +29,6 @@ from typing import (
 from pathlib import Path
 
 from bidict import bidict
-import platformdirs
 import tomlkit
 try:
     import tomllib
@@ -41,34 +41,54 @@ from .log import get_logger
 log = get_logger('broker-config')
 
 
-# XXX NOTE: orig impl was taken from `click`
-# |_https://github.com/pallets/click/blob/main/src/click/utils.py#L449
-#
-# (since apparently they have some super weirdness with SIGINT and
-# sudo.. no clue we're probably going to slowly just modify it to our
-# own version over time..)
-#
+# XXX NOTE: taken from ``click`` since apparently they have some
+# super weirdness with sigint and sudo..no clue
+# we're probably going to slowly just modify it to our own version over
+# time..
 def get_app_dir(
     app_name: str,
     roaming: bool = True,
     force_posix: bool = False,
 
 ) -> str:
-    '''
-    Returns the config folder for the application.  The default behavior
+    r"""Returns the config folder for the application.  The default behavior
     is to return whatever is most appropriate for the operating system.
 
-    ----
-    NOTE, below is originally from `click` impl fn, we can prolly remove?
-    ----
+    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()
+
     # NOTE: for testing with `pytest` we leverage the `tmp_dir`
     # fixture to generate (and clean up) a test-request-specific
     # directory for isolated configuration files such that,
@@ -94,30 +114,23 @@ def get_app_dir(
     #         assert testdirpath.exists(), 'piker test harness might be borked!?'
     #         app_name = str(testdirpath)
 
-    os_name: str = platform.system()
-    conf_dir: Path = platformdirs.user_config_path()
-    app_dir: Path = conf_dir / app_name
-
-    # ?TODO, from `click`; can remove?
+    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:
-        def _posixify(name):
-            return "-".join(name.split()).lower()
-
         return os.path.join(
-            os.path.expanduser(
-                "~/.{}".format(
-                    _posixify(app_name)
-                )
-            )
+            os.path.expanduser("~/.{}".format(_posixify(app_name))))
+    if sys.platform == "darwin":
+        return os.path.join(
+            os.path.expanduser("~/Library/Application Support"), app_name
         )
-
-    log.info(
-        f'Using user config directory,\n'
-        f'platform.system(): {os_name!r}\n'
-        f'conf_dir: {conf_dir!r}\n'
-        f'app_dir: {conf_dir!r}\n'
+    return os.path.join(
+        os.environ.get("XDG_CONFIG_HOME", os.path.expanduser("~/.config")),
+        _posixify(app_name),
     )
-    return app_dir
 
 
 _click_config_dir: Path = Path(get_app_dir('piker'))
@@ -234,9 +247,7 @@ def repodir() -> Path:
         repodir: Path = Path(os.environ.get('GITHUB_WORKSPACE'))
         confdir: Path = repodir / 'config'
 
-    assert confdir.is_dir(), (
-        f'{confdir} DNE, {repodir} is likely incorrect!'
-    )
+    assert confdir.is_dir(), f'{confdir} DNE, {repodir} is likely incorrect!'
     return repodir
 
 
@@ -250,7 +261,7 @@ def load(
         MutableMapping,
     ] = tomllib.loads,
 
-    touch_if_dne: bool = True,
+    touch_if_dne: bool = False,
 
     **tomlkws,
 
@@ -259,7 +270,7 @@ def load(
     Load config file by name.
 
     If desired config is not in the top level piker-user config path then
-    pass the `path: Path` explicitly.
+    pass the ``path: Path`` explicitly.
 
     '''
     # create the $HOME/.config/piker dir if dne
@@ -274,8 +285,7 @@ def load(
 
     if (
         not path.is_file()
-        and
-        touch_if_dne
+        and touch_if_dne
     ):
         # only do a template if no path provided,
         # just touch an empty file with same name.

piker/data/__init__.py

@@ -23,13 +23,13 @@ sharing live streams over a network.
 
 """
 from .ticktools import iterticks
-from tractor.ipc._shm import (
-    ShmArray,
+from ._sharedmem import (
+    maybe_open_shm_array,
+    attach_shm_array,
+    open_shm_array,
     get_shm_token,
-    open_shm_ndarray as open_shm_array,
-    attach_shm_ndarray as attach_shm_array,
+    ShmArray,
 )
-from ._sharedmem import maybe_open_shm_array
 from ._source import (
     def_iohlcv_fields,
     def_ohlcv_fields,

piker/data/_formatters.py

@@ -28,7 +28,9 @@ from msgspec import field
 import numpy as np
 from numpy.lib import recfunctions as rfn
 
-from tractor.ipc._shm import ShmArray
+from ._sharedmem import (
+    ShmArray,
+)
 from ._pathops import (
     path_arrays_from_ohlc,
 )

piker/data/_sampling.py

@@ -55,7 +55,9 @@ from ._util import (
 from ..service import maybe_spawn_daemon
 
 if TYPE_CHECKING:
-    from tractor.ipc._shm import ShmArray
+    from ._sharedmem import (
+        ShmArray,
+    )
     from .feed import (
         _FeedsBus,
         Sub,
@@ -78,27 +80,20 @@ class Sampler:
     This non-instantiated type is meant to be a singleton within
     a `samplerd` actor-service spawned once by the user wishing to
     time-step-sample (real-time) quote feeds, see
-    `.service.maybe_open_samplerd()` and the below
-    `register_with_sampler()`.
+    ``.service.maybe_open_samplerd()`` and the below
+    ``register_with_sampler()``.
 
     '''
-    service_nursery: None|trio.Nursery = None
+    service_nursery: None | trio.Nursery = None
 
-    # TODO: we could stick these in a composed type to avoid angering
-    # the "i hate module scoped variables crowd" (yawn).
+    # TODO: we could stick these in a composed type to avoid
+    # angering the "i hate module scoped variables crowd" (yawn).
     ohlcv_shms: dict[float, list[ShmArray]] = {}
 
     # holds one-task-per-sample-period tasks which are spawned as-needed by
     # data feed requests with a given detected time step usually from
     # history loading.
-    incr_task_cs: trio.CancelScope|None = None
-
-    bcast_errors: tuple[Exception] = (
-        trio.BrokenResourceError,
-        trio.ClosedResourceError,
-        trio.EndOfChannel,
-        tractor.TransportClosed,
-    )
+    incr_task_cs: trio.CancelScope | None = None
 
     # holds all the ``tractor.Context`` remote subscriptions for
     # a particular sample period increment event: all subscribers are
@@ -247,8 +242,8 @@ class Sampler:
     async def broadcast(
         self,
         period_s: float,
-        time_stamp: float|None = None,
-        info: dict|None = None,
+        time_stamp: float | None = None,
+        info: dict | None = None,
 
     ) -> None:
         '''
@@ -263,15 +258,14 @@ class Sampler:
         subs: set
         last_ts, subs = pair
 
-        # NOTE, for debugging pub-sub issues
-        # task = trio.lowlevel.current_task()
-        # log.debug(
-        #     f'AlL-SUBS@{period_s!r}: {self.subscribers}\n'
-        #     f'PAIR: {pair}\n'
-        #     f'TASK: {task}: {id(task)}\n'
-        #     f'broadcasting {period_s} -> {last_ts}\n'
-        #     f'consumers: {subs}'
-        # )
+        task = trio.lowlevel.current_task()
+        log.debug(
+            f'SUBS {self.subscribers}\n'
+            f'PAIR {pair}\n'
+            f'TASK: {task}: {id(task)}\n'
+            f'broadcasting {period_s} -> {last_ts}\n'
+            # f'consumers: {subs}'
+        )
         borked: set[MsgStream] = set()
         sent: set[MsgStream] = set()
         while True:
@@ -288,12 +282,13 @@ class Sampler:
                         await stream.send(msg)
                         sent.add(stream)
 
-                    except self.bcast_errors as err:
+                    except (
+                        trio.BrokenResourceError,
+                        trio.ClosedResourceError,
+                        trio.EndOfChannel,
+                    ):
                         log.error(
-                            f'Connection dropped for IPC ctx due to,\n'
-                            f'{type(err)!r}\n'
-                            f'\n'
-                            f'{stream._ctx}'
+                            f'{stream._ctx.chan.uid} dropped connection'
                         )
                         borked.add(stream)
                 else:
@@ -313,7 +308,7 @@ class Sampler:
     @classmethod
     async def broadcast_all(
         self,
-        info: dict|None = None,
+        info: dict | None = None,
     ) -> None:
 
         # NOTE: take a copy of subs since removals can happen
@@ -330,22 +325,14 @@ class Sampler:
 async def register_with_sampler(
     ctx: Context,
     period_s: float,
-    shms_by_period: dict[float, dict]|None = None,
+    shms_by_period: dict[float, dict] | None = None,
 
     open_index_stream: bool = True,  # open a 2way stream for sample step msgs?
     sub_for_broadcasts: bool = True,  # sampler side to send step updates?
-    loglevel: str|None = None,
 
-) -> set[int]:
+) -> None:
 
-    get_console_log(
-        level=(
-            loglevel
-            or
-            tractor.current_actor().loglevel
-        ),
-        name=__name__,
-    )
+    get_console_log(tractor.current_actor().loglevel)
     incr_was_started: bool = False
 
     try:
@@ -370,36 +357,26 @@ async def register_with_sampler(
 
             # insert the base 1s period (for OHLC style sampling) into
             # the increment buffer set to update and shift every second.
-            if (
-                shms_by_period is not None
-                # and
-                # feed_is_live.is_set()
-                # ^TODO? pass it in instead?
-            ):
-                from tractor.ipc._shm import (
-                    attach_shm_ndarray,
-                    NDToken,
+            if shms_by_period is not None:
+                from ._sharedmem import (
+                    attach_shm_array,
+                    _Token,
                 )
                 for period in shms_by_period:
 
                     # load and register shm handles
                     shm_token_msg = shms_by_period[period]
-                    shm = attach_shm_ndarray(
-                        NDToken.from_msg(shm_token_msg),
+                    shm = attach_shm_array(
+                        _Token.from_msg(shm_token_msg),
                         readonly=False,
                     )
                     shms_by_period[period] = shm
-                    Sampler.ohlcv_shms.setdefault(
-                        period,
-                        [],
-                    ).append(shm)
+                    Sampler.ohlcv_shms.setdefault(period, []).append(shm)
 
                 assert Sampler.ohlcv_shms
 
             # unblock caller
-            await ctx.started(
-                set(Sampler.ohlcv_shms.keys())
-            )
+            await ctx.started(set(Sampler.ohlcv_shms.keys()))
 
             if open_index_stream:
                 try:
@@ -418,8 +395,7 @@ async def register_with_sampler(
                 finally:
                     if (
                         sub_for_broadcasts
-                        and
-                        subs
+                        and subs
                     ):
                         try:
                             subs.remove(stream)
@@ -445,7 +421,7 @@ async def register_with_sampler(
 
 async def spawn_samplerd(
 
-    loglevel: str|None = None,
+    loglevel: str | None = None,
     **extra_tractor_kwargs
 
 ) -> bool:
@@ -482,7 +458,6 @@ async def spawn_samplerd(
                 register_with_sampler,
                 period_s=1,
                 sub_for_broadcasts=False,
-                loglevel=loglevel,
             )
             return True
 
@@ -491,7 +466,8 @@ async def spawn_samplerd(
 
 @acm
 async def maybe_open_samplerd(
-    loglevel: str|None = None,
+
+    loglevel: str | None = None,
     **pikerd_kwargs,
 
 ) -> tractor.Portal:  # noqa
@@ -516,13 +492,13 @@ async def maybe_open_samplerd(
 @acm
 async def open_sample_stream(
     period_s: float,
-    shms_by_period: dict[float, dict]|None = None,
+    shms_by_period: dict[float, dict] | None = None,
     open_index_stream: bool = True,
     sub_for_broadcasts: bool = True,
-    loglevel: str|None = None,
 
-    # cache_key: str|None = None,
-    # allow_new_sampler: bool = True,
+    cache_key: str | None = None,
+    allow_new_sampler: bool = True,
+
     ensure_is_active: bool = False,
 
 ) -> AsyncIterator[dict[str, float]]:
@@ -551,15 +527,11 @@ async def open_sample_stream(
     #         yield bistream
     # else:
 
-    ctx: tractor.Context
-    shm_periods: set[int]  # in `int`-seconds
     async with (
         # XXX: this should be singleton on a host,
         # a lone broker-daemon per provider should be
         # created for all practical purposes
-        maybe_open_samplerd(
-            loglevel=loglevel,
-        ) as portal,
+        maybe_open_samplerd() as portal,
 
         portal.open_context(
             register_with_sampler,
@@ -568,12 +540,11 @@ async def open_sample_stream(
                 'shms_by_period': shms_by_period,
                 'open_index_stream': open_index_stream,
                 'sub_for_broadcasts': sub_for_broadcasts,
-                'loglevel': loglevel,
             },
-        ) as (ctx, shm_periods)
+        ) as (ctx, first)
     ):
         if ensure_is_active:
-            assert len(shm_periods) > 1
+            assert len(first) > 1
 
         async with (
             ctx.open_stream(
@@ -591,7 +562,8 @@ async def open_sample_stream(
 
 
 async def sample_and_broadcast(
-    bus: _FeedsBus,
+
+    bus: _FeedsBus,  # noqa
     rt_shm: ShmArray,
     hist_shm: ShmArray,
     quote_stream: trio.abc.ReceiveChannel,
@@ -611,33 +583,11 @@ async def sample_and_broadcast(
 
     overruns = Counter()
 
-    # NOTE, only used for debugging live-data-feed issues, though
-    # this should be resolved more correctly in the future using the
-    # new typed-msgspec feats of `tractor`!
-    #
-    # XXX, a multiline nested `dict` formatter (since rn quote-msgs
-    # are just that).
-    # pfmt: Callable[[str], str] = mk_repr()
-
     # iterate stream delivered by broker
     async for quotes in quote_stream:
         # print(quotes)
 
-        # XXX WARNING XXX only enable for debugging bc ow can cost
-        # ALOT of perf with HF-feedz!!!
-        #
-        # log.info(
-        #     'Rx live quotes:\n'
-        #     f'{pfmt(quotes)}'
-        # )
-
-        # TODO,
-        # -[ ] `numba` or `cython`-nize this loop possibly?
-        #  |_alternatively could we do it in rust somehow by upacking
-        #    arrow msgs instead of using `msgspec`?
-        # -[ ] use `msgspec.Struct` support in new typed-msging from
-        #     `tractor` to ensure only allowed msgs are transmitted?
-        #
+        # TODO: ``numba`` this!
         for broker_symbol, quote in quotes.items():
             # TODO: in theory you can send the IPC msg *before* writing
             # to the sharedmem array to decrease latency, however, that
@@ -710,21 +660,6 @@ async def sample_and_broadcast(
             sub_key: str = broker_symbol.lower()
             subs: set[Sub] = bus.get_subs(sub_key)
 
-            # TODO, figure out how to make this useful whilst
-            # incoporating feed "pausing" ..
-            #
-            # if not subs:
-            #     all_bs_fqmes: list[str] = list(
-            #         bus._subscribers.keys()
-            #     )
-            #     log.warning(
-            #         f'No subscribers for {brokername!r} live-quote ??\n'
-            #         f'broker_symbol: {broker_symbol}\n\n'
-
-            #         f'Maybe the backend-sys symbol does not match one of,\n'
-            #         f'{pfmt(all_bs_fqmes)}\n'
-            #     )
-
             # NOTE: by default the broker backend doesn't append
             # it's own "name" into the fqme schema (but maybe it
             # should?) so we have to manually generate the correct
@@ -764,7 +699,7 @@ async def sample_and_broadcast(
                                 log.warning(
                                     f'Feed OVERRUN {sub_key}'
                                     f'@{bus.brokername} -> \n'
-                                    f'feed @ {chan.aid.reprol()}\n'
+                                    f'feed @ {chan.uid}\n'
                                     f'throttle = {throttle} Hz'
                                 )
 
@@ -794,14 +729,18 @@ async def sample_and_broadcast(
                         if lags > 10:
                             await tractor.pause()
 
-                except Sampler.bcast_errors as ipc_err:
+                except (
+                    trio.BrokenResourceError,
+                    trio.ClosedResourceError,
+                    trio.EndOfChannel,
+                ):
                     ctx: Context = ipc._ctx
                     chan: Channel = ctx.chan
                     if ctx:
                         log.warning(
-                            f'Dropped `brokerd`-feed for {broker_symbol!r} due to,\n'
-                            f'x>) {ctx.cid}@{chan.uid}'
-                            f'|_{ipc_err!r}\n\n'
+                            'Dropped `brokerd`-quotes-feed connection:\n'
+                            f'{broker_symbol}:'
+                            f'{ctx.cid}@{chan.uid}'
                         )
                     if sub.throttle_rate:
                         assert ipc._closed
@@ -818,11 +757,12 @@ async def sample_and_broadcast(
 
 
 async def uniform_rate_send(
+
     rate: float,
     quote_stream: trio.abc.ReceiveChannel,
     stream: MsgStream,
 
-    task_status: TaskStatus[None] = trio.TASK_STATUS_IGNORED,
+    task_status: TaskStatus = trio.TASK_STATUS_IGNORED,
 
 ) -> None:
     '''
@@ -840,16 +780,13 @@ async def uniform_rate_send(
     https://gist.github.com/njsmith/7ea44ec07e901cb78ebe1dd8dd846cb9
 
     '''
-    # ?TODO? dynamically compute the **actual** approx overhead latency per cycle
-    # instead of this magic # bidinezz?
-    throttle_period: float = 1/rate - 0.000616
-    left_to_sleep: float = throttle_period
+    # TODO: compute the approx overhead latency per cycle
+    left_to_sleep = throttle_period = 1/rate - 0.000616
 
     # send cycle state
-    first_quote: dict|None
     first_quote = last_quote = None
-    last_send: float = time.time()
-    diff: float = 0
+    last_send = time.time()
+    diff = 0
 
     task_status.started()
     ticks_by_type: dict[
@@ -860,28 +797,22 @@ async def uniform_rate_send(
     clear_types = _tick_groups['clears']
 
     while True:
+
         # compute the remaining time to sleep for this throttled cycle
-        left_to_sleep: float = throttle_period - diff
+        left_to_sleep = throttle_period - diff
 
         if left_to_sleep > 0:
-            cs: trio.CancelScope
             with trio.move_on_after(left_to_sleep) as cs:
-                sym: str
-                last_quote: dict
                 try:
                     sym, last_quote = await quote_stream.receive()
                 except trio.EndOfChannel:
-                    log.exception(
-                        f'Live stream for feed for ended?\n'
-                        f'<=c\n'
-                        f'  |_[{stream!r}\n'
-                    )
+                    log.exception(f"feed for {stream} ended?")
                     break
 
-                diff: float = time.time() - last_send
+                diff = time.time() - last_send
 
                 if not first_quote:
-                    first_quote: float = last_quote
+                    first_quote = last_quote
                     # first_quote['tbt'] = ticks_by_type
 
                 if (throttle_period - diff) > 0:
@@ -942,12 +873,11 @@ async def uniform_rate_send(
         # TODO: now if only we could sync this to the display
         # rate timing exactly lul
         try:
-            await stream.send({
-                sym: first_quote
-            })
+            await stream.send({sym: first_quote})
         except tractor.RemoteActorError as rme:
             if rme.type is not tractor._exceptions.StreamOverrun:
                 raise
+
             ctx = stream._ctx
             chan = ctx.chan
             log.warning(
@@ -955,28 +885,20 @@ async def uniform_rate_send(
                 f'{sym}:{ctx.cid}@{chan.uid}'
             )
 
-        # NOTE: any of these can be raised by `tractor`'s IPC
-        # transport-layer and we want to be highly resilient
-        # to consumers which crash or lose network connection.
-        # I.e. we **DO NOT** want to crash and propagate up to
-        # ``pikerd`` these kinds of errors!
         except (
+            # NOTE: any of these can be raised by ``tractor``'s IPC
+            # transport-layer and we want to be highly resilient
+            # to consumers which crash or lose network connection.
+            # I.e. we **DO NOT** want to crash and propagate up to
+            # ``pikerd`` these kinds of errors!
+            trio.ClosedResourceError,
+            trio.BrokenResourceError,
             ConnectionResetError,
-        ) + Sampler.bcast_errors as ipc_err:
-            match ipc_err:
-                case trio.EndOfChannel():
-                    log.info(
-                        f'{stream} terminated by peer,\n'
-                        f'{ipc_err!r}'
-                    )
-                case _:
-                    # if the feed consumer goes down then drop
-                    # out of this rate limiter
-                    log.warning(
-                        f'{stream} closed due to,\n'
-                        f'{ipc_err!r}'
-                    )
-
+            trio.EndOfChannel,
+        ):
+            # if the feed consumer goes down then drop
+            # out of this rate limiter
+            log.warning(f'{stream} closed')
             await stream.aclose()
             return
 

piker/data/_sharedmem.py

@@ -1,106 +1,655 @@
 # 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 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.
+# 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/>.
+# 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/>.
 
-'''
-Piker-specific shared memory helpers.
+"""
+NumPy compatible shared memory buffers for real-time IPC streaming.
 
-Thin shim providing piker-only wrappers around
-``tractor.ipc._shm``; all core types and functions
-are now imported directly from tractor throughout
-the codebase.
+"""
+from __future__ import annotations
+from sys import byteorder
+import time
+from typing import Optional
+from multiprocessing.shared_memory import SharedMemory, _USE_POSIX
 
-'''
+if _USE_POSIX:
+    from _posixshmem import shm_unlink
+
+# import msgspec
 import numpy as np
-
-from tractor.ipc._shm import (
-    NDToken,
-    ShmArray,
-    _known_tokens,
-    _make_token as _tractor_make_token,
-    open_shm_ndarray,
-    attach_shm_ndarray,
-)
+from numpy.lib import recfunctions as rfn
+import tractor
 
 from ._util import log
+from ._source import def_iohlcv_fields
+from piker.types import Struct
+
+
+def cuckoff_mantracker():
+    '''
+    Disable all ``multiprocessing``` "resource tracking" machinery since
+    it's an absolute multi-threaded mess of non-SC madness.
+
+    '''
+    from multiprocessing import resource_tracker as mantracker
+
+    # 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
+    mantracker.unregister = mantracker._resource_tracker.unregister
+    mantracker.getfd = mantracker._resource_tracker.getfd
+
+
+cuckoff_mantracker()
+
+
+class SharedInt:
+    """Wrapper around a single entry shared memory array which
+    holds an ``int`` value used as an index counter.
+
+    """
+    def __init__(
+        self,
+        shm: SharedMemory,
+    ) -> None:
+        self._shm = shm
+
+    @property
+    def value(self) -> int:
+        return int.from_bytes(self._shm.buf, byteorder)
+
+    @value.setter
+    def value(self, value) -> None:
+        self._shm.buf[:] = value.to_bytes(self._shm.size, byteorder)
+
+    def destroy(self) -> None:
+        if _USE_POSIX:
+            # We manually unlink to bypass all the "resource tracker"
+            # nonsense meant for non-SC systems.
+            name = self._shm.name
+            try:
+                shm_unlink(name)
+            except FileNotFoundError:
+                # might be a teardown race here?
+                log.warning(f'Shm for {name} already unlinked?')
+
+
+class _Token(Struct, frozen=True):
+    '''
+    Internal represenation of a shared memory "token"
+    which can be used to key a system wide post shm entry.
+
+    '''
+    shm_name: str  # this servers as a "key" value
+    shm_first_index_name: str
+    shm_last_index_name: str
+    dtype_descr: tuple
+    size: int  # in struct-array index / row terms
+
+    @property
+    def dtype(self) -> np.dtype:
+        return np.dtype(list(map(tuple, self.dtype_descr))).descr
+
+    def as_msg(self):
+        return self.to_dict()
+
+    @classmethod
+    def from_msg(cls, msg: dict) -> _Token:
+        if isinstance(msg, _Token):
+            return msg
+
+        # TODO: native struct decoding
+        # return _token_dec.decode(msg)
+
+        msg['dtype_descr'] = tuple(map(tuple, msg['dtype_descr']))
+        return _Token(**msg)
+
+
+# _token_dec = msgspec.msgpack.Decoder(_Token)
+
+# TODO: this api?
+# _known_tokens = tractor.ActorVar('_shm_tokens', {})
+# _known_tokens = tractor.ContextStack('_known_tokens', )
+# _known_tokens = trio.RunVar('shms', {})
+
+# process-local store of keys to tokens
+_known_tokens = {}
+
+
+def get_shm_token(key: str) -> _Token:
+    """Convenience func to check if a token
+    for the provided key is known by this process.
+    """
+    return _known_tokens.get(key)
 
 
 def _make_token(
     key: str,
     size: int,
-    dtype: np.dtype|None = None,
-) -> NDToken:
+    dtype: Optional[np.dtype] = None,
+) -> _Token:
     '''
-    Wrap tractor's ``_make_token()`` with piker's
-    default dtype fallback to ``def_iohlcv_fields``.
+    Create a serializable token that can be used
+    to access a shared array.
 
     '''
-    from ._source import def_iohlcv_fields
-    dtype = (
-        def_iohlcv_fields
-        if dtype is None
-        else dtype
+    dtype = def_iohlcv_fields if dtype is None else dtype
+    return _Token(
+        shm_name=key,
+        shm_first_index_name=key + "_first",
+        shm_last_index_name=key + "_last",
+        dtype_descr=tuple(np.dtype(dtype).descr),
+        size=size,
     )
-    return _tractor_make_token(
+
+
+class ShmArray:
+    '''
+    A shared memory ``numpy`` (compatible) array API.
+
+    An underlying shared memory buffer is allocated based on
+    a user specified ``numpy.ndarray``. This fixed size array
+    can be read and written to by pushing data both onto the "front"
+    or "back" of a set index range. The indexes for the "first" and
+    "last" index are themselves stored in shared memory (accessed via
+    ``SharedInt`` interfaces) values such that multiple processes can
+    interact with the same array using a synchronized-index.
+
+    '''
+    def __init__(
+        self,
+        shmarr: np.ndarray,
+        first: SharedInt,
+        last: SharedInt,
+        shm: SharedMemory,
+        # readonly: bool = True,
+    ) -> None:
+        self._array = shmarr
+
+        # indexes for first and last indices corresponding
+        # to fille data
+        self._first = first
+        self._last = last
+
+        self._len = len(shmarr)
+        self._shm = shm
+        self._post_init: bool = False
+
+        # pushing data does not write the index (aka primary key)
+        dtype = shmarr.dtype
+        if dtype.fields:
+            self._write_fields = list(shmarr.dtype.fields.keys())[1:]
+        else:
+            self._write_fields = None
+
+    # TODO: ringbuf api?
+
+    @property
+    def _token(self) -> _Token:
+        return _Token(
+            shm_name=self._shm.name,
+            shm_first_index_name=self._first._shm.name,
+            shm_last_index_name=self._last._shm.name,
+            dtype_descr=tuple(self._array.dtype.descr),
+            size=self._len,
+        )
+
+    @property
+    def token(self) -> dict:
+        """Shared memory token that can be serialized and used by
+        another process to attach to this array.
+        """
+        return self._token.as_msg()
+
+    @property
+    def index(self) -> int:
+        return self._last.value % self._len
+
+    @property
+    def array(self) -> np.ndarray:
+        '''
+        Return an up-to-date ``np.ndarray`` view of the
+        so-far-written data to the underlying shm buffer.
+
+        '''
+        a = self._array[self._first.value:self._last.value]
+
+        # first, last = self._first.value, self._last.value
+        # a = self._array[first:last]
+
+        # TODO: eventually comment this once we've not seen it in the
+        # wild in a long time..
+        # XXX: race where first/last indexes cause a reader
+        # to load an empty array..
+        if len(a) == 0 and self._post_init:
+            raise RuntimeError('Empty array race condition hit!?')
+
+        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 = 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,
+
+    ) -> np.ndarray:
+        '''
+        Return the last ``length``'s worth of ("row") entries from the
+        array.
+
+        '''
+        return self.array[-length:]
+
+    def push(
+        self,
+        data: np.ndarray,
+
+        field_map: Optional[dict[str, str]] = None,
+        prepend: bool = False,
+        update_first: bool = True,
+        start: int | None = None,
+
+    ) -> int:
+        '''
+        Ring buffer like "push" to append data
+        into the buffer and return updated "last" index.
+
+        NB: no actual ring logic yet to give a "loop around" on overflow
+        condition, lel.
+
+        '''
+        length = len(data)
+
+        if prepend:
+            index = (start or self._first.value) - length
+
+            if index < 0:
+                raise ValueError(
+                    f'Array size of {self._len} was overrun during prepend.\n'
+                    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:
+            src_names, dst_names = zip(*field_map.items())
+        else:
+            dst_names = src_names = self._write_fields
+
+        try:
+            self._array[
+                list(dst_names)
+            ][index:end] = data[list(src_names)][:]
+
+            # NOTE: there was a race here between updating
+            # the first and last indices and when the next reader
+            # tries to access ``.array`` (which due to the index
+            # overlap will be empty). Pretty sure we've fixed it now
+            # but leaving this here as a reminder.
+            if (
+                prepend
+                and update_first
+                and length
+            ):
+                assert 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
+
+            elif not prepend:
+                self._last.value = end
+
+            self._post_init = True
+            return end
+
+        except ValueError as err:
+            if field_map:
+                raise
+
+            # should raise if diff detected
+            self.diff_err_fields(data)
+            raise err
+
+    def diff_err_fields(
+        self,
+        data: np.ndarray,
+    ) -> None:
+        # reraise with any field discrepancy
+        our_fields, their_fields = (
+            set(self._array.dtype.fields),
+            set(data.dtype.fields),
+        )
+
+        only_in_ours = our_fields - their_fields
+        only_in_theirs = their_fields - our_fields
+
+        if only_in_ours:
+            raise TypeError(
+                f"Input array is missing field(s): {only_in_ours}"
+            )
+        elif only_in_theirs:
+            raise TypeError(
+                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,
+    ) -> int:
+        end = self.push(data, prepend=True)
+        assert end
+
+    def close(self) -> None:
+        self._first._shm.close()
+        self._last._shm.close()
+        self._shm.close()
+
+    def destroy(self) -> None:
+        if _USE_POSIX:
+            # We manually unlink to bypass all the "resource tracker"
+            # nonsense meant for non-SC systems.
+            shm_unlink(self._shm.name)
+
+        self._first.destroy()
+        self._last.destroy()
+
+    def flush(self) -> None:
+        # TODO: flush to storage backend like markestore?
+        ...
+
+
+def open_shm_array(
+    size: int,
+    key: str | None = None,
+    dtype: np.dtype | None = None,
+    append_start_index: int | None = None,
+    readonly: bool = False,
+
+) -> ShmArray:
+    '''Open a memory shared ``numpy`` using the standard library.
+
+    This call unlinks (aka permanently destroys) the buffer on teardown
+    and thus should be used from the parent-most accessor (process).
+
+    '''
+    # create new shared mem segment for which we
+    # have write permission
+    a = np.zeros(size, dtype=dtype)
+    a['index'] = np.arange(len(a))
+
+    shm = SharedMemory(
+        name=key,
+        create=True,
+        size=a.nbytes
+    )
+    array = np.ndarray(
+        a.shape,
+        dtype=a.dtype,
+        buffer=shm.buf
+    )
+    array[:] = a[:]
+    array.setflags(write=int(not readonly))
+
+    token = _make_token(
         key=key,
         size=size,
         dtype=dtype,
     )
 
+    # create single entry arrays for storing an first and last indices
+    first = SharedInt(
+        shm=SharedMemory(
+            name=token.shm_first_index_name,
+            create=True,
+            size=4,  # std int
+        )
+    )
+
+    last = SharedInt(
+        shm=SharedMemory(
+            name=token.shm_last_index_name,
+            create=True,
+            size=4,  # std int
+        )
+    )
+
+    # start the "real-time" updated section after 3-days worth of 1s
+    # sampled OHLC. this allows appending up to a days worth from
+    # tick/quote feeds before having to flush to a (tsdb) storage
+    # backend, and looks something like,
+    # -------------------------
+    # |              |        i
+    # _________________________
+    # <-------------> <------->
+    #  history         real-time
+    #
+    # Once fully "prepended", the history section will leave the
+    # ``ShmArray._start.value: int = 0`` and the yet-to-be written
+    # real-time section will start at ``ShmArray.index: int``.
+
+    # this sets the index to nearly 2/3rds into the the length of
+    # the buffer leaving at least a "days worth of second samples"
+    # for the real-time section.
+    if append_start_index is None:
+        append_start_index = round(size * 0.616)
+
+    last.value = first.value = append_start_index
+
+    shmarr = ShmArray(
+        array,
+        first,
+        last,
+        shm,
+    )
+
+    assert shmarr._token == token
+    _known_tokens[key] = shmarr.token
+
+    # "unlink" created shm on process teardown by
+    # pushing teardown calls onto actor context stack
+    stack = tractor.current_actor().lifetime_stack
+    stack.callback(shmarr.close)
+    stack.callback(shmarr.destroy)
+
+    return shmarr
+
+
+def attach_shm_array(
+    token: tuple[str, str, tuple[str, str]],
+    readonly: bool = True,
+
+) -> ShmArray:
+    '''
+    Attach to an existing shared memory array previously
+    created by another process using ``open_shared_array``.
+
+    No new shared mem is allocated but wrapper types for read/write
+    access are constructed.
+
+    '''
+    token = _Token.from_msg(token)
+    key = token.shm_name
+
+    if key in _known_tokens:
+        assert _Token.from_msg(_known_tokens[key]) == token, "WTF"
+
+    # XXX: ugh, looks like due to the ``shm_open()`` C api we can't
+    # actually place files in a subdir, see discussion here:
+    # https://stackoverflow.com/a/11103289
+
+    # attach to array buffer and view as per dtype
+    _err: Optional[Exception] = None
+    for _ in range(3):
+        try:
+            shm = SharedMemory(
+                name=key,
+                create=False,
+            )
+            break
+        except OSError as oserr:
+            _err = oserr
+            time.sleep(0.1)
+    else:
+        if _err:
+            raise _err
+
+    shmarr = np.ndarray(
+        (token.size,),
+        dtype=token.dtype,
+        buffer=shm.buf
+    )
+    shmarr.setflags(write=int(not readonly))
+
+    first = SharedInt(
+        shm=SharedMemory(
+            name=token.shm_first_index_name,
+            create=False,
+            size=4,  # std int
+        ),
+    )
+    last = SharedInt(
+        shm=SharedMemory(
+            name=token.shm_last_index_name,
+            create=False,
+            size=4,  # std int
+        ),
+    )
+
+    # make sure we can read
+    first.value
+
+    sha = ShmArray(
+        shmarr,
+        first,
+        last,
+        shm,
+    )
+    # read test
+    sha.array
+
+    # Stash key -> token knowledge for future queries
+    # via `maybe_opepn_shm_array()` but only after we know
+    # we can attach.
+    if key not in _known_tokens:
+        _known_tokens[key] = token
+
+    # "close" attached shm on actor teardown
+    tractor.current_actor().lifetime_stack.callback(sha.close)
+
+    return sha
+
 
 def maybe_open_shm_array(
     key: str,
     size: int,
-    dtype: np.dtype|None = None,
-    append_start_index: int|None = None,
+    dtype: np.dtype | None = None,
+    append_start_index: int | None = None,
     readonly: bool = False,
     **kwargs,
+
 ) -> tuple[ShmArray, bool]:
     '''
-    Attempt to attach to a shared memory block
-    using a "key" lookup to registered blocks in
-    the user's overall "system" registry (presumes
-    you don't have the block's explicit token).
+    Attempt to attach to a shared memory block using a "key" lookup
+    to registered blocks in the users overall "system" registry
+    (presumes you don't have the block's explicit token).
 
-    This is a thin wrapper around tractor's
-    ``maybe_open_shm_ndarray()`` preserving piker's
-    historical defaults (``readonly=False``,
-    ``append_start_index=None``).
+    This function is meant to solve the problem of discovering whether
+    a shared array token has been allocated or discovered by the actor
+    running in **this** process. Systems where multiple actors may seek
+    to access a common block can use this function to attempt to acquire
+    a token as discovered by the actors who have previously stored
+    a "key" -> ``_Token`` map in an actor local (aka python global)
+    variable.
 
-    If you know the explicit ``NDToken`` for your
-    memory segment instead use
-    ``tractor.ipc._shm.attach_shm_ndarray()``.
+    If you know the explicit ``_Token`` for your memory segment instead
+    use ``attach_shm_array``.
 
     '''
     try:
         # see if we already know this key
         token = _known_tokens[key]
         return (
-            attach_shm_ndarray(
+            attach_shm_array(
                 token=token,
                 readonly=readonly,
             ),
             False,
         )
     except KeyError:
-        log.debug(
-            f'Could not find {key} in shms cache'
-        )
+        log.debug(f"Could not find {key} in shms cache")
         if dtype:
             token = _make_token(
                 key,
@@ -108,18 +657,9 @@ def maybe_open_shm_array(
                 dtype=dtype,
             )
             try:
-                return (
-                    attach_shm_ndarray(
-                        token=token,
-                        **kwargs,
-                    ),
-                    False,
-                )
+                return attach_shm_array(token=token, **kwargs), False
             except FileNotFoundError:
-                log.debug(
-                    f'Could not attach to shm'
-                    f' with token {token}'
-                )
+                log.debug(f"Could not attach to shm with token {token}")
 
         # This actor does not know about memory
         # associated with the provided "key".
@@ -127,7 +667,7 @@ def maybe_open_shm_array(
         # to fail if a block has been allocated
         # on the OS by someone else.
         return (
-            open_shm_ndarray(
+            open_shm_array(
                 key=key,
                 size=size,
                 dtype=dtype,
@@ -137,20 +677,18 @@ def maybe_open_shm_array(
             True,
         )
 
-
 def try_read(
-    array: np.ndarray,
-) -> np.ndarray|None:
-    '''
-    Try to read the last row from a shared mem
-    array or ``None`` if the array read returns
-    a zero-length array result.
+    array: np.ndarray
 
-    Can be used to check for backfilling race
-    conditions where an array is currently being
-    (re-)written by a writer actor but the reader
-    is unaware and reads during the window where
-    the first and last indexes are being updated.
+) -> Optional[np.ndarray]:
+    '''
+    Try to read the last row from a shared mem array or ``None``
+    if the array read returns a zero-length array result.
+
+    Can be used to check for backfilling race conditions where an array
+    is currently being (re-)written by a writer actor but the reader is
+    unaware and reads during the window where the first and last indexes
+    are being updated.
 
     '''
     try:
@@ -158,13 +696,14 @@ def try_read(
     except IndexError:
         # XXX: race condition with backfilling shm.
         #
-        # the underlying issue is that a backfill
-        # (aka prepend) and subsequent shm array
-        # first/last index update could result in an
-        # empty array read here since the indices may
-        # be updated in such a way that a read delivers
-        # an empty array (though it seems like we
-        # *should* be able to prevent that?).
+        # the underlying issue is that a backfill (aka prepend) and subsequent
+        # shm array first/last index update could result in an empty array
+        # read here since the indices may be updated in such a way that
+        # a read delivers an empty array (though it seems like we
+        # *should* be able to prevent that?). also, as and alt and
+        # something we need anyway, maybe there should be some kind of
+        # signal that a prepend is taking place and this consumer can
+        # respond (eg. redrawing graphics) accordingly.
 
-        # the array read was empty
+        # the array read was emtpy
         return None

piker/data/_symcache.py

@@ -31,7 +31,6 @@ from pathlib import Path
 from pprint import pformat
 from typing import (
     Any,
-    Callable,
     Sequence,
     Hashable,
     TYPE_CHECKING,
@@ -57,7 +56,7 @@ from piker.brokers import (
 )
 
 if TYPE_CHECKING:
-    from piker.accounting import (
+    from ..accounting import (
         Asset,
         MktPair,
     )
@@ -91,18 +90,6 @@ class SymbologyCache(Struct):
     # provided by the backend pkg.
     mktmaps: dict[str, MktPair] = field(default_factory=dict)
 
-    def pformat(self) -> str:
-        return (
-            f'<{type(self).__name__}(\n'
-            f' .mod: {self.mod!r}\n'
-            f' .assets: {len(self.assets)!r}\n'
-            f' .pairs: {len(self.pairs)!r}\n'
-            f' .mktmaps: {len(self.mktmaps)!r}\n'
-            f')>'
-        )
-
-    __repr__ = pformat
-
     def write_config(self) -> None:
 
         # put the backend's pair-struct type ref at the top
@@ -162,68 +149,57 @@ class SymbologyCache(Struct):
                     'Implement `Client.get_assets()`!'
                 )
 
-            get_mkt_pairs: Callable|None = getattr(
-                client,
-                'get_mkt_pairs',
-                None,
-            )
-            if not get_mkt_pairs:
+            if get_mkt_pairs := getattr(client, 'get_mkt_pairs', None):
+
+                pairs: dict[str, Struct] = await get_mkt_pairs()
+                for bs_fqme, pair in pairs.items():
+
+                    # NOTE: every backend defined pair should
+                    # declare it's ns path for roundtrip
+                    # serialization lookup.
+                    if not getattr(pair, 'ns_path', None):
+                        raise TypeError(
+                            f'Pair-struct for {self.mod.name} MUST define a '
+                            '`.ns_path: str`!\n'
+                            f'{pair}'
+                        )
+
+                    entry = await self.mod.get_mkt_info(pair.bs_fqme)
+                    if not entry:
+                        continue
+
+                    mkt: MktPair
+                    pair: Struct
+                    mkt, _pair = entry
+                    assert _pair is pair, (
+                        f'`{self.mod.name}` backend probably has a '
+                        'keying-symmetry problem between the pair-`Struct` '
+                        'returned from `Client.get_mkt_pairs()`and the '
+                        'module level endpoint: `.get_mkt_info()`\n\n'
+                        "Here's the struct diff:\n"
+                        f'{_pair - pair}'
+                    )
+                    # NOTE XXX: this means backends MUST implement
+                    # a `Struct.bs_mktid: str` field to provide
+                    # a native-keyed map to their own symbol
+                    # set(s).
+                    self.pairs[pair.bs_mktid] = pair
+
+                    # NOTE: `MktPair`s are keyed here using piker's
+                    # internal FQME schema so that search,
+                    # accounting and feed init can be accomplished
+                    # a sane, uniform, normalized basis.
+                    self.mktmaps[mkt.fqme] = mkt
+
+                self.pair_ns_path: str = tractor.msg.NamespacePath.from_ref(
+                    pair,
+                )
+
+            else:
                 log.warning(
                     'No symbology cache `Pair` support for `{provider}`..\n'
                     'Implement `Client.get_mkt_pairs()`!'
                 )
-                return self
-
-            pairs: dict[str, Struct] = await get_mkt_pairs()
-            if not pairs:
-                log.warning(
-                    'No pairs from intial {provider!r} sym-cache request?\n\n'
-                    '`Client.get_mkt_pairs()` -> {pairs!r} ?'
-                )
-                return self
-
-            for bs_fqme, pair in pairs.items():
-                if not getattr(pair, 'ns_path', None):
-                    # XXX: every backend defined pair must declare
-                    # a `.ns_path: tractor.NamespacePath` to enable
-                    # roundtrip serialization lookup from a local
-                    # cache file.
-                    raise TypeError(
-                        f'Pair-struct for {self.mod.name} MUST define a '
-                        '`.ns_path: str`!\n\n'
-                        f'{pair!r}'
-                    )
-
-                entry = await self.mod.get_mkt_info(pair.bs_fqme)
-                if not entry:
-                    continue
-
-                mkt: MktPair
-                pair: Struct
-                mkt, _pair = entry
-                assert _pair is pair, (
-                    f'`{self.mod.name}` backend probably has a '
-                    'keying-symmetry problem between the pair-`Struct` '
-                    'returned from `Client.get_mkt_pairs()`and the '
-                    'module level endpoint: `.get_mkt_info()`\n\n'
-                    "Here's the struct diff:\n"
-                    f'{_pair - pair}'
-                )
-                # NOTE XXX: this means backends MUST implement
-                # a `Struct.bs_mktid: str` field to provide
-                # a native-keyed map to their own symbol
-                # set(s).
-                self.pairs[pair.bs_mktid] = pair
-
-                # NOTE: `MktPair`s are keyed here using piker's
-                # internal FQME schema so that search,
-                # accounting and feed init can be accomplished
-                # a sane, uniform, normalized basis.
-                self.mktmaps[mkt.fqme] = mkt
-
-            self.pair_ns_path: str = tractor.msg.NamespacePath.from_ref(
-                pair,
-            )
 
         return self
 

piker/data/_util.py

@@ -26,9 +26,7 @@ from ..log import (
 )
 subsys: str = 'piker.data'
 
-log = get_logger(
-    name=subsys,
-)
+log = get_logger(subsys)
 
 get_console_log = partial(
     get_console_log,

piker/data/_web_bs.py

@@ -31,7 +31,6 @@ from typing import (
     AsyncContextManager,
     AsyncGenerator,
     Iterable,
-    Type,
 )
 import json
 
@@ -68,7 +67,7 @@ class NoBsWs:
 
     '''
     # apparently we can QoS for all sorts of reasons..so catch em.
-    recon_errors: tuple[Type[Exception]] = (
+    recon_errors = (
         ConnectionClosed,
         DisconnectionTimeout,
         ConnectionRejected,
@@ -106,10 +105,7 @@ class NoBsWs:
     def connected(self) -> bool:
         return self._connected.is_set()
 
-    async def reset(
-        self,
-        timeout: float,
-    ) -> bool:
+    async def reset(self) -> None:
         '''
         Reset the underlying ws connection by cancelling
         the bg relay task and waiting for it to signal
@@ -118,31 +114,18 @@ class NoBsWs:
         '''
         self._connected = trio.Event()
         self._cs.cancel()
-        with trio.move_on_after(timeout) as cs:
-            await self._connected.wait()
-            return True
-
-        assert cs.cancelled_caught
-        return False
+        await self._connected.wait()
 
     async def send_msg(
         self,
         data: Any,
-        timeout: float = 3,
     ) -> None:
         while True:
             try:
                 msg: Any = self._dumps(data)
                 return await self._ws.send_message(msg)
             except self.recon_errors:
-                with trio.CancelScope(shield=True):
-                    reconnected: bool = await self.reset(
-                        timeout=timeout,
-                    )
-                    if not reconnected:
-                        log.warning(
-                            'Failed to reconnect after {timeout!r}s ??'
-                        )
+                await self.reset()
 
     async def recv_msg(self) -> Any:
         msg: Any = await self._rx.receive()
@@ -208,9 +191,7 @@ async def _reconnect_forever(
                         f'{src_mod}\n'
                         f'{url} connection bail with:'
                     )
-                    with trio.CancelScope(shield=True):
-                        await trio.sleep(0.5)
-
+                    await trio.sleep(0.5)
                     rent_cs.cancel()
 
                     # go back to reonnect loop in parent task
@@ -310,8 +291,7 @@ async def _reconnect_forever(
             log.exception(
                 'Reconnect-attempt failed ??\n'
             )
-            with trio.CancelScope(shield=True):
-                await trio.sleep(0.2)  # throttle
+            await trio.sleep(0.2)  # throttle
             raise berr
 
         #|_ws & nursery block ends
@@ -371,39 +351,32 @@ async def open_autorecon_ws(
     rcv: trio.MemoryReceiveChannel
     snd, rcv = trio.open_memory_channel(616)
 
-    try:
-        async with (
-            tractor.trionics.collapse_eg(),
-            trio.open_nursery() as tn
-        ):
-            nobsws = NoBsWs(
-                url,
-                rcv,
-                msg_recv_timeout=msg_recv_timeout,
-            )
-            await tn.start(
-                partial(
-                    _reconnect_forever,
-                    url,
-                    snd,
-                    nobsws,
-                    fixture=fixture,
-                    reset_after=reset_after,
-                )
-            )
-            await nobsws._connected.wait()
-            assert nobsws._cs
-            assert nobsws.connected()
-            try:
-                yield nobsws
-            finally:
-                tn.cancel_scope.cancel()
-
-    except NoBsWs.recon_errors as con_err:
-        log.warning(
-            f'Entire ws-channel disconnect due to,\n'
-            f'con_err: {con_err!r}\n'
+    async with (
+        tractor.trionics.collapse_eg(),
+        trio.open_nursery() as tn
+    ):
+        nobsws = NoBsWs(
+            url,
+            rcv,
+            msg_recv_timeout=msg_recv_timeout,
         )
+        await tn.start(
+            partial(
+                _reconnect_forever,
+                url,
+                snd,
+                nobsws,
+                fixture=fixture,
+                reset_after=reset_after,
+            )
+        )
+        await nobsws._connected.wait()
+        assert nobsws._cs
+        assert nobsws.connected()
+        try:
+            yield nobsws
+        finally:
+            tn.cancel_scope.cancel()
 
 
 '''

piker/data/feed.py

@@ -62,6 +62,7 @@ from ._util import (
     log,
     get_console_log,
 )
+from .flows import Flume
 from .validate import (
     FeedInit,
     validate_backend,
@@ -76,7 +77,6 @@ from ._sampling import (
 )
 
 if TYPE_CHECKING:
-    from .flows import Flume
     from tractor._addr import Address
     from tractor.msg.types import Aid
 
@@ -239,6 +239,7 @@ async def allocate_persistent_feed(
 
     brokername: str,
     symstr: str,
+
     loglevel: str,
     start_stream: bool = True,
     init_timeout: float = 616,
@@ -277,7 +278,7 @@ async def allocate_persistent_feed(
     # ``stream_quotes()``, a required broker backend endpoint.
     init_msgs: (
         list[FeedInit]  # new
-        |dict[str, dict[str, str]]  # legacy / deprecated
+        | dict[str, dict[str, str]]  # legacy / deprecated
     )
 
     # TODO: probably make a struct msg type for this as well
@@ -347,25 +348,18 @@ async def allocate_persistent_feed(
         izero_rt,
         rt_shm,
     ) = await bus.nursery.start(
-        partial(
-            manage_history,
-            mod=mod,
-            mkt=mkt,
-            some_data_ready=some_data_ready,
-            feed_is_live=feed_is_live,
-            loglevel=loglevel,
-        )
+        manage_history,
+        mod,
+        mkt,
+        some_data_ready,
+        feed_is_live,
     )
 
     # yield back control to starting nursery once we receive either
     # some history or a real-time quote.
-    log.info(
-        f'loading OHLCV history: {fqme!r}\n'
-    )
+    log.info(f'loading OHLCV history: {fqme}')
     await some_data_ready.wait()
 
-    # XXX, avoid cycle; it imports this mod.
-    from .flows import Flume
     flume = Flume(
 
         # TODO: we have to use this for now since currently the
@@ -462,6 +456,7 @@ async def allocate_persistent_feed(
 
 @tractor.context
 async def open_feed_bus(
+
     ctx: tractor.Context,
     brokername: str,
     symbols: list[str],  # normally expected to the broker-specific fqme
@@ -482,16 +477,13 @@ async def open_feed_bus(
 
     '''
     if loglevel is None:
-        loglevel: str = tractor.current_actor().loglevel
+        loglevel = tractor.current_actor().loglevel
 
     # XXX: required to propagate ``tractor`` loglevel to piker
     # logging
     get_console_log(
-        level=(loglevel
-            or
-            tractor.current_actor().loglevel
-        ),
-        name=__name__,
+        loglevel
+        or tractor.current_actor().loglevel
     )
 
     # local state sanity checks
@@ -506,6 +498,7 @@ async def open_feed_bus(
     sub_registered = trio.Event()
 
     flumes: dict[str, Flume] = {}
+
     for symbol in symbols:
 
         # if no cached feed for this symbol has been created for this
@@ -689,7 +682,6 @@ class Feed(Struct):
     '''
     mods: dict[str, ModuleType] = {}
     portals: dict[ModuleType, tractor.Portal] = {}
-
     flumes: dict[
         str,  # FQME
         Flume,
@@ -802,8 +794,9 @@ async def install_brokerd_search(
 
 @acm
 async def maybe_open_feed(
+
     fqmes: list[str],
-    loglevel: str|None = None,
+    loglevel: str | None = None,
 
     **kwargs,
 
@@ -855,12 +848,13 @@ async def maybe_open_feed(
 
 @acm
 async def open_feed(
+
     fqmes: list[str],
 
-    loglevel: str|None = None,
+    loglevel: str | None = None,
     allow_overruns: bool = True,
     start_stream: bool = True,
-    tick_throttle: float|None = None,  # Hz
+    tick_throttle: float | None = None,  # Hz
 
     allow_remote_ctl_ui: bool = False,
 
@@ -887,6 +881,7 @@ async def open_feed(
 
     # one actor per brokerd for now
     brokerd_ctxs = []
+
     for brokermod, bfqmes in providers.items():
 
         # if no `brokerd` for this backend exists yet we spawn
@@ -956,8 +951,6 @@ async def open_feed(
 
         assert len(feed.mods) == len(feed.portals)
 
-        # XXX, avoid cycle; it imports this mod.
-        from .flows import Flume
         async with (
             trionics.gather_contexts(bus_ctxs) as ctxs,
         ):

piker/data/flows.py

@@ -31,15 +31,15 @@ import pendulum
 import numpy as np
 
 from piker.types import Struct
-from tractor.ipc._shm import (
+from ._sharedmem import (
+    attach_shm_array,
     ShmArray,
-    NDToken,
-    attach_shm_ndarray,
+    _Token,
 )
-from piker.accounting import MktPair
 
 if TYPE_CHECKING:
-    from piker.data.feed import Feed
+    from ..accounting import MktPair
+    from .feed import Feed
 
 
 class Flume(Struct):
@@ -64,11 +64,11 @@ class Flume(Struct):
     '''
     mkt: MktPair
     first_quote: dict
-    _rt_shm_token: NDToken
+    _rt_shm_token: _Token
 
     # optional since some data flows won't have a "downsampled" history
     # buffer/stream (eg. FSPs).
-    _hist_shm_token: NDToken|None = None
+    _hist_shm_token: _Token | None = None
 
     # private shm refs loaded dynamically from tokens
     _hist_shm: ShmArray | None = None
@@ -82,13 +82,13 @@ class Flume(Struct):
 
     # TODO: do we need this really if we can pull the `Portal` from
     # ``tractor``'s internals?
-    feed: Feed|None = None
+    feed: Feed | None = None
 
     @property
     def rt_shm(self) -> ShmArray:
 
         if self._rt_shm is None:
-            self._rt_shm = attach_shm_ndarray(
+            self._rt_shm = attach_shm_array(
                 token=self._rt_shm_token,
                 readonly=self._readonly,
             )
@@ -104,7 +104,7 @@ class Flume(Struct):
             )
 
         if self._hist_shm is None:
-            self._hist_shm = attach_shm_ndarray(
+            self._hist_shm = attach_shm_array(
                 token=self._hist_shm_token,
                 readonly=self._readonly,
             )

piker/data/validate.py

@@ -113,9 +113,9 @@ def validate_backend(
             )
             if ep is None:
                 log.warning(
-                    f'Provider backend {mod.name!r} is missing '
-                    f'{daemon_name!r} support?\n'
-                    f'|_module endpoint-func missing: {name!r}\n'
+                    f'Provider backend {mod.name} is missing '
+                    f'{daemon_name} support :(\n'
+                    f'The following endpoint is missing: {name}'
                 )
 
     inits: list[

piker/fsp/_api.py

@@ -37,12 +37,12 @@ import numpy as np
 import tractor
 from tractor.msg import NamespacePath
 
-from tractor.ipc._shm import (
+from ..data._sharedmem import (
     ShmArray,
-    NDToken,
-    attach_shm_ndarray,
+    maybe_open_shm_array,
+    attach_shm_array,
+    _Token,
 )
-from ..data._sharedmem import maybe_open_shm_array
 from ..log import get_logger
 
 log = get_logger(__name__)
@@ -78,8 +78,8 @@ class Fsp:
     # + the consuming fsp *to* the consumers output
     # shm flow.
     _flow_registry: dict[
-        tuple[NDToken, str],
-        tuple[NDToken, Optional[ShmArray]],
+        tuple[_Token, str],
+        tuple[_Token, Optional[ShmArray]],
     ] = {}
 
     def __init__(
@@ -148,7 +148,7 @@ class Fsp:
                 # times as possible as per:
                 # - https://github.com/pikers/piker/issues/359
                 # - https://github.com/pikers/piker/issues/332
-                maybe_array := attach_shm_ndarray(dst_token)
+                maybe_array := attach_shm_array(dst_token)
             )
 
         return maybe_array
@@ -200,13 +200,9 @@ def maybe_mk_fsp_shm(
     )
 
     # (attempt to) uniquely key the fsp shm buffers
-    # Use hash for macOS compatibility (31 char limit)
-    import hashlib
     actor_name, uuid = tractor.current_actor().uid
-    # Create short hash of sym and target name
-    content = f'{sym}.{target.name}'
-    content_hash = hashlib.md5(content.encode()).hexdigest()[:8]
-    key: str = f'{uuid[:8]}_{content_hash}.fsp'
+    uuid_snip: str = uuid[:16]
+    key: str = f'piker.{actor_name}[{uuid_snip}].{sym}.{target.name}'
 
     shm, opened = maybe_open_shm_array(
         key,

piker/fsp/_engine.py

@@ -24,7 +24,6 @@ from functools import partial
 from typing import (
     AsyncIterator,
     Callable,
-    TYPE_CHECKING,
 )
 
 import numpy as np
@@ -34,13 +33,13 @@ import tractor
 from tractor.msg import NamespacePath
 
 from piker.types import Struct
-from ..log import (
-    get_logger,
-    get_console_log,
-)
+from ..log import get_logger, get_console_log
 from .. import data
-from ..data.flows import Flume
-from tractor.ipc._shm import ShmArray
+from ..data.feed import (
+    Flume,
+    Feed,
+)
+from ..data._sharedmem import ShmArray
 from ..data._sampling import (
     _default_delay_s,
     open_sample_stream,
@@ -49,13 +48,10 @@ from ..accounting import MktPair
 from ._api import (
     Fsp,
     _load_builtins,
-    NDToken,
+    _Token,
 )
 from ..toolz import Profiler
 
-if TYPE_CHECKING:
-    from ..data.feed import Feed
-
 log = get_logger(__name__)
 
 
@@ -173,10 +169,8 @@ class Cascade(Struct):
         if not synced:
             fsp: Fsp = self.fsp
             log.warning(
-                f'***DESYNCED fsp***\n'
-                f'------------------\n'
-                f'ns-path: {fsp.ns_path!r}\n'
-                f'shm-token: {src_shm.token}\n'
+                '***DESYNCED FSP***\n'
+                f'{fsp.ns_path}@{src_shm.token}\n'
                 f'step_diff: {step_diff}\n'
                 f'len_diff: {len_diff}\n'
             )
@@ -404,6 +398,7 @@ async def connect_streams(
 
 @tractor.context
 async def cascade(
+
     ctx: tractor.Context,
 
     # data feed key
@@ -414,10 +409,10 @@ async def cascade(
     dst_flume_addr: dict,
     ns_path: NamespacePath,
 
-    shm_registry: dict[str, NDToken],
+    shm_registry: dict[str, _Token],
 
     zero_on_step: bool = False,
-    loglevel: str|None = None,
+    loglevel: str | None = None,
 
 ) -> None:
     '''
@@ -431,17 +426,7 @@ async def cascade(
     )
 
     if loglevel:
-        log = get_console_log(
-            loglevel,
-            name=__name__,
-        )
-        # XXX TODO!
-        # figure out why this writes a dict to,
-        # `tractor._state._runtime_vars['_root_mailbox']`
-        # XD .. wtf
-        # TODO, solve this as reported in,
-        # https://www.pikers.dev/pikers/piker/issues/70
-        # await tractor.pause()
+        get_console_log(loglevel)
 
     src: Flume = Flume.from_msg(src_flume_addr)
     dst: Flume = Flume.from_msg(
@@ -465,9 +450,9 @@ async def cascade(
     # not sure how else to do it.
     for (token, fsp_name, dst_token) in shm_registry:
         Fsp._flow_registry[(
-            NDToken.from_msg(token),
+            _Token.from_msg(token),
             fsp_name,
-        )] = NDToken.from_msg(dst_token), None
+        )] = _Token.from_msg(dst_token), None
 
     fsp: Fsp = reg.get(
         NamespacePath(ns_path)
@@ -484,8 +469,7 @@ async def cascade(
     # open a data feed stream with requested broker
     feed: Feed
     async with data.feed.maybe_open_feed(
-        fqmes=[fqme],
-        loglevel=loglevel,
+        [fqme],
 
         # TODO throttle tick outputs from *this* daemon since
         # it'll emit tons of ticks due to the throttle only
@@ -583,8 +567,7 @@ async def cascade(
                     # on every step msg received from the global `samplerd`
                     # service.
                     async with open_sample_stream(
-                        period_s=float(delay_s),
-                        loglevel=loglevel,
+                        float(delay_s)
                     ) as istream:
 
                         profiler(f'{func_name}: sample stream up')

piker/fsp/_momo.py

@@ -25,7 +25,7 @@ from numba import jit, float64, optional, int64
 
 from ._api import fsp
 from ..data import iterticks
-from tractor.ipc._shm import ShmArray
+from ..data._sharedmem import ShmArray
 
 
 @jit(

piker/fsp/_volume.py

@@ -21,7 +21,7 @@ from tractor.trionics._broadcast import AsyncReceiver
 
 from ._api import fsp
 from ..data import iterticks
-from tractor.ipc._shm import ShmArray
+from ..data._sharedmem import ShmArray
 from ._momo import _wma
 from ..log import get_logger
 

piker/log.py

@@ -18,8 +18,8 @@
 Log like a forester!
 """
 import logging
-import json
 import reprlib
+import json
 from typing import (
     Callable,
 )
@@ -37,84 +37,35 @@ _proj_name: str = 'piker'
 
 
 def get_logger(
-    name: str|None = None,
-    **tractor_log_kwargs,
+    name: str = None,
+
 ) -> logging.Logger:
     '''
-    Return the package log or a sub-logger if a `name=` is provided,
-    which defaults to the calling module's pkg-namespace path.
-
-    See `tractor.log.get_logger()` for details.
+    Return the package log or a sub-log for `name` if provided.
 
     '''
-    pkg_name: str = _proj_name
-    if (
-        name
-        and
-        pkg_name in name
-    ):
-        name: str = name.lstrip(f'{_proj_name}.')
-
     return tractor.log.get_logger(
         name=name,
-        pkg_name=pkg_name,
-        **tractor_log_kwargs,
+        _root_name=_proj_name,
     )
 
 
 def get_console_log(
-    level: str|None = None,
-    name: str|None = None,
-    pkg_name: str|None = None,
-    with_tractor_log: bool = False,
-    # ?TODO, support a "log-spec" style `str|dict[str, str]` which
-    # dictates both the sublogger-key and a level?
-    # -> see similar idea in `modden`'s usage.
-    **tractor_log_kwargs,
+    level: str | None = None,
+    name: str | None = None,
 
 ) -> logging.Logger:
     '''
-    Get the package logger and enable a handler which writes to
-    stderr.
+    Get the package logger and enable a handler which writes to stderr.
 
-    Yeah yeah, i know we can use `DictConfig`.
-    You do it.. Bp
+    Yeah yeah, i know we can use ``DictConfig``. You do it...
 
     '''
-    pkg_name: str = _proj_name
-    if (
-        name
-        and
-        pkg_name in name
-    ):
-        name: str = name.lstrip(f'{_proj_name}.')
-
-    tll: str|None = None
-    if (
-        with_tractor_log is not False
-    ):
-        tll = level
-
-    elif maybe_actor := tractor.current_actor(
-        err_on_no_runtime=False,
-    ):
-        tll = maybe_actor.loglevel
-
-    if tll:
-        t_log = tractor.log.get_console_log(
-            level=tll,
-            name='tractor',  # <- XXX, force root tractor log!
-            **tractor_log_kwargs,
-        )
-        # TODO/ allow only enabling certain tractor sub-logs?
-        assert t_log.name == 'tractor'
-
     return tractor.log.get_console_log(
-        level=level,
+        level,
         name=name,
-        pkg_name=pkg_name,
-        **tractor_log_kwargs,
-    )
+        _root_name=_proj_name,
+    )  # our root logger
 
 
 def colorize_json(
@@ -139,8 +90,6 @@ def colorize_json(
     )
 
 
-# TODO, eventually defer to the version in `modden` once
-# it becomes a dep!
 def mk_repr(
     **repr_kws,
 ) -> Callable[[str], str]:

piker/service/_actor_runtime.py

@@ -21,6 +21,7 @@
 from __future__ import annotations
 import os
 from typing import (
+    Optional,
     Any,
     ClassVar,
 )
@@ -31,11 +32,8 @@ from contextlib import (
 import tractor
 import trio
 
-from piker.log import (
-    get_console_log,
-)
 from ._util import (
-    subsys,
+    get_console_log,
 )
 from ._mngr import (
     Services,
@@ -61,7 +59,7 @@ async def open_piker_runtime(
     registry_addrs: list[tuple[str, int]] = [],
 
     enable_modules: list[str] = [],
-    loglevel: str|None = None,
+    loglevel: Optional[str] = None,
 
     # XXX NOTE XXX: you should pretty much never want debug mode
     # for data daemons when running in production.
@@ -71,7 +69,7 @@ async def open_piker_runtime(
     # and spawn the service tree distributed per that.
     start_method: str = 'trio',
 
-    tractor_runtime_overrides: dict|None = None,
+    tractor_runtime_overrides: dict | None = None,
     **tractor_kwargs,
 
 ) -> tuple[
@@ -99,8 +97,7 @@ async def open_piker_runtime(
         # setting it as the root actor on localhost.
         registry_addrs = (
             registry_addrs
-            or
-            [_default_reg_addr]
+            or [_default_reg_addr]
         )
 
         if ems := tractor_kwargs.pop('enable_modules', None):
@@ -166,7 +163,8 @@ _root_modules: list[str] = [
 @acm
 async def open_pikerd(
     registry_addrs: list[tuple[str, int]],
-    loglevel: str|None = None,
+
+    loglevel: str | None = None,
 
     # XXX: you should pretty much never want debug mode
     # for data daemons when running in production.
@@ -194,6 +192,7 @@ async def open_pikerd(
 
     async with (
         open_piker_runtime(
+
             name=_root_dname,
             loglevel=loglevel,
             debug_mode=debug_mode,
@@ -274,10 +273,7 @@ async def maybe_open_pikerd(
 
     '''
     if loglevel:
-        get_console_log(
-            name=subsys,
-            level=loglevel
-        )
+        get_console_log(loglevel)
 
     # subtle, we must have the runtime up here or portal lookup will fail
     query_name = kwargs.pop(

piker/service/_ahab.py

@@ -49,15 +49,13 @@ from requests.exceptions import (
     ReadTimeout,
 )
 
-from piker.log import (
-    get_console_log,
-    get_logger,
-)
 from ._mngr import Services
+from ._util import (
+    log,  # sub-sys logger
+    get_console_log,
+)
 from .. import config
 
-log = get_logger(name=__name__)
-
 
 class DockerNotStarted(Exception):
     'Prolly you dint start da daemon bruh'
@@ -338,16 +336,13 @@ class Container:
 async def open_ahabd(
     ctx: tractor.Context,
     endpoint: str,  # ns-pointer str-msg-type
-    loglevel: str = 'cancel',
+    loglevel: str | None = None,
 
     **ep_kwargs,
 
 ) -> None:
 
-    log = get_console_log(
-        level=loglevel,
-        name='piker.service',
-    )
+    log = get_console_log(loglevel or 'cancel')
 
     async with open_docker() as client:
 

piker/service/_daemon.py

@@ -30,9 +30,8 @@ from contextlib import (
 import tractor
 from trio.lowlevel import current_task
 
-from piker.log import (
-    get_console_log,
-    get_logger,
+from ._util import (
+    log,  # sub-sys logger
 )
 from ._mngr import (
     Services,
@@ -40,17 +39,16 @@ from ._mngr import (
 from ._actor_runtime import maybe_open_pikerd
 from ._registry import find_service
 
-log = get_logger(name=__name__)
-
 
 @acm
 async def maybe_spawn_daemon(
+
     service_name: str,
     service_task_target: Callable,
 
     spawn_args: dict[str, Any],
 
-    loglevel: str|None = None,
+    loglevel: str | None = None,
     singleton: bool = False,
 
     **pikerd_kwargs,
@@ -68,12 +66,6 @@ async def maybe_spawn_daemon(
     clients.
 
     '''
-    log = get_console_log(
-        level=loglevel,
-        name=__name__,
-    )
-    assert log.name == 'piker.service'
-
     # serialize access to this section to avoid
     # 2 or more tasks racing to create a daemon
     lock = Services.locks[service_name]
@@ -160,7 +152,8 @@ async def maybe_spawn_daemon(
 
 
 async def spawn_emsd(
-    loglevel: str|None = None,
+
+    loglevel: str | None = None,
     **extra_tractor_kwargs
 
 ) -> bool:
@@ -197,8 +190,9 @@ async def spawn_emsd(
 
 @acm
 async def maybe_open_emsd(
+
     brokername: str,
-    loglevel: str|None = None,
+    loglevel: str | None = None,
 
     **pikerd_kwargs,
 

piker/service/_mngr.py

@@ -34,9 +34,9 @@ from tractor import (
     Portal,
 )
 
-from piker.log import get_logger
-
-log = get_logger(name=__name__)
+from ._util import (
+    log,  # sub-sys logger
+)
 
 
 # TODO: we need remote wrapping and a general soln:

piker/service/_registry.py

@@ -27,29 +27,15 @@ from typing import (
 )
 
 import tractor
-from tractor import (
-    msg,
-    Actor,
-    Portal,
+from tractor import Portal
+
+from ._util import (
+    log,  # sub-sys logger
 )
 
-from piker.log import get_logger
-
-log = get_logger(name=__name__)
-
-# TODO? default path-space for UDS registry?
-# [ ] needs to be Xplatform tho!
-# _default_registry_path: Path = (
-#     Path(os.environ['XDG_RUNTIME_DIR'])
-#     /'piker'
-# )
-
 _default_registry_host: str = '127.0.0.1'
 _default_registry_port: int = 6116
-_default_reg_addr: tuple[
-    str,
-    int, # |str TODO, once we support UDS, see above.
-] = (
+_default_reg_addr: tuple[str, int] = (
     _default_registry_host,
     _default_registry_port,
 )
@@ -89,22 +75,16 @@ async def open_registry(
 
     '''
     global _tractor_kwargs
-    actor: Actor = tractor.current_actor()
-    aid: msg.Aid = actor.aid
-    uid: tuple[str, str] = aid.uid
-    preset_reg_addrs: list[
-        tuple[str, int]
-    ] = Registry.addrs
+    actor = tractor.current_actor()
+    uid = actor.uid
+    preset_reg_addrs: list[tuple[str, int]] = Registry.addrs
     if (
         preset_reg_addrs
-        and
-        addrs
+        and addrs
     ):
         if preset_reg_addrs != addrs:
             # if any(addr in preset_reg_addrs for addr in addrs):
-            diff: set[
-                tuple[str, int]
-            ] = set(preset_reg_addrs) - set(addrs)
+            diff: set[tuple[str, int]] = set(preset_reg_addrs) - set(addrs)
             if diff:
                 log.warning(
                     f'`{uid}` requested only subset of registrars: {addrs}\n'
@@ -118,6 +98,7 @@ async def open_registry(
                 )
 
     was_set: bool = False
+
     if (
         not tractor.is_root_process()
         and
@@ -134,23 +115,16 @@ async def open_registry(
             f"`{uid}` registry should already exist but doesn't?"
         )
 
-    if not Registry.addrs:
+    if (
+        not Registry.addrs
+    ):
         was_set = True
-        Registry.addrs = (
-            addrs
-            or
-            [_default_reg_addr]
-        )
+        Registry.addrs = addrs or [_default_reg_addr]
 
     # NOTE: only spot this seems currently used is inside
     # `.ui._exec` which is the (eventual qtloops) bootstrapping
     # with guest mode.
-    reg_addrs: list[tuple[str, str|int]] = Registry.addrs
-    # !TODO, a struct-API to stringently allow this only in special
-    # cases?
-    # -> better would be to have some way to (atomically) rewrite
-    #    and entire `RuntimeVars`?? ideas welcome obvi..
-    _tractor_kwargs['registry_addrs'] = reg_addrs
+    _tractor_kwargs['registry_addrs'] = Registry.addrs
 
     try:
         yield Registry.addrs
@@ -175,7 +149,7 @@ async def find_service(
     | None
 ):
     # try:
-    reg_addrs: list[tuple[str, int|str]]
+    reg_addrs: list[tuple[str, int]]
     async with open_registry(
         addrs=(
             registry_addrs
@@ -198,13 +172,15 @@ async def find_service(
             only_first=first_only,  # if set only returns single ref
         ) as maybe_portals:
             if not maybe_portals:
-                log.info(
+                # log.info(
+                print(
                     f'Could NOT find service {service_name!r} -> {maybe_portals!r}'
                 )
                 yield None
                 return
 
-            log.info(
+            # log.info(
+            print(
                 f'Found service {service_name!r} -> {maybe_portals}'
             )
             yield maybe_portals
@@ -219,7 +195,8 @@ async def find_service(
 
 async def check_for_service(
     service_name: str,
-) -> None|tuple[str, int]:
+
+) -> None | tuple[str, int]:
     '''
     Service daemon "liveness" predicate.
 

piker/service/_util.py

@@ -14,12 +14,20 @@
 # 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/>.
 """
-Sub-sys module commons (if any ?? Bp).
+Sub-sys module commons.
 
 """
+from functools import partial
+
+from ..log import (
+    get_logger,
+    get_console_log,
+)
 subsys: str = 'piker.service'
 
-# ?TODO, if we were going to keep a `get_console_log()` in here to be
-# invoked at `import`-time, how do we dynamically hand in the
-# `level=` value? seems too early in the runtime to be injected
-# right?
+log = get_logger(subsys)
+
+get_console_log = partial(
+    get_console_log,
+    name=subsys,
+)

piker/service/elastic.py

@@ -16,7 +16,6 @@
 
 from __future__ import annotations
 from contextlib import asynccontextmanager as acm
-from pprint import pformat
 from typing import (
     Any,
     TYPE_CHECKING,
@@ -27,17 +26,12 @@ import asks
 if TYPE_CHECKING:
     import docker
     from ._ahab import DockerContainer
-    from . import (
-        Services,
-    )
 
-from piker.log import (
+from ._util import log  # sub-sys logger
+from ._util import (
     get_console_log,
-    get_logger,
 )
 
-log = get_logger(name=__name__)
-
 
 # container level config
 _config = {
@@ -73,10 +67,7 @@ def start_elasticsearch(
             elastic
 
     '''
-    get_console_log(
-        level='info',
-        name=__name__,
-    )
+    get_console_log('info', name=__name__)
 
     dcntr: DockerContainer = client.containers.run(
         'piker:elastic',

piker/service/marketstore.py

@@ -52,18 +52,17 @@ import pendulum
 # TODO: import this for specific error set expected by mkts client
 # import purerpc
 
-from piker.data.feed import maybe_open_feed
+from ..data.feed import maybe_open_feed
 from . import Services
-from piker.log import (
+from ._util import (
+    log,  # sub-sys logger
     get_console_log,
-    get_logger,
 )
 
 if TYPE_CHECKING:
     import docker
     from ._ahab import DockerContainer
 
-log = get_logger(name=__name__)
 
 
 # ahabd-supervisor and container level config

piker/storage/__init__.py

@@ -43,6 +43,7 @@ from typing import (
 
 import numpy as np
 
+
 from .. import config
 from ..service import (
     check_for_service,
@@ -137,6 +138,16 @@ class StorageClient(
     ) -> None:
         ...
 
+    async def write_oi(
+        self,
+        fqme: str,
+        oi: np.ndarray,
+        append_and_duplicate: bool = True,
+        limit: int = int(800e3),
+
+    ) -> None:
+        ...
+
 
 class TimeseriesNotFound(Exception):
     '''
@@ -151,10 +162,7 @@ class StorageConnectionError(ConnectionError):
 
     '''
 
-def get_storagemod(
-    name: str,
-
-) -> ModuleType:
+def get_storagemod(name: str) -> ModuleType:
     mod: ModuleType = import_module(
         '.' + name,
         'piker.storage',
@@ -167,12 +175,9 @@ def get_storagemod(
 
 @acm
 async def open_storage_client(
-    backend: str|None = None,
+    backend: str | None = None,
 
-) -> tuple[
-    ModuleType,
-    StorageClient,
-]:
+) -> tuple[ModuleType, StorageClient]:
     '''
     Load the ``StorageClient`` for named backend.
 
@@ -272,10 +277,7 @@ async def open_tsdb_client(
     from ..data.feed import maybe_open_feed
 
     async with (
-        open_storage_client() as (
-            _,
-            storage,
-        ),
+        open_storage_client() as (_, storage),
 
         maybe_open_feed(
             [fqme],
@@ -283,7 +285,7 @@ async def open_tsdb_client(
 
         ) as feed,
     ):
-        profiler(f'opened feed for {fqme!r}')
+        profiler(f'opened feed for {fqme}')
 
         # to_append = feed.hist_shm.array
         # to_prepend = None

piker/storage/cli.py

@@ -19,10 +19,16 @@ Storage middle-ware CLIs.
 
 """
 from __future__ import annotations
+# from datetime import datetime
+# from contextlib import (
+#     AsyncExitStack,
+# )
 from pathlib import Path
+from math import copysign
 import time
 from types import ModuleType
 from typing import (
+    Any,
     TYPE_CHECKING,
 )
 
@@ -37,8 +43,11 @@ import typer
 
 from piker.service import open_piker_runtime
 from piker.cli import cli
-from tractor.ipc._shm import ShmArray
+from piker.data import (
+    ShmArray,
+)
 from piker import tsp
+from piker.data._formatters import BGM
 from . import log
 from . import (
     __tsdbs__,
@@ -233,12 +242,122 @@ def anal(
     trio.run(main)
 
 
+async def markup_gaps(
+    fqme: str,
+    timeframe: float,
+    actl: AnnotCtl,
+    wdts: pl.DataFrame,
+    gaps: pl.DataFrame,
+
+) -> dict[int, dict]:
+    '''
+    Remote annotate time-gaps in a dt-fielded ts (normally OHLC)
+    with rectangles.
+
+    '''
+    aids: dict[int] = {}
+    for i in range(gaps.height):
+
+        row: pl.DataFrame = gaps[i]
+
+        # the gap's RIGHT-most bar's OPEN value
+        # at that time (sample) step.
+        iend: int = row['index'][0]
+        # dt: datetime = row['dt'][0]
+        # dt_prev: datetime = row['dt_prev'][0]
+        # dt_end_t: float = dt.timestamp()
+
+
+        # TODO: can we eventually remove this
+        # once we figure out why the epoch cols
+        # don't match?
+        # TODO: FIX HOW/WHY these aren't matching
+        # and are instead off by 4hours (EST
+        # vs. UTC?!?!)
+        # end_t: float = row['time']
+        # assert (
+        #     dt.timestamp()
+        #     ==
+        #     end_t
+        # )
+
+        # the gap's LEFT-most bar's CLOSE value
+        # at that time (sample) step.
+        prev_r: pl.DataFrame = wdts.filter(
+            pl.col('index') == iend - 1
+        )
+        # XXX: probably a gap in the (newly sorted or de-duplicated)
+        # dt-df, so we might need to re-index first..
+        if prev_r.is_empty():
+            await tractor.pause()
+
+        istart: int = prev_r['index'][0]
+        # dt_start_t: float = dt_prev.timestamp()
+
+        # start_t: float = prev_r['time']
+        # assert (
+        #     dt_start_t
+        #     ==
+        #     start_t
+        # )
+
+        # TODO: implement px-col width measure
+        # and ensure at least as many px-cols
+        # shown per rect as configured by user.
+        # gap_w: float = abs((iend - istart))
+        # if gap_w < 6:
+        #     margin: float = 6
+        #     iend += margin
+        #     istart -= margin
+
+        rect_gap: float = BGM*3/8
+        opn: float = row['open'][0]
+        ro: tuple[float, float] = (
+            # dt_end_t,
+            iend + rect_gap + 1,
+            opn,
+        )
+        cls: float = prev_r['close'][0]
+        lc: tuple[float, float] = (
+            # dt_start_t,
+            istart - rect_gap, # + 1 ,
+            cls,
+        )
+
+        color: str = 'dad_blue'
+        diff: float = cls - opn
+        sgn: float = copysign(1, diff)
+        color: str = {
+            -1: 'buy_green',
+            1: 'sell_red',
+        }[sgn]
+
+        rect_kwargs: dict[str, Any] = dict(
+            fqme=fqme,
+            timeframe=timeframe,
+            start_pos=lc,
+            end_pos=ro,
+            color=color,
+        )
+
+        aid: int = await actl.add_rect(**rect_kwargs)
+        assert aid
+        aids[aid] = rect_kwargs
+
+    # tell chart to redraw all its
+    # graphics view layers Bo
+    await actl.redraw(
+        fqme=fqme,
+        timeframe=timeframe,
+    )
+    return aids
+
+
 @store.command()
 def ldshm(
     fqme: str,
     write_parquet: bool = True,
     reload_parquet_to_shm: bool = True,
-    pdb: bool = False,  # --pdb passed?
 
 ) -> None:
     '''
@@ -258,7 +377,7 @@ def ldshm(
             open_piker_runtime(
                 'polars_boi',
                 enable_modules=['piker.data._sharedmem'],
-                debug_mode=pdb,
+                debug_mode=True,
             ),
             open_storage_client() as (
                 mod,
@@ -278,19 +397,17 @@ def ldshm(
 
                 times: np.ndarray = shm.array['time']
                 d1: float = float(times[-1] - times[-2])
-                d2: float = 0
-                # XXX, take a median sample rate if sufficient data
-                if times.size > 2:
-                    d2: float = float(times[-2] - times[-3])
-                    med: float = np.median(np.diff(times))
-                    if (
-                        d1 < 1.
-                        and d2 < 1.
-                        and med < 1.
-                    ):
-                        raise ValueError(
-                            f'Something is wrong with time period for {shm}:\n{times}'
-                        )
+                d2: float = float(times[-2] - times[-3])
+                med: float = np.median(np.diff(times))
+                if (
+                    d1 < 1.
+                    and d2 < 1.
+                    and med < 1.
+                ):
+                    raise ValueError(
+                        f'Something is wrong with time period for {shm}:\n{times}'
+                    )
+
                 period_s: float = float(max(d1, d2, med))
 
                 null_segs: tuple = tsp.get_null_segs(
@@ -300,9 +417,7 @@ def ldshm(
 
                 # TODO: call null-seg fixer somehow?
                 if null_segs:
-
-                    if tractor._state.is_debug_mode():
-                        await tractor.pause()
+                    await tractor.pause()
                 #     async with (
                 #         trio.open_nursery() as tn,
                 #         mod.open_history_client(
@@ -326,37 +441,11 @@ def ldshm(
                     wdts,
                     deduped,
                     diff,
-                    valid_races,
-                    dq_issues,
-                ) = tsp.dedupe_ohlcv_smart(
+                ) = tsp.dedupe(
                     shm_df,
+                    period=period_s,
                 )
 
-                # Report duplicate analysis
-                if diff > 0:
-                    log.info(
-                        f'Removed {diff} duplicate timestamp(s)\n'
-                    )
-                    if valid_races is not None:
-                        identical: int = (
-                            valid_races
-                            .filter(pl.col('identical_bars'))
-                            .height
-                        )
-                        monotonic: int = valid_races.height - identical
-                        log.info(
-                            f'Valid race conditions: {valid_races.height}\n'
-                            f'  - Identical bars: {identical}\n'
-                            f'  - Volume monotonic: {monotonic}\n'
-                        )
-
-                    if dq_issues is not None:
-                        log.warning(
-                            f'DATA QUALITY ISSUES from provider: '
-                            f'{dq_issues.height} timestamp(s)\n'
-                            f'{dq_issues}\n'
-                        )
-
                 # detect gaps from in expected (uniform OHLC) sample period
                 step_gaps: pl.DataFrame = tsp.detect_time_gaps(
                     deduped,
@@ -371,8 +460,7 @@ def ldshm(
 
                     # TODO: actually pull the exact duration
                     # expected for each venue operational period?
-                    # gap_dt_unit='day',
-                    gap_dt_unit='day',
+                    gap_dt_unit='days',
                     gap_thresh=1,
                 )
 
@@ -383,11 +471,8 @@ def ldshm(
                 if (
                     not venue_gaps.is_empty()
                     or (
-                        not step_gaps.is_empty()
-                        # XXX, i presume i put this bc i was guarding
-                        # for ib venue gaps?
-                        # and
-                        # period_s < 60
+                        period_s < 60
+                        and not step_gaps.is_empty()
                     )
                 ):
                     # write repaired ts to parquet-file?
@@ -436,7 +521,7 @@ def ldshm(
                     do_markup_gaps: bool = True
                     if do_markup_gaps:
                         new_df: pl.DataFrame = tsp.np2pl(new)
-                        aids: dict = await tsp._annotate.markup_gaps(
+                        aids: dict = await markup_gaps(
                             fqme,
                             period_s,
                             actl,
@@ -445,23 +530,12 @@ def ldshm(
                         )
                         # last chance manual overwrites in REPL
                         # await tractor.pause()
-                        if not aids:
-                            log.warning(
-                                f'No gaps were found !?\n'
-                                f'fqme: {fqme!r}\n'
-                                f'timeframe: {period_s!r}\n'
-                                f"WELL THAT'S GOOD NOOZ!\n"
-                            )
+                        assert aids
                         tf2aids[period_s] = aids
 
                 else:
-                    # No significant gaps to handle, but may have had
-                    # duplicates removed (valid race conditions are ok)
-                    if diff > 0 and dq_issues is not None:
-                        log.warning(
-                            'Found duplicates with data quality issues '
-                            'but no significant time gaps!\n'
-                        )
+                    # allow interaction even when no ts problems.
+                    assert not diff
 
             await tractor.pause()
             log.info('Exiting TSP shm anal-izer!')

piker/storage/nativedb.py

@@ -64,8 +64,10 @@ from pendulum import (
 
 from piker import config
 from piker import tsp
-from tractor.ipc._shm import ShmArray
-from piker.data import def_iohlcv_fields
+from piker.data import (
+    def_iohlcv_fields,
+    ShmArray,
+)
 from piker.log import get_logger
 from . import TimeseriesNotFound
 
@@ -109,6 +111,24 @@ def mk_ohlcv_shm_keyed_filepath(
     return path
 
 
+def mk_oi_shm_keyed_filepath(
+    fqme: str,
+    period: float | int,
+    datadir: Path,
+
+) -> Path:
+
+    if period < 1.:
+        raise ValueError('Sample period should be >= 1.!?')
+
+    path: Path = (
+        datadir
+        /
+        f'{fqme}.oi{int(period)}s.parquet'
+    )
+    return path
+
+
 def unpack_fqme_from_parquet_filepath(path: Path) -> str:
 
     filename: str = str(path.name)
@@ -170,7 +190,11 @@ class NativeStorageClient:
 
             key: str = path.name.rstrip('.parquet')
             fqme, _, descr = key.rpartition('.')
-            prefix, _, suffix = descr.partition('ohlcv')
+            if 'ohlcv' in descr: 
+                prefix, _, suffix = descr.partition('ohlcv')
+            elif 'oi' in descr:
+                prefix, _, suffix = descr.partition('oi')
+
             period: int = int(suffix.strip('s'))
 
             # cache description data
@@ -367,6 +391,61 @@ class NativeStorageClient:
             timeframe,
         )
 
+    def _write_oi(
+        self,
+        fqme: str,
+        oi: np.ndarray,
+
+    ) -> Path:
+        '''
+        Sync version of the public interface meth, since we don't
+        currently actually need or support an async impl.
+
+        '''
+        path: Path = mk_oi_shm_keyed_filepath(
+            fqme=fqme,
+            period=1,
+            datadir=self._datadir,
+        )
+        if isinstance(oi, np.ndarray):
+            new_df: pl.DataFrame = tsp.np2pl(oi)
+        else:
+            new_df = oi
+
+        if path.exists():
+            old_df = pl.read_parquet(path)
+            df = pl.concat([old_df, new_df])
+        else:
+            df = new_df
+
+        start = time.time()
+        df.write_parquet(path)
+        delay: float = round(
+            time.time() - start,
+            ndigits=6,
+        )
+        log.info(
+            f'parquet write took {delay} secs\n'
+            f'file path: {path}'
+        )
+        return path
+
+    async def write_oi(
+        self,
+        fqme: str,
+        oi: np.ndarray,
+
+    ) -> Path:
+        '''
+        Write input oi time series for fqme and sampling period
+        to (local) disk.
+
+        '''
+        return self._write_oi(
+            fqme,
+            oi,
+        )
+
     async def delete_ts(
         self,
         key: str,

piker/tsp/_anal.py

@@ -54,10 +54,10 @@ from ..log import (
 # for "time series processing"
 subsys: str = 'piker.tsp'
 
-log = get_logger(name=__name__)
+log = get_logger(subsys)
 get_console_log = partial(
     get_console_log,
-    name=subsys,  # activate for subsys-pkg "downward"
+    name=subsys,
 )
 
 # NOTE: union type-defs to handle generic `numpy` and `polars` types
@@ -275,18 +275,6 @@ def get_null_segs(
         # diff of abs index steps between each zeroed row
         absi_zdiff: np.ndarray = np.diff(absi_zeros)
 
-        if zero_t.size < 2:
-            try:
-                breakpoint()
-            except RuntimeError:
-                # XXX, if greenback not active from
-                # piker store ldshm cmd..
-                log.exception(
-                    "Can't debug single-sample null!\n"
-                )
-
-            return None
-
         # scan for all frame-indices where the
         # zeroed-row-abs-index-step-diff is greater then the
         # expected increment of 1.
@@ -446,8 +434,8 @@ def get_null_segs(
 
 def iter_null_segs(
     timeframe: float,
-    frame: Frame|None = None,
-    null_segs: tuple|None = None,
+    frame: Frame | None = None,
+    null_segs: tuple | None = None,
 
 ) -> Generator[
     tuple[
@@ -499,8 +487,7 @@ def iter_null_segs(
         start_dt = None
         if (
             absi_start is not None
-            and
-            start_t != 0
+            and start_t != 0
         ):
             fi_start: int = absi_start - absi_first
             start_row: Seq = frame[fi_start]
@@ -514,8 +501,8 @@ def iter_null_segs(
         yield (
             absi_start, absi_end,  # abs indices
             fi_start, fi_end,  # relative "frame" indices
-            start_t, end_t,  # epoch times
-            start_dt, end_dt,  # dts
+            start_t, end_t,
+            start_dt, end_dt,
         )
 
 
@@ -591,22 +578,11 @@ def detect_time_gaps(
     # NOTE: this flag is to indicate that on this (sampling) time
     # scale we expect to only be filtering against larger venue
     # closures-scale time gaps.
-    #
-    # Map to total_ method since `dt_diff` is a duration type,
-    # not datetime - modern polars requires `total_*` methods
-    # for duration types (e.g. `total_days()` not `day()`)
-    # Ensure plural form for polars API (e.g. 'day' -> 'days')
-    unit_plural: str = (
-        gap_dt_unit
-        if gap_dt_unit.endswith('s')
-        else f'{gap_dt_unit}s'
-    )
-    duration_method: str = f'total_{unit_plural}'
     return step_gaps.filter(
         # Second by an arbitrary dt-unit step size
         getattr(
             pl.col('dt_diff').dt,
-            duration_method,
+            gap_dt_unit,
         )().abs() > gap_thresh
     )
 

piker/tsp/_annotate.py

@@ -1,306 +0,0 @@
-# piker: trading gear for hackers
-# Copyright (C) 2018-present  Tyler Goodlet (in stewardship of pikers)
-
-# This program is free software: you can redistribute it and/or modify
-# it under the terms of the GNU Affero General Public License as published by
-# the Free Software Foundation, either version 3 of the License, or
-# (at your option) any later version.
-
-# This program is distributed in the hope that it will be useful,
-# but WITHOUT ANY WARRANTY; without even the implied warranty of
-# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
-# GNU Affero General Public License for more details.
-
-# You should have received a copy of the GNU Affero General Public License
-# along with this program.  If not, see <https://www.gnu.org/licenses/>.
-
-"""
-Time-series (remote) annotation APIs.
-
-"""
-from __future__ import annotations
-from math import copysign
-from typing import (
-    Any,
-    TYPE_CHECKING,
-)
-
-import polars as pl
-import tractor
-
-from piker.data._formatters import BGM
-from piker.storage import log
-from piker.ui._style import get_fonts
-
-if TYPE_CHECKING:
-    from piker.ui._remote_ctl import AnnotCtl
-
-
-def humanize_duration(
-    seconds: float,
-) -> str:
-    '''
-    Convert duration in seconds to short human-readable form.
-
-    Uses smallest appropriate time unit:
-    - d: days
-    - h: hours
-    - m: minutes
-    - s: seconds
-
-    Examples:
-    - 86400 -> "1d"
-    - 28800 -> "8h"
-    - 180 -> "3m"
-    - 45 -> "45s"
-
-    '''
-    abs_secs: float = abs(seconds)
-
-    if abs_secs >= 86400:
-        days: float = abs_secs / 86400
-        if days >= 10 or days == int(days):
-            return f'{int(days)}d'
-        return f'{days:.1f}d'
-
-    elif abs_secs >= 3600:
-        hours: float = abs_secs / 3600
-        if hours >= 10 or hours == int(hours):
-            return f'{int(hours)}h'
-        return f'{hours:.1f}h'
-
-    elif abs_secs >= 60:
-        mins: float = abs_secs / 60
-        if mins >= 10 or mins == int(mins):
-            return f'{int(mins)}m'
-        return f'{mins:.1f}m'
-
-    else:
-        if abs_secs >= 10 or abs_secs == int(abs_secs):
-            return f'{int(abs_secs)}s'
-        return f'{abs_secs:.1f}s'
-
-
-async def markup_gaps(
-    fqme: str,
-    timeframe: float,
-    actl: AnnotCtl,
-    wdts: pl.DataFrame,
-    gaps: pl.DataFrame,
-
-    # XXX, switch on to see txt showing a "humanized" label of each
-    # gap's duration.
-    show_txt: bool = False,
-
-) -> dict[int, dict]:
-    '''
-    Remote annotate time-gaps in a dt-fielded ts (normally OHLC)
-    with rectangles.
-
-    '''
-    # XXX: force chart redraw FIRST to ensure PlotItem coordinate
-    # system is properly initialized before we position annotations!
-    # Without this, annotations may be misaligned on first creation
-    # due to Qt/pyqtgraph initialization race conditions.
-    await actl.redraw(
-        fqme=fqme,
-        timeframe=timeframe,
-    )
-
-    aids: dict[int] = {}
-    for i in range(gaps.height):
-        row: pl.DataFrame = gaps[i]
-
-        # the gap's RIGHT-most bar's OPEN value
-        # at that time (sample) step.
-        iend: int = row['index'][0]
-
-        # dt: datetime = row['dt'][0]
-        # dt_prev: datetime = row['dt_prev'][0]
-        # dt_end_t: float = dt.timestamp()
-
-
-        # TODO: can we eventually remove this
-        # once we figure out why the epoch cols
-        # don't match?
-        # TODO: FIX HOW/WHY these aren't matching
-        # and are instead off by 4hours (EST
-        # vs. UTC?!?!)
-        # end_t: float = row['time']
-        # assert (
-        #     dt.timestamp()
-        #     ==
-        #     end_t
-        # )
-
-        # the gap's LEFT-most bar's CLOSE value
-        # at that time (sample) step.
-        prev_r: pl.DataFrame = wdts.filter(
-            pl.col('index') == iend - 1
-        )
-        # XXX: probably a gap in the (newly sorted or de-duplicated)
-        # dt-df, so we might need to re-index first..
-        dt: pl.Series = row['dt']
-        dt_prev: pl.Series = row['dt_prev']
-        if prev_r.is_empty():
-
-            # XXX, filter out any special ignore cases,
-            # - UNIX-epoch stamped datums
-            # - first row
-            if (
-                dt_prev.dt.epoch()[0] == 0
-                or
-                dt.dt.epoch()[0] == 0
-            ):
-                log.warning('Skipping row with UNIX epoch timestamp ??')
-                continue
-
-            if wdts[0]['index'][0] == iend:  # first row
-                log.warning('Skipping first-row (has no previous obvi) !!')
-                continue
-
-            # XXX, if the previous-row by shm-index is missing,
-            # meaning there is a missing sample (set), get the prior
-            # row by df index and attempt to use it?
-            i_wdts: pl.DataFrame = wdts.with_row_index(name='i')
-            i_row: int = i_wdts.filter(pl.col('index') == iend)['i'][0]
-            prev_row_by_i = wdts[i_row]
-            prev_r: pl.DataFrame = prev_row_by_i
-
-            # debug any missing pre-row
-            if tractor._state.is_debug_mode():
-                await tractor.pause()
-
-        istart: int = prev_r['index'][0]
-        # TODO: implement px-col width measure
-        # and ensure at least as many px-cols
-        # shown per rect as configured by user.
-        # gap_w: float = abs((iend - istart))
-        # if gap_w < 6:
-        #     margin: float = 6
-        #     iend += margin
-        #     istart -= margin
-
-        opn: float = row['open'][0]
-        cls: float = prev_r['close'][0]
-
-        # get gap duration for humanized label
-        gap_dur_s: float = row['s_diff'][0]
-        gap_label: str = humanize_duration(gap_dur_s)
-
-        # XXX: get timestamps for server-side index lookup
-        start_time: float = prev_r['time'][0]
-        end_time: float = row['time'][0]
-
-        # BGM=0.16 is the normal diff from overlap between bars, SO
-        # just go slightly "in" from that "between them".
-        from_idx: int = BGM - .06  # = .10
-        lc: tuple[float, float] = (
-            istart + 1 - from_idx,
-            cls,
-        )
-        ro: tuple[float, float] = (
-            iend + from_idx,
-            opn,
-        )
-
-        diff: float = cls - opn
-        sgn: float = copysign(1, diff)
-        up_gap: bool = sgn == -1
-        down_gap: bool = sgn == 1
-        flat: bool = sgn == 0
-
-        color: str = 'dad_blue'
-        # TODO? mks more sense to have up/down coloring?
-        # color: str = {
-        #     -1: 'lilypad_green',  # up-gap
-        #     1: 'wine',  # down-gap
-        # }[sgn]
-
-        rect_kwargs: dict[str, Any] = dict(
-            fqme=fqme,
-            timeframe=timeframe,
-            start_pos=lc,
-            end_pos=ro,
-            color=color,
-            start_time=start_time,
-            end_time=end_time,
-        )
-
-        # add up/down rects
-        aid: int|None = await actl.add_rect(**rect_kwargs)
-        if aid is None:
-            log.error(
-                f'Failed to add rect for,\n'
-                f'{rect_kwargs!r}\n'
-                f'\n'
-                f'Skipping to next gap!\n'
-            )
-            continue
-
-        assert aid
-        aids[aid] = rect_kwargs
-        direction: str = (
-            'down' if down_gap
-            else 'up'
-        )
-        # TODO! mk this a `msgspec.Struct` which we deserialize
-        # on the server side!
-        # XXX: send timestamp for server-side index lookup
-        # to ensure alignment with current shm state
-        gap_time: float = row['time'][0]
-        arrow_kwargs: dict[str, Any] = dict(
-            fqme=fqme,
-            timeframe=timeframe,
-            x=iend,  # fallback if timestamp lookup fails
-            y=cls,
-            time=gap_time,  # for server-side index lookup
-            color=color,
-            alpha=169,
-            pointing=direction,
-            # TODO: expose these as params to markup_gaps()?
-            headLen=10,
-            headWidth=2.222,
-            pxMode=True,
-        )
-
-        aid: int = await actl.add_arrow(
-            **arrow_kwargs
-        )
-
-        # add duration label to RHS of arrow
-        if up_gap:
-            anchor = (0, 0)
-            # ^XXX? i dun get dese dims.. XD
-        elif down_gap:
-            anchor = (0, 1)  # XXX y, x?
-        else:  # no-gap?
-            assert flat
-            anchor = (0, 0)  # up from bottom
-
-        # use a slightly smaller font for gap label txt.
-        font, small_font = get_fonts()
-        font_size: int = small_font.px_size - 1
-        assert isinstance(font_size, int)
-
-        if show_txt:
-            text_aid: int = await actl.add_text(
-                fqme=fqme,
-                timeframe=timeframe,
-                text=gap_label,
-                x=iend + 1,  # fallback if timestamp lookup fails
-                y=cls,
-                time=gap_time,  # server-side index lookup
-                color=color,
-                anchor=anchor,
-                font_size=font_size,
-            )
-            aids[text_aid] = {'text': gap_label}
-
-    # tell chart to redraw all its
-    # graphics view layers Bo
-    await actl.redraw(
-        fqme=fqme,
-        timeframe=timeframe,
-    )
-    return aids

piker/tsp/_dedupe_smart.py

@@ -1,206 +0,0 @@
-'''
-Smart OHLCV deduplication with data quality validation.
-
-Handles concurrent write conflicts by keeping the most complete bar
-(highest volume) while detecting data quality anomalies.
-
-'''
-import polars as pl
-
-from ._anal import with_dts
-
-
-def dedupe_ohlcv_smart(
-    src_df: pl.DataFrame,
-    time_col: str = 'time',
-    volume_col: str = 'volume',
-    sort: bool = True,
-
-) -> tuple[
-    pl.DataFrame,  # with dts
-    pl.DataFrame,  # deduped (keeping higher volume bars)
-    int,  # count of dupes removed
-    pl.DataFrame|None,  # valid race conditions
-    pl.DataFrame|None,  # data quality violations
-]:
-    '''
-    Smart OHLCV deduplication keeping most complete bars.
-
-    For duplicate timestamps, keeps bar with highest volume under
-    the assumption that higher volume indicates more complete/final
-    data from backfill vs partial live updates.
-
-    Returns
-    -------
-    Tuple of:
-    - wdts: original dataframe with datetime columns added
-    - deduped: deduplicated frame keeping highest-volume bars
-    - diff: number of duplicate rows removed
-    - valid_races: duplicates meeting expected race condition pattern
-      (volume monotonic, OHLC ranges valid)
-    - data_quality_issues: duplicates violating expected relationships
-      indicating provider data problems
-
-    '''
-    wdts: pl.DataFrame = with_dts(src_df)
-
-    # Find duplicate timestamps
-    dupes: pl.DataFrame = wdts.filter(
-        pl.col(time_col).is_duplicated()
-    )
-
-    if dupes.is_empty():
-        # No duplicates, return as-is
-        return (wdts, wdts, 0, None, None)
-
-    # Analyze duplicate groups for validation
-    dupe_analysis: pl.DataFrame = (
-        dupes
-        .sort([time_col, 'index'])
-        .group_by(time_col, maintain_order=True)
-        .agg([
-            pl.col('index').alias('indices'),
-            pl.col('volume').alias('volumes'),
-            pl.col('high').alias('highs'),
-            pl.col('low').alias('lows'),
-            pl.col('open').alias('opens'),
-            pl.col('close').alias('closes'),
-            pl.col('dt').first().alias('dt'),
-            pl.len().alias('count'),
-        ])
-    )
-
-    # Validate OHLCV monotonicity for each duplicate group
-    def check_ohlcv_validity(row) -> dict[str, bool]:
-        '''
-        Check if duplicate bars follow expected race condition pattern.
-
-        For a valid live-update → backfill race:
-        - volume should be monotonically increasing
-        - high should be monotonically non-decreasing
-        - low should be monotonically non-increasing
-        - open should be identical (fixed at bar start)
-
-        Returns dict of violation flags.
-
-        '''
-        vols: list = row['volumes']
-        highs: list = row['highs']
-        lows: list = row['lows']
-        opens: list = row['opens']
-
-        violations: dict[str, bool] = {
-            'volume_non_monotonic': False,
-            'high_decreased': False,
-            'low_increased': False,
-            'open_mismatch': False,
-            'identical_bars': False,
-        }
-
-        # Check if all bars are identical (pure duplicate)
-        if (
-            len(set(vols)) == 1
-            and len(set(highs)) == 1
-            and len(set(lows)) == 1
-            and len(set(opens)) == 1
-        ):
-            violations['identical_bars'] = True
-            return violations
-
-        # Check volume monotonicity
-        for i in range(1, len(vols)):
-            if vols[i] < vols[i-1]:
-                violations['volume_non_monotonic'] = True
-                break
-
-        # Check high monotonicity (can only increase or stay same)
-        for i in range(1, len(highs)):
-            if highs[i] < highs[i-1]:
-                violations['high_decreased'] = True
-                break
-
-        # Check low monotonicity (can only decrease or stay same)
-        for i in range(1, len(lows)):
-            if lows[i] > lows[i-1]:
-                violations['low_increased'] = True
-                break
-
-        # Check open consistency (should be fixed)
-        if len(set(opens)) > 1:
-            violations['open_mismatch'] = True
-
-        return violations
-
-    # Apply validation
-    dupe_analysis = dupe_analysis.with_columns([
-        pl.struct(['volumes', 'highs', 'lows', 'opens'])
-        .map_elements(
-            check_ohlcv_validity,
-            return_dtype=pl.Struct([
-                pl.Field('volume_non_monotonic', pl.Boolean),
-                pl.Field('high_decreased', pl.Boolean),
-                pl.Field('low_increased', pl.Boolean),
-                pl.Field('open_mismatch', pl.Boolean),
-                pl.Field('identical_bars', pl.Boolean),
-            ])
-        )
-        .alias('validity')
-    ])
-
-    # Unnest validity struct
-    dupe_analysis = dupe_analysis.unnest('validity')
-
-    # Separate valid races from data quality issues
-    valid_races: pl.DataFrame|None = (
-        dupe_analysis
-        .filter(
-            # Valid if no violations OR just identical bars
-            ~pl.col('volume_non_monotonic')
-            & ~pl.col('high_decreased')
-            & ~pl.col('low_increased')
-            & ~pl.col('open_mismatch')
-        )
-    )
-    if valid_races.is_empty():
-        valid_races = None
-
-    data_quality_issues: pl.DataFrame|None = (
-        dupe_analysis
-        .filter(
-            # Issues if any non-identical violation exists
-            (
-                pl.col('volume_non_monotonic')
-                | pl.col('high_decreased')
-                | pl.col('low_increased')
-                | pl.col('open_mismatch')
-            )
-            & ~pl.col('identical_bars')
-        )
-    )
-    if data_quality_issues.is_empty():
-        data_quality_issues = None
-
-    # Deduplicate: keep highest volume bar for each timestamp
-    deduped: pl.DataFrame = (
-        wdts
-        .sort([time_col, volume_col])
-        .unique(
-            subset=[time_col],
-            keep='last',
-            maintain_order=False,
-        )
-    )
-
-    # Re-sort by time or index
-    if sort:
-        deduped = deduped.sort(by=time_col)
-
-    diff: int = wdts.height - deduped.height
-
-    return (
-        wdts,
-        deduped,
-        diff,
-        valid_races,
-        data_quality_issues,
-    )