jihoson/The-Ouroboros
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Code Issues 14 Pull Requests 1 Actions 45 Packages Projects Releases Wiki Activity
101 Commits 149 Branches 0 Tags
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5 Commits

Author SHA1 Message Date
agentson
7f2f96a819 feat: add playbook persistence with DB schema and CRUD store (issue #82)
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Details 
- Add playbooks table to src/db.py with UNIQUE(date, market) constraint
- PlaybookStore: save/load/delete, status management, match_count tracking,
  list_recent with market filter, stats without full deserialization
- DayPlaybook JSON serialization via Pydantic model_dump_json/model_validate_json
- 23 tests, 100% coverage on playbook_store.py

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
 2026-02-08 21:00:04 +09:00
agentson
e711d6702a fix: deduplicate missing-key warnings and normalize match_details
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Details 
Addresses second round of PR #102 review:
- _warn_missing_key(): logs each missing key only once per engine instance
  to prevent log spam in high-frequency trading loops
- _build_match_details(): uses _safe_float() normalized values instead of
  raw market_data to ensure consistent float types in logging/analysis
- Test: verify warning fires exactly once across repeated calls
- Test: verify match_details contains normalized float values

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
 2026-02-08 20:41:20 +09:00
agentson
d2fc829380 fix: add safe type casting and missing-key warnings in ScenarioEngine
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Details 
Addresses PR #102 review findings:
- _safe_float() prevents TypeError from str/Decimal/invalid market_data values
- Warning logs when condition references a key missing from market_data
- 5 new tests: string, percent string, Decimal, mixed invalid types, log check

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
 2026-02-08 16:23:54 +09:00
agentson
9599b188e8 feat: implement local scenario engine for playbook execution (issue #80)
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Details 
ScenarioEngine evaluates pre-defined playbook scenarios against real-time
market data with sub-100ms execution (zero API calls). Supports condition
AND-matching, global portfolio rules, and first-match-wins priority.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
 2026-02-08 02:23:53 +09:00
agentson
7fd48c7764 feat: add strategy/playbook Pydantic models (issue #79)
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Details 
Define data contracts for the proactive strategy system:
- StockCondition: AND-combined condition fields (RSI, volume, price)
- StockScenario: condition-action rules with stop loss/take profit
- StockPlaybook: per-stock scenario collection
- GlobalRule: portfolio-level rules (e.g. REDUCE_ALL on loss limit)
- DayPlaybook: complete daily playbook per market with validation
- CrossMarketContext: cross-market awareness (KR↔US)
- ScenarioAction, MarketOutlook, PlaybookStatus enums

33 tests covering validation, serialization, edge cases.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
 2026-02-08 02:06:16 +09:00