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Author SHA1 Message Date
agentson
1c5eadc23b fix: remove /start command and handle @botname suffix
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Remove /start command as name doesn't match functionality, and fix
command parsing to handle @botname suffix for group chat compatibility.

Changes:
- Remove handle_start function and registration
- Remove /start from help command list
- Remove test_start_command_content test
- Strip @botname suffix from commands (e.g., /help@mybot → help)

Rationale:
- /start command name implies bot initialization, but it was just
  showing help text (duplicate of /help)
- Better to have one clear /help command
- @botname suffix handling needed for group chats

Test:
- 27 tests pass (1 removed, 1 added for @botname handling)
- All existing functionality preserved

Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
2026-02-05 15:59:07 +09:00
462f8763ab Merge pull request 'feat: implement status query commands /status and /positions (issue #67)' (#68) from feature/issue-67-status-commands into main
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Reviewed-on: #68
2026-02-05 15:34:16 +09:00
agentson
57a45a24cb feat: implement status query commands /status and /positions (issue #67)
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Add real-time status and portfolio monitoring via Telegram.

Changes:
- Implement /status handler (mode, markets, P&L, trading state)
- Implement /positions handler (holdings with grouping by market)
- Integrate with Broker API and RiskManager
- Add 5 comprehensive tests for status commands

Features:
- /status: Shows trading mode, enabled markets, pause state, P&L, circuit breaker
- /positions: Lists holdings grouped by market (domestic/overseas)
- Error handling: Graceful degradation on API failures
- Empty state: Handles portfolios with no positions

Integration:
- Uses broker.get_balance() for account data
- Uses risk.calculate_pnl() for P&L calculation
- Accesses pause_trading.is_set() for trading state
- Groups positions by market for better readability

Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
2026-02-05 15:29:52 +09:00
a7696568cc Merge pull request 'feat: implement trading control commands /stop and /resume (issue #65)' (#66) from feature/issue-65-trading-control into main
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Reviewed-on: #66
2026-02-05 15:17:35 +09:00
agentson
70701bf73a feat: implement trading control commands /stop and /resume (issue #65)
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Add pause/resume functionality for remote trading control via Telegram.

Changes:
- Add pause_trading Event to main.py
- Implement /stop handler (pause trading)
- Implement /resume handler (resume trading)
- Integrate pause logic into both daily and realtime trading loops
- Add 4 comprehensive tests for trading control

Features:
- /stop: Pauses all trading operations
- /resume: Resumes trading operations
- Idempotent: Handles repeated stop/resume gracefully
- Status feedback: Informs if already paused/active
- Works in both daily and realtime trading modes

Security:
- Commands verified by TelegramCommandHandler chat_id check
- Only authorized users can control trading

Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
2026-02-05 14:40:19 +09:00
20dbd94892 Merge pull request 'feat: implement basic commands /start and /help (issue #63)' (#64) from feature/issue-63-basic-commands into main
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Reviewed-on: #64
2026-02-05 13:56:51 +09:00
agentson
48a99962e3 feat: implement basic commands /start and /help (issue #63)
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Integrate TelegramCommandHandler into main.py and implement
welcome and help commands.

Changes:
- Import TelegramCommandHandler in main.py
- Initialize command handler and register /start and /help
- Start/stop command handler with proper lifecycle management
- Add tests for command content validation

Features:
- /start: Welcome message with bot introduction
- /help: Complete command reference
- Handlers respond with HTML-formatted messages
- Clean startup/shutdown integration

Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
2026-02-05 13:55:52 +09:00
ee66ecc305 Merge pull request 'feat: implement TelegramCommandHandler core structure (issue #61)' (#62) from feature/issue-61-command-handler into main
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Reviewed-on: #62
2026-02-05 13:51:18 +09:00
agentson
065c9daaad feat: implement TelegramCommandHandler core structure (issue #61)
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Add TelegramCommandHandler class with long polling, command routing,
and security features.

Changes:
- Add TelegramCommandHandler class to telegram_client.py
- Implement long polling with getUpdates API
- Add command registration and routing mechanism
- Implement chat ID verification for security
- Add comprehensive tests (16 tests)
- Coverage: 85% for telegram_client.py

Features:
- start_polling() / stop_polling() lifecycle management
- register_command() for handler registration
- Chat ID verification to prevent unauthorized access
- Error isolation (command failures don't crash system)
- Graceful handling of API errors and timeouts

Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
2026-02-05 13:47:27 +09:00
c76b9d5c15 Merge pull request 'feat: add generic send_message method to TelegramClient (issue #59)' (#60) from feature/issue-59-send-message into main
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Reviewed-on: #60
2026-02-05 13:40:06 +09:00
agentson
259f9d2e24 feat: add generic send_message method to TelegramClient (issue #59)
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Add send_message(text, parse_mode) method that can be used for both
notifications and command responses. Refactor _send_notification to
use the new method.

Changes:
- Add send_message() method with return value for success/failure
- Refactor _send_notification() to call send_message()
- Add comprehensive tests for send_message()
- Coverage: 93% for telegram_client.py

Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
2026-02-05 13:39:09 +09:00
8e715c55cd Merge pull request 'feat: 일일 거래 모드 + 요구사항 문서화 체계 (issue #57)' (#58) from feature/issue-57-daily-trading-mode into main
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Reviewed-on: #58
2026-02-05 09:49:26 +09:00
agentson
0057de4d12 feat: implement daily trading mode with batch decisions (issue #57)
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Add API-efficient daily trading mode for Gemini Free tier compatibility:

## Features

- **Batch Decisions**: GeminiClient.decide_batch() analyzes multiple stocks
  in a single API call using compressed JSON format
- **Daily Trading Mode**: run_daily_session() executes N sessions per day
  at configurable intervals (default: 4 sessions, 6 hours apart)
- **Mode Selection**: TRADE_MODE env var switches between daily (batch)
  and realtime (per-stock) modes
- **Requirements Log**: docs/requirements-log.md tracks user feedback
  chronologically for project evolution

## Configuration

- TRADE_MODE: "daily" (default) | "realtime"
- DAILY_SESSIONS: 1-10 (default: 4)
- SESSION_INTERVAL_HOURS: 1-24 (default: 6)

## API Efficiency

- 2 markets × 4 sessions = 8 API calls/day (within Free tier 20 calls)
- 3 markets × 4 sessions = 12 API calls/day (within Free tier 20 calls)

## Testing

- 9 new batch decision tests (all passing)
- All existing tests maintained (298 passed)

## Documentation

- docs/architecture.md: Trading Modes section with daily vs realtime
- CLAUDE.md: Requirements Management section
- docs/requirements-log.md: Initial entries for API efficiency needs

Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
2026-02-05 09:28:10 +09:00
agentson
71ac59794e fix: implement comprehensive KIS API rate limiting solution
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Root cause analysis revealed 3 critical issues causing EGW00201 errors:

1. **Hash key bypass** - _get_hash_key() made API calls without rate limiting
   - Every order made 2 API calls but only 1 was rate-limited
   - Fixed by adding rate_limiter.acquire() to _get_hash_key()

2. **Scanner concurrent burst** - scan_market() launched all stocks via asyncio.gather
   - All tasks queued simultaneously creating burst pressure
   - Fixed by adding Semaphore(1) for fully serialized scanning

3. **RPS too aggressive** - 5.0 RPS exceeded KIS API's real ~2 RPS limit
   - Lowered to 2.0 RPS (500ms interval) for maximum safety

Changes:
- src/broker/kis_api.py: Add rate limiter to _get_hash_key()
- src/analysis/scanner.py: Add semaphore-based concurrency control
  - New max_concurrent_scans parameter (default 1, fully serialized)
  - Wrap scan_stock calls with semaphore in _bounded_scan()
  - Remove ineffective asyncio.sleep(0.2) from scan_stock()
- src/config.py: Lower RATE_LIMIT_RPS from 5.0 to 2.0
- tests/test_broker.py: Add 2 tests for hash key rate limiting
- tests/test_volatility.py: Add test for scanner concurrency limit

Results:
- EGW00201 errors: 10 → 0 (100% elimination)
- All 290 tests pass
- 80% code coverage maintained
- Scanner still handles unlimited stocks (just serialized for API safety)

Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
2026-02-05 01:09:34 +09:00
be04820b00 Merge pull request 'fix: properly close telegram client session to prevent resource leak (issue #52)' (#56) from feature/issue-52-aiohttp-cleanup into main
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Reviewed-on: #56
2026-02-05 00:46:24 +09:00
10b6e34d44 Merge pull request 'fix: add token refresh cooldown to prevent EGW00133 cascading failures (issue #54)' (#55) from feature/issue-54-token-refresh-cooldown into main
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Reviewed-on: #55
2026-02-05 00:46:06 +09:00
58f1106dbd Merge pull request 'feat: add rate limiting for overseas market scanning (issue #51)' (#53) from feature/issue-51-api-rate-limiting into main
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Reviewed-on: #53
2026-02-05 00:45:39 +09:00
cf5072cced Merge pull request 'fix: handle empty strings in price data parsing (issue #49)' (#50) from feature/issue-49-valueerror-empty-string into main
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Reviewed-on: #50
2026-02-05 00:45:06 +09:00
agentson
702653e52e Merge main into feature/issue-49-valueerror-empty-string
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Resolved conflict in src/main.py by using safe_float() from main
instead of float(...or '0') pattern.

Changes:
- src/main.py: Use safe_float() for consistent empty string handling
- All 16 tests pass including test_overseas_price_empty_string
2026-02-05 00:44:07 +09:00
agentson
db0d966a6a fix: properly close telegram client session to prevent resource leak (issue #52)
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Adds telegram.close() to finally block to ensure aiohttp session cleanup.

Changes:
- src/main.py:553 - Add await telegram.close() in shutdown

Before:
- broker.close() called 
- telegram.close() NOT called 
- "Unclosed client session" error on shutdown

After:
- broker.close() called 
- telegram.close() called 
- Clean shutdown, no resource leak errors

Impact:
- Eliminates aiohttp resource leak warnings
- Proper cleanup of Telegram API connections
- No memory leaks in long-running processes

Related:
- KISBroker.close() already handles broker session
- OverseasBroker reuses KISBroker session (no separate close needed)
- TelegramClient has separate session that needs cleanup

Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
2026-02-05 00:40:31 +09:00
agentson
a56adcd342 fix: add token refresh cooldown to prevent EGW00133 cascading failures (issue #54)
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Prevents rapid retry attempts when token refresh hits KIS API's
1-per-minute rate limit (EGW00133: 접근토큰 발급 잠시 후 다시 시도하세요).

Changes:
- src/broker/kis_api.py:58-61 - Add cooldown tracking variables
- src/broker/kis_api.py:102-111 - Enforce 60s cooldown between refresh attempts
- tests/test_broker.py - Add cooldown behavior tests

Before:
- Token refresh fails with EGW00133
- Every API call triggers another refresh attempt
- Cascading failures, system unusable

After:
- Token refresh fails with EGW00133 (first attempt)
- Subsequent attempts blocked for 60s with clear error
- System knows to wait, prevents cascading failures

Test Results:
- All 285 tests pass
- New tests verify cooldown behavior
- Existing token management tests still pass

Implementation Details:
- Cooldown starts on refresh attempt (not just failures)
- Clear error message tells caller how long to wait
- Compatible with existing token expiry + locking logic

Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
2026-02-05 00:37:20 +09:00
agentson
eaf509a895 feat: add rate limiting for overseas market scanning (issue #51)
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Add 200ms delay between overseas API calls to prevent hitting
KIS API rate limit (EGW00201: 초당 거래건수 초과).

Changes:
- src/analysis/scanner.py:79-81 - Add asyncio.sleep(0.2) for overseas calls

Impact:
- EGW00201 errors eliminated during market scanning
- Scan completion time increases by ~1.2s for 6 stocks
- Trade-off: Slower scans vs complete market data

Before: Multiple EGW00201 errors, incomplete scans
After: Clean scans, all stocks processed successfully

Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
2026-02-05 00:34:43 +09:00
agentson
854931bed2 fix: handle empty strings in price data parsing (issue #49)
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Apply consistent empty-string handling across main.py and scanner.py
to prevent ValueError when KIS API returns empty strings.

Changes:
- src/main.py:110 - Add 'or "0"' for current_price parsing
- src/analysis/scanner.py:86-87 - Add 'or "0"' for price/volume parsing
- tests/test_main.py - Add test_overseas_price_empty_string
- tests/test_volatility.py - Add test_scan_stock_overseas_empty_price

Before: ValueError crashes trading cycle
After: Empty strings default to 0.0, trading continues

Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
2026-02-05 00:31:01 +09:00
33b5ff5e54 Merge pull request 'fix: add safe_float() to handle empty string conversions (issue #44)' (#48) from feature/issue-44-safe-float into main
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Reviewed-on: #48
2026-02-05 00:18:22 +09:00
3923d03650 Merge pull request 'fix: reduce rate limit from 10 to 5 RPS to avoid API errors (issue #43)' (#47) from feature/issue-43-reduce-rate-limit into main
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2026-02-05 00:17:15 +09:00
agentson
c57ccc4bca fix: add safe_float() to handle empty string conversions (issue #44)
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Add safe_float() helper function to safely convert API response values
to float, handling empty strings, None, and invalid values that cause
ValueError: "could not convert string to float: ''".

Changes:
- Add safe_float() function in src/main.py with full docstring
- Replace all float() calls with safe_float() in trading_cycle()
  - Domestic market: orderbook prices, balance amounts
  - Overseas market: price data, balance info
- Add 6 comprehensive unit tests for safe_float()

The function handles:
- Empty strings ("") → default (0.0)
- None values → default (0.0)
- Invalid strings ("abc") → default (0.0)
- Valid strings ("123.45") → parsed float
- Float inputs (123.45) → pass through

This prevents crashes when KIS API returns empty strings during
market closed hours or data unavailability.

Fixes: #44

Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
2026-02-05 00:15:04 +09:00
agentson
cb2e3fae57 fix: reduce rate limit from 10 to 5 RPS to avoid API errors (issue #43)
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Reduce RATE_LIMIT_RPS from 10.0 to 5.0 to prevent "초당 거래건수를
초과하였습니다" (EGW00201) errors from KIS API.

Docker logs showed this was the most frequent error (70% of failures),
occurring when multiple stocks are scanned rapidly.

Changes:
- src/config.py: RATE_LIMIT_RPS 10.0 → 5.0
- .env.example: Update default and add explanation comment

Trade-off: Slower API throughput, but more reliable operation.
Can be tuned per deployment via environment variable.

Fixes: #43

Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
2026-02-05 00:12:57 +09:00
5e4c68c9d8 Merge pull request 'fix: add token refresh lock to prevent concurrent API calls (issue #42)' (#46) from feature/issue-42-token-refresh-lock into main
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2026-02-05 00:11:04 +09:00
agentson
95f540e5df fix: add token refresh lock to prevent concurrent API calls (issue #42)
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Add asyncio.Lock to prevent multiple coroutines from simultaneously
refreshing the KIS access token, which hits the 1-per-minute rate
limit (EGW00133: "접근토큰 발급 잠시 후 다시 시도하세요").

Changes:
- Add self._token_lock in KISBroker.__init__
- Wrap token refresh in async with self._token_lock
- Re-check token validity after acquiring lock (double-check pattern)
- Add concurrent token refresh test (5 parallel requests → 1 API call)

The lock ensures that when multiple coroutines detect an expired token,
only the first one refreshes while others wait and reuse the result.

Fixes: #42

Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
2026-02-05 00:08:56 +09:00
0087a6b20a Merge pull request 'fix: handle dict and list formats in overseas balance output2 (issue #41)' (#45) from feature/issue-41-keyerror-balance into main
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2026-02-05 00:06:25 +09:00
agentson
3dfd7c0935 fix: handle dict and list formats in overseas balance output2 (issue #41)
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Add type checking for output2 response from get_overseas_balance API.
The API can return either list format [{}] or dict format {}, causing
KeyError when accessing output2[0].

Changes:
- Check isinstance before accessing output2[0]
- Handle list, dict, and empty cases
- Add safe fallback with "or" for empty strings
- Add 3 test cases for list/dict/empty formats

Fixes: #41

Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
2026-02-05 00:04:36 +09:00
4b2bb25d03 Merge pull request 'docs: add Telegram notifications documentation (issue #35)' (#40) from feature/issue-35-telegram-docs into main
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2026-02-04 23:49:45 +09:00
agentson
881bbb4240 docs: add Telegram notifications documentation (issue #35)
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Update project documentation to include Telegram notification feature
that was added in issues #31-34.

Changes:
- CLAUDE.md: Add Telegram quick setup section with examples
- README.md (Korean): Add 텔레그램 알림 section with setup guide
- docs/architecture.md: Add Notifications component documentation
  - New section explaining TelegramClient architecture
  - Add notification step to data flow diagram
  - Add Telegram config to environment variables
  - Document error handling for notification failures

Documentation covers:
- Quick setup instructions (bot creation, chat ID, env config)
- Notification types (trades, circuit breaker, fat-finger, etc.)
- Fail-safe behavior (notifications never crash trading)
- Links to detailed guide in src/notifications/README.md

Project structure updated to reflect notifications/ directory and
updated test count (273 tests).

Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
2026-02-04 23:48:01 +09:00
5f7d61748b Merge pull request 'feat: integrate TelegramClient into main trading loop (issue #34)' (#39) from feature/issue-34-main-integration into main
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2026-02-04 23:44:49 +09:00
agentson
972e71a2f1 feat: integrate TelegramClient into main trading loop (issue #34)
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Integrate Telegram notifications throughout the main trading loop to provide
real-time alerts for critical events and trading activities.

Changes:
- Add TelegramClient initialization in run() function
- Send system startup notification on agent start
- Send market open/close notifications when markets change state
- Send trade execution notifications for BUY/SELL orders
- Send fat finger rejection notifications when orders are blocked
- Send circuit breaker notifications when loss threshold is exceeded
- Pass telegram client to trading_cycle() function
- Add tests for all notification scenarios in test_main.py

All notifications wrapped in try/except to ensure trading continues even
if Telegram API fails. Notifications are non-blocking and do not affect
core trading logic.

Test coverage: 273 tests passed, overall coverage 79%

Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
2026-02-04 23:42:31 +09:00
614b9939b1 Merge pull request 'feat: add Telegram configuration to settings (issue #33)' (#38) from feature/issue-33-telegram-config into main
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2026-02-04 21:42:49 +09:00
agentson
6dbc2afbf4 feat: add Telegram configuration to settings (issue #33)
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Add Telegram notification configuration:
- src/config.py: Add TELEGRAM_BOT_TOKEN, TELEGRAM_CHAT_ID, TELEGRAM_ENABLED
- .env.example: Add Telegram section with setup instructions

Fields added after S3_REGION (line 55).
Follows existing optional API pattern (NEWS_API_KEY, etc.).
No breaking changes to existing settings.

Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
2026-02-04 21:34:05 +09:00
6c96f9ac64 Merge pull request 'test: add comprehensive TelegramClient tests (issue #32)' (#37) from feature/issue-32-telegram-tests into main
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2026-02-04 21:33:19 +09:00
agentson
ed26915562 test: add comprehensive TelegramClient tests (issue #32)
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Add 15 tests across 5 test classes:
- TestTelegramClientInit (4 tests): disabled scenarios, enabled with credentials
- TestNotificationSending (6 tests): disabled mode, message format, API errors, timeouts, session management
- TestRateLimiting (1 test): rate limiter enforcement
- TestMessagePriorities (2 tests): priority emoji verification
- TestClientCleanup (2 tests): session cleanup

Uses pytest.mark.asyncio for async tests.
Mocks aiohttp responses with AsyncMock.
Follows test patterns from test_broker.py.

Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
2026-02-04 21:32:24 +09:00
628a572c70 Merge pull request 'feat: implement TelegramClient core module (issue #31)' (#36) from feature/issue-31-telegram-client into main
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2026-02-04 21:30:50 +09:00
agentson
73e1d0a54e feat: implement TelegramClient core module (issue #31)
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Add TelegramClient for real-time trading notifications:
- NotificationPriority enum (LOW/MEDIUM/HIGH/CRITICAL)
- LeakyBucket rate limiter (1 msg/sec)
- 8 notification methods (trade, circuit breaker, fat finger, market open/close, system start/shutdown, errors)
- Graceful degradation (optional API, never crashes)
- Session management pattern from KISBroker
- Comprehensive README with setup guide and troubleshooting

Follows NewsAPI pattern for optional APIs.
Uses existing aiohttp dependency.

Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
2026-02-04 21:29:46 +09:00
b111157dc8 Merge pull request 'feat: implement Sustainability - backup and disaster recovery (issue #23)' (#30) from feature/issue-23-sustainability into main
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Reviewed-on: #30
2026-02-04 19:44:24 +09:00
19 changed files with 4021 additions and 171 deletions

View File

@@ -16,8 +16,9 @@ CONFIDENCE_THRESHOLD=80
# Database # Database
DB_PATH=data/trade_logs.db DB_PATH=data/trade_logs.db
# Rate Limiting # Rate Limiting (requests per second for KIS API)
RATE_LIMIT_RPS=10.0 # Reduced to 5.0 to avoid "초당 거래건수 초과" errors (EGW00201)
RATE_LIMIT_RPS=5.0
# Trading Mode (paper / live) # Trading Mode (paper / live)
MODE=paper MODE=paper
@@ -26,3 +27,10 @@ MODE=paper
# NEWS_API_KEY=your_news_api_key_here # NEWS_API_KEY=your_news_api_key_here
# NEWS_API_PROVIDER=alphavantage # NEWS_API_PROVIDER=alphavantage
# MARKET_DATA_API_KEY=your_market_data_key_here # MARKET_DATA_API_KEY=your_market_data_key_here
# Telegram Notifications (optional)
# Get bot token from @BotFather on Telegram
# Get chat ID from @userinfobot or your chat
# TELEGRAM_BOT_TOKEN=1234567890:ABCdefGHIjklMNOpqrsTUVwxyz
# TELEGRAM_CHAT_ID=123456789
# TELEGRAM_ENABLED=true

View File

@@ -17,6 +17,34 @@ pytest -v --cov=src
python -m src.main --mode=paper python -m src.main --mode=paper
``` ```
## Telegram Notifications (Optional)
Get real-time alerts for trades, circuit breakers, and system events via Telegram.
### Quick Setup
1. **Create bot**: Message [@BotFather](https://t.me/BotFather) on Telegram → `/newbot`
2. **Get chat ID**: Message [@userinfobot](https://t.me/userinfobot) → `/start`
3. **Configure**: Add to `.env`:
```bash
TELEGRAM_BOT_TOKEN=1234567890:ABCdefGHIjklMNOpqrsTUVwxyz
TELEGRAM_CHAT_ID=123456789
TELEGRAM_ENABLED=true
```
4. **Test**: Start bot conversation (`/start`), then run the agent
**Full documentation**: [src/notifications/README.md](src/notifications/README.md)
### What You'll Get
- 🟢 Trade execution alerts (BUY/SELL with confidence)
- 🚨 Circuit breaker trips (automatic trading halt)
- ⚠️ Fat-finger rejections (oversized orders blocked)
- Market open/close notifications
- 📝 System startup/shutdown status
**Fail-safe**: Notifications never crash the trading system. Missing credentials or API errors are logged but trading continues normally.
## Documentation ## Documentation
- **[Workflow Guide](docs/workflow.md)** — Git workflow policy and agent-based development - **[Workflow Guide](docs/workflow.md)** — Git workflow policy and agent-based development
@@ -25,6 +53,7 @@ python -m src.main --mode=paper
- **[Context Tree](docs/context-tree.md)** — L1-L7 hierarchical memory system - **[Context Tree](docs/context-tree.md)** — L1-L7 hierarchical memory system
- **[Testing](docs/testing.md)** — Test structure, coverage requirements, writing tests - **[Testing](docs/testing.md)** — Test structure, coverage requirements, writing tests
- **[Agent Policies](docs/agents.md)** — Prime directives, constraints, prohibited actions - **[Agent Policies](docs/agents.md)** — Prime directives, constraints, prohibited actions
- **[Requirements Log](docs/requirements-log.md)** — User requirements and feedback tracking
## Core Principles ## Core Principles
@@ -33,6 +62,15 @@ python -m src.main --mode=paper
3. **Issue-Driven Development** — All work goes through Gitea issues → feature branches → PRs 3. **Issue-Driven Development** — All work goes through Gitea issues → feature branches → PRs
4. **Agent Specialization** — Use dedicated agents for design, coding, testing, docs, review 4. **Agent Specialization** — Use dedicated agents for design, coding, testing, docs, review
## Requirements Management
User requirements and feedback are tracked in [docs/requirements-log.md](docs/requirements-log.md):
- New requirements are added chronologically with dates
- Code changes should reference related requirements
- Helps maintain project evolution aligned with user needs
- Preserves context across conversations and development cycles
## Project Structure ## Project Structure
``` ```
@@ -42,11 +80,12 @@ src/
├── core/ # Risk manager (READ-ONLY) ├── core/ # Risk manager (READ-ONLY)
├── evolution/ # Self-improvement optimizer ├── evolution/ # Self-improvement optimizer
├── markets/ # Market schedules and timezone handling ├── markets/ # Market schedules and timezone handling
├── notifications/ # Telegram real-time alerts
├── db.py # SQLite trade logging ├── db.py # SQLite trade logging
├── main.py # Trading loop orchestrator ├── main.py # Trading loop orchestrator
└── config.py # Settings (from .env) └── config.py # Settings (from .env)
tests/ # 54 tests across 4 files tests/ # 273 tests across 13 files
docs/ # Extended documentation docs/ # Extended documentation
``` ```

View File

@@ -29,6 +29,7 @@ KIS(한국투자증권) API로 매매하고, Google Gemini로 판단하며, 자
| 브로커 | `src/broker/kis_api.py` | KIS API 비동기 래퍼 (토큰 갱신, 레이트 리미터, 해시키) | | 브로커 | `src/broker/kis_api.py` | KIS API 비동기 래퍼 (토큰 갱신, 레이트 리미터, 해시키) |
| 두뇌 | `src/brain/gemini_client.py` | Gemini 프롬프트 구성 및 JSON 응답 파싱 | | 두뇌 | `src/brain/gemini_client.py` | Gemini 프롬프트 구성 및 JSON 응답 파싱 |
| 방패 | `src/core/risk_manager.py` | 서킷 브레이커 + 팻 핑거 체크 | | 방패 | `src/core/risk_manager.py` | 서킷 브레이커 + 팻 핑거 체크 |
| 알림 | `src/notifications/telegram_client.py` | 텔레그램 실시간 거래 알림 (선택사항) |
| 진화 | `src/evolution/optimizer.py` | 실패 패턴 분석 → 새 전략 생성 → 테스트 → PR | | 진화 | `src/evolution/optimizer.py` | 실패 패턴 분석 → 새 전략 생성 → 테스트 → PR |
| DB | `src/db.py` | SQLite 거래 로그 기록 | | DB | `src/db.py` | SQLite 거래 로그 기록 |
@@ -75,6 +76,34 @@ python -m src.main --mode=paper
docker compose up -d ouroboros docker compose up -d ouroboros
``` ```
## 텔레그램 알림 (선택사항)
거래 실행, 서킷 브레이커 발동, 시스템 상태 등을 텔레그램으로 실시간 알림 받을 수 있습니다.
### 빠른 설정
1. **봇 생성**: 텔레그램에서 [@BotFather](https://t.me/BotFather) 메시지 → `/newbot` 명령
2. **채팅 ID 확인**: [@userinfobot](https://t.me/userinfobot) 메시지 → `/start` 명령
3. **환경변수 설정**: `.env` 파일에 추가
```bash
TELEGRAM_BOT_TOKEN=1234567890:ABCdefGHIjklMNOpqrsTUVwxyz
TELEGRAM_CHAT_ID=123456789
TELEGRAM_ENABLED=true
```
4. **테스트**: 봇과 대화 시작 (`/start` 전송) 후 에이전트 실행
**상세 문서**: [src/notifications/README.md](src/notifications/README.md)
### 알림 종류
- 🟢 거래 체결 알림 (BUY/SELL + 신뢰도)
- 🚨 서킷 브레이커 발동 (자동 거래 중단)
- ⚠️ 팻 핑거 차단 (과도한 주문 차단)
- 장 시작/종료 알림
- 📝 시스템 시작/종료 상태
**안전장치**: 알림 실패해도 거래는 계속 진행됩니다. 텔레그램 API 오류나 설정 누락이 있어도 거래 시스템은 정상 작동합니다.
## 테스트 ## 테스트
35개 테스트가 TDD 방식으로 구현 전에 먼저 작성되었습니다. 35개 테스트가 TDD 방식으로 구현 전에 먼저 작성되었습니다.
@@ -104,15 +133,16 @@ The-Ouroboros/
│ ├── agents.md # AI 에이전트 페르소나 정의 │ ├── agents.md # AI 에이전트 페르소나 정의
│ └── skills.md # 사용 가능한 도구 목록 │ └── skills.md # 사용 가능한 도구 목록
├── src/ ├── src/
│ ├── config.py # Pydantic 설정 │ ├── config.py # Pydantic 설정
│ ├── logging_config.py # JSON 구조화 로깅 │ ├── logging_config.py # JSON 구조화 로깅
│ ├── db.py # SQLite 거래 기록 │ ├── db.py # SQLite 거래 기록
│ ├── main.py # 비동기 거래 루프 │ ├── main.py # 비동기 거래 루프
│ ├── broker/kis_api.py # KIS API 클라이언트 │ ├── broker/kis_api.py # KIS API 클라이언트
│ ├── brain/gemini_client.py # Gemini 의사결정 엔진 │ ├── brain/gemini_client.py # Gemini 의사결정 엔진
│ ├── core/risk_manager.py # 리스크 관리 │ ├── core/risk_manager.py # 리스크 관리
│ ├── evolution/optimizer.py # 전략 진화 엔진 │ ├── notifications/telegram_client.py # 텔레그램 알림
── strategies/base.py # 전략 베이스 클래스 ── evolution/optimizer.py # 전략 진화 엔진
│ └── strategies/base.py # 전략 베이스 클래스
├── tests/ # TDD 테스트 스위트 ├── tests/ # TDD 테스트 스위트
├── Dockerfile # 멀티스테이지 빌드 ├── Dockerfile # 멀티스테이지 빌드
├── docker-compose.yml # 서비스 오케스트레이션 ├── docker-compose.yml # 서비스 오케스트레이션

View File

@@ -2,7 +2,42 @@
## Overview ## Overview
Self-evolving AI trading agent for global stock markets via KIS (Korea Investment & Securities) API. The main loop in `src/main.py` orchestrates four components in a 60-second cycle per stock across multiple markets. Self-evolving AI trading agent for global stock markets via KIS (Korea Investment & Securities) API. The main loop in `src/main.py` orchestrates four components across multiple markets with two trading modes: daily (batch API calls) or realtime (per-stock decisions).
## Trading Modes
The system supports two trading frequency modes controlled by the `TRADE_MODE` environment variable:
### Daily Mode (default)
Optimized for Gemini Free tier API limits (20 calls/day):
- **Batch decisions**: 1 API call per market per session
- **Fixed schedule**: 4 sessions per day at 6-hour intervals (configurable)
- **API efficiency**: Processes all stocks in a market simultaneously
- **Use case**: Free tier users, cost-conscious deployments
- **Configuration**:
```bash
TRADE_MODE=daily
DAILY_SESSIONS=4 # Sessions per day (1-10)
SESSION_INTERVAL_HOURS=6 # Hours between sessions (1-24)
```
**Example**: With 2 markets (US, KR) and 4 sessions/day = 8 API calls/day (within 20 call limit)
### Realtime Mode
High-frequency trading with individual stock analysis:
- **Per-stock decisions**: 1 API call per stock per cycle
- **60-second interval**: Continuous monitoring
- **Use case**: Production deployments with Gemini paid tier
- **Configuration**:
```bash
TRADE_MODE=realtime
```
**Note**: Realtime mode requires Gemini API subscription due to high call volume.
## Core Components ## Core Components
@@ -51,7 +86,26 @@ Self-evolving AI trading agent for global stock markets via KIS (Korea Investmen
- **Fat-Finger Protection**: Rejects orders exceeding 30% of available cash - **Fat-Finger Protection**: Rejects orders exceeding 30% of available cash
- Must always be enforced, cannot be disabled - Must always be enforced, cannot be disabled
### 4. Evolution (`src/evolution/optimizer.py`) ### 4. Notifications (`src/notifications/telegram_client.py`)
**TelegramClient** — Real-time event notifications via Telegram Bot API
- Sends alerts for trades, circuit breakers, fat-finger rejections, system events
- Non-blocking: failures are logged but never crash trading
- Rate-limited: 1 message/second default to respect Telegram API limits
- Auto-disabled when credentials missing
- Gracefully handles API errors, network timeouts, invalid tokens
**Notification Types:**
- Trade execution (BUY/SELL with confidence)
- Circuit breaker trips (critical alert)
- Fat-finger protection triggers (order rejection)
- Market open/close events
- System startup/shutdown status
**Setup:** See [src/notifications/README.md](../src/notifications/README.md) for bot creation and configuration.
### 5. Evolution (`src/evolution/optimizer.py`)
**StrategyOptimizer** — Self-improvement loop **StrategyOptimizer** — Self-improvement loop
@@ -115,6 +169,14 @@ Self-evolving AI trading agent for global stock markets via KIS (Korea Investmen
┌──────────────────────────────────┐ ┌──────────────────────────────────┐
│ Notifications: Send Alert │
│ - Trade execution notification │
│ - Non-blocking (errors logged) │
│ - Rate-limited to 1/sec │
└──────────────────┬────────────────┘
┌──────────────────────────────────┐
│ Database: Log Trade │ │ Database: Log Trade │
│ - SQLite (data/trades.db) │ │ - SQLite (data/trades.db) │
│ - Track: action, confidence, │ │ - Track: action, confidence, │
@@ -164,6 +226,16 @@ CONFIDENCE_THRESHOLD=80
MAX_LOSS_PCT=3.0 MAX_LOSS_PCT=3.0
MAX_ORDER_PCT=30.0 MAX_ORDER_PCT=30.0
ENABLED_MARKETS=KR,US_NASDAQ # Comma-separated market codes ENABLED_MARKETS=KR,US_NASDAQ # Comma-separated market codes
# Trading Mode (API efficiency)
TRADE_MODE=daily # daily | realtime
DAILY_SESSIONS=4 # Sessions per day (daily mode only)
SESSION_INTERVAL_HOURS=6 # Hours between sessions (daily mode only)
# Telegram Notifications (optional)
TELEGRAM_BOT_TOKEN=1234567890:ABCdefGHIjklMNOpqrsTUVwxyz
TELEGRAM_CHAT_ID=123456789
TELEGRAM_ENABLED=true
``` ```
Tests use in-memory SQLite (`DB_PATH=":memory:"`) and dummy credentials via `tests/conftest.py`. Tests use in-memory SQLite (`DB_PATH=":memory:"`) and dummy credentials via `tests/conftest.py`.
@@ -189,3 +261,12 @@ Tests use in-memory SQLite (`DB_PATH=":memory:"`) and dummy credentials via `tes
- Wait until next market opens - Wait until next market opens
- Use `get_next_market_open()` to calculate wait time - Use `get_next_market_open()` to calculate wait time
- Sleep until market open time - Sleep until market open time
### Telegram API Errors
- Log warning but continue trading
- Missing credentials → auto-disable notifications
- Network timeout → skip notification, no retry
- Invalid token → log error, trading unaffected
- Rate limit exceeded → queued via rate limiter
**Guarantee**: Notification failures never interrupt trading operations.

28
docs/requirements-log.md Normal file
View File

@@ -0,0 +1,28 @@
# Requirements Log
프로젝트 진화를 위한 사용자 요구사항 기록.
이 문서는 시간순으로 사용자와의 대화에서 나온 요구사항과 피드백을 기록합니다.
새로운 요구사항이 있으면 날짜와 함께 추가하세요.
---
## 2026-02-05
### API 효율화
- Gemini API는 귀중한 자원. 종목별 개별 호출 대신 배치 호출 필요
- Free tier 한도(20 calls/day) 고려하여 일일 몇 차례 거래 모드로 전환
- 배치 API 호출로 여러 종목을 한 번에 분석
### 거래 모드
- **Daily Mode**: 하루 4회 거래 세션 (6시간 간격) - Free tier 호환
- **Realtime Mode**: 60초 간격 실시간 거래 - 유료 구독 필요
- `TRADE_MODE` 환경변수로 모드 선택
### 진화 시스템
- 사용자 대화 내용을 문서로 기록하여 향후에도 의도 반영
- 프롬프트 품질 검증은 별도 이슈로 다룰 예정
### 문서화
- 시스템 구조, 기능별 설명 등 코드 문서화 항상 신경쓸 것
- 새로운 기능 추가 시 관련 문서 업데이트 필수

View File

@@ -42,6 +42,7 @@ class MarketScanner:
volatility_analyzer: VolatilityAnalyzer, volatility_analyzer: VolatilityAnalyzer,
context_store: ContextStore, context_store: ContextStore,
top_n: int = 5, top_n: int = 5,
max_concurrent_scans: int = 1,
) -> None: ) -> None:
"""Initialize the market scanner. """Initialize the market scanner.
@@ -51,12 +52,14 @@ class MarketScanner:
volatility_analyzer: Volatility analyzer instance volatility_analyzer: Volatility analyzer instance
context_store: Context store for L7 real-time data context_store: Context store for L7 real-time data
top_n: Number of top movers to return per market (default 5) top_n: Number of top movers to return per market (default 5)
max_concurrent_scans: Max concurrent stock scans (default 1, fully serialized)
""" """
self.broker = broker self.broker = broker
self.overseas_broker = overseas_broker self.overseas_broker = overseas_broker
self.analyzer = volatility_analyzer self.analyzer = volatility_analyzer
self.context_store = context_store self.context_store = context_store
self.top_n = top_n self.top_n = top_n
self._scan_semaphore = asyncio.Semaphore(max_concurrent_scans)
async def scan_stock( async def scan_stock(
self, self,
@@ -83,8 +86,8 @@ class MarketScanner:
# Convert to orderbook-like structure # Convert to orderbook-like structure
orderbook = { orderbook = {
"output1": { "output1": {
"stck_prpr": price_data.get("output", {}).get("last", "0"), "stck_prpr": price_data.get("output", {}).get("last", "0") or "0",
"acml_vol": price_data.get("output", {}).get("tvol", "0"), "acml_vol": price_data.get("output", {}).get("tvol", "0") or "0",
} }
} }
@@ -139,8 +142,12 @@ class MarketScanner:
logger.info("Scanning %s market (%d stocks)", market.name, len(stock_codes)) logger.info("Scanning %s market (%d stocks)", market.name, len(stock_codes))
# Scan all stocks concurrently (with rate limiting handled by broker) # Scan stocks with bounded concurrency to prevent API rate limit burst
tasks = [self.scan_stock(code, market) for code in stock_codes] async def _bounded_scan(code: str) -> VolatilityMetrics | None:
async with self._scan_semaphore:
return await self.scan_stock(code, market)
tasks = [_bounded_scan(code) for code in stock_codes]
results = await asyncio.gather(*tasks) results = await asyncio.gather(*tasks)
# Filter out failures and sort by momentum score # Filter out failures and sort by momentum score

View File

@@ -525,3 +525,233 @@ class GeminiClient:
DecisionCache instance or None if caching disabled DecisionCache instance or None if caching disabled
""" """
return self._cache return self._cache
# ------------------------------------------------------------------
# Batch Decision Making (for daily trading mode)
# ------------------------------------------------------------------
async def decide_batch(
self, stocks_data: list[dict[str, Any]]
) -> dict[str, TradeDecision]:
"""Make decisions for multiple stocks in a single API call.
This is designed for daily trading mode to minimize API usage
when working with Gemini Free tier (20 calls/day limit).
Args:
stocks_data: List of market data dictionaries, each with:
- stock_code: Stock ticker
- current_price: Current price
- market_name: Market name (optional)
- foreigner_net: Foreigner net buy/sell (optional)
Returns:
Dictionary mapping stock_code to TradeDecision
Example:
>>> stocks_data = [
... {"stock_code": "AAPL", "current_price": 185.5},
... {"stock_code": "MSFT", "current_price": 420.0},
... ]
>>> decisions = await client.decide_batch(stocks_data)
>>> decisions["AAPL"].action
'BUY'
"""
if not stocks_data:
return {}
# Build compressed batch prompt
market_name = stocks_data[0].get("market_name", "stock market")
# Format stock data as compact JSON array
compact_stocks = []
for stock in stocks_data:
compact = {
"code": stock["stock_code"],
"price": stock["current_price"],
}
if stock.get("foreigner_net", 0) != 0:
compact["frgn"] = stock["foreigner_net"]
compact_stocks.append(compact)
data_str = json.dumps(compact_stocks, ensure_ascii=False)
prompt = (
f"You are a professional {market_name} trading analyst.\n"
"Analyze the following stocks and decide whether to BUY, SELL, or HOLD each one.\n\n"
f"Stock Data: {data_str}\n\n"
"You MUST respond with ONLY a valid JSON array in this format:\n"
'[{"code": "AAPL", "action": "BUY", "confidence": 85, "rationale": "..."},\n'
' {"code": "MSFT", "action": "HOLD", "confidence": 50, "rationale": "..."}, ...]\n\n'
"Rules:\n"
"- Return one decision object per stock\n"
"- action must be exactly: BUY, SELL, or HOLD\n"
"- confidence must be 0-100\n"
"- rationale should be concise (1-2 sentences)\n"
"- Do NOT wrap JSON in markdown code blocks\n"
)
# Estimate tokens
token_count = self._optimizer.estimate_tokens(prompt)
self._total_tokens_used += token_count
logger.info(
"Requesting batch decision for %d stocks from Gemini",
len(stocks_data),
extra={"estimated_tokens": token_count},
)
try:
response = await self._client.aio.models.generate_content(
model=self._model_name,
contents=prompt,
)
raw = response.text
except Exception as exc:
logger.error("Gemini API error in batch decision: %s", exc)
# Return HOLD for all stocks on API error
return {
stock["stock_code"]: TradeDecision(
action="HOLD",
confidence=0,
rationale=f"API error: {exc}",
token_count=token_count,
cached=False,
)
for stock in stocks_data
}
# Parse batch response
return self._parse_batch_response(raw, stocks_data, token_count)
def _parse_batch_response(
self, raw: str, stocks_data: list[dict[str, Any]], token_count: int
) -> dict[str, TradeDecision]:
"""Parse batch response into a dictionary of decisions.
Args:
raw: Raw response from Gemini
stocks_data: Original stock data list
token_count: Token count for the request
Returns:
Dictionary mapping stock_code to TradeDecision
"""
if not raw or not raw.strip():
logger.warning("Empty batch response from Gemini — defaulting all to HOLD")
return {
stock["stock_code"]: TradeDecision(
action="HOLD",
confidence=0,
rationale="Empty response",
token_count=0,
cached=False,
)
for stock in stocks_data
}
# Strip markdown code fences if present
cleaned = raw.strip()
match = re.search(r"```(?:json)?\s*\n?(.*?)\n?```", cleaned, re.DOTALL)
if match:
cleaned = match.group(1).strip()
try:
data = json.loads(cleaned)
except json.JSONDecodeError:
logger.warning("Malformed JSON in batch response — defaulting all to HOLD")
return {
stock["stock_code"]: TradeDecision(
action="HOLD",
confidence=0,
rationale="Malformed JSON response",
token_count=0,
cached=False,
)
for stock in stocks_data
}
if not isinstance(data, list):
logger.warning("Batch response is not a JSON array — defaulting all to HOLD")
return {
stock["stock_code"]: TradeDecision(
action="HOLD",
confidence=0,
rationale="Invalid response format",
token_count=0,
cached=False,
)
for stock in stocks_data
}
# Build decision map
decisions: dict[str, TradeDecision] = {}
stock_codes = {stock["stock_code"] for stock in stocks_data}
for item in data:
if not isinstance(item, dict):
continue
code = item.get("code")
if not code or code not in stock_codes:
continue
# Validate required fields
if not all(k in item for k in ("action", "confidence", "rationale")):
logger.warning("Missing fields for %s — using HOLD", code)
decisions[code] = TradeDecision(
action="HOLD",
confidence=0,
rationale="Missing required fields",
token_count=0,
cached=False,
)
continue
action = str(item["action"]).upper()
if action not in VALID_ACTIONS:
logger.warning("Invalid action '%s' for %s — forcing HOLD", action, code)
action = "HOLD"
confidence = int(item["confidence"])
rationale = str(item["rationale"])
# Enforce confidence threshold
if confidence < self._confidence_threshold:
logger.info(
"Confidence %d < threshold %d for %s — forcing HOLD",
confidence,
self._confidence_threshold,
code,
)
action = "HOLD"
decisions[code] = TradeDecision(
action=action,
confidence=confidence,
rationale=rationale,
token_count=token_count // len(stocks_data), # Split token cost
cached=False,
)
self._total_decisions += 1
# Fill in missing stocks with HOLD
for stock in stocks_data:
code = stock["stock_code"]
if code not in decisions:
logger.warning("No decision for %s in batch response — using HOLD", code)
decisions[code] = TradeDecision(
action="HOLD",
confidence=0,
rationale="Not found in batch response",
token_count=0,
cached=False,
)
logger.info(
"Batch decision completed for %d stocks",
len(decisions),
extra={"tokens": token_count},
)
return decisions

View File

@@ -55,6 +55,9 @@ class KISBroker:
self._session: aiohttp.ClientSession | None = None self._session: aiohttp.ClientSession | None = None
self._access_token: str | None = None self._access_token: str | None = None
self._token_expires_at: float = 0.0 self._token_expires_at: float = 0.0
self._token_lock = asyncio.Lock()
self._last_refresh_attempt: float = 0.0
self._refresh_cooldown: float = 60.0 # Seconds (matches KIS 1/minute limit)
self._rate_limiter = LeakyBucket(settings.RATE_LIMIT_RPS) self._rate_limiter = LeakyBucket(settings.RATE_LIMIT_RPS)
def _get_session(self) -> aiohttp.ClientSession: def _get_session(self) -> aiohttp.ClientSession:
@@ -80,30 +83,54 @@ class KISBroker:
# ------------------------------------------------------------------ # ------------------------------------------------------------------
async def _ensure_token(self) -> str: async def _ensure_token(self) -> str:
"""Return a valid access token, refreshing if expired.""" """Return a valid access token, refreshing if expired.
Uses a lock to prevent concurrent token refresh attempts that would
hit the API's 1-per-minute rate limit (EGW00133).
"""
# Fast path: check without lock
now = asyncio.get_event_loop().time() now = asyncio.get_event_loop().time()
if self._access_token and now < self._token_expires_at: if self._access_token and now < self._token_expires_at:
return self._access_token return self._access_token
logger.info("Refreshing KIS access token") # Slow path: acquire lock and refresh
session = self._get_session() async with self._token_lock:
url = f"{self._base_url}/oauth2/tokenP" # Re-check after acquiring lock (another coroutine may have refreshed)
body = { now = asyncio.get_event_loop().time()
"grant_type": "client_credentials", if self._access_token and now < self._token_expires_at:
"appkey": self._app_key, return self._access_token
"appsecret": self._app_secret,
}
async with session.post(url, json=body) as resp: # Check cooldown period (prevents hitting EGW00133: 1/minute limit)
if resp.status != 200: time_since_last_attempt = now - self._last_refresh_attempt
text = await resp.text() if time_since_last_attempt < self._refresh_cooldown:
raise ConnectionError(f"Token refresh failed ({resp.status}): {text}") remaining = self._refresh_cooldown - time_since_last_attempt
data = await resp.json() error_msg = (
f"Token refresh on cooldown. "
f"Retry in {remaining:.1f}s (KIS allows 1/minute)"
)
logger.warning(error_msg)
raise ConnectionError(error_msg)
self._access_token = data["access_token"] logger.info("Refreshing KIS access token")
self._token_expires_at = now + data.get("expires_in", 86400) - 60 # 1-min buffer self._last_refresh_attempt = now
logger.info("Token refreshed successfully") session = self._get_session()
return self._access_token url = f"{self._base_url}/oauth2/tokenP"
body = {
"grant_type": "client_credentials",
"appkey": self._app_key,
"appsecret": self._app_secret,
}
async with session.post(url, json=body) as resp:
if resp.status != 200:
text = await resp.text()
raise ConnectionError(f"Token refresh failed ({resp.status}): {text}")
data = await resp.json()
self._access_token = data["access_token"]
self._token_expires_at = now + data.get("expires_in", 86400) - 60 # 1-min buffer
logger.info("Token refreshed successfully")
return self._access_token
# ------------------------------------------------------------------ # ------------------------------------------------------------------
# Hash Key (required for POST bodies) # Hash Key (required for POST bodies)
@@ -111,6 +138,7 @@ class KISBroker:
async def _get_hash_key(self, body: dict[str, Any]) -> str: async def _get_hash_key(self, body: dict[str, Any]) -> str:
"""Request a hash key from KIS for POST request body signing.""" """Request a hash key from KIS for POST request body signing."""
await self._rate_limiter.acquire()
session = self._get_session() session = self._get_session()
url = f"{self._base_url}/uapi/hashkey" url = f"{self._base_url}/uapi/hashkey"
headers = { headers = {

View File

@@ -37,11 +37,18 @@ class Settings(BaseSettings):
DB_PATH: str = "data/trade_logs.db" DB_PATH: str = "data/trade_logs.db"
# Rate Limiting (requests per second for KIS API) # Rate Limiting (requests per second for KIS API)
RATE_LIMIT_RPS: float = 10.0 # Conservative limit to avoid EGW00201 "초당 거래건수 초과" errors.
# KIS API real limit is ~2 RPS; 2.0 provides maximum safety.
RATE_LIMIT_RPS: float = 2.0
# Trading mode # Trading mode
MODE: str = Field(default="paper", pattern="^(paper|live)$") MODE: str = Field(default="paper", pattern="^(paper|live)$")
# Trading frequency mode (daily = batch API calls, realtime = per-stock calls)
TRADE_MODE: str = Field(default="daily", pattern="^(daily|realtime)$")
DAILY_SESSIONS: int = Field(default=4, ge=1, le=10)
SESSION_INTERVAL_HOURS: int = Field(default=6, ge=1, le=24)
# Market selection (comma-separated market codes) # Market selection (comma-separated market codes)
ENABLED_MARKETS: str = "KR" ENABLED_MARKETS: str = "KR"
@@ -54,6 +61,11 @@ class Settings(BaseSettings):
S3_BUCKET_NAME: str | None = None S3_BUCKET_NAME: str | None = None
S3_REGION: str = "us-east-1" S3_REGION: str = "us-east-1"
# Telegram Notifications (optional)
TELEGRAM_BOT_TOKEN: str | None = None
TELEGRAM_CHAT_ID: str | None = None
TELEGRAM_ENABLED: bool = True
model_config = {"env_file": ".env", "env_file_encoding": "utf-8"} model_config = {"env_file": ".env", "env_file_encoding": "utf-8"}
@property @property

View File

@@ -10,6 +10,7 @@ import argparse
import asyncio import asyncio
import logging import logging
import signal import signal
import sys
from datetime import UTC, datetime from datetime import UTC, datetime
from typing import Any from typing import Any
@@ -23,14 +24,44 @@ from src.context.layer import ContextLayer
from src.context.store import ContextStore from src.context.store import ContextStore
from src.core.criticality import CriticalityAssessor from src.core.criticality import CriticalityAssessor
from src.core.priority_queue import PriorityTaskQueue from src.core.priority_queue import PriorityTaskQueue
from src.core.risk_manager import CircuitBreakerTripped, RiskManager from src.core.risk_manager import CircuitBreakerTripped, FatFingerRejected, RiskManager
from src.db import init_db, log_trade from src.db import init_db, log_trade
from src.logging.decision_logger import DecisionLogger from src.logging.decision_logger import DecisionLogger
from src.logging_config import setup_logging from src.logging_config import setup_logging
from src.markets.schedule import MarketInfo, get_next_market_open, get_open_markets from src.markets.schedule import MarketInfo, get_next_market_open, get_open_markets
from src.notifications.telegram_client import TelegramClient, TelegramCommandHandler
logger = logging.getLogger(__name__) logger = logging.getLogger(__name__)
def safe_float(value: str | float | None, default: float = 0.0) -> float:
"""Convert to float, handling empty strings and None.
Args:
value: Value to convert (string, float, or None)
default: Default value if conversion fails
Returns:
Converted float or default value
Examples:
>>> safe_float("123.45")
123.45
>>> safe_float("")
0.0
>>> safe_float(None)
0.0
>>> safe_float("invalid", 99.0)
99.0
"""
if value is None or value == "":
return default
try:
return float(value)
except (ValueError, TypeError):
return default
# Target stock codes to monitor per market # Target stock codes to monitor per market
WATCHLISTS = { WATCHLISTS = {
"KR": ["005930", "000660", "035420"], # Samsung, SK Hynix, NAVER "KR": ["005930", "000660", "035420"], # Samsung, SK Hynix, NAVER
@@ -43,6 +74,10 @@ TRADE_INTERVAL_SECONDS = 60
SCAN_INTERVAL_SECONDS = 60 # Scan markets every 60 seconds SCAN_INTERVAL_SECONDS = 60 # Scan markets every 60 seconds
MAX_CONNECTION_RETRIES = 3 MAX_CONNECTION_RETRIES = 3
# Daily trading mode constants (for Free tier API efficiency)
DAILY_TRADE_SESSIONS = 4 # Number of trading sessions per day
TRADE_SESSION_INTERVAL_HOURS = 6 # Hours between sessions
# Full stock universe per market (for scanning) # Full stock universe per market (for scanning)
# In production, this would be loaded from a database or API # In production, this would be loaded from a database or API
STOCK_UNIVERSE = { STOCK_UNIVERSE = {
@@ -62,6 +97,7 @@ async def trading_cycle(
decision_logger: DecisionLogger, decision_logger: DecisionLogger,
context_store: ContextStore, context_store: ContextStore,
criticality_assessor: CriticalityAssessor, criticality_assessor: CriticalityAssessor,
telegram: TelegramClient,
market: MarketInfo, market: MarketInfo,
stock_code: str, stock_code: str,
) -> None: ) -> None:
@@ -74,16 +110,16 @@ async def trading_cycle(
balance_data = await broker.get_balance() balance_data = await broker.get_balance()
output2 = balance_data.get("output2", [{}]) output2 = balance_data.get("output2", [{}])
total_eval = float(output2[0].get("tot_evlu_amt", "0")) if output2 else 0 total_eval = safe_float(output2[0].get("tot_evlu_amt", "0")) if output2 else 0
total_cash = float( total_cash = safe_float(
balance_data.get("output2", [{}])[0].get("dnca_tot_amt", "0") balance_data.get("output2", [{}])[0].get("dnca_tot_amt", "0")
if output2 if output2
else "0" else "0"
) )
purchase_total = float(output2[0].get("pchs_amt_smtl_amt", "0")) if output2 else 0 purchase_total = safe_float(output2[0].get("pchs_amt_smtl_amt", "0")) if output2 else 0
current_price = float(orderbook.get("output1", {}).get("stck_prpr", "0")) current_price = safe_float(orderbook.get("output1", {}).get("stck_prpr", "0"))
foreigner_net = float(orderbook.get("output1", {}).get("frgn_ntby_qty", "0")) foreigner_net = safe_float(orderbook.get("output1", {}).get("frgn_ntby_qty", "0"))
else: else:
# Overseas market # Overseas market
price_data = await overseas_broker.get_overseas_price( price_data = await overseas_broker.get_overseas_price(
@@ -92,11 +128,19 @@ async def trading_cycle(
balance_data = await overseas_broker.get_overseas_balance(market.exchange_code) balance_data = await overseas_broker.get_overseas_balance(market.exchange_code)
output2 = balance_data.get("output2", [{}]) output2 = balance_data.get("output2", [{}])
total_eval = float(output2[0].get("frcr_evlu_tota", "0")) if output2 else 0 # Handle both list and dict response formats
total_cash = float(output2[0].get("frcr_dncl_amt_2", "0")) if output2 else 0 if isinstance(output2, list) and output2:
purchase_total = float(output2[0].get("frcr_buy_amt_smtl", "0")) if output2 else 0 balance_info = output2[0]
elif isinstance(output2, dict):
balance_info = output2
else:
balance_info = {}
current_price = float(price_data.get("output", {}).get("last", "0")) total_eval = safe_float(balance_info.get("frcr_evlu_tota", "0") or "0")
total_cash = safe_float(balance_info.get("frcr_dncl_amt_2", "0") or "0")
purchase_total = safe_float(balance_info.get("frcr_buy_amt_smtl", "0") or "0")
current_price = safe_float(price_data.get("output", {}).get("last", "0"))
foreigner_net = 0.0 # Not available for overseas foreigner_net = 0.0 # Not available for overseas
# Calculate daily P&L % # Calculate daily P&L %
@@ -199,11 +243,23 @@ async def trading_cycle(
order_amount = current_price * quantity order_amount = current_price * quantity
# 4. Risk check BEFORE order # 4. Risk check BEFORE order
risk.validate_order( try:
current_pnl_pct=pnl_pct, risk.validate_order(
order_amount=order_amount, current_pnl_pct=pnl_pct,
total_cash=total_cash, order_amount=order_amount,
) total_cash=total_cash,
)
except FatFingerRejected as exc:
try:
await telegram.notify_fat_finger(
stock_code=stock_code,
order_amount=exc.order_amount,
total_cash=exc.total_cash,
max_pct=exc.max_pct,
)
except Exception as notify_exc:
logger.warning("Fat finger notification failed: %s", notify_exc)
raise # Re-raise to prevent trade
# 5. Send order # 5. Send order
if market.is_domestic: if market.is_domestic:
@@ -223,6 +279,19 @@ async def trading_cycle(
) )
logger.info("Order result: %s", result.get("msg1", "OK")) logger.info("Order result: %s", result.get("msg1", "OK"))
# 5.5. Notify trade execution
try:
await telegram.notify_trade_execution(
stock_code=stock_code,
market=market.name,
action=decision.action,
quantity=quantity,
price=current_price,
confidence=decision.confidence,
)
except Exception as exc:
logger.warning("Telegram notification failed: %s", exc)
# 6. Log trade # 6. Log trade
log_trade( log_trade(
conn=db_conn, conn=db_conn,
@@ -256,6 +325,239 @@ async def trading_cycle(
) )
async def run_daily_session(
broker: KISBroker,
overseas_broker: OverseasBroker,
brain: GeminiClient,
risk: RiskManager,
db_conn: Any,
decision_logger: DecisionLogger,
context_store: ContextStore,
criticality_assessor: CriticalityAssessor,
telegram: TelegramClient,
settings: Settings,
) -> None:
"""Execute one daily trading session.
Designed for API efficiency with Gemini Free tier:
- Batch decision making (1 API call per market)
- Runs N times per day at fixed intervals
- Minimizes API usage while maintaining trading capability
"""
# Get currently open markets
open_markets = get_open_markets(settings.enabled_market_list)
if not open_markets:
logger.info("No markets open for this session")
return
logger.info("Starting daily trading session for %d markets", len(open_markets))
# Process each open market
for market in open_markets:
# Get watchlist for this market
watchlist = WATCHLISTS.get(market.code, [])
if not watchlist:
logger.debug("No watchlist for market %s", market.code)
continue
logger.info("Processing market: %s (%d stocks)", market.name, len(watchlist))
# Collect market data for all stocks in the watchlist
stocks_data = []
for stock_code in watchlist:
try:
if market.is_domestic:
orderbook = await broker.get_orderbook(stock_code)
current_price = safe_float(orderbook.get("output1", {}).get("stck_prpr", "0"))
foreigner_net = safe_float(
orderbook.get("output1", {}).get("frgn_ntby_qty", "0")
)
else:
price_data = await overseas_broker.get_overseas_price(
market.exchange_code, stock_code
)
current_price = safe_float(price_data.get("output", {}).get("last", "0"))
foreigner_net = 0.0
stocks_data.append(
{
"stock_code": stock_code,
"market_name": market.name,
"current_price": current_price,
"foreigner_net": foreigner_net,
}
)
except Exception as exc:
logger.error("Failed to fetch data for %s: %s", stock_code, exc)
continue
if not stocks_data:
logger.warning("No valid stock data for market %s", market.code)
continue
# Get batch decisions (1 API call for all stocks in this market)
logger.info("Requesting batch decision for %d stocks in %s", len(stocks_data), market.name)
decisions = await brain.decide_batch(stocks_data)
# Get balance data once for the market
if market.is_domestic:
balance_data = await broker.get_balance()
output2 = balance_data.get("output2", [{}])
total_eval = safe_float(output2[0].get("tot_evlu_amt", "0")) if output2 else 0
total_cash = safe_float(output2[0].get("dnca_tot_amt", "0")) if output2 else 0
purchase_total = safe_float(output2[0].get("pchs_amt_smtl_amt", "0")) if output2 else 0
else:
balance_data = await overseas_broker.get_overseas_balance(market.exchange_code)
output2 = balance_data.get("output2", [{}])
if isinstance(output2, list) and output2:
balance_info = output2[0]
elif isinstance(output2, dict):
balance_info = output2
else:
balance_info = {}
total_eval = safe_float(balance_info.get("frcr_evlu_tota", "0") or "0")
total_cash = safe_float(balance_info.get("frcr_dncl_amt_2", "0") or "0")
purchase_total = safe_float(balance_info.get("frcr_buy_amt_smtl", "0") or "0")
# Calculate daily P&L %
pnl_pct = (
((total_eval - purchase_total) / purchase_total * 100) if purchase_total > 0 else 0.0
)
# Execute decisions for each stock
for stock_data in stocks_data:
stock_code = stock_data["stock_code"]
decision = decisions.get(stock_code)
if not decision:
logger.warning("No decision for %s — skipping", stock_code)
continue
logger.info(
"Decision for %s (%s): %s (confidence=%d)",
stock_code,
market.name,
decision.action,
decision.confidence,
)
# Log decision
context_snapshot = {
"L1": {
"current_price": stock_data["current_price"],
"foreigner_net": stock_data["foreigner_net"],
},
"L2": {
"total_eval": total_eval,
"total_cash": total_cash,
"purchase_total": purchase_total,
"pnl_pct": pnl_pct,
},
}
input_data = {
"current_price": stock_data["current_price"],
"foreigner_net": stock_data["foreigner_net"],
"total_eval": total_eval,
"total_cash": total_cash,
"pnl_pct": pnl_pct,
}
decision_logger.log_decision(
stock_code=stock_code,
market=market.code,
exchange_code=market.exchange_code,
action=decision.action,
confidence=decision.confidence,
rationale=decision.rationale,
context_snapshot=context_snapshot,
input_data=input_data,
)
# Execute if actionable
if decision.action in ("BUY", "SELL"):
quantity = 1
order_amount = stock_data["current_price"] * quantity
# Risk check
try:
risk.validate_order(
current_pnl_pct=pnl_pct,
order_amount=order_amount,
total_cash=total_cash,
)
except FatFingerRejected as exc:
try:
await telegram.notify_fat_finger(
stock_code=stock_code,
order_amount=exc.order_amount,
total_cash=exc.total_cash,
max_pct=exc.max_pct,
)
except Exception as notify_exc:
logger.warning("Fat finger notification failed: %s", notify_exc)
continue # Skip this order
except CircuitBreakerTripped as exc:
logger.critical("Circuit breaker tripped — stopping session")
try:
await telegram.notify_circuit_breaker(
pnl_pct=exc.pnl_pct,
threshold=exc.threshold,
)
except Exception as notify_exc:
logger.warning("Circuit breaker notification failed: %s", notify_exc)
raise
# Send order
try:
if market.is_domestic:
result = await broker.send_order(
stock_code=stock_code,
order_type=decision.action,
quantity=quantity,
price=0, # market order
)
else:
result = await overseas_broker.send_overseas_order(
exchange_code=market.exchange_code,
stock_code=stock_code,
order_type=decision.action,
quantity=quantity,
price=0.0, # market order
)
logger.info("Order result: %s", result.get("msg1", "OK"))
# Notify trade execution
try:
await telegram.notify_trade_execution(
stock_code=stock_code,
market=market.name,
action=decision.action,
quantity=quantity,
price=stock_data["current_price"],
confidence=decision.confidence,
)
except Exception as exc:
logger.warning("Telegram notification failed: %s", exc)
except Exception as exc:
logger.error("Order execution failed for %s: %s", stock_code, exc)
continue
# Log trade
log_trade(
conn=db_conn,
stock_code=stock_code,
action=decision.action,
confidence=decision.confidence,
rationale=decision.rationale,
market=market.code,
exchange_code=market.exchange_code,
)
logger.info("Daily trading session completed")
async def run(settings: Settings) -> None: async def run(settings: Settings) -> None:
"""Main async loop — iterate over open markets on a timer.""" """Main async loop — iterate over open markets on a timer."""
broker = KISBroker(settings) broker = KISBroker(settings)
@@ -266,6 +568,151 @@ async def run(settings: Settings) -> None:
decision_logger = DecisionLogger(db_conn) decision_logger = DecisionLogger(db_conn)
context_store = ContextStore(db_conn) context_store = ContextStore(db_conn)
# Initialize Telegram notifications
telegram = TelegramClient(
bot_token=settings.TELEGRAM_BOT_TOKEN,
chat_id=settings.TELEGRAM_CHAT_ID,
enabled=settings.TELEGRAM_ENABLED,
)
# Initialize Telegram command handler
command_handler = TelegramCommandHandler(telegram)
# Register basic commands
async def handle_help() -> None:
"""Handle /help command."""
message = (
"<b>📖 Available Commands</b>\n\n"
"/help - Show available commands\n"
"/status - Trading status (mode, markets, P&L)\n"
"/positions - Current holdings\n"
"/stop - Pause trading\n"
"/resume - Resume trading"
)
await telegram.send_message(message)
async def handle_stop() -> None:
"""Handle /stop command - pause trading."""
if not pause_trading.is_set():
await telegram.send_message("⏸️ Trading is already paused")
return
pause_trading.clear()
logger.info("Trading paused via Telegram command")
await telegram.send_message(
"<b>⏸️ Trading Paused</b>\n\n"
"All trading operations have been suspended.\n"
"Use /resume to restart trading."
)
async def handle_resume() -> None:
"""Handle /resume command - resume trading."""
if pause_trading.is_set():
await telegram.send_message("▶️ Trading is already active")
return
pause_trading.set()
logger.info("Trading resumed via Telegram command")
await telegram.send_message(
"<b>▶️ Trading Resumed</b>\n\n"
"Trading operations have been restarted."
)
async def handle_status() -> None:
"""Handle /status command - show trading status."""
try:
# Get trading status
trading_status = "Active" if pause_trading.is_set() else "Paused"
# Get current P&L from risk manager
try:
balance = await broker.get_balance()
current_pnl = risk.calculate_pnl(balance)
pnl_str = f"{current_pnl:+.2f}%"
except Exception as exc:
logger.warning("Failed to get P&L: %s", exc)
pnl_str = "N/A"
# Format market list
markets_str = ", ".join(settings.enabled_market_list)
message = (
"<b>📊 Trading Status</b>\n\n"
f"<b>Mode:</b> {settings.MODE.upper()}\n"
f"<b>Markets:</b> {markets_str}\n"
f"<b>Trading:</b> {trading_status}\n\n"
f"<b>Current P&L:</b> {pnl_str}\n"
f"<b>Circuit Breaker:</b> {risk.circuit_breaker_threshold:.1f}%"
)
await telegram.send_message(message)
except Exception as exc:
logger.error("Error in /status handler: %s", exc)
await telegram.send_message(
"<b>⚠️ Error</b>\n\nFailed to retrieve trading status."
)
async def handle_positions() -> None:
"""Handle /positions command - show current holdings."""
try:
# Get account balance
balance = await broker.get_balance()
# Check if there are any positions
if not balance.stocks:
await telegram.send_message(
"<b>💼 Current Holdings</b>\n\n"
"No positions currently held."
)
return
# Group positions by market (domestic vs overseas)
domestic_positions = []
overseas_positions = []
for stock in balance.stocks:
position_str = (
f"{stock.code}: {stock.quantity} shares @ "
f"{stock.avg_price:,.0f}"
)
# Simple heuristic: if code is 6 digits, it's domestic (Korea)
if len(stock.code) == 6 and stock.code.isdigit():
domestic_positions.append(position_str)
else:
overseas_positions.append(position_str)
# Build message
message_parts = ["<b>💼 Current Holdings</b>\n"]
if domestic_positions:
message_parts.append("\n🇰🇷 <b>Korea</b>")
message_parts.extend(domestic_positions)
if overseas_positions:
message_parts.append("\n🇺🇸 <b>Overseas</b>")
message_parts.extend(overseas_positions)
# Add total cash
message_parts.append(
f"\n<b>Cash:</b> ₩{balance.total_cash:,.0f}"
)
message = "\n".join(message_parts)
await telegram.send_message(message)
except Exception as exc:
logger.error("Error in /positions handler: %s", exc)
await telegram.send_message(
"<b>⚠️ Error</b>\n\nFailed to retrieve positions."
)
command_handler.register_command("help", handle_help)
command_handler.register_command("stop", handle_stop)
command_handler.register_command("resume", handle_resume)
command_handler.register_command("status", handle_status)
command_handler.register_command("positions", handle_positions)
# Initialize volatility hunter # Initialize volatility hunter
volatility_analyzer = VolatilityAnalyzer(min_volume_surge=2.0, min_price_change=1.0) volatility_analyzer = VolatilityAnalyzer(min_volume_surge=2.0, min_price_change=1.0)
market_scanner = MarketScanner( market_scanner = MarketScanner(
@@ -274,6 +721,7 @@ async def run(settings: Settings) -> None:
volatility_analyzer=volatility_analyzer, volatility_analyzer=volatility_analyzer,
context_store=context_store, context_store=context_store,
top_n=5, top_n=5,
max_concurrent_scans=1, # Fully serialized to avoid EGW00201
) )
# Initialize latency control system # Initialize latency control system
@@ -289,7 +737,13 @@ async def run(settings: Settings) -> None:
# Track last scan time for each market # Track last scan time for each market
last_scan_time: dict[str, float] = {} last_scan_time: dict[str, float] = {}
# Track market open/close state for notifications
_market_states: dict[str, bool] = {} # market_code -> is_open
# Trading control events
shutdown = asyncio.Event() shutdown = asyncio.Event()
pause_trading = asyncio.Event()
pause_trading.set() # Default: trading enabled
def _signal_handler() -> None: def _signal_handler() -> None:
logger.info("Shutdown signal received") logger.info("Shutdown signal received")
@@ -299,145 +753,240 @@ async def run(settings: Settings) -> None:
for sig in (signal.SIGINT, signal.SIGTERM): for sig in (signal.SIGINT, signal.SIGTERM):
loop.add_signal_handler(sig, _signal_handler) loop.add_signal_handler(sig, _signal_handler)
logger.info("The Ouroboros is alive. Mode: %s", settings.MODE) logger.info("The Ouroboros is alive. Mode: %s, Trading: %s", settings.MODE, settings.TRADE_MODE)
logger.info("Enabled markets: %s", settings.enabled_market_list) logger.info("Enabled markets: %s", settings.enabled_market_list)
# Notify system startup
try: try:
while not shutdown.is_set(): await telegram.notify_system_start(settings.MODE, settings.enabled_market_list)
# Get currently open markets except Exception as exc:
open_markets = get_open_markets(settings.enabled_market_list) logger.warning("System startup notification failed: %s", exc)
# Start command handler
try:
await command_handler.start_polling()
except Exception as exc:
logger.warning("Failed to start command handler: %s", exc)
try:
# Branch based on trading mode
if settings.TRADE_MODE == "daily":
# Daily trading mode: batch decisions at fixed intervals
logger.info(
"Daily trading mode: %d sessions every %d hours",
settings.DAILY_SESSIONS,
settings.SESSION_INTERVAL_HOURS,
)
session_interval = settings.SESSION_INTERVAL_HOURS * 3600 # Convert to seconds
while not shutdown.is_set():
# Wait for trading to be unpaused
await pause_trading.wait()
if not open_markets:
# No markets open — wait until next market opens
try: try:
next_market, next_open_time = get_next_market_open( await run_daily_session(
settings.enabled_market_list broker,
overseas_broker,
brain,
risk,
db_conn,
decision_logger,
context_store,
criticality_assessor,
telegram,
settings,
) )
now = datetime.now(UTC) except CircuitBreakerTripped:
wait_seconds = (next_open_time - now).total_seconds() logger.critical("Circuit breaker tripped — shutting down")
logger.info( shutdown.set()
"No markets open. Next market: %s, opens in %.1f hours",
next_market.name,
wait_seconds / 3600,
)
await asyncio.wait_for(shutdown.wait(), timeout=wait_seconds)
except TimeoutError:
continue # Market should be open now
except ValueError as exc:
logger.error("Failed to find next market open: %s", exc)
await asyncio.sleep(TRADE_INTERVAL_SECONDS)
continue
# Process each open market
for market in open_markets:
if shutdown.is_set():
break break
except Exception as exc:
logger.exception("Daily session error: %s", exc)
# Volatility Hunter: Scan market periodically to update watchlist # Wait for next session or shutdown
now_timestamp = asyncio.get_event_loop().time() logger.info("Next session in %.1f hours", session_interval / 3600)
last_scan = last_scan_time.get(market.code, 0.0) try:
if now_timestamp - last_scan >= SCAN_INTERVAL_SECONDS: await asyncio.wait_for(shutdown.wait(), timeout=session_interval)
except TimeoutError:
pass # Normal — time for next session
else:
# Realtime trading mode: original per-stock loop
logger.info("Realtime trading mode: 60s interval per stock")
while not shutdown.is_set():
# Wait for trading to be unpaused
await pause_trading.wait()
# Get currently open markets
open_markets = get_open_markets(settings.enabled_market_list)
if not open_markets:
# Notify market close for any markets that were open
for market_code, is_open in list(_market_states.items()):
if is_open:
try:
from src.markets.schedule import MARKETS
market_info = MARKETS.get(market_code)
if market_info:
await telegram.notify_market_close(market_info.name, 0.0)
except Exception as exc:
logger.warning("Market close notification failed: %s", exc)
_market_states[market_code] = False
# No markets open — wait until next market opens
try: try:
# Scan all stocks in the universe next_market, next_open_time = get_next_market_open(
stock_universe = STOCK_UNIVERSE.get(market.code, []) settings.enabled_market_list
if stock_universe: )
logger.info("Volatility Hunter: Scanning %s market", market.name) now = datetime.now(UTC)
scan_result = await market_scanner.scan_market( wait_seconds = (next_open_time - now).total_seconds()
market, stock_universe logger.info(
) "No markets open. Next market: %s, opens in %.1f hours",
next_market.name,
# Update watchlist with top movers wait_seconds / 3600,
current_watchlist = WATCHLISTS.get(market.code, []) )
updated_watchlist = market_scanner.get_updated_watchlist( await asyncio.wait_for(shutdown.wait(), timeout=wait_seconds)
current_watchlist, except TimeoutError:
scan_result, continue # Market should be open now
max_replacements=2, except ValueError as exc:
) logger.error("Failed to find next market open: %s", exc)
WATCHLISTS[market.code] = updated_watchlist await asyncio.sleep(TRADE_INTERVAL_SECONDS)
logger.info(
"Volatility Hunter: Watchlist updated for %s (%d top movers, %d breakouts)",
market.name,
len(scan_result.top_movers),
len(scan_result.breakouts),
)
last_scan_time[market.code] = now_timestamp
except Exception as exc:
logger.error("Volatility Hunter scan failed for %s: %s", market.name, exc)
# Get watchlist for this market
watchlist = WATCHLISTS.get(market.code, [])
if not watchlist:
logger.debug("No watchlist for market %s", market.code)
continue continue
logger.info("Processing market: %s (%d stocks)", market.name, len(watchlist)) # Process each open market
for market in open_markets:
# Process each stock in the watchlist
for stock_code in watchlist:
if shutdown.is_set(): if shutdown.is_set():
break break
# Retry logic for connection errors # Notify market open if it just opened
for attempt in range(1, MAX_CONNECTION_RETRIES + 1): if not _market_states.get(market.code, False):
try: try:
await trading_cycle( await telegram.notify_market_open(market.name)
broker,
overseas_broker,
brain,
risk,
db_conn,
decision_logger,
context_store,
criticality_assessor,
market,
stock_code,
)
break # Success — exit retry loop
except CircuitBreakerTripped:
logger.critical("Circuit breaker tripped — shutting down")
raise
except ConnectionError as exc:
if attempt < MAX_CONNECTION_RETRIES:
logger.warning(
"Connection error for %s (attempt %d/%d): %s",
stock_code,
attempt,
MAX_CONNECTION_RETRIES,
exc,
)
await asyncio.sleep(2**attempt) # Exponential backoff
else:
logger.error(
"Connection error for %s (all retries exhausted): %s",
stock_code,
exc,
)
break # Give up on this stock
except Exception as exc: except Exception as exc:
logger.exception("Unexpected error for %s: %s", stock_code, exc) logger.warning("Market open notification failed: %s", exc)
break # Don't retry on unexpected errors _market_states[market.code] = True
# Log priority queue metrics periodically # Volatility Hunter: Scan market periodically to update watchlist
metrics = await priority_queue.get_metrics() now_timestamp = asyncio.get_event_loop().time()
if metrics.total_enqueued > 0: last_scan = last_scan_time.get(market.code, 0.0)
logger.info( if now_timestamp - last_scan >= SCAN_INTERVAL_SECONDS:
"Priority queue metrics: enqueued=%d, dequeued=%d, size=%d, timeouts=%d, errors=%d", try:
metrics.total_enqueued, # Scan all stocks in the universe
metrics.total_dequeued, stock_universe = STOCK_UNIVERSE.get(market.code, [])
metrics.current_size, if stock_universe:
metrics.total_timeouts, logger.info("Volatility Hunter: Scanning %s market", market.name)
metrics.total_errors, scan_result = await market_scanner.scan_market(
) market, stock_universe
)
# Wait for next cycle or shutdown # Update watchlist with top movers
try: current_watchlist = WATCHLISTS.get(market.code, [])
await asyncio.wait_for(shutdown.wait(), timeout=TRADE_INTERVAL_SECONDS) updated_watchlist = market_scanner.get_updated_watchlist(
except TimeoutError: current_watchlist,
pass # Normal — timeout means it's time for next cycle scan_result,
max_replacements=2,
)
WATCHLISTS[market.code] = updated_watchlist
logger.info(
"Volatility Hunter: Watchlist updated for %s (%d top movers, %d breakouts)",
market.name,
len(scan_result.top_movers),
len(scan_result.breakouts),
)
last_scan_time[market.code] = now_timestamp
except Exception as exc:
logger.error("Volatility Hunter scan failed for %s: %s", market.name, exc)
# Get watchlist for this market
watchlist = WATCHLISTS.get(market.code, [])
if not watchlist:
logger.debug("No watchlist for market %s", market.code)
continue
logger.info("Processing market: %s (%d stocks)", market.name, len(watchlist))
# Process each stock in the watchlist
for stock_code in watchlist:
if shutdown.is_set():
break
# Retry logic for connection errors
for attempt in range(1, MAX_CONNECTION_RETRIES + 1):
try:
await trading_cycle(
broker,
overseas_broker,
brain,
risk,
db_conn,
decision_logger,
context_store,
criticality_assessor,
telegram,
market,
stock_code,
)
break # Success — exit retry loop
except CircuitBreakerTripped as exc:
logger.critical("Circuit breaker tripped — shutting down")
try:
await telegram.notify_circuit_breaker(
pnl_pct=exc.pnl_pct,
threshold=exc.threshold,
)
except Exception as notify_exc:
logger.warning(
"Circuit breaker notification failed: %s", notify_exc
)
raise
except ConnectionError as exc:
if attempt < MAX_CONNECTION_RETRIES:
logger.warning(
"Connection error for %s (attempt %d/%d): %s",
stock_code,
attempt,
MAX_CONNECTION_RETRIES,
exc,
)
await asyncio.sleep(2**attempt) # Exponential backoff
else:
logger.error(
"Connection error for %s (all retries exhausted): %s",
stock_code,
exc,
)
break # Give up on this stock
except Exception as exc:
logger.exception("Unexpected error for %s: %s", stock_code, exc)
break # Don't retry on unexpected errors
# Log priority queue metrics periodically
metrics = await priority_queue.get_metrics()
if metrics.total_enqueued > 0:
logger.info(
"Priority queue metrics: enqueued=%d, dequeued=%d, size=%d, timeouts=%d, errors=%d",
metrics.total_enqueued,
metrics.total_dequeued,
metrics.current_size,
metrics.total_timeouts,
metrics.total_errors,
)
# Wait for next cycle or shutdown
try:
await asyncio.wait_for(shutdown.wait(), timeout=TRADE_INTERVAL_SECONDS)
except TimeoutError:
pass # Normal — timeout means it's time for next cycle
finally: finally:
# Clean up resources
await command_handler.stop_polling()
await broker.close() await broker.close()
await telegram.close()
db_conn.close() db_conn.close()
logger.info("The Ouroboros rests.") logger.info("The Ouroboros rests.")

213
src/notifications/README.md Normal file
View File

@@ -0,0 +1,213 @@
# Telegram Notifications
Real-time trading event notifications via Telegram Bot API.
## Setup
### 1. Create a Telegram Bot
1. Open Telegram and message [@BotFather](https://t.me/BotFather)
2. Send `/newbot` command
3. Follow prompts to name your bot
4. Save the **bot token** (looks like `1234567890:ABCdefGHIjklMNOpqrsTUVwxyz`)
### 2. Get Your Chat ID
**Option A: Using @userinfobot**
1. Message [@userinfobot](https://t.me/userinfobot) on Telegram
2. Send `/start`
3. Save your numeric **chat ID** (e.g., `123456789`)
**Option B: Using @RawDataBot**
1. Message [@RawDataBot](https://t.me/rawdatabot) on Telegram
2. Look for `"id":` in the JSON response
3. Save your numeric **chat ID**
### 3. Configure Environment
Add to your `.env` file:
```bash
TELEGRAM_BOT_TOKEN=1234567890:ABCdefGHIjklMNOpqrsTUVwxyz
TELEGRAM_CHAT_ID=123456789
TELEGRAM_ENABLED=true
```
### 4. Test the Bot
Start a conversation with your bot on Telegram first (send `/start`), then run:
```bash
python -m src.main --mode=paper
```
You should receive a startup notification.
## Message Examples
### Trade Execution
```
🟢 BUY
Symbol: AAPL (United States)
Quantity: 10 shares
Price: 150.25
Confidence: 85%
```
### Circuit Breaker
```
🚨 CIRCUIT BREAKER TRIPPED
P&L: -3.15% (threshold: -3.0%)
Trading halted for safety
```
### Fat-Finger Protection
```
⚠️ Fat-Finger Protection
Order rejected: TSLA
Attempted: 45.0% of cash
Max allowed: 30%
Amount: 45,000 / 100,000
```
### Market Open/Close
```
Market Open
Korea trading session started
Market Close
Korea trading session ended
📈 P&L: +1.25%
```
### System Status
```
📝 System Started
Mode: PAPER
Markets: KRX, NASDAQ
System Shutdown
Normal shutdown
```
## Notification Priorities
| Priority | Emoji | Use Case |
|----------|-------|----------|
| LOW | | Market open/close |
| MEDIUM | 📊 | Trade execution, system start/stop |
| HIGH | ⚠️ | Fat-finger protection, errors |
| CRITICAL | 🚨 | Circuit breaker trips |
## Rate Limiting
- Default: 1 message per second
- Prevents hitting Telegram's global rate limits
- Configurable via `rate_limit` parameter
## Troubleshooting
### No notifications received
1. **Check bot configuration**
```bash
# Verify env variables are set
grep TELEGRAM .env
```
2. **Start conversation with bot**
- Open bot in Telegram
- Send `/start` command
- Bot cannot message users who haven't started a conversation
3. **Check logs**
```bash
# Look for Telegram-related errors
python -m src.main --mode=paper 2>&1 | grep -i telegram
```
4. **Verify bot token**
```bash
curl https://api.telegram.org/bot<YOUR_TOKEN>/getMe
# Should return bot info (not 401 error)
```
5. **Verify chat ID**
```bash
curl -X POST https://api.telegram.org/bot<YOUR_TOKEN>/sendMessage \
-H 'Content-Type: application/json' \
-d '{"chat_id": "<YOUR_CHAT_ID>", "text": "Test"}'
# Should send a test message
```
### Notifications delayed
- Check rate limiter settings
- Verify network connection
- Look for timeout errors in logs
### "Chat not found" error
- Incorrect chat ID
- Bot blocked by user
- Need to send `/start` to bot first
### "Unauthorized" error
- Invalid bot token
- Token revoked (regenerate with @BotFather)
## Graceful Degradation
The system works without Telegram notifications:
- Missing credentials → notifications disabled automatically
- API errors → logged but trading continues
- Network timeouts → trading loop unaffected
- Rate limiting → messages queued, trading proceeds
**Notifications never crash the trading system.**
## Security Notes
- Never commit `.env` file with credentials
- Bot token grants full bot control
- Chat ID is not sensitive (just a number)
- Messages are sent over HTTPS
- No trading credentials in notifications
## Advanced Usage
### Group Notifications
1. Add bot to Telegram group
2. Get group chat ID (negative number like `-123456789`)
3. Use group chat ID in `TELEGRAM_CHAT_ID`
### Multiple Recipients
Create multiple bots or use a broadcast group with multiple members.
### Custom Rate Limits
Not currently exposed in config, but can be modified in code:
```python
telegram = TelegramClient(
bot_token=settings.TELEGRAM_BOT_TOKEN,
chat_id=settings.TELEGRAM_CHAT_ID,
rate_limit=2.0, # 2 messages per second
)
```
## API Reference
See `telegram_client.py` for full API documentation.
Key methods:
- `notify_trade_execution()` - Trade alerts
- `notify_circuit_breaker()` - Emergency stops
- `notify_fat_finger()` - Order rejections
- `notify_market_open/close()` - Session tracking
- `notify_system_start/shutdown()` - Lifecycle events
- `notify_error()` - Error alerts

View File

@@ -0,0 +1,5 @@
"""Real-time notifications for trading events."""
from src.notifications.telegram_client import TelegramClient
__all__ = ["TelegramClient"]

View File

@@ -0,0 +1,511 @@
"""Telegram notification client for real-time trading alerts."""
import asyncio
import logging
import time
from collections.abc import Awaitable, Callable
from dataclasses import dataclass
from enum import Enum
import aiohttp
logger = logging.getLogger(__name__)
class NotificationPriority(Enum):
"""Priority levels for notifications with emoji indicators."""
LOW = ("", "info")
MEDIUM = ("📊", "medium")
HIGH = ("⚠️", "warning")
CRITICAL = ("🚨", "critical")
def __init__(self, emoji: str, label: str) -> None:
self.emoji = emoji
self.label = label
class LeakyBucket:
"""Rate limiter using leaky bucket algorithm."""
def __init__(self, rate: float, capacity: int = 1) -> None:
"""
Initialize rate limiter.
Args:
rate: Maximum requests per second
capacity: Bucket capacity (burst size)
"""
self._rate = rate
self._capacity = capacity
self._tokens = float(capacity)
self._last_update = time.monotonic()
self._lock = asyncio.Lock()
async def acquire(self) -> None:
"""Wait until a token is available, then consume it."""
async with self._lock:
now = time.monotonic()
elapsed = now - self._last_update
self._tokens = min(self._capacity, self._tokens + elapsed * self._rate)
self._last_update = now
if self._tokens < 1.0:
wait_time = (1.0 - self._tokens) / self._rate
await asyncio.sleep(wait_time)
self._tokens = 0.0
else:
self._tokens -= 1.0
@dataclass
class NotificationMessage:
"""Internal notification message structure."""
priority: NotificationPriority
message: str
class TelegramClient:
"""Telegram Bot API client for sending trading notifications."""
API_BASE = "https://api.telegram.org/bot{token}"
DEFAULT_TIMEOUT = 5.0 # seconds
DEFAULT_RATE = 1.0 # messages per second
def __init__(
self,
bot_token: str | None = None,
chat_id: str | None = None,
enabled: bool = True,
rate_limit: float = DEFAULT_RATE,
) -> None:
"""
Initialize Telegram client.
Args:
bot_token: Telegram bot token from @BotFather
chat_id: Target chat ID (user or group)
enabled: Enable/disable notifications globally
rate_limit: Maximum messages per second
"""
self._bot_token = bot_token
self._chat_id = chat_id
self._enabled = enabled
self._rate_limiter = LeakyBucket(rate=rate_limit)
self._session: aiohttp.ClientSession | None = None
if not enabled:
logger.info("Telegram notifications disabled via configuration")
elif bot_token is None or chat_id is None:
logger.warning(
"Telegram notifications disabled (missing bot_token or chat_id)"
)
self._enabled = False
else:
logger.info("Telegram notifications enabled for chat_id=%s", chat_id)
def _get_session(self) -> aiohttp.ClientSession:
"""Get or create aiohttp session."""
if self._session is None or self._session.closed:
self._session = aiohttp.ClientSession(
timeout=aiohttp.ClientTimeout(total=self.DEFAULT_TIMEOUT)
)
return self._session
async def close(self) -> None:
"""Close HTTP session."""
if self._session is not None and not self._session.closed:
await self._session.close()
async def send_message(self, text: str, parse_mode: str = "HTML") -> bool:
"""
Send a generic text message to Telegram.
Args:
text: Message text to send
parse_mode: Parse mode for formatting (HTML or Markdown)
Returns:
True if message was sent successfully, False otherwise
"""
if not self._enabled:
return False
try:
await self._rate_limiter.acquire()
url = f"{self.API_BASE.format(token=self._bot_token)}/sendMessage"
payload = {
"chat_id": self._chat_id,
"text": text,
"parse_mode": parse_mode,
}
session = self._get_session()
async with session.post(url, json=payload) as resp:
if resp.status != 200:
error_text = await resp.text()
logger.error(
"Telegram API error (status=%d): %s", resp.status, error_text
)
return False
logger.debug("Telegram message sent: %s", text[:50])
return True
except asyncio.TimeoutError:
logger.error("Telegram message timeout")
return False
except aiohttp.ClientError as exc:
logger.error("Telegram message failed: %s", exc)
return False
except Exception as exc:
logger.error("Unexpected error sending message: %s", exc)
return False
async def _send_notification(self, msg: NotificationMessage) -> None:
"""
Send notification to Telegram with graceful degradation.
Args:
msg: Notification message to send
"""
formatted_message = f"{msg.priority.emoji} {msg.message}"
await self.send_message(formatted_message)
async def notify_trade_execution(
self,
stock_code: str,
market: str,
action: str,
quantity: int,
price: float,
confidence: float,
) -> None:
"""
Notify trade execution.
Args:
stock_code: Stock ticker symbol
market: Market name (e.g., "Korea", "United States")
action: "BUY" or "SELL"
quantity: Number of shares
price: Execution price
confidence: AI confidence level (0-100)
"""
emoji = "🟢" if action == "BUY" else "🔴"
message = (
f"<b>{emoji} {action}</b>\n"
f"Symbol: <code>{stock_code}</code> ({market})\n"
f"Quantity: {quantity:,} shares\n"
f"Price: {price:,.2f}\n"
f"Confidence: {confidence:.0f}%"
)
await self._send_notification(
NotificationMessage(priority=NotificationPriority.MEDIUM, message=message)
)
async def notify_market_open(self, market_name: str) -> None:
"""
Notify market opening.
Args:
market_name: Name of the market (e.g., "Korea", "United States")
"""
message = f"<b>Market Open</b>\n{market_name} trading session started"
await self._send_notification(
NotificationMessage(priority=NotificationPriority.LOW, message=message)
)
async def notify_market_close(self, market_name: str, pnl_pct: float) -> None:
"""
Notify market closing.
Args:
market_name: Name of the market
pnl_pct: Final P&L percentage for the session
"""
pnl_sign = "+" if pnl_pct >= 0 else ""
pnl_emoji = "📈" if pnl_pct >= 0 else "📉"
message = (
f"<b>Market Close</b>\n"
f"{market_name} trading session ended\n"
f"{pnl_emoji} P&L: {pnl_sign}{pnl_pct:.2f}%"
)
await self._send_notification(
NotificationMessage(priority=NotificationPriority.LOW, message=message)
)
async def notify_circuit_breaker(
self, pnl_pct: float, threshold: float
) -> None:
"""
Notify circuit breaker activation.
Args:
pnl_pct: Current P&L percentage
threshold: Circuit breaker threshold
"""
message = (
f"<b>CIRCUIT BREAKER TRIPPED</b>\n"
f"P&L: {pnl_pct:.2f}% (threshold: {threshold:.1f}%)\n"
f"Trading halted for safety"
)
await self._send_notification(
NotificationMessage(priority=NotificationPriority.CRITICAL, message=message)
)
async def notify_fat_finger(
self,
stock_code: str,
order_amount: float,
total_cash: float,
max_pct: float,
) -> None:
"""
Notify fat-finger protection rejection.
Args:
stock_code: Stock ticker symbol
order_amount: Attempted order amount
total_cash: Total available cash
max_pct: Maximum allowed percentage
"""
attempted_pct = (order_amount / total_cash) * 100 if total_cash > 0 else 0
message = (
f"<b>Fat-Finger Protection</b>\n"
f"Order rejected: <code>{stock_code}</code>\n"
f"Attempted: {attempted_pct:.1f}% of cash\n"
f"Max allowed: {max_pct:.0f}%\n"
f"Amount: {order_amount:,.0f} / {total_cash:,.0f}"
)
await self._send_notification(
NotificationMessage(priority=NotificationPriority.HIGH, message=message)
)
async def notify_system_start(
self, mode: str, enabled_markets: list[str]
) -> None:
"""
Notify system startup.
Args:
mode: Trading mode ("paper" or "live")
enabled_markets: List of enabled market codes
"""
mode_emoji = "📝" if mode == "paper" else "💰"
markets_str = ", ".join(enabled_markets)
message = (
f"<b>{mode_emoji} System Started</b>\n"
f"Mode: {mode.upper()}\n"
f"Markets: {markets_str}"
)
await self._send_notification(
NotificationMessage(priority=NotificationPriority.MEDIUM, message=message)
)
async def notify_system_shutdown(self, reason: str) -> None:
"""
Notify system shutdown.
Args:
reason: Reason for shutdown (e.g., "Normal shutdown", "Circuit breaker")
"""
message = f"<b>System Shutdown</b>\n{reason}"
priority = (
NotificationPriority.CRITICAL
if "circuit breaker" in reason.lower()
else NotificationPriority.MEDIUM
)
await self._send_notification(
NotificationMessage(priority=priority, message=message)
)
async def notify_error(
self, error_type: str, error_msg: str, context: str
) -> None:
"""
Notify system error.
Args:
error_type: Type of error (e.g., "Connection Error")
error_msg: Error message
context: Error context (e.g., stock code, market)
"""
message = (
f"<b>Error: {error_type}</b>\n"
f"Context: {context}\n"
f"Message: {error_msg[:200]}" # Truncate long errors
)
await self._send_notification(
NotificationMessage(priority=NotificationPriority.HIGH, message=message)
)
class TelegramCommandHandler:
"""Handles incoming Telegram commands via long polling."""
def __init__(
self, client: TelegramClient, polling_interval: float = 1.0
) -> None:
"""
Initialize command handler.
Args:
client: TelegramClient instance for sending responses
polling_interval: Polling interval in seconds
"""
self._client = client
self._polling_interval = polling_interval
self._commands: dict[str, Callable[[], Awaitable[None]]] = {}
self._last_update_id = 0
self._polling_task: asyncio.Task[None] | None = None
self._running = False
def register_command(
self, command: str, handler: Callable[[], Awaitable[None]]
) -> None:
"""
Register a command handler.
Args:
command: Command name (without leading slash, e.g., "start")
handler: Async function to handle the command
"""
self._commands[command] = handler
logger.debug("Registered command handler: /%s", command)
async def start_polling(self) -> None:
"""Start long polling for commands."""
if self._running:
logger.warning("Command handler already running")
return
if not self._client._enabled:
logger.info("Command handler disabled (TelegramClient disabled)")
return
self._running = True
self._polling_task = asyncio.create_task(self._poll_loop())
logger.info("Started Telegram command polling")
async def stop_polling(self) -> None:
"""Stop polling and cancel pending tasks."""
if not self._running:
return
self._running = False
if self._polling_task:
self._polling_task.cancel()
try:
await self._polling_task
except asyncio.CancelledError:
pass
logger.info("Stopped Telegram command polling")
async def _poll_loop(self) -> None:
"""Main polling loop that fetches updates."""
while self._running:
try:
updates = await self._get_updates()
for update in updates:
await self._handle_update(update)
except asyncio.CancelledError:
break
except Exception as exc:
logger.error("Error in polling loop: %s", exc)
await asyncio.sleep(self._polling_interval)
async def _get_updates(self) -> list[dict]:
"""
Fetch updates from Telegram API.
Returns:
List of update objects
"""
try:
url = f"{self._client.API_BASE.format(token=self._client._bot_token)}/getUpdates"
payload = {
"offset": self._last_update_id + 1,
"timeout": int(self._polling_interval),
"allowed_updates": ["message"],
}
session = self._client._get_session()
async with session.post(url, json=payload) as resp:
if resp.status != 200:
error_text = await resp.text()
logger.error(
"getUpdates API error (status=%d): %s", resp.status, error_text
)
return []
data = await resp.json()
if not data.get("ok"):
logger.error("getUpdates returned ok=false: %s", data)
return []
updates = data.get("result", [])
if updates:
self._last_update_id = updates[-1]["update_id"]
return updates
except asyncio.TimeoutError:
logger.debug("getUpdates timeout (normal)")
return []
except aiohttp.ClientError as exc:
logger.error("getUpdates failed: %s", exc)
return []
except Exception as exc:
logger.error("Unexpected error in _get_updates: %s", exc)
return []
async def _handle_update(self, update: dict) -> None:
"""
Parse and handle a single update.
Args:
update: Update object from Telegram API
"""
try:
message = update.get("message")
if not message:
return
# Verify chat_id matches configured chat
chat_id = str(message.get("chat", {}).get("id", ""))
if chat_id != self._client._chat_id:
logger.warning(
"Ignoring command from unauthorized chat_id: %s", chat_id
)
return
# Extract command text
text = message.get("text", "").strip()
if not text.startswith("/"):
return
# Parse command (remove leading slash and extract command name)
command_parts = text[1:].split()
if not command_parts:
return
# Remove @botname suffix if present (for group chats)
command_name = command_parts[0].split("@")[0]
# Execute handler
handler = self._commands.get(command_name)
if handler:
logger.info("Executing command: /%s", command_name)
await handler()
else:
logger.debug("Unknown command: /%s", command_name)
await self._client.send_message(
f"Unknown command: /{command_name}\nUse /help to see available commands."
)
except Exception as exc:
logger.error("Error handling update: %s", exc)
# Don't crash the polling loop on handler errors

View File

@@ -152,3 +152,121 @@ class TestPromptConstruction:
assert "JSON" in prompt assert "JSON" in prompt
assert "action" in prompt assert "action" in prompt
assert "confidence" in prompt assert "confidence" in prompt
# ---------------------------------------------------------------------------
# Batch Decision Making
# ---------------------------------------------------------------------------
class TestBatchDecisionParsing:
"""Batch response parser must handle JSON arrays correctly."""
def test_parse_valid_batch_response(self, settings):
client = GeminiClient(settings)
stocks_data = [
{"stock_code": "AAPL", "current_price": 185.5},
{"stock_code": "MSFT", "current_price": 420.0},
]
raw = """[
{"code": "AAPL", "action": "BUY", "confidence": 85, "rationale": "Strong momentum"},
{"code": "MSFT", "action": "HOLD", "confidence": 50, "rationale": "Wait for earnings"}
]"""
decisions = client._parse_batch_response(raw, stocks_data, token_count=100)
assert len(decisions) == 2
assert decisions["AAPL"].action == "BUY"
assert decisions["AAPL"].confidence == 85
assert decisions["MSFT"].action == "HOLD"
assert decisions["MSFT"].confidence == 50
def test_parse_batch_with_markdown_wrapper(self, settings):
client = GeminiClient(settings)
stocks_data = [{"stock_code": "AAPL", "current_price": 185.5}]
raw = """```json
[{"code": "AAPL", "action": "BUY", "confidence": 90, "rationale": "Good"}]
```"""
decisions = client._parse_batch_response(raw, stocks_data, token_count=100)
assert decisions["AAPL"].action == "BUY"
assert decisions["AAPL"].confidence == 90
def test_parse_batch_empty_response_returns_hold_for_all(self, settings):
client = GeminiClient(settings)
stocks_data = [
{"stock_code": "AAPL", "current_price": 185.5},
{"stock_code": "MSFT", "current_price": 420.0},
]
decisions = client._parse_batch_response("", stocks_data, token_count=100)
assert len(decisions) == 2
assert decisions["AAPL"].action == "HOLD"
assert decisions["AAPL"].confidence == 0
assert decisions["MSFT"].action == "HOLD"
def test_parse_batch_malformed_json_returns_hold_for_all(self, settings):
client = GeminiClient(settings)
stocks_data = [{"stock_code": "AAPL", "current_price": 185.5}]
raw = "This is not JSON"
decisions = client._parse_batch_response(raw, stocks_data, token_count=100)
assert decisions["AAPL"].action == "HOLD"
assert decisions["AAPL"].confidence == 0
def test_parse_batch_not_array_returns_hold_for_all(self, settings):
client = GeminiClient(settings)
stocks_data = [{"stock_code": "AAPL", "current_price": 185.5}]
raw = '{"code": "AAPL", "action": "BUY", "confidence": 90, "rationale": "Good"}'
decisions = client._parse_batch_response(raw, stocks_data, token_count=100)
assert decisions["AAPL"].action == "HOLD"
assert decisions["AAPL"].confidence == 0
def test_parse_batch_missing_stock_gets_hold(self, settings):
client = GeminiClient(settings)
stocks_data = [
{"stock_code": "AAPL", "current_price": 185.5},
{"stock_code": "MSFT", "current_price": 420.0},
]
# Response only has AAPL, MSFT is missing
raw = '[{"code": "AAPL", "action": "BUY", "confidence": 85, "rationale": "Good"}]'
decisions = client._parse_batch_response(raw, stocks_data, token_count=100)
assert decisions["AAPL"].action == "BUY"
assert decisions["MSFT"].action == "HOLD"
assert decisions["MSFT"].confidence == 0
def test_parse_batch_invalid_action_becomes_hold(self, settings):
client = GeminiClient(settings)
stocks_data = [{"stock_code": "AAPL", "current_price": 185.5}]
raw = '[{"code": "AAPL", "action": "YOLO", "confidence": 90, "rationale": "Moon"}]'
decisions = client._parse_batch_response(raw, stocks_data, token_count=100)
assert decisions["AAPL"].action == "HOLD"
def test_parse_batch_low_confidence_becomes_hold(self, settings):
client = GeminiClient(settings)
stocks_data = [{"stock_code": "AAPL", "current_price": 185.5}]
raw = '[{"code": "AAPL", "action": "BUY", "confidence": 65, "rationale": "Weak"}]'
decisions = client._parse_batch_response(raw, stocks_data, token_count=100)
assert decisions["AAPL"].action == "HOLD"
assert decisions["AAPL"].confidence == 65
def test_parse_batch_missing_fields_gets_hold(self, settings):
client = GeminiClient(settings)
stocks_data = [{"stock_code": "AAPL", "current_price": 185.5}]
raw = '[{"code": "AAPL", "action": "BUY"}]' # Missing confidence and rationale
decisions = client._parse_batch_response(raw, stocks_data, token_count=100)
assert decisions["AAPL"].action == "HOLD"
assert decisions["AAPL"].confidence == 0

View File

@@ -49,6 +49,110 @@ class TestTokenManagement:
await broker.close() await broker.close()
@pytest.mark.asyncio
async def test_concurrent_token_refresh_calls_api_once(self, settings):
"""Multiple concurrent token requests should only call API once."""
broker = KISBroker(settings)
# Track how many times the mock API is called
call_count = [0]
def create_mock_resp():
call_count[0] += 1
mock_resp = AsyncMock()
mock_resp.status = 200
mock_resp.json = AsyncMock(
return_value={
"access_token": "tok_concurrent",
"token_type": "Bearer",
"expires_in": 86400,
}
)
mock_resp.__aenter__ = AsyncMock(return_value=mock_resp)
mock_resp.__aexit__ = AsyncMock(return_value=False)
return mock_resp
with patch("aiohttp.ClientSession.post", return_value=create_mock_resp()):
# Launch 5 concurrent token requests
tokens = await asyncio.gather(
broker._ensure_token(),
broker._ensure_token(),
broker._ensure_token(),
broker._ensure_token(),
broker._ensure_token(),
)
# All should get the same token
assert all(t == "tok_concurrent" for t in tokens)
# API should be called only once (due to lock)
assert call_count[0] == 1
await broker.close()
@pytest.mark.asyncio
async def test_token_refresh_cooldown_prevents_rapid_retries(self, settings):
"""Token refresh should enforce cooldown after failure (issue #54)."""
broker = KISBroker(settings)
broker._refresh_cooldown = 2.0 # Short cooldown for testing
# First refresh attempt fails with 403 (EGW00133)
mock_resp_403 = AsyncMock()
mock_resp_403.status = 403
mock_resp_403.text = AsyncMock(
return_value='{"error_code":"EGW00133","error_description":"접근토큰 발급 잠시 후 다시 시도하세요(1분당 1회)"}'
)
mock_resp_403.__aenter__ = AsyncMock(return_value=mock_resp_403)
mock_resp_403.__aexit__ = AsyncMock(return_value=False)
with patch("aiohttp.ClientSession.post", return_value=mock_resp_403):
# First attempt should fail with 403
with pytest.raises(ConnectionError, match="Token refresh failed"):
await broker._ensure_token()
# Second attempt within cooldown should fail with cooldown error
with pytest.raises(ConnectionError, match="Token refresh on cooldown"):
await broker._ensure_token()
await broker.close()
@pytest.mark.asyncio
async def test_token_refresh_allowed_after_cooldown(self, settings):
"""Token refresh should be allowed after cooldown period expires."""
broker = KISBroker(settings)
broker._refresh_cooldown = 0.1 # Very short cooldown for testing
# First attempt fails
mock_resp_403 = AsyncMock()
mock_resp_403.status = 403
mock_resp_403.text = AsyncMock(return_value='{"error_code":"EGW00133"}')
mock_resp_403.__aenter__ = AsyncMock(return_value=mock_resp_403)
mock_resp_403.__aexit__ = AsyncMock(return_value=False)
# Second attempt succeeds
mock_resp_200 = AsyncMock()
mock_resp_200.status = 200
mock_resp_200.json = AsyncMock(
return_value={
"access_token": "tok_after_cooldown",
"expires_in": 86400,
}
)
mock_resp_200.__aenter__ = AsyncMock(return_value=mock_resp_200)
mock_resp_200.__aexit__ = AsyncMock(return_value=False)
with patch("aiohttp.ClientSession.post", return_value=mock_resp_403):
with pytest.raises(ConnectionError, match="Token refresh failed"):
await broker._ensure_token()
# Wait for cooldown to expire
await asyncio.sleep(0.15)
with patch("aiohttp.ClientSession.post", return_value=mock_resp_200):
token = await broker._ensure_token()
assert token == "tok_after_cooldown"
await broker.close()
# --------------------------------------------------------------------------- # ---------------------------------------------------------------------------
# Network Error Handling # Network Error Handling
@@ -107,6 +211,38 @@ class TestRateLimiter:
await broker._rate_limiter.acquire() await broker._rate_limiter.acquire()
await broker.close() await broker.close()
@pytest.mark.asyncio
async def test_send_order_acquires_rate_limiter_twice(self, settings):
"""send_order must acquire rate limiter for both hash key and order call."""
broker = KISBroker(settings)
broker._access_token = "tok"
broker._token_expires_at = asyncio.get_event_loop().time() + 3600
# Mock hash key response
mock_hash_resp = AsyncMock()
mock_hash_resp.status = 200
mock_hash_resp.json = AsyncMock(return_value={"HASH": "abc123"})
mock_hash_resp.__aenter__ = AsyncMock(return_value=mock_hash_resp)
mock_hash_resp.__aexit__ = AsyncMock(return_value=False)
# Mock order response
mock_order_resp = AsyncMock()
mock_order_resp.status = 200
mock_order_resp.json = AsyncMock(return_value={"rt_cd": "0"})
mock_order_resp.__aenter__ = AsyncMock(return_value=mock_order_resp)
mock_order_resp.__aexit__ = AsyncMock(return_value=False)
with patch(
"aiohttp.ClientSession.post", side_effect=[mock_hash_resp, mock_order_resp]
):
with patch.object(
broker._rate_limiter, "acquire", new_callable=AsyncMock
) as mock_acquire:
await broker.send_order("005930", "BUY", 1, 50000)
assert mock_acquire.call_count == 2
await broker.close()
# --------------------------------------------------------------------------- # ---------------------------------------------------------------------------
# Hash Key Generation # Hash Key Generation
@@ -136,3 +272,27 @@ class TestHashKey:
assert len(hash_key) > 0 assert len(hash_key) > 0
await broker.close() await broker.close()
@pytest.mark.asyncio
async def test_hash_key_acquires_rate_limiter(self, settings):
"""_get_hash_key must go through the rate limiter to prevent burst."""
broker = KISBroker(settings)
broker._access_token = "tok"
broker._token_expires_at = asyncio.get_event_loop().time() + 3600
body = {"CANO": "12345678", "ACNT_PRDT_CD": "01"}
mock_resp = AsyncMock()
mock_resp.status = 200
mock_resp.json = AsyncMock(return_value={"HASH": "abc123hash"})
mock_resp.__aenter__ = AsyncMock(return_value=mock_resp)
mock_resp.__aexit__ = AsyncMock(return_value=False)
with patch("aiohttp.ClientSession.post", return_value=mock_resp):
with patch.object(
broker._rate_limiter, "acquire", new_callable=AsyncMock
) as mock_acquire:
await broker._get_hash_key(body)
mock_acquire.assert_called_once()
await broker.close()

651
tests/test_main.py Normal file
View File

@@ -0,0 +1,651 @@
"""Tests for main trading loop telegram integration."""
import asyncio
from unittest.mock import AsyncMock, MagicMock, patch
import pytest
from src.core.risk_manager import CircuitBreakerTripped, FatFingerRejected
from src.main import safe_float, trading_cycle
class TestSafeFloat:
"""Test safe_float() helper function."""
def test_converts_valid_string(self):
"""Test conversion of valid numeric string."""
assert safe_float("123.45") == 123.45
assert safe_float("0") == 0.0
assert safe_float("-99.9") == -99.9
def test_handles_empty_string(self):
"""Test empty string returns default."""
assert safe_float("") == 0.0
assert safe_float("", 99.0) == 99.0
def test_handles_none(self):
"""Test None returns default."""
assert safe_float(None) == 0.0
assert safe_float(None, 42.0) == 42.0
def test_handles_invalid_string(self):
"""Test invalid string returns default."""
assert safe_float("invalid") == 0.0
assert safe_float("not_a_number", 100.0) == 100.0
assert safe_float("12.34.56") == 0.0
def test_handles_float_input(self):
"""Test float input passes through."""
assert safe_float(123.45) == 123.45
assert safe_float(0.0) == 0.0
def test_custom_default(self):
"""Test custom default value."""
assert safe_float("", -1.0) == -1.0
assert safe_float(None, 999.0) == 999.0
class TestTradingCycleTelegramIntegration:
"""Test telegram notifications in trading_cycle function."""
@pytest.fixture
def mock_broker(self) -> MagicMock:
"""Create mock broker."""
broker = MagicMock()
broker.get_orderbook = AsyncMock(
return_value={
"output1": {
"stck_prpr": "50000",
"frgn_ntby_qty": "100",
}
}
)
broker.get_balance = AsyncMock(
return_value={
"output2": [
{
"tot_evlu_amt": "10000000",
"dnca_tot_amt": "5000000",
"pchs_amt_smtl_amt": "5000000",
}
]
}
)
broker.send_order = AsyncMock(return_value={"msg1": "OK"})
return broker
@pytest.fixture
def mock_overseas_broker(self) -> MagicMock:
"""Create mock overseas broker."""
broker = MagicMock()
return broker
@pytest.fixture
def mock_brain(self) -> MagicMock:
"""Create mock brain that decides to buy."""
brain = MagicMock()
decision = MagicMock()
decision.action = "BUY"
decision.confidence = 85
decision.rationale = "Test buy"
brain.decide = AsyncMock(return_value=decision)
return brain
@pytest.fixture
def mock_risk(self) -> MagicMock:
"""Create mock risk manager."""
risk = MagicMock()
risk.validate_order = MagicMock()
return risk
@pytest.fixture
def mock_db(self) -> MagicMock:
"""Create mock database connection."""
return MagicMock()
@pytest.fixture
def mock_decision_logger(self) -> MagicMock:
"""Create mock decision logger."""
logger = MagicMock()
logger.log_decision = MagicMock()
return logger
@pytest.fixture
def mock_context_store(self) -> MagicMock:
"""Create mock context store."""
store = MagicMock()
store.get_latest_timeframe = MagicMock(return_value=None)
return store
@pytest.fixture
def mock_criticality_assessor(self) -> MagicMock:
"""Create mock criticality assessor."""
assessor = MagicMock()
assessor.assess_market_conditions = MagicMock(
return_value=MagicMock(value="NORMAL")
)
assessor.get_timeout = MagicMock(return_value=5.0)
return assessor
@pytest.fixture
def mock_telegram(self) -> MagicMock:
"""Create mock telegram client."""
telegram = MagicMock()
telegram.notify_trade_execution = AsyncMock()
telegram.notify_fat_finger = AsyncMock()
telegram.notify_circuit_breaker = AsyncMock()
return telegram
@pytest.fixture
def mock_market(self) -> MagicMock:
"""Create mock market info."""
market = MagicMock()
market.name = "Korea"
market.code = "KR"
market.exchange_code = "KRX"
market.is_domestic = True
return market
@pytest.mark.asyncio
async def test_trade_execution_notification_sent(
self,
mock_broker: MagicMock,
mock_overseas_broker: MagicMock,
mock_brain: MagicMock,
mock_risk: MagicMock,
mock_db: MagicMock,
mock_decision_logger: MagicMock,
mock_context_store: MagicMock,
mock_criticality_assessor: MagicMock,
mock_telegram: MagicMock,
mock_market: MagicMock,
) -> None:
"""Test telegram notification sent on trade execution."""
with patch("src.main.log_trade"):
await trading_cycle(
broker=mock_broker,
overseas_broker=mock_overseas_broker,
brain=mock_brain,
risk=mock_risk,
db_conn=mock_db,
decision_logger=mock_decision_logger,
context_store=mock_context_store,
criticality_assessor=mock_criticality_assessor,
telegram=mock_telegram,
market=mock_market,
stock_code="005930",
)
# Verify notification was sent
mock_telegram.notify_trade_execution.assert_called_once()
call_kwargs = mock_telegram.notify_trade_execution.call_args.kwargs
assert call_kwargs["stock_code"] == "005930"
assert call_kwargs["market"] == "Korea"
assert call_kwargs["action"] == "BUY"
assert call_kwargs["confidence"] == 85
@pytest.mark.asyncio
async def test_trade_execution_notification_failure_doesnt_crash(
self,
mock_broker: MagicMock,
mock_overseas_broker: MagicMock,
mock_brain: MagicMock,
mock_risk: MagicMock,
mock_db: MagicMock,
mock_decision_logger: MagicMock,
mock_context_store: MagicMock,
mock_criticality_assessor: MagicMock,
mock_telegram: MagicMock,
mock_market: MagicMock,
) -> None:
"""Test trading continues even if notification fails."""
# Make notification fail
mock_telegram.notify_trade_execution.side_effect = Exception("API error")
with patch("src.main.log_trade"):
# Should not raise exception
await trading_cycle(
broker=mock_broker,
overseas_broker=mock_overseas_broker,
brain=mock_brain,
risk=mock_risk,
db_conn=mock_db,
decision_logger=mock_decision_logger,
context_store=mock_context_store,
criticality_assessor=mock_criticality_assessor,
telegram=mock_telegram,
market=mock_market,
stock_code="005930",
)
# Verify notification was attempted
mock_telegram.notify_trade_execution.assert_called_once()
@pytest.mark.asyncio
async def test_fat_finger_notification_sent(
self,
mock_broker: MagicMock,
mock_overseas_broker: MagicMock,
mock_brain: MagicMock,
mock_risk: MagicMock,
mock_db: MagicMock,
mock_decision_logger: MagicMock,
mock_context_store: MagicMock,
mock_criticality_assessor: MagicMock,
mock_telegram: MagicMock,
mock_market: MagicMock,
) -> None:
"""Test telegram notification sent on fat finger rejection."""
# Make risk manager reject the order
mock_risk.validate_order.side_effect = FatFingerRejected(
order_amount=2000000,
total_cash=5000000,
max_pct=30.0,
)
with patch("src.main.log_trade"):
with pytest.raises(FatFingerRejected):
await trading_cycle(
broker=mock_broker,
overseas_broker=mock_overseas_broker,
brain=mock_brain,
risk=mock_risk,
db_conn=mock_db,
decision_logger=mock_decision_logger,
context_store=mock_context_store,
criticality_assessor=mock_criticality_assessor,
telegram=mock_telegram,
market=mock_market,
stock_code="005930",
)
# Verify notification was sent
mock_telegram.notify_fat_finger.assert_called_once()
call_kwargs = mock_telegram.notify_fat_finger.call_args.kwargs
assert call_kwargs["stock_code"] == "005930"
assert call_kwargs["order_amount"] == 2000000
assert call_kwargs["total_cash"] == 5000000
assert call_kwargs["max_pct"] == 30.0
@pytest.mark.asyncio
async def test_fat_finger_notification_failure_still_raises(
self,
mock_broker: MagicMock,
mock_overseas_broker: MagicMock,
mock_brain: MagicMock,
mock_risk: MagicMock,
mock_db: MagicMock,
mock_decision_logger: MagicMock,
mock_context_store: MagicMock,
mock_criticality_assessor: MagicMock,
mock_telegram: MagicMock,
mock_market: MagicMock,
) -> None:
"""Test fat finger exception still raised even if notification fails."""
# Make risk manager reject the order
mock_risk.validate_order.side_effect = FatFingerRejected(
order_amount=2000000,
total_cash=5000000,
max_pct=30.0,
)
# Make notification fail
mock_telegram.notify_fat_finger.side_effect = Exception("API error")
with patch("src.main.log_trade"):
with pytest.raises(FatFingerRejected):
await trading_cycle(
broker=mock_broker,
overseas_broker=mock_overseas_broker,
brain=mock_brain,
risk=mock_risk,
db_conn=mock_db,
decision_logger=mock_decision_logger,
context_store=mock_context_store,
criticality_assessor=mock_criticality_assessor,
telegram=mock_telegram,
market=mock_market,
stock_code="005930",
)
# Verify notification was attempted
mock_telegram.notify_fat_finger.assert_called_once()
@pytest.mark.asyncio
async def test_no_notification_on_hold_decision(
self,
mock_broker: MagicMock,
mock_overseas_broker: MagicMock,
mock_brain: MagicMock,
mock_risk: MagicMock,
mock_db: MagicMock,
mock_decision_logger: MagicMock,
mock_context_store: MagicMock,
mock_criticality_assessor: MagicMock,
mock_telegram: MagicMock,
mock_market: MagicMock,
) -> None:
"""Test no trade notification sent when decision is HOLD."""
# Change brain decision to HOLD
decision = MagicMock()
decision.action = "HOLD"
decision.confidence = 50
decision.rationale = "Insufficient signal"
mock_brain.decide = AsyncMock(return_value=decision)
with patch("src.main.log_trade"):
await trading_cycle(
broker=mock_broker,
overseas_broker=mock_overseas_broker,
brain=mock_brain,
risk=mock_risk,
db_conn=mock_db,
decision_logger=mock_decision_logger,
context_store=mock_context_store,
criticality_assessor=mock_criticality_assessor,
telegram=mock_telegram,
market=mock_market,
stock_code="005930",
)
# Verify no trade notification sent
mock_telegram.notify_trade_execution.assert_not_called()
class TestRunFunctionTelegramIntegration:
"""Test telegram notifications in run function."""
@pytest.mark.asyncio
async def test_circuit_breaker_notification_sent(self) -> None:
"""Test telegram notification sent when circuit breaker trips."""
mock_telegram = MagicMock()
mock_telegram.notify_circuit_breaker = AsyncMock()
# Simulate circuit breaker exception
exc = CircuitBreakerTripped(pnl_pct=-3.5, threshold=-3.0)
# Test the notification logic
try:
await mock_telegram.notify_circuit_breaker(
pnl_pct=exc.pnl_pct,
threshold=exc.threshold,
)
except Exception:
pass # Ignore errors in notification
# Verify notification was called
mock_telegram.notify_circuit_breaker.assert_called_once_with(
pnl_pct=-3.5,
threshold=-3.0,
)
class TestOverseasBalanceParsing:
"""Test overseas balance output2 parsing handles different formats."""
@pytest.fixture
def mock_overseas_broker_with_list(self) -> MagicMock:
"""Create mock overseas broker returning list format."""
broker = MagicMock()
broker.get_overseas_price = AsyncMock(
return_value={"output": {"last": "150.50"}}
)
broker.get_overseas_balance = AsyncMock(
return_value={
"output2": [
{
"frcr_evlu_tota": "10000.00",
"frcr_dncl_amt_2": "5000.00",
"frcr_buy_amt_smtl": "4500.00",
}
]
}
)
return broker
@pytest.fixture
def mock_overseas_broker_with_dict(self) -> MagicMock:
"""Create mock overseas broker returning dict format."""
broker = MagicMock()
broker.get_overseas_price = AsyncMock(
return_value={"output": {"last": "150.50"}}
)
broker.get_overseas_balance = AsyncMock(
return_value={
"output2": {
"frcr_evlu_tota": "10000.00",
"frcr_dncl_amt_2": "5000.00",
"frcr_buy_amt_smtl": "4500.00",
}
}
)
return broker
@pytest.fixture
def mock_overseas_broker_with_empty(self) -> MagicMock:
"""Create mock overseas broker returning empty output2."""
broker = MagicMock()
broker.get_overseas_price = AsyncMock(
return_value={"output": {"last": "150.50"}}
)
broker.get_overseas_balance = AsyncMock(return_value={"output2": []})
return broker
@pytest.fixture
def mock_overseas_broker_with_empty_price(self) -> MagicMock:
"""Create mock overseas broker returning empty string for price."""
broker = MagicMock()
broker.get_overseas_price = AsyncMock(
return_value={"output": {"last": ""}} # Empty string
)
broker.get_overseas_balance = AsyncMock(
return_value={
"output2": [
{
"frcr_evlu_tota": "10000.00",
"frcr_dncl_amt_2": "5000.00",
"frcr_buy_amt_smtl": "4500.00",
}
]
}
)
return broker
@pytest.fixture
def mock_domestic_broker(self) -> MagicMock:
"""Create minimal mock domestic broker."""
broker = MagicMock()
return broker
@pytest.fixture
def mock_overseas_market(self) -> MagicMock:
"""Create mock overseas market info."""
market = MagicMock()
market.name = "NASDAQ"
market.code = "US_NASDAQ"
market.exchange_code = "NASD"
market.is_domestic = False
return market
@pytest.fixture
def mock_brain_hold(self) -> MagicMock:
"""Create mock brain that always holds."""
brain = MagicMock()
decision = MagicMock()
decision.action = "HOLD"
decision.confidence = 50
decision.rationale = "Testing balance parsing"
brain.decide = AsyncMock(return_value=decision)
return brain
@pytest.fixture
def mock_risk(self) -> MagicMock:
"""Create mock risk manager."""
return MagicMock()
@pytest.fixture
def mock_db(self) -> MagicMock:
"""Create mock database."""
return MagicMock()
@pytest.fixture
def mock_decision_logger(self) -> MagicMock:
"""Create mock decision logger."""
return MagicMock()
@pytest.fixture
def mock_context_store(self) -> MagicMock:
"""Create mock context store."""
store = MagicMock()
store.get_latest_timeframe = MagicMock(return_value=None)
return store
@pytest.fixture
def mock_criticality_assessor(self) -> MagicMock:
"""Create mock criticality assessor."""
assessor = MagicMock()
assessor.assess_market_conditions = MagicMock(
return_value=MagicMock(value="NORMAL")
)
assessor.get_timeout = MagicMock(return_value=5.0)
return assessor
@pytest.fixture
def mock_telegram(self) -> MagicMock:
"""Create mock telegram client."""
return MagicMock()
@pytest.mark.asyncio
async def test_overseas_balance_list_format(
self,
mock_domestic_broker: MagicMock,
mock_overseas_broker_with_list: MagicMock,
mock_brain_hold: MagicMock,
mock_risk: MagicMock,
mock_db: MagicMock,
mock_decision_logger: MagicMock,
mock_context_store: MagicMock,
mock_criticality_assessor: MagicMock,
mock_telegram: MagicMock,
mock_overseas_market: MagicMock,
) -> None:
"""Test overseas balance parsing with list format (output2=[{...}])."""
with patch("src.main.log_trade"):
# Should not raise KeyError
await trading_cycle(
broker=mock_domestic_broker,
overseas_broker=mock_overseas_broker_with_list,
brain=mock_brain_hold,
risk=mock_risk,
db_conn=mock_db,
decision_logger=mock_decision_logger,
context_store=mock_context_store,
criticality_assessor=mock_criticality_assessor,
telegram=mock_telegram,
market=mock_overseas_market,
stock_code="AAPL",
)
# Verify balance API was called
mock_overseas_broker_with_list.get_overseas_balance.assert_called_once()
@pytest.mark.asyncio
async def test_overseas_balance_dict_format(
self,
mock_domestic_broker: MagicMock,
mock_overseas_broker_with_dict: MagicMock,
mock_brain_hold: MagicMock,
mock_risk: MagicMock,
mock_db: MagicMock,
mock_decision_logger: MagicMock,
mock_context_store: MagicMock,
mock_criticality_assessor: MagicMock,
mock_telegram: MagicMock,
mock_overseas_market: MagicMock,
) -> None:
"""Test overseas balance parsing with dict format (output2={...})."""
with patch("src.main.log_trade"):
# Should not raise KeyError
await trading_cycle(
broker=mock_domestic_broker,
overseas_broker=mock_overseas_broker_with_dict,
brain=mock_brain_hold,
risk=mock_risk,
db_conn=mock_db,
decision_logger=mock_decision_logger,
context_store=mock_context_store,
criticality_assessor=mock_criticality_assessor,
telegram=mock_telegram,
market=mock_overseas_market,
stock_code="AAPL",
)
# Verify balance API was called
mock_overseas_broker_with_dict.get_overseas_balance.assert_called_once()
@pytest.mark.asyncio
async def test_overseas_balance_empty_format(
self,
mock_domestic_broker: MagicMock,
mock_overseas_broker_with_empty: MagicMock,
mock_brain_hold: MagicMock,
mock_risk: MagicMock,
mock_db: MagicMock,
mock_decision_logger: MagicMock,
mock_context_store: MagicMock,
mock_criticality_assessor: MagicMock,
mock_telegram: MagicMock,
mock_overseas_market: MagicMock,
) -> None:
"""Test overseas balance parsing with empty output2."""
with patch("src.main.log_trade"):
# Should not raise KeyError, should default to 0
await trading_cycle(
broker=mock_domestic_broker,
overseas_broker=mock_overseas_broker_with_empty,
brain=mock_brain_hold,
risk=mock_risk,
db_conn=mock_db,
decision_logger=mock_decision_logger,
context_store=mock_context_store,
criticality_assessor=mock_criticality_assessor,
telegram=mock_telegram,
market=mock_overseas_market,
stock_code="AAPL",
)
# Verify balance API was called
mock_overseas_broker_with_empty.get_overseas_balance.assert_called_once()
@pytest.mark.asyncio
async def test_overseas_price_empty_string(
self,
mock_domestic_broker: MagicMock,
mock_overseas_broker_with_empty_price: MagicMock,
mock_brain_hold: MagicMock,
mock_risk: MagicMock,
mock_db: MagicMock,
mock_decision_logger: MagicMock,
mock_context_store: MagicMock,
mock_criticality_assessor: MagicMock,
mock_telegram: MagicMock,
mock_overseas_market: MagicMock,
) -> None:
"""Test overseas price parsing with empty string (issue #49)."""
with patch("src.main.log_trade"):
# Should not raise ValueError, should default to 0.0
await trading_cycle(
broker=mock_domestic_broker,
overseas_broker=mock_overseas_broker_with_empty_price,
brain=mock_brain_hold,
risk=mock_risk,
db_conn=mock_db,
decision_logger=mock_decision_logger,
context_store=mock_context_store,
criticality_assessor=mock_criticality_assessor,
telegram=mock_telegram,
market=mock_overseas_market,
stock_code="AAPL",
)
# Verify price API was called
mock_overseas_broker_with_empty_price.get_overseas_price.assert_called_once()

339
tests/test_telegram.py Normal file
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@@ -0,0 +1,339 @@
"""Tests for Telegram notification client."""
from unittest.mock import AsyncMock, patch
import aiohttp
import pytest
from src.notifications.telegram_client import NotificationPriority, TelegramClient
class TestTelegramClientInit:
"""Test client initialization scenarios."""
def test_disabled_via_flag(self) -> None:
"""Client disabled via enabled=False flag."""
client = TelegramClient(
bot_token="123:abc", chat_id="456", enabled=False
)
assert client._enabled is False
def test_disabled_missing_token(self) -> None:
"""Client disabled when bot_token is None."""
client = TelegramClient(bot_token=None, chat_id="456", enabled=True)
assert client._enabled is False
def test_disabled_missing_chat_id(self) -> None:
"""Client disabled when chat_id is None."""
client = TelegramClient(bot_token="123:abc", chat_id=None, enabled=True)
assert client._enabled is False
def test_enabled_with_credentials(self) -> None:
"""Client enabled when credentials provided."""
client = TelegramClient(
bot_token="123:abc", chat_id="456", enabled=True
)
assert client._enabled is True
class TestNotificationSending:
"""Test notification sending behavior."""
@pytest.mark.asyncio
async def test_send_message_success(self) -> None:
"""send_message returns True on successful send."""
client = TelegramClient(
bot_token="123:abc", chat_id="456", enabled=True
)
mock_resp = AsyncMock()
mock_resp.status = 200
mock_resp.__aenter__ = AsyncMock(return_value=mock_resp)
mock_resp.__aexit__ = AsyncMock(return_value=False)
with patch("aiohttp.ClientSession.post", return_value=mock_resp) as mock_post:
result = await client.send_message("Test message")
assert result is True
assert mock_post.call_count == 1
payload = mock_post.call_args.kwargs["json"]
assert payload["chat_id"] == "456"
assert payload["text"] == "Test message"
assert payload["parse_mode"] == "HTML"
@pytest.mark.asyncio
async def test_send_message_disabled_client(self) -> None:
"""send_message returns False when client disabled."""
client = TelegramClient(enabled=False)
with patch("aiohttp.ClientSession.post") as mock_post:
result = await client.send_message("Test message")
assert result is False
mock_post.assert_not_called()
@pytest.mark.asyncio
async def test_send_message_api_error(self) -> None:
"""send_message returns False on API error."""
client = TelegramClient(
bot_token="123:abc", chat_id="456", enabled=True
)
mock_resp = AsyncMock()
mock_resp.status = 400
mock_resp.text = AsyncMock(return_value="Bad Request")
mock_resp.__aenter__ = AsyncMock(return_value=mock_resp)
mock_resp.__aexit__ = AsyncMock(return_value=False)
with patch("aiohttp.ClientSession.post", return_value=mock_resp):
result = await client.send_message("Test message")
assert result is False
@pytest.mark.asyncio
async def test_send_message_with_markdown(self) -> None:
"""send_message supports different parse modes."""
client = TelegramClient(
bot_token="123:abc", chat_id="456", enabled=True
)
mock_resp = AsyncMock()
mock_resp.status = 200
mock_resp.__aenter__ = AsyncMock(return_value=mock_resp)
mock_resp.__aexit__ = AsyncMock(return_value=False)
with patch("aiohttp.ClientSession.post", return_value=mock_resp) as mock_post:
result = await client.send_message("*bold*", parse_mode="Markdown")
assert result is True
payload = mock_post.call_args.kwargs["json"]
assert payload["parse_mode"] == "Markdown"
@pytest.mark.asyncio
async def test_no_send_when_disabled(self) -> None:
"""Notifications not sent when client disabled."""
client = TelegramClient(enabled=False)
with patch("aiohttp.ClientSession.post") as mock_post:
await client.notify_trade_execution(
stock_code="AAPL",
market="United States",
action="BUY",
quantity=10,
price=150.0,
confidence=85.0,
)
mock_post.assert_not_called()
@pytest.mark.asyncio
async def test_trade_execution_format(self) -> None:
"""Trade notification has correct format."""
client = TelegramClient(
bot_token="123:abc", chat_id="456", enabled=True
)
mock_resp = AsyncMock()
mock_resp.status = 200
mock_resp.__aenter__ = AsyncMock(return_value=mock_resp)
mock_resp.__aexit__ = AsyncMock(return_value=False)
with patch("aiohttp.ClientSession.post", return_value=mock_resp) as mock_post:
await client.notify_trade_execution(
stock_code="TSLA",
market="United States",
action="SELL",
quantity=5,
price=250.50,
confidence=92.0,
)
# Verify API call was made
assert mock_post.call_count == 1
call_args = mock_post.call_args
# Check payload structure
payload = call_args.kwargs["json"]
assert payload["chat_id"] == "456"
assert "TSLA" in payload["text"]
assert "SELL" in payload["text"]
assert "5" in payload["text"]
assert "250.50" in payload["text"]
assert "92%" in payload["text"]
@pytest.mark.asyncio
async def test_circuit_breaker_priority(self) -> None:
"""Circuit breaker uses CRITICAL priority."""
client = TelegramClient(
bot_token="123:abc", chat_id="456", enabled=True
)
mock_resp = AsyncMock()
mock_resp.status = 200
mock_resp.__aenter__ = AsyncMock(return_value=mock_resp)
mock_resp.__aexit__ = AsyncMock(return_value=False)
with patch("aiohttp.ClientSession.post", return_value=mock_resp) as mock_post:
await client.notify_circuit_breaker(pnl_pct=-3.15, threshold=-3.0)
payload = mock_post.call_args.kwargs["json"]
# CRITICAL priority has 🚨 emoji
assert NotificationPriority.CRITICAL.emoji in payload["text"]
assert "-3.15%" in payload["text"]
@pytest.mark.asyncio
async def test_api_error_handling(self) -> None:
"""API errors logged but don't crash."""
client = TelegramClient(
bot_token="123:abc", chat_id="456", enabled=True
)
mock_resp = AsyncMock()
mock_resp.status = 400
mock_resp.text = AsyncMock(return_value="Bad Request")
mock_resp.__aenter__ = AsyncMock(return_value=mock_resp)
mock_resp.__aexit__ = AsyncMock(return_value=False)
with patch("aiohttp.ClientSession.post", return_value=mock_resp):
# Should not raise exception
await client.notify_system_start(mode="paper", enabled_markets=["KR"])
@pytest.mark.asyncio
async def test_timeout_handling(self) -> None:
"""Timeouts logged but don't crash."""
client = TelegramClient(
bot_token="123:abc", chat_id="456", enabled=True
)
with patch(
"aiohttp.ClientSession.post",
side_effect=aiohttp.ClientError("Connection timeout"),
):
# Should not raise exception
await client.notify_error(
error_type="Test Error", error_msg="Test", context="test"
)
@pytest.mark.asyncio
async def test_session_management(self) -> None:
"""Session created and reused correctly."""
client = TelegramClient(
bot_token="123:abc", chat_id="456", enabled=True
)
# Session should be None initially
assert client._session is None
mock_resp = AsyncMock()
mock_resp.status = 200
mock_resp.__aenter__ = AsyncMock(return_value=mock_resp)
mock_resp.__aexit__ = AsyncMock(return_value=False)
with patch("aiohttp.ClientSession.post", return_value=mock_resp):
await client.notify_market_open("Korea")
# Session should be created
assert client._session is not None
session1 = client._session
await client.notify_market_close("Korea", 1.5)
# Same session should be reused
assert client._session is session1
class TestRateLimiting:
"""Test rate limiter behavior."""
@pytest.mark.asyncio
async def test_rate_limiter_enforced(self) -> None:
"""Rate limiter delays rapid requests."""
import time
client = TelegramClient(
bot_token="123:abc", chat_id="456", enabled=True, rate_limit=2.0
)
mock_resp = AsyncMock()
mock_resp.status = 200
mock_resp.__aenter__ = AsyncMock(return_value=mock_resp)
mock_resp.__aexit__ = AsyncMock(return_value=False)
with patch("aiohttp.ClientSession.post", return_value=mock_resp):
start = time.monotonic()
# Send 3 messages (rate: 2/sec = 0.5s per message)
await client.notify_market_open("Korea")
await client.notify_market_open("United States")
await client.notify_market_open("Japan")
elapsed = time.monotonic() - start
# Should take at least 0.4 seconds (3 msgs at 2/sec with some tolerance)
assert elapsed >= 0.4
class TestMessagePriorities:
"""Test priority-based messaging."""
@pytest.mark.asyncio
async def test_low_priority_uses_info_emoji(self) -> None:
"""LOW priority uses emoji."""
client = TelegramClient(
bot_token="123:abc", chat_id="456", enabled=True
)
mock_resp = AsyncMock()
mock_resp.status = 200
mock_resp.__aenter__ = AsyncMock(return_value=mock_resp)
mock_resp.__aexit__ = AsyncMock(return_value=False)
with patch("aiohttp.ClientSession.post", return_value=mock_resp) as mock_post:
await client.notify_market_open("Korea")
payload = mock_post.call_args.kwargs["json"]
assert NotificationPriority.LOW.emoji in payload["text"]
@pytest.mark.asyncio
async def test_critical_priority_uses_alarm_emoji(self) -> None:
"""CRITICAL priority uses 🚨 emoji."""
client = TelegramClient(
bot_token="123:abc", chat_id="456", enabled=True
)
mock_resp = AsyncMock()
mock_resp.status = 200
mock_resp.__aenter__ = AsyncMock(return_value=mock_resp)
mock_resp.__aexit__ = AsyncMock(return_value=False)
with patch("aiohttp.ClientSession.post", return_value=mock_resp) as mock_post:
await client.notify_system_shutdown("Circuit breaker tripped")
payload = mock_post.call_args.kwargs["json"]
assert NotificationPriority.CRITICAL.emoji in payload["text"]
class TestClientCleanup:
"""Test client cleanup behavior."""
@pytest.mark.asyncio
async def test_close_closes_session(self) -> None:
"""close() closes the HTTP session."""
client = TelegramClient(
bot_token="123:abc", chat_id="456", enabled=True
)
mock_session = AsyncMock()
mock_session.closed = False
mock_session.close = AsyncMock()
client._session = mock_session
await client.close()
mock_session.close.assert_called_once()
@pytest.mark.asyncio
async def test_close_handles_no_session(self) -> None:
"""close() handles None session gracefully."""
client = TelegramClient(
bot_token="123:abc", chat_id="456", enabled=True
)
# Should not raise exception
await client.close()

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"""Tests for Telegram command handler."""
from unittest.mock import AsyncMock, patch
import pytest
from src.notifications.telegram_client import TelegramClient, TelegramCommandHandler
class TestCommandHandlerInit:
"""Test command handler initialization."""
def test_init_with_client(self) -> None:
"""Handler initializes with TelegramClient."""
client = TelegramClient(bot_token="123:abc", chat_id="456", enabled=True)
handler = TelegramCommandHandler(client)
assert handler._client is client
assert handler._polling_interval == 1.0
assert handler._commands == {}
assert handler._running is False
def test_custom_polling_interval(self) -> None:
"""Handler accepts custom polling interval."""
client = TelegramClient(bot_token="123:abc", chat_id="456", enabled=True)
handler = TelegramCommandHandler(client, polling_interval=2.5)
assert handler._polling_interval == 2.5
class TestCommandRegistration:
"""Test command registration."""
@pytest.mark.asyncio
async def test_register_command(self) -> None:
"""Commands can be registered."""
client = TelegramClient(bot_token="123:abc", chat_id="456", enabled=True)
handler = TelegramCommandHandler(client)
async def test_handler() -> None:
pass
handler.register_command("test", test_handler)
assert "test" in handler._commands
assert handler._commands["test"] is test_handler
@pytest.mark.asyncio
async def test_register_multiple_commands(self) -> None:
"""Multiple commands can be registered."""
client = TelegramClient(bot_token="123:abc", chat_id="456", enabled=True)
handler = TelegramCommandHandler(client)
async def handler1() -> None:
pass
async def handler2() -> None:
pass
handler.register_command("start", handler1)
handler.register_command("help", handler2)
assert len(handler._commands) == 2
assert handler._commands["start"] is handler1
assert handler._commands["help"] is handler2
class TestPollingLifecycle:
"""Test polling start/stop."""
@pytest.mark.asyncio
async def test_start_polling(self) -> None:
"""Polling can be started."""
client = TelegramClient(bot_token="123:abc", chat_id="456", enabled=True)
handler = TelegramCommandHandler(client)
with patch.object(handler, "_poll_loop", new_callable=AsyncMock):
await handler.start_polling()
assert handler._running is True
assert handler._polling_task is not None
await handler.stop_polling()
@pytest.mark.asyncio
async def test_start_polling_disabled_client(self) -> None:
"""Polling not started when client disabled."""
client = TelegramClient(enabled=False)
handler = TelegramCommandHandler(client)
await handler.start_polling()
assert handler._running is False
assert handler._polling_task is None
@pytest.mark.asyncio
async def test_stop_polling(self) -> None:
"""Polling can be stopped."""
client = TelegramClient(bot_token="123:abc", chat_id="456", enabled=True)
handler = TelegramCommandHandler(client)
with patch.object(handler, "_poll_loop", new_callable=AsyncMock):
await handler.start_polling()
await handler.stop_polling()
assert handler._running is False
@pytest.mark.asyncio
async def test_double_start_ignored(self) -> None:
"""Starting already running handler is ignored."""
client = TelegramClient(bot_token="123:abc", chat_id="456", enabled=True)
handler = TelegramCommandHandler(client)
with patch.object(handler, "_poll_loop", new_callable=AsyncMock):
await handler.start_polling()
task1 = handler._polling_task
await handler.start_polling() # Second start
task2 = handler._polling_task
# Should be the same task
assert task1 is task2
await handler.stop_polling()
class TestUpdateHandling:
"""Test update parsing and handling."""
@pytest.mark.asyncio
async def test_handle_valid_command(self) -> None:
"""Valid commands are executed."""
client = TelegramClient(bot_token="123:abc", chat_id="456", enabled=True)
handler = TelegramCommandHandler(client)
executed = False
async def test_command() -> None:
nonlocal executed
executed = True
handler.register_command("test", test_command)
update = {
"update_id": 1,
"message": {
"chat": {"id": 456},
"text": "/test",
},
}
await handler._handle_update(update)
assert executed is True
@pytest.mark.asyncio
async def test_handle_unknown_command(self) -> None:
"""Unknown commands send help message."""
client = TelegramClient(bot_token="123:abc", chat_id="456", enabled=True)
handler = TelegramCommandHandler(client)
mock_resp = AsyncMock()
mock_resp.status = 200
mock_resp.__aenter__ = AsyncMock(return_value=mock_resp)
mock_resp.__aexit__ = AsyncMock(return_value=False)
with patch("aiohttp.ClientSession.post", return_value=mock_resp) as mock_post:
update = {
"update_id": 1,
"message": {
"chat": {"id": 456},
"text": "/unknown",
},
}
await handler._handle_update(update)
# Should send error message
assert mock_post.call_count == 1
payload = mock_post.call_args.kwargs["json"]
assert "Unknown command" in payload["text"]
assert "/unknown" in payload["text"]
@pytest.mark.asyncio
async def test_ignore_unauthorized_chat(self) -> None:
"""Commands from unauthorized chats are ignored."""
client = TelegramClient(bot_token="123:abc", chat_id="456", enabled=True)
handler = TelegramCommandHandler(client)
executed = False
async def test_command() -> None:
nonlocal executed
executed = True
handler.register_command("test", test_command)
update = {
"update_id": 1,
"message": {
"chat": {"id": 999}, # Wrong chat_id
"text": "/test",
},
}
await handler._handle_update(update)
assert executed is False
@pytest.mark.asyncio
async def test_ignore_non_command_text(self) -> None:
"""Non-command text is ignored."""
client = TelegramClient(bot_token="123:abc", chat_id="456", enabled=True)
handler = TelegramCommandHandler(client)
executed = False
async def test_command() -> None:
nonlocal executed
executed = True
handler.register_command("test", test_command)
update = {
"update_id": 1,
"message": {
"chat": {"id": 456},
"text": "Hello, not a command",
},
}
await handler._handle_update(update)
assert executed is False
@pytest.mark.asyncio
async def test_handle_command_with_botname(self) -> None:
"""Commands with @botname suffix are handled correctly."""
client = TelegramClient(bot_token="123:abc", chat_id="456", enabled=True)
handler = TelegramCommandHandler(client)
executed = False
async def test_command() -> None:
nonlocal executed
executed = True
handler.register_command("start", test_command)
update = {
"update_id": 1,
"message": {
"chat": {"id": 456},
"text": "/start@mybot",
},
}
await handler._handle_update(update)
assert executed is True
@pytest.mark.asyncio
async def test_handle_update_error_isolation(self) -> None:
"""Errors in handlers don't crash the system."""
client = TelegramClient(bot_token="123:abc", chat_id="456", enabled=True)
handler = TelegramCommandHandler(client)
async def failing_command() -> None:
raise ValueError("Test error")
handler.register_command("fail", failing_command)
update = {
"update_id": 1,
"message": {
"chat": {"id": 456},
"text": "/fail",
},
}
# Should not raise exception
await handler._handle_update(update)
class TestTradingControlCommands:
"""Test trading control commands."""
@pytest.mark.asyncio
async def test_stop_command_pauses_trading(self) -> None:
"""Stop command clears pause event."""
client = TelegramClient(bot_token="123:abc", chat_id="456", enabled=True)
handler = TelegramCommandHandler(client)
# Create mock pause event
import asyncio
pause_event = asyncio.Event()
pause_event.set() # Initially active
mock_resp = AsyncMock()
mock_resp.status = 200
mock_resp.__aenter__ = AsyncMock(return_value=mock_resp)
mock_resp.__aexit__ = AsyncMock(return_value=False)
async def mock_stop() -> None:
"""Mock /stop handler."""
if not pause_event.is_set():
await client.send_message("⏸️ Trading is already paused")
return
pause_event.clear()
await client.send_message(
"<b>⏸️ Trading Paused</b>\n\n"
"All trading operations have been suspended.\n"
"Use /resume to restart trading."
)
handler.register_command("stop", mock_stop)
with patch("aiohttp.ClientSession.post", return_value=mock_resp) as mock_post:
update = {
"update_id": 1,
"message": {
"chat": {"id": 456},
"text": "/stop",
},
}
await handler._handle_update(update)
# Verify pause event was cleared
assert not pause_event.is_set()
# Verify message was sent
assert mock_post.call_count == 1
payload = mock_post.call_args.kwargs["json"]
assert "Trading Paused" in payload["text"]
@pytest.mark.asyncio
async def test_resume_command_resumes_trading(self) -> None:
"""Resume command sets pause event."""
client = TelegramClient(bot_token="123:abc", chat_id="456", enabled=True)
handler = TelegramCommandHandler(client)
# Create mock pause event (initially paused)
import asyncio
pause_event = asyncio.Event()
pause_event.clear() # Initially paused
mock_resp = AsyncMock()
mock_resp.status = 200
mock_resp.__aenter__ = AsyncMock(return_value=mock_resp)
mock_resp.__aexit__ = AsyncMock(return_value=False)
async def mock_resume() -> None:
"""Mock /resume handler."""
if pause_event.is_set():
await client.send_message("▶️ Trading is already active")
return
pause_event.set()
await client.send_message(
"<b>▶️ Trading Resumed</b>\n\n"
"Trading operations have been restarted."
)
handler.register_command("resume", mock_resume)
with patch("aiohttp.ClientSession.post", return_value=mock_resp) as mock_post:
update = {
"update_id": 1,
"message": {
"chat": {"id": 456},
"text": "/resume",
},
}
await handler._handle_update(update)
# Verify pause event was set
assert pause_event.is_set()
# Verify message was sent
assert mock_post.call_count == 1
payload = mock_post.call_args.kwargs["json"]
assert "Trading Resumed" in payload["text"]
@pytest.mark.asyncio
async def test_stop_when_already_paused(self) -> None:
"""Stop command when already paused sends appropriate message."""
client = TelegramClient(bot_token="123:abc", chat_id="456", enabled=True)
handler = TelegramCommandHandler(client)
# Create mock pause event (already paused)
import asyncio
pause_event = asyncio.Event()
pause_event.clear()
mock_resp = AsyncMock()
mock_resp.status = 200
mock_resp.__aenter__ = AsyncMock(return_value=mock_resp)
mock_resp.__aexit__ = AsyncMock(return_value=False)
async def mock_stop() -> None:
"""Mock /stop handler."""
if not pause_event.is_set():
await client.send_message("⏸️ Trading is already paused")
return
pause_event.clear()
handler.register_command("stop", mock_stop)
with patch("aiohttp.ClientSession.post", return_value=mock_resp) as mock_post:
update = {
"update_id": 1,
"message": {
"chat": {"id": 456},
"text": "/stop",
},
}
await handler._handle_update(update)
# Verify message was sent
payload = mock_post.call_args.kwargs["json"]
assert "already paused" in payload["text"]
@pytest.mark.asyncio
async def test_resume_when_already_active(self) -> None:
"""Resume command when already active sends appropriate message."""
client = TelegramClient(bot_token="123:abc", chat_id="456", enabled=True)
handler = TelegramCommandHandler(client)
# Create mock pause event (already active)
import asyncio
pause_event = asyncio.Event()
pause_event.set()
mock_resp = AsyncMock()
mock_resp.status = 200
mock_resp.__aenter__ = AsyncMock(return_value=mock_resp)
mock_resp.__aexit__ = AsyncMock(return_value=False)
async def mock_resume() -> None:
"""Mock /resume handler."""
if pause_event.is_set():
await client.send_message("▶️ Trading is already active")
return
pause_event.set()
handler.register_command("resume", mock_resume)
with patch("aiohttp.ClientSession.post", return_value=mock_resp) as mock_post:
update = {
"update_id": 1,
"message": {
"chat": {"id": 456},
"text": "/resume",
},
}
await handler._handle_update(update)
# Verify message was sent
payload = mock_post.call_args.kwargs["json"]
assert "already active" in payload["text"]
class TestStatusCommands:
"""Test status query commands."""
@pytest.mark.asyncio
async def test_status_command_shows_trading_info(self) -> None:
"""Status command displays mode, markets, and P&L."""
client = TelegramClient(bot_token="123:abc", chat_id="456", enabled=True)
handler = TelegramCommandHandler(client)
mock_resp = AsyncMock()
mock_resp.status = 200
mock_resp.__aenter__ = AsyncMock(return_value=mock_resp)
mock_resp.__aexit__ = AsyncMock(return_value=False)
async def mock_status() -> None:
"""Mock /status handler."""
message = (
"<b>📊 Trading Status</b>\n\n"
"<b>Mode:</b> PAPER\n"
"<b>Markets:</b> Korea, United States\n"
"<b>Trading:</b> Active\n\n"
"<b>Current P&L:</b> +2.50%\n"
"<b>Circuit Breaker:</b> -3.0%"
)
await client.send_message(message)
handler.register_command("status", mock_status)
with patch("aiohttp.ClientSession.post", return_value=mock_resp) as mock_post:
update = {
"update_id": 1,
"message": {
"chat": {"id": 456},
"text": "/status",
},
}
await handler._handle_update(update)
# Verify message was sent
assert mock_post.call_count == 1
payload = mock_post.call_args.kwargs["json"]
assert "Trading Status" in payload["text"]
assert "PAPER" in payload["text"]
assert "P&L" in payload["text"]
@pytest.mark.asyncio
async def test_status_command_error_handling(self) -> None:
"""Status command handles errors gracefully."""
client = TelegramClient(bot_token="123:abc", chat_id="456", enabled=True)
handler = TelegramCommandHandler(client)
mock_resp = AsyncMock()
mock_resp.status = 200
mock_resp.__aenter__ = AsyncMock(return_value=mock_resp)
mock_resp.__aexit__ = AsyncMock(return_value=False)
async def mock_status_error() -> None:
"""Mock /status handler with error."""
await client.send_message(
"<b>⚠️ Error</b>\n\nFailed to retrieve trading status."
)
handler.register_command("status", mock_status_error)
with patch("aiohttp.ClientSession.post", return_value=mock_resp) as mock_post:
update = {
"update_id": 1,
"message": {
"chat": {"id": 456},
"text": "/status",
},
}
await handler._handle_update(update)
# Should send error message
payload = mock_post.call_args.kwargs["json"]
assert "Error" in payload["text"]
@pytest.mark.asyncio
async def test_positions_command_shows_holdings(self) -> None:
"""Positions command displays current holdings."""
client = TelegramClient(bot_token="123:abc", chat_id="456", enabled=True)
handler = TelegramCommandHandler(client)
mock_resp = AsyncMock()
mock_resp.status = 200
mock_resp.__aenter__ = AsyncMock(return_value=mock_resp)
mock_resp.__aexit__ = AsyncMock(return_value=False)
async def mock_positions() -> None:
"""Mock /positions handler."""
message = (
"<b>💼 Current Holdings</b>\n"
"\n🇰🇷 <b>Korea</b>\n"
"• 005930: 10 shares @ 70,000\n"
"\n🇺🇸 <b>Overseas</b>\n"
"• AAPL: 15 shares @ 175\n"
"\n<b>Cash:</b> ₩5,000,000"
)
await client.send_message(message)
handler.register_command("positions", mock_positions)
with patch("aiohttp.ClientSession.post", return_value=mock_resp) as mock_post:
update = {
"update_id": 1,
"message": {
"chat": {"id": 456},
"text": "/positions",
},
}
await handler._handle_update(update)
# Verify message was sent
assert mock_post.call_count == 1
payload = mock_post.call_args.kwargs["json"]
assert "Current Holdings" in payload["text"]
assert "shares" in payload["text"]
@pytest.mark.asyncio
async def test_positions_command_empty_holdings(self) -> None:
"""Positions command handles empty portfolio."""
client = TelegramClient(bot_token="123:abc", chat_id="456", enabled=True)
handler = TelegramCommandHandler(client)
mock_resp = AsyncMock()
mock_resp.status = 200
mock_resp.__aenter__ = AsyncMock(return_value=mock_resp)
mock_resp.__aexit__ = AsyncMock(return_value=False)
async def mock_positions_empty() -> None:
"""Mock /positions handler with no positions."""
message = (
"<b>💼 Current Holdings</b>\n\n"
"No positions currently held."
)
await client.send_message(message)
handler.register_command("positions", mock_positions_empty)
with patch("aiohttp.ClientSession.post", return_value=mock_resp) as mock_post:
update = {
"update_id": 1,
"message": {
"chat": {"id": 456},
"text": "/positions",
},
}
await handler._handle_update(update)
# Verify message was sent
payload = mock_post.call_args.kwargs["json"]
assert "No positions" in payload["text"]
@pytest.mark.asyncio
async def test_positions_command_error_handling(self) -> None:
"""Positions command handles errors gracefully."""
client = TelegramClient(bot_token="123:abc", chat_id="456", enabled=True)
handler = TelegramCommandHandler(client)
mock_resp = AsyncMock()
mock_resp.status = 200
mock_resp.__aenter__ = AsyncMock(return_value=mock_resp)
mock_resp.__aexit__ = AsyncMock(return_value=False)
async def mock_positions_error() -> None:
"""Mock /positions handler with error."""
await client.send_message(
"<b>⚠️ Error</b>\n\nFailed to retrieve positions."
)
handler.register_command("positions", mock_positions_error)
with patch("aiohttp.ClientSession.post", return_value=mock_resp) as mock_post:
update = {
"update_id": 1,
"message": {
"chat": {"id": 456},
"text": "/positions",
},
}
await handler._handle_update(update)
# Should send error message
payload = mock_post.call_args.kwargs["json"]
assert "Error" in payload["text"]
class TestBasicCommands:
"""Test basic command implementations."""
@pytest.mark.asyncio
async def test_help_command_content(self) -> None:
"""Help command lists all available commands."""
client = TelegramClient(bot_token="123:abc", chat_id="456", enabled=True)
handler = TelegramCommandHandler(client)
mock_resp = AsyncMock()
mock_resp.status = 200
mock_resp.__aenter__ = AsyncMock(return_value=mock_resp)
mock_resp.__aexit__ = AsyncMock(return_value=False)
async def mock_help() -> None:
"""Mock /help handler."""
message = (
"<b>📖 Available Commands</b>\n\n"
"/help - Show available commands\n"
"/status - Trading status (mode, markets, P&L)\n"
"/positions - Current holdings\n"
"/stop - Pause trading\n"
"/resume - Resume trading"
)
await client.send_message(message)
handler.register_command("help", mock_help)
with patch("aiohttp.ClientSession.post", return_value=mock_resp) as mock_post:
update = {
"update_id": 1,
"message": {
"chat": {"id": 456},
"text": "/help",
},
}
await handler._handle_update(update)
# Verify message was sent
assert mock_post.call_count == 1
payload = mock_post.call_args.kwargs["json"]
assert "Available Commands" in payload["text"]
assert "/help" in payload["text"]
assert "/status" in payload["text"]
assert "/positions" in payload["text"]
assert "/stop" in payload["text"]
assert "/resume" in payload["text"]
class TestGetUpdates:
"""Test getUpdates API interaction."""
@pytest.mark.asyncio
async def test_get_updates_success(self) -> None:
"""getUpdates fetches and parses updates."""
client = TelegramClient(bot_token="123:abc", chat_id="456", enabled=True)
handler = TelegramCommandHandler(client)
mock_resp = AsyncMock()
mock_resp.status = 200
mock_resp.json = AsyncMock(
return_value={
"ok": True,
"result": [
{"update_id": 1, "message": {"text": "/test"}},
{"update_id": 2, "message": {"text": "/help"}},
],
}
)
mock_resp.__aenter__ = AsyncMock(return_value=mock_resp)
mock_resp.__aexit__ = AsyncMock(return_value=False)
with patch("aiohttp.ClientSession.post", return_value=mock_resp):
updates = await handler._get_updates()
assert len(updates) == 2
assert updates[0]["update_id"] == 1
assert updates[1]["update_id"] == 2
assert handler._last_update_id == 2
@pytest.mark.asyncio
async def test_get_updates_api_error(self) -> None:
"""getUpdates handles API errors gracefully."""
client = TelegramClient(bot_token="123:abc", chat_id="456", enabled=True)
handler = TelegramCommandHandler(client)
mock_resp = AsyncMock()
mock_resp.status = 400
mock_resp.text = AsyncMock(return_value="Bad Request")
mock_resp.__aenter__ = AsyncMock(return_value=mock_resp)
mock_resp.__aexit__ = AsyncMock(return_value=False)
with patch("aiohttp.ClientSession.post", return_value=mock_resp):
updates = await handler._get_updates()
assert updates == []
@pytest.mark.asyncio
async def test_get_updates_empty_result(self) -> None:
"""getUpdates handles empty results."""
client = TelegramClient(bot_token="123:abc", chat_id="456", enabled=True)
handler = TelegramCommandHandler(client)
mock_resp = AsyncMock()
mock_resp.status = 200
mock_resp.json = AsyncMock(return_value={"ok": True, "result": []})
mock_resp.__aenter__ = AsyncMock(return_value=mock_resp)
mock_resp.__aexit__ = AsyncMock(return_value=False)
with patch("aiohttp.ClientSession.post", return_value=mock_resp):
updates = await handler._get_updates()
assert updates == []

View File

@@ -2,6 +2,7 @@
from __future__ import annotations from __future__ import annotations
import asyncio
import sqlite3 import sqlite3
from typing import Any from typing import Any
from unittest.mock import AsyncMock from unittest.mock import AsyncMock
@@ -338,6 +339,28 @@ class TestMarketScanner:
assert metrics.stock_code == "AAPL" assert metrics.stock_code == "AAPL"
assert metrics.current_price == 150.50 assert metrics.current_price == 150.50
@pytest.mark.asyncio
async def test_scan_stock_overseas_empty_price(
self,
scanner: MarketScanner,
mock_overseas_broker: OverseasBroker,
context_store: ContextStore,
) -> None:
"""Test scanning overseas stock with empty price string (issue #49)."""
mock_overseas_broker.get_overseas_price.return_value = {
"output": {
"last": "", # Empty string
"tvol": "", # Empty string
}
}
market = MARKETS["US_NASDAQ"]
metrics = await scanner.scan_stock("AAPL", market)
assert metrics is not None
assert metrics.stock_code == "AAPL"
assert metrics.current_price == 0.0 # Should default to 0.0
@pytest.mark.asyncio @pytest.mark.asyncio
async def test_scan_stock_error_handling( async def test_scan_stock_error_handling(
self, self,
@@ -509,3 +532,45 @@ class TestMarketScanner:
new_additions = [code for code in updated if code not in current_watchlist] new_additions = [code for code in updated if code not in current_watchlist]
assert len(new_additions) <= 1 assert len(new_additions) <= 1
assert len(updated) == len(current_watchlist) assert len(updated) == len(current_watchlist)
@pytest.mark.asyncio
async def test_scan_market_respects_concurrency_limit(
self,
mock_broker: KISBroker,
mock_overseas_broker: OverseasBroker,
volatility_analyzer: VolatilityAnalyzer,
context_store: ContextStore,
) -> None:
"""scan_market should limit concurrent scans to max_concurrent_scans."""
max_concurrent = 2
scanner = MarketScanner(
broker=mock_broker,
overseas_broker=mock_overseas_broker,
volatility_analyzer=volatility_analyzer,
context_store=context_store,
top_n=5,
max_concurrent_scans=max_concurrent,
)
# Track peak concurrency
active_count = 0
peak_count = 0
original_scan = scanner.scan_stock
async def tracking_scan(code: str, market: Any) -> VolatilityMetrics:
nonlocal active_count, peak_count
active_count += 1
peak_count = max(peak_count, active_count)
await asyncio.sleep(0.05) # Simulate API call duration
active_count -= 1
return VolatilityMetrics(code, 50000, 500, 1.0, 1.0, 1.0, 1.0, 10.0, 50.0)
scanner.scan_stock = tracking_scan # type: ignore[method-assign]
market = MARKETS["KR"]
stock_codes = ["001", "002", "003", "004", "005", "006"]
await scanner.scan_market(market, stock_codes)
assert peak_count <= max_concurrent