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Author SHA1 Message Date
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
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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Reviewed-on: #47
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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Reviewed-on: #46
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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Reviewed-on: #45
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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Reviewed-on: #40
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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Reviewed-on: #38
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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Reviewed-on: #37
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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Reviewed-on: #36
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
14 changed files with 1740 additions and 48 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

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@@ -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
@@ -42,11 +70,12 @@ 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
``` ```

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@@ -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

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@@ -51,7 +51,26 @@ 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 +134,14 @@ 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 +191,11 @@ 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
# 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 +221,12 @@ 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.

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@@ -76,6 +76,10 @@ class MarketScanner:
if market.is_domestic: if market.is_domestic:
orderbook = await self.broker.get_orderbook(stock_code) orderbook = await self.broker.get_orderbook(stock_code)
else: else:
# Rate limiting: Add 200ms delay for overseas API calls
# to prevent hitting KIS API rate limit (EGW00201)
await asyncio.sleep(0.2)
# For overseas, we need to adapt the price data structure # For overseas, we need to adapt the price data structure
price_data = await self.overseas_broker.get_overseas_price( price_data = await self.overseas_broker.get_overseas_price(
market.exchange_code, stock_code market.exchange_code, stock_code

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@@ -55,6 +55,7 @@ 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._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 +81,42 @@ 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: logger.info("Refreshing KIS access token")
if resp.status != 200: session = self._get_session()
text = await resp.text() url = f"{self._base_url}/oauth2/tokenP"
raise ConnectionError(f"Token refresh failed ({resp.status}): {text}") body = {
data = await resp.json() "grant_type": "client_credentials",
"appkey": self._app_key,
"appsecret": self._app_secret,
}
self._access_token = data["access_token"] async with session.post(url, json=body) as resp:
self._token_expires_at = now + data.get("expires_in", 86400) - 60 # 1-min buffer if resp.status != 200:
logger.info("Token refreshed successfully") text = await resp.text()
return self._access_token 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)

View File

@@ -37,7 +37,8 @@ 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 # Reduced to 5.0 to avoid EGW00201 "초당 거래건수 초과" errors
RATE_LIMIT_RPS: float = 5.0
# Trading mode # Trading mode
MODE: str = Field(default="paper", pattern="^(paper|live)$") MODE: str = Field(default="paper", pattern="^(paper|live)$")
@@ -54,6 +55,11 @@ 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
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
@@ -62,6 +93,7 @@ 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 +106,16 @@ 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 +124,19 @@ 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 +239,23 @@ 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 +275,19 @@ 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,
@@ -266,6 +331,13 @@ 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 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(
@@ -289,6 +361,9 @@ 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
shutdown = asyncio.Event() shutdown = asyncio.Event()
def _signal_handler() -> None: def _signal_handler() -> None:
@@ -302,12 +377,31 @@ async def run(settings: Settings) -> None:
logger.info("The Ouroboros is alive. Mode: %s", settings.MODE) logger.info("The Ouroboros is alive. Mode: %s", settings.MODE)
logger.info("Enabled markets: %s", settings.enabled_market_list) logger.info("Enabled markets: %s", settings.enabled_market_list)
# Notify system startup
try:
await telegram.notify_system_start(settings.MODE, settings.enabled_market_list)
except Exception as exc:
logger.warning("System startup notification failed: %s", exc)
try: try:
while not shutdown.is_set(): while not shutdown.is_set():
# Get currently open markets # Get currently open markets
open_markets = get_open_markets(settings.enabled_market_list) open_markets = get_open_markets(settings.enabled_market_list)
if not open_markets: 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 # No markets open — wait until next market opens
try: try:
next_market, next_open_time = get_next_market_open( next_market, next_open_time = get_next_market_open(
@@ -333,6 +427,14 @@ async def run(settings: Settings) -> None:
if shutdown.is_set(): if shutdown.is_set():
break break
# Notify market open if it just opened
if not _market_states.get(market.code, False):
try:
await telegram.notify_market_open(market.name)
except Exception as exc:
logger.warning("Market open notification failed: %s", exc)
_market_states[market.code] = True
# Volatility Hunter: Scan market periodically to update watchlist # Volatility Hunter: Scan market periodically to update watchlist
now_timestamp = asyncio.get_event_loop().time() now_timestamp = asyncio.get_event_loop().time()
last_scan = last_scan_time.get(market.code, 0.0) last_scan = last_scan_time.get(market.code, 0.0)
@@ -391,12 +493,22 @@ async def run(settings: Settings) -> None:
decision_logger, decision_logger,
context_store, context_store,
criticality_assessor, criticality_assessor,
telegram,
market, market,
stock_code, stock_code,
) )
break # Success — exit retry loop break # Success — exit retry loop
except CircuitBreakerTripped: except CircuitBreakerTripped as exc:
logger.critical("Circuit breaker tripped — shutting down") 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 raise
except ConnectionError as exc: except ConnectionError as exc:
if attempt < MAX_CONNECTION_RETRIES: if attempt < MAX_CONNECTION_RETRIES:

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 +1,325 @@
"""Telegram notification client for real-time trading alerts."""
import asyncio
import logging
import time
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_notification(self, msg: NotificationMessage) -> None:
"""
Send notification to Telegram with graceful degradation.
Args:
msg: Notification message to send
"""
if not self._enabled:
return
try:
await self._rate_limiter.acquire()
formatted_message = f"{msg.priority.emoji} {msg.message}"
url = f"{self.API_BASE.format(token=self._bot_token)}/sendMessage"
payload = {
"chat_id": self._chat_id,
"text": formatted_message,
"parse_mode": "HTML",
}
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
)
else:
logger.debug("Telegram notification sent: %s", msg.message[:50])
except asyncio.TimeoutError:
logger.error("Telegram notification timeout")
except aiohttp.ClientError as exc:
logger.error("Telegram notification failed: %s", exc)
except Exception as exc:
logger.error("Unexpected error sending notification: %s", exc)
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)
)

View File

@@ -49,6 +49,46 @@ 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()
# --------------------------------------------------------------------------- # ---------------------------------------------------------------------------
# Network Error Handling # Network Error Handling

597
tests/test_main.py Normal file
View File

@@ -0,0 +1,597 @@
"""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_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()

269
tests/test_telegram.py Normal file
View File

@@ -0,0 +1,269 @@
"""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_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()