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Author SHA1 Message Date
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
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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Reviewed-on: #39
2026-02-04 23:44:49 +09:00
9 changed files with 490 additions and 42 deletions

View File

@@ -16,8 +16,9 @@ CONFIDENCE_THRESHOLD=80
# Database
DB_PATH=data/trade_logs.db
# Rate Limiting
RATE_LIMIT_RPS=10.0
# Rate Limiting (requests per second for KIS API)
# Reduced to 5.0 to avoid "초당 거래건수 초과" errors (EGW00201)
RATE_LIMIT_RPS=5.0
# Trading Mode (paper / live)
MODE=paper

View File

@@ -17,6 +17,34 @@ pytest -v --cov=src
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
- **[Workflow Guide](docs/workflow.md)** — Git workflow policy and agent-based development
@@ -42,11 +70,12 @@ src/
├── core/ # Risk manager (READ-ONLY)
├── evolution/ # Self-improvement optimizer
├── markets/ # Market schedules and timezone handling
├── notifications/ # Telegram real-time alerts
├── db.py # SQLite trade logging
├── main.py # Trading loop orchestrator
└── config.py # Settings (from .env)
tests/ # 54 tests across 4 files
tests/ # 273 tests across 13 files
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) |
| 두뇌 | `src/brain/gemini_client.py` | Gemini 프롬프트 구성 및 JSON 응답 파싱 |
| 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 |
| DB | `src/db.py` | SQLite 거래 로그 기록 |
@@ -75,6 +76,34 @@ python -m src.main --mode=paper
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
35개 테스트가 TDD 방식으로 구현 전에 먼저 작성되었습니다.
@@ -111,6 +140,7 @@ The-Ouroboros/
│ ├── broker/kis_api.py # KIS API 클라이언트
│ ├── brain/gemini_client.py # Gemini 의사결정 엔진
│ ├── core/risk_manager.py # 리스크 관리
│ ├── notifications/telegram_client.py # 텔레그램 알림
│ ├── evolution/optimizer.py # 전략 진화 엔진
│ └── strategies/base.py # 전략 베이스 클래스
├── tests/ # TDD 테스트 스위트

View File

@@ -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
- 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
@@ -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 │
│ - SQLite (data/trades.db) │
│ - Track: action, confidence, │
@@ -164,6 +191,11 @@ CONFIDENCE_THRESHOLD=80
MAX_LOSS_PCT=3.0
MAX_ORDER_PCT=30.0
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`.
@@ -189,3 +221,12 @@ Tests use in-memory SQLite (`DB_PATH=":memory:"`) and dummy credentials via `tes
- Wait until next market opens
- Use `get_next_market_open()` to calculate wait 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.

View File

@@ -55,6 +55,7 @@ class KISBroker:
self._session: aiohttp.ClientSession | None = None
self._access_token: str | None = None
self._token_expires_at: float = 0.0
self._token_lock = asyncio.Lock()
self._rate_limiter = LeakyBucket(settings.RATE_LIMIT_RPS)
def _get_session(self) -> aiohttp.ClientSession:
@@ -80,7 +81,19 @@ class KISBroker:
# ------------------------------------------------------------------
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()
if self._access_token and now < self._token_expires_at:
return self._access_token
# Slow path: acquire lock and refresh
async with self._token_lock:
# Re-check after acquiring lock (another coroutine may have refreshed)
now = asyncio.get_event_loop().time()
if self._access_token and now < self._token_expires_at:
return self._access_token

View File

@@ -37,7 +37,8 @@ class Settings(BaseSettings):
DB_PATH: str = "data/trade_logs.db"
# 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
MODE: str = Field(default="paper", pattern="^(paper|live)$")

View File

@@ -33,6 +33,35 @@ from src.notifications.telegram_client import TelegramClient
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
WATCHLISTS = {
"KR": ["005930", "000660", "035420"], # Samsung, SK Hynix, NAVER
@@ -77,16 +106,16 @@ async def trading_cycle(
balance_data = await broker.get_balance()
output2 = balance_data.get("output2", [{}])
total_eval = float(output2[0].get("tot_evlu_amt", "0")) if output2 else 0
total_cash = float(
total_eval = safe_float(output2[0].get("tot_evlu_amt", "0")) if output2 else 0
total_cash = safe_float(
balance_data.get("output2", [{}])[0].get("dnca_tot_amt", "0")
if output2
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"))
foreigner_net = float(orderbook.get("output1", {}).get("frgn_ntby_qty", "0"))
current_price = safe_float(orderbook.get("output1", {}).get("stck_prpr", "0"))
foreigner_net = safe_float(orderbook.get("output1", {}).get("frgn_ntby_qty", "0"))
else:
# Overseas market
price_data = await overseas_broker.get_overseas_price(
@@ -95,11 +124,19 @@ async def trading_cycle(
balance_data = await overseas_broker.get_overseas_balance(market.exchange_code)
output2 = balance_data.get("output2", [{}])
total_eval = float(output2[0].get("frcr_evlu_tota", "0")) if output2 else 0
total_cash = float(output2[0].get("frcr_dncl_amt_2", "0")) if output2 else 0
purchase_total = float(output2[0].get("frcr_buy_amt_smtl", "0")) if output2 else 0
# Handle both list and dict response formats
if isinstance(output2, list) and output2:
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
# Calculate daily P&L %
@@ -512,7 +549,9 @@ async def run(settings: Settings) -> None:
except TimeoutError:
pass # Normal — timeout means it's time for next cycle
finally:
# Clean up resources
await broker.close()
await telegram.close()
db_conn.close()
logger.info("The Ouroboros rests.")

View File

@@ -49,6 +49,46 @@ class TestTokenManagement:
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

View File

@@ -6,7 +6,43 @@ from unittest.mock import AsyncMock, MagicMock, patch
import pytest
from src.core.risk_manager import CircuitBreakerTripped, FatFingerRejected
from src.main import trading_cycle
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:
@@ -341,3 +377,221 @@ class TestRunFunctionTelegramIntegration:
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()