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The-Ouroboros/tests/test_brain.py
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feat: implement timezone-based global market auto-selection
Implement comprehensive multi-market trading system with automatic
market selection based on timezone and trading hours.

## New Features
- Market schedule module with 10 global markets (KR, US, JP, HK, CN, VN)
- Overseas broker for KIS API international stock trading
- Automatic market detection based on current time and timezone
- Next market open waiting logic when all markets closed
- ConnectionError retry with exponential backoff (max 3 attempts)

## Architecture Changes
- Market-aware trading cycle with domestic/overseas broker routing
- Market context in AI prompts for better decision making
- Database schema extended with market and exchange_code columns
- Config setting ENABLED_MARKETS for market selection

## Testing
- 19 new tests for market schedule (timezone, DST, lunch breaks)
- All 54 tests passing
- Lint fixes with ruff

## Files Added
- src/markets/schedule.py - Market schedule and timezone logic
- src/broker/overseas.py - KIS overseas stock API client
- tests/test_market_schedule.py - Market schedule test suite

## Files Modified
- src/main.py - Multi-market main loop with retry logic
- src/config.py - ENABLED_MARKETS setting
- src/db.py - market/exchange_code columns with migration
- src/brain/gemini_client.py - Dynamic market context in prompts

Resolves #5

Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
2026-02-04 09:29:25 +09:00

155 lines
5.8 KiB
Python

"""TDD tests for brain/gemini_client.py — written BEFORE implementation."""
from __future__ import annotations
from src.brain.gemini_client import GeminiClient
# ---------------------------------------------------------------------------
# Response Parsing
# ---------------------------------------------------------------------------
class TestResponseParsing:
"""Gemini responses must be parsed into validated TradeDecision objects."""
def test_valid_buy_response(self, settings):
client = GeminiClient(settings)
raw = '{"action": "BUY", "confidence": 90, "rationale": "Strong momentum"}'
decision = client.parse_response(raw)
assert decision.action == "BUY"
assert decision.confidence == 90
assert decision.rationale == "Strong momentum"
def test_valid_sell_response(self, settings):
client = GeminiClient(settings)
raw = '{"action": "SELL", "confidence": 85, "rationale": "Overbought RSI"}'
decision = client.parse_response(raw)
assert decision.action == "SELL"
def test_valid_hold_response(self, settings):
client = GeminiClient(settings)
raw = '{"action": "HOLD", "confidence": 95, "rationale": "Sideways market"}'
decision = client.parse_response(raw)
assert decision.action == "HOLD"
# ---------------------------------------------------------------------------
# Confidence Threshold Enforcement
# ---------------------------------------------------------------------------
class TestConfidenceThreshold:
"""If confidence < 80, the action MUST be forced to HOLD."""
def test_low_confidence_buy_becomes_hold(self, settings):
client = GeminiClient(settings)
raw = '{"action": "BUY", "confidence": 65, "rationale": "Weak signal"}'
decision = client.parse_response(raw)
assert decision.action == "HOLD"
assert decision.confidence == 65
def test_low_confidence_sell_becomes_hold(self, settings):
client = GeminiClient(settings)
raw = '{"action": "SELL", "confidence": 79, "rationale": "Uncertain"}'
decision = client.parse_response(raw)
assert decision.action == "HOLD"
def test_exactly_threshold_is_allowed(self, settings):
client = GeminiClient(settings)
raw = '{"action": "BUY", "confidence": 80, "rationale": "Just enough"}'
decision = client.parse_response(raw)
assert decision.action == "BUY"
# ---------------------------------------------------------------------------
# Malformed JSON Handling
# ---------------------------------------------------------------------------
class TestMalformedJsonHandling:
"""Gemini may return garbage — the parser must not crash."""
def test_empty_string_returns_hold(self, settings):
client = GeminiClient(settings)
decision = client.parse_response("")
assert decision.action == "HOLD"
assert decision.confidence == 0
def test_plain_text_returns_hold(self, settings):
client = GeminiClient(settings)
decision = client.parse_response("I think you should buy Samsung stock")
assert decision.action == "HOLD"
assert decision.confidence == 0
def test_partial_json_returns_hold(self, settings):
client = GeminiClient(settings)
decision = client.parse_response('{"action": "BUY", "confidence":')
assert decision.action == "HOLD"
assert decision.confidence == 0
def test_json_with_missing_fields_returns_hold(self, settings):
client = GeminiClient(settings)
decision = client.parse_response('{"action": "BUY"}')
assert decision.action == "HOLD"
assert decision.confidence == 0
def test_json_with_invalid_action_returns_hold(self, settings):
client = GeminiClient(settings)
decision = client.parse_response(
'{"action": "YOLO", "confidence": 99, "rationale": "moon"}'
)
assert decision.action == "HOLD"
assert decision.confidence == 0
def test_json_wrapped_in_markdown_code_block(self, settings):
"""Gemini often wraps JSON in ```json ... ``` blocks."""
client = GeminiClient(settings)
raw = '```json\n{"action": "BUY", "confidence": 92, "rationale": "Good"}\n```'
decision = client.parse_response(raw)
assert decision.action == "BUY"
assert decision.confidence == 92
# ---------------------------------------------------------------------------
# Prompt Construction
# ---------------------------------------------------------------------------
class TestPromptConstruction:
"""The prompt sent to Gemini must include all required market data."""
def test_prompt_contains_stock_code(self, settings):
client = GeminiClient(settings)
market_data = {
"stock_code": "005930",
"current_price": 72000,
"orderbook": {"asks": [], "bids": []},
"foreigner_net": -50000,
}
prompt = client.build_prompt(market_data)
assert "005930" in prompt
def test_prompt_contains_price(self, settings):
client = GeminiClient(settings)
market_data = {
"stock_code": "005930",
"current_price": 72000,
"orderbook": {"asks": [], "bids": []},
"foreigner_net": -50000,
}
prompt = client.build_prompt(market_data)
assert "72000" in prompt
def test_prompt_enforces_json_output_format(self, settings):
client = GeminiClient(settings)
market_data = {
"stock_code": "005930",
"current_price": 72000,
"orderbook": {"asks": [], "bids": []},
"foreigner_net": 0,
}
prompt = client.build_prompt(market_data)
assert "JSON" in prompt
assert "action" in prompt
assert "confidence" in prompt