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Implement the full autonomous trading agent architecture: - KIS broker with async API, token refresh, leaky bucket rate limiter, and hash key signing - Gemini-powered decision engine with JSON parsing and confidence threshold enforcement - Risk manager with circuit breaker (-3% P&L) and fat finger protection (30% cap) - Evolution engine for self-improving strategy generation via failure analysis - 35 passing tests written TDD-first covering risk, broker, and brain modules - CI/CD pipeline, Docker multi-stage build, and AI agent context docs Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
160 lines
5.9 KiB
Python
160 lines
5.9 KiB
Python
"""TDD tests for brain/gemini_client.py — written BEFORE implementation."""
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from __future__ import annotations
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from unittest.mock import AsyncMock, MagicMock, patch
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import pytest
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from src.brain.gemini_client import GeminiClient, TradeDecision
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# ---------------------------------------------------------------------------
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# Response Parsing
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# ---------------------------------------------------------------------------
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class TestResponseParsing:
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"""Gemini responses must be parsed into validated TradeDecision objects."""
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def test_valid_buy_response(self, settings):
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client = GeminiClient(settings)
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raw = '{"action": "BUY", "confidence": 90, "rationale": "Strong momentum"}'
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decision = client.parse_response(raw)
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assert decision.action == "BUY"
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assert decision.confidence == 90
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assert decision.rationale == "Strong momentum"
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def test_valid_sell_response(self, settings):
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client = GeminiClient(settings)
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raw = '{"action": "SELL", "confidence": 85, "rationale": "Overbought RSI"}'
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decision = client.parse_response(raw)
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assert decision.action == "SELL"
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def test_valid_hold_response(self, settings):
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client = GeminiClient(settings)
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raw = '{"action": "HOLD", "confidence": 95, "rationale": "Sideways market"}'
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decision = client.parse_response(raw)
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assert decision.action == "HOLD"
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# ---------------------------------------------------------------------------
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# Confidence Threshold Enforcement
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# ---------------------------------------------------------------------------
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class TestConfidenceThreshold:
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"""If confidence < 80, the action MUST be forced to HOLD."""
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def test_low_confidence_buy_becomes_hold(self, settings):
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client = GeminiClient(settings)
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raw = '{"action": "BUY", "confidence": 65, "rationale": "Weak signal"}'
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decision = client.parse_response(raw)
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assert decision.action == "HOLD"
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assert decision.confidence == 65
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def test_low_confidence_sell_becomes_hold(self, settings):
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client = GeminiClient(settings)
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raw = '{"action": "SELL", "confidence": 79, "rationale": "Uncertain"}'
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decision = client.parse_response(raw)
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assert decision.action == "HOLD"
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def test_exactly_threshold_is_allowed(self, settings):
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client = GeminiClient(settings)
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raw = '{"action": "BUY", "confidence": 80, "rationale": "Just enough"}'
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decision = client.parse_response(raw)
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assert decision.action == "BUY"
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# ---------------------------------------------------------------------------
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# Malformed JSON Handling
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# ---------------------------------------------------------------------------
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class TestMalformedJsonHandling:
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"""Gemini may return garbage — the parser must not crash."""
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def test_empty_string_returns_hold(self, settings):
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client = GeminiClient(settings)
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decision = client.parse_response("")
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assert decision.action == "HOLD"
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assert decision.confidence == 0
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def test_plain_text_returns_hold(self, settings):
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client = GeminiClient(settings)
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decision = client.parse_response("I think you should buy Samsung stock")
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assert decision.action == "HOLD"
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assert decision.confidence == 0
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def test_partial_json_returns_hold(self, settings):
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client = GeminiClient(settings)
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decision = client.parse_response('{"action": "BUY", "confidence":')
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assert decision.action == "HOLD"
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assert decision.confidence == 0
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def test_json_with_missing_fields_returns_hold(self, settings):
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client = GeminiClient(settings)
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decision = client.parse_response('{"action": "BUY"}')
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assert decision.action == "HOLD"
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assert decision.confidence == 0
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def test_json_with_invalid_action_returns_hold(self, settings):
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client = GeminiClient(settings)
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decision = client.parse_response(
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'{"action": "YOLO", "confidence": 99, "rationale": "moon"}'
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)
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assert decision.action == "HOLD"
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assert decision.confidence == 0
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def test_json_wrapped_in_markdown_code_block(self, settings):
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"""Gemini often wraps JSON in ```json ... ``` blocks."""
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client = GeminiClient(settings)
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raw = '```json\n{"action": "BUY", "confidence": 92, "rationale": "Good"}\n```'
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decision = client.parse_response(raw)
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assert decision.action == "BUY"
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assert decision.confidence == 92
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# ---------------------------------------------------------------------------
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# Prompt Construction
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# ---------------------------------------------------------------------------
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class TestPromptConstruction:
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"""The prompt sent to Gemini must include all required market data."""
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def test_prompt_contains_stock_code(self, settings):
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client = GeminiClient(settings)
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market_data = {
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"stock_code": "005930",
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"current_price": 72000,
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"orderbook": {"asks": [], "bids": []},
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"foreigner_net": -50000,
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}
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prompt = client.build_prompt(market_data)
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assert "005930" in prompt
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def test_prompt_contains_price(self, settings):
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client = GeminiClient(settings)
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market_data = {
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"stock_code": "005930",
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"current_price": 72000,
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"orderbook": {"asks": [], "bids": []},
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"foreigner_net": -50000,
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}
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prompt = client.build_prompt(market_data)
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assert "72000" in prompt
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def test_prompt_enforces_json_output_format(self, settings):
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client = GeminiClient(settings)
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market_data = {
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"stock_code": "005930",
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"current_price": 72000,
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"orderbook": {"asks": [], "bids": []},
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"foreigner_net": 0,
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}
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prompt = client.build_prompt(market_data)
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assert "JSON" in prompt
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assert "action" in prompt
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assert "confidence" in prompt
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