feat: backend project setup with FastAPI structure and dependencies
- Create directory structure per IMPLEMENTATION_PLAN.md Section 12 - Add requirements.txt with FastAPI, SQLAlchemy, CrewAI, etc. - Add core/config.py for environment variable configuration - Add core/database.py for SQLite connection - Add core/security.py for password hashing and JWT - Add FastAPI app entry point (main.py) with all API routers - Add Uvicorn runner (run.py) - Add API route stubs (auth, bots, backtest, simulate, config) - Add db/models.py with SQLAlchemy models - Add db/schemas.py with Pydantic schemas - Add service stubs (ai_agent, backtest, simulate engines) - Add .env.example with all required environment variables - Verify server starts correctly
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src/backend/app/services/__init__.py
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src/backend/app/services/__init__.py
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src/backend/app/services/ai_agent/__init__.py
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src/backend/app/services/ai_agent/__init__.py
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from .crew import CrewAgent
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from .llm_connector import LLMConnector
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__all__ = ["CrewAgent", "LLMConnector"]
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src/backend/app/services/ai_agent/crew.py
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src/backend/app/services/ai_agent/crew.py
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from typing import List, Optional
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class CrewAgent:
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def __init__(self, role: str, goal: str, backstory: str):
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self.role = role
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self.goal = goal
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self.backstory = backstory
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def execute_task(self, task: str) -> str:
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raise NotImplementedError("CrewAI agent not yet implemented")
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def get_trading_crew():
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raise NotImplementedError("Trading crew not yet implemented")
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src/backend/app/services/ai_agent/llm_connector.py
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src/backend/app/services/ai_agent/llm_connector.py
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from typing import Optional
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class LLMConnector:
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def __init__(self, api_key: str, model: str = "MiniMax-Text-01"):
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self.api_key = api_key
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self.model = model
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def chat(self, messages: list[dict], **kwargs):
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raise NotImplementedError("LLM integration not yet implemented")
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def parse_strategy(self, user_message: str) -> dict:
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raise NotImplementedError("Strategy parsing not yet implemented")
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src/backend/app/services/backtest/__init__.py
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src/backend/app/services/backtest/__init__.py
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from .engine import BacktestEngine
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__all__ = ["BacktestEngine"]
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src/backend/app/services/backtest/engine.py
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src/backend/app/services/backtest/engine.py
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from typing import Optional, Dict, Any
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class BacktestEngine:
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def __init__(self, config: Dict[str, Any]):
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self.config = config
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async def run(self) -> Dict[str, Any]:
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raise NotImplementedError("Backtest engine not yet implemented")
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async def stop(self):
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raise NotImplementedError("Backtest stop not yet implemented")
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def get_results(self) -> Dict[str, Any]:
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raise NotImplementedError("Backtest results not yet implemented")
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src/backend/app/services/simulate/__init__.py
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src/backend/app/services/simulate/__init__.py
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from .engine import SimulateEngine
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__all__ = ["SimulateEngine"]
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src/backend/app/services/simulate/engine.py
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src/backend/app/services/simulate/engine.py
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from typing import Optional, Dict, Any, List
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class SimulateEngine:
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def __init__(self, config: Dict[str, Any]):
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self.config = config
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async def run(self) -> List[Dict[str, Any]]:
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raise NotImplementedError("Simulation engine not yet implemented")
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async def stop(self):
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raise NotImplementedError("Simulation stop not yet implemented")
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def get_signals(self) -> List[Dict[str, Any]]:
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raise NotImplementedError("Simulation signals not yet implemented")
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