mirror of
https://github.com/Xe138/AI-Trader.git
synced 2026-04-03 17:47:24 -04:00
Bill
7d9d093d6c
This commit implements Task 1 from the schema migration plan: - Trade tools (buy/sell) now write to actions table instead of old positions table - Added trading_day_id parameter to buy/sell functions - Updated ContextInjector to inject trading_day_id - Updated RuntimeConfigManager to include TRADING_DAY_ID in config - Removed P&L calculation from trade functions (now done at trading_days level) - Added tests verifying correct behavior with new schema Changes: - agent_tools/tool_trade.py: Modified _buy_impl and _sell_impl to write to actions table - agent/context_injector.py: Added trading_day_id parameter and injection logic - api/model_day_executor.py: Updated to read trading_day_id from runtime config - api/runtime_manager.py: Added trading_day_id to config initialization - tests/unit/test_trade_tools_new_schema.py: New tests for new schema compliance All tests passing.
74 lines
2.9 KiB
Python
74 lines
2.9 KiB
Python
"""
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Tool interceptor for injecting runtime context into MCP tool calls.
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This interceptor automatically injects `signature` and `today_date` parameters
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into buy/sell tool calls to support concurrent multi-model simulations.
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"""
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from typing import Any, Callable, Awaitable
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class ContextInjector:
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"""
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Intercepts tool calls to inject runtime context (signature, today_date).
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Usage:
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interceptor = ContextInjector(signature="gpt-5", today_date="2025-10-01")
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client = MultiServerMCPClient(config, tool_interceptors=[interceptor])
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"""
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def __init__(self, signature: str, today_date: str, job_id: str = None,
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session_id: int = None, trading_day_id: int = None):
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"""
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Initialize context injector.
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Args:
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signature: Model signature to inject
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today_date: Trading date to inject
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job_id: Job UUID to inject (optional)
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session_id: Trading session ID to inject (optional, DEPRECATED)
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trading_day_id: Trading day ID to inject (optional)
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"""
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self.signature = signature
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self.today_date = today_date
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self.job_id = job_id
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self.session_id = session_id # Deprecated but kept for compatibility
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self.trading_day_id = trading_day_id
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async def __call__(
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self,
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request: Any, # MCPToolCallRequest
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handler: Callable[[Any], Awaitable[Any]]
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) -> Any: # MCPToolCallResult
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"""
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Intercept tool call and inject context parameters.
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Args:
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request: Tool call request containing name and arguments
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handler: Async callable to execute the actual tool
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Returns:
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Result from handler after injecting context
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"""
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# Inject context parameters for trade tools
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if request.name in ["buy", "sell"]:
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# Debug: Log self attributes BEFORE injection
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print(f"[ContextInjector.__call__] ENTRY: id={id(self)}, self.signature={self.signature}, self.today_date={self.today_date}, self.job_id={self.job_id}, self.session_id={self.session_id}, self.trading_day_id={self.trading_day_id}")
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print(f"[ContextInjector.__call__] Args BEFORE injection: {request.args}")
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# ALWAYS inject/override context parameters (don't trust AI-provided values)
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request.args["signature"] = self.signature
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request.args["today_date"] = self.today_date
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if self.job_id:
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request.args["job_id"] = self.job_id
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if self.session_id:
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request.args["session_id"] = self.session_id
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if self.trading_day_id:
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request.args["trading_day_id"] = self.trading_day_id
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# Debug logging
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print(f"[ContextInjector] Tool: {request.name}, Args after injection: {request.args}")
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# Call the actual tool handler
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return await handler(request)
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