mirror of
https://github.com/Xe138/AI-Trader.git
synced 2026-04-03 09:47:23 -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
"""
|
|
Tool interceptor for injecting runtime context into MCP tool calls.
|
|
|
|
This interceptor automatically injects `signature` and `today_date` parameters
|
|
into buy/sell tool calls to support concurrent multi-model simulations.
|
|
"""
|
|
|
|
from typing import Any, Callable, Awaitable
|
|
|
|
|
|
class ContextInjector:
|
|
"""
|
|
Intercepts tool calls to inject runtime context (signature, today_date).
|
|
|
|
Usage:
|
|
interceptor = ContextInjector(signature="gpt-5", today_date="2025-10-01")
|
|
client = MultiServerMCPClient(config, tool_interceptors=[interceptor])
|
|
"""
|
|
|
|
def __init__(self, signature: str, today_date: str, job_id: str = None,
|
|
session_id: int = None, trading_day_id: int = None):
|
|
"""
|
|
Initialize context injector.
|
|
|
|
Args:
|
|
signature: Model signature to inject
|
|
today_date: Trading date to inject
|
|
job_id: Job UUID to inject (optional)
|
|
session_id: Trading session ID to inject (optional, DEPRECATED)
|
|
trading_day_id: Trading day ID to inject (optional)
|
|
"""
|
|
self.signature = signature
|
|
self.today_date = today_date
|
|
self.job_id = job_id
|
|
self.session_id = session_id # Deprecated but kept for compatibility
|
|
self.trading_day_id = trading_day_id
|
|
|
|
async def __call__(
|
|
self,
|
|
request: Any, # MCPToolCallRequest
|
|
handler: Callable[[Any], Awaitable[Any]]
|
|
) -> Any: # MCPToolCallResult
|
|
"""
|
|
Intercept tool call and inject context parameters.
|
|
|
|
Args:
|
|
request: Tool call request containing name and arguments
|
|
handler: Async callable to execute the actual tool
|
|
|
|
Returns:
|
|
Result from handler after injecting context
|
|
"""
|
|
# Inject context parameters for trade tools
|
|
if request.name in ["buy", "sell"]:
|
|
# Debug: Log self attributes BEFORE injection
|
|
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}")
|
|
print(f"[ContextInjector.__call__] Args BEFORE injection: {request.args}")
|
|
|
|
# ALWAYS inject/override context parameters (don't trust AI-provided values)
|
|
request.args["signature"] = self.signature
|
|
request.args["today_date"] = self.today_date
|
|
if self.job_id:
|
|
request.args["job_id"] = self.job_id
|
|
if self.session_id:
|
|
request.args["session_id"] = self.session_id
|
|
if self.trading_day_id:
|
|
request.args["trading_day_id"] = self.trading_day_id
|
|
|
|
# Debug logging
|
|
print(f"[ContextInjector] Tool: {request.name}, Args after injection: {request.args}")
|
|
|
|
# Call the actual tool handler
|
|
return await handler(request)
|