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v0.3.0-alp
...
v0.3.0-alp
| Author | SHA1 | Date | |
|---|---|---|---|
| 8521f685c7 | |||
| bf12e981fe | |||
| a16bac5d08 | |||
| 81b92e293a |
@@ -5,7 +5,7 @@ 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, Dict
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from typing import Any, Callable, Awaitable
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class ContextInjector:
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@@ -28,23 +28,31 @@ class ContextInjector:
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self.signature = signature
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self.today_date = today_date
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def __call__(self, tool_name: str, tool_input: Dict[str, Any]) -> Dict[str, Any]:
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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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tool_name: Name of the tool being called
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tool_input: Original tool input parameters
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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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Modified tool input with injected context
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Result from handler after injecting context
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"""
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# Only inject for trade tools (buy/sell)
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if tool_name in ["buy", "sell"]:
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# Inject signature and today_date if not already provided
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if "signature" not in tool_input:
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tool_input["signature"] = self.signature
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if "today_date" not in tool_input:
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tool_input["today_date"] = self.today_date
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# Inject signature and today_date for trade tools
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if request.name in ["buy", "sell"]:
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# Add signature and today_date to args if not present
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if "signature" not in request.args:
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request.args["signature"] = self.signature
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if "today_date" not in request.args:
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request.args["today_date"] = self.today_date
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return tool_input
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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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@@ -44,8 +44,10 @@ def buy(symbol: str, amount: int, signature: str = None, today_date: str = None)
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"""
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# Step 1: Get environment variables and basic information
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# Get signature (model name) from parameter or fallback to config/env
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print(f"[buy] Received signature parameter: {signature}")
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if signature is None:
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signature = get_config_value("SIGNATURE")
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print(f"[buy] Signature from config: {signature}")
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if signature is None:
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raise ValueError("SIGNATURE not provided and environment variable is not set")
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@@ -59,9 +61,7 @@ def buy(symbol: str, amount: int, signature: str = None, today_date: str = None)
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try:
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current_position, current_action_id = get_latest_position(today_date, signature)
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except Exception as e:
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print(e)
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print(current_position, current_action_id)
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print(today_date, signature)
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return {"error": f"Failed to get position: {str(e)}", "signature": signature, "date": today_date}
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# Step 3: Get stock opening price for the day
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# Use get_open_prices function to get the opening price of specified stock for the day
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# If stock symbol does not exist or price data is missing, KeyError exception will be raised
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@@ -151,7 +151,10 @@ def sell(symbol: str, amount: int, signature: str = None, today_date: str = None
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# Step 2: Get current latest position and operation ID
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# get_latest_position returns two values: position dictionary and current maximum operation ID
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# This ID is used to ensure each operation has a unique identifier
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current_position, current_action_id = get_latest_position(today_date, signature)
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try:
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current_position, current_action_id = get_latest_position(today_date, signature)
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except Exception as e:
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return {"error": f"Failed to get position: {str(e)}", "signature": signature, "date": today_date}
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# Step 3: Get stock opening price for the day
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# Use get_open_prices function to get the opening price of specified stock for the day
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