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from pydantic import BaseModel, Field |
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from typing import Type |
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from langchain_core.tools import BaseTool |
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from db.connection import db |
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class GetEventPerformanceOutput(BaseModel): |
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"""Output for the get_event_performance tool""" |
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event_name: str = Field(description="Name of the event") |
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country: str = Field(description="Country where the event took place") |
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location: str = Field(description="Specific location of the event") |
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session_type: str = Field( |
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description="Type of session (Practice, Qualifying, Race)") |
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driver_count: int = Field( |
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description="Number of drivers that participated") |
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avg_lap_time: float = Field(description="Average lap time in seconds") |
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best_lap_time: float = Field(description="Best lap time in seconds") |
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max_finish_line_speed: float = Field( |
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description="Maximum speed at finish line in km/h") |
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avg_air_temp: float | None = Field( |
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description="Average air temperature in celsius") |
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avg_track_temp: float | None = Field( |
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description="Average track temperature in celsius") |
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rain_percentage: float = Field( |
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description="Percentage of time it rained during the session") |
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class GetEventPerformance(BaseTool): |
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name: str = "get_event_performance" |
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description: str = "useful for when you need to get performance statistics for Formula 1 events" |
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def _run(self) -> list[GetEventPerformanceOutput]: |
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"""Use the tool.""" |
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sql_file = open("tools/sql/event_performance.query.sql", "r") |
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sql_query = sql_file.read() |
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sql_file.close() |
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response = db.run(sql_query) |
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if not isinstance(response, str): |
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response = str(response) |
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rows = response.strip('[]').split('), (') |
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results = [] |
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for row in rows: |
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clean_row = row.strip('()').split(',') |
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event_data = GetEventPerformanceOutput( |
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event_name=clean_row[0].strip("'"), |
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country=clean_row[1].strip("'"), |
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location=clean_row[2].strip("'"), |
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session_type=clean_row[3].strip("'"), |
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driver_count=int(float(clean_row[4])), |
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avg_lap_time=float( |
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clean_row[5]) if clean_row[5].strip() != 'None' else 0.0, |
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best_lap_time=float( |
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clean_row[6]) if clean_row[6].strip() != 'None' else 0.0, |
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max_finish_line_speed=float( |
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clean_row[7]) if clean_row[7].strip() != 'None' else 0.0, |
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avg_air_temp=float( |
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clean_row[8]) if clean_row[8].strip() != 'None' else None, |
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avg_track_temp=float( |
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clean_row[9]) if clean_row[9].strip() != 'None' else None, |
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rain_percentage=float( |
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clean_row[10]) if clean_row[10].strip() != 'None' else 0.0 |
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) |
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results.append(event_data) |
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return results |
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