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- """Helper functions for the benchmarking integration."""
- import json
- from datetime import datetime
- import psycopg2
- def insert_benchmarking_data(
- db_connection_url: str,
- lighthouse_data: dict,
- performance_data: list[dict],
- commit_sha: str,
- pr_title: str,
- ):
- """Insert the benchmarking data into the database.
- Args:
- db_connection_url: The URL to connect to the database.
- lighthouse_data: The Lighthouse data to insert.
- performance_data: The performance data to insert.
- commit_sha: The commit SHA to insert.
- pr_title: The PR title to insert.
- """
- # Serialize the JSON data
- lighthouse_json = json.dumps(lighthouse_data)
- performance_json = json.dumps(performance_data)
- # Get the current timestamp
- current_timestamp = datetime.now()
- # Connect to the database and insert the data
- with psycopg2.connect(db_connection_url) as conn, conn.cursor() as cursor:
- insert_query = """
- INSERT INTO benchmarks (lighthouse, performance, commit_sha, pr_title, time)
- VALUES (%s, %s, %s, %s, %s);
- """
- cursor.execute(
- insert_query,
- (
- lighthouse_json,
- performance_json,
- commit_sha,
- pr_title,
- current_timestamp,
- ),
- )
- # Commit the transaction
- conn.commit()
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