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test_evaluation_function.py
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168 lines (140 loc) · 6.3 KB
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import argparse
import asyncio
import json
import os
import random
import sys
from config import logger, DEFAULT_REQUEST_DELAY, DEFAULT_MAX_CONCURRENCY, DEFAULT_SQL_LIMIT, REPORT_FILENAME
from db import get_db_connection, fetch_data
from evaluator import test_endpoint
from firestore_client import get_firestore_client, save_test_results_to_firestore
def start_test(event, context):
"""Main function entry point. Writes results to report_data.json."""
try:
from dotenv import load_dotenv
load_dotenv()
except ImportError:
pass
conn = None
logger.setLevel(os.environ.get('LOG_LEVEL', 'INFO').upper())
logger.debug("Starting lambda_handler execution.")
try:
db, project_id = get_firestore_client()
if 'body' in event and isinstance(event['body'], str):
payload = json.loads(event['body'])
else:
payload = event
endpoint_to_test = payload.get('endpoint')
sql_limit = int(payload.get('sql_limit', DEFAULT_SQL_LIMIT))
eval_function_name = payload.get('eval_function_name')
grade_params_json = payload.get('grade_params_json')
request_delay = float(payload.get('request_delay', DEFAULT_REQUEST_DELAY))
max_concurrency = int(payload.get('max_concurrency', DEFAULT_MAX_CONCURRENCY))
seed = payload.get('seed')
if seed is None:
seed = random.uniform(-1.0, 1.0)
else:
seed = float(seed)
logger.info(f"Using random seed: {seed}")
if not endpoint_to_test or not eval_function_name:
missing_fields = []
if not endpoint_to_test: missing_fields.append("'endpoint'")
if not eval_function_name: missing_fields.append("'eval_function_name'")
error_msg = f"Missing required input fields: {', '.join(missing_fields)}"
with open(REPORT_FILENAME, 'w') as f:
json.dump({"status": "failed", "error": error_msg}, f)
logger.error(error_msg)
sys.exit(1)
test_params = {
'endpoint': endpoint_to_test,
'eval_function_name': eval_function_name,
'sql_limit': sql_limit,
'grade_params_json': grade_params_json,
'request_delay': request_delay,
'max_concurrency': max_concurrency,
'seed': seed,
}
conn = get_db_connection()
data_for_test = fetch_data(conn, sql_limit, eval_function_name, grade_params_json, seed)
conn.close()
conn = None
results = asyncio.run(test_endpoint(endpoint_to_test, data_for_test, request_delay, max_concurrency))
results_summary = {
"status": "success",
"pass_count": results['pass_count'],
"total_count": results['total_count'],
"tested_count": results['tested_count'],
"number_of_errors": results['number_of_errors'],
"number_of_network_errors": results['number_of_network_errors'],
"number_of_warnings": len(results['list_of_warnings']),
"seed": seed,
}
firestore_doc_id, console_link = save_test_results_to_firestore(
db,
project_id,
results_summary,
test_params,
results['list_of_errors'],
results['list_of_network_errors'],
results['list_of_warnings'],
)
if not firestore_doc_id:
msg = "Failed to save results to Firestore"
logger.error(msg)
with open(REPORT_FILENAME, 'w') as f:
json.dump({"status": "failed", "error": msg}, f)
sys.exit(1)
results_summary['firestore_doc_id'] = firestore_doc_id
results_summary['firestore_link'] = console_link
logger.info(f"Results successfully saved to Firestore: {firestore_doc_id}")
logger.info(f"View results at: {console_link}")
with open(REPORT_FILENAME, 'w') as f:
json.dump(results_summary, f, indent=2)
print(json.dumps(results_summary))
print(f"\n🔗 View results in Firestore: {console_link}")
return results_summary
except Exception as e:
error_msg = str(e)
logger.error(f"Fatal error: {error_msg}", exc_info=True)
with open(REPORT_FILENAME, 'w') as f:
json.dump({"status": "failed", "error": error_msg}, f)
sys.exit(1)
finally:
if conn:
conn.close()
if __name__ == "__main__":
from dotenv import load_dotenv
load_dotenv()
parser = argparse.ArgumentParser(description="Run endpoint validation tests.")
parser.add_argument("--endpoint", required=True, help="API endpoint to test")
parser.add_argument("--eval_function_name", required=True, help="Evaluation function name")
parser.add_argument("--sql_limit", type=int, default=100, help="Max number of records to fetch")
parser.add_argument("--grade_params_json", default="", help="Grade parameters as JSON string")
parser.add_argument("--request_delay", type=float, default=DEFAULT_REQUEST_DELAY,
help="Delay in seconds between dispatching each request (default: 0.0)")
parser.add_argument("--max_concurrency", type=int, default=DEFAULT_MAX_CONCURRENCY,
help="Max concurrent in-flight requests (default: 5)")
parser.add_argument("--seed", type=float, default=None,
help="Random seed for reproducible sampling (float in [-1.0, 1.0]). Auto-generated if omitted.")
args = parser.parse_args()
test_event = {
"endpoint": args.endpoint,
"eval_function_name": args.eval_function_name,
"sql_limit": args.sql_limit,
"grade_params_json": args.grade_params_json,
"request_delay": args.request_delay,
"max_concurrency": args.max_concurrency,
"seed": args.seed,
}
print("-" * 50)
print("Starting test execution...")
print(f"Endpoint: {test_event['endpoint']}")
print(f"Function: {test_event['eval_function_name']}")
print(f"SQL Limit: {test_event['sql_limit']}")
print("-" * 50)
results = start_test(test_event, None)
print("-" * 50)
print("Test execution finished.")
print(f"Results saved to Firestore with ID: {results.get('firestore_doc_id')}")
print(f"🔗 View in console: {results.get('firestore_link')}")
print("-" * 50)