iris_backend / backend /final_verify.py
Saandraahh's picture
Implemented clustering
4b3a33f
import asyncio
import os
import json
from supabase import create_client
from dotenv import load_dotenv
from api import perform_candidate_analysis
load_dotenv()
SUPABASE_URL = os.environ.get("SUPABASE_URL")
SUPABASE_KEY = os.environ.get("SUPABASE_SERVICE_ROLE_KEY") or os.environ.get("SUPABASE_KEY")
client = create_client(SUPABASE_URL, SUPABASE_KEY)
async def verify():
res = client.table("applications").select("user_id, job_id").limit(1).execute()
if not res.data:
print("No apps found")
return
c_id = res.data[0]["user_id"]
j_id = res.data[0]["job_id"]
print(f"Triggering fresh analysis for {c_id} / {j_id}")
await perform_candidate_analysis(c_id, j_id, force_refresh=True)
print("\nChecking resulting record in DB:")
final_res = client.table("applications") \
.select("match_score, skills_match, technical_skills_match, work_experience_match, education_match, certifications_match, project_match") \
.eq("user_id", c_id).eq("job_id", j_id) \
.execute()
if final_res.data:
print(json.dumps(final_res.data[0], indent=2))
else:
print("Record not found after update")
if __name__ == "__main__":
asyncio.run(verify())