#!/usr/bin/env python3
"""
Query submissions by user/problem or by submission ID.

Usage:
    python query_submissions.py                     # Show all submission IDs for gau.nernst on gemv
    python query_submissions.py --id 187476         # Show code for specific submission ID
    python query_submissions.py --user gau.nernst --problem nvfp4_gemm
"""

import argparse
import pandas as pd
from pathlib import Path

df = pd.read_parquet(Path(__file__).parent.parent.parent / 'nvidia_nvfp4_submissions.parquet')

parser = argparse.ArgumentParser()
parser.add_argument('--id', type=int, help='Submission ID to query')
parser.add_argument('--user', default='gau.nernst', help='Username to filter')
parser.add_argument('--problem', default='nvfp4_gemv', help='Problem name to filter')
args = parser.parse_args()

if args.id:
    # Query specific submission
    sub = df[df['submission_id'] == args.id]
    if sub.empty:
        print(f"Submission {args.id} not found")
    else:
        row = sub.iloc[0]
        score_us = row['score'] * 1_000_000 if pd.notna(row['score']) else 'N/A'
        print(f"ID: {row['submission_id']}")
        print(f"User: {row['user_name']}")
        print(f"Problem: {row['problem_name']}")
        print(f"Score: {score_us:.2f} µs" if isinstance(score_us, float) else f"Score: {score_us}")
        print(f"\n=== CODE ===\n")
        print(row['code'])
else:
    # List all submission IDs for user/problem
    subs = df[(df['user_name'] == args.user) & (df['problem_name'] == args.problem)]
    subs = subs.sort_values('score')

    ids = subs['submission_id'].tolist()
    scores = [(row['submission_id'], row['score'] * 1_000_000 if pd.notna(row['score']) else None)
              for _, row in subs.iterrows()]

    print(f"User: {args.user} | Problem: {args.problem} | Count: {len(ids)}")
    print(f"\nSubmission IDs (sorted by score, fastest first):")
    print(ids)

    # Get fastest/slowest with valid scores
    valid_scores = [(sid, sc) for sid, sc in scores if sc is not None]
    if valid_scores:
        print(f"\nFastest: {valid_scores[0][0]} ({valid_scores[0][1]:.2f} µs)")
        print(f"Slowest: {valid_scores[-1][0]} ({valid_scores[-1][1]:.2f} µs)")
        print(f"\nQuery a specific submission: python query_submissions.py --id {valid_scores[0][0]}")
    else:
        print("\nNo submissions with scores found")