File size: 1,975 Bytes
778d47d | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 | import json
import sqlite3
import multiprocessing.pool
import functools
from tqdm import tqdm
import pandas as pd
from validator import ValidatorJOIN, _execute_sql, _make_str_response, is_execution_correct
import argparse
import os
parser = argparse.ArgumentParser()
parser.add_argument('--input_file', type=str, default='../temp/codes/eval_codes-1b.json')
parser.add_argument('--output_file', type=str, default='bird_validator_join.jsonl')
parser.add_argument('--endpoint_type', type=str, default='llamacpp', choices=['vllm', 'llamacpp', 'openai'])
args = parser.parse_args()
data = json.load(open(args.input_file))
if os.path.exists(args.output_file):
old_output = json.load(open(args.output_file))
data[:len(old_output)] = old_output
else:
old_output = []
# open jsonl file for append contents
output_file = open(args.output_file, 'a+')
validator = ValidatorJOIN(endpoint_type=args.endpoint_type)
for isample in tqdm(range(0, len(data)), total=len(data)):
sample = data[isample]
true_execution_result = _execute_sql("../" + sample['db_path'], sample['sql'])
sql = sample['predict_sql']
answer, execution_result = validator.validate(sample)
is_correct = is_execution_correct(true_execution_result[0], execution_result[0])
print("-"*20)
print("Is correct: ", is_correct)
print(answer)
sample['is_correct'] = is_correct
sample['feedback_conclude'] = answer is not None and 'Conclude: correct' in answer
sample['validator_join'] = answer
sample['true_result'] = _make_str_response(*true_execution_result)
sample['pred_result'] = _make_str_response(*execution_result)
del sample['table_labels']
del sample['column_labels']
del sample['schema']
del sample['matched_contents']
# json.dump(data[:isample+1], open(args.output_file, 'w+'), ensure_ascii=False, indent=4)
# write new sample in jsonl file
output_file.write(json.dumps(sample, ensure_ascii=False) + '\n')
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