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Migrate from pyautogen to ag2 Library #39

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Migrate from pyautogen to ag2 library

AG2AI-Admin Jul 18, 2025

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544 changes: 544 additions & 0 deletions 02장/chapter_2_transformer_with_code.ipynb

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947 changes: 947 additions & 0 deletions 03장/chapter_3.ipynb

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577 changes: 577 additions & 0 deletions 05장/chapter_5.ipynb

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397 changes: 397 additions & 0 deletions 06장/api_request_parallel_processor.py

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485 changes: 485 additions & 0 deletions 06장/chapter_6.ipynb

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65 changes: 65 additions & 0 deletions 06장/utils.py

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Original file line number	Diff line number	Diff line change
		@@ -0,0 +1,65 @@
	import json
	import pandas as pd


	def change_jsonl_to_csv(input_file, output_file, prompt_column="prompt", response_column="response"):
	prompts = []
	responses = []
	with open(input_file, 'r') as json_file:
	for data in json_file:
	prompts.append(json.loads(data)[0]['messages'][0]['content'])
	responses.append(json.loads(data)[1]['choices'][0]['message']['content'])

	df = pd.DataFrame({prompt_column: prompts, response_column: responses})
	df.to_csv(output_file, index=False)
	return df


	def merge_gt_and_gen_result(df_gt, df_gen):
	results = []
	for idx, row in df_gen.iterrows():
	with_sql_gt = df_gt.loc[df_gt['without_sql'] == row['without_sql']]
	gt_sql = with_sql_gt['sql'].values[0]
	gen_sql = row['gen_sql']
	results.append((with_sql_gt['ddl'].values[0], with_sql_gt['request'].values[0], gt_sql, gen_sql))
	df_result = pd.DataFrame(results, columns=["ddl", "request", "gt_sql", "gen_sql"])
	return df_result

	def make_evaluation_requests(df, filename, model="gpt-4-1106-preview"):
	prompts = []
	for idx, row in df.iterrows():
	prompts.append(f"""Based on provided ddl, request, gen_sql, ground_truth_sql if gen_sql eqauls to ground_truth_sql, output "yes" else "no"
	DDL:
	{row['ddl']}
	Request:
	{row['request']}
	ground_truth_sql:
	{row['gt_sql']}
	gen_sql:
	{row['gen_sql']}

	Answer:""")

	jobs = [{"model": model, "messages": [{"role": "system", "content": prompt}]} for prompt in prompts]
	with open(filename, "w") as f:
	for job in jobs:
	json_string = json.dumps(job)
	f.write(json_string + "\n")

	def make_prompt(ddl, request, sql=""):
	prompt = f"""당신은 SQL을 생성하는 SQL 봇입니다. DDL과 요청사항을 바탕으로 적절한 SQL 쿼리를 생성하세요.

	DDL:
	{ddl}

	요청사항:
	{request}

	SQL:
	{sql}"""
	return prompt


	if __name__ == '__main__':
	df = pd.read_csv('./nl2sql_validation.csv')
	df.sample(100).to_csv('nl2sql_validation_sample.csv', index=False)

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