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import pandas as pd
from openai import OpenAI
import os
import dotenv
import time
from tqdm import tqdm
dotenv.load_dotenv()
client = OpenAI(
api_key=os.environ.get("OPENAI_API_KEY")
)
def create_prompt(row):
impacts = []
if row['Infrastructural Impact'] > 0:
impacts.append('infrastructure')
if row['Political Impact'] > 0:
impacts.append('political')
if row['Economic Impact'] > 0:
impacts.append('economic')
if row['Ecological Impact'] > 0:
impacts.append('ecological')
if row['Agricultural Impact'] > 0:
impacts.append('agricultural')
if row['Human Health Impact'] > 0:
impacts.append('human health')
impact_str = ', '.join(impacts) if impacts else 'general'
prompt = f"""Given the following passage about {row['Weather']}, generate a specific question that:
1. Can be answered using ONLY the information in this passage
2. Focuses on the {impact_str} impacts mentioned
3. Is detailed and specific to this exact situation
4. Requires understanding the passage's unique context
5. Cannot be answered by other similar passages about {row['Weather']}
Passage:
{row['Text']}
Generate a single, focused question that meets these criteria."""
return prompt
def generate_query(prompt, max_retries=3):
"""Generate a query using GPT-4 with retry logic."""
for attempt in range(max_retries):
try:
response = client.chat.completions.create(
model="gpt-4o",
messages=[
{"role": "system", "content": "You are a helpful assistant that generates specific, focused questions about weather-related passages. Your questions should be answerable using only the information in the given passage."},
{"role": "user", "content": prompt}
],
temperature=0.7,
max_tokens=400
)
return response.choices[0].message.content.strip()
except Exception as e:
if attempt == max_retries - 1:
print(f"Error after {max_retries} attempts: {e}")
return "Error generating query"
time.sleep(5)
df = pd.read_csv('datasets/context_data/reranking_passage.csv')
df['Generated_Query'] = ''
for idx in tqdm(df.index):
if df.loc[idx, 'Remove'] == 0:
prompt = create_prompt(df.loc[idx])
query = generate_query(prompt)
df.loc[idx, 'Generated_Query'] = query
time.sleep(1)
output_file = 'reranking_passage_with_queries.csv'
df.to_csv(output_file, index=False)
print(f"Results saved to {output_file}")
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