greenintellect / app /services /perplexity_client.py
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Deploy GreenIntellect Backend API with ML models and scraping
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import os
import requests
import json
from dotenv import load_dotenv
load_dotenv()
PERPLEXITY_API_KEY = os.getenv("PERPLEXITY_API_KEY")
def research_company(company_name: str) -> dict:
"""
Uses Perplexity AI to conduct deep web research on a company's environmental impact.
Returns: { "description": str, "findings": list, "sentiment": str, "citations": list }
"""
if not PERPLEXITY_API_KEY:
print("Warning: PERPLEXITY_API_KEY not found.")
return None
url = "https://api.perplexity.ai/chat/completions"
# Prompt designed to extract structured data compatible with our existing analysis
system_prompt = "You are an environmental analyst. Research the target company and return a JSON object with: 'description' (factual summaries), 'findings' (list of 5 key controversies or achievements), 'sentiment' (Positive/Negative/Mixed), 'citations' (list of source URLs), and 'recommendations' (object with keys 'for_customers', 'for_investors', 'for_company_leadership', each a list of 3 strings)."
user_prompt = f"Research the environmental track record of '{company_name}'. Focus on emissions, greenwashing, and sustainability 2023-2025."
payload = {
"model": "sonar",
"messages": [
{"role": "system", "content": system_prompt},
{"role": "user", "content": user_prompt}
],
"temperature": 0.2
}
headers = {
"Authorization": f"Bearer {PERPLEXITY_API_KEY}",
"Content-Type": "application/json"
}
try:
response = requests.post(url, json=payload, headers=headers)
response.raise_for_status()
result = response.json()
content = result['choices'][0]['message']['content']
citations = result.get('citations', [])
# Clean JSON markdown if present
if content.startswith("```json"): content = content[7:]
if content.endswith("```"): content = content[:-3]
data = json.loads(content)
data['citations'] = citations # Ensure citations are attached
return data
except Exception as e:
print(f"Perplexity API Error: {e}")
return None