gemeni endpoints

backend/src/gemini/__init__.py

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+from src.rag.embeddings import get_embedding
+from src.chroma.vector_store import search_documents
+from .client import generate_content
+
+GREENWASHING_ANALYSIS_PROMPT = """
+You are an expert Environmental, Social, and Governance (ESG) Analyst specialized in detecting 'Greenwashing'.
+Your task is to analyze the provided context from a company's data reports and determine if they are engaging in greenwashing.
+
+Greenwashing is defined as making misleading or unsubstantiated claims about the environmental benefits of a product, service, or company practice.
+
+Please evaluate the following:
+1. Vague Claims: Are they using broad terms like 'eco-friendly' without specific details?
+2. Lack of Proof: Are claims backed by data, third-party certifications, or specific metrics?
+3. Hidden Trade-offs: Do they highlight one green act while ignoring a much larger environmental harm?
+4. Symbolic Actions: Are they focusing on minor changes while their core business remains highly polluting?
+
+Based on the context provided, give a final verdict:
+- VERDICT: [Clear/Suspect/High Risk of Greenwashing]
+- REASONING: [Explain your findings clearly]
+- EVIDENCE: [Quote specific parts of the context if possible]
+- BETTER ALTERNATIVES: [Suggest 2-3 similar companies or products that have verified sustainability records or higher transparency in this specific area]
+"""
+
+def analyze_greenwashing(query, category=None, num_results=10):
+    try:
+        query_embedding = get_embedding(query)
+        
+        filter_metadata = None
+        if category:
+            filter_metadata = {"category": category}
+            
+        search_results = search_documents(
+            query_embedding, 
+            num_results=num_results, 
+            filter_metadata=filter_metadata
+        )
+        
+        context = ""
+        if search_results:
+            context = "--- START OF REPORT CONTEXT ---\n"
+            for res in search_results:
+                context += f"RELEVANT DATA CHUNK: {res['text']}\n\n"
+            context += "--- END OF REPORT CONTEXT ---\n"
+        
+        if context:
+            full_prompt = f"{GREENWASHING_ANALYSIS_PROMPT}\n\n{context}\n\nUSER QUERY/COMPANY FOCUS: {query}"
+        else:
+            return "No data found in the report to analyze. Please upload a report first."
+            
+        response = generate_content(full_prompt)
+        return response
+        
+    except Exception as e:
+        return f"Error in Analysis process: {str(e)}"
+
+def ask_gemini_with_rag(query, category=None, num_results=5):
+    return analyze_greenwashing(query, category, num_results)