feat: Documentation and Tool Config Update

scripts/generate_sniper_copy.py

@@ -1,123 +0,0 @@
-import sqlite3
-import os
-import json
-import requests
-import argparse
-from dotenv import load_dotenv
-
-# --- Configuration & Setup ---
-load_dotenv(dotenv_path="/home/node/clawd/.env", override=True)
-DB_PATH = "/home/node/clawd/repos/brancheneinstufung2/company_explorer_local.db"
-GEMINI_API_KEY = os.getenv("GEMINI_API_KEY")
-
-
-class SniperGenerator:
-    def __init__(self, db_path=DB_PATH):
-        self.db_path = db_path
-        # TODO: Initialize Notion client to get Vertical/Persona data
-        # TODO: Load Marketing Report KPIs into memory
-
-    def get_lead_data(self, company_id):
-        """Gathers all necessary data for a lead from the local DB."""
-        conn = sqlite3.connect(self.db_path)
-        conn.row_factory = sqlite3.Row
-        cursor = conn.cursor()
-        
-        cursor.execute("SELECT * FROM companies WHERE id = ?", (company_id,))
-        company_data = cursor.fetchone()
-        conn.close()
-        
-        if not company_data:
-            return None
-        
-        return dict(company_data)
-
-    def select_product_and_persona(self, company_data, target_role):
-        """
-        Implements the '3+1' rule to decide which product to pitch.
-        Placeholder logic - will be replaced with Notion data.
-        """
-        print(f"🎯 Selecting product for role '{target_role}' in industry '{company_data.get('industry_ai')}'...")
-        # Placeholder for the 3+1 logic
-        # if target_role in ["Wirtschaftl. Entscheider", "Infrastruktur-Verantw."]:
-        #     return "Primary"
-        # if target_role == "Innovations-Treiber":
-        #     return "Secondary"
-        # if target_role == "Operativer Entscheider":
-        #     # Here we would check the "Ops Focus: Secondary?" checkbox from Notion
-        #     return "Primary" # Default
-        
-        # For now, we default to the primary product (Cleaning)
-        print("-> Defaulting to 'Primary Product' (Cleaning).")
-        return "Cleaning"
-
-
-    def generate_copy(self, company_id, target_role="Wirtschaftl. Entscheider"):
-        """
-        Generates the 3-sentence sniper copy for a given company and role.
-        """
-        # 1. Gather Data
-        lead_data = self.get_lead_data(company_id)
-        if not lead_data:
-            return "Error: Company data not found."
-            
-        # 2. Decide on Product (using 3+1 rule)
-        product_to_pitch = self.select_product_and_persona(lead_data, target_role)
-        
-        # 3. Get Social Proof KPIs (from Marketing Report)
-        # Placeholder - using hardcoded values from the report
-        kpis = {
-            "cost_reduction": "10-25%",
-            "time_saving": "20-40%"
-        }
-
-        # 4. Construct Master Prompt
-        # This is a simplified version for now
-        prompt = f"""
-        Du bist ein Weltklasse B2B-Stratege. Deine Aufgabe ist es, eine 3-Satz-E-Mail-Einleitung im '1,5°-Stil' zu erstellen.
-
-        **Regeln:**
-        - Satz 1 (Firma): Zeige, dass du das Geschäftsmodell und die zentrale Herausforderung verstanden hast. KEINE ZAHLEN, nur qualitative Größe.
-        - Satz 2 (Persona): Sprich den spezifischen Schmerz der Zielrolle an und verbinde ihn mit dem Produkt '{product_to_pitch}'.
-        - Satz 3 (Social Proof): Untermauere die Lösung mit einem konkreten KPI von Marktbegleitern.
-
-        **Daten:**
-        - Firma: {lead_data.get('name')}
-        - Branche (KI): {lead_data.get('industry_ai')}
-        - Standort: {lead_data.get('city')}
-        - Rolle: {target_role}
-        - KPI 1 (Kosten): {kpis['cost_reduction']}
-        - KPI 2 (Zeit): {kpis['time_saving']}
-
-        **Output:** Nur die 3 Sätze. Sonst nichts.
-        """
-        
-        # 5. Call Gemini API
-        print("📞 Calling Gemini to generate copy...")
-        headers = {"Content-Type": "application/json"}
-        payload = {"contents": [{"parts": [{"text": prompt}]}]}
-        url = f"https://generativelanguage.googleapis.com/v1beta/models/gemini-2.5-flash:generateContent?key={GEMINI_API_KEY}"
-        
-        try:
-            resp = requests.post(url, headers=headers, json=payload, timeout=20)
-            resp.raise_for_status()
-            result = resp.json()
-            copy_text = result['candidates'][0]['content']['parts'][0]['text'].strip()
-            return copy_text
-        except Exception as e:
-            return f"Error during Gemini call: {e}"
-
-
-if __name__ == "__main__":
-    parser = argparse.ArgumentParser(description="Generate sniper copy for a lead.")
-    parser.add_argument("company_id", type=int, help="The Company Explorer ID of the lead.")
-    parser.add_argument("--role", type=str, default="Wirtschaftl. Entscheider", help="The target persona/role.")
-    args = parser.parse_args()
-
-    sniper = SniperGenerator()
-    final_copy = sniper.generate_copy(args.company_id, args.role)
-    
-    print("\n--- GENERATED SNIPER COPY ---")
-    print(final_copy)
-    print("-----------------------------\n")
-