[31388f42] Add SerpAPI debugging to UI and relax dotenv loading
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@@ -2,9 +2,29 @@ import streamlit as st
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import pandas as pd
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from db import get_leads, init_db
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import json
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import re
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import os
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from enrich import run_sync, refresh_ce_data
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from generate_reply import generate_email_draft
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def clean_html_to_text(html_content):
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"""Simple helper to convert HTML email body to readable plain text."""
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if not html_content:
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return ""
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# Remove head and style tags entirely
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clean = re.sub(r'<head.*?>.*?</head>', '', html_content, flags=re.DOTALL | re.IGNORECASE)
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clean = re.sub(r'<style.*?>.*?</style>', '', clean, flags=re.DOTALL | re.IGNORECASE)
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# Replace <br> and </p> with newlines
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clean = re.sub(r'<br\s*/?>', '\n', clean, flags=re.IGNORECASE)
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clean = re.sub(r'</p>', '\n', clean, flags=re.IGNORECASE)
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# Remove all other tags
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clean = re.sub(r'<.*?>', '', clean)
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# Decode some common entities
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clean = clean.replace(' ', ' ').replace('&', '&').replace('"', '"')
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# Cleanup multiple newlines
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clean = re.sub(r'\n\s*\n+', '\n\n', clean).strip()
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return clean
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st.set_page_config(page_title="TradingTwins Lead Engine", layout="wide")
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st.title("🚀 Lead Engine: TradingTwins")
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@@ -51,6 +71,42 @@ if st.sidebar.button("3. Sync to Company Explorer"):
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except Exception as e:
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st.error(f"Sync Failed: {e}")
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if st.sidebar.checkbox("Show System Debug"):
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st.sidebar.subheader("System Diagnostics")
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# 1. API Key Check
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from lookup_role import get_gemini_key
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key = get_gemini_key()
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if key:
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st.sidebar.success(f"Gemini Key found ({key[:5]}...)")
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else:
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st.sidebar.error("Gemini Key NOT found!")
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# 2. SerpAPI Check
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serp_key = os.getenv("SERP_API")
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if serp_key:
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st.sidebar.success(f"SerpAPI Key found ({serp_key[:5]}...)")
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else:
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st.sidebar.error("SerpAPI Key NOT found in Env!")
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# 3. Network Check
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try:
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import requests
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res = requests.get("https://generativelanguage.googleapis.com", timeout=2)
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st.sidebar.success(f"Gemini API Reachable ({res.status_code})")
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except Exception as e:
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st.sidebar.error(f"Network Error: {e}")
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# 4. Live Lookup Test
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if st.sidebar.button("Test Role Lookup (Georg Stahl)"):
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from lookup_role import lookup_person_role
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with st.sidebar.status("Running Lookup..."):
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res = lookup_person_role("Georg Stahl", "Klemm Bohrtechnik GmbH")
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if res:
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st.sidebar.success(f"Result: {res}")
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else:
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st.sidebar.error("Result: None")
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# Main View
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leads = get_leads()
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df = pd.DataFrame(leads)
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@@ -64,7 +120,16 @@ if not df.empty:
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st.subheader("Lead Pipeline")
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for index, row in df.iterrows():
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with st.expander(f"{row['company_name']} ({row['status']})"):
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# Format date for title
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date_str = ""
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if row.get('received_at'):
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try:
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dt = pd.to_datetime(row['received_at'])
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date_str = dt.strftime("%d.%m. %H:%M")
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except:
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pass
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with st.expander(f"{date_str} | {row['company_name']} ({row['status']})"):
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c1, c2 = st.columns(2)
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# --- Left Column: Lead Data ---
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@@ -79,14 +144,30 @@ if not df.empty:
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except:
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pass
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role = meta.get('role')
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if role:
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c1.info(f"**Role:** {role}")
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else:
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if c1.button("🔍 Find Role (SerpAPI)", key=f"role_{row['id']}"):
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from enrich import enrich_contact_role
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with st.spinner("Searching LinkedIn via Google..."):
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found_role = enrich_contact_role(row)
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if found_role:
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st.success(f"Found: {found_role}")
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st.rerun()
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else:
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st.error("No role found.")
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if meta:
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c1.write("---")
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c1.write(f"**Area:** {meta.get('area', '-')}")
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c1.write(f"**Purpose:** {meta.get('purpose', '-')}")
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c1.write(f"**Location:** {meta.get('zip', '')} {meta.get('city', '')}")
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with c1.expander("Show Original Email Body"):
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st.code(row['raw_body'], language="html")
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with c1.expander("Show Original Email Content"):
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st.text(clean_html_to_text(row['raw_body']))
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if st.checkbox("Show Raw HTML", key=f"raw_{row['id']}"):
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st.code(row['raw_body'], language="html")
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# --- Right Column: Enrichment & Response ---
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enrichment = json.loads(row['enrichment_data']) if row['enrichment_data'] else {}
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@@ -3,23 +3,15 @@ import requests
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import re
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from dotenv import load_dotenv
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# Load env from root
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# Try loading .env only if file exists (Local Dev), otherwise rely on Docker Env
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env_path = os.path.abspath(os.path.join(os.path.dirname(__file__), '..', '.env'))
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load_dotenv(dotenv_path=env_path, override=True)
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if os.path.exists(env_path):
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load_dotenv(dotenv_path=env_path, override=True)
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SERP_API_KEY = os.getenv("SERP_API")
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if not SERP_API_KEY:
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print(f"DEBUG: Failed to load SERP_API from {env_path}")
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# Fallback: try reading directly if file exists
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try:
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with open(env_path, 'r') as f:
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for line in f:
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if line.startswith('SERP_API='):
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SERP_API_KEY = line.split('=')[1].strip().strip('"')
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print("DEBUG: Loaded key via manual parsing.")
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except:
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pass
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print(f"DEBUG: SERP_API not found in environment.")
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import json
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@@ -75,8 +67,10 @@ def extract_role_with_llm(name, company, search_results):
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# Cleanup: remove punctuation at the end
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role = role.rstrip('.')
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return None if "Unbekannt" in role else role
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except:
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pass
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else:
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print(f"DEBUG: Gemini API Error {response.status_code}: {response.text}")
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except Exception as e:
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print(f"DEBUG: Gemini API Exception: {e}")
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return None
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def lookup_person_role(name, company):
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