import streamlit as st import pandas as pd from db import get_leads, init_db import json import re import os from enrich import run_sync, refresh_ce_data from generate_reply import generate_email_draft def clean_html_to_text(html_content): """Simple helper to convert HTML email body to readable plain text.""" if not html_content: return "" # Remove head and style tags entirely clean = re.sub(r'.*?', '', html_content, flags=re.DOTALL | re.IGNORECASE) clean = re.sub(r'.*?', '', clean, flags=re.DOTALL | re.IGNORECASE) # Replace
and

with newlines clean = re.sub(r'', '\n', clean, flags=re.IGNORECASE) clean = re.sub(r'

', '\n', clean, flags=re.IGNORECASE) # Remove all other tags clean = re.sub(r'<.*?>', '', clean) # Decode some common entities clean = clean.replace(' ', ' ').replace('&', '&').replace('"', '"') # Cleanup multiple newlines clean = re.sub(r'\n\s*\n+', '\n\n', clean).strip() return clean st.set_page_config(page_title="TradingTwins Lead Engine", layout="wide") st.title("🚀 Lead Engine: TradingTwins") # Sidebar Actions st.sidebar.header("Actions") if st.sidebar.button("1. Ingest Emails (Mock)"): from ingest import ingest_mock_leads init_db() count = ingest_mock_leads() st.sidebar.success(f"Ingested {count} new leads.") st.rerun() if st.sidebar.button("2. Ingest Real Emails (Graph API)"): try: from trading_twins_ingest import process_leads with st.spinner("Fetching emails from Microsoft Graph..."): count = process_leads() if count > 0: st.sidebar.success(f"Successfully ingested {count} new leads form inbox!") else: st.sidebar.info("No new leads found in inbox.") st.rerun() except Exception as e: st.sidebar.error(f"Ingest failed: {e}") if st.sidebar.button("3. Sync to Company Explorer"): with st.spinner("Syncing with Company Explorer API..."): # Capture output for debugging try: # We redirect stdout to capture prints import io from contextlib import redirect_stdout f = io.StringIO() with redirect_stdout(f): run_sync() output = f.getvalue() st.success("Sync finished!") with st.expander("See Process Log", expanded=True): st.code(output) except Exception as e: st.error(f"Sync Failed: {e}") if st.sidebar.checkbox("Show System Debug"): st.sidebar.subheader("System Diagnostics") # 1. API Key Check from lookup_role import get_gemini_key key = get_gemini_key() if key: st.sidebar.success(f"Gemini Key found ({key[:5]}...)") else: st.sidebar.error("Gemini Key NOT found!") # 2. SerpAPI Check serp_key = os.getenv("SERP_API") if serp_key: st.sidebar.success(f"SerpAPI Key found ({serp_key[:5]}...)") else: st.sidebar.error("SerpAPI Key NOT found in Env!") # 3. Network Check try: import requests res = requests.get("https://generativelanguage.googleapis.com", timeout=2) st.sidebar.success(f"Gemini API Reachable ({res.status_code})") except Exception as e: st.sidebar.error(f"Network Error: {e}") # 4. Live Lookup Test if st.sidebar.button("Test Role Lookup (Georg Stahl)"): from lookup_role import lookup_person_role with st.sidebar.status("Running Lookup..."): res = lookup_person_role("Georg Stahl", "Klemm Bohrtechnik GmbH") if res: st.sidebar.success(f"Result: {res}") else: st.sidebar.error("Result: None") # Main View leads = get_leads() df = pd.DataFrame(leads) if not df.empty: col1, col2, col3 = st.columns(3) col1.metric("Total Leads", len(df)) col2.metric("New / Unsynced", len(df[df['status'] == 'new'])) col3.metric("Synced to CE", len(df[df['status'] == 'synced'])) st.subheader("Lead Pipeline") for index, row in df.iterrows(): # Format date for title date_str = "" if row.get('received_at'): try: dt = pd.to_datetime(row['received_at']) date_str = dt.strftime("%d.%m. %H:%M") except: pass with st.expander(f"{date_str} | {row['company_name']} ({row['status']})"): c1, c2 = st.columns(2) # --- Left Column: Lead Data --- c1.write(f"**Contact:** {row['contact_name']}") c1.write(f"**Email:** {row['email']}") # Metadata Display meta = {} if row.get('lead_metadata'): try: meta = json.loads(row['lead_metadata']) except: pass role = meta.get('role') if role: c1.info(f"**Role:** {role}") else: if c1.button("🔍 Find Role (SerpAPI)", key=f"role_{row['id']}"): from enrich import enrich_contact_role with st.spinner("Searching LinkedIn via Google..."): found_role = enrich_contact_role(row) if found_role: st.success(f"Found: {found_role}") st.rerun() else: st.error("No role found.") if meta: c1.write("---") c1.write(f"**Area:** {meta.get('area', '-')}") c1.write(f"**Purpose:** {meta.get('purpose', '-')}") c1.write(f"**Location:** {meta.get('zip', '')} {meta.get('city', '')}") with c1.expander("Show Original Email Content"): st.text(clean_html_to_text(row['raw_body'])) if st.checkbox("Show Raw HTML", key=f"raw_{row['id']}"): st.code(row['raw_body'], language="html") # --- Right Column: Enrichment & Response --- enrichment = json.loads(row['enrichment_data']) if row['enrichment_data'] else {} if enrichment: c2.write("--- Integration Status ---") ce_id = enrichment.get('ce_id') if ce_id: c2.success(f"✅ Linked to Company Explorer (ID: {ce_id})") # CE Data Display ce_data = enrichment.get('ce_data', {}) vertical = ce_data.get('vertical') summary = ce_data.get('summary') if vertical: c2.info(f"**Industry:** {vertical}") else: c2.warning("Industry Analysis pending...") if summary: with c2.expander("Show Analysis Summary"): st.write(summary) # Refresh Button if c2.button("🔄 Refresh Analysis Data", key=f"refresh_{row['id']}"): with st.spinner("Fetching latest data from Company Explorer..."): new_data = refresh_ce_data(row['id'], ce_id) st.toast("Data refreshed!") st.rerun() # Generate Reply Button (only if we have data) c2.write("--- Response Generation ---") if c2.button("✨ Generate Expert Reply", key=f"gen_{row['id']}"): with st.spinner("Generating draft with Gemini..."): # Prepare lead data dict from row lead_dict = row.to_dict() draft = generate_email_draft(lead_dict, ce_data) # Store draft in session state to persist st.session_state[f"draft_{row['id']}"] = draft # Display Draft if f"draft_{row['id']}" in st.session_state: c2.text_area("Draft Email", value=st.session_state[f"draft_{row['id']}"], height=300) else: c2.warning("⚠️ Not yet synced or failed") c2.info(f"Log: {enrichment.get('message')}") else: st.info("No leads found. Click 'Ingest Emails' in the sidebar.")