249 lines
9.9 KiB
Python
249 lines
9.9 KiB
Python
import streamlit as st
|
|
import pandas as pd
|
|
from db import get_leads, init_db, reset_lead
|
|
import json
|
|
import re
|
|
import os
|
|
from enrich import run_sync, refresh_ce_data, sync_single_lead
|
|
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'<head.*?>.*?</head>', '', html_content, flags=re.DOTALL | re.IGNORECASE)
|
|
clean = re.sub(r'<style.*?>.*?</style>', '', clean, flags=re.DOTALL | re.IGNORECASE)
|
|
# Replace <br> and </p> with newlines
|
|
clean = re.sub(r'<br\s*/?>', '\n', clean, flags=re.IGNORECASE)
|
|
clean = re.sub(r'</p>', '\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']})"):
|
|
# Quality Warning
|
|
meta = {}
|
|
if row.get('lead_metadata'):
|
|
try: meta = json.loads(row['lead_metadata'])
|
|
except: pass
|
|
|
|
if meta.get('is_low_quality'):
|
|
st.warning("⚠️ Low Quality Lead detected (Free-mail or missing company). Use for reclamation if applicable.")
|
|
|
|
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', '')}")
|
|
|
|
# Manual Sync Button for individual lead
|
|
if row['status'] == 'new':
|
|
if c1.button("🚀 Sync to Company Explorer", key=f"sync_single_{row['id']}"):
|
|
with st.spinner("Processing lead (Role + CE Sync)..."):
|
|
res = sync_single_lead(row['id'])
|
|
if res.get('status') != 'error':
|
|
st.success("Lead synced successfully!")
|
|
st.rerun()
|
|
else:
|
|
st.error(f"Sync failed: {res.get('message')}")
|
|
else:
|
|
if c1.button("🔄 Reset Status to New", key=f"reset_{row['id']}"):
|
|
reset_lead(row['id'])
|
|
st.toast("Lead status reset.")
|
|
st.rerun()
|
|
|
|
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', {})
|
|
# Support both names (CE uses industry_ai internally)
|
|
vertical = ce_data.get('industry_ai') or ce_data.get('vertical')
|
|
summary = ce_data.get('research_dossier') or ce_data.get('summary')
|
|
|
|
if vertical and vertical != 'None':
|
|
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.")
|