#!/usr/bin/env python3
"""Sales Prospector v14 - 50 metros + suburbs"""
import json, re, time, random, urllib.request, urllib.parse
from datetime import datetime
from pathlib import Path
import ssl
ssl._create_default_https_context = ssl._create_unverified_context

for d in [Path(__file__).parent / x for x in ["state", "logs", "leads"]]:
    d.mkdir(parents=True, exist_ok=True)

STATE_FILE = Path(__file__).parent / "state" / "prospector-v14-state.json"
LOG_FILE = Path(__file__).parent / "logs" / f"prospector-v14-{datetime.now().strftime('%Y%m%d')}.log"

# TOP 50 METROS + surrounding cities
METROS = [
    # Top 20 major metros
    ("New York NY", ["Manhattan", "Brooklyn", "Queens", "Bronx", "Staten Island", "Jersey City", "Newark"]),
    ("Los Angeles CA", ["Santa Monica", "Pasadena", "Burbank", "Glendale", "Long Beach", "Anaheim"]),
    ("Chicago IL", ["Evanston", "Oak Park", "Naperville", "Schaumburg", "Skokie"]),
    ("Houston TX", ["Sugar Land", "The Woodlands", "Katy", "Pearland", "Baytown"]),
    ("Phoenix AZ", ["Scottsdale", "Tempe", "Mesa", "Chandler", "Glendale"]),
    ("Philadelphia PA", ["Camden", "Chester", "Upper Darby"]),
    ("San Antonio TX", ["New Braunfels", "Schertz", "Cibolo"]),
    ("San Diego CA", ["Chula Vista", "Oceanside", "Escondido", "Carlsbad"]),
    ("Dallas TX", ["Fort Worth", "Arlington", "Plano", "Irving", "Frisco", "McKinney"]),
    ("San Jose CA", ["Sunnyvale", "Santa Clara", "Mountain View", "Palo Alto"]),
    ("Austin TX", ["Round Rock", "Cedar Park", "Georgetown", "Pflugerville"]),
    ("Jacksonville FL", ["Orange Park", "St. Augustine", "Ponte Vedra"]),
    ("Columbus OH", ["Dublin", "Westerville", "Gahanna", "Reynoldsburg"]),
    ("Charlotte NC", ["Matthews", "Mint Hill", "Huntersville", "Concord", "Gastonia"]),
    ("Indianapolis IN", ["Carmel", "Fishers", "Noblesville", "Greenwood"]),
    ("San Francisco CA", ["Oakland", "Berkeley", "Richmond", "Walnut Creek"]),
    ("Seattle WA", ["Bellevue", "Redmond", "Tacoma", "Kirkland", "Renton"]),
    ("Denver CO", ["Aurora", "Lakewood", "Thornton", "Westminster", "Boulder"]),
    ("Oklahoma City OK", ["Edmond", "Norman", "Moore", "Midwest City"]),
    ("Boston MA", ["Cambridge", "Somerville", "Brookline", "Newton"]),
    # Next 30 metros 
    ("Portland OR", ["Beaverton", "Gresham", "Hillsboro", "Lake Oswego"]),
    ("Las Vegas NV", ["Henderson", "North Las Vegas", "Summerlin"]),
    ("Nashville TN", ["Franklin", "Brentwood", "Hendersonville", "Murfreesboro"]),
    ("Detroit MI", ["Warren", "Sterling Heights", "Dearborn", "Livonia"]),
    ("Oklahoma City OK", ["Edmond", "Norman", "Moore"]),
    ("Memphis TN", ["Germantown", "Collierville", "Bartlett"]),
    ("Louisville KY", ["Jeffersonville", "New Albany", "Elizabethtown"]),
    ("Milwaukee WI", ["Waukesha", "West Allis", "Wauwatosa"]),
    ("Baltimore MD", ["Columbia", "Ellicott City", "Towson"]),
    ("Albuquerque NM", ["Rio Rancho", "Santa Fe", "Los Lunas"]),
    ("Tucson AZ", ["Marana", "Oro Valley", "Sahuarita"]),
    ("Mesa AZ", ["Gilbert", "Chandler", "Tempe"]),
    ("Fresno CA", ["Clovis", "Madera", "Sanger"]),
    ("Atlanta GA", ["Sandy Springs", "Roswell", "Johns Creek", "Alpharetta", "Marietta"]),
    ("Sacramento CA", ["Elk Grove", "Roseville", "Folsom", "Davis"]),
    ("Kansas City MO", ["Overland Park", "Olathe", "Independence", "Leawood"]),
    ("Colorado Springs CO", ["Fountain", "Monument", "Woodland Park"]),
    ("Raleigh NC", ["Cary", "Apex", "Holly Springs", "Wake Forest"]),
    ("Omaha NE", ["Bellevue", "Papillion", "La Vista"]),
    ("Miami FL", ["Miami Beach", "Coral Gables", "Hialeah", "Fort Lauderdale"]),
    ("Long Beach CA", ["Lakewood", "Signal Hill"]),
    ("Virginia Beach VA", ["Norfolk", "Chesapeake", "Newport News", "Hampton"]),
    ("Oakland CA", ["Berkeley", "Alameda", "San Leandro"]),
    ("Minneapolis MN", ["St. Paul", "Bloomington", "Plymouth", "Edina"]),
    ("Tulsa OK", ["Broken Arrow", "Bixby", "Jenks"]),
    ("Tampa FL", ["St. Petersburg", "Clearwater", "Brandon", "Lutz"]),
    ("Arlington TX", ["Grand Prairie", "Euless", "Bedford"]),
    ("Wichita KS", ["Overland Park", "Lenexa", "Shawnee"]),
    ("Bakersfield CA", ["Delano", "Oildale", "Rosedale"]),
    ("Aurora CO", ["Centennial", "Parker", "Englewood"]),
    ("Anaheim CA", ["Fullerton", "Orange", "Garden Grove", "Brea"]),
    ("Santa Ana CA", ["Irvine", "Costa Mesa", "Tustin", "Newport Beach"]),
    ("Corpus Christi TX", ["Portland", "Kingsville", "Alice"]),
    ("Riverside CA", ["Moreno Valley", "Corona", "Jurupa Valley", "Norco"]),
    ("Lexington KY", ["Georgetown", "Richmond", "Winchester"]),
    ("Stockton CA", ["Lodi", "Tracy", "Manteca"])
]

SEARXNG = "https://search.sensetostyle.com"
TWENTY_TOKEN = "eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJzdWIiOiI5M2FmNGFmNS0zZWQ0LTQ1ZDMtOWE5Zi01MDMzZjc3YTY3MjMiLCJ0eXBlIjoiQVBJX0tFWSIsIndvcmtzcGFjZUlkIjoiOTNhZjRhZjUtM2VkNC00NWQzLTlhOWYtNTAzM2Y3N2E2NzIzIiwiaWF0IjoxNzczMzI4NDQzLCJleHAiOjE4MDQ3ODE2NDIsImp0aSI6IjIwZjEyYzkwLTRkMDctNGJmNi1iMzk3LTZjNmU3MzlmMThjOCJ9.zeM5NvwCSGEcz99m2LYtgb0sVD6WUXcCF7SwonFg930"
TWENTY_BASE = "https://salesforce.hoaledgeriq.com/rest"

LAST_REQ = 0

def log(m):
    ts = datetime.now().strftime('%H:%M:%S')
    print(f"[{ts}] {m}")
    with open(LOG_FILE, 'a') as f: f.write(f"[{ts}] {m}\n")

def throttle():
    global LAST_REQ
    dly = random.uniform(3, 6)
    if LAST_REQ > 0 and (time.time() - LAST_REQ) < dly:
        time.sleep(dly - (time.time() - LAST_REQ))
    LAST_REQ = time.time()

def load():
    if STATE_FILE.exists():
        s = json.loads(STATE_FILE.read_text())
        s['crm'] = set(s.get('crm', []))
        return s
    return {"m": 0, "crm": set(), "leads": 0, "cycle": 0}

def save(s):
    tmp = s.copy()
    tmp['crm'] = list(s['crm'])
    STATE_FILE.write_text(json.dumps(tmp, indent=2))

def search(q):
    throttle()
    try:
        url = f"{SEARXNG}/search?q={urllib.parse.quote(q)}"
        with urllib.request.urlopen(urllib.request.Request(url, headers={"User-Agent": "Mozilla/5.0"}), timeout=15) as r:
            html = r.read().decode('utf-8', errors='ignore')
            urls = [m for m in re.findall(r'href="(https?://[^"]+)"', html) 
                    if 'sensetostyle' not in m and 'archive.org' not in m]
            return list(dict.fromkeys(urls))[:12]
    except: return []

def get_dom(url):
    try:
        d = urllib.parse.urlparse(url).netloc.lower()
        return d[4:] if d.startswith('www.') else d
    except: return None

def is_hoa(d):
    if not d: return False
    dl = d.lower()
    good = ['hoa', 'homeowners', 'association', 'community', 'condo', 'village', 
            'mgmt', 'management', 'properties', 'realty']
    bad = ['sensetostyle', 'archive.org', 'google', 'facebook', 'yelp', 'bbb', 
           'wiki', 'reddit', 'linkedin', 'trulia', 'realtor', 'zillow']
    return any(k in dl for k in good) and not any(b in dl for b in bad)

def fetch(url):
    throttle()
    try:
        with urllib.request.urlopen(urllib.request.Request(url, headers={"User-Agent": "Mozilla/5.0"}), timeout=10) as r:
            t = re.sub(r'<script.*?script>', '', r.read().decode('utf-8', errors='ignore'), flags=re.DOTALL|re.I)
            t = re.sub(r'<style.*?style>', '', t, flags=re.DOTALL|re.I)
            return re.sub(r'\s+', ' ', resub(r'<[^>]+>', ' ', t))[:2000]
    except: return ""

def get_emails(t):
    if not t: return []
    ems = re.findall(r'\b[A-Za-z0-9._%+-]+@[A-Za-z0-9.-]+\.[A-Za-z]{2,}\b', t)
    return list(set([e.lower() for e in ems if len(e) > 8 and '@' in e]))[:3] or []

def crm_push(lead):
    try:
        note = {"title": f"{lead['q']}: {lead['d']}", 
                "bodyV2": {"markdown": f"## {lead['q']} Lead\n\n**HOA:** {lead['n']}\n**Metro:** {lead['m']}\n**City:** {lead['c']}\n**Site:** {lead['u']}\n**Emails:** {', '.join(lead['e']) or 'None'}"}}
        urllib.request.urlopen(urllib.request.Request(f"{TWENTY_BASE}/notes",
            headers={"Authorization": f"Bearer {TWENTY_TOKEN}", "Content-Type": "application/json"},
            data=json.dumps(note).encode(), method='POST'), timeout=10)
        log(f"CRM: {lead['d']}")
        return True
    except: return False

def main():
    log("=== v14 STARTED - 50 Metros + Suburbs ===")
    s = load()
    
    queries = ["{loc} HOA", "{loc} homeowners association", "{loc} HOA management"]
    
    while True:
        s['cycle'] += 1
        metro_pack = METROS[s['m'] % len(METROS)]
        metro_name = metro_pack[0]
        suburbs = metro_pack[1]
        
        # Search metro + each suburb
        search_locations = [metro_name] + [f"{sub} {metro_name.split()[-1]}" for sub in suburbs[:3]]
        
        log(f"CYCLE {s['cycle']}: {metro_name} (+{len(suburbs)} suburbs) | Leads: {s['leads']}")
        
        new = 0
        for city in search_locations[:4]:  # metro + 3 suburbs
            if s['leads'] >= 750: break
            for qt in queries:
                if s['leads'] >= 750: break
                urls = search(qt.format(loc=city))
                if urls: log(f"  | {city}: {len(urls)} URLs")
                
                for url in urls[:4]:
                    if s['leads'] >= 750: break
                    dom = get_dom(url)
                    if not dom or dom in s['crm'] or not is_hoa(dom): continue
                    
                    txt = fetch(url)
                    lead = {'n': dom.split('.')[0].replace('-', ' ').title()[:30],
                            'm': metro_name, 'c': city, 'u': url, 'd': dom, 
                            'e': get_emails(txt),
                            'q': "HOT" if len(get_emails(txt)) >= 2 else "WARM" if get_emails(txt) else "COLD"}
                    
                    if crm_push(lead):
                        s['crm'].add(dom)
                        s['leads'] += 1
                        new += 1
                        log(f"LEAD {s['leads']}: {lead['n']}")
        
        s['m'] = (s['m'] + 1) % len(METROS)
        save(s)
        log(f"Done: {new} new | {s['leads']} total")
        
        if s['leads'] >= 750: log("TARGET 750!"); break
        if new == 0: time.sleep(20)

if __name__ == "__main__":
    main()