build prospect intelligence platform MVP

This commit is contained in:
Marco0300
2026-09-02 17:38:50 +02:00
commit 44be4efc82
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FROM python:3.13-alpine
ENV PYTHONDONTWRITEBYTECODE=1 PYTHONUNBUFFERED=1
RUN addgroup -S app && adduser -S -G app app
WORKDIR /app
COPY app /app/app
COPY schema.sql /app/schema.sql
RUN mkdir -p /data && chown -R app:app /app /data
USER app
EXPOSE 8000
CMD ["python", "/app/app/main.py", "--host", "0.0.0.0", "--port", "8000", "--db", "/data/prospects.db"]
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# Prospect Platform API MVP
Dependency-light JSON API for a single demo tenant (`demo-tenant`). Core domain rules use only Python's standard library; persistence is SQLite. This MVP stores prospect evidence and scores, but never sends outreach.
## Run
From this directory:
```bash
python3 app/main.py
# listens on http://127.0.0.1:8000
python3 -m unittest discover
```
Set `PROSPECT_API_PORT` or pass `--port`; set `PROSPECT_API_DB` or pass `--db` to override the default `prospects.db`.
## Endpoints
- `GET /api/v1/health/live` — liveness.
- `GET /api/v1/dashboard/summary` — tenant-scoped counts and score average.
- `GET /api/v1/businesses` — list businesses; optional `?q=` filter.
- `POST /api/v1/businesses` — create a business from JSON (`name` required; website, email, phone, description optional). Normalization, scoring, deduplication, and suppression are enforced server-side.
- `GET /api/v1/businesses/{id}` — retrieve one tenant-scoped business.
- `POST /api/v1/suppressions` — add `{kind: email|domain|phone, value: ...}`. Future matching business creation is blocked.
- `POST /api/v1/imports/preview` — preview `{rows: [...]}` without writing; reports accepted, duplicates, suppressed, normalized rows.
All SQL uses parameters and all responses are JSON. Scores include `score_version` and `score_factors` for traceability. There is intentionally no send/outreach endpoint.
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"""Pure, dependency-free prospect domain rules."""
from __future__ import annotations
import re
from urllib.parse import urlparse
SCORE_VERSION = "mvp-1"
_SOCIAL = {"facebook.com", "instagram.com", "linkedin.com", "twitter.com", "x.com", "youtube.com", "tiktok.com"}
def normalize_domain(value: str | None) -> str:
value = (value or "").strip().lower()
if not value:
return ""
parsed = urlparse(value if "://" in value else "//" + value)
host = (parsed.hostname or "").strip(".")
if host.startswith("www."):
host = host[4:]
return host
def normalize_phone(value: str | None) -> str:
return re.sub(r"[^0-9+]", "", (value or "").strip())
def normalize_business(raw: dict) -> dict:
name = " ".join(str(raw.get("name", "")).split())
email = str(raw.get("email", "")).strip().lower()
website = str(raw.get("website", "")).strip()
domain = normalize_domain(raw.get("website_domain") or website)
phone = normalize_phone(raw.get("phone"))
result = dict(raw)
result.update({"name": name, "email": email, "website": website, "website_domain": domain, "phone": phone})
return result
def classify_website(website_or_domain: str | None) -> str:
domain = normalize_domain(website_or_domain)
if not domain:
return "missing"
if any(domain == item or domain.endswith("." + item) for item in _SOCIAL):
return "social_profile"
return "business_site"
def score_business(business: dict) -> dict:
b = normalize_business(business)
score = 0
factors = []
if b.get("name"):
score += 20; factors.append("named_business")
site_class = classify_website(b.get("website_domain") or b.get("website"))
if site_class == "business_site":
score += 30; factors.append("business_site")
if b.get("email"):
score += 25; factors.append("email")
if b.get("phone"):
score += 15; factors.append("phone")
if b.get("description"):
score += 10; factors.append("description")
return {"score": min(score, 100), "score_version": SCORE_VERSION, "factors": factors, "website_class": site_class}
def suppression_values(business: dict) -> set[str]:
b = normalize_business(business)
return {x for x in (b.get("email"), b.get("website_domain"), b.get("phone")) if x}
def is_suppressed(business: dict, suppressions: list[dict]) -> bool:
values = suppression_values(business)
for item in suppressions:
kind, value = item.get("kind", ""), str(item.get("value", "")).strip().lower()
if kind == "domain": value = normalize_domain(value)
elif kind == "phone": value = normalize_phone(value)
if value and value in values:
return True
return False
def deduplication_key(business: dict) -> tuple[str, str]:
b = normalize_business(business)
if b["website_domain"]: return ("domain", b["website_domain"])
if b["email"]: return ("email", b["email"])
if b["phone"]: return ("phone", b["phone"])
return ("name", re.sub(r"[^a-z0-9]", "", b["name"].lower()))
def deduplicate_businesses(rows: list[dict]) -> list[dict]:
chosen: dict[tuple[str, str], dict] = {}
for raw in rows:
item = normalize_business(raw)
key = deduplication_key(item)
if key not in chosen or sum(bool(v) for v in item.values()) > sum(bool(v) for v in chosen[key].values()):
chosen[key] = item
return list(chosen.values())
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from __future__ import annotations
import argparse
import json
import os
import sqlite3
import sys
from http.server import BaseHTTPRequestHandler, ThreadingHTTPServer
from pathlib import Path
from urllib.parse import parse_qs, urlparse
if __package__ in (None, ""):
sys.path.insert(0, str(Path(__file__).resolve().parents[1]))
from app.domain import deduplication_key, deduplicate_businesses, is_suppressed, normalize_business, score_business
else:
from .domain import deduplication_key, deduplicate_businesses, is_suppressed, normalize_business, score_business
ORGANIZATION_ID = "demo-tenant"
SCHEMA = Path(__file__).resolve().parents[1] / "schema.sql"
def connect(db_path: str) -> sqlite3.Connection:
db = sqlite3.connect(db_path)
db.row_factory = sqlite3.Row
db.execute("PRAGMA foreign_keys = ON")
db.executescript(SCHEMA.read_text())
return db
def row_json(row: sqlite3.Row) -> dict:
result = dict(row)
result["score_factors"] = json.loads(result.pop("score_factors", "[]"))
return result
def existing_businesses(db: sqlite3.Connection) -> list[dict]:
return [row_json(r) for r in db.execute("SELECT * FROM businesses WHERE organization_id = ? ORDER BY id", (ORGANIZATION_ID,))]
def suppression_rows(db: sqlite3.Connection) -> list[dict]:
return [dict(r) for r in db.execute("SELECT kind, value FROM suppressions WHERE organization_id = ?", (ORGANIZATION_ID,))]
class ApiHandler(BaseHTTPRequestHandler):
server_version = "ProspectPlatform/0.1"
def send_json(self, status: int, payload: dict | list):
body = json.dumps(payload, sort_keys=True).encode("utf-8")
self.send_response(status)
self.send_header("Content-Type", "application/json; charset=utf-8")
self.send_header("Access-Control-Allow-Origin", os.environ.get("CORS_ORIGINS", "http://localhost:8080"))
self.send_header("Access-Control-Allow-Methods", "GET, POST, OPTIONS")
self.send_header("Access-Control-Allow-Headers", "Content-Type")
self.send_header("Content-Length", str(len(body)))
self.end_headers()
self.wfile.write(body)
def read_json(self) -> dict:
try:
length = int(self.headers.get("Content-Length", "0"))
value = json.loads(self.rfile.read(length) or b"{}")
return value if isinstance(value, dict) else {}
except (ValueError, json.JSONDecodeError):
return {}
def db(self):
return connect(self.server.db_path)
def do_OPTIONS(self):
self.send_response(204)
self.send_header("Access-Control-Allow-Origin", os.environ.get("CORS_ORIGINS", "http://localhost:8080"))
self.send_header("Access-Control-Allow-Methods", "GET, POST, OPTIONS")
self.send_header("Access-Control-Allow-Headers", "Content-Type")
self.end_headers()
def do_GET(self):
parsed = urlparse(self.path)
path = parsed.path.rstrip("/")
if path == "/api/v1/health/live":
return self.send_json(200, {"status": "ok", "organization_id": ORGANIZATION_ID})
db = self.db()
try:
if path == "/api/v1/dashboard/summary":
row = db.execute("SELECT COUNT(*) AS businesses, COALESCE(AVG(score), 0) AS average_score FROM businesses WHERE organization_id = ?", (ORGANIZATION_ID,)).fetchone()
return self.send_json(200, {"organization_id": ORGANIZATION_ID, "businesses": row["businesses"], "average_score": round(row["average_score"], 2), "suppressed": db.execute("SELECT COUNT(*) FROM suppressions WHERE organization_id = ?", (ORGANIZATION_ID,)).fetchone()[0]})
if path == "/api/v1/businesses":
query = parse_qs(parsed.query).get("q", [""])[0].strip()
if query:
like = f"%{query}%"
rows = db.execute("SELECT * FROM businesses WHERE organization_id = ? AND (name LIKE ? OR website_domain LIKE ? OR email LIKE ?) ORDER BY score DESC, id", (ORGANIZATION_ID, like, like, like)).fetchall()
else:
rows = db.execute("SELECT * FROM businesses WHERE organization_id = ? ORDER BY score DESC, id", (ORGANIZATION_ID,)).fetchall()
return self.send_json(200, {"organization_id": ORGANIZATION_ID, "items": [row_json(r) for r in rows]})
if path.startswith("/api/v1/businesses/"):
ident = path.rsplit("/", 1)[1]
if not ident.isdigit(): return self.send_json(404, {"error": "not_found"})
row = db.execute("SELECT * FROM businesses WHERE id = ? AND organization_id = ?", (int(ident), ORGANIZATION_ID)).fetchone()
return self.send_json(200, row_json(row)) if row else self.send_json(404, {"error": "not_found"})
return self.send_json(404, {"error": "not_found"})
finally:
db.close()
def do_POST(self):
path = urlparse(self.path).path.rstrip("/")
payload = self.read_json()
if path == "/api/v1/businesses": return self.create_business(payload)
if path == "/api/v1/suppressions": return self.create_suppression(payload)
if path == "/api/v1/imports/preview": return self.preview_import(payload)
return self.send_json(404, {"error": "not_found"})
def create_business(self, payload):
if not str(payload.get("name", "")).strip(): return self.send_json(400, {"error": "name_required"})
business = normalize_business(payload)
db = self.db()
try:
if is_suppressed(business, suppression_rows(db)): return self.send_json(409, {"error": "suppressed"})
identity_fields = [("website_domain", business["website_domain"]), ("email", business["email"]), ("phone", business["phone"])]
identity_fields = [(column, value) for column, value in identity_fields if value]
if identity_fields:
predicates = " OR ".join(f"{column} = ?" for column, _ in identity_fields)
values = [value for _, value in identity_fields]
if db.execute(f"SELECT id FROM businesses WHERE organization_id = ? AND ({predicates})", [ORGANIZATION_ID, *values]).fetchone():
return self.send_json(409, {"error": "duplicate"})
scored = score_business(business)
cur = db.execute("INSERT INTO businesses (organization_id,name,website,website_domain,email,phone,description,score,score_version,score_factors,website_class) VALUES (?,?,?,?,?,?,?,?,?,?,?)", (ORGANIZATION_ID, business["name"], business["website"], business["website_domain"], business["email"], business["phone"], str(business.get("description", "")), scored["score"], scored["score_version"], json.dumps(scored["factors"]), scored["website_class"]))
db.commit()
return self.send_json(201, row_json(db.execute("SELECT * FROM businesses WHERE id = ?", (cur.lastrowid,)).fetchone()))
finally: db.close()
def create_suppression(self, payload):
kind, value = payload.get("kind"), str(payload.get("value", "")).strip().lower()
if kind not in {"email", "domain", "phone"} or not value: return self.send_json(400, {"error": "invalid_suppression"})
db = self.db()
try:
try:
db.execute("INSERT INTO suppressions (organization_id,kind,value) VALUES (?,?,?)", (ORGANIZATION_ID, kind, value)); db.commit()
except sqlite3.IntegrityError: pass
row = db.execute("SELECT * FROM suppressions WHERE organization_id = ? AND kind = ? AND value = ?", (ORGANIZATION_ID, kind, value)).fetchone()
return self.send_json(201, dict(row))
finally: db.close()
def preview_import(self, payload):
rows = payload.get("rows", [])
if not isinstance(rows, list): return self.send_json(400, {"error": "rows_required"})
normalized = deduplicate_businesses([r for r in rows if isinstance(r, dict) and str(r.get("name", "")).strip()])
db = self.db()
try:
suppressions = suppression_rows(db); existing = existing_businesses(db); seen = set()
accepted, duplicate, suppressed = [], 0, 0
for b in normalized:
key = deduplication_key(b)
if is_suppressed(b, suppressions): suppressed += 1
elif (key in {deduplication_key(x) for x in existing} or key in seen): duplicate += 1
else: seen.add(key); accepted.append(b)
return self.send_json(200, {"accepted": len(accepted), "duplicates": duplicate + len(rows) - len(normalized), "suppressed": suppressed, "rows": accepted})
finally: db.close()
def log_message(self, *_): pass
def create_server(host="127.0.0.1", port=8000, db_path="prospects.db"):
server = ThreadingHTTPServer((host, port), ApiHandler)
server.db_path = db_path
connect(db_path).close()
return server
if __name__ == "__main__":
parser = argparse.ArgumentParser(description="Prospect Platform API")
parser.add_argument("--host", default="127.0.0.1")
parser.add_argument("--port", type=int, default=int(os.environ.get("PROSPECT_API_PORT", "8000")))
parser.add_argument("--db", default=os.environ.get("PROSPECT_API_DB", "prospects.db"))
args = parser.parse_args()
server = create_server(args.host, args.port, args.db)
print(f"Prospect API listening on http://{args.host}:{args.port}", flush=True)
try: server.serve_forever()
except KeyboardInterrupt: pass
finally: server.server_close()
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PRAGMA foreign_keys = ON;
CREATE TABLE IF NOT EXISTS businesses (
id INTEGER PRIMARY KEY AUTOINCREMENT,
organization_id TEXT NOT NULL,
name TEXT NOT NULL,
website TEXT NOT NULL DEFAULT '',
website_domain TEXT NOT NULL DEFAULT '',
email TEXT NOT NULL DEFAULT '',
phone TEXT NOT NULL DEFAULT '',
description TEXT NOT NULL DEFAULT '',
score INTEGER NOT NULL DEFAULT 0,
score_version TEXT NOT NULL DEFAULT 'mvp-1',
score_factors TEXT NOT NULL DEFAULT '[]',
website_class TEXT NOT NULL DEFAULT 'missing',
created_at TEXT NOT NULL DEFAULT CURRENT_TIMESTAMP
);
CREATE INDEX IF NOT EXISTS idx_businesses_org ON businesses(organization_id);
CREATE UNIQUE INDEX IF NOT EXISTS uq_business_domain ON businesses(organization_id, website_domain) WHERE website_domain <> '';
CREATE UNIQUE INDEX IF NOT EXISTS uq_business_email ON businesses(organization_id, email) WHERE email <> '';
CREATE UNIQUE INDEX IF NOT EXISTS uq_business_phone ON businesses(organization_id, phone) WHERE phone <> '';
CREATE TABLE IF NOT EXISTS suppressions (
id INTEGER PRIMARY KEY AUTOINCREMENT,
organization_id TEXT NOT NULL,
kind TEXT NOT NULL CHECK(kind IN ('email','domain','phone')),
value TEXT NOT NULL,
created_at TEXT NOT NULL DEFAULT CURRENT_TIMESTAMP,
UNIQUE(organization_id, kind, value)
);
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"""Small stdlib-only MVP API/container smoke-test service."""
import json
import os
from http.server import BaseHTTPRequestHandler, ThreadingHTTPServer
class Handler(BaseHTTPRequestHandler):
server_version = "ProspectPlatformMVP/0.1"
def do_GET(self): # noqa: N802
if self.path == "/healthz":
self.respond(200, {"status": "ok", "outreach_enabled": False})
elif self.path == "/":
self.respond(200, {"service": "api", "status": "ok"})
else:
self.respond(404, {"error": "not_found"})
def respond(self, status, payload):
body = json.dumps(payload).encode("utf-8")
self.send_response(status)
self.send_header("Content-Type", "application/json")
self.send_header("Content-Length", str(len(body)))
self.end_headers()
self.wfile.write(body)
def log_message(self, format, *args):
if os.environ.get("LOG_LEVEL", "INFO").upper() != "QUIET":
super().log_message(format, *args)
if __name__ == "__main__":
host = os.environ.get("API_HOST", "0.0.0.0")
port = int(os.environ.get("API_PORT", "8000"))
ThreadingHTTPServer((host, port), Handler).serve_forever()
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import json
import threading
import unittest
from http.client import HTTPConnection
from tempfile import TemporaryDirectory
from app.main import create_server
class ApiSmokeTests(unittest.TestCase):
def setUp(self):
self.tmp = TemporaryDirectory()
self.server = create_server("127.0.0.1", 0, self.tmp.name + "/test.db")
self.thread = threading.Thread(target=self.server.serve_forever, daemon=True)
self.thread.start()
self.conn = HTTPConnection("127.0.0.1", self.server.server_port, timeout=3)
def tearDown(self):
self.server.shutdown()
self.server.server_close()
self.thread.join(timeout=2)
self.tmp.cleanup()
def request(self, method, path, payload=None):
body = json.dumps(payload).encode() if payload is not None else None
self.conn.request(method, path, body, {"Content-Type": "application/json"} if body else {})
response = self.conn.getresponse()
return response.status, json.loads(response.read())
def test_health_create_get_summary_and_import_preview(self):
self.assertEqual(self.request("GET", "/api/v1/health/live")[0], 200)
status, created = self.request("POST", "/api/v1/businesses", {"name": "Acme", "website": "https://acme.co.za", "email": "a@acme.co.za"})
self.assertEqual(status, 201)
self.assertEqual(created["organization_id"], "demo-tenant")
status, fetched = self.request("GET", "/api/v1/businesses/" + str(created["id"]))
self.assertEqual(status, 200)
self.assertEqual(fetched["name"], "Acme")
status, summary = self.request("GET", "/api/v1/dashboard/summary")
self.assertEqual(status, 200)
self.assertEqual(summary["businesses"], 1)
status, preview = self.request("POST", "/api/v1/imports/preview", {"rows": [{"name": "Acme", "website": "https://acme.co.za"}, {"name": "New Co"}]})
self.assertEqual(status, 200)
self.assertEqual(preview["accepted"], 1)
self.assertEqual(preview["duplicates"], 1)
def test_suppression_blocks_new_business(self):
status, _ = self.request("POST", "/api/v1/suppressions", {"kind": "domain", "value": "blocked.co.za"})
self.assertEqual(status, 201)
status, response = self.request("POST", "/api/v1/businesses", {"name": "Blocked", "website": "https://blocked.co.za"})
self.assertEqual(status, 409)
self.assertEqual(response["error"], "suppressed")
if __name__ == "__main__":
unittest.main()
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import unittest
from app.domain import (
classify_website,
deduplicate_businesses,
normalize_business,
normalize_domain,
score_business,
is_suppressed,
)
class DomainTests(unittest.TestCase):
def test_normalization_canonicalizes_contact_and_domain(self):
value = normalize_business({"name": " Acme ", "website": "HTTPS://WWW.Acme.co.za/path", "email": " SALES@ACME.CO.ZA "})
self.assertEqual(value["name"], "Acme")
self.assertEqual(value["website_domain"], "acme.co.za")
self.assertEqual(value["email"], "sales@acme.co.za")
def test_website_classification_is_conservative(self):
self.assertEqual(classify_website("https://acme.co.za"), "business_site")
self.assertEqual(classify_website("https://www.facebook.com/acme"), "social_profile")
self.assertEqual(classify_website(""), "missing")
def test_scoring_is_versioned_and_explains_factors(self):
result = score_business({"name": "Acme", "website_domain": "acme.co.za", "email": "a@acme.co.za", "phone": "123"})
self.assertEqual(result["score_version"], "mvp-1")
self.assertGreaterEqual(result["score"], 70)
self.assertIn("business_site", result["factors"])
def test_suppression_matches_email_domain_or_phone(self):
business = {"email": "person@example.com", "website_domain": "example.com", "phone": "+27123456789"}
self.assertTrue(is_suppressed(business, [{"kind": "domain", "value": "example.com"}]))
self.assertTrue(is_suppressed(business, [{"kind": "email", "value": "person@example.com"}]))
self.assertTrue(is_suppressed(business, [{"kind": "phone", "value": "+27123456789"}]))
self.assertFalse(is_suppressed(business, [{"kind": "email", "value": "other@example.com"}]))
def test_deduplication_prefers_richer_record(self):
rows = [{"name": "Acme", "website": "https://acme.com"}, {"name": " acme ", "website": "https://www.acme.com", "email": "a@acme.com"}]
result = deduplicate_businesses(rows)
self.assertEqual(len(result), 1)
self.assertEqual(result[0]["email"], "a@acme.com")
if __name__ == "__main__":
unittest.main()
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FROM python:3.13-alpine
RUN addgroup -S app && adduser -S -G app app
WORKDIR /srv
COPY index.html /srv/index.html
COPY styles.css /srv/styles.css
COPY app.js /srv/app.js
COPY healthz /srv/healthz
RUN chown -R app:app /srv
USER app
EXPOSE 8080
CMD ["python", "-m", "http.server", "8080", "--bind", "0.0.0.0", "--directory", "/srv"]
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# ProspectOS web MVP
Self-contained static frontend for the Prospect Platform API. There is no bundler or runtime dependency: serve this directory with any static HTTP server.
## Configure and run
The API base is configurable before `app.js` runs:
```html
<script>window.API_BASE = 'http://127.0.0.1:8000';</script>
<script src="app.js"></script>
```
If not set, the UI uses `localStorage.prospect_api_base` when present, then renders clearly-labelled demo data. The API contract used by this page is the current MVP contract:
- `GET /api/v1/businesses` (optional filtering is performed client-side)
- `GET /api/v1/dashboard/summary`
- `POST /api/v1/businesses`
The CSV control is intentionally preview-only. The backend's `POST /api/v1/imports/preview` can be wired to a confirmation flow later; this UI does not claim that import rows have been persisted.
## Browser verification
1. Start the API from `apps/api` with `python3 app/main.py`.
2. Serve this directory: `python3 -m http.server 8080 --directory apps/web`.
3. Open `http://127.0.0.1:8080`, with `window.API_BASE` set to `http://127.0.0.1:8000` using a tiny pre-load edit or browser devtools.
4. Confirm the header changes to **API connected**, metrics populate, search and score/status filters update the table, selecting a row opens evidence/confidence/freshness, and adding a prospect POSTs to `/api/v1/businesses`.
5. Confirm rows with `status: review` show **Outreach unavailable — Review this prospect before outreach is available**, and suppressed rows show **Outreach unavailable — Suppressed records cannot be contacted**. There is no outreach/send endpoint or button.
6. Select a CSV and confirm a local, preview-only table appears without a network request.
7. Resize below 700px to verify the collapsible nav, stacked panels, and horizontally scrollable explorer table.
A zero-dependency static smoke page (`smoke-test.html`) checks the key DOM contract in an iframe and reports pass/fail.
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/* ProspectOS frontend MVP. Configure before loading with window.API_BASE = 'http://127.0.0.1:8000'; */
(() => {
'use strict';
const API_BASE = (window.API_BASE || localStorage.getItem('prospect_api_base') || '').replace(/\/$/, '');
const endpoint = (path) => `${API_BASE}${path}`;
const demoProspects = [
{id:1,name:'Northstar Creative',website:'https://northstarcreative.co.za',website_domain:'northstarcreative.co.za',location:'Cape Town, ZA',score:92,score_factors:['named_business','business_site','email','phone'],email:'hello@northstarcreative.co.za',phone:'+27215550101',updated_at:'2026-08-31T09:00:00Z',status:'reviewed',confidence:'High'},
{id:2,name:'Berg & Bloom',website:'https://bergandbloom.co.za',website_domain:'bergandbloom.co.za',location:'Johannesburg, ZA',score:78,score_factors:['named_business','business_site','description'],description:'Independent retail studio',updated_at:'2026-08-29T09:00:00Z',status:'review',confidence:'Medium'},
{id:3,name:'Mosaic Studio',website:'',website_domain:'',location:'Durban, ZA',score:45,score_factors:['named_business'],updated_at:'2026-08-12T09:00:00Z',status:'review',confidence:'Low'},
{id:4,name:'Cedar Works',website:'https://cedarworks.co.za',website_domain:'cedarworks.co.za',location:'Pretoria, ZA',score:83,score_factors:['named_business','business_site','phone'],phone:'+27125550102',updated_at:'2026-08-30T09:00:00Z',status:'reviewed',confidence:'High'},
{id:5,name:'Studio Lumen',website:'https://instagram.com/studiolumen',website_domain:'instagram.com',location:'Gqeberha, ZA',score:55,score_factors:['named_business'],updated_at:'2026-08-20T09:00:00Z',status:'suppressed',suppressed:true,suppression_reason:'Suppressed by domain match',confidence:'Low'},
{id:6,name:'Field Notes Co.',website:'https://fieldnotes.example',website_domain:'fieldnotes.example',location:'Cape Town, ZA',score:67,score_factors:['named_business','business_site'],updated_at:'2026-08-25T09:00:00Z',status:'review',confidence:'Medium'}
];
let prospects = [];
let selectedId = null;
const $ = (id) => document.getElementById(id);
const esc = (value) => String(value ?? '').replace(/[&<>"']/g, c => ({'&':'&amp;','<':'&lt;','>':'&gt;','"':'&quot;',"'":'&#39;'}[c]));
const scoreClass = (score) => score >= 80 ? 'high' : score >= 60 ? 'medium' : 'low';
const statusOf = (p) => p.suppressed || p.status === 'suppressed' ? 'suppressed' : (p.reviewed || p.status === 'reviewed' || p.reviewed_at ? 'reviewed' : 'review');
const freshness = (p) => {
const raw = p.updated_at || p.last_checked_at || p.created_at;
if (!raw) return {label:'Unknown', cls:'stale'};
const days = Math.max(0, Math.floor((Date.now() - new Date(raw).getTime()) / 86400000));
return {label: days === 0 ? 'Today' : `${days}d ago`, cls: days <= 7 ? 'good' : 'stale'};
};
const scoreFor = (p) => Number.isFinite(Number(p.score)) ? Number(p.score) : (p.score_factors || p.factors || []).reduce((n, f) => n + ({named_business:20,business_site:30,email:25,phone:15,description:10}[f] || 0), 0);
const labelFactor = (f) => ({named_business:'Named business',business_site:'Business site',email:'Email found',phone:'Phone found',description:'Description'}[f] || String(f).replaceAll('_',' '));
function renderMetrics(summary) {
const total = Number(summary?.businesses ?? summary?.total ?? prospects.length);
const high = prospects.filter(p => scoreFor(p) >= 80).length;
const review = prospects.filter(p => statusOf(p) === 'review').length;
const fresh = prospects.length ? Math.round(prospects.filter(p => freshness(p).cls === 'good').length / prospects.length * 100) : 0;
$('metricTotal').textContent = total; $('heroCount').textContent = `${total} prospects`;
$('metricReview').textContent = summary?.needs_review ?? review; $('metricHigh').textContent = summary?.high_fit ?? high; $('metricFresh').textContent = `${summary?.freshness_under_7d ?? fresh}%`;
}
function filtered() {
const q = $('searchInput').value.trim().toLowerCase(), sf = $('scoreFilter').value, st = $('statusFilter').value;
return prospects.filter(p => { const s=scoreFor(p), text=`${p.name} ${p.website_domain||p.website||''} ${p.location||''}`.toLowerCase(); return (!q || text.includes(q)) && (sf==='all' || (sf==='high'&&s>=80) || (sf==='medium'&&s>=60&&s<80) || (sf==='low'&&s<60)) && (st==='all' || statusOf(p)===st); });
}
function renderRows() {
const rows = filtered(); $('resultCount').textContent = `Showing ${rows.length} prospect${rows.length===1?'':'s'}`;
$('prospectRows').innerHTML = rows.length ? rows.map(p => { const s=scoreFor(p), f=freshness(p), st=statusOf(p), factors=p.score_factors||p.factors||[]; return `<tr data-id="${esc(p.id)}" class="${p.id===selectedId?'selected':''}"><td>${esc(p.name)}<span class="company-sub">${esc(p.website_domain || 'no detected website')}</span></td><td><span class="score ${scoreClass(s)}">${s} <small>/ 100</small></span></td><td class="evidence"><strong>${factors.length} signal${factors.length===1?'':'s'}</strong>${esc(factors.slice(0,2).map(labelFactor).join(' · ') || 'Limited evidence')}</td><td><span class="fresh ${f.cls}">${f.label}</span></td><td><span class="status ${st}">${st==='review'?'Needs review':st[0].toUpperCase()+st.slice(1)}</span></td><td class="row-arrow"></td></tr>`; }).join('') : '<tr><td colspan="6" class="muted">No prospects match these filters.</td></tr>';
document.querySelectorAll('#prospectRows tr[data-id]').forEach(row => row.addEventListener('click', () => { selectedId = Number(row.dataset.id); renderRows(); renderDetail(); }));
}
function renderDetail() {
const p = prospects.find(x => Number(x.id) === Number(selectedId)); if (!p) return;
const s=scoreFor(p), st=statusOf(p), f=freshness(p), factors=p.score_factors||p.factors||[], blocked=st==='review' || st==='suppressed';
$('detailPanel').innerHTML = `<div class="detail-head"><div><p class="eyebrow">PROSPECT DETAIL</p><h3>${esc(p.name)}</h3><p class="detail-domain">${esc(p.website_domain || 'no detected website')}</p></div><span class="status ${st}">${st==='review'?'Needs review':st[0].toUpperCase()+st.slice(1)}</span></div><div class="detail-score"><div><small>Fit score</small><b>${s}<small>/ 100</small></b></div><span class="score ${scoreClass(s)}">${esc(p.confidence || (s>=80?'High':s>=60?'Medium':'Low'))} confidence</span></div><div class="detail-block"><h4>Evidence & signals</h4>${factors.length ? factors.map(x=>`<p class="evidence-line"><span>✓ ${esc(labelFactor(x))}</span><span class="confidence">${esc(p.confidence || 'Medium')}</span></p>`).join('') : '<p>Limited evidence available for this record.</p>'}</div><div class="detail-block"><h4>Data quality</h4><p class="evidence-line"><span>Last checked</span><span>${f.label}</span></p><p class="evidence-line"><span>Website</span><span>${p.website_domain?'Detected':'no detected website'}</span></p></div>${blocked?`<button class="button disabled-action" disabled aria-disabled="true">Outreach unavailable</button><p class="disabled-reason">${st==='suppressed'?'Suppressed records cannot be contacted.':'Review this prospect before outreach is available.'}</p>`:''}`;
}
async function loadData() {
$('apiStatus').textContent = API_BASE ? '● Connecting…' : '● Demo data';
try { const [listRes, summaryRes] = await Promise.all([fetch(endpoint('/api/v1/businesses')), fetch(endpoint('/api/v1/dashboard/summary'))]); if (!listRes.ok || !summaryRes.ok) throw new Error('API request failed'); const list=await listRes.json(), summary=await summaryRes.json(); prospects=Array.isArray(list)?list:(list.businesses||list.items||[]); renderMetrics(summary); $('apiStatus').textContent='● API connected'; $('apiStatus').classList.add('live'); } catch (error) { prospects=demoProspects; renderMetrics(null); $('apiStatus').textContent=API_BASE?'● API unavailable · demo data':'● Demo data'; }
renderRows();
}
async function addProspect(event) { event.preventDefault(); const data=Object.fromEntries(new FormData(event.currentTarget).entries()); const msg=$('formMessage'); if (!API_BASE) { prospects.unshift({...data,id:`local-${Date.now()}`,score:data.website?50:20,status:'review',confidence:'Low'}); msg.textContent='Added to local preview review queue.'; event.currentTarget.reset(); renderMetrics(null); renderRows(); return; } try { const res=await fetch(endpoint('/api/v1/businesses'),{method:'POST',headers:{'Content-Type':'application/json'},body:JSON.stringify(data)}); const body=await res.json(); if(!res.ok) throw new Error(body.error||'Could not add prospect'); prospects.unshift(body); msg.textContent='Added to review queue.'; event.currentTarget.reset(); renderMetrics(null); renderRows(); } catch(e) { msg.textContent=e.message; msg.className='form-message error'; } }
function parseCsv(text) { const lines=text.trim().split(/\r?\n/).filter(Boolean), cells=line=>line.match(/("[^"]*(?:""[^"]*)*"|[^,]+)(?=,|$)/g)?.map(x=>x.replace(/^"|"$/g,'').replaceAll('""','"'))||[]; if(!lines.length)return []; const headers=cells(lines[0]); return lines.slice(1,11).map(l=>Object.fromEntries(cells(l).map((v,i)=>[headers[i]||`column_${i+1}`,v]))); }
function renderCsv(rows) { if(!rows.length){$('csvPreview').innerHTML='<span>⊞</span><p>No data rows found</p>';return;} const h=Object.keys(rows[0]); $('csvPreview').className='csv-table'; $('csvPreview').innerHTML=`<table><thead><tr>${h.map(x=>`<th>${esc(x)}</th>`).join('')}</tr></thead><tbody>${rows.map(r=>`<tr>${h.map(x=>`<td>${esc(r[x])}</td>`).join('')}</tr>`).join('')}</tbody></table><small class="muted">Showing up to 10 rows · Preview only; nothing added yet.</small>`; }
$('searchInput').addEventListener('input',renderRows); $('scoreFilter').addEventListener('change',renderRows); $('statusFilter').addEventListener('change',renderRows); $('refreshBtn').addEventListener('click',loadData); $('addForm').addEventListener('submit',addProspect); $('csvInput').addEventListener('change',e=>{const file=e.target.files[0]; if(file){const reader=new FileReader();reader.onload=()=>renderCsv(parseCsv(reader.result));reader.readAsText(file);}}); $('menuBtn').addEventListener('click',()=>document.querySelector('.sidebar').classList.toggle('open')); document.querySelectorAll('[data-scroll]').forEach(b=>b.addEventListener('click',()=>document.querySelector(b.dataset.scroll)?.scrollIntoView()));
loadData();
})();
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<!doctype html>
<html lang="en">
<head>
<meta charset="utf-8">
<meta name="viewport" content="width=device-width, initial-scale=1">
<title>ProspectOS · Pipeline intelligence</title>
<meta name="description" content="Prospect discovery and review dashboard">
<link rel="stylesheet" href="styles.css">
</head>
<body>
<div class="app-shell">
<aside class="sidebar">
<a class="brand" href="#top" aria-label="ProspectOS home"><span class="brand-mark"></span><span>Prospect<span class="brand-light">OS</span></span></a>
<nav aria-label="Primary navigation">
<a class="nav-item active" href="#dashboard"><span></span> Dashboard</a>
<a class="nav-item" href="#explorer"><span></span> Prospect explorer</a>
<a class="nav-item" href="#add"><span></span> Add prospects</a>
</nav>
<div class="sidebar-foot"><div class="live-dot"></div><div><strong>Workspace live</strong><small>Data sync is healthy</small></div></div>
</aside>
<main class="main" id="top">
<header class="topbar"><button class="mobile-menu" id="menuBtn" aria-label="Toggle navigation"></button><div class="crumb">Workspace <span>/</span> Growth pipeline</div><div class="top-actions"><span class="api-status" id="apiStatus">● Demo data</span><button class="icon-button" aria-label="Notifications"></button><div class="avatar">AR</div></div></header>
<div class="content">
<section class="hero" id="dashboard"><div><p class="eyebrow">EVIDENCE-LED PROSPECTING</p><h1>Good morning, Alex <span></span></h1><p class="hero-sub">Your pipeline has <strong id="heroCount">0 prospects</strong> ready for review.</p></div><button class="button primary" data-scroll="#add"> Add prospect</button></section>
<section class="metrics" aria-label="Dashboard metrics">
<article class="metric-card"><div class="metric-icon violet"></div><div><p>Total prospects</p><h2 id="metricTotal">0</h2><span class="trend neutral">● Current workspace</span></div></article>
<article class="metric-card"><div class="metric-icon amber"></div><div><p>Needs review</p><h2 id="metricReview">0</h2><span class="trend neutral">● Human verification</span></div></article>
<article class="metric-card"><div class="metric-icon green"></div><div><p>High-fit prospects</p><h2 id="metricHigh">0</h2><span class="trend neutral">● Score 80+</span></div></article>
<article class="metric-card"><div class="metric-icon blue"></div><div><p>Freshness under 7d</p><h2 id="metricFresh">0%</h2><span class="trend neutral">● Evidence coverage</span></div></article>
</section>
<section class="workspace-grid" id="explorer">
<div class="explorer-panel panel"><div class="panel-heading"><div><p class="eyebrow">PIPELINE</p><h2>Prospect explorer</h2></div><button class="button ghost" id="refreshBtn">↻ Refresh</button></div>
<div class="filters"><label class="search-wrap"><span></span><input id="searchInput" type="search" placeholder="Search companies, domains, locations…" autocomplete="off"></label><select id="scoreFilter" aria-label="Filter by score"><option value="all">All scores</option><option value="high">High fit · 80+</option><option value="medium">Medium · 6079</option><option value="low">Low · under 60</option></select><select id="statusFilter" aria-label="Filter by status"><option value="all">All statuses</option><option value="review">Needs review</option><option value="reviewed">Reviewed</option><option value="suppressed">Suppressed</option></select></div>
<div class="table-meta"><span id="resultCount">Showing 0 prospects</span><span class="legend"><span class="legend-dot high-dot"></span> High fit <span class="legend-dot review-dot"></span> Needs review</span></div>
<div class="table-scroll"><table><thead><tr><th>Company</th><th>Fit score</th><th>Evidence</th><th>Freshness</th><th>Status</th><th></th></tr></thead><tbody id="prospectRows"></tbody></table></div>
</div>
<aside class="detail-panel panel" id="detailPanel"><div class="empty-detail"><span class="empty-icon"></span><h3>Select a prospect</h3><p>Review evidence, confidence, and eligibility before taking action.</p></div></aside>
</section>
<section class="lower-grid" id="add"><article class="panel add-panel"><div class="panel-heading"><div><p class="eyebrow">INTAKE</p><h2>Add a prospect</h2></div><span class="small-label">Manual entry</span></div><form id="addForm"><div class="form-grid"><label>Company name<input required name="name" placeholder="Acme Inc."></label><label>Website <span class="optional">optional</span><input name="website" type="url" placeholder="https://acme.com"></label><label>Location<input name="location" placeholder="Cape Town, ZA"></label><label>Notes <span class="optional">optional</span><input name="description" placeholder="Why this is a fit…"></label></div><div class="form-footer"><p id="formMessage" class="form-message" role="status"></p><button class="button primary" type="submit">Add to review queue</button></div></form></article>
<article class="panel csv-panel"><div class="panel-heading"><div><p class="eyebrow">BULK INTAKE</p><h2>CSV preview</h2></div><label class="button ghost upload-label" for="csvInput">↑ Choose CSV</label><input id="csvInput" type="file" accept=".csv,text/csv" hidden></div><p class="muted">Preview rows before adding them to your review queue.</p><div id="csvPreview" class="csv-empty"><span></span><p>No file selected</p><small>CSV stays in your browser until you confirm.</small></div></article></section>
<footer><span>ProspectOS</span><span>Evidence-led prospecting · <a href="#explorer">Review queue</a></span></footer>
</div>
</main>
</div>
<script src="app.js"></script>
</body>
</html>
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<!doctype html><meta charset="utf-8"><title>ProspectOS smoke test</title><style>body{font:16px system-ui;padding:2rem;background:#f7f8fb;color:#172033}li{margin:.5rem 0}.pass{color:#16845b}.fail{color:#b84d55}</style><h1>ProspectOS static smoke test</h1><p id="summary">Running…</p><ul id="checks"></ul><iframe id="app" src="index.html" hidden></iframe><script>const checks=[['Dashboard metrics',d=>!!d.querySelector('#metricTotal')],['Explorer table',d=>!!d.querySelector('#prospectRows')],['Add prospect form',d=>!!d.querySelector('#addForm')],['CSV preview control',d=>!!d.querySelector('#csvInput')],['No outreach/send controls',d=>!Array.from(d.querySelectorAll('button')).some(x=>/outreach|send/i.test(x.textContent)&&!x.disabled)]];const frame=document.querySelector('#app');frame.onload=()=>setTimeout(()=>{const d=frame.contentDocument;let passed=0;document.querySelector('#checks').innerHTML=checks.map(([name,test])=>{const ok=test(d);if(ok)passed++;return `<li class="${ok?'pass':'fail'}">${ok?'PASS':'FAIL'}${name}</li>`}).join('');document.querySelector('#summary').textContent=`${passed}/${checks.length} checks passed`;},500);</script>
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