#!/usr/bin/env python3
"""P59 Phase 2 — Seed compliance.cookie_library from Open Cookie Database (CC0).

Open Cookie Database: jkwakman/Open-Cookie-Database (CC0-1.0 Public Domain).
~700 categorised cookies maintained by Cybot/Cookiebot community."""
from __future__ import annotations

import csv
import io
import os
import sys
import urllib.request

import psycopg2

OCD_URL = (
    "https://raw.githubusercontent.com/jkwakman/Open-Cookie-Database/master/"
    "open-cookie-database.csv"
)

CATEGORY_MAP = {
    "strictly necessary": "essential",
    "functional": "functional",
    "performance": "statistics",
    "analytics": "statistics",
    "targeting": "marketing",
    "marketing": "marketing",
    "advertisement": "marketing",
    "social media": "social_media",
    "unclassified": "unknown",
}


def parse_max_age(retention: str) -> int | None:
    """Approximate seconds from retention strings like '2 years' / '30 days'."""
    if not retention:
        return None
    r = retention.lower().strip()
    if "session" in r:
        return 0
    import re
    m = re.search(r"(\d+)\s*(jahr|year|day|tag|month|monat|hour|stund|minute)", r)
    if not m:
        return None
    n = int(m.group(1))
    unit = m.group(2)
    multipliers = {
        "jahr": 31536000, "year": 31536000,
        "month": 2592000, "monat": 2592000,
        "day": 86400, "tag": 86400,
        "hour": 3600, "stund": 3600,
        "minute": 60,
    }
    return n * multipliers.get(unit, 1)


def main() -> int:
    dsn = os.environ.get("DATABASE_URL")
    if not dsn:
        print("DATABASE_URL missing", file=sys.stderr); return 1
    print(f"Fetching {OCD_URL} ...", file=sys.stderr)
    try:
        with urllib.request.urlopen(OCD_URL, timeout=30) as r:
            body = r.read().decode("utf-8", errors="replace")
    except Exception as e:
        print(f"Fetch failed: {e}", file=sys.stderr); return 2
    reader = csv.DictReader(io.StringIO(body))
    rows = list(reader)
    print(f"Parsed {len(rows)} rows", file=sys.stderr)

    conn = psycopg2.connect(dsn)
    cur = conn.cursor()
    inserted = 0
    skipped = 0
    for r in rows:
        name = (r.get("Cookie / Data Key name") or "").strip()
        domain = (r.get("Domain") or "").strip()
        if not name:
            skipped += 1
            continue
        category_raw = (r.get("Category") or "").strip().lower()
        actual_category = CATEGORY_MAP.get(category_raw, "unknown")
        vendor = (r.get("Platform") or r.get("Data Controller") or "Unknown").strip()
        purpose = (r.get("Description") or "").strip()[:1000]
        privacy_url = (r.get("User Privacy & GDPR Rights Portals") or "").strip()
        max_age = parse_max_age(r.get("Retention period") or "")
        # Wildcard match flag → domain_pattern
        domain_pattern = domain or "*"
        cur.execute(
            """
            INSERT INTO compliance.cookie_library
                (cookie_name, domain_pattern, vendor_name,
                 vendor_privacy_url, actual_category, purpose_en,
                 typical_max_age_seconds, source_name, source_url,
                 source_license, confidence)
            VALUES (%s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s)
            ON CONFLICT DO NOTHING
            """,
            (name, domain_pattern, vendor[:200], privacy_url or None,
             actual_category, purpose or None, max_age,
             "Open Cookie Database", OCD_URL, "CC0-1.0", 0.75),
        )
        inserted += cur.rowcount
    conn.commit()
    print(f"\nInserted {inserted}, skipped {skipped}")
    cur.execute("SELECT actual_category, COUNT(*) "
                "FROM compliance.cookie_library GROUP BY actual_category "
                "ORDER BY 2 DESC")
    for row in cur.fetchall():
        print(f"  {row[0]:15s}: {row[1]}")
    return 0


if __name__ == "__main__":
    sys.exit(main())