#!/usr/bin/env python3
"""
Crawler: 江门市广海湾经济开发区管理委员会 - 部门文件 (NFCMS)
JSON API: /postmeta/i/22332.json returns all article metadata
Detail: /content/post_ID.html, content in content_div
"""
import sys, os, json, re, time, requests
from datetime import datetime, timedelta
from bs4 import BeautifulSoup
from urllib.parse import urljoin

DB_PATH = os.getenv("SEARCH_DB", "/root/search.db")
SITE = "江门市广海湾经济开发区管理委员会"
COLUMN = "部门文件"
BASE_URL = "http://www.cnts.gov.cn"
JSON_URL = f"{BASE_URL}/postmeta/i/22332.json"
HEADERS = {"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36"}


def log(msg):
    print(f"[{SITE}] {msg}", flush=True)


def fetch_article_list():
    try:
        r = requests.get(JSON_URL, headers=HEADERS, timeout=30)
        return r.json()
    except Exception as e:
        log(f"JSON API error: {e}")
        return None


def fetch_detail(detail_url):
    try:
        r = requests.get(detail_url, headers=HEADERS, timeout=30)
        r.encoding = "utf-8"
        return r.text
    except Exception as e:
        log(f"Detail error: {e}")
        return None


def parse_detail(html):
    result = {"title": "", "publish_date": "", "content": ""}
    soup = BeautifulSoup(html, "html.parser")

    # Title
    title_tag = soup.find("title")
    if title_tag:
        t = title_tag.get_text(strip=True)
        t = re.sub(r'[_\-—]\s*部门文件\s*[_\-—]\s*江门市广海湾经济开发区管理委员会\s*$', '', t)
        t = re.sub(r'[_\-—]\s*江门市广海湾经济开发区管理委员会\s*$', '', t)
        result["title"] = t.strip()

    # Date from meta PubDate
    meta_date = soup.find("meta", attrs={"name": "PubDate"})
    if meta_date and meta_date.get("content"):
        result["publish_date"] = meta_date["content"][:10]

    # Content from content_div
    content_div = soup.find("div", class_="content_div")
    if not content_div:
        content_div = soup.find("div", class_=lambda c: c and "content" in (c or ""))
    if content_div:
        result["content"] = extract_clean_text(str(content_div))
    else:
        body = soup.find("body")
        if body:
            result["content"] = body.get_text(separator="\n", strip=True)[:2000]

    return result


def extract_clean_text(content_html):
    if not content_html:
        return ""
    soup = BeautifulSoup(content_html, "html.parser")
    for a_tag in soup.find_all("a", href=True):
        href = a_tag.get("href", "")
        text = a_tag.get_text(strip=True) or "附件"
        full_url = urljoin(BASE_URL, href)
        a_tag.replace_with(f"[{text}]({full_url})")
    for tag in soup.find_all(['span', 'b', 'strong', 'font', 'em', 'i', 'u', 's']):
        tag.unwrap()
    parts = []
    for el in soup.find_all(['table', 'p']):
        if el.name == 'table':
            parts.append(str(el))
        elif el.name == 'p' and not el.find_parent('table'):
            t = el.get_text(separator='', strip=True)
            if t:
                parts.append(t)
    return '\n\n'.join(parts) if parts else content_html.strip()


def crawl_all(months_back=36):
    cutoff = (datetime.now() - timedelta(days=months_back * 30)).strftime("%Y-%m-%d")
    log(f"Full crawl (cutoff: {cutoff})")
    data = fetch_article_list()
    if not data:
        return
    articles = data.get("articles", [])
    log(f"Total articles: {len(articles)}")

    enriched = []
    for idx, art in enumerate(articles, 1):
        created = (art.get("created_at", "") or "")[:10]
        if created < cutoff:
            log(f"  Skip {art['title'][:40]}... ({created})")
            continue
        detail_url = art.get("url", "")
        html = fetch_detail(detail_url)
        if html:
            detail = parse_detail(html)
            title = detail["title"] or art.get("title", "")
            pub_date = detail["publish_date"] or created
            content = detail["content"]
        else:
            title = art.get("title", "")
            pub_date = created
            content = ""

        enriched.append({
            "title": title,
            "page_url": detail_url,
            "publish_date": pub_date,
            "content": content,
            "site_name": f"{SITE}-{COLUMN}",
            "column": COLUMN,
        })
        log(f"  {idx}/{len(articles)}: {title[:40]}...")
        time.sleep(0.5)

    stored = 0
    skipped = 0
    import sqlite3
    conn = sqlite3.connect(DB_PATH, timeout=60)
    conn.execute("PRAGMA journal_mode=WAL")
    conn.execute("PRAGMA busy_timeout=10000")
    c = conn.cursor()
    for item in enriched:
        try:
            c.execute(
                "INSERT OR IGNORE INTO gov_raw "
                "(site_name, source_url, page_url, title, publish_date, content, summary, category)"
                " VALUES (?,?,?,?,?,?,?,?)",
                (item["site_name"], item["page_url"], item["page_url"],
                 item["title"], item["publish_date"], item["content"],
                 (item["content"] or "")[:500], item["column"]))
            if c.rowcount > 0:
                stored += 1
            else:
                skipped += 1
        except Exception as e:
            log(f"DB error: {e}")
            skipped += 1
    conn.commit()
    conn.close()
    log(f"Result: {stored} new, {skipped} skipped")


def crawl_incremental():
    cutoff = (datetime.now() - timedelta(days=7)).strftime("%Y-%m-%d")
    log(f"Incremental (since {cutoff})")
    data = fetch_article_list()
    if not data:
        return
    articles = data.get("articles", [])

    enriched = []
    for art in articles:
        created = (art.get("created_at", "") or "")[:10]
        if created < cutoff:
            continue
        detail_url = art.get("url", "")
        html = fetch_detail(detail_url)
        detail = parse_detail(html) if html else {"title": "", "publish_date": "", "content": ""}
        enriched.append({
            "title": detail["title"] or art.get("title", ""),
            "page_url": detail_url,
            "publish_date": detail["publish_date"] or created,
            "content": detail["content"],
            "site_name": f"{SITE}-{COLUMN}",
            "column": COLUMN,
        })
        time.sleep(0.5)

    stored = 0
    skipped = 0
    import sqlite3
    conn = sqlite3.connect(DB_PATH, timeout=60)
    conn.execute("PRAGMA journal_mode=WAL")
    conn.execute("PRAGMA busy_timeout=10000")
    c = conn.cursor()
    for item in enriched:
        try:
            c.execute(
                "INSERT OR IGNORE INTO gov_raw "
                "(site_name, source_url, page_url, title, publish_date, content, summary, category)"
                " VALUES (?,?,?,?,?,?,?,?)",
                (item["site_name"], item["page_url"], item["page_url"],
                 item["title"], item["publish_date"], item["content"],
                 (item["content"] or "")[:500], item["column"]))
            if c.rowcount > 0:
                stored += 1
            else:
                skipped += 1
        except Exception as e:
            log(f"DB error: {e}")
            skipped += 1
    conn.commit()
    conn.close()
    log(f"Result: {stored} new, {skipped} skipped")


if __name__ == "__main__":
    mode = sys.argv[1] if len(sys.argv) > 1 else "incremental"
    if mode == "incremental":
        crawl_incremental()
    elif mode == "full":
        crawl_all()
    elif mode == "list":
        data = fetch_article_list()
        if data:
            for art in data.get("articles", [])[:5]:
                print(f"  {art.get('created_at','')[:10]} | {art.get('title','')[:60]}")
