miku-discord/bot/utils/twitter_fetcher.py

# utils/twitter_fetcher.py

import asyncio
import json
from typing import Dict, Any

# Apply twscrape fix BEFORE importing twscrape
from utils.twscrape_fix import apply_twscrape_fix
apply_twscrape_fix()

from twscrape import API, gather, Account
from playwright.async_api import async_playwright
from pathlib import Path

COOKIE_PATH = Path(__file__).parent / "x.com.cookies.json"

async def extract_media_urls(page, tweet_url):
    print(f"🔍 Visiting tweet page: {tweet_url}")
    try:
        await page.goto(tweet_url, timeout=15000)
        await page.wait_for_timeout(1000)

        media_elements = await page.query_selector_all("img[src*='pbs.twimg.com/media']")
        urls = set()

        for element in media_elements:
            src = await element.get_attribute("src")
            if src:
                cleaned = src.split("&name=")[0] + "&name=large"
                urls.add(cleaned)

        print(f"🖼️ Found {len(urls)} media URLs on tweet: {tweet_url}")
        return list(urls)

    except Exception as e:
        print(f"❌ Playwright error on {tweet_url}: {e}")
        return []

async def fetch_miku_tweets(limit=5):
    # Load cookies from JSON file
    with open(COOKIE_PATH, "r", encoding="utf-8") as f:
        cookie_list = json.load(f)
    cookie_header = "; ".join(f"{c['name']}={c['value']}" for c in cookie_list)

    # Add the account to twscrape
    api = API()
    await api.pool.add_account(
        username="HSankyuu39",
        password="x",           # placeholder (won't be used)
        email="x",              # optional
        email_password="x",     # optional
        cookies=cookie_header
    )
    await api.pool.login_all()

    print(f"🔎 Searching for Miku tweets (limit={limit})...")
    query = 'Hatsune Miku OR 初音ミク has:images after:2025'
    tweets = await gather(api.search(query, limit=limit, kv={"product": "Top"}))

    print(f"📄 Found {len(tweets)} tweets, launching browser...")

    async with async_playwright() as p:
        browser = await p.firefox.launch(headless=True)
        context = await browser.new_context()

        await context.route("**/*", lambda route, request: (
            route.abort() if any([
                request.resource_type in ["font", "stylesheet"],
                "analytics" in request.url,
                "googletagmanager" in request.url,
                "ads-twitter" in request.url,
            ]) else route.continue_()
        ))

        page = await context.new_page()

        results = []
        for i, tweet in enumerate(tweets, 1):
            username = tweet.user.username
            tweet_url = f"https://twitter.com/{username}/status/{tweet.id}"
            print(f"🧵 Processing tweet {i}/{len(tweets)} from @{username}")
            media_urls = await extract_media_urls(page, tweet_url)

            if media_urls:
                results.append({
                    "username": username,
                    "text": tweet.rawContent,
                    "url": tweet_url,
                    "media": media_urls
                })

        await browser.close()
        print(f"✅ Finished! Returning {len(results)} tweet(s) with media.")
        return results


async def _search_latest(api: API, query: str, limit: int) -> list:
    # kv product "Latest" to search by latest
    try:
        return await gather(api.search(query, limit=limit, kv={"product": "Latest"}))
    except Exception as e:
        print(f"⚠️ Latest search failed for '{query}': {e}")
        return []


async def fetch_figurine_tweets_latest(limit_per_source: int = 10) -> list:
    """Search three sources by Latest, collect tweets with images, and return unified list of dicts.
    Sources:
      - "miku figure from:mecchaJP"
      - "miku from:GoodSmile_US"
      - "miku from:OtakuOwletMerch"
    """
    # Load cookies
    with open(COOKIE_PATH, "r", encoding="utf-8") as f:
        cookie_list = json.load(f)
    cookie_header = "; ".join(f"{c['name']}={c['value']}" for c in cookie_list)

    api = API()
    await api.pool.add_account(
        username="HSankyuu39",
        password="x",
        email="x",
        email_password="x",
        cookies=cookie_header
    )
    await api.pool.login_all()

    queries = [
        "miku figure from:mecchaJP",
        "miku from:GoodSmile_US",
        "miku from:OtakuOwletMerch",
    ]

    print("🔎 Searching figurine tweets by Latest across sources...")
    all_tweets = []
    for q in queries:
        tweets = await _search_latest(api, q, limit_per_source)
        all_tweets.extend(tweets)

    print(f"📄 Found {len(all_tweets)} candidate tweets, launching browser to extract media...")

    async with async_playwright() as p:
        browser = await p.firefox.launch(headless=True)
        context = await browser.new_context()
        await context.route("**/*", lambda route, request: (
            route.abort() if any([
                request.resource_type in ["font", "stylesheet"],
                "analytics" in request.url,
                "googletagmanager" in request.url,
                "ads-twitter" in request.url,
            ]) else route.continue_()
        ))

        page = await context.new_page()
        results = []
        for i, tweet in enumerate(all_tweets, 1):
            try:
                username = tweet.user.username
                tweet_url = f"https://twitter.com/{username}/status/{tweet.id}"
                print(f"🧵 Processing tweet {i}/{len(all_tweets)} from @{username}")
                media_urls = await extract_media_urls(page, tweet_url)
                if media_urls:
                    results.append({
                        "username": username,
                        "text": tweet.rawContent,
                        "url": tweet_url,
                        "media": media_urls
                    })
            except Exception as e:
                print(f"⚠️ Error processing tweet: {e}")

        await browser.close()
        print(f"✅ Figurine fetch finished. Returning {len(results)} tweet(s) with media.")
        return results


# Note: fetch_tweet_by_url was removed - now using twscrape-based approach in figurine_notifier.py
# This avoids Playwright browser dependencies while maintaining functionality