Files
tvbox_collect/jaychouqq/yingshi/php/crawler.py
T
2026-06-29 03:41:14 +00:00

504 lines
18 KiB
Python

import subprocess
import sqlite3
import json
import os
import sys
import time
import argparse
import threading
import queue
from datetime import datetime
from concurrent.futures import ThreadPoolExecutor
# --- 用户配置区域 (User Configuration) ---
# 默认使用的PHP爬虫文件路径
# 获取当前脚本所在目录
SCRIPT_DIR = os.path.dirname(os.path.abspath(__file__))
# 获取项目根目录 (假设脚本在 scripts/python,根目录在 ../../)
PROJECT_ROOT = os.path.abspath(os.path.join(SCRIPT_DIR, "../../"))
DEFAULT_SPIDER = os.path.join(SCRIPT_DIR, "74P福利图 ᵈᶻ[画].php")
# 每个分类默认最大爬取页数 (设置为 0 或 None 表示不限制,直到爬完)
DEFAULT_MAX_PAGES = 1
# 默认并发线程数
DEFAULT_THREADS = 8
# 是否解析最终播放地址 (True: 解析并存入resolved_url, False: 只存入原始链接)
RESOLVE_FINAL_URLS = True
# PHP 命令路径
PHP_CMD = "php"
# 桥接脚本路径
BRIDGE_SCRIPT = os.path.join(SCRIPT_DIR, "_crawler_bridge.php")
# --- 数据库管理 (Database Manager) ---
class DBManager:
def __init__(self, db_path):
# check_same_thread=False 允许在多线程中使用同一个连接,但需要我们自己加锁
self.conn = sqlite3.connect(db_path, check_same_thread=False)
self.cursor = self.conn.cursor()
self.lock = threading.Lock()
self.init_tables()
self._source_cache = {}
def init_tables(self):
with self.lock:
# 优化:移除 source_file 字段 (假设每个DB只对应一个源)
# 优化:移除 type_name (通过关联查询获取)
# 优化:crawled_at 使用 INTEGER 时间戳
self.cursor.execute('''
CREATE TABLE IF NOT EXISTS categories (
tid TEXT PRIMARY KEY,
name TEXT
)
''')
self.cursor.execute('''
CREATE TABLE IF NOT EXISTS vods (
id INTEGER PRIMARY KEY AUTOINCREMENT,
vod_id TEXT UNIQUE,
vod_name TEXT,
type_id TEXT,
vod_pic TEXT,
vod_remarks TEXT,
vod_content TEXT,
crawled_at INTEGER,
FOREIGN KEY(type_id) REFERENCES categories(tid)
)
''')
# 新增:播放源表 (归一化 play_from)
self.cursor.execute('''
CREATE TABLE IF NOT EXISTS play_sources (
id INTEGER PRIMARY KEY AUTOINCREMENT,
name TEXT UNIQUE
)
''')
self.cursor.execute('''
CREATE TABLE IF NOT EXISTS episodes (
id INTEGER PRIMARY KEY AUTOINCREMENT,
vod_pk INTEGER,
sid INTEGER,
name TEXT,
raw_url TEXT,
resolved_url TEXT,
FOREIGN KEY(vod_pk) REFERENCES vods(id),
FOREIGN KEY(sid) REFERENCES play_sources(id)
)
''')
self.conn.commit()
def get_or_create_source(self, name):
# 简单缓存
if name in self._source_cache:
return self._source_cache[name]
with self.lock:
try:
self.cursor.execute('INSERT OR IGNORE INTO play_sources (name) VALUES (?)', (name,))
self.cursor.execute('SELECT id FROM play_sources WHERE name = ?', (name,))
row = self.cursor.fetchone()
if row:
sid = row[0]
self._source_cache[name] = sid
return sid
return 0
except Exception as e:
print(f"[DB Error] get_or_create_source: {e}")
return 0
def save_category(self, tid, name):
with self.lock:
try:
self.cursor.execute('INSERT OR IGNORE INTO categories (tid, name) VALUES (?, ?)',
(tid, name))
# 如果名称更新了,也可以 update
self.cursor.execute('UPDATE categories SET name = ? WHERE tid = ? AND name != ?', (name, tid, name))
self.conn.commit()
except Exception as e:
print(f"[DB Error] save_category: {e}")
def item_exists(self, vod_id):
with self.lock:
try:
self.cursor.execute('SELECT 1 FROM vods WHERE vod_id = ?', (vod_id,))
return self.cursor.fetchone() is not None
except Exception as e:
print(f"[DB Error] item_exists: {e}")
return False
def save_vod(self, data):
with self.lock:
try:
self.cursor.execute('''
INSERT OR REPLACE INTO vods (vod_id, vod_name, type_id, vod_pic, vod_remarks, vod_content, crawled_at)
VALUES (?, ?, ?, ?, ?, ?, ?)
''', (
data.get('vod_id'),
data.get('vod_name'),
data.get('type_id'),
data.get('vod_pic'),
data.get('vod_remarks'),
data.get('vod_content'),
int(time.time())
))
vod_pk = self.cursor.lastrowid
if vod_pk == 0:
self.cursor.execute('SELECT id FROM vods WHERE vod_id = ?', (data.get('vod_id'),))
res = self.cursor.fetchone()
if res: vod_pk = res[0]
self.conn.commit()
return vod_pk
except Exception as e:
print(f"[DB Error] save_vod: {e}")
return None
def save_episodes(self, vod_pk, episodes):
# 预处理 source_id 以减少锁内操作时间
# 但 get_or_create_source 本身也加锁,所以这里可以先收集
processed_eps = []
for ep in episodes:
sid = self.get_or_create_source(ep['play_from'])
processed_eps.append((sid, ep['name'], ep['url'], ep.get('resolved_url', '')))
with self.lock:
try:
self.cursor.execute('DELETE FROM episodes WHERE vod_pk = ?', (vod_pk,))
self.cursor.executemany('''
INSERT INTO episodes (vod_pk, sid, name, raw_url, resolved_url)
VALUES (?, ?, ?, ?, ?)
''', [(vod_pk, sid, name, raw_url, res_url) for sid, name, raw_url, res_url in processed_eps])
self.conn.commit()
except Exception as e:
print(f"[DB Error] save_episodes: {e}")
def close(self):
self.conn.close()
# --- PHP 桥接调用 (PHP Bridge) ---
class PHPBridge:
def __init__(self, spider_path):
self.spider_path = spider_path
def call(self, method, *args):
# 构建命令
cmd = [PHP_CMD, BRIDGE_SCRIPT, self.spider_path, method]
cmd_args = []
for arg in args:
if isinstance(arg, (dict, list)):
cmd_args.append(json.dumps(arg))
else:
cmd_args.append(str(arg))
cmd.extend(cmd_args)
try:
# subprocess.run 是同步阻塞的,但在多线程中调用是安全的
result = subprocess.run(cmd, capture_output=True, text=True, encoding='utf-8')
if result.returncode != 0:
if "Warning" not in result.stderr and "Notice" not in result.stderr:
pass
return None
output = result.stdout.strip()
try:
json_res = json.loads(output)
if json_res['status'] == 'success':
return json_res['data']
else:
return None
except json.JSONDecodeError:
return None
except Exception as e:
print(f"[Bridge Error] {e}")
return None
# --- 任务追踪器 (Task Tracker) ---
class TaskTracker:
def __init__(self):
self.lock = threading.Lock()
self.cond = threading.Condition(self.lock)
self.pending = 0
def add(self, n=1):
with self.lock:
self.pending += n
def done(self):
with self.lock:
self.pending -= 1
if self.pending == 0:
self.cond.notify_all()
def wait_until_done(self):
with self.lock:
while self.pending > 0:
self.cond.wait()
# --- 统计与监控 (Stats & Monitor) ---
class Stats:
def __init__(self):
self.lock = threading.Lock()
self.categories_found = 0
self.pages_scanned = 0
self.items_found = 0
self.items_processed = 0
self.items_skipped = 0
self.episodes_resolved = 0
self.errors = 0
self.start_time = time.time()
def inc(self, field, count=1):
with self.lock:
setattr(self, field, getattr(self, field) + count)
# --- 爬虫逻辑 (Crawler Logic) ---
class Crawler:
def __init__(self, spider_path, db_path, max_pages=DEFAULT_MAX_PAGES, max_workers=DEFAULT_THREADS):
self.spider_path = spider_path
self.bridge = PHPBridge(spider_path)
self.db = DBManager(db_path)
self.max_pages = max_pages
self.max_workers = max_workers
self.stats = Stats()
self.executor = ThreadPoolExecutor(max_workers=max_workers)
self.tracker = TaskTracker()
self.running = True
# 启动监控线程
self.monitor_thread = threading.Thread(target=self.monitor_loop, daemon=True)
self.monitor_thread.start()
def submit_task(self, func, *args):
self.tracker.add()
self.executor.submit(self._wrap_task, func, *args)
def _wrap_task(self, func, *args):
try:
func(*args)
except Exception as e:
print(f"[Task Error] {e}")
self.stats.inc('errors')
finally:
self.tracker.done()
def run(self):
print(f"🚀 开始并发爬取: {os.path.basename(self.spider_path)}")
print(f"⚙️ 配置: 最大线程={self.max_workers}, 每个分类最大页数={self.max_pages}, 解 析地址={RESOLVE_FINAL_URLS}")
# 1. 获取首页分类
home_data = self.bridge.call('homeContent', True)
if not home_data or 'class' not in home_data:
print("❌ 无法获取分类信息,退出。")
return
categories = home_data['class']
self.stats.categories_found = len(categories)
print(f"📋 获取到 {len(categories)} 个分类,开始派发任务...")
# 2. 保存分类并派发分类任务
for cat in categories:
tid = str(cat['type_id'])
name = cat['type_name']
self.db.save_category(tid, name)
self.submit_task(self.process_category, tid, name)
# 3. 等待所有任务完成
self.tracker.wait_until_done()
self.running = False
self.print_final_stats()
# 关闭 executor 和 db
self.executor.shutdown(wait=True)
self.db.close()
def monitor_loop(self):
while self.running:
self.print_progress()
time.sleep(1)
def print_progress(self):
elapsed = time.time() - self.stats.start_time
speed = self.stats.items_processed / elapsed if elapsed > 0 else 0
# \033[K 清除当前行剩余内容,确保更新时不会有残留字符
sys.stdout.write(
f"\r\033[K⏱️ {elapsed:.1f}s | "
f"Pages: {self.stats.pages_scanned} | "
f"Items: {self.stats.items_processed}/{self.stats.items_found} | "
f"Skip: {self.stats.items_skipped} | "
f"Eps: {self.stats.episodes_resolved} | "
f"Speed: {speed:.2f} it/s | "
f"Err: {self.stats.errors}"
)
sys.stdout.flush()
def print_final_stats(self):
elapsed = time.time() - self.stats.start_time
print("\n" + "-" * 50)
print(f"统计报告:")
print(f" 总耗时: {elapsed:.2f} 秒")
print(f" 扫描页数: {self.stats.pages_scanned}")
print(f" 处理资源: {self.stats.items_processed}")
print(f" 跳过资源: {self.stats.items_skipped}")
print(f" 解析集数: {self.stats.episodes_resolved}")
print(f" 错误数量: {self.stats.errors}")
print("-" * 50)
def process_category(self, tid, tname):
cat_data = self.bridge.call('categoryContent', tid, 1, False, {})
if not cat_data or 'list' not in cat_data:
self.stats.inc('errors')
return
items = cat_data.get('list', [])
self.stats.inc('items_found', len(items))
self.stats.inc('pages_scanned')
for item in items:
item['type_id'] = tid
item['type_name'] = tname
self.submit_task(self.process_item, item)
page_count = 0
if 'pagecount' in cat_data:
try:
page_count = int(cat_data['pagecount'])
except:
page_count = 9999
# 递归触发第2页(如果需要)
# 如果明确返回只有1页,则停止;否则只要没达到max_pages就尝试下一页
if page_count != 1:
next_page = 2
if not self.max_pages or next_page <= self.max_pages:
self.submit_task(self.process_page, tid, tname, next_page)
def process_page(self, tid, tname, page):
cat_data = self.bridge.call('categoryContent', tid, page, False, {})
if not cat_data or 'list' not in cat_data:
self.stats.inc('errors')
return
items = cat_data.get('list', [])
self.stats.inc('items_found', len(items))
self.stats.inc('pages_scanned')
if len(items) == 0:
return
for item in items:
item['type_id'] = tid
item['type_name'] = tname
self.submit_task(self.process_item, item)
# 提交下一页任务(递归爬取)
if len(items) > 0:
next_page = page + 1
if not self.max_pages or next_page <= self.max_pages:
self.submit_task(self.process_page, tid, tname, next_page)
def process_item(self, item):
vod_id = item['vod_id']
vod_name = item['vod_name']
# 增量爬取检查:如果数据库中已存在该 vod_id,则跳过
if self.db.item_exists(vod_id):
# 即使跳过,也可以尝试更新 type_id (如果之前为空)
# 但为了性能,这里暂时略过,除非强制更新
self.stats.inc('items_skipped')
return
# 详情页爬取
detail_res = self.bridge.call('detailContent', [vod_id])
if not detail_res or 'list' not in detail_res or not detail_res['list']:
self.stats.inc('errors')
return
vod_data = detail_res['list'][0]
# 补全可能缺失的字段
if 'vod_id' not in vod_data: vod_data['vod_id'] = vod_id
if 'type_id' not in vod_data: vod_data['type_id'] = item.get('type_id')
# 存入 VOD 主表
vod_pk = self.db.save_vod(vod_data)
if not vod_pk:
self.stats.inc('errors')
return
self.stats.inc('items_processed')
# 处理播放列表
play_from_str = vod_data.get('vod_play_from', '')
play_url_str = vod_data.get('vod_play_url', '')
if not play_from_str or not play_url_str:
return
play_from_list = play_from_str.split('$$$')
play_url_list = play_url_str.split('$$$')
all_episodes = []
for i, source_name in enumerate(play_from_list):
if i >= len(play_url_list): break
url_text = play_url_list[i]
# 格式: 名字$地址#名字$地址
episodes = url_text.split('#')
for ep_str in episodes:
if '$' in ep_str:
ep_name, ep_url = ep_str.split('$', 1)
else:
ep_name, ep_url = '正片', ep_str
episode = {
'play_from': source_name,
'name': ep_name,
'url': ep_url,
'resolved_url': ''
}
if RESOLVE_FINAL_URLS:
play_res = self.bridge.call('playerContent', source_name, ep_url, [])
if play_res and 'url' in play_res:
episode['resolved_url'] = play_res['url']
self.stats.inc('episodes_resolved')
else:
pass
all_episodes.append(episode)
if all_episodes:
self.db.save_episodes(vod_pk, all_episodes)
if __name__ == "__main__":
parser = argparse.ArgumentParser(description="DrPy PHP Spider Concurrent Crawler")
parser.add_argument("spider", nargs="?", default=DEFAULT_SPIDER, help="PHP spider file path")
parser.add_argument("-p", "--max-pages", type=int, default=DEFAULT_MAX_PAGES, help="Max pages per category")
parser.add_argument("-t", "--threads", type=int, default=DEFAULT_THREADS, help="Concurrency threshold (max workers)")
parser.add_argument("-n", "--no-resolve", action="store_true", help="Skip resolving final playback URLs")
args = parser.parse_args()
if args.no_resolve:
RESOLVE_FINAL_URLS = False
spider_file = args.spider
if not os.path.exists(spider_file):
print(f"Error: File not found: {spider_file}")
sys.exit(1)
# 根据爬虫文件名生成数据库文件名 (例如: spider.php -> spider.db)
# 确保数据库文件生成在爬虫文件同级目录
spider_dir = os.path.dirname(os.path.abspath(spider_file))
base_name = os.path.splitext(os.path.basename(spider_file))[0]
db_path = os.path.join(spider_dir, f"{base_name}.db")
print(f"📁 数据库路径: {db_path}")
crawler = Crawler(spider_file, db_path, args.max_pages, args.threads)
crawler.run()