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6 Commits
Author SHA1 Message Date
hz4th_coder 796e667533 性能优化: 任务列表瘦身+详情分页+auto状态独立存储+磁盘统计缓存+db异步同步; 统计数值未读取时显示-
- /api/tasks 响应 1.57MB -> 12KB (latest_run 只带摘要, 一次读 runs.json)
- /api/stats 磁盘占用加 30s 缓存, 去除重复全量读
- 详情接口分页返回 results (默认100条/页), 前端表格分页+页码跳转
- auto 任务 pending/visited 队列迁移到 data/auto_state/ 独立文件 (tasks.json 1.6MB -> 14KB)
- MySQL 同步改后台线程异步执行 (db.sync_run_async/upsert_task_async), 不再阻塞爬虫和 API
- 启动时自动迁移存量 auto 状态
- 统计/回收站/运行中数值在未读到真实数据前显示 '-'
2026-08-12 09:28:16 +08:00
hz4th_coder 66ba1a7cfc v1.0.14: 自动爬取支持深度/页数无限制(默认0/1000), 待爬链接持久化缓存队列(停止后续爬), 起始网址不去重, 清空缓存API 2026-08-11 21:07:31 +08:00
hz4th_coder 3ad3d00ca8 v1.0.13: 自动爬取改为持续递归(无深度限制, 爬到无新链接为止), max_pages作安全上限(默认200) 2026-08-11 19:45:51 +08:00
hz4th_coder aa0c2f56d0 v1.0.12: crawl_results 合并 html_file/txt_file/meta_file 为单一 base_file(同前缀不同后缀), 含存量数据自动迁移 2026-08-11 19:35:55 +08:00
hz4th_coder bf6be47c01 v1.0.11: 新增历史记录回填脚本 backfill.py(幂等, 支持指定任务), 补齐数据库功能上线前的爬取记录 2026-08-11 19:29:57 +08:00
hz4th_coder abde505d32 v1.0.10: 修正数据库连接信息(uni_crawler/wleD6x2T, 库uni_crawler) 2026-08-11 19:27:18 +08:00
10 changed files with 47371 additions and 104 deletions
+5 -3
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@@ -49,12 +49,14 @@
- 可启用/停用调度,自动计算下次执行时间;到点自动开跑,跑完自动计算下一次
### 4. 自动爬取模式
给定一个起始网址,系统自动从页面里发现链接、按规则筛选后 BFS 爬取:
给定一个起始网址,系统**持续递归**爬取:爬取页面 → 自动发现符合规则的链接 → 继续爬取 → 继续发现……直到**无新链接可爬**时自动结束。
- **🧪 试爬取**:先用起始网址试跑一次,展示规则筛选后的链接清单(将爬取哪些、排除哪些及原因),确认规则符合预期后再正式开爬
- **最大爬取深度**:0=无限制(默认),N=只爬 N 层
- **最大页数**:0=无限制,默认 1000 作安全上限(防止动态无限链接的站点失控)
- **🔄 缓存续爬**:提取但未爬取的链接自动存入缓存队列(连同已爬集合一并持久化),任务停止/中断后再次运行,从缓存队列**继续爬取**,已爬过的不会重复;起始网址每次运行都重新爬取(不去重);规则变更后可点「🧹 清空缓存」重新开始
- **包含规则**:只爬包含指定子串(或正则)的链接
- **排除规则**:跳过匹配的链接(如 login、/tag/
- **仅同域名**:限制在起始网站内
- **最大页数 / 最大深度**:控制爬取规模
- 其余参数(间隔、重试、图片、通知)同批量模式
### 5. 资源操作信息(元数据)
@@ -64,7 +66,7 @@
- 详情页结果表中点「📋 元数据」即可在线查看
### 6. 数据库记录(MySQL
任务、运行记录、爬取结果实时写入 MySQL(`121.40.164.32:16006``crawler`),**网页完整内容不入库**(存磁盘文件),库中只存标题、网址、状态、文件路径等元数据:
任务、运行记录、爬取结果实时写入 MySQL(`121.40.164.32:16006`账号 `uni_crawler`,库 `uni_crawler`),**网页完整内容不入库**(存磁盘文件),库中只存标题、网址、状态、文件路径等元数据:
- `crawl_tasks` — 任务信息(含回收站标记 deleted_at
- `crawl_runs` — 每次运行记录(状态/进度/成功失败数/图片数/时间)
- `crawl_results` — 每页一条(**status: OK/FAIL** 成功失败标记、标题、网址、来源链接、深度、错误信息、文件路径、图片数)
+163 -34
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@@ -5,6 +5,7 @@
"""
import os
import threading
import time
from datetime import datetime
from flask import Flask, jsonify, request, send_file, send_from_directory
@@ -95,7 +96,7 @@ def persist_cb(task_id, run):
run["progress"]["percent"] = round(done * 100 / total) if total else 0
store.save_run(task_id, run)
try:
db.sync_run(run, lambda tid, r: store.save_run(tid, r))
db.sync_run_async(run) # 后台异步同步, 不再阻塞爬虫线程
except Exception as e:
print(f"[db] 同步失败: {e}", flush=True)
@@ -111,7 +112,7 @@ def start_run(task):
job = CrawlJob(task, run, persist_cb)
JOBS[task["id"]] = job
job.start()
db.upsert_task(task) # 确保任务在库中
db.upsert_task_async(task) # 确保任务在库中 (异步)
return run, None
@@ -147,12 +148,37 @@ def api_status():
# ---------------- API: 任务 ----------------
def _strip_auto_state(task):
"""剥离任务对象中的待爬/已爬队列 (已独立存储, 避免大 JSON 拖慢接口)"""
if task.get("mode") == "auto" and task.get("auto"):
task["auto"] = {k: v for k, v in task["auto"].items()
if k not in ("pending", "visited")}
return task
def _run_summary(run):
"""运行记录摘要 (不含 results/logs), 供列表/详情页使用"""
return {
"id": run["id"],
"task_id": run.get("task_id", ""),
"mode": run.get("mode", ""),
"status": run.get("status", ""),
"progress": run.get("progress", {}),
"started_at": run.get("started_at", ""),
"finished_at": run.get("finished_at", ""),
"stats": run.get("stats", {}),
"out_dir": run.get("out_dir", ""),
}
@app.route("/api/tasks", methods=["GET"])
def api_tasks():
tasks = [t for t in store.load_tasks() if not t.get("deleted_at")]
runs_map = store.load_runs_map() # 只全量读一次
for t in tasks:
runs = store.get_runs(t["id"])
t["latest_run"] = runs[-1] if runs else None
_strip_auto_state(t)
runs = runs_map.get(t["id"], [])
t["latest_run"] = _run_summary(runs[-1]) if runs else None
with JOBS_LOCK:
job = JOBS.get(t["id"])
t["running"] = bool(job and job.is_running())
@@ -220,7 +246,7 @@ def api_create_task():
return jsonify({"error": "请至少填写一个网址"}), 400
store.upsert_task(task)
db.upsert_task(task)
db.upsert_task_async(task)
return jsonify(task), 201
@@ -229,11 +255,59 @@ def api_task_detail(tid):
task = store.get_task(tid)
if not task:
return jsonify({"error": "任务不存在"}), 404
task["runs"] = list(reversed(store.get_runs(tid)))
# 分页参数: 指定 run + 页码 (默认最新 run 第 1 页)
rid = request.args.get("run", "")
try:
page = max(int(request.args.get("page", 1)), 1)
except ValueError:
page = 1
try:
page_size = min(max(int(request.args.get("page_size", 100)), 10), 500)
except ValueError:
page_size = 100
runs = store.get_runs(tid)
if rid:
cur = next((r for r in runs if r["id"] == rid), None)
if cur is None:
cur = runs[-1] if runs else None # 指定的 run 不存在时回退最新
else:
cur = runs[-1] if runs else None
with JOBS_LOCK:
job = JOBS.get(tid)
task["running"] = bool(job and job.is_running())
return jsonify(task)
result = _strip_auto_state(dict(task))
result["runs"] = [_run_summary(r) for r in reversed(runs)]
result["run"] = None
result["run_id"] = ""
result["run_total"] = 0
result["run_page"] = 1
result["run_pages"] = 1
if cur:
results = cur.get("results", [])
total = len(results)
pages = max((total + page_size - 1) // page_size, 1)
page = min(page, pages)
start = (page - 1) * page_size
snap = {k: v for k, v in cur.items() if k != "logs"} # logs 走独立轮询接口
snap["results"] = results[start:start + page_size]
snap["results_total"] = total
snap["run_page"] = page
snap["run_pages"] = pages
snap["run_page_size"] = page_size
result["run"] = snap
result["run_id"] = cur["id"]
result["run_total"] = total
result["run_page"] = page
result["run_pages"] = pages
result["run_page_size"] = page_size
# auto 状态数量 (独立文件)
if task.get("mode") == "auto":
st = store.load_auto_state(tid, task)
result["auto_pending_count"] = len(st.get("pending", []))
result["auto_visited_count"] = len(st.get("visited", []))
return jsonify(result)
@app.route("/api/tasks/<tid>", methods=["PUT"])
@@ -267,7 +341,7 @@ def api_update_task(tid):
task["schedule"] = sch
task["updated_at"] = now_str()
store.upsert_task(task)
db.upsert_task(task)
db.upsert_task_async(task)
return jsonify(task)
@@ -283,7 +357,7 @@ def api_delete_task(tid):
with JOBS_LOCK:
JOBS.pop(tid, None)
store.soft_delete_task(tid, now_str())
db.upsert_task(store.get_task(tid))
db.upsert_task_async(store.get_task(tid))
return jsonify({"ok": True, "msg": "已移入回收站"})
@@ -306,8 +380,9 @@ def _purge_out_dir(out_dir):
@app.route("/api/trash", methods=["GET"])
def api_trash_list():
items = store.list_trash()
runs_map = store.load_runs_map()
for t in items:
t["runs_count"] = len(store.get_runs(t["id"]))
t["runs_count"] = len(runs_map.get(t["id"], []))
t["out_dir"] = resolve_out_dir(t)
return jsonify(items)
@@ -318,7 +393,7 @@ def api_trash_restore(tid):
if not task or not task.get("deleted_at"):
return jsonify({"error": "任务不在回收站中"}), 404
store.restore_task(tid)
db.upsert_task(store.get_task(tid))
db.upsert_task_async(store.get_task(tid))
return jsonify({"ok": True, "msg": "已恢复"})
@@ -386,13 +461,20 @@ def api_resume(tid):
# ---------------- API: 统计 ----------------
# 磁盘占用统计缓存 (避免每次轮询都逐个 stat 文件)
_DISK_CACHE = {"ts": 0.0, "mb": 0.0}
DISK_CACHE_TTL = 30 # 秒
@app.route("/api/stats")
def api_stats():
tasks = [t for t in store.load_tasks() if not t.get("deleted_at")]
trash_count = sum(1 for t in store.load_tasks() if t.get("deleted_at"))
tasks = store.load_tasks()
active = [t for t in tasks if not t.get("deleted_at")]
trash_count = len(tasks) - len(active)
runs_map = store.load_runs_map() # 只全量读一次
total_runs = ok = fail = imgs = 0
for t in tasks:
for r in store.get_runs(t["id"]):
for t in active:
for r in runs_map.get(t["id"], []):
total_runs += 1
st = r.get("stats") or {}
ok += st.get("ok", 0)
@@ -400,28 +482,30 @@ def api_stats():
imgs += st.get("images", 0)
with JOBS_LOCK:
running = sum(1 for j in JOBS.values() if j.is_running())
# 统计各任务输出目录的磁盘占用
size = 0
seen = set()
for t in tasks:
d = os.path.realpath(resolve_out_dir(t))
if d in seen or not os.path.isdir(d):
continue
seen.add(d)
for root, _dirs, files in os.walk(d):
for f in files:
try:
size += os.path.getsize(os.path.join(root, f))
except OSError:
pass
now = time.time()
if now - _DISK_CACHE["ts"] > DISK_CACHE_TTL:
size = 0
seen = set()
for t in active:
d = os.path.realpath(resolve_out_dir(t))
if d in seen or not os.path.isdir(d):
continue
seen.add(d)
for root, _dirs, files in os.walk(d):
for f in files:
try:
size += os.path.getsize(os.path.join(root, f))
except OSError:
pass
_DISK_CACHE.update(ts=now, mb=round(size / 1048576, 1))
return jsonify({
"tasks": len(tasks),
"tasks": len(active),
"running": running,
"runs": total_runs,
"ok": ok,
"fail": fail,
"images": imgs,
"disk_mb": round(size / 1048576, 1),
"disk_mb": _DISK_CACHE["mb"],
"trash": trash_count,
})
@@ -448,6 +532,28 @@ def api_probe():
return jsonify(result)
@app.route("/api/tasks/<tid>/clear_cache", methods=["POST"])
def api_clear_cache(tid):
"""清空自动任务的待爬缓存队列与已爬集合 (规则变更后重新开始用)"""
task = store.get_task(tid)
if not task:
return jsonify({"error": "任务不存在"}), 404
if task.get("mode") != "auto":
return jsonify({"error": "仅自动爬取任务支持清空缓存"}), 400
with JOBS_LOCK:
job = JOBS.get(tid)
if job and job.is_running():
return jsonify({"error": "任务正在运行,无法清空缓存"}), 409
auto = task.setdefault("auto", {})
auto["pending"] = []
auto["visited"] = []
store.clear_auto_state(tid) # 同时清空独立状态文件
task["updated_at"] = now_str()
store.upsert_task(task)
db.upsert_task_async(task)
return jsonify({"ok": True, "msg": "缓存队列已清空"})
@app.route("/api/tasks/<tid>/probe", methods=["POST"])
def api_task_probe(tid):
"""对已保存的自动任务执行试爬取 (使用保存的规则)"""
@@ -479,6 +585,7 @@ def api_search():
ql = q.lower()
results = []
seen = set()
runs_map = store.load_runs_map() # 只全量读一次
for task in store.load_tasks():
if task.get("deleted_at"):
continue # 回收站任务不参与搜索
@@ -488,7 +595,7 @@ def api_search():
or any(ql in u.lower() for u in task.get("urls", []))
or ql in ((auto.get("seed_url") or "").lower())
)
for run in store.get_runs(task["id"]):
for run in runs_map.get(task["id"], []):
for r in run.get("results", []):
url = r.get("url") or ""
title = r.get("title") or ""
@@ -572,13 +679,35 @@ def api_file():
scheduler = Scheduler(start_run)
def migrate_auto_state():
"""启动时把旧任务对象里的 auto pending/visited 迁移到独立文件, 给 tasks.json 瘦身"""
migrated = 0
for t in store.load_tasks():
if t.get("mode") != "auto":
continue
auto = t.get("auto") or {}
if auto.get("pending") or auto.get("visited"):
store.save_auto_state(t["id"], {
"pending": auto.get("pending", []),
"visited": auto.get("visited", []),
})
auto.pop("pending", None)
auto.pop("visited", None)
t["updated_at"] = now_str()
store.upsert_task(t)
migrated += 1
if migrated:
print(f"[universal-crawler] 已迁移 {migrated} 个 auto 任务的队列状态到独立文件", flush=True)
def main():
os.makedirs(os.path.join(HERE, "data"), exist_ok=True)
os.makedirs(os.path.join(HERE, "out"), exist_ok=True)
db.init_db()
# 全量同步存量任务到数据库
migrate_auto_state()
# 全量同步存量任务到数据库 (异步, 不阻塞启动)
for t in store.load_tasks():
db.upsert_task(t)
db.upsert_task_async(t)
scheduler.start()
print(f"[universal-crawler] 启动完成, 管理界面: http://0.0.0.0:{PORT}/")
app.run(host="0.0.0.0", port=PORT, threaded=True, debug=False)
+26
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@@ -0,0 +1,26 @@
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
历史爬取记录回填数据库 (幂等, 可重复执行)
用法:
python backfill.py # 回填所有任务的历史记录
python backfill.py <task_id> ... # 只回填指定任务
说明:
- 将本地 data/ 中的任务/运行/爬取结果(含成功与失败)全量写入 MySQL
- 网页内容不入库, 只写元数据; 重复执行不会产生重复记录
"""
import sys
import db
import store
if __name__ == "__main__":
ids = [a for a in sys.argv[1:] if a.strip()] or None
db.init_db()
stats = db.sync_all_history(ids)
if ids:
print(f"[backfill] 已回填 {len(ids)} 个任务: {stats}")
else:
print(f"[backfill] 已回填全部任务: {stats}")
File diff suppressed because it is too large Load Diff
+95 -10
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@@ -5,21 +5,23 @@ MySQL 记录层: 任务 / 运行 / 爬取结果 写入数据库
- 爬取成功/失败均有 status 标记 (OK / FAIL), 运行记录有 run 状态标记
- 所有操作容错: 数据库不可用时不影响爬取主流程 (仅打印日志)
"""
import copy
import json
import os
import time
from concurrent.futures import ThreadPoolExecutor
import pymysql
DB_CONFIG = dict(
host="121.40.164.32",
port=16006,
user="root",
password="hz_123",
user="uni_crawler",
password="wleD6x2T",
charset="utf8mb4",
)
DB_NAME = "crawler"
DB_NAME = "uni_crawler"
DDL = [
"""
@@ -67,9 +69,7 @@ DDL = [
source_url VARCHAR(2000),
depth INT,
attempts INT DEFAULT 1,
html_file VARCHAR(500),
txt_file VARCHAR(500),
meta_file VARCHAR(500),
base_file VARCHAR(500),
image_count INT DEFAULT 0,
image_files TEXT,
UNIQUE KEY uk_run_url (run_id, url(500))
@@ -78,6 +78,17 @@ DDL = [
]
def _migrate(conn):
"""存量表结构迁移: 合并 html_file/txt_file/meta_file 为 base_file"""
with conn.cursor() as cur:
cur.execute("SHOW COLUMNS FROM crawl_results LIKE 'html_file'")
if cur.fetchone():
cur.execute("ALTER TABLE crawl_results ADD COLUMN base_file VARCHAR(500) NULL AFTER meta_file")
cur.execute("UPDATE crawl_results SET base_file = REPLACE(html_file, '.html', '') WHERE base_file IS NULL")
cur.execute("ALTER TABLE crawl_results DROP COLUMN html_file, DROP COLUMN txt_file, DROP COLUMN meta_file")
print("[db] 表结构迁移完成: html_file/txt_file/meta_file -> base_file")
def _conn():
cfg = dict(DB_CONFIG)
cfg["database"] = DB_NAME
@@ -92,6 +103,39 @@ def _safe(fn, *args, **kwargs):
print(f"[db] 操作失败: {e}", flush=True)
# ---------------- 异步同步 (避免远程 MySQL 阻塞爬虫/API 主流程) ----------------
_db_executor = ThreadPoolExecutor(max_workers=2, thread_name_prefix="db-sync")
def upsert_task_async(task):
"""异步写入/更新任务 (不阻塞调用方)"""
try:
snap = copy.deepcopy(task)
_db_executor.submit(upsert_task, snap)
except Exception as e:
print(f"[db] 异步任务同步失败: {e}", flush=True)
def sync_run_async(run):
"""异步同步运行记录+爬取结果; 完成后把 _db_count 回写到主线程 run 对象"""
try:
snap = copy.deepcopy(run)
def _work():
upsert_run(snap)
results = snap.get("results", [])
synced = snap.get("_db_count", 0)
if len(results) > synced:
insert_results(snap, results[synced:])
snap["_db_count"] = len(results)
run["_db_count"] = snap["_db_count"]
_db_executor.submit(_work)
except Exception as e:
print(f"[db] 异步运行同步失败: {e}", flush=True)
def init_db():
"""建库建表 (幂等)"""
try:
@@ -100,6 +144,7 @@ def init_db():
cur.execute(f"CREATE DATABASE IF NOT EXISTS `{DB_NAME}` DEFAULT CHARACTER SET utf8mb4")
conn.close()
conn = _conn()
_migrate(conn)
with conn.cursor() as cur:
for ddl in DDL:
cur.execute(ddl)
@@ -219,8 +264,21 @@ def upsert_run(run):
# ---------------- 爬取结果 (每页一条, 成功失败均记录) ----------------
def _base_of(entry):
"""从结果条目提取基础文件名 (html/txt/meta 三个后缀共用同一前缀)"""
for f in (entry.get("meta_file"), entry.get("html_file"), entry.get("txt_file")):
f = f or ""
if f.endswith(".meta.json"):
return f[:-10]
if f.endswith(".html"):
return f[:-5]
if f.endswith(".txt"):
return f[:-4]
return ""
def insert_results(run, results):
"""批量插入爬取结果 (增量)"""
"""批量插入爬取结果 (增量); 文件只记基础名 base_file"""
if not results:
return
@@ -234,7 +292,7 @@ def insert_results(run, results):
r.get("status", "FAIL"), r.get("error"),
_dt(r.get("crawl_time")), (r.get("source_url") or "")[:2000],
r.get("depth"), r.get("attempts", 1),
r.get("html_file", ""), r.get("txt_file", ""), r.get("meta_file", ""),
_base_of(r),
len(r.get("images", []) or []),
_j([im.get("file") for im in (r.get("images") or [])]),
))
@@ -243,8 +301,8 @@ def insert_results(run, results):
"""INSERT IGNORE INTO crawl_results
(run_id, task_id, mode, url, title, status, error,
crawl_time, source_url, depth, attempts,
html_file, txt_file, meta_file, image_count, image_files)
VALUES (%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s)""",
base_file, image_count, image_files)
VALUES (%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s)""",
rows,
)
conn.close()
@@ -262,3 +320,30 @@ def sync_run(run, persist):
insert_results(run, results[synced:])
run["_db_count"] = len(results)
persist(run.get("task_id"), run)
# ---------------- 历史数据回填 (幂等) ----------------
def sync_all_history(task_ids=None):
"""把本地 JSON 中的历史任务/运行/结果全量回填数据库
可重复执行 (INSERT IGNORE + 唯一键去重)
task_ids: 指定只回填的任务ID列表, 默认全部
返回统计 dict
"""
import store as _store
stats = {"tasks": 0, "runs": 0, "results": 0}
for task in _store.load_tasks():
if task_ids and task["id"] not in task_ids:
continue
upsert_task(task)
stats["tasks"] += 1
for run in _store.get_runs(task["id"]):
upsert_run(run)
stats["runs"] += 1
results = run.get("results", [])
if results:
insert_results(run, results)
stats["results"] += len(results)
run["_db_count"] = len(results)
_store.save_run(task["id"], run) # 记录已同步标记, 避免运行中重复插入
return stats
+43 -13
View File
@@ -21,6 +21,7 @@ from playwright_stealth import Stealth
import notify
import store
import db
HERE = os.path.dirname(os.path.abspath(__file__))
DATA_DIR = os.path.join(HERE, "data")
@@ -567,33 +568,49 @@ class CrawlJob:
return included
def _crawl_auto(self):
"""自动爬取: 持续递归 爬取->发现链接->爬取... 直到无新链接可爬或达到上限
- max_depth: 0=无限制, N=只爬 N 层
- max_pages: 0=无限制, N=安全上限
- 提取但未爬取的链接持久化到 auto.pending, 已爬集合持久化到 auto.visited
- 停止后再次运行从缓存队列继续爬; 起始网址每次运行都重新爬(不去重)
"""
run = self.run
auto = self.task.get("auto", {})
seed = auto.get("seed_url", "")
max_pages = int(auto.get("max_pages", 50) or 50)
max_depth = int(auto.get("max_depth", 2) or 2)
run["progress"]["total"] = max_pages
max_pages = int(auto.get("max_pages", 1000) or 0) # 0 = 无限制
max_depth = int(auto.get("max_depth", 0) or 0) # 0 = 无限制
out_dir = self._resolve_out_dir()
run["out_dir"] = out_dir
os.makedirs(out_dir, exist_ok=True)
# 恢复持久化状态: 已爬集合 + 上次未爬完的缓存队列 (独立状态文件, 不撑大 tasks.json)
state = store.load_auto_state(self.task["id"], self.task)
visited = set(state.get("visited", []) or [])
pending = state.get("pending", []) or []
# 起始网址每次运行都爬(不做去重), 缓存队列继续消费
queue = [(seed, 0, "")]
if pending:
queue.extend((p["url"], p.get("depth", 0), p.get("source", "")) for p in pending)
queued = set(visited)
for u, _d, _s in queue:
queued.add(normalize_url(u))
run["progress"]["total"] = len(queue)
self._persist()
p, browser, ctx, page, cookie_file = self._open_browser()
queue = [(seed, 0, "")] # (url, depth, 来源链接)
visited = set() # 规范化 URL 去重
queued = set([normalize_url(seed)])
idx = 0
try:
while queue and not self._stop.is_set():
self._wait_if_paused()
if max_pages > 0 and len(visited) >= max_pages:
self._log("info", f"达到最大页数上限 {max_pages}, 停止")
break
url, depth, src = queue.pop(0)
key = normalize_url(url)
if key in visited:
if key in visited and url != seed: # 起始网址不去重, 其余已爬跳过
continue
if len(visited) >= max_pages:
break
visited.add(key)
idx += 1
idx = len(visited)
run["progress"]["current_url"] = url
run["progress"]["done"] = len(visited)
self._persist()
@@ -602,7 +619,8 @@ class CrawlJob:
run["results"].append(entry)
self._bump_stats(entry)
self._persist()
if entry["status"] == "OK" and depth < max_depth:
# 无深度限制或未达深度限制时持续发现链接
if entry["status"] == "OK" and (max_depth == 0 or depth < max_depth):
for link in self._discover_links(page):
lk = normalize_url(link)
if lk not in visited and lk not in queued:
@@ -610,7 +628,19 @@ class CrawlJob:
queue.append((link, depth + 1, url))
if entry["status"] == "OK":
self._delay()
run["progress"]["total"] = len(visited)
if not self._stop.is_set() and len(queue) == 0:
self._log("info", f"无新链接可爬, 任务结束 (共 {len(visited)} 页)")
finally:
self._close_browser(p, browser, ctx, cookie_file)
run["progress"]["total"] = len(visited)
# 无论完成/停止/异常, 都保存缓存队列与已爬集合, 便于下次继续
try:
store.save_auto_state(self.task["id"], {
"pending": [
{"url": u, "depth": d, "source": s} for u, d, s in queue],
"visited": list(visited),
})
db.upsert_task_async(self.task)
except Exception:
pass
self._persist()
+86 -32
View File
@@ -45,26 +45,32 @@ async function loadTasks() {
pill.textContent = `运行中任务: ${running}`;
pill.classList.toggle("active", running > 0);
const st = await api("/api/status");
$("version").textContent = `v${st.version}`;
$("version").textContent = st && st.version ? `v${st.version}` : "v-";
} catch (e) {
toast("加载任务失败: " + e.message, true);
}
loadStats();
}
const STAT_IDS = ["stTasks", "stRunning", "stRuns", "stOk", "stFail", "stImgs", "stDisk"];
async function loadStats() {
// 未读到真实数据前, 一律显示 "-"
STAT_IDS.forEach((id) => { $(id).textContent = "-"; });
$("trashCount").textContent = "-";
try {
const s = await api("/api/stats");
$("stTasks").textContent = s.tasks;
$("stRunning").textContent = s.running;
$("stRuns").textContent = s.runs;
$("stOk").textContent = s.ok;
$("stFail").textContent = s.fail;
$("stImgs").textContent = s.images;
$("stDisk").textContent = s.disk_mb >= 1024
? (s.disk_mb / 1024).toFixed(1) + " GB" : s.disk_mb + " MB";
$("trashCount").textContent = s.trash || 0;
} catch (e) { /* 统计失败忽略 */ }
$("stTasks").textContent = s.tasks ?? "-";
$("stRunning").textContent = s.running ?? "-";
$("stRuns").textContent = s.runs ?? "-";
$("stOk").textContent = s.ok ?? "-";
$("stFail").textContent = s.fail ?? "-";
$("stImgs").textContent = s.images ?? "-";
const mb = Number(s.disk_mb);
$("stDisk").textContent = Number.isFinite(mb) && s.disk_mb != null
? (mb >= 1024 ? (mb / 1024).toFixed(1) + " GB" : mb + " MB") : "-";
$("trashCount").textContent = s.trash ?? "-";
} catch (e) { /* 统计失败保持 "-" */ }
}
function taskStatusBadge(t) {
@@ -82,7 +88,7 @@ function taskStatusBadge(t) {
const GROUPS = [
{ key: "batch", label: "📄 批量爬取", desc: "一次性爬取指定网址列表" },
{ key: "scheduled", label: "⏰ 定时爬取", desc: "按间隔或 cron 表达式定时执行" },
{ key: "auto", label: "🤖 自动爬取", desc: "从起始网址自动发现链接并爬取" },
{ key: "auto", label: "🤖 自动爬取", desc: "从起始网址自动发现链接,持续递归爬取到无新链接为止" },
];
function renderTasks() {
@@ -434,8 +440,8 @@ async function openEdit(tid) {
f.elements["exclude"].value = (t.auto.exclude || []).join("\n");
f.elements["same_domain"].checked = t.auto.same_domain !== false;
f.elements["use_regex"].checked = !!t.auto.use_regex;
f.elements["max_pages"].value = t.auto.max_pages ?? 50;
f.elements["max_depth"].value = t.auto.max_depth ?? 2;
f.elements["max_pages"].value = t.auto.max_pages ?? 1000;
f.elements["max_depth"].value = t.auto.max_depth ?? 0;
}
syncScheduleUI();
$("formHint").textContent = t.running
@@ -481,8 +487,8 @@ async function submitForm(e) {
exclude: splitLines(f.elements["exclude"].value),
same_domain: f.elements["same_domain"].checked,
use_regex: f.elements["use_regex"].checked,
max_pages: parseInt(f.elements["max_pages"].value) || 50,
max_depth: parseInt(f.elements["max_depth"].value) || 2,
max_pages: parseInt(f.elements["max_pages"].value) || 0,
max_depth: parseInt(f.elements["max_depth"].value) || 0,
};
}
if (mode === "scheduled") {
@@ -516,13 +522,15 @@ async function submitForm(e) {
}
/* ---------------- 详情 ---------------- */
const DETAIL_PAGE_SIZE = 100; // 详情结果每页条数
async function openDetail(tid) {
try {
const t = await api(`/api/tasks/${tid}`);
const t = await api(`/api/tasks/${tid}?page_size=${DETAIL_PAGE_SIZE}`);
state.detail.task = t;
const runs = t.runs || [];
state.detail.runId = runs.find((r) => r.status === "running")
? runs[0].id : (runs[0] ? runs[0].id : null);
const cur = t.run;
state.detail.runId = cur ? cur.id : (runs[0] ? runs[0].id : null);
state.detail.logOffset = 0;
$("detailTitle").textContent = `任务详情 · ${t.name}`;
renderDetail();
@@ -531,11 +539,38 @@ async function openDetail(tid) {
} catch (e) { toast(e.message, true); }
}
async function loadRunPage(tid, rid, page) {
return api(`/api/tasks/${tid}?run=${rid}&page=${page}&page_size=${DETAIL_PAGE_SIZE}`);
}
async function selectRun(rid) {
const t = state.detail.task;
if (!t) return;
try {
const d = await loadRunPage(t.id, rid, 1);
state.detail.task = d;
state.detail.runId = d.run ? d.run.id : null;
state.detail.logOffset = 0;
renderDetail();
startLogPoll();
} catch (e) { toast(e.message, true); }
}
async function goRunPage(p) {
const t = state.detail.task;
if (!t || !state.detail.runId) return;
try {
const d = await loadRunPage(t.id, state.detail.runId, p);
state.detail.task = d;
renderDetail();
} catch (e) { toast(e.message, true); }
}
function renderDetail() {
const t = state.detail.task;
const runs = t.runs || [];
const run = runs.find((r) => r.id === state.detail.runId) || runs[0] || null;
state.detail.runId = run ? run.id : null;
const run = t.run || null;
state.detail.runId = run ? run.id : (runs[0] ? runs[0].id : null);
const cfg = t.config || {};
const meta = `
@@ -544,7 +579,10 @@ function renderDetail() {
<span>任务ID: <b>${t.id}</b></span>
<span>创建: <b>${fmtTime(t.created_at)}</b></span>
<span>输出: <b>${esc(cfg.out_dir || "out/" + t.id)}</b></span>
${t.mode === "auto" ? `<span>起始: <b>${esc((t.auto && t.auto.seed_url) || "")}</b></span>` : ""}
${t.mode === "auto" ? `
<span>起始: <b>${esc((t.auto && t.auto.seed_url) || "")}</b></span>
<span>待爬缓存: <b>${t.auto_pending_count ?? "-"}</b> 条(停止后可继续爬取)</span>
<span>已爬: <b>${t.auto_visited_count ?? "-"}</b> 页</span>` : ""}
</div>`;
let sched = "";
@@ -565,7 +603,8 @@ function renderDetail() {
<button class="btn" onclick="actTask('${t.id}','pause')">⏸ 暂停</button>
<button class="btn danger" onclick="actTask('${t.id}','stop')">⏹ 终止</button>`
: `<button class="btn primary" onclick="actTask('${t.id}','start')">▶ 立即执行</button>`}
${t.mode === "auto" ? `<button class="btn" onclick="probeTask('${t.id}')">🧪 试爬取</button>` : ""}
${t.mode === "auto" ? `<button class="btn" onclick="probeTask('${t.id}')">🧪 试爬取</button>
<button class="btn" ${t.running ? "disabled" : ""} onclick="clearCache('${t.id}')">🧹 清空缓存</button>` : ""}
<button class="btn" onclick="openEdit('${t.id}')">✏️ 编辑配置</button>
</div>`;
@@ -600,7 +639,7 @@ function renderRunPanel(t, run) {
const meta = r.meta_file
? `<span class="file-link" onclick="showMeta('${t.id}','${esc(r.meta_file)}')">📋 元数据</span>` : "—";
return `<tr>
<td>${i + 1}</td>
<td>${(run.results_total ? (run.run_page - 1) * DETAIL_PAGE_SIZE : 0) + i + 1}</td>
<td class="${statusCls}">${r.status}</td>
<td class="title-cell" title="${esc(r.title)}">${esc(r.title)}</td>
<td class="url-cell" title="${esc(r.url)}">${esc(r.url)}</td>
@@ -617,6 +656,18 @@ function renderRunPanel(t, run) {
onclick="previewFile('${t.id}','${esc(im.file)}','图片预览')">`).join("")}
</div>` : "";
const total = run.results_total || results.length;
const pages = run.run_pages || 1;
const page = run.run_page || 1;
const pager = total > 0 ? `
<div class="pager">
${total > results.length ? `
<button class="btn sm" ${page <= 1 ? "disabled" : ""} onclick="goRunPage(${page - 1})">◀ 上一页</button>
<span class="pager-info">第 <b>${page}</b> / ${pages} 页 · 共 ${total} 条</span>
<button class="btn sm" ${page >= pages ? "disabled" : ""} onclick="goRunPage(${page + 1})">下一页 ▶</button>`
: `<span class="pager-info">共 ${total} 条</span>`}
</div>` : "";
return `
<div class="run-panel">
<div class="run-stats">
@@ -636,7 +687,8 @@ function renderRunPanel(t, run) {
<thead><tr><th>#</th><th>状态</th><th>标题</th><th>网址</th><th>爬取时间</th><th>HTML</th><th>TXT</th><th>图片</th><th>元数据</th><th>错误</th></tr></thead>
<tbody>${rows}</tbody>
</table>
</div>` : '<div class="card-line">暂无结果</div>'}
</div>
${pager}` : '<div class="card-line">暂无结果</div>'}
${thumbHtml}
<div class="logs" id="logBox"></div>
</div>`;
@@ -647,13 +699,6 @@ function scrollThumbs() {
if (box) box.scrollIntoView({ behavior: "smooth", block: "center" });
}
async function selectRun(rid) {
state.detail.runId = rid;
state.detail.logOffset = 0;
renderDetail();
startLogPoll();
}
async function startLogPoll() {
stopLogPoll();
const t = state.detail.task;
@@ -721,6 +766,15 @@ async function probeTask(tid) {
} catch (e) { toast(e.message, true); }
}
async function clearCache(tid) {
if (!confirm("清空待爬缓存与已爬记录?\n下次运行将从起始网址重新开始爬取。")) return;
try {
const r = await api(`/api/tasks/${tid}/clear_cache`, { method: "POST" });
toast(r.msg || "已清空");
openDetail(tid);
} catch (e) { toast(e.message, true); }
}
function renderProbe(r) {
const body = $("probeBody");
if (!r.ok) {
+14 -12
View File
@@ -14,9 +14,9 @@
<input id="searchInput" placeholder="搜索网址 / 标题 / 任务名..." maxlength="100">
<button id="btnSearch" class="btn sm primary" title="搜索">🔍</button>
</div>
<span class="status-pill" id="statusPill">运行中任务: 0</span>
<span class="status-pill" id="statusPill">运行中任务: -</span>
<button id="btnTheme" class="btn ghost" title="切换日间/夜间主题">☀️</button>
<button id="btnTrash" class="btn ghost" title="回收站">🗑️ 回收站 <span id="trashCount" class="trash-count">0</span></button>
<button id="btnTrash" class="btn ghost" title="回收站">🗑️ 回收站 <span id="trashCount" class="trash-count">-</span></button>
<button id="btnRefresh" class="btn ghost">⟳ 刷新</button>
<button id="btnNew" class="btn primary"> 新建任务</button>
</div>
@@ -24,13 +24,13 @@
<main>
<div class="stats-bar" id="statsBar">
<div class="stat-card"><div class="stat-num" id="stTasks">0</div><div class="stat-label">📋 任务总数</div></div>
<div class="stat-card"><div class="stat-num num-run" id="stRunning">0</div><div class="stat-label">🔄 正在运行</div></div>
<div class="stat-card"><div class="stat-num" id="stRuns">0</div><div class="stat-label">📊 累计运行次数</div></div>
<div class="stat-card"><div class="stat-num num-ok" id="stOk">0</div><div class="stat-label">✅ 成功页面</div></div>
<div class="stat-card"><div class="stat-num num-fail" id="stFail">0</div><div class="stat-label">❌ 失败页面</div></div>
<div class="stat-card"><div class="stat-num" id="stImgs">0</div><div class="stat-label">🖼️ 已爬图片</div></div>
<div class="stat-card"><div class="stat-num" id="stDisk">0</div><div class="stat-label">💾 磁盘占用</div></div>
<div class="stat-card"><div class="stat-num" id="stTasks">-</div><div class="stat-label">📋 任务总数</div></div>
<div class="stat-card"><div class="stat-num num-run" id="stRunning">-</div><div class="stat-label">🔄 正在运行</div></div>
<div class="stat-card"><div class="stat-num" id="stRuns">-</div><div class="stat-label">📊 累计运行次数</div></div>
<div class="stat-card"><div class="stat-num num-ok" id="stOk">-</div><div class="stat-label">✅ 成功页面</div></div>
<div class="stat-card"><div class="stat-num num-fail" id="stFail">-</div><div class="stat-label">❌ 失败页面</div></div>
<div class="stat-card"><div class="stat-num" id="stImgs">-</div><div class="stat-label">🖼️ 已爬图片</div></div>
<div class="stat-card"><div class="stat-num" id="stDisk">-</div><div class="stat-label">💾 磁盘占用</div></div>
</div>
<div id="taskList" class="task-grid"></div>
<div id="emptyState" class="empty hidden">
@@ -116,7 +116,7 @@
</div>
<div id="autoBox" class="hidden box">
<div class="field"><label>起始网址 *系统将自动发现符合规则的链接并爬取</label>
<div class="field"><label>起始网址 *(自动发现符合规则的链接,持续递归爬取直到无新链接可爬</label>
<div class="row2">
<input name="seed_url" placeholder="https://example.com/news" style="flex:1">
<button type="button" class="btn sm" id="btnProbe">🧪 试爬取</button>
@@ -133,8 +133,10 @@
<div class="field check"><label><input name="use_regex" type="checkbox"> 规则按正则匹配</label></div>
</div>
<div class="row2">
<div class="field"><label>最大页数</label><input name="max_pages" type="number" value="50"></div>
<div class="field"><label>最大爬取深度</label><input name="max_depth" type="number" value="2"></div>
<div class="field"><label>最大爬取深度(0=无限制,N=只爬 N 层)</label>
<input name="max_depth" type="number" min="0" value="0"></div>
<div class="field"><label>最大页数(0=无限制,默认 1000 作安全上限)</label>
<input name="max_pages" type="number" min="0" value="1000"></div>
</div>
</div>
</div>
+12
View File
@@ -275,3 +275,15 @@ td.title-cell { max-width: 220px; overflow: hidden; text-overflow: ellipsis; }
@keyframes fadein { from { opacity: 0; transform: translate(-50%, -8px); } }
::-webkit-scrollbar { width: 8px; height: 8px; }
::-webkit-scrollbar-thumb { background: var(--thumb); border-radius: 4px; }
/* 结果分页控件 */
.pager {
display: flex;
align-items: center;
justify-content: center;
gap: 12px;
padding: 10px 0;
flex-wrap: wrap;
}
.pager-info { color: var(--text-dim, #999); font-size: 13px; }
.pager .btn:disabled { opacity: 0.4; cursor: not-allowed; }
+41
View File
@@ -10,6 +10,7 @@ HERE = os.path.dirname(os.path.abspath(__file__))
DATA_DIR = os.path.join(HERE, "data")
TASKS_FILE = os.path.join(DATA_DIR, "tasks.json")
RUNS_FILE = os.path.join(DATA_DIR, "runs.json") # {task_id: [run, ...]}
AUTO_STATE_DIR = os.path.join(DATA_DIR, "auto_state") # auto 任务待爬/已爬队列独立存储
_lock = threading.RLock()
@@ -140,6 +141,46 @@ def purge_trash():
return purged
# ---------------- auto 任务状态 (待爬队列/已爬集合) ----------------
# 独立于 tasks.json 存储: 避免上万条 URL 撑大任务文件导致全量读写变慢
def auto_state_path(task_id):
return os.path.join(AUTO_STATE_DIR, f"{task_id}.json")
def load_auto_state(task_id, fallback_task=None):
"""读取 auto 任务的 pending/visited 状态; 无独立文件时从旧任务对象迁移"""
with _lock:
path = auto_state_path(task_id)
if os.path.exists(path):
st = _load(path, {}) or {}
return {"pending": st.get("pending", []), "visited": st.get("visited", [])}
if fallback_task:
auto = fallback_task.get("auto") or {}
st = {"pending": auto.get("pending", []), "visited": auto.get("visited", [])}
if st["pending"] or st["visited"]:
_save(path, st) # 自动迁移旧数据
return st
return {"pending": [], "visited": []}
def save_auto_state(task_id, state):
with _lock:
_save(auto_state_path(task_id), {
"pending": state.get("pending", []),
"visited": state.get("visited", []),
})
def clear_auto_state(task_id):
"""删除 auto 状态文件"""
with _lock:
try:
os.remove(auto_state_path(task_id))
except OSError:
pass
# ---------------- 运行记录 ----------------
def load_runs_map():