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wechatauto-replica — 微信 4.x Windows 自动化 / WeChat 4.x Automation

中文版 在下方 · English version below


🇨🇳 中文版

wechatauto —— 微信 4.x Windows 客户端自动化(wxauto 复刻版)

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本项目复刻上游 wxauto 项目,目标是实现对当前微信 4.x Windows 客户端的自动化 (读取消息、发送消息、媒体下载、朋友圈),非网页版,直接操作本机客户端。

当前版本:1.2.2.4

兼容范围:Windows 10/11 | Python 3.9+(已在 3.12 验证)| 微信 4.1.12+ (数据库读取路线对微信版本不敏感;坐标+OCR 发送路线依赖 4.1.12+ 自绘渲染 布局,其它 4.x 小版本可能需校准 guia.py 布局常量)。

解密读取微信 4.x 加密数据库

直接解密读取 xwechat_files/.../db_storage/ 下的 contact.db / message_*.db / sns.db 加密库——纯本地,无 Web API。


🤝 致谢

感谢 vesio 在 issue #1 提供微信 4.1.12 的 UIA 控件树代码与思路,促成了 v1.0.8 的 UIA 混合驱动。

感谢 nanshanjack 发现 UI 锁的可重入问题(v1.1.2 修复)。

感谢 maozhitao12450 报告 WXAM (wxgf) 图片下载问题(v1.1.3 修复)。

感谢 uiharukazari0105 发现语音数据分片存储(media_1.db 等)从未被搜索的问题(v1.1.4 修复)。


版本记录

v1.2.2.4(2026-09-18)

  • 修复:密钥形式错误会让整个消息分片读不出来。密钥缓存里可能存成 48 字节(32B key + 16B 显式 salt)形式,而解密按密钥长度选分支——48 字节会走「明文头库」分支,解出的文件头不是 SQLite(file is not a database),该分片(实测 96MB 的 message_0.db)整库不可读、读消息全部失败。现三重防护:存储时先按标准形式校验(通过即存 32 字节裸密钥,仅明文头库才存 48 字节)、读取时归一化判定、缓存加载时自动纠正历史条目。
  • 修复:微信持续写入时「数据库合并失败」直接报错。原实现把解密结果直接写在缓存文件上,合并失败即抛 RuntimeError,且会毁掉上一份可用副本。现在:先做主库自洽快照当底线(解密后 quick_check,失败自动重读最多 4 次)→ 再在副本上尝试合并 WAL(失败降级为「仅主库快照」并告警)→ 全程写临时文件、成功才原子替换,任何失败都不破坏上一份可用副本。
  • 修复:缓存残留已不存在的库条目会让构造整体崩(KeyError)——现已整体容错。
  • 布局:新增手机式竖屏(双档位 wide / portrait),按窗口长宽比自动选档、两档独立校准并存于布局文件(旧格式自动迁移);同时修复竖屏下会话定位失效(名字列过滤把整列会话名当成头像区滤掉 → find_session 恒返回 None)。
  • 清理:删除 10 处未使用 import;8 处「吞异常」补 debug 日志(不再把探测失败伪装成正常结果);demo_send.py 去掉他人用户名与本机路径、默认图片改为自动探测 RWTemp;README 中真实 wxid 改占位。
  • 新增 tools/selftest.py:只读自检(layout / keys / sessions / messages),python tools/selftest.py 一次跑完。

v1.2.2.3(2026-09-16)

  • 修复:库运行期间磁盘持续约 50MB/s 读写。解密缓存的 stamp 判定用精确浮点相等比较 mtime,而写盘用 %f(只 6 位小数)、Windows 的 mtime 有 7 位小数 → 每轮查询(约 1s)都被判定为“库已变化”,于是反复全量解密 + 合并 WAL + 重写缓存。现改为 STAMP_VERSION 3 + %r(完整往返精度),升级后重建一次即稳定。
  • 消息读取改为“分片内先 LIMIT 再合并”(48k 条大群实测 5.5×:1.053s → 0.191s;get_new_messages 约 6×)。超大群不再把每个分片的全部行物化进 Python;get_messages / get_new_messages / get_message_row(..., local_type=) / get_message_rows_for_media 等公开 API 签名与结果均不变(6 个会话 × 71 个用例逐条比对一致)。
  • 修复 UTF-8 模式下“取不到密钥”:4 处 tasklist 调用未指定编码,在 python -X utf8 / PYTHONUTF8=1 下解码 GBK 输出失败 → stdout 变成 None → AttributeError,整个取密钥流程崩掉。现统一 encoding="gbk", errors="replace" 并对 stdout 兜底。
  • WeChatUIA.is_running() 改为多判据:原来单判据 + except → False,任何异常都会变成“微信未运行”的假报错;现为 tasklist / 主窗口标题 / psutil 三判据,且只有所有判据都出错失败时才写 stderr 说明原因。
  • 演示脚本与文档中的真实联系人/群名清理:统一改为「文件传输助手」(示例默认值「兔仔仔」「送你挖银子」保留)。

v1.2.2.2(2026-09-13)

  • 密钥问题根除(不再“每次微信更新都复发”):三层修复。
    • 缓存不再被写空:_save_keys() 空结果不落盘(原子写 + 保留 .bak)。此前提取偶发失败(选错账号/权限)会把好缓存覆盖成空文件,之后每次启动都报“0 把密钥”——故障现场的 keys cached: 0 即由此而来。
    • 稳定密钥副本:自动在 %LOCALAPPDATA%\wechatauto_keys\<账号>.json 保留一份(可用环境变量 WECHATAUTO_KEYS_DIR 指定目录,例如项目工作区),跨 TEMP 清理与微信更新复用。启动时按「稳定副本 → 工作缓存 → .bak → 其它账号缓存」多位置合并,并逐条页1 HMAC 校验,只保留真能用的。
    • 账号选择改由密钥校验决定:不再按“最近修改的 .db”猜账号(微信每次更新会重写 .db,mtime 全变 → 选错账号 → 0 密钥)。现在一次内存扫描收集候选密钥,对每个账号目录分别做页1 HMAC 打分,选能解开的那一个并自动切换(日志:已按密钥校验选定账号目录: …)。
  • cfg 主密钥告警:cfg 路径在微信 4.1.13+ 会返回不可信的主密钥(v1.1.9 起已降级为回退路径);现在它复现不出任何库密钥时会明确告警,不再静默当作成功。
  • 诊断增强(diagnose_keys):新增微信客户端 FileVersion、逐账号「缓存可用 / 主密钥派生」计数、主密钥一致性检查(判断“密钥属于哪个账号”);_open 报错文本直接列出三条经典原因(32 位 Python / 权限与微信不一致 / 多账号选错)+ account= 提示。

v1.2.2.1(2026-09-12)

  • 兼容微信新版界面(4.1.13.65 实测):新版把 AutomationId 从短名改成了点分路径(旧 session_list / chat_input_field → 新 MainView.main_tabbar、MainView….main_window_sub_splitter_view…),原来按短名精确等值匹配会失配。现在 AID 一律按「精确 / 点分段相等 / 结尾匹配」判定(_aid_hit()),旧版短名与新版路径都能命中。
  • 窗口标题匹配放宽:新版主窗口标题为 Weixin、带未读数时变成 微信(3);_title_is_main() 改为包含匹配,WeChat 等其它窗口不会误匹配。
  • 锚点候选 + 结构兜底:主窗口 / 登录窗 / 搜索框改为候选元组匹配(单值常量保留,兼容外部引用);搜索框、聊天输入框、搜索结果列表各自增加结构兜底(Name 含「搜索」的 EditControl / 聊天区 EditControl / 根节点属性搜索),日后新版改类名或 AID 时不至于整体失效。
  • 新增布局自检 WeChatUIA.describe_layout():一次调用返回主类名、标题、布局类型(merged 合并布局 / legacy 独立朋友圈窗 / chat)与各锚点解析结果(main_window / search_box / session_list / chat_input / main_tabbar / sns_list)。微信再改界面时先跑它,即可定位是哪个锚点失配。
  • 说明:朋友圈相关锚点本身已是双布局分支(独立 mmui::SNSWindow / 合并 mmui::SNSContentView),4.1.13.65 实测类名未变,无需调整。

v1.2.2(2026-09-12)

  • 修复跨分片消息读取(消息/语音不全):同一会话的 Msg_<md5> 表实际横跨多个 message_*.db 分片,而 get_messages 只命中第一个分片——实测某会话真实 8904 条消息(24 条语音)此前只返回 1 条。新增 _find_msg_tables() / _msg_conns() / _shard_rows(),跨全部分片合并后按 sort_seq 排序;get_messages、get_new_messages、_find_media_rows 均改用合并视图。get_message_row 新增 local_type 过滤(local_id 跨分片不唯一),并新增 get_message_rows_for_media() 返回全部分片命中行;媒体下载各方法传入类型码以选中正确分片行。
  • 监听可靠投递(行为变更):水位改为回调成功后才推进(新增 _inflight 分派边界,回调未确认前不重复分派同一消息),回调失败按 max_retries(默认 3 次)重试后再记丢弃;水位自动落盘 listener_watermark.json。进程停机期间到达的消息会在下次启动时补投,不再被静默跳过。传 watermark_file="" 可关闭落盘。
  • 文本还原不再要求含中文:纯英文 / 纯数字 / URL / Emoji 的容器格式消息不再退化成 [文本](改为可打印率 + 字符类别双重判定)。
  • Chat.GetNewMessage() 不再丢积压:单批 200 条以上时连续分批拉取直到追平,水位只推进到实际取回的最后一条,不再直接跳到库内最新位置。
  • UIA 物化自愈(微信重启/升级后子控件全扫不到):微信重启或升级后 Qt accessibility gate 字节归零,mmui:: 树退化为 Qt 空壳(Qt51514QWindowIcon + 2 个节点,扫不到任何控件)。现在会热写 gate → 校验 mmui:: 是否真的出现 → 失败自动换候选 RVA 重试(真正生效过的 RVA 按 DLL 身份缓存);_get_uia() 增加 30s 节流自愈,不再「一次唤醒失败就永久降级 OCR」,也不再需要人工 refresh=True。兜底表补 4.1.13.65 → 0x0AE2B0C8。
  • 朋友圈滚动定位修复:加入反向上限(每轮最多反向 1 次,之后单向向下)与卡死检测(顶部指纹改为含包围盒几何——合并布局整屏复用 ListItem、同名 cell 不再误判「卡死」而中途放弃);DB 标尺判断目标在下方时跳过「先滚到顶部」;停止判据改为下一条朋友圈 UIA 出现即停;方向与距离修正(被裁像素换算滚轮格数)+ 底部余量,解决「翻的距离不够、够不到 … 按钮」。
  • 消息类型表:支持微信 4.x 复合 local_type(按低 32 位分解真实类型);新增 50 音视频通话(<voipmsg> 气泡)、11000 动画表情、8594229559345 红包(库侧此前被低 8 位映射误标为「文件/链接/卡片」);空正文(表情/贴纸类)显示 [动画表情] 占位;demo_group_messages 对所有类型统一 zstd 解压并输出一行摘要。
  • demo_listen.py --all 自动发现新会话(此前只取启动时最近 30 个,之后新建会话不会加入监听)。
  • 新增防撤回监听 RecallGuard(测试版):watch(listener) 后把每条新消息写入独立镜像 sqlite 库、附件(图片/语音/视频/文件)增量备份到 media/;收到 revokemsg 系统消息时终端打印 [撤回] 撤回者 → 原文 并写入 recall_events 表。未充分实机验证,按测试版发布。
  • 新增 MomentObserver(测试版):朋友圈缓存 key 的「观察即固化」——snapshot() / diff() 快照与轮询导出(缓存 key 与 feed md5 之间无可推导映射且缓存易失,故观察即可固化)。未充分实机验证,按测试版发布。

v1.2.1(2026-09-06)

  • 新增「引用消息并发送」(测试版):WeChatGUI.quote_msg(text, who, target_text=None, verify=False) 右键定位消息 → 弹出菜单选择「引用」→ 输入内容并发送;target_text 省略时引用最近一条。quick_quote() 提供一行式入口,示例脚本 wechatauto/demo_quote.py。
    • 测试版说明:引用功能走「坐标 + OCR + SendInput」模拟点击路线,依赖微信 4.1.x 自绘渲染布局;随窗口尺寸/DPI/会话内容不同可能存在定位偏差。右键采用 SendInput 注入(微信渲染窗口对 mouse_event 右键不响应),光标先 SetCursorPos 移至目标再注入,避免“只移动不点击 / 只点击不移动”的错位。使用中发现定位不准时请调整会话内消息布局后重试。
  • 移除 desktop_available() 桌面白屏判定:控件定位已全面走 UIA,不再依赖整窗截图白色占比采样——该判定在微信窗口正常时曾误报「窗口不可见」。ensure_visible() 现以窗口句柄存活判定可见性,保留「最小化遮挡窗口 + 置顶微信」的前置动作。

v1.2.0.3(2026-08-31)

  • 修复 WAL 合并后数据库解密缓存损坏导致死循环:_check_merged 之前用 SELECT count(*) FROM sqlite_master 只查 schema 树,数据页损坏仍能通过校验,缓存 stamp 标记为"最新"后每秒轮询复用坏缓存,反复抛 database disk image is malformed 形成死循环。改用 PRAGMA quick_check 全库校验(含数据页/索引页);新增 _invalidate_cache() 清空解密 .db/.stamp 缓存;查询统一入口 _run_msg_query:命中 malformed 时清缓存→重建→自动重试一次;_msg_conn 及时关闭分片库连接避免 Windows 文件占用。

v1.2.0(2026-08-30)

注:本版本合并了 1.1.10.2 之后、此前尚未发布的全部改动(1.1.10.3 → 1.1.10.7 的内容)。

  • 朋友圈智能定位与自动点赞:Moment.find_moment(publisher, keyword, ...) 采用 数据库路线计算目标偏移 + UIA 路线滚动定位 的混合方案——先用本地 sns.db 标尺算出目标动态相对当前可见条目的索引偏移,再按偏移方向动态滚动(自适应步长),最终定位到指定作者/关键词的朋友圈,摆脱了“盲目往下翻”和“过早判定未找到”的问题。
  • “…”浮层识别:Moment._locate_more_click / _find_more_button 通过模板匹配(深浅两套模板,随包打包进 assets/)定位朋友圈右下角“…”按钮并点击,未识别到时自动微调滚动重试,弹出点赞/评论浮层。
  • 一键点赞:Moment.LikeMoment(publisher, keyword, ...) 一键完成“定位 → 点…→ 浮层内点赞”;浮层内“赞/评论”按钮通过从 UIA 根节点向下做全局深度遍历按名称匹配后按其中心坐标点击。
  • 朋友圈点赞/评论(UIA 控件路线):WeChat 现暴露 Moment 属性与 SwitchToMoments(),通过热激活 mmui UIA 树并点击导航栏“朋友圈”。Moment.Like(item, cancel=False) 与 Moment.Comment(item, content, reply_to=None) 基于 UIA 控件对动态条目操作——点赞/评论属服务端行为,只能走界面(数据库路线保持只读)。UIA 树不可用时 WeChat.Moment 为 None。示例 wechatauto/demo_moments_interact.py。
  • 朋友圈图片/视频下载:新增 MomentDB.download_media(media, save_dir, kind)——优先从本地缓存原样复制(离线、秒级),缓存缺失时回退到 CDN url 下载;MomentDB.download_moment_media(feed, save_dir, ...) 批量把一条动态的图片/视频落地到目录。find_local_media(md5, kind, size) 按 md5 定位缓存文件,对视频按 totalSize 跨整个 Sns/Video 树按大小近似匹配(视频缓存文件名是内容哈希、与朋友圈记录里的 md5 无关,故用大小找回真实 MP4)。parse_feed 现通过 videomd5 / videoDuration / type 区分图片与视频,并记录每条媒体的 size。示例 wechatauto/demo_moments_download.py。
  • 朋友圈读取 API(数据库路线):MomentDB.get_moments() 新增 since / until(Unix 秒时间过滤)与 keyword(正文过滤),并支持 limit=0 全量返回。新增增量同步 latest_tid() / get_moments_since(),便于轮询检测「有新朋友圈」。新增互动通知 get_interactions() / interactions_unread_count(),读取「他人对我朋友圈的赞/评论」表(SnsMessage_tmp3)。新增 comment_tree() / comment_reply_to(),按 comment_id / ref_comment_id 将评论组织成回复树。
  • 新增群名 ↔ 群ID 互查:get_groups() 现在返回每个群的真实 name(来自 contact 表,无群名时回退 wxid)。新增 group_name_to_id(name)(先精确匹配,再子串/模糊匹配)与 group_id_to_name(chatroom_wxid),可按群显示名反查群 wxid(及反向),便于与 get_group_members()、at_member() 配合使用。
  • 新增群成员枚举与变动监测(只读,无需 UI):新增 WeChatDB.get_groups() / get_group_members(chatroom_wxid),读取 contact.db 的 chat_room + chatroom_member + contact 三表关联,返回每个群的成员。新增 GroupMemberWatcher(经 get_group_member_watcher 创建):先 capture() 存基线快照,之后 poll() 对比当前成员输出 joined / left 差异,实现轮询式群成员变动监测。可与现有 UI 自动化的 at_member() 配合使用。
  • 新增可运行示例 wechatauto/demo_moment_find.py、demo_moment_more.py、demo_moment_like.py;新增依赖 pyautogui、opencv-python。

v1.1.10.2(2026-08-30)

  • 修复全新安装后长文本仍显示 [文本]:新增必需依赖 zstandard。微信4.x 将长文本的 message_content 存为 zstd 压缩帧,由 _friendly_content 通过 import zstandard 解压。但 zstandard 此前不在必需依赖中,用户机器未安装时该 import 被静默吞掉,长文本退化为 [文本] 占位符(监听本身正常,故难定位)。现已将 zstandard 加入必需依赖;_friendly_content 同时新增惰性双包名导入(zstandard/zstd,见 _get_zstd_module() / _zstd_decompress())。

v1.1.10.1(2026-08-29)

  • 修复消息读取的 AttributeError: 'sqlite3.Row' object has no attribute 'get':_msg_row_to_dict 对 sqlite3.Row 调用了 .get("compress_content"),而该对象只支持下标 [] 访问。当消息内容解压后仍为占位符(如表情等特殊类型)时走此分支,导致实时 Listener 轮询循环崩溃。现改为下标访问并容错,get_messages / get_new_messages / get_message_row 均修复。

v1.1.10(2026-08-27)

  • 新增原图下载功能:MediaDownloader.download_image_original() 通过UI自动化点击图片消息,触发微信下载原图。解决了群聊图片只有缩略图可用的限制。
  • 修复长文本消息内容提取:添加zstd解压支持、compress_content回退,修复换行符处理问题。

v1.1.9(2026-08-27)

  • 修复微信4.1.13+密钥提取:调整密钥提取优先级,将Config.Cipher内存扫描置于extract_master_key_from_cfg之前。cfg提取方式在微信4.1.13.12上返回错误的主密钥,而Config.Cipher扫描(从XOR解码的blob中读取原始enc_key值)工作正常。此修复解决了新版微信"0/24密钥验证通过"的问题。

v1.1.8(2026-08-25)

  • 修复 MediaDownloader 缺失 _derive_xor_key 方法:v1.1.7 发布时意外遗漏了 _derive_xor_key() 方法,但代码路径(_decrypt_v2、detect_image_key)仍引用它,导致图片解密时出现 AttributeError。已恢复该方法,用于从缩略图 _t.dat / _h.dat 文件反推 XOR 密钥。
  • 修复群聊 sender_id → sender_username 映射:Listener 回调现在会在消息字典中返回 sender_username(wxid 格式),通过 message_resource.SenderName2Id 映射表将数字 sender_id 转换为可直接用于 search_contact() 的用户名。
  • 感谢 uiharukazari0105 报告 v1.1.7 版本缺失 _derive_xor_key 方法的 bug。

v1.1.6.1(2026-08-20)

  • PyPI 描述修复:1.1.6 发布时漏同步 README_pypi.md(描述停留在 1.1.5.1),本补丁版补全 v1.1.6 更新记录并同步版本号。

v1.1.6(2026-08-20)

  • 缺密钥报错自动诊断:数据库无可用密钥 报错前会自动检测三项最常见根因——Python 位数(32 位读不了 64 位微信内存)、逐个微信进程的 OpenProcess/ReadProcessMemory 读取权限、多账号目录与所选账号对比(提示用 WeChatDB(account=...) 显式指定),无需先手动运行 diagnose_keys。
  • 新增诊断工具:wechatauto/diagnose_keys.py(微信登录后运行 python -m wechatauto.diagnose_keys)输出库版本、Python 位数、微信进程 PID 及逐个进程的读取权限检测、磁盘全部账号与所选账号对比、已缓存密钥、进程内存重新提取结果与密钥校验情况——报密钥提取问题时把输出完整发给维护者即可定位。
  • 跳过 migrate\unspportmsg.db:该库是微信保留的「未支持消息」库,进程内存中无对应密钥、代码也从不会访问;此前它会让每次初始化都触发一次全进程内存扫描。

v1.1.5.1(2026-08-18)— 测试版 / beta

  • 修复实时监听不触发:WeChatDB.get_new_messages() 引用了未定义的 found(NameError 被 Listener._poll_once 吞掉),导致消息回调从未触发——包括从未聊过天的联系人的首条消息。
  • 动态消息分片:_message_dbs() 现在会重新扫描磁盘,微信运行中新建的分片(如 message_5.db)会被自动发现并提取密钥。

v1.1.5(2026-08-18)

  • 版本号规范化:语音跨库下载修复后整理补丁版本号(1.1.4.2 → 1.1.5)。

v1.1.4.2(2026-08-18)

  • PyPI 描述清理:移除 v1.1.4 版本记录中关于 demo 默认群改动的条目。

v1.1.4.1(2026-08-18)

  • PyPI 页面中英双语:PyPI 描述合并中文(README.zh-CN.md)与英文(README.md)两个版本,中文版在包页面可见。

v1.1.4(2026-08-18)

  • 跨全部媒体库下载语音:download_voice() 现在搜索所有 media_*.db(不再只查 media_0.db)——微信把语音分片存到多个媒体库;此前存在 media_1.db 等的语音无法找到(感谢 uiharukazari0105)。
  • 群聊图片缩略图回退:群聊的图片原图只有被点开(查看)后才会落盘本地;原图未点开不下发时,download_image 自动回退到缩略图(_t.dat),保存为带 _thumb 后缀的文件。
  • WeChatDB._find_media_rows(user, types):新增批量查媒体接口——返回某会话指定 local_type 集合的全部媒体 local_id(用于批量下载)。
  • demo_media.py --images N:按 local_type 直接从数据库下载某会话最近 N 张图片,绕过总消息数 --limit 的限制——群聊消息上万条时不再「只列出几张图」。

v1.1.3(2026-08-17)

  • WXAM (wxgf) 图片解码:微信 4.x 现在把普通图片(不仅是动图贴纸)也存进 WXAM 容器 (内部为 HEVC 比特流)。MediaDownloader.download_image 新增 wxgf 处理:提取 HEVC Annex-B 流,用 ffmpeg 转码为 JPG(优先用 imageio-ffmpeg 内置二进制,其次 PATH 上的 ffmpeg);ffmpeg 不可用时不再丢弃数据,改为保存原始解密数据为 .wxgf 兜底。
  • 新增依赖:imageio-ffmpeg>=0.4.9。

v1.1.2(2026-08-16)

  • UIA 驱动线程安全:WeChatUIA 实例化时在当前线程初始化 COM(CoInitializeEx,幂等)——修复后台线程/宿主进程(如 WeChatBot)实例化报「尚未调用 CoInitialize / 无法加载 UIAutomationCore.dll」。
  • 主窗口过滤:只认加载了 Weixin.dll 的主进程窗口,过滤无 DLL 的辅助进程窗口(其热激活必然失败,不再刷噪音警告)。
  • 转发语音修复:Chat.ForwardVoiceMessage 未指定目标时用 self(原 _cur() 可能误取会话)。
  • UI 锁可重入:LockManager 同线程可重入——@uilock 函数互相调用(如 ForwardVoiceMessage → VoiceMessage.forward_to)不再死锁。

v1.1.1(2026-08-16)

  • 撤回消息(Chat.RecallLastMessage / uia_driver.recall_last_message):右键最新一条自己发的消息 → UIA 优先 (主窗口树内 mmui::XMenuView 菜单项定位「撤回」,Invoke/Select 或鼠标点击),OCR 兜底(全屏识别「撤回」 文字定位点击);菜单只剩「删除」(超过 2 分钟撤回时限)时返回失败。
  • UIA 健壮性:菜单项查找限定在主窗口子树内(避免触发 Windows UIA 根遍历的系统挂起 bug);移除脆弱的 WindowControl(ClassName=...) 兜底定位。
  • 媒体修复:视频 id bytes→str 解码(MediaDownloader),修复视频文件定位。
  • demo_media.py --photos 默认 3 → 10。

v1.1.0(2026-08-15)

  • 图片 AES 密钥自动监控捕获(media.py):微信 4.x 的 V2 图片 AES 密钥仅在 查看图片大图时短暂驻留进程内存(实测约 5 分钟后释放)。_scan_aes_key() 新增 monitor 模式——首次扫描未命中时自动持续轮询并提示去微信点开一张图片看大图, 密钥进入内存后自动捕获并持久化到 image_keys.json,之后免扫描直接解密。 首次用户无需手工找密钥,看图一次即可完成配置。
  • 修复进程排序扫描 bug:移除 _scan_aes_key 中按内存占用排序进程的逻辑 (GetProcessMemoryInfo 结构体大小传错导致工作集全为 0,reverse 排序反而把 主进程排到最后,错过密钥驻留窗口),恢复按微信进程原顺序扫描(主进程优先命中)。
  • 语音/视频/文件不受影响:仅图片 .dat 为 V2 AES 加密需密钥;语音(SILK)、 视频(MP4)、文件均为明文直接读取。

v1.0.9(2026-08-14)

  • open_chat 账号/微信号搜索修复(uia_driver.py):微信搜索框不认 wxid (系统账号),open_chat 传入 username 时自动通过本地 DB 映射为昵称/备注/ 微信号再搜索(_resolve_search_keyword),并清空搜索框残留重试; 实测 open_chat('wxid_xxxxxxxxxxxx') 成功。
  • UIA 表情包精确读取(msgs/mtype.py + uia_driver.py):热激活后消息 列表暴露 mmui::RecyclerListView,新增 find_in_message_list() 用鼠标滚轮 驱动虚拟化列表滚动,按 ClassName/Name 定位表情行并取 BoundingRectangle 精确坐标;EmojiMessage.capture() 优先走 UIA 定位 + 方向感知气泡裁剪 (_crop_bubble_from_row),实测 1.1s 裁出 271×271 表情,替代原先 「截图全消息区 + 连通域猜气泡」的脆弱方案;失败自动回退原连通域逻辑。
  • 语音通话(uia_driver.voice_call + Chat.VoiceCall):标题栏暴露 mmui::ChatVoIPView.voip_button(Name=语音通话),控件树动态重建需重试 定位;video=True 尝试找视频通话按钮(当前版本未暴露,通常失败)。
  • 拍一拍(uia_driver.poke + Chat.Poke):微信 4.x 拍一拍只能通过 右键对方头像触发,菜单为自绘不暴露 UIA;实现为「内容重心定位 friend 消息行 → 右键头像 → 全屏 OCR 定位「拍一拍」→ 点击」,实测 3.2s 发出 (网络正常时对方收到,网络异常时微信显示失败提示,链路本身正确)。
  • EmojiMessage.capture() / voice_call / poke 失败均自动回退或返回 WxResponse 失败,不影响既有 OCR 发送路径。

v1.0.8(2026-08-13)

  • 🎉 特别感谢 vesio:在 issue #1 中提供了微信 4.1.12 可出 UIA 控件树的代码与调试思路,本版 UIA 混合驱动由此而来;
  • UIA 混合驱动(uia_driver.py,微信 4.1.12.26 实测):
    • 新增 WeChatUIA 引擎:冷启动时 Qt51514QWindowIcon 只是空壳(Qt 无障碍门未激活),通过写 Weixin.dll 内的 Qt accessibility gate (RVA 扫描定位)热激活后,锚点变为 mmui::MainWindow,搜索框 mmui::XValidatorTextEdit / 搜索下拉 search_list / 输入框 chat_input_field 全部可用;
    • 发送链路全部走 UIA:搜索下拉选人(search_item_*)打开会话 → chat_input_field 直接输入 + 回车发送,current_chat 校验防误配, 无 OCR 抖动;Windows 冷状态热激活后 UIA 树保持可用;
    • guia.py 集成混合路径:_get_uia() 惰性启用,open_chat / send_msg UIA 优先、OCR 兜底——UIA 树不可用(版本变更新增 RVA) 或失败时自动降级到坐标 + 放大 OCR 方案,首次失败本次会话内不再重试。
    • 实测:send_msg('文件传输助手') 10.2s、send_msg('某好友') 13.2s 均走 UIA 并数据库确认成功(含 verify);UIA 对生僻字会话名不再依赖 OCR 识别。
  • 新增依赖:uiautomation(UIA 客户端库)。

v1.0.7(2026-08-13)

  • OCR 识别可靠性提升(guia.py,针对生僻字/小字号会话名识别失败):
    • 新增 ocr_zoomed():对区域放大 N 倍后再 OCR,坐标按 1/N 还原;实测 微信小字号中文在放大 3 倍时识别率最高(放大 6 倍图像过大反而整块 返回空),超过 5 倍即回落;
    • _chat_is_open 标题检测改用放大 3 倍 + y 范围扩到 0-185(微信 4.x 标题实际渲染在 y≈80-180,原 15-100 的区间会漏检已打开的会话);
    • _search_chat 搜索回退排除「群聊」节标题以下行、含「包含」的群成员 预览行(如「00,包含:某好友」)与群名结尾行,只点联系人,修复 「搜索选中群聊而非联系人」的问题;
    • _chat_open_confirmed 改为优先标题命中,标题读不到才退而用面板 非空白作为已打开判据,修复「点错会话也误判成功」;
    • open_chat 首查 _chat_is_open && _pane_has_content,右侧面板已打开 目标会话时直接成功(不再滚动/搜索),已打开场景耗时 45s → 2.7s。
  • OCR 多轮投票(find_session._scan_vote):WinRT OCR 对生僻字存在 抖动(同一行不同轮次可能读出「某好友」或「亠人五」)。对侧栏放大 3x 扫描 4 轮,命中行按 y 聚类(≤30px 视为同行),票数 ≥2 才返回,显著 降低误配;普通会话仍走单轮快速路径,无性能损失。
  • 实测:find_session('某好友') 连续 5 轮 4/4 票一致、稳定命中; open_chat + send_msg 全链路成功。

v1.0.6(2026-08-11)

  • 元数据与门面优化:README 增加徽章(PyPI 版本/下载量/Python 版本/License/Stars)、PyPI description/keywords/classifiers SEO 优化、Homepage 修正为项目 GitHub 地址。

v1.0.5(2026-08-10)

  • 表情截图跨机器修复:EmojiMessage.capture() 表情气泡自动裁剪全面重构:
    • 主路径改用连通域分析(_crop_last_bubble),按消息方向(左=对方/右=自己) 精确定位最后一条消息气泡,自动过滤细长竖条(滚动条/面板边框)、剔除头像类 小元素,从根源解决右缘滚动条/边框被当成内容导致的右侧大片空白;
    • 圆形表情顶部/底部在缩放采样时因 LANCZOS 模糊丢失边缘像素:加大裁剪边距 (pad = max(10, scale*5))并在全分辨率下逐像素边缘扩展找回丢失内容, 且扩展遇连续空白行(消息间分隔)即停,避免吃进相邻消息;
    • 时间戳等居中小文字(水平居中约 50% 宽度)不再被误当成消息:方向判定加 阈值(左侧 <45% 宽度、右侧 >55%),居中元素两边都不匹配;
    • 最终尺寸校验:min(crop) < 50 视为时间戳/文字误判,自动回退到 「消息分隔空白」「头像锚点」等备用定位,仍过小则判定失败返回 None;
    • 本机与高 DPI 机器均已实测通过(完整表情、无空白、无切顶、不截时间戳)。

v1.0.4(2026-08-10)

  • 多特征兜底窗口定位:主窗口定位不再只依赖类名 Qt51514QWindowIcon (类名降级为软条件),联合 进程名 weixin.exe / 窗口可见 / 大尺寸 (≥800px)/ 标题关键词(微信/Weixin/WeChat)评分定位——Qt 升级改名 (Qt51514 → Qt6xxx)也不失效;渲染子窗口按前缀 MMUIRenderSubWindow 匹配(兼容 MMUIRenderSubWindowHW / MMUIRenderSubWindow 等变体), 找不到时退回用主窗口矩形计算坐标。
  • 布局自动校准:首次运行自动校准——OCR 检测「搜索」「发送」锚点实测 布局比例,保存到 ~/.wechatauto/layout-<机器标识>.json,之后自动加载; 布局漂移(DPI/窗口尺寸/缩放变化)时自动重新校准。
  • 最大化状态保持:激活窗口时先 GetWindowPlacement 记录状态,原为 最大化则用 SW_SHOWMAXIMIZED 恢复(原 SW_RESTORE 会把最大化窗口 缩成普通大小),最小化恢复不再破坏用户窗口布局。
  • 发送模块窗口兜底:find_main_window 类名查找失败后按标题「微信」 兜底,适配类名不同的机器。

v1.0.3(2026-08-08)

  • 文本消息还原:微信 4.x 部分文本消息 content 为「容器头 + UTF-8 明文 + 尾部填充」结构,此前显示为 [文本]/空。新增 _extract_text_from_blob 还原明文,数据库读取与 bot 均可见真实内容(含群消息 wxid_xxx: 前缀)。
  • 表情截图方向感知与兼容性:_db_row_to_message 写入 msg.attr (self/friend),EmojiMessage.capture() 按方向定位气泡(自己发的用 消息分隔空白、对方发的用头像锚点),避免截图前自己又发了一条消息时误截到 自己的气泡;裁剪阈值自适应截图尺寸,跨分辨率/DPI 可用。微信 4.x 主窗口为 Qt 自绘渲染,不暴露 UIA 子树,故截图定位全部基于屏幕像素分析。
  • 发送会话复用:send_msg 记录 _current_chat,目标会话已打开时跳过 open_chat(重扫侧栏+点击),逐条连续发送不再反复点击对话框,效率提升。
  • 搜索联系人选第一条:_search_chat 按视觉顺序排序并过滤「搜索网络结果/ 搜一搜」节标题,点选第一条联系人而非网络搜索。
  • 动画表情不再落盘伪 .gif:download_image 识别到 wxgf 容器(微信 动画表情私有格式)时返回 None,不再生成打不开的假图片。
  • Listener.stop() 崩溃修复:db.py 补 import sys(_run/_poll_once 使用 sys.stderr 却未导入)。

v1.0.2(2026-08-08)

  • 表情消息支持:新增 EmojiMessage 消息类型(type='emotion'), "动画表情"不再被归为 OtherMessage,并按收发方向提供 FriendEmojiMessage / SelfEmojiMessage。微信 4.x 表情消息在本地数据库中的 content 为加密数据,无法直接还原成图片,因此新增 EmojiMessage.capture(): 采用「打开会话 → 滚动到底 → 截取消息区 → 自动裁剪最后一条消息气泡」 的屏幕截图方案,返回图片路径,可直接供 AI 视觉识别使用 (示例见 demo_emoji_capture.py)。
  • 监听器并发工作线程:Listener 回调移到独立工作线程执行,每个被监听 会话对应一条串行工作线程——同一会话内消息按序处理、不同会话间并行; 轮询线程只负责读取数据库并分派任务,不再被慢回调(AI 调用 / 图片识别等) 阻塞,stop() 优雅关闭所有工作线程。
  • 数据库消息兼容增强:_db_row_to_message 支持 bytes 类型 content (自动解码还原文本)、local_type 缺失时自动推导消息类型, _extract_group_sender 兼容 bytes 内容。

一、项目状态

能力 状态 实现方式
读取消息 ✅ 已完成并验证 本地数据库解密(wechatauto/db.py)
消息监听(轮询) ✅ 已完成并验证 Listener + get_new_messages 增量回调
表情消息识别与截图 ✅ 已完成并验证(v1.0.3 方向感知) EmojiMessage + capture()(屏幕截图自动裁剪)
WAL 增量合并 ✅ 已修复并验证 帧盐校验合并 -wal(见 §2.4)
历史消息全量导出 ✅ 已完成并验证 export_history(JSON / SQLite)
媒体下载(图片/语音/文件) ✅ 已完成并验证 wechatauto/media.py(图片 V2 解密)
朋友圈读取 ✅ 已完成并验证 MomentDB 直接读 sns.db
多账号管理 ✅ 已完成并验证 list_accounts() + account= 参数
读取会话列表 ✅ 已完成并验证 同上
搜索联系人 ✅ 已完成并验证 同上
发送消息 ✅ 已完成并验证 UIA + 坐标+OCR 混合(wechatauto/guia.py)
发送文件/图片/回复/艾特 ✅ 已完成并验证 剪贴板 CF_HDROP + OCR
语音通话 / 拍一拍 ✅ 已完成并验证 UIA 按钮 + OCR 菜单(Chat.VoiceCall / Chat.Poke)
UI 自动化(UIAutomation) ✅ 热激活后可用 写 Weixin.dll Qt accessibility gate,物化 mmui::* 树

结论:微信 4.1.x 聊天界面使用自绘渲染(MMUIRenderSubWindow*),冷启动 对 UIAutomation 只暴露 Qt51514QWindowIcon 空壳(原 wxauto 的 UI 方案因此 失效)。本项目通过热激活 Qt accessibility gate(写 Weixin.dll 内读屏 标志位,从 qt.accessibility.core 引用扫描 RVA)物化 mmui::* UIA 树, 实现发送/语音通话/拍一拍等操作(UIA 优先、坐标+OCR 兜底);消息读取仍走 「本地数据库解密」(已全链路验证)。


二、读取原理

微信 4.x 的数据存放在本地 SQLCipher 4 加密的 SQLite 数据库中:

D:\微信文件\xwechat_files\<wxid>_xxxx\db_storage\
├── contact\contact.db            联系人(昵称、备注)
├── session\session.db            会话列表(未读数、摘要)
├── message\message_0..4.db       聊天消息(按会话分表 Msg_<md5>,跨分库分片)
├── message\media_0.db            语音(VoiceInfo.voice_data,SILK 二进制)
├── message\message_resource.db   文件原名(MessageResourceDetail.packed_info)
├── sns\sns.db                    朋友圈(SnsTimeLine,SnsDataItem XML)
└── ...

2.1 密钥提取(进程内存只读扫描)

每个数据库有独立的 32 字节密钥,保存在微信进程内存中的 com.Tencent.WCDB.Config.Cipher 配置对象里:

  1. 在 Weixin.exe 所有可读内存区域中查找该字符串;
  2. 由字符串地址定位配置对象([ptr][len] 结构回溯);
  3. 数据块与固定掩码异或后得到 x'<64位hex密钥><32位hex盐>' 明文配置;
  4. 用 SQLCipher 4 HMAC 校验规则验证每个候选密钥;
  5. 验证通过的密钥保存到 %TEMP%\wechatauto_db\<账号>\keys.json 缓存。

2.2 数据库解密

  • SQLCipher 4,页大小 4096,PBKDF2-HMAC-SHA512(加密密钥 256000 次迭代);
  • 解密结果按页写入临时目录,校验源 mtime/size 复用缓存;
  • 首次解密 contact.db 约 6s,之后全部秒级。

2.3 消息查询

  • 会话名 → Md5(会话微信号) → 表名 Msg_<md5>(同一会话可能分片在多个 message_*.db,按 sort_seq 合并排序);
  • 关键列:local_type、real_sender_id(2=自己,其他为数字 id,可通过 message_resource.SenderName2Id 反查微信号)、server_id、 packed_info_data(图片/视频 md5)、sort_seq。

2.4 WAL 增量合并(已修复)

微信 -wal 是预分配文件:checkpoint 时 WAL 头 salt+1 并清零写游标,但 旧世代帧仍留在文件中。若合并时不过滤帧盐,会把过期页覆盖进主库导致 database disk image is malformed。修复方案:

  • _merge_wal 读取 WAL 头后仅合并 salt 与当前 WAL 头一致的帧, 旧世代帧直接跳过;
  • 缓存 stamp 加入版本号 STAMP_VERSION=2,旧损坏缓存自动强制全量重建;
  • 合并结果用 PRAGMA integrity_check 校验,失败自动重试全量重建。

验证:contact.db 合并后 integrity OK,2354 个联系人全部可查。

2.5 媒体存储与解密(图片 v2 格式)

  • 图片:msg\attach\<会话md5>\<YYYY-MM>\Img\<md5>.dat(加密);
  • 语音:media_0.db → VoiceInfo.voice_data(SILK 明文 BLOB);
  • 文件:msg\file\<YYYY-MM>\<原文件名>(原名来自 message_resource);
  • 视频:msg\video\<YYYY-MM>\<id>.mp4(未落盘时返回 None)。

图片 .dat 为 v2 格式:[6B sig 070856320807][4B aes_size LE][4B xor_size LE]

  • AES-ECB 密文 + 明文段 + 异或段:
  • AES 密钥:16 字节 ASCII,账户级稳定密钥,但仅在微信查看图片时驻留 进程内存。MediaDownloader 通过内存扫描反测(AES 解首块后校验 JPEG/PNG 魔数)获取,命中后持久化到 image_keys.json;也支持 image_key= 参数 显式注入。本机实测:单一密钥稳定解密 35/40 张随机图片(其余为微信动画 表情容器 wxgf)。
  • XOR 密钥:单字节,从同图缩略图 <md5>_t.dat 尾部 JPEG 结束标记 FF D9 反推(key = tail[0] ^ 0xFF)。

三、快速开始

3.1 安装

pip install -e .
# 坐标+OCR 发送路线额外依赖:
pip install winsdk pypinyin

3.2 示例程序

python demo_db.py

3.3 代码示例

from wechatauto import WeChatDB

db = WeChatDB()  # 自动检测账号与数据目录(微信需已登录)

info = db.get_self_info()                     # 当前账号昵称
for s in db.get_sessions(limit=10):           # 会话列表
    print(db.get_nickname(s["username"]), s["unread"])

hits = db.search_contact("Ayi")               # 搜索联系人
who = hits[0]["username"]
for m in db.get_messages(who, limit=10):      # 最近消息
    print(m["create_time"], m["sender_id"], m["type"], m["content"])

3.4 媒体下载

from wechatauto import WeChatDB, MediaDownloader

db = WeChatDB()
md = MediaDownloader(db)                      # 可传 image_key="..." 注入图片密钥
key = md.detect_image_key()                   # 内存扫描/缓存取 AES+XOR 密钥
print(key)

for m in db.get_messages("filehelper", limit=50):
    out = md.download_media("filehelper", m["local_id"])   # 按类型自动分发
    if out:
        print("已下载:", out)

3.5 朋友圈读取

from wechatauto import WeChatDB, MomentDB

md = MomentDB(WeChatDB())
for feed in md.get_moments(limit=10):          # 时间线(3382 条全量可读)
    print(feed["nickname"], feed["text"])
    print("  图片:", [i["md5"] for i in feed["images"]])
    print("  赞:", [l["nickname"] for l in feed["likes"]])
    print("  评论:", [(c["nickname"], c["content"]) for c in feed["comments"]])
    md.download_media(feed["images"][0])       # 本地缓存或 URL 拉取

3.6 消息监听

from wechatauto import WeChatDB
from wechatauto.db import Listener

db = WeChatDB()
lst = Listener(db, interval=1.0)
lst.add_listener("filehelper", lambda msg, lst: print("新消息:", msg["content"]))
lst.start()
# ... 业务代码 ...
lst.stop()
  • 回调在独立工作线程中执行(v1.0.2):每个被监听会话对应一条串行 工作线程,同一会话内消息按序处理、不同会话间并行;轮询线程只负责读取 数据库并分派任务,不会被慢回调(AI 调用 / 图片识别等)阻塞。

3.7 历史导出

db.export_history(r"D:\backup\chat.json",   fmt="json")    # 全部会话
db.export_history(r"D:\backup\chat.db",     fmt="sqlite")
db.export_history(r"D:\backup\one.json",    fmt="json",
                  users=["filehelper"], limit_per_chat=1000)

3.8 多账号

from wechatauto import list_accounts, WeChatDB
for a in list_accounts():
    print(a["account"], a["wxid"])
db2 = WeChatDB(account="wxid_xxx_abcd")       # 显式指定账号(缓存按账号隔离)

3.9 表情消息与截图

微信 4.x 的"动画表情"消息在本地数据库中 content 为加密数据,无法直接还原成 图片。v1.0.2 起监听回调中的表情消息为独立的 EmojiMessage 类型 (type='emotion',FriendEmojiMessage / SelfEmojiMessage 按收发方向区分), 并支持对屏幕上的表情气泡自动截图:

# 在 Listener 回调内,把消息 dict 转成消息对象后再截图:
def on_msg(msg, listener):
    if msg["type"] == "动画表情":
        from wechatauto.wx import _db_row_to_message
        m = _db_row_to_message(msg, chat)   # chat: 当前会话
        path = m.capture()                  # 返回 PNG 路径,供 AI 视觉识别

capture(save_dir=None) 流程:打开会话(已打开则跳过,避免刷新消息列表导致 控件失效)→ 滚动到底 → 截取消息区 → 按消息方向定位最后一条消息气泡:

  • 自己发的消息(attr='self',右侧无头像):用「消息分隔空白」定位 消息顶部,空白阈值按截图高度自适应(约消息区高度的 2.5%), 跨分辨率/DPI 保持一致;
  • 对方发的消息(attr='friend',左侧有头像):优先检测头像圆形彩色块 的顶部作为消息顶部(特征跨分辨率稳定),失败时回退消息分隔空白。

返回图片路径(失败返回 None)。独立示例:python demo_emoji_capture.py。 调试时可保留 ~/pane_diag_raw.png(每次截图保存的消息区原图)与 [CAP] 日志行(截图尺寸、消息方向、裁剪路径、结果尺寸)用于排查。


四、API 参考

WeChatDB(db_dir=None, keys_file=None, workdir=None, account=None)

方法 说明
get_self_info() -> dict 当前账号(username / nick_name / remark)
get_sessions(limit=100) 会话列表:username / unread / summary / last_time
search_contact(keyword) 按昵称/备注/微信号搜索
get_messages(user, limit, offset) 读取指定会话消息
get_message_row(user, local_id) 单条原始消息(含 server_id / packed_info,媒体用)
get_new_messages(user, since_seq) sort_seq > since_seq 的增量消息(升序)
get_nickname(user) 微信号 → 显示昵称
list_message_chats() 所有含消息的会话(md5 / 昵称 / 消息数)
export_history(out_path, fmt, ...) 全量导出 JSON / SQLite
extract_keys() 手动触发密钥提取
wxid / account / account_dir 当前账号信息
list_accounts()(模块级) 扫描本机所有微信账号
auto_detect_db_dir()(模块级) 自动定位数据目录(配置文件 → 注册表 → 常见默认目录)

MediaDownloader(db, save_dir=None, image_key=None)

方法 说明
detect_image_key(refresh) 取 (AES 密钥, XOR 密钥),命中后持久化
decrypt_image(dat_path) 解密单个 .dat(自动识别 v1/v2)
download_media(user, local_id) 按类型分发下载
download_image / _voice / _video / _file 各类媒体下载
copy_files_to_clipboard(paths) CF_HDROP 写剪贴板(发送附件用)

MomentDB(db)

方法 说明
get_moments(limit, offset, username) 朋友圈时间线(最新在前)
get_moment(tid) / get_my_moments(limit) 单条 / 我的动态
find_local_media(md5, kind) 本地缓存查找(Sns\Img / Sns\Video)
download_media(media, save_dir) 缓存优先,否则 URL 拉取

Listener(db, interval, watermark)

add_listener(user, cb) / remove_listener / start / stop / watermark。

WeChatGUI(发送,锁屏不可用)

方法 说明
send_msg(text, who, verify) 文本发送(OCR 定位 + 剪贴板粘贴)
send_file(path, who, verify) 文件(CF_HDROP 粘贴 + 回车)
send_image(path, who, verify) 图片(同上)
reply_msg(text, who, verify) 回复最近消息(悬停 + OCR 回复入口)
at_member(member, text, who, verify) 群聊 @ 成员
open_chat / focus_input / bring_to_front 基础操作

一行式:quick_send / quick_send_file / quick_send_image / quick_reply。


五、已知限制

  1. 需要微信登录:数据库密钥存于进程内存,首次使用需微信运行中 (提取后本地缓存);重新登录后密钥变化需重新提取(自动校验失败重扫);
  2. 图片 AES 密钥瞬态:仅在微信查看图片时驻留内存;MediaDownloader 扫描命中后会持久化(image_keys.json),也可用 image_key= 显式传入;
  3. 发送为 GUI 操作:锁屏/会话断开时窗口不响应,发送接口返回明确失败; 文件/图片/回复/艾特代码已完成但需桌面解锁后实测;
  4. 视频文件未落盘时不可下载:视频 mp4 仅在本地存在(msg/video)时 返回,否则返回 None;
  5. 发朋友圈功能已舍弃:4.x 的发表为自绘界面操作,不可靠自动化; 本库仅保留朋友圈读取/点赞/评论能力。
  6. 评论/回复功能仅供测试:回复某条评论(ReplyComment)通过截图 OCR 定位评论区评论行,再驱动界面点击/粘贴/发送;朋友圈评论区为自绘、 布局多变,稳定性无法保证,仅建议在测试账号中验证流程,勿用于生产。
  7. 引用消息功能(BETA)仅供测试:quote_msg 通过坐标 + OCR + SendInput 模拟右键菜单选择「引用」,依赖微信 4.1.x 自绘渲染布局,随窗口尺寸/DPI/ 会话内容不同可能存在定位偏差,仅建议在测试账号中验证流程。

六、发送消息(坐标 + OCR)

微信 4.1.12+ 聊天界面自绘渲染、无无障碍节点,发送走 「屏幕坐标 + 本地 OCR」(wechatauto/guia.py):

  1. 多特征兜底定位主窗口(类名 Qt51514QWindowIcon 只是「软条件」, 联合标题 / 进程名 weixin.exe / 可见 / 大尺寸评分,Qt 升级改名也不 失效),再按前缀 MMUIRenderSubWindow 找渲染子窗口(兼容 MMUIRenderSubWindowHW / MMUIRenderSubWindow 等不同版本类名; 找不到时回退用主窗口矩形计算坐标);
  2. 布局用渲染子窗口相对坐标描述,运行时换算为屏幕绝对坐标;首次运行自动 校准(OCR 检测「搜索/发送」锚点实测比例),保存到 ~/.wechatauto/layout-<机器>.json,之后自动加载、布局漂移自动重校准;
  3. OCR 识别会话列表点击目标(失败走搜索框;生僻字/小字号会话名自动放大 3 倍 + 多轮投票重扫,搜索回退只点联系人、自动排除群聊与群成员预览行);
  4. 扫描输入框白色区定位并聚焦;
  5. 文字以「剪贴板 + Ctrl+V」输入(避免中文输入法拦截),失败回退拼音组合;
  6. OCR 定位「发送」按钮(找不到回退回车键);
  7. verify=True 时用 WeChatDB 读回确认。

文件/图片通过 CF_HDROP 剪贴板 + Ctrl+V 插入草稿再回车发送,绕开自绘 「+ 菜单」定位;回复/艾特分别走悬停 OCR 工具栏与成员弹层 OCR。

from wechatauto.guia import quick_send, quick_send_file
quick_send('你好', '文件传输助手', verify=True)
quick_send_file(r'D:\资料\报告.pdf', '文件传输助手')

注意:OCR 需要系统语言包含中文(Windows.Media.Ocr)。


七、后续路线

  1. 发送功能实测:桌面解锁后校准 guia 各坐标常量,验证文件/图片/回复/艾特;
  2. 视频消息下载增强:微信 4.x 聊天视频存储位置仍需确认(本机无样本);
  3. 性能优化:导出/首扫并行化,内存扫描增量缓存。

八、目录结构

├── wechatauto/
│   ├── wx.py            UIA 自动化入口(4.x 受限)
│   ├── guia.py          ★ 坐标+OCR 发送模块(文本/文件/图片/回复/艾特)
│   ├── db.py            ★ 数据库读取(密钥提取 + 解密 + WAL 合并 + 导出 + 监听)
│   ├── media.py         ★ 媒体下载(图片 v2 解密 / 语音 / 视频 / 文件)
│   ├── moment.py        ★ 朋友圈(MomentDB 数据库路线 + 旧 UIA 兼容)
│   ├── ui/              UI 控件层
│   ├── msgs/            消息模型
│   └── ...
├── demo.py              UI 自动化示例(微信 4.1 上受限)
├── demo_db.py           ★ 数据库读取示例(推荐)
├── demo_guia.py         ★ 坐标+OCR 发送示例
├── demo_listen.py       ★ 实时消息监听示例
├── demo_reply_at.py     ★ 回复/@ 成员实测示例
├── demo_emoji_capture.py ★ 表情消息截图示例
├── docs/技术文档.md      ★ 完整技术文档(架构/原理/API/扩展)
└── pyproject.toml

九、免责声明

本项目仅用于个人学习与自动化研究,请遵守微信软件许可协议及当地法律法规, 勿用于任何违反规定的用途。

注:本库完全由AI(opencode+deepseek-v4-flash)生成


十、联系方式


🇬🇧 English

wechatauto-replica — WeChat 4.x Windows Automation (wxauto-compatible)

PyPI version PyPI downloads Python License GitHub stars

Automate the WeChat 4.x Windows desktop client (not the web version): read messages, listen in real time, download media, export full history, read Moments (朋友圈), and send messages — by driving the local client directly.

Current version: 1.2.2.4 · Windows 10/11 · Python 3.9+ (verified on 3.12) · WeChat 4.1.12+

Why this project exists: the classic wxauto relies on the UI Automation tree, which WeChat 4.x broke with self-drawn rendering (no accessibility nodes). wechatauto-replica is a drop-in-style replacement: messages are read through local database decryption (SQLCipher 4), and sending uses a UIA + OCR hybrid driver that auto-falls back between engines.

Reading encrypted WeChat 4.x databases

Reading the encrypted contact.db / message_*.db / sns.db files directly from xwechat_files/.../db_storage/ — no web API, all local.

✨ Features

Capability Status How
Read messages ✅ verified Local SQLCipher 4 DB decryption (wechatauto/db.py)
Real-time message listening ✅ verified Listener incremental polling, per-chat worker threads
Emoji message capture ✅ verified Screen capture + direction-aware bubble auto-cropping
Full history export ✅ verified JSON / SQLite
Media download (image / voice / file) ✅ verified MediaDownloader: image v2 AES decryption, SILK voice, files
Moments (朋友圈) read ✅ verified Direct sns.db reads (3382 feeds verified)
Multi-account ✅ verified list_accounts() + account=
Send text / file / image / reply / @member ✅ verified UIA-first, coordinate + OCR fallback
Voice call / Poke (拍一拍) ✅ verified UIA buttons + OCR menus
UIAutomation tree ✅ after hot-activation Writes the Qt accessibility gate inside Weixin.dll

🚀 Quick Start

pip install -e .
# extra deps for the OCR sending path:
pip install winsdk pypinyin

Read messages

from wechatauto import WeChatDB

db = WeChatDB()  # auto-detects account & data dir (WeChat must be logged in)

info = db.get_self_info()                    # current account
for s in db.get_sessions(limit=10):          # session list
    print(db.get_nickname(s["username"]), s["unread"])

hits = db.search_contact("Ayi")              # search contacts
for m in db.get_messages("filehelper", limit=10):   # recent messages
    print(m["create_time"], m["sender_id"], m["type"], m["content"])

Send a message

from wechatauto.guia import quick_send, quick_send_file

quick_send("Hello", "filehelper", verify=True)   # verify=True reads back from DB
quick_send_file(r"D:\report.pdf", "filehelper")

Real-time listening

from wechatauto import WeChatDB
from wechatauto.db import Listener

db = WeChatDB()
lst = Listener(db, interval=1.0)
lst.add_listener("filehelper", lambda msg, lst: print("new:", msg["content"]))
lst.start()
# ... your code ...
lst.stop()

Callbacks run on dedicated per-chat worker threads: messages in one chat are processed in order, different chats in parallel; slow callbacks (AI calls, image recognition) never block the poller.

Media & Moments

from wechatauto import WeChatDB, MediaDownloader, MomentDB

db = WeChatDB()
md = MediaDownloader(db)
md.detect_image_key()          # scan process memory for the image AES key (persisted after first hit)
for m in db.get_messages("filehelper", limit=50):
    out = md.download_media("filehelper", m["local_id"])
    if out:
        print("downloaded:", out)

moments = MomentDB(db)
for feed in moments.get_moments(limit=10):
    print(feed["nickname"], feed["text"])
    print("  images:", [i["md5"] for i in feed["images"]])
    print("  likes:", [l["nickname"] for l in feed["likes"]])
    print("  comments:", [(c["nickname"], c["content"]) for c in feed["comments"]])
    # download this feed's pictures & videos (local cache first, then CDN url)
    saved = moments.download_moment_media(feed, save_dir=r"D:\moments")
    print("  saved:", saved)

See wechatauto/demo_moments_download.py for a runnable download demo (python -m wechatauto.demo_moments_download [N] --out 目录).

Like & comment are server-side actions done through the client UI, so they use the UIA-tree route (not the local DB) — WeChat hot-activates the mmui UIA tree, clicks 朋友圈, then acts on UIA feed items:

from wechatauto import WeChat

wx = WeChat()
moments = wx.Moment                 # None if the UIA tree is unavailable
if moments is None:
    raise SystemExit("UIA tree unavailable")
wx.SwitchToMoments()
items = moments.GetMoments()
moments.Like(items[0])                            # thumb up
moments.Like(items[0], cancel=True)               # undo
moments.Comment(items[0], "Nice!")                # comment
moments.Comment(items[0], "Thanks!", reply_to="张三")  # reply

Runnable demo: python -m wechatauto.demo_moments_interact [--like N | --unlike N | --comment N 文字]

⚠️ Comment/reply automation is experimental — testing only. The reply-to-a-comment feature (ReplyComment) locates the comment row on screen via OCR (WeChat's comment area is self-drawn) and then drives the UI to click / paste / send. Layout varies across versions and it is not production-grade — use it only on a test account to validate the pipeline. (plain run lists the latest feeds without touching the UI).

🧠 How It Works

  • Reading — WeChat 4.x stores everything in SQLCipher 4 encrypted SQLite databases under xwechat_files/<wxid>/db_storage/ (contact.db, message_*.db, media_0.db, sns.db, …). Each DB has its own 32-byte key living in the Weixin.exe process memory (com.Tencent.WCDB.Config.Cipher config objects). The library locates them with a read-only memory scan, validates candidates with SQLCipher HMAC rules, decrypts pages to a temp dir and caches the result (first decrypt ~6s, then instant). WAL incremental merging with frame-salt filtering prevents database disk image is malformed corruption.
  • Sending — WeChat 4.x chat UI is self-drawn (no accessibility nodes), so sending uses a hybrid driver: hot-activate the Qt accessibility gate inside Weixin.dll (RVA scan, writes the screen-reader flag) to materialize the mmui::* UIA tree — search box, chat_input_field, etc. Sending is UIA-first, coordinate + OCR fallback: auto-calibrating layout (~/.wechatauto/layout-<machine>.json), zoomed OCR (3x) with multi-round voting for rare Chinese characters, clipboard + Ctrl+V input to dodge IME interception.
  • Media — image .dat files are [6B sig][4B aes_size][4B xor_size] + AES-ECB + plaintext + xor chunks. The account-level AES key is transient (only resident in memory while viewing an image); MediaDownloader scans for it, validates via JPEG/PNG magic, and persists it to image_keys.json so later runs need no scanning (or pass image_key= explicitly). Voice is plain SILK read from media_0.db; files are read from msg/file/ with original names resolved from message_resource.db.

⚖️ vs wxauto

wxauto wechatauto-replica
WeChat 4.x ❌ UIA tree gone → broken ✅ DB decryption + UIA hot-activation
Message reading via UI tree via local DB (full history, faster)
Sending UIA clicks UIA-first + OCR fallback
Media limited image AES decrypt, SILK voice, files
Moments read read (posting dropped: self-drawn UI)

⚠️ Known Limitations

  1. WeChat must be logged in — DB keys live in process memory; cached after first extraction, re-extracted automatically after re-login.
  2. Image AES key is transient — only resident while viewing an image; persisted to image_keys.json once found, or inject via image_key=.
  3. Sending is a GUI operation — fails cleanly when the window is locked/unresponsive (operations return a clear failure).
  4. Videos are downloadable only when the mp4 already exists on disk (msg/video/).
  5. Group-chat image originals are stored locally only after being opened (viewed) in WeChat; until then only the thumbnail (_t.dat) exists — download_image falls back to the thumbnail (marked _thumb in the filename).
  6. Moments posting is dropped (4.x self-drawn UI, unreliable); reading/likes/comments are supported.
  7. Quote-message sending (BETA) goes through a coordinate + OCR + SendInput pipeline that depends on WeChat 4.1.x self-drawn layout; positioning may drift with window size / DPI / chat content — test flow on a throwaway account only.

🗺️ Roadmap

  • Calibrate and verify file/image/reply/@ sending on unlocked desktops
  • Video message download (4.x storage location TBD)
  • Performance: parallel export / first-scan, incremental memory-scan cache

📝 Changelog

v1.2.2.4 (2026-09-18)

  • Fixed: a wrong key form could make an entire message shard unreadable. A cached key could be stored as 48 bytes (32B key + 16B explicit salt), but decryption picks its branch by key length — 48 bytes takes the “plaintext header” branch and produces a file whose header is not SQLite (file is not a database), making that shard (a 96 MB message_0.db in practice) completely unreadable. Three guards now: verify the standard form first when storing (store a bare 32-byte key unless the DB really uses a plaintext header), normalize on read, and auto-correct legacy entries when loading the cache.
  • Fixed: “database merge failed” was raised outright while WeChat keeps writing. The old code wrote decrypt results straight onto the cache file and raised on failure, destroying the last usable copy. Now: build a self-consistent main-DB snapshot as a floor (verified with quick_check, re-read up to 4 times) → then try merging WAL frames on a copy (fall back to the main snapshot with a warning) → all intermediate files are written to a temp path and atomically replaced only on success, so a failure never destroys the previous usable copy.
  • Fixed: leftover cache entries for databases that no longer exist crashed construction (KeyError) — now fully tolerated.
  • Layout: added a phone-style portrait profile (dual profiles wide / portrait), auto-selected by window aspect ratio, each calibrated and stored independently (old flat files migrate automatically). Also fixed session lookup in portrait mode (the name-column filter discarded every session name as an “avatar area”, so find_session always returned None).
  • Cleanup: removed 10 unused imports; added debug logs to 8 silently-swallowing handlers (a probe failure must not masquerade as a normal result); demo_send.py no longer hardcodes another user’s path or a real wxid (default image auto-discovers RWTemp); real wxids in READMEs replaced with placeholders.
  • New tools/selftest.py: read-only self-check (layout / keys / sessions / messages), run in one command.

v1.2.2.3 (2026-09-16)

  • Fixed: constant ~50 MB/s disk read + write while the library runs. The decrypt-cache stamp compared mtimes with exact float equality while writing them with %f (6 decimals) against Windows' 7-decimal mtimes — so every poll (~1s) looked like a changed database and re-decrypted everything (WAL merge + cache rewrite included). Now STAMP_VERSION 3 with %r (exact round-trip): one rebuild after upgrading, then stable.
  • Message reads now LIMIT inside each shard before merging (5.5× on a 48k-message group: 1.053s → 0.191s; get_new_messages ≈6×). Huge chats no longer materialize every shard's rows in Python. Public APIs (get_messages, get_new_messages, get_message_row(..., local_type=), get_message_rows_for_media) keep identical signatures and results (verified across 6 chats × 71 cases).
  • Fixed “cannot get keys” under UTF-8 mode: four tasklist calls decoded GBK output with the default codec; under python -X utf8 / PYTHONUTF8=1 the decode failed, left stdout as None and raised AttributeError, killing key extraction. All four now use encoding="gbk", errors="replace" with a None guard.
  • WeChatUIA.is_running() is now multi-criterion: it used to be one probe wrapped in except → False, so any error silently became “WeChat is not running”. It now checks tasklist / main-window title / psutil, and only writes an explicit stderr note when every probe errors.
  • Real contact/group names removed from demos and docs (replaced with 「文件传输助手」; 「兔仔仔」/「送你挖银子」 kept as sample defaults).

v1.2.2.2 (2026-09-13)

  • Key handling hardened: no more recurring failure after every WeChat update. Three layers:
    • The cache can no longer be wiped: _save_keys() never persists an empty result (atomic write + .bak kept). Previously a transient extraction failure (wrong account / permission) overwrote a good cache with an empty file, so every later start reported "0 keys" — that is exactly the keys cached: 0 seen in the field.
    • Durable key copy: a copy is kept at %LOCALAPPDATA%\wechatauto_keys\<account>.json (override the directory with the WECHATAUTO_KEYS_DIR env var, e.g. your project workspace), surviving TEMP cleanup and WeChat updates. On startup the caches are merged from several locations (durable copy → work cache → .bak → other accounts' caches) and every entry is verified against page-1 HMAC, keeping only working keys.
    • Account selection is now decided by key verification, not by "most recently modified .db" (a WeChat update rewrites every .db, shifting mtimes and picking the wrong account → 0 keys). One memory scan now collects candidate key material and scores every account directory by page-1 HMAC, switching to the one that unlocks (log: 已按密钥校验选定账号目录: …).
  • cfg master-key warning: on WeChat 4.1.13+ the cfg path returns an untrustworthy master key (demoted to a fallback since v1.1.9); it now logs an explicit warning when it cannot reproduce any database key instead of silently succeeding.
  • Better diagnostics (diagnose_keys): now prints the WeChat client FileVersion, per-account "cache / derived" availability and a master-key consistency check (which tells you which account the keys belong to); the _open error text now lists the three classic causes (32-bit Python / permission mismatch / wrong account among several) plus the account= hint.

v1.2.2.1 (2026-09-12)

  • Compatibility with the new WeChat UI (verified on 4.1.13.65): the new build changed AutomationId from short names into dotted paths (old session_list / chat_input_field → new MainView.main_tabbar, MainView….main_window_sub_splitter_view…), which broke exact-equality matching. AutomationIds are now matched as exact / dotted-segment / suffix (_aid_hit()), so both the old short names and the new paths resolve.
  • Relaxed window-title matching: the new main window title is Weixin, and becomes 微信(3) when there are unread counts; _title_is_main() now matches by containment and still rejects unrelated titles such as WeChat.
  • Anchor candidate lists + structural fallbacks: the main window / login window / search box now match against candidate tuples (single-value constants kept for backward compatibility); the search box, chat input and search-result list each gained a structural fallback (an EditControl whose Name contains 搜索, an EditControl inside the chat area, attribute-based search from the root), so a renamed class or AID in a future build no longer breaks the whole path.
  • New layout self-check WeChatUIA.describe_layout(): one call returns the main class name, window title, layout kind (merged / legacy / chat) and the resolution result of every anchor (main_window, search_box, session_list, chat_input, main_tabbar, sns_list). Run it first when a new WeChat build changes the UI.
  • Note: the Moments anchors were already dual-layout (standalone mmui::SNSWindow / merged mmui::SNSContentView); 4.1.13.65 keeps those class names, so no change was needed there.

v1.2.2 (2026-09-12)

  • Fix cross-shard message reads (missing messages / voice): a conversation's Msg_<md5> table actually spans several message_*.db shards, but get_messages only hit the first one — e.g. a chat with 8,904 real messages (24 voice notes) reported just 1. New _find_msg_tables() / _msg_conns() / _shard_rows() merge reads across all shards and sort by sort_seq; get_messages, get_new_messages and _find_media_rows now use the merged view. get_message_row gained a local_type filter (a local_id is not unique across shards) and new get_message_rows_for_media() returns every shard row; media downloaders pass their type code so the right shard row is selected.
  • Reliable listener delivery (behavior change): the watermark now advances only after callbacks succeed (a new _inflight boundary prevents re-dispatching unconfirmed messages), callbacks are retried (max_retries, default 3) before being logged as dropped, and the watermark is persisted to listener_watermark.json. Messages that arrive while your process is down are delivered on the next start instead of being skipped. Pass watermark_file="" to disable persistence.
  • Text restore no longer requires CJK: pure English / digits / URLs / emoji container-format messages are decoded instead of degrading to [文本].
  • Chat.GetNewMessage() no longer drops backlog: batches are pulled until caught up (>200 messages) and the watermark only moves to the last message actually returned, instead of jumping to the newest DB position.
  • UIA materialization self-heal (no child controls after a WeChat restart/upgrade): after a WeChat restart or upgrade the Qt accessibility gate byte resets to 0 and the mmui:: tree degrades to an empty Qt shell (Qt51514QWindowIcon + 2 nodes). The driver now hot-writes the gate, verifies that mmui:: controls actually materialized, and retries other candidate RVAs on failure (the RVA that worked is cached per DLL identity). _get_uia() self-heals on a 30s throttle — no more "one failed wake and OCR forever", and no manual refresh=True. Fallback table gained 4.1.13.65 → 0x0AE2B0C8.
  • Moments scroll-positioning fixes: bounded reversals (at most one per run, then downward-only) and stall detection (the top-cell fingerprint now includes geometry — merged-layout ListItems can share the same Name, which previously looked like a stall and aborted mid-scroll); skip "scroll to top" when the DB ruler says the target is below; the stop criterion is now "the next moment's UIA control appeared"; direction/distance fixes (clipped pixels → wheel notches) plus a bottom margin so the "…" button is reachable.
  • Message type table: 4.x composite local_type is decomposed by its low 32 bits; added 50 音视频通话 (VoIP bubble), 11000 动画表情, 8594229559345 红包 (the library previously mislabeled it as an appmsg/file card via the low-byte mapping); empty bodies (stickers) now show [动画表情] instead of a blank line; demo_group_messages decodes zstd for every type and prints one-line summaries.
  • demo_listen.py --all now auto-discovers new sessions (previously limited to the 30 most recent at startup).
  • New anti-recall listener RecallGuard (BETA): after watch(listener) every new message is mirrored into a local sqlite DB and attachments (image/voice/video/file) are backed up to media/; on a revokemsg it prints [撤回] <revoker> → <original text> and records it in recall_events. Not fully field-tested — shipped as BETA.
  • New MomentObserver (BETA): observe-and-freeze snapshots of Moments cache keys via snapshot() / diff() (cache keys have no derivable mapping to feed md5 and the cache is evictable, so observing is the only way to keep them). Not fully field-tested — shipped as BETA.

v1.2.1 (2026-09-06)

  • New "quote & send" message feature (BETA): WeChatGUI.quote_msg(text, who, target_text=None, verify=False) right-clicks the target message → picks「引用」from the popup menu → types the content → sends; omitting target_text quotes the most recent message. quick_quote() is a one-liner entry point, demo script wechatauto/demo_quote.py.
    • BETA disclaimer: the feature uses a coordinate + OCR + SendInput pipeline that depends on WeChat 4.1.x self-drawn layout; positioning may drift with window size / DPI / chat content. The right-click uses SendInput injection (the render window ignores mouse_event right-clicks), and the cursor is first moved with SetCursorPos before injecting the click to avoid "moves but doesn't click / clicks but doesn't move" drift.
  • Removed the desktop_available() white-pixel screen check: control targeting is fully UIA-based now, so the full-window screenshot white-ratio sampling was dropped — it could falsely report "window not visible" while WeChat was fine. ensure_visible() now treats a live window handle as visible and keeps its "minimize blockers + bring-to-front" actions.

v1.2.0.3 (2026-08-31)

  • Fix WAL-merged database cache corruption causing infinite loop: _check_merged previously used SELECT count(*) FROM sqlite_master which only checks the schema tree — corrupted data pages still passed validation, causing the cache stamp to mark the bad cache as "up-to-date" and every subsequent poll to reuse it, throwing database disk image is malformed on a dead loop. Now uses PRAGMA quick_check for full database validation (data + index pages). New _invalidate_cache() clears all decrypted .db/.stamp files. New _run_msg_query() unified entry point auto-retries once on malformed (clear cache → rebuild → retry). _msg_conn now closes shard connections immediately to avoid Windows file-lock issues during cache cleanup.

v1.2.0 (2026-08-30)

Note: this release merges all changes made after 1.1.10.2 that were not yet published (1.1.10.3 → 1.1.10.7).

  • Smart Moments positioning + auto like: Moment.find_moment(publisher, keyword, ...) uses a hybrid of the DB route (computing the target offset) + UIA route (scrolling by offset) — it derives how many feeds the target is from the current view using the local sns.db ruler, then scrolls adaptively in the correct direction to land on the moment by author/keyword, eliminating blind downward scrolling and false "not found" results.
  • "…" overlay recognition: Moment._locate_more_click / _find_more_button locate the "…" button (bottom-right of a feed) via template matching (light/dark templates shipped in assets/) and click it; if not found it keeps nudging the scroll and retrying to pop up the like/comment overlay.
  • One-shot Like: Moment.LikeMoment(publisher, keyword, ...) does "locate → tap "…" → like in the overlay"; the "赞/Comment" buttons in the overlay are found by a global deep traversal from the UIA root (matching by name) and clicked at their center.
  • Moments like/comment via UIA controls: WeChat now exposes a Moment property and SwitchToMoments() that hot-activate the mmui UIA tree and click the 朋友圈 nav button. Moment.Like(item, cancel=False) and Moment.Comment(item, content, reply_to=None) operate on UIA feed items — likes/comments are server-side actions, so they need the UI (the DB route stays read-only). WeChat.Moment is None when the UIA tree is unavailable. Demo wechatauto/demo_moments_interact.py.
  • Moments media download: new MomentDB.download_media(media, save_dir, kind) copies a single picture/video from the local cache first (byte-for-byte, offline) and falls back to the CDN url; MomentDB.download_moment_media(feed, save_dir, ...) fetches all pictures/videos of one feed into a folder. find_local_media(md5, kind, size) locates the cache file by md5 and, for videos, by totalSize across the whole Sns/Video tree (the video cache name is a content-hash unrelated to the feed md5, so size matching recovers real MP4s). parse_feed now distinguishes pictures vs videos via videomd5/videoDuration/type and records each media's size. Demo wechatauto/demo_moments_download.py.
  • Moments read API (DB route): MomentDB.get_moments() now supports since / until (Unix-seconds time filter) and keyword (text filter), plus limit=0 to return every row. New incremental-sync helpers latest_tid() / get_moments_since() make it easy to poll for new moments. New interaction notifier get_interactions() / interactions_unread_count() read the "likes/comments on my moments" table (SnsMessage_tmp3). New comment_tree() / comment_reply_to() organize a feed's comments into reply chains (built from comment_id/ref_comment_id).
  • Add group name ↔ ID lookup: get_groups() now returns each group's real name (from contact table, falling back to its wxid). New group_name_to_id(name) (exact match first, then substring/fuzzy) and group_id_to_name(chatroom_wxid) let you resolve a group's wxid from its display name and vice versa — handy for combining with get_group_members() and at_member().
  • Add group member enumeration & change watch (read-only, no UI): New WeChatDB.get_groups() / get_group_members(chatroom_wxid) read chat_room + chatroom_member + contact from contact.db to return each group's members (username / nick_name / remark / is_owner). New GroupMemberWatcher (via get_group_member_watcher) snapshots membership and poll() diffs against the baseline to report joined / left members, enabling polling-based membership-change monitoring. Useful together with the existing UI-automation at_member().
  • New runnable demos wechatauto/demo_moment_find.py, demo_moment_more.py, demo_moment_like.py; new deps pyautogui, opencv-python.

v1.1.10.2 (2026-08-30)

  • Fix long text still showing [文本] on fresh installs: add required zstandard dependency: WeChat 4.x stores long-text message_content as a zstd-compressed frame, decoded in _friendly_content via import zstandard. That import silently failed when zstandard was absent (it was not in pyproject.toml required deps), so long text degraded to the [文本] placeholder while listening worked normally. zstandard is now a required dependency; _friendly_content also gained lazy dual-package import (zstandard/zstd) via new _get_zstd_module() / _zstd_decompress() helpers.

v1.1.10.1 (2026-08-29)

  • Fix AttributeError: 'sqlite3.Row' object has no attribute 'get' in message reading: _msg_row_to_dict called .get("compress_content") on a sqlite3.Row, which only supports [] access. Messages whose content stays a placeholder (e.g. emoji/special types) hit this branch and crashed the real-time Listener polling loop. Now uses [] access with a fallback, fixing get_messages / get_new_messages / get_message_row.

v1.1.9 (2026-08-27)

  • Fix key extraction for WeChat 4.1.13+: Prioritized Config.Cipher memory scan over extract_master_key_from_cfg for key extraction. The cfg-based extraction returns incorrect master keys on WeChat 4.1.13.12, while the Config.Cipher scan (which reads raw enc_key values from XOR-decoded blobs) works correctly. This fixes the "0/24 keys verified" issue reported on newer WeChat versions.

v1.1.8 (2026-08-25)

  • Fix missing _derive_xor_key method in MediaDownloader: v1.1.7 release accidentally omitted the _derive_xor_key() method while code paths (_decrypt_v2, detect_image_key) still referenced it, causing AttributeError when decrypting images. Restored the method for XOR key derivation from thumbnail _t.dat / _h.dat files.
  • Fix group-chat sender_id → sender_username resolution: Listener callbacks now receive sender_username (wxid format) in the message dict, resolved from message_resource.SenderName2Id mapping. Previously, sender_id was a numeric ID that could not be used directly with search_contact().
  • Thanks uiharukazari0105 for reporting the missing _derive_xor_key issue in v1.1.7.

v1.1.6.1 (2026-08-20)

  • PyPI description fix: v1.1.6 was uploaded without the synced README_pypi.md (description still showed 1.1.5.1); this patch restores the full v1.1.6 changelog and bumps the version marker.

v1.1.6 (2026-08-20)

  • Auto-diagnosis on missing key: 数据库无可用密钥 now runs a built-in check before raising — Python bitness (32-bit can't read 64-bit Weixin memory), per-PID OpenProcess/ReadProcessMemory permission, and multi-account mismatch (all wxid_* dirs vs. picked account, suggesting WeChatDB(account=...)). No need to run diagnose_keys first.
  • New diagnostic tool: wechatauto/diagnose_keys.py (python -m wechatauto.diagnose_keys, WeChat logged in) dumps lib version, Python bitness, Weixin PIDs with per-process read-permission checks, all accounts vs. picked account, cached keys, fresh in-memory extraction, and key verification — paste the output when reporting key-extraction failures.
  • Skip migrate\unspportmsg.db: WeChat's reserved "unsupported message" DB has no in-memory key and is never queried; it was forcing a full process-memory scan on every init.

v1.1.5.1 (2026-08-18) — beta

  • Fix real-time listening: WeChatDB.get_new_messages() referenced an undefined found (NameError swallowed by Listener._poll_once), so no message callbacks ever fired — including first messages from contacts you had never chatted with.
  • Dynamic message shards: _message_dbs() now re-scans the disk so shards WeChat creates at runtime (e.g. message_5.db) are picked up and their keys extracted automatically.

v1.1.5 (2026-08-18)

  • Version cleanup: normalized the patch version (1.1.4.2 → 1.1.5) after the media_*.db voice fix.

v1.1.4.2 (2026-08-18)

  • PyPI description cleanup: removed the demo default-group changelog line from the PyPI description.

v1.1.4.1 (2026-08-18)

  • PyPI readme bilingual: merged the Chinese (README.zh-CN.md) and English (README.md) into one PyPI description so the Chinese version is visible on the package page.

v1.1.4 (2026-08-18)

  • Voice download across all media databases: download_voice() now searches every media_*.db (not just media_0.db) — WeChat shards voice data across multiple media DBs; previously voices stored in media_1.db etc. could not be found (thanks uiharukazari0105).
  • demo_media.py --images N: download the latest N images of a chat directly from the DB (by local_type), bypassing the total-message --limit — no more "only a few images listed" when a group has thousands of messages.
  • WeChatDB._find_media_rows(user, types): new helper returning all media local_ids of a chat for a set of local_types (batch download).
  • Group-chat image thumbnail fallback: original images in group chats are only downloaded after being opened in WeChat; download_image now falls back to the thumbnail (_t.dat) when the original is missing, saving it with a _thumb suffix.

v1.1.3 (2026-08-17)

v1.1.2 (2026-08-16)

  • UIA driver thread-safety: WeChatUIA now initializes COM on the current thread (CoInitializeEx, idempotent) — fixes crashes when instantiated from background threads / host apps (e.g. WeChatBot) with "CoInitialize not called / cannot load UIAutomationCore.dll" errors.
  • Main-window filtering: only windows whose process loaded Weixin.dll are considered — auxiliary processes without the DLL (whose hot-activation always fails) no longer produce noise warnings.
  • Forward-voice fix: Chat.ForwardVoiceMessage uses self when no target is given (the previous _cur() could resolve the wrong chat).
  • Re-entrant UI lock: LockManager is now re-entrant per thread — @uilock functions calling each other (e.g. ForwardVoiceMessage → VoiceMessage.forward_to) no longer deadlock.

v1.1.1 (2026-08-16)

  • Recall last message (Chat.RecallLastMessage / uia_driver.recall_last_message): right-click the latest own message → UIA-first menu-item click (mmui::XMenuView found inside the main-window subtree), OCR fallback; fails cleanly when the 2-minute recall window has passed (menu only shows "Delete").
  • UIA robustness: menu-item lookup scoped to the main-window subtree (avoids the Windows UIA root-traversal hang), removed the fragile WindowControl(ClassName=...) fallback.
  • Media fix: video id bytes→str decoding in MediaDownloader.
  • demo_media.py --photos default 3 → 10.

v1.1.0 (2026-08-15)

  • Image AES key auto-capture (media.py): the V2 image key is only resident in memory while viewing an image (~5 min). _scan_aes_key() gained a monitor mode — polls continuously and persists the key to image_keys.json once found; users just open one image to finish setup.
  • Fixed the process-ordering scan bug (removed the memory-usage sort that pushed the main process last).
  • Forward voice messages: SILK extraction from media_0.db + file-message send (demo_forward_voice.py).
  • New demos: demo_group_messages.py (group + red-packet ZSTD parsing), demo_robust.py.

🤝 Acknowledgments

Thanks to vesio for sharing the WeChat 4.1.12 UIA control-tree approach and debugging ideas in issue #1 — it made the UIA hybrid driver (v1.0.8) possible.

Thanks to nanshanjack for finding the UI-lock re-entrancy problem (fixed in v1.1.2).

Thanks to maozhitao12450 for reporting the WXAM (wxgf) image download issue (fixed in v1.1.3).

Thanks to uiharukazari0105 for finding that voice data stored in media_1.db (and later) was never searched (fixed in v1.1.4).

📄 License & Disclaimer

Apache-2.0. This project is for personal learning and automation research only — please respect the WeChat software license agreement and applicable laws.

Contact: fanyuantaier@163.com

Release files for wechatauto-replica 1.2.2.4

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