59 lines
4.4 KiB
Python
59 lines
4.4 KiB
Python
from pathlib import Path
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import hashlib
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import json
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import shutil
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folder = Path(__file__).parent
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root = Path('C:/wechat_rpa')
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read = lambda name: json.loads((folder / name).read_text(encoding='utf-8-sig'))
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plan = read('review-voice-release-plan.json')
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tests = read('frozen-review-voice-tests.json')
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notifications = read('frozen-review-voice-notifications.json')
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frozen = read('frozen-release-qa.json')
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integrity = read('nsis-payload-integrity.json')
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asr = read('frozen-offline-asr.json')
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assert plan['finalized'] and plan['version'] == '1.4.27'
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assert tests['tests_run'] > 0 and not any(tests[k] for k in ('failures', 'errors', 'skipped', 'blocked_external_actions'))
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assert notifications['ok'] and notifications['passed'] == plan['notificationExpectedTests']
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assert not notifications['skipped'] and not notifications['blocked_external_actions']
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assert frozen['sourceManifestMatches'] and frozen['privateFilesExcluded'] and frozen['uiAssetsMatchSource']
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assert integrity['crcPassed'] and integrity['completeDeflateStream'] and not integrity['missingFiles']
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assert asr['ok'] and len(asr['results']) == 3
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assert not asr['site_packages_leaks'] and not asr['escaped_dlls']
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for name, digest in read('build-source-manifest.json').items():
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assert hashlib.sha256((root / name).read_bytes()).hexdigest() == digest, name
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old = root / 'releases/甄AI客服-安装包-v1.4.26.exe'
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assert hashlib.sha256(old.read_bytes()).hexdigest() == plan['previousInstallerSha256']
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installer = root / 'dist/installer/甄AI客服-安装包-v1.4.27.exe'
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release = root / 'releases' / installer.name
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digest = hashlib.sha256(installer.read_bytes()).hexdigest()
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assert digest == integrity['installerSha256']
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if release.exists():
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assert hashlib.sha256(release.read_bytes()).hexdigest() == digest
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else:
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shutil.copy2(installer, release)
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assert hashlib.sha256(release.read_bytes()).hexdigest() == digest
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report = {'version': '1.4.27', 'installer': str(release), 'bytes': release.stat().st_size,
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'sha256': digest, 'frozenRegressionTests': tests['tests_run'],
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'frozenNotificationTests': notifications['passed'], 'frozenAsrFormats': 3,
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'realMessagesSent': 0, 'existingSettingsChanged': False, 'installed': False,
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'cloudDeploymentNeeded': False, 'oldInstallerPreserved': True}
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(folder / 'release-v1.4.27.json').write_text(json.dumps(report, ensure_ascii=False, indent=2), encoding='utf-8')
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(folder / 'RESULT.md').write_text(f'''# 审核提醒、人工完成与语音转文字 v1.4.27
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待审核和需人工（包括模型失败、媒体无法读取、发送失败、回执待核对）统一进入绑定医疗助理提醒链路；相同待处理会话复用提醒，不重复发送结果未知的通知。当前托管账号直接回复客户后核验账号、会话、服务器消息及发送日志，任务显示“人工已完成”。旧 AI 草稿作废，后续来信重新生成并逐条风控；回复提醒本身不审批客户任务。
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语音优先读取当前账号精确服务器消息 ID 对应的企业微信转写缓存；缺失时，仅对该消息精确引用的本账号本地音频进行离线识别。模型及 SILK/AMR/WAV 解码组件已内置，不运行时下载模型或上传音频。文字与同批补充内容共同进入问答和风控。转写变动时旧草稿和批准失效，重新生成。
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索引与识别在后台执行。等待语音的任务让出主循环，其他会话继续处理；语音等待和人工状态持久化，数据库暂时繁忙或重启不会绕过等待/人工处理。180 秒仍未取得文字或识别失败时转需人工并提醒。没有本机音频且无转写缓存时不会编造语音内容。
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最终源码集成 700 项通过。实际 EXE 内冻结模块回归 {tests['tests_run']} 项、提醒回归 {notifications['passed']} 项通过；实际包内依赖及模型对三格式合成中文音频离线识别成功，无构建环境依赖回退。安装包 CRC、压缩流、全部文件哈希及私有文件排除检查通过。
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安装包：`{release}`
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SHA256：`{digest}`
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两目录已定向修复；生产版本为 1.4.27，视觉源码目录保留自己的版本序列。旧 1.4.26 安装包保留。未自动安装、重启、修改用户配置/队列或发送真实消息；无需管理端部署。退出托盘中的旧客户端后安装新版并重新打开。现有绑定收件人和开启状态不自动更改。
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''', encoding='utf-8')
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print(json.dumps(report, ensure_ascii=False))
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