82 lines
4.5 KiB
Python
82 lines
4.5 KiB
Python
"""Synthetic queue snapshots for voice progress and human-completed work."""
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import json
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from pathlib import Path
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import tempfile
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import time
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from unittest import TestCase, mock
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from PySide6.QtWidgets import QApplication
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import wechat_gui_qt as qt
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import test_desktop_review_visibility as helpers
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from review_state import pending_attention_counts
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class ReviewVoiceUiTests(TestCase):
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@classmethod
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def setUpClass(cls):
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cls.app=QApplication.instance() or QApplication([])
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def setUp(self):
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self.log_temp=tempfile.TemporaryDirectory()
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self.addCleanup(self.log_temp.cleanup)
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self.enterContext(mock.patch('queue_log.application_data_dir',return_value=Path(self.log_temp.name)))
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helpers.DesktopReviewTest.setUp(self)
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def seed_voice(self, **extra):
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state={'created_at':time.time(),'stage_started_at':time.time(),'display_name':'合成语音客户',
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'stage':'voice_transcribing','detected_by':'protocol_db','confirmed_unread':True,
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'staged_user_text':'[合成语音]','manual_required':False,'awaiting_review':False}
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state.update(extra)
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self.path.write_text(json.dumps({'pending':{'voice':state}}),encoding='utf-8')
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self.page.refresh_data()
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return state
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def test_voice_processing_filter_and_snapshot_do_not_claim_ai_generation_or_human_work(self):
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state=self.seed_voice()
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self.page._set_task_filter('处理中')
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people=self.host._console_people()
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self.assertEqual([person['key'] for person in people],['voice'])
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task=self.host._console_task(people)
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self.assertEqual(task['action'],'语音转文字')
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self.assertEqual(task['confidence'],'转文字中')
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self.assertEqual(task['steps'][1],['语音转文字','进行中'])
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self.assertFalse(task['needsHuman']);self.assertFalse(task['awaitingReview']);self.assertFalse(task['canApprove'])
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self.assertEqual(pending_attention_counts({'voice':state}),{'review':0,'human':0,'total':0})
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metrics=self.host._console_metrics(people,[])
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self.assertEqual(metrics['human'],'0');self.assertEqual(metrics['review'],'0')
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self.assertEqual(self.page.band_processing.text(),'1')
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self.assertEqual(self.page.detail_action.text(),'语音转文字')
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def test_failed_voice_moves_to_manual_filter_and_cannot_approve_empty_reply(self):
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self.seed_voice(stage='error',manual_required=True,manual_reason='合成语音无法转文字')
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self.page._set_task_filter('需人工')
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people=self.host._console_people();task=self.host._console_task(people)
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self.assertEqual([person['key'] for person in people],['voice'])
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self.assertTrue(task['needsHuman']);self.assertFalse(task['canApprove'])
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self.assertEqual(self.host._console_metrics(people,[])['human'],'1')
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def test_human_completed_event_does_not_increment_ai_sent_count(self):
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from queue_log import QueueLog
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self.seed_voice(stage='error',manual_required=True,manual_reason='合成需人工')
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QueueLog().append('voice','合成客户','人工已完成','已核验同账号人工回复')
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self.path.write_text(json.dumps({'pending':{}}),encoding='utf-8')
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self.page.refresh_data()
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self.assertEqual(self.host._console_people(),[])
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metrics=self.host._console_metrics([],[])
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self.assertEqual(metrics['human'],'0');self.assertEqual(metrics['review'],'0')
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self.assertEqual(self.page.sent_metric.value.text(),'0')
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action=self.page.history_table.item(0,2)
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self.assertEqual(action.text(),'人工已完成')
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self.assertEqual(action.foreground().color().name(),qt.COLORS['success'].lower())
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def test_human_completion_log_is_successful_recognition_not_automatic_send(self):
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for marker in ('[协议人工已完成]','[人工已完成]','[协议已审核]','[已审核]'):
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with self.subTest(marker=marker):
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title,status,tone,category=qt.LogPage._classify_log(marker+' 合成客户 · 已人工回复，本轮旧AI草稿已丢弃','info')
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self.assertEqual((title,status,tone,category),('人工已完成','完成','success','识别'))
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def test_voice_progress_and_failure_logs_keep_distinct_tones(self):
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self.assertEqual(qt.LogPage._classify_log('[协议处理] 合成客户 · 语音转文字','info'),
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('语音转文字','进行中','blue','识别'))
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self.assertEqual(qt.LogPage._classify_log('语音转文字失败，需人工处理','err')[2],'warning')
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