"""Synthetic queue snapshots for voice progress and human-completed work."""
import json
from pathlib import Path
import tempfile
import time
from unittest import TestCase, mock

from PySide6.QtWidgets import QApplication
import wechat_gui_qt as qt
import test_desktop_review_visibility as helpers
from review_state import pending_attention_counts


class ReviewVoiceUiTests(TestCase):
    @classmethod
    def setUpClass(cls):
        cls.app=QApplication.instance() or QApplication([])

    def setUp(self):
        self.log_temp=tempfile.TemporaryDirectory()
        self.addCleanup(self.log_temp.cleanup)
        self.enterContext(mock.patch('queue_log.application_data_dir',return_value=Path(self.log_temp.name)))
        helpers.DesktopReviewTest.setUp(self)

    def seed_voice(self, **extra):
        state={'created_at':time.time(),'stage_started_at':time.time(),'display_name':'合成语音客户',
               'stage':'voice_transcribing','detected_by':'protocol_db','confirmed_unread':True,
               'staged_user_text':'[合成语音]','manual_required':False,'awaiting_review':False}
        state.update(extra)
        self.path.write_text(json.dumps({'pending':{'voice':state}}),encoding='utf-8')
        self.page.refresh_data()
        return state

    def test_voice_processing_filter_and_snapshot_do_not_claim_ai_generation_or_human_work(self):
        state=self.seed_voice()
        self.page._set_task_filter('处理中')
        people=self.host._console_people()
        self.assertEqual([person['key'] for person in people],['voice'])
        task=self.host._console_task(people)
        self.assertEqual(task['action'],'语音转文字')
        self.assertEqual(task['confidence'],'转文字中')
        self.assertEqual(task['steps'][1],['语音转文字','进行中'])
        self.assertFalse(task['needsHuman']);self.assertFalse(task['awaitingReview']);self.assertFalse(task['canApprove'])
        self.assertEqual(pending_attention_counts({'voice':state}),{'review':0,'human':0,'total':0})
        metrics=self.host._console_metrics(people,[])
        self.assertEqual(metrics['human'],'0');self.assertEqual(metrics['review'],'0')
        self.assertEqual(self.page.band_processing.text(),'1')
        self.assertEqual(self.page.detail_action.text(),'语音转文字')

    def test_failed_voice_moves_to_manual_filter_and_cannot_approve_empty_reply(self):
        self.seed_voice(stage='error',manual_required=True,manual_reason='合成语音无法转文字')
        self.page._set_task_filter('需人工')
        people=self.host._console_people();task=self.host._console_task(people)
        self.assertEqual([person['key'] for person in people],['voice'])
        self.assertTrue(task['needsHuman']);self.assertFalse(task['canApprove'])
        self.assertEqual(self.host._console_metrics(people,[])['human'],'1')

    def test_human_completed_event_does_not_increment_ai_sent_count(self):
        from queue_log import QueueLog
        self.seed_voice(stage='error',manual_required=True,manual_reason='合成需人工')
        QueueLog().append('voice','合成客户','人工已完成','已核验同账号人工回复')
        self.path.write_text(json.dumps({'pending':{}}),encoding='utf-8')
        self.page.refresh_data()
        self.assertEqual(self.host._console_people(),[])
        metrics=self.host._console_metrics([],[])
        self.assertEqual(metrics['human'],'0');self.assertEqual(metrics['review'],'0')
        self.assertEqual(self.page.sent_metric.value.text(),'0')
        action=self.page.history_table.item(0,2)
        self.assertEqual(action.text(),'人工已完成')
        self.assertEqual(action.foreground().color().name(),qt.COLORS['success'].lower())

    def test_human_completion_log_is_successful_recognition_not_automatic_send(self):
        for marker in ('[协议人工已完成]','[人工已完成]','[协议已审核]','[已审核]'):
            with self.subTest(marker=marker):
                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')
                self.assertEqual((title,status,tone,category),('人工已完成','完成','success','识别'))

    def test_voice_progress_and_failure_logs_keep_distinct_tones(self):
        self.assertEqual(qt.LogPage._classify_log('[协议处理] 合成客户 · 语音转文字','info'),
                         ('语音转文字','进行中','blue','识别'))
        self.assertEqual(qt.LogPage._classify_log('语音转文字失败，需人工处理','err')[2],'warning')