tingwu_new

backend/ai_services/admin.py

@@ -1,7 +1,16 @@
 from django.contrib import admin
-from django.contrib.admin import ModelAdmin
 from unfold.admin import ModelAdmin as UnfoldModelAdmin
-from .models import TranscriptionTask
+from unfold.admin import StackedInline as UnfoldStackedInline
+from .models import TranscriptionTask, AIEvaluation
+
+class AIEvaluationInline(UnfoldStackedInline):
+    model = AIEvaluation
+    extra = 0
+    can_delete = False
+    verbose_name = "AI评估"
+    verbose_name_plural = "AI评估"
+    readonly_fields = ['created_at', 'updated_at', 'raw_response', 'reasoning']
+    fields = ('score', 'evaluation', 'model_selection', 'prompt', 'reasoning', 'status', 'error_message')
 
 @admin.register(TranscriptionTask)
 class TranscriptionTaskAdmin(UnfoldModelAdmin):
@@ -9,3 +18,24 @@ class TranscriptionTaskAdmin(UnfoldModelAdmin):
     list_filter = ['status', 'created_at']
     search_fields = ['id', 'task_id', 'transcription', 'summary']
     readonly_fields = ['id', 'created_at', 'updated_at', 'task_id']
+    inlines = [AIEvaluationInline]
+
+@admin.register(AIEvaluation)
+class AIEvaluationAdmin(UnfoldModelAdmin):
+    list_display = ['id', 'task', 'score', 'status', 'model_selection', 'created_at']
+    list_filter = ['status', 'model_selection', 'created_at']
+    search_fields = ['task__id', 'evaluation', 'reasoning']
+    readonly_fields = ['id', 'created_at', 'updated_at', 'raw_response']
+    fieldsets = (
+        (None, {
+            'fields': ('task', 'status', 'score', 'evaluation')
+        }),
+        ('配置', {
+            'fields': ('model_selection', 'prompt'),
+            'classes': ('collapse',),
+        }),
+        ('调试信息', {
+            'fields': ('raw_response', 'reasoning', 'error_message'),
+            'classes': ('collapse',),
+        }),
+    )

backend/ai_services/bailian_service.py

@@ -0,0 +1,98 @@
+import logging
+import json
+import os
+from django.conf import settings
+from openai import OpenAI
+from .models import AIEvaluation
+
+logger = logging.getLogger(__name__)
+
+class BailianService:
+    def __init__(self):
+        self.api_key = getattr(settings, 'DASHSCOPE_API_KEY', None)
+        if not self.api_key:
+             self.api_key = os.environ.get("DASHSCOPE_API_KEY")
+        
+        if self.api_key:
+            self.client = OpenAI(
+                api_key=self.api_key,
+                base_url="https://dashscope.aliyuncs.com/compatible-mode/v1"
+            )
+        else:
+            self.client = None
+            logger.warning("DASHSCOPE_API_KEY not configured.")
+
+    def evaluate_task(self, evaluation: AIEvaluation):
+        """
+        执行AI评估
+        """
+        if not self.client:
+            evaluation.status = AIEvaluation.Status.FAILED
+            evaluation.error_message = "服务未配置 (DASHSCOPE_API_KEY missing)"
+            evaluation.save()
+            return
+
+        task = evaluation.task
+        if not task.transcription:
+             evaluation.status = AIEvaluation.Status.FAILED
+             evaluation.error_message = "关联任务无逐字稿内容"
+             evaluation.save()
+             return
+
+        evaluation.status = AIEvaluation.Status.PROCESSING
+        evaluation.save()
+
+        try:
+            prompt = evaluation.prompt
+            content = task.transcription
+            
+            # 截断过长的内容以防止超出Token限制 (简单处理，取前10000字)
+            if len(content) > 10000:
+                content = content[:10000] + "...(内容过长已截断)"
+
+            # Construct messages
+            messages = [
+                {'role': 'system', 'content': 'You are a helpful assistant designed to output JSON.'},
+                {'role': 'user', 'content': f"{prompt}\n\n以下是需要评估的内容：\n{content}"}
+            ]
+
+            completion = self.client.chat.completions.create(
+                model=evaluation.model_selection,
+                messages=messages,
+                response_format={"type": "json_object"} 
+            )
+            
+            response_content = completion.choices[0].message.content
+            # Convert to dict for storage
+            raw_response = completion.model_dump()
+            
+            evaluation.raw_response = raw_response
+            
+            # Parse JSON
+            try:
+                result = json.loads(response_content)
+                evaluation.score = result.get('score')
+                evaluation.evaluation = result.get('evaluation') or result.get('comment')
+                
+                # 尝试获取推理过程（如果模型返回了）
+                evaluation.reasoning = result.get('reasoning') or result.get('analysis')
+                
+                if not evaluation.reasoning:
+                     # 如果JSON里没有，把整个JSON作为推理参考
+                     evaluation.reasoning = json.dumps(result, ensure_ascii=False, indent=2)
+
+                evaluation.status = AIEvaluation.Status.COMPLETED
+            except json.JSONDecodeError:
+                evaluation.status = AIEvaluation.Status.FAILED
+                evaluation.error_message = f"无法解析JSON响应: {response_content}"
+                evaluation.reasoning = response_content 
+            
+            evaluation.save()
+            return evaluation
+
+        except Exception as e:
+            logger.error(f"AI Evaluation failed: {e}")
+            evaluation.status = AIEvaluation.Status.FAILED
+            evaluation.error_message = str(e)
+            evaluation.save()
+            return evaluation

backend/ai_services/migrations/0004_remove_transcriptiontask_evaluation_and_more.py

@@ -0,0 +1,44 @@
+# Generated by Django 6.0.1 on 2026-03-11 12:44
+
+import django.db.models.deletion
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('ai_services', '0003_transcriptiontask_auto_chapters_data_and_more'),
+    ]
+
+    operations = [
+        migrations.RemoveField(
+            model_name='transcriptiontask',
+            name='evaluation',
+        ),
+        migrations.RemoveField(
+            model_name='transcriptiontask',
+            name='score',
+        ),
+        migrations.CreateModel(
+            name='AIEvaluation',
+            fields=[
+                ('id', models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
+                ('score', models.IntegerField(blank=True, help_text='0-100分', null=True, verbose_name='AI评分')),
+                ('evaluation', models.TextField(blank=True, null=True, verbose_name='AI评语')),
+                ('model_selection', models.CharField(default='qwen-plus', help_text='例如: qwen-plus, qwen-turbo, qwen-max', max_length=50, verbose_name='模型选择')),
+                ('prompt', models.TextField(default='你是一个专业的评分助手。请根据提供的转写内容，对内容质量、逻辑清晰度、语言表达等方面进行综合评分（0-100分），并给出详细的评语。请以JSON格式返回，包含"score"和"evaluation"字段。', help_text='用于指导AI评分的提示词', verbose_name='评分提示词')),
+                ('raw_response', models.JSONField(blank=True, help_text='大模型返回的完整JSON', null=True, verbose_name='原始响应')),
+                ('reasoning', models.TextField(blank=True, help_text='AI的推理过程（如果有）', null=True, verbose_name='推理过程')),
+                ('status', models.CharField(choices=[('PENDING', '等待中'), ('PROCESSING', '生成中'), ('COMPLETED', '已完成'), ('FAILED', '失败')], default='PENDING', max_length=20, verbose_name='评估状态')),
+                ('error_message', models.TextField(blank=True, null=True, verbose_name='错误信息')),
+                ('created_at', models.DateTimeField(auto_now_add=True, verbose_name='创建时间')),
+                ('updated_at', models.DateTimeField(auto_now=True, verbose_name='更新时间')),
+                ('task', models.OneToOneField(on_delete=django.db.models.deletion.CASCADE, related_name='ai_evaluation', to='ai_services.transcriptiontask', verbose_name='关联任务')),
+            ],
+            options={
+                'verbose_name': 'AI智能评估',
+                'verbose_name_plural': 'AI智能评估',
+                'ordering': ['-created_at'],
+            },
+        ),
+    ]

backend/ai_services/models.py

@@ -25,8 +25,11 @@ class TranscriptionTask(models.Model):
     
     transcription = models.TextField(verbose_name=_('逐字稿'), blank=True, null=True)
     summary = models.TextField(verbose_name=_('AI总结'), blank=True, null=True)
-    score = models.IntegerField(verbose_name=_('AI评分'), blank=True, null=True, help_text=_('基于转写内容的评分'))
+    
-    evaluation = models.TextField(verbose_name=_('AI评语'), blank=True, null=True)
+    # 已解耦到 AIEvaluation 模型
+    # score = models.IntegerField(verbose_name=_('AI评分'), blank=True, null=True, help_text=_('基于转写内容的评分'))
+    # evaluation = models.TextField(verbose_name=_('AI评语'), blank=True, null=True)
+    
     error_message = models.TextField(verbose_name=_('错误信息'), blank=True, null=True)
     created_at = models.DateTimeField(verbose_name=_('创建时间'), auto_now_add=True)
     updated_at = models.DateTimeField(verbose_name=_('更新时间'), auto_now=True)
@@ -38,3 +41,58 @@ class TranscriptionTask(models.Model):
 
     def __str__(self):
         return f"{self.id} - {self.get_status_display()}"
+
+
+class AIEvaluation(models.Model):
+    class Status(models.TextChoices):
+        PENDING = 'PENDING', _('等待中')
+        PROCESSING = 'PROCESSING', _('生成中')
+        COMPLETED = 'COMPLETED', _('已完成')
+        FAILED = 'FAILED', _('失败')
+
+    task = models.OneToOneField(
+        TranscriptionTask, 
+        on_delete=models.CASCADE, 
+        related_name='ai_evaluation',
+        verbose_name=_('关联任务')
+    )
+    
+    # 评分与评语
+    score = models.IntegerField(verbose_name=_('AI评分'), blank=True, null=True, help_text=_('0-100分'))
+    evaluation = models.TextField(verbose_name=_('AI评语'), blank=True, null=True)
+    
+    # 配置选项 (可在Admin中设置)
+    model_selection = models.CharField(
+        verbose_name=_('模型选择'), 
+        max_length=50, 
+        default='qwen-plus', 
+        help_text=_('例如: qwen-plus, qwen-turbo, qwen-max')
+    )
+    prompt = models.TextField(
+        verbose_name=_('评分提示词'), 
+        default='你是一个专业的评分助手。请根据提供的转写内容，对内容质量、逻辑清晰度、语言表达等方面进行综合评分（0-100分），并给出详细的评语。请以JSON格式返回，包含"score"和"evaluation"字段。',
+        help_text=_('用于指导AI评分的提示词')
+    )
+    
+    # 原始数据与推理
+    raw_response = models.JSONField(verbose_name=_('原始响应'), blank=True, null=True, help_text=_('大模型返回的完整JSON'))
+    reasoning = models.TextField(verbose_name=_('推理过程'), blank=True, null=True, help_text=_('AI的推理过程（如果有）'))
+    
+    status = models.CharField(
+        verbose_name=_('评估状态'), 
+        max_length=20, 
+        choices=Status.choices, 
+        default=Status.PENDING
+    )
+    error_message = models.TextField(verbose_name=_('错误信息'), blank=True, null=True)
+    
+    created_at = models.DateTimeField(verbose_name=_('创建时间'), auto_now_add=True)
+    updated_at = models.DateTimeField(verbose_name=_('更新时间'), auto_now=True)
+
+    class Meta:
+        verbose_name = _('AI智能评估')
+        verbose_name_plural = _('AI智能评估')
+        ordering = ['-created_at']
+
+    def __str__(self):
+        return f"Evaluation for Task {self.task.id}"

backend/ai_services/serializers.py

@@ -1,11 +1,18 @@
 from rest_framework import serializers
-from .models import TranscriptionTask
+from .models import TranscriptionTask, AIEvaluation
+
+class AIEvaluationSerializer(serializers.ModelSerializer):
+    class Meta:
+        model = AIEvaluation
+        fields = ['id', 'score', 'evaluation', 'model_selection', 'prompt', 'reasoning', 'status', 'error_message', 'created_at', 'updated_at']
 
 class TranscriptionTaskSerializer(serializers.ModelSerializer):
+    ai_evaluation = AIEvaluationSerializer(read_only=True)
+
     class Meta:
         model = TranscriptionTask
-        fields = ['id', 'file_url', 'task_id', 'status', 'transcription', 'summary', 'error_message', 'created_at', 'updated_at', 'score', 'evaluation', 'transcription_data', 'summary_data', 'auto_chapters_data']
+        fields = ['id', 'file_url', 'task_id', 'status', 'transcription', 'summary', 'error_message', 'created_at', 'updated_at', 'transcription_data', 'summary_data', 'auto_chapters_data', 'ai_evaluation']
-        read_only_fields = ['id', 'file_url', 'task_id', 'status', 'transcription', 'summary', 'error_message', 'created_at', 'updated_at', 'score', 'evaluation', 'transcription_data', 'summary_data', 'auto_chapters_data']
+        read_only_fields = ['id', 'file_url', 'task_id', 'status', 'transcription', 'summary', 'error_message', 'created_at', 'updated_at', 'transcription_data', 'summary_data', 'auto_chapters_data', 'ai_evaluation']
 
 class TranscriptionUploadSerializer(serializers.Serializer):
     file = serializers.FileField(help_text="上传的音频文件")

backend/ai_services/services.py

@@ -291,7 +291,30 @@ class AliyunTingwuService:
         # 保存原始数据
         task.auto_chapters_data = auto_chapters
         
-        # (可选) 将章节信息追加到 summary 或 evaluation 中，或者仅保存 raw data
+        # 将章节信息追加到 summary
-        # 根据用户需求，这里主要保存到 model 的 auto_chapters_data 字段 (已在 models.py 定义)
+        if auto_chapters and isinstance(auto_chapters, list):
+            if summary_text:
+                summary_text.append("\n\n### 章节速览")
+            else:
+                summary_text.append("### 章节速览")
+                
+            for chapter in auto_chapters:
+                headline = chapter.get('Headline', '')
+                summary = chapter.get('Summary', '')
+                start_time = chapter.get('Start', 0)
+                
+                # 格式化时间戳 (毫秒 -> HH:MM:SS)
+                seconds = int(start_time / 1000)
+                m, s = divmod(seconds, 60)
+                h, m = divmod(m, 60)
+                time_str = f"{h:02d}:{m:02d}:{s:02d}"
+                
+                chapter_text = f"- [{time_str}] {headline}"
+                if summary:
+                    chapter_text += f"\n  {summary}"
+                summary_text.append(chapter_text)
+
+        if summary_text:
+            task.summary = "\n".join(summary_text)
         
         task.save()

backend/ai_services/views.py

@@ -7,8 +7,8 @@ from rest_framework.parsers import MultiPartParser, FormParser, JSONParser
 from rest_framework.permissions import AllowAny
 from django.conf import settings
 from drf_spectacular.utils import extend_schema, OpenApiParameter, OpenApiTypes
-from .models import TranscriptionTask
+from .models import TranscriptionTask, AIEvaluation
-from .serializers import TranscriptionTaskSerializer, TranscriptionUploadSerializer
+from .serializers import TranscriptionTaskSerializer, TranscriptionUploadSerializer, AIEvaluationSerializer
 from .services import AliyunTingwuService
 
 logger = logging.getLogger(__name__)
@@ -143,6 +143,51 @@ class TranscriptionTaskViewSet(viewsets.ModelViewSet):
             logger.error(f"处理上传请求失败: {e}")
             return Response({'error': str(e)}, status=status.HTTP_500_INTERNAL_SERVER_ERROR)
 
+    @action(detail=True, methods=['post'])
+    @extend_schema(
+        request={
+            'application/json': {
+                'type': 'object',
+                'properties': {
+                    'model_selection': {'type': 'string', 'description': '模型选择'},
+                    'prompt': {'type': 'string', 'description': '评分提示词'},
+                }
+            }
+        },
+        responses={200: AIEvaluationSerializer}
+    )
+    def evaluate(self, request, pk=None):
+        """
+        触发AI评估
+        """
+        task = self.get_object()
+        
+        # 1. 检查或创建 Evaluation 对象
+        evaluation, created = AIEvaluation.objects.get_or_create(task=task)
+        
+        # 2. 如果请求中有配置，更新配置
+        model_selection = request.data.get('model_selection')
+        prompt = request.data.get('prompt')
+        
+        updated = False
+        if model_selection:
+            evaluation.model_selection = model_selection
+            updated = True
+        if prompt:
+            evaluation.prompt = prompt
+            updated = True
+            
+        if updated:
+            evaluation.save()
+            
+        # 3. 调用 Service 执行评估
+        from .bailian_service import BailianService
+        service = BailianService()
+        service.evaluate_task(evaluation)
+        
+        serializer = AIEvaluationSerializer(evaluation)
+        return Response(serializer.data)
+
     @action(detail=True, methods=['get'])
     @extend_schema(
         parameters=[

backend/config/settings.py

@@ -414,3 +414,5 @@ ALIYUN_OSS_BUCKET_NAME = os.environ.get('ALIYUN_OSS_BUCKET_NAME', '')
 ALIYUN_OSS_ENDPOINT = os.environ.get('ALIYUN_OSS_ENDPOINT', 'oss-cn-shanghai.aliyuncs.com')
 ALIYUN_OSS_INTERNAL_ENDPOINT = os.environ.get('ALIYUN_OSS_INTERNAL_ENDPOINT', '')
 ALIYUN_TINGWU_APP_KEY = os.environ.get('ALIYUN_TINGWU_APP_KEY', '')  # 听悟AppKey
+
+DASHSCOPE_API_KEY = os.environ.get('DASHSCOPE_API_KEY', '')

backend/requirements.txt

@@ -28,3 +28,4 @@ aliyun-python-sdk-core==2.16.0
 aliyun-python-sdk-tingwu==1.0.7
 oss2==2.19.1
 python-dotenv
+openai