tingwu_new
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@@ -127,6 +127,10 @@ class BailianService:
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evaluation.reasoning = response_content
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evaluation.save()
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# 同步结果到参赛项目 (如果关联了)
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self._sync_evaluation_to_project(evaluation)
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return evaluation
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except Exception as e:
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@@ -136,6 +140,103 @@ class BailianService:
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evaluation.save()
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return evaluation
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def _sync_evaluation_to_project(self, evaluation: AIEvaluation):
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"""
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将AI评估结果同步到关联的参赛项目(评分和评语)
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"""
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try:
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task = evaluation.task
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if not task.project:
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return
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project = task.project
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competition = project.competition
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# 1. 确定评委身份 (Based on Template)
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# 用户要求:评委显示的是模板名称
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template_name = evaluation.template.name if evaluation.template else "AI智能评委"
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# 使用固定前缀 + template_id 确保唯一性,这样同一个模板在不同项目里是同一个评委
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openid = f"ai_judge_{evaluation.template.id}" if evaluation.template else "ai_judge_default"
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# 延迟导入以避免循环依赖
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from shop.models import WeChatUser
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from competition.models import CompetitionEnrollment, Score, Comment, ScoreDimension
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# 获取或创建虚拟评委用户
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user, created = WeChatUser.objects.get_or_create(
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openid=openid,
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defaults={
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'nickname': template_name,
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'avatar_url': 'https://ui-avatars.com/api/?name=AI&background=random&color=fff'
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}
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)
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# 如果名字不匹配(比如模板改名了),更新它
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if user.nickname != template_name:
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user.nickname = template_name
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user.save(update_fields=['nickname'])
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# 2. 确保评委已报名 (Enrollment)
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enrollment, _ = CompetitionEnrollment.objects.get_or_create(
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competition=competition,
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user=user,
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defaults={
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'role': 'judge',
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'status': 'approved'
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}
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)
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# 3. 同步评分 (Score)
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if evaluation.score is not None:
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# 尝试找到匹配的维度
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# 优先级:完全匹配模板名称 > 包含"AI"的维度 > 第一个维度
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dimensions = competition.score_dimensions.all()
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target_dimension = None
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for dim in dimensions:
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if dim.name == template_name:
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target_dimension = dim
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break
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if not target_dimension:
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for dim in dimensions:
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if "AI" in dim.name.upper():
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target_dimension = dim
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break
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# 如果还是没找到,尝试创建一个默认的 "AI评分" 维度?
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# 或者使用第一个维度。考虑到用户说"对应的AI评分",如果没有对应的,可能需要创建一个?
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# 为了安全起见,如果找不到明确的AI维度,且存在维度,就用第一个;否则不评分。
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if not target_dimension and dimensions.exists():
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target_dimension = dimensions.first()
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if target_dimension:
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Score.objects.update_or_create(
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project=project,
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judge=enrollment,
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dimension=target_dimension,
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defaults={'score': evaluation.score}
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)
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logger.info(f"Synced AI score {evaluation.score} to project {project.id} dimension {target_dimension.name}")
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# 4. 同步评语 (Comment)
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if evaluation.evaluation:
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# 检查是否已存在该评委的评语,避免重复
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comment = Comment.objects.filter(project=project, judge=enrollment).first()
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if comment:
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comment.content = evaluation.evaluation
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comment.save()
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else:
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Comment.objects.create(
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project=project,
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judge=enrollment,
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content=evaluation.evaluation
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)
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logger.info(f"Synced AI comment to project {project.id}")
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except Exception as e:
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logger.error(f"Failed to sync evaluation to project: {e}")
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def summarize_task(self, task):
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"""
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对转写任务进行总结
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@@ -0,0 +1,20 @@
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# Generated by Django 6.0.1 on 2026-03-11 14:10
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import django.db.models.deletion
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from django.db import migrations, models
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class Migration(migrations.Migration):
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dependencies = [
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('ai_services', '0005_aievaluationtemplate_alter_aievaluation_options_and_more'),
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('competition', '0003_competition_project_visibility'),
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]
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operations = [
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migrations.AddField(
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model_name='transcriptiontask',
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name='project',
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field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='transcription_tasks', to='competition.project', verbose_name='关联参赛项目'),
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),
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]
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@@ -23,6 +23,15 @@ class TranscriptionTask(models.Model):
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summary_data = models.JSONField(verbose_name=_('总结原始数据'), blank=True, null=True, help_text=_('阿里云返回的Summarization完整JSON'))
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auto_chapters_data = models.JSONField(verbose_name=_('章节原始数据'), blank=True, null=True, help_text=_('阿里云返回的AutoChapters完整JSON'))
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project = models.ForeignKey(
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'competition.Project',
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on_delete=models.SET_NULL,
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null=True,
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blank=True,
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related_name='transcription_tasks',
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verbose_name=_('关联参赛项目')
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)
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transcription = models.TextField(verbose_name=_('逐字稿'), blank=True, null=True)
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summary = models.TextField(verbose_name=_('AI总结'), blank=True, null=True)
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