创赢未来评分系统 - 初始化提交(移除大文件)
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爽哒哒
2026-03-18 22:28:45 +08:00
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import uuid
from django.db import models
from django.utils.translation import gettext_lazy as _
class TranscriptionTask(models.Model):
class Status(models.TextChoices):
PENDING = 'PENDING', _('等待中')
PROCESSING = 'PROCESSING', _('处理中')
SUCCEEDED = 'SUCCEEDED', _('成功')
FAILED = 'FAILED', _('失败')
id = models.UUIDField(primary_key=True, default=uuid.uuid4, editable=False)
file_url = models.URLField(verbose_name=_('文件链接'), max_length=1024)
task_id = models.CharField(verbose_name=_('听悟任务ID'), max_length=100, blank=True, null=True)
status = models.CharField(
verbose_name=_('状态'),
max_length=20,
choices=Status.choices,
default=Status.PENDING
)
# 存储阿里云听悟返回的原始 JSON 结构
transcription_data = models.JSONField(verbose_name=_('转写原始数据'), blank=True, null=True, help_text=_('阿里云返回的Transcription完整JSON'))
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'))
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'))
project = models.ForeignKey(
'competition.Project',
on_delete=models.SET_NULL,
null=True,
blank=True,
related_name='transcription_tasks',
verbose_name=_('关联参赛项目')
)
transcription = models.TextField(verbose_name=_('逐字稿'), blank=True, null=True)
summary = models.TextField(verbose_name=_('AI总结'), 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)
class Meta:
verbose_name = _('转写任务')
verbose_name_plural = _('转写任务')
ordering = ['-created_at']
def __str__(self):
return f"{self.id} - {self.get_status_display()}"
class AIEvaluationTemplate(models.Model):
name = models.CharField(verbose_name=_('模板名称'), max_length=100, help_text=_('例如:销售话术评分、逻辑性分析'))
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""evaluation"字段。',
help_text=_('用于指导AI评分的提示词')
)
score_dimension = models.ForeignKey(
'competition.ScoreDimension',
on_delete=models.SET_NULL,
null=True,
blank=True,
verbose_name=_('关联评分维度'),
help_text=_('如果同步到比赛评分,优先使用此维度。未填写则默认使用"AI Rating"或包含"AI"的维度')
)
is_default = models.BooleanField(
verbose_name=_('是否为默认模板'),
default=False,
help_text=_('默认模板会评价所有比赛,非默认模板且未关联评分维度时不会自动评价')
)
is_active = models.BooleanField(verbose_name=_('是否启用'), default=True, help_text=_('启用后,新的转写任务完成后将自动使用此模板进行评估'))
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评估模板')
verbose_name_plural = _('AI评估模板')
ordering = ['-created_at']
def __str__(self):
return self.name
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.ForeignKey(
TranscriptionTask,
on_delete=models.CASCADE,
related_name='ai_evaluations',
verbose_name=_('关联任务')
)
template = models.ForeignKey(
AIEvaluationTemplate,
on_delete=models.SET_NULL,
null=True,
blank=True,
related_name='evaluations',
verbose_name=_('使用的模板')
)
# 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)
# 记录当时的配置 (快照)
model_selection = models.CharField(
verbose_name=_('模型选择'),
max_length=50,
default='qwen-plus'
)
prompt = models.TextField(verbose_name=_('评分提示词'))
# 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评估结果')
verbose_name_plural = _('AI评估结果')
ordering = ['-created_at']
def __str__(self):
return f"Evaluation for Task {self.task.id} ({self.template.name if self.template else 'Custom'})"