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medical_training/apps/case/services/case_writer.py
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2026-06-12 17:19:23 +08:00

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"""病例落库 / 完整结构组装的共享逻辑。
`/api/case/cases/full-create`(业务域)与 `/api/cms/cases/`CMS 内容管理)共用同一套
创建与序列化逻辑,避免两处实现漂移。
"""
from django.db import transaction
from config.exceptions import AppError
from ..models import (
CaseBase, TraditionalCase, TeachingCase, ScoringRule, CaseExamItem,
)
from .department_resolver import resolve_department
from .exam_items import (
normalize_exam_items, assert_no_duplicate_exam_items, EXAM_ITEM_FIELDS,
)
TRADITIONAL_FIELDS = {'standard_diagnosis', 'standard_treatment', 'guideline_reference'}
TEACHING_FIELDS = {'teaching_goal', 'discussion_questions', 'teacher_guide', 'scoring_focus'}
SCORING_RULE_FIELDS = {
'dimension', 'competency_dimension', 'score_weight',
'ai_auto_score', 'osce_dimension', 'scoring_standard', 'rubric_json',
}
CASE_BASE_FIELDS = {
'title', 'case_type', 'difficulty', 'difficulty_score',
'chief_complaint', 'description', 'patient_age', 'patient_gender',
'tags', 'symptom_tags', 'disease_tags', 'competency_tags',
'guideline_tags', 'knowledge_points', 'icd_codes',
'estimated_minutes', 'osce_enabled', 'rag_enabled',
'ai_prompt_template', 'multimodal_assets',
}
def validate_scoring_rules(rules):
if not isinstance(rules, list):
raise AppError('CASE_VALIDATION_ERROR', 'scoring_rules 必须为数组', status_code=400)
for i, rule in enumerate(rules):
if not isinstance(rule, dict):
raise AppError('CASE_VALIDATION_ERROR', f'scoring_rules[{i}] 必须为对象', status_code=400)
if not rule.get('dimension'):
raise AppError('CASE_VALIDATION_ERROR', f'scoring_rules[{i}].dimension 必填', status_code=400)
weight = rule.get('score_weight')
if weight is not None:
try:
weight = float(weight)
except (TypeError, ValueError):
raise AppError('CASE_VALIDATION_ERROR', f'scoring_rules[{i}].score_weight 须为数字', status_code=400)
if weight <= 0 or weight > 1:
raise AppError('CASE_VALIDATION_ERROR', f'scoring_rules[{i}].score_weight 须在 (0, 1]', status_code=400)
_UNSET = object()
def create_case_full(data, user, institution=_UNSET):
"""主表 + 子表 + scoring_rules(≥1) + exam_items 同一事务入库。
institution:病例所属机构;默认取创建者所属机构(`user.institution`)。
返回 (case, scoring_rule_count, exam_item_count)。校验失败抛 AppError。
"""
if institution is _UNSET:
institution = getattr(user, 'institution', None)
case_type = data.get('case_type', '')
if case_type not in ('traditional', 'teaching'):
raise AppError('CASE_TYPE_NOT_SUPPORTED', f'case_type 不支持: {case_type}', status_code=400)
if 'stages' in data:
raise AppError('CASE_FIELD_NOT_ALLOWED', '本接口不接收 stages 字段', status_code=400)
sub_data = data.get(case_type)
other_type = 'teaching' if case_type == 'traditional' else 'traditional'
if not sub_data:
raise AppError('CASE_SUBTYPE_REQUIRED', f'{case_type} 子表数据缺失', status_code=400)
if data.get(other_type):
raise AppError('CASE_SUBTYPE_CONFLICT', '不允许同时传入两种子表数据', status_code=400)
scoring_rules_data = data.get('scoring_rules', [])
if not scoring_rules_data:
raise AppError('CASE_VALIDATION_ERROR', 'scoring_rules 必填且至少 1 条', status_code=400)
validate_scoring_rules(scoring_rules_data)
exam_items_data = normalize_exam_items(data.get('exam_items') or [])
assert_no_duplicate_exam_items(exam_items_data)
department = resolve_department(data.get('department_name', ''))
with transaction.atomic():
case_kwargs = {k: data[k] for k in CASE_BASE_FIELDS if k in data}
case_kwargs['department'] = department
case_kwargs['institution'] = institution
case_kwargs['created_by'] = user
case_kwargs['status'] = 1
case_kwargs['vector_status'] = 0
case_kwargs['publish_status'] = 1 if data.get('auto_publish') else 0
case = CaseBase.objects.create(**case_kwargs)
sub_model = TraditionalCase if case_type == 'traditional' else TeachingCase
allowed_sub = TRADITIONAL_FIELDS if case_type == 'traditional' else TEACHING_FIELDS
sub_model.objects.create(case=case, **{k: v for k, v in sub_data.items() if k in allowed_sub})
rule_objs = [
ScoringRule(case=case, **{k: v for k, v in rule.items() if k in SCORING_RULE_FIELDS})
for rule in scoring_rules_data
]
ScoringRule.objects.bulk_create(rule_objs)
if exam_items_data:
exam_objs = [
CaseExamItem(case=case, **{k: v for k, v in item.items() if k in EXAM_ITEM_FIELDS})
for item in exam_items_data
]
CaseExamItem.objects.bulk_create(exam_objs)
return case, len(rule_objs), len(exam_items_data)
def build_full_response(case):
"""组装病例完整结构(主表 + 子表 + scoring_rules + exam_items)。"""
if hasattr(case, '_prefetched_objects_cache') and 'exam_items' in getattr(
case, '_prefetched_objects_cache', {}
):
exam_qs = case.exam_items.all()
else:
exam_qs = CaseExamItem.objects.filter(case_id=case.id).order_by('display_order', 'id')
result = {
'case': {
'id': case.id,
'title': case.title,
'case_type': case.case_type,
'difficulty': case.difficulty,
'difficulty_score': case.difficulty_score,
'institution': case.institution_id,
'institution_name': case.institution.name if case.institution else None,
'department': case.department_id,
'department_name': case.department.name if case.department else None,
'chief_complaint': case.chief_complaint,
'description': case.description,
'patient_age': case.patient_age,
'patient_gender': case.patient_gender,
'tags': case.tags,
'symptom_tags': case.symptom_tags,
'disease_tags': case.disease_tags,
'competency_tags': case.competency_tags,
'guideline_tags': case.guideline_tags,
'knowledge_points': case.knowledge_points,
'icd_codes': case.icd_codes,
'estimated_minutes': case.estimated_minutes,
'osce_enabled': case.osce_enabled,
'rag_enabled': case.rag_enabled,
'ai_prompt_template': case.ai_prompt_template,
'multimodal_assets': case.multimodal_assets,
'vector_status': case.vector_status,
'publish_status': case.publish_status,
'status': case.status,
'created_by': case.created_by_id,
'created_by_name': case.created_by.real_name if case.created_by else None,
'created_at': case.created_at.isoformat() if case.created_at else None,
'updated_at': case.updated_at.isoformat() if case.updated_at else None,
},
}
if case.case_type == 'traditional':
try:
tc = case.traditionalcase
result['traditional'] = {
'standard_diagnosis': tc.standard_diagnosis,
'standard_treatment': tc.standard_treatment,
'guideline_reference': tc.guideline_reference,
}
except TraditionalCase.DoesNotExist:
result['traditional'] = None
elif case.case_type == 'teaching':
try:
tc = case.teachingcase
result['teaching'] = {
'teaching_goal': tc.teaching_goal,
'discussion_questions': tc.discussion_questions,
'teacher_guide': tc.teacher_guide,
'scoring_focus': tc.scoring_focus,
}
except TeachingCase.DoesNotExist:
result['teaching'] = None
rules = case.scoring_rules.all().order_by('id')
result['scoring_rules'] = [
{
'id': r.id,
'dimension': r.dimension,
'competency_dimension': r.competency_dimension,
'score_weight': float(r.score_weight),
'ai_auto_score': r.ai_auto_score,
'osce_dimension': r.osce_dimension,
'scoring_standard': r.scoring_standard,
'rubric_json': r.rubric_json,
}
for r in rules
]
result['exam_items'] = [
{
'id': e.id,
'item_code': e.item_code,
'item_name': e.item_name,
'item_type': e.item_type,
'category': e.category,
'result_text': e.result_text,
'result_structured': e.result_structured,
'is_key': e.is_key,
'is_abnormal': e.is_abnormal,
'score_weight': float(e.score_weight),
'display_order': e.display_order,
}
for e in exam_qs
]
return result