74 lines
2.3 KiB
Python
74 lines
2.3 KiB
Python
# from datetime import datetime,timedelta
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# from app import db
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# from app.models import BagRecord
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# from sqlalchemy.exc import SQLAlchemyError
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# from sqlalchemy import func
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# def add():
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# new_record = BagRecord(
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# bag_name="sensor_data_2025.bag",
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# collection_time=datetime(2025, 5, 1, 12, 1, 1),
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# bag_state=0,
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# frames=120,
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# car_state=1,
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# address="beijing",
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# collect_month=5
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# )
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# db.session.add(new_record)
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# db.session.commit() # 提交事务 [1,7](@ref)
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# def create_record(data):
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# """创建新记录"""
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# try:
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# # 转换日期类型字段
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# if 'collection_time' in data:
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# data['collection_time'] = datetime.fromisoformat(data['collection_time'])
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# if 'parse_time' in data:
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# data['parse_time'] = datetime.fromisoformat(data['parse_time'])
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# record = BagRecord(**data)
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# db.session.add(record)
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# db.session.commit()
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# return record
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# except SQLAlchemyError as e:
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# db.session.rollback()
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# raise e
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# def get_record_by_id(record_id):
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# """根据ID获取记录"""
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# return BagRecord.query.get(record_id)
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# def get_all_records(**filters):
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# """获取所有记录（支持过滤）"""
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# query = BagRecord.query
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# if filters:
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# query = query.filter_by(**filters)
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# return query.all()
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# def get_daily_counts(start_date, end_date):
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# # 执行 SQL 查询，按日期分组并统计数量
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# query = (
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# db.session.query(
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# db.func.date(BagRecord.collection_time).label('date'),
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# db.func.count(BagRecord.id).label('count')
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# )
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# .filter(BagRecord.collection_time >= start_date)
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# .filter(BagRecord.collection_time <= end_date + timedelta(days=1)) # 包含结束日期
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# .group_by(db.func.date(BagRecord.collection_time))
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# .order_by(db.func.date(BagRecord.collection_time))
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# )
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# print(query.all())
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# # 将结果转换为字典列表
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# results = []
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# for date, count in query.all():
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# results.append({
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# 'date': str(date), # 将日期对象转换为字符串
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# 'count': count
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# })
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# return results
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