初始化项目

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2026-06-02 17:46:38 +08:00
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import random
from typing import Union, Optional, Callable
import pandas as pd
from sqlalchemy import select, delete
from tornado_swagger.model import register_swagger_model
from paste.core.logging import echo_log
from paste.util.pagination import Pagination
import models
from models.common_model import CommonModel
from models.db_models import TD3iGovsPushStatu
class GovsPushStatuBase(TD3iGovsPushStatu, CommonModel):
"""
推送状态基础类(完全映射 TD3iGovsPushStatu 字段)。
封装所有与推送OA状态相关的通用操作方法。
"""
# 无字段名映射需求,保持原样
FieldMapping = {}
@classmethod
async def exist_other(cls, id: Union[str, int], govs_task_id: Union[str, int]):
"""
检查是否存在除当前记录外的其他同任务ID的推送状态记录。
:param id: 当前记录ID
:param govs_task_id: 任务ID(唯一标志)
:return: 存在返回记录对象,不存在返回None
"""
_query = select(cls).where(cls.id != id, cls.master_id == govs_task_id)
_record: cls = await cls.query_first(_query)
return _record
@classmethod
async def find_by_ids(cls, ids: list[Union[str, int]]):
"""
根据ID列表批量查找推送状态数据。
"""
_query = select(cls).where(cls.id.in_(ids))
_record_list: list[cls] = (await cls.orm_execute_scalars(_query)).all()
return _record_list
@classmethod
async def is_exist(cls, govs_task_id: Union[str, int]):
"""
检查推送状态是否已经存在(根据任务ID)。
"""
_query = select(cls).where(cls.master_id == govs_task_id)
_record: cls = await cls.query_first(_query)
return _record
@classmethod
async def search_base(cls, is_paging=True, **kwargs):
"""
按参数搜索推送状态数据的基础方法。
支持字段:
- govs_task_id, push_order_status, push_order_detail_status, ...
- 不支持模糊匹配(均为整型状态码)
:param is_paging: 是否分页
:param kwargs: 查询参数
:key int page_number: 页码(缺省随机1~100
:key int page_size: 每页数量(缺省20
:key dict sort_clause: 排序配置,如 {'updated_at': 'desc'}
:key int govs_task_id: 精确匹配任务ID
:key int push_order_status: 精确匹配推送待办工单状态
:key int push_order_attachment_status: 精确匹配附件状态
:key int push_order_detail_status: 精确匹配扩展信息状态
:key int push_order_process_status: 精确匹配文件上传状态
:return: (DataFrame, Pagination)
"""
page_number = kwargs.get('page_number', random.randint(1, 100))
page_size = kwargs.get('page_size', 20)
kwargs.update({'page_number': page_number, 'page_size': page_size})
# 无模糊字段,仅精确匹配
_query = select(cls).where(
*cls.search_wheres(**kwargs)
)
_paging = None
if is_paging:
_row_count = await cls.query_count(_query)
_paging = Pagination(_row_count).paging(page_number, page_size)
_data_query = _query.limit(page_size).offset(_paging.offset_size)
else:
_data_query = _query.where()
_sort_clause = cls.sort_clauses(kwargs.get('sort_clause', {}))
if _sort_clause:
_data_query = _data_query.order_by(*_sort_clause)
else:
_data_query = _data_query.order_by(cls.updated_at.desc())
_record_df = await cls.query_as_df(_data_query)
if not _record_df.empty:
_record_df.replace(models.EmptyInDF + models.EmptyDatetimeInDF, '', inplace=True)
return _record_df, _paging
@classmethod
async def search(cls, **kwargs):
"""
按参数搜索推送状态数据,返回分页格式数据。
"""
_record_df, _paging = await cls.search_base(**kwargs)
return {
'total': _paging.row_count,
'rows': _record_df.to_dict('records'),
'pagination': {
'page_number': _paging.page_number,
'page_count': _paging.page_count,
'page_size': _paging.page_size,
},
}
@classmethod
async def exists_relation(cls, data_df: pd.DataFrame):
"""
查找 data_df 中在数据库中已存在和不存在的记录。根据 govs_task_id 判断。
:param data_df: 输入的数据框架,必须包含 govs_task_id 列
:return: (exists_df: pd.DataFrame, latest_df: pd.DataFrame)
- exists_df: 在数据库中存在的记录
- latest_df: 在数据库中不存在的记录
"""
if data_df.empty:
return pd.DataFrame(), pd.DataFrame()
# 获取待查询的 govs_task_id 组合
task_ids = data_df[cls.master_id.key].unique().tolist()
if not task_ids:
return pd.DataFrame(), data_df.copy()
# 查询数据库中已存在的记录
_query = select(cls.id, cls.master_id).where(cls.master_id.in_(task_ids))
exists_df = await cls.query_as_df(_query)
exists_df[cls.master_id.key] = exists_df[cls.master_id.key].astype(str)
if exists_df.empty:
return pd.DataFrame(), data_df.copy()
# 构建 govs_task_id -> id 的映射
key_to_id_map = dict(zip(exists_df[cls.master_id.key], exists_df[cls.id.key]))
# 根据 govs_task_id 是否在数据库中划分数据
mask_exists = data_df[cls.master_id.key].isin(exists_df[cls.master_id.key])
exists_df = data_df[mask_exists].copy()
exists_df[cls.id.key] = exists_df[cls.master_id.key].map(key_to_id_map)
latest_df = data_df[~mask_exists].copy()
return exists_df, latest_df
@register_swagger_model
class GovsPushStatus(GovsPushStatuBase):
"""
推送状态业务模型类(主业务类,完全继承 TD3iGovsPushStatu 字段)。
"""
@classmethod
async def create(cls, **kwargs):
"""
创建新的推送状态记录。
业务流程:
1. 使用 kwargs 直接构造对象(无需表单验证,因无前端交互)
2. 检查是否已存在相同任务ID的记录(避免重复)
3. 创建新记录对象
4. 设置创建者和更新者为 'D3I'
5. 保存到数据库
6. 返回创建的对象
:param kwargs: 推送状态参数字典
:return: 新建推送状态对象
:rtype: TD3iGovsPushStatu
:raises AssertionError: 当记录已存在时抛出
"""
# 处理字符串字段去除空格
for _k, _v in kwargs.items():
if isinstance(_v, str):
kwargs[_k] = _v.strip()
# 检查是否已存在同任务ID的记录
_record: cls = await cls.is_exist(kwargs.get('govs_task_id'))
assert _record is None, "相同任务ID的推送状态已存在,不能重复创建。"
# 创建记录对象
_record = cls().copy_from_dict(kwargs, skip_none=True).before_save()
# 强制设置创建者和更新者为 'D3I'
_record.created_by = 'D3I'
_record.updated_by = 'D3I'
await _record.async_save()
return _record
@classmethod
async def delete(cls, id: Union[str, int]):
"""
删除推送状态记录(软删除,不实际删除,仅用于逻辑隔离)。
注意:此系统建议保留历史记录,删除操作仅为标记。
业务流程:
1. 根据ID查找记录
2. 验证存在性
3. 执行物理删除(因无软删除字段,此处直接删除)
:param id: 要删除的记录ID
:return: 删除的记录ID
:rtype: int
:raises AssertionError: 当记录不存在时抛出
"""
_record: cls = await cls.async_find_by_id(id)
assert _record, f"根据 ID {id} 未找到推送状态记录。"
# 执行物理删除
_del_query = delete(cls).where(cls.id == id)
_del_count = (await cls.raw_execute(_del_query)).rowcount
echo_log(f'已删除推送状态记录(ID{id}.')
return _del_count
@classmethod
async def modify(cls, id: Union[str, int], **kwargs):
"""
修改已有推送状态信息。
注意:仅允许更新状态码字段,不允许修改 id、created_at、created_by 等系统字段。
业务流程:
1. 处理字符串字段去除空格
2. 查询原记录
3. 验证存在性
4. 更新允许字段
5. 设置 updated_by = 'D3I'
6. 保存到数据库
7. 返回更新后的对象
:param id: 要修改的记录ID
:param kwargs: 需要更新的字段(仅限状态字段)
:return: 修改后的推送状态对象
:rtype: GovsPushStatus
:raises AssertionError: 当记录不存在时抛出
"""
# 处理字符串字段去除空格
for _k, _v in kwargs.items():
if isinstance(_v, str):
kwargs[_k] = _v.strip()
# 查询原记录
_record: cls = await cls.async_find_by_id(id)
assert _record, f"根据 ID {id} 未找到推送状态记录。"
# 允许更新的字段(仅状态码)
allowed_fields = {
'push_order_status',
'push_order_detail_status',
'push_order_attachment_status',
'push_order_process_status'
}
# 过滤合法字段
update_data = {k: v for k, v in kwargs.items() if k in allowed_fields and v is not None}
if not update_data:
return _record
# 更新字段
_record.copy_from_dict(update_data, skip_none=True)
_record.updated_by = 'D3I'
await _record.async_save()
return _record
@classmethod
async def create_batch(cls, data_df: pd.DataFrame):
"""
批量创建新推送状态记录(传入数据应为全新记录,无需校验是否存在)。
:param data_df: 包含推送状态数据的 DataFrame,字段需与模型属性匹配(如 govs_task_id, push_order_status 等)
:return: 成功创建的记录数量
:rtype: int
"""
if data_df.empty:
return 0
# 一次性转为字典列表(C 层高效)
records = data_df.to_dict('records')
# 用列表推导式构造对象
records = [
cls().copy_from_dict(record, skip_none=True).before_save()
for record in records
]
# 批量插入
session = cls.get_aio_session()
try:
session.add_all(records)
await session.commit()
except Exception as e:
await session.rollback()
raise e
finally:
await session.close()
echo_log(f"批量创建成功:创建 {len(records)} 条推送状态记录。")
return len(records)
@classmethod
async def modify_batch(cls, data_df: pd.DataFrame):
"""
批量修改已有推送状态记录。
:param data_df: 包含推送状态数据的 DataFrame,必须包含 id 列
:return: 成功更新的记录数量
:rtype: int
"""
if data_df.empty:
return 0
# 必须包含 id 列
if 'id' not in data_df.columns:
echo_log(f"错误:modify_batch 要求输入数据必须包含 '{cls.id.key}' 列(主键)")
return 0
# 转换为字典列表
update_data = data_df.to_dict('records')
# 使用 bulk_update_mappings
session = cls.get_aio_session()
try:
await session.run_sync(
lambda sync_session: sync_session.bulk_update_mappings(cls, update_data)
)
await session.commit()
updated_count = len(update_data)
except Exception as e:
await session.rollback()
raise e
finally:
await session.close()
echo_log(f"批量修改成功:更新 {updated_count} 条推送状态记录。")
return updated_count
@classmethod
async def save_batch(cls, data_df: pd.DataFrame):
"""
批量保存数据,自动处理新建和更新。
:param data_df: 要保存的数据框架
:return 新建和更新的数量
"""
# 筛选数据状态
_exists_df, _latest_df = await GovsPushStatus.exists_relation(data_df)
# 保存到数据库
_created_count = await GovsPushStatus.create_batch(_latest_df)
_updated_count = await GovsPushStatus.modify_batch(_exists_df)
return _created_count, _updated_count
@classmethod
async def set_push_order_status(cls, govs_task_id: Union[str, int], status: int = 1):
govs_task: cls = await cls(master_id=govs_task_id).async_find_first()
if govs_task:
govs_task.push_order_status = status
else:
govs_task = cls(master_id=govs_task_id, push_order_status=status)
# 保存数据
await govs_task.async_save()
@classmethod
async def set_push_order_detail_status(cls, govs_task_id: Union[str, int], status: int = 1):
govs_task: cls = await cls(master_id=govs_task_id).async_find_first()
if govs_task:
govs_task.push_order_detail_status = status
else:
govs_task = cls(master_id=govs_task_id, push_order_detail_status=status)
# 保存数据
await govs_task.async_save()
@classmethod
async def set_push_order_attachment_status(cls, govs_task_id: Union[str, int], status: int = 1):
govs_task: cls = await cls(master_id=govs_task_id).async_find_first()
if govs_task:
govs_task.push_order_attachment_status = status
else:
govs_task = cls(master_id=govs_task_id, push_order_attachment_status=status)
# 保存数据
await govs_task.async_save()
@classmethod
async def set_push_order_process_status(cls, govs_task_id: Union[str, int], status: int = 1):
govs_task: cls = await cls(master_id=govs_task_id).async_find_first()
if govs_task:
govs_task.push_order_process_status = status
else:
govs_task = cls(master_id=govs_task_id, push_order_process_status=status)
# 保存数据
await govs_task.async_save()