925 lines
32 KiB
Python
925 lines
32 KiB
Python
"""FluentQuery 兼容层查询构建器
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提供 SQLAlchemy 风格的链式 OOP 查询接口，包装 Django QuerySet。
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核心类：
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- ``FluentQuery`` — 链式查询构建器，由 ``Model.query`` 返回
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- ``Session`` — 简易会话管理（add/commit/rollback）
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- ``_CompatFunc`` — 兼容层聚合函数（func.sum / func.count 等）
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- ``db`` — 全局数据库操作入口（db.session / db.or_ / db.and_）
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典型用法::
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from gvsdsdk.fluent import db, func, FQ
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# 链式查询
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orders = Dingdan.query.filter(zhuangtai=8).order_by('-create_time').to_list()
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# 字段表达式
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Dingdan.query.filter(Dingdan.jine > 100, Dingdan.zhuangtai.in_([1,2,3]))
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# 聚合
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Dingdan.query.aggregate(total=Sum('jine'))
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# values / annotate
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Dingdan.query.values('zhuangtai').annotate(cnt=Count('id'))
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# 分页
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Dingdan.query.paginate(page=1, per_page=20)
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# 兼容层聚合函数
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func.sum(Dingdan.jine)
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func.count(Dingdan.id)
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func.year(Dingdan.create_time)
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"""
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from __future__ import annotations
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import logging
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import threading
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from typing import Any, Dict, Generic, Iterator, List, Optional, Sequence, Tuple, Type, TypeVar, Union
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from django.db import connection as default_db_connection, models, transaction
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from django.db.models import Q, F, Count, Sum, Avg, Min, Max, Subquery, OuterRef, Case, When, Value
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logger = logging.getLogger(__name__)
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_local = threading.local()
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#: 模型类型变量，用于 FluentQuery[_M] 泛型参数
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_M = TypeVar('_M', bound=models.Model)
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def _get_field_expression_cls():
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"""延迟导入 FieldExpression，避免 fluent ↔ model_base 循环依赖。"""
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from gvsdsdk.model_base import FieldExpression
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return FieldExpression
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# ---------------------------------------------------------------------------
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# 兼容层聚合函数
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# ---------------------------------------------------------------------------
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class _AggregateExpr:
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"""聚合表达式包装，关联模型类和 Django Aggregate 对象。"""
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def __init__(self, model: Optional[Type[models.Model]], aggregate: models.Aggregate) -> None:
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self.model = model
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self.aggregate = aggregate
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class _ExtractExpr:
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"""日期提取表达式（year/month/day），用于 ``func.year(field) == 2024`` 等。"""
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def __init__(self, field_name: str, lookup_type: str) -> None:
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self.field_name = field_name
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self.lookup_type = lookup_type
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def __eq__(self, other) -> Q: # type: ignore[override]
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return Q(**{f'{self.field_name}__{self.lookup_type}': other})
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def __and__(self, other) -> Q:
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if isinstance(other, Q):
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return Q(**{f'{self.field_name}__{self.lookup_type}': None}) & other
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return self.__eq__(other)
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class _CompatFunc:
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"""兼容层聚合函数集合，提供 SQLAlchemy 风格的 ``func.sum()`` / ``func.count()`` 等。
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用法::
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from gvsdsdk.fluent import func
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func.sum(Model.jine) → Sum('jine')
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func.count(Model.id) → Count('id')
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func.max(Model.jine) → Max('jine')
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func.min(Model.jine) → Min('jine')
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func.avg(Model.jine) → Avg('jine')
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func.year(Model.riqi) → _ExtractExpr('riqi', 'year')
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func.month(Model.riqi) → _ExtractExpr('riqi', 'month')
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func.day(Model.riqi) → _ExtractExpr('riqi', 'day')
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"""
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def sum(self, field_expr) -> Union[_AggregateExpr, Sum]:
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"""求和聚合。"""
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name = self._resolve_name(field_expr)
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agg = Sum(name)
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model = getattr(field_expr, 'model_class', None)
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return _AggregateExpr(model, agg) if model else agg
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def count(self, field_expr=None) -> Union[_AggregateExpr, Count]:
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"""计数聚合，无参数时等价于 COUNT(*)。"""
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if field_expr is None:
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return Count('*')
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name = self._resolve_name(field_expr)
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agg = Count(name)
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model = getattr(field_expr, 'model_class', None)
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return _AggregateExpr(model, agg) if model else agg
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def max(self, field_expr) -> Union[_AggregateExpr, Max]:
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"""最大值聚合。"""
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name = self._resolve_name(field_expr)
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agg = Max(name)
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model = getattr(field_expr, 'model_class', None)
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return _AggregateExpr(model, agg) if model else agg
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def min(self, field_expr) -> Union[_AggregateExpr, Min]:
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"""最小值聚合。"""
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name = self._resolve_name(field_expr)
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agg = Min(name)
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model = getattr(field_expr, 'model_class', None)
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return _AggregateExpr(model, agg) if model else agg
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def avg(self, field_expr) -> Union[_AggregateExpr, Avg]:
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"""平均值聚合。"""
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name = self._resolve_name(field_expr)
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agg = Avg(name)
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model = getattr(field_expr, 'model_class', None)
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return _AggregateExpr(model, agg) if model else agg
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def year(self, field_expr) -> _ExtractExpr:
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"""提取年份，用于 ``func.year(Model.date) == 2024``。"""
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return _ExtractExpr(self._resolve_name(field_expr), 'year')
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def month(self, field_expr) -> _ExtractExpr:
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"""提取月份。"""
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return _ExtractExpr(self._resolve_name(field_expr), 'month')
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def day(self, field_expr) -> _ExtractExpr:
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"""提取日期。"""
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return _ExtractExpr(self._resolve_name(field_expr), 'day')
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@staticmethod
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def _resolve_name(field_expr) -> str:
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"""从 FieldExpression 或字符串解析 Django 字段名。"""
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if hasattr(field_expr, '_django_name'):
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return field_expr._django_name
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if hasattr(field_expr, 'field_name'):
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return field_expr.field_name
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return str(field_expr)
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func = _CompatFunc()
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# ---------------------------------------------------------------------------
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# DELETE 语句构建器
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# ---------------------------------------------------------------------------
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class _DeleteStmt:
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"""DELETE 语句构建器，支持 ``Model.query.filter(...).delete()`` 风格。"""
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def __init__(self, model_class: Type[models.Model], conditions: Optional[Q] = None) -> None:
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self.model_class = model_class
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self.conditions = conditions or Q()
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def where(self, *args: Q, **kwargs: Any) -> _DeleteStmt:
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"""添加 WHERE 条件。"""
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new_conditions = Q()
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for a in args:
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if isinstance(a, Q):
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new_conditions &= a
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if kwargs:
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new_conditions &= Q(**kwargs)
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self.conditions = new_conditions
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return self
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def execute(self) -> Tuple[int, Dict[str, int]]:
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"""执行删除，返回 (删除数, {表名: 删除数})。"""
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if self.model_class and self.conditions:
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return self.model_class.objects.filter(self.conditions).delete()
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elif self.model_class:
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return self.model_class.objects.all().delete()
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return (0, {})
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# ---------------------------------------------------------------------------
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# 会话与缓存
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# ---------------------------------------------------------------------------
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def _get_session() -> Session:
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"""获取当前线程的 Session 实例。"""
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if not hasattr(_local, 'db_session'):
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_local.db_session = Session()
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return _local.db_session
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def _get_cache() -> Dict:
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"""获取当前线程的查询缓存。"""
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if not hasattr(_local, 'query_cache'):
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_local.query_cache = {}
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return _local.query_cache
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def _invalidate_cache() -> None:
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"""清除当前线程的查询缓存。"""
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if hasattr(_local, 'query_cache'):
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_local.query_cache.clear()
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# ---------------------------------------------------------------------------
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# 关联字段访问器
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# ---------------------------------------------------------------------------
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class RelationAccessor:
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"""关联字段访问器，支持 ``Model.relation.field`` 跨表字段表达式。
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用法::
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# 自动解析关联字段
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Dingdan.query.filter(Dingdan.shangjia.nicheng == '测试')
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"""
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def __init__(self, model_class: Type[models.Model], prefix: str = '') -> None:
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self._model = model_class
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self._prefix = prefix
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def __getattr__(self, name: str):
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if name.startswith('_'):
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return object.__getattribute__(self, name)
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try:
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self._model._meta.get_field(name)
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full_name = f'{self._prefix}__{name}' if self._prefix else name
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return _get_field_expression_cls()(self._model, full_name)
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except Exception:
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for rel in self._model._meta.get_fields(include_hidden=True):
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if hasattr(rel, 'related_model') and rel.related_model:
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rel_name = ''
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if hasattr(rel, 'get_accessor_name'):
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rel_name = rel.get_accessor_name()
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elif hasattr(rel, 'name'):
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rel_name = rel.name
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if rel_name and rel_name == name:
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full_prefix = f'{self._prefix}__{rel_name}' if self._prefix else rel_name
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return RelationAccessor(rel.related_model, full_prefix)
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return _get_field_expression_cls()(self._model, name)
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def __repr__(self) -> str:
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return f'RelationAccessor({self._model.__name__}, prefix={self._prefix!r})'
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# ---------------------------------------------------------------------------
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# Values 结果集
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# ---------------------------------------------------------------------------
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class _ValuesResult:
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"""包装 Django ValuesQuerySet，支持链式调用。
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底层使用 Django ``.values()`` 返回字典，保持与 Django 行为一致。
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额外提供 ``.all()`` 返回字典列表，``.first()`` 返回字典或 None，
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``.scalar()`` 返回单字段场景的标量值。
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"""
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def __init__(self, qs: models.QuerySet, fields: List[str], original_fields: Tuple) -> None:
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self._qs: models.QuerySet = qs
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self._fields: List[str] = fields
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self._original_fields: Tuple = original_fields
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@property
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def query(self) -> Any:
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"""暴露底层 Django QuerySet 的 query 属性，支持 Subquery() 等场景。"""
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return self._qs.query
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def filter(self, *args: Any, **kwargs: Any) -> _ValuesResult:
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self._qs = self._qs.filter(*args, **kwargs)
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return self
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def exclude(self, *args: Any, **kwargs: Any) -> _ValuesResult:
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self._qs = self._qs.exclude(*args, **kwargs)
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return self
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def order_by(self, *fields: str) -> _ValuesResult:
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self._qs = self._qs.order_by(*fields)
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return self
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def distinct(self) -> _ValuesResult:
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self._qs = self._qs.distinct()
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return self
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def annotate(self, **kwargs: Any) -> _ValuesResult:
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self._qs = self._qs.annotate(**kwargs)
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return self
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def first(self) -> Optional[Dict[str, Any]]:
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"""返回第一条记录（字典）或 None。"""
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return self._qs.first()
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def all(self) -> List[Dict[str, Any]]:
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"""返回所有记录的字典列表。"""
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return list(self._qs)
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def scalar(self) -> Any:
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"""返回单字段场景的标量值。"""
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row = self._qs.first()
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if row is None:
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return None
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if self._fields:
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return row.get(self._fields[0])
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return row
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def count(self) -> int:
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return self._qs.count()
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def exists(self) -> bool:
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return self._qs.exists()
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def __getitem__(self, key: Union[int, slice]) -> Any:
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if isinstance(key, slice):
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self._qs = self._qs[key]
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return self
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else:
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return self._qs[key]
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def __iter__(self) -> Iterator[Dict[str, Any]]:
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return iter(self._qs)
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def __len__(self) -> int:
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return self.count()
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def __bool__(self) -> bool:
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return self._qs.exists()
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def __repr__(self) -> str:
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return f'_ValuesResult(fields={self._fields}, count={self.count()})'
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# ---------------------------------------------------------------------------
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# FluentQuery 核心查询构建器
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# ---------------------------------------------------------------------------
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class FluentQuery(Generic[_M]):
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"""QModel 兼容层查询构建器，提供 SQLAlchemy 风格的链式 OOP 查询接口。
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由 ``Model.query`` 返回，支持链式调用::
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# 基础查询
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Dingdan.query.filter(zhuangtai=8).all()
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# 链式过滤
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Dingdan.query.filter(jine__gt=100).order_by('-create_time').limit(10)
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# 字段表达式
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Dingdan.query.filter(Dingdan.jine > 100, Dingdan.zhuangtai.in_([1,2,3]))
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# 聚合
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Dingdan.query.aggregate(total=Sum('jine'))
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# values / annotate
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Dingdan.query.values('zhuangtai').annotate(cnt=Count('id'))
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# 分页
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Dingdan.query.paginate(page=1, per_page=20)
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泛型参数 ``_M`` 携带模型类型，使 IDE 能推断链式调用返回的模型实例类型。
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"""
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def __init__(self, model_class: Type[_M]) -> None:
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self._model: Type[_M] = model_class
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self._qs: models.QuerySet = model_class.objects.all()
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self._joined_models: List[Type[models.Model]] = []
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self._cache_enabled: bool = True
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@property
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def query(self) -> Any:
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"""暴露底层 Django QuerySet 的 query 属性，支持 Subquery() 等场景。"""
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return self._qs.query
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@property
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def model(self) -> Type[_M]:
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"""返回关联的模型类。"""
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return self._model
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def _clone(self) -> FluentQuery[_M]:
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"""克隆当前查询状态。"""
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q = FluentQuery(self._model)
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q._qs = self._qs
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q._joined_models = list(self._joined_models)
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q._cache_enabled = self._cache_enabled
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return q
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def _cache_key(self, method: str) -> Tuple[Any, str, Any]:
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"""生成缓存键。"""
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try:
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query_str = str(self._qs.query)
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except Exception:
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query_str = id(self._qs)
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return (self._model, method, query_str)
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def _remap_q(self, q: Q) -> Q:
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"""重映射 Q 对象中的字段名（用于 join 跨表查询）。"""
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new_children: List[Any] = []
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for child in q.children:
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if isinstance(child, Q):
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new_children.append(self._remap_q(child))
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elif isinstance(child, tuple):
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key, val = child
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new_key = self._remap_key(key)
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new_children.append((new_key, val))
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else:
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new_children.append(child)
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if new_children:
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new_q = Q(*new_children)
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new_q.connector = q.connector
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new_q.negated = q.negated
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return new_q
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return q
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def _remap_key(self, key: str) -> str:
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"""重映射字段名（用于 join 跨表查询自动添加关联前缀）。"""
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parts = key.split('__')
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field_name = parts[0]
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try:
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self._model._meta.get_field(field_name)
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return key
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except Exception:
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pass
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for joined in self._joined_models:
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try:
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joined._meta.get_field(field_name)
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for rel in self._model._meta.get_fields(include_hidden=True):
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if hasattr(rel, 'related_model') and rel.related_model == joined:
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acc = ''
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if hasattr(rel, 'get_accessor_name'):
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acc = rel.get_accessor_name()
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elif hasattr(rel, 'name'):
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acc = rel.name
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if acc and acc != '+':
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return acc + '__' + key
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return joined._meta.model_name + '__' + key
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except Exception:
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pass
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return key
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# ---- 过滤 ----
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def filter(self, *args: Any, **kwargs: Any) -> FluentQuery[_M]:
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"""过滤查询，支持 Q 对象和关键字参数，返回 self 以支持链式调用。"""
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converted_args: List[Any] = []
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for arg in args:
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if isinstance(arg, Q) and self._joined_models:
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converted_args.append(self._remap_q(arg))
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else:
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converted_args.append(arg)
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self._qs = self._qs.filter(*converted_args, **kwargs)
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return self
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def exclude(self, *args: Any, **kwargs: Any) -> FluentQuery[_M]:
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"""排除查询，返回 self 以支持链式调用。"""
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converted_args: List[Any] = []
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for arg in args:
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if isinstance(arg, Q) and self._joined_models:
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converted_args.append(self._remap_q(arg))
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else:
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converted_args.append(arg)
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self._qs = self._qs.exclude(*converted_args, **kwargs)
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return self
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# ---- 排序 ----
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|
||
def order_by(self, *args: Any) -> FluentQuery[_M]:
|
||
"""排序，支持字符串和 FieldExpression，返回 self 以支持链式调用。"""
|
||
converted: List[str] = []
|
||
for a in args:
|
||
if isinstance(a, str):
|
||
converted.append(a)
|
||
elif isinstance(a, _get_field_expression_cls()):
|
||
converted.append(str(a))
|
||
else:
|
||
converted.append(str(a))
|
||
self._qs = self._qs.order_by(*converted)
|
||
return self
|
||
|
||
# ---- 获取记录 ----
|
||
|
||
def first(self) -> Optional[_M]:
|
||
"""返回第一条记录或 None。"""
|
||
if self._cache_enabled:
|
||
cache = _get_cache()
|
||
key = self._cache_key('first')
|
||
if key in cache:
|
||
return cache[key]
|
||
obj = self._qs.first()
|
||
if obj is not None:
|
||
_get_session().track(obj)
|
||
if self._cache_enabled:
|
||
_get_cache()[self._cache_key('first')] = obj
|
||
return obj
|
||
|
||
def last(self) -> Optional[_M]:
|
||
"""返回最后一条记录或 None。"""
|
||
return self._qs.last()
|
||
|
||
def get(self, *args: Any, **kwargs: Any) -> _M:
|
||
"""获取唯一匹配记录，不存在或多个时抛异常。"""
|
||
if args:
|
||
obj = self._qs.filter(*args).get(**kwargs)
|
||
else:
|
||
obj = self._qs.get(**kwargs)
|
||
_get_session().track(obj)
|
||
return obj
|
||
|
||
def all(self) -> FluentQuery[_M]:
|
||
"""返回 self 以支持链式调用（与 Django QuerySet.all() 一致）。
|
||
如需获取列表，使用 ``.to_list()`` 或 ``list()``。"""
|
||
self._qs = self._qs.all()
|
||
return self
|
||
|
||
def to_list(self) -> List[_M]:
|
||
"""执行查询并返回模型实例列表。"""
|
||
if self._cache_enabled:
|
||
cache = _get_cache()
|
||
key = self._cache_key('to_list')
|
||
if key in cache:
|
||
return cache[key]
|
||
results = list(self._qs)
|
||
session = _get_session()
|
||
for obj in results:
|
||
session.track(obj)
|
||
if self._cache_enabled:
|
||
_get_cache()[self._cache_key('to_list')] = results
|
||
return results
|
||
|
||
def count(self) -> int:
|
||
"""返回匹配记录数。"""
|
||
if self._cache_enabled:
|
||
cache = _get_cache()
|
||
key = self._cache_key('count')
|
||
if key in cache:
|
||
return cache[key]
|
||
result = self._qs.count()
|
||
if self._cache_enabled:
|
||
_get_cache()[self._cache_key('count')] = result
|
||
return result
|
||
|
||
def exists(self) -> bool:
|
||
"""判断是否存在匹配记录。"""
|
||
return self._qs.exists()
|
||
|
||
# ---- 创建/更新/删除 ----
|
||
|
||
def create(self, **kwargs: Any) -> _M:
|
||
"""创建并保存新记录。"""
|
||
obj = self._model.objects.create(**kwargs)
|
||
_invalidate_cache()
|
||
return obj
|
||
|
||
def get_or_create(self, defaults: Optional[Dict[str, Any]] = None,
|
||
**kwargs: Any) -> Tuple[_M, bool]:
|
||
"""查询或创建记录，返回 ``(obj, created)`` 元组。"""
|
||
obj, created = self._model.objects.get_or_create(defaults=defaults, **kwargs)
|
||
if created:
|
||
_invalidate_cache()
|
||
_get_session().track(obj)
|
||
return obj, created
|
||
|
||
def update_or_create(self, defaults: Optional[Dict[str, Any]] = None,
|
||
**kwargs: Any) -> Tuple[_M, bool]:
|
||
"""更新或创建记录，返回 ``(obj, created)`` 元组。"""
|
||
obj, created = self._model.objects.update_or_create(defaults=defaults, **kwargs)
|
||
_invalidate_cache()
|
||
_get_session().track(obj)
|
||
return obj, created
|
||
|
||
def bulk_create(self, objs: List[_M], batch_size: Optional[int] = None,
|
||
ignore_conflicts: bool = False) -> List[_M]:
|
||
"""批量创建记录。"""
|
||
result = self._model.objects.bulk_create(
|
||
objs, batch_size=batch_size, ignore_conflicts=ignore_conflicts
|
||
)
|
||
_invalidate_cache()
|
||
return result
|
||
|
||
def bulk_update(self, objs: List[_M], fields: List[str],
|
||
batch_size: Optional[int] = None) -> int:
|
||
"""批量更新记录，返回受影响行数。"""
|
||
result = self._model.objects.bulk_update(objs, fields, batch_size=batch_size)
|
||
_invalidate_cache()
|
||
return result
|
||
|
||
def update(self, **kwargs: Any) -> int:
|
||
"""批量更新匹配记录，返回受影响行数。"""
|
||
result = self._qs.update(**kwargs)
|
||
_invalidate_cache()
|
||
return result
|
||
|
||
def delete(self) -> Tuple[int, Dict[str, int]]:
|
||
"""批量删除匹配记录，返回 ``(删除数, {表名: 删除数})``。"""
|
||
result = self._qs.delete()
|
||
_invalidate_cache()
|
||
return result
|
||
|
||
# ---- 查询修饰 ----
|
||
|
||
def none(self) -> FluentQuery[_M]:
|
||
"""返回空结果集，返回 self 以支持链式调用。"""
|
||
self._qs = self._qs.none()
|
||
return self
|
||
|
||
def limit(self, n: int) -> FluentQuery[_M]:
|
||
"""限制返回记录数，返回 self 以支持链式调用。"""
|
||
self._qs = self._qs[:n]
|
||
return self
|
||
|
||
def offset(self, n: int) -> FluentQuery[_M]:
|
||
"""跳过前 n 条记录，返回 self 以支持链式调用。"""
|
||
self._qs = self._qs[n:]
|
||
return self
|
||
|
||
def join(self, *args: Type[models.Model]) -> FluentQuery[_M]:
|
||
"""关联模型，用于跨表查询自动映射字段，返回 self 以支持链式调用。"""
|
||
for arg in args:
|
||
if isinstance(arg, type) and issubclass(arg, models.Model):
|
||
if arg not in self._joined_models:
|
||
self._joined_models.append(arg)
|
||
return self
|
||
|
||
def select_related(self, *fields: str) -> FluentQuery[_M]:
|
||
"""外键关联查询优化，返回 self 以支持链式调用。"""
|
||
self._qs = self._qs.select_related(*fields)
|
||
return self
|
||
|
||
def prefetch_related(self, *fields: str) -> FluentQuery[_M]:
|
||
"""多对多/反向关联查询优化，返回 self 以支持链式调用。"""
|
||
self._qs = self._qs.prefetch_related(*fields)
|
||
return self
|
||
|
||
def only(self, *fields: str) -> FluentQuery[_M]:
|
||
"""只加载指定字段，返回 self 以支持链式调用。"""
|
||
self._qs = self._qs.only(*fields)
|
||
return self
|
||
|
||
def defer(self, *fields: str) -> FluentQuery[_M]:
|
||
"""延迟加载指定字段，返回 self 以支持链式调用。"""
|
||
self._qs = self._qs.defer(*fields)
|
||
return self
|
||
|
||
def select_for_update(self, nowait: bool = False, skip_locked: bool = False,
|
||
of: Tuple = (), no_key: bool = False) -> FluentQuery[_M]:
|
||
"""行级锁，返回 self 以支持链式调用。"""
|
||
self._qs = self._qs.select_for_update(
|
||
nowait=nowait, skip_locked=skip_locked, of=of, no_key=no_key
|
||
)
|
||
return self
|
||
|
||
def distinct(self) -> FluentQuery[_M]:
|
||
"""去重查询，返回 self 以支持链式调用。"""
|
||
self._qs = self._qs.distinct()
|
||
return self
|
||
|
||
def using(self, alias: str) -> FluentQuery[_M]:
|
||
"""指定数据库别名，返回 self 以支持链式调用。"""
|
||
self._qs = self._qs.using(alias)
|
||
return self
|
||
|
||
def no_cache(self) -> FluentQuery[_M]:
|
||
"""禁用查询缓存，返回 self 以支持链式调用。"""
|
||
self._cache_enabled = False
|
||
return self
|
||
|
||
def params(self, **kwargs: Any) -> FluentQuery[_M]:
|
||
"""参数占位（SQLAlchemy 兼容），返回 self 以支持链式调用。"""
|
||
return self
|
||
|
||
# ---- 聚合与注解 ----
|
||
|
||
def annotate(self, **kwargs: Any) -> FluentQuery[_M]:
|
||
"""注解查询，添加聚合/计算字段，返回 self 以支持链式调用。"""
|
||
self._qs = self._qs.annotate(**kwargs)
|
||
return self
|
||
|
||
def aggregate(self, *args: Any, **kwargs: Any) -> Dict[str, Any]:
|
||
"""聚合查询，返回聚合结果字典。
|
||
|
||
兼容 Django QuerySet.aggregate() 的两种调用方式：
|
||
aggregate(Max('field')) # 位置参数
|
||
aggregate(field__max=Max('field')) # 关键字参数
|
||
"""
|
||
return self._qs.aggregate(*args, **kwargs)
|
||
|
||
def values(self, *fields: Union[str, _AggregateExpr, models.Expression]) -> _ValuesResult:
|
||
"""返回指定字段的字典结果，支持链式调用。"""
|
||
if not fields:
|
||
return _ValuesResult(self._qs.values(), [], fields)
|
||
|
||
annotations: Dict[str, models.Aggregate] = {}
|
||
converted: List[str] = []
|
||
for i, f in enumerate(fields):
|
||
if isinstance(f, _AggregateExpr):
|
||
annotations[f'val{i}'] = f.aggregate
|
||
converted.append(f'val{i}')
|
||
elif isinstance(f, (models.Aggregate, models.Expression)):
|
||
annotations[f'val{i}'] = f
|
||
converted.append(f'val{i}')
|
||
elif isinstance(f, str):
|
||
converted.append(f)
|
||
else:
|
||
converted.append(str(f))
|
||
|
||
qs = self._qs
|
||
if annotations:
|
||
qs = qs.annotate(**annotations)
|
||
qs = qs.values(*converted)
|
||
return _ValuesResult(qs, converted, fields)
|
||
|
||
def with_entities(self, *fields: Union[str, _AggregateExpr, models.Expression]) -> _ValuesResult:
|
||
"""values() 的别名，SQLAlchemy 风格。"""
|
||
return self.values(*fields)
|
||
|
||
def values_list(self, *fields: str, flat: bool = False) -> Any:
|
||
"""返回指定字段的元组列表。"""
|
||
return self._qs.values_list(*fields, flat=flat)
|
||
|
||
# ---- 分页 ----
|
||
|
||
def paginate(self, page: int = 1, per_page: int = 20,
|
||
error_out: bool = False) -> Any:
|
||
"""分页查询，返回 Page 对象（含 items, total, pages 等属性）。"""
|
||
from django.core.paginator import Paginator, EmptyPage
|
||
if not self._qs.ordered:
|
||
meta = getattr(self._model, '_meta', None)
|
||
if meta and meta.pk:
|
||
self._qs = self._qs.order_by(meta.pk.name)
|
||
paginator = Paginator(self._qs, per_page)
|
||
try:
|
||
page_obj = paginator.page(page)
|
||
except EmptyPage:
|
||
page_obj = paginator.page(1)
|
||
page_obj.total = paginator.count
|
||
page_obj.items = page_obj.object_list
|
||
page_obj.pages = paginator.num_pages
|
||
page_obj.page = page
|
||
page_obj.per_page = per_page
|
||
page_obj.has_next = page_obj.has_next()
|
||
page_obj.has_prev = page_obj.has_previous()
|
||
page_obj.next_num = page_obj.next_page_number() if page_obj.has_next else None
|
||
page_obj.prev_num = page_obj.previous_page_number() if page_obj.has_prev else None
|
||
return page_obj
|
||
|
||
# ---- 魔术方法 ----
|
||
|
||
def __getitem__(self, key: Union[int, slice]) -> Any:
|
||
"""支持切片 ``[start:end]`` 和索引 ``[n]``。切片返回 self，索引返回模型实例。"""
|
||
if isinstance(key, slice):
|
||
self._qs = self._qs[key]
|
||
return self
|
||
else:
|
||
return self._qs[key]
|
||
|
||
def __iter__(self) -> Iterator[_M]:
|
||
return iter(self._qs)
|
||
|
||
def __len__(self) -> int:
|
||
return self.count()
|
||
|
||
def __bool__(self) -> bool:
|
||
return self.exists()
|
||
|
||
def __repr__(self) -> str:
|
||
return f'FluentQuery({self._model.__name__})'
|
||
|
||
|
||
# ---------------------------------------------------------------------------
|
||
# Session 会话管理
|
||
# ---------------------------------------------------------------------------
|
||
|
||
class Session:
|
||
"""简易会话管理器，支持 add/delete/commit/rollback 操作。
|
||
|
||
用法::
|
||
|
||
session = db.session
|
||
session.add(obj)
|
||
session.commit()
|
||
"""
|
||
|
||
def __init__(self) -> None:
|
||
self._pending_adds: List[models.Model] = []
|
||
self._pending_deletes: List[models.Model] = []
|
||
self._tracked: set = set()
|
||
|
||
def add(self, obj: models.Model) -> None:
|
||
"""添加对象到待保存列表。"""
|
||
self._pending_adds.append(obj)
|
||
|
||
def delete(self, obj: models.Model) -> None:
|
||
"""添加对象到待删除列表。"""
|
||
self._pending_deletes.append(obj)
|
||
self._tracked.discard(obj)
|
||
|
||
def track(self, obj: models.Model) -> None:
|
||
"""跟踪对象变更（commit 时自动 save）。"""
|
||
if isinstance(obj, models.Model):
|
||
self._tracked.add(obj)
|
||
|
||
def commit(self) -> None:
|
||
"""提交所有待处理操作（删除 → 新增 → 更新）。"""
|
||
delete_pks = {(obj.__class__, obj.pk) for obj in self._pending_deletes
|
||
if obj.pk is not None}
|
||
with transaction.atomic():
|
||
for obj in self._pending_deletes:
|
||
obj.delete()
|
||
for obj in self._pending_adds:
|
||
obj.save()
|
||
for obj in self._tracked:
|
||
if obj.pk is not None and (obj.__class__, obj.pk) in delete_pks:
|
||
continue
|
||
try:
|
||
obj.save()
|
||
except Exception:
|
||
logger.debug('Session.commit: skip tracked obj %s', obj, exc_info=True)
|
||
self._pending_adds.clear()
|
||
self._pending_deletes.clear()
|
||
self._tracked.clear()
|
||
_invalidate_cache()
|
||
|
||
def rollback(self) -> None:
|
||
"""回滚所有待处理操作。"""
|
||
self._pending_adds.clear()
|
||
self._pending_deletes.clear()
|
||
self._tracked.clear()
|
||
_invalidate_cache()
|
||
|
||
def query(self, *args) -> Optional[FluentQuery[Any]]:
|
||
"""创建查询构建器，支持传入模型类或聚合表达式。"""
|
||
model: Optional[Type[models.Model]] = None
|
||
aggregates: List = []
|
||
for a in args:
|
||
if isinstance(a, type) and issubclass(a, models.Model):
|
||
model = a
|
||
elif isinstance(a, _AggregateExpr):
|
||
if a.model:
|
||
model = a.model
|
||
aggregates.append(a.aggregate)
|
||
elif isinstance(a, (models.Aggregate, models.Expression)):
|
||
aggregates.append(a)
|
||
if not aggregates and model:
|
||
return FluentQuery(model)
|
||
if aggregates and model:
|
||
fq = FluentQuery(model)
|
||
return fq.values(*args)
|
||
return None
|
||
|
||
def flush(self) -> None:
|
||
"""flush() 的别名，等同于 commit()。"""
|
||
self.commit()
|
||
|
||
def execute(self, stmt) -> None:
|
||
"""执行语句（支持 _DeleteStmt 和原始 SQL 字符串）。"""
|
||
if isinstance(stmt, _DeleteStmt):
|
||
stmt.execute()
|
||
elif isinstance(stmt, str):
|
||
connection = default_db_connection
|
||
with connection.cursor() as cursor:
|
||
cursor.execute(stmt)
|
||
|
||
|
||
# ---------------------------------------------------------------------------
|
||
# 全局入口
|
||
# ---------------------------------------------------------------------------
|
||
|
||
class DB:
|
||
"""全局数据库操作入口。
|
||
|
||
用法::
|
||
|
||
from gvsdsdk.fluent import db
|
||
|
||
session = db.session
|
||
q = db.or_(Model.field == 1, Model.field == 2)
|
||
q = db.and_(Model.field > 0, Model.field < 100)
|
||
"""
|
||
|
||
@property
|
||
def session(self) -> Session:
|
||
"""获取当前线程的 Session 实例。"""
|
||
return _get_session()
|
||
|
||
@staticmethod
|
||
def or_(*args: Q) -> Q:
|
||
"""逻辑 OR，合并多个 Q 对象。"""
|
||
result: Optional[Q] = None
|
||
for q in args:
|
||
if isinstance(q, Q):
|
||
if result is None:
|
||
result = q
|
||
else:
|
||
result |= q
|
||
return result if result is not None else Q()
|
||
|
||
@staticmethod
|
||
def and_(*args: Q) -> Q:
|
||
"""逻辑 AND，合并多个 Q 对象。"""
|
||
result = Q()
|
||
for q in args:
|
||
if isinstance(q, Q):
|
||
result &= q
|
||
return result
|
||
|
||
|
||
db = DB()
|
||
|
||
|
||
def FQ(model_class: Type[_M]) -> FluentQuery[_M]:
|
||
"""FluentQuery 工厂函数，等同于 ``Model.query``。"""
|
||
return FluentQuery(model_class)
|