- 新增图像生成接口,支持试用、积分和自定义API Key模式 - 实现生成图片结果异步上传至MinIO存储,带重试机制 - 优化积分预扣除和异常退还逻辑,保障用户积分准确 - 添加获取生成历史记录接口,支持时间范围和分页 - 提供本地字典配置接口,支持模型、比例、提示模板和尺寸 - 实现图片批量上传接口,支持S3兼容对象存储 feat(admin): 增加管理员角色管理与权限分配接口 - 实现角色列表查询、角色创建、更新及删除功能 - 增加权限列表查询接口 - 实现用户角色分配接口,便于统一管理用户权限 - 增加系统字典增删查改接口,支持分类过滤和排序 - 权限控制全面覆盖管理接口,保证安全访问 feat(auth): 完善用户登录注册及权限相关接口与页面 - 实现手机号验证码发送及校验功能,保障注册安全 - 支持手机号注册、登录及退出接口,集成日志记录 - 增加修改密码功能,验证原密码后更新 - 提供动态导航菜单接口,基于权限展示不同菜单 - 实现管理界面路由及日志、角色、字典管理页面访问权限控制 - 添加系统日志查询接口,支持关键词和等级筛选 feat(app): 初始化Flask应用并配置蓝图与数据库 - 创建应用程序工厂,加载配置,初始化数据库和Redis客户端 - 注册认证、API及管理员蓝图,整合路由 - 根路由渲染主页模板 - 应用上下文中自动创建数据库表,保证运行环境准备完毕 feat(database): 提供数据库创建与迁移支持脚本 - 新增数据库创建脚本,支持自动检测是否已存在 - 添加数据库表初始化脚本,支持创建和删除所有表 - 实现RBAC权限初始化,包含基础权限和角色创建 - 新增字段手动修复脚本,添加用户API Key和积分字段 - 强制迁移脚本支持清理连接和修复表结构,初始化默认数据及角色分配 feat(config): 新增系统配置参数 - 配置数据库、Redis、Session和MinIO相关参数 - 添加AI接口地址及试用Key配置 - 集成阿里云短信服务配置及开发模式相关参数 feat(extensions): 初始化数据库、Redis和MinIO客户端 - 创建全局SQLAlchemy数据库实例和Redis客户端 - 配置基于boto3的MinIO兼容S3客户端 chore(logs): 添加示例系统日志文件 - 记录用户请求、验证码发送成功与失败的日志信息
238 lines
7.1 KiB
Python
238 lines
7.1 KiB
Python
# testing/suite/test_cte.py
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# Copyright (C) 2005-2025 the SQLAlchemy authors and contributors
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# <see AUTHORS file>
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#
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# This module is part of SQLAlchemy and is released under
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# the MIT License: https://www.opensource.org/licenses/mit-license.php
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# mypy: ignore-errors
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from .. import fixtures
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from ..assertions import eq_
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from ..schema import Column
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from ..schema import Table
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from ... import column
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from ... import ForeignKey
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from ... import Integer
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from ... import select
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from ... import String
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from ... import testing
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from ... import values
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class CTETest(fixtures.TablesTest):
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__sparse_driver_backend__ = True
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__requires__ = ("ctes",)
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run_inserts = "each"
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run_deletes = "each"
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@classmethod
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def define_tables(cls, metadata):
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Table(
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"some_table",
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metadata,
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Column("id", Integer, primary_key=True),
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Column("data", String(50)),
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Column("parent_id", ForeignKey("some_table.id")),
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)
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Table(
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"some_other_table",
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metadata,
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Column("id", Integer, primary_key=True),
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Column("data", String(50)),
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Column("parent_id", Integer),
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)
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@classmethod
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def insert_data(cls, connection):
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connection.execute(
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cls.tables.some_table.insert(),
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[
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{"id": 1, "data": "d1", "parent_id": None},
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{"id": 2, "data": "d2", "parent_id": 1},
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{"id": 3, "data": "d3", "parent_id": 1},
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{"id": 4, "data": "d4", "parent_id": 3},
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{"id": 5, "data": "d5", "parent_id": 3},
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],
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)
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def test_select_nonrecursive_round_trip(self, connection):
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some_table = self.tables.some_table
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cte = (
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select(some_table)
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.where(some_table.c.data.in_(["d2", "d3", "d4"]))
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.cte("some_cte")
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)
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result = connection.execute(
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select(cte.c.data).where(cte.c.data.in_(["d4", "d5"]))
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)
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eq_(result.fetchall(), [("d4",)])
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def test_select_recursive_round_trip(self, connection):
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some_table = self.tables.some_table
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cte = (
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select(some_table)
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.where(some_table.c.data.in_(["d2", "d3", "d4"]))
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.cte("some_cte", recursive=True)
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)
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cte_alias = cte.alias("c1")
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st1 = some_table.alias()
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# note that SQL Server requires this to be UNION ALL,
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# can't be UNION
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cte = cte.union_all(
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select(st1).where(st1.c.id == cte_alias.c.parent_id)
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)
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result = connection.execute(
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select(cte.c.data)
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.where(cte.c.data != "d2")
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.order_by(cte.c.data.desc())
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)
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eq_(
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result.fetchall(),
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[("d4",), ("d3",), ("d3",), ("d1",), ("d1",), ("d1",)],
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)
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def test_insert_from_select_round_trip(self, connection):
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some_table = self.tables.some_table
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some_other_table = self.tables.some_other_table
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cte = (
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select(some_table)
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.where(some_table.c.data.in_(["d2", "d3", "d4"]))
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.cte("some_cte")
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)
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connection.execute(
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some_other_table.insert().from_select(
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["id", "data", "parent_id"], select(cte)
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)
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)
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eq_(
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connection.execute(
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select(some_other_table).order_by(some_other_table.c.id)
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).fetchall(),
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[(2, "d2", 1), (3, "d3", 1), (4, "d4", 3)],
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)
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@testing.requires.ctes_with_update_delete
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@testing.requires.update_from
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def test_update_from_round_trip(self, connection):
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some_table = self.tables.some_table
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some_other_table = self.tables.some_other_table
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connection.execute(
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some_other_table.insert().from_select(
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["id", "data", "parent_id"], select(some_table)
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)
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)
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cte = (
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select(some_table)
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.where(some_table.c.data.in_(["d2", "d3", "d4"]))
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.cte("some_cte")
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)
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connection.execute(
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some_other_table.update()
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.values(parent_id=5)
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.where(some_other_table.c.data == cte.c.data)
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)
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eq_(
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connection.execute(
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select(some_other_table).order_by(some_other_table.c.id)
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).fetchall(),
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[
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(1, "d1", None),
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(2, "d2", 5),
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(3, "d3", 5),
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(4, "d4", 5),
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(5, "d5", 3),
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],
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)
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@testing.requires.ctes_with_update_delete
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@testing.requires.delete_from
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def test_delete_from_round_trip(self, connection):
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some_table = self.tables.some_table
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some_other_table = self.tables.some_other_table
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connection.execute(
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some_other_table.insert().from_select(
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["id", "data", "parent_id"], select(some_table)
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)
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)
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cte = (
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select(some_table)
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.where(some_table.c.data.in_(["d2", "d3", "d4"]))
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.cte("some_cte")
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)
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connection.execute(
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some_other_table.delete().where(
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some_other_table.c.data == cte.c.data
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)
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)
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eq_(
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connection.execute(
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select(some_other_table).order_by(some_other_table.c.id)
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).fetchall(),
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[(1, "d1", None), (5, "d5", 3)],
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)
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@testing.requires.ctes_with_update_delete
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def test_delete_scalar_subq_round_trip(self, connection):
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some_table = self.tables.some_table
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some_other_table = self.tables.some_other_table
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connection.execute(
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some_other_table.insert().from_select(
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["id", "data", "parent_id"], select(some_table)
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)
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)
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cte = (
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select(some_table)
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.where(some_table.c.data.in_(["d2", "d3", "d4"]))
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.cte("some_cte")
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)
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connection.execute(
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some_other_table.delete().where(
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some_other_table.c.data
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== select(cte.c.data)
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.where(cte.c.id == some_other_table.c.id)
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.scalar_subquery()
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)
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)
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eq_(
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connection.execute(
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select(some_other_table).order_by(some_other_table.c.id)
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).fetchall(),
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[(1, "d1", None), (5, "d5", 3)],
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)
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@testing.variation("values_named", [True, False])
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@testing.variation("cte_named", [True, False])
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@testing.variation("literal_binds", [True, False])
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@testing.requires.ctes_with_values
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def test_values_named_via_cte(
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self, connection, values_named, cte_named, literal_binds
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):
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cte1 = (
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values(
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column("col1", String),
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column("col2", Integer),
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literal_binds=bool(literal_binds),
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name="some name" if values_named else None,
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)
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.data([("a", 2), ("b", 3)])
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.cte("cte1" if cte_named else None)
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)
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stmt = select(cte1)
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rows = connection.execute(stmt).all()
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eq_(rows, [("a", 2), ("b", 3)])
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