✨ Upgrade SQLAlchemy to 2.0, including initial work by farahats9 (#700)
Co-authored-by: Mohamed Farahat <farahats9@yahoo.com> Co-authored-by: Stefan Borer <stefan.borer@gmail.com> Co-authored-by: Peter Landry <peter.landry@gmail.com>
This commit is contained in:
parent
77c6fed305
commit
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2
.github/workflows/test.yml
vendored
2
.github/workflows/test.yml
vendored
@ -56,6 +56,8 @@ jobs:
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if: steps.cache.outputs.cache-hit != 'true'
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run: python -m poetry install
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- name: Lint
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# Do not run on Python 3.7 as mypy behaves differently
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if: matrix.python-version != '3.7'
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run: python -m poetry run bash scripts/lint.sh
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- run: mkdir coverage
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- name: Test
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@ -31,9 +31,8 @@ classifiers = [
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[tool.poetry.dependencies]
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python = "^3.7"
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SQLAlchemy = ">=1.4.36,<2.0.0"
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SQLAlchemy = ">=2.0.0,<2.1.0"
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pydantic = "^1.9.0"
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sqlalchemy2-stubs = {version = "*", allow-prereleases = true}
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[tool.poetry.group.dev.dependencies]
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pytest = "^7.0.1"
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@ -45,9 +44,10 @@ pillow = "^9.3.0"
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cairosvg = "^2.5.2"
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mdx-include = "^1.4.1"
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coverage = {extras = ["toml"], version = ">=6.2,<8.0"}
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fastapi = "^0.68.1"
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requests = "^2.26.0"
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fastapi = "^0.103.2"
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ruff = "^0.1.2"
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# For FastAPI tests
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httpx = "0.24.1"
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[build-system]
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requires = ["poetry-core"]
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@ -80,6 +80,12 @@ strict = true
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module = "sqlmodel.sql.expression"
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warn_unused_ignores = false
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[[tool.mypy.overrides]]
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module = "docs_src.*"
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disallow_incomplete_defs = false
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disallow_untyped_defs = false
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disallow_untyped_calls = false
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[tool.ruff]
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select = [
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"E", # pycodestyle errors
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@ -34,9 +34,9 @@ for total_args in range(2, number_of_types + 1):
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arg = Arg(name=f"entity_{i}", annotation=t_var)
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ret_type = t_var
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else:
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t_type = f"_TModel_{i}"
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t_var = f"Type[{t_type}]"
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arg = Arg(name=f"entity_{i}", annotation=t_var)
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t_type = f"_T{i}"
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t_var = f"_TCCA[{t_type}]"
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arg = Arg(name=f"__ent{i}", annotation=t_var)
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ret_type = t_type
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args.append(arg)
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return_types.append(ret_type)
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@ -1,9 +1,12 @@
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__version__ = "0.0.11"
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# Re-export from SQLAlchemy
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from sqlalchemy.engine import create_engine as create_engine
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from sqlalchemy.engine import create_mock_engine as create_mock_engine
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from sqlalchemy.engine import engine_from_config as engine_from_config
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from sqlalchemy.inspection import inspect as inspect
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from sqlalchemy.pool import QueuePool as QueuePool
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from sqlalchemy.pool import StaticPool as StaticPool
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from sqlalchemy.schema import BLANK_SCHEMA as BLANK_SCHEMA
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from sqlalchemy.schema import DDL as DDL
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from sqlalchemy.schema import CheckConstraint as CheckConstraint
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@ -21,7 +24,6 @@ from sqlalchemy.schema import MetaData as MetaData
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from sqlalchemy.schema import PrimaryKeyConstraint as PrimaryKeyConstraint
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from sqlalchemy.schema import Sequence as Sequence
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from sqlalchemy.schema import Table as Table
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from sqlalchemy.schema import ThreadLocalMetaData as ThreadLocalMetaData
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from sqlalchemy.schema import UniqueConstraint as UniqueConstraint
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from sqlalchemy.sql import LABEL_STYLE_DEFAULT as LABEL_STYLE_DEFAULT
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from sqlalchemy.sql import (
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@ -32,26 +34,14 @@ from sqlalchemy.sql import (
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LABEL_STYLE_TABLENAME_PLUS_COL as LABEL_STYLE_TABLENAME_PLUS_COL,
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)
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from sqlalchemy.sql import alias as alias
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from sqlalchemy.sql import all_ as all_
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from sqlalchemy.sql import and_ as and_
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from sqlalchemy.sql import any_ as any_
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from sqlalchemy.sql import asc as asc
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from sqlalchemy.sql import between as between
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from sqlalchemy.sql import bindparam as bindparam
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from sqlalchemy.sql import case as case
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from sqlalchemy.sql import cast as cast
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from sqlalchemy.sql import collate as collate
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from sqlalchemy.sql import column as column
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from sqlalchemy.sql import delete as delete
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from sqlalchemy.sql import desc as desc
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from sqlalchemy.sql import distinct as distinct
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from sqlalchemy.sql import except_ as except_
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from sqlalchemy.sql import except_all as except_all
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from sqlalchemy.sql import exists as exists
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from sqlalchemy.sql import extract as extract
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from sqlalchemy.sql import false as false
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from sqlalchemy.sql import func as func
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from sqlalchemy.sql import funcfilter as funcfilter
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from sqlalchemy.sql import insert as insert
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from sqlalchemy.sql import intersect as intersect
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from sqlalchemy.sql import intersect_all as intersect_all
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@ -61,28 +51,19 @@ from sqlalchemy.sql import lateral as lateral
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from sqlalchemy.sql import literal as literal
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from sqlalchemy.sql import literal_column as literal_column
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from sqlalchemy.sql import modifier as modifier
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from sqlalchemy.sql import not_ as not_
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from sqlalchemy.sql import null as null
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from sqlalchemy.sql import nulls_first as nulls_first
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from sqlalchemy.sql import nulls_last as nulls_last
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from sqlalchemy.sql import nullsfirst as nullsfirst
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from sqlalchemy.sql import nullslast as nullslast
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from sqlalchemy.sql import or_ as or_
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from sqlalchemy.sql import outerjoin as outerjoin
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from sqlalchemy.sql import outparam as outparam
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from sqlalchemy.sql import over as over
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from sqlalchemy.sql import subquery as subquery
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from sqlalchemy.sql import table as table
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from sqlalchemy.sql import tablesample as tablesample
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from sqlalchemy.sql import text as text
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from sqlalchemy.sql import true as true
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from sqlalchemy.sql import tuple_ as tuple_
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from sqlalchemy.sql import type_coerce as type_coerce
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from sqlalchemy.sql import union as union
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from sqlalchemy.sql import union_all as union_all
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from sqlalchemy.sql import update as update
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from sqlalchemy.sql import values as values
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from sqlalchemy.sql import within_group as within_group
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from sqlalchemy.types import ARRAY as ARRAY
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from sqlalchemy.types import BIGINT as BIGINT
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from sqlalchemy.types import BINARY as BINARY
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@ -93,6 +74,8 @@ from sqlalchemy.types import CLOB as CLOB
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from sqlalchemy.types import DATE as DATE
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from sqlalchemy.types import DATETIME as DATETIME
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from sqlalchemy.types import DECIMAL as DECIMAL
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from sqlalchemy.types import DOUBLE as DOUBLE
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from sqlalchemy.types import DOUBLE_PRECISION as DOUBLE_PRECISION
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from sqlalchemy.types import FLOAT as FLOAT
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from sqlalchemy.types import INT as INT
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from sqlalchemy.types import INTEGER as INTEGER
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@ -105,12 +88,14 @@ from sqlalchemy.types import SMALLINT as SMALLINT
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from sqlalchemy.types import TEXT as TEXT
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from sqlalchemy.types import TIME as TIME
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from sqlalchemy.types import TIMESTAMP as TIMESTAMP
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from sqlalchemy.types import UUID as UUID
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from sqlalchemy.types import VARBINARY as VARBINARY
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from sqlalchemy.types import VARCHAR as VARCHAR
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from sqlalchemy.types import BigInteger as BigInteger
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from sqlalchemy.types import Boolean as Boolean
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from sqlalchemy.types import Date as Date
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from sqlalchemy.types import DateTime as DateTime
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from sqlalchemy.types import Double as Double
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from sqlalchemy.types import Enum as Enum
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from sqlalchemy.types import Float as Float
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from sqlalchemy.types import Integer as Integer
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@ -122,16 +107,38 @@ from sqlalchemy.types import SmallInteger as SmallInteger
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from sqlalchemy.types import String as String
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from sqlalchemy.types import Text as Text
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from sqlalchemy.types import Time as Time
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from sqlalchemy.types import TupleType as TupleType
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from sqlalchemy.types import TypeDecorator as TypeDecorator
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from sqlalchemy.types import Unicode as Unicode
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from sqlalchemy.types import UnicodeText as UnicodeText
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from sqlalchemy.types import Uuid as Uuid
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# From SQLModel, modifications of SQLAlchemy or equivalents of Pydantic
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from .engine.create import create_engine as create_engine
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from .main import Field as Field
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from .main import Relationship as Relationship
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from .main import SQLModel as SQLModel
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from .orm.session import Session as Session
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from .sql.expression import all_ as all_
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from .sql.expression import and_ as and_
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from .sql.expression import any_ as any_
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from .sql.expression import asc as asc
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from .sql.expression import between as between
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from .sql.expression import case as case
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from .sql.expression import cast as cast
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from .sql.expression import col as col
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from .sql.expression import collate as collate
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from .sql.expression import desc as desc
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from .sql.expression import distinct as distinct
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from .sql.expression import extract as extract
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from .sql.expression import funcfilter as funcfilter
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from .sql.expression import not_ as not_
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from .sql.expression import nulls_first as nulls_first
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from .sql.expression import nulls_last as nulls_last
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from .sql.expression import or_ as or_
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from .sql.expression import over as over
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from .sql.expression import select as select
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from .sql.expression import tuple_ as tuple_
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from .sql.expression import type_coerce as type_coerce
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from .sql.expression import within_group as within_group
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from .sql.sqltypes import GUID as GUID
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from .sql.sqltypes import AutoString as AutoString
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@ -1,139 +0,0 @@
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import json
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import sqlite3
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from typing import Any, Callable, Dict, List, Optional, Type, Union
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from sqlalchemy import create_engine as _create_engine
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from sqlalchemy.engine.url import URL
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from sqlalchemy.future import Engine as _FutureEngine
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from sqlalchemy.pool import Pool
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from typing_extensions import Literal, TypedDict
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from ..default import Default, _DefaultPlaceholder
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# Types defined in sqlalchemy2-stubs, but can't be imported, so re-define here
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_Debug = Literal["debug"]
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_IsolationLevel = Literal[
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"SERIALIZABLE",
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"REPEATABLE READ",
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"READ COMMITTED",
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"READ UNCOMMITTED",
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"AUTOCOMMIT",
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]
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_ParamStyle = Literal["qmark", "numeric", "named", "format", "pyformat"]
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_ResetOnReturn = Literal["rollback", "commit"]
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class _SQLiteConnectArgs(TypedDict, total=False):
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timeout: float
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detect_types: Any
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isolation_level: Optional[Literal["DEFERRED", "IMMEDIATE", "EXCLUSIVE"]]
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check_same_thread: bool
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factory: Type[sqlite3.Connection]
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cached_statements: int
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uri: bool
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_ConnectArgs = Union[_SQLiteConnectArgs, Dict[str, Any]]
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# Re-define create_engine to have by default future=True, and assume that's what is used
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# Also show the default values used for each parameter, but don't set them unless
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# explicitly passed as arguments by the user to prevent errors. E.g. SQLite doesn't
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# support pool connection arguments.
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def create_engine(
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url: Union[str, URL],
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*,
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connect_args: _ConnectArgs = Default({}), # type: ignore
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echo: Union[bool, _Debug] = Default(False),
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echo_pool: Union[bool, _Debug] = Default(False),
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enable_from_linting: bool = Default(True),
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encoding: str = Default("utf-8"),
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execution_options: Dict[Any, Any] = Default({}),
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future: bool = True,
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hide_parameters: bool = Default(False),
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implicit_returning: bool = Default(True),
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isolation_level: Optional[_IsolationLevel] = Default(None),
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json_deserializer: Callable[..., Any] = Default(json.loads),
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json_serializer: Callable[..., Any] = Default(json.dumps),
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label_length: Optional[int] = Default(None),
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logging_name: Optional[str] = Default(None),
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max_identifier_length: Optional[int] = Default(None),
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max_overflow: int = Default(10),
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module: Optional[Any] = Default(None),
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paramstyle: Optional[_ParamStyle] = Default(None),
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pool: Optional[Pool] = Default(None),
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poolclass: Optional[Type[Pool]] = Default(None),
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pool_logging_name: Optional[str] = Default(None),
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pool_pre_ping: bool = Default(False),
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pool_size: int = Default(5),
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pool_recycle: int = Default(-1),
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pool_reset_on_return: Optional[_ResetOnReturn] = Default("rollback"),
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pool_timeout: float = Default(30),
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pool_use_lifo: bool = Default(False),
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plugins: Optional[List[str]] = Default(None),
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query_cache_size: Optional[int] = Default(None),
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**kwargs: Any,
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) -> _FutureEngine:
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current_kwargs: Dict[str, Any] = {
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"future": future,
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}
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if not isinstance(echo, _DefaultPlaceholder):
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current_kwargs["echo"] = echo
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if not isinstance(echo_pool, _DefaultPlaceholder):
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current_kwargs["echo_pool"] = echo_pool
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if not isinstance(enable_from_linting, _DefaultPlaceholder):
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current_kwargs["enable_from_linting"] = enable_from_linting
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if not isinstance(connect_args, _DefaultPlaceholder):
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current_kwargs["connect_args"] = connect_args
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if not isinstance(encoding, _DefaultPlaceholder):
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current_kwargs["encoding"] = encoding
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if not isinstance(execution_options, _DefaultPlaceholder):
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current_kwargs["execution_options"] = execution_options
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if not isinstance(hide_parameters, _DefaultPlaceholder):
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current_kwargs["hide_parameters"] = hide_parameters
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if not isinstance(implicit_returning, _DefaultPlaceholder):
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current_kwargs["implicit_returning"] = implicit_returning
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if not isinstance(isolation_level, _DefaultPlaceholder):
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current_kwargs["isolation_level"] = isolation_level
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if not isinstance(json_deserializer, _DefaultPlaceholder):
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current_kwargs["json_deserializer"] = json_deserializer
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if not isinstance(json_serializer, _DefaultPlaceholder):
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current_kwargs["json_serializer"] = json_serializer
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if not isinstance(label_length, _DefaultPlaceholder):
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current_kwargs["label_length"] = label_length
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if not isinstance(logging_name, _DefaultPlaceholder):
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current_kwargs["logging_name"] = logging_name
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if not isinstance(max_identifier_length, _DefaultPlaceholder):
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current_kwargs["max_identifier_length"] = max_identifier_length
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if not isinstance(max_overflow, _DefaultPlaceholder):
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current_kwargs["max_overflow"] = max_overflow
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if not isinstance(module, _DefaultPlaceholder):
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current_kwargs["module"] = module
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if not isinstance(paramstyle, _DefaultPlaceholder):
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current_kwargs["paramstyle"] = paramstyle
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if not isinstance(pool, _DefaultPlaceholder):
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current_kwargs["pool"] = pool
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if not isinstance(poolclass, _DefaultPlaceholder):
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current_kwargs["poolclass"] = poolclass
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if not isinstance(pool_logging_name, _DefaultPlaceholder):
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current_kwargs["pool_logging_name"] = pool_logging_name
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if not isinstance(pool_pre_ping, _DefaultPlaceholder):
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current_kwargs["pool_pre_ping"] = pool_pre_ping
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if not isinstance(pool_size, _DefaultPlaceholder):
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current_kwargs["pool_size"] = pool_size
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if not isinstance(pool_recycle, _DefaultPlaceholder):
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current_kwargs["pool_recycle"] = pool_recycle
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if not isinstance(pool_reset_on_return, _DefaultPlaceholder):
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current_kwargs["pool_reset_on_return"] = pool_reset_on_return
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if not isinstance(pool_timeout, _DefaultPlaceholder):
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current_kwargs["pool_timeout"] = pool_timeout
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if not isinstance(pool_use_lifo, _DefaultPlaceholder):
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current_kwargs["pool_use_lifo"] = pool_use_lifo
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if not isinstance(plugins, _DefaultPlaceholder):
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current_kwargs["plugins"] = plugins
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if not isinstance(query_cache_size, _DefaultPlaceholder):
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current_kwargs["query_cache_size"] = query_cache_size
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current_kwargs.update(kwargs)
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return _create_engine(url, **current_kwargs) # type: ignore
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@ -1,79 +0,0 @@
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from typing import Generic, Iterator, List, Optional, TypeVar
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from sqlalchemy.engine.result import Result as _Result
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from sqlalchemy.engine.result import ScalarResult as _ScalarResult
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_T = TypeVar("_T")
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class ScalarResult(_ScalarResult, Generic[_T]):
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def all(self) -> List[_T]:
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return super().all()
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def partitions(self, size: Optional[int] = None) -> Iterator[List[_T]]:
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return super().partitions(size)
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def fetchall(self) -> List[_T]:
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return super().fetchall()
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def fetchmany(self, size: Optional[int] = None) -> List[_T]:
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return super().fetchmany(size)
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def __iter__(self) -> Iterator[_T]:
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return super().__iter__()
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def __next__(self) -> _T:
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return super().__next__() # type: ignore
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def first(self) -> Optional[_T]:
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return super().first()
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def one_or_none(self) -> Optional[_T]:
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return super().one_or_none()
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def one(self) -> _T:
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return super().one() # type: ignore
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class Result(_Result, Generic[_T]):
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def scalars(self, index: int = 0) -> ScalarResult[_T]:
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return super().scalars(index) # type: ignore
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def __iter__(self) -> Iterator[_T]: # type: ignore
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return super().__iter__() # type: ignore
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def __next__(self) -> _T: # type: ignore
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return super().__next__() # type: ignore
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def partitions(self, size: Optional[int] = None) -> Iterator[List[_T]]: # type: ignore
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return super().partitions(size) # type: ignore
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def fetchall(self) -> List[_T]: # type: ignore
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return super().fetchall() # type: ignore
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def fetchone(self) -> Optional[_T]: # type: ignore
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return super().fetchone() # type: ignore
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def fetchmany(self, size: Optional[int] = None) -> List[_T]: # type: ignore
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return super().fetchmany() # type: ignore
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def all(self) -> List[_T]: # type: ignore
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return super().all() # type: ignore
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def first(self) -> Optional[_T]: # type: ignore
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return super().first() # type: ignore
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def one_or_none(self) -> Optional[_T]: # type: ignore
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return super().one_or_none() # type: ignore
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def scalar_one(self) -> _T:
|
||||
return super().scalar_one() # type: ignore
|
||||
|
||||
def scalar_one_or_none(self) -> Optional[_T]:
|
||||
return super().scalar_one_or_none()
|
||||
|
||||
def one(self) -> _T: # type: ignore
|
||||
return super().one() # type: ignore
|
||||
|
||||
def scalar(self) -> Optional[_T]:
|
||||
return super().scalar()
|
@ -1,45 +1,38 @@
|
||||
from typing import Any, Mapping, Optional, Sequence, TypeVar, Union, overload
|
||||
from typing import (
|
||||
Any,
|
||||
Dict,
|
||||
Mapping,
|
||||
Optional,
|
||||
Sequence,
|
||||
Type,
|
||||
TypeVar,
|
||||
Union,
|
||||
cast,
|
||||
overload,
|
||||
)
|
||||
|
||||
from sqlalchemy import util
|
||||
from sqlalchemy.engine.interfaces import _CoreAnyExecuteParams
|
||||
from sqlalchemy.engine.result import Result, ScalarResult, TupleResult
|
||||
from sqlalchemy.ext.asyncio import AsyncSession as _AsyncSession
|
||||
from sqlalchemy.ext.asyncio import engine
|
||||
from sqlalchemy.ext.asyncio.engine import AsyncConnection, AsyncEngine
|
||||
from sqlalchemy.ext.asyncio.result import _ensure_sync_result
|
||||
from sqlalchemy.ext.asyncio.session import _EXECUTE_OPTIONS
|
||||
from sqlalchemy.orm._typing import OrmExecuteOptionsParameter
|
||||
from sqlalchemy.sql.base import Executable as _Executable
|
||||
from sqlalchemy.util.concurrency import greenlet_spawn
|
||||
from typing_extensions import deprecated
|
||||
|
||||
from ...engine.result import Result, ScalarResult
|
||||
from ...orm.session import Session
|
||||
from ...sql.base import Executable
|
||||
from ...sql.expression import Select, SelectOfScalar
|
||||
|
||||
_TSelectParam = TypeVar("_TSelectParam")
|
||||
_TSelectParam = TypeVar("_TSelectParam", bound=Any)
|
||||
|
||||
|
||||
class AsyncSession(_AsyncSession):
|
||||
sync_session_class: Type[Session] = Session
|
||||
sync_session: Session
|
||||
|
||||
def __init__(
|
||||
self,
|
||||
bind: Optional[Union[AsyncConnection, AsyncEngine]] = None,
|
||||
binds: Optional[Mapping[object, Union[AsyncConnection, AsyncEngine]]] = None,
|
||||
**kw: Any,
|
||||
):
|
||||
# All the same code of the original AsyncSession
|
||||
kw["future"] = True
|
||||
if bind:
|
||||
self.bind = bind
|
||||
bind = engine._get_sync_engine_or_connection(bind) # type: ignore
|
||||
|
||||
if binds:
|
||||
self.binds = binds
|
||||
binds = {
|
||||
key: engine._get_sync_engine_or_connection(b) # type: ignore
|
||||
for key, b in binds.items()
|
||||
}
|
||||
|
||||
self.sync_session = self._proxied = self._assign_proxied( # type: ignore
|
||||
Session(bind=bind, binds=binds, **kw) # type: ignore
|
||||
)
|
||||
|
||||
@overload
|
||||
async def exec(
|
||||
self,
|
||||
@ -47,11 +40,10 @@ class AsyncSession(_AsyncSession):
|
||||
*,
|
||||
params: Optional[Union[Mapping[str, Any], Sequence[Mapping[str, Any]]]] = None,
|
||||
execution_options: Mapping[str, Any] = util.EMPTY_DICT,
|
||||
bind_arguments: Optional[Mapping[str, Any]] = None,
|
||||
bind_arguments: Optional[Dict[str, Any]] = None,
|
||||
_parent_execute_state: Optional[Any] = None,
|
||||
_add_event: Optional[Any] = None,
|
||||
**kw: Any,
|
||||
) -> Result[_TSelectParam]:
|
||||
) -> TupleResult[_TSelectParam]:
|
||||
...
|
||||
|
||||
@overload
|
||||
@ -61,10 +53,9 @@ class AsyncSession(_AsyncSession):
|
||||
*,
|
||||
params: Optional[Union[Mapping[str, Any], Sequence[Mapping[str, Any]]]] = None,
|
||||
execution_options: Mapping[str, Any] = util.EMPTY_DICT,
|
||||
bind_arguments: Optional[Mapping[str, Any]] = None,
|
||||
bind_arguments: Optional[Dict[str, Any]] = None,
|
||||
_parent_execute_state: Optional[Any] = None,
|
||||
_add_event: Optional[Any] = None,
|
||||
**kw: Any,
|
||||
) -> ScalarResult[_TSelectParam]:
|
||||
...
|
||||
|
||||
@ -75,20 +66,87 @@ class AsyncSession(_AsyncSession):
|
||||
SelectOfScalar[_TSelectParam],
|
||||
Executable[_TSelectParam],
|
||||
],
|
||||
*,
|
||||
params: Optional[Union[Mapping[str, Any], Sequence[Mapping[str, Any]]]] = None,
|
||||
execution_options: Mapping[Any, Any] = util.EMPTY_DICT,
|
||||
bind_arguments: Optional[Mapping[str, Any]] = None,
|
||||
**kw: Any,
|
||||
) -> Union[Result[_TSelectParam], ScalarResult[_TSelectParam]]:
|
||||
# TODO: the documentation says execution_options accepts a dict, but only
|
||||
# util.immutabledict has the union() method. Is this a bug in SQLAlchemy?
|
||||
execution_options = execution_options.union({"prebuffer_rows": True}) # type: ignore
|
||||
execution_options: Mapping[str, Any] = util.EMPTY_DICT,
|
||||
bind_arguments: Optional[Dict[str, Any]] = None,
|
||||
_parent_execute_state: Optional[Any] = None,
|
||||
_add_event: Optional[Any] = None,
|
||||
) -> Union[TupleResult[_TSelectParam], ScalarResult[_TSelectParam]]:
|
||||
if execution_options:
|
||||
execution_options = util.immutabledict(execution_options).union(
|
||||
_EXECUTE_OPTIONS
|
||||
)
|
||||
else:
|
||||
execution_options = _EXECUTE_OPTIONS
|
||||
|
||||
return await greenlet_spawn(
|
||||
result = await greenlet_spawn(
|
||||
self.sync_session.exec,
|
||||
statement,
|
||||
params=params,
|
||||
execution_options=execution_options,
|
||||
bind_arguments=bind_arguments,
|
||||
**kw,
|
||||
_parent_execute_state=_parent_execute_state,
|
||||
_add_event=_add_event,
|
||||
)
|
||||
result_value = await _ensure_sync_result(
|
||||
cast(Result[_TSelectParam], result), self.exec
|
||||
)
|
||||
return result_value # type: ignore
|
||||
|
||||
@deprecated(
|
||||
"""
|
||||
🚨 You probably want to use `session.exec()` instead of `session.execute()`.
|
||||
|
||||
This is the original SQLAlchemy `session.execute()` method that returns objects
|
||||
of type `Row`, and that you have to call `scalars()` to get the model objects.
|
||||
|
||||
For example:
|
||||
|
||||
```Python
|
||||
heroes = await session.execute(select(Hero)).scalars().all()
|
||||
```
|
||||
|
||||
instead you could use `exec()`:
|
||||
|
||||
```Python
|
||||
heroes = await session.exec(select(Hero)).all()
|
||||
```
|
||||
"""
|
||||
)
|
||||
async def execute( # type: ignore
|
||||
self,
|
||||
statement: _Executable,
|
||||
params: Optional[_CoreAnyExecuteParams] = None,
|
||||
*,
|
||||
execution_options: OrmExecuteOptionsParameter = util.EMPTY_DICT,
|
||||
bind_arguments: Optional[Dict[str, Any]] = None,
|
||||
_parent_execute_state: Optional[Any] = None,
|
||||
_add_event: Optional[Any] = None,
|
||||
) -> Result[Any]:
|
||||
"""
|
||||
🚨 You probably want to use `session.exec()` instead of `session.execute()`.
|
||||
|
||||
This is the original SQLAlchemy `session.execute()` method that returns objects
|
||||
of type `Row`, and that you have to call `scalars()` to get the model objects.
|
||||
|
||||
For example:
|
||||
|
||||
```Python
|
||||
heroes = await session.execute(select(Hero)).scalars().all()
|
||||
```
|
||||
|
||||
instead you could use `exec()`:
|
||||
|
||||
```Python
|
||||
heroes = await session.exec(select(Hero)).all()
|
||||
```
|
||||
"""
|
||||
return await super().execute(
|
||||
statement,
|
||||
params=params,
|
||||
execution_options=execution_options,
|
||||
bind_arguments=bind_arguments,
|
||||
_parent_execute_state=_parent_execute_state,
|
||||
_add_event=_add_event,
|
||||
)
|
||||
|
@ -45,12 +45,19 @@ from sqlalchemy import (
|
||||
inspect,
|
||||
)
|
||||
from sqlalchemy import Enum as sa_Enum
|
||||
from sqlalchemy.orm import RelationshipProperty, declared_attr, registry, relationship
|
||||
from sqlalchemy.orm import (
|
||||
Mapped,
|
||||
RelationshipProperty,
|
||||
declared_attr,
|
||||
registry,
|
||||
relationship,
|
||||
)
|
||||
from sqlalchemy.orm.attributes import set_attribute
|
||||
from sqlalchemy.orm.decl_api import DeclarativeMeta
|
||||
from sqlalchemy.orm.instrumentation import is_instrumented
|
||||
from sqlalchemy.sql.schema import MetaData
|
||||
from sqlalchemy.sql.sqltypes import LargeBinary, Time
|
||||
from typing_extensions import get_origin
|
||||
|
||||
from .sql.sqltypes import GUID, AutoString
|
||||
|
||||
@ -483,7 +490,16 @@ class SQLModelMetaclass(ModelMetaclass, DeclarativeMeta):
|
||||
# over anything else, use that and continue with the next attribute
|
||||
setattr(cls, rel_name, rel_info.sa_relationship) # Fix #315
|
||||
continue
|
||||
ann = cls.__annotations__[rel_name]
|
||||
raw_ann = cls.__annotations__[rel_name]
|
||||
origin = get_origin(raw_ann)
|
||||
if origin is Mapped:
|
||||
ann = raw_ann.__args__[0]
|
||||
else:
|
||||
ann = raw_ann
|
||||
# Plain forward references, for models not yet defined, are not
|
||||
# handled well by SQLAlchemy without Mapped, so, wrap the
|
||||
# annotations in Mapped here
|
||||
cls.__annotations__[rel_name] = Mapped[ann] # type: ignore[valid-type]
|
||||
temp_field = ModelField.infer(
|
||||
name=rel_name,
|
||||
value=rel_info,
|
||||
@ -511,9 +527,7 @@ class SQLModelMetaclass(ModelMetaclass, DeclarativeMeta):
|
||||
rel_args.extend(rel_info.sa_relationship_args)
|
||||
if rel_info.sa_relationship_kwargs:
|
||||
rel_kwargs.update(rel_info.sa_relationship_kwargs)
|
||||
rel_value: RelationshipProperty = relationship( # type: ignore
|
||||
relationship_to, *rel_args, **rel_kwargs
|
||||
)
|
||||
rel_value = relationship(relationship_to, *rel_args, **rel_kwargs)
|
||||
setattr(cls, rel_name, rel_value) # Fix #315
|
||||
# SQLAlchemy no longer uses dict_
|
||||
# Ref: https://github.com/sqlalchemy/sqlalchemy/commit/428ea01f00a9cc7f85e435018565eb6da7af1b77
|
||||
@ -642,6 +656,7 @@ class SQLModel(BaseModel, metaclass=SQLModelMetaclass, registry=default_registry
|
||||
__sqlmodel_relationships__: ClassVar[Dict[str, RelationshipProperty]] # type: ignore
|
||||
__name__: ClassVar[str]
|
||||
metadata: ClassVar[MetaData]
|
||||
__allow_unmapped__ = True # https://docs.sqlalchemy.org/en/20/changelog/migration_20.html#migration-20-step-six
|
||||
|
||||
class Config:
|
||||
orm_mode = True
|
||||
@ -685,7 +700,7 @@ class SQLModel(BaseModel, metaclass=SQLModelMetaclass, registry=default_registry
|
||||
return
|
||||
else:
|
||||
# Set in SQLAlchemy, before Pydantic to trigger events and updates
|
||||
if getattr(self.__config__, "table", False) and is_instrumented(self, name):
|
||||
if getattr(self.__config__, "table", False) and is_instrumented(self, name): # type: ignore
|
||||
set_attribute(self, name, value)
|
||||
# Set in Pydantic model to trigger possible validation changes, only for
|
||||
# non relationship values
|
||||
|
@ -1,16 +1,27 @@
|
||||
from typing import Any, Mapping, Optional, Sequence, Type, TypeVar, Union, overload
|
||||
from typing import (
|
||||
Any,
|
||||
Dict,
|
||||
Mapping,
|
||||
Optional,
|
||||
Sequence,
|
||||
TypeVar,
|
||||
Union,
|
||||
overload,
|
||||
)
|
||||
|
||||
from sqlalchemy import util
|
||||
from sqlalchemy.engine.interfaces import _CoreAnyExecuteParams
|
||||
from sqlalchemy.engine.result import Result, ScalarResult, TupleResult
|
||||
from sqlalchemy.orm import Query as _Query
|
||||
from sqlalchemy.orm import Session as _Session
|
||||
from sqlalchemy.orm._typing import OrmExecuteOptionsParameter
|
||||
from sqlalchemy.sql._typing import _ColumnsClauseArgument
|
||||
from sqlalchemy.sql.base import Executable as _Executable
|
||||
from typing_extensions import Literal
|
||||
from sqlmodel.sql.base import Executable
|
||||
from sqlmodel.sql.expression import Select, SelectOfScalar
|
||||
from typing_extensions import deprecated
|
||||
|
||||
from ..engine.result import Result, ScalarResult
|
||||
from ..sql.base import Executable
|
||||
from ..sql.expression import Select, SelectOfScalar
|
||||
|
||||
_TSelectParam = TypeVar("_TSelectParam")
|
||||
_TSelectParam = TypeVar("_TSelectParam", bound=Any)
|
||||
|
||||
|
||||
class Session(_Session):
|
||||
@ -21,11 +32,10 @@ class Session(_Session):
|
||||
*,
|
||||
params: Optional[Union[Mapping[str, Any], Sequence[Mapping[str, Any]]]] = None,
|
||||
execution_options: Mapping[str, Any] = util.EMPTY_DICT,
|
||||
bind_arguments: Optional[Mapping[str, Any]] = None,
|
||||
bind_arguments: Optional[Dict[str, Any]] = None,
|
||||
_parent_execute_state: Optional[Any] = None,
|
||||
_add_event: Optional[Any] = None,
|
||||
**kw: Any,
|
||||
) -> Result[_TSelectParam]:
|
||||
) -> TupleResult[_TSelectParam]:
|
||||
...
|
||||
|
||||
@overload
|
||||
@ -35,10 +45,9 @@ class Session(_Session):
|
||||
*,
|
||||
params: Optional[Union[Mapping[str, Any], Sequence[Mapping[str, Any]]]] = None,
|
||||
execution_options: Mapping[str, Any] = util.EMPTY_DICT,
|
||||
bind_arguments: Optional[Mapping[str, Any]] = None,
|
||||
bind_arguments: Optional[Dict[str, Any]] = None,
|
||||
_parent_execute_state: Optional[Any] = None,
|
||||
_add_event: Optional[Any] = None,
|
||||
**kw: Any,
|
||||
) -> ScalarResult[_TSelectParam]:
|
||||
...
|
||||
|
||||
@ -52,11 +61,10 @@ class Session(_Session):
|
||||
*,
|
||||
params: Optional[Union[Mapping[str, Any], Sequence[Mapping[str, Any]]]] = None,
|
||||
execution_options: Mapping[str, Any] = util.EMPTY_DICT,
|
||||
bind_arguments: Optional[Mapping[str, Any]] = None,
|
||||
bind_arguments: Optional[Dict[str, Any]] = None,
|
||||
_parent_execute_state: Optional[Any] = None,
|
||||
_add_event: Optional[Any] = None,
|
||||
**kw: Any,
|
||||
) -> Union[Result[_TSelectParam], ScalarResult[_TSelectParam]]:
|
||||
) -> Union[TupleResult[_TSelectParam], ScalarResult[_TSelectParam]]:
|
||||
results = super().execute(
|
||||
statement,
|
||||
params=params,
|
||||
@ -64,21 +72,40 @@ class Session(_Session):
|
||||
bind_arguments=bind_arguments,
|
||||
_parent_execute_state=_parent_execute_state,
|
||||
_add_event=_add_event,
|
||||
**kw,
|
||||
)
|
||||
if isinstance(statement, SelectOfScalar):
|
||||
return results.scalars() # type: ignore
|
||||
return results.scalars()
|
||||
return results # type: ignore
|
||||
|
||||
def execute(
|
||||
@deprecated(
|
||||
"""
|
||||
🚨 You probably want to use `session.exec()` instead of `session.execute()`.
|
||||
|
||||
This is the original SQLAlchemy `session.execute()` method that returns objects
|
||||
of type `Row`, and that you have to call `scalars()` to get the model objects.
|
||||
|
||||
For example:
|
||||
|
||||
```Python
|
||||
heroes = session.execute(select(Hero)).scalars().all()
|
||||
```
|
||||
|
||||
instead you could use `exec()`:
|
||||
|
||||
```Python
|
||||
heroes = session.exec(select(Hero)).all()
|
||||
```
|
||||
"""
|
||||
)
|
||||
def execute( # type: ignore
|
||||
self,
|
||||
statement: _Executable,
|
||||
params: Optional[Union[Mapping[str, Any], Sequence[Mapping[str, Any]]]] = None,
|
||||
execution_options: Optional[Mapping[str, Any]] = util.EMPTY_DICT,
|
||||
bind_arguments: Optional[Mapping[str, Any]] = None,
|
||||
params: Optional[_CoreAnyExecuteParams] = None,
|
||||
*,
|
||||
execution_options: OrmExecuteOptionsParameter = util.EMPTY_DICT,
|
||||
bind_arguments: Optional[Dict[str, Any]] = None,
|
||||
_parent_execute_state: Optional[Any] = None,
|
||||
_add_event: Optional[Any] = None,
|
||||
**kw: Any,
|
||||
) -> Result[Any]:
|
||||
"""
|
||||
🚨 You probably want to use `session.exec()` instead of `session.execute()`.
|
||||
@ -98,17 +125,29 @@ class Session(_Session):
|
||||
heroes = session.exec(select(Hero)).all()
|
||||
```
|
||||
"""
|
||||
return super().execute( # type: ignore
|
||||
return super().execute(
|
||||
statement,
|
||||
params=params,
|
||||
execution_options=execution_options,
|
||||
bind_arguments=bind_arguments,
|
||||
_parent_execute_state=_parent_execute_state,
|
||||
_add_event=_add_event,
|
||||
**kw,
|
||||
)
|
||||
|
||||
def query(self, *entities: Any, **kwargs: Any) -> "_Query[Any]":
|
||||
@deprecated(
|
||||
"""
|
||||
🚨 You probably want to use `session.exec()` instead of `session.query()`.
|
||||
|
||||
`session.exec()` is SQLModel's own short version with increased type
|
||||
annotations.
|
||||
|
||||
Or otherwise you might want to use `session.execute()` instead of
|
||||
`session.query()`.
|
||||
"""
|
||||
)
|
||||
def query( # type: ignore
|
||||
self, *entities: _ColumnsClauseArgument[Any], **kwargs: Any
|
||||
) -> _Query[Any]:
|
||||
"""
|
||||
🚨 You probably want to use `session.exec()` instead of `session.query()`.
|
||||
|
||||
@ -119,23 +158,3 @@ class Session(_Session):
|
||||
`session.query()`.
|
||||
"""
|
||||
return super().query(*entities, **kwargs)
|
||||
|
||||
def get(
|
||||
self,
|
||||
entity: Type[_TSelectParam],
|
||||
ident: Any,
|
||||
options: Optional[Sequence[Any]] = None,
|
||||
populate_existing: bool = False,
|
||||
with_for_update: Optional[Union[Literal[True], Mapping[str, Any]]] = None,
|
||||
identity_token: Optional[Any] = None,
|
||||
execution_options: Optional[Mapping[Any, Any]] = util.EMPTY_DICT,
|
||||
) -> Optional[_TSelectParam]:
|
||||
return super().get(
|
||||
entity,
|
||||
ident,
|
||||
options=options,
|
||||
populate_existing=populate_existing,
|
||||
with_for_update=with_for_update,
|
||||
identity_token=identity_token,
|
||||
execution_options=execution_options,
|
||||
)
|
||||
|
@ -2,10 +2,10 @@
|
||||
|
||||
from datetime import datetime
|
||||
from typing import (
|
||||
TYPE_CHECKING,
|
||||
Any,
|
||||
Generic,
|
||||
Iterable,
|
||||
Mapping,
|
||||
Optional,
|
||||
Sequence,
|
||||
Tuple,
|
||||
Type,
|
||||
@ -15,15 +15,223 @@ from typing import (
|
||||
)
|
||||
from uuid import UUID
|
||||
|
||||
from sqlalchemy import Column
|
||||
from sqlalchemy.orm import InstrumentedAttribute
|
||||
from sqlalchemy.sql.elements import ColumnClause
|
||||
import sqlalchemy
|
||||
from sqlalchemy import (
|
||||
Column,
|
||||
ColumnElement,
|
||||
Extract,
|
||||
FunctionElement,
|
||||
FunctionFilter,
|
||||
Label,
|
||||
Over,
|
||||
TypeCoerce,
|
||||
WithinGroup,
|
||||
)
|
||||
from sqlalchemy.orm import InstrumentedAttribute, Mapped
|
||||
from sqlalchemy.sql._typing import (
|
||||
_ColumnExpressionArgument,
|
||||
_ColumnExpressionOrLiteralArgument,
|
||||
_ColumnExpressionOrStrLabelArgument,
|
||||
)
|
||||
from sqlalchemy.sql.elements import (
|
||||
BinaryExpression,
|
||||
Case,
|
||||
Cast,
|
||||
CollectionAggregate,
|
||||
ColumnClause,
|
||||
SQLCoreOperations,
|
||||
TryCast,
|
||||
UnaryExpression,
|
||||
)
|
||||
from sqlalchemy.sql.expression import Select as _Select
|
||||
from sqlalchemy.sql.roles import TypedColumnsClauseRole
|
||||
from sqlalchemy.sql.type_api import TypeEngine
|
||||
from typing_extensions import Literal, Self
|
||||
|
||||
_TSelect = TypeVar("_TSelect")
|
||||
_T = TypeVar("_T")
|
||||
|
||||
_TypeEngineArgument = Union[Type[TypeEngine[_T]], TypeEngine[_T]]
|
||||
|
||||
# Redefine operatos that would only take a column expresion to also take the (virtual)
|
||||
# types of Pydantic models, e.g. str instead of only Mapped[str].
|
||||
|
||||
|
||||
class Select(_Select, Generic[_TSelect]):
|
||||
def all_(expr: Union[_ColumnExpressionArgument[_T], _T]) -> CollectionAggregate[bool]:
|
||||
return sqlalchemy.all_(expr) # type: ignore[arg-type]
|
||||
|
||||
|
||||
def and_(
|
||||
initial_clause: Union[Literal[True], _ColumnExpressionArgument[bool], bool],
|
||||
*clauses: Union[_ColumnExpressionArgument[bool], bool],
|
||||
) -> ColumnElement[bool]:
|
||||
return sqlalchemy.and_(initial_clause, *clauses) # type: ignore[arg-type]
|
||||
|
||||
|
||||
def any_(expr: Union[_ColumnExpressionArgument[_T], _T]) -> CollectionAggregate[bool]:
|
||||
return sqlalchemy.any_(expr) # type: ignore[arg-type]
|
||||
|
||||
|
||||
def asc(
|
||||
column: Union[_ColumnExpressionOrStrLabelArgument[_T], _T],
|
||||
) -> UnaryExpression[_T]:
|
||||
return sqlalchemy.asc(column) # type: ignore[arg-type]
|
||||
|
||||
|
||||
def collate(
|
||||
expression: Union[_ColumnExpressionArgument[str], str], collation: str
|
||||
) -> BinaryExpression[str]:
|
||||
return sqlalchemy.collate(expression, collation) # type: ignore[arg-type]
|
||||
|
||||
|
||||
def between(
|
||||
expr: Union[_ColumnExpressionOrLiteralArgument[_T], _T],
|
||||
lower_bound: Any,
|
||||
upper_bound: Any,
|
||||
symmetric: bool = False,
|
||||
) -> BinaryExpression[bool]:
|
||||
return sqlalchemy.between(expr, lower_bound, upper_bound, symmetric=symmetric) # type: ignore[arg-type]
|
||||
|
||||
|
||||
def not_(clause: Union[_ColumnExpressionArgument[_T], _T]) -> ColumnElement[_T]:
|
||||
return sqlalchemy.not_(clause) # type: ignore[arg-type]
|
||||
|
||||
|
||||
def case(
|
||||
*whens: Union[
|
||||
Tuple[Union[_ColumnExpressionArgument[bool], bool], Any], Mapping[Any, Any]
|
||||
],
|
||||
value: Optional[Any] = None,
|
||||
else_: Optional[Any] = None,
|
||||
) -> Case[Any]:
|
||||
return sqlalchemy.case(*whens, value=value, else_=else_) # type: ignore[arg-type]
|
||||
|
||||
|
||||
def cast(
|
||||
expression: Union[_ColumnExpressionOrLiteralArgument[Any], Any],
|
||||
type_: "_TypeEngineArgument[_T]",
|
||||
) -> Cast[_T]:
|
||||
return sqlalchemy.cast(expression, type_) # type: ignore[arg-type]
|
||||
|
||||
|
||||
def try_cast(
|
||||
expression: Union[_ColumnExpressionOrLiteralArgument[Any], Any],
|
||||
type_: "_TypeEngineArgument[_T]",
|
||||
) -> TryCast[_T]:
|
||||
return sqlalchemy.try_cast(expression, type_) # type: ignore[arg-type]
|
||||
|
||||
|
||||
def desc(
|
||||
column: Union[_ColumnExpressionOrStrLabelArgument[_T], _T],
|
||||
) -> UnaryExpression[_T]:
|
||||
return sqlalchemy.desc(column) # type: ignore[arg-type]
|
||||
|
||||
|
||||
def distinct(expr: Union[_ColumnExpressionArgument[_T], _T]) -> UnaryExpression[_T]:
|
||||
return sqlalchemy.distinct(expr) # type: ignore[arg-type]
|
||||
|
||||
|
||||
def bitwise_not(expr: Union[_ColumnExpressionArgument[_T], _T]) -> UnaryExpression[_T]:
|
||||
return sqlalchemy.bitwise_not(expr) # type: ignore[arg-type]
|
||||
|
||||
|
||||
def extract(field: str, expr: Union[_ColumnExpressionArgument[Any], Any]) -> Extract:
|
||||
return sqlalchemy.extract(field, expr) # type: ignore[arg-type]
|
||||
|
||||
|
||||
def funcfilter(
|
||||
func: FunctionElement[_T], *criterion: Union[_ColumnExpressionArgument[bool], bool]
|
||||
) -> FunctionFilter[_T]:
|
||||
return sqlalchemy.funcfilter(func, *criterion) # type: ignore[arg-type]
|
||||
|
||||
|
||||
def label(
|
||||
name: str,
|
||||
element: Union[_ColumnExpressionArgument[_T], _T],
|
||||
type_: Optional["_TypeEngineArgument[_T]"] = None,
|
||||
) -> Label[_T]:
|
||||
return sqlalchemy.label(name, element, type_=type_) # type: ignore[arg-type]
|
||||
|
||||
|
||||
def nulls_first(
|
||||
column: Union[_ColumnExpressionArgument[_T], _T]
|
||||
) -> UnaryExpression[_T]:
|
||||
return sqlalchemy.nulls_first(column) # type: ignore[arg-type]
|
||||
|
||||
|
||||
def nulls_last(column: Union[_ColumnExpressionArgument[_T], _T]) -> UnaryExpression[_T]:
|
||||
return sqlalchemy.nulls_last(column) # type: ignore[arg-type]
|
||||
|
||||
|
||||
def or_( # type: ignore[empty-body]
|
||||
initial_clause: Union[Literal[False], _ColumnExpressionArgument[bool], bool],
|
||||
*clauses: Union[_ColumnExpressionArgument[bool], bool],
|
||||
) -> ColumnElement[bool]:
|
||||
return sqlalchemy.or_(initial_clause, *clauses) # type: ignore[arg-type]
|
||||
|
||||
|
||||
def over(
|
||||
element: FunctionElement[_T],
|
||||
partition_by: Optional[
|
||||
Union[
|
||||
Iterable[Union[_ColumnExpressionArgument[Any], Any]],
|
||||
_ColumnExpressionArgument[Any],
|
||||
Any,
|
||||
]
|
||||
] = None,
|
||||
order_by: Optional[
|
||||
Union[
|
||||
Iterable[Union[_ColumnExpressionArgument[Any], Any]],
|
||||
_ColumnExpressionArgument[Any],
|
||||
Any,
|
||||
]
|
||||
] = None,
|
||||
range_: Optional[Tuple[Optional[int], Optional[int]]] = None,
|
||||
rows: Optional[Tuple[Optional[int], Optional[int]]] = None,
|
||||
) -> Over[_T]:
|
||||
return sqlalchemy.over(
|
||||
element, partition_by=partition_by, order_by=order_by, range_=range_, rows=rows
|
||||
) # type: ignore[arg-type]
|
||||
|
||||
|
||||
def tuple_(
|
||||
*clauses: Union[_ColumnExpressionArgument[Any], Any],
|
||||
types: Optional[Sequence["_TypeEngineArgument[Any]"]] = None,
|
||||
) -> Tuple[Any, ...]:
|
||||
return sqlalchemy.tuple_(*clauses, types=types) # type: ignore[return-value]
|
||||
|
||||
|
||||
def type_coerce(
|
||||
expression: Union[_ColumnExpressionOrLiteralArgument[Any], Any],
|
||||
type_: "_TypeEngineArgument[_T]",
|
||||
) -> TypeCoerce[_T]:
|
||||
return sqlalchemy.type_coerce(expression, type_) # type: ignore[arg-type]
|
||||
|
||||
|
||||
def within_group(
|
||||
element: FunctionElement[_T], *order_by: Union[_ColumnExpressionArgument[Any], Any]
|
||||
) -> WithinGroup[_T]:
|
||||
return sqlalchemy.within_group(element, *order_by) # type: ignore[arg-type]
|
||||
|
||||
|
||||
# Separate this class in SelectBase, Select, and SelectOfScalar so that they can share
|
||||
# where and having without having type overlap incompatibility in session.exec().
|
||||
class SelectBase(_Select[Tuple[_T]]):
|
||||
inherit_cache = True
|
||||
|
||||
def where(self, *whereclause: Union[_ColumnExpressionArgument[bool], bool]) -> Self:
|
||||
"""Return a new `Select` construct with the given expression added to
|
||||
its `WHERE` clause, joined to the existing clause via `AND`, if any.
|
||||
"""
|
||||
return super().where(*whereclause) # type: ignore[arg-type]
|
||||
|
||||
def having(self, *having: Union[_ColumnExpressionArgument[bool], bool]) -> Self:
|
||||
"""Return a new `Select` construct with the given expression added to
|
||||
its `HAVING` clause, joined to the existing clause via `AND`, if any.
|
||||
"""
|
||||
return super().having(*having) # type: ignore[arg-type]
|
||||
|
||||
|
||||
class Select(SelectBase[_T]):
|
||||
inherit_cache = True
|
||||
|
||||
|
||||
@ -31,12 +239,15 @@ class Select(_Select, Generic[_TSelect]):
|
||||
# purpose. This is the same as a normal SQLAlchemy Select class where there's only one
|
||||
# entity, so the result will be converted to a scalar by default. This way writing
|
||||
# for loops on the results will feel natural.
|
||||
class SelectOfScalar(_Select, Generic[_TSelect]):
|
||||
class SelectOfScalar(SelectBase[_T]):
|
||||
inherit_cache = True
|
||||
|
||||
|
||||
if TYPE_CHECKING: # pragma: no cover
|
||||
from ..main import SQLModel
|
||||
_TCCA = Union[
|
||||
TypedColumnsClauseRole[_T],
|
||||
SQLCoreOperations[_T],
|
||||
Type[_T],
|
||||
]
|
||||
|
||||
# Generated TypeVars start
|
||||
|
||||
@ -56,7 +267,7 @@ _TScalar_0 = TypeVar(
|
||||
None,
|
||||
)
|
||||
|
||||
_TModel_0 = TypeVar("_TModel_0", bound="SQLModel")
|
||||
_T0 = TypeVar("_T0")
|
||||
|
||||
|
||||
_TScalar_1 = TypeVar(
|
||||
@ -74,7 +285,7 @@ _TScalar_1 = TypeVar(
|
||||
None,
|
||||
)
|
||||
|
||||
_TModel_1 = TypeVar("_TModel_1", bound="SQLModel")
|
||||
_T1 = TypeVar("_T1")
|
||||
|
||||
|
||||
_TScalar_2 = TypeVar(
|
||||
@ -92,7 +303,7 @@ _TScalar_2 = TypeVar(
|
||||
None,
|
||||
)
|
||||
|
||||
_TModel_2 = TypeVar("_TModel_2", bound="SQLModel")
|
||||
_T2 = TypeVar("_T2")
|
||||
|
||||
|
||||
_TScalar_3 = TypeVar(
|
||||
@ -110,19 +321,19 @@ _TScalar_3 = TypeVar(
|
||||
None,
|
||||
)
|
||||
|
||||
_TModel_3 = TypeVar("_TModel_3", bound="SQLModel")
|
||||
_T3 = TypeVar("_T3")
|
||||
|
||||
|
||||
# Generated TypeVars end
|
||||
|
||||
|
||||
@overload
|
||||
def select(entity_0: _TScalar_0, **kw: Any) -> SelectOfScalar[_TScalar_0]: # type: ignore
|
||||
def select(__ent0: _TScalar_0) -> SelectOfScalar[_TScalar_0]: # type: ignore
|
||||
...
|
||||
|
||||
|
||||
@overload
|
||||
def select(entity_0: Type[_TModel_0], **kw: Any) -> SelectOfScalar[_TModel_0]: # type: ignore
|
||||
def select(__ent0: _TCCA[_T0]) -> SelectOfScalar[_T0]:
|
||||
...
|
||||
|
||||
|
||||
@ -133,7 +344,6 @@ def select(entity_0: Type[_TModel_0], **kw: Any) -> SelectOfScalar[_TModel_0]:
|
||||
def select( # type: ignore
|
||||
entity_0: _TScalar_0,
|
||||
entity_1: _TScalar_1,
|
||||
**kw: Any,
|
||||
) -> Select[Tuple[_TScalar_0, _TScalar_1]]:
|
||||
...
|
||||
|
||||
@ -141,27 +351,24 @@ def select( # type: ignore
|
||||
@overload
|
||||
def select( # type: ignore
|
||||
entity_0: _TScalar_0,
|
||||
entity_1: Type[_TModel_1],
|
||||
**kw: Any,
|
||||
) -> Select[Tuple[_TScalar_0, _TModel_1]]:
|
||||
__ent1: _TCCA[_T1],
|
||||
) -> Select[Tuple[_TScalar_0, _T1]]:
|
||||
...
|
||||
|
||||
|
||||
@overload
|
||||
def select( # type: ignore
|
||||
entity_0: Type[_TModel_0],
|
||||
__ent0: _TCCA[_T0],
|
||||
entity_1: _TScalar_1,
|
||||
**kw: Any,
|
||||
) -> Select[Tuple[_TModel_0, _TScalar_1]]:
|
||||
) -> Select[Tuple[_T0, _TScalar_1]]:
|
||||
...
|
||||
|
||||
|
||||
@overload
|
||||
def select( # type: ignore
|
||||
entity_0: Type[_TModel_0],
|
||||
entity_1: Type[_TModel_1],
|
||||
**kw: Any,
|
||||
) -> Select[Tuple[_TModel_0, _TModel_1]]:
|
||||
__ent0: _TCCA[_T0],
|
||||
__ent1: _TCCA[_T1],
|
||||
) -> Select[Tuple[_T0, _T1]]:
|
||||
...
|
||||
|
||||
|
||||
@ -170,7 +377,6 @@ def select( # type: ignore
|
||||
entity_0: _TScalar_0,
|
||||
entity_1: _TScalar_1,
|
||||
entity_2: _TScalar_2,
|
||||
**kw: Any,
|
||||
) -> Select[Tuple[_TScalar_0, _TScalar_1, _TScalar_2]]:
|
||||
...
|
||||
|
||||
@ -179,69 +385,62 @@ def select( # type: ignore
|
||||
def select( # type: ignore
|
||||
entity_0: _TScalar_0,
|
||||
entity_1: _TScalar_1,
|
||||
entity_2: Type[_TModel_2],
|
||||
**kw: Any,
|
||||
) -> Select[Tuple[_TScalar_0, _TScalar_1, _TModel_2]]:
|
||||
__ent2: _TCCA[_T2],
|
||||
) -> Select[Tuple[_TScalar_0, _TScalar_1, _T2]]:
|
||||
...
|
||||
|
||||
|
||||
@overload
|
||||
def select( # type: ignore
|
||||
entity_0: _TScalar_0,
|
||||
entity_1: Type[_TModel_1],
|
||||
__ent1: _TCCA[_T1],
|
||||
entity_2: _TScalar_2,
|
||||
**kw: Any,
|
||||
) -> Select[Tuple[_TScalar_0, _TModel_1, _TScalar_2]]:
|
||||
) -> Select[Tuple[_TScalar_0, _T1, _TScalar_2]]:
|
||||
...
|
||||
|
||||
|
||||
@overload
|
||||
def select( # type: ignore
|
||||
entity_0: _TScalar_0,
|
||||
entity_1: Type[_TModel_1],
|
||||
entity_2: Type[_TModel_2],
|
||||
**kw: Any,
|
||||
) -> Select[Tuple[_TScalar_0, _TModel_1, _TModel_2]]:
|
||||
__ent1: _TCCA[_T1],
|
||||
__ent2: _TCCA[_T2],
|
||||
) -> Select[Tuple[_TScalar_0, _T1, _T2]]:
|
||||
...
|
||||
|
||||
|
||||
@overload
|
||||
def select( # type: ignore
|
||||
entity_0: Type[_TModel_0],
|
||||
__ent0: _TCCA[_T0],
|
||||
entity_1: _TScalar_1,
|
||||
entity_2: _TScalar_2,
|
||||
**kw: Any,
|
||||
) -> Select[Tuple[_TModel_0, _TScalar_1, _TScalar_2]]:
|
||||
) -> Select[Tuple[_T0, _TScalar_1, _TScalar_2]]:
|
||||
...
|
||||
|
||||
|
||||
@overload
|
||||
def select( # type: ignore
|
||||
entity_0: Type[_TModel_0],
|
||||
__ent0: _TCCA[_T0],
|
||||
entity_1: _TScalar_1,
|
||||
entity_2: Type[_TModel_2],
|
||||
**kw: Any,
|
||||
) -> Select[Tuple[_TModel_0, _TScalar_1, _TModel_2]]:
|
||||
__ent2: _TCCA[_T2],
|
||||
) -> Select[Tuple[_T0, _TScalar_1, _T2]]:
|
||||
...
|
||||
|
||||
|
||||
@overload
|
||||
def select( # type: ignore
|
||||
entity_0: Type[_TModel_0],
|
||||
entity_1: Type[_TModel_1],
|
||||
__ent0: _TCCA[_T0],
|
||||
__ent1: _TCCA[_T1],
|
||||
entity_2: _TScalar_2,
|
||||
**kw: Any,
|
||||
) -> Select[Tuple[_TModel_0, _TModel_1, _TScalar_2]]:
|
||||
) -> Select[Tuple[_T0, _T1, _TScalar_2]]:
|
||||
...
|
||||
|
||||
|
||||
@overload
|
||||
def select( # type: ignore
|
||||
entity_0: Type[_TModel_0],
|
||||
entity_1: Type[_TModel_1],
|
||||
entity_2: Type[_TModel_2],
|
||||
**kw: Any,
|
||||
) -> Select[Tuple[_TModel_0, _TModel_1, _TModel_2]]:
|
||||
__ent0: _TCCA[_T0],
|
||||
__ent1: _TCCA[_T1],
|
||||
__ent2: _TCCA[_T2],
|
||||
) -> Select[Tuple[_T0, _T1, _T2]]:
|
||||
...
|
||||
|
||||
|
||||
@ -251,7 +450,6 @@ def select( # type: ignore
|
||||
entity_1: _TScalar_1,
|
||||
entity_2: _TScalar_2,
|
||||
entity_3: _TScalar_3,
|
||||
**kw: Any,
|
||||
) -> Select[Tuple[_TScalar_0, _TScalar_1, _TScalar_2, _TScalar_3]]:
|
||||
...
|
||||
|
||||
@ -261,9 +459,8 @@ def select( # type: ignore
|
||||
entity_0: _TScalar_0,
|
||||
entity_1: _TScalar_1,
|
||||
entity_2: _TScalar_2,
|
||||
entity_3: Type[_TModel_3],
|
||||
**kw: Any,
|
||||
) -> Select[Tuple[_TScalar_0, _TScalar_1, _TScalar_2, _TModel_3]]:
|
||||
__ent3: _TCCA[_T3],
|
||||
) -> Select[Tuple[_TScalar_0, _TScalar_1, _TScalar_2, _T3]]:
|
||||
...
|
||||
|
||||
|
||||
@ -271,10 +468,9 @@ def select( # type: ignore
|
||||
def select( # type: ignore
|
||||
entity_0: _TScalar_0,
|
||||
entity_1: _TScalar_1,
|
||||
entity_2: Type[_TModel_2],
|
||||
__ent2: _TCCA[_T2],
|
||||
entity_3: _TScalar_3,
|
||||
**kw: Any,
|
||||
) -> Select[Tuple[_TScalar_0, _TScalar_1, _TModel_2, _TScalar_3]]:
|
||||
) -> Select[Tuple[_TScalar_0, _TScalar_1, _T2, _TScalar_3]]:
|
||||
...
|
||||
|
||||
|
||||
@ -282,156 +478,142 @@ def select( # type: ignore
|
||||
def select( # type: ignore
|
||||
entity_0: _TScalar_0,
|
||||
entity_1: _TScalar_1,
|
||||
entity_2: Type[_TModel_2],
|
||||
entity_3: Type[_TModel_3],
|
||||
**kw: Any,
|
||||
) -> Select[Tuple[_TScalar_0, _TScalar_1, _TModel_2, _TModel_3]]:
|
||||
__ent2: _TCCA[_T2],
|
||||
__ent3: _TCCA[_T3],
|
||||
) -> Select[Tuple[_TScalar_0, _TScalar_1, _T2, _T3]]:
|
||||
...
|
||||
|
||||
|
||||
@overload
|
||||
def select( # type: ignore
|
||||
entity_0: _TScalar_0,
|
||||
entity_1: Type[_TModel_1],
|
||||
__ent1: _TCCA[_T1],
|
||||
entity_2: _TScalar_2,
|
||||
entity_3: _TScalar_3,
|
||||
**kw: Any,
|
||||
) -> Select[Tuple[_TScalar_0, _TModel_1, _TScalar_2, _TScalar_3]]:
|
||||
) -> Select[Tuple[_TScalar_0, _T1, _TScalar_2, _TScalar_3]]:
|
||||
...
|
||||
|
||||
|
||||
@overload
|
||||
def select( # type: ignore
|
||||
entity_0: _TScalar_0,
|
||||
entity_1: Type[_TModel_1],
|
||||
__ent1: _TCCA[_T1],
|
||||
entity_2: _TScalar_2,
|
||||
entity_3: Type[_TModel_3],
|
||||
**kw: Any,
|
||||
) -> Select[Tuple[_TScalar_0, _TModel_1, _TScalar_2, _TModel_3]]:
|
||||
__ent3: _TCCA[_T3],
|
||||
) -> Select[Tuple[_TScalar_0, _T1, _TScalar_2, _T3]]:
|
||||
...
|
||||
|
||||
|
||||
@overload
|
||||
def select( # type: ignore
|
||||
entity_0: _TScalar_0,
|
||||
entity_1: Type[_TModel_1],
|
||||
entity_2: Type[_TModel_2],
|
||||
__ent1: _TCCA[_T1],
|
||||
__ent2: _TCCA[_T2],
|
||||
entity_3: _TScalar_3,
|
||||
**kw: Any,
|
||||
) -> Select[Tuple[_TScalar_0, _TModel_1, _TModel_2, _TScalar_3]]:
|
||||
) -> Select[Tuple[_TScalar_0, _T1, _T2, _TScalar_3]]:
|
||||
...
|
||||
|
||||
|
||||
@overload
|
||||
def select( # type: ignore
|
||||
entity_0: _TScalar_0,
|
||||
entity_1: Type[_TModel_1],
|
||||
entity_2: Type[_TModel_2],
|
||||
entity_3: Type[_TModel_3],
|
||||
**kw: Any,
|
||||
) -> Select[Tuple[_TScalar_0, _TModel_1, _TModel_2, _TModel_3]]:
|
||||
__ent1: _TCCA[_T1],
|
||||
__ent2: _TCCA[_T2],
|
||||
__ent3: _TCCA[_T3],
|
||||
) -> Select[Tuple[_TScalar_0, _T1, _T2, _T3]]:
|
||||
...
|
||||
|
||||
|
||||
@overload
|
||||
def select( # type: ignore
|
||||
entity_0: Type[_TModel_0],
|
||||
__ent0: _TCCA[_T0],
|
||||
entity_1: _TScalar_1,
|
||||
entity_2: _TScalar_2,
|
||||
entity_3: _TScalar_3,
|
||||
**kw: Any,
|
||||
) -> Select[Tuple[_TModel_0, _TScalar_1, _TScalar_2, _TScalar_3]]:
|
||||
) -> Select[Tuple[_T0, _TScalar_1, _TScalar_2, _TScalar_3]]:
|
||||
...
|
||||
|
||||
|
||||
@overload
|
||||
def select( # type: ignore
|
||||
entity_0: Type[_TModel_0],
|
||||
__ent0: _TCCA[_T0],
|
||||
entity_1: _TScalar_1,
|
||||
entity_2: _TScalar_2,
|
||||
entity_3: Type[_TModel_3],
|
||||
**kw: Any,
|
||||
) -> Select[Tuple[_TModel_0, _TScalar_1, _TScalar_2, _TModel_3]]:
|
||||
__ent3: _TCCA[_T3],
|
||||
) -> Select[Tuple[_T0, _TScalar_1, _TScalar_2, _T3]]:
|
||||
...
|
||||
|
||||
|
||||
@overload
|
||||
def select( # type: ignore
|
||||
entity_0: Type[_TModel_0],
|
||||
__ent0: _TCCA[_T0],
|
||||
entity_1: _TScalar_1,
|
||||
entity_2: Type[_TModel_2],
|
||||
__ent2: _TCCA[_T2],
|
||||
entity_3: _TScalar_3,
|
||||
**kw: Any,
|
||||
) -> Select[Tuple[_TModel_0, _TScalar_1, _TModel_2, _TScalar_3]]:
|
||||
) -> Select[Tuple[_T0, _TScalar_1, _T2, _TScalar_3]]:
|
||||
...
|
||||
|
||||
|
||||
@overload
|
||||
def select( # type: ignore
|
||||
entity_0: Type[_TModel_0],
|
||||
__ent0: _TCCA[_T0],
|
||||
entity_1: _TScalar_1,
|
||||
entity_2: Type[_TModel_2],
|
||||
entity_3: Type[_TModel_3],
|
||||
**kw: Any,
|
||||
) -> Select[Tuple[_TModel_0, _TScalar_1, _TModel_2, _TModel_3]]:
|
||||
__ent2: _TCCA[_T2],
|
||||
__ent3: _TCCA[_T3],
|
||||
) -> Select[Tuple[_T0, _TScalar_1, _T2, _T3]]:
|
||||
...
|
||||
|
||||
|
||||
@overload
|
||||
def select( # type: ignore
|
||||
entity_0: Type[_TModel_0],
|
||||
entity_1: Type[_TModel_1],
|
||||
__ent0: _TCCA[_T0],
|
||||
__ent1: _TCCA[_T1],
|
||||
entity_2: _TScalar_2,
|
||||
entity_3: _TScalar_3,
|
||||
**kw: Any,
|
||||
) -> Select[Tuple[_TModel_0, _TModel_1, _TScalar_2, _TScalar_3]]:
|
||||
) -> Select[Tuple[_T0, _T1, _TScalar_2, _TScalar_3]]:
|
||||
...
|
||||
|
||||
|
||||
@overload
|
||||
def select( # type: ignore
|
||||
entity_0: Type[_TModel_0],
|
||||
entity_1: Type[_TModel_1],
|
||||
__ent0: _TCCA[_T0],
|
||||
__ent1: _TCCA[_T1],
|
||||
entity_2: _TScalar_2,
|
||||
entity_3: Type[_TModel_3],
|
||||
**kw: Any,
|
||||
) -> Select[Tuple[_TModel_0, _TModel_1, _TScalar_2, _TModel_3]]:
|
||||
__ent3: _TCCA[_T3],
|
||||
) -> Select[Tuple[_T0, _T1, _TScalar_2, _T3]]:
|
||||
...
|
||||
|
||||
|
||||
@overload
|
||||
def select( # type: ignore
|
||||
entity_0: Type[_TModel_0],
|
||||
entity_1: Type[_TModel_1],
|
||||
entity_2: Type[_TModel_2],
|
||||
__ent0: _TCCA[_T0],
|
||||
__ent1: _TCCA[_T1],
|
||||
__ent2: _TCCA[_T2],
|
||||
entity_3: _TScalar_3,
|
||||
**kw: Any,
|
||||
) -> Select[Tuple[_TModel_0, _TModel_1, _TModel_2, _TScalar_3]]:
|
||||
) -> Select[Tuple[_T0, _T1, _T2, _TScalar_3]]:
|
||||
...
|
||||
|
||||
|
||||
@overload
|
||||
def select( # type: ignore
|
||||
entity_0: Type[_TModel_0],
|
||||
entity_1: Type[_TModel_1],
|
||||
entity_2: Type[_TModel_2],
|
||||
entity_3: Type[_TModel_3],
|
||||
**kw: Any,
|
||||
) -> Select[Tuple[_TModel_0, _TModel_1, _TModel_2, _TModel_3]]:
|
||||
__ent0: _TCCA[_T0],
|
||||
__ent1: _TCCA[_T1],
|
||||
__ent2: _TCCA[_T2],
|
||||
__ent3: _TCCA[_T3],
|
||||
) -> Select[Tuple[_T0, _T1, _T2, _T3]]:
|
||||
...
|
||||
|
||||
|
||||
# Generated overloads end
|
||||
|
||||
|
||||
def select(*entities: Any, **kw: Any) -> Union[Select, SelectOfScalar]: # type: ignore
|
||||
def select(*entities: Any) -> Union[Select, SelectOfScalar]: # type: ignore
|
||||
if len(entities) == 1:
|
||||
return SelectOfScalar._create(*entities, **kw) # type: ignore
|
||||
return Select._create(*entities, **kw) # type: ignore
|
||||
return SelectOfScalar(*entities)
|
||||
return Select(*entities)
|
||||
|
||||
|
||||
# TODO: add several @overload from Python types to SQLAlchemy equivalents
|
||||
def col(column_expression: Any) -> ColumnClause: # type: ignore
|
||||
def col(column_expression: _T) -> Mapped[_T]:
|
||||
if not isinstance(column_expression, (ColumnClause, Column, InstrumentedAttribute)):
|
||||
raise RuntimeError(f"Not a SQLAlchemy column: {column_expression}")
|
||||
return column_expression
|
||||
return column_expression # type: ignore
|
||||
|
@ -1,9 +1,9 @@
|
||||
from datetime import datetime
|
||||
from typing import (
|
||||
TYPE_CHECKING,
|
||||
Any,
|
||||
Generic,
|
||||
Iterable,
|
||||
Mapping,
|
||||
Optional,
|
||||
Sequence,
|
||||
Tuple,
|
||||
Type,
|
||||
@ -13,28 +13,243 @@ from typing import (
|
||||
)
|
||||
from uuid import UUID
|
||||
|
||||
from sqlalchemy import Column
|
||||
from sqlalchemy.orm import InstrumentedAttribute
|
||||
from sqlalchemy.sql.elements import ColumnClause
|
||||
import sqlalchemy
|
||||
from sqlalchemy import (
|
||||
Column,
|
||||
ColumnElement,
|
||||
Extract,
|
||||
FunctionElement,
|
||||
FunctionFilter,
|
||||
Label,
|
||||
Over,
|
||||
TypeCoerce,
|
||||
WithinGroup,
|
||||
)
|
||||
from sqlalchemy.orm import InstrumentedAttribute, Mapped
|
||||
from sqlalchemy.sql._typing import (
|
||||
_ColumnExpressionArgument,
|
||||
_ColumnExpressionOrLiteralArgument,
|
||||
_ColumnExpressionOrStrLabelArgument,
|
||||
)
|
||||
from sqlalchemy.sql.elements import (
|
||||
BinaryExpression,
|
||||
Case,
|
||||
Cast,
|
||||
CollectionAggregate,
|
||||
ColumnClause,
|
||||
SQLCoreOperations,
|
||||
TryCast,
|
||||
UnaryExpression,
|
||||
)
|
||||
from sqlalchemy.sql.expression import Select as _Select
|
||||
from sqlalchemy.sql.roles import TypedColumnsClauseRole
|
||||
from sqlalchemy.sql.type_api import TypeEngine
|
||||
from typing_extensions import Literal, Self
|
||||
|
||||
_TSelect = TypeVar("_TSelect")
|
||||
_T = TypeVar("_T")
|
||||
|
||||
class Select(_Select, Generic[_TSelect]):
|
||||
_TypeEngineArgument = Union[Type[TypeEngine[_T]], TypeEngine[_T]]
|
||||
|
||||
# Redefine operatos that would only take a column expresion to also take the (virtual)
|
||||
# types of Pydantic models, e.g. str instead of only Mapped[str].
|
||||
|
||||
|
||||
def all_(expr: Union[_ColumnExpressionArgument[_T], _T]) -> CollectionAggregate[bool]:
|
||||
return sqlalchemy.all_(expr) # type: ignore[arg-type]
|
||||
|
||||
|
||||
def and_(
|
||||
initial_clause: Union[Literal[True], _ColumnExpressionArgument[bool], bool],
|
||||
*clauses: Union[_ColumnExpressionArgument[bool], bool],
|
||||
) -> ColumnElement[bool]:
|
||||
return sqlalchemy.and_(initial_clause, *clauses) # type: ignore[arg-type]
|
||||
|
||||
|
||||
def any_(expr: Union[_ColumnExpressionArgument[_T], _T]) -> CollectionAggregate[bool]:
|
||||
return sqlalchemy.any_(expr) # type: ignore[arg-type]
|
||||
|
||||
|
||||
def asc(
|
||||
column: Union[_ColumnExpressionOrStrLabelArgument[_T], _T],
|
||||
) -> UnaryExpression[_T]:
|
||||
return sqlalchemy.asc(column) # type: ignore[arg-type]
|
||||
|
||||
|
||||
def collate(
|
||||
expression: Union[_ColumnExpressionArgument[str], str], collation: str
|
||||
) -> BinaryExpression[str]:
|
||||
return sqlalchemy.collate(expression, collation) # type: ignore[arg-type]
|
||||
|
||||
|
||||
def between(
|
||||
expr: Union[_ColumnExpressionOrLiteralArgument[_T], _T],
|
||||
lower_bound: Any,
|
||||
upper_bound: Any,
|
||||
symmetric: bool = False,
|
||||
) -> BinaryExpression[bool]:
|
||||
return sqlalchemy.between(expr, lower_bound, upper_bound, symmetric=symmetric) # type: ignore[arg-type]
|
||||
|
||||
|
||||
def not_(clause: Union[_ColumnExpressionArgument[_T], _T]) -> ColumnElement[_T]:
|
||||
return sqlalchemy.not_(clause) # type: ignore[arg-type]
|
||||
|
||||
|
||||
def case(
|
||||
*whens: Union[
|
||||
Tuple[Union[_ColumnExpressionArgument[bool], bool], Any], Mapping[Any, Any]
|
||||
],
|
||||
value: Optional[Any] = None,
|
||||
else_: Optional[Any] = None,
|
||||
) -> Case[Any]:
|
||||
return sqlalchemy.case(*whens, value=value, else_=else_) # type: ignore[arg-type]
|
||||
|
||||
|
||||
def cast(
|
||||
expression: Union[_ColumnExpressionOrLiteralArgument[Any], Any],
|
||||
type_: "_TypeEngineArgument[_T]",
|
||||
) -> Cast[_T]:
|
||||
return sqlalchemy.cast(expression, type_) # type: ignore[arg-type]
|
||||
|
||||
|
||||
def try_cast(
|
||||
expression: Union[_ColumnExpressionOrLiteralArgument[Any], Any],
|
||||
type_: "_TypeEngineArgument[_T]",
|
||||
) -> TryCast[_T]:
|
||||
return sqlalchemy.try_cast(expression, type_) # type: ignore[arg-type]
|
||||
|
||||
|
||||
def desc(
|
||||
column: Union[_ColumnExpressionOrStrLabelArgument[_T], _T],
|
||||
) -> UnaryExpression[_T]:
|
||||
return sqlalchemy.desc(column) # type: ignore[arg-type]
|
||||
|
||||
|
||||
def distinct(expr: Union[_ColumnExpressionArgument[_T], _T]) -> UnaryExpression[_T]:
|
||||
return sqlalchemy.distinct(expr) # type: ignore[arg-type]
|
||||
|
||||
|
||||
def bitwise_not(expr: Union[_ColumnExpressionArgument[_T], _T]) -> UnaryExpression[_T]:
|
||||
return sqlalchemy.bitwise_not(expr) # type: ignore[arg-type]
|
||||
|
||||
|
||||
def extract(field: str, expr: Union[_ColumnExpressionArgument[Any], Any]) -> Extract:
|
||||
return sqlalchemy.extract(field, expr) # type: ignore[arg-type]
|
||||
|
||||
|
||||
def funcfilter(
|
||||
func: FunctionElement[_T], *criterion: Union[_ColumnExpressionArgument[bool], bool]
|
||||
) -> FunctionFilter[_T]:
|
||||
return sqlalchemy.funcfilter(func, *criterion) # type: ignore[arg-type]
|
||||
|
||||
|
||||
def label(
|
||||
name: str,
|
||||
element: Union[_ColumnExpressionArgument[_T], _T],
|
||||
type_: Optional["_TypeEngineArgument[_T]"] = None,
|
||||
) -> Label[_T]:
|
||||
return sqlalchemy.label(name, element, type_=type_) # type: ignore[arg-type]
|
||||
|
||||
|
||||
def nulls_first(
|
||||
column: Union[_ColumnExpressionArgument[_T], _T]
|
||||
) -> UnaryExpression[_T]:
|
||||
return sqlalchemy.nulls_first(column) # type: ignore[arg-type]
|
||||
|
||||
|
||||
def nulls_last(column: Union[_ColumnExpressionArgument[_T], _T]) -> UnaryExpression[_T]:
|
||||
return sqlalchemy.nulls_last(column) # type: ignore[arg-type]
|
||||
|
||||
|
||||
def or_( # type: ignore[empty-body]
|
||||
initial_clause: Union[Literal[False], _ColumnExpressionArgument[bool], bool],
|
||||
*clauses: Union[_ColumnExpressionArgument[bool], bool],
|
||||
) -> ColumnElement[bool]:
|
||||
return sqlalchemy.or_(initial_clause, *clauses) # type: ignore[arg-type]
|
||||
|
||||
|
||||
def over(
|
||||
element: FunctionElement[_T],
|
||||
partition_by: Optional[
|
||||
Union[
|
||||
Iterable[Union[_ColumnExpressionArgument[Any], Any]],
|
||||
_ColumnExpressionArgument[Any],
|
||||
Any,
|
||||
]
|
||||
] = None,
|
||||
order_by: Optional[
|
||||
Union[
|
||||
Iterable[Union[_ColumnExpressionArgument[Any], Any]],
|
||||
_ColumnExpressionArgument[Any],
|
||||
Any,
|
||||
]
|
||||
] = None,
|
||||
range_: Optional[Tuple[Optional[int], Optional[int]]] = None,
|
||||
rows: Optional[Tuple[Optional[int], Optional[int]]] = None,
|
||||
) -> Over[_T]:
|
||||
return sqlalchemy.over(
|
||||
element, partition_by=partition_by, order_by=order_by, range_=range_, rows=rows
|
||||
) # type: ignore[arg-type]
|
||||
|
||||
|
||||
def tuple_(
|
||||
*clauses: Union[_ColumnExpressionArgument[Any], Any],
|
||||
types: Optional[Sequence["_TypeEngineArgument[Any]"]] = None,
|
||||
) -> Tuple[Any, ...]:
|
||||
return sqlalchemy.tuple_(*clauses, types=types) # type: ignore[return-value]
|
||||
|
||||
|
||||
def type_coerce(
|
||||
expression: Union[_ColumnExpressionOrLiteralArgument[Any], Any],
|
||||
type_: "_TypeEngineArgument[_T]",
|
||||
) -> TypeCoerce[_T]:
|
||||
return sqlalchemy.type_coerce(expression, type_) # type: ignore[arg-type]
|
||||
|
||||
|
||||
def within_group(
|
||||
element: FunctionElement[_T], *order_by: Union[_ColumnExpressionArgument[Any], Any]
|
||||
) -> WithinGroup[_T]:
|
||||
return sqlalchemy.within_group(element, *order_by) # type: ignore[arg-type]
|
||||
|
||||
|
||||
# Separate this class in SelectBase, Select, and SelectOfScalar so that they can share
|
||||
# where and having without having type overlap incompatibility in session.exec().
|
||||
class SelectBase(_Select[Tuple[_T]]):
|
||||
inherit_cache = True
|
||||
|
||||
def where(self, *whereclause: Union[_ColumnExpressionArgument[bool], bool]) -> Self:
|
||||
"""Return a new `Select` construct with the given expression added to
|
||||
its `WHERE` clause, joined to the existing clause via `AND`, if any.
|
||||
"""
|
||||
return super().where(*whereclause) # type: ignore[arg-type]
|
||||
|
||||
def having(self, *having: Union[_ColumnExpressionArgument[bool], bool]) -> Self:
|
||||
"""Return a new `Select` construct with the given expression added to
|
||||
its `HAVING` clause, joined to the existing clause via `AND`, if any.
|
||||
"""
|
||||
return super().having(*having) # type: ignore[arg-type]
|
||||
|
||||
|
||||
class Select(SelectBase[_T]):
|
||||
inherit_cache = True
|
||||
|
||||
|
||||
# This is not comparable to sqlalchemy.sql.selectable.ScalarSelect, that has a different
|
||||
# purpose. This is the same as a normal SQLAlchemy Select class where there's only one
|
||||
# entity, so the result will be converted to a scalar by default. This way writing
|
||||
# for loops on the results will feel natural.
|
||||
class SelectOfScalar(_Select, Generic[_TSelect]):
|
||||
class SelectOfScalar(SelectBase[_T]):
|
||||
inherit_cache = True
|
||||
|
||||
if TYPE_CHECKING: # pragma: no cover
|
||||
from ..main import SQLModel
|
||||
|
||||
_TCCA = Union[
|
||||
TypedColumnsClauseRole[_T],
|
||||
SQLCoreOperations[_T],
|
||||
Type[_T],
|
||||
]
|
||||
|
||||
# Generated TypeVars start
|
||||
|
||||
|
||||
{% for i in range(number_of_types) %}
|
||||
_TScalar_{{ i }} = TypeVar(
|
||||
"_TScalar_{{ i }}",
|
||||
@ -51,19 +266,19 @@ _TScalar_{{ i }} = TypeVar(
|
||||
None,
|
||||
)
|
||||
|
||||
_TModel_{{ i }} = TypeVar("_TModel_{{ i }}", bound="SQLModel")
|
||||
_T{{ i }} = TypeVar("_T{{ i }}")
|
||||
|
||||
{% endfor %}
|
||||
|
||||
# Generated TypeVars end
|
||||
|
||||
@overload
|
||||
def select(entity_0: _TScalar_0, **kw: Any) -> SelectOfScalar[_TScalar_0]: # type: ignore
|
||||
def select(__ent0: _TScalar_0) -> SelectOfScalar[_TScalar_0]: # type: ignore
|
||||
...
|
||||
|
||||
|
||||
@overload
|
||||
def select(entity_0: Type[_TModel_0], **kw: Any) -> SelectOfScalar[_TModel_0]: # type: ignore
|
||||
def select(__ent0: _TCCA[_T0]) -> SelectOfScalar[_T0]:
|
||||
...
|
||||
|
||||
|
||||
@ -73,7 +288,7 @@ def select(entity_0: Type[_TModel_0], **kw: Any) -> SelectOfScalar[_TModel_0]:
|
||||
|
||||
@overload
|
||||
def select( # type: ignore
|
||||
{% for arg in signature[0] %}{{ arg.name }}: {{ arg.annotation }}, {% endfor %}**kw: Any,
|
||||
{% for arg in signature[0] %}{{ arg.name }}: {{ arg.annotation }}, {% endfor %}
|
||||
) -> Select[Tuple[{%for ret in signature[1] %}{{ ret }} {% if not loop.last %}, {% endif %}{% endfor %}]]:
|
||||
...
|
||||
|
||||
@ -81,14 +296,14 @@ def select( # type: ignore
|
||||
|
||||
# Generated overloads end
|
||||
|
||||
def select(*entities: Any, **kw: Any) -> Union[Select, SelectOfScalar]: # type: ignore
|
||||
|
||||
def select(*entities: Any) -> Union[Select, SelectOfScalar]: # type: ignore
|
||||
if len(entities) == 1:
|
||||
return SelectOfScalar._create(*entities, **kw) # type: ignore
|
||||
return Select._create(*entities, **kw) # type: ignore
|
||||
return SelectOfScalar(*entities)
|
||||
return Select(*entities)
|
||||
|
||||
|
||||
# TODO: add several @overload from Python types to SQLAlchemy equivalents
|
||||
def col(column_expression: Any) -> ColumnClause: # type: ignore
|
||||
def col(column_expression: _T) -> Mapped[_T]:
|
||||
if not isinstance(column_expression, (ColumnClause, Column, InstrumentedAttribute)):
|
||||
raise RuntimeError(f"Not a SQLAlchemy column: {column_expression}")
|
||||
return column_expression
|
||||
return column_expression # type: ignore
|
||||
|
@ -15,7 +15,7 @@ class AutoString(types.TypeDecorator): # type: ignore
|
||||
def load_dialect_impl(self, dialect: Dialect) -> "types.TypeEngine[Any]":
|
||||
impl = cast(types.String, self.impl)
|
||||
if impl.length is None and dialect.name == "mysql":
|
||||
return dialect.type_descriptor(types.String(self.mysql_default_length)) # type: ignore
|
||||
return dialect.type_descriptor(types.String(self.mysql_default_length))
|
||||
return super().load_dialect_impl(dialect)
|
||||
|
||||
|
||||
@ -32,11 +32,11 @@ class GUID(types.TypeDecorator): # type: ignore
|
||||
impl = CHAR
|
||||
cache_ok = True
|
||||
|
||||
def load_dialect_impl(self, dialect: Dialect) -> TypeEngine: # type: ignore
|
||||
def load_dialect_impl(self, dialect: Dialect) -> TypeEngine[Any]:
|
||||
if dialect.name == "postgresql":
|
||||
return dialect.type_descriptor(UUID()) # type: ignore
|
||||
return dialect.type_descriptor(UUID())
|
||||
else:
|
||||
return dialect.type_descriptor(CHAR(32)) # type: ignore
|
||||
return dialect.type_descriptor(CHAR(32))
|
||||
|
||||
def process_bind_param(self, value: Any, dialect: Dialect) -> Optional[str]:
|
||||
if value is None:
|
||||
|
@ -59,7 +59,7 @@ def test_tutorial(clear_sqlmodel):
|
||||
response = client.get("/openapi.json")
|
||||
assert response.status_code == 200, response.text
|
||||
assert response.json() == {
|
||||
"openapi": "3.0.2",
|
||||
"openapi": "3.1.0",
|
||||
"info": {"title": "FastAPI", "version": "0.1.0"},
|
||||
"paths": {
|
||||
"/heroes/": {
|
||||
@ -315,7 +315,9 @@ def test_tutorial(clear_sqlmodel):
|
||||
"loc": {
|
||||
"title": "Location",
|
||||
"type": "array",
|
||||
"items": {"type": "string"},
|
||||
"items": {
|
||||
"anyOf": [{"type": "string"}, {"type": "integer"}]
|
||||
},
|
||||
},
|
||||
"msg": {"title": "Message", "type": "string"},
|
||||
"type": {"title": "Error Type", "type": "string"},
|
||||
|
@ -64,7 +64,7 @@ def test_tutorial(clear_sqlmodel):
|
||||
response = client.get("/openapi.json")
|
||||
assert response.status_code == 200, response.text
|
||||
assert response.json() == {
|
||||
"openapi": "3.0.2",
|
||||
"openapi": "3.1.0",
|
||||
"info": {"title": "FastAPI", "version": "0.1.0"},
|
||||
"paths": {
|
||||
"/heroes/": {
|
||||
@ -239,7 +239,9 @@ def test_tutorial(clear_sqlmodel):
|
||||
"loc": {
|
||||
"title": "Location",
|
||||
"type": "array",
|
||||
"items": {"type": "string"},
|
||||
"items": {
|
||||
"anyOf": [{"type": "string"}, {"type": "integer"}]
|
||||
},
|
||||
},
|
||||
"msg": {"title": "Message", "type": "string"},
|
||||
"type": {"title": "Error Type", "type": "string"},
|
||||
|
@ -5,7 +5,7 @@ from sqlmodel import create_engine
|
||||
from sqlmodel.pool import StaticPool
|
||||
|
||||
openapi_schema = {
|
||||
"openapi": "3.0.2",
|
||||
"openapi": "3.1.0",
|
||||
"info": {"title": "FastAPI", "version": "0.1.0"},
|
||||
"paths": {
|
||||
"/heroes/": {
|
||||
@ -103,7 +103,7 @@ openapi_schema = {
|
||||
"loc": {
|
||||
"title": "Location",
|
||||
"type": "array",
|
||||
"items": {"type": "string"},
|
||||
"items": {"anyOf": [{"type": "string"}, {"type": "integer"}]},
|
||||
},
|
||||
"msg": {"title": "Message", "type": "string"},
|
||||
"type": {"title": "Error Type", "type": "string"},
|
||||
|
@ -5,7 +5,7 @@ from sqlmodel import create_engine
|
||||
from sqlmodel.pool import StaticPool
|
||||
|
||||
openapi_schema = {
|
||||
"openapi": "3.0.2",
|
||||
"openapi": "3.1.0",
|
||||
"info": {"title": "FastAPI", "version": "0.1.0"},
|
||||
"paths": {
|
||||
"/heroes/": {
|
||||
@ -103,7 +103,7 @@ openapi_schema = {
|
||||
"loc": {
|
||||
"title": "Location",
|
||||
"type": "array",
|
||||
"items": {"type": "string"},
|
||||
"items": {"anyOf": [{"type": "string"}, {"type": "integer"}]},
|
||||
},
|
||||
"msg": {"title": "Message", "type": "string"},
|
||||
"type": {"title": "Error Type", "type": "string"},
|
||||
|
@ -3,7 +3,7 @@ from sqlmodel import create_engine
|
||||
from sqlmodel.pool import StaticPool
|
||||
|
||||
openapi_schema = {
|
||||
"openapi": "3.0.2",
|
||||
"openapi": "3.1.0",
|
||||
"info": {"title": "FastAPI", "version": "0.1.0"},
|
||||
"paths": {
|
||||
"/heroes/": {
|
||||
@ -135,7 +135,7 @@ openapi_schema = {
|
||||
"loc": {
|
||||
"title": "Location",
|
||||
"type": "array",
|
||||
"items": {"type": "string"},
|
||||
"items": {"anyOf": [{"type": "string"}, {"type": "integer"}]},
|
||||
},
|
||||
"msg": {"title": "Message", "type": "string"},
|
||||
"type": {"title": "Error Type", "type": "string"},
|
||||
|
@ -107,7 +107,7 @@ def test_tutorial(clear_sqlmodel):
|
||||
response = client.get("/openapi.json")
|
||||
assert response.status_code == 200, response.text
|
||||
assert response.json() == {
|
||||
"openapi": "3.0.2",
|
||||
"openapi": "3.1.0",
|
||||
"info": {"title": "FastAPI", "version": "0.1.0"},
|
||||
"paths": {
|
||||
"/heroes/": {
|
||||
@ -622,7 +622,9 @@ def test_tutorial(clear_sqlmodel):
|
||||
"loc": {
|
||||
"title": "Location",
|
||||
"type": "array",
|
||||
"items": {"type": "string"},
|
||||
"items": {
|
||||
"anyOf": [{"type": "string"}, {"type": "integer"}]
|
||||
},
|
||||
},
|
||||
"msg": {"title": "Message", "type": "string"},
|
||||
"type": {"title": "Error Type", "type": "string"},
|
||||
|
@ -3,7 +3,7 @@ from sqlmodel import create_engine
|
||||
from sqlmodel.pool import StaticPool
|
||||
|
||||
openapi_schema = {
|
||||
"openapi": "3.0.2",
|
||||
"openapi": "3.1.0",
|
||||
"info": {"title": "FastAPI", "version": "0.1.0"},
|
||||
"paths": {
|
||||
"/heroes/": {
|
||||
@ -91,7 +91,7 @@ openapi_schema = {
|
||||
"loc": {
|
||||
"title": "Location",
|
||||
"type": "array",
|
||||
"items": {"type": "string"},
|
||||
"items": {"anyOf": [{"type": "string"}, {"type": "integer"}]},
|
||||
},
|
||||
"msg": {"title": "Message", "type": "string"},
|
||||
"type": {"title": "Error Type", "type": "string"},
|
||||
|
@ -59,7 +59,7 @@ def test_tutorial(clear_sqlmodel):
|
||||
response = client.get("/openapi.json")
|
||||
assert response.status_code == 200, response.text
|
||||
assert response.json() == {
|
||||
"openapi": "3.0.2",
|
||||
"openapi": "3.1.0",
|
||||
"info": {"title": "FastAPI", "version": "0.1.0"},
|
||||
"paths": {
|
||||
"/heroes/": {
|
||||
@ -315,7 +315,9 @@ def test_tutorial(clear_sqlmodel):
|
||||
"loc": {
|
||||
"title": "Location",
|
||||
"type": "array",
|
||||
"items": {"type": "string"},
|
||||
"items": {
|
||||
"anyOf": [{"type": "string"}, {"type": "integer"}]
|
||||
},
|
||||
},
|
||||
"msg": {"title": "Message", "type": "string"},
|
||||
"type": {"title": "Error Type", "type": "string"},
|
||||
|
@ -3,7 +3,7 @@ from sqlmodel import create_engine
|
||||
from sqlmodel.pool import StaticPool
|
||||
|
||||
openapi_schema = {
|
||||
"openapi": "3.0.2",
|
||||
"openapi": "3.1.0",
|
||||
"info": {"title": "FastAPI", "version": "0.1.0"},
|
||||
"paths": {
|
||||
"/heroes/": {
|
||||
@ -79,7 +79,7 @@ openapi_schema = {
|
||||
"loc": {
|
||||
"title": "Location",
|
||||
"type": "array",
|
||||
"items": {"type": "string"},
|
||||
"items": {"anyOf": [{"type": "string"}, {"type": "integer"}]},
|
||||
},
|
||||
"msg": {"title": "Message", "type": "string"},
|
||||
"type": {"title": "Error Type", "type": "string"},
|
||||
|
@ -94,7 +94,7 @@ def test_tutorial(clear_sqlmodel):
|
||||
response = client.get("/openapi.json")
|
||||
assert response.status_code == 200, response.text
|
||||
assert response.json() == {
|
||||
"openapi": "3.0.2",
|
||||
"openapi": "3.1.0",
|
||||
"info": {"title": "FastAPI", "version": "0.1.0"},
|
||||
"paths": {
|
||||
"/heroes/": {
|
||||
@ -579,7 +579,9 @@ def test_tutorial(clear_sqlmodel):
|
||||
"loc": {
|
||||
"title": "Location",
|
||||
"type": "array",
|
||||
"items": {"type": "string"},
|
||||
"items": {
|
||||
"anyOf": [{"type": "string"}, {"type": "integer"}]
|
||||
},
|
||||
},
|
||||
"msg": {"title": "Message", "type": "string"},
|
||||
"type": {"title": "Error Type", "type": "string"},
|
||||
|
@ -66,7 +66,7 @@ def test_tutorial(clear_sqlmodel):
|
||||
response = client.get("/openapi.json")
|
||||
assert response.status_code == 200, response.text
|
||||
assert response.json() == {
|
||||
"openapi": "3.0.2",
|
||||
"openapi": "3.1.0",
|
||||
"info": {"title": "FastAPI", "version": "0.1.0"},
|
||||
"paths": {
|
||||
"/heroes/": {
|
||||
@ -294,7 +294,9 @@ def test_tutorial(clear_sqlmodel):
|
||||
"loc": {
|
||||
"title": "Location",
|
||||
"type": "array",
|
||||
"items": {"type": "string"},
|
||||
"items": {
|
||||
"anyOf": [{"type": "string"}, {"type": "integer"}]
|
||||
},
|
||||
},
|
||||
"msg": {"title": "Message", "type": "string"},
|
||||
"type": {"title": "Error Type", "type": "string"},
|
||||
|
Loading…
x
Reference in New Issue
Block a user