Files
fastapi/tests/test_path.py
Sebastián Ramírez 0976185af9 Add support for Pydantic v2 (#9816)
*  Pydantic v2 migration, initial implementation (#9500)

*  Add compat layer, for Pydantic v1 and v2

*  Re-export Pydantic needed internals from compat, to later patch them for v1

* ♻️ Refactor internals to use new compatibility layers and run with Pydantic v2

* 📝 Update examples to run with Pydantic v2

*  Update tests to use Pydantic v2

* 🎨 [pre-commit.ci] Auto format from pre-commit.com hooks

*  Temporarily disable Peewee tests, afterwards I'll enable them only for Pydantic v1

* 🐛 Fix JSON Schema generation and OpenAPI ref template

* 🐛 Fix model field creation with defaults from Pydantic v2

* 🐛 Fix body field creation, with new FieldInfo

*  Use and check new ResponseValidationError for server validation errors

*  Fix test_schema_extra_examples tests with ResponseValidationError

*  Add dirty-equals to tests for compatibility with Pydantic v1 and v2

*  Add util to regenerate errors with custom loc

*  Generate validation errors with loc

*  Update tests for compatibility with Pydantic v1 and v2

*  Update tests for Pydantic v2 in tests/test_filter_pydantic_sub_model.py

*  Refactor tests in tests/test_dependency_overrides.py for Pydantic v2, separate parameterized into independent tests to use insert_assert

*  Refactor OpenAPI test for tests/test_infer_param_optionality.py for consistency, and make it compatible with Pydantic v1 and v2

*  Update tests for tests/test_multi_query_errors.py for Pydantic v1 and v2

*  Update tests for tests/test_multi_body_errors.py for Pydantic v1 and v2

*  Update tests for tests/test_multi_body_errors.py for Pydantic v1 and v2

* 🎨 [pre-commit.ci] Auto format from pre-commit.com hooks

* ♻️ Refactor tests for tests/test_path.py to inline pytest parameters, to make it easier to make them compatible with Pydantic v2

*  Refactor and udpate tests for tests/test_path.py for Pydantic v1 and v2

* ♻️ Refactor and update tests for tests/test_query.py with compatibility for Pydantic v1 and v2

*  Fix test with optional field without default None

*  Update tests for compatibility with Pydantic v2

*  Update tutorial tests for Pydantic v2

* ♻️ Update OAuth2 dependencies for Pydantic v2

* ♻️ Refactor str check when checking for sequence types

* ♻️ Rename regex to pattern to keep in sync with Pydantic v2

* ♻️ Refactor _compat.py, start moving conditional imports and declarations to specifics of Pydantic v1 or v2

*  Update tests for OAuth2 security optional

*  Refactor tests for OAuth2 optional for Pydantic v2

*  Refactor tests for OAuth2 security for compatibility with Pydantic v2

* 🐛 Fix location in compat layer for Pydantic v2 ModelField

*  Refactor tests for Pydantic v2 in tests/test_tutorial/test_bigger_applications/test_main_an_py39.py

* 🐛 Add missing markers in Python 3.9 tests

*  Refactor tests for bigger apps for consistency with annotated ones and with support for Pydantic v2

* 🐛 Fix jsonable_encoder with new Pydantic v2 data types and Url

* 🐛 Fix invalid JSON error for compatibility with Pydantic v2

*  Update tests for behind_a_proxy for Pydantic v2

*  Update tests for tests/test_tutorial/test_body/test_tutorial001_py310.py for Pydantic v2

*  Update tests for tests/test_tutorial/test_body/test_tutorial001.py with Pydantic v2 and consistency with Python 3.10 tests

*  Fix tests for tutorial/body_fields for Pydantic v2

*  Refactor tests for tutorial/body_multiple_params with Pydantic v2

*  Update tests for tutorial/body_nested_models for Pydantic v2

*  Update tests for tutorial/body_updates for Pydantic v2

*  Update test for tutorial/cookie_params for Pydantic v2

*  Fix tests for tests/test_tutorial/test_custom_request_and_route/test_tutorial002.py for Pydantic v2

*  Update tests for tutorial/dataclasses for Pydantic v2

*  Update tests for tutorial/dependencies for Pydantic v2

*  Update tests for tutorial/extra_data_types for Pydantic v2

*  Update tests for tutorial/handling_errors for Pydantic v2

*  Fix test markers for Python 3.9

*  Update tests for tutorial/header_params for Pydantic v2

*  Update tests for Pydantic v2 in tests/test_tutorial/test_openapi_callbacks/test_tutorial001.py

*  Fix extra tests for Pydantic v2

*  Refactor test for parameters, to later fix Pydantic v2

*  Update tests for tutorial/query_params for Pydantic v2

* ♻️ Update examples in docs to use new pattern instead of the old regex

*  Fix several tests for Pydantic v2

*  Update and fix test for ResponseValidationError

* 🐛 Fix check for sequences vs scalars, include bytes as scalar

* 🐛 Fix check for complex data types, include UploadFile

* 🐛 Add list to sequence annotation types

* 🐛 Fix checks for uploads and add utils to find if an annotation is an upload (or bytes)

*  Add UnionType and NoneType to compat layer

*  Update tests for request_files for compatibility with Pydantic v2 and consistency with other tests

*  Fix testsw for request_forms for Pydantic v2

*  Fix tests for request_forms_and_files for Pydantic v2

*  Fix tests in tutorial/security for compatibility with Pydantic v2

* ⬆️ Upgrade required version of email_validator

*  Fix tests for params repr

*  Add Pydantic v2 pytest markers

* Use match_pydantic_error_url

* 🎨 [pre-commit.ci] Auto format from pre-commit.com hooks

* Use field_serializer instead of encoders in some tests

* Show Undefined as ... in repr

* Mark custom encoders test with xfail

* Update test to reflect new serialization of Decimal as str

* Use `model_validate` instead of `from_orm`

* Update JSON schema to reflect required nullable

* Add dirty-equals to pyproject.toml

* Fix locs and error creation for use with pydantic 2.0a4

* Use the type adapter for serialization. This is hacky.

* 🎨 [pre-commit.ci] Auto format from pre-commit.com hooks

*  Refactor test_multi_body_errors for compatibility with Pydantic v1 and v2

*  Refactor test_custom_encoder for Pydantic v1 and v2

*  Set input to None for now, for compatibility with current tests

* 🐛 Fix passing serialization params to model field when handling the response

* ♻️ Refactor exceptions to not depend on Pydantic ValidationError class

* ♻️ Revert/refactor params to simplify repr

*  Tweak tests for custom class encoders for Pydantic v1 and v2

*  Tweak tests for jsonable_encoder for Pydantic v1 and v2

*  Tweak test for compatibility with Pydantic v1 and v2

* 🐛 Fix filtering data with subclasses

* 🐛 Workaround examples in OpenAPI schema

*  Add skip marker for SQL tutorial, needs to be updated either way

*  Update test for broken JSON

*  Fix test for broken JSON

*  Update tests for timedeltas

*  Fix test for plain text validation errors

*  Add markers for Pydantic v1 exclusive tests (for now)

*  Update test for path_params with enums for compatibility with Pydantic v1 and v2

*  Update tests for extra examples in OpenAPI

*  Fix tests for response_model with compatibility with Pydantic v1 and v2

* 🐛 Fix required double serialization for different types of models

*  Fix tests for response model with compatibility with new Pydantic v2

* 🐛 Import Undefined from compat layer

*  Fix tests for response_model for Pydantic v2

*  Fix tests for schema_extra for Pydantic v2

*  Add markers and update tests for Pydantic v2

* 💡 Comment out logic for double encoding that breaks other usecases

*  Update errors for int parsing

* ♻️ Refactor re-enabling compatibility for Pydantic v1

* ♻️ Refactor OpenAPI utils to re-enable support for Pydantic v1

* ♻️ Refactor dependencies/utils and _compat for compatibility with Pydantic v1

* 🐛 Fix and tweak compatibility with Pydantic v1 and v2 in dependencies/utils

*  Tweak tests and examples for Pydantic v1

* ♻️ Tweak call to ModelField.validate for compatibility with Pydantic v1

*  Use new global override TypeAdapter from_attributes

*  Update tests after updating from_attributes

* 🔧 Update pytest config to avoid collecting tests from docs, useful for editor-integrated tests

*  Add test for data filtering, including inheritance and models in fields or lists of models

* ♻️ Make OpenAPI models compatible with both Pydantic v1 and v2

* ♻️ Fix compatibility for Pydantic v1 and v2 in jsonable_encoder

* ♻️ Fix compatibility in params with Pydantic v1 and v2

* ♻️ Fix compatibility when creating a FieldInfo in Pydantic v1 and v2 in utils.py

* ♻️ Fix generation of flat_models and JSON Schema definitions in _compat.py for Pydantic v1 and v2

* ♻️ Update handling of ErrorWrappers for Pydantic v1

* ♻️ Refactor checks and handling of types an sequences

* ♻️ Refactor and cleanup comments with compatibility for Pydantic v1 and v2

* ♻️ Update UploadFile for compatibility with both Pydantic v1 and v2

* 🔥 Remove commented out unneeded code

* 🐛 Fix mock of get_annotation_from_field_info for Pydantic v1 and v2

* 🐛 Fix params with compatibility for Pydantic v1 and v2, with schemas and new pattern vs regex

* 🐛 Fix check if field is sequence for Pydantic v1

*  Fix tests for custom_schema_fields, for compatibility with Pydantic v1 and v2

*  Simplify and fix tests for jsonable_encoder with compatibility for Pydantic v1 and v2

*  Fix tests for orm_mode with Pydantic v1 and compatibility with Pydantic v2

* ♻️ Refactor logic for normalizing Pydantic v1 ErrorWrappers

* ♻️ Workaround for params with examples, before defining what to deprecate in Pydantic v1 and v2 for examples with JSON Schema vs OpenAPI

*  Fix tests for Pydantic v1 and v2 for response_by_alias

*  Fix test for schema_extra with compatibility with Pydantic v1 and v2

* ♻️ Tweak error regeneration with loc

* ♻️ Update error handling and serializationwith compatibility for Pydantic v1 and v2

* ♻️ Re-enable custom encoders for Pydantic v1

* ♻️ Update ErrorWrapper reserialization in Pydantic v1, do it outside of FastAPI ValidationExceptions

*  Update test for filter_submodel, re-structure to simplify testing while keeping division of Pydantic v1 and v2

*  Refactor Pydantic v1 only test that requires modifying environment variables

* 🔥 Update test for plaintext error responses, for Pydantic v1 and v2

* ️ Revert changes in DB tutorial to use Pydantic v1 (the new guide will have SQLModel)

*  Mark current SQL DB tutorial tests as Pydantic only

* ♻️ Update datastructures for compatibility with Pydantic v1, not requiring pydantic-core

* ♻️ Update encoders.py for compatibility with Pydantic v1

* ️ Revert changes to Peewee, the docs for that are gonna live in a new HowTo section, not in the main tutorials

* ♻️ Simplify response body kwargs generation

* 🔥 Clean up comments

* 🔥 Clean some tests and comments

*  Refactor tests to match new Pydantic error string URLs

*  Refactor tests for recursive models for Pydantic v1 and v2

*  Update tests for Peewee, re-enable, Pydantic-v1-only

* ♻️ Update FastAPI params to take regex and pattern arguments

* ️ Revert tutorial examples for pattern, it will be done in a subsequent PR

* ️ Revert changes in schema extra examples, it will be added later in a docs-specific PR

* 💡 Add TODO comment to document str validations with pattern

* 🔥 Remove unneeded comment

* 📌 Upgrade Pydantic pin dependency

* ⬆️ Upgrade email_validator dependency

* 🐛 Tweak type annotations in _compat.py

* 🔇 Tweak mypy errors for compat, for Pydantic v1 re-imports

* 🐛 Tweak and fix type annotations

*  Update requirements-test.txt, re-add dirty-equals

* 🔥 Remove unnecessary config

* 🐛 Tweak type annotations

* 🔥 Remove unnecessary type in dependencies/utils.py

* 💡 Update comment in routing.py

---------

Co-authored-by: David Montague <35119617+dmontagu@users.noreply.github.com>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>

* 👷 Add CI for both Pydantic v1 and v2 (#9688)

* 👷 Test and install Pydantic v1 and v2 in CI

* 💚 Tweak CI config for Pydantic v1 and v2

* 💚 Fix Pydantic v2 specification in CI

* 🐛 Fix type annotations for compatibility with Python 3.7

* 💚 Install Pydantic v2 for lints

* 🐛 Fix type annotations for Pydantic v2

* 💚 Re-use test cache for lint

* ♻️ Refactor internals for test coverage and performance (#9691)

* ♻️ Tweak import of Annotated from typing_extensions, they are installed anyway

* ♻️ Refactor _compat to define functions for Pydantic v1 or v2 once instead of checking inside

*  Add test for UploadFile for Pydantic v2

* ♻️ Refactor types and remove logic for impossible cases

*  Add missing tests from test refactor for path params

*  Add tests for new decimal encoder

* 💡 Add TODO comment for decimals in encoders

* 🔥 Remove unneeded dummy function

* 🔥 Remove section of code in field_annotation_is_scalar covered by sub-call to field_annotation_is_complex

* ♻️ Refactor and tweak variables and types in _compat

*  Add tests for corner cases and compat with Pydantic v1 and v2

* ♻️ Refactor type annotations

* 🔖 Release version 0.100.0-beta1

* ♻️ Refactor parts that use optional requirements to make them compatible with installations without them (#9707)

* ♻️ Refactor parts that use optional requirements to make them compatible with installations without them

* ♻️ Update JSON Schema for email field without email-validator installed

* 🐛 Fix support for Pydantic v2.0, small changes in their final release (#9771)

Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: Sebastián Ramírez <tiangolo@gmail.com>

* 🔖 Release version 0.100.0-beta2

*  OpenAPI 3.1.0 with Pydantic v2, merge `master` (#9773)

*  Add dirty-equals as a testing dependency (#9778)

 Add dirty-equals as a testing dependency, it seems it got lsot at some point

* 🔀 Merge master, fix valid JSON Schema accepting bools (#9782)

* ️ Revert usage of custom logic for TypeAdapter JSON Schema, solved on the Pydantic side (#9787)

️ Revert usage of custom logic for TypeAdapter JSON Schema, solved on Pydantic side

* ♻️ Deprecate parameter `regex`, use `pattern` instead (#9786)

* 📝 Update docs to deprecate regex, recommend pattern

* ♻️ Update examples to use new pattern instead of regex

* 📝 Add new example with deprecated regex

* ♻️ Add deprecation notes and warnings for regex

*  Add tests for regex deprecation

*  Update tests for compatibility with Pydantic v1

*  Update docs to use Pydantic v2 settings and add note and example about v1 (#9788)

*  Add pydantic-settings to all extras

* 📝 Update docs for Pydantic settings

* 📝 Update Settings source examples to use Pydantic v2, and add a Pydantic v1 version

*  Add tests for settings with Pydantic v1 and v2

* 🔥 Remove solved TODO comment

* ♻️ Update conditional OpenAPI to use new Pydantic v2 settings

*  Update tests to import Annotated from typing_extensions for Python < 3.9 (#9795)

*  Add pydantic-extra-types to fastapi[extra]

*  temp: Install Pydantic from source to test JSON Schema metadata fixes (#9777)

*  Install Pydantic from source, from branch for JSON Schema with metadata

*  Update dependencies, install Pydantic main

*  Fix dependency URL for Pydantic from source

*  Add pydantic-settings for test requirements

* 💡 Add TODO comments to re-enable Pydantic main (not from source) (#9796)

*  Add new Pydantic Field param options to Query, Cookie, Body, etc. (#9797)

* 📝 Add docs for Pydantic v2 for `docs/en/docs/advanced/path-operation-advanced-configuration.md` (#9798)

* 📝 Update docs in examples for settings with Pydantic v2 (#9799)

* 📝 Update JSON Schema `examples` docs with Pydantic v2 (#9800)

* ♻️ Use new Pydantic v2 JSON Schema generator (#9813)

Co-authored-by: David Montague <35119617+dmontagu@users.noreply.github.com>

* ♻️ Tweak type annotations and Pydantic version range (#9801)

* 📌 Re-enable GA Pydantic, for v2, require minimum 2.0.2 (#9814)

* 🔖 Release version 0.100.0-beta3

* 🔥 Remove duplicate type declaration from merge conflicts (#9832)

* 👷‍♂️ Run tests with Pydantic v2 GA (#9830)

👷 Run tests for Pydantic v2 GA

* 📝 Add notes to docs expecting Pydantic v2 and future updates (#9833)

* 📝 Update index with new extras

* 📝 Update release notes

---------

Co-authored-by: David Montague <35119617+dmontagu@users.noreply.github.com>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: Pastukhov Nikita <diementros@yandex.ru>
2023-07-07 19:12:13 +02:00

1278 lines
37 KiB
Python

from dirty_equals import IsDict
from fastapi.testclient import TestClient
from fastapi.utils import match_pydantic_error_url
from .main import app
client = TestClient(app)
def test_text_get():
response = client.get("/text")
assert response.status_code == 200, response.text
assert response.json() == "Hello World"
def test_nonexistent():
response = client.get("/nonexistent")
assert response.status_code == 404, response.text
assert response.json() == {"detail": "Not Found"}
def test_path_foobar():
response = client.get("/path/foobar")
assert response.status_code == 200
assert response.json() == "foobar"
def test_path_str_foobar():
response = client.get("/path/str/foobar")
assert response.status_code == 200
assert response.json() == "foobar"
def test_path_str_42():
response = client.get("/path/str/42")
assert response.status_code == 200
assert response.json() == "42"
def test_path_str_True():
response = client.get("/path/str/True")
assert response.status_code == 200
assert response.json() == "True"
def test_path_int_foobar():
response = client.get("/path/int/foobar")
assert response.status_code == 422
assert response.json() == IsDict(
{
"detail": [
{
"type": "int_parsing",
"loc": ["path", "item_id"],
"msg": "Input should be a valid integer, unable to parse string as an integer",
"input": "foobar",
"url": match_pydantic_error_url("int_parsing"),
}
]
}
) | IsDict(
# TODO: remove when deprecating Pydantic v1
{
"detail": [
{
"loc": ["path", "item_id"],
"msg": "value is not a valid integer",
"type": "type_error.integer",
}
]
}
)
def test_path_int_True():
response = client.get("/path/int/True")
assert response.status_code == 422
assert response.json() == IsDict(
{
"detail": [
{
"type": "int_parsing",
"loc": ["path", "item_id"],
"msg": "Input should be a valid integer, unable to parse string as an integer",
"input": "True",
"url": match_pydantic_error_url("int_parsing"),
}
]
}
) | IsDict(
# TODO: remove when deprecating Pydantic v1
{
"detail": [
{
"loc": ["path", "item_id"],
"msg": "value is not a valid integer",
"type": "type_error.integer",
}
]
}
)
def test_path_int_42():
response = client.get("/path/int/42")
assert response.status_code == 200
assert response.json() == 42
def test_path_int_42_5():
response = client.get("/path/int/42.5")
assert response.status_code == 422
assert response.json() == IsDict(
{
"detail": [
{
"type": "int_parsing",
"loc": ["path", "item_id"],
"msg": "Input should be a valid integer, unable to parse string as an integer",
"input": "42.5",
"url": match_pydantic_error_url("int_parsing"),
}
]
}
) | IsDict(
# TODO: remove when deprecating Pydantic v1
{
"detail": [
{
"loc": ["path", "item_id"],
"msg": "value is not a valid integer",
"type": "type_error.integer",
}
]
}
)
def test_path_float_foobar():
response = client.get("/path/float/foobar")
assert response.status_code == 422
assert response.json() == IsDict(
{
"detail": [
{
"type": "float_parsing",
"loc": ["path", "item_id"],
"msg": "Input should be a valid number, unable to parse string as a number",
"input": "foobar",
"url": match_pydantic_error_url("float_parsing"),
}
]
}
) | IsDict(
# TODO: remove when deprecating Pydantic v1
{
"detail": [
{
"loc": ["path", "item_id"],
"msg": "value is not a valid float",
"type": "type_error.float",
}
]
}
)
def test_path_float_True():
response = client.get("/path/float/True")
assert response.status_code == 422
assert response.json() == IsDict(
{
"detail": [
{
"type": "float_parsing",
"loc": ["path", "item_id"],
"msg": "Input should be a valid number, unable to parse string as a number",
"input": "True",
"url": match_pydantic_error_url("float_parsing"),
}
]
}
) | IsDict(
# TODO: remove when deprecating Pydantic v1
{
"detail": [
{
"loc": ["path", "item_id"],
"msg": "value is not a valid float",
"type": "type_error.float",
}
]
}
)
def test_path_float_42():
response = client.get("/path/float/42")
assert response.status_code == 200
assert response.json() == 42
def test_path_float_42_5():
response = client.get("/path/float/42.5")
assert response.status_code == 200
assert response.json() == 42.5
def test_path_bool_foobar():
response = client.get("/path/bool/foobar")
assert response.status_code == 422
assert response.json() == IsDict(
{
"detail": [
{
"type": "bool_parsing",
"loc": ["path", "item_id"],
"msg": "Input should be a valid boolean, unable to interpret input",
"input": "foobar",
"url": match_pydantic_error_url("bool_parsing"),
}
]
}
) | IsDict(
# TODO: remove when deprecating Pydantic v1
{
"detail": [
{
"loc": ["path", "item_id"],
"msg": "value could not be parsed to a boolean",
"type": "type_error.bool",
}
]
}
)
def test_path_bool_True():
response = client.get("/path/bool/True")
assert response.status_code == 200
assert response.json() is True
def test_path_bool_42():
response = client.get("/path/bool/42")
assert response.status_code == 422
assert response.json() == IsDict(
{
"detail": [
{
"type": "bool_parsing",
"loc": ["path", "item_id"],
"msg": "Input should be a valid boolean, unable to interpret input",
"input": "42",
"url": match_pydantic_error_url("bool_parsing"),
}
]
}
) | IsDict(
# TODO: remove when deprecating Pydantic v1
{
"detail": [
{
"loc": ["path", "item_id"],
"msg": "value could not be parsed to a boolean",
"type": "type_error.bool",
}
]
}
)
def test_path_bool_42_5():
response = client.get("/path/bool/42.5")
assert response.status_code == 422
assert response.json() == IsDict(
{
"detail": [
{
"type": "bool_parsing",
"loc": ["path", "item_id"],
"msg": "Input should be a valid boolean, unable to interpret input",
"input": "42.5",
"url": match_pydantic_error_url("bool_parsing"),
}
]
}
) | IsDict(
# TODO: remove when deprecating Pydantic v1
{
"detail": [
{
"loc": ["path", "item_id"],
"msg": "value could not be parsed to a boolean",
"type": "type_error.bool",
}
]
}
)
def test_path_bool_1():
response = client.get("/path/bool/1")
assert response.status_code == 200
assert response.json() is True
def test_path_bool_0():
response = client.get("/path/bool/0")
assert response.status_code == 200
assert response.json() is False
def test_path_bool_true():
response = client.get("/path/bool/true")
assert response.status_code == 200
assert response.json() is True
def test_path_bool_False():
response = client.get("/path/bool/False")
assert response.status_code == 200
assert response.json() is False
def test_path_bool_false():
response = client.get("/path/bool/false")
assert response.status_code == 200
assert response.json() is False
def test_path_param_foo():
response = client.get("/path/param/foo")
assert response.status_code == 200
assert response.json() == "foo"
def test_path_param_minlength_foo():
response = client.get("/path/param-minlength/foo")
assert response.status_code == 200
assert response.json() == "foo"
def test_path_param_minlength_fo():
response = client.get("/path/param-minlength/fo")
assert response.status_code == 422
assert response.json() == IsDict(
{
"detail": [
{
"type": "string_too_short",
"loc": ["path", "item_id"],
"msg": "String should have at least 3 characters",
"input": "fo",
"ctx": {"min_length": 3},
"url": match_pydantic_error_url("string_too_short"),
}
]
}
) | IsDict(
# TODO: remove when deprecating Pydantic v1
{
"detail": [
{
"loc": ["path", "item_id"],
"msg": "ensure this value has at least 3 characters",
"type": "value_error.any_str.min_length",
"ctx": {"limit_value": 3},
}
]
}
)
def test_path_param_maxlength_foo():
response = client.get("/path/param-maxlength/foo")
assert response.status_code == 200
assert response.json() == "foo"
def test_path_param_maxlength_foobar():
response = client.get("/path/param-maxlength/foobar")
assert response.status_code == 422
assert response.json() == IsDict(
{
"detail": [
{
"type": "string_too_long",
"loc": ["path", "item_id"],
"msg": "String should have at most 3 characters",
"input": "foobar",
"ctx": {"max_length": 3},
"url": match_pydantic_error_url("string_too_long"),
}
]
}
) | IsDict(
# TODO: remove when deprecating Pydantic v1
{
"detail": [
{
"loc": ["path", "item_id"],
"msg": "ensure this value has at most 3 characters",
"type": "value_error.any_str.max_length",
"ctx": {"limit_value": 3},
}
]
}
)
def test_path_param_min_maxlength_foo():
response = client.get("/path/param-min_maxlength/foo")
assert response.status_code == 200
assert response.json() == "foo"
def test_path_param_min_maxlength_foobar():
response = client.get("/path/param-min_maxlength/foobar")
assert response.status_code == 422
assert response.json() == IsDict(
{
"detail": [
{
"type": "string_too_long",
"loc": ["path", "item_id"],
"msg": "String should have at most 3 characters",
"input": "foobar",
"ctx": {"max_length": 3},
"url": match_pydantic_error_url("string_too_long"),
}
]
}
) | IsDict(
# TODO: remove when deprecating Pydantic v1
{
"detail": [
{
"loc": ["path", "item_id"],
"msg": "ensure this value has at most 3 characters",
"type": "value_error.any_str.max_length",
"ctx": {"limit_value": 3},
}
]
}
)
def test_path_param_min_maxlength_f():
response = client.get("/path/param-min_maxlength/f")
assert response.status_code == 422
assert response.json() == IsDict(
{
"detail": [
{
"type": "string_too_short",
"loc": ["path", "item_id"],
"msg": "String should have at least 2 characters",
"input": "f",
"ctx": {"min_length": 2},
"url": match_pydantic_error_url("string_too_short"),
}
]
}
) | IsDict(
{
"detail": [
{
"loc": ["path", "item_id"],
"msg": "ensure this value has at least 2 characters",
"type": "value_error.any_str.min_length",
"ctx": {"limit_value": 2},
}
]
}
)
def test_path_param_gt_42():
response = client.get("/path/param-gt/42")
assert response.status_code == 200
assert response.json() == 42
def test_path_param_gt_2():
response = client.get("/path/param-gt/2")
assert response.status_code == 422
assert response.json() == IsDict(
{
"detail": [
{
"type": "greater_than",
"loc": ["path", "item_id"],
"msg": "Input should be greater than 3",
"input": "2",
"ctx": {"gt": 3.0},
"url": match_pydantic_error_url("greater_than"),
}
]
}
) | IsDict(
# TODO: remove when deprecating Pydantic v1
{
"detail": [
{
"loc": ["path", "item_id"],
"msg": "ensure this value is greater than 3",
"type": "value_error.number.not_gt",
"ctx": {"limit_value": 3},
}
]
}
)
def test_path_param_gt0_0_05():
response = client.get("/path/param-gt0/0.05")
assert response.status_code == 200
assert response.json() == 0.05
def test_path_param_gt0_0():
response = client.get("/path/param-gt0/0")
assert response.status_code == 422
assert response.json() == IsDict(
{
"detail": [
{
"type": "greater_than",
"loc": ["path", "item_id"],
"msg": "Input should be greater than 0",
"input": "0",
"ctx": {"gt": 0.0},
"url": match_pydantic_error_url("greater_than"),
}
]
}
) | IsDict(
# TODO: remove when deprecating Pydantic v1
{
"detail": [
{
"loc": ["path", "item_id"],
"msg": "ensure this value is greater than 0",
"type": "value_error.number.not_gt",
"ctx": {"limit_value": 0},
}
]
}
)
def test_path_param_ge_42():
response = client.get("/path/param-ge/42")
assert response.status_code == 200
assert response.json() == 42
def test_path_param_ge_3():
response = client.get("/path/param-ge/3")
assert response.status_code == 200
assert response.json() == 3
def test_path_param_ge_2():
response = client.get("/path/param-ge/2")
assert response.status_code == 422
assert response.json() == IsDict(
{
"detail": [
{
"type": "greater_than_equal",
"loc": ["path", "item_id"],
"msg": "Input should be greater than or equal to 3",
"input": "2",
"ctx": {"ge": 3.0},
"url": match_pydantic_error_url("greater_than_equal"),
}
]
}
) | IsDict(
# TODO: remove when deprecating Pydantic v1
{
"detail": [
{
"loc": ["path", "item_id"],
"msg": "ensure this value is greater than or equal to 3",
"type": "value_error.number.not_ge",
"ctx": {"limit_value": 3},
}
]
}
)
def test_path_param_lt_42():
response = client.get("/path/param-lt/42")
assert response.status_code == 422
assert response.json() == IsDict(
{
"detail": [
{
"type": "less_than",
"loc": ["path", "item_id"],
"msg": "Input should be less than 3",
"input": "42",
"ctx": {"lt": 3.0},
"url": match_pydantic_error_url("less_than"),
}
]
}
) | IsDict(
# TODO: remove when deprecating Pydantic v1
{
"detail": [
{
"loc": ["path", "item_id"],
"msg": "ensure this value is less than 3",
"type": "value_error.number.not_lt",
"ctx": {"limit_value": 3},
}
]
}
)
def test_path_param_lt_2():
response = client.get("/path/param-lt/2")
assert response.status_code == 200
assert response.json() == 2
def test_path_param_lt0__1():
response = client.get("/path/param-lt0/-1")
assert response.status_code == 200
assert response.json() == -1
def test_path_param_lt0_0():
response = client.get("/path/param-lt0/0")
assert response.status_code == 422
assert response.json() == IsDict(
{
"detail": [
{
"type": "less_than",
"loc": ["path", "item_id"],
"msg": "Input should be less than 0",
"input": "0",
"ctx": {"lt": 0.0},
"url": match_pydantic_error_url("less_than"),
}
]
}
) | IsDict(
# TODO: remove when deprecating Pydantic v1
{
"detail": [
{
"loc": ["path", "item_id"],
"msg": "ensure this value is less than 0",
"type": "value_error.number.not_lt",
"ctx": {"limit_value": 0},
}
]
}
)
def test_path_param_le_42():
response = client.get("/path/param-le/42")
assert response.status_code == 422
assert response.json() == IsDict(
{
"detail": [
{
"type": "less_than_equal",
"loc": ["path", "item_id"],
"msg": "Input should be less than or equal to 3",
"input": "42",
"ctx": {"le": 3.0},
"url": match_pydantic_error_url("less_than_equal"),
}
]
}
) | IsDict(
# TODO: remove when deprecating Pydantic v1
{
"detail": [
{
"loc": ["path", "item_id"],
"msg": "ensure this value is less than or equal to 3",
"type": "value_error.number.not_le",
"ctx": {"limit_value": 3},
}
]
}
)
def test_path_param_le_3():
response = client.get("/path/param-le/3")
assert response.status_code == 200
assert response.json() == 3
def test_path_param_le_2():
response = client.get("/path/param-le/2")
assert response.status_code == 200
assert response.json() == 2
def test_path_param_lt_gt_2():
response = client.get("/path/param-lt-gt/2")
assert response.status_code == 200
assert response.json() == 2
def test_path_param_lt_gt_4():
response = client.get("/path/param-lt-gt/4")
assert response.status_code == 422
assert response.json() == IsDict(
{
"detail": [
{
"type": "less_than",
"loc": ["path", "item_id"],
"msg": "Input should be less than 3",
"input": "4",
"ctx": {"lt": 3.0},
"url": match_pydantic_error_url("less_than"),
}
]
}
) | IsDict(
# TODO: remove when deprecating Pydantic v1
{
"detail": [
{
"loc": ["path", "item_id"],
"msg": "ensure this value is less than 3",
"type": "value_error.number.not_lt",
"ctx": {"limit_value": 3},
}
]
}
)
def test_path_param_lt_gt_0():
response = client.get("/path/param-lt-gt/0")
assert response.status_code == 422
assert response.json() == IsDict(
{
"detail": [
{
"type": "greater_than",
"loc": ["path", "item_id"],
"msg": "Input should be greater than 1",
"input": "0",
"ctx": {"gt": 1.0},
"url": match_pydantic_error_url("greater_than"),
}
]
}
) | IsDict(
# TODO: remove when deprecating Pydantic v1
{
"detail": [
{
"loc": ["path", "item_id"],
"msg": "ensure this value is greater than 1",
"type": "value_error.number.not_gt",
"ctx": {"limit_value": 1},
}
]
}
)
def test_path_param_le_ge_2():
response = client.get("/path/param-le-ge/2")
assert response.status_code == 200
assert response.json() == 2
def test_path_param_le_ge_1():
response = client.get("/path/param-le-ge/1")
assert response.status_code == 200
def test_path_param_le_ge_3():
response = client.get("/path/param-le-ge/3")
assert response.status_code == 200
assert response.json() == 3
def test_path_param_le_ge_4():
response = client.get("/path/param-le-ge/4")
assert response.status_code == 422
assert response.json() == IsDict(
{
"detail": [
{
"type": "less_than_equal",
"loc": ["path", "item_id"],
"msg": "Input should be less than or equal to 3",
"input": "4",
"ctx": {"le": 3.0},
"url": match_pydantic_error_url("less_than_equal"),
}
]
}
) | IsDict(
# TODO: remove when deprecating Pydantic v1
{
"detail": [
{
"loc": ["path", "item_id"],
"msg": "ensure this value is less than or equal to 3",
"type": "value_error.number.not_le",
"ctx": {"limit_value": 3},
}
]
}
)
def test_path_param_lt_int_2():
response = client.get("/path/param-lt-int/2")
assert response.status_code == 200
assert response.json() == 2
def test_path_param_lt_int_42():
response = client.get("/path/param-lt-int/42")
assert response.status_code == 422
assert response.json() == IsDict(
{
"detail": [
{
"type": "less_than",
"loc": ["path", "item_id"],
"msg": "Input should be less than 3",
"input": "42",
"ctx": {"lt": 3},
"url": match_pydantic_error_url("less_than"),
}
]
}
) | IsDict(
# TODO: remove when deprecating Pydantic v1
{
"detail": [
{
"loc": ["path", "item_id"],
"msg": "ensure this value is less than 3",
"type": "value_error.number.not_lt",
"ctx": {"limit_value": 3},
}
]
}
)
def test_path_param_lt_int_2_7():
response = client.get("/path/param-lt-int/2.7")
assert response.status_code == 422
assert response.json() == IsDict(
{
"detail": [
{
"type": "int_parsing",
"loc": ["path", "item_id"],
"msg": "Input should be a valid integer, unable to parse string as an integer",
"input": "2.7",
"url": match_pydantic_error_url("int_parsing"),
}
]
}
) | IsDict(
# TODO: remove when deprecating Pydantic v1
{
"detail": [
{
"loc": ["path", "item_id"],
"msg": "value is not a valid integer",
"type": "type_error.integer",
}
]
}
)
def test_path_param_gt_int_42():
response = client.get("/path/param-gt-int/42")
assert response.status_code == 200
assert response.json() == 42
def test_path_param_gt_int_2():
response = client.get("/path/param-gt-int/2")
assert response.status_code == 422
assert response.json() == IsDict(
{
"detail": [
{
"type": "greater_than",
"loc": ["path", "item_id"],
"msg": "Input should be greater than 3",
"input": "2",
"ctx": {"gt": 3},
"url": match_pydantic_error_url("greater_than"),
}
]
}
) | IsDict(
# TODO: remove when deprecating Pydantic v1
{
"detail": [
{
"loc": ["path", "item_id"],
"msg": "ensure this value is greater than 3",
"type": "value_error.number.not_gt",
"ctx": {"limit_value": 3},
}
]
}
)
def test_path_param_gt_int_2_7():
response = client.get("/path/param-gt-int/2.7")
assert response.status_code == 422
assert response.json() == IsDict(
{
"detail": [
{
"type": "int_parsing",
"loc": ["path", "item_id"],
"msg": "Input should be a valid integer, unable to parse string as an integer",
"input": "2.7",
"url": match_pydantic_error_url("int_parsing"),
}
]
}
) | IsDict(
# TODO: remove when deprecating Pydantic v1
{
"detail": [
{
"loc": ["path", "item_id"],
"msg": "value is not a valid integer",
"type": "type_error.integer",
}
]
}
)
def test_path_param_le_int_42():
response = client.get("/path/param-le-int/42")
assert response.status_code == 422
assert response.json() == IsDict(
{
"detail": [
{
"type": "less_than_equal",
"loc": ["path", "item_id"],
"msg": "Input should be less than or equal to 3",
"input": "42",
"ctx": {"le": 3},
"url": match_pydantic_error_url("less_than_equal"),
}
]
}
) | IsDict(
# TODO: remove when deprecating Pydantic v1
{
"detail": [
{
"loc": ["path", "item_id"],
"msg": "ensure this value is less than or equal to 3",
"type": "value_error.number.not_le",
"ctx": {"limit_value": 3},
}
]
}
)
def test_path_param_le_int_3():
response = client.get("/path/param-le-int/3")
assert response.status_code == 200
assert response.json() == 3
def test_path_param_le_int_2():
response = client.get("/path/param-le-int/2")
assert response.status_code == 200
assert response.json() == 2
def test_path_param_le_int_2_7():
response = client.get("/path/param-le-int/2.7")
assert response.status_code == 422
assert response.json() == IsDict(
{
"detail": [
{
"type": "int_parsing",
"loc": ["path", "item_id"],
"msg": "Input should be a valid integer, unable to parse string as an integer",
"input": "2.7",
"url": match_pydantic_error_url("int_parsing"),
}
]
}
) | IsDict(
# TODO: remove when deprecating Pydantic v1
{
"detail": [
{
"loc": ["path", "item_id"],
"msg": "value is not a valid integer",
"type": "type_error.integer",
}
]
}
)
def test_path_param_ge_int_42():
response = client.get("/path/param-ge-int/42")
assert response.status_code == 200
assert response.json() == 42
def test_path_param_ge_int_3():
response = client.get("/path/param-ge-int/3")
assert response.status_code == 200
assert response.json() == 3
def test_path_param_ge_int_2():
response = client.get("/path/param-ge-int/2")
assert response.status_code == 422
assert response.json() == IsDict(
{
"detail": [
{
"type": "greater_than_equal",
"loc": ["path", "item_id"],
"msg": "Input should be greater than or equal to 3",
"input": "2",
"ctx": {"ge": 3},
"url": match_pydantic_error_url("greater_than_equal"),
}
]
}
) | IsDict(
# TODO: remove when deprecating Pydantic v1
{
"detail": [
{
"loc": ["path", "item_id"],
"msg": "ensure this value is greater than or equal to 3",
"type": "value_error.number.not_ge",
"ctx": {"limit_value": 3},
}
]
}
)
def test_path_param_ge_int_2_7():
response = client.get("/path/param-ge-int/2.7")
assert response.status_code == 422
assert response.json() == IsDict(
{
"detail": [
{
"type": "int_parsing",
"loc": ["path", "item_id"],
"msg": "Input should be a valid integer, unable to parse string as an integer",
"input": "2.7",
"url": match_pydantic_error_url("int_parsing"),
}
]
}
) | IsDict(
# TODO: remove when deprecating Pydantic v1
{
"detail": [
{
"loc": ["path", "item_id"],
"msg": "value is not a valid integer",
"type": "type_error.integer",
}
]
}
)
def test_path_param_lt_gt_int_2():
response = client.get("/path/param-lt-gt-int/2")
assert response.status_code == 200
assert response.json() == 2
def test_path_param_lt_gt_int_4():
response = client.get("/path/param-lt-gt-int/4")
assert response.status_code == 422
assert response.json() == IsDict(
{
"detail": [
{
"type": "less_than",
"loc": ["path", "item_id"],
"msg": "Input should be less than 3",
"input": "4",
"ctx": {"lt": 3},
"url": match_pydantic_error_url("less_than"),
}
]
}
) | IsDict(
# TODO: remove when deprecating Pydantic v1
{
"detail": [
{
"loc": ["path", "item_id"],
"msg": "ensure this value is less than 3",
"type": "value_error.number.not_lt",
"ctx": {"limit_value": 3},
}
]
}
)
def test_path_param_lt_gt_int_0():
response = client.get("/path/param-lt-gt-int/0")
assert response.status_code == 422
assert response.json() == IsDict(
{
"detail": [
{
"type": "greater_than",
"loc": ["path", "item_id"],
"msg": "Input should be greater than 1",
"input": "0",
"ctx": {"gt": 1},
"url": match_pydantic_error_url("greater_than"),
}
]
}
) | IsDict(
# TODO: remove when deprecating Pydantic v1
{
"detail": [
{
"loc": ["path", "item_id"],
"msg": "ensure this value is greater than 1",
"type": "value_error.number.not_gt",
"ctx": {"limit_value": 1},
}
]
}
)
def test_path_param_lt_gt_int_2_7():
response = client.get("/path/param-lt-gt-int/2.7")
assert response.status_code == 422
assert response.json() == IsDict(
{
"detail": [
{
"type": "int_parsing",
"loc": ["path", "item_id"],
"msg": "Input should be a valid integer, unable to parse string as an integer",
"input": "2.7",
"url": match_pydantic_error_url("int_parsing"),
}
]
}
) | IsDict(
# TODO: remove when deprecating Pydantic v1
{
"detail": [
{
"loc": ["path", "item_id"],
"msg": "value is not a valid integer",
"type": "type_error.integer",
}
]
}
)
def test_path_param_le_ge_int_2():
response = client.get("/path/param-le-ge-int/2")
assert response.status_code == 200
assert response.json() == 2
def test_path_param_le_ge_int_1():
response = client.get("/path/param-le-ge-int/1")
assert response.status_code == 200
assert response.json() == 1
def test_path_param_le_ge_int_3():
response = client.get("/path/param-le-ge-int/3")
assert response.status_code == 200
assert response.json() == 3
def test_path_param_le_ge_int_4():
response = client.get("/path/param-le-ge-int/4")
assert response.status_code == 422
assert response.json() == IsDict(
{
"detail": [
{
"type": "less_than_equal",
"loc": ["path", "item_id"],
"msg": "Input should be less than or equal to 3",
"input": "4",
"ctx": {"le": 3},
"url": match_pydantic_error_url("less_than_equal"),
}
]
}
) | IsDict(
# TODO: remove when deprecating Pydantic v1
{
"detail": [
{
"loc": ["path", "item_id"],
"msg": "ensure this value is less than or equal to 3",
"type": "value_error.number.not_le",
"ctx": {"limit_value": 3},
}
]
}
)
def test_path_param_le_ge_int_2_7():
response = client.get("/path/param-le-ge-int/2.7")
assert response.status_code == 422
assert response.json() == IsDict(
{
"detail": [
{
"type": "int_parsing",
"loc": ["path", "item_id"],
"msg": "Input should be a valid integer, unable to parse string as an integer",
"input": "2.7",
"url": match_pydantic_error_url("int_parsing"),
}
]
}
) | IsDict(
# TODO: remove when deprecating Pydantic v1
{
"detail": [
{
"loc": ["path", "item_id"],
"msg": "value is not a valid integer",
"type": "type_error.integer",
}
]
}
)