Files
pydantic/tests/test_utils.py
T
Sebastián Ramírez 94706bc834 JSON Schema update/refactor/augment, to conform to spec (#308)
* Update schema tests to conform to JSON Schema spec

* Add JSON Schema tests for all supported types

including datetime and all supported Pydantic.types

* Add JSON Schema conforming schema sub module

* Update BaseModel to use schema module for JSON Schema generation

and update/simplify internal Schema methods

* Remove Schema code from Field class, replaced with JSON Schema module

* Add submodules to test model name generation for JSON Schemas

* Refactor/rewrite schema module to generate definions and refs

* Update and augment JSON Schema tests to include definitions and refs

and generation of a single JSON Schema with definitions from multiple (unrelated) models

* Add ref_prefix functionality to JSON Schema generation functions

* Test custom ref_prefix in JSON Schema generation

* Remove un-used BaseModel method, now refactored to schema module

* Update formating of test_schema

* Fix long lines in test_schema

* Fix imported but unused in fields

* Fix imported but unused in main.py

* Ignore imported but unused for testing modulec

* Refactor schema module for complexity

* Add conflicting name model to raise coverage

* Add conflicting model to test other flow and raise coverage

* Ignore complexity as destructuring more would make it more complex

and more difficult to understand, similar to .fields.validate

* Fix import sorting

* Update formatting with black, with CI settings

* Fix test for schemas with email validation

* Check if field is class before checking if is subclass

* Improve schema error when using unsuported types

* Add additional tests for corner cases, raise coverage to 100%

* Rename BaseModel.schema_json to schema_str (EAFP Python style)

* Add more tests to utils.display_as_type to increase the coverage for enums

* Remove unused catched error in schema tests

* Fix formatting with black

* Update docs schema example

* Add schema examples for top-level schema with multiple models

* Update docs, section Schema, with new JSON Schema generation details

* Update docs, history, with new features

* Update fields, remove unnecessary schema code for enums

* Update docs, fix links and typos in Schema section

* Trigger CI, as Python 3.7-dev seems to have random CI errors

* Revert Model.schema_str to Model.schema_json as requested

* Remove unnecessary assert in schema module as requested

* Remove annotations in internal functions, as requested

* Refactor get_flat_models_from_fields and reuse

* Use set short assignment syntax in schema module

* Remove unwanted assertion

* Make get_long_model_name a single line f-string

* Update model_name_map, add docstring and remove first return value

* Simplify dict operation in get_model_name_map as requested

* Make more concise model_name_map computation

* Remove bool from field check in schema as is subclass of int

* Make ref_prefix default to None and use global default

* Fix formatting for schema.py

* Refactor field_singleton_schema to use data structures

* Move main functions to top of schema, and add docstrings for them

* Implement __all__, move and order parts of schema

* Remove schema testing sub-package code as requested

* Generate schema testing subpackage in code

* Update schema tests with several related fields to use parametrized pytest

* Fix formatting and imports I missed after rebase

* Fix new formatting errors from CI

* Re-trigger Travis CI, Python 3.7-dev random error again, no re-run click in Travis for non owners

* Trigger annotation error with non-forward references

* Add docstrings for submodel schema

* tweaks and rewrite schema mapping table in python

* support complex defaults

* use str not int as dict keys

* Fix links to JSON Schema and OpenAPI
2018-11-22 16:00:06 +00:00

138 lines
4.3 KiB
Python

import os
from enum import Enum
from typing import Union
import pytest
from pydantic.utils import display_as_type, import_string, make_dsn, validate_email
try:
import email_validator
except ImportError:
email_validator = None
@pytest.mark.skipif(not email_validator, reason='email_validator not installed')
@pytest.mark.parametrize(
'value,name,email',
[
('foobar@example.com', 'foobar', 'foobar@example.com'),
('s@muelcolvin.com', 's', 's@muelcolvin.com'),
('Samuel Colvin <s@muelcolvin.com>', 'Samuel Colvin', 's@muelcolvin.com'),
('foobar <foobar@example.com>', 'foobar', 'foobar@example.com'),
(' foo.bar@example.com', 'foo.bar', 'foo.bar@example.com'),
('foo.bar@example.com ', 'foo.bar', 'foo.bar@example.com'),
('foo BAR <foobar@example.com >', 'foo BAR', 'foobar@example.com'),
('FOO bar <foobar@example.com> ', 'FOO bar', 'foobar@example.com'),
('<FOOBAR@example.com> ', 'FOOBAR', 'foobar@example.com'),
('ñoñó@example.com', 'ñoñó', 'ñoñó@example.com'),
('我買@example.com', '我買', '我買@example.com'),
('甲斐黒川日本@example.com', '甲斐黒川日本', '甲斐黒川日本@example.com'),
(
'чебурашкаящик-с-апельсинами.рф@example.com',
'чебурашкаящик-с-апельсинами.рф',
'чебурашкаящик-с-апельсинами.рф@example.com',
),
('उदाहरण.परीक्ष@domain.with.idn.tld', 'उदाहरण.परीक्ष', 'उदाहरण.परीक्ष@domain.with.idn.tld'),
('foo.bar@example.com', 'foo.bar', 'foo.bar@example.com'),
('foo.bar@exam-ple.com ', 'foo.bar', 'foo.bar@exam-ple.com'),
('ιωάννης@εεττ.gr', 'ιωάννης', 'ιωάννης@εεττ.gr'),
],
)
def test_address_valid(value, name, email):
assert validate_email(value) == (name, email)
@pytest.mark.skipif(not email_validator, reason='email_validator not installed')
@pytest.mark.parametrize(
'value',
[
'f oo.bar@example.com ',
'foo.bar@exam\nple.com ',
'foobar',
'foobar <foobar@example.com',
'@example.com',
'foobar@.example.com',
'foobar@.com',
'foo bar@example.com',
'foo@bar@example.com',
'\n@example.com',
'\r@example.com',
'\f@example.com',
' @example.com',
'\u0020@example.com',
'\u001f@example.com',
'"@example.com',
'\"@example.com',
',@example.com',
'foobar <foobar<@example.com>',
],
)
def test_address_invalid(value):
with pytest.raises(ValueError):
validate_email(value)
@pytest.mark.skipif(email_validator, reason='email_validator is installed')
def test_email_validator_not_installed():
with pytest.raises(ImportError):
validate_email('s@muelcolvin.com')
def test_empty_dsn():
assert make_dsn(driver='foobar') == 'foobar://'
def test_dsn_odd_user():
assert make_dsn(driver='foobar', user='foo@bar') == 'foobar://foo%40bar@'
def test_import_module():
assert import_string('os.path') == os.path
def test_import_module_invalid():
with pytest.raises(ImportError) as exc_info:
import_string('xx')
assert exc_info.value.args[0] == '"xx" doesn\'t look like a module path'
def test_import_no_attr():
with pytest.raises(ImportError) as exc_info:
import_string('os.foobar')
assert exc_info.value.args[0] == 'Module "os" does not define a "foobar" attribute'
@pytest.mark.parametrize(
'value,expected', ((str, 'str'), ('string', 'str'), (Union[str, int], 'typing.Union[str, int]'))
)
def test_display_as_type(value, expected):
assert display_as_type(value) == expected
def test_display_as_type_enum():
class SubField(Enum):
a = 1
b = 'b'
displayed = display_as_type(SubField)
assert displayed == 'enum'
def test_display_as_type_enum_int():
class SubField(int, Enum):
a = 1
b = 2
displayed = display_as_type(SubField)
assert displayed == 'int'
def test_display_as_type_enum_str():
class SubField(str, Enum):
a = 'a'
b = 'b'
displayed = display_as_type(SubField)
assert displayed == 'str'