mirror of
https://github.com/kennethreitz/pydantic.git
synced 2026-06-05 23:00:18 +00:00
Nikita Grishko
4f4e22ef47
* POC of error context and message * Move type errors to the `errors.py` module; Change errors interface a bit * Rename `.as_dict()` to `.dict()` * Fix `PydanticErrorMixin` constructor * Rename `exceptions.py` to `error_wrappers.py` * Do not include nullable `ctx` * Fix tests * Added `int_validator`; Added `IntegerError` * Added `float_validator`; Added `FloatError` * Get rid of `__mro__` in prior of `exc.code` * Removed `min_number_size` and `max_number_size` from config (#174) * Added `NumberMinSizeError` and `NumberMaxSizeError` * Added `NoneIsNotAllowedError` * Added `EnumError` * Added `path_validator`; Added `PathError` * Added `DictError` * Added `ListError` * Added `TupleError` * Added `SetError` * Added `datetime` related errors * Added `bytes` and `str` related errors * Added `SequenceError` * Improved code coverage * Display error context in string representation of validation error * Redefine error message templates using config * Review fixes * Updated changelog
325 lines
7.5 KiB
Python
325 lines
7.5 KiB
Python
from typing import Dict, List, Union
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from uuid import UUID, uuid4
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import pytest
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from pydantic import UUID1, BaseModel, conint, errors
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from pydantic.error_wrappers import ValidationError, flatten_errors, get_exc_type
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@pytest.mark.parametrize('result,expected', (
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(
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'display_errors',
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"""\
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a
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value is not a valid integer (type=type_error.integer)
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b -> x
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field required (type=value_error.missing)
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b -> z
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field required (type=value_error.missing)
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c -> 0 -> x
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value is not a valid integer (type=type_error.integer)
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d
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value is not a valid integer (type=type_error.integer)
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d
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value is not a valid uuid (type=type_error.uuid)
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e -> __key__
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value is not a valid integer (type=type_error.integer)
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f -> 0
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value is not a valid integer (type=type_error.integer)
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f -> 0
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none is not an allow value (type=type_error.none.not_allowed)
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g
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uuid version 1 expected (type=value_error.uuid.version; required_version=1)
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h
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yet another error message template 42 (type=value_error.number.min_size; limit_value=42)""",
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),
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(
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'flatten_errors',
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[
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{
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'loc': (
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'a',
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),
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'msg': 'value is not a valid integer',
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'type': 'type_error.integer',
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},
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{
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'loc': (
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'b',
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'x',
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),
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'msg': 'field required',
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'type': 'value_error.missing',
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},
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{
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'loc': (
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'b',
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'z',
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),
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'msg': 'field required',
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'type': 'value_error.missing',
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},
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{
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'loc': (
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'c',
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0,
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'x',
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),
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'msg': 'value is not a valid integer',
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'type': 'type_error.integer',
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},
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{
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'loc': (
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'd',
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),
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'msg': 'value is not a valid integer',
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'type': 'type_error.integer',
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},
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{
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'loc': (
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'd',
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),
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'msg': 'value is not a valid uuid',
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'type': 'type_error.uuid',
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},
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{
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'loc': (
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'e',
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'__key__',
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),
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'msg': 'value is not a valid integer',
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'type': 'type_error.integer',
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},
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{
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'loc': (
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'f',
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0,
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),
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'msg': 'value is not a valid integer',
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'type': 'type_error.integer',
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},
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{
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'loc': (
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'f',
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0,
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),
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'msg': 'none is not an allow value',
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'type': 'type_error.none.not_allowed',
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},
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{
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'loc': (
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'g',
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),
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'msg': 'uuid version 1 expected',
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'type': 'value_error.uuid.version',
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'ctx': {
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'required_version': 1,
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},
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},
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{
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'loc': (
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'h',
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),
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'msg': 'yet another error message template 42',
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'type': 'value_error.number.min_size',
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'ctx': {
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'limit_value': 42,
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},
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}
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],
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),
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(
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'json',
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"""\
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[
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{
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"loc": [
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"a"
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],
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"msg": "value is not a valid integer",
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"type": "type_error.integer"
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},
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{
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"loc": [
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"b",
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"x"
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],
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"msg": "field required",
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"type": "value_error.missing"
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},
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{
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"loc": [
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"b",
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"z"
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],
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"msg": "field required",
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"type": "value_error.missing"
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},
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{
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"loc": [
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"c",
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0,
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"x"
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],
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"msg": "value is not a valid integer",
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"type": "type_error.integer"
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},
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{
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"loc": [
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"d"
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],
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"msg": "value is not a valid integer",
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"type": "type_error.integer"
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},
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{
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"loc": [
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"d"
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],
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"msg": "value is not a valid uuid",
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"type": "type_error.uuid"
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},
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{
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"loc": [
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"e",
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"__key__"
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],
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"msg": "value is not a valid integer",
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"type": "type_error.integer"
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},
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{
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"loc": [
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"f",
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0
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],
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"msg": "value is not a valid integer",
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"type": "type_error.integer"
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},
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{
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"loc": [
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"f",
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0
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],
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"msg": "none is not an allow value",
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"type": "type_error.none.not_allowed"
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},
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{
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"ctx": {
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"required_version": 1
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},
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"loc": [
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"g"
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],
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"msg": "uuid version 1 expected",
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"type": "value_error.uuid.version"
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},
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{
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"ctx": {
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"limit_value": 42
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},
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"loc": [
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"h"
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],
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"msg": "yet another error message template 42",
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"type": "value_error.number.min_size"
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}
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]"""
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),
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(
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'__str__',
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"""\
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validation errors
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a
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value is not a valid integer (type=type_error.integer)
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b -> x
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field required (type=value_error.missing)
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b -> z
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field required (type=value_error.missing)
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c -> 0 -> x
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value is not a valid integer (type=type_error.integer)
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d
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value is not a valid integer (type=type_error.integer)
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d
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value is not a valid uuid (type=type_error.uuid)
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e -> __key__
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value is not a valid integer (type=type_error.integer)
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f -> 0
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value is not a valid integer (type=type_error.integer)
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f -> 0
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none is not an allow value (type=type_error.none.not_allowed)
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g
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uuid version 1 expected (type=value_error.uuid.version; required_version=1)
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h
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yet another error message template 42 (type=value_error.number.min_size; limit_value=42)"""
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),
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))
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def test_validation_error(result, expected):
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class SubModel(BaseModel):
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x: int
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y: int
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z: str
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class Model(BaseModel):
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a: int
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b: SubModel
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c: List[SubModel]
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d: Union[int, UUID]
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e: Dict[int, str]
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f: List[Union[int, str]]
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g: UUID1
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h: conint(gt=42)
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class Config:
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error_msg_templates = {
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'value_error.number.min_size': 'yet another error message template {limit_value}',
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}
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with pytest.raises(ValidationError) as exc_info:
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Model.parse_obj({
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'a': 'not_int',
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'b': {
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'y': 42,
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},
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'c': [
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{
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'x': 'not_int',
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'y': 42,
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'z': 'string',
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},
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],
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'd': 'string',
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'e': {
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'not_int': 'string',
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},
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'f': [
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None,
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],
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'g': uuid4(),
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'h': 21,
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})
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result = getattr(exc_info.value, result)
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if callable(result):
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result = result()
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assert result == expected
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def test_flatten_errors_unknown_error_object():
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with pytest.raises(RuntimeError):
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list(flatten_errors([object]))
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@pytest.mark.parametrize('exc,type_', (
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(TypeError(), 'type_error'),
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(ValueError(), 'value_error'),
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(errors.DecimalIsNotFiniteError(), 'value_error.decimal.not_finite'),
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))
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def test_get_exc_type(exc, type_):
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if isinstance(type_, str):
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assert get_exc_type(exc) == type_
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else:
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with pytest.raises(type_) as exc_info:
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get_exc_type(exc)
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assert isinstance(exc_info.value, type_)
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