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We are analyzing https://github.com/pydantic/pydantic/issues/4380.

Title:
`StrictBytes` does not raise `ValidationError` when `max_length` is present in `Field` · Issue #4380 · pydantic/pydantic
Description:
Initial Checks I have searched GitHub for a duplicate issue and I'm sure this is something new I have searched Google & StackOverflow for a solution and couldn't find anything I have re...
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strictbytes, field, pydantic, raise, maxlength, assert, validationerror, present, bug, import, modelabarthur, strerrorvalue, issue, class, def, error, failed, sign, code, arthurazs, version, model, pytest, pytestraisesvalidationerror, hramezani, samuelcolvin, github, basemodel, modelbasemodel, teststestmymodelpy, testbstr, python, data, type, navigation, pull, requests, actions, security, closed, description, searched, docs, fastapi, mypy, create, object, assume, modela, intended,

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cache/pypoetry/virtualenvs/asd-8jlwexqw-py3 hramezani edits member samuelcolvin edits member /home/arthurazs/ pydantic import basemodel comment metadata assignees personal information `strictbytes` test_b_str - failed def test_b_str pydantic version 1 pydantic v1 0-46-generic-x86_64 duplicate issue def test_a_str searched github docs type projects strictbytes = field raise python python-devtools =b'lucas' bug validation intended behaviour json strictbytes anymore =b'arthur' raise validationerror raise typeerror raise `validationerror` raise print =b'art' issue description failed ============================= 1 failed 10/lib/python3 private attributes intended behavior submitted asap jeanarhancet mentioned projects milestone milestone relationships assert 'value_error assert 'type_error tools - mypy pydantic type code github

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DiscussionForumPosting:
      context:https://schema.org
      headline:`StrictBytes` does not raise `ValidationError` when `max_length` is present in `Field`
      articleBody:### Initial Checks - [X] I have searched GitHub for a duplicate issue and I'm sure this is something new - [X] I have searched Google & StackOverflow for a solution and couldn't find anything - [X] I have read and followed [the docs](https://pydantic-docs.helpmanual.io) and still think this is a bug - [X] I am confident that the issue is with pydantic (not my code, or another library in the ecosystem like [FastAPI](https://fastapi.tiangolo.com) or [mypy](https://mypy.readthedocs.io/en/stable)) ### Description I'm using pydantic version 1.9.2. Mind this model: ```python # my_model/__init__.py from pydantic import BaseModel, StrictBytes, Field class Model(BaseModel): a: StrictBytes = Field(...) b: StrictBytes = Field(..., max_length=5) ``` Even though `b` is `StrictBytes`, I can create an object with the following line: `m = Model(a=b'arthur', b=123)` which I assume is a bug. I cannot create an object the other way around: `m = Model(a=123, b=b'art')`, which I assume is the intended behaviour. --- Here follows a pytest example: ```python # tests/test_my_model.py from my_model import Model import pytest from pydantic import ValidationError def test_normal(): m = Model(a=b'arthur', b=b'lucas') assert m.a == b'arthur' assert m.b == b'lucas' def test_large(): with pytest.raises(ValidationError) as error: m = Model(a=b'arthur', b=b'arthur') assert 'b\n' in str(error.value) assert 'value_error.any_str.max_length' in str(error.value) def test_a_str(): with pytest.raises(ValidationError) as error: m = Model(a=123123, b=b'lucas') assert 'a\n' in str(error.value) assert 'type_error.bytes' in str(error.value) def test_b_str(): with pytest.raises(ValidationError) as error: m = Model(a=b'arthur', b=123) # does not raise assert 'b\n' in str(error.value) assert 'type_error.bytes' in str(error.value) ``` And the output from pytest: ```bash platform linux -- Python 3.10.6, pytest-6.2.5, py-1.11.0, pluggy-1.0.0 rootdir: /home/arthurazs/Desktop/my_model collected 4 items tests/test_my_model.py ...F [100%] ====================================== FAILURES ======================================= _____________________________________ test_b_str ______________________________________ def test_b_str(): > with pytest.raises(ValidationError) as error: E Failed: DID NOT RAISE <class 'pydantic.error_wrappers.ValidationError'> tests/test_my_model.py:24: Failed =============================== short test summary info =============================== FAILED tests/test_my_model.py::test_b_str - Failed: DID NOT RAISE <class 'pydantic.e... ============================= 1 failed, 3 passed in 0.04s ============================= ``` ### Example Code ```Python from pydantic import BaseModel, StrictBytes, Field class Model(BaseModel): a: StrictBytes = Field(...) b: StrictBytes = Field(..., max_length=5) m = Model(a=b'arthur', b=123) # does not raise ``` ### Python, Pydantic & OS Version ```Text pydantic version: 1.9.2 pydantic compiled: True install path: /home/arthurazs/.cache/pypoetry/virtualenvs/asd-8JLwExQw-py3.10/lib/python3.10/site-packages/pydantic python version: 3.10.6 (main, Aug 2 2022, 15:11:28) [GCC 9.4.0] platform: Linux-5.15.0-46-generic-x86_64-with-glibc2.31 optional deps. installed: ['typing-extensions'] ``` ### Affected Components - [ ] [Compatibility between releases](https://pydantic-docs.helpmanual.io/changelog/) - [X] [Data validation/parsing](https://pydantic-docs.helpmanual.io/usage/models/#basic-model-usage) - [ ] [Data serialization](https://pydantic-docs.helpmanual.io/usage/exporting_models/) - `.dict()` and `.json()` - [ ] [JSON Schema](https://pydantic-docs.helpmanual.io/usage/schema/) - [ ] [Dataclasses](https://pydantic-docs.helpmanual.io/usage/dataclasses/) - [ ] [Model Config](https://pydantic-docs.helpmanual.io/usage/model_config/) - [X] [Field Types](https://pydantic-docs.helpmanual.io/usage/types/) - adding or changing a particular data type - [ ] [Function validation decorator](https://pydantic-docs.helpmanual.io/usage/validation_decorator/) - [ ] [Generic Models](https://pydantic-docs.helpmanual.io/usage/models/#generic-models) - [ ] [Other Model behaviour](https://pydantic-docs.helpmanual.io/usage/models/) - `construct()`, pickling, private attributes, ORM mode - [ ] [Settings Management](https://pydantic-docs.helpmanual.io/usage/settings/) - [ ] [Plugins](https://pydantic-docs.helpmanual.io/) and integration with other tools - mypy, FastAPI, python-devtools, Hypothesis, VS Code, PyCharm, etc.
      author:
         url:https://github.com/arthurazs
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      datePublished:2022-08-15T21:06:05.000Z
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      url:https://github.com/4380/pydantic/issues/4380
      context:https://schema.org
      headline:`StrictBytes` does not raise `ValidationError` when `max_length` is present in `Field`
      articleBody:### Initial Checks - [X] I have searched GitHub for a duplicate issue and I'm sure this is something new - [X] I have searched Google & StackOverflow for a solution and couldn't find anything - [X] I have read and followed [the docs](https://pydantic-docs.helpmanual.io) and still think this is a bug - [X] I am confident that the issue is with pydantic (not my code, or another library in the ecosystem like [FastAPI](https://fastapi.tiangolo.com) or [mypy](https://mypy.readthedocs.io/en/stable)) ### Description I'm using pydantic version 1.9.2. Mind this model: ```python # my_model/__init__.py from pydantic import BaseModel, StrictBytes, Field class Model(BaseModel): a: StrictBytes = Field(...) b: StrictBytes = Field(..., max_length=5) ``` Even though `b` is `StrictBytes`, I can create an object with the following line: `m = Model(a=b'arthur', b=123)` which I assume is a bug. I cannot create an object the other way around: `m = Model(a=123, b=b'art')`, which I assume is the intended behaviour. --- Here follows a pytest example: ```python # tests/test_my_model.py from my_model import Model import pytest from pydantic import ValidationError def test_normal(): m = Model(a=b'arthur', b=b'lucas') assert m.a == b'arthur' assert m.b == b'lucas' def test_large(): with pytest.raises(ValidationError) as error: m = Model(a=b'arthur', b=b'arthur') assert 'b\n' in str(error.value) assert 'value_error.any_str.max_length' in str(error.value) def test_a_str(): with pytest.raises(ValidationError) as error: m = Model(a=123123, b=b'lucas') assert 'a\n' in str(error.value) assert 'type_error.bytes' in str(error.value) def test_b_str(): with pytest.raises(ValidationError) as error: m = Model(a=b'arthur', b=123) # does not raise assert 'b\n' in str(error.value) assert 'type_error.bytes' in str(error.value) ``` And the output from pytest: ```bash platform linux -- Python 3.10.6, pytest-6.2.5, py-1.11.0, pluggy-1.0.0 rootdir: /home/arthurazs/Desktop/my_model collected 4 items tests/test_my_model.py ...F [100%] ====================================== FAILURES ======================================= _____________________________________ test_b_str ______________________________________ def test_b_str(): > with pytest.raises(ValidationError) as error: E Failed: DID NOT RAISE <class 'pydantic.error_wrappers.ValidationError'> tests/test_my_model.py:24: Failed =============================== short test summary info =============================== FAILED tests/test_my_model.py::test_b_str - Failed: DID NOT RAISE <class 'pydantic.e... ============================= 1 failed, 3 passed in 0.04s ============================= ``` ### Example Code ```Python from pydantic import BaseModel, StrictBytes, Field class Model(BaseModel): a: StrictBytes = Field(...) b: StrictBytes = Field(..., max_length=5) m = Model(a=b'arthur', b=123) # does not raise ``` ### Python, Pydantic & OS Version ```Text pydantic version: 1.9.2 pydantic compiled: True install path: /home/arthurazs/.cache/pypoetry/virtualenvs/asd-8JLwExQw-py3.10/lib/python3.10/site-packages/pydantic python version: 3.10.6 (main, Aug 2 2022, 15:11:28) [GCC 9.4.0] platform: Linux-5.15.0-46-generic-x86_64-with-glibc2.31 optional deps. installed: ['typing-extensions'] ``` ### Affected Components - [ ] [Compatibility between releases](https://pydantic-docs.helpmanual.io/changelog/) - [X] [Data validation/parsing](https://pydantic-docs.helpmanual.io/usage/models/#basic-model-usage) - [ ] [Data serialization](https://pydantic-docs.helpmanual.io/usage/exporting_models/) - `.dict()` and `.json()` - [ ] [JSON Schema](https://pydantic-docs.helpmanual.io/usage/schema/) - [ ] [Dataclasses](https://pydantic-docs.helpmanual.io/usage/dataclasses/) - [ ] [Model Config](https://pydantic-docs.helpmanual.io/usage/model_config/) - [X] [Field Types](https://pydantic-docs.helpmanual.io/usage/types/) - adding or changing a particular data type - [ ] [Function validation decorator](https://pydantic-docs.helpmanual.io/usage/validation_decorator/) - [ ] [Generic Models](https://pydantic-docs.helpmanual.io/usage/models/#generic-models) - [ ] [Other Model behaviour](https://pydantic-docs.helpmanual.io/usage/models/) - `construct()`, pickling, private attributes, ORM mode - [ ] [Settings Management](https://pydantic-docs.helpmanual.io/usage/settings/) - [ ] [Plugins](https://pydantic-docs.helpmanual.io/) and integration with other tools - mypy, FastAPI, python-devtools, Hypothesis, VS Code, PyCharm, etc.
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      url:https://github.com/4380/pydantic/issues/4380
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