GITHUB . COM {}

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🚀🌠 Tremendous Traffic: 10M - 20M visitors per month


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Prices on github.com are in US Dollars ($). They range from $4.00/month to $21.00/month.
We estimate that the site has approximately 4,989,889 paying customers.
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Keywords {🔍}

default, pydantic, maxanystrlength, str, import, schema, sign, issue, bytes, class, code, baseconfigs, basemodel, modelbasemodel, json, version, type, python, samuelcolvin, navigation, pull, requests, actions, security, closed, tiangolo, bug, config, validation, model, maxlength, doesnt, make, constraint, defaults, fixed, option, standard, constrained, add, extra, github, labels, projects, milestone, footer, skip, content, menu, product,

Topics {✒️}

add extra code pydantic import basemodel activity tiangolo mentioned personal information baseconfig' hold binary data applicable feature request completed alexdrydew added comment metadata assignees constrained json schema default extra constraint verified 82d071a sign json schema config class max_anystr_length default default constraint constrained version fixed default baseconfig' pydantic str = schema default max_length suggest changing complex rationale bugs/questions master branch test case fixed number assigned labels projects milestone milestone relationships labels type type projects bug github model python standard str default basemodel validation max_anystr_length sys version type sign config standard str max_length=2 16 skip

Payment Methods {📊}

• Braintree

Questions {❓}

• Already have an account?
• Is there a more complex rationale for the fixed default that I'm not seeing?

Schema {🗺️}

DiscussionForumPosting:
      context:https://schema.org
      headline:BaseConfig's max_anystr_length default
      articleBody:<!-- Questions, Feature Requests, and Bug Reports are all welcome --> <!-- delete as applicable: --> # Bug: BaseConfig's max_anystr_length default Currently, `str` and `bytes` are validated using the `Config` class. By default, it imposes a validation of `max_anystr_length` of `2 ** 16`. The result is that declaring a model: ```Python from pydantic import BaseModel class Model(BaseModel): a: str ``` would be equivalent (with respect to validations) to: ```Python from pydantic import BaseModel class Model(BaseModel): a: constr(max_length=2 ** 16) ``` or ```Python from pydantic import BaseModel, Schema class Model(BaseModel): a: str = Schema(..., max_length=2 ** 16) ``` (although the JSON schema currently doesn't show the default max_length). --- Given that `bytes` are made to hold binary data that might be large, I think it doesn't make much sense to have that default constraint, especially for `bytes`. I can also imagine a whole book in a `str` would have the same problem. I would suggest changing the defaults of `min_anystr_length` and `max_anystr_length` to `None`. Is there a more complex rationale for the fixed default that I'm not seeing? One option is to set the defaults of `Config` to `None` (I vote for this). The other option is to make the generated JSON Schema match the actual default validation behavior. But I think it would probably seem counterintuitive to declare a model with a standard `str` or `bytes` and get a constrained version (and a constrained JSON Schema). And having to add extra code to remove a default extra constraint, while using a "standard" type (unconstrained in Python). For bugs/questions: * OS: **All** * Python version `import sys; print(sys.version)`: **All** * Pydantic version `import pydantic; print(pydantic.VERSION)`: **`master` branch** Where possible please include a self contained code snippet describing your bug, question, or where applicable feature request: > PR with test case in 5 min.
      author:
         url:https://github.com/tiangolo
         type:Person
         name:tiangolo
      datePublished:2019-01-05T14:26:10.000Z
      interactionStatistic:
         type:InteractionCounter
         interactionType:https://schema.org/CommentAction
         userInteractionCount:1
      url:https://github.com/349/pydantic/issues/349
      context:https://schema.org
      headline:BaseConfig's max_anystr_length default
      articleBody:<!-- Questions, Feature Requests, and Bug Reports are all welcome --> <!-- delete as applicable: --> # Bug: BaseConfig's max_anystr_length default Currently, `str` and `bytes` are validated using the `Config` class. By default, it imposes a validation of `max_anystr_length` of `2 ** 16`. The result is that declaring a model: ```Python from pydantic import BaseModel class Model(BaseModel): a: str ``` would be equivalent (with respect to validations) to: ```Python from pydantic import BaseModel class Model(BaseModel): a: constr(max_length=2 ** 16) ``` or ```Python from pydantic import BaseModel, Schema class Model(BaseModel): a: str = Schema(..., max_length=2 ** 16) ``` (although the JSON schema currently doesn't show the default max_length). --- Given that `bytes` are made to hold binary data that might be large, I think it doesn't make much sense to have that default constraint, especially for `bytes`. I can also imagine a whole book in a `str` would have the same problem. I would suggest changing the defaults of `min_anystr_length` and `max_anystr_length` to `None`. Is there a more complex rationale for the fixed default that I'm not seeing? One option is to set the defaults of `Config` to `None` (I vote for this). The other option is to make the generated JSON Schema match the actual default validation behavior. But I think it would probably seem counterintuitive to declare a model with a standard `str` or `bytes` and get a constrained version (and a constrained JSON Schema). And having to add extra code to remove a default extra constraint, while using a "standard" type (unconstrained in Python). For bugs/questions: * OS: **All** * Python version `import sys; print(sys.version)`: **All** * Pydantic version `import pydantic; print(pydantic.VERSION)`: **`master` branch** Where possible please include a self contained code snippet describing your bug, question, or where applicable feature request: > PR with test case in 5 min.
      author:
         url:https://github.com/tiangolo
         type:Person
         name:tiangolo
      datePublished:2019-01-05T14:26:10.000Z
      interactionStatistic:
         type:InteractionCounter
         interactionType:https://schema.org/CommentAction
         userInteractionCount:1
      url:https://github.com/349/pydantic/issues/349
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      url:https://github.com/tiangolo
      name:tiangolo
      url:https://github.com/tiangolo
      name:tiangolo
InteractionCounter:
      interactionType:https://schema.org/CommentAction
      userInteractionCount:1
      interactionType:https://schema.org/CommentAction
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