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Title:
Support jsonschema's const keyword. Β· Issue #434 Β· pydantic/pydantic
Description:
Feature Request https://json-schema.org/latest/json-schema-validation.html#rfc.section.6.1.3 This is a very useful feature for when structural subtyping just doesn't quite cut it and you need t...
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const, schema, keyword, samuelcolvin, bar, implement, sean, request, commented, react, feat, sign, pull, support, issue, feature, class, type, pydantic, types, required, work, added, tiangolo, navigation, code, requests, actions, security, jsonschemas, closed, structurally, identical, foopydanticbasemodel, baz, title, foo, happy, member, contributor, str, consttrue, wanted, mentioned, qazzquimby, github, projects, milestone, footer, skip,
Topics {βοΈ}
org/latest/json-schema-validation wanted pull request 594908d sean1708 mentioned comment metadata assignees structurally identical types code base implement const keyword json schema work feature const keyword //json-schema misusing types const=true update pydantic support structural subtyping 6d72b11 feat 65a488a feat ad50a9f feat 7c5221e feat str = field optional property projects milestone milestone relationships str = schema github class foo type projects happy const pydantic class schema work foo type skip jump sign section cut differentiate semantically ways implemented basemodel bar constant = baz constant
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DiscussionForumPosting:
context:https://schema.org
headline:Support jsonschema's const keyword.
articleBody:# Feature Request
https://json-schema.org/latest/json-schema-validation.html#rfc.section.6.1.3
This is a very useful feature for when structural subtyping just doesn't quite cut it and you need to differentiate two semantically different but structurally identical types.
Some ways that this could be implemented:
```python
class Foo(pydantic.BaseModel):
bar: pydantic.Constant = "baz"
```
```python
class Foo(pydantic.BaseModel):
bar: pydantic.constant("baz")
```
Which would each generate the following schema:
```json
{
"title": "Foo",
"type": "object",
"properties": {
"bar": {
"title": "Bar",
"const": "baz"
}
},
"required": ["bar"]
}
```
I'm happy to put some work in for this, if it's something that you're willing to support.
author:
url:https://github.com/Sean1708
type:Person
name:Sean1708
datePublished:2019-03-26T17:27:47.000Z
interactionStatistic:
type:InteractionCounter
interactionType:https://schema.org/CommentAction
userInteractionCount:7
url:https://github.com/434/pydantic/issues/434
context:https://schema.org
headline:Support jsonschema's const keyword.
articleBody:# Feature Request
https://json-schema.org/latest/json-schema-validation.html#rfc.section.6.1.3
This is a very useful feature for when structural subtyping just doesn't quite cut it and you need to differentiate two semantically different but structurally identical types.
Some ways that this could be implemented:
```python
class Foo(pydantic.BaseModel):
bar: pydantic.Constant = "baz"
```
```python
class Foo(pydantic.BaseModel):
bar: pydantic.constant("baz")
```
Which would each generate the following schema:
```json
{
"title": "Foo",
"type": "object",
"properties": {
"bar": {
"title": "Bar",
"const": "baz"
}
},
"required": ["bar"]
}
```
I'm happy to put some work in for this, if it's something that you're willing to support.
author:
url:https://github.com/Sean1708
type:Person
name:Sean1708
datePublished:2019-03-26T17:27:47.000Z
interactionStatistic:
type:InteractionCounter
interactionType:https://schema.org/CommentAction
userInteractionCount:7
url:https://github.com/434/pydantic/issues/434
Person:
url:https://github.com/Sean1708
name:Sean1708
url:https://github.com/Sean1708
name:Sean1708
InteractionCounter:
interactionType:https://schema.org/CommentAction
userInteractionCount:7
interactionType:https://schema.org/CommentAction
userInteractionCount:7
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