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Title:
Add a standalone implementation for parse_raw similar to parse_file_as and parse_obj_as · Issue #1812 · pydantic/pydantic
Description:
Feature Request As described in the docs: Pydantic includes a standalone utility function parse_obj_as that can be used to apply the parsing logic used to populate pydantic models in a more ad-hoc way. This function behaves similarly to ...
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Topics {✒️}
arbitrary pydantic-compatible types add `parse_raw_as` util 645b814 prettywood mentioned personal information add prettywood added function behaves similarly populate pydantic models comment metadata assignees standalone parse function pydantic import basemodel typing import list enabling code verified 75859a9 sign pydantic includes docs type projects standalone implementation items = parse_obj_as list[item] parsing logic ad-hoc raw string raw data projects milestone milestone relationships parse_raw similar github similar parse_file_as parse_obj_as item_data items parse item' item similar basemodel feat sign item_data_obj enabling id id=1 parse_file_as skip jump apply parse_obj works int print
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context:https://schema.org
headline:Add a standalone implementation for parse_raw similar to parse_file_as and parse_obj_as
articleBody:# Feature Request
As described in the [docs](https://pydantic-docs.helpmanual.io/usage/models/#parsing-data-into-a-specified-type):
> Pydantic includes a standalone utility function parse_obj_as that can be used to apply the parsing logic used to populate pydantic models in a more ad-hoc way. This function behaves similarly to BaseModel.parse_obj, but works with arbitrary pydantic-compatible types.
Enabling code such as this:
```py
from typing import List
from pydantic import BaseModel, parse_obj_as
class Item(BaseModel):
id: int
name: str
item_data = [{'id': 1, 'name': 'My Item'}]
items = parse_obj_as(List[Item], item_data)
print(items)
#> [Item(id=1, name='My Item')]
```
This works if you have a given object () to start with, but if you have a raw string or bytes you are required to parse them first into an object.
Forcing you to write this:
```py
import json
item_data = '[{"id": 1, "name": "My Item"}]'
item_data_obj = json.loads(item_data)
items = parse_obj_as(List[Item], item_data_obj)
```
Instead, I suggest a standalone parse function, similar to `parse_obj_as` but for raw data, enabling something like this:
```py
import json
item_data = '[{"id": 1, "name": "My Item"}]'
items = parse_raw_as(List[Item], item_data)
```
author:
url:https://github.com/mastern2k3
type:Person
name:mastern2k3
datePublished:2020-08-09T14:16:59.000Z
interactionStatistic:
type:InteractionCounter
interactionType:https://schema.org/CommentAction
userInteractionCount:1
url:https://github.com/1812/pydantic/issues/1812
context:https://schema.org
headline:Add a standalone implementation for parse_raw similar to parse_file_as and parse_obj_as
articleBody:# Feature Request
As described in the [docs](https://pydantic-docs.helpmanual.io/usage/models/#parsing-data-into-a-specified-type):
> Pydantic includes a standalone utility function parse_obj_as that can be used to apply the parsing logic used to populate pydantic models in a more ad-hoc way. This function behaves similarly to BaseModel.parse_obj, but works with arbitrary pydantic-compatible types.
Enabling code such as this:
```py
from typing import List
from pydantic import BaseModel, parse_obj_as
class Item(BaseModel):
id: int
name: str
item_data = [{'id': 1, 'name': 'My Item'}]
items = parse_obj_as(List[Item], item_data)
print(items)
#> [Item(id=1, name='My Item')]
```
This works if you have a given object () to start with, but if you have a raw string or bytes you are required to parse them first into an object.
Forcing you to write this:
```py
import json
item_data = '[{"id": 1, "name": "My Item"}]'
item_data_obj = json.loads(item_data)
items = parse_obj_as(List[Item], item_data_obj)
```
Instead, I suggest a standalone parse function, similar to `parse_obj_as` but for raw data, enabling something like this:
```py
import json
item_data = '[{"id": 1, "name": "My Item"}]'
items = parse_raw_as(List[Item], item_data)
```
author:
url:https://github.com/mastern2k3
type:Person
name:mastern2k3
datePublished:2020-08-09T14:16:59.000Z
interactionStatistic:
type:InteractionCounter
interactionType:https://schema.org/CommentAction
userInteractionCount:1
url:https://github.com/1812/pydantic/issues/1812
Person:
url:https://github.com/mastern2k3
name:mastern2k3
url:https://github.com/mastern2k3
name:mastern2k3
InteractionCounter:
interactionType:https://schema.org/CommentAction
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interactionType:https://schema.org/CommentAction
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