Davis Kirkendall db697cc799 Add exclude as field parameter (#2231)
* Add exclude/include as field parameters

- Add "exclude" / "include" as a field parameter so that it can be
  configured using model config (or fields) instead of purely at
  `.dict` / `.json` export time.
- Unify merging logic of advanced include/exclude fields
- Add tests for merging logic and field/config exclude/include params
- Closes #660

* Precompute include/exclude fields for class

* Increase test coverage
* Remove (now) redundant type checks in Model._iter: New
  exclusion/inclusion algorithms guarantee that no sets are passed further down.

* Add docs for advanced field level exclude/include settings

* Minimal optimization for simple exclude/include export

Running benchmarks this vs. master is at:

this: pydantic best=33.225μs/iter avg=33.940μs/iter stdev=1.120μs/iter version=1.7.3
master: pydantic best=32.901μs/iter avg=33.276μs/iter stdev=0.242μs/iter version=1.7.3

* Apply review comments on exclude/enclude field arguments

* Fix/simplify type annotations
* Allow both ``True`` and ``Ellipsis`` to be used to indicate full field
  exclusion
* Reenable hypothesis plugin (removed by mistake)
* Update advanced include/include docs to use ``True`` instead of ``...``

* Move field info exclude/include updates into FieldInfo class

This way, the model field object does not need to concern itself with
dealing with field into specific fields.
(Same was done for alias in a previous commit).

* remove double back tick in markdown.

Co-authored-by: Samuel Colvin <samcolvin@gmail.com>
2021-05-01 16:45:37 +01:00
2021-04-02 18:16:02 +01:00
2019-08-18 15:58:45 +01:00
2021-02-11 12:33:11 +00:00
2021-03-03 17:03:59 +00:00
2021-02-26 16:38:26 +00:00
2021-02-11 00:16:14 +01:00
2021-02-26 16:30:08 +00:00
2021-03-27 21:33:59 +00:00

pydantic

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Data validation and settings management using Python type hinting.

Fast and extensible, pydantic plays nicely with your linters/IDE/brain. Define how data should be in pure, canonical Python 3.6+; validate it with pydantic.

Help

See documentation for more details.

Installation

Install using pip install -U pydantic or conda install pydantic -c conda-forge. For more installation options to make pydantic even faster, see the Install section in the documentation.

A Simple Example

from datetime import datetime
from typing import List, Optional
from pydantic import BaseModel

class User(BaseModel):
    id: int
    name = 'John Doe'
    signup_ts: Optional[datetime] = None
    friends: List[int] = []

external_data = {'id': '123', 'signup_ts': '2017-06-01 12:22', 'friends': [1, '2', b'3']}
user = User(**external_data)
print(user)
#> User id=123 name='John Doe' signup_ts=datetime.datetime(2017, 6, 1, 12, 22) friends=[1, 2, 3]
print(user.id)
#> 123

Contributing

For guidance on setting up a development environment and how to make a contribution to pydantic, see Contributing to Pydantic.

Reporting a Security Vulnerability

See our security policy.

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