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pip

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Copyright (c) 2018 Anthony Sottile
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in
all copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
THE SOFTWARE.

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Metadata-Version: 2.1
Name: cfgv
Version: 3.3.1
Summary: Validate configuration and produce human readable error messages.
Home-page: https://github.com/asottile/cfgv
Author: Anthony Sottile
Author-email: asottile@umich.edu
License: MIT
Platform: UNKNOWN
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: Implementation :: CPython
Classifier: Programming Language :: Python :: Implementation :: PyPy
Requires-Python: >=3.6.1
Description-Content-Type: text/markdown
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cfgv
====
Validate configuration and produce human readable error messages.
## Installation
`pip install cfgv`
## Sample error messages
These are easier to see by example. Here's an example where I typo'd `true`
in a [pre-commit](https://pre-commit.com) configuration.
```
pre_commit.clientlib.InvalidConfigError:
==> File /home/asottile/workspace/pre-commit/.pre-commit-config.yaml
==> At Config()
==> At key: repos
==> At Repository(repo='https://github.com/pre-commit/pre-commit-hooks')
==> At key: hooks
==> At Hook(id='flake8')
==> At key: always_run
=====> Expected bool got str
```
## API
### `cfgv.validate(value, schema)`
Perform validation on the schema:
- raises `ValidationError` on failure
- returns the value on success (for convenience)
### `cfgv.apply_defaults(value, schema)`
Returns a new value which sets all missing optional values to their defaults.
### `cfgv.remove_defaults(value, schema)`
Returns a new value which removes all optional values that are set to their
defaults.
### `cfgv.load_from_filename(filename, schema, load_strategy, exc_tp=ValidationError)`
Load a file given the `load_strategy`. Reraise any errors as `exc_tp`. All
defaults will be populated in the resulting value.
Most useful when used with `functools.partial` as follows:
```python
load_my_cfg = functools.partial(
cfgv.load_from_filename,
schema=MY_SCHEMA,
load_strategy=json.loads,
exc_tp=MyError,
)
```
## Making a schema
A schema validates a container -- `cfgv` provides `Map` and `Array` for
most normal cases.
### writing your own schema container
If the built-in containers below don't quite satisfy your usecase, you can
always write your own. Containers use the following interface:
```python
class Container(object):
def check(self, v):
"""check the passed in value (do not modify `v`)"""
def apply_defaults(self, v):
"""return a new value with defaults applied (do not modify `v`)"""
def remove_defaults(self, v):
"""return a new value with defaults removed (do not modify `v`)"""
```
### `Map(object_name, id_key, *items)`
The most basic building block for creating a schema is a `Map`
- `object_name`: will be displayed in error messages
- `id_key`: will be used to identify the object in error messages. Set to
`None` if there is no identifying key for the object.
- `items`: validator objects such as `Required` or `Optional`
Consider the following schema:
```python
Map(
'Repo', 'url',
Required('url', check_any),
)
```
In an error message, the map may be displayed as:
- `Repo(url='https://github.com/pre-commit/pre-commit')`
- `Repo(url=MISSING)` (if the key is not present)
### `Array(of, allow_empty=True)`
Used to nest maps inside of arrays. For arrays of scalars, see `check_array`.
- `of`: A `Map` / `Array` or other sub-schema.
- `allow_empty`: when `False`, `Array` will ensure at least one element.
When validated, this will check that each element adheres to the sub-schema.
## Validator objects
Validator objects are used to validate key-value-pairs of a `Map`.
### writing your own validator
If the built-in validators below don't quite satisfy your usecase, you can
always write your own. Validators use the following interface:
```python
class Validator(object):
def check(self, dct):
"""check that your specific key has the appropriate value in `dct`"""
def apply_default(self, dct):
"""modify `dct` and set the default value if it is missing"""
def remove_default(self, dct):
"""modify `dct` and remove the default value if it is present"""
```
It may make sense to _borrow_ functions from the built in validators. They
additionally use the following interface(s):
- `self.key`: the key to check
- `self.check_fn`: the [check function](#check-functions)
- `self.default`: a default value to set.
### `Required(key, check_fn)`
Ensure that a key is present in a `Map` and adheres to the
[check function](#check-functions).
### `RequiredRecurse(key, schema)`
Similar to `Required`, but uses a [schema](#making-a-schema).
### `Optional(key, check_fn, default)`
If a key is present, check that it adheres to the
[check function](#check-functions).
- `apply_defaults` will set the `default` if it is not present.
- `remove_defaults` will remove the value if it is equal to `default`.
### `OptionalRecurse(key, schema, default)`
Similar to `Optional` but uses a [schema](#making-a-schema).
- `apply_defaults` will set the `default` if it is not present and then
validate it with the schema.
- `remove_defaults` will remove defaults using the schema, and then remove the
value it if it is equal to `default`.
### `OptionalNoDefault(key, check_fn)`
Like `Optional`, but does not `apply_defaults` or `remove_defaults`.
### `Conditional(key, check_fn, condition_key, condition_value, ensure_absent=False)`
- If `condition_key` is equal to the `condition_value`, the specific `key`
will be checked using the [check function](#check-functions).
- If `ensure_absent` is `True` and the condition check fails, the `key` will
be checked for absense.
Note that the `condition_value` is checked for equality, so any object
implementing `__eq__` may be used. A few are provided out of the box
for this purpose, see [equality helpers](#equality-helpers).
### `ConditionalOptional(key, check_fn, default, condition_key, condition_value, ensure_absent=False)`
Similar to ``Conditional`` and ``Optional``.
### `ConditionalRecurse(key, schema, condition_key, condition_value, ensure_absent=True)`
Similar to `Conditional`, but uses a [schema](#making-a-schema).
### `NoAdditionalKeys(keys)`
Use in a mapping to ensure that only the `keys` specified are present.
## Equality helpers
Equality helpers at the very least implement `__eq__` for their behaviour.
They may also implement `def describe_opposite(self):` for use in the
`ensure_absent=True` error message (otherwise, the `__repr__` will be used).
### `Not(val)`
Returns `True` if the value is not equal to `val`.
### `In(*values)`
Returns `True` if the value is contained in `values`.
### `NotIn(*values)`
Returns `True` if the value is not contained in `values`.
## Check functions
A number of check functions are provided out of the box.
A check function takes a single parameter, the `value`, and either raises a
`ValidationError` or returns nothing.
### `check_any(_)`
A noop check function.
### `check_type(tp, typename=None)`
Returns a check function to check for a specific type. Setting `typename`
will replace the type's name in the error message.
For example:
```python
Required('key', check_type(int))
# 'Expected bytes' in both python2 and python3.
Required('key', check_type(bytes, typename='bytes'))
```
Several type checking functions are provided out of the box:
- `check_bool`
- `check_bytes`
- `check_int`
- `check_string`
- `check_text`
### `check_one_of(possible)`
Returns a function that checks that the value is contained in `possible`.
For example:
```python
Required('language', check_one_of(('javascript', 'python', 'ruby')))
```
### `check_regex(v)`
Ensures that `v` is a valid python regular expression.
### `check_array(inner_check)`
Returns a function that checks that a value is a sequence and that each
value in that sequence adheres to the `inner_check`.
For example:
```python
Required('args', check_array(check_string))
```
### `check_and(*fns)`
Returns a function that performs multiple checks on a value.
For example:
```python
Required('language', check_and(check_string, my_check_language))
```

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Wheel-Version: 1.0
Generator: bdist_wheel (0.36.2)
Root-Is-Purelib: true
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Tag: py3-none-any