voluptuous | CONTRIBUTIONS ONLY : Voluptuous despite the name | JSON Processing library
kandi X-RAY | voluptuous Summary
kandi X-RAY | voluptuous Summary
Voluptuous, despite the name, is a Python data validation library. It is primarily intended for validating data coming into Python as JSON, YAML, etc.
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Top functions reviewed by kandi - BETA
- Compiles a mapping .
- Compile scalar .
- Wraps the given fcl .
- validate a schema
- Compute the priority sort .
- Convert a string to a boolean value .
- Attempt to parse an email address .
- Test if v is true .
- Execute a list of functions
- iterate over an object
voluptuous Key Features
voluptuous Examples and Code Snippets
user.name:
firstName: Test # required
lastName: User # required
initials: TU
emailAddress: testuser@example.com # can also be a list of addresses
organizationUnit: Department1
manager: some.manager # ID of another existing user
gith
from sklearn.neighbors import KNeighborsRegressor
>>> class KnnTuner(Tuner):
... name = "k-nn"
... search = {'n_neighbors': [1, 5]}
... Regressor = KNeighborsRegressor
>>> from sklearn.svm import SVR
>>> class
schema_schema({
'type': 'object',
'properties': {
'some_key': {'type': ['string', 'number']}
},
})
convert({
'type': 'object',
'properties': {
'some_key': {'type': ['string', 'number']},
'key_with_a_defaul
from voluptuous import Schema
from ruamel.yaml import load, RoundTripLoader
from io import StringIO
Validate = Schema({
'name': {
'firstname': str,
'lastname': str
},
'age': int,
})
data = """
name:
firs
error: Microsoft Visual C++ 14.0 is required. Get it with "Microsoft Visual
C++ Build Tools": http://landinghub.visualstudio.com/visual-cpp-build-tools
pip install -U steem
pip help install
from collections import defaultdict
# Dict how calls dict[key] = list() if you trying to access non-existing key.
template_render_params = defaultdict(list)
for camera in JSON_DATA["cameras"]:
template_render_params['camera_names'].a
from collections import Counter
counter = Counter()
words = ['voluptuous',
'outbreak',
'starched',
'sharpest',
'widens',
'briefcase',
'stag',
'gracias',
'complexes',
'magnum',
'classifying',
'eloquent',
'forecasters',
'sheph
brew install Libxmlsec1
brew install pkg-config
pip install xmlsec
KEY_SCHEMA = Schema(Any(str, unicode))
def validate_key(my_key):
if type(my_key) is not str and type(my_key) is not unicode:
logger.error("{} is not a str or unicode. Aborting.") # if you use the logger library
sys.exi
Community Discussions
Trending Discussions on voluptuous
QUESTION
I am using voluptuous
a lot to validate yaml description files. Often the errors are cumbersome to decipher, especially for regular users.
I am looking for a way to make the error a bit more readable. One way is to identify which line in the YAML file is incrimined.
...ANSWER
Answered 2022-Feb-07 at 14:55The problem is that on the API boundary of yaml.load
, all representational information of the source has been lost. Validate
gets a Python dict and does not know where it originated from, and moreover the dict does not contain this information.
You can, however, implement this yourself. voluptuous' Invalid
error carries a path
which is a list of keys to follow. Having this path, you can parse the YAML again into nodes (which carry representation information) and discover the position of the item:
QUESTION
For data validation, Python coders frequently will use this library called Voluptuous. Is a great library to validate data before processing it further in the code.
Is there any equivalent NuGet library we can use in C#?
Below is a python snippet on how to use voluptuous in python
...ANSWER
Answered 2021-Dec-23 at 04:32I'm unsure how well it pairs to Voluptuous (I'm not a user of Python at all), but FluentValidation is a library that I like and use often. It's pretty flexible and has met my needs easily so far.
There is also the option of using the native data annotations, but this is less flexible and couples things too closely for my personal liking. I use these only in very rare cases.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install voluptuous
You can use voluptuous like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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