voluptuous | CONTRIBUTIONS ONLY : Voluptuous despite the name | JSON Processing library

 by   alecthomas Python Version: 0.14.2 License: BSD-3-Clause

kandi X-RAY | voluptuous Summary

kandi X-RAY | voluptuous Summary

voluptuous is a Python library typically used in Utilities, JSON Processing applications. voluptuous has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has high support. You can install using 'pip install voluptuous' or download it from GitHub, PyPI.

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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            kandi-support Support

              voluptuous has a highly active ecosystem.
              It has 1758 star(s) with 205 fork(s). There are 39 watchers for this library.
              There were 3 major release(s) in the last 6 months.
              There are 40 open issues and 200 have been closed. On average issues are closed in 320 days. There are 3 open pull requests and 0 closed requests.
              It has a positive sentiment in the developer community.
              The latest version of voluptuous is 0.14.2

            kandi-Quality Quality

              voluptuous has 0 bugs and 0 code smells.

            kandi-Security Security

              voluptuous has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              voluptuous code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              voluptuous is licensed under the BSD-3-Clause License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              voluptuous releases are available to install and integrate.
              Deployable package is available in PyPI.
              Build file is available. You can build the component from source.
              Installation instructions are not available. Examples and code snippets are available.

            Top functions reviewed by kandi - BETA

            kandi has reviewed voluptuous and discovered the below as its top functions. This is intended to give you an instant insight into voluptuous implemented functionality, and help decide if they suit your requirements.
            • 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
            Get all kandi verified functions for this library.

            voluptuous Key Features

            No Key Features are available at this moment for voluptuous.

            voluptuous Examples and Code Snippets

            freeipa-manager,Configuration,Type-specific config
            Pythondot img1Lines of Code : 79dot img1License : Non-SPDX (NOASSERTION)
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            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  
            ModelXplore, a python based model exploration,In detail,Tuner
            Pythondot img2Lines of Code : 34dot img2License : Permissive (MIT)
            copy iconCopy
            from sklearn.neighbors import KNeighborsRegressor
            >>> class KnnTuner(Tuner):
            ...     name = "k-nn"
            ...     search = {'n_neighbors': [1, 5]}
            ...     Regressor = KNeighborsRegressor
            
            
            >>> from sklearn.svm import SVR
            >>> class  
            opulent_schema,usage
            Pythondot img3Lines of Code : 20dot img3License : Permissive (BSD-3-Clause)
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            schema_schema({
                'type': 'object',
                'properties': {
                    'some_key': {'type': ['string', 'number']}
                },
            })
            
            convert({
                'type': 'object',
                'properties': {
                    'some_key': {'type': ['string', 'number']},
                    'key_with_a_defaul  
            Voluptuous : give error line in yaml file
            Pythondot img4Lines of Code : 43dot img4License : Strong Copyleft (CC BY-SA 4.0)
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            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
            Pip error: Microsoft Visual C++ 14.0 is required
            Pythondot img5Lines of Code : 11dot img5License : Strong Copyleft (CC BY-SA 4.0)
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            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
            Python: automatize JSON request loading
            Pythondot img6Lines of Code : 15dot img6License : Strong Copyleft (CC BY-SA 4.0)
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            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
            no error after forgetting Schema() in voluptuous
            Pythondot img7Lines of Code : 3dot img7License : Strong Copyleft (CC BY-SA 4.0)
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            PORT3 = vol.Range(min=0, max=65535)
            PORT3(100)
            
            How to calculate the cout of each alphabet in a list?
            Pythondot img8Lines of Code : 31dot img8License : Strong Copyleft (CC BY-SA 4.0)
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            from collections import Counter
            
            counter = Counter()
            
            words = ['voluptuous',
             'outbreak',
             'starched',
             'sharpest',
             'widens',
             'briefcase',
             'stag',
             'gracias',
             'complexes',
             'magnum',
             'classifying',
             'eloquent',
             'forecasters',
             'sheph
            Failed building wheel for xmlsec - mac
            Pythondot img9Lines of Code : 4dot img9License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            brew install Libxmlsec1
            brew install pkg-config
            pip install xmlsec
            
            Getting a better Voluptuous Schema error message for key type validation?
            Pythondot img10Lines of Code : 16dot img10License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            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

            QUESTION

            Voluptuous : give error line in yaml file
            Asked 2022-Feb-07 at 16:42

            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 14:55

            The 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:

            Source https://stackoverflow.com/questions/71007929

            QUESTION

            Is there any data validation nuget library like python's voluptuous in C#?
            Asked 2021-Dec-23 at 04:32

            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 04:32

            I'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.

            Source https://stackoverflow.com/questions/70457585

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install voluptuous

            You can install using 'pip install voluptuous' or download it from GitHub, PyPI.
            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.

            Support

            What does this mean? I do not have time to fix issues myself. The only way fixes or new features will be added is by people submitting PRs. Current status: Voluptuous is largely feature stable. There hasn't been a need to add new features in a while, but there are some bugs that should be fixed. Why? I no longer use Voluptuous personally (in fact I no longer regularly write Python code). Rather than leave the project in a limbo of people filing issues and wondering why they're not being worked on, I believe this notice will more clearly set expectations.
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            Install
          • PyPI

            pip install voluptuous

          • CLONE
          • HTTPS

            https://github.com/alecthomas/voluptuous.git

          • CLI

            gh repo clone alecthomas/voluptuous

          • sshUrl

            git@github.com:alecthomas/voluptuous.git

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