typedecorator | A decorator-based implementation of type checks | Architecture library

 by   dobarkod Python Version: 0.0.5 License: No License

kandi X-RAY | typedecorator Summary

kandi X-RAY | typedecorator Summary

typedecorator is a Python library typically used in Architecture applications. typedecorator has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can install using 'pip install typedecorator' or download it from GitHub, PyPI.

A decorator-based implementation of type checks for Python. Provides @params, @returns and @void decorators for describing the type of the function arguments and return values. If the types mismatch, an exception can be thrown, the mismatch can be logged, or it can be ignored. Works on Python 2.5+ and Python 3.2+.
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            kandi-support Support

              typedecorator has a low active ecosystem.
              It has 145 star(s) with 6 fork(s). There are 4 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 5 open issues and 5 have been closed. On average issues are closed in 4 days. There are 3 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of typedecorator is 0.0.5

            kandi-Quality Quality

              typedecorator has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              typedecorator does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
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              Without a license, all rights are reserved, and you cannot use the library in your applications.

            kandi-Reuse Reuse

              typedecorator releases are not available. You will need to build from source code and install.
              Deployable package is available in PyPI.
              Build file is available. You can build the component from source.
              Installation instructions, examples and code snippets are available.
              typedecorator saves you 203 person hours of effort in developing the same functionality from scratch.
              It has 498 lines of code, 76 functions and 4 files.
              It has medium code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed typedecorator and discovered the below as its top functions. This is intended to give you an instant insight into typedecorator implemented functionality, and help decide if they suit your requirements.
            • Decorator for functions
            • Verify that v is a valid type
            • Checks whether the given object is valid
            • Convert a constraint to a string
            • Logs an error message
            • Return the list of class names of an object
            • Mark a function as typedef
            • Decorator for parameters
            • Decorator to specify a function return type
            Get all kandi verified functions for this library.

            typedecorator Key Features

            No Key Features are available at this moment for typedecorator.

            typedecorator Examples and Code Snippets

            No Code Snippets are available at this moment for typedecorator.

            Community Discussions

            QUESTION

            how can I stop the [UtcDateTime cache_ok ]warn? When I run airflow dag
            Asked 2022-Mar-08 at 19:01

            when I run airflow server : My version is airflow lastest(2.2).when I run the program,the dag log

            ...

            ANSWER

            Answered 2022-Mar-08 at 19:01

            This is due to change in SQLAlchemy 1.4 (see release notes)

            If you get this warning it means that you did not install Airflow from constraints (see docs) as in constraints for Airflow 2.2.3 it has SQLAlchemy==1.3.24

            As for future versions Airflow 2.2.4 limits the lib version to <1.4 to as you can see from this PR

            Source https://stackoverflow.com/questions/71022291

            QUESTION

            Creating Relationships in vanilla SQLAlchemy
            Asked 2021-Dec-02 at 15:09

            I recently started using SQLAlchemy for a database application I'm working on. Things were going fine until I required relationships. I have looked at the documentation and found out what to do. However, it only works when my models are in the same .py file. That is a bit messy to me so I tried to separate them out into their own model_name.py files. eg:

            frame_model.py:

            ...

            ANSWER

            Answered 2021-Dec-02 at 15:09

            Thanks to @snakecharmerb's advice, and a bit of extra work I was able to resolve the issue.

            In sale_model.py I imported the FrameModel class and added the line:

            Source https://stackoverflow.com/questions/70192387

            QUESTION

            Python SQLALchemy use pgp_sym_decrypt for columns instead of pgp_sym_encrypt for variable in the where clause of the compiled query
            Asked 2021-Nov-05 at 15:24

            I use class model for each table with method for every sql operation with SQLAlchemy.

            I install pgp_sym_encrypt and pgp_sym_decrypt with the extension of PostgreSQL

            ...

            ANSWER

            Answered 2021-Nov-05 at 15:24

            QUESTION

            Using custom type with SqlAlchemy, why are the results of process_result_value not transferred when using from_statement?
            Asked 2021-Sep-15 at 16:11

            I am using the custom type form this answer, which is quite similar to the one recommended in the SqlAlchemy documentation, let me reproduce it here for a self-contained question:

            ...

            ANSWER

            Answered 2021-Sep-15 at 16:11

            The fix for my problem was to not rely on the textual replace * by id in my textual query.

            It's not documented on Query.from_statement, but I've found out that I can use it with a query that returns only the primary keys and let SqlAlchemy resolve the remaining fields.

            This solves the problem because SqlAlchemy will not do the textual mapping from the result of the SQL query directly, and does the mapping correctly, at the cost of making one extra query for each resulting id.

            Source https://stackoverflow.com/questions/69181651

            QUESTION

            How to set default value to a custom type in sqlalchemy?
            Asked 2021-Jun-09 at 10:20

            I want to set a column default value for my custom column type.

            Currently I have this:

            ...

            ANSWER

            Answered 2021-Jun-09 at 10:20

            I have solved the problem by adjusting the init method:

            Source https://stackoverflow.com/questions/67842776

            QUESTION

            SQLAlchemy TypeDecorator for BigInteger returns Decimal?
            Asked 2020-Nov-04 at 15:11

            I'm trying to create a Type converter on SQLAlchemy that takes a BIGINTEGER from the database, and converts it to a Base64 value.

            The problem is that, for some reasons, the value coming from the database is not an int, but a decimal.Decimal. I suspect this is linked to the BigInteger class I use (from the MySQL dialect instead of the BIGINT from SQLAlchemy because I need to set the unsigned parameter).

            Any idea how to get the value from the database as int and not as decimal.Decimal ?

            Here's my current implementation:

            ...

            ANSWER

            Answered 2020-Nov-04 at 15:11

            BIGINT is returned to you as a python int, not a Decimal. The problem is likely that you didn't actually create the database column as a BIGINT.

            Source https://stackoverflow.com/questions/64682477

            QUESTION

            Decorator, that changes type of value
            Asked 2020-Sep-20 at 14:17

            I want to create decorators, which will change type of returning value:

            ...

            ANSWER

            Answered 2020-Sep-20 at 13:48

            You don't need a bunch of nearly identical decorators. Just define one parameterized decorator that takes as its argument the desired return type.

            Source https://stackoverflow.com/questions/63979547

            QUESTION

            Marshmallow validation incorrectly fails when using an SQLAlchemy TypeDecorator
            Asked 2020-Jun-13 at 17:27

            I have created a TypeDecorator based off of the SQLAlchemy example that converts between a 32-character hex string and the BINARY database column in which the UUID is stored:

            ...

            ANSWER

            Answered 2020-Jun-13 at 17:27

            So far I have found two ways to solve this issue:

            1. adjust the types of the TypeDecorator so that it acts like a CHAR column instead of a binary column and use load_dialect_impl to change the type as presented to the database, specifying the different length as a parameter

            Source https://stackoverflow.com/questions/62202075

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

            Vulnerabilities

            No vulnerabilities reported

            Install typedecorator

            Install the package using pip:. You can now start using it in your code. You ony need to call setup_typecheck once to enable it and optionally configure exceptions thrown and logging level. You can use it multiple time to change, disable, or re-enable typechecks at runtime. See the Setup section for more information.
            The function setup_typecheck takes care of enabling, disabling, and configuring type checks at "compile" (parse) time and at runtime.
            enabled - whether to enable checks of any kind (default: True)
            exception - which exception to raise if type check fails (default: TypeError), or None to disable raising the exception
            loglevel - the log level at which to log the type error (see the standard logging module for possible levels), or None to disable type error logging.

            Support

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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            Install
          • PyPI

            pip install typedecorator

          • CLONE
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            https://github.com/dobarkod/typedecorator.git

          • CLI

            gh repo clone dobarkod/typedecorator

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            git@github.com:dobarkod/typedecorator.git

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