elasticmock | Python Elasticsearch Mock for test purposes | Mock library

 by   vrcmarcos Python Version: 1.8.1 License: MIT

kandi X-RAY | elasticmock Summary

kandi X-RAY | elasticmock Summary

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

Python Elasticsearch Mock for test purposes.
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            kandi-support Support

              elasticmock has a low active ecosystem.
              It has 86 star(s) with 55 fork(s). There are 6 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 10 open issues and 24 have been closed. On average issues are closed in 172 days. There are 3 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of elasticmock is 1.8.1

            kandi-Quality Quality

              elasticmock has no bugs reported.

            kandi-Security Security

              elasticmock has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              elasticmock is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              elasticmock 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 are not available. Examples and code snippets are available.

            Top functions reviewed by kandi - BETA

            kandi has reviewed elasticmock and discovered the below as its top functions. This is intended to give you an instant insight into elasticmock implemented functionality, and help decide if they suit your requirements.
            • Get an Elasticsearch connection
            • Extract ignore parameters from params
            • Deletes a document from the index
            • Retrieves the results dictionary
            • Returns True if the given index exists otherwise returns False
            Get all kandi verified functions for this library.

            elasticmock Key Features

            No Key Features are available at this moment for elasticmock.

            elasticmock Examples and Code Snippets

            No Code Snippets are available at this moment for elasticmock.

            Community Discussions

            QUESTION

            Elasticsearch Nest unit tests with Moq : fail to mock concrete class
            Asked 2021-Jun-01 at 19:44

            I need to mock some methods and properties in Nest.IElasticClient interface that is used in my repo. As example I need to stub the Indices.Exists() method to return an ExistsResponse having an Exists property returning true.

            The problem is that the concrete class has no interface implementation, nor setter on the Exists property, and is not declared virtual neither in Nest lib:

            ...

            ANSWER

            Answered 2021-Jun-01 at 19:44

            It is usually not good to mock what you don't own but if you want to mock elastic client responses the best approach will be to use InMemorryConnection, you can instantiate a new elasticClient with InMemorryConnection like this:

            InMemorry Elastic Client:

            Source https://stackoverflow.com/questions/67790809

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

            Vulnerabilities

            No vulnerabilities reported

            Install elasticmock

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

            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 ElasticMock

          • CLONE
          • HTTPS

            https://github.com/vrcmarcos/elasticmock.git

          • CLI

            gh repo clone vrcmarcos/elasticmock

          • sshUrl

            git@github.com:vrcmarcos/elasticmock.git

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