spin-dcd-converter | help convert Spinnaker JSON pipelines to DCD pipelines

 by   robzienert Python Version: Current License: Apache-2.0

kandi X-RAY | spin-dcd-converter Summary

kandi X-RAY | spin-dcd-converter Summary

spin-dcd-converter is a Python library. spin-dcd-converter has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

Tool to help convert Spinnaker JSON pipelines to DCD pipelines
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            kandi-support Support

              spin-dcd-converter has a low active ecosystem.
              It has 16 star(s) with 7 fork(s). There are 1 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 2 open issues and 0 have been closed. On average issues are closed in 1125 days. There are 4 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of spin-dcd-converter is current.

            kandi-Quality Quality

              spin-dcd-converter has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              spin-dcd-converter is licensed under the Apache-2.0 License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              spin-dcd-converter releases are not available. You will need to build from source code and install.
              Build file is available. You can build the component from source.
              Installation instructions are not available. Examples and code snippets are available.
              spin-dcd-converter saves you 50 person hours of effort in developing the same functionality from scratch.
              It has 133 lines of code, 12 functions and 1 files.
              It has medium code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed spin-dcd-converter and discovered the below as its top functions. This is intended to give you an instant insight into spin-dcd-converter implemented functionality, and help decide if they suit your requirements.
            • Convert a pipeline config into a dict
            • Convert stages to OrderedDict
            • Convert a list of notifications to a list
            • Convert triggers to namedtuple
            • Return a copy of a stage config
            • Get the stage id of a given ref_id
            • Create a fully - qualified stage id
            • Render a pipeline template
            • Get pipeline configuration
            • Argument parser
            Get all kandi verified functions for this library.

            spin-dcd-converter Key Features

            No Key Features are available at this moment for spin-dcd-converter.

            spin-dcd-converter Examples and Code Snippets

            No Code Snippets are available at this moment for spin-dcd-converter.

            Community Discussions

            No Community Discussions are available at this moment for spin-dcd-converter.Refer to stack overflow page for discussions.

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

            Vulnerabilities

            No vulnerabilities reported

            Install spin-dcd-converter

            You can download it from GitHub.
            You can use spin-dcd-converter 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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            CLONE
          • HTTPS

            https://github.com/robzienert/spin-dcd-converter.git

          • CLI

            gh repo clone robzienert/spin-dcd-converter

          • sshUrl

            git@github.com:robzienert/spin-dcd-converter.git

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