ifc-pipeline | Processing queue and front-end for visualizing BIM models | Continuous Deployment library

 by   AECgeeks Python Version: 0.0.9 License: MIT

kandi X-RAY | ifc-pipeline Summary

kandi X-RAY | ifc-pipeline Summary

ifc-pipeline is a Python library typically used in Devops, Continuous Deployment, MongoDB, Docker applications. ifc-pipeline has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However ifc-pipeline build file is not available. You can download it from GitHub.

Processing queue and front-end for visualizing BIM models with IfcOpenShell, Docker Compose and Flask
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            kandi-support Support

              ifc-pipeline has a low active ecosystem.
              It has 125 star(s) with 39 fork(s). There are 12 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 6 open issues and 9 have been closed. On average issues are closed in 6 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of ifc-pipeline is 0.0.9

            kandi-Quality Quality

              ifc-pipeline has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              ifc-pipeline 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

              ifc-pipeline releases are not available. You will need to build from source code and install.
              ifc-pipeline has no build file. You will be need to create the build yourself to build the component from source.
              Installation instructions are not available. Examples and code snippets are available.
              It has 1705 lines of code, 51 functions and 21 files.
              It has medium code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed ifc-pipeline and discovered the below as its top functions. This is intended to give you an instant insight into ifc-pipeline implemented functionality, and help decide if they suit your requirements.
            • Upload files
            • Process multiple files
            • Process the given ID
            • Start a process
            • Convert to dict
            • Shorten a namespace
            • Try to call a function
            • Generate SVG file
            • Set model progress
            • Get a gzipped model
            • Validate id
            • Generate geom file
            • Get a log
            • Get progress
            • View for a viewer
            • Process an uploaded file
            • Run all tasks
            • View
            Get all kandi verified functions for this library.

            ifc-pipeline Key Features

            No Key Features are available at this moment for ifc-pipeline.

            ifc-pipeline Examples and Code Snippets

            Double sort operation .
            pythondot img1Lines of Code : 34dot img1License : Permissive (MIT License)
            copy iconCopy
            def double_sort(lst):
                """This sorting algorithm sorts an array using the principle of bubble sort,
                but does it both from left to right and right to left.
                Hence, it's called "Double sort"
                :param collection: mutable ordered sequence of   
            Prints out the sorting algorithm
            javadot img2Lines of Code : 31dot img2License : Permissive (MIT License)
            copy iconCopy
            public static void main(String[] args) {
                    // Integer Input
                    List unsortedInts
                            = Stream.of(4, 23, 6, 78, 1, 54, 23, 1, 9, 231, 9, 12).collect(toList());
                    CountingSort countingSort = new CountingSort();
            
                    Sys  

            Community Discussions

            QUESTION

            Autodesk Forge - how to use the new Model Derivative IFC pipeline?
            Asked 2019-Apr-30 at 14:15

            I'm working with autodesk forge, because I have a project for the University, but I have a small problem now.

            I read that the IFC Model Derivative processor is currently based on the Navisworks importer, but a better implementation is using Revit instead. As I work mostly with IFC Files this could make a big difference.

            I made a small application with the help of the forge-apis npm package, which enables me to easily integrate the Forge APIs.

            The Problem is that I don't see an option to use the new Model Derivative IFC pipeline. Is there a way to implement it in my application?

            ...

            ANSWER

            Answered 2019-Apr-30 at 14:15

            As this point, you'll need to make requests (e.g. using request package). When we completely move to Revit pipeline you can resume with the forge-api package.

            Source https://stackoverflow.com/questions/55904789

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

            Vulnerabilities

            No vulnerabilities reported

            Install ifc-pipeline

            You can download it from GitHub.
            You can use ifc-pipeline 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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          • HTTPS

            https://github.com/AECgeeks/ifc-pipeline.git

          • CLI

            gh repo clone AECgeeks/ifc-pipeline

          • sshUrl

            git@github.com:AECgeeks/ifc-pipeline.git

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