pyflow | A lightweight parallel task engine | BPM library

 by   Illumina Python Version: v1.1.20 License: No License

kandi X-RAY | pyflow Summary

kandi X-RAY | pyflow Summary

pyflow is a Python library typically used in Automation, BPM applications. pyflow has no bugs, it has no vulnerabilities and it has low support. However pyflow build file is not available. You can download it from GitHub.

[Build Status][tcistatus]][tcihome] [Build status][acistatus]][acihome]. pyFlow is a tool to manage tasks in the context of a task dependency graph. It has some similarities to make. pyFlow is not a program – it is a python module, and workflows are defined using pyFlow by writing regular python code with the pyFlow API. For more information, please see the [pyFlow website][site].
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            kandi-support Support

              pyflow has a low active ecosystem.
              It has 116 star(s) with 35 fork(s). There are 30 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 13 open issues and 10 have been closed. On average issues are closed in 8 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of pyflow is v1.1.20

            kandi-Quality Quality

              pyflow has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

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

            kandi-Reuse Reuse

              pyflow releases are available to install and integrate.
              pyflow 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.
              pyflow saves you 1896 person hours of effort in developing the same functionality from scratch.
              It has 4179 lines of code, 417 functions and 33 files.
              It has medium code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed pyflow and discovered the below as its top functions. This is intended to give you an instant insight into pyflow implemented functionality, and help decide if they suit your requirements.
            • Add workflow to CWL
            • Skip join between two strings
            • Convert from casava to fastq format
            • Configure Bcl to fastq
            • Start the workflow
            • Return the number of continuous tasks required to reach the given targetVal
            • Sum the continuous value
            • Get the sum of all values in the histogram
            • Transfer messages from inos
            • Flush the contents of the file
            • Write a message to the pipe
            • Convert a time stamp to a string
            • Read the task from the file
            • Add a value at a given position
            • Add tasks to the workflow
            • Adds an object to the heap
            • Create workflow
            • Ensure directory exists
            • Get a Params object from a pickle file
            • Flush the file
            • Logs msg to the task wrapper
            • Return a list of the exception message
            • Returns the number of records in the queue
            • Get the host name
            • Get options for the demo run
            • Return a list of elements from the queue
            Get all kandi verified functions for this library.

            pyflow Key Features

            No Key Features are available at this moment for pyflow.

            pyflow Examples and Code Snippets

            No Code Snippets are available at this moment for pyflow.

            Community Discussions

            QUESTION

            user table not created on django deployment but superuser created on heroku bash
            Asked 2022-Jan-18 at 21:06

            I'm trying to upload my first django app and I've been struggle with this issue for sometime, help is appreciated.

            I already set up my project to be on heroku, I followed this tutorial: https://www.youtube.com/watch?v=6DI_7Zja8Zc in which django_heroku module is used to configure DB, here is the link to library https://pypi.org/project/django-heroku/

            The app throws the error on login as if user tables didn't exist but I already create a super user using the heroku bash feature, after apply migrations using "heroku run python manage.py migrate". When I run "ls" command on heroku bash this is my directory:

            manage.py Procfile requirements.txt runtime.txt smoke staticfile

            "smoke" is my folder app, should I could see the db in this directory? if the db was not created how could I create a superuser using heroku bash feature?

            This is the DB configuration that django gives me on server:

            ...

            ANSWER

            Answered 2022-Jan-18 at 21:06

            If you look at the django-heroku repository on GitHub I think you'll find that it has been abandoned. It has a banner saying

            This repository has been archived by the owner. It is now read-only.

            and has not had a new commit on the master branch since October, 2018.

            The heroku-on-django library aims to be an updated replacement for django-heroku:

            This has been forked from django-heroku because it was abandoned and then renamed to django-on-heroku because old project has been archived.

            It is also somewhat stagnant (the most recent commit to master at the time of writing is from October, 2020) but it should work better than django-heroku.

            In either case, make sure to put this at the bottom of your settings.py as indicated in the documentation:

            Source https://stackoverflow.com/questions/70761811

            QUESTION

            Invalid Syntax when I use python-shell-send-buffer in Emacs Python-mode
            Asked 2021-Sep-01 at 11:26

            Recently, I'm trying to configure emacs as my python IDE and I use anaconda in my computor. I have use conda package and python-mode in emacs in the init.el as following:

            ...

            ANSWER

            Answered 2021-Sep-01 at 11:26

            The proper way to use python-shell-send-buffer is to run it from a buffer of Python code; Emacs will then send the contents of that buffer to the Python REPL you started with run-python.

            Don't run this command in the run-python buffer (*Python*) itself; it doesn't make any sense to submit that buffer's contents to Python as code.

            To quickly demonstrate how this works,

            • Create a buffer demo.py and type some Python code into it.

            Source https://stackoverflow.com/questions/69012435

            QUESTION

            Git file problem when migrating in Django
            Asked 2021-Apr-21 at 23:41

            I have the following structure in my Django project

            The gitignore is the one suggested by https://www.toptal.com/developers/gitignore/api/django

            The steps to initialize GIT were: Create the project with apps/A and apps/B, create the .gitignore file and run git init.

            Then I ran makemigrations and migrate

            The problem occurs when, starting from master, a new branch called Z is created with an apps/ZApp, a new model is created and makemigrations and migrate are executed from that branch. Thus:

            ...

            ANSWER

            Answered 2021-Apr-21 at 23:41

            This is expected behavior. Git isn't doing anything at all to files it ignores. That means if .pyc files are created while you have one branch open, then you switch to another branch, nothing will happen to the .pyc files, because all you've done is switch git branches, and those files are ignored by git.

            If you like, you can add a post-checkout hook that deletes all pycache directories and .pyc files each time you check out a branch.

            Source https://stackoverflow.com/questions/67203083

            QUESTION

            __pycache__ merge conflicts not resolved by gitignore
            Asked 2020-Oct-23 at 06:22

            I am trying to merge a development branch back into the master. I have run git rm '*.pyc' in both files and this is my gitignore (copied from here):

            ...

            ANSWER

            Answered 2020-Oct-23 at 06:22

            First, note that .gitignore content itself never has any direct effect on a merge. That is because git merge merges the contents of commits, which are already committed and cannot be changed. They have the files that they have. No power on Earth, or anywhere else, can change them. Your git merge is merging some existing commits, in preparation for making a new commit.

            I have run git rm '*.pyc' in both files ...

            Do you mean "in both commits"? "In both files" makes little sense here.

            I don't recall renaming or deleting any venv/lib/* files.

            If venv/lib contained *.pyc files, and you ran the above git rm, you would remove those *.pyc files from both your work-tree and Git's index. Once the files are out of Git's index, then the existing *.pyc entry in an existing .gitignore can take effect, preventing future *.pyc files from entering Git's index via your work-tree. A subsequent commit would then lack those *.pyc files.

            I'll just look at the first conflict here, and split up long lines for posting purposes only:

            Source https://stackoverflow.com/questions/64493592

            QUESTION

            Git db.sqlite and wsgi.py file keep reverting on pull
            Asked 2020-Oct-14 at 14:01

            I have a python/django/wagtail project that I built locally using db.sqlite3. I did an initial push with everything to github, and then pulled it to my server. I made a change to the wsgi file and did some work in the cms which updated the database.

            I made some changes locally. I changed my .gitignore to exclude db.sqlite3 and wsgi.py. git add ., git commit, git push origin master. then, on the server, sudo git pull origin master. db.sqlite3 reverts back to before I made the cms changes and the wsgi.py reverts back to pointing to my dev settings.

            I made the changes back to the cms but now I need to do another update when I have made even more cms changes and I do not want to overwrite the database again. wsgi.py is a small fix but still. My .gitignore

            ...

            ANSWER

            Answered 2020-Oct-14 at 14:01

            Adding a line to .gitignore does not stop that file from being tracked by git - it just means that changes to it won't show up in git status / git diff and similar. To remove it from git, you need to run git rm name-of-file . However, this will also delete the actual file, so to avoid losing data, the best approach is:

            • make a copy of db.sqlite3
            • git rm db.sqlite3
            • move your copy of the file back to the original filename
            • commit the change to git

            Then, on your live server:

            • make a copy of db.sqlite3
            • git pull
            • move your copy of the file back to the original filename

            Source https://stackoverflow.com/questions/64311390

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

            Vulnerabilities

            No vulnerabilities reported

            Install pyflow

            You can download it from GitHub.
            You can use pyflow 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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