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schedulix | schedulix enterprise job scheduling system | Job Scheduling library

 by   schedulix Java Version: Current License: AGPL-3.0

 by   schedulix Java Version: Current License: AGPL-3.0

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kandi X-RAY | schedulix Summary

schedulix is a Java library typically used in Data Processing, Job Scheduling applications. schedulix has no bugs, it has no vulnerabilities, it has a Strong Copyleft License and it has low support. However schedulix build file is not available. You can download it from GitLab, GitHub.
schedulix is an open source enterprise job scheduling system. Instructions for compilation and installation can be found in doc/installtion_en.pdf (English) or doc/installation.pdf (German). Documentation of the user interface can be found in doc/online_en.pdf (English) or doc/online_de.pdf (German). All the jflex issues are resolved. But please advise if anyone runs into jflex related problems. For those not so very interested in compiling the software themselves there are RPM packages available that can be installed on RHEL/CentOS 7 and 8. The repository information can be downloaded from https://www.independit.de/Downloads/schedulix-repo.rpm. To upgrade from an older version to the current version, some database schema changes have to be made. SQL scripts are found in the sql/*_gen directories.
Support
Support
Quality
Quality
Security
Security
License
License
Reuse
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kandi-support Support

  • schedulix has a low active ecosystem.
  • It has 92 star(s) with 24 fork(s). There are 24 watchers for this library.
  • It had no major release in the last 12 months.
  • There are 0 open issues and 13 have been closed. On average issues are closed in 94 days. There are no pull requests.
  • It has a neutral sentiment in the developer community.
  • The latest version of schedulix is current.
schedulix Support
Best in #Job Scheduling
Average in #Job Scheduling
schedulix Support
Best in #Job Scheduling
Average in #Job Scheduling

quality kandi Quality

  • schedulix has 0 bugs and 0 code smells.
schedulix Quality
Best in #Job Scheduling
Average in #Job Scheduling
schedulix Quality
Best in #Job Scheduling
Average in #Job Scheduling

securitySecurity

  • schedulix has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
  • schedulix code analysis shows 0 unresolved vulnerabilities.
  • There are 0 security hotspots that need review.
schedulix Security
Best in #Job Scheduling
Average in #Job Scheduling
schedulix Security
Best in #Job Scheduling
Average in #Job Scheduling

license License

  • schedulix is licensed under the AGPL-3.0 License. This license is Strong Copyleft.
  • Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.
schedulix License
Best in #Job Scheduling
Average in #Job Scheduling
schedulix License
Best in #Job Scheduling
Average in #Job Scheduling

buildReuse

  • schedulix releases are not available. You will need to build from source code and install.
  • schedulix 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 170641 lines of code, 10527 functions and 772 files.
  • It has high code complexity. Code complexity directly impacts maintainability of the code.
schedulix Reuse
Best in #Job Scheduling
Average in #Job Scheduling
schedulix Reuse
Best in #Job Scheduling
Average in #Job Scheduling
Top functions reviewed by kandi - BETA

kandi has reviewed schedulix and discovered the below as its top functions. This is intended to give you an instant insight into schedulix implemented functionality, and help decide if they suit your requirements.

  • Get the SDM execution entity
    • Get the special value for the special name
      • Renders a result job .
        • fill the vector
          • Test whether the SDMS dependencies are dependent .
            • Check the validity of the triggers .
              • Modify the status of a SDM subsystem .
                • Get the children
                  • Add or alter a child
                    • Check if this job is active .

                      Get all kandi verified functions for this library.

                      Get all kandi verified functions for this library.

                      schedulix Key Features

                      schedulix enterprise job scheduling system

                      schedulix Examples and Code Snippets

                      See all related Code Snippets

                      default

                      copy iconCopydownload iconDownload
                      The last stable branch is v2.10
                      It can be obtained by doing a
                      
                      git clone https://github.com/schedulix/schedulix.git -b v2.10

                      See all related Code Snippets

                      Community Discussions

                      Trending Discussions on Job Scheduling
                      • Plotly Express Timeline Gantt Chart, color coding based on column in dataframe
                      • Allow a requested multi-node job to run on a subset of nodes
                      • What does application's own process mean in android Job Scheduler
                      • Setting and passing string variable in SLURM job script
                      • slurm - use array and limit the number of jobs running at the same time until they finish
                      • Sidekiq perform_later enqueue after waiting time
                      • Array issue with endbefore start in CPLEX
                      • Transition matrix not included in my solution of my scheduling problem in CPLEX CP
                      • Including a distance matrix in a CP schedulling problem
                      • How do I implement a Scheduled Notification service?
                      Trending Discussions on Job Scheduling

                      QUESTION

                      Plotly Express Timeline Gantt Chart, color coding based on column in dataframe

                      Asked 2022-Mar-23 at 19:09

                      I'm trying to create a machine shop schedule that is color coded by parts that belong to the same assembly. I'm using plotly express timeline to create the Gantt. It is reading an excel file on my desktop to generate the schedule. I created a sample below. The goal is to have all the Chair parts be the same color, and all the Desk parts be the same color.

                      The excel sheet looks like this

                      Here's the code to read the excel file and create the Gantt:

                      df = pd.read_excel(r"C:\Users\john.doe\Documents\Machine Durations - Sample.xlsx")
                      
                      df['Start Shift'] = df['Start Shift'].astype(int)
                      df['Finish'] = df['Finish'].astype(int)
                      #display(df)
                      
                      # create a slice if the df for the rank = 1
                      dfRank1 = df[df.Rank == 1]
                      # reindex it 
                      dfRank1 = dfRank1.reset_index()
                      #display(dfRank1)
                      
                      #Create the visual 
                      
                      df["Part"] = df["Part"].astype(str)
                      df["delta"] = df["Finish"]-df["Start Shift"]
                      fig = px.timeline(df,x_start ="Start Shift", x_end = "Finish", y = "Machine", hover_name ="Part",color = "Part", text = "Part", title = "Machine Shop Cycle", opacity = .75)
                      fig.update_yaxes(autorange="reversed")
                      fig.layout.xaxis.type = 'linear'
                      #fig.data[0].x = df.delta.tolist()
                      for d in fig.data:
                          filt = df['Part'] == d.name
                          d.x = df[filt]['delta'].tolist()
                      
                      fig.update_traces(textposition='inside')    
                          
                      fig.show()
                      
                      
                      

                      Here's the output Gantt.

                      ANSWER

                      Answered 2022-Mar-23 at 19:09
                      • good practice is paste you data as text into a question
                      • have made two changes
                        1. put Assembly into hover_data so that it is in customdata of each trace
                        2. loop through traces to update marker_color based on Assembly in customdata
                      # update colors to that of the assembly
                      cmap = {"Chair":"red", "Desk":"blue"}
                      fig.for_each_trace(lambda t: t.update({"marker":{"color":[cmap[a] for a in t["customdata"][:,0]]}}))
                      
                      full code
                      import pandas as pd
                      import plotly.express as px
                      import io
                      
                      df = pd.read_csv(
                          io.StringIO(
                              """Part,Machine,Duration,Duration Shifts(6),Start Shift,Finish,Index,Assembly,Rank
                      Legs,Lathe,100,5,0,5,1,Chair,A
                      Seat,Mill,400,5,0,5,1,Chair,A
                      Back,Mill,200,3,5,8,1,Chair,A
                      Legs,Lathe,200,3,5,8,1,Desk,A
                      Table Top,Mill,200,3,8,11,1,Desk,A
                      Wheels,Mill-Turn,200,10,0,10,1,Desk,A"""
                          )
                      )
                      
                      df["Start Shift"] = df["Start Shift"].astype(int)
                      df["Finish"] = df["Finish"].astype(int)
                      # display(df)
                      
                      # create a slice if the df for the rank = 1
                      dfRank1 = df[df.Rank == 1]
                      # reindex it
                      dfRank1 = dfRank1.reset_index()
                      # display(dfRank1)
                      
                      # Create the visual
                      
                      df["Part"] = df["Part"].astype(str)
                      df["delta"] = df["Finish"] - df["Start Shift"]
                      fig = px.timeline(
                          df,
                          x_start="Start Shift",
                          x_end="Finish",
                          y="Machine",
                          hover_name="Part",
                          hover_data=["Assembly"], # want this for setting color
                          color="Part",
                          text="Part",
                          title="Machine Shop Cycle",
                          opacity=0.75,
                      )
                      fig.update_yaxes(autorange="reversed")
                      fig.layout.xaxis.type = "linear"
                      # fig.data[0].x = df.delta.tolist()
                      for d in fig.data:
                          filt = df["Part"] == d.name
                          d.x = df[filt]["delta"].tolist()
                      
                      fig.update_traces(textposition="inside")
                      
                      # update colors to that of the assembly
                      cmap = {"Chair":"red", "Desk":"blue"}
                      fig.for_each_trace(lambda t: t.update({"marker":{"color":[cmap[a] for a in t["customdata"][:,0]]}}))
                      
                      output

                      enter image description here

                      Source https://stackoverflow.com/questions/71578883

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

                      Vulnerabilities

                      No vulnerabilities reported

                      Install schedulix

                      You can download it from GitLab, GitHub.
                      You can use schedulix like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the schedulix component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .

                      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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