cpu_monitor | ROS node that publishes all nodes ' CPU and memory usage

 by   alspitz Python Version: v0.1.0 License: MIT

kandi X-RAY | cpu_monitor Summary

kandi X-RAY | cpu_monitor Summary

cpu_monitor is a Python library typically used in Utilities, Nodejs applications. cpu_monitor has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However cpu_monitor build file is not available. You can download it from GitHub.

monitor.py is a ROS node that will ask the ROS master for a list of nodes and publish their CPU and memory usage as ROS topics. It will also publish the total system CPU and memory usage. Only nodes running on the same machine will have their CPU and memory usage published.
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              cpu_monitor has a low active ecosystem.
              It has 68 star(s) with 44 fork(s). There are 1 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 2 open issues and 2 have been closed. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of cpu_monitor is v0.1.0

            kandi-Quality Quality

              cpu_monitor has 0 bugs and 2 code smells.

            kandi-Security Security

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

            kandi-License License

              cpu_monitor 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

              cpu_monitor releases are available to install and integrate.
              cpu_monitor 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 90 lines of code, 4 functions and 2 files.
              It has high code complexity. Code complexity directly impacts maintainability of the code.

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            cpu_monitor Key Features

            No Key Features are available at this moment for cpu_monitor.

            cpu_monitor Examples and Code Snippets

            No Code Snippets are available at this moment for cpu_monitor.

            Community Discussions

            Trending Discussions on cpu_monitor

            QUESTION

            Django data not being inserted into postgresql
            Asked 2020-Sep-04 at 00:55

            This codes gets the system performance reading using flask and plots it on a Django webpage using Chart which refreshes every second. I am trying to store the data into postgresql however it is not working. No data is being inserted into the table that was created in the database.

            views.py

            ...

            ANSWER

            Answered 2020-Sep-04 at 00:55

            Get clarity about the data type of each function. A view function returns data of type HttpResponse. You should change your data functions so that each returns data of the required type, not return a HttpResponse. For example the mm function should return memory data, which in your Model is a CharField (it is text with a limit of 200 chars). Make sure it returns text and not a Python list, not json, and not a HttpResponse.

            Then call one view function, which will collect (from all the data functions) and save it before returning its HttpResponse. For example:

            Source https://stackoverflow.com/questions/63717187

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

            Vulnerabilities

            No vulnerabilities reported

            Install cpu_monitor

            You can download it from GitHub.
            You can use cpu_monitor 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

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            https://github.com/alspitz/cpu_monitor.git

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            gh repo clone alspitz/cpu_monitor

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            git@github.com:alspitz/cpu_monitor.git

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