oceanus | Send event data to Google BigQuery | GCP library

 by   uyamazak Python Version: Current License: MIT

kandi X-RAY | oceanus Summary

kandi X-RAY | oceanus Summary

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

Send event data to Google BigQuery and redis pub/sub using HTTP beacons simply
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            kandi-support Support

              oceanus has a low active ecosystem.
              It has 8 star(s) with 0 fork(s). There are 1 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 0 open issues and 3 have been closed. On average issues are closed in 115 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of oceanus is current.

            kandi-Quality Quality

              oceanus has no bugs reported.

            kandi-Security Security

              oceanus has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              oceanus 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

              oceanus releases are not available. You will need to build from source code and install.
              oceanus has no build file. You will be need to create the build yourself to build the component from source.

            Top functions reviewed by kandi - BETA

            kandi has reviewed oceanus and discovered the below as its top functions. This is intended to give you an instant insight into oceanus implemented functionality, and help decide if they suit your requirements.
            • Handles GET requests
            • Return device device name
            • Return the default site name
            • Clean the json data
            • Event loop
            • Check if key is already registered
            • Returns True if task_id is already registered
            • Check if an IP address is allowed by an IP address
            • Process bulk sites
            • Restore lines to redis
            • Clean up the contents of the job
            • Handle POST request
            • Cleans up user data
            • Handle GET request
            • Adjust user data
            • Lists the names of all subscribed subscriptions
            • Clean up memory
            • Sends an email to the task
            • Signal handler for exit_function
            • Handle GET requests
            • Send data to Google Spreadsheet
            • Get installed hooks
            • Send user history
            • Creates a logger
            • Create the table for the site
            • Apply hooks to message
            Get all kandi verified functions for this library.

            oceanus Key Features

            No Key Features are available at this moment for oceanus.

            oceanus Examples and Code Snippets

            No Code Snippets are available at this moment for oceanus.

            Community Discussions

            QUESTION

            d3.js multiple relationship visual / linkHorizontal() / tangled tree
            Asked 2020-Nov-05 at 03:58

            I am trying to mimic a visual that depicts multiple relationships by time period, like this (time period = generation):

            However, my efforts have not panned out thus far; I'm still getting blank output in the browser. Hard coded data and code in the snippet:

            ...

            ANSWER

            Answered 2020-Oct-22 at 09:30

            I think a lot of what you did, specifically around data wrangling, was not necessary, especially since you called d3.hierarchy() and d3.cluster() afterwards. I've replaced this with d3.stratify (which deals with hierarchical data that is not yet in the right format).

            I've also replaced d3.cluster with d3.tree() because it was unclear to me why you'd want to use d3.cluster here. Your data has multiple parents, multiple roots and even floating nodes, and d3 is not meant to deal with that. My workaround has been to attach pseudonodes to every level, so as to make sure that there is only one node and that all nodes are at the right level at all times. To make sure the links were drawn correctly, I've written a custom getLinks function, that can deal with multiple parents.

            I've also written a custom link generator that draws the links somewhat in the way that you want them. d3 doesn't offer much of flexibility here, but you can use the source code for inspiration.

            Edit

            I've changed the logic to be more focused on which "partners" got a child, so both links to the same child are on the same level - like in your picture. I've also drawn the nodes based on how many partners they have, and have given every link an offset so the lines are more distinct.

            I've sorted the nodes so that the real pro-creators are at the top (Zeus), which gives a more balanced and less crowded view.

            Source https://stackoverflow.com/questions/64423115

            QUESTION

            Aggregation Binding: How to Put Different Control with Different Aggregation Binding inside the Control which Already Has Aggregation Binding
            Asked 2018-Jan-02 at 16:44

            I have the following data in my model:

            ...

            ANSWER

            Answered 2018-Jan-02 at 16:44

            Here is a working example:

            Source https://stackoverflow.com/questions/48007905

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

            Vulnerabilities

            No vulnerabilities reported

            Install oceanus

            You can download it from GitHub.
            You can use oceanus 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 .
            Find more information at:

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            CLONE
          • HTTPS

            https://github.com/uyamazak/oceanus.git

          • CLI

            gh repo clone uyamazak/oceanus

          • sshUrl

            git@github.com:uyamazak/oceanus.git

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