piperider | Code review for data in dbt | Dashboard library

 by   InfuseAI Python Version: 0.41.0rc1 License: Apache-2.0

kandi X-RAY | piperider Summary

kandi X-RAY | piperider Summary

piperider is a Python library typically used in Analytics, Dashboard applications. piperider has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install piperider' or download it from GitHub, PyPI.

PipeRider automatically compares your data to highlight the difference in impacted downstream dbt models so you can merge your Pull Requests with confidence.
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            kandi-support Support

              piperider has a low active ecosystem.
              It has 355 star(s) with 12 fork(s). There are 13 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 16 open issues and 44 have been closed. On average issues are closed in 71 days. There are 2 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of piperider is 0.41.0rc1

            kandi-Quality Quality

              piperider has no bugs reported.

            kandi-Security Security

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

            kandi-License License

              piperider is licensed under the Apache-2.0 License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              piperider releases are available to install and integrate.
              Deployable package is available in PyPI.
              Build file is available. You can build the component from source.
              Installation instructions, examples and code snippets are available.

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            piperider Key Features

            No Key Features are available at this moment for piperider.

            piperider Examples and Code Snippets

            No Code Snippets are available at this moment for piperider.

            Community Discussions

            QUESTION

            Microk8s dashboard using nginx-ingress via http not working (Error: `no matches for kind "Ingress" in version "extensions/v1beta1"`)
            Asked 2022-Apr-01 at 07:26

            I have microk8s v1.22.2 running on Ubuntu 20.04.3 LTS.

            Output from /etc/hosts:

            ...

            ANSWER

            Answered 2021-Oct-10 at 18:29
            error: unable to recognize "ingress.yaml": no matches for kind "Ingress" in version "extensions/v1beta1"
            

            Source https://stackoverflow.com/questions/69517855

            QUESTION

            How to automatically change label color depending on relative values (maximum/minimum)?
            Asked 2022-Feb-07 at 14:38

            In order to make a dynamic visualization, for example in a dashboard, I want to display the label colors (percentages or totals) depending on their real values in black or white.

            As you can see from my reprex below, I changed the color of the label with the highest percentage manually to black, in order gain a better visability.

            Is there a was, to automatically implement the label color? The label with the highest percentage corresponding should always be black, if data is changing over time.

            ...

            ANSWER

            Answered 2022-Feb-07 at 14:28

            you can set the colors using replace(rep('white', nrow(df)), which.max(df$perc), 'black').

            Source https://stackoverflow.com/questions/71019944

            QUESTION

            ModuleNotFoundError: No module named 'dash.dash_table'
            Asked 2022-Feb-06 at 15:18

            I am trying to run a simple code like this:

            ...

            ANSWER

            Answered 2022-Feb-06 at 15:18

            It looks like you have incompatible versions of dash and dash_table, with recent versions of Dash, when you install the dash package it also installs other packages including dash_table. Could you maybe uninstall dash_table and dash, reinstall dash, and see if it works?

            Source https://stackoverflow.com/questions/71008503

            QUESTION

            Field 'recordName' is not marked queryable - cloudkit dashboard
            Asked 2022-Jan-07 at 03:51

            In Cloudkit Dashboard, I select Record Type, Edit Indexes, then I select Add Basic Index. I see in the dropdown createTime, createdBy, eTag, modTime, modifiedBy, recordID and the record fields. I do not see recordName in the dropdown( Attached screenshot). Without creating index on recordName, I cannot query the record in cloudKit Dashboard. I get error: Field 'recordName' is not marked queryable How to create index on recordName?

            ...

            ANSWER

            Answered 2021-Oct-25 at 17:18

            I ran into this same issue and solved it by adding ___recordID as a queryable index. When it is added to the list of indexes, the field changes to recordName.

            To add this as a queryable index, go to the Schema Section -> Indexes, and click Add Basic Index.

            Source https://stackoverflow.com/questions/69610184

            QUESTION

            Dashboard stopped working after I added a second user input
            Asked 2021-Dec-24 at 05:09

            I am trying my hand at creating a dashboard. I have a public airline data to work with. I need my dashboard to show a bar plot for the number of flights per month for an entered year and an entered airline. Somehow it worked with only one input for a year, but it does not work with two inputs. What am I doing wrong here? Thanks in advance.

            ...

            ANSWER

            Answered 2021-Dec-24 at 05:09

            When I run the dashboard, I get the following error:

            Source https://stackoverflow.com/questions/70468032

            QUESTION

            Another dash/plotly dilemma
            Asked 2021-Dec-23 at 22:18

            I hate to keep posting about dash\plotly but I cant understand what is going wrong here. I have copied and pasted from the plotly site the code in order to display a pie chart with a drop down menu. When I create the dashboard there is a dropdown menu that shows all the categories but there is no pie chart to be seen. Please help me to understand what is going wrong. Code below:

            ...

            ANSWER

            Answered 2021-Dec-23 at 22:18

            I think the main issues with your code were that your generate_chart function had two arguments, but the @app.callback decorator had only one input argument, and that for the values argument in px.pie, you need to pass a column name whose values can be summed together. One issue with using px.pie in this case is that if you sum the values in the 'class' column, the 0s for success will always sum to 0.

            Since you explained in your comment that what you really want to display in your pie chart is the count of successes and failures (which are 0s and 1s in the 'class' column), I thought it would be easiest to sum up the number of 0s and 1s for the particular 'Site', and pass the arguments labels=['success','failure'] and values=[success_count, failure_count] to go.Pie.

            Source https://stackoverflow.com/questions/70453867

            QUESTION

            Callback error on plotly dash dashboard when trying to add a dropdown to show pie charts
            Asked 2021-Dec-16 at 06:43

            I'm quite new to dash but I'm trying to put together a data dashboard. Of the things I want to have is a drop down, that based on the input, renders 1 of two pie charts. The logic to structure the pie chart is included in my callback function. It is saying it is expecting 1 output but it had two. I've had a look online and tried different suggestions. I think I'm pretty close to getting this to work, there is just something dumb I'm not doing.

            I know people here are wizards, so I was hoping someone might be able to help me. Also if anyone is Dash savvy, can you point me in the direction of good documentation to learn how to orient this, so I can change the layout to make these plots fit better together in a dashboard, rather than just a web page?

            So much love

            Thanks

            ...

            ANSWER

            Answered 2021-Dec-16 at 06:43

            The first problem is that your callback has one output, but you return a tuple of two things. So you could add an Output that targets the element which you want to have the value of content, I'm guessing that element is the element with id output_container. The other option is to remove content from the return statement.

            The second problem is that you have the Output surrounded by a list, so dash expects the return value to be a list containing one value. You can remove the list surrounding your Ouput so it expects a tuple

            Source https://stackoverflow.com/questions/70373415

            QUESTION

            Making a dashboard that shows list of ip's with latency
            Asked 2021-Dec-15 at 22:18

            I am trying to make a page in PHP and HTML that pings a list of IP's in a file called ips.txt and returns it to a nic HTML / PHP page where I show said data in the following format

            ...

            ANSWER

            Answered 2021-Dec-15 at 22:18

            QUESTION

            Kubernetes Dashboard - Internal error (500): Not enough data to create auth info structure
            Asked 2021-Dec-09 at 23:49

            I have Kubernetes with ClusterRoles defined for my users and permissions by (RoleBindings) namespaces. I want these users could be accessed into the Kubernetes Dashboard with custom perms. However, when they try to log in when using kubeconfig option that's got this message:

            ...

            ANSWER

            Answered 2021-Dec-09 at 23:49

            Update SOLVED:

            You have to do this:

            1. Create ServiceAccount per user

            Source https://stackoverflow.com/questions/70287656

            QUESTION

            ImportError: cannot import name 'dcc' from partially initialized module 'dash' - python
            Asked 2021-Dec-03 at 08:00

            I'm very new to python/dash/plotly and I keep getting the same error:

            ImportError: cannot import name 'dcc' from partially initialized module 'dash' (most likely due to a circular import)

            Does anyone know how to fix this? I've imported the following:

            ...

            ANSWER

            Answered 2021-Dec-03 at 08:00

            "most likely due to a circular import": this is probably due to your file being named as a dash or as a module name.

            But I got the error message

            ImportError: cannot import name 'dcc' from 'dash'

            For me reinstalling dash fixed the issue.

            1. pip3 uninstall dash
            2. pip3 install dash

            Source https://stackoverflow.com/questions/69876843

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

            Vulnerabilities

            No vulnerabilities reported

            Install piperider

            PipeRider supports the following data connectors. Initialize PipeRider: Go to your dbt project, and initialize PipeRider. Run PipeRider: Collect profiling statistics by using. Compare your changes: You then can compare the branch of your new Pull Request against the main branch and explore the impact of your changes by opening the generated HTML comparison report. Post the markdown summary on the PR: You can post the markdown summary of the data changes to your Pull Request comment, so that your reviewer can merge with confidence.
            Install PipeRider pip install piperider[<connector>] PipeRider supports the following data connectors connectors install snowflake pip install 'piperider[snowflake]' postgres pip install 'piperider[postgres]' bigquery pip install 'piperider[bigquery]' redshift pip install 'piperider[redshift]' parquet pip install 'piperider[parquet]' csv pip install 'piperider[csv]' duckdb pip install 'piperider[duckdb]'
            Initialize PipeRider: Go to your dbt project, and initialize PipeRider. piperider init
            Run PipeRider: Collect profiling statistics by using dbt build piperider run
            Compare your changes: You then can compare the branch of your new Pull Request against the main branch and explore the impact of your changes by opening the generated HTML comparison report git switch feature/pr-branch dbt build piperider run piperider compare-reports --last
            Post the markdown summary on the PR: You can post the markdown summary of the data changes to your Pull Request comment, so that your reviewer can merge with confidence.

            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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            Install
          • PyPI

            pip install piperider

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            https://github.com/InfuseAI/piperider.git

          • CLI

            gh repo clone InfuseAI/piperider

          • sshUrl

            git@github.com:InfuseAI/piperider.git

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