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43 lines
2.2 KiB
Markdown
43 lines
2.2 KiB
Markdown
# dashboard
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![screenshot](https://data.alemi.dev/dashboard.png)
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A data aggregating dashboard, capable of periodically fetching, parsing, archiving and plotting data.
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### Name
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Do you have a good name idea for this project? [Let me know](https://alemi.dev/suggestions/What%27s%20a%20good%20name%20for%20the%20project%3F)!
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## How it works
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This software periodically (customizable interval) makes a GET request to given URL, then applies all metric JQL queries to the JSON output, then inserts all extracted points into its underlying SQLite.
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Each panel displays all points gathered respecting limits, without redrawing until user interacts with UI or data changes.
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If no "x" query is specified, current time will be used (as timestamp) for each sample "x" coordinate, making this software especially useful for timeseries.
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## Usage
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This program will work on a database stored in `$HOME/.local/share/dashboard.db`. By default, nothing will be shown.
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To add sources or panels, toggle edit mode (top left). Once in edit mode you can:
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* Add panels (top bar)
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* Add sources (in source sidebar, bottom)
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* Edit panels (name, height, display options)
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* Edit sources (name, color, query, panel)
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Each change is effective as soon as you type it, but won't persist a restart if you don't "save" it. Just close and reopen if you mess something up!
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## Features
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* parse JSON apis with [JQL syntax](https://github.com/yamafaktory/jql)
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* embedded SQLite, no need for external database
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* import/export metrics data to/from CSV
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* split data from 1 fetch to many metrics
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* customize source color and name, toggle them (visibility or fetching)
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* customize panels (size, span, offset)
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* reduce data points with average or sampling
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* per-source query interval
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* light/dark mode
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* log panel endlessly tracking errors
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* tiny performance impact
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## Drawbacks
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* Log panel has no limit, thus very long runtimes will make it slower
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* Being monolithic, this project doesn't scale well with large data needs
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* Untested on Windows and MacOS
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* No limit on points displayed might slow down the UI, use the `reduce` feature
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* All fields are editable at the same time
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# Installation
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`cargo build --release`, then drop it in your `~/.local/bin`. Done, have fun hoarding data!
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