39 lines
1.6 KiB
Markdown
39 lines
1.6 KiB
Markdown
# dRStats
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## About
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Simple project to determine health of the devrant platform.
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Also, it will generate a dataset to be used with machine learning.
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Make Retoor9b great again!
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Generating these statistics takes quite some steps. Look at the build log under the `actions` tab.
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## Credits
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Thanks to Rohan Burke (coolq). The creator of the dr api wrapper this project uses. Since it isn't made like a package, i had to copy his source files to my source folder. His library: https://github.com/coolq1000/devrant-python-api/
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## Using this project
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### Prepare environment
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Create python3 environment:
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```
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python3 -m venv ./venv
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```
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Activate python3 environment:
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```
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source ./venv/bin/activate
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```
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### Make
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You don't have to use more than make. If you just run `make` all statistics will be generated. It will execute the right apps for generating statistics.
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### Applications
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If you type `dr.` in terminal and press tab you'll see all available apps auto completed. These applications are also used by make.
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```
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1. `dr.sync` synchronizes all data from last two weeks from devrant. Only two weeks because it's rate limited.
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2. `dr.dataset` exports all data to be used for LLM embedding., don't forget to execute `dr.sync` first.
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3. `dr.stats_all` exports all graphs to export folder, don't forget to execute `dr.sync` first.
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4. `dr.rant_stats_per_day` exports graphs to export folder. don't forget to execute `dr.sync` first.
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5. `dr.rant_stats_per_hour` exports graphs to export folder. don't forget to execute `dr.sync` first.
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6. `dr.rant_stats_per_weekday` exports graphs to export folder. don't forget to execute `dr.sync` first.
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