Task Manager Automation Tool (TMAT) CLI
Command Line (CLI) Application to automate creation of tasks in Redmine, issues on Github and the sync process of them.
Command Line (CLI) Application to automate creation of tasks in Redmine, issues on Github and the sync process of them.
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ABOUT A command-line based, minimal torrent streaming client made using Python and Webtorrent-cli. Installation pip install -r requirements.txt It use
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Devs usually register their times in some place first, and then add it to Redmine. For example: add the activity and the spended time into a spreadsheet, and then, transfer it to the Redmine. But it is boring add it to Redmine, and the more tasks you have queued, less you want to do it.
In order to solve this, there should be a command to read the time entries from a csv (at first) and log it into the respective issue on Redmine.
Throught the Redmine REST API its possible to add time entries and update de percentage of an issue, and the required info to do it (besides the project url) are: issue ID, date, spended time (in hours), a comment and the done ratio (percentage) of the issue after that hours of work. The issue ID is pretty anoiyng to use, but ir should be avaliable, as well the issue name, issue prefix and the issue url. So, an example of spreadsheet with those informations is:
| Issue | Comment | Spended Time | Date | Done Ratio | | :------: | :------------: | :-------------------: | :------: | :--------------: | | Gr-S01-T42 | Comment about what was done during this time | 2 | 2021-11-10 | 30 | | 10000 | Comment about what was done during this time | 4 | 2021-11-10 | 50 |
The first issue was referred using it's prefix, and the second using its ID.
It would generate the following CSV:
Issue,Comment,Spended Time,Date,Done Ratio
Gr-S01-T42,Comment about what was done during this time,2,2021-11-10,30
10000,Comment about what was done during this time,4,2021-11-10,50
So, it would be easy to fetch the ID of the issue based on the first field and send the time entries to it.
enhancementA command-line based, minimal torrent streaming client made using Python and Webtorrent-cli. Installation pip install -r requirements.txt It use
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