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---
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title: Qbitmaid
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date: '2024-11-3'
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lastmod: '2024-11-14'
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tags: ['python', 'projects', 'code']
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draft: true
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lastmod: '2025-1-28'
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tags: ['python', 'projects', 'code', 'docker', 'unraid']
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draft: false
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summary: How I used python to keep my torrents in check
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layout: PostBanner
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images: ['https://s3.jonb.io/cdn/projects/qbitmaid.jpg']
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---
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### qbit-maid
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Development [^1] of qbitmaid was over the course of several months. At first, the project was called qbit-clean and didn't have all the features the project has now. The issue was mainly with my download cache in unraid being filled with torrents I no longer needed to seed[^2]. When I would get a notification from the server that the download cache was 95% full I would have to manually go to [qbittorrent](https://www.qbittorrent.org/), sort the torrents by age and remove the ones older than two weeks avoiding torrents I wanted to keep.
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[](https://www.qbittorrent.org/)
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This was tedious. Very tedious. So I went off to do more work just to avoid a little.
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This was tedious. Very tedious. So I went off to do more work just to avoid a little.`qbitmaid.py` is the main file that glues the project together. This was my first project where I heavily abstracted the design. More on this later. First, we'll connect to the API. I used an existing client [library](https://pypi.org/project/qbittorrent-api/2022.5.32/) that makes this process simpler than writing your own client.
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`qbitmaid.py`[^3]
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```python
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...
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class Qbt:
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@@ -31,38 +33,157 @@ class Qbt:
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except qbittorrentapi.APIError as e:
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self.tl.exception(e)
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self.po.send_message(e, title="qbit-maid API ERROR")
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# Pulling all torrent data
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self.torrent_list = self.qbt_client.torrents_info()
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#Main process block
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if self.use_log:
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list_qbit_api_info(self)
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list_first_tor(self)
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debug_torrent_list(self)
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build_tor_list(self)
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process_counts(self)
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if self.use_log:
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torrent_count(self)
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tor_processor(self)
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if self.use_log:
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print_processor(self)
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if self.delete_torrents:
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tor_delete(self)
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self.et = datetime.datetime.now()
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get_script_runtime(self)
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if self.use_pushover:
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tor_notify_summary(self)
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if self.use_apprise:
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tor_notify_apprise(self, r, apprise_notify)
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if self.use_healthcheck:
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send_ping(self, r, self.healthcheck_url)
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# Run
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if __name__== "__main__":
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Qbt()
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...
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```
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This is the main file that glues the project together. This was my first project where I heavily
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Then we use the api to make an list of the torrents:
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```python
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# Pulling all torrent data
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self.torrent_list = self.qbt_client.torrents_info()
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```
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Next, we "sift" out torrents to be deleted. This was created with a positive sieve meaning we specify positive scenarios. In other words, I know which torrents I want to keep as opposed to the torrents I don't want. Theres pros and cons to both scenarios however in the long term a positive sieve is less work.
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> `qlist.py` has functions at the bottom of the file that are referenced in the conditions. This very method of programming made it easy to write unit tests as I went.
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```python
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if is_preme(torrent['seeding_time'], self.min_age):
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continue
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```
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```python
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def is_preme(seeding_time, minage):
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if seeding_time <= minage:
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return True
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```
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When it comes across an item that meets certain criteria it will skip it. For instance, the example above checks to see if it's too soon to remove a torrent. This is because some [trackers][private tracker] require a minimum seed time. If you were to remove a torrent sooner than they require, it could lead to getting kicked.
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`qlist.py` Has a couple jobs:
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- Tag torrents according to how they should be treated.
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- Sort
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`qlist.py`
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```python
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...
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def build_tor_list(self):
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while self.torrent_list:
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...
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if is_tracker_blank(torrent['tracker']):
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...
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continue
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elif is_cat_ignored(torrent['category'], self.cat_whitelist.values()):
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...
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continue
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elif is_ignored_tag(self.ignored_tags.values(),torrent['tags']):
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...
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continue
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if is_tag_blank(torrent['tags']):
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...
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if is_protected_tracker(torrent['tracker'], self.tracker_whitelist.values()):
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self.qbt_client.torrents_add_tags(self.tracker_protected_tag,torrent['hash'])
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elif is_not_protected_tracker(torrent['tracker'], self.tracker_whitelist.values()):
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self.qbt_client.torrents_add_tags(self.tracker_non_protected_tag,torrent['hash'])
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if is_preme(torrent['seeding_time'], self.min_age):
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continue
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elif is_protected_tracker(torrent['tracker'], self.tracker_whitelist.values()):
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if is_tag_blank(torrent['tags']):
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self.qbt_client.torrents_add_tags(self.tracker_protected_tag,torrent['hash'])
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...
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self.tracker_list.append(torrent)
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elif is_not_protected_tracker(torrent['tracker'], self.tracker_whitelist.values()):
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if is_tag_blank(torrent['tags']):
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self.qbt_client.torrents_add_tags(self.tracker_non_protected_tag,torrent['hash'])
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...
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self.tracker_list.append(torrent)
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```
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In this case the items I want to keep stays. `qlist.py` passes the data over to `qprocess.py`. This is done through about 2 layers of abstraction. Unfortunatley, this type of programming makes it difficult to follow.
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`qprocess.py` has four jobs:
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- Collect telemetry
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- Delete torrents if needed
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- Enable debugging if needed
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`qprocess.py`
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```python
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def tor_processor(self):
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"""Main logic to sort through both self.tracker_nonprotected_list and self.tracker_protected_list
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If torrent meets criteria for deletion, its infohash_v1 will be appended to self.torrent_hash_delete_list
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"""
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for canidate in self.tracker_list:
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if self.enable_telemetry:
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header = ['state','ratio','tags','added','hash','name','tracker']
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row = [canidate['state'],canidate['ratio'],canidate["tags"],canidate['added_on'],canidate['infohash_v1'],canidate["name"][0:20],canidate['tracker']]
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write_csv(self.cv,self.telemetry_outfile,header,row)
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...
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elif is_protected_over_ratio(canidate['ratio'], 1.05, self.tracker_protected_tag, canidate["tags"]):
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if self.use_log:
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self.tl.debug(f'["{canidate["name"][0:20]}..."] is above a 1.05 ratio({canidate["ratio"]}).')
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self.torrent_hash_delete_list.append(canidate['infohash_v1'])
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...
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elif is_not_protected_tor(self.tracker_non_protected_tag, canidate["tags"]):
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self.torrent_hash_delete_list.append(canidate['infohash_v1'])
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...
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else:
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if self.enable_dragnet:
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header = ['state','ratio','tags','added','thash','tname','trname']
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row = [canidate['state'],canidate['ratio'],canidate["tags"],canidate['added_on'],canidate['infohash_v1'],canidate["name"][0:20],canidate['tracker']]
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write_csv(self.cv,self.dragnet_outfile,header,row)
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continue
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```
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I package this in a docker file:
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```Dockerfile
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FROM python:alpine3.18
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WORKDIR /
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COPY . opt
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RUN apk add --no-cache supercronic
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RUN pip install requests
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RUN pip install qbittorrent-api
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RUN chmod +x /opt/entrypoint.sh
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CMD ["/opt/entrypoint.sh"]
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```
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Then use [Drone][drone] to package this into a container. This pushes the container to an [OCI repo][oci] in gitea. The application is configured through a toml file:
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```toml
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[qbittorrent]
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host = "192.168.x.x"
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port = 8080
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username = "user"
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password = "pass"
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...
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[healthcheck]
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use_healthcheck = true
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healthcheck_url = "https://example.com/ping/<uuid>>"
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```
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Using unraid has honestly been a delight. I had some performance issues but that was due to how I was using the storage pool.
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Finally, this same container will run the test cases in `test_qbitmaid.py`. This is handled by drone. So eachtime I push new code to a development branch on gitea, it creates a container to test and tests the code. Once I see that it has passed, I can merge the code to the main branch.
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## Final Notes
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I have been using this for over 2 years. It was a huge learning experience and my coding practices have evolved over my newer projects. While I did make this for my use mainly, feel free to try it out! If you have any questions, you can open an issue [here](https://git.jonb.io/jblu/qbit-maid/issues/new).
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[^1]: The Source Code can be found [here][source-code].
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[^2]: Private trackers require you to seed a torrent for a period of time. In my case, I have to seed for about 2 weeks or to a ratio of 1.
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[^3]: Code has been removed for examples in this article.
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[source-code]: https://git.jonb.io/jblu/qbit-maid
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[source-code]: https://git.jonb.io/jblu/qbit-maid
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[private tracker]: https://en.wikipedia.org/wiki/BitTorrent_tracker#Private_trackers
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[drone]: https://www.drone.io/
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[oci]: https://git.jonb.io/jblu/-/packages/container/qbit-maid/latest
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