This is the first step towards support for multiple forges (#138). It
inserts a forge using the currently existing env varaibles into db and
uses this forge from db later on in all places of the code.
closes#621
addresses #138
# TODO
- [x] add forges table
- [x] add id of forge to repo
- [x] use forge of repo
- [x] add forge from env vars to db if not exists
- [x] migrate repo.ForgeID to the newly generated forge
- [x] support cache with forge from repo
- [x] maybe add forge loading cache? (use LRU cache for forges, I expect
users to have less than 10 forges normally)
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Co-authored-by: qwerty287 <80460567+qwerty287@users.noreply.github.com>
Mostly those that did not require much work.
From #2960
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Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Because of the check `if step.Stopped == 0`
without the check there are edgecases where could be the case a stoped
steped can be markt as running again, witch is wrong.
I do remember we have "running" steps indefinetly in cancled pipelines.
This could be the fix, i just did not test that specific.
Anyway the func hat a good testcoverage ... so just look at the tests
_Source:
https://github.com/woodpecker-ci/woodpecker/pull/3143#discussion_r1446138088_
close#3109
~~also fix start time of steps to be set correctly~~ edgecase do not hit
anymore as we have a clear sepperation between workflows and steps now
:)
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Co-authored-by: Anbraten <anton@ju60.de>
Transfer the agent hostname to the server's model.agent.Name field.
Previously the autoscaler had to create the agent with the server and
get a unique token to pass to the agent at boot up. This allows to get
the right name for the agent while using the shared master agent token
at agent boot up.
Both ways are still supported.
Previously, *all* log streams of the pipeline were closed everytime when
a workflow is done, if you have multiple workflows, streams will be
closed multiple times.
Closes https://github.com/woodpecker-ci/woodpecker/issues/2036
- refactor pipeline parsing
- do not parse the pipeline multiple times to perform filter checks, do
this once and perform checks on the result directly
- code deduplication
- refactor forge token refreshing
- move refreshing to a helper func to reduce code
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Co-authored-by: Anbraten <anton@ju60.de>
closes#1801closes#1815closes#1144
closes #983
closes #557closes#1827
regression of #1791
# TODO
- [x] adjust log model
- [x] add migration for logs
- [x] send log line via grpc using step-id
- [x] save log-line to db
- [x] stream log-lines to UI
- [x] use less structs for log-data
- [x] make web UI work
- [x] display logs loaded from db
- [x] display streaming logs
- [ ] ~~make migration work~~ -> dedicated pull (#1828)
# TESTED
- [x] new logs are stored in database
- [x] log retrieval via cli (of new logs) works
- [x] log streaming works (tested via curl & webui)
- [x] log retrieval via web (of new logs) works
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Co-authored-by: 6543 <6543@obermui.de>
Save which agent is running a task. This is now visible in the admin UI
in the queue and in the agent details screen.
# changes
- [x] save id of agent executing a task
- [x] add endpoint to get tasks of an agent for #999
- [x] show assigned agent-id in queue
- [x] (offtopic) use same colors for queue stats and icons (similar to
the ones used by pipelines)
- [x] (offtopic) use badges for queue labels & dependencies
Officially support labels for pipelines and agents to improve pipeline picking.
* add pipeline labels
* update, improve docs and add migration
* update proto file
---
closes#304 & #860
* only calculate time on running builds
* Add updated timestamp into database and use it in frontend
* add more trace logging
* refactor (move grpc unrelated func into related package)
* fix xorm schema
* add todo
