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
---------
Co-authored-by: 6543 <6543@obermui.de>
Closes https://github.com/woodpecker-ci/woodpecker/issues/1615
The error described in
https://github.com/woodpecker-ci/woodpecker/issues/1615 is happening
because `Tail` method of the docker backend closes the instance of
`io.ReadCloser` it returns in `defer` function. As a result anything
that try to read data returned by `Tail` method eventually will attempt
to read from closes reader and get an error:
2171212c5a/pipeline/backend/docker/docker.go (L229)
The fix is just don't close returned reader and let the consumer of
`Tail` method do it. Good thing is that `Tail` is used only in one place
and reader is correctly closed:
2171212c5a/pipeline/pipeline.go (L231-L237)
Example of `woodpecker exec` output using pipeline from
https://github.com/woodpecker-ci/woodpecker/issues/1615 with the fix:
```
woodpecker exec .woodpecker.yaml
[step1:L0:0s] + echo step1
[step1:L1:0s] step1
[step2:L0:0s] + echo step2
[step2:L1:0s] step2
```
Signed-off-by: Alexander Matyushentsev <AMatyushentsev@gmail.com>
Co-authored-by: Lauris BH <lauris@nix.lv>
Try to fix#1495
It's very hard to reproduce it and only way to fix when it gets in this
state is woodpecker agent restart.
This anyway fixes problem if step mounts and
`WOODPECKER_BACKEND_DOCKER_VOLUMES` conflict
at the moment we compile a script that we can pipe in as single command
this is because of the constrains the docker backend gives us.
so we move it into the docker backend and eventually get rid of it altogether
