Ettore Di Giacinto
c19ed5ab32
Making a worker's refusal reaping evidence created a defect one layer along, at the producer. The worker refused a ReadStreamRequest failure with ErrStreamRequestInvalid and its own comment said "Includes the deadline above expiring", which was harmless while every refusal reached the frontend as "no route" and became a reap the moment one of them did not. So a request frame that had merely not ARRIVED yet was reported as a non-transient verdict about a backend. It is reachable on the relay path, which carries most production traffic: the worker's header timer starts when the OWNING replica opens the stream, while the frame is written by the DIALLING replica only after the relay's acceptance travels back to it, so a whole peer-link round trip runs inside that window, on a link this design deliberately loads with multi-gigabyte artifacts beside token streams. For a long-deadline caller the endpoint is ConnectionEvictingClient, which stops the model across the fleet. It also falsified the "neither clears on its own" argument that licensed the reap. There is now a fourth refusal, ErrStreamNotServed, for what a worker could not serve for a reason of its OWN. It is deliberately outside IsWorkerAnswer, so it reaches a consumer under the no-route umbrella and reaps nothing, which is the same treatment an unrecognised code already gets. Four producers move onto it: a request frame that timed out (a malformed one stays a verdict, because that is a frontend bug no retry fixes), both SetReadDeadline failures, which are facts about the stream and not about a target nothing has dialled yet, and WriteStreamRefusal's default for a reason nobody classified. classifyServiceFailure keeps ErrStreamTargetUnavailable as its default on purpose: inverting it would make errno enumeration the single point of failure for the reap, and a miss there is a row nothing can ever delete. What it gains is a deny-list of two causes that are provably this worker's own clock or its own context. Also: - The read-site caller-deadline guard in the handshake was unpinned: the existing seam spends the budget before the handshake starts, so only the write could ever fail. A spec whose deadline falls between the request and the reply pins it, and each guard now reddens on its own. - The documented worker-first failure line omitted the JSON error envelope the old frontend returns, so an operator grepping it found nothing. - The peer-link disclosure names the aimable per-session receive window in all four places, and LastDialErrorOf records why a third consumer must go through IsWorkerAnswer rather than roll its own list. Assisted-by: Claude Opus 5 [claude-code] Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
LocalAI website
LocalAI documentation website
Requirement
In this project, the Docsy theme component is pulled in as a Hugo module, together with other module dependencies:
$ hugo mod graph
hugo: collected modules in 566 ms
hugo: collected modules in 578 ms
github.com/google/docsy-example github.com/google/docsy@v0.5.1-0.20221017155306-99eacb09ffb0
github.com/google/docsy-example github.com/google/docsy/dependencies@v0.5.1-0.20221014161617-be5da07ecff1
github.com/google/docsy/dependencies@v0.5.1-0.20221014161617-be5da07ecff1 github.com/twbs/bootstrap@v4.6.2+incompatible
github.com/google/docsy/dependencies@v0.5.1-0.20221014161617-be5da07ecff1 github.com/FortAwesome/Font-Awesome@v0.0.0-20220831210243-d3a7818c253f
If you want to do SCSS edits and want to publish these, you need to install PostCSS
npm install
Running the website locally
Building and running the site locally requires a recent extended version of Hugo.
You can find out more about how to install Hugo for your environment in our
Getting started guide.
From the LocalAI repository root, run:
make docs
The Hugo configuration lives in the docs directory. To invoke Hugo
directly instead, run:
cd docs
hugo server
Running a container locally
You can run docsy-example inside a Docker
container, the container runs with a volume bound to the docsy-example
folder. This approach doesn't require you to install any dependencies other
than Docker Desktop on
Windows and Mac, and Docker Compose
on Linux.
-
Build the docker image
docker-compose build -
Run the built image
docker-compose upNOTE: You can run both commands at once with
docker-compose up --build. -
Verify that the service is working.
Open your web browser and type
http://localhost:1313in your navigation bar, This opens a local instance of the docsy-example homepage. You can now make changes to the docsy example and those changes will immediately show up in your browser after you save.
Cleanup
To stop Docker Compose, on your terminal window, press Ctrl + C.
To remove the produced images run:
docker-compose rm
For more information see the Docker Compose documentation.
Troubleshooting
As you run the website locally, you may run into the following error:
➜ hugo server
INFO 2021/01/21 21:07:55 Using config file:
Building sites … INFO 2021/01/21 21:07:55 syncing static files to /
Built in 288 ms
Error: Error building site: TOCSS: failed to transform "scss/main.scss" (text/x-scss): resource "scss/scss/main.scss_9fadf33d895a46083cdd64396b57ef68" not found in file cache
This error occurs if you have not installed the extended version of Hugo. See this section of the user guide for instructions on how to install Hugo.
Or you may encounter the following error:
➜ hugo server
Error: failed to download modules: binary with name "go" not found
This error occurs if you have not installed the go programming language on your system.
See this section of the user guide for instructions on how to install go.