4410: Implement the experimental log mode cli flag and log level updates at runtime r=dureuill a=irevoire
# Pull Request
This PR fixes two issues at once because they’re highly correlated in the codebase.
## Related issue
Fixes https://github.com/meilisearch/meilisearch/issues/4415
Fixes https://github.com/meilisearch/meilisearch/issues/4413
## What does this PR do?
- It makes the fmt logger configurable to output json or human-readable logs (like we already do today)
- It moves the fmt logger under a `reload` layer so we can update its targets at runtime
- Add the possibility to stream logs in the json mode
- Adds an analytics for the new CLI flag
Co-authored-by: Tamo <tamo@meilisearch.com>
4304: Add CUDA GPU support for Hugging Face embedders r=Kerollmops a=dureuill
Adds a "cuda" feature to `milli`.
Compiling with this feature requires that the CUDA support library be installed (see "with CUDA support" paragraph in https://huggingface.github.io/candle/guide/installation.html), and adds CUDA support to the `huggingFace` embedder.
To enable GPU support, users will need to:
1. Have a compatible NVidia GPU under Linux
2. Follow [the guide](https://huggingface.github.io/candle/guide/installation.html) to install the CUDA dependencies
3. Compile Meilisearch with the `cuda` feature: `cargo build --release --features cuda`
# Impact
Enabling the CUDA feature allows to use an available GPU to compute embeddings with a `huggingFace` embedder.
On an AWS Graviton 2, this yields a x3 - x5 improvement on indexing time.
# Technical details
- I had to change the CI so that the cuda feature is not included in the `Tests all features` workflow
- To achieve that, I had to add a binary following the `cargo xtask` design pattern, to list all features excepted the cuda one.
- I then changed the workflow accordingly (renamed to "Tests almost all features" 😉)
- A test run of the new feature was done on a temporary version of this PR that had it enabled for PRs: [See the results here](https://github.com/meilisearch/meilisearch/actions/runs/7461331929/job/20301216732)
Co-authored-by: Louis Dureuil <louis@meilisearch.com>
4238: Task queue webhook r=dureuill a=irevoire
# Prototype `prototype-task-queue-webhook-1`
The prototype is available through Docker by using the following command:
```bash
docker run -p 7700:7700 -v $(pwd)/meili_data:/meili_data getmeili/meilisearch:prototype-task-queue-webhook-1
```
# Pull Request
Implements the task queue webhook.
## Related issue
Fixes https://github.com/meilisearch/meilisearch/issues/4236
## What does this PR do?
- Provide a new cli and env var for the webhook, respectively called `--task-webhook-url` and `MEILI_TASK_WEBHOOK_URL`
- Also supports sending the requests with a custom `Authorization` header by specifying the optional `--task-webhook-authorization-header` CLI parameter or `MEILI_TASK_WEBHOOK_AUTHORIZATION_HEADER` env variable.
- Throw an error if the specified URL is invalid
- Every time a batch is processed, send all the finished tasks into the webhook with our public `TaskView` type as a JSON Line GZIPed body.
- Add one test.
## PR checklist
### Before becoming ready to review
- [x] Add a test
- [x] Compress the data we send
- [x] Chunk and stream the data we send
- [x] Remove the unwrap in the index-scheduler when sending the data fails
- [x] The analytics are missing
### Before merging
- [x] Release a prototype
Co-authored-by: Tamo <tamo@meilisearch.com>
Co-authored-by: Clément Renault <clement@meilisearch.com>
