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## Purpose integrate Find to Docs ## Proposal - [x] ✨ add a `useSeachDocs` hook in charged of calling the search endpoint. - [x] ✨ add a optional `path` param to the `search` route. This param represents the parent document path in case of a sub-documents (descendants) search. - [x] ⚡️return Indexer results directly without DB calls to retrieve the Document objects. All informations necessary for display are indexed in Find. We can skip the DB calls and improve performance. - [x] ♻️ refactor react `DocSearchContent` components. `DocSearchContent` and `DocSearchSubContent` are now merged a unique component handling all search scenarios and relying on the unique `search` route. - [x] 🔥remove pagination logic in the Indexer. Removing the DB calls also removes the DRF queryset object which handles the pagination. Also we consider pagination not to be necessary for search v1. - [x] 🔥remove the `document/<document_id>/descendants` route. This route is not used anymore. The logic of finding the descendants are moved to the internal `_list_descendants` method. This method is based on the parent `path` instead of the parent `id` which has some consequence about the user access management. Relying on the path prevents the use of the `self.get_object()` method which used to handle the user access logic. - [x] ✨handle fallback logic on DRF based title search in case of non-configured, badly configured or failing at run time indexer. - [x] ✨handle language extension in `title` field. Find returns titles with a language extension (ex: `{ title.fr: "rapport d'activité" }` instead of `{ "title": "rapport d'activité" }`. - [x] 🔧 add a `common.test` file to allow running the tests without docker - [x] ♻️ rename `SearchIndexer` -> `FindDocumentIndexer`. This class has to do with Find in particular and the convention is more coherent with `BaseDocumentIndexer` - [x] ♻️ rename `SEARCH_INDEXER_URL` -> `INDEXING_URL` and `SEARCH_INDEXER_QUERY_URL` -> `SEARCH_URL`. I found the original names very confusing. - [x] 🔧 update the environment variables to activate the FindDocumentIndexer. - [x] ✨automate the generation of encryption key during bootstrap. OIDC_STORE_REFRESH_TOKEN_KEY is a mandatory secret key. We can not push it on Github and we want any contributor to be able to run the app by only running the `make bootstrap`. We chose to generate and wright it into the `common.local` during bootstrap. ## External contributions Thank you for your contribution! 🎉 Please ensure the following items are checked before submitting your pull request: - [x] I have read and followed the [contributing guidelines](https://github.com/suitenumerique/docs/blob/main/CONTRIBUTING.md) - [x] I have read and agreed to the [Code of Conduct](https://github.com/suitenumerique/docs/blob/main/CODE_OF_CONDUCT.md) - [x] I have signed off my commits with `git commit --signoff` (DCO compliance) - [x] I have signed my commits with my SSH or GPG key (`git commit -S`) - [x] My commit messages follow the required format: `<gitmoji>(type) title description` - [x] I have added a changelog entry under `## [Unreleased]` section (if noticeable change) - [x] I have added corresponding tests for new features or bug fixes (if applicable) --------- Signed-off-by: charles <charles.englebert@protonmail.com>
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Setup Find search for Docs
This configuration will enable Find searches:
- Each save on core.Document or core.DocumentAccess will trigger the indexing of the document into Find.
- The
api/v1.0/documents/search/will be used as proxy for searching documents from Find indexes.
Create an index service for Docs
Configure a Service for Docs application with these settings
- Name:
docs
request.auth.name of the Docs application. - Client id:
impress
Name of the token audience or client_id of the Docs application.
See how-to-use-indexer.md for details.
Configure settings of Docs
Find uses a service provider authentication for indexing and a OIDC authentication for searching.
Add those Django settings to the Docs application to enable the feature.
SEARCH_INDEXER_CLASS="core.services.search_indexers.FindDocumentIndexer"
SEARCH_INDEXER_COUNTDOWN=10 # Debounce delay in seconds for the indexer calls.
SEARCH_INDEXER_QUERY_LIMIT=50 # Maximum number of results expected from the search endpoint
INDEXING_URL="http://find:8000/api/v1.0/documents/index/"
SEARCH_URL="http://find:8000/api/v1.0/documents/search/"
# Service provider authentication
SEARCH_INDEXER_SECRET="find-api-key-for-docs-with-exactly-50-chars-length"
# OIDC authentication
OIDC_STORE_ACCESS_TOKEN=True # Store the access token in the session
OIDC_STORE_REFRESH_TOKEN=True # Store the encrypted refresh token in the session
OIDC_STORE_REFRESH_TOKEN_KEY="<your-32-byte-encryption-key==>"
OIDC_STORE_REFRESH_TOKEN_KEY must be a valid Fernet key (32 url-safe base64-encoded bytes).
To create one, use the bin/generate-oidc-store-refresh-token-key.sh command.