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to be squashed. Signed-off-by: charles <charles.englebert@protonmail.com> Signed-off-by: charles <charles.englebert@protonmail.com>
1.7 KiB
1.7 KiB
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/fernetkey command.