📝(backend) add fulltext search documentation
Add documentation for env & Find+Docs configuration in dev mode Signed-off-by: Fabre Florian <[email protected]>
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@@ -12,6 +12,7 @@ flowchart TD
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Back --> DB("Database (PostgreSQL)")
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Back <--> Celery --> DB
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Back ----> S3("Minio (S3)")
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Back -- REST API --> Find
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```
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### Architecture decision records
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@@ -93,6 +93,12 @@ These are the environment variables you can set for the `impress-backend` contai
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| OIDC_USERINFO_SHORTNAME_FIELD | OIDC token claims to create shortname | first_name |
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| POSTHOG_KEY | Posthog key for analytics | |
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| REDIS_URL | Cache url | redis://redis:6379/1 |
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| SEARCH_INDEXER_CLASS | Class of the backend for document indexation & search | |
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| SEARCH_INDEXER_BATCH_SIZE | Size of each batch for indexation of all documents | 100000 |
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| SEARCH_INDEXER_COUNTDOWN | Minimum debounce delay of indexation jobs (in seconds) | 1 |
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| SEARCH_INDEXER_URL | Find application endpoint for indexation | |
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| SEARCH_INDEXER_SECRET | Token for indexation queries | |
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| SEARCH_INDEXER_QUERY_URL | Find application endpoint for search | |
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| SENTRY_DSN | Sentry host | |
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| SESSION_COOKIE_AGE | duration of the cookie session | 60*60*12 |
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| SPECTACULAR_SETTINGS_ENABLE_DJANGO_DEPLOY_CHECK | | false |
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@@ -0,0 +1,39 @@
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# Setup the Find search for Impress
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This configuration will enable the fulltext search feature for Docs :
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- Each save on **core.Document** or **core.DocumentAccess** will trigger the indexer
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- The `api/v1.0/documents/search/` will work as a proxy with the Find API for fulltext search.
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## Create an index service for Docs
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Configure a **Service** for Docs application with these settings
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- **Name**: `docs`<br>_request.auth.name of the Docs application._
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- **Client id**: `impress`<br>_Name of the token audience or client_id of the Docs application._
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See [how-to-use-indexer.md](how-to-use-indexer.md) for details.
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## Configure settings of Docs
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Add those Django settings the Docs application to enable the feature.
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```shell
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SEARCH_INDEXER_CLASS="core.services.search_indexers.FindDocumentIndexer"
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SEARCH_INDEXER_COUNTDOWN=10 # Debounce delay in seconds for the indexer calls.
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# The token from service "docs" of Find application (development).
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SEARCH_INDEXER_SECRET="find-api-key-for-docs-with-exactly-50-chars-length"
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SEARCH_INDEXER_URL="http://find:8000/api/v1.0/documents/index/"
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# Search endpoint. Uses the OIDC token for authentication
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SEARCH_INDEXER_QUERY_URL="http://find:8000/api/v1.0/documents/search/"
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```
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We also need to enable the **OIDC Token** refresh or the authentication will fail quickly.
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```shell
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# Store OIDC tokens in the session
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OIDC_STORE_ACCESS_TOKEN = True # Store the access token in the session
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OIDC_STORE_REFRESH_TOKEN = True # Store the encrypted refresh token in the session
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OIDC_STORE_REFRESH_TOKEN_KEY = "your-32-byte-encryption-key==" # Must be a valid Fernet key (32 url-safe base64-encoded bytes)
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```
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@@ -97,6 +97,17 @@ Production deployments differ significantly from development environments. The t
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| 5433 | PostgreSQL (Keycloak) |
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| 1081 | MailCatcher |
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**With fulltext search service**
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| Port | Service |
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| --------- | --------------------- |
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| 8081 | Find (Django) |
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| 9200 | Opensearch |
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| 9600 | Opensearch admin |
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| 5601 | Opensearch dashboard |
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| 25432 | PostgreSQL (Find) |
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## 6. Sizing Guidelines
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**RAM** – start at 8 GB dev / 16 GB staging / 32 GB prod. Postgres and Keycloak are the first to OOM; scale them first.
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@@ -36,6 +36,7 @@ OIDC_OP_JWKS_ENDPOINT=http://nginx:8083/realms/impress/protocol/openid-connect/c
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OIDC_OP_AUTHORIZATION_ENDPOINT=http://localhost:8083/realms/impress/protocol/openid-connect/auth
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OIDC_OP_TOKEN_ENDPOINT=http://nginx:8083/realms/impress/protocol/openid-connect/token
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OIDC_OP_USER_ENDPOINT=http://nginx:8083/realms/impress/protocol/openid-connect/userinfo
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OIDC_OP_INTROSPECTION_ENDPOINT=http://nginx:8083/realms/impress/protocol/openid-connect/token/introspect
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OIDC_RP_CLIENT_ID=impress
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OIDC_RP_CLIENT_SECRET=ThisIsAnExampleKeyForDevPurposeOnly
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