## Purpose
For beta testing purposes we need to be able to activate Find hybrid
search to some users, Find full-text search to some others and leave
remaining users on basic DRF title search.
## Proposal
The solution proposed is based on [django-waffle
](https://waffle.readthedocs.io/en/stable/types/flag.html).
- [x] install waffle and activate the default app in settings.
- [x] implement `_get_search_type` in `DocumentViewset` to determine
which search type (title, hybrid or full-text) to use.
- [x] send the `search_type` in the search query.
## 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>
When the caption was present, the image resizing
handles were not working.
This was because we were adding a Figure element
around the resizing div instead of the image itself.
## 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>
The psycopg pool config was enabled by default forcing its usage. Using
psycopg pool can be difficult, finding the good configuration take time.
By default its usage should be disable and the maintainer of the
instance should decide to enable it or not.
Since we upgraded to django-treebeard version 5 we have anormal behavior
and a high error rate on the document.path property. We must downgrade
it and avoid future upgrade from renovate.
In order to run the tests we need to increase the max pool size. Only
having 4 connections in the pool is not enough and all the tests using a
transaction are failing with a tiemout error.
We have the same problem running locally so the same value is added to
the postgresql environment file
The annotation in the values.yaml have not been updated since a while.
This commit update them and generate the readme using the generate-readme.sh
script
We want the possibility to configure specific environment variables on
backend and celery deployment. Most of them are common but in the case
of the newly added settings DB_PSYCOPG_POOL_MIN_SIZE we want to
configure ot only on the backend deployment, not on the celery or with a
different value.
We enable the pool option on the DB configuration. We want to allow the
configuration of the min and max sixe in a first time. They can be
configured using the settings DB_PSYCOPG_POOL_MIN_SIZE and
DB_PSYCOPG_POOL_MAX_SIZE. They have their default value to 4 and None.
Added:
- ✨(backend) add a is_first_connection flag to the User model
- ✨(frontend) add onboarding modal with help menu button
Changed:
- ♿(frontend) localize LaGaufre label fallback in Docs
- ✨(backend) add a migration cleaning on-boarding
document accesses
- ⬆️(frontend) upgrade Next.js to v16
- ♿️(frontend) fix aria-label and landmark on document
banner state
- 🌐(i18n) add "new window" translation key for waffle
aria-label
Fixed:
- 🐛(backend) create a link_trace record for on-boarding
documents
- 🐛(backend) manage race condition when creating sandbox
document
- 🐛(frontend) fix flickering left panel
- ♿️(frontend) improve doc tree keyboard navigation
In order to have the text of components from the
Cunningham library translated, we need to pass the current
locale to the CunninghamProvider.
We need to create a new ThemeProvider component that
will wrap the CunninghamProvider in order to have
react-query fully loaded.
integrate onboarding feature accessible from left panel help menu
✨(frontend) add docs onboarding and help memu
Introduce an onboarding to guide users through core features.
If navigating quickly between documents, the
skeleton of the document page can be blocked
on the main page.
This commit fixes this issue by reseting the skeleton
state when unmounting the document page.
In some cases, the left panel can flicker
when navigating from the index to a document page.
This is due to different state + a transition effect.
To fix this, we remove the transition effect
when mounting.
We were previously copying the emoji assets
in a webpack plugin, but that doesn't run with
turbopack. This commit moves the copying to a
pre-build script, which runs regardless of the
bundler used.
We change the strategy on how the new users have access to the
onboarding documents. We should remove all created accesses we don't
want to have anymore. There is no need to add them in the link_trace
table, they are already present in the favorites and user have already
access to it.
When a user is created and a sandbox document should be created, we can
have a race condition on the document creation leading to an error for
the user. To avoid this we have to manage this part in a transaction and
locking the document table
When a user is created, we created accesses to a list of onboarding
documents. Doing this have side effect on the proximity search feature.
Instead of creating access, we should create link_reach
Backend part of #1796.
This changes allows to display an onboarding modal the first time that
the get_me() API view is called.
I originally tried to check if `User.last_login` was `None`, but it is
updated as soon as the user is logged, so I chose to create a flag on
the model.
Added:
- ✨(helm) allow all keys in configMap as env var
Changed:
- 📝(docs) improve README and add documentation hub
- ♿️(frontend) restore focus to triggers after closing menus and modals
- 🚸(frontend) change position elements toolbar
- ♿️(frontend) add focus on open to modals
Fixed:
- 🐛(frontend) analytic feature flags problem
- 🐛(frontend) fix home collapsing panel
- 🐛(frontend) fix disabled color on icon Dropdown
- 🐛(frontend) fix zIndex table of content
- 🐛(frontend) fix bug when language not supported by BN
- 🐛 (backend) prevent privileged users from requesting access
We upgrade pydantic-ai-slim to version 1.63.0, we have an error when
Docs is run in preprod environment.
We have to investigate why and we decided to downgrade to a working
version
The title was flickering because the icons were
loading and pushing the div to the left. We do not
need the icons part if we are not hovering the tree
item, so we can hide it until we hover the item.
The AI and comment toolbar buttons are now
positioned at the end of the toolbar.
They were taking too much space on the left
which was not ideal for user experience.
