updated available models
# Description
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## Screenshots (if appropriate):
added check on customer if still valid
# Description
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## Screenshots (if appropriate):
# DONE
- generate_stream, generate and save answer in BE
# TODO
- Create an intermediary make_streaming_recursive_tool_calls async
function
- Save intermediary answers in new message logs column then fetch and
display in front
logic
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## Screenshots (if appropriate):
to return a list of DocumentAnswer objects
# Description
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## Screenshots (if appropriate):
- Add `QAInterface` which should be implemented by all custom answer
generator to be compatible with Quivr
- Add `RAGInterface` which should be implemented by all RAG classes
# Description
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## Screenshots (if appropriate):
# Description
There was a typo on one of the celery's config variables.
The `CELEBRY_BROKER_QUEUE_NAME` variable has been replaced by
`CELERY_BROKER_QUEUE_NAME`
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## Screenshots (if appropriate):
now made easy
# Description
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## Screenshots (if appropriate):
# Description
- Refactor knowledge to a module
- This PR breaks the Github Processor function -> need to comment brain
and file imports as it creates a circular dependency issue. Should be
fixed and reverted in next PR.
upgraded
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## Screenshots (if appropriate):
# Description
- Notification module
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## Screenshots (if appropriate):
fixed
# Description
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## Screenshots (if appropriate):
reduce sampling
# Description
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## Screenshots (if appropriate):
# Description
```
======================================================================
backend-core | --- Logging error ---
backend-core | Traceback (most recent call last):
backend-core | File "/usr/local/lib/python3.11/logging/__init__.py", line 1110, in emit
backend-core | msg = self.format(record)
backend-core | ^^^^^^^^^^^^^^^^^^^
backend-core | File "/usr/local/lib/python3.11/logging/__init__.py", line 953, in format
backend-core | return fmt.format(record)
backend-core | ^^^^^^^^^^^^^^^^^^
backend-core | File "/usr/local/lib/python3.11/logging/__init__.py", line 687, in format
backend-core | record.message = record.getMessage()
backend-core | ^^^^^^^^^^^^^^^^^^^
backend-core | File "/usr/local/lib/python3.11/logging/__init__.py", line 377, in getMessage
backend-core | msg = msg % self.args
backend-core | ~~~~^~~~~~~~~~~
backend-core | TypeError: not all arguments converted during string formatting
backend-core | Call stack:
backend-core | File "<string>", line 1, in <module>
backend-core | File "/usr/local/lib/python3.11/multiprocessing/spawn.py", line 122, in spawn_main
backend-core | exitcode = _main(fd, parent_sentinel)
backend-core | File "/usr/local/lib/python3.11/multiprocessing/spawn.py", line 135, in _main
backend-core | return self._bootstrap(parent_sentinel)
backend-core | File "/usr/local/lib/python3.11/multiprocessing/process.py", line 314, in _bootstrap
backend-core | self.run()
backend-core | File "/usr/local/lib/python3.11/multiprocessing/process.py", line 108, in run
backend-core | self._target(*self._args, **self._kwargs)
backend-core | File "/usr/local/lib/python3.11/site-packages/uvicorn/_subprocess.py", line 76, in subprocess_started
backend-core | target(sockets=sockets)
backend-core | File "/usr/local/lib/python3.11/site-packages/uvicorn/server.py", line 61, in run
backend-core | return asyncio.run(self.serve(sockets=sockets))
backend-core | File "/usr/local/lib/python3.11/asyncio/runners.py", line 190, in run
backend-core | return runner.run(main)
backend-core | File "/usr/local/lib/python3.11/asyncio/runners.py", line 118, in run
backend-core | return self._loop.run_until_complete(task)
backend-core | File "/usr/local/lib/python3.11/asyncio/base_events.py", line 640, in run_until_complete
backend-core | self.run_forever()
backend-core | File "/usr/local/lib/python3.11/asyncio/base_events.py", line 607, in run_forever
backend-core | self._run_once()
backend-core | File "/usr/local/lib/python3.11/asyncio/base_events.py", line 1922, in _run_once
backend-core | handle._run()
backend-core | File "/usr/local/lib/python3.11/asyncio/events.py", line 80, in _run
backend-core | self._context.run(self._callback, *self._args)
backend-core | File "/usr/local/lib/python3.11/site-packages/uvicorn/protocols/http/h11_impl.py", line 428, in run_asgi
backend-core | result = await app( # type: ignore[func-returns-value]
backend-core | File "/usr/local/lib/python3.11/site-packages/uvicorn/middleware/proxy_headers.py", line 78, in __call__
backend-core | return await self.app(scope, receive, send)
backend-core | File "/usr/local/lib/python3.11/site-packages/fastapi/applications.py", line 276, in __call__
backend-core | await super().__call__(scope, receive, send)
backend-core | File "/usr/local/lib/python3.11/site-packages/starlette/applications.py", line 122, in __call__
backend-core | await self.middleware_stack(scope, receive, send)
backend-core | File "/usr/local/lib/python3.11/site-packages/starlette/middleware/errors.py", line 162, in __call__
backend-core | await self.app(scope, receive, _send)
backend-core | File "/usr/local/lib/python3.11/site-packages/starlette/middleware/cors.py", line 91, in __call__
backend-core | await self.simple_response(scope, receive, send, request_headers=headers)
backend-core | File "/usr/local/lib/python3.11/site-packages/starlette/middleware/cors.py", line 146, in simple_response
backend-core | await self.app(scope, receive, send)
backend-core | File "/usr/local/lib/python3.11/site-packages/starlette/middleware/exceptions.py", line 68, in __call__
backend-core | await self.app(scope, receive, sender)
backend-core | File "/usr/local/lib/python3.11/site-packages/fastapi/middleware/asyncexitstack.py", line 18, in __call__
backend-core | await self.app(scope, receive, send)
backend-core | File "/usr/local/lib/python3.11/site-packages/starlette/routing.py", line 718, in __call__
backend-core | await route.handle(scope, receive, send)
backend-core | File "/usr/local/lib/python3.11/site-packages/starlette/routing.py", line 276, in handle
backend-core | await self.app(scope, receive, send)
backend-core | File "/usr/local/lib/python3.11/site-packages/starlette/routing.py", line 66, in app
backend-core | response = await func(request)
backend-core | File "/usr/local/lib/python3.11/site-packages/fastapi/routing.py", line 237, in app
backend-core | raw_response = await run_endpoint_function(
backend-core | File "/usr/local/lib/python3.11/site-packages/fastapi/routing.py", line 163, in run_endpoint_function
backend-core | return await dependant.call(**values)
backend-core | File "/code/routes/knowledge_routes.py", line 37, in list_knowledge_in_brain_endpoint
backend-core | logger.info("List of knowledge from knowledge table", knowledges)
backend-core | Message: 'List of knowledge from knowledge table'
backend-core | Arguments: ([Knowledge(id=UUID('b5ae6a25-1e8e-4fb5-a0c1-0039a8318ec3'), brain_id=UUID('7af64537-61cb-48e1-b3d1-c700d748b373'), file_name='Cradle to Cradle Criteria for the built environmen.pdf', url=None, extension='.pdf'), Knowledge(id=UUID('efb7ad5a-a13e-46f3-a580-4c574710ad15'), brain_id=UUID('7af64537-61cb-48e1-b3d1-c700d748b373'), file_name='GEG_2023_gebaeudeenergiegesetz_kompakt_und_praktisch.pdf', url=None, extension='.pdf'), Knowledge(id=UUID('9442f898-0fbe-46d2-b6ae-a726d62717bd'), brain_id=UUID('7af64537-61cb-48e1-b3d1-c700d748b373'), file_name='dgnb-kriterienkatalog-gebaeude-neubau-version-2023-auflage-2.pdf', url=None, extension='.pdf')],)
======================================================================
```
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# Description
Prompt module with Service
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## Screenshots (if appropriate):
To enable the ingestion of copy protected PDF via OCR instead of text
extraction
# Description
Copy protected PDF can't be properly imported via the standard langchain
loader.
See the following errors:
```
2023-11-15 14:16:31,927 [INFO] models.files: Computing documents from file Cradle to Cradle Criteria for the built environmen.pdf
[nltk_data] Downloading package punkt to
[nltk_data] /home/pascal_gula_luccid_ai/nltk_data...
[nltk_data] Unzipping tokenizers/punkt.zip.
[nltk_data] Downloading package averaged_perceptron_tagger to
[nltk_data] /home/pascal_gula_luccid_ai/nltk_data...
[nltk_data] Unzipping taggers/averaged_perceptron_tagger.zip.
Error processing file: detectron2 is not installed, pytesseract is not installed and the text of the PDF is not extractable. To process this file, install detectron2, install pytesseract, or remove copy protection from the PDF.
```
```
2023-11-15 15:04:14,624 [INFO] models.files: Computing documents from file Cradle to Cradle Criteria for the built environmen.pdf
Error processing file: Unable to get page count. Is poppler installed and in PATH?
```
```
023-11-15 15:59:11,886 [INFO] models.files: Computing documents from file Cradle to Cradle Criteria for the built environmen.pdf
Error processing file: tesseract is not installed or it's not in your PATH. See README file for more information.
```
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## Screenshots (if appropriate):
None
Co-authored-by: Stan Girard <girard.stanislas@gmail.com>
increased default value to 1000
# Description
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## Screenshots (if appropriate):
truncating long response
# Description
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## Screenshots (if appropriate):
cleaning old code to introduce better patern
# Description
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## Screenshots (if appropriate):
added explore button and removed unused feature openai key
# Description
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## Screenshots (if appropriate):
reduced size by 2
# Description
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## Screenshots (if appropriate):
# Description
Please include a summary of the changes and the related issue. Please
also include relevant motivation and context.
## Checklist before requesting a review
fix/brain-management-shared-brain-access
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## Screenshots (if appropriate):
# Description
New Modules folder with "user" module:
- controller: contains the current route
- entity: contains the current Models (TO be renamed DTO)
- repository: contains the current repo
- service: methods used by other modules
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## Screenshots (if appropriate):
fixed
# Description
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## Screenshots (if appropriate):
# Description
Currently, the production Docker images are very large, sitting at 4.17
GB for the frontend image, and 3.49 GB for backend images. This change
adds multi-stage builds, to optimize the image sizes, which results in
the following improvements:
- frontend image size: 4.17 GB -> 1.64 GB
- backend image size: 3.49 GB -> 1.71 GB
I hope this is appropriate as there is no open issue for this that I
know of.
I implemented this change and tested it locally, and would be glad to
discuss this and open an issue if necessary.
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## Screenshots (if appropriate):
Image sizes before:
<img width="1416" alt="image"
src="https://github.com/StanGirard/quivr/assets/8296549/fcbb020f-8165-4549-ae30-823318691ec6">
Image sizes after:
<img width="1416" alt="image"
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# Description
https://github.com/StanGirard/quivr/issues/1551
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## Screenshots (if appropriate):
are kept only once
# Description
Please include a summary of the changes and the related issue. Please
also include relevant motivation and context.
## Checklist before requesting a review
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my feature works
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## Screenshots (if appropriate):
added loaders and compatibility
# Description
Please include a summary of the changes and the related issue. Please
also include relevant motivation and context.
## Checklist before requesting a review
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## Screenshots (if appropriate):
# Description
- Refactor useSettingsTab by extracting usePrompt and methods in utils
- Fix bug #1545
## Checklist before requesting a review
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## Screenshots (if appropriate):
added limit to 4k for gpt4
# Description
Please include a summary of the changes and the related issue. Please
also include relevant motivation and context.
## Checklist before requesting a review
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- [ ] Any dependent changes have been merged
## Screenshots (if appropriate):
# Description
Please include a summary of the changes and the related issue. Please
also include relevant motivation and context.
## Checklist before requesting a review
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my feature works
- [ ] New and existing unit tests pass locally with my changes
- [ ] Any dependent changes have been merged
## Screenshots (if appropriate):
# Description
Please include a summary of the changes and the related issue. Please
also include relevant motivation and context.
## Checklist before requesting a review
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my feature works
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- [ ] Any dependent changes have been merged
## Screenshots (if appropriate):
# Description
Please include a summary of the changes and the related issue. Please
also include relevant motivation and context.
## Checklist before requesting a review
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my feature works
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## Screenshots (if appropriate):
# Description
Trying to access access 'user identity' attributes as attribute of
dictionary which throws an error since the attributes are actually the
key in the dictionary not an attribute of the dictionary object.
## Checklist before requesting a review
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## Screenshots (if appropriate):
<img width="795" alt="image"
src="https://github.com/StanGirard/quivr/assets/88370405/7db55e74-159c-43e1-b9f7-8384dad9be30">
Co-authored-by: HamzaKhalid-bboxx <127825841+HamzaKhalid-bboxx@users.noreply.github.com>
Co-authored-by: Zineb El Bachiri <100568984+gozineb@users.noreply.github.com>
# Description
Please include a summary of the changes and the related issue. Please
also include relevant motivation and context.
## Checklist before requesting a review
Please delete options that are not relevant.
- [ ] My code follows the style guidelines of this project
- [ ] I have performed a self-review of my code
- [ ] I have commented hard-to-understand areas
- [ ] I have ideally added tests that prove my fix is effective or that
my feature works
- [ ] New and existing unit tests pass locally with my changes
- [ ] Any dependent changes have been merged
## Screenshots (if appropriate):
* fix(brains): get brains on local
* fix(brains): remove comments
---------
Co-authored-by: Zineb El Bachiri <100568984+gozineb@users.noreply.github.com>
* fix(RBAC): skip validation for unplug
* feat(chatSettings): set last config as default
---------
Co-authored-by: Zineb El Bachiri <100568984+gozineb@users.noreply.github.com>
* feat: update GET/brains return status
* feat: add public tag on brain list
* feat: add public tag for public brain on brain settings tab
* feat: hide over tab when brain access is public
* feat(user_management): added user management
* feat(user_management): added user management
* feat(user_management): removed print
* feat: use tanstack query for user data fecthing
* feat: add getUser to sdk
* feat: improve user page ux use tanstack query
* feat: fetch models from backend on brains settings page
* feat: update model selection on chat page
* feat: update tests
---------
Co-authored-by: mamadoudicko <mamadoudicko100@gmail.com>
* 🗃️ Rename users table into user_daily_usage
* 💥 replace User model with UserIdentity model
* 🗃️ New UserDailyUsage class for database interaction
* 🐛 fix daily requests rate limiting per user
* 🐛 fix user stats and properties update
* ✏️ add typing and linting
* 🚚 rename user_dialy_usage Class into user_usage & requests_count into daily_requests_count
* 🚑 fix some rebase errors
* feat(Unplug): Adds new basic headless llm
* feat(Unplug): adds chatting without brain option when no streaming
* feat(Unplug): adds chatting without brain option when streaming
