- Improve GPT prompt
- Make GPT answer users query based on provided notes instead
of summarizing the provided notes
- Make GPT be truthful using prompt and reduced temperature
- Use Official OpenAI Q&A prompt from cookbook as starting reference
- Replace summarize API with the improved answer API endpoint
- Default to answer type in chat web interface. The chat type is not
fit for default consumption yet
Previous behavior was resulting in a null reference error. As key for
the core content/search type was not present in current config
Fallback to using default config for unconfigured core content type
instead
See #165 for details
- Use emojis to make info logs easier to read
- Inform when khoj is ready to use
- Provide information on what khoj is doing while starting up
- Inform when content/search types and processors are setup
- Inform when models are being loaded from the web as this step can
take time
- Convert all other info logs to be only shown in verbose mode
- Text before headings was not being indexed due to buggy orgnode
parsing logic
- Resolved indexing intro text from files with and without headings in
them
- Ensure intro text node has heading set to all title lines collected
from the file
Resolves#165
- Test /config/types API when no plugin configured, only plugin configured
and no content configured scenarios
- Do not throw null reference exception while configuring search types
when no plugin configured
- Do not throw null reference exception on calling /config/types API
when no plugin configured
Resolves bug introduced by #173
Repro:
1. Open khoj server with `khoj` on first run
2. Install/enable Khoj Obsidian plugin (to configure khoj server)
3. Restart khoj server with `khoj`
Bug:
- Unconfigured processor and search_types are instantiated as None in
self.current_config
- While creating the desktop GUI, these null configs are attempted to
be accessed as valid dictionaries for creating their GUI panels
- This results in the null ref errors
Fix:
Use default config to create their GUI elements for unconfigured
search and processor types
Resolves#167
## Enable Creating Content Plugins
### Goal
Index, Search text content not supported by default in Khoj using plugins
### Code Changes
- fcbbe8c Configure content plugins to index using `khoj.yml`
- Index content plugins from standardized JSONL format for ingestion
- 55a032e Add jsonl processor to index plugin content
- ab0d3a0 Index configured plugins on app start and via update API endpoint
- Expose plugin content types for usage by interfaces
- 47b58a2 Dynamically update available types on loading the Khoj server
- Expose indexed types via API (9d38ead). Simplify getting enabled types in Web (f3f2438), Emacs (1e43f1a) interfaces
- Search plugin content from the Web and Emacs Interfaces
- d91c7e2 Search plugin content via the search API
- Render plugin content on Web (88344f9) and Emacs (c2814fc) interfaces
- The Web, Emacs interfaces are general interfaces, they allow searching across all content types
- The Obsidian interface is currently tuned for only markdown content
It will be extended to render more content plugins later
### Testing
- fcbbe8c Add unit tests to test reading plugin config from khoj.yml
- 55a032e Add unit tests for the `JsonlToJsonl` processor
- 88a9ead Add unit tests to validate search, incremental update, force-update API works with plugin content types
- b09350c Add unit test to validate only configure search types returned by the new /api/config/types API endpoint
- Manually test the config read, indexing, search and update with local khoj
- Previously was return all core content types even if they had not been
setup
- Add test to validate only configured content types are returned by
the api/config/types API endpoint
- Remove need for interfaces to downcase content types returned by API
before using the type in search and other API endpoint
- Fix to check for search_type.name in plugin keys instead of value
Configure app routes after configuring server.
Import API routers after search type is dynamically populated.
Allow API to recognize the dynamically populated plugin search types
as valid type query param.
Enable searching for plugin type content.
- Instead of building the package locally like before
The issue started since moving to dynamic git based versioning with hatch-vcs
This should reduce image size of docker builds too
- Also move to ubuntu image since pyqt6 builds available on it, so do
not need to build it locally for image
- This s
- Remove unneeded type ignore for mps with the latest mypy
- Stop excluding PyQT desktop GUI code from MyPy checks
- Do not warn about unused ignores. Some issue with mypy giving
different errors in different environments (venv, system and pre-commit)
- Run mypy on git push (not every commit) but for all files
- Running it on pre-commit, doesn't make sense as mypy wants to look
at all files, not just diff files
- But this is too time consuming to run every commit, so run on push
- Update development section documentation on installing, manually
running pre-commit for validation that includes running mypy checks
- Why
- pyprojects.toml is the python standards compliant config format
- allows collating python tooling configs into single standard file
- hatch(-ling) is a new lightweight build system for python packages
- Detailed Changes
- Replace setup.py, setuptools with pyproject.toml, hatchling for
khoj python config and build
- move pytest into optional development dependencies
- add more links to khoj in the project urls section
- add topic classifiers and keywords to find khoj package
- Delete setup.py, MANIFEST.in as moved to pyproject.toml based setup
- Update pypi workflow to set python package version in pyproject.toml
- Use Rich to render uvicorn, fastAPI logs as well
The previous CustomFormatter only worked on khoj logs
- Improve rendering stacktrace on errors using Rich
- Use emoji's to improve visual indicator of action step
- Rename to pypi instead of the more ambiguous publish name
Publish could mean publish docker image, publish to pypi, MELPA or
Obsidian plugin
- Update workflow badge, link pypi badge to khoj pypi package page
- Use pypa official github action to upload package to (test) pypi
instead of doing it manually using twine
- Upload python package artifact for easier access for testing.
As uploading to testpypi doesn't work for PRs by others from forked repos
