In my installation, it appears that `url-request-method` is sometimes set
globally to POST. Need to explicitly set it to ensure that GET is always
used as intended.
- Pass force=true to /update API to force regenerating index from
scratch
- Otherwise calls to the /update API endpoint will result in an
incremental update to index
- Start standardizing implementation of the `text_to_jsonl' processors
- `text_to_jsonl; scripts already had a shared structure
- This change starts to codify that implicit structure
- Benefits
- Ease adding more `text_to_jsonl; processors
- Allow merging shared functionality
- Help with type hinting
- Drawbacks
- Lower agility to change. But this was already an implicit issue as
the text_to_jsonl processors got more deeply wired into the app
- Pillow already supports reading XMP metadata from Images
- Removes need to maintain my fork of unmaintained PyExiftool
- This also removes dependency on system Exiftool package for
XMP metadata extraction
- Add test to verify XMP metadata extracted from test images
- Remove references to Exiftool from Documentation
- To support dispatch, set the image label based on the branch name
- Master build should still be tagged with latest to get benefit of the standard production Docker label
- Simplify tracking khoj query history, saving/sharing links
- Do not execute search, when query only contains whitespaces
- Prevents error when try process results of empty query
- As `/reload` updates index incrementally, it's relatively quick
- This makes exposing `/reload` endpoint a better default to expose
via the web interface than `the /regenerate' endpoint
- For queries with only filters in them short-circuit and return
filtered results. No need to run semantic search, re-ranking.
- Add client test for filter only query and quote query in client tests
- 536f03a Process text content files in sorted order for stable indexing
- a701ad0 Support multiple input-filters to configure content to index via `khoj.yml`
Resolves#84
- Image search already uses a sorted list of images to process
- Prevents index of entries to desync when entries, embeddings
generated by a separate server/app instance
- Update existings code, tests to process input-filters as list
instead of str
- Test `text_to_jsonl' get files methods to work with combination of
`input-files' and `input-filters'
Resolves#84
- Provides more control to invalidate cache on update to entries, embeddings
- Allows logging when results are being returned from cache etc
- FastAPI, Swagger API docs look better as the `search' controller not
wrapped in generically named function when using functools LRU decorator
### Summary
- Set `index_heading_entries` field in `~/.khoj/khoj.yml` to `true` to index entries with empty body
### Main Changes
#### Make Indexing Org-Mode Entries with Empty Body Configurable
- 253c9ea Set `index_heading_entries` field in `khoj.yml` to index entries with no body
### Fix, Improve OrgNode, TextToJsonl Parser
- 9d369ae Fix `OrgNode` render of entries with property drawers and empty body
- 1d3b3d5 Convert field get/set methods in `OrgNode` class to `@property`
- db37e38 Create `OrgNode` `hasBody` method. Use it in `org_to_jsonl` checks
- b4878d7 Extract entries from scratch when regenerate requested
- 52e3dd9 Pass the whole `TextContentConfig` as argument to `text_to_jsonl` methods
- e951ba3 Raise exception when org file not found
Resolves#87
- Issue
- Indent regex was previously catching escape sequences like newlines
- This was resulting in entries with only escape sequences in body to
be prepended to property drawers etc during rendering
- Fix
- Update indent regex to only look for spaces in each line
- Only render body when body contains non-escape characters
- Create test to prevent this regression from silently resurfacing
- Previously heading entries were not indexed to maintain search quality
- But given that there are use-cases for indexing entries with no body
- Add a configurable `index_heading_entries' field to index heading entries
- This `TextContentConfig' field is currently only used for OrgMode content
- Let the specific text_to_jsonl method decide which of the
TextContentConfig fields it needs to convert <text> type to jsonl
- This simplifies extending TextContentConfig for a specific type without
modifying all text_to_jsonl methods
- It keeps the number of args being passed to the `text_to_jsonl'
methods in check
### Major Changes
- 030fab9 Support incremental update of **Markdown** entries, embeddings
- 91aac83 Support incremental update of **Beancount** transactions, embeddings
- 2f7a6af Support incremental update of **Org-Mode** entries, embeddings
- Encode embeddings for updated or new entries
- Reuse embeddings encoded for existing entries earlier
- Merge the existing and new entries and embeddings to get the updated entries, embeddings
- 91d11cc Only hash compiled entry to identify new/updated entries to update
- b9a6e80 Make OrgNode tags stable sorted to find new entries for incremental updates
### Minor Changes
- c17a0fd Do not store word filters index to file. Not necessary for now
- 4eb84c7 Log performance metrics for jsonl conversion
- 2e1bbe0 Fix striping empty escape sequences from strings
### Why
- Encoding embeddings is the slowest step to index content
- Previously we regenerated embeddings for all entries, even if they existed in previous runs
- Reusing previously generated embeddings should significantly speed up index updates,
given most user generated content can be expected to be unchanged across time
Resolves#36
- Previously updates to index required explicitly setting `regenerate=True`
- Now incremental update check made everytime on `text_search.setup` now
- Test if index automatically updates when call `text_search.setup`
with new content even with `regenerate=False`
- It's more of a hassle to not let word filter go stale on entry
updates
- Generating index on 120K lines of notes takes 1s. Loading from file
takes 0.2s. For less content load time difference will be even smaller
- Let go of startup time improvement for simplicity for now
- Comparing compiled entries is the appropriately narrow target to
identify entries that need to encode their embedding vectors. Given we
pass the compiled form of the entry to the model for encoding
- Hashing the whole entry along with it's raw form was resulting in a
bunch of entries being marked for updated as LINE: <entry_line_no>
is a string added to each entries raw format.
- This results in an update to a single entry resulting in all entries
below it in the file being marked for update (as all their line
numbers have changed)
- Log performance metrics for steps to convert org entries to jsonl
- Having Tags as sets was returning them in a different order
everytime
- This resulted in spuriously identifying existing entries as new
because their tags ordering changed
- Converting tags to list fixes the issue and identifies updated new
entries for incremental update correctly
- What
- Hash the entries and compare to find new/updated entries
- Reuse embeddings encoded for existing entries
- Only encode embeddings for updated or new entries
- Merge the existing and new entries and embeddings to get the updated
entries, embeddings
- Why
- Given most note text entries are expected to be unchanged
across time. Reusing their earlier encoded embeddings should
significantly speed up embeddings updates
- Previously we were regenerating embeddings for all entries,
even if they had existed in previous runs
