## Summary
Fixes#12962
- Adds a two-pass ILIKE fallback to the global search service
(`search.service.ts`)
- **Fast path**: runs the tsvector query first (uses GIN index,
sub-millisecond)
- **Fallback**: only if tsvector returns fewer results than the limit,
runs an ILIKE query on `searchVector::text` to catch cases where
PostgreSQL's `simple` text search config fails to tokenize (continuous
CJK text, etc.)
- Zero performance impact for the common case (Latin text where tsvector
works)
- Also adds `escapeForIlike` utility to properly escape `%`, `_`, `\` in
user input
### Why tsvector fails for CJK
PostgreSQL's `simple` config treats continuous CJK text as a single
lexeme:
- `to_tsvector('simple', '示例商业线索')` → `'示例商业线索':1`
- Searching `商业:*` only prefix-matches from the start, so it misses `商业`
in the middle
The ILIKE fallback catches these substring matches when the tsvector
path can't.
### What this fixes
- Global search (command menu / sidebar)
- Relation picker (single and multi-object)
- Morph relation picker
All three use `search.service.ts` under the hood.
Co-authored-by: mykh-hailo (original direction in #18021)
## Test plan
- [ ] Search `示例` with records `示例商业线索` and `示例-商业-线索` → both should
appear
- [ ] Search `商业` → both should appear (previously only the hyphenated
one did)
- [ ] Search for Latin text (e.g. `john`) → same performance, results
unchanged
- [ ] Relation picker search with CJK text → results appear
- [ ] Search input with special chars like `%` or `_` → no SQL
injection, results correct
Made with [Cursor](https://cursor.com)
---------
Co-authored-by: mykh-hailo <mykh-hailo@users.noreply.github.com>
Co-authored-by: Cursor <cursoragent@cursor.com>
## Summary
Enhanced the search resolver integration tests to comprehensively
validate bidirectional accent-insensitive search functionality. Users
can now search with or without accents and find all relevant records
regardless of how the data was originally stored.
## Changes Made
### Test Data Enhancements
- Added 2 new person IDs: `TEST_PERSON_6_ID`, `TEST_PERSON_7_ID`
- Expanded corpus from 5 to 13 records:
- 7 persons
- 2 companies
- 4 pets
- Refactored test data into single arrays with content-driven variable
naming for better maintainability
### Test Coverage Improvements
- Added 6 comprehensive bidirectional tests covering French, Spanish,
and German characters
- Validated multiple fields:
- `firstName`, `lastName`, `jobTitle`, `email`, `company name`, `pet
name`
- Cross-object search testing across Person, Company, and Pet
- Updated all ranking values to account for the enlarged test corpus (5
→ 13 records)
## Test Cases Added/Updated
- [x] should find both **"José"** and **"Jose"** when searching for
`"jose"` (bidirectional accent-insensitive)
- [x] should find both **"García"** and **"Garcia"** when searching for
`"garcia"` (bidirectional accent-insensitive)
- [x] should find both accented and non-accented **"Café"** / **"Cafe"**
records when searching for `"cafe"` (bidirectional accent-insensitive)
- [x] should find both accented and non-accented **"Naïve"** /
**"Naive"** records when searching for `"naive"` (bidirectional
accent-insensitive)
- [x] should find both **"Müller"** and **"Muller"** when searching for
`"muller"` (bidirectional accent-insensitive)
- [x] should find both **"François"** and **"Francois"** when searching
for `"francois"` (bidirectional accent-insensitive)
Félix Malfait