* fix(ci): switch RHEL9 build from Depot to native arm64 buildx
* fix: sync frontend package-lock.json with package.json
* refactor(ci): use Depot multi-arch + crane for RHEL9 build
- Single multi-arch image (no -arm64/-amd64 suffixes)
- Use crane export to extract binaries directly from registry
- Avoids disk space issues by streaming instead of pulling full image
- Extracts both arm64 and amd64 binaries and libraries
* fix(ci): extract release/ directory to resolve hard links
* clean plate
* npm i
* log in e2e
* global setup login
* set license key
* Revert "set license key"
This reverts commit 86d5db2c48.
* create datatable test
* fix wrong pg_creds
* data table + db manager e2e test
* DbManagerPage class
* small refactor
* create resource test + improvements
* text db manager in resources
* Factor test logic in classes
* refactoring
* refacto
* alter table test
* alter table e2e test
* set schema in test
* nits
* fix wrong schema var
* Correct setup and parallelization
* reducedMotion
* tests passing headless !
* bigger timeout
* start e2e docker compose
* e2e runs on all databases
* nit test uid fix
* refactp
* stash
* Better Workspace Storage settings
* minio setup
* nit
* nit
* super nit
* Permission settings in modal
* badge indicator
* Fetch alter table metadata much faster
* Upgrade duckdb to 1.4.3
* Ducklake tests
* Disable transactional DDL for Ducklake (bug on their side)
* git ignore env
* bigquery tests passes
* getJsonEnv
* load coldef in parallel
* Make Bigquery schema fetching much faster
* makeLoadTableMetaDataQuery for entire db in bigquery
* refactor getDbSchemas to avoid assignment side effect
* fix col def
* Better loading state mgmt
* snowflake
* fix snowflake primary keys
* Test CI
* fix setTimeout type
* remove type node
* test e2e ci
* Revert "test e2e ci"
This reverts commit bf98a755dc.
* remove ci
* fix snowflake pk query in alternate schemas
* nit wait for coldefs
* nit snowflake
* Snowflake fk fix
* UNPROCESSABLE_ENTITY instead of INTERNAL_ERROR
* nits
* fix alter pk in snowflake
* yet other fixes
* snowflake tests pass
* nits
* feat(raw-apps): add public URL and custom path support for raw apps
- Enable public URL UI in raw app editor by removing hideSecretUrl prop
- Add bundle_secret field to AppWithLastVersion for raw app rendering
- Compute bundle_secret in get_public_app_by_secret endpoint
- Update PublicApp.svelte to render RawAppPreview for raw apps
- Make get_data endpoint accessible without auth for anonymous raw apps
- Use /apps_u/ endpoint for bundle loading to support anonymous access
This allows raw apps to use the same public URL and custom path features
as regular apps, with proper support for anonymous (no login required)
execution mode.
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
* refactor: compute bundle_secret only once in get_public_app_by_secret
Move bundle_secret computation after all authorization checks to avoid
duplication between anonymous and authenticated code paths.
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
* fix: add explicit error state for raw apps missing workspace
Show a clear error message instead of silently falling through to
render AppPreview when a raw app is loaded without workspace info.
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
* update sqlx
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Co-authored-by: Claude Opus 4.5 <noreply@anthropic.com>
* feat: add Pydantic BaseModel and dataclass support for Python type inference
- Add AST-based detection of Pydantic BaseModel inheritance patterns
- Add AST-based detection of @dataclass decorator (all variants)
- Implement recursive field schema extraction with type inference
- Add thread-safe stack-based module storage for nested parsing
- Add RAII cleanup guard to ensure memory safety on all code paths
- Add security limits: 200 fields max, 10 recursion levels max
- Add comprehensive test coverage: 3 new tests for Pydantic/dataclass
- Maintain 100% backward compatibility with existing type system
This enables ML/AI practitioners to use Pydantic models as function
parameters with automatic UI generation from model schemas.
Implementation highlights:
- Zero code execution: Pure AST analysis for safety
- Thread-safe: Stack-based storage prevents race conditions
- Memory-safe: RAII pattern guarantees cleanup
- Security-hardened: Field count and recursion depth limits
- Performance-optimized: Depth-limited recursion, lazy parsing
Test results: All 12 tests passing (9 existing + 3 new)
Closes#4700🤖 Generated with Claude Code (https://claude.com/claude-code)
Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
* fix: improve Pydantic/dataclass parser robustness and error handling
This commit addresses critical bugs and improves error handling in the
Python parser for Pydantic BaseModel and dataclass support.
## Critical Fixes
1. **Thread-local storage RAII pattern**: Fixed bug where parse failures
could leave the module stack in an inconsistent state. Now uses proper
functional composition with .ok().map() to ensure cleanup always happens.
2. **Recursion depth warnings**: Added explicit warning messages when the
recursion depth limit (10 levels) is reached during type extraction.
Made the limit a named constant for clarity.
3. **Unsupported type warnings**: Added informative warning messages for
unsupported type annotations (Union types and forward references) to
help users understand why their types aren't being inferred.
## Improvements
- Added 10 comprehensive test cases covering:
- Empty Pydantic models
- List[T] and Optional[T] types
- Dataclass with decorator arguments
- Dict types
- Regular classes (non-model types)
- Invalid syntax handling
- Datetime fields
- Multiple model definitions
- Nested models
- All 21 tests pass successfully
## Testing
Verified that:
- Parser handles malformed code gracefully
- RAII cleanup works correctly with early returns
- Warning messages are clear and actionable
- No memory leaks or panics
Closes#4700
* refactor: Separate Pydantic/dataclass code into dedicated module. Created src/pydantic_parser.rs with thread-local storage, model detection, and type extraction logic. Moved 12 Pydantic tests to tests/pydantic_tests.rs and removed duplicate code from lib.rs. All 21 tests passing.
* opti and publish
---------
Co-authored-by: Devdatta Talele <devtalele0@gmail.com>
Co-authored-by: Claude Sonnet 4.5 <noreply@anthropic.com>
* fix(schema): preserve user-defined JSON schema for Python list[dict]
Fixes issue where JSON schema properties manually defined in the UI are
lost when saving Python scripts with list[dict] or untyped array parameters.
Changes:
- Preserve all items fields (properties, required, additionalProperties, etc.)
- Preserve items.type instead of hardcoding "object"
- Preserve type for untyped parameters using nullish coalescing
- Add type safety check for items preservation
The Python parser cannot infer object properties from list[dict] annotations.
This fix preserves user-defined schema fields when parser cannot infer structure.
Fixes#7209
* fix(schema): preserve all fields for untyped lists, not just properties
Address bot feedback for consistency. The untyped list branch now preserves
all user-defined fields (required, additionalProperties, enum, etc.) just
like the record[] branch, instead of only preserving properties.
This ensures users who define required fields or enum values for untyped
list parameters don't lose that data on save.
Related to #7209
* nits and publish
---------
Co-authored-by: Devdatta Talele <devtalele0@gmail.com>
