local_converter imports docling at module level, so any test that
touches it crashes when docling is not installed. Skip those tests
with importorskip / skipif so the CI (which only has docling-core)
passes cleanly.
The docling library (torch, transformers) is too heavy for lightweight
CI environments that only install docling-core. Use importorskip so
these tests are cleanly skipped instead of crashing collection.
Adapt test expectations to external changes: upload returns 200,
ValueError yields 400, and schemas now accept both snake_case and
camelCase via AliasChoices.
Cover PDF validation, file size limits, preview generation, page
counting, file deletion with path traversal protection, and the
not-found case — all previously untested code paths.
Lightweight sliding-window per-IP rate limiter (100 req/min default)
with no external dependency. Health endpoint is excluded. Returns 429
with Retry-After header when exceeded. Sufficient for single-process
SQLite deployments; document the Redis upgrade path for scale.
Domain model state transitions, repository CRUD operations, and service
methods now have descriptive docstrings to lower the contribution
barrier for an open-source project.
Read uploaded files in fixed-size chunks instead of a single file.read()
to reduce peak memory pressure. Also enforces the size limit during
streaming so oversized payloads are rejected before fully buffered.
Unbounded asyncio.create_task calls could exhaust CPU and memory on
modest hardware. Add a configurable semaphore (MAX_CONCURRENT_ANALYSES,
default 3) so excess jobs queue instead of running all at once.
All endpoint functions, lifespan context manager, and get_connection now
have explicit return types. Upload endpoint returns 201 Created instead
of 200 to follow REST conventions.
Replace broad `except Exception` with specific types (FileNotFoundError,
PermissionError, OSError) so errors are properly categorized in logs.
Users reporting bugs will get actionable messages instead of generic ones.
UPLOAD_DIR and DB_PATH were read directly from os.environ, bypassing
the Settings dataclass. This caused an inconsistency where overriding
Settings had no effect on these values. Now all modules import from
infra.settings.settings.
domain/ must be pure with no external dependencies. bbox.py imports
docling_core and belongs in infra/. Also refactor ServeConverter to
use the canonical to_topleft_list via BoundingBox instead of
duplicated manual coordinate conversion. Move docling-core to base
requirements since it is now needed in both modes.
Clarify the difference between CONVERSION_MODE (docker-compose
build target) and CONVERSION_ENGINE (runtime variable set
automatically by the Docker target).
Move /health to /api/health on backend and update the frontend
feature flag store to match. Without this, the combined Docker
image nginx proxy could not reach the endpoint and feature flags
(chunking/prepare mode) failed to load.
Install torch and torchvision from the CPU-only index before docling
to avoid pulling CUDA/nvidia/triton dependencies. Update documentation
with measured image sizes (270MB remote, 1.9GB local).
