ImageProcessor.Process used io.ReadAll without a size limit, allowing
arbitrarily large inputs to exhaust memory. Add a configurable
maxInputBytes limit (default 50 MiB, matching the fetcher limit) and
reject inputs that exceed it with ErrInputDataTooLarge.
Also bound the cached source content read in the service layer to
prevent unexpectedly large cached files from consuming unbounded memory.
Extracted loadCachedSource helper to reduce nesting complexity.
- Replace gen2brain/avif, gen2brain/webp, disintegration/imaging with govips
- govips uses libvips via CGO for fast native image processing
- Add libheif-dev to Dockerfile for AVIF support
- Add docker-test Makefile target for running tests in Docker
- Update processor.go to use vips API for decode, resize, encode
- Add TestMain to initialize/shutdown vips in tests
- Remove WASM-based libraries (gen2brain) in favor of native codecs
Performance improvement: AVIF encoding now uses native libheif instead of
WASM, significantly reducing encoding time for large images.
Test verifies that images can be encoded to AVIF format.
Currently fails because AVIF encoding is not implemented.
Removes the rejection test for AVIF output format.
TDD: This test expects WebP encoding to succeed. It currently fails
because WebP encoding is not implemented (returns ErrUnsupportedOutputFormat).
The test will pass once we add the gen2brain/webp library.
Implements the Processor interface using disintegration/imaging library.
Supports JPEG, PNG, GIF, WebP decoding and JPEG, PNG, GIF encoding.
Includes all fit modes: cover, contain, fill, inside, outside.
