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https://github.com/mudler/LocalAI.git
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1e0baec2a7
The "Bump Backend dependencies" workflow has failed every night for over ten days. Four upstreams — ced.cpp, moss-transcribe.cpp, voice-detect.cpp and rf-detr.cpp — moved from the mudler org to localai-org, so the GitHub API answers 301 for the old slugs. ced.cpp additionally renamed its default branch to main. bump_deps.sh fetched without -L or -f and never checked the response, so the redirect's JSON body was passed straight to sed, which died with "unterminated `s' command". The loud failure was luck: an error body without slashes would have been substituted into the Makefile as the new pin, silently corrupting the version and shipping it in a bump PR. Point the matrix at the new slugs and branch, and harden the script so a bad response can never reach sed: follow redirects, fail on HTTP errors, and require a bare 40-hex SHA before rewriting anything. Also refresh the now-stale repository URLs in the backend Makefiles, test scripts, backend/index.yaml and the docs. Verified all 25 matrix entries resolve to a commit SHA and that the four previously-failing jobs run end to end against the real API. Assisted-by: Claude:claude-opus-4-8 [Claude Code] Co-authored-by: localai-org-maint-bot <306269227+localai-org-maint-bot@users.noreply.github.com>
48 lines
2.0 KiB
Bash
Executable File
48 lines
2.0 KiB
Bash
Executable File
#!/bin/bash
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set -e
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CURDIR=$(dirname "$(realpath $0)")
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echo "Running locate-anything-cpp backend tests..."
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# Test model from the mudler/locate-anything.cpp-gguf HuggingFace repo. This is
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# the q8_0 quantization of nvidia/LocateAnything-3B (~6.3 GB), so the download
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# is the slow step. It is resumed with `curl -C -` and skipped entirely if the
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# file is already present.
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LOCATEANYTHING_MODEL_DIR="${LOCATEANYTHING_MODEL_DIR:-$CURDIR/test-models}"
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LOCATEANYTHING_MODEL_FILE="${LOCATEANYTHING_MODEL_FILE:-locate-anything-q8_0.gguf}"
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LOCATEANYTHING_MODEL_URL="${LOCATEANYTHING_MODEL_URL:-https://huggingface.co/mudler/locate-anything.cpp-gguf/resolve/main/locate-anything-q8_0.gguf}"
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mkdir -p "$LOCATEANYTHING_MODEL_DIR"
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if [ ! -f "$LOCATEANYTHING_MODEL_DIR/$LOCATEANYTHING_MODEL_FILE" ]; then
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echo "Downloading locate-anything q8_0 model (~6.3 GB, this is slow)..."
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# -C - resumes a partial download so an interrupted run doesn't restart from 0.
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curl -L -C - -o "$LOCATEANYTHING_MODEL_DIR/$LOCATEANYTHING_MODEL_FILE" "$LOCATEANYTHING_MODEL_URL" --progress-bar
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fi
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# Use a real COCO test image (people + cars) from the upstream rf-detr.cpp repo
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# (~46 KB). Open-vocabulary detection needs real content to locate, so a
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# synthetic image would trivially yield zero detections.
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TEST_IMAGE_DIR="$CURDIR/test-data"
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TEST_IMAGE_FILE="$TEST_IMAGE_DIR/test.jpg"
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TEST_IMAGE_URL="${TEST_IMAGE_URL:-https://raw.githubusercontent.com/localai-org/rf-detr.cpp/main/tests/fixtures/ci/test_image.jpg}"
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mkdir -p "$TEST_IMAGE_DIR"
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if [ ! -f "$TEST_IMAGE_FILE" ]; then
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echo "Downloading COCO test image..."
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curl -L -o "$TEST_IMAGE_FILE" "$TEST_IMAGE_URL" --progress-bar
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fi
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echo "locate-anything-cpp test setup complete."
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echo " model: $LOCATEANYTHING_MODEL_DIR/$LOCATEANYTHING_MODEL_FILE"
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echo " test image: $TEST_IMAGE_FILE"
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# Run the Go smoke test: spawns the backend binary on a free port, calls
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# LoadModel + Detect via gRPC against the downloaded GGUF + COCO image.
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echo ""
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echo "Running Go smoke test..."
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cd "$CURDIR"
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go test -v -timeout 30m ./...
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