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fix: make Rust ML Docker build include ONNX runtime assets

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- Add 'download-binaries' feature to ort crate in Cargo.toml to ensure ONNX Runtime binaries are downloaded during build
- Update .dockerignore to allow Machine_Learning/model/model.onnx through build context while still excluding other generated model artifacts (saved_model, tfjs_model, tflite)
- Dockerfile can now successfully copy model.onnx at runtime

Co-Authored-By: Claude Code <noreply@anthropic.com>
This commit is contained in:
Asep Haryana Saputra
2026-05-23 10:44:32 +00:00
co-authored by Claude Code
parent d33f334dc1
commit ba33bc1f23
2 changed files with 2 additions and 1 deletions
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.dockerignore
+1
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@@ -13,6 +13,7 @@ Machine_Learning/dataset
Machine_Learning/dataset.zip Machine_Learning/dataset.zip
Machine_Learning/dataset_*.zip Machine_Learning/dataset_*.zip
Machine_Learning/model Machine_Learning/model
!Machine_Learning/model/model.onnx
Machine_Learning/best_model/* Machine_Learning/best_model/*
!Machine_Learning/best_model/best_model.keras !Machine_Learning/best_model/best_model.keras
apps/web/dist apps/web/dist
apps/ml-service/Cargo.toml
+1 -1
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@@ -8,7 +8,7 @@ anyhow = "1.0"
axum = { version = "0.7", features = ["multipart"] } axum = { version = "0.7", features = ["multipart"] }
image = "0.25" image = "0.25"
ndarray = "0.15" ndarray = "0.15"
ort = "2.0.0-rc.10" ort = { version = "2.0.0-rc.10", features = ["download-binaries"] }
serde = { version = "1.0", features = ["derive"] } serde = { version = "1.0", features = ["derive"] }
serde_json = "1.0" serde_json = "1.0"
tokio = { version = "1.0", features = ["macros", "rt-multi-thread", "net"] } tokio = { version = "1.0", features = ["macros", "rt-multi-thread", "net"] }