feat(inspect): add training device selection

[maxxgx]

📝 Description

• Added new device endpoints (remove /models/supported-devices endpoint)

GET /api/inference-devices
{
   devices: ["CPU", "XPU"]
}

GET /api/training-devices
{
   devices: ["CPU", "CUDA"]
}

• Training job payload now supports device selection:

{"project_id":"0f063adb-2191-410c-b509-ecedd463216b","model_name":"patchcore", "device":"cpu"}

✨ Changes

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• 🚀 New feature (non-breaking change which adds functionality)
• 🐞 Bug fix (non-breaking change which fixes an issue)
• 🔄 Refactor (non-breaking change which refactors the code base)
• ⚡ Performance improvements
• 🎨 Style changes (code style/formatting)
• 🧪 Tests (adding/modifying tests)
• 📚 Documentation update
• 📦 Build system changes
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• 🔧 Chore (general maintenance)
• 🔒 Security update
• 💥 Breaking change (fix or feature that would cause existing functionality to not work as expected)

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• 🧪 I have written tests that support my changes and prove that my fix is effective or my feature works (if applicable).
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[Copilot]

Pull Request Overview

This PR adds device selection support for training jobs by introducing separate endpoints for querying inference and training devices, and extending the training job payload to accept an optional device parameter.

• New endpoints for querying available inference and training devices
• Training jobs can now specify device via payload
• Removed deprecated /models/supported-devices endpoint

Reviewed Changes

Copilot reviewed 14 out of 15 changed files in this pull request and generated no comments.

Show a summary per file

File	Description
application/backend/src/utils/devices.py	New utility module for querying available inference and training devices
application/backend/src/pydantic_models/devices.py	New model for device list responses
application/backend/src/api/endpoints/devices_endpoints.py	New endpoints for inference and training device queries
application/backend/src/pydantic_models/job.py	Added optional device field to TrainJobPayload
application/backend/src/services/training_service.py	Updated training logic to accept and use device parameter
application/backend/src/services/model_service.py	Removed get_supported_devices method and related imports
application/backend/src/pydantic_models/model.py	Removed SupportedDevices model
application/backend/src/api/endpoints/model_endpoints.py	Removed supported-devices endpoint
application/backend/src/main.py	Added device_router to application
application/backend/src/core/logging/setup.py	Removed redundant global declaration
application/backend/tests/unit/services/test_training_service.py	Updated mock to accept device parameter
application/backend/tests/unit/services/test_pipeline_service.py	Added train_job_id to test model fixture
application/backend/tests/unit/endpoints/test_models.py	Added train_job_id to test model fixture
application/backend/tests/unit/conftest.py	Added device field to job payload fixture and train_job_id to model fixture

Comments suppressed due to low confidence (1)

application/backend/src/api/endpoints/model_endpoints.py:1

• The endpoint path ':supported-devices' uses POST method but appears to be a read-only operation. The original implementation likely should have used GET method instead of POST.

# Copyright (C) 2025 Intel Corporation

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[Copilot]

Pull Request Overview

Copilot reviewed 14 out of 14 changed files in this pull request and generated 2 comments.

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[Copilot]

Pull Request Overview

Copilot reviewed 15 out of 15 changed files in this pull request and generated 2 comments.

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