deploy-main.yaml

# azure-pipelines.yml
# CI/CD: Deploy entire repo to Hugging Face Space (Docker + PDM)
# Space will build from your Dockerfile and run `src/app.py`.

trigger:
  branches:
    include:
      - main

pool:
  vmImage: "ubuntu-latest"

variables:
  - group: HF_TOKEN_NATSAR
  - name: PYTHON_VERSION
    value: "3.10"
  - name: HF_SPACE_ID_PROD
    value: "lucid-hf/lucid-natsar"

steps:
  - checkout: self
    lfs: true

  - script: |
      git lfs install --local
      git lfs pull
    displayName: "Fetch Git LFS assets"

  - task: UsePythonVersion@0
    inputs:
      versionSpec: "$(PYTHON_VERSION)"

  - script: |
      python -m pip install --upgrade pip
      pip install huggingface_hub==0.25.*
      python - <<'PY'
      import os
      from huggingface_hub import HfApi, upload_folder

      token = os.environ["HF_TOKEN"]           # provided via Pipeline variable (Secret)
      space_id = os.environ["HF_SPACE_ID"]     # from variables above

      api = HfApi(token=token)

      # Ensure Space exists and uses Docker
      api.create_repo(
          repo_id=space_id,
          repo_type="space",
          exist_ok=True,
          space_sdk="docker"
      )

      # Upload repo contents (respect ignore patterns to speed builds)
      upload_folder(
          folder_path=".",              # whole repo: Dockerfile, pyproject.toml, src/, models/, etc.
          repo_id=space_id,
          repo_type="space",
          path_in_repo=".",             # put at Space root
          token=token,
          commit_message="CI: deploy Docker/PDM Space",
          ignore_patterns=[
              ".git/*",
              "__pycache__/*",
              "*.zip", "*.tar", "*.tar.gz",
              "*.ipynb", "*.ipynb_checkpoints/*",
              "venv/*", ".venv/*",
              "dist/*", "build/*",
              ".mypy_cache/*", ".pytest_cache/*",
              "annotated_video/*", "annotated_images/*",
              "training_model/*"
          ]
      )
    displayName: "Deploy to Hugging Face Space (Docker/PDM)"
    env:
      HF_TOKEN: $(HF_TOKEN_PROD) # Add this as a secret variable in Pipeline settings
      HF_SPACE_ID: $(HF_SPACE_ID_PROD)