From edb0708d0f498eae07fef52ddc36ae8df7273b8b Mon Sep 17 00:00:00 2001 From: Greg Hansen Date: Thu, 30 Apr 2026 11:30:32 -0400 Subject: [PATCH 1/5] Switch to uv packaging tool --- .build-constraints.txt | 19 + .coverage | Bin 0 -> 53248 bytes .github/scripts/convert_notebooks.py | 50 +- .../scripts/export_databricks_notebooks.py | 76 +- .github/workflows/release.yml | 22 +- .github/workflows/test-release.yml | 28 +- .github/workflows/test.yml | 114 +- .pre-commit-config.yaml | 8 +- .python-version | 1 + CONTRIBUTING.md | 27 +- Makefile | 60 +- README.md | 61 +- coverage.xml | 463 ++++++ examples/zipdcm/zip-dicom-demo.ipynb | 2 +- pyproject.toml | 168 +-- .../mqtt/mqtt_streaming.py | 9 +- tests/e2e/conftest.py | 2 +- uv.lock | 1291 +++++++++++++++++ 18 files changed, 2062 insertions(+), 339 deletions(-) create mode 100644 .build-constraints.txt create mode 100644 .coverage create mode 100644 .python-version create mode 100644 coverage.xml create mode 100644 uv.lock diff --git a/.build-constraints.txt b/.build-constraints.txt new file mode 100644 index 0000000..a1fd6cb --- /dev/null +++ b/.build-constraints.txt @@ -0,0 +1,19 @@ +hatchling==1.29.0 \ + --hash=sha256:50af9343281f34785fab12da82e445ed987a6efb34fd8c2fc0f6e6630dbcc1b0 \ + --hash=sha256:793c31816d952cee405b83488ce001c719f325d9cda69f1fc4cd750527640ea6 +packaging==26.0 \ + --hash=sha256:00243ae351a257117b6a241061796684b084ed1c516a08c48a3f7e147a9d80b4 \ + --hash=sha256:b36f1fef9334a5588b4166f8bcd26a14e521f2b55e6b9de3aaa80d3ff7a37529 + # via hatchling +pathspec==1.0.4 \ + --hash=sha256:0210e2ae8a21a9137c0d470578cb0e595af87edaa6ebf12ff176f14a02e0e645 \ + --hash=sha256:fb6ae2fd4e7c921a165808a552060e722767cfa526f99ca5156ed2ce45a5c723 + # via hatchling +pluggy==1.6.0 \ + --hash=sha256:7dcc130b76258d33b90f61b658791dede3486c3e6bfb003ee5c9bfb396dd22f3 \ + --hash=sha256:e920276dd6813095e9377c0bc5566d94c932c33b27a3e3945d8389c374dd4746 + # via hatchling +trove-classifiers==2026.1.14.14 \ + --hash=sha256:00492545a1402b09d4858605ba190ea33243d361e2b01c9c296ce06b5c3325f3 \ + --hash=sha256:1f9553927f18d0513d8e5ff80ab8980b8202ce37ecae0e3274ed2ef11880e74d + # via hatchling diff --git a/.coverage b/.coverage new file mode 100644 index 0000000000000000000000000000000000000000..d254a68650e3cba85a2226ed1d3c0e0c812d5202 GIT binary patch literal 53248 zcmeI5d3;pW*~ibFd+)i=-NPD|0t194l7&Ek1X(2lfv_mxRy52cLo%9VU}l2gey6Uj z?Q2`BLV4-(`r1~DT5YTHN=sYq>#Nq+wr;J~TCJ8+YeB72i%y?2=blSY>8F3er+m&p zCf{@J_MG2&&hO5XA;YTETGIJce0?U{oyfqFu&UAa1Pkpod$D_oi?h>8r&csQUR%eR6r_l!YB}&<{0He zhbo0j^ND0vDxXcXrLz3lU2yuT^H-l5Up@bnmQ&-rFFw(VcCTM$fmm!*)8!4 zQd_D@JA_xur#9z#2c9IA?&x8A#3zP_SH`oc^{H&Cr!AG^QA|v?S6Y>yy4*6#2MkcI zNtMQw$hP5M`-stC$Kjzgug4R$WwPxo`eZiI)7F{FRmBt02-`9k=jJ>gZ8pRv&c^AN(;#hP#Ic zugBneGD6nF2eM1!!KIjcdb^V-`T4!w8`$LF5&XjW%+ZcK+OhdeIM{!AZa!u%50CeV z=@gQ)8RbXy_M|uVrlQHOiXT3*sx*wAOjVo>0yAKoP0JexC;%GY-7P<4Dn=FCV6D8l`eQLE{M1oLOPweMTI(XTf}zwXA3j_un58rd zXDj?>9Fam|CO^hT#is65BG;Q0M)J>0QXFyECB+&Ex8QK94O%{b_|b+F?$=ru0tAL; 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{md_html}
-
''' +""" ) - elif cell['type'] == 'code': + elif cell["type"] == "code": # Create code cell with proper syntax highlighting for Python - escaped_code = html.escape(cell['content']) + escaped_code = html.escape(cell["content"]) html_content.append( - f'''
+ f"""
@@ -89,15 +89,15 @@ def convert_to_html_fragment(filepath):
-
''' +
""" ) # Return just the content fragment (no full HTML document) - fragment_content = '\n'.join(html_content) + fragment_content = "\n".join(html_content) # Write fragment to temp file for the main script to read temp_path = f"temp_{name_without_ext}_fragment.html" - with open(temp_path, 'w') as f: + with open(temp_path, "w") as f: f.write(fragment_content) return name_without_ext, fragment_content @@ -106,7 +106,7 @@ def convert_to_html_fragment(filepath): if __name__ == "__main__": # Process all .py files in notebooks directory notebook_data = {} - for py_file in glob.glob('notebooks/*.py'): + for py_file in glob.glob("notebooks/*.py"): name, fragment = convert_to_html_fragment(py_file) notebook_data[name] = fragment print(f"Converted {py_file} to HTML fragment") @@ -114,5 +114,5 @@ def convert_to_html_fragment(filepath): # Write notebook data to a JSON file for the main script import json - with open('notebook_fragments.json', 'w') as f: + with open("notebook_fragments.json", "w") as f: json.dump(notebook_data, f) diff --git a/.github/scripts/export_databricks_notebooks.py b/.github/scripts/export_databricks_notebooks.py index 66afa6c..fccf13d 100644 --- a/.github/scripts/export_databricks_notebooks.py +++ b/.github/scripts/export_databricks_notebooks.py @@ -12,40 +12,40 @@ import glob # Configuration -DATABRICKS_HOST = os.environ.get('DATABRICKS_HOST', 'https://e2-demo-field-eng.cloud.databricks.com') -DATABRICKS_TOKEN = os.environ.get('DATABRICKS_TOKEN', '') +DATABRICKS_HOST = os.environ.get("DATABRICKS_HOST", "https://e2-demo-field-eng.cloud.databricks.com") +DATABRICKS_TOKEN = os.environ.get("DATABRICKS_TOKEN", "") # Databricks brand colors -COLORS = {'primary': '#FF3621', 'text': '#1B3139', 'bg': '#FFFFFF', 'light_bg': '#F5F5F5', 'border': '#E3E3E3'} +COLORS = {"primary": "#FF3621", "text": "#1B3139", "bg": "#FFFFFF", "light_bg": "#F5F5F5", "border": "#E3E3E3"} def list_workspace_notebooks(): """List all notebooks in the workspace""" - headers = {'Authorization': f'Bearer {DATABRICKS_TOKEN}'} + headers = {"Authorization": f"Bearer {DATABRICKS_TOKEN}"} # You can customize this path based on your workspace structure - workspace_path = '/Workspace/Users' + workspace_path = "/Workspace/Users" response = requests.get( - f"{DATABRICKS_HOST}/api/2.0/workspace/list", headers=headers, params={'path': workspace_path} + f"{DATABRICKS_HOST}/api/2.0/workspace/list", headers=headers, params={"path": workspace_path} ) if response.status_code == 200: - return response.json().get('objects', []) + return response.json().get("objects", []) return [] def export_notebook_html(notebook_path): """Export a single notebook as HTML""" - headers = {'Authorization': f'Bearer {DATABRICKS_TOKEN}'} + headers = {"Authorization": f"Bearer {DATABRICKS_TOKEN}"} response = requests.get( - f"{DATABRICKS_HOST}/api/2.0/workspace/export", headers=headers, params={'path': notebook_path, 'format': 'HTML'} + f"{DATABRICKS_HOST}/api/2.0/workspace/export", headers=headers, params={"path": notebook_path, "format": "HTML"} ) if response.status_code == 200: data = response.json() - html_content = base64.b64decode(data['content']).decode('utf-8') + html_content = base64.b64decode(data["content"]).decode("utf-8") return html_content else: print(f"Failed to export {notebook_path}: {response.status_code}") @@ -58,12 +58,12 @@ def find_notebooks_in_workspace(): local_notebooks = [] # Check for .py notebooks - for py_file in glob.glob('notebooks/*.py'): + for py_file in glob.glob("notebooks/*.py"): name = os.path.splitext(os.path.basename(py_file))[0] local_notebooks.append(name) # Check for .ipynb notebooks - for ipynb_file in glob.glob('notebooks/*.ipynb'): + for ipynb_file in glob.glob("notebooks/*.ipynb"): name = os.path.splitext(os.path.basename(ipynb_file))[0] local_notebooks.append(name) @@ -73,20 +73,20 @@ def find_notebooks_in_workspace(): def create_wrapper_html(notebook_name, notebook_html, all_notebooks): """Create consistent wrapper for notebook HTML""" # Extract body content - body_match = re.search(r']*>(.*?)', notebook_html, re.DOTALL) + body_match = re.search(r"]*>(.*?)", notebook_html, re.DOTALL) body_content = body_match.group(1) if body_match else notebook_html # Extract styles style_content = "" - style_matches = re.findall(r']*>(.*?)', notebook_html, re.DOTALL) + style_matches = re.findall(r"]*>(.*?)", notebook_html, re.DOTALL) for style in style_matches: style_content += style + "\n" - repo_name = os.environ.get('GITHUB_REPOSITORY', '').split('/')[-1] - title = ' '.join(word.capitalize() for word in repo_name.split('-')) + ' Accelerator' - display_name = notebook_name.replace('_', ' ').title() + repo_name = os.environ.get("GITHUB_REPOSITORY", "").split("/")[-1] + title = " ".join(word.capitalize() for word in repo_name.split("-")) + " Accelerator" + display_name = notebook_name.replace("_", " ").title() - html = f''' + html = f""" {display_name} - {title} @@ -295,15 +295,15 @@ def create_wrapper_html(notebook_name, notebook_html, all_notebooks):

📚 Documentation

Overview

📓 Notebooks

-''' +""" # Add notebook links for nb in sorted(all_notebooks): - nb_display = nb.replace('_', ' ').title() - active = 'active' if nb == notebook_name else '' + nb_display = nb.replace("_", " ").title() + active = "active" if nb == notebook_name else "" html += f' {nb_display}\n' - html += f''' + html += f"""
@@ -312,14 +312,14 @@ def create_wrapper_html(notebook_name, notebook_html, all_notebooks):
-''' +""" return html def main(): """Main export function""" - os.makedirs('site', exist_ok=True) + os.makedirs("site", exist_ok=True) # Find notebooks to export notebooks = find_notebooks_in_workspace() @@ -328,8 +328,8 @@ def main(): # For now, use a mapping of local to workspace paths # In production, this could be automated or configured notebook_mappings = { - 'notebook1': '/path/to/workspace/notebook1', - 'notebook2': '/path/to/workspace/notebook2', + "notebook1": "/path/to/workspace/notebook1", + "notebook2": "/path/to/workspace/notebook2", } exported = [] @@ -340,7 +340,7 @@ def main(): html = export_notebook_html(workspace_path) if html: wrapped = create_wrapper_html(notebook, html, notebooks) - with open(f'site/{notebook}.html', 'w') as f: + with open(f"site/{notebook}.html", "w") as f: f.write(wrapped) exported.append(notebook) print(f"Successfully exported {notebook}") @@ -351,14 +351,14 @@ def main(): import markdown readme_content = "" - if os.path.exists('README.md'): - with open('README.md', 'r') as f: + if os.path.exists("README.md"): + with open("README.md", "r") as f: readme_content = markdown.markdown(f.read()) - repo_name = os.environ.get('GITHUB_REPOSITORY', '').split('/')[-1] - title = ' '.join(word.capitalize() for word in repo_name.split('-')) + ' Accelerator' + repo_name = os.environ.get("GITHUB_REPOSITORY", "").split("/")[-1] + title = " ".join(word.capitalize() for word in repo_name.split("-")) + " Accelerator" - index_html = f''' + index_html = f""" {title} @@ -526,15 +526,15 @@ def main():

📚 Documentation

Overview -''' +""" if exported: index_html += '

📓 Notebooks

\n' for nb in sorted(exported): - nb_display = nb.replace('_', ' ').title() + nb_display = nb.replace("_", " ").title() index_html += f' {nb_display}\n' - index_html += f''' + index_html += f"""
@@ -543,14 +543,14 @@ def main():
-''' +""" - with open('site/index.html', 'w') as f: + with open("site/index.html", "w") as f: f.write(index_html) print(f"Created index.html with {len(exported)} notebooks") return len(exported) -if __name__ == '__main__': +if __name__ == "__main__": main() diff --git a/.github/workflows/release.yml b/.github/workflows/release.yml index a1ca1ee..06f2dc1 100644 --- a/.github/workflows/release.yml +++ b/.github/workflows/release.yml @@ -5,6 +5,9 @@ on: {} # tags: # - 'v[0-9]+.[0-9]+.[0-9]+' +permissions: + contents: read + jobs: release: runs-on: ubuntu-latest @@ -15,28 +18,29 @@ jobs: steps: - name: Checkout uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd - - name: Setup Python - uses: actions/setup-python@a309ff8b426b58ec0e2a45f0f869d46889d02405 + + - name: Setup uv + uses: astral-sh/setup-uv@5a095e7a2014a4212f075830d4f7277575a9d098 with: - cache: 'pip' - cache-dependency-path: '**/pyproject.toml' - python-version: '3.12' + version: "0.11.2" + - name: Build wheels - run: | - pip install hatch - hatch build + run: make build + - name: GitHub release uses: softprops/action-gh-release@a06a81a03ee405af7f2048a818ed3f03bbf83c7b with: files: | dist/python_data_sources-*.whl dist/python_data_sources-*.tar.gz + - name: Publish distributions to PyPI uses: pypa/gh-action-pypi-publish@ed0c53931b1dc9bd32cbe73a98c7f6766f8a527e + - name: Sign artifacts with Sigstore uses: sigstore/gh-action-sigstore-python@f514d46b907ebcd5bedc05145c03b69c1edd8b46 with: inputs: | dist/python_data_sources-*.whl dist/python_data_sources-*.tar.gz - release-signing-artifacts: true \ No newline at end of file + release-signing-artifacts: true diff --git a/.github/workflows/test-release.yml b/.github/workflows/test-release.yml index c9b1313..09ce8ff 100644 --- a/.github/workflows/test-release.yml +++ b/.github/workflows/test-release.yml @@ -5,7 +5,10 @@ on: branches: - 'build_tooling' - '!main' - workflow_dispatch: # Allow manual trigger + workflow_dispatch: + +permissions: + contents: read jobs: test-release: @@ -14,16 +17,16 @@ jobs: permissions: id-token: write contents: read - + steps: - name: Checkout uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd - - name: Setup Python - uses: actions/setup-python@a309ff8b426b58ec0e2a45f0f869d46889d02405 + + - name: Setup uv + uses: astral-sh/setup-uv@5a095e7a2014a4212f075830d4f7277575a9d098 with: - cache: 'pip' - cache-dependency-path: '**/pyproject.toml' - python-version: '3.12' + version: "0.11.2" + - name: Generate dev version id: version run: | @@ -33,20 +36,21 @@ jobs: echo "version=$DEV_VERSION" >> $GITHUB_OUTPUT echo "Generated version: $DEV_VERSION" sed -i "s/version = \"${BASE_VERSION}\"/version = \"${DEV_VERSION}\"/" pyproject.toml + - name: Build wheels - run: | - pip install hatch - hatch build + run: make build + - name: Publish to TestPyPI uses: pypa/gh-action-pypi-publish@ed0c53931b1dc9bd32cbe73a98c7f6766f8a527e with: repository-url: https://test.pypi.org/legacy/ verbose: true print-hash: true + - name: Test installation from TestPyPI run: | sleep 180 - pip install --index-url https://test.pypi.org/simple/ \ + uv pip install --index-url https://test.pypi.org/simple/ \ --extra-index-url https://pypi.org/simple/ \ python-data-sources==${{ steps.version.outputs.version }} - python -c "import python_data_sources; print('Import successful!')" \ No newline at end of file + uv run python -c "import python_data_sources; print('Import successful!')" diff --git a/.github/workflows/test.yml b/.github/workflows/test.yml index 20fb403..f7a31fc 100644 --- a/.github/workflows/test.yml +++ b/.github/workflows/test.yml @@ -11,20 +11,49 @@ permissions: contents: read jobs: - # NOTE: Ensures code is properly formatted + verify-lock: + runs-on: ubuntu-latest + steps: + - name: Checkout + uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd + + - name: Verify uv.lock has no private registry URLs + run: make verify-lock + + build-check: + runs-on: ubuntu-latest + steps: + - name: Checkout + uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd + + - name: Setup uv + uses: astral-sh/setup-uv@5a095e7a2014a4212f075830d4f7277575a9d098 + with: + version: "0.11.2" + + - name: Build wheels with hash-pinned constraints + run: make build + fmt: runs-on: ubuntu-latest steps: - name: Checkout uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd + - name: Setup uv + uses: astral-sh/setup-uv@5a095e7a2014a4212f075830d4f7277575a9d098 + with: + version: "0.11.2" + + - name: Initialize the project + run: make dev + - name: Format all files - run: make dev fmt + run: make fmt - name: Fail on differences run: git diff --exit-code - # NOTE: Detects newly created or modified data sources detect-changes: runs-on: ubuntu-latest outputs: @@ -59,7 +88,6 @@ jobs: echo "Submodules to test: ${{ steps.check.outputs.submodules }}" echo "Has changes: ${{ steps.check.outputs.has-changes }}" - # NOTE: Runs tests of the created or modified data sources; Tests of unmodified data sources are skipped for convenience test: needs: detect-changes if: needs.detect-changes.outputs.has-changes == 'true' @@ -71,74 +99,63 @@ jobs: submodule: ${{ fromJSON(needs.detect-changes.outputs.submodules) }} python-version: ['3.12'] + env: + UV_PYTHON: "${{ matrix.python-version }}" + steps: - name: Checkout code uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd - - name: Set up Python ${{ matrix.python-version }} - uses: actions/setup-python@a309ff8b426b58ec0e2a45f0f869d46889d02405 + - name: Setup uv + uses: astral-sh/setup-uv@5a095e7a2014a4212f075830d4f7277575a9d098 with: - python-version: ${{ matrix.python-version }} + version: "0.11.2" - - name: Install Hatch - run: | - pip install --upgrade pip - pip install hatch + - name: Initialize the project + run: make dev - name: Run tests for ${{ matrix.submodule }} env: SUBMODULE: ${{ matrix.submodule }} - run: | - echo "Running tests for ${SUBMODULE}" - hatch run "test-${SUBMODULE}:test" + run: make test-module MODULE="${SUBMODULE}" - # NOTE: Runs all tests on push to the main branch test-all: needs: detect-changes if: github.event_name == 'push' && github.ref == 'refs/heads/main' runs-on: ubuntu-latest - strategy: - fail-fast: false - matrix: - python-version: ['3.12'] + env: + UV_PYTHON: "3.12" steps: - name: Checkout code uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd - - name: Set up Python ${{ matrix.python-version }} - uses: actions/setup-python@a309ff8b426b58ec0e2a45f0f869d46889d02405 + - name: Setup uv + uses: astral-sh/setup-uv@5a095e7a2014a4212f075830d4f7277575a9d098 with: - python-version: ${{ matrix.python-version }} + version: "0.11.2" - - name: Install Hatch - run: | - pip install --upgrade pip - pip install hatch + - name: Initialize the project + run: make dev - name: Run all tests - run: | - echo "Running MCAP tests..." - hatch run test-mcap:test - - echo "Running MQTT tests..." - hatch run test-mqtt:test - - echo "Running ZipDCM tests..." - hatch run test-zipdcm:test + run: make test test-summary: needs: [detect-changes, test, test-all] if: always() runs-on: ubuntu-latest + env: + HAS_CHANGES: ${{ needs.detect-changes.outputs.has-changes }} + SUBMODULES: ${{ needs.detect-changes.outputs.submodules }} steps: - name: Check test results run: | echo "Test workflow completed" - echo "Changes detected: ${{ needs.detect-changes.outputs.has-changes }}" - echo "Submodules tested: ${{ needs.detect-changes.outputs.submodules }}" + echo "Changes detected: ${HAS_CHANGES}" + echo "Submodules tested: ${SUBMODULES}" if [ "${{ needs.test.result }}" = "failure" ] || [ "${{ needs.test-all.result }}" = "failure" ]; then echo "Some tests failed!" @@ -147,32 +164,29 @@ jobs: echo "All tests passed!" fi - # NOTE: Tests any example notebooks in '/examples' by running them in a test workspace; Will not be run from forks (e.g. from external contributors) e2e: if: github.event_name == 'pull_request' && !github.event.pull_request.draft && !github.event.pull_request.head.repo.fork runs-on: ubuntu-latest + + env: + UV_PYTHON: "3.12" + steps: - name: Checkout code uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd with: fetch-depth: 0 - - name: Set up Python - uses: actions/setup-python@a309ff8b426b58ec0e2a45f0f869d46889d02405 + - name: Setup uv + uses: astral-sh/setup-uv@5a095e7a2014a4212f075830d4f7277575a9d098 with: - cache: 'pip' - cache-dependency-path: '**/pyproject.toml' - python-version: '3.12' + version: "0.11.2" - - name: Install Hatch - run: | - pip install --upgrade pip - pip install hatch + - name: Initialize the project + run: make dev - name: Run e2e Tests - run: | - echo "Running e2e tests..." - hatch run test-all:e2e + run: make e2e env: REF_NAME: ${{ github.ref_name }} DATABRICKS_HOST: ${{ secrets.DATABRICKS_HOST }} diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml index 43ab29a..5de47bc 100644 --- a/.pre-commit-config.yaml +++ b/.pre-commit-config.yaml @@ -7,19 +7,19 @@ repos: language: system types: [ python ] require_serial: true - files: ^(src/python_data_sources/zipdcm/|tests/unit/zipdcm/) + files: ^(src/python_data_sources/|tests/) - id: isort args: [--combine-as] name: isort entry: isort language: system types: [ python ] - files: ^(src/python_data_sources/zipdcm/|tests/unit/zipdcm/) + files: ^(src/python_data_sources/|tests/) require_serial: true - id: black name: black - entry: black --line-length 100 + entry: black --line-length 120 language: system types: [ python ] require_serial: true - files: ^(src/python_data_sources/zipdcm/|tests/unit/zipdcm/) + files: ^(src/python_data_sources/|tests/) diff --git a/.python-version b/.python-version new file mode 100644 index 0000000..e4fba21 --- /dev/null +++ b/.python-version @@ -0,0 +1 @@ +3.12 diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md index c664dd5..e6ba67f 100644 --- a/CONTRIBUTING.md +++ b/CONTRIBUTING.md @@ -17,16 +17,16 @@ If you are contributing on behalf of an organization, you confirm that you have 1. Each data source should function independently of other data sources. 2. Each data source should be implemented in a subfolder of `/src`, e.g. `src/python_data_sources/zipdcm`. The folder name should be the shortname of your data source. 3. Each data source must implement tests in a subfolder of `/tests`, e.g. `/tests/unit/zipdcm`. The folder name should be the shortname of the data source. -4. Each data source must list dependencies in its own section of `project.optional-dependencies` in `pyproject.toml`. -5. Each data source must specify its own development and test environment in the `tools.hatch.envs` section of `pyproject.toml`. This includes any dependencies and pytest commands necessary to run tests. -6. Each data source must include a `README.md` which describes the data source and shows example usage. -7. Each data source must include a `-demo.py` demo notebook which details example usage. -8. Each data source must include a `LICENSE.md` file approved by Databricks' legal team. Use open source subcomponents whenever possible. If proprietary components (e.g. external libraries) are required, provide a downloader method. Do not package proprietary components into data sources. -9. Each data source must provide BYOL ("Bring Your Own Lineage"). This should distinguish the data sources from sources for other platforms. +4. Each data source must list its runtime and test dependencies in `[project.optional-dependencies]` in `pyproject.toml`. Tests for a single data source are run via `make test-module MODULE=`, which invokes `pytest tests/unit/`; no per-source environment configuration is required. +5. After changing dependencies, regenerate `uv.lock` and `.build-constraints.txt` with `make lock` (not `uv lock` directly) so that any private registry URLs are stripped before commit and the build-system requirements stay hash-pinned. CI runs `make verify-lock` and `make build` to enforce this. +6. Each data source must include a `README.md` which describes the data source and shows example usage. +7. Each data source must include a `-demo.py` demo notebook which details example usage. +8. Each data source must include a `LICENSE.md` file approved by Databricks' legal team. Use open source subcomponents whenever possible. If proprietary components (e.g. external libraries) are required, provide a downloader method. Do not package proprietary components into data sources. +9. Each data source must provide BYOL ("Bring Your Own Lineage"). This should distinguish the data sources from sources for other platforms. 10. Each data source's capabilities should be summarized and added to the main `README.md` Add check marks for specific capabilities (e.g. :check:Read :check:Write :check:Readstream :check:Writestream) -11. Each data source's compute requirements, environment requirements, and any limitations should be documented in its `README.md` and demo notebook. -12. All public methods should have Python docstrings. Format docstrings using the standards detailed in the [Google Python style guide](https://google.github.io/styleguide/pyguide.html#38-comments-and-docstrings). -13. Error & Exception handling is critical. Exceptions must include a helpful message but must mask sensitive data (e.g. connection strings or credentials). +11. Each data source's compute requirements, environment requirements, and any limitations should be documented in its `README.md` and demo notebook. +12. All public methods should have Python docstrings. Format docstrings using the standards detailed in the [Google Python style guide](https://google.github.io/styleguide/pyguide.html#38-comments-and-docstrings). +13. Error & Exception handling is critical. Exceptions must include a helpful message but must mask sensitive data (e.g. connection strings or credentials). 14. All code must pass formatting and linting before it can be merged into the main repository. Run `make fmt` locally to validate code formatting. ### Adding a Data Source @@ -35,7 +35,7 @@ To add a new data source (shortname ``): 1. Create `src/python_data_sources//` and add the data source implementation, along with `__init__.py`, `README.md`, and `LICENSE.md`. 2. Create `tests/unit//` and add unit tests covering the implementation. 3. Create `examples//` with a `-demo` notebook, and `tests/e2e//` with an end-to-end notebook test that runs the demo in a Databricks workspace. -4. In `pyproject.toml`, add a `` entry to `[project.optional-dependencies]`, a `[tool.hatch.envs.test-]` section declaring the module's dependencies, and a matching `[tool.hatch.envs.test-.scripts]` section defining at least `test = "pytest tests/unit/ -v {args}"`. +4. In `pyproject.toml`, add a `` entry to `[project.optional-dependencies]` listing the module's runtime and test dependencies, then run `make lock` to refresh `uv.lock`. Verify the matrix locally with `make test-module MODULE=`. 5. Add `` to `ALLOWED_SUBMODULES` in `.github/scripts/detect_changed_submodules.sh` so the CI test matrix picks it up. 6. Update `README.md` (capabilities table and data source summary) and `INSTALL.md` (install instructions for the new optional dependency group). @@ -46,6 +46,7 @@ If you'd like to contribute to `python-data-sources`, please create a pull reque 2. Clone your forked repository locally (`git clone `) 3. Update from the main branch (`git checkout main && git pull`) 4. Create a branch for your changes (`git checkout -b `) -5. Once your changes are finished, run `make fmt` in your IDE terminal and fix any reported issues -6. Commit and push your changes (`git commit -S -a -m " && git push origin `) -7. Open your PR using the GitHub web UI or CLI +5. Install development dependencies with `make dev` (uses [uv](https://docs.astral.sh/uv/)) +6. Once your changes are finished, run `make fmt` in your IDE terminal and fix any reported issues +7. Commit and push your changes (`git commit -S -a -m " && git push origin `) +8. Open your PR using the GitHub web UI or CLI diff --git a/Makefile b/Makefile index 44edb61..d06539d 100644 --- a/Makefile +++ b/Makefile @@ -1,19 +1,57 @@ -all: clean dev fmt +.PHONY: all clean dev fmt lint test coverage lock verify-lock build + +all: clean lint fmt test + +export UV_FROZEN := 1 + +UV_RUN := uv run --exact --all-extras clean: - rm -fr .venv clean .pytest_cache .ruff_cache .coverage coverage.xml - rm -fr **/*.pyc + rm -fr .venv clean htmlcov .pytest_cache .ruff_cache .coverage coverage.xml dist + find . -name '__pycache__' -print0 | xargs -0 rm -fr + +dev: + uv sync --all-extras + +lock-dependencies: export UV_FROZEN := 0 +lock-dependencies: + uv lock --exclude-newer "7 days" + $(UV_RUN) python -c 'import tomllib; print("\n".join(tomllib.load(open("pyproject.toml","rb"))["build-system"]["requires"]))' | \ + uv pip compile --generate-hashes --universal --no-header - > .build-constraints-new.txt + mv .build-constraints-new.txt .build-constraints.txt + perl -pi -e 's|registry = "https://[^"]*"|registry = "https://pypi.org/simple"|g' uv.lock -.venv/bin/python: - pip install hatch - hatch env create - hatch run pip install ".[all]" +build: + uv build --require-hashes --build-constraints=.build-constraints.txt -dev: .venv/bin/python - @hatch run which python +verify-lock: + @bad=$$(grep -nE 'registry = "https?://' uv.lock | grep -v 'https://pypi\.org/simple' || true); \ + if [ -n "$$bad" ]; then \ + echo "uv.lock contains non-public registry URLs:"; \ + echo "$$bad"; \ + echo "Run 'make lock' to regenerate and sanitize."; \ + exit 1; \ + fi + +lint: + $(UV_RUN) ruff format --check --diff + $(UV_RUN) ruff check . + $(UV_RUN) pylint --output-format=colorized -j 0 src tests fmt: - hatch run fmt + $(UV_RUN) ruff format + $(UV_RUN) ruff check . --fix + $(UV_RUN) pylint --output-format=colorized -j 0 src tests test: - hatch run test \ No newline at end of file + $(UV_RUN) pytest -v --cov src --cov-report=xml --timeout 30 tests/unit + +test-module: + $(UV_RUN) pytest -v --cov src/python_data_sources/$(MODULE) --cov-report=xml --timeout 30 tests/unit/$(MODULE) + +coverage: + $(UV_RUN) pytest --cov src --cov-report=html --timeout 30 tests/unit + open htmlcov/index.html + +e2e: + $(UV_RUN) pytest -rs --timeout 30 tests/e2e diff --git a/README.md b/README.md index 713349c..9e6b0a3 100644 --- a/README.md +++ b/README.md @@ -6,11 +6,11 @@ Introduced in Spark 4.x, Python Data Source API allows you to create PySpark Data Sources leveraging long standing python libraries for handling unique file types or specialized interfaces with spark read, readStream, write and writeStream APIs. -| Data Source Name | Purpose | -|----------------------------------------------------|-----------------------------------------| -| [mcap](src/python_data_sources/mcap/README.md) | Read MCAP (ROS 2 bag) files | -| [mqtt](src/python_data_sources/mqtt/README.md) | Stream data from MQTT brokers | -| [zipdcm](src/python_data_sources/zipdcm/README.md) | Read DICOM files from Zip file archives | +| Data Source Name | Purpose | +|-------------------------------------|-----------------------------------------| +| [mcap](#mcap-data-source) | Read MCAP (ROS 2 bag) files | +| [mqtt](#mqtt-streaming-data-source) | Stream data from MQTT brokers | +| [zipdcm](#zipdcm-data-source) | Read DICOM files from Zip file archives | ## Installation @@ -47,9 +47,11 @@ from python_data_sources.mcap import MCAPDataSource spark = SparkSession.builder.getOrCreate() spark.dataSource.register(MCAPDataSource) -df = spark.read.format("mcap") +df = ( + spark.read.format("mcap") .option("path", "/path/to/data.mcap") .load() +) ``` ### MQTT Streaming Data Source @@ -61,10 +63,12 @@ from python_data_sources.mqtt import MqttDataSource spark = SparkSession.builder.getOrCreate() spark.dataSource.register(MqttDataSource) -df = spark.readStream.format("mqtt_pub_sub") \ - .option("broker_address", "mqtt.example.com") \ - .option("topic", "sensors/#") \ +df = ( + spark.readStream.format("mqtt_pub_sub") + .option("broker_address", "mqtt.example.com") + .option("topic", "sensors/#") .load() +) ``` ### ZipDCM Data Source @@ -76,36 +80,33 @@ from python_data_sources.zipdcm import ZipDCMDataSource spark = SparkSession.builder.getOrCreate() spark.dataSource.register(ZipDCMDataSource) -df = spark.read.format("zipdcm") \ +df = ( + spark.read.format("zipdcm") .load("/path/to/dicom_files.zip") +) ``` ## Development -This project uses [Hatch](https://hatch.pypa.io/) for build and environment management. +This project uses [uv](https://docs.astral.sh/uv/) for build and environment management. ### Setup ```bash -# Install hatch -pip install hatch +# Install uv +brew install uv # Create development environment -hatch env create +make dev ``` ### Running Tests ```bash # Run tests for a specific submodule -hatch run test-mcap:test -hatch run test-mqtt:test -hatch run test-zipdcm:test - -# Run tests with coverage -hatch run test-mcap:cov -hatch run test-mqtt:cov -hatch run test-zipdcm:cov +make test-module MODULE=mcap +make test-module MODULE=mqtt +make test-module MODULE=zipdcm ``` ### Project Structure @@ -141,10 +142,12 @@ See [CONTRIBUTING.md](https://github.com/databricks-industry-solutions/python-da © 2025 Databricks, Inc. All rights reserved. The source in this project is provided subject to the Databricks License [https://databricks.com/db-license-source]. All included or referenced third party libraries are subject to the licenses set forth below. -| Datasource | Package | Purpose | License | Source | -| ---------- | ---------- | --------------------------------- |---------------------------|---------------------------------------------| -| mcap | mcap | Python API for MCAP files | MIT | https://github.com/foxglove/mcap | -| mcap | mcap-protobuf-support | Protobuf schema support | MIT | https://github.com/foxglove/mcap | -| mqtt | paho-mqtt | MQTT client library | EPL-2.0 / EDL-1.0 (BSD-3) | https://github.com/eclipse/paho.mqtt.python | -| zipdcm | pydicom | Python API for DICOM files | MIT | https://github.com/pydicom/pydicom | -| zipdcm | pylibjpeg | Decoding / Encoding pixel formats | MIT | https://github.com/pydicom/pylibjpeg | +| Datasource | Package | Purpose | License | Source | +| ---------- |-----------------------|------------------------------------------|-----------------------------|-----------------------------------------------| +| mcap | mcap | Python API for MCAP files | MIT | https://github.com/foxglove/mcap | +| mcap | mcap-protobuf-support | Protobuf schema support | MIT | https://github.com/foxglove/mcap | +| mqtt | paho-mqtt | MQTT client library | EPL-2.0 / EDL-1.0 (BSD-3) | https://github.com/eclipse/paho.mqtt.python | +| zipdcm | pydicom | Python API for DICOM files | MIT | https://github.com/pydicom/pydicom | +| zipdcm | pylibjpeg | Decoding / Encoding pixel formats | MIT | https://github.com/pydicom/pylibjpeg | +| zipdcm | pylibjpeg-openjpeg | J2K, JP2, and HTJ2K plugin for pylibjpeg | MIT | https://github.com/pydicom/pylibjpeg-openjpeg | +| zipdcm | pylibjpeg-rle | RLE plugin for pylibjpeg | MIT | https://github.com/pydicom/pylibjpeg-rle | diff --git a/coverage.xml b/coverage.xml new file mode 100644 index 0000000..4f4ca97 --- /dev/null +++ b/coverage.xml @@ -0,0 +1,463 @@ + + + + + + /Users/gregory.hansen/Documents/GitHub/databricks-industry-solutions/python-data-sources/src + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + diff --git a/examples/zipdcm/zip-dicom-demo.ipynb b/examples/zipdcm/zip-dicom-demo.ipynb index 43a2dbe..1405991 100644 --- a/examples/zipdcm/zip-dicom-demo.ipynb +++ b/examples/zipdcm/zip-dicom-demo.ipynb @@ -23,7 +23,7 @@ "- Recommend DBR 17.1 (Apache Spark 4.0) dedicated compute\n", "- Shared cluster compute compatible\n", "- Working on serverless compute fix.\n", - "- Requires `pydicom==3.0.1 pylibjpeg[all]>=2.0.1`\n", + "- Requires `pydicom==3.0.1 pylibjpeg==2.1.0, pylibjpeg-openjpeg==2.5.0, pylibjpeg-rle==2.1.0`\n", "\n", "### Synthetic PHI data source citation\n", "Rutherford, M. W., Nolan, T., Pei, L., Wagner, U., Pan, Q., Farmer, P., Smith, K., Kopchick, B., Laura Opsahl-Ong, Sutton, G., Clunie, D. A., Farahani, K., & Prior, F. (2025). Data in Support of the MIDI-B Challenge (MIDI-B-Synthetic-Validation, MIDI-B-Curated-Validation, MIDI-B-Synthetic-Test, MIDI-B-Curated-Test) (Version 1) [Dataset]. The Cancer Imaging Archive. https://doi.org/10.7937/CF2P-AW56 " diff --git a/pyproject.toml b/pyproject.toml index 615b874..3c7ac3f 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,14 +1,10 @@ -[build-system] -requires = ["hatchling == 1.29.0"] -build-backend = "hatchling.build" - [project] name = "python-data-sources" version = "0.1.0" description = "A collection of custom PySpark data source connectors for various formats" readme = "README.md" license-files = { paths = ["LICENSE.md", "NOTICE.md"] } -requires-python = ">=3.12" +requires-python = ">=3.12,<3.14" authors = [ { name = "Databricks Industry Solutions", email = "industry-solutions@databricks.com" }, ] @@ -19,7 +15,6 @@ classifiers = [ "Programming Language :: Python :: 3", "Programming Language :: Python :: 3.12", "Programming Language :: Python :: 3.13", - "Programming Language :: Python :: 3.14", "Operating System :: OS Independent", ] dependencies = [ @@ -48,151 +43,52 @@ all = [ "python-data-sources[mqtt]", "python-data-sources[zipdcm]", ] -dev = [ - "pytest>=8.3.3,<8.4", - "pytest-cov>=7.0.0,<7.1.0", - "pytest-mock>=3.10.0,<3.11", - "black>=25.9.0,<25.10", - "isort>=8.0.0,<8.0.1", - "pre-commit>=4.0.0,<4.1", -] - [project.urls] Homepage = "https://github.com/databricks-industry-solutions/python-data-sources" Repository = "https://github.com/databricks-industry-solutions/python-data-sources" Issues = "https://github.com/databricks-industry-solutions/python-data-sources/issues" +[build-system] +requires = ["hatchling == 1.29.0"] +build-backend = "hatchling.build" + [tool.hatch.build.targets.wheel] packages = ["src/python_data_sources"] -# ============================================================================= -# Hatch Environments - One test environment per submodule -# ============================================================================= - -[tool.hatch.envs.default] -python = "3.12" - -path = ".venv" - -dependencies = [ - "black~=24.8.0", - "databricks-labs-blueprint>=0.9.1,<0.10", +[dependency-groups] +dev = [ + { include-group = "lint" }, + { include-group = "test" }, + { include-group = "e2e" }, +] +lint = [ "databricks-labs-pylint~=0.5", - "databricks-labs-pytester~=0.7.4", - "databricks-sdk~=0.88", - "mcap>=1.3.0", - "mcap-protobuf-support>=0.5.3", - "paho-mqtt>=2.1.0", - "protobuf>=6.33.0", - "pydicom>=3.0.1", - "pylibjpeg>=2.0.1", - "pylibjpeg-openjpeg>=2.0.1", - "pylibjpeg-rle>=2.0.1", "pylint~=3.3.1", "pylint-pytest==2.0.0a0", - "pyspark>=4.0.0.dev1", - "pyarrow>=14.0.0", - "pytest>=8.0.0", - "pytest-cov>=4.0.0", - "pytest-mock>=3.10.0", "ruff~=0.3.4", ] - -[tool.hatch.envs.default.scripts] -fmt = [ - "black .", - "ruff check . --fix", - "pylint --output-format=colorized -j 0 src tests" -] -test = "pytest tests/unit -v {args}" -cov = "pytest tests/unit --cov=src/python_data_sources --cov-report=term-missing {args}" - -# MCAP test environment -[tool.hatch.envs.test-mcap] -dependencies = [ - "pytest>=8.0.0", - "pytest-cov>=4.0.0", - "pytest-mock>=3.10.0", - "pyspark>=4.0.0.dev1", - "pyarrow>=14.0.0", - "mcap>=1.3.0", - "mcap-protobuf-support>=0.5.3", - "protobuf>=6.33.0", +pytest = [ + "coverage[toml]~=7.13.4", + "pytest~=9.0.2", + "pytest-cov~=7.0.0", + "pytest-mock~=3.15.1", + "pytest-timeout~=2.4.0", ] - -[tool.hatch.envs.test-mcap.scripts] -test = "pytest tests/unit/mcap -v {args}" -cov = "pytest tests/unit/mcap --cov=src/python_data_sources/mcap --cov-report=term-missing {args}" - -# MQTT test environment -[tool.hatch.envs.test-mqtt] -dependencies = [ - "pytest>=8.0.0", - "pytest-cov>=4.0.0", - "pytest-mock>=3.10.0", - "pyspark>=4.0.0.dev1", - "pyarrow>=14.0.0", - "paho-mqtt>=2.1.0", -] - -[tool.hatch.envs.test-mqtt.scripts] -test = "pytest tests/unit/mqtt -v {args}" -cov = "pytest tests/unit/mqtt --cov=src/python_data_sources/mqtt --cov-report=term-missing {args}" - -# ZipDCM test environment -[tool.hatch.envs.test-zipdcm] -dependencies = [ - "pytest>=8.0.0", - "pytest-cov>=4.0.0", - "pytest-mock>=3.10.0", - "pyspark>=4.0.0.dev1", - "pydicom>=3.0.1", - "pylibjpeg>=2.0.1", - "pylibjpeg-openjpeg>=2.0.1", - "pylibjpeg-rle>=2.0.1", - "pyarrow>=14.0.0", +test = [ + { include-group = "pytest" }, + "python-data-sources[all]", "pandas>=2.0.0", ] - -[tool.hatch.envs.test-zipdcm.scripts] -test = "pytest tests/unit/zipdcm -v {args}" -cov = "pytest tests/unit/zipdcm --cov=src/python_data_sources/zipdcm --cov-report=term-missing {args}" - -# Common modules test environment -[tool.hatch.envs.test-common] -dependencies = [ - "pytest>=8.0.0", - "pytest-cov>=4.0.0", - "pytest-mock>=3.10.0", - "pyspark>=4.0.0.dev1", - "pyarrow>=14.0.0", -] - -[tool.hatch.envs.test-common.scripts] -test = "pytest tests/unit/common -v {args}" -cov = "pytest tests/unit/common --cov=src/python_data_sources/common --cov-report=term-missing {args}" - -# All tests environment -[tool.hatch.envs.test-all] -features = ["all"] -dependencies = [ +e2e = [ + { include-group = "pytest" }, + "python-data-sources[all]", "databricks-labs-pytester~=0.7.4", + "databricks-labs-blueprint~=0.12.0", "databricks-sdk~=0.88", - "pytest>=8.0.0", - "pytest-cov>=4.0.0", - "pytest-mock>=3.10.0", - "pyarrow>=14.0.0", - "pandas>=2.0.0", ] -[tool.hatch.envs.test-all.scripts] -test = "pytest tests/unit -v {args}" -cov = "pytest tests/unit --cov=src/python_data_sources --cov-report=term-missing {args}" -e2e = "pytest tests/e2e -rs" - -# ============================================================================= -# Tool configurations -# ============================================================================= +[tool.uv] +required-version = "~=0.11.0" [tool.pytest.ini_options] addopts = [ @@ -201,12 +97,6 @@ addopts = [ pythonpath = ["src"] testpaths = ["tests"] -[tool.black] -target-version = ["py312"] -line-length = 120 -skip-string-normalization = true -extend-exclude = 'apps|dashboards|docs|media|scripts' - [tool.ruff] cache-dir = ".venv/ruff-cache" target-version = "py312" @@ -216,10 +106,6 @@ exclude = ["apps/*", "dashboards/*", "docs/*", "media/*", "scripts/*"] [tool.ruff.lint.isort] known-first-party = ["python_data_sources"] -[tool.isort] -profile = "black" -line_length = 120 - [tool.coverage.run] source = ["src/python_data_sources"] branch = true diff --git a/src/python_data_sources/mqtt/mqtt_streaming.py b/src/python_data_sources/mqtt/mqtt_streaming.py index fb60273..8ca36b5 100644 --- a/src/python_data_sources/mqtt/mqtt_streaming.py +++ b/src/python_data_sources/mqtt/mqtt_streaming.py @@ -96,7 +96,6 @@ def streamReader(self, schema: StructType): class MqttSimpleStreamReader(SimpleDataSourceStreamReader): - def __init__(self, _schema, options): """ Initialize the MQTT simple stream reader with configuration options. @@ -115,7 +114,7 @@ def __init__(self, _schema, options): self.password = options.get("password", "") self.qos = int(options.get("qos", 2)) self.keep_alive = int(options.get("keepalive", 60)) - self.clean_session = options.get("clean_session", False) + self.clean_session = options.get("clean_session", "false").strip().lower() == "true" self.conn_timeout = int(options.get("conn_time", 1)) self.tls_certs = { "ca_certs": options.get("ca_certs", None), @@ -129,7 +128,7 @@ def __init__(self, _schema, options): if self.clean_session not in [True, False]: raise ValueError(f"Unsupported session: {self.clean_session}") - self.client_id = f'spark-data-source-mqtt-{random.randint(0, 1000000)}' + self.client_id = f"spark-data-source-mqtt-{random.randint(0, 1000000)}" self.current = 0 self.new_data = [] @@ -191,13 +190,13 @@ def _is_valid_hostname(self, hostname): return False # Remove trailing dot if present - if hostname.endswith('.'): + if hostname.endswith("."): hostname = hostname[:-1] # Hostname regex pattern # Allows letters, numbers, hyphens, and dots # Must start and end with alphanumeric characters - hostname_pattern = re.compile(r'^(?!-)(?:[a-zA-Z0-9-]{1,63}(? str: test_library_ref = 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| 61 +++- 7 files changed, 90 insertions(+), 544 deletions(-) delete mode 100644 .github/workflows/test-release.yml delete mode 100644 coverage.xml diff --git a/.github/workflows/release.yml b/.github/workflows/release.yml index 06f2dc1..d21f608 100644 --- a/.github/workflows/release.yml +++ b/.github/workflows/release.yml @@ -17,28 +17,30 @@ jobs: contents: write steps: - name: Checkout - uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd + uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6.0.2 - name: Setup uv - uses: astral-sh/setup-uv@5a095e7a2014a4212f075830d4f7277575a9d098 + uses: astral-sh/setup-uv@5a095e7a2014a4212f075830d4f7277575a9d098 # v7.3.1 with: version: "0.11.2" + enable-cache: true + cache-dependency-glob: "**/uv.lock" - name: Build wheels run: make build - name: GitHub release - uses: softprops/action-gh-release@a06a81a03ee405af7f2048a818ed3f03bbf83c7b + uses: softprops/action-gh-release@a06a81a03ee405af7f2048a818ed3f03bbf83c7b # v2.5.0 with: files: | dist/python_data_sources-*.whl dist/python_data_sources-*.tar.gz - name: Publish distributions to PyPI - uses: pypa/gh-action-pypi-publish@ed0c53931b1dc9bd32cbe73a98c7f6766f8a527e + uses: pypa/gh-action-pypi-publish@ed0c53931b1dc9bd32cbe73a98c7f6766f8a527e # v1.13.0 - name: Sign artifacts with Sigstore - uses: sigstore/gh-action-sigstore-python@f514d46b907ebcd5bedc05145c03b69c1edd8b46 + uses: sigstore/gh-action-sigstore-python@f514d46b907ebcd5bedc05145c03b69c1edd8b46 # v3.0.0 with: inputs: | dist/python_data_sources-*.whl diff --git a/.github/workflows/test-release.yml b/.github/workflows/test-release.yml deleted file mode 100644 index 09ce8ff..0000000 --- a/.github/workflows/test-release.yml +++ /dev/null @@ -1,56 +0,0 @@ -name: Test Release - -on: - push: - branches: - - 'build_tooling' - - '!main' - workflow_dispatch: - -permissions: - contents: read - -jobs: - test-release: - runs-on: ubuntu-latest - environment: test-release - permissions: - id-token: write - contents: read - - steps: - - name: Checkout - uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd - - - name: Setup uv - uses: astral-sh/setup-uv@5a095e7a2014a4212f075830d4f7277575a9d098 - with: - version: "0.11.2" - - - name: Generate dev version - id: version - run: | - BASE_VERSION=$(grep '^version = ' pyproject.toml | head -1 | cut -d'"' -f2) - TIMESTAMP=$(date +%Y%m%d%H%M%S) - DEV_VERSION="${BASE_VERSION}.dev${TIMESTAMP}" - echo "version=$DEV_VERSION" >> $GITHUB_OUTPUT - echo "Generated version: $DEV_VERSION" - sed -i "s/version = \"${BASE_VERSION}\"/version = \"${DEV_VERSION}\"/" pyproject.toml - - - name: Build wheels - run: make build - - - name: Publish to TestPyPI - uses: pypa/gh-action-pypi-publish@ed0c53931b1dc9bd32cbe73a98c7f6766f8a527e - with: - repository-url: https://test.pypi.org/legacy/ - verbose: true - print-hash: true - - - name: Test installation from TestPyPI - run: | - sleep 180 - uv pip install --index-url https://test.pypi.org/simple/ \ - --extra-index-url https://pypi.org/simple/ \ - python-data-sources==${{ steps.version.outputs.version }} - uv run python -c "import python_data_sources; print('Import successful!')" diff --git a/.github/workflows/test.yml b/.github/workflows/test.yml index f7a31fc..c350c70 100644 --- a/.github/workflows/test.yml +++ b/.github/workflows/test.yml @@ -15,7 +15,7 @@ jobs: runs-on: ubuntu-latest steps: - name: Checkout - uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd + uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6.0.2 - name: Verify uv.lock has no private registry URLs run: make verify-lock @@ -24,12 +24,14 @@ jobs: runs-on: ubuntu-latest steps: - name: Checkout - uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd + uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6.0.2 - name: Setup uv - uses: astral-sh/setup-uv@5a095e7a2014a4212f075830d4f7277575a9d098 + uses: astral-sh/setup-uv@5a095e7a2014a4212f075830d4f7277575a9d098 # v7.3.1 with: version: "0.11.2" + enable-cache: true + cache-dependency-glob: "**/uv.lock" - name: Build wheels with hash-pinned constraints run: make build @@ -38,12 +40,14 @@ jobs: runs-on: ubuntu-latest steps: - name: Checkout - uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd + uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6.0.2 - name: Setup uv - uses: astral-sh/setup-uv@5a095e7a2014a4212f075830d4f7277575a9d098 + uses: astral-sh/setup-uv@5a095e7a2014a4212f075830d4f7277575a9d098 # v7.3.1 with: version: "0.11.2" + enable-cache: true + cache-dependency-glob: "**/uv.lock" - name: Initialize the project run: make dev @@ -62,13 +66,13 @@ jobs: steps: - name: Checkout code - uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd + uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6.0.2 with: fetch-depth: 0 - name: List changed directories id: detect - uses: sankichi92/list-changed-directories@1a7ce7073846c0f941d2d3dd7597974022907889 + uses: sankichi92/list-changed-directories@1a7ce7073846c0f941d2d3dd7597974022907889 # v1.2.1 with: target-file: __init__.py common-dependency-paths: |- @@ -104,12 +108,14 @@ jobs: steps: - name: Checkout code - uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd + uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6.0.2 - name: Setup uv - uses: astral-sh/setup-uv@5a095e7a2014a4212f075830d4f7277575a9d098 + uses: astral-sh/setup-uv@5a095e7a2014a4212f075830d4f7277575a9d098 # v7.3.1 with: version: "0.11.2" + enable-cache: true + cache-dependency-glob: "**/uv.lock" - name: Initialize the project run: make dev @@ -129,12 +135,14 @@ jobs: steps: - name: Checkout code - uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd + uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6.0.2 - name: Setup uv - uses: astral-sh/setup-uv@5a095e7a2014a4212f075830d4f7277575a9d098 + uses: astral-sh/setup-uv@5a095e7a2014a4212f075830d4f7277575a9d098 # v7.3.1 with: version: "0.11.2" + enable-cache: true + cache-dependency-glob: "**/uv.lock" - name: Initialize the project run: make dev @@ -173,14 +181,16 @@ jobs: steps: - name: Checkout code - uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd + uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6.0.2 with: fetch-depth: 0 - name: Setup uv - uses: astral-sh/setup-uv@5a095e7a2014a4212f075830d4f7277575a9d098 + uses: astral-sh/setup-uv@5a095e7a2014a4212f075830d4f7277575a9d098 # v7.3.1 with: version: "0.11.2" + enable-cache: true + cache-dependency-glob: "**/uv.lock" - name: Initialize the project run: make dev diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md index e6ba67f..e1c2d6e 100644 --- a/CONTRIBUTING.md +++ b/CONTRIBUTING.md @@ -18,7 +18,7 @@ If you are contributing on behalf of an organization, you confirm that you have 2. Each data source should be implemented in a subfolder of `/src`, e.g. `src/python_data_sources/zipdcm`. The folder name should be the shortname of your data source. 3. Each data source must implement tests in a subfolder of `/tests`, e.g. `/tests/unit/zipdcm`. The folder name should be the shortname of the data source. 4. Each data source must list its runtime and test dependencies in `[project.optional-dependencies]` in `pyproject.toml`. Tests for a single data source are run via `make test-module MODULE=`, which invokes `pytest tests/unit/`; no per-source environment configuration is required. -5. After changing dependencies, regenerate `uv.lock` and `.build-constraints.txt` with `make lock` (not `uv lock` directly) so that any private registry URLs are stripped before commit and the build-system requirements stay hash-pinned. CI runs `make verify-lock` and `make build` to enforce this. +5. After changing dependencies, regenerate `uv.lock` and `.build-constraints.txt` with `make lock-dependencies` (not `uv lock` directly) so that any private registry URLs are stripped before commit and the build-system requirements stay hash-pinned. CI runs `make verify-lock` and `make build` to enforce this. 6. Each data source must include a `README.md` which describes the data source and shows example usage. 7. Each data source must include a `-demo.py` demo notebook which details example usage. 8. Each data source must include a `LICENSE.md` file approved by Databricks' legal team. Use open source subcomponents whenever possible. If proprietary components (e.g. external libraries) are required, provide a downloader method. Do not package proprietary components into data sources. @@ -35,7 +35,7 @@ To add a new data source (shortname ``): 1. Create `src/python_data_sources//` and add the data source implementation, along with `__init__.py`, `README.md`, and `LICENSE.md`. 2. Create `tests/unit//` and add unit tests covering the implementation. 3. Create `examples//` with a `-demo` notebook, and `tests/e2e//` with an end-to-end notebook test that runs the demo in a Databricks workspace. -4. In `pyproject.toml`, add a `` entry to `[project.optional-dependencies]` listing the module's runtime and test dependencies, then run `make lock` to refresh `uv.lock`. Verify the matrix locally with `make test-module MODULE=`. +4. In `pyproject.toml`, add a `` entry to `[project.optional-dependencies]` listing the module's runtime and test dependencies, then run `make lock-dependencies` to refresh `uv.lock`. Verify the matrix locally with `make test-module MODULE=`. 5. Add `` to `ALLOWED_SUBMODULES` in `.github/scripts/detect_changed_submodules.sh` so the CI test matrix picks it up. 6. Update `README.md` (capabilities table and data source summary) and `INSTALL.md` (install instructions for the new optional dependency group). diff --git a/Makefile b/Makefile index d06539d..cac5de3 100644 --- a/Makefile +++ b/Makefile @@ -1,4 +1,4 @@ -.PHONY: all clean dev fmt lint test coverage lock verify-lock build +.PHONY: all clean dev fmt lint test coverage lock-dependencies verify-lock build all: clean lint fmt test diff --git a/coverage.xml b/coverage.xml deleted file mode 100644 index 4f4ca97..0000000 --- a/coverage.xml +++ /dev/null @@ -1,463 +0,0 @@ - - - - - - /Users/gregory.hansen/Documents/GitHub/databricks-industry-solutions/python-data-sources/src - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - diff --git a/tests/e2e/conftest.py b/tests/e2e/conftest.py index 3afa319..79deb9a 100644 --- a/tests/e2e/conftest.py +++ b/tests/e2e/conftest.py @@ -1,5 +1,6 @@ import logging import os +import subprocess from pathlib import Path import pytest @@ -20,12 +21,64 @@ def is_in_debug() -> bool: return False +def _get_local_git_branch() -> str | None: + """Get the current git branch name, or None if not available.""" + try: + return subprocess.check_output( + ["git", "rev-parse", "--abbrev-ref", "HEAD"], + stderr=subprocess.DEVNULL, + text=True, + ).strip() + except Exception: + return None + + +def _get_remote_url(branch: str) -> str | None: + """Get the git remote URL for the current branch, or None if not available.""" + try: + remote = subprocess.check_output( + ["git", "config", f"branch.{branch}.remote"], + stderr=subprocess.DEVNULL, + text=True, + ).strip() + url = subprocess.check_output( + ["git", "config", f"remote.{remote}.url"], + stderr=subprocess.DEVNULL, + text=True, + ).strip() + if url.endswith(".git"): + url = url[:-4] + # Convert SSH URLs to HTTPS so pip can use them (git+git@... is invalid) + if url.startswith("git@github.com:"): + url = url.replace("git@github.com:", "https://github.com/", 1) + return url + except Exception: + return None + + @pytest.fixture def library_ref() -> str: - test_library_ref = "git+https://github.com/databricks-industry-solutions/python-data-sources" - if os.getenv("REF_NAME"): - test_library_ref = f"{test_library_ref}.git@refs/pull/{os.getenv('REF_NAME')}" - return f"{test_library_ref}.git@{os.getenv('REF_NAME')}" + base_ref = "git+https://github.com/databricks-industry-solutions/python-data-sources" + is_github_actions = os.getenv("GITHUB_ACTIONS") == "true" + + if is_github_actions: + ref_name = os.getenv("REF_NAME") + if ref_name: + # PR merge refs look like "123/merge"; branch names don't contain "/" + if "/" in ref_name: + return f"{base_ref}.git@refs/pull/{ref_name}" + return f"{base_ref}.git@{ref_name}" + else: + # Local behavior: use current git branch + ref_name = _get_local_git_branch() + if ref_name and ref_name != "HEAD": + remote_url = _get_remote_url(ref_name) + if remote_url: + return f"git+{remote_url}.git@{ref_name}" + return f"{base_ref}.git@{ref_name}" + + # Default to main branch + return base_ref def validate_run_status(run: Run, client: WorkspaceClient) -> None: From 7074dfa833755dc9c3359c9bd16f0176c8accdb8 Mon Sep 17 00:00:00 2001 From: Greg Hansen Date: Tue, 12 May 2026 17:20:59 -0400 Subject: [PATCH 3/5] Add build constraints --- .build-constraints.txt | 18 +- .coverage | Bin 53248 -> 0 bytes .gitignore | 1 + uv.lock | 565 +++++++++++++---------------------------- 4 files changed, 193 insertions(+), 391 deletions(-) delete mode 100644 .coverage diff --git a/.build-constraints.txt b/.build-constraints.txt index a1fd6cb..68b1167 100644 --- a/.build-constraints.txt +++ b/.build-constraints.txt @@ -1,19 +1,19 @@ hatchling==1.29.0 \ --hash=sha256:50af9343281f34785fab12da82e445ed987a6efb34fd8c2fc0f6e6630dbcc1b0 \ --hash=sha256:793c31816d952cee405b83488ce001c719f325d9cda69f1fc4cd750527640ea6 -packaging==26.0 \ - --hash=sha256:00243ae351a257117b6a241061796684b084ed1c516a08c48a3f7e147a9d80b4 \ - --hash=sha256:b36f1fef9334a5588b4166f8bcd26a14e521f2b55e6b9de3aaa80d3ff7a37529 +packaging==26.2 \ + --hash=sha256:5fc45236b9446107ff2415ce77c807cee2862cb6fac22b8a73826d0693b0980e \ + 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Adds the docs/python-data-sources scaffold (config, sidebars, Tailwind, custom CSS, homepage), a docs dependency group, [tool.pydoc-markdown] config, and Makefile targets (docs-install/build/serve/serve-dev/clean). The publish workflow becomes a two-job build+deploy on the html_publisher self-hosted runner with setup-node + setup-uv. Deletes the prior inline-Python publish.yaml. Co-authored-by: Isaac --- .github/workflows/publish.yaml | 438 ------------------ .github/workflows/publish.yml | 68 +++ Makefile | 22 +- docs/python-data-sources/.gitignore | 23 + docs/python-data-sources/docs/demos.mdx | 26 ++ .../python-data-sources/docs/installation.mdx | 49 ++ docs/python-data-sources/docs/motivation.mdx | 29 ++ .../docs/reference/api/index.mdx | 9 + .../docs/reference/index.mdx | 11 + docs/python-data-sources/docusaurus.config.ts | 203 ++++++++ docs/python-data-sources/package.json | 60 +++ docs/python-data-sources/sidebars.ts | 12 + .../src/components/Button.tsx | 65 +++ docs/python-data-sources/src/css/custom.css | 79 ++++ docs/python-data-sources/src/pages/index.tsx | 189 ++++++++ docs/python-data-sources/static/.nojekyll | 0 docs/python-data-sources/static/img/logo.svg | 7 + docs/python-data-sources/tailwind.config.ts | 17 + docs/python-data-sources/tsconfig.json | 8 + pyproject.toml | 31 ++ 20 files changed, 906 insertions(+), 440 deletions(-) delete mode 100644 .github/workflows/publish.yaml create mode 100644 .github/workflows/publish.yml create mode 100644 docs/python-data-sources/.gitignore create mode 100644 docs/python-data-sources/docs/demos.mdx create mode 100644 docs/python-data-sources/docs/installation.mdx create mode 100644 docs/python-data-sources/docs/motivation.mdx create mode 100644 docs/python-data-sources/docs/reference/api/index.mdx create mode 100644 docs/python-data-sources/docs/reference/index.mdx create mode 100644 docs/python-data-sources/docusaurus.config.ts create mode 100644 docs/python-data-sources/package.json create mode 100644 docs/python-data-sources/sidebars.ts create mode 100644 docs/python-data-sources/src/components/Button.tsx create mode 100644 docs/python-data-sources/src/css/custom.css create mode 100644 docs/python-data-sources/src/pages/index.tsx create mode 100644 docs/python-data-sources/static/.nojekyll create mode 100644 docs/python-data-sources/static/img/logo.svg create mode 100644 docs/python-data-sources/tailwind.config.ts create mode 100644 docs/python-data-sources/tsconfig.json diff --git a/.github/workflows/publish.yaml b/.github/workflows/publish.yaml deleted file mode 100644 index 824c3ec..0000000 --- a/.github/workflows/publish.yaml +++ /dev/null @@ -1,438 +0,0 @@ -name: publish - -on: - push: - branches: [ main, preview ] - workflow_dispatch: - -permissions: - contents: read - pages: write - id-token: write - -concurrency: - group: "pages" - cancel-in-progress: false - -jobs: - publish: - runs-on: html_publisher - environment: - name: ${{ github.ref_name == 'main' && 'github-pages' || 'preview' }} - url: ${{ steps.deployment.outputs.page_url }} - steps: - - - name: Checkout project - uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd - - - name: Set up Python - uses: actions/setup-python@a309ff8b426b58ec0e2a45f0f869d46889d02405 - with: - python-version: "3.12" - - - name: Install dependencies - run: | - pip install --upgrade pip - pip install nbconvert jupyter-book sphinx markdown beautifulsoup4 - - - name: Convert notebooks and create single-page app - run: | - mkdir -p site - - # Convert .ipynb notebooks to HTML fragments (body content only) - for notebook in */*.ipynb; do - if [ -f "$notebook" ]; then - jupyter nbconvert "$notebook" --to html \ - --template classic --HTMLExporter.theme=light \ - --no-prompt --stdout > "temp_$(basename "$notebook" .ipynb).html" - fi - done - - # Convert .py Databricks notebooks to HTML fragments - chmod +x .github/scripts/convert_notebooks.py - python3 .github/scripts/convert_notebooks.py - - # Create single-page application with embedded content - python3 << 'EOF' - import os - import json - import markdown - import re - import glob - from bs4 import BeautifulSoup - - # Read README.md - readme_content = "" - if os.path.exists('README.md'): - with open('README.md', 'r') as f: - readme_content = markdown.markdown(f.read()) - - # Get repository name and format title - repo_name = os.environ.get('GITHUB_REPOSITORY', '').split('/')[-1] - title = ' '.join(word.capitalize() for word in repo_name.split('-')) + ' Accelerator' - - # Collect all notebook content - notebooks = {} - - # Read .py notebook fragments - if os.path.exists('notebook_fragments.json'): - with open('notebook_fragments.json', 'r') as f: - py_notebooks = json.load(f) - notebooks.update(py_notebooks) - - # Read .ipynb notebook content (extract body from temp files) - for temp_file in glob.glob('temp_*.html'): - if 'fragment' not in temp_file: # These are the nbconvert outputs - name = temp_file.replace('temp_', '').replace('.html', '') - with open(temp_file, 'r') as f: - content = f.read() - # Extract body content - soup = BeautifulSoup(content, 'html.parser') - body = soup.find('body') - if body: - # Find the notebook container - container = body.find('div', class_='container') - if container: - notebooks[name] = str(container) - else: - notebooks[name] = str(body) - - # Create single-page application - html = f''' - - - {title} - - - - - - - -
- -
{title}
- View on GitHub -
- -
-
-

📚 Documentation

-
Overview
''' - - # Add notebook navigation - if notebooks: - html += '\n

📓 Notebooks

' - for name in sorted(notebooks.keys()): - display_name = name.replace('_', ' ').title() - html += f'\n
📓 {display_name}
' - - html += f''' -
- -
- -
- {readme_content} -
''' - - # Add notebook sections - for name, content in notebooks.items(): - html += f''' - -
- {content} -
''' - - html += f''' -
-
- - - - - - ''' - - # Write the single-page application - with open('site/index.html', 'w') as f: - f.write(html) - - print(f"Created single-page application with {len(notebooks)} notebooks") - - # Clean up temporary files - for temp_file in glob.glob('temp_*.html'): - os.remove(temp_file) - if os.path.exists('notebook_fragments.json'): - os.remove('notebook_fragments.json') - EOF - - - name: Upload artifact - uses: actions/upload-pages-artifact@7b1f4a764d45c48632c6b24a0339c27f5614fb0b - with: - path: 'site' - - - name: Deploy to GitHub Pages - id: deployment - uses: actions/deploy-pages@d6db90164ac5ed86f2b6aed7e0febac5b3c0c03e diff --git a/.github/workflows/publish.yml b/.github/workflows/publish.yml new file mode 100644 index 0000000..3494226 --- /dev/null +++ b/.github/workflows/publish.yml @@ -0,0 +1,68 @@ +name: publish + +on: + push: + branches: [ main, preview ] + workflow_dispatch: + +permissions: + contents: read + +concurrency: + group: "pages" + cancel-in-progress: false + +jobs: + build: + name: Build Docusaurus + runs-on: html_publisher + + steps: + - name: Checkout + uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6.0.2 + with: + fetch-depth: 0 + + - name: Setup uv + uses: astral-sh/setup-uv@5a095e7a2014a4212f075830d4f7277575a9d098 # v7.3.1 + with: + version: "0.11.2" + enable-cache: true + cache-dependency-glob: "**/uv.lock" + + - name: Setup Node.js + uses: actions/setup-node@53b83947a5a98c8d113130e565377fae1a50d02f # v6.3.0 + with: + node-version: 22 + cache: yarn + cache-dependency-path: docs/python-data-sources/yarn.lock + + - name: Install docs dependencies + run: make docs-install + + - name: Build website + run: make docs-build + + - name: Upload Build Artifact + uses: actions/upload-pages-artifact@7b1f4a764d45c48632c6b24a0339c27f5614fb0b # v4.0.0 + with: + path: docs/python-data-sources/build + + deploy: + name: Deploy to GitHub Pages + needs: build + + permissions: + pages: write + id-token: write + + environment: + name: ${{ github.ref_name == 'main' && 'github-pages' || 'preview' }} + url: ${{ steps.deployment.outputs.page_url }} + + runs-on: html_publisher + + steps: + - name: Deploy to GitHub Pages + id: deployment + uses: actions/deploy-pages@d6db90164ac5ed86f2b6aed7e0febac5b3c0c03e # v4.0.5 diff --git a/Makefile b/Makefile index cac5de3..158c8b8 100644 --- a/Makefile +++ b/Makefile @@ -1,4 +1,4 @@ -.PHONY: all clean dev fmt lint test coverage lock-dependencies verify-lock build +.PHONY: all clean dev fmt lint test coverage lock-dependencies verify-lock build docs-install docs-build docs-serve docs-serve-dev docs-clean all: clean lint fmt test @@ -6,7 +6,7 @@ export UV_FROZEN := 1 UV_RUN := uv run --exact --all-extras -clean: +clean: docs-clean rm -fr .venv clean htmlcov .pytest_cache .ruff_cache .coverage coverage.xml dist find . -name '__pycache__' -print0 | xargs -0 rm -fr @@ -55,3 +55,21 @@ coverage: e2e: $(UV_RUN) pytest -rs --timeout 30 tests/e2e + +docs-install: + yarn --cwd docs/python-data-sources install --frozen-lockfile + +docs-build: + uv run --group docs pydoc-markdown + yarn --cwd docs/python-data-sources build + +docs-serve-dev: + uv run --group docs pydoc-markdown + yarn --cwd docs/python-data-sources start + +docs-serve: docs-build + yarn --cwd docs/python-data-sources serve + +docs-clean: + rm -rf docs/python-data-sources/build docs/python-data-sources/.docusaurus docs/python-data-sources/.cache + find docs/python-data-sources/docs/reference/api -mindepth 1 -not -name 'index.mdx' -exec rm -rf {} + diff --git a/docs/python-data-sources/.gitignore b/docs/python-data-sources/.gitignore new file mode 100644 index 0000000..2f584ae --- /dev/null +++ b/docs/python-data-sources/.gitignore @@ -0,0 +1,23 @@ +# Dependencies +/node_modules + +# Production +/build + +# Generated files +.docusaurus +.cache-loader + +# Generated API reference (pydoc-markdown output) +/docs/reference/api/python_data_sources/ + +# Misc +.DS_Store +.env.local +.env.development.local +.env.test.local +.env.production.local + +npm-debug.log* +yarn-debug.log* +yarn-error.log* diff --git a/docs/python-data-sources/docs/demos.mdx b/docs/python-data-sources/docs/demos.mdx new file mode 100644 index 0000000..8bcd6c0 --- /dev/null +++ b/docs/python-data-sources/docs/demos.mdx @@ -0,0 +1,26 @@ +--- +sidebar_position: 3 +--- + +# Demos + +The repository ships runnable example notebooks under [`examples/`](https://github.com/databricks-industry-solutions/python-data-sources/tree/main/examples). GitHub renders Jupyter notebooks inline, so the links below land on a readable view you can also download or open directly in Databricks. + +## ZipDICOM — read DICOM imagery from a ZIP archive + +Walks through registering the `zipdcm` data source, reading a ZIP of DICOM files into a DataFrame, and accessing the pixel arrays. + +➡️ [`examples/zipdcm/zip-dicom-demo.ipynb`](https://github.com/databricks-industry-solutions/python-data-sources/blob/main/examples/zipdcm/zip-dicom-demo.ipynb) + +## Running an example in Databricks + +1. Clone the repo (or fork it) and open the notebook in your Databricks workspace via **Workspace → Import → URL** using the raw GitHub URL. +2. Install the matching connector extra on your cluster: + ```bash + %pip install "python-data-sources[zipdcm]" + ``` +3. Restart the Python interpreter (`dbutils.library.restartPython()`) and run the cells in order. + +## Contributing a new demo + +New demos are welcome. Place the notebook under `examples//` and reference it from this page — see [`CONTRIBUTING.md`](https://github.com/databricks-industry-solutions/python-data-sources/blob/main/CONTRIBUTING.md) for the full process. diff --git a/docs/python-data-sources/docs/installation.mdx b/docs/python-data-sources/docs/installation.mdx new file mode 100644 index 0000000..143014f --- /dev/null +++ b/docs/python-data-sources/docs/installation.mdx @@ -0,0 +1,49 @@ +--- +sidebar_position: 1 +--- + +# Installation + +`python-data-sources` is published to PyPI. Each connector is shipped as an optional extra so you only install what you need. + +## Requirements + +- Python `>=3.12,<3.14` +- PySpark `>=4.0.0.dev1` (the new Python DataSource API is required) + +## Install a single connector + +```bash +pip install "python-data-sources[mcap]" # MCAP robotics logs +pip install "python-data-sources[mqtt]" # MQTT streaming +pip install "python-data-sources[zipdcm]" # DICOM in ZIP +``` + +## Install everything + +```bash +pip install "python-data-sources[all]" +``` + +## Using uv + +```bash +uv add "python-data-sources[mcap]" +``` + +## Register the data source in Spark + +Each connector is a `pyspark.sql.datasource.DataSource` subclass. Register the ones you want before reading: + +```python +from pyspark.sql import SparkSession +from python_data_sources.mcap import McapDataSource + +spark = SparkSession.builder.getOrCreate() +spark.dataSource.register(McapDataSource) + +df = spark.read.format("mcap").load("/path/to/logs/") +df.show() +``` + +See the [API reference](/docs/reference) for the full list of registered data sources and their options. diff --git a/docs/python-data-sources/docs/motivation.mdx b/docs/python-data-sources/docs/motivation.mdx new file mode 100644 index 0000000..cb7dcb3 --- /dev/null +++ b/docs/python-data-sources/docs/motivation.mdx @@ -0,0 +1,29 @@ +--- +sidebar_position: 2 +--- + +# Motivation + +Apache Spark ships native readers for the formats most analytics workloads encounter — Parquet, JSON, CSV, Avro, Delta, JDBC, Kafka. Outside of that mainstream, the long tail of file formats and streaming protocols is mostly served by a patchwork of one-off scripts, JVM connectors that are hard to install, or bespoke ingest jobs that re-parse data byte by byte. + +The [PySpark DataSource API](https://spark.apache.org/docs/latest/api/python/reference/pyspark.sql/datasource.html) introduced in Spark 4.0 changes that: any Python class can implement `DataSourceReader` / `DataSourceWriter` and be addressed by `spark.read.format(...)`. **`python-data-sources` is a collection of those Python-native connectors** for formats and protocols that don't have a built-in Spark reader. + +## What it covers today + +| Connector | Read | Stream | Notes | +| --- | :-: | :-: | --- | +| `mcap` | ✓ | — | MCAP container format used for robotics, AV, and ROS bag logs. | +| `mqtt` | — | ✓ | MQTT broker as a Structured Streaming source. | +| `zipdcm` | ✓ | — | DICOM medical images packaged inside ZIP archives. | + +## Why a single repo + +- **One Python wheel** with optional extras (`[mcap]`, `[mqtt]`, `[zipdcm]`) so downstream projects pull in exactly the dependencies they need. +- **Shared utilities** — schema inference helpers, partition planning, and test fixtures live in a `common` module that every connector reuses. +- **Single test suite** running on every Databricks Runtime Spark version, so a connector that says it works on a given runtime really does. + +## Where it fits + +If you're prototyping a new pipeline on Databricks or open-source Spark and need to land MCAP / MQTT / DICOM data into Delta without writing a parser yourself, register the connector and call `spark.read.format("…")`. The output is a normal DataFrame and behaves like any other source — partitioning, schema evolution, and streaming semantics all work the same way. + +If you need a connector that isn't here yet, [open an issue](https://github.com/databricks-industry-solutions/python-data-sources/issues) — the contribution process is in the repo's `CONTRIBUTING.md`. diff --git a/docs/python-data-sources/docs/reference/api/index.mdx b/docs/python-data-sources/docs/reference/api/index.mdx new file mode 100644 index 0000000..c2888a2 --- /dev/null +++ b/docs/python-data-sources/docs/reference/api/index.mdx @@ -0,0 +1,9 @@ +--- +sidebar_position: 1 +--- + +# API Reference + +The module-by-module API reference is generated by `pydoc-markdown` from the docstrings under `src/python_data_sources/`. Run `make docs-build` to regenerate the surrounding pages. + +If you're reading this in a freshly cloned tree, the per-module pages aren't here yet — they're written into this directory the first time `make docs-build` runs. diff --git a/docs/python-data-sources/docs/reference/index.mdx b/docs/python-data-sources/docs/reference/index.mdx new file mode 100644 index 0000000..09fb17c --- /dev/null +++ b/docs/python-data-sources/docs/reference/index.mdx @@ -0,0 +1,11 @@ +--- +sidebar_position: 1 +--- + +# Reference + +This section is the technical reference for `python-data-sources`. + +- [**API reference**](/docs/reference/api) — auto-generated module-by-module documentation for every public class and function in `src/python_data_sources`. Generated from docstrings by [`pydoc-markdown`](https://github.com/NiklasRosenstein/pydoc-markdown). + +If something is missing or wrong, the source of truth is the docstring in the code — fix it there and the next docs build will pick it up. See [`CONTRIBUTING.md`](https://github.com/databricks-industry-solutions/python-data-sources/blob/main/CONTRIBUTING.md) for how to rebuild the docs locally. diff --git a/docs/python-data-sources/docusaurus.config.ts b/docs/python-data-sources/docusaurus.config.ts new file mode 100644 index 0000000..2229bdf --- /dev/null +++ b/docs/python-data-sources/docusaurus.config.ts @@ -0,0 +1,203 @@ +import path from 'path'; +import { themes as prismThemes } from 'prism-react-renderer'; +import type { Config } from '@docusaurus/types'; +import type * as Preset from '@docusaurus/preset-classic'; + +// This runs in Node.js - Don't use client-side code here (browser APIs, JSX...) + +const config: Config = { + title: 'Python Data Sources', + tagline: 'A collection of custom PySpark data source connectors for various formats.', + favicon: 'img/logo.svg', + + url: 'https://databricks-industry-solutions.github.io', + baseUrl: '/python-data-sources/', + trailingSlash: true, + + organizationName: 'databricks-industry-solutions', + projectName: 'python-data-sources', + + onBrokenLinks: 'throw', + onDuplicateRoutes: 'throw', + onBrokenAnchors: 'throw', + + markdown: { + mermaid: true, + hooks: { + onBrokenMarkdownLinks: 'throw', + }, + }, + themes: ['@docusaurus/theme-mermaid'], + + i18n: { + defaultLocale: 'en', + locales: ['en'], + }, + + plugins: [ + async () => ({ + name: 'fix-vscode-languageserver-types-resolution', + configureWebpack() { + // theme-mermaid → mermaid → langium → vscode-languageserver-types. + // vscode-languageserver-types defaults to UMD (main.js) which triggers + // "Critical dependency: require function is used in a way in which + // dependencies cannot be statically extracted". Force ESM build instead. + const vscodeTypesPath = path.join( + __dirname, + 'node_modules/vscode-languageserver-types/lib/esm/main.js', + ); + return { + resolve: { + alias: { + 'vscode-languageserver-types': vscodeTypesPath, + }, + }, + }; + }, + }), + async (context, options) => { + return { + name: 'docusaurus-plugin-tailwindcss', + configurePostCss(postcssOptions) { + postcssOptions.plugins = [ + require('tailwindcss'), + require('autoprefixer'), + ]; + return postcssOptions; + }, + }; + }, + 'docusaurus-plugin-image-zoom', + 'docusaurus-lunr-search', + [ + // TODO: pinned to pre-release alpha; revisit when a stable 2.0.0 is published + // https://www.npmjs.com/package/@signalwire/docusaurus-plugin-llms-txt + '@signalwire/docusaurus-plugin-llms-txt', + { + markdown: { + enableFiles: true, + relativePaths: true, + includeBlog: false, + includePages: true, + includeDocs: true, + includeVersionedDocs: false, + excludeRoutes: [], + }, + llmsTxt: { + enableLlmsFullTxt: true, + includeBlog: false, + includePages: true, + includeDocs: true, + excludeRoutes: [], + + siteTitle: 'Python Data Sources', + siteDescription: 'A collection of custom PySpark data source connectors for various formats.', + + autoSectionDepth: 1, + autoSectionPosition: 100, + + sections: [ + { + id: 'getting-started', + name: 'Getting Started', + description: 'Installation and motivation for Python Data Sources', + position: 1, + routes: [ + { route: '/python-data-sources/docs/installation' }, + { route: '/python-data-sources/docs/motivation' }, + ], + }, + { + id: 'reference', + name: 'Reference', + description: 'API reference and technical documentation', + position: 2, + routes: [ + { route: '/python-data-sources/docs/reference/**' }, + ], + }, + { + id: 'demos', + name: 'Demos', + description: 'Example notebooks and demos', + position: 3, + routes: [ + { route: '/python-data-sources/docs/demos' }, + ], + }, + { + id: 'home', + name: 'Home', + description: 'Python Data Sources homepage', + position: 0, + routes: [ + { route: '/python-data-sources/' }, + { route: '/python-data-sources/index' }, + ], + }, + ], + }, + }, + ], + ], + + presets: [ + [ + 'classic', + { + docs: { + sidebarPath: './sidebars.ts', + editUrl: + 'https://github.com/databricks-industry-solutions/python-data-sources/tree/main/docs/python-data-sources/', + }, + blog: false, + theme: { + customCss: './src/css/custom.css', + }, + } satisfies Preset.Options, + ], + ], + + themeConfig: { + colorMode: { + defaultMode: 'dark', + respectPrefersColorScheme: false, + }, + navbar: { + title: 'Python Data Sources', + logo: { + alt: 'Python Data Sources Logo', + src: 'img/logo.svg', + }, + items: [ + { + type: 'search', + position: 'right', + }, + { + href: 'https://github.com/databricks-industry-solutions/python-data-sources', + position: 'right', + className: 'header-github-link', + 'aria-label': 'GitHub repository', + }, + ], + }, + footer: { + links: [], + copyright: `Copyright © ${new Date().getFullYear()} Databricks Industry Solutions. Docs built with Docusaurus.`, + }, + prism: { + theme: prismThemes.oneLight, + darkTheme: prismThemes.oneDark, + }, + zoom: { + selector: 'article img', + background: { + light: '#F8FAFC', + dark: '#F8FAFC', + }, + }, + } satisfies Preset.ThemeConfig, +}; + +export default config; diff --git a/docs/python-data-sources/package.json b/docs/python-data-sources/package.json new file mode 100644 index 0000000..2613bea --- /dev/null +++ b/docs/python-data-sources/package.json @@ -0,0 +1,60 @@ +{ + "name": "python-data-sources", + "version": "0.0.0", + "private": true, + "scripts": { + "docusaurus": "docusaurus", + "start": "docusaurus start", + "build": "docusaurus build", + "swizzle": "docusaurus swizzle", + "deploy": "docusaurus deploy", + "clear": "docusaurus clear", + "serve": "docusaurus serve", + "write-translations": "docusaurus write-translations", + "write-heading-ids": "docusaurus write-heading-ids", + "typecheck": "tsc" + }, + "dependencies": { + "@docusaurus/core": "^3.8.1", + "@docusaurus/preset-classic": "^3.8.1", + "@docusaurus/theme-mermaid": "^3.8.1", + "@mdx-js/react": "^3.0.0", + "@signalwire/docusaurus-plugin-llms-txt": "2.0.0-alpha.7", + "clsx": "^2.1.1", + "docusaurus-lunr-search": "3.6.1", + "docusaurus-plugin-image-zoom": "^2.0.0", + "lucide-react": "^0.471.1", + "prism-react-renderer": "^2.3.0", + "react": "^19.0.0", + "react-dom": "^19.0.0", + "tsx": "^4.20.3" + }, + "devDependencies": { + "@docusaurus/module-type-aliases": "^3.8.1", + "@docusaurus/tsconfig": "^3.8.1", + "@docusaurus/types": "^3.8.1", + "@tailwindcss/typography": "^0.5.16", + "autoprefixer": "^10.4.20", + "postcss": "^8.5.1", + "tailwindcss": "^3.4.17", + "typescript": "~5.6.2" + }, + "browserslist": { + "production": [ + ">0.5%", + "not dead", + "not op_mini all" + ], + "development": [ + "last 3 chrome version", + "last 3 firefox version", + "last 5 safari version" + ] + }, + "engines": { + "node": ">=18.0" + }, + "resolutions": { + "webpack": "~5.97.0" + } +} diff --git a/docs/python-data-sources/sidebars.ts b/docs/python-data-sources/sidebars.ts new file mode 100644 index 0000000..eb6d05c --- /dev/null +++ b/docs/python-data-sources/sidebars.ts @@ -0,0 +1,12 @@ +import type { SidebarsConfig } from '@docusaurus/plugin-content-docs'; + +// This runs in Node.js - Don't use client-side code here (browser APIs, JSX...) + +const sidebars: SidebarsConfig = { + // Generated from the docs/ folder structure + tutorialSidebar: [ + { type: 'autogenerated', dirName: '.' }, + ], +}; + +export default sidebars; diff --git a/docs/python-data-sources/src/components/Button.tsx b/docs/python-data-sources/src/components/Button.tsx new file mode 100644 index 0000000..e4c2ba7 --- /dev/null +++ b/docs/python-data-sources/src/components/Button.tsx @@ -0,0 +1,65 @@ +import React, { CSSProperties } from 'react'; +import clsx from 'clsx'; +import Link from '@docusaurus/Link'; + +type Button = { + size?: 'sm' | 'lg' | 'small' | 'medium' | 'large' | null; + outline?: boolean; + variant: 'primary' | 'secondary' | 'danger' | 'warning' | 'success' | 'info' | 'link' | string; + block?: boolean; + disabled?: boolean; + className?: string; + style?: CSSProperties; + link: string; + label: string; + linkClassName?: string; +}; + +export default function Button({ + size = null, + outline = false, + variant = 'primary', + block = false, + disabled = false, + className, + style, + link, + label, + linkClassName, +}: Button) { + const sizeMap = { + sm: 'sm', + small: 'sm', + lg: 'lg', + large: 'lg', + medium: null, + }; + const buttonSize = size ? sizeMap[size] : ''; + const sizeClass = buttonSize ? `button--${buttonSize}` : ''; + const outlineClass = outline ? 'button--outline' : ''; + const variantClass = variant ? `button--${variant}` : ''; + const blockClass = block ? 'button--block' : ''; + const disabledClass = disabled ? 'disabled' : ''; + const destination = disabled ? null : link; + return ( + + + + ); +} diff --git a/docs/python-data-sources/src/css/custom.css b/docs/python-data-sources/src/css/custom.css new file mode 100644 index 0000000..3333a17 --- /dev/null +++ b/docs/python-data-sources/src/css/custom.css @@ -0,0 +1,79 @@ +/** + * Any CSS included here will be global. The classic template + * bundles Infima by default. Infima is a CSS framework designed to + * work well for content-centric websites. + */ + +/* import fonts: DM Mono and DM Sans */ +@import url('https://fonts.googleapis.com/css2?family=DM+Mono:ital,wght@0,300;0,400;0,500;1,300;1,400;1,500&family=DM+Sans:ital,opsz,wght@0,9..40,100..1000;1,9..40,100..1000&display=swap'); + + +/* configure tailwindcss */ +@tailwind base; +@tailwind components; +@tailwind utilities; + + + +:root { + --ifm-font-family-base: 'DM Sans'; + --ifm-heading-font-family: 'DM Sans'; + --ifm-font-family-monospace: 'DM Mono', monospace; + + --ifm-code-font-size: 95%; + --docusaurus-highlighted-code-line-bg: rgba(0, 0, 0, 0.1); +} + + + +.font-mono { + font-family: "DM Mono", monospace; + font-style: normal; +} + +.font-sans { + font-family: "DM Sans", sans-serif; + font-style: normal; +} + +button { + @apply font-sans; +} + +#search_input_react { + @apply font-sans; +} + + +.header-github-link::before { + content: ''; + width: 24px; + height: 24px; + display: flex; + background-color: var(--ifm-navbar-link-color); + mask-image: url("data:image/svg+xml,%3Csvg viewBox='0 0 24 24' xmlns='http://www.w3.org/2000/svg'%3E%3Cpath d='M12 .297c-6.63 0-12 5.373-12 12 0 5.303 3.438 9.8 8.205 11.385.6.113.82-.258.82-.577 0-.285-.01-1.04-.015-2.04-3.338.724-4.042-1.61-4.042-1.61C4.422 18.07 3.633 17.7 3.633 17.7c-1.087-.744.084-.729.084-.729 1.205.084 1.838 1.236 1.838 1.236 1.07 1.835 2.809 1.305 3.495.998.108-.776.417-1.305.76-1.605-2.665-.3-5.466-1.332-5.466-5.93 0-1.31.465-2.38 1.235-3.22-.135-.303-.54-1.523.105-3.176 0 0 1.005-.322 3.3 1.23.96-.267 1.98-.399 3-.405 1.02.006 2.04.138 3 .405 2.28-1.552 3.285-1.23 3.285-1.23.645 1.653.24 2.873.12 3.176.765.84 1.23 1.91 1.23 3.22 0 4.61-2.805 5.625-5.475 5.92.42.36.81 1.096.81 2.22 0 1.606-.015 2.896-.015 3.286 0 .315.21.69.825.57C20.565 22.092 24 17.592 24 12.297c0-6.627-5.373-12-12-12'/%3E%3C/svg%3E"); + transition: background-color var(--ifm-transition-fast) + var(--ifm-transition-timing-default); +} + +.header-github-link:hover::before { + background-color: var(--ifm-navbar-link-hover-color); +} + +/* TOC sidebar header (desktop and mobile) */ +.theme-doc-toc-desktop .table-of-contents::before, +.theme-doc-toc-desktop .tableOfContents::before { + content: "📄 On this page:"; + display: block; + font-weight: 600; + margin-bottom: 0.5rem; + color: var(--ifm-color-content); +} + +.theme-doc-toc-mobile .menu__list::before { + content: "📄 On this page:"; + display: block; + font-weight: 600; + margin: 0.5rem 0 0.25rem 0.5rem; + color: var(--ifm-color-content); +} diff --git a/docs/python-data-sources/src/pages/index.tsx b/docs/python-data-sources/src/pages/index.tsx new file mode 100644 index 0000000..a747b85 --- /dev/null +++ b/docs/python-data-sources/src/pages/index.tsx @@ -0,0 +1,189 @@ +import Layout from '@theme/Layout'; +import { JSX } from 'react'; +import Button from '../components/Button'; +import { Database, Radio, Image, FileText, Cog, Zap } from 'lucide-react'; + +const Hero = () => { + return ( +
+
+ Python Data Sources Logo +
+ +

+ Python Data Sources +

+

+ Provided by{' '} + + Databricks Industry Solutions + +

+

+ A collection of custom PySpark data source connectors for formats and protocols + that don't have a built-in Spark reader. +

+ +
+
+
+ ); +}; + +const Sources = () => { + const sources = [ + { + title: 'MCAP', + description: 'Read robotics and autonomy logs (MCAP format) into Spark DataFrames.', + icon: FileText, + }, + { + title: 'MQTT', + description: 'Stream IoT telemetry from MQTT brokers as a Spark Structured Streaming source.', + icon: Radio, + }, + { + title: 'ZipDICOM', + description: 'Decode medical imaging archives (DICOM in ZIP) into queryable pixel data.', + icon: Image, + }, + ]; + + return ( +
+

+ Available Sources +

+
+ {sources.map((source, index) => { + const Icon = source.icon; + return ( +
+ +

{source.title}

+

{source.description}

+
+ ); + })} +
+
+ ); +}; + +const Capabilities = () => { + const capabilities = [ + { + title: 'Spark DataSource V2 API', + description: 'Implemented against the Python DataSource API — usable from PySpark and Databricks runtime.', + icon: Database, + }, + { + title: 'Batch & Streaming', + description: 'Both batch reads and Spark Structured Streaming sources are supported where appropriate.', + icon: Zap, + }, + { + title: 'Modular Install', + description: 'Each connector is an optional extra (mcap, mqtt, zipdcm) — install only what you need.', + icon: Cog, + }, + ]; + + return ( +
+

+ Capabilities +

+
+ {capabilities.map((capability, index) => { + const Icon = capability.icon; + return ( +
+ +

{capability.title}

+

{capability.description}

+
+ ); + })} +
+
+ ); +}; + +const CallToAction = () => { + return ( +
+

+ Plug a new source into Spark 🚀 +

+

+ Follow the installation guide to add Python Data Sources to your PySpark project. +

+
+ ); +}; + +export default function Home(): JSX.Element { + return ( + +
+
+
+ + + + +
+
+
+ + ); +} diff --git a/docs/python-data-sources/static/.nojekyll b/docs/python-data-sources/static/.nojekyll new file mode 100644 index 0000000..e69de29 diff --git a/docs/python-data-sources/static/img/logo.svg b/docs/python-data-sources/static/img/logo.svg new file mode 100644 index 0000000..615e5e3 --- /dev/null +++ b/docs/python-data-sources/static/img/logo.svg @@ -0,0 +1,7 @@ + + + + + + + diff --git a/docs/python-data-sources/tailwind.config.ts b/docs/python-data-sources/tailwind.config.ts new file mode 100644 index 0000000..0953ba0 --- /dev/null +++ b/docs/python-data-sources/tailwind.config.ts @@ -0,0 +1,17 @@ +import type { Config } from 'tailwindcss'; + +export default { + content: [ + './docs/**/*.md', + './docs/**/*.mdx', + './src/**/*.{js,jsx,ts,tsx}', + ], + darkMode: ['class', '[data-theme="dark"]'], + theme: {}, + plugins: [ + require('@tailwindcss/typography'), + ], + corePlugins: { + preflight: false, // to make headings H1-H6 work correctly + }, +} satisfies Config; diff --git a/docs/python-data-sources/tsconfig.json b/docs/python-data-sources/tsconfig.json new file mode 100644 index 0000000..920d7a6 --- /dev/null +++ b/docs/python-data-sources/tsconfig.json @@ -0,0 +1,8 @@ +{ + // This file is not used in compilation. It is here just for a nice editor experience. + "extends": "@docusaurus/tsconfig", + "compilerOptions": { + "baseUrl": "." + }, + "exclude": [".docusaurus", "build"] +} diff --git a/pyproject.toml b/pyproject.toml index 3c7ac3f..896f548 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -86,10 +86,41 @@ e2e = [ "databricks-labs-blueprint~=0.12.0", "databricks-sdk~=0.88", ] +docs = [ + "pydoc-markdown>=4.8.2,<5.0", +] [tool.uv] required-version = "~=0.11.0" +[tool.pydoc-markdown] +loaders = [ + { type = "python", search_path = [ + "./src", + ], packages = [ + "python_data_sources", + ] }, +] +processors = [ + { type = "smart" }, + { type = "crossref" }, + { type = "filter", skip_empty_modules = true }, +] +hooks = { post-render = [ + "cp -r docs/python-data-sources/docs/reference/api/python_data_sources/* docs/python-data-sources/docs/reference/api/", + "rm -rf docs/python-data-sources/docs/reference/api/python_data_sources", +] } + +[tool.pydoc-markdown.renderer] +type = "docusaurus" +docs_base_path = "docs/python-data-sources/docs" +relative_output_path = "reference/api" +relative_sidebar_path = "sidebar.json" + +# by default method and function are on level 4 which is too deep for docusaurus +# we want to move them to level 3 +markdown = { header_level_by_type = { Method = 3, Function = 3, Class = 2, Module = 1 } } + [tool.pytest.ini_options] addopts = [ "--import-mode=importlib", From 3c40374466550b44477d6b0eb082b0cdc8ebcd1f Mon Sep 17 00:00:00 2001 From: Greg Hansen Date: Wed, 13 May 2026 09:56:44 -0400 Subject: [PATCH 5/5] Update documentation --- Makefile | 2 +- docs/python-data-sources/docs/demos.mdx | 20 +- .../python-data-sources/docs/installation.mdx | 54 +-- docs/python-data-sources/docs/motivation.mdx | 32 +- .../reference/api/common/range_partition.md | 13 + .../reference/api/mcap/mcap_datasource.md | 117 ++++++ .../docs/reference/api/mqtt/mqtt_streaming.md | 157 +++++++ .../docs/reference/api/sidebar.json | 41 ++ .../docs/reference/api/zipdcm/zip_dcm_ds.md | 40 ++ .../reference/api/zipdcm/zip_dcm_utils.md | 45 ++ .../docs/reference/index.mdx | 2 +- uv.lock | 384 ++++++++++++++++++ 12 files changed, 847 insertions(+), 60 deletions(-) create mode 100644 docs/python-data-sources/docs/reference/api/common/range_partition.md create mode 100644 docs/python-data-sources/docs/reference/api/mcap/mcap_datasource.md create mode 100644 docs/python-data-sources/docs/reference/api/mqtt/mqtt_streaming.md create mode 100644 docs/python-data-sources/docs/reference/api/sidebar.json create mode 100644 docs/python-data-sources/docs/reference/api/zipdcm/zip_dcm_ds.md create mode 100644 docs/python-data-sources/docs/reference/api/zipdcm/zip_dcm_utils.md diff --git a/Makefile b/Makefile index 158c8b8..58f4a7d 100644 --- a/Makefile +++ b/Makefile @@ -29,7 +29,7 @@ verify-lock: if [ -n "$$bad" ]; then \ echo "uv.lock contains non-public registry URLs:"; \ echo "$$bad"; \ - echo "Run 'make lock' to regenerate and sanitize."; \ + echo "Run 'make lock-dependencies' to regenerate and sanitize."; \ exit 1; \ fi diff --git a/docs/python-data-sources/docs/demos.mdx b/docs/python-data-sources/docs/demos.mdx index 8bcd6c0..c87d316 100644 --- a/docs/python-data-sources/docs/demos.mdx +++ b/docs/python-data-sources/docs/demos.mdx @@ -4,23 +4,11 @@ sidebar_position: 3 # Demos -The repository ships runnable example notebooks under [`examples/`](https://github.com/databricks-industry-solutions/python-data-sources/tree/main/examples). GitHub renders Jupyter notebooks inline, so the links below land on a readable view you can also download or open directly in Databricks. +This project contains example notebooks in [`examples/`](https://github.com/databricks-industry-solutions/python-data-sources/tree/main/examples) +for you to work with custom data sources. -## ZipDICOM — read DICOM imagery from a ZIP archive - -Walks through registering the `zipdcm` data source, reading a ZIP of DICOM files into a DataFrame, and accessing the pixel arrays. - -➡️ [`examples/zipdcm/zip-dicom-demo.ipynb`](https://github.com/databricks-industry-solutions/python-data-sources/blob/main/examples/zipdcm/zip-dicom-demo.ipynb) - -## Running an example in Databricks - -1. Clone the repo (or fork it) and open the notebook in your Databricks workspace via **Workspace → Import → URL** using the raw GitHub URL. -2. Install the matching connector extra on your cluster: - ```bash - %pip install "python-data-sources[zipdcm]" - ``` -3. Restart the Python interpreter (`dbutils.library.restartPython()`) and run the cells in order. +* [`examples/zipdcm/zip-dicom-demo.ipynb`](https://github.com/databricks-industry-solutions/python-data-sources/blob/main/examples/zipdcm/zip-dicom-demo.ipynb) shows how to register a `zipdcm` data source, read a zipped archive of DICOM files, and access the pixel arrays. ## Contributing a new demo -New demos are welcome. Place the notebook under `examples//` and reference it from this page — see [`CONTRIBUTING.md`](https://github.com/databricks-industry-solutions/python-data-sources/blob/main/CONTRIBUTING.md) for the full process. +New example notebooks are welcome. Place the notebook under `examples//` and reference it from this page. diff --git a/docs/python-data-sources/docs/installation.mdx b/docs/python-data-sources/docs/installation.mdx index 143014f..75c2c36 100644 --- a/docs/python-data-sources/docs/installation.mdx +++ b/docs/python-data-sources/docs/installation.mdx @@ -1,49 +1,55 @@ --- -sidebar_position: 1 +sidebar_position: 2 --- -# Installation - -`python-data-sources` is published to PyPI. Each connector is shipped as an optional extra so you only install what you need. +import Admonition from '@theme/Admonition'; +import Tabs from '@theme/Tabs'; +import TabItem from '@theme/TabItem'; -## Requirements +# Installation -- Python `>=3.12,<3.14` -- PySpark `>=4.0.0.dev1` (the new Python DataSource API is required) +Data sources can be installed from PyPI using `pip` commands. Each data source is packaged as an optional extra module. You can +limit installation of data sources and their dependencies to only the sources you need. -## Install a single connector + +Installing Python Data Sources from this library requires Spark 4.0+. Each data source includes its required Python dependencies. + -```bash -pip install "python-data-sources[mcap]" # MCAP robotics logs -pip install "python-data-sources[mqtt]" # MQTT streaming -pip install "python-data-sources[zipdcm]" # DICOM in ZIP -``` +## Installing data sources -## Install everything +List required data sources when installing using `pip` commands. ```bash -pip install "python-data-sources[all]" +pip install "python-data-sources[mcap]" # MCAP robotics logs +pip install "python-data-sources[mqtt]" # MQTT streaming +pip install "python-data-sources[zipdcm]" # DICOM in ZIP +pip install "python-data-sources[mcap,mqtt]" # Both MCAP and MQTT +pip install "python-data-sources[all]" # Installs all data sources ``` -## Using uv + +Each data source requires its own dependencies. Because new data sources may be added to the project over time, it is best to +limit installation to sources required for your workloads. + -```bash -uv add "python-data-sources[mcap]" -``` - -## Register the data source in Spark +## Registering data sources -Each connector is a `pyspark.sql.datasource.DataSource` subclass. Register the ones you want before reading: +Data sources must be registered to be used in an active `SparkSession`. Once data sources are registered, you can reference them +using their data source name (e.g. "mcap" for the MCAP data source). See the [API reference](/docs/reference) for the full list of +registered data sources and their options. ```python from pyspark.sql import SparkSession from python_data_sources.mcap import McapDataSource +# Register the data source spark = SparkSession.builder.getOrCreate() spark.dataSource.register(McapDataSource) +# Get the data source name +mcap_source_name = McapDataSource.name() # 'mcap' + +# Read MCAP data using the registered data source df = spark.read.format("mcap").load("/path/to/logs/") df.show() ``` - -See the [API reference](/docs/reference) for the full list of registered data sources and their options. diff --git a/docs/python-data-sources/docs/motivation.mdx b/docs/python-data-sources/docs/motivation.mdx index cb7dcb3..f2d4514 100644 --- a/docs/python-data-sources/docs/motivation.mdx +++ b/docs/python-data-sources/docs/motivation.mdx @@ -1,29 +1,25 @@ --- -sidebar_position: 2 +sidebar_position: 1 --- # Motivation -Apache Spark ships native readers for the formats most analytics workloads encounter — Parquet, JSON, CSV, Avro, Delta, JDBC, Kafka. Outside of that mainstream, the long tail of file formats and streaming protocols is mostly served by a patchwork of one-off scripts, JVM connectors that are hard to install, or bespoke ingest jobs that re-parse data byte by byte. +Apache Spark ships native data sources commonly used in analytics workloads. The long tail of data sources is not covered by +standard Spark capabilities and is served by a patchwork of Java libraries or user-defined functions that are difficult to maintain. -The [PySpark DataSource API](https://spark.apache.org/docs/latest/api/python/reference/pyspark.sql/datasource.html) introduced in Spark 4.0 changes that: any Python class can implement `DataSourceReader` / `DataSourceWriter` and be addressed by `spark.read.format(...)`. **`python-data-sources` is a collection of those Python-native connectors** for formats and protocols that don't have a built-in Spark reader. +The [PySpark DataSource API](https://spark.apache.org/docs/latest/api/python/reference/pyspark.sql/datasource.html) allows users to implement and register Spark data source formats using `spark.read.format(...)`. +Sources that implement `DataSourceReader` and `DataSourceWriter` contracts can be used to read or write data with Spark. -## What it covers today +**python-data-sources** is a collection of Python-native connectors for formats and protocols that don't have a built-in Spark reader. -| Connector | Read | Stream | Notes | -| --- | :-: | :-: | --- | -| `mcap` | ✓ | — | MCAP container format used for robotics, AV, and ROS bag logs. | -| `mqtt` | — | ✓ | MQTT broker as a Structured Streaming source. | -| `zipdcm` | ✓ | — | DICOM medical images packaged inside ZIP archives. | +## Connectors -## Why a single repo +| Connector | Read | Write | Notes | +|-----------|------|--------|----------------------------------------------------------------| +| `mcap` | ✓ | — | MCAP container format used for robotics, AV, and ROS bag logs. | +| `mqtt` | ✓ | — | MQTT broker as a Structured Streaming source. | +| `zipdcm` | ✓ | — | DICOM medical images packaged inside ZIP archives. | -- **One Python wheel** with optional extras (`[mcap]`, `[mqtt]`, `[zipdcm]`) so downstream projects pull in exactly the dependencies they need. -- **Shared utilities** — schema inference helpers, partition planning, and test fixtures live in a `common` module that every connector reuses. -- **Single test suite** running on every Databricks Runtime Spark version, so a connector that says it works on a given runtime really does. +## Contributing -## Where it fits - -If you're prototyping a new pipeline on Databricks or open-source Spark and need to land MCAP / MQTT / DICOM data into Delta without writing a parser yourself, register the connector and call `spark.read.format("…")`. The output is a normal DataFrame and behaves like any other source — partitioning, schema evolution, and streaming semantics all work the same way. - -If you need a connector that isn't here yet, [open an issue](https://github.com/databricks-industry-solutions/python-data-sources/issues) — the contribution process is in the repo's `CONTRIBUTING.md`. +If you need a connector that isn't provided as a Python Data Source, [open a GitHub issue](https://github.com/databricks-industry-solutions/python-data-sources/issues). diff --git a/docs/python-data-sources/docs/reference/api/common/range_partition.md b/docs/python-data-sources/docs/reference/api/common/range_partition.md new file mode 100644 index 0000000..9b9f224 --- /dev/null +++ b/docs/python-data-sources/docs/reference/api/common/range_partition.md @@ -0,0 +1,13 @@ +--- +sidebar_label: range_partition +title: python_data_sources.common.range_partition +--- + +## RangePartition Objects + +```python +class RangePartition(InputPartition) +``` + +This DataSource InputPartition class provides tracking of ranges within a list + diff --git a/docs/python-data-sources/docs/reference/api/mcap/mcap_datasource.md b/docs/python-data-sources/docs/reference/api/mcap/mcap_datasource.md new file mode 100644 index 0000000..e8c675c --- /dev/null +++ b/docs/python-data-sources/docs/reference/api/mcap/mcap_datasource.md @@ -0,0 +1,117 @@ +--- +sidebar_label: mcap_datasource +title: python_data_sources.mcap.mcap_datasource +--- + +### path\_handler + +```python +def path_handler(path: str, + glob_pattern: str, + recursive: bool = False) -> list +``` + +Discover files matching the glob pattern in the given path. + +**Arguments**: + +- `path` - Path to search for files +- `glob_pattern` - Glob pattern to match files (e.g., "*.mcap") +- `recursive` - If True, recursively search subdirectories using rglob + + +**Returns**: + + List of file paths matching the pattern + +### decode\_protobuf\_message + +```python +def decode_protobuf_message(message, schema, _reader) +``` + +Decode protobuf messages. + +### decode\_json\_message + +```python +def decode_json_message(message, _schema, _reader) +``` + +Decode JSON messages. + +### decode\_fallback + +```python +def decode_fallback(message, _schema, _reader) +``` + +Fallback decoder for unknown formats. + +## MCAPDataSourceReader Objects + +```python +class MCAPDataSourceReader(DataSourceReader) +``` + +Facilitate reading MCAP (ROS 2 bag) files. + +### partitions + +```python +def partitions() -> Sequence[RangePartition] +``` + +Compute 'splits' of the data to read. + +**Returns**: + + List of RangePartition objects + +### read + +```python +def read(partition: InputPartition) -> Iterator[tuple] +``` + +Executor level method, performs read by Range Partition. + +**Arguments**: + +- `partition` - The partition to read + + +**Returns**: + + Iterator of tuples (sequence, topic, schema, encoding, log_time, data_json) + +## MCAPDataSource Objects + +```python +class MCAPDataSource(DataSource) +``` + +A data source for batch query over MCAP (ROS 2 bag) files. + +Usage: + # Read all topics + df = spark.read.format("mcap").option("path", "/path/to/mcap/files").load() + + # Filter by specific topic at read time (more efficient than DataFrame filter) + df = spark.read.format("mcap") .option("path", "/path/to/mcap/files") .option("topicFilter", "pose") .load() + +Options: + - path: Path to MCAP file(s) or directory (required) + - pathGlobFilter: Glob pattern for file matching (default: "*.mcap") + - numPartitions: Number of partitions to split files across (default: 4) + - recursiveFileLookup: Recursively search subdirectories (default: false) + - topicFilter: Filter messages by topic name (optional). Use "*" or omit to read all topics. + +Schema: + - sequence: BIGINT - The message sequence number from MCAP + - topic: STRING - The message topic + - schema: STRING - The schema name + - encoding: STRING - The encoding type (protobuf, json, etc.) + - log_time: BIGINT - The message timestamp in nanoseconds + - data: STRING - JSON string containing all message fields + diff --git a/docs/python-data-sources/docs/reference/api/mqtt/mqtt_streaming.md b/docs/python-data-sources/docs/reference/api/mqtt/mqtt_streaming.md new file mode 100644 index 0000000..a6682d1 --- /dev/null +++ b/docs/python-data-sources/docs/reference/api/mqtt/mqtt_streaming.md @@ -0,0 +1,157 @@ +--- +sidebar_label: mqtt_streaming +title: python_data_sources.mqtt.mqtt_streaming +--- + +## MqttDataSource Objects + +```python +class MqttDataSource(DataSource) +``` + +A PySpark DataSource for reading MQTT messages from a broker. + +This data source allows you to stream MQTT messages into Spark DataFrames, +supporting various MQTT broker configurations including authentication, +SSL/TLS encryption, and different quality of service levels. + +Input validation is performed on critical parameters to ensure connection reliability. + +Supported options: +- broker_address: MQTT broker hostname or IP address (required, validated) +* Must be a valid hostname or IP address format +* Cannot be None, empty, or whitespace-only +- port: Broker port number (default: 8883, validated) +* Must be an integer in range 1-65535 +- username: Authentication username (optional) +- password: Authentication password (optional) +- topic: MQTT topic to subscribe to (default: "#" for all topics) +- qos: Quality of Service level 0-2 (default: 0, validated) +* Must be 0, 1, or 2 (standard MQTT QoS levels) +- require_tls: Enable SSL/TLS encryption (default: true) +- keepalive: Keep alive interval in seconds (default: 60) + +Example usage: +spark.readStream.format("mqtt_pub_sub") +.option("broker_address", "mqtt.example.com") +.option("topic", "sensors/+/temperature") +.option("username", "user") +.option("password", "pass") +.load() + +**Raises**: + +- `ValueError` - If broker_address, port, clean_session, or qos parameters are invalid. + +### name + +```python +@classmethod +def name(cls) +``` + +Returns the name of the data source. + +### \_\_init\_\_ + +```python +def __init__(options) +``` + +Initialize the MQTT data source with configuration options. + +**Arguments**: + +- `options` _dict_ - Configuration options for the MQTT connection. + See class docstring for supported options. + +### schema + +```python +def schema() +``` + +Define the schema of the data source. + +**Returns**: + +- `StructType` - The schema of the data source. + +### streamReader + +```python +def streamReader(schema: StructType) +``` + +Create and return a stream reader for MQTT data. + +**Arguments**: + +- `schema` _StructType_ - The schema for the streaming data. + + +**Returns**: + +- `MqttSimpleStreamReader` - A stream reader instance configured for MQTT. + +## MqttSimpleStreamReader Objects + +```python +class MqttSimpleStreamReader(SimpleDataSourceStreamReader) +``` + +### \_\_init\_\_ + +```python +def __init__(_schema, options) +``` + +Initialize the MQTT simple stream reader with configuration options. + +**Arguments**: + +- `_schema` _StructType_ - The schema for the streaming data. +- `options` _dict_ - Configuration options for the MQTT connection. + See class docstring for supported options. + +### latestOffset + +```python +def latestOffset() -> dict +``` + +Returns the current latest offset that the next microbatch will read to. + +### partitions + +```python +def partitions(start: dict, end: dict) +``` + +Plans the partitioning of the current microbatch defined by start and end offset. It +needs to return a sequence of :class:`InputPartition` objects. + +### read + +```python +def read(_) +``` + +Read MQTT messages from the broker. + +**Returns**: + +- `Iterator[list]` - An iterator of lists containing the MQTT message data. + The list contains the following elements: + - received_time: The time the message was received. + - topic: The topic of the message. + - message: The payload of the message. + - is_duplicate: Whether the message is a duplicate. + - qos: The quality of service level of the message. + - is_retained: Whether the message is retained. + + +**Raises**: + +- `Exception` - If the connection to the broker fails. + diff --git a/docs/python-data-sources/docs/reference/api/sidebar.json b/docs/python-data-sources/docs/reference/api/sidebar.json new file mode 100644 index 0000000..97ab080 --- /dev/null +++ b/docs/python-data-sources/docs/reference/api/sidebar.json @@ -0,0 +1,41 @@ +{ + "items": [ + { + "items": [ + { + "items": [ + "reference/api/python_data_sources/common/range_partition" + ], + "label": "python_data_sources.common", + "type": "category" + }, + { + "items": [ + "reference/api/python_data_sources/mcap/mcap_datasource" + ], + "label": "python_data_sources.mcap", + "type": "category" + }, + { + "items": [ + "reference/api/python_data_sources/mqtt/mqtt_streaming" + ], + "label": "python_data_sources.mqtt", + "type": "category" + }, + { + "items": [ + "reference/api/python_data_sources/zipdcm/zip_dcm_ds", + "reference/api/python_data_sources/zipdcm/zip_dcm_utils" + ], + "label": "python_data_sources.zipdcm", + "type": "category" + } + ], + "label": "python_data_sources", + "type": "category" + } + ], + "label": "Reference", + "type": "category" +} \ No newline at end of file diff --git a/docs/python-data-sources/docs/reference/api/zipdcm/zip_dcm_ds.md b/docs/python-data-sources/docs/reference/api/zipdcm/zip_dcm_ds.md new file mode 100644 index 0000000..6bdba5c --- /dev/null +++ b/docs/python-data-sources/docs/reference/api/zipdcm/zip_dcm_ds.md @@ -0,0 +1,40 @@ +--- +sidebar_label: zip_dcm_ds +title: python_data_sources.zipdcm.zip_dcm_ds +--- + +## ZipDCMDataSourceReader Objects + +```python +class ZipDCMDataSourceReader(DataSourceReader) +``` + +Facilitate reading Zipfiles full of DCM (DICOM) files. + +### partitions + +```python +def partitions() -> Sequence[RangePartition] +``` + +Compute 'splits' of the data to read + self.paths is the list of files discovered and now need to be partitioned. + +### read + +```python +def read( + partition: InputPartition +) -> Iterator[tuple] | Iterator["RecordBatch"] +``` + +Executor level method, performs read by Range Partition + +## ZipDCMDataSource Objects + +```python +class ZipDCMDataSource(DataSource) +``` + +A data source for batch query over zipped DICOM files the `ZipFile` and `PyDicom` libraries. + diff --git a/docs/python-data-sources/docs/reference/api/zipdcm/zip_dcm_utils.md b/docs/python-data-sources/docs/reference/api/zipdcm/zip_dcm_utils.md new file mode 100644 index 0000000..a80db0f --- /dev/null +++ b/docs/python-data-sources/docs/reference/api/zipdcm/zip_dcm_utils.md @@ -0,0 +1,45 @@ +--- +sidebar_label: zip_dcm_utils +title: python_data_sources.zipdcm.zip_dcm_utils +--- + +### readzipdcm + +```python +def readzipdcm(partition: RangePartition, paths: list, + dicom_keys_filter: list[str]) -> Iterator[list[Any]] +``` + +Generator function to extract DICOM metadata from .dcm files within ZIP archives. + +Iterates over a partitioned list of ZIP file paths, opens each ZIP file, and processes files +with a '.dcm' extension. For each DICOM file, reads the header metadata, removes specified +large keys from the metadata dictionary, computes a SHA-1 hash of the pixel data, and yields +the results as a list. + +**Arguments**: + +- `partition` _RangePartition_ - An object with 'start' and 'end' attributes specifying the range of paths to process. +- `paths` _list_ - List of ZIP file paths to process. +- `dicom_keys_filter` _list_ - List of metadata keys to remove from the extracted DICOM metadata. + + +**Yields**: + +- `list` - A list containing: + - rowid (int): Unique row identifier. + - Either concatenation of: + - zip_file_path (str): Path to the ZIP file. + - '/' + - name_in_zip (str): Name of the DICOM file within the ZIP archive. + Or: + - dcm_file_path (str): Path to the dcm file. + - meta (dict): Filtered DICOM metadata dictionary with an added 'pixel_hash' key. + + +**Notes**: + + - Assumes that the DICOM files can be read directly from the ZIP archive without extraction. + - The 'pixel_hash' is computed using SHA-1 on the pixel array of the DICOM file. + - Logging is performed at various steps for debugging purposes. + diff --git a/docs/python-data-sources/docs/reference/index.mdx b/docs/python-data-sources/docs/reference/index.mdx index 09fb17c..00d130e 100644 --- a/docs/python-data-sources/docs/reference/index.mdx +++ b/docs/python-data-sources/docs/reference/index.mdx @@ -1,5 +1,5 @@ --- -sidebar_position: 1 +sidebar_position: 4 --- # Reference diff --git a/uv.lock b/uv.lock index 7e63f35..440c836 100644 --- a/uv.lock +++ b/uv.lock @@ -16,6 +16,26 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/af/0f/3b8fdc946b4d9cc8cc1e8af42c4e409468c84441b933d037e101b3d72d86/astroid-3.3.11-py3-none-any.whl", hash = "sha256:54c760ae8322ece1abd213057c4b5bba7c49818853fc901ef09719a60dbf9dec", size = 275612, upload-time = "2025-07-13T18:04:21.07Z" }, ] +[[package]] +name = "black" +version = "23.12.1" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name 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