diff --git a/.github/workflows/build-and-publish.yml b/.github/workflows/build-and-publish.yml new file mode 100644 index 0000000..a6d6e95 --- /dev/null +++ b/.github/workflows/build-and-publish.yml @@ -0,0 +1,22 @@ +name: release +on: + release: + types: [published] +jobs: + publish: + environment: release # needed for PyPI OIDC + runs-on: ubuntu-latest + permissions: + id-token: write + steps: + - uses: actions/checkout@v4 + name: checkout + - name: Install uv + uses: astral-sh/setup-uv@v2 + - name: "Set up Python" + uses: actions/setup-python@v5 + with: + python-version-file: "pyproject.toml" + - name: Install dependencies + run: uv build # build + - uses: pypa/gh-action-pypi-publish@release/v1 # publish \ No newline at end of file diff --git a/.github/workflows/codeql-analysis.yml b/.github/workflows/codeql-analysis.yml new file mode 100644 index 0000000..8774330 --- /dev/null +++ b/.github/workflows/codeql-analysis.yml @@ -0,0 +1,70 @@ +# For most projects, this workflow file will not need changing; you simply need +# to commit it to your repository. +# +# You may wish to alter this file to override the set of languages analyzed, +# or to provide custom queries or build logic. +# +# ******** NOTE ******** +# We have attempted to detect the languages in your repository. Please check +# the `language` matrix defined below to confirm you have the correct set of +# supported CodeQL languages. +# +name: "CodeQL" + +on: + push: + branches: [ main ] + pull_request: + # The branches below must be a subset of the branches above + branches: [ main ] + schedule: + - cron: '42 15 * * 5' + +jobs: + analyze: + name: Analyze + runs-on: ubuntu-latest + permissions: + actions: read + contents: read + security-events: write + + strategy: + fail-fast: false + matrix: + language: [ 'python' ] + # CodeQL supports [ 'cpp', 'csharp', 'go', 'java', 'javascript', 'python', 'ruby' ] + # Learn more about CodeQL language support at https://git.io/codeql-language-support + + steps: + - name: Checkout repository + uses: actions/checkout@v2 + + # Initializes the CodeQL tools for scanning. + - name: Initialize CodeQL + uses: github/codeql-action/init@v2 + with: + languages: ${{ matrix.language }} + # If you wish to specify custom queries, you can do so here or in a config file. + # By default, queries listed here will override any specified in a config file. + # Prefix the list here with "+" to use these queries and those in the config file. + # queries: ./path/to/local/query, your-org/your-repo/queries@main + + # Autobuild attempts to build any compiled languages (C/C++, C#, or Java). + # If this step fails, then you should remove it and run the build manually (see below) + - name: Autobuild + uses: github/codeql-action/autobuild@v2 + + # ℹī¸ Command-line programs to run using the OS shell. + # 📚 https://git.io/JvXDl + + # ✏ī¸ If the Autobuild fails above, remove it and uncomment the following three lines + # and modify them (or add more) to build your code if your project + # uses a compiled language + + #- run: | + # make bootstrap + # make release + + - name: Perform CodeQL Analysis + uses: github/codeql-action/analyze@v2 diff --git a/.github/workflows/test.yml b/.github/workflows/test.yml new file mode 100644 index 0000000..436033c --- /dev/null +++ b/.github/workflows/test.yml @@ -0,0 +1,35 @@ +name: test +on: + push: + branches: [ main ] + pull_request: + branches: [ main ] + types: [opened, reopened, synchronize] +jobs: + test: + runs-on: ubuntu-latest + strategy: + matrix: + python-version: ['3.10', '3.11', '3.12'] + steps: + - uses: actions/checkout@v4 + - name: Install uv + uses: astral-sh/setup-uv@v2 + - name: Set up Python ${{ matrix.python-version }} + run: uv python install ${{ matrix.python-version }} && uv python pin ${{ matrix.python-version }} + - name: Install dependencies + run: uv venv && uv sync + - name: Run tests + run: | + source .venv/bin/activate + uv run pytest --junitxml=junit/report.xml --cov=. + - name: Publish Test Report + uses: mikepenz/action-junit-report@v3 + if: always() # always run even if the previous step fails + with: + report_paths: "junit/report.xml" + - name: Upload Coverage to Codecov + uses: codecov/codecov-action@v3 + with: + token: ${{ secrets.CODECOV_TOKEN }} + files: ./coverage.xml \ No newline at end of file diff --git a/.gitignore b/.gitignore new file mode 100644 index 0000000..d99191c --- /dev/null +++ b/.gitignore @@ -0,0 +1,4 @@ +.envrc +.coverage +.idea/ +__pycache__/ \ No newline at end of file diff --git a/.python-version b/.python-version new file mode 100644 index 0000000..7c7a975 --- /dev/null +++ b/.python-version @@ -0,0 +1 @@ +3.10 \ No newline at end of file diff --git a/README.md b/README.md index b75f9e9..49e5d4a 100644 --- a/README.md +++ b/README.md @@ -1,2 +1,37 @@ -# pyarrow-unity -Create unity catalog schema from Pyarrow dataframe +## pyarrow-unity + +This library provides functions to convert Pyarrow schema to Unity Catalog schema. + +## Installation +```bash +pip install pyarrow-unity +``` + +## Functions +**model_unity_schema(schema)** +Converts a Pyarrow schema to a list of Unity Catalog columns. + +**Parameters:** +- schema: The Pyarrow schema to convert. + +**Returns:** +A list of Column objects representing the Unity Catalog schema. + +**Example:** +```python +import pyarrow as pa +from pyarrow_unity.model import model_unity_schema + +schema = pa.schema([ + pa.field('col1', pa.int32(), nullable=True), + pa.field('col2', pa.string(), nullable=False), + pa.field('col3', pa.decimal128(10, 2), nullable=True) +]) + +columns = model_unity_schema(schema) +for column in columns: + print(f"Name: {column.name}, Type: {column.type_name}, Nullable: {column.nullable}") +``` + +## License +This project is licensed under the MIT License - see the [LICENSE](license) file for details. \ No newline at end of file diff --git a/pyproject.toml b/pyproject.toml new file mode 100644 index 0000000..710035a --- /dev/null +++ b/pyproject.toml @@ -0,0 +1,36 @@ +[project] +name = "pyarrow-unity" +version = "0.1.0" +description = "Convert Pyarrow schema to Unity Catalog schema" +readme = "README.md" +authors = [{name = "Frank Mbonu", email = "frank.mbonu@xebia.com"}, {name = "Frank Mbonu", email = "daniel.tom@xebia.com"}] + +requires-python = ">=3.10" +dependencies = [ + "pyarrow>=17.0.0", + "unitycatalog>=0.1.1", +] + +[tool.uv] +dev-dependencies = [ + "coverage>=7.6.1", + "pre-commit>=3.8.0", + "pytest-cov>=5.0.0", + "pytest>=8.3.3", + "ruff>=0.6.5", +] + +[build-system] +requires = ["hatchling"] +build-backend = "hatchling.build" + +[tool.hatch.build.targets.sdist] +include = [ + "/src/pyarrow_unity", +] +[tool.ruff] +line-length = 88 +lint.select = ["E", "F", "W", "C90"] +lint.ignore = ["E501"] +lint.per-file-ignores = {"__init__.py" = ["F401", "F403"]} +exclude = ["build", "dist", "venv"] diff --git a/src/pyarrow_unity/__init__.py b/src/pyarrow_unity/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/src/pyarrow_unity/model.py b/src/pyarrow_unity/model.py new file mode 100644 index 0000000..279e8c5 --- /dev/null +++ b/src/pyarrow_unity/model.py @@ -0,0 +1,108 @@ +import json +from typing import Literal + +import pyarrow as pa + +from unitycatalog.types.table_create_params import Column + +UCSupportedTypeLiteral = Literal[ + "BOOLEAN", + "BYTE", + "SHORT", + "INT", + "LONG", + "FLOAT", + "DOUBLE", + "DATE", + "TIMESTAMP", + "TIMESTAMP_NTZ", + "STRING", + "BINARY", + "DECIMAL", + "INTERVAL", + "ARRAY", + "STRUCT", + "MAP", + "CHAR", + "NULL", + "USER_DEFINED_TYPE", + "TABLE_TYPE", +] + +UCSupportedFormatLiteral = Literal["DELTA", "CSV", "JSON", "AVRO", "PARQUET", "ORC", "TEXT"] + + +def pyarrow_to_uc_type(data_type: pa.DataType) -> UCSupportedTypeLiteral: + """Convert a PyArrow data type to a supported Unitycatalog JSON type.""" + if pa.types.is_boolean(data_type): + return "BOOLEAN" + elif pa.types.is_int8(data_type): + return "BYTE" + elif pa.types.is_int16(data_type): + return "SHORT" + elif pa.types.is_int32(data_type): + return "INT" + elif pa.types.is_int64(data_type): + return "LONG" + elif pa.types.is_float32(data_type): + return "FLOAT" + elif pa.types.is_float64(data_type): + return "DOUBLE" + elif pa.types.is_date32(data_type): + return "DATE" + elif pa.types.is_timestamp(data_type): + return "TIMESTAMP" + elif pa.types.is_string(data_type): + return "STRING" + elif pa.types.is_binary(data_type): + return "BINARY" + elif pa.types.is_decimal(data_type): + return "DECIMAL" + elif pa.types.is_duration(data_type): + return "INTERVAL" + elif pa.types.is_list(data_type): + return "ARRAY" + elif pa.types.is_struct(data_type): + return "STRUCT" + elif pa.types.is_map(data_type): + return "MAP" + elif pa.types.is_null(data_type): + return "NULL" + else: + raise NotImplementedError(f"Type {data_type} not supported") + +def model_unity_schema(schema: pa.Schema) -> list[Column]: + """Convert a PyArrow schema to a list of Unitycatalog Column objects.""" + columns = [] + + for i, field in enumerate(schema): + data_type = field.type + json_type = pyarrow_to_uc_type(data_type) + + column = Column( + name=field.name, + type_name=json_type, + nullable=field.nullable, + comment=f"Field {field.name}", # Generic comment, modify as needed + position=i, + type_json=json.dumps( + { + "name": field.name, + "type": json_type, + "nullable": field.nullable, + "metadata": field.metadata or {}, + } + ), + type_precision=0, + type_scale=0, + type_text=json_type, + ) + + # Adjust type precision and scale for decimal types + if pa.types.is_decimal(data_type): + column["type_precision"] = data_type.precision + column["type_scale"] = data_type.scale + + columns.append(column) + + return columns \ No newline at end of file diff --git a/tests/test_model.py b/tests/test_model.py new file mode 100644 index 0000000..84ef1a6 --- /dev/null +++ b/tests/test_model.py @@ -0,0 +1,78 @@ +import pytest +import pyarrow as pa +from pyarrow_unity.model import pyarrow_to_uc_type, model_unity_schema + +def test_pyarrow_type_to_supported_uc_json_type_boolean(): + assert pyarrow_to_uc_type(pa.bool_()) == "BOOLEAN" + +def test_pyarrow_type_to_supported_uc_json_type_int8(): + assert pyarrow_to_uc_type(pa.int8()) == "BYTE" + +def test_pyarrow_type_to_supported_uc_json_type_int16(): + assert pyarrow_to_uc_type(pa.int16()) == "SHORT" + +def test_pyarrow_type_to_supported_uc_json_type_int32(): + assert pyarrow_to_uc_type(pa.int32()) == "INT" + +def test_pyarrow_type_to_supported_uc_json_type_int64(): + assert pyarrow_to_uc_type(pa.int64()) == "LONG" + +def test_pyarrow_type_to_supported_uc_json_type_float32(): + assert pyarrow_to_uc_type(pa.float32()) == "FLOAT" + +def test_pyarrow_type_to_supported_uc_json_type_float64(): + assert pyarrow_to_uc_type(pa.float64()) == "DOUBLE" + +def test_pyarrow_type_to_supported_uc_json_type_date32(): + assert pyarrow_to_uc_type(pa.date32()) == "DATE" + +def test_pyarrow_type_to_supported_uc_json_type_timestamp(): + assert pyarrow_to_uc_type(pa.timestamp('s')) == "TIMESTAMP" + +def test_pyarrow_type_to_supported_uc_json_type_string(): + assert pyarrow_to_uc_type(pa.string()) == "STRING" + +def test_pyarrow_type_to_supported_uc_json_type_binary(): + assert pyarrow_to_uc_type(pa.binary()) == "BINARY" + +def test_pyarrow_type_to_supported_uc_json_type_decimal(): + assert pyarrow_to_uc_type(pa.decimal128(10, 2)) == "DECIMAL" + +def test_pyarrow_type_to_supported_uc_json_type_duration(): + assert pyarrow_to_uc_type(pa.duration('s')) == "INTERVAL" + +def test_pyarrow_type_to_supported_uc_json_type_list(): + assert pyarrow_to_uc_type(pa.list_(pa.int32())) == "ARRAY" + +def test_pyarrow_type_to_supported_uc_json_type_struct(): + assert pyarrow_to_uc_type(pa.struct([pa.field('f1', pa.int32())])) == "STRUCT" + +def test_pyarrow_type_to_supported_uc_json_type_map(): + assert pyarrow_to_uc_type(pa.map_(pa.string(), pa.int32())) == "MAP" + +def test_pyarrow_type_to_supported_uc_json_type_null(): + assert pyarrow_to_uc_type(pa.null()) == "NULL" + +def test_pyarrow_type_to_supported_uc_json_type_not_supported(): + with pytest.raises(NotImplementedError): + pyarrow_to_uc_type(pa.time32('s')) + +def test_model_unity_schema(): + schema = pa.schema([ + 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