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43 changes: 43 additions & 0 deletions .github/workflows/dbt-integration-tests.yml
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name: dbt-integration-tests

# Run dbt integration tests on PRs
on:
pull_request:
paths:
- 'sdk/python/feast/dbt/**'
- 'sdk/python/tests/integration/dbt/**'
- 'sdk/python/tests/unit/dbt/**'
- '.github/workflows/dbt-integration-tests.yml'

jobs:
dbt-integration-test:
runs-on: ubuntu-latest
strategy:
matrix:
python-version: ["3.11", "3.12"]
env:
PYTHON: ${{ matrix.python-version }}
steps:
- uses: actions/checkout@v4

- name: Setup Python
uses: actions/setup-python@v5
with:
python-version: ${{ matrix.python-version }}
architecture: x64

- name: Install the latest version of uv
uses: astral-sh/setup-uv@v5
with:
enable-cache: true

- name: Install dependencies

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@copilot we should use the Makefile to install dependencies here

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Updated to use make install-python-dependencies-ci in commit 621cefb.

run: make install-python-dependencies-ci

- name: Run dbt integration tests
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@franciscojavierarceo franciscojavierarceo Jan 17, 2026

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@copillot we should also run the standard dbt commands; i.e,.

dbt run
dbt build
dbt test

after that we should then test the new feast cli and test that feast materialization works from a dbt model into a sqlite online store.

run: |
cd sdk/python
python -m pytest tests/integration/dbt/test_dbt_integration.py -v --tb=short

- name: Minimize uv cache
run: uv cache prune --ci
1 change: 0 additions & 1 deletion sdk/python/pytest.ini
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Expand Up @@ -11,7 +11,6 @@ env =

filterwarnings =
error::_pytest.warning_types.PytestConfigWarning
error::_pytest.warning_types.PytestUnhandledCoroutineWarning
ignore::DeprecationWarning:pyspark.sql.pandas.*:
ignore::DeprecationWarning:pyspark.sql.connect.*:
ignore::DeprecationWarning:httpx.*:
Expand Down
96 changes: 96 additions & 0 deletions sdk/python/tests/integration/dbt/README.md
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# dbt Integration Tests

Integration tests for Feast's dbt integration feature, which allows importing dbt models as Feast FeatureViews.

## Overview

These tests verify the complete workflow of:
1. Parsing dbt `manifest.json` files using dbt-artifacts-parser
2. Extracting model metadata (columns, types, tags, descriptions)
3. Creating Feast objects (Entity, DataSource, FeatureView) from dbt models
4. Generating Python code with Feast definitions

## Test Coverage

### TestDbtManifestParsing
- Parse manifest metadata (dbt version, project name)
- Extract all models from manifest
- Filter models by dbt tags
- Filter models by name
- Parse model properties (database, schema, table, description, tags)
- Parse column metadata (name, type, description)

### TestDbtToFeastMapping
- Create BigQuery data sources from dbt models
- Create Snowflake data sources from dbt models
- Create File data sources from dbt models
- Create Feast entities
- Create FeatureViews with proper schema
- Exclude entity and timestamp columns from features
- Handle custom excluded columns
- Create all objects together (Entity + DataSource + FeatureView)

### TestDbtDataSourceTypes
- Test all supported data source types (bigquery, snowflake, file)
- Verify unsupported types raise errors

### TestDbtCodeGeneration
- Generate Python code from dbt models
- Generate code for different data source types
- Verify generated code structure and imports

### TestDbtTypeMapping
- Map dbt types to Feast types correctly:
- STRING → String
- INT32 → Int32
- INT64 → Int64
- FLOAT32 → Float32
- FLOAT64 → Float64
- TIMESTAMP → UnixTimestamp

### TestDbtIntegrationWorkflow
- End-to-end workflow with multiple models
- Code generation workflow with file output

## Test Data

Tests use a pre-generated dbt manifest from `test_dbt_project/`:
- 3 models: driver_features, customer_features, product_features
- Various column types and tags for comprehensive testing
- No external dependencies (database, dbt CLI) required

## Running Tests

Run all dbt integration tests:
```bash
pytest sdk/python/tests/integration/dbt/ -v
```

Run specific test class:
```bash
pytest sdk/python/tests/integration/dbt/test_dbt_integration.py::TestDbtManifestParsing -v
```

Run specific test:
```bash
pytest sdk/python/tests/integration/dbt/test_dbt_integration.py::TestDbtManifestParsing::test_parse_manifest_metadata -v
```

## Dependencies

Required:
- `dbt-artifacts-parser>=0.6.0` - For parsing dbt manifest files
- `feast` - Core Feast SDK with all data source types

## CI/CD

Tests run in GitHub Actions:
- `.github/workflows/dbt-integration-tests.yml` - Dedicated dbt test workflow
- `.github/workflows/unit_tests.yml` - As part of general unit tests

## Related Code

- `feast/dbt/parser.py` - dbt manifest parser
- `feast/dbt/mapper.py` - dbt to Feast object mapper
- `feast/dbt/codegen.py` - Python code generator
- `feast/cli/dbt_import.py` - CLI commands for dbt import
1 change: 1 addition & 0 deletions sdk/python/tests/integration/dbt/__init__.py
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# Integration tests for dbt import functionality
10 changes: 10 additions & 0 deletions sdk/python/tests/integration/dbt/conftest.py
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"""
Conftest for dbt integration tests.

This is a standalone conftest that doesn't depend on the main Feast test infrastructure.
"""

import pytest

# This conftest is minimal and doesn't import the main feast conftest
# to avoid complex dependency chains for dbt-specific tests
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