Agent skill
palantir-ci-integration
Configure CI/CD pipelines for Palantir Foundry integrations with GitHub Actions. Use when setting up automated testing, running transforms validation, or integrating Foundry SDK tests into your build process. Trigger with phrases like "palantir CI", "foundry GitHub Actions", "palantir automated tests", "CI foundry".
Install this agent skill to your Project
npx add-skill https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/main/plugins/saas-packs/palantir-pack/skills/palantir-ci-integration
SKILL.md
Palantir CI Integration
Overview
Set up GitHub Actions CI pipelines for Foundry integrations. Covers running transform unit tests with PySpark, SDK integration tests with mocked APIs, and linting Foundry-specific patterns.
Prerequisites
- GitHub repository with Foundry integration code
foundry-platform-sdkin requirements- pytest test suite
Instructions
Step 1: GitHub Actions Workflow
# .github/workflows/foundry-ci.yml
name: Foundry CI
on:
push:
branches: [main]
pull_request:
jobs:
test:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- name: Set up Python
uses: actions/setup-python@v5
with:
python-version: "3.11"
cache: pip
- name: Set up Java (for PySpark)
uses: actions/setup-java@v4
with:
distribution: temurin
java-version: "11"
- name: Install dependencies
run: pip install -r requirements.txt
- name: Run unit tests
run: pytest tests/ -v --tb=short --junitxml=test-results.xml
- name: Upload test results
if: always()
uses: actions/upload-artifact@v4
with:
name: test-results
path: test-results.xml
lint:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- uses: actions/setup-python@v5
with:
python-version: "3.11"
- run: pip install ruff
- run: ruff check src/ tests/
integration:
runs-on: ubuntu-latest
if: github.event_name == 'push' && github.ref == 'refs/heads/main'
needs: [test, lint]
steps:
- uses: actions/checkout@v4
- uses: actions/setup-python@v5
with:
python-version: "3.11"
- run: pip install -r requirements.txt
- name: Run integration smoke test
env:
FOUNDRY_HOSTNAME: ${{ secrets.FOUNDRY_HOSTNAME }}
FOUNDRY_CLIENT_ID: ${{ secrets.FOUNDRY_CLIENT_ID }}
FOUNDRY_CLIENT_SECRET: ${{ secrets.FOUNDRY_CLIENT_SECRET }}
run: python scripts/smoke_test.py
Step 2: Secret Configuration
# Add secrets to GitHub repository
gh secret set FOUNDRY_HOSTNAME --body "mycompany.palantirfoundry.com"
gh secret set FOUNDRY_CLIENT_ID --body "your-client-id"
gh secret set FOUNDRY_CLIENT_SECRET --body "your-client-secret"
Step 3: Custom Linting Rules for Foundry
# scripts/lint_foundry.py — catch common Foundry mistakes
import ast, sys
class FoundryLinter(ast.NodeVisitor):
def visit_Str(self, node):
# Flag hardcoded Foundry hostnames
if "palantirfoundry.com" in node.s:
print(f" Line {node.lineno}: Hardcoded Foundry hostname — use env var")
# Flag hardcoded RIDs
if node.s.startswith("ri.foundry.main"):
print(f" Line {node.lineno}: Hardcoded RID — use config/env var")
for path in sys.argv[1:]:
tree = ast.parse(open(path).read())
FoundryLinter().visit(tree)
Output
- GitHub Actions workflow with unit tests, linting, and integration tests
- PySpark tests running in CI with JDK setup
- Secrets configured securely in GitHub
- Custom linting for Foundry-specific patterns
Error Handling
| CI Issue | Cause | Fix |
|---|---|---|
| PySpark tests fail | No JDK | Add setup-java step |
| Integration test 401 | Bad secrets | Re-set gh secret set |
| Slow tests | Full Spark startup | Use local[1] master |
| Import errors | Missing deps | Pin all deps in requirements.txt |
Resources
Next Steps
For deployment pipelines, see palantir-deploy-integration.
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