dataverse-python-testing-debugging — GitHub Copilot rule: setup & use
Instructs GitHub Copilot on testing and debugging Python Dataverse SDK apps. Provides pytest fixture patterns, mock responses, and integration setups.
.github/instructions/dataverse-python-testing-debugging.instructions.mdWhat dataverse-python-testing-debugging does
This rule defines testing patterns for Dataverse SDK code in Python. It includes fixtures for mocking DataverseClient, handling paginated query results, and validating batch record creation. It also details error handling simulation for transient issues like HTTP 429 rate limits.
Integration testing patterns rely on InteractiveBrowserCredential to run tests against live Dataverse instances. A cleanup fixture yields test account IDs and deletes records after test execution.
Running live integration checks demands an active Dataverse environment and azure-identity. Without installing pytest-cov, coverage reporting configured in .coveragerc will fail.
What it helps with
- mock
DataverseClientcalls and responses in unit tests - test paginated results and bulk record creation
- verify retry logic against HTTP 429 rate limiting
- configure integration test cleanup fixtures for real Dataverse entities
Example prompts for the agent
- Write a pytest unit test for creating an account using a mocked DataverseClient
- Create an integration test with cleanup fixtures for real Dataverse operations
- Mock a 429 DataverseError to test retry mechanisms
How to install dataverse-python-testing-debugging
Manually: put the files in place
.github/instructions/dataverse-python-testing-debugging.instructions.mdThe applyTo field sets which files it applies to
Manually: put the files in place
.claude/rules/dataverse-python-testing-debugging.mdThe paths frontmatter field limits the files: move applyTo from the source into paths
AGENTS.md
Codex reads AGENTS.md: paste the rule text there
Manually: put the files in place
.cursor/rules/dataverse-python-testing-debugging.mdcFrontmatter: description, globs, alwaysApply. Move applyTo from the source into globs, or the rule will not attach on its own
Manually: put the files in place
.devin/rules/dataverse-python-testing-debugging.mdManually: put the files in place
.clinerules/dataverse-python-testing-debugging.mdStep by step, with commands for each platform: AGENTS.md vs CLAUDE.md: what they are and which one to use
Questions about dataverse-python-testing-debugging
How to install dataverse-python-testing-debugging in GitHub Copilot?
Place the instruction file in your workspace at .github/instructions/dataverse-python-testing-debugging.instructions.md.
What does dataverse-python-testing-debugging do?
It guides Copilot to generate pytest unit tests with mocked Dataverse clients and isolated integration test workflows.
What packages are required to run these tests?
You need pytest, pytest-cov, and unittest-mock for unit tests, plus azure-identity for integration suites.
Source text
dataverse-python-testing-debugging.instructions.md · MIT
---
applyTo: '**'
---
# Dataverse SDK for Python — Testing & Debugging Strategies
Based on official Azure Functions and pytest testing patterns.
## 1. Testing Overview
### Testing Pyramid for Dataverse SDK
```
Integration Tests <- Test with real Dataverse
/\
/ \
/Unit Tests (Mocked)\
/____________________\
< Framework Tests
```
---
## 2. Unit Testing with Mocking
### Setup Test Environment
```bash
# Install test dependencies
pip install pytest pytest-cov unittest-mock
```
### Mock DataverseClient
```python
# tests/test_operations.py
import pytest
from unittest.mock import Mock, patch, MagicMock
from PowerPlatform.Dataverse.client import DataverseClient
@pytest.fixture
def mock_client():
"""Provide mocked DataverseClient."""
client = Mock(spec=DataverseClient)
return client
def test_create_account(mock_client):
"""Test account creation with mocked client."""
# Setup mock response
mock_client.create.return_value = ["id-123"]
# Call function
from my_app import create_account
result = create_account(mock_client, {"name": "Acme"})
# Verify
assert result == "id-123"
mock_client.create.assert_called_once_with("account", {"name": "Acme"})
def test_create_account_error(mock_client):
"""Test error handling in account creation."""
from PowerPlatform.Dataverse.core.errors import DataverseError
# Setup mock to raise error
mock_client.create.side_effect = DataverseError(
message="Account exists",
code="validation_error",
status_code=400
)
# Verify error is raised
from my_app import create_account
with pytest.raises(DataverseError):
create_account(mock_client, {"name": "Acme"})
```
### Test Data Structures
```python
# tests/fixtures.py
import pytest
@pytest.fixture
def sample_account():
"""Sample account record for testing."""
return {
"accountid": "id-123",
"name": "Acme Inc",
"telephone1": "555-0100",
"statecode": 0,
"createdon": "2025-01-01T00:00:00Z"
}
@pytest.fixture
def sample_accounts(sample_account):
"""Multiple sample accounts."""
return [
sample_account,
{**sample_account, "accountid": "id-124", "name": "Fabrikam"},
{**sample_account, "accountid": "id-125", "name": "Contoso"},
]
# Usage in tests
def test_process_accounts(mock_client, sample_accounts):
mock_client.get.return_value = iter([sample_accounts])
# Test processing
```
---
## 3. Mocking Common Patterns
### Mock Get with Pagination
```python
def test_pagination(mock_client, sample_accounts):
"""Test handling paginated results."""
# Mock returns generator with pages
mock_client.get.return_value = iter([
sample_accounts[:2], # Page 1
sample_accounts[2:] # Page 2
])
from my_app import process_all_accounts
result = process_all_accounts(mock_client)
assert len(result) == 3 # All pages processed
```
### Mock Bulk Operations
```python
def test_bulk_create(mock_client):
"""Test bulk account creation."""
payloads = [
{"name": "Account 1"},
{"name": "Account 2"},
]
# Mock returns list of IDs
mock_client.create.return_value = ["id-1", "id-2"]
from my_app import create_accounts
ids = create_accounts(mock_client, payloads)
assert len(ids) == 2
mock_client.create.assert_called_once_with("account", payloads)
```
### Mock Errors
```python
def test_rate_limiting_retry(mock_client):
"""Test retry logic on rate limiting."""
from PowerPlatform.Dataverse.core.errors import DataverseError
# Mock fails then succeeds
error = DataverseError(
message="Too many requests",
code="http_error",
status_code=429,
is_transient=True
)
mock_client.create.side_effect = [error, ["id-123"]]
from my_app import create_with_retry
result = create_with_retry(mock_client, "account", {})
assert result == "id-123"
assert mock_client.create.call_count == 2 # Retried
```
---
## 4. Integration Testing
### Local Development Testing
```python
# tests/test_integration.py
import pytest
from azure.identity import InteractiveBrowserCredential
from PowerPlatform.Dataverse.client import DataverseClient
@pytest.fixture
def dataverse_client():
"""Real client for integration testing."""
client = DataverseClient(
base_url="https://myorg-dev.crm.dynamics.com",
credential=InteractiveBrowserCredential()
)
return client
@pytest.mark.integration
def test_create_and_retrieve_account(dataverse_client):
"""Test creating and retrieving account (against real Dataverse)."""
# Create
account_id = dataverse_client.create("account", {
"name": "Test Account"
})[0]
# Retrieve
account = dataverse_client.get("account", account_id)
# Verify
assert account["name"] == "Test Account"
# Cleanup
dataverse_client.delete("account", account_id)
```
### Test Isolation
```python
# tests/conftest.py
import pytest
@pytest.fixture(scope="function")
def test_account(dataverse_client):
"""Create test account, cleanup after test."""
account_id = dataverse_client.create("account", {
"name": "Test Account"
})[0]
yield account_id
# Cleanup
try:
dataverse_client.delete("account", account_id)
except:
pass # Already deleted
# Usage
def test_update_account(dataverse_client, test_account):
"""Test updating account."""
dataverse_client.update("account", test_account, {"telephone1": "555-0100"})
account = dataverse_client.get("account", test_account)
assert account["telephone1"] == "555-0100"
```
---
## 5. Pytest Configuration
### pytest.ini
```ini
[pytest]
# Skip integration tests by default
testpaths = tests
python_files = test_*.py
python_classes = Test*
python_functions = test_*
markers =
integration: marks tests as integration (run with -m integration)
slow: marks tests as slow
unit: marks tests as unit tests
```
### Run Tests
```bash
# Unit tests only
pytest
# Unit + integration
pytest -m "unit or integration"
# Integration only
pytest -m integration
# With coverage
pytest --cov=my_app tests/
# Specific test
pytest tests/test_operations.py::test_create_account
```
---
## 6. Coverage Analysis
### Generate Coverage Report
```bash
# Run tests with coverage
pytest --cov=my_app --cov-report=html tests/
# View coverage
open htmlcov/index.html # macOS
start htmlcov/index.html # Windows
```
### Coverage Configuration (.coveragerc)
```ini
[run]
branch = True
source = my_app
[report]
exclude_lines =
pragma: no cover
def __repr__
raise AssertionError
raise NotImplementedError
if __name__ == .__main__.:
[html]
directory = htmlcov
```
---
## 7. Debugging with print/logging
### Enable Debug Logging
```python
import logging
import sys
# Configure logging
logging.basicConfig(
level=logging.DEBUG,
format='%(asctime)s - %(name)s - %(levelname)s - %(message)s',
handlers=[
logging.StreamHandler(sys.stdout),
logging.FileHandler('debug.log')
]
)
# Enable SDK logging
logging.getLogger('PowerPlatform').setLevel(logging.DEBUG)
logging.getLogger('azure').setLevel(logging.DEBUG)
# In test
def test_with_logging(mock_client):
logger = logging.getLogger(__name__)
logger.debug("Starting test")
result = my_function(mock_client)
logger.debug(f"Result: {result}")
```
### Pytest Capturing Output
```bash
# Show print/logging output in tests
pytest -s tests/
# Capture and show on failure only
pytest --tb=short tests/
```
---
## 8. Performance Testing
### Measure Operation Duration
```python
import pytest
import time
def test_bulk_create_performance(dataverse_client):
"""Test bulk create performance."""
payloads = [{"name": f"Account {i}"} for i in range(1000)]
start = time.time()
ids = dataverse_client.create("account", payloads)
duration = time.time() - start
assert len(ids) == 1000
assert duration < 10 # Should complete in under 10 seconds
print(f"Created 1000 records in {duration:.2f}s ({1000/duration:.0f} records/s)")
```
### Pytest Benchmark Plugin
```bash
pip install pytest-benchmark
```
```python
def test_query_performance(benchmark, dataverse_client):
"""Benchmark query performance."""
def get_accounts():
return list(dataverse_client.get("account", top=100))
result = benchmark(get_accounts)
assert len(result) <= 100
```
---
## 9. Common Testing Patterns
### Testing Retry Logic
```python
def test_retry_on_transient_error(mock_client):
"""Test retry on transient error."""
from PowerPlatform.Dataverse.core.errors import DataverseError
error = DataverseError(
message="Timeout",
code="http_error",
status_code=408,
is_transient=True
)
# Fail then succeed
mock_client.create.side_effect = [error, ["id-123"]]
from my_app import create_with_retry
result = create_with_retry(mock_client, "account", {})
assert result == "id-123"
```
### Testing Filter Building
```python
def test_filter_builder():
"""Test OData filter generation."""
from my_app import build_account_filter
# Test cases
assert build_account_filter(status="active") == "statecode eq 0"
assert build_account_filter(name="Acme") == "contains(name, 'Acme')"
assert build_account_filter(status="active", name="Acme") \
== "statecode eq 0 and contains(name, 'Acme')"
```
### Testing Error Handling
```python
def test_handles_missing_record(mock_client):
"""Test handling 404 errors."""
from PowerPlatform.Dataverse.core.errors import DataverseError
mock_client.get.side_effect = DataverseError(
message="Not found",
code="http_error",
status_code=404
)
from my_app import get_account_safe
result = get_account_safe(mock_client, "invalid-id")
assert result is None # Returns None instead of raising
```
---
## 10. Debugging Checklist
| Issue | Debug Steps |
|-------|-------------|
| Test fails unexpectedly | Add `-s` flag to see print output |
| Mock not called | Check method name/parameters match exactly |
| Real API failing | Check credentials, URL, permissions |
| Rate limiting in tests | Add delays or use smaller batches |
| Data not found | Verify record created and not cleaned up |
| Assertion errors | Print actual vs expected values |
---
## 11. See Also
- [Pytest Documentation](https://docs.pytest.org/)
- [unittest.mock Reference](https://docs.python.org/3/library/unittest.mock.html)
- [Azure Functions Testing](https://learn.microsoft.com/en-us/azure/azure-functions/functions-reference-python#unit-testing)
- [Dataverse SDK Examples](https://github.com/microsoft/PowerPlatform-DataverseClient-Python/tree/main/examples)
© github · MIT · github/awesome-copilot