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docs/tech-specs/tests.md
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docs/tech-specs/tests.md
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# Test Specification
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## Test Categories
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### Unit Tests
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Test Python modules in isolation:
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- **Generator** - Jsonnet template processing, import callbacks
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- **Packager** - Zip file creation, configuration assembly
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- **API** - Template listing, version resolution
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- **CLI** - Argument parsing, error handling, exit codes
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### Integration Tests
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Test full CLI workflow:
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- Template compilation across version/platform/config matrix
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- Output file generation (TrustGraph config + platform resources)
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- Error propagation and reporting
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### Validation Tests
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Verify correctness of generated outputs:
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- Syntax validation (JSON/YAML parsing)
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- Schema validation (structure compliance)
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- Semantic validation (cross-references, consistency)
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- Regression testing (golden files)
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## Test Matrix
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**Dimensions:**
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- Versions: 1.6, 1.7, 1.8
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- Platforms: docker-compose, podman-compose, minikube-k8s, gcp-k8s, aks-k8s, eks-k8s, scw-k8s, ovh-k8s
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- Configs: minimal.json, complex-rag.json, multi-service.json, cloud-aws.json
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**Total combinations:** 3 versions × 8 platforms × 4 configs = 96 combinations per output type = 192 tests
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## Validation Approaches
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### Syntax Validation
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- **JSON**: Parse with `json.loads()`, check no exceptions
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- **YAML**: Parse with `yaml.safe_load()`, check no exceptions
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- **Docker Compose**: Validate with `docker-compose config`
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- **Kubernetes**: Validate with `kubectl apply --dry-run=client`
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### Schema Validation
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- **TrustGraph Config**: Define JSON schema, validate with `jsonschema`
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- Required fields: services, modules, parameters
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- Type checking for all configuration values
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- Enum validation for fixed sets (llm providers, platforms)
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- **Kubernetes**: Check required fields
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- apiVersion, kind, metadata present
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- metadata.name, metadata.namespace defined
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- spec structure matches resource kind
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- **Docker Compose**: Check required fields
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- services defined with image/build
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- Valid port mappings
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- Valid volume definitions
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### Semantic Validation
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#### Kubernetes Resources
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- **Label/Selector matching**: Deployment selectors match pod labels
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- **Volume references**: volumeMounts reference defined volumes
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- **Service targeting**: Service selectors match deployment labels
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- **Port consistency**: containerPort matches service targetPort
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- **ConfigMap/Secret references**: Referenced resources exist in manifest
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#### Docker Compose
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- **Service dependencies**: depends_on references valid services
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- **Volume references**: Volume names in bind mounts are defined
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- **Network references**: Networks used by services are defined
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- **Port conflicts**: No duplicate host port bindings
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- **Environment variable references**: ${VAR} expansions are resolvable
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#### TrustGraph Config
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- **Service references**: Configured services reference valid modules
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- **Parameter validation**: Module parameters match schema
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- **Storage consistency**: Graph/object/vector stores configured correctly
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- **LLM configuration**: Valid model IDs, API configurations
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### Golden File Testing
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Store reference outputs for each test case:
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- **Location**: `tests/golden/{version}/{platform}/{config}/`
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- **Files**:
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- `tg-config.json` - Reference TrustGraph configuration
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- `resources.yaml` - Reference platform resources
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- **Comparison**: Use `pytest-golden` for automatic diff generation
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- **Updates**: Explicit flag to regenerate golden files when intentional changes occur
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## Test Cases
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### Compilation Tests
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For each (version, platform, config) combination:
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1. Run `tg-build-deployment -t {version} -p {platform} -i {config} -O`
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2. Assert exit code = 0
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3. Assert stdout contains valid JSON
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4. Parse and validate TrustGraph config structure
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5. Run `tg-build-deployment -t {version} -p {platform} -i {config} -R`
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6. Assert exit code = 0
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7. Assert stdout contains valid YAML
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8. Parse and validate resource manifest structure
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### Error Handling Tests
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- **Invalid config**: Malformed JSON input → exit code 1, error to stderr
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- **Missing file**: Non-existent config file → exit code 1, error to stderr
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- **Invalid template**: Non-existent version → exit code 1, error to stderr
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- **Invalid platform**: Non-existent platform → exit code 1, error to stderr
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- **Template errors**: Jsonnet compilation errors → exit code 1, error to stderr
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### CLI Interface Tests
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- **Argument parsing**: Valid/invalid argument combinations
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- **Help output**: `-h` flag displays usage
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- **Version display**: Version flag shows package version
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- **Output modes**: `-O` and `-R` flags produce correct output types
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- **Default values**: Missing optional args use documented defaults
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### Module Unit Tests
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#### Generator
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- `process(config)` - Valid jsonnet → parsed JSON
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- `process(config)` - Invalid jsonnet → raises exception
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- Import callback mechanism works correctly
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- Template loading from package resources
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#### Packager
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- `write(config, output)` - Creates valid zip file
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- `write_tg_config(config)` - Outputs TrustGraph config to stdout
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- `write_resources(config)` - Outputs platform resources to stdout
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- Template version resolution (--latest, --latest-stable)
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- Platform-specific template selection
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## Test Execution Methods
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### Direct Function Call (Primary Method)
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Most tests call the Python entry point function directly rather than invoking the subprocess:
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```python
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from trustgraph_configurator import run
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import sys
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import json
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def test_basic_compilation(monkeypatch, capsys):
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"""Test compilation by calling run() directly"""
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# Mock sys.argv with CLI arguments
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monkeypatch.setattr(sys, 'argv', [
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'tg-build-deployment',
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'-t', '1.8',
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'-p', 'docker-compose',
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'-i', 'tests/configs/minimal.json',
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'-O'
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])
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# Call the entry point directly
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run.run()
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# Capture and validate output
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captured = capsys.readouterr()
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config = json.loads(captured.out)
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assert 'services' in config
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```
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**Advantages:**
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- **Fast**: No subprocess overhead (100x+ faster)
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- **Easy stdout/stderr capture**: Use pytest's `capsys` fixture
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- **Easy mocking**: Use `monkeypatch` for arguments, environment, file system
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- **Better debugging**: Direct code path, breakpoints work naturally
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- **Exit code testing**: Catch `SystemExit` exception to verify exit codes
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```python
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def test_error_handling(monkeypatch):
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"""Test that errors exit with code 1"""
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monkeypatch.setattr(sys, 'argv', [
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'tg-build-deployment',
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'-i', 'nonexistent.json'
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])
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with pytest.raises(SystemExit) as exc_info:
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run.run()
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assert exc_info.value.code == 1
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```
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### Subprocess Invocation (Smoke Tests)
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A small number of tests (1-2) should invoke the actual CLI executable to verify installation:
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```python
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import subprocess
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def test_cli_executable_installed():
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"""Verify the installed CLI entry point works"""
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result = subprocess.run(
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['tg-build-deployment', '--help'],
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capture_output=True,
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text=True
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)
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assert result.returncode == 0
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assert 'usage:' in result.stdout
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def test_cli_version_command():
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"""Verify version command works from CLI"""
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result = subprocess.run(
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['tg-build-deployment', '--version'],
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capture_output=True,
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text=True
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)
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assert result.returncode == 0
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```
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**Purpose:**
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- Verify `pyproject.toml` entry point configuration is correct
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- Verify CLI is accessible in PATH after installation
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- End-to-end smoke test
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**Limitations:**
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- Slower (subprocess overhead)
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- Harder to mock/patch
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- Less detailed error information
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### Fixture for Direct Execution
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Create a reusable fixture for calling configurator:
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```python
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# tests/conftest.py
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import pytest
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import sys
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from io import StringIO
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@pytest.fixture
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def run_configurator(monkeypatch, capsys):
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"""Fixture to run configurator with given arguments"""
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def _run(args):
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"""
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Run configurator with args list.
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Returns (stdout, stderr, exit_code)
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"""
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from trustgraph_configurator import run
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monkeypatch.setattr(sys, 'argv', ['tg-build-deployment'] + args)
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exit_code = 0
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try:
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run.run()
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except SystemExit as e:
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exit_code = e.code or 0
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captured = capsys.readouterr()
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return captured.out, captured.err, exit_code
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return _run
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```
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**Usage:**
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```python
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def test_with_fixture(run_configurator):
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stdout, stderr, code = run_configurator([
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'-t', '1.8',
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'-p', 'docker-compose',
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'-i', 'tests/configs/minimal.json',
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'-O'
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])
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assert code == 0
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assert json.loads(stdout)
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```
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## Test Infrastructure
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### Pytest Configuration
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```toml
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[tool.pytest.ini_options]
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testpaths = ["tests"]
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python_files = ["test_*.py"]
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python_classes = ["Test*"]
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python_functions = ["test_*"]
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addopts = [
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"-v",
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"--strict-markers",
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"--cov=trustgraph_configurator",
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"--cov-report=term-missing",
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"--cov-report=html",
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]
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markers = [
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"unit: Unit tests",
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"integration: Integration tests",
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"validation: Output validation tests",
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"slow: Slow-running tests",
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]
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```
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### Fixtures (`tests/conftest.py`)
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- `test_config_dir` - Path to tests/configs/
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- `test_configs` - Dict of loaded test configurations
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- `temp_output_dir` - Temporary directory for test outputs
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- `run_configurator` - Function to execute configurator CLI
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- `golden_dir` - Path to golden file directory for test case
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### Parametrization
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Use `pytest.mark.parametrize` for matrix testing:
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```python
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@pytest.mark.parametrize("version", ["1.6", "1.7", "1.8"])
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@pytest.mark.parametrize("platform", ["docker-compose", "minikube-k8s", ...])
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@pytest.mark.parametrize("config", ["minimal.json", "complex-rag.json", ...])
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def test_compilation(version, platform, config, run_configurator):
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...
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```
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### Parallel Execution
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Use pytest-xdist for parallel test execution:
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```bash
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pytest -n auto # Use all CPU cores
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```
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## Test File Organization
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```
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tests/
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├── conftest.py # Shared fixtures
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├── unit/
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│ ├── test_generator.py
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│ ├── test_packager.py
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│ ├── test_api.py
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│ └── test_run.py
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├── integration/
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│ ├── test_compilation.py # Template compilation matrix
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│ ├── test_cli.py # CLI interface tests
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│ └── test_errors.py # Error handling tests
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├── validation/
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│ ├── test_syntax.py # Syntax validation
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│ ├── test_schema.py # Schema validation
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│ ├── test_semantics_k8s.py
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│ ├── test_semantics_docker.py
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│ └── test_semantics_tg.py
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├── configs/ # Test input configs (existing)
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├── schemas/ # JSON schemas for validation
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│ ├── trustgraph-config.schema.json
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│ ├── kubernetes-deployment.schema.json
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│ └── docker-compose.schema.json
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├── golden/ # Reference outputs
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│ └── {version}/{platform}/{config}/
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│ ├── tg-config.json
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│ └── resources.yaml
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└── validators/ # Validation helper modules
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├── kubernetes.py
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├── docker_compose.py
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└── trustgraph.py
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```
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## Development Dependencies
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Add to pyproject.toml:
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```toml
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[project.optional-dependencies]
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dev = [
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"pytest>=7.0",
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"pytest-xdist>=3.0", # Parallel execution
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"pytest-cov>=4.0", # Coverage reporting
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"pytest-golden>=0.2", # Golden file testing
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"jsonschema>=4.0", # Schema validation
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"pyyaml>=6.0", # Already in main deps
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]
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```
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Install for development:
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```bash
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pip install -e .[dev]
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```
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## CI/CD Integration
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Update `.github/workflows/pull-request.yaml`:
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```yaml
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- name: Install dependencies
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run: |
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python3 -m venv env
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. env/bin/activate
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pip install -e .[dev]
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- name: Run tests
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run: |
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. env/bin/activate
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pytest -n auto --cov --cov-report=xml
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- name: Upload coverage
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uses: codecov/codecov-action@v3
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with:
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file: ./coverage.xml
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```
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## Running Tests
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```bash
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# All tests
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pytest
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# Specific category
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pytest tests/unit/
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pytest tests/integration/
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pytest -m validation
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# Specific test file
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pytest tests/unit/test_generator.py
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# Parallel execution
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pytest -n auto
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# With coverage
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pytest --cov=trustgraph_configurator --cov-report=html
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# Update golden files
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pytest --update-golden
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# Verbose output
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pytest -v
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# Stop on first failure
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pytest -x
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```
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