Integration Testing Framework Prompt
Context Recontextualization
You are working on the pipeline_ex system, an Elixir-based pipeline generator that is being enhanced with new infrastructure components and needs a comprehensive integration testing framework to ensure all components work together seamlessly.
New Enhanced Components Being Implemented
- Dynamic step registry - Runtime step type registration
- Enhanced schema validator - DSPy support and type preservation
- JSON/YAML bridge - Type-preserving format conversion
- Plugin architecture - Dynamic component loading
- Enhanced configuration system - Runtime schema extension
- Backward compatibility layer - Legacy component preservation
Current Testing Architecture
- Basic unit tests - Individual module testing
- Mock system -
Pipeline.Test.Mocks.ClaudeProvider
for testing - Test mode - Application-level test mode configuration
- Limited integration - No comprehensive integration testing
Integration Testing Requirements
- End-to-end testing - Full pipeline execution with all components
- Component interaction testing - Verify all components work together
- Performance testing - Ensure no performance degradation
- Backward compatibility testing - Validate legacy functionality
- Plugin integration testing - Test plugin loading and execution
Task
Implement a comprehensive integration testing framework that validates the entire enhanced pipeline_ex system works correctly with all components integrated.
Required Components
Integration Test Framework (
test/integration/integration_test_framework.ex
)- Comprehensive test orchestration
- Component interaction validation
- End-to-end pipeline execution testing
- Performance monitoring and validation
Component Integration Tests (
test/integration/component_integration_test.ex
)- Registry system integration testing
- Schema validation integration testing
- Configuration system integration testing
- Plugin system integration testing
Backward Compatibility Tests (
test/integration/backward_compatibility_test.ex
)- Legacy pipeline execution validation
- Existing configuration format testing
- Performance regression testing
- Error handling compatibility testing
DSPy Integration Tests (
test/integration/dspy_integration_test.ex
)- DSPy signature validation testing
- Type preservation testing
- Structured output validation testing
- Optimization workflow testing
Performance Integration Tests (
test/integration/performance_integration_test.ex
)- Load testing with multiple components
- Memory usage validation
- Execution time benchmarking
- Resource utilization monitoring
Implementation Requirements
- Comprehensive coverage - Test all component interactions
- Realistic scenarios - Use real-world pipeline configurations
- Performance validation - Ensure no performance degradation
- Error simulation - Test error handling across components
- Isolation - Tests should not interfere with each other
Integration Test Framework Structure
defmodule Pipeline.Integration.TestFramework do
@moduledoc """
Comprehensive integration testing framework for pipeline_ex enhanced components.
"""
def run_full_integration_suite do
# Initialize test environment
setup_test_environment()
# Run component integration tests
run_component_integration_tests()
# Run backward compatibility tests
run_backward_compatibility_tests()
# Run DSPy integration tests
run_dspy_integration_tests()
# Run performance integration tests
run_performance_integration_tests()
# Generate comprehensive report
generate_integration_report()
end
defp setup_test_environment do
# Initialize all enhanced components
{:ok, _} = Pipeline.Enhanced.StepRegistry.start_link([])
{:ok, _} = Pipeline.Enhanced.ProviderRegistry.start_link([])
{:ok, _} = Pipeline.Enhanced.ConfigurationSystem.start_link([])
{:ok, _} = Pipeline.Enhanced.PluginManager.start_link([])
# Ensure backward compatibility
Pipeline.Enhanced.CompatibilityManager.ensure_backward_compatibility()
# Set up test data
create_test_configurations()
create_test_plugins()
end
end
Component Integration Tests
Must test all component interactions:
defmodule Pipeline.Integration.ComponentIntegrationTest do
use ExUnit.Case
describe "Registry Integration" do
test "step registry integrates with configuration system" do
# Register a custom step type
Pipeline.Enhanced.StepRegistry.register_step(
"test_step",
Pipeline.Test.TestStep,
validator: &validate_test_step/1
)
# Create configuration using the step
config = create_test_config_with_step("test_step")
# Validate configuration recognizes the step
assert {:ok, validated_config} = Pipeline.Enhanced.ConfigurationSystem.validate_config(config)
# Execute pipeline with the step
assert {:ok, result} = Pipeline.Enhanced.Executor.execute_pipeline(validated_config)
# Verify step was executed correctly
assert result["test_step"]["success"] == true
end
test "provider registry integrates with step execution" do
# Register a custom provider
Pipeline.Enhanced.ProviderRegistry.register_provider(
"test_provider",
Pipeline.Test.TestProvider,
[:test_capability]
)
# Create step that uses the provider
step = %{
"name" => "test_step",
"type" => "claude",
"provider" => "test_provider"
}
# Execute step with custom provider
context = create_test_context()
assert {:ok, result} = Pipeline.Enhanced.Executor.execute_step(step, context)
# Verify provider was used
assert result["provider_used"] == "test_provider"
end
end
describe "Schema Validation Integration" do
test "enhanced validator integrates with configuration system" do
# Create configuration with DSPy extensions
config = create_dspy_test_config()
# Validate with DSPy extensions
assert {:ok, validated_config} = Pipeline.Enhanced.ConfigurationSystem.validate_config(
config,
["dspy"]
)
# Verify DSPy-specific validation was applied
assert validated_config["workflow"]["dspy_config"]["optimization_enabled"] == true
end
end
describe "Plugin System Integration" do
test "plugin loading integrates with all registries" do
# Load test plugin
plugin_config = create_test_plugin_config()
assert {:ok, plugin_state} = Pipeline.Enhanced.PluginManager.load_plugin(
"test_plugin",
Pipeline.Test.TestPlugin,
plugin_config
)
# Verify plugin components were registered
assert {:ok, _} = Pipeline.Enhanced.StepRegistry.get_step_module("plugin_step")
assert {:ok, _} = Pipeline.Enhanced.ProviderRegistry.get_provider("plugin_provider")
# Verify plugin schema extensions were registered
assert {:ok, schema} = Pipeline.Enhanced.ConfigurationSystem.get_compiled_schema(["plugin_extension"])
assert schema["properties"]["plugin_config"] != nil
end
end
end
Backward Compatibility Tests
Must ensure legacy functionality works:
defmodule Pipeline.Integration.BackwardCompatibilityTest do
use ExUnit.Case
describe "Legacy Pipeline Execution" do
test "existing pipelines execute without modification" do
# Load existing pipeline configuration
{:ok, legacy_config} = Pipeline.Config.load_config("test/fixtures/legacy_pipeline.yaml")
# Execute with enhanced system
assert {:ok, result} = Pipeline.Enhanced.Executor.execute_pipeline(legacy_config)
# Verify results match legacy behavior
assert result["claude_step"]["success"] == true
assert result["gemini_step"]["success"] == true
end
test "legacy step types work with enhanced executor" do
legacy_step_types = [
"claude", "gemini", "claude_smart", "claude_session",
"claude_extract", "claude_batch", "claude_robust",
"parallel_claude", "gemini_instructor", "set_variable"
]
Enum.each(legacy_step_types, fn step_type ->
step = create_legacy_step(step_type)
context = create_test_context()
assert {:ok, result} = Pipeline.Enhanced.Executor.execute_step(step, context)
assert result["success"] == true
end)
end
test "legacy configurations load correctly" do
legacy_configs = [
"test/fixtures/claude_pipeline.yaml",
"test/fixtures/gemini_pipeline.yaml",
"test/fixtures/mixed_pipeline.yaml"
]
Enum.each(legacy_configs, fn config_path ->
assert {:ok, config} = Pipeline.Enhanced.ConfigurationManager.load_config(config_path)
assert config["workflow"]["name"] != nil
assert length(config["workflow"]["steps"]) > 0
end)
end
end
describe "Performance Regression Tests" do
test "enhanced system performance matches legacy system" do
# Load test pipeline
{:ok, config} = Pipeline.Config.load_config("test/fixtures/performance_test_pipeline.yaml")
# Measure legacy execution time
{legacy_time, {:ok, legacy_result}} = :timer.tc(fn ->
Pipeline.Executor.execute_pipeline(config)
end)
# Measure enhanced execution time
{enhanced_time, {:ok, enhanced_result}} = :timer.tc(fn ->
Pipeline.Enhanced.Executor.execute_pipeline(config)
end)
# Verify performance is not significantly degraded (within 20%)
assert enhanced_time <= legacy_time * 1.2
# Verify results are equivalent
assert normalize_result(enhanced_result) == normalize_result(legacy_result)
end
end
end
DSPy Integration Tests
Must test DSPy-specific functionality:
defmodule Pipeline.Integration.DSPyIntegrationTest do
use ExUnit.Case
describe "DSPy Pipeline Execution" do
test "DSPy signature validation works end-to-end" do
# Create DSPy-enhanced pipeline
dspy_config = create_dspy_pipeline_config()
# Load plugin if needed
Pipeline.Enhanced.PluginManager.load_plugin(
"dspy_plugin",
Pipeline.Plugins.DSPyPlugin,
%{"optimization_enabled" => true}
)
# Validate configuration with DSPy extensions
assert {:ok, validated_config} = Pipeline.Enhanced.ConfigurationSystem.validate_config(
dspy_config,
["dspy"]
)
# Execute pipeline
assert {:ok, result} = Pipeline.Enhanced.Executor.execute_pipeline(validated_config)
# Verify DSPy-specific results
assert result["dspy_claude_step"]["dspy_optimization_applied"] == true
assert result["dspy_claude_step"]["signature_validated"] == true
end
test "type preservation works with DSPy signatures" do
# Create DSPy signature with specific types
signature = create_typed_dspy_signature()
# Convert through JSON/YAML bridge
{:ok, json_signature} = Pipeline.Bridge.DSPySupport.convert_dspy_signature(signature)
# Verify types are preserved
assert json_signature["input_fields"][0]["type"] == "string"
assert json_signature["output_fields"][0]["schema"]["properties"]["score"]["type"] == "number"
end
end
describe "Structured Output Validation" do
test "DSPy structured outputs are validated correctly" do
# Create DSPy signature
signature = create_analysis_dspy_signature()
# Create mock structured output
structured_output = %{
"analysis" => %{
"issues" => ["Issue 1", "Issue 2"],
"score" => 85
}
}
# Validate against signature
assert {:ok, validated_output} = Pipeline.DSPy.OutputValidator.validate_structured_output(
structured_output,
signature
)
# Verify validation results
assert validated_output["analysis"]["score"] == 85
assert length(validated_output["analysis"]["issues"]) == 2
end
end
end
Performance Integration Tests
Must validate system performance:
defmodule Pipeline.Integration.PerformanceIntegrationTest do
use ExUnit.Case
describe "Load Testing" do
test "system handles concurrent pipeline execution" do
# Create multiple pipeline configurations
configs = create_concurrent_test_configs(10)
# Execute pipelines concurrently
tasks = Enum.map(configs, fn config ->
Task.async(fn ->
Pipeline.Enhanced.Executor.execute_pipeline(config)
end)
end)
# Wait for all tasks to complete
results = Task.await_many(tasks, 30_000)
# Verify all executions succeeded
Enum.each(results, fn result ->
assert {:ok, _} = result
end)
end
test "memory usage remains stable under load" do
# Measure initial memory usage
initial_memory = :erlang.memory(:total)
# Execute multiple pipelines
Enum.each(1..50, fn _ ->
config = create_test_config()
{:ok, _} = Pipeline.Enhanced.Executor.execute_pipeline(config)
end)
# Force garbage collection
:erlang.garbage_collect()
# Measure final memory usage
final_memory = :erlang.memory(:total)
# Verify memory usage hasn't grown excessively (within 50%)
assert final_memory <= initial_memory * 1.5
end
end
describe "Registry Performance" do
test "step registry lookups remain fast under load" do
# Register many step types
Enum.each(1..1000, fn i ->
Pipeline.Enhanced.StepRegistry.register_step(
"test_step_#{i}",
Pipeline.Test.TestStep,
metadata: %{test_id: i}
)
end)
# Measure lookup performance
{lookup_time, {:ok, _}} = :timer.tc(fn ->
Pipeline.Enhanced.StepRegistry.get_step_module("test_step_500")
end)
# Verify lookup is fast (< 1ms)
assert lookup_time < 1_000
end
end
end
Test Utilities and Fixtures
Must provide comprehensive test utilities:
defmodule Pipeline.Integration.TestUtilities do
def create_test_config do
%{
"workflow" => %{
"name" => "integration_test_pipeline",
"steps" => [
%{
"name" => "test_step",
"type" => "claude",
"prompt" => "Test prompt"
}
]
}
}
end
def create_dspy_pipeline_config do
%{
"workflow" => %{
"name" => "dspy_test_pipeline",
"dspy_config" => %{
"optimization_enabled" => true,
"evaluation_mode" => "bootstrap_few_shot"
},
"steps" => [
%{
"name" => "dspy_analysis",
"type" => "dspy_claude",
"dspy_signature" => create_test_dspy_signature()
}
]
}
}
end
def create_test_dspy_signature do
%{
"input_fields" => [
%{
"name" => "code",
"type" => "string",
"description" => "Source code to analyze"
}
],
"output_fields" => [
%{
"name" => "analysis",
"type" => "object",
"description" => "Analysis results",
"schema" => %{
"type" => "object",
"properties" => %{
"issues" => %{"type" => "array", "items" => %{"type" => "string"}},
"score" => %{"type" => "number", "minimum" => 0, "maximum" => 100}
}
}
}
]
}
end
end
Test Reporting and Monitoring
Must provide comprehensive test reporting:
defmodule Pipeline.Integration.TestReporting do
def generate_integration_report(test_results) do
report = %{
summary: generate_summary(test_results),
component_integration: test_results.component_integration,
backward_compatibility: test_results.backward_compatibility,
dspy_integration: test_results.dspy_integration,
performance: test_results.performance,
recommendations: generate_recommendations(test_results)
}
write_report_to_file(report)
send_report_to_monitoring(report)
report
end
defp generate_summary(test_results) do
%{
total_tests: count_total_tests(test_results),
passed_tests: count_passed_tests(test_results),
failed_tests: count_failed_tests(test_results),
success_rate: calculate_success_rate(test_results),
execution_time: calculate_total_execution_time(test_results)
}
end
end
Implement this integration testing framework as a complete, production-ready solution that ensures all enhanced components work together seamlessly while maintaining backward compatibility and performance.