# test/unit/teleprompter/simba/strategy/append_rule_test.exs
defmodule DSPEx.Teleprompter.SIMBA.Strategy.AppendRuleTest do
  use ExUnit.Case
  
  describe "AppendRule strategy" do
    test "generates instruction improvements from trajectory analysis" do
      # Test rule generation from successful vs unsuccessful trajectories
    end
    
    test "validates applicability requirements" do
      # Test strategy applicability based on trajectory variance
    end
    
    test "applies instruction improvements to programs" do
      # Test program enhancement with generated rules
    end
    
    test "handles insufficient trajectory data gracefully" do
      # Test behavior with limited or homogeneous trajectories
    end
    
    test "integrates with Elixact signature system" do
      # Test OfferFeedback signature usage and validation
    end
  end
end

# test/integration/simba_elixact_integration_test.exs
defmodule DSPEx.Integration.SimbaElixactTest do
  use ExUnit.Case
  
  describe "SIMBA with Elixact signatures" do
    test "optimizes complex typed signatures" do
      # Test SIMBA optimization with rich Elixact schemas
      signature = create_complex_elixact_signature()
      program = DSPEx.Predict.new(signature)
      
      training_data = create_validated_training_examples()
      metric_fn = &validated_answer_exact_match/2
      
      simba = DSPEx.Teleprompter.Simba.new(strategies: [:append_demo, :append_rule])
      
      {:ok, optimized} = DSPEx.Teleprompter.Simba.compile(simba, program, training_data, metric_fn)
      
      # Verify optimization with type safety
      assert optimized.performance.average_score > program.performance.average_score
      assert validate_elixact_schema_compliance(optimized)
    end
    
    test "handles schema validation errors during optimization" do
      # Test behavior when LLM outputs don't match Elixact schemas
    end
    
    test "validates demo generation with complex field types" do
      # Test demo creation with nested schemas, custom types
    end
    
    test "preserves type safety throughout optimization pipeline" do
      # Test that all optimization steps maintain Elixact compliance
    end
  end
end

# test/unit/teleprompter/simba_edge_cases_test.exs
defmodule DSPEx.Teleprompter.SIMBA.EdgeCasesTest do
  use ExUnit.Case
  
  describe "edge case handling" do
    test "handles empty trajectory buckets gracefully" do
      # Test behavior when no successful trajectories exist
    end
    
    test "recovers from malformed LLM responses" do
      # Test handling of unparseable or invalid LLM outputs
    end
    
    test "manages memory pressure during large optimizations" do
      # Test behavior with very large training sets (1000+ examples)
    end
    
    test "handles temperature edge values correctly" do
      # Test temperature values: 0.0, 1.0, very small, very large
    end
    
    test "recovers from metric function failures" do
      # Test behavior when evaluation metrics raise exceptions
    end
    
    test "handles network timeouts during trajectory sampling" do
      # Test resilience to provider timeout errors
    end
    
    test "manages concurrent task failures gracefully" do
      # Test behavior when parallel trajectory tasks crash
    end
  end
end

# test/performance/simba_scaling_test.exs
defmodule DSPEx.Performance.SimbaScalingTest do
  use ExUnit.Case
  
  @moduletag timeout: :infinity
  @moduletag :performance
  
  describe "SIMBA scaling behavior" do
    test "maintains performance with large training sets" do
      # Test optimization time scaling with 10x, 100x training data
      training_sizes = [10, 100, 1000]
      
      results = Enum.map(training_sizes, fn size ->
        training_data = generate_training_data(size)
        {time, _result} = :timer.tc(fn -> run_simba_optimization(training_data) end)
        {size, time}
      end)
      
      # Verify sub-quadratic scaling
      assert_scaling_behavior(results, max_complexity: :linear)
    end
    
    test "memory usage remains bounded during optimization" do
      # Test memory consumption with large optimization runs
    end
    
    test "concurrent trajectory sampling scales appropriately" do
      # Test performance with varying concurrency levels
    end
  end
end

# test/performance/simba_benchmark_test.exs  
defmodule DSPEx.Performance.SimbaBenchmarkTest do
  use ExUnit.Case
  
  @moduletag :benchmark
  
  describe "SIMBA vs baseline comparisons" do
    test "SIMBA outperforms BootstrapFewShot on standard datasets" do
      # Comparative performance analysis
    end
    
    test "optimization convergence rate analysis" do
      # Test how quickly SIMBA reaches optimal performance
    end
  end
end

# test/unit/teleprompter/simba_strategy_composition_test.exs
defmodule DSPEx.Teleprompter.SIMBA.StrategyCompositionTest do
  use ExUnit.Case
  
  describe "strategy composition and interaction" do
    test "applies multiple strategies in optimal order" do
      # Test sequential strategy application
      strategies = [:append_demo, :append_rule]
      simba = DSPEx.Teleprompter.Simba.new(strategies: strategies)
      
      # Verify both strategies contribute to optimization
    end
    
    test "handles strategy conflicts appropriately" do
      # Test when strategies produce conflicting improvements
    end
    
    test "validates custom strategy implementation" do
      # Test framework support for user-defined strategies
    end
    
    test "optimizes strategy selection based on performance" do
      # Test adaptive strategy selection based on results
    end
  end
end

# test/integration/simba_provider_compatibility_test.exs
defmodule DSPEx.Integration.SimbaProviderCompatibilityTest do
  use ExUnit.Case
  
  describe "multi-provider SIMBA optimization" do
    test "optimizes across different LLM providers" do
      # Test SIMBA with OpenAI, Anthropic, Google providers
    end
    
    test "handles provider-specific response formats" do
      # Test adaptation to different response structures
    end
  end
end

# test/integration/simba_telemetry_test.exs
defmodule DSPEx.Integration.SimbaTelemetryTest do
  use ExUnit.Case
  
  describe "SIMBA telemetry and monitoring" do
    test "emits comprehensive optimization metrics" do
      # Test telemetry event emission during optimization
    end
    
    test "tracks performance improvements over time" do
      # Test historical performance tracking
    end
  end
end