use rtx_auto::{
    error::AutoError,
    proposal::{Proposal, ProposalStatus, ProposalType, ProposalValidator},
};
use rtx_runtime::Runtime;
use serde_json;
use std::sync::Arc;
use tokio_test;

#[tokio::test]
async fn test_proposal_creation() {
    let proposal = Proposal::new(
        ProposalType::DataLayout,
        "Optimize tensor layout for better cache locality".to_string(),
        2.5, // Expected 2.5x performance gain
    );

    assert_eq!(proposal.proposal_type(), ProposalType::DataLayout);
    assert_eq!(proposal.status(), ProposalStatus::Pending);
    assert_eq!(proposal.expected_performance_gain(), 2.5);
    assert!(proposal.description().contains("cache locality"));
    assert!(proposal.id().len() > 0);
    assert!(proposal.created_at() > 0);
}

#[tokio::test]
async fn test_proposal_serialization() {
    let proposal = Proposal::new(
        ProposalType::KernelFusion,
        "Fuse relu and bias_add kernels".to_string(),
        1.8,
    );

    let serialized = serde_json::to_string(&proposal);
    assert!(serialized.is_ok());

    let deserialized: Result<Proposal, _> = serde_json::from_str(&serialized.unwrap());
    assert!(deserialized.is_ok());

    let deserialized_proposal = deserialized.unwrap();
    assert_eq!(deserialized_proposal.id(), proposal.id());
    assert_eq!(
        deserialized_proposal.proposal_type(),
        proposal.proposal_type()
    );
    assert_eq!(
        deserialized_proposal.expected_performance_gain(),
        proposal.expected_performance_gain()
    );
}

#[tokio::test]
async fn test_proposal_status_transitions() {
    let mut proposal = Proposal::new(
        ProposalType::Quantization,
        "Apply INT8 quantization".to_string(),
        3.2,
    );

    assert_eq!(proposal.status(), ProposalStatus::Pending);

    proposal.set_status(ProposalStatus::Evaluating);
    assert_eq!(proposal.status(), ProposalStatus::Evaluating);

    proposal.set_status(ProposalStatus::Approved);
    assert_eq!(proposal.status(), ProposalStatus::Approved);

    proposal.set_status(ProposalStatus::Applied);
    assert_eq!(proposal.status(), ProposalStatus::Applied);
}

#[tokio::test]
async fn test_proposal_validator_creation() {
    let runtime = Arc::new(Runtime::new().expect("Failed to create runtime"));
    let validator = ProposalValidator::new(runtime.clone());
    assert!(validator.is_ok(), "Failed to create ProposalValidator");
}

#[tokio::test]
async fn test_validate_performance_gain() {
    let runtime = Arc::new(Runtime::new().expect("Failed to create runtime"));
    let validator = ProposalValidator::new(runtime.clone()).unwrap();

    let valid_proposal = Proposal::new(
        ProposalType::DataParallel,
        "Distribute computation across 4 GPUs".to_string(),
        3.8,
    );

    let is_valid = validator.validate_performance_gain(&valid_proposal).await;
    assert!(is_valid.is_ok());
    assert!(
        is_valid.unwrap(),
        "Reasonable performance gain should be valid"
    );

    let invalid_proposal = Proposal::new(
        ProposalType::CacheOptimization,
        "Impossible optimization".to_string(),
        1000.0, // Unrealistic gain
    );

    let is_valid = validator.validate_performance_gain(&invalid_proposal).await;
    assert!(is_valid.is_ok());
    assert!(
        !is_valid.unwrap(),
        "Unrealistic performance gain should be invalid"
    );
}

#[tokio::test]
async fn test_validate_proposal_feasibility() {
    let runtime = Arc::new(Runtime::new().expect("Failed to create runtime"));
    let validator = ProposalValidator::new(runtime.clone()).unwrap();

    let proposal = Proposal::new(
        ProposalType::PipelineParallel,
        "Split model into 8 pipeline stages".to_string(),
        4.2,
    );

    let is_feasible = validator.validate_feasibility(&proposal).await;
    assert!(is_feasible.is_ok());
}

#[tokio::test]
async fn test_score_proposal() {
    let runtime = Arc::new(Runtime::new().expect("Failed to create runtime"));
    let validator = ProposalValidator::new(runtime.clone()).unwrap();

    let proposal = Proposal::new(
        ProposalType::MemoryCoalescing,
        "Coalesce memory accesses for better bandwidth".to_string(),
        2.1,
    );

    let score = validator.score_proposal(&proposal).await;
    assert!(score.is_ok());

    let score_value = score.unwrap();
    assert!(
        score_value >= 0.0 && score_value <= 1.0,
        "Score should be between 0 and 1"
    );
}

#[tokio::test]
async fn test_rank_proposals() {
    let runtime = Arc::new(Runtime::new().expect("Failed to create runtime"));
    let validator = ProposalValidator::new(runtime.clone()).unwrap();

    let proposals = vec![
        Proposal::new(
            ProposalType::DataLayout,
            "Layout optimization".to_string(),
            1.5,
        ),
        Proposal::new(ProposalType::KernelFusion, "Kernel fusion".to_string(), 3.2),
        Proposal::new(
            ProposalType::Quantization,
            "INT8 quantization".to_string(),
            2.8,
        ),
    ];

    let ranked = validator.rank_proposals(&proposals).await;
    assert!(ranked.is_ok());

    let ranked_proposals = ranked.unwrap();
    assert_eq!(ranked_proposals.len(), proposals.len());

    // Check that proposals are sorted by score in descending order
    for i in 0..ranked_proposals.len() - 1 {
        assert!(ranked_proposals[i].1 >= ranked_proposals[i + 1].1);
    }
}