// This file will contain integration tests for the database functions in `src/db.rs`.
// We will use the `#[sqlx::test]` macro to run tests in a transaction that is rolled back at the end.
// This ensures that our tests are isolated and do not leave any data in the database.

// Silence unused_imports warning for now, as we will add tests here shortly.
#![allow(unused_imports)]

use data_persistence_service::{
    db,
    dtos::{CompanyProfileDto, TimeSeriesFinancialDto, DailyMarketDataDto, NewAnalysisResultDto},
    models,
};
use sqlx::{postgres::PgPoolOptions, PgPool};
use std::time::Duration;

async fn setup() -> PgPool {
    dotenvy::dotenv().ok();
    let db_url = std::env::var("DATABASE_URL").expect("DATABASE_URL must be set for tests");
    
    PgPoolOptions::new()
        .max_connections(1)
        .acquire_timeout(Duration::from_secs(3))
        .connect(&db_url)
        .await
        .expect("Failed to create pool.")
}

// Example test structure
// #[sqlx::test]
// async fn test_some_db_function(pool: PgPool) {
//     // 1. Setup: Insert some test data
//     // 2. Act: Call the database function
//     // 3. Assert: Check the result
//     assert!(true);
// }

#[sqlx::test]
async fn test_upsert_and_get_company(pool: PgPool) {
    // 1. Setup: Create a test company DTO
    let new_company = CompanyProfileDto {
        symbol: "TEST.SYM".to_string(),
        name: "Test Company Inc.".to_string(),
        industry: Some("Testing".to_string()),
        list_date: Some(chrono::NaiveDate::from_ymd_opt(2024, 1, 1).unwrap()),
        additional_info: Some(serde_json::json!({ "ceo": "John Doe" })),
    };

    // 2. Act: Call the upsert function
    let upsert_result = db::upsert_company(&pool, &new_company).await;
    assert!(upsert_result.is_ok());

    // 3. Assert: Call the get function and verify the data
    let fetched_company = db::get_company_by_symbol(&pool, "TEST.SYM").await.unwrap().unwrap();

    assert_eq!(fetched_company.symbol, new_company.symbol);
    assert_eq!(fetched_company.name, new_company.name);
    assert_eq!(fetched_company.industry, new_company.industry);
    assert_eq!(fetched_company.list_date, new_company.list_date);
    assert_eq!(fetched_company.additional_info, new_company.additional_info);

    // 4. Act (Update): Create a modified DTO and upsert again
    let updated_company = CompanyProfileDto {
        symbol: "TEST.SYM".to_string(),
        name: "Test Company LLC".to_string(), // Name changed
        industry: Some("Advanced Testing".to_string()), // Industry changed
        list_date: new_company.list_date,
        additional_info: new_company.additional_info,
    };
    let update_result = db::upsert_company(&pool, &updated_company).await;
    assert!(update_result.is_ok());

    // 5. Assert (Update): Fetch again and verify the updated data
    let fetched_updated_company = db::get_company_by_symbol(&pool, "TEST.SYM").await.unwrap().unwrap();
    assert_eq!(fetched_updated_company.name, "Test Company LLC");
    assert_eq!(fetched_updated_company.industry, Some("Advanced Testing".to_string()));
}

#[sqlx::test]
async fn test_batch_insert_and_get_financials(pool: PgPool) {
    // 1. Setup: Create some test financial DTOs
    let financials = vec![
        TimeSeriesFinancialDto {
            symbol: "TEST.FIN".to_string(),
            metric_name: "revenue".to_string(),
            period_date: chrono::NaiveDate::from_ymd_opt(2023, 12, 31).unwrap(),
            value: 1000.0,
            source: Some("test".to_string()),
        },
        TimeSeriesFinancialDto {
            symbol: "TEST.FIN".to_string(),
            metric_name: "roe".to_string(),
            period_date: chrono::NaiveDate::from_ymd_opt(2023, 12, 31).unwrap(),
            value: 15.5,
            source: Some("test".to_string()),
        },
    ];

    // 2. Act: Call the batch insert function
    let insert_result = db::batch_insert_financials(&pool, &financials).await;
    assert!(insert_result.is_ok());

    // 3. Assert: Get all financials and verify
    let fetched_all = db::get_financials_by_symbol(&pool, "TEST.FIN", None).await.unwrap();
    assert_eq!(fetched_all.len(), 2);

    // 4. Assert: Get specific metric and verify
    let fetched_roe = db::get_financials_by_symbol(&pool, "TEST.FIN", Some(vec!["roe".to_string()])).await.unwrap();
    assert_eq!(fetched_roe.len(), 1);
    assert_eq!(fetched_roe[0].metric_name, "roe");
    // Note: Comparing decimals requires conversion or a tolerance-based approach
    assert_eq!(fetched_roe[0].value.to_string(), "15.5");
}

#[sqlx::test]
async fn test_batch_insert_and_get_daily_data(pool: PgPool) {
    // 1. Setup: Create some test daily market data DTOs
    let daily_data = vec![
        DailyMarketDataDto {
            symbol: "TEST.MKT".to_string(),
            trade_date: chrono::NaiveDate::from_ymd_opt(2024, 1, 1).unwrap(),
            open_price: Some(100.0),
            high_price: Some(102.5),
            low_price: Some(99.5),
            close_price: Some(101.0),
            volume: Some(10000),
            pe: Some(20.5),
            pb: Some(2.1),
            total_mv: Some(1000000.0),
        },
        DailyMarketDataDto {
            symbol: "TEST.MKT".to_string(),
            trade_date: chrono::NaiveDate::from_ymd_opt(2024, 1, 2).unwrap(),
            open_price: Some(101.0),
            high_price: Some(103.5),
            low_price: Some(100.5),
            close_price: Some(102.0),
            volume: Some(12000),
            pe: Some(20.7),
            pb: Some(2.2),
            total_mv: Some(1020000.0),
        },
    ];

    // 2. Act: Call the batch insert function
    let insert_result = db::batch_insert_daily_data(&pool, &daily_data).await;
    assert!(insert_result.is_ok());

    // 3. Assert: Get all daily data and verify
    let fetched_all = db::get_daily_data_by_symbol(&pool, "TEST.MKT", None, None).await.unwrap();
    assert_eq!(fetched_all.len(), 2);
    assert_eq!(fetched_all[0].trade_date, chrono::NaiveDate::from_ymd_opt(2024, 1, 2).unwrap()); // Desc order

    // 4. Assert: Get data within a date range
    let start_date = chrono::NaiveDate::from_ymd_opt(2024, 1, 2).unwrap();
    let fetched_one = db::get_daily_data_by_symbol(&pool, "TEST.MKT", Some(start_date), None).await.unwrap();
    assert_eq!(fetched_one.len(), 1);
    assert_eq!(fetched_one[0].trade_date, start_date);
    let close_str = fetched_one[0].close_price.unwrap().to_string();
    assert!(close_str == "102.0" || close_str == "102");
}

#[sqlx::test]
async fn test_create_and_get_analysis_results(pool: PgPool) {
    // 1. Setup: Create a test analysis result DTO
    let new_analysis = NewAnalysisResultDto {
        symbol: "TEST.AI".to_string(),
        module_id: "bull_case".to_string(),
        model_name: Some("test-model-v1".to_string()),
        content: "This is a bullish analysis.".to_string(),
        meta_data: Some(serde_json::json!({ "tokens": 123 })),
    };

    // 2. Act: Call the create function
    let created_result = db::create_analysis_result(&pool, &new_analysis).await.unwrap();
    assert_eq!(created_result.symbol, "TEST.AI");
    assert_eq!(created_result.module_id, "bull_case");

    // 3. Assert: Get by symbol and module_id
    let fetched_by_symbol = db::get_analysis_results(&pool, "TEST.AI", Some("bull_case")).await.unwrap();
    assert_eq!(fetched_by_symbol.len(), 1);
    assert_eq!(fetched_by_symbol[0].id, created_result.id);
    assert_eq!(fetched_by_symbol[0].content, new_analysis.content);

    // 4. Assert: Get by ID
    let fetched_by_id = db::get_analysis_result_by_id(&pool, created_result.id).await.unwrap().unwrap();
    assert_eq!(fetched_by_id.symbol, "TEST.AI");
    assert_eq!(fetched_by_id.content, new_analysis.content);

    // 5. Assert: Get by symbol only
    let fetched_all_for_symbol = db::get_analysis_results(&pool, "TEST.AI", None).await.unwrap();
    assert_eq!(fetched_all_for_symbol.len(), 1);
}