use chusql_storage::catalog::Catalog;
use chusql_storage::protocol::Row;
use serde_json::json;

// 数据字典测试：补列、去重、未知表。



fn row(pairs: &[(&str, serde_json::Value)]) -> Row {
    let mut m = Row::new();
    for (k, v) in pairs {
        m.insert((*k).to_string(), v.clone());
    }
    m
}

/// 空文件得到空字典，未知表返回 None
#[test]
fn empty_file_gives_empty_catalog_and_unknown_table_returns_none() {    let dir = tempfile::tempdir().unwrap();
    let path = dir.path().join("catalog.json");
    let c = Catalog::load(&path).unwrap();
    assert_eq!(c.table_names().len(), 0);
    assert!(c.describe("nope").is_none());
}

/// 补列之后能查到 schema
#[test]
fn ensure_then_describe() {
    let dir = tempfile::tempdir().unwrap();
    let path = dir.path().join("catalog.json");

    let mut c = Catalog::load(&path).unwrap();
    c.ensure_columns("users", &row(&[("id", json!(1)), ("name", json!("Alice"))]));
    c.save(&path).unwrap();

    let c2 = Catalog::load(&path).unwrap();
    let s = c2.describe("users").unwrap();
    assert_eq!(s.columns.len(), 2);
    let names: Vec<&str> = s.columns.iter().map(|c| c.name.as_str()).collect();
    assert!(names.contains(&"id"));
    assert!(names.contains(&"name"));
    let id_col = s.columns.iter().find(|c| c.name == "id").unwrap();
    assert_eq!(id_col.ty, "int");
    let name_col = s.columns.iter().find(|c| c.name == "name").unwrap();
    assert_eq!(name_col.ty, "str");
}

/// 再插入不会重复列
#[test]
fn second_insert_does_not_duplicate_columns() {
    let dir = tempfile::tempdir().unwrap();
    let path = dir.path().join("catalog.json");

    let mut c = Catalog::load(&path).unwrap();
    c.ensure_columns("users", &row(&[("id", json!(1))]));
    c.ensure_columns("users", &row(&[("id", json!(2))]));
    assert_eq!(c.describe("users").unwrap().columns.len(), 1);
}

/// 删列同时清掉统计与索引
#[test]
fn remove_column_drops_definition_stats_and_index() {
    let dir = tempfile::tempdir().unwrap();
    let path = dir.path().join("catalog.json");

    let mut c = Catalog::load(&path).unwrap();
    c.ensure_columns("t", &row(&[("id", json!(1)), ("code", json!(5))]));
    c.add_index("t", "code").unwrap();
    c.rebuild_stats("t", &[row(&[("id", json!(1)), ("code", json!(5))])]);

    let removed = c.remove_column("t", "code").unwrap();
    assert!(removed, "first remove should hit the column");
    let s = c.describe("t").unwrap();
    assert_eq!(s.columns.len(), 1);
    assert_eq!(s.columns[0].name, "id");
    assert!(s.indexes.is_empty(), "index on code should be gone");
    assert!(!s.stats.contains_key("code"), "stats for code should be gone");

    let again = c.remove_column("t", "code").unwrap();
    assert!(!again);

    assert!(c.remove_column("nope", "code").is_err());
}

/// 老类型名并到新写法，参数保留，未知类型原样
#[test]
fn normalize_type_maps_legacy_names() {
    use chusql_storage::catalog::normalize_type;
    assert_eq!(normalize_type("integer"), "int");
    assert_eq!(normalize_type("TEXT"), "str");
    assert_eq!(normalize_type("BOOLEAN"), "bool");
    assert_eq!(normalize_type("varchar(20)"), "varchar(20)");
    assert_eq!(normalize_type("numeric(8,2)"), "decimal(8,2)");
    assert_eq!(normalize_type("real"), "float");
    assert_eq!(normalize_type("weird"), "weird");
}

/// 老格式字典（列里没有新字段）能读进来，规范化后写回新写法
#[test]
fn legacy_catalog_loads_and_normalizes() {
    let dir = tempfile::tempdir().unwrap();
    let path = dir.path().join("catalog.json");
    std::fs::write(
        &path,
        r#"{"tables":{"legacy":{"columns":[{"name":"id","ty":"integer"},{"name":"name","ty":"text"}]}}}"#,
    )
    .unwrap();

    let mut c = Catalog::load(&path).unwrap();
    let s = c.describe("legacy").unwrap();
    assert_eq!(s.columns.len(), 2);
    assert!(s.columns[0].nullable, "老列默认可空");
    assert!(c.normalize_types());
    let types: Vec<&str> = c.describe("legacy").unwrap().columns.iter().map(|col| col.ty.as_str()).collect();
    assert_eq!(types, vec!["int", "str"]);
    assert!(!c.normalize_types(), "第二次没有可改的");
}