ruchy 4.2.0

A systems scripting language that transpiles to idiomatic Rust with extreme quality engineering
Documentation 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171

#![allow(missing_docs)]
//! `DataFrame` Access Validation Tests
//!
//! Comprehensive validation that DEFECT-DATAFRAME-001 and DEFECT-DATAFRAME-002 are fixed
//! Tests `DataFrame` indexing and field access with realistic scenarios

use ruchy::frontend::parser::Parser;
use ruchy::runtime::interpreter::{Interpreter, Value};

fn eval_code(code: &str) -> Result<Value, Box<dyn std::error::Error>> {
    let mut parser = Parser::new(code);
    let ast = parser.parse()?;
    let mut interpreter = Interpreter::new();
    Ok(interpreter.eval_expr(&ast)?)
}

#[test]
fn test_dataframe_row_indexing_returns_object() {
    let code = r#"
        let df = df![
            "id" => [1, 2, 3],
            "name" => ["Alice", "Bob", "Charlie"]
        ];
        df[0]
    "#;

    let result = eval_code(code).expect("Should work");

    // Should return an Object with keys "id" and "name"
    match result {
        Value::Object(obj) => {
            assert!(obj.contains_key("id"), "Row should have 'id' key");
            assert!(obj.contains_key("name"), "Row should have 'name' key");

            // Verify values
            assert_eq!(obj.get("id"), Some(&Value::Integer(1)));
            assert_eq!(
                obj.get("name"),
                Some(&Value::from_string("Alice".to_string()))
            );
        }
        _ => panic!("Expected Object, got {result:?}"),
    }
}

#[test]
fn test_dataframe_column_access_returns_array() {
    let code = r#"
        let df = df![
            "id" => [1, 2, 3],
            "name" => ["Alice", "Bob", "Charlie"]
        ];
        df.id
    "#;

    let result = eval_code(code).expect("Should work");

    // Should return an Array with [1, 2, 3]
    match result {
        Value::Array(arr) => {
            assert_eq!(arr.len(), 3, "Array should have 3 elements");
            assert_eq!(arr[0], Value::Integer(1));
            assert_eq!(arr[1], Value::Integer(2));
            assert_eq!(arr[2], Value::Integer(3));
        }
        _ => panic!("Expected Array, got {result:?}"),
    }
}

#[test]
fn test_dataframe_string_column_access() {
    let code = r#"
        let df = df![
            "employee_id" => [101, 102, 103],
            "name" => ["Alice", "Bob", "Charlie"]
        ];
        df.name
    "#;

    let result = eval_code(code).expect("Should work");

    match result {
        Value::Array(arr) => {
            assert_eq!(arr.len(), 3);
            assert_eq!(arr[0], Value::from_string("Alice".to_string()));
            assert_eq!(arr[1], Value::from_string("Bob".to_string()));
            assert_eq!(arr[2], Value::from_string("Charlie".to_string()));
        }
        _ => panic!("Expected Array of strings, got {result:?}"),
    }
}

#[test]
fn test_dataframe_column_via_bracket_indexing() {
    let code = r#"
        let df = df![
            "id" => [10, 20, 30],
            "value" => [100, 200, 300]
        ];
        df["value"]
    "#;

    let result = eval_code(code).expect("Should work");

    match result {
        Value::Array(arr) => {
            assert_eq!(arr.len(), 3);
            assert_eq!(arr[0], Value::Integer(100));
            assert_eq!(arr[1], Value::Integer(200));
            assert_eq!(arr[2], Value::Integer(300));
        }
        _ => panic!("Expected Array, got {result:?}"),
    }
}

#[test]
fn test_dataframe_second_row_access() {
    let code = r#"
        let df = df![
            "id" => [1, 2, 3],
            "name" => ["Alice", "Bob", "Charlie"]
        ];
        df[1]
    "#;

    let result = eval_code(code).expect("Should work");

    match result {
        Value::Object(obj) => {
            assert_eq!(obj.get("id"), Some(&Value::Integer(2)));
            assert_eq!(
                obj.get("name"),
                Some(&Value::from_string("Bob".to_string()))
            );
        }
        _ => panic!("Expected Object, got {result:?}"),
    }
}

#[test]
fn test_dataframe_realistic_scenario() {
    // Exact scenario from Gemini audit report
    let code = r#"
        let df = df![
            "employee_id" => [101, 102, 103, 104],
            "name" => ["Alice", "Bob", "Charlie", "Diana"],
            "salary" => [95000, 75000, 105000, 65000]
        ];

        // Access first employee
        let first = df[0];

        // Access all employee IDs
        let ids = df.employee_id;

        ids
    "#;

    let result = eval_code(code).expect("Should work");

    match result {
        Value::Array(arr) => {
            assert_eq!(arr.len(), 4);
            assert_eq!(arr[0], Value::Integer(101));
            assert_eq!(arr[1], Value::Integer(102));
            assert_eq!(arr[2], Value::Integer(103));
            assert_eq!(arr[3], Value::Integer(104));
        }
        _ => panic!("Expected Array, got {result:?}"),
    }
}