cratestack-parser 0.7.2

Rust-native schema-first framework for typed HTTP APIs, generated clients, and backend services.
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

#![cfg(test)]

use super::parse_schema;

#[test]
fn vector_field_parses_with_declared_extension() {
    let schema = parse_schema(
        r#"
extension pgvector {
}

model Document {
  id Int @id
  embedding Vector(1536)
}
"#,
    )
    .expect("Vector(n) field should parse when pgvector extension is declared");

    let embedding = &schema.models[0].fields[1];
    assert_eq!(embedding.name, "embedding");
    assert_eq!(embedding.ty.name, "Vector");
    assert_eq!(embedding.ty.int_args, vec![1536]);
    assert_eq!(embedding.ty.vector_dim(), Some(1536));
}

#[test]
fn optional_vector_field_parses() {
    let schema = parse_schema(
        r#"
extension pgvector {
}

model Document {
  id Int @id
  embedding Vector(3)?
}
"#,
    )
    .expect("optional Vector(n) field should parse");

    let embedding = &schema.models[0].fields[1];
    assert_eq!(embedding.ty.arity, cratestack_core::TypeArity::Optional);
    assert_eq!(embedding.ty.vector_dim(), Some(3));
}

#[test]
fn vector_field_without_declared_extension_is_a_validation_error() {
    let error = parse_schema(
        r#"
model Document {
  id Int @id
  embedding Vector(1536)
}
"#,
    )
    .expect_err("Vector(n) without `extension pgvector { }` should fail validation");

    assert!(
        error.to_string().contains("requires `extension pgvector"),
        "error should point at the missing extension declaration, got: {error}",
    );
}

#[test]
fn vector_field_rejects_zero_dimension() {
    let error = parse_schema(
        r#"
extension pgvector {
}

model Document {
  id Int @id
  embedding Vector(0)
}
"#,
    )
    .expect_err("Vector(0) should be rejected");

    assert!(
        error
            .to_string()
            .contains("dimension must be greater than zero"),
        "error should explain the dimension must be positive, got: {error}",
    );
}

#[test]
fn vector_field_rejects_list_arity() {
    let error = parse_schema(
        r#"
extension pgvector {
}

model Document {
  id Int @id
  embeddings Vector(8)[]
}
"#,
    )
    .expect_err("Vector(n)[] should be rejected");

    assert!(
        error.to_string().contains("cannot be list-valued"),
        "error should explain list-valued vectors aren't supported, got: {error}",
    );
}

#[test]
fn vector_field_rejects_missing_dimension() {
    let error = parse_schema(
        r#"
extension pgvector {
}

model Document {
  id Int @id
  embedding Vector
}
"#,
    )
    .expect_err("bare `Vector` with no dimension should be rejected");

    assert!(
        error
            .to_string()
            .contains("requires exactly one integer dimension argument"),
        "error should explain the missing dimension argument, got: {error}",
    );
}

#[test]
fn parametric_argument_on_non_vector_type_is_rejected() {
    let error = parse_schema(
        r#"
model Document {
  id Int @id
  weight Float(8)
}
"#,
    )
    .expect_err("a parenthesized argument on a non-Vector type should be rejected");

    assert!(
        error
            .to_string()
            .contains("does not accept a parametric argument"),
        "error should name the offending type, got: {error}",
    );
}

#[test]
fn vector_field_rejected_in_procedure_signature() {
    let error = parse_schema(
        r#"
extension pgvector {
}

procedure search(embedding: Vector(8)): Int
"#,
    )
    .expect_err("Vector(n) is not supported in procedure signatures in this release");

    assert!(
        error
            .to_string()
            .contains("only supported on model/mixin/type/auth fields"),
        "error should explain Vector(n) isn't supported here, got: {error}",
    );
}