fuzzy_parser/lib.rs
1//! Fuzzy JSON repair for LLM-generated DSL
2//!
3//! This crate provides generic fuzzy matching and automatic correction for
4//! JSON that may contain typos (common when generated by LLMs).
5//!
6//! # Design
7//!
8//! This crate provides **generic repair APIs** - the schema definitions
9//! live in the calling crate (e.g., your application defines the schema).
10//!
11//! The repair pipeline has three independent stages:
12//!
13//! 1. **Extract** ([`extract_json`]) — locate the JSON payload inside raw
14//! LLM output (Markdown code fences, surrounding prose, multiple blocks)
15//! 2. **Sanitize** ([`sanitize_json`]) — fix syntax errors (trailing
16//! commas, missing/mismatched closing delimiters, unclosed strings)
17//! 3. **Repair** ([`repair_tagged_enum_json`]) — fix typos and coerce
18//! value types, guided by a caller-provided schema
19//!
20//! # Features
21//!
22//! - **JSON extraction**: Pull JSON out of code fences and prose
23//! - **JSON sanitization**: Fix syntax errors (trailing commas, missing braces)
24//! - **Tagged enum repair**: Fix type discriminator typos (e.g., `"AddDeriv"` → `"AddDerive"`)
25//! - **Field name repair**: Fix field name typos (e.g., `"taget"` → `"target"`)
26//! - **Enum value repair**: Fix string values constrained to closed sets
27//! (e.g., `["Debg"]` → `["Debug"]`)
28//! - **Recursive schemas**: Nested objects, arrays of objects, and nested
29//! tagged enums (e.g. arrays of DSL intents) are repaired to any depth
30//! ([`FieldKind`])
31//! - **Type coercion**: Fix string-encoded scalars (e.g., `"42"` → `42`)
32//! - **Dynamic schemas**: Schemas own their data and can be built at runtime
33//! - **JSON Schema import**: Derive repair schemas from JSON Schema
34//! documents ([`TaggedEnumSchema::from_json_schema`]) or, with the
35//! `schemars` feature, directly from `#[derive(JsonSchema)]` types
36//! - **Transparency**: Every applied change is a [`Correction`]; every
37//! collision-skipped rename is a [`SkippedCorrection`]
38//! - **Multiple algorithm support**: Jaro-Winkler, Levenshtein, Damerau-Levenshtein
39//! - **Configurable similarity threshold**
40//!
41//! # Example
42//!
43//! ````
44//! use fuzzy_parser::{
45//! extract_json, sanitize_json, repair_tagged_enum_json, TaggedEnumSchema, FuzzyOptions,
46//! };
47//!
48//! // Define schema with enum arrays and nested objects
49//! let schema = TaggedEnumSchema::new(
50//! "type", // tag field
51//! &["AddDerive", "RemoveDerive"], // valid types
52//! |tag| match tag {
53//! "AddDerive" | "RemoveDerive" => Some(&["target", "derives", "config"][..]),
54//! _ => None,
55//! },
56//! )
57//! .with_enum_array("derives", &["Debug", "Clone", "Serialize", "Default"])
58//! .with_nested_object("config", &["timeout", "retries"]);
59//!
60//! // Raw LLM output: prose + code fence + syntax errors + typos
61//! let raw = r#"Here is the change you asked for:
62//!
63//! ```json
64//! {"type": "AddDeriv", "taget": "User", "derives": ["Debg",], "config": {"timout": 30,}}
65//! ```
66//! "#;
67//!
68//! // Step 0: Extract (strip prose and code fences)
69//! let payload = extract_json(raw).unwrap();
70//!
71//! // Step 1: Sanitize (fix syntax errors)
72//! let sanitized = sanitize_json(payload);
73//!
74//! // Step 2: Repair (fix typos)
75//! let result = repair_tagged_enum_json(&sanitized, &schema, &FuzzyOptions::default()).unwrap();
76//!
77//! assert_eq!(result.repaired["type"], "AddDerive");
78//! assert!(result.repaired.get("target").is_some());
79//! assert_eq!(result.repaired["derives"][0], "Debug");
80//! assert!(result.repaired["config"].get("timeout").is_some());
81//! ````
82
83#![warn(missing_docs)]
84
85pub mod distance;
86pub mod error;
87pub mod extract;
88pub mod import;
89pub mod repair;
90pub mod sanitize;
91pub mod schema;
92
93// Re-export main types
94pub use distance::{Algorithm, Match};
95pub use error::FuzzyError;
96pub use extract::{extract_json, extract_json_blocks, strip_code_fences};
97pub use import::{ImportWarning, SchemaImport};
98pub use repair::{
99 repair_enum_array, repair_fields_with_list, repair_object_fields, repair_tagged_enum,
100 repair_tagged_enum_array, repair_tagged_enum_json, Correction, FuzzyOptions, RepairLog,
101 RepairResult, SkipReason, SkippedCorrection,
102};
103pub use sanitize::sanitize_json;
104pub use schema::{FieldDef, FieldKind, ObjectSchema, TaggedEnumSchema};
105
106#[cfg(test)]
107mod tests {
108 use super::*;
109
110 #[test]
111 fn test_full_workflow() {
112 // Define a simple schema
113 let schema =
114 TaggedEnumSchema::new("type", &["AddDerive", "RenameIdent"], |tag| match tag {
115 "AddDerive" => Some(&["target", "derives"][..]),
116 "RenameIdent" => Some(&["from", "to", "kind"][..]),
117 _ => None,
118 });
119
120 // Simulate LLM output with typos
121 let llm_output = r#"{
122 "type": "AddDeriv",
123 "taget": "DatabaseConfig",
124 "derives": ["Debug", "Clone"]
125 }"#;
126
127 let result =
128 repair_tagged_enum_json(llm_output, &schema, &FuzzyOptions::default()).unwrap();
129
130 // Verify corrections
131 assert_eq!(result.repaired["type"], "AddDerive");
132 assert_eq!(result.repaired["target"], "DatabaseConfig");
133 assert_eq!(result.corrections.len(), 2);
134 }
135
136 #[test]
137 fn test_sanitize_then_repair_workflow() {
138 // Define schema with enum arrays
139 let schema =
140 TaggedEnumSchema::new("type", &["AddDerive"], |_| Some(&["target", "derives"][..]))
141 .with_enum_array("derives", ["Debug", "Clone", "Serialize"]);
142
143 // LLM output with BOTH syntax errors AND typos
144 let malformed_llm_output = r#"{
145 "type": "AddDeriv",
146 "taget": "User",
147 "derives": ["Debg", "Clne",],
148 }"#;
149
150 // Step 1: Sanitize
151 let sanitized = sanitize_json(malformed_llm_output);
152
153 // Verify sanitization worked
154 assert!(!sanitized.contains(",]"));
155 assert!(!sanitized.contains(",}"));
156
157 // Step 2: Repair
158 let result =
159 repair_tagged_enum_json(&sanitized, &schema, &FuzzyOptions::default()).unwrap();
160
161 // Verify all corrections
162 assert_eq!(result.repaired["type"], "AddDerive");
163 assert!(result.repaired.get("target").is_some());
164 assert_eq!(result.repaired["derives"][0], "Debug");
165 assert_eq!(result.repaired["derives"][1], "Clone");
166 }
167
168 #[test]
169 fn test_sanitize_then_repair_missing_brace() {
170 let schema = TaggedEnumSchema::new("type", &["Action"], |_| Some(&["name"][..]));
171
172 // LLM truncated output
173 let truncated = r#"{"type": "Action", "name": "test"#;
174
175 let sanitized = sanitize_json(truncated);
176 let result =
177 repair_tagged_enum_json(&sanitized, &schema, &FuzzyOptions::default()).unwrap();
178
179 assert_eq!(result.repaired["type"], "Action");
180 assert_eq!(result.repaired["name"], "test");
181 }
182
183 #[test]
184 fn test_extract_sanitize_repair_full_pipeline() {
185 // Raw LLM output: prose + fence + trailing comma + typos + truncation
186 let raw = "Sure, here it is:\n\n```json\n{\"type\": \"AddDeriv\", \"taget\": \"User\", \"derives\": [\"Debg\",]\n```";
187
188 let schema =
189 TaggedEnumSchema::new("type", &["AddDerive"], |_| Some(&["target", "derives"][..]))
190 .with_enum_array("derives", ["Debug", "Clone"]);
191
192 let payload = extract_json(raw).unwrap();
193 let sanitized = sanitize_json(payload);
194 let result =
195 repair_tagged_enum_json(&sanitized, &schema, &FuzzyOptions::default()).unwrap();
196
197 assert_eq!(result.repaired["type"], "AddDerive");
198 assert_eq!(result.repaired["target"], "User");
199 assert_eq!(result.repaired["derives"][0], "Debug");
200 }
201}