pmat 3.11.0

PMAT - Zero-config AI context generation and code quality toolkit (CLI, MCP, HTTP)
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
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258

// System architecture analysis handlers (extracted from extended_tools.rs for CB-040)

#[derive(Debug, Deserialize, Serialize)]
struct AnalyzeSystemArchitectureArgs {
    project_path: Option<String>,
    format: Option<String>,
    show_complexity: Option<bool>,
}

// Helper function to convert DAG node type to CallNodeType
fn convert_node_type(
    dag_type: &crate::models::dag::NodeType,
) -> crate::services::canonical_query::CallNodeType {
    use crate::services::canonical_query::CallNodeType;
    match dag_type {
        crate::models::dag::NodeType::Function => CallNodeType::Function,
        crate::models::dag::NodeType::Class => CallNodeType::Struct,
        crate::models::dag::NodeType::Module => CallNodeType::Module,
        crate::models::dag::NodeType::Trait => CallNodeType::Trait,
        crate::models::dag::NodeType::Interface => CallNodeType::Trait,
    }
}

// Helper function to convert DAG edge type to CallEdgeType
fn convert_edge_type(
    dag_type: &crate::models::dag::EdgeType,
) -> crate::services::canonical_query::CallEdgeType {
    use crate::services::canonical_query::CallEdgeType;
    match dag_type {
        crate::models::dag::EdgeType::Calls => CallEdgeType::FunctionCall,
        crate::models::dag::EdgeType::Imports => CallEdgeType::ModuleImport,
        crate::models::dag::EdgeType::Inherits => CallEdgeType::TraitImpl,
        crate::models::dag::EdgeType::Implements => CallEdgeType::TraitImpl,
        crate::models::dag::EdgeType::Uses => CallEdgeType::FunctionCall,
    }
}

// Helper function to build call graph from DAG
fn build_call_graph(
    dag_result: &crate::models::dag::DependencyGraph,
) -> crate::services::canonical_query::CallGraph {
    use crate::services::canonical_query::{CallEdge, CallGraph, CallNode};

    let call_nodes: Vec<CallNode> = dag_result
        .nodes
        .iter()
        .map(|(node_id, node_info)| CallNode {
            id: node_id.clone(),
            name: node_info.label.clone(),
            module_path: node_info
                .metadata
                .get("module_path")
                .cloned()
                .unwrap_or_else(|| node_info.file_path.clone()),
            node_type: convert_node_type(&node_info.node_type),
        })
        .collect();

    let call_edges: Vec<CallEdge> = dag_result
        .edges
        .iter()
        .map(|edge| CallEdge {
            from: edge.from.clone(),
            to: edge.to.clone(),
            edge_type: convert_edge_type(&edge.edge_type),
            weight: edge.weight,
        })
        .collect();

    CallGraph {
        nodes: call_nodes,
        edges: call_edges,
    }
}

// Helper function to build complexity map
fn build_complexity_map(
    complexity_report: Option<&crate::services::complexity::ComplexityReport>,
) -> rustc_hash::FxHashMap<String, crate::services::complexity::ComplexityMetrics> {
    use crate::services::complexity::ComplexityMetrics;
    use rustc_hash::FxHashMap;

    let mut complexity_map = FxHashMap::default();

    if let Some(report) = complexity_report {
        for file in &report.files {
            for func in &file.functions {
                let key = format!("{}::{}", file.path, func.name);
                complexity_map.insert(
                    key,
                    ComplexityMetrics {
                        cyclomatic: func.metrics.cyclomatic,
                        cognitive: func.metrics.cognitive,
                        nesting_max: func.metrics.nesting_max,
                        lines: func.metrics.lines,
                        halstead: func.metrics.halstead,
                    },
                );
            }
        }
    }

    complexity_map
}

// Helper function to format result
fn format_architecture_result(
    result: &crate::services::canonical_query::QueryResult,
    format: Option<&str>,
) -> String {
    match format {
        Some("json") => serde_json::to_string_pretty(result).unwrap_or_default(),
        _ => format!("# System Architecture Analysis\n\n{}", result.diagram),
    }
}

/// Toyota Way: Extract Method - Handle system architecture analysis (complexity <=8)
async fn handle_analyze_system_architecture(
    request_id: serde_json::Value,
    arguments: serde_json::Value,
) -> McpResponse {
    // Parse arguments
    let (args, project_path) = match parse_architecture_analysis_args(arguments) {
        Ok(result) => result,
        Err(e) => {
            return McpResponse::error(
                request_id,
                -32602,
                format!("Invalid analyze_system_architecture arguments: {e}"),
            );
        }
    };

    info!("Analyzing system architecture for {:?}", project_path);

    // Run deep context analysis
    let deep_context = match run_architecture_deep_context_analysis(&project_path).await {
        Ok(ctx) => ctx,
        Err(e) => {
            return McpResponse::error(
                request_id,
                -32000,
                format!("Failed to analyze project: {e}"),
            );
        }
    };

    // Build analysis context
    let context = match build_architecture_analysis_context(&project_path, &deep_context) {
        Ok(ctx) => ctx,
        Err(e) => {
            return McpResponse::error(request_id, -32000, e);
        }
    };

    // Execute and format results
    execute_architecture_query_and_respond(request_id, args, context, &deep_context)
}

/// Toyota Way: Extract Method - Parse architecture analysis arguments (complexity <=5)
fn parse_architecture_analysis_args(
    arguments: serde_json::Value,
) -> Result<(AnalyzeSystemArchitectureArgs, PathBuf), Box<dyn std::error::Error>> {
    let args: AnalyzeSystemArchitectureArgs = serde_json::from_value(arguments)?;

    let project_path = args.project_path.as_ref().map_or_else(
        || std::env::current_dir().unwrap_or_else(|_| PathBuf::from(".")),
        PathBuf::from,
    );

    Ok((args, project_path))
}

/// Toyota Way: Extract Method - Run deep context analysis for architecture (complexity <=5)
async fn run_architecture_deep_context_analysis(
    project_path: &Path,
) -> Result<crate::services::deep_context::DeepContext, Box<dyn std::error::Error>> {
    use crate::services::deep_context::{DeepContextAnalyzer, DeepContextConfig};

    let config = DeepContextConfig {
        include_analyses: vec![
            crate::services::deep_context::AnalysisType::Ast,
            crate::services::deep_context::AnalysisType::Complexity,
            crate::services::deep_context::AnalysisType::Dag,
        ],
        ..Default::default()
    };

    let analyzer = DeepContextAnalyzer::new(config);
    Ok(analyzer
        .analyze_project(&project_path.to_path_buf())
        .await?)
}

/// Toyota Way: Extract Method - Build architecture analysis context (complexity <=6)
fn build_architecture_analysis_context(
    project_path: &Path,
    deep_context: &crate::services::deep_context::DeepContext,
) -> Result<crate::services::canonical_query::AnalysisContext, String> {
    use crate::services::canonical_query::AnalysisContext;

    let dag_result = deep_context
        .analyses
        .dependency_graph
        .clone()
        .ok_or_else(|| "Failed to generate dependency graph".to_string())?;

    let call_graph = build_call_graph(&dag_result);
    let complexity_map = build_complexity_map(deep_context.analyses.complexity_report.as_ref());

    Ok(AnalysisContext {
        project_path: project_path.to_path_buf(),
        ast_dag: dag_result,
        call_graph,
        complexity_map,
        churn_analysis: deep_context.analyses.churn_analysis.clone(),
    })
}

/// Toyota Way: Extract Method - Execute architecture query and respond (complexity <=8)
fn execute_architecture_query_and_respond(
    request_id: serde_json::Value,
    args: AnalyzeSystemArchitectureArgs,
    context: crate::services::canonical_query::AnalysisContext,
    deep_context: &crate::services::deep_context::DeepContext,
) -> McpResponse {
    use crate::services::canonical_query::{CanonicalQuery, SystemArchitectureQuery};

    let query = SystemArchitectureQuery;
    match query.execute(&context) {
        Ok(result) => {
            let content_text = format_architecture_result(&result, args.format.as_deref());

            let response = json!({
                "content": [{
                    "type": "text",
                    "text": content_text
                }],
                "result": result,
                "format": args.format.unwrap_or_else(|| "mermaid".to_string()),
                "metadata": {
                    "nodes": result.metadata.nodes,
                    "edges": result.metadata.edges,
                    "analysis_time_ms": result.metadata.analysis_time_ms,
                    "complexity_hotspots": deep_context.analyses.complexity_report
                        .as_ref()
                        .map_or(0, |r| r.hotspots.len()),
                }
            });

            McpResponse::success(request_id, response)
        }
        Err(e) => {
            error!("System architecture analysis failed: {}", e);
            McpResponse::error(request_id, -32000, e.to_string())
        }
    }
}