ipfrs_cli/commands/
semantic.rs

1//! Semantic search commands
2//!
3//! This module provides semantic search operations:
4//! - `semantic_search` - Vector search
5//! - `semantic_index` - Manual indexing
6//! - `semantic_similar` - Find similar content
7//! - `semantic_stats` - Index statistics
8//! - `semantic_save` - Save semantic index
9//! - `semantic_load` - Load semantic index
10
11use anyhow::Result;
12
13use crate::output::{self, print_cid, print_header, print_kv};
14use crate::progress;
15
16/// Vector search
17#[allow(dead_code)]
18pub async fn semantic_search(query: &str, top_k: usize, format: &str) -> Result<()> {
19    let pb = progress::spinner("Searching for similar content...");
20    progress::finish_spinner_success(&pb, "Search initialization complete");
21
22    // Note: Full implementation requires an embedding model to convert query text to vectors
23    output::warning("Semantic search requires an embedding model (not yet configured)");
24
25    match format {
26        "json" => {
27            println!("{{");
28            println!("  \"query\": \"{}\",", query);
29            println!("  \"top_k\": {},", top_k);
30            println!("  \"status\": \"not_implemented\",");
31            println!("  \"message\": \"Semantic search requires embedding model configuration\"");
32            println!("}}");
33        }
34        _ => {
35            print_header(&format!("Semantic Search: {}", query));
36            println!("Query: {}", query);
37            println!("Top K: {}", top_k);
38            println!();
39            println!("To enable semantic search:");
40            println!("  1. Configure an embedding model in config.toml");
41            println!("  2. Index your content with 'ipfrs semantic index <cid>'");
42            println!("  3. Run your query again");
43        }
44    }
45
46    Ok(())
47}
48
49/// Manual indexing
50#[allow(dead_code)]
51pub async fn semantic_index(cid: &str, metadata: Option<&str>) -> Result<()> {
52    let pb = progress::spinner("Preparing to index content...");
53    progress::finish_spinner_success(&pb, "Index preparation complete");
54
55    // Note: Full implementation requires embedding extraction from content
56    output::warning("Semantic indexing requires an embedding model (not yet configured)");
57
58    print_cid("CID", cid);
59    if let Some(meta) = metadata {
60        println!("  Metadata: {}", meta);
61    }
62
63    println!();
64    println!("To enable semantic indexing:");
65    println!("  1. Configure an embedding model in config.toml");
66    println!("  2. Ensure the content exists in IPFRS");
67    println!("  3. Run indexing again to extract and store embeddings");
68
69    Ok(())
70}
71
72/// Find similar content
73#[allow(dead_code)]
74pub async fn semantic_similar(cid: &str, top_k: usize, format: &str) -> Result<()> {
75    let pb = progress::spinner("Preparing similarity search...");
76    progress::finish_spinner_success(&pb, "Search preparation complete");
77
78    // Note: Full implementation requires content retrieval and embedding extraction
79    output::warning("Similarity search requires an embedding model (not yet configured)");
80
81    match format {
82        "json" => {
83            println!("{{");
84            println!("  \"cid\": \"{}\",", cid);
85            println!("  \"top_k\": {},", top_k);
86            println!("  \"status\": \"not_implemented\",");
87            println!("  \"message\": \"Similarity search requires embedding model configuration\"");
88            println!("}}");
89        }
90        _ => {
91            print_header("Similarity Search");
92            print_cid("Query CID", cid);
93            println!("  Top K: {}", top_k);
94            println!();
95            println!("To enable similarity search:");
96            println!("  1. Configure an embedding model in config.toml");
97            println!("  2. Index your content with 'ipfrs semantic index'");
98            println!("  3. Run similarity search again");
99        }
100    }
101
102    Ok(())
103}
104
105/// Index statistics
106#[allow(dead_code)]
107pub async fn semantic_stats(format: &str) -> Result<()> {
108    let pb = progress::spinner("Retrieving semantic index statistics...");
109    progress::finish_spinner_success(&pb, "Statistics retrieved");
110
111    output::warning("Semantic index not yet initialized");
112
113    match format {
114        "json" => {
115            println!("{{");
116            println!("  \"total_vectors\": 0,");
117            println!("  \"index_size_bytes\": 0,");
118            println!("  \"num_dimensions\": 0,");
119            println!("  \"status\": \"not_initialized\"");
120            println!("}}");
121        }
122        _ => {
123            print_header("Semantic Index Statistics");
124            print_kv("Total Vectors", "0");
125            print_kv("Index Size", "0 B");
126            print_kv("Status", "Not initialized");
127            println!();
128            println!("To initialize the semantic index:");
129            println!("  1. Configure an embedding model");
130            println!("  2. Index content with 'ipfrs semantic index <cid>'");
131        }
132    }
133
134    Ok(())
135}
136
137/// Save semantic index
138pub async fn semantic_save(path: &str) -> Result<()> {
139    use ipfrs::{Node, NodeConfig};
140
141    let mut node = Node::new(NodeConfig::default())?;
142    node.start().await?;
143
144    println!("Saving semantic index to {}...", path);
145    node.save_semantic_index(path).await?;
146    println!("Semantic index saved successfully");
147
148    node.stop().await?;
149    Ok(())
150}
151
152/// Load semantic index
153pub async fn semantic_load(path: &str) -> Result<()> {
154    use ipfrs::{Node, NodeConfig};
155
156    let mut node = Node::new(NodeConfig::default())?;
157    node.start().await?;
158
159    println!("Loading semantic index from {}...", path);
160    node.load_semantic_index(path).await?;
161    println!("Semantic index loaded successfully");
162
163    node.stop().await?;
164    Ok(())
165}
ipfrs_cli/commands/semantic.rs

ipfrs_cli/commands/
semantic.rs
