ipfrs_cli/commands/
gradient.rs

1//! Gradient operations commands
2//!
3//! This module provides gradient operations for federated learning:
4//! - `gradient_push` - Publish gradient
5//! - `gradient_pull` - Fetch gradient
6//! - `gradient_aggregate` - Aggregate gradients
7//! - `gradient_history` - View gradient history
8
9use anyhow::Result;
10
11use crate::output::{self, print_cid, print_header, print_kv};
12use crate::progress;
13
14/// Publish gradient
15#[allow(dead_code)]
16pub async fn gradient_push(path: &str, model_cid: Option<&str>, format: &str) -> Result<()> {
17    let pb = progress::spinner("Preparing gradient upload...");
18    progress::finish_spinner_success(&pb, "Gradient preparation complete");
19
20    output::warning("Gradient operations require federated learning system integration");
21
22    match format {
23        "json" => {
24            println!("{{");
25            println!("  \"path\": \"{}\",", path);
26            if let Some(mcid) = model_cid {
27                println!("  \"model_cid\": \"{}\",", mcid);
28            }
29            println!("  \"status\": \"not_implemented\"");
30            println!("}}");
31        }
32        _ => {
33            print_header("Gradient Push");
34            println!("Path: {}", path);
35            if let Some(mcid) = model_cid {
36                print_cid("Model CID", mcid);
37            }
38            println!();
39            println!("Gradient push would upload the gradient to the network.");
40        }
41    }
42
43    Ok(())
44}
45
46/// Fetch gradient
47#[allow(dead_code)]
48pub async fn gradient_pull(cid: &str, output_path: Option<&str>) -> Result<()> {
49    let pb = progress::spinner("Preparing gradient download...");
50    progress::finish_spinner_success(&pb, "Download preparation complete");
51
52    output::warning("Gradient operations require federated learning system integration");
53
54    print_header("Gradient Pull");
55    print_cid("Gradient CID", cid);
56    if let Some(out) = output_path {
57        println!("  Output: {}", out);
58    }
59    println!();
60    println!("Gradient pull would download the gradient from the network.");
61
62    Ok(())
63}
64
65/// Aggregate gradients
66#[allow(dead_code)]
67pub async fn gradient_aggregate(
68    cids: &[String],
69    output: &str,
70    method: &str,
71    format: &str,
72) -> Result<()> {
73    let pb = progress::spinner("Preparing gradient aggregation...");
74    progress::finish_spinner_success(&pb, "Aggregation preparation complete");
75
76    output::warning("Gradient operations require federated learning system integration");
77
78    match format {
79        "json" => {
80            println!("{{");
81            println!("  \"gradient_cids\": [");
82            for (i, cid) in cids.iter().enumerate() {
83                if i < cids.len() - 1 {
84                    println!("    \"{}\",", cid);
85                } else {
86                    println!("    \"{}\"", cid);
87                }
88            }
89            println!("  ],");
90            println!("  \"output\": \"{}\",", output);
91            println!("  \"method\": \"{}\",", method);
92            println!("  \"status\": \"not_implemented\"");
93            println!("}}");
94        }
95        _ => {
96            print_header("Gradient Aggregation");
97            print_kv("Number of gradients", &cids.len().to_string());
98            print_kv("Method", method);
99            print_kv("Output", output);
100            println!();
101            println!(
102                "Aggregation would combine gradients using the {} method.",
103                method
104            );
105        }
106    }
107
108    Ok(())
109}
110
111/// View gradient history
112#[allow(dead_code)]
113pub async fn gradient_history(cid: &str, limit: usize, format: &str) -> Result<()> {
114    let pb = progress::spinner("Retrieving gradient history...");
115    progress::finish_spinner_success(&pb, "History retrieved");
116
117    output::warning("Gradient operations require federated learning system integration");
118
119    match format {
120        "json" => {
121            println!("{{");
122            println!("  \"model_cid\": \"{}\",", cid);
123            println!("  \"limit\": {},", limit);
124            println!("  \"history\": [],");
125            println!("  \"status\": \"not_implemented\"");
126            println!("}}");
127        }
128        _ => {
129            print_header("Gradient History");
130            print_cid("Model CID", cid);
131            print_kv("Limit", &limit.to_string());
132            println!();
133            println!("History would show gradient updates for this model.");
134        }
135    }
136
137    Ok(())
138}
ipfrs_cli/commands/gradient.rs

ipfrs_cli/commands/
gradient.rs
