arborist_cli/output/
mod.rs

1pub mod csv_output;
2pub mod json;
3pub mod table;
4
5use arborist::FileReport;
6
7use crate::analysis;
8use crate::cli::{AnalyzeArgs, OutputFormat};
9use crate::error::ArboristError;
10
11pub fn write_output(
12    reports: &[FileReport],
13    args: &AnalyzeArgs,
14    _threshold_exceeded: bool,
15) -> Result<(), ArboristError> {
16    let use_flat_mode = args.sort.is_some() || args.top.is_some();
17
18    if use_flat_mode {
19        let mut flat = analysis::flatten_reports(reports);
20
21        if let Some(ref sort) = args.sort {
22            analysis::sort_and_top(&mut flat, sort, args.top);
23        } else if let Some(top) = args.top {
24            // --top without --sort: default sort by cognitive descending
25            analysis::sort_and_top(&mut flat, &crate::cli::SortMetric::Cognitive, Some(top));
26        }
27
28        // Apply threshold filtering to flat results
29        if args.exceeds_only
30            && let Some(threshold) = args.threshold
31        {
32            flat.retain(|f| f.cognitive > threshold);
33        }
34
35        match args.format {
36            OutputFormat::Table => table::write_flat(&flat, args),
37            OutputFormat::Json => json::write_flat(&flat),
38            OutputFormat::Csv => csv_output::write_flat(&flat),
39        }
40    } else {
41        match args.format {
42            OutputFormat::Table => table::write_reports(reports, args),
43            OutputFormat::Json => json::write_reports(reports),
44            OutputFormat::Csv => csv_output::write_reports(reports),
45        }
46    }
47}
arborist_cli/output/mod.rs

arborist_cli/output/
mod.rs
