use anyhow::Result;
use clap::{Args, ValueEnum};
use std::path::PathBuf;
use systemprompt_analytics::CostAnalyticsRepository;
use systemprompt_logging::CliService;
use systemprompt_runtime::{AppContext, DatabaseContext};
use super::{CostBreakdownItem, CostBreakdownOutput};
use crate::CliConfig;
use crate::commands::analytics::shared::{export_to_csv, parse_time_range, resolve_export_path};
use crate::shared::{CommandResult, RenderingHints};
#[derive(Debug, Clone, Copy, ValueEnum)]
pub enum BreakdownType {
Model,
Agent,
Provider,
}
#[derive(Debug, Args)]
pub struct BreakdownArgs {
#[arg(
long,
alias = "from",
default_value = "24h",
help = "Time range (e.g., '1h', '24h', '7d')"
)]
pub since: Option<String>,
#[arg(long, alias = "to", help = "End time for range")]
pub until: Option<String>,
#[arg(
long,
value_enum,
default_value = "model",
help = "Breakdown by (model, agent, provider)"
)]
pub by: BreakdownType,
#[arg(long, short = 'n', default_value = "20", help = "Maximum items")]
pub limit: i64,
#[arg(long, help = "Export results to CSV file")]
pub export: Option<PathBuf>,
}
pub async fn execute(
args: BreakdownArgs,
_config: &CliConfig,
) -> Result<CommandResult<CostBreakdownOutput>> {
let ctx = AppContext::new().await?;
let repo = CostAnalyticsRepository::new(ctx.db_pool())?;
execute_internal(args, &repo).await
}
pub async fn execute_with_pool(
args: BreakdownArgs,
db_ctx: &DatabaseContext,
_config: &CliConfig,
) -> Result<CommandResult<CostBreakdownOutput>> {
let repo = CostAnalyticsRepository::new(db_ctx.db_pool())?;
execute_internal(args, &repo).await
}
async fn execute_internal(
args: BreakdownArgs,
repo: &CostAnalyticsRepository,
) -> Result<CommandResult<CostBreakdownOutput>> {
let (start, end) = parse_time_range(args.since.as_ref(), args.until.as_ref())?;
let rows = match args.by {
BreakdownType::Model => repo.get_breakdown_by_model(start, end, args.limit).await?,
BreakdownType::Provider => {
repo.get_breakdown_by_provider(start, end, args.limit)
.await?
},
BreakdownType::Agent => repo.get_breakdown_by_agent(start, end, args.limit).await?,
};
let total_cost: i64 = rows.iter().map(|r| r.cost).sum();
let items: Vec<CostBreakdownItem> = rows
.into_iter()
.map(|row| {
let percentage = if total_cost > 0 {
(row.cost as f64 / total_cost as f64) * 100.0
} else {
0.0
};
CostBreakdownItem {
name: row.name,
cost_microdollars: row.cost,
request_count: row.requests,
tokens: row.tokens,
percentage,
}
})
.collect();
let output = CostBreakdownOutput {
period: format!(
"{} to {}",
start.format("%Y-%m-%d %H:%M"),
end.format("%Y-%m-%d %H:%M")
),
breakdown_by: format!("{:?}", args.by).to_lowercase(),
items,
total_cost_microdollars: total_cost,
};
if let Some(ref path) = args.export {
let resolved_path = resolve_export_path(path)?;
export_to_csv(&output.items, &resolved_path)?;
CliService::success(&format!("Exported to {}", resolved_path.display()));
return Ok(CommandResult::table(output).with_skip_render());
}
if output.items.is_empty() {
CliService::warning("No data found in the specified time range");
return Ok(CommandResult::table(output).with_skip_render());
}
let hints = RenderingHints {
columns: Some(vec![
"name".to_string(),
"cost_microdollars".to_string(),
"request_count".to_string(),
"tokens".to_string(),
"percentage".to_string(),
]),
..Default::default()
};
Ok(CommandResult::table(output)
.with_title("Cost Breakdown")
.with_hints(hints))
}