use anyhow::{Result, anyhow};
use clap::Args;
use std::path::PathBuf;
use systemprompt_analytics::AgentAnalyticsRepository;
use systemprompt_logging::CliService;
use systemprompt_runtime::{AppContext, DatabaseContext};
use super::{
AgentShowOutput, AgentStatsOutput, ErrorBreakdownItem, HourlyDistributionItem,
StatusBreakdownItem,
};
use crate::CliConfig;
use crate::commands::analytics::shared::{
export_single_to_csv, parse_time_range, resolve_export_path,
};
use crate::shared::CommandResult;
#[derive(Debug, Args)]
pub struct ShowArgs {
#[arg(help = "Agent name to analyze")]
pub agent: String,
#[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, help = "Export results to CSV file")]
pub export: Option<PathBuf>,
}
pub async fn execute(
args: ShowArgs,
_config: &CliConfig,
) -> Result<CommandResult<AgentShowOutput>> {
let ctx = AppContext::new().await?;
let repo = AgentAnalyticsRepository::new(ctx.db_pool())?;
execute_internal(args, &repo).await
}
pub async fn execute_with_pool(
args: ShowArgs,
db_ctx: &DatabaseContext,
_config: &CliConfig,
) -> Result<CommandResult<AgentShowOutput>> {
let repo = AgentAnalyticsRepository::new(db_ctx.db_pool())?;
execute_internal(args, &repo).await
}
async fn execute_internal(
args: ShowArgs,
repo: &AgentAnalyticsRepository,
) -> Result<CommandResult<AgentShowOutput>> {
let (start, end) = parse_time_range(args.since.as_ref(), args.until.as_ref())?;
let count = repo.agent_exists(&args.agent, start, end).await?;
if count == 0 {
return Err(anyhow!(
"Agent '{}' not found in the specified time range",
args.agent
));
}
let summary_row = repo.get_agent_summary(&args.agent, start, end).await?;
let status_breakdown_rows = repo.get_status_breakdown(&args.agent, start, end).await?;
let top_errors_rows = repo.get_top_errors(&args.agent, start, end).await?;
let hourly_rows = repo
.get_hourly_distribution(&args.agent, start, end)
.await?;
let success_rate = if summary_row.total_tasks > 0 {
(summary_row.completed as f64 / summary_row.total_tasks as f64) * 100.0
} else {
0.0
};
let period = format!(
"{} to {}",
start.format("%Y-%m-%d %H:%M"),
end.format("%Y-%m-%d %H:%M")
);
let summary = AgentStatsOutput {
period: period.clone(),
total_agents: 1,
total_tasks: summary_row.total_tasks,
completed_tasks: summary_row.completed,
failed_tasks: summary_row.failed,
success_rate,
avg_execution_time_ms: summary_row.avg_time as i64,
total_ai_requests: 0,
total_cost_microdollars: 0,
};
let total: i64 = status_breakdown_rows.iter().map(|r| r.status_count).sum();
let status_breakdown: Vec<StatusBreakdownItem> = status_breakdown_rows
.into_iter()
.map(|row| StatusBreakdownItem {
status: row.status,
count: row.status_count,
percentage: if total > 0 {
(row.status_count as f64 / total as f64) * 100.0
} else {
0.0
},
})
.collect();
let top_errors: Vec<ErrorBreakdownItem> = top_errors_rows
.into_iter()
.map(|row| ErrorBreakdownItem {
error_type: row.error_type.unwrap_or_else(|| "Unknown".to_string()),
count: row.error_count,
})
.collect();
let hourly_distribution: Vec<HourlyDistributionItem> = hourly_rows
.into_iter()
.map(|row| HourlyDistributionItem {
hour: row.task_hour,
count: row.task_count,
})
.collect();
let output = AgentShowOutput {
agent_name: args.agent.clone(),
period,
summary,
status_breakdown,
top_errors,
hourly_distribution,
};
if let Some(ref path) = args.export {
let resolved_path = resolve_export_path(path)?;
export_single_to_csv(&output, &resolved_path)?;
CliService::success(&format!("Exported to {}", resolved_path.display()));
return Ok(CommandResult::card(output).with_skip_render());
}
Ok(CommandResult::card(output).with_title(format!("Agent: {}", args.agent)))
}