systemprompt-cli 0.1.22

use anyhow::Result;
use clap::Args;
use std::collections::HashMap;
use std::path::PathBuf;
use systemprompt_analytics::AgentAnalyticsRepository;
use systemprompt_logging::CliService;
use systemprompt_runtime::{AppContext, DatabaseContext};

use super::{AgentTrendPoint, AgentTrendsOutput};
use crate::CliConfig;
use crate::commands::analytics::shared::{
    export_to_csv, format_date_range, format_period_label, parse_time_range, resolve_export_path,
    truncate_to_period,
};
use crate::shared::{ChartType, CommandResult};

#[derive(Debug, Args)]
pub struct TrendsArgs {
    #[arg(
        long,
        alias = "from",
        default_value = "7d",
        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,
        default_value = "day",
        help = "Group by period (hour, day, week, month)"
    )]
    pub group_by: String,

    #[arg(long, help = "Filter by agent name")]
    pub agent: Option<String>,

    #[arg(long, help = "Export results to CSV file")]
    pub export: Option<PathBuf>,
}

pub async fn execute(
    args: TrendsArgs,
    _config: &CliConfig,
) -> Result<CommandResult<AgentTrendsOutput>> {
    let ctx = AppContext::new().await?;
    let repo = AgentAnalyticsRepository::new(ctx.db_pool())?;
    execute_internal(args, &repo).await
}

pub async fn execute_with_pool(
    args: TrendsArgs,
    db_ctx: &DatabaseContext,
    _config: &CliConfig,
) -> Result<CommandResult<AgentTrendsOutput>> {
    let repo = AgentAnalyticsRepository::new(db_ctx.db_pool())?;
    execute_internal(args, &repo).await
}

async fn execute_internal(
    args: TrendsArgs,
    repo: &AgentAnalyticsRepository,
) -> Result<CommandResult<AgentTrendsOutput>> {
    let (start, end) = parse_time_range(args.since.as_ref(), args.until.as_ref())?;

    let rows = repo
        .get_tasks_for_trends(start, end, args.agent.as_deref())
        .await?;

    let mut buckets: HashMap<String, (i64, i64, i64)> = HashMap::new();

    for row in rows {
        let period_key = format_period_label(
            truncate_to_period(row.started_at, &args.group_by),
            &args.group_by,
        );
        let entry = buckets.entry(period_key).or_insert((0, 0, 0));
        entry.0 += 1;
        if row.status.as_deref() == Some("completed") {
            entry.1 += 1;
        }
        entry.2 += i64::from(row.execution_time_ms.unwrap_or(0));
    }

    let mut points: Vec<AgentTrendPoint> = buckets
        .into_iter()
        .map(|(timestamp, (total, completed, exec_time))| {
            let success_rate = if total > 0 {
                (completed as f64 / total as f64) * 100.0
            } else {
                0.0
            };
            let avg_time = if total > 0 { exec_time / total } else { 0 };

            AgentTrendPoint {
                timestamp,
                task_count: total,
                success_rate,
                avg_execution_time_ms: avg_time,
            }
        })
        .collect();

    points.sort_by(|a, b| a.timestamp.cmp(&b.timestamp));

    let output = AgentTrendsOutput {
        agent: args.agent.clone(),
        period: format_date_range(start, end),
        group_by: args.group_by.clone(),
        points,
    };

    if let Some(ref path) = args.export {
        let resolved_path = resolve_export_path(path)?;
        export_to_csv(&output.points, &resolved_path)?;
        CliService::success(&format!("Exported to {}", resolved_path.display()));
        return Ok(CommandResult::chart(output, ChartType::Line).with_skip_render());
    }

    if output.points.is_empty() {
        CliService::warning("No data found in the specified time range");
        return Ok(CommandResult::chart(output, ChartType::Line).with_skip_render());
    }

    Ok(CommandResult::chart(output, ChartType::Line).with_title("Agent Usage Trends"))
}