aptu_core/

history.rs

// SPDX-License-Identifier: Apache-2.0

//! Local contribution history tracking.
//!
//! Stores contribution records in `~/.local/share/aptu/history.json`.
//! Each contribution tracks repo, issue, action, timestamp, and status.

use std::fs;
use std::path::PathBuf;

use anyhow::{Context, Result};
use chrono::{DateTime, Utc};
use serde::{Deserialize, Serialize};
use uuid::Uuid;

use crate::config::data_dir;

/// AI usage statistics for a contribution.
#[derive(Debug, Clone, Serialize, Deserialize, PartialEq)]
pub struct AiStats {
    /// Model used for analysis.
    pub model: String,
    /// Number of input tokens.
    pub input_tokens: u64,
    /// Number of output tokens.
    pub output_tokens: u64,
    /// Duration of the API call in milliseconds.
    pub duration_ms: u64,
    /// Cost in USD (from `OpenRouter` API, `None` if not reported).
    #[serde(default)]
    pub cost_usd: Option<f64>,
}

/// Status of a contribution.
#[derive(Debug, Clone, Default, Serialize, Deserialize, PartialEq, Eq)]
#[serde(rename_all = "lowercase")]
pub enum ContributionStatus {
    /// Contribution submitted, awaiting maintainer response.
    #[default]
    Pending,
    /// Maintainer accepted the contribution.
    Accepted,
    /// Maintainer rejected the contribution.
    Rejected,
}

/// A single contribution record.
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct Contribution {
    /// Unique identifier.
    pub id: Uuid,
    /// Repository in "owner/repo" format.
    pub repo: String,
    /// Issue number.
    pub issue: u64,
    /// Action type (e.g., "triage").
    pub action: String,
    /// When the contribution was made.
    pub timestamp: DateTime<Utc>,
    /// URL to the posted comment.
    pub comment_url: String,
    /// Current status of the contribution.
    #[serde(default)]
    pub status: ContributionStatus,
    /// AI usage statistics for this contribution.
    #[serde(default, skip_serializing_if = "Option::is_none")]
    pub ai_stats: Option<AiStats>,
}

/// Container for all contribution history.
#[derive(Debug, Default, Serialize, Deserialize)]
pub struct HistoryData {
    /// List of contributions.
    pub contributions: Vec<Contribution>,
}

impl HistoryData {
    /// Calculate total tokens used across all contributions.
    #[must_use]
    pub fn total_tokens(&self) -> u64 {
        self.contributions
            .iter()
            .filter_map(|c| c.ai_stats.as_ref())
            .map(|stats| stats.input_tokens + stats.output_tokens)
            .sum()
    }

    /// Calculate total cost in USD across all contributions.
    #[must_use]
    pub fn total_cost(&self) -> f64 {
        self.contributions
            .iter()
            .filter_map(|c| c.ai_stats.as_ref())
            .filter_map(|stats| stats.cost_usd)
            .sum()
    }

    /// Calculate average tokens per triage.
    #[must_use]
    #[allow(clippy::cast_precision_loss)]
    pub fn avg_tokens_per_triage(&self) -> f64 {
        let contributions_with_stats: Vec<_> = self
            .contributions
            .iter()
            .filter_map(|c| c.ai_stats.as_ref())
            .collect();

        if contributions_with_stats.is_empty() {
            return 0.0;
        }

        let total: u64 = contributions_with_stats
            .iter()
            .map(|stats| stats.input_tokens + stats.output_tokens)
            .sum();

        total as f64 / contributions_with_stats.len() as f64
    }

    /// Calculate total cost grouped by model.
    #[must_use]
    pub fn cost_by_model(&self) -> std::collections::HashMap<String, f64> {
        let mut costs = std::collections::HashMap::new();

        for contribution in &self.contributions {
            if let Some(stats) = &contribution.ai_stats
                && let Some(cost) = stats.cost_usd
            {
                *costs.entry(stats.model.clone()).or_insert(0.0) += cost;
            }
        }

        costs
    }
}

/// Returns the path to the history file.
#[must_use]
pub fn history_file_path() -> PathBuf {
    data_dir().join("history.json")
}

/// Load contribution history from disk.
///
/// Returns empty history if file doesn't exist.
pub fn load() -> Result<HistoryData> {
    let path = history_file_path();

    if !path.exists() {
        return Ok(HistoryData::default());
    }

    let contents = fs::read_to_string(&path)
        .with_context(|| format!("Failed to read history file: {}", path.display()))?;

    let data: HistoryData = serde_json::from_str(&contents)
        .with_context(|| format!("Failed to parse history file: {}", path.display()))?;

    Ok(data)
}

/// Save contribution history to disk.
///
/// Creates parent directories if they don't exist.
pub fn save(data: &HistoryData) -> Result<()> {
    let path = history_file_path();

    // Create parent directories if needed
    if let Some(parent) = path.parent() {
        fs::create_dir_all(parent)
            .with_context(|| format!("Failed to create directory: {}", parent.display()))?;
    }

    let contents =
        serde_json::to_string_pretty(data).context("Failed to serialize history data")?;

    fs::write(&path, contents)
        .with_context(|| format!("Failed to write history file: {}", path.display()))?;

    Ok(())
}

/// Add a contribution to history.
///
/// Loads existing history, appends the new contribution, and saves.
pub fn add_contribution(contribution: Contribution) -> Result<()> {
    let mut data = load()?;
    data.contributions.push(contribution);
    save(&data)?;
    Ok(())
}

#[cfg(test)]
mod tests {
    use super::*;

    /// Create a test contribution.
    fn test_contribution() -> Contribution {
        Contribution {
            id: Uuid::new_v4(),
            repo: "owner/repo".to_string(),
            issue: 123,
            action: "triage".to_string(),
            timestamp: Utc::now(),
            comment_url: "https://github.com/owner/repo/issues/123#issuecomment-1".to_string(),
            status: ContributionStatus::Pending,
            ai_stats: None,
        }
    }

    #[test]
    fn test_contribution_serialization_roundtrip() {
        let contribution = test_contribution();
        let json = serde_json::to_string(&contribution).expect("serialize");
        let parsed: Contribution = serde_json::from_str(&json).expect("deserialize");

        assert_eq!(contribution.id, parsed.id);
        assert_eq!(contribution.repo, parsed.repo);
        assert_eq!(contribution.issue, parsed.issue);
        assert_eq!(contribution.action, parsed.action);
        assert_eq!(contribution.comment_url, parsed.comment_url);
        assert_eq!(contribution.status, parsed.status);
    }

    #[test]
    fn test_history_data_serialization_roundtrip() {
        let data = HistoryData {
            contributions: vec![test_contribution(), test_contribution()],
        };

        let json = serde_json::to_string_pretty(&data).expect("serialize");
        let parsed: HistoryData = serde_json::from_str(&json).expect("deserialize");

        assert_eq!(parsed.contributions.len(), 2);
    }

    #[test]
    fn test_contribution_status_default() {
        let status = ContributionStatus::default();
        assert_eq!(status, ContributionStatus::Pending);
    }

    #[test]
    fn test_contribution_status_serialization() {
        assert_eq!(
            serde_json::to_string(&ContributionStatus::Pending).unwrap(),
            "\"pending\""
        );
        assert_eq!(
            serde_json::to_string(&ContributionStatus::Accepted).unwrap(),
            "\"accepted\""
        );
        assert_eq!(
            serde_json::to_string(&ContributionStatus::Rejected).unwrap(),
            "\"rejected\""
        );
    }

    #[test]
    fn test_empty_history_default() {
        let data = HistoryData::default();
        assert!(data.contributions.is_empty());
    }

    #[test]
    fn test_ai_stats_serialization_roundtrip() {
        let stats = AiStats {
            model: "google/gemini-2.0-flash-exp:free".to_string(),
            input_tokens: 1000,
            output_tokens: 500,
            duration_ms: 1500,
            cost_usd: Some(0.0),
        };

        let json = serde_json::to_string(&stats).expect("serialize");
        let parsed: AiStats = serde_json::from_str(&json).expect("deserialize");

        assert_eq!(stats, parsed);
    }

    #[test]
    fn test_contribution_with_ai_stats() {
        let mut contribution = test_contribution();
        contribution.ai_stats = Some(AiStats {
            model: "google/gemini-2.0-flash-exp:free".to_string(),
            input_tokens: 1000,
            output_tokens: 500,
            duration_ms: 1500,
            cost_usd: Some(0.0),
        });

        let json = serde_json::to_string(&contribution).expect("serialize");
        let parsed: Contribution = serde_json::from_str(&json).expect("deserialize");

        assert!(parsed.ai_stats.is_some());
        assert_eq!(
            parsed.ai_stats.unwrap().model,
            "google/gemini-2.0-flash-exp:free"
        );
    }

    #[test]
    fn test_contribution_without_ai_stats_backward_compat() {
        let json = r#"{
            "id": "550e8400-e29b-41d4-a716-446655440000",
            "repo": "owner/repo",
            "issue": 123,
            "action": "triage",
            "timestamp": "2024-01-01T00:00:00Z",
            "comment_url": "https://github.com/owner/repo/issues/123#issuecomment-1",
            "status": "pending"
        }"#;

        let parsed: Contribution = serde_json::from_str(json).expect("deserialize");
        assert!(parsed.ai_stats.is_none());
    }

    #[test]
    fn test_total_tokens() {
        let mut data = HistoryData::default();

        let mut c1 = test_contribution();
        c1.ai_stats = Some(AiStats {
            model: "model1".to_string(),
            input_tokens: 100,
            output_tokens: 50,
            duration_ms: 1000,
            cost_usd: Some(0.01),
        });

        let mut c2 = test_contribution();
        c2.ai_stats = Some(AiStats {
            model: "model2".to_string(),
            input_tokens: 200,
            output_tokens: 100,
            duration_ms: 2000,
            cost_usd: Some(0.02),
        });

        data.contributions.push(c1);
        data.contributions.push(c2);
        data.contributions.push(test_contribution()); // No stats

        assert_eq!(data.total_tokens(), 450);
    }

    #[test]
    fn test_total_cost() {
        let mut data = HistoryData::default();

        let mut c1 = test_contribution();
        c1.ai_stats = Some(AiStats {
            model: "model1".to_string(),
            input_tokens: 100,
            output_tokens: 50,
            duration_ms: 1000,
            cost_usd: Some(0.01),
        });

        let mut c2 = test_contribution();
        c2.ai_stats = Some(AiStats {
            model: "model2".to_string(),
            input_tokens: 200,
            output_tokens: 100,
            duration_ms: 2000,
            cost_usd: Some(0.02),
        });

        data.contributions.push(c1);
        data.contributions.push(c2);

        assert!((data.total_cost() - 0.03).abs() < f64::EPSILON);
    }

    #[test]
    fn test_avg_tokens_per_triage() {
        let mut data = HistoryData::default();

        let mut c1 = test_contribution();
        c1.ai_stats = Some(AiStats {
            model: "model1".to_string(),
            input_tokens: 100,
            output_tokens: 50,
            duration_ms: 1000,
            cost_usd: Some(0.01),
        });

        let mut c2 = test_contribution();
        c2.ai_stats = Some(AiStats {
            model: "model2".to_string(),
            input_tokens: 200,
            output_tokens: 100,
            duration_ms: 2000,
            cost_usd: Some(0.02),
        });

        data.contributions.push(c1);
        data.contributions.push(c2);

        assert!((data.avg_tokens_per_triage() - 225.0).abs() < f64::EPSILON);
    }

    #[test]
    fn test_avg_tokens_per_triage_empty() {
        let data = HistoryData::default();
        assert!((data.avg_tokens_per_triage() - 0.0).abs() < f64::EPSILON);
    }

    #[test]
    fn test_cost_by_model() {
        let mut data = HistoryData::default();

        let mut c1 = test_contribution();
        c1.ai_stats = Some(AiStats {
            model: "model1".to_string(),
            input_tokens: 100,
            output_tokens: 50,
            duration_ms: 1000,
            cost_usd: Some(0.01),
        });

        let mut c2 = test_contribution();
        c2.ai_stats = Some(AiStats {
            model: "model1".to_string(),
            input_tokens: 200,
            output_tokens: 100,
            duration_ms: 2000,
            cost_usd: Some(0.02),
        });

        let mut c3 = test_contribution();
        c3.ai_stats = Some(AiStats {
            model: "model2".to_string(),
            input_tokens: 150,
            output_tokens: 75,
            duration_ms: 1500,
            cost_usd: Some(0.015),
        });

        data.contributions.push(c1);
        data.contributions.push(c2);
        data.contributions.push(c3);

        let costs = data.cost_by_model();
        assert_eq!(costs.len(), 2);
        assert!((costs.get("model1").unwrap() - 0.03).abs() < f64::EPSILON);
        assert!((costs.get("model2").unwrap() - 0.015).abs() < f64::EPSILON);
    }
}