concept-analyzer 0.1.1

//! Simple API for one-call concept analysis
//!
//! This module provides a simple API interface for analyzing repositories
//! and publishing first-principles instructions to S3.

use anyhow::Result;
#[cfg(feature = "api")]
use axum::{
    extract::{Json, State},
    http::StatusCode,
    response::IntoResponse,
    routing::post,
    Router,
};
use serde::{Deserialize, Serialize};
use std::path::PathBuf;
#[cfg(feature = "api")]
use tower_http::cors::CorsLayer;

use crate::unified_pipeline::analyze_repository;

#[derive(Debug, Clone, Deserialize)]
pub struct AnalyzeRequest {
    /// Path to the repository or corpus to analyze
    pub repo_path: String,
    /// S3 bucket to publish results to
    pub s3_bucket: String,
    /// S3 key (path within bucket) for the output file
    pub s3_key: String,
    /// Optional number of worker threads (defaults to CPU count)
    pub workers: Option<usize>,
}

#[derive(Debug, Clone, Serialize)]
pub struct AnalyzeResponse {
    /// S3 URL where the results were published
    pub s3_url: String,
    /// Summary of what was analyzed
    pub summary: String,
}

#[derive(Clone)]
pub struct ApiState {
    llm_api_key: String,
}

#[cfg(feature = "api")]
pub async fn create_api_router(llm_api_key: String) -> axum::Router {
    let state = ApiState { llm_api_key };

    Router::new()
        .route("/analyze", post(analyze_handler))
        .layer(CorsLayer::permissive())
        .with_state(state)
}

#[cfg(feature = "api")]
async fn analyze_handler(
    State(state): State<ApiState>,
    Json(request): Json<AnalyzeRequest>,
) -> impl IntoResponse {
    let repo_path = PathBuf::from(&request.repo_path);

    if !repo_path.exists() {
        return (
            StatusCode::BAD_REQUEST,
            Json(serde_json::json!({
                "error": "Repository path does not exist"
            })),
        )
            .into_response();
    }

    match analyze_repository(
        &repo_path,
        &request.s3_bucket,
        &request.s3_key,
        state.llm_api_key.clone(),
        request.workers,
    )
    .await
    {
        Ok(s3_url) => {
            let response = AnalyzeResponse {
                s3_url: s3_url.clone(),
                summary: format!(
                    "Successfully analyzed {} and published first-principles instructions to {}",
                    request.repo_path, s3_url
                ),
            };
            (StatusCode::OK, Json(response)).into_response()
        }
        Err(e) => (
            StatusCode::INTERNAL_SERVER_ERROR,
            Json(serde_json::json!({
                "error": format!("Analysis failed: {}", e)
            })),
        )
            .into_response(),
    }
}

// CLI entry point
pub async fn run_cli_analysis(
    repo_path: &str,
    s3_bucket: &str,
    s3_key: &str,
    llm_api_key: &str,
) -> Result<()> {
    // Set up environment for demo-friendly output
    std::env::set_var("RUST_LOG", "concept_analyzer=info");
    env_logger::init();

    println!("\n🎯 CONCEPT ANALYZER - First Principles Extractor");
    println!("━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━");
    println!("\nThis tool will:");
    println!("  1. Scan your repository for source files");
    println!("  2. Extract high-level concepts using AI");
    println!("  3. Analyze relationships between concepts");
    println!("  4. Identify critical gaps in functionality");
    println!("  5. Generate rebuild instructions from first principles");
    println!("  6. Publish results to S3 for agent consumption");
    println!("\n━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━");

    let s3_url = analyze_repository(
        &PathBuf::from(repo_path),
        s3_bucket,
        s3_key,
        llm_api_key.to_string(),
        None,
    )
    .await?;

    println!("\n\n🎉 SUCCESS! Your first-principles blueprint is ready!");
    println!("━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━");
    println!("\n📋 Output Summary:");
    println!("  ✓ Essential concepts extracted");
    println!("  ✓ Core relationships mapped");
    println!("  ✓ Build order optimized");
    println!("  ✓ Critical gaps identified");
    println!("  ✓ Rebuild instructions generated");
    println!("\n📍 Location: {}", s3_url);
    println!("\n💡 An AI agent can now use this blueprint to:");
    println!("  • Understand the system's core purpose");
    println!("  • Rebuild it from scratch");
    println!("  • Fill in the identified gaps");
    println!("  • Maintain architectural consistency");
    println!("\n━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\n");

    Ok(())
}