#!/usr/bin/env node
// ============================================================================
// @mintel/estimation-engine — CLI Entry Point
// ============================================================================

import { Command } from "commander";
import * as path from "node:path";
import * as fs from "node:fs/promises";
import { existsSync } from "node:fs";
import { config as dotenvConfig } from "dotenv";
import { EstimationPipeline } from "./pipeline.js";
import type { ProjectConcept } from "@mintel/concept-engine";

// Load .env from monorepo root
dotenvConfig({ path: path.resolve(process.cwd(), "../../.env") });
dotenvConfig({ path: path.resolve(process.cwd(), ".env") });

const program = new Command();

program
  .name("estimate")
  .description("AI-powered project estimation engine")
  .version("1.0.0");

program
  .command("run")
  .description("Run the financial estimation pipeline from a concept file")
  .argument("<concept-file>", "Path to the ProjectConcept JSON file")
  .option("--budget <budget>", "Budget constraint (e.g. '15.000 €')")
  .option("--output <dir>", "Output directory", "../../out/estimations")
  .action(async (conceptFile: string, options: any) => {
    const openrouterKey =
      process.env.OPENROUTER_API_KEY || process.env.OPENROUTER_KEY;
    if (!openrouterKey) {
      console.error("❌ OPENROUTER_API_KEY not found in environment.");
      process.exit(1);
    }

    const filePath = path.resolve(process.cwd(), conceptFile);
    if (!existsSync(filePath)) {
      console.error(`❌ Concept file not found: ${filePath}`);
      process.exit(1);
    }

    console.log(`📄 Loading concept from: ${filePath}`);
    const rawConcept = await fs.readFile(filePath, "utf8");
    const concept = JSON.parse(rawConcept) as ProjectConcept;

    const pipeline = new EstimationPipeline(
      {
        openrouterKey,
        outputDir: path.resolve(process.cwd(), options.output),
        crawlDir: "", // No longer needed here
      },
      {
        onStepStart: (_id, _name) => {},
        onStepComplete: (_id, _result) => {},
      },
    );

    try {
      const result = await pipeline.run({
        concept,
        budget: options.budget,
      });

      console.log("\n✨ Estimation complete!");

      if (result.validationResult && !result.validationResult.passed) {
        console.log(
          `\n⚠️ ${result.validationResult.errors.length} validation issues found.`,
        );
        console.log("   Review the output JSON and re-run problematic steps.");
      }
    } catch (err) {
      console.error(`\n❌ Pipeline failed: ${(err as Error).message}`);
      process.exit(1);
    }
  });

program.parse();