import * as fs from "node:fs";
import * as path from "node:path";
import * as os from "node:os";
import { spawn } from "node:child_process";
import { GoogleGenAI } from "@google/genai";

export const NANO_BANANA_MODELS = [
  {
    id: "codex-image-gen",
    label: "OpenAI Codex (gpt-5.6-sol + Built-in image_gen) — Recommended",
    description: "codex-image-gen — High-resolution photorealistic raster PNG product & apparel mockups via OpenAI Codex built-in image_gen"
  },
  {
    id: "gemini-nano-banana-2.1",
    label: "Nano Banana 2.1 (Google Gemini + Free-Tier Auto Fallback)",
    description: "gemini-nano-banana-2.1 — Uses native Nano Banana 2.1 on Tier 1 keys, with automatic Gemini 3.1 Flash-Lite Vector Mockup fallback on Free Tier keys"
  },
  {
    id: "gemini-3-pro-image",
    label: "Nano Banana Pro (Gemini Studio Quality)",
    description: "gemini-3-pro-image — High-detail studio mockup generation and multi-turn editing"
  },
  {
    id: "gemini-3.1-flash-lite-image",
    label: "Nano Banana 2 Lite (Gemini Ultra-Fast)",
    description: "gemini-3.1-flash-lite-image — Rapid concept sketching and quick iterations"
  }
];

export const SURFACE_PRESETS = {
  "tshirt-front": {
    label: "👕 T-Shirt (Full Front Print)",
    buildPrompt: ({ prompt, garmentColorName, garmentHex }) =>
      `Photorealistic studio flat-lay apparel mockup of a heavyweight ${garmentColorName || "vintage cream"} (${garmentHex || "#F5E8D3"}) crewneck t-shirt. Centered full-front screenprint graphic design: ${prompt}. Crisp fabric texture, authentic screenprint ink detail, clean studio lighting.`
  },
  "tshirt-left-chest": {
    label: "👕 T-Shirt (5-inch Left-Chest Emblem)",
    buildPrompt: ({ prompt, garmentColorName, garmentHex }) =>
      `Photorealistic studio closeup & flat-lay apparel mockup of a heavyweight ${garmentColorName || "vintage cream"} (${garmentHex || "#F5E8D3"}) crewneck t-shirt featuring a compact 5-inch left-chest pocket-zone screenprinted emblem: ${prompt}. Clean vector-style spot-color ink on fabric, studio lighting.`
  },
  "isolated-graphic": {
    label: "🎨 Isolated Screenprint Artwork (Vector Style)",
    buildPrompt: ({ prompt, garmentColorName }) =>
      `Isolated flat vector screenprint t-shirt graphic emblem on a clean solid ${garmentColorName || "cream"} background, no shirt folds, bold spot-color illustration and outlined vintage typography: ${prompt}`
  },
  "sticker": {
    label: "🏷️ Die-Cut Vinyl Sticker / Patch",
    buildPrompt: ({ prompt }) =>
      `Photorealistic die-cut vinyl sticker with a crisp white contour border resting on a dark slate studio surface. Bold vector illustration and typography: ${prompt}`
  },
  "poster": {
    label: "🖼️ Framed Studio Art Poster",
    buildPrompt: ({ prompt }) =>
      `Gallery-framed vertical screenprint poster mockup in a minimalist studio interior. Bold editorial illustration and typography: ${prompt}`
  },
  "app-ui": {
    label: "💻 Product / App Interface Concept",
    buildPrompt: ({ prompt }) =>
      `High-craft modern product design and UI concept presentation mockup on a sleek dark desktop studio display: ${prompt}`
  }
};

export function buildNanoBananaPrompt({
  rawPrompt,
  ideaTitle,
  elevatorPitch,
  template = "tshirt-front",
  garmentColorName = "Vintage Cream",
  garmentHex = "#F5E8D3",
  whackCard = null,
  editInstruction = null
}) {
  if (editInstruction && editInstruction.trim()) {
    let editText = editInstruction.trim();
    if (whackCard) {
      editText += ` Incorporate creative twist from Card #${whackCard.number} (${whackCard.title}): ${whackCard.promptQuestion}`;
    }
    return editText;
  }

  const baseConcept = (rawPrompt && rawPrompt.trim())
    ? rawPrompt.trim()
    : `${ideaTitle}${elevatorPitch ? ` — ${elevatorPitch}` : ""}`;

  const surface = SURFACE_PRESETS[template] || SURFACE_PRESETS["tshirt-front"];
  let finalPrompt = surface.buildPrompt({
    prompt: baseConcept,
    garmentColorName,
    garmentHex
  });

  if (whackCard) {
    finalPrompt += ` Creative direction inspired by "${whackCard.title}": ${whackCard.promptQuestion}`;
  }
  return finalPrompt;
}

export function isCodexConfigured() {
  const codexHome = process.env.CODEX_HOME || path.join(os.homedir(), ".codex");
  return fs.existsSync(path.join(codexHome, "auth.json"));
}

function findNewestGeneratedImage(generatedImagesRoot, startedAtMs) {
  if (!fs.existsSync(generatedImagesRoot)) return null;
  let newestFile = null;
  let newestMtime = 0;

  for (const entry of fs.readdirSync(generatedImagesRoot, { withFileTypes: true })) {
    const fullEntry = path.join(generatedImagesRoot, entry.name);
    if (entry.isDirectory()) {
      for (const sub of fs.readdirSync(fullEntry, { withFileTypes: true })) {
        if (sub.isFile() && /\.(png|jpg|jpeg|webp)$/i.test(sub.name)) {
          const candidate = path.join(fullEntry, sub.name);
          const stat = fs.statSync(candidate);
          if (stat.mtimeMs >= startedAtMs - 2000 && stat.mtimeMs > newestMtime) {
            newestMtime = stat.mtimeMs;
            newestFile = candidate;
          }
        }
      }
    } else if (entry.isFile() && /\.(png|jpg|jpeg|webp)$/i.test(entry.name)) {
      const stat = fs.statSync(fullEntry);
      if (stat.mtimeMs >= startedAtMs - 2000 && stat.mtimeMs > newestMtime) {
        newestMtime = stat.mtimeMs;
        newestFile = fullEntry;
      }
    }
  }
  return newestFile;
}

/**
 * Generates or edits a high-resolution raster PNG mockup using OpenAI Codex CLI
 * (`codex exec -m gpt-5.6-sol`) and its built-in `image_gen` tool.
 */
export async function generateWithCodex({
  prompt,
  referenceImagePath = null,
  outputDir
}) {
  const codexHome = process.env.CODEX_HOME || path.join(os.homedir(), ".codex");
  const generatedImagesRoot = path.join(codexHome, "generated_images");
  const startedAtMs = Date.now();

  const instruction = referenceImagePath && fs.existsSync(referenceImagePath)
    ? `Use the built-in image_gen tool right now to edit the attached reference image according to this instruction: ${prompt}. Do not run any shell commands, just call image_gen and reply DONE.`
    : `Use the built-in image_gen tool right now to generate this image: ${prompt}. Do not run any shell commands, just call image_gen and reply DONE.`;

  const args = [
    "exec",
    "-m",
    process.env.CODEX_MODEL || "gpt-5.6-sol",
    "--skip-git-repo-check",
    "--json"
  ];

  if (referenceImagePath && fs.existsSync(referenceImagePath) && !referenceImagePath.endsWith(".svg")) {
    args.push("-i", referenceImagePath);
  }
  args.push(instruction);

  const { stdout, stderr, exitCode } = await new Promise((resolve, reject) => {
    const child = spawn("codex", args, {
      stdio: ["ignore", "pipe", "pipe"],
      env: { ...process.env }
    });

    let out = "";
    let err = "";
    child.stdout.on("data", (d) => {
      out += d.toString();
    });
    child.stderr.on("data", (d) => {
      err += d.toString();
    });
    child.on("error", reject);
    child.on("close", (code) => {
      resolve({ stdout: out, stderr: err, exitCode: code });
    });
  });

  // Extract thread_id from JSONL stdout
  let threadId = null;
  let lastAgentText = null;
  for (const line of stdout.split("\n")) {
    const trimmed = line.trim();
    if (!trimmed.startsWith("{")) continue;
    try {
      const evt = JSON.parse(trimmed);
      if (evt.type === "thread.started" && evt.thread_id) {
        threadId = evt.thread_id;
      } else if (evt.type === "item.completed" && evt.item?.type === "agent_message") {
        lastAgentText = evt.item.text;
      }
    } catch {
      // ignore non-json lines
    }
  }

  let sourceImagePath = null;
  if (threadId) {
    const threadDir = path.join(generatedImagesRoot, threadId);
    if (fs.existsSync(threadDir)) {
      const files = fs
        .readdirSync(threadDir)
        .filter((f) => /\.(png|jpg|jpeg|webp)$/i.test(f))
        .map((f) => path.join(threadDir, f));
      if (files.length > 0) {
        sourceImagePath = files[files.length - 1];
      }
    }
  }

  if (!sourceImagePath) {
    sourceImagePath = findNewestGeneratedImage(generatedImagesRoot, startedAtMs);
  }

  if (!sourceImagePath || !fs.existsSync(sourceImagePath)) {
    throw new Error(
      `Codex completed (exit ${exitCode}) without saving an image. ${stderr || lastAgentText || ""}`.trim()
    );
  }

  const ext = path.extname(sourceImagePath).replace(/^\./, "") || "png";
  const filename = `codex-${Date.now()}-${Math.random().toString(36).slice(2, 7)}.${ext}`;
  const fullPath = path.join(outputDir, filename);

  fs.mkdirSync(outputDir, { recursive: true });
  fs.copyFileSync(sourceImagePath, fullPath);

  return {
    filename,
    imageUrl: `/mockups/${filename}`,
    mimeType: `image/${ext === "jpg" ? "jpeg" : ext}`,
    modelUsed: "OpenAI Codex (gpt-5.6-sol / image_gen)",
    interactionId: threadId,
    textNotes: "Generated high-resolution raster PNG via OpenAI Codex built-in image_gen."
  };
}

function extractSvgBlock(text) {
  if (!text) return null;
  const match = String(text).match(/<svg[\s\S]*?<\/svg>/i);
  if (!match) return null;
  let svg = match[0];
  if (!svg.includes("xmlns=")) {
    svg = svg.replace("<svg", '<svg xmlns="http://www.w3.org/2000/svg"');
  }
  return svg;
}

/**
 * Free-Tier Fallback: When Google AI Studio's Free Tier blocks raster image models
 * (`limit: 0 input tokens per minute on Free Tier`), uses `gemini-3.1-flash-lite`
 * on the same API key to generate a custom, detailed multi-layer SVG product/apparel mockup!
 */
async function generateFreeTierSvgMockup({
  ai,
  prompt,
  referenceImagePath,
  outputDir
}) {
  let previousSvgSnippet = "";
  if (referenceImagePath && referenceImagePath.endsWith(".svg") && fs.existsSync(referenceImagePath)) {
    previousSvgSnippet = fs.readFileSync(referenceImagePath, "utf-8").slice(0, 12000);
  }

  const svgPrompt = [
    "You are an expert apparel & product graphic designer and SVG illustrator.",
    "Generate a complete, standalone, richly detailed 800x800 SVG (`viewBox=\"0 0 800 800\"`) product mockup for the following brief:",
    `BRIEF: ${prompt}`,
    previousSvgSnippet
      ? `EXISTING SVG TO EDIT/REFINE:\n${previousSvgSnippet}\nApply the requested changes while preserving or improving the overall composition.`
      : "",
    "DESIGN RULES:",
    "1. Include a sleek studio backdrop (`#121621` radial gradient).",
    "2. If the brief mentions a t-shirt, draw a realistic, well-proponed crewneck t-shirt silhouette with collar ribbing, sleeve seams, subtle fabric shading, and the requested garment hex color. Place the custom screenprint illustration and vintage typography either full-front (`cx=400, cy=360`) or in the 5-inch left-chest pocket zone (`cx=490, cy=285`, scaled compactly) according to the brief.",
    "3. If the brief is a sticker, poster, or app UI, draw the realistic die-cut border, gallery frame, or device frame accordingly.",
    "4. Draw rich, multi-layered custom vector illustration paths, badges, emblems, stars/mountains/icons, and bold screenprint typography with high contrast against the garment/surface color.",
    "5. Return ONLY the raw `<svg xmlns=\"http://www.w3.org/2000/svg\" viewBox=\"0 0 800 800\">...</svg>` code block with no markdown explanation."
  ]
    .filter(Boolean)
    .join("\n\n");

  const interaction = await ai.interactions.create({
    model: "gemini-3.1-flash-lite",
    input: svgPrompt
  });

  const svgContent = extractSvgBlock(interaction.output_text);
  if (!svgContent) {
    throw new Error("Free-tier fallback completed without valid SVG output.");
  }

  const filename = `nb-svg-${Date.now()}-${Math.random().toString(36).slice(2, 7)}.svg`;
  const fullPath = path.join(outputDir, filename);
  fs.mkdirSync(outputDir, { recursive: true });
  fs.writeFileSync(fullPath, svgContent, "utf-8");

  return {
    filename,
    imageUrl: `/mockups/${filename}`,
    mimeType: "image/svg+xml",
    modelUsed: "gemini-3.1-flash-lite (Free-Tier Vector Mockup)",
    interactionId: interaction.id || null,
    textNotes: "Generated via Gemini 3.1 Flash-Lite Vector Studio."
  };
}

/**
 * Generates or edits an image using:
 * 1. OpenAI Codex (`codex-image-gen`) built-in `image_gen` tool (default when selected or when Codex auth is available), OR
 * 2. Google Gemini Nano Banana (`gemini-nano-banana-2.1`) with automatic fallback to `Codex` or `gemini-3.1-flash-lite` SVG when Free Tier quota is 0.
 */
export async function generateWithNanoBanana({
  apiKey,
  model = "codex-image-gen",
  prompt,
  referenceImagePath = null,
  referenceImageBase64 = null,
  referenceMimeType = "image/png",
  outputDir
}) {
  // 1. Primary path: OpenAI Codex built-in image_gen
  if (model === "codex-image-gen" || (!apiKey && isCodexConfigured())) {
    return await generateWithCodex({
      prompt,
      referenceImagePath,
      outputDir
    });
  }

  const resolvedKey = apiKey || process.env.GEMINI_API_KEY || process.env.GOOGLE_API_KEY;
  if (!resolvedKey) {
    if (isCodexConfigured()) {
      return await generateWithCodex({
        prompt,
        referenceImagePath,
        outputDir
      });
    }
    const err = new Error(
      "No AI image provider configured. Select 'OpenAI Codex (image_gen)' or configure a Gemini API key in Settings."
    );
    err.code = "MISSING_API_KEY";
    throw err;
  }

  const validModel = NANO_BANANA_MODELS.some((m) => m.id === model)
    ? model
    : "gemini-nano-banana-2.1";

  const ai = new GoogleGenAI({ apiKey: resolvedKey });

  let inputPayload = prompt;
  let base64Data = referenceImageBase64;
  let mimeType = referenceMimeType || "image/png";

  if (!base64Data && referenceImagePath && fs.existsSync(referenceImagePath) && !referenceImagePath.endsWith(".svg")) {
    const bytes = fs.readFileSync(referenceImagePath);
    base64Data = bytes.toString("base64");
    if (referenceImagePath.endsWith(".jpg") || referenceImagePath.endsWith(".jpeg")) {
      mimeType = "image/jpeg";
    }
  }

  if (base64Data) {
    const cleanedBase64 = base64Data.replace(/^data:image\/[a-zA-Z0-9+.-]+;base64,/, "");
    inputPayload = [
      { type: "text", text: prompt },
      {
        type: "image",
        mime_type: mimeType,
        data: cleanedBase64
      }
    ];
  }

  try {
    const interaction = await ai.interactions.create({
      model: validModel,
      input: inputPayload
    });

    const generatedImage = interaction.output_image;
    if (!generatedImage || !generatedImage.data) {
      throw new Error(
        interaction.output_text ||
          "Nano Banana completed the interaction without returning an image block."
      );
    }

    const ext = (generatedImage.mime_type || "").includes("jpeg") ? "jpg" : "png";
    const filename = `nb-${Date.now()}-${Math.random().toString(36).slice(2, 7)}.${ext}`;
    const fullPath = path.join(outputDir, filename);

    fs.mkdirSync(outputDir, { recursive: true });
    fs.writeFileSync(fullPath, Buffer.from(generatedImage.data, "base64"));

    return {
      filename,
      imageUrl: `/mockups/${filename}`,
      mimeType: generatedImage.mime_type || `image/${ext}`,
      modelUsed: validModel,
      interactionId: interaction.id || null,
      textNotes: interaction.output_text || null
    };
  } catch (err) {
    const msg = String(err?.message || "");
    if (msg.includes("429") || msg.includes("Free Tier") || msg.includes("limit: 0") || msg.includes("quota")) {
      // If OpenAI Codex is authenticated on this host, prefer high-res raster generation via Codex!
      if (isCodexConfigured()) {
        return await generateWithCodex({
          prompt,
          referenceImagePath,
          outputDir
        });
      }
      return await generateFreeTierSvgMockup({
        ai,
        prompt,
        referenceImagePath,
        outputDir
      });
    }
    throw err;
  }
}