openAIContextModal function exported

export function openAIContextModal(): Promise<AIContextPayload | null> {
  return new Promise((resolve) => {
    // Ensure only one modal at a time
    removeModal();

    // ── State ──────────────────────────────────────────────────────────────
    let csvText = "";
    let imageDataUrl = "";
    let pdfPageDataUrls: string[] = [];

    // ── Overlay ────────────────────────────────────────────────────────────
    const overlay = document.createElement("div");
    overlay.id = "ai-context-modal-overlay";
    overlay.className = "modal-overlay ai-context-modal-overlay";
    overlay.style.display = "flex";

    overlay.innerHTML = `
      <div class="modal-content ai-context-modal-content" role="dialog" aria-modal="true" aria-label="${t("aiContextModalTitle")}">
        <div class="modal-header">
          <h3>🤖 ${t("aiContextModalTitle")}</h3>
          <button class="modal-close" id="ai-ctx-close" title="${t("close")}">×</button>
        </div>

        <div class="modal-body ai-context-modal-body">
          <p class="ai-ctx-help">${t("aiContextModalHelp")}</p>

          <!-- Free-form text -->
          <div class="form-group">
            <label for="ai-ctx-text">${t("aiContextTextLabel")}</label>
            <textarea
              id="ai-ctx-text"
              class="ai-ctx-textarea"
              rows="3"
              placeholder="${t("aiContextTextPlaceholder")}"
            ></textarea>
          </div>

          <!-- CSV upload -->
          <div class="form-group">
            <label for="ai-ctx-csv">${t("aiContextCsvLabel")}</label>
            <div class="ai-ctx-upload-zone" id="ai-ctx-csv-zone">
              <input type="file" id="ai-ctx-csv" accept=".csv,text/csv" class="ai-ctx-file-input" />
              <span class="ai-ctx-upload-icon">📄</span>
              <span id="ai-ctx-csv-name">${t("aiContextCsvPlaceholder")}</span>
            </div>
          </div>

          <!-- Image upload -->
          <div class="form-group">
            <label for="ai-ctx-image">${t("aiContextImageLabel")}</label>
            <div class="ai-ctx-upload-zone" id="ai-ctx-image-zone">
              <input type="file" id="ai-ctx-image" accept="image/*" class="ai-ctx-file-input" />
              <span class="ai-ctx-upload-icon">🖼️</span>
              <span id="ai-ctx-image-name">${t("aiContextImagePlaceholder")}</span>
            </div>
            <div id="ai-ctx-image-preview" class="ai-ctx-image-preview" style="display:none"></div>
          </div>

          <!-- PDF upload -->
          <div class="form-group">
            <label for="ai-ctx-pdf">${t("aiContextPdfLabel")}</label>
            <div class="ai-ctx-upload-zone" id="ai-ctx-pdf-zone">
              <input type="file" id="ai-ctx-pdf" accept=".pdf,application/pdf" class="ai-ctx-file-input" />
              <span class="ai-ctx-upload-icon">📑</span>
              <span id="ai-ctx-pdf-name">${t("aiContextPdfPlaceholder")}</span>
            </div>
            <div id="ai-ctx-pdf-status" class="ai-ctx-audio-status" style="display:none"></div>
          </div>
        </div>

        <div class="modal-footer">
          <button class="btn btn-secondary" id="ai-ctx-cancel">${t("cancel")}</button>
          <button class="btn btn-primary" id="ai-ctx-confirm">🤖 ${t("aiContextConfirm")}</button>
        </div>
      </div>
    `;

    document.body.appendChild(overlay);

    // ── Element refs ────────────────────────────────────────────────────────
    const closeBtn = overlay.querySelector<HTMLButtonElement>("#ai-ctx-close")!;
    const cancelBtn =
      overlay.querySelector<HTMLButtonElement>("#ai-ctx-cancel")!;
    const confirmBtn =
      overlay.querySelector<HTMLButtonElement>("#ai-ctx-confirm")!;
    const textArea =
      overlay.querySelector<HTMLTextAreaElement>("#ai-ctx-text")!;
    const csvInput = overlay.querySelector<HTMLInputElement>("#ai-ctx-csv")!;
    const csvName = overlay.querySelector<HTMLSpanElement>("#ai-ctx-csv-name")!;
    const csvZone = overlay.querySelector<HTMLDivElement>("#ai-ctx-csv-zone")!;
    const imageInput =
      overlay.querySelector<HTMLInputElement>("#ai-ctx-image")!;
    const imageName =
      overlay.querySelector<HTMLSpanElement>("#ai-ctx-image-name")!;
    const imageZone =
      overlay.querySelector<HTMLDivElement>("#ai-ctx-image-zone")!;
    const imagePreview = overlay.querySelector<HTMLDivElement>(
      "#ai-ctx-image-preview",
    )!;
    const pdfInput = overlay.querySelector<HTMLInputElement>("#ai-ctx-pdf")!;
    const pdfName = overlay.querySelector<HTMLSpanElement>("#ai-ctx-pdf-name")!;
    const pdfZone = overlay.querySelector<HTMLDivElement>("#ai-ctx-pdf-zone")!;
    const pdfStatus =
      overlay.querySelector<HTMLDivElement>("#ai-ctx-pdf-status")!;

    // ── Dismiss ─────────────────────────────────────────────────────────────
    const dismiss = (payload: AIContextPayload | null): void => {
      removeModal();
      resolve(payload);
    };

    closeBtn.addEventListener("click", () => dismiss(null));
    cancelBtn.addEventListener("click", () => dismiss(null));
    overlay.addEventListener("click", (e) => {
      if (e.target === overlay) dismiss(null);
    });

    // ── CSV upload ───────────────────────────────────────────────────────────
    csvZone.addEventListener("click", () => csvInput.click());

    csvInput.addEventListener("change", () => {
      const file = csvInput.files?.[0];
      if (!file) return;
      csvName.textContent = file.name;
      csvZone.classList.add("has-file");
      const reader = new FileReader();
      reader.onload = (e) => {
        csvText = (e.target?.result as string) ?? "";
      };
      reader.readAsText(file, "UTF-8");
    });

    // Drag-and-drop for CSV
    csvZone.addEventListener("dragover", (e) => {
      e.preventDefault();
      csvZone.classList.add("drag-over");
    });
    csvZone.addEventListener("dragleave", () =>
      csvZone.classList.remove("drag-over"),
    );
    csvZone.addEventListener("drop", (e) => {
      e.preventDefault();
      csvZone.classList.remove("drag-over");
      const file = e.dataTransfer?.files[0];
      if (!file) return;
      csvName.textContent = file.name;
      csvZone.classList.add("has-file");
      const reader = new FileReader();
      reader.onload = (ev) => {
        csvText = (ev.target?.result as string) ?? "";
      };
      reader.readAsText(file, "UTF-8");
    });

    // ── Image upload ─────────────────────────────────────────────────────────
    imageZone.addEventListener("click", () => imageInput.click());

    /**
     * Compresses an image data URL to a JPEG with max side ≤ maxDimension.
     * Runs in the popup/devtools context where the Canvas API is available.
     */
    const compressImage = (
      dataUrl: string,
      maxDimension = 1024,
      quality = 0.7,
    ): Promise<string> =>
      new Promise((resolve, reject) => {
        const img = new Image();
        img.onload = () => {
          const scale = Math.min(
            1,
            maxDimension / Math.max(img.width, img.height),
          );
          const canvas = document.createElement("canvas");
          canvas.width = Math.round(img.width * scale);
          canvas.height = Math.round(img.height * scale);
          const ctx = canvas.getContext("2d");
          if (!ctx) {
            resolve(dataUrl);
            return;
          }
          ctx.drawImage(img, 0, 0, canvas.width, canvas.height);
          const compressed = canvas.toDataURL("image/jpeg", quality);
          log.debug(
            `Imagem comprimida: ${img.width}×${img.height} → ${canvas.width}×${canvas.height} ` +
              `(${(dataUrl.length / 1024).toFixed(0)}KB → ${(compressed.length / 1024).toFixed(0)}KB)`,
          );
          resolve(compressed);
        };
        img.onerror = reject;
        img.src = dataUrl;
      });

    const handleImageFile = (file: File): void => {
      imageName.textContent = file.name;
      imageZone.classList.add("has-file");
      const reader = new FileReader();
      reader.onload = (e) => {
        const raw = (e.target?.result as string) ?? "";
        void compressImage(raw).then((compressed) => {
          imageDataUrl = compressed;
          imagePreview.style.display = "block";
          imagePreview.innerHTML = `<img src="${imageDataUrl}" alt="Preview" class="ai-ctx-preview-img" />`;
        });
      };
      reader.readAsDataURL(file);
    };

    imageInput.addEventListener("change", () => {
      const file = imageInput.files?.[0];
      if (file) handleImageFile(file);
    });

    // Drag-and-drop for image
    imageZone.addEventListener("dragover", (e) => {
      e.preventDefault();
      imageZone.classList.add("drag-over");
    });
    imageZone.addEventListener("dragleave", () =>
      imageZone.classList.remove("drag-over"),
    );
    imageZone.addEventListener("drop", (e) => {
      e.preventDefault();
      imageZone.classList.remove("drag-over");
      const file = e.dataTransfer?.files[0];
      if (!file || !file.type.startsWith("image/")) return;
      handleImageFile(file);
    });

    // ── PDF upload ───────────────────────────────────────────────────────────
    pdfZone.addEventListener("click", () => pdfInput.click());

    const handlePdfFile = (file: File): void => {
      if (!file || file.type !== "application/pdf") return;
      pdfName.textContent = file.name;
      pdfZone.classList.add("has-file");
      pdfStatus.style.display = "block";
      pdfStatus.textContent = t("aiContextPdfExtracting");

      const reader = new FileReader();
      reader.onload = (e) => {
        const buffer = e.target?.result as ArrayBuffer;
        log.debug(
          `PDF selecionado: ${file.name}, tamanho=${(buffer.byteLength / 1024).toFixed(1)}KB`,
        );
        void (async () => {
          try {
            // Renderiza as páginas como imagens — a IA lê o PDF visualmente.
            // Não extraímos texto: o modelo multimodal interpreta as imagens.
            const pageUrls = await renderPdfToImageDataUrls(buffer);
            pdfPageDataUrls = pageUrls;
            log.info(
              `PDF processado: ${pageUrls.length} página(s) enviada(s) à IA como imagem.`,
            );
            pdfStatus.textContent = t("aiContextPdfDone");
          } catch (err) {
            log.warn("Falha ao processar PDF:", err);
            pdfStatus.textContent = t("aiContextPdfError");
          }
        })();
      };
      reader.onerror = (e) => {
        log.warn("Erro ao ler arquivo PDF:", e);
        pdfStatus.textContent = t("aiContextPdfError");
      };
      reader.readAsArrayBuffer(file);
    };

    pdfInput.addEventListener("change", () => {
      const file = pdfInput.files?.[0];
      if (file) handlePdfFile(file);
    });

    pdfZone.addEventListener("dragover", (e) => {
      e.preventDefault();
      pdfZone.classList.add("drag-over");
    });
    pdfZone.addEventListener("dragleave", () =>
      pdfZone.classList.remove("drag-over"),
    );
    pdfZone.addEventListener("drop", (e) => {
      e.preventDefault();
      pdfZone.classList.remove("drag-over");
      const file = e.dataTransfer?.files[0];
      if (file) handlePdfFile(file);
    });

    // ── Confirm ──────────────────────────────────────────────────────────────
    confirmBtn.addEventListener("click", () => {
      const text = textArea.value.trim();
      const payload: AIContextPayload = {};

      if (text) payload.text = text;
      if (csvText) payload.csvText = csvText;
      if (imageDataUrl) payload.imageDataUrl = imageDataUrl;
      if (pdfPageDataUrls.length > 0) payload.pdfPageDataUrls = pdfPageDataUrls;

      dismiss(payload);
    });

    // Trap focus on first input
    textArea.focus();
  });
}