frontend/src/components/UploadSection.tsx

import React, { useRef } from 'react';
import { UploadIcon } from 'lucide-react';

interface UploadSectionProps {
  selectedTest: string;
  uploadedImage: string | null;
  setUploadedImage: (image: string | null) => void;
  selectedModel: string;
  setSelectedModel: (model: string) => void;
  onAnalyze: () => void;
}



export function UploadSection({
  selectedTest,
  uploadedImage,
  setUploadedImage,
  selectedModel,
  setSelectedModel,
  onAnalyze,
}: UploadSectionProps) {
  const fileInputRef = useRef<HTMLInputElement>(null);

  const modelOptions = {
    cytology: [
      { value: 'mwt', label: 'Manalife_AI_MWT' },
      { value: 'yolo', label: 'Manalife_AI_YOLOv8' },
    ],
    colposcopy: [
      { value: 'cin', label: 'Manalife_MaANIA_Colpo' },

    ],
    histopathology: [
      { value: 'histopathology', label: 'ManalifeAI__Path Foundation Model' },

    ],
  };


    const sampleImages = {
    cytology: [
      "/cyto/neg1.bmp",
      "/cyto/neg2.png",
      "/cyto/LSIL1.png",
      "/cyto/LSIL2.png",
      "/cyto/HSIL1.jpg",
      "/cyto/HSIL2.JPG",
    ],
    colposcopy: [
      "/colpo/ab1.jpg",
      "/colpo/ab2.jpg",
      "/colpo/ab3.jpg",
      "/colpo/nor1.jpg",
      "/colpo/nor2.jpg",
      "/colpo/nor3.jpg",
    ],
    histopathology: [
      "/histo/hist1.png",
      "/histo/hist2.png",
      "/histo/hist3.jpg",
    ],
  };


  const currentModels =
    modelOptions[selectedTest as keyof typeof modelOptions] || [];

  const handleFileChange = (e: React.ChangeEvent<HTMLInputElement>) => {
    const file = e.target.files?.[0];
    if (file) {
      const reader = new FileReader();
      reader.onload = (event) => {
        setUploadedImage(event.target?.result as string);
      };
      reader.readAsDataURL(file);
    }
  };

  const handleDrop = (e: React.DragEvent) => {
    e.preventDefault();
    const file = e.dataTransfer.files[0];
    if (file) {
      const reader = new FileReader();
      reader.onload = (event) => {
        setUploadedImage(event.target?.result as string);
      };
      reader.readAsDataURL(file);
    }
  };

  // Handle click on sample image
  const handleSampleClick = (imgUrl: string) => {
    setUploadedImage(imgUrl);
  };

  return (
    <div className="bg-white rounded-lg shadow-sm p-6">
      <h2 className="text-2xl font-semibold text-gray-900 mb-6">
        Upload an image of a tissue sample
      </h2>

      {/* Upload Area */}
      <div
        onDrop={handleDrop}
        onDragOver={(e) => e.preventDefault()}
        onClick={() => fileInputRef.current?.click()}
        className="border-2 border-dashed border-gray-300 rounded-lg p-8 text-center cursor-pointer hover:border-blue-400 transition-colors"
      >
        <input
          ref={fileInputRef}
          type="file"
          accept="image/*"
          onChange={handleFileChange}
          className="hidden"
        />
        <div className="flex flex-col items-center">
          <div className="w-16 h-16 bg-gray-100 rounded-full flex items-center justify-center mb-4">
            <UploadIcon className="w-8 h-8 text-gray-400" />
          </div>
          {uploadedImage ? (
            <>
              <p className="text-teal-700 font-medium mb-2">
                Image uploaded successfully!
              </p>
              <p className="text-sm text-gray-500 mb-4">
                Click to upload a different image
              </p>
              <div className="w-32 h-32 rounded-lg overflow-hidden border border-gray-200">
                <img
                  src={uploadedImage}
                  alt="Uploaded sample"
                  className="w-full h-full object-cover"
                />
              </div>
            </>
          ) : (
            <p className="text-gray-600">Drag and drop or click to upload</p>
          )}
        </div>
      </div>

      {/* Model Selection */}
      <div className="mt-6">
        <label className="block text-sm font-medium text-gray-700 mb-2">
          Select Analysis Model:
        </label>
        <select
          value={selectedModel}
          onChange={(e) => setSelectedModel(e.target.value)}
          className="w-full px-4 py-3 border border-gray-300 rounded-lg focus:ring-2 focus:ring-blue-500 focus:border-transparent"
        >
          <option value="">Choose a model...</option>
          {currentModels.map((model) => (
            <option key={model.value} value={model.value}>
              {model.label}
            </option>
          ))}
        </select>
      </div>

      {/* Analyze Button */}
      <button
        type="button"
        onClick={(e) => {
          // Prevent clicks from bubbling to the upload area (which would trigger file select)
          e.stopPropagation();
          onAnalyze();
        }}
        disabled={!uploadedImage || !selectedModel}
        className={`w-full mt-6 text-white py-3 rounded-lg font-medium transition-colors ${
          !uploadedImage || !selectedModel
            ? 'bg-gray-300 disabled:cursor-not-allowed'
            : 'bg-gradient-to-r from-teal-800 to-teal-600 hover:opacity-95'
        }`}
      >
        Analyze
      </button>

      {/* Separator */}
      <hr className="my-8 border-gray-200" />

      {/* Sample Images Section */}
      <div>
        <h3 className="text-lg font-semibold text-gray-800 mb-4">
          Samples Images
        </h3>
        <div className="flex flex-wrap gap-4">
          {(sampleImages[selectedTest as keyof typeof sampleImages] || []).map(
            (img, index) => (
              <div
                key={index}
                className={`w-20 h-20 rounded-lg border-2 cursor-pointer transition-transform hover:scale-105 overflow-hidden ${
                  uploadedImage === img ? 'ring-2 ring-offset-1 ring-blue-800' : 'border-gray-300'
                }`}
                onClick={() => handleSampleClick(img)}
              >
                <img src={img} alt={`Sample ${index + 1}`} className="w-full h-full object-cover" />
              </div>
            )
          )}
        </div>
      </div>
    </div>
  );
}