JSON_data_converter.ipynb

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      "authorship_tag": "ABX9TyNS3nnf5Le3KpMGgjKs8Bm/",
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      "name": "python3",
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    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
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      "source": [
        "<a href=\"https://colab.research.google.com/github/elrf3lipes/Python_Automation_Projects/blob/master/JSON_data_converter.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "just need to run the cell below (play button) and upload \"input.json\" file at the bottom to test it..."
      ],
      "metadata": {
        "id": "-HZsrMMihyJl"
      }
    },
    {
      "cell_type": "code",
      "execution_count": 4,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 90
        },
        "id": "BjrL04fxYOyx",
        "outputId": "a8b60e42-b8c1-421f-d5b5-bec89aef0793"
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      "outputs": [
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              "      Upload widget is only available when the cell has been executed in the\n",
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              "      <script>// Copyright 2017 Google LLC\n",
              "//\n",
              "// Licensed under the Apache License, Version 2.0 (the \"License\");\n",
              "// you may not use this file except in compliance with the License.\n",
              "// You may obtain a copy of the License at\n",
              "//\n",
              "//      http://www.apache.org/licenses/LICENSE-2.0\n",
              "//\n",
              "// Unless required by applicable law or agreed to in writing, software\n",
              "// distributed under the License is distributed on an \"AS IS\" BASIS,\n",
              "// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n",
              "// See the License for the specific language governing permissions and\n",
              "// limitations under the License.\n",
              "\n",
              "/**\n",
              " * @fileoverview Helpers for google.colab Python module.\n",
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              "// This is roughly an async generator (not supported in the browser yet),\n",
              "// where there are multiple asynchronous steps and the Python side is going\n",
              "// to poll for completion of each step.\n",
              "// This uses a Promise to block the python side on completion of each step,\n",
              "// then passes the result of the previous step as the input to the next step.\n",
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              "  outputElement.innerHTML = '';\n",
              "\n",
              "  const pickedPromise = new Promise((resolve) => {\n",
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              "      resolve(e.target.files);\n",
              "    });\n",
              "  });\n",
              "\n",
              "  const cancel = document.createElement('button');\n",
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              "  cancel.textContent = 'Cancel upload';\n",
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              "  });\n",
              "\n",
              "  // Wait for the user to pick the files.\n",
              "  const files = yield {\n",
              "    promise: Promise.race([pickedPromise, cancelPromise]),\n",
              "    response: {\n",
              "      action: 'starting',\n",
              "    }\n",
              "  };\n",
              "\n",
              "  cancel.remove();\n",
              "\n",
              "  // Disable the input element since further picks are not allowed.\n",
              "  inputElement.disabled = true;\n",
              "\n",
              "  if (!files) {\n",
              "    return {\n",
              "      response: {\n",
              "        action: 'complete',\n",
              "      }\n",
              "    };\n",
              "  }\n",
              "\n",
              "  for (const file of files) {\n",
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              "    li.append(span(file.name, {fontWeight: 'bold'}));\n",
              "    li.append(span(\n",
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              "        `last modified: ${\n",
              "            file.lastModifiedDate ? file.lastModifiedDate.toLocaleDateString() :\n",
              "                                    'n/a'} - `));\n",
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              "        action: 'continue',\n",
              "      }\n",
              "    };\n",
              "\n",
              "    // Use a chunked sending to avoid message size limits. See b/62115660.\n",
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              "    do {\n",
              "      const length = Math.min(fileData.byteLength - position, MAX_PAYLOAD_SIZE);\n",
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              "\n",
              "scope.google = scope.google || {};\n",
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              "})(self);\n",
              "</script> "
            ]
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          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Saving input.json to input.json\n"
          ]
        },
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              "\n",
              "      const buffers = [];\n",
              "      let downloaded = 0;\n",
              "\n",
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              "      // Send a message to notify the kernel that we're ready.\n",
              "      channel.send({})\n",
              "\n",
              "      for await (const message of channel.messages) {\n",
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              "        channel.send({})\n",
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          "output_type": "display_data",
          "data": {
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              "<IPython.core.display.Javascript object>"
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            "application/javascript": [
              "download(\"download_ef8c8348-2e1b-4890-8c14-08d855f9e7cc\", \"output.json\", 1324)"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Transformation complete. Check output.json.\n"
          ]
        }
      ],
      "source": [
        "import json\n",
        "from google.colab import files\n",
        "\n",
        "def transform_input(input_data):\n",
        "    output_data = {\n",
        "        \"OPPONENTS\": input_data[\"OPPONENTS\"],\n",
        "        \"DATE\": input_data[\"DATE\"],\n",
        "        \"PLAYERS\": []\n",
        "    }\n",
        "\n",
        "    positions = [\"GK\", \"RB\", \"LB\", \"RH\", \"CH\", \"LH\", \"RW\", \"IR\", \"CF\", \"IL\", \"LW\"]\n",
        "\n",
        "    for position in positions:\n",
        "        player = {\n",
        "            \"POSITION\": position,\n",
        "            \"NAME\": input_data[position],\n",
        "            \"STARTING STATUS\": \"startingXi\"\n",
        "        }\n",
        "        output_data[\"PLAYERS\"].append(player)\n",
        "\n",
        "    # Handle SUB\n",
        "    for sub in input_data[\"SUB\"]:\n",
        "        if sub:\n",
        "            player = {\n",
        "                \"POSITION\": \"SUB\",\n",
        "                \"NAME\": sub,\n",
        "                \"STARTING STATUS\": \"bench\"\n",
        "            }\n",
        "            output_data[\"PLAYERS\"].append(player)\n",
        "\n",
        "    return output_data\n",
        "\n",
        "# Upload input JSON file\n",
        "uploaded = files.upload()\n",
        "\n",
        "# Assuming you upload a file named \"input.json\"\n",
        "input_filename = next(iter(uploaded))\n",
        "\n",
        "# Read input JSON file\n",
        "with open(input_filename, \"r\") as file:\n",
        "    input_data = json.load(file)\n",
        "\n",
        "# Transform data\n",
        "output_data = transform_input(input_data)\n",
        "\n",
        "# Write output JSON file\n",
        "output_filename = \"output.json\"\n",
        "with open(output_filename, \"w\") as file:\n",
        "    json.dump(output_data, file, indent=2)\n",
        "\n",
        "# Download output JSON file\n",
        "files.download(output_filename)\n",
        "\n",
        "print(f\"Transformation complete. Check {output_filename}.\")"
      ]
    }
  ]
}