{
  "cells": [
    {
      "cell_type": "markdown",
      "id": "1iXBOY1AHNoa",
      "metadata": {
        "id": "1iXBOY1AHNoa"
      },
      "source": [
        "# **Viet Fact Check Base Line Model**"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "pB3tvmy1HSxu",
      "metadata": {
        "id": "pB3tvmy1HSxu"
      },
      "source": [
        "## **Prepare enviroment**"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 2,
      "id": "dCH6KgJOfJYB",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 108
        },
        "id": "dCH6KgJOfJYB",
        "outputId": "1fd4f20e-b0bc-437a-fc26-8beb86818d06"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Chọn file .env để upload\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ],
            "text/html": [
              "\n",
              "     <input type=\"file\" id=\"files-0c10cb88-62af-4bdc-bb36-fdcbc9f564e0\" name=\"files[]\" multiple disabled\n",
              "        style=\"border:none\" />\n",
              "     <output id=\"result-0c10cb88-62af-4bdc-bb36-fdcbc9f564e0\">\n",
              "      Upload widget is only available when the cell has been executed in the\n",
              "      current browser session. Please rerun this cell to enable.\n",
              "      </output>\n",
              "      <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",
              " */\n",
              "(function(scope) {\n",
              "function span(text, styleAttributes = {}) {\n",
              "  const element = document.createElement('span');\n",
              "  element.textContent = text;\n",
              "  for (const key of Object.keys(styleAttributes)) {\n",
              "    element.style[key] = styleAttributes[key];\n",
              "  }\n",
              "  return element;\n",
              "}\n",
              "\n",
              "// Max number of bytes which will be uploaded at a time.\n",
              "const MAX_PAYLOAD_SIZE = 100 * 1024;\n",
              "\n",
              "function _uploadFiles(inputId, outputId) {\n",
              "  const steps = uploadFilesStep(inputId, outputId);\n",
              "  const outputElement = document.getElementById(outputId);\n",
              "  // Cache steps on the outputElement to make it available for the next call\n",
              "  // to uploadFilesContinue from Python.\n",
              "  outputElement.steps = steps;\n",
              "\n",
              "  return _uploadFilesContinue(outputId);\n",
              "}\n",
              "\n",
              "// 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",
              "function _uploadFilesContinue(outputId) {\n",
              "  const outputElement = document.getElementById(outputId);\n",
              "  const steps = outputElement.steps;\n",
              "\n",
              "  const next = steps.next(outputElement.lastPromiseValue);\n",
              "  return Promise.resolve(next.value.promise).then((value) => {\n",
              "    // Cache the last promise value to make it available to the next\n",
              "    // step of the generator.\n",
              "    outputElement.lastPromiseValue = value;\n",
              "    return next.value.response;\n",
              "  });\n",
              "}\n",
              "\n",
              "/**\n",
              " * Generator function which is called between each async step of the upload\n",
              " * process.\n",
              " * @param {string} inputId Element ID of the input file picker element.\n",
              " * @param {string} outputId Element ID of the output display.\n",
              " * @return {!Iterable<!Object>} Iterable of next steps.\n",
              " */\n",
              "function* uploadFilesStep(inputId, outputId) {\n",
              "  const inputElement = document.getElementById(inputId);\n",
              "  inputElement.disabled = false;\n",
              "\n",
              "  const outputElement = document.getElementById(outputId);\n",
              "  outputElement.innerHTML = '';\n",
              "\n",
              "  const pickedPromise = new Promise((resolve) => {\n",
              "    inputElement.addEventListener('change', (e) => {\n",
              "      resolve(e.target.files);\n",
              "    });\n",
              "  });\n",
              "\n",
              "  const cancel = document.createElement('button');\n",
              "  inputElement.parentElement.appendChild(cancel);\n",
              "  cancel.textContent = 'Cancel upload';\n",
              "  const cancelPromise = new Promise((resolve) => {\n",
              "    cancel.onclick = () => {\n",
              "      resolve(null);\n",
              "    };\n",
              "  });\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",
              "    const li = document.createElement('li');\n",
              "    li.append(span(file.name, {fontWeight: 'bold'}));\n",
              "    li.append(span(\n",
              "        `(${file.type || 'n/a'}) - ${file.size} bytes, ` +\n",
              "        `last modified: ${\n",
              "            file.lastModifiedDate ? file.lastModifiedDate.toLocaleDateString() :\n",
              "                                    'n/a'} - `));\n",
              "    const percent = span('0% done');\n",
              "    li.appendChild(percent);\n",
              "\n",
              "    outputElement.appendChild(li);\n",
              "\n",
              "    const fileDataPromise = new Promise((resolve) => {\n",
              "      const reader = new FileReader();\n",
              "      reader.onload = (e) => {\n",
              "        resolve(e.target.result);\n",
              "      };\n",
              "      reader.readAsArrayBuffer(file);\n",
              "    });\n",
              "    // Wait for the data to be ready.\n",
              "    let fileData = yield {\n",
              "      promise: fileDataPromise,\n",
              "      response: {\n",
              "        action: 'continue',\n",
              "      }\n",
              "    };\n",
              "\n",
              "    // Use a chunked sending to avoid message size limits. See b/62115660.\n",
              "    let position = 0;\n",
              "    do {\n",
              "      const length = Math.min(fileData.byteLength - position, MAX_PAYLOAD_SIZE);\n",
              "      const chunk = new Uint8Array(fileData, position, length);\n",
              "      position += length;\n",
              "\n",
              "      const base64 = btoa(String.fromCharCode.apply(null, chunk));\n",
              "      yield {\n",
              "        response: {\n",
              "          action: 'append',\n",
              "          file: file.name,\n",
              "          data: base64,\n",
              "        },\n",
              "      };\n",
              "\n",
              "      let percentDone = fileData.byteLength === 0 ?\n",
              "          100 :\n",
              "          Math.round((position / fileData.byteLength) * 100);\n",
              "      percent.textContent = `${percentDone}% done`;\n",
              "\n",
              "    } while (position < fileData.byteLength);\n",
              "  }\n",
              "\n",
              "  // All done.\n",
              "  yield {\n",
              "    response: {\n",
              "      action: 'complete',\n",
              "    }\n",
              "  };\n",
              "}\n",
              "\n",
              "scope.google = scope.google || {};\n",
              "scope.google.colab = scope.google.colab || {};\n",
              "scope.google.colab._files = {\n",
              "  _uploadFiles,\n",
              "  _uploadFilesContinue,\n",
              "};\n",
              "})(self);\n",
              "</script> "
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Saving .env to .env (1)\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "True"
            ]
          },
          "metadata": {},
          "execution_count": 2
        }
      ],
      "source": [
        "# Dùng để tải file env. và file requirements. txt chạy trên colab\n",
        "from google.colab import files\n",
        "from dotenv import load_dotenv\n",
        "\n",
        "print(\"Chọn file .env để upload\")\n",
        "uploaded = files.upload()  # chọn file .env từ máy\n",
        "load_dotenv(\".env\") # load biến môi trường từ file .env"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 3,
      "id": "k4ljzB-xIcUF",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 108
        },
        "id": "k4ljzB-xIcUF",
        "outputId": "99fdf1c2-2765-458b-ac29-058935052801"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Choose file requirements.txt to upload\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ],
            "text/html": [
              "\n",
              "     <input type=\"file\" id=\"files-05e180ec-da9c-4d70-a2b7-d6a3de61c60c\" name=\"files[]\" multiple disabled\n",
              "        style=\"border:none\" />\n",
              "     <output id=\"result-05e180ec-da9c-4d70-a2b7-d6a3de61c60c\">\n",
              "      Upload widget is only available when the cell has been executed in the\n",
              "      current browser session. Please rerun this cell to enable.\n",
              "      </output>\n",
              "      <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",
              " */\n",
              "(function(scope) {\n",
              "function span(text, styleAttributes = {}) {\n",
              "  const element = document.createElement('span');\n",
              "  element.textContent = text;\n",
              "  for (const key of Object.keys(styleAttributes)) {\n",
              "    element.style[key] = styleAttributes[key];\n",
              "  }\n",
              "  return element;\n",
              "}\n",
              "\n",
              "// Max number of bytes which will be uploaded at a time.\n",
              "const MAX_PAYLOAD_SIZE = 100 * 1024;\n",
              "\n",
              "function _uploadFiles(inputId, outputId) {\n",
              "  const steps = uploadFilesStep(inputId, outputId);\n",
              "  const outputElement = document.getElementById(outputId);\n",
              "  // Cache steps on the outputElement to make it available for the next call\n",
              "  // to uploadFilesContinue from Python.\n",
              "  outputElement.steps = steps;\n",
              "\n",
              "  return _uploadFilesContinue(outputId);\n",
              "}\n",
              "\n",
              "// 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",
              "function _uploadFilesContinue(outputId) {\n",
              "  const outputElement = document.getElementById(outputId);\n",
              "  const steps = outputElement.steps;\n",
              "\n",
              "  const next = steps.next(outputElement.lastPromiseValue);\n",
              "  return Promise.resolve(next.value.promise).then((value) => {\n",
              "    // Cache the last promise value to make it available to the next\n",
              "    // step of the generator.\n",
              "    outputElement.lastPromiseValue = value;\n",
              "    return next.value.response;\n",
              "  });\n",
              "}\n",
              "\n",
              "/**\n",
              " * Generator function which is called between each async step of the upload\n",
              " * process.\n",
              " * @param {string} inputId Element ID of the input file picker element.\n",
              " * @param {string} outputId Element ID of the output display.\n",
              " * @return {!Iterable<!Object>} Iterable of next steps.\n",
              " */\n",
              "function* uploadFilesStep(inputId, outputId) {\n",
              "  const inputElement = document.getElementById(inputId);\n",
              "  inputElement.disabled = false;\n",
              "\n",
              "  const outputElement = document.getElementById(outputId);\n",
              "  outputElement.innerHTML = '';\n",
              "\n",
              "  const pickedPromise = new Promise((resolve) => {\n",
              "    inputElement.addEventListener('change', (e) => {\n",
              "      resolve(e.target.files);\n",
              "    });\n",
              "  });\n",
              "\n",
              "  const cancel = document.createElement('button');\n",
              "  inputElement.parentElement.appendChild(cancel);\n",
              "  cancel.textContent = 'Cancel upload';\n",
              "  const cancelPromise = new Promise((resolve) => {\n",
              "    cancel.onclick = () => {\n",
              "      resolve(null);\n",
              "    };\n",
              "  });\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",
              "    const li = document.createElement('li');\n",
              "    li.append(span(file.name, {fontWeight: 'bold'}));\n",
              "    li.append(span(\n",
              "        `(${file.type || 'n/a'}) - ${file.size} bytes, ` +\n",
              "        `last modified: ${\n",
              "            file.lastModifiedDate ? file.lastModifiedDate.toLocaleDateString() :\n",
              "                                    'n/a'} - `));\n",
              "    const percent = span('0% done');\n",
              "    li.appendChild(percent);\n",
              "\n",
              "    outputElement.appendChild(li);\n",
              "\n",
              "    const fileDataPromise = new Promise((resolve) => {\n",
              "      const reader = new FileReader();\n",
              "      reader.onload = (e) => {\n",
              "        resolve(e.target.result);\n",
              "      };\n",
              "      reader.readAsArrayBuffer(file);\n",
              "    });\n",
              "    // Wait for the data to be ready.\n",
              "    let fileData = yield {\n",
              "      promise: fileDataPromise,\n",
              "      response: {\n",
              "        action: 'continue',\n",
              "      }\n",
              "    };\n",
              "\n",
              "    // Use a chunked sending to avoid message size limits. See b/62115660.\n",
              "    let position = 0;\n",
              "    do {\n",
              "      const length = Math.min(fileData.byteLength - position, MAX_PAYLOAD_SIZE);\n",
              "      const chunk = new Uint8Array(fileData, position, length);\n",
              "      position += length;\n",
              "\n",
              "      const base64 = btoa(String.fromCharCode.apply(null, chunk));\n",
              "      yield {\n",
              "        response: {\n",
              "          action: 'append',\n",
              "          file: file.name,\n",
              "          data: base64,\n",
              "        },\n",
              "      };\n",
              "\n",
              "      let percentDone = fileData.byteLength === 0 ?\n",
              "          100 :\n",
              "          Math.round((position / fileData.byteLength) * 100);\n",
              "      percent.textContent = `${percentDone}% done`;\n",
              "\n",
              "    } while (position < fileData.byteLength);\n",
              "  }\n",
              "\n",
              "  // All done.\n",
              "  yield {\n",
              "    response: {\n",
              "      action: 'complete',\n",
              "    }\n",
              "  };\n",
              "}\n",
              "\n",
              "scope.google = scope.google || {};\n",
              "scope.google.colab = scope.google.colab || {};\n",
              "scope.google.colab._files = {\n",
              "  _uploadFiles,\n",
              "  _uploadFilesContinue,\n",
              "};\n",
              "})(self);\n",
              "</script> "
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Saving requirements.txt to requirements (1).txt\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "True"
            ]
          },
          "metadata": {},
          "execution_count": 3
        }
      ],
      "source": [
        "print(\"Choose file requirements.txt to upload\")\n",
        "uploaded = files.upload()  # chọn file requirements.txt từ máy\n",
        "load_dotenv(\"requirements.txt\") # load danh sách thư viện từ file requirements.txt"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 4,
      "id": "jj26pnaLrCwf",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "jj26pnaLrCwf",
        "outputId": "b3eaa5cb-96eb-4080-cccd-3f71b0186d0c"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Requirement already satisfied: setuptools in /usr/local/lib/python3.12/dist-packages (from -r requirements.txt (line 1)) (80.9.0)\n",
            "Requirement already satisfied: wheel in /usr/local/lib/python3.12/dist-packages (from -r requirements.txt (line 2)) (0.45.1)\n",
            "Requirement already satisfied: azure-ai-inference in /usr/local/lib/python3.12/dist-packages (from -r requirements.txt (line 3)) (1.0.0b9)\n",
            "Requirement already satisfied: isodate>=0.6.1 in /usr/local/lib/python3.12/dist-packages (from azure-ai-inference->-r requirements.txt (line 3)) (0.7.2)\n",
            "Requirement already satisfied: azure-core>=1.30.0 in /usr/local/lib/python3.12/dist-packages (from azure-ai-inference->-r requirements.txt (line 3)) (1.36.0)\n",
            "Requirement already satisfied: typing-extensions>=4.6.0 in /usr/local/lib/python3.12/dist-packages (from azure-ai-inference->-r requirements.txt (line 3)) (4.15.0)\n",
            "Requirement already satisfied: requests>=2.21.0 in /usr/local/lib/python3.12/dist-packages (from azure-core>=1.30.0->azure-ai-inference->-r requirements.txt (line 3)) (2.32.4)\n",
            "Requirement already satisfied: charset_normalizer<4,>=2 in /usr/local/lib/python3.12/dist-packages (from requests>=2.21.0->azure-core>=1.30.0->azure-ai-inference->-r requirements.txt (line 3)) (3.4.4)\n",
            "Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.12/dist-packages (from requests>=2.21.0->azure-core>=1.30.0->azure-ai-inference->-r requirements.txt (line 3)) (3.11)\n",
            "Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.12/dist-packages (from requests>=2.21.0->azure-core>=1.30.0->azure-ai-inference->-r requirements.txt (line 3)) (2.5.0)\n",
            "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.12/dist-packages (from requests>=2.21.0->azure-core>=1.30.0->azure-ai-inference->-r requirements.txt (line 3)) (2025.10.5)\n"
          ]
        }
      ],
      "source": [
        "!pip install -r requirements.txt --upgrade"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 5,
      "id": "BZQ4J8xqdalK",
      "metadata": {
        "id": "BZQ4J8xqdalK"
      },
      "outputs": [],
      "source": [
        "import os\n",
        "from dotenv import load_dotenv\n",
        "from azure.ai.inference import ChatCompletionsClient\n",
        "from azure.core.credentials import AzureKeyCredential\n",
        "from azure.ai.inference.models import SystemMessage, UserMessage"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 6,
      "id": "jgisP0TTbAT5",
      "metadata": {
        "id": "jgisP0TTbAT5"
      },
      "outputs": [],
      "source": [
        "load_dotenv(\".env\") # load biến môi trường từ file .env\n",
        "endpoint = \"https://models.github.ai/inference\"\n",
        "model = \"openai/gpt-4o-mini\"\n",
        "token = os.environ[\"GITHUB_TOKEN\"]\n",
        "\n",
        "client = ChatCompletionsClient(\n",
        "    endpoint=endpoint,\n",
        "    credential=AzureKeyCredential(token),\n",
        ")"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "0f031bce",
      "metadata": {
        "id": "0f031bce"
      },
      "source": [
        "## **I. Input & Preprocessing**"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "c45527e8",
      "metadata": {
        "id": "c45527e8"
      },
      "source": [
        "- Input: Một đoạn văn bản ngắn tiếng Việt.\n",
        "- Output: Đoạn văn bản tiếng Việt đã được tiền xử lý đưa về tiếng Việt chuẩn phổ thông."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 7,
      "id": "4437641d",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "4437641d",
        "outputId": "4d0c0c12-a812-423e-cff3-13660daccb81"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Trời ơi, hôm nay nóng quá đi.  \n",
            "Tôi tin rằng biến đổi khí hậu đang làm thời tiết cực đoan hơn.  \n",
            "Bạn khỏe không?  \n",
            "Nhiệt độ toàn cầu đã tăng 1,1°C trong 100 năm qua.\n"
          ]
        }
      ],
      "source": [
        "import os\n",
        "from azure.ai.inference import ChatCompletionsClient\n",
        "from azure.ai.inference.models import SystemMessage, UserMessage\n",
        "from azure.core.credentials import AzureKeyCredential\n",
        "from dotenv import load_dotenv\n",
        "\n",
        "load_dotenv(\".env\") # load biến môi trường từ file .env\n",
        "\n",
        "SYSTEM_PROMPT = \"Ghi lại những gì người dùng nhập vào nhưng đúng chính tả và ngữ pháp. Đối với các từ viết tắt hãy ghi ra đầy đủ. Những từ lóng, teencode, từ tiếng Việt nhưng viết không dấu, ... hãy chuyển về ngôn ngữ phổ thông.\"\n",
        "\n",
        "INPUT_TEXT = \"\"\"Troi oi, hom nay nong qua di\n",
        "Tôi tin rằng biến đổi khí hậu đang làm thời tiết cực đoan hơn.\n",
        "Bn khỏe hông\n",
        "Nhiệt độ toàn cầu đã tăng 1.1°C trong 100 năm qua\"\"\"\n",
        "\n",
        "PROCESSED_TEXT = \"\"\n",
        "\n",
        "endpoint = \"https://models.github.ai/inference\"\n",
        "model = \"openai/gpt-4o-mini\"\n",
        "token = os.environ[\"GITHUB_TOKEN\"]\n",
        "\n",
        "client = ChatCompletionsClient(\n",
        "    endpoint=endpoint,\n",
        "    credential=AzureKeyCredential(token),\n",
        ")\n",
        "\n",
        "response = client.complete(\n",
        "    messages=[\n",
        "        SystemMessage(SYSTEM_PROMPT),\n",
        "        UserMessage(INPUT_TEXT),\n",
        "    ],\n",
        "    model=model\n",
        ")\n",
        "\n",
        "PROCESSED_TEXT=response.choices[0].message.content\n",
        "\n",
        "print(PROCESSED_TEXT)"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "ec115d59",
      "metadata": {
        "id": "ec115d59"
      },
      "source": [
        "- [Hướng dẫn sử dụng API của Github hỗ trợ](https://www.youtube.com/watch?v=YP8mV_2RDLc)\n",
        "- [Github Models Usage Guide](https://docs.github.com/en/github-models/use-github-models/prototyping-with-ai-models#rate-limits)"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "hOLiVBpZgKIy",
      "metadata": {
        "id": "hOLiVBpZgKIy"
      },
      "source": [
        "## **II. Claim Detection**"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "HFuuhRFWgTB2",
      "metadata": {
        "id": "HFuuhRFWgTB2"
      },
      "source": [
        "- Input: Đoạn văn bản tiếng Việt đã được tiền xử lý đưa về tiếng Việt chuẩn phổ thông.\n",
        "- Output: Đoạn văn bản chứa các claim (khẳng định, luận điểm, sự thật có thể kiểm chứng) đã lược bỏ phần dư thừa và không cần thiết."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 8,
      "id": "0jkUpzEPhFLT",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "0jkUpzEPhFLT",
        "outputId": "331cf2af-f424-42de-f445-af2f9cf996d6"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Biến đổi khí hậu đang làm thời tiết cực đoan hơn.  \n",
            "Nhiệt độ toàn cầu đã tăng 1,1°C trong 100 năm qua.\n"
          ]
        }
      ],
      "source": [
        "import os\n",
        "from azure.ai.inference import ChatCompletionsClient\n",
        "from azure.ai.inference.models import SystemMessage, UserMessage\n",
        "from azure.core.credentials import AzureKeyCredential\n",
        "\n",
        "SYSTEM_PROMPT = \"\"\"\n",
        "Bạn là mô-đun Claim Detection.\n",
        "\n",
        "Nhiệm vụ:\n",
        "- Giữ lại và trả về những câu có chứa claim: phát biểu khẳng định, luận điểm hoặc sự thật có thể kiểm chứng đúng/sai.\n",
        "- Bỏ đi các câu cảm thán, chào hỏi, xã giao hoặc câu không chứa claim.\n",
        "\n",
        "Yêu cầu chi tiết:\n",
        "- Một claim phải là một mệnh đề có thông tin khách quan, có thể kiểm chứng được (fact hoặc assertion).\n",
        "- Nếu câu có chứa từ ngữ như \"tôi tin rằng\", \"theo tôi nghĩ\", \"có lẽ\", hãy bỏ phần mở đầu đó và chỉ giữ lại nội dung khẳng định chính.\n",
        "- Kết quả cần giữ nguyên ngữ pháp, chính tả, tiếng Việt chuẩn.\"\"\"\n",
        "\n",
        "CLAIM_TEXT = \"\"\n",
        "\n",
        "endpoint = \"https://models.github.ai/inference\"\n",
        "model = \"openai/gpt-4o-mini\"\n",
        "token = os.environ[\"GITHUB_TOKEN\"]\n",
        "\n",
        "client = ChatCompletionsClient(\n",
        "    endpoint=endpoint,\n",
        "    credential=AzureKeyCredential(token),\n",
        ")\n",
        "\n",
        "response = client.complete(\n",
        "    messages=[\n",
        "        SystemMessage(SYSTEM_PROMPT),\n",
        "        UserMessage(PROCESSED_TEXT),\n",
        "    ],\n",
        "    model=model\n",
        ")\n",
        "\n",
        "CLAIM_TEXT = response.choices[0].message.content\n",
        "\n",
        "print(CLAIM_TEXT)"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "0f1cf172",
      "metadata": {
        "id": "0f1cf172"
      },
      "source": [
        "## **III. Document Retrieval**"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "6327787c",
      "metadata": {
        "id": "6327787c"
      },
      "source": [
        "- Input: Danh sách các claim (chuỗi văn bản tiếng Việt ngắn) được tạo ra từ Module 2 (sau khi đã tiền xử lý và tách các khẳng định có thể kiểm chứng).\n",
        "- Output: Tập hợp kết quả truy xuất tài liệu cho từng claim bao gồm tiêu đề, đường dẫn, và đoạn mô tả ngắn (snippet) của các bài viết từ Google Search."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 9,
      "id": "chEmUUxHSFj_",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "chEmUUxHSFj_",
        "outputId": "465bc83d-ca00-42cc-d9a4-5f09cf04e3f3"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
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            "Requirement already satisfied: brotli in /usr/local/lib/python3.12/dist-packages (from httpx[brotli,http2,socks]>=0.28.1->ddgs) (1.1.0)\n",
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            "Collecting socksio==1.* (from httpx[brotli,http2,socks]>=0.28.1->ddgs)\n",
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            "\u001b[?25hInstalling collected packages: socksio, primp, lxml, ddgs\n",
            "  Attempting uninstall: lxml\n",
            "    Found existing installation: lxml 5.4.0\n",
            "    Uninstalling lxml-5.4.0:\n",
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            "Successfully installed ddgs-9.6.1 lxml-6.0.2 primp-0.15.0 socksio-1.0.0\n"
          ]
        }
      ],
      "source": [
        "!pip install tldextract\n",
        "!pip install ddgs"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 10,
      "id": "18c52c1a",
      "metadata": {
        "colab": {
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          "height": 557,
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          "output_type": "stream",
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          "text": [
            "/usr/local/lib/python3.12/dist-packages/huggingface_hub/utils/_auth.py:94: UserWarning: \n",
            "The secret `HF_TOKEN` does not exist in your Colab secrets.\n",
            "To authenticate with the Hugging Face Hub, create a token in your settings tab (https://huggingface.co/settings/tokens), set it as secret in your Google Colab and restart your session.\n",
            "You will be able to reuse this secret in all of your notebooks.\n",
            "Please note that authentication is recommended but still optional to access public models or datasets.\n",
            "  warnings.warn(\n"
          ]
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      "source": [
        "import os\n",
        "import json\n",
        "import re\n",
        "import time\n",
        "from dotenv import load_dotenv\n",
        "from tqdm import tqdm\n",
        "from concurrent.futures import ThreadPoolExecutor, as_completed\n",
        "import tldextract\n",
        "from sentence_transformers import SentenceTransformer, util\n",
        "from ddgs import DDGS\n",
        "\n",
        "from azure.ai.inference import ChatCompletionsClient\n",
        "from azure.ai.inference.models import SystemMessage, UserMessage\n",
        "from azure.core.credentials import AzureKeyCredential\n",
        "\n",
        "load_dotenv()\n",
        "embedder = SentenceTransformer(\"keepitreal/vietnamese-sbert\")\n",
        "GITHUB_TOKEN = os.getenv(\"GITHUB_TOKEN\")\n",
        "\n",
        "MODEL = \"openai/gpt-4o-mini\"\n",
        "client = ChatCompletionsClient(\n",
        "    endpoint=\"https://models.github.ai/inference\",\n",
        "    credential=AzureKeyCredential(GITHUB_TOKEN),\n",
        ")\n",
        "\n",
        "TRUSTED_DOMAINS = [\n",
        "    # Việt Nam\n",
        "    \"vnexpress.net\", \"tuoitre.vn\", \"thanhnien.vn\", \"nhandan.vn\",\n",
        "    \"moh.gov.vn\", \"suckhoedoisong.vn\", \"zingnews.vn\",\n",
        "    \"vietnamnet.vn\", \"baochinhphu.vn\", \"cafef.vn\", \"monre.gov.vn\",\n",
        "\n",
        "    # Quốc tế\n",
        "    \"bbc.com\", \"reuters.com\", \"apnews.com\", \"theguardian.com\",\n",
        "    \"cnn.com\", \"nytimes.com\", \"who.int\", \"un.org\",\n",
        "    \"worldbank.org\", \"nature.com\", \"sciencedirect.com\"\n",
        "]\n",
        "\n",
        "BAD_DOMAINS = [\n",
        "    # Blog cá nhân & nền tảng tạo blog miễn phí\n",
        "    \"blogspot\", \"wordpress\", \"weebly\", \"wixsite\", \"jimdo\", \"tumblr\",\n",
        "\n",
        "    # Mạng xã hội & chia sẻ video\n",
        "    \"facebook\", \"twitter\", \"tiktok\", \"instagram\", \"youtube\", \"reddit\", \"pinterest\",\n",
        "\n",
        "    # Diễn đàn, hỏi đáp, chia sẻ linh tinh\n",
        "    \"voz.vn\", \"quora\", \"reddit\", \"kenh14\", \"webtretho\", \"otofun\", \"tinhte.vn\",\n",
        "\n",
        "    # Trang từ điển / wiki không chính thống\n",
        "    \"tudientiengviet\", \"wiktionary\", \"vi.wiktionary\", \"tratu.soha.vn\", \"vdict\",\n",
        "\n",
        "    # Trang học sinh – chia sẻ bài làm / học liệu chưa kiểm chứng\n",
        "    \"hocmai\", \"loigiaihay\", \"olm.vn\", \"giaibaitap\", \"baitap123\", \"hoc24\",\n",
        "\n",
        "    # Nguồn tin rác / spam nội dung tổng hợp\n",
        "    \"eva.vn\", \"2sao.vn\", \"afamily.vn\", \"tiin.vn\", \"yeah1\", \"bestie.vn\", \"blogtamsu\",\n",
        "]\n",
        "\n",
        "# 1. Sinh truy vấn mở rộng (tự động hoặc thủ công)\n",
        "def expand_query(claim: str) -> list[str]:\n",
        "    \"\"\"Sinh các biến thể tìm kiếm từ claim.\"\"\"\n",
        "    prompt = f\"\"\"\n",
        "    Sinh ra 3-5 phiên bản khác nhau của câu truy vấn sau để tìm kiếm web.\n",
        "    - Viết lại tự nhiên, cùng nghĩa.\n",
        "    - Không thêm ý mới.\n",
        "    - Giữ ngắn gọn, phù hợp tìm kiếm.\n",
        "\n",
        "    Truy vấn gốc: \"{claim}\"\n",
        "\n",
        "    Trả về JSON array duy nhất như:\n",
        "    [\"biến thể 1\", \"biến thể 2\", \"biến thể 3\", ...]\n",
        "    \"\"\"\n",
        "\n",
        "    response = client.complete(\n",
        "        messages=[\n",
        "            SystemMessage(\"Bạn chỉ trả về JSON array, KHÔNG có giải thích.\"),\n",
        "            UserMessage(prompt)\n",
        "        ],\n",
        "        model=MODEL,\n",
        "        temperature=0.7\n",
        "    )\n",
        "\n",
        "    content = response.choices[0].message.content.strip()\n",
        "\n",
        "    try:\n",
        "        expanded = json.loads(content)\n",
        "        if not isinstance(expanded, list):\n",
        "            raise ValueError\n",
        "    except Exception:\n",
        "        m = re.search(r'\\[.*\\]', content, re.S)\n",
        "        expanded = json.loads(m.group(0)) if m else [claim]\n",
        "\n",
        "    expanded += [\n",
        "        claim,\n",
        "        f\"{claim} site:vnexpress.net OR site:tuoitre.vn OR site:thanhnien.vn \"\n",
        "        f\"OR site:nhandan.vn OR site:moh.gov.vn OR site:suckhoedoisong.vn\"\n",
        "    ]\n",
        "    return list(dict.fromkeys(expanded))\n",
        "\n",
        "# 2. DuckDuckGo Search\n",
        "def duckduckgo_search(query: str, num_results: int = 5) -> list[dict]:\n",
        "    results = []\n",
        "    try:\n",
        "        with DDGS() as ddgs:\n",
        "            for r in ddgs.text(query, max_results=num_results):\n",
        "                results.append({\n",
        "                    \"title\": r.get(\"title\", \"\"),\n",
        "                    \"link\": r.get(\"href\", \"\"),\n",
        "                    \"snippet\": r.get(\"body\", \"\")\n",
        "                })\n",
        "    except Exception as e:\n",
        "        print(f\"[DuckDuckGo error] {query[:40]}...: {e}\")\n",
        "    return results[:num_results]\n",
        "\n",
        "# 3. Tính độ tin cậy (Trust Score)\n",
        "def compute_trust_score(claim: str, source: dict) -> float:\n",
        "    \"\"\"Tính điểm tin cậy (trust_score) cho nguồn tin dựa trên:\n",
        "    - sim: độ tương đồng ngữ nghĩa giữa claim và snippet (0–1)\n",
        "    - overlap: tỉ lệ trùng lặp từ khóa giữa claim và snippet\n",
        "    - domain_bonus: cộng điểm nếu domain uy tín (+0.25)\n",
        "    - penalty: trừ điểm nếu domain kém tin cậy (-0.3)\n",
        "    - lang_bonus: cộng nếu snippet là tiếng Việt (+0.1), trừ nếu không (-0.1)\n",
        "    => trust_score = 0.5*sim + 0.2*overlap + domain_bonus + lang_bonus - penalty\n",
        "    (giới hạn trong [0,1])\n",
        "    \"\"\"\n",
        "    link = source.get(\"link\", \"\")\n",
        "    snippet = source.get(\"snippet\", \"\")\n",
        "    domain = tldextract.extract(link).top_domain_under_public_suffix\n",
        "\n",
        "    # Semantic similarity\n",
        "    try:\n",
        "        emb_claim = embedder.encode(claim, convert_to_tensor=True)\n",
        "        emb_snip = embedder.encode(snippet, convert_to_tensor=True)\n",
        "        sim = util.cos_sim(emb_claim, emb_snip).item()\n",
        "    except Exception:\n",
        "        sim = 0.0\n",
        "\n",
        "    # Keyword overlap\n",
        "    claim_words = set(re.findall(r'\\w+', claim.lower()))\n",
        "    snip_words = set(re.findall(r'\\w+', snippet.lower()))\n",
        "    overlap = len(claim_words & snip_words) / len(claim_words) if claim_words else 0\n",
        "\n",
        "    # Domain-based reward / penalty\n",
        "    domain_bonus = 0\n",
        "    penalty = 0\n",
        "\n",
        "    if any(d in domain for d in TRUSTED_DOMAINS):\n",
        "        domain_bonus += 0.25\n",
        "    elif any(d in domain for d in BAD_DOMAINS):\n",
        "        penalty += 0.3\n",
        "\n",
        "    # Language bonus (phát hiện tiếng Việt)\n",
        "    vietnamese_chars = re.findall(r'[àáạảãâầấậẩẫăằắặẳẵèéẹẻẽêềếệểễìíịỉĩòóọỏõôồốộổỗơờớợởỡùúụủũưừứựửữỳýỵỷỹđ]', snippet)\n",
        "    lang_bonus = 0.1 if len(vietnamese_chars) > 5 else -0.1  # trừ nếu snippet không phải tiếng Việt\n",
        "\n",
        "    # Tổng hợp (chuẩn hóa 0–1)\n",
        "    trust_score = 0.5 * sim + 0.2 * overlap + domain_bonus + lang_bonus - penalty\n",
        "    trust_score = max(0, min(trust_score, 1))  # giới hạn [0,1]\n",
        "    return round(trust_score, 3)\n",
        "\n",
        "# 4. Pipeline cho 1 claim\n",
        "def process_claim(claim: str) -> list[dict]:\n",
        "    queries = expand_query(claim)\n",
        "    print(f\"\\n=== Claim: {claim}\")\n",
        "    print(f\"Sinh {len(queries)} truy vấn mở rộng.\\n\")\n",
        "\n",
        "    results = []\n",
        "    with ThreadPoolExecutor(max_workers=4) as executor:\n",
        "        futures = {executor.submit(duckduckgo_search, q): q for q in queries}\n",
        "        for f in tqdm(as_completed(futures), total=len(futures), desc=f\"Tìm kiếm '{claim[:40]}...'\"):\n",
        "            results.extend(f.result())\n",
        "            time.sleep(0.1)\n",
        "\n",
        "    # Lọc trùng link và loại bỏ link không hợp lệ\n",
        "    filtered = []\n",
        "    seen = set()\n",
        "    for r in results:\n",
        "        link = r.get(\"link\")\n",
        "        if not link or not link.startswith(\"http\"):\n",
        "            continue\n",
        "        if link in seen:\n",
        "            continue\n",
        "        seen.add(link)\n",
        "\n",
        "        domain = tldextract.extract(link).top_domain_under_public_suffix\n",
        "\n",
        "        if not domain:  # bỏ link rác\n",
        "            continue\n",
        "\n",
        "        filtered.append(r)\n",
        "\n",
        "    # Tính trust score\n",
        "    for src in filtered:\n",
        "        src[\"trust_score\"] = compute_trust_score(claim, src)\n",
        "\n",
        "    sorted_sources = sorted(filtered, key=lambda x: x[\"trust_score\"], reverse=True)\n",
        "    return sorted_sources[:5]\n",
        "\n",
        "# 5. Chạy toàn bộ pipeline\n",
        "def run_pipeline(claims: list[str]):\n",
        "    all_results = []\n",
        "    for claim in claims:\n",
        "        claim = claim.strip()\n",
        "        if not claim:\n",
        "            continue\n",
        "        sources = process_claim(claim)\n",
        "        all_results.append({\n",
        "            \"claim\": claim,\n",
        "            \"sources\": sources\n",
        "        })\n",
        "\n",
        "    output_file = \"document_retrieval_results_duckduckgo_v2.json\"\n",
        "    with open(output_file, \"w\", encoding=\"utf-8\") as f:\n",
        "        json.dump(all_results, f, ensure_ascii=False, indent=2)\n",
        "    print(f\"\\nHoàn tất! Kết quả được lưu tại: {output_file}\")"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 11,
      "id": "771734e4",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 364
        },
        "id": "771734e4",
        "outputId": "d511bacb-bbb3-44fa-f04b-1b27f380ca60"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "=== Claim: Biến đổi khí hậu đang làm thời tiết cực đoan hơn.\n",
            "Sinh 7 truy vấn mở rộng.\n",
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\n",
            "Tìm kiếm 'Biến đổi khí hậu đang làm thời tiết cực ...':   0%|          | 0/7 [00:00<?, ?it/s]\u001b[A\n",
            "Tìm kiếm 'Biến đổi khí hậu đang làm thời tiết cực ...':  14%|█▍        | 1/7 [00:00<00:04,  1.49it/s]\u001b[A\n",
            "Tìm kiếm 'Biến đổi khí hậu đang làm thời tiết cực ...':  29%|██▊       | 2/7 [00:01<00:02,  1.96it/s]\u001b[A\n",
            "Tìm kiếm 'Biến đổi khí hậu đang làm thời tiết cực ...':  43%|████▎     | 3/7 [00:01<00:01,  2.12it/s]\u001b[A\n",
            "Tìm kiếm 'Biến đổi khí hậu đang làm thời tiết cực ...':  57%|█████▋    | 4/7 [00:01<00:01,  2.46it/s]\u001b[A\n",
            "Tìm kiếm 'Biến đổi khí hậu đang làm thời tiết cực ...':  71%|███████▏  | 5/7 [00:02<00:01,  1.84it/s]\u001b[A\n",
            "Tìm kiếm 'Biến đổi khí hậu đang làm thời tiết cực ...':  86%|████████▌ | 6/7 [00:02<00:00,  2.50it/s]\u001b[A\n",
            "Tìm kiếm 'Biến đổi khí hậu đang làm thời tiết cực ...': 100%|██████████| 7/7 [00:03<00:00,  2.02it/s]\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "=== Claim: Nhiệt độ toàn cầu đã tăng 1,1°C trong 100 năm qua.\n",
            "Sinh 6 truy vấn mở rộng.\n",
            "\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "Tìm kiếm 'Nhiệt độ toàn cầu đã tăng 1,1°C trong 10...': 100%|██████████| 6/6 [00:03<00:00,  2.00it/s]\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "Hoàn tất! Kết quả được lưu tại: document_retrieval_results_duckduckgo_v2.json\n"
          ]
        }
      ],
      "source": [
        "claims = [c.strip() for c in CLAIM_TEXT.split(\"\\n\") if c.strip()]\n",
        "run_pipeline(claims)"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "vBPv5pmkHG9P",
      "metadata": {
        "id": "vBPv5pmkHG9P"
      },
      "source": [
        "## **IV. Evidence Selection**"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 12,
      "id": "IAxlvGzQULAZ",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "IAxlvGzQULAZ",
        "outputId": "7969dbdb-4315-4902-87ba-550bd669a1cc"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
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            "Chromium Headless Shell 140.0.7339.16 (playwright build v1187) downloaded to /root/.cache/ms-playwright/chromium_headless_shell-1187\n",
            "Downloading Firefox 141.0 (playwright build v1490)\u001b[2m from https://cdn.playwright.dev/dbazure/download/playwright/builds/firefox/1490/firefox-ubuntu-22.04.zip\u001b[22m\n",
            "\u001b[1G96 MiB [] 0% 0.0s\u001b[0K\u001b[1G96 MiB [] 0% 5.3s\u001b[0K\u001b[1G96 MiB [] 1% 2.5s\u001b[0K\u001b[1G96 MiB [] 2% 1.9s\u001b[0K\u001b[1G96 MiB [] 3% 1.7s\u001b[0K\u001b[1G96 MiB [] 5% 1.5s\u001b[0K\u001b[1G96 MiB [] 6% 1.4s\u001b[0K\u001b[1G96 MiB [] 8% 1.3s\u001b[0K\u001b[1G96 MiB [] 9% 1.2s\u001b[0K\u001b[1G96 MiB [] 10% 1.4s\u001b[0K\u001b[1G96 MiB [] 11% 1.3s\u001b[0K\u001b[1G96 MiB [] 12% 1.3s\u001b[0K\u001b[1G96 MiB [] 13% 1.4s\u001b[0K\u001b[1G96 MiB [] 14% 1.4s\u001b[0K\u001b[1G96 MiB [] 16% 1.3s\u001b[0K\u001b[1G96 MiB [] 17% 1.3s\u001b[0K\u001b[1G96 MiB [] 19% 1.2s\u001b[0K\u001b[1G96 MiB [] 21% 1.2s\u001b[0K\u001b[1G96 MiB [] 22% 1.2s\u001b[0K\u001b[1G96 MiB [] 23% 1.2s\u001b[0K\u001b[1G96 MiB [] 24% 1.1s\u001b[0K\u001b[1G96 MiB [] 26% 1.1s\u001b[0K\u001b[1G96 MiB [] 27% 1.1s\u001b[0K\u001b[1G96 MiB [] 29% 1.0s\u001b[0K\u001b[1G96 MiB [] 31% 1.0s\u001b[0K\u001b[1G96 MiB [] 33% 0.9s\u001b[0K\u001b[1G96 MiB [] 35% 0.8s\u001b[0K\u001b[1G96 MiB [] 37% 0.8s\u001b[0K\u001b[1G96 MiB [] 38% 0.8s\u001b[0K\u001b[1G96 MiB [] 40% 0.8s\u001b[0K\u001b[1G96 MiB [] 42% 0.7s\u001b[0K\u001b[1G96 MiB [] 44% 0.7s\u001b[0K\u001b[1G96 MiB [] 45% 0.7s\u001b[0K\u001b[1G96 MiB [] 46% 0.7s\u001b[0K\u001b[1G96 MiB [] 47% 0.7s\u001b[0K\u001b[1G96 MiB [] 49% 0.7s\u001b[0K\u001b[1G96 MiB [] 51% 0.6s\u001b[0K\u001b[1G96 MiB [] 53% 0.6s\u001b[0K\u001b[1G96 MiB [] 55% 0.6s\u001b[0K\u001b[1G96 MiB [] 56% 0.5s\u001b[0K\u001b[1G96 MiB [] 59% 0.5s\u001b[0K\u001b[1G96 MiB [] 61% 0.5s\u001b[0K\u001b[1G96 MiB [] 64% 0.4s\u001b[0K\u001b[1G96 MiB [] 66% 0.4s\u001b[0K\u001b[1G96 MiB [] 69% 0.3s\u001b[0K\u001b[1G96 MiB [] 71% 0.3s\u001b[0K\u001b[1G96 MiB [] 74% 0.3s\u001b[0K\u001b[1G96 MiB [] 75% 0.3s\u001b[0K\u001b[1G96 MiB [] 77% 0.2s\u001b[0K\u001b[1G96 MiB [] 80% 0.2s\u001b[0K\u001b[1G96 MiB [] 82% 0.2s\u001b[0K\u001b[1G96 MiB [] 84% 0.2s\u001b[0K\u001b[1G96 MiB [] 86% 0.1s\u001b[0K\u001b[1G96 MiB [] 88% 0.1s\u001b[0K\u001b[1G96 MiB [] 91% 0.1s\u001b[0K\u001b[1G96 MiB [] 93% 0.1s\u001b[0K\u001b[1G96 MiB [] 95% 0.1s\u001b[0K\u001b[1G96 MiB [] 96% 0.0s\u001b[0K\u001b[1G96 MiB [] 99% 0.0s\u001b[0K\u001b[1G96 MiB [] 100% 0.0s\u001b[0K\n",
            "Firefox 141.0 (playwright build v1490) downloaded to /root/.cache/ms-playwright/firefox-1490\n",
            "Downloading Webkit 26.0 (playwright build v2203)\u001b[2m from https://cdn.playwright.dev/dbazure/download/playwright/builds/webkit/2203/webkit-ubuntu-22.04.zip\u001b[22m\n",
            "\u001b[1G94.6 MiB [] 0% 0.0s\u001b[0K\u001b[1G94.6 MiB [] 0% 3.5s\u001b[0K\u001b[1G94.6 MiB [] 2% 1.5s\u001b[0K\u001b[1G94.6 MiB [] 3% 1.3s\u001b[0K\u001b[1G94.6 MiB [] 5% 1.1s\u001b[0K\u001b[1G94.6 MiB [] 7% 1.0s\u001b[0K\u001b[1G94.6 MiB [] 9% 1.0s\u001b[0K\u001b[1G94.6 MiB [] 10% 1.0s\u001b[0K\u001b[1G94.6 MiB [] 11% 1.0s\u001b[0K\u001b[1G94.6 MiB [] 12% 1.0s\u001b[0K\u001b[1G94.6 MiB [] 13% 1.0s\u001b[0K\u001b[1G94.6 MiB [] 15% 1.0s\u001b[0K\u001b[1G94.6 MiB [] 17% 1.0s\u001b[0K\u001b[1G94.6 MiB [] 18% 1.0s\u001b[0K\u001b[1G94.6 MiB [] 20% 0.9s\u001b[0K\u001b[1G94.6 MiB [] 22% 0.8s\u001b[0K\u001b[1G94.6 MiB [] 23% 0.9s\u001b[0K\u001b[1G94.6 MiB [] 24% 0.9s\u001b[0K\u001b[1G94.6 MiB [] 25% 0.9s\u001b[0K\u001b[1G94.6 MiB [] 27% 0.8s\u001b[0K\u001b[1G94.6 MiB [] 29% 0.8s\u001b[0K\u001b[1G94.6 MiB [] 30% 0.8s\u001b[0K\u001b[1G94.6 MiB [] 32% 0.8s\u001b[0K\u001b[1G94.6 MiB [] 34% 0.7s\u001b[0K\u001b[1G94.6 MiB [] 35% 0.7s\u001b[0K\u001b[1G94.6 MiB [] 37% 0.7s\u001b[0K\u001b[1G94.6 MiB [] 38% 0.7s\u001b[0K\u001b[1G94.6 MiB [] 39% 0.7s\u001b[0K\u001b[1G94.6 MiB [] 41% 0.6s\u001b[0K\u001b[1G94.6 MiB [] 43% 0.6s\u001b[0K\u001b[1G94.6 MiB [] 45% 0.6s\u001b[0K\u001b[1G94.6 MiB [] 47% 0.6s\u001b[0K\u001b[1G94.6 MiB [] 48% 0.6s\u001b[0K\u001b[1G94.6 MiB [] 49% 0.6s\u001b[0K\u001b[1G94.6 MiB [] 51% 0.5s\u001b[0K\u001b[1G94.6 MiB [] 52% 0.5s\u001b[0K\u001b[1G94.6 MiB [] 54% 0.5s\u001b[0K\u001b[1G94.6 MiB [] 56% 0.5s\u001b[0K\u001b[1G94.6 MiB [] 58% 0.5s\u001b[0K\u001b[1G94.6 MiB [] 60% 0.4s\u001b[0K\u001b[1G94.6 MiB [] 61% 0.4s\u001b[0K\u001b[1G94.6 MiB [] 63% 0.4s\u001b[0K\u001b[1G94.6 MiB [] 64% 0.4s\u001b[0K\u001b[1G94.6 MiB [] 66% 0.4s\u001b[0K\u001b[1G94.6 MiB [] 67% 0.4s\u001b[0K\u001b[1G94.6 MiB [] 68% 0.3s\u001b[0K\u001b[1G94.6 MiB [] 70% 0.3s\u001b[0K\u001b[1G94.6 MiB [] 72% 0.3s\u001b[0K\u001b[1G94.6 MiB [] 74% 0.3s\u001b[0K\u001b[1G94.6 MiB [] 76% 0.3s\u001b[0K\u001b[1G94.6 MiB [] 78% 0.2s\u001b[0K\u001b[1G94.6 MiB [] 80% 0.2s\u001b[0K\u001b[1G94.6 MiB [] 80% 0.3s\u001b[0K\u001b[1G94.6 MiB [] 81% 0.3s\u001b[0K\u001b[1G94.6 MiB [] 82% 0.3s\u001b[0K\u001b[1G94.6 MiB [] 84% 0.3s\u001b[0K\u001b[1G94.6 MiB [] 85% 0.3s\u001b[0K\u001b[1G94.6 MiB [] 87% 0.2s\u001b[0K\u001b[1G94.6 MiB [] 90% 0.2s\u001b[0K\u001b[1G94.6 MiB [] 93% 0.1s\u001b[0K\u001b[1G94.6 MiB [] 96% 0.1s\u001b[0K\u001b[1G94.6 MiB [] 100% 0.0s\u001b[0K\n",
            "Webkit 26.0 (playwright build v2203) downloaded to /root/.cache/ms-playwright/webkit-2203\n",
            "Downloading FFMPEG playwright build v1011\u001b[2m from https://cdn.playwright.dev/dbazure/download/playwright/builds/ffmpeg/1011/ffmpeg-linux.zip\u001b[22m\n",
            "\u001b[1G2.3 MiB [] 0% 0.0s\u001b[0K\u001b[1G2.3 MiB [] 15% 0.1s\u001b[0K\u001b[1G2.3 MiB [] 94% 0.0s\u001b[0K\u001b[1G2.3 MiB [] 100% 0.0s\u001b[0K\n",
            "FFMPEG playwright build v1011 downloaded to /root/.cache/ms-playwright/ffmpeg-1011\n",
            "Playwright Host validation warning: \n",
            "╔══════════════════════════════════════════════════════╗\n",
            "║ Host system is missing dependencies to run browsers. ║\n",
            "║ Missing libraries:                                   ║\n",
            "║     libwoff2dec.so.1.0.2                             ║\n",
            "║     libgstgl-1.0.so.0                                ║\n",
            "║     libgstcodecparsers-1.0.so.0                      ║\n",
            "║     libavif.so.13                                    ║\n",
            "║     libharfbuzz-icu.so.0                             ║\n",
            "║     libenchant-2.so.2                                ║\n",
            "║     libsecret-1.so.0                                 ║\n",
            "║     libhyphen.so.0                                   ║\n",
            "║     libmanette-0.2.so.0                              ║\n",
            "╚══════════════════════════════════════════════════════╝\n",
            "    at validateDependenciesLinux (/usr/local/lib/python3.12/dist-packages/playwright/driver/package/lib/server/registry/dependencies.js:269:9)\n",
            "\u001b[90m    at process.processTicksAndRejections (node:internal/process/task_queues:105:5)\u001b[39m\n",
            "    at async Registry._validateHostRequirements (/usr/local/lib/python3.12/dist-packages/playwright/driver/package/lib/server/registry/index.js:934:14)\n",
            "    at async Registry._validateHostRequirementsForExecutableIfNeeded (/usr/local/lib/python3.12/dist-packages/playwright/driver/package/lib/server/registry/index.js:1056:7)\n",
            "    at async Registry.validateHostRequirementsForExecutablesIfNeeded (/usr/local/lib/python3.12/dist-packages/playwright/driver/package/lib/server/registry/index.js:1045:7)\n",
            "    at async i.<anonymous> (/usr/local/lib/python3.12/dist-packages/playwright/driver/package/lib/cli/program.js:217:7)\n",
            "Installing dependencies...\n",
            "Hit:1 https://cli.github.com/packages stable InRelease\n",
            "Get:2 https://cloud.r-project.org/bin/linux/ubuntu jammy-cran40/ InRelease [3,632 B]\n",
            "Hit:3 https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/x86_64  InRelease\n",
            "Hit:4 http://archive.ubuntu.com/ubuntu jammy InRelease\n",
            "Get:5 http://security.ubuntu.com/ubuntu jammy-security InRelease [129 kB]\n",
            "Get:6 http://archive.ubuntu.com/ubuntu jammy-updates InRelease [128 kB]\n",
            "Get:7 https://r2u.stat.illinois.edu/ubuntu jammy InRelease [6,555 B]\n",
            "Get:8 http://archive.ubuntu.com/ubuntu jammy-backports InRelease [127 kB]\n",
            "Get:9 https://r2u.stat.illinois.edu/ubuntu jammy/main amd64 Packages [2,816 kB]\n",
            "Hit:10 https://ppa.launchpadcontent.net/deadsnakes/ppa/ubuntu jammy InRelease\n",
            "Get:11 http://archive.ubuntu.com/ubuntu jammy-updates/universe amd64 Packages [1,594 kB]\n",
            "Get:12 http://security.ubuntu.com/ubuntu jammy-security/universe amd64 Packages [1,288 kB]\n",
            "Hit:13 https://ppa.launchpadcontent.net/graphics-drivers/ppa/ubuntu jammy InRelease\n",
            "Hit:14 https://ppa.launchpadcontent.net/ubuntugis/ppa/ubuntu jammy InRelease\n",
            "Get:15 http://archive.ubuntu.com/ubuntu jammy-updates/main amd64 Packages [3,799 kB]\n",
            "Get:16 http://security.ubuntu.com/ubuntu jammy-security/restricted amd64 Packages [5,865 kB]\n",
            "Get:17 https://r2u.stat.illinois.edu/ubuntu jammy/main all Packages [9,389 kB]\n",
            "Get:18 http://security.ubuntu.com/ubuntu jammy-security/main amd64 Packages [3,473 kB]\n",
            "Fetched 28.6 MB in 4s (8,049 kB/s)\n",
            "Reading package lists... Done\n",
            "W: Skipping acquire of configured file 'main/source/Sources' as repository 'https://r2u.stat.illinois.edu/ubuntu jammy InRelease' does not seem to provide it (sources.list entry misspelt?)\n",
            "Reading package lists... Done\n",
            "Building dependency tree... Done\n",
            "Reading state information... Done\n",
            "fonts-liberation is already the newest version (1:1.07.4-11).\n",
            "libasound2 is already the newest version (1.2.6.1-1ubuntu1).\n",
            "libasound2 set to manually installed.\n",
            "libatk-bridge2.0-0 is already the newest version (2.38.0-3).\n",
            "libatk-bridge2.0-0 set to manually installed.\n",
            "libatk1.0-0 is already the newest version (2.36.0-3build1).\n",
            "libatk1.0-0 set to manually installed.\n",
            "libatspi2.0-0 is already the newest version (2.44.0-3).\n",
            "libatspi2.0-0 set to manually installed.\n",
            "libcairo-gobject2 is already the newest version (1.16.0-5ubuntu2).\n",
            "libcairo-gobject2 set to manually installed.\n",
            "libcairo2 is already the newest version (1.16.0-5ubuntu2).\n",
            "libcairo2 set to manually installed.\n",
            "libegl1 is already the newest version (1.4.0-1).\n",
            "libepoxy0 is already the newest version (1.5.10-1).\n",
            "libepoxy0 set to manually installed.\n",
            "libevent-2.1-7 is already the newest version (2.1.12-stable-1build3).\n",
            "libevent-2.1-7 set to manually installed.\n",
            "libfontconfig1 is already the newest version (2.13.1-4.2ubuntu5).\n",
            "libgles2 is already the newest version (1.4.0-1).\n",
            "libglx0 is already the newest version (1.4.0-1).\n",
            "libglx0 set to manually installed.\n",
            "libicu70 is already the newest version (70.1-2).\n",
            "libicu70 set to manually installed.\n",
            "libjpeg-turbo8 is already the newest version (2.1.2-0ubuntu1).\n",
            "libjpeg-turbo8 set to manually installed.\n",
            "liblcms2-2 is already the newest version (2.12~rc1-2build2).\n",
            "liblcms2-2 set to manually installed.\n",
            "libopengl0 is already the newest version (1.4.0-1).\n",
            "libopus0 is already the newest version (1.3.1-0.1build2).\n",
            "libopus0 set to manually installed.\n",
            "libpng16-16 is already the newest version (1.6.37-3build5).\n",
            "libpng16-16 set to manually installed.\n",
            "libxcb-shm0 is already the newest version (1.14-3ubuntu3).\n",
            "libxcb-shm0 set to manually installed.\n",
            "libxcb1 is already the newest version (1.14-3ubuntu3).\n",
            "libxcb1 set to manually installed.\n",
            "libxcomposite1 is already the newest version (1:0.4.5-1build2).\n",
            "libxcomposite1 set to manually installed.\n",
            "libxcursor1 is already the newest version (1:1.2.0-2build4).\n",
            "libxcursor1 set to manually installed.\n",
            "libxdamage1 is already the newest version (1:1.1.5-2build2).\n",
            "libxdamage1 set to manually installed.\n",
            "libxext6 is already the newest version (2:1.3.4-1build1).\n",
            "libxfixes3 is already the newest version (1:6.0.0-1).\n",
            "libxfixes3 set to manually installed.\n",
            "libxi6 is already the newest version (2:1.8-1build1).\n",
            "libxi6 set to manually installed.\n",
            "libxkbcommon0 is already the newest version (1.4.0-1).\n",
            "libxkbcommon0 set to manually installed.\n",
            "libxrandr2 is already the newest version (2:1.5.2-1build1).\n",
            "libxrandr2 set to manually installed.\n",
            "libxrender1 is already the newest version (1:0.9.10-1build4).\n",
            "libx264-163 is already the newest version (2:0.163.3060+git5db6aa6-2build1).\n",
            "libx264-163 set to manually installed.\n",
            "libatomic1 is already the newest version (12.3.0-1ubuntu1~22.04.2).\n",
            "libatomic1 set to manually installed.\n",
            "libcups2 is already the newest version (2.4.1op1-1ubuntu4.12).\n",
            "libcups2 set to manually installed.\n",
            "libdbus-1-3 is already the newest version (1.12.20-2ubuntu4.1).\n",
            "libdbus-1-3 set to manually installed.\n",
            "libdrm2 is already the newest version (2.4.113-2~ubuntu0.22.04.1).\n",
            "libdrm2 set to manually installed.\n",
            "libfreetype6 is already the newest version (2.11.1+dfsg-1ubuntu0.3).\n",
            "libfreetype6 set to manually installed.\n",
            "libgbm1 is already the newest version (23.2.1-1ubuntu3.1~22.04.3).\n",
            "libgbm1 set to manually installed.\n",
            "libgdk-pixbuf-2.0-0 is already the newest version (2.42.8+dfsg-1ubuntu0.4).\n",
            "libgdk-pixbuf-2.0-0 set to manually installed.\n",
            "libglib2.0-0 is already the newest version (2.72.4-0ubuntu2.6).\n",
            "libgstreamer-plugins-base1.0-0 is already the newest version (1.20.1-1ubuntu0.5).\n",
            "libgstreamer-plugins-base1.0-0 set to manually installed.\n",
            "libgstreamer1.0-0 is already the newest version (1.20.3-0ubuntu1.1).\n",
            "libgstreamer1.0-0 set to manually installed.\n",
            "libgtk-3-0 is already the newest version (3.24.33-1ubuntu2.2).\n",
            "libgtk-3-0 set to manually installed.\n",
            "libgtk-4-1 is already the newest version (4.6.9+ds-0ubuntu0.22.04.2).\n",
            "libgtk-4-1 set to manually installed.\n",
            "libharfbuzz0b is already the newest version (2.7.4-1ubuntu3.2).\n",
            "libharfbuzz0b set to manually installed.\n",
            "libnspr4 is already the newest version (2:4.35-0ubuntu0.22.04.1).\n",
            "libnspr4 set to manually installed.\n",
            "libnss3 is already the newest version (2:3.98-0ubuntu0.22.04.2).\n",
            "libnss3 set to manually installed.\n",
            "libopenjp2-7 is already the newest version (2.4.0-6ubuntu0.4).\n",
            "libopenjp2-7 set to manually installed.\n",
            "libpango-1.0-0 is already the newest version (1.50.6+ds-2ubuntu1).\n",
            "libpango-1.0-0 set to manually installed.\n",
            "libpangocairo-1.0-0 is already the newest version (1.50.6+ds-2ubuntu1).\n",
            "libpangocairo-1.0-0 set to manually installed.\n",
            "libwayland-client0 is already the newest version (1.20.0-1ubuntu0.1).\n",
            "libwayland-client0 set to manually installed.\n",
            "libwayland-egl1 is already the newest version (1.20.0-1ubuntu0.1).\n",
            "libwayland-egl1 set to manually installed.\n",
            "libwayland-server0 is already the newest version (1.20.0-1ubuntu0.1).\n",
            "libwayland-server0 set to manually installed.\n",
            "libwebpdemux2 is already the newest version (1.2.2-2ubuntu0.22.04.2).\n",
            "libx11-6 is already the newest version (2:1.7.5-1ubuntu0.3).\n",
            "libx11-6 set to manually installed.\n",
            "libx11-xcb1 is already the newest version (2:1.7.5-1ubuntu0.3).\n",
            "libx11-xcb1 set to manually installed.\n",
            "libxml2 is already the newest version (2.9.13+dfsg-1ubuntu0.9).\n",
            "libxml2 set to manually installed.\n",
            "libxslt1.1 is already the newest version (1.1.34-4ubuntu0.22.04.4).\n",
            "ffmpeg is already the newest version (7:4.4.2-0ubuntu0.22.04.1).\n",
            "xvfb is already the newest version (2:21.1.4-2ubuntu1.7~22.04.15).\n",
            "The following additional packages will be installed:\n",
            "  dictionaries-common glib-networking glib-networking-common\n",
            "  glib-networking-services gsettings-desktop-schemas hunspell-en-us libaa1\n",
            "  libabsl20210324 libaspell15 libcdparanoia0 libdca0 libdv4 libdvdnav4\n",
            "  libdvdread8 libfaad2 libfluidsynth3 libfreeaptx0 libgav1-0 libgssdp-1.2-0\n",
            "  libgstreamer-plugins-bad1.0-0 libgstreamer-plugins-good1.0-0 libgupnp-1.2-1\n",
            "  libgupnp-igd-1.0-4 libhunspell-1.7-0 libinstpatch-1.0-2 libjson-glib-1.0-0\n",
            "  libjson-glib-1.0-common libkate1 libldacbt-enc2 libltc11 libmjpegutils-2.1-0\n",
            "  libmodplug1 libmpcdec6 libmpeg2encpp-2.1-0 libmplex2-2.1-0 libnice10\n",
            "  libopenh264-6 libopenni2-0 libqrencode4 libsbc1 libsecret-common libshout3\n",
            "  libsoundtouch1 libsoup-3.0-common libsoup2.4-1 libsoup2.4-common libspandsp2\n",
            "  libsrtp2-1 libtag1v5 libtag1v5-vanilla libtext-iconv-perl libv4l-0\n",
            "  libv4lconvert0 libvisual-0.4-0 libvo-aacenc0 libvo-amrwbenc0 libwavpack1\n",
            "  libwebrtc-audio-processing1 libwildmidi2 libyuv0 libzbar0 libzxingcore1\n",
            "  session-migration timgm6mb-soundfont xfonts-encodings xfonts-utils\n",
            "Suggested packages:\n",
            "  ispell | aspell | hunspell wordlist frei0r-plugins gvfs hunspell\n",
            "  openoffice.org-hunspell | openoffice.org-core aspell libdv-bin oss-compat\n",
            "  libdvdcss2 libenchant-2-voikko gnome-shell | notification-daemon\n",
            "  libvisual-0.4-plugins libwildmidi-config fluid-soundfont-gm\n",
            "Recommended packages:\n",
            "  fonts-ipafont-mincho fonts-tlwg-loma gstreamer1.0-x aspell-en\n",
            "  | aspell-dictionary | aspell6a-dictionary enchant-2 gstreamer1.0-gl\n",
            "  libmagickcore-6.q16-6-extra\n",
            "The following NEW packages will be installed:\n",
            "  dictionaries-common fonts-freefont-ttf fonts-ipafont-gothic\n",
            "  fonts-noto-color-emoji fonts-tlwg-loma-otf fonts-unifont fonts-wqy-zenhei\n",
            "  glib-networking glib-networking-common glib-networking-services\n",
            "  gsettings-desktop-schemas gstreamer1.0-libav gstreamer1.0-plugins-bad\n",
            "  gstreamer1.0-plugins-base gstreamer1.0-plugins-good hunspell-en-us libaa1\n",
            "  libabsl20210324 libaspell15 libavif13 libcdparanoia0 libdbus-glib-1-2\n",
            "  libdca0 libdv4 libdvdnav4 libdvdread8 libenchant-2-2 libevdev2 libfaad2\n",
            "  libffi7 libfluidsynth3 libfreeaptx0 libgav1-0 libgssdp-1.2-0\n",
            "  libgstreamer-gl1.0-0 libgstreamer-plugins-bad1.0-0\n",
            "  libgstreamer-plugins-good1.0-0 libgudev-1.0-0 libgupnp-1.2-1\n",
            "  libgupnp-igd-1.0-4 libharfbuzz-icu0 libhunspell-1.7-0 libhyphen0\n",
            "  libinstpatch-1.0-2 libjson-glib-1.0-0 libjson-glib-1.0-common libkate1\n",
            "  libldacbt-enc2 libltc11 libmanette-0.2-0 libmjpegutils-2.1-0 libmodplug1\n",
            "  libmpcdec6 libmpeg2encpp-2.1-0 libmplex2-2.1-0 libnice10 libnotify4\n",
            "  libopenh264-6 libopenni2-0 libproxy1v5 libqrencode4 libsbc1 libsecret-1-0\n",
            "  libsecret-common libshout3 libsoundtouch1 libsoup-3.0-0 libsoup-3.0-common\n",
            "  libsoup2.4-1 libsoup2.4-common libspandsp2 libsrtp2-1 libtag1v5\n",
            "  libtag1v5-vanilla libtext-iconv-perl libv4l-0 libv4lconvert0 libvisual-0.4-0\n",
            "  libvo-aacenc0 libvo-amrwbenc0 libwavpack1 libwebrtc-audio-processing1\n",
            "  libwildmidi2 libwoff1 libxtst6 libyuv0 libzbar0 libzxingcore1\n",
            "  session-migration timgm6mb-soundfont xfonts-cyrillic xfonts-encodings\n",
            "  xfonts-scalable xfonts-utils\n",
            "0 upgraded, 94 newly installed, 0 to remove and 43 not upgraded.\n",
            "Need to get 48.2 MB of archives.\n",
            "After this operation, 123 MB of additional disk space will be used.\n",
            "Get:1 http://archive.ubuntu.com/ubuntu jammy/universe amd64 fonts-ipafont-gothic all 00303-21ubuntu1 [3,513 kB]\n",
            "Get:2 http://archive.ubuntu.com/ubuntu jammy/main amd64 libtext-iconv-perl amd64 1.7-7build3 [14.3 kB]\n",
            "Get:3 http://archive.ubuntu.com/ubuntu jammy/main amd64 dictionaries-common all 1.28.14 [185 kB]\n",
            "Get:4 http://archive.ubuntu.com/ubuntu jammy/main amd64 fonts-freefont-ttf all 20120503-10build1 [2,388 kB]\n",
            "Get:5 http://archive.ubuntu.com/ubuntu jammy-updates/main amd64 fonts-noto-color-emoji all 2.047-0ubuntu0.22.04.1 [10.0 MB]\n",
            "Get:6 http://archive.ubuntu.com/ubuntu jammy/universe amd64 fonts-tlwg-loma-otf all 1:0.7.3-1 [107 kB]\n",
            "Get:7 http://archive.ubuntu.com/ubuntu jammy/universe amd64 fonts-unifont all 1:14.0.01-1 [3,551 kB]\n",
            "Get:8 http://archive.ubuntu.com/ubuntu jammy/universe amd64 fonts-wqy-zenhei all 0.9.45-8 [7,472 kB]\n",
            "Get:9 http://archive.ubuntu.com/ubuntu jammy/main amd64 libproxy1v5 amd64 0.4.17-2 [51.9 kB]\n",
            "Get:10 http://archive.ubuntu.com/ubuntu jammy/main amd64 glib-networking-common all 2.72.0-1 [3,718 B]\n",
            "Get:11 http://archive.ubuntu.com/ubuntu jammy/main amd64 glib-networking-services amd64 2.72.0-1 [9,982 B]\n",
            "Get:12 http://archive.ubuntu.com/ubuntu jammy/main amd64 session-migration amd64 0.3.6 [9,774 B]\n",
            "Get:13 http://archive.ubuntu.com/ubuntu jammy/main amd64 gsettings-desktop-schemas all 42.0-1ubuntu1 [31.1 kB]\n",
            "Get:14 http://archive.ubuntu.com/ubuntu jammy/main amd64 glib-networking amd64 2.72.0-1 [69.8 kB]\n",
            "Get:15 http://archive.ubuntu.com/ubuntu jammy-updates/universe amd64 gstreamer1.0-libav amd64 1.20.3-0ubuntu1 [103 kB]\n",
            "Get:16 http://archive.ubuntu.com/ubuntu jammy/main amd64 libcdparanoia0 amd64 3.10.2+debian-14build2 [49.3 kB]\n",
            "Get:17 http://archive.ubuntu.com/ubuntu jammy/main amd64 libvisual-0.4-0 amd64 0.4.0-17build2 [108 kB]\n",
            "Get:18 http://archive.ubuntu.com/ubuntu jammy-updates/main amd64 gstreamer1.0-plugins-base amd64 1.20.1-1ubuntu0.5 [712 kB]\n",
            "Get:19 http://archive.ubuntu.com/ubuntu jammy/main amd64 libaa1 amd64 1.4p5-50build1 [51.9 kB]\n",
            "Get:20 http://archive.ubuntu.com/ubuntu jammy/main amd64 libdv4 amd64 1.0.0-14build1 [61.9 kB]\n",
            "Get:21 http://archive.ubuntu.com/ubuntu jammy-updates/main amd64 libgstreamer-plugins-good1.0-0 amd64 1.20.3-0ubuntu1.4 [30.2 kB]\n",
            "Get:22 http://archive.ubuntu.com/ubuntu jammy/main amd64 libgudev-1.0-0 amd64 1:237-2build1 [16.3 kB]\n",
            "Get:23 http://archive.ubuntu.com/ubuntu jammy/main amd64 libshout3 amd64 2.4.5-1build3 [54.5 kB]\n",
            "Get:24 http://archive.ubuntu.com/ubuntu jammy/main amd64 libtag1v5-vanilla amd64 1.11.1+dfsg.1-3ubuntu3 [304 kB]\n",
            "Get:25 http://archive.ubuntu.com/ubuntu jammy/main amd64 libtag1v5 amd64 1.11.1+dfsg.1-3ubuntu3 [11.5 kB]\n",
            "Get:26 http://archive.ubuntu.com/ubuntu jammy/main amd64 libv4lconvert0 amd64 1.22.1-2build1 [82.4 kB]\n",
            "Get:27 http://archive.ubuntu.com/ubuntu jammy/main amd64 libv4l-0 amd64 1.22.1-2build1 [44.9 kB]\n",
            "Get:28 http://archive.ubuntu.com/ubuntu jammy/main amd64 libwavpack1 amd64 5.4.0-1build2 [83.7 kB]\n",
            "Get:29 http://archive.ubuntu.com/ubuntu jammy-updates/main amd64 libsoup2.4-common all 2.74.2-3ubuntu0.6 [4,778 B]\n",
            "Get:30 http://archive.ubuntu.com/ubuntu jammy-updates/main amd64 libsoup2.4-1 amd64 2.74.2-3ubuntu0.6 [288 kB]\n",
            "Get:31 http://archive.ubuntu.com/ubuntu jammy-updates/main amd64 gstreamer1.0-plugins-good amd64 1.20.3-0ubuntu1.4 [2,009 kB]\n",
            "Get:32 http://archive.ubuntu.com/ubuntu jammy/main amd64 hunspell-en-us all 1:2020.12.07-2 [280 kB]\n",
            "Get:33 http://archive.ubuntu.com/ubuntu jammy-updates/main amd64 libabsl20210324 amd64 0~20210324.2-2ubuntu0.2 [386 kB]\n",
            "Get:34 http://archive.ubuntu.com/ubuntu jammy/main amd64 libaspell15 amd64 0.60.8-4build1 [325 kB]\n",
            "Get:35 http://archive.ubuntu.com/ubuntu jammy/universe amd64 libgav1-0 amd64 0.17.0-1build1 [336 kB]\n",
            "Get:36 http://archive.ubuntu.com/ubuntu jammy/universe amd64 libyuv0 amd64 0.0~git20220104.b91df1a-2 [154 kB]\n",
            "Get:37 http://archive.ubuntu.com/ubuntu jammy/universe amd64 libavif13 amd64 0.9.3-3 [69.5 kB]\n",
            "Get:38 http://archive.ubuntu.com/ubuntu jammy/main amd64 libdbus-glib-1-2 amd64 0.112-2build1 [65.4 kB]\n",
            "Get:39 http://archive.ubuntu.com/ubuntu jammy/universe amd64 libdvdread8 amd64 6.1.2-1 [55.7 kB]\n",
            "Get:40 http://archive.ubuntu.com/ubuntu jammy/universe amd64 libdvdnav4 amd64 6.1.1-1 [39.3 kB]\n",
            "Get:41 http://archive.ubuntu.com/ubuntu jammy/main amd64 libhunspell-1.7-0 amd64 1.7.0-4build1 [175 kB]\n",
            "Get:42 http://archive.ubuntu.com/ubuntu jammy/main amd64 libenchant-2-2 amd64 2.3.2-1ubuntu2 [50.9 kB]\n",
            "Get:43 http://archive.ubuntu.com/ubuntu jammy/universe amd64 libfaad2 amd64 2.10.0-2 [197 kB]\n",
            "Get:44 http://archive.ubuntu.com/ubuntu jammy/universe amd64 libffi7 amd64 3.3-5ubuntu1 [19.9 kB]\n",
            "Get:45 http://archive.ubuntu.com/ubuntu jammy/universe amd64 libinstpatch-1.0-2 amd64 1.1.6-1 [240 kB]\n",
            "Get:46 http://archive.ubuntu.com/ubuntu jammy/universe amd64 timgm6mb-soundfont all 1.3-5 [5,427 kB]\n",
            "Get:47 http://archive.ubuntu.com/ubuntu jammy/universe amd64 libfluidsynth3 amd64 2.2.5-1 [246 kB]\n",
            "Get:48 http://archive.ubuntu.com/ubuntu jammy/universe amd64 libfreeaptx0 amd64 0.1.1-1 [12.9 kB]\n",
            "Get:49 http://archive.ubuntu.com/ubuntu jammy/main amd64 libgssdp-1.2-0 amd64 1.4.0.1-2build1 [48.9 kB]\n",
            "Get:50 http://archive.ubuntu.com/ubuntu jammy-updates/main amd64 libgstreamer-gl1.0-0 amd64 1.20.1-1ubuntu0.5 [204 kB]\n",
            "Get:51 http://archive.ubuntu.com/ubuntu jammy/main amd64 libgupnp-1.2-1 amd64 1.4.3-1 [93.3 kB]\n",
            "Get:52 http://archive.ubuntu.com/ubuntu jammy/universe amd64 libgupnp-igd-1.0-4 amd64 1.2.0-1build1 [16.8 kB]\n",
            "Get:53 http://archive.ubuntu.com/ubuntu jammy-updates/main amd64 libharfbuzz-icu0 amd64 2.7.4-1ubuntu3.2 [5,890 B]\n",
            "Get:54 http://archive.ubuntu.com/ubuntu jammy/main amd64 libhyphen0 amd64 2.8.8-7build2 [28.2 kB]\n",
            "Get:55 http://archive.ubuntu.com/ubuntu jammy/main amd64 libjson-glib-1.0-common all 1.6.6-1build1 [4,432 B]\n",
            "Get:56 http://archive.ubuntu.com/ubuntu jammy/main amd64 libjson-glib-1.0-0 amd64 1.6.6-1build1 [69.9 kB]\n",
            "Get:57 http://archive.ubuntu.com/ubuntu jammy/universe amd64 libkate1 amd64 0.4.1-11build1 [39.4 kB]\n",
            "Get:58 http://archive.ubuntu.com/ubuntu jammy/universe amd64 libldacbt-enc2 amd64 2.0.2.3+git20200429+ed310a0-4 [24.6 kB]\n",
            "Get:59 http://archive.ubuntu.com/ubuntu jammy/universe amd64 libltc11 amd64 1.3.1-1 [12.3 kB]\n",
            "Get:60 http://archive.ubuntu.com/ubuntu jammy/main amd64 libevdev2 amd64 1.12.1+dfsg-1 [39.5 kB]\n",
            "Get:61 http://archive.ubuntu.com/ubuntu jammy/main amd64 libmanette-0.2-0 amd64 0.2.6-3build1 [30.4 kB]\n",
            "Get:62 http://archive.ubuntu.com/ubuntu jammy/universe amd64 libmjpegutils-2.1-0 amd64 1:2.1.0+debian-6build1 [24.1 kB]\n",
            "Get:63 http://archive.ubuntu.com/ubuntu jammy/universe amd64 libmodplug1 amd64 1:0.8.9.0-3 [153 kB]\n",
            "Get:64 http://archive.ubuntu.com/ubuntu jammy/universe amd64 libmpcdec6 amd64 2:0.1~r495-2 [32.4 kB]\n",
            "Get:65 http://archive.ubuntu.com/ubuntu jammy/universe amd64 libmpeg2encpp-2.1-0 amd64 1:2.1.0+debian-6build1 [69.4 kB]\n",
            "Get:66 http://archive.ubuntu.com/ubuntu jammy/universe amd64 libmplex2-2.1-0 amd64 1:2.1.0+debian-6build1 [44.4 kB]\n",
            "Get:67 http://archive.ubuntu.com/ubuntu jammy/universe amd64 libnice10 amd64 0.1.18-2 [156 kB]\n",
            "Get:68 http://archive.ubuntu.com/ubuntu jammy-updates/main amd64 libnotify4 amd64 0.7.9-3ubuntu5.22.04.1 [20.3 kB]\n",
            "Get:69 http://archive.ubuntu.com/ubuntu jammy/universe amd64 libopenh264-6 amd64 2.2.0+dfsg-2 [407 kB]\n",
            "Get:70 http://archive.ubuntu.com/ubuntu jammy/universe amd64 libopenni2-0 amd64 2.2.0.33+dfsg-15 [389 kB]\n",
            "Get:71 http://archive.ubuntu.com/ubuntu jammy/universe amd64 libqrencode4 amd64 4.1.1-1 [24.0 kB]\n",
            "Get:72 http://archive.ubuntu.com/ubuntu jammy/main amd64 libsecret-common all 0.20.5-2 [4,278 B]\n",
            "Get:73 http://archive.ubuntu.com/ubuntu jammy/main amd64 libsecret-1-0 amd64 0.20.5-2 [124 kB]\n",
            "Get:74 http://archive.ubuntu.com/ubuntu jammy/universe amd64 libsoundtouch1 amd64 2.3.1+ds1-1 [38.3 kB]\n",
            "Get:75 http://archive.ubuntu.com/ubuntu jammy-updates/universe amd64 libsoup-3.0-common all 3.0.7-0ubuntu1 [62.1 kB]\n",
            "Get:76 http://archive.ubuntu.com/ubuntu jammy-updates/universe amd64 libsoup-3.0-0 amd64 3.0.7-0ubuntu1 [278 kB]\n",
            "Get:77 http://archive.ubuntu.com/ubuntu jammy/universe amd64 libspandsp2 amd64 0.0.6+dfsg-2 [272 kB]\n",
            "Get:78 http://archive.ubuntu.com/ubuntu jammy/universe amd64 libsrtp2-1 amd64 2.4.2-2 [40.7 kB]\n",
            "Get:79 http://archive.ubuntu.com/ubuntu jammy/main amd64 libwebrtc-audio-processing1 amd64 0.3.1-0ubuntu5 [291 kB]\n",
            "Get:80 http://archive.ubuntu.com/ubuntu jammy/universe amd64 libwildmidi2 amd64 0.4.3-1 [59.9 kB]\n",
            "Get:81 http://archive.ubuntu.com/ubuntu jammy/main amd64 libwoff1 amd64 1.0.2-1build4 [45.2 kB]\n",
            "Get:82 http://archive.ubuntu.com/ubuntu jammy/main amd64 libxtst6 amd64 2:1.2.3-1build4 [13.4 kB]\n",
            "Get:83 http://archive.ubuntu.com/ubuntu jammy/universe amd64 libzbar0 amd64 0.23.92-4build2 [121 kB]\n",
            "Get:84 http://archive.ubuntu.com/ubuntu jammy/universe amd64 libzxingcore1 amd64 1.2.0-1 [619 kB]\n",
            "Get:85 http://archive.ubuntu.com/ubuntu jammy/main amd64 xfonts-encodings all 1:1.0.5-0ubuntu2 [578 kB]\n",
            "Get:86 http://archive.ubuntu.com/ubuntu jammy/main amd64 xfonts-utils amd64 1:7.7+6build2 [94.6 kB]\n",
            "Get:87 http://archive.ubuntu.com/ubuntu jammy/universe amd64 xfonts-cyrillic all 1:1.0.5 [386 kB]\n",
            "Get:88 http://archive.ubuntu.com/ubuntu jammy/main amd64 xfonts-scalable all 1:1.0.3-1.2ubuntu1 [306 kB]\n",
            "Get:89 http://archive.ubuntu.com/ubuntu jammy/universe amd64 libdca0 amd64 0.0.7-2 [88.2 kB]\n",
            "Get:90 http://archive.ubuntu.com/ubuntu jammy-updates/universe amd64 libgstreamer-plugins-bad1.0-0 amd64 1.20.3-0ubuntu1.1 [489 kB]\n",
            "Get:91 http://archive.ubuntu.com/ubuntu jammy/main amd64 libsbc1 amd64 1.5-3build2 [34.4 kB]\n",
            "Get:92 http://archive.ubuntu.com/ubuntu jammy/universe amd64 libvo-aacenc0 amd64 0.1.3-2 [69.4 kB]\n",
            "Get:93 http://archive.ubuntu.com/ubuntu jammy/universe amd64 libvo-amrwbenc0 amd64 0.1.3-2 [68.2 kB]\n",
            "Get:94 http://archive.ubuntu.com/ubuntu jammy-updates/universe amd64 gstreamer1.0-plugins-bad amd64 1.20.3-0ubuntu1.1 [2,602 kB]\n",
            "Fetched 48.2 MB in 5s (10.2 MB/s)\n",
            "Extracting templates from packages: 100%\n",
            "Preconfiguring packages ...\n",
            "Selecting previously unselected package fonts-ipafont-gothic.\n",
            "(Reading database ... 126675 files and directories currently installed.)\n",
            "Preparing to unpack .../00-fonts-ipafont-gothic_00303-21ubuntu1_all.deb ...\n",
            "Unpacking fonts-ipafont-gothic (00303-21ubuntu1) ...\n",
            "Selecting previously unselected package libtext-iconv-perl.\n",
            "Preparing to unpack .../01-libtext-iconv-perl_1.7-7build3_amd64.deb ...\n",
            "Unpacking libtext-iconv-perl (1.7-7build3) ...\n",
            "Selecting previously unselected package dictionaries-common.\n",
            "Preparing to unpack .../02-dictionaries-common_1.28.14_all.deb ...\n",
            "Adding 'diversion of /usr/share/dict/words to /usr/share/dict/words.pre-dictionaries-common by dictionaries-common'\n",
            "Unpacking dictionaries-common (1.28.14) ...\n",
            "Selecting previously unselected package fonts-freefont-ttf.\n",
            "Preparing to unpack .../03-fonts-freefont-ttf_20120503-10build1_all.deb ...\n",
            "Unpacking fonts-freefont-ttf (20120503-10build1) ...\n",
            "Selecting previously unselected package fonts-noto-color-emoji.\n",
            "Preparing to unpack .../04-fonts-noto-color-emoji_2.047-0ubuntu0.22.04.1_all.deb ...\n",
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            "Selecting previously unselected package fonts-tlwg-loma-otf.\n",
            "Preparing to unpack .../05-fonts-tlwg-loma-otf_1%3a0.7.3-1_all.deb ...\n",
            "Unpacking fonts-tlwg-loma-otf (1:0.7.3-1) ...\n",
            "Selecting previously unselected package fonts-unifont.\n",
            "Preparing to unpack .../06-fonts-unifont_1%3a14.0.01-1_all.deb ...\n",
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            "Selecting previously unselected package fonts-wqy-zenhei.\n",
            "Preparing to unpack .../07-fonts-wqy-zenhei_0.9.45-8_all.deb ...\n",
            "Unpacking fonts-wqy-zenhei (0.9.45-8) ...\n",
            "Selecting previously unselected package libproxy1v5:amd64.\n",
            "Preparing to unpack .../08-libproxy1v5_0.4.17-2_amd64.deb ...\n",
            "Unpacking libproxy1v5:amd64 (0.4.17-2) ...\n",
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            "Preparing to unpack .../09-glib-networking-common_2.72.0-1_all.deb ...\n",
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            "Preparing to unpack .../10-glib-networking-services_2.72.0-1_amd64.deb ...\n",
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            "Selecting previously unselected package session-migration.\n",
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            "Selecting previously unselected package gsettings-desktop-schemas.\n",
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            "Selecting previously unselected package gstreamer1.0-libav:amd64.\n",
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            "Selecting previously unselected package libcdparanoia0:amd64.\n",
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            "Selecting previously unselected package gstreamer1.0-plugins-base:amd64.\n",
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            "Unpacking gstreamer1.0-plugins-base:amd64 (1.20.1-1ubuntu0.5) ...\n",
            "Selecting previously unselected package libaa1:amd64.\n",
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            "Unpacking libaa1:amd64 (1.4p5-50build1) ...\n",
            "Selecting previously unselected package libdv4:amd64.\n",
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            "Unpacking libdv4:amd64 (1.0.0-14build1) ...\n",
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            "Selecting previously unselected package libgudev-1.0-0:amd64.\n",
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            "Unpacking libshout3:amd64 (2.4.5-1build3) ...\n",
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            "Unpacking libtag1v5:amd64 (1.11.1+dfsg.1-3ubuntu3) ...\n",
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            "update-alternatives: using /usr/share/fonts/opentype/ipafont-gothic/ipag.ttf to provide /usr/share/fonts/truetype/fonts-japanese-gothic.ttf (fonts-japanese-gothic.ttf) in auto mode\n",
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            "Setting up libjson-glib-1.0-common (1.6.6-1build1) ...\n",
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            "Setting up glib-networking-common (2.72.0-1) ...\n",
            "Setting up timgm6mb-soundfont (1.3-5) ...\n",
            "update-alternatives: using /usr/share/sounds/sf2/TimGM6mb.sf2 to provide /usr/share/sounds/sf2/default-GM.sf2 (default-GM.sf2) in auto mode\n",
            "update-alternatives: using /usr/share/sounds/sf2/TimGM6mb.sf2 to provide /usr/share/sounds/sf3/default-GM.sf3 (default-GM.sf3) in auto mode\n",
            "Setting up libyuv0:amd64 (0.0~git20220104.b91df1a-2) ...\n",
            "Setting up libevdev2:amd64 (1.12.1+dfsg-1) ...\n",
            "Setting up gstreamer1.0-libav:amd64 (1.20.3-0ubuntu1) ...\n",
            "Setting up libinstpatch-1.0-2:amd64 (1.1.6-1) ...\n",
            "Setting up libmjpegutils-2.1-0:amd64 (1:2.1.0+debian-6build1) ...\n",
            "Setting up libgudev-1.0-0:amd64 (1:237-2build1) ...\n",
            "Setting up libsecret-common (0.20.5-2) ...\n",
            "Setting up libfluidsynth3:amd64 (2.2.5-1) ...\n",
            "Setting up libdvdnav4:amd64 (6.1.1-1) ...\n",
            "Setting up fonts-unifont (1:14.0.01-1) ...\n",
            "Setting up libaa1:amd64 (1.4p5-50build1) ...\n",
            "Setting up gsettings-desktop-schemas (42.0-1ubuntu1) ...\n",
            "Setting up glib-networking-services (2.72.0-1) ...\n",
            "Setting up libenchant-2-2:amd64 (2.3.2-1ubuntu2) ...\n",
            "Setting up libmanette-0.2-0:amd64 (0.2.6-3build1) ...\n",
            "Setting up xfonts-utils (1:7.7+6build2) ...\n",
            "Setting up libjson-glib-1.0-0:amd64 (1.6.6-1build1) ...\n",
            "Setting up libv4l-0:amd64 (1.22.1-2build1) ...\n",
            "Setting up libsecret-1-0:amd64 (0.20.5-2) ...\n",
            "Setting up libgstreamer-gl1.0-0:amd64 (1.20.1-1ubuntu0.5) ...\n",
            "Setting up libgav1-0:amd64 (0.17.0-1build1) ...\n",
            "Setting up libmpeg2encpp-2.1-0:amd64 (1:2.1.0+debian-6build1) ...\n",
            "Setting up libavif13:amd64 (0.9.3-3) ...\n",
            "Setting up xfonts-cyrillic (1:1.0.5) ...\n",
            "Setting up libmplex2-2.1-0:amd64 (1:2.1.0+debian-6build1) ...\n",
            "Setting up xfonts-scalable (1:1.0.3-1.2ubuntu1) ...\n",
            "Setting up libzbar0:amd64 (0.23.92-4build2) ...\n",
            "Processing triggers for man-db (2.10.2-1) ...\n",
            "Processing triggers for fontconfig (2.13.1-4.2ubuntu5) ...\n",
            "Processing triggers for libglib2.0-0:amd64 (2.72.4-0ubuntu2.6) ...\n",
            "Processing triggers for libc-bin (2.35-0ubuntu3.8) ...\n",
            "/sbin/ldconfig.real: /usr/local/lib/libtbb.so.12 is not a symbolic link\n",
            "\n",
            "/sbin/ldconfig.real: /usr/local/lib/libhwloc.so.15 is not a symbolic link\n",
            "\n",
            "/sbin/ldconfig.real: /usr/local/lib/libtbbmalloc.so.2 is not a symbolic link\n",
            "\n",
            "/sbin/ldconfig.real: /usr/local/lib/libumf.so.0 is not a symbolic link\n",
            "\n",
            "/sbin/ldconfig.real: /usr/local/lib/libtbbbind_2_5.so.3 is not a symbolic link\n",
            "\n",
            "/sbin/ldconfig.real: /usr/local/lib/libur_adapter_level_zero.so.0 is not a symbolic link\n",
            "\n",
            "/sbin/ldconfig.real: /usr/local/lib/libtbbbind.so.3 is not a symbolic link\n",
            "\n",
            "/sbin/ldconfig.real: /usr/local/lib/libur_adapter_opencl.so.0 is not a symbolic link\n",
            "\n",
            "/sbin/ldconfig.real: /usr/local/lib/libtcm.so.1 is not a symbolic link\n",
            "\n",
            "/sbin/ldconfig.real: /usr/local/lib/libtcm_debug.so.1 is not a symbolic link\n",
            "\n",
            "/sbin/ldconfig.real: /usr/local/lib/libur_adapter_level_zero_v2.so.0 is not a symbolic link\n",
            "\n",
            "/sbin/ldconfig.real: /usr/local/lib/libtbbbind_2_0.so.3 is not a symbolic link\n",
            "\n",
            "/sbin/ldconfig.real: /usr/local/lib/libur_loader.so.0 is not a symbolic link\n",
            "\n",
            "/sbin/ldconfig.real: /usr/local/lib/libtbbmalloc_proxy.so.2 is not a symbolic link\n",
            "\n",
            "Setting up glib-networking:amd64 (2.72.0-1) ...\n",
            "Setting up libsoup2.4-1:amd64 (2.74.2-3ubuntu0.6) ...\n",
            "Setting up gstreamer1.0-plugins-good:amd64 (1.20.3-0ubuntu1.4) ...\n",
            "Setting up libsoup-3.0-0:amd64 (3.0.7-0ubuntu1) ...\n",
            "Setting up libgssdp-1.2-0:amd64 (1.4.0.1-2build1) ...\n",
            "Setting up libgupnp-1.2-1:amd64 (1.4.3-1) ...\n",
            "Setting up libgupnp-igd-1.0-4:amd64 (1.2.0-1build1) ...\n",
            "Setting up libnice10:amd64 (0.1.18-2) ...\n",
            "Setting up gstreamer1.0-plugins-bad:amd64 (1.20.3-0ubuntu1.1) ...\n",
            "Processing triggers for dictionaries-common (1.28.14) ...\n",
            "Processing triggers for libc-bin (2.35-0ubuntu3.8) ...\n",
            "/sbin/ldconfig.real: /usr/local/lib/libtbb.so.12 is not a symbolic link\n",
            "\n",
            "/sbin/ldconfig.real: /usr/local/lib/libhwloc.so.15 is not a symbolic link\n",
            "\n",
            "/sbin/ldconfig.real: /usr/local/lib/libtbbmalloc.so.2 is not a symbolic link\n",
            "\n",
            "/sbin/ldconfig.real: /usr/local/lib/libumf.so.0 is not a symbolic link\n",
            "\n",
            "/sbin/ldconfig.real: /usr/local/lib/libtbbbind_2_5.so.3 is not a symbolic link\n",
            "\n",
            "/sbin/ldconfig.real: /usr/local/lib/libur_adapter_level_zero.so.0 is not a symbolic link\n",
            "\n",
            "/sbin/ldconfig.real: /usr/local/lib/libtbbbind.so.3 is not a symbolic link\n",
            "\n",
            "/sbin/ldconfig.real: /usr/local/lib/libur_adapter_opencl.so.0 is not a symbolic link\n",
            "\n",
            "/sbin/ldconfig.real: /usr/local/lib/libtcm.so.1 is not a symbolic link\n",
            "\n",
            "/sbin/ldconfig.real: /usr/local/lib/libtcm_debug.so.1 is not a symbolic link\n",
            "\n",
            "/sbin/ldconfig.real: /usr/local/lib/libur_adapter_level_zero_v2.so.0 is not a symbolic link\n",
            "\n",
            "/sbin/ldconfig.real: /usr/local/lib/libtbbbind_2_0.so.3 is not a symbolic link\n",
            "\n",
            "/sbin/ldconfig.real: /usr/local/lib/libur_loader.so.0 is not a symbolic link\n",
            "\n",
            "/sbin/ldconfig.real: /usr/local/lib/libtbbmalloc_proxy.so.2 is not a symbolic link\n",
            "\n",
            "Collecting pdfplumber\n",
            "  Downloading pdfplumber-0.11.7-py3-none-any.whl.metadata (42 kB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m42.8/42.8 kB\u001b[0m \u001b[31m4.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hCollecting pdfminer.six==20250506 (from pdfplumber)\n",
            "  Downloading pdfminer_six-20250506-py3-none-any.whl.metadata (4.2 kB)\n",
            "Requirement already satisfied: Pillow>=9.1 in /usr/local/lib/python3.12/dist-packages (from pdfplumber) (11.3.0)\n",
            "Collecting pypdfium2>=4.18.0 (from pdfplumber)\n",
            "  Downloading pypdfium2-4.30.0-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (48 kB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m48.5/48.5 kB\u001b[0m \u001b[31m5.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hRequirement already satisfied: charset-normalizer>=2.0.0 in /usr/local/lib/python3.12/dist-packages (from pdfminer.six==20250506->pdfplumber) (3.4.4)\n",
            "Requirement already satisfied: cryptography>=36.0.0 in /usr/local/lib/python3.12/dist-packages (from pdfminer.six==20250506->pdfplumber) (43.0.3)\n",
            "Requirement already satisfied: cffi>=1.12 in /usr/local/lib/python3.12/dist-packages (from cryptography>=36.0.0->pdfminer.six==20250506->pdfplumber) (2.0.0)\n",
            "Requirement already satisfied: pycparser in /usr/local/lib/python3.12/dist-packages (from cffi>=1.12->cryptography>=36.0.0->pdfminer.six==20250506->pdfplumber) (2.23)\n",
            "Downloading pdfplumber-0.11.7-py3-none-any.whl (60 kB)\n",
            "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m60.0/60.0 kB\u001b[0m \u001b[31m6.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hDownloading pdfminer_six-20250506-py3-none-any.whl (5.6 MB)\n",
            "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m5.6/5.6 MB\u001b[0m \u001b[31m55.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hDownloading pypdfium2-4.30.0-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (2.8 MB)\n",
            "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m2.8/2.8 MB\u001b[0m \u001b[31m79.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hInstalling collected packages: pypdfium2, pdfminer.six, pdfplumber\n",
            "Successfully installed pdfminer.six-20250506 pdfplumber-0.11.7 pypdfium2-4.30.0\n",
            "Collecting trafilatura\n",
            "  Downloading trafilatura-2.0.0-py3-none-any.whl.metadata (12 kB)\n",
            "Requirement already satisfied: certifi in /usr/local/lib/python3.12/dist-packages (from trafilatura) (2025.10.5)\n",
            "Requirement already satisfied: charset_normalizer>=3.4.0 in /usr/local/lib/python3.12/dist-packages (from trafilatura) (3.4.4)\n",
            "Collecting courlan>=1.3.2 (from trafilatura)\n",
            "  Downloading courlan-1.3.2-py3-none-any.whl.metadata (17 kB)\n",
            "Collecting htmldate>=1.9.2 (from trafilatura)\n",
            "  Downloading htmldate-1.9.3-py3-none-any.whl.metadata (10 kB)\n",
            "Collecting justext>=3.0.1 (from trafilatura)\n",
            "  Downloading justext-3.0.2-py2.py3-none-any.whl.metadata (7.3 kB)\n",
            "Requirement already satisfied: lxml>=5.3.0 in /usr/local/lib/python3.12/dist-packages (from trafilatura) (6.0.2)\n",
            "Requirement already satisfied: urllib3<3,>=1.26 in /usr/local/lib/python3.12/dist-packages (from trafilatura) (2.5.0)\n",
            "Requirement already satisfied: babel>=2.16.0 in /usr/local/lib/python3.12/dist-packages (from courlan>=1.3.2->trafilatura) (2.17.0)\n",
            "Collecting tld>=0.13 (from courlan>=1.3.2->trafilatura)\n",
            "  Downloading tld-0.13.1-py2.py3-none-any.whl.metadata (10 kB)\n",
            "Collecting dateparser>=1.1.2 (from htmldate>=1.9.2->trafilatura)\n",
            "  Downloading dateparser-1.2.2-py3-none-any.whl.metadata (29 kB)\n",
            "Collecting lxml>=5.3.0 (from trafilatura)\n",
            "  Downloading lxml-5.4.0-cp312-cp312-manylinux_2_28_x86_64.whl.metadata (3.5 kB)\n",
            "Requirement already satisfied: python-dateutil>=2.9.0.post0 in /usr/local/lib/python3.12/dist-packages (from htmldate>=1.9.2->trafilatura) (2.9.0.post0)\n",
            "Requirement already satisfied: pytz>=2024.2 in /usr/local/lib/python3.12/dist-packages (from dateparser>=1.1.2->htmldate>=1.9.2->trafilatura) (2025.2)\n",
            "Requirement already satisfied: regex>=2024.9.11 in /usr/local/lib/python3.12/dist-packages (from dateparser>=1.1.2->htmldate>=1.9.2->trafilatura) (2024.11.6)\n",
            "Requirement already satisfied: tzlocal>=0.2 in /usr/local/lib/python3.12/dist-packages (from dateparser>=1.1.2->htmldate>=1.9.2->trafilatura) (5.3.1)\n",
            "Collecting lxml_html_clean (from lxml[html_clean]>=4.4.2->justext>=3.0.1->trafilatura)\n",
            "  Downloading lxml_html_clean-0.4.3-py3-none-any.whl.metadata (2.3 kB)\n",
            "Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.12/dist-packages (from python-dateutil>=2.9.0.post0->htmldate>=1.9.2->trafilatura) (1.17.0)\n",
            "Downloading trafilatura-2.0.0-py3-none-any.whl (132 kB)\n",
            "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m132.6/132.6 kB\u001b[0m \u001b[31m11.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hDownloading courlan-1.3.2-py3-none-any.whl (33 kB)\n",
            "Downloading htmldate-1.9.3-py3-none-any.whl (31 kB)\n",
            "Downloading justext-3.0.2-py2.py3-none-any.whl (837 kB)\n",
            "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m837.9/837.9 kB\u001b[0m \u001b[31m50.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hDownloading lxml-5.4.0-cp312-cp312-manylinux_2_28_x86_64.whl (5.0 MB)\n",
            "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m5.0/5.0 MB\u001b[0m \u001b[31m130.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hDownloading dateparser-1.2.2-py3-none-any.whl (315 kB)\n",
            "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m315.5/315.5 kB\u001b[0m \u001b[31m28.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hDownloading tld-0.13.1-py2.py3-none-any.whl (274 kB)\n",
            "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m274.7/274.7 kB\u001b[0m \u001b[31m22.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hDownloading lxml_html_clean-0.4.3-py3-none-any.whl (14 kB)\n",
            "Installing collected packages: tld, lxml, lxml_html_clean, dateparser, courlan, htmldate, justext, trafilatura\n",
            "  Attempting uninstall: lxml\n",
            "    Found existing installation: lxml 6.0.2\n",
            "    Uninstalling lxml-6.0.2:\n",
            "      Successfully uninstalled lxml-6.0.2\n",
            "\u001b[31mERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.\n",
            "ddgs 9.6.1 requires lxml>=6.0.0, but you have lxml 5.4.0 which is incompatible.\u001b[0m\u001b[31m\n",
            "\u001b[0mSuccessfully installed courlan-1.3.2 dateparser-1.2.2 htmldate-1.9.3 justext-3.0.2 lxml-5.4.0 lxml_html_clean-0.4.3 tld-0.13.1 trafilatura-2.0.0\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "application/vnd.colab-display-data+json": {
              "pip_warning": {
                "packages": [
                  "lxml"
                ]
              },
              "id": "1cbfe8fd46734f9d861a6e131b3c74ae"
            }
          },
          "metadata": {}
        }
      ],
      "source": [
        "!pip install playwright\n",
        "!pip install playwright-stealth\n",
        "!playwright install\n",
        "!playwright install-deps\n",
        "!pip install pdfplumber\n",
        "!pip install trafilatura"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 13,
      "id": "uNgeNVFoMErV",
      "metadata": {
        "id": "uNgeNVFoMErV"
      },
      "outputs": [],
      "source": [
        "import requests\n",
        "from pdfminer.high_level import extract_text\n",
        "import asyncio\n",
        "import aiohttp\n",
        "import json"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 14,
      "id": "tvAnpg8zMA08",
      "metadata": {
        "id": "tvAnpg8zMA08"
      },
      "outputs": [],
      "source": [
        "async def extract_text_from_pdf(url: str, session: aiohttp.ClientSession) -> str | None:\n",
        "    \"\"\"\n",
        "    Tải file PDF từ URL và trích xuất văn bản nhanh bằng pdfminer.six (dùng session async)\n",
        "    \"\"\"\n",
        "    print(f\"  -> Detect PDF link. Handle by pdfminer.six: {url}\")\n",
        "    try:\n",
        "        async with session.get(url, timeout=60) as response:\n",
        "            if response.status != 200:\n",
        "                print(f\"❌ Failed to download PDF ({response.status})\")\n",
        "                return None\n",
        "\n",
        "            data = await response.read()\n",
        "\n",
        "        text = extract_text(io.BytesIO(data))\n",
        "        print(\"✅ SUCCESS! Extracted text using pdfminer.six ---\")\n",
        "        return text.strip()\n",
        "\n",
        "    except Exception as e:\n",
        "        print(f\"❌ Error when open file PDF {url}: {e}\")\n",
        "        return None"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 15,
      "id": "xSKWwAbIBwTu",
      "metadata": {
        "id": "xSKWwAbIBwTu"
      },
      "outputs": [],
      "source": [
        "from playwright.async_api import async_playwright\n",
        "from playwright_stealth import Stealth\n",
        "import trafilatura"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 16,
      "id": "6QF-79pKSBw1",
      "metadata": {
        "id": "6QF-79pKSBw1"
      },
      "outputs": [],
      "source": [
        "async def extract_text_from_web(url: str, session: aiohttp.ClientSession) -> str | None:\n",
        "    \"\"\"\n",
        "    Thử dùng trafilatura để trích xuất nội dung trước, nếu có lỗi\n",
        "    thì dùng Playwright hoặc Stealth Playwright để lấy nội dung HTML.\n",
        "    \"\"\"\n",
        "    print(f\"  -> Detect web link. Handle by Trafilatura: {url}\")\n",
        "\n",
        "    try:\n",
        "        # Fetch HTML bằng session (nhanh hơn nhiều so với trafilatura.fetch_url)\n",
        "        async with session.get(url, timeout=30) as resp:\n",
        "            if resp.status != 200:\n",
        "                raise ValueError(f\"HTTP {resp.status}\")\n",
        "            html_content = await resp.text()\n",
        "\n",
        "        text = trafilatura.extract(html_content)\n",
        "        if text:\n",
        "            print(\"✅ SUCCESS! Extracted text using Trafilatura ---\")\n",
        "            return text\n",
        "\n",
        "        raise ValueError(\"Trafilatura extraction return None\")\n",
        "\n",
        "    except Exception as e:\n",
        "        print(f\"⚠️ Error using Trafilatura for URL {url}: {e}\")\n",
        "        print(f\"Falling back to Playwright extraction ...\")\n",
        "\n",
        "        try:\n",
        "            async with async_playwright() as p:\n",
        "                browser = await p.chromium.launch(headless=True)\n",
        "                page = await browser.new_page()\n",
        "\n",
        "                await page.goto(url, timeout=15000, wait_until=\"domcontentloaded\")\n",
        "                html_content = await page.content()\n",
        "                await browser.close()\n",
        "\n",
        "                if not html_content:\n",
        "                    return None\n",
        "\n",
        "                # Nếu bị Cloudflare block, fallback stealth\n",
        "                if \"Cloudflare Ray ID\" in html_content:\n",
        "                    print(\"⚠️ Detected Cloudflare! Retrying with Stealth...\")\n",
        "                    async with Stealth().use_async(async_playwright()) as p2:\n",
        "                        browser = await p2.chromium.launch(headless=True)\n",
        "                        page = await browser.new_page()\n",
        "                        await page.goto(url, timeout=20000)\n",
        "                        html_content = await page.content()\n",
        "                        await browser.close()\n",
        "\n",
        "                main_text = trafilatura.extract(html_content, include_comments=False)\n",
        "                print(f\"✅ SUCCESS! Extracted text using Playwright ---\")\n",
        "                return main_text\n",
        "\n",
        "        except Exception as e1:\n",
        "            print(f\"❌ Error using Playwright extraction for URL {url}: {e1}\")\n",
        "            return None"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 17,
      "id": "rL1vDTvHMwAj",
      "metadata": {
        "id": "rL1vDTvHMwAj"
      },
      "outputs": [],
      "source": [
        "async def fetch_content_from_url(url: str, session: aiohttp.ClientSession) -> str | None:\n",
        "    \"\"\"\n",
        "    Hàm điều phối: Kiểm tra loại URL và gọi hàm xử lý tương ứng.\n",
        "    \"\"\"\n",
        "    if url.lower().endswith('.pdf'):\n",
        "        return await extract_text_from_pdf(url, session)\n",
        "    else:\n",
        "        return await extract_text_from_web(url, session)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 18,
      "id": "w3y0tq_pLIXu",
      "metadata": {
        "id": "w3y0tq_pLIXu"
      },
      "outputs": [],
      "source": [
        "import re\n",
        "\n",
        "def clean_text(text: str) -> str:\n",
        "    \"\"\"\n",
        "    Hàm để làm sạch văn bản thô:\n",
        "    - Loại bỏ URL và địa chỉ email.\n",
        "    - Thay thế nhiều ký tự xuống dòng, tab bằng một dấu cách.\n",
        "    - Xóa các dấu cách thừa.\n",
        "    \"\"\"\n",
        "    if not text:\n",
        "        return \"\"\n",
        "\n",
        "    # Loại bỏ URL\n",
        "    text = re.sub(r'https?://\\S+|www\\.\\S+', '', text)\n",
        "\n",
        "    # Loại bỏ địa chỉ email\n",
        "    text = re.sub(r'\\S+@\\S+', '', text)\n",
        "\n",
        "    # Thay thế các ký tự xuống dòng, tab, và các loại khoảng trắng khác bằng một dấu cách\n",
        "    text = re.sub(r'[\\n\\r\\t\\xa0]+', ' ', text)\n",
        "\n",
        "    # Thay thế nhiều dấu cách liên tiếp bằng một dấu cách duy nhất\n",
        "    text = re.sub(r'\\s{2,}', ' ', text)\n",
        "\n",
        "    # Xóa dấu cách ở đầu và cuối chuỗi\n",
        "    return text.strip()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 19,
      "id": "0eJs0RfoBz5o",
      "metadata": {
        "id": "0eJs0RfoBz5o"
      },
      "outputs": [],
      "source": [
        "import json\n",
        "from langchain.text_splitter import RecursiveCharacterTextSplitter\n",
        "\n",
        "def chunk_text(text: str, chunk_size: int = 512, chunk_overlap: int = 50) -> list[str]:\n",
        "    \"\"\"Hàm tiện ích để chia văn bản dài thành các chunk nhỏ hơn.\"\"\"\n",
        "    text_splitter = RecursiveCharacterTextSplitter(\n",
        "        chunk_size=chunk_size,\n",
        "        chunk_overlap=chunk_overlap,\n",
        "        length_function=len\n",
        "    )\n",
        "    return text_splitter.split_text(text)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 20,
      "id": "BsLJSWmbHrPf",
      "metadata": {
        "id": "BsLJSWmbHrPf"
      },
      "outputs": [],
      "source": [
        "async def process_claims_parallel(retrieved_data):\n",
        "    evidence_by_claim = {}\n",
        "    claims = list(retrieved_data.keys())\n",
        "\n",
        "    async with aiohttp.ClientSession() as session:\n",
        "        for claim in claims:\n",
        "            print(f\"\\n{'='*50}\\nHandle claim: '{claim}'\")\n",
        "            documents = retrieved_data[claim]\n",
        "            all_chunks_for_this_claim = []\n",
        "\n",
        "            # Gom tất cả link cần crawl\n",
        "            urls = [doc['link'] for doc in documents]\n",
        "\n",
        "            # Chạy crawl song song\n",
        "            print(f\"  -> Crawling {len(urls)} links in parallel...\")\n",
        "            tasks = [fetch_content_from_url(u, session) for u in urls]\n",
        "            full_contents = await asyncio.gather(*tasks)\n",
        "\n",
        "            # Ghép kết quả với từng doc\n",
        "            for doc, full_content in zip(documents, full_contents):\n",
        "                content_to_process = \"\"\n",
        "\n",
        "                if full_content and len(full_content) > 100:\n",
        "                    print(f\"SUCCESS!! {doc['link']}\")\n",
        "                    cleaned_full_content = clean_text(full_content)\n",
        "                    content_to_process = f\"{doc.get('title', '')}. {cleaned_full_content}\"\n",
        "                else:\n",
        "                    print(f\"FAIL!! Using snippet for {doc['link']}\")\n",
        "                    cleaned_snippet = clean_text(doc.get('snippet', ''))\n",
        "                    content_to_process = f\"{doc.get('title', '')}. {cleaned_snippet}\"\n",
        "\n",
        "                # Chia nhỏ nội dung\n",
        "                chunks = chunk_text(content_to_process)\n",
        "\n",
        "                # Lưu lại\n",
        "                for chunk_text_part in chunks:\n",
        "                    all_chunks_for_this_claim.append({\n",
        "                        \"text\": chunk_text_part,\n",
        "                        \"link\": doc['link']\n",
        "                    })\n",
        "\n",
        "            evidence_by_claim[claim] = all_chunks_for_this_claim\n",
        "            print(f\"==> Finish for claim '{claim}'. Total: {len(all_chunks_for_this_claim)} chunks.\")\n",
        "\n",
        "    return evidence_by_claim"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 21,
      "id": "hFOOzyCCTWEq",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "hFOOzyCCTWEq",
        "outputId": "a06baa91-4b74-409e-fb5e-9cac6c14d775"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "==================================================\n",
            "Handle claim: 'Biến đổi khí hậu đang làm thời tiết cực đoan hơn.'\n",
            "  -> Crawling 5 links in parallel...\n",
            "  -> Detect web link. Handle by Trafilatura: https://vietnam.un.org/vi/175280-nguyên-nhân-và-ảnh-hưởng-của-biến-đổi-khí-hậu\n",
            "  -> Detect web link. Handle by Trafilatura: https://nhandan.vn/bao-dong-ve-cac-hinh-thai-khi-hau-cuc-doan-post792907.html\n",
            "  -> Detect web link. Handle by Trafilatura: https://cafef.vn/bien-doi-khi-hau-gay-ra-nhieu-thay-doi-ve-luong-mua-khien-bao-du-doi-hon-188240729100143888.chn\n",
            "  -> Detect web link. Handle by Trafilatura: https://vnexpress.net/bien-doi-khi-hau-cham-ngoi-cho-thoi-tiet-cuc-doan-the-nao-4739038.html\n",
            "  -> Detect web link. Handle by Trafilatura: https://vnexpress.net/bien-doi-khi-hau-4796505.html\n",
            "✅ SUCCESS! Extracted text using Trafilatura ---\n",
            "✅ SUCCESS! Extracted text using Trafilatura ---\n",
            "✅ SUCCESS! Extracted text using Trafilatura ---\n",
            "✅ SUCCESS! Extracted text using Trafilatura ---\n",
            "✅ SUCCESS! Extracted text using Trafilatura ---\n",
            "SUCCESS!! https://vietnam.un.org/vi/175280-nguyên-nhân-và-ảnh-hưởng-của-biến-đổi-khí-hậu\n",
            "SUCCESS!! https://nhandan.vn/bao-dong-ve-cac-hinh-thai-khi-hau-cuc-doan-post792907.html\n",
            "SUCCESS!! https://cafef.vn/bien-doi-khi-hau-gay-ra-nhieu-thay-doi-ve-luong-mua-khien-bao-du-doi-hon-188240729100143888.chn\n",
            "SUCCESS!! https://vnexpress.net/bien-doi-khi-hau-cham-ngoi-cho-thoi-tiet-cuc-doan-the-nao-4739038.html\n",
            "SUCCESS!! https://vnexpress.net/bien-doi-khi-hau-4796505.html\n",
            "==> Finish for claim 'Biến đổi khí hậu đang làm thời tiết cực đoan hơn.'. Total: 67 chunks.\n",
            "\n",
            "==================================================\n",
            "Handle claim: 'Nhiệt độ toàn cầu đã tăng 1,1°C trong 100 năm qua.'\n",
            "  -> Crawling 5 links in parallel...\n",
            "  -> Detect web link. Handle by Trafilatura: https://nhandan.vn/nhiet-do-toan-cau-se-tang-len-muc-ky-luc-moi-trong-vong-5-nam-toi-post753212.html\n",
            "  -> Detect web link. Handle by Trafilatura: https://vnexpress.net/bien-doi-khi-hau-4796505.html\n",
            "  -> Detect web link. Handle by Trafilatura: https://vnexpress.net/qua-trinh-trai-dat-ruc-nong-trong-100-nam-qua-3601999.html\n",
            "  -> Detect web link. Handle by Trafilatura: https://nhandan.vn/su-nong-len-toan-cau-giua-15-c-va-2-c-khac-biet-nhau-nhu-the-nao-post672944.html\n",
            "  -> Detect web link. Handle by Trafilatura: http://vnmha.gov.vn/tin-tuc-bdkh-112/khi-hau-toan-cau-bien-doi-the-nao-trong-100-nam-qua-18658.html\n",
            "✅ SUCCESS! Extracted text using Trafilatura ---\n",
            "✅ SUCCESS! Extracted text using Trafilatura ---\n",
            "✅ SUCCESS! Extracted text using Trafilatura ---\n",
            "✅ SUCCESS! Extracted text using Trafilatura ---\n",
            "⚠️ Error using Trafilatura for URL http://vnmha.gov.vn/tin-tuc-bdkh-112/khi-hau-toan-cau-bien-doi-the-nao-trong-100-nam-qua-18658.html: \n",
            "Falling back to Playwright extraction ...\n",
            "❌ Error using Playwright extraction for URL http://vnmha.gov.vn/tin-tuc-bdkh-112/khi-hau-toan-cau-bien-doi-the-nao-trong-100-nam-qua-18658.html: Page.goto: Timeout 15000ms exceeded.\n",
            "Call log:\n",
            "  - navigating to \"http://vnmha.gov.vn/tin-tuc-bdkh-112/khi-hau-toan-cau-bien-doi-the-nao-trong-100-nam-qua-18658.html\", waiting until \"domcontentloaded\"\n",
            "\n",
            "SUCCESS!! https://nhandan.vn/nhiet-do-toan-cau-se-tang-len-muc-ky-luc-moi-trong-vong-5-nam-toi-post753212.html\n",
            "SUCCESS!! https://vnexpress.net/bien-doi-khi-hau-4796505.html\n",
            "SUCCESS!! https://vnexpress.net/qua-trinh-trai-dat-ruc-nong-trong-100-nam-qua-3601999.html\n",
            "SUCCESS!! https://nhandan.vn/su-nong-len-toan-cau-giua-15-c-va-2-c-khac-biet-nhau-nhu-the-nao-post672944.html\n",
            "FAIL!! Using snippet for http://vnmha.gov.vn/tin-tuc-bdkh-112/khi-hau-toan-cau-bien-doi-the-nao-trong-100-nam-qua-18658.html\n",
            "==> Finish for claim 'Nhiệt độ toàn cầu đã tăng 1,1°C trong 100 năm qua.'. Total: 31 chunks.\n"
          ]
        }
      ],
      "source": [
        "# Tải dữ liệu\n",
        "with open('document_retrieval_results_duckduckgo_v2.json', 'r', encoding='utf-8') as f:\n",
        "    retrieved_data = json.load(f)\n",
        "    retrieved_dict = {\n",
        "    item[\"claim\"]: item[\"sources\"]\n",
        "    for item in retrieved_data\n",
        "}\n",
        "\n",
        "evidence_by_claim = await process_claims_parallel(retrieved_dict)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 22,
      "id": "-CcEWKwlpLII",
      "metadata": {
        "id": "-CcEWKwlpLII"
      },
      "outputs": [],
      "source": [
        "HF_TOKEN = os.getenv(\"HF_TOKEN\")"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 23,
      "id": "F2Wl6CytHxXu",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000,
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        "id": "F2Wl6CytHxXu",
        "outputId": "566e3cd1-f7a5-4be7-b82a-899ba7a793e7"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Downloading Bi-Encoder model...\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
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              "modules.json:   0%|          | 0.00/229 [00:00<?, ?B/s]"
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            "text/plain": [
              "config_sentence_transformers.json:   0%|          | 0.00/123 [00:00<?, ?B/s]"
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          "text": [
            "\n",
            "--- Finding top-k chunk related to claim: 'Biến đổi khí hậu đang làm thời tiết cực đoan hơn.' ---\n",
            "    Top 20 chunk best related for claim 'Biến đổi khí hậu đang làm thời tiết cực đoan hơn.':\n",
            "    - Score: 0.6599 - VnExpress Biến đổi khí hậu châm ngòi cho thời tiết cực đoan thế nào - Báo VnExpress. 1. Mưa lớn Mỗi khi nhiệt độ trung bình tăng thêm một độ C, khí qu...\n",
            "    - Score: 0.5544 - sơ tán. Tổng Thư ký WMO Celeste Saulo nêu rõ, các hình thái thời tiết cực đoan do biến đổi khí hậu ngày càng gia tăng và đáng báo động, khởi nguồn từ ...\n",
            "    - Score: 0.5347 - đảo. Ngoài ra, đại dương hấp thụ cacbon dioxit, giữ cho chúng không bay vào khí quyển. Tuy nhiên quá nhiều cacbon dioxit lại làm tăng tính axit của đạ...\n",
            "    - Score: 0.5200 - cơ tuyệt chủng trong thời gian tới do biến đổi khí hậu và các yếu tố khác như mất môi trường sống, ô nhiễm... Nhiều hệ sinh thái quan trọng như rừng, ...\n",
            "    - Score: 0.4627 - này có tác động lớn nhất đến nhiệt độ, do đó các chuyên gia cho rằng thời tiết năm 2024 sẽ nóng hơn năm 2023. Hiện tượng khí hậu phức tạp này ảnh hưởn...\n",
            "    - Score: 0.4574 - gấp 1.000 lần so với mọi thời điểm từng được ghi nhận trong lịch sử loài người. Một triệu loài sinh vật đang đứng trước nguy cơ tuyệt chủng trong vòng...\n",
            "    - Score: 0.4557 - hợp xảy ra với hạn hán ở phía nam châu Phi vào đầu năm 2024. Nhưng nắng nóng do biến đổi khí hậu có thể làm hạn hán thêm trầm trọng bằng cách gây khô ...\n",
            "    - Score: 0.4341 - trong bão lũ kinh hoàng, những thảm kịch nối tiếp bởi biến đổi khí hậu - 09-05-2024Đừng nói đến đời con cháu, chúng ta đang lâm nguy vì biến đổi khí h...\n",
            "    - Score: 0.4326 - hơn không bởi nhiều yếu tố khác cũng góp phần như thay đổi sử dụng đất. Nhưng biến đổi khí hậu tạo ra những điều kiện thời tiết cần thiết để đám cháy ...\n",
            "    - Score: 0.4310 - giả thuyết cho rằng nhiệt độ cao hơn ở Bắc Cực, nơi ấm nhanh gấp gần 4 lần so với mức trung bình toàn cầu, khiến những luồng gió mạnh gọi là dòng tia ...\n",
            "    - Score: 0.4195 - sự thay đổi lớn hơn giữa thời tiết ẩm ướt và khô hạn. Nhiệt độ ấm lên đã tăng cường khả năng giữ độ ẩm của khí quyển, điều này đang gây ra sự biến độn...\n",
            "    - Score: 0.4114 - tồi tệ nhất 40 năm, khiến 1,2 triệu người dân ở Somalia mất chỗ ở. Biến đổi khí hậu làm hạn hán kiểu này nhiều khả năng xảy ra hơn ít nhất 100 lần, th...\n",
            "    - Score: 0.4053 - trung bình toàn cầu cũng đạt mức kỷ lục trong 12 năm liên tiếp, hiện cao khoảng 101,4 mm so với mức trung bình của năm 1993. Hiện tượng thời tiết cực ...\n",
            "    - Score: 0.4027 - các hiện tượng thời tiết cực đoan là một trong những lý do làm gia tăng nạn đói cũng như tình trạng thiếu thốn dinh dưỡng. Thuỷ sản, cây trồng và vật ...\n",
            "    - Score: 0.3961 - thể làm giảm nguồn nước và mất đi những đồng cỏ để chăn thả, làm giảm năng suất mùa vụ và ảnh hưởng đến gia súc. Thêm nhiều mối đe doạ đến sức khoẻ Bi...\n",
            "    - Score: 0.3774 - Biến đổi khí hậu gây ra nhiều thay đổi về lượng mưa, khiến bão dữ.... Biến đổi khí hậu gây ra nhiều thay đổi về lượng mưa, khiến bão dữ dội hơn Các nh...\n",
            "    - Score: 0.3665 - tại Đông Phi. Còn quá sớm để kết luận biến đổi khí hậu góp phần như thế nào vào sự kiện đó. Nhưng mưa lớn ở cùng khu vực vào tháng 10 và 11/2023 càng ...\n",
            "    - Score: 0.3642 - VnExpress Khí hậu toàn cầu biến đổi thế nào trong 100 năm qua - Báo VnExpress. Theo Cơ quan Năng lượng Quốc tế (IEA), kể từ sau cuộc cách mạng công ng...\n",
            "    - Score: 0.3386 - độ cao và khiến việc thực hiện các công việc ngoài trời trở nên khó khăn hơn. Rủi ro cháy rừng cao hơn và lây lan nhanh hơn rất nhiều khi khí hậu nóng...\n",
            "    - Score: 0.3349 - tình trạng thiếu dinh dưỡng ở những khu vực mà con người không thể trồng trọt hay tìm nguồn lương thực cần thiết. Mỗi năm, các yếu tố môi trường đã lấ...\n",
            "\n",
            "--- Finding top-k chunk related to claim: 'Nhiệt độ toàn cầu đã tăng 1,1°C trong 100 năm qua.' ---\n",
            "    Top 20 chunk best related for claim 'Nhiệt độ toàn cầu đã tăng 1,1°C trong 100 năm qua.':\n",
            "    - Score: 0.7463 - Khí hậu toàn cầu biến đổi thế nào trong 100 năm qua. Nhiệt độ toàn cầu tăng Theo NASA, trong 100 năm qua , nhiệt độ toàn cầu đã tăng khoảng 1,1-1,2 độ...\n",
            "    - Score: 0.7160 - ra nhanh hơn. Biểu hiện của hiện tượng này bao gồm băng tan, mực nước biển dâng, nhiệt độ toàn cầu tăng, gây ra thời tiết cực đoan... Nhiệt độ toàn cầ...\n",
            "    - Score: 0.6654 - khoảng 0,2-0,3 độ C. Trong giai đoạn này, nhiệt độ tăng chậm hơn so với những thập kỷ sau mặc dù các hoạt động công nghiệp đã bắt đầu phát thải lượng ...\n",
            "    - Score: 0.6518 - WMO cho rằng nhiệt độ bề mặt trung bình toàn cầu hàng năm cho mỗi năm từ năm 2023 đến năm 2027 được dự đoán là cao hơn từ 1,1°C đến 1,8°C so với mức t...\n",
            "    - Score: 0.6426 - Nhân Dân Nhiệt độ toàn cầu sẽ tăng lên mức kỷ lục mới trong vòng 5 năm tới. Báo cáo của WMO cho biết có 66% khả năng là nhiệt độ toàn cầu gần bề mặt t...\n",
            "    - Score: 0.5747 - đối với sức khỏe, an ninh lương thực, quản lý nước và môi trường. Nhiệt độ trung bình toàn cầu vào năm 2022 cao hơn khoảng 1,15°C so với mức trung bìn...\n",
            "    - Score: 0.5730 - trung bình toàn cầu cũng đạt mức kỷ lục trong 12 năm liên tiếp, hiện cao khoảng 101,4 mm so với mức trung bình của năm 1993. Hiện tượng thời tiết cực ...\n",
            "    - Score: 0.5613 - khi nhiệt độ toàn cầu cao hơn khoảng 1,2 độ C so với thời kỳ tiền công nghiệp. Mức tăng nhiệt độ không đều trên toàn cầu, Bắc Cực là nơi đã trải qua s...\n",
            "    - Score: 0.5322 - VnExpress Quá trình Trái Đất rực nóng trong 100 năm qua - Báo VnExpress. Cơ quan Hàng không Vũ trụ Mỹ (NASA) đầu tháng 6 công bố đồ họa mô tả xu hướng...\n",
            "    - Score: 0.4414 - sẽ vĩnh viễn vượt quá mức 1,5°C đề ra trong Hiệp định Paris về biến đổi khí hậu. Tuy nhiên, WMO đang gióng lên hồi chuông cảnh báo rằng nhiệt độ Trái ...\n",
            "    - Score: 0.4254 - 20 cm từ năm 1901 đến 2018 và dự đoán có thể tăng thêm từ 0,3 đến 1,1 mét vào cuối thế kỷ 21 nếu không có biện pháp kiềm chế khí thải. Tuy nhiên, tốc ...\n",
            "    - Score: 0.3883 - độ nóng lên đang ảnh hưởng đến Trái đất như thế nào? Hiện thế giới đã nóng lên khoảng 1,1°C so với mức thời kỳ tiền công nghiệp. Mỗi thập kỷ trong bốn...\n",
            "    - Score: 0.3841 - Nhân Dân Sự nóng lên toàn cầu giữa 1,5 °C và 2 °C khác biệt nhau như thế nào?. 1,5°C trở thành “mục tiêu bao quát” của COP26 Thỏa thuận Paris 2015 cam...\n",
            "    - Score: 0.3714 - kỷ 21, lượng mưa trong các trận bão lũ đã tăng từ 10-20%, chủ yếu do lượng hơi nước trong khí quyển tăng cao hơn khi nhiệt độ tăng. Biến đổi các hệ si...\n",
            "    - Score: 0.3674 - phân bố lượng mưa lại không đồng đều. Một số khu vực như Đông Á và Bắc Âu ghi nhận lượng mưa gia tăng ít nhất 10%, trong khi nhiều khu vực khác, đặc b...\n",
            "    - Score: 0.3649 - kế. Thực phẩm, rừng, bệnh tật Việc nóng lên 2°C, so với 1,5°C cũng sẽ làm tăng tác động đến sản xuất thực phẩm. Nhà khoa học khí hậu Simon Lewis tại Đ...\n",
            "    - Score: 0.3578 - thời gian tới. Theo một nghiên cứu của Liên Hợp Quốc, tần suất các cơn bão nhiệt đới đã tăng 30% kể từ giữa thế kỷ 20. Cường độ của chúng cũng ngày cà...\n",
            "    - Score: 0.3414 - nhiệt độ nóng hơn 2°C? Cho đến nay, cam kết về khí hậu mà các quốc gia đã đệ trình lên cơ quan đăng ký cam kết của Liên hợp quốc sẽ đưa thế giới vào t...\n",
            "    - Score: 0.3290 - rộng hơn. Nhưng nhiệt đô tăng 2°C cũng sẽ chứng kiến một tỷ lệ côn trùng và động vật lớn hơn bị mất hầu hết phạm vi môi trường sống của chúng, so với ...\n",
            "    - Score: 0.3289 - học khí hậu của Liên hợp quốc (IPCC), nếu sự nắng nóng khắc nghiệt xảy ra mỗi thập kỷ một lần trong khí hậu không có ảnh hưởng của con người, sẽ xảy r...\n"
          ]
        }
      ],
      "source": [
        "from sentence_transformers import SentenceTransformer, util\n",
        "\n",
        "print(\"Downloading Bi-Encoder model...\")\n",
        "bi_encoder = SentenceTransformer('bkai-foundation-models/vietnamese-bi-encoder')\n",
        "\n",
        "# Dùng để lưu trữ top-k ứng viên cho mỗi claim\n",
        "retrieved_candidates_by_claim = {}\n",
        "\n",
        "# 2. Lặp qua từng claim và các chunk tương ứng của nó\n",
        "for claim, chunks_for_claim in evidence_by_claim.items():\n",
        "    print(f\"\\n--- Finding top-k chunk related to claim: '{claim}' ---\")\n",
        "\n",
        "    if not chunks_for_claim:\n",
        "        print(\"     No evidence chunk for this claim\")\n",
        "        retrieved_candidates_by_claim[claim] = []\n",
        "        continue\n",
        "\n",
        "    # Encode câu claim hiện tại\n",
        "    claim_embedding = bi_encoder.encode(claim, convert_to_tensor=True)\n",
        "\n",
        "    # Lấy danh sách văn bản từ các chunk của claim này\n",
        "    chunk_texts = [chunk['text'] for chunk in chunks_for_claim]\n",
        "\n",
        "    # Encode tất cả các chunk\n",
        "    chunk_embeddings = bi_encoder.encode(chunk_texts, convert_to_tensor=True)\n",
        "\n",
        "    # 3. Tính cosine similarity cho claim này với các chunk của nó\n",
        "    cosine_scores = util.cos_sim(claim_embedding, chunk_embeddings)[0]\n",
        "\n",
        "    # 4. Lấy ra top-k ứng viên tiềm năng\n",
        "    top_k = 20\n",
        "    # Đảm bảo top_k không lớn hơn số lượng chunk có sẵn\n",
        "    num_chunks_available = len(chunks_for_claim)\n",
        "    actual_top_k = min(top_k, num_chunks_available)\n",
        "\n",
        "    top_results_indices = cosine_scores.argsort(descending=True)[:actual_top_k]\n",
        "\n",
        "    # Lưu các ứng viên tốt nhất vào danh sách tạm\n",
        "    top_chunks_for_this_claim = []\n",
        "    print(f\"    Top {actual_top_k} chunk best related for claim '{claim}':\")\n",
        "    for idx in top_results_indices:\n",
        "        candidate = chunks_for_claim[idx]\n",
        "        top_chunks_for_this_claim.append(candidate)\n",
        "        print(f\"    - Score: {cosine_scores[idx]:.4f} - {candidate['text'][:150]}...\")\n",
        "\n",
        "    # Lưu kết quả top-k cho claim hiện tại\n",
        "    retrieved_candidates_by_claim[claim] = top_chunks_for_this_claim"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 24,
      "id": "dcfda1ac",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "dcfda1ac",
        "outputId": "f16ed684-3117-4912-de64-3252d582bdea"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Collecting py_vncorenlp\n",
            "  Downloading py_vncorenlp-0.1.4.tar.gz (3.9 kB)\n",
            "  Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "Collecting pyjnius (from py_vncorenlp)\n",
            "  Downloading pyjnius-1.7.0-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl.metadata (13 kB)\n",
            "Downloading pyjnius-1.7.0-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl (1.6 MB)\n",
            "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m1.6/1.6 MB\u001b[0m \u001b[31m7.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hBuilding wheels for collected packages: py_vncorenlp\n",
            "  Building wheel for py_vncorenlp (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for py_vncorenlp: filename=py_vncorenlp-0.1.4-py3-none-any.whl size=4367 sha256=c82a8eb27f9fc87d0fbcc440ac8efa44d2c3af1a719018b20f8a2fcb2920abcb\n",
            "  Stored in directory: /root/.cache/pip/wheels/db/e5/ff/f4a1b4ece36e8582db1ca71150a34e987e65df50c35974e9bb\n",
            "Successfully built py_vncorenlp\n",
            "Installing collected packages: pyjnius, py_vncorenlp\n",
            "Successfully installed py_vncorenlp-0.1.4 pyjnius-1.7.0\n"
          ]
        }
      ],
      "source": [
        "!pip install py_vncorenlp"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 25,
      "id": "9J1Z1TzdOBfX",
      "metadata": {
        "id": "9J1Z1TzdOBfX"
      },
      "outputs": [],
      "source": [
        "from sentence_transformers.cross_encoder import CrossEncoder\n",
        "import py_vncorenlp\n",
        "import os"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 26,
      "id": "4Ir8-sglYyHu",
      "metadata": {
        "id": "4Ir8-sglYyHu"
      },
      "outputs": [],
      "source": [
        "!mkdir /content/vncorenlp_model"
      ]
    },
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        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "Loading VnCoreNLP word segmenter...\n",
            "\n",
            "Downloading PhoRanker Cross-Encoder model...\n"
          ]
        },
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            "\n",
            "--- Reranking evidences for claim: 'Biến đổi khí hậu đang làm thời tiết cực đoan hơn.' ---\n",
            "    Top 10 evidences after reranking:\n",
            "    - Score: 0.9790 - VnExpress Biến đổi khí hậu châm ngòi cho thời tiết cực đoan thế nào - Báo VnExpress. 1. Mưa lớn Mỗi khi nhiệt độ trung bình tăng thêm một độ C, khí quyển có thể chứa thêm khoảng 7% hơi ẩm. Điều này có thể dẫn tới nhiều hạt mưa và mưa nặng hạt hơn, đôi khi trong thời gian ngắn và khu vực nhỏ. Các nhà khoa học đánh giá liệu sự kiện thời tiết cực đoan có thể quy cho biến đổi khí hậu hay không bằng cách xem xét nguyên nhân từ nhiên và con người. Trong trường hợp mưa lớn ở Dubai, Các tiểu vương quốc Arab thống (Source: https://vnexpress.net/bien-doi-khi-hau-cham-ngoi-cho-thoi-tiet-cuc-doan-the-nao-4739038.html)\n",
            "    - Score: 0.9487 - sơ tán. Tổng Thư ký WMO Celeste Saulo nêu rõ, các hình thái thời tiết cực đoan do biến đổi khí hậu ngày càng gia tăng và đáng báo động, khởi nguồn từ các hoạt động xâm hại thiên nhiên của con người. Ông kêu gọi thế giới nỗ lực hơn nữa để giảm phát thải khí nhà kính, hạn chế sự nóng lên toàn cầu, qua đó giảm thảm họa thiên nhiên tàn khốc trong tương lai. (Source: https://nhandan.vn/bao-dong-ve-cac-hinh-thai-khi-hau-cuc-doan-post792907.html)\n",
            "    - Score: 0.9307 - Biến đổi khí hậu gây ra nhiều thay đổi về lượng mưa, khiến bão dữ.... Biến đổi khí hậu gây ra nhiều thay đổi về lượng mưa, khiến bão dữ dội hơn Các nhà khoa học cho biết các cơn bão nhiệt đới mạnh hơn là một phần của hiện tượng thời tiết khắc nghiệt do nhiệt độ tăng cao gây ra. - 23-07-2024Chỉ có thể là Nhật Bản: Nhà máy sản xuất sake duy nhất ở Tokyo cho rượu \"nghe nhạc\", hứa hẹn công nghệ hiện đại chống tác động biến đổi khí hậu - 01-07-2024Châu Âu chìm trong bão lũ kinh hoàng, những thảm kịch nối tiếp (Source: https://cafef.vn/bien-doi-khi-hau-gay-ra-nhieu-thay-doi-ve-luong-mua-khien-bao-du-doi-hon-188240729100143888.chn)\n",
            "    - Score: 0.8032 - hơn không bởi nhiều yếu tố khác cũng góp phần như thay đổi sử dụng đất. Nhưng biến đổi khí hậu tạo ra những điều kiện thời tiết cần thiết để đám cháy lan rộng hơn, theo IPCC. Nắng nóng cực đoan kéo dài hút nhiều hơi ẩm từ đất đai và cây cối. Điều kiện khô hạn cung cấp nhiên liệu cho đám cháy lan ra ở tốc độ khó tin, đặc biệt khi gió mạnh. Canada trải qua mùa cháy rừng tồi tệ nhất trong lịch sử vào năm 2023. Biến đổi khí hậu cũng tăng gấp đôi khả năng xuất hiện điều kiện cháy rừng ở phía đông Canada trong (Source: https://vnexpress.net/bien-doi-khi-hau-cham-ngoi-cho-thoi-tiet-cuc-doan-the-nao-4739038.html)\n",
            "    - Score: 0.7500 - độ cao và khiến việc thực hiện các công việc ngoài trời trở nên khó khăn hơn. Rủi ro cháy rừng cao hơn và lây lan nhanh hơn rất nhiều khi khí hậu nóng lên. Nhiệt độ ở hai Cực đã tăng lên ít nhất là gấp hai lần so với mức tăng trung bình của thế giới. Hình thành thêm nhiều cơn bão dữ dội Những cơn bão lớn đang trở nên khốc liệt hơn và xuất hiện thường xuyên hơn ở nhiều khu vực. Do nhiệt độ tăng, nước bốc hơi càng nhiều khiến tình trạng mưa cực lớn và ngập lụt trở nên trầm trọng hơn, kéo theo thêm nhiều cơn (Source: https://vietnam.un.org/vi/175280-nguyên-nhân-và-ảnh-hưởng-của-biến-đổi-khí-hậu)\n",
            "    - Score: 0.6157 - các hiện tượng thời tiết cực đoan là một trong những lý do làm gia tăng nạn đói cũng như tình trạng thiếu thốn dinh dưỡng. Thuỷ sản, cây trồng và vật nuôi có thể bị huỷ hoại hoặc năng suất sẽ kém đi. Khi mà nồng độ axit trong nước biển tăng cao, nguồn hải sản đang nuôi sống hàng tỷ người đang bị đe doạ. Sự thay đổi của lớp băng tuyết ở nhiều vùng cực Bắc đã làm gián đoạn nguồn lương thực đến từ hoạt động chăn nuôi, săn bắn và đánh cá. Tình trạng nóng lên có thể làm giảm nguồn nước và mất đi những đồng cỏ (Source: https://vietnam.un.org/vi/175280-nguyên-nhân-và-ảnh-hưởng-của-biến-đổi-khí-hậu)\n",
            "    - Score: 0.5869 - sự thay đổi lớn hơn giữa thời tiết ẩm ướt và khô hạn. Nhiệt độ ấm lên đã tăng cường khả năng giữ độ ẩm của khí quyển, điều này đang gây ra sự biến động lớn hơn về lượng mưa - các nhà nghiên cứu cho biết trong một bài báo được công bố trên tạp chí Science. Ông Steven Sherwood - nhà khoa học tại Trung tâm Nghiên cứu biến đổi khí hậu thuộc Đại học New South Wales, người không tham gia vào nghiên cứu này - cho biết: \"Tình trạng nóng lên toàn cầu tiếp tục diễn ra làm tăng khả năng xảy ra hạn hán và/hoặc lũ (Source: https://cafef.vn/bien-doi-khi-hau-gay-ra-nhieu-thay-doi-ve-luong-mua-khien-bao-du-doi-hon-188240729100143888.chn)\n",
            "    - Score: 0.5508 - tình trạng thiếu dinh dưỡng ở những khu vực mà con người không thể trồng trọt hay tìm nguồn lương thực cần thiết. Mỗi năm, các yếu tố môi trường đã lấy đi sinh mạng của khoảng 13 triệu người. Những thay đổi về thời tiết đang làm gia tăng dịch bệnh và các hiện tượng thời tiết cực đoan, dẫn đến số người thiệt mạng ngày càng tăng và khiến cho hệ thống y tế không thể theo kịp. Nghèo đói và di dân Biến đổi khí hậu làm gia tăng các yếu tố khiến con người rơi vào đói nghèo. Lũ lụt quét trôi các khu ổ chuột ở đô (Source: https://vietnam.un.org/vi/175280-nguyên-nhân-và-ảnh-hưởng-của-biến-đổi-khí-hậu)\n",
            "    - Score: 0.1989 - trung bình toàn cầu cũng đạt mức kỷ lục trong 12 năm liên tiếp, hiện cao khoảng 101,4 mm so với mức trung bình của năm 1993. Hiện tượng thời tiết cực đoan Sự ấm lên của nhiệt độ bề mặt trái đất đang góp phần làm gia tăng tần suất và cường độ của các hiện tượng thời tiết cực đoan như nắng nóng, hạn hán, lũ lụt, bão lớn... Nghiên cứu của IPCC cho thấy rằng lượng mưa toàn cầu đã gia tăng trung bình khoảng 1% mỗi thập kỷ, từ 10-20% trong 100 năm qua, nhưng sự phân bố lượng mưa lại không đồng đều. Một số khu (Source: https://vnexpress.net/bien-doi-khi-hau-4796505.html)\n",
            "    - Score: 0.1865 - tồi tệ nhất 40 năm, khiến 1,2 triệu người dân ở Somalia mất chỗ ở. Biến đổi khí hậu làm hạn hán kiểu này nhiều khả năng xảy ra hơn ít nhất 100 lần, theo WWA. Hiện tượng ấm lên do con người gây ra cũng là nguyên nhân chính phía sau đợt hạn hán nặng nề nhất ở rừng mưa Amazon trong nửa thế kỷ, xảy ra vào nửa cuối năm 2023. 4. Cháy rừng Những đám cháy xảy ra trong tự nhiên ở nhiều nơi trên thế giới. Rất khó biết liệu biến đổi khí hậu có làm cháy rừng tồi tệ hơn không bởi nhiều yếu tố khác cũng góp phần như (Source: https://vnexpress.net/bien-doi-khi-hau-cham-ngoi-cho-thoi-tiet-cuc-doan-the-nao-4739038.html)\n",
            "\n",
            "--- Reranking evidences for claim: 'Nhiệt độ toàn cầu đã tăng 1,1°C trong 100 năm qua.' ---\n",
            "    Top 10 evidences after reranking:\n",
            "    - Score: 0.9893 - Khí hậu toàn cầu biến đổi thế nào trong 100 năm qua. Nhiệt độ toàn cầu tăng Theo NASA, trong 100 năm qua , nhiệt độ toàn cầu đã tăng khoảng 1,1-1,2 độ C (2 độ F) so với mức trung bình trong thời kỳ trước công nghiệp (khoảng năm 1850-1900). Sự tăng nhiệt này không đều và có sự thay đổi theo từng giai đoạn. (Source: http://vnmha.gov.vn/tin-tuc-bdkh-112/khi-hau-toan-cau-bien-doi-the-nao-trong-100-nam-qua-18658.html)\n",
            "    - Score: 0.9873 - ra nhanh hơn. Biểu hiện của hiện tượng này bao gồm băng tan, mực nước biển dâng, nhiệt độ toàn cầu tăng, gây ra thời tiết cực đoan... Nhiệt độ toàn cầu tăng Theo NASA, trong 100 năm qua, nhiệt độ toàn cầu đã tăng khoảng 1,1-1,2 độ C (2 độ F) so với mức trung bình trong thời kỳ trước công nghiệp (khoảng năm 1850-1900). Sự tăng nhiệt này không đều và có sự thay đổi theo từng giai đoạn. Từ năm 1900 đến 1970, sự gia tăng trung bình của nhiệt độ toàn cầu ước tính khoảng 0,2-0,3 độ C. Trong giai đoạn này, nhiệt (Source: https://vnexpress.net/bien-doi-khi-hau-4796505.html)\n",
            "    - Score: 0.8940 - độ nóng lên đang ảnh hưởng đến Trái đất như thế nào? Hiện thế giới đã nóng lên khoảng 1,1°C so với mức thời kỳ tiền công nghiệp. Mỗi thập kỷ trong bốn thập kỷ qua đều nóng hơn bất kỳ thập kỷ nào kể từ năm 1850. Nhà khoa học khí hậu Daniela Jacob, Trung tâm Khí hậu Đức cho biết: “Chúng ta chưa bao giờ có hiện tượng trái đất nóng lên như vậy chỉ trong vài thập kỷ”. \"Nửa độ có nghĩa là thời tiết khắc nghiệt hơn nhiều và nó có thể thường xuyên hơn, dữ dội hơn hoặc thời gian kéo dài\". Chỉ trong năm nay, những (Source: https://nhandan.vn/su-nong-len-toan-cau-giua-15-c-va-2-c-khac-biet-nhau-nhu-the-nao-post672944.html)\n",
            "    - Score: 0.8921 - VnExpress Quá trình Trái Đất rực nóng trong 100 năm qua - Báo VnExpress. Cơ quan Hàng không Vũ trụ Mỹ (NASA) đầu tháng 6 công bố đồ họa mô tả xu hướng nóng lên toàn cầu trong giai đoạn 1880-2015, theo Telegraph. Đồ họa cho thấy trong hơn 100 năm qua, nhiệt độ trên Trái Đất đã thay đổi từ màu xanh lam biểu thị cho mức nhiệt lạnh hơn trung bình cho đến màu cam rực nóng trên toàn cầu, thể hiện nhiệt độ ấm hơn mức trung bình. Trái Đất xuất hiện với phần lớn là màu xanh lam trong giai đoạn đầu của thế kỷ 20. (Source: https://vnexpress.net/qua-trinh-trai-dat-ruc-nong-trong-100-nam-qua-3601999.html)\n",
            "    - Score: 0.8115 - khoảng 0,2-0,3 độ C. Trong giai đoạn này, nhiệt độ tăng chậm hơn so với những thập kỷ sau mặc dù các hoạt động công nghiệp đã bắt đầu phát thải lượng lớn khí nhà kính. Những năm 1970 - 2010, tốc độ tăng nhiệt trở nên nhanh hơn. Theo dữ liệu của NASA và NOAA, nhiệt độ trung bình toàn cầu trong thời gian này tăng thêm khoảng 0,7 độ C. Giai đoạn 2010 đến nay là những năm có nhiệt độ cao nhất trong lịch sử hiện đại. Cụ thể, năm 2016 và 2020 là 2 năm nóng kỷ lục khi nhiệt độ toàn cầu cao hơn khoảng 1,2 độ C so (Source: https://vnexpress.net/bien-doi-khi-hau-4796505.html)\n",
            "    - Score: 0.7920 - 20 cm từ năm 1901 đến 2018 và dự đoán có thể tăng thêm từ 0,3 đến 1,1 mét vào cuối thế kỷ 21 nếu không có biện pháp kiềm chế khí thải. Tuy nhiên, tốc độ tăng này diễn ra không đều ở một vài giai đoạn. Trong 50 năm qua, đại dương đã hấp thụ hơn 90% năng lượng dư thừa mà khí nhà kính và các yếu tố khác giữ lại trong trái đất. Nhiệt độ của đại dương, được đo từ bề mặt cho đến độ sâu 2.000 m tiếp tục tăng và đạt mức cao kỷ lục vào năm 2023. Đồng thời, mực nước biển trung bình toàn cầu cũng đạt mức kỷ lục trong (Source: https://vnexpress.net/bien-doi-khi-hau-4796505.html)\n",
            "    - Score: 0.7197 - trung bình toàn cầu cũng đạt mức kỷ lục trong 12 năm liên tiếp, hiện cao khoảng 101,4 mm so với mức trung bình của năm 1993. Hiện tượng thời tiết cực đoan Sự ấm lên của nhiệt độ bề mặt trái đất đang góp phần làm gia tăng tần suất và cường độ của các hiện tượng thời tiết cực đoan như nắng nóng, hạn hán, lũ lụt, bão lớn... Nghiên cứu của IPCC cho thấy rằng lượng mưa toàn cầu đã gia tăng trung bình khoảng 1% mỗi thập kỷ, từ 10-20% trong 100 năm qua, nhưng sự phân bố lượng mưa lại không đồng đều. Một số khu (Source: https://vnexpress.net/bien-doi-khi-hau-4796505.html)\n",
            "    - Score: 0.6636 - sẽ vĩnh viễn vượt quá mức 1,5°C đề ra trong Hiệp định Paris về biến đổi khí hậu. Tuy nhiên, WMO đang gióng lên hồi chuông cảnh báo rằng nhiệt độ Trái đất sẽ tạm thời \"vi phạm\" mức 1,5°C với tần suất ngày càng tăng. Ông Petteri Taalas nêu rõ hiện tượng El Nino nóng lên dự kiến sẽ gia tăng trong những tháng tới và điều này kết hợp với biến đổi khí hậu do con người gây ra sẽ đẩy nhiệt độ toàn cầu lên một mức chưa từng có. Điều này sẽ có những tác động sâu rộng đối với sức khỏe, an ninh lương thực, quản lý (Source: https://nhandan.vn/nhiet-do-toan-cau-se-tang-len-muc-ky-luc-moi-trong-vong-5-nam-toi-post753212.html)\n",
            "    - Score: 0.4065 - WMO cho rằng nhiệt độ bề mặt trung bình toàn cầu hàng năm cho mỗi năm từ năm 2023 đến năm 2027 được dự đoán là cao hơn từ 1,1°C đến 1,8°C so với mức trung bình của những năm 1850-1900. WMO cho rằng có tới 98%, một trong năm 5 tới sẽ là năm nóng kỷ lục, vượt cả năm 2016 - thời điểm nhiệt độ toàn cầu tăng thêm 1,3 độ C. (Source: https://nhandan.vn/nhiet-do-toan-cau-se-tang-len-muc-ky-luc-moi-trong-vong-5-nam-toi-post753212.html)\n",
            "    - Score: 0.3601 - khi nhiệt độ toàn cầu cao hơn khoảng 1,2 độ C so với thời kỳ tiền công nghiệp. Mức tăng nhiệt độ không đều trên toàn cầu, Bắc Cực là nơi đã trải qua sự gia tăng nhiệt độ lớn nhất, ghi nhận sự ấm lên 2-3 độ C so với trung bình một số khu vực. Mực nước biển dâng Nóng lên toàn cầu gây ra hiện tượng tan chảy băng ở các vùng cực và sông băng, làm mực nước biển dâng lên. Theo báo cáo của IPCC (Ban liên chính phủ về biến đổi khí hậu), mực nước biển đã tăng khoảng 20 cm từ năm 1901 đến 2018 và dự đoán có thể tăng (Source: https://vnexpress.net/bien-doi-khi-hau-4796505.html)\n"
          ]
        }
      ],
      "source": [
        "print(\"\\nLoading VnCoreNLP word segmenter...\")\n",
        "VNCORENLP_SAVE_DIR = '/content/vncorenlp_model'\n",
        "if not os.path.exists(os.path.join(VNCORENLP_SAVE_DIR, 'model')):\n",
        "  py_vncorenlp.download_model(save_dir=VNCORENLP_SAVE_DIR)\n",
        "\n",
        "if 'rdrsegmenter' not in globals():\n",
        "    rdrsegmenter = py_vncorenlp.VnCoreNLP(annotators=[\"wseg\"], save_dir=VNCORENLP_SAVE_DIR)\n",
        "else:\n",
        "    print(\"VnCoreNLP segmenter already initialized — reusing existing instance.\")\n",
        "\n",
        "# Tải mô hình Cross-Encoder PhoRanker (Vietnamese)\n",
        "print(\"\\nDownloading PhoRanker Cross-Encoder model...\")\n",
        "MODEL_ID = 'itdainb/PhoRanker'\n",
        "MAX_LENGTH = 256\n",
        "cross_encoder = CrossEncoder(MODEL_ID, max_length=MAX_LENGTH)\n",
        "\n",
        "# Nếu GPU hỗ trợ FP16\n",
        "try:\n",
        "    cross_encoder.model.half()\n",
        "except Exception as e:\n",
        "    print(f\"Warning: Unable to convert model to FP16 ({e})\")\n",
        "\n",
        "# Reranking bằng mô hình PhoRanker\n",
        "final_evidence_by_claim = {}\n",
        "\n",
        "for claim, candidates in retrieved_candidates_by_claim.items():\n",
        "    print(f\"\\n--- Reranking evidences for claim: '{claim}' ---\")\n",
        "\n",
        "    if not candidates:\n",
        "        print(\"     No candidate to rerank.\")\n",
        "        final_evidence_by_claim[claim] = []\n",
        "        continue\n",
        "\n",
        "    # Lấy danh sách văn bản ứng viên\n",
        "    candidate_texts = [candidate['text'] for candidate in candidates]\n",
        "\n",
        "    # Tách từ và NỐI LẠI THÀNH CHUỖI\n",
        "    tokenized_claim = \" \".join(rdrsegmenter.word_segment(claim))\n",
        "    tokenized_candidates = [\" \".join(rdrsegmenter.word_segment(text)) for text in candidate_texts]\n",
        "\n",
        "    # Tạo cặp (claim, candidate) ở dạng chuỗi\n",
        "    tokenized_pairs = [[tokenized_claim, sent] for sent in tokenized_candidates]\n",
        "\n",
        "    # Dự đoán điểm liên quan\n",
        "    cross_scores = cross_encoder.predict(tokenized_pairs)\n",
        "\n",
        "    # Gộp điểm + dữ liệu ứng viên\n",
        "    reranked_results = list(zip(cross_scores, candidates))\n",
        "    reranked_results.sort(key=lambda x: x[0], reverse=True)\n",
        "\n",
        "    # Giới hạn top-k\n",
        "    final_top_k = 10\n",
        "    actual_final_top_k = min(final_top_k, len(candidates))\n",
        "    final_evidence = reranked_results[:actual_final_top_k]\n",
        "\n",
        "    # Lưu kết quả\n",
        "    final_evidence_by_claim[claim] = final_evidence\n",
        "\n",
        "    print(f\"    Top {actual_final_top_k} evidences after reranking:\")\n",
        "    for score, chunk in final_evidence:\n",
        "        print(f\"    - Score: {score:.4f} - {chunk['text']} (Source: {chunk.get('link', 'N/A')})\")\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 28,
      "id": "AHMdGO0JOECE",
      "metadata": {
        "id": "AHMdGO0JOECE"
      },
      "outputs": [],
      "source": [
        "from transformers import AutoTokenizer, AutoModelForSequenceClassification\n",
        "import torch\n",
        "import json"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 29,
      "id": "B3CSkIO6FqEz",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 194,
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        },
        "id": "B3CSkIO6FqEz",
        "outputId": "58c4975d-9b18-49be-9592-2450b5b733f9"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Downloading module NLI (FEVER-trained)...\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "tokenizer_config.json:   0%|          | 0.00/25.0 [00:00<?, ?B/s]"
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            "application/vnd.jupyter.widget-view+json": {
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          "data": {
            "text/plain": [
              "config.json:   0%|          | 0.00/734 [00:00<?, ?B/s]"
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        {
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          "data": {
            "text/plain": [
              "sentencepiece.bpe.model:   0%|          | 0.00/5.07M [00:00<?, ?B/s]"
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              "version_major": 2,
              "version_minor": 0,
              "model_id": "cb76542bbcd94b3a911bbccb2a19859d"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "special_tokens_map.json:   0%|          | 0.00/150 [00:00<?, ?B/s]"
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            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
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          "metadata": {}
        },
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          "output_type": "display_data",
          "data": {
            "text/plain": [
              "model.safetensors:   0%|          | 0.00/2.24G [00:00<?, ?B/s]"
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              "model_id": "bca827bd34f64420aeacd584b39904c8"
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          "metadata": {}
        }
      ],
      "source": [
        "print(\"Downloading module NLI (FEVER-trained)...\")\n",
        "nli_model_name = \"vicgalle/xlm-roberta-large-xnli-anli\"\n",
        "\n",
        "tokenizer = AutoTokenizer.from_pretrained(nli_model_name)\n",
        "nli_model = AutoModelForSequenceClassification.from_pretrained(nli_model_name)\n",
        "\n",
        "def classify_stance(claim: str, evidence_text: str) -> dict:\n",
        "    \"\"\"\n",
        "    Phân loại lập trường của một bằng chứng so với một claim sử dụng mô hình NLI.\n",
        "    (Hàm này giữ nguyên y hệt như trong notebook gốc của bạn)\n",
        "    \"\"\"\n",
        "    # Mã hóa cặp (bằng chứng, claim)\n",
        "    # Premise = evidence_text, Hypothesis = claim\n",
        "\n",
        "    # Cắt bớt văn bản để tránh lỗi token quá dài\n",
        "    tokenized_input = tokenizer(evidence_text, claim, return_tensors='pt', truncation=True, max_length=512)\n",
        "\n",
        "    with torch.no_grad():\n",
        "        outputs = nli_model(**tokenized_input)\n",
        "\n",
        "    # Lấy điểm số xác suất cho mỗi nhãn\n",
        "    logits = outputs.logits\n",
        "    probabilities = torch.softmax(logits, dim=1).squeeze().tolist()\n",
        "\n",
        "    # Các mô hình XNLI thường có thứ tự nhãn: [contradiction, neutral, entailment]\n",
        "    # tương ứng với index [0, 1, 2]\n",
        "    # (Mô hình Moritz này cũng theo thứ tự đó)\n",
        "    labels = ['Refute', 'Neutral', 'Support']\n",
        "\n",
        "    # Tìm nhãn có xác suất cao nhất\n",
        "    predicted_index = torch.argmax(logits, dim=1).item()\n",
        "    predicted_label = labels[predicted_index]\n",
        "\n",
        "    return {\n",
        "        \"stance\": predicted_label,\n",
        "        \"score\": probabilities[predicted_index],\n",
        "        \"scores_all\": {\n",
        "            \"refute\": probabilities[0],\n",
        "            \"neutral\": probabilities[1],\n",
        "            \"support\": probabilities[2]\n",
        "        }\n",
        "    }"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 30,
      "id": "kBYXeNpdIRdt",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "kBYXeNpdIRdt",
        "outputId": "d8a22fe8-b830-4da8-a8f6-1a5dcf59797c"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "--- Phân loại lập trường cho claim: 'Biến đổi khí hậu đang làm thời tiết cực đoan hơn.' ---\n",
            "  -> Stance: Neutral ({'refute': 0.004481097217649221, 'neutral': 0.6608585715293884, 'support': 0.3346603810787201}): | Text: VnExpress Biến đổi khí hậu châm ngòi cho thời tiết cực đoan thế nào - Báo VnExpress. 1. Mưa lớn Mỗi khi nhiệt độ trung bình tăng thêm một độ C, khí quyển có thể chứa thêm khoảng 7% hơi ẩm. Điều này có thể dẫn tới nhiều hạt mưa và mưa nặng hạt hơn, đôi khi trong thời gian ngắn và khu vực nhỏ. Các nhà khoa học đánh giá liệu sự kiện thời tiết cực đoan có thể quy cho biến đổi khí hậu hay không bằng cách xem xét nguyên nhân từ nhiên và con người. Trong trường hợp mưa lớn ở Dubai, Các tiểu vương quốc Arab thống\n",
            "  -> Stance: Support ({'refute': 0.0004723505408037454, 'neutral': 0.00014160694263409823, 'support': 0.9993860721588135}): | Text: sơ tán. Tổng Thư ký WMO Celeste Saulo nêu rõ, các hình thái thời tiết cực đoan do biến đổi khí hậu ngày càng gia tăng và đáng báo động, khởi nguồn từ các hoạt động xâm hại thiên nhiên của con người. Ông kêu gọi thế giới nỗ lực hơn nữa để giảm phát thải khí nhà kính, hạn chế sự nóng lên toàn cầu, qua đó giảm thảm họa thiên nhiên tàn khốc trong tương lai.\n",
            "  -> Stance: Support ({'refute': 0.0012948333751410246, 'neutral': 0.04007403180003166, 'support': 0.9586310982704163}): | Text: Biến đổi khí hậu gây ra nhiều thay đổi về lượng mưa, khiến bão dữ.... Biến đổi khí hậu gây ra nhiều thay đổi về lượng mưa, khiến bão dữ dội hơn Các nhà khoa học cho biết các cơn bão nhiệt đới mạnh hơn là một phần của hiện tượng thời tiết khắc nghiệt do nhiệt độ tăng cao gây ra. - 23-07-2024Chỉ có thể là Nhật Bản: Nhà máy sản xuất sake duy nhất ở Tokyo cho rượu \"nghe nhạc\", hứa hẹn công nghệ hiện đại chống tác động biến đổi khí hậu - 01-07-2024Châu Âu chìm trong bão lũ kinh hoàng, những thảm kịch nối tiếp\n",
            "  -> Stance: Support ({'refute': 0.0028366579208523035, 'neutral': 0.006512293592095375, 'support': 0.99065101146698}): | Text: hơn không bởi nhiều yếu tố khác cũng góp phần như thay đổi sử dụng đất. Nhưng biến đổi khí hậu tạo ra những điều kiện thời tiết cần thiết để đám cháy lan rộng hơn, theo IPCC. Nắng nóng cực đoan kéo dài hút nhiều hơi ẩm từ đất đai và cây cối. Điều kiện khô hạn cung cấp nhiên liệu cho đám cháy lan ra ở tốc độ khó tin, đặc biệt khi gió mạnh. Canada trải qua mùa cháy rừng tồi tệ nhất trong lịch sử vào năm 2023. Biến đổi khí hậu cũng tăng gấp đôi khả năng xuất hiện điều kiện cháy rừng ở phía đông Canada trong\n",
            "  -> Stance: Support ({'refute': 0.0006083892076276243, 'neutral': 0.002158908871933818, 'support': 0.9972327351570129}): | Text: độ cao và khiến việc thực hiện các công việc ngoài trời trở nên khó khăn hơn. Rủi ro cháy rừng cao hơn và lây lan nhanh hơn rất nhiều khi khí hậu nóng lên. Nhiệt độ ở hai Cực đã tăng lên ít nhất là gấp hai lần so với mức tăng trung bình của thế giới. Hình thành thêm nhiều cơn bão dữ dội Những cơn bão lớn đang trở nên khốc liệt hơn và xuất hiện thường xuyên hơn ở nhiều khu vực. Do nhiệt độ tăng, nước bốc hơi càng nhiều khiến tình trạng mưa cực lớn và ngập lụt trở nên trầm trọng hơn, kéo theo thêm nhiều cơn\n",
            "  -> Stance: Support ({'refute': 0.00623288843780756, 'neutral': 0.01699606329202652, 'support': 0.9767709970474243}): | Text: các hiện tượng thời tiết cực đoan là một trong những lý do làm gia tăng nạn đói cũng như tình trạng thiếu thốn dinh dưỡng. Thuỷ sản, cây trồng và vật nuôi có thể bị huỷ hoại hoặc năng suất sẽ kém đi. Khi mà nồng độ axit trong nước biển tăng cao, nguồn hải sản đang nuôi sống hàng tỷ người đang bị đe doạ. Sự thay đổi của lớp băng tuyết ở nhiều vùng cực Bắc đã làm gián đoạn nguồn lương thực đến từ hoạt động chăn nuôi, săn bắn và đánh cá. Tình trạng nóng lên có thể làm giảm nguồn nước và mất đi những đồng cỏ\n",
            "  -> Stance: Support ({'refute': 0.002327292924746871, 'neutral': 0.027496401220560074, 'support': 0.9701762795448303}): | Text: sự thay đổi lớn hơn giữa thời tiết ẩm ướt và khô hạn. Nhiệt độ ấm lên đã tăng cường khả năng giữ độ ẩm của khí quyển, điều này đang gây ra sự biến động lớn hơn về lượng mưa - các nhà nghiên cứu cho biết trong một bài báo được công bố trên tạp chí Science. Ông Steven Sherwood - nhà khoa học tại Trung tâm Nghiên cứu biến đổi khí hậu thuộc Đại học New South Wales, người không tham gia vào nghiên cứu này - cho biết: \"Tình trạng nóng lên toàn cầu tiếp tục diễn ra làm tăng khả năng xảy ra hạn hán và/hoặc lũ\n",
            "  -> Stance: Support ({'refute': 0.0012274438049644232, 'neutral': 0.004618845414370298, 'support': 0.9941536784172058}): | Text: tình trạng thiếu dinh dưỡng ở những khu vực mà con người không thể trồng trọt hay tìm nguồn lương thực cần thiết. Mỗi năm, các yếu tố môi trường đã lấy đi sinh mạng của khoảng 13 triệu người. Những thay đổi về thời tiết đang làm gia tăng dịch bệnh và các hiện tượng thời tiết cực đoan, dẫn đến số người thiệt mạng ngày càng tăng và khiến cho hệ thống y tế không thể theo kịp. Nghèo đói và di dân Biến đổi khí hậu làm gia tăng các yếu tố khiến con người rơi vào đói nghèo. Lũ lụt quét trôi các khu ổ chuột ở đô\n",
            "  -> Stance: Support ({'refute': 0.0003164652443956584, 'neutral': 0.0009834031807258725, 'support': 0.9987001419067383}): | Text: trung bình toàn cầu cũng đạt mức kỷ lục trong 12 năm liên tiếp, hiện cao khoảng 101,4 mm so với mức trung bình của năm 1993. Hiện tượng thời tiết cực đoan Sự ấm lên của nhiệt độ bề mặt trái đất đang góp phần làm gia tăng tần suất và cường độ của các hiện tượng thời tiết cực đoan như nắng nóng, hạn hán, lũ lụt, bão lớn... Nghiên cứu của IPCC cho thấy rằng lượng mưa toàn cầu đã gia tăng trung bình khoảng 1% mỗi thập kỷ, từ 10-20% trong 100 năm qua, nhưng sự phân bố lượng mưa lại không đồng đều. Một số khu\n",
            "  -> Stance: Neutral ({'refute': 0.0030858905520290136, 'neutral': 0.7913430333137512, 'support': 0.20557105541229248}): | Text: tồi tệ nhất 40 năm, khiến 1,2 triệu người dân ở Somalia mất chỗ ở. Biến đổi khí hậu làm hạn hán kiểu này nhiều khả năng xảy ra hơn ít nhất 100 lần, theo WWA. Hiện tượng ấm lên do con người gây ra cũng là nguyên nhân chính phía sau đợt hạn hán nặng nề nhất ở rừng mưa Amazon trong nửa thế kỷ, xảy ra vào nửa cuối năm 2023. 4. Cháy rừng Những đám cháy xảy ra trong tự nhiên ở nhiều nơi trên thế giới. Rất khó biết liệu biến đổi khí hậu có làm cháy rừng tồi tệ hơn không bởi nhiều yếu tố khác cũng góp phần như\n",
            "\n",
            "--- Phân loại lập trường cho claim: 'Nhiệt độ toàn cầu đã tăng 1,1°C trong 100 năm qua.' ---\n",
            "  -> Stance: Neutral ({'refute': 0.3276432156562805, 'neutral': 0.47004708647727966, 'support': 0.20230969786643982}): | Text: Khí hậu toàn cầu biến đổi thế nào trong 100 năm qua. Nhiệt độ toàn cầu tăng Theo NASA, trong 100 năm qua , nhiệt độ toàn cầu đã tăng khoảng 1,1-1,2 độ C (2 độ F) so với mức trung bình trong thời kỳ trước công nghiệp (khoảng năm 1850-1900). Sự tăng nhiệt này không đều và có sự thay đổi theo từng giai đoạn.\n",
            "  -> Stance: Support ({'refute': 0.19048526883125305, 'neutral': 0.028782133013010025, 'support': 0.7807326316833496}): | Text: ra nhanh hơn. Biểu hiện của hiện tượng này bao gồm băng tan, mực nước biển dâng, nhiệt độ toàn cầu tăng, gây ra thời tiết cực đoan... Nhiệt độ toàn cầu tăng Theo NASA, trong 100 năm qua, nhiệt độ toàn cầu đã tăng khoảng 1,1-1,2 độ C (2 độ F) so với mức trung bình trong thời kỳ trước công nghiệp (khoảng năm 1850-1900). Sự tăng nhiệt này không đều và có sự thay đổi theo từng giai đoạn. Từ năm 1900 đến 1970, sự gia tăng trung bình của nhiệt độ toàn cầu ước tính khoảng 0,2-0,3 độ C. Trong giai đoạn này, nhiệt\n",
            "  -> Stance: Refute ({'refute': 0.731618344783783, 'neutral': 0.10845255106687546, 'support': 0.1599290668964386}): | Text: độ nóng lên đang ảnh hưởng đến Trái đất như thế nào? Hiện thế giới đã nóng lên khoảng 1,1°C so với mức thời kỳ tiền công nghiệp. Mỗi thập kỷ trong bốn thập kỷ qua đều nóng hơn bất kỳ thập kỷ nào kể từ năm 1850. Nhà khoa học khí hậu Daniela Jacob, Trung tâm Khí hậu Đức cho biết: “Chúng ta chưa bao giờ có hiện tượng trái đất nóng lên như vậy chỉ trong vài thập kỷ”. \"Nửa độ có nghĩa là thời tiết khắc nghiệt hơn nhiều và nó có thể thường xuyên hơn, dữ dội hơn hoặc thời gian kéo dài\". Chỉ trong năm nay, những\n",
            "  -> Stance: Neutral ({'refute': 0.004190084990113974, 'neutral': 0.9906176924705505, 'support': 0.005192165728658438}): | Text: VnExpress Quá trình Trái Đất rực nóng trong 100 năm qua - Báo VnExpress. Cơ quan Hàng không Vũ trụ Mỹ (NASA) đầu tháng 6 công bố đồ họa mô tả xu hướng nóng lên toàn cầu trong giai đoạn 1880-2015, theo Telegraph. Đồ họa cho thấy trong hơn 100 năm qua, nhiệt độ trên Trái Đất đã thay đổi từ màu xanh lam biểu thị cho mức nhiệt lạnh hơn trung bình cho đến màu cam rực nóng trên toàn cầu, thể hiện nhiệt độ ấm hơn mức trung bình. Trái Đất xuất hiện với phần lớn là màu xanh lam trong giai đoạn đầu của thế kỷ 20.\n",
            "  -> Stance: Support ({'refute': 0.4021055996417999, 'neutral': 0.040325768291950226, 'support': 0.5575685501098633}): | Text: khoảng 0,2-0,3 độ C. Trong giai đoạn này, nhiệt độ tăng chậm hơn so với những thập kỷ sau mặc dù các hoạt động công nghiệp đã bắt đầu phát thải lượng lớn khí nhà kính. Những năm 1970 - 2010, tốc độ tăng nhiệt trở nên nhanh hơn. Theo dữ liệu của NASA và NOAA, nhiệt độ trung bình toàn cầu trong thời gian này tăng thêm khoảng 0,7 độ C. Giai đoạn 2010 đến nay là những năm có nhiệt độ cao nhất trong lịch sử hiện đại. Cụ thể, năm 2016 và 2020 là 2 năm nóng kỷ lục khi nhiệt độ toàn cầu cao hơn khoảng 1,2 độ C so\n",
            "  -> Stance: Support ({'refute': 0.12996670603752136, 'neutral': 0.3996541202068329, 'support': 0.47037920355796814}): | Text: 20 cm từ năm 1901 đến 2018 và dự đoán có thể tăng thêm từ 0,3 đến 1,1 mét vào cuối thế kỷ 21 nếu không có biện pháp kiềm chế khí thải. Tuy nhiên, tốc độ tăng này diễn ra không đều ở một vài giai đoạn. Trong 50 năm qua, đại dương đã hấp thụ hơn 90% năng lượng dư thừa mà khí nhà kính và các yếu tố khác giữ lại trong trái đất. Nhiệt độ của đại dương, được đo từ bề mặt cho đến độ sâu 2.000 m tiếp tục tăng và đạt mức cao kỷ lục vào năm 2023. Đồng thời, mực nước biển trung bình toàn cầu cũng đạt mức kỷ lục trong\n",
            "  -> Stance: Neutral ({'refute': 0.12315519899129868, 'neutral': 0.8421717286109924, 'support': 0.03467310592532158}): | Text: trung bình toàn cầu cũng đạt mức kỷ lục trong 12 năm liên tiếp, hiện cao khoảng 101,4 mm so với mức trung bình của năm 1993. Hiện tượng thời tiết cực đoan Sự ấm lên của nhiệt độ bề mặt trái đất đang góp phần làm gia tăng tần suất và cường độ của các hiện tượng thời tiết cực đoan như nắng nóng, hạn hán, lũ lụt, bão lớn... Nghiên cứu của IPCC cho thấy rằng lượng mưa toàn cầu đã gia tăng trung bình khoảng 1% mỗi thập kỷ, từ 10-20% trong 100 năm qua, nhưng sự phân bố lượng mưa lại không đồng đều. Một số khu\n",
            "  -> Stance: Neutral ({'refute': 0.07706407457590103, 'neutral': 0.9169617295265198, 'support': 0.005974248051643372}): | Text: sẽ vĩnh viễn vượt quá mức 1,5°C đề ra trong Hiệp định Paris về biến đổi khí hậu. Tuy nhiên, WMO đang gióng lên hồi chuông cảnh báo rằng nhiệt độ Trái đất sẽ tạm thời \"vi phạm\" mức 1,5°C với tần suất ngày càng tăng. Ông Petteri Taalas nêu rõ hiện tượng El Nino nóng lên dự kiến sẽ gia tăng trong những tháng tới và điều này kết hợp với biến đổi khí hậu do con người gây ra sẽ đẩy nhiệt độ toàn cầu lên một mức chưa từng có. Điều này sẽ có những tác động sâu rộng đối với sức khỏe, an ninh lương thực, quản lý\n",
            "  -> Stance: Neutral ({'refute': 0.315163791179657, 'neutral': 0.6653332710266113, 'support': 0.019502999261021614}): | Text: WMO cho rằng nhiệt độ bề mặt trung bình toàn cầu hàng năm cho mỗi năm từ năm 2023 đến năm 2027 được dự đoán là cao hơn từ 1,1°C đến 1,8°C so với mức trung bình của những năm 1850-1900. WMO cho rằng có tới 98%, một trong năm 5 tới sẽ là năm nóng kỷ lục, vượt cả năm 2016 - thời điểm nhiệt độ toàn cầu tăng thêm 1,3 độ C.\n",
            "  -> Stance: Support ({'refute': 0.14296405017375946, 'neutral': 0.046621669083833694, 'support': 0.8104143142700195}): | Text: khi nhiệt độ toàn cầu cao hơn khoảng 1,2 độ C so với thời kỳ tiền công nghiệp. Mức tăng nhiệt độ không đều trên toàn cầu, Bắc Cực là nơi đã trải qua sự gia tăng nhiệt độ lớn nhất, ghi nhận sự ấm lên 2-3 độ C so với trung bình một số khu vực. Mực nước biển dâng Nóng lên toàn cầu gây ra hiện tượng tan chảy băng ở các vùng cực và sông băng, làm mực nước biển dâng lên. Theo báo cáo của IPCC (Ban liên chính phủ về biến đổi khí hậu), mực nước biển đã tăng khoảng 20 cm từ năm 1901 đến 2018 và dự đoán có thể tăng\n"
          ]
        }
      ],
      "source": [
        "results_with_stance = {}\n",
        "\n",
        "for claim, top_evidence in final_evidence_by_claim.items():\n",
        "    evidence_with_stance = []\n",
        "    print(f\"\\n--- Phân loại lập trường cho claim: '{claim}' ---\")\n",
        "\n",
        "    for score, chunk in top_evidence:\n",
        "        stance_result = classify_stance(claim, chunk['text'])\n",
        "\n",
        "        evidence_with_stance.append({\n",
        "            'text': chunk['text'],\n",
        "            'link': chunk['link'],\n",
        "            'rerank_score': score,\n",
        "            'stance': stance_result['stance'],\n",
        "            'stance_score': stance_result['score'],\n",
        "            'stance_scores': stance_result['scores_all']\n",
        "        })\n",
        "        print(f\"  -> Stance: {stance_result['stance']} ({stance_result['scores_all']}): | Text: {chunk['text']}\")\n",
        "\n",
        "    results_with_stance[claim] = evidence_with_stance"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "iQPAXW8skFwV",
      "metadata": {
        "id": "iQPAXW8skFwV"
      },
      "source": [
        "## **V. Output**"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 31,
      "id": "9uWkAS27vOiz",
      "metadata": {
        "id": "9uWkAS27vOiz"
      },
      "outputs": [],
      "source": [
        "from collections import Counter\n",
        "import numpy as np\n",
        "import os\n",
        "from azure.ai.inference import ChatCompletionsClient\n",
        "from azure.ai.inference.models import SystemMessage, UserMessage\n",
        "from azure.core.credentials import AzureKeyCredential"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "XRmR7DoZvK8E",
      "metadata": {
        "id": "XRmR7DoZvK8E"
      },
      "source": [
        "### 1. HÀM TỔNG HỢP KẾT LUẬN (VERDICT)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 32,
      "id": "lil5l1E9amjz",
      "metadata": {
        "id": "lil5l1E9amjz"
      },
      "outputs": [],
      "source": [
        "def aggregate_verdict_weighted(evidence_with_stance):\n",
        "    \"\"\"\n",
        "    Tổng hợp verdict (True / False / Unknown) dựa trên stance_scores có trọng số.\n",
        "    \"\"\"\n",
        "    if not evidence_with_stance:\n",
        "        return {\"verdict\": \"Unknown\", \"confidence\": 0.0}\n",
        "\n",
        "    weights = {\"Support\": 0.0, \"Refute\": 0.0, \"Neutral\": 0.0}\n",
        "    total_weight = 0.0\n",
        "\n",
        "    for e in evidence_with_stance:\n",
        "        s = e[\"stance_scores\"]\n",
        "        rel = e.get(\"rerank_score\", 1.0)  # nếu có rerank_score thì dùng làm trọng số phụ\n",
        "        weights[\"Support\"] += s[\"support\"] * rel\n",
        "        weights[\"Refute\"] += s[\"refute\"] * rel\n",
        "        weights[\"Neutral\"] += s[\"neutral\"] * rel\n",
        "        total_weight += rel\n",
        "\n",
        "    # Chuẩn hóa lại tỷ lệ\n",
        "    ratio = {k: v / total_weight for k, v in weights.items()}\n",
        "\n",
        "    if ratio[\"Support\"] > 0.5:\n",
        "        verdict = \"True\"\n",
        "    elif ratio[\"Refute\"] > 0.5:\n",
        "        verdict = \"False\"\n",
        "    else:\n",
        "        verdict = \"Unknown\"\n",
        "\n",
        "    confidence = max(ratio.values())\n",
        "    return {\"verdict\": verdict, \"confidence\": confidence, \"stance_ratio\": ratio}"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "0wD8ptjDvkPN",
      "metadata": {
        "id": "0wD8ptjDvkPN"
      },
      "source": [
        "### 2. HÀM SINH GIẢI THÍCH (JUSTIFICATION)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 33,
      "id": "nRmnXAp-viUr",
      "metadata": {
        "id": "nRmnXAp-viUr"
      },
      "outputs": [],
      "source": [
        "# Cấu hình Azure LLM (GPT-4o-mini)\n",
        "endpoint = \"https://models.github.ai/inference\"\n",
        "model = \"openai/gpt-4o-mini\"\n",
        "token = os.environ[\"GITHUB_TOKEN\"]\n",
        "\n",
        "client = ChatCompletionsClient(\n",
        "    endpoint=endpoint,\n",
        "    credential=AzureKeyCredential(token)\n",
        ")\n",
        "\n",
        "def explain_factcheck_with_best_evidence(claim, verdict, best_evidence, stance_ratio):\n",
        "    prompt = f\"\"\"\n",
        "Bạn là trợ lý fact-check trung lập và chính xác.\n",
        "Dưới đây là thông tin hệ thống đã thu thập:\n",
        "\n",
        "Claim: \"{claim}\"\n",
        "System verdict (tổng hợp): {verdict}\n",
        "Stance ratio (tổng hợp): {stance_ratio}\n",
        "\n",
        "Best evidence (đã chọn):\n",
        "\"{best_evidence['text']}\"\n",
        "Nguồn: {best_evidence.get('link','(no link)')}\n",
        "\n",
        "YÊU CẦU (bắt buộc):\n",
        "- Dựa vào 'System verdict' và 'Stance ratio' khi viết. KHÔNG được mâu thuẫn với verdict đã cho.\n",
        "- Nếu best evidence ủng hộ nhưng verdict là Unknown, hãy viết theo cấu trúc:\n",
        "  \"[Nhận định]: (True/False/Unknown)\"\n",
        "  \"[Giải thích]: Giải thích ngắn (2 câu). Nếu có mâu thuẫn giữa best evidence và verdict, nêu rõ: 'Mặc dù một bằng chứng mạnh cho thấy..., tổng thể bằng chứng hiện nay vẫn...'\"\n",
        "\n",
        "Viết tiếng Việt, 2-3 câu, trung lập và rõ ràng.\n",
        "\"\"\"\n",
        "    response = client.complete(\n",
        "        messages=[\n",
        "            SystemMessage(\"Bạn là trợ lý fact-check chuyên nghiệp, không mâu thuẫn với verdict đã cho.\"),\n",
        "            UserMessage(prompt)\n",
        "        ],\n",
        "        model=model,\n",
        "        temperature=0.2\n",
        "    )\n",
        "    return response.choices[0].message.content.strip()"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "pSgDqMuDvt8T",
      "metadata": {
        "id": "pSgDqMuDvt8T"
      },
      "source": [
        "### 3. SINH KẾT LUẬN & IN KẾT QUẢ"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 34,
      "id": "MABYca6Lvn--",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "MABYca6Lvn--",
        "outputId": "3588f225-ec2b-44ce-92cd-62a91551d50f"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "================================================================================\n",
            "Claim: Biến đổi khí hậu đang làm thời tiết cực đoan hơn.\n",
            "→ Verdict: True (Confidence: 0.87)\n",
            "→ Stance ratio: {'Support': np.float32(0.86512274), 'Refute': np.float32(0.0023346895), 'Neutral': np.float32(0.13254265)}\n",
            "→ Best Evidence (score=1.00):\n",
            "sơ tán. Tổng Thư ký WMO Celeste Saulo nêu rõ, các hình thái thời tiết cực đoan do biến đổi khí hậu ngày càng gia tăng và đáng báo động, khởi nguồn từ các hoạt động xâm hại thiên nhiên của con người. Ông kêu gọi thế giới nỗ lực hơn nữa để giảm phát thải khí nhà kính, hạn chế sự nóng lên toàn cầu, qua...\n",
            "[Source: https://nhandan.vn/bao-dong-ve-cac-hinh-thai-khi-hau-cuc-doan-post792907.html]\n",
            "→ Giải thích kiểm chứng:\n",
            "[Nhận định]: True  \n",
            "[Giải thích]: Bằng chứng cho thấy biến đổi khí hậu đang làm gia tăng các hình thái thời tiết cực đoan, như được nêu bởi Tổng Thư ký WMO. Tổng thể bằng chứng hiện nay hỗ trợ cho tuyên bố rằng biến đổi khí hậu có liên quan đến sự gia tăng tần suất và cường độ của các hiện tượng thời tiết cực đoan.\n",
            "\n",
            "================================================================================\n",
            "Claim: Nhiệt độ toàn cầu đã tăng 1,1°C trong 100 năm qua.\n",
            "→ Verdict: Unknown (Confidence: 0.44)\n",
            "→ Stance ratio: {'Support': np.float32(0.30232018), 'Refute': np.float32(0.2552713), 'Neutral': np.float32(0.44240847)}\n",
            "→ Best Evidence (score=0.99):\n",
            "VnExpress Quá trình Trái Đất rực nóng trong 100 năm qua - Báo VnExpress. Cơ quan Hàng không Vũ trụ Mỹ (NASA) đầu tháng 6 công bố đồ họa mô tả xu hướng nóng lên toàn cầu trong giai đoạn 1880-2015, theo Telegraph. Đồ họa cho thấy trong hơn 100 năm qua, nhiệt độ trên Trái Đất đã thay đổi từ màu xanh la...\n",
            "[Source: https://vnexpress.net/qua-trinh-trai-dat-ruc-nong-trong-100-nam-qua-3601999.html]\n",
            "→ Giải thích kiểm chứng:\n",
            "[Nhận định]: Unknown  \n",
            "[Giải thích]: Mặc dù một bằng chứng mạnh cho thấy nhiệt độ toàn cầu đã tăng trong hơn 100 năm qua, tổng thể bằng chứng hiện nay vẫn chưa đủ để xác định chính xác mức tăng là 1,1°C. Do đó, cần thêm thông tin và nghiên cứu để có kết luận rõ ràng hơn.\n"
          ]
        }
      ],
      "source": [
        "final_results = {}\n",
        "\n",
        "for claim, evidences in results_with_stance.items():\n",
        "    if not evidences:\n",
        "        continue\n",
        "\n",
        "    # Tính verdict có trọng số\n",
        "    agg = aggregate_verdict_weighted(evidences)\n",
        "\n",
        "    # Chọn bằng chứng mạnh nhất (score cao nhất)\n",
        "    best_evidence = max(evidences, key=lambda e: e[\"stance_score\"])\n",
        "\n",
        "    # Gọi LLM sinh phần giải thích (theo hướng A: tuân thủ verdict)\n",
        "    justification = explain_factcheck_with_best_evidence(\n",
        "        claim,\n",
        "        agg[\"verdict\"],\n",
        "        best_evidence,\n",
        "        agg[\"stance_ratio\"]\n",
        "    )\n",
        "\n",
        "    # Lưu kết quả\n",
        "    final_results[claim] = {\n",
        "        \"claim\": claim,\n",
        "        \"verdict\": agg[\"verdict\"],\n",
        "        \"confidence\": agg[\"confidence\"],\n",
        "        \"stance_ratio\": agg[\"stance_ratio\"],\n",
        "        \"best_evidence\": best_evidence,\n",
        "        \"justification\": justification\n",
        "    }\n",
        "\n",
        "    # In ra cho người dùng xem\n",
        "    print(\"\\n\" + \"=\"*80)\n",
        "    print(f\"Claim: {claim}\")\n",
        "    print(f\"→ Verdict: {agg['verdict']} (Confidence: {agg['confidence']:.2f})\")\n",
        "    print(f\"→ Stance ratio: {agg['stance_ratio']}\")\n",
        "    print(f\"→ Best Evidence (score={best_evidence['stance_score']:.2f}):\")\n",
        "    print(f\"{best_evidence['text'][:300]}...\")\n",
        "    print(f\"[Source: {best_evidence['link']}]\")\n",
        "    print(\"→ Giải thích kiểm chứng:\")\n",
        "    print(justification)"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## **Test Module 4 & 5**\n",
        "\n",
        "Phần này kiểm thử module 4 và 5 với dữ liệu có sẵn."
      ],
      "metadata": {
        "id": "pbAvGqf8Pohv"
      },
      "id": "pbAvGqf8Pohv"
    },
    {
      "cell_type": "code",
      "source": [
        "# Import thư viện cần thiết\n",
        "from datasets import load_dataset\n",
        "from tqdm import tqdm\n",
        "import json\n",
        "from sklearn.metrics import classification_report, confusion_matrix\n",
        "import matplotlib.pyplot as plt\n",
        "import seaborn as sns\n",
        "import random"
      ],
      "metadata": {
        "id": "loR1nDAxQZSD"
      },
      "id": "loR1nDAxQZSD",
      "execution_count": 35,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "### 1. Tải và xử lý dữ liệu"
      ],
      "metadata": {
        "id": "qj5AMtrvQoP0"
      },
      "id": "qj5AMtrvQoP0"
    },
    {
      "cell_type": "code",
      "source": [
        "ds = load_dataset(\"tranthaihoa/vifactcheck\")\n",
        "\n",
        "# Map nhãn số (0, 1, 2) sang chuỗi (Support, Refute, Neutral)\n",
        "label_map = {\n",
        "    0: \"Support\",\n",
        "    1: \"Refute\",\n",
        "    2: \"Neutral\"\n",
        "}\n",
        "\n",
        "ds = ds.map(lambda x: {\"label\": label_map.get(x[\"labels\"], x[\"labels\"])})"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 337,
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      "execution_count": 36,
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        {
          "output_type": "display_data",
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            "text/plain": [
              "README.md:   0%|          | 0.00/853 [00:00<?, ?B/s]"
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          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
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      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "### 2. Chạy hệ thống fact-check (Module 4 & 5)"
      ],
      "metadata": {
        "id": "lYHtzhd3RMfi"
      },
      "id": "lYHtzhd3RMfi"
    },
    {
      "cell_type": "code",
      "source": [
        "results = []\n",
        "\n",
        "for sample in tqdm(ds[\"test\"], desc=\"Đánh giá trên test set\"):\n",
        "    claim = sample[\"Statement\"]\n",
        "    evidence = sample[\"Evidence\"]\n",
        "    gold_label = sample[\"label\"]\n",
        "\n",
        "    # --- Hệ thống dự đoán stance ---\n",
        "    stance_pred = classify_stance(claim, evidence)\n",
        "    system_pred = stance_pred[\"stance\"]\n",
        "\n",
        "    results.append({\n",
        "        \"claim\": claim,\n",
        "        \"evidence\": evidence,\n",
        "        \"gold_label\": gold_label,\n",
        "        \"system_pred\": system_pred,\n",
        "        \"stance_score\": stance_pred[\"score\"]\n",
        "    })"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "4ajoyQjFRRPg",
        "outputId": "39674a16-e551-48ef-90d5-2931c75f7229"
      },
      "id": "4ajoyQjFRRPg",
      "execution_count": 37,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "Đánh giá trên test set: 100%|██████████| 1447/1447 [23:41<00:00,  1.02it/s]\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "### 3. Đánh giá độ chính xác"
      ],
      "metadata": {
        "id": "GsyHkaDORU7F"
      },
      "id": "GsyHkaDORU7F"
    },
    {
      "cell_type": "code",
      "source": [
        "y_true = [r[\"gold_label\"] for r in results]\n",
        "y_pred = [r[\"system_pred\"] for r in results]\n",
        "\n",
        "print(\"\\nBáo cáo đánh giá mô hình (Fact-Check Dataset Match):\")\n",
        "print(classification_report(y_true, y_pred, digits=3))\n",
        "\n",
        "# --- Vẽ confusion matrix ---\n",
        "cm = confusion_matrix(y_true, y_pred, labels=[\"Support\", \"Refute\", \"Neutral\"])\n",
        "plt.figure(figsize=(6,5))\n",
        "sns.heatmap(cm, annot=True, fmt=\"d\", cmap=\"Blues\",\n",
        "            xticklabels=[\"Support\", \"Refute\", \"Neutral\"],\n",
        "            yticklabels=[\"Support\", \"Refute\", \"Neutral\"])\n",
        "plt.xlabel(\"Dự đoán của hệ thống\")\n",
        "plt.ylabel(\"Nhãn thật (Ground Truth)\")\n",
        "plt.title(\"Confusion Matrix - FactCheck Benchmark\")\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 697
        },
        "id": "ihXn_tzCRW80",
        "outputId": "ef6e15de-5d49-47f2-ec59-5232d388d220"
      },
      "id": "ihXn_tzCRW80",
      "execution_count": 39,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "Báo cáo đánh giá mô hình (Fact-Check Dataset Match):\n",
            "              precision    recall  f1-score   support\n",
            "\n",
            "     Neutral      0.826     0.864     0.844       471\n",
            "      Refute      0.894     0.829     0.860       468\n",
            "     Support      0.825     0.844     0.835       508\n",
            "\n",
            "    accuracy                          0.846      1447\n",
            "   macro avg      0.848     0.846     0.846      1447\n",
            "weighted avg      0.848     0.846     0.846      1447\n",
            "\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 600x500 with 2 Axes>"
            ],
            "image/png": 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