Upload make_txt_files_from_parquet.ipynb

make_txt_files_from_parquet.ipynb

@@ -727,7 +727,7 @@
         "print(\"\\nFirst 3 rows:\")\n",
         "display(df.head(3))"
       ],
-      "execution_count": 1,
+      "execution_count": null,
       "outputs": [
         {
           "output_type": "stream",
@@ -907,6 +907,30 @@
         }
       ]
     },
+    {
+      "cell_type": "code",
+      "source": [
+        "from google.colab import drive\n",
+        "drive.mount('/content/drive')"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "8zNty4Fjmz8J",
+        "outputId": "4976483f-ea1c-4fd4-d9f1-1085b2a200bb"
+      },
+      "execution_count": 1,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stdout",
+          "text": [
+            "Mounted at /content/drive\n"
+          ]
+        }
+      ]
+    },
     {
       "cell_type": "code",
       "metadata": {
@@ -981,7 +1005,7 @@
         "\n",
         "print(f\"\\nProcessing completed. Created {len(txt_files_created)} text files and zipped them into {zip_path}\")"
       ],
-      "execution_count": 2,
+      "execution_count": null,
       "outputs": [
         {
           "output_type": "stream",
@@ -1118,7 +1142,7 @@
         ")\n",
         "print(f\"Downloaded file to: {file_path}\")"
       ],
-      "execution_count": 1,
+      "execution_count": null,
       "outputs": [
         {
           "output_type": "display_data",
@@ -1215,6 +1239,122 @@
       ],
       "execution_count": null,
       "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "metadata": {
+        "id": "ff7cb87e",
+        "outputId": "f84071d5-fe27-4238-be22-0ff0c962f5a9",
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        }
+      },
+      "source": [
+        "import os\n",
+        "import re\n",
+        "import glob\n",
+        "import zipfile\n",
+        "import shutil\n",
+        "import pandas as pd\n",
+        "\n",
+        "# Define the input character files\n",
+        "character_files = [\n",
+        "    \"/content/drive/MyDrive/characters/callie__splatoon_05aa14a2.parquet\",\n",
+        "    \"/content/drive/MyDrive/characters/coco_bandicoot_c128c24c.parquet\",\n",
+        "    \"/content/drive/MyDrive/characters/holo__spice_and_wolf_86b4e8a6.parquet\",\n",
+        "    \"/content/drive/MyDrive/characters/loona__helluva_boss_d778e3d3.parquet\",\n",
+        "    \"/content/drive/MyDrive/characters/mrs__katswell_523319ca.parquet\",\n",
+        "    \"/content/drive/MyDrive/characters/nanachi_a8234c45.parquet\",\n",
+        "    \"/content/drive/MyDrive/characters/nicole_watterson_6c3b3721.parquet\",\n",
+        "    \"/content/drive/MyDrive/characters/rumi_usagiyama_42e3daa7.parquet\",\n",
+        "    \"/content/drive/MyDrive/characters/samus_aran_8ffbf78e.parquet\",\n",
+        "    \"/content/drive/MyDrive/characters/shantae_d86aab10.parquet\",\n",
+        "    \"/content/drive/MyDrive/characters/sybil__pseudoregalia_e45e2e2c.parquet\",\n",
+        "    \"/content/drive/MyDrive/characters/tawna_bandicoot_5e823dce.parquet\"\n",
+        "]\n",
+        "\n",
+        "# Destination folder on Drive\n",
+        "drive_output_dir = \"/content/drive/MyDrive/characters\"\n",
+        "os.makedirs(drive_output_dir, exist_ok=True)\n",
+        "\n",
+        "# Pattern for cleaning bad symbols\n",
+        "allowed_pattern = re.compile(r'[^a-zA-Z0-9.!_?|,\\s]')\n",
+        "\n",
+        "for file_path in character_files:\n",
+        "    if not os.path.exists(file_path):\n",
+        "        print(f\"File not found: {file_path}\")\n",
+        "        continue\n",
+        "\n",
+        "    # Get clean character name by stripping hashcode\n",
+        "    # e.g., 'callie__splatoon_05aa14a2' -> 'callie__splatoon'\n",
+        "    base_name = os.path.basename(file_path).replace(\".parquet\", \"\")\n",
+        "    char_name = re.sub(r'_[a-f0-9]{8}$', '', base_name)\n",
+        "\n",
+        "    print(f\"Processing: {char_name}\")\n",
+        "\n",
+        "    # Temporary directory to store txt files for this character\n",
+        "    temp_char_dir = f\"/content/temp_{char_name}\"\n",
+        "    os.makedirs(temp_char_dir, exist_ok=True)\n",
+        "\n",
+        "    df = pd.read_parquet(file_path)\n",
+        "    txt_files_created = []\n",
+        "\n",
+        "    for col in df.columns:\n",
+        "        # 'col' represents the rating (safe, questionable, explicit)\n",
+        "        descriptions = df[col].dropna().astype(str).str.strip().tolist()\n",
+        "\n",
+        "        cleaned_descriptions = []\n",
+        "        for d in descriptions:\n",
+        "            cleaned = allowed_pattern.sub('', d).strip()\n",
+        "            if cleaned:\n",
+        "                cleaned_descriptions.append(cleaned)\n",
+        "\n",
+        "        # Chunk into maximum of 300 descriptions\n",
+        "        chunk_size = 300\n",
+        "        for idx, i in enumerate(range(0, len(cleaned_descriptions), chunk_size)):\n",
+        "            chunk = cleaned_descriptions[i:i + chunk_size]\n",
+        "            formatted_content = \"{\" + \"|\".join(chunk) + \"}\"\n",
+        "\n",
+        "            # File name starts with rating, then character name, no hashcode\n",
+        "            txt_filename = f\"{col}_{char_name}_part{idx+1}.txt\"\n",
+        "            txt_filepath = os.path.join(temp_char_dir, txt_filename)\n",
+        "\n",
+        "            with open(txt_filepath, \"w\", encoding=\"utf-8\") as f:\n",
+        "                f.write(formatted_content)\n",
+        "            txt_files_created.append(txt_filepath)\n",
+        "\n",
+        "    if txt_files_created:\n",
+        "        # Create zip file for this character and upload directly to Drive\n",
+        "        zip_filename = f\"{char_name}.zip\"\n",
+        "        zip_filepath = os.path.join(drive_output_dir, zip_filename)\n",
+        "\n",
+        "        with zipfile.ZipFile(zip_filepath, 'w', zipfile.ZIP_DEFLATED) as zipf:\n",
+        "            for file in txt_files_created:\n",
+        "                zipf.write(file, os.path.basename(file))\n",
+        "\n",
+        "        print(f\"Created and saved to Drive: {zip_filepath} ({len(txt_files_created)} text files)\")\n",
+        "\n",
+        "    # Clean up temporary directory\n",
+        "    shutil.rmtree(temp_char_dir)\n",
+        "\n",
+        "print(\"\\nAll characters processed successfully!\")"
+      ],
+      "execution_count": null,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stdout",
+          "text": [
+            "Processing: callie__splatoon\n",
+            "Created and saved to Drive: /content/drive/MyDrive/characters/callie__splatoon.zip (9 text files)\n",
+            "Processing: coco_bandicoot\n",
+            "Created and saved to Drive: /content/drive/MyDrive/characters/coco_bandicoot.zip (42 text files)\n",
+            "Processing: holo__spice_and_wolf\n",
+            "Created and saved to Drive: /content/drive/MyDrive/characters/holo__spice_and_wolf.zip (5 text files)\n",
+            "Processing: loona__helluva_boss\n"
+          ]
+        }
+      ]
     }
   ]
 }