Notebook for cleaning AI tags

pandas/ai_tag_cleanup.ipynb

@@ -0,0 +1,188 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Create Stash app client\n",
+    "\n",
+    "import pandas as pd\n",
+    "import dotenv\n",
+    "\n",
+    "from libraries.client_stashapp import get_stashapp_client\n",
+    "\n",
+    "dotenv.load_dotenv()\n",
+    "\n",
+    "stash = get_stashapp_client()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from dataclasses import dataclass\n",
+    "\n",
+    "\n",
+    "@dataclass\n",
+    "class TagConversion:\n",
+    "    ai_tag: any\n",
+    "    target_tag: any\n",
+    "\n",
+    "tag_conversion = {\n",
+    "    \"Anal Fucking_AI\": \"Anal\",\n",
+    "    \"Ass Penetration_AI\": \"Anal\",\n",
+    "    \"Anal Gape_AI\": \"Anal Gape\",\n",
+    "    \"Ball Licking/Sucking_AI\": \"Ball Licking\",\n",
+    "    \"Blowjob_AI\": \"Blowjob\",\n",
+    "    \"Cumshot_AI\": \"Cumshot\",\n",
+    "    \"Cum on Person_AI\": \"Cumshot\",\n",
+    "    \"Deepthroat_AI\": \"Deepthroat\",\n",
+    "    \"Fingering_AI\": \"Fingering\",\n",
+    "    \"Grabbing Ass_AI\": \"Ass Grabbing\",\n",
+    "    \"Grabbing Boobs_AI\": \"Breast Squeezing\",\n",
+    "    \"Grabbing Hair/Head_AI\": \"Grabbing Hair/Head\",\n",
+    "    \"Handjob_AI\": \"Handjob\",\n",
+    "    \"Kissing_AI\": \"Kissing\",\n",
+    "    \"Licking Penis_AI\": \"Dick Licking\",\n",
+    "    \"Masturbation_AI\": \"Masturbation\",\n",
+    "    \"Pissing_AI\": \"Peeing\",\n",
+    "    \"Pussy Licking_AI\": \"Pussy Licking\",\n",
+    "    \"Pussy Licking (Clearly Visible)_AI\": \"Pussy Licking\",\n",
+    "    \"Pussy Rubbing_AI\": \"Pussy Rubbing\",\n",
+    "    \"Sucking Toy/Dildo_AI\": \"Toy Sucking\",\n",
+    "    \"Undressing_AI\": \"Striptease\",\n",
+    "    \"Vaginal Fucking_AI\": \"Vaginal Sex\",\n",
+    "    \"Vaginal Penetration_AI\": \"Vaginal Penetration\",\n",
+    "    \"Wet (Genitals)_AI\": \"Wet Genitals\"\n",
+    "}\n",
+    "\n",
+    "stash_tag_conversion = {}\n",
+    "\n",
+    "for ai_tag_name in tag_conversion.keys():\n",
+    "    target_tag_name = tag_conversion[ai_tag_name]\n",
+    "\n",
+    "    ai_tag = stash.find_tag(ai_tag_name)\n",
+    "    if not ai_tag:\n",
+    "        raise Exception(\"Could not find tag: \" + ai_tag_name)\n",
+    "    \n",
+    "    target_tag = stash.find_tag(target_tag_name)\n",
+    "    if not target_tag:\n",
+    "        raise Exception(\"Could not find tag: \" + tag_conversion[ai_tag_name])\n",
+    "\n",
+    "    stash_tag_conversion[ai_tag[\"id\"]] = TagConversion(ai_tag, target_tag)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "ai_reviewed_tag = stash.find_tag(\"AI_Reviewed\")\n",
+    "ai_reviewed_tag_id = ai_reviewed_tag[\"id\"]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "scene_id = 18562\n",
+    "\n",
+    "markers = stash.get_scene_markers(scene_id)\n",
+    "ai_markers = [m for m in markers if m[\"title\"].endswith(\"_AI\")]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "for ai_marker in ai_markers:\n",
+    "    marker_ai_tag_id = ai_marker[\"primary_tag\"][\"id\"]\n",
+    "\n",
+    "    if marker_ai_tag_id not in stash_tag_conversion:\n",
+    "        print(\"Could find conversion for tag: \" + ai_marker[\"primary_tag\"][\"name\"])\n",
+    "        continue\n",
+    "\n",
+    "    marker_target_tag = stash_tag_conversion[marker_ai_tag_id].target_tag\n",
+    "    if not marker_target_tag:\n",
+    "        print(\"Could not find target tag for: \" + ai_marker[\"primary_tag\"][\"name\"])\n",
+    "        continue\n",
+    "\n",
+    "    update_marker = stash.update_scene_marker({\n",
+    "        \"id\": ai_marker[\"id\"],\n",
+    "        \"scene_id\": ai_marker[\"scene\"][\"id\"],\n",
+    "        \"title\": marker_target_tag[\"name\"],\n",
+    "        \"primary_tag_id\": marker_target_tag[\"id\"],\n",
+    "        \"tag_ids\": []\n",
+    "    })\n",
+    "\n",
+    "scene = stash.find_scene(scene_id)\n",
+    "scene_tags = scene[\"tags\"]\n",
+    "print(\"Existing tags:\")\n",
+    "print([f\"{t[\"id\"]}: {t[\"name\"]}\" for t in scene_tags])\n",
+    "\n",
+    "ai_marker_tags = [m[\"primary_tag\"][\"id\"] for m in ai_markers]\n",
+    "ai_tags = [t for t in scene_tags if t[\"id\"] in ai_marker_tags]\n",
+    "non_ai_tags = [t for t in scene_tags if t[\"id\"] not in ai_marker_tags]\n",
+    "\n",
+    "print(\"AI tags:\")\n",
+    "print([f\"{t[\"id\"]}: {t[\"name\"]}\" for t in ai_tags])\n",
+    "\n",
+    "print(\"Non AI tags:\")\n",
+    "print([f\"{t[\"id\"]}: {t[\"name\"]}\" for t in non_ai_tags])\n",
+    "\n",
+    "non_ai_tags_ids = [t[\"id\"] for t in non_ai_tags]\n",
+    "\n",
+    "update_scene = stash.update_scene({\n",
+    "    \"id\": scene_id,\n",
+    "    \"tag_ids\": non_ai_tags_ids\n",
+    "})"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "scene = stash.find_scene(scene_id)\n",
+    "scene_tags = scene[\"tags\"]\n",
+    "scene_tag_ids = [t[\"id\"] for t in scene_tags] + [ai_reviewed_tag_id]\n",
+    "\n",
+    "update_scene = stash.update_scene({\n",
+    "    \"id\": scene_id,\n",
+    "    \"tag_ids\": scene_tag_ids\n",
+    "})"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "name_of_my_env",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.12.4"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}