Notebook for setting gallery dates

pandas/gallery_dates.ipynb

@@ -0,0 +1,102 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pandas as pd\n",
+    "import dotenv\n",
+    "import os\n",
+    "from libraries.client_stashapp import get_stashapp_client\n",
+    "from libraries.StashDbClient import StashDbClient\n",
+    "\n",
+    "dotenv.load_dotenv()\n",
+    "\n",
+    "stash = get_stashapp_client()\n",
+    "\n",
+    "stashbox_client = StashDbClient(\n",
+    "    os.getenv(\"STASHDB_ENDPOINT\"),\n",
+    "    os.getenv(\"STASHDB_API_KEY\"),\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "galleries = stash.find_galleries()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df_galleries = pd.DataFrame(galleries)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Filter galleries with a single file\n",
+    "df_single_file_galleries = df_galleries[df_galleries['files'].apply(lambda x: len(x) == 1)].copy()\n",
+    "\n",
+    "# Extract basename of the single file\n",
+    "df_single_file_galleries.loc[:, 'file_basename'] = df_single_file_galleries['files'].apply(lambda x: os.path.basename(x[0]['basename']))\n",
+    "\n",
+    "# Reset index for cleaner output\n",
+    "df_single_file_galleries = df_single_file_galleries.reset_index(drop=True)\n",
+    "\n",
+    "# Select only the specified columns\n",
+    "df_single_file_galleries = df_single_file_galleries[['id', 'date', 'title', 'file_basename']]\n",
+    "\n",
+    "# Parse date from file_basename and create a new column\n",
+    "df_single_file_galleries['parsed_date'] = df_single_file_galleries['file_basename'].str.extract(r'(\\d{4}-\\d{2}-\\d{2})')[0]\n",
+    "\n",
+    "df_single_file_galleries = df_single_file_galleries[(df_single_file_galleries['date'].isna()) & ((df_single_file_galleries['parsed_date'].notna()) & (df_single_file_galleries['parsed_date'] != \"0001-01-01\"))]\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "for index, row in df_single_file_galleries.iterrows():\n",
+    "    stash.update_gallery({\n",
+    "        \"id\": row[\"id\"],\n",
+    "        \"date\": row[\"parsed_date\"]\n",
+    "    })"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "pandas",
+   "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": "3.12.1"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}