{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "5785f631",
   "metadata": {},
   "outputs": [],
   "source": [
    "# https://github.com/suno-ai/glockenspiel/blob/main/suno_analytics/suno_analytics/preference_data_selection.py"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "8c20a2a3",
   "metadata": {},
   "outputs": [],
   "source": [
    "import sys\n",
    "sys.path.insert(0, \"/home/tony/Work/glockenspiel/suno_analytics/\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "ee56c21d",
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import pandas as pd\n",
    "import datetime\n",
    "from snowflake.core import Root\n",
    "from snowflake.snowpark import Session\n",
    "from snowflake.snowpark.functions import col as snow_col, upper, lit\n",
    "from snowflake.snowpark.functions import sum as snow_sum, avg, count, median, mean\n",
    "from snowflake.snowpark.window import Window\n",
    "from snowflake.snowpark.functions import expr\n",
    "\n",
    "CONNECTION_PARAMETERS = {\n",
    "    \"account\": \"fu90569.us-east-2.aws\",\n",
    "    \"user\": \"TONY\",\n",
    "    \"private_key_file\": \"/home/tony/.ssh/rsa_key.p8\",\n",
    "    \"role\": \"ACCOUNTADMIN\",\n",
    "    \"database\": \"SUNO_PROD\",\n",
    "    \"warehouse\": \"SUNO_PROD_LARGE\",  # \"SUNO_PROD_X_SMAL\",\n",
    "    \"schema\": \"PROD\",\n",
    "}\n",
    "snow_session = Session.builder.configs(CONNECTION_PARAMETERS).create()\n",
    "# snow_root = Root(snow_session)\n",
    "# snow_schema = snow_root.databases[\"SUNO_PROD\"].schemas[\"PROD\"]\n",
    "# print(snow_schema.name)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "2c1d19df",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 0) Web paid users\n",
    "web_paid_users_df = (\n",
    "    snow_session.table(\"dim_user\")\n",
    "    .filter(snow_col(\"stripe_customer_id\").is_not_null())  # paid web users\n",
    "    .select(\"user_id\")\n",
    ")\n",
    "\n",
    "# 1) Per-user per-day listen totals\n",
    "per_user_day_df = (\n",
    "    snow_session.table(\"agg_play_info_hourly\")\n",
    "    .join(web_paid_users_df, on=\"user_id\")\n",
    "    .filter(snow_col(\"is_user_song_owner\") == True)  # other people's songs\n",
    "    .group_by(\"user_id\", \"p_date\")\n",
    "    .agg(\n",
    "        snow_sum(snow_col(\"play_duration_sec\")).alias(\"daily_listen_sec\")\n",
    "    )\n",
    ")\n",
    "\n",
    "# 2) Add 99.9th percentile listen time per day\n",
    "window = Window.partition_by(\"p_date\")\n",
    "with_percentile = (\n",
    "    per_user_day_df\n",
    "    .with_column(\n",
    "        \"p999\", expr(\"PERCENTILE_CONT(0.999) WITHIN GROUP (ORDER BY daily_listen_sec) OVER (PARTITION BY p_date)\")\n",
    "    )\n",
    ")\n",
    "\n",
    "# 3) Filter out top 0.1% heavy listeners\n",
    "filtered = with_percentile.filter(snow_col(\"daily_listen_sec\") <= snow_col(\"p999\"))\n",
    "\n",
    "# 4) Aggregate mean, median, and percentiles per day\n",
    "per_day_df = (\n",
    "    filtered\n",
    "    .group_by(\"p_date\")\n",
    "    .agg(\n",
    "        mean(snow_col(\"daily_listen_sec\")).alias(\"trimmed_mean_daily_listen_sec\"),\n",
    "        expr(\"MEDIAN(daily_listen_sec)\").alias(\"trimmed_median_daily_listen_sec\"),\n",
    "        expr(\"PERCENTILE_CONT(0.10) WITHIN GROUP (ORDER BY daily_listen_sec)\").alias(\"p10_daily_listen_sec\"),\n",
    "        expr(\"PERCENTILE_CONT(0.25) WITHIN GROUP (ORDER BY daily_listen_sec)\").alias(\"p25_daily_listen_sec\"),\n",
    "        expr(\"PERCENTILE_CONT(0.75) WITHIN GROUP (ORDER BY daily_listen_sec)\").alias(\"p75_daily_listen_sec\"),\n",
    "        expr(\"PERCENTILE_CONT(0.90) WITHIN GROUP (ORDER BY daily_listen_sec)\").alias(\"p90_daily_listen_sec\"),\n",
    "    )\n",
    "    .order_by(\"p_date\")\n",
    "    .collect_nowait()\n",
    "    .result(result_type=\"pandas\")\n",
    ")\n",
    "\n",
    "# 5) Final formatting and plot\n",
    "per_day_df = per_day_df.iloc[:-1]\n",
    "per_day_df[\"P_DATE\"] = pd.to_datetime(per_day_df[\"P_DATE\"])\n",
    "per_day_df = per_day_df[per_day_df[\"P_DATE\"] >= \"2024-11-01\"]\n",
    "\n",
    "plt.figure(figsize=(10, 4))\n",
    "plt.plot(\n",
    "    per_day_df[\"P_DATE\"],\n",
    "    per_day_df[\"TRIMMED_MEAN_DAILY_LISTEN_SEC\"] / 60,\n",
    "    \".-\",\n",
    "    label=\"Mean\",\n",
    ")\n",
    "plt.plot(\n",
    "    per_day_df[\"P_DATE\"],\n",
    "    per_day_df[\"TRIMMED_MEDIAN_DAILY_LISTEN_SEC\"] / 60,\n",
    "    \".-\",\n",
    "    label=\"Median\",\n",
    ")\n",
    "plt.plot(\n",
    "    per_day_df[\"P_DATE\"],\n",
    "    per_day_df[\"P10_DAILY_LISTEN_SEC\"] / 60,\n",
    "    \".-\",\n",
    "    label=\"10th %ile\",\n",
    ")\n",
    "plt.plot(\n",
    "    per_day_df[\"P_DATE\"],\n",
    "    per_day_df[\"P25_DAILY_LISTEN_SEC\"] / 60,\n",
    "    \".-\",\n",
    "    label=\"25th %ile\",\n",
    ")\n",
    "plt.plot(\n",
    "    per_day_df[\"P_DATE\"],\n",
    "    per_day_df[\"P75_DAILY_LISTEN_SEC\"] / 60,\n",
    "    \".-\",\n",
    "    label=\"75th %ile\",\n",
    ")\n",
    "plt.plot(\n",
    "    per_day_df[\"P_DATE\"],\n",
    "    per_day_df[\"P90_DAILY_LISTEN_SEC\"] / 60,\n",
    "    \".-\",\n",
    "    label=\"90th %ile\",\n",
    ")\n",
    "plt.xlabel(\"Date\")\n",
    "plt.ylabel(\"Listening time (mins)\")\n",
    "plt.title(\"Daily Listening Time - Mean, Median, and Percentiles (Active Paid Web Users, Top 0.1% Removed)\")\n",
    "plt.xticks(rotation=45)\n",
    "plt.legend()\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "ca47f098",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>USER_ID</th>\n",
       "      <th>P_DATE</th>\n",
       "      <th>DAILY_LISTEN_SEC</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>62253205</td>\n",
       "      <td>2024-12-20</td>\n",
       "      <td>11522.150089</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>48690073</td>\n",
       "      <td>2024-12-20</td>\n",
       "      <td>2297.103408</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>55343154</td>\n",
       "      <td>2024-12-20</td>\n",
       "      <td>13281.021037</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>8435</td>\n",
       "      <td>2024-12-20</td>\n",
       "      <td>11237.205622</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>26225769</td>\n",
       "      <td>2024-12-20</td>\n",
       "      <td>10272.331333</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    USER_ID      P_DATE  DAILY_LISTEN_SEC\n",
       "0  62253205  2024-12-20      11522.150089\n",
       "1  48690073  2024-12-20       2297.103408\n",
       "2  55343154  2024-12-20      13281.021037\n",
       "3      8435  2024-12-20      11237.205622\n",
       "4  26225769  2024-12-20      10272.331333"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_per_user_day = per_user_day_df.to_pandas()\n",
    "df_per_user_day.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "22ba03c1",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Max daily_listen_hours on 2024-06-02: 0.16\n",
      "Max daily_listen_hours on 2024-07-01: 188.40\n",
      "Max daily_listen_hours on 2024-08-01: 301.52\n",
      "Max daily_listen_hours on 2024-09-01: 77.13\n",
      "Max daily_listen_hours on 2024-10-01: 117.66\n",
      "Max daily_listen_hours on 2024-11-01: 190.11\n",
      "Max daily_listen_hours on 2024-12-01: 160.33\n",
      "Max daily_listen_hours on 2025-01-01: 422.85\n",
      "Max daily_listen_hours on 2025-02-01: 178.03\n",
      "Max daily_listen_hours on 2025-03-01: 220.44\n",
      "Max daily_listen_hours on 2025-04-01: 203.73\n",
      "Max daily_listen_hours on 2025-05-01: 280.59\n",
      "Max daily_listen_hours on 2025-06-01: 527.08\n",
      "Max daily_listen_hours on 2025-07-01: 391.49\n",
      "Max daily_listen_hours on 2025-08-01: 890.59\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df_per_user_day[\"daily_listen_hours\"] = df_per_user_day[\"DAILY_LISTEN_SEC\"] / 3600\n",
    "import matplotlib.pyplot as plt\n",
    "import pandas as pd\n",
    "\n",
    "def plot_monthly_first_day_histograms(df: pd.DataFrame) -> None:\n",
    "    \"\"\"\n",
    "    Plot histograms of daily_listen_hours for each month's first day on the same plot.\n",
    "    Also print the max daily_listen_hours for each first day.\n",
    "\n",
    "    Args:\n",
    "        df (pd.DataFrame): DataFrame with columns 'P_DATE' (datetime) and 'daily_listen_hours'.\n",
    "\n",
    "    Raises:\n",
    "        ValueError: If required columns are missing.\n",
    "\n",
    "    Example:\n",
    "        plot_monthly_first_day_histograms(df_per_user_day)\n",
    "    \"\"\"\n",
    "    required_cols = {\"P_DATE\", \"daily_listen_hours\"}\n",
    "    if not required_cols.issubset(df.columns):\n",
    "        raise ValueError(f\"DataFrame must contain columns: {required_cols}\")\n",
    "\n",
    "    # Ensure P_DATE is datetime\n",
    "    df = df.copy()\n",
    "    df[\"P_DATE\"] = pd.to_datetime(df[\"P_DATE\"])\n",
    "\n",
    "    # Find the first day of each month present in the data\n",
    "    first_days = (\n",
    "        df[\"P_DATE\"]\n",
    "        .groupby([df[\"P_DATE\"].dt.year, df[\"P_DATE\"].dt.month])\n",
    "        .min()\n",
    "        .sort_values()\n",
    "    )\n",
    "\n",
    "    plt.figure(figsize=(10, 6))\n",
    "    # Use 0.5 hr bins from 0 to 24 (48 bins)\n",
    "    bins = [x * 0.1 for x in range(49)]\n",
    "\n",
    "    for date in first_days:\n",
    "        mask = df[\"P_DATE\"] == date\n",
    "        data = df.loc[mask, \"daily_listen_hours\"]\n",
    "        if not data.empty:\n",
    "            max_val = data.max()\n",
    "            print(f\"Max daily_listen_hours on {date.strftime('%Y-%m-%d')}: {max_val:.2f}\")\n",
    "            plt.hist(\n",
    "                data,\n",
    "                bins=bins,\n",
    "                alpha=0.5,\n",
    "                label=date.strftime(\"%Y-%m-%d\"),\n",
    "                edgecolor=\"black\",\n",
    "                linewidth=0.5,\n",
    "            )\n",
    "\n",
    "    plt.xlabel(\"Daily Listen Hours\")\n",
    "    plt.ylabel(\"User Count\")\n",
    "    plt.title(\"Distribution of Daily Listen Hours on First Day of Each Month\")\n",
    "    plt.legend(title=\"First Day\")\n",
    "    plt.tight_layout()\n",
    "    plt.show()\n",
    "\n",
    "# Usage example:\n",
    "plot_monthly_first_day_histograms(df_per_user_day)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "ecfc30d0",
   "metadata": {},
   "outputs": [],
   "source": [
    "# from typing import Any\n",
    "# import pandas as pd\n",
    "\n",
    "# def print_users_days_exceeding_24hrs(df: pd.DataFrame) -> None:\n",
    "#     \"\"\"Print user_id and number of days with daily play duration > 24 hours for each user.\n",
    "\n",
    "#     Args:\n",
    "#         df (pd.DataFrame): DataFrame with columns 'USER_ID', 'P_DATE', and 'DAILY_LISTEN_SEC' or 'daily_listen_sec'.\n",
    "\n",
    "#     Raises:\n",
    "#         ValueError: If required columns are missing.\n",
    "\n",
    "#     Example:\n",
    "#         >>> print_users_days_exceeding_24hrs(df_per_user_day)\n",
    "#     \"\"\"\n",
    "#     # Accept both possible column names for listen seconds\n",
    "#     listen_col: str | None = None\n",
    "#     for col in (\"DAILY_LISTEN_SEC\", \"daily_listen_sec\"):\n",
    "#         if col in df.columns:\n",
    "#             listen_col = col\n",
    "#             break\n",
    "#     if listen_col is None or \"USER_ID\" not in df.columns or \"P_DATE\" not in df.columns:\n",
    "#         raise ValueError(\"DataFrame must contain 'USER_ID', 'P_DATE', and 'DAILY_LISTEN_SEC' or 'daily_listen_sec' columns.\")\n",
    "\n",
    "#     threshold: int = 24 * 3600  # 24 hours in seconds\n",
    "\n",
    "#     # Find rows where daily listen exceeds 24 hours\n",
    "#     mask = df[listen_col] > threshold\n",
    "#     exceeding = df.loc[mask, [\"USER_ID\", \"P_DATE\"]]\n",
    "\n",
    "#     # Count number of days per user\n",
    "#     user_day_counts = exceeding.groupby(\"USER_ID\")[\"P_DATE\"].nunique()\n",
    "\n",
    "#     for user_id, n_days in user_day_counts.items():\n",
    "#         print(f\"user_id: {user_id}, n_days > 24 hrs: {n_days}\")\n",
    "\n",
    "# # Usage example:\n",
    "# print_users_days_exceeding_24hrs(df_per_user_day)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "d78052fd",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 0) Web paid users\n",
    "web_paid_users_df = (\n",
    "    snow_session.table(\"dim_user\")\n",
    "    .filter(snow_col(\"stripe_customer_id\").is_not_null())  # paid web users\n",
    "    .select(\"user_id\")\n",
    ")\n",
    "\n",
    "# 1) Per-user per-day listen totals\n",
    "per_user_day_df = (\n",
    "    snow_session.table(\"agg_play_info_hourly\")\n",
    "    .join(web_paid_users_df, on=\"user_id\")\n",
    "    .filter(snow_col(\"is_user_song_owner\") == False)  # other people's songs\n",
    "    .group_by(\"user_id\", \"p_date\")\n",
    "    .agg(\n",
    "        snow_sum(snow_col(\"play_duration_sec\")).alias(\"daily_listen_sec\")\n",
    "    )\n",
    ")\n",
    "\n",
    "# 2) Add percentiles and mean listen time per day\n",
    "with_percentiles = (\n",
    "    per_user_day_df\n",
    "    .with_column(\n",
    "        \"p10\", expr(\"PERCENTILE_CONT(0.10) WITHIN GROUP (ORDER BY daily_listen_sec) OVER (PARTITION BY p_date)\")\n",
    "    )\n",
    "    .with_column(\n",
    "        \"p25\", expr(\"PERCENTILE_CONT(0.25) WITHIN GROUP (ORDER BY daily_listen_sec) OVER (PARTITION BY p_date)\")\n",
    "    )\n",
    "    .with_column(\n",
    "        \"p50\", expr(\"PERCENTILE_CONT(0.50) WITHIN GROUP (ORDER BY daily_listen_sec) OVER (PARTITION BY p_date)\")\n",
    "    )\n",
    "    .with_column(\n",
    "        \"p75\", expr(\"PERCENTILE_CONT(0.75) WITHIN GROUP (ORDER BY daily_listen_sec) OVER (PARTITION BY p_date)\")\n",
    "    )\n",
    "    .with_column(\n",
    "        \"p90\", expr(\"PERCENTILE_CONT(0.90) WITHIN GROUP (ORDER BY daily_listen_sec) OVER (PARTITION BY p_date)\")\n",
    "    )\n",
    "    .with_column(\n",
    "        \"p95\", expr(\"PERCENTILE_CONT(0.95) WITHIN GROUP (ORDER BY daily_listen_sec) OVER (PARTITION BY p_date)\")\n",
    "    )\n",
    "    .with_column(\n",
    "        \"p999\", expr(\"PERCENTILE_CONT(0.999) WITHIN GROUP (ORDER BY daily_listen_sec) OVER (PARTITION BY p_date)\")\n",
    "    )\n",
    "    .with_column(\n",
    "        \"mean\", expr(\"AVG(daily_listen_sec) OVER (PARTITION BY p_date)\")\n",
    "    )\n",
    ")\n",
    "\n",
    "# 3) Filter out top 0.1% heavy listeners\n",
    "filtered = with_percentiles.filter(snow_col(\"daily_listen_sec\") <= snow_col(\"p999\"))\n",
    "\n",
    "# 4) Aggregate percentiles and mean per day\n",
    "per_day_df = (\n",
    "    filtered\n",
    "    .group_by(\"p_date\")\n",
    "    .agg(\n",
    "        mean(snow_col(\"daily_listen_sec\")).alias(\"trimmed_mean_daily_listen_sec\"),\n",
    "        expr(\"MAX(p10)\").alias(\"p10\"),\n",
    "        expr(\"MAX(p25)\").alias(\"p25\"),\n",
    "        expr(\"MAX(p50)\").alias(\"p50\"),\n",
    "        expr(\"MAX(p75)\").alias(\"p75\"),\n",
    "        expr(\"MAX(p90)\").alias(\"p90\"),\n",
    "        expr(\"MAX(p95)\").alias(\"p95\"),\n",
    "        expr(\"MAX(mean)\").alias(\"mean\"),\n",
    "    )\n",
    "    .order_by(\"p_date\")\n",
    "    .collect_nowait()\n",
    "    .result(result_type=\"pandas\")\n",
    ")\n",
    "\n",
    "# 5) Final formatting and plot\n",
    "per_day_df = per_day_df.iloc[:-1]\n",
    "# Standardize all column names to uppercase for consistent access\n",
    "per_day_df.columns = [col.upper() for col in per_day_df.columns]\n",
    "per_day_df[\"P_DATE\"] = pd.to_datetime(per_day_df[\"P_DATE\"])\n",
    "per_day_df = per_day_df[per_day_df[\"P_DATE\"] >= \"2024-11-01\"]\n",
    "\n",
    "plt.figure(figsize=(10, 4))\n",
    "plt.plot(per_day_df[\"P_DATE\"], per_day_df[\"TRIMMED_MEAN_DAILY_LISTEN_SEC\"]/60, '.-', label=\"Trimmed Mean\")\n",
    "plt.plot(per_day_df[\"P_DATE\"], per_day_df[\"MEAN\"]/60, '--', label=\"Mean\")\n",
    "plt.plot(per_day_df[\"P_DATE\"], per_day_df[\"P10\"]/60, ':', label=\"10th %ile\")\n",
    "plt.plot(per_day_df[\"P_DATE\"], per_day_df[\"P25\"]/60, ':', label=\"25th %ile\")\n",
    "plt.plot(per_day_df[\"P_DATE\"], per_day_df[\"P50\"]/60, ':', label=\"50th %ile (Median)\")\n",
    "plt.plot(per_day_df[\"P_DATE\"], per_day_df[\"P75\"]/60, ':', label=\"75th %ile\")\n",
    "plt.plot(per_day_df[\"P_DATE\"], per_day_df[\"P90\"]/60, ':', label=\"90th %ile\")\n",
    "plt.plot(per_day_df[\"P_DATE\"], per_day_df[\"P95\"]/60, ':', label=\"95th %ile\")\n",
    "plt.xlabel(\"Date\")\n",
    "plt.ylabel(\"Listening time (mins)\")\n",
    "plt.title(\"Daily Listening Time - Non-own Songs (Active Paid Web Users, Top 0.1% Removed)\")\n",
    "plt.xticks(rotation=45)\n",
    "plt.legend()\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "83ce6613",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "def plot_fraction_over_hour_thresholds_per_day(\n",
    "    filtered: pd.DataFrame, hour_thresholds: list[int]\n",
    ") -> None:\n",
    "    \"\"\"\n",
    "    Calculate and plot the daily fraction of users who listen more than each specified hour threshold in a day.\n",
    "\n",
    "    Args:\n",
    "        filtered (pd.DataFrame): DataFrame with at least 'USER_ID', 'P_DATE', and 'DAILY_LISTEN_SEC' columns.\n",
    "        hour_thresholds (list[int]): List of hour thresholds (e.g., [8, 12, 24]) to plot.\n",
    "\n",
    "    Raises:\n",
    "        KeyError: If required columns are missing.\n",
    "\n",
    "    Example:\n",
    "        plot_fraction_over_hour_thresholds_per_day(filtered, [8, 12, 24])\n",
    "    \"\"\"\n",
    "    import logging\n",
    "\n",
    "    required_cols = {\"USER_ID\", \"P_DATE\", \"DAILY_LISTEN_SEC\"}\n",
    "    if not required_cols.issubset(filtered.columns):\n",
    "        missing = required_cols - set(filtered.columns)\n",
    "        raise KeyError(f\"Missing required columns: {missing}\")\n",
    "\n",
    "    # Group by date, compute total users\n",
    "    daily_users = (\n",
    "        filtered.groupby(\"P_DATE\")[\"USER_ID\"]\n",
    "        .nunique()\n",
    "        .rename(\"total_users\")\n",
    "        .reset_index()\n",
    "    )\n",
    "\n",
    "    # For each threshold, compute fraction per day\n",
    "    plt.figure(figsize=(10, 4))\n",
    "    for hour in hour_thresholds:\n",
    "        threshold_sec = hour * 3600\n",
    "        over_thresh = (\n",
    "            filtered[filtered[\"DAILY_LISTEN_SEC\"] > threshold_sec]\n",
    "            .groupby(\"P_DATE\")[\"USER_ID\"]\n",
    "            .nunique()\n",
    "            .rename(f\"over_{hour}hr_users\")\n",
    "            .reset_index()\n",
    "        )\n",
    "        merged = pd.merge(daily_users, over_thresh, on=\"P_DATE\", how=\"left\").fillna(0)\n",
    "        merged[f\"fraction_over_{hour}hr\"] = (\n",
    "            merged[f\"over_{hour}hr_users\"] / merged[\"total_users\"]\n",
    "        )\n",
    "        plt.plot(\n",
    "            pd.to_datetime(merged[\"P_DATE\"]),\n",
    "            merged[f\"fraction_over_{hour}hr\"],\n",
    "            marker=\"o\",\n",
    "            linestyle=\"-\",\n",
    "            label=f\"> {hour}hr\"\n",
    "        )\n",
    "\n",
    "    plt.xlabel(\"Date\")\n",
    "    plt.ylabel(\"Fraction of Users (>X hr)\")\n",
    "    plt.title(\n",
    "        f\"Fraction of Users Listening >X hr per Day (Top 0.1% Removed)\"\n",
    "    )\n",
    "    plt.xticks(rotation=45)\n",
    "    plt.ylim(0, None)\n",
    "    plt.legend()\n",
    "    plt.tight_layout()\n",
    "    plt.show()\n",
    "    logging.info(\n",
    "        f\"Plotted fraction of users listening over thresholds: {hour_thresholds} hours per day.\"\n",
    "    )\n",
    "\n",
    "# Usage example:\n",
    "plot_fraction_over_hour_thresholds_per_day(filtered, [4, 8, 12, 24])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "6eb27dfe",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10, 4))\n",
    "# lt.plot(per_day_df[\"P_DATE\"], per_day_df[\"TRIMMED_MEAN_DAILY_LISTEN_SEC\"]/60, '.-', label=\"Trimmed Mean\")\n",
    "# plt.plot(per_day_df[\"P_DATE\"], per_day_df[\"MEAN\"]/60, '--', label=\"Mean\")\n",
    "# plt.plot(per_day_df[\"P_DATE\"], per_day_df[\"P10\"]/60, ':', label=\"10th %ile\")\n",
    "# plt.plot(per_day_df[\"P_DATE\"], per_day_df[\"P25\"]/60, ':', label=\"25th %ile\")\n",
    "# plt.plot(per_day_df[\"P_DATE\"], per_day_df[\"P50\"]/60, ':', label=\"50th %ile (Median)\")\n",
    "plt.plot(per_day_df[\"P_DATE\"], per_day_df[\"P75\"]/60, ':', label=\"75th %ile\")\n",
    "# plt.plot(per_day_df[\"P_DATE\"], per_day_df[\"P90\"]/60, ':', label=\"90th %ile\")\n",
    "# plt.plot(per_day_df[\"P_DATE\"], per_day_df[\"P95\"]/60, ':', label=\"95th %ile\")\n",
    "from sklearn.linear_model import LinearRegression\n",
    "import numpy as np\n",
    "\n",
    "plt.xlabel(\"Date\")\n",
    "plt.ylabel(\"Listening time (mins)\")\n",
    "plt.title(\"Daily Listening Time - Non-own Songs (Active Paid Web Users, Top 0.1% Removed)\")\n",
    "plt.xticks(rotation=45)\n",
    "plt.legend()\n",
    "plt.tight_layout()\n",
    "\n",
    "# Linear regression on 75th percentile\n",
    "x = np.arange(len(per_day_df[\"P_DATE\"])).reshape(-1, 1)\n",
    "y = per_day_df[\"P75\"].values / 60  # Convert to minutes\n",
    "\n",
    "model = LinearRegression()\n",
    "model.fit(x, y)\n",
    "y_pred = model.predict(x)\n",
    "\n",
    "plt.plot(per_day_df[\"P_DATE\"], y_pred, '-', color='red', label=\"Linear Fit (75th %ile)\")\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "0d9673d3",
   "metadata": {},
   "outputs": [],
   "source": [
    "# \"Yeah that times up well, I ramped autoplay on web from 5% to 50% on 6/16\"\n",
    "# data issues july 22-25"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "d651efc4",
   "metadata": {},
   "outputs": [],
   "source": [
    "break"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "3cd1f09a",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "37edc640",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "a418a1b6",
   "metadata": {},
   "source": [
    "## Playground"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "385c84fb",
   "metadata": {},
   "outputs": [],
   "source": [
    "# TODO: find all tracks with videos uploaded\n",
    "#  video duration\n",
    "#  then filter to 'good tracks' \n",
    "#   50% listen divided by 5% listen is high ratio with at least 5 datapoints (unique users?)\n",
    "#   effort score\n",
    "#  https://suno.com/song/81e17bbc-8c54-4208-ad53-2788dbb8fd6b"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "35d77447",
   "metadata": {},
   "outputs": [],
   "source": [
    "lower_cutoff = \"2025-07-01 00:00:00\"\n",
    "upper_cutoff = \"2025-07-01 01:00:00\"\n",
    "\n",
    "df = (\n",
    "    snow_session.table(\"rds_clip_video\")\n",
    "    .select(\n",
    "        \"clip_id\",\n",
    "        \"created_at\",\n",
    "        \"gif_s3_id\",\n",
    "        \"id\",\n",
    "        \"is_cover\",\n",
    "        \"p_date\",\n",
    "        \"updated_at\",\n",
    "        \"video_s3_id\"\n",
    "    )\n",
    "    .filter((snow_col(\"updated_at\") >= lower_cutoff) & (snow_col(\"updated_at\") < upper_cutoff))\n",
    "    .filter(snow_col(\"video_s3_id\").is_not_null() & (snow_col(\"video_s3_id\") != \"\"))\n",
    "    .collect_nowait()\n",
    "    .result(result_type=\"pandas\")\n",
    ")\n",
    "df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "a67f5c28",
   "metadata": {},
   "outputs": [],
   "source": [
    "df.head(2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "b14fd5c3",
   "metadata": {},
   "outputs": [],
   "source": [
    "lower_cutoff = \"2025-06-01 00:00:00\"\n",
    "upper_cutoff = \"2025-07-01 01:00:00\"\n",
    "\n",
    "\n",
    "# Step 1: Get qualifying clip IDs from rds_clip_video\n",
    "video_clips_df = (\n",
    "    snow_session.table(\"rds_clip_video\")\n",
    "    .filter((snow_col(\"updated_at\") >= lower_cutoff) & (snow_col(\"updated_at\") < upper_cutoff))\n",
    "    .filter(snow_col(\"video_s3_id\").is_not_null() & (snow_col(\"video_s3_id\") != \"\"))\n",
    "    .select(\"clip_id\")\n",
    ")\n",
    "\n",
    "# Step 2: Filter agg_play_info_hourly to these clips\n",
    "filtered_agg_df = (\n",
    "    snow_session.table(\"agg_play_info_hourly\")\n",
    "    .join(video_clips_df, on=\"clip_id\")\n",
    "    .filter(snow_col(\"is_user_song_owner\") == False)\n",
    ")\n",
    "\n",
    "# Step 3: Per-user aggregation\n",
    "per_user_df = (\n",
    "    filtered_agg_df\n",
    "    .group_by(\"clip_id\", \"user_id\")\n",
    "    .agg(\n",
    "        (snow_sum(snow_col(\"play_duration_sec\")) / snow_sum(snow_col(\"play_cnt\"))).alias(\"user_avg_duration\")\n",
    "    )\n",
    ")\n",
    "\n",
    "# Step 4: Per-clip aggregation\n",
    "per_clip_df = (\n",
    "    per_user_df\n",
    "    .group_by(\"clip_id\")\n",
    "    .agg(\n",
    "        count(snow_col(\"user_id\")).alias(\"unique_users\"),\n",
    "        avg(snow_col(\"user_avg_duration\")).alias(\"mean_user_avg_duration\")\n",
    "    )\n",
    "    .filter(snow_col(\"unique_users\") >= 3)\n",
    ")\n",
    "\n",
    "# Step 5: Join with dim_clip for duration\n",
    "joined_df = (\n",
    "    per_clip_df\n",
    "    .join(\n",
    "        snow_session.table(\"dim_clip\").select(\"clip_id\", \"duration_sec\"),\n",
    "        on=\"clip_id\"\n",
    "    )\n",
    ")\n",
    "\n",
    "# Step 6: Compute final score\n",
    "final_df = (\n",
    "    joined_df\n",
    "    .select(\n",
    "        \"clip_id\",\n",
    "        (snow_col(\"mean_user_avg_duration\") / snow_col(\"duration_sec\")).alias(\"average_listen_fraction\"),\n",
    "        snow_col(\"unique_users\")\n",
    "    )\n",
    "    .collect_nowait()\n",
    "    .result(result_type=\"pandas\")\n",
    ")\n",
    "\n",
    "print(final_df.shape)\n",
    "final_df.head(2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "7c0c459e",
   "metadata": {},
   "outputs": [],
   "source": [
    "# why listening fraction >1?\n",
    "# add confidence: number of unique listeners\n",
    "# only v4.5+\n",
    "# add clip duration more than 1min?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "724594d2",
   "metadata": {},
   "outputs": [],
   "source": [
    "final_df[final_df[\"UNIQUE_USERS\"] >= 50].sort_values(by=\"AVERAGE_LISTEN_FRACTION\", ascending=False).head(20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "177cc265",
   "metadata": {},
   "outputs": [],
   "source": [
    "# find lyrics that were used at least 50 times\n",
    "# find lyrics with a comment that contains the word lyrics"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "2083af96",
   "metadata": {},
   "outputs": [],
   "source": [
    "# import matplotlib.pyplot as plt\n",
    "\n",
    "# plt.figure(figsize=(10, 4))\n",
    "# plt.plot(per_day_df[\"P_DATE\"], per_day_df[\"MEDIAN_DAILY_LISTEN_SEC\"])\n",
    "# plt.xlabel(\"Date\")\n",
    "# plt.ylabel(\"Median Listen Seconds\")\n",
    "# plt.title(\"Median Daily Listening Time per User (Non-Own Tracks)\")\n",
    "# plt.xticks(rotation=45)\n",
    "# plt.tight_layout()\n",
    "# plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "2b989e28",
   "metadata": {},
   "outputs": [],
   "source": [
    "# listening to other people's songs\n",
    "\n",
    "# 0) Get user_ids of web paying users\n",
    "web_paid_users_df = (\n",
    "    snow_session.table(\"dim_user\")\n",
    "    .filter(snow_col(\"stripe_customer_id\").is_not_null())\n",
    "#     .filter(snow_col(\"stripe_customer_id\").is_null())\n",
    "    .select(\"user_id\")\n",
    ")\n",
    "\n",
    "# 1) Aggregate per user per day\n",
    "per_user_day_df = (\n",
    "    snow_session.table(\"agg_play_info_hourly\")\n",
    "    .join(web_paid_users_df, on=\"user_id\")\n",
    "    .filter(snow_col(\"is_user_song_owner\") == False)\n",
    "    .group_by(\"user_id\", \"p_date\")\n",
    "    .agg(\n",
    "        snow_sum(snow_col(\"play_duration_sec\")).alias(\"daily_listen_sec\")\n",
    "    )\n",
    ")\n",
    "\n",
    "# 2) Aggregate per day: median of user totals\n",
    "per_day_df = (\n",
    "    per_user_day_df\n",
    "    .group_by(\"p_date\")\n",
    "    .agg(\n",
    "        median(snow_col(\"daily_listen_sec\")).alias(\"median_daily_listen_sec\")\n",
    "    )\n",
    "    .order_by(\"p_date\")\n",
    "    .collect_nowait()\n",
    "    .result(result_type=\"pandas\")\n",
    ")\n",
    "\n",
    "# trim last partial day\n",
    "per_day_df = per_day_df.iloc[:-1]\n",
    "per_day_df[\"P_DATE\"] = pd.to_datetime(per_day_df[\"P_DATE\"])\n",
    "per_day_df = per_day_df[per_day_df[\"P_DATE\"] >= \"2024-11-01\"]\n",
    "\n",
    "# Find last date\n",
    "last_date = per_day_df[\"P_DATE\"].max()\n",
    "\n",
    "# Sort by date just in case\n",
    "per_day_df = per_day_df.sort_values(\"P_DATE\")\n",
    "\n",
    "# Create 7-day bins ending on last_date\n",
    "# Using '7D' frequency and right-aligned labels\n",
    "weekly_sum = (\n",
    "    per_day_df\n",
    "    .set_index(\"P_DATE\")\n",
    "    .resample(\"7D\", label=\"right\", closed=\"right\", origin=last_date)\n",
    "    .sum()\n",
    "    .reset_index()\n",
    ").iloc[1:]\n",
    "\n",
    "plt.figure(figsize=(10, 4))\n",
    "plt.plot(weekly_sum[\"P_DATE\"], weekly_sum[\"MEDIAN_DAILY_LISTEN_SEC\"]/60, '.-')\n",
    "plt.xlabel(\"Date\")\n",
    "plt.ylabel(\"Listening time (mins)\")\n",
    "# plt.title(\"Weekly Sum of Median Daily Listening Time per User\")\n",
    "plt.title(\"Average weekly listening time to other songs\")\n",
    "plt.xticks(rotation=45)\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "ef350fc6",
   "metadata": {},
   "outputs": [],
   "source": [
    "# listening to other people's songs\n",
    "\n",
    "# 0) Get user_ids of web paying users\n",
    "web_paid_users_df = (\n",
    "    snow_session.table(\"dim_user\")\n",
    "#     .filter(snow_col(\"stripe_customer_id\").is_not_null())\n",
    "    .filter(snow_col(\"stripe_customer_id\").is_null())\n",
    "    .select(\"user_id\")\n",
    ")\n",
    "\n",
    "# 1) Aggregate per user per day\n",
    "per_user_day_df = (\n",
    "    snow_session.table(\"agg_play_info_hourly\")\n",
    "    .join(web_paid_users_df, on=\"user_id\")\n",
    "    .filter(snow_col(\"is_user_song_owner\") == False)\n",
    "    .group_by(\"user_id\", \"p_date\")\n",
    "    .agg(\n",
    "        snow_sum(snow_col(\"play_duration_sec\")).alias(\"daily_listen_sec\")\n",
    "    )\n",
    ")\n",
    "\n",
    "# 2) Aggregate per day: median of user totals\n",
    "per_day_df = (\n",
    "    per_user_day_df\n",
    "    .group_by(\"p_date\")\n",
    "    .agg(\n",
    "        median(snow_col(\"daily_listen_sec\")).alias(\"median_daily_listen_sec\")\n",
    "    )\n",
    "    .order_by(\"p_date\")\n",
    "    .collect_nowait()\n",
    "    .result(result_type=\"pandas\")\n",
    ")\n",
    "\n",
    "# trim last partial day\n",
    "per_day_df = per_day_df.iloc[:-1]\n",
    "per_day_df[\"P_DATE\"] = pd.to_datetime(per_day_df[\"P_DATE\"])\n",
    "per_day_df = per_day_df[per_day_df[\"P_DATE\"] >= \"2024-11-01\"]\n",
    "\n",
    "# Find last date\n",
    "last_date = per_day_df[\"P_DATE\"].max()\n",
    "\n",
    "# Sort by date just in case\n",
    "per_day_df = per_day_df.sort_values(\"P_DATE\")\n",
    "\n",
    "# Create 7-day bins ending on last_date\n",
    "# Using '7D' frequency and right-aligned labels\n",
    "weekly_sum = (\n",
    "    per_day_df\n",
    "    .set_index(\"P_DATE\")\n",
    "    .resample(\"7D\", label=\"right\", closed=\"right\", origin=last_date)\n",
    "    .sum()\n",
    "    .reset_index()\n",
    ").iloc[1:]\n",
    "\n",
    "plt.figure(figsize=(10, 4))\n",
    "plt.plot(weekly_sum[\"P_DATE\"], weekly_sum[\"MEDIAN_DAILY_LISTEN_SEC\"]/60, '.-')\n",
    "plt.xlabel(\"Date\")\n",
    "plt.ylabel(\"Listening time (mins)\")\n",
    "# plt.title(\"Weekly Sum of Median Daily Listening Time per User\")\n",
    "plt.title(\"Average weekly listening time to other songs\")\n",
    "plt.xticks(rotation=45)\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "9d398b5e",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "63f5426d",
   "metadata": {},
   "outputs": [],
   "source": [
    "plt.figure(figsize=(10, 4))\n",
    "plt.plot(per_day_df[\"P_DATE\"], per_day_df[\"MEDIAN_DAILY_LISTEN_SEC\"]/60, '.-')\n",
    "plt.xlabel(\"Date\")\n",
    "plt.ylabel(\"Listening time (mins)\")\n",
    "# plt.title(\"Weekly Sum of Median Daily Listening Time per User\")\n",
    "plt.title(\"Average daily listening time to other songs\")\n",
    "plt.xticks(rotation=45)\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "fff3a8a4",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "0d0c3793",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "b3f0dddd",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "909259eb",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "fba51216",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Subquery: clips updated in June\n",
    "updated_clips_df = (\n",
    "    snow_session.table(\"rds_clip_extra\")\n",
    "    .filter(\n",
    "        (snow_col(\"updated_at\") >= \"2025-06-01\") &\n",
    "        (snow_col(\"updated_at\") < \"2025-07-01\")\n",
    "    )\n",
    "    .select(\"clip_id\")\n",
    ")\n",
    "\n",
    "# Join comments to those clips\n",
    "df = (\n",
    "    snow_session.table(\"rds_clip_comment\")\n",
    "    .join(updated_clips_df, on=\"clip_id\")\n",
    "    .filter(\n",
    "        upper(snow_col(\"content\")).like(lit(\"%LYRICS%\"))\n",
    "    )\n",
    "    .select(\n",
    "        \"clip_id\",\n",
    "        \"content\",\n",
    "        \"user_id\",\n",
    "        \"created_at\"\n",
    "    )\n",
    "    .order_by(\"created_at\")\n",
    "    .collect_nowait()\n",
    "    .result(result_type=\"pandas\")\n",
    ")\n",
    "\n",
    "df.head(2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "afd49f5e",
   "metadata": {},
   "outputs": [],
   "source": [
    "df[\"CLIP_ID\"].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "26717908",
   "metadata": {},
   "outputs": [],
   "source": [
    "# # Get all comments\n",
    "# df = (\n",
    "#     snow_session.table(\"rds_clip_comment\")\n",
    "#     .select(\n",
    "#         \"clip_id\",\n",
    "#         \"content\",\n",
    "#         \"user_id\",\n",
    "#         \"created_at\"\n",
    "#     )\n",
    "#     .order_by(\"created_at\")\n",
    "#     .collect_nowait()\n",
    "#     .result(result_type=\"pandas\")\n",
    "# )\n",
    "\n",
    "# # Columns are uppercase\n",
    "# df[\"CREATED_AT\"] = pd.to_datetime(df[\"CREATED_AT\"])\n",
    "\n",
    "# Group by date\n",
    "daily_counts = (\n",
    "    df.groupby(df[\"CREATED_AT\"].dt.date)\n",
    "    .size()\n",
    "    .reset_index(name=\"num_comments\")\n",
    "    .sort_values(\"CREATED_AT\")\n",
    ").iloc[:-1]\n",
    "daily_counts = daily_counts[daily_counts[\"CREATED_AT\"] >= datetime.date(2025, 2, 15)]\n",
    "\n",
    "# Plot\n",
    "plt.figure(figsize=(10,4))\n",
    "plt.plot(daily_counts[\"CREATED_AT\"], daily_counts[\"num_comments\"], \".-\")\n",
    "plt.xlabel(\"Date\")\n",
    "plt.ylabel(\"Number of Comments\")\n",
    "plt.title(\"Daily Comment Counts (All Comments)\")\n",
    "plt.xticks(rotation=45)\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "46f54da3",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Convert to datetime\n",
    "df[\"CREATED_AT\"] = pd.to_datetime(df[\"CREATED_AT\"])\n",
    "\n",
    "# Extract date\n",
    "df[\"COMMENT_DATE\"] = df[\"CREATED_AT\"].dt.date\n",
    "\n",
    "# Drop duplicates: keep only 1 comment per user per day\n",
    "df_unique = df.drop_duplicates(subset=[\"USER_ID\", \"COMMENT_DATE\"])\n",
    "\n",
    "# Group by date\n",
    "daily_counts = (\n",
    "    df_unique.groupby(\"COMMENT_DATE\")\n",
    "    .size()\n",
    "    .reset_index(name=\"num_comments\")\n",
    "    .sort_values(\"COMMENT_DATE\")\n",
    ").iloc[:-1]\n",
    "\n",
    "# Filter by cutoff date\n",
    "daily_counts = daily_counts[daily_counts[\"COMMENT_DATE\"] >= datetime.date(2025, 2, 15)]\n",
    "\n",
    "# Plot\n",
    "plt.figure(figsize=(10,4))\n",
    "plt.plot(daily_counts[\"COMMENT_DATE\"], daily_counts[\"num_comments\"], \".-\")\n",
    "plt.xlabel(\"Date\")\n",
    "plt.ylabel(\"Number of Unique Users Commenting\")\n",
    "plt.title(\"Daily Unique User Comment Counts (All Comments)\")\n",
    "plt.xticks(rotation=45)\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "702a4ca2",
   "metadata": {},
   "outputs": [],
   "source": [
    "owner_df = (\n",
    "    snow_session.table(\"dim_clip\")\n",
    "    .filter(snow_col(\"clip_id\") == \"ae9c4b6a-2c2b-4a5e-b586-8e986cc8c72b\")\n",
    "    .select(\"user_id\")\n",
    "    .collect_nowait()\n",
    "    .result(result_type=\"pandas\")\n",
    ")\n",
    "owner_df.head(2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "d03e8cc1",
   "metadata": {},
   "outputs": [],
   "source": [
    "GEORG_UID = 5"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "a02f0f63",
   "metadata": {},
   "outputs": [],
   "source": [
    "from datetime import date, timedelta\n",
    "\n",
    "# Compute date ranges\n",
    "end_date = (date.today() - timedelta(days=7+7)).isoformat()\n",
    "start_date = (date.today() - timedelta(days=14+7)).isoformat()\n",
    "\n",
    "# Query listening events in that window\n",
    "listening_df = (\n",
    "    snow_session.table(\"agg_play_info_hourly\")\n",
    "    .filter(\n",
    "        (snow_col(\"user_id\") == 5)# &\n",
    "#         (snow_col(\"p_date\") >= start_date) &\n",
    "#         (snow_col(\"p_date\") < end_date)\n",
    "    )\n",
    "    .select(\n",
    "        \"clip_id\",\n",
    "        \"play_cnt\",\n",
    "        \"play_duration_sec\",\n",
    "        \"p_date\",\n",
    "        \"p_hour\",\n",
    "        \"is_user_song_owner\"\n",
    "    )\n",
    "    .order_by(\"p_date\", \"p_hour\")\n",
    "    .collect_nowait()\n",
    "    .result(result_type=\"pandas\")\n",
    ")\n",
    "\n",
    "listening_df.head(2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "9c34427d",
   "metadata": {},
   "outputs": [],
   "source": [
    "listening_df[listening_df[\"CLIP_ID\"] == \"58cee141-372b-4f9e-9ec4-f837d7d38589\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "c7be734f",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "ea23e073",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Compute date ranges\n",
    "# end_date = date.today().isoformat()\n",
    "# start_date = (date.today() - timedelta(days=14)).isoformat()\n",
    "\n",
    "# Query listening events in the last 14 days\n",
    "listening_df = (\n",
    "    snow_session.table(\"agg_play_info_hourly\")\n",
    "    .filter(\n",
    "        (snow_col(\"user_id\") == 5)# &\n",
    "#         (snow_col(\"p_date\") >= start_date) &\n",
    "#         (snow_col(\"p_date\") < end_date)\n",
    "    )\n",
    "    .select(\n",
    "        \"clip_id\",\n",
    "        \"play_cnt\",\n",
    "        \"play_duration_sec\",\n",
    "        \"p_date\",\n",
    "        \"p_hour\",\n",
    "        \"is_user_song_owner\"\n",
    "    )\n",
    "    .order_by(\"p_date\", \"p_hour\")\n",
    "    .collect_nowait()\n",
    "    .result(result_type=\"pandas\")\n",
    ")\n",
    "\n",
    "# Convert date to datetime\n",
    "listening_df[\"P_DATE\"] = pd.to_datetime(listening_df[\"P_DATE\"])\n",
    "\n",
    "# Add a label column\n",
    "listening_df[\"OWNER_FLAG\"] = listening_df[\"IS_USER_SONG_OWNER\"].map({True: \"Own Tracks\", False: \"Other Tracks\"})\n",
    "\n",
    "# Set index\n",
    "listening_df = listening_df.set_index(\"P_DATE\")\n",
    "\n",
    "# Resample weekly totals ending on the most recent date\n",
    "weekly_totals = (\n",
    "    listening_df\n",
    "    .groupby(\"OWNER_FLAG\")[\"PLAY_DURATION_SEC\"]\n",
    "    .resample(\"7D\", label=\"right\", closed=\"right\", origin=\"epoch\")\n",
    "    .sum()\n",
    "    .reset_index()\n",
    ")\n",
    "\n",
    "# Plot\n",
    "plt.figure(figsize=(10, 4))\n",
    "\n",
    "for owner_flag, group_df in weekly_totals.groupby(\"OWNER_FLAG\"):\n",
    "    plt.plot(group_df[\"P_DATE\"], group_df[\"PLAY_DURATION_SEC\"], \".-\", label=owner_flag)\n",
    "\n",
    "plt.xlabel(\"Week Ending\")\n",
    "plt.ylabel(\"Total Listening Seconds\")\n",
    "plt.title(\"Weekly Total Listening Time (Own Tracks vs. Other Tracks)\")\n",
    "plt.legend()\n",
    "plt.xticks(rotation=45)\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "0474559e",
   "metadata": {},
   "outputs": [],
   "source": [
    "from datetime import date, timedelta\n",
    "\n",
    "# 1) Fetch raw hourly data for non-owned tracks\n",
    "raw_df = (\n",
    "    snow_session.table(\"agg_play_info_hourly\")\n",
    "    .filter(snow_col(\"is_user_song_owner\") == False)\n",
    "    .select(\n",
    "        \"user_id\",\n",
    "        \"p_date\",\n",
    "        \"play_duration_sec\"\n",
    "    )\n",
    "    .collect_nowait()\n",
    "    .result(result_type=\"pandas\")\n",
    ")\n",
    "\n",
    "# 2) Convert date\n",
    "raw_df[\"P_DATE\"] = pd.to_datetime(raw_df[\"P_DATE\"])\n",
    "\n",
    "# 3) Apply filtering and capping at the **individual row level**\n",
    "# Keep only rows with duration >10s\n",
    "filtered_df = raw_df[raw_df[\"PLAY_DURATION_SEC\"] > 10].copy()\n",
    "\n",
    "# Cap each play event at 60s\n",
    "filtered_df[\"PLAY_DURATION_SEC\"] = filtered_df[\"PLAY_DURATION_SEC\"].clip(upper=60)\n",
    "\n",
    "# 4) Aggregate per user per day: sum of capped durations\n",
    "daily_user = (\n",
    "    filtered_df\n",
    "    .groupby([\"USER_ID\", \"P_DATE\"])\n",
    "    .agg(daily_listen_sec=(\"PLAY_DURATION_SEC\", \"sum\"))\n",
    "    .reset_index()\n",
    ")\n",
    "\n",
    "# 5) Compute median per day across users\n",
    "daily_median = (\n",
    "    daily_user\n",
    "    .groupby(\"P_DATE\")\n",
    "    .agg(median_daily_listen_sec=(\"daily_listen_sec\", \"median\"))\n",
    "    .reset_index()\n",
    "    .sort_values(\"P_DATE\")\n",
    ")\n",
    "\n",
    "# 6) Resample weekly sums ending on most recent day\n",
    "last_date = daily_median[\"P_DATE\"].max()\n",
    "\n",
    "weekly_sum = (\n",
    "    daily_median\n",
    "    .set_index(\"P_DATE\")\n",
    "    .resample(\"7D\", label=\"right\", closed=\"right\", origin=last_date)\n",
    "    .sum()\n",
    "    .reset_index()\n",
    ").iloc[1:]\n",
    "\n",
    "# 7) Plot\n",
    "plt.figure(figsize=(10,4))\n",
    "plt.plot(weekly_sum[\"P_DATE\"], weekly_sum[\"median_daily_listen_sec\"], \".-\")\n",
    "plt.xlabel(\"Week Ending\")\n",
    "plt.ylabel(\"Sum of Median Listen Seconds\")\n",
    "plt.title(\"Weekly Median Listening (Non-Own Tracks, Row-Level Filter & Cap)\")\n",
    "plt.xticks(rotation=45)\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "28d77ae1",
   "metadata": {},
   "outputs": [],
   "source": [
    "raw_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "76f3880e",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 1) Retrieve raw player actions with filter >=10s directly in Snowflake\n",
    "raw_df = (\n",
    "    snow_session.table(\"web_audio_player_actions\")\n",
    "    .filter(\n",
    "#         (snow_col(\"is_user_song_owner\") == False) &\n",
    "        (snow_col(\"play_duration\") > 10) &\n",
    "        (snow_col(\"p_date\") >= \"2025-01-01\")\n",
    "    )\n",
    "    .select(\n",
    "        \"user_id\",\n",
    "        \"p_date\",\n",
    "        \"play_duration\"\n",
    "    )\n",
    "    .collect_nowait()\n",
    "    .result(result_type=\"pandas\")\n",
    ")\n",
    "\n",
    "# 2) Convert date\n",
    "raw_df[\"P_DATE\"] = pd.to_datetime(raw_df[\"P_DATE\"])\n",
    "\n",
    "# 3) Cap each play event to 60s\n",
    "raw_df[\"PLAY_DURATION\"] = raw_df[\"PLAY_DURATION\"].clip(upper=60)\n",
    "\n",
    "# 4) Aggregate per user per day\n",
    "daily_user = (\n",
    "    raw_df\n",
    "    .groupby([\"USER_ID\", \"P_DATE\"])\n",
    "    .agg(daily_listen_sec=(\"PLAY_DURATION\", \"sum\"))\n",
    "    .reset_index()\n",
    ")\n",
    "\n",
    "# 5) Compute median per day across users\n",
    "daily_median = (\n",
    "    daily_user\n",
    "    .groupby(\"P_DATE\")\n",
    "    .agg(median_daily_listen_sec=(\"daily_listen_sec\", \"median\"))\n",
    "    .reset_index()\n",
    "    .sort_values(\"P_DATE\")\n",
    ")\n",
    "\n",
    "# 6) Resample to weekly sums ending on most recent day\n",
    "last_date = daily_median[\"P_DATE\"].max()\n",
    "\n",
    "weekly_sum = (\n",
    "    daily_median\n",
    "    .set_index(\"P_DATE\")\n",
    "    .resample(\"7D\", label=\"right\", closed=\"right\", origin=last_date)\n",
    "    .sum()\n",
    "    .reset_index()\n",
    ").iloc[1:]\n",
    "\n",
    "# 7) Plot\n",
    "plt.figure(figsize=(10,4))\n",
    "plt.plot(weekly_sum[\"P_DATE\"], weekly_sum[\"median_daily_listen_sec\"], \".-\")\n",
    "plt.xlabel(\"Week Ending\")\n",
    "plt.ylabel(\"Sum of Median Listen Seconds\")\n",
    "plt.title(\"Weekly Median Listening (Non-Own Tracks, Filtered & Capped, Raw Actions)\")\n",
    "plt.xticks(rotation=45)\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "0da63574",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "9a22a3a6",
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "# 0) Get user_ids of web paying users\n",
    "web_paid_users_df = (\n",
    "    snow_session.table(\"dim_user\")\n",
    "    .filter(snow_col(\"stripe_customer_id\").is_not_null())\n",
    "#     .filter(snow_col(\"stripe_customer_id\").is_null())\n",
    "    .select(\"user_id\")\n",
    ")\n",
    "\n",
    "# 1) Aggregate per user per day\n",
    "per_user_day_df = (\n",
    "    snow_session.table(\"agg_play_info_hourly\")\n",
    "    .join(web_paid_users_df, on=\"user_id\")\n",
    "    .filter(snow_col(\"is_user_song_owner\") == False)\n",
    "    .group_by(\"user_id\", \"p_date\")\n",
    "    .agg(\n",
    "        snow_sum(snow_col(\"play_duration_sec\")).alias(\"daily_listen_sec\")\n",
    "    )\n",
    ")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "cd177a44",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "ff40ac5f",
   "metadata": {},
   "outputs": [],
   "source": [
    "sample_users = (\n",
    "    snow_session.table(\"dim_user\")\n",
    "    .filter(snow_col(\"stripe_customer_id\").is_not_null())\n",
    "    .select(\"user_id\")\n",
    "    .limit(5)\n",
    "    .collect_nowait()\n",
    "    .result(result_type=\"pandas\")\n",
    ")\n",
    "\n",
    "sample_users.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "9d3acc55",
   "metadata": {},
   "outputs": [],
   "source": [
    "sample_events = (\n",
    "    snow_session.table(\"web_audio_player_actions\")\n",
    "    .select(\"user_id\")\n",
    "    .limit(5)\n",
    "    .collect_nowait()\n",
    "    .result(result_type=\"pandas\")\n",
    ")\n",
    "\n",
    "sample_events.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "2292c904",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "0189a274",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "7e5a165e",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "4b4d4fa9",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 1) Retrieve all 'SongEnd' events for non-owned tracks\n",
    "raw_df = (\n",
    "    snow_session.table(\"web_audio_player_actions\")\n",
    "    .filter(\n",
    "        (snow_col(\"is_user_song_owner\") == False) &\n",
    "        (snow_col(\"action_name\") == \"SongEnd\") &\n",
    "        (snow_col(\"p_date\") >= \"2025-01-01\")\n",
    "    )\n",
    "    .select(\n",
    "        \"user_id\",\n",
    "        \"p_date\"\n",
    "    )\n",
    "    .collect_nowait()\n",
    "    .result(result_type=\"pandas\")\n",
    ")\n",
    "\n",
    "# 2) Convert date\n",
    "raw_df[\"P_DATE\"] = pd.to_datetime(raw_df[\"P_DATE\"])\n",
    "\n",
    "# 3) Aggregate per user per day: count song ends\n",
    "daily_user = (\n",
    "    raw_df\n",
    "    .groupby([\"USER_ID\", \"P_DATE\"])\n",
    "    .size()\n",
    "    .reset_index(name=\"num_song_ends\")\n",
    ")\n",
    "\n",
    "# 4) Compute median per day across users\n",
    "daily_mean = (\n",
    "    daily_user\n",
    "    .groupby(\"P_DATE\")\n",
    "    .agg(mean_daily_song_ends=(\"num_song_ends\", \"mean\"))\n",
    "    .reset_index()\n",
    "    .sort_values(\"P_DATE\")\n",
    ")\n",
    "\n",
    "# 5) Resample weekly sums ending on most recent day\n",
    "last_date = daily_mean[\"P_DATE\"].max()\n",
    "\n",
    "weekly_sum = (\n",
    "    daily_mean\n",
    "    .set_index(\"P_DATE\")\n",
    "    .resample(\"7D\", label=\"right\", closed=\"right\", origin=last_date)\n",
    "    .sum()\n",
    "    .reset_index()\n",
    ").iloc[1:]\n",
    "\n",
    "# 6) Plot\n",
    "plt.figure(figsize=(10,4))\n",
    "plt.plot(weekly_sum[\"P_DATE\"], weekly_sum[\"mean_daily_song_ends\"], \".-\")\n",
    "plt.xlabel(\"Week Ending\")\n",
    "plt.ylabel(\"Sum of Mean Daily Song Completions\")\n",
    "plt.title(\"Weekly Mean Song Completions (Non-Own Tracks)\")\n",
    "plt.xticks(rotation=45)\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "2fd4d664",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "6fa46a65",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "afd612ab",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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