{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 178,
   "id": "e61339f8",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 179,
   "id": "5cda7a6a",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "320000\n"
     ]
    }
   ],
   "source": [
    "filepath = \"/app2/suno/data/diffusion/v1/metas_diff_v0_tr_loudness.csv\"\n",
    "df = pd.read_csv(filepath)\n",
    "print(len(df))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 180,
   "id": "a6bd5c16",
   "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>id</th>\n",
       "      <th>local_filepath</th>\n",
       "      <th>lufs_db</th>\n",
       "      <th>failed</th>\n",
       "      <th>duration_s</th>\n",
       "      <th>sample_rate</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>qw6ukBmi7cs</td>\n",
       "      <td>/app2/suno/data/raw_audio_opus_v0/qw6ukBmi7cs....</td>\n",
       "      <td>-14.730453</td>\n",
       "      <td>False</td>\n",
       "      <td>334.600000</td>\n",
       "      <td>48000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>V0NWaOVQgkU</td>\n",
       "      <td>/app2/suno/data/raw_audio_opus_v0/V0NWaOVQgkU....</td>\n",
       "      <td>-9.134563</td>\n",
       "      <td>False</td>\n",
       "      <td>230.473500</td>\n",
       "      <td>48000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>LKii10hZI1E</td>\n",
       "      <td>/app2/suno/data/raw_audio_opus_v0/LKii10hZI1E....</td>\n",
       "      <td>-6.069446</td>\n",
       "      <td>False</td>\n",
       "      <td>242.680000</td>\n",
       "      <td>48000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>thw3OaGp8eY</td>\n",
       "      <td>/app2/suno/data/raw_audio_opus_v0/thw3OaGp8eY....</td>\n",
       "      <td>-11.494259</td>\n",
       "      <td>False</td>\n",
       "      <td>120.023958</td>\n",
       "      <td>48000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>pG_HS1iETlc</td>\n",
       "      <td>/app2/suno/data/raw_audio_opus_v0/pG_HS1iETlc....</td>\n",
       "      <td>-10.294502</td>\n",
       "      <td>False</td>\n",
       "      <td>105.923104</td>\n",
       "      <td>48000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            id                                     local_filepath    lufs_db  \\\n",
       "0  qw6ukBmi7cs  /app2/suno/data/raw_audio_opus_v0/qw6ukBmi7cs.... -14.730453   \n",
       "1  V0NWaOVQgkU  /app2/suno/data/raw_audio_opus_v0/V0NWaOVQgkU....  -9.134563   \n",
       "2  LKii10hZI1E  /app2/suno/data/raw_audio_opus_v0/LKii10hZI1E....  -6.069446   \n",
       "3  thw3OaGp8eY  /app2/suno/data/raw_audio_opus_v0/thw3OaGp8eY.... -11.494259   \n",
       "4  pG_HS1iETlc  /app2/suno/data/raw_audio_opus_v0/pG_HS1iETlc.... -10.294502   \n",
       "\n",
       "   failed  duration_s  sample_rate  \n",
       "0   False  334.600000        48000  \n",
       "1   False  230.473500        48000  \n",
       "2   False  242.680000        48000  \n",
       "3   False  120.023958        48000  \n",
       "4   False  105.923104        48000  "
      ]
     },
     "execution_count": 180,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 181,
   "id": "abacad02",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "28\n",
      "0\n"
     ]
    }
   ],
   "source": [
    "# how many rows have -inf lufs_db?\n",
    "print(df[df[\"lufs_db\"] == -np.inf][\"id\"].nunique())\n",
    "\n",
    "# remove those rows\n",
    "df = df[df[\"lufs_db\"] != -np.inf]\n",
    "\n",
    "# how many rows have -inf lufs_db?\n",
    "print(df[df[\"lufs_db\"] == -np.inf][\"id\"].nunique())\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 182,
   "id": "0c9d48c9",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "failed\n",
      "False    319970\n",
      "True          2\n",
      "Name: count, dtype: int64\n"
     ]
    }
   ],
   "source": [
    "# count number of failed rows\n",
    "print(df[\"failed\"].value_counts())\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 183,
   "id": "253f1c26",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "LUFS (dB) statistics:\n",
      "   min: -58.170\n",
      "   max:  3.207\n",
      "  mean: -11.975\n",
      "median: -10.986\n",
      "    5%: -20.561\n",
      "   95%: -6.619\n",
      "   std:  4.425\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 600x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Improved histogram of lufs_db with gridlines and summary statistics\n",
    "\n",
    "# Calculate and print summary statistics\n",
    "lufs = df[\"lufs_db\"].dropna()\n",
    "stats = {\n",
    "    \"min\": np.min(lufs),\n",
    "    \"max\": np.max(lufs),\n",
    "    \"mean\": np.mean(lufs),\n",
    "    \"median\": np.median(lufs),\n",
    "    \"5%\": np.percentile(lufs, 5),\n",
    "    \"95%\": np.percentile(lufs, 95),\n",
    "    \"std\": np.std(lufs),\n",
    "}\n",
    "print(\"LUFS (dB) statistics:\")\n",
    "for k, v in stats.items():\n",
    "    print(f\"{k:>6}: {v: .3f}\")\n",
    "\n",
    "plt.figure(figsize=(6, 4))\n",
    "plt.hist(lufs, bins=250, color=\"skyblue\", zorder=5)\n",
    "plt.grid(True, linestyle='--', alpha=0.6, zorder=0)\n",
    "plt.title(\"Distribution of Loudness (LUFS)\")\n",
    "plt.xlabel(\"LUFS (dB)\")\n",
    "plt.ylabel(\"Count\")\n",
    "plt.tight_layout()\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 184,
   "id": "b7c5d117",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "/app2/suno/data/raw_audio_opus_v0/VmDuVvwk93c.opus\n",
      "/app2/suno/data/raw_audio_opus_v0/su7ob7Uq8Dw.opus\n",
      "/app2/suno/data/raw_audio_opus_v0/Zg2iwWF7JHQ.opus\n",
      "/app2/suno/data/raw_audio_opus_v0/gz9BSyI47GY.opus\n",
      "/app2/suno/data/raw_audio_opus_v0/64zYAYKhx1o.opus\n"
     ]
    }
   ],
   "source": [
    "# print the path of 5 random rows where the lufs_db is less than -30\n",
    "for i in range(5):\n",
    "    print(df[df[\"lufs_db\"] > 0][\"local_filepath\"].iloc[i])\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 185,
   "id": "1da01dd4",
   "metadata": {},
   "outputs": [],
   "source": [
    "#/app2/suno/data/raw_audio_opus_v0/VmDuVvwk93c.opus"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 186,
   "id": "d40ad5d9",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Duration (s) statistics:\n",
      "   min:  0.155\n",
      "   max:  10856.172\n",
      "  mean:  228.667\n",
      "median:  210.800\n",
      "    5%:  55.917\n",
      "   95%:  437.073\n",
      "   std:  155.550\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 600x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'Count')"
      ]
     },
     "execution_count": 186,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 600x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Improved histogram of duration_s with gridlines and summary statistics\n",
    "\n",
    "# Calculate and print summary statistics\n",
    "durations = df[\"duration_s\"].dropna()\n",
    "stats = {\n",
    "    \"min\": np.min(durations),\n",
    "    \"max\": np.max(durations),\n",
    "    \"mean\": np.mean(durations),\n",
    "    \"median\": np.median(durations),\n",
    "    \"5%\": np.percentile(durations, 5),\n",
    "    \"95%\": np.percentile(durations, 95),\n",
    "    \"std\": np.std(durations),\n",
    "}\n",
    "print(\"Duration (s) statistics:\")\n",
    "for k, v in stats.items():\n",
    "    print(f\"{k:>6}: {v: .3f}\")\n",
    "\n",
    "plt.figure(figsize=(6, 4))\n",
    "plt.hist(durations, bins=250, color=\"skyblue\", zorder=5)\n",
    "plt.grid(True, linestyle='--', alpha=0.6, zorder=0)\n",
    "plt.title(\"Distribution of Duration (seconds)\")\n",
    "plt.xlabel(\"Duration (s)\")\n",
    "plt.ylabel(\"Count\")\n",
    "plt.tight_layout()\n",
    "plt.show()\n",
    "\n",
    "# make a second plot that is more zoomed in on the 0-30s range\n",
    "plt.figure(figsize=(6, 4))\n",
    "plt.hist([x for x in durations if x <= 480], bins=250, color=\"skyblue\", zorder=5)\n",
    "plt.grid(True, linestyle='--', alpha=0.6,\n",
    " zorder=0)\n",
    "plt.title(\"Distribution of Duration (seconds)\")\n",
    "plt.xlabel(\"Duration (s)\")\n",
    "plt.xlim(0, 480)\n",
    "plt.ylabel(\"Count\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 187,
   "id": "c62b375a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 600x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "sample_rate\n",
      "8000          1\n",
      "11025         4\n",
      "12000         3\n",
      "16000        15\n",
      "22050        71\n",
      "24000         8\n",
      "32000        73\n",
      "44100      3190\n",
      "48000    316607\n",
      "Name: count, dtype: int64\n"
     ]
    }
   ],
   "source": [
    "# make a bar plot of the sample rate\n",
    "counts = df[\"sample_rate\"].value_counts().sort_index()\n",
    "plt.figure(figsize=(6, 4))\n",
    "plt.bar(counts.index.astype(str), counts.values)\n",
    "plt.title(\"Sample Rate Distribution\")\n",
    "plt.xlabel(\"Sample Rate\")\n",
    "plt.ylabel(\"Count\")\n",
    "plt.tight_layout()\n",
    "plt.show()  # <-- This was missing: the plot is not displayed without this in some notebook setups\n",
    "\n",
    "# also print the counts\n",
    "print(counts)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 188,
   "id": "fa83edfb",
   "metadata": {},
   "outputs": [],
   "source": [
    "# print the ids of the rows with sample rate not 48000 or 44100\n",
    "filtered = df[~df[\"sample_rate\"].isin([48000, 44100])]\n",
    "\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6d20010e",
   "metadata": {},
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "8fbf3ba6",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "313b6e2c",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "suno_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": "3.10.9"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}