{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import os\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "from suno_utils.utils.text import read_jsonl, write_jsonl\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "filepath = \"/home/christian/code/christian/metadata/v4/imslp_audio_production_features_v2.csv\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "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>spectral_centroid</th>\n",
       "      <th>bass</th>\n",
       "      <th>mid</th>\n",
       "      <th>high</th>\n",
       "      <th>crest_factor</th>\n",
       "      <th>stereo_width</th>\n",
       "      <th>spectral_flatness</th>\n",
       "      <th>silence_percentage</th>\n",
       "      <th>loudness</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>e37cbb60-f338-4367-83ed-83b1dab191f5</td>\n",
       "      <td>2063.218018</td>\n",
       "      <td>0.065925</td>\n",
       "      <td>0.465696</td>\n",
       "      <td>0.154503</td>\n",
       "      <td>2.645240</td>\n",
       "      <td>0.355942</td>\n",
       "      <td>0.006601</td>\n",
       "      <td>2.796768</td>\n",
       "      <td>-16.968318</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>39d5a1db-8192-44ea-b411-a9bada9f5963</td>\n",
       "      <td>1690.681274</td>\n",
       "      <td>0.022524</td>\n",
       "      <td>0.749791</td>\n",
       "      <td>0.081221</td>\n",
       "      <td>2.026139</td>\n",
       "      <td>0.175323</td>\n",
       "      <td>0.012761</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-17.688945</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>8b2150e7-0ac8-4fe0-9b3b-5ae2b60f598d</td>\n",
       "      <td>2161.531982</td>\n",
       "      <td>0.260348</td>\n",
       "      <td>0.779559</td>\n",
       "      <td>0.324373</td>\n",
       "      <td>1.918242</td>\n",
       "      <td>0.060980</td>\n",
       "      <td>0.148240</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-20.720272</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>969ed3b0-045e-4e76-b7af-b331cd342020</td>\n",
       "      <td>1672.073120</td>\n",
       "      <td>0.067831</td>\n",
       "      <td>0.324249</td>\n",
       "      <td>0.051885</td>\n",
       "      <td>2.514228</td>\n",
       "      <td>0.431173</td>\n",
       "      <td>0.000748</td>\n",
       "      <td>11.153846</td>\n",
       "      <td>-15.228675</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>82dbe8c6-26ae-4b81-a5e5-c4ab592abd1c</td>\n",
       "      <td>2118.272461</td>\n",
       "      <td>0.145029</td>\n",
       "      <td>0.557715</td>\n",
       "      <td>0.182660</td>\n",
       "      <td>2.585610</td>\n",
       "      <td>0.134009</td>\n",
       "      <td>0.054360</td>\n",
       "      <td>3.791667</td>\n",
       "      <td>-17.860916</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                     id  spectral_centroid      bass  \\\n",
       "0  e37cbb60-f338-4367-83ed-83b1dab191f5        2063.218018  0.065925   \n",
       "1  39d5a1db-8192-44ea-b411-a9bada9f5963        1690.681274  0.022524   \n",
       "2  8b2150e7-0ac8-4fe0-9b3b-5ae2b60f598d        2161.531982  0.260348   \n",
       "3  969ed3b0-045e-4e76-b7af-b331cd342020        1672.073120  0.067831   \n",
       "4  82dbe8c6-26ae-4b81-a5e5-c4ab592abd1c        2118.272461  0.145029   \n",
       "\n",
       "        mid      high  crest_factor  stereo_width  spectral_flatness  \\\n",
       "0  0.465696  0.154503      2.645240      0.355942           0.006601   \n",
       "1  0.749791  0.081221      2.026139      0.175323           0.012761   \n",
       "2  0.779559  0.324373      1.918242      0.060980           0.148240   \n",
       "3  0.324249  0.051885      2.514228      0.431173           0.000748   \n",
       "4  0.557715  0.182660      2.585610      0.134009           0.054360   \n",
       "\n",
       "   silence_percentage   loudness  \n",
       "0            2.796768 -16.968318  \n",
       "1            0.000000 -17.688945  \n",
       "2            0.000000 -20.720272  \n",
       "3           11.153846 -15.228675  \n",
       "4            3.791667 -17.860916  "
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_csv(filepath)\n",
    "df.head()\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['6c5c86d3-d324-484d-a1b6-82d766a38c10', '0e3bb03b-da71-4d6b-9299-20bace526492', '69633b7c-a86c-4bbe-9dd6-7321c65af4d6', '32e60961-89e4-4ddd-9466-a7657713338e', '86225ef5-4a01-431e-9fc8-29fb0e7370bc', '93d57f14-463c-4edf-b41e-2443197acf8b', 'ed55ac4e-9bc9-45fc-b475-031b58fa9774', 'b6e0d7b7-85b0-430b-a55b-3064e749dd02', '9f42c03b-5b33-4226-874f-c4561a4e7a63', 'd60bccce-efd8-44e2-acba-e364ea1b9adf', '3677736d-0f30-4e52-8d4f-6d507e01881a', '127f5ca1-f490-4b11-9f81-f21755cb794d']\n",
      "12\n"
     ]
    }
   ],
   "source": [
    "ids_to_drop = set()\n",
    "\n",
    "# find the ids that have NaN values\n",
    "nan_ids = df[df.isna().any(axis=1)][\"id\"].tolist()\n",
    "print(nan_ids)\n",
    "print(len(nan_ids))\n",
    "ids_to_drop.update(nan_ids)\n",
    "\n",
    "# drop the ids from the dataframe\n",
    "df = df[~df[\"id\"].isin(ids_to_drop)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "spectral_centroid: 2870 229 3099\n",
      "\n",
      "spectral_flatness: 268 997 1265\n",
      "\n",
      "crest_factor: 22 26 48\n",
      "\n",
      "stereo_width: 70462 3001 73463\n",
      "\n",
      "bass: 42 108 150\n",
      "\n",
      "mid: 158 27 185\n",
      "\n",
      "high: 17 376 393\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x1000 with 7 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "total number of ids before filtering\n",
      "278608\n",
      "total number of ids after filtering\n",
      "201009\n",
      "total number of ids dropped: 77599\n",
      "percentage of ids dropped: 27.85%\n"
     ]
    }
   ],
   "source": [
    "# make a histogram of each feature in the dataframe\n",
    "\n",
    "# lets get a list of ids that exceed IRQ by 1.5 above or below for each feature\n",
    "alpha = 4.0\n",
    "\n",
    "features = [\n",
    "    (\"spectral_centroid\", 1500, 5500),\n",
    "    (\"spectral_flatness\", 0.001, 0.35),\n",
    "    (\"crest_factor\", 1.0, 4.5),\n",
    "    (\"stereo_width\", 0.01, 0.5),\n",
    "    (\"bass\", 0.005, 0.5),\n",
    "    (\"mid\", 0.15, 1.2),\n",
    "    (\"high\", 0.01, 0.9),\n",
    "]\n",
    "\n",
    "filtered_by_feature = {}\n",
    "\n",
    "fig, axs = plt.subplots(len(features), 1, figsize=(10, 10))\n",
    "\n",
    "\n",
    "# total number of ids before filtering\n",
    "for idx, (feature, min_val, max_val) in enumerate(features):\n",
    "    #print(feature)\n",
    "    #iqr = np.percentile(df[feature], 75) - np.percentile(df[feature], 25)\n",
    "    #lower_bound = np.percentile(df[feature], 25) - alpha * iqr\n",
    "    #upper_bound = np.percentile(df[feature], 75) + alpha * iqr\n",
    "    lower_bound = min_val\n",
    "    upper_bound = max_val\n",
    "    #print(f\"{feature}: {lower_bound} {upper_bound}\")\n",
    "    # get the ids that exceed the bounds\n",
    "\n",
    "    # make a histogram of the feature\n",
    "    feature_values = df[feature].values.tolist()\n",
    "    axs[idx].hist(feature_values, bins=1000)\n",
    "    axs[idx].axvline(x=lower_bound, color='r', linestyle='--', label='Lower Bound')\n",
    "    axs[idx].axvline(x=upper_bound, color='g', linestyle='--', label='Upper Bound')\n",
    "    axs[idx].legend()\n",
    "    axs[idx].set_title(feature)\n",
    "    axs[idx].set_xlabel(feature)\n",
    "    axs[idx].set_yscale('log')\n",
    "    axs[idx].set_ylabel('Frequency')\n",
    "\n",
    "    ids_below = df[df[feature] < lower_bound]\n",
    "    ids_above = df[df[feature] > upper_bound]\n",
    "    ids_to_drop.update(ids_below[\"id\"].tolist())\n",
    "    ids_to_drop.update(ids_above[\"id\"].tolist())\n",
    "\n",
    "    filtered_by_feature[feature] = {\n",
    "        \"ids_below\": ids_below[\"id\"].tolist(),\n",
    "        \"ids_above\": ids_above[\"id\"].tolist(),\n",
    "        \"ids_to_drop\": ids_to_drop\n",
    "    }\n",
    "\n",
    "    print(f\"{feature}: {len(ids_below)} {len(ids_above)} {len(ids_below) + len(ids_above)}\")\n",
    "    print()\n",
    "\n",
    "plt.show()\n",
    "\n",
    "print()\n",
    "print(\"total number of ids before filtering\")\n",
    "print(len(df))\n",
    "\n",
    "# total number of ids after filtering\n",
    "print(\"total number of ids after filtering\")\n",
    "print(len(df) - len(ids_to_drop))\n",
    "print(f\"total number of ids dropped: {len(ids_to_drop)}\")\n",
    "print(f\"percentage of ids dropped: {len(ids_to_drop) / len(df) * 100:.2f}%\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "def download_audio(s3_filepath):\n",
    "    os.system(f\"aws s3 cp {s3_filepath} /home/christian/code/christian/notebooks/tmp/audio.mp3\")\n",
    "    print(\"/home/christian/code/christian/notebooks/tmp/audio.mp3\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "# load the ismlp metas to get the s3 filepath\n",
    "filepath = \"/home/christian/code/christian/metadata/imslp_metas.jsonl\"\n",
    "metas = read_jsonl(filepath)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "metas_map = {meta[\"id\"]: meta for meta in metas}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'id': 'df2779bc-95f9-419f-ad40-c703099fc448', 'audio_filename': 'df2779bc-95f9-419f-ad40-c703099fc448.mp3', 's3_filepath': 's3://suno-data/datasets/harvest/imslp/audio/df2779bc-95f9-419f-ad40-c703099fc448.mp3', 'duration_s': 374, 'original_id': '5119', 'title': 'String Quartet No. 13 in B-Flat Major, Op. 130', 'composer': 'Beethoven, Ludwig van', 'genre': 'Romantic', 'instruments': '2 violins, viola, cello', 'url': 'http://petruccimusiclibrary.ca/all/12148-bpt6k8810488j/Beethoven Quatuor à cordes No. 13, Op. 130/05. Barylli-Quartett - String Quartet No. 13 in B-Flat Major, Op. 130 V. Cavatina. Adagio molto espressivo.mp3', 'recording_category': 'Commercial Recordings'}\n",
      "download: s3://suno-data/datasets/harvest/imslp/audio/df2779bc-95f9-419f-ad40-c703099fc448.mp3 to tmp/audio.mp3\n",
      "/home/christian/code/christian/notebooks/tmp/audio.mp3\n"
     ]
    }
   ],
   "source": [
    "# listen to some of the ids that were dropppe\n",
    "feature = \"spectral_centroid\"\n",
    "ids_to_drop = filtered_by_feature[feature][\"ids_to_drop\"]\n",
    "\n",
    "# pick a random id from the list\n",
    "import random\n",
    "random_id = random.choice(list(ids_to_drop))\n",
    "\n",
    "# look this up in the dataframe\n",
    "meta = metas_map[random_id]\n",
    "print(meta)\n",
    "\n",
    "# download the audio\n",
    "download_audio(meta[\"s3_filepath\"])\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [],
   "source": [
    "# create a txt file with the ids that were dropped\n",
    "with open(\"/home/christian/code/christian/metadata/imslp_low_quality_ids.txt\", \"w\") as f:\n",
    "    for id in ids_to_drop:\n",
    "        f.write(f\"{id}\\n\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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