{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Fetch the npz from s3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-05-26T00:36:56.065152Z",
     "start_time": "2024-05-26T00:36:54.886147Z"
    },
    "execution": {
     "iopub.execute_input": "2025-07-30T12:26:14.590494Z",
     "iopub.status.busy": "2025-07-30T12:26:14.590359Z",
     "iopub.status.idle": "2025-07-30T12:26:15.727646Z",
     "shell.execute_reply": "2025-07-30T12:26:15.727085Z",
     "shell.execute_reply.started": "2025-07-30T12:26:14.590479Z"
    }
   },
   "outputs": [],
   "source": [
    "import ast\n",
    "import os\n",
    "import sys\n",
    "from collections import defaultdict\n",
    "\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "from sklearn.model_selection import train_test_split\n",
    "from suno_utils.utils.s3 import download_s3_files\n",
    "from suno_utils.utils.text import read_json, read_jsonl, write_json, write_jsonl\n",
    "from tqdm import tqdm\n",
    "\n",
    "sys.path.insert(0, \"/home/tony/Work/neon/sunoGPT/scripts/\")\n",
    "\n",
    "import numpy as np\n",
    "from data_preparation_7b import *"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-05-26T00:36:56.068073Z",
     "start_time": "2024-05-26T00:36:56.066469Z"
    },
    "execution": {
     "iopub.execute_input": "2025-07-30T12:26:15.728448Z",
     "iopub.status.busy": "2025-07-30T12:26:15.728241Z",
     "iopub.status.idle": "2025-07-30T12:26:15.730870Z",
     "shell.execute_reply": "2025-07-30T12:26:15.730455Z",
     "shell.execute_reply.started": "2025-07-30T12:26:15.728433Z"
    }
   },
   "outputs": [],
   "source": [
    "OUT_DATA_DIR = \"/app2/suno/data/dpo/auk_t0_npz/\"\n",
    "# NPZ_DIR = \"/app/suno/data/dpo/13b_npz\"\n",
    "NPZ_DIR = \"/app2/suno/data/dpo/auk_t0_npz/\"\n",
    "# NPZ_DIR = \"/app/suno/data/dpo/concat_npz\"\n",
    "JSON_DIR = \"/app2/suno/data/dpo/auk_t0_json/\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-07-30T12:26:27.600059Z",
     "iopub.status.busy": "2025-07-30T12:26:27.599720Z",
     "iopub.status.idle": "2025-07-30T12:26:27.602555Z",
     "shell.execute_reply": "2025-07-30T12:26:27.602111Z",
     "shell.execute_reply.started": "2025-07-30T12:26:27.600041Z"
    }
   },
   "outputs": [],
   "source": [
    "# data_csv_path = \"/home/tony/Data/Preference/auk_t0/interesting_clips_auk_t0_20250714.pkl\"\n",
    "data_csv_path = \"/home/tony/Data/Preference/auk_t0/interesting_clips_auk_t0_20250730_refactor.pkl\"\n",
    "# data_csv_path = \"/home/tony/Data/Preference/auk_t0/interesting_clips_auk_t0_20250618.pkl\"\n",
    "# data_csv_path = \"/home/tony/Data/Preference/auk_t0/fully_merged_auk_t0.pkl\"\n",
    "# data_csv_path = \"/home/tony/Data/Preference/30b_v2/concat_clips_20240908_v0.pkl\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-05-26T00:36:59.932066Z",
     "start_time": "2024-05-26T00:36:56.069087Z"
    },
    "execution": {
     "iopub.execute_input": "2025-07-30T12:26:28.103243Z",
     "iopub.status.busy": "2025-07-30T12:26:28.102900Z",
     "iopub.status.idle": "2025-07-30T12:26:36.802052Z",
     "shell.execute_reply": "2025-07-30T12:26:36.801549Z",
     "shell.execute_reply.started": "2025-07-30T12:26:28.103226Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(374496, 68)"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# df = pd.read_csv(data_csv_path)\n",
    "df = pd.read_pickle(data_csv_path)\n",
    "df.shape\n",
    "# v2: (2341508, 31)\n",
    "# v3: (2609830, 31)\n",
    "# v4: (1926120, 35)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-07-30T12:26:39.724241Z",
     "iopub.status.busy": "2025-07-30T12:26:39.723898Z",
     "iopub.status.idle": "2025-07-30T12:26:39.950128Z",
     "shell.execute_reply": "2025-07-30T12:26:39.949578Z",
     "shell.execute_reply.started": "2025-07-30T12:26:39.724223Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(374496, 68)\n",
      "model_name\n",
      "chirp-auk-t0    374496\n",
      "Name: count, dtype: int64\n"
     ]
    }
   ],
   "source": [
    "df = df[df[\"model_name\"].str.contains(\"auk\")]\n",
    "print(df.shape)\n",
    "# for extend, also fetch their parents\n",
    "print(df[\"model_name\"].value_counts())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-07-30T12:26:39.951138Z",
     "iopub.status.busy": "2025-07-30T12:26:39.950982Z",
     "iopub.status.idle": "2025-07-30T12:26:39.953269Z",
     "shell.execute_reply": "2025-07-30T12:26:39.952871Z",
     "shell.execute_reply.started": "2025-07-30T12:26:39.951123Z"
    }
   },
   "outputs": [],
   "source": [
    "# if \"extend\" in data_csv_path:\n",
    "# test_slice = df[\"metadata\"].apply(lambda x: ast.literal_eval(x))\n",
    "# test_slice_series = test_slice.apply(pd.Series)\n",
    "# df = pd.concat([df, test_slice_series], axis=1, join=\"inner\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-07-30T12:26:39.953833Z",
     "iopub.status.busy": "2025-07-30T12:26:39.953705Z",
     "iopub.status.idle": "2025-07-30T12:26:40.023314Z",
     "shell.execute_reply": "2025-07-30T12:26:40.022139Z",
     "shell.execute_reply.started": "2025-07-30T12:26:39.953820Z"
    }
   },
   "outputs": [],
   "source": [
    "df[\"s3_id\"] = df[\"id\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-05-26T00:36:59.940064Z",
     "start_time": "2024-05-26T00:36:59.933947Z"
    },
    "execution": {
     "iopub.execute_input": "2025-07-30T12:26:40.024076Z",
     "iopub.status.busy": "2025-07-30T12:26:40.023908Z",
     "iopub.status.idle": "2025-07-30T12:26:40.112230Z",
     "shell.execute_reply": "2025-07-30T12:26:40.111726Z",
     "shell.execute_reply.started": "2025-07-30T12:26:40.024060Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "374496\n",
      "full 374496\n"
     ]
    }
   ],
   "source": [
    "# download all clips; 883k\n",
    "from suno_utils.utils.s3 import download_s3_files\n",
    "\n",
    "s3_ids = df[\"s3_id\"].values\n",
    "print(len(s3_ids))\n",
    "# s3_ids = set(s3_ids).union(set(df[\"audio_prompt_id\"].values))\n",
    "print(\"full\", len(s3_ids))\n",
    "s3_paths = [f\"s3://suno-data-uploads/studio/uploads/{s3_id}.npz\" for s3_id in s3_ids]\n",
    "local_paths = [f\"{NPZ_DIR}/{s3_id}.npz\" for s3_id in s3_ids]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-05-26T00:37:00.153602Z",
     "start_time": "2024-05-26T00:36:59.941125Z"
    },
    "execution": {
     "iopub.execute_input": "2025-07-30T12:26:40.113507Z",
     "iopub.status.busy": "2025-07-30T12:26:40.113347Z",
     "iopub.status.idle": "2025-07-30T12:26:40.728649Z",
     "shell.execute_reply": "2025-07-30T12:26:40.728072Z",
     "shell.execute_reply.started": "2025-07-30T12:26:40.113492Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "jobs to be done 1020 1020\n"
     ]
    }
   ],
   "source": [
    "finished_paths = os.listdir(NPZ_DIR)\n",
    "finished_paths_set = set(finished_paths)\n",
    "unfinished_s3_paths = [\n",
    "    path for path in s3_paths if os.path.basename(path) not in finished_paths_set\n",
    "]\n",
    "unfinished_paths = [\n",
    "    path for path in local_paths if os.path.basename(path) not in finished_paths_set\n",
    "]\n",
    "unfinished_ids_set = set([os.path.basename(path).replace(\".npz\", \"\") for path in unfinished_paths])\n",
    "unfinished_ids = [i for i in s3_ids if i in unfinished_ids_set]\n",
    "print(\"jobs to be done\", len(unfinished_paths), len(unfinished_s3_paths))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-05-26T00:49:33.275556Z",
     "start_time": "2024-05-26T00:37:00.154648Z"
    },
    "execution": {
     "iopub.execute_input": "2025-07-30T12:26:40.729363Z",
     "iopub.status.busy": "2025-07-30T12:26:40.729213Z",
     "iopub.status.idle": "2025-07-30T12:27:25.379893Z",
     "shell.execute_reply": "2025-07-30T12:27:25.379262Z",
     "shell.execute_reply.started": "2025-07-30T12:26:40.729348Z"
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 2/2 [00:44<00:00, 22.30s/it]\n"
     ]
    }
   ],
   "source": [
    "_ = download_s3_files(unfinished_s3_paths, unfinished_paths, n_cores=32)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-05-26T00:59:42.420025Z",
     "start_time": "2024-05-26T00:49:33.276845Z"
    },
    "execution": {
     "iopub.execute_input": "2025-07-30T12:27:25.380796Z",
     "iopub.status.busy": "2025-07-30T12:27:25.380625Z",
     "iopub.status.idle": "2025-07-30T12:27:36.340800Z",
     "shell.execute_reply": "2025-07-30T12:27:36.340147Z",
     "shell.execute_reply.started": "2025-07-30T12:27:25.380778Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "jobs to be done 3 3\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 1/1 [00:00<00:00,  2.28it/s]\n"
     ]
    }
   ],
   "source": [
    "# # deleted files are at: deleted; try to get them as well\n",
    "finished_paths = os.listdir(NPZ_DIR)\n",
    "finished_paths_set = set(finished_paths)\n",
    "unfinished_s3_paths = [\n",
    "    path for path in s3_paths if os.path.basename(path) not in finished_paths_set\n",
    "]\n",
    "unfinished_paths = [\n",
    "    path for path in local_paths if os.path.basename(path) not in finished_paths_set\n",
    "]\n",
    "print(\"jobs to be done\", len(unfinished_paths), len(unfinished_s3_paths))\n",
    "unfinished_deleted_s3_paths = [\n",
    "    path.replace(\"/uploads/\", \"/deleted/\") for path in unfinished_s3_paths\n",
    "]\n",
    "_ = download_s3_files(unfinished_deleted_s3_paths, unfinished_paths, n_cores=32)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-05-26T00:59:42.423220Z",
     "start_time": "2024-05-26T00:59:42.421231Z"
    },
    "execution": {
     "iopub.execute_input": "2025-07-30T12:27:36.341694Z",
     "iopub.status.busy": "2025-07-30T12:27:36.341525Z",
     "iopub.status.idle": "2025-07-30T12:27:36.344625Z",
     "shell.execute_reply": "2025-07-30T12:27:36.344116Z",
     "shell.execute_reply.started": "2025-07-30T12:27:36.341678Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Finish downloads\n"
     ]
    }
   ],
   "source": [
    "print(\"Finish downloads\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Hoot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-07-30T12:27:36.345362Z",
     "iopub.status.busy": "2025-07-30T12:27:36.345222Z",
     "iopub.status.idle": "2025-07-30T12:27:36.370752Z",
     "shell.execute_reply": "2025-07-30T12:27:36.370192Z",
     "shell.execute_reply.started": "2025-07-30T12:27:36.345349Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1020\n"
     ]
    }
   ],
   "source": [
    "s3_ids = unfinished_ids\n",
    "print(len(s3_ids))\n",
    "s3_paths = [f\"s3://suno-data-uploads/studio/uploads/{s3_id}_hoot.json\" for s3_id in s3_ids]\n",
    "local_paths = [f\"{JSON_DIR}/{s3_id}_hoot.json\" for s3_id in s3_ids]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-07-30T12:27:36.371488Z",
     "iopub.status.busy": "2025-07-30T12:27:36.371344Z",
     "iopub.status.idle": "2025-07-30T12:27:36.515071Z",
     "shell.execute_reply": "2025-07-30T12:27:36.514455Z",
     "shell.execute_reply.started": "2025-07-30T12:27:36.371474Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "jobs to be done 1020 1020\n"
     ]
    }
   ],
   "source": [
    "finished_paths = os.listdir(JSON_DIR)\n",
    "finished_paths_set = set(finished_paths)\n",
    "unfinished_s3_paths = [\n",
    "    path for path in s3_paths if os.path.basename(path) not in finished_paths_set\n",
    "]\n",
    "unfinished_paths = [\n",
    "    path for path in local_paths if os.path.basename(path) not in finished_paths_set\n",
    "]\n",
    "print(\"jobs to be done\", len(unfinished_paths), len(unfinished_s3_paths))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-07-30T12:27:36.516033Z",
     "iopub.status.busy": "2025-07-30T12:27:36.515876Z",
     "iopub.status.idle": "2025-07-30T12:28:17.719527Z",
     "shell.execute_reply": "2025-07-30T12:28:17.719002Z",
     "shell.execute_reply.started": "2025-07-30T12:27:36.516018Z"
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 2/2 [00:41<00:00, 20.60s/it]\n"
     ]
    }
   ],
   "source": [
    "_ = download_s3_files(unfinished_s3_paths, unfinished_paths, n_cores=32)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-07-30T12:28:17.721025Z",
     "iopub.status.busy": "2025-07-30T12:28:17.720857Z",
     "iopub.status.idle": "2025-07-30T12:28:26.271785Z",
     "shell.execute_reply": "2025-07-30T12:28:26.271119Z",
     "shell.execute_reply.started": "2025-07-30T12:28:17.721008Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "jobs to be done 0 0\n"
     ]
    }
   ],
   "source": [
    "# # deleted files are at: deleted; try to get them as well\n",
    "finished_paths = os.listdir(JSON_DIR)\n",
    "finished_paths_set = set(finished_paths)\n",
    "unfinished_s3_paths = [\n",
    "    path for path in s3_paths if os.path.basename(path) not in finished_paths_set\n",
    "]\n",
    "unfinished_paths = [\n",
    "    path for path in local_paths if os.path.basename(path) not in finished_paths_set\n",
    "]\n",
    "print(\"jobs to be done\", len(unfinished_paths), len(unfinished_s3_paths))\n",
    "unfinished_deleted_s3_paths = [\n",
    "    path.replace(\"/uploads/\", \"/deleted/\") for path in unfinished_s3_paths\n",
    "]\n",
    "_ = download_s3_files(unfinished_deleted_s3_paths, unfinished_paths, n_cores=32)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-07-30T12:28:26.272613Z",
     "iopub.status.busy": "2025-07-30T12:28:26.272454Z",
     "iopub.status.idle": "2025-07-30T12:28:26.275454Z",
     "shell.execute_reply": "2025-07-30T12:28:26.274956Z",
     "shell.execute_reply.started": "2025-07-30T12:28:26.272598Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Finish downloads hoot!\n"
     ]
    }
   ],
   "source": [
    "print(\"Finish downloads hoot!\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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