main.py

import json
import sys, os, os.path as osp
import asyncio

import requests
import fire
import pandas as pd
from random import random
from concurrent.futures import ProcessPoolExecutor


def ytb_download(uid, url, json_info, output_dir="ytb_videos/"):
    
    os.makedirs(output_dir, exist_ok=True)
    # uid = url.split("?v=")[-1]

    video_path = osp.join(output_dir, f"{uid}.mp4")
    meta_path = osp.join(output_dir, f"{uid}.json")
    if osp.exists(video_path) and osp.exists(meta_path):
        print(f"{uid} already downloaded.")
        return 0

    if osp.exists(video_path):
        print(f"[video] {uid} already downloaded.")
    else:
        with requests.get(url) as resp:
            if resp.status_code != 200:
                print(f"{uid} failed to fetch.")
                return -1
            print(f"downloading {uid}: {url} to {output_dir}")
            open(video_path, "wb").write(resp.content)
    
    if not osp.exists(meta_path):
        with open(osp.join(output_dir, f"{uid}.json"), "w") as fp:
            json.dump(json_info, fp, indent=2)
    return 0
    


async def main(csv_path, max_workers=2, shards=0, total=-1, limit=False):
    PPE = ProcessPoolExecutor(max_workers=max_workers)
    loop = asyncio.get_event_loop()

    df = pd.read_csv(csv_path)
    output_dir = csv_path.split(".")[0]

    tasks = []
    data_list = df.iterrows()
    
    if total > 0:
        data_list = list(df.iterrows())
        chunk = len(data_list) // total
        begin_idx = shards * chunk
        end_idx = (shards + 1) * chunk
        if shards == total - 1:
            end_idx = len(data_list)
        data_list = data_list[begin_idx:end_idx]
        print(f"Downloading total {len(data_list)} videos")
    
    for idx, (index, row) in enumerate(data_list):
        uid = row["videoid"]
        url = row["contentUrl"]

        # name,page_idx,page_dir,duration
        try:
            json_info = {
                "name": row["name"],
                "url": url,
                # "page_idx": row["page_idx"],
                # "page_dir": row["page_dir"],
                "duration": row["duration"],
            }
        except KeyError as e:
            print(row)
            print(row.keys())
            print(e)
            exit(0)

        tasks.append(
            loop.run_in_executor(PPE, ytb_download, uid, url, json_info, output_dir)
        )
        if idx >= 20 and limit:
            break
    res = await asyncio.gather(*tasks)

    print(f"[{sum(res)} / {len(res)}]")
    
    output_log = f"log_{output_dir}.json"
    
    key = "total"
    if total is not None:
        key = f"{shards}-of-{total}"
    
    json_output = {}
    if osp.exists(output_log):
        with open(output_log, "r") as fp:
            json_output = json.load(fp)
    
    json_output[key] = f"[{sum(res)} / {len(res)}]"    
    
    with open(output_log, "w") as fp:
        json.dump(json_output, fp, indent=2)


def entry(csv="panda70m_testing.csv", shards=0, total=-1, limit=False):
    asyncio.run(main(csv, shards=shards, total=total, limit=limit))


if __name__ == "__main__":
    fire.Fire(entry)
    # url = "https://ak.picdn.net/shutterstock/videos/1053841541/preview/stock-footage-travel-blogger-shoot-a-story-on-top-of-mountains-young-man-holds-camera-in-forest.mp4"
    # uid = "1053841541"
    # json_info = {}
    # res = ytb_download(uid, url, json_info, output_dir="test/")
    # print(res)