fastdl 0.1.3

Download and extract files fast and easily

fastdl

Download and extract files fast and easily.

file_path = fastdl.download(url, extract=True, dir_prefix="downloads")

Features

• Parallel downloads (threads and processes)
• Cache for downloads and extractions
• Easy extractions
• Progress bars
• Easily configurable

Installation

$ pip install fastdl

Usage

fastdl can be be used in two different ways, download a single file or download multiple files in parallel:

Single file

file_path = fastdl.download(url, dir_prefix="downloads", extract=True)

Multiple files

with fastdl.Parallel(prefer="threads"):
    downloads = []

    for url in urls:
        download = p.download(url, dir_prefix="downloads") # same arguments

    for download in downloads:
        file_path = download.get()  # block until download is finished

Parameters

Parameter	Description	Type	Default
url	Url to download	str
fname	File name of download file. Can be an absolute path. Can receive a function with response as an argument	str or callable	None
dir_prefix	Directory to store download file. Used only if fname is not an absolute path. Defaults to current directory or value specified by fastdl.conf["default_dir_prefix"]	str	None
subdir_prefix	Subdirectory inside dir_prefix to store download. Defaults to no subdirectory.	str	""
headers	Dictionnary of HTTP headers to send. For example: {"User-Agent": "fastdl/0.1"}	dict	{}
content_disposition	Used only if fname is None. If True, try to infer the filename from content disposition. If False, url will be used to infer filename.	bool	False
blocksize	Number of bytes to read and write for each iteration	int	8192
file_hash	File hash. If the file hash doesn't match, it will be re-downloaded.	str	None
hash_algorithm	Hash algorithm. One of the following: "sha256", "sha512", "sha1", "md5" or auto. By default, it will try to infer the algorithm according to the length of the file_hash	str	auto
extract	Whether or not extract file	bool	False
extract_dir	Directory to store extracted files. By default same directory as the file	str	None
progressbar	Whether or not show a progress bar	bool	True
force_download	Whether or not force download if file already exists. By default, it doesn't re-download file unless file hash doesn't match	bool	False
force_extraction	Whether or not force extraction if file already exists	bool	False

Examples

Download file and re-download if hash doesn't match

import fastdl

file_hash = "155fdb3732e82cc4864c441e6400def0"
url = "https://file-examples.com/wp-content/uploads/2017/02/zip_2MB.zip"

file_path = fastdl.download(url, extract=True, dir_prefix="downloads", file_hash=file_hash)

Download multiple files in parallel

import fastdl

urls = [
    "https://file-examples.com/wp-content/uploads/2017/04/file_example_MP4_480_1_5MG.mp4",
    "https://file-examples.com/wp-content/uploads/2017/04/file_example_MP4_640_3MG.mp4",
    "https://file-examples.com/wp-content/uploads/2017/04/file_example_MP4_1280_10MG.mp4"
]

with fastdl.Parallel(prefer="processes", max_workers=2) as p:
    downloads = []

    for url in urls:
        download = p.download(url, dir_prefix="downloads")

    for download in downloads:
        file_path = download.get(timeout=10)  # wait 10 seconds or raise timeout if download hasn't finished

Download from a list of urls in parallel

import fastdl
from fastdl.utils import lines

with fastdl.Parallel() as p:
    downloads = []

    for url in lines("urls.txt"):
        download = p.download(url)
        downloads.append(download)

    for download in downloads:
        file_path = download.get()

Change default download directory

If you're using a directory for all your downloads (e.g ~/.myapp), you can easily change the default directory for your downloads:

# myapp/__init__.py

import fastdl

fastdl.conf["default_dir_prefix"] = "~/.myapp"

# myapp/file.py

file_path = fastdl.download("https://file-examples.com/wp-content/uploads/2017/02/zip_2MB.zip")
file_path == "~/.myapp/zip_2MB.zip"

Check examples folder to see examples in action.