Ada is a fast spec-compliant url parser
Project description
can_ada
[Fast] Python bindings for Ada, a fast and WHATWG spec-compliant URL parser. This is the URL parser used in projects like Node.js.
Installation
pip install can_ada
Binary wheels are available for most platforms. If not available, a C++17-or-greater compiler will be required to build the underlying Ada library.
WHATWG URL compliance
Unlike the standard library's urllib.parse
module, this library is compliant with the WHATWG URL specification.
import can_ada
urlstring = "https://www.GOoglé.com/./path/../path2/"
url = can_ada.parse(urlstring)
# prints www.xn--googl-fsa.com, the correctly parsed domain name according
# to WHATWG
print(url.hostname)
# prints /path2/, which is the correctly parsed pathname according to WHATWG
print(url.pathname)
import urllib.parse
urlstring = "https://www.GOoglé.com/./path/../path2/"
url = urllib.parse.urlparse(urlstring)
# prints www.googlé.com
print(url.hostname)
# prints /./path/../path2/
print(url.path)
Usage
Parsing is simple:
from can_ada import parse
url = parse("https://tkte.ch/search?q=canada")
print(url.protocol) # https:
print(url.host) # tkte.ch
print(url.pathname) # /search
print(url.search) # ?q=canada
You can also modify URLs:
from can_ada import parse
url = parse("https://tkte.ch/search?q=canada")
url.host = "google.com"
url.search = "?q=canada&safe=off"
print(url) # https://google.com/search?q=canada&safe=off
Performance
We find that can_ada
is typically ~4x faster than urllib:
---------------------------------------------------------------------------------
Name (time in ms) Min Max Mean
---------------------------------------------------------------------------------
test_can_ada_parse 54.1304 (1.0) 54.6734 (1.0) 54.3699 (1.0)
test_ada_python_parse 107.5653 (1.99) 108.1666 (1.98) 107.7817 (1.98)
test_urllib_parse 251.5167 (4.65) 255.1327 (4.67) 253.2407 (4.66)
---------------------------------------------------------------------------------
To run the benchmarks locally, use:
pytest --runslow
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File details
Details for the file can_ada-1.3.0-cp37-cp37m-macosx_10_15_x86_64.whl
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- Upload date:
- Size: 278.5 kB
- Tags: CPython 3.7m, macOS 10.15+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.12.4
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