tool to collect and validate urls over static files (code and documentation)
Project description
urlchecker-python
This is a python module to collect urls over static files (code and documentation) and then test for and report broken links. If you are interesting in using this as a GitHub action, see urlchecker-action. There are also container bases available on quay.io/urlstechie/urlchecker.
Module Documentation
A detailed documentation of the code is available under urlchecker-python.readthedocs.io
Usage
Install
You can install the urlchecker from pypi:
pip install urlchecker
or install from the repository directly:
git clone https://github.com/urlstechie/urlchecker-python.git
cd urlchecker-python
python setup.py install
Installation will place a binary, urlchecker
in your Python path.
$ which urlchecker
/home/vanessa/anaconda3/bin/urlchecker
Check Local Folder
Your most likely use case will be to check a local directory with static files (documentation or code) for files. In this case, you can use urlchecker check:
$ urlchecker check --help
usage: urlchecker check [-h] [-b BRANCH] [--subfolder SUBFOLDER] [--cleanup]
[--force-pass] [--no-print] [--file-types FILE_TYPES]
[--files FILES]
[--white-listed-urls WHITE_LISTED_URLS]
[--white-listed-patterns WHITE_LISTED_PATTERNS]
[--white-listed-files WHITE_LISTED_FILES]
[--save SAVE] [--retry-count RETRY_COUNT]
[--timeout TIMEOUT]
path
positional arguments:
path the local path or GitHub repository to clone and check
optional arguments:
-h, --help show this help message and exit
-b BRANCH, --branch BRANCH
if cloning, specify a branch to use (defaults to
master)
--subfolder SUBFOLDER
relative subfolder path within path (if not specified,
we use root)
--cleanup remove root folder after checking (defaults to False,
no cleaup)
--force-pass force successful pass (return code 0) regardless of
result
--no-print Skip printing results to the screen (defaults to
printing to console).
--file-types FILE_TYPES
comma separated list of file extensions to check
(defaults to .md,.py)
--files FILES comma separated list of exact files or patterns to
check.
--white-listed-urls WHITE_LISTED_URLS
comma separated list of white listed urls (no spaces)
--white-listed-patterns WHITE_LISTED_PATTERNS
comma separated list of white listed patterns for urls
(no spaces)
--white-listed-files WHITE_LISTED_FILES
comma separated list of white listed files and
patterns for files (no spaces)
--save SAVE Path to a csv file to save results to.
--retry-count RETRY_COUNT
retry count upon failure (defaults to 2, one retry).
--timeout TIMEOUT timeout (seconds) to provide to the requests library
(defaults to 5)
You have a lot of flexibility to define patterns of urls or files to skip, along with the number of retries or timeout (seconds). The most basic usage will check an entire directory. Let's clone and check the directory of one of the maintainers:
git clone https://github.com/SuperKogito/SuperKogito.github.io.git
cd SuperKogito.github.io
urlchecker check .
$ urlchecker check .
original path: .
final path: /tmp/SuperKogito.github.io
subfolder: None
branch: master
cleanup: False
file types: ['.md', '.py']
print all: True
url whitetlist: []
url patterns: []
file patterns: []
force pass: False
retry count: 2
timeout: 5
/tmp/SuperKogito.github.io/README.md
------------------------------------
https://travis-ci.com/SuperKogito/SuperKogito.github.io
https://www.python.org/download/releases/3.0/
https://superkogito.github.io/blog/diabetesML2.html
https://superkogito.github.io/blog/Cryptography.html
http://www.sphinx-doc.org/en/master/
https://github.com/
https://superkogito.github.io/blog/SignalFraming.html
https://superkogito.github.io/blog/VoiceBasedGenderRecognition.html
https://travis-ci.com/SuperKogito/SuperKogito.github.io.svg?branch=master
https://superkogito.github.io/blog/SpectralLeakageWindowing.html
https://superkogito.github.io/blog/Intro.html
https://github.com/SuperKogito/SuperKogito.github.io/workflows/Check%20URLs/badge.svg
https://superkogito.github.io/blog/diabetesML1.html
https://superkogito.github.io/blog/AuthenticatedEncryption.html
https://superKogito.github.io/blog/ffmpegpipe.html
https://superkogito.github.io/blog/Encryption.html
https://superkogito.github.io/blog/NaiveVad.html
/tmp/SuperKogito.github.io/_project/src/postprocessing.py
---------------------------------------------------------
No urls found.
...
https://github.com/marsbroshok/VAD-python/blob/d74033aa08fbbbcdbd491f6e52a1dfdbbb388eea/vad.py#L64
https://github.com/fgnt/pb_chime5
https://ai.facebook.com/blog/wav2vec-state-of-the-art-speech-recognition-through-self-supervision/
https://corplinguistics.wordpress.com/tag/mandarin/
http://www.cs.tut.fi/~tuomasv/papers/ijcnn_paper_valenti_extended.pdf
http://shachi.org/resources
https://conference.scipy.org/proceedings/scipy2015/pdfs/brian_mcfee.pdf
https://www.dlology.com/blog/simple-speech-keyword-detecting-with-depthwise-separable-convolutions/
https://stackoverflow.com/questions/49197916/how-to-profile-cpu-usage-of-a-python-script
Done. All URLS passed.
Check GitHub Repository
But wouldn't it be easier to not have to clone the repository first?
Of course! We can specify a GitHub url instead, and add --cleanup
if we want to clean up the folder after.
urlchecker check https://github.com/SuperKogito/SuperKogito.github.io.git
If you specify any arguments for a white list (or any kind of expected list) make sure that you provide a comma separated list without any spaces
urlchecker check --white-listed-files=README.md,_config.yml
Save Results
If you want to save your results to file, perhaps for some kind of record or
other data analysis, you can provide the --save
argument:
$ urlchecker check --save results.csv .
original path: .
final path: /home/vanessa/Desktop/Code/urlstechie/urlchecker-test-repo
subfolder: None
branch: master
cleanup: False
file types: ['.md', '.py']
print all: True
url whitetlist: []
url patterns: []
file patterns: []
force pass: False
retry count: 2
save: results.csv
timeout: 5
/home/vanessa/Desktop/Code/urlstechie/urlchecker-test-repo/README.md
--------------------------------------------------------------------
No urls found.
/home/vanessa/Desktop/Code/urlstechie/urlchecker-test-repo/test_files/sample_test_file.py
-----------------------------------------------------------------------------------------
https://github.com/SuperKogito/URLs-checker/README.md
https://github.com/SuperKogito/URLs-checker/README.md
https://www.google.com/
https://github.com/SuperKogito
/home/vanessa/Desktop/Code/urlstechie/urlchecker-test-repo/test_files/sample_test_file.md
-----------------------------------------------------------------------------------------
https://github.com/SuperKogito/URLs-checker/blob/master/README.md
https://github.com/SuperKogito/Voice-based-gender-recognition/issues
https://github.com/SuperKogito/spafe/issues/7
https://github.com/SuperKogito/URLs-checker
https://github.com/SuperKogito/URLs-checker/issues
https://github.com/SuperKogito/spafe/issues/4
https://github.com/SuperKogito/URLs-checker/issues/2
https://github.com/SuperKogito/URLs-checker/issues/2
https://github.com/SuperKogito/Voice-based-gender-recognition/issues/1
https://github.com/SuperKogito/spafe/issues/6
https://github.com/SuperKogito/spafe/issues
...
Saving results to /home/vanessa/Desktop/Code/urlstechie/urlchecker-test-repo/results.csv
Done. All URLS passed.
The file that you save to will include a comma separated value tabular listing
of the urls, and their result. The result options are "passed" and "failed"
and the default header is URL,RESULT
. All of these defaults are exposed
if you want to change them (e.g., using a tab separator or a different header)
if you call the function from within Python. Here is an example of the default file
produced, which should satisfy most use cases:
URL,RESULT
https://github.com/SuperKogito,passed
https://www.google.com/,passed
https://github.com/SuperKogito/Voice-based-gender-recognition/issues,passed
https://github.com/SuperKogito/Voice-based-gender-recognition,passed
https://github.com/SuperKogito/spafe/issues/4,passed
https://github.com/SuperKogito/Voice-based-gender-recognition/issues/2,passed
https://github.com/SuperKogito/spafe/issues/5,passed
https://github.com/SuperKogito/URLs-checker/blob/master/README.md,passed
https://img.shields.io/,passed
https://github.com/SuperKogito/spafe/,passed
https://github.com/SuperKogito/spafe/issues/3,passed
https://www.google.com/,passed
https://github.com/SuperKogito,passed
https://github.com/SuperKogito/spafe/issues/8,passed
https://github.com/SuperKogito/spafe/issues/7,passed
https://github.com/SuperKogito/Voice-based-gender-recognition/issues/1,passed
https://github.com/SuperKogito/spafe/issues,passed
https://github.com/SuperKogito/URLs-checker/issues,passed
https://github.com/SuperKogito/spafe/issues/2,passed
https://github.com/SuperKogito/URLs-checker,passed
https://github.com/SuperKogito/spafe/issues/6,passed
https://github.com/SuperKogito/spafe/issues/1,passed
https://github.com/SuperKogito/URLs-checker/README.md,failed
https://github.com/SuperKogito/URLs-checker/issues/3,failed
https://none.html,failed
https://github.com/SuperKogito/URLs-checker/issues/2,failed
https://github.com/SuperKogito/URLs-checker/README.md,failed
https://github.com/SuperKogito/URLs-checker/issues/1,failed
https://github.com/SuperKogito/URLs-checker/issues/4,failed
Usage from Python
Checking a Path
If you want to check a list of urls outside of the provided client, this is fairly easy to do! Let's say we have a path, our present working directory, and we want to check .py and .md files (the default)
from urlchecker.core.check import UrlChecker
import os
path = os.getcwd()
checker = UrlChecker(path)
# UrlChecker:/home/vanessa/Desktop/Code/urlstechie/urlchecker-python
And of course you can provide more substantial arguments to derive the original file list:
checker = UrlChecker(
path=path,
file_types=[".md", ".py", ".rst"],
include_patterns=[],
white_listed_files=["README.md", "LICENSE"],
print_all=True,
)
I can then run the checker like this:
checker.run()
Or with more customization of white listing urls:
checker.run(
white_listed_urls=white_listed_urls,
white_listed_patterns=white_listed_patterns,
retry_count=3,
timeout=5,
)
You'll get the results object returned, which is also available at checker.results
,
a simple dictionary with "passed" and "failed" keys to show passes and fails across
all files.
{'passed': ['https://github.com/SuperKogito/spafe/issues/4',
'http://shachi.org/resources',
'https://superkogito.github.io/blog/SpectralLeakageWindowing.html',
'https://superkogito.github.io/figures/fig4.html',
'https://github.com/urlstechie/urlchecker-test-repo',
'https://www.google.com/',
...
'https://github.com/SuperKogito',
'https://img.shields.io/',
'https://www.google.com/',
'https://docs.python.org/2'],
'failed': ['https://github.com/urlstechie/urlschecker-python/tree/master',
'https://github.com/SuperKogito/Voice-based-gender-recognition,passed',
'https://github.com/SuperKogito/URLs-checker/README.md',
...
'https://superkogito.github.io/tables',
'https://github.com/SuperKogito/URLs-checker/issues/2',
'https://github.com/SuperKogito/URLs-checker/README.md',
'https://github.com/SuperKogito/URLs-checker/issues/4',
'https://github.com/SuperKogito/URLs-checker/issues/3',
'https://github.com/SuperKogito/URLs-checker/issues/1',
'https://none.html']}
You can look at checker.checks
, which is a dictionary of result objects,
organized by the filename:
for file_name, result in checker.checks.items():
print()
print(result)
print("Total Results: %s " % result.count)
print("Total Failed: %s" % len(result.failed))
print("Total Passed: %s" % len(result.passed))
...
UrlCheck:/home/vanessa/Desktop/Code/urlstechie/urlchecker-python/tests/test_files/sample_test_file.md
Total Results: 26
Total Failed: 6
Total Passed: 20
UrlCheck:/home/vanessa/Desktop/Code/urlstechie/urlchecker-python/.pytest_cache/README.md
Total Results: 1
Total Failed: 0
Total Passed: 1
UrlCheck:/home/vanessa/Desktop/Code/urlstechie/urlchecker-python/.eggs/pytest_runner-5.2-py3.7.egg/ptr.py
Total Results: 0
Total Failed: 0
Total Passed: 0
UrlCheck:/home/vanessa/Desktop/Code/urlstechie/urlchecker-python/docs/source/conf.py
Total Results: 3
Total Failed: 0
Total Passed: 3
For any result object, you can print the list of passed, falied, white listed, or all the urls.
result.all
['https://www.sphinx-doc.org/en/master/usage/configuration.html',
'https://docs.python.org/3',
'https://docs.python.org/2']
result.failed
[]
result.white_listed
[]
result.passed
['https://www.sphinx-doc.org/en/master/usage/configuration.html',
'https://docs.python.org/3',
'https://docs.python.org/2']
result.count
3
Checking a List of URls
If you start with a list of urls you want to check, you can do that too!
from urlchecker.core.urlproc import UrlCheckResult
urls = ['https://www.github.com', "https://github.com", "https://banana-pudding-doesnt-exist.com"]
# Instantiate an empty checker to extract urls
checker = UrlCheckResult()
File name None is undefined or does not exist, skipping extraction.
If you provied a file name, the urls would be extracted for you.
checker = UrlCheckResult(
file_name=file_name,
white_listed_patterns=white_listed_patterns,
white_listed_urls=white_listed_urls,
print_all=self.print_all,
)
or you can provide all the parameters without the filename:
checker = UrlCheckResult(
white_listed_patterns=white_listed_patterns,
white_listed_urls=white_listed_urls,
print_all=self.print_all,
)
If you don't provide the file_name to check urls, you can give the urls
you defined previously directly to the check_urls
function:
checker.check_urls(urls)
https://www.github.com
https://github.com
HTTPSConnectionPool(host='banana-pudding-doesnt-exist.com', port=443): Max retries exceeded with url: / (Caused by NewConnectionError('<urllib3.connection.VerifiedHTTPSConnection object at 0x7f989abdfa10>: Failed to establish a new connection: [Errno -2] Name or service not known'))
https://banana-pudding-doesnt-exist.com
And of course you can specify a timeout and retry:
checker.check_urls(urls, retry_count=retry_count, timeout=timeout)
After you run the checker you can get all the urls, the passed, and failed sets:
checker.failed
['https://banana-pudding-doesnt-exist.com']
checker.passed
['https://www.github.com', 'https://github.com']
checker.all
['https://www.github.com',
'https://github.com',
'https://banana-pudding-doesnt-exist.com']
checker.all
['https://www.github.com',
'https://github.com',
'https://banana-pudding-doesnt-exist.com']
checker.count
3
If you have any questions, please don't hesitate to open an issue.
Docker
A Docker container is provided if you want to build a base container with urlchecker, meaning that you don't need to install it on your host. You can build the container as follows:
docker build -t urlchecker .
And then the entrypoint will expose the urlchecker.
docker run -it urlschecker
Development
Organization
The module is organized as follows:
├── client # command line client
├── main # functions for supported integrations (e.g., GitHub)
├── core # core file and url processing tools
└── version.py # package and versioning
In the "client" folder, for example, the commands that are exposed for the client
(e.g., check) would named accordingly, e.g., client/check.py
.
Functions for Github are be provided in main/github.py
. This organization should
be fairly straight forward to always find what you are looking for.
Support
If you need help, or want to suggest a project for the organization, please open an issue
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