Collection of helpful scripts and apps
make setup
usage: hn_links.py [-h] -l HN_LINK -b BLOG_DIRECTORY [-v]
Grab links from HN Post and generate Markdown post with image thumbnails
It also creates a Hugo blog post from Markdown and images generated
SUPPORT: To regenerate thumbnail, just delete the image file under thumbnails folder inside the post directory.
SUPPORT: To remove any link from the blog post, delete the entry after the post is created **in the blog directory**
Note down all the links somewhere then run the following command from blog directory to delete them
E.g. Image links will be like
$ pbpaste | awk -F\/ '{print $6}' | tr -d ')' | while read img; do find . -name $img -delete; done # noqa: W605
Usage:
$ python hn-links.py -l https://news.ycombinator.com/item?id=25381191 -b <blog_directory> --open-in-editor
options:
-h, --help show this help message and exit
-l HN_LINK, --hn-link HN_LINK
Link to HN Post
-b BLOG_DIRECTORY, --blog-directory BLOG_DIRECTORY
Full path to blog directory
-v, --verbose Display context variables at each step
usage: template_py_scripts.py [-h] [-v]
A simple script
Usage:
./template_py_scripts.py -h
./template_py_scripts.py -v # To log INFO messages
./template_py_scripts.py -vv # To log DEBUG messages
options:
-h, --help show this help message and exit
-v, --verbose Increase verbosity of logging output
usage: txt_to_audio_polly.py [-h] -i INPUT [-p PROFILE] [-v]
Convert text to audio using AWS Polly
Usage:
./txt_to_audio_polly.py -i input.txt
It is also possible to use the AWS_PROFILE environment variable to specify the AWS profile to use.
Otherwise you can use the -p/--profile option to specify the profile to use.
./txt_to_audio_polly.py -i input.txt -p my_profile
options:
-h, --help show this help message and exit
-i INPUT, --input INPUT
Input file
-p PROFILE, --profile PROFILE
AWS Profile to use. If not provided then it'll use the
AWS_PROFILE environment variable
-v, --verbose Increase verbosity of logging output
usage: csv-markwhen.py [-h] csv_file
Process a CSV file and generate formatted output for MarkWhen.
./csv-markwhen.py ~/Downloads/file.csv > ~/Downloads/timeline.mw; npx -i @markwhen/mw ~/Downloads/timeline.mw ~/Downloads/timeline.html; open ~/Downloads/timeline.html
positional arguments:
csv_file Path to the CSV file
options:
-h, --help show this help message and exit
usage: twitter_login.py [-h] [-v] [-i]
options:
-h, --help show this help message and exit
-v, --verbose Increase verbosity of logging output
-i, --invisible Run session in headless mode
usage: media_manager.py [-h] [-f SOURCE_FILE] [-s SOURCE_DIRECTORY] -t
TARGET_DIRECTORY [-r]
[] Organise photos and videos
TODO:
Handle ignored files
options:
-h, --help show this help message and exit
-f SOURCE_FILE, --source-file SOURCE_FILE
Source file
-s SOURCE_DIRECTORY, --source-directory SOURCE_DIRECTORY
Source directory
-t TARGET_DIRECTORY, --target-directory TARGET_DIRECTORY
Target directory
-r, --remove-source Remove source file
usage: thumbnail_generator.py [-h] -i INPUT_URL -o OUTPUT_FILE_PATH
[-w WAIT_IN_SECS_BEFORE_CAPTURE] [-s]
options:
-h, --help show this help message and exit
-i INPUT_URL, --input-url INPUT_URL
Web Url
-o OUTPUT_FILE_PATH, --output-file-path OUTPUT_FILE_PATH
Output file path
-w WAIT_IN_SECS_BEFORE_CAPTURE, --wait-in-secs-before-capture WAIT_IN_SECS_BEFORE_CAPTURE
Wait (in secs) before capturing screenshot
-s, --headless Run headless (no browser window)
usage: links_to_hugo.py [-h] -l LINKS_FILE -t POST_TITLE -b BLOG_DIRECTORY
[-e] [-v]
Read a list of links from a file (Each line should contain a single link to a webpage)
Check if the link is still valid
Grab title of the webpage
Grab screenshot/thumbnail of the webpage
Create a blog post with list of links along with the thumbnail
Usage:
$ python3 links_to_hugo.py -l links.txt -t "<blog title>" -b <blog_directory> --open-in-editor
Process:
1. Use curl to download the webpage
$ curl -s <page-url> > .temp/<filename>.html
2. Use pup to extract links and output to a file
$ cat <filename>.html | pup 'a attr{href}' >> links.txt
3. Run this script
$ EDITOR=/usr/local/bin/idea ./links_to_hugo.py --links-file .temp/links.txt --post-title "Post title" --blog-directory "<full-path-to-blog-directory" --open-in-editor
4. Review blog post in the editor and remove any links if necessary
5. Run this script to clean up any images that are left behind due to deleted links
$ ./unused_files.py -s <blog-root>/static/images -t <blog-root>/content -d
6. make deploy from blog directory
7. make commit-all from blog directory
options:
-h, --help show this help message and exit
-l LINKS_FILE, --links-file LINKS_FILE
Path to links file
-t POST_TITLE, --post-title POST_TITLE
Blog post title
-b BLOG_DIRECTORY, --blog-directory BLOG_DIRECTORY
Full path to blog directory
-e, --open-in-editor Open blog site in editor
-v, --verbose Display context variables at each step
usage: publish_vnote_to_hugo.py [-h] [-b BLOG_DIRECTORY] -n VNOTE_FILE_PATH
[-e]
Publish vNote to Hugo blog post
$ python publish_vnote_to_hugo.py <<blog-root>> <<vnote-location>>
options:
-h, --help show this help message and exit
-b BLOG_DIRECTORY, --blog-directory BLOG_DIRECTORY
Blog directory
-n VNOTE_FILE_PATH, --vnote-file-path VNOTE_FILE_PATH
vNote file path
-e, --open-in-editor Open blog site in editor
usage: readme_docs.py [-h]
Generates documentation for the readme.md file
options:
-h, --help show this help message and exit
usage: hn-vader-sentiment.py [-h] -s STORY_ID [-v]
Analyse a HackerNews post by looking at the comments and calculating the sentiment
options:
-h, --help show this help message and exit
-s STORY_ID, --story-id STORY_ID
Hacker News Story ID
-v, --verbose Display context variables at each step
usage: twitter_thread.py [-h] [-v] -u URL [-n TWEETS_TO_FETCH]
Collect tweets from a thread and save them to a file.
Usage:
./twitter_thread.py -h
./twitter_thread.py -v -u https://twitter.com/elonmusk/status/1320000000000000000 -o elonmusk.txt
options:
-h, --help show this help message and exit
-v, --verbose Increase verbosity of logging output
-u URL, --url URL URL of the thread to collect
-n TWEETS_TO_FETCH, --tweets-to-fetch TWEETS_TO_FETCH
Number of tweets to fetch
usage: template_executable_docs.py [-h] -u USERNAME [-v]
Shows an example of executable documentation.
Usage:
./executable_docs.py -h
./executable_docs.py --username johndoe
options:
-h, --help show this help message and exit
-u USERNAME, --username USERNAME
User name
-v, --verbose Display context variables at each step
usage: py_carbon_clip.py [-h]
Generate beautiful screenshots of code using carbon.now.sh and puts it on the clipboard.
options:
-h, --help show this help message and exit
usage: playwright_browser.py [-h] [-v] [-f INPUT_FILE] [-i INPUT_URL]
[-a AUTH_SESSION_FILE] [-p]
options:
-h, --help show this help message and exit
-v, --verbose Increase verbosity of logging output
-f INPUT_FILE, --input-file INPUT_FILE
Input file with URLs
-i INPUT_URL, --input-url INPUT_URL
Web Url
-a AUTH_SESSION_FILE, --auth-session-file AUTH_SESSION_FILE
Playwright authentication session
-p, --convert-to-pdf Convert to PDF
usage: webpage_to_pdf.py [-h] -i INPUT_URL [-o OUTPUT_FILE_PATH]
[-w WAIT_IN_SECS_BEFORE_CAPTURE] [-s]
Generate PDF from a webpage
options:
-h, --help show this help message and exit
-i INPUT_URL, --input-url INPUT_URL
Web Url
-o OUTPUT_FILE_PATH, --output-file-path OUTPUT_FILE_PATH
Full output file path for PDF
-w WAIT_IN_SECS_BEFORE_CAPTURE, --wait-in-secs-before-capture WAIT_IN_SECS_BEFORE_CAPTURE
Wait (in secs) before capturing screenshot
-s, --headless Run headless (no browser window)
usage: java_parser.py [-h] -s SOURCE_DIRECTORY
Parses the java files and creates a list of all the classes and their methods.
options:
-h, --help show this help message and exit
-s SOURCE_DIRECTORY, --source-directory SOURCE_DIRECTORY
Input source directory
usage: jsondoc_parser.py [-h] [-i INFILE] [-o OUTFILE]
Extract all paths from jsondoc file
Usage: $ curl -s -X GET http://some-url/restapidoc.json | python jsondoc_parser.py
options:
-h, --help show this help message and exit
-i INFILE, --infile INFILE
-o OUTFILE, --outfile OUTFILE
pygame 2.5.2 (SDL 2.28.3, Python 3.10.14)
Hello from the pygame community. https://www.pygame.org/contribute.html
usage: arch-animate.py [-h] [-c] [-v]
Simple script to demonstrate animating software architecture diagrams using PyGame
Requires
* brew install imagemagick
Usage:
./arch-animate.py -h
options:
-h, --help show this help message and exit
-c, --convert-to-animation
Generate animated gif
-v, --verbose Increase verbosity of logging output
usage: print-mouse-position.py [-h] [-v]
A simple script to capture mouse position
# From: https://github.com/renanstn/mouse-screen-position/blob/master/src/screen_position.py
options:
-h, --help show this help message and exit
-v, --verbose Increase verbosity of logging output
usage: playwright_thumbnails.py [-h] [-v] -i INPUT_URL -o OUTPUT_FILE_PATH
[-a AUTH_SESSION_FILE] [-s]
[-w WAIT_IN_SECS_BEFORE_CAPTURE]
options:
-h, --help show this help message and exit
-v, --verbose Increase verbosity of logging output
-i INPUT_URL, --input-url INPUT_URL
Web Url
-o OUTPUT_FILE_PATH, --output-file-path OUTPUT_FILE_PATH
Output file path
-a AUTH_SESSION_FILE, --auth-session-file AUTH_SESSION_FILE
Playwright authentication session
-s, --headless Run in headless mode (no browser window)
-w WAIT_IN_SECS_BEFORE_CAPTURE, --wait-in-secs-before-capture WAIT_IN_SECS_BEFORE_CAPTURE
Wait (in secs) before capturing screenshot
usage: csv-checker.py [-h] start_balance end_balance csv_path
Verify a csv file.
positional arguments:
start_balance The starting balance.
end_balance The ending balance.
csv_path The path to the CSV file.
options:
-h, --help show this help message and exit
usage: unused_files.py [-h] -s SOURCE -t TARGET [-d] [-v]
Find/Delete files from source directory that are not used in any file in the target directory.
options:
-h, --help show this help message and exit
-s SOURCE, --source SOURCE
Source directory
-t TARGET, --target TARGET
Target directory
-d, --delete Delete unused files
-v, --verbose
usage: seewav [-h] [-r RATE] [--stereo] [-c COLOR] [-c2 COLOR2] [-o OPACITY]
[-b BACKGROUND] [--white] [-i IMAGE] [-B BARS] [-O OVERSAMPLE]
[-T TIME] [-S SPEED] [-W WIDTH] [-H HEIGHT] [-C CENTER]
[-s SEEK] [-d DURATION]
audio [out]
Generate a nice mp4 animation from an audio file.
positional arguments:
audio Path to audio file
out Path to output file. Default is ./out.mp4
options:
-h, --help show this help message and exit
-r RATE, --rate RATE Video framerate.
--stereo Create 2 waveforms for stereo files.
-c COLOR, --color COLOR
Color of the bars as `r,g,b` in [0, 1].
-c2 COLOR2, --color2 COLOR2
Color of the second waveform as `r,g,b` in [0, 1] (for
stereo).
-o OPACITY, --opacity OPACITY
The opacity of the waveform on the background.
-b BACKGROUND, --background BACKGROUND
Set the background. r,g,b` in [0, 1]. Default is black
(0,0,0).
--white Use white background. Default is black.
-i IMAGE, --image IMAGE
Set the background image.
-B BARS, --bars BARS Number of bars on the video at once
-O OVERSAMPLE, --oversample OVERSAMPLE
Lower values will feel less reactive.
-T TIME, --time TIME Amount of audio shown at once on a frame.
-S SPEED, --speed SPEED
Higher values means faster transitions between frames.
-W WIDTH, --width WIDTH
width in pixels of the animation
-H HEIGHT, --height HEIGHT
height in pixels of the animation
-C CENTER, --center CENTER
The center of the bars relative to the image.
-s SEEK, --seek SEEK Seek to time in seconds in video.
-d DURATION, --duration DURATION
Duration in seconds from seek time.
usage: auto-drive-chatgpt.py [-h] [-v]
A simple script
Usage:
./template_py_scripts.py -h
./template_py_scripts.py -v # To log INFO messages
./template_py_scripts.py -vv # To log DEBUG messages
options:
-h, --help show this help message and exit
-v, --verbose Increase verbosity of logging output
usage: git_log_to_scatter_plot.py [-h] [-v]
Generate scatter plot based on git commits
options:
-h, --help show this help message and exit
-v, --verbose Increase verbosity of logging output
usage: alfred-llm-prompts-import.py [-h] [-v]
Import prompts from awesome-chatgpt-prompts as Alfred Snippets
Usage:
$ ./alfred-llm-prompts-import.py
options:
-h, --help show this help message and exit
-v, --verbose Increase verbosity of logging output
usage: helium_selenium_wrapper.py [-h]
Demonstrates how to use helium to automate a web browser.
options:
-h, --help show this help message and exit
Add following dependencies in requirements/dev.txt
pre-commit
black
flake8
Run make deps to update dependencies
Create following files and add appropriate configurations
touch .flake8
touch .pre-commit-config.yaml
touch .pyproject.toml
Run pre-commit install to setup git hooks.
Commit and push all the changes