Personal Project Portfolio
python
bash
powershell
readme, three scripts added in initial commit
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README.md
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README.md
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scripting/atproto-getCar.sh
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scripting/atproto-getCar.sh
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#!/bin/bash
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# <pds.domain> --replace with pds url, if you are using Bluesky PDS, enter bsky.social
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# <user account did> --replace with account did (decentralized identity document), can be found using tools like pdsls.dev
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# This is a simple retrival script using the XRPC endpoint for getRepo
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# which will download the CAR file for a specified account
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# This targets only Linux based systems with Bash installed
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# while the same command can be used on MacOS, it requires extra configuration for wget and the zsh shell
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wget https://<pds.domain>/xrpc/com.atproto.sync.getRepo?did=did:plc:<user account did>
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scripting/oneWayDiff.py
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scripting/oneWayDiff.py
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# This script will find differences between two csv files text strings
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# and write any missing lines to a new file
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#import csv module
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import csv
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# use open method to instantiate both files
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# replace filenames with local files, files must be in same folder as script file
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with open('<filename>', 'r') as f1, open('<filename2>', 'r') as f2:
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f1_lines = f1.readlines()
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f2_lines = f2.readlines()
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# use open method to iterate through both files looking for matches
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# write non-matches to new file
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with open('<outputfilename>', 'w') as difference_file:
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for line in f1_lines:
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if line not in f2_lines:
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difference_file.write(line)
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scripting/twoWayDiff.py
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scripting/twoWayDiff.py
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# This script will look for difference in two files by scanning both files against each other
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# and then outputting any missing lines to a new file.
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# import csv module
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import csv
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# instantiate both files using the open module
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# replace filenames with local files, files must be in same folder as script is run
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with open('<filename>', 'r') as f1, open('<filename2>', 'r') as f2:
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f1_lines = f1.readlines()
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f2_lines = f2.readlines()
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# use open module to iterate through lists and create output file
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# input desired filename in outputfilename area
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with open('<outputfilename>', 'w') as difference_file:
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for line in f1_lines:
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if line not in f2_lines:
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difference_file.write(line)
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for line in f2_lines:
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if line not in f1_lines:
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difference_file.write(line)