Been playing with opencommit and wanted to assess how much using it on every single commit I still could track locally might cost me.
This script loops through all the ${HOME}/git
directories and totals the commits made in last month.
Looks like using OpenAI’s api would cost me about $4-$5 if I’d used on every single commit and the size of the commits was smaller.
Not as bad as I’d thought it would be.
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#!/usr/bin/env bash
# Use https://github.com/sharkdp/fd
set -e
# Initialize variables
total_commits=0
username=$(whoami)
# Capture the directories found by fd to a variable
directories=$(fd -H --max-depth 6 "^\.git$" "$HOME/git")
# Loop through each directory
for directory in $directories; do
# Change to the git directory
printf "...⚙️ $(dirname $directory)" &&
pushd "$(dirname "$directory")" &&
# Get the repo name
repo=$(basename "$PWD") &&
# Get the count of commits made by a user with the partial name match of "username"
commits=$(git log \
--branches \
--author=".*${username}.*" \
--since="1 month ago" \
--no-merges \
--format="%H" | wc -l | awk "{print \$1}"
) &&
# Output the repo name and count of commits
printf "\t%-50s %-50s \n" "$repo", "$commits" &&
# Add to the total count of commits
total_commits=$((total_commits + commits)) &&
popd
done
# Output the total count of commits
echo "Total commits: $total_commits"
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