See git commits over the last N days, across all your local repositories. A tool for disorganised people, who are trying to do better.

git-diary.py

#!/usr/bin/env python2
"""
Run this script in the folder that contains all of your Git repositories
to see an ordered summary of your commits from the past N days.

Output is tab-delimited, so suggested usage (to see last month's worth of work) is:

cd ~/git_repo_folder/
python git-diary.py 30 | column -ts $'\t'
"""

import os
import subprocess
from glob import glob
import datetime
import time
import sys
import pandas as pd

def pretty_date(t):
    return datetime.datetime.fromtimestamp(t).strftime('%Y-%m-%d %H:%M:%S')

heads = glob('*/.git/logs/HEAD') # Find git repos
dirs = [p.split('/')[0] for p in heads]

# How many days to look in the past?
# Either passed as an argument, or prompted.
if len(sys.argv) == 2:
    since = int(sys.argv[1])
else:
    since = input('How many days to go back? ')
now_unix = time.time()
seconds_per_day = 60*60*24
since_unix = now_unix - since*seconds_per_day


cmd = ['git', 'log',
       '--pretty=format:"%ad - %s"',
       '--since=%i' % since_unix, '--date=iso']

# Cycle through repos and get recent commits
all_logs = []
for d in dirs:
    os.chdir(d)
    logs = subprocess.check_output(cmd).replace('\"', '').split('\n')
    if logs == [['']] or logs == ['']:
        pass
    else:
        try:
            logs = [log.split(' - ') for log in logs]
            log_df = pd.DataFrame()
            log_df['time'] = [pd.to_datetime(log[0]) for log in logs]
            log_df['msg'] = [log[1] for log in logs]
            log_df['dir'] = d
            all_logs.append(log_df)
        except Exception as e:
            print 'Error processing %s' % d
            print e
            print logs
    os.chdir('..')
log = pd.concat(all_logs).sort_values(by='time')
log = log[['dir', 'time', 'msg']]

# Print output
for i, l in log.iterrows():
    print '\t'.join([str(v) for v in l])