{
    "info": {
        "author": "Asher Pembroke",
        "author_email": "apembroke@gmail.com",
        "bugtrack_url": null,
        "classifiers": [
            "License :: OSI Approved :: MIT License",
            "Operating System :: OS Independent",
            "Programming Language :: Python :: 3.6"
        ],
        "description": "\n\n```python\n%load_ext autoreload\n\n%autoreload 2\n```\n\n# Hourly\nA simple hour tracker for git projects. ```hourly``` parses your commit messages for \"clock in/out\" keywords and uses their unix timestamps to precisely calculate work hours.\n\n\n## Getting Started\n\n## Install\n\n    pip install hourly\n\n\n### Requirements\n\n\tpandas\n    gitpython\n\n### Usage\n\nHourly will look for key words for clocking in/out.\n\nTo clock in:\n\n    git commit -m \"clock in - starting work on new feature\"\n\ndo stuff as usual, then clock out\n\n    git commit -m \"clock out - finished feature\"\n\n\n# Tutorial\n\nWe can illustrate how to use hourly on the hourly repo itself.\n\n    git clone https://github.com/asherp/hourly.git\n    cd hourly\n\n\n```python\nfrom hourly.hourly import get_work_commits, get_labor, get_earnings\n```\n\n```get_work_commits``` gathers all commits into a pandas array\n\n\n```python\nwork = get_work_commits('.')\nwork\n```\n\n    c:\\programdata\\miniconda2\\lib\\site-packages\\pandas\\core\\sorting.py:257: FutureWarning: Converting timezone-aware DatetimeArray to timezone-naive ndarray with 'datetime64[ns]' dtype. In the future, this will return an ndarray with 'object' dtype where each element is a 'pandas.Timestamp' with the correct 'tz'.\n    \tTo accept the future behavior, pass 'dtype=object'.\n    \tTo keep the old behavior, pass 'dtype=\"datetime64[ns]\"'.\n      items = np.asanyarray(items)\n\n\n\n\n\n<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>message</th>\n      <th>hash</th>\n    </tr>\n    <tr>\n      <th>time</th>\n      <th></th>\n      <th></th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>2018-10-19 23:40:41-04:00</th>\n      <td>Initial commit</td>\n      <td>ef5690543bfb354b9325d1fbd1f9abbafbb4d9a4</td>\n    </tr>\n    <tr>\n      <th>2018-10-19 23:57:48-04:00</th>\n      <td>clock in</td>\n      <td>5c8f05b57b739ec525291c248ea9200651b49997</td>\n    </tr>\n    <tr>\n      <th>2018-10-20 00:21:40-04:00</th>\n      <td>preparing setup.py</td>\n      <td>254ecdacb52fc70bc358f8d55be58df3b70c7609</td>\n    </tr>\n    <tr>\n      <th>2018-10-20 00:39:11-04:00</th>\n      <td>clock out - work done for the day</td>\n      <td>0e33fa3d74f663f954b05dd9f30e0128ca7af162</td>\n    </tr>\n    <tr>\n      <th>2018-10-20 01:06:08-04:00</th>\n      <td>clock in - start adding requirements and examp...</td>\n      <td>dc065b17337b14c2f8e0458de61e6880a338d6ae</td>\n    </tr>\n    <tr>\n      <th>2018-10-20 01:47:01-04:00</th>\n      <td>clock out</td>\n      <td>644ad6ebf4c9015fd512ed47b858602d784d6204</td>\n    </tr>\n    <tr>\n      <th>2018-10-20 01:47:45-04:00</th>\n      <td>clock in - pro bono</td>\n      <td>e6b5f78daa68e3731f82effccb66fd4bd14996bf</td>\n    </tr>\n    <tr>\n      <th>2018-10-20 01:51:36-04:00</th>\n      <td>clock out - pro bono</td>\n      <td>1aff88af5e9688645966ccd15da8e1530205cfea</td>\n    </tr>\n    <tr>\n      <th>2018-10-20 02:03:56-04:00</th>\n      <td>clock in - finishing tutorial</td>\n      <td>53bd7316e579d8582c46af09277b40fbba3a390e</td>\n    </tr>\n    <tr>\n      <th>2018-10-20 02:11:54-04:00</th>\n      <td>clock out - converted notebook for README</td>\n      <td>d55b5718a3178ab6161f7e3a148c6561a305cd79</td>\n    </tr>\n    <tr>\n      <th>2018-10-20 02:14:21-04:00</th>\n      <td>had to clock out so notebook examples don't break</td>\n      <td>d9ec537b36475b565df6b28d0cab6edc3a89f2da</td>\n    </tr>\n    <tr>\n      <th>2018-10-20 02:18:27-04:00</th>\n      <td>fixed for rendering</td>\n      <td>e2f8a2ca212fa9e7568618934da18a0ec7164fa3</td>\n    </tr>\n    <tr>\n      <th>2018-10-20 02:22:56-04:00</th>\n      <td>fixing requiremens that raised a security alert</td>\n      <td>e0e71a05c6c5af1fc5515040ec75f33b71bd3b15</td>\n    </tr>\n    <tr>\n      <th>2018-10-20 02:51:13-04:00</th>\n      <td>fixed requirements, tutorial updates</td>\n      <td>d8d87767005022c9a8e83015d40f6fb736f2b73b</td>\n    </tr>\n    <tr>\n      <th>2018-10-20 02:57:22-04:00</th>\n      <td>merging</td>\n      <td>f5585c89612a5fac2d948ee61536fffe276f8949</td>\n    </tr>\n    <tr>\n      <th>2018-10-20 03:24:58-04:00</th>\n      <td>Remove autoreload</td>\n      <td>b2c1d8677ea57aeb959350d663475ba3077f2c96</td>\n    </tr>\n    <tr>\n      <th>2018-10-20 11:53:00-04:00</th>\n      <td>clock in - handling errant messages</td>\n      <td>fa615994ba6b771594d711dea6087cc7ba0348b5</td>\n    </tr>\n    <tr>\n      <th>2018-10-20 13:16:13-04:00</th>\n      <td>clock out - converting to pd.Timestamp</td>\n      <td>ed7aab29e43e7120428816481216198a255de8f4</td>\n    </tr>\n    <tr>\n      <th>2018-10-20 13:47:56-04:00</th>\n      <td>clock in - adding work log</td>\n      <td>5b398037bf24cd503a7fc88c3b078913fa184f7e</td>\n    </tr>\n    <tr>\n      <th>2018-10-20 14:33:35-04:00</th>\n      <td>clock out - see WorkLog.md</td>\n      <td>93c2aa04aeba7cfe1573205abec053c7da9e9864</td>\n    </tr>\n    <tr>\n      <th>2018-10-20 14:35:58-04:00</th>\n      <td>merged</td>\n      <td>6a7f4ac45de70d94fb943d0676265cafd5bf1e41</td>\n    </tr>\n    <tr>\n      <th>2018-10-20 17:34:38-04:00</th>\n      <td>pushing version</td>\n      <td>2b633644d6ba24b9c1bbff6881a99df6ab935a8d</td>\n    </tr>\n    <tr>\n      <th>2018-10-28 13:44:48-04:00</th>\n      <td>clock in</td>\n      <td>c4e95f59dc0c8ce296a40300760ab68800f7e139</td>\n    </tr>\n    <tr>\n      <th>2018-10-28 13:56:35-04:00</th>\n      <td>clock out</td>\n      <td>f5200e718c062e828d436506286fd05e56b606c5</td>\n    </tr>\n    <tr>\n      <th>2018-11-23 13:51:05-05:00</th>\n      <td>changed formatting of wages earned</td>\n      <td>9630e123f8748bb8260da27498e3600a3271e4c2</td>\n    </tr>\n    <tr>\n      <th>2018-11-23 14:14:38-05:00</th>\n      <td>changed license to Apache 2.0'</td>\n      <td>b7791826f2df0212ce49b51b621dd7e7cc0d6f14</td>\n    </tr>\n    <tr>\n      <th>2019-02-25 10:19:10-05:00</th>\n      <td>clock in T-1hr</td>\n      <td>d7add63b4d2e3e1ca1423296aaed25d9c28944da</td>\n    </tr>\n    <tr>\n      <th>2019-02-25 12:49:51-05:00</th>\n      <td>clock out T-5m</td>\n      <td>acfb8596317786e38177345aa2531098043a5c49</td>\n    </tr>\n  </tbody>\n</table>\n</div>\n\n\n\n```get_labor``` calculates hours worked by differencing commit timestamps and raises an error if clock in and clock out are of different lengths.\n\n### Getting time card\n\n\n```python\nimport pandas as pd\npd.set_option('display.width', 400)\n```\n\n\n```python\nget_labor(work, end_date='2018-10-20 02:11:54-04:00')\n```\n\n    pay period: 2018-10-19 23:57:48-04:00 -> 2018-10-20 02:11:54-04:00\n\n\n\n\n\n<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>TimeIn</th>\n      <th>log in</th>\n      <th>TimeOut</th>\n      <th>log out</th>\n      <th>TimeDelta</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>2018-10-19 23:57:48-04:00</td>\n      <td>clock in</td>\n      <td>2018-10-20 00:39:11-04:00</td>\n      <td>clock out - work done for the day</td>\n      <td>00:41:23</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2018-10-20 01:06:08-04:00</td>\n      <td>clock in - start adding requirements and examp...</td>\n      <td>2018-10-20 01:47:01-04:00</td>\n      <td>clock out</td>\n      <td>00:40:53</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>2018-10-20 01:47:45-04:00</td>\n      <td>clock in - pro bono</td>\n      <td>2018-10-20 01:51:36-04:00</td>\n      <td>clock out - pro bono</td>\n      <td>00:03:51</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>2018-10-20 02:03:56-04:00</td>\n      <td>clock in - finishing tutorial</td>\n      <td>2018-10-20 02:11:54-04:00</td>\n      <td>clock out - converted notebook for README</td>\n      <td>00:07:58</td>\n    </tr>\n  </tbody>\n</table>\n</div>\n\n\n\n### Handling errant clock in/out messages\nIf you mistakenly put \"clock out\" in a message, hourly will interpret the message as a legitimate end time. This will likely raise an error when computing the labor. For example, there is a problematic commit in the this repo's history:\n\n\n```python\nproblematic_commit = work[work.hash == 'd9ec537b36475b565df6b28d0cab6edc3a89f2da']\nproblematic_commit\n```\n\n\n\n\n<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>message</th>\n      <th>hash</th>\n    </tr>\n    <tr>\n      <th>time</th>\n      <th></th>\n      <th></th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>2018-10-20 02:14:21-04:00</th>\n      <td>had to clock out so notebook examples don't break</td>\n      <td>d9ec537b36475b565df6b28d0cab6edc3a89f2da</td>\n    </tr>\n  </tbody>\n</table>\n</div>\n\n\n\nWhen we include this in our labor calculation, we get the following error:\n\n\n```python\ntry:\n    get_labor(work, end_date = '2018-10-20 13:16:13-04:00')\nexcept ValueError as e:\n    print(e)\n```\n\n    pay period: 2018-10-19 23:57:48-04:00 -> 2018-10-20 13:16:13-04:00\n    In/Out logs do not match\n\n\nWe can skip this errant commit by setting ```errant_clocks```\n\n\n```python\nget_labor(work, end_date = '2018-10-20 13:16:13-04:00', \n          errant_clocks = ['d9ec537b36475b565df6b28d0cab6edc3a89f2da'])\n```\n\n    pay period: 2018-10-19 23:57:48-04:00 -> 2018-10-20 13:16:13-04:00\n\n\n\n\n\n<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>TimeIn</th>\n      <th>log in</th>\n      <th>TimeOut</th>\n      <th>log out</th>\n      <th>TimeDelta</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>2018-10-19 23:57:48-04:00</td>\n      <td>clock in</td>\n      <td>2018-10-20 00:39:11-04:00</td>\n      <td>clock out - work done for the day</td>\n      <td>00:41:23</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2018-10-20 01:06:08-04:00</td>\n      <td>clock in - start adding requirements and examp...</td>\n      <td>2018-10-20 01:47:01-04:00</td>\n      <td>clock out</td>\n      <td>00:40:53</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>2018-10-20 01:47:45-04:00</td>\n      <td>clock in - pro bono</td>\n      <td>2018-10-20 01:51:36-04:00</td>\n      <td>clock out - pro bono</td>\n      <td>00:03:51</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>2018-10-20 02:03:56-04:00</td>\n      <td>clock in - finishing tutorial</td>\n      <td>2018-10-20 02:11:54-04:00</td>\n      <td>clock out - converted notebook for README</td>\n      <td>00:07:58</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>2018-10-20 11:53:00-04:00</td>\n      <td>clock in - handling errant messages</td>\n      <td>2018-10-20 13:16:13-04:00</td>\n      <td>clock out - converting to pd.Timestamp</td>\n      <td>01:23:13</td>\n    </tr>\n  </tbody>\n</table>\n</div>\n\n\n\n### Filtering work session keywords\n\nUse the \"ignore\" key word to skip any work you don't want to include in your invoices.\n\n\n```python\nlabor = get_labor(work, \n            ignore = 'pro bono', \n            end_date = '2018-10-20 13:16:13-04:00',\n            errant_clocks = ['d9ec537b36475b565df6b28d0cab6edc3a89f2da'])\nlabor\n```\n\n    pay period: 2018-10-19 23:57:48-04:00 -> 2018-10-20 13:16:13-04:00\n    ignoring pro bono\n\n\n\n\n\n<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>TimeIn</th>\n      <th>log in</th>\n      <th>TimeOut</th>\n      <th>log out</th>\n      <th>TimeDelta</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>2018-10-19 23:57:48-04:00</td>\n      <td>clock in</td>\n      <td>2018-10-20 00:39:11-04:00</td>\n      <td>clock out - work done for the day</td>\n      <td>00:41:23</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2018-10-20 01:06:08-04:00</td>\n      <td>clock in - start adding requirements and examp...</td>\n      <td>2018-10-20 01:47:01-04:00</td>\n      <td>clock out</td>\n      <td>00:40:53</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>2018-10-20 02:03:56-04:00</td>\n      <td>clock in - finishing tutorial</td>\n      <td>2018-10-20 02:11:54-04:00</td>\n      <td>clock out - converted notebook for README</td>\n      <td>00:07:58</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>2018-10-20 11:53:00-04:00</td>\n      <td>clock in - handling errant messages</td>\n      <td>2018-10-20 13:16:13-04:00</td>\n      <td>clock out - converting to pd.Timestamp</td>\n      <td>01:23:13</td>\n    </tr>\n  </tbody>\n</table>\n</div>\n\n\n\n## Get total earnings\n\nTotal earnings can be found using this function. Currency is just a string for printing, but in the future we can add unit conversion.\n\n\n```python\nget_earnings(labor, wage = 30, currency = 'USD')\n```\n\n    0 days 02:53:27, 2.89 hours worked\n    86.72 USD\n\n\n\n\n\n    86.72\n\n\n\n# Time adjustment\n\nIf you forget to clock in or clock out, you can correct your time sheet by adjusting your clock time. By default, Hourly adjusts time stamps automatically when a commit message contains the keyword \"T-\". Set ```correct_times``` to false to override this behavior.\n\n\n```python\nwork = get_work_commits('.', correct_times=False) # reports the actual time of the commit\nwork = work[work.message.str.contains('T-')] #filter by T-\nwork\n```\n\n\n\n\n<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>message</th>\n      <th>hash</th>\n    </tr>\n    <tr>\n      <th>time</th>\n      <th></th>\n      <th></th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>2019-02-25 11:19:10-05:00</th>\n      <td>clock in T-1hr</td>\n      <td>d7add63b4d2e3e1ca1423296aaed25d9c28944da</td>\n    </tr>\n    <tr>\n      <th>2019-02-25 12:54:51-05:00</th>\n      <td>clock out T-5m</td>\n      <td>acfb8596317786e38177345aa2531098043a5c49</td>\n    </tr>\n  </tbody>\n</table>\n</div>\n\n\n\n\n```python\nwork = get_work_commits('.') # reports actual work time, according to commit message\nwork = work[work.message.str.contains('T-')] #filter by T-\nwork\n```\n\n\n\n\n<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>message</th>\n      <th>hash</th>\n    </tr>\n    <tr>\n      <th>time</th>\n      <th></th>\n      <th></th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>2019-02-25 10:19:10-05:00</th>\n      <td>clock in T-1hr</td>\n      <td>d7add63b4d2e3e1ca1423296aaed25d9c28944da</td>\n    </tr>\n    <tr>\n      <th>2019-02-25 12:49:51-05:00</th>\n      <td>clock out T-5m</td>\n      <td>acfb8596317786e38177345aa2531098043a5c49</td>\n    </tr>\n  </tbody>\n</table>\n</div>\n\n\n\nNote: Only time subtractions are supported for now.\n\n### Time delta formats\n\nHourly uses pandas' Timedelta format to modify times. This allows for a lot of flexibility.\n\n\n```python\npd.Timedelta('1hr45m')\n```\n\n\n\n\n    Timedelta('0 days 01:45:00')\n\n\n\n\n",
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