Toggl.py is a time report builder, taking data from Toggl time tracker using reports API.
It was created for internal use by students in Software Engineering program and tailored for academic purposes. However, I will be glad to hear it is used in industry as well.
At the moment three types of reports are available:
- team time report, charts with weekly teams effort
- individual time report, CSV file
- time logging violations, CSV
- detailed report with all logged entries, CSV
The only requirement is Python 2.4+.
This tool does not use any libraries besides standard functions. It does not use any kind of database or local storage to store past data, report is completely rebuilt for the given period every time. It introduces ~30 seconds of overhead for 6 month report period, which were sacrificed for tool portability and ease of use.
Get the code:
git clone [email protected]:user2589/Toggl.py.git
Then, adjust settings. There is an example settings file you can use as a template:
mv settings.exapmple.py settings.py
Following settings available:
api_token
- Toggl api token, you can find it in toggl profile. Good practice is to create a separate account with access to all monitored teams' workspaces.start_date
andend_date
- boundaries of the period monitored inYYY-MM-DD
format. In academia we use semesters, for industry use you might consider quarters.core_courses
- projects you want to get separated in stats. Everything else will be aggregated to a single entity, which will be named by value ofeverything_else
setting. It is named so because of the academic past of this tool.everything_else
- seecore_courses
descriptionreport date format
- data format to be used to name Mondays in weekly time reporttemplate
- string that will be used to format output. Common practice is to read content of html template right in the settings file.
Detailed report is a CSV file with columns: user, team, project, start, duration. To generate detailed report, run:
./detailed_report > detailed.csv
If you serve CSV reports by a web service, there is a nice visualization of the detailed report (check out the screenshot. Just put detais.html
into the same folder as CSV files, under the webroot directory of the HTTP server. Usually, it is a good idea to restrict access to detailed and individual reports for privacy purposes, e.g. by using htpasswd file for Apache2
Individual report is a CSV file, generated from detailed report by aggregating records by users and reporting weeks.
Example individual report opened in LibreOffice:
To produce this report, run:
cat detailed.csv | ./individual_report.py > individual.csv # if you already have a detailed report
./detailed_report | ./individual_report.py > individual.csv # if you don't have detailed report
./detailed_report | tee detailed.csv | ./individual_report.py > individual.csv # if you want to generate both
This report is a CSV list of suspicious time entries. It is generated by the script of individual report and printed to standard error output. What is treated as violation:
- overlapping time entries
- time entry stretching more than N hours (10 by default)
- time records without project
An example of violations report opened in LibreOffice:
To produce save this report into file, run:
cat detailed.csv | ./individual_report.py 2> violations.csv # to produce logging violations report only
cat detailed.csv | ./individual_report.py > individual.csv 2> violations.csv # to produce both individual and violation reports at once
./detailed_report.py | tee detailed.csv | ./individual_report.py 2> violations.csv > individual.csv # if you want to generate all three: detailed, individual and violations report
Team weekly report is HTML file with charts generated from individual report using template stored in settings.
Example of the report produced with default template:
To produce the report, run:
cat individual.csv | ./team_report.py > team_report.html # output to a fixed file name
cat individual.csv | ./team_report.py > `date +Week_%b%d.html` # name report file by the date it is produced
Putting it altogether:
./detailed_report.py | tee detailed.csv | ./individual_report.py 2> violations.csv | tee individual.csv | ./team_report.py > `date +Week_%b%d.html`
This report produced by team_report.py
using template. Template string is set in settings.template and it is just a format string. It is passed four variables for formatting in JSON:
week_labels
is a list of Mondays insettings.report_date_format
. Example:
["Jan 12", "Jan 19", "Jan 26", "Feb 02", "Feb 09", "Feb 16"]
teams
is a list of team names taken from Toggl. Example:
["Team Alpha", "Team Bravo", "Team Charlie"]
courses
list of courses fromsettings.core_courses
plus one more entity named bysettings.everything_else
. If there are no time records for some project, it will not be included in report. Example:
["Project Sunshine", "Project Smile", "other stuffs"]
report_data
- actual report data in formatreport.course.team.weekly_data
. Example:
{
"Project Sunshine": {
"Team Alpha": [3.64, 10.29, 10.54, nul, ...],
"Team Bravo": [3.24, 7.26, 8.89, nul, ...],
...
},
...
}
Please note that default template contains a workaround not to count Spring Break towards total number of weeks. Look for spring_break_idx
in template.html, set it blank if you don't need this feature.
Distributed under MIT License