https://github.com/dbosk/ladok3
Python wrapper around the LADOK3 REST API.
https://github.com/dbosk/ladok3
api cli ladok ladok3 python3
Last synced: 4 months ago
JSON representation
Python wrapper around the LADOK3 REST API.
- Host: GitHub
- URL: https://github.com/dbosk/ladok3
- Owner: dbosk
- License: mit
- Created: 2020-12-16T14:47:44.000Z (over 5 years ago)
- Default Branch: master
- Last Pushed: 2026-02-18T13:32:11.000Z (4 months ago)
- Last Synced: 2026-03-04T20:57:46.660Z (4 months ago)
- Topics: api, cli, ladok, ladok3, python3
- Language: Makefile
- Homepage: https://pypi.org/project/ladok3/
- Size: 1.82 MB
- Stars: 7
- Watchers: 1
- Forks: 3
- Open Issues: 38
-
Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
- License: LICENSE
- Agents: AGENTS.md
Awesome Lists containing this project
README
# ladok3: Python wrapper for LADOK3 API
This package provides a wrapper for the LADOK3 API used by
[start.ladok.se][ladok]. This makes it easy to automate reporting grades,
compute statistics etc.
## Installation
To install, run:
```bash
pip install ladok3
sudo cp $(find / -name ladok.bash) /etc/bash_completion.d
ladok login
```
If you run the second line above, you'll get tab completion for the `ladok`
command when you use the `bash` shell.
The third command above is to log in, you only do this once.
An alternative to installing the package is to run the [Docker image][docker].
```bash
docker run -it dbosk/ladok3 /bin/bash
```
Or simply adapt your own image.
## Usage
There are two ways to use the package: as a Python package or through the
command-line tool `ladok`.
### On the command line
Let's assume that we have a student with personnummer 123456-1234.
Let's also assume that this student has taken a course with course code AB1234
and finished the module LAB1 on date 2021-03-15.
Say also that the student's assignments were graded by the teacher and two TAs:
- Daniel Bosk (teacher)
- Teaching Assistantsdotter
- Teaching Assistantsson
Then we can report this result like this:
```bash
ladok report 123456-1234 AB1234 LAB1 -d 2021-03-15 -f \
"Daniel Bosk " "Teaching Assistantsdotter " \
"Teaching Assistantsson "
```
If we use Canvas for all results, we can even report all results for a
course.
```bash
pip install canvaslms
canvaslms login
canvaslms results -c AB1234 -A LAB1 | ladok report -v
```
The `canvaslms results` command will export the results in CSV format, this
will be piped to `ladok report` that can read it and report it in bulk.
Most likely you'll need to pass the CSV through `sed` to change the column
containing the course identifier to just contain the course code. At KTH, the
course code attribute in Canvas contains course code and the semester. So I
have to `sed` away the semester part.
### As a Python package
To use the package, it's just to import the package as usual.
```python
import ladok3
credentials = {
"username": "dbosk@ug.kth.se",
"password": "password ..."
}
ls = ladok3.LadokSession("KTH Royal Institute of Technology",
vars=credentials)
student = ls.get_student("123456-1234")
course_participation = student.courses(code="AB1234")[0]
for result in course_participation.results():
print(f"{course_participation.code} {result.component}: "
f"{result.grade} ({result.date})")
component_result = course_participation.results(component="LAB1")[0]
component_result.set_grade("P", "2021-03-15")
component_result.finalize()
```
The simplest way, if you've already run `ladok login`, is to use the
module-level `session` attribute:
```python
import ladok3
student = ladok3.session.get_student("123456-1234")
# ...
```
Another way is to use the `load_credentials` function of the CLI.
```python
import ladok3
import ladok3.cli
ls = ladok3.LadokSession(*ladok3.cli.load_credentials())
student = ls.get_student("123456-1234")
# ...
```
If you want to reuse a cached session (to avoid re-authenticating), use
`get_session`:
```python
import ladok3.cli
ls, credentials = ladok3.cli.get_session()
student = ls.get_student("123456-1234")
# ...
```
## More documentation
There are more detailed usage examples in the details documentation that can be
round with the [releases][releases] and in the `examples` directory.
[ladok]: https://start.ladok.se
[docker]: https://hub.docker.com/repository/docker/dbosk/ladok3
[releases]: https://github.com/dbosk/ladok3/releases
# The examples
There are some examples that can be found in the `examples` directory:
- `example_LadokSession.py` just shows how to establish a session.
- `example_Course.py` shows course data related examples.
- `example_Student.py` shows student data related examples.
- `canvas2ladok.py` shows how to transfer grades from KTH Canvas to LADOK.
- `statsdata.py` shows how to extract data for doing statistics for a course
and the students' results.
We also have a few more examples described in the sections below.
## `canvas_ladok3_spreadsheet.py`
Purpose: Use the data in a Canvas course room together with the data from Ladok3 to create a spreadsheet of students in the course
and include their Canvas user_id, name, Ladok3 Uid, program_code, program name, etc.
Note that the course_id can be given as a numeric value or a string which will be matched against the courses in the user's dashboard cards. It will first match against course codes, then short name, then original names.
Input:
```
canvas_ladok3_spreadsheet.py canvas_course_id
```
Add the "-T" flag to run in the Ladok test environment.
Output: outputs a file ('users_programs-COURSE_ID.xlsx) containing a spreadsheet of the users information
```
canvas_ladok3_spreadsheet.py 12162
canvas_ladok3_spreadsheet.py -t 'II2202 HT20-1'
```
## `ladok3_course_instance_to_spreadsheet.py`
Purpose: Use the data in Ladok3 together with the data from Canvas to create a spreadsheet of students in a course
instance and include their Canvas user_id (or "not in Canvas" if they do not have a Canvas user_id), name, Ladok3 Uid, program_code, program name, etc.
Note that the course_id can be given as a numeric value or a string which will be matched against the courses in the user's dashboard cards. It will first match against course codes, then short name, then original names.
Input:
```
ladok3_course_instance_to_spreadsheet.py course_code course_instance
```
or
```
ladok3_course_instance_to_spreadsheet.py canvas_course_id
```
or
```
./ladok3_course_instance_to_spreadsheet.py course_code
```
Optionally include their personnumber with the flag -p or --personnumbers
Add the "-T" flag to run in the Ladok test environment.
Output: outputs a file ('users_programs-instance-COURSE_INSTANCE.xlsx) containing a spreadsheet of the users information
```
# for II2202 the P1 instance in 2019 the course instance is 50287
ladok3_course_instance_to_spreadsheet.py II2202 50287
```
or
```
# Canvas course_id for II2202 in P1 is 20979
ladok3_course_instance_to_spreadsheet.py 20979
```
or
```
# P1P2 is a nickname on a dashboard card for II2202 duing P1 and P2
./ladok3_course_instance_to_spreadsheet.py P1P2
```
## `canvas_students_missing_integration_ids.py`
Purpose: Use the data in a Canvas course room to create a spreadsheet of students in the course who are missing an integration ID.
Input:
```
canvas_students_missing_integration_ids.py canvas_course_id
```
Output: outputs a file ('users_without_integration_ids-COURSE_ID.xlsx) containing a spreadsheet of the users information
## `cl_user_info.py`
Purpose: Use the data in a Canvas course room together with the data from Ladok3 to find information about a user.
Input:
```
cl_user_info.py Canvas_user_id|KTHID|Ladok_id [course_id]
```
The course_id can be a Canvas course_id **or** if you have dashboard cards, you can specific a course code, a nickname, unique part of the short name or original course name.
Add the "-k" or '--kthid' flag to get the KTHID (i.e., the 'sis_user_id) you need to specify a course_id for a course (where this user is a teacher or student) on the command line.
Add the "-T" flag to run in the Ladok test environment.
If you know the Ladok_id, i.e., the integration_id - then you do not need to specify a course_id.
The program can also take an argument in the form https://canvas.kth.se/courses/course_id/users/user_id
- this is the URL when you are on a user's page in a course.
Output:\
from Canvas: sortable name, user_id, and integration_id\
if you specified a course_id, you will also get KTHID and login_id\
from Ladok: pnr (personnumber) and [program_code, program_name, specialization/track code, admissions info]