Metadata-Version: 2.1
Name: ladok3
Version: 3.2
Summary: Python wrapper and CLI for the LADOK3 REST API.
Home-page: https://github.com/dbosk/ladok3
License: MIT
Keywords: ladok3,ladok
Author: Daniel Bosk
Author-email: dbosk@kth.se
Requires-Python: >=3.8,<4.0
Classifier: Development Status :: 4 - Beta
Classifier: Environment :: Console
Classifier: Intended Audience :: Education
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3
Classifier: Topic :: Utilities
Requires-Dist: appdirs (>=1.4.4,<2.0.0)
Requires-Dist: argcomplete (>=2.0.0,<3.0.0)
Requires-Dist: cachetools (>=5.2.0,<6.0.0)
Requires-Dist: cryptography (>=37.0.3,<38.0.0)
Requires-Dist: keyring (>=23.6.0,<24.0.0)
Requires-Dist: requests (>=2.28.0,<3.0.0)
Requires-Dist: urllib3 (>=1.26.9,<2.0.0)
Requires-Dist: weblogin (>=1.4,<2.0)
Project-URL: Bug Tracker, https://github.com/dbosk/ladok3/issues
Project-URL: Repository, https://github.com/dbosk/ladok3
Project-URL: Releases, https://github.com/dbosk/ladok3/releases
Description-Content-Type: text/markdown

# 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.
Then we can report this result like this:
```bash
ladok report 123456-1234 AB1234 LAB1 -d 2021-03-15 -f
```

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.

### As a Python package

To use the package, it's just to import the package as usual.
```python
import ladok3

ls = ladok3.kth.LadokSession("user", "password")

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()
```

## 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.
  - `prgi.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: 
```
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:\
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;from Canvas: sortable name, user_id, and integration_id\
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;if you specified a course_id, you will also get KTHID and login_id\
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;from Ladok:  pnr (personnumber) and [program_code, program_name, specialization/track code, admissions info]



