Canvas-tools

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Some tools for use with the Canvas LMS.

Canvas-tools 최신버젼 다운로드

최종 버전 다운로드 (.zip)

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# Canvas-tools
Tools for use with Instructure.com's Canvas LMS. These tools
are intended to be examples of how one can use the Canvas Restful API and to
provide some useful functionality (mainly for teachers).

Programs can be called with the option "-v" or "--verbose" you get lots of output - showing in detail the operations of the program.

Additionally, programs can be called with an alternative configuration file using the syntax: --config FILE

for example:  --config config-test.json

See the default-config.json file for an example of the structure of this file. Replace the string xxx by your access token and replace the string yyy.instructure.com with the name of the server where your Canvas LMS is running.

======================================================================
## list_your_courses_JSON.py

### Purpose
To list the courses of the user runinng the program

### Input
No input
```bash
list_your_courses_JSON.py
```

### Output
Outputs JSON for user's courses

Example (edited to show only some of the output):
```bash
list_your_courses_JSON.py
```
```JSON
[   {   'account_id': 42,
        'apply_assignment_group_weights': False,
        'blueprint': False,
        'calendar': {   'ics': 'https://kth.instructure.com/feeds/calendars/course_tvlR3Myd7jh5GZ71BV44uXb1WkYfpzq0lHCBJ7hR.ics'},
        'course_code': 'Chip',
        'created_at': '2016-06-10T07:58:47Z',
        'default_view': 'wiki',
        'end_at': None,
        'enrollment_term_id': 1,
        'enrollments': [   {   'enrollment_state': 'active',
                               'role': 'TeacherEnrollment',
                               'role_id': 4,
                               'type': 'teacher',
                               'user_id': 29}],
        'grading_standard_id': 40,
        'hide_final_grades': False,
        'id': 11,
        'integration_id': None,
        'is_public': True,
        'is_public_to_auth_users': False,
        'locale': 'en',
        'name': "Chip's sandbox",
        'original_name': 'Chip sandbox',
        'public_syllabus': True,
        'public_syllabus_to_auth': False,
        'restrict_enrollments_to_course_dates': False,
        'root_account_id': 1,
        'sis_course_id': None,
        'start_at': '2016-08-13T11:15:00Z',
        'storage_quota_mb': 5000,
        'time_zone': 'Europe/Stockholm',
        'uuid': 'tvlR3Myd7jh5GZ71BV44uXb1WkYfpzq0lHCBJ7hR',
        'workflow_state': 'available'},
        'workflow_state': 'unpublished'}]
```

## list_your_courses.py

### Purpose
To list the courses of the user runinng the program

### Input
None

```bash
list_your_courses.py
```

### Output
Outputs a file (courses-self.xlsx) containing a spreadsheet of the user's courses

```bash
list_your_courses.py
```

## users-in-course.py

### Purpose
To get a list of the users in a course together with their sections and avatars

### Input
```bash
users-in-course.py course_id
```

### Output
XLSX spreadsheet with textual section names and URL to user's avatar

Note that getting the avatars takes some time, hence this is optional

### Examples
```bash
users-in-course.py --config config-test.json 6434

users-in-course.py --config config-test.json --avatar 6434

users-in-course.py --config config-test.json --avatar -p 11

To make images 90x90 pixels in size:
  users-in-course.py --config config-test.json --avatar -p -s 90 11
```

## modules-in-course.py

### Purpose
To list the modules in a course in a spreadsheet

### Input
Takes course_id as an argument
```bash
modules-in-course.py course_id
```

### Output
Outputs a spreadsheet named 'modules-'+course_id+'.xlsx'

### Examples
```bash
modules-in-course.py 11

modules-in-course.py --config config-test.json 11
```

## modules-items-in-course.py
### Purpose
To list the module items in a course in a spreadsheet

### Input
Takes course_id as an argument
```bash
module-items-in-course.py course_id
```

### Output
Outputs a spreadsheet named 'module-items-'+course_id+'.xlsx'

### Examples
```bash
module-items-in-course.py 11

module-items-in-course.py --config config-test.json 11
```

## assignments-in-course.py

### Purpose
To list the assignments in a course in a spreadsheet
It also gets the course syllabus and saves it as an HTML file.

### Input
Takes course_id as an argument
```bash
assignments-in-course.py course_id
```

### Output
Outputs a spreadsheet named 'assignments-'+course_id+'.xlsx'

### Examples
```bash
assignments-in-course.py 11

assignments-in-course.py --config config-test.json 11
```

### Note
The reason for getting the syllabus is that some courses may use it to refer to the content covered in the course.

## quizzes-in-course.py
### Purpose
To list the quizzes in a course in a spreadsheet

### Input
Takes course_id as an argument
```bash
quizzes-in-course.py course_id
```

### Output
Outputs a spreadsheet named 'quizzes-'+course_id+'.xlsx'

### Examples
```bash
quizzes-in-course.py 11

quizzes-in-course.py --config config-test.json 11
```

## custom-columns-in-course.py

### Purpose
To list the custom columns in a spreadsheet

### Input
```bash
custom-columns-in-course.py course_id
```

### Example
```bash
custom-columns-in-course.py 1585
```

## delete-custom-columns-in-course.py

### Purpose
To delete a custom column or all custom columns from a course

### Input
```bash
To delete a specific custom column:
  delete-custom-columns-in-course.py course_id column_id

To delete aall custom column:
  delete-custom-columns-in-course.py -a course_id

```

### Examples
```bash
Delete one column:
  delete-custom-columns-in-course.py 12683 1118

Delete all columns:
  delete-custom-columns-in-course.py -v --config config-test.json -a 12683
```

## create-sections-in-course.py

### Purpose
To create sections in a course

### Input
```bash
create-sections-in-course.py course_id [section_name]  [section_name]  [section_name] ...
```

### Output
None

### Example
```bash
create-sections-in-course.py --config config-test.json 12683  'Test section'  'Test section2'
```

## delete-sections-in-course.py

### Purpose
To delete indicated section(s) of a course

### Input
```bash
delete-sections-in-course.py course_id section_id
```

### Output
deleting section id=NNNN with name=SSSSSS

### Example

```bash
delete-sections-in-course.py -v --config config-test.json 12683 16164

To delete all sections:
./delete-sections-in-course.py -a --config config-test.json 12683
```

## my-files.py

### Purpose
To output a XLSX spreadsheet of the files for the user running the program

### Input

```bash
./my-files.py
```

### Output
none

### Example

```bash
    ./my-files.py

./my-files.py --config config-test.json 11

for testing - skips some files:
   ./my-files.py -t

./my-files.py -t --config config-test.json

```

## create-fake-users-in-course.py
### Purpose
To create a set of fake users in a Canvas instance and enroll them in a course

### Input

```bash
./create-fake-users-in-course.py account_id course_id
```

### Output
nothing

### Example

```bash
./create-fake-users-in-course.py 1 4

./create-fake-users-in-course.py --config config-test.json 1 4
```

## insert_AFPFFx_grading_standards.py

### Purpose
 To insert an A-F and Fx grading scheme, as well as a P/F and Fx grading scheme in either a course or an account.

### Input

```bash
insert_AFPFFx_grading_standards.py -a account_id
  or
insert_AFPFFx_grading_standards.py    course_id

```

### Output
outputs a little information as it works

Examples:
```bash
insert_AFPFFx_grading_standards.py -v 11
insert_AFPFFx_grading_standards.py -v --config config-test.json 11

```
 
## custom-data-for-users-in-course.py

### Purpose
 To display custom data that is stored with a user in Canvas.

### Input

```bash
./custom-data-for-users-in-course.py course_id

the name space is 'se.kth.canvas-app.program_of_study'
the scope is 'program_of_study'

```

### Output
the custom data associated with the name space and scope for each user in the selected course

Examples:
```bash
 ./custom-data-for-users-in-course.py 4

./custom-data-for-users-in-course.py --config config-test.json 4

```
Can be used With the option '-C'or '--containers' use HTTP rather than HTTPS for access to Canvas in containers in a VM.

```bash
./custom-data-for-users-in-course.py -v 4
ARGV      : ['-v', '4']
VERBOSE   : True
REMAINING : ['4']
Configuration file : None
url: http://canvas.docker/api/v1/courses/4/enrollments
result of getting enrollments: [{"id":4,"user_id":3,"course_id":4,"type":"StudentEnrollment","created_at":"2019-01-30T14:13:42Z","updated_at":"2019-02-02T14:07:49Z","associated_user_id":null,"start_at":null,"end_at":null,"course_section_id":2,"root_account_id":1,"limit_privileges_to_course_section":false,"enrollment_state":"active","role":"StudentEnrollment","role_id":3,"last_activity_at":null,"last_attended_at":null,"total_activity_time":0,"sis_import_id":null,"grades":{"html_url":"http://canvas.docker/courses/4/grades/3","current_score":null,"current_grade":null,"final_score":null,"final_grade":null,"unposted_current_score":null,"unposted_current_grade":null,"unposted_final_score":null,"unposted_final_grade":null},"sis_account_id":null,"sis_course_id":null,"course_integration_id":null,"sis_section_id":null,"section_integration_id":null,"sis_user_id":"z1","html_url":"http://canvas.docker/courses/4/users/3","user":{"id":3,"name":"Ann FakeStudent","created_at":"2019-01-30T15:13:31+01:00","sortable_name":"FakeStudent, Ann","short_name":"Ann","sis_user_id":"z1","integration_id":null,"sis_import_id":null,"login_id":"s1"}},{"id":5,"user_id":4,"course_id":4,"type":"StudentEnrollment","created_at":"2019-01-30T14:15:56Z","updated_at":"2019-02-02T14:07:49Z","associated_user_id":null,"start_at":null,"end_at":null,"course_section_id":2,"root_account_id":1,"limit_privileges_to_course_section":false,"enrollment_state":"active","role":"StudentEnrollment","role_id":3,"last_activity_at":null,"last_attended_at":null,"total_activity_time":0,"sis_import_id":null,"grades":{"html_url":"http://canvas.docker/courses/4/grades/4","current_score":null,"current_grade":null,"final_score":null,"final_grade":null,"unposted_current_score":null,"unposted_current_grade":null,"unposted_final_score":null,"unposted_final_grade":null},"sis_account_id":null,"sis_course_id":null,"course_integration_id":null,"sis_section_id":null,"section_integration_id":null,"sis_user_id":"z2","html_url":"http://canvas.docker/courses/4/users/4","user":{"id":4,"name":"Bertil FakeStudent","created_at":"2019-01-30T15:13:32+01:00","sortable_name":"FakeStudent, Bertil","short_name":"Bertil","sis_user_id":"z2","integration_id":null,"sis_import_id":null,"login_id":"s2"}},{"id":6,"user_id":5,"course_id":4,"type":"StudentEnrollment","created_at":"2019-01-30T14:15:56Z","updated_at":"2019-02-02T14:07:49Z","associated_user_id":null,"start_at":null,"end_at":null,"course_section_id":2,"root_account_id":1,"limit_privileges_to_course_section":false,"enrollment_state":"active","role":"StudentEnrollment","role_id":3,"last_activity_at":null,"last_attended_at":null,"total_activity_time":0,"sis_import_id":null,"grades":{"html_url":"http://canvas.docker/courses/4/grades/5","current_score":null,"current_grade":null,"final_score":null,"final_grade":null,"unposted_current_score":null,"unposted_current_grade":null,"unposted_final_score":null,"unposted_final_grade":null},"sis_account_id":null,"sis_course_id":null,"course_integration_id":null,"sis_section_id":null,"section_integration_id":null,"sis_user_id":"z3","html_url":"http://canvas.docker/courses/4/users/5","user":{"id":5,"name":"Cenric FakeStudent","created_at":"2019-01-30T15:13:33+01:00","sortable_name":"FakeStudent, Cenric","short_name":"Cenric","sis_user_id":"z3","integration_id":null,"sis_import_id":null,"login_id":"s3"}},{"id":7,"user_id":6,"course_id":4,"type":"StudentEnrollment","created_at":"2019-01-30T14:15:57Z","updated_at":"2019-02-02T14:07:49Z","associated_user_id":null,"start_at":null,"end_at":null,"course_section_id":2,"root_account_id":1,"limit_privileges_to_course_section":false,"enrollment_state":"active","role":"StudentEnrollment","role_id":3,"last_activity_at":null,"last_attended_at":null,"total_activity_time":0,"sis_import_id":null,"grades":{"html_url":"http://canvas.docker/courses/4/grades/6","current_score":null,"current_grade":null,"final_score":null,"final_grade":null,"unposted_current_score":null,"unposted_current_grade":null,"unposted_final_score":null,"unposted_final_grade":null},"sis_account_id":null,"sis_course_id":null,"course_integration_id":null,"sis_section_id":null,"section_integration_id":null,"sis_user_id":"z4","html_url":"http://canvas.docker/courses/4/users/6","user":{"id":6,"name":"David FakeStudent","created_at":"2019-01-30T15:13:34+01:00","sortable_name":"FakeStudent, David","short_name":"David","sis_user_id":"z4","integration_id":null,"sis_import_id":null,"login_id":"s4"}},{"id":8,"user_id":7,"course_id":4,"type":"StudentEnrollment","created_at":"2019-01-30T14:15:58Z","updated_at":"2019-02-02T14:07:49Z","associated_user_id":null,"start_at":null,"end_at":null,"course_section_id":2,"root_account_id":1,"limit_privileges_to_course_section":false,"enrollment_state":"active","role":"StudentEnrollment","role_id":3,"last_activity_at":"2019-02-06T14:53:12Z","last_attended_at":null,"total_activity_time":77235,"sis_import_id":null,"grades":{"html_url":"http://canvas.docker/courses/4/grades/7","current_score":null,"current_grade":null,"final_score":null,"final_grade":null,"unposted_current_score":null,"unposted_current_grade":null,"unposted_final_score":null,"unposted_final_grade":null},"sis_account_id":null,"sis_course_id":null,"course_integration_id":null,"sis_section_id":null,"section_integration_id":null,"sis_user_id":"z5","html_url":"http://canvas.docker/courses/4/users/7","user":{"id":7,"name":"Ellen FakeStudent","created_at":"2019-01-30T15:13:34+01:00","sortable_name":"FakeStudent, Ellen","short_name":" Ellen","sis_user_id":"z5","integration_id":null,"sis_import_id":null,"login_id":"s5"}},{"id":9,"user_id":8,"course_id":4,"type":"StudentEnrollment","created_at":"2019-01-30T14:15:58Z","updated_at":"2019-02-02T14:07:49Z","associated_user_id":null,"start_at":null,"end_at":null,"course_section_id":2,"root_account_id":1,"limit_privileges_to_course_section":false,"enrollment_state":"active","role":"StudentEnrollment","role_id":3,"last_activity_at":null,"last_attended_at":null,"total_activity_time":0,"sis_import_id":null,"grades":{"html_url":"http://canvas.docker/courses/4/grades/8","current_score":null,"current_grade":null,"final_score":null,"final_grade":null,"unposted_current_score":null,"unposted_current_grade":null,"unposted_final_score":null,"unposted_final_grade":null},"sis_account_id":null,"sis_course_id":null,"course_integration_id":null,"sis_section_id":null,"section_integration_id":null,"sis_user_id":"z6","html_url":"http://canvas.docker/courses/4/users/8","user":{"id":8,"name":"Fran FakeStudent","created_at":"2019-01-30T15:13:35+01:00","sortable_name":"FakeStudent, Fran","short_name":"Fran","sis_user_id":"z6","integration_id":null,"sis_import_id":null,"login_id":"s6"}},{"id":10,"user_id":9,"course_id":4,"type":"StudentEnrollment","created_at":"2019-01-30T14:15:59Z","updated_at":"2019-02-02T14:07:49Z","associated_user_id":null,"start_at":null,"end_at":null,"course_section_id":2,"root_account_id":1,"limit_privileges_to_course_section":false,"enrollment_state":"active","role":"StudentEnrollment","role_id":3,"last_activity_at":null,"last_attended_at":null,"total_activity_time":0,"sis_import_id":null,"grades":{"html_url":"http://canvas.docker/courses/4/grades/9","current_score":null,"current_grade":null,"final_score":null,"final_grade":null,"unposted_current_score":null,"unposted_current_grade":null,"unposted_final_score":null,"unposted_final_grade":null},"sis_account_id":null,"sis_course_id":null,"course_integration_id":null,"sis_section_id":null,"section_integration_id":null,"sis_user_id":"z7","html_url":"http://canvas.docker/courses/4/users/9","user":{"id":9,"name":"Gordon FakeStudent","created_at":"2019-01-30T15:13:36+01:00","sortable_name":"FakeStudent, Gordon","short_name":"Gordon","sis_user_id":"z7","integration_id":null,"sis_import_id":null,"login_id":"s7"}},{"id":11,"user_id":10,"course_id":4,"type":"StudentEnrollment","created_at":"2019-01-30T14:15:59Z","updated_at":"2019-02-02T14:07:49Z","associated_user_id":null,"start_at":null,"end_at":null,"course_section_id":2,"root_account_id":1,"limit_privileges_to_course_section":false,"enrollment_state":"active","role":"StudentEnrollment","role_id":3,"last_activity_at":null,"last_attended_at":null,"total_activity_time":0,"sis_import_id":null,"grades":{"html_url":"http://canvas.docker/courses/4/grades/10","current_score":null,"current_grade":null,"final_score":null,"final_grade":null,"unposted_current_score":null,"unposted_current_grade":null,"unposted_final_score":null,"unposted_final_grade":null},"sis_account_id":null,"sis_course_id":null,"course_integration_id":null,"sis_section_id":null,"section_integration_id":null,"sis_user_id":"z8","html_url":"http://canvas.docker/courses/4/users/10","user":{"id":10,"name":"Håkan FakeStudent","created_at":"2019-01-30T15:13:37+01:00","sortable_name":"FakeStudent, Håkan","short_name":"Håkan","sis_user_id":"z8","integration_id":null,"sis_import_id":null,"login_id":"s8"}},{"id":12,"user_id":11,"course_id":4,"type":"StudentEnrollment","created_at":"2019-01-30T14:16:00Z","updated_at":"2019-02-02T14:07:49Z","associated_user_id":null,"start_at":null,"end_at":null,"course_section_id":2,"root_account_id":1,"limit_privileges_to_course_section":false,"enrollment_state":"active","role":"StudentEnrollment","role_id":3,"last_activity_at":null,"last_attended_at":null,"total_activity_time":0,"sis_import_id":null,"grades":{"html_url":"http://canvas.docker/courses/4/grades/11","current_score":null,"current_grade":null,"final_score":null,"final_grade":null,"unposted_current_score":null,"unposted_current_grade":null,"unposted_final_score":null,"unposted_final_grade":null},"sis_account_id":null,"sis_course_id":null,"course_integration_id":null,"sis_section_id":null,"section_integration_id":null,"sis_user_id":"z9","html_url":"http://canvas.docker/courses/4/users/11","user":{"id":11,"name":"Ibǘy FakeStudent","created_at":"2019-01-30T15:13:39+01:00","sortable_name":"FakeStudent, Ibǘy","short_name":"Ibǘy","sis_user_id":"z9","integration_id":null,"sis_import_id":null,"login_id":"s9"}},{"id":13,"user_id":12,"course_id":4,"type":"StudentEnrollment","created_at":"2019-01-30T14:16:00Z","updated_at":"2019-02-02T14:07:49Z","associated_user_id":null,"start_at":null,"end_at":null,"course_section_id":2,"root_account_id":1,"limit_privileges_to_course_section":false,"enrollment_state":"active","role":"StudentEnrollment","role_id":3,"last_activity_at":"2019-02-06T14:00:42Z","last_attended_at":null,"total_activity_time":173942,"sis_import_id":null,"grades":{"html_url":"http://canvas.docker/courses/4/grades/12","current_score":null,"current_grade":null,"final_score":null,"final_grade":null,"unposted_current_score":null,"unposted_current_grade":null,"unposted_final_score":null,"unposted_final_grade":null},"sis_account_id":null,"sis_course_id":null,"course_integration_id":null,"sis_section_id":null,"section_integration_id":null,"sis_user_id":"z10","html_url":"http://canvas.docker/courses/4/users/12","user":{"id":12,"name":"James FakeStudent","created_at":"2019-01-30T15:13:40+01:00","sortable_name":"FakeStudent, James","short_name":"James","sis_user_id":"z10","integration_id":null,"sis_import_id":null,"login_id":"s10"}},{"id":15,"user_id":14,"course_id":4,"type":"StudentEnrollment","created_at":"2019-02-06T09:18:21Z","updated_at":"2019-02-06T09:19:20Z","associated_user_id":null,"start_at":null,"end_at":null,"course_section_id":2,"root_account_id":1,"limit_privileges_to_course_section":false,"enrollment_state":"active","role":"StudentEnrollment","role_id":3,"last_activity_at":"2019-02-06T14:22:28Z","last_attended_at":null,"total_activity_time":8471,"sis_import_id":null,"grades":{"html_url":"http://canvas.docker/courses/4/grades/14","current_score":null,"current_grade":null,"final_score":null,"final_grade":null,"unposted_current_score":null,"unposted_current_grade":null,"unposted_final_score":null,"unposted_final_grade":null},"sis_account_id":null,"sis_course_id":null,"course_integration_id":null,"sis_section_id":null,"section_integration_id":null,"sis_user_id":"z13","html_url":"http://canvas.docker/courses/4/users/14","user":{"id":14,"name":"Quentin FakeStudent","created_at":"2019-02-06T10:12:16+01:00","sortable_name":"FakeStudent, Quentin","short_name":"Quentin FakeStudent","sis_user_id":"z13","integration_id":null,"sis_import_id":null,"login_id":"s13"}},{"id":14,"user_id":13,"course_id":4,"type":"StudentViewEnrollment","created_at":"2019-02-02T11:36:20Z","updated_at":"2019-02-02T14:07:49Z","associated_user_id":null,"start_at":null,"end_at":null,"course_section_id":2,"root_account_id":1,"limit_privileges_to_course_section":false,"enrollment_state":"active","role":"StudentEnrollment","role_id":3,"last_activity_at":"2019-02-03T09:47:40Z","last_attended_at":null,"total_activity_time":13288,"sis_import_id":null,"grades":{"html_url":"http://canvas.docker/courses/4/grades/13","current_score":null,"current_grade":null,"final_score":null,"final_grade":null,"unposted_current_score":null,"unposted_current_grade":null,"unposted_final_score":null,"unposted_final_grade":null},"sis_account_id":null,"sis_course_id":null,"course_integration_id":null,"sis_section_id":null,"section_integration_id":null,"sis_user_id":null,"html_url":"http://canvas.docker/courses/4/users/13","user":{"id":13,"name":"Test Student","created_at":"2019-02-02T12:36:19+01:00","sortable_name":"Student, Test","short_name":"Test 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[{'id': 4, 'user_id': 3, 'course_id': 4, 'type': 'StudentEnrollment', 'created_at': '2019-01-30T14:13:42Z', 'updated_at': '2019-02-02T14:07:49Z', 'associated_user_id': None, 'start_at': None, 'end_at': None, 'course_section_id': 2, 'root_account_id': 1, 'limit_privileges_to_course_section': False, 'enrollment_state': 'active', 'role': 'StudentEnrollment', 'role_id': 3, 'last_activity_at': None, 'last_attended_at': None, 'total_activity_time': 0, 'sis_import_id': None, 'grades': {'html_url': 'http://canvas.docker/courses/4/grades/3', 'current_score': None, 'current_grade': None, 'final_score': None, 'final_grade': None, 'unposted_current_score': None, 'unposted_current_grade': None, 'unposted_final_score': None, 'unposted_final_grade': None}, 'sis_account_id': None, 'sis_course_id': None, 'course_integration_id': None, 'sis_section_id': None, 'section_integration_id': None, 'sis_user_id': 'z1', 'html_url': 'http://canvas.docker/courses/4/users/3', 'user': {'id': 3, 'name': 'Ann FakeStudent', 'created_at': '2019-01-30T15:13:31+01:00', 'sortable_name': 'FakeStudent, Ann', 'short_name': 'Ann', 'sis_user_id': 'z1', 'integration_id': None, 'sis_import_id': None, 'login_id': 's1'}}, {'id': 5, 'user_id': 4, 'course_id': 4, 'type': 'StudentEnrollment', 'created_at': '2019-01-30T14:15:56Z', 'updated_at': '2019-02-02T14:07:49Z', 'associated_user_id': None, 'start_at': None, 'end_at': None, 'course_section_id': 2, 'root_account_id': 1, 'limit_privileges_to_course_section': False, 'enrollment_state': 'active', 'role': 'StudentEnrollment', 'role_id': 3, 'last_activity_at': None, 'last_attended_at': None, 'total_activity_time': 0, 'sis_import_id': None, 'grades': {'html_url': 'http://canvas.docker/courses/4/grades/4', 'current_score': None, 'current_grade': None, 'final_score': None, 'final_grade': None, 'unposted_current_score': None, 'unposted_current_grade': None, 'unposted_final_score': None, 'unposted_final_grade': None}, 'sis_account_id': None, 'sis_course_id': None, 'course_integration_id': None, 'sis_section_id': None, 'section_integration_id': None, 'sis_user_id': 'z2', 'html_url': 'http://canvas.docker/courses/4/users/4', 'user': {'id': 4, 'name': 'Bertil FakeStudent', 'created_at': '2019-01-30T15:13:32+01:00', 'sortable_name': 'FakeStudent, Bertil', 'short_name': 'Bertil', 'sis_user_id': 'z2', 'integration_id': None, 'sis_import_id': None, 'login_id': 's2'}}, {'id': 6, 'user_id': 5, 'course_id': 4, 'type': 'StudentEnrollment', 'created_at': '2019-01-30T14:15:56Z', 'updated_at': '2019-02-02T14:07:49Z', 'associated_user_id': None, 'start_at': None, 'end_at': None, 'course_section_id': 2, 'root_account_id': 1, 'limit_privileges_to_course_section': False, 'enrollment_state': 'active', 'role': 'StudentEnrollment', 'role_id': 3, 'last_activity_at': None, 'last_attended_at': None, 'total_activity_time': 0, 'sis_import_id': None, 'grades': {'html_url': 'http://canvas.docker/courses/4/grades/5', 'current_score': None, 'current_grade': None, 'final_score': None, 'final_grade': None, 'unposted_current_score': None, 'unposted_current_grade': None, 'unposted_final_score': None, 'unposted_final_grade': None}, 'sis_account_id': None, 'sis_course_id': None, 'course_integration_id': None, 'sis_section_id': None, 'section_integration_id': None, 'sis_user_id': 'z3', 'html_url': 'http://canvas.docker/courses/4/users/5', 'user': {'id': 5, 'name': 'Cenric FakeStudent', 'created_at': '2019-01-30T15:13:33+01:00', 'sortable_name': 'FakeStudent, Cenric', 'short_name': 'Cenric', 'sis_user_id': 'z3', 'integration_id': None, 'sis_import_id': None, 'login_id': 's3'}}, {'id': 7, 'user_id': 6, 'course_id': 4, 'type': 'StudentEnrollment', 'created_at': '2019-01-30T14:15:57Z', 'updated_at': '2019-02-02T14:07:49Z', 'associated_user_id': None, 'start_at': None, 'end_at': None, 'course_section_id': 2, 'root_account_id': 1, 'limit_privileges_to_course_section': False, 'enrollment_state': 'active', 'role': 'StudentEnrollment', 'role_id': 3, 'last_activity_at': None, 'last_attended_at': None, 'total_activity_time': 0, 'sis_import_id': None, 'grades': {'html_url': 'http://canvas.docker/courses/4/grades/6', 'current_score': None, 'current_grade': None, 'final_score': None, 'final_grade': None, 'unposted_current_score': None, 'unposted_current_grade': None, 'unposted_final_score': None, 'unposted_final_grade': None}, 'sis_account_id': None, 'sis_course_id': None, 'course_integration_id': None, 'sis_section_id': None, 'section_integration_id': None, 'sis_user_id': 'z4', 'html_url': 'http://canvas.docker/courses/4/users/6', 'user': {'id': 6, 'name': 'David FakeStudent', 'created_at': '2019-01-30T15:13:34+01:00', 'sortable_name': 'FakeStudent, David', 'short_name': 'David', 'sis_user_id': 'z4', 'integration_id': None, 'sis_import_id': None, 'login_id': 's4'}}, {'id': 8, 'user_id': 7, 'course_id': 4, 'type': 'StudentEnrollment', 'created_at': '2019-01-30T14:15:58Z', 'updated_at': '2019-02-02T14:07:49Z', 'associated_user_id': None, 'start_at': None, 'end_at': None, 'course_section_id': 2, 'root_account_id': 1, 'limit_privileges_to_course_section': False, 'enrollment_state': 'active', 'role': 'StudentEnrollment', 'role_id': 3, 'last_activity_at': '2019-02-06T14:53:12Z', 'last_attended_at': None, 'total_activity_time': 77235, 'sis_import_id': None, 'grades': {'html_url': 'http://canvas.docker/courses/4/grades/7', 'current_score': None, 'current_grade': None, 'final_score': None, 'final_grade': None, 'unposted_current_score': None, 'unposted_current_grade': None, 'unposted_final_score': None, 'unposted_final_grade': None}, 'sis_account_id': None, 'sis_course_id': None, 'course_integration_id': None, 'sis_section_id': None, 'section_integration_id': None, 'sis_user_id': 'z5', 'html_url': 'http://canvas.docker/courses/4/users/7', 'user': {'id': 7, 'name': 'Ellen FakeStudent', 'created_at': '2019-01-30T15:13:34+01:00', 'sortable_name': 'FakeStudent, Ellen', 'short_name': ' Ellen', 'sis_user_id': 'z5', 'integration_id': None, 'sis_import_id': None, 'login_id': 's5'}}, {'id': 9, 'user_id': 8, 'course_id': 4, 'type': 'StudentEnrollment', 'created_at': '2019-01-30T14:15:58Z', 'updated_at': '2019-02-02T14:07:49Z', 'associated_user_id': None, 'start_at': None, 'end_at': None, 'course_section_id': 2, 'root_account_id': 1, 'limit_privileges_to_course_section': False, 'enrollment_state': 'active', 'role': 'StudentEnrollment', 'role_id': 3, 'last_activity_at': None, 'last_attended_at': None, 'total_activity_time': 0, 'sis_import_id': None, 'grades': {'html_url': 'http://canvas.docker/courses/4/grades/8', 'current_score': None, 'current_grade': None, 'final_score': None, 'final_grade': None, 'unposted_current_score': None, 'unposted_current_grade': None, 'unposted_final_score': None, 'unposted_final_grade': None}, 'sis_account_id': None, 'sis_course_id': None, 'course_integration_id': None, 'sis_section_id': None, 'section_integration_id': None, 'sis_user_id': 'z6', 'html_url': 'http://canvas.docker/courses/4/users/8', 'user': {'id': 8, 'name': 'Fran FakeStudent', 'created_at': '2019-01-30T15:13:35+01:00', 'sortable_name': 'FakeStudent, Fran', 'short_name': 'Fran', 'sis_user_id': 'z6', 'integration_id': None, 'sis_import_id': None, 'login_id': 's6'}}, {'id': 10, 'user_id': 9, 'course_id': 4, 'type': 'StudentEnrollment', 'created_at': '2019-01-30T14:15:59Z', 'updated_at': '2019-02-02T14:07:49Z', 'associated_user_id': None, 'start_at': None, 'end_at': None, 'course_section_id': 2, 'root_account_id': 1, 'limit_privileges_to_course_section': False, 'enrollment_state': 'active', 'role': 'StudentEnrollment', 'role_id': 3, 'last_activity_at': None, 'last_attended_at': None, 'total_activity_time': 0, 'sis_import_id': None, 'grades': {'html_url': 'http://canvas.docker/courses/4/grades/9', 'current_score': None, 'current_grade': None, 'final_score': None, 'final_grade': None, 'unposted_current_score': None, 'unposted_current_grade': None, 'unposted_final_score': None, 'unposted_final_grade': None}, 'sis_account_id': None, 'sis_course_id': None, 'course_integration_id': None, 'sis_section_id': None, 'section_integration_id': None, 'sis_user_id': 'z7', 'html_url': 'http://canvas.docker/courses/4/users/9', 'user': {'id': 9, 'name': 'Gordon FakeStudent', 'created_at': '2019-01-30T15:13:36+01:00', 'sortable_name': 'FakeStudent, Gordon', 'short_name': 'Gordon', 'sis_user_id': 'z7', 'integration_id': None, 'sis_import_id': None, 'login_id': 's7'}}, {'id': 11, 'user_id': 10, 'course_id': 4, 'type': 'StudentEnrollment', 'created_at': '2019-01-30T14:15:59Z', 'updated_at': '2019-02-02T14:07:49Z', 'associated_user_id': None, 'start_at': None, 'end_at': None, 'course_section_id': 2, 'root_account_id': 1, 'limit_privileges_to_course_section': False, 'enrollment_state': 'active', 'role': 'StudentEnrollment', 'role_id': 3, 'last_activity_at': None, 'last_attended_at': None, 'total_activity_time': 0, 'sis_import_id': None, 'grades': {'html_url': 'http://canvas.docker/courses/4/grades/10', 'current_score': None, 'current_grade': None, 'final_score': None, 'final_grade': None, 'unposted_current_score': None, 'unposted_current_grade': None, 'unposted_final_score': None, 'unposted_final_grade': None}, 'sis_account_id': None, 'sis_course_id': None, 'course_integration_id': None, 'sis_section_id': None, 'section_integration_id': None, 'sis_user_id': 'z8', 'html_url': 'http://canvas.docker/courses/4/users/10', 'user': {'id': 10, 'name': 'Håkan FakeStudent', 'created_at': '2019-01-30T15:13:37+01:00', 'sortable_name': 'FakeStudent, Håkan', 'short_name': 'Håkan', 'sis_user_id': 'z8', 'integration_id': None, 'sis_import_id': None, 'login_id': 's8'}}, {'id': 12, 'user_id': 11, 'course_id': 4, 'type': 'StudentEnrollment', 'created_at': '2019-01-30T14:16:00Z', 'updated_at': '2019-02-02T14:07:49Z', 'associated_user_id': None, 'start_at': None, 'end_at': None, 'course_section_id': 2, 'root_account_id': 1, 'limit_privileges_to_course_section': False, 'enrollment_state': 'active', 'role': 'StudentEnrollment', 'role_id': 3, 'last_activity_at': None, 'last_attended_at': None, 'total_activity_time': 0, 'sis_import_id': None, 'grades': {'html_url': 'http://canvas.docker/courses/4/grades/11', 'current_score': None, 'current_grade': None, 'final_score': None, 'final_grade': None, 'unposted_current_score': None, 'unposted_current_grade': None, 'unposted_final_score': None, 'unposted_final_grade': None}, 'sis_account_id': None, 'sis_course_id': None, 'course_integration_id': None, 'sis_section_id': None, 'section_integration_id': None, 'sis_user_id': 'z9', 'html_url': 'http://canvas.docker/courses/4/users/11', 'user': {'id': 11, 'name': 'Ibǘy FakeStudent', 'created_at': '2019-01-30T15:13:39+01:00', 'sortable_name': 'FakeStudent, Ibǘy', 'short_name': 'Ibǘy', 'sis_user_id': 'z9', 'integration_id': None, 'sis_import_id': None, 'login_id': 's9'}}, {'id': 13, 'user_id': 12, 'course_id': 4, 'type': 'StudentEnrollment', 'created_at': '2019-01-30T14:16:00Z', 'updated_at': '2019-02-02T14:07:49Z', 'associated_user_id': None, 'start_at': None, 'end_at': None, 'course_section_id': 2, 'root_account_id': 1, 'limit_privileges_to_course_section': False, 'enrollment_state': 'active', 'role': 'StudentEnrollment', 'role_id': 3, 'last_activity_at': '2019-02-06T14:00:42Z', 'last_attended_at': None, 'total_activity_time': 173942, 'sis_import_id': None, 'grades': {'html_url': 'http://canvas.docker/courses/4/grades/12', 'current_score': None, 'current_grade': None, 'final_score': None, 'final_grade': None, 'unposted_current_score': None, 'unposted_current_grade': None, 'unposted_final_score': None, 'unposted_final_grade': None}, 'sis_account_id': None, 'sis_course_id': None, 'course_integration_id': None, 'sis_section_id': None, 'section_integration_id': None, 'sis_user_id': 'z10', 'html_url': 'http://canvas.docker/courses/4/users/12', 'user': {'id': 12, 'name': 'James FakeStudent', 'created_at': '2019-01-30T15:13:40+01:00', 'sortable_name': 'FakeStudent, James', 'short_name': 'James', 'sis_user_id': 'z10', 'integration_id': None, 'sis_import_id': None, 'login_id': 's10'}}, {'id': 15, 'user_id': 14, 'course_id': 4, 'type': 'StudentEnrollment', 'created_at': '2019-02-06T09:18:21Z', 'updated_at': '2019-02-06T09:19:20Z', 'associated_user_id': None, 'start_at': None, 'end_at': None, 'course_section_id': 2, 'root_account_id': 1, 'limit_privileges_to_course_section': False, 'enrollment_state': 'active', 'role': 'StudentEnrollment', 'role_id': 3, 'last_activity_at': '2019-02-06T14:22:28Z', 'last_attended_at': None, 'total_activity_time': 8471, 'sis_import_id': None, 'grades': {'html_url': 'http://canvas.docker/courses/4/grades/14', 'current_score': None, 'current_grade': None, 'final_score': None, 'final_grade': None, 'unposted_current_score': None, 'unposted_current_grade': None, 'unposted_final_score': None, 'unposted_final_grade': None}, 'sis_account_id': None, 'sis_course_id': None, 'course_integration_id': None, 'sis_section_id': None, 'section_integration_id': None, 'sis_user_id': 'z13', 'html_url': 'http://canvas.docker/courses/4/users/14', 'user': {'id': 14, 'name': 'Quentin FakeStudent', 'created_at': '2019-02-06T10:12:16+01:00', 'sortable_name': 'FakeStudent, Quentin', 'short_name': 'Quentin FakeStudent', 'sis_user_id': 'z13', 'integration_id': None, 'sis_import_id': None, 'login_id': 's13'}}, {'id': 14, 'user_id': 13, 'course_id': 4, 'type': 'StudentViewEnrollment', 'created_at': '2019-02-02T11:36:20Z', 'updated_at': '2019-02-02T14:07:49Z', 'associated_user_id': None, 'start_at': None, 'end_at': None, 'course_section_id': 2, 'root_account_id': 1, 'limit_privileges_to_course_section': False, 'enrollment_state': 'active', 'role': 'StudentEnrollment', 'role_id': 3, 'last_activity_at': '2019-02-03T09:47:40Z', 'last_attended_at': None, 'total_activity_time': 13288, 'sis_import_id': None, 'grades': {'html_url': 'http://canvas.docker/courses/4/grades/13', 'current_score': None, 'current_grade': None, 'final_score': None, 'final_grade': None, 'unposted_current_score': None, 'unposted_current_grade': None, 'unposted_final_score': None, 'unposted_final_grade': None}, 'sis_account_id': None, 'sis_course_id': None, 'course_integration_id': None, 'sis_section_id': None, 'section_integration_id': None, 'sis_user_id': None, 'html_url': 'http://canvas.docker/courses/4/users/13', 'user': {'id': 13, 'name': 'Test Student', 'created_at': '2019-02-02T12:36:19+01:00', 'sortable_name': 'Student, Test', 'short_name': 'Test Student', 'sis_user_id': None, 'integration_id': None, 'sis_import_id': None, 'login_id': '8054dc7dea06ac29b246be030ededb30a6197af0'}}, {'id': 3, 'user_id': 1, 'course_id': 4, 'type': 'TeacherEnrollment', 'created_at': '2018-12-23T17:45:34Z', 'updated_at': '2019-02-02T14:07:49Z', 'associated_user_id': None, 'start_at': None, 'end_at': None, 'course_section_id': 2, 'root_account_id': 1, 'limit_privileges_to_course_section': False, 'enrollment_state': 'active', 'role': 'TeacherEnrollment', 'role_id': 4, 'last_activity_at': '2019-02-06T19:25:13Z', 'last_attended_at': None, 'total_activity_time': 445591, 'sis_import_id': None, 'sis_account_id': None, 'sis_course_id': None, 'course_integration_id': None, 'sis_section_id': None, 'section_integration_id': None, 'sis_user_id': 'z0', 'html_url': 'http://canvas.docker/courses/4/users/1', 'user': {'id': 1, 'name': 'chip.maguire@gmail.com', 'created_at': '2018-12-12T12:08:59+01:00', 'sortable_name': 'chip.maguire@gmail.com', 'short_name': 'chip.maguire@gmail.com', 'sis_user_id': 'z0', 'integration_id': None, 'sis_import_id': None, 'login_id': 'chip.maguire@gmail.com'}}]
user name=Ann FakeStudent with id=4 and sis_id=z1
url: http://canvas.docker/api/v1/users/sis_user_id:z1/custom_data/program_of_study
result of getting custom data: {"data":{"programs":[{"code":"FakeFake","name":"Fake program","start":1600}]}}
result of getting custom data for user Ann FakeStudent is {'data': {'programs': [{'code': 'FakeFake', 'name': 'Fake program', 'start': 1600}]}}
user name=Bertil FakeStudent with id=5 and sis_id=z2
url: http://canvas.docker/api/v1/users/sis_user_id:z2/custom_data/program_of_study
result of getting custom data: {"data":{"programs":[{"code":"CDATE","name":"Degree Programme in Computer Science and Engineering","start":2016}]}}
result of getting custom data for user Bertil FakeStudent is {'data': {'programs': [{'code': 'CDATE', 'name': 'Degree Programme in Computer Science and Engineering', 'start': 2016}]}}
user name=Cenric FakeStudent with id=6 and sis_id=z3
url: http://canvas.docker/api/v1/users/sis_user_id:z3/custom_data/program_of_study
result of getting custom data: {"data":{"programs":[{"code":"CINTE","name":"Degree Programme in Information and Communication Technology","start":2016}]}}
result of getting custom data for user Cenric FakeStudent is {'data': {'programs': [{'code': 'CINTE', 'name': 'Degree Programme in Information and Communication Technology', 'start': 2016}]}}
user name=David FakeStudent with id=7 and sis_id=z4
url: http://canvas.docker/api/v1/users/sis_user_id:z4/custom_data/program_of_study
result of getting custom data: {"data":{"programs":[{"code":"CINTE","name":"Degree Programme in Information and Communication Technology","start":2016}]}}
result of getting custom data for user David FakeStudent is {'data': {'programs': [{'code': 'CINTE', 'name': 'Degree Programme in Information and Communication Technology', 'start': 2016}]}}
user name=Ellen FakeStudent with id=8 and sis_id=z5
url: http://canvas.docker/api/v1/users/sis_user_id:z5/custom_data/program_of_study
result of getting custom data: {"data":{"programs":[{"code":"CDATE","name":"Degree Programme in Computer Science and Engineering","start":2016}]}}
result of getting custom data for user Ellen FakeStudent is {'data': {'programs': [{'code': 'CDATE', 'name': 'Degree Programme in Computer Science and Engineering', 'start': 2016}]}}
user name=Fran FakeStudent with id=9 and sis_id=z6
url: http://canvas.docker/api/v1/users/sis_user_id:z6/custom_data/program_of_study
result of getting custom data: {"data":{"programs":[{"code":"TEBSM","name":"Master's Programme, Embedded Systems, 120 credits","start":2016}]}}
result of getting custom data for user Fran FakeStudent is {'data': {'programs': [{'code': 'TEBSM', 'name': "Master's Programme, Embedded Systems, 120 credits", 'start': 2016}]}}
user name=Gordon FakeStudent with id=10 and sis_id=z7
url: http://canvas.docker/api/v1/users/sis_user_id:z7/custom_data/program_of_study
result of getting custom data: {"data":{"programs":[{"code":"CDATE","name":"Degree Programme in Computer Science and Engineering","start":2016}]}}
result of getting custom data for user Gordon FakeStudent is {'data': {'programs': [{'code': 'CDATE', 'name': 'Degree Programme in Computer Science and Engineering', 'start': 2016}]}}
user name=Håkan FakeStudent with id=11 and sis_id=z8
url: http://canvas.docker/api/v1/users/sis_user_id:z8/custom_data/program_of_study
result of getting custom data: {"data":{"programs":[{"code":"TCOMM","name":"Master's Programme, Communication Systems, 120 credits","start":2016}]}}
result of getting custom data for user Håkan FakeStudent is {'data': {'programs': [{'code': 'TCOMM', 'name': "Master's Programme, Communication Systems, 120 credits", 'start': 2016}]}}
user name=Ibǘy FakeStudent with id=12 and sis_id=z9
url: http://canvas.docker/api/v1/users/sis_user_id:z9/custom_data/program_of_study
result of getting custom data: {"data":{"programs":[{"code":"CELTE","name":"Degree Programme in Electrical Engineering","start":2016}]}}
result of getting custom data for user Ibǘy FakeStudent is {'data': {'programs': [{'code': 'CELTE', 'name': 'Degree Programme in Electrical Engineering', 'start': 2016}]}}
user name=James FakeStudent with id=13 and sis_id=z10
url: http://canvas.docker/api/v1/users/sis_user_id:z10/custom_data/program_of_study
result of getting custom data: {"data":{"programs":[{"code":"TIVNM","name":"Master's Programme, ICT Innovation, 120 credits","start":2016}]}}
result of getting custom data for user James FakeStudent is {'data': {'programs': [{'code': 'TIVNM', 'name': "Master's Programme, ICT Innovation, 120 credits", 'start': 2016}]}}
user name=Quentin FakeStudent with id=15 and sis_id=z13
url: http://canvas.docker/api/v1/users/sis_user_id:z13/custom_data/program_of_study
result of getting custom data: {"message":"no data for scope"}
result of getting custom data for user Quentin FakeStudent is []
user name=Test Student with id=14 and sis_id=None
url: http://canvas.docker/api/v1/users/14/custom_data/program_of_study
result of getting custom data: {"message":"no data for scope"}
result of getting custom data for user Test Student is []
user name=chip.maguire@gmail.com with id=3 and sis_id=z0
url: http://canvas.docker/api/v1/users/sis_user_id:z0/custom_data/program_of_study
result of getting custom data: {"errors":[{"message":"The specified resource does not exist."}],"error_report_id":642}
result of getting custom data for user chip.maguire@gmail.com is []
url: http://canvas.docker/api/v1/users/self/custom_data/program_of_study
result of getting custom data: {"data":{"programs":[{"code":"FakeFake","name":"Fake program","start":1600}]}}
result of getting custom data for user self is {'data': {'programs': [{'code': 'FakeFake', 'name': 'Fake program', 'start': 1600}]}}
```

## list-external-tools-for-course.py

### Purpose
 To external tools for a Canvas course

### Input

```bash
list-external-tool-for-course.py  course_id tool_id 'navigation_text'

```

### Output
a list of external tools for the given course_id

### Example

With the option '-C'or '--containers' use HTTP rather than HTTPS for access to Canvas
With the option "-v" or "--verbose" you get lots of output - showing in detail the operations of the program
```bash
list-external-tools-for-course.py -C 5

Can also be called with an alternative configuration file:
list-external-tools-for-course.py --config config-test.json 4

list-external-tools-for-course.py 4
```

## add-external-tool-for-course.py
### Purpose
 To add an external to to a Canvas course

### Input

```bash
add-external-tool-for-course.py  course_id tool_id 'navigation_text'

```

### Output
a list of external tools for the given course_id

### Example

Can also be called with an alternative configuration file:
add-external-tool-for-course.py --config config-test.json 4 2 'TestTool'

add-external-tool-for-course.py -C 5 2 'TestTool'
```

## list_calendar_events.py

### Purpose
 To output calendar events into an XLSX file

### Input

```bash
./list_calendar_events.py user_id
```

### Output
outputs a file with a name of the form: calendar-user_id.xlsx

## create_calendar_event.py

### Purpose
 To be able to experiment with creating calendar events.

### Input

```bash
./create_calendar_event.py user_id date title description
```

### Output
Nothing

### Note
Can be modified to use a course or a user content.

## list_calendar_events.py

### Purpose
 Create a spreadsheet of a user's calendar events

### Input

```bash
./list_calendar_events.py user_id
```

### Output
XLSX spreadsheet of the user's calendar events. The format of the file name is: calendar-user_id.xlsx

## custom-columns-in-course.py

### Purpose
 To output all of the customn columns in a course as a spreadsheet

### Input

```bash
./custom-columns-in-course.py course_id
```

### Output
A XLSX spreadsheet with all of the information from the custom columns in a given course.

## insert-custom-columns-from-spreadsheet.py

### Purpose
 To enter data into the names customn columns in a course from a spreadsheet

### Input

```bash
insert-custom-columns-from-spreadsheet.py  course_id column_name_1 column_name_2 ...
```

### Output
Updates the gradebook

## add-columns-for-II2202-final-presentation.py
### Purpose
 To create custom columns in the gradebook to make it easier for each teacher to take notes during the final presentation (avoiding the user of a spreadsheet).

### Input

```bash
add-columns-for-II2202-final-presentation.py  course_id start_date end_date
```

### Output
Adds the columns to the course's gradebook and populates the "Opponents" columns with the name of the student's peer reviwer and populates the "Oral presentation date/time" columns with the date and time of the oral presentation as scheduled in the calendar.

### Note
The columns are custom columns that can have up to ~256 characters entered into them. This is a limitation of the custom columns due to their underlying representation in the database used by Canvas.

### Example

```
For II2202 P1 the assignment to use to learn who the opponents are is set as follows
        opposition_assignment_name="Opposition before final seminar"
then the program is run as:
./add-columns-for-II2202-final-presentation.py 6434 2019-01-01 2019-02-01
```

## insert-group_column_in_gradebook.py

### Purpose
 Inserts a custom column with the indicated name using the data from
from the named groupset (it will create the column as necessary).  Note that
one can optionally strip a fixed prefix from the group names. For example, if
each group name begins with "Project group" followed by space and a number
then
   ./insert-group_column_in_gradebook.py 6433 New_groups "Project Groups" "Project group"
will simply insert the number with the leading space stripped.

### Input

```bash
./insert-group_column_in_gradebook.py  course_id column_name groupset_name [prefix_to_remove]
```

### Output
No ouput unless run in verbose mode.

### Example

```bash
 ./insert-group_column_in_gradebook.py 6433 New_groups "Project Groups"

./insert-group_column_in_gradebook.py 6433 New_groups "Project Groups" "Project group"
```

## insert_grades_and_comments.py

### Purpose
 Inserts grades for an assignment into the gradebook for a course.
	 The column headings of the gradebook are assumed to have the form (where dddd is a user_id):
	   Student,ID,assignment_name,assignment_name*comment*
	   xxxx,dddd,A,"I wish I had written this report"
	   xxxx,dddd,E,"Terrible report"

### Input

```bash
./insert_grades_and_comments.py course_id assignment_id file.csv
```

### Output
No ouput unless run in verbose mode.

### Example

```bash
./insert_grades_and_comments_indirect.py 6433 25425 inser_grades_and_comments_test.csv
```

## insert_grades_and_comments_indirect.py

### Purpose
 Inserts grades for an assignment into the gradebook for a course.
	 The column headings of the gradebook are assumed to have the form (where dddd is a pseudo user_id):
	   Student,ID,assignment_name,assignment_name*comment*
	   xxxx,dddd,A,"I wish I had written this report"
	   xxxx,dddd,E,"Terrible report"

### Input

```bash
./insert_grades_and_comments_indirect.py course_id assignment_id file.csv indirect_column_name
```

### Output
No ouput unless run in verbose mode.

### Example

```bash
./insert_grades_and_comments_indirect.py 6433 25425 inser_grades_and_comments_test.csv "New_groups"
```

## students-in-my-courses.py

### Purpose
 To create a spreadsheet of all students in my own courses to be able to look up which courses a student has been in.

### Input

```bash
./students-in-my-courses.py
```

### Output
spreadsheet with a page per course in a file named "users_in_my_courses.xlsx"

### Note
It skips courses involving the whole of KTH (as of 2019-08-15)

## students-in-my-courses-with-cat.py

### Purpose
 To create a spreadsheet of all students in my own courses to be able to look up which courses a student has been in.

### Input

```bash
./students-in-my-courses-with-cat.py
```

### Output
spreadsheet with a page per course in a file named "users_in_my_courses.xlsx"

### Note
It skips courses involving the whole of KTH (as of 2019-08-15). Note also that it computes a sheet called "concat" that contains the concatinated data from the separate spreadsheets.

## students-in-my-courses-with-join.py

### Purpose
 To create a spreadsheet of all students in my own courses to be able to look up which courses a student has been in.

### Input

```bash
./students-in-my-courses-with-join.py
```

### Output
spreadsheet with a page per course in a file named "users_in_my_courses.xlsx"

### Note
It skips courses involving the whole of KTH (as of 2019-08-15). Note also that it computes a sheet called "Summary" that contains a summary of all of the information about the students and which courses they were in. This page has all of the students, the individual courses (by course_id), and a list of all courses (by course_id) the student was in.

Further note that it does not acutal use a join operation, but actually computes two dictionaries: one with information about the student (user_id, login ID, SIS_user_id, and various forms of the user's name) and the other with the list of course that a give user has been a student in. These data structures are then turned into a Python Pandas DataFrame and then output as the summary sheet. [However, logically the operation is a join on the data based on the user information.]

## copy-peer-reviewer-assignments.py

### Purpose
 To copy peer reviewing assignments from one assignment to another

### Input

```bash
./copy-peer-reviewer-assignments.py course_id old_assignment_id new_assignment_id
```

### Output
outputs information about the assigned peer review of the form:
   result of post assigning peer reviwer: {"id":xxx,"user_id":yyy,"asset_id":zzz,"asset_type":"Submission","workflow_state":"assigned","assessor_id":qqqq}

### Example

```bash
./copy-peer-reviewer-assignments.py 12162 86839 86851
```

In the above case the old_assignment was 86839 and the new assignment was 86851.

## list-peer_reviewing_assignments.py

### Purpose
 To have a summary of who is the peer reviewer for whom

### Input

```bash
./list-peer_reviewing_assignments.py course_id assignment_id
```

### Output
outputs a summary of peer reviewing assignments as an xlsx file of the form: peer_reviewing_assignments-189.xlsx

### Example

```bash
./list-peer_reviewing_assignments.py 12162 86851
```

## update-custom-column.py

### Purpose
 To change the name/title of a custom column

### Input

```bash
./update-custom-column.py  course_id column_id column_name
```

### Example

```bash
./update-custom-column.py -v 12162 1205 "Grade for oral opposition"
```

## list-features-for-course.py

### Purpose
 To list the features for a course

### Input

```bash
./list-features-for-course.py  course_id
```

### Output
outputs the features as a vector

### Example

```bash
./list-features-for-course.py  19885
```
```JSON
[{'applies_to': 'Course',
  'description': 'Learning Mastery Gradebook provides a way for teachers to '
                 'quickly view student and course\n'
                 'progress on course learning outcomes. Outcomes are presented '
                 'in a Gradebook-like\n'
                 'format and student progress is displayed both as a numerical '
                 'score and as mastered/near\n'
                 'mastery/remedial.',
  'display_name': 'Learning Mastery Gradebook',
  'feature': 'outcome_gradebook',
  'feature_flag': {'context_id': 19885,
                   'context_type': 'Course',
                   'feature': 'outcome_gradebook',
                   'locked': False,
                   'locking_account_id': None,
                   'state': 'on',
                   'transitions': {'off': {'locked': False}}},
  'root_opt_in': False},
 {'applies_to': 'Course',
  'description': 'Create assessments with New Quizzes and migrate existing '
                 'Canvas Quizzes.',
  'display_name': 'New Quizzes',
  'feature': 'quizzes_next',
  'feature_flag': {'context_id': 1,
                   'context_type': 'Account',
                   'feature': 'quizzes_next',
                   'locked': True,
                   'locking_account_id': None,
                   'state': 'on',
                   'transitions': {'off': {'locked': False}}}},
 {'applies_to': 'Course',
  'description': 'Prevents students from leaving annotations in assignments. '
                 'Does not apply to peer-reviewed assignments.',
  'display_name': 'Restrict Students from Annotating',
  'feature': 'restrict_students_from_annotating',
  'feature_flag': {'feature': 'restrict_students_from_annotating',
                   'locked': False,
                   'state': 'allowed',
                   'transitions': {'off': {'locked': False},
                                   'on': {'locked': False}}}},
 {'applies_to': 'Course',
  'description': 'Allow switching to the enhanced RCE',
  'display_name': 'RCE Enhancements',
  'feature': 'rce_enhancements',
  'feature_flag': {'context_id': 170000000000002,
                   'context_type': 'Account',
                   'feature': 'rce_enhancements',
                   'locked': True,
                   'locking_account_id': None,
                   'state': 'off',
                   'transitions': {'on': {'locked': False}}},
  'root_opt_in': True},
 {'applies_to': 'Course',
  'description': 'Show new analytics for course and user data',
  'display_name': 'New Course and User Analytics',
  'feature': 'analytics_2',
  'feature_flag': {'context_id': 19885,
                   'context_type': 'Course',
                   'feature': 'analytics_2',
                   'locked': False,
                   'locking_account_id': None,
                   'state': 'on',
                   'transitions': {'off': {'locked': False}}}},
 {'applies_to': 'Course',
  'description': 'Enable the tracking of events for a quiz submission, and the '
                 'ability\n'
                 '      to view a log of those events once a submission is '
                 'made.',
  'display_name': 'Quiz Log Auditing',
  'feature': 'quiz_log_auditing',
  'feature_flag': {'feature': 'quiz_log_auditing',
                   'locked': False,
                   'state': 'allowed',
                   'transitions': {'off': {'locked': False},
                                   'on': {'locked': False}}}},
 {'applies_to': 'Course',
  'description': 'Enable anonymous grading of assignments.',
  'display_name': 'Anonymous Grading',
  'feature': 'anonymous_marking',
  'feature_flag': {'context_id': 1,
                   'context_type': 'Account',
                   'feature': 'anonymous_marking',
                   'locked': False,
                   'locking_account_id': None,
                   'state': 'allowed',
                   'transitions': {'off': {'locked': False},
                                   'on': {'locked': False}}},
  'root_opt_in': True},
 {'applies_to': 'Course',
  'description': 'Enable moderated grading.',
  'display_name': 'Moderated Grading',
  'feature': 'moderated_grading',
  'feature_flag': {'context_id': 1,
                   'context_type': 'Account',
                   'feature': 'moderated_grading',
                   'locked': False,
                   'locking_account_id': None,
                   'state': 'allowed',
                   'transitions': {'off': {'locked': False},
                                   'on': {'locked': False}}},
  'root_opt_in': True},
 {'applies_to': 'Course',
  'description': 'Student Learning Mastery Gradebook provides a way for '
                 'students to quickly view progress\n'
                 'on course learning outcomes. Outcomes are presented in a '
                 'Gradebook-like\n'
                 'format and progress is displayed both as a numerical score '
                 'and as mastered/near\n'
                 'mastery/remedial.',
  'display_name': 'Student Learning Mastery Gradebook',
  'feature': 'student_outcome_gradebook',
  'feature_flag': {'context_id': 19885,
                   'context_type': 'Course',
                   'feature': 'student_outcome_gradebook',
                   'locked': False,
                   'locking_account_id': None,
                   'state': 'on',
                   'transitions': {'off': {'locked': False}}},
  'root_opt_in': False},
 {'applies_to': 'Course',
  'description': 'Anonymize all instructor comments and annotations within '
                 'DocViewer',
  'display_name': 'Anonymous Instructor Annotations',
  'feature': 'anonymous_instructor_annotations',
  'feature_flag': {'feature': 'anonymous_instructor_annotations',
                   'locked': False,
                   'state': 'allowed',
                   'transitions': {'off': {'locked': False},
                                   'on': {'locked': False}}},
  'root_opt_in': False},
 {'applies_to': 'Course',
  'description': 'New Gradebook enables an early release of new Gradebook '
                 'enhancements.',
  'display_name': 'New Gradebook',
  'feature': 'new_gradebook',
  'feature_flag': {'context_id': 19885,
                   'context_type': 'Course',
                   'feature': 'new_gradebook',
                   'locked': False,
                   'locking_account_id': None,
                   'state': 'on',
                   'transitions': {'off': {'locked': False}}},
  'root_opt_in': True},
 {'applies_to': 'Course',
  'description': 'Allows the duplication of Calendar Events',
  'display_name': 'Duplicating Calendar Events',
  'feature': 'recurring_calendar_events',
  'feature_flag': {'context_id': 170000000000002,
                   'context_type': 'Account',
                   'feature': 'recurring_calendar_events',
                   'locked': True,
                   'locking_account_id': None,
                   'state': 'on',
                   'transitions': {'off': {'locked': False}}},
  'root_opt_in': True},
 {'applies_to': 'Course',
  'description': 'List students by their sortable names in the Gradebook. '
                 "Sortable name defaults to 'Last Name, First Name' and can be "
                 'changed in settings.',
  'display_name': 'Gradebook - List Students by Sortable Name',
  'feature': 'gradebook_list_students_by_sortable_name',
  'feature_flag': {'feature': 'gradebook_list_students_by_sortable_name',
                   'locked': False,
                   'state': 'allowed',
                   'transitions': {'off': {'locked': False},
                                   'on': {'locked': False}}}}]

```

## set-features-for-course.py

### Purpose
 To set a specific features for a course to a given state

### Input

```bash
./set-features-for-course.py  course_id feature state
```

### Output
outputs the resulting feature

### Example

```bash
./set-features-for-course.py -v 19885 outcome_gradebook off
```
```JSON
{'context_id': 19885,
 'context_type': 'Course',
 'feature': 'outcome_gradebook',
 'locked': False,
 'locking_account_id': None,
 'state': 'off',
 'transitions': {'on': {'locked': False}}}
```
Another example:
```
./set-features-for-course.py -v 19885 outcome_gradebook on
{'context_id': 19885,
 'context_type': 'Course',
 'feature': 'outcome_gradebook',
 'locked': False,
 'locking_account_id': None,
 'state': 'on',
 'transitions': {'off': {'locked': False}}}
 ```

## list_sections_in_course.py
### Purpose
 To output a spreadsheet of the sections in a course and the students in these sections

### Input

```bash
./list_sections_in_course.py course_if
```

### Output
outputs a file with a name of the form: sections-in-{course_id}.xlsx

### Example

```bash
./list_sections_in_course.py 19885
```

### Note
If there are no sections, this page is not included in the spreadsheet. 
If there are no students, this page is not included in the spreadsheet.

## create_JSON_file_of_sections_in_your_courses.py
### Purpose

Create a JSON file with information about courses where user enrolled as a 'TeacherEnrollment', 'Examiner', or 'TaEnrollment'

The JSON file contains a course_info dict 
   courses_to_ignore=course_info['courses_to_ignore'] - courses that the user wants to ignore
   courses_without_specific_sections=course_info['courses_without_specific_sections'] - courses where the user is responsible for all the students
   courses_with_sections=course_info['courses_with_sections']  - courses where the user has a specific section
               the specific section's name may be the user's name or some other unique string (such as "Chip's section")
               Because the name of the relevant section can be arbitrary, this file is necessary to know which section belongs to a given user
 
### Input

```bash
./create_JSON_file_of_sections_in_your_courses.py [-v] [--config config.json] [-s course_info.json] [-U] [-X]
```

With the option "-v" or "--verbose" you get lots of output - showing in detail the operations of the program

Can also be called with an alternative configuration file:
 ./create_JSON_file_of_sections_in_your_courses --config config-test.json

Examples:
```bash
   create file for only exjobb courses:
      ./create_JSON_file_of_sections_in_your_courses.py -s fee.json -X

update an existing file (possibly adding new courses)
      ./create_JSON_file_of_sections_in_your_courses.py -s foo.json -U
```

## list_ungraded_submissions_in_your_courses_JSON.py

### Purpose
 output a list of ungraded assignments for a user to grade

### Input

```bash
./list_ungraded_submissions_in_your_courses_JSON.py [-v] [--config config.json] [-s course_info.json] [-t] [-X]
```

With the option "-v" or "--verbose" you get lots of output - showing in detail the operations of the program

With the option "-t" or "--testing" only does a specific set of courses ids (built into the program)

With the option "-X" of "--exjobs" only processes degree project courses

Can also be called with an alternative configuration file:
 ./create_JSON_file_of_sections_in_your_courses --config config-test.json

Examples:
```bash
./list_ungraded_submissions_in_your_courses_JSON.py -t
```

## modules-items-in-course-json.py

### Purpose
 To extract the modules and page information for a course in JSON

### Input

```bash
./modules-items-in-course-json.py course_id
```

### Output
outputs a JSON file with a name of the form: "modules-in-course-course_id.json"

### Example

```bash
./modules-items-in-course.py 11

./modules-items-in-course.py --config config-test.json 11

```

## compute_stats_for_pages_in_course.py

### Purpose
 To computer some readability statistics for each page in a course

### Input

```bash
./compute_stats_for_pages_in_course.py  course_id

```

### Output
outputs an XLSX formatted file with a name of the form: 'statistics-for-course-'+str(course_id)+'.xlsx
	The statistics are computed using Textatistic (see http://www.erinhengel.com/software/textatistic/)

### Example

```bash
./compute_stats_for_pages_in_course.py 11

./compute_stats_for_pages_in_course.py --config config-test.json 11

```

## cgetall.py

### Purpose
 To get all of the pages from a Canvas course as local files

### Input

```bash
./cgetall.py  canvas_course_page_url|course_id [destination_directory]

```

### Output
outputs each page as a file with the extenssion ".html" the basename is taken from the title of the page

### Example

```bash
cgetall.py https://kth.instructure.com/courses/11/pages/test-3

cgetall.py 11

```

## modules-items-in-course-json.py

### Purpose
 To collect information about all of the modules in a course

### Input

```bash
./modules-items-in-course-json.py course_id
```

### Output
outputs a JSON file with the information about each of the modules in the course and each of the module items in a given module
	The file name isof the form: modules-in-course-xxxx.json where xxxx is the course_id

### Example

```bash
./modules-items-in-course.py 11

./modules-items-in-course.py 17234
```

## find_keyords_phrase_in_files.py

### Purpose
 To extract from a directory of files of the pages from a course words or phrases

### Input

```bash
./find_keyords_phrase_in_files.py direcory
```

### Output
outputs a file with a name of the form keywords_and_phrases_xx.json from the *-html files in the directory

### Note
The files are placed in the directory by using cgetall.py course_id

### Example

```bash
./find_keyords_phrase_in_files.py /tmp/testdik1552
```

## create_page_from_json.py

### Purpose
 To create the contents for a page with information about each language with the words used and URLs to their usage

### Input

```bash
./create_page_from_json.py course_id input.json
```

### Output
outputs a file with a name of the form stats_for_course-xxxx.html where xxxx is the course_id

### Example

```bash
./create_page_from_json.py 17234 keywords_and_phrases_testdik1552.json
```

## Making an index

### Purpose
 To create an index for a Canvas course

### Input

```bash
# Create a directory to put all the pages for the course
mkdir  /tmp/testdik1552

# Get all the pages for the course_id 17234
./cgetall.py 17234 /tmp/testdik1552

# Get information about the modules in this course
./modules-items-in-course-json.py 17234
# the above creates the file: modules-in-course-17234.json

# Fine the keywords and phases in the files in the indicated directory
./find_keyords_phrase_in_files.py -r /tmp/testdik1552
# the above create the file: keywords_and_phrases_testdik1552.json
# The "-r" option causes the program to ignore everything after a horizontal rules <hr> or </ hr>

#
#
# create an empty file words-for-course-COURSE_ID.json containing:
#{"words_to_ignore": [
#   "______last_word_marker______"
# ],
# "words_to_merge": {
#   "______last_merge_marker______": []
#   }
#}
# later add to this file appropriate entries
# for example in words_to_ignore    "3rd method use alternative algorithms",
# for example in words_to_merge    "(George) Guilder’s Law": ["George) Guilder’s Law", "Guilder’s Law"],
#
# Create an index
./create_page_from_json.py 17234 keywords_and_phrases_testdik1552.json
 the above creates the file: stats_for_course-17234.html

# Copy (or rename) the file, so that it has a name suitable for an Canvas page
cp stats_for_course-17234.html test-page-3.html

# Upload the created page and give it a title, in this case "Test page 3"
./ccreate.py https://xxxx.instructure.com/courses/17234/pages/test-page-3 "Test page 3"

# Put the page into a module in the course by going to a module, clicking the plus symbol
# then select the type of module to add as "Page" and then select the item in the scrolling list "Test page 3"
# Note that you need to refresh the "Modules" page to be able to see the new choice of page.

# Note that if your use the ccreate.py script multiple times, the page will have names of the form: "Test page 3-i", such as "Test page 3-6".

# You can eliminate the uploaded page by using the page: https://xxxx.instructure.com/courses/17234/pages
# Click on the three vertical dots on the right and select "Delete"

# You can eliminate the page from the module using the three dots on the right and select "Remove"

```

### Output
Outputs a web page with various indexes.

You can iterate creating the index and uploading to optimize what is indexed and how it is indexed. When you edit the HTML files in /tmp/testdik1552 - remember to update the actual web page in the Canvas course. A convenient way to do this is to edit the course page and select the HTML view and paste in the contents of the edited HTML file.

Once you have completed the editing, start the procedure above with the step: find_keyords_phrase_in_files.py
Otherwise your changes will not be correctly processed.

Some of the changes that I have made to the HTML is to tag words that I want to be kep together (such as a person's name or a logical concept):
```
	<span>Adam Smith</span>
	<span>Autonomous system number</span>	
```
Similarly, you can mark text that you do not want to be indexed:
```
	<span class="dont-index">20% error rate</span>
```

Similarly, you can mark text that you do not want to be indexed because it is a reference to the literature (I find that this is commonly necessary because I have put a references into a figcaption of caption OR because I have added a reference in-line in the page, rather than following the horizontal rule):
```
	<span class="inline-ref">(see Smith, Figure 10, on page 99.)</span>
```
Note that the rules for what text to index and what text to ignore are rather
*ad hoc* and hard coded into the program (find_keyords_phrase_in_files.py and
create_page_from_json.py). However, one can change the source code to tune it
as you want. For example, one of the things that I chose to not index is all
superscripts and subscripts (i.e., ```<sup>xxxx</sup> and <sub>xxxx</sub>```). I
also exclude alt text for images that begins with 'LaTeX:' - in order to
eliminate the LaTeX for equations.

The logical separation between find_keyords_phrase_in_files.py and
create_page_from_json.py is that the first computes a list of "strings" for each
tag of each HTML pages, producing a dictionary with the HTML file name as key and entries of the form:

```
"sctp-header.html":
	{"list_item_text": ["As with UDP & TCP, SCTP provides de/multiplexing via the 16-bit source and destination ports.", "Associations between endpoints are defined by a unique ", "SCTP applies a CRC-32 end-to-end checksum to its general header and all the chunks", "Control information is contained in Control Chunks (these always ", "Multiple data chunks can be present - each containing data for different streams"],
          "paragraph_text": ["16-bit source port", "16-bit source port", "12 bytes", "32-bit verification tag", "32-bit Checksum", "Control chunk(s) {If any}", "Data chunk(s) {If any}", "SCTP packet (see ", "IP protocol x84 = SCTP", "A separate verification tag is used in each direction", "(Previously it used Adler-32 checksum [RFC 3309])"],
	 "strong_text": ["General Header", "verification tag", "Chunks", "precede "]
	 },

```

Note that text inside ```<pre>xxxx</pre>``` is extracted (in the first phase), but then ignored in when constructing the main index. Additionally, integers and floating point numbers are aslo not indexed (unless they are inside a span, such as ```<span>3.14159265</span>```.

While the later program constructs the index page. I found that I had to tune the strings in list starting_characters_to_remove and in the list ending_characters_to_remove to get the results that I wanted. One of the artifacts of cutting and pasting from PowerPoint slides to create the Canvas pages was that some of the characters that appear are Unicode characters for different dashes and some symbols that I have used (such as u'→', u'⇒', u'⇨', u'∴', u'≡', u'✔', u'❌') and generally I do not want to have these indexed (but rather treat them like stop words).

Overall, the process of generating an index was useful - as I found mis-spellings, inconsistent use of various terms and capitalization, random characters that seemed to have been typos or poor alternative img descriptions, ...). However, it remains a work in progress.

## my-dashboard.py

### Purpose
 XLSX spreadsheet of the course for the user running the program.

### Input
 none
```bash
my-dashboard.py
```

### Output
outputs a file (all-my-cards.xlsx) containing a spreadsheet of the user's dahsboard cards

## list-files.py

### Purpose
 To get a spreadsheet of all the files and folders in a Canvas course.

### Input

```bash
./list-files.py course_id
```

### Output
outputs a file named files-COURSE_ID.xlsx

### Note
That there can be many instances of a file with a given filename. There can even be multiple instances of the same filename in one folder!

### Example

```bash
./list-files.py 20979
```

## get_user_profile.py user_id

### Purpose
 To output the JSON of the user's profile.

### Input

```bash
./get_user_profile.py user_id
```

### Output
outputs the JSON

### Example

```bash
# note the output is edited
./get_user_profile.py 29

user's profile is:
```
```JSON
{   'avatar_url': 'https://xxxx',
    'bio': 'since 1994  - Professor of xxxx\r\n'
           'For further information see https://www.kth.se/profile/maguire/',
    'calendar': {   'ics': 'https://canvas.kth.se/feeds/calendars/xxxx.ics'},
    'effective_locale': 'en',
    'id': 29,
    'integration_id': None,
    'locale': 'en',
    'login_id': 'xxxxx@kth.se',
    'lti_user_id': 'xxxxxxxx',
    'name': 'xxxx',
    'primary_email': 'xxxxx@kth.se',
    'short_name': 'xxxx',
    'sortable_name': 'yyyyy, xxxx',
    'time_zone': 'Europe/Stockholm',
    'title': None}
```

## get_user_channels_and_notifications.py

### Purpose
 To list a user's communication channels and the configuration of notifications for each channel.

### Input

```bash
./get_user_channels_and_notifications.py user_id
```

### Output
outputs
```JSON
channel id 29 is email
user's communication channels is:

{   'notification_preferences': [   {   'category': 'announcement',
                                        'frequency': 'immediately',
                                        'notification': 'new_announcement'},
                                    {   'category': 'due_date',
                                        'frequency': 'weekly',
                                        'notification': 'assignment_due_date_changed'},
...
                                    {   'category': 'due_date',
                                        'frequency': 'weekly',
                                        'notification': 'upcoming_assignment_alert'}]}
channel id 93562 is push
user's communication channels is:

{   'notification_preferences': [   {   'category': 'announcement',
                                        'frequency': 'never',
                                        'notification': 'new_announcement'},
...
                                    {   'category': 'due_date',
                                        'frequency': 'never',
                                        'notification': 'upcoming_assignment_alert'}]}

```

### Example

```bash
./get_user_channels_and_notifications.py 29

./get_user_channels_and_notifications.py  self
```

## copy_course_content.py
### Purpose
 Copy course content from source to destination course_id

### Input

```bash
./copy_course_content.py source_course_id destination_course_id
```

### Output
status updates

### Example

```bash
./copy_course_content.py 23939 751
```

```bash
response is {'id': 14655, 'user_id': 29, 'workflow_state': 'running', 'started_at': '2020-09-08T15:38:11Z', 'finished_at': None, 'migration_type': 'course_copy_importer', 'created_at': '2020-09-08T15:38:11Z', 'migration_issues_url': 'https://canvas.kth.se/api/v1/courses/751/content_migrations/14655/migration_issues', 'migration_issues_count': 0, 'settings': {'source_course_id': 23939, 'source_course_name': 'II2210 HT20-2 Ethics and Sustainable Development for Engineers', 'source_course_html_url': 'https://canvas.kth.se/courses/23939'}, 'progress_url': 'https://canvas.kth.se/api/v1/progress/186456', 'migration_type_title': 'Course Copy'}
Migration URL is: https://canvas.kth.se/api/v1/progress/186456
Migration Status is: running  | progress: 0.0
Migration Status is: running  | progress: 20.0
Migration Status is: running  | progress: 46.0
Migration Status is: running  | progress: 46.0
Migration Status is: running  | progress: 46.0
Migration Status is: running  | progress: 46.0
Migration Status is: running  | progress: 46.0
Migration Status is: running  | progress: 46.0
Migration Status is: running  | progress: 46.0
Migration Status is: running  | progress: 46.0
Migration Status is: running  | progress: 46.0
Migration Status is: running  | progress: 35.5
Migration Status is: running  | progress: 50.0
Migration Status is: running  | progress: 80.5
Migration Status is: running  | progress: 80.5
Migration Status is: running  | progress: 97.5
Migration Status is: running  | progress: 97.5
Migration Status is: running  | progress: 97.5
Migration Status is: running  | progress: 97.5
Migration Status is: running  | progress: 97.5
Migration Status is: running  | progress: 97.5
Migration Status is: running  | progress: 97.5
Migration Status is: running  | progress: 97.5
Migration Status is: running  | progress: 97.5
Migration Status is: running  | progress: 99.5
Migration Status is: running  | progress: 100.0
------------------------------
Migration completed.
```

## list_user_page_views_for_a_course.py

### Purpose
 To list page views for students in a course

### Input

```bash
 ./list_user_page_views_for_a_course.py course_id start_date end_date
```

### Output
outputs a spreadsheet with a page per user_id and a Summary page

Examples:
```bash
./list_user_page_views_for_a_course.py 11 2020-12-01 2020-12-14

and

./list_user_page_views_for_a_course.py 20981  2020-12-10 2020-12-12

```

## list_my_page_views.py start_date end_date

### Purpose
 To list page views for yourself

### Input

```bash
./list_my_page_views.py start_date end_date
```

### Output
outputs a spreadsheet with a page of page_visit data

Examples:
```bash
 ./list_my_page_views.py 2020-12-01  2020-12-14

and

./list_my_page_views.py 2020-12-01

```

## ./list_user_page_views.py

### Purpose
 To list page views for a specified user

### Input

```bash
./list_user_page_views.py user_id start_date end_date
```

### Output
outputs a spreadsheet with a page of page_visit data

Examples:
```bash
./list_user_page_views.py self 2020-12-04

./list_user_page_views.py 29 2020-12-01 2020-12-14

./list_user_page_views.py 29
```

## teachers-in-course.py
### Purpose
 To output a spreadsheet of teachers in a course

### Input
```bash
./teachers-in-course.py course_id
```

### Output
outputs spreadsheet (teachers-course_id.xlsx) and lists the names of the teachers in sortable order

### Example
```bash
./
./teachers-in-course.py  --config config-test.json 22156
```

## create_sections_for_teachers-in-course.py

### Purpose
 To create a section in the course for each teacher in the course

### Input

```bash
./create_sections_for_teachers-in-course.py course_id
```

### Output
outputs lists the names of the teachers in sortable order

### Example
```bash
./create_sections_for_teachers-in-course.py 11

./create_sections_for_teachers-in-course.py -v  --config config-test.json 22156

```

## insert_teachers_grading_standard.py

### Purpose
 To create a section in the course for each teacher in the course

### Input
```bash
./insert_teachers_grading_standard.py course_id
```

### Output
outputs grading scale that was created (if the verbose flag is set)

### Note
If you have assigned grades previously using another grading scale - adding a new one can render all previoous grades incorrect - as the process of assigning scores to teacher is not stable if there is a change in the number or list of teachers.

### Example
```bash
./insert_teachers_grading_standard.py --force --config config-test.json 22156

./insert_teachers_grading_standard.py --force --config config-test.json 22156 IA150x_Teachers

```

## ./add_students_to_examiners_section_in_course.py course_id [admin_assignment_name]
### Purpose
 Adds students to sections based upon their Examiner (or other exercise based on admin_assignment_name

### Input

```bash
./add_students_to_examiners_section_in_course.py course_id [admin_assignment_name]
```

### Output
using assignment 'Examiner' as the administrative data to do the assignment into sections
 	Added XXXX to section for Maguire Jr, Gerald Quentin

Can also be called with an alternative configuration file:
./add_students_to_examiners_section_in_course.py --config config-test.json 22156

### Example
```bash
 ./add_students_to_examiners_section_in_course.py 22156

./add_students_to_examiners_section_in_course.py 22156 "Supervisor"
```

## insert_course_code_grading_standard.py
### Purpose
 Generate a "grading standard" scale with the course codes as the "grades".

### Note
If the grading scale is already present, it does nothing unless the "-f" (force) flag is set.
In the latter case it adds the grading scale.

Can also be called with an alternative configuration file:

### Input
```bash
./insert_course_code_grading_standard.py course_id
```

### Output
depends on flags and whether there is an existing grading scale

The -v or --verbose flag generates a lot of output.

### Example
```bash
./insert_course_code_grading_standard.py 25434
{   'DA231X',
    'DA232X',
    'DA233X',
    'DA234X',
    'DA235X',
    'DA236X',
    'DA239X',
    'DA240X',
    'DA246X',
    'DA248X',
    'DA256X',
    'DA258X',
    'EA236X',
    'EA238X',
    'EA246X',
    'EA248X',
    'EA256X',
    'EA258X',
    'EA260X',
    'EA270X',
    'EA275X',
    'IA249X'}
course_codes_sorted=['DA231X', 'DA232X', 'DA233X', 'DA234X', 'DA235X', 'DA236X', 'DA239X', 'DA240X', 'DA246X', 'DA248X', 'DA256X', 'DA258X', 'EA236X', 'EA238X', 'EA246X', 'EA248X', 'EA256X', 'EA258X', 'EA260X', 'EA270X', 'EA275X', 'IA249X']
number_of_course_codes=22
inserted grading standard
status=True
```
Second example with alternative configuration file:
```bash
./insert_course_code_grading_standard.py --config config-test.json 25434
```

## add_course_codes_for_students_in_course.py
### Purpose
 using assignment 'Course code' as the administrative data to do assign course codes as grades

Added the course code (using the Course Code grading scale) based in the SIS section that each student is in

### Input
```bash
./add_course_codes_for_students_in_course.py course_id [admin_assignment_name]
```
admin_assignment_name = 'Course code' by default

### Output
outputs student's sortable name and their course code

If there is an existing course code and it is different from the course code it should be now, it is changed.

with the option "-v" or "--verbose" you get lots of output - showing in detail the operations of the program

Can also be called with an alternative configuration file

With the "-t" or "--testing" it only process a smaller number of students.

### Example
```bash
./add_course_codes_for_students_in_course.py 25434

./add_course_codes_for_students_in_course.py  --config config-test.json 25434
```

## insert-programs-from-spreadsheet.py
### Purpose
 Inserts a custom column with the student's program information using the data from several columns of a spreadsheet.
It combines the data from the columns: program_code, program_code_1, and program_code_2

It will create the column as necessary

The spreadsheet is expected to be generate from canvas_ladok3_spreadsheet.py

### Input
```bash
./insert-programs-from-spreadsheet.py  course_id
```

### Output
outputs information about the student and their program

### Example
```bash
./insert-programs-from-spreadsheet.py 25434

./insert-programs-from-spreadsheet.py  --config config-test.json 25434
```

## insert-examiners-from-spreadsheet.py

### Purpose
 To take a spreadsheet with project titles and examiners and add these examiners to the administraitve assignment Examiner in the gradebook

### Input
```bash
insert-examiners-from-spreadsheet.py  course_id spreadsheetFile [column_name]
```

### Output
informaiton about the titles, student name, and examiner as it inserts them

### Example
```bash
./insert-examiners-from-spreadsheet.py -v 25434   "Master's thesis proposals P3 2021-20210220.xlsx"
```

## create-assignment-with-textual-submission.py
### Purpose
	Create an assignment with a textual submission

### Input
```bash
./create-assignment-with-textual-submission.py course_id [name_of_assignment]
```

with the option "-v" or "--verbose" you get lots of output - showing in detail the operations of the program
 with the option '-C'or '--containers' use HTTP rather than HTTPS for access to Canvas

Can also be called with an alternative configuration file:
  --config config-test.json

### Example
```bash
./create-assignment-with-textual-submission.py 7 "Second assignment"
```
## get_textbox_submissions_as_docx.py
### Purpose

create a DOCX file for each textual submission

### Input
```bash
./get_textbox_submissions_as_docx.py course_id assignment_id
```

with the option "-v" or "--verbose" you get lots of output - showing in detail the operations of the program
with the option '-C'or '--containers' use HTTP rather than HTTPS for access to Canvas

Can also be called with an alternative configuration file:
 --config config-test.json

Example - to generate docx file locally
```bash
 ./get_textbox_submissions_as_docx.py -C 7 44^
```
Example - to generate docx file locally and upload it as a submission
```bash
 ./get_textbox_submissions_as_docx.py --submit  -C 7 44
```
to get the DOCX library do:
    pip3 install python-docx

## Zoom-chat-to-canvas-page-py

### Purpose
 To take a Zoom chat file and make a Canvas course wikipage.

### Input
```bash
Zoom-chat-to-canvas-page-py -c course_id --transcript zoom_chat_file
```

### Output
outputs a number of files: the anonomized transcript and a JSON file of the assigned pseudonyms
	However, the major effect is the creation of a wiki page and the insertion of this page into a module in a course.

### Note
There are a lot of options - including the usual -v --verbose option for lots of output as the program runs
     With the option "-N" it does not use pseudonyms, but rather the real user's names
     With the option "-M" "--module_name" - you can specifiy the name of the module to put the page in
     With the option "-T" "--page_title" - you can specify the title of the page
     With the option "-R" "--remove_existing_page" - you can delete an existing page of the same title (if it exists)
     	      	     	  			     otherwise "-new" is appended to the page title

### Example
```bash
./Zoom-chat-to-canvas-page-py    -c 11 --transcript /z3/maguire/meeting_saved_chat-20210304.txt

./Zoom-chat-to-canvas-page-py -c 11 --config config-test.json --transcript /z3/maguire/meeting_saved_chat-2020-12-10.txt

./Zoom-chat-to-canvas-page-py -c 11 --transcript /z3/maguire/meeting_saved_chat-20210304.txt --nymfile /z3/maguire/meeting_saved_chat-20210304-teacher.nyms

```

# II2210-grades_to_report.py
### Purpose
 To show  hot ro programmatically access assignment, the gradebook, and the custome columns to be able to do calculations on grades, dates of submission, due dates, etc.

### Input
```bash
./II2210-grades_to_report.py -c course_id
```

### Output
outputs gradebook and other information

### Note
This is a work in progress and is design to (a) do something useful for and (b) to be a set of examples that others can use.

The program can walk a gradebook and do computations on the grades. Currently, it is for a course with 4 assigned that each have a certain maximum number of points.

You have to manually add a short name for each assignment_id number.

The "Notes" column has to be set to visible in the gradebook before the program will add the date inofmration to the notes column.

# II2210-grades_to_reportv2.py
### Purpose
 To show  hot ro programmatically access assignment, the gradebook, and the custome columns to be able to do calculations on grades, dates of submission, due dates, etc.

### Input
```bash
./II2210-grades_to_reportv2.py -c course_id
```

### Output
outputs gradebook and other information

### Note
This is a work in progress and is design to (a) do something useful for and (b) to be a set of examples that others can use.

The program can walk a gradebook and do computations on the grades. Currently, it is for a course with 4 assigned that each have a certain maximum number of points.

You have to manually add a short name for each assignment_id number.

The "Notes" column is set to visible in the gradebook by the program. This avoids create a second "Notes" column.

## set_status_in_course.py
### Purpose
 To set a user's custom data field to reflext the user's perception of their stat of progress (for example, in a degree project course).

### Input
```bash
./set_status_in_course.py course_id status_percent
```

### Note
The status_percent is simply treated as a string

with the option '-C'or '--containers' use HTTP rather than HTTPS for access to Canvas
with the option -t' or '--testing' testing mode
     in this mode it reads another argument that indicates the user whose status is to be set
     ./set_status_in_course.py -v -t -C 7 10.5 4
or
     ./set_status_in_course.py -v -t -C 7 11.5% 10

with the option "-v" or "--verbose" you get lots of output - showing in detail the operations of the program

Can also be called with an alternative configuration file:
./custom-data-for-users-in-course.py --config config-test.json

Examples:
 ./set_status_in_course.py 11 22
or
./set_status_in_course.py -C 5 11 23.7

Example with output:
```bash
 ./set_status_in_course.py --config config-test.json 11 23.5
Existing custom data for user for course 11 is {'data': '21.5'}
Result of setting custom data for user for course 11 is {'data': '23.5'}
```

## get_status-for-users-in-course.py
### Purpose
 Help track progress in degree project courses

Creates an administrative assignment in the course (if it does not yet exist).
This assignment does not accept any submission, but is just used to display a "grade" indicating a code for the student's status.

In order to enable students to suggest their status early in the degree project, 
get the student's status information from their custom data and
update data in Status assignment in gradebook - but ONLY up to a threshold.

The program also looks at assignments that have been completed and
administrative actions that have been taken to up0ate the Status assignment's "grade".

Background and underlying idea:
I have done a program: set_status_in_course.py
It is run using:
        set_status_in_course.py course_id status_percent
where the course_id is the Canvas course_id and status_percent is simply a string, which can look like 23.5
It stores the information in the user's customer date in the name space se.kth.canvas-app.status_course_id

My current idea is that the student can use this program to set their status, while they can view their status in the gradebook via a "Status" assignment (that has no submissions) but shows scores where the scores are the "status_percent" values. A teacher in the course will run a program get_status-for-users-in-course.py that will:
1. Get the status information for all the students enrolled in the course. Call this students_status.
2. If students_status is lower than a threshold and higher that the student's Status score in the gradebook then update the Status score in the gradebook. The idea is that some of the scores (after some point) should not be set by the the student.
3. If the Status score in the course is higher than than the students_status - then update the student's status value. [This operation could be optional.]
4. For a set of the assignments, if the assignment is marked Completed - update the Status score in the gradebook.
5.Optionally the program could even check the DIVA status and LADOK grade status and update the score based in these.

### Input
```bash
./get_status-for-users-in-course.py course_id
```
### Output
various diagnotic output
with the option '-C'or '--containers' use HTTP rather than HTTPS for access to Canvas
with the option -t' or '--testing' testing mode

with the option "-v" or "--verbose" you get lots of output - showing in detail the operations of the program

Can also be called with an alternative configuration file:
./custom-data-for-users-in-course.py --config config-test.json

Examples:
```bash
./get_status-for-users-in-course.py -C  7 
```

## some_canvas_stats.py
### Purpose
 To collect some statistics about a Canvas instance in terms of the number of users per account and to computer the total number of these who are unique users.

### Input
```bash
./some_canvas_stats.py
```

### Output
outputs a spreadsheet (canvas_stats.xlsx) with statistics and some text, such as:

No subaccounts
len unique_users=21972

In this case len unique_users says how many unique users there were.

### Note
The numbers are limited to the accounts the person running the program can access.

### Example
```bash
./some_canvas_stats.py   --config config-test.json
```

## get_PDF_submission.py

### Purpose
 Checks that the submission has been graded and has the grade 'complete'
	 and then gets the PDF file submitted for a specified assignment

### Input
```bash
 ./get_PDF_submission.py -c course_id -a assignment_id -u user_id [-e]
```

### Output
 a file with a name of the form: user's name-filename.pdf

with the option "-v" or "--verbose" you get lots of output - showing in detail the operations of the program
with the option '-C'or '--containers' use HTTP rather than HTTPS for access to Canvas

Can also be called with an alternative configuration file:
  --config config-test.json

Example 1:
```bash
./get_PDF_submission.py -c 25434 -a 150953 -u 746
```
Example 2: get file and then if the -e option is specified call the program to extract the puseudo JSON from it
```bash
 ./get_PDF_submission.py -c 25434 -a 150953 -u 746 -e
```

## assign-random-peer-reviewer-by-section.py

### Purpose
 This program assigns each user in a course (course_id) with a randomly assigned peer reviewer from within their section for a given assignment (new_assignment).

### Note
This program ignores all sections that do not have a single quote or the word "section" in them.

### Input
```bash
./assign-random-peer-reviewer-by-section.py course_id new_assignment_id [old_assignment_id ]
```

### Output
outputs the assigne peer reviews and makes these peer reviewing assignments in the assignment new_assignment_id

### Note
Note also that there are some permutations that cannot meet the above two conditions and the additional condition of not having a person assigned
to review two different persons. In this case the program tries with a new starting permutation. It will try up to 99 times before giving
up doing peer reviewing assignments for this section. I know this is an arbitrary number, but hope that it works in practice.

The program does not currently support processing of the old_assignment_id, but the idea is that in the future it might avoid assigning a peer review if this same peer review arrangement was used in the old assignment (to give greater variety).

Examples:
```bash
./assign-random-peer-reviewer-by-section.py --testing 28715 159758
./assign-random-peer-reviewer-by-section.py 28850 160120

```

## get_peer_reviews_and_comments.py

### Purpose
 To get the peer reviewing information both comments and PDF file attachments

### Input
```bash
./get_peer_reviews_and_comments.py -c course_id -a assignment_id
```

### Output
Outputs a directory (assignment_folder) with a name of the form: Assignment_ddddd, where ddddd is the assignment_id.
	In this directory will be a directory (teacher_folder) using the teacher's name, for each of the teachers who has commented on a submission.
	In this directoty there will be a directory (peer_review_folder) with names based on the peer review id.
	Within this directory there can be one or more files.
	One file has a name of the form: basic_info_{1}-{2}.json where {1} is the student's name who made the submission and {2} is the assessor's name.
	Any text comments that were made will be in files of the form: {1}-{2}.txt where {1} is the comment_author_name and {2} is the comment_date.
	Any PDF file attachments will have a name of the form: {1}-{2}-{3} where {1} is comment_author_name, {2} is the attachment_date, and {3} is the file_name of the attachment.

The program outputs a JSON file with a name of the form: peer_reviewrs_{0}-{1}.json where {0} is the course_id and {1} is the assignment_id - this contains the information returned for all the peer reviews for the assignment in this course.

The program also outputs another JSON file of the form: {2}_peer_reviwers_{0}-{1}.json where {0} is the course_id, {1} is the assignment_id, and {0} is the teacher's name.

As the program is running it outputs the number of teachers in the course and their user_id and name. It also says how many (top level) peer reviews there were and how many there are for each teacher.

### Note
The program does not do anything with section or group information. These might be interesting for future enhancements.

### Example
```bash
./get_peer_reviews_and_comments.py -c 28715 -a 159760
```

## edit_modules_items_in_a_module_in_a_course.py
## Purpose
 To go throught a specific module or all modules in a course and perform some operations on the content of each page, for example replacing '<p>' with '<p lang="en_us">' to do language tagging.

### Input
```bash
./edit_modules_items_in_a_module_in_a_course.py course_id [module_name]
```

### Output
proggress information such as:
```bash
processing module: II2202 modules
process_item 1
processing item: Course syllabus (kurs-PM)
process_item 2
processing item: Course Introduction
process_item 3
processing item: TimeEdit
```

### Note
You have to edit the program to add the operations that you want to perform on the page contents.

### Example
```bash
./edit_modules_items_in_a_module_in_a_course.py 11 'Presenting data (as a Wiki)'

```

You can process all of the modules in the course with:
```bash
./edit_modules_items_in_a_module_in_a_course.py 11

```

##  ./delete_a_module_and_its_items.py course_id

### Purpose
 To delete a module. It additionally, deletes any wikipages unless they are used in another module. This should make it possible to re-import a new version of this module into a course.

### Input
```bash
 ./delete_a_module_and_its_items.py course_id 'module_name'
```

### Output
outputs some progress information.

### Note
When an existing page is used in a module, it gets a new module item instance in the module ; however, the url points to the original wikipage.

### Example
```bash
./delete_a_module_and_its_items.py --config config-test.json 11 'Test module for deletion' 
process_item 1
processing item: Test page 1 for deletion
process_item 2
processing item: Introduction to Chip's sandbox			<<< This is used in another module
process_item 3
processing item: Test page 2 for deletion
process_item 4
processing item: A dummy header for deletion
process_item 5
processing item: Test page 3 for deletion
```

## compute_stats_for_course.py

### Purpose
 Textatistic is used to compute some statistics about module items that are Pages.
       HTML elements that contain non-English sentences are filtered or cause an exception for Textatistic.
             By default, only published pages are processed (use option -u or --unpublished to include them).

The pages (either on 'All pages' or 'All published pages') are sorted by the module's position and the postion of the page within this module. This is to make it easy to look at the statistics for pages within a module and across modules.
### Input
```bash
./compute_stats_for_course.py course_id
```

### Output
XLSX spreadsheet with modules in course

### Note 
The filtering is a work in progress - the filters should be expanded.

### Example
```bash
./compute_stats_for_course.py 11
```

## augments-course-stats-with-plots.py
### Purpose
 take the output of compute_stats_for_course.py and agument it with a plot of the SMOG scores of the pages.

### Input
```bash
./augments-course-stats-with-plots.py -c course_id
```

### Output
outputs an updated spreadsheet 'course-modules-item-stats-'+course_id+'-augmented.xlsx' - not current include only the sheet with the readability scores and a plot of the SMOG scores for all of the pages in the course - organized by module.

### Note
It tries to enlarge the size of the bar charart vertically based upon multiples of 50 module item pages. It also scales the SMOG chart based on the highest score rounded up to a multiple of 5.

### Example
```bash
./augments-course-stats-with-plots.py -c 28715
```

## insert-examiners-and-supervisors-from-spreadsheet.py

### Purpose

Program inserts the name of the examiner as a "grade" based on matching the
"e-mail" and the student's in the course gradebook. It also adds the students
to the appropriate section for the examiner and supervisors.  The names of
multiple supervisors are assumed to be separated by either a comma or " and ".
Additionally, it takes the vaulke of the string in the "Proposal" column of
the spreadsheet and adds it as the "Tentative_title" in the gradebook. A list
of the supervisors in the same format they are in the spreadsheet is stored in
the gradebook in a custom column 'Supervisors'.

Note that one has to add the e-mail address column to the spreadsheet "Closed"
and then manually add the student's e-mail address for each student.

### Input
```bash
./insert-examiners-and-supervisors-from-spreadsheet.py course_id spreadsheetFile
```

### Output

Outputs additions to an examiner's section
```bash
Adding Last, First to section for examiner Maguire Jr, Gerald Quentin
```

Outputs additions to an examiner's section
```bash
Adding Last, First to section for supervisor Maguire Jr, Gerald Quentin
```

Outputs a list of missing students, i.e., students' who are not in the Canvas course
```bash
missing_students={'aaaa@kth.se', 'bbbb@kth.se'}
```

Outputs a list of missing examiners or superviosrs (in normal name order)

Outputs a list of missing sections (in sortable name order)

Outputs a list of teacher missing from the course  (in normal name order)

### Note 
Supervisors will be marked as missing if they are not built into the table in the program that takes a supervior name (in normal order) as shown in the Supervisor column of the spreadsheet and maps it to the name in the Canvas course in sortable name order.

### Example
```bash
./insert-examiners-and-supervisors-from-spreadsheet.py  33514   "Masters_thesis_proposals-CS-P3-2022.xlsx"

./insert-examiners-and-supervisors-from-spreadsheet.py --config config-test.json  33514   "Masters_thesis_proposals-CS-P3-2022.xlsx"
```

## kth_canvas_saml.py

### Purpose
Toolkit for signing in to KTH's Canvas LMS (through SAML) directly in Python.
This allows you to make scripts that access login-protected pages.
This extends the range of possibilities beyond what the Canvas LMS API offers,
allowing the user to automate even more tasks involving Canvas.

### Example usage
```py
>>> from kth_canvas_saml import kth_canvas_login
>>> s = kth_canvas_login('<user>@ug.kth.se', '<password>')
>>> r = s.get('https://canvas.kth.se/courses/<course_id>/quizzes/<quiz_id>/history?quiz_submission_id=<subm_id>&version=1')
>>> print(r.text)
```

### Note
Running this script alone will prompt you for credentials and test the sign in with verbose printouts:
```text
$ ./kth_canvas_saml.py
Testing KTH Canvas login.
KTH username: test
Password for user test@ug.kth.se:
Got response from https://canvas.kth.se/login : code 302
Got response from https://canvas.kth.se/login/saml : code 302
... [rest of output hidden]
```

Remember to handle your password with care!
If you do not wish to have your password stored in plain text,
you may use `kth_canvas_login_prompt`, or make something yourself.

The two dependencies can be installed with: `pip install requests beautifulsoup4`

### Author
Johan Berg, 2022-04-09

## canvas_api.py
### Purpose
This code is directly derived from Maguire's functions in Canvas-tools.
The functions have been refactored and simplified into this API handler.
 
## quizzes-and-answers-in-course.py

### Purpose
Ouput XLSX spreadsheet with all the quizzes in a course and the quiz submissions.

### Input
```bash
./quizzes-and-answers-in-course.py course_id
```

### Output
Outputs a file with a name of the form: quizzes-<course_id>.xlsx

### Note 
This is a work in progress. As of 2022-02-26 it does not yet support getting the answers that students have given (there is a 'result_url' filed in the submissions that gives you access to an HTML page of the student's submission), as I've not solved the SAML requirements to fetch the URLs of the completed quizzes. However, one can manually click on the links and get them from the spreadsheet in Excel.

It uses kth_canvas_saml.py to access the latest submission from 'result_url' and access all prior sumissions. If the 'workflow_state' is 'untaken', then it accesses 'html_url' and builds a URL to access all of the attempts except for the last one which had not been submitted (hence was in the untaken state).

A paper about this toolkit is at SAML_Johan_Berg_v3-20220428.pdf in this repository.

## augment_quizzes-and-answers-in-course.py
### Purpose
To take the spreadsheet output by quizzes-and-answers-in-course.py and augment it with additional information as well as print incorrect answers to questions with blanks. If the names of the blanks (i.e., the blank_id) are in the range 'a0' to 'a9' the output decodes them, otherwise it uses the hash of the blank_id.

### Input
```bash
./augment_quizzes-and-answers-in-course.py course_id
```

### Output
outputs augmented XLSX spreadsheet with quizzes in course, with name of the form quizzes-<course_id>-augmented.xlsx

The assumption is that each attempt a the quiz has been downloaded locally. The progream rocesses all of the quiz attempts and collects some data for each student's possibly multiple attempts. The spreadsheet is augments with information about which questions the student was ask in a given attempt (in this case typically 5 questions were chosen randomly from a set of questions) - as a dict questions_asked; the type of each of these questoins in a dict questions_types; and the correctness of the answers (one of 'correct', 'incorrect', 'partial_credit') in a dict answer_correctness.

After processing all of the quiz submission, the program writes out the sheets (Quizzes and the quiz information with names of the form: <quiz_id>) from the input file and the augmented sheets (with names of the form: "s_<quiz_id>").

The program outputs information about the incorrect answers give for each question and then the incorrect answers for questions that had multiple blanks.

### Note 
This is a work in progress and the output is rather verbose at present. Additionally, only questions with an input of type "text" are processed.

It also requires the user to manually download all of the result_html files (and each of the earlier versions of the quiz attempt) into local directories. Hopefully, this can be automated in a future version of quizzes-and-answers-in-course.py

Two of the behaviors that were observed in students who took the quiz many times were:
(a) the student getting very high scores, but continuing to test themselves with more questions and
(b) the student not answering any questions but just collecting questions and their answers, then doing a submission with all the correct answers.

For some of the questions the second behavior is very hard. For example, one question had 5 random questions selected out of 70 questions - so there are very large number of possible combination of quiz questions!

This program was refactored by Johan Berg to use canvas_api.py.

### Example

```bash
./augment_quizzes-and-answers-in-course.py 28715
quiz_info={28325: 'Avoiding Plagiarism (with quiz)', 28330: 'Sustainable Development/Hållbar Utveckling (with quiz)', 28323: 'Writing an abstract with keywords (with quiz)', 28326: 'Writing and Oral Presentations (with quiz)', 28337: 'Writing the Methods, Results, and Discussion sections (with quiz)', 28331: 'Written and oral opposition (with quiz)', 28332: 'Ethical Research: Human Subjects and Computer Issues (with quiz)', 28327: 'Ethical Research (with quiz)', 28336: 'Power tools and how to use them (with quiz)', 28328: 'Presenting your Data (with quiz)', 28334: 'Privacy, Discoverability, Openness, and Publicity (with quiz)', 28333: 'Professionalism and Ethics for ICT students (with quiz)', 28324: 'Project planning (with quiz)', 28335: 'Quality Assurance (with quiz)', 28329: 'Quantitative Methods and Tools (with quiz)'}

Processing file: ./Quiz_Submissions/<course_id>/<quiz_id>/<submission_id>/xxxx_v11.html
version_string=11
a_number=0
a_number=1
a_number=2
a_number=0
a_number=1
input_id=None, input_type=text,input_name=question_274205,input_value=green energy,input_describedby=user_answer_NaN_arrow, question_type=short_answer
second case: input_value=green energy, incorrect_answers[274205]={'green energy'}
a_number=0
a_number=1
a_number=2
a_number=3
a_number=4
a_number=5
a_number=0
a_number=1
a_number=2
a_number=0
a_number=1
a_number=2

...
questions_asked={'11': [274189, 274205, 274206, 274255, 274252], '15': [274191, 274200, 274214, 274221, 274236], '1': [274193, 274201, 274208, 274234, 274253], '4': [274193, 274201, 274208, 274234, 274253], '2': [274193, 274201, 274208, 274234, 274253], '6': [274191, 274202, 274217, 274254, 274224], '9': [274190, 274197, 274217, 274251, 274229], '7': [274192, 274200, 274217, 274248, 274251], '12': [274189, 274204, 274213, 274240, 274238], '13': [274194, 274200, 274216, 274239, 274237], '16': [274194, 274199, 274216, 274221, 274223], '8': [274189, 274205, 274212, 274245, 274221], '14': [274193, 274198, 274208, 274256, 274257], '3': [274193, 274201, 274208, 274234, 274253], '10': [274189, 274197, 274208, 274227, 274241], '5': [274193, 274201, 274208, 274234, 274253]}
questions_types={'11': ['multiple_choice_question', 'short_answer', 'multiple_answers_question', 'true_false_question', 'true_false_question'], '15': ['multiple_answers_question', 'multiple_answers_question', 'multiple_answers_question', 'short_answer', 'true_false_question'], '1': ['multiple_choice_question', 'multiple_choice_question', 'short_answer', 'fill_in_multiple_blanks_question', 'true_false_question'], '4': ['multiple_choice_question', 'multiple_choice_question', 'short_answer', 'fill_in_multiple_blanks_question', 'true_false_question'], '2': ['multiple_choice_question', 'multiple_choice_question', 'short_answer', 'fill_in_multiple_blanks_question', 'true_false_question'], '6': ['multiple_answers_question', 'multiple_choice_question', 'true_false_question', 'true_false_question', 'true_false_question'], '9': ['multiple_answers_question', 'multiple_choice_question', 'true_false_question', 'true_false_question', 'true_false_question'], '7': ['short_answer', 'multiple_answers_question', 'true_false_question', 'short_answer', 'true_false_question'], '12': ['multiple_choice_question', 'multiple_answers_question', 'short_answer', 'short_answer', 'short_answer'], '13': ['multiple_choice_question', 'multiple_answers_question', 'fill_in_multiple_blanks_question', 'short_answer', 'fill_in_multiple_blanks_question'], '16': ['multiple_choice_question', 'multiple_choice_question', 'fill_in_multiple_blanks_question', 'short_answer', 'true_false_question'], '8': ['multiple_choice_question', 'short_answer', 'multiple_answers_question', 'true_false_question', 'short_answer'], '14': ['multiple_choice_question', 'short_answer', 'short_answer', 'fill_in_multiple_blanks_question', 'true_false_question'], '3': ['multiple_choice_question', 'multiple_choice_question', 'short_answer', 'fill_in_multiple_blanks_question', 'true_false_question'], '10': ['multiple_choice_question', 'multiple_choice_question', 'short_answer', 'matching_question', 'short_answer'], '5': ['multiple_choice_question', 'multiple_choice_question', 'short_answer', 'fill_in_multiple_blanks_question', 'true_false_question']}
answer_correctness={'11': ['correct', 'incorrect', 'partial_credit', 'correct', 'correct'], '15': ['correct', 'correct', 'correct', 'incorrect', 'correct'], '1': ['incorrect', 'incorrect', 'correct', 'incorrect', 'incorrect'], '4': ['incorrect', 'incorrect', 'correct', 'incorrect', 'incorrect'], '2': ['incorrect', 'incorrect', 'correct', 'incorrect', 'incorrect'], '6': ['correct', 'incorrect', 'correct', 'incorrect', 'correct'], '9': ['incorrect', 'correct', 'correct', 'correct', 'correct'], '7': ['correct', 'correct', 'correct', 'incorrect', 'correct'], '12': ['correct', 'correct', 'incorrect', 'incorrect', 'incorrect'], '13': ['correct', 'correct', 'correct', 'incorrect', 'incorrect'], '16': ['correct', 'correct', 'correct', 'correct', 'correct'], '8': ['correct', 'incorrect', 'correct', 'correct', 'incorrect'], '14': ['correct', 'correct', 'correct', 'partial_credit', 'correct'], '3': ['incorrect', 'incorrect', 'correct', 'incorrect', 'incorrect'], '10': ['correct', 'correct', 'correct', 'correct', 'correct'], '5': ['incorrect', 'incorrect', 'correct', 'incorrect', 'incorrect']}

...
copying quiz=28325
saving quiz submissions=s_28325
copying quiz=28330
question_id=274204 already has a quiz_id 28330 associated with it
question_id=274221 already has a quiz_id 28330 associated with it
saving quiz submissions=s_28330
copying quiz=28323
...
copying quiz=28324
saving quiz submissions=s_28324
copying quiz=28335
question_id=274354 already has a quiz_id 28335 associated with it
saving quiz submissions=s_28335
copying quiz=28329
question_id=274122 already has a quiz_id 28329 associated with it
question_id=274154 already has a quiz_id 28329 associated with it
saving quiz submissions=s_28329
Incorrect answers for 274205 on quiz 28330: {'energy-saving', 'green energy'}
Incorrect answers for 274221 on quiz 28330: {'environment'}
Incorrect answers for 274248 on quiz 28330: {'correct', 'Brundtland', 'true'}
Incorrect answers for 274213 on quiz 28330: {'sleeping modes', 'sleeping  modes'}
Incorrect answers for 274240 on quiz 28330: {'ecological', 'anthropocentric', 'scientific'}
Incorrect answers for 274238 on quiz 28330: {'indirectly', 'similar'}
Incorrect answers for 274239 on quiz 28330: {'effective', 'indirectly', 'eco-centric'}
Incorrect answers for 274198 on quiz 28330: {'hardware deisgn', 'Design hardware'}
Incorrect answers for 274208 on quiz 28330: {'IEEE'}
Incorrect answers for 274192 on quiz 28330: {'Sustainable', 'economy'}
Incorrect answers for 274195 on quiz 28330: {'development', 'good', 'true'}
Incorrect answers for 274196 on quiz 28330: {'sustainability', 'advancement'}
Incorrect answers for 274207 on quiz 28330: {'coal'}
Incorrect answers for 274220 on quiz 28330: {'necessary', 'good'}
Incorrect answers for 274211 on quiz 28330: {'hardware ', 'yes'}
Incorrect answers for 274247 on quiz 28330: {'anthropocentric'}
Incorrect answers for 274241 on quiz 28330: {'practical'}
Incorrect answers for 274222 on quiz 28330: {'Basic Idea'}
Incorrect answers for 274234 on quiz 28330: {'a0': {'society'}, 'a1': {'environment'}, 'a2': {'economy'}}
Incorrect answers for 274237 on quiz 28330: {'a0': {'environmental', 'self'}, 'a1': {'social', 'eco'}}
Incorrect answers for 274203 on quiz 28330: {'a0': {'performance'}, 'a1': {'power consumption'}}
Invalid question id 274226 (not in the list of questions - but has incorrect answers={'a0': {'2010'}, 'a1': {'2020'}}
```

## record_active_listener.py
### Purpose
To help report student's active participation in a Canvas course room for a degree project

The program reports a grade of 'complete' and includes information about the student who presented.

### Input
```bash
 ./record_active_listener.py course_id inputfile student_presenting_email
```

### Output
...
last name, first name
assignment.name=Active listening 1

assignment.name=Active listening 2
...

If a student has a graded submission, the program will output:
...
{subm.entered_grade} on {subm.graded_at} by {grader.short_name} body={subm.body}
...

If a student has an ungraded submission,  the program will output:
...
submitted {submitted_at} body={subm.body}
...
where the body is what the student submitted. Note that in this case you have to manyally check of the body matches that of the current student, if so - you may need to manually set the grade for this assignment. [An enhanced version of the program should let you say yes or no to handle this]

### Note 
If a student is not a Canvas user, the program will output:
...
user with {email_address} not found
...

If a student is not in the canvase course room but is a Canvas user, the program will output:
...
user last_name, first_name is not enrolled in the course xxxxxx
...

### Example

```bash
./xxx.py u1d13i2c
```

## export-gradebook-with-score.py

### Purpose
Outputs an xlsx file containing all of the custom columns, the file name is of the form: gradebook-course_id.xlsx

### Input
```bash
export-gradebook-with-score.py course_id
```

### Output
Outputs an xlsx file of the form containing all of the custom columns: gradebook-course_id.xlsx
The first column of the output will be user_id.
The second sheet "Gradebook_history" will contain all of the gradebook entries made for the course

## list_groups_in_course.py

### Purpose
Output spreadsheet of groups in a course

### Input
```bash
./list_groups_in_course.py course_id
```

### Output
outputs a spreadsheet

### Example

```bash
./list_groups_in_course.py 34871
```

## add_groups_to_gradebook_course.py

### Purpose
Put the group names into a custom column (based on the group set name) in the gradebook. This makes it easier for the examiner to sort the students by group (simply selected the column and type "s").

### Input
```bash
./add_groups_to_gradebook_course.py course_id
```

### Output
updates the gradebook

### Note 
When the program is run with the "--short" option, the program uses a file with a name of the form: short_group_names-in-ddddd.json where ddddd is the course_id that contains a struct of the form:
```python
 {"Chip Maguire's section": {"base_for_group_names": "Chip", "number_of_groups_to_make": 1, "shorted_group_name": "CM"},
  "Dropped the course": {"base_for_group_names": null, "number_of_groups_to_make": 0, "shorted_group_name": null},
 ...
 }
```

This information is used to provide the ability to name section names to base names for groups and shorted group names.
The shortened group names are entered into a custom column in the gradebook. The name of this column is based on the
group category, i.e., the name of the group set.

### Example

```bash
./list_groups_in_course.py 34871
```

## get_degree_project_course_ids.py

### Purpose
To create an XLSX spreadsheet with degree course_id for courses in the accounts I can manage

### Input
```bash
./get_degree_project_course_ids.py
```

### Output
outputs a file names "accounts_I_can_manage.xlsx"

## get_submissions_with_comments_for_section.py

### Purpose
To get the set of comments made on submission for a specific section in a course.

### Input
```bash
./get_submissions_with_comments_for_section.py  course_id section_id assignment_id
```

### Output
The ouput in verbose mode is a pprint output of the results returned by the API call.

### Example

```bash
./get_submissions_with_comments_for_section.py 50124 200752 34870
```

## get_submissions_with_comments.py

### Purpose
To get the set of comments made on submissions for an assignment in a course..

### Input
```bash
.get_submissions_with_comments.py course_:d assignment_id
```

### Output
The ouput in verbose mode is a pprint output of the results returned by the API call.

### Example

```bash
./get_submissions_with_comments.py 34870 200752 
```

## get_PDF_submissions_with_comments_by_course_codes.py

### Purpose
The program assumes that the courses codes are part of the name of a section. It uses this information
to retrieve the submissions for a given assignment_id for all students in the relevant section or sections.

### Input
```bash
./get_PDF_submissions_with_comments_by_course_codes.py  course_id assignment_id course_code+
```

### Output
Outputs a file with a name of the form: 'submission_comments-{course_id}-{section_id}-{assignment_id}.xlsx'
 
### Note 
With the option "-v" or "--verbose" you get lots of output - showing in detail the operations of the program

With option "-m" or "--missing" lists the names of students who have made submissions but are not students in the relevant sections (generally this is due to test students)

With option "-" or "--testing" does not fetch the summited files

With option "-d" or "--dir" you can specify the directory to create otherwise it use a constructed anem
of the form: './Submission-{course_id}-{section_id}-{assignment_id}'

It fetches the files at a rate of about one per second in the test environment (actually 53 in 60 seconds).

### Example

Can be called with an alternative configuration file:
```bash
./get_PDF_submissions_with_comments_by_course_codes.py --config config-test.json  section_id course_code+
```

```bash
./get_PDF_submissions_with_comments_by_course_codes.py --config config-test.json  33514 179168 DA231X "DA232X VT22"
```

#### Example outputs
```bash
./get_PDF_submissions_with_comments_by_course_codes.py --config config-test.json  33514 179168 DA231X "DA232X VT22"
Configuration file : config-test.json
Course codes to be processed: ['DA231X', 'DA232X VT22']
processing section DA231X HT22 (TCSCM-p1)
processing section DA231X HT22 (TCSCM-p2)
processing section DA231X VT22 (60129)
processing section DA231X VT22 (60132)
processing section DA232X VT22 (60555)
Creating directory: ./Submission-33514-38550-179168
Writing file ./Submission-33514-38550-179168/YYYYMMDDTHHMMSS-lastanem__firstname-xxxx.pdf
...
```

## get_students_submissions_with_comments.py

### Purpose
To output the informaiton abotu a student's submission - specifically the file name(s), date, and size(s)

### Input
```bash
./get_students_submissions_with_comments.py course_:d assignment_id user_id
```

### Output
outputs:
```bash
filename: xxxx.pdf, type=pdf, date=xxxx, size=xxxxx
filename: xxxx.mp4, type=video, date=xxxx, size=xxxxx
```

Another example:
```bash
./get_students_submissions_with_comments.py 11 50 122918
filename: Simple_test_document.docx, type=doc, date=2023-04-07T12:06:55Z, size=12944
filename: Simple_test_document.pdf, type=pdf, date=2023-04-07T12:07:15Z, size=194952
comment: author=Gerald Quentin Maguire Jr), date=2023-04-07T12:03:10Z, comment=A simple comment and the simple test document.
comment: author=Gerald Quentin Maguire Jr), date=2023-04-07T12:08:54Z, comment=A new comment on the combined submission. ♼
```

with the "-p" option it outputs the full response from the API call

Note:
If the user_id is not provided it defaults to "self", i.e., the user makiing the request.

## place_students_in_sections_in_course.py

### Purpose
Take a spreadsheet, such as produced by list_sections_in_course.py that has had the section_name changed to be a specific teacher's section and add the student to that section.

### Input
```bash
./place_students_in_sections_in_course.py course_id spreadshseet_name name_of_column_with_section_assignments
```

### Output
The program outputs lines noting which section a student is being placed in or if the student is already in the indicated section.

### Note 
If the section name indicated does not exist, the section will be created. Section names that end with a ")" and have an earleir "(" are ignored when processing the entires in the section_names.

### Example

```bash
./list_sections_in_course.py 41492
# edit the spreadsheet
./place_students_in_sections_in_course.py 41492 sections-in-41492.xlsx
```

## compute_unique_words_for_pages_in_course.py

### Purpose
To compute the number and list of unique words in a course.

### Input
```bash
./compute_unique_words_for_pages_in_course.py  course_id
```

### Output
Outputs a file with the unique words each on a line

### Note 
Some of the tests are incomplete, but remove a lot of the "words" that are not really useful (such as numbers, ISBNs, DOIs, ...).

This program was inspired when I read the paper:

Hans Malmström, Diane Pecorari, and Marcus Warnby, ‘Teachers’ receptive and productive vocabulary sizes in English-medium instruction’, Journal of Multilingual and Multicultural Development, pp. 1–19, Sep. 2023 [Online]. DOI: 10.1080/01434632.2023.2260781

### Example

```bash
./compute_unique_words_for_pages_in_course.py 11544
13854 unique words
10938 unique words output to unique_words-for-course-11544.txt
```

## ./prune_unique_words.py course_id

### Purpose
The program takes the dictionary stored as JSON as output of compute_unique_words_for_pages_in_course.py, specifically the
unique_words-for-course-frequency-<course_id>.txt file and prunes out words based on different
filtering.

### Input
```bash
./prune_unique_words.py  --dir ./Course_31168/ 31168
```

### Output
It outputs a reduce file with the filtered dictionary.
 For example it outpus the following types of files.
```
unique_words-for-course-skipped-in-update-31168.txt
unique_words-for-course-frequency-updated-31168.txt
unique_words-for-course-likely-acronyms-31168.txt
unique_words-for-course-likely-stats-31168.xlsx
```
It also outputs a spreadsheet of values, such as:
```
unique_words-for-course-likely-stats-31168.xlsx
```

The program itself also outputs some information, such as shown below:
```
Loading some directories
   2999 entries in American3000
   2003 entries in American5000
  15281 entries in EFLLex_NLP4J
  15686 entries in SVALex_Korp
  17871 entries in FLELex_CRF Tagger
   7610 words in common_English words
    385 words in common Swedish words
      5 words in common French words
     10 words in common Latin words

Pruning the input
   5338 unique words - initially 
   5308 words left,      30 place names removed
   5275 words left,      33 misc_words_to_ignore removed
   5223 words left,      52 company_and_product_names removed
   5208 words left,      15 abbreviations_ending_in_period removed
   5204 words left,       4 common_programming_languages removed
   5166 words left,      38  domainnames removed
   5071 words left,      95  improbable words removed
	806 likely acronyms
   4196 unique words after filtering acronyms and single letters
   4196 unique words after filtering if there is a title case and lower case version of the word  turn to lower case
   4101 words left,      95 top_100_English_words removed
   3606 words left,     495 thousand_most_common_words_in_English removed
   2836 words left,     770 Oxford American 3000 words removed
   2550 words left,     286 Oxford American 5000 words removed
   2166 words left,     384 EFLLex_NLP4J words removed
   2092 words left,      74 SVALex_Korp words removed
   2028 words left,      64 FLELex_CRF Tagger words removed
    827 words left,    1201 common English words removed
    759 words left,      68 common Swedish words removed
    757 words left,       2 common French words removed
    755 words left,       2 common Latin words removed
    761 words left,       6 words added after processing words that appear in title case
    526 starting with a capital letter (69.12%)
    231 starting with a lower case letter (30.35%)
      4 starting with another type of letter (0.53%)

Some statistics about the CEFR levels of the words as determined by the five main data sources
The totals are the total numbers of the input words that appear in this source.
The percentage shown following the totals indicates what portion of the words from this source were used in the course pages.
The American 3000 and 5000 sources have an explicit column of plurals; the rest are considered "singular".
EFLLex_NLP4J, SVALex_Korp, and FLELex_CRF Tagger do {bold_text("not")} have any C2 words. The level used for a word based on these sources is based on the most frequent level for this word. In contrast for the other sources, the level used is the lowest level for that word or the highest level when the word is hyphenated.
The level xx indicates that the word does not have a known CEFR level.

American 3000: total: 1040 (34.68%), singular: 1040, plural: 281
singular: {'A1': 400, 'A2': 286, 'B1': 182, 'B2': 156}
  plural: {'A1': 380, 'A2': 287, 'B1': 182, 'B2': 155}
American 5000: total: 248 (12.38%), singular: 248, plural: 52
singular:                                 {'B2': 98, 'C1': 149}
  plural:                                 {'B2': 19, 'C1': 31}
EFLLex_NLP4J (English): total: 1728 (12.46%)
	{'A1': 138, 'A2': 163, 'B1': 374, 'B2': 466, 'C1': 587}
SVALex_Korp (Swedish): total: 309 (2.02%)
	{'A1': 34, 'A2': 54, 'B1': 59, 'B2': 91, 'C1': 71}
FLELex_CRF Tagger (French): total: 505 (3.05%)
	{'A1': 60, 'A2': 58, 'B1': 111, 'B2': 65, 'C1': 211}
common English words: total: 1601 (21.04%)
	{'A1': 213, 'A2': 170, 'B1': 332, 'B2': 418, 'C1': 243, 'C2': 224}
top 100 English  words: total: 97  (97.00%)
	{'A1': 87, 'A2': 10}
top 100 words in English that were not used: {'him', 'come', 'me'}
thousand most common words in_English: total: 618  (68.97%)
	{'A1': 270, 'A2': 171, 'B1': 121, 'B2': 54, 'C1': 2}
common Swedish words: total: 122  (31.69%)
common French words: total: 5  (100.00%)
common Latin words: total: 6  (60.00%)
```

### Note 
This is still a work in progress.

## reduce_possible_acronyms.py

### Purpose
To reduce the list of likely acronyms based upon the acronyms that are already in the course (based on the output of the prune_unique_words.py program) or perhaps some other filtering. Currently, only the difference between the likely set and the existing set are considered.

### Input
```bash
reduce_possible_acronyms.py  course_id [url to acronym page]
```

### Output
Outputs a file, such as unique_words-for-course-missing-acronyms-31168.txt with the still missing acronyms

### Note 
The idea is to help the user reduce the set of likely acronyms so that they decide which of them to include them in a course web page.

### Example

```bash
./reduce_possible_acronyms.py  --dir Course_31168 31168
```

One can create an HTML file with a table of acronyms and even include a column for Swedish descriptions
```
./reduce_possible_acronyms.py --create -s --dir Course_11544 11544
```

One can create an HTML file with a descriptions list of acronyms:
```
./reduce_possible_acronyms.py --create -dl --dir Course_11544 11544
```

This produces output of the form:
```
processing existing acronyms from ['acronyms-and-abbreviations']
581 likely acronyms
399 existing acronyms in the Canvas course room
240 missing acronyms
missing acronyms = ['AWK', 'All-IP', 'BIND', 'BLOG', 'BYE', 'CANARIE', 'CANCEL', 'CC', 'CDMA2000', 'CE', 'CEO', 'CERTA', 'CHUNKS', 'CIAC', 'CMT', 'CNAME', 'CNCERT/CC', 'CODE', 'COMPLETE', 'COOKIE', 'COOKIE_ACK', 'COOKIE_ECHO', 'CORBA-IDL', 'CORBA/SNMP', 'COS/CCS', 'CRITIC/ECP', 'CRUDE', 'CS-2000-06', 'CSD-94-858', 'CSIRT', 'CSLIP', 'CSRC', 'CU-SeeME', 'DATA', 'DATA_FILE', 'DCE', 'DECnet', 'DF', 'DNSViz', 'DNSsec', 'DOI', 'DR-Web', 'DS', 'DSAP', 'DSCP', 'DySPAN', 'ECHO', 'ECT', 'END', 'ENV', 'ERROR', 'FH', 'FIN', 'FLAGS', 'FMIPv6', 'FOKUS', 'FSL-04-03', 'GET', 'GETALL', 'GETATTR', 'GETLIST', 'GLOP', 'GS2', 'GSS', 'GSS-TSIG', 'HAVC', 'HAWAII', 'HBH', 'HDMI', 'HEAD', 'HEARTBEAT', 'HEARTBEAT_ACK', 'HIPPI', 'HMAC-ALGO', 'HP', 'HTTP-NG', 'HTTP/1.0', 'HTTP/1.1', 'ICEBERG', 'ICMPv6', 'ID', 'IDUP-GSS-API', 'IEEE/ACM', 'IFS', 'II', 'IK1203', 'IK1552', 'IMEI', 'IN', 'INC', 'INIT', 'INTERNET', 'INVITE', 'IO', 'ION', 'IOS', 'IP-in-IP', 'IPSec', 'IPX/SPX', 'IPv6/IPsec', 'IPv6/IPv4', 'ISC', 'IT', 'IVERSEN', 'IX', 'J-SAC', 'KUO', 'KX', 'LACNIC', 'LBO', 'LI', 'LOC', 'LTTP', 'MA', 'MAE-East', 'MAE-West', 'MASCOTS', 'MBONED', 'MEDIA', 'MF', 'MG', 'MGEN', 'MINFO', 'MKDIR', 'MOSPF', 'MR', 'MSR-α', 'ND', 'NETCONF', 'NETNOD', 'NICNAME', 'NJ', 'NLA', 'NTTP', 'NetBIOS', 'NetID', 'OBS', 'OID', 'ONC', 'ONC/RPC', 'OPTIONS', 'OpenDNS', 'OpenID', 'OpenVPN', 'PATH', 'PETS', 'PGP/MIME', 'PING', 'PMAPPROC_DUMP', 'PMAPPROC_SET', 'PMAPPROC_UNSET', 'PODC', 'POST', 'PPID', 'PPP/SLIP/serial', 'PSH', 'PSML', 'PTYPE', 'PURSUIT', 'QUIC', 'RADb', 'RANDOM', 'READIR', 'REGISTER', 'REMOVE', 'RESV', 'RF', 'RFC1213', 'RFC1533', 'RFC2409', 'RFC3554', 'RFC826', 'RFID', 'RIID', 'RIPv1', 'RIPv2', 'RMDIR', 'RMON1', 'RMON2', 'RRSID', 'RS', 'RSSId', 'RST', 'SANS', 'SASL', 'SAVI', 'SEND', 'SHUTDOWN', 'SID', 'SIGCOMM', 'SIGTRAN', 'SKI', 'SLO', 'SMIv2', 'SNMPv2', 'SNMPv2p', 'SNMPv2u', 'SNMPv3', 'SOCK', 'SOCKS', 'SOCKS-based', 'SOL-IX', 'SO_BROADCAST', 'SSH', 'STANDARD', 'STHIX', 'SYN', 'SYN_ACK', 'SYN_RCVD', 'SoCC', 'T1', 'TCCN', 'TCP/IP', 'TCP_NODELAY', 'TELNET', 'TI', 'TIME_WAIT', 'TYPE', 'UK', 'ULA', 'UPDATE', 'URG', 'US', 'USA', 'USENIX', 'UTC', 'V4', 'V6', 'VOIP', 'VT2022Time', 'VoIP', 'VoLTE', 'WEB', 'X.400/RFC822', 'XIN', 'XORd', 'Y-MP', 'YANG', 'iOS', 'non-SACK']
```

## getall-files.py

### Purpose
To get all of the files of a Canvas for a given course_id

### Input
```bash
getall-files.py  course_id destination_directory
```
the -a or --all option sayes to include even the hiddern folders and files
the -i or --info option creates an xlsx file with a seheet of information about the folders and another about the files
the -s or --skip option has the program skipp getting the files
the -t or --testing option can be used to have functions just used when testing

### Output
Creates the necessary subdirectories under the destination_directory and outputs each of the files.

Also when the --info option is use it outputs a file with a name of the form: folders_for_{course_id}.xlsx in he destination_directory.
This spreadsheet has sheets, Folders, Files, and Merged.

### Note 
Does not do anything to handle files with different file IDs that have the same name, the last one to be copied will overwrite an earlier copy.

### Example

```bash
getall-files.py 11  Course_11
```

## combine_XLSX_files.py

### Purpose
The program walks the path to collect the XLSX files into a single speadsheet.

The individual XLSX files are assumed to have been output by prune_unique_words.py

### Input
```bash
./combine_XLSX_files.py path course_id
```

### Output
The resulting combined file is output as: combined_sheets-{course_id}.xlsx

### Example

```bash
./combine_XLSX_files.py --dir "./Course_41668/course files/"
```
Outputs the combined_sheets.xlsx file in the directory ./Course_41668/

## compute_and_prune.bash

### Purpose
To recursively compute the unique words and prune them

### Input
when in the directory Course_41668/course file
```bash
 ../../compute_and_prune.bash .
```

### Output
You can see the name of the file being processed and the output of the two programs.

## extract_anchros_elements_from_rawHTML_files.py

### Purpose
The content is taken from the wikipages in the specified course have been saved in a file and
the pages are separated with lines, such as:
⌘⏩routing-table-search-classless⏪
where the page URL is between the markers. This makes it easy to look at the source material, for example when tryign to locate misspellings.

The idea is to read in this material and extract information about all of the anchor elements.

### Input
```bash
./extract_anchros_elements_from_rawHTML_files.py  --dir Course_course_id course_id
```

### Output
Outputs a JSON file with information about each of the anchors using the information from a file such as unique_words-for-course-raw_HTML-{course-id}.txt

### Note 
Some of the information is shorted, for example by reducing the class information and removing some of the attributes (that to be seemed uninteresting).

### Example

```bash
./extract_anchros_elements_from_rawHTML_files.py  --dir Course_41668 41668
```

## Applying the CEFR tools to a course

The following shows all of the tools being applied for a course, in this case the course_id = 41668

### Input
```bash
mkdir Course_41668
./compute_unique_words_for_pages_in_course.py --dir Course_41668 41668
./prune_unique_words.py --bar --slash --dir Course_41668 41668
./extract_anchor_elements_from_rawHTML_files.py  --dir Course_41668 41668
./getall-files.py -i --all 41668  Course_41668
cd Course_41668/course files
../../compute_and_prune.bash .
./combine_XLSX_files.py --dir "./Course_41668/course files/" 41668

```

### Output
After completing all of the above the target directory (in this case Course_41668) wil contain the following files:
* anchors-41668.json
* combined_sheets-41668.xlsx
* folders_for_41668.xlsx
* unique_words-for-course-41668.txt
* unique_words-for-course-frequency-41668.txt
* unique_words-for-course-frequency-updated-41668.txt
* unique_words-for-course-likely-acronyms-41668.txt
* unique_words-for-course-likely-stats-41668.xlsx
* unique_words-for-course-raw_HTML-41668.txt
* unique_words-for-course-raw_text-41668.txt
* unique_words-for-course-skipped-41668.txt
* unique_words-for-course-skipped-in-update-41668.txt

and a directory:
* course files

Under the "course files" you wil find individual files (such as F08.pdf) and the corresponding procesed files, such as:
* unique_words-for-course-likely-stats-41668_Uppladdade media_F08.pdf.xlsx
* unique_words-for-course-frequency-updated-41668_Uppladdade media_F08.pdf.txt
* unique_words-for-course-likely-acronyms-41668_Uppladdade media_F08.pdf.txt
* unique_words-for-course-skipped-in-update-41668_Uppladdade media_F08.pdf.txt
* unique_words-for-course-41668_Uppladdade media_F08.pdf.txt
* unique_words-for-course-frequency-41668_Uppladdade media_F08.pdf.txt
* unique_words-for-course-raw_text-41668_Uppladdade media_F08.pdf.txt
* unique_words-for-course-skipped-41668_Uppladdade media_F08.pdf.txt

### Note 
While most of the above is rather quick, it takes almost 40 minutes to run compute_and_prune.bash on the whole tree of course files.

Files of the form: unique_words-for-course-raw_text-* and unique_words-for-course-raw_HTML-* contain the extracted text and the extracted HTML. Note that there is only extracted HTML for the wikipages and the syllabus.

Files of the form: unique_words-for-course-skipped-in-update* contain "words" that were skipped when doing the update (in the prune operation).

Files of the form: unique_words-for-course-frequency-* and unique_words-for-course-frequency-updated-* contain the word frequency data before and after the prune opeation.

Files of the form: unique_words-for-course-likely-acronyms-* contain words that are likely to be acronyms (as determined during the prune operation).

Files of the form: unique_words-for-course-likely-stats-* contain a summary of the statistics while the file combined_sheets*.xlsx contains all of the statistics of all the individual sources.

Files of the form: folders_for_* contain information about the folders and files (as determined when running getall-files).

Files of the form: anchors-* contain information about the anchors in the toplevel *rawHTML* (as detrmined when running extract_anchros_elements_from_rawHTML_files).

The general process is to look at 
* unique_words-for-course-frequency-*  to tune the compute_unique_words_for_pages_in_course.py program
* unique_words-for-course-frequency-updated-* to tune the prune_unique_words.py

In the above tuning includes adding new prefix and suffix strings or new filtering functions in compute_unique_words_for_pages_in_course.py program, while tuning of prune_unique_words.py primarily involves adding new words and possibly CEFR level information. Ideally, there should be few words left in unique_words-for-course-frequency-updated-* .. meaning that the pruning has identified the words.

**Warning** adding new words seems an unending task due to the different words used in different courses.

## language_tag_a_course.py

### Purpose
To go throught a course and add the HTML language attribute to relevant elements (currently, elementxs at the top-level of the content that do not have a lang attribute).

Canvas has a problem in that (1)  the GUI and (2) the course contents are both set to the same language based on the course language setting.

Technically, this is because the HTML language attribute is set from the value of locale in the header in `apps/views/layouts/_head.html.erb` and locale is set via a line in `lib/locale_selection.rb` - with a course language setting overriding any choice of language by the user.

This means that the user looses the ability to have the GUI for this course in their choice of language. While this might make sense in conjunction with a language course (such as a course in French, Swedish, Japanese, etc.) - it does not make sense for other courses.

### Input
The `lang` should specify a language code - see [RFC 5646](https://datatracker.ietf.org/doc/html/rfc5646).
With the option "-v" or "--verbose" you get lots of output - showing in detail the operations of the program.
With the option "-t" or "--testing", the program does not update the strings with the modified HTML.

```bash
./language_tag_a_course.py course_id lang
```

### Output
Outputs some information as it works (such as the page title and the transformed contents).

### Note 
Currently, the program supports pages, syllabus, assignments, (classic) qquizzes, discussions, and announcements.

As the program only adds the lang attribute to top-level elements that do not have a lang attribute, you can run the program again and it will *not* process the element again. This conveniently lets you run the script multiple times.

The program does not do *any* checking of the lang tag that the user provides on the command line. **Additionally, there is *no* "undo" operation, so it should be used with care.**

Only the 10 most recent entries within a discussion are processed - as this is a limitation of the API call being used to fetch them.

Announcements are considered between 1 year ago today and 70 days from today. Also, announcements and their replies are like discussions,
hence the limitation to the 10 most recent entries applies within an announcement's replies.

The element <code>&lt;h1 class="page-title"&gt;</code> will not have the language tag set to the instructor's choice of language, since this page-title is generated by Canvas and is not part of the wikipage or other content. For example, when looking at the page: https://canvas.kth.se/courses/751/pages/ethics-slash-code-of-honor-and-regulations, there is the following <code>&lt;div&gt;</code> that preceeds the page-title and the contents of the page that start with the <code>&lt;h2&gt;</code> element.
```html
<div class="show-content user_content clearfix enhanced" data-resource-type="wiki_page.body" data-resource-id="104962" data-lti-page-content="true">
 
    <h1 class="page-title">Ethics / Code of Honor and Regulations</h1>
 
    <h2>Ethics</h2>
<p>As examples of a code of professional ethics, see <a href="http://www.ieee.org/about/corporate/governance/p7-8.html" ...
```

### Example - adding "en" tag - for English

```bash
./language_tag_a_course.py 751 en
```

### Second Example - adding "sv" tag - for Swedish
```bash
./language_tag_a_course.py 53524 sv
```
### Third example - adding "en-US" tag - for English as spoken in the US

```bash
./language_tag_a_course.py 751 'en-US'
```

## list_accounts_and_courses.py

### Purpose
To generate a spreasheet of account and course information (potentially those with a given school_code)

### Input
```bash
./list_accounts_and_courses.py [school_code]
```

### Output
A shreadshet with sheets "Accounts" and the name of the subaccount [if necessary truncated to 30 letters). If you specify a school code, such as EECS, you get a file: accounts-me-EECS.xlsx else accounts-me.xlsx

### Note 
The accounts are limited to those for which you have administrative access.

### Example

```bash
 ./list_accounts_and_courses.py EECS

```

## extract_dc_meta_data_from_PDF.py

### Purpose
The program opens the file and extracts the Dublin Core metadata

### Input
```bash
./extract_dc_meta_data_from_PDF.py PDF_file_name
```

### Output
outputs the XMP XML

### Note 
This program is little more than a stub - because the decoding of the XML and producting a dict has not yet been done.

### Example

```bash
./extract_dc_meta_data_from_PDF.py /tmp/KTH_new_cover_experiment_with_configuration_with_Arial.pdf
```

## check_color.py

### Purpose
The program creats three cells in a spreadsheet and then the
heck_red_substring() function was used to check for a red substrin gin the cell.

### Input
```bash
./check_color.py
```

### Output
Cell A1 (abc) has red substring: False
Cell B1 (def) has red substring: True
Cell C1 (qwe) has red substring: True

### Note 
This was a simple test program to explore rich text in a spreadsheet cell.

### Example

```bash
./check_color.py
```

## copy_colored_text.py

### Purpose
Create entries in columns for "eng-draft" and "sv-fraft"
based upon those entries in the 'eng' and 'sv' columns that were
set in red (specifically rgb:  #FFFF0000') as these represent
my proposed words.

The draft columns are to facilitate a native Swedish speaker
evaluating the proposed 'eng' or 'sv' entries set in red.

### Summary

The program opens the file and copies ext from "eng" to "eng-draft"
if 'eng' text is red and copies text from "sv" to "sv-draft" if text is red

### Input
```bash
 ./copy_colored_text.py filename
```
This program takes a spreadsheet of data based upon those found
in Computer Sweden's "IT-ord: Ord och uttryck i it-branschen"
See https://it-ord.idg.se/

The wordlist is a collection of words that are related to IT.
Here "words" are strings that can include spaces and commas.

As part of the STUNDA activities, I have attempted to find
English and Swedish word pairs. When either language was missing,
I have tried with the help of Google's Gemini to identify a suitable word or words.

I have also tried to classify the words into categories or combinations of
categories (for examaple, a given word might be the name of a product and
a company name).

### Output
Outputs an updated spread sheet in temp.xlsx

### Note 
The program contains extensive information about the format of the spreadsheet.

### Example

```bash
./Computer_Sweden/cs_words_ss-edited-20250321-color-draft.xlsx
```

## whoami_for_latex.py

### Purpose
To get supervisor information for use in the LaTeX thesis temlate

### Input
```bash
./whoami_for_latex.py email course_id [supervisor_index]
```

The course_id has to be a course where the supervisor is enrolled (as student, teacher, ... )

If supervisor_index not specified, it defaults to "A"
If supervisor_index == S, then this is the studet author.

### Output
outputs supervisor information for LaTeX thesis temlate

### Note 
Requires that you have a KTH_API key
Adjuste the program for the current value returned from KTH Profile API, as it does not have a 'path' part any longer.

If you do not have an KTH_API key, then it guesses:
```bash
./whoami_for_latex.py --config config-no-API-key.json maguire@kth.se 11 C
%If not the first supervisor,
% then replace supervisorAs with supervisorBs or
% supervisorCAs as appropriate
\supervisorAsLastname{Maguire Jr}
\supervisorAsFirstname{Gerald Quentin}
\supervisorAsEmail{maguire@kth.se}
% If the supervisor is from within KTH
% add their KTHID, School and Department info
\supervisorCsKTHID{u1d13i2c}
%\supervisorCsSchool{\schoolAcronym{EECS}}
%\supervisorCsDepartment{Department}
```

### Example with an API key

```bash
./whoami_for_latex.py maguire@kth.se 11
%If not the first supervisor,
% then replace supervisorAs with supervisorBs or
% supervisorCAs as appropriate
\supervisorAsLastname{Maguire Jr}
\supervisorAsFirstname{Gerald Quentin}
\supervisorAsEmail{maguire@kth.se}
% If the supervisor is from within KTH
% add their KTHID, School and Department info
\supervisorAsKTHID{u1d13i2c}
\supervisorAsSchool{\schoolAcronym{EECS}}
\supervisorAsDepartment{Computer Science}
```

```bash
./whoami_for_latex.py maguire@kth.se 11 B
\supervisorBsLastname{Maguire Jr}
\supervisorBsFirstname{Gerald Quentin}
\supervisorBsEmail{maguire@kth.se}
% If the supervisor is from within KTH
% add their KTHID, School and Department info
\supervisorBsKTHID{u1d13i2c}
\supervisorBsSchool{\schoolAcronym{EECS}}
\supervisorBsDepartment{Computer Science}
```

### Example for an external supervisor
```bash
./whoami_for_latex.py json@company.com 11 C
Could not find user with e-mail address json@company.com in course 11
You will need to manually edit the following entry
\supervisorCsLastname{lastname}
\supervisorCsFirstname{firstname}
\supervisorCsEmail{json@company.com}
```

## ISP_JSON_to_configuration_info.py
### Purpose
To take the information JSON file produced by extract_dc_meta_data_from_PDF.py and ouput line sthat can be included in to the custom_configuration.tex for a third-cycle thesis.

### Input
```bash
./ISP_JSON_to_configuration_info.py xxx.json [course_id]
```

### Output
For a INFKTEKN student who has completed a Licentiate degree, it outputs:
```
\title{xxxxxx}
\subtitle{}
\alttitle{}
\altsubtitle{}
\courseCycle{3}
\programcode{INFKTEKN}
% Use the default subject area for your program or manually specify it
\subjectArea{\programmecodeToString{INFKTEKN}}
\degreeName{Doctorate}
% To support Doctor of Philosophy and Licentiate of Philosophy degrees in addition to Tekn. Dr. and Tekn. Lic. - Uncomment the following line.
%\degreeModifier{Philosophy}
% --- Author Information ---
\authorsLastname{xxx}
\authorsFirstname{yyy}
\email{x@kth.se}
\kthid{u1xxxxxx}
\authorsSchool{\schoolAcronym{EECS}}
\orcid{0000-0001-xxxx-yyyy}
\authorsDepartment{Computer Science}
% -- supervisorA
\supervisorAsLastname{xxxx}
\supervisorAsFirstname{yyyy}
\supervisorAsEmail{zzz@kth.se}
\supervisorAsKTHID{u12eursm}
\supervisorAsSchool{\schoolAcronym{EECS}}
\supervisorAsDepartment{Computer Science}
% -- supervisorB
\supervisorBsLastname{xxxx}
\supervisorBsFirstname{yyyy}
\supervisorBsEmail{zzzz@kth.se}
\supervisorBsKTHID{u1xxxxx}
\supervisorBsSchool{\schoolAcronym{EECS}}
\supervisorBsDepartment{Computer Science}
```

### Note
When used **without** specify a Canvas course room ID, it requires Canvas administrator privlidges. Also, note that currently this only works for a Canvas administrator for sub-account 59 (i.e., "EECS - Imported course rounds").

This mapping also requires a KTH Profile API key.

Currently, experimental support for external supervisors (not tested against data from an actual ISP).

### Example

```bash
./ISP_JSON_to_configuration_info.py /tmp/example.json
```

```bash
./ISP_JSON_to_configuration_info.py /tmp/example.json  42241
```

## extract_text_split_on_stopwords.py

### Purpose
To extract words and phrases from a thesis PDF file with an aim to help identify suitable keywords for the thesis.

### Input
```bash
./extract_text_split_on_stopwords.py PDF_file
```

### Output
outputs  txt file with some words and phrases as well as outputting some common prefixes and common suffixes of these phrases.

### Note 
This ia work in progress and can result in a large number of potential words and phrases that still need to be manually filtered.

## extract_terms_from_CSV.py

### Purpose
Reads a 3-column CSV file (subject,predicate,object) and extracts all
unique subjects and objects into a new text file, one term per line.

Also outputs narrow terms (NT) and broad terms (BT) as separate files.

### Input
```bash
extract_terms_from_CSV.py input_csv_file output_txt_file
```

### Output
Outputs the number of unique terms, the number of narrow terms, and the number of broad terms
and outputs files with names of the form:
* base_output_name.txt
* base_output_name + '_narrow.txt'
* base_output_name + '_broad.txt'

Success! Wrote 11625 unique terms to '/tmp/ieee_thesaurus_2023_terms.txt'.
Wrote 7057 narrow terms to '/tmp/ieee_thesaurus_2023_terms_narrow.txt'.
Wrote 2209 broad terms to '/tmp/ieee_thesaurus_2023_terms_broad.txt'.

### Note 
One might use this with the CSV file: https://github.com/angelosalatino/ieee-taxonomy-thesaurus-rdf/blob/main/source/cleaned_ieee_thesaurus_2023.csv

### Example

```bash
./extract_terms_from_CSV.py /tmp/cleaned_ieee_thesaurus_2023.csv /tmp/ieee_thesaurus_2023_terms.txt
Success! Wrote 11625 unique terms to '/tmp/ieee_thesaurus_2023_terms.txt'.
Wrote 7057 narrow terms to '/tmp/ieee_thesaurus_2023_terms_narrow.txt'.
Wrote 2209 broad terms to '/tmp/ieee_thesaurus_2023_terms_broad.txt'.

```

## thesis_keyword_extractor.py
### Purpose
Thesis Keyword Suggestion Tool

### Input
```bash
.thesis_keyword_extractor.py PDF_file
```

### Output
```bash
Extracting text...
Successfully extracted 148 pages.
Analyzing text case usage...
Identifying keywords...

=============================================

[LOSS] (Total: 286)                           |        | A1
  - loss                                      | 141    | A1
  - loss engineering                          | 44     | 
  - terahertz loss                            | 38     | 
  - terahertz loss engineering                | 38     | 
  - insertion loss                            | 25     |

[TERAHERTZ] (Total: 251)                      |        | B1
  - terahertz                                 | 175    | B1
  - terahertz loss                            | 38     | 
  - terahertz loss engineering                | 38     |

[DIELECTRIC] (Total: 238)                     |        | C2
  - dielectric                                | 141    | C2
  - dielectric waveguide                      | 70     | 
  - dielectric rod                            | 27     |

[PASSIVE] (Total: 153)                        |        | B2
  - passive component                         | 42     | 
  - all-silicon THz passive                   | 37     | 
  - THz passive                               | 37     | 
  - THz passive component                     | 37     |

Suggestion: Key phrases often make better thesis keywords than single words.
```

### Note 
In the output above the thesis author's name has been replaced with "<author's name>".

### Keyword Suggestion Methodology

This program uses statistical analysis (___frequency counting___ and ___n-gram extraction___) combined with linguistic filtering to suggest keywords.

#### Limitations regarding Named Entities

Currently, the tool does not utilize Named Entity Recognition (NER). Consequently, it cannot distinguish between a frequent proper noun (such as an author's name) and a frequent technical term.

* ***Issue***: If the author's, supervisor's, or co-authors' names appear frequently (e.g., in headers or footers), they will likely appear in the suggested keywords list.

* ***Action***: These names are generally unsuitable as keywords and requires the user to manually ignore them.

#### CEFR Level Interpretation

The tool references multiple English language dictionaries (via common_english.py) to estimate CEFR levels for extracted terms. This provides a useful heuristic for selection:

* ***B1 / B2 (Intermediate)***: These phrases are often the "sweet spot" for keywords. They are likely specific enough to be meaningful, while broad enough to be commonly searched terms.

* ***C1 / C2 (Advanced)***: These terms are likely highly specific technical terms. Use these to emphasize specific content, novelties, or technical depth in the thesis.

* ***A1 / A2 (Basic)***: In contrast, these terms will usually be too generic for use as thesis keywords.

#### The Human Element

> "Algorithms count tokens, but humans index concepts."

The program acts as a statistical aid but requires the user to perform the final evaluation. Your goal in selecting keywords is to attract readers to content they will find relevant. This selection requires human judgment to verify that a statistically frequent term actually represents a core concept of the work.

#### Future Improvements

* ***Name Filtering***: A potential improvement is to utilize common_english.names_of_persons (classifying them as {'B2': 'Noun (proper name)'}) to help automatically filter out names of persons.

* ***Expanded Dictionaries***: The CEFR lookup capabilities could be expanded by incorporating additional dictionary sources.

Some additional dictionaries have been added - each augmented with POS and CEFR levels:
* ACM_CCS.py - ACM Computing Classification System (CCS) https://dl.acm.org/ccs
* IEEE_thesaurus.py - Terms from the IEEE thesaurus 2023 - based on the CSV file: https://github.com/angelosalatino/ieee-taxonomy-thesaurus-rdf/blob/main/source/cleaned_ieee_thesaurus_2023.csv
* msc2020.py - American Mathematical Society (AMS) Mathematics Subject Classification (MSC) - additionally augmented with MSC code - based on https://mathscinet.ams.org/mathscinet/msc/pdfs/classifications2020.pdf

The mapping between subject areas and the above files and dicts is done via subject_area_config.json. The basic format of this file is:
```python
{
    "degree_areas": {
        "Computer Science": [
            "ACM_toplevel",
            "ACM_categories",
            "IEEE_thesaurus_2023_broad_terms",
            "IEEE_thesaurus_2023_narrow_terms"
        ],
        "Electrical Engineering": [
            "ACM_toplevel",
            "ACM_categories",
            "IEEE_thesaurus_2023_broad_terms",
            "IEEE_thesaurus_2023_narrow_terms"
        ],
        "Information and Communication Technology": [
            "ACM_toplevel",
            "ACM_categories",
            "IEEE_thesaurus_2023_broad_terms",
            "IEEE_thesaurus_2023_narrow_terms"
        ]
    },
    "all_dicts": [
        {
            "source_file": "IEEE_thesaurus.py",
            "dict_name": "IEEE_thesaurus_2023_broad_terms",
            "display_name": "IEEE Thesaurus 2023 (Broad Terms)"
        },
        {
            "source_file": "IEEE_thesaurus.py",
            "dict_name": "IEEE_thesaurus_2023_narrow_terms",
            "display_name": "IEEE Thesaurus 2023 (Narrow Terms)"
        },
        {
            "source_file": "ACM_CCS.py",
            "dict_name": "ACM_categories",
            "display_name": "ACM Computing Classification System (Full Categories)"
        },
        {
            "source_file": "ACM_CCS.py",
            "dict_name": "ACM_toplevel",
            "display_name": "ACM Computing Classification System (Top Level)"
        }
    ]
}

```

The program tries to determine the subject area based on the cover or title page.

##  Physics_keywords.py

### Purpose

Physics keywords, derived from American Physical Society (APS) - Physics Subject Headings with CEFR levels added.

## Construction_Surveying_and_Civil_Engineering.py

### Purpose
Contains terms from the (Oxford) "Dictionary of Construction, Surveying and Civil Engineering" along with CEFR levels.

## AAT_terms_with_CEFR.py

### Purpose
Contatins the Getty Art & Architecture Thesaurus (AAT) with 175,284 terms and their CEFR levels.
The AAT dataset comes from http://aatdownloads.getty.edu/

It contains information from the J. Paul Getty Trust, Getty Research Institute, the Art & Architecture Thesaurus, which is made available under the ODC Attribution License, i.e., the Open Data Commons Attribution License (ODC-By) 1.0.

## check_subjects_on_3rd_cycle_covers.py

### Purpose
To check the subject on the cover of third cycle theses agains the actual list of subjects.

### Input
```bash
check_subjects_on_3rd_cycle_covers.py dir_name
```

### Output
Outputs the block of text from the cover and tries to extract the subject.

### Note

The program is overly accepting as it will find the subject - even if it is followed by another string that makes it not a valid subject. For example, 'Doctoral Thesis in Physics, Materials & Nanophysics' will be matched when looking for 'Doctoral Thesis in Physics' - but the additional ', Materials & Nanophysics' turns the subject into an invalid subject.

## Crossref_HTML-to-spreadsheet.py

### Purpose
To process references from the HTML table produced by Crossref to add to a spreadsheet.

### Input
```bash
./Crossref_HTML-to-spreadsheet.py HTML_file spreadsheet_file
```

### Output
Outputs an updated spreadsheet file (either .csv or x.slx based on the spreadsheet_file name. It creates the file if it does not already exist.

The program can be used with bash script: batch_update_from_crossref.sh to process all of the .html files in a directory.

## compare_dois.py

### Purpose
Compares the 'DOI in Reference' and 'Crossref DOI' columns from the output of Crossref_HTML-to-spreadsheet.py to evaluate matching performance.

### Input
```bash
./compare_dois.py spreadsheet_file.xlsx
```

### Output
outputs an updated spreadsheet with the name {base_name}-matched{ext}

<!--

## xxx.py

### Purpose
To

### Input
```bash
./xxx.py KTHID_of_user
```

### Output
outputs

### Note

### Example

```bash
./xxx.py u1d13i2c
```

You can xxxx, for example:
```

```

-->

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