Supplier script for group and course associations.
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@ -9,13 +9,35 @@ BASEFILE = "~/Downloads/Supplier Academy Course Groupings.csv"
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def parse_csv():
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df = pd.read_csv(BASEFILE)
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unique_groups = df['group_uuid'].nunique()
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unique_groups = df['group_uuid'].unique().tolist()
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unique_group_name = df['group_name'].unique().tolist()
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groups = df.groupby('group_uuid')
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for key,item in groups:
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print(groups.get_group(key), "\n\n")
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pass
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# print(groups.get_group(key), "\n\n")
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print(f"Total Number of courses: {df['course_name'].nunique()}")
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print(f"Number of Unique Groups: {unique_groups}")
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print(unique_group_name, unique_groups)
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# print(f"Number of Unique Groups: {unique_groups}")
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remove_group_courses(unique_groups)
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def remove_group_courses(unique_groups):
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"""
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From Bartosz Chodyla: There's a non-public endpoint:
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/v1/group_courses/:id
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where id is the UUID of a record from the group_courses table. You can get the UUIDs directly from the DB or by calling another non-public endpoint, which is:
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/v1/groups/:group_uuid/courses
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"""
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print(unique_groups)
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for group_uuid in unique_groups:
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print(group_uuid)
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# Get Group Courses
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get_gcourses = f"https://api2.northpass.com/v1/groups/{group_uuid}/courses"
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group_courses = requests.get(get_gcourses, headers=HEADERS)
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gcourse_json = group_courses.json()
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print(gcourse_json)
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if __name__ == "__main__":
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parse_csv()
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