專為 學生/助教/開發者 所寫的 iLMS 通用 API/command-line 環境
- 列出 修課課程 / 作業 / 上課教材
- 下載 作業 / 上課教材
- 上傳 csv檔登記作業分數
- 從 PyPI上安裝pip install -U ilms-nthu 
- 從本專案原始碼安裝最新版
pip install git+https://github.com/leVirve/iLms-nthu-API 
Note: 本專案開發測試在 Python3.5+
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列出本學期所有課程 ilms view course 
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列出所有修過課程 ilms view course --semester_id all 
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列出某學期修過課程, e.g. ilms view course --semester_id 1051 
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列出某課程所有作業, e.g. # 只需輸入 課號 (course id)/課程中英文 關鍵字 ilms view homework --course CS65500 ilms view homework --course Vision ilms view homework --course 電腦視覺
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完整指令 Usage: ilms view [OPTIONS] 查詢項目 選擇查詢項目 課程 / 作業 / 上課教材 ['course', 'homework', 'material'] Options: --semester_id TEXT 學期 --course TEXT 課程關鍵字 --verbose 顯示詳細資訊 --help Show this message and exit. 
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下載所有上課教材, e.g. # 只需輸入 課號 (course id)/課程中英文 關鍵字 ilms download material --course 35700 ilms download material --course 多媒體 ilms download material --course Visual Effects
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[助教模式 TA mode] 下載所有學生作業, e.g. # --course 課號 (course id)/課程中英文 關鍵字 # --hw_title 作業標題 關鍵字 ilms download handin --course CS35700 --hw_title Homework1 
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完整指令 Usage: ilms download [OPTIONS] 下載項目 選擇下載項目 上課教材 / 繳交作業 (助教) ['material', 'handin'] Options: --course TEXT 課程關鍵字 --hw_title TEXT 作業標題 --folder TEXT 下載至...資料夾 --help Show this message and exit. 
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[助教模式 TA mode] 透過上傳分數 csv檔登記分數, e.g.# --course 課號 (course id)/課程中英文 關鍵字 # --hw_title 作業標題 關鍵字 ilms score --course CS35700 --hw_title Homework1 --score_csv hw1-cs3570.csv 
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完整指令 Usage: ilms score [OPTIONS] Options: --course TEXT 課程關鍵字 --hw_title TEXT 作業標題 --csv TEXT CSV 成績表 --help Show this message and exit.
ilms logout- You need login for any operations that need privileges.
- login with helper function get_account()
from ilms.core import User
from ilms.core import Core as iLms
from ilms.utils import get_account
user = User(*get_account())
assert user.login()
# You can take your profile
profile = ilms.get_profile()
ilms = iLms(user)# iterate through courses with loop
for cou in ilms.get_courses():
    cou.course_id
    print(cou)
# query with 'keyword', can be coures_id or partial course name in `en` or `zh`
courses = ilms.get_courses()
cou = courses.find(course_id='CS35700')
cou = courses.find(name='視覺特效')
cou = courses.find(name='Pattern Recog')for material in cou.get_materials():
    print(material)
    material.download(root_folder='download/cvfx/')from ilms.utils import load_score_csv
homeworks = cou.get_homeworks()
hw1 = homeworks.find(title='Homework1')
hw1.download_handins()- Use helper function load_score_csv()to load the scores in csv file (contains only two columns,student idandscore)
- Can do some processes on the score_map, and then usescore_haninsmethod to grading in bulk.
from ilms.utils import load_score_csv
homeworks = cou.get_homeworks()
hw1 = homeworks.find(title='Homework1')
score_map = load_score_csv('hw1-cs35700.csv')
score_map = {
    student_id: math.ceil(score)
    for student_id, score in score_map.items()}
hw1.score_handins(score_map)from ilms.core import User
from ilms.core import Core as iLms
''' 1. get your profile '''
profile = ilms.get_profile()
''' 2. iterate through all your courses '''
for cou in ilms.get_courses():
    ''' 2.a find out all homewrok information '''
    for homework in cou.get_homeworks():
        ''' 3. if you're TA, you should get this feature
               to explore all the students' works !
               [View the detail / Download files]
        '''
        for handin in homework.handin_list:
            pprint(handin.detail)
            handin.download()
    ''' 4. You can download all materials in few lines ! '''
    for material in cou.get_materials():
        print(material.detail)
        material.download()
    print(cou.get_forum_list().result)Even, with smart query feature
courses = ilms.get_courses()
''' get the specific course with keyword '''
course = courses.find(course_id='CS35700')
homeworks = course.get_homeworks()
''' get the specific homework (in two ways) '''
hw1 = homeworks.get(0)
hw1 = homeworks.find(title='Homework1')
''' get the specific haned_in homework '''
handin = hw1.get(87)
handin = hw1.handin_list.find(authour='王曉明')
handin = hw1.handin_list.find(date='2017-03-25')