heatmap/original_script.py at master · codepost-io/heatmap · GitHub

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import requests

import functools

import pandas as pd # Package to manipulate tables of data

import seaborn as sns # Package to create visual heatmap

import matplotlib.pyplot as plt # Package to plot heatmap

api_key = "<API - KEY>" # Temporary Api token provided to CourseAdmin user

headers = {"Authorization": api_key} # Set authorization token in header that will be passed with each api request

url = 'http://api.codepost.io/' # url

s = requests.Session()

####### Calculate the average grade of an assignment

def get_submissions(assignmentID):

r = requests.get(url + 'assignments/%s/submissions/' % str(assignmentID), headers=headers)

return r.json()

def avg_grade(assignmentID):

submissions = get_submissions(assignmentID=assignmentID) # Get all submissions for an assignment

graded_submissions = [sub for sub in submissions if sub['grade']] # Filter out ungraded submissions (grade == null)

avg_grade = functools.reduce(lambda x,y: x + y['grade'], graded_submissions, 0) / len(graded_submissions)

print("Average grade on this assignment is %s" % avg_grade)

avg_grade(2) # Get the average grade for assignment with id 2

####### Example 2: For a given assignment, create and plot a heatmap of rubricComment usage by Grader

def getCommentAuthor(commentID):

r = requests.get(url + 'comments/%s/' % str(commentID), headers=headers)

return r.json()['author']

def heatmap(assignmentID):

# hmap is a dictionary mapping {'graderEmail':{ ('rubricCommentName', 'rubricCommentID') : numTimesUsed }}

hmap = {}

# Get array of rubricComments for an assignment, each of which has fields 'id', 'text', and 'comments' (array of comment ids)

r = requests.get(url + 'assignments/%s/rubric/' % str(assignmentID), headers=headers)

for rubricComment in r.json()['rubricComments']:

rubricCommentIdentifier = (rubricComment['text'], rubricComment['id']) # Create a unique identifier of (text, id)

linkedCommentIDs = rubricComment['comments'] # Get all the submission comments that are linked to the rubricComment

for commentID in linkedCommentIDs:

# For each submission comment linked to the rubric comment, get the comment's author

grader =requests.get(url + 'comments/%s/' % str(commentID), headers=headers).json()["author"]

# Update the mapping

if grader in hmap and rubricCommentIdentifier in hmap[grader]:

hmap[grader][rubricCommentIdentifier] += 1

elif grader in hmap:

hmap[grader][rubricCommentIdentifier] = 1

else:

hmap[grader] = {rubricCommentIdentifier: 1}

# Heatmap styling and plotting - once the data is pulled, package choice and styling up to you :)

dataframe = pd.DataFrame(hmap)

dataframe.fillna(0, inplace=True) # Fill in zeroes for empty grader, rubricComment pairs

dataframe.rename(columns=lambda x: x.split("@")[0],inplace=True) # strip out netID for plot simplicity

dataframe = dataframe.reindex(sorted(dataframe.columns), axis=1) # sort columns

sns.heatmap(dataframe, cmap=sns.light_palette("green"), cbar_kws={'label': '# Comments'})

plt.xlabel('Grader emails')

plt.ylabel('Rubric Comment text - id')

plt.tight_layout()

plt.show()

heatmap(2) # Plot a heatmap for assignment with id 2

heatmap/original_script.py at master · codepost-io/heatmap · GitHub

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