First commit

submission.py

@@ -0,0 +1,105 @@
+from urllib.parse import urlencode
+from urllib.request import urlopen
+import pickle
+import json
+from collections import OrderedDict
+import numpy as np
+import os
+
+
+class SubmissionBase:
+
+    submit_url = 'https://www-origin.coursera.org/api/' \
+                 'onDemandProgrammingImmediateFormSubmissions.v1'
+    save_file = 'token.pkl'
+
+    def __init__(self, assignment_slug, part_names):
+        self.assignment_slug = assignment_slug
+        self.part_names = part_names
+        self.login = None
+        self.token = None
+        self.functions = OrderedDict()
+        self.args = dict()
+
+    def grade(self):
+        print('\nSubmitting Solutions | Programming Exercise %s\n' % self.assignment_slug)
+        self.login_prompt()
+
+        # Evaluate the different parts of exercise
+        parts = OrderedDict()
+        for part_id, result in self:
+            parts[str(part_id)] = {'output': sprintf('%0.5f ', result)}
+        result, response = self.request(parts)
+        response = json.loads(response)
+
+        # if an error was returned, print it and stop
+        if 'errorMessage' in response:
+            print(response['errorMessage'])
+            return
+
+        # Print the grading table
+        print('%43s | %9s | %-s' % ('Part Name', 'Score', 'Feedback'))
+        print('%43s | %9s | %-s' % ('---------', '-----', '--------'))
+        for part in parts:
+            part_feedback = response['partFeedbacks'][part]
+            part_evaluation = response['partEvaluations'][part]
+            score = '%d / %3d' % (part_evaluation['score'], part_evaluation['maxScore'])
+            print('%43s | %9s | %-s' % (self.part_names[int(part) - 1], score, part_feedback))
+        evaluation = response['evaluation']
+        total_score = '%d / %d' % (evaluation['score'], evaluation['maxScore'])
+        print('                                  --------------------------------')
+        print('%43s | %9s | %-s\n' % (' ', total_score, ' '))
+
+    def login_prompt(self):
+        if os.path.isfile(self.save_file):
+            with open(self.save_file, 'rb') as f:
+                login, token = pickle.load(f)
+            reenter = input('Use token from last successful submission (%s)? (Y/n): ' % login)
+
+            if reenter == '' or reenter[0] == 'Y' or reenter[0] == 'y':
+                self.login, self.token = login, token
+                return
+            else:
+                os.remove(self.save_file)
+
+        self.login = input('Login (email address): ')
+        self.token = input('Token: ')
+
+        # Save the entered credentials
+        if not os.path.isfile(self.save_file):
+            with open(self.save_file, 'wb') as f:
+                pickle.dump((self.login, self.token), f)
+
+    def request(self, parts):
+        params = {
+            'assignmentSlug': self.assignment_slug,
+            'secret': self.token,
+            'parts': parts,
+            'submitterEmail': self.login}
+
+        params = urlencode({'jsonBody': json.dumps(params)}).encode("utf-8")
+        f = urlopen(self.submit_url, params)
+        try:
+            return 0, f.read()
+        finally:
+            f.close()
+
+    def __iter__(self):
+        for part_id in self.functions:
+            yield part_id
+
+    def __setitem__(self, key, value):
+        self.functions[key] = value
+
+
+def sprintf(fmt, arg):
+    """ Emulates (part of) Octave sprintf function. """
+    if isinstance(arg, tuple):
+        # for multiple return values, only use the first one
+        arg = arg[0]
+
+    if isinstance(arg, (np.ndarray, list)):
+        # concatenates all elements, column by column
+        return ' '.join(fmt % e for e in np.asarray(arg).ravel('F'))
+    else:
+        return fmt % arg