Python Gradebook.find_student方法代码示例

# 需要导入模块: from nbgrader.api import Gradebook [as 别名]
# 或者: from nbgrader.api.Gradebook import find_student [as 别名]
    def init_assignment(self, assignment_id, student_id):
        super(AutogradeApp, self).init_assignment(assignment_id, student_id)

        # try to get the student from the database, and throw an error if it
        # doesn't exist
        gb = Gradebook(self.db_url)
        try:
            gb.find_student(student_id)
        except MissingEntry:
            if self.create_student:
                self.log.warning("Creating student with ID '%s'", student_id)
                gb.add_student(student_id)
            else:
                self.fail("No student with ID '%s' exists in the database", student_id)

        # try to read in a timestamp from file
        src_path = self._format_source(assignment_id, student_id)
        timestamp = self._get_existing_timestamp(src_path)
        if timestamp:
            submission = gb.update_or_create_submission(
                assignment_id, student_id, timestamp=timestamp)
            self.log.info("%s submitted at %s", submission, timestamp)

            # if the submission is late, print out how many seconds late it is
            if timestamp and submission.total_seconds_late > 0:
                self.log.warning("%s is %s seconds late", submission, submission.total_seconds_late)

        else:
            submission = gb.update_or_create_submission(assignment_id, student_id)

        # copy files over from the source directory
        self.log.info("Overwriting files with master versions from the source directory")
        dest_path = self._format_dest(assignment_id, student_id)
        source_path = self.directory_structure.format(
            nbgrader_step=self.source_directory,
            student_id='.',
            assignment_id=assignment_id)
        source_files = utils.find_all_files(source_path, self.ignore + ["*.ipynb"])

        # copy them to the build directory
        for filename in source_files:
            dest = os.path.join(dest_path, os.path.relpath(filename, source_path))
            ensure_dir_exists(os.path.dirname(dest))
            if not os.path.normpath(dest) == os.path.normpath(filename):
                self.log.info("Linking %s -> %s", filename, dest)
                link_or_copy(filename, dest)

        # ignore notebooks that aren't in the database
        notebooks = []
        for notebook in self.notebooks:
            notebook_id = os.path.splitext(os.path.basename(notebook))[0]
            try:
                gb.find_notebook(notebook_id, assignment_id)
            except MissingEntry:
                self.log.warning("Skipping unknown notebook: %s", notebook)
                continue
            else:
                notebooks.append(notebook)
        self.notebooks = notebooks

# 需要导入模块: from nbgrader.api import Gradebook [as 别名]
# 或者: from nbgrader.api.Gradebook import find_student [as 别名]
class SaveAutoGrades(Preprocessor):
    """Preprocessor for saving out the autograder grades into a MongoDB"""

    db_name = Unicode("gradebook", config=True, help="Database name")
    db_ip = Unicode("localhost", config=True, help="IP address for the database")
    db_port = Integer(27017, config=True, help="Port for the database")

    assignment_id = Unicode(u'assignment', config=True, help="Assignment ID")

    def preprocess(self, nb, resources):
        # connect to the mongo database
        self.gradebook = Gradebook(self.db_name, ip=self.db_ip, port=self.db_port)
        self.student = self.gradebook.find_student(
            student_id=resources['nbgrader']['student_id'])
        self.assignment = self.gradebook.find_assignment(
            assignment_id=self.assignment_id)
        self.notebook = self.gradebook.find_or_create_notebook(
            notebook_id=resources['unique_key'],
            student=self.student,
            assignment=self.assignment)

        # keep track of the number of comments we add
        self.comment_index = 0

        # process the cells
        nb, resources = super(SaveAutoGrades, self).preprocess(nb, resources)

        return nb, resources

    def _add_comment(self, cell, resources):
        """Graders can optionally add comments to the student's solutions, so
        add the comment information into the database if it doesn't
        already exist. It should NOT overwrite existing comments that
        might have been added by a grader already.

        """

        # retrieve or create the comment object from the database
        comment = self.gradebook.find_or_create_comment(
            notebook=self.notebook,
            comment_id=self.comment_index)

        # update the number of comments we have inserted
        self.comment_index += 1
        self.log.debug(comment)

    def _add_score(self, cell, resources):
        """Graders can override the autograder grades, and may need to
        manually grade written solutions anyway. This function adds
        score information to the database if it doesn't exist. It does
        NOT override the 'score' field, as this is the manual score
        that might have been provided by a grader.

        """
        # these are the fields by which we will identify the score
        # information
        grade = self.gradebook.find_or_create_grade(
            notebook=self.notebook,
            grade_id=cell.metadata['nbgrader']['grade_id'])

        # set the maximum earnable score
        points = float(cell.metadata['nbgrader']['points'])
        grade.max_score = points

        # If it's a code cell and it threw an error, then they get
        # zero points, otherwise they get max_score points. If it's a
        # text cell, we can't autograde it.
        if cell.cell_type == 'code':
            grade.autoscore = points
            for output in cell.outputs:
                if output.output_type == 'pyerr':
                    grade.autoscore = 0
                    break

        else:
            grade.autoscore = None

        # Update the grade information and print it out
        self.gradebook.update_grade(grade)
        self.log.debug(grade)

    def preprocess_cell(self, cell, resources, cell_index):
        # if it's a solution cell, then add a comment
        if utils.is_solution(cell):
            self._add_comment(cell, resources)

        # if it's a grade cell, the add a grade
        if utils.is_grade(cell):
            self._add_score(cell, resources)

        return cell, resources