Python transforms.dumps函数代码示例

    def _update_global_profile_attributes(
        cls,
        profile,
        email=None,
        legal_name=None,
        nick_name=None,
        date_of_birth=None,
        is_enrolled=None,
        final_grade=None,
        course_info=None,
    ):
        """Modifies various attributes of Student's Global Profile."""
        # TODO(psimakov): update of email does not work for student
        if email is not None:
            profile.email = email

        if legal_name is not None:
            profile.legal_name = legal_name

        if nick_name is not None:
            profile.nick_name = nick_name

        if date_of_birth is not None:
            profile.date_of_birth = date_of_birth

        if not (is_enrolled is None and final_grade is None and course_info is None):

            # Defer to avoid circular import.
            # pylint: disable-msg=g-import-not-at-top
            from controllers import sites

            course = sites.get_course_for_current_request()
            course_namespace = course.get_namespace_name()

            if is_enrolled is not None:
                enrollment_dict = transforms.loads(profile.enrollment_info)
                enrollment_dict[course_namespace] = is_enrolled
                profile.enrollment_info = transforms.dumps(enrollment_dict)

            if final_grade is not None or course_info is not None:
                course_info_dict = {}
                if profile.course_info:
                    course_info_dict = transforms.loads(profile.course_info)
                if course_namespace in course_info_dict.keys():
                    info = course_info_dict[course_namespace]
                else:
                    info = {}
                if final_grade:
                    info["final_grade"] = final_grade
                if course_info:
                    info["info"] = course_info
                course_info_dict[course_namespace] = info
                profile.course_info = transforms.dumps(course_info_dict)

    def main(self, sequence_num):
        """Main method of the deferred task."""

        with Namespace(self._namespace):
            logging.info('Job started: %s w/ sequence number %d',
                         self._job_name, sequence_num)

            try:
                # Check we haven't been canceled before we start.
                if self._already_finished(sequence_num):
                    logging.info(
                        'Job %s sequence %d already canceled or subsequent '
                        'run completed; not running this version.',
                        self._job_name, sequence_num)
                    return
                db.run_in_transaction(DurableJobEntity._start_job,
                                      self._job_name, sequence_num)
                result = self.run()
                db.run_in_transaction(DurableJobEntity._complete_job,
                                      self._job_name, sequence_num,
                                      transforms.dumps(result))
                logging.info('Job completed: %s', self._job_name)
            except (Exception, runtime.DeadlineExceededError) as e:
                logging.error(traceback.format_exc())
                logging.error('Job failed: %s\n%s', self._job_name, e)
                db.run_in_transaction(DurableJobEntity._fail_job,
                                      self._job_name, sequence_num,
                                      traceback.format_exc())
                raise deferred.PermanentTaskFailure(e)

    def main(self, sequence_num):
        """Main method of the deferred task."""

        with Namespace(self._namespace):
            logging.info('Job started: %s w/ sequence number %d',
                         self._job_name, sequence_num)

            time_started = time.time()
            try:
                db.run_in_transaction(DurableJobEntity._start_job,
                                      self._job_name, sequence_num)
                result = self.run()
                db.run_in_transaction(DurableJobEntity._complete_job,
                                      self._job_name, sequence_num,
                                      transforms.dumps(result),
                                      long(time.time() - time_started))
                logging.info('Job completed: %s', self._job_name)
            except (Exception, runtime.DeadlineExceededError) as e:
                logging.error(traceback.format_exc())
                logging.error('Job failed: %s\n%s', self._job_name, e)
                db.run_in_transaction(DurableJobEntity._fail_job,
                                      self._job_name, sequence_num,
                                      traceback.format_exc(),
                                      long(time.time() - time_started))
                raise deferred.PermanentTaskFailure(e)

    def main(self):
        """Main method of the deferred task."""
        logging.info('Job started: %s', self._job_name)

        time_started = time.time()
        old_namespace = namespace_manager.get_namespace()
        try:
            namespace_manager.set_namespace(self._namespace)
            try:
                db.run_in_transaction(DurableJobEntity._start_job,
                                      self._job_name)
                result = self.run()
                db.run_in_transaction(DurableJobEntity._complete_job,
                                      self._job_name, transforms.dumps(result),
                                      long(time.time() - time_started))
                logging.info('Job completed: %s', self._job_name)
            except (Exception, runtime.DeadlineExceededError) as e:
                logging.error(traceback.format_exc())
                logging.error('Job failed: %s\n%s', self._job_name, e)
                db.run_in_transaction(DurableJobEntity._fail_job,
                                      self._job_name, traceback.format_exc(),
                                      long(time.time() - time_started))
                raise deferred.PermanentTaskFailure(e)
        finally:
            namespace_manager.set_namespace(old_namespace)

 def to_json(self):
     """Creates JSON representation of this instance."""
     adict = copy.deepcopy(self)
     del adict._app_context
     return transforms.dumps(
         adict,
         indent=4, sort_keys=True,
         default=lambda o: o.__dict__)

 def save(cls, dto):
     entity = cls._load_entity(dto.id)
     if not entity:
         entity = cls.ENTITY()
     entity.data = transforms.dumps(dto.dict)
     entity.put()
     MemcacheManager.set(cls._memcache_key(entity.key().id()), entity)
     return entity.key().id()

 def set_info(cls, student, unit_id, info):
     st = info.get('start_time', None)
     if st:
         st = st.strftime(cls.timestamp_format)
     info['start_time'] = st
     info_ent = StudentPropertyEntity.create(student,
             cls.info_tmpl % unit_id)
     info_ent.value = transforms.dumps(info)
     info_ent.put()

    def add(self, name, data, mime=None):
        if not mime:
            mime = "unspecified"

        name = RE_NON_PRINTABLE.sub("", name)[0:131]
        mime = RE_NON_PRINTABLE.sub("", mime)[0:53]

        digest = transforms.sha1(data)
        d = transforms.dumps(data)
        row = u"%s\t%s\t%s\t%s\t%s\t%s\n" % (datetime.datetime.utcnow().isoformat(), mime, name, digest, len(data), d)
        self.store(row)

    def save_all(cls, dtos):
        """Performs a block persist of a list of DTO's."""
        entities = []
        for dto in dtos:
            entity = cls._load_entity(dto.id)
            if not entity:
                entity = cls.ENTITY()
            entity.data = transforms.dumps(dto.dict)
            entities.append(entity)

        keys = db.put(entities)
        for key, entity in zip(keys, entities):
            MemcacheManager.set(cls._memcache_key(key.id()), entity)
        return [key.id() for key in keys]

    def write(cls, unit_id, reviewee_key, contents):
        """Updates or creates a student submission, and returns the key.

        Args:
            unit_id: string. The id of the unit this submission belongs to.
            reviewee_key: db.Key of models.models.Student. The author of the
                submission.
            contents: object. The contents of the submission, as a Python
                object. This will be JSON-transformed before it is stored.

        Returns:
            db.Key of Submission.
        """
        return cls(
            unit_id=str(unit_id), reviewee_key=reviewee_key,
            contents=transforms.dumps(contents)
        ).put()

    def _set_entity_value(self, student_property, key, value):
        """Sets the integer value of a student property.

        Note: this method does not commit the change. The calling method should
        call put() on the StudentPropertyEntity.

        Args:
          student_property: the StudentPropertyEntity
          key: the student property whose value should be incremented
          value: the value to increment this property by
        """
        try:
            progress_dict = transforms.loads(student_property.value)
        except (AttributeError, TypeError):
            progress_dict = {}

        progress_dict[key] = value
        student_property.value = transforms.dumps(progress_dict)

def set_answer(answers, assessment_name, answer):
    """Stores the answer array for the given student and assessment.

    The caller must call answers.put() to commit.
    This does not do any type-checking on 'answer'; it just stores whatever
    is passed in.

    Args:
        answers: the StudentAnswers entity in which the answer should be stored.
        assessment_name: the name of the assessment.
        answer: an array containing the student's answers.
    """
    if not answers.data:
        score_dict = {}
    else:
        score_dict = transforms.loads(answers.data)
    score_dict[assessment_name] = answer
    answers.data = transforms.dumps(score_dict)

def set_score(student, assessment_name, score):
    """Stores the score for the given student and assessment.

    The caller must call student.put() to commit.
    This does not do any type-checking on 'score'; it just stores whatever
    is passed in.

    Args:
        student: the student whose answer should be stored.
        assessment_name: the name of the assessment.
        score: the student's score.
    """
    if not student.scores:
        score_dict = {}
    else:
        score_dict = transforms.loads(student.scores)
    score_dict[assessment_name] = score
    student.scores = transforms.dumps(score_dict)

    def write(cls, unit_id, reviewee_key, contents, instance_id=None):
        """Updates or creates a student submission, and returns the key.

        Args:
            unit_id: string. The id of the unit this submission belongs to.
            reviewee_key: db.Key of models.models.Student. The author of the
                submission.
            contents: object. The contents of the submission, as a Python
                object. This will be JSON-transformed before it is stored.
            instance_id: string. The instance id of a component (e.g., file
                upload) which submitted the content.

        Returns:
            db.Key of Submission.
        """
        return cls(
            unit_id=str(unit_id), reviewee_key=reviewee_key,
            contents=transforms.dumps(contents),
            instance_id=instance_id,
            updated_on=datetime.datetime.utcnow()
        ).put()

 def build_output(root_pipeline_id, results_list, error=None):
     return transforms.dumps({
         MapReduceJob._OUTPUT_KEY_ROOT_PIPELINE_ID: root_pipeline_id,
         MapReduceJob._OUTPUT_KEY_RESULTS: results_list,
         MapReduceJob._OUTPUT_KEY_ERROR: error,
         })