def get_instruments_by_exercise_id_csv(exercise_id, session=None):
        """
        Finds all collection instruments associated with an exercise and returns them in csv format

        :param exercise_id
        :param session: database session
        :return: collection instruments in csv
        """
        log.info('Getting csv for instruments', exercise_id=exercise_id)

        validate_uuid(exercise_id)
        csv_format = '"{count}","{file_name}","{length}","{date_stamp}"\n'
        count = 1
        csv = csv_format.format(count='Count',
                                file_name='File Name',
                                length='Length',
                                date_stamp='Time Stamp')
        exercise = query_exercise_by_id(exercise_id, session)

        if not exercise:
            return None

        for instrument in exercise.instruments:
            csv += csv_format.format(count=count,
                                     file_name=instrument.name,
                                     length=instrument.seft_file.len if instrument.seft_file else None,
                                     date_stamp=instrument.stamp)
            count += 1
        return csv
    def upload_instrument_with_no_collection_exercise(self, survey_id, classifiers=None, session=None):
        """
        Upload a collection instrument to the db without a collection exercise

        :param classifiers: Classifiers associated with the instrument
        :param session: database session
        :param survey_id: database session
        :return: a collection instrument instance
        """

        log.info('Upload instrument', survey_id=survey_id)

        validate_uuid(survey_id)
        instrument = InstrumentModel(ci_type='EQ')

        survey = self._find_or_create_survey_from_survey_id(survey_id, session)
        instrument.survey = survey

        if classifiers:
            deserialized_classifiers = loads(classifiers)
            instruments = self._get_instruments_by_classifier(deserialized_classifiers, None, session)
            for instrument in instruments:
                if instrument.classifiers == deserialized_classifiers:
                    raise RasError("Cannot upload an instrument with an identical set of classifiers", 400)
            instrument.classifiers = deserialized_classifiers

        session.add(instrument)

        return instrument
    def test_validate_uuid_error(self):

        # Given a invalid uuid
        uuid = "invalid_uuid"

        # When a call is made to validate_uuid
        # Then an RasError is raised
        with self.assertRaises(RasError):
            validate_uuid(uuid)
    def get_instrument_by_id(instrument_id, session):
        """
        Get the collection instrument from the db using the id

        :param instrument_id: The id of the instrument we want
        :param session: database session
        :return: instrument
        """
        log.info('Searching for instrument', instrument_id=instrument_id)
        validate_uuid(instrument_id)
        instrument = query_instrument_by_id(instrument_id, session)
        return instrument
    def get_exercise_by_id(exercise_id, session):
        """
        Retrieves exercise

        :param exercise_id: An exercise id (UUID)
        :param session: database session
        :return: exercise
        """
        log.info('Searching for exercise', exercise_id=exercise_id)
        validate_uuid(exercise_id)
        exercise = query_exercise_by_id(exercise_id, session)
        return exercise
Пример #6
0
    def upload_to_bucket(self, exercise_id, file, ru_ref=None, classifiers=None, session=None):
        """
        Encrypt and upload a collection instrument to the bucket and db

        :param exercise_id: An exercise id (UUID)
        :param ru_ref: The name of the file we're receiving
        :param classifiers: Classifiers associated with the instrument
        :param file: A file object from which we can read the file contents
        :param session: database session
        :return: a collection instrument instance
        """

        log.info("Upload exercise", exercise_id=exercise_id)

        validate_uuid(exercise_id)
        self.validate_non_duplicate_instrument(file, exercise_id, session)
        instrument = InstrumentModel(ci_type="SEFT")

        seft_file = self._create_seft_file(instrument.instrument_id, file, encrypt_and_save_to_db=False)
        instrument.seft_file = seft_file

        exercise = self._find_or_create_exercise(exercise_id, session)
        instrument.exercises.append(exercise)

        survey = self._find_or_create_survey_from_exercise_id(exercise_id, session)
        instrument.survey = survey

        if ru_ref:
            business = self._find_or_create_business(ru_ref, session)
            self.validate_one_instrument_for_ru_specific_upload(exercise, business, session)
            instrument.businesses.append(business)

        if classifiers:
            instrument.classifiers = loads(classifiers)

        try:
            survey_ref = get_survey_ref(instrument.survey.survey_id)
            file.filename = survey_ref + "/" + exercise_id + "/" + file.filename
            seft_ci_bucket = GoogleCloudSEFTCIBucket(current_app.config)
            seft_ci_bucket.upload_file_to_bucket(file=file)
            instrument.seft_file.gcs = True
        except Exception as e:
            log.exception("An error occurred when trying to put SEFT CI in bucket")
            raise e

        session.add(instrument)
        return instrument
Пример #7
0
    def get_instruments_by_exercise_id_csv(exercise_id, session=None):
        """
        Finds all collection instruments associated with an exercise and returns them in csv format

        :param exercise_id
        :param session: database session
        :return: collection instruments in csv
        """
        log.info("Getting csv for instruments", exercise_id=exercise_id)

        validate_uuid(exercise_id)
        csv_format = '"{count}","{file_name}","{length}","{date_stamp}"\n'
        count = 1
        csv = csv_format.format(count="Count", file_name="File Name", length="Length", date_stamp="Time Stamp")
        exercise = query_exercise_by_id(exercise_id, session)

        if not exercise:
            return None

        for instrument in exercise.instruments:
            if instrument.seft_file.gcs:
                try:
                    survey_ref = get_survey_ref(instrument.survey.survey_id)
                    exercise_id = str(instrument.exids[0])
                    file_path = survey_ref + "/" + exercise_id + "/" + instrument.seft_file.file_name
                    seft_ci_bucket = GoogleCloudSEFTCIBucket(current_app.config)
                    file = seft_ci_bucket.download_file_from_bucket(file_path)
                    csv += csv_format.format(
                        count=count,
                        file_name=instrument.seft_file.file_name,
                        length=len(file),
                        date_stamp=instrument.stamp,
                    )
                except Exception:
                    log.exception("Couldn't find SEFT CI in bucket")
            else:
                csv += csv_format.format(
                    count=count,
                    file_name=instrument.name,
                    length=instrument.seft_file.len if instrument.seft_file else None,
                    date_stamp=instrument.stamp,
                )
            count += 1
        return csv
    def link_instrument_to_exercise(self, instrument_id, exercise_id, session=None):
        """
        Link a collection instrument to a collection exercise

        :param instrument_id: A collection instrument id (UUID)
        :param exercise_id: A collection exercise id (UUID)
        :param session: database session
        :return: True if instrument has been successfully linked to exercise
        """
        log.info('Linking instrument to exercise', instrument_id=instrument_id, exercise_id=exercise_id)
        validate_uuid(instrument_id)
        validate_uuid(exercise_id)

        instrument = self.get_instrument_by_id(instrument_id, session)
        exercise = self._find_or_create_exercise(exercise_id, session)
        instrument.exercises.append(exercise)

        log.info('Successfully linked instrument to exercise', instrument_id=instrument_id, exercise_id=exercise_id)
        return True
    def test_validate_uuid(self):

        # Given a valid uuid
        uuid = "6710e50e-224b-4918-9706-c6b28f7481cd"

        # When a call is made to validate_uuid
        is_valid_uuid = validate_uuid(uuid)

        # Then True is returned
        self.assertTrue(is_valid_uuid)
    def patch_seft_instrument(self, instrument_id: str, file, session):
        """
        Replaces the the seft_file for an instrument with the one provided.

        :param instrument_id: The top level instrument id that needs changing
        :param file: A FileStorage object with the new file
        :param session: A database session
        :raises RasError: Raised when instrument id is invalid, instrument not found, or instrument isn't of type SEFT
        """
        validate_uuid(instrument_id)
        instrument = self.get_instrument_by_id(instrument_id, session)
        if instrument is None:
            log.error('Instrument not found')
            raise RasError('Instrument not found', 400)
        if instrument.type != 'SEFT':
            log.error('Not a SEFT instrument')
            raise RasError('Not a SEFT instrument', 400)

        seft_model = self._update_seft_file(instrument.seft_file, file)
        session.add(seft_model)
Пример #11
0
    def patch_seft_instrument(self, instrument_id: str, file, session):
        """
        Replaces the the seft_file for an instrument with the one provided.

        :param instrument_id: The top level instrument id that needs changing
        :param file: A FileStorage object with the new file
        :param session: A database session
        :raises RasError: Raised when instrument id is invalid, instrument not found, or instrument isn't of type SEFT
        """
        validate_uuid(instrument_id)
        instrument = self.get_instrument_by_id(instrument_id, session)
        if instrument is None:
            log.error("Instrument not found")
            raise RasError("Instrument not found", 400)
        if instrument.type != "SEFT":
            log.error("Not a SEFT instrument")
            raise RasError("Not a SEFT instrument", 400)

        survey_ref = get_survey_ref(instrument.survey.survey_id)
        exercise_id = str(instrument.exids[0])

        seft_model = self._update_seft_file(instrument.seft_file, file, survey_ref, exercise_id)
        session.add(seft_model)
    def upload_instrument(self, exercise_id, file, ru_ref=None, classifiers=None, session=None):
        """
        Encrypt and upload a collection instrument to the db

        :param exercise_id: An exercise id (UUID)
        :param ru_ref: The name of the file we're receiving
        :param classifiers: Classifiers associated with the instrument
        :param file: A file object from which we can read the file contents
        :param session: database session
        :return: a collection instrument instance
        """

        log.info('Upload exercise', exercise_id=exercise_id)

        validate_uuid(exercise_id)
        instrument = InstrumentModel(ci_type='SEFT')

        seft_file = self._create_seft_file(instrument.instrument_id, file)
        instrument.seft_file = seft_file

        exercise = self._find_or_create_exercise(exercise_id, session)
        instrument.exercises.append(exercise)

        survey = self._find_or_create_survey_from_exercise_id(exercise_id, session)
        instrument.survey = survey

        if ru_ref:
            business = self._find_or_create_business(ru_ref, session)
            self.validate_one_instrument_for_ru_specific_upload(exercise, business, session)
            instrument.businesses.append(business)

        if classifiers:
            instrument.classifiers = loads(classifiers)

        session.add(instrument)
        return instrument