How to use restore_object method in localstack

Best Python code snippet using localstack_python

serial.py

Source:serial.py

...15    classes = {}16    @classmethod17    def loads(cls, obj):18        di = json.loads(obj)19        return cls.restore_object(di)20    @classmethod21    def dumps(cls, obj):22        di = cls.convert_object(obj)23        return json.dumps(di)24    @classmethod25    def convert_object(cls, obj):26        """27        convert all objects to dictionaries - otherwise preserve structure28        """29        if obj == None:30            return obj31        for a in cls.allowed:32            if isinstance(obj, a):33                return obj34        if isinstance(obj, list):35            return [cls.convert_object(x) for x in obj]36        if isinstance(obj, dict):37            return {x: cls.convert_object(y) for x, y in obj.items()}38        # all other objects39        return {40            "_type": obj.__class__.__name__,41            "_content": cls.convert_object(obj.__dict__),42        }43    @classmethod44    def restore_object(cls, obj):45        """46        recreate objects bases on classes currently avaliable47        """48        if obj == None:49            return obj50        for a in cls.allowed:51            if isinstance(obj, a):52                return obj53        if isinstance(obj, list):54            return [cls.restore_object(x) for x in obj]55        if isinstance(obj, dict):56            try:57                # object restoration58                t = obj["_type"]59                model = cls.classes[t]60                ins = model.__new__(model)61                ins.__dict__.update(62                    {x: cls.restore_object(y) for x, y in obj["_content"].items()}63                )64                return ins65            except KeyError:66                return {x: cls.restore_object(y) for x, y in obj.items()}67class JsonBlockField(models.TextField):68    """69    store a collection of generic objects in JSON database70    """71    def from_db_value(self, value, expression, connection, context):72        if value is None:73            return []74        return BasicSerial.loads(value)75    def to_python(self, value):76        if isinstance(value, list):77            return value78        if value is None:79            return value80        return BasicSerial.loads(value)...

restore_object.py

Source:restore_object.py

...20# language governing permissions and limitations under the License.21import logging22import boto323from botocore.exceptions import ClientError24def restore_object(bucket_name, object_name, days, retrieval_type='Standard'):25    """Restore an archived S3 Glacier object in an Amazon S3 bucket26    :param bucket_name: string27    :param object_name: string28    :param days: number of days to retain restored object29    :param retrieval_type: 'Standard' | 'Expedited' | 'Bulk'30    :return: True if a request to restore archived object was submitted, otherwise31    False32    """33    # Create request to restore object34    request = {'Days': days,35               'GlacierJobParameters': {'Tier': retrieval_type}}36    # Submit the request37    s3 = boto3.client('s3')38    try:39        s3.restore_object(Bucket=bucket_name, Key=object_name, RestoreRequest=request)40    except ClientError as e:41        # NoSuchBucket, NoSuchKey, or InvalidObjectState error == the object's42        # storage class was not GLACIER43        logging.error(e)44        return False45    return True46def main():47    """Exercise restore_object()"""48    # Assign these values before running the program49    test_bucket_name = 'BUCKET_NAME'50    test_object_name = 'OBJECT_NAME'51    # Set up logging52    logging.basicConfig(level=logging.DEBUG,53                        format='%(levelname)s: %(asctime)s: %(message)s')54    # Restore archived object for two days. Expedite the restoration.55    success = restore_object(test_bucket_name, test_object_name, 2, 'Expedited')56    if success:57        logging.info(f'Submitted request to restore {test_object_name} '58                     f'in {test_bucket_name}')59if __name__ == '__main__':...

permit_predictor.py

Source:permit_predictor.py

...39        input('Year: '),40        input('Neighborhood: ')41    ]])42    # Restore required objects43    encoder = restore_object(ENCODER_PICKLE_FILE)44    pca = restore_object(PCA_PICKLE_FILE)45    clf = restore_object(MODEL_PICKLE_FILE)46    # Transform permit application47    permit = np.concatenate((encoder.transform(permit[:, CATEGORICAL_FEATURES]).toarray(),48                             permit[:, NUMERIC_FEATURES].astype(float)), axis=1)49    permit = pca.transform(permit)50    # Predict confidence that the permit will be issued51    confidence_issued = clf.predict_proba(permit)[0][1]52    print('The permit will be issued with a confidence of: ' + str(confidence_issued))53    if input("Would you want to predict another permit? (y/n)") == 'y':54        calc_confidence()55if __name__ == '__main__':...

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