ColinLeeo commented on code in PR #388: URL: https://github.com/apache/tsfile/pull/388#discussion_r1965923899
########## python/tsfile/field.py: ########## @@ -0,0 +1,205 @@ +# Licensed to the Apache Software Foundation (ASF) under one +# or more contributor license agreements. See the NOTICE file +# distributed with this work for additional information +# regarding copyright ownership. The ASF licenses this file +# to you under the Apache License, Version 2.0 (the +# "License"); you may not use this file except in compliance +# with the License. You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, +# software distributed under the License is distributed on an +# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY +# KIND, either express or implied. See the License for the +# specific language governing permissions and limitations +# under the License. +# + +from .constants import TSDataType +from .date_utils import parse_int_to_date +import numpy as np +import pandas as pd + + +class Field(object): + def __init__(self, field_name, data_type, value=None): + """ + :param data_type: TSDataType + """ + self.__data_type = data_type + self.value = value + if not isinstance(value, data_type.to_py_type()): + raise TypeError(f"Expected {data_type.to_py_type()} got {type(value)}") + self.field_name = field_name + + def get_data_type(self): + return self.__data_type + + def get_field_name(self): + return self.field_name + + def is_null(self): + return self.__data_type is None or self.value is None or self.value is pd.NA + + def set_bool_value(self, value: bool): + self.value = value + + def get_bool_value(self): + if ( + self.__data_type != TSDataType.BOOLEAN + or self.value is None + or self.value is pd.NA + ): + return None + return self.value + + def set_int_value(self, value: int): + if isinstance(value, int): + raise TypeError(f"Expected int got {type(value)}") + if not np.iinfo(np.int32).min <= value <= np.iinfo(np.int32).max: + raise OverflowError(f"data:{value} out of range of int32") + self.value = value + + def get_int_value(self): + if ( + self.__data_type != TSDataType.INT32 + and self.__data_type != TSDataType.DATE + or self.value is None + or self.value is pd.NA + ): + return None + return np.int32(self.value) + + def set_long_value(self, value: int): + if isinstance(value, int): + raise TypeError(f"Expected int got {type(value)}") + + if not np.iinfo(np.int64).min <= value <= np.iinfo(np.int64).max: + raise OverflowError(f"data:{value} out of range of int64") + self.value = value + + def get_long_value(self): + if self.__data_type is None: + raise Exception("Null Field Exception!") + if ( + self.__data_type != TSDataType.INT64 + and self.__data_type != TSDataType.TIMESTAMP + or self.value is None + or self.value is pd.NA + ): + return None + return np.int64(self.value) + + def set_float_value(self, value: float): + if isinstance(value, float): + raise TypeError(f"Expected float got {type(value)}") + if not np.finfo(np.float32).min <= value <= np.finfo(np.float32).max: + raise OverflowError(f"data:{value} out of range of float32") + self.value = value + + def get_float_value(self): + if self.__data_type is None: + raise Exception("Null Field Exception!") + if ( + self.__data_type != TSDataType.FLOAT + or self.value is None + or self.value is pd.NA + ): + return None + return np.float32(self.value) + + def set_double_value(self, value: float): + if isinstance(value, float): + raise TypeError(f"Expected float got {type(value)}") + if not np.finfo(np.float64).min <= value <= np.finfo(np.float64).max: + raise OverflowError(f"data:{value} out of range of float64") + self.value = value + + def get_double_value(self): + if self.__data_type is None: + raise Exception("Null Field Exception!") + if ( + self.__data_type != TSDataType.DOUBLE + or self.value is None + or self.value is pd.NA + ): + return None + return np.float64(self.value) + + def set_binary_value(self, value: bytes): + self.value = value + + def get_binary_value(self): + if self.__data_type is None: + raise Exception("Null Field Exception!") + if ( + self.__data_type != TSDataType.TEXT + and self.__data_type != TSDataType.STRING + and self.__data_type != TSDataType.BLOB + or self.value is None + or self.value is pd.NA + ): + return None + return self.value + + def get_date_value(self): + if self.__data_type is None: + raise Exception("Null Field Exception!") + if ( + self.__data_type != TSDataType.DATE + or self.value is None + or self.value is pd.NA + ): + return None + return parse_int_to_date(self.value) + + def get_string_value(self): + if self.__data_type is None or self.value is None or self.value is pd.NA: + return "None" + # TEXT, STRING + elif self.__data_type == TSDataType.TEXT or self.__data_type == TSDataType.STRING: + return self.value.decode("utf-8") + # BLOB + elif self.__data_type == TSDataType.BLOB: + return str(hex(int.from_bytes(self.value, byteorder="big"))) + else: + return str(self.get_object_value(self.__data_type)) + + def __str__(self): + return self.get_string_value() + + def get_object_value(self, data_type: TSDataType): + """ + :param data_type: TSDataType + """ + if self.__data_type is None or self.value is None or self.value is pd.NA: + return None + if data_type == TSDataType.BOOLEAN: + return bool(self.value) + elif data_type == TSDataType.INT32: + return np.int32(self.value) + elif data_type == TSDataType.INT64 or data_type == TSDataType.TIMESTAMP: + return np.int64(self.value) + elif data_type == TSDataType.FLOAT: + return np.float32(self.value) + elif data_type == TSDataType.DOUBLE: + return np.float64(self.value) + elif data_type == TSDataType.DATE: + return parse_int_to_date(self.value) + elif data_type == TSDataType.TEXT or data_type == TSDataType.BLOB or data_type == TSDataType.STRING: + return self.value + else: + raise RuntimeError("Unsupported data type:" + str(data_type)) + + @staticmethod + def get_field(field_name, value, data_type): + """ + :param field_name: field's name + :param value: field value corresponding to the data type + :param data_type: TSDataType + """ + if value is None or value is pd.NA: + return None Review Comment: fixed ########## python/tsfile/schema.py: ########## @@ -0,0 +1,73 @@ +# Licensed to the Apache Software Foundation (ASF) under one +# or more contributor license agreements. See the NOTICE file +# distributed with this work for additional information +# regarding copyright ownership. The ASF licenses this file +# to you under the Apache License, Version 2.0 (the +# "License"); you may not use this file except in compliance +# with the License. You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, +# software distributed under the License is distributed on an +# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY +# KIND, either express or implied. See the License for the +# specific language governing permissions and limitations +# under the License. +# +from typing import List + +from .constants import TSDataType, Category, TSEncoding, Compressor + +class TimeseriesSchema: + timeseries_name = None + data_type = None + encoding_type = None + compression_type = None + + def __init__(self, timeseries_name : str, data_type : TSDataType, encoding_type : TSEncoding = None, compression_type : Compressor = None): + self.timeseries_name = timeseries_name + self.data_type = data_type + self.encoding_type = encoding_type if encoding_type is not None else TSEncoding.PLAIN + self.compression_type = compression_type if compression_type is not None else Compressor.UNCOMPRESSED Review Comment: good idea -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: [email protected] For queries about this service, please contact Infrastructure at: [email protected]
