def __init__(self, **kwargs) -> None:
self._logger = WriterLogger(self)
self.table_name = kwargs.get("table_name", "")
self.value_matrix = kwargs.get("value_matrix", [])
self.is_write_header = True
self.is_write_header_separator_row = True
self.is_write_value_separator_row = False
self.is_write_opening_row = False
self.is_write_closing_row = False
self._use_default_header = False
self._dp_extractor = DataPropertyExtractor()
self._dp_extractor.min_column_width = 1
self._dp_extractor.strip_str_header = '"'
self._dp_extractor.preprocessor = Preprocessor(strip_str='"')
self._dp_extractor.type_value_map[Typecode.NONE] = ""
self._dp_extractor.matrix_formatting = MatrixFormatting.HEADER_ALIGNED
self._dp_extractor.update_strict_level_map({Typecode.BOOL: 1})
self.is_formatting_float = kwargs.get("is_formatting_float", True)
self.is_padding = True
self.headers = kwargs.get("headers", [])
self.type_hints = kwargs.get("type_hints", [])
self._quoting_flags = {
Typecode.BOOL: False,
Typecode.DATETIME: True,
Typecode.DICTIONARY: False,
Typecode.INFINITY: False,
Typecode.INTEGER: False,
Typecode.IP_ADDRESS: True,
Typecode.LIST: False,
Typecode.NAN: False,
Typecode.NONE: False,
Typecode.NULL_STRING: True,
Typecode.REAL_NUMBER: False,
Typecode.STRING: True,
}
self._is_require_table_name = False
self._is_require_header = False
self.iteration_length = -1
self.write_callback = lambda _iter_count, _iter_length: None # NOP
self._iter_count = None # type: Optional[int]
self.__default_style = Style()
self.__col_style_list = kwargs.get("column_styles", []) # type: List[Optional[Style]]
self._style_filters = [] # type: List[StyleFilterFunc]
self._styler = self._create_styler(self)
self.style_filter_kwargs = {} # type: Dict[str, Any]
self.__colorize_terminal = kwargs.get("colorize_terminal", True)
self.__enable_ansi_escape = True
self.max_workers = kwargs.get("max_workers", 1)
self.__clear_preprocess()
def main():
# sample data definitions
dt = datetime.datetime(2017, 1, 1, 0, 0, 0)
inf = float("inf")
nan = float("nan")
data_matrix = [
[1, 1.1, "aa", 1, 1, True, inf, nan, dt],
[2, 2.2, "bbb", 2.2, 2.2, False, "inf", "nan", dt],
[3, 3.33, "cccc", -3, "ccc", "true", inf,
"NAN", "2017-01-01T01:23:45+0900"],
]
# extract property for each column from a matrix
dp_extractor = DataPropertyExtractor()
dp_extractor.header_list = [
"int", "float", "str", "num", "mix", "bool", "inf", "nan", "time"]
dp_extractor.data_matrix = data_matrix
col_dp_list = dp_extractor.to_col_dataproperty_list()
print("---------- typename ----------")
print([Typecode.get_typename(dp.typecode) for dp in col_dp_list])
display_col_dp(col_dp_list, "align")
display_col_dp(col_dp_list, "ascii_char_width")
display_col_dp(col_dp_list, "decimal_places")
return 0
def main():
# sample data definitions
dt = datetime.datetime(2017, 1, 1, 0, 0, 0)
inf = float("inf")
nan = float("nan")
# extract data property for each element from a matrix
dp_extractor = DataPropertyExtractor()
dp_matrix = dp_extractor.to_dp_matrix([
[1, 1.1, "aa", 1, 1, True, inf, nan, dt],
[2, 2.2, "bbb", 2.2, 2.2, False, "inf", "nan", dt],
[
3, 3.33, "cccc", -3, "ccc", "true", inf, "NAN",
"2017-01-01T01:23:45+0900"
],
])
print("---------- typename ----------")
for dp_list in dp_matrix:
print([dp.typecode.name for dp in dp_list])
display_dp_matrix_attr(dp_matrix, "data")
display_dp_matrix_attr(dp_matrix, "align")
display_dp_matrix_attr(dp_matrix, "ascii_char_width")
display_dp_matrix_attr(dp_matrix, "integer_digits")
display_dp_matrix_attr(dp_matrix, "decimal_places")
return 0
def __init__(self, source, quoting_flags):
self.table_name = tnt.DEFAULT
self.source = source
self.__quoting_flags = quoting_flags
self._validator = None
self._logger = None
self.__dp_extractor = DataPropertyExtractor()
self.__dp_extractor.quoting_flags = self.quoting_flags
def __init__(self, source, quoting_flags, type_hints):
self.table_name = tnt.DEFAULT
self.source = source
self.__quoting_flags = quoting_flags
self.type_hints = type_hints
self._validator = None
self._logger = None
self.__dp_extractor = DataPropertyExtractor()
self.__dp_extractor.quoting_flags = self.quoting_flags
self.__dp_extractor.strict_level_map[typepy.Typecode.BOOL] = 1
def dp_extractor():
return DataPropertyExtractor()
def __init__(self):
self._logger = WriterLogger(self)
self._table_name = None
self.value_matrix = None
self.is_write_header = True
self.is_write_header_separator_row = True
self.is_write_value_separator_row = False
self.is_write_opening_row = False
self.is_write_closing_row = False
self._use_default_header = False
self._dp_extractor = DataPropertyExtractor()
self._dp_extractor.min_column_width = 1
self._dp_extractor.strip_str_header = '"'
self._dp_extractor.strip_str_value = '"'
self._dp_extractor.type_value_map[Typecode.NONE] = ""
self._dp_extractor.matrix_formatting = MatrixFormatting.HEADER_ALIGNED
self._dp_extractor.strict_level_map[Typecode.BOOL] = 1
self.is_formatting_float = True
self.is_padding = True
self.is_escape_html_tag = False
self.header_list = None
self.type_hint_list = None
self._quoting_flags = {
Typecode.BOOL: False,
Typecode.DATETIME: True,
Typecode.DICTIONARY: False,
Typecode.INFINITY: False,
Typecode.INTEGER: False,
Typecode.IP_ADDRESS: True,
Typecode.LIST: False,
Typecode.NAN: False,
Typecode.NONE: False,
Typecode.NULL_STRING: True,
Typecode.REAL_NUMBER: False,
Typecode.STRING: True,
}
self._is_require_table_name = False
self._is_require_header = False
self.__line_break_handling = None
self.line_break_handling = LineBreakHandling.NOP
self.iteration_length = -1
self.write_callback = lambda _iter_count, _iter_length: None # NOP
self._iter_count = None
self.__align_list = []
self.__align_char_mapping = {
Align.AUTO: "<",
Align.LEFT: "<",
Align.RIGHT: ">",
Align.CENTER: "^",
}
self.__style_list = []
self.__clear_preprocess()
def __init__(self, **kwargs) -> None:
self._logger = WriterLogger(self)
self.table_name = kwargs.get("table_name", "")
self.value_matrix = kwargs.get("value_matrix", [])
self.is_write_header = kwargs.get("is_write_header", True)
self.is_write_header_separator_row = kwargs.get(
"is_write_header_separator_row", True)
self.is_write_value_separator_row = kwargs.get(
"is_write_value_separator_row", False)
self.is_write_opening_row = kwargs.get("is_write_opening_row", False)
self.is_write_closing_row = kwargs.get("is_write_closing_row", False)
self._use_default_header = False
self._dp_extractor = DataPropertyExtractor(
max_precision=kwargs.get("max_precision"))
self._dp_extractor.min_column_width = 1
self._dp_extractor.strip_str_header = '"'
self._dp_extractor.preprocessor = Preprocessor(
dequote=kwargs.get("dequote", True))
self._dp_extractor.type_value_map[Typecode.NONE] = ""
self._dp_extractor.matrix_formatting = MatrixFormatting.HEADER_ALIGNED
self._dp_extractor.update_strict_level_map({Typecode.BOOL: 1})
self.is_formatting_float = kwargs.get("is_formatting_float", True)
self.is_padding = kwargs.get("is_padding", True)
self.headers = kwargs.get("headers", [])
self.type_hints = kwargs.get("type_hints", [])
self._quoting_flags = {
Typecode.BOOL: False,
Typecode.DATETIME: True,
Typecode.DICTIONARY: False,
Typecode.INFINITY: False,
Typecode.INTEGER: False,
Typecode.IP_ADDRESS: True,
Typecode.LIST: False,
Typecode.NAN: False,
Typecode.NONE: False,
Typecode.NULL_STRING: True,
Typecode.REAL_NUMBER: False,
Typecode.STRING: True,
}
self._is_require_table_name = False
self._is_require_header = False
self.iteration_length = kwargs.get("iteration_length", -1)
self.write_callback = kwargs.get(
"write_callback",
lambda _iter_count, _iter_length: None # defaults to NOP callback
)
self._iter_count: Optional[int] = None
self.__default_style: Style
self.default_style = kwargs.get("default_style", Style())
self.__col_style_list: List[Optional[Style]] = []
self.column_styles = kwargs.get("column_styles", [])
self._style_filters: List[StyleFilterFunc] = []
self._styler = self._create_styler(self)
self.style_filter_kwargs: Dict[str, Any] = kwargs.get(
"style_filter_kwargs", {})
self.__colorize_terminal = kwargs.get("colorize_terminal", True)
self.__enable_ansi_escape = kwargs.get("enable_ansi_escape", True)
self.max_workers = kwargs.get("max_workers", 1)
if "dataframe" in kwargs:
self.from_dataframe(kwargs["dataframe"])
self.__clear_preprocess()