index : archinstall32 | |
Archlinux32 installer | gitolite user |
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-rw-r--r-- | archinstall/lib/output.py | 78 |
diff --git a/archinstall/lib/output.py b/archinstall/lib/output.py index e2b38ce6..709a7382 100644 --- a/archinstall/lib/output.py +++ b/archinstall/lib/output.py @@ -2,45 +2,83 @@ import logging import os import sys from pathlib import Path -from typing import Dict, Union, List, Any +from typing import Dict, Union, List, Any, Callable from .storage import storage +from dataclasses import asdict, is_dataclass class FormattedOutput: @classmethod - def values(cls, o: Any) -> Dict[str, Any]: - if hasattr(o, 'as_json'): + def values(cls, o: Any, class_formatter: str = None, filter_list: List[str] = None) -> Dict[str, Any]: + """ the original values returned a dataclass as dict thru the call to some specific methods + this version allows thru the parameter class_formatter to call a dynamicly selected formatting method. + Can transmit a filter list to the class_formatter, + """ + if class_formatter: + # if invoked per reference it has to be a standard function or a classmethod. + # A method of an instance does not make sense + if callable(class_formatter): + return class_formatter(o, filter_list) + # if is invoked by name we restrict it to a method of the class. No need to mess more + elif hasattr(o, class_formatter) and callable(getattr(o, class_formatter)): + func = getattr(o, class_formatter) + return func(filter_list) + # kept as to make it backward compatible + elif hasattr(o, 'as_json'): return o.as_json() elif hasattr(o, 'json'): return o.json() + elif is_dataclass(o): + return asdict(o) else: return o.__dict__ @classmethod - def as_table(cls, obj: List[Any]) -> str: + def as_table(cls, obj: List[Any], class_formatter: Union[str, Callable] = None, filter_list: List[str] = None) -> str: + """ variant of as_table (subtly different code) which has two additional parameters + filter which is a list of fields which will be shon + class_formatter a special method to format the outgoing data + + A general comment, the format selected for the output (a string where every data record is separated by newline) + is for compatibility with a print statement + As_table_filter can be a drop in replacement for as_table + """ + raw_data = [cls.values(o, class_formatter, filter_list) for o in obj] + # determine the maximum column size column_width: Dict[str, int] = {} - for o in obj: - for k, v in cls.values(o).items(): - column_width.setdefault(k, 0) - column_width[k] = max([column_width[k], len(str(v)), len(k)]) - + for o in raw_data: + for k, v in o.items(): + if not filter_list or k in filter_list: + column_width.setdefault(k, 0) + column_width[k] = max([column_width[k], len(str(v)), len(k)]) + + if not filter_list: + filter_list = (column_width.keys()) + # create the header lines output = '' - for key, width in column_width.items(): + key_list = [] + for key in filter_list: + width = column_width[key] key = key.replace('!', '') - output += key.ljust(width) + ' | ' - - output = output[:-3] + '\n' + key_list.append(key.ljust(width)) + output += ' | '.join(key_list) + '\n' output += '-' * len(output) + '\n' - for o in obj: - for k, v in cls.values(o).items(): - if '!' in k: - v = '*' * len(str(v)) - output += str(v).ljust(column_width[k]) + ' | ' - output = output[:-3] - output += '\n' + # create the data lines + for record in raw_data: + obj_data = [] + for key in filter_list: + width = column_width.get(key, len(key)) + value = record.get(key, '') + if '!' in key: + value = '*' * width + if isinstance(value,(int, float)) or (isinstance(value, str) and value.isnumeric()): + obj_data.append(str(value).rjust(width)) + else: + obj_data.append(str(value).ljust(width)) + output += ' | '.join(obj_data) + '\n' return output |