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https://github.com/kellyjonbrazil/jc.git
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add add_jc_meta decorator
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53
jc/utils.py
53
jc/utils.py
@ -3,6 +3,7 @@ import sys
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import re
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import locale
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import shutil
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from functools import wraps
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from datetime import datetime, timezone
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from textwrap import TextWrapper
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from typing import Dict, Iterable, List, Union, Optional
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@ -248,6 +249,58 @@ def stream_error(e: BaseException, ignore_exceptions: bool, line: str) -> Dict:
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}
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def add_jc_meta(func):
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"""
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Decorator for streaming parsers to add stream_success and stream_error
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objects. This simplifies the yield lines in the streaming parsers.
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With the decorator on parse():
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# successfully parsed line:
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yield output_line if raw else _process(output_line)
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# unsuccessfully parsed line:
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except Exception as e:
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yield e, line
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Without the decorator on parse():
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# successfully parsed line:
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yield stream_success(output_line, ignore_exceptions) if raw else stream_success(_process(output_line), ignore_exceptions)
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# unsuccessfully parsed line:
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except Exception as e:
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yield stream_error(e, ignore_exceptions, line)
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In all cases above:
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output_line: (Dict): successfully parsed line yielded as a dict
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e: (BaseException): exception object as the first value
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of the tuple if the line was not successfully parsed.
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line: (str): string of the original line that did not
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successfully parse.
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"""
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@wraps(func)
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def wrapper(*args, **kwargs):
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ignore_exceptions = kwargs.get('ignore_exceptions', False)
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gen = func(*args, **kwargs)
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for value in gen:
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# if the yielded value is a dict, then we know it was a
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# successfully parsed line
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if isinstance(value, dict):
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yield stream_success(value, ignore_exceptions)
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# otherwise it will be a tuple and we know it was an error
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else:
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exception_obj = value[0]
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line = value[1]
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yield stream_error(exception_obj, ignore_exceptions, line)
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return wrapper
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def input_type_check(data: str) -> None:
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"""Ensure input data is a string. Raises `TypeError` if not."""
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if not isinstance(data, str):
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