pasturepy is a Python tool for generating JSON feed definitions for use with Graze. Use it to programmatically create and customize feeds for Graze.
feat: regex node from line-delimited files
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pasturepy/nodes/text.py
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pasturepy/nodes/text.py
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from pathlib import Path
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from pasturepy.constants.fields import OPTION_FIELDS, TEXT_FIELDS
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from pasturepy.constants.graze_json import REGEX_METHODS, WORD_METHODS
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···
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TextNode._validate_field(field)
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return filter_group.add_filter({method: [field, term, ignore_case]})
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@staticmethod
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def regex_from_files(
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filter_group,
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method: str,
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field: str,
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file_paths: str | list[str],
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optimize: bool = False,
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ignore_case: bool = True,
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):
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if method not in REGEX_METHODS:
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raise ValueError(
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f"Invalid method '{method}'. Must be one of {REGEX_METHODS}"
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)
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TextNode._validate_field(field)
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paths = [file_paths] if isinstance(file_paths, str) else file_paths
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all_terms = []
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for file in paths:
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terms = _read_term_file(file)
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all_terms.extend(terms)
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if not all_terms:
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raise ValueError("No patterns found in term files")
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if optimize:
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final_regex = _optimal_join(all_terms)
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else:
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final_regex = _simple_join(all_terms)
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return filter_group.add_filter({method: [field, final_regex, ignore_case]})
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def _read_term_file(file_path: str) -> list[str]:
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path = Path(file_path)
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if not path.exists():
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raise FileNotFoundError(f"{file_path} not found")
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terms = []
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with path.open("r", encoding="utf-8") as f:
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for line in f:
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line = line.strip()
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if not line:
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continue
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terms.append(line)
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return terms
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def _simple_join(terms: list[str]) -> str:
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if len(terms) == 1:
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return terms[0]
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return f"(?:{'|'.join(terms)})"
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def _optimal_join(terms: list[str]) -> str:
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# TODO: actually do optimization lol
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if len(terms) == 1:
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return terms[0]
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return f"(?:{'|'.join(terms)})"