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63 lines
3.0 KiB
Python
63 lines
3.0 KiB
Python
"""Regexes for parsing frontmatter and note content."""
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from dataclasses import dataclass
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import regex as re
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from regex import Pattern
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@dataclass
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class Patterns:
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"""Regex patterns for parsing frontmatter and note content."""
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find_inline_tags: Pattern[str] = re.compile(
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r"""
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(?:^|[ \|_,;:\*\)\[\]\\\.]|(?<!\])\() # Before tag is start of line or separator
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(?<!\/\/[\w\d_\.\(\)\/&_-]+) # Before tag is not a link
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\#([^ \|,;:\*\(\)\[\]\\\.\n#&]+) # Match tag until separator or end of line
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""",
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re.MULTILINE | re.X,
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)
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find_inline_metadata: Pattern[str] = re.compile(
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r""" # First look for in-text key values
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(?:^\[| \[) # Find key with starting bracket
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([-_\w\d\/\*\u263a-\U0001f999]+?)::[ ]? # Find key
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(.*?)\] # Find value until closing bracket
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| # Else look for key values at start of line
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(?:^|[^ \w\d]+|^ *>?[-\d\|]?\.? ) # Any non-word or non-digit character
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([-_\w\d\/\*\u263a-\U0001f9995]+?)::(?!\n)(?:[ ](?!\n))? # Capture the key if not a new line
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(.*?)$ # Capture the value
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""",
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re.X | re.MULTILINE,
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)
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frontmatter_block: Pattern[str] = re.compile(r"^\s*(?P<frontmatter>---.*?---)", flags=re.DOTALL)
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frontmatt_block_strip_separators: Pattern[str] = re.compile(
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r"^\s*---(?P<frontmatter>.*?)---", flags=re.DOTALL
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)
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# This pattern will return a tuple of 4 values, two will be empty and will need to be stripped before processing further
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top_with_header: Pattern[str] = re.compile(
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r"""^\s* # Start of note
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(?P<top> # Capture the top of the note
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(---.*?---)? # Frontmatter, if it exists
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\s* # Any whitespace
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( # Full header, if it exists
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\#+[ ] # Match start of any header level
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( # Text of header
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[\w\d]+ # Word or digit
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| # Or
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[\[\]\(\)\+\{\}\"'\-\.\/\*\$\| ]+ # Special characters
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| # Or
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[\u263a-\U0001f999]+ # Emoji
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)+ # End of header text
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)? # End of full header
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) # End capture group
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""",
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flags=re.DOTALL | re.X,
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)
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validate_key_text: Pattern[str] = re.compile(r"[^-_\w\d\/\*\u263a-\U0001f999]")
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validate_tag_text: Pattern[str] = re.compile(r"[ \|,;:\*\(\)\[\]\\\.\n#&]")
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