1116 lines
34 KiB
Python
1116 lines
34 KiB
Python
#!/usr/bin/env python3
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"""Extract Songs of the Vaiṣṇava Ācāryas (1972) from other.html.
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The book has 3 intro segments (front-pages, foreword, introduction),
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and 4 chapters (Parts 1–4).
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Output:
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lib/jsons/books/sva/intro.json — Book metadata
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lib/jsons/books/sva/intro/*.json — Intro segments
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lib/jsons/books/sva/chapters/*.json — Chapters (01–04)
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Usage:
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python3 scripts/sva_extract.py
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"""
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import json
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import os
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import re
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import sys
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from bs4 import BeautifulSoup, NavigableString, Tag
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# ---------------------------------------------------------------------------
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# ScaGoudy → IAST Unicode mapping
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# ---------------------------------------------------------------------------
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SCAGOUDY_TO_IAST = {
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"ä": "ā",
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"Ä": "Ā",
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"å": "ṛ",
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"Å": "Ṛ",
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"ñ": "ṣ",
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"Ñ": "Ṣ",
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"ö": "ṭ",
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"Ö": "Ṭ",
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"ë": "ṇ",
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"Ë": "Ṇ",
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"ò": "ḍ",
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"Ò": "Ḍ",
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"ç": "ś",
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"Ç": "Ś",
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"ì": "ṅ",
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"ï": "ñ",
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"ü": "ū",
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"Ü": "Ū",
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"é": "ī",
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"É": "Ī",
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"à": "ṁ",
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"ù": "ḥ",
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"è": "ṝ",
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"û": "ṁl",
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"ÿ": "ḷ",
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}
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def decode_scagoudy(text: str) -> str:
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"""Replace ScaGoudy-encoded characters with proper IAST Unicode."""
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for src, dst in SCAGOUDY_TO_IAST.items():
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text = text.replace(src, dst)
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return text
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def decode_html_content(tag: Tag) -> str:
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"""Extract inner HTML from a tag, decode ScaGoudy, preserve formatting tags."""
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inner = "".join(str(child) for child in tag.children)
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inner = decode_scagoudy(inner)
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# Remove span tags with CSS classes (RTF conversion artifacts)
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inner = re.sub(
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r'<span[^>]*class="[^"]*"[^>]*>(.*?)</span>', r"\1", inner, flags=re.DOTALL
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)
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# Clean up Apple-tab-span leftovers (tab characters)
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inner = inner.replace("\t", " ")
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# Normalize whitespace
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inner = re.sub(r"\s+", " ", inner).strip()
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return inner
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def decode_text(tag: Tag) -> str:
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"""Get plain text from a tag with ScaGoudy decoding."""
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return decode_scagoudy(tag.get_text().strip())
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def get_css_class(tag: Tag) -> str:
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"""Get the first CSS class of a tag, or empty string."""
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classes = tag.get("class", [])
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return classes[0] if classes else ""
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def is_empty(tag: Tag) -> bool:
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"""Check if a tag is empty or whitespace-only."""
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text = tag.get_text().strip()
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return not text or text == "\xa0"
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def is_dash_line(text: str) -> bool:
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"""Return True if text is only dashes, spaces, and/or whitespace."""
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cleaned = text.strip()
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if not cleaned:
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return False
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return all(c in "-—–\u2014\u2013 \t" for c in cleaned)
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def is_inside_table(tag: Tag) -> bool:
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"""Check if a tag is nested inside a <table> element."""
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parent = tag.parent
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while parent:
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if parent.name == "table":
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return True
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parent = parent.parent
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return False
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# ---------------------------------------------------------------------------
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# CSS class categorization for SVA
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# ---------------------------------------------------------------------------
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# Book title header (bold, p12)
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BOOK_HEADER_CLASS = "p12"
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# Bookmark class — section boundaries
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BOOKMARK_CLASS = "p13"
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# Song bookmark / section bookmark within a part
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SONG_BOOKMARK_CLASS = "p49"
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# Front pages text
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FRONT_PAGES_CLASS = "p18"
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# Body paragraph classes
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BODY_CLASSES = frozenset(["p6", "p48", "p140", "p204", "p44"])
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# Section headings (bold)
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SECTION_HEADING_CLASS = "p31"
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# Song title headings (bold)
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SONG_TITLE_CLASS = "p27"
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# Song title variant (bold italic with author)
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SONG_TITLE_VARIANT_CLASS = "p169"
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# Verse line classes (italic, centered)
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VERSE_PADA_CLASSES = frozenset(["p5", "p53", "p24", "p66", "p255"])
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# Verse number classes (e.g. "3)", "4)", "[1]") — centered but NOT verse text
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VERSE_NUMBER_CLASS = "p248"
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# Synonyms text
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SYNONYMS_CLASS = "p54"
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# Translation text (bold)
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TRANSLATION_CLASS = "p56"
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# "SYNONYMS" header
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SYNONYMS_HEADER_CLASS = "p165"
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# "TRANSLATION" header
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TRANSLATION_HEADER_CLASS = "p55"
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# Mantra text
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MANTRA_CLASS = "p19"
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# Note text
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NOTE_CLASS = "p204"
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# Attribution
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ATTRIBUTION_CLASS = "p129"
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# Date/location
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DATE_CLASS = "p67"
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# Signature block
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SIGNATURE_CLASS = "p222"
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# Bold section header
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BOLD_HEADER_CLASS = "p227"
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# Bracketed notes
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BRACKET_NOTE_CLASS = "p228"
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# Disciplic succession cell content
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DISC_SUCC_CLASS = "p229"
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# Reference notes
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REFERENCE_CLASSES = frozenset(
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[
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"p187",
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"p231",
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"p233",
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"p237",
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"p32",
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"p251",
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"p203",
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"p246",
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"p249",
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"p254",
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"p241",
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]
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)
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# Bold text classes
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BOLD_TEXT_CLASSES = frozenset(["p236", "p238"])
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# Synonym notes
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SYNONYM_NOTES_CLASS = "p247"
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# Bold headings
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BOLD_HEADING_CLASSES = frozenset(["p224", "p223"])
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# Part heading (bold, for song subsections)
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PART_HEADING_CLASS = "p22"
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# Sub-translation / inline bold classes
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INLINE_BOLD_CLASSES = frozenset(["p86", "p240", "p242", "p243", "p245", "p258"])
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# Verse number marker
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VERSE_NUMBER_CLASS = "p30"
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# Song commentary / purport headings
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PURPORT_HEADING_CLASS = "p96"
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# Purport body text
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PURPORT_BODY_CLASS = "p140"
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# Additional verse line classes in tables
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TABLE_VERSE_CLASSES = frozenset(["p248", "p255", "p5", "p6"])
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# Verse numbering markers
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VERSE_MARKER_CLASSES = frozenset(["p252", "p253"])
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# Classes to skip entirely (empty/break/decorative)
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SKIP_CLASSES = frozenset(
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[
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"p15",
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"p120",
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"p225",
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"p226",
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"p219",
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"p230",
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"p232",
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"p234",
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"p135",
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"p183",
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"p172",
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"p179",
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"p260",
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]
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)
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# ---------------------------------------------------------------------------
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# Extraction helpers
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# ---------------------------------------------------------------------------
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def find_sva_boundaries(all_elements: list) -> tuple:
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"""Find the start and end element indices of the SVA content.
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Start: <p class="p12"> containing "Songs of the Vaiñëava Äcäryas"
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End: <p class="p12"> containing "The Hare" (Cook Book)
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"""
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start_idx = None
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end_idx = len(all_elements)
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for i, elem in enumerate(all_elements):
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if elem.name != "p":
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continue
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cls = get_css_class(elem)
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text = decode_text(elem)
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# Find start
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if start_idx is None:
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if cls == BOOK_HEADER_CLASS and "Songs of the Vai" in text:
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start_idx = i
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continue
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# Find end: the next p12 header (Hare Kṛṣṇa Cook Book)
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if cls == BOOK_HEADER_CLASS:
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end_idx = i
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break
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if start_idx is None:
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print("ERROR: Could not find 'Songs of the Vaiṣṇava Ācāryas' header!")
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sys.exit(1)
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return start_idx, end_idx
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def find_sva_bookmarks(all_elements: list, start_idx: int, end_idx: int) -> list:
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"""Find all SVA bookmark/section tags in the SVA range.
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Looks for p13 class with "SVA" text, and p49 class with "SVA" text.
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Returns list of (element_index, bookmark_text, bookmark_type).
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bookmark_type is "p13" or "p49".
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"""
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bookmarks = []
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for i in range(start_idx, end_idx):
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elem = all_elements[i]
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if elem.name != "p":
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continue
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cls = get_css_class(elem)
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if cls not in (BOOKMARK_CLASS, SONG_BOOKMARK_CLASS):
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continue
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text = decode_text(elem).strip()
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if text.startswith("SVA"):
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bookmarks.append((i, text, cls))
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return bookmarks
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def process_table_t3(table: Tag) -> list:
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"""Process a t3 table (side-by-side Bengali verse + English translation).
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Returns a list of HTML paragraph strings.
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"""
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result = []
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for tr in table.find_all("tr"):
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tds = tr.find_all("td")
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if len(tds) < 2:
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# Single-cell row — just extract content
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for td in tds:
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for p in td.find_all("p"):
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html = decode_html_content(p)
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if html and html.strip() and html.strip() != "\xa0":
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result.append(html)
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continue
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# Left cell: Bengali verse lines
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left_ps = tds[0].find_all("p")
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verse_lines = []
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for p in left_ps:
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html = decode_html_content(p)
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if html and html.strip() and html.strip() != "\xa0":
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# Strip <i> tags — we'll re-wrap
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stripped = re.sub(r"</?i>", "", html)
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if stripped.strip():
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verse_lines.append(stripped.strip())
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if verse_lines:
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joined = "<br>".join(verse_lines)
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result.append(f'<div style="text-align:center"><i>{joined}</i></div>')
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# Right cell: English translation
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right_ps = tds[1].find_all("p")
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for p in right_ps:
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html = decode_html_content(p)
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if html and html.strip() and html.strip() != "\xa0":
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result.append(html)
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return result
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def process_table_t2(table: Tag) -> list:
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"""Process a t2 table (disciplic succession table).
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Extract cell content as regular paragraphs.
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"""
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result = []
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for tr in table.find_all("tr"):
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for td in tr.find_all("td"):
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for p in td.find_all("p"):
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html = decode_html_content(p)
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if html and html.strip() and html.strip() != "\xa0":
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result.append(html)
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return result
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def extract_paragraphs(
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all_elements: list,
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start_idx: int,
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end_idx: int,
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) -> list:
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"""Extract paragraphs for a section (chapter, intro segment).
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Handles all CSS classes within the SVA content.
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Handles <table class="t3"> and <table class="t2"> elements.
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Groups consecutive verse pāda classes into centered italic divs.
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"""
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result = []
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verse_accumulator = []
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# Track which <p> tags are inside tables we've already processed
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processed_table_ps = set()
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def flush_verse():
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if verse_accumulator:
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joined = "<br>".join(verse_accumulator)
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result.append(f'<div style="text-align:center"><i>{joined}</i></div>')
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verse_accumulator.clear()
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for i in range(start_idx, end_idx):
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elem = all_elements[i]
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# Handle tables
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if elem.name == "table":
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flush_verse()
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table_classes = elem.get("class", [])
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# Mark all <p> inside this table as processed
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for p in elem.find_all("p"):
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processed_table_ps.add(id(p))
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if "t3" in table_classes:
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table_paras = process_table_t3(elem)
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result.extend(table_paras)
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elif "t2" in table_classes:
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table_paras = process_table_t2(elem)
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result.extend(table_paras)
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else:
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# Generic table — extract all paragraph content
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for p in elem.find_all("p"):
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html = decode_html_content(p)
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if html and html.strip():
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result.append(html)
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continue
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if elem.name != "p":
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continue
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# Skip if this <p> was already processed as part of a table
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if id(elem) in processed_table_ps:
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continue
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# Skip if inside a table (safety check)
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if is_inside_table(elem):
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continue
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cls = get_css_class(elem)
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# Skip empty paragraphs
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if is_empty(elem):
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continue
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# Skip noise classes
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if cls in SKIP_CLASSES:
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continue
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# Skip bookmark tags (p13, p49) — these are navigation markers
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if cls == BOOKMARK_CLASS:
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continue
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if cls == SONG_BOOKMARK_CLASS:
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continue
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# Skip book title header (p12)
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if cls == BOOK_HEADER_CLASS:
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continue
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text = decode_text(elem)
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# Check for dash lines — skip them
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if is_dash_line(text):
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continue
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# Sanskrit verse pādas (p5, p53, p24, p248, p255) — accumulate
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if cls in VERSE_PADA_CLASSES:
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html = decode_html_content(elem)
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if html:
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stripped = re.sub(r"</?i>", "", html)
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if stripped.strip():
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verse_accumulator.append(stripped.strip())
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continue
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# Non-verse paragraph — flush any accumulated verse first
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flush_verse()
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# Front pages text (p18)
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if cls == FRONT_PAGES_CLASS:
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html = decode_html_content(elem)
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if html:
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result.append(html)
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continue
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# Section heading (p31) — bold
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if cls == SECTION_HEADING_CLASS:
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html = decode_html_content(elem)
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if html:
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if not html.strip().startswith("<b>"):
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html = f"<b>{html}</b>"
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result.append(html)
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continue
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# Song title (p27) — bold
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if cls == SONG_TITLE_CLASS:
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html = decode_html_content(elem)
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if html:
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if not html.strip().startswith("<b>"):
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html = f"<b>{html}</b>"
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result.append(html)
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continue
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|
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# Song title variant (p169) — bold italic with author
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if cls == SONG_TITLE_VARIANT_CLASS:
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||
html = decode_html_content(elem)
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if html:
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result.append(html)
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||
continue
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||
# Synonyms (p54)
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||
if cls == SYNONYMS_CLASS:
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html = decode_html_content(elem)
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if html:
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result.append(html)
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||
continue
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# Verse number heading (p248) — e.g. "3)", "4)", "[1]" — center it
|
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if cls == VERSE_NUMBER_CLASS:
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html = decode_html_content(elem)
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if html:
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result.append(f'<div style="text-align:center">{html}</div>')
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continue
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# Translation (p56) — bold, centered
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||
if cls == TRANSLATION_CLASS:
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html = decode_html_content(elem)
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if html:
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result.append(f'<div style="text-align:center">{html}</div>')
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continue
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|
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# SYNONYMS header (p165)
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||
if cls == SYNONYMS_HEADER_CLASS:
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||
html = decode_html_content(elem)
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if html:
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result.append(html)
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continue
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|
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# TRANSLATION header (p55)
|
||
if cls == TRANSLATION_HEADER_CLASS:
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||
html = decode_html_content(elem)
|
||
if html:
|
||
result.append(html)
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||
continue
|
||
|
||
# Mantra text (p19)
|
||
if cls == MANTRA_CLASS:
|
||
html = decode_html_content(elem)
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||
if html:
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||
result.append(html)
|
||
continue
|
||
|
||
# Attribution (p129)
|
||
if cls == ATTRIBUTION_CLASS:
|
||
html = decode_html_content(elem)
|
||
if html:
|
||
result.append(html)
|
||
continue
|
||
|
||
# Date/location (p67)
|
||
if cls == DATE_CLASS:
|
||
html = decode_html_content(elem)
|
||
if html:
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||
result.append(html)
|
||
continue
|
||
|
||
# Signature block (p222)
|
||
if cls == SIGNATURE_CLASS:
|
||
html = decode_html_content(elem)
|
||
if html:
|
||
result.append(html)
|
||
continue
|
||
|
||
# Bold section header (p227)
|
||
if cls == BOLD_HEADER_CLASS:
|
||
html = decode_html_content(elem)
|
||
if html:
|
||
if not html.strip().startswith("<b>"):
|
||
html = f"<b>{html}</b>"
|
||
result.append(html)
|
||
continue
|
||
|
||
# Bracketed notes (p228)
|
||
if cls == BRACKET_NOTE_CLASS:
|
||
html = decode_html_content(elem)
|
||
if html:
|
||
result.append(html)
|
||
continue
|
||
|
||
# Disciplic succession cell content (p229)
|
||
if cls == DISC_SUCC_CLASS:
|
||
html = decode_html_content(elem)
|
||
if html:
|
||
result.append(html)
|
||
continue
|
||
|
||
# Reference notes
|
||
if cls in REFERENCE_CLASSES:
|
||
html = decode_html_content(elem)
|
||
if html:
|
||
result.append(html)
|
||
continue
|
||
|
||
# Bold text classes
|
||
if cls in BOLD_TEXT_CLASSES:
|
||
html = decode_html_content(elem)
|
||
if html:
|
||
result.append(html)
|
||
continue
|
||
|
||
# Synonym notes (p247)
|
||
if cls == SYNONYM_NOTES_CLASS:
|
||
html = decode_html_content(elem)
|
||
if html:
|
||
result.append(html)
|
||
continue
|
||
|
||
# Bold headings (p224, p223)
|
||
if cls in BOLD_HEADING_CLASSES:
|
||
html = decode_html_content(elem)
|
||
if html:
|
||
if not html.strip().startswith("<b>"):
|
||
html = f"<b>{html}</b>"
|
||
result.append(html)
|
||
continue
|
||
|
||
# Part heading (p22) — e.g. "part 1", "part 2"
|
||
if cls == PART_HEADING_CLASS:
|
||
html = decode_html_content(elem)
|
||
if html:
|
||
result.append(html)
|
||
continue
|
||
|
||
# Inline bold classes (p86, p240, p242, p243, p245, p258)
|
||
if cls in INLINE_BOLD_CLASSES:
|
||
html = decode_html_content(elem)
|
||
if html:
|
||
result.append(html)
|
||
continue
|
||
|
||
# Verse number (p30)
|
||
if cls == VERSE_NUMBER_CLASS:
|
||
html = decode_html_content(elem)
|
||
if html:
|
||
result.append(html)
|
||
continue
|
||
|
||
# Purport heading (p96)
|
||
if cls == PURPORT_HEADING_CLASS:
|
||
html = decode_html_content(elem)
|
||
if html:
|
||
result.append(html)
|
||
continue
|
||
|
||
# Purport body (p140)
|
||
if cls == PURPORT_BODY_CLASS:
|
||
html = decode_html_content(elem)
|
||
if html:
|
||
result.append(html)
|
||
continue
|
||
|
||
# Verse markers (p252, p253)
|
||
if cls in VERSE_MARKER_CLASSES:
|
||
html = decode_html_content(elem)
|
||
if html:
|
||
result.append(html)
|
||
continue
|
||
|
||
# Body paragraphs (p6, p48, p140, p204, p44)
|
||
if cls in BODY_CLASSES:
|
||
html = decode_html_content(elem)
|
||
if html:
|
||
# Detect verses disguised as body: starts with <i> and has <br>
|
||
stripped_html = html.strip()
|
||
if stripped_html.startswith("<i>") and "<br" in stripped_html:
|
||
inner = re.sub(r"</?i>", "", stripped_html)
|
||
result.append(
|
||
f'<div style="text-align:center"><i>{inner}</i></div>'
|
||
)
|
||
else:
|
||
result.append(html)
|
||
continue
|
||
|
||
# Any other class — try to extract (be permissive)
|
||
html = decode_html_content(elem)
|
||
if html and not is_dash_line(text):
|
||
result.append(html)
|
||
|
||
# Flush any trailing verse
|
||
flush_verse()
|
||
|
||
return result
|
||
|
||
|
||
# ---------------------------------------------------------------------------
|
||
# Main extraction logic
|
||
# ---------------------------------------------------------------------------
|
||
|
||
|
||
def extract_sva(soup: BeautifulSoup) -> dict:
|
||
"""Extract the entire Songs of the Vaiṣṇava Ācāryas from the parsed HTML.
|
||
|
||
Returns a dict with:
|
||
"intro_segments": list of intro segment dicts
|
||
"chapters": list of chapter dicts
|
||
"chapter_listing": list of {number, title} for intro.json
|
||
"""
|
||
# Get all top-level <p> and <table> elements
|
||
all_elements = list(soup.find_all(["p", "table"]))
|
||
|
||
# Step 1: Find SVA boundaries
|
||
sva_start, sva_end = find_sva_boundaries(all_elements)
|
||
print(f" SVA content: elements {sva_start} to {sva_end}")
|
||
print(f" Total elements in range: {sva_end - sva_start}")
|
||
|
||
# Step 2: Find all SVA bookmarks
|
||
bookmarks = find_sva_bookmarks(all_elements, sva_start, sva_end)
|
||
print(f" Found {len(bookmarks)} SVA bookmarks")
|
||
for pos, text, cls in bookmarks[:20]:
|
||
print(f" Elem ~{pos} [{cls}]: {text[:80]}")
|
||
if len(bookmarks) > 20:
|
||
print(f" ... and {len(bookmarks) - 20} more")
|
||
|
||
# Step 3: Categorize bookmarks into sections
|
||
# p13 bookmarks define major sections:
|
||
# "SVA: Foreword" → foreword
|
||
# "SVA: Introduction" → introduction
|
||
# "SVA 2: ..." → Part 2 start
|
||
# "SVA 3: ..." → Part 3 start
|
||
# "SVA 4: ..." → Part 4 start
|
||
|
||
foreword_pos = None
|
||
introduction_pos = None
|
||
part2_pos = None
|
||
part3_pos = None
|
||
part4_pos = None
|
||
|
||
# p49 bookmarks define songs within parts:
|
||
# "SVA 1: ..." → songs in Part 1
|
||
# "SVA 2: ..." → songs in Part 2
|
||
# "SVA 3: ..." → songs in Part 3
|
||
# "SVA 4: ..." → songs in Part 4
|
||
|
||
# Also find the first SVA 1: bookmark (start of Part 1)
|
||
first_part1_pos = None
|
||
|
||
# Find "SVA: A Glimpse..." bookmark in intro
|
||
glimpse_pos = None
|
||
|
||
for pos, text, cls in bookmarks:
|
||
if cls == BOOKMARK_CLASS: # p13
|
||
if text.strip() == "SVA: Foreword":
|
||
foreword_pos = pos
|
||
elif text.strip() == "SVA: Introduction":
|
||
introduction_pos = pos
|
||
elif text.strip().startswith("SVA 2:"):
|
||
part2_pos = pos
|
||
elif text.strip().startswith("SVA 3:"):
|
||
part3_pos = pos
|
||
elif text.strip().startswith("SVA 4:"):
|
||
part4_pos = pos
|
||
|
||
if cls == SONG_BOOKMARK_CLASS: # p49
|
||
if text.strip().startswith("SVA 1:") and first_part1_pos is None:
|
||
first_part1_pos = pos
|
||
if "Glimpse" in text or "Life of" in text:
|
||
glimpse_pos = pos
|
||
|
||
print(f"\n Section boundaries:")
|
||
print(f" Book start: elem {sva_start}")
|
||
print(
|
||
f" Foreword: {'elem ' + str(foreword_pos) if foreword_pos else 'NOT FOUND'}"
|
||
)
|
||
print(
|
||
f" Introduction: {'elem ' + str(introduction_pos) if introduction_pos else 'NOT FOUND'}"
|
||
)
|
||
print(
|
||
f" Part 1 start: {'elem ' + str(first_part1_pos) if first_part1_pos else 'NOT FOUND'}"
|
||
)
|
||
print(
|
||
f" Part 2 start: {'elem ' + str(part2_pos) if part2_pos else 'NOT FOUND'}"
|
||
)
|
||
print(
|
||
f" Part 3 start: {'elem ' + str(part3_pos) if part3_pos else 'NOT FOUND'}"
|
||
)
|
||
print(
|
||
f" Part 4 start: {'elem ' + str(part4_pos) if part4_pos else 'NOT FOUND'}"
|
||
)
|
||
print(f" Book end: elem {sva_end}")
|
||
|
||
# Step 4: Extract intro segments
|
||
|
||
# Front pages: from book header to Foreword bookmark
|
||
front_pages_start = sva_start
|
||
front_pages_end = (
|
||
foreword_pos
|
||
if foreword_pos
|
||
else (introduction_pos or first_part1_pos or sva_end)
|
||
)
|
||
fp_paras = extract_paragraphs(all_elements, front_pages_start, front_pages_end)
|
||
front_pages = {
|
||
"slug": "front-pages",
|
||
"title": "Front Pages",
|
||
"type": "intro-segment",
|
||
"book": "sva",
|
||
"order": 1,
|
||
"paragraphs": fp_paras,
|
||
}
|
||
|
||
# Foreword: from Foreword bookmark to Introduction bookmark
|
||
foreword = None
|
||
if foreword_pos is not None:
|
||
fw_start = foreword_pos + 1
|
||
fw_end = introduction_pos if introduction_pos else (first_part1_pos or sva_end)
|
||
fw_paras = extract_paragraphs(all_elements, fw_start, fw_end)
|
||
foreword = {
|
||
"slug": "foreword",
|
||
"title": "Foreword",
|
||
"type": "intro-segment",
|
||
"book": "sva",
|
||
"order": 2,
|
||
"paragraphs": fw_paras,
|
||
}
|
||
|
||
# Introduction: from Introduction bookmark to Part 1 start
|
||
introduction = None
|
||
if introduction_pos is not None:
|
||
intro_start = introduction_pos + 1
|
||
intro_end = first_part1_pos if first_part1_pos else (part2_pos or sva_end)
|
||
intro_paras = extract_paragraphs(all_elements, intro_start, intro_end)
|
||
introduction = {
|
||
"slug": "introduction",
|
||
"title": "Introduction",
|
||
"type": "intro-segment",
|
||
"book": "sva",
|
||
"order": 3,
|
||
"paragraphs": intro_paras,
|
||
}
|
||
|
||
# Step 5: Extract chapters (Parts 1–4)
|
||
chapter_boundaries = []
|
||
|
||
if first_part1_pos is not None:
|
||
ch1_end = part2_pos if part2_pos else sva_end
|
||
chapter_boundaries.append((1, "Prayers and Praṇāmas", first_part1_pos, ch1_end))
|
||
|
||
if part2_pos is not None:
|
||
ch2_end = part3_pos if part3_pos else sva_end
|
||
chapter_boundaries.append(
|
||
(2, "Songs of Śrīla Bhaktivinoda Ṭhākura", part2_pos, ch2_end)
|
||
)
|
||
|
||
if part3_pos is not None:
|
||
ch3_end = part4_pos if part4_pos else sva_end
|
||
chapter_boundaries.append(
|
||
(3, "Songs of Śrīla Narottama dāsa Ṭhākura", part3_pos, ch3_end)
|
||
)
|
||
|
||
if part4_pos is not None:
|
||
chapter_boundaries.append((4, "Songs by other Ācāryas", part4_pos, sva_end))
|
||
|
||
chapters = []
|
||
for ch_num, ch_title, ch_start, ch_end in chapter_boundaries:
|
||
# Start extraction from the element after the p13 bookmark (for parts 2-4)
|
||
# or from the p49 bookmark itself for part 1
|
||
content_start = ch_start
|
||
if ch_num >= 2:
|
||
# For parts 2-4, skip the p13 bookmark and the p31 heading that follows
|
||
content_start = ch_start + 1
|
||
|
||
paragraphs = extract_paragraphs(all_elements, content_start, ch_end)
|
||
|
||
ch = {
|
||
"book": "sva",
|
||
"chapter": ch_num,
|
||
"title": ch_title,
|
||
"type": "chapter",
|
||
"paragraphs": paragraphs,
|
||
}
|
||
chapters.append(ch)
|
||
|
||
# Step 6: Build results
|
||
intro_segments = [front_pages]
|
||
if foreword:
|
||
intro_segments.append(foreword)
|
||
if introduction:
|
||
intro_segments.append(introduction)
|
||
|
||
chapter_listing = [
|
||
{"number": ch["chapter"], "title": ch["title"]} for ch in chapters
|
||
]
|
||
|
||
return {
|
||
"intro_segments": intro_segments,
|
||
"chapters": chapters,
|
||
"chapter_listing": chapter_listing,
|
||
}
|
||
|
||
|
||
# ---------------------------------------------------------------------------
|
||
# Output
|
||
# ---------------------------------------------------------------------------
|
||
|
||
|
||
def write_json(data, filepath):
|
||
"""Write data as formatted JSON to filepath, creating directories as needed."""
|
||
os.makedirs(os.path.dirname(filepath), exist_ok=True)
|
||
with open(filepath, "w", encoding="utf-8") as f:
|
||
json.dump(data, f, ensure_ascii=False, indent=2)
|
||
|
||
|
||
def main():
|
||
base_dir = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
|
||
html_path = os.path.join(base_dir, "public", "html", "other.html")
|
||
output_base = os.path.join(base_dir, "lib", "jsons", "books", "sva")
|
||
|
||
if not os.path.exists(html_path):
|
||
print(f"ERROR: {html_path} not found!")
|
||
sys.exit(1)
|
||
|
||
print(f"Reading {html_path}...")
|
||
with open(html_path, "r", encoding="utf-8") as f:
|
||
soup = BeautifulSoup(f, "html.parser")
|
||
|
||
print("Extracting Songs of the Vaiṣṇava Ācāryas (1972)...\n")
|
||
result = extract_sva(soup)
|
||
|
||
intro_segments = result["intro_segments"]
|
||
chapters = result["chapters"]
|
||
chapter_listing = result["chapter_listing"]
|
||
|
||
# --- Write intro.json ---
|
||
intro_meta = {
|
||
"book": "sva",
|
||
"title": "Songs of the Vaiṣṇava Ācāryas",
|
||
"author": "His Divine Grace A.C. Bhaktivedanta Swami Prabhupāda",
|
||
"year": 1972,
|
||
"description": "Bengali devotional songs by the great Vaiṣṇava teachers, with English translations and commentary.",
|
||
"totalChapters": 4,
|
||
"chapters": chapter_listing,
|
||
}
|
||
intro_path = os.path.join(output_base, "intro.json")
|
||
write_json(intro_meta, intro_path)
|
||
print(f"\n Written: {intro_path}")
|
||
|
||
# --- Write intro segments ---
|
||
print(f"\n--- Intro Segments ---")
|
||
for seg in intro_segments:
|
||
filepath = os.path.join(output_base, "intro", f"{seg['slug']}.json")
|
||
write_json(seg, filepath)
|
||
print(
|
||
f" {seg['order']}. {seg['title']}: {len(seg['paragraphs'])} paragraphs → {filepath}"
|
||
)
|
||
|
||
# --- Write chapters ---
|
||
print(f"\n--- Chapters ---")
|
||
for ch in chapters:
|
||
ch_num_str = str(ch["chapter"]).zfill(2)
|
||
filepath = os.path.join(output_base, "chapters", f"{ch_num_str}.json")
|
||
write_json(ch, filepath)
|
||
print(
|
||
f" Part {ch['chapter']}: {len(ch['paragraphs']):>3} paragraphs — "
|
||
f"{ch['title']}"
|
||
)
|
||
|
||
# --- Summary ---
|
||
total_intro_paras = sum(len(s["paragraphs"]) for s in intro_segments)
|
||
total_chapter_paras = sum(len(ch["paragraphs"]) for ch in chapters)
|
||
total_paras = total_intro_paras + total_chapter_paras
|
||
|
||
print(f"\n{'=' * 60}")
|
||
print(f" EXTRACTION SUMMARY")
|
||
print(f"{'=' * 60}")
|
||
print(f" Intro segments: {len(intro_segments)}")
|
||
for seg in intro_segments:
|
||
print(
|
||
f" {seg['order']}. {seg['title']}: {len(seg['paragraphs'])} paragraphs"
|
||
)
|
||
print(f" Chapters (Parts): {len(chapters)}")
|
||
for ch in chapters:
|
||
print(
|
||
f" Part {ch['chapter']}: {len(ch['paragraphs'])} paragraphs — {ch['title']}"
|
||
)
|
||
print(f" Total paragraphs: {total_paras}")
|
||
print(f" Intro: {total_intro_paras}")
|
||
print(f" Chapters: {total_chapter_paras}")
|
||
if chapters:
|
||
print(f" Avg paras/chapter: {total_chapter_paras / len(chapters):.1f}")
|
||
print(f" Output directory: {output_base}/")
|
||
|
||
# --- Samples ---
|
||
print(f"\n--- Sample: Part 1 (Prayers and Praṇāmas) ---")
|
||
if chapters:
|
||
ch1 = chapters[0]
|
||
for i, p in enumerate(ch1["paragraphs"][:5]):
|
||
preview = re.sub(r"<[^>]+>", "", p)[:120]
|
||
print(f" [{i}] {preview}...")
|
||
|
||
if len(chapters) >= 2:
|
||
print(f"\n--- Sample: Part 2 (Songs of Bhaktivinoda Ṭhākura) ---")
|
||
ch2 = chapters[1]
|
||
for i, p in enumerate(ch2["paragraphs"][:5]):
|
||
preview = re.sub(r"<[^>]+>", "", p)[:120]
|
||
print(f" [{i}] {preview}...")
|
||
|
||
if len(chapters) >= 4:
|
||
print(f"\n--- Sample: Part 4 (Songs by other Ācāryas) ---")
|
||
ch4 = chapters[3]
|
||
for i, p in enumerate(ch4["paragraphs"][:5]):
|
||
preview = re.sub(r"<[^>]+>", "", p)[:120]
|
||
print(f" [{i}] {preview}...")
|
||
|
||
# --- Quality Checks ---
|
||
print(f"\n--- Quality Checks ---")
|
||
|
||
# Check all 4 parts present
|
||
expected_chapters = set(range(1, 5))
|
||
actual_chapters = set(ch["chapter"] for ch in chapters)
|
||
missing = expected_chapters - actual_chapters
|
||
extra = actual_chapters - expected_chapters
|
||
if missing:
|
||
print(f" ⚠ Missing parts: {sorted(missing)}")
|
||
if extra:
|
||
print(f" ⚠ Extra parts: {sorted(extra)}")
|
||
if not missing and not extra:
|
||
print(f" ✅ All 4 parts present")
|
||
|
||
# Check intro segments
|
||
expected_intros = {"front-pages", "foreword", "introduction"}
|
||
actual_intros = {s["slug"] for s in intro_segments}
|
||
missing_intros = expected_intros - actual_intros
|
||
if missing_intros:
|
||
print(f" ⚠ Missing intro segments: {missing_intros}")
|
||
else:
|
||
print(f" ✅ All 3 intro segments present")
|
||
|
||
# Check empty chapters
|
||
empty_chapters = [ch["chapter"] for ch in chapters if len(ch["paragraphs"]) == 0]
|
||
if empty_chapters:
|
||
print(f" ⚠ Empty parts (0 paragraphs): {empty_chapters}")
|
||
else:
|
||
print(f" ✅ No empty parts")
|
||
|
||
# Check ScaGoudy decoding
|
||
encoded_chars = set("äåöëòçüéàùè")
|
||
suspect_count = 0
|
||
all_sections = chapters + intro_segments
|
||
for section in all_sections:
|
||
for p in section["paragraphs"]:
|
||
plain = re.sub(r"<[^>]+>", "", p)
|
||
for c in encoded_chars:
|
||
if c in plain:
|
||
suspect_count += 1
|
||
break
|
||
if suspect_count == 0:
|
||
print(f" ✅ No suspected undecoded ScaGoudy characters found")
|
||
else:
|
||
print(
|
||
f" ℹ {suspect_count} paragraphs contain characters that may be undecoded ScaGoudy"
|
||
)
|
||
|
||
# Check verse blocks
|
||
verse_block_count = 0
|
||
for ch in chapters:
|
||
for p in ch["paragraphs"]:
|
||
if '<div style="text-align:center"><i>' in p:
|
||
verse_block_count += 1
|
||
print(f" ℹ {verse_block_count} verse blocks in chapters")
|
||
|
||
# Check table-derived content
|
||
table_verse_count = 0
|
||
for ch in chapters:
|
||
for p in ch["paragraphs"]:
|
||
if '<div style="text-align:center"><i>' in p and "<br>" in p:
|
||
table_verse_count += 1
|
||
print(f" ℹ {table_verse_count} multi-line verse blocks (likely from tables)")
|
||
|
||
# ScaGoudy decoding spot check
|
||
print(f"\n--- ScaGoudy Decoding Spot Check ---")
|
||
if intro_segments:
|
||
fw_segs = [s for s in intro_segments if s["slug"] == "foreword"]
|
||
if fw_segs:
|
||
fw_text = " ".join(fw_segs[0]["paragraphs"][:10])
|
||
if "Prabhupāda" in fw_text:
|
||
print(f" ✅ 'Prabhupāda' correctly decoded in Foreword")
|
||
elif "Prabhupäda" in fw_text:
|
||
print(f" ⚠ ScaGoudy decoding incomplete for 'Prabhupäda'")
|
||
if "Kṛṣṇa" in fw_text:
|
||
print(f" ✅ 'Kṛṣṇa' correctly decoded in Foreword")
|
||
elif "Kåñëa" in fw_text:
|
||
print(f" ⚠ 'Kåñëa' still encoded in Foreword")
|
||
|
||
# Sample verse blocks
|
||
print(f"\n--- Sample Verse Blocks ---")
|
||
shown = 0
|
||
for ch in chapters:
|
||
for p in ch["paragraphs"]:
|
||
if '<div style="text-align:center"><i>' in p:
|
||
preview = re.sub(r"<[^>]+>", "", p)[:120]
|
||
print(f" Part {ch['chapter']}: {preview}...")
|
||
shown += 1
|
||
if shown >= 5:
|
||
break
|
||
if shown >= 5:
|
||
break
|
||
|
||
# Song title check
|
||
print(f"\n--- Song Titles in Chapters ---")
|
||
song_count = 0
|
||
sample_songs = []
|
||
for ch in chapters:
|
||
ch_songs = 0
|
||
for p in ch["paragraphs"]:
|
||
# Bold italic song titles
|
||
if "<b><i>" in p and "</i></b>" in p:
|
||
plain = re.sub(r"<[^>]+>", "", p).strip()
|
||
if len(plain) < 100:
|
||
ch_songs += 1
|
||
if len(sample_songs) < 8:
|
||
sample_songs.append(f" Part {ch['chapter']}: {plain}")
|
||
song_count += ch_songs
|
||
print(f" Part {ch['chapter']}: ~{ch_songs} song titles")
|
||
print(f" Total song titles: ~{song_count}")
|
||
for s in sample_songs:
|
||
print(s)
|
||
|
||
print(f"\nDone! ✨")
|
||
|
||
|
||
if __name__ == "__main__":
|
||
main()
|