715 lines
23 KiB
Python
715 lines
23 KiB
Python
#!/usr/bin/env python3
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"""Extract The Perfection of Yoga (1972) from other.html.
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The book has 1 intro segment (front-pages) and 11 chapters.
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Chapters come from TWO bookmark prefixes:
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- PoY 1–8: "The Perfection of Yoga" chapters
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- TYS 4–6: "The Topmost Yoga System" bonus chapters (renumbered 9–11)
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Output:
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lib/jsons/books/poy/intro.json — Book metadata
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lib/jsons/books/poy/intro/*.json — Intro segments
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lib/jsons/books/poy/chapters/*.json — Chapters
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Usage:
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python3 scripts/poy_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, 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 (but preserve <br> tags)
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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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# ---------------------------------------------------------------------------
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# CSS class categorization for POY
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# ---------------------------------------------------------------------------
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# Book title header class (p85 for POY)
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BOOK_HEADER_CLASS = "p85"
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# Chapter bookmark class
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CHAPTER_BOOKMARK_CLASS = "p13"
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# Body paragraph classes (primary content)
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BODY_CLASSES = frozenset(["p6"])
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# Sanskrit verse pāda classes (italic, centered)
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VERSE_PADA_CLASSES = frozenset(["p53"])
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# Bold quote paragraphs — include as body
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BOLD_QUOTE_CLASSES = frozenset(["p56"])
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# Verse translations / body text
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TRANSLATION_CLASS = "p44"
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# Chapter heading (bold)
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CHAPTER_HEADING_CLASS = "p27"
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# Title page text
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TITLE_PAGE_CLASS = "p3"
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# Contents heading class
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CONTENTS_CLASS = "p69"
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# Misc classes to include as body
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MISC_BODY_CLASSES = frozenset(["p90", "p91"])
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# Classes to skip entirely (empty/decorative)
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SKIP_CLASSES = frozenset(["p9", "p15", "p25", "p70"])
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# ---------------------------------------------------------------------------
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# Chapter title mapping (ScaGoudy → proper IAST)
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# ---------------------------------------------------------------------------
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CHAPTER_TITLES = {
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1: "Yoga as Reestablishing Relations with Kṛṣṇa",
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2: "Yoga as Work in Devotion",
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3: "Yoga as Meditation on Kṛṣṇa",
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4: "Yoga as Rejected by Arjuna",
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5: "Yoga as Body and Mind Control",
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6: "Yoga as Freedom from Duality and Designation",
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7: "The Fate of the Unsuccessful Yogī",
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8: "The Perfection of Yoga",
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9: "The Hare Kṛṣṇa Mantra",
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10: "How Bhakti-yoga Works",
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11: "Sources of Absolute Knowledge",
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}
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# ---------------------------------------------------------------------------
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# Extraction helpers
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# ---------------------------------------------------------------------------
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def find_poy_boundaries(all_paragraphs: list) -> tuple:
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"""Find the start and end paragraph indices of the POY content.
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Start: <p class="p85"> containing "Perfection of Yoga" and "1972"
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End: next <p class="p85"> after start, or end of document
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"""
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start_idx = None
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end_idx = len(all_paragraphs)
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for i, p in enumerate(all_paragraphs):
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cls = get_css_class(p)
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if cls != BOOK_HEADER_CLASS:
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continue
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text = decode_text(p)
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if "Perfection of Yoga" in text and "1972" in text:
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start_idx = i
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elif start_idx is not None:
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# Next p85 after POY start = end of POY
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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(
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"ERROR: Could not find 'The Perfection of Yoga (1972)' header in other.html!"
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)
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sys.exit(1)
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return start_idx, end_idx
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def find_glossary_boundary(all_paragraphs: list, start_idx: int, end_idx: int) -> int:
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"""Find the Glossary heading within POY range.
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Returns the paragraph index of the Glossary heading, or end_idx if not found.
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"""
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for i in range(start_idx, end_idx):
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p = all_paragraphs[i]
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cls = get_css_class(p)
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if cls == CHAPTER_HEADING_CLASS:
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text = p.get_text().strip()
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if "Glossary" in text:
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return i
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return end_idx
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def find_chapter_bookmarks(all_paragraphs: list, start_idx: int, end_idx: int) -> list:
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"""Find all POY + TYS chapter bookmark tags (p13) in the POY range.
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Parses both "PoY N:" and "TYS N:" patterns.
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TYS 4→ch9, TYS 5→ch10, TYS 6→ch11.
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Returns list of (paragraph_index, sequential_chapter_number, chapter_title).
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"""
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bookmarks = []
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seq_counter = 0
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for i in range(start_idx, end_idx):
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p = all_paragraphs[i]
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cls = get_css_class(p)
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if cls != CHAPTER_BOOKMARK_CLASS:
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continue
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text = decode_text(p)
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m = re.match(r"(?:PoY|TYS)\s+(\d+):\s+(.+)", text.strip())
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if m:
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seq_counter += 1
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ch_title_raw = m.group(2).strip()
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# Use our pre-defined proper IAST titles
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ch_title = CHAPTER_TITLES.get(seq_counter, ch_title_raw)
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bookmarks.append((i, seq_counter, ch_title))
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return bookmarks
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def extract_paragraphs(
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all_paragraphs: list,
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start_idx: int,
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end_idx: int,
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is_front_pages: bool = False,
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) -> list:
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"""Extract paragraphs for a section (chapter or intro segment).
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Handles all CSS classes within the POY content.
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Groups consecutive p53 verse pādas into centered italic divs.
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"""
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result = []
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verse_accumulator = []
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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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p = all_paragraphs[i]
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cls = get_css_class(p)
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# Skip empty paragraphs
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if is_empty(p):
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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)
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if cls == CHAPTER_BOOKMARK_CLASS:
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continue
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# Skip book title header (p85)
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if cls == BOOK_HEADER_CLASS:
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continue
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# Check for dash lines — skip them
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text = decode_text(p)
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if is_dash_line(text):
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continue
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# Sanskrit verse pādas (p53) — accumulate into centered block
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if cls in VERSE_PADA_CLASSES:
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html = decode_html_content(p)
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if html:
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# Remove inner <i> tags before re-wrapping
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stripped = re.sub(r"</?i>", "", html)
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verse_accumulator.append(stripped)
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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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# Chapter heading (p27) — include as paragraph
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if cls == CHAPTER_HEADING_CLASS:
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html = decode_html_content(p)
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if html:
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result.append(html)
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continue
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# Title page text (p3) — include
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if cls == TITLE_PAGE_CLASS:
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html = decode_html_content(p)
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if html:
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result.append(html)
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continue
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# Contents heading (p69) — include in front-pages
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if cls == CONTENTS_CLASS:
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html = decode_html_content(p)
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if html:
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result.append(html)
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continue
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# Bold quote paragraphs (p56) — include as body
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if cls in BOLD_QUOTE_CLASSES:
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html = decode_html_content(p)
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if html:
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result.append(html)
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continue
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# Verse translation / body text (p44)
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if cls == TRANSLATION_CLASS:
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html = decode_html_content(p)
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if html:
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result.append(html)
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continue
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# Body paragraphs (p6)
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if cls in BODY_CLASSES:
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html = decode_html_content(p)
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if html:
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# Detect Sanskrit verses disguised as body paragraphs:
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# they start with <i> and contain <br> (multi-line italic = verse)
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stripped_html = html.strip()
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if stripped_html.startswith("<i>") and "<br" in stripped_html:
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# This is a verse — wrap in centered italic div
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inner = re.sub(r"</?i>", "", stripped_html)
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result.append(
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f'<div style="text-align:center"><i>{inner}</i></div>'
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)
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else:
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result.append(html)
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continue
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# Misc body classes (p90, p91)
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if cls in MISC_BODY_CLASSES:
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html = decode_html_content(p)
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if html:
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result.append(html)
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continue
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# Any other class — try to extract content (be permissive)
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html = decode_html_content(p)
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if html and not is_dash_line(text):
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result.append(html)
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# Flush any trailing verse
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flush_verse()
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return result
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# ---------------------------------------------------------------------------
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# Main extraction logic
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# ---------------------------------------------------------------------------
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def extract_poy(soup: BeautifulSoup) -> dict:
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"""Extract the entire Perfection of Yoga (1972) from the parsed HTML.
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Returns a dict with:
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"intro_segments": list of intro segment dicts
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"chapters": list of chapter dicts
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"chapter_listing": list of {number, title} for intro.json
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"""
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all_paragraphs = list(soup.find_all("p"))
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# Step 1: Find POY boundaries
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poy_start, poy_end = find_poy_boundaries(all_paragraphs)
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print(f" POY content: paragraphs {poy_start} to {poy_end}")
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print(f" Total paragraphs in range: {poy_end - poy_start}")
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# Step 2: Find Glossary boundary — everything from Glossary onward is excluded
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glossary_idx = find_glossary_boundary(all_paragraphs, poy_start, poy_end)
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if glossary_idx < poy_end:
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print(f" Glossary found at paragraph {glossary_idx} — trimming end boundary")
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poy_end = glossary_idx
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else:
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print(f" No Glossary heading found — using full range")
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print(f" Effective content range: paragraphs {poy_start} to {poy_end}")
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# Step 3: Find all chapter bookmarks (PoY 1-8, TYS 4-6)
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chapter_bookmarks = find_chapter_bookmarks(all_paragraphs, poy_start, poy_end)
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print(f" Found {len(chapter_bookmarks)} chapter bookmarks")
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for pos, ch_num, ch_title in chapter_bookmarks:
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print(f" [chapter {ch_num}] paragraph {pos}: {ch_title}")
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# Step 4: Extract front pages
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# From book start (poy_start) to first chapter bookmark
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intro_segments = []
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if chapter_bookmarks:
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front_pages_end = chapter_bookmarks[0][0]
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else:
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front_pages_end = poy_end
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front_pages_paragraphs = extract_paragraphs(
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all_paragraphs, poy_start, front_pages_end, is_front_pages=True
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)
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intro_segments.append(
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{
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"slug": "front-pages",
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"title": "Front Pages",
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"type": "intro-segment",
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"book": "poy",
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"order": 1,
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"paragraphs": front_pages_paragraphs,
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}
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)
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# Step 5: Extract chapters
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chapters = []
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for idx, (ch_pos, ch_num, ch_title) in enumerate(chapter_bookmarks):
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content_start = ch_pos + 1
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# Content ends at next chapter bookmark or poy_end
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if idx + 1 < len(chapter_bookmarks):
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content_end = chapter_bookmarks[idx + 1][0]
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else:
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content_end = poy_end
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paragraphs = extract_paragraphs(all_paragraphs, content_start, content_end)
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ch = {
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"book": "poy",
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"chapter": ch_num,
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"title": ch_title,
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"type": "chapter",
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"paragraphs": paragraphs,
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}
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chapters.append(ch)
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# Step 6: Build chapter listing for intro.json
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chapter_listing = [
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{"number": ch["chapter"], "title": ch["title"]} for ch in chapters
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]
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return {
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"intro_segments": intro_segments,
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"chapters": chapters,
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"chapter_listing": chapter_listing,
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}
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# ---------------------------------------------------------------------------
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# Output
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# ---------------------------------------------------------------------------
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def write_json(data, filepath):
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"""Write data as formatted JSON to filepath, creating directories as needed."""
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os.makedirs(os.path.dirname(filepath), exist_ok=True)
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with open(filepath, "w", encoding="utf-8") as f:
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json.dump(data, f, ensure_ascii=False, indent=2)
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def main():
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base_dir = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
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html_path = os.path.join(base_dir, "public", "html", "other.html")
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output_base = os.path.join(base_dir, "lib", "jsons", "books", "poy")
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if not os.path.exists(html_path):
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print(f"ERROR: {html_path} not found!")
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sys.exit(1)
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print(f"Reading {html_path}...")
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with open(html_path, "r", encoding="utf-8") as f:
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soup = BeautifulSoup(f, "html.parser")
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print("Extracting The Perfection of Yoga (1972)...\n")
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result = extract_poy(soup)
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intro_segments = result["intro_segments"]
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chapters = result["chapters"]
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chapter_listing = result["chapter_listing"]
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# --- Write intro.json ---
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intro_meta = {
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"book": "poy",
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"title": "The Perfection of Yoga",
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"author": "His Divine Grace A.C. Bhaktivedanta Swami Prabhupāda",
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"year": 1972,
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"description": "The complete science of yoga as taught by Lord Kṛṣṇa in the Bhagavad-gītā.",
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"totalChapters": 11,
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"chapters": chapter_listing,
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}
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intro_path = os.path.join(output_base, "intro.json")
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write_json(intro_meta, intro_path)
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print(f"\n Written: {intro_path}")
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# --- Write intro segments ---
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print(f"\n--- Intro Segments ---")
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for seg in intro_segments:
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filepath = os.path.join(output_base, "intro", f"{seg['slug']}.json")
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write_json(seg, filepath)
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print(
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f" {seg['order']}. {seg['title']}: {len(seg['paragraphs'])} paragraphs → {filepath}"
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)
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# --- Write chapters ---
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print(f"\n--- Chapters ---")
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for ch in chapters:
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ch_num_str = str(ch["chapter"]).zfill(2)
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filepath = os.path.join(output_base, "chapters", f"{ch_num_str}.json")
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write_json(ch, filepath)
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print(
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f" Ch {ch['chapter']:>2}: {len(ch['paragraphs']):>3} paragraphs — "
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f"{ch['title']}"
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)
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# --- Summary ---
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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)}")
|
||
print(f" Chapters: {len(chapters)}")
|
||
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: Front Pages ---")
|
||
if intro_segments:
|
||
front = intro_segments[0]
|
||
for i, p in enumerate(front["paragraphs"][:5]):
|
||
preview = re.sub(r"<[^>]+>", "", p)[:100]
|
||
print(f" [{i}] {preview}...")
|
||
|
||
if chapters:
|
||
print(f"\n--- Sample: Chapter 1 ({chapters[0]['title']}) ---")
|
||
ch1 = chapters[0]
|
||
for i, p in enumerate(ch1["paragraphs"][:5]):
|
||
preview = re.sub(r"<[^>]+>", "", p)[:100]
|
||
print(f" [{i}] {preview}...")
|
||
|
||
if chapters and len(chapters) > 1:
|
||
print(
|
||
f"\n--- Sample: Chapter {chapters[-1]['chapter']} ({chapters[-1]['title']}) ---"
|
||
)
|
||
last = chapters[-1]
|
||
for i, p in enumerate(last["paragraphs"][:5]):
|
||
preview = re.sub(r"<[^>]+>", "", p)[:100]
|
||
print(f" [{i}] {preview}...")
|
||
|
||
# --- Quality Checks ---
|
||
print(f"\n--- Quality Checks ---")
|
||
|
||
# Check all 11 chapters present
|
||
expected_chapters = set(range(1, 12))
|
||
actual_chapters = set(ch["chapter"] for ch in chapters)
|
||
missing = expected_chapters - actual_chapters
|
||
extra = actual_chapters - expected_chapters
|
||
if missing:
|
||
print(f" ⚠ Missing chapters: {sorted(missing)}")
|
||
if extra:
|
||
print(f" ⚠ Extra chapters: {sorted(extra)}")
|
||
if not missing and not extra:
|
||
print(f" ✅ All 11 chapters present")
|
||
|
||
# Check all 1 intro segment present
|
||
expected_intros = {"front-pages"}
|
||
actual_intros = {s["slug"] for s in intro_segments}
|
||
missing_intros = expected_intros - actual_intros
|
||
extra_intros = actual_intros - expected_intros
|
||
if missing_intros:
|
||
print(f" ⚠ Missing intro segments: {missing_intros}")
|
||
if extra_intros:
|
||
print(f" ⚠ Extra intro segments: {extra_intros}")
|
||
if not missing_intros and not extra_intros:
|
||
print(f" ✅ All 1 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 chapters (0 paragraphs): {empty_chapters}")
|
||
else:
|
||
print(f" ✅ No empty chapters")
|
||
|
||
# Check empty intro segments
|
||
empty_intros = [s["slug"] for s in intro_segments if len(s["paragraphs"]) == 0]
|
||
if empty_intros:
|
||
print(f" ⚠ Empty intro segments: {empty_intros}")
|
||
else:
|
||
print(f" ✅ No empty intro segments")
|
||
|
||
# Check ScaGoudy decoding
|
||
print(f"\n--- ScaGoudy Decoding Check ---")
|
||
all_text = ""
|
||
for ch in chapters:
|
||
all_text += " ".join(ch["paragraphs"][:20])
|
||
for seg in intro_segments:
|
||
all_text += " ".join(seg["paragraphs"][:10])
|
||
|
||
# Check for properly decoded words
|
||
if "Kṛṣṇa" in all_text:
|
||
print(f" ✅ 'Kṛṣṇa' found (ScaGoudy properly decoded)")
|
||
else:
|
||
print(f" ⚠ 'Kṛṣṇa' not found — ScaGoudy decoding may have failed")
|
||
|
||
if "Bhagavad-gītā" in all_text:
|
||
print(f" ✅ 'Bhagavad-gītā' found (ScaGoudy properly decoded)")
|
||
elif "gītā" in all_text or "Gītā" in all_text:
|
||
print(f" ✅ 'gītā' found (ScaGoudy properly decoded)")
|
||
else:
|
||
print(f" ⚠ 'Gītā' not found — ScaGoudy decoding may have failed")
|
||
|
||
if "Prabhupāda" in all_text:
|
||
print(f" ✅ 'Prabhupāda' found (ScaGoudy properly decoded)")
|
||
|
||
# Check for un-decoded ScaGoudy remnants (common encoded chars)
|
||
scagoudy_remnants = 0
|
||
for ch in chapters:
|
||
for p in ch["paragraphs"]:
|
||
if "Kåñëa" in p or "Prabhupäda" in p:
|
||
scagoudy_remnants += 1
|
||
for seg in intro_segments:
|
||
for p in seg["paragraphs"]:
|
||
if "Kåñëa" in p or "Prabhupäda" in p:
|
||
scagoudy_remnants += 1
|
||
if scagoudy_remnants == 0:
|
||
print(f" ✅ No ScaGoudy remnants detected")
|
||
else:
|
||
print(f" ⚠ {scagoudy_remnants} paragraphs with ScaGoudy remnants")
|
||
|
||
# Check for centered 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
|
||
if verse_block_count > 0:
|
||
print(f" ✅ {verse_block_count} centered Sanskrit verse blocks found")
|
||
else:
|
||
print(f" ⚠ No centered verse blocks found — verse grouping may have failed")
|
||
|
||
# Check for residual span tags
|
||
span_count = 0
|
||
for ch in chapters:
|
||
for p in ch["paragraphs"]:
|
||
if 'class="' in p and "<span" in p:
|
||
span_count += 1
|
||
for seg in intro_segments:
|
||
for p in seg["paragraphs"]:
|
||
if 'class="' in p and "<span" in p:
|
||
span_count += 1
|
||
if span_count == 0:
|
||
print(f" ✅ No residual span class artifacts found")
|
||
else:
|
||
print(f" ⚠ {span_count} paragraphs still contain span class artifacts")
|
||
|
||
# Check for dash-line paragraphs that shouldn't be there
|
||
dash_count = 0
|
||
for ch in chapters:
|
||
for p in ch["paragraphs"]:
|
||
plain = re.sub(r"<[^>]+>", "", p)
|
||
if is_dash_line(plain):
|
||
dash_count += 1
|
||
for seg in intro_segments:
|
||
for p in seg["paragraphs"]:
|
||
plain = re.sub(r"<[^>]+>", "", p)
|
||
if is_dash_line(plain):
|
||
dash_count += 1
|
||
if dash_count == 0:
|
||
print(f" ✅ No dashed-line paragraphs in output")
|
||
else:
|
||
print(f" ⚠ {dash_count} dashed-line paragraphs found in output")
|
||
|
||
# Show a verse block sample
|
||
print(f"\n--- Sample: Verse Block ---")
|
||
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" {preview}...")
|
||
break
|
||
else:
|
||
continue
|
||
break
|
||
|
||
# Chapter title decoding check
|
||
print(f"\n--- Chapter Title Decoding Check ---")
|
||
for ch in chapters:
|
||
title = ch["title"]
|
||
if "å" in title or "ë" in title or "ñ" in title or "ä" in title:
|
||
print(f" ⚠ Chapter {ch['chapter']} title has un-decoded ScaGoudy: {title}")
|
||
else:
|
||
print(f" ✅ Ch {ch['chapter']}: {title}")
|
||
|
||
print(f"\nDone! ✨")
|
||
|
||
|
||
if __name__ == "__main__":
|
||
main()
|