816 lines
27 KiB
Python
816 lines
27 KiB
Python
#!/usr/bin/env python3
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"""Extract Śrī Brahma-saṁhitā verses from other.html into structured JSON files."""
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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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from indic_transliteration import sanscript
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from indic_transliteration.sanscript import transliterate
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# --- ScaGoudy → IAST Unicode mapping ---
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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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# --- Text number to title mapping ---
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TEXT_TITLES = {n: f"Text {n}" for n in range(1, 63)}
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# --- CSS class constants ---
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BOOK_HEADER_CLASS = "p12"
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VERSE_BOOKMARK_CLASS = "p49"
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VERSE_HEADING_CLASS = "p50"
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TEXT_LABEL_CLASS = "p52"
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PADA_TRANSLIT_CLASS = "p5"
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PADA_TRANSLIT_CONT_CLASS = "p66"
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SYNONYMS_HEADER_CLASS = "p165"
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SYNONYM_TEXT_CLASS = "p54"
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TRANSLATION_LABEL_CLASS = "p55"
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TRANSLATION_TEXT_CLASS = "p56"
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PURPORT_LABEL_CLASS_ALT = "p57"
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PURPORT_BODY_CLASS = "p48"
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CROSS_REF_CLASS = "p58"
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QUOTED_VERSE_CLASS = "p53"
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COMMENTATOR_CLASS = "p44"
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SECTION_HEADING_CLASS = "p31"
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INTRO_BODY_CLASS = "p18"
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FOREWORD_BODY_CLASS = "p6"
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SIGNATURE_CLASS = "p164"
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END_MARKER_CLASS = "p166"
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def decode_scagoudy(text: str) -> str:
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"""Convert ScaGoudy-encoded text to 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 (artifacts from RTF conversion)
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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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"""Extract plain text from a tag and decode ScaGoudy."""
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text = tag.get_text()
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return decode_scagoudy(text).strip()
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def normalize_devanagari_anusvara(text: str) -> str:
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"""Replace explicit class nasals before same-class consonants with anusvāra.
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Only normalize ङ् and ञ् — these are almost always written with anusvāra.
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Keep ण्ड, न्त, म्ब etc. as explicit conjuncts (standard spelling).
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"""
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replacements = [
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# ङ् before velars (क, ख, ग, घ)
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(r"ङ्([कखगघ])", r"ं\1"),
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# ञ् before palatals (च, छ, ज, झ)
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(r"ञ्([चछजझ])", r"ं\1"),
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]
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for pattern, repl in replacements:
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text = re.sub(pattern, repl, text)
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return text
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def join_virama_words(text: str) -> str:
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"""Join Devanagari words where the previous word ends with virāma (्).
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Handles both virāma+consonant and virāma+vowel cases.
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Uses [ \\t]+ instead of \\s+ to avoid joining across newlines.
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"""
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# Join virāma + space + consonant (क U+0915 through ह U+0939)
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text = re.sub(r"्[ \t]+([क-ह])", r"्\1", text)
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# Join virāma + space + independent vowel
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_VOWEL_TO_MATRA = {
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"अ": "", # inherent vowel — just drop virāma and the अ
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"आ": "ा",
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"इ": "ि",
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"ई": "ी",
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"उ": "ु",
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"ऊ": "ू",
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"ऋ": "ृ",
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"ॠ": "ॄ",
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"ऌ": "ॢ",
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"ॡ": "ॣ",
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"ए": "े",
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"ऐ": "ै",
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"ओ": "ो",
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"औ": "ौ",
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}
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def _virama_vowel_replace(m: re.Match[str]) -> str:
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vowel = m.group(1)
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return _VOWEL_TO_MATRA.get(vowel, vowel)
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text = re.sub(r"्[ \t]+([अ-औॠॡ])", _virama_vowel_replace, text)
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return text
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def iast_to_devanagari(iast_text: str) -> str:
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"""Convert IAST transliteration to Devanagari script."""
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lines = iast_text.split("\n")
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result_lines = []
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for line in lines:
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# Remove hyphens between words for Devanagari
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clean = line.replace("-", "")
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# Normalize ṁ (U+1E41) to ṃ (U+1E43) for proper anusvāra
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clean = clean.replace("ṁ", "ṃ")
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deva = transliterate(clean, sanscript.IAST, sanscript.DEVANAGARI)
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deva = normalize_devanagari_anusvara(deva)
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deva = join_virama_words(deva)
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result_lines.append(deva)
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return "\n".join(result_lines)
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def parse_synonyms(text: str) -> list:
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"""Parse synonym text into structured array.
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Input format: "word—meaning; word—meaning; word—meaning"
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"""
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result = []
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entries = text.split(";")
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for entry in entries:
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entry = entry.strip()
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if not entry:
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continue
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if "—" in entry:
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parts = entry.split("—", 1)
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elif "--" in entry:
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parts = entry.split("--", 1)
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else:
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continue
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if len(parts) == 2:
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word = parts[0].strip()
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meaning = parts[1].strip()
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# Clean word: remove trailing/leading punctuation
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word = word.strip("., ")
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if word and meaning:
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result.append({"word": word, "meanings": [meaning]})
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return result
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def pair_padas(padas: list) -> str:
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"""Combine pādas into 2-line verse format.
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If the number of pādas is odd, the first one is treated as a
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standalone line (e.g. speaker attribution like 'uvāca').
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Empty strings in the list act as stanza-break sentinels and are
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rendered as blank lines in the output.
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"""
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if not padas:
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return ""
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# Split pādas into stanza groups separated by "" sentinels
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groups: list[list[str]] = [[]]
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for p in padas:
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if p == "":
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groups.append([])
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else:
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groups[-1].append(p)
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result_lines = []
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for group in groups:
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if not group:
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continue
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lines = []
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i = 0
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# If odd number of pādas, first one is standalone (speaker attribution)
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if len(group) % 2 == 1:
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lines.append(group[0])
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i = 1
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# Pair remaining pādas
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while i < len(group) - 1:
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lines.append(group[i] + " " + group[i + 1])
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i += 2
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# Handle any trailing single pāda
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if i < len(group):
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lines.append(group[i])
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result_lines.append("\n".join(lines))
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return "\n\n".join(result_lines)
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def get_css_class(tag: Tag) -> str:
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"""Get the primary CSS class of a tag."""
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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 write_json(data, filepath):
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"""Write JSON with proper Unicode and formatting."""
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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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print(f" Written: {filepath}")
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# ---------------------------------------------------------------------------
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# Boundary detection
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# ---------------------------------------------------------------------------
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def find_bs_boundaries(all_paragraphs: list) -> tuple[int, int]:
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"""Find the start and end paragraph indices of the Brahma-saṁhitā content.
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Start: <p class="p12"> containing "Brahma-sa" (ScaGoudy encoded)
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End: next <p class="p166"> after start (start of next book)
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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 and start_idx is None:
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text = p.get_text().strip()
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# ScaGoudy-encoded: "Çré Brahma-saàhitä"
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if "Brahma-sa" in text:
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start_idx = i
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continue
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if start_idx is not None and cls == END_MARKER_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 'Śrī Brahma-saṁhitā' header in other.html!")
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sys.exit(1)
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return start_idx, end_idx
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def parse_verse_bookmark(text: str) -> int | None:
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"""Parse a verse bookmark like 'Bs 5.N'.
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Returns text number (1-62), or None.
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"""
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text = text.strip()
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m = re.match(r"Bs\s+5\.(\d+)", text)
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if m:
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return int(m.group(1))
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return None
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# ---------------------------------------------------------------------------
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# Section boundary detection within BS range
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# ---------------------------------------------------------------------------
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def find_section_boundaries(all_paragraphs: list, start_idx: int, end_idx: int) -> dict:
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"""Find key section boundaries within the BS content.
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Returns dict with section names and their start indices.
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"""
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sections = {}
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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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text = p.get_text().strip()
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# Introduction bookmark
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if cls == VERSE_BOOKMARK_CLASS and "Bs Introduction" in text:
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sections["introduction_bookmark"] = i
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# Foreword bookmark
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elif cls == VERSE_BOOKMARK_CLASS and "Bs Foreword" in text:
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sections["foreword_bookmark"] = i
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# First verse bookmark (Bs 5.1)
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elif cls == VERSE_BOOKMARK_CLASS and parse_verse_bookmark(decode_text(p)) == 1:
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sections["first_verse"] = i
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break
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# Find the chapter heading (p31 with "Chapter Five")
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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 == SECTION_HEADING_CLASS:
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text = p.get_text().strip()
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if "Chapter Five" in text or "Chapter" in text:
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# Check if this is the chapter title, not intro/foreword headers
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if i > sections.get("foreword_bookmark", 0):
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sections["chapter_heading"] = i
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break
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return sections
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# ---------------------------------------------------------------------------
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# Intro segment extraction
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# ---------------------------------------------------------------------------
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def extract_intro_segment(
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all_paragraphs: list, start_idx: int, end_idx: int, body_classes: tuple
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) -> list[str]:
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"""Extract paragraphs for an intro segment.
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Decodes ScaGoudy, preserves HTML formatting, skips empty paragraphs.
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"""
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result = []
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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 is_empty(p):
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continue
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# Skip bookmark and header classes
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if cls in (VERSE_BOOKMARK_CLASS, BOOK_HEADER_CLASS, SECTION_HEADING_CLASS):
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continue
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# Include specified body classes and signature class
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if cls in body_classes or cls == SIGNATURE_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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return result
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# ---------------------------------------------------------------------------
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# Verse extraction state machine
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# ---------------------------------------------------------------------------
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def extract_verses(all_paragraphs: list, verses_start: int, verses_end: int) -> list:
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"""Extract verses from the BS Chapter Five section using a state machine.
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States: IDLE → VERSE_START → TRANSLITERATION → SYNONYMS →
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TRANSLATION → POST_TRANSLATION → PURPORT → (back to IDLE)
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Returns list of verse dicts.
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"""
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verses = []
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current_verse = None
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state = "IDLE"
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for i in range(verses_start, verses_end):
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p = all_paragraphs[i]
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cls = get_css_class(p)
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# --- Verse bookmark (p49) ---
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if cls == VERSE_BOOKMARK_CLASS:
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# Finalize previous verse if any
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if current_verse and state != "IDLE":
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_finalize_verse(current_verse)
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verses.append(current_verse)
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text = decode_text(p)
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verse_num = parse_verse_bookmark(text)
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if verse_num is not None:
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reference = f"Bs 5.{verse_num}"
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current_verse = {
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"book_title": "Śrī Brahma-saṁhitā",
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"chapter": 5,
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"verse": verse_num,
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"reference": reference,
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"devanagari": "",
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"transliteration": "",
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"_padas": [],
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"synonyms": [],
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"translation": "",
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"purport": [],
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}
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state = "VERSE_START"
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continue
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if not current_verse:
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continue
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# --- Verse heading (p50) - just confirms the text number ---
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if cls == VERSE_HEADING_CLASS:
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continue
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# --- TEXT label (p52) - transition to transliteration ---
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if cls == TEXT_LABEL_CLASS:
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state = "TRANSLITERATION"
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continue
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# --- Pāda transliteration lines (p5 and p66) ---
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if cls in (PADA_TRANSLIT_CLASS, PADA_TRANSLIT_CONT_CLASS) and state in (
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"VERSE_START",
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"TRANSLITERATION",
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):
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state = "TRANSLITERATION"
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line = decode_text(p)
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# Remove trailing period
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line = line.rstrip(".")
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line = line.strip()
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if line:
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# p66 marks the start of a new stanza group — insert a blank
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# sentinel so _finalize_verse preserves the line break.
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if cls == PADA_TRANSLIT_CONT_CLASS and current_verse["_padas"]:
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current_verse["_padas"].append("")
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current_verse["_padas"].append(line)
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continue
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# --- SYNONYMS header (p165) ---
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if cls == SYNONYMS_HEADER_CLASS:
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state = "SYNONYMS"
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continue
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# --- Synonyms text (p54) ---
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if cls == SYNONYM_TEXT_CLASS and current_verse:
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state = "SYNONYMS"
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syn_text = decode_text(p)
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syn_text = syn_text.strip()
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parsed = parse_synonyms(syn_text)
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current_verse["synonyms"].extend(parsed)
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continue
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# --- TRANSLATION label (p55) — check text content to distinguish from PURPORT ---
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if cls == TRANSLATION_LABEL_CLASS and current_verse:
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inner_text = p.get_text().strip().upper()
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if "TRANSLATION" in inner_text:
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state = "TRANSLATION"
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elif "PURPORT" in inner_text:
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state = "PURPORT"
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continue
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# --- PURPORT label via p57 ---
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if cls == PURPORT_LABEL_CLASS_ALT and current_verse:
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inner_text = p.get_text().strip().upper()
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if "PURPORT" in inner_text:
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state = "PURPORT"
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elif "TRANSLATION" in inner_text:
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state = "TRANSLATION"
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continue
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# --- Translation text (p56) ---
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if cls == TRANSLATION_TEXT_CLASS and current_verse and state == "TRANSLATION":
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html = decode_html_content(p)
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# Remove bold wrapper if present (the whole translation is bold)
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html = re.sub(r"^<b>(.*)</b>$", r"\1", html, flags=re.DOTALL)
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html = html.strip()
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current_verse["translation"] = html
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state = "POST_TRANSLATION"
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continue
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# --- Purport paragraphs (p48, p6) ---
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if (
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cls in (PURPORT_BODY_CLASS, FOREWORD_BODY_CLASS)
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and current_verse
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and state in ("PURPORT", "POST_TRANSLATION")
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):
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state = "PURPORT"
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html = decode_html_content(p)
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if html:
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current_verse["purport"].append(html)
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continue
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# --- Cross-references (p58) — treat as purport paragraph ---
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if (
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cls == CROSS_REF_CLASS
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and current_verse
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and state in ("PURPORT", "POST_TRANSLATION")
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):
|
|
state = "PURPORT"
|
|
html = decode_html_content(p)
|
|
if html:
|
|
current_verse["purport"].append(html)
|
|
continue
|
|
|
|
# --- Quoted verse in purport (p53) — treat as purport paragraph ---
|
|
if cls == QUOTED_VERSE_CLASS and current_verse and state == "PURPORT":
|
|
html = decode_html_content(p)
|
|
if html:
|
|
current_verse["purport"].append(html)
|
|
continue
|
|
|
|
# --- Commentator text in purport (p44) — treat as purport paragraph ---
|
|
if cls == COMMENTATOR_CLASS and current_verse and state == "PURPORT":
|
|
html = decode_html_content(p)
|
|
if html:
|
|
current_verse["purport"].append(html)
|
|
continue
|
|
|
|
# --- Section heading within purport (p31) ---
|
|
if cls == SECTION_HEADING_CLASS and current_verse and state == "PURPORT":
|
|
html = decode_html_content(p)
|
|
if html:
|
|
current_verse["purport"].append(html)
|
|
continue
|
|
|
|
# Finalize last verse
|
|
if current_verse and state != "IDLE":
|
|
_finalize_verse(current_verse)
|
|
verses.append(current_verse)
|
|
|
|
return verses
|
|
|
|
|
|
def _finalize_verse(verse: dict):
|
|
"""Build transliteration and Devanagari from pādas. Remove internal fields."""
|
|
padas = verse.get("_padas", [])
|
|
|
|
# Transliteration: one pāda per line, blank sentinels become blank lines
|
|
trans_lines = []
|
|
for p in padas:
|
|
if p == "":
|
|
trans_lines.append("") # blank line between stanza groups
|
|
else:
|
|
trans_lines.append(p)
|
|
verse["transliteration"] = "\n".join(trans_lines)
|
|
|
|
# Devanagari: pair pādas into 2-line verse structure, then convert
|
|
if padas:
|
|
paired = pair_padas(padas)
|
|
verse["devanagari"] = iast_to_devanagari(paired)
|
|
|
|
# Clean up internal field
|
|
if "_padas" in verse:
|
|
del verse["_padas"]
|
|
|
|
|
|
# ---------------------------------------------------------------------------
|
|
# Main
|
|
# ---------------------------------------------------------------------------
|
|
|
|
|
|
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", "bs")
|
|
|
|
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")
|
|
|
|
all_paragraphs = soup.find_all("p")
|
|
print(f"Total paragraphs in file: {len(all_paragraphs)}")
|
|
|
|
# --- Find BS boundaries ---
|
|
bs_start, bs_end = find_bs_boundaries(all_paragraphs)
|
|
print(f"BS content: paragraphs {bs_start} to {bs_end}")
|
|
|
|
# --- Find section boundaries ---
|
|
sections = find_section_boundaries(all_paragraphs, bs_start, bs_end)
|
|
print(f"\nSection boundaries found:")
|
|
for name, idx in sorted(sections.items(), key=lambda x: x[1]):
|
|
print(f" [{idx}] {name}")
|
|
|
|
intro_bm = sections.get("introduction_bookmark")
|
|
foreword_bm = sections.get("foreword_bookmark")
|
|
chapter_heading = sections.get("chapter_heading")
|
|
first_verse = sections.get("first_verse")
|
|
|
|
if first_verse is None:
|
|
print("ERROR: Could not find first verse bookmark (Bs 5.1)!")
|
|
sys.exit(1)
|
|
|
|
# --- Extract intro segments ---
|
|
print("\n--- Extracting Intro Segments ---")
|
|
|
|
intro_segments = []
|
|
|
|
# 1. Introduction segment
|
|
if intro_bm is not None:
|
|
intro_end = foreword_bm if foreword_bm is not None else first_verse
|
|
intro_paras = extract_intro_segment(
|
|
all_paragraphs, intro_bm, intro_end, (INTRO_BODY_CLASS,)
|
|
)
|
|
intro_segment = {
|
|
"slug": "introduction",
|
|
"title": "Introduction",
|
|
"type": "intro-segment",
|
|
"book": "bs",
|
|
"order": 1,
|
|
"paragraphs": intro_paras,
|
|
}
|
|
intro_segments.append(intro_segment)
|
|
print(f" Introduction: {len(intro_paras)} paragraphs")
|
|
|
|
# 2. Foreword segment
|
|
if foreword_bm is not None:
|
|
foreword_end = chapter_heading if chapter_heading is not None else first_verse
|
|
foreword_paras = extract_intro_segment(
|
|
all_paragraphs, foreword_bm, foreword_end, (FOREWORD_BODY_CLASS,)
|
|
)
|
|
foreword_segment = {
|
|
"slug": "foreword",
|
|
"title": "Foreword",
|
|
"type": "intro-segment",
|
|
"book": "bs",
|
|
"order": 2,
|
|
"paragraphs": foreword_paras,
|
|
}
|
|
intro_segments.append(foreword_segment)
|
|
print(f" Foreword: {len(foreword_paras)} paragraphs")
|
|
|
|
# --- Extract verses ---
|
|
print("\n--- Extracting Verses ---")
|
|
|
|
# Verse section runs from the first verse bookmark to bs_end
|
|
verses = extract_verses(all_paragraphs, first_verse, bs_end)
|
|
print(f"Extracted {len(verses)} verses (expected 62: Texts 1-62)")
|
|
|
|
# --- Write intro.json ---
|
|
intro_meta = {
|
|
"book": "bs",
|
|
"title": "Śrī Brahma-saṁhitā",
|
|
"author": "Śrīla Bhaktisiddhānta Sarasvatī Ṭhākura",
|
|
"year": 1932,
|
|
"description": "Chapter Five of the Hymns of Brahmā, discovered by Śrī Caitanya Mahāprabhu. Commentary by Śrīla Bhaktisiddhānta Sarasvatī Ṭhākura.",
|
|
"totalChapters": 1,
|
|
"chapters": [
|
|
{
|
|
"number": 5,
|
|
"title": "Chapter Five",
|
|
"totalVerses": 62,
|
|
}
|
|
],
|
|
}
|
|
write_json(intro_meta, os.path.join(output_base, "intro.json"))
|
|
|
|
# --- Write intro segments ---
|
|
print("\n--- Writing Intro Segments ---")
|
|
for seg in intro_segments:
|
|
filepath = os.path.join(output_base, "intro", f"{seg['slug']}.json")
|
|
write_json(seg, filepath)
|
|
|
|
# --- Write verse JSON files ---
|
|
print("\n--- Writing Verse Files ---")
|
|
for verse in verses:
|
|
text_num = verse["verse"]
|
|
filename = f"{str(text_num).zfill(2)}.json"
|
|
filepath = os.path.join(output_base, "chapters", "05", "verses", filename)
|
|
write_json(verse, filepath)
|
|
|
|
# --- Summary ---
|
|
print(f"\n{'=' * 60}")
|
|
print(f" EXTRACTION SUMMARY")
|
|
print(f"{'=' * 60}")
|
|
print(f" Book: Śrī Brahma-saṁhitā")
|
|
print(f" Intro segments: {len(intro_segments)}")
|
|
for seg in intro_segments:
|
|
print(
|
|
f" {seg['order']}. {seg['title']}: {len(seg['paragraphs'])} paragraphs"
|
|
)
|
|
print(f" Verses extracted: {len(verses)}")
|
|
texts_found = sorted([v["verse"] for v in verses])
|
|
if texts_found:
|
|
print(
|
|
f" Texts: {texts_found[0]}-{texts_found[-1]} ({len(texts_found)} total)"
|
|
)
|
|
else:
|
|
print(" Texts: None")
|
|
|
|
total_purport_paras = sum(len(v["purport"]) for v in verses)
|
|
total_synonyms = sum(len(v["synonyms"]) for v in verses)
|
|
print(f" Total purport ¶s: {total_purport_paras}")
|
|
print(f" Total synonyms: {total_synonyms}")
|
|
print(f" Output directory: {output_base}/")
|
|
|
|
# --- Quality checks ---
|
|
print(f"\n--- Quality Checks ---")
|
|
|
|
# Check all verses have expected fields
|
|
issues = []
|
|
for verse in verses:
|
|
ref = verse["reference"]
|
|
if not verse["transliteration"]:
|
|
issues.append(f" {ref}: missing transliteration")
|
|
if not verse["devanagari"]:
|
|
issues.append(f" {ref}: missing devanagari")
|
|
if not verse["synonyms"]:
|
|
issues.append(f" {ref}: missing synonyms")
|
|
if not verse["translation"]:
|
|
issues.append(f" {ref}: missing translation")
|
|
# Not all verses necessarily have purport, but most do
|
|
if not verse["purport"]:
|
|
issues.append(f" {ref}: missing purport (may be intentional)")
|
|
|
|
if issues:
|
|
print(" ISSUES FOUND:")
|
|
for issue in issues:
|
|
print(issue)
|
|
else:
|
|
print(
|
|
" All verses have transliteration, devanagari, synonyms, and translation ✓"
|
|
)
|
|
|
|
# Check expected verse count
|
|
expected_texts = set(range(1, 63))
|
|
found_texts = set(v["verse"] for v in verses)
|
|
missing = expected_texts - found_texts
|
|
extra = found_texts - expected_texts
|
|
if missing:
|
|
print(f" MISSING texts: {sorted(missing)}")
|
|
if extra:
|
|
print(f" UNEXPECTED texts: {sorted(extra)}")
|
|
if not missing and not extra:
|
|
print(f" All 62 texts found ✓")
|
|
|
|
# --- Samples ---
|
|
print(f"\n--- Sample: Text 1 (first) ---")
|
|
t1 = [v for v in verses if v["verse"] == 1]
|
|
if t1:
|
|
v = t1[0]
|
|
print(f" Reference: {v['reference']}")
|
|
print(f" Transliteration: {v['transliteration'][:80]}...")
|
|
print(f" Devanagari: {v['devanagari'][:80]}...")
|
|
print(f" Synonyms: {len(v['synonyms'])} entries")
|
|
if v["synonyms"]:
|
|
print(f" First: {v['synonyms'][0]}")
|
|
trans_preview = re.sub(r"<[^>]+>", "", v["translation"])[:100]
|
|
print(f" Translation: {trans_preview}...")
|
|
print(f" Purport ¶s: {len(v['purport'])}")
|
|
|
|
print(f"\n--- Sample: Text 29 (middle) ---")
|
|
t29 = [v for v in verses if v["verse"] == 29]
|
|
if t29:
|
|
v = t29[0]
|
|
print(f" Reference: {v['reference']}")
|
|
print(f" Transliteration: {v['transliteration'][:80]}...")
|
|
print(f" Devanagari: {v['devanagari'][:80]}...")
|
|
print(f" Synonyms: {len(v['synonyms'])} entries")
|
|
if v["synonyms"]:
|
|
print(f" First: {v['synonyms'][0]}")
|
|
print(f" Last: {v['synonyms'][-1]}")
|
|
trans_preview = re.sub(r"<[^>]+>", "", v["translation"])[:100]
|
|
print(f" Translation: {trans_preview}...")
|
|
print(f" Purport ¶s: {len(v['purport'])}")
|
|
|
|
print(f"\n--- Sample: Text 62 (last) ---")
|
|
t62 = [v for v in verses if v["verse"] == 62]
|
|
if t62:
|
|
v = t62[0]
|
|
print(f" Reference: {v['reference']}")
|
|
print(f" Transliteration: {v['transliteration'][:80]}...")
|
|
print(f" Devanagari: {v['devanagari'][:80]}...")
|
|
print(f" Synonyms: {len(v['synonyms'])} entries")
|
|
trans_preview = re.sub(r"<[^>]+>", "", v["translation"])[:100]
|
|
print(f" Translation: {trans_preview}...")
|
|
print(f" Purport ¶s: {len(v['purport'])}")
|
|
|
|
# --- Intro segment paragraph counts ---
|
|
print(f"\n--- Intro Segment Details ---")
|
|
for seg in intro_segments:
|
|
print(f" {seg['title']}: {len(seg['paragraphs'])} paragraphs")
|
|
if seg["paragraphs"]:
|
|
first_preview = re.sub(r"<[^>]+>", "", seg["paragraphs"][0])[:100]
|
|
print(f" First ¶: {first_preview}...")
|
|
last_preview = re.sub(r"<[^>]+>", "", seg["paragraphs"][-1])[:100]
|
|
print(f" Last ¶: {last_preview}...")
|
|
|
|
|
|
if __name__ == "__main__":
|
|
main()
|