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spsays-training/scripts/sb_extract.py
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2026-04-14 15:58:06 +05:30

808 lines
27 KiB
Python

#!/usr/bin/env python3
"""Extract Śrīmad-Bhāgavatam verses from HTML into structured JSON files.
Structure: Canto → Chapter → Verse
Output goes to app/lib/books/sb/
The SB HTML uses a different class mapping than BG but shares the same
ScaGoudy font encoding and the same verse structure:
Devanagari (skip) → Transliteration pādas → Synonyms → Translation → Purport
"""
import json
import os
import re
import sys
from bs4 import BeautifulSoup, Tag
from indic_transliteration import sanscript
from indic_transliteration.sanscript import transliterate
# ---------------------------------------------------------------------------
# ScaGoudy → IAST Unicode mapping (shared with bg_extract.py)
# ---------------------------------------------------------------------------
SCAGOUDY_TO_IAST = {
"ä": "ā",
"Ä": "Ā",
"å": "ṛ",
"Å": "Ṛ",
"ñ": "ṣ",
"Ñ": "Ṣ",
"ö": "ṭ",
"Ö": "Ṭ",
"ë": "ṇ",
"Ë": "Ṇ",
"ò": "ḍ",
"Ò": "Ḍ",
"ç": "ś",
"Ç": "Ś",
"ì": "ṅ",
"ï": "ñ",
"ü": "ū",
"Ü": "Ū",
"é": "ī",
"É": "Ī",
"à": "ṁ",
"ù": "ḥ",
}
def decode_scagoudy(text: str) -> str:
"""Convert ScaGoudy-encoded text to proper IAST Unicode."""
for src, dst in SCAGOUDY_TO_IAST.items():
text = text.replace(src, dst)
return text
def decode_html_content(tag: Tag) -> str:
"""Extract inner HTML from a tag, decode ScaGoudy, preserve formatting tags."""
inner = "".join(str(child) for child in tag.children)
inner = decode_scagoudy(inner)
# Remove span tags with CSS classes (artifacts from RTF conversion)
inner = re.sub(r'<span[^>]*class="[^"]*"[^>]*>(.*?)</span>', r"\1", inner)
inner = re.sub(r"\s+", " ", inner).strip()
return inner
def decode_text(tag: Tag) -> str:
"""Extract plain text from a tag and decode ScaGoudy."""
text = tag.get_text()
return decode_scagoudy(text).strip()
# ---------------------------------------------------------------------------
# Devanagari helpers (same as bg_extract.py)
# ---------------------------------------------------------------------------
def normalize_devanagari_anusvara(text: str) -> str:
"""Replace explicit class nasals before same-class consonants with anusvāra."""
replacements = [
(r"ङ्([कखगघ])", r"ं\1"),
(r"ञ्([चछजझ])", r"ं\1"),
]
for pattern, repl in replacements:
text = re.sub(pattern, repl, text)
return text
def join_virama_words(text: str) -> str:
"""Join Devanagari words where the previous word ends with virāma.
Handles both virāma+consonant and virāma+vowel cases.
In Devanagari script, a halant (virāma) consonant always absorbs the
following letter — whether consonant or vowel — without a space.
virāma + consonant: श्रीर् विजयो → श्रीर्विजयो
virāma + vowel: तैर् अलातायुधैः → तैरलातायुधैः
"""
# Join virāma + space + consonant (क U+0915 through ह U+0939)
# Use [ \t]+ instead of \s+ to avoid joining across newlines (line breaks
# separate paired pādas and must be preserved).
text = re.sub(r"्[ \t]+([क-ह])", r"्\1", text)
# Join virāma + space + independent vowel (अ U+0905 through औ U+0914, plus ॠ ॡ)
# The transliterator will have produced virāma on the consonant and a separate
# independent vowel glyph. We need to:
# 1. Drop the virāma (the consonant takes the vowel)
# 2. Replace the independent vowel with its dependent mātrā form
# However, a simpler approach: just remove the space and let the
# virāma+independent-vowel stay — this is visually wrong.
# Instead, we do the proper mapping:
_VOWEL_TO_MATRA = {
"अ": "", # inherent vowel — just drop virāma and the अ
"आ": "ा",
"इ": "ि",
"ई": "ी",
"उ": "ु",
"ऊ": "ू",
"ऋ": "ृ",
"ॠ": "ॄ",
"ऌ": "ॢ",
"ॡ": "ॣ",
"ए": "े",
"ऐ": "ै",
"ओ": "ो",
"औ": "ौ",
}
def _virama_vowel_replace(m):
vowel = m.group(1)
matra = _VOWEL_TO_MATRA.get(vowel, vowel)
# Remove the virāma (्) and replace independent vowel with mātrā
return matra
text = re.sub(r"्[ \t]+([अ-औॠॡ])", _virama_vowel_replace, text)
return text
def iast_to_devanagari(iast_text: str) -> str:
"""Convert IAST transliteration to Devanagari script."""
lines = iast_text.split("\n")
result_lines = []
for line in lines:
clean = line.replace("-", "")
clean = clean.replace("ṁ", "ṃ")
deva = transliterate(clean, sanscript.IAST, sanscript.DEVANAGARI)
deva = normalize_devanagari_anusvara(deva)
deva = join_virama_words(deva)
result_lines.append(deva)
return "\n".join(result_lines)
def pair_padas(padas: list) -> str:
"""Pair pādas into verse lines (2 pādas per line)."""
if not padas:
return ""
lines = []
i = 0
if len(padas) % 2 == 1:
lines.append(padas[0])
i = 1
while i < len(padas) - 1:
lines.append(padas[i] + " " + padas[i + 1])
i += 2
if i < len(padas):
lines.append(padas[i])
return "\n".join(lines)
# ---------------------------------------------------------------------------
# Synonym parser (same as bg_extract.py)
# ---------------------------------------------------------------------------
def parse_synonyms(text: str) -> list:
"""Parse synonym text into structured array."""
result = []
entries = text.split(";")
for entry in entries:
entry = entry.strip()
if not entry:
continue
if "—" in entry:
parts = entry.split("—", 1)
elif "--" in entry:
parts = entry.split("--", 1)
else:
continue
if len(parts) == 2:
word = parts[0].strip().strip("., ")
meaning = parts[1].strip()
if word and meaning:
result.append({"word": word, "meanings": [meaning]})
return result
def parse_synonym_html(tag: Tag) -> list:
text = decode_text(tag)
return parse_synonyms(text)
# ---------------------------------------------------------------------------
# CSS class helpers
# ---------------------------------------------------------------------------
# All Devanagari classes (Indevr + RM Devanagari) — content to skip
DEVANAGARI_CLASSES = frozenset(
[
"p23",
"p81",
"p91",
"p101",
"p102",
"p105",
"p113", # Indevr
"p126",
"p128",
"p129", # RM Devanagari
]
)
# Transliteration pāda classes (center-aligned italic ScaGoudy)
TRANSLITERATION_CLASSES = frozenset(["p24"])
# Classes that are sometimes transliteration pādas (when they appear between
# Devanagari and synonyms) but otherwise are embedded verse quotes in purport.
# p41 and p92 are used for prose-style transliterations (common in Canto 5).
# p59 is a rare center-aligned variant also used for transliteration.
# p17 is primarily a purport class (780 uses) but occasionally holds transliteration
# pādas (e.g. SB 5.24.7, SB 6.19.8) — the state machine ensures it's only
# captured as transliteration when between Devanagari and synonyms.
# p114 is an indented ScaGoudy paragraph used once for a transliteration pāda.
MAYBE_TRANSLITERATION_CLASSES = frozenset(["p33", "p41", "p92", "p59", "p17", "p114"])
# Synonym classes (color #000080)
# p117 is a rare variant (2 occurrences) with same margins as p25 but no color
SYNONYM_CLASSES = frozenset(["p25", "p124", "p117"])
# Translation/purport section header classes
SECTION_HEADER_CLASSES = frozenset(["p26", "p28"])
# Translation text classes (color #800000, bold)
# p108 is maroon-colored ScaGoudy (3 occurrences) used as translation text
# p118 is a rare variant (1 occurrence) with same margins as p27 but no color
TRANSLATION_CLASSES = frozenset(["p27", "p98", "p108", "p118"])
# Purport paragraph classes — a wide set because the HTML uses many variants
PURPORT_CLASSES = frozenset(
[
"p29",
"p14",
"p17",
"p18",
"p30",
"p11",
"p45",
"p67",
"p77",
"p80",
"p117",
"p118",
"p119",
"p84",
"p79",
"p133",
"p135",
"p136",
"p62",
"p44",
"p83",
"p96", # chapter summaries (inside Summary entries)
"p5", # general text paragraphs (used in purport/summary context)
]
)
# Embedded verse quotations inside purport (center-aligned) — include in purport
PURPORT_VERSE_CLASSES = frozenset(
[
"p46",
"p33",
"p41",
"p12",
"p13", # verse quotes & numbered lists in purport
"p15",
"p47",
"p55",
"p56",
"p58", # center-aligned purport variants
"p66",
"p68", # center-aligned purport variants
"p34", # small center-aligned text in purport
"p69", # purport paragraph variant
"p93", # purport paragraph variant
"p107", # purport paragraph variant
]
)
# End-of-verse citation references (green, e.g. "[Bhāg. 1962:1.1.1]")
CITATION_CLASSES = frozenset(["p31"])
# Chapter-end markers ("Thus end the Bhaktivedanta purports…")
CHAPTER_END_CLASS = "p32"
# Chapter header bookmark (e.g. "SB 1.1: Questions by the Sages")
CHAPTER_BOOKMARK_CLASS = "p8"
# Chapter heading (e.g. "CHAPTER ONE\nQuestions by the Sages")
CHAPTER_HEADING_CLASS = "p19"
# Verse reference marker (e.g. "SB 1.1.1" or "SB. 6.1.1")
VERSE_REF_CLASS = "p20"
# TEXT N header
TEXT_HEADER_CLASS = "p21"
# "TEXT" label
TEXT_LABEL_CLASS = "p22"
# Canto/volume boundary markers — skip
CANTO_MARKER_CLASSES = frozenset(["p3", "p74"])
# Section title classes that are NOT verse content — skip
SKIP_CLASSES = frozenset(
[
"p4",
"p9",
"p49",
"p50", # canto/volume headers, dedication, glossary
"p10",
"p35",
"p95",
"p134", # decorative / Times font
"p48", # glossary/author markers
"p22", # "TEXT" label — we use p21 for TEXT N
]
)
def get_css_class(tag: Tag) -> str:
"""Get the primary CSS class of a tag."""
classes = tag.get("class", [])
return classes[0] if classes else ""
def _tag_uses_devanagari_font(tag: Tag) -> bool:
"""Check if a tag's CSS class is a known Devanagari class."""
return get_css_class(tag) in DEVANAGARI_CLASSES
# ---------------------------------------------------------------------------
# Reference parsing
# ---------------------------------------------------------------------------
# Matches "SB 1.1.1" or "SB. 6.1.1" — captures canto, chapter, verse
_VERSE_REF_RE = re.compile(r"SB\.?\s*(\d+)\.(\d+)\.(\d+)")
# Matches verse range like "SB 1.4.17-18" — captures start and end verse nums
_VERSE_RANGE_RE = re.compile(r"SB\.?\s*\d+\.\d+\.(\d+)\s*-\s*(\d+)")
# Matches chapter reference like "SB 1.1:" or "SB. 6.1:"
_CHAPTER_REF_RE = re.compile(r"SB\.?\s*(\d+)\.(\d+)\s*:")
# Matches summary reference like "SB 5.1 Summary"
_SUMMARY_RE = re.compile(r"SB\.?\s*(\d+)\.(\d+)\s+Summary", re.IGNORECASE)
# Matches invocation reference like "SB 2.1.invo"
_INVO_RE = re.compile(r"SB\.?\s*(\d+)\.(\d+)\.invo", re.IGNORECASE)
def _parse_verse_ref(text: str):
"""Parse a verse reference string.
Returns (canto, chapter, verse, verse_end, clean_ref, ref_type) or None.
ref_type is one of: 'verse', 'summary', 'invocation'
"""
text = text.strip()
# Check for Summary
m = _SUMMARY_RE.search(text)
if m:
canto = int(m.group(1))
chapter = int(m.group(2))
return (canto, chapter, 0, None, f"SB {canto}.{chapter} Summary", "summary")
# Check for Invocation
m = _INVO_RE.search(text)
if m:
canto = int(m.group(1))
chapter = int(m.group(2))
return (
canto,
chapter,
0,
None,
f"SB {canto}.{chapter} Invocation",
"invocation",
)
# Check for verse range in the reference text
# The ref may contain multiple individual refs then a range at the end:
# "SB 1.4.17, SB 1.4.18, SB 1.4.17-18"
# Or just a plain range: "SB 10.1.5-7"
# We want the last meaningful reference.
verse_refs = list(_VERSE_REF_RE.finditer(text))
if not verse_refs:
return None
# Use the first match for canto/chapter/verse
first = verse_refs[0]
canto = int(first.group(1))
chapter = int(first.group(2))
verse = int(first.group(3))
# Check for range
verse_end = None
range_match = _VERSE_RANGE_RE.search(text)
if range_match:
verse_end = int(range_match.group(2))
# The first verse number from the range
verse = int(range_match.group(1))
# Build clean reference
if verse_end is not None:
clean_ref = f"SB {canto}.{chapter}.{verse}-{verse_end}"
else:
clean_ref = f"SB {canto}.{chapter}.{verse}"
return (canto, chapter, verse, verse_end, clean_ref, "verse")
# ---------------------------------------------------------------------------
# Chapter title parsing from p8 tags
# ---------------------------------------------------------------------------
def _parse_chapter_bookmark(text: str):
"""Parse a chapter bookmark like 'SB 1.1: Questions by the Sages'.
Returns (canto, chapter, title) or None.
"""
text = text.strip()
m = re.match(r"SB\.?\s*(\d+)\.(\d+)\s*:\s*(.+)", text)
if m:
canto = int(m.group(1))
chapter = int(m.group(2))
title = decode_scagoudy(m.group(3).strip())
return (canto, chapter, title)
return None
# ---------------------------------------------------------------------------
# State machine
# ---------------------------------------------------------------------------
def _finalize_verse(verse: dict):
"""Build transliteration and Devanagari from pādas. Remove internal fields."""
padas = verse.get("_padas", [])
verse["transliteration"] = "\n".join(padas)
if padas:
verse["devanagari"] = iast_to_devanagari(pair_padas(padas))
else:
verse["devanagari"] = ""
if "_padas" in verse:
del verse["_padas"]
if "_state" in verse:
del verse["_state"]
if "_ref_type" in verse:
del verse["_ref_type"]
def extract_verses(soup: BeautifulSoup, max_canto=99, max_chapter=999, max_verse=9999):
"""Extract verses from parsed SB HTML using a state machine.
Returns (verses, chapter_info) where chapter_info is:
{ (canto, chapter): title_string }
"""
paragraphs = soup.find_all("p")
verses = []
current_verse = None
state = "IDLE" # IDLE, DEVANAGARI, TRANSLITERATION, SYNONYMS,
# TRANSLATION, PURPORT, SUMMARY
chapter_titles = {} # (canto, chapter) -> title
for p in paragraphs:
cls = get_css_class(p)
text = p.get_text().strip()
# --- Chapter bookmark (p8) ---
if cls == CHAPTER_BOOKMARK_CLASS:
parsed = _parse_chapter_bookmark(text)
if parsed:
canto, chapter, title = parsed
chapter_titles[(canto, chapter)] = title
# Don't change state — bookmarks appear before the chapter heading
continue
# --- Canto / volume markers — skip ---
if cls in CANTO_MARKER_CLASSES or cls in SKIP_CLASSES:
continue
# --- Chapter heading (p19) — skip ---
if cls == CHAPTER_HEADING_CLASS:
continue
# --- Verse reference (p20) ---
if cls == VERSE_REF_CLASS:
# Finalize previous verse
if current_verse and current_verse.get("_ref_type") != "summary":
_finalize_verse(current_verse)
verses.append(current_verse)
elif current_verse and current_verse.get("_ref_type") == "summary":
# Discard summary entries — they're chapter preambles, not verses
pass
current_verse = None
state = "IDLE"
ref = _parse_verse_ref(text)
if ref is None:
continue
canto, chapter, verse_num, verse_end, clean_ref, ref_type = ref
if canto > max_canto:
break
if canto == max_canto and chapter > max_chapter:
break
if canto == max_canto and chapter == max_chapter and verse_num > max_verse:
break
if ref_type == "summary":
# Start collecting summary text but mark it so we skip it
current_verse = {
"_ref_type": "summary",
"_state": "SUMMARY",
}
state = "SUMMARY"
continue
current_verse = {
"book_title": "Śrīmad-Bhāgavatam",
"canto": canto,
"chapter": chapter,
"verse": verse_num,
"reference": clean_ref,
"devanagari": "",
"transliteration": "",
"_padas": [],
"synonyms": [],
"translation": "",
"purport": [],
"_state": "VERSE_START",
"_ref_type": ref_type,
}
if verse_end is not None:
current_verse["verse_end"] = verse_end
state = "VERSE_START"
continue
# --- Summary state: just skip everything until next p20 ---
if state == "SUMMARY":
continue
# --- TEXT N header (p21) ---
if cls == TEXT_HEADER_CLASS and current_verse:
continue
# --- TEXT label (p22) ---
if cls == TEXT_LABEL_CLASS:
continue
# --- Devanagari (Indevr / RM Devanagari) — SKIP, derive from transliteration ---
if cls in DEVANAGARI_CLASSES and current_verse:
state = "DEVANAGARI"
current_verse["_state"] = state
continue
# --- Transliteration pādas (p24) ---
if (
cls in TRANSLITERATION_CLASSES
and current_verse
and state in ("VERSE_START", "DEVANAGARI", "TRANSLITERATION")
):
state = "TRANSLITERATION"
current_verse["_state"] = state
line = decode_text(p)
if line:
current_verse["_padas"].append(line)
continue
# --- Maybe-transliteration (p33) — only if we're in transliteration context ---
if (
cls in MAYBE_TRANSLITERATION_CLASSES
and current_verse
and state in ("DEVANAGARI", "TRANSLITERATION")
):
state = "TRANSLITERATION"
current_verse["_state"] = state
line = decode_text(p)
if line:
current_verse["_padas"].append(line)
continue
# --- Synonyms (p25, p124) ---
if cls in SYNONYM_CLASSES and current_verse:
state = "SYNONYMS"
current_verse["_state"] = state
current_verse["synonyms"] = parse_synonym_html(p)
continue
# --- Section headers: TRANSLATION / PURPORT (p26, p28) ---
if cls in SECTION_HEADER_CLASSES and current_verse:
header_text = text.strip().upper()
if "TRANSLATION" in header_text:
state = "TRANSLATION"
current_verse["_state"] = state
elif "PURPORT" in header_text:
state = "PURPORT"
current_verse["_state"] = state
continue
# --- Translation text (p27, p98) ---
# Also handle mislabeled headers: in some verses (e.g. SB 10.4.6, 10.4.7)
# the TRANSLATION header says "PURPORT", so state may be PURPORT but
# translation is still empty. If we see a p27 tag and translation is empty,
# capture it as translation regardless of state.
if (
cls in TRANSLATION_CLASSES
and current_verse
and (
state == "TRANSLATION"
or (state == "PURPORT" and not current_verse.get("translation"))
)
):
current_verse["translation"] = decode_html_content(p)
state = "POST_TRANSLATION"
current_verse["_state"] = state
continue
# --- p71 is blue-colored translation (miscolored — treat as translation) ---
if cls == "p71" and current_verse and state == "TRANSLATION":
current_verse["translation"] = decode_html_content(p)
state = "POST_TRANSLATION"
current_verse["_state"] = state
continue
# --- Purport paragraphs ---
if state == "PURPORT" and current_verse and cls in PURPORT_CLASSES:
content = decode_html_content(p)
if content and "Thus end the Bhaktivedanta" not in text:
current_verse["purport"].append(content)
continue
# --- Embedded verse quotations inside purport ---
if state == "PURPORT" and current_verse and cls in PURPORT_VERSE_CLASSES:
content = decode_html_content(p)
if content:
current_verse["purport"].append(content)
continue
# --- Citation / end-of-verse reference (p31) ---
if cls in CITATION_CLASSES and current_verse:
# These mark the end of a verse's content but we don't store them
# The verse continues to the next p20
continue
# --- Chapter end marker (p32) ---
if cls == CHAPTER_END_CLASS:
if current_verse and current_verse.get("_ref_type") not in ("summary",):
_finalize_verse(current_verse)
verses.append(current_verse)
current_verse = None
state = "IDLE"
continue
# Don't forget the last verse
if current_verse and current_verse.get("_ref_type") not in ("summary",):
_finalize_verse(current_verse)
verses.append(current_verse)
return verses, chapter_titles
# ---------------------------------------------------------------------------
# JSON output
# ---------------------------------------------------------------------------
def write_json(data, filepath):
"""Write JSON with proper Unicode and formatting."""
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)
print(f" Written: {filepath}")
def main():
base_dir = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
html_path = os.path.join(base_dir, "public", "html", "sb.html")
output_dir = os.path.join(base_dir, "app", "lib", "books", "sb")
print(f"Reading {html_path}...")
with open(html_path, "r", encoding="utf-8") as f:
soup = BeautifulSoup(f, "html.parser")
print("Extracting all SB verses...")
verses, chapter_titles = extract_verses(soup)
print(f"\nExtracted {len(verses)} verses across {len(chapter_titles)} chapters")
# Group by (canto, chapter) to build intro.json
cantos_info = {} # canto -> { chapter -> verse_count }
for verse in verses:
c = verse["canto"]
ch = verse["chapter"]
if c not in cantos_info:
cantos_info[c] = {}
if ch not in cantos_info[c]:
cantos_info[c][ch] = 0
cantos_info[c][ch] += 1
# Canto names
canto_names = {
1: "Creation",
2: "The Cosmic Manifestation",
3: "The Status Quo",
4: "The Creation of the Fourth Order",
5: "The Creative Impetus",
6: "Prescribed Duties for Mankind",
7: "The Science of God",
8: "Withdrawal of the Cosmic Creations",
9: "Liberation",
10: "The Summum Bonum",
}
# Build intro.json
total_cantos = max(cantos_info.keys()) if cantos_info else 0
cantos_list = []
for canto_num in sorted(cantos_info.keys()):
chapters_in_canto = cantos_info[canto_num]
chapters_list = []
for ch_num in sorted(chapters_in_canto.keys()):
title = chapter_titles.get((canto_num, ch_num), "")
chapters_list.append(
{
"number": ch_num,
"title": title,
"totalVerses": chapters_in_canto[ch_num],
}
)
cantos_list.append(
{
"number": canto_num,
"title": canto_names.get(canto_num, f"Canto {canto_num}"),
"totalChapters": len(chapters_list),
"chapters": chapters_list,
}
)
intro = {
"book": "sb",
"title": "Śrīmad-Bhāgavatam",
"author": "His Divine Grace A.C. Bhaktivedanta Swami Prabhupāda",
"totalCantos": total_cantos,
"cantos": cantos_list,
}
write_json(intro, os.path.join(output_dir, "intro.json"))
# Write verse JSON files:
# app/lib/books/sb/cantos/CC/chapters/CH/verses/VV.json
for verse in verses:
canto = str(verse["canto"]).zfill(2)
ch = str(verse["chapter"]).zfill(2)
vs = str(verse["verse"]).zfill(2)
filepath = os.path.join(
output_dir, "cantos", canto, "chapters", ch, "verses", f"{vs}.json"
)
write_json(verse, filepath)
# Print summary for verification
print("\n--- Verification ---")
for canto_num in sorted(cantos_info.keys()):
chapters_in_canto = cantos_info[canto_num]
total_verses_in_canto = sum(chapters_in_canto.values())
print(
f"\nCanto {canto_num}: {len(chapters_in_canto)} chapters, {total_verses_in_canto} verses"
)
for ch_num in sorted(chapters_in_canto.keys()):
ch_verses = [
v for v in verses if v["canto"] == canto_num and v["chapter"] == ch_num
]
if ch_verses:
first = ch_verses[0]
last = ch_verses[-1]
title = chapter_titles.get((canto_num, ch_num), "")
print(
f" Ch {ch_num:>2}: {len(ch_verses):>3} verses "
f"({first['reference']} → {last['reference']}) {title}"
)
# Quick quality check: show first verse details
if verses:
print("\n--- Sample (first verse) ---")
v = verses[0]
print(f"Reference: {v['reference']}")
print(f"Devanagari:\n{v['devanagari']}")
print(f"Transliteration:\n{v['transliteration']}")
print(f"Synonyms: {len(v['synonyms'])} entries")
if v["synonyms"]:
print(f" First: {v['synonyms'][0]}")
print(f"Translation: {v['translation'][:120]}...")
print(f"Purport: {len(v['purport'])} paragraphs")
if __name__ == "__main__":
main()