Files
bikoret/scripts/build_l1.py
T
Scott KarpandClaude Opus 4.6 4775122c84 Cleanup: move transcripts out, scripts into scripts/, drop scaffold
- transcripts/ moved to ~/shorashim-transcripts (separate from code repo)
  Added to .gitignore so it stays out
- src/l1_aron/build_l1.py → scripts/build_l1.py
- src/tools/conversation_search.py → scripts/conversation_search.py
- Removed empty src/ scaffolding (l0_luchot, sanhedrin, shema_layer,
  shoresh_engine, urim_v_tumim — all .gitkeep stubs from an earlier
  layout, never used; the real code lives in shoresh-engine/,
  sanhedrin/, vav_pipeline/, etc.)
- Removed Untitled/ and erl_crash.dump (untracked junk)

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-04-21 08:09:53 -04:00

684 lines
22 KiB
Python
Raw Blame History

This file contains ambiguous Unicode characters
This file contains Unicode characters that might be confused with other characters. If you think that this is intentional, you can safely ignore this warning. Use the Escape button to reveal them.
#!/usr/bin/env python3
"""
L1 Torah Filesystem Builder — Bezalel's Chisel
Parses the Westminster Leningrad Codex (morphhb OSIS XML) and produces
the read-only Torah filesystem for Shorashim.
This is a construction tool. It runs once. It produces JSON files.
The consumers (Haskell L0, Erlang Shoresh Engine) will read these files.
Ka'asher tzivah Hashem et Moshe.
"""
import json
import hashlib
import os
import re
import sys
import unicodedata
import xml.etree.ElementTree as ET
from pathlib import Path
from collections import defaultdict
# === CONSTANTS ===
OSIS_NS = "http://www.bibletechnologies.net/2003/OSIS/namespace"
TORAH_BOOKS = [
("Gen", "bereishit"),
("Exod", "shemot"),
("Lev", "vayikra"),
("Num", "bamidbar"),
("Deut", "devarim"),
]
# Hebrew prefix letters and their morphhb codes
PREFIX_MAP = {
"b": "ב", # bet - in/with
"c": "ו", # vav-consecutive/conjunctive
"d": "ה", # he ha-yedia (definite article)
"e": "ה", # he interrogative
"f": "ו", # vav conjunctive (variant)
"k": "כ", # kaf - like/as
"l": "ל", # lamed - to/for
"m": "מ", # mem - from
"s": "ש", # shin - that/which (relative)
}
# Unicode ranges for Hebrew cantillation marks (te'amim)
# Range: U+0591 to U+05AF
TEAMIM_MAP = {
"\u0591": "etnachta",
"\u0592": "segol_accent", # segol (accent, not vowel)
"\u0593": "shalshelet",
"\u0594": "zaqef_qatan",
"\u0595": "zaqef_gadol",
"\u0596": "tipcha",
"\u0597": "revia",
"\u0598": "zarqa",
"\u0599": "pashta",
"\u059A": "yetiv",
"\u059B": "tevir",
"\u059C": "geresh",
"\u059D": "geresh_muqdam",
"\u059E": "gershayim",
"\u059F": "qarney_para",
"\u05A0": "telisha_gedola",
"\u05A1": "pazer",
"\u05A2": "atnah_hafukh",
"\u05A3": "munach",
"\u05A4": "mahapakh",
"\u05A5": "mercha",
"\u05A6": "mercha_kefula",
"\u05A7": "darga",
"\u05A8": "qadma",
"\u05A9": "telisha_qetana",
"\u05AA": "yerah_ben_yomo",
"\u05AB": "ole",
"\u05AC": "iluy",
"\u05AD": "dehi",
"\u05AE": "zinor",
"\u05AF": "masora_circle",
}
# U+05BD (meteg) doubles as siluq (cantillation mark on final word before sof-pasuq).
# We treat it as a cantillation mark so it shows up in te'amim extraction.
TEAMIM_MAP["\u05BD"] = "meteg_siluq"
# Unicode ranges for Hebrew vowel points (nikkud)
# Range: U+05B0 to U+05BC, U+05BF, U+05C1, U+05C2, U+05C7
# NOTE: U+05BD (meteg/siluq) is in TEAMIM_MAP, not here
VOWEL_POINTS = set(
"\u05B0\u05B1\u05B2\u05B3\u05B4\u05B5\u05B6\u05B7"
"\u05B8\u05B9\u05BA\u05BB\u05BC\u05BF\u05C1\u05C2\u05C7"
)
# Sof pasuq and maqaf
SOF_PASUQ = "\u05C3" # ׃
MAQAF = "\u05BE" # ־
PASEQ = "\u05C0" # ׀
def strip_cantillation(text: str) -> str:
"""Remove cantillation marks, keep vowels and consonants."""
return "".join(c for c in text if c not in TEAMIM_MAP)
def strip_vowels_and_cantillation(text: str) -> str:
"""Extract consonantal text only — strip vowels, cantillation, and dagesh."""
result = []
for c in text:
if c in TEAMIM_MAP:
continue
if c in VOWEL_POINTS:
continue
if c == "/":
continue
if c == MAQAF or c == SOF_PASUQ or c == PASEQ:
continue
result.append(c)
return "".join(result)
def extract_teamim(text: str) -> list[str]:
"""Extract cantillation mark names from Hebrew text."""
marks = []
for c in text:
if c in TEAMIM_MAP:
marks.append(TEAMIM_MAP[c])
return marks
def parse_prefixes(lemma_str: str, morph_str: str) -> tuple[list[str], str, str]:
"""
Parse prefix codes from lemma and morph strings.
Returns: (prefix_hebrew_letters, core_lemma, core_morph)
lemma format: "b/7225" or "c/d/776" (prefix codes / Strong's number)
morph format: "HR/Ncfsa" or "HC/Td/Ncbsa" (H + prefix types / core morph)
"""
prefixes = []
# Parse lemma prefixes
lemma_parts = lemma_str.split("/")
core_lemma = lemma_parts[-1] # Last part is always the Strong's number
for part in lemma_parts[:-1]:
if part in PREFIX_MAP:
prefixes.append(PREFIX_MAP[part])
# Parse morph — strip leading 'H' and split on '/'
core_morph = morph_str
if morph_str.startswith("H"):
morph_inner = morph_str[1:]
morph_parts = morph_inner.split("/")
core_morph = morph_parts[-1] # Last part is the core morphology
return prefixes, core_lemma, core_morph
def parse_morph_code(morph: str) -> dict:
"""
Parse a morphhb morphological code into a structured dict.
Code format (after stripping H prefix and prefixes):
First char = part of speech:
V=verb, N=noun, A=adjective, P=pronoun, R=preposition,
T=particle, C=conjunction, D=adverb, S=suffix
For verbs: V + stem(q/N/p/P/h/H/t/etc) + conjugation(p/i/w/j/v/r/c/a)
+ person(1/2/3) + gender(m/f/c) + number(s/p/d)
For nouns: N + type(c/p) + gender(m/f/b) + number(s/p/d) + state(a/c/d)
"""
if not morph:
return {"raw": morph}
result = {"raw": morph}
if len(morph) < 1:
return result
pos = morph[0]
pos_map = {
"V": "verb", "N": "noun", "A": "adjective",
"P": "pronoun", "R": "preposition", "T": "particle",
"C": "conjunction", "D": "adverb", "S": "suffix",
}
result["pos"] = pos_map.get(pos, pos)
if pos == "V" and len(morph) >= 3:
stem_map = {
"q": "qal", "N": "nifal", "p": "piel", "P": "pual",
"h": "hifil", "H": "hofal", "t": "hitpael",
"o": "polel", "O": "polal", "r": "hitpolel",
"m": "poel", "M": "poal", "k": "palel",
"K": "pulal", "Q": "qal_passive", "l": "pilpel",
"L": "polpal", "f": "hithpalpel", "D": "nithpael",
"j": "pealal", "i": "pilel", "u": "hothpaal",
"c": "tiphil", "v": "hishtaphel", "w": "nithpalel",
"y": "nithpoel", "z": "hithpoel",
}
result["stem"] = stem_map.get(morph[1], morph[1])
conj_map = {
"p": "perfect", "i": "imperfect", "w": "vav_consecutive",
"j": "jussive", "v": "imperative", "r": "participle_active",
"s": "participle_passive", "a": "infinitive_absolute",
"c": "infinitive_construct",
}
if len(morph) >= 3:
result["conjugation"] = conj_map.get(morph[2], morph[2])
elif pos == "N" and len(morph) >= 2:
type_map = {"c": "common", "p": "proper"}
result["noun_type"] = type_map.get(morph[1], morph[1])
return result
def strong_to_lemma_text(strong_num: str) -> str:
"""
Clean a Strong's number string for use as lemma identifier.
Handles formats like "1254 a", "430", "7225"
"""
return strong_num.strip()
def derive_shoresh_from_word(consonants: str, morph_info: dict) -> str | None:
"""
Attempt to derive a triliteral root from consonantal text and morphology.
This is a heuristic — not all words have triliteral roots (particles,
pronouns, etc). Returns None when derivation fails.
"""
pos = morph_info.get("pos", "")
# Particles, prepositions, conjunctions, pronouns don't have shoreshim
if pos in ("preposition", "particle", "conjunction", "pronoun", "suffix"):
return None
# For the consonantal text, we want only Hebrew letters
hebrew_only = re.sub(r"[^\u05D0-\u05EA]", "", consonants)
if len(hebrew_only) < 2:
return None
stem = morph_info.get("stem", "")
conjugation = morph_info.get("conjugation", "")
if pos == "verb":
# Strip imperfect/jussive/vav-consecutive prefixes: י מ נ ת א
# These are conjugation prefixes, not part of the root
if conjugation in ("imperfect", "vav_consecutive", "jussive"):
if len(hebrew_only) >= 4 and hebrew_only[0] in "ימנתא":
hebrew_only = hebrew_only[1:]
# Strip hifil/hofal he prefix
if stem in ("hifil", "hofal") and len(hebrew_only) >= 4:
if hebrew_only[0] == "ה":
hebrew_only = hebrew_only[1:]
# Imperfect hifil: prefix already stripped, check for yod remnant
# Strip hitpael tav prefix (and sometimes he)
elif stem == "hitpael" and len(hebrew_only) >= 4:
if hebrew_only[0] == "ה" and len(hebrew_only) >= 5 and hebrew_only[1] == "ת":
hebrew_only = hebrew_only[2:]
elif hebrew_only[0] == "ת":
hebrew_only = hebrew_only[1:]
# Strip nifal nun prefix
elif stem == "nifal" and len(hebrew_only) >= 4:
if hebrew_only[0] == "נ":
hebrew_only = hebrew_only[1:]
# Strip participle mem prefix
if conjugation in ("participle_active", "participle_passive"):
if len(hebrew_only) >= 4 and hebrew_only[0] == "מ":
hebrew_only = hebrew_only[1:]
elif pos == "noun":
# Strip common noun prefixes: מ (place/instrument nouns), ת (abstract nouns)
if len(hebrew_only) >= 4 and hebrew_only[0] in "מת":
pass # Don't strip by default for nouns — too aggressive
# Strip common suffixes
for suffix in ["ים", "ות", "ין", "תי", "תם", "תן", "נו"]:
if hebrew_only.endswith(suffix) and len(hebrew_only) - len(suffix) >= 2:
hebrew_only = hebrew_only[:-len(suffix)]
break
for suffix in ["ה", "ת", "ו", "י", "ך", "ם", "ן"]:
if hebrew_only.endswith(suffix) and len(hebrew_only) - 1 >= 3:
hebrew_only = hebrew_only[:-1]
break
if len(hebrew_only) == 3:
return hebrew_only
elif len(hebrew_only) == 2:
return hebrew_only
elif len(hebrew_only) > 3:
# Take first three as best guess
return hebrew_only[:3]
return hebrew_only if hebrew_only else None
def parse_verse(verse_elem, book_osis: str, book_hebrew: str) -> dict:
"""Parse a single verse element into the L1 JSON format."""
osis_id = verse_elem.get("osisID") # e.g., "Gen.1.1"
parts = osis_id.split(".")
chapter = int(parts[1])
verse_num = int(parts[2])
words = []
full_text_parts = []
word_position = 0
for elem in verse_elem:
tag = elem.tag.replace(f"{{{OSIS_NS}}}", "")
if tag == "w":
word_position += 1
word_data = parse_word(elem, word_position)
words.append(word_data)
# For text_hebrew, use the joined text (no / separators)
full_text_parts.append((elem.text or "").replace("/", ""))
elif tag == "seg":
seg_type = elem.get("type", "")
if seg_type == "x-sof-pasuq":
full_text_parts.append("׃")
elif seg_type == "x-maqqef":
full_text_parts.append("־")
elif seg_type == "x-paseq":
full_text_parts.append(" ׀ ")
# Also check for trailing <w> elements after seg (maqaf-joined words)
# Handle mixed content: seg followed by w within verse
if elem.tail and elem.tail.strip():
pass # tail text handled by next element
# Reconstruct full verse text
text_hebrew = " ".join(full_text_parts).strip()
# Clean up spacing around maqaf
text_hebrew = text_hebrew.replace(" ־ ", "־").replace(" ־", "־").replace("־ ", "־")
text_hebrew = re.sub(r"\s+", " ", text_hebrew).strip()
ref = f"{book_hebrew.capitalize()} {chapter}:{verse_num}"
return {
"ref": ref,
"book": book_hebrew,
"chapter": chapter,
"verse": verse_num,
"text_hebrew": text_hebrew,
"words": words,
}
def parse_word(w_elem, position: int) -> dict:
"""Parse a single <w> element into word data."""
raw_text = w_elem.text or ""
lemma_str = w_elem.get("lemma", "")
morph_str = w_elem.get("morph", "")
word_id = w_elem.get("id", "")
# Parse prefixes
prefixes, core_lemma, core_morph = parse_prefixes(lemma_str, morph_str)
# The displayed text includes prefix separators as /
# Remove the / for the display text but preserve for analysis
display_text = raw_text # Keep as-is with / markers
# Get text without prefix separators for the full word
joined_text = raw_text.replace("/", "")
# Get the word part (after last /) for the core word
text_parts = raw_text.split("/")
core_text = text_parts[-1] if text_parts else raw_text
# Extract consonantal text (strip everything but Hebrew letters)
consonants_full = strip_vowels_and_cantillation(joined_text)
consonants_core = strip_vowels_and_cantillation(core_text)
# Extract cantillation marks
teamim = extract_teamim(joined_text)
# Parse morphology
morph_info = parse_morph_code(core_morph)
# Derive shoresh
shoresh = derive_shoresh_from_word(consonants_core, morph_info)
# Build prefix string
prefix_str = "".join(prefixes) if prefixes else ""
word_data = {
"position": position,
"text": joined_text,
"consonants": consonants_full,
"lemma": core_lemma,
"morph": morph_str,
"teamim": teamim,
}
if prefix_str:
word_data["prefix"] = prefix_str
if shoresh:
word_data["shoresh"] = shoresh
return word_data
def parse_book(xml_path: str, book_osis: str, book_hebrew: str) -> list[dict]:
"""Parse an entire OSIS XML book file into verses."""
tree = ET.parse(xml_path)
root = tree.getroot()
verses = []
# Navigate: osis > osisText > div (book) > chapter > verse
for elem in root.iter(f"{{{OSIS_NS}}}verse"):
osis_id = elem.get("osisID", "")
if not osis_id.startswith(f"{book_osis}."):
continue
verse_data = parse_verse(elem, book_osis, book_hebrew)
verses.append(verse_data)
return verses
def build_l1(morphhb_dir: str, output_dir: str):
"""Build the complete L1 Torah filesystem."""
wlc_dir = os.path.join(morphhb_dir, "wlc")
torah_dir = os.path.join(output_dir, "torah")
total_verses = 0
total_words = 0
total_roots = set()
missing_teamim = []
failed_shoresh = []
book_stats = {}
print("=" * 60)
print("L1 TORAH FILESYSTEM BUILDER")
print("Bereishit bara Elohim et hashamayim v'et ha'aretz.")
print("=" * 60)
print()
for book_osis, book_hebrew in TORAH_BOOKS:
xml_path = os.path.join(wlc_dir, f"{book_osis}.xml")
if not os.path.exists(xml_path):
print(f"ERROR: {xml_path} not found!")
sys.exit(1)
print(f"Parsing {book_osis} ({book_hebrew})...", end=" ", flush=True)
verses = parse_book(xml_path, book_osis, book_hebrew)
# Organize by chapter
chapters = defaultdict(list)
for v in verses:
chapters[v["chapter"]].append(v)
book_dir = os.path.join(torah_dir, book_hebrew)
book_verse_count = 0
book_word_count = 0
chapter_info = {}
for chapter_num in sorted(chapters.keys()):
chapter_verses = chapters[chapter_num]
chapter_dir = os.path.join(book_dir, str(chapter_num))
os.makedirs(chapter_dir, exist_ok=True)
for verse_data in chapter_verses:
verse_num = verse_data["verse"]
verse_path = os.path.join(chapter_dir, f"{verse_num}.json")
with open(verse_path, "w", encoding="utf-8") as f:
json.dump(verse_data, f, ensure_ascii=False, indent=2)
book_verse_count += 1
total_verses += 1
# Count words and collect stats
for word in verse_data["words"]:
book_word_count += 1
total_words += 1
if word.get("shoresh"):
total_roots.add(word["shoresh"])
else:
# Only flag content words (not particles) as failed
morph_info = parse_morph_code(
word["morph"].split("/")[-1].lstrip("H") if word["morph"] else ""
)
if morph_info.get("pos") in ("verb", "noun", "adjective"):
failed_shoresh.append({
"ref": verse_data["ref"],
"word": word["text"],
"morph": word["morph"],
})
# Check for te'amim
verse_has_teamim = any(
len(w.get("teamim", [])) > 0 for w in verse_data["words"]
)
if not verse_has_teamim:
missing_teamim.append(verse_data["ref"])
chapter_info[chapter_num] = len(chapter_verses)
# Write book index
book_index = {
"book": book_hebrew,
"osis_id": book_osis,
"chapters": len(chapters),
"verses": book_verse_count,
"words": book_word_count,
"chapter_verse_counts": chapter_info,
}
index_path = os.path.join(book_dir, "index.json")
with open(index_path, "w", encoding="utf-8") as f:
json.dump(book_index, f, ensure_ascii=False, indent=2)
book_stats[book_hebrew] = book_index
print(f"{len(chapters)} chapters, {book_verse_count} verses, {book_word_count} words")
# Write master index
master_index = {
"name": "Torah",
"source": "Westminster Leningrad Codex (morphhb)",
"books": list(book_stats.values()),
"total_chapters": sum(b["chapters"] for b in book_stats.values()),
"total_verses": total_verses,
"total_words": total_words,
"unique_roots": len(total_roots),
}
master_path = os.path.join(torah_dir, "index.json")
with open(master_path, "w", encoding="utf-8") as f:
json.dump(master_index, f, ensure_ascii=False, indent=2)
# Generate SHA-256 integrity hash
print("\nGenerating integrity hash...")
sha256 = generate_integrity_hash(torah_dir)
hash_path = os.path.join(output_dir, "integrity.sha256")
with open(hash_path, "w") as f:
f.write(sha256)
# Print report
print()
print("=" * 60)
print("L1 BUILD REPORT")
print("=" * 60)
print(f"Total books: {len(TORAH_BOOKS)}")
print(f"Total chapters: {master_index['total_chapters']}")
print(f"Total verses: {total_verses}")
print(f"Total words: {total_words}")
print(f"Unique shoreshim: {len(total_roots)}")
print(f"Verses missing te'amim: {len(missing_teamim)}")
print(f"Content words missing shoresh: {len(failed_shoresh)}")
print(f"SHA-256: {sha256}")
print()
if missing_teamim:
print(f"Verses without te'amim ({len(missing_teamim)}):")
for ref in missing_teamim[:20]:
print(f" - {ref}")
if len(missing_teamim) > 20:
print(f" ... and {len(missing_teamim) - 20} more")
print()
if failed_shoresh:
print(f"Content words without shoresh ({len(failed_shoresh)}):")
for entry in failed_shoresh[:20]:
print(f" - {entry['ref']}: {entry['word']} ({entry['morph']})")
if len(failed_shoresh) > 20:
print(f" ... and {len(failed_shoresh) - 20} more")
print()
# Write the report as JSON too
report = {
"total_books": len(TORAH_BOOKS),
"total_chapters": master_index["total_chapters"],
"total_verses": total_verses,
"total_words": total_words,
"unique_shoreshim": len(total_roots),
"verses_missing_teamim": len(missing_teamim),
"content_words_missing_shoresh": len(failed_shoresh),
"sha256": sha256,
"missing_teamim_refs": missing_teamim,
"failed_shoresh_samples": failed_shoresh[:100],
}
report_path = os.path.join(output_dir, "build_report.json")
with open(report_path, "w", encoding="utf-8") as f:
json.dump(report, f, ensure_ascii=False, indent=2)
print(f"Report written to: {report_path}")
print(f"Master index: {master_path}")
print(f"Integrity hash: {hash_path}")
return report
def generate_integrity_hash(torah_dir: str) -> str:
"""Generate SHA-256 hash of the entire L1 Torah directory tree."""
sha256 = hashlib.sha256()
for root, dirs, files in sorted(os.walk(torah_dir)):
dirs.sort()
for filename in sorted(files):
filepath = os.path.join(root, filename)
rel_path = os.path.relpath(filepath, torah_dir)
# Hash the relative path
sha256.update(rel_path.encode("utf-8"))
# Hash the file contents
with open(filepath, "rb") as f:
while True:
chunk = f.read(8192)
if not chunk:
break
sha256.update(chunk)
return sha256.hexdigest()
if __name__ == "__main__":
# Paths relative to the shorashim repository
repo_root = Path(__file__).resolve().parent.parent.parent
morphhb_dir = repo_root / "data" / "morphhb"
output_dir = repo_root / "l1"
if not morphhb_dir.exists():
print(f"ERROR: morphhb not found at {morphhb_dir}")
print("Run: git clone https://github.com/openscriptures/morphhb.git data/morphhb")
sys.exit(1)
# Clean output directory
if output_dir.exists():
import shutil
shutil.rmtree(output_dir)
os.makedirs(output_dir, exist_ok=True)
report = build_l1(str(morphhb_dir), str(output_dir))
# Verify counts
print()
print("=" * 60)
print("VERIFICATION")
print("=" * 60)
expected_books = 5
expected_chapters = 187
# WLC/BHS versification gives 5853 (8 more than the traditional Masoretic
# count of 5845 due to verse numbering differences in Shemot, Bamidbar, Devarim)
expected_verses = 5853
checks = [
("Books", report["total_books"], expected_books),
("Chapters", report["total_chapters"], expected_chapters),
("Verses", report["total_verses"], expected_verses),
]
all_pass = True
for name, actual, expected in checks:
status = "PASS" if actual == expected else "FAIL"
if actual != expected:
all_pass = False
print(f" {name}: {actual} (expected {expected}) [{status}]")
te_amim_status = "PASS" if report["verses_missing_teamim"] == 0 else "WARN"
print(f" Te'amim coverage: {report['verses_missing_teamim']} missing [{te_amim_status}]")
print()
if all_pass:
print("The firmament is in place. The throne sits above it.")
else:
print("Verification incomplete. Review the report.")