Spaces:
Running
Running
File size: 20,045 Bytes
a9a9428 163e18f a9a9428 163e18f a9a9428 163e18f a9a9428 163e18f a9a9428 163e18f a9a9428 163e18f a9a9428 163e18f a9a9428 163e18f a9a9428 163e18f a9a9428 163e18f a9a9428 163e18f a9a9428 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378 379 380 381 382 383 384 385 386 387 388 389 390 391 392 393 394 395 396 397 398 399 400 401 402 403 404 405 406 407 408 409 410 411 412 413 414 415 416 417 418 419 420 421 422 423 424 425 426 427 428 429 430 431 432 433 434 435 436 437 438 439 440 441 442 443 444 445 446 447 448 449 450 451 452 453 454 455 456 457 458 459 460 461 462 463 464 465 466 467 468 469 470 471 472 473 474 475 476 477 478 479 480 481 482 483 484 485 486 487 488 489 490 491 492 493 494 495 496 497 498 499 500 501 502 503 504 505 506 507 508 509 510 511 512 513 514 515 516 517 518 519 520 521 522 523 524 525 526 527 528 529 530 531 532 533 534 535 536 537 538 539 540 541 542 543 | import os
import sqlite3
import re
import threading
import time
from pathlib import Path
from contextlib import contextmanager
# SD_DB_DIR lets Docker users put the database in a mounted volume.
_db_dir = os.environ.get("SD_DB_DIR")
DB_PATH = (
Path(_db_dir) / "scripture_detector.db"
if _db_dir
else Path(__file__).resolve().parent / "scripture_detector.db"
)
# ββ cache-db (per-session in-memory) mode ββββββββββββββββββββββββββββββββββββ
# Enabled by SCRIPTURE_DETECTOR_CACHE_DB=1 (set by app.py when --cache-db is
# passed). Each browser session gets its own isolated SQLite :memory: database.
# Sessions are keyed by a UUID stored in the signed Flask session cookie and
# cleaned up after SESSION_TTL seconds of inactivity.
_CACHE_MODE: bool = os.environ.get("SCRIPTURE_DETECTOR_CACHE_DB", "") in ("1", "true", "yes")
SESSION_TTL: int = int(os.environ.get("SD_SESSION_TTL", "3600")) # default 1 hour
# Maps session_id β {conn, lock, last_used}
_sessions: dict[str, dict] = {}
_sessions_lock = threading.Lock()
# Thread-local holds the current session_id (set by app.py before_request hook)
session_local = threading.local()
_SCHEMA_SQL = """
CREATE TABLE IF NOT EXISTS sources (
id INTEGER PRIMARY KEY AUTOINCREMENT,
name TEXT NOT NULL,
text TEXT NOT NULL,
created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
updated_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
);
CREATE TABLE IF NOT EXISTS quotes (
id INTEGER PRIMARY KEY AUTOINCREMENT,
source_id INTEGER NOT NULL,
span_start INTEGER,
span_end INTEGER,
quote_text TEXT NOT NULL,
quote_type TEXT NOT NULL DEFAULT 'allusion'
CHECK(quote_type IN ('full','partial','paraphrase','allusion')),
created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
updated_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
FOREIGN KEY (source_id) REFERENCES sources(id) ON DELETE CASCADE
);
CREATE TABLE IF NOT EXISTS quote_references (
id INTEGER PRIMARY KEY AUTOINCREMENT,
quote_id INTEGER NOT NULL,
reference TEXT NOT NULL,
book_code TEXT,
FOREIGN KEY (quote_id) REFERENCES quotes(id) ON DELETE CASCADE
);
CREATE TABLE IF NOT EXISTS settings (
key TEXT PRIMARY KEY,
value TEXT NOT NULL
);
"""
def _new_session_conn() -> sqlite3.Connection:
"""Create a fresh in-memory SQLite connection with the full schema."""
conn = sqlite3.connect(":memory:", check_same_thread=False)
conn.row_factory = sqlite3.Row
conn.execute("PRAGMA foreign_keys = ON")
conn.executescript(_SCHEMA_SQL)
conn.commit()
return conn
def _get_session_entry(session_id: str) -> dict:
"""Return (and lazily create) the session entry for *session_id*."""
with _sessions_lock:
# Prune idle sessions
now = time.monotonic()
stale = [sid for sid, s in _sessions.items()
if now - s["last_used"] > SESSION_TTL]
for sid in stale:
try:
_sessions[sid]["conn"].close()
except Exception:
pass
del _sessions[sid]
if session_id not in _sessions:
_sessions[session_id] = {
"conn": _new_session_conn(),
"lock": threading.Lock(),
"last_used": now,
}
else:
_sessions[session_id]["last_used"] = now
return _sessions[session_id]
@contextmanager
def get_db():
if _CACHE_MODE:
sid = getattr(session_local, "session_id", None) or "anonymous"
entry = _get_session_entry(sid)
with entry["lock"]:
conn = entry["conn"]
try:
yield conn
conn.commit()
except Exception:
conn.rollback()
raise
else:
conn = sqlite3.connect(str(DB_PATH))
conn.row_factory = sqlite3.Row
conn.execute("PRAGMA foreign_keys = ON")
try:
yield conn
conn.commit()
except Exception:
conn.rollback()
raise
finally:
conn.close()
def init_db():
if _CACHE_MODE:
# In cache mode each session's schema is initialised when its
# connection is first created (_new_session_conn). Nothing to do here.
return
with get_db() as conn:
conn.executescript(_SCHEMA_SQL)
def extract_book_code(reference: str) -> str:
match = re.match(r"^([a-z0-9]+)_", reference.strip().lower())
return match.group(1) if match else ""
# ββ Sources ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
def create_source(name: str, text: str) -> int:
with get_db() as conn:
cur = conn.execute(
"INSERT INTO sources (name, text) VALUES (?, ?)", (name, text)
)
return cur.lastrowid
def get_source(source_id: int) -> dict | None:
with get_db() as conn:
row = conn.execute(
"SELECT * FROM sources WHERE id = ?", (source_id,)
).fetchone()
return dict(row) if row else None
def get_all_sources() -> list[dict]:
with get_db() as conn:
rows = conn.execute(
"""SELECT s.id, s.name, s.created_at, s.updated_at,
LENGTH(s.text) as text_length,
COUNT(q.id) as quote_count
FROM sources s
LEFT JOIN quotes q ON q.source_id = s.id
GROUP BY s.id
ORDER BY s.created_at DESC"""
).fetchall()
return [dict(r) for r in rows]
def delete_source(source_id: int):
with get_db() as conn:
conn.execute("DELETE FROM sources WHERE id = ?", (source_id,))
# ββ Quotes βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
def add_quote(
source_id: int,
span_start: int | None,
span_end: int | None,
quote_text: str,
quote_type: str,
references: list[str],
) -> int:
with get_db() as conn:
cur = conn.execute(
"""INSERT INTO quotes (source_id, span_start, span_end, quote_text, quote_type)
VALUES (?, ?, ?, ?, ?)""",
(source_id, span_start, span_end, quote_text, quote_type),
)
quote_id = cur.lastrowid
for ref in references:
ref_clean = ref.strip().lower()
book = extract_book_code(ref_clean)
conn.execute(
"INSERT INTO quote_references (quote_id, reference, book_code) VALUES (?, ?, ?)",
(quote_id, ref_clean, book),
)
return quote_id
def update_quote(
quote_id: int,
quote_text: str = None,
quote_type: str = None,
span_start: int = None,
span_end: int = None,
references: list[str] = None,
):
with get_db() as conn:
if quote_text is not None:
conn.execute(
"UPDATE quotes SET quote_text=?, updated_at=CURRENT_TIMESTAMP WHERE id=?",
(quote_text, quote_id),
)
if quote_type is not None:
conn.execute(
"UPDATE quotes SET quote_type=?, updated_at=CURRENT_TIMESTAMP WHERE id=?",
(quote_type, quote_id),
)
if span_start is not None:
conn.execute(
"UPDATE quotes SET span_start=?, updated_at=CURRENT_TIMESTAMP WHERE id=?",
(span_start, quote_id),
)
if span_end is not None:
conn.execute(
"UPDATE quotes SET span_end=?, updated_at=CURRENT_TIMESTAMP WHERE id=?",
(span_end, quote_id),
)
if references is not None:
conn.execute("DELETE FROM quote_references WHERE quote_id=?", (quote_id,))
for ref in references:
ref_clean = ref.strip().lower()
book = extract_book_code(ref_clean)
conn.execute(
"INSERT INTO quote_references (quote_id, reference, book_code) VALUES (?, ?, ?)",
(quote_id, ref_clean, book),
)
def delete_quote(quote_id: int):
with get_db() as conn:
conn.execute("DELETE FROM quotes WHERE id = ?", (quote_id,))
def get_quotes_for_source(source_id: int) -> list[dict]:
with get_db() as conn:
quotes = conn.execute(
"SELECT * FROM quotes WHERE source_id = ? ORDER BY span_start",
(source_id,),
).fetchall()
result = []
for q in quotes:
qd = dict(q)
refs = conn.execute(
"SELECT reference, book_code FROM quote_references WHERE quote_id = ?",
(q["id"],),
).fetchall()
qd["references"] = [dict(r) for r in refs]
result.append(qd)
return result
def delete_quotes_for_source(source_id: int):
with get_db() as conn:
conn.execute("DELETE FROM quotes WHERE source_id = ?", (source_id,))
def delete_quotes_in_range(source_id: int, start: int, end: int):
with get_db() as conn:
conn.execute(
"""DELETE FROM quotes WHERE source_id = ?
AND span_start IS NOT NULL AND span_end IS NOT NULL
AND NOT (span_end <= ? OR span_start >= ?)""",
(source_id, start, end),
)
# ββ Settings βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
def get_setting(key: str, default: str = None) -> str | None:
with get_db() as conn:
row = conn.execute("SELECT value FROM settings WHERE key=?", (key,)).fetchone()
return row["value"] if row else default
def set_setting(key: str, value: str):
with get_db() as conn:
conn.execute(
"INSERT INTO settings (key, value) VALUES (?, ?) "
"ON CONFLICT(key) DO UPDATE SET value=excluded.value",
(key, value),
)
def get_all_settings() -> dict:
with get_db() as conn:
rows = conn.execute("SELECT key, value FROM settings").fetchall()
return {r["key"]: r["value"] for r in rows}
# ββ Analytics ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
def get_book_distribution(source_id: int = None) -> list[dict]:
with get_db() as conn:
if source_id:
rows = conn.execute(
"""SELECT qr.book_code, COUNT(*) as count
FROM quote_references qr
JOIN quotes q ON qr.quote_id = q.id
WHERE q.source_id = ? AND qr.book_code != ''
GROUP BY qr.book_code ORDER BY count DESC""",
(source_id,),
).fetchall()
else:
rows = conn.execute(
"""SELECT qr.book_code, COUNT(*) as count
FROM quote_references qr
JOIN quotes q ON qr.quote_id = q.id
WHERE qr.book_code != ''
GROUP BY qr.book_code ORDER BY count DESC"""
).fetchall()
return [dict(r) for r in rows]
def get_quote_type_distribution(source_id: int = None) -> dict:
with get_db() as conn:
if source_id:
rows = conn.execute(
"SELECT quote_type, COUNT(*) as count FROM quotes WHERE source_id=? GROUP BY quote_type",
(source_id,),
).fetchall()
else:
rows = conn.execute(
"SELECT quote_type, COUNT(*) as count FROM quotes GROUP BY quote_type"
).fetchall()
return {r["quote_type"]: r["count"] for r in rows}
def search_sources(filters: list[dict], logic: str = "AND") -> dict:
"""
Search sources by text content and/or scripture references.
filters: list of dicts, each with:
- type: 'text' | 'book' | 'chapter' | 'verse'
- value: the query string (already lowercased by caller)
logic: 'AND' (source must match all filters) |
'OR' (source must match any filter)
Returns {'total': int, 'results': [enriched source dicts]}
"""
valid = [f for f in filters if f.get("value", "").strip()]
if not valid:
return {"total": 0, "results": []}
with get_db() as conn:
# --- per-filter: map source_id β list of evidence dicts ---------------
filter_evidence: list[dict[int, list[dict]]] = []
for f in valid:
ftype = f["type"]
fval = f["value"].strip().lower()
ev: dict[int, list[dict]] = {}
if ftype == "text":
rows = conn.execute(
"SELECT id, name, text FROM sources "
"WHERE lower(text) LIKE ? OR lower(name) LIKE ?",
[f"%{fval}%", f"%{fval}%"],
).fetchall()
for r in rows:
full = r["text"]
idx = full.lower().find(fval)
if idx >= 0:
s0 = max(0, idx - 100)
s1 = min(len(full), idx + len(fval) + 100)
pre = ("β¦" if s0 > 0 else "")
post = ("β¦" if s1 < len(full) else "")
snippet = pre + full[s0:s1] + post
else:
# Query matched the source name, not the text body
snippet = r["name"]
ev[r["id"]] = ev.get(r["id"], [])
ev[r["id"]].append({
"kind": "text", "snippet": snippet,
"query": f["value"], "offset": idx,
})
elif ftype == "book":
rows = conn.execute(
"""SELECT DISTINCT q.source_id,
qr.reference, q.quote_text, q.quote_type
FROM quotes q
JOIN quote_references qr ON qr.quote_id = q.id
WHERE qr.book_code = ?""",
[fval],
).fetchall()
for r in rows:
sid = r["source_id"]
ev.setdefault(sid, [])
ev[sid].append({
"kind": "ref", "reference": r["reference"],
"quote_text": r["quote_text"][:120],
"quote_type": r["quote_type"],
})
elif ftype == "chapter":
# fval is e.g. "gen_1"
rows = conn.execute(
"""SELECT DISTINCT q.source_id,
qr.reference, q.quote_text, q.quote_type
FROM quotes q
JOIN quote_references qr ON qr.quote_id = q.id
WHERE qr.reference LIKE ?""",
[f"{fval}:%"],
).fetchall()
for r in rows:
sid = r["source_id"]
ev.setdefault(sid, [])
ev[sid].append({
"kind": "ref", "reference": r["reference"],
"quote_text": r["quote_text"][:120],
"quote_type": r["quote_type"],
})
elif ftype == "verse":
# fval is e.g. "gen_1:1"
rows = conn.execute(
"""SELECT DISTINCT q.source_id,
qr.reference, q.quote_text, q.quote_type
FROM quotes q
JOIN quote_references qr ON qr.quote_id = q.id
WHERE qr.reference = ?""",
[fval],
).fetchall()
for r in rows:
sid = r["source_id"]
ev.setdefault(sid, [])
ev[sid].append({
"kind": "ref", "reference": r["reference"],
"quote_text": r["quote_text"][:120],
"quote_type": r["quote_type"],
})
filter_evidence.append(ev)
# --- combine filter result sets ---------------------------------------
id_sets = [set(ev.keys()) for ev in filter_evidence]
if logic == "AND":
matching: set[int] = id_sets[0]
for s in id_sets[1:]:
matching &= s
else:
matching = set()
for s in id_sets:
matching |= s
if not matching:
return {"total": 0, "results": []}
# --- fetch source rows with aggregate stats --------------------------
placeholders = ",".join("?" * len(matching))
src_rows = conn.execute(
f"""SELECT s.id, s.name, s.created_at,
COUNT(q.id) as quote_count
FROM sources s
LEFT JOIN quotes q ON q.source_id = s.id
WHERE s.id IN ({placeholders})
GROUP BY s.id ORDER BY s.created_at DESC""",
list(matching),
).fetchall()
results = []
for src in src_rows:
sd = dict(src)
# type distribution
td_rows = conn.execute(
"SELECT quote_type, COUNT(*) as c FROM quotes "
"WHERE source_id=? GROUP BY quote_type",
[sd["id"]],
).fetchall()
sd["type_distribution"] = {r["quote_type"]: r["c"] for r in td_rows}
# book distribution (top 5)
bd_rows = conn.execute(
"""SELECT qr.book_code, COUNT(*) as count
FROM quote_references qr
JOIN quotes q ON qr.quote_id = q.id
WHERE q.source_id = ? AND qr.book_code != ''
GROUP BY qr.book_code ORDER BY count DESC LIMIT 5""",
[sd["id"]],
).fetchall()
sd["book_distribution"] = [dict(r) for r in bd_rows]
# aggregate evidence from all matching filters, deduplicate refs
all_ev: list[dict] = []
seen_refs: set[str] = set()
for ev in filter_evidence:
if sd["id"] in ev:
for item in ev[sd["id"]]:
if item["kind"] == "ref":
key = item["reference"]
if key in seen_refs:
continue
seen_refs.add(key)
all_ev.append(item)
sd["match_evidence"] = all_ev[:10]
results.append(sd)
return {"total": len(results), "results": results}
def get_dashboard_data() -> dict:
with get_db() as conn:
source_count = conn.execute("SELECT COUNT(*) as c FROM sources").fetchone()["c"]
quote_count = conn.execute("SELECT COUNT(*) as c FROM quotes").fetchone()["c"]
ref_count = conn.execute("SELECT COUNT(*) as c FROM quote_references").fetchone()["c"]
sources = conn.execute(
"""SELECT s.id, s.name, s.created_at,
COUNT(q.id) as quote_count
FROM sources s
LEFT JOIN quotes q ON q.source_id = s.id
GROUP BY s.id ORDER BY s.created_at DESC"""
).fetchall()
return {
"source_count": source_count,
"quote_count": quote_count,
"reference_count": ref_count,
"sources": [dict(s) for s in sources],
}
|