fez5587andClaude Sonnet 5.5
fee8ded52d
Starts from upstream 54cc5e9. Cards reach the simulator with type and text (filled from the Scryfall bulk DB) and the right quantities; the LLM engine asks several questions per turn and with reasoning off; Moxfield and Archidekt deck links work in every import and card names resolve locally; deck builds are fitted to the commander's colour identity; Scryfall format/User-Agent/429 handling fixed; coach init fixed. See FARMHOUSE-CHANGES.md.
Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_016Er49soaMyG7Yburq57PeB
379 lines
13 KiB
Python
379 lines
13 KiB
Python
"""
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services/scryfall_bulk.py
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=========================
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Downloads and indexes the full Scryfall `default_cards` bulk export into a
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local SQLite database with FTS5 full-text search over card names and oracle
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text. This replaces per-card live Scryfall API calls for the RAG pipeline.
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Usage (one-time or nightly):
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from services.scryfall_bulk import ensure_bulk_db
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ensure_bulk_db() # call at startup; no-ops if data is fresh
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Public API:
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ensure_bulk_db() -> None (download if stale)
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lookup_card(name) -> dict | None
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search_oracle(query, colors, limit) -> list[dict]
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get_bulk_db() -> sqlite3.Connection
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Data path: ./data/scryfall_bulk.db
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Re-download: every SCRYFALL_BULK_STALENESS_DAYS days (default 7)
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"""
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from __future__ import annotations
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import json
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import logging
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import os
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import sqlite3
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import threading
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import time
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from pathlib import Path
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from urllib.request import Request, urlopen
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logger = logging.getLogger("commander_ai_lab.scryfall_bulk")
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# ── Config ──────────────────────────────────────────────────────────────────
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BULK_DB_PATH = Path(__file__).parent.parent / "data" / "scryfall_bulk.db"
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BULK_META_URL = "https://api.scryfall.com/bulk-data"
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SCRYFALL_BULK_STALENESS_DAYS = int(
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os.environ.get("SCRYFALL_BULK_STALENESS_DAYS", "7")
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)
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_API_HEADERS = {"User-Agent": "CommanderAILab/3.0", "Accept": "application/json"}
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# ── Module-level singletons ──────────────────────────────────────────────────
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_bulk_conn: sqlite3.Connection | None = None
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_bulk_lock = threading.Lock()
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# ── DB init ──────────────────────────────────────────────────────────────────
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def _init_db(conn: sqlite3.Connection) -> None:
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"""Create tables and FTS5 virtual table on first run."""
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conn.execute("PRAGMA journal_mode=WAL")
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conn.execute("PRAGMA synchronous=NORMAL")
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conn.executescript("""
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CREATE TABLE IF NOT EXISTS cards (
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scryfall_id TEXT PRIMARY KEY,
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name TEXT NOT NULL,
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oracle_text TEXT DEFAULT '',
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type_line TEXT DEFAULT '',
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mana_cost TEXT DEFAULT '',
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cmc REAL DEFAULT 0,
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color_identity TEXT DEFAULT '[]',
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keywords TEXT DEFAULT '[]',
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power TEXT DEFAULT '',
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toughness TEXT DEFAULT '',
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rarity TEXT DEFAULT '',
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edhrec_rank INTEGER DEFAULT 0,
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legalities TEXT DEFAULT '{}',
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rulings_uri TEXT DEFAULT '',
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set_code TEXT DEFAULT '',
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updated_at TEXT DEFAULT (datetime('now'))
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);
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CREATE VIRTUAL TABLE IF NOT EXISTS cards_fts USING fts5(
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name,
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oracle_text,
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content='cards',
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content_rowid='rowid'
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);
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CREATE TABLE IF NOT EXISTS meta (
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key TEXT PRIMARY KEY,
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value TEXT NOT NULL
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);
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""")
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conn.commit()
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# ── Staleness check ───────────────────────────────────────────────────────────
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def _is_stale(conn: sqlite3.Connection) -> bool:
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row = conn.execute(
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"SELECT value FROM meta WHERE key = 'last_download'"
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).fetchone()
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if not row:
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return True
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try:
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age_days = (time.time() - float(row[0])) / 86400
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return age_days > SCRYFALL_BULK_STALENESS_DAYS
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except (ValueError, TypeError):
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return True
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# ── Download + index ──────────────────────────────────────────────────────────
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def _get_bulk_download_url() -> str:
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"""Fetch the current default_cards download URL from the Scryfall manifest."""
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req = Request(BULK_META_URL, headers=_API_HEADERS)
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with urlopen(req, timeout=15) as resp:
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meta = json.loads(resp.read())
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for entry in meta.get("data", []):
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if entry.get("type") == "default_cards":
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return entry.get("jsonl_download_uri") or entry["download_uri"] # FARMHOUSE_SCRYFALL_URL_V1
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raise RuntimeError("Could not find default_cards entry in Scryfall bulk-data manifest")
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def _download_and_index(conn: sqlite3.Connection) -> int:
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"""
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Download the full default_cards JSON from Scryfall and index into SQLite.
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Replaces all existing rows. Returns number of cards indexed.
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"""
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logger.info("Fetching Scryfall bulk-data manifest...")
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url = _get_bulk_download_url()
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logger.info("Downloading Scryfall default_cards bulk export (~100 MB)...")
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req = Request(url, headers=_API_HEADERS) # FARMHOUSE_SCRYFALL_JSONL_V1
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_resp = urlopen(req, timeout=300)
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def _cards_stream():
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import gzip
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stream = gzip.GzipFile(fileobj=_resp) if url.split("?")[0].endswith(".gz") else _resp
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for _line in stream:
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_line = _line.strip().rstrip(b",")
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if _line and _line not in (b"[", b"]"):
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yield json.loads(_line)
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cards_json = _cards_stream()
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# Wipe existing data for a clean rebuild
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conn.execute("DELETE FROM cards")
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conn.execute("DELETE FROM cards_fts")
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conn.commit()
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BATCH_SIZE = 1000
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inserted = 0
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batch: list[tuple] = []
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_SKIP_LAYOUTS = {"token", "emblem", "art_series", "double_faced_token"}
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for card in cards_json:
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if card.get("layout") in _SKIP_LAYOUTS:
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continue
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# Handle double-faced / meld cards: concatenate face oracle texts
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oracle = card.get("oracle_text", "")
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if not oracle and card.get("card_faces"):
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oracle = "\n//\n".join(
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f.get("oracle_text", "")
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for f in card["card_faces"]
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if f.get("oracle_text")
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)
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mana_cost = card.get("mana_cost", "")
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if not mana_cost and card.get("card_faces"):
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mana_cost = card["card_faces"][0].get("mana_cost", "")
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batch.append((
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card.get("id", ""),
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card.get("name", ""),
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oracle,
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card.get("type_line", ""),
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mana_cost,
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float(card.get("cmc") or 0),
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json.dumps(card.get("color_identity", [])),
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json.dumps(card.get("keywords", [])),
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card.get("power", "") or "",
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card.get("toughness", "") or "",
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card.get("rarity", ""),
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int(card.get("edhrec_rank") or 0),
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json.dumps(card.get("legalities", {})),
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card.get("rulings_uri", "") or "",
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card.get("set", ""),
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))
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if len(batch) >= BATCH_SIZE:
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_flush_batch(conn, batch)
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inserted += len(batch)
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batch.clear()
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logger.debug(f" Indexed {inserted} cards...")
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if batch:
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_flush_batch(conn, batch)
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inserted += len(batch)
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# Rebuild FTS5 index from cards table
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conn.execute("INSERT INTO cards_fts(cards_fts) VALUES('rebuild')")
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# Record download timestamp
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conn.execute(
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"INSERT OR REPLACE INTO meta (key, value) VALUES ('last_download', ?)",
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(str(time.time()),)
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)
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conn.execute(
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"INSERT OR REPLACE INTO meta (key, value) VALUES ('card_count', ?)",
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(str(inserted),)
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)
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conn.commit()
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logger.info(f"Scryfall bulk index complete: {inserted} cards stored.")
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return inserted
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def _flush_batch(conn: sqlite3.Connection, batch: list[tuple]) -> None:
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conn.executemany(
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"""
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INSERT OR REPLACE INTO cards
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(scryfall_id, name, oracle_text, type_line, mana_cost, cmc,
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color_identity, keywords, power, toughness, rarity,
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edhrec_rank, legalities, rulings_uri, set_code)
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VALUES (?,?,?,?,?,?,?,?,?,?,?,?,?,?,?)
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""",
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batch,
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)
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conn.commit()
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# ── Public API ────────────────────────────────────────────────────────────────
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def get_bulk_db() -> sqlite3.Connection:
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"""
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Return the module-level SQLite connection, creating it on first call.
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Thread-safe via _bulk_lock.
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"""
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global _bulk_conn
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with _bulk_lock:
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if _bulk_conn is None:
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BULK_DB_PATH.parent.mkdir(parents=True, exist_ok=True)
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_bulk_conn = sqlite3.connect(
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str(BULK_DB_PATH), check_same_thread=False
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)
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_bulk_conn.row_factory = sqlite3.Row
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_init_db(_bulk_conn)
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return _bulk_conn
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def ensure_bulk_db() -> None:
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"""
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Call at startup. Downloads and indexes the full Scryfall card set if the
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local DB is missing or older than SCRYFALL_BULK_STALENESS_DAYS.
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No-ops if data is already fresh.
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"""
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conn = get_bulk_db()
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if _is_stale(conn):
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logger.info(
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"Scryfall bulk DB is stale or missing — downloading now "
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"(~100 MB, one-time per week)..."
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)
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try:
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_download_and_index(conn)
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except Exception as exc:
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logger.error(
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f"Scryfall bulk download failed: {exc}. "
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"Continuing without bulk data — per-card Scryfall cache will be used."
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)
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else:
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row = conn.execute(
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"SELECT value FROM meta WHERE key = 'card_count'"
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).fetchone()
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count = row[0] if row else "unknown"
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logger.info(f"Scryfall bulk DB is fresh ({count} cards cached).")
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def lookup_card(name: str) -> dict | None:
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"""
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Exact case-insensitive card name lookup.
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Returns a dict with all columns from the `cards` table, or None if not
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found. Prefers the most-recently-printed printing (lowest edhrec_rank).
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"""
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conn = get_bulk_db()
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row = conn.execute(
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"""
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SELECT * FROM cards
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WHERE LOWER(name) = LOWER(?)
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ORDER BY edhrec_rank ASC
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LIMIT 1
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""",
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(name,),
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).fetchone()
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return dict(row) if row else None
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def search_oracle(
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query: str,
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color_identity: list[str] | None = None,
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type_filter: str | None = None,
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limit: int = 10,
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) -> list[dict]:
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"""
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Full-text search over card names and oracle text using SQLite FTS5.
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Args:
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query: Natural language or keyword query string.
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color_identity: If provided, restrict results to cards whose color
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identity is a subset of this list (e.g. ['W', 'U']).
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type_filter: Optional type-line substring filter (e.g. 'Creature').
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limit: Maximum number of results to return.
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Returns:
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List of card dicts ordered by FTS5 relevance rank.
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"""
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conn = get_bulk_db()
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# Build FTS5 query: wrap each token in quotes to allow phrase matching
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tokens = [t.strip() for t in query.split() if t.strip()]
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if not tokens:
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return []
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fts_query = " OR ".join(f'"{t}"' for t in tokens)
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# Over-fetch to allow post-filtering by color/type
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fetch_limit = max(limit * 5, 50)
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rows = conn.execute(
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"""
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SELECT c.*
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FROM cards c
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JOIN cards_fts fts ON fts.rowid = c.rowid
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WHERE cards_fts MATCH ?
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ORDER BY rank
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LIMIT ?
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""",
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(fts_query, fetch_limit),
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).fetchall()
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results: list[dict] = []
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for row in rows:
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card = dict(row)
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# Color identity filter: card's CI must be a subset of deck's CI
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if color_identity:
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try:
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card_ci = set(json.loads(card.get("color_identity") or "[]"))
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except (json.JSONDecodeError, TypeError):
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card_ci = set()
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if not card_ci.issubset(set(color_identity)):
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continue
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# Optional type-line filter
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if type_filter:
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if type_filter.lower() not in (card.get("type_line") or "").lower():
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continue
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results.append(card)
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if len(results) >= limit:
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break
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return results
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def get_stats() -> dict:
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"""Return metadata about the current bulk DB state."""
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conn = get_bulk_db()
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rows = conn.execute("SELECT key, value FROM meta").fetchall()
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meta = {r["key"]: r["value"] for r in rows}
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card_count = conn.execute("SELECT COUNT(*) FROM cards").fetchone()[0]
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stale = _is_stale(conn)
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last_dl = meta.get("last_download")
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age_days: float | None = None
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if last_dl:
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try:
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age_days = round((time.time() - float(last_dl)) / 86400, 1)
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except (ValueError, TypeError):
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pass
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return {
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"card_count": card_count,
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"stale": stale,
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"age_days": age_days,
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"db_path": str(BULK_DB_PATH),
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"staleness_threshold_days": SCRYFALL_BULK_STALENESS_DAYS,
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}
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