feat(rubick): rename project and add production release bundle

scripts/export_simple.py

@@ -0,0 +1,81 @@
+#!/usr/bin/env python3
+"""Simple table export from SQLite to JSON/CSV/XLSX."""
+
+import argparse
+import json
+import sqlite3
+from pathlib import Path
+
+import pandas as pd
+
+DEFAULT_TABLES = [
+    "stocks",
+    "price_history",
+    "ratios_history",
+    "news",
+    "sentiment_history",
+    "scrape_runs",
+    "scrape_progress",
+]
+
+
+def load_table(conn: sqlite3.Connection, table: str) -> pd.DataFrame:
+    return pd.read_sql_query(f"SELECT * FROM {table}", conn)
+
+
+def export_json(conn: sqlite3.Connection, outdir: Path, tables: list[str]) -> int:
+    outdir.mkdir(parents=True, exist_ok=True)
+    for table in tables:
+        df = load_table(conn, table)
+        data = json.loads(df.to_json(orient="records", date_format="iso"))
+        (outdir / f"{table}.json").write_text(json.dumps(data, indent=2), encoding="utf-8")
+    return 0
+
+
+def export_csv(conn: sqlite3.Connection, outdir: Path, tables: list[str]) -> int:
+    outdir.mkdir(parents=True, exist_ok=True)
+    for table in tables:
+        df = load_table(conn, table)
+        df.to_csv(outdir / f"{table}.csv", index=False)
+    return 0
+
+
+def export_xlsx(conn: sqlite3.Connection, outfile: Path, tables: list[str]) -> int:
+    outfile.parent.mkdir(parents=True, exist_ok=True)
+    with pd.ExcelWriter(outfile, engine="openpyxl") as writer:
+        for table in tables:
+            df = load_table(conn, table)
+            sheet = table[:31] if table else "sheet"
+            df.to_excel(writer, sheet_name=sheet, index=False)
+    return 0
+
+
+def main() -> int:
+    parser = argparse.ArgumentParser(description="Simple SQLite table exporter")
+    parser.add_argument("--db", required=True, help="SQLite database path")
+    parser.add_argument("--format", required=True, choices=["json", "csv", "xlsx"], help="Export format")
+    parser.add_argument("--output", "-o", required=True, help="Output path (dir for json/csv, file for xlsx)")
+    parser.add_argument("--tables", help="Comma-separated tables (default: common tables)")
+    args = parser.parse_args()
+
+    db_path = Path(args.db)
+    if not db_path.exists():
+        print(f"Error: Database not found: {db_path}")
+        return 1
+
+    tables = [t.strip() for t in args.tables.split(",")] if args.tables else DEFAULT_TABLES
+    tables = [t for t in tables if t]
+
+    conn = sqlite3.connect(db_path)
+    try:
+        if args.format == "json":
+            return export_json(conn, Path(args.output), tables)
+        if args.format == "csv":
+            return export_csv(conn, Path(args.output), tables)
+        return export_xlsx(conn, Path(args.output), tables)
+    finally:
+        conn.close()
+
+
+if __name__ == "__main__":
+    raise SystemExit(main())