From 482794473972a1265308fcb89069066483bbdda0 Mon Sep 17 00:00:00 2001
From: Starfall <us@starfall.systems>
Date: Wed, 7 Feb 2024 17:54:47 -0600
Subject: dropcalc: Median XL .txt parser

Was intended to eventually become a drop calculator. Might work for
other Diablo II mods without changes, I don't think there are any
MXL-specific fields involved in this.

Abandoned due to lack of organizational structure on the project and ...
creative differences with one of the lead devs.
---
 dropcalc/create_db.py | 69 +++++++++++++++++++++++++++++++++++++++++++++++++++
 1 file changed, 69 insertions(+)
 create mode 100755 dropcalc/create_db.py

(limited to 'dropcalc/create_db.py')

diff --git a/dropcalc/create_db.py b/dropcalc/create_db.py
new file mode 100755
index 0000000..be60fb6
--- /dev/null
+++ b/dropcalc/create_db.py
@@ -0,0 +1,69 @@
+#!/usr/bin/env python3
+
+import csv
+import mxl_types
+from argparse import ArgumentParser
+from pathlib import Path
+from sqlalchemy import create_engine, text
+from sqlalchemy.orm import Session
+
+
+def generate_tcs():
+	# TODO
+	# grab weapons, armor, misc? with spawnable=1 *and* who have itemtype with TreasureClass=1 (any itemtype? just direct?)
+	# qlvl 1-3 in weap3, 4-6 in weap6, 7-9 in weap9 ... 91-93 in weap93
+	# armo3 ... armo99
+	# vanilla has bow3 ... bow87 as well, unknown but probably based on the itemtype having Shoots and Quiver
+	# don't know if misc TCs are generated, neither median nor vanilla actually uses them if they are
+	pass
+
+
+def create_db(folder):
+	engine = create_engine("sqlite+pysqlite:///:memory:", echo=False)
+	mxl_types.BaseDAO.metadata.create_all(engine)
+
+	try1 = (Path(folder) / "Data" / "global" / "excel")
+	if try1.exists():
+		data_folder = try1
+	else:
+		data_folder = folder
+
+	types = [
+		mxl_types.ItemRatio,
+		mxl_types.ItemType,
+		mxl_types.Weapon,
+		mxl_types.Armor,
+		mxl_types.Misc,
+		mxl_types.UniqueItem,
+		mxl_types.SetItem,
+		mxl_types.TreasureClass,
+	]
+	for mytype in types:
+		file = data_folder / mytype.filename
+		with file.open(encoding='windows-1252') as csvfile, Session(engine) as session:
+			reader = csv.DictReader(csvfile, dialect='excel-tab')
+			for csv_row in reader:
+				db_row = mytype(csv_row)
+				if not db_row.is_valid():
+					continue
+				session.add(db_row)
+			session.commit()
+			count = session.scalar(text(f'select count(*) from {mytype.__tablename__}'))
+			print(f'Counted {count} {mytype.__tablename__}')
+
+
+def handle_args():
+	parser = ArgumentParser()
+	parser.add_argument('folder', help='Location of Median XL .txt files')
+	return parser.parse_args()
+
+
+def main():
+	args = handle_args()
+	create_db(args.folder)
+
+
+if __name__ == '__main__':
+	import sys
+
+	sys.exit(main())
-- 
cgit