52e65e208e
Major Content update for Stardew Valley, including the following features - Major performance improvements all across the Stardew Valley apworld, including a significant reduction in the test time - Randomized Farm Type - Bundles rework (Remixed Bundles and Missing Bundle!) - New Settings: * Shipsanity - Shipping individual items * Monstersanity - Slaying monsters * Cooksanity - Cooking individual recipes * Chefsanity - Learning individual recipes * Craftsanity - Crafting individual items - New Goals: * Protector of the Valley - Complete every monster slayer goal * Full Shipment - Ship every item * Craftmaster - Craft every item * Gourmet Chef - Cook every recipe * Legend - Earn 10 000 000g * Mystery of the Stardrops - Find every stardrop (Maguffin Hunt) * Allsanity - Complete every check in your slot - Building Shuffle: Cheaper options - Tool Shuffle: Cheaper options - Money rework - New traps - New isolated checks and items, including the farm cave, the movie theater, etc - Mod Support: SVE [Albrekka] - Mod Support: Distant Lands [Albrekka] - Mod Support: Hat Mouse Lacey [Albrekka] - Mod Support: Boarding House [Albrekka] Co-authored-by: Witchybun <elnendil@gmail.com> Co-authored-by: Witchybun <96719127+Witchybun@users.noreply.github.com> Co-authored-by: Jouramie <jouramie@hotmail.com> Co-authored-by: Alchav <59858495+Alchav@users.noreply.github.com>
90 lines
3.6 KiB
Python
90 lines
3.6 KiB
Python
"""Update data script
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This script can be used to assign new ids for the items and locations in the CSV file. It also regenerates the items
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based on the resource packs.
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To run the script, use `python -m worlds.stardew_valley.scripts.update_data` from the repository root.
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"""
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import csv
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import itertools
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from pathlib import Path
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from typing import List
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from worlds.stardew_valley import LocationData
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from worlds.stardew_valley.items import load_item_csv, Group, ItemData
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from worlds.stardew_valley.locations import load_location_csv, LocationTags
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RESOURCE_PACK_CODE_OFFSET = 5000
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script_folder = Path(__file__)
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def write_item_csv(items: List[ItemData]):
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with open((script_folder.parent.parent / "data/items.csv").resolve(), "w", newline="") as file:
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writer = csv.DictWriter(file, ["id", "name", "classification", "groups"])
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writer.writeheader()
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for item in items:
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item_dict = {
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"id": item.code_without_offset,
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"name": item.name,
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"classification": item.classification.name,
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"groups": ",".join(sorted(group.name for group in item.groups))
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}
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writer.writerow(item_dict)
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def write_location_csv(locations: List[LocationData]):
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with open((script_folder.parent.parent / "data/locations.csv").resolve(), "w", newline="") as file:
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write = csv.DictWriter(file, ["id", "region", "name", "tags", "mod_name"])
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write.writeheader()
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for location in locations:
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location_dict = {
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"id": location.code_without_offset,
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"name": location.name,
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"region": location.region,
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"tags": ",".join(sorted(group.name for group in location.tags)),
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"mod_name": location.mod_name
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}
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write.writerow(location_dict)
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if __name__ == "__main__":
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loaded_items = load_item_csv()
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item_counter = itertools.count(max(item.code_without_offset
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for item in loaded_items
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if Group.RESOURCE_PACK not in item.groups
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and item.code_without_offset is not None) + 1)
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resource_pack_counter = itertools.count(max(item.code_without_offset
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for item in loaded_items
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if Group.RESOURCE_PACK in item.groups
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and item.code_without_offset is not None) + 1)
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items_to_write = []
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for item in loaded_items:
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if item.code_without_offset is None:
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if Group.RESOURCE_PACK in item.groups:
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new_code = next(resource_pack_counter)
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else:
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new_code = next(item_counter)
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items_to_write.append(ItemData(new_code, item.name, item.classification, item.groups))
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continue
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items_to_write.append(item)
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write_item_csv(items_to_write)
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loaded_locations = load_location_csv()
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location_counter = itertools.count(max(location.code_without_offset
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for location in loaded_locations
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if location.code_without_offset is not None) + 1)
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locations_to_write = []
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for location in loaded_locations:
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if location.code_without_offset is None:
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locations_to_write.append(
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LocationData(next(location_counter), location.region, location.name, location.mod_name, location.tags))
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continue
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locations_to_write.append(location)
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write_location_csv(locations_to_write)
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