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## What is this fixing or adding? Major content update for Stardew Valley ## How was this tested? One large-scale public Beta on the archipelago server, plus several smaller private asyncs and test runs You can go to https://github.com/agilbert1412/StardewArchipelago/releases to grab the mod (latest 4.x.x version), the supported mods and the apworld, to test this PR ## New Features: - Festival Checks [Easy mode or Hard Mode] - Special Orders [Both Board and Qi] - Willy's Boat - Ginger Island Parrots - TV Channels - Trap Items [Available in various difficulty levels] - Entrance Randomizer: Buildings and Chaos - New Fishsanity options: Exclude Legendaries, Exclude Hard fish, Only easy fish - Resource Pack overhaul [Resource packs are now more enjoyable and varied] - Goal: Greatest Walnut Hunter [Find every single Golden Walnut] - Goal: Perfection [Achieve Perfection] - Option: Profit Margin [Multiplier over all earnings] - Option: Friendsanity Heart Size [Reduce clutter from friendsanity hearts] - Option: Exclude Ginger Island - will exclude many locations and items to generate a playthrough that does not go to the island - Mod Support [Curated list of mods] ## New Contributors: @Witchybun for the mod support --------- Co-authored-by: Witchybun <embenham05@gmail.com> Co-authored-by: Exempt-Medic <60412657+Exempt-Medic@users.noreply.github.com> Co-authored-by: Fabian Dill <Berserker66@users.noreply.github.com>
90 lines
3.5 KiB
Python
90 lines
3.5 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
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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"])
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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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}
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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.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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