Library to parse BlazeAndCavesAdvancementsPack and Addons for it
Project description
BACAP_Parser
A Python library to parse BlazeAndCavesAdvancementsPack and its Addons
Requirements
- Python version 3.12 or higher
Installing
pip install
Configuration
To use the library, you first need to configure the parsing parameters, specifically the possible advancement types for each datapack and the list of these datapacks. Example configuration:
from pathlib import Path # All paths must be pathlib.Path classes
task = AdvType(name="task", frames="task", colors=Color("green"))
goal = AdvType(name="goal", frames="goal", colors=Color("#75E1FF"))
challenge = AdvType(name="challenge", frames="challenge", colors=Color("dark_purple"), hidden_color=constants.DEFAULT_BACAP_HIDDEN_COLOR) # Challenges can also be hidden, so configure default color for hidden advancement in BACAP
super_challenge = AdvType(name="super_challenge", frames="challenge", colors=Color("#FF2A2A"))
root = AdvType(name="root", frames=("task", "challenge"), colors=Color("#CCCCCC"))
milestone = AdvType(name="milestone", frames="goal", colors=Color("yellow"), tabs="bacap")
advancement_legend = AdvType(name="advancement_legend", frames="challenge", colors=Color("gold"), tabs="bacap")
manager = AdvTypeManager([task, goal, challenge, super_challenge, root, milestone, advancement_legend])
bacap = Datapack(name="bacap", path=Path("tests/test_datapacks/bacap"), adv_type_manager=manager, reward_namespace="bacap_rewards", technical_tabs="technical")
# You can use the one AdvTypeManager for many datapacks if they have the same advancement types
bacaped = Datapack(name="bacaped", path=Path("tests/test_datapacks/bacaped"), adv_type_manager=manager, reward_namespace="bacaped_rewards", technical_tabs="technical")
bacaped_hardcore = Datapack(name="bacaped_hardcore", path=Path("tests/test_datapacks/bacaped_hardcore"), adv_type_manager=manager, reward_namespace="bacaped_rewards", technical_tabs="technical")
parser = Parser(bacap, bacaped, bacaped_hardcore)
Examples
Get Advancements Data
bacap_advs: list[Advancement | TechnicalAdvancement | InvalidAdvancement] = parser.get_datapack("bacap").advancement_manager.filtered_list() # Get all advancements except technical and invalid
for adv in bacap_advs:
print(adv.title)
if adv.type.name == "super_challenge":
print(adv.description)
if adv.type.name == "milestone":
print(adv.criteria_list)
- Note: Each datapack has its own
advancement_manager
Filtering
There are three ways to filter advancements.
filtered_iterator allows searching while ignoring or keeping technical advancements, invalid advancements, and normal advancements.
manager: AdvancementManager = parser.get_datapack("bacap").advancement_manager
only_technical: Iterator[TechincalAdvancement] = manager.filtered_iterator(skip_normal=True, skip_invalid=True, skip_technical=True)
find provides a more flexible setup with the ability to pass filtering parameters.
manager: AdvancementManager = parser.get_datapack("bacap").advancement_manager
parent = manager.find(criteria={"mc_path": adv.parent}, skip_technical=False, skip_invalid=False, limit=1)[0]
deep_find differs from find in three key ways:
- Support for nested attributes.
- Ability to use functions as criteria values.
- Checks for partial matches.
manager = parser.get_datapack("bacap").advancement_manager
advs_with_item_rewards = [adv for adv in manager.deep_find({"reward": lambda reward: bool(trophy)})]
Get trophy with description, item color and components
manager = parser.get_datapack("bacap").advancement_manager
advancements = manager.deep_find(
{"trophy": lambda trophy: bool(trophy)})
random_advancement: Advancement = random.choice(advancements) # Get random advancement class
trophy = random_advancement.trophy # Trophy of the advancement
trophy_item: TrophyItem = trophy.item # Item id of the trophy
description: str = trophy.item.description # String with trophy description
name_color: Color = trophy.item.color # Color class of the trophy color
Get HEX/RGB/INT color codes from Minecraft Text Colors
color = Color('light_purple') # Will be converted to HEX representation
rgb_c: tuple[int, int, int] = color.as_rgb # RGB representation of the color
int_c: int = color.as_int # Integer representation of the color
# The Color class also provides static methods for converting between these color storage types.
clr = (100, 150, 200)
new_clr = Color.rgb_to_int(clr) # Will return an Integer representation of RGB color
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