feat: super early CAI dataset and module for testing
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import json
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import os
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import typing as t
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from dataclasses import dataclass
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import mashumaro
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from waifu.datasets import BaseDataset
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from waifu.utils.dataset import get_data_path
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@dataclass(frozen=True)
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class CaiBotInfo(mashumaro.DataClassDictMixin):
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name: str
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title: str
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description: str
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greeting: str
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@dataclass(frozen=True)
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class CaiChat:
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# First message is the bot's greeting, the one afterwards is the user.
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messages: t.List[str]
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bot_info: CaiBotInfo
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class CharacterAiDataset(BaseDataset[CaiChat]):
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'''Dataset for CharacterAI dumps.'''
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def generator(self) -> t.Generator[CaiChat, None, None]:
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for folder in _enumerate_bot_folders():
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info_path = os.path.join(folder, "info.json")
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histories_path = os.path.join(folder, "histories.json")
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with open(info_path, "r", encoding="utf-8") as info_file, \
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open(histories_path, "r", encoding="utf-8") as histories_file:
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info_json = json.load(info_file)
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histories_json = json.load(histories_file)
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bot_info = CaiBotInfo.from_dict(info_json["character"])
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for history_dict in histories_json["histories"]:
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messages = _messages_from_dict(history_dict["msgs"])
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yield CaiChat(bot_info=bot_info, messages=messages)
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#
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# Private helpers.
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#
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def _enumerate_bot_folders() -> list[str]:
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'''Returns a list of folders available in the CAI data folder.'''
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dataset_path = get_data_path(dataset_name="test_characterai_dumps")
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items = os.listdir(dataset_path)
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folders: list[str] = []
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for item in items:
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item_path = os.path.join(dataset_path, item)
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if os.path.isfile(item_path):
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# We only care about folders.
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continue
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absolute_folder_path = os.path.abspath(os.path.join(dataset_path, item))
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folders.append(absolute_folder_path)
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return folders
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def _messages_from_dict(msgs_dict: list[dict[str, t.Any]]) -> list[str]:
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'''Builds an array of messages from an entry from the `histories` JSON.'''
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messages: list[str] = []
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for raw_message in msgs_dict:
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messages.append(raw_message["text"])
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return messages
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@ -0,0 +1,25 @@
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import typing as t
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from waifu.datasets.characterai import CharacterAiDataset
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from waifu.modules import BaseModule
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USER_PREFIX = "You"
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class CharacterAiPDM(BaseModule):
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'''A Persona Dialogue Module powered by CharacterAI data.'''
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def generator(self) -> t.Generator[str, None, None]:
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for chat in CharacterAiDataset():
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description_string = f"{chat.bot_info.name}'s Description: {chat.bot_info.description}"
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# Empty turn to separate description from the messages.
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turns = [description_string, ""]
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for idx, raw_message in enumerate(chat.messages):
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if idx % 2 == 0:
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message = f"{chat.bot_info.name}: {raw_message}"
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else:
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message = f"{USER_PREFIX}: {raw_message}"
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turns.append(message)
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yield "\n".join(turns)
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@ -14,8 +14,9 @@ from waifu.modules import BaseModule
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# TODO(11b): Needs manual maintenance ot keep up-to-date. Consider doing some
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# TODO(11b): Needs manual maintenance ot keep up-to-date. Consider doing some
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# metaprogramming trickery to build this list out instead.
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# metaprogramming trickery to build this list out instead.
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DEFAULT_MODULE_LIST = [
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DEFAULT_MODULE_LIST = [
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"characterai_pdm:CharacterAiPDM",
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"kajiwoto_pdm:KajiwotoPDM",
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"kajiwoto_pdm:KajiwotoPDM",
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"kajiwoto_vdm:KajiwotoVDM",
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# "kajiwoto_vdm:KajiwotoVDM",
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"light_dialogue_vdm:LightDialogueVDM",
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"light_dialogue_vdm:LightDialogueVDM",
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]
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]
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DEFAULT_MODULES_STRING = ",".join(DEFAULT_MODULE_LIST)
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DEFAULT_MODULES_STRING = ",".join(DEFAULT_MODULE_LIST)
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