koko210Serve
979217e7cc
Split 3,598-line api.py into thin orchestrator (128 lines) + 19 route modules in bot/routes/: core.py (7 routes), mood.py (10), language.py (3), evil_mode.py (6), bipolar_mode.py (9), gpu.py (2), bot_actions.py (4), autonomous.py (13), profile_picture.py (26), manual_send.py (3), servers.py (6), figurines.py (5), dms.py (18), image_generation.py (4), chat.py (1), config.py (7), logging_config.py (9), voice.py (3), memory.py (10) All 146 routes verified present via test_route_split.py (149 tests). 21/21 regression tests (test_config_state.py) pass. Monolith backup: bot/api_monolith_backup.py (revert: cp it to api.py).
101 lines
2.2 KiB
Python
101 lines
2.2 KiB
Python
"""Shared Pydantic request/response models used across route modules."""
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from typing import List, Optional
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from pydantic import BaseModel
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class MoodSetRequest(BaseModel):
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mood: str
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class ConversationResetRequest(BaseModel):
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user_id: str
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class CustomPromptRequest(BaseModel):
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prompt: str
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class ServerConfigRequest(BaseModel):
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guild_id: int
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guild_name: str
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autonomous_channel_id: int
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autonomous_channel_name: str
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bedtime_channel_ids: List[int] = None
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enabled_features: List[str] = None
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class EvilMoodSetRequest(BaseModel):
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mood: str
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class LogConfigUpdateRequest(BaseModel):
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component: Optional[str] = None
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enabled: Optional[bool] = None
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enabled_levels: Optional[List[str]] = None
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class LogFilterUpdateRequest(BaseModel):
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exclude_paths: Optional[List[str]] = None
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exclude_status: Optional[List[int]] = None
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include_slow_requests: Optional[bool] = True
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slow_threshold_ms: Optional[int] = 1000
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class BipolarTriggerRequest(BaseModel):
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channel_id: str # String to handle large Discord IDs from JS
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message_id: str = None # Optional: starting message ID (string)
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context: str = ""
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class ManualCropRequest(BaseModel):
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x: int
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y: int
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width: int
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height: int
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class DescriptionUpdateRequest(BaseModel):
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description: str
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class AlbumCropRequest(BaseModel):
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x: int
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y: int
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width: int
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height: int
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class AlbumDescriptionRequest(BaseModel):
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description: str
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class BulkDeleteRequest(BaseModel):
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entry_ids: List[str]
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class ChatMessage(BaseModel):
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message: str
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model_type: str = "text" # "text" or "vision"
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use_system_prompt: bool = True
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image_data: Optional[str] = None # Base64 encoded image for vision model
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conversation_history: Optional[List[dict]] = None # Previous messages in conversation
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mood: str = "neutral" # Miku's mood for this conversation
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class MemoryDeleteRequest(BaseModel):
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confirmation: str
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class MemoryEditRequest(BaseModel):
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content: str
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metadata: Optional[dict] = None
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class MemoryCreateRequest(BaseModel):
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content: str
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collection: str # 'declarative' or 'episodic'
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user_id: Optional[str] = None
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source: Optional[str] = None
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metadata: Optional[dict] = None
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