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from pydantic import BaseModel
from typing import List, Optional, Dict, Union, Any
# Request Models
class RenameClusterRequest(BaseModel):
cluster_name: str
# Response Models
class RenameClusterData(BaseModel):
cluster_id: str
cluster_name: str
class RenameClusterResponse(BaseModel):
success: bool
message: Optional[str] = None
error: Optional[str] = None
data: Optional[RenameClusterData] = None
class ErrorResponse(BaseModel):
success: bool = False
message: Optional[str] = None
error: Optional[str] = None
class ClusterMetadata(BaseModel):
cluster_id: str
cluster_name: Optional[str]
face_image_base64: Optional[str]
face_count: int
class GetClustersData(BaseModel):
clusters: List[ClusterMetadata]
class GetClustersResponse(BaseModel):
success: bool
message: Optional[str] = None
error: Optional[str] = None
data: Optional[GetClustersData] = None
class ImageInCluster(BaseModel):
"""Represents an image that contains faces from a specific cluster."""
id: str
path: str
thumbnailPath: Optional[str] = None
metadata: Optional[Dict[str, Any]] = None
face_id: int
confidence: Optional[float] = None
bbox: Optional[Dict[str, Union[int, float]]] = None
class GetClusterImagesData(BaseModel):
"""Data model for cluster images response."""
cluster_id: str
cluster_name: Optional[str] = None
images: List[ImageInCluster]
total_images: int
class GetClusterImagesResponse(BaseModel):
"""Response model for getting images in a cluster."""
success: bool
message: Optional[str] = None
error: Optional[str] = None
data: Optional[GetClusterImagesData] = None
class GlobalReclusterData(BaseModel):
clusters_created: Optional[int] = None
faces_skipped: Optional[int] = None
class GlobalReclusterResponse(BaseModel):
success: bool
message: Optional[str] = None
error: Optional[str] = None
data: Optional[GlobalReclusterData] = None