imetting_backend/app/models/models.py

from pydantic import BaseModel, EmailStr
from typing import Optional, Union, List
import datetime

class LoginRequest(BaseModel):
    username: str
    password: str

class LoginResponse(BaseModel):
    user_id: int
    username: str
    caption: str
    email: EmailStr
    token: str
    role_id: int

class RoleInfo(BaseModel):
    role_id: int
    role_name: str

class UserInfo(BaseModel):
    user_id: int
    username: str
    caption: str
    email: EmailStr
    created_at: datetime.datetime
    meetings_created: int
    meetings_attended: int
    role_id: int
    role_name: str

class UserListResponse(BaseModel):
    users: list[UserInfo]
    total: int

class CreateUserRequest(BaseModel):
    username: str
    password: Optional[str] = None
    caption: str
    email: EmailStr
    role_id: int

class UpdateUserRequest(BaseModel):
    username: Optional[str] = None
    caption: Optional[str] = None
    email: Optional[str] = None
    role_id: Optional[int] = None

class AttendeeInfo(BaseModel):
    user_id: int
    caption: str

class Tag(BaseModel):
    id: int
    name: str
    color: str

class TranscriptionTaskStatus(BaseModel):
    task_id: str
    status: str  # 'pending', 'processing', 'completed', 'failed'
    progress: int  # 0-100
    meeting_id: int
    created_at: Optional[str] = None
    updated_at: Optional[str] = None
    completed_at: Optional[str] = None
    error_message: Optional[str] = None

class Meeting(BaseModel):
    meeting_id: int
    title: str
    meeting_time: Optional[datetime.datetime]
    summary: Optional[str]
    created_at: datetime.datetime
    attendees: Union[List[str], List[AttendeeInfo]]  # Support both formats
    creator_id: int
    creator_username: str
    audio_file_path: Optional[str] = None
    transcription_status: Optional[TranscriptionTaskStatus] = None
    tags: Optional[List[Tag]] = []

class TranscriptSegment(BaseModel):
    segment_id: int
    meeting_id: int
    speaker_id: Optional[int] = None  # AI解析的原始结果
    speaker_tag: str
    start_time_ms: int
    end_time_ms: int
    text_content: str

class CreateMeetingRequest(BaseModel):
    user_id: int
    title: str
    meeting_time: Optional[datetime.datetime]
    attendee_ids: list[int]
    tags: Optional[str] = None

class UpdateMeetingRequest(BaseModel):
    title: str
    meeting_time: Optional[datetime.datetime]
    summary: Optional[str]
    attendee_ids: list[int]
    tags: Optional[str] = None

class SpeakerTagUpdateRequest(BaseModel):
    speaker_id: int  # 使用原始speaker_id（整数）
    new_tag: str

class BatchSpeakerTagUpdateRequest(BaseModel):
    updates: List[SpeakerTagUpdateRequest]

class TranscriptUpdateRequest(BaseModel):
    segment_id: int
    text_content: str

class BatchTranscriptUpdateRequest(BaseModel):
    updates: List[TranscriptUpdateRequest]

class PasswordChangeRequest(BaseModel):
    old_password: str
    new_password: str

class KnowledgeBase(BaseModel):
    kb_id: int
    title: str
    content: Optional[str] = None
    creator_id: int
    creator_caption: str # To show in the UI
    is_shared: bool
    source_meeting_ids: Optional[str] = None
    user_prompt: Optional[str] = None
    tags: Union[Optional[str], Optional[List[Tag]]] = None  # 支持字符串或Tag列表
    created_at: datetime.datetime
    updated_at: datetime.datetime
    source_meeting_count: Optional[int] = 0
    created_by_name: Optional[str] = None

class KnowledgeBaseTask(BaseModel):
    task_id: str
    user_id: int
    kb_id: int
    user_prompt: Optional[str] = None
    status: str
    progress: int
    error_message: Optional[str] = None
    created_at: datetime.datetime
    updated_at: datetime.datetime
    completed_at: Optional[datetime.datetime] = None

class CreateKnowledgeBaseRequest(BaseModel):
    title: Optional[str] = None  # 改为可选,后台自动生成
    is_shared: bool
    user_prompt: Optional[str] = None
    source_meeting_ids: Optional[str] = None
    tags: Optional[str] = None

class UpdateKnowledgeBaseRequest(BaseModel):
    title: str
    content: Optional[str] = None
    tags: Optional[str] = None

class KnowledgeBaseListResponse(BaseModel):
    kbs: List[KnowledgeBase]
    total: int

# 客户端下载相关模型
class ClientDownload(BaseModel):
    id: int
    platform_type: str  # 'mobile' or 'desktop'
    platform_name: str  # 'ios', 'android', 'windows', 'mac_intel', 'mac_m', 'linux'
    version: str
    version_code: int
    download_url: str
    file_size: Optional[int] = None
    release_notes: Optional[str] = None
    is_active: bool
    is_latest: bool
    min_system_version: Optional[str] = None
    created_at: datetime.datetime
    updated_at: datetime.datetime
    created_by: Optional[int] = None

class CreateClientDownloadRequest(BaseModel):
    platform_type: str
    platform_name: str
    version: str
    version_code: int
    download_url: str
    file_size: Optional[int] = None
    release_notes: Optional[str] = None
    is_active: bool = True
    is_latest: bool = False
    min_system_version: Optional[str] = None

class UpdateClientDownloadRequest(BaseModel):
    version: Optional[str] = None
    version_code: Optional[int] = None
    download_url: Optional[str] = None
    file_size: Optional[int] = None
    release_notes: Optional[str] = None
    is_active: Optional[bool] = None
    is_latest: Optional[bool] = None
    min_system_version: Optional[str] = None

class ClientDownloadListResponse(BaseModel):
    clients: List[ClientDownload]
    total: int

# 声纹采集相关模型
class VoiceprintInfo(BaseModel):
    vp_id: int
    user_id: int
    file_path: str
    file_size: Optional[int] = None
    duration_seconds: Optional[float] = None
    collected_at: datetime.datetime
    updated_at: datetime.datetime

class VoiceprintStatus(BaseModel):
    has_voiceprint: bool
    vp_id: Optional[int] = None
    file_path: Optional[str] = None
    duration_seconds: Optional[float] = None
    collected_at: Optional[datetime.datetime] = None

class VoiceprintTemplate(BaseModel):
    template_text: str
    duration_seconds: int
    sample_rate: int
    channels: int