from pydantic import BaseModel, Field
from typing import Optional, List, Any, Dict
from datetime import datetime

# --- Auth Schemas ---
class LoginRequest(BaseModel):
    email: str
    password: str

class TokenResponse(BaseModel):
    access_token: str
    token_type: str = "bearer"
    user: Dict[str, Any]

class UserResponse(BaseModel):
    id: int
    email: str
    full_name: Optional[str]
    role: str
    is_active: bool
    created_at: datetime

    model_config = {"from_attributes": True}

# --- Client Schemas ---
class RegistrationCodeCreate(BaseModel):
    client_name_hint: Optional[str] = None
    expires_in_hours: int = 48

class RegistrationCodeResponse(BaseModel):
    id: int
    code: str
    expires_at: datetime
    client_name_hint: Optional[str]
    client_id: Optional[int] = None

class ClientRegisterRequest(BaseModel):
    registration_code: str
    name: str
    hostname: str
    os_info: Optional[str] = None
    agent_version: str = "1.0.0"

class ClientRegisterResponse(BaseModel):
    client_code: str
    device_id: str
    device_token: str
    name: str
    server_time: datetime

class ClientHeartbeatRequest(BaseModel):
    status: str = "ONLINE"  # ONLINE, OFFLINE, SYNCING, ERROR
    agent_version: Optional[str] = None
    ip_address: Optional[str] = None

class ClientUpdateRequest(BaseModel):
    alias: Optional[str] = None
    storage_quota_bytes: Optional[int] = None

class ClientResponse(BaseModel):
    id: int
    client_code: str
    name: str
    alias: Optional[str]
    hostname: Optional[str]
    os_info: Optional[str]
    ip_address: Optional[str]
    agent_version: str
    status: str
    storage_used_bytes: int
    storage_quota_bytes: int
    last_seen_at: Optional[datetime]
    last_backup_at: Optional[datetime]
    is_active: bool
    created_at: datetime

    model_config = {"from_attributes": True}

# --- Backup Job Schemas ---
class JobCreate(BaseModel):
    client_id: int
    name: str
    source_path: str
    file_patterns: str = "*.bak,*.mdf"
    schedule_cron: str = "0 2 * * *"
    keep_daily: int = 7
    keep_weekly: int = 4
    keep_monthly: int = 12
    min_stable_time_seconds: int = 60

class JobUpdate(BaseModel):
    name: Optional[str] = None
    source_path: Optional[str] = None
    file_patterns: Optional[str] = None
    schedule_cron: Optional[str] = None
    is_active: Optional[bool] = None
    keep_daily: Optional[int] = None
    keep_weekly: Optional[int] = None
    keep_monthly: Optional[int] = None
    min_stable_time_seconds: Optional[int] = None

class JobResponse(BaseModel):
    id: int
    job_code: str
    client_id: int
    name: str
    source_path: str
    file_patterns: str
    schedule_cron: str
    is_active: bool
    keep_daily: int
    keep_weekly: int
    keep_monthly: int
    min_stable_time_seconds: int
    status: str
    last_run_at: Optional[datetime]
    next_run_at: Optional[datetime]
    created_at: datetime

    model_config = {"from_attributes": True}

# --- Upload Session & Chunk Schemas ---
class UploadSessionInitRequest(BaseModel):
    filename: str
    file_size: int
    sha256: str
    chunk_size: int = 4 * 1024 * 1024
    job_id: Optional[int] = None

class UploadSessionInitResponse(BaseModel):
    session_code: str
    filename: str
    file_size: int
    chunk_size: int
    total_chunks: int
    received_chunks: List[int]
    status: str

class UploadSessionStatusResponse(BaseModel):
    session_code: str
    filename: str
    file_size: int
    chunk_size: int
    total_chunks: int
    received_chunks: List[int]
    missing_chunks: List[int]
    status: str
    progress_percent: float

class ChunkUploadResponse(BaseModel):
    chunk_index: int
    is_received: bool
    total_received: int
    total_chunks: int
    progress_percent: float

class UploadSessionCompleteResponse(BaseModel):
    session_code: str
    filename: str
    relative_path: str
    file_size: int
    sha256: str
    status: str
    completed_at: datetime

# --- Backup File Schemas ---
class BackupFileResponse(BaseModel):
    id: int
    client_id: int
    job_id: Optional[int]
    session_id: Optional[int]
    filename: str
    relative_path: str
    file_size: int
    sha256: str
    retention_tag: str
    is_active: bool
    created_at: datetime

    model_config = {"from_attributes": True}

# --- Event Log Schemas ---
class EventLogResponse(BaseModel):
    id: int
    timestamp: datetime
    event_type: str
    severity: str
    client_id: Optional[int]
    job_id: Optional[int]
    user_email: Optional[str]
    ip_address: Optional[str]
    message: str
    details_json: Optional[str]

    model_config = {"from_attributes": True}

# --- Dashboard & Storage Stats ---
class StorageStatsResponse(BaseModel):
    total_bytes: int
    used_bytes: int
    free_bytes: int
    usage_percent: float
    storage_root: str

class DashboardStatsResponse(BaseModel):
    total_clients: int
    online_clients: int
    offline_clients: int
    total_jobs: int
    backups_today_count: int
    backups_today_success: int
    backups_today_failed: int
    active_uploads_count: int
    storage: StorageStatsResponse

# --- System Settings Schemas ---
class SystemSettingsResponse(BaseModel):
    storage_root: str
    global_quota_gb: int
    default_client_quota_gb: int
    default_keep_daily: int
    default_keep_weekly: int
    default_keep_monthly: int

class SystemSettingsUpdate(BaseModel):
    storage_root: Optional[str] = None
    global_quota_gb: Optional[int] = None
    default_client_quota_gb: Optional[int] = None
    default_keep_daily: Optional[int] = None
    default_keep_weekly: Optional[int] = None
    default_keep_monthly: Optional[int] = None

class AgentJobRegister(BaseModel):
    name: str
    source_path: str
    file_patterns: str = "*.bak,*.mdf"
    schedule_cron: str = "daily"
    keep_daily: int = 7
    keep_weekly: int = 4
    keep_monthly: int = 12
    min_stable_time_seconds: int = 60