from pydantic import BaseModel, Field
from typing import List, Optional, Dict, Union, Literal
from time import time

class ChatMessage(BaseModel):
    role: str
    content: str

class ChatCompletionRequest(BaseModel):
    model: str
    messages: List[ChatMessage]
    stream: bool = False

class ChatCompletionMessage(BaseModel):
    role: str = "assistant"
    content: str

class ChatCompletionChoice(BaseModel):
    index: int = 0
    message: ChatCompletionMessage
    logprobs: Optional[None] = None
    finish_reason: str = "stop"

class CompletionTokenDetails(BaseModel):
    reasoning_tokens: int = 0
    accepted_prediction_tokens: int = 0
    rejected_prediction_tokens: int = 0

class CompletionUsage(BaseModel):
    prompt_tokens: int = 9  # Placeholder values
    completion_tokens: int = 12
    total_tokens: int = 21
    completion_tokens_details: CompletionTokenDetails = Field(default_factory=CompletionTokenDetails)

class ChatCompletionResponse(BaseModel):
    id: str = Field(default="chatcmpl-123")
    object: str = "chat.completion"
    created: int = Field(default_factory=lambda: int(time()))
    model: str = "gpt-4o-mini"
    system_fingerprint: str = "fp_44709d6fcb"
    choices: List[ChatCompletionChoice]
    usage: CompletionUsage = Field(default_factory=CompletionUsage)

    @classmethod
    def from_response(cls, content: str, model: str = "gpt-4o-mini") -> "ChatCompletionResponse":
        """Create a ChatCompletionResponse from a simple response string"""
        return cls(
            model=model,
            choices=[
                ChatCompletionChoice(
                    message=ChatCompletionMessage(content=content)
                )
            ]
        )

class GenerateRequest(BaseModel):
    prompt: str
    system_message: Optional[str] = None
    max_new_tokens: Optional[int] = None

class EmbeddingRequest(BaseModel):
    text: str

class EmbeddingResponse(BaseModel):
    embedding: List[float]
    dimension: int

class SystemStatusResponse(BaseModel):
    """Pydantic model for system status response"""
    cpu: Optional[Dict[str, Union[float, str]]] = None
    memory: Optional[Dict[str, Union[float, str]]] = None
    gpu: Optional[Dict[str, Union[bool, str, float]]] = None
    storage: Optional[Dict[str, str]] = None
    model: Optional[Dict[str, Union[bool, str]]] = None

class ValidationResponse(BaseModel):
    config_validation: Dict[str, bool]
    model_validation: Dict[str, bool]
    folder_validation: Dict[str, bool]
    overall_status: str
    issues: List[str]