from abc import ABC
from typing import Optional
from pydantic import BaseModel, Field


### DTO Definitions
class QuantizationConfig(ABC, BaseModel):
    pass
class ConvertRequest(ABC, BaseModel):
    hf_model_name: str
    hf_tokenizer_name: Optional[str] = Field(None, description="Hugging Face tokenizer name. Defaults to hf_model_name")
    hf_token: Optional[str] = Field(None, description="Hugging Face token for private models")
    hf_push_repo: Optional[str] = Field(None, description="Hugging Face repo to push the converted model. If not provided, the model will be downloaded only.")
### -------

### Quantization Configurations
class AWQQuantizationConfig(QuantizationConfig):
    zero_point: Optional[bool] = Field(True, description="Use zero point quantization")
    q_group_size: Optional[int] = Field(128, description="Quantization group size")
    w_bit: Optional[int] = Field(4, description="Weight bit")
    version: Optional[str] = Field("GEMM", description="Quantization version")

class GPTQQuantizationConfig(QuantizationConfig):
    pass

class GGUFQuantizationConfig(QuantizationConfig):
    pass
class AWQConvertionRequest(ConvertRequest):
    quantization_config: Optional[AWQQuantizationConfig] = Field(
        default_factory=lambda: AWQQuantizationConfig(),
        description="AWQ quantization configuration"
    )

class GPTQConvertionRequest(ConvertRequest):
    quantization_config: Optional[GPTQQuantizationConfig] = Field(
        default_factory=lambda: GPTQQuantizationConfig(),
        description="GPTQ quantization configuration"
    )

class GGUFConvertionRequest(ConvertRequest):
    quantization_config: Optional[GGUFQuantizationConfig] = Field(
        default_factory=lambda: GGUFQuantizationConfig(),
        description="GGUF quantization configuration"
    )
### -------