"""Data History Log Router"""
from fastapi import APIRouter, UploadFile, File
from pydantic import BaseModel
from typing import Optional
from datetime import datetime

router = APIRouter()


class DataVersion(BaseModel):
    id: str
    filename: str
    hash: str  # SHA-256
    size_bytes: int
    row_count: int
    column_count: int
    created_at: datetime
    metadata: Optional[dict] = None


class ModelDataLink(BaseModel):
    model_id: str
    model_name: str
    dataset_version_id: str
    training_date: datetime
    metrics: Optional[dict] = None


@router.post("/register")
async def register_dataset(
    file: UploadFile = File(...),
    metadata: Optional[dict] = None
):
    """Register a dataset version"""
    # TODO: Implement dataset registration with hashing
    return {
        "version_id": "v1",
        "hash": "sha256...",
        "message": "Dataset registered"
    }


@router.get("/versions")
async def list_versions(
    filename: Optional[str] = None,
    limit: int = 100
):
    """List dataset versions"""
    # TODO: Implement version listing
    return {"versions": []}


@router.get("/versions/{version_id}")
async def get_version(version_id: str):
    """Get details of a specific version"""
    # TODO: Implement version retrieval
    return {"version": None}


@router.post("/link-model")
async def link_model_to_dataset(link: ModelDataLink):
    """Link a model to a dataset version"""
    # TODO: Implement model-dataset linking
    return {"message": "Model linked to dataset", "link": link}


@router.get("/models/{model_id}/datasets")
async def get_model_datasets(model_id: str):
    """Get all datasets used to train a model"""
    # TODO: Implement dataset retrieval for model
    return {"model_id": model_id, "datasets": []}


@router.get("/compliance-report")
async def generate_compliance_report(
    model_id: Optional[str] = None,
    format: str = "json"  # json, markdown, pdf
):
    """Generate a compliance report (GDPR/CCPA)"""
    # TODO: Implement compliance report generation
    return {
        "report": {
            "model_id": model_id,
            "datasets_used": [],
            "data_retention": {},
            "processing_purposes": [],
            "generated_at": datetime.now().isoformat()
        }
    }
