import logging
import time
from copy import deepcopy

from fastapi import APIRouter
from pymilvus import MilvusClient

from app.core.config import MILVUS_URL
from app.schemas.outfit_matcher import OutfitMatcher
from app.service.outfit_matcher.dataset import FashionDataset
from app.service.outfit_matcher.outfit_evaluator import OutfitMaterTypeAware, Backbone
from app.service.utils.decorator import RunTime

logger = logging.getLogger()
router = APIRouter()


@RunTime
@router.post("outfit_matcher")
def outfit_matcher(request_item: OutfitMatcher):
    request_item = dict(request_item)
    for i in range(len(request_item['query'])):
        request_item['query'][i] = dict(request_item['query'][i])
    for i in range(len(request_item['database'])):
        request_item['database'][i] = dict(request_item['database'][i])
    fashion_dataset = FashionDataset(request_item['database'])
    backbone_service = Backbone()
    service = OutfitMaterTypeAware()
    all_items = request_item["query"] + request_item["database"]
    prepared_feature = {}
    extracted_features = backbone_service.get_result(all_items)
    data = deepcopy(all_items)  # 做深拷贝 , all_items 是list 可变数组
    for i, feature in enumerate(extracted_features):
        data[i]['features'] = feature
        if 'mapped_cate' in data[i].keys():
            del data[i]['mapped_cate']

    client = MilvusClient(uri=MILVUS_URL, token="root:Milvus", db_name="mixi")
    res = client.insert(collection_name="mixi_outfit", data=data)
    client.close()
    for d in data:
        prepared_feature[d['item_name']] = d['features']
    result = []
    start_time = time.time()
    for item in request_item['query']:
        try:
            outfits = fashion_dataset.generate_outfit(item, request_item["topk"], request_item["max_outfits"])
        except ValueError as e:
            logger.warning(e)
            return {"code": 500, "message": f"valueError : {e}", "data": e}

        scores = service.get_result(outfits, prepared_feature)

        if request_item['is_best']:
            best_outfits, best_scores = service.visualize(outfits, scores, request_item["topk"], best=True,
                                                          # output_path=os.path.join(r"E:\workspace\outfit_matcher\2024 SS Outfit", f"{item['item_name']}_best_{param['topk']}.png")
                                                          )
            result.append({"outfits": best_outfits, "scores": best_scores})
        else:
            bad_outfits, bad_scores = service.visualize(outfits, scores, request_item["topk"], best=False,
                                                        # output_path=os.path.join(r"E:\workspace\outfit_matcher\2024 SS Outfit", f"{item['item_name']}_worst_{param['topk']}.png")
                                                        )
            result.append({"outfits": bad_outfits, "scores": bad_scores})
    logger.info(f"run time is : {time.time() - start_time}")
    return {"code": 200, "message": "ok", "data": result}
    # except Exception as e:
    #     logger.warning(e)
    #     return {"message": f"{e}", "data": e}