def get_shop_information4hot(shop, longitude, latitude, user_id):
result = dict()
try:
result["shop_id"] = shop.id
result["shop_name"] = shop.name
result["shop_price"] = shop.dianping_avg_price
if shop.category:
result["shop_category"] = shop.category.name
else:
result["shop_category"] = None
if shop.dianping_city:
result["city"] = shop.dianping_city
else:
result["city"] = None
result["shop_rate"] = DianPings.DIANPING_RATING[int(2 * shop.dianping_avg_rating)]
if shop.photo_url:
result["shop_image"] = files.BASE_URL_4_IMAGE + shop.photo_url
else:
if shop.category:
result["shop_image"] = files.BASE_URL_4_IMAGE + shop.category.icon
else:
result["shop_image"] = None
result["distance"] = Shops.get_distance_from_shop(shop, latitude, longitude)
if shop.dianping_business_id:
result["is_from_dianping"] = True
else:
result["is_from_dianping"] = False
publishes = Publishes.get_publishes_by_shop(shop.id)
if publishes:
result["publish_count"] = publishes.count()
else:
result["publish_count"] = 0
score_dict = Scores.get_total_score(shop, user_id)
score = Scores.get_concrete_score(score_dict)
score_level = Scores.get_level_info(score)
if score_level:
result["score_key"] = score_level.get("key", "--")
else:
result["score_key"] = "--"
except Exception as ex:
Logs.print_current_function_name_and_line_number(ex)
return result
def get_shop_information4discovery(shop, longitude, latitude, user_id):
result = dict()
result["shop_id"] = shop.id
result["business_url"] = shop.dianping_business_url
result["deals_url"] = shop.dianping_deals_url
result["shop_name"] = shop.name
result["shop_price"] = shop.dianping_avg_price
result["shop_category"] = shop.category.name
if shop.dianping_business_id:
result["city"] = shop.dianping_city
result["shop_address"] = shop.dianping_city + shop.dianping_address
result["is_from_dianping"] = True
else:
result["is_from_dianping"] = False
if shop.address.china:
result["city"] = shop.address.china.name
result["shop_address"] = shop.address.china.name + shop.address.detail_address
else:
result["city"] = shop.dianping_city
result["shop_address"] = shop.address.detail_address
if shop.photo_url:
result["shop_image"] = files.BASE_URL_4_IMAGE + shop.photo_url
else:
result["shop_image"] = None
result["shop_rate"] = DianPings.DIANPING_RATING[int(2 * shop.dianping_avg_rating)]
result["distance"] = Shops.get_distance_from_shop(shop, latitude, longitude)
publishes = Publishes.get_publishes_by_shop(shop.id)
result["publish_count"] = publishes.count()
result["has_coupon"] = shop.dianping_has_coupon
result["has_deal"] = shop.dianping_has_deal
score = -1000
if publishes.count() < 0:
pass
else:
score_dict = Scores.get_total_score(shop, user_id)
score = Scores.get_concrete_score(score_dict)
if score == -1000:
result["score"] = -1000
result["score_key"] = "--"
result["score_name"] = "--"
else:
result["score"] = score
score_level = Scores.get_level_info(score)
result["score_key"] = score_level.get("key", "--")
result["score_name"] = score_level.get("name", "--")
result["formaldehyde"] = shop.formaldehyde
if shop.formaldehyde_image:
result["formaldehyde_image"] = files.BASE_URL_4_IMAGE + shop.formaldehyde_image.name
result["valid_score"] = True
else:
result["formaldehyde_image"] = None
result["valid_score"] = False
result["recommended_count"] = UserShopRelationMethods.get_recommended_count_by_shop(shop)
result["not_recommended_count"] = UserShopRelationMethods.get_not_recommended_count_by_shop(shop)
usr = UserShopRelationMethods.get_by_shop_and_user(shop.id, user_id)
if usr:
result["is_recommended"] = usr.is_recommended
else:
result["is_recommended"] = -1
return result
