from productai import Client

cli = Client(access_key_id, access_key_secret)
api = cli.get_image_set_api(image_set_id)
resp = api.add_image(url, meta, tags='cartoon|square')

from productai import Client

cli = Client(access_key_id, access_key_secret)
api = cli.get_image_set_api(image_set_id)
with open('images.csv') as f:
    res = api.add_images_in_bulk(f)

from productai import Client

cli = Client(access_key_id, access_key_secret)
api = cli.get_image_set_api(image_set_id)
with open("images.csv") as f:
    resp = api.delete_images_in_bulk(f)

from productai import Client

cli = Client(access_key_id, access_key_secret)
api = cli.get_image_search_api(service_id)

# query by url of image
resp = api.query(image_url)

# or query by local image
with open("fashion.jpg") as f_image:
    resp = api.query(f_image)

# Specifies the maximum number of results, defaults is 20
# Specifies the result containing 'MALE' and 'SHOES' tags
resp = api.query(image_url, count=10, tags=['MALE', 'SHOES'])

# use string as tag search. "|" equals to "and"
resp = api.query(image_url, count=10, tags='MALE|SHOES')

# use the complex form of tag search
resp = api.query(image_url, count=10, tags={'and': ['MALE', 'SHOES', {'or': ['TMALL', 'TAOBAO']}]})

from productai import Client

cli = Client(access_key_id, access_key_secret)
api = cli.get_api(service_type, service_id)
resp = api.query(image_url)

from productai import Client

cli = Client(access_key_id, access_key_secret)
api = cli.get_image_set_api(image_set_id)
resp = api.add_image(url, meta, tags='卡通|四方')

from productai import Client

cli = Client(access_key_id, access_key_secret)
api = cli.get_image_set_api(image_set_id)
with open('images.csv') as f:
    res = api.add_images_in_bulk(f)

from productai import Client

cli = Client(access_key_id, access_key_secret)
api = cli.get_image_set_api(image_set_id)
with open("images.csv") as f:
    resp = api.delete_images_in_bulk(f)

from productai import Client

cli = Client(access_key_id, access_key_secret)
api = cli.get_image_search_api(service_id)

# 用图片URL查询
resp = api.query(image_url)

# 或者直接上传本地图片查询
with open("fashion.jpg") as f_image:
    resp = api.query(f_image)

# 指定查询结果数量上限，默认为 20
# 指定查询结果必须有MALE和SHOES标签
resp = api.query(image_url, count=10, tags=['MALE', 'SHOES'])

# 也可以按如下方式创建标签搜索，"|"等价于"and"操作符
resp = api.query(image_url, count=10, tags='MALE|SHOES')

# 或者使用复杂标签搜索
resp = api.query(image_url, count=10, tags={'and': ['MALE', 'SHOES', {'or': ['TMALL', 'TAOBAO']}]})

from productai import Client

cli = Client(access_key_id, access_key_secret)
api = cli.get_api(service_type, service_id)
resp = api.query(image_url)