DB_PRODUCT_NAME = os.environ['DB_PRODUCT_NAME']
AWS_ACCESS_KEY = os.environ['AWS_ACCESS_KEY'].replace('"', '')
AWS_SECRET_ACCESS_KEY = os.environ['AWS_SECRET_ACCESS_KEY'].replace('"', '')
MAX_PROCESS_NUM = int(os.environ['MAX_PROCESS_NUM'])
REDIS_HOST_CLASSIFY_QUEUE = 'bl:host:classify:queue'
REDIS_PRODUCT_IMAGE_PROCESS_QUEUE = 'bl:product:image:process:queue'
REDIS_CRAWL_VERSION = 'bl:crawl:version'
REDIS_CRAWL_VERSION_LATEST = 'latest'
SPAWNING_CRITERIA = 50
PROCESSING_TERM = 60
options = {'REDIS_SERVER': REDIS_SERVER, 'REDIS_PASSWORD': REDIS_PASSWORD}
log = Logging(options, tag='bl-image-process')
rconn = redis.StrictRedis(REDIS_SERVER, port=6379, password=REDIS_PASSWORD)
def get_latest_crawl_version(rconn):
value = rconn.hget(REDIS_CRAWL_VERSION, REDIS_CRAWL_VERSION_LATEST)
if value is None:
return None
log.debug(value)
try:
version_id = value.decode("utf-8")
except Exception as e:
log.error(str(e))
version_id = None
return version_id
import os
import time
from bluelens_log import Logging
import bottlenose
from bs4 import BeautifulSoup
import redis
import pickle
REDIS_SERVER = os.environ['REDIS_SERVER']
REDIS_PASSWORD = os.environ['REDIS_PASSWORD']
options = {'REDIS_SERVER': REDIS_SERVER, 'REDIS_PASSWORD': REDIS_PASSWORD}
log = Logging(options, tag='bl-amazon-best-seeker')
rconn = redis.StrictRedis(REDIS_SERVER, port=6379, password=REDIS_PASSWORD)
REDIS_AMZ_BEST_ASIN_QUEUE = "bl:amz:best:asin:queue"
REDIS_AMZ_BEST_ASIN_QUEUE_TEST = "bl:amz:best:asin:queue:test"
amazon = bottlenose.Amazon(
AWSAccessKeyId=os.environ['AWS_ACCESS_KEY_ID'],
AWSSecretAccessKey=os.environ['AWS_SECRET_ACCESS_KEY'],
AssociateTag=os.environ['AWS_ASSOCIATE_TAG'],
Parser=lambda text: BeautifulSoup(text, 'xml'))
node_ids = [
'2368343011', '2368365011', '5418124011', '1044544', '1044548',
'2368344011', '5418125011', '5418126011'
]
DB_IMAGE_HOST = os.environ['DB_IMAGE_HOST']
DB_IMAGE_PORT = os.environ['DB_IMAGE_PORT']
DB_IMAGE_NAME = os.environ['DB_IMAGE_NAME']
DB_IMAGE_USER = os.environ['DB_IMAGE_USER']
DB_IMAGE_PASSWORD = os.environ['DB_IMAGE_PASSWORD']
AWS_ACCESS_KEY = os.environ['AWS_ACCESS_KEY']
AWS_SECRET_ACCESS_KEY = os.environ['AWS_SECRET_ACCESS_KEY']
rconn = redis.StrictRedis(REDIS_SERVER, decode_responses=True, port=6379, password=REDIS_PASSWORD)
options = {
'REDIS_SERVER': REDIS_SERVER,
'REDIS_PASSWORD': REDIS_PASSWORD
}
log = Logging(options, tag='bl-classify')
product_api = None
def spawn_classifier(uuid):
pool = spawning_pool.SpawningPool()
project_name = 'bl-object-classifier-' + uuid
log.debug('spawn_classifier: ' + project_name)
pool.setServerUrl(REDIS_SERVER)
pool.setServerPassword(REDIS_PASSWORD)
pool.setApiVersion('v1')
pool.setKind('Pod')
pool.setMetadataName(project_name)
import os
import time
from orm.database import DataBase
from swagger_server.models.add_index_response import AddIndexResponse
from swagger_server.models.add_index_response_data import AddIndexResponseData
from swagger_server.models.get_index_response import GetIndexResponse
from swagger_server.models.index import Index
from bluelens_log import Logging
REDIS_SERVER = os.environ['REDIS_SERVER']
REDIS_PASSWORD = os.environ['REDIS_PASSWORD']
options = {'REDIS_SERVER': REDIS_SERVER, 'REDIS_PASSWORD': REDIS_PASSWORD}
log = Logging(options, tag='bl-db-index:Indexes')
class Indexes(DataBase):
def __init__(self):
super().__init__()
self.indexes = self.db.indexes
@staticmethod
def add_index(connexion):
start_time = time.time()
orm = Indexes()
res = AddIndexResponse()
data = AddIndexResponseData()
response_status = 200
if connexion.request.is_json:
index = connexion.request.get_json()
COLOR_GRPC_HOST = os.environ['COLOR_GRPC_HOST']
cOLOR_GRPC_PORT = os.environ['COLOR_GRPC_PORT']
OD_GRPC_HOST = os.environ['COLOR_GRPC_HOST']
OD_GRPC_PORT = os.environ['COLOR_GRPC_PORT']
#FEATURE_GRPC_HOST = os.environ['FEATURE_GRPC_HOST']
#FEATURE_GRPC_PORT = os.environ['FEATURE_GRPC_PORT']
#OD_GRPC_HOST = os.environ['FEATURE_GRPC_HOST']
#OD_GRPC_PORT = os.environ['FEATURE_GRPC_PORT']
OD_SCORE_MIN = float(os.environ['OD_SCORE_MIN'])
GPU_NUM = os.environ['GPU_NUM']
GPU = '/device:GPU:' + GPU_NUM
MODEL_FILE = 'frozen_inference_graph.pb'
LABEL_MAP_FILE = 'label_map.pbtxt'
options = {'REDIS_SERVER': REDIS_SERVER, 'REDIS_PASSWORD': REDIS_PASSWORD}
log = Logging(options, tag='bl-detect:BottomObjectDetect')
storage = s3.S3(AWS_ACCESS_KEY, AWS_SECRET_ACCESS_KEY)
class BottomObjectDetect(object):
def __init__(self):
label_map_file = self.load_labelemap()
label_map = label_map_util.load_labelmap(label_map_file)
log.debug(label_map)
categories = label_map_util.convert_label_map_to_categories(
label_map, max_num_classes=NUM_CLASSES, use_display_name=True)
self.__category_index = label_map_util.create_category_index(
categories)
self.__detection_graph = tf.Graph()
#self.__feature_extractor = ExtractFeature(use_gpu=True)
self.__color_extractor = ExtractColor(use_gpu=True)
DB_DATASET_NAME = os.environ['DB_DATASET_NAME']
DB_DATASET_PORT = os.environ['DB_DATASET_PORT']
DB_DATASET_USER = os.environ['DB_DATASET_USER']
DB_DATASET_PASSWORD = os.environ['DB_DATASET_PASSWORD']
REDIS_PRODUCT_TEXT_MODEL_PROCESS_QUEUE = 'bl:product:text:model:process:queue'
REDIS_CRAWL_VERSION = 'bl:crawl:version'
REDIS_CRAWL_VERSION_LATEST = 'latest'
TEXT_CLASSIFICATION_MODEL_TYPE = 'text-classification'
SPAWNING_CRITERIA = 50
PROCESSING_TERM = 60
options = {'REDIS_SERVER': REDIS_SERVER, 'REDIS_PASSWORD': REDIS_PASSWORD}
log = Logging(options, tag='bl-model')
rconn = redis.StrictRedis(REDIS_SERVER, port=6379, password=REDIS_PASSWORD)
model_api = None
def get_latest_crawl_version(rconn):
value = rconn.hget(REDIS_CRAWL_VERSION, REDIS_CRAWL_VERSION_LATEST)
if value is None:
return None
log.debug(value)
try:
version_id = value.decode("utf-8")
except Exception as e:
log.error(str(e))
import pickle
from bl_db_product_amz_best.products import Products
# from stylelens_product.products import Products
# product_api = Products()
#
# HEALTH_CHECK_TIME = 60*20
REDIS_SERVER = os.environ['REDIS_SERVER']
REDIS_PASSWORD = os.environ['REDIS_PASSWORD']
REDIS_AMZ_BEST_ASIN_QUEUE = "bl:amz:best:asin:queue"
REDIS_AMZ_BEST_ASIN_QUEUE_TEST = "bl:amz:best:asin:queue:test"
options = {'REDIS_SERVER': REDIS_SERVER, 'REDIS_PASSWORD': REDIS_PASSWORD}
log = Logging(options, tag='bl-amazon-best-crawler')
rconn = redis.StrictRedis(REDIS_SERVER, port=6379, password=REDIS_PASSWORD)
amazon = bottlenose.Amazon(
AWSAccessKeyId=os.environ['AWS_ACCESS_KEY_ID'],
AWSSecretAccessKey=os.environ['AWS_SECRET_ACCESS_KEY'],
AssociateTag=os.environ['AWS_ASSOCIATE_TAG'],
Parser=lambda text: BeautifulSoup(text, 'xml'))
def add_product(product):
api_instance = Products()
res = api_instance.add_product(product=product)
print(res)
import os
import time
from bson.objectid import ObjectId
from orm.database import DataBase
from swagger_server.models.object import Object
from swagger_server.models.add_object_response import AddObjectResponse
from swagger_server.models.add_object_response_data import AddObjectResponseData
from swagger_server.models.get_object_response import GetObjectResponse
from bluelens_log import Logging
REDIS_SERVER = os.environ['REDIS_SERVER']
REDIS_PASSWORD = os.environ['REDIS_PASSWORD']
options = {'REDIS_SERVER': REDIS_SERVER, 'REDIS_PASSWORD': REDIS_PASSWORD}
log = Logging(options, tag='bl-db-product:Products')
class Objects(DataBase):
def __init__(self):
super().__init__()
self.objects = self.db.objects
@staticmethod
def add_object(connexion):
start_time = time.time()
orm = Objects()
res = AddObjectResponse()
data = AddObjectResponseData()
response_status = 200
if connexion.request.is_json:
import numpy as np
import os
from util import s3
import faiss
from bluelens_log import Logging
AWS_BUCKET = 'bluelens-style-index'
AWS_ACCESS_KEY = os.environ['AWS_ACCESS_KEY']
AWS_SECRET_ACCESS_KEY = os.environ['AWS_SECRET_ACCESS_KEY']
REDIS_SERVER = os.environ['REDIS_SERVER']
REDIS_PASSWORD = os.environ['REDIS_PASSWORD']
RELEASE_MODE = os.environ['RELEASE_MODE']
INDEX_FILE = 'faiss.index'
options = {'REDIS_SERVER': REDIS_SERVER, 'REDIS_PASSWORD': REDIS_PASSWORD}
log = Logging(options, tag='bl-search-vector')
storage = s3.S3(AWS_ACCESS_KEY, AWS_SECRET_ACCESS_KEY)
class SearchVector(object):
def __init__(self):
log.info('Init')
try:
file = self.load_index_file()
self.index = faiss.read_index(file)
except Exception as e:
log.error(str(e))
def load_index_file(self):
log.info('load_index_file')
file = os.path.join(os.getcwd(), INDEX_FILE)
import json
import os
from bluelens_log import Logging
import subprocess
import yaml
TMP_CONFIG_FILE = "config.yaml"
REDIS_SERVER = os.environ['REDIS_SERVER']
REDIS_PASSWORD = os.environ['REDIS_PASSWORD']
options = {'REDIS_SERVER': REDIS_SERVER, 'REDIS_PASSWORD': REDIS_PASSWORD}
log = Logging(options, tag='bl-spawning-pool')
class PodManager:
def __init__(self):
log.debug('init PodManager')
def create(self, data):
log.debug('%s' % (data))
with open(TMP_CONFIG_FILE, 'w') as outfile:
try:
yaml.dump(data, outfile, default_flow_style=False)
finally:
cmd = 'cat config.yaml && kubectl --namespace=' + data[
'metadata']['namespace'] + ' create -f ' + TMP_CONFIG_FILE
self.runInBash(cmd)
def delete(self, data):
log.debug(data)
import os
from bson.objectid import ObjectId
from orm.database import DataBase
from swagger_server.models.image import Image
from swagger_server.models.add_image_response import AddImageResponse
from swagger_server.models.add_image_response_data import AddImageResponseData
from bluelens_log import Logging
REDIS_SERVER = os.environ['REDIS_SERVER']
REDIS_PASSWORD = os.environ['REDIS_PASSWORD']
options = {'REDIS_SERVER': REDIS_SERVER, 'REDIS_PASSWORD': REDIS_PASSWORD}
log = Logging(options, tag='bl-db-product:Images')
class Images(DataBase):
def __init__(self):
super().__init__()
self.images = self.db.images
@staticmethod
def add_image(connexion):
log.debug('add_image')
orm = Images()
res = AddImageResponse()
data = AddImageResponseData()
response_status = 200
if connexion.request.is_json:
body = Image.from_dict(connexion.request.get_json())
from bluelens_log import Logging
from bluelens_k8s.pod import Pod
REDIS_TICKER_KEY = os.environ['TICKER_KEY']
REDIS_TICKER_VALUE = int(os.environ['TICKER_VALUE'])
REDIS_SERVER = os.environ['REDIS_SERVER']
REDIS_PASSWORD = os.environ['REDIS_PASSWORD']
rconn = redis.StrictRedis(REDIS_SERVER, port=6379, password=REDIS_PASSWORD)
options = {
'REDIS_SERVER': REDIS_SERVER,
'REDIS_PASSWORD': REDIS_PASSWORD
}
log = Logging(options, tag='bl-ticker')
class Ticker(Pod):
def __init__(self):
super().__init__(REDIS_SERVER, REDIS_PASSWORD, rconn, log)
def run(self):
while True:
time.sleep(REDIS_TICKER_VALUE)
rconn.lrem(REDIS_TICKER_KEY, count=0, value='@')
rconn.lpush(REDIS_TICKER_KEY, '@')
if __name__ == '__main__':
log.info('Start bl-ticker:1')
try:
OD_GRPC_PORT = os.environ['COLOR_GRPC_PORT']
#FEATURE_GRPC_HOST = os.environ['FEATURE_GRPC_HOST']
#FEATURE_GRPC_PORT = os.environ['FEATURE_GRPC_PORT']
#OD_GRPC_HOST = os.environ['FEATURE_GRPC_HOST']
#OD_GRPC_PORT = os.environ['FEATURE_GRPC_PORT']
OD_SCORE_MIN = float(os.environ['OD_SCORE_MIN'])
GPU_NUM = os.environ['GPU_NUM']
GPU = '/device:GPU:' + GPU_NUM
MODEL_FILE = 'frozen_inference_graph.pb'
LABEL_MAP_FILE = 'label_map.pbtxt'
options = {
'REDIS_SERVER': REDIS_SERVER,
'REDIS_PASSWORD': REDIS_PASSWORD
}
log = Logging(options, tag='bl-detect:AllObjectDetect')
storage = s3.S3(AWS_ACCESS_KEY, AWS_SECRET_ACCESS_KEY)
class TopFullObjectDetect(object):
def __init__(self):
label_map_file = self.load_labelemap()
label_map = label_map_util.load_labelmap(label_map_file)
log.debug(label_map)
categories = label_map_util.convert_label_map_to_categories(label_map, max_num_classes=NUM_CLASSES,
use_display_name=True)
self.__category_index = label_map_util.create_category_index(categories)
self.__detection_graph = tf.Graph()
#self.__feature_extractor = ExtractFeature(use_gpu=True)
self.__color_extractor = ExtractColor(use_gpu=True)
model_file = self.load_model()
with self.__detection_graph.as_default():
REDIS_LOG_SEARCH_IMAGE_FILE_QUEUE = 'bl:log:search:image:file'
REDIS_LOG_SEARCH_IMAGE_ID_QUEUE = 'bl:log:search:image:id'
REDIS_LOG_SEARCH_OBJECT_ID_QUEUE = 'bl:log:search:object:id'
REDIS_SERVER = os.environ['REDIS_SEARCH_SERVER']
REDIS_PASSWORD = os.environ['REDIS_SEARCH_PASSWORD']
CACHE_MAX_NUM = 7000
rconn = redis.StrictRedis(REDIS_SERVER,
decode_responses=False,
port=6379,
password=REDIS_PASSWORD)
options = {'REDIS_SERVER': REDIS_SERVER, 'REDIS_PASSWORD': REDIS_PASSWORD}
log = Logging(options, tag='style-api:Products')
class Images(object):
def __init__(self):
super().__init__()
@staticmethod
def get_images(image_id, offset=0, limit=10):
log.info('get_images:' + image_id)
index_image_api = IndexImages()
res = GetImageResponse()
try:
image_d = rconn.hget(REDIS_INDEXED_SIM_IMAGES_HASH, image_id)
AWS_ACCESS_KEY = os.environ['AWS_ACCESS_KEY'].replace('"', '')
AWS_SECRET_ACCESS_KEY = os.environ['AWS_SECRET_ACCESS_KEY'].replace('"', '')
AWS_MODEL_BUCKET = 'bluelens-style-model'
AWS_BUCKET_CLASSIFICATION_TEXT_PATH = 'classification/text/' + RELEASE_MODE + '/'
def get_latest_crawl_version():
value = rconn.hget(REDIS_CRAWL_VERSION, REDIS_CRAWL_VERSION_LATEST)
return value
# REDIS_PRODUCT_TEXT_MODEL_PROCESS_QUEUE = 'bl:product:text:model:process:queue'
options = {'REDIS_SERVER': REDIS_SERVER, 'REDIS_PASSWORD': REDIS_PASSWORD}
log = Logging(options, tag='bl-text-classification-modeler')
rconn = redis.StrictRedis(REDIS_SERVER,
decode_responses=True,
port=6379,
password=REDIS_PASSWORD)
storage = s3.S3(AWS_ACCESS_KEY, AWS_SECRET_ACCESS_KEY)
text_api = Texts()
product_api = Products()
model_api = Models()
PRODUCT_MODELS_TYPE = 'text-classification'
TEXT_CLASSIFICATION_MODEL = 'text_classification_model'
DATASET_LABEL_PREFIX = '__label__'
generated_datasets = []
REDIS_HOST_CLASSIFY_QUEUE = 'bl:host:classify:queue'
REDIS_HOST_CRAWL_QUEUE = 'bl:host:crawl:queue'
REDIS_PRODUCT_IMAGE_PROCESS_QUEUE = 'bl:product:image:process:queue'
REDIS_CRAWL_VERSION = 'bl:crawl:version'
REDIS_CRAWL_VERSION_LATEST = 'latest'
SPAWN_ID = os.environ['SPAWN_ID']
HOST_CODE = os.environ['HOST_CODE']
RELEASE_MODE = os.environ['RELEASE_MODE']
REDIS_SERVER = os.environ['REDIS_SERVER']
REDIS_PASSWORD = os.environ['REDIS_PASSWORD']
rconn = redis.StrictRedis(REDIS_SERVER, port=6379, password=REDIS_PASSWORD)
options = {'REDIS_SERVER': REDIS_SERVER, 'REDIS_PASSWORD': REDIS_PASSWORD}
log = Logging(options, tag='bl-crawler')
product_api = None
# heart_bit = True
# def check_health():
# global heart_bit
# log.info('check_health: ' + str(heart_bit))
# if heart_bit == True:
# heart_bit = False
# Timer(HEALTH_CHECK_TIME, check_health, ()).start()
# else:
# delete_pod()
REDIS_INDEXED_OBJECT_HASH = 'bl_indexed_object_hash'
REDIS_INDEXED_OBJECT_LIST = 'bl:indexed:object:list'
REDIS_USER_OBJECT_HASH = 'bl:user:object:hash'
REDIS_USER_OBJECT_QUEUE = 'bl:user:object:queue'
REDIS_USER_IMAGE_HASH = 'bl:user:image:hash'
REDIS_FEED_IMAGE_HASH = 'bl:feed:image:hash'
REDIS_LOG_SEARCH_IMAGE_FILE_QUEUE = 'bl:log:search:image:file'
REDIS_LOG_SEARCH_IMAGE_ID_QUEUE = 'bl:log:search:image:id'
REDIS_LOG_SEARCH_OBJECT_ID_QUEUE = 'bl:log:search:object:id'
ALLOWED_EXTENSIONS = set(['png', 'jpg', 'jpeg', 'gif'])
options = {'REDIS_SERVER': REDIS_SERVER, 'REDIS_PASSWORD': REDIS_PASSWORD}
log = Logging(options, tag='style-api:Objects')
rconn = redis.StrictRedis(REDIS_SERVER,
decode_responses=False,
port=6379,
password=REDIS_PASSWORD)
TMP_IMG = 'tmp.jpg'
def allowed_file(filename):
return '.' in filename and \
filename.rsplit('.', 1)[1] in ALLOWED_EXTENSIONS
class Objects(object):
import os
import time
from bluelens_log import Logging
from swagger_server.models.get_feed_response import GetFeedResponse
from .feed import Feed
REDIS_SERVER = os.environ['REDIS_SEARCH_SERVER']
REDIS_PASSWORD = os.environ['REDIS_SEARCH_PASSWORD']
options = {'REDIS_SERVER': REDIS_SERVER, 'REDIS_PASSWORD': REDIS_PASSWORD}
log = Logging(options, tag='style-api:Feeds')
class Feeds(object):
def __init__(self):
super().__init__()
@staticmethod
def get_feeds(offset=None, limit=None):
feed = Feed(log)
res = GetFeedResponse()
start_time = time.time()
try:
feeds = feed.feeds(offset, limit)
res.message = 'Successful'
res.data = feeds
response_status = 200
except Exception as e:
log.error(str(e))
SPAWN_ID = os.environ['SPAWN_ID']
REDIS_SERVER = os.environ['REDIS_SERVER']
REDIS_PASSWORD = os.environ['REDIS_PASSWORD']
RELEASE_MODE = os.environ['RELEASE_MODE']
# DATA_SOURCE = os.environ['DATA_SOURCE']
DATA_SOURCE_QUEUE = 'REDIS_QUEUE'
DATA_SOURCE_DB = 'DB'
FEATURE_GRPC_HOST = os.environ['FEATURE_GRPC_HOST']
FEATURE_GRPC_PORT = os.environ['FEATURE_GRPC_PORT']
# REDIS_OBJECT_FEATURE_QUEUE = 'bl:object:feature:queue'
REDIS_OBJECT_INDEX_QUEUE = 'bl:object:index:queue'
options = {'REDIS_SERVER': REDIS_SERVER, 'REDIS_PASSWORD': REDIS_PASSWORD}
log = Logging(options, tag='bl-object-indexer')
rconn = redis.StrictRedis(REDIS_SERVER, port=6379, password=REDIS_PASSWORD)
feature_extractor = ExtractFeature(use_gpu=True)
storage = s3.S3(AWS_ACCESS_KEY, AWS_SECRET_ACCESS_KEY)
heart_bit = True
object_api = Objects()
def start_index():
log.info('start_index')
def items():
count = 0
while True:
if count > MAX_INDEX_NUM:
SPAWN_ID = os.environ['SPAWN_ID']
REDIS_SERVER = os.environ['REDIS_SERVER']
REDIS_PASSWORD = os.environ['REDIS_PASSWORD']
RELEASE_MODE = os.environ['RELEASE_MODE']
# DATA_SOURCE = os.environ['DATA_SOURCE']
DATA_SOURCE_QUEUE = 'REDIS_QUEUE'
DATA_SOURCE_DB = 'DB'
REDIS_OBJECT_FEATURE_QUEUE = 'bl:object:feature:queue'
REDIS_OBJECT_INDEX_QUEUE = 'bl:object:index:queue'
options = {
'REDIS_SERVER': REDIS_SERVER,
'REDIS_PASSWORD': REDIS_PASSWORD
}
log = Logging(options, tag='bl-image-indexer')
rconn = redis.StrictRedis(REDIS_SERVER, port=6379, password=REDIS_PASSWORD)
feature_extractor = ExtractFeature(use_gpu=True)
storage = s3.S3(AWS_ACCESS_KEY, AWS_SECRET_ACCESS_KEY)
heart_bit = True
def start_index():
log.info('start_index')
def items():
while True:
yield rconn.blpop([REDIS_OBJECT_INDEX_QUEUE])
def request_stop(signum, frame):
log.info('stopping')
rconn.connection_pool.disconnect()
AWS_SECRET_ACCESS_KEY = os.environ['AWS_SECRET_ACCESS_KEY'].replace('"', '')
MAX_PROCESS_NUM = int(os.environ['MAX_PROCESS_NUM'])
REDIS_PRODUCT_CLASSIFY_QUEUE = 'bl_product_classify_queue'
REDIS_OBJECT_INDEX_QUEUE = 'bl:object:index:queue'
REDIS_PRODUCT_HASH = 'bl:product:hash'
REDIS_PRODUCT_IMAGE_PROCESS_QUEUE = 'bl:product:image:process:queue'
REDIS_CRAWL_VERSION = 'bl:crawl:version'
REDIS_CRAWL_VERSION_LATEST = 'latest'
options = {
'REDIS_SERVER': REDIS_SERVER,
'REDIS_PASSWORD': REDIS_PASSWORD
}
log = Logging(options, tag='bl-object-classifier')
rconn = redis.StrictRedis(REDIS_SERVER, decode_responses=False, port=6379, password=REDIS_PASSWORD)
storage = s3.S3(AWS_ACCESS_KEY, AWS_SECRET_ACCESS_KEY)
heart_bit = True
product_api = Products()
object_api = Objects()
image_api = Images()
version_id = None
def analyze_product(p_data):
log.info('analyze_product')
product = pickle.loads(p_data)
REDIS_SERVER = os.environ['REDIS_SEARCH_SERVER']
REDIS_PASSWORD = os.environ['REDIS_SEARCH_PASSWORD']
DB_USER_LOG_USER = os.environ['DB_USER_LOG_USER']
DB_USER_LOG_HOST = os.environ['DB_USER_LOG_HOST']
DB_USER_LOG_PORT = os.environ['DB_USER_LOG_PORT']
DB_USER_LOG_NAME = os.environ['DB_USER_LOG_NAME']
DB_USER_LOG_PASSWORD = os.environ['DB_USER_LOG_PASSWORD']
rconn = redis.StrictRedis(REDIS_SERVER,
decode_responses=False,
port=6379,
password=REDIS_PASSWORD)
options = {'REDIS_SERVER': REDIS_SERVER, 'REDIS_PASSWORD': REDIS_PASSWORD}
log = Logging(options, tag='bl-user-profile')
def profile_image_file_search(rconn):
while True:
key, value = rconn.blpop([REDIS_USER_PROFILE_IMAGE_FILE_SEARCH_QUEUE])
if value is not None:
image = pickle.loads(value)
# objects = image.get('objects')
# if objects is not None:
# for o in objects:
if __name__ == '__main__':
try:
log.info("start bl-user-profile:1")