def LogMessage(self, msg):
"""log a message into DB for backup"""
cmd = "INSERT INTO dbo.RawMsg (TimeStamp, RawMsg, FromUser, ToUser, MsgType) VALUES "+\
"('%s',N'%s','%s','%s', '%s')" % (msg.TimeStamp, msg.RawContent, msg.FromUser, msg.ToUser, msg.MsgType)
self.__ExecNonQuery(cmd)
if self.save_to_azuretable:
json_string = json.dumps([{'time' : msg.TimeStamp.strftime("%Y-%m-%d %H:%M:%S"), \
'content' : msg.RawContent,'from' : msg.FromUser,'to' : msg.ToUser,'type' : msg.MsgType}], ensure_ascii=False)
task = Entity()
task.PartitionKey = msg.TimeStamp.strftime("%Y%m")
task.RowKey = msg.TimeStamp.strftime("%Y%m%d%H%M%S")
task.description = json_string
iRetry = 1
iRetryMax = 10
while iRetry <= iRetryMax: #retry for 10 times
try:
self.azuretable_service.insert_entity(
'robertlograwmsg', task)
except:
task.RowKey = (msg.TimeStamp + datetime.timedelta(
seconds=iRetry)).strftime("%Y%m%d%H%M%S")
iRetry += 1
else:
iRetry = iRetryMax + 1
def update_storage_cluster_table(**kwargs):
import uuid
storage_table_service = kwargs.get('storage_table_service')
cluster_id = kwargs.get('cluster_id')
container_groups = kwargs.get('container_groups')
entities = []
for container_group in container_groups:
entity = Entity()
entity.PartitionKey = 'id'
entity.RowKey = str(uuid.uuid4())
entity.id = container_group.name
entity.ip = container_group.ip_address.ip
entity.cpu = container_group.containers[0].resources.requests.cpu
entity.memory_in_gb = container_group.containers[
0].resources.requests.memory_in_gb
entities.append(entity)
with concurrent.futures.ThreadPoolExecutor() as executor:
futures = {
executor.submit(insert_entity_to_table, storage_table_service,
cluster_id, entity): entity
for entity in entities
}
concurrent.futures.wait(futures,
timeout=30,
return_when=concurrent.futures.ALL_COMPLETED)
def set_stock_day(self, targettable, stockdf):
# print('>> insert data to azure table')
'''
for data in stockdata:
task = {'PartitionKey': 'tasksSeattle', 'RowKey': '001','description': 'Take out the trash', 'priority': 200}
self.table_service.insert_entity('stockday', task)
'''
# dataframe에서 partitionkey 및 row_id 로 칼럼명 변경 필요
# key 값을 두개만 가질 수 있음
# particionkey = code / date = row_id
#print (stockdf.head())
stockdf_table = stockdf.rename(columns={"code": "PartitionKey", "date": "RowKey"})
#print (stockdf_table)
for index, row in stockdf_table.iterrows():
#print(row)
#print(row['PartitionKey'])
#print(">> start row")
#print(row)
task = Entity()
task.PartitionKey = row.to_dict()['PartitionKey']
task.RowKey = str(row.to_dict()['RowKey'])
task.open = row.to_dict()['open']
task.high = row.to_dict()['high']
task.low = row.to_dict()['low']
task.close = row.to_dict()['close']
task.volume = row.to_dict()['volume']
self.table_service.insert_or_merge_entity(targettable, task, timeout=None)
def computeFaceDetectionIBM(self,face_image_url, file_name, gender):
table_name = 'IBM'
partition_name = 'IBM'
urllib.request.urlretrieve(face_image_url, file_name)
with open(file_name, 'rb') as image_file:
response = self.IBM_visual_recognition.detect_faces(image_file)
faces = response['images'][0]['faces']
success = False
faceDetected = False
genderPrediction = 'None'
if len(faces) == 0:
success = False
faceDetected = False
elif len(faces)>0:
faceDetected = True
genderPrediction = faces[0]["gender"]["gender"]
if gender.lower()==genderPrediction.lower():
success = True
face_entry = Entity()
face_entry.PartitionKey = partition_name
face_entry.RowKey = file_name
face_entry.Result = json.dumps(response)
face_entry.DetectionSuccess = success
self.table_service.insert_entity(table_name, face_entry)
return success, faces, faceDetected, genderPrediction.lower()
def computeFaceDetectionAmazon(self,face_image_url, file_name, gender):
table_name = 'FFS3'
partition_name = 'Amazon'
urllib.request.urlretrieve(face_image_url, file_name)
with open(file_name, 'rb') as image:
response = self.amazon_client.detect_faces(Image={'Bytes': image.read()}, Attributes=['ALL'])
faces = response['FaceDetails']
success = False
faceDetected = False
genderPrediction = 'None'
if len(faces) == 0:
success = False
faceDetected = False
else:
faceDetected = True
genderPrediction = faces[0]["Gender"]["Value"]
if gender.lower()==genderPrediction.lower():
success = True
else:
success = False
face_entry = Entity()
face_entry.PartitionKey = partition_name
face_entry.RowKey = file_name
face_entry.Result = json.dumps(faces)
face_entry.DetectionSuccess = success
self.table_service.insert_entity(table_name, face_entry)
return success, faces, faceDetected, genderPrediction.lower()
def insert_recommendation_entry(self, entries):
for entry in entries:
recommendation = Entity()
recommendation.PartitionKey = "{0}_{1}".format(
entry.subreddit, entry.query_word)
recommendation.RowKey = entry.keyword
recommendation.subreddit = entry.subreddit
recommendation.query_word = entry.query_word
recommendation.post_id = ','.join(map(str, entry.post_id))
recommendation.comment_id = ','.join(map(str, entry.comment_id))
recommendation.sentiment = entry.sentiment
recommendation.count = entry.count
try:
self.table_service.insert_entity('recommendations',
recommendation)
except AzureConflictHttpError as error:
# print(error)
subreddit_query_word = recommendation.PartitionKey.split('_')
print(
"The recommendation entry with subreddit = '{0}', search term = '{1}', and keyword = '{2}' already exists in the database. Updating it..."
.format(subreddit_query_word[0], subreddit_query_word[1],
recommendation.RowKey))
self.table_service.update_entity('recommendations',
recommendation)
def results_to_table_entity(self):
""" Format the results into an Azure Storage Table entity.
:return: azure.cosmodb.table.models.Entity or None
"""
if self.results:
temp_results = copy.deepcopy(self.results)
entity = Entity()
entity.PartitionKey = temp_results.get('node_name')
run_id = temp_results.get('check_run_id')
padding = '0' * (50 - len(run_id))
padded_id = f'{padding}{run_id}'
entity.RowKey = padded_id
for item in ('PartitionKey', 'RowKey'):
if item in temp_results:
del temp_results[item]
try:
json_data = json.dumps(temp_results)
entity.update({'json_data': json_data})
except json.JSONDecodeError:
logging.warning(
'Failed to JSONify results_to_table_entity value. '
f'Original value: {temp_results}')
raise
return entity
def post(self, mail):
'''
Adds a message
'''
if request.is_json:
try:
try:
table_service.get_entity('users', mail, '')
message = Entity()
details = message_pb2.Message()
details.title = request.json["title"]
details.content = request.json["content"]
details.magic_number = request.json["magic_number"]
message.PartitionKey = mail
message.RowKey = str(
len(list(table_service.query_entities('messages'))) +
1)
message.details = EntityProperty(EdmType.BINARY,
MessageToJson(details))
table_service.insert_entity('messages', message)
return None, 201
except (Azure404):
return None, 404
except (KeyError):
return 'Please provide a json object conforming to the \
following pattern: {\"title\": \"Message title\", \
\"content\":\"Message content\", \
\"magic_number\": a number}', 400
def AppendAction(self, act):
"""log a user action into DB for futhure query"""
cmdstr = "INSERT INTO dbo.Actions (CreateTime, ActionType, FromUser, ActionDetail, ActionStatus) VALUES "+\
"('%s','%s','%s',N'%s', '%s')" % (act.TimeStamp, act.Type, act.FromUser, act.Detail, act.Status)
#print(cmdstr)
self.__ExecNonQuery(cmdstr)
if self.save_to_azuretable:
json_string = json.dumps([{'time' : act.TimeStamp.strftime("%Y-%m-%d %H:%M:%S"),\
'type' : act.Type, 'from' : act.FromUser, 'detail' : act.Detail, 'status' : act.Status}], ensure_ascii=False)
task = Entity()
task.PartitionKey = act.TimeStamp.strftime("%Y%m")
task.RowKey = act.TimeStamp.strftime("%Y%m%d%H%M%S")
task.description = json_string
iRetry = 1
while iRetry <= 10: #retry for 10 times
try:
self.azuretable_service.insert_entity(
'robertlogaction', task)
except:
task.RowKey = (act.TimeStamp + datetime.timedelta(
seconds=iRetry)).strftime("%Y%m%d%H%M%S")
iRetry += 1
else:
iRetry = 11
def store_predictions_in_table(predictions,
times,
table_name="predictedSoilMoistureMessages"):
# Connect to account
table_service = TableService(
account_name='soilhumiditydata293s',
account_key=
'4PSsEO1xBAIdq3/MppWm+t6eYHi+CWhVn6xNZ6i4mLVgm50K8+NK6lA94v8MxG0bvVEfYCvsv1suxCyCnUYd0A=='
)
# Delete existing table predictions
table = table_service.query_entities(table_name)
for entry in table:
table_service.delete_entity(table_name, entry['PartitionKey'],
entry['RowKey']) #'tasksSeattle', '001')
# Store values in table
for i in range(len(predictions)):
new_entity = Entity()
new_entity.PartitionKey = datetime.strftime(times[i],
"%Y-%m-%d %H:%M:%S")
new_entity.RowKey = str(i)
new_entity['soilmoistureprediction'] = str(predictions[i])
table_service.insert_entity(table_name, new_entity)
def create_db_entity(self, spoke, vm_details):
vm = Entity()
# PartitionKey is nothing but the spoke name
vm.PartitionKey = spoke
# RowKey is nothing but the VM name itself.
vm.RowKey = vm_details['hostname']
vm.name = vm_details['name']
vm.serial_no = vm_details['serial']
vm.ip_addr = vm_details['ip-address']
vm.connected = vm_details['connected']
vm.deactivated = vm_details['deactivated']
vm.subs_id = self.subscription_id
vm.delicensed_on = 'not applicable'
vm.is_delicensed = 'No'
try:
self.table_service.insert_entity(self.vmss_table_name, vm)
self.logger.info("VM %s with serial no. %s in db" %
(vm_details['hostname'], vm_details['serial']))
except Exception as e:
self.logger.info("Insert entry to db for %s failed with error %s" %
(vm_details['hostname'], e))
return False
return True
def main(req: func.HttpRequest) -> func.HttpResponse:
logging.info('Python HTTP trigger function processed a request.')
with open('config.json', 'r') as config_file:
config_data = json.load(config_file)
connectionstring = config_data["connectionstring"]
table_service = TableService(connection_string=connectionstring)
table = config_data["table"]
tableExists = table_service.create_table(table)
courses = readcsv()
for item in courses:
# print(item)
task = Entity()
task.PartitionKey = item.subject
task.RowKey = item.instructor
task.lectures = item.lectures
task.labs = item.labs
task.points = item.points
task.isWeekend = item.isWeekend
table_service.insert_entity(table, task)
return func.HttpResponse(
"Cosmos DB - Table API example database is created.")
def set_stock_min(self, stockdf):
# print('>> insert data to azure table')
#print (stockdf.head())
stockdf_table = stockdf.rename(columns={"code": "PartitionKey", "date": "RowKey"})
#print (stockdf_table)
stockdf_table = stockdf_table.astype({"time":str, "RowKey": str})
# date column을 time 컬럼과 합성
if len(str(stockdf_table["time"])) <= 3:
stockdf_table["time"] = '0' + str(stockdf_table["time"])
print(stockdf_table.head())
stockdf_table["RowKey"] = stockdf_table["RowKey"] + stockdf_table["time"]
print(stockdf_table.head())
stockdf_last = pd.DataFrame()
stockdf_last = stockdf_table[ ['PartitionKey', 'RowKey', 'time', 'open', 'high', 'low', 'close', 'volume'] ]
print(stockdf_last)
for index, row in stockdf_last.iterrows():
task = Entity()
task.PartitionKey = row.to_dict()['PartitionKey']
task.RowKey = str(row.to_dict()['RowKey'])
task.time = row.to_dict()['time']
task.open = row.to_dict()['open']
task.high = row.to_dict()['high']
task.low = row.to_dict()['low']
task.close = row.to_dict()['close']
task.volume = row.to_dict()['volume']
#print(task)
self.table_service.insert_or_merge_entity('stockM', task, timeout=None)
def computeFaceDetectionMicrosoft(self,face_image_url, file_name, gender):
table_name = 'Microsoft'
partition_name = 'Microsoft'
data = {'url': face_image_url}
response = requests.post(self.msft_face_detection_url, params=self.msft_params, headers=self.msft_headers, json=data)
faces = response.json()
success = False
genderPrediction = 'None'
faceDetected = False
if len(faces) == 0:
success = False
faceDetected = False
elif len(faces)>0:
faceDetected = True
genderPrediction = faces[0]["faceAttributes"]["gender"]
if gender==genderPrediction:
success = True
face_entry = Entity()
face_entry.PartitionKey = partition_name
face_entry.RowKey = file_name
face_entry.Result = json.dumps(faces)
face_entry.DetectionSuccess = success
self.table_service.insert_entity(table_name, face_entry)
return success, faces, faceDetected, genderPrediction.lower()
def create_table_entity(details):
entity = Entity()
entity.PartitionKey = "python-" + details.FirstName
entity.RowKey = details.Surname + str(details.Id)
entity.FirstName = details.FirstName
entity.Surname = details.Surname
entity.FullName = details.FullName
return entity
def put_classification_result(self, image_uuid, results):
task = Entity()
task.PartitionKey = self.ImagePartitionKey
task.RowKey = image_uuid
task.results = str(results)
ret = self.table_service.insert_or_replace_entity(
self.table_name, task)
return ret
def save_answer(answer_id, question_id, user_id, result):
answer = Entity()
answer.PartitionKey = answer_id
answer.RowKey = question_id
answer.result = result
answer.created_by = user_id
table_service.insert_entity('fsanswers', answer)
def computeFaceDetectionFacePlusPlus(self,face_image_url, file_name, gender):
table_name = 'FacePlusPlus'
partition_name = 'FacePlusPlus'
boundary = '----------%s' % hex(int(time.time() * 1000))
data = []
data.append('--%s' % boundary)
data.append('Content-Disposition: form-data; name="%s"\r\n' % 'api_key')
data.append(self.faceplusplus_key)
data.append('--%s' % boundary)
data.append('Content-Disposition: form-data; name="%s"\r\n' % 'api_secret')
data.append(self.faceplusplus_secret)
data.append('--%s' % boundary)
data.append('Content-Disposition: form-data; name="%s"\r\n' % 'return_attributes')
data.append('gender')
data.append('--%s' % boundary)
data.append('Content-Disposition: form-data; name="%s"\r\n' % 'image_url')
data.append(face_image_url)
data.append('--%s--\r\n' % boundary)
http_body='\r\n'.join(data)
req=urllib.request.Request(self.faceplusplus_http_url)
req.add_header('Content-Type', 'multipart/form-data; boundary=%s' % boundary)
req.data = str.encode(http_body)
try:
resp = urllib.request.urlopen(req, timeout=5)
qrcont=resp.read().decode("utf-8")
faces = json.loads(qrcont)
success = False
faceDetected = False
genderPrediction = 'None'
if 'faces' in faces.keys():
faceDetected = True
genderPrediction = faces["faces"][0]["attributes"]["gender"]["value"]
if gender.lower()==genderPrediction.lower():
success = True
else:
success = None
faceDetected = None
time.sleep(2)
face_entry = Entity()
face_entry.PartitionKey = partition_name
face_entry.RowKey = file_name
face_entry.Result = json.dumps(faces)
face_entry.DetectionSuccess = success
self.table_service.insert_entity(table_name, face_entry)
return success, faces, faceDetected, genderPrediction.lower()
except urllib.request.HTTPError as e:
return None, None, None, None
def add_order(table_service):
order = Entity()
order.PartitionKey = 'ordersSTC'
order.RowKey = '002'
order.customer = 'Bismark'
order.po = '200'
order.podate = '05/20/2020'
order.deldate = '05/24/2020'
order.qty = '800'
order.presentation = 'Flobin'
order.order = '8500687926'
table_service.insert_entity('ordertable', order)
def main(req: func.HttpRequest) -> func.HttpResponse:
logging.info('Python HTTP Submit trigger received a request')
logging.debug('Creating blob service')
table_service = TableService(
account_name=os.getenv('AZURE_STORAGE_ACCOUNT'),
account_key=os.getenv('AZURE_STORAGE_ACCESS_KEY'))
headers_dict = {
"Access-Control-Allow-Credentials": "true",
"Access-Control-Allow-Origin": "*",
"Access-Control-Allow-Methods": "Post"
}
schema = submit_schema.SubmitMessageSchema()
try:
job_dict = schema.loads(req.get_body())
except ValidationError:
error = f'Failed to validate the submit message'
return func.HttpResponse(error, headers=headers_dict, status_code=400)
table_name = os.getenv('AZURE_TABLE_NAME')
table_service.create_table(table_name)
guid = uuid.uuid4()
try:
job_dict = schema.dump(job_dict)
except ValidationError:
error = f'Failed to submit job'
return func.HttpResponse(error, headers=headers_dict, status_code=400)
entity = Entity()
entity.PartitionKey = 'await'
entity.RowKey = str(guid)
entity.Error = ""
entity.area_name = job_dict['area_name']
entity.crop = job_dict['crop']
entity.planting_date = job_dict['planting_date']
entity.irrigated = job_dict['irrigated']
entity.fraction = job_dict['fraction']
entity.geometry = json.dumps(job_dict['geometry'])
try:
table_service.insert_entity(table_name, entity)
except TypeError:
error = f'Failed to insert to table'
return func.HttpResponse(error, headers=headers_dict, status_code=400)
response_dict = {}
response_dict['guid'] = guid
schema = submit_schema.SubmitResponseSchema()
response_message = schema.dumps(response_dict)
return func.HttpResponse(response_message,
headers=headers_dict,
mimetype='application/json')
def main(req: func.HttpRequest) -> func.HttpResponse:
logging.info('Python HTTP trigger function processed a request.')
CF.BaseUrl.set("https://emotiontrack.cognitiveservices.azure.com/face/v1.0")
CF.Key.set("4a1e0d41a8494d71ac0b9028464d8e62")
rowkey = req.params.get('rowkey')
if not rowkey:
logging.error("Missing parameter(s)")
return func.HttpResponse("Missing one or more parameter.", status_code=400)
face = req.get_json()
face_rect = face['faceRectangle']
table = TableService(connection_string=conn_string)
if not table:
logging.error("Failed to connect to the storage")
return func.HttpResponse("Failed to connect to the storage. Please try again later.", status_code=500)
test_img = getFaceImage(table, rowkey, face_rect)
test_imgIO = io.BytesIO()
test_img.save(test_imgIO, format='JPG')
entities = table.query_entities(table_name, filter=None)
isMatch = False
for entity in entities:
img = getFaceImage(table, entity.RowKey, entity.rect)
imgIO = io.BytesIO()
img.save(imgIO, format='JPG')
try:
res = CF.face.verify(test_imgIO, imgIO)
if res['isIdentical']:
# update entry
entity.RowKey = rowkey
entity.rect = face_rect
table.update_entity(table_name, entity)
isMatch = True
break
if not isMatch:
# new entry
entity = Entity()
entity.PartitionKey = "1"
entity.RowKey = str(uuid.uuid4())
entity.rect = face_rect
table.insert_entity(table_name, entity)
return func.HttpResponse(entity.RowKey, status_code=200)
def upload_price(self, price, fuel_type, location):
entry = Entity()
try:
entry.PartitionKey = "trondelag"
entry.RowKey = str(uuid.uuid4()) # Generate new random UUID
entry.price = price
entry.location = location
entry.fueltype = fuel_type
self.table_service.insert_entity(self.table_name, entry)
except AttributeError:
print("Error trying to upload: Fuel type '" + fuel_type +
"' Price '" + price + "'")
return "Something went wrong. Try check your syntax"
return "Price inserted successfully"
def data_load(self):
data_set = {
"required-modules": [
"custom-vnet|azurerm", "custom-sg|azurerm",
"custom-blob|azurerm", "custom-vpc|aws", "custom-sg|aws"
],
"approved-instances": [
"Standard_A1_v2|azurerm", "Standard_A2_v2|azurerm",
"Standard_A4_v2|azurerm", "Standard_A8_v2|azurerm",
"t3.micro|aws", "t3.small|aws", "t3.medium|aws", "t3.large|aws"
],
"prohibited-resources": [
"azurerm_resource_group|azurerm",
"azurerm_virtual_network|azurerm",
"azurerm_network_security_group|azurerm",
"azurerm_subnet_network_security_group_association|azurerm",
"aws_internet_gateway|aws", "aws_route|aws",
"aws_route_table|aws", "aws_route_table_association|aws",
"aws_subnet|aws", "aws_vpc|aws", "aws_security_group|aws"
],
"allowed-resources": [
"azurerm_virtual_machine|azurerm",
"azurerm_network_interface|azurerm",
"azurerm_public_ip|azurerm", "azurerm_storage_account|azurerm",
"aws_instance|aws", "aws_s3_bucket|aws",
"aws_s3_bucket_policy|aws"
],
"prevent-deletion": ["true"],
"default-provider": ["azurerm"],
"mandatory-tags": ["Department", "Environment"],
"max-cost": ["100"],
"ddb-encryption": ["true"],
"no-star-access": ["true"]
}
# delete all entries
items = self.table_service.query_entities(self.table_name)
for itm in items:
self.table_service.delete_entity(self.table_name, itm.PartitionKey,
itm.RowKey)
# add all entries
for category in data_set:
for value in data_set[category]:
item = Entity()
item.PartitionKey = category
item.RowKey = value
self.table_service.insert_entity(self.table_name, item)
return True
def add_order(table_service, req_body):
row_key = get_rows(table_service) + 1
print(row_key)
order = Entity()
order.PartitionKey = req_body.get('PartitionKey')
order.RowKey = '00' + str(row_key)
order.customer = req_body.get('customer')
order.po = req_body.get('po')
order.podate = req_body.get('poDate')
order.deldate = req_body.get('delDate')
order.qty = req_body.get('qty')
order.presentation = req_body.get('presentation')
order.order = req_body.get('order')
table_service.insert_entity('ordertable', order)
def store_feedback_skills(job_id, hm_id, cand_id, skills_scores,
recommendation, org):
try:
task = Entity()
task.PartitionKey = str(uuid.uuid4())
task.HmId = hm_id
task.RowKey = str(cand_id)
now = datetime.now()
task.LastUpdated = str(now)
task.SkillScores = json.dumps(skills_scores)
task.JobId = str(job_id)
table_service.insert_or_replace_entity(table_name, task)
except:
raise
def main(req: func.HttpRequest) -> func.HttpResponse:
logging.info('Python HTTP trigger function processed a request.')
# logging.info(table)
new_name = req.params.get('name')
new_school = req.params.get('school')
new_person = Entity()
new_person.PartitionKey = "1"
new_person.RowKey = str(uuid.uuid4())
new_person.name = new_name
new_person.school = new_school
etag = table.insert_entity(table_name, new_person)
return func.HttpResponse(str(new_person.RowKey), status_code=200)
def insert_sub_date_entry(self, entry):
sub_date = Entity()
sub_date.PartitionKey = entry.subreddit
sub_date.RowKey = entry.title
sub_date.created_utc = entry.created_utc
sub_date.post_id = entry.post_id
try:
self.table_service.insert_or_replace_entity(
'mostrecentsubdate', sub_date)
except TypeError as error:
print(error)
print(
f"The mostrecentsubdate object is formatted incorrectly and was not updated. One of the parameters is not an int, str, bool or datetime, or defined custom EntityProperty. Continuing..."
)
def add_to_list(self, list_name, value, provider=None):
pkey = ""
if provider is not None:
pkey = "|" + provider
item = Entity()
item.PartitionKey = list_name
item.RowKey = value + pkey
main_list = self.get_list(list_name, provider)
try:
self.table_service.insert_entity(self.table_name, item)
except ValueError:
pass
else:
main_list.append(value)
return main_list
def set_container_location():
# if POST is not JSON or does not contain a trackerId abort
if not request.json or 'DeviceId' not in request.json:
abort(400)
e = Entity()
e.PartitionKey = 'container'
e.RowKey = request.json['DeviceId']
e.device_id = request.json['DeviceId']
e.latitude = request.json['Properties']['1012']
e.longitude = request.json['Properties']['1013']
e.time = request.json['Properties']['5018']
table_service.insert_or_replace_entity('emerson', e)
# return success with submitted shipping location
return jsonify(e), 201
def add_entity(StoreName, Address, MaxCapacity, Action, Value, ZipCode, IP,
DateTime):
#instantiate new entity
row = Entity()
row.PartitionKey = Address #store location serves as the partition key
row.RowKey = DateTime #timestamp serves as the row key
previous = get_most_recent_entity(StoreName, Address)
#if this is the first entity we are adding
if previous is None:
if MaxCapacity == None or ZipCode == None or IP == None:
return False
row.MaxCapacity = MaxCapacity
row.ZipCode = ZipCode
row.IP = IP
if Action == 'inc':
row.CurrentOccupancy = Value
elif Action == 'dec':
row.CurrentOccupancy = str(int(Value) * -1)
else:
return False
# otherwise use previous entity to get previous CurrentOccupancy and other parameters if necessary
else:
if MaxCapacity == None:
row.MaxCapacity = previous.MaxCapacity
else:
row.MaxCapacity = MaxCapacity
if ZipCode == None:
row.ZipCode = previous.ZipCode
else:
row.ZipCode = ZipCode
if IP == None:
row.IP = previous.IP
else:
row.IP = IP
if Action == 'inc':
row.CurrentOccupancy = str(
int(previous.CurrentOccupancy) + int(Value))
elif Action == 'dec':
row.CurrentOccupancy = str(
int(previous.CurrentOccupancy) - int(Value))
else:
return False
#insert entity into table for the given StoreName
table_service.insert_entity(StoreName, row)
return True