def main(event: func.EventHubEvent):
try:
logging.info('TicketValidation function processed an event: %s',
event.get_body().decode('utf-8'))
# Processing Ticket Validation Requirements
# Simulating call to 3rd party services by putting a random wait
sleep(randint(1, 10))
msgObjList = json.loads(event.get_body().decode('utf-8'))
msgObj = msgObjList[0]
rand = randint(0, 2)
# This is currently returning the values 0 or 1 randomly
# and enriching message with added data fields
if (rand == 0):
msgObj["ticketAvailable"] = 0
else:
msgObj["ticketAvailable"] = 1
msgObj["timeProcessed"] = datetime.utcnow()
# Add code based on Architecure decision
except Exception as e:
logging.error(e)
def main(event: func.EventHubEvent):
logging.info('Function triggered to process a message: ', event.get_body())
logging.info(' EnqueuedTimeUtc =', event.enqueued_time)
logging.info(' SequenceNumber =', event.sequence_number)
logging.info(' Offset =', event.offset)
logging.info('Python EventHub trigger processed an event: %s',
event.get_body().decode('utf-8'))
def main(event: func.EventHubEvent, doc: func.Out[func.Document]):
logging.info('Function triggered to process a message: %s',
event.get_body())
logging.info(' EnqueuedTimeUtc = %s', event.enqueued_time)
logging.info(' SequenceNumber = %s', event.sequence_number)
logging.info(' Offset = %s', event.offset)
request_body = event.get_body()
doc.set(func.Document.from_json(request_body))
def main(event: func.EventHubEvent) -> str:
#logging.info('Python EventHub trigger processed an event: %s', event.get_body().decode('utf-8'))
logging.info('WOPS: %s', event.get_body())
pack = vic.vicpack() # instantiate a vicpack class parser
pack.add(event.get_body().decode('utf-8')) # add measurement
pack.detail = True # when self.__str__ is invoked, print all packet contents
pack.prefix = False # do not invoke SI-prefix parser
print(pack)
print(pack.export())
return "{}".format(pack.export())
def main(event: func.EventHubEvent):
logger.info(
f'Processing message from cloud_scales event hub and pushing to event_hub'
)
logger.debug('Python EventHub trigger processed an event: %s',
event.get_body().decode('utf-8'))
message = loads(event.get_body().decode('utf-8'))
logger.debug(f"received message: {message}")
message['datetime'] = dateutil_parse(message['published_at']).timestamp()
logger.debug(f'composed message {dumps(message)}')
return dumps(message)
def main(event: func.EventHubEvent, outputblob: func.Out[func.InputStream]):
logging.info('### Message received!')
logging.info('DeviceId: ' +
str(event.iothub_metadata['connection-device-id']))
logging.info('Time: ' + str(event.iothub_metadata['enqueuedtime']))
logging.info('SequenceNumber: ' + str(event.sequence_number))
logging.info('=== START MESSAGE BODY ===')
logging.info(event.get_body())
logging.info('=== END MESSAGE BODY ===')
# Send to blob storage, dump the unmodified JSON payload
outputblob.set(event.get_body())
def main(event: func.EventHubEvent):
handler = LoggingHandler(os.environ['APPINSIGHTS_INSTRUMENTATIONKEY'])
logging.basicConfig(handlers=[ handler ], format='%(levelname)s: %(message)s', level=logging.DEBUG)
tc = TelemetryClient(os.environ['APPINSIGHTS_INSTRUMENTATIONKEY'])
tc.track_event("Incoming event")
tc.flush()
logging.info('Function triggered to process a message: %s', event)
logging.info(' body: %s', event.get_body())
logging.info(' EnqueuedTimeUtc: %s', event.enqueued_time)
logging.info(' SequenceNumber: %s', event.sequence_number)
logging.info(' Offset: %s', event.offset)
logging.info(' Partition: %s', event.partition_key)
logging.info(' Metadata: %s', event.iothub_metadata)
table_service = TableService(connection_string=os.environ['AzureTableConnectionString'])
for datapoint in json.loads(event.get_body()):
# Expected data format:
# {"timestamp": 1564598054, "deviceid": "Node1", "scale": 2, "temperature": 1.1,"weight": 10000}
if datapoint is not None and 'deviceid' in datapoint and \
'timestamp' in datapoint and 'scale' in datapoint and \
'weight' in datapoint:
logging.debug(' datapoint: %s', (datapoint))
# deviceid is used as partition key.
# {timestamp}-{scale} is used as RowKey
# timestamp and scale number are duplicated as an int columns
# to keep them searchable. The rest of the datapoint elements
# are added as columns as well.
history = {}
history['PartitionKey'] = datapoint.pop('deviceid')
history['RowKey'] = str(datapoint['timestamp']) + '-' + str(datapoint['scale'])
history.update(datapoint.items())
logging.debug('history: %s' % (history))
table_service.insert_entity(TABLE_NAME_HISTORICAL_DATA, history)
logging.info('Added historical table data: %s', (history))
# Touch/create the row in the config table for each reported scale with latest weight
configupdate = {}
configupdate['PartitionKey'] = history['PartitionKey']
configupdate['RowKey'] = str(history['scale'])
configupdate['weight'] = history['weight']
if 'temperature' in history:
configupdate['temperature'] = history['temperature']
logging.info('config update: %s' % (configupdate))
logging.info('Writing to table: %s' % (TABLE_NAME_CONFIGURATION))
table_service.insert_or_merge_entity(TABLE_NAME_CONFIGURATION, configupdate)
logging.info('Updated configuration table entry: %s', (configupdate))
else:
logging.info(' Invalid datapoint: %s', (datapoint))
def main(event: func.EventHubEvent,
fromeventhub: func.Out[func.Document]) -> str:
try:
logging.info('Function triggered to process a message: %s',
event.get_body(), '\n EnqueuedTimeUtc =',
event.enqueued_time, '\n SequenceNumber =',
event.sequence_number, '\n Offset =', event.offset)
except Exception as e:
print(e)
pass
event_body = event.get_body()
fromeventhub.set(func.Document.from_json(event_body))
def main(event: func.EventHubEvent):
logging.info('Python EventHub trigger processed an event: %s',
event.get_body().decode('utf-8'))
log_list = json.loads(event.get_body().decode('utf-8'))
single_log = log_list[0]
#if edge
try:
if single_log['data']["type"] == "edge":
insert_row(single_log['data']['ismoving'], False)
#else is a list
except:
current = single_log['data'][0]
last = single_log['data'][1]
insert_row(is_moving(last, current), True, current["x"], current["y"],
current["z"])
def main(event: func.EventHubEvent):
w = Widget.from_json(event.get_body().decode('utf-8'))
c = Widget_Classification()
c.classified_time = datetime.utcnow()
c.mean = random.randrange(1, 100)
c.std = random.randrange(1, 2)
c.std_dist = random.randrange(1, 3)
c.threshold = random.randrange(1, 100)
w.classification = c
(result, good) = c.is_good()
assert result.success
rowId = uuid.uuid4().hex
if not good:
sqlDao = WidgetSqlDAO(connectODBC)
sqlDao.persistWidget(w, rowId)
sqlDao.disconnect()
# Create a sample entity to insert into the table
tableDao = WidgetTableDAO(connectTable(), "Predictions")
tableDao.persistWidget(w, rowId)
result = w.to_json()
logging.info('Python EventHub trigger processed an event: %s', result)
return result
def main(event: func.EventHubEvent):
devid = event.enqueued_time
stateUpdates = {}
messages = json.loads(event.get_body().decode('utf-8'))
for msg in messages:
environment = {}
parseTelemetry(msg, environment, partitionKey)
calibrationData = getCalibrationData(calibrationDictionary,
msg['deviceId'])
if calibrationData is not None:
environment["Celsius"] = calibrate(
environment["Celsius"], calibrationData["TemperatureSlope"],
calibrationData["TemperatureYIntercept"])
environment["Humidity"] = calibrate(
environment["Humidity"], calibrationData["HumiditySlope"],
calibrationData["HumidityYIntercept"])
environment["hPa"] = calibrate(
environment["hPa"], calibrationData["PressureSlope"],
calibrationData["PressureYIntercept"])
stateUpdates[msg['deviceId']] = environment
for item in stateUpdates:
table_service.insert_or_replace_entity(deviceStateTable, environment)
notifyClients(signalrUrl, environment)
def main(event: func.EventHubEvent):
'''
Entrypoint for Function 'process' of Azure Function App 'iothub-to-mongodb'.
Read messages IoT Hub and insert them into MongoDB. By setting 'cardinality' to
'many' in the function.json the body of the event objects contains a list of messages
instead of single messages (batch reads).
'''
MONGO_URI = os.environ["MONGO_URI"]
if MONGO_URI == None:
raise ValueError('No MongoDB Cluster provided. Will exit.')
#read messages from event and group them by action
messages = json.loads(event.get_body().decode('utf-8'))
grouped_messages = defaultdict(list)
for msg in messages:
action = msg.pop('action', 'none')
grouped_messages[action].append(msg)
#messages with action == fullRefresh are split into status and station messages
split_full_refresh_messages(grouped_messages)
mongo_client = MongoClient(MONGO_URI)
db = mongo_client.citibike
#do bulk inserts for both types of messages
refresh_stations(db, grouped_messages.get('refreshStation', []))
refresh_status(db, grouped_messages.get('refreshStatus', []))
return
def main(event: func.EventHubEvent):
message_body = event.get_body().decode()
partition = event.metadata['PartitionContext']['PartitionId']
logging.info(
f'EH: Function triggered to process a message: {message_body}')
logging.info(f'EH: EnqueuedTimeUtc = {event.enqueued_time}')
logging.info(f'EH: PartitionId = {partition}')
logging.info(f'EH: SequenceNumber = {event.sequence_number}')
logging.info(f'EH: Offset = {event.offset}')
# Metadata
for key in event.metadata:
logging.info(
f'EH: Metadata: {key} of type {type(event.metadata[key])} = {event.metadata[key]}'
)
blobContent = {
"enqueuedAt": f'{event.enqueued_time}',
"partitionId": partition,
"eventContent": message_body
}
blobName = f'{blobContent["partitionId"]}/{event.enqueued_time.year}/{event.enqueued_time.month}/{event.enqueued_time.day}/{event.enqueued_time.hour}_{event.sequence_number}_{event.offset}'
sa_cs = os.environ["StorageAccountConnectionString"]
sa_container = os.environ["StorageAccountContainerName"]
blob = BlobClient.from_connection_string(conn_str=sa_cs,
container_name=sa_container,
blob_name=blobName)
blob.upload_blob(json.dumps(blobContent))
def main(event: func.EventHubEvent):
cosmosdb_order_masterKey = os.environ.get('cosmosdb_order_masterKey')
cosmosdb_order_host = os.environ.get('cosmosdb_order_host')
cosmosdb_order_databaseId = os.environ.get('cosmosdb_order_databaseId')
cosmosdb_order_collectionId = os.environ.get('cosmosdb_order_collectionId')
event_body = event.get_body().decode('utf-8')
logging.info(event_body)
combineOrderContent = os.environ.get('combineOrderContent')
response = requests.post(combineOrderContent, data=event_body)
doc_json = response.json()
client = document_client.DocumentClient(
cosmosdb_order_host, {'masterKey': cosmosdb_order_masterKey})
for sale in doc_json:
dbLink = 'dbs/' + cosmosdb_order_databaseId
collLink = dbLink + '/colls/' + cosmosdb_order_collectionId
sale['salesNumber'] = sale['headers']['salesNumber']
client.CreateDocument(collLink, sale)
def main(event: func.EventHubEvent):
messages = json.loads(event.get_body().decode('utf-8'))
for msg in messages:
sortResponse = sorted(msg,
key=lambda k: k['probability'],
reverse=True)[0]
sortResponse['PartitionKey'] = partitionKey
sortResponse['RowKey'] = sortResponse['tagName']
# Note, Count read and update is not transactional
try:
entity = table_service.get_entity(imageScannerTable, partitionKey,
sortResponse['tagName'])
if 'Count' not in entity:
count = 0
else:
count = entity['Count']
except:
count = 0
sortResponse['Count'] = count + 1
table_service.insert_or_replace_entity(imageScannerTable, sortResponse)
def main(event: func.EventHubEvent, cosmoDocument: func.Out[func.Document]):
logging.info('Python EventHub2Cosmo trigger processed an event: %s',
event.get_body().decode('utf-8'))
try:
# Get Blog feeds
outdata = event.get_body().decode('utf-8').strip('[').strip(
']') # remove the extra charactors by EventHub
logging.info('outdata: %s', outdata) # for debug
# Store output data using Cosmos DB output binding
cosmoDocument.set(func.Document.from_json(outdata))
except Exception as e:
logging.error('Error:')
logging.error(e)
def main(event: func.EventHubEvent, msg: func.Out[func.QueueMessage]):
body = event.get_body().decode('utf-8')
if body != '':
msg.set(body)
logging.info('Python EventHub trigger processed an event: %s', body)
else:
logging.info('Python EventHub trigger error')
def main(event: func.EventHubEvent):
event_json = event.get_body().decode('utf-8')
event_item = json.loads(event_json)
return json.dumps({
'target': 'newDeviceMessage',
'arguments': [event_item]
})
def main(event: func.EventHubEvent):
device_id = event.iothub_metadata['connection-device-id']
message_event = json.loads(event.get_body())["messageEvent"]
logging.info(device_id + " " + message_event)
if message_event == "FARM_DATA_LOAD":
# send farm data back to the device
get_farm_data(device_id)
elif message_event == "RUN_FINISHED":
# update run_id on cosmos
run_id = json.loads(event.get_body())["data"]["runId"]
farm_id = update_run_id(device_id, run_id)
logging.info("Updated run: " + str(run_id) + " " + farm_id)
# invoke ML prediction
response = invoke_pred(farm_id, run_id)
logging.info(response)
def _get_event_data(event: func.EventHubEvent) -> List[Any]:
if isinstance(event, Iterable):
logger.debug('iterable')
return [
loads(s) for s in [e.get_body().decode('utf-8') for e in event]
]
else:
logger.debug('not iterable')
return loads(event.get_body().decode('utf-8'))
def main(event: func.EventHubEvent):
data = event.get_body().decode('utf-8')
telemetry = json.loads(data)
for item in telemetry:
temperature = item.get("temperature")
if temperature is not None and type(temperature) is float and 31 < temperature < 40:
print(temperature)
sendTwitterMsg()
def main(event: func.EventHubEvent):
thingspeak_dict = loads(environ.get("thingspeak_keys_dict"))
thingspeak_api = environ.get("thingspeak_api_endpoint")
message = loads(event.get_body().decode('utf-8'))
logger.info(f'Processing eventhub message to send to thingspeak')
logger.debug(f"received message: {message}")
send_message_to_thingspeak(message, thingspeak_dict, thingspeak_api)
logger.debug("Sent to thingspeak")
def main(event: func.EventHubEvent):
payload = event.get_body()
logging.info('Python EventHub trigger processed an event: %s',
event.get_body().decode('utf-8'))
#can we get the body as json
alert_contents = event.get_body().decode('utf-8')
if type(alert_contents) == str:
alerts = json.loads(alert_contents)
else:
alerts = json.load(alert_contents)
logging.info('testing alerts %s', alert_contents)
#https://docs.microsoft.com/en-us/azure/azure-monitor/platform/alerts-common-schema-definitions
for alert in alerts:
[
logging.info(f"Found alert Target ID: {alertTargetID}")
for alertTargetID in alert['data']['essentials']['alertTargetIDs']
]
async def main(event: func.EventHubEvent) -> bytes:
event_dict: typing.Mapping[str, typing.Any] = {
'body': event.get_body().decode('utf-8'),
# Uncomment this when the EnqueuedTimeUtc is fixed in azure-functions
# 'enqueued_time': event.enqueued_time.isoformat(),
'partition_key': event.partition_key,
'sequence_number': event.sequence_number,
'offset': event.offset,
'metadata': event.metadata
}
return json.dumps(event_dict)
def main(event: func.EventHubEvent):
eventString = event.get_body().decode('utf-8')
sensorId = event.metadata.get("SystemProperties",
{}).get("iothub-connection-device-id", None)
props = event.metadata.get("Properties", {})
testDevice = (props.get("testDevice", "false") == "true")
logging.info(f"Event properties: {props}, testDevice={testDevice}")
if sensorId == None:
raise Error("Missing device id")
blob.storeData(sensorId, eventString, testDevice)
def main(event: func.EventHubEvent):
storage_orders_conn_str = os.environ.get('storage_orders_conn_str')
storage_orders_container = os.environ.get('storage_orders_container')
eventhub_ns_sap_sl = os.environ.get('eventhub_ns_sap_sl')
eventhub_order_combine_files = os.environ.get('eventhub_order_combine_files')
container = ContainerClient.from_connection_string(conn_str = storage_orders_conn_str, container_name = storage_orders_container)
event_body = event.get_body().decode('utf-8')
logging.info("OrderFileSeeker-event_body" + event_body)
event_json = json.loads(event_body)
for e in event_json:
url = e["data"]["url"]
if 'orders' not in url:
return
url_dirname = os.path.dirname(url)
url_basename = os.path.basename(url)
order_id = re.findall(r'\d+', url_basename)[0]
blobs = list(container.list_blobs(name_starts_with = order_id))
blob_ts = {b['name'] : (b['last_modified'], b['etag']) for b in blobs}
blob_ts_max = max(blob_ts.values())
doc = dict()
if len(blobs) == 3 and blob_ts[url_basename] == blob_ts_max:
for b in blobs:
blob_name = b['name']
file_type = order_file_type.get(re.findall(r'(?<=-)\w+(?=\.)', blob_name)[0].lower())
doc[file_type] = f'{url_dirname}/{blob_name}'
doc_json = json.dumps(doc)
producer = EventHubProducerClient.from_connection_string(conn_str = eventhub_ns_sap_sl, eventhub_name = eventhub_order_combine_files)
try:
event_data_batch = producer.create_batch()
event_data_batch.add(EventData(doc_json))
producer.send_batch(event_data_batch)
finally:
producer.close()
def main(event: func.EventHubEvent):
logging.info('Python EventHub trigger processed an event: %s',
event.get_body().decode('utf-8'))
eventBody = event.get_body().decode('utf-8')
apiKey = os.environ['SENDGRID_API_KEY']
if ("test" in eventBody):
print("custom event found")
messageText = "custom event found"
message = Mail(
from_email='*****@*****.**',
to_emails='*****@*****.**',
subject='Sending with Twilio SendGrid is Fun',
html_content=
'<strong>and easy to do anywhere, even with Python</strong><br>custom event found'
+ '<br>' + eventBody)
try:
sg = SendGridAPIClient(apiKey)
response = sg.send(message)
print(response.status_code)
print(response.body)
print(response.headers)
except Exception as e:
print(str(e))
def main(event: func.EventHubEvent, cosmosDbDoc: func.Out[func.Document]):
logging.info(
'Python HTTP trigger function "ProcessSalesEvents" processed a request.'
)
# Decode event hub binary payload to JSON
message = event.get_body().decode('utf-8')
sale_events = json.loads(message)
logging.info(f'Event Count: {len(sale_events)}')
# Iterate through sales events and load each event in Azure Cosmos DB
for sale_event in sale_events:
newdoc = sale_event
newdoc['id'] = str(uuid.uuid4())
cosmosDbDoc.set(func.Document.from_dict(newdoc))
def main(event: func.EventHubEvent):
# for some reason, when executing in azure, we dont always get an iterable, even with cardinality=many
# so test for it
if isinstance(event, Iterable):
logger.debug('iterable')
event_data = [
loads(s) for s in [e.get_body().decode('utf-8') for e in event]
]
else:
logger.debug('not iterable')
event_data = loads(event.get_body().decode('utf-8'))
logger.info(f'Received trigger for {len(event_data)} items')
logger.debug(f'payload: {dumps(event_data)}')
return _write_to_database(event_data)
def main(event: func.EventHubEvent) -> str:
text = ""
try:
tweet = json.loads(event.get_body().decode('utf-8'))
text = tweet[0]["text"]
logging.info('Python EventHub trigger processed a tweet: %s', text)
except KeyError:
logging.error('Error parsing tweet.')
pass
else:
# Tokenize the tweet and outputs it.
tokenized = p.tokenize(text)
logging.info('Tweet tokenized into: %s', tokenized)
return tokenized