async def main(req: func.HttpRequest, starter: str) -> func.HttpResponse:
client = df.DurableOrchestrationClient(starter)
instance_id = await client.start_new(req.route_params["functionName"], None, "json string")
logging.info(f"Started orchestration with ID = '{instance_id}'.")
return client.create_check_status_response(req, instance_id)
async def main(mytimer: azure.functions.TimerRequest, starter: str):
try:
orchestrator_name = "F_orchestrator"
client = df.DurableOrchestrationClient(starter)
req_params = {
'trigger': 'scheduled',
'source': 'prestashop',
'last_days': '1',
'model': None,
'action': 'full'
}
req_body = {
'status': 'TODO'
}
orc_input = {
'params': req_params,
'body': req_body
}
instance_id = await client.start_new(orchestrator_name, None, req_params)
logger.info(f"Started orchestration with ID = '{instance_id}'.")
except Exception as e:
logger.error("F_prestashop_timer :: {}".format(traceback.print_exc()))
async def main(mytimer: func.TimerRequest, starter: str) -> None:
client = df.DurableOrchestrationClient(starter)
# client = df.DurableClient(starter)
instance_id = await client.start_new("Fctn_Orchestrator_Preprocess", None,
None)
logging.info(f"Started orchestration with ID = '{instance_id}'.")
async def main(req: func.HttpRequest, starter: str) -> func.HttpResponse:
try:
orchest_name = "functionName"
client = df.DurableOrchestrationClient(starter)
called_orchest = req.route_params.get(orchest_name)
client_input = None
if req.get_body():
client_input = req.get_json()
if req.params:
client_input = dict(req.params)
if req.params and req.get_body():
logging.warn("Do not support query params & body in the same time")
instance_id = await client.start_new(called_orchest, None,
client_input)
logging.info(f"Started orchestration with ID = '{instance_id}'.")
return client.create_check_status_response(req, instance_id)
except Exception as e:
str_issue = "Client initialisation Issue: {}".format(e)
logging.error(str_issue, traceback.format_exc())
return func.HttpResponse(str_issue, status_code=500)
async def main(req: func.HttpRequest, starter: str) -> func.HttpResponse:
client = df.DurableOrchestrationClient(starter)
#Get function parameters
functionName = req.route_params["FunctionName"]
startTimestamp = req.route_params["StartTimestamp"]
endTimestamp = req.route_params["EndTimestamp"]
#Get connection to the database
db = getDatabaseConnection()
cursor = db.cursor()
#Setup settings
cursor.execute("DELETE FROM Settings")
query = "INSERT INTO settings(process_name, start_tstamp, end_tstamp) VALUES('%s', '%s', '%s')" % (
functionName, startTimestamp, endTimestamp)
cursor.execute(query)
#Close the connection
db.commit()
cursor.close()
db.close()
instance_id = await client.start_new(functionName, None, None)
return client.create_check_status_response(req, instance_id)
async def main(msg: func.ServiceBusMessage, starter: str):
logging.info("starting analyze_text_handler")
message_body = msg.get_body().decode('utf-8')
logging.info(f"message body: {message_body}")
message_details = json.dumps({
'message_id': msg.message_id,
'body': msg.get_body().decode('utf-8'),
'content_type': msg.content_type,
# 'expiration_time': msg.expiration_time,
'label': msg.label,
'partition_key': msg.partition_key,
'reply_to': msg.reply_to,
'reply_to_session_id': msg.reply_to_session_id,
# 'scheduled_enqueue_time': msg.scheduled_enqueue_time,
'session_id': msg.session_id,
'time_to_live': msg.time_to_live,
'to': msg.to,
'user_properties': msg.user_properties,
'metadata' : msg.metadata
})
logging.info(message_details)
# State the orchestration function
logging.info("starting analyze_text_orchestration")
client = df.DurableOrchestrationClient(starter)
instance_id = await client.start_new("analyze_text_orchestration", client_input=message_body)
logging.info(f"started orchestration with instance id: {instance_id}")
# How to manage an orchestration instance
# https://docs.microsoft.com/en-us/azure/azure-functions/durable/durable-functions-instance-management?tabs=python
async def main(req: func.HttpRequest, starter: str) -> func.HttpResponse:
client = df.DurableOrchestrationClient(starter)
instance_id = await client.start_new(
orchestration_function_name="Orchestrator",
instance_id=None,
client_input={
a:req.params.get(a)
for a in ['publicationCID','publishedDate']
}
)
logging.info(f"Started orchestration with ID = '{instance_id}'.")
csr = client.create_check_status_response(req, instance_id)
A = json.loads(csr.get_body())
logging.info(A.get("statusQueryGetUri"))
## Set StatusQueryGetUri value in SQL
update_row_status(
publicationCID=req.params.get("publicationCID"),
publishedDate=req.params.get("publishedDate"),
uri=A.get("statusQueryGetUri")
)
update_row_status(
publicationCID=req.params.get("publicationCID"),
publishedDate=req.params.get("publishedDate"),
status='Starting'
)
return csr
async def main(req: func.HttpRequest, starter: str) -> func.HttpResponse:
client = df.DurableOrchestrationClient(starter)
functionName = req.route_params["FunctionName"]
entriesNum = req.route_params["NumberOfEntries"]
#SQL database attributes
server = 'server-kymira.database.windows.net'
database = 'database-kymira'
username = '******'
password = '******'
driver = '{ODBC Driver 17 for SQL Server}'
connection = 'DRIVER=' + driver + ';SERVER=' + server + ';PORT=1433;DATABASE=' + database + ';UID=' + username + ';PWD=' + password
query = "DELETE FROM Settings; INSERT INTO Settings(activity_name, entries_num) VALUES('%s', %d)" % (
functionName, int(entriesNum))
with pyodbc.connect(connection) as conn:
with conn.cursor() as cursor:
cursor.execute(query)
instance_id = await client.start_new(functionName, None, None)
logging.info(f"Started orchestration with ID = '{instance_id}'.")
return client.create_check_status_response(req, instance_id)
async def main(req: func.HttpRequest, starter: str) -> func.HttpResponse:
client = df.DurableOrchestrationClient(starter)
instance_id = await client.start_new('PetClassificationOrchestrator', None, int(req.route_params["count"]))
logging.info(f"Started orchestration with ID = '{instance_id}'.")
return client.create_check_status_response(req, instance_id)
async def main(req: func.HttpRequest, starter: str) -> func.HttpResponse:
client = df.DurableOrchestrationClient(starter)
## Get inputs
inputs = {}
# for a,b in []:
# inputs[a] = req.params.get(b)
for f in [
"rowID",
"url",
"name",
"sport",
"endpointID",
"multipleVideoEvent",
"samplingProportion",
"audioTranscript",
'databaseID',
]:
inputs[f] = req.params.get(f)
## Start orchestrator
instance_id = await client.start_new(
orchestration_function_name="Orchestrator",
instance_id=None,
client_input=inputs)
logging.info(f"Started orchestration with ID = '{instance_id}'.")
return client.create_check_status_response(req, instance_id)
async def main(req: func.HttpRequest, starter: str) -> func.HttpResponse:
client = df.DurableOrchestrationClient(starter)
instance_id = await client.start_new("DurableFunctionsOrchestrator", None,
None)
logging.info(f"Started orchestration with ID = '{instance_id}'.")
return client.create_check_status_response(req, instance_id)
async def main(req: func.HttpRequest, starter: str) -> func.HttpResponse:
client = df.DurableOrchestrationClient(starter)
instance_id = await client.start_new('Fctn_Orchestrator_Pipeline',
client_input={"start": "hallo welt"})
logging.info(f"Started orchestration with ID = '{instance_id}'.")
return client.create_check_status_response(req, instance_id)
async def main(req: func.HttpRequest, starter: str) -> func.HttpResponse:
client = df.DurableOrchestrationClient(starter)
num_instances = parse_and_validate_input(req.get_body())
tasks = map(lambda _: client.start_new("SequentialOrchestrator"),
range(num_instances))
await gather(tasks=tasks, max_concurrency=200)
return ""
async def main(req: func.HttpRequest, starter: str) -> func.HttpResponse:
logging.info('Python HTTP trigger function processed a request.')
client = df.DurableOrchestrationClient(starter)
instance_id = await client.start_new("Orchestration", None, None)
logging.info(f"Started orchestration with ID = '{instance_id}'.")
return client.create_check_status_response(req, instance_id)
async def main(req: func.HttpRequest, starter: str) -> func.HttpResponse:
client = df.DurableOrchestrationClient(starter)
num_activities = parse_and_validate_input(req.get_body())
instance_id = await client.start_new("FanOutFanInOrchestrator", None,
num_activities)
logging.info(f"Started orchestration with ID = '{instance_id}'.")
return client.create_check_status_response(req, instance_id)
async def main(req: func.HttpRequest, starter: str) -> func.HttpResponse:
client = df.DurableOrchestrationClient(starter)
payload = json.loads(req.get_body().decode())
instance_id = await client.start_new(req.route_params["functionName"],
client_input=payload)
logging.info(f"Started orchestration with ID = '{instance_id}'.")
return client.create_check_status_response(req, instance_id)
async def main(req: func.HttpRequest, starter: str) -> func.HttpRequest:
client = df.DurableOrchestrationClient(starter)
args = requestparams(json.load())
result = await userAccountId(args.userEmail)
if result.success:
margs = migrationParams(result.msg, args.userEmail)
instance_id = await client.start_new(
req.route_params["orchestrator_function"], margs)
logging.info(f"Started orchestration with ID = '{instance_id}'.")
return client.create_check_status_response(req, instance_id)
async def function_handler(message: func.ServiceBusMessage, starter: str):
for msg in [message]:
client = df.DurableOrchestrationClient(starter)
message_body = msg.get_body().decode("utf-8")
# Log the Service Bus Message as plaintext
#dictionary
msg = json.loads(message_body)
instance_id = await client.start_new('orchestrator', None, json.dumps({ 'moco' : 'A', 'attrib': 'a' }))
instance_id = await client.start_new('orchestrator', None, json.dumps({ 'moco' : 'B', 'attrib': 'b' }))
async def main(msg: func.QueueMessage, starter: str) -> None:
logging.info('Python queue trigger function processed a queue item: %s',
msg.get_body().decode('utf-8'))
client = df.DurableOrchestrationClient(starter)
instance_id = await client.start_new(
orchestration_function_name="Orchestrator",
instance_id=None,
client_input=msg.get_body().decode('utf-8')
)
async def main(req: func.HttpRequest, starter: str) -> func.HttpResponse:
client = df.DurableOrchestrationClient(starter)
test = json.dumps({"name": "John", "age": 30})
instance_id = await client.start_new(req.route_params["functionName"],
None, test)
logging.info(req.get_body())
logging.info(f"Started orchestration with ID = '{instance_id}'.")
return client.create_check_status_response(req, instance_id)
async def main(req: func.HttpRequest, starter: str) -> func.HttpResponse:
user_id = req.params['userid']
client = df.DurableOrchestrationClient(starter)
orchestration_input = {
'user_id': user_id,
'image_count': int(req.route_params["count"])
}
instance_id = await client.start_new('PetClassificationOrchestrator', None,
orchestration_input)
logging.info(f"Started orchestration with ID = '{instance_id}'.")
return client.create_check_status_response(req, instance_id)
async def main(mytimer: func.TimerRequest, starter: str) -> None:
utc_timestamp = datetime.datetime.utcnow().replace(
tzinfo=datetime.timezone.utc).isoformat()
# if mytimer.past_due:
client = df.DurableOrchestrationClient(starter)
logging.info('The timer is past due!')
instance_id = await client.start_new('DurableFunctionsOrchestrator1', None,
None)
logging.info(
f"started orchestration with ID = '{instance_id}' at '{utc_timestamp}'"
)
logging.info(
'Python timer trigger function ran at %s DurableOrchestrationContext',
utc_timestamp)
async def main(myblob: func.InputStream, starter: str):
client = df.DurableOrchestrationClient(starter)
logging.info(f"Python blob trigger function processed blob \n"
f"Name: {myblob.name}\n"
f"Blob Size: {myblob.length} bytes")
instance_id = await client.start_new(
"Orchestrator",
None,
{
"path": myblob.name,
"uri": myblob.uri,
"length": myblob.length
},
)
logging.info(f"Started orchestration with ID = '{instance_id}'.")
async def main(req: func.HttpRequest, starter: str) -> func.HttpResponse:
try:
client = df.DurableOrchestrationClient(starter)
logger.info("request parameters: {}".format(req.params))
expected_params = [
'last_days',
'source',
'model',
'action'
]
# req_params = dict(req.params)
params = {}
# req_body = req.get_body()
req_body = {
'status': 'TODO'
}
for key in expected_params:
params[key] = (req.params[key] if key in req.params.keys() else None)
params['trigger'] = 'http'
models_raw = params['model']
params['model'] = (models_raw.split(',') if models_raw else None)
orc_input = {
'params': params,
'body': req_body
}
instance_id = await client.start_new(req.route_params["functionName"], None, params)
logger.info(f"Started orchestration with ID = '{instance_id}'.")
return client.create_check_status_response(req, instance_id)
except Exception as e:
logger.error("F_starter :: {}".format(e))
async def main(req: func.HttpRequest, starter: str) -> func.HttpResponse:
client = df.DurableOrchestrationClient(starter)
instance_id = await client.start_new(req.route_params["functionName"],
None, None)
logging.info(f"Started orchestration with ID = '{instance_id}'.")
return client.create_check_status_response(req, instance_id)
# const df = require("durable-functions");
# module.exports = async function (context, req) {
# const client = df.getClient(context);
# const instanceId = await client.startNew(req.params.functionName, undefined, req.body);
# context.log(`Started orchestration with ID = '${instanceId}'.`);
# return client.createCheckStatusResponse(context.bindingData.req, instanceId);
# };
async def main(req: func.HttpRequest, starter: str) -> func.HttpResponse:
# try retrieving the body from the request
try:
body = json.loads(req.get_body())
except:
# no body
logging.info("No body provided in the request")
body = {}
# client for an orchestration
client = df.DurableOrchestrationClient(starter)
# call the orchestration function provided in the request with the provided body
instance_id = await client.start_new(req.route_params["functionName"], None, body)
# the function starts the orchestration process and continues here to log and return instanse ids
logging.info(f"Started orchestration with ID = '{instance_id}'.")
return client.create_check_status_response(req, instance_id)
async def main(req: func.HttpRequest, starter: str) -> func.HttpResponse:
## `req` requires parameters:
# 'fileUrl',
# 'imagesAlreadyCreated',
# 'RowID'
client = df.DurableOrchestrationClient(starter)
options = get_options(user='******', req=req)
logging.info(f"options: {options}")
instance_id = await client.start_new(
orchestration_function_name="Orchestrator",
instance_id=None,
client_input=options)
csr = client.create_check_status_response(req, instance_id)
statusQueryGetUri = json.loads(csr.get_body()).get('statusQueryGetUri')
update_row_status(rowID=options['RowID'], uri=statusQueryGetUri)
update_row_status(rowID=options['RowID'],
status=f'Starting - {os.getenv("appName")}')
return client.create_check_status_response(req, instance_id)
async def main(event: func.EventGridEvent, starter: str):
client = df.DurableOrchestrationClient(starter)
logging.info("Python EventGrid trigger processed an event: %s",
event.get_json())
blob = Blob(full_url=event.get_json()["url"])
logging.info(f"Blob: {blob}")
try:
status = await client.get_status(blob.order_id)
instance_id = status.instance_id
logging.info("Got existing orchestrator, with instance id: %s",
instance_id)
except Exception:
instance_id = await client.start_new("Orchestrator", blob.order_id,
None)
logging.info("Started new orchestration, with instance id: %s",
instance_id)
if instance_id:
await client.raise_event(instance_id, blob.file_type, True)
else:
logging.error("Could not start orchestrator for instance: %s",
blob.order_id)
async def main(timer: func.TimerRequest, starter: str):
"""
Pulls up a new instance of AcmeRenewCoordinator.
"""
client = df.DurableOrchestrationClient(starter)
await client.start_new("AcmeRenewCoordinator")
async def main(timer: func.TimerRequest, starter: str) -> None:
client = df.DurableOrchestrationClient(starter)
instance_id = await client.start_new("CovidOrchestrator", None, None)
logging.info(f"Started orchestration with ID = '{instance_id}'.")