I am automating Dialogflow CX using Python client libraries. That includes agent/intent/entity etc. creation/updation/deletion.
But for the first time run, I am encountering the below error from python.
If I login to console and set the location from there and rerun the code, it is working fine. I am able to create agent.
Followed this URL of GCP -
https://cloud.google.com/dialogflow/cx/docs/concept/region
I am looking for code to automate the region & location setting before running the python code. Kindly provide me with the code.
Below is the code I am using to create agent.
Error -
google.api_core.exceptions.FailedPrecondition: 400 com.google.apps.framework.request.FailedPreconditionException: Location settings have to be initialized before creating the agent in location: us-east1. Code: FAILED_PRECONDITION
grpc._channel._InactiveRpcError: <_InactiveRpcError of RPC that terminated with:
status = StatusCode.FAILED_PRECONDITION
details = "com.google.apps.framework.request.FailedPreconditionException: Location settings have to be initialized before creating the agent in location: us-east1. Code: FAILED_PRECONDITION"
debug_error_string = "{"created":"@1622183899.891000000","description":"Error received from peer ipv4:142.250.195.170:443","file":"src/core/lib/surface/call.cc","file_line":1068,"grpc_message":"com.google.apps.framework.request.FailedPreconditionException: Location settings have to be initialized before creating the agent in location: us-east1. Code: FAILED_PRECONDITION","grpc_status":9}"
main.py -
# Import Libraries
import google.auth
import google.auth.transport.requests
from google.cloud import dialogflowcx as df
from google.protobuf.field_mask_pb2 import FieldMask
import os, time
import pandas as pd
# Function - Authentication
def gcp_auth():
cred, project = google.auth.default(scopes=["https://www.googleapis.com/auth/cloud-platform"])
auth_req = google.auth.transport.requests.Request()
cred.refresh(auth_req)
# Function - Create Agent
def create_agent(agent_name, agent_description, language_code, location_id, location_path):
if location_id == "global":
agentsClient = df.AgentsClient()
else:
agentsClient = df.AgentsClient(client_options={"api_endpoint": f"{location_id}-dialogflow.googleapis.com:443"})
agent = df.Agent(display_name=agent_name, description=agent_description, default_language_code=language_code, time_zone=time_zone, enable_stackdriver_logging=True)
createAgentRequest = df.CreateAgentRequest(agent=agent, parent=location_path)
agent = agentsClient.create_agent(request=createAgentRequest)
return agent```
