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fix: deployment

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This commit is contained in:
Florian Hönicke
2023-04-15 00:51:42 +02:00
parent f7b1688e0a
commit ced758acbd
2 changed files with 25 additions and 18 deletions
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29
src/apis/jina_cloud.py
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@@ -4,11 +4,13 @@ import os
import re
import subprocess
import threading
import time
import webbrowser
from pathlib import Path
import click
import hubble
import requests
from hubble.executor.helper import upload_file, archive_package, get_request_header
from jcloud.flow import CloudFlow
from jina import Flow
@@ -18,9 +20,6 @@ from src.utils.io import suppress_stdout, is_docker_running
from src.utils.string_tools import print_colored
import requests
import time
def wait_until_app_is_ready(url):
is_app_ready = False
while not is_app_ready:
@@ -33,6 +32,7 @@ def wait_until_app_is_ready(url):
pass
time.sleep(0.5)
def open_streamlit_app():
url = "http://localhost:8081/playground"
wait_until_app_is_ready(url)
@@ -56,7 +56,7 @@ def jina_auth_login():
If you just created an account, it can happen that the login callback is not working.
In this case, please cancel this run, rerun your gptdeploy command and login into your account again.
''', 'green'
)
)
hubble.login(prompt='login', redirect_callback=redirect_callback)
@@ -129,25 +129,33 @@ def deploy_on_jcloud(executor_name, microservice_path):
except Exception as e:
print(f'Could not deploy on Jina Cloud. Trying again in 5 seconds. Error: {e}')
time.sleep(5)
except SystemExit as e:
raise SystemExit(f'''
Looks like your free credits ran out.
Please add payment information to your account and try again.
Visit https://cloud.jina.ai/
''') from e
if i == 2:
raise Exception('''
Could not deploy on Jina Cloud.
This can happen when the microservice is buggy, if it requires too much memory or if the Jina Cloud is overloaded.
Please try again later.
Could not deploy on Jina Cloud.
This can happen when the microservice is buggy, if it requires too much memory or if the Jina Cloud is overloaded.
Please try again later.
'''
)
)
print(f'''
Your Microservice is deployed.
Run the following command to start the playground:
streamlit run {os.path.join(microservice_path, "app.py")} --server.port 8081 --server.address 0.0.0.0 -- --host http://{host}
streamlit run {os.path.join(microservice_path, "app.py")} --server.port 8081 --server.address 0.0.0.0 -- --host {host}
'''
)
return host
def run_streamlit_app(app_path):
subprocess.run(['streamlit', 'run', app_path, 'server.address', '0.0.0.0', '--server.port', '8081', '--', '--host', 'grpc://localhost:8080'])
subprocess.run(['streamlit', 'run', app_path, 'server.address', '0.0.0.0', '--server.port', '8081', '--', '--host',
'grpc://localhost:8080'])
def run_locally(executor_name, microservice_version_path):
@@ -176,6 +184,7 @@ We now start the playground for you.
flow.block()
def create_flow_yaml(dest_folder, executor_name, use_docker):
if use_docker:
prefix = 'jinaai+docker'