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* Feat: expose HTTP timeout on built-in workflow steps Allow request, webhook, and notification steps to set an optional timeout (Go duration string) that is forwarded to http.#HTTPDo as request.timeout, so slow HTTP calls are no longer stuck at the 3s default. Signed-off-by: shaurya2k06 <shaurya2k06@gmail.com> * Feat: Made requested changes Signed-off-by: shaurya2k06 <shaurya2k06@gmail.com> * Fix: align timeout duration regex with Go ParseDuration Accept "0" and leading-dot fractions like ".5s", matching time.ParseDuration more closely while still rejecting unit-less values such as "30". Signed-off-by: shaurya2k06 <shaurya2k06@gmail.com> --------- Signed-off-by: shaurya2k06 <shaurya2k06@gmail.com>
2.1 KiB
2.1 KiB
apiVersion: core.oam.dev/v1beta1
kind: Application
metadata:
name: first-vela-workflow
namespace: default
spec:
components:
- name: express-server
type: webservice
properties:
image: oamdev/hello-world
port: 8000
traits:
- type: ingress
properties:
domain: testsvc.example.com
http:
/: 8000
workflow:
steps:
- name: dingtalk-message
type: notification
properties:
timeout: 30s
dingding:
# the DingTalk webhook address, please refer to: https://developers.dingtalk.com/document/robots/custom-robot-access
url:
value: <url>
message:
msgtype: text
text:
content: Workflow starting...
- name: application
type: apply-application
- name: slack-message
type: notification
properties:
timeout: 30s
slack:
# the Slack webhook address, please refer to: https://api.slack.com/messaging/webhooks
url:
secretRef:
name: <secret-key>
key: <secret-value>
message:
text: Workflow ended.
lark:
url:
value: <lark-url>
message:
msg_type: "text"
content: "{\"text\":\" Hello KubeVela\"}"
email:
from:
address: <sender-email-address>
alias: <sender-alias>
password:
# secretRef:
# name: <secret-name>
# key: <secret-key>
value: <sender-password>
host: <email host like smtp.gmail.com>
port: <email port, optional, default to 587>
to:
- kubevela1@gmail.com
- kubevela2@gmail.com
content:
subject: test-subject
body: test-body
Expected outcome
We can see that before and after the deployment of the application, the messages can be seen in the corresponding group chat.