This topic was automatically generated from Slack. You can find the original thread here.
is there a code example for $.respond() in Python?
Certainly! Here’s a code example of using pd.respond() in Python to return an HTTP response from a Pipedream workflow: def handler(pd: "pipedream"): pd.respond({ "status": 200, "body": { "message": "Everything is ok" } }) Make sure to include at least the body and status keys in your pd.respond argument. The body must be a JSON serializable object or dictionary. Also, ensure your workflow’s HTTP trigger is configured to allow a custom response. For more details, you can refer to the Pipedream Python documentation.
, but how do you ensure your workflow’s HTTP trigger is configured to allow a custom response?
, I keep getting “The workflow trigger is not compatible with pd.respond”
It seems like you’re encountering an issue with using pd.respond in your workflow. This error typically occurs when the workflow’s trigger is not set up to handle custom HTTP responses. Here are a few things you can check: 1. Ensure the Trigger is HTTP-based: pd.respond is used to return HTTP responses, so your workflow must be triggered by an HTTP request. Make sure your workflow is using an HTTP trigger. 2. Configure the HTTP Trigger for Custom Responses: You need to configure your HTTP trigger to allow custom responses. This can be done in the Pipedream UI by selecting the HTTP trigger step and enabling the option for custom responses. 3. Check the Workflow Code: Ensure that your pd.respond call includes at least the status and body keys, and that the body is a JSON-serializable object. Here’s an example: ```
def handler(pd: “pipedream”): pd.respond({ “status”: 200, “body”: { “message”: “Everything is ok” } })
, I used a HTTP trigger but now I get this error: HTTP_RESPONSE_DISALLOWED
The error HTTP_RESPONSE_DISALLOWED typically occurs when a workflow attempts to send an HTTP response in a context where it’s not allowed. This can happen if the workflow is trying to send a response after the HTTP request has already been completed or if there’s a misconfiguration in the workflow. To help resolve this issue, could you provide more details about your workflow setup? Specifically: 1. What actions or code steps are you using after the HTTP trigger? 2. Are you trying to send an HTTP response manually in your workflow? 3. Have you made any recent changes to the workflow that might have triggered this error? With more information, I can provide more specific guidance. If you’re still having trouble, you can also visit Support - Pipedream for additional support options.
, yes I’m trying to send an HTTP response manually in your workflow?
To send an HTTP response manually in a Pipedream workflow, you can use the $.respond() function. This function allows you to customize the HTTP response that your workflow sends back when triggered by an HTTP request. Here’s a basic example of how you can use it: ```
export default defineComponent({ async run({ steps, $ }) { $.respond({ status: 200, headers: {}, body: { message: “hello world!”, }, }); }, });
, I used python so my code is pd.respond({
“status”: 200,
“body”: { content
}
})
It looks like you’re trying to use the pd.respond() method in a Python step to return an HTTP response. Here’s a basic example of how you can structure your code: def handler(pd: "pipedream"): content = { "message": "Your custom message here" } pd.respond({ "status": 200, "body": content }) Make sure that the content variable is a JSON-serializable object or dictionary. If you need further assistance or have specific questions about your implementation, feel free to ask!
, I’m almost there, how do I specify a header in the pd.respond call?
To specify a header in the pd.respond call in a Python Pipedream workflow, you can include a headers key in the dictionary you pass to pd.respond. Here’s an example: def handler(pd: "pipedream"): pd.respond({ "status": 200, "body": { "message": "Everything is ok" }, "headers": { "Content-Type": "application/json", "Custom-Header": "CustomValue" } }) In this example, the headers dictionary includes a Content-Type header and a custom header. You can add any headers you need in a similar manner.
