You should visit Pricing - Pipedream for the latest pricing, but I’ll do my best to answer. To create a workflow using the Pipedream API, you generally need a template ID. The template ID is a unique identifier that represents the workflow’s triggers, steps, and settings. This is typically included in the URL when creating a workflow from a template. For example: https://api.pipedream.com/v1/workflows?template_id=tch_gMfRGo However, if you want to create a workflow purely based on the data you are passing and without using a template ID, you can use the create workflow endpoint. This endpoint allows you to define the workflow’s structure, including triggers and actions, directly in the request payload. Here is an example of how you might structure the request: ```
on { “name”: “My New Workflow”, “steps”: [ { “type”: “trigger”, “name”: “http”, “props”: { “url”: “https://example.com/webhook” } }, { “type”: “action”, “name”: “send_email”, “props”: { “to”: “user@example.com”, “subject”: “Hello World”, “body”: “This is a test email.” } } ] }
To create a workflow using the Pipedream REST API, you can use the create workflow endpoint. Below is an example of how to create a workflow programmatically, including a trigger created from a source with a specific ID. ### Example: Create a Workflow First, ensure you have your Pipedream API Key. Here’s an example of how to create a workflow using the Pipedream REST API: import { axios } from "@pipedream/platform"; export default defineComponent({ props: { pipedream: { type: "app", app: "pipedream", }, workflowData: { type: "object", label: "Workflow Data", description: "The data defining the workflow", }, sourceId: { type: "string", label: "Source ID", description: "The ID of the source to create the trigger from", }, }, async run({ steps, $ }) { const apiKey = this.pipedream.$auth.api_key; const workflowData = this.workflowData; const sourceId = this.sourceId; const response = await axios($, { method: "POST", url: "https://api.pipedream.com/v1/workflows", headers: { Authorization: `Bearer ${apiKey}`, }, data: { ...workflowData, trigger: { source_id: sourceId, }, }, }); return response; }, }); ### Steps to Use This Code 1. Search for the Pipedream app in the Pipedream UI and connect your Pipedream account. 2. Create a new workflow and add a new code step. 3. Copy and paste the code above into the code step. 4. Provide the necessary props: - workflowData: An object defining the workflow configuration. - sourceId: The ID of the source you want to create the trigger from. ### Example workflowData Object The workflowData object should contain the necessary configuration for your workflow. Here is an example structure: ```on { “name”: “My New Workflow”, “steps”: [ { “type”: “http”, “name”: "HTTP
To help you create a workflow with a trigger, I need to understand more about the specific trigger you want to use. Triggers in Pipedream can be based on various events such as HTTP requests, schedules, or app-based events. Here are a few questions to clarify your requirements: 1. What type of trigger do you want to use for your workflow? (e.g., HTTP trigger, Scheduler trigger, app-based event) 2. If it’s an app-based event, which app are you integrating with? 3. Are there any specific configurations or parameters you need for the trigger? Once I have this information, I can provide a more detailed and accurate example for creating a workflow with the desired trigger.
To create a trigger with a custom source through its ID in Pipedream, follow these steps: 1. Retrieve the Source ID: - Visit Sign Up - Pipedream. - Select your source and copy its ID from the URL. The ID starts with dc_. - Alternatively, you can find the ID by running pd list sources using the Pipedream CLI. 2. Create a New Workflow: - Go to Pipedream Workflows and create a new workflow. - When adding a trigger, select the Existing sources tab in the upper right corner. - Choose your custom source from the list of existing sources. Here is a visual guide to selecting an existing source as the trigger for your workflow: !Selecting a pre-existing deployed source as the trigger for the workflow For more detailed instructions, you can refer to the Pipedream components documentation. If you have any further questions or need additional assistance, feel free to ask!
To create a workflow through the Pipedream REST API, you can follow these steps: 1. Create a Workflow: Use the REST API to create a new workflow. 2. Add Triggers and Actions: Configure the workflow by adding triggers and actions. Here is an example of how to create a workflow using the Pipedream REST API: ### Step 1: Create a Workflow You can create a new workflow by making a POST request to the /workflows endpoint. bash curl -X POST "https://api.pipedream.com/v1/workflows" \ -H "Authorization: Bearer <YOUR_API_KEY>" \ -H "Content-Type: application/json" \ -d '{ "name": "My New Workflow", "description": "This is a new workflow created via the REST API" }' ### Step 2: Add a Trigger Once the workflow is created, you can add a trigger to it. For example, to add an HTTP trigger: bash curl -X POST "https://api.pipedream.com/v1/sources" \ -H "Authorization: Bearer <YOUR_API_KEY>" \ -H "Content-Type: application/json" \ -d '{ "workflow_id": "<WORKFLOW_ID>", "type": "http", "name": "HTTP Trigger" }' ### Step 3: Add an Action Next, you can add actions to the workflow. For example, to add a code step action: bash curl -X POST "https://api.pipedream.com/v1/actions" \ -H "Authorization: Bearer <YOUR_API_KEY>" \ -H "Content-Type: application/json" \ -d '{ "workflow_id": "<WORKFLOW_ID>", "type": "code", "name": "Code Step", "code": "export default defineComponent({ async run({ steps, $ }) { console.log('Hello, world!'); } });" }' ### Full Example Here is a full example of creating a workflow with an HTTP trigger and a code step action: ```bash # Create a new workflow WORKFLOW_ID=$(curl -X POST “https://api.pipedream.com/v1/workflows” \ -H “Authorization: Bearer <YOUR_API_KEY>” \ -H “Content-Type: application/json” \ -d '{ “name”: “My New Workflow”, “description”:
To automate the process of adding a trigger to your workflow using the source ID, you can use Pipedream’s API to create and configure the workflow programmatically. Here’s a step-by-step guide: 1. Create and Deploy the Source: You mentioned you already have a workflow that creates and deploys a source and returns the ID. Ensure you have the source ID stored. 2. Use Pipedream API to Add the Trigger: You can use the Pipedream API to add the trigger to your workflow using the source ID. Below is an example of how to do this using Node.js and the axios library. ### Example Code import { axios } from "@pipedream/platform"; export default defineComponent({ props: { pipedreamApiKey: { type: "string", label: "Pipedream API Key", }, workflowId: { type: "string", label: "Workflow ID", }, sourceId: { type: "string", label: "Source ID", }, }, async run({ steps, $ }) { const { pipedreamApiKey, workflowId, sourceId } = this; const url = `https://api.pipedream.com/v1/workflows/${workflowId}/triggers`; const headers = { Authorization: `Bearer ${pipedreamApiKey}`, "Content-Type": "application/json", }; const data = { source_id: sourceId, }; const response = await axios($, { method: "POST", url, headers, data, }); return response; }, }); ### Steps to Follow 1. Set Up Your Component: Replace the placeholders for pipedreamApiKey, workflowId, and sourceId with your actual values. These can be passed as props to the component. 2. Deploy the Component: Deploy this component using the Pipedream CLI or the Pipedream UI. 3. Run the Component: When you run this component, it will use the Pipedream API to add the trigger to your specified workflow using the provided source ID. ### Additional Information - Pipedream API Documentation: For more details on the Pipedream API, you can refer to the [Pipedream API documentation](https://docs
AxiosError - Request failed with status code 404
{“error”:“route not found”} DETAILS
at null.settle (/tmp/__pdg__/dist/code/af0a9c2eb0aa08e64c9f7c17f4117a7ebc64441b232b84fc0d04019be2d6ee66/node_modules/.pnpm/axios@1.7.2/node_modules/axios/dist/node/axios.cjs:1983:12)
at Unzip.handleStreamEnd (/tmp/__pdg__/dist/code/af0a9c2eb0aa08e64c9f7c17f4117a7ebc64441b232b84fc0d04019be2d6ee66/node_modules/.pnpm/axios@1.7.2/node_modules/axios/dist/node/axios.cjs:3085:11)
at Unzip.emit (node:events:531:35)
at null.endReadableNT (node:internal/streams/readable:1696:12)
at process.processTicksAndRejections (node:internal/process/task_queues:82:21)
at process.processTicksAndRejections (node:internal/process/task_queues:95:5)
at null.callAxios (/tmp/__pdg__/dist/code/af0a9c2eb0aa08e64c9f7c17f4117a7ebc64441b232b84fc0d04019be2d6ee66/node_modules/.pnpm/@pipedream+platform@2.0.0/node_modules/@pipedream/platform/dist/axios.js:110:26)
at Object.run (file:///tmp/__pdg__/dist/code/af0a9c2eb0aa08e64c9f7c17f4117a7ebc64441b232b84fc0d04019be2d6ee66/component.mjs:18:22)
at null.executeComponent (/var/task/launch_worker.js:288:22)
at MessagePort.messageHandler (/var/task/launch_worker.js:788:28)
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debug
{5}
Test
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It looks like you’re encountering a 404 Not Found error when making an API request using axios. This typically means that the URL you’re trying to access does not exist. Here are a few steps to troubleshoot and resolve this issue: 1. Verify the URL: Ensure that the URL you are using in your axios request is correct. Double-check for any typos or missing parts in the URL. 2. Check the API Endpoint: Make sure the API endpoint you are trying to access is valid and exists. Refer to the API documentation to confirm the endpoint. 3. Authentication: If the API requires authentication, ensure that you are including the correct authentication headers. Here’s an example of a Pipedream component making a request to the GitHub API. This example includes proper authentication and a valid endpoint: ```
import { axios } from “@pipedream/platform”; export default defineComponent({ props: { github: { type: “app”, app: “github”, }, }, async run({ steps, $ }) { try { const response = await axios($, { url: https://api.github.com/user, headers: { Authorization: Bearer ${this.github.$auth.oauth_access_token}, “X-GitHub-Api-Version”: 2022-11-28, }, }); return response; } catch (error) { $.export(“error”, error); throw new Error(Request failed with status code ${error.response.status}); } }, });
i have a workflow with a trigger that triggers it every 24hrs, in a component i created a variable whose value is assigned during runtime like for example
latest_timestamp = timestamp()
now after 24hrs, will this variable still have the value ??
The variable latest_timestamp you created in a component will not retain its value after 24 hours. Each time the workflow is triggered, it starts with a fresh execution context, meaning any variables defined within the component will be re-initialized. If you need to persist the value of latest_timestamp across workflow executions, you should use a Pipedream Data Store. Here’s an example of how you can store and retrieve the latest_timestamp using a Data Store: import { axios } from "@pipedream/platform"; export default defineComponent({ props: { data: { type: "data_store" }, }, async run({ steps, $ }) { // Retrieve the latest timestamp from the data store let latest_timestamp = await this.data.get("latest_timestamp"); if (!latest_timestamp) { // If no timestamp is stored, initialize it with the current timestamp latest_timestamp = new Date().toISOString(); await this.data.set("latest_timestamp", latest_timestamp); } // Log the latest timestamp console.log(`Latest timestamp: ${latest_timestamp}`); // Update the timestamp with the current time latest_timestamp = new Date().toISOString(); await this.data.set("latest_timestamp", latest_timestamp); return { latest_timestamp }; }, }); In this example: 1. The data prop is defined as a Data Store. 2. The component retrieves the latest_timestamp from the Data Store. 3. If no timestamp is stored, it initializes it with the current timestamp. 4. The timestamp is then updated with the current time and stored back in the Data Store. This way, the latest_timestamp will persist across workflow executions and retain its value after 24 hours.
Your code has a few issues that need to be addressed. Here are the corrections and improvements: 1. Import Statements: Ensure that all necessary imports are included at the top. 2. Props Definition: The db prop should be defined correctly. 3. Timer Prop: Add a timer prop to run the component at 15-minute intervals. 4. Supabase Client Initialization: Correctly initialize the Supabase client. 5. GitHub API Request: Add the logic to fetch GitHub issues. 6. Return Statement: Ensure the return statement is correct. Here’s the corrected code: ``` import { axios } from “@pipedream/platform”; import { createClient } from “@supabase/supabase-js”; export default defineComponent({ name: “velora-github-issues-source-GET”, description: “This is a custom source for Velora AI, which fetches user credentials from an external source, and then uses the GET API to fetch GitHub issues for a user repo, with 15-minute timer intervals.”, props: { repo_full_name: { type: “string”, label: “Repository Full Name”, description: “Enter the name of the GitHub repository in the format ‘owner/repo’”, }, nango_connection_id: { type: “string”, label: “Nango Connection ID”, description: “Enter the Nango Connection ID”, }, nango_integration_id: { type: “string”, label: “Nango Integration ID”, description: “Enter the Nango Integration ID”, }, velora_workflow_id: { type: “string”, label: “Velora Workflow ID”, description: “Enter the Workflow ID”, }, velora_workspace_id: { type: “string”, label: “Velora Workspace ID”, description: “Enter the Workspace ID”, }, supabase_url: { type: “string”, label: “Supabase URL”, description: “Enter the Supabase URL”, }, db: { type: “data_store”, label: “Data Store”, }, timer: { type: “$.interface.timer”, default: { intervalSeconds: 15 * 60, }, }, }, methods: { _get
It looks like you want to continue the code for a Pipedream component. However, I need more details to provide an accurate continuation. Could you please specify: 1. The purpose of the component (e.g., what API or service it interacts with). 2. Any specific functionality or actions you want to implement. 3. Any existing code you have so far. This information will help me provide a more accurate and useful continuation for your code.