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is there anyway i could save some commonly used steps as functions so that i can use it later
In Pipedream, you can create reusable code snippets by creating custom actions. Custom actions are like functions that you can use across multiple workflows. To create a custom action, follow these steps: 1. Visit the Actions page in your Pipedream account: https://pipedream.com/actions 2. Click on the “New” button to create a new custom action. 3. Write the code for your custom action and save it. Once you’ve created a custom action, you can add it to any workflow by searching for it in the “Add a step” search bar within the workflow editor. Keep in mind that custom actions are specific to your account, so only you can use them in your workflows.
only for code steps?
Yes, the custom actions I mentioned earlier are specifically for creating reusable code snippets for code steps. You can create custom actions and use them across multiple workflows as code steps. However, this functionality is not available for pre-built component actions, as they are already designed to be reusable within the Pipedream platform.
How can i get all video including old ones from a youtube channel
To get all videos from a YouTube channel, you can use the YouTube Data API. In Pipedream, you can create a workflow with an HTTP trigger and a code step to fetch the videos. Here’s an example code step to fetch videos from a YouTube channel using the YouTube Data API: import { axios } from "@pipedream/platform"; export default defineComponent({ props: { apiKey: { type: "string", label: "YouTube API Key", secret: true, }, channelId: { type: "string", label: "YouTube Channel ID", }, }, async run({ steps, $ }) { const baseUrl = "https://www.googleapis.com/youtube/v3"; const maxResults = 50; // Maximum allowed by the API let nextPageToken = ""; let allVideos = []; while (nextPageToken !== undefined) { const response = await axios($, { method: "GET", url: `${baseUrl}/search`, params: { key: this.apiKey, channelId: this.channelId, part: "snippet", type: "video", maxResults, pageToken: nextPageToken, }, }); allVideos = allVideos.concat(response.items); nextPageToken = response.nextPageToken; } return allVideos; }, }); Replace apiKey and channelId with your YouTube API key and the channel ID you want to fetch videos from. This code will fetch all videos from the specified channel, including old ones, by iterating through the paginated results returned by the YouTube Data API. Please note that you’ll need to enable the YouTube Data API in your Google Cloud Console and obtain an API key to use this code.
Code Error
cannot require: @U05E7BFNLLX/platform
I apologize for the confusion in my previous response. It seems there was an error in the code I provided. Please use the following corrected code to fetch all videos from a YouTube channel: import axios from "axios"; export default defineComponent({ props: { apiKey: { type: "string", label: "YouTube API Key", secret: true, }, channelId: { type: "string", label: "YouTube Channel ID", }, }, async run({ steps, $ }) { const baseUrl = "https://www.googleapis.com/youtube/v3"; const maxResults = 50; // Maximum allowed by the API let nextPageToken = ""; let allVideos = []; while (nextPageToken !== undefined) { const response = await axios({ method: "GET", url: `${baseUrl}/search`, params: { key: this.apiKey, channelId: this.channelId, part: "snippet", type: "video", maxResults, pageToken: nextPageToken, }, }); allVideos = allVideos.concat(response.data.items); nextPageToken = response.data.nextPageToken; } return allVideos; }, }); This code uses the standard axios package instead of the @pipedream/platform package. Let me know if you have any questions or need further assistance.
can you do it in python
Yes, you can fetch all videos from a YouTube channel using Python. In a Pipedream Python code step, you can use the requests library to make API calls to the YouTube Data API. Here’s an example Python code step to fetch all videos from a YouTube channel: import requests api_key = "YOUR_YOUTUBE_API_KEY" channel_id = "YOUR_CHANNEL_ID" base_url = "https://www.googleapis.com/youtube/v3" max_results = 50 # Maximum allowed by the API all_videos = [] next_page_token = None while True: response = requests.get( f"{base_url}/search", params={ "key": api_key, "channelId": channel_id, "part": "snippet", "type": "video", "maxResults": max_results, "pageToken": next_page_token, }, ) data = response.json() all_videos.extend(data["items"]) next_page_token = data.get("nextPageToken") if next_page_token is None: break return all_videos Replace YOUR_YOUTUBE_API_KEY and YOUR_CHANNEL_ID with your YouTube API key and the channel ID you want to fetch videos from. This code will fetch all videos from the specified channel, including old ones, by iterating through the paginated results returned by the YouTube Data API. Please note that you’ll need to enable the YouTube Data API in your Google Cloud Console and obtain an API key to use this code.
SyntaxError: ‘return’ outside function
I apologize for the mistake in the Python code I provided earlier. Here’s the corrected version that should work within a Pipedream Python code step: import requests api_key = "YOUR_YOUTUBE_API_KEY" channel_id = "YOUR_CHANNEL_ID" base_url = "https://www.googleapis.com/youtube/v3" max_results = 50 # Maximum allowed by the API all_videos = [] next_page_token = None while True: response = requests.get( f"{base_url}/search", params={ "key": api_key, "channelId": channel_id, "part": "snippet", "type": "video", "maxResults": max_results, "pageToken": next_page_token, }, ) data = response.json() all_videos.extend(data["items"]) next_page_token = data.get("nextPageToken") if next_page_token is None: break # Use the following line to return the list of all_videos print(all_videos) Replace YOUR_YOUTUBE_API_KEY and YOUR_CHANNEL_ID with your YouTube API key and the channel ID you want to fetch videos from. This code will fetch all videos from the specified channel, including old ones, by iterating through the paginated results returned by the YouTube Data API. Please note that you’ll need to enable the YouTube Data API in your Google Cloud Console and obtain an API key to use this code.
so i have 100 data that i want to write to notion, how do i iterate them
To write 100 data items to Notion, you can use the Notion API and Pipedream’s Notion actions. First, you’ll need to choose the appropriate action based on the type of data you want to write (e.g., create a new page, append a block, etc.). For this example, let’s assume you want to create new pages for each data item. 1. Create a new Pipedream workflow with a trigger of your choice (e.g., HTTP, Scheduler, etc.). 2. Add a “Run Node.js code” step to process your 100 data items. You can either hardcode the data or fetch it from an API or another source. 3. Add a loop in the Node.js code step to iterate through your data items. 4. Inside the loop, use await $run.action() to call the Notion action for creating a new page. Pass the required parameters for the action. Here’s an example Node.js code step: const dataItems = [ // Your 100 data items here ]; for (const item of dataItems) { // Customize the properties based on your Notion database schema const properties = { title: { title: [ { text: { content: item.title, }, }, ], }, // Add more properties as needed }; await $run.action({ app: "notion", action: "create-page", properties, database_id: "YOUR_NOTION_DATABASE_ID", }); } Replace YOUR_NOTION_DATABASE_ID with the ID of your Notion database. Make sure to customize the properties object based on your Notion database schema. Let me know if you need help with a different Notion action or if you have any questions.
give me python version
To write data to Notion using Python, you can use the Notion API. Here’s an example of how to create new pages for each data item in a Notion database: import requests notion_api_key = "YOUR_NOTION_API_KEY" database_id = "YOUR_NOTION_DATABASE_ID" notion_base_url = "https://api.notion.com/v1" data_items = [ # Your 100 data items here ] headers = { "Notion-Version": "2022-05-13", "Authorization": f"Bearer {notion_api_key}", "Content-Type": "application/json", } for item in data_items: # Customize the properties based on your Notion database schema properties = { "title": { "title": [ { "text": { "content": item["title"], } } ] }, # Add more properties as needed } response = [requests.post](http://requests.post)( f"{notion_base_url}/pages", json={"properties": properties, "parent": {"database_id": database_id}}, headers=headers, ) if response.status_code != 200: print(f"Error creating page: {response.text}") Replace YOUR_NOTION_API_KEY and YOUR_NOTION_DATABASE_ID with your Notion API key and the ID of your Notion database. Make sure to customize the properties object based on your Notion database schema. Let me know if you need help with a different Notion action or if you have any questions.
how do i export variable to next step
in python
To export a variable to the next step in a Pipedream workflow, you can either return the value at the end of the current step or use $.export() to explicitly export a value with a custom name. Here’s an example: export default defineComponent({ async run({ steps, $ }) { const data = "This is the data to export"; // Option 1: Return the value (it will be available as steps.step_name.return_value in the next step) return data; // Option 2: Use $.export() to export the value with a custom name (it will be available as steps.step_name.custom_name in the next step) $.export("custom_name", data); }, }); Replace step_name with the name of the current step. In the next step, you can access the exported value using steps.step_name.return_value (for Option 1) or steps.step_name.custom_name (for Option 2).
To export a variable from a Python code step in Pipedream to the next step, you can use the pd.export() function. Here’s an example: from pipedream.script_helpers import export # Your data processing and iteration logic here data_items = [ # Your 100 data items here ] for item in data_items: # Process the item and store the result in a variable, e.g., result result = item # Replace this with your actual processing logic # Export the result variable to be used in the next step export("result", result) In this example, replace the data_items list with your 100 data items and implement the processing logic for each item. The pd.export() function is used to export the result variable, which can then be accessed in the next step of your Pipedream workflow. Let me know if you have any questions or need further assistance.