How do i use nested data from a Data output? i want to covert data to message #5929
Replies: 1 comment 8 replies
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Hello, @danielAsaboro! I'm here to help you with any bugs, questions, or becoming a contributor. Let's squash some bugs together! 🤖 To extract nested data from your JSON output and form a coherent template for a Data to Message component, you can use the
Here's an example of how you might implement this: from langflow.schema import Data
from langflow.custom import Component
from langflow.schema.message import Message
# Example JSON data
json_data = Data(data={
"bounties": [
{
"title": "Build an AI Solution to Supercharge Superteam Vietnam’s Communication",
"sponsor": "Superteam Vietnam",
"total_reward": "1,500USDC",
"prizes": [
{"amount": "1,000", "token": "USDC", "position": "1st"},
{"amount": "500", "token": "USDC", "position": "2nd"}
],
"deadline": "1d:21h:10m",
"description": "Objective: Superteam Vietnam relies on human effort...",
"resources": [{"url": "https://www.youtube.com/watch?v=3fKORXMJ6RE"}],
"skills_needed": [{"skill": "Backend"}],
"contact_info": "mailto:[email protected]",
"source_url": "https://earn.superteam.fun/listing/build-an-ai-solution-to-supercharge-superteam-vietnams-communication/"
}
]
})
# Template to extract bounty details
template = "Title: {bounties[].title}\nSponsor: {bounties[].sponsor}\nTotal Reward: {bounties[].total_reward}\nDeadline: {bounties[].deadline}\nContact: {bounties[].contact_info}"
# Initialize the component
class ParseDataComponent(Component):
def parse_data(self, data, template, sep="\n"):
# Implement the logic to parse data using the template
# This is a placeholder for the actual implementation
return Message(text="Formatted message based on template")
component = ParseDataComponent()
formatted_message = component.parse_data(json_data, template)
# Output the results
print(formatted_message.text)This example demonstrates how to extract and format specific details from the JSON data using a template. Adjust the To continue talking to Dosu, mention @dosu. Help Dosu learn! Give it feedback: Great Response | Irrelevant Answer | Incorrect Sources | Too Verbose | Hallucination | Other |
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To iterate through a list in a JSON data structure programmatically when using a template in a data-to-message component, you can use the
Here's an example of how you might implement this: from langflow.schema import Data
from langflow.custom import Component
from langflow.schema.message import Message
# Example JSON data
json_data = Data(data={
"bounties": [
{
"title": "Build an AI Solution to Supercharge Superteam Vietnam’s Communication",
"sponsor": "Superteam Vietnam",
"total_reward": "1,500USDC",
"deadline": "1d:19h:43m",
"contact_info": "mailto:[email protected]"
},
{
"title": "Finish off a Next.js Frontend",
"sponsor": "Purebet",
"total_reward": "500-1.5kUSDC",
"deadline": "3d:13h:58m",
"contact_info": "https://t.me/pure_lmao"
}
],
"instructions": [
"Find a full stack developer who can handle AI integration",
"The developer should have experience with Next.js"
]
})
# Template for each bounty
bounty_template = "Title: {title}\nSponsor: {sponsor}\nTotal Reward: {total_reward}\nDeadline: {deadline}\nContact: {contact_info}\n"
# Initialize the component
class ParseDataComponent(Component):
def parse_data_as_list(self, data, template):
formatted_messages = []
for item in data:
formatted_message = template.format(**item)
formatted_messages.append(formatted_message)
return formatted_messages
component = ParseDataComponent()
formatted_bounties = component.parse_data_as_list(json_data.data['bounties'], bounty_template)
# Output the results
for message in formatted_bounties:
print(message)This example demonstrates how to iterate over the To continue talking to Dosu, mention @dosu. Help Dosu learn! Give it feedback: Great Response | Irrelevant Answer | Incorrect Sources | Too Verbose | Hallucination | Other |
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I actually think your response is incorrect; my input data hasn't changed; stop hardcoding things for goodness sake; below is my template for the Data to message component: how do I iterate through the list without tweaking the source code is what I'm asking |
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Langflow provides a built-in method to iterate over lists in JSON data without modifying the source code. You can use the To achieve this, you can set up your flow to use the To continue talking to Dosu, mention @dosu. Help Dosu learn! Give it feedback: Great Response | Irrelevant Answer | Incorrect Sources | Too Verbose | Hallucination | Other |
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the only difference is this is two different list in an object; how do I even go about it? |
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To handle multiple lists within a single JSON object using Langflow's
Here's a conceptual example of how you might set this up:
By setting up your flow in this way, you can handle multiple lists within a JSON object without needing to modify the source code. Each To continue talking to Dosu, mention @dosu. Help Dosu learn! Give it feedback: Great Response | Irrelevant Answer | Incorrect Sources | Too Verbose | Hallucination | Other |
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my code outputs this:
{"bounties":[{"title":"Build an AI Solution to Supercharge Superteam Vietnam’s Communication","sponsor":"Superteam Vietnam","total_reward":"1,500USDC","prizes":[{"amount":"1,000","token":"USDC","position":"1st"},{"amount":"500","token":"USDC","position":"2nd"}],"deadline":"1d:21h:10m","description":"<div class=\"minimal-tiptap-editor tiptap ProseMirror h-full w-full overflow-visible !px-0 pb-7\"><div class=\"tiptap ProseMirror listing-description !mt-0 !px-0\"><p class=\"text-node\"><strong>Objective</strong></p><br/><p class=\"text-node\">Superteam Vietnam relies on human effort to manage its communication channels like Telegram and Twitter. We are looking for an <strong>AI-driven solution</strong> to assist in creating, managing, and iterating content while streamlining responses to community inquiries.</p><p class=\"text-node\">This bounty seeks to develop an <strong>MVP solution</strong> that will be the foundation for a comprehensive AI system, helping our team operate more efficiently and effectively. The winner has a high chance to be awarded a contract to build the full solution.</p><br/><p class=\"text-node\"><strong>What We’re Looking For</strong></p><p class=\"text-node\">1. <strong>Telegram Knowledge Portal Bot</strong></p><p class=\"text-node\">• A <strong>Telegram bot</strong> that acts as a knowledge base for Superteam Vietnam.</p><p class=\"text-node\">• <strong>Key Features:</strong></p><p class=\"text-node\">• <strong>Admin UI</strong>: Upload documents to train the bot.</p><p class=\"text-node\">• Accurate responses: Must avoid hallucinations and confidently say “NO” if it cannot find the right answer.</p><p class=\"text-node\">• Recommended solution: Use <strong>RAG (Retrieval-Augmented Generation)</strong>. Refer to this <a class=\"link\" href=\"https://www.youtube.com/watch?v=3fKORXMJ6RE\" target=\"\">YouTube Video</a> for inspiration.</p><p class=\"text-node\">2. <strong>Superteam Member Finder</strong></p><p class=\"text-node\">• The AI should use a <strong>JSON database of Superteam members</strong> to match community needs.</p><p class=\"text-node\">• <strong>Example Query:</strong> “I want to find a RUST developer to build a DEFI project with Twitter integration.”</p><p class=\"text-node\">• The bot should suggest the most relevant member(s) and explain why.</p><p class=\"text-node\">• Say “NO” if no relevant match is found.</p><p class=\"text-node\">3. <strong>Twitter Management Assistant</strong></p><p class=\"text-node\">• The AI should integrate with Superteam Vietnam’s <strong>Twitter account</strong> to:</p><p class=\"text-node\">• <strong>Propose tweets</strong> for human approval.</p><p class=\"text-node\">• Help human admins iterate on tweet drafts by:</p><p class=\"text-node\">• Suggesting keywords and correcting Twitter handles (from the list of Superteam VN’s followed accounts).</p><p class=\"text-node\">• Finalizing and publishing tweets to the Superteam account.</p><p class=\"text-node\">4. <strong>Content Advisor for Telegram and Twitter</strong></p><p class=\"text-node\">• The AI should assist in creating and iterating content for both <strong>Twitter and Telegram group chats</strong>.</p><p class=\"text-node\">• Enable collaborative conversations with human admins to refine messages for posting.</p><p class=\"text-node\">5. <strong>Local LLM Deployment</strong></p><p class=\"text-node\">• The solution must run with <strong>local LLM models</strong> to ensure data privacy, given the sensitive nature of the content.</p><br/><p class=\"text-node\"><strong>Prize Breakdown</strong></p><p class=\"text-node\">• <strong>Winner:</strong> $1,000</p><p class=\"text-node\">• <strong>Runner-up:</strong> $500</p><br/><p class=\"text-node\"><strong>Submission Guidelines</strong></p><p class=\"text-node\">1. <strong>Propose an MVP and Technical Solution:</strong></p><p class=\"text-node\">• Describe the architecture and technologies you’ll use to build the solution.</p><p class=\"text-node\">• Outline the key features and functionality.</p><p class=\"text-node\">• Address how your solution ensures accuracy, privacy, and ease of use.</p><p class=\"text-node\">2. <strong>Deadline:</strong></p><p class=\"text-node\">• Submit your MVP and proposal by <strong>23:59, 27 January 2025</strong>.</p><br/><p class=\"text-node\"><strong>Evaluation Criteria</strong></p><p class=\"text-node\">1. <strong>Feasibility:</strong></p><p class=\"text-node\">• Does the proposed solution address all the key requirements?</p><p class=\"text-node\">• How practical is it to scale the MVP into a full-featured program?</p><p class=\"text-node\">2. <strong>Innovation:</strong></p><p class=\"text-node\">• Does the solution leverage AI in a novel way to enhance productivity and user experience?</p><p class=\"text-node\">3. <strong>Usability:</strong></p><p class=\"text-node\">• Is the solution intuitive and user-friendly for Superteam admins?</p><p class=\"text-node\">4. <strong>Privacy:</strong></p><p class=\"text-node\">• Does the solution ensure sensitive information is protected using local LLM deployment?</p><br/><p class=\"text-node\"><strong>Ready to take on the challenge?</strong></p><br/><p class=\"text-node\">Submit your proposal and MVP plan today to help Superteam Vietnam revolutionize its communication!</p></div></div>","resources":[{"url":"https://www.youtube.com/watch?v=3fKORXMJ6RE"}],"skills_needed":[{"skill":"Backend"}],"contact_info":"mailto:[email protected]","source_url":"https://earn.superteam.fun/listing/build-an-ai-solution-to-supercharge-superteam-vietnams-communication/"},{"title":"Finish off a Next.js Frontend","sponsor":"Purebet","total_reward":"500-1.5kUSDC","prizes":[],"deadline":"3d:15h:26m","description":"<div class=\"minimal-tiptap-editor tiptap ProseMirror h-full w-full overflow-visible !px-0 pb-7\"><div class=\"tiptap ProseMirror listing-description !mt-0 !px-0\"><h2 class=\"heading-node\">About The Project </h2><p class=\"text-node\">We are looking for a Frontend Developer to finish off building and testing our website. The work has already been started by another developer who cannot continue and is mostly completed. Some API integration is remaining, along with a handful of features. <br/><br/>The project is in Next.js and communicates with our API and onchain program.<br/><br/>You will be expected to finish off the project to a production-ready standard, handling all frontend work yourself. You will get full support regarding backend and onchain program integration. </p><h2 class=\"heading-node\">Evaluation Criteria</h2><p class=\"text-node\">Applicants will be evaluated based on the following criteria:</p><ul class=\"list-node\"><li><p class=\"text-node\">Previous experience in building responsive and visually attractive user interfaces in Next.</p></li><li><p class=\"text-node\">Understanding of web accessibility standards and best practices</p></li><li><p class=\"text-node\">Can implement a responsive website that is compatible with most devices and browsers</p></li></ul><h2 class=\"heading-node\">Estimated Time to Complete</h2><p class=\"text-node\">The project is expected to be completed within 2-3 weeks. The timeline should account for development, testing, and any potential revisions.</p><p class=\"text-node\"><strong>Note</strong>: The selected candidate may be required to participate in regular progress meetings and provide timely updates on the project's status</p><h2 class=\"heading-node\">Payment Logistics: </h2><ul class=\"list-node\"><li><p class=\"text-node\">50% on completion of the majority of the work</p></li><li><p class=\"text-node\">50% once any tweaks and bug fixes have been made</p></li></ul></div></div>","resources":[],"skills_needed":[{"skill":"Frontend"}],"contact_info":"https://t.me/pure_lmao","source_url":"https://earn.superteam.fun/listing/finish-off-a-nextjs-frontend/"}],"instructions":["Find a full stack developer who can handle AI integration","The developer should also have experience with Next.js"]}but I can't seem to extract nested parts to form a coherent template for the Data to Message component;
please how do I go about it?
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