Automated PR Merged QA Notifications
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Streamline your QA process with this automated workflow that notifies your team upon successful Pull Request merges. Leverage AI and vector stores to enrich notifications and ensure seamless integration into your development pipeline.
About This Workflow
The "PR Merged QA Notify" workflow is an intelligent automation designed to enhance your team's awareness and responsiveness after a Pull Request is merged. It begins with a webhook trigger, symbolizing a PR merge event. The incoming data is then meticulously processed using AI-powered text splitting and embeddings, preparing it for storage and retrieval in a Pinecone vector database. This allows for context-aware processing and querying of related information. The workflow integrates with a chat model and a RAG (Retrieval Augmented Generation) agent to generate intelligent notifications. Finally, successful notifications are logged to a Google Sheet, while any errors trigger an immediate alert via Slack, ensuring critical information is always communicated effectively.
Key Features
- Real-time PR Merge Detection: Triggered automatically upon a PR merge event via webhook.
- AI-Powered Data Processing: Utilizes advanced language models for text splitting and embedding to understand and contextualize PR data.
- Intelligent Notification Generation: Employs a RAG agent for sophisticated, context-aware notification content.
- Persistent Logging & Alerting: Records successful notifications in Google Sheets and sends critical error alerts to Slack.
How To Use
- Configure Webhook Trigger: Set up your CI/CD pipeline to send a POST request to the "pr-merged-qa-notify" webhook endpoint upon a PR merge.
- Adjust Text Splitter: Fine-tune
chunkSizeandchunkOverlapparameters to optimize text processing based on your typical PR description lengths. - Set Up AI Credentials: Ensure your Cohere API and OpenAI API credentials are correctly configured in n8n.
- Configure Pinecone: Set up your Pinecone index named "pr_merged_qa_notify" and provide your API key.
- Link Chat Model & Memory: Connect the "Chat Model" and "Window Memory" nodes to the "RAG Agent" for contextual AI interactions.
- Set Up Google Sheets: Configure "Append Sheet" with your "SHEET_ID" and "Log" sheet name, ensuring the "Status" column is mapped to the output of the "RAG Agent".
- Configure Slack Alerts: Connect the "Slack Alert" node to your Slack workspace and specify the target channel (
#alerts).
Apps Used
Workflow JSON
{
"id": "1391a0da-99ad-4b22-94af-23f31b55eb6c",
"name": "Automated PR Merged QA Notifications",
"nodes": 11,
"category": "DevOps",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
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ID: 1391a0da-99ad...
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