Day 5 — Automation, Error Handling, and Final Polish_updated
Day 5 — Automation, Error Handling, and Final Polish_updated
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# 📅 Day 5 — Automation, Error Handling, and Final Polish
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## 🎯 Goal
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Convert the manual workflow into a **fully automated, production-ready system**.
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Transition the workflow to a **fully automated, production-ready system**.
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---
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## 🧩 Tasks
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### 1. Schedule for Automation
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- Replace the Manual Trigger with a **Cron Node**.
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- Example schedule: Run daily at 3 AM.
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0 3 * * *
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- Replace Manual Trigger with **Cron Node**:
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0 3 * * * # Runs every day at 3 AM
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yaml
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Copy code
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@@ -18,36 +17,40 @@ Copy code
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---
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### 2. Implement Error Handling
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- Create a separate **Error Workflow**.
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- Add a **Start on Error** trigger.
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- Connect it to a **Slack/Email Node**:
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- Create **Error Workflow**:
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- Start on Error Trigger
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- Slack/Email Node:
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```
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The Daily Sales Analysis workflow failed. Please check the logs.
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yaml
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Copy code
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```
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---
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### 3. Clean Up and Document
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- Rename all nodes descriptively:
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- Rename nodes descriptively:
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- `Fetch Shopify Orders`
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- `Analyze Sentiment in Python`
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- `Send Daily Slack Report`
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- Add **comments** inside your Python code.
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- Add **comments** in Python code.
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- Use **Sticky Notes** in n8n to explain logic visually.
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---
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### 4. Final Test
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- Deactivate → Review → Activate.
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- Monitor the first scheduled run end-to-end.
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- Validate data accuracy and notification triggers.
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- Deactivate → Check → Activate.
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- Monitor first automated run.
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- Verify data, summary, and alerts.
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---
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## ✅ Deliverable
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A **fully automated**, **scheduled**, and **monitored** workflow that:
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- Runs daily at a fixed time.
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- Generates and distributes reports.
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- Sends alerts for anomalies.
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- Notifies the team on failure.
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- Fully automated, scheduled workflow.
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- Generates daily reports and alerts.
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- Sends failure notifications if workflow breaks.
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- Ready for production deployment.
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---
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## 💡 Solution
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- Workflow runs independently every day.
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- Reports, alerts, and error notifications are fully automated.
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