# 📅 Day 1 — Setup and Data Ingestion

## 🎯 Goal
Establish the foundation for the project.  
The primary objective is to create an **n8n workflow** that successfully fetches raw **sales** and **product review data** from their respective sources.

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## 🧩 Tasks

### 1. Environment Setup
- Set up your **n8n instance**:
  - Options: n8n Cloud, Docker, or local installation.
  - Reference: [https://docs.n8n.io/hosting/](https://docs.n8n.io/hosting/)
- Create a **Python environment**.
  - Install necessary libraries:
    ```bash
    pip install pandas nltk
    ```

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### 2. Create a New n8n Workflow
- Start with a **Manual Trigger** node (`Start`).
- This will later be replaced with an automated schedule on **Day 5**.

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### 3. Fetch Sales Data
- Add an **HTTP Request** or **Database Node (PostgreSQL/MySQL)**.
- Connect to your e-commerce API endpoint (e.g., Shopify → `/orders.json`).
- Set up credentials (API Key, OAuth2, etc.).
- Test and verify that recent order data (e.g., order_id, product_id, price, quantity) is fetched successfully.

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### 4. Fetch Product Reviews
- Add another **HTTP Request** node.
- Configure it to pull recent **product reviews** (e.g., review_text, rating).
- Test independently to ensure successful data retrieval.

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### 5. Combine Data Streams
- Add a **Merge Node**.
- Connect both sales and review nodes.
- Set **Mode** → `Combine`.
- This ensures both data sets are merged and available for the next phase.

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## ✅ Deliverable
A manually triggered **n8n workflow** that:
- Pulls raw data from **two sources** (sales + reviews).
- Combines them using a **Merge node**.
- Outputs unified JSON data ready for analysis.