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The pipeline mimics live IoT sensor streaming and stores the data for further analysis.\n\n---\n\n## 🚀 Project Overview\n\n- 📁 Source: Kaggle Dataset – *Environmental Sensor Data (132k rows)*\n- 🔄 Simulates real-time sensor data with `pandas`\n- 🔌 Streams data into **Kafka topics** using a Python producer\n- 📥 Kafka consumer reads the stream and stores it in **PostgreSQL**\n- 🐳 Fully containerized with **Docker Compose**\n- 📊 Kafka-UI for topic monitoring\n\n---\n\n## 🛠️ Technologies Used\n\n| Component        | Tech Stack                     |\n|------------------|--------------------------------|\n| Data Streaming   | Apache Kafka                   |\n| Messaging System | Kafka-Python (`kafka-python`)  |\n| Data Ingestion   | Python + Pandas                |\n| Database         | PostgreSQL                     |\n| Orchestration    | Docker + Docker Compose        |\n| Monitoring       | Kafka-UI (ProvectusLabs)       |\n\n---\n\n## 🗂️ Project Structure\n```bash\nelective2/\n├── dataset/\n│ └── iot_telemetry_data.csv\n├── producer/\n│ ├── producer.py\n│ ├── requirements.txt\n│ └── Dockerfile\n├── consumer/\n│ ├── consumer.py\n│ ├── requirements.txt\n│ └── Dockerfile\n├── logs/\n│ ├── consumer.log\n│ ├── producer.log\n├── db/\n│ └── init.sql\n├── docker-compose.yml\n└── README.md\n```\n---\n\n## 🧠 Kafka Topic\n\n- **Topic Name**: `kafka-topic-postgress`\n- **Created Dynamically** if not already present\n- Partitions: `1`\n- Replication: `1`\n\n---\n\n## 🧪 How to Run This Project\n\n### 1. Clone the Repository\n\n```bash\ngit clone https://github.com/gulomovazukhrakhon/elective2.git\ncd elective2\n```\n### 2. Run Docker Compose\n```bash\ndocker-compose up --build\n``` \n\nThis will start:\n* Kafka + Zookeeper\n* PostgreSQL\n* Producer and Consumer\n* Kafka-UI on port `8080`\n\n### 3. Access Kafka UI\n📍 Open: http://localhost:8080\n\u003cbr\u003e\n🧠 Topic: kafka-topic-postgress\n\n---\n\n## 🗄️ PostgreSQL Table: telemtry_data\nCreated automatically via init.sql. Structure:\n\n| Column   | Type             |\n|----------|------------------|\n| ts       | DOUBLE PRECISION |\n| device   | TEXT             |\n| co       | DOUBLE PRECISION |\n| humidity | DOUBLE PRECISION |\n| light    | BOOLEAN          |\n| lpg      | DOUBLE PRECISION |\n| motion   | BOOLEAN          |\n| smoke    | DOUBLE PRECISION |\n| temp     | DOUBLE PRECISION |\n\n---\n\n## 🧾 Logging and Monitoring\n\nBoth Python services implement robust logging using the `logging` module:\n- Logs include timestamps, levels (INFO, WARNING, ERROR)\n- Logged to both Docker container stdout and `.log` files inside the `/logs` directory\n- Helpful for debugging retries, Kafka/DB issues, and success confirmations\n\nLogs are visible via:\n```bash\ndocker logs kafka-producer\ndocker logs kafka-consumer\n```\n---\n\n## 🔍 How It Works\n\n1. producer.py reads CSV row by row\n2. Sends each row as a JSON message to Kafka\n3. Kafka holds messages under kafka-topic-postgress\n4. consumer.py listens to the topic and inserts each message into PostgreSQL\n5. Kafka UI displays messages in real-time\n\n---\n\n## ✅ Project Highlights\n\n* ⏱️ Simulated real-time streaming (5s delay)\n* 💾 Durable storage with PostgreSQL\n* 🛡️ Error handling and retry logic for resilience\n* 🔌 Modular and scalable architecture\n* 🐳 Fully containerized and reproducible\n\n---\n\n## 📚 Project Links\n\n* Dataset: https://www.kaggle.com/datasets/garystafford/environmental-sensor-data-132k\n* Demo Video: https://drive.google.com/file/d/1HbTVXW3YuX7w2Z4ZMJYFX2QbSTGLFdvm/\n  \n---\n\n## 👩‍💻 Author\n\n**Zukhrahon Gulomova**\n\u003cbr\u003eApplied Artificial Intelligence, IU International University\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fgulomovazukhrakhon%2Fkafka-stream-processing","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fgulomovazukhrakhon%2Fkafka-stream-processing","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fgulomovazukhrakhon%2Fkafka-stream-processing/lists"}