https://github.com/ayushverma135/zeotap-assignment
https://github.com/ayushverma135/zeotap-assignment
Last synced: 8 months ago
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- Host: GitHub
- URL: https://github.com/ayushverma135/zeotap-assignment
- Owner: Ayushverma135
- License: bsd-2-clause
- Created: 2024-10-20T19:24:22.000Z (12 months ago)
- Default Branch: main
- Last Pushed: 2024-10-26T18:45:09.000Z (12 months ago)
- Last Synced: 2025-01-01T01:45:44.738Z (9 months ago)
- Language: Python
- Size: 368 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Zeotap-Assignment
## Assignment 1: RuleCrafter
### Overview
**RuleCrafter** is a rule engine application designed to simplify the process of adding, evaluating, and managing rules using SQL-like syntax. The application provides a user-friendly interface for users to input rules, which are then converted into a structured JSON format for easy evaluation. The engine uses an Abstract Syntax Tree (AST) for parsing and evaluating the rules against user-provided data.
### Features
- **Add New Rules**: Users can input rules in a SQL format (e.g., `age = 30 AND department = 'Sales'`) and store them in an SQLite database.
- **Evaluate Rules**: The application evaluates the stored rules against user input data, providing feedback on whether the conditions are met.
- **Remove Rules**: Users can easily remove existing rules from the database.
- **User-Friendly Interface**: Built using Streamlit, the application offers a clean and intuitive interface for rule management.
### Technologies Used
- **Programming Language**: Python
- **Web Framework**: Streamlit
- **Database**: SQLite
- **Data Structures**: Abstract Syntax Tree (AST)
### Installation
1. **Clone the Repository**:
```bash
git clone https://github.com/Ayushverma135/Zeotap-Assignment.git
cd Zeotap-Assignment
```
2. **Install Dependencies**:
```bash
pip install streamlit
```
3. **Run the Application**:
```bash
streamlit run app_ast.py
```
### Usage
1. **Adding a New Rule**:
- Navigate to the "Add a New Rule" section.
- Enter your rule in SQL format.
- Click "Add Rule" to save the rule.
2. **Evaluating Rules**:
- Input the required data in the "Evaluate Rules" section.
- Click "Evaluate Rules" to check which rules are satisfied based on the provided data.
3. **Removing a Rule**:
- In the "Remove a Rule" section, select the rule you wish to delete and click "Remove Rule".
4. **Rule Format**:
- The rules should be entered in a SQL-like format. Here are some examples:
- `age = 30`
- `experience > 5`
- `department = 'Sales' AND salary >= 50000`
### Screenshot
## Assignment 2: WeatherPro
### Overview
WeatherPro is a web application designed for real-time weather monitoring, allowing users to check
current weather conditions and five-day forecasts for various cities. The application provides a
simple and intuitive user interface built using Streamlit and fetches weather data from the
OpenWeatherMap API. Users can add cities to their watchlist and receive timely updates on weather
conditions.
### Features
1. **Current Weather Updates:**
- Users can enter city names to view the current weather conditions, including temperature,
humidity, and weather description.
- Weather icons are displayed based on the current weather conditions, enhancing visual
representation.
2. **Five-Day Forecast:**
- The application provides a five-day weather forecast, including daily temperature highs and
lows, humidity levels, and conditions.
- Each forecast entry is clearly labeled with the corresponding weekday (e.g., Monday,
Tuesday).
3. **Add City Functionality:**
- Users can easily add cities to their watchlist by entering the city name and clicking the "Add
City" button.
- The added cities are stored in memory and can be displayed together with their weather
updates.
4. **Responsive Design:**
- The user interface is designed to be visually appealing and responsive, ensuring a seamless
experience across various devices.
5. **Scheduled Updates:**
- Weather data is fetched automatically at regular intervals (every 5 minutes) to keep users
informed.
### Technical Implementation
1. **API Integration:**
- The application integrates with the OpenWeatherMap API to fetch weather data. Users must
sign up for a free API key to access the service.
- The current weather and five-day forecast are retrieved using separate API calls.
2. **Data Processing:**
- The retrieved data is parsed to extract relevant information such as temperature, humidity,
weather conditions, and icon codes.
- The application organizes this data into a user-friendly format for display.
3. **User Interface with Streamlit:**
- The frontend is built using Streamlit, which facilitates rapid deployment of web applications
with Python. Key components of the UI include:
- An input field for city names.
- A button to add cities to the watchlist.
- Display sections for current weather and five-day forecasts.
- Weather icons corresponding to the weather conditions.
4. **Scheduler Setup:**
- APScheduler is utilized to periodically fetch weather updates every 5 minutes. This ensures
that users always have access to the most current weather data.
5. **Weather Widget Display:**
- The current weather and forecasts are displayed in a widget-style format, making it easy for
users to read and interpret the information.
### User Experience
- Adding a City: Users can easily input city names, and upon submission, the application
fetches and displays the corresponding weather data.
- Viewing Weather Updates: Current weather conditions and the five-day forecast are
displayed in a clean and organized manner, allowing for quick reference.
- Weather Icons: Icons representing the weather conditions enhance the visual appeal and
provide immediate context for users.
### Error Handling
The application includes error handling to manage issues that may arise during data fetching and
user input. Users receive feedback if:
- The city name input is empty or invalid.
- There are errors in fetching data from the OpenWeatherMap API (e.g., city not found).
- Network issues prevent data retrieval.
### Installation
1. **Clone the Repository**:
```bash
git clone https://github.com/Ayushverma135/Zeotap-Assignment.git
cd Zeotap-Assignment
```
2. **Install Dependencies**:
```bash
pip install streamlit
```
3. **Run the Application**:
```bash
streamlit run weather.py
```
### Conclusion
WeatherPro is an innovative and user-friendly application that simplifies real-time weather
monitoring. With its intuitive interface and reliable backend, it serves as a powerful tool for users
who want to stay informed about weather conditions in their chosen cities. Future improvements
could include:
- User accounts to save preferred cities across sessions.
- Enhanced visualizations, such as temperature trends over time.
- Support for additional weather metrics and historical data.
This project demonstrates the practical application of web technologies and APIs, providing valuable
insights into real-time data handling and user interface design.
### Screenshot
