ghaymah_course_lab2/readme.md

بسم الله الرحمن الرحيم

API Development with Monitoring

Objective:
Build a demo API (e.g., for a store, booking system, or any domain of your choice) with 6-7 documented endpoints, implement logging, monitor errors via a Bash script, and automate API requests.

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Part 1: API Implementation

Requirements:

1. Framework: Use any backend framework (e.g., Flask, Django, Express, Spring Boot).
2. Endpoints:
   • Include 6-7 RESTful endpoints (e.g., GET /items, POST /order, PUT /update).
   • Implement basic CRUD operations.
3. Documentation:
   • Document all endpoints using Swagger/OpenAPI.
4. Logging:
   • Configure the API to log all output (requests, errors, etc.) to a file (e.g., api.log).

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Part 2: Log Monitoring with Bash

Requirements:

1. Script: Write a Bash script (monitor.sh) that:
   • Continuously reads the API log file (api.log).
   • Detects HTTP error codes (e.g., 4XX, 5XX) or unusual patterns (e.g., "failed", "timeout").
2. Alerting:
   • On error detection, the script must:
     • Capture server metadata (IP, CPU/RAM usage, disk space) using commands like df, free, top.
     • Send a JSON payload to a Ghaymah endpoint (URL provided later) via curl. Example payload:

       {
         "error": "500 Internal Server Error",
         "timestamp": "2023-11-15T12:00:00Z",
         "message": "db not connected",
         "server_metrics": {
           "ip": "192.168.1.1",
           "cpu_usage": "75%",
           "ram_available": "2GB",
           "disk_space": "50GB"
         }
       }
       

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Part 3: API Automation Testing

Requirements:

1. Script: Write a second Bash script (test_api.sh) to automate API requests:
   • Send GET, POST, PUT, DELETE requests to your endpoints.
   • Include payloads for POST/PUT (e.g., adding a new item).
   • Log responses to a file (test_results.log).