Mini Project: API Data Fetch Tool

import json
from datetime import datetime

# Simulated API responses
MOCK_APIS = {
    "/users": [
        {"id": 1, "name": "Alice", "email": "alice@test.com", "active": True},
        {"id": 2, "name": "Bob", "email": "bob@test.com", "active": False},
        {"id": 3, "name": "Charlie", "email": "charlie@test.com", "active": True},
    ],
    "/posts": [
        {"id": 1, "title": "Python Tips", "userId": 1, "likes": 42},
        {"id": 2, "title": "API Guide", "userId": 1, "likes": 28},
        {"id": 3, "title": "Testing 101", "userId": 2, "likes": 35},
    ],
}

class APIFetchTool:
    def __init__(self, base_url):
        self.base_url = base_url
        self.cache = {}
        self.request_count = 0
    
    def fetch(self, endpoint):
        """Fetch data from API with caching."""
        if endpoint in self.cache:
            print(f"  📦 Cache hit: {endpoint}")
            return self.cache[endpoint]
        
        self.request_count += 1
        print(f"  🌐 Fetching: {self.base_url}{endpoint}")
        
        # Simulated API call
        if endpoint in MOCK_APIS:
            data = MOCK_APIS[endpoint]
            self.cache[endpoint] = data
            return data
        else:
            raise Exception(f"404: {endpoint} not found")
    
    def fetch_all(self, endpoints):
        """Fetch multiple endpoints."""
        results = {}
        for ep in endpoints:
            try:
                results[ep] = self.fetch(ep)
            except Exception as e:
                print(f"  ❌ Error: {e}")
                results[ep] = None
        return results
    
    def stats(self):
        print(f"\n📊 Requests made: {self.request_count}")
        print(f"📦 Cached endpoints: {len(self.cache)}")

# Demo
print("=== API Data Fetch Tool ===\n")
tool = APIFetchTool("https://api.example.com")

# Fetch users
users = tool.fetch("/users")
print(f"  Found {len(users)} users")

# Fetch again (cached!)
users = tool.fetch("/users")

# Fetch posts
posts = tool.fetch("/posts")
print(f"  Found {len(posts)} posts")

# Process data
print("\n--- Active Users ---")
active = [u for u in users if u["active"]]
for user in active:
    user_posts = [p for p in posts if p["userId"] == user["id"]]
    total_likes = sum(p["likes"] for p in user_posts)
    print(f"  {user['name']}: {len(user_posts)} posts, {total_likes} likes")

# Try non-existent endpoint
print("\n--- Error Handling ---")
try:
    tool.fetch("/comments")
except Exception as e:
    print(f"  Handled: {e}")

# Stats
tool.stats()

# Export as JSON report
report = {
    "generated": datetime.now().isoformat(),
    "users": len(users),
    "active_users": len(active),
    "total_posts": len(posts),
    "total_likes": sum(p["likes"] for p in posts),
}
print(f"\n=== Report ===")
print(json.dumps(report, indent=2))