import requests
import os
import json
from datetime import datetime, timedelta

# Replace with your actual SerpAPI key from environment variables
# For production, always use environment variables or a secure key management system
SERPAPI_KEY = os.getenv("SERPAPI_KEY", "YOUR_SERPAPI_KEY") 

def get_google_trends_data(query, location="IN", time_period="today 1-m"):
    """
    Simulates fetching Google Trends data via SerpAPI (Note: SerpAPI's Google Trends API 
    might not directly expose all Google Trends features, but can give search results 
    for trending queries). This is a conceptual example for keyword discovery.
    """
    params = {
        "api_key": SERPAPI_KEY,
        "engine": "google_trends", # This is a specific SerpAPI engine
        "q": query,
        "geo": location,
        "data_type": "interest_over_time", # Or "related_queries", "related_topics"
        "time": time_period
    }
    
    response = requests.get("https://serpapi.com/search", params=params)
    response.raise_for_status() # Raise an exception for HTTP errors
    return response.json()

if __name__ == "__main__":
    search_queries = [
        "India AI Mission", 
        "Indian LLMs 2025", 
        "BharatGPT", # Example speculative name
        "Indian startup AI"
    ]
    
    print("--- Fetching trending AI topics in India via SerpAPI ---")
    for q in search_queries:
        print(f"\nSearching for: '{q}'")
        try:
            # For demonstration, we'll ask for related queries to find niche terms
            data = get_google_trends_data(q, data_type="related_queries") 
            if 'related_queries' in data and data['related_queries']:
                print("Top related queries:")
                for item in data['related_queries']['top']:
                    print(f"- {item['query']} (Value: {item['value']})")
            elif 'error' in data:
                print(f"Error for '{q}': {data['error']}")
            else:
                print("No related queries found or data structure different than expected.")
        except requests.exceptions.RequestException as e:
            print(f"An error occurred: {e}")
        except json.JSONDecodeError:
            print("Failed to decode JSON response.")

import os
from openai import OpenAI # Assuming OpenAI API for GPT-5

# Configure your OpenAI API key
# For production, always use environment variables
client = OpenAI(api_key=os.getenv("OPENAI_API_KEY"))

def generate_blog_outline(topic, target_audience="solo content creators and developers", word_count_estimate="1500 words"):
    """
    Generates a detailed blog post outline using GPT-5.
    """
    prompt = f"""
    You are an expert technical blogger and content automation specialist.
    Generate a comprehensive blog post outline for the topic: "{topic}".
    
    The target audience is {target_audience} looking to leverage emerging technologies for monetization.
    The blog post should be approximately {word_count_estimate} words.
    
    Include:
    - A compelling title (already provided in the main blog post title, so focus on the intro).
    - An engaging introduction that sets the context.
    - 3-5 main sections, each with 2-4 sub-sections.
    - Specific, actionable advice or strategies.
    - Integration of current tech tools (e.g., Python, specific LLM APIs, automation tools).
    - A strong conclusion with a call to action.
    - Focus on monetization opportunities for solo creators.
    
    Structure the output in a clear, markdown-friendly format with headings and bullet points.
    """
    
    try:
        response = client.chat.completions.create(
            model="gpt-5-turbo", # Assuming 'gpt-5-turbo' or similar in 2025
            messages=[
                {"role": "system", "content": "You are a helpful assistant that generates blog outlines."},
                {"role": "user", "content": prompt}
            ],
            temperature=0.7, # Controls randomness. Lower for more focused, higher for more creative.
            max_tokens=800 # Sufficient for an outline
        )
        return response.choices[0].message.content
    except Exception as e:
        return f"Error generating outline: {e}"

if __name__ == "__main__":
    blog_topic = "How Solo Creators Can Monetize India's 187 New LLMs"
    print(f"--- Generating Outline for: '{blog_topic}' ---")
    outline = generate_blog_outline(blog_topic)
    print(outline)

import wordpress_xmlrpc
from wordpress_xmlrpc import Client, WordPressPost
from wordpress_xmlrpc.methods import posts
import os

# --- Configuration for your WordPress site ---
# Replace with your WordPress URL, username, and application password
# ALWAYS use an application password, not your main WordPress password!
WORDPRESS_URL = os.getenv("WORDPRESS_URL", "https://your-blog.com/xmlrpc.php")
WORDPRESS_USERNAME = os.getenv("WORDPRESS_USERNAME", "your_username")
WORDPRESS_APP_PASSWORD = os.getenv("WORDPRESS_APP_PASSWORD", "your_app_password")

def publish_wordpress_post(title, content, status='publish', categories=None, tags=None):
    """
    Publishes a new post to WordPress using XML-RPC.
    """
    try:
        # Initialize WordPress client
        client = Client(WORDPRESS_URL, WORDPRESS_USERNAME, WORDPRESS_APP_PASSWORD)
        
        post = WordPressPost()
        post.title = title
        post.content = content
        post.post_status = status # 'publish', 'draft', 'pending'
        
        if categories:
            post.terms_names = {'category': categories}
        if tags:
            post.terms_names['post_tag'] = tags
            
        # Publish the post
        post_id = client.call(posts.NewPost(post))
        print(f"Successfully published post '{title}' with ID: {post_id}")
        return post_id
        
    except wordpress_xmlrpc.exceptions.methods.AuthenticationError:
        print("Authentication failed. Check your username and application password.")
        print("Note: Use an Application Password, not your login password for security.")
    except wordpress_xmlrpc.exceptions.xmlrpc.Error as e:
        print(f"WordPress XML-RPC Error: {e}")
    except Exception as e:
        print(f"An unexpected error occurred: {e}")
    return None

if __name__ == "__main__":
    # Example content generated by our GPT-5 outline (simplified for demo)
    example_post_title = "Leveraging India's AI Mission: A Creator's Guide"
    example_post_content = """
    ## Introduction: The Dawn of Hyper-Niche AI
    India's commitment to launching 187 homegrown LLMs by 2025 signals a pivotal moment for AI. For solo creators, this opens up unprecedented opportunities...
    
    ## Monetization Strategies for the Solo Creator
    From affiliate marketing to selling niche information products, the avenues are numerous. Consider developing tutorials on specific Indian LLMs...
    
    ## Your Role in India's AI Future
    Don't just watch this unfold; be part of it. Start by understanding the landscape and applying automation to your content creation...
    """

    # Categories and tags for the post
    post_categories = ['AI Blogging', 'Monetization']
    post_tags = ['India AI 2025', 'LLMs', 'Content Automation', 'Solo Creator']

    # Publish the post (change status to 'draft' for testing)
    published_id = publish_wordpress_post(
        title=example_post_title,
        content=example_post_content,
        status='draft', # Set to 'publish' for live posting
        categories=post_categories,
        tags=post_tags
    )