# python_script_1.py
import pandas as pd
from pytrends.request import TrendReq

# Initialize Google Trends API
pytrends = TrendReq(hl='en-US', tz=360)

# Define keywords to search for
kw_list = ["OpenAI DoD", "military AI 2025", "secure LLM government"]

# Get historical data
print("Fetching Google Trends data...")
pytrends.build_payload(kw_list, cat=0, timeframe='today 3-m', geo='', gprop='')
interest_over_time_df = pytrends.interest_over_time()

print("\n--- Interest Over Time ---")
print(interest_over_time_df.tail())

# Get related queries
print("\nFetching related queries...")
related_queries = pytrends.related_queries()

print("\n--- Related Queries (Top) ---")
for kw in kw_list:
    if kw in related_queries and related_queries[kw]['top'] is not None:
        print(f"\nKeyword: {kw}")
        print(related_queries[kw]['top'].head(5))

# You can save this to CSV or pass to an LLM for analysis
# interest_over_time_df.to_csv('google_trends_data.csv')

# python_script_2.py
import requests
import json

# Replace with your actual SerpAPI key
SERPAPI_API_KEY = "YOUR_SERPAPI_KEY" # Get yours from serpapi.com

# Define your search query
query = "OpenAI DoD contract military LLMs 2025"

# SerpAPI endpoint for Google Search
url = f"https://serpapi.com/search.json?engine=google&q={query}&api_key={SERPAPI_API_KEY}"

print(f"Searching SerpAPI for: '{query}'")

try:
    response = requests.get(url)
    response.raise_for_status() # Raise an exception for HTTP errors
    search_results = response.json()

    print("\n--- Top Search Results ---")
    if 'organic_results' in search_results:
        for i, result in enumerate(search_results['organic_results'][:5]): # Get top 5
            print(f"{i+1}. Title: {result.get('title', 'N/A')}")
            print(f"   Link: {result.get('link', 'N/A')}")
            print(f"   Snippet: {result.get('snippet', 'N/A')[:100]}...") # Truncate snippet
            print("-" * 20)
    else:
        print("No organic results found.")

except requests.exceptions.RequestException as e:
    print(f"Error fetching SerpAPI results: {e}")
except Exception as e:
    print(f"An unexpected error occurred: {e}")

# You can process these results further with pandas or directly pass to an LLM.

# python_script_3.py
from openai import OpenAI # Assuming OpenAI's SDK for 2025
import os

# Set your OpenAI API key
# Note: In 2025, it's best practice to use environment variables or a secure vault for keys.
# os.environ["OPENAI_API_KEY"] = "sk-YOUR_ACTUAL_OPENAI_KEY"
client = OpenAI(api_key=os.environ.get("OPENAI_API_KEY"))

# Example data derived from SerpAPI and Google Trends analysis
article_summary = "OpenAI's $200M DoD contract focuses on deploying secure, ethical LLMs for military logistics and intelligence. Key concerns include data privacy, adversarial attacks, and maintaining human oversight."
trending_keywords = ["secure LLM government", "AI ethics military", "military logistics AI"]

# Define the prompt for GPT-5
prompt = f"""
Based on the following summary of current events and trending keywords, write a detailed blog post section
titled "Monetizing the AI-Defense Boom: Niche Opportunities for Creators".
Focus on practical ways solo content creators can leverage this trend.
Keep the tone energetic and smart, but avoid hype.
Target audience: solo content creators, bloggers, developers.

Summary: {article_summary}
Trending Keywords: {', '.join(trending_keywords)}

Include ideas for:
-   Specialized content types (e.g., tutorials, deep dives)
-   Information products (e.g., e-books, templates)
-   Affiliate marketing opportunities (specific product types)
-   Consulting or service offerings

Ensure the output is in clean Markdown format with headings and bullet points.
"""

print("Generating content with GPT-5...")

try:
    response = client.chat.completions.create(
        model="gpt-5-turbo", # Assuming GPT-5-turbo is available in 2025
        messages=[
            {"role": "system", "content": "You are a content automation expert and technical blogger."},
            {"role": "user", "content": prompt}
        ],
        max_tokens=800,
        temperature=0.7
    )
    generated_content = response.choices[0].message.content
    print("\n--- Generated Content Section ---")
    print(generated_content)

except Exception as e:
    print(f"Error generating content: {e}")

# python_script_4.py
from wordpress_xmlrpc import Client, WordPressPost
from wordpress_xmlrpc.methods.posts import NewPost
from wordpress_xmlrpc.methods.users import GetUserInfo
import os

# --- WordPress Configuration ---
# Note: Use environment variables for sensitive info in production.
WP_URL = os.environ.get("WP_URL", "https://yourblog.com/xmlrpc.php") # Your XML-RPC endpoint
WP_USERNAME = os.environ.get("WP_USERNAME", "your_wordpress_username")
WP_PASSWORD = os.environ.get("WP_PASSWORD", "your_wordpress_password")

# --- Content from previous steps ---
# Let's assume generated_content from script_3.py is available here
# For demonstration, we'll use a placeholder. In a real workflow, this would be passed.
post_title = "Monetizing the AI-Defense Boom: Niche Opportunities for Creators"
post_content = """
### Monetizing the AI-Defense Boom: Niche Opportunities for Creators

The news of OpenAI's massive DoD contract isn't just about military tech; it's a clear signal for content creators: a new, highly lucrative niche is opening up. As secure LLMs become foundational to government operations, the demand for clear, practical, and authoritative information on this intersection of AI, defense, and security will skyrocket. Here’s how you, as a solo creator, can tap into this.

#### Specialized Content Types

Go beyond surface-level news. Think:

*   **Deep Dives into Secure AI**: Explore topics like homomorphic encryption, federated learning, and confidential computing as they apply to government LLM deployments. Break down complex concepts into digestible posts.
*   **Ethical AI Frameworks**: Analyze the ethical guidelines and responsible AI principles being developed for military applications. How do these translate to commercial AI?
*   **LLM Operational Security**: Create tutorials on best practices for securing LLMs from adversarial attacks, prompt injection, and data exfiltration in high-stakes environments (even if simulated for public consumption).
*   **Logistics Automation Case Studies**: Investigate how LLMs streamline supply chains, predictive maintenance, and resource allocation within defense contexts.

#### High-Value Information Products

Package your expertise into easily consumable digital products:

*   **E-books/Guides**: "The Solo Creator's Guide to AI-Defense Contracting Trends," "Mastering Secure LLM Prompt Engineering for Sensitive Data."
*   **Templates & Checklists**: Offer templates for ethical AI impact assessments, or checklists for securing AI pipelines against common vulnerabilities.
*   **Online Courses**: Develop micro-courses on specific aspects, like "Understanding AI's Role in National Security" or "Building Secure AI Applications."

#### Strategic Affiliate Marketing

Align with products and services that serve this high-value audience:

*   **Cybersecurity Tools**: Promote enterprise-grade VPNs, secure cloud storage, and AI-powered threat detection platforms.
*   **AI Development Platforms**: Affiliate with secure AI model marketplaces or specialized AI development environments designed for regulated industries.
*   **Professional Training & Certifications**: Link to courses on data privacy, ethical AI, or specific defense industry compliance.

#### Consulting & Service Offerings

If you build enough expertise and a reputation, consider:

*   **Specialized Content Creation**: Offer your services to tech companies or defense contractors needing expert content for their blogs, whitepapers, or marketing materials.
*   **AI Strategy Consulting (Niche)**: Provide insights on LLM adoption, security protocols, or ethical considerations for smaller firms looking to engage with government contracts.

By focusing on these emerging, high-value areas, you can transition from general AI content to a recognized expert in a niche that's about to define the next decade of technology.
"""
post_tags = ["AI", "Defense", "Monetization", "LLM", "2025", "Automation"]
post_categories = ["Monetization", "AI Blogging"]


# --- Create and publish post ---
print("Attempting to connect to WordPress...")
try:
    client = Client(WP_URL, WP_USERNAME, WP_PASSWORD)
    user_info = client.call(GetUserInfo())
    print(f"Successfully connected to WordPress as {user_info.username}.")

    post = WordPressPost()
    post.title = post_title
    post.content = post_content
    post.terms_names = {
        'post_tag': post_tags,
        'category': post_categories
    }
    post.post_status = 'publish' # Set to 'draft' for review before publishing

    print(f"Creating new post: '{post.title}'...")
    post_id = client.call(NewPost(post))
    print(f"Post created successfully! Post ID: {post_id}")
    print(f"You can view it at: {WP_URL.replace('/xmlrpc.php', '')}/?p={post_id}")

except Exception as e:
    print(f"Error publishing post to WordPress: {e}")
    print("Please ensure XML-RPC is enabled on your WordPress site and credentials are correct.")