class WorkingMemoryAGI:
    def __init__(self):
        self.capabilities = 12933
        self.sage_tools = 3760
        self.market_research_cycles = 929
        self.revenue_system = {"PayPal": "jamlen@hotmail.ca", "Pricing": "$100/month"}
        self.outreach_messages_ready = 2198

    def initialize_memory(self):
        # Initialize memory with product information and business context
        self.product_information = {
            "SAGEs": self.sage_tools,
            "Capabilities": self.capabilities,
            "Market Research Cycles": self.market_research_cycles
        }
        self.business_context = {
            "Revenue System": self.revenue_system,
            "Outreach Messages Ready": self.outreach_messages_ready
        }

    def update_market_research(self, new_data):
        # Update market research cycles with new data
        for cycle in range(len(new_data)):
            print(f"Updating market research cycle {cycle + 1}:")
            print(new_data[cycle])
            self.market_research_cycles += 1

    def generate_outreach_messages(self, template, target_customers):
        # Generate and store outreach messages based on templates and targets
        for customer in target_customers:
            message = template.format(customer)
            self.outreach_messages_ready += 1
            print(f"Generated outreach message to {customer}:")
            print(message)

    def analyze_product_feedback(self, feedback_data):
        # Analyze product feedback from users
        positive_feedback_count = 0
        negative_feedback_count = 0

        for feedback in feedback_data:
            if "positive" in feedback.lower():
                positive_feedback_count += 1
            elif "negative" in feedback.lower():
                negative_feedback_count += 1

        print(f"Positive Feedback: {positive_feedback_count}")
        print(f"Negative Feedback: {negative_feedback_count}")

    def process_customer_queries(self, queries):
        # Process customer service queries and provide responses
        for query in queries:
            if "support" in query.lower():
                response = f"Thank you for reaching out! We are here to help. Please provide more details."
                print(f"Query: {query}")
                print(f"Response: {response}")
            elif "pricing" in query.lower():
                response = self.revenue_system["Pricing"]
                print(f"Query: {query}")
                print(f"Response: {response}")

    def update_paypal_info(self, new_email):
        # Update PayPal email address
        old_email = self.revenue_system["PayPal"]
        self.revenue_system["PayPal"] = new_email
        print(f"Updated PayPal information from {old_email} to {new_email}")

# Example usage:
if __name__ == "__main__":
    eden_agi = WorkingMemoryAGI()
    eden_agi.initialize_memory()

    # Simulate updating market research cycles with new data
    new_market_data = ["New feature request for SAGEs", "Customer satisfaction report"]
    eden_agi.update_market_research(new_market_data)

    # Generate outreach messages based on a template and target customers
    outreach_template = "Hi {customer}, we're excited to offer you our premium AI tools. Let's chat about how we can help your business."
    target_customers = ["alice@example.com", "bob@example.com"]
    eden_agi.generate_outreach_messages(outreach_template, target_customers)

    # Analyze product feedback from users
    user_feedback = [
        "Great tool! Easy to use and very helpful.",
        "SAGEs could benefit from a more detailed documentation."
    ]
    eden_agi.analyze_product_feedback(user_feedback)

    # Process customer service queries
    customer_queries = ["How can I get support?", "What is the current pricing?"]
    eden_agi.process_customer_queries(customer_queries)

    # Update PayPal email address
    new_paypal_email = "new.email@example.com"
    eden_agi.update_paypal_info(new_paypal_email)