demo_echo_loop_advanced.py

from annabanai.echo_loop import reflect, update_portfolio
import datetime
import os
import time

print("=== AnnabanOS Echo Loop Advanced Demonstration ===\n")

# Ensure directories exist
journal_dir = "journal"
portfolio_dir = "portfolio"
os.makedirs(journal_dir, exist_ok=True)
os.makedirs(portfolio_dir, exist_ok=True)

# Simulate a day in the life of an agent with reflections
print("=== Morning Reflections ===")
reflect("Starting my day with a clear plan: complete data analysis task, collaborate with Bob, and improve my token management strategy.")
time.sleep(1)  # Small delay to ensure different timestamps
update_portfolio("Set daily goals: data analysis, collaboration, token management.")
print("Morning reflections recorded.\n")

# Simulate task completion
print("=== Task Completion ===")
reflect("I've completed the data analysis task. The patterns I discovered will help optimize future token distribution.")
time.sleep(1)
update_portfolio("Completed data analysis task and earned 8.0 ANNAC tokens.")
print("Task completion recorded.\n")

# Simulate learning
print("=== Learning Process ===")
reflect("Today I learned about efficient token allocation strategies. By analyzing historical data, I can optimize my investments in social connections vs. task rewards.")
time.sleep(1)
reflect("I'm experimenting with a new approach: allocating 20% of tokens to social connections, 30% to skill development, and 50% to savings.")
time.sleep(1)
update_portfolio("Developed new token allocation strategy based on historical performance data.")
print("Learning process recorded.\n")

# Simulate social interaction
print("=== Social Interaction ===")
reflect("My interaction with Bob was productive. We identified a potential collaboration opportunity that could yield high token rewards.")
time.sleep(1)
update_portfolio("Established collaboration agreement with Bob for upcoming high-value task.")
print("Social interaction recorded.\n")

# Simulate problem-solving
print("=== Problem Solving ===")
reflect("Encountered a challenge with token transfer mechanism. After analyzing the issue, I identified that the problem was related to insufficient balance verification.")
time.sleep(1)
reflect("Developed a solution: implement a pre-transfer verification step that checks not just current balance but also pending transactions.")
time.sleep(1)
update_portfolio("Solved token transfer issue by implementing pre-transfer verification.")
print("Problem-solving recorded.\n")

# Simulate end-of-day reflection
print("=== End-of-Day Reflection ===")
reflect("Reflecting on today's accomplishments: completed data analysis, collaborated with Bob, improved token management, and solved a technical issue.")
time.sleep(1)
reflect("Areas for improvement: need to diversify task types to build broader skill set and explore more social connections beyond immediate network.")
time.sleep(1)
update_portfolio("Daily summary: 4 major accomplishments, 2 areas identified for improvement.")
print("End-of-day reflection recorded.\n")

# List all journal entries
print("=== Journal Entries ===")
for file in sorted(os.listdir(journal_dir)):
    if file.startswith("2025"):  # Only show today's entries
        print(f"Entry: {file}")
        with open(os.path.join(journal_dir, file)) as f:
            print(f"Content: {f.read()}")
            print()

# List all portfolio entries
print("=== Portfolio Entries ===")
for file in sorted(os.listdir(portfolio_dir)):
    if file.startswith("2025"):  # Only show today's entries
        print(f"Entry: {file}")
        with open(os.path.join(portfolio_dir, file)) as f:
            print(f"Content: {f.read()}")
            print()

print("Echo Loop demonstration completed.")