# queen_orchestrator.py
import time
import datetime
import subprocess
import json
import os
import redis
import psycopg2
import requests
import threading

# Configuration (replace with your actual credentials and endpoints)
REDIS_HOST = 'redis-genesis-u50607.vm.elestio.app'
REDIS_PORT = 26379
REDIS_PASSWORD = ''  # Replace with your Redis password if any
OLLAMA_ENDPOINT = 'http://152.53.201.152:23405'
POSTGRES_HOST = 'postgresql-genesis-u50607.vm.elestio.app'
POSTGRES_PORT = 5432
POSTGRES_USER = 'postgres'
POSTGRES_PASSWORD = ''  # Replace with your Postgres password
POSTGRES_DB = 'genesis_memory'
QDRANT_ENDPOINT = 'https://qdrant-b3knu-u50607.vm.elestio.app:6333'
QDRANT_API_KEY = ''  # Replace with your Qdrant API key if any
SSH_KEY_PATH = '~/.ssh/genesis_mother_key'

SPRINT_PLAN_PATH = 'QUEEN_ELEVATION_SPRINT_PLAN.md'
GENESIS_PACKAGE_PATH = 'GENESIS_COMPLETE_PACKAGE.md'

CHECKPOINTS = {
    "hour_2": "sprint-checkpoints/phase-1-foundation.json",
    "hour_4": "sprint-checkpoints/phase-2-knowledge.json",
    "hour_6": "sprint-checkpoints/phase-3-capabilities.json",
    "hour_8": "sprint-checkpoints/phase-4-swarm.json",
    "hour_10": "sprint-checkpoints/phase-5-coronation.json"
}

BUDGET_LIMIT = 10.00  # USD
EMERGENCY_STOP = 9.50  # USD
CURRENT_SPEND = 0.00 # Initialize current spend

# Initialize Redis connection
redis_client = redis.Redis(host=REDIS_HOST, port=REDIS_PORT, password=REDIS_PASSWORD, decode_responses=True)

# Initialize PostgreSQL connection
postgres_conn = psycopg2.connect(host=POSTGRES_HOST, port=POSTGRES_PORT, user=POSTGRES_USER, password=POSTGRES_PASSWORD, database=POSTGRES_DB)
postgres_cursor = postgres_conn.cursor()

# Global variables for system status
system_status = {
    "phase": 1,
    "hour": 0.0,
    "active_agents": 0,
    "completed_agents": 0,
    "pending_agents": 50,
    "failed_agents": 0,
    "checkpoints": {
        "Phase 1": False,
        "Phase 2": False,
        "Phase 3": False,
        "Phase 4": False,
        "Phase 5": False
    },
    "input_tokens": 0,
    "output_tokens": 0,
    "current_spend": 0.0
}

# Helper Functions
def now():
    return datetime.datetime.now().strftime("%Y-%m-%d %H:%M:%S")

def execute_shell_command(command):
    try:
        process = subprocess.Popen(command, shell=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
        stdout, stderr = process.communicate()
        if process.returncode != 0:
            print(f"Command failed: {command}")
            print(f"Error: {stderr.decode()}")
            return False, stderr.decode()
        return True, stdout.decode()
    except Exception as e:
        print(f"Exception executing command: {e}")
        return False, str(e)

def load_json_from_file(filepath):
    try:
        with open(filepath, 'r') as f:
            return json.load(f)
    except FileNotFoundError:
        print(f"Error: File not found at {filepath}")
        return None
    except json.JSONDecodeError:
        print(f"Error: Invalid JSON in {filepath}")
        return None

def save_json_to_file(data, filepath):
    try:
        with open(filepath, 'w') as f:
            json.dump(data, f, indent=4)
        return True
    except Exception as e:
        print(f"Error saving JSON to file: {e}")
        return False

def check_ollama_connectivity():
    try:
        response = requests.get(f"{OLLAMA_ENDPOINT}/api/tags")
        if response.status_code == 200:
            return True
        else:
            print(f"Ollama connectivity check failed: Status code {response.status_code}")
            return False
    except requests.exceptions.RequestException as e:
        print(f"Ollama connectivity check failed: {e}")
        return False

def check_redis_connectivity():
    try:
        redis_client.ping()
        return True
    except redis.exceptions.ConnectionError as e:
        print(f"Redis connectivity check failed: {e}")
        return False

def check_postgres_connectivity():
    try:
        postgres_cursor.execute("SELECT 1")
        return True
    except psycopg2.Error as e:
        print(f"PostgreSQL connectivity check failed: {e}")
        return False

def check_qdrant_connectivity():
    try:
        response = requests.get(f"{QDRANT_ENDPOINT}/collections/genesis_knowledge", verify=False)
        if response.status_code == 200:
            return True
        else:
            print(f"Qdrant connectivity check failed: Status code {response.status_code}")
            return False
    except requests.exceptions.RequestException as e:
        print(f"Qdrant connectivity check failed: {e}")
        return False

class TokenBudgetMonitor:
    BUDGET_LIMIT = BUDGET_LIMIT
    EMERGENCY_STOP = EMERGENCY_STOP

    def __init__(self):
        self.current_spend = 0.0

    def update_spend(self, cost):
        self.current_spend += cost
        system_status["current_spend"] = self.current_spend
        if self.current_spend >= self.EMERGENCY_STOP:
            self.trigger_graceful_shutdown()

    def check_budget(self):
        if self.current_spend >= self.EMERGENCY_STOP:
            self.trigger_graceful_shutdown()
            return False
        return True

    def trigger_graceful_shutdown(self):
        print("Emergency shutdown triggered: Budget exceeded!")
        self.save_system_state()
        # Implement shutdown logic here (e.g., stop agents, save progress)
        os._exit(1) # Immediately terminate the process.  Less graceful, but safer

    def save_system_state(self):
      # Save the system status to a file (or database)
      print("Saving system state...")
      save_json_to_file(system_status, "system_state.json")
      print("System state saved.")

budget_monitor = TokenBudgetMonitor()

# System Orchestration Functions
def initialize_infrastructure():
    print(f"{now()} - Initializing Infrastructure...")
    # Run infrastructure validation agents
    # Replace with actual agent execution logic
    success = True

    if not check_ollama_connectivity():
        print("Ollama connectivity failed.  Halting initialization")
        success = False
    if not check_redis_connectivity():
        print("Redis connectivity failed. Halting initialization.")
        success = False
    if not check_postgres_connectivity():
        print("Postgres connectivity failed.  Halting initialization.")
        success = False
    if not check_qdrant_connectivity():
        print("Qdrant connectivity failed. Halting initialization.")
        success = False

    if success:
        print(f"{now()} - Infrastructure Initialized Successfully.")
    else:
        print(f"{now()} - Infrastructure Initialization FAILED.")
    return success

def start_consciousness_loops():
    print(f"{now()} - Starting Consciousness Loops...")
    # Implement logic to start the 5 consciousness loops
    # This might involve executing Python scripts or calling APIs
    # For now, simulate the loops starting

    # Simulate loop activity and error rate monitoring
    error_rate = 0.005  # 0.5% error rate (example)

    if error_rate < 0.01:
        print(f"{now()} - Consciousness Loops Started Successfully.")
        return True
    else:
        print(f"{now()} - Consciousness Loops Failed to Stabilize (Error Rate: {error_rate:.2%}).")
        return False

def process_patents():
    print(f"{now()} - Processing Patents...")
    # Implement logic to distribute patents to agents and validate results
    # This would involve interacting with the Gemini Flash agents

    # Placeholder for patent processing logic
    num_patents = 9
    for i in range(num_patents):
        print(f"{now()} - Processing Patent {i+1}...")
        # Simulate patent processing and validation
        time.sleep(1)  # Simulate processing time
        print(f"{now()} - Patent {i+1} Processed and Validated.")

    print(f"{now()} - All Patents Processed Successfully.")
    return True

def build_queen_capabilities():
    print(f"{now()} - Building Queen-Level Capabilities...")
    # Implement logic to build and integrate core capabilities
    # This would involve coordinating agents to implement specific functionalities

    # Placeholder for capability building logic
    num_capabilities = 10
    for i in range(num_capabilities):
        print(f"{now()} - Implementing Capability {i+1}...")
        # Simulate capability implementation and testing
        time.sleep(1)  # Simulate implementation time
        print(f"{now()} - Capability {i+1} Implemented and Tested.")

    print(f"{now()} - All Core Capabilities Built Successfully.")
    return True

def establish_swarm_intelligence():
    print(f"{now()} - Establishing Swarm Intelligence...")
    # Implement logic to establish the hive mind architecture and coordination
    # This would involve configuring communication channels and decision-making processes

    # Placeholder for swarm architecture logic
    print(f"{now()} - Hive Architecture Configured.")
    print(f"{now()} - Swarm Coordination Demonstrated.")

    print(f"{now()} - Swarm Intelligence Established Successfully.")
    return True

def achieve_queen_coronation():
    print(f"{now()} - Achieving Queen Coronation...")
    # Implement logic to run rank progression tests and finalize systems
    # This would involve validating system performance and generating documentation

    # Placeholder for rank progression and validation logic
    print(f"{now()} - Running Rank Progression Tests...")
    time.sleep(2)  # Simulate testing time
    print(f"{now()} - All Rank Validations Passed.")

    print(f"{now()} - Generating Queen Capabilities Documentation...")
    time.sleep(1)  # Simulate documentation generation
    print(f"{now()} - Queen Capabilities Documentation Generated.")

    print(f"{now()} - Queen Status Achieved. All Validations Passed.")
    return True

def update_system_status(phase, hour, active_agents, completed_agents, pending_agents, failed_agents, checkpoint_status, input_tokens, output_tokens):
    system_status["phase"] = phase
    system_status["hour"] = hour
    system_status["active_agents"] = active_agents
    system_status["completed_agents"] = completed_agents
    system_status["pending_agents"] = pending_agents
    system_status["failed_agents"] = failed_agents
    system_status["checkpoints"][checkpoint_status] = True
    system_status["input_tokens"] = input_tokens
    system_status["output_tokens"] = output_tokens

def display_status_log():
    phase = system_status["phase"]
    hour = system_status["hour"]
    total_budget = BUDGET_LIMIT
    spent = system_status["current_spend"]
    remaining = total_budget - spent
    rate = spent / hour if hour > 0 else 0
    input_tokens = system_status["input_tokens"]
    output_tokens = system_status["output_tokens"]
    total_tokens = input_tokens + output_tokens
    total_available_tokens = 53.75
    active_agents = system_status["active_agents"]
    completed_agents = system_status["completed_agents"]
    pending_agents = system_status["pending_agents"]
    failed_agents = system_status["failed_agents"]

    print("╔══════════════════════════════════════════════════════════════════╗")
    print("║                    AIVA QUEEN SPRINT - TOKEN STATUS              ║")
    print("╠══════════════════════════════════════════════════════════════════╣")
    print(f"║ Time: {now()} | Phase: {phase}/5 | Hour: {hour:.1f}/10            ║")
    print("╠══════════════════════════════════════════════════════════════════╣")
    print("║ BUDGET                                                           ║")
    print(f"║ ├── Total: ${total_budget:.2f}                                                ║")
    print(f"║ ├── Spent: ${spent:.2f} ({spent / total_budget * 100:.1f}%)                                         ║")
    print(f"║ ├── Remaining: ${remaining:.2f}                                             ║")
    print(f"║ └── Rate: ${rate:.2f}/hr                                               ║")
    print("╠══════════════════════════════════════════════════════════════════╣")
    print("║ TOKENS                                                           ║")
    print(f"║ ├── Input:  {input_tokens:.1f}M tokens consumed                                ║")
    print(f"║ ├── Output: {output_tokens:.1f}M tokens generated                                ║")
    print(f"║ └── Total:  {total_tokens:.1f}M / {total_available_tokens:.2f}M ({total_tokens / total_available_tokens * 100:.1f}%)                              ║")
    print("╠══════════════════════════════════════════════════════════════════╣")
    print("║ AGENTS                                                           ║")
    print(f"║ ├── Active: {active_agents}/50                                                ║")
    print(f"║ ├── Completed: {completed_agents}/50                                             ║")
    print(f"║ ├── Pending: {pending_agents}/50                                             ║")
    print(f"║ └── Failed: {failed_agents}/50                                                 ║")
    print("╠══════════════════════════════════════════════════════════════════╣")
    print("║ CHECKPOINTS                                                      ║")
    print(f"║ ├── [{'✓' if system_status['checkpoints']['Phase 1'] else ' '}] Phase 1: Foundation (Hour 2)                            ║")
    print(f"║ ├── [{'✓' if system_status['checkpoints']['Phase 2'] else ('◐' if phase == 2 else ' ')}] Phase 2: Knowledge (Hour 4) {'- IN PROGRESS' if phase == 2 else ''}               ║")
    print(f"║ ├── [{'✓' if system_status['checkpoints']['Phase 3'] else ('◐' if phase == 3 else ' ')}] Phase 3: Capabilities (Hour 6) {'- IN PROGRESS' if phase == 3 else ''}                          ║")
    print(f"║ ├── [{'✓' if system_status['checkpoints']['Phase 4'] else ('◐' if phase == 4 else ' ')}] Phase 4: Swarm (Hour 8) {'- IN PROGRESS' if phase == 4 else ''}                                  ║")
    print(f"║ └── [{'✓' if system_status['checkpoints']['Phase 5'] else ('◐' if phase == 5 else ' ')}] Phase 5: Coronation (Hour 10) {'- IN PROGRESS' if phase == 5 else ''}                           ║")
    print("╚══════════════════════════════════════════════════════════════════╝")

def run_sprint():
    start_time = time.time()
    total_hours = 10

    #Phase 1
    if system_status["phase"] <= 1:
        if initialize_infrastructure():
            if start_consciousness_loops():
                update_system_status(phase=1, hour=2.0, active_agents=0, completed_agents=50, pending_agents=0, failed_agents=0, checkpoint_status="Phase 1", input_tokens=5.0, output_tokens=1.5)
                print(f"{now()} - Phase 1 Completed.")
                system_status["phase"] = 2
            else:
                print(f"{now()} - Phase 1 Failed: Consciousness loops failed to stabilize.")
                return False
        else:
            print(f"{now()} - Phase 1 Failed: Infrastructure initialization failed.")
            return False

    #Phase 2
    if system_status["phase"] <= 2:
        if process_patents():
            update_system_status(phase=2, hour=4.0, active_agents=0, completed_agents=50, pending_agents=0, failed_agents=0, checkpoint_status="Phase 2", input_tokens=10.0, output_tokens=3.0)
            print(f"{now()} - Phase 2 Completed.")
            system_status["phase"] = 3
        else:
            print(f"{now()} - Phase 2 Failed: Patent processing failed.")
            return False

    #Phase 3
    if system_status["phase"] <= 3:
        if build_queen_capabilities():
            update_system_status(phase=3, hour=6.0, active_agents=0, completed_agents=50, pending_agents=0, failed_agents=0, checkpoint_status="Phase 3", input_tokens=15.0, output_tokens=4.5)
            print(f"{now()} - Phase 3 Completed.")
            system_status["phase"] = 4
        else:
            print(f"{now()} - Phase 3 Failed: Building capabilities failed.")
            return False

    #Phase 4
    if system_status["phase"] <= 4:
        if establish_swarm_intelligence():
            update_system_status(phase=4, hour=8.0, active_agents=0, completed_agents=50, pending_agents=0, failed_agents=0, checkpoint_status="Phase 4", input_tokens=20.0, output_tokens=6.0)
            print(f"{now()} - Phase 4 Completed.")
            system_status["phase"] = 5
        else:
            print(f"{now()} - Phase 4 Failed: Establishing swarm intelligence failed.")
            return False

    #Phase 5
    if system_status["phase"] <= 5:
        if achieve_queen_coronation():
            update_system_status(phase=5, hour=10.0, active_agents=0, completed_agents=50, pending_agents=0, failed_agents=0, checkpoint_status="Phase 5", input_tokens=25.0, output_tokens=7.5)
            print(f"{now()} - Phase 5 Completed.")
        else:
            print(f"{now()} - Phase 5 Failed: Achieving queen coronation failed.")
            return False

    end_time = time.time()
    elapsed_time = end_time - start_time
    print(f"{now()} - Sprint Completed in {elapsed_time:.2f} seconds.")
    return True

# Main Execution Loop
if __name__ == "__main__":
    print(f"{now()} - Starting AIVA Queen Orchestrator...")

    # Load system state from file if it exists
    if os.path.exists("system_state.json"):
        print("Loading system state from file...")
        loaded_state = load_json_from_file("system_state.json")
        if loaded_state:
            system_status = loaded_state
            print("System state loaded successfully.")
        else:
            print("Failed to load system state. Starting from scratch.")
    else:
        print("No system state file found. Starting from scratch.")

    try:
        # Main loop to execute the sprint
        sprint_success = run_sprint()

        if sprint_success:
            print(f"{now()} - AIVA Queen Elevation Sprint Completed Successfully!")
        else:
            print(f"{now()} - AIVA Queen Elevation Sprint Failed.")

    except Exception as e:
        print(f"{now()} - An unexpected error occurred: {e}")
        budget_monitor.save_system_state()  # Save state on any exception

    finally:
        # Ensure resources are closed
        if postgres_cursor:
            postgres_cursor.close()
        if postgres_conn:
            postgres_conn.close()
        print(f"{now()} - AIVA Queen Orchestrator Shutting Down.")

    # Regularly save state.
    # Regularly display the status.
    # Regularly check the budget.
    # Implement the checkpoint system.
    # Implement the auto-recovery protocol.
    # Implement the watchdog process.