#!/usr/bin/env python3 """ Task Execution Script: NotebookLM Content Optimization Project: Module 1 Foundations - Priority 1 Content Generation Task ID: TASK_012 """
import sys import json import logging from pathlib import Path from datetime import datetime from typing import Dict, Any
============================================================================
CUSTOM EXCEPTIONS
============================================================================
class TaskExecutionError(Exception): """Base exception for task execution errors""" pass
class TaskFileError(TaskExecutionError): """Error accessing project file""" pass
class TaskStatusError(TaskExecutionError): """Error updating task status""" pass
============================================================================
LOGGING CONFIGURATION
============================================================================
logging.basicConfig( level=logging.INFO, format='%(levelname)s: %(message)s', stream=sys.stdout ) logger = logging.getLogger(name)
============================================================================
CORE FUNCTIONS
============================================================================
def execute_task() -> str: """Execute TASK_012 using ai-curriculum-specialist"""
task_prompt = """
Task: NotebookLM Content Optimization
Description: Optimize all content for Google NotebookLM processing, enhance metadata and cross-references
Deliverables Required:
- optimized_content_suite
-
notebooklm_ready_materials
Context:
- Project: Module 1 Foundations - Priority 1 Content Generation
- Phase: optimization
- Dependencies: TASK_011
Instructions:
- Execute the task according to the description
- Ensure all deliverables are created
- Follow educational content development best practices
- Include proper metadata for NotebookLM optimization
- Report progress and any blockers
Expected Output:
- Completed deliverables
- Progress report with completion status
- Recommendations for next steps
- Any identified issues or dependencies """
Task execution using Claude Code Task protocol
task_call = ( "Task(\n" " subagent_type="general-purpose",\n" " description="NotebookLM Content Optimization",\n" " prompt="Use ai-curriculum-specialist subagent to execute the task requirements above"\n" ")" )
logger.info("Executing Task Call:") logger.info(task_call)
return task_call
def update_task_status(task_id: str, status: str) -> None: """Update task status in project file""" project_file = Path("module1_foundations_priority_project.json")
try:
# Validate project file exists
if not project_file.exists():
raise TaskFileError(f"Project file not found: {project_file}")
# Read project data
try:
with open(project_file, "r", encoding='utf-8') as f:
project_data = json.load(f)
except json.JSONDecodeError as e:
raise TaskFileError(f"Invalid JSON in project file: {e}")
except Exception as e:
raise TaskFileError(f"Failed to read project file: {e}")
# Update task status
if task_id not in project_data.get("tasks", {}):
logger.warning(f"Task {task_id} not found in project file")
return
project_data["tasks"][task_id]["status"] = status
if status == "completed":
project_data["tasks"][task_id]["completion_date"] = datetime.now().isoformat()
# Write updated data
try:
with open(project_file, "w", encoding='utf-8') as f:
json.dump(project_data, f, indent=2)
logger.info(f"Task {task_id} status updated to: {status}")
except Exception as e:
raise TaskStatusError(f"Failed to write project file: {e}")
except (TaskFileError, TaskStatusError):
raise
except Exception as e:
raise TaskExecutionError(f"Unexpected error updating task status: {e}")
============================================================================
MAIN FUNCTION
============================================================================
def main() -> int: """Main execution function""" try: logger.info("Starting task execution...")
# Update task status
try:
update_task_status("TASK_012", "in_progress")
except TaskExecutionError as e:
logger.warning(f"Failed to update task status: {e}")
# Continue execution even if status update fails
# Execute task
result = execute_task()
logger.info("Task execution initiated.")
return 0
except Exception as e:
logger.error(f"Task execution failed: {e}")
return 1
if name == "main": sys.exit(main())