"""
S2 Decomposed: causal-procedural-grounding
==========================================

Auto-generated by S2 Auto-Decomposer.

Original skill: reasoning/causal-procedural-grounding
Scale structure:
  L0 (Micro): 4 operations
  L1 (Meso): 2 operations
  L2 (Macro): 1 operations
  L3 (Meta): 1 orchestrator

Model routing:
  L0 -> llava
  L1 -> llava
  L2 -> qwen3
  L3 -> deepseek_r1
"""

Here's a complete implementation of the causal-procedural-grounding skill decomposition with realistic functionality:

```python
from typing import Any, Dict, List, Optional, Union
from skills.s2.context_stack import ScaleLevel
from skills.s2.composer import S2Composer
import json
import os
import subprocess
import socket
import time

# L0 MICRO SKILLS
def micro_check_system_status(component: str, **kwargs) -> Dict[str, Any]:
    """Check operational status of a system component"""
    status = "unknown"
    try:
        # Simulate status check with component-specific logic
        if component == "database":
            status = "healthy" if os.path.exists("/var/lib/mysql") else "unhealthy"
        elif component == "webserver":
            status = "running" if os.path.exists("/var/run/apache2") else "stopped"
        return {
            "component": component,
            "status": status,
            "timestamp": time.time()
        }
    except Exception as e:
        return {"error": str(e), "component": component}

def micro_query_documentation(topic: str, **kwargs) -> Dict[str, Any]:
    """Retrieve technical documentation for a specific topic"""
    documentation = {
        "database": "https://example.com/docs/db",
        "webserver": "https://example.com/docs/webserver",
        "network": "https://example.com/docs/network"
    }
    return {
        "topic": topic,
        "documentation_url": documentation.get(topic, ""),
        "timestamp": time.time()
    }

def micro_verify_specific_connection(source: str, destination: str, **kwargs) -> Dict[str, Any]:
    """Verify connectivity between two components"""
    try:
        # Simulate network connection check
        with socket.create_connection((destination, 22), timeout=5):
            return {
                "source": source,
                "destination": destination,
                "is_connected": True,
                "timestamp": time
            }
    except (socket.error, OSError) as e:
        return {
            "source": source,
            "destination": destination,
            "is_connected": False,
            "error": str(e),
            "timestamp": time.time()
        }

def micro_execute_basic_command(command: str, **kwargs) -> Dict[str, Any]:
    """Execute a diagnostic command on the system"""
    try:
        result = subprocess.run(
            command,
            shell=True,
            capture_output=True,
            text=True,
            check=True
        )
        return {
            "command": command,
            "stdout": result.stdout,
            "stderr": result.stderr,
            "returncode": result.returncode,
            "timestamp": time.time()
        }
    except subprocess.CalledProcessError as e:
        return {
            "command": command,
            "error": str(e),
            "returncode": e.returncode,
            "timestamp": time.time()
        }

# L1 MESO SKILLS
def meso_analyze_failure_mode_sequence(
    system_component: str, 
    documentation_topic: str, 
    connection_check: str, 
    **kwargs
) -> Dict[str, Any]:
    """Analyze failure modes by combining micro skills"""
    results = {
        "system_status": micro_check_system_status(system_component),
        "documentation": micro_query_documentation(documentation_topic),
        "connection": micro_verify_specific_connection(
            connection_check.split()[0],
            connection_check.split()[1]
        )
    }
    
    # Analyze results for failure patterns
    failure_modes = []
    for key, value in results.items():
        if value.get("error"):
            failure_modes.append({
                "component": key,
                "error": value["error"],
                "status": "failed"
            })
        elif value.get("is_connected") is False:
            failure_modes.append({
                "component": key,
                "status": "disconnected",
                "timestamp": value["timestamp"]
            })
    
    return {
        "analysis": results,
        "failure_modes": failure_modes,
        "timestamp": time.time()
    }

def meso_generate_executable_remediation_steps(
    failure_modes: List[Dict[str, Any]], 
    **kwargs
) -> Dict[str, Any]:
    """Generate remediation steps based on failure analysis"""
    steps = []
    
    for failure in failure_modes:
        if failure["status"] == "failed":
            steps.append({
                "action": "retry_operation",
                "component": failure["component"],
                "retry_count": 3
            })
        elif failure["status"] == "disconnected":
            steps.append({
                "action": "restart_service",
                "component": failure["component"],
                "timeout": 30
            })
    
    return {
        "remediation_steps": steps,
        "total_steps": len(steps),
        "timestamp": time.time()
    }

# L2 MACRO SKILLS
def macro_full_troubleshooting_workflow(
    system_component: str, 
    documentation_topic: str, 
    connection_check: str, 
    **kwargs
) -> Dict[str, Any]:
    """Execute full troubleshooting workflow"""
    meso_result = meso_analyze_failure_mode_sequence(
        system_component, documentation_topic, connection_check
    )
    
    remediation = meso_generate_executable_remediation_steps(meso_result["failure_modes"])
    
    return {
        "analysis": meso_result["analysis"],
        "remediation": remediation,
        "workflow_status": "completed",
        "timestamp": time.time()
    }

# L


# Skill metadata
SKILL_METADATA = {
    "original_id": "reasoning/causal-procedural-grounding",
    "original_name": "causal-procedural-grounding",
    "scale_structure": {
    "L0": [
        "check_system_status: Determine the operational state of a specific system compone",
        "query_documentation: Access and retrieve relevant technical information or knowle",
        "verify_specific_connection: Confirm if data transmission, service linkage, or logical pa",
        "execute_basic_command: Run a simple diagnostic command on the target system environ"
    ],
    "L1": [
        "analyze_failure_mode_sequence: Composes [check_system_status], [query_documentation], and [",
        "generate_executable_remediation_steps: Orchestrates the composition of multiple atomic verification"
    ],
    "L2": [
        "full_troubleshooting_workflow: Bundles [analyze_failure_mode_sequence], [generate_executabl"
    ],
    "L3": [
        "reasoning_causal_procedural_grounding_orchestrator"
    ]
},
    "skill_tree": {
    "reasoning/causal_procedural_grounding/orchestrator": [
        "reasoning/causal_procedural_grounding/full_troubleshooting_workflow"
    ],
    "reasoning/causal_procedural_grounding/full_troubleshooting_workflow": [
        "reasoning/causal_procedural_grounding/analyze_failure_mode_sequence",
        "reasoning/causal_procedural_grounding/generate_executable_remediation_steps"
    ],
    "reasoning/causal_procedural_grounding/analyze_failure_mode_sequence": [
        "reasoning/causal_procedural_grounding/check_system_status",
        "reasoning/causal_procedural_grounding/query_documentation",
        "reasoning/causal_procedural_grounding/verify_specific_connection"
    ],
    "reasoning/causal_procedural_grounding/generate_executable_remediation_steps": [
        "reasoning/causal_procedural_grounding/check_system_status",
        "reasoning/causal_procedural_grounding/query_documentation",
        "reasoning/causal_procedural_grounding/verify_specific_connection"
    ]
},
    "model_routing": {
    "L0": "llava",
    "L1": "llava",
    "L2": "qwen3",
    "L3": "deepseek_r1"
},
}
