"""{{ wizard_name | title | replace('_', ' ') }} Coach Wizard.

Auto-generated by Empathy Framework Scaffolding
Methodology: {{ methodology }}
Domain: {{ domain }}
Patterns: {{ pattern_ids | join(', ') }}
Generated: {{ timestamp }}
"""

import logging
from typing import Any

from fastapi import APIRouter, HTTPException
from pydantic import BaseModel, Field

from empathy_llm_toolkit.memory_manager import MemoryManager
from patterns import get_pattern_registry

logger = logging.getLogger(__name__)

router = APIRouter(prefix="/{{ wizard_name }}", tags=["{{ wizard_name }}"])

# Pattern registry for recommendations
registry = get_pattern_registry()


# Request/Response Models
class AnalysisRequest(BaseModel):
    """Request to analyze code."""
    code: str = Field(..., description="Code to analyze")
    context: dict[str, Any] = Field(default_factory=dict, description="Additional context")
    {% if 'risk_assessment' in pattern_ids %}
    include_risk_assessment: bool = Field(default=True, description="Include risk analysis")
    {% endif %}


class AnalysisResult(BaseModel):
    """Analysis result."""
    wizard_id: str
    analysis: dict[str, Any]
    {% if 'risk_assessment' in pattern_ids %}
    risk_assessment: dict[str, Any] | None = None
    {% endif %}
    {% if 'prediction' in pattern_ids %}
    predictions: list[dict[str, Any]] = Field(default_factory=list)
    {% endif %}
    {% if 'fix_application' in pattern_ids %}
    suggested_fixes: list[dict[str, Any]] = Field(default_factory=list)
    {% endif %}


{% if 'fix_application' in pattern_ids %}
class FixRequest(BaseModel):
    """Request to apply a fix."""
    wizard_id: str
    fix_id: str
    approval: dict[str, Any] = Field(..., description="User approval data")


class FixResult(BaseModel):
    """Fix application result."""
    wizard_id: str
    fix_id: str
    applied: bool
    modified_code: str | None = None
    error: str | None = None
{% endif %}


# In-memory session storage (replace with Redis in production)
sessions: dict[str, dict[str, Any]] = {}


@router.post("/analyze", response_model=AnalysisResult)
async def analyze_code(request: AnalysisRequest) -> AnalysisResult:
    """Analyze code and provide recommendations.

    Args:
        request: Analysis request with code and context

    Returns:
        Analysis results with recommendations

    Raises:
        HTTPException: If analysis fails
    """
    try:
        # Create session
        wizard_id = f"{{ wizard_name }}_{len(sessions) + 1}"

        # Perform code analysis
        analysis = await _analyze_code(request.code, request.context)

        result = AnalysisResult(
            wizard_id=wizard_id,
            analysis=analysis,
        )

        {% if 'risk_assessment' in pattern_ids %}
        # Perform risk assessment
        if request.include_risk_assessment:
            risk_assessment = await _assess_risk(analysis)
            result.risk_assessment = risk_assessment
        {% endif %}

        {% if 'prediction' in pattern_ids %}
        # Generate predictions
        predictions = await _generate_predictions(analysis)
        result.predictions = predictions
        {% endif %}

        {% if 'fix_application' in pattern_ids %}
        # Suggest fixes
        fixes = await _suggest_fixes(analysis)
        result.suggested_fixes = fixes
        {% endif %}

        # Store session
        sessions[wizard_id] = {
            "wizard_id": wizard_id,
            "code": request.code,
            "analysis": analysis,
            "result": result.model_dump(),
        }

        logger.info(f"Analysis complete for {wizard_id}")
        return result

    except Exception as e:
        logger.exception(f"Analysis failed: {e}")
        raise HTTPException(status_code=500, detail=f"Analysis failed: {str(e)}")


{% if 'fix_application' in pattern_ids %}
@router.post("/fix/apply", response_model=FixResult)
async def apply_fix(request: FixRequest) -> FixResult:
    """Apply a suggested fix to code.

    Args:
        request: Fix application request

    Returns:
        Fix application result

    Raises:
        HTTPException: If session not found or fix fails
    """
    # Validate session
    if request.wizard_id not in sessions:
        raise HTTPException(status_code=404, detail="Session not found")

    session = sessions[request.wizard_id]

    try:
        # Validate approval
        if not request.approval.get("user_approved"):
            raise HTTPException(status_code=400, detail="User approval required")

        # Find fix
        suggested_fixes = session["result"].get("suggested_fixes", [])
        fix = next((f for f in suggested_fixes if f["id"] == request.fix_id), None)

        if not fix:
            raise HTTPException(status_code=404, detail="Fix not found")

        # Apply fix (placeholder - implement actual fix application)
        modified_code = await _apply_fix(session["code"], fix)

        # Update session
        session["modified_code"] = modified_code
        session["applied_fixes"] = session.get("applied_fixes", []) + [request.fix_id]

        logger.info(f"Fix {request.fix_id} applied for {request.wizard_id}")

        return FixResult(
            wizard_id=request.wizard_id,
            fix_id=request.fix_id,
            applied=True,
            modified_code=modified_code,
        )

    except HTTPException:
        raise
    except Exception as e:
        logger.exception(f"Fix application failed: {e}")
        return FixResult(
            wizard_id=request.wizard_id,
            fix_id=request.fix_id,
            applied=False,
            error=str(e),
        )
{% endif %}


@router.get("/{wizard_id}/report", response_model=dict[str, Any])
async def get_report(wizard_id: str) -> dict[str, Any]:
    """Get analysis report.

    Args:
        wizard_id: Wizard session ID

    Returns:
        Complete analysis report

    Raises:
        HTTPException: If session not found
    """
    if wizard_id not in sessions:
        raise HTTPException(status_code=404, detail="Session not found")

    session = sessions[wizard_id]
    return {
        "wizard_id": wizard_id,
        "analysis": session["analysis"],
        "result": session["result"],
        {% if 'fix_application' in pattern_ids %}
        "applied_fixes": session.get("applied_fixes", []),
        "modified_code": session.get("modified_code"),
        {% endif %}
    }


# Helper functions
async def _analyze_code(code: str, context: dict[str, Any]) -> dict[str, Any]:
    """Analyze code (placeholder - implement actual analysis).

    Args:
        code: Code to analyze
        context: Additional context

    Returns:
        Analysis results
    """
    # TODO: Implement actual code analysis
    return {
        "lines_of_code": len(code.split("\n")),
        "complexity": "medium",
        "issues_found": 0,
        "context": context,
    }


{% if 'risk_assessment' in pattern_ids %}
async def _assess_risk(analysis: dict[str, Any]) -> dict[str, Any]:
    """Assess risk based on analysis.

    Args:
        analysis: Code analysis results

    Returns:
        Risk assessment
    """
    # TODO: Implement actual risk assessment
    return {
        "alert_level": "LOW",
        "risk_score": 0.2,
        "by_risk_level": {
            "critical": 0,
            "high": 0,
            "medium": 0,
            "low": 0,
        },
    }
{% endif %}


{% if 'prediction' in pattern_ids %}
async def _generate_predictions(analysis: dict[str, Any]) -> list[dict[str, Any]]:
    """Generate predictions about future issues.

    Args:
        analysis: Code analysis results

    Returns:
        List of predictions
    """
    # TODO: Implement actual predictions
    return [
        {
            "type": "performance",
            "confidence": 0.8,
            "description": "May experience performance issues with large datasets",
        }
    ]
{% endif %}


{% if 'fix_application' in pattern_ids %}
async def _suggest_fixes(analysis: dict[str, Any]) -> list[dict[str, Any]]:
    """Suggest fixes for identified issues.

    Args:
        analysis: Code analysis results

    Returns:
        List of suggested fixes
    """
    # TODO: Implement actual fix suggestions
    return [
        {
            "id": "fix_1",
            "type": "optimization",
            "description": "Add caching to improve performance",
            "confidence": 0.9,
        }
    ]


async def _apply_fix(code: str, fix: dict[str, Any]) -> str:
    """Apply a fix to code.

    Args:
        code: Original code
        fix: Fix to apply

    Returns:
        Modified code
    """
    # TODO: Implement actual fix application
    return code + f"\n# Applied fix: {fix['id']}\n"
{% endif %}
