"""Code Review Workflow — Agent SDK Native.

Delegates code review to four specialized Claude Agent SDK subagents
(security, quality, performance, architecture) and synthesizes their
findings into a unified WorkflowResult.

Prior to v4.2.0 this was a mixin-based multi-stage pipeline that made
direct LLM calls. The SDK-native implementation replaces that with
`claude_agent_sdk.query()` and `AgentDefinition` subagents while
preserving the same public interface (`CodeReviewWorkflow`, `code-review`
slug) and re-exports used by downstream code.

Copyright 2025-2026 Smart-AI-Memory
Licensed under the Apache License, Version 2.0
"""

import logging
from datetime import datetime
from pathlib import Path
from typing import Any

import claude_agent_sdk

from .agent_sdk_adapter import (
    AgentRunResult,
    AgentSDKResultAdapter,
    build_result_text,
    collect_agent_output,
    get_max_budget_usd,
    get_subagent_model,
)
from .base import BaseWorkflow, ModelTier
from .code_review_analysis_helpers import (  # noqa: F401 — re-exported
    _format_findings_for_prompt,
    _gather_file_snippets,
    _parse_deep_enrichment,
    _recount_by_key,
)
from .code_review_report import format_code_review_report  # noqa: F401
from .data_classes import CostReport, WorkflowResult, WorkflowStage
from .output_schemas import WORKFLOW_OUTPUT_SCHEMA
from .step_config import WorkflowStepConfig

logger = logging.getLogger(__name__)

# Depth → max agent turns mapping
_DEPTH_MAX_TURNS: dict[str, int] = {
    "quick": 10,
    "standard": 20,
    "deep": 40,
}

_SUBAGENT_NAMES = [
    "security-reviewer",
    "quality-reviewer",
    "perf-reviewer",
    "architect-reviewer",
]

_SYSTEM_PROMPT = """\
You are a senior code review orchestrator. You coordinate four \
specialized subagents to produce a unified code review report. \
Be thorough but concise. Cite file paths and line numbers when possible.\
"""

_TASK_PROMPT_TEMPLATE = """\
Review the codebase at {path} using the four specialized subagents \
below. Each subagent should focus on its domain and report findings \
as structured markdown.

After all subagents finish, synthesize their findings into a single \
report with these sections:

## Summary
Overall code health score (0-100) and a 2-3 sentence executive summary.

## Security
Findings from the security reviewer.

## Quality
Findings from the quality reviewer.

## Performance
Findings from the performance reviewer.

## Architecture
Findings from the architecture reviewer.

## Suggestions
Actionable next steps ordered by priority.\
"""

# Kept for backward compatibility — consumed by tests and step executor
CODE_REVIEW_STEPS = {
    "architect_review": WorkflowStepConfig(
        name="architect_review",
        task_type="architectural_decision",
        tier_hint="premium",
        description="Comprehensive architectural code review",
        max_tokens=3000,
    ),
}


class CodeReviewWorkflow(BaseWorkflow):
    """SDK-native code review with four specialized subagents.

    Delegates all analysis to Claude Agent SDK subagents:
    - **security-reviewer** — injection, path traversal, secrets
    - **quality-reviewer** — complexity, error handling, duplication
    - **perf-reviewer** — N+1, blocking I/O, unnecessary copies
    - **architect-reviewer** — coupling, SOLID, circular deps

    The orchestrator synthesizes findings into a unified report.

    Usage::

        workflow = CodeReviewWorkflow()
        result = await workflow.execute(path="src/", depth="standard")
    """

    name = "code-review"
    description = "Agent SDK-powered code review with 4 specialized subagents"
    stages = ["agent-review"]
    tier_map = {"agent-review": ModelTier.CAPABLE}

    def __init__(self, **kwargs: Any) -> None:
        """Initialize workflow.

        Args:
            **kwargs: Passed to BaseWorkflow.__init__().
        """
        super().__init__(**kwargs)

    async def execute(self, **kwargs: Any) -> WorkflowResult:
        """Execute the Agent SDK code review.

        Args:
            **kwargs: Keyword arguments.
                path (str): Required. Directory or file to review.
                depth (str): Review depth — "quick", "standard",
                    or "deep". Defaults to "standard".

        Returns:
            WorkflowResult with findings, suggestions, and metadata.
        """
        path_arg: str = kwargs.get("path", "")
        depth: str = kwargs.get("depth", "standard")

        if not path_arg:
            return self._error_result("path argument is required")

        resolved_path = str(Path(path_arg).resolve())
        max_turns = _DEPTH_MAX_TURNS.get(depth, 20)

        started_at = datetime.now()

        try:
            run_result = await self._run_agent_review(resolved_path, max_turns, depth)
            completed_at = datetime.now()

            return AgentSDKResultAdapter.from_agent_output(
                result_text=run_result.result_text,
                subagent_names=_SUBAGENT_NAMES,
                started_at=started_at,
                completed_at=completed_at,
                metadata={
                    "path": resolved_path,
                    "depth": depth,
                    "max_turns": max_turns,
                },
                agent_run_result=run_result,
            )

        except ImportError as exc:
            logger.error("Agent SDK import failed: %s", exc)
            return self._error_result(f"Agent SDK unavailable: {exc}")
        except (ConnectionError, TimeoutError) as exc:
            logger.error("Agent SDK network error: %s", exc)
            return self._error_result(f"Agent SDK connection failed: {exc}")
        except Exception as exc:  # noqa: BLE001
            # INTENTIONAL: Catch-all for unknown SDK errors to
            # return a structured WorkflowResult rather than
            # crashing the CLI.
            logger.exception(
                "Agent SDK code review failed: %s",
                type(exc).__name__,
            )
            return self._error_result(f"Agent SDK error: {type(exc).__name__}: {exc}")

    async def _run_agent_review(
        self, resolved_path: str, max_turns: int, depth: str = "standard"
    ) -> AgentRunResult:
        """Run the Agent SDK review and return result text.

        Args:
            resolved_path: Absolute path to review.
            max_turns: Maximum agent turns.

        Returns:
            AgentRunResult with findings and SDK metadata.
        """
        assistant_parts: list[str] = []
        result_parts: list[str] = []
        run_result = AgentRunResult(result_text="No results returned.")
        async for message in claude_agent_sdk.query(
            prompt=_TASK_PROMPT_TEMPLATE.format(path=resolved_path),
            options=claude_agent_sdk.ClaudeAgentOptions(
                system_prompt=_SYSTEM_PROMPT,
                cwd=resolved_path,
                max_budget_usd=get_max_budget_usd(depth),
                allowed_tools=["Read", "Glob", "Grep", "Agent"],
                permission_mode="default",
                max_turns=max_turns,
                output_format=WORKFLOW_OUTPUT_SCHEMA,
                agents={
                    "security-reviewer": claude_agent_sdk.AgentDefinition(
                        description=("Security reviewer that finds " "vulnerabilities."),
                        prompt=(
                            "You are a security reviewer. Focus on: "
                            "eval/exec usage, injection "
                            "vulnerabilities, path traversal, "
                            "hardcoded secrets, and authentication "
                            "issues. Report each finding with file "
                            "path, line number, severity, and "
                            "remediation advice."
                        ),
                        tools=["Read", "Glob", "Grep"],
                        model=get_subagent_model("security-reviewer"),
                    ),
                    "quality-reviewer": claude_agent_sdk.AgentDefinition(
                        description=("Code quality reviewer for standards " "and patterns."),
                        prompt=(
                            "You are a code quality reviewer. Focus "
                            "on: code complexity, error handling "
                            "patterns, naming conventions, "
                            "duplication, and test coverage gaps. "
                            "Report each finding with file path, "
                            "severity, and improvement advice."
                        ),
                        tools=["Read", "Glob", "Grep"],
                        model=get_subagent_model("quality-reviewer"),
                    ),
                    "perf-reviewer": claude_agent_sdk.AgentDefinition(
                        description=("Performance reviewer for bottlenecks " "and inefficiencies."),
                        prompt=(
                            "You are a performance reviewer. Focus "
                            "on: N+1 patterns, unnecessary list "
                            "copies, blocking I/O in async code, "
                            "and missing caching opportunities. "
                            "Report each finding with file path, "
                            "estimated impact, and fix."
                        ),
                        tools=["Read", "Glob", "Grep"],
                        model=get_subagent_model("perf-reviewer"),
                    ),
                    "architect-reviewer": claude_agent_sdk.AgentDefinition(
                        description=("Architecture reviewer for design and " "coupling issues."),
                        prompt=(
                            "You are an architecture reviewer. "
                            "Focus on: coupling between modules, "
                            "SOLID violations, circular "
                            "dependencies, API design issues, and "
                            "abstraction level mismatches. Report "
                            "each finding with affected modules "
                            "and refactoring suggestions."
                        ),
                        tools=["Read", "Glob", "Grep"],
                        model=get_subagent_model("architect-reviewer"),
                    ),
                },
            ),
        ):
            sdk_result = collect_agent_output(message, assistant_parts, result_parts)
            if sdk_result is not None:
                run_result = sdk_result
        run_result.result_text = build_result_text(assistant_parts, result_parts)
        return run_result

    def _error_result(self, message: str) -> WorkflowResult:
        """Build a failed WorkflowResult with the given error message.

        Args:
            message: Human-readable error description.

        Returns:
            WorkflowResult with success=False.
        """
        now = datetime.now()
        return WorkflowResult(
            success=False,
            stages=[
                WorkflowStage(
                    name="agent-review",
                    tier=ModelTier.CAPABLE,
                    description="Agent SDK code review",
                ),
            ],
            final_output=None,
            cost_report=CostReport(
                total_cost=0.0,
                baseline_cost=0.0,
                savings=0.0,
                savings_percent=0.0,
            ),
            started_at=now,
            completed_at=now,
            total_duration_ms=0,
            provider="anthropic",
            error=message,
        )
