"""
DSS API Server.

REST API for design system operations.

Endpoints:
- Project management (CRUD)
- Figma integration (token extraction, component sync)
- Health checks
- Activity tracking
- Configuration management
- Service discovery

Modes:
- Server: Remote deployment, team distribution
- Local: Development companion
"""

import json
import os
import subprocess
import sys
from datetime import datetime
from pathlib import Path
from typing import Any, Dict, List, Optional

from dotenv import load_dotenv
from fastapi import BackgroundTasks, Depends, FastAPI, Header, HTTPException, Query
from fastapi.middleware.cors import CORSMiddleware
from fastapi.responses import JSONResponse
from fastapi.staticfiles import StaticFiles
from pydantic import BaseModel

from apps.api.browser_logger import router as browser_log_router
from dss import settings

# Load environment variables from .env file FIRST (before any other imports)
from dss.auth.atlassian_auth import get_auth
from dss.figma.figma_tools import FigmaToolSuite
from dss.services.config_service import ConfigService
from dss.services.project_manager import ProjectManager
from dss.services.sandboxed_fs import SandboxedFS
from dss.storage.json_store import (
    ActivityLog,
    Cache,
    CodeMetrics,
    Components,
    FigmaFiles,
    IntegrationHealth,
    Integrations,
    Projects,
    SyncHistory,
    Teams,
    TestResults,
    get_stats,
)

# Get project root - apps/api/server.py -> apps/api -> apps -> project_root
_server_file = Path(__file__).resolve()
_project_root = _server_file.parent.parent.parent  # /home/.../dss

# Try loading from multiple possible .env locations
env_paths = [
    _project_root / ".env",  # root .env (primary)
    _project_root / "storybook" / ".env",  # storybook/.env
    _server_file.parent / ".env",  # apps/api/.env
]
for env_path in env_paths:
    if env_path.exists():
        load_dotenv(env_path, override=True)
        break


# Add project root to path for dss package
sys.path.insert(0, str(Path(__file__).parent.parent.parent))

# Import browser logger router (local import from same directory)

# DSS package imports - unified package

# Additional DSS imports available:
# from dss import DesignToken, TokenSource, ProjectScanner
# from dss.ingest import CSSTokenSource, SCSSTokenSource, TailwindTokenSource
# from dss.analyze import ReactAnalyzer, StyleAnalyzer, QuickWinFinder
# from dss.storybook import StorybookScanner, StoryGenerator


# === Legacy Config Compatibility ===
# Wrapper to maintain compatibility with old config.x.y references
class _FigmaConfigCompat:
    @property
    def is_configured(self):
        return settings.figma_configured

    @property
    def token(self):
        return settings.FIGMA_TOKEN

    @property
    def cache_ttl(self):
        return settings.FIGMA_CACHE_TTL


class _ServerConfigCompat:
    @property
    def env(self):
        return settings.SERVER_ENV

    @property
    def port(self):
        return settings.SERVER_PORT

    @property
    def host(self):
        return settings.SERVER_HOST

    @property
    def is_production(self):
        return settings.is_production


class _ConfigCompat:
    figma = _FigmaConfigCompat()
    server = _ServerConfigCompat()

    def summary(self):
        return {
            "figma": {
                "configured": settings.figma_configured,
                "cache_ttl": settings.FIGMA_CACHE_TTL,
            },
            "server": {
                "port": settings.SERVER_PORT,
                "env": settings.SERVER_ENV,
                "log_level": settings.LOG_LEVEL,
            },
            "database": {"path": str(settings.DATABASE_PATH)},
        }


config = _ConfigCompat()


# === Runtime Configuration ===


class RuntimeConfig:
    """
    ⚙️ ENDOCRINE HORMONE STORAGE - Runtime configuration system.

    The endocrine system regulates behavior through hormones. This configuration
    manager stores the component's behavioral preferences and adaptation state.
    Persists to .dss/runtime-config.json so the component remembers its preferences
    even after sleep (shutdown).
    """

    def __init__(self):
        self.config_path = Path(__file__).parent.parent.parent / ".dss" / "runtime-config.json"
        self.config_path.parent.mkdir(parents=True, exist_ok=True)
        self._data = self._load()

    def _load(self) -> dict:
        if self.config_path.exists():
            try:
                return json.loads(self.config_path.read_text())
            except (json.JSONDecodeError, IOError):
                # Config file corrupted or unreadable, use defaults
                pass
        return {
            "mode": "local",  # "local" or "server"
            "figma": {"token": "", "configured": False},
            "services": {
                "storybook": {"enabled": False, "port": 6006, "url": ""},
                "chromatic": {"enabled": False, "project_token": ""},
                "github": {"enabled": False, "repo": ""},
            },
            "features": {
                "visual_qa": True,
                "token_sync": True,
                "code_gen": True,
                "ai_advisor": False,
            },
        }

    def _save(self):
        self.config_path.write_text(json.dumps(self._data, indent=2))

    def get(self, key: str = None):
        if key is None:
            # Return safe copy without secrets
            safe = self._data.copy()
            if safe.get("figma", {}).get("token"):
                safe["figma"]["token"] = "***configured***"
            return safe
        return self._data.get(key)

    def set(self, key: str, value: Any):
        self._data[key] = value
        self._save()
        return self._data[key]

    def update(self, updates: dict):
        for key, value in updates.items():
            if isinstance(value, dict) and isinstance(self._data.get(key), dict):
                self._data[key].update(value)
            else:
                self._data[key] = value
        self._save()
        return self.get()

    def set_figma_token(self, token: str):
        self._data["figma"]["token"] = token
        self._data["figma"]["configured"] = bool(token)
        self._save()
        # Also update the global config
        os.environ["FIGMA_TOKEN"] = token
        return {"configured": bool(token)}


runtime_config = RuntimeConfig()


# === MVP1 Services Initialization ===

# Initialize services for project configuration architecture
config_service = ConfigService()
project_manager = ProjectManager(Projects, config_service)

# Ensure database schema is up to date (adds root_path column if missing)
ProjectManager.ensure_schema()


# === Service Discovery ===


class ServiceDiscovery:
    """
    Service discovery for companion services (Storybook, Chromatic, dev servers).

    Checks known ports to discover running services.
    """

    KNOWN_SERVICES = {
        "storybook": {"ports": [6006, 6007], "health": "/"},
        "chromatic": {"ports": [], "health": None},
        "vite": {"ports": [5173, 5174, 3000], "health": "/"},
        "webpack": {"ports": [8080, 8081], "health": "/"},
        "nextjs": {"ports": [3000, 3001], "health": "/"},
    }

    @classmethod
    async def discover(cls) -> dict:
        """Discover running services by checking known ports."""
        import socket

        discovered = {}
        for service, info in cls.KNOWN_SERVICES.items():
            for port in info["ports"]:
                try:
                    sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
                    sock.settimeout(0.5)
                    result = sock.connect_ex(("127.0.0.1", port))
                    sock.close()
                    if result == 0:
                        discovered[service] = {
                            "running": True,
                            "port": port,
                            "url": f"http://localhost:{port}",
                        }
                        break
                except (OSError, socket.error):
                    # Service not running on this port
                    pass
            if service not in discovered:
                discovered[service] = {"running": False, "port": None, "url": None}

        return discovered

    @classmethod
    async def check_storybook(cls) -> dict:
        """Check Storybook status specifically."""
        import httpx

        configured = runtime_config.get("services").get("storybook", {})
        port = configured.get("port", 6006)
        url = configured.get("url") or f"http://localhost:{port}"

        try:
            async with httpx.AsyncClient(timeout=2.0) as client:
                resp = await client.get(url)
                return {"running": resp.status_code == 200, "url": url, "port": port}
        except (httpx.ConnectError, httpx.TimeoutException, httpx.HTTPError):
            # Storybook not running or unreachable
            return {"running": False, "url": url, "port": port}


# === App Setup ===

app = FastAPI(
    title="Design System Server (DSS)",
    description="API for design system management and Figma integration",
    version="1.0.0",
)

app.add_middleware(
    CORSMiddleware,
    allow_origins=["*"],
    allow_credentials=True,
    allow_methods=["*"],
    allow_headers=["*"],
)

# Include browser logger router for console log forwarding
app.include_router(browser_log_router)

# Mount Admin UI static files
UI_DIR = Path(__file__).parent.parent.parent / "admin-ui"
if UI_DIR.exists():
    app.mount("/admin-ui", StaticFiles(directory=str(UI_DIR), html=True), name="admin-ui")

# Initialize Figma tools with token from runtime config
figma_config = runtime_config.get("figma")
figma_token_at_startup = figma_config.get("token") if figma_config else None
figma_suite = FigmaToolSuite(
    token=figma_token_at_startup,
    output_dir=str(Path(__file__).parent.parent.parent / ".dss" / "output"),
)


# === Request/Response Models ===


class ProjectCreate(BaseModel):
    name: str
    description: str = ""
    figma_file_key: str = ""
    root_path: str = ""  # MVP1: Project root directory path


class ProjectUpdate(BaseModel):
    name: Optional[str] = None
    description: Optional[str] = None
    figma_file_key: Optional[str] = None
    status: Optional[str] = None
    root_path: Optional[str] = None  # MVP1: Update project root path


class FigmaExtractRequest(BaseModel):
    file_key: str
    format: str = "css"


class FigmaSyncRequest(BaseModel):
    file_key: str
    target_path: str
    format: str = "css"


class TeamCreate(BaseModel):
    name: str
    description: str = ""


class FigmaFileCreate(BaseModel):
    figma_url: str
    file_name: str
    file_key: str


class ESRECreate(BaseModel):
    name: str
    definition_text: str
    expected_value: Optional[str] = None
    component_name: Optional[str] = None


class TokenDriftCreate(BaseModel):
    component_id: str
    property_name: str
    hardcoded_value: str
    file_path: str
    line_number: int
    severity: str = "warning"
    suggested_token: Optional[str] = None


# === Authentication ===


async def get_current_user(authorization: Optional[str] = Header(None)) -> Dict[str, Any]:
    """
    Dependency to get current authenticated user from JWT token.

    Usage: user = Depends(get_current_user)
    """
    if not authorization or not authorization.startswith("Bearer "):
        raise HTTPException(status_code=401, detail="Not authenticated")

    token = authorization.replace("Bearer ", "")
    auth = get_auth()
    user_data = auth.verify_token(token)

    if not user_data:
        raise HTTPException(status_code=401, detail="Invalid or expired token")

    return user_data


class LoginRequest(BaseModel):
    url: str  # Atlassian URL
    email: str
    api_token: str
    service: str = "jira"  # "jira" or "confluence"


@app.post("/api/auth/login")
async def login(request: LoginRequest):
    """
    Authenticate with Atlassian credentials.

    Validates credentials against Jira or Confluence API,
    creates/updates user in database, returns JWT token.
    """
    try:
        auth = get_auth()
        result = await auth.login(
            url=request.url,
            email=request.email,
            api_token=request.api_token,
            service=request.service,
        )
        return result
    except ValueError as e:
        raise HTTPException(status_code=401, detail=str(e))
    except Exception as e:
        raise HTTPException(status_code=500, detail=f"Login failed: {str(e)}")


@app.get("/api/auth/me")
async def get_me(user: Dict[str, Any] = Depends(get_current_user)):
    """Get current authenticated user info."""
    auth = get_auth()
    user_data = await auth.get_user_by_id(user["user_id"])
    if not user_data:
        raise HTTPException(status_code=404, detail="User not found")
    return user_data


# === Root & Health ===


@app.get("/")
async def root():
    """Redirect to Admin UI dashboard."""
    from fastapi.responses import RedirectResponse

    return RedirectResponse(url="/admin-ui/index.html")


@app.get("/health")
async def health():
    """
    Health check endpoint.

    Performs a complete health diagnostic on the DSS server.
    Returns 200 OK with service status.

    Services Checked:
    - Storage - Is the data directory accessible?
    - MCP Handler - Is the MCP handler initialized?
    - Figma - Is the Figma integration configured?
    """
    import os
    from pathlib import Path

    import psutil

    # Check storage connectivity
    storage_ok = False
    try:
        from dss.storage.json_store import DATA_DIR

        storage_ok = DATA_DIR.exists()
    except Exception as e:
        print(f"[Health] Storage check error: {type(e).__name__}: {e}", flush=True)

    # Check MCP handler functionality
    mcp_ok = False
    try:
        import sys
        from pathlib import Path

        project_root = Path(__file__).parent.parent.parent
        if str(project_root) not in sys.path:
            sys.path.insert(0, str(project_root))

        from dss.mcp_server.handler import get_mcp_handler
        handler = get_mcp_handler()
        mcp_ok = handler is not None
    except Exception as e:
        print(f"[Health] MCP handler check error: {type(e).__name__}: {e}", flush=True)

    # Get uptime
    try:
        process = psutil.Process(os.getpid())
        uptime_seconds = int(
            (datetime.now() - datetime.fromtimestamp(process.create_time())).total_seconds()
        )
    except:
        uptime_seconds = 0

    # Overall status
    status = "healthy" if (storage_ok and mcp_ok) else "degraded"

    return {
        "status": status,
        "uptime_seconds": uptime_seconds,
        "version": "0.8.0",
        "timestamp": datetime.utcnow().isoformat() + "Z",
        "services": {
            "storage": "ok" if storage_ok else "error",
            "mcp": "ok" if mcp_ok else "error",
            "figma": "connected" if config.figma.is_configured else "not configured",
        },
    }


# === DEBUG ENDPOINTS ===


@app.post("/api/browser-logs")
async def receive_browser_logs(logs: dict):
    """
    📋 BROWSER LOG COLLECTION ENDPOINT.

    Receives browser logs from the dashboard and stores them for debugging.
    Browser logger (browser-logger.js) POSTs logs here automatically or on demand.

    Expected payload:
    {
        "sessionId": "session-timestamp-random",
        "exportedAt": "ISO timestamp",
        "logs": [...],
        "diagnostic": {...}
    }
    """
    import time
    from pathlib import Path

    # Create browser logs directory if doesn't exist
    browser_logs_dir = Path(__file__).parent.parent.parent / ".dss" / "browser-logs"
    browser_logs_dir.mkdir(parents=True, exist_ok=True)

    # Get or generate session ID
    session_id = logs.get("sessionId", f"session-{int(time.time())}")

    # Store logs as JSON file
    log_file = browser_logs_dir / f"{session_id}.json"
    log_file.write_text(json.dumps(logs, indent=2))

    # Log to activity (skip if ActivityLog not available)
    try:
        with get_connection() as conn:
            conn.execute(
                """
                INSERT INTO activity_log (category, action, details, metadata, created_at)
                VALUES (?, ?, ?, ?, ?)
            """,
                (
                    "debug",
                    "browser_logs_received",
                    f"Received browser logs for session {session_id}",
                    json.dumps({"session_id": session_id, "log_count": len(logs.get("logs", []))}),
                    datetime.utcnow().isoformat(),
                ),
            )
            conn.commit()
    except:
        pass  # Activity logging is optional

    # Check for errors and create notification task
    error_count = logs.get("diagnostic", {}).get("errorCount", 0)
    warn_count = logs.get("diagnostic", {}).get("warnCount", 0)

    if error_count > 0 or warn_count > 0:
        # Create task for Claude to investigate
        try:
            import httpx

            task_data = {
                "title": f"Browser errors detected in session {session_id[:20]}...",
                "description": f"Detected {error_count} errors and {warn_count} warnings in browser session. Use dss_get_browser_errors('{session_id}') to investigate.",
                "priority": 3 if error_count > 0 else 5,
                "project": "dss-debug",
                "visibility": "public",
            }

            # Create task via task-queue MCP HTTP endpoint (if available)
            # This runs async - don't block browser log storage
            import asyncio

            async def create_task():
                try:
                    async with httpx.AsyncClient() as client:
                        # Task queue typically runs on same server
                        await client.post(
                            "http://localhost:8765/tasks", json=task_data, timeout=2.0
                        )
                except:
                    pass  # Task creation is best-effort

            # Run in background
            asyncio.create_task(create_task())
        except:
            pass  # Task creation is optional

    return {
        "status": "stored",
        "sessionId": session_id,
        "logCount": len(logs.get("logs", [])),
        "storedAt": datetime.utcnow().isoformat() + "Z",
        "errorsDetected": error_count > 0 or warn_count > 0,
    }


@app.get("/api/browser-logs/{session_id}")
async def get_browser_logs(session_id: str):
    """
    📋 RETRIEVE BROWSER LOGS.

    Retrieves stored browser logs by session ID.
    """
    from pathlib import Path

    browser_logs_dir = Path(__file__).parent.parent.parent / ".dss" / "browser-logs"
    log_file = browser_logs_dir / f"{session_id}.json"

    if not log_file.exists():
        raise HTTPException(status_code=404, detail=f"Session not found: {session_id}")

    logs = json.loads(log_file.read_text())
    return logs


@app.get("/api/debug/diagnostic")
async def get_debug_diagnostic():
    """
    🔍 COMPREHENSIVE SYSTEM DIAGNOSTIC.

    Returns detailed system diagnostic including:
    - Health status (from /health endpoint)
    - Browser log session count
    - API uptime
    - Database size and stats
    - Memory usage
    - Recent errors
    """
    import os
    from pathlib import Path

    import psutil

    # Get health status
    health_status = await health()

    # Get browser log sessions
    browser_logs_dir = Path(__file__).parent.parent.parent / ".dss" / "browser-logs"
    browser_logs_dir.mkdir(parents=True, exist_ok=True)
    browser_sessions = len(list(browser_logs_dir.glob("*.json")))

    # Get database size
    db_path = Path(__file__).parent.parent.parent / ".dss" / "dss.db"
    db_size_bytes = db_path.stat().st_size if db_path.exists() else 0

    # Get process stats
    process = psutil.Process(os.getpid())
    memory_info = process.memory_info()

    # Get recent errors from activity log
    try:
        with get_connection() as conn:
            recent_errors = conn.execute(
                """
                SELECT category, action, details, created_at
                FROM activity_log
                WHERE category = 'error' OR action LIKE '%error%' OR action LIKE '%fail%'
                ORDER BY created_at DESC
                LIMIT 10
            """
            ).fetchall()
            recent_errors = [
                {"category": row[0], "action": row[1], "details": row[2], "timestamp": row[3]}
                for row in recent_errors
            ]
    except:
        recent_errors = []

    return {
        "status": health_status["status"],
        "timestamp": datetime.utcnow().isoformat() + "Z",
        "health": health_status,
        "browser": {"session_count": browser_sessions, "logs_directory": str(browser_logs_dir)},
        "database": {
            "size_bytes": db_size_bytes,
            "size_mb": round(db_size_bytes / 1024 / 1024, 2),
            "path": str(db_path),
        },
        "process": {
            "pid": os.getpid(),
            "memory_rss_mb": round(memory_info.rss / 1024 / 1024, 2),
            "memory_vms_mb": round(memory_info.vms / 1024 / 1024, 2),
            "threads": process.num_threads(),
        },
        "recent_errors": recent_errors,
    }


@app.get("/api/debug/workflows")
async def list_workflows():
    """
    📋 LIST AVAILABLE DEBUG WORKFLOWS.

    Returns list of available workflows from .dss/WORKFLOWS/ directory.
    Each workflow is a markdown file with step-by-step debugging procedures.
    """
    from pathlib import Path

    workflows_dir = Path(__file__).parent.parent.parent / ".dss" / "WORKFLOWS"

    if not workflows_dir.exists():
        return {"workflows": [], "count": 0}

    workflows = []
    for workflow_file in sorted(workflows_dir.glob("*.md")):
        if workflow_file.name == "README.md":
            continue

        # Read first few lines for metadata
        content = workflow_file.read_text()
        lines = content.split("\n")

        # Extract title (first # heading)
        title = workflow_file.stem
        for line in lines[:10]:
            if line.startswith("# "):
                title = line[2:].strip()
                break

        # Extract purpose
        purpose = ""
        for i, line in enumerate(lines[:20]):
            if line.startswith("**Purpose**:"):
                purpose = line.replace("**Purpose**:", "").strip()
                break

        workflows.append(
            {
                "id": workflow_file.stem,
                "title": title,
                "purpose": purpose,
                "file": workflow_file.name,
                "path": str(workflow_file),
            }
        )

    return {"workflows": workflows, "count": len(workflows), "directory": str(workflows_dir)}


@app.get("/api/config")
async def get_config():
    """
    Public configuration endpoint.

    Returns ONLY safe, non-sensitive configuration values that are safe
    to expose to the client browser.

    SECURITY: This endpoint is the ONLY place where configuration is exposed.
    All other config values (secrets, API keys, etc.) must be server-only.
    """
    # Import here to avoid circular imports
    try:
        from config import get_public_config

        return get_public_config()
    except ImportError:
        # Fallback for legacy deployments
        return {
            "dssHost": os.environ.get("DSS_HOST", "localhost"),
            "dssPort": os.environ.get("DSS_PORT", "3456"),
            "storybookPort": 6006,
        }


@app.get("/api/stats")
async def get_statistics():
    """Get database and system statistics."""
    db_stats = get_stats()
    return {
        "database": db_stats,
        "figma": {"mode": figma_suite.mode, "configured": config.figma.is_configured},
    }


# === Projects ===


@app.get("/api/projects")
async def list_projects(status: Optional[str] = None):
    """List all projects."""
    projects = Projects.list(status=status)
    return projects


@app.get("/api/projects/{project_id}")
async def get_project(project_id: str):
    """Get a specific project."""
    project = Projects.get(project_id)
    if not project:
        raise HTTPException(status_code=404, detail="Project not found")
    return project


@app.post("/api/projects")
async def create_project(project: ProjectCreate):
    """Create a new project."""
    project_id = f"proj-{int(datetime.utcnow().timestamp() * 1000)}"
    created = Projects.create(
        id=project_id,
        name=project.name,
        description=project.description,
        figma_file_key=project.figma_file_key,
    )
    ActivityLog.log(
        action="project_created",
        entity_type="project",
        entity_id=project_id,
        project_id=project_id,
        details={"name": project.name},
    )
    return created


@app.put("/api/projects/{project_id}")
async def update_project(project_id: str, update: ProjectUpdate):
    """Update a project."""
    existing = Projects.get(project_id)
    if not existing:
        raise HTTPException(status_code=404, detail="Project not found")

    update_data = {k: v for k, v in update.dict().items() if v is not None}
    if not update_data:
        return existing

    updated = Projects.update(project_id, **update_data)
    ActivityLog.log(
        action="project_updated",
        entity_type="project",
        entity_id=project_id,
        project_id=project_id,
        details=update_data,
    )
    return updated


@app.delete("/api/projects/{project_id}")
async def delete_project(project_id: str):
    """Delete a project."""
    if not Projects.delete(project_id):
        raise HTTPException(status_code=404, detail="Project not found")
    ActivityLog.log(action="project_deleted", entity_type="project", entity_id=project_id)
    return {"success": True}


# === Components ===


@app.get("/api/projects/{project_id}/components")
async def list_components(project_id: str):
    """List components for a project."""
    if not Projects.get(project_id):
        raise HTTPException(status_code=404, detail="Project not found")
    return Components.list(project_id)


# === Figma Integration ===


@app.post("/api/figma/extract-variables")
async def extract_variables(request: FigmaExtractRequest, background_tasks: BackgroundTasks):
    """Extract design tokens from Figma variables."""
    try:
        result = await figma_suite.extract_variables(request.file_key, request.format)
        ActivityLog.log(
            action="figma_extract_variables",
            entity_type="figma",
            details={
                "file_key": request.file_key,
                "format": request.format,
                "tokens_count": result.get("tokens_count"),
            },
        )
        return result
    except Exception as e:
        raise HTTPException(status_code=500, detail=f"Token extraction failed: {str(e)}")


@app.post("/api/figma/extract-components")
async def extract_components(request: FigmaExtractRequest):
    """Extract component definitions from Figma."""
    try:
        result = await figma_suite.extract_components(request.file_key)
        ActivityLog.log(
            action="figma_extract_components",
            entity_type="figma",
            details={"file_key": request.file_key, "count": result.get("components_count")},
        )
        return result
    except Exception as e:
        raise HTTPException(status_code=500, detail=str(e))


@app.post("/api/figma/extract-styles")
async def extract_styles(request: FigmaExtractRequest):
    """Extract style definitions from Figma."""
    try:
        result = await figma_suite.extract_styles(request.file_key)
        return result
    except Exception as e:
        raise HTTPException(status_code=500, detail=f"Style extraction failed: {str(e)}")


@app.post("/api/figma/sync-tokens")
async def sync_tokens(request: FigmaSyncRequest):
    """Sync tokens from Figma to target file."""
    try:
        result = await figma_suite.sync_tokens(
            request.file_key, request.target_path, request.format
        )
        ActivityLog.log(
            action="figma_sync_tokens",
            entity_type="figma",
            details={
                "file_key": request.file_key,
                "target": request.target_path,
                "tokens_synced": result.get("tokens_synced"),
            },
        )
        return result
    except Exception as e:
        raise HTTPException(status_code=500, detail=f"Token sync failed: {str(e)}")


@app.post("/api/figma/validate")
async def validate_components(request: FigmaExtractRequest):
    """Validate component definitions against design system rules."""
    try:
        result = await figma_suite.validate_components(request.file_key)
        return result
    except Exception as e:
        raise HTTPException(status_code=500, detail=str(e))


@app.post("/api/figma/generate-code")
async def generate_code(file_key: str, component_name: str, framework: str = "webcomponent"):
    """Generate component code from Figma."""
    try:
        result = await figma_suite.generate_code(file_key, component_name, framework)
        return result
    except Exception as e:
        raise HTTPException(status_code=500, detail=str(e))


@app.get("/api/figma/health")
async def figma_health():
    """Check Figma connection status."""
    is_live = figma_suite.mode == "live"
    return {
        "status": "ok" if is_live else "degraded",
        "mode": figma_suite.mode,
        "message": "Figma connected"
        if is_live
        else "Running in mock mode. Configure FIGMA_TOKEN for live API.",
    }


# === Discovery ===


@app.get("/api/discovery")
async def run_discovery(path: str = "."):
    """Run project discovery."""
    script_path = Path(__file__).parent.parent / "discovery" / "discover.sh"

    try:
        result = subprocess.run(
            [str(script_path), path], capture_output=True, text=True, timeout=30
        )
        if result.returncode == 0:
            return json.loads(result.stdout)
        else:
            return {"error": result.stderr}
    except subprocess.TimeoutExpired:
        raise HTTPException(status_code=504, detail="Discovery timed out")
    except json.JSONDecodeError:
        return {"raw_output": result.stdout}


class DiscoveryScanRequest(BaseModel):
    path: str = "."
    full_scan: bool = False


@app.post("/api/discovery/scan")
async def scan_project(request: DiscoveryScanRequest):
    """Run project discovery scan."""
    script_path = Path(__file__).parent.parent / "discovery" / "discover.sh"

    try:
        result = subprocess.run(
            [str(script_path), request.path], capture_output=True, text=True, timeout=30
        )
        if result.returncode == 0:
            data = json.loads(result.stdout)
            ActivityLog.log(
                action="discovery_scan",
                entity_type="project",
                details={"path": request.path, "full_scan": request.full_scan},
            )
            return data
        else:
            return {"error": result.stderr}
    except subprocess.TimeoutExpired:
        raise HTTPException(status_code=504, detail="Discovery timed out")
    except json.JSONDecodeError:
        return {"raw_output": result.stdout}


@app.get("/api/discovery/stats")
async def get_discovery_stats():
    """Get project statistics."""
    db_stats = get_stats()
    return {
        "projects": db_stats.get("projects", {}),
        "tokens": db_stats.get("tokens", {"total": 0}),
        "components": db_stats.get("components", {"total": 0}),
        "syncs": {
            "today": 0,
            "this_week": 0,
            "total": db_stats.get("syncs", {}).get("total", 0),
            "last_sync": None,
        },
        "stories": {"total": 0},
    }


@app.get("/api/discovery/activity")
async def get_discovery_activity(limit: int = Query(default=10, le=50)):
    """Get recent discovery activity."""
    return ActivityLog.recent(limit=limit)


@app.get("/api/discovery/ports")
async def discover_ports():
    """Discover listening ports and services."""
    script_path = Path(__file__).parent.parent / "discovery" / "discover-ports.sh"

    try:
        result = subprocess.run([str(script_path)], capture_output=True, text=True, timeout=10)
        return json.loads(result.stdout)
    except Exception as e:
        raise HTTPException(status_code=500, detail=str(e))


@app.get("/api/discovery/env")
async def discover_env(path: str = "."):
    """Analyze environment configuration."""
    script_path = Path(__file__).parent.parent / "discovery" / "discover-env.sh"

    try:
        result = subprocess.run(
            [str(script_path), path], capture_output=True, text=True, timeout=10
        )
        return json.loads(result.stdout)
    except Exception as e:
        raise HTTPException(status_code=500, detail=str(e))


# === Activity & Sync History ===


@app.get("/api/activity")
async def get_activity(limit: int = Query(default=50, le=100)):
    """Get recent activity log."""
    return ActivityLog.recent(limit=limit)


@app.get("/api/sync-history")
async def get_sync_history(
    project_id: Optional[str] = None, limit: int = Query(default=20, le=100)
):
    """Get sync history."""
    return SyncHistory.recent(project_id=project_id, limit=limit)


# === Audit Log (Enhanced) ===


@app.get("/api/audit")
async def get_audit_log(
    project_id: Optional[str] = None,
    user_id: Optional[str] = None,
    action: Optional[str] = None,
    category: Optional[str] = None,
    entity_type: Optional[str] = None,
    severity: Optional[str] = None,
    start_date: Optional[str] = None,
    end_date: Optional[str] = None,
    limit: int = Query(default=50, le=200),
    offset: int = Query(default=0, ge=0),
):
    """
    Get audit log with advanced filtering.

    Query parameters:
    - project_id: Filter by project
    - user_id: Filter by user
    - action: Filter by specific action
    - category: Filter by category (design_system, code, configuration, etc.)
    - entity_type: Filter by entity type (project, component, token, etc.)
    - severity: Filter by severity (info, warning, critical)
    - start_date: Filter from date (ISO format)
    - end_date: Filter to date (ISO format)
    - limit: Number of results (max 200)
    - offset: Pagination offset
    """
    activities = ActivityLog.search(
        project_id=project_id,
        user_id=user_id,
        action=action,
        category=category,
        entity_type=entity_type,
        severity=severity,
        start_date=start_date,
        end_date=end_date,
        limit=limit,
        offset=offset,
    )

    total = ActivityLog.count(
        project_id=project_id, user_id=user_id, action=action, category=category
    )

    return {
        "activities": activities,
        "total": total,
        "limit": limit,
        "offset": offset,
        "has_more": (offset + limit) < total,
    }


@app.get("/api/audit/stats")
async def get_audit_stats():
    """Get audit log statistics."""
    return {
        "by_category": ActivityLog.get_stats_by_category(),
        "by_user": ActivityLog.get_stats_by_user(),
        "total_count": ActivityLog.count(),
    }


@app.get("/api/audit/categories")
async def get_audit_categories():
    """Get list of all activity categories."""
    return ActivityLog.get_categories()


@app.get("/api/audit/actions")
async def get_audit_actions():
    """Get list of all activity actions."""
    return ActivityLog.get_actions()


class AuditLogRequest(BaseModel):
    action: str
    entity_type: Optional[str] = None
    entity_id: Optional[str] = None
    entity_name: Optional[str] = None
    project_id: Optional[str] = None
    user_id: Optional[str] = None
    user_name: Optional[str] = None
    team_context: Optional[str] = None
    description: Optional[str] = None
    category: Optional[str] = None
    severity: str = "info"
    details: Optional[Dict[str, Any]] = None


@app.post("/api/audit")
async def create_audit_entry(entry: AuditLogRequest, request: Any):
    """
    Create a new audit log entry.

    Automatically captures IP and user agent from request.
    """
    # Extract IP and user agent from request
    ip_address = request.client.host if hasattr(request, "client") else None
    user_agent = request.headers.get("user-agent") if hasattr(request, "headers") else None

    ActivityLog.log(
        action=entry.action,
        entity_type=entry.entity_type,
        entity_id=entry.entity_id,
        entity_name=entry.entity_name,
        project_id=entry.project_id,
        user_id=entry.user_id,
        user_name=entry.user_name,
        team_context=entry.team_context,
        description=entry.description,
        category=entry.category,
        severity=entry.severity,
        details=entry.details,
        ip_address=ip_address,
        user_agent=user_agent,
    )

    return {"success": True, "message": "Audit entry created"}


@app.get("/api/audit/export")
async def export_audit_log(
    project_id: Optional[str] = None,
    category: Optional[str] = None,
    start_date: Optional[str] = None,
    end_date: Optional[str] = None,
    format: str = Query(default="json", regex="^(json|csv)$"),
):
    """Export audit log in JSON or CSV format."""
    activities = ActivityLog.search(
        project_id=project_id,
        category=category,
        start_date=start_date,
        end_date=end_date,
        limit=10000,  # Max export limit
    )

    if format == "csv":
        import csv
        import io

        from fastapi.responses import StreamingResponse

        output = io.StringIO()
        if activities:
            fieldnames = [
                "created_at",
                "user_name",
                "action",
                "category",
                "description",
                "project_id",
                "entity_type",
                "entity_name",
                "severity",
            ]
            writer = csv.DictWriter(output, fieldnames=fieldnames, extrasaction="ignore")
            writer.writeheader()
            writer.writerows(activities)

        output.seek(0)
        return StreamingResponse(
            iter([output.getvalue()]),
            media_type="text/csv",
            headers={
                "Content-Disposition": f"attachment; filename=audit_log_{datetime.utcnow().strftime('%Y%m%d_%H%M%S')}.csv"
            },
        )
    else:
        # JSON format
        return {
            "activities": activities,
            "total": len(activities),
            "exported_at": datetime.utcnow().isoformat() + "Z",
        }


# === Teams ===


@app.get("/api/teams")
async def list_teams():
    """List all teams."""
    return Teams.list()


@app.post("/api/teams")
async def create_team(team: TeamCreate):
    """Create a new team."""
    team_id = f"team-{int(datetime.utcnow().timestamp() * 1000)}"
    created = Teams.create(team_id, team.name, team.description)
    return created


@app.get("/api/teams/{team_id}")
async def get_team(team_id: str):
    """Get a specific team."""
    team = Teams.get(team_id)
    if not team:
        raise HTTPException(status_code=404, detail="Team not found")
    return team


# === Cache Management ===


@app.post("/api/cache/clear")
async def clear_cache():
    """Clear expired cache entries."""
    count = Cache.clear_expired()
    return {"cleared": count}


@app.delete("/api/cache")
async def purge_cache():
    """Purge all cache entries."""
    Cache.clear_all()
    return {"success": True}


# === Configuration Management ===


class ConfigUpdate(BaseModel):
    mode: Optional[str] = None
    figma_token: Optional[str] = None
    services: Optional[Dict[str, Any]] = None
    features: Optional[Dict[str, bool]] = None


@app.get("/api/config")
async def get_config():
    """Get current runtime configuration (secrets masked)."""
    return {
        "config": runtime_config.get(),
        "env": config.summary(),
        "mode": runtime_config.get("mode"),
    }


@app.put("/api/config")
async def update_config(update: ConfigUpdate):
    """Update runtime configuration."""
    updates = {}

    if update.mode:
        updates["mode"] = update.mode

    if update.figma_token is not None:
        runtime_config.set_figma_token(update.figma_token)
        # Reinitialize Figma tools with new token
        global figma_suite
        figma_suite = FigmaToolSuite(
            token=update.figma_token,
            output_dir=str(Path(__file__).parent.parent.parent / ".dss" / "output"),
        )
        ActivityLog.log(
            action="figma_token_updated",
            entity_type="config",
            details={"configured": bool(update.figma_token)},
        )

    if update.services:
        updates["services"] = update.services

    if update.features:
        updates["features"] = update.features

    if updates:
        runtime_config.update(updates)
        ActivityLog.log(
            action="config_updated", entity_type="config", details={"keys": list(updates.keys())}
        )

    return runtime_config.get()


@app.get("/api/config/figma")
async def get_figma_config():
    """Get Figma configuration status."""
    figma_cfg = runtime_config.get("figma")
    return {
        "configured": figma_cfg.get("configured", False),
        "mode": figma_suite.mode,
        "features": {
            "extract_variables": True,
            "extract_components": True,
            "extract_styles": True,
            "sync_tokens": True,
            "validate": True,
            "generate_code": True,
        },
    }


@app.post("/api/config/figma/test")
async def test_figma_connection():
    """Test Figma API connection."""
    try:
        # Try to make a simple API call
        if not runtime_config.get("figma").get("configured"):
            return {"success": False, "error": "Figma token not configured"}

        # Test with a minimal API call
        import httpx

        token = runtime_config._data["figma"]["token"]
        async with httpx.AsyncClient() as client:
            resp = await client.get("https://api.figma.com/v1/me", headers={"X-Figma-Token": token})
            if resp.status_code == 200:
                user = resp.json()
                return {
                    "success": True,
                    "user": user.get("email", "connected"),
                    "handle": user.get("handle"),
                }
            else:
                return {"success": False, "error": f"API returned {resp.status_code}"}
    except Exception as e:
        return {"success": False, "error": str(e)}


# === Service Discovery ===


@app.get("/api/services")
async def list_services():
    """List configured and discovered services."""
    configured = runtime_config.get("services")
    discovered = await ServiceDiscovery.discover()

    return {
        "configured": configured,
        "discovered": discovered,
        "storybook": await ServiceDiscovery.check_storybook(),
    }


@app.put("/api/services/{service_name}")
async def configure_service(service_name: str, config_data: Dict[str, Any]):
    """Configure a service."""
    services = runtime_config.get("services") or {}
    services[service_name] = {**services.get(service_name, {}), **config_data}
    runtime_config.set("services", services)

    ActivityLog.log(
        action="service_configured",
        entity_type="service",
        entity_id=service_name,
        details={"keys": list(config_data.keys())},
    )

    return services[service_name]


@app.get("/api/services/storybook")
async def get_storybook_status():
    """Get Storybook service status."""
    return await ServiceDiscovery.check_storybook()


@app.post("/api/storybook/init")
async def init_storybook(request_data: Dict[str, Any] = None):
    """
    Initialize Storybook with design system components.

    Clears existing generated stories and generates new ones from
    the specified component source path.

    Request body (optional):
        source_path: Path to components directory (defaults to configured path)

    Returns:
        JSON with generation status and count
    """
    import shutil
    import sys

    try:
        # Get paths
        dss_mvp1_path = Path(__file__).parent.parent.parent / "dss-mvp1"
        generated_dir = dss_mvp1_path / "stories" / "generated"

        # Default source path - can be overridden in request
        source_path = dss_mvp1_path / "dss" / "components"
        if request_data and request_data.get("source_path"):
            # Validate path is within allowed directories
            requested_path = Path(request_data["source_path"]).resolve()
            if not str(requested_path).startswith(str(dss_mvp1_path.resolve())):
                raise HTTPException(status_code=400, detail="Source path must be within dss-mvp1")
            source_path = requested_path

        # Step 1: Clear existing generated stories
        if generated_dir.exists():
            for item in generated_dir.iterdir():
                if item.name != ".gitkeep":
                    if item.is_dir():
                        shutil.rmtree(item)
                    else:
                        item.unlink()
        else:
            generated_dir.mkdir(parents=True, exist_ok=True)

        # Step 2: Generate stories using StoryGenerator
        stories_generated = 0
        errors = []

        # Add dss-mvp1 to path for imports
        sys.path.insert(0, str(dss_mvp1_path))

        try:
            from dss.storybook.generator import StoryGenerator, StoryTemplate

            generator = StoryGenerator(str(dss_mvp1_path))

            # Check if source path exists and has components
            if source_path.exists():
                results = await generator.generate_stories_for_directory(
                    str(source_path.relative_to(dss_mvp1_path)),
                    template=StoryTemplate.CSF3,
                    dry_run=False,
                )

                # Move generated stories to stories/generated/
                for result in results:
                    if "story" in result and "error" not in result:
                        story_filename = Path(result["component"]).stem + ".stories.js"
                        output_path = generated_dir / story_filename
                        output_path.write_text(result["story"])
                        stories_generated += 1
                    elif "error" in result:
                        errors.append(result)
            else:
                # No components yet - that's okay, Storybook will show welcome
                pass

        except ImportError as e:
            # StoryGenerator not available - log but don't fail
            errors.append({"error": f"StoryGenerator import failed: {str(e)}"})
        finally:
            # Clean up path
            if str(dss_mvp1_path) in sys.path:
                sys.path.remove(str(dss_mvp1_path))

        ActivityLog.log(
            action="storybook_initialized",
            entity_type="storybook",
            details={"stories_generated": stories_generated, "errors_count": len(errors)},
        )

        return {
            "success": True,
            "stories_generated": stories_generated,
            "message": f"Generated {stories_generated} stories"
            if stories_generated > 0
            else "Storybook initialized (no components found)",
            "errors": errors if errors else None,
        }

    except HTTPException:
        raise
    except Exception as e:
        ActivityLog.log(
            action="storybook_init_failed", entity_type="storybook", details={"error": str(e)}
        )
        raise HTTPException(status_code=500, detail=f"Storybook initialization failed: {str(e)}")


@app.delete("/api/storybook/stories")
async def clear_storybook_stories():
    """
    Clear all generated stories from Storybook.

    Returns Storybook to blank state (only Welcome page).
    """
    import shutil

    try:
        dss_mvp1_path = Path(__file__).parent.parent.parent / "dss-mvp1"
        generated_dir = dss_mvp1_path / "stories" / "generated"

        cleared_count = 0
        if generated_dir.exists():
            for item in generated_dir.iterdir():
                if item.name != ".gitkeep":
                    if item.is_dir():
                        shutil.rmtree(item)
                    else:
                        item.unlink()
                    cleared_count += 1

        ActivityLog.log(
            action="storybook_cleared",
            entity_type="storybook",
            details={"cleared_count": cleared_count},
        )

        return {
            "success": True,
            "cleared_count": cleared_count,
            "message": "Storybook stories cleared",
        }

    except Exception as e:
        raise HTTPException(status_code=500, detail=f"Failed to clear stories: {str(e)}")


# === Design System Ingestion ===


class IngestionRequest(BaseModel):
    """Request for design system ingestion via natural language."""

    prompt: str
    project_id: Optional[str] = None


class IngestionConfirmRequest(BaseModel):
    """Confirm ingestion of a specific design system."""

    system_id: str
    method: str = "npm"  # npm, figma, css, manual
    source_url: Optional[str] = None
    options: Optional[Dict[str, Any]] = {}


@app.post("/api/ingest/parse")
async def parse_ingestion_prompt(request: IngestionRequest):
    """
    Parse a natural language ingestion prompt.

    Understands prompts like:
    - "add heroui"
    - "ingest material ui"
    - "import from figma.com/file/abc123"
    - "use shadcn for our design system"

    Returns parsed intent, detected design systems, and next steps.
    """
    try:
        from ingestion_parser import parse_and_suggest

        result = parse_and_suggest(request.prompt)

        ActivityLog.log(
            action="ingestion_prompt_parsed",
            entity_type="ingestion",
            project_id=request.project_id,
            details={
                "prompt": request.prompt[:100],
                "intent": result.get("intent"),
                "sources_found": len(result.get("sources", [])),
            },
        )

        return result

    except Exception as e:
        raise HTTPException(status_code=500, detail=f"Failed to parse prompt: {str(e)}")


@app.get("/api/ingest/systems")
async def list_known_systems(
    category: Optional[str] = None, framework: Optional[str] = None, search: Optional[str] = None
):
    """
    List known design systems from the registry.

    Query params:
    - category: Filter by category (component-library, css-framework, design-system, css-tokens)
    - framework: Filter by framework (react, vue, angular, html)
    - search: Search by name or alias
    """
    try:
        from design_system_registry import (
            get_all_systems,
            get_systems_by_category,
            get_systems_by_framework,
            search_design_systems,
        )

        if search:
            systems = search_design_systems(search, limit=20)
        elif category:
            systems = get_systems_by_category(category)
        elif framework:
            systems = get_systems_by_framework(framework)
        else:
            systems = get_all_systems()

        return {
            "systems": [s.to_dict() for s in systems],
            "count": len(systems),
            "filters": {"category": category, "framework": framework, "search": search},
        }

    except Exception as e:
        raise HTTPException(status_code=500, detail=str(e))


@app.get("/api/ingest/systems/{system_id}")
async def get_system_info(system_id: str):
    """Get detailed information about a specific design system."""
    try:
        from design_system_registry import find_design_system, get_alternative_ingestion_options

        system = find_design_system(system_id)

        if not system:
            raise HTTPException(status_code=404, detail=f"Design system not found: {system_id}")

        alternatives = get_alternative_ingestion_options(system)

        return {"system": system.to_dict(), "alternatives": alternatives}

    except HTTPException:
        raise
    except Exception as e:
        raise HTTPException(status_code=500, detail=str(e))


@app.get("/api/ingest/npm/search")
async def search_npm_packages(
    query: str, limit: int = Query(default=10, le=50), design_systems_only: bool = True
):
    """
    Search npm registry for design system packages.

    Filters results to likely design system packages by default.
    """
    try:
        from npm_search import search_npm

        results = await search_npm(query, limit=limit, design_systems_only=design_systems_only)

        return {
            "packages": [r.to_dict() for r in results],
            "count": len(results),
            "query": query,
            "design_systems_only": design_systems_only,
        }

    except Exception as e:
        raise HTTPException(status_code=500, detail=f"npm search failed: {str(e)}")


@app.get("/api/ingest/npm/package/{package_name:path}")
async def get_npm_package_info(package_name: str):
    """
    Get detailed information about an npm package.

    Package name can include scope (e.g., @heroui/react).
    """
    try:
        from npm_search import get_package_info

        info = await get_package_info(package_name)

        if not info:
            raise HTTPException(status_code=404, detail=f"Package not found: {package_name}")

        return info.to_dict()

    except HTTPException:
        raise
    except Exception as e:
        raise HTTPException(status_code=500, detail=str(e))


@app.post("/api/ingest/confirm")
async def confirm_ingestion(request: IngestionConfirmRequest):
    """
    Confirm and execute design system ingestion.

    After parsing a prompt and getting user confirmation,
    this endpoint performs the actual ingestion.

    Supports multiple methods:
    - npm: Install npm packages and extract tokens
    - figma: Extract tokens from Figma URL
    - css: Fetch and parse CSS file
    - manual: Process manual token definitions
    """
    try:
        from design_system_registry import find_design_system

        system = find_design_system(request.system_id)

        if not system:
            # Try to find via npm
            from npm_search import get_package_info

            npm_info = await get_package_info(request.system_id)

            if not npm_info:
                raise HTTPException(
                    status_code=404, detail=f"Design system not found: {request.system_id}"
                )

        # Execute ingestion based on method
        result = {
            "success": True,
            "system_id": request.system_id,
            "method": request.method,
            "status": "queued",
        }

        if request.method == "npm":
            # Queue npm package installation and token extraction
            packages = system.npm_packages if system else [request.system_id]
            result["packages"] = packages
            result["message"] = f"Will install: {', '.join(packages)}"
            result["next_steps"] = [
                "Install npm packages",
                "Extract design tokens",
                "Generate Storybook stories",
                "Update token configuration",
            ]

        elif request.method == "figma":
            if not request.source_url:
                raise HTTPException(status_code=400, detail="Figma URL required for figma method")
            result["figma_url"] = request.source_url
            result["message"] = "Will extract tokens from Figma"
            result["next_steps"] = [
                "Authenticate with Figma",
                "Extract design tokens",
                "Map to CSS variables",
                "Generate component stories",
            ]

        elif request.method == "css":
            if not request.source_url:
                # Use CDN URL if available
                if system and system.css_cdn_url:
                    request.source_url = system.css_cdn_url
                else:
                    raise HTTPException(status_code=400, detail="CSS URL required for css method")
            result["css_url"] = request.source_url
            result["message"] = "Will parse CSS for design tokens"
            result["next_steps"] = [
                "Fetch CSS file",
                "Parse CSS variables",
                "Extract color/spacing/typography tokens",
                "Create token collection",
            ]

        elif request.method == "manual":
            result["message"] = "Manual token entry mode"
            result["next_steps"] = [
                "Enter color tokens",
                "Enter typography tokens",
                "Enter spacing tokens",
                "Review and confirm",
            ]

        ActivityLog.log(
            action="ingestion_confirmed",
            entity_type="ingestion",
            entity_id=request.system_id,
            details={"method": request.method, "status": "queued"},
        )

        return result

    except HTTPException:
        raise
    except Exception as e:
        raise HTTPException(status_code=500, detail=str(e))


@app.post("/api/ingest/execute")
async def execute_ingestion(
    system_id: str,
    method: str = "npm",
    source_url: Optional[str] = None,
    project_id: Optional[str] = None,
):
    """
    Execute the actual ingestion process.

    This performs the heavy lifting:
    - For npm: Extracts tokens from installed packages
    - For figma: Calls Figma API to get design tokens
    - For css: Fetches and parses CSS variables
    """
    try:
        from design_system_registry import find_design_system

        system = find_design_system(system_id)
        tokens_extracted = 0

        if method == "npm" and system:
            # Import existing token ingestion tools
            sys.path.insert(0, str(Path(__file__).parent.parent.parent / "dss-mvp1"))

            try:
                from dss.ingest import TokenCollection

                # Create a token collection for this design system
                collection = TokenCollection(name=system.name)

                # Based on primary ingestion method, use appropriate source
                if system.primary_ingestion.value == "css_variables":
                    if system.css_cdn_url:
                        # Fetch CSS from CDN and parse
                        import httpx

                        async with httpx.AsyncClient() as client:
                            resp = await client.get(system.css_cdn_url)
                            if resp.status_code == 200:
                                from dss.ingest.css import CSSTokenSource

                                # Write temp file and parse
                                temp_css = Path("/tmp") / f"{system.id}_tokens.css"
                                temp_css.write_text(resp.text)
                                source = CSSTokenSource(str(temp_css))
                                source.parse()
                                collection.merge(source.tokens)
                                tokens_extracted = len(collection.tokens)

                elif system.primary_ingestion.value == "tailwind_config":
                    # For Tailwind-based systems, we'll need their config
                    tokens_extracted = 0  # Placeholder for Tailwind parsing

            except ImportError:
                # Token ingestion module not available
                pass
            finally:
                if str(Path(__file__).parent.parent.parent / "dss-mvp1") in sys.path:
                    sys.path.remove(str(Path(__file__).parent.parent.parent / "dss-mvp1"))

        elif method == "figma" and source_url:
            # Use existing Figma extraction
            result = await figma_suite.extract_variables(source_url.split("/")[-1], "css")
            tokens_extracted = result.get("tokens_count", 0)

        elif method == "css" and source_url:
            # Fetch and parse CSS
            import httpx

            sys.path.insert(0, str(Path(__file__).parent.parent.parent / "dss-mvp1"))

            try:
                async with httpx.AsyncClient() as client:
                    resp = await client.get(source_url)
                    if resp.status_code == 200:
                        from dss.ingest.css import CSSTokenSource

                        temp_css = Path("/tmp") / "ingested_tokens.css"
                        temp_css.write_text(resp.text)
                        source = CSSTokenSource(str(temp_css))
                        source.parse()
                        tokens_extracted = len(source.tokens.tokens)
            finally:
                if str(Path(__file__).parent.parent.parent / "dss-mvp1") in sys.path:
                    sys.path.remove(str(Path(__file__).parent.parent.parent / "dss-mvp1"))

        ActivityLog.log(
            action="ingestion_executed",
            entity_type="ingestion",
            entity_id=system_id,
            project_id=project_id,
            details={"method": method, "tokens_extracted": tokens_extracted},
        )

        return {
            "success": True,
            "system_id": system_id,
            "method": method,
            "tokens_extracted": tokens_extracted,
            "message": f"Extracted {tokens_extracted} tokens from {system.name if system else system_id}",
        }

    except Exception as e:
        ActivityLog.log(
            action="ingestion_failed",
            entity_type="ingestion",
            entity_id=system_id,
            details={"error": str(e)},
        )
        raise HTTPException(status_code=500, detail=str(e))


@app.get("/api/ingest/alternatives")
async def get_ingestion_alternatives(system_id: Optional[str] = None):
    """
    Get alternative ingestion methods.

    When the primary method fails or isn't available,
    suggests other ways to ingest the design system.
    """
    try:
        from design_system_registry import find_design_system, get_alternative_ingestion_options

        system = None
        if system_id:
            system = find_design_system(system_id)

        return get_alternative_ingestion_options(system)

    except Exception as e:
        raise HTTPException(status_code=500, detail=str(e))


# === DSS Mode ===


@app.get("/api/mode")
async def get_mode():
    """Get current DSS mode."""
    mode = runtime_config.get("mode")
    return {
        "mode": mode,
        "description": "Local dev companion" if mode == "local" else "Remote design system server",
        "features": runtime_config.get("features"),
    }


@app.put("/api/mode")
async def set_mode(request_data: Dict[str, Any]):
    """Set DSS mode (local or server)."""
    mode = request_data.get("mode")
    if not mode or mode not in ["local", "server"]:
        raise HTTPException(status_code=400, detail="Mode must be 'local' or 'server'")

    runtime_config.set("mode", mode)
    ActivityLog.log(action="mode_changed", entity_type="config", details={"mode": mode})

    return {"mode": mode, "success": True}


# === Run Server ===

# === Static Files (Admin UI) ===
# Mount at the end so API routes take precedence
# This enables portable mode: ./dss start serves everything on one port

# === System Administration ===


@app.post("/api/system/reset")
async def reset_dss(request_data: Dict[str, Any]):
    """
    Reset DSS to fresh state by calling the reset command in dss-mvp1.

    Requires confirmation.
    """
    confirm = request_data.get("confirm", "")

    if confirm != "RESET":
        raise HTTPException(status_code=400, detail="Must confirm with 'RESET'")

    try:
        # Path to dss-mvp1 directory
        dss_mvp1_path = Path(__file__).parent.parent.parent / "dss-mvp1"

        # Run the reset command
        result = subprocess.run(
            ["python3", "-m", "dss.settings", "reset", "--no-confirm"],
            cwd=str(dss_mvp1_path),
            capture_output=True,
            text=True,
            timeout=60,
        )

        if result.returncode != 0:
            raise Exception(f"Reset failed: {result.stderr}")

        ActivityLog.log(action="dss_reset", entity_type="system", details={"status": "success"})

        return {
            "success": True,
            "message": "DSS has been reset to fresh state",
            "output": result.stdout,
        }

    except subprocess.TimeoutExpired:
        raise HTTPException(status_code=504, detail="Reset operation timed out")
    except Exception as e:
        ActivityLog.log(action="dss_reset_failed", entity_type="system", details={"error": str(e)})
        raise HTTPException(status_code=500, detail=str(e))


# === Team Dashboards ===


@app.get("/api/projects/{project_id}/dashboard/summary")
async def get_dashboard_summary(project_id: str):
    """
    Get dashboard summary for all teams (thin slice).

    Provides overview of UX, UI, and QA metrics.
    """
    if not Projects.get(project_id):
        raise HTTPException(status_code=404, detail="Project not found")

    # UX Dashboard data
    figma_files = FigmaFiles.list(project_id)

    # UI Dashboard data
    drift_stats = TokenDriftDetector.get_stats(project_id)
    code_summary = CodeMetrics.get_project_summary(project_id)

    # QA Dashboard data
    esre_list = ESREDefinitions.list(project_id)
    test_summary = TestResults.get_project_summary(project_id)

    return {
        "project_id": project_id,
        "ux": {
            "figma_files_count": len(figma_files),
            "figma_files": figma_files[:5],  # Show first 5
        },
        "ui": {"token_drift": drift_stats, "code_metrics": code_summary},
        "qa": {"esre_count": len(esre_list), "test_summary": test_summary},
    }


# === UX Dashboard: Figma File Management ===


@app.get("/api/projects/{project_id}/figma-files")
async def list_figma_files(project_id: str):
    """List all Figma files for a project (UX Dashboard)."""
    if not Projects.get(project_id):
        raise HTTPException(status_code=404, detail="Project not found")
    return FigmaFiles.list(project_id)


@app.post("/api/projects/{project_id}/figma-files")
async def create_figma_file(project_id: str, figma_file: FigmaFileCreate):
    """Add a Figma file to a project (UX Dashboard)."""
    if not Projects.get(project_id):
        raise HTTPException(status_code=404, detail="Project not found")

    created = FigmaFiles.create(
        project_id=project_id,
        figma_url=figma_file.figma_url,
        file_name=figma_file.file_name,
        file_key=figma_file.file_key,
    )

    ActivityLog.log(
        action="figma_file_added",
        entity_type="figma_file",
        entity_id=str(created["id"]),
        entity_name=figma_file.file_name,
        project_id=project_id,
        team_context="ux",
        details={"file_key": figma_file.file_key},
    )

    return created


@app.put("/api/projects/{project_id}/figma-files/{file_id}/sync")
async def update_figma_file_sync(project_id: str, file_id: int, status: str = "synced"):
    """Update Figma file sync status (UX Dashboard)."""
    if not Projects.get(project_id):
        raise HTTPException(status_code=404, detail="Project not found")

    updated = FigmaFiles.update_sync_status(
        file_id=file_id, status=status, last_synced=datetime.utcnow().isoformat()
    )

    if not updated:
        raise HTTPException(status_code=404, detail="Figma file not found")

    ActivityLog.log(
        action="figma_file_synced",
        entity_type="figma_file",
        entity_id=str(file_id),
        project_id=project_id,
        team_context="ux",
    )

    return updated


@app.delete("/api/projects/{project_id}/figma-files/{file_id}")
async def delete_figma_file(project_id: str, file_id: int):
    """Delete a Figma file (UX Dashboard)."""
    if not Projects.get(project_id):
        raise HTTPException(status_code=404, detail="Project not found")

    if not FigmaFiles.delete(file_id):
        raise HTTPException(status_code=404, detail="Figma file not found")

    ActivityLog.log(
        action="figma_file_deleted",
        entity_type="figma_file",
        entity_id=str(file_id),
        project_id=project_id,
        team_context="ux",
    )

    return {"success": True}


# === UI Dashboard: Token Drift Detection ===


@app.get("/api/projects/{project_id}/token-drift")
async def list_token_drift(project_id: str, severity: Optional[str] = None):
    """List token drift issues for a project (UI Dashboard)."""
    if not Projects.get(project_id):
        raise HTTPException(status_code=404, detail="Project not found")

    drifts = TokenDriftDetector.list_by_project(project_id, severity)
    stats = TokenDriftDetector.get_stats(project_id)

    return {"drifts": drifts, "stats": stats}


@app.post("/api/projects/{project_id}/token-drift")
async def record_token_drift(project_id: str, drift: TokenDriftCreate):
    """Record a token drift issue (UI Dashboard)."""
    if not Projects.get(project_id):
        raise HTTPException(status_code=404, detail="Project not found")

    created = TokenDriftDetector.record_drift(
        component_id=drift.component_id,
        property_name=drift.property_name,
        hardcoded_value=drift.hardcoded_value,
        file_path=drift.file_path,
        line_number=drift.line_number,
        severity=drift.severity,
        suggested_token=drift.suggested_token,
    )

    ActivityLog.log(
        action="token_drift_detected",
        entity_type="token_drift",
        entity_id=str(created["id"]),
        project_id=project_id,
        team_context="ui",
        details={"severity": drift.severity, "component_id": drift.component_id},
    )

    return created


@app.put("/api/projects/{project_id}/token-drift/{drift_id}/status")
async def update_drift_status(project_id: str, drift_id: int, status: str):
    """Update token drift status: pending, fixed, ignored (UI Dashboard)."""
    if not Projects.get(project_id):
        raise HTTPException(status_code=404, detail="Project not found")

    if status not in ["pending", "fixed", "ignored"]:
        raise HTTPException(status_code=400, detail="Invalid status")

    updated = TokenDriftDetector.update_status(drift_id, status)

    if not updated:
        raise HTTPException(status_code=404, detail="Drift issue not found")

    ActivityLog.log(
        action="token_drift_status_updated",
        entity_type="token_drift",
        entity_id=str(drift_id),
        project_id=project_id,
        team_context="ui",
        details={"status": status},
    )

    return updated


# === QA Dashboard: ESRE Definitions ===


@app.get("/api/projects/{project_id}/esre")
async def list_esre_definitions(project_id: str):
    """List all ESRE definitions for a project (QA Dashboard)."""
    if not Projects.get(project_id):
        raise HTTPException(status_code=404, detail="Project not found")
    return ESREDefinitions.list(project_id)


@app.post("/api/projects/{project_id}/esre")
async def create_esre_definition(project_id: str, esre: ESRECreate):
    """Create a new ESRE definition (QA Dashboard)."""
    if not Projects.get(project_id):
        raise HTTPException(status_code=404, detail="Project not found")

    created = ESREDefinitions.create(
        project_id=project_id,
        name=esre.name,
        definition_text=esre.definition_text,
        expected_value=esre.expected_value,
        component_name=esre.component_name,
    )

    ActivityLog.log(
        action="esre_created",
        entity_type="esre",
        entity_id=str(created["id"]),
        entity_name=esre.name,
        project_id=project_id,
        team_context="qa",
    )

    return created


@app.put("/api/projects/{project_id}/esre/{esre_id}")
async def update_esre_definition(project_id: str, esre_id: int, updates: ESRECreate):
    """Update an ESRE definition (QA Dashboard)."""
    if not Projects.get(project_id):
        raise HTTPException(status_code=404, detail="Project not found")

    updated = ESREDefinitions.update(
        esre_id=esre_id,
        name=updates.name,
        definition_text=updates.definition_text,
        expected_value=updates.expected_value,
        component_name=updates.component_name,
    )

    if not updated:
        raise HTTPException(status_code=404, detail="ESRE definition not found")

    ActivityLog.log(
        action="esre_updated",
        entity_type="esre",
        entity_id=str(esre_id),
        entity_name=updates.name,
        project_id=project_id,
        team_context="qa",
    )

    return updated


@app.delete("/api/projects/{project_id}/esre/{esre_id}")
async def delete_esre_definition(project_id: str, esre_id: int):
    """Delete an ESRE definition (QA Dashboard)."""
    if not Projects.get(project_id):
        raise HTTPException(status_code=404, detail="Project not found")

    if not ESREDefinitions.delete(esre_id):
        raise HTTPException(status_code=404, detail="ESRE definition not found")

    ActivityLog.log(
        action="esre_deleted",
        entity_type="esre",
        entity_id=str(esre_id),
        project_id=project_id,
        team_context="qa",
    )

    return {"success": True}


# === Claude Chat API with MCP Tool Integration ===


class ClaudeChatRequest(BaseModel):
    """AI chat request model (supports Claude and Gemini)."""

    message: str
    context: Optional[Dict[str, Any]] = {}
    history: Optional[List[Dict[str, Any]]] = []
    project_id: Optional[str] = None
    user_id: Optional[int] = 1
    enable_tools: Optional[bool] = True
    model: Optional[str] = "claude"  # "claude" or "gemini"


@app.post("/api/claude/chat")
async def claude_chat(request_data: ClaudeChatRequest):
    """
    Chat with AI (Claude or Gemini) via their APIs with MCP tool integration.

    AI can execute DSS tools to:
    - Get project information
    - List/search components
    - Get design tokens
    - Interact with Figma, Jira, Confluence

    Requires ANTHROPIC_API_KEY (for Claude) or GOOGLE_API_KEY/GEMINI_API_KEY (for Gemini).
    """
    message = request_data.message
    context = request_data.context or {}
    history = request_data.history or []
    project_id = request_data.project_id or context.get("projectId")
    user_id = request_data.user_id or 1
    enable_tools = request_data.enable_tools
    model_name = request_data.model or "claude"

    # Log the chat request
    ActivityLog.log(
        action="ai_chat",
        entity_type="chat",
        entity_id=model_name,
        details={
            "message_length": len(message),
            "tools_enabled": enable_tools,
            "model": model_name,
        },
    )

    try:
        # Import AI provider
        from ai_providers import get_ai_provider

        # Get the appropriate provider
        provider = get_ai_provider(model_name)

        if not provider.is_available():
            return {
                "success": False,
                "response": f"{model_name.title()} is not available. Check API keys and SDK installation.",
                "model": "error",
            }

        # Import MCP handler (may fail if database not migrated)
        mcp_handler = None
        MCPContext = None
        try:
            from dss_mcp.handler import get_mcp_handler, MCPContext as _MCPContext
            MCPContext = _MCPContext
            mcp_handler = get_mcp_handler()
        except Exception as e:
            # MCP handler not available, proceed without tools
            enable_tools = False

        # Build system prompt with design system context
        system_prompt = """You are a design system assistant with access to DSS (Design System Server) tools.

You can use tools to:
- Get project summaries, health scores, and statistics
- List and search components in the design system
- Get design tokens (colors, typography, spacing)
- Interact with Figma to extract designs
- Create/search Jira issues for tracking
- Access Confluence documentation

RULES:
- Use tools when the user asks about project data, components, or tokens
- Be concise: 2-3 sentences for simple questions
- When showing tool results, summarize key information
- If a tool fails, explain what went wrong
- Always provide actionable insights from tool data"""

        # Add project context if available
        if project_id and mcp_handler:
            try:
                project_context = await mcp_handler.get_project_context(project_id, user_id)
                if project_context:
                    system_prompt += f"""

CURRENT PROJECT CONTEXT:
- Project: {project_context.name} (ID: {project_id})
- Components: {project_context.component_count}
- Health Score: {project_context.health.get('score', 'N/A')}/100 (Grade: {project_context.health.get('grade', 'N/A')})
- Integrations: {', '.join(project_context.integrations.keys()) if project_context.integrations else 'None configured'}"""
            except:
                system_prompt += f"\n\nProject ID: {project_id} (context not loaded)"
        elif project_id:
            system_prompt += f"\n\nProject ID: {project_id}"

        # Add user context
        if context:
            context_parts = []
            if "project" in context:
                context_parts.append(f"Project: {context['project']}")
            if "file" in context:
                context_parts.append(f"Current file: {context['file']}")
            if "component" in context:
                context_parts.append(f"Component: {context['component']}")
            if context_parts:
                system_prompt += "\n\nUser context:\n" + "\n".join(context_parts)

        # Get tools if enabled
        tools = None
        if enable_tools and project_id and mcp_handler:
            tools = mcp_handler.get_tools_for_claude()

        # Create MCP context (or None if MCP not available)
        mcp_context = None
        if MCPContext is not None:
            mcp_context = MCPContext(
                project_id=project_id,
                user_id=user_id
            )

        # Call AI provider with all context
        result = await provider.chat(
            message=message,
            system_prompt=system_prompt,
            history=history,
            tools=tools,
            temperature=0.7,
            mcp_handler=mcp_handler,
            mcp_context=mcp_context,
        )

        # Log tool usage
        if result.get("tools_used"):
            ActivityLog.log(
                action="ai_tools_used",
                entity_type="chat",
                entity_id=model_name,
                project_id=project_id,
                details={"tools": result["tools_used"], "model": model_name},
            )

        return result

    except Exception as e:
        error_msg = str(e)
        return {
            "success": False,
            "response": f"Error connecting to {model_name.title()}: {error_msg}\n\nMake sure your API key is valid and you have API access.",
            "model": "error",
        }


# === MCP Tools Proxy ===


@app.post("/api/mcp/{tool_name}")
async def execute_mcp_tool(tool_name: str, params: Dict[str, Any] = {}):
    """
    Proxy MCP tool execution.

    Calls the MCP server running on port 3457.
    """
    try:
        # Import MCP server functions
        from mcp_server import (
            analyze_react_components,
            analyze_style_values,
            build_source_graph,
            check_naming_consistency,
            create_project,
            discover_project,
            export_tokens,
            extract_components,
            extract_tokens,
            find_inline_styles,
            find_style_patterns,
            find_unused_styles,
            generate_component_code,
            generate_stories_batch,
            generate_story,
            generate_storybook_theme,
            get_activity,
            get_project,
            get_quick_wins,
            get_quick_wins_report,
            get_status,
            get_story_coverage,
            get_sync_history,
            ingest_css_tokens,
            ingest_json_tokens,
            ingest_scss_tokens,
            ingest_tailwind_tokens,
            list_projects,
            merge_tokens,
            scan_storybook,
            sync_tokens_to_file,
            validate_tokens,
        )

        # Map tool names to functions
        tool_map = {
            "get_status": get_status,
            "list_projects": list_projects,
            "create_project": create_project,
            "get_project": get_project,
            "extract_tokens": extract_tokens,
            "extract_components": extract_components,
            "generate_component_code": generate_component_code,
            "sync_tokens_to_file": sync_tokens_to_file,
            "get_sync_history": get_sync_history,
            "get_activity": get_activity,
            "ingest_css_tokens": ingest_css_tokens,
            "ingest_scss_tokens": ingest_scss_tokens,
            "ingest_tailwind_tokens": ingest_tailwind_tokens,
            "ingest_json_tokens": ingest_json_tokens,
            "merge_tokens": merge_tokens,
            "export_tokens": export_tokens,
            "validate_tokens": validate_tokens,
            "discover_project": discover_project,
            "analyze_react_components": analyze_react_components,
            "find_inline_styles": find_inline_styles,
            "find_style_patterns": find_style_patterns,
            "analyze_style_values": analyze_style_values,
            "find_unused_styles": find_unused_styles,
            "build_source_graph": build_source_graph,
            "get_quick_wins": get_quick_wins,
            "get_quick_wins_report": get_quick_wins_report,
            "check_naming_consistency": check_naming_consistency,
            "scan_storybook": scan_storybook,
            "generate_story": generate_story,
            "generate_stories_batch": generate_stories_batch,
            "generate_storybook_theme": generate_storybook_theme,
            "get_story_coverage": get_story_coverage,
        }

        # Get the tool function
        tool_func = tool_map.get(tool_name)
        if not tool_func:
            raise HTTPException(status_code=404, detail=f"Tool '{tool_name}' not found")

        # Execute tool
        result = await tool_func(**params)

        # Log execution
        ActivityLog.log(
            action="mcp_tool_executed",
            entity_type="tool",
            entity_id=tool_name,
            details={"params": list(params.keys())},
        )

        return JSONResponse(content={"success": True, "result": result})

    except Exception as e:
        ActivityLog.log(
            action="mcp_tool_failed",
            entity_type="tool",
            entity_id=tool_name,
            details={"error": str(e)},
        )
        raise HTTPException(status_code=500, detail=str(e))


# === MCP Integration Endpoints ===


class IntegrationCreate(BaseModel):
    """Create/Update integration configuration."""

    integration_type: str  # figma, jira, confluence, sequential-thinking
    config: Dict[str, Any]  # Encrypted in database
    enabled: bool = True


class IntegrationUpdate(BaseModel):
    """Update integration."""

    config: Optional[Dict[str, Any]] = None
    enabled: Optional[bool] = None


@app.get("/api/mcp/integrations")
async def list_all_integrations():
    """List all available integration types and their health status."""
    health_list = IntegrationHealth.list_all()

    if not health_list:
        # Return defaults if no health data exists
        return {
            "integrations": [
                {"integration_type": "figma", "is_healthy": True, "failure_count": 0},
                {"integration_type": "jira", "is_healthy": True, "failure_count": 0},
                {"integration_type": "confluence", "is_healthy": True, "failure_count": 0},
                {"integration_type": "sequential-thinking", "is_healthy": True, "failure_count": 0},
            ]
        }

    return {"integrations": health_list}


@app.get("/api/projects/{project_id}/integrations")
async def list_project_integrations(
    project_id: str, user_id: Optional[int] = Query(None, description="Filter by user ID")
):
    """List integrations configured for a project."""
    if not Projects.get(project_id):
        raise HTTPException(status_code=404, detail="Project not found")

    integrations = Integrations.list(project_id, user_id)
    return {"integrations": integrations}


@app.post("/api/projects/{project_id}/integrations")
async def create_integration(
    project_id: str,
    integration: IntegrationCreate,
    user_id: int = Query(..., description="User ID for user-scoped integration"),
):
    """Create or update integration for a project (user-scoped)."""
    if not Projects.get(project_id):
        raise HTTPException(status_code=404, detail="Project not found")

    from dss_mcp.config import mcp_config

    # Encrypt config
    config_json = json.dumps(integration.config)
    cipher = mcp_config.get_cipher()
    if cipher:
        encrypted_config = cipher.encrypt(config_json.encode()).decode()
    else:
        encrypted_config = config_json  # Store unencrypted if no key

    try:
        Integrations.upsert(
            project_id=project_id,
            user_id=user_id,
            integration_type=integration.integration_type,
            config=encrypted_config,
            enabled=integration.enabled,
        )

        ActivityLog.log(
            action="integration_configured",
            entity_type="integration",
            entity_id=integration.integration_type,
            project_id=project_id,
            details={"user_id": user_id, "enabled": integration.enabled},
        )

        return {
            "success": True,
            "integration_type": integration.integration_type,
            "enabled": integration.enabled,
        }
    except Exception as e:
        raise HTTPException(status_code=500, detail=str(e))


@app.put("/api/projects/{project_id}/integrations/{integration_type}")
async def update_integration(
    project_id: str,
    integration_type: str,
    update: IntegrationUpdate,
    user_id: int = Query(..., description="User ID"),
):
    """Update an existing integration."""
    if not Projects.get(project_id):
        raise HTTPException(status_code=404, detail="Project not found")

    from dss_mcp.config import mcp_config

    try:
        encrypted_config = None
        if update.config is not None:
            config_json = json.dumps(update.config)
            cipher = mcp_config.get_cipher()
            if cipher:
                encrypted_config = cipher.encrypt(config_json.encode()).decode()
            else:
                encrypted_config = config_json

        if update.config is None and update.enabled is None:
            return {"success": False, "message": "No updates provided"}

        result = Integrations.update(
            project_id=project_id,
            user_id=user_id,
            integration_type=integration_type,
            config=encrypted_config,
            enabled=update.enabled,
        )

        if not result:
            raise HTTPException(status_code=404, detail="Integration not found")

        return {"success": True, "integration_type": integration_type}
    except HTTPException:
        raise
    except Exception as e:
        raise HTTPException(status_code=500, detail=str(e))


@app.delete("/api/projects/{project_id}/integrations/{integration_type}")
async def delete_integration(
    project_id: str, integration_type: str, user_id: int = Query(..., description="User ID")
):
    """Delete an integration configuration."""
    if not Projects.get(project_id):
        raise HTTPException(status_code=404, detail="Project not found")

    try:
        deleted = Integrations.delete(project_id, user_id, integration_type)

        if not deleted:
            raise HTTPException(status_code=404, detail="Integration not found")

        ActivityLog.log(
            action="integration_deleted",
            entity_type="integration",
            entity_id=integration_type,
            project_id=project_id,
            details={"user_id": user_id},
        )

        return {"success": True}
    except HTTPException:
        raise
    except Exception as e:
        raise HTTPException(status_code=500, detail=str(e))


@app.get("/api/mcp/tools")
async def list_mcp_tools(
    include_details: bool = Query(False, description="Include full tool schemas"),
):
    """List all available MCP tools via unified handler."""
    from dss_mcp.handler import get_mcp_handler

    handler = get_mcp_handler()
    return handler.list_tools(include_details=include_details)


@app.get("/api/mcp/tools/{tool_name}")
async def get_mcp_tool_info(tool_name: str):
    """Get detailed information about a specific MCP tool."""
    from dss_mcp.handler import get_mcp_handler

    handler = get_mcp_handler()
    info = handler.get_tool_info(tool_name)

    if not info:
        raise HTTPException(status_code=404, detail=f"Tool not found: {tool_name}")

    return info


class MCPToolExecuteRequest(BaseModel):
    """Request to execute an MCP tool."""

    arguments: Dict[str, Any]
    project_id: str
    user_id: Optional[int] = 1


@app.post("/api/mcp/tools/{tool_name}/execute")
async def execute_mcp_tool(tool_name: str, request: MCPToolExecuteRequest):
    """
    Execute an MCP tool via unified handler.

    All tool executions go through the central MCPHandler which:
    - Validates tool existence
    - Checks integration configurations
    - Applies circuit breaker protection
    - Logs execution metrics
    """
    from dss_mcp.handler import MCPContext, get_mcp_handler

    handler = get_mcp_handler()

    # Create execution context
    context = MCPContext(project_id=request.project_id, user_id=request.user_id)

    # Execute tool
    result = await handler.execute_tool(
        tool_name=tool_name, arguments=request.arguments, context=context
    )

    # Log to activity
    ActivityLog.log(
        action="mcp_tool_executed",
        entity_type="tool",
        entity_id=tool_name,
        project_id=request.project_id,
        details={
            "success": result.success,
            "duration_ms": result.duration_ms,
            "error": result.error,
        },
    )

    return result.to_dict()


@app.get("/api/mcp/status")
async def get_mcp_status():
    """Get MCP server status and configuration."""
    from dss_mcp.config import integration_config, mcp_config, validate_config

    warnings = validate_config()

    return {
        "server": {
            "host": mcp_config.HOST,
            "port": mcp_config.PORT,
            "encryption_enabled": bool(mcp_config.ENCRYPTION_KEY),
            "context_cache_ttl": mcp_config.CONTEXT_CACHE_TTL,
        },
        "integrations": {
            "figma": bool(integration_config.FIGMA_TOKEN),
            "anthropic": bool(integration_config.ANTHROPIC_API_KEY),
            "jira_default": bool(integration_config.JIRA_URL),
            "confluence_default": bool(integration_config.CONFLUENCE_URL),
        },
        "circuit_breaker": {
            "failure_threshold": mcp_config.CIRCUIT_BREAKER_FAILURE_THRESHOLD,
            "timeout_seconds": mcp_config.CIRCUIT_BREAKER_TIMEOUT_SECONDS,
        },
        "warnings": warnings,
    }


# === MVP1: Project Configuration & Sandboxed File System ===


@app.get("/api/projects/{project_id}/config")
async def get_project_config(project_id: str):
    """Get project configuration from .dss/config.json."""
    project = project_manager.get_project(project_id)
    if not project:
        raise HTTPException(status_code=404, detail="Project not found")

    root_path = project.get("root_path")
    if not root_path:
        raise HTTPException(status_code=400, detail="Project has no root_path configured")

    config = config_service.get_config(root_path)
    return config.dict()


@app.put("/api/projects/{project_id}/config")
async def update_project_config(project_id: str, updates: Dict[str, Any]):
    """Update project configuration."""
    project = project_manager.get_project(project_id)
    if not project:
        raise HTTPException(status_code=404, detail="Project not found")

    root_path = project.get("root_path")
    if not root_path:
        raise HTTPException(status_code=400, detail="Project has no root_path configured")

    config = config_service.update_config(root_path, updates)
    return config.dict()


@app.get("/api/projects/{project_id}/context")
async def get_project_context(project_id: str):
    """
    Get full project context for AI injection.

    Returns project info, config, file tree, and context file contents.
    """
    project = project_manager.get_project(project_id)
    if not project:
        raise HTTPException(status_code=404, detail="Project not found")

    root_path = project.get("root_path")
    if not root_path:
        raise HTTPException(status_code=400, detail="Project has no root_path configured")

    # Get config and sandboxed FS
    config = config_service.get_config(root_path)
    fs = SandboxedFS(root_path)

    # Load context files specified in config
    context_files = {}
    for file_path in config.ai.context_files:
        try:
            if fs.file_exists(file_path):
                content = fs.read_file(file_path, max_size_kb=config.ai.max_file_size_kb)
                context_files[file_path] = content[:2000]  # Truncate for context
        except Exception:
            pass

    return {
        "project": {"id": project["id"], "name": project["name"], "root_path": root_path},
        "config": config.dict(),
        "file_tree": fs.get_file_tree(max_depth=2),
        "context_files": context_files,
    }


@app.get("/api/projects/{project_id}/files")
async def list_project_files(project_id: str, path: str = "."):
    """List files in project directory (sandboxed)."""
    project = project_manager.get_project(project_id)
    if not project:
        raise HTTPException(status_code=404, detail="Project not found")

    root_path = project.get("root_path")
    if not root_path:
        raise HTTPException(status_code=400, detail="Project has no root_path configured")

    try:
        fs = SandboxedFS(root_path)
        return fs.list_directory(path)
    except PermissionError as e:
        raise HTTPException(status_code=403, detail=str(e))
    except NotADirectoryError as e:
        raise HTTPException(status_code=400, detail=str(e))


@app.get("/api/projects/{project_id}/files/tree")
async def get_project_file_tree(project_id: str, max_depth: int = 3):
    """Get project file tree (sandboxed)."""
    project = project_manager.get_project(project_id)
    if not project:
        raise HTTPException(status_code=404, detail="Project not found")

    root_path = project.get("root_path")
    if not root_path:
        raise HTTPException(status_code=400, detail="Project has no root_path configured")

    fs = SandboxedFS(root_path)
    return fs.get_file_tree(max_depth=min(max_depth, 5))  # Cap at 5 levels


@app.get("/api/projects/{project_id}/files/read")
async def read_project_file(project_id: str, path: str):
    """Read file content from project (sandboxed)."""
    project = project_manager.get_project(project_id)
    if not project:
        raise HTTPException(status_code=404, detail="Project not found")

    root_path = project.get("root_path")
    if not root_path:
        raise HTTPException(status_code=400, detail="Project has no root_path configured")

    try:
        fs = SandboxedFS(root_path)
        content = fs.read_file(path)
        return {"path": path, "content": content}
    except PermissionError as e:
        raise HTTPException(status_code=403, detail=str(e))
    except FileNotFoundError as e:
        raise HTTPException(status_code=404, detail=str(e))
    except ValueError as e:
        raise HTTPException(status_code=400, detail=str(e))


class FileWriteRequest(BaseModel):
    path: str
    content: str


@app.post("/api/projects/{project_id}/files/write")
async def write_project_file(project_id: str, request: FileWriteRequest):
    """Write file content to project (sandboxed)."""
    project = project_manager.get_project(project_id)
    if not project:
        raise HTTPException(status_code=404, detail="Project not found")

    root_path = project.get("root_path")
    if not root_path:
        raise HTTPException(status_code=400, detail="Project has no root_path configured")

    # Check if AI write operations are allowed
    config = config_service.get_config(root_path)
    if "write" not in config.ai.allowed_operations:
        raise HTTPException(status_code=403, detail="Write operations not allowed for this project")

    try:
        fs = SandboxedFS(root_path)
        fs.write_file(request.path, request.content)
        ActivityLog.log(
            action="file_written",
            entity_type="file",
            entity_id=request.path,
            project_id=project_id,
            details={"path": request.path, "size": len(request.content)},
        )
        return {"status": "ok", "path": request.path}
    except PermissionError as e:
        raise HTTPException(status_code=403, detail=str(e))


UI_DIR = Path(__file__).parent.parent.parent / "admin-ui"
if UI_DIR.exists():
    app.mount("/", StaticFiles(directory=str(UI_DIR), html=True), name="ui")


def kill_port(port: int, wait: float = 0.5) -> None:
    """Kill any process using the specified port."""
    import subprocess
    import time

    try:
        # Get PIDs using the port
        result = subprocess.run(["lsof", "-ti", f":{port}"], capture_output=True, text=True)
        pids = result.stdout.strip().split("\n")
        killed = False
        for pid in pids:
            if pid:
                subprocess.run(["kill", "-9", pid], capture_output=True)
                print(f"[DSS] Killed process {pid} on port {port}")
                killed = True
        if killed and wait:
            time.sleep(wait)  # Wait for port to be released
    except Exception:
        pass  # Port was free


if __name__ == "__main__":
    import uvicorn

    # DSS Ports: API=6220, Admin=6221, MCP=6222, Storybook=6226
    port = int(os.getenv("DSS_API_PORT", "6220"))
    host = os.getenv("HOST", "0.0.0.0")

    # Kill any existing process on the port (twice to handle respawning)
    kill_port(port, wait=1.0)
    kill_port(port, wait=0.5)

    url = f"http://{host}:{port}"
    print(
        f"""
╔═══════════════════════════════════════════════════════════════╗
║  Design System Server (DSS) - Portable Server                 ║
╠═══════════════════════════════════════════════════════════════╣
║  Dashboard:   {url + '/':^47}║
║  API:         {url + '/api':^47}║
║  Docs:        {url + '/docs':^47}║
║  Environment: {config.server.env:^47}║
║  Figma Mode:  {figma_suite.mode:^47}║
╚═══════════════════════════════════════════════════════════════╝
"""
    )

    uvicorn.run("server:app", host=host, port=port, reload=config.server.env == "development")