"""
CRM MCP Server - Local MCP server with mocked CRM data.
Provides tools for customer, deal, and document management.
"""

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

from fastapi import FastAPI, HTTPException
from fastapi.middleware.cors import CORSMiddleware
from pydantic import BaseModel

# Configure logging
logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(__name__)

# Initialize FastAPI app
app = FastAPI(title="CRM MCP Server", version="1.0.0")

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

# Data directory path
DATA_DIR = Path(__file__).parent / "data"
ACCESS_FILE = DATA_DIR / "access.json"


class ToolCallRequest(BaseModel):
    name: str
    arguments: Dict[str, Any] = {}


class ToolResponse(BaseModel):
    success: bool
    result: Any = None
    error: str = None


# ============================================
# Data Loading Functions
# ============================================

def load_customers() -> Dict:
    """Load customers from JSON file."""
    customers_file = DATA_DIR / "customers.json"
    if customers_file.exists():
        with open(customers_file, "r") as f:
            return json.load(f)
    return {"customers": []}


def load_deals() -> Dict:
    """Load deals from JSON file."""
    deals_file = DATA_DIR / "deals.json"
    if deals_file.exists():
        with open(deals_file, "r") as f:
            return json.load(f)
    return {"deals": [], "pipeline_summary": {}}


def load_documents() -> List[Dict]:
    """Load list of available documents."""
    docs_dir = DATA_DIR / "documents"
    documents = []
    if docs_dir.exists():
        for doc_path in docs_dir.glob("*"):
            if doc_path.is_file():
                stat = doc_path.stat()
                documents.append({
                    "name": doc_path.name,
                    #"path": str(doc_path),
                    "size_bytes": stat.st_size,
                    "modified_at": datetime.fromtimestamp(stat.st_mtime).isoformat(),
                    "type": doc_path.suffix.lstrip(".")
                })
    return documents

def load_access_data() -> Dict[str, Any]:
    if ACCESS_FILE.exists():
        with open(ACCESS_FILE, "r", encoding="utf-8") as f:
            return json.load(f)
    return {"access": []}


def save_access_data(data: Dict[str, Any]) -> None:
    ACCESS_FILE.parent.mkdir(parents=True, exist_ok=True)
    with open(ACCESS_FILE, "w", encoding="utf-8") as f:
        json.dump(data, f, indent=2)


# ============================================
# Tool Implementations
# ============================================

def get_customers(
    status: Optional[str] = None,
    industry: Optional[str] = None,
    limit: int = 50
) -> Dict:
    """Get list of customers with optional filtering."""
    data = load_customers()
    customers = data.get("customers", [])
    
    # Apply filters
    if status:
        customers = [c for c in customers if c.get("status", "").lower() == status.lower()]
    if industry:
        customers = [c for c in customers if industry.lower() in c.get("industry", "").lower()]
    
    # Apply limit
    customers = customers[:limit]
    
    return {
        "total": len(customers),
        "customers": customers
    }


def get_customer(customer_id: str) -> Dict:
    """Get a specific customer by ID."""
    data = load_customers()
    for customer in data.get("customers", []):
        if customer.get("id") == customer_id:
            # Also get related deals
            deals_data = load_deals()
            related_deals = [
                d for d in deals_data.get("deals", [])
                if d.get("customer_id") == customer_id
            ]
            customer["related_deals"] = related_deals
            customer.pop("tags")
            return customer
    return {"error": f"Customer {customer_id} not found"}


def get_deals(
    stage: Optional[str] = None,
    customer_id: Optional[str] = None,
    owner: Optional[str] = None,
    min_value: Optional[float] = None,
    limit: int = 50
) -> Dict:
    """Get list of deals with optional filtering."""
    data = load_deals()
    deals = data.get("deals", [])
    
    # Apply filters
    if stage:
        deals = [d for d in deals if d.get("stage", "").lower() == stage.lower()]
    if customer_id:
        deals = [d for d in deals if d.get("customer_id") == customer_id]
    if owner:
        deals = [d for d in deals if owner.lower() in d.get("owner", "").lower()]
    if min_value is not None:
        deals = [d for d in deals if d.get("value", 0) >= min_value]
    
    # Apply limit
    deals = deals[:limit]
    
    return {
        "total": len(deals),
        "deals": deals,
        "pipeline_summary": data.get("pipeline_summary", {})
    }


def get_deal(deal_id: str) -> Dict:
    """Get a specific deal by ID."""
    data = load_deals()
    for deal in data.get("deals", []):
        if deal.get("id") == deal_id:
            return deal
    return {"error": f"Deal {deal_id} not found"}


def get_pipeline_summary() -> Dict:
    """Get sales pipeline summary."""
    data = load_deals()
    deals = data.get("deals", [])
    
    # Calculate fresh summary
    open_deals = [d for d in deals if d.get("stage") not in ["closed_won", "closed_lost"]]
    
    summary = {
        "total_deals": len(deals),
        "open_deals": len(open_deals),
        "total_pipeline_value": sum(d.get("value", 0) for d in open_deals),
        "weighted_value": sum(
            d.get("value", 0) * d.get("probability", 0) / 100 
            for d in open_deals
        ),
        "by_stage": {},
        "by_owner": {},
        "expected_closes_this_month": []
    }
    
    # Group by stage
    for deal in deals:
        stage = deal.get("stage", "unknown")
        if stage not in summary["by_stage"]:
            summary["by_stage"][stage] = {"count": 0, "value": 0}
        summary["by_stage"][stage]["count"] += 1
        summary["by_stage"][stage]["value"] += deal.get("value", 0)
    
    # Group by owner
    for deal in open_deals:
        owner = deal.get("owner", "Unassigned")
        if owner not in summary["by_owner"]:
            summary["by_owner"][owner] = {"count": 0, "value": 0}
        summary["by_owner"][owner]["count"] += 1
        summary["by_owner"][owner]["value"] += deal.get("value", 0)
    
    # Deals expected to close this month
    current_month = datetime.now().strftime("%Y-%m")
    for deal in open_deals:
        close_date = deal.get("expected_close", "")
        if close_date.startswith(current_month):
            summary["expected_closes_this_month"].append({
                "id": deal.get("id"),
                "title": deal.get("title"),
                "value": deal.get("value"),
                "probability": deal.get("probability")
            })
    
    return summary


def get_documents() -> Dict:
    """Get list of available documents."""
    documents = load_documents()
    return {
        "total": len(documents),
        "documents": documents,
        "instructions": "Utilize the exact file name as param for the read_document tool"
    }


def read_document(name: str) -> Dict:
    """Read content of a specific document."""
    docs_dir = DATA_DIR / "documents"
    doc_path = docs_dir / name
    
    if not doc_path.exists():
        # Try to find partial match
        for doc in docs_dir.glob("*"):
            if name.lower() in doc.name.lower():
                doc_path = doc
                break
    
    if not doc_path.exists():
        return {"error": f"Document '{name}' not found"}
    
    try:
        with open(doc_path, "r", encoding="utf-8") as f:
            content = f.read()
        return {
            "name": doc_path.name,
            "content": content,
            "size_bytes": len(content),
            "type": doc_path.suffix.lstrip(".")
        }
    except Exception as e:
        return {"error": f"Failed to read document: {str(e)}"}


def search_documents(query: str) -> Dict:
    """Search documents by content."""
    docs_dir = DATA_DIR / "documents"
    query_lower = query.lower()
    
    matches = []
    if docs_dir.exists():
        for doc_path in docs_dir.glob("*"):
            if doc_path.is_file():
                try:
                    with open(doc_path, "r", encoding="utf-8") as f:
                        content = f.read()
                    
                    if query_lower in content.lower() or query_lower in doc_path.name.lower():
                        # Find relevant excerpts
                        lines = content.split("\n")
                        relevant_lines = [
                            line.strip() for line in lines 
                            if query_lower in line.lower()
                        ][:3]  # Max 3 relevant lines
                        
                        matches.append({
                            "name": doc_path.name,
                            "type": doc_path.suffix.lstrip("."),
                            "relevant_excerpts": relevant_lines
                        })
                except Exception:
                    continue
    
    return {
        "query": query,
        "total_matches": len(matches),
        "documents": matches
    }


def get_access(customer_name: str) -> Dict[str, Any]:
    """Look up whether access is enabled for the given customer."""
    data = load_access_data()
    name_lower = customer_name.lower()

    for entry in data.get("access", []):
        if entry.get("customer_name", "").lower() == name_lower:
            return entry

    return {"customer_name": customer_name, "enabled": False}


def set_access(customer_name: str) -> Dict[str, Any]:
    """Set access enabled = true for the given customer."""
    data = load_access_data()
    name_lower = customer_name.lower()

    found = None
    for entry in data.get("access", []):
        if entry.get("customer_name", "").lower() == name_lower:
            entry["enabled"] = True
            found = entry
            break

    if not found:
        found = {"customer_name": customer_name, "enabled": True}
        data.setdefault("access", []).append(found)

    save_access_data(data)
    return found



# ============================================
# Tool Registry
# ============================================

TOOLS = {
    "get_customers": {
        "description": "Get list of customers. Optionally filter by status (active/inactive/prospect) or industry.",
        "function": get_customers,
        "inputSchema": {
            "type": "object",
            "properties": {
                "status": {"type": "string", "description": "Filter by status: active, inactive, or prospect"},
                "industry": {"type": "string", "description": "Filter by industry"},
                "limit": {"type": "integer", "description": "Maximum number of results", "default": 50}
            }
        }
    },
    "get_customer": {
        "description": "Get detailed information about a specific customer by name.",
        "function": get_customer,
        "inputSchema": {
            "type": "object",
            "properties": {
                "customer_id": {"type": "string", "description": "Customer ID (e.g., Walnut)"}
            },
            "required": ["customer_id"]
        }
    },
    "get_deals": {
        "description": "Get list of deals/opportunities. Optionally filter by stage, customer, owner, or minimum value.",
        "function": get_deals,
        "inputSchema": {
            "type": "object",
            "properties": {
                "stage": {"type": "string", "description": "Filter by stage: qualification, demo, proposal, negotiation, closed_won, closed_lost"},
                "customer_id": {"type": "string", "description": "Filter by customer ID"},
                "owner": {"type": "string", "description": "Filter by deal owner name"},
                "min_value": {"type": "number", "description": "Minimum deal value"},
                "limit": {"type": "integer", "description": "Maximum number of results", "default": 50}
            }
        }
    },
    "get_deal": {
        "description": "Get detailed information about a specific deal by ID.",
        "function": get_deal,
        "inputSchema": {
            "type": "object",
            "properties": {
                "deal_id": {"type": "string", "description": "Deal ID (e.g., DEAL-001)"}
            },
            "required": ["deal_id"]
        }
    },
    "get_pipeline_summary": {
        "description": "Get sales pipeline summary including totals by stage and owner.",
        "function": get_pipeline_summary,
        "inputSchema": {
            "type": "object",
            "properties": {}
        }
    },
    "get_documents": {
        "description": "Get list of available CRM documents related to the company at hand.",
        "function": get_documents,
        "inputSchema": {
            "type": "object",
            "properties": {}
        }
    },
    "read_document": {
        "description": "Read the content of a specific document by name.",
        "function": read_document,
        "inputSchema": {
            "type": "object",
            "properties": {
                "name": {"type": "string", "description": "Document name or partial name"}
            },
            "required": ["name"]
        }
    },
    "search_documents": {
        "description": "Search documents by content or title.",
        "function": search_documents,
        "inputSchema": {
            "type": "object",
            "properties": {
                "query": {"type": "string", "description": "Search query"}
            },
            "required": ["query"]
        }
    },
        "get_access": {
        "description": "Check whether endpoint access is enabled for a given customer.",
        "function": get_access,
        "inputSchema": {
            "type": "object",
            "properties": {
                "customer_name": {
                    "type": "string",
                    "description": "Customer company name"
                }
            },
            "required": ["customer_name"]
        }
    },
    "set_access": {
        "description": "Enable endpoint access for a given customer (sets enabled=true in access.json).",
        "function": set_access,
        "inputSchema": {
            "type": "object",
            "properties": {
                "customer_name": {
                    "type": "string",
                    "description": "Customer company name"
                }
            },
            "required": ["customer_name"]
        }
    }
}


# ============================================
# API Endpoints
# ============================================

@app.get("/")
async def root():
    """Health check endpoint."""
    return {"status": "ok", "service": "CRM MCP Server", "version": "1.0.0"}


@app.get("/tools")
async def list_tools():
    """List all available tools."""
    tools_list = []
    for name, config in TOOLS.items():
        tools_list.append({
            "name": name,
            "description": config["description"],
            "inputSchema": config["inputSchema"]
        })
    return {"tools": tools_list}


@app.post("/tools/call")
async def call_tool(request: ToolCallRequest):
    """Execute a tool by name with arguments."""
    tool_name = request.name
    arguments = request.arguments
    
    if tool_name not in TOOLS:
        return ToolResponse(
            success=False,
            error=f"Unknown tool: {tool_name}"
        )
    
    try:
        tool_func = TOOLS[tool_name]["function"]
        result = tool_func(**arguments)
        return ToolResponse(success=True, result=result)
    except Exception as e:
        logger.error(f"Tool execution error: {e}")
        return ToolResponse(success=False, error=str(e))


# ============================================
# Main Entry Point
# ============================================

if __name__ == "__main__":
    import uvicorn
    
    # Ensure data directory exists
    DATA_DIR.mkdir(parents=True, exist_ok=True)
    (DATA_DIR / "documents").mkdir(exist_ok=True)
    
    logger.info(f"Starting CRM MCP Server...")
    logger.info(f"Data directory: {DATA_DIR}")
    
    uvicorn.run(app, host="0.0.0.0", port=8000)