import os
import json
import sqlite3

from mcp.server.fastmcp import FastMCP
from connectors.hubspot_connector import query_hubspot

mcp = FastMCP("EnterpriseData")

# ─── 1) In-memory SQLite sample ─────────────────────────────────────────────
conn = sqlite3.connect(":memory:", check_same_thread=False)
cur  = conn.cursor()
cur.execute("""
CREATE TABLE Customers (
    CustomerID      INTEGER PRIMARY KEY AUTOINCREMENT,
    Name            TEXT,
    Region          TEXT,
    LastOrderDate   TEXT
)
""")
cur.executemany(
    "INSERT INTO Customers (Name, Region, LastOrderDate) VALUES (?,?,?)",
    [
        ("Acme Corp",  "Northeast", "2024-12-01"),
        ("Beta Inc",   "West",      "2025-06-01"),
        ("Gamma Co",   "Northeast", "2023-09-15"),
        ("Delta LLC",  "South",     "2025-03-20"),
        ("Epsilon Ltd","Northeast", "2025-07-10"),
    ],
)
conn.commit()

@mcp.tool()
def query_database(sql: str) -> str:
    """Run SQL against the in-memory Customers table and return JSON rows."""
    try:
        cur.execute(sql)
        cols = [d[0] for d in cur.description or []]
        rows = [dict(zip(cols, r)) for r in cur.fetchall()]
        return json.dumps(rows)
    except Exception as e:
        return json.dumps({"error": str(e)})

# ─── 2) HubSpot tool ────────────────────────────────────────────────────────
@mcp.tool()
def hubspot_data(object_type: str, limit: int = 100) -> str:
    """
    Fetch up to `limit` objects of type `contacts`, `companies`, or `deals`.
    Example: object_type="contacts"
    """
    return query_hubspot(object_type, limit)

# ─── 3) Start the MCP server ───────────────────────────────────────────────
if __name__ == "__main__":
    mcp.run(transport="stdio")