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fotkyBuzalkovi/mcp_server.py
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administrator 29037554b8 notebookVb
2026-05-29 06:01:55 +02:00

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8.2 KiB
Python

#!/usr/bin/env python3
"""
FotkyBuzalkovi MCP Server
Poskytuje nástroje pro dotazování PostgreSQL databáze fotky_buzalkovi.
"""
import json
import os
import sys
from pathlib import Path
import psycopg2
import psycopg2.extras
from dotenv import load_dotenv
from mcp.server import Server
from mcp.server.stdio import stdio_server
from mcp.types import Tool, TextContent
# Načtení .env ze stejného adresáře jako tento skript
load_dotenv(Path(__file__).parent / ".env")
DB_CONFIG = {
"host": os.getenv("DB_HOST", "192.168.1.76"),
"port": int(os.getenv("DB_PORT", 5432)),
"user": os.getenv("DB_USER", "vladimir.buzalka"),
"password": os.getenv("DB_PASSWORD", ""),
"dbname": os.getenv("DB_NAME", "fotky_buzalkovi"),
}
def get_conn():
return psycopg2.connect(**DB_CONFIG)
def run_query(sql: str, params=None, limit: int = 500):
"""Spustí SELECT dotaz a vrátí výsledek jako seznam diktů."""
with get_conn() as conn:
with conn.cursor(cursor_factory=psycopg2.extras.RealDictCursor) as cur:
cur.execute(sql, params)
rows = cur.fetchmany(limit)
return [dict(r) for r in rows], cur.description
# ---------------------------------------------------------------------------
# Server
# ---------------------------------------------------------------------------
server = Server("fotky-buzalkovi")
@server.list_tools()
async def list_tools() -> list[Tool]:
return [
Tool(
name="query",
description=(
"Spustí libovolný SELECT dotaz na databázi fotky_buzalkovi. "
"Vrátí max. 500 řádků. Používej pro průzkum dat."
),
inputSchema={
"type": "object",
"properties": {
"sql": {
"type": "string",
"description": "SELECT dotaz (jen čtení, INSERT/UPDATE/DELETE nejsou povoleny)",
},
"limit": {
"type": "integer",
"description": "Max. počet vrácených řádků (default 100, max 500)",
"default": 100,
},
},
"required": ["sql"],
},
),
Tool(
name="tables",
description="Vrátí seznam všech tabulek v databázi s počty řádků.",
inputSchema={"type": "object", "properties": {}},
),
Tool(
name="describe_table",
description="Vrátí strukturu tabulky — sloupce, typy, nullable, default.",
inputSchema={
"type": "object",
"properties": {
"table": {"type": "string", "description": "Název tabulky"},
},
"required": ["table"],
},
),
Tool(
name="stats",
description=(
"Základní statistiky projektu: počty fotek, stav importu, "
"přehled kamer, roky pořízení, chybějící data."
),
inputSchema={"type": "object", "properties": {}},
),
]
@server.call_tool()
async def call_tool(name: str, arguments: dict):
# Ochrana — jen SELECT
def check_readonly(sql: str):
normalized = sql.strip().upper()
for bad in ("INSERT", "UPDATE", "DELETE", "DROP", "TRUNCATE", "ALTER", "CREATE"):
if normalized.startswith(bad) or f"\n{bad}" in normalized:
raise ValueError(f"Pouze SELECT dotazy jsou povoleny. Nalezeno: {bad}")
try:
if name == "query":
sql = arguments["sql"]
check_readonly(sql)
limit = min(int(arguments.get("limit", 100)), 500)
rows, desc = run_query(sql, limit=limit)
result = json.dumps(rows, ensure_ascii=False, default=str, indent=2)
return [TextContent(type="text", text=result)]
elif name == "tables":
sql = """
SELECT
t.table_name,
c.reltuples::bigint AS est_rows
FROM information_schema.tables t
JOIN pg_class c ON c.relname = t.table_name
WHERE t.table_schema = 'public'
AND t.table_type = 'BASE TABLE'
ORDER BY t.table_name
"""
rows, _ = run_query(sql, limit=100)
return [TextContent(type="text", text=json.dumps(rows, ensure_ascii=False, default=str, indent=2))]
elif name == "describe_table":
table = arguments["table"]
sql = """
SELECT
column_name,
data_type,
character_maximum_length,
is_nullable,
column_default
FROM information_schema.columns
WHERE table_schema = 'public'
AND table_name = %s
ORDER BY ordinal_position
"""
rows, _ = run_query(sql, params=(table,), limit=200)
if not rows:
return [TextContent(type="text", text=f"Tabulka '{table}' nenalezena.")]
return [TextContent(type="text", text=json.dumps(rows, ensure_ascii=False, default=str, indent=2))]
elif name == "stats":
results = {}
with get_conn() as conn:
with conn.cursor(cursor_factory=psycopg2.extras.RealDictCursor) as cur:
cur.execute("SELECT COUNT(*) AS total FROM zaloha_obrazku")
results["zaloha_obrazku_total"] = cur.fetchone()["total"]
cur.execute("SELECT COUNT(*) AS total FROM zdrojove_soubory")
results["zdrojove_soubory_total"] = cur.fetchone()["total"]
cur.execute("SELECT COUNT(*) AS total FROM photos")
results["photos_total"] = cur.fetchone()["total"]
cur.execute("""
SELECT COUNT(*) AS total FROM photos
WHERE taken_at IS NOT NULL
""")
results["photos_with_taken_at"] = cur.fetchone()["total"]
cur.execute("""
SELECT COUNT(*) AS total FROM photos
WHERE gps_lat IS NOT NULL
""")
results["photos_with_gps"] = cur.fetchone()["total"]
cur.execute("""
SELECT camera_model, COUNT(*) AS cnt
FROM photos
WHERE camera_model IS NOT NULL
GROUP BY camera_model
ORDER BY cnt DESC
LIMIT 10
""")
results["top_cameras"] = [dict(r) for r in cur.fetchall()]
cur.execute("""
SELECT EXTRACT(YEAR FROM taken_at)::int AS rok, COUNT(*) AS cnt
FROM photos
WHERE taken_at IS NOT NULL
GROUP BY rok
ORDER BY rok
""")
results["photos_by_year"] = [dict(r) for r in cur.fetchall()]
cur.execute("""
SELECT processing_status, COUNT(*) AS cnt
FROM photos
GROUP BY processing_status
ORDER BY cnt DESC
""")
results["processing_status"] = [dict(r) for r in cur.fetchall()]
return [TextContent(type="text", text=json.dumps(results, ensure_ascii=False, default=str, indent=2))]
else:
return [TextContent(type="text", text=f"Neznámý nástroj: {name}")]
except Exception as e:
return [TextContent(type="text", text=f"Chyba: {e}")]
# ---------------------------------------------------------------------------
# Spuštění
# ---------------------------------------------------------------------------
async def main():
async with stdio_server() as (read_stream, write_stream):
await server.run(
read_stream,
write_stream,
server.create_initialization_options(),
)
if __name__ == "__main__":
import asyncio
asyncio.run(main())