0ce879aa44
- Implemented HTML pages for datasets, models, training, testing, and results. - Created API endpoints for managing repositories, results, tests, and training sessions. - Added functionality for streaming training progress via Server-Sent Events (SSE). - Introduced a Dockerfile for the ML runner with necessary dependencies. - Developed an SDK for user code execution within the runner container. - Enhanced CSS styles for improved UI layout and navigation. - Established a layout template for consistent HTML structure across pages. - Added JavaScript for dynamic interactions on the models page. - Implemented WebSocket handling for real-time communication with kiosk devices and controllers. - Implemented model registration and management API at /api/models - Added Gitea proxy API for repository interactions at /api/repos - Created results API for listing and comparing training results at /api/results - Developed training management API for enqueueing and retrieving training jobs at /api/trainings - Introduced SSE endpoint for live training progress updates - Added HTML pages for models, datasets, and training management - Created a Dockerfile for the ML runner with necessary dependencies - Developed SDK for user code execution within the runner container - Enhanced CSS styles for improved UI/UX - Implemented WebSocket communication for real-time device and controller interactions in the kiosk system
54 lines
1.2 KiB
Python
54 lines
1.2 KiB
Python
"""Connessione asyncpg al database ml. Pool singleton."""
|
|
from __future__ import annotations
|
|
|
|
import asyncpg
|
|
from typing import Optional
|
|
|
|
from core.config import settings
|
|
|
|
_pool: Optional[asyncpg.Pool] = None
|
|
|
|
|
|
async def init_pool() -> asyncpg.Pool:
|
|
global _pool
|
|
if _pool is None:
|
|
_pool = await asyncpg.create_pool(
|
|
host=settings.pg_host,
|
|
port=settings.pg_port,
|
|
user=settings.pg_user,
|
|
password=settings.pg_password,
|
|
database=settings.pg_db,
|
|
min_size=1,
|
|
max_size=10,
|
|
command_timeout=30,
|
|
)
|
|
return _pool
|
|
|
|
|
|
async def close_pool() -> None:
|
|
global _pool
|
|
if _pool is not None:
|
|
await _pool.close()
|
|
_pool = None
|
|
|
|
|
|
def pool() -> asyncpg.Pool:
|
|
if _pool is None:
|
|
raise RuntimeError("DB pool not initialized — call init_pool() at startup")
|
|
return _pool
|
|
|
|
|
|
async def fetch(sql: str, *args):
|
|
async with pool().acquire() as c:
|
|
return await c.fetch(sql, *args)
|
|
|
|
|
|
async def fetchrow(sql: str, *args):
|
|
async with pool().acquire() as c:
|
|
return await c.fetchrow(sql, *args)
|
|
|
|
|
|
async def execute(sql: str, *args):
|
|
async with pool().acquire() as c:
|
|
return await c.execute(sql, *args)
|