from psycopg.rows import dict_row, Row
from .connection import g_conn_dict as conn

_NODE = "_node"
_LINK = "_link"
_CURVE = "_curve"
_PATTERN = "_pattern"

JUNCTION = "junction"
RESERVOIR = "reservoir"
TANK = "tank"
PIPE = "pipe"
PUMP = "pump"
VALVE = "valve"

def _get_from(name: str, id: str, base_type: str) -> Row | None:
    with conn[name].cursor(row_factory=dict_row) as cur:
        cur.execute(f"select * from {base_type} where id = '{id}'")
        return cur.fetchone()

def is_node(name: str, id: str) -> bool:
    return _get_from(name, id, _NODE) != None

def is_junction(name: str, id: str) -> bool:
    row = _get_from(name, id, _NODE)
    return row != None and row['type'] == JUNCTION

def is_reservoir(name: str, id: str) -> bool:
    row = _get_from(name, id, _NODE)
    return row != None and row['type'] == RESERVOIR

def is_tank(name: str, id: str) -> bool:
    row = _get_from(name, id, _NODE)
    return row != None and row['type'] == TANK

def is_link(name: str, id: str) -> bool:
    return _get_from(name, id, _LINK) != {}

def is_pipe(name: str, id: str) -> bool:
    row = _get_from(name, id, _LINK)
    return row != None and row['type'] == PIPE

def is_pump(name: str, id: str) -> bool:
    row = _get_from(name, id, _LINK)
    return row != None and row['type'] == PUMP

def is_valve(name: str, id: str) -> bool:
    row = _get_from(name, id, _LINK)
    return row != None and row['type'] == VALVE

def is_curve(name: str, id: str) -> bool:
    return _get_from(name, id, _CURVE) != None

def is_pattern(name: str, id: str) -> bool:
    return _get_from(name, id, _PATTERN) != None

def _get_all(name: str, base_type: str) -> list[str]:
    ids : list[str] = []
    with conn[name].cursor(row_factory=dict_row) as cur:
        cur.execute(f"select id from {base_type} order by id")
        for record in cur:
            ids.append(record['id'])
    return ids

def get_nodes(name: str) -> list[str]:
    return _get_all(name, _NODE)

def get_links(name: str) -> list[str]:
    return _get_all(name, _LINK)

def get_curves(name: str) -> list[str]:
    return _get_all(name, _CURVE)

def get_patterns(name: str) -> list[str]:
    return _get_all(name, _PATTERN)