from typing import Any from ..core.database import ( ChangeSet, DatabaseCommand, execute_command, g_update_prefix, read_all, sql_literal, try_read, ) element_schema = {'type': 'str' , 'optional': True , 'readonly': False} def get_reaction_schema(name: str) -> dict[str, dict[str, Any]]: return { 'ORDER BULK' : element_schema, 'ORDER WALL' : element_schema, 'ORDER TANK' : element_schema, 'GLOBAL BULK' : element_schema, 'GLOBAL WALL' : element_schema, 'LIMITING POTENTIAL' : element_schema, 'ROUGHNESS CORRELATION' : element_schema } def get_reaction(name: str) -> dict[str, Any]: ts = read_all(name, "select key, value from network.reaction_settings") d = {} for e in ts: d[e['key']] = str(e['value']) return d def _set_reaction(name: str, cs: ChangeSet) -> DatabaseCommand: new = {} new_dict = cs.operations[0] schema = get_reaction_schema(name) for key in schema.keys(): if key in new_dict: new[key] = str(new_dict[key]) change = g_update_prefix | { 'type' : 'reaction' } statement = '' for key, value in new.items(): if statement != '': statement += '\n' statement += f"update network.reaction_settings set value = {sql_literal(value)} where key = {sql_literal(key)};" change |= { key: value } return DatabaseCommand(statement, [change]) def set_reaction(name: str, cs: ChangeSet) -> ChangeSet: return execute_command(name, _set_reaction(name, cs)) def get_pipe_reaction_schema(name: str) -> dict[str, dict[str, Any]]: return { 'pipe' : {'type': 'str' , 'optional': False , 'readonly': True }, 'bulk' : {'type': 'float' , 'optional': True , 'readonly': False}, 'wall' : {'type': 'float' , 'optional': True , 'readonly': False} } def get_pipe_reaction(name: str, pipe: str) -> dict[str, Any]: d = {} d['pipe'] = pipe pr = try_read(name, "select bulk_coefficient as bulk, wall_coefficient as wall from network.pipe_reaction_coefficients where pipe_id = %s", (pipe,)) d['bulk'] = float(pr['bulk']) if pr is not None and pr['bulk'] is not None else None d['wall'] = float(pr['wall']) if pr is not None and pr['wall'] is not None else None return d class PipeReaction(object): def __init__(self, input: dict[str, Any]) -> None: self.type = 'pipe_reaction' self.pipe = str(input['pipe']) self.bulk = float(input['bulk']) if 'bulk' in input and input['bulk'] != None else None self.wall = float(input['wall']) if 'wall' in input and input['wall'] != None else None self.f_type = sql_literal(self.type) self.f_pipe = sql_literal(self.pipe) self.f_bulk = sql_literal(self.bulk) self.f_wall = sql_literal(self.wall) def as_dict(self) -> dict[str, Any]: return { 'type': self.type, 'pipe': self.pipe, 'bulk': self.bulk, 'wall': self.wall } def _set_pipe_reaction(name: str, cs: ChangeSet) -> DatabaseCommand: raw_new = get_pipe_reaction(name, cs.operations[0]['pipe']) new_dict = cs.operations[0] schema = get_pipe_reaction_schema(name) for key, value in schema.items(): if key in new_dict and not value['readonly']: raw_new[key] = new_dict[key] new = PipeReaction(raw_new) statement = f"delete from network.pipe_reaction_coefficients where pipe_id = {new.f_pipe};" if new.bulk is not None or new.wall is not None: statement += f"\ninsert into network.pipe_reaction_coefficients (pipe_id, bulk_coefficient, wall_coefficient) values ({new.f_pipe}, {new.f_bulk}, {new.f_wall});" change = g_update_prefix | new.as_dict() return DatabaseCommand(statement, [change]) def set_pipe_reaction(name: str, cs: ChangeSet) -> ChangeSet: return execute_command(name, _set_pipe_reaction(name, cs)) def get_tank_reaction_schema(name: str) -> dict[str, dict[str, Any]]: return { 'tank' : {'type': 'str' , 'optional': False , 'readonly': True }, 'value' : {'type': 'float' , 'optional': True , 'readonly': False} } def get_tank_reaction(name: str, tank: str) -> dict[str, Any]: d = {} d['tank'] = tank pr = try_read(name, "select coefficient as value from network.tank_reaction_coefficients where tank_id = %s", (tank,)) d['value'] = float(pr['value']) if pr is not None else None return d class TankReaction(object): def __init__(self, input: dict[str, Any]) -> None: self.type = 'tank_reaction' self.tank = str(input['tank']) self.value = float(input['value']) if 'value' in input and input['value'] != None else None self.f_type = sql_literal(self.type) self.f_tank = sql_literal(self.tank) self.f_value = sql_literal(self.value) def as_dict(self) -> dict[str, Any]: return { 'type': self.type, 'tank': self.tank, 'value': self.value } def _set_tank_reaction(name: str, cs: ChangeSet) -> DatabaseCommand: raw_new = get_tank_reaction(name, cs.operations[0]['tank']) new_dict = cs.operations[0] schema = get_tank_reaction_schema(name) for key, value in schema.items(): if key in new_dict and not value['readonly']: raw_new[key] = new_dict[key] new = TankReaction(raw_new) statement = f"delete from network.tank_reaction_coefficients where tank_id = {new.f_tank};" if new.value != None: statement += f"\ninsert into network.tank_reaction_coefficients (tank_id, coefficient) values ({new.f_tank}, {new.f_value});" change = g_update_prefix | new.as_dict() return DatabaseCommand(statement, [change]) def set_tank_reaction(name: str, cs: ChangeSet) -> ChangeSet: return execute_command(name, _set_tank_reaction(name, cs)) #-------------------------------------------------------------- # [EPA2][EPA3][IN][OUT] # ORDER {BULK/WALL/TANK} value # GLOBAL BULK coeff # GLOBAL WALL coeff # BULK link1 (link2) coeff # WALL link1 (link2) coeff # TANK node1 (node2) coeff # LIMITING POTENTIAL value # ROUGHNESS CORRELATION value #-------------------------------------------------------------- def inp_in_reaction(line: str) -> str: tokens = line.split() token0 = tokens[0].upper() if token0 == 'BULK' or token0 == 'WALL': pipe = tokens[1] key = token0.lower() value = float(tokens[2]) column = 'bulk_coefficient' if key == 'bulk' else 'wall_coefficient' return str(f"insert into network.pipe_reaction_coefficients (pipe_id, {column}) values ({sql_literal(pipe)}, {sql_literal(value)}) on conflict (pipe_id) do update set {column} = excluded.{column};") elif token0 == 'TANK': tank = tokens[1] value = float(tokens[2]) return str(f"insert into network.tank_reaction_coefficients (tank_id, coefficient) values ({sql_literal(tank)}, {sql_literal(value)});") else: line = line.upper().strip() for key in get_reaction_schema('').keys(): if line.startswith(key): value = line.removeprefix(key).strip() return str(f"update network.reaction_settings set value = {sql_literal(value)} where key = {sql_literal(key)};") return str('') def inp_out_reaction(name: str) -> list[str]: lines = [] objs = read_all(name, "select key, value from network.reaction_settings order by key") for obj in objs: key = obj['key'] value = obj['value'] lines.append(f'{key} {value}') objs = read_all(name, "select pipe_id as pipe, bulk_coefficient as value from network.pipe_reaction_coefficients where bulk_coefficient is not null order by pipe_id") for obj in objs: pipe = obj['pipe'] value = obj['value'] lines.append(f'BULK {pipe} {value}') objs = read_all(name, "select pipe_id as pipe, wall_coefficient as value from network.pipe_reaction_coefficients where wall_coefficient is not null order by pipe_id") for obj in objs: pipe = obj['pipe'] value = obj['value'] lines.append(f'WALL {pipe} {value}') objs = read_all(name, "select tank_id as tank, coefficient as value from network.tank_reaction_coefficients order by tank_id") for obj in objs: tank = obj['tank'] value = obj['value'] lines.append(f'TANK {tank} {value}') return lines def delete_pipe_reaction_by_pipe(name: str, pipe: str) -> ChangeSet: row = try_read(name, "select 1 from network.pipe_reaction_coefficients where pipe_id = %s", (pipe,)) if row is None: return ChangeSet() return ChangeSet(g_update_prefix | {'type': 'pipe_reaction', 'pipe': pipe, 'bulk': None, 'wall': None}) def delete_tank_reaction_by_tank(name: str, tank: str) -> ChangeSet: row = try_read(name, "select 1 from network.tank_reaction_coefficients where tank_id = %s", (tank,)) if row == None: return ChangeSet() return ChangeSet(g_update_prefix | {'type': 'tank_reaction', 'tank': tank, 'value': None})