TJWaterServerBinary/app/native/wndb/model/patterns.py

from typing import Any

from psycopg import sql

from ..core.database import (
    ChangeSet,
    DatabaseCommand,
    execute_command,
    g_add_prefix,
    g_delete_prefix,
    g_update_prefix,
    read_all,
    sql_literal,
    try_read,
)

PATTERN_V3_TYPE_FIXED = 'FIXED'
PATTERN_V3_TYPE_VARIABLE = 'VARIABLE'

pattern_v3_types = [PATTERN_V3_TYPE_FIXED, PATTERN_V3_TYPE_VARIABLE]

def get_pattern_schema(name: str) -> dict[str, dict[str, Any]]:
    return { 'id'      : {'type': 'str'        , 'optional': False , 'readonly': True },
             'factors' : {'type': 'float_list' , 'optional': False , 'readonly': False } }


def get_pattern(name: str, id: str) -> dict[str, Any]:
    p_one = try_read(name, "select id from network.patterns where id = %s", (id,))
    if p_one == None:
        return {}
    pas = read_all(name, "select factor from network.pattern_values where pattern_id = %s order by sequence_no", (id,))
    ps = []
    for r in pas:
        ps.append(float(r['factor']))
    return { 'id': id, 'factors': ps }


def _set_pattern(name: str, cs: ChangeSet) -> DatabaseCommand:
    id = cs.operations[0]['id']
    f_id = sql_literal(id)

    old = get_pattern(name, id)

    new = { 'id': id }
    if 'factors' in cs.operations[0]:
        new['factors'] = cs.operations[0]['factors']
    else:
        new['factors'] = old['factors']

    statement = f"delete from network.pattern_values where pattern_id = {f_id};"
    for sequence_no, factor in enumerate(new['factors']):
        f_factor = sql_literal(factor)
        statement += f"\ninsert into network.pattern_values (pattern_id, sequence_no, factor) values ({f_id}, {sequence_no}, {f_factor});"

    change = g_update_prefix | { 'type': 'pattern' } | new

    return DatabaseCommand(statement, [change])


def set_pattern(name: str, cs: ChangeSet) -> ChangeSet:
    if 'id' not in cs.operations[0]:
        return ChangeSet()
    if get_pattern(name, cs.operations[0]['id']) == {}:
        return ChangeSet()
    return execute_command(name, _set_pattern(name, cs))


def _add_pattern(name: str, cs: ChangeSet) -> DatabaseCommand:
    id = cs.operations[0]['id']
    f_id = sql_literal(id)

    new = { 'id': id, 'factors': cs.operations[0]['factors'] }

    statement = f"insert into network.patterns (id) values ({f_id});"
    for sequence_no, factor in enumerate(new['factors']):
        f_factor = sql_literal(factor)
        statement += f"\ninsert into network.pattern_values (pattern_id, sequence_no, factor) values ({f_id}, {sequence_no}, {f_factor});"

    change = g_add_prefix | { 'type': 'pattern' } | new

    return DatabaseCommand(statement, [change])


def add_pattern(name: str, cs: ChangeSet) -> ChangeSet:
    if 'id' not in cs.operations[0]:
        return ChangeSet()
    if get_pattern(name, cs.operations[0]['id']) != {}:
        return ChangeSet()
    return execute_command(name, _add_pattern(name, cs))


def _delete_pattern(name: str, cs: ChangeSet) -> DatabaseCommand:
    id = cs.operations[0]['id']
    f_id = sql_literal(id)

    statement = f"delete from network.patterns where id = {f_id};"

    change = g_delete_prefix | { 'type': 'pattern' } | { 'id': id }

    return DatabaseCommand(statement, [change])


def delete_pattern(name: str, cs: ChangeSet) -> ChangeSet:
    if 'id' not in cs.operations[0]:
        return ChangeSet()
    if get_pattern(name, cs.operations[0]['id']) == {}:
        return ChangeSet()
    return execute_command(name, _delete_pattern(name, cs))


#--------------------------------------------------------------
# [EPA2][IN][OUT]
#   ;desc
#   id  mult1  mult2 .....
#--------------------------------------------------------------
#--------------------------------------------------------------
# [EPA3][IN][OUT]
#   id  FIXED (interval)
#   id  factor1  factor2  ...
#   id  VARIABLE
#   id  time1  factor1  time2  factor2  ...
#--------------------------------------------------------------


def inp_in_pattern(line: str, fixed: bool = True) -> str:
    tokens = line.split()
    sql = ''
    pattern_id = sql_literal(tokens[0])
    if fixed:
        for token in tokens[1:]:
            factor = sql_literal(float(token))
            sql += f"insert into network.pattern_values (pattern_id, sequence_no, factor) values ({pattern_id}, (select coalesce(max(sequence_no) + 1, 0) from network.pattern_values where pattern_id = {pattern_id}), {factor});"
    else:
        for token in tokens[1::2]:
            factor = sql_literal(float(token))
            sql += f"insert into network.pattern_values (pattern_id, sequence_no, factor) values ({pattern_id}, (select coalesce(max(sequence_no) + 1, 0) from network.pattern_values where pattern_id = {pattern_id}), {factor});"
    return sql


def inp_out_pattern(name: str) -> list[str]:
    lines = []
    objs = read_all(name, "select pattern_id as id, factor from network.pattern_values order by pattern_id, sequence_no")
    for obj in objs:
        id = obj['id']
        factor = obj['factor']
        lines.append(f'{id} {factor}')
    return lines


def inp_out_pattern_v3(name: str) -> list[str]:
    lines = []
    objs = read_all(name, "select pattern_id as id, factor from network.pattern_values order by pattern_id, sequence_no")
    ids = []
    for obj in objs:
        id = obj['id']
        if id not in ids:
            # for EPA3, ignore time of variable pattern...
            lines.append(f'{id} FIXED')
            ids.append(id)
        factor = obj['factor']
        lines.append(f'{id} {factor}')
    return lines