Source code for ResSimpy.Nexus.DataModels.NexusValveMethod

from __future__ import annotations
from dataclasses import dataclass, field
from enum import Enum
from typing import Optional, Union
import pandas as pd
from ResSimpy.Nexus.DataModels.NexusFile import NexusFile
from ResSimpy.Nexus.NexusKeywords.valve_keywords import VALVE_TABLE_KEYWORDS, VALVE_RATE_KEYWORDS
from ResSimpy.DynamicProperty import DynamicProperty
from ResSimpy.Enums.UnitsEnum import UnitSystem, SUnits, TemperatureUnits
from ResSimpy.Utils.factory_methods import get_empty_dict_union
import ResSimpy.Nexus.nexus_file_operations as nfo


[docs]@dataclass(kw_only=True, repr=False) # Doesn't need to write an _init_, _eq_ methods, etc. class NexusValveMethod(DynamicProperty): """Class to hold Nexus Valve properties. Attributes: file (NexusFile): Nexus valve properties file object input_number (int): Valve properties method number in Nexus fcs file properties (dict[str, Union[str, int, float, Enum, list[str], pd.DataFrame, dict[str, Union[float, pd.DataFrame]]]]): Dictionary holding all properties for a specific valve properties method. Defaults to empty dictionary. """ # General parameters file: NexusFile properties: dict[str, Union[str, int, float, Enum, list[str], pd.DataFrame, dict[str, Union[float, pd.DataFrame]]]] = field(default_factory=get_empty_dict_union)
[docs] def __init__(self, file: NexusFile, input_number: int, properties: Optional[dict[str, Union[str, int, float, Enum, list[str], pd.DataFrame, dict[str, Union[float, pd.DataFrame]]]]] = None) -> None: if properties is not None: self.properties = properties else: self.properties = {} super().__init__(input_number=input_number, file=file)
[docs] def to_string(self) -> str: """Create string with valve data in Nexus file format.""" printable_str = '' valve_dict = self.properties for key, value in valve_dict.items(): if key == 'DESC' and isinstance(value, list): for desc_line in value: printable_str += 'DESC ' + desc_line + '\n' elif isinstance(value, pd.DataFrame): table_text = f'{key}' if key in ['VALVE', 'ICV']: for rate_key in VALVE_RATE_KEYWORDS: if 'DP_RATE' in valve_dict.keys() and rate_key == valve_dict['DP_RATE']: table_text += f' {rate_key}' printable_str += f'{table_text}\n' printable_str += value.to_string(na_rep='', index=False) + '\n' printable_str += 'END'+key+'\n' printable_str += '\n' elif isinstance(value, Enum): if isinstance(value, UnitSystem) or isinstance(value, TemperatureUnits): printable_str += f'{value.value}\n' elif isinstance(value, SUnits): printable_str += f'SUNITS {value.value}\n' elif key not in ['DP_RATE']: if value == '': printable_str += f'{key}\n' else: printable_str += f'{key} {value}\n' return printable_str
[docs] def read_properties(self) -> None: """Read Nexus valve file contents and populate the NexusValveMethod object.""" file_as_list = self.file.get_flat_list_str_file # Check for common input data nfo.check_for_and_populate_common_input_data(file_as_list, self.properties) # Initialize flags and containers to use to record properties as we iterate through valve file contents # Dictionary to record start and ending indices for tables valve_table_indices: dict[str, list[int]] = {} # Dictionary of flags indicating which tables are being read table_being_read: dict[str, bool] = {} for table_name in VALVE_TABLE_KEYWORDS: table_being_read[table_name] = False line_indx = 0 for line in file_as_list: # Find beginning and ending indices of tables for table_key in VALVE_TABLE_KEYWORDS: if nfo.check_token(table_key, line): table_being_read[table_key] = True valve_table_indices[table_key] = [line_indx + 1, len(file_as_list)] # Find rate keyword if present for rate_key in VALVE_RATE_KEYWORDS: if nfo.check_token(rate_key, line): self.properties['DP_RATE'] = rate_key # Rate used to determine pressure drop across valve if table_being_read[table_key] and nfo.check_token('END' + table_key, line): table_being_read[table_key] = False valve_table_indices[table_key][1] = line_indx line_indx += 1 # Read in tables for key in valve_table_indices.keys(): self.properties[key] = nfo.read_table_to_df(file_as_list[ valve_table_indices[key][0]:valve_table_indices[key][1]])