JobShopScheduling/src/JobShopParser/jobshop1_parser.py

58 lines
2.3 KiB
Python

from arpeggio.cleanpeg import ParserPEG
from typing import List, Tuple, Sequence, Optional, Union
import arpeggio
from . import grammar, ParseError, JobShopProblem, JobShopVisitor
class JobShop1Visitor(JobShopVisitor):
"""instanciated for semantic analysis of parse_tree"""
def visit_problem_instance(self, node: arpeggio.ParseTreeNode, children: arpeggio.SemanticActionResults) -> JobShopProblem:
if self.debug:
print("problem_instance\nchildren:", children)
problem: JobShopProblem = children[3]
problem.name = children[0]
problem.description = children[2]
return problem
def visit_instance_list(self, node: arpeggio.ParseTreeNode, children: arpeggio.SemanticActionResults) -> List[JobShopProblem]:
if self.debug:
print("instance_list\nchildren:", children)
return list(filter(lambda x: isinstance(x, JobShopProblem), children))
def visit_skip_preface(self, node: arpeggio.ParseTreeNode, children: arpeggio.SemanticActionResults) -> List[JobShopProblem]:
if self.debug:
print("skip_preface\nchildren:", children)
return list(filter(lambda x: type(x) is list, children))[0]
# ignore eol nodes
def visit_eol(self, node:arpeggio.ParseTreeNode, children: arpeggio.SemanticActionResults) -> None:
return None
# ignore trim_ws nodes
def visit_trim_ws(self, node:arpeggio.ParseTreeNode, children: arpeggio.SemanticActionResults) -> None:
return None
def parse_jobshop1_string(inputdata: str) -> JobShopProblem:
"""parse string with jobshop1-formatted data (multiple problem instances)
and return list of JobShopProblem s"""
parse_tree = parser.parse(inputdata)
return arpeggio.visit_parse_tree(parse_tree, JobShop1Visitor())
def parse_jobshop1_file(filename: Union[str, bytes]) -> List[JobShopProblem]:
"""Open file with jobshop1-formatted data (multiple problem instances),
parse it and return list of JobShopProblem s"""
with open(filename) as datafile:
inputdata: str = datafile.read()
return parse_jobshop1_string(inputdata)
def main():
print(parse_jobshop1_file("../inputdata/jobshop1.txt"))
parser = ParserPEG(grammar, "job_shop1", skipws=False)
if __name__ == "__main__":
main()