111 lines
3.9 KiB
Python
111 lines
3.9 KiB
Python
from core.builtin_concepts import BuiltinConcepts, ParserResultConcept
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from core.concept import Concept
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from core.tokenizer import TokenKind
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from evaluators.BaseEvaluator import AllReturnValuesEvaluator, BaseEvaluator
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from parsers.BaseParser import BaseParser
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from parsers.ConceptLexerParser import ConceptNode, UnrecognizedTokensNode, ConceptLexerParser
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import core.utils
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class ConceptComposerEvaluator(AllReturnValuesEvaluator):
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"""
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Try to reassemble parts of concepts from different evaluators
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"""
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NAME = "ConceptComposer"
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def __init__(self):
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super().__init__(self.NAME, [BuiltinConcepts.EVALUATION], 40)
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def matches(self, context, return_values):
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concept_lexer_parser_name = ConceptLexerParser().name
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for return_value in return_values:
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if return_value.who.startswith(BaseParser.PREFIX) and return_value.status:
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return False
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if return_value.who.startswith(BaseEvaluator.PREFIX):
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return False
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if return_value.who != concept_lexer_parser_name:
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continue
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if not isinstance(return_value.value, ParserResultConcept):
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return False
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if not (
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isinstance(return_value.value.value, ConceptNode) or
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isinstance(return_value.value.value, UnrecognizedTokensNode) or
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(
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hasattr(return_value.value.value, "__iter__") and
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len(return_value.value.value) > 0 and
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(
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isinstance(return_value.value.value[0], ConceptNode) or
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isinstance(return_value.value.value[0], UnrecognizedTokensNode)
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))):
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return False
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self.eaten = return_value
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return True
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return False
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def eval(self, context, return_value):
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sheerka = context.sheerka
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nodes = self.eaten.value.value
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temp_res = []
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has_error = False
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concepts_only = True
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for node in nodes:
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if isinstance(node, UnrecognizedTokensNode):
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tokens = core.utils.strip_tokens(node.tokens, True)
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for token in tokens:
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if token.type == TokenKind.IDENTIFIER:
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concept = context.new_concept(token.value)
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if sheerka.isinstance(concept, BuiltinConcepts.UNKNOWN_CONCEPT):
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has_error = True
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else:
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sub_context = context.push(self.name, desc=f"Evaluating '{concept}'")
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sub_context.log_new(self.verbose_log)
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concept = sheerka.evaluate_concept(sub_context, concept, self.verbose_log)
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temp_res.append(concept)
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else:
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temp_res.append(core.utils.strip_quotes(token.value))
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concepts_only &= token.type == TokenKind.WHITESPACE or token.type == TokenKind.NEWLINE
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else:
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sub_context = context.push(self.name, desc=f"Evaluating '{node.concept}'")
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sub_context.log_new(self.verbose_log)
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concept = sheerka.evaluate_concept(sub_context, node.concept, self.verbose_log)
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temp_res.append(concept)
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if has_error:
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return sheerka.ret(
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self.name,
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False,
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temp_res,
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parents=[self.eaten])
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if concepts_only:
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res = []
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for r in temp_res:
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if isinstance(r, Concept):
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res.append(r)
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else:
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res = ""
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for r in temp_res:
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if isinstance(r, Concept):
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res += sheerka.value(r)
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else:
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res += r
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return sheerka.ret(
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self.name,
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True,
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res,
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parents=[self.eaten])
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