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from dataclasses import dataclass | |
from typing import Dict, List, Optional | |
import networkx as nx | |
import numpy as np | |
class SignNode: | |
id: str | |
level: str | |
meaning_vector: np.ndarray | |
context: Dict[str, float] | |
relations: List[str] | |
class SemioticNetworkBuilder: | |
def __init__(self): | |
self.graph = nx.MultiDiGraph() | |
self.meaning_extractor = MeaningExtractor() | |
self.context_analyzer = ContextAnalyzer() | |
def construct(self, input_data: Dict[str, Any]) -> nx.MultiDiGraph: | |
signs = self._extract_signs(input_data) | |
self._build_nodes(signs) | |
self._establish_relations() | |
return self._optimize_network() | |
def _extract_signs(self, input_data: Dict[str, Any]) -> List[SignNode]: | |
meanings = self.meaning_extractor.process(input_data) | |
contexts = self.context_analyzer.analyze(input_data) | |
return [self._create_sign_node(m, c) for m, c in zip(meanings, contexts)] |