70 lines
2.4 KiB
Python
70 lines
2.4 KiB
Python
import copy
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import parsing
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import knowledge_evaluation
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from modifiable_property import ModifiableProperty
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def diff_knowledge(before, after):
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import jsondiff
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return jsondiff.diff(before, after)
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class KnowledgeBase(object):
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def __init__(self, knowledge, examples=[], trained=[]):
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self.knowledge = copy.copy(knowledge)
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self.examples = copy.copy(examples)
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self.trained = copy.copy(trained)
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def train(self, examples):
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knowledge_before = copy.deepcopy(self.knowledge)
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# Parse everything
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parsed_examples = []
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for example in examples:
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tokens, decomposition, inferred_tree = parsing.integrate_language(self, example)
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print(tokens)
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result = knowledge_evaluation.integrate_information(self.knowledge, {
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"elements": tokens,
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"decomposition": decomposition,
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"parsed": inferred_tree,
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})
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self.act_upon(result)
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parsed_examples.append((decomposition, inferred_tree))
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# Reduce values
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trained = parsing.reprocess_language_knowledge(self, parsed_examples)
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self.examples += parsed_examples
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self.trained = trained
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knowledge_after = copy.deepcopy(self.knowledge)
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knowledge_diff_getter = lambda: diff_knowledge(knowledge_before,
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knowledge_after)
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return knowledge_diff_getter
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def process(self, row):
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knowledge_before = copy.deepcopy(self.knowledge)
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decomposition, inferred_tree = parsing.get_fit(self, row)
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result = knowledge_evaluation.integrate_information(self.knowledge,
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{
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"elements": row,
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"decomposition": decomposition,
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"parsed": inferred_tree,
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})
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self.act_upon(result)
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knowledge_after = copy.deepcopy(self.knowledge)
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knowledge_diff_getter = lambda: diff_knowledge(knowledge_before,
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knowledge_after)
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return result, knowledge_diff_getter
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def act_upon(self, result):
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if isinstance(result, ModifiableProperty):
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result.setter()
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else:
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print(result)
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