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"""Dummy backend for testing basic interaction of projects and backends""" |
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from annif.suggestion import ListSuggestionResult, SubjectSuggestion |
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from . import backend |
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class DummyBackend(backend.AnnifLearningBackend): |
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name = "dummy" |
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initialized = False |
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subject_id = 0 |
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is_trained = True |
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modification_time = None |
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def default_params(self): |
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return backend.AnnifBackend.DEFAULT_PARAMETERS |
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def initialize(self, parallel=False): |
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self.initialized = True |
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def _suggest(self, text, params): |
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score = float(params.get("score", 1.0)) |
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# Ensure tests fail if "text" with wrong type ends up here |
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assert isinstance(text, str) |
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# Give no hits for no text |
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if len(text) == 0: |
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return ListSuggestionResult([]) |
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# allow overriding returned subject via uri parameter |
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if "uri" in params: |
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subject_id = self.project.subjects.by_uri(params["uri"]) |
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else: |
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subject_id = self.subject_id |
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return ListSuggestionResult( |
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[SubjectSuggestion(subject_id=subject_id, score=score)] |
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) |
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def _suggest_batch(self, corpus, params): |
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return [self._suggest(doc.text, params) for doc in corpus.documents] |
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def _learn(self, corpus, params): |
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# in this dummy backend we "learn" by picking up the subject ID |
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# of the first subject of the first document in the learning set |
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# and using that in subsequent analysis results |
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for doc in corpus.documents: |
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if doc.subject_set: |
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self.subject_id = doc.subject_set[0] |
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break |
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NatLibFi /
Annif
