annif.backend.dummy.DummyBackend._learn() - Code Metrics - Inspection of "Merge branch 'update-dependencies-v1.0' into issue..." - NatLibFi/Annif - Measure and Improve Code Quality continuously with Scrutinizer

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Push — issue703-python-3.11-support ( f59527...05d52a )

by Juho

created 2023-08-15 12:08 UTC

annif.backend.dummy.DummyBackend._learn() A

↳ Parent: annif.backend.dummy

Complexity

Conditions

Size

Total Lines	12
Code Lines	8

Duplication

Lines	0
Ratio	0 %

Importance

Changes

Metric	Value
cc	3
eloc	8
nop	3
dl	0
loc	12
rs	10
c	0
b	0
f	0

"""Dummy backend for testing basic interaction of projects and backends"""
from __future__ import annotations

from typing import TYPE_CHECKING, Any

from annif.suggestion import SubjectSuggestion

from . import backend

if TYPE_CHECKING:
    from annif.corpus.document import DocumentCorpus


class DummyBackend(backend.AnnifLearningBackend):
    name = "dummy"
    initialized = False
    subject_id = 0
    is_trained = True
    modification_time = None

    def initialize(self, parallel: bool = False) -> None:
        self.initialized = True

    def _suggest(self, text: str, params: dict[str, Any]) -> list[SubjectSuggestion]:
        score = float(params.get("score", 1.0))

        # Ensure tests fail if "text" with wrong type ends up here
        assert isinstance(text, str)

        # Give no hits for no text
        if len(text) == 0:
            return []

        # allow overriding returned subject via uri parameter
        if "uri" in params:
            subject_id = self.project.subjects.by_uri(params["uri"])
        else:
            subject_id = self.subject_id

        return [SubjectSuggestion(subject_id=subject_id, score=score)]

    def _learn(
        self,
        corpus: DocumentCorpus,
        params: dict[str, Any],
    ) -> None:
        # in this dummy backend we "learn" by picking up the subject ID
        # of the first subject of the first document in the learning set
        # and using that in subsequent analysis results
        for doc in corpus.documents:
            if doc.subject_set:
                self.subject_id = doc.subject_set[0]
            break


1			"""Dummy backend for testing basic interaction of projects and backends"""
2			from __future__ import annotations
3
4			from typing import TYPE_CHECKING, Any
5
6			from annif.suggestion import SubjectSuggestion
7
8			from . import backend
9
10			if TYPE_CHECKING:
11			from annif.corpus.document import DocumentCorpus
12
13
14			class DummyBackend(backend.AnnifLearningBackend):
15			name = "dummy"
16			initialized = False
17			subject_id = 0
18			is_trained = True
19			modification_time = None
20
21			def initialize(self, parallel: bool = False) -> None:
22			self.initialized = True
23
24			def _suggest(self, text: str, params: dict[str, Any]) -> list[SubjectSuggestion]:
25			score = float(params.get("score", 1.0))
26
27			# Ensure tests fail if "text" with wrong type ends up here
28			assert isinstance(text, str)
29
30			# Give no hits for no text
31			if len(text) == 0:
32			return []
33
34			# allow overriding returned subject via uri parameter
35			if "uri" in params:
36			subject_id = self.project.subjects.by_uri(params["uri"])
37			else:
38			subject_id = self.subject_id
39
40			return [SubjectSuggestion(subject_id=subject_id, score=score)]
41
42			def _learn(
43			self,
44			corpus: DocumentCorpus,
45			params: dict[str, Any],
46			) -> None:
47			# in this dummy backend we "learn" by picking up the subject ID
48			# of the first subject of the first document in the learning set
49			# and using that in subsequent analysis results
50			for doc in corpus.documents:
51			if doc.subject_set:
52			self.subject_id = doc.subject_set[0]
53			break
54

NatLibFi / Annif

Push — issue703-python-3.11-support ( f59527...05d52a )

annif.backend.dummy.DummyBackend._learn() A

Complexity

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Duplication

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