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"""Support for document corpora in JSON format""" |
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import functools |
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import json |
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import os.path |
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from importlib.resources import files |
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import jsonschema |
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import annif |
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from annif.vocab import SubjectIndex |
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from .types import Document, SubjectSet |
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logger = annif.logger |
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@functools.lru_cache(maxsize=1) |
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def _get_json_schema(schema_name): |
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schema_path = files("annif.schemas").joinpath(schema_name) |
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with schema_path.open("r", encoding="utf-8") as schema_file: |
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return json.load(schema_file) |
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def _subjects_to_subject_set(subjects, subject_index, language): |
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subject_ids = [] |
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for subj in subjects: |
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if "uri" in subj: |
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subject_ids.append(subject_index.by_uri(subj["uri"])) |
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else: |
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subject_ids.append(subject_index.by_label(subj["label"], language)) |
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return SubjectSet(subject_ids) |
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def json_file_to_document( |
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filename: str, |
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subject_index: SubjectIndex, |
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language: str, |
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require_subjects: bool, |
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) -> Document | None: |
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if os.path.getsize(filename) == 0: |
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logger.warning(f"Skipping empty file {filename}") |
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return None |
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with open(filename, "r", encoding="utf-8") as jsonfile: |
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try: |
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data = json.load(jsonfile) |
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except json.JSONDecodeError as err: |
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logger.warning(f"JSON parsing failed for file {filename}: {err}") |
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return None |
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try: |
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jsonschema.validate(instance=data, schema=_get_json_schema("document.json")) |
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except jsonschema.ValidationError as err: |
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logger.warning(f"JSON validation failed for file {filename}: {err.message}") |
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return None |
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subject_set = _subjects_to_subject_set( |
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data.get("subjects", []), subject_index, language |
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) |
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if require_subjects and not subject_set: |
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return None |
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return Document( |
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text=data.get("text", ""), |
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metadata=data.get("metadata", {}), |
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subject_set=subject_set, |
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file_path=filename, |
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) |
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NatLibFi /
Annif
