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Add some logging to the classifier
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@ -239,6 +239,15 @@ class DocumentClassifier:
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cache.set(CLASSIFIER_HASH_KEY, hasher.hexdigest(), CACHE_50_MINUTES)
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cache.set(CLASSIFIER_VERSION_KEY, self.FORMAT_VERSION, CACHE_50_MINUTES)
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return False
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logger.debug(
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f"""Found:
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Last training: {self.last_doc_change_time}
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Latest doc change: {latest_doc_change}
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Last auto type hash: {self.last_auto_type_hash.hex() if self.last_auto_type_hash else None}
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Current hash: {hasher.digest().hex()}
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Result: Retraining required
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""",
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)
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# subtract 1 since -1 (null) is also part of the classes.
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@ -251,7 +260,7 @@ class DocumentClassifier:
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logger.debug(
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f"{docs_queryset.count()} documents, {num_tags} tag(s), {num_correspondents} correspondent(s), "
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f"{num_document_types} document type(s). {num_storage_paths} storage path(es)",
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f"{num_document_types} document type(s). {num_storage_paths} storage path(s)",
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)
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from sklearn.feature_extraction.text import CountVectorizer
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