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Commit 65646a89 authored by Eva Bardou's avatar Eva Bardou
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Add few more helpers for developers

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......@@ -9,6 +9,7 @@ import uuid
from apistar.exceptions import ErrorResponse
from arkindex import ArkindexClient, options_from_env
from arkindex_common.enums import EntityType, TranscriptionType
from arkindex_worker import logger
from arkindex_worker.models import Element
from arkindex_worker.reporting import Reporter
......@@ -202,3 +203,99 @@ class ElementsWorker(BaseWorker):
},
)
self.report.add_element(element.id, type)
def create_transcription(self, element, text, type, score):
"""
Create a transcription on the given element through API
"""
assert element and isinstance(
element, Element
), "element shouldn't be null and should be of type Element"
assert type and isinstance(
type, str
), "type shouldn't be null and should be of type str"
assert (
type in TranscriptionType._value2member_map_
), "type should be an allowed transcription type"
assert text and isinstance(
text, str
), "text shouldn't be null and should be of type str"
assert (
score and isinstance(score, float) and 0 <= score <= 1
), "score shouldn't be null and should be a float in [0..1] range"
self.api_client.request(
"CreateTranscription",
id=element.id,
body={
"text": text,
"type": type,
"worker_version": self.worker_version_id,
"score": score,
},
)
self.report.add_transcription(element.id, type)
def create_classification(self, element, ml_class, confidence, high_confidence):
"""
Create a classification on the given element through API
"""
assert element and isinstance(
element, Element
), "element shouldn't be null and should be of type Element"
assert ml_class and isinstance(
ml_class, str
), "ml_class shouldn't be null and should be of type str"
assert (
confidence and isinstance(confidence, float) and 0 <= confidence <= 1
), "confidence shouldn't be null and should be a float in [0..1] range"
assert high_confidence and isinstance(
high_confidence, bool
), "high_confidence shouldn't be null and should be of type bool"
self.api_client.request(
"CreateClassification",
body={
"element": element.id,
"ml_class": ml_class,
"worker_version": self.worker_version_id,
"confidence": confidence,
"high_confidence": high_confidence,
},
)
self.report.add_classification(element.id, ml_class)
def create_entity(self, name, type, corpus, metas=None, validated=None):
"""
Create an entity on the given corpus through API
"""
assert name and isinstance(
name, str
), "name shouldn't be null and should be of type str"
assert type and isinstance(
type, str
), "type shouldn't be null and should be of type str"
assert (
type in EntityType._value2member_map_
), "type should be an allowed entity type"
assert corpus and isinstance(
corpus, str
), "corpus shouldn't be null and should be of type str"
if metas:
assert isinstance(metas, dict), "metas should be of type dict"
if validated:
assert isinstance(validated, bool), "validated should be of type bool"
self.api_client.request(
"CreateEntity",
body={
"name": name,
"type": type,
"metas": metas,
"validated": validated,
"corpus": corpus,
"worker_version": self.worker_version_id,
},
)
# TODO: Uncomment this when Reporter add_entity() method is implemented
# self.report.add_entity(element.id, type)
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