def test_function_step_with_context():
document_store = JsonDocumentStore("/tmp/test-json-store",
force_initialize=True)
document_store.add(create_document())
new_document_store = JsonDocumentStore("/tmp/test-json-store2",
force_initialize=True)
def my_function(doc, context):
doc.metadata.cheese = context.transaction_id
logging.error("Hello")
return doc
assert new_document_store.count() == 0
pipeline = Pipeline(document_store)
pipeline.add_step(my_function)
pipeline.set_sink(new_document_store)
stats = pipeline.run().statistics
assert stats.documents_processed == 1
assert stats.document_exceptions == 0
assert new_document_store.count() == 1
assert new_document_store.get_document(
0).metadata.cheese == pipeline.context.transaction_id
print(new_document_store.get_document(0).log)
def test_function_step_with_exception():
document_store = JsonDocumentStore("/tmp/test-json-store",
force_initialize=True)
document_store.add(create_document())
new_document_store = JsonDocumentStore("/tmp/test-json-store2",
force_initialize=True)
def my_function(doc):
doc.metadata.cheese = "fishstick"
raise Exception("hello world")
return doc
assert new_document_store.count() == 0
pipeline = Pipeline(document_store, stop_on_exception=False)
pipeline.add_step(my_function)
pipeline.set_sink(new_document_store)
stats = pipeline.run().statistics
assert stats.documents_processed == 1
assert stats.document_exceptions == 1
assert new_document_store.count() == 1
assert len(new_document_store.get_document(0).exceptions) == 1
print(new_document_store.get_document(0).exceptions)
def test_table_stores_with_extractor():
document_store = LocalDocumentStore()
document_store.put("test.doc", create_document())
pipeline = Pipeline(document_store, stop_on_exception=False)
pipeline.add_store('output', TableDataStore(columns=['cheese']))
def extractor(document, context):
# An example of how we might
# extract into a dict
#
context.get_store('output').add(['test'])
return document
pipeline.add_step(extractor)
context = pipeline.run()
assert context.get_store('output').count() == 1
def test_table_stores_with_extractor():
document_store = JsonDocumentStore("/tmp/test-json-store",
force_initialize=True)
document_store.add(create_document())
pipeline = Pipeline(document_store, stop_on_exception=False)
pipeline.add_store('output', TableDataStore(columns=['cheese']))
def extractor(document, context):
# An example of how we might
# extract into a dict
#
context.get_store('output').add(['test'])
return document
pipeline.add_step(extractor)
context = pipeline.run()
assert pipeline.context.get_store('output').count() == 1
def test_dict_stores_with_extractor():
document_store = JsonDocumentStore("/tmp/test-json-store",
force_initialize=True)
document_store.add(create_document())
pipeline = Pipeline(document_store, stop_on_exception=False)
pipeline.add_store('output', DictDataStore())
def extractor(document, context):
# An example of how we might
# extract into a dict
#
context.get_store('output').add({'cheese': 'test'})
return document
pipeline.add_step(extractor)
stats = pipeline.run().statistics
assert pipeline.context.get_store('output').count() == 1
def test_function_step_with_context():
document_store = LocalDocumentStore()
document_store.put("test.doc", create_document())
new_document_store = LocalDocumentStore()
def my_function(doc, context):
doc.metadata.cheese = context.execution_id
logging.error("Hello")
return doc
assert new_document_store.count() == 0
pipeline = Pipeline(document_store)
pipeline.add_step(my_function)
pipeline.add_step(DocumentStoreWriter(new_document_store))
stats = pipeline.run().statistics
assert stats.documents_processed == 1
assert stats.document_exceptions == 0
assert new_document_store.count() == 1
assert new_document_store.get_latest_document("test.doc").metadata.cheese == pipeline.context.execution_id
def test_function_step_with_exception():
document_store = LocalDocumentStore()
document_store.put("test.doc", create_document())
new_document_store = LocalDocumentStore()
def my_function(doc):
doc.metadata.cheese = "fishstick"
raise Exception("hello world")
assert new_document_store.count() == 0
pipeline = Pipeline(document_store, stop_on_exception=False)
pipeline.add_step(my_function)
pipeline.add_step(DocumentStoreWriter(new_document_store))
stats = pipeline.run().statistics
assert stats.documents_processed == 1
assert stats.document_exceptions == 1
assert new_document_store.count() == 1
assert len(new_document_store.get_latest_document("test.doc").exceptions) == 1
def test_class_step_step_with_context():
document_store = LocalDocumentStore()
document_store.put('test.doc', create_document())
new_document_store = LocalDocumentStore()
class MyProcessingStep:
def get_name(self):
return "test-step"
def process(self, doc, context):
doc.metadata.cheese = context.execution_id
logging.error("Hello")
return doc
pipeline = Pipeline(document_store)
pipeline.add_step(MyProcessingStep())
pipeline.add_step(DocumentStoreWriter(new_document_store))
ctxt = pipeline.run()
assert ctxt.statistics.documents_processed == 1
assert ctxt.statistics.document_exceptions == 0
assert new_document_store.get_latest_document("test.doc").metadata.cheese == pipeline.context.execution_id