def build_subjects_json_file():
version = DataSetHelper().get_latest_version_number()
blob_helper = BlobHelper()
cosmos_db_client = get_cosmos_client()
collection_link = get_collection_link("AzureCosmosDbDatabaseId",
"AzureCosmosDbSubjectsCollectionId")
query = f"SELECT * from c where c.version = {version}"
options = {"enableCrossPartitionQuery": True}
subjects_list = list(
cosmos_db_client.QueryItems(collection_link, query, options))
subjects_file = io.StringIO()
subjects = []
for subject in subjects_list:
subject_entry = get_subject_entry(subject)
subjects.append(subject_entry)
subjects.sort(key=lambda x: x["english_name"])
json.dump(subjects, subjects_file, indent=4)
encoded_file = subjects_file.getvalue().encode('utf-8')
storage_container_name = os.environ["AzureStorageJSONFilesContainerName"]
storage_blob_name = os.environ["AzureStorageSubjectsJSONFileBlobName"]
blob_helper.write_stream_file(storage_container_name, storage_blob_name,
encoded_file)
subjects_file.close()
def test_initialisation(self, mock_get_cosmos_client):
mock_get_cosmos_client.return_value = mock.MagicMock()
try:
DataSetHelper()
except:
self.fail(
"DataSetHelper initialisation raised unexpected Exception")
def build_version_json_file():
version = DataSetHelper().get_latest_version_number()
blob_helper = BlobHelper()
version_file = io.StringIO()
version_json = {}
version_json["version"] = version
json.dump(version_json, version_file, indent=4)
encoded_file = version_file.getvalue().encode('utf-8')
storage_container_name = os.environ["AzureStorageJSONFilesContainerName"]
blob_helper.write_stream_file(storage_container_name, "version.json",
encoded_file)
def test_update_status(self, mock_get_cosmos_client):
dsh = DataSetHelper()
latest_dataset_doc = {}
latest_dataset_doc["version"] = 3
latest_dataset_doc["builds"] = {"courses": {"status": "pending"}}
latest_dataset_doc["updated_at"] = "dave"
dsh.get_latest_doc = mock.MagicMock(return_value=latest_dataset_doc)
dsh.cosmos_client.UpsertItem = mock.MagicMock()
dsh.update_status("courses", "in progress", "dave")
expected_connection_link = (
"dbs/test-db-id/colls/test-dataset-collection-id")
expected_dataset_doc = {}
expected_dataset_doc["version"] = 3
expected_dataset_doc["builds"] = {"courses": {"status": "in progress"}}
expected_dataset_doc["updated_at"] = "dave"
dsh.cosmos_client.UpsertItem.assert_called_once_with(
expected_connection_link, expected_dataset_doc)
def test_have_all_builds_succeeded_with_one_pending(
self, mock_get_cosmos_client):
dsh = DataSetHelper()
latest_dataset_doc = {}
latest_dataset_doc["version"] = 3
latest_dataset_doc["builds"] = {
"courses": {
"status": "pending"
},
"institutions": {
"status": "succeeded"
},
"search": {
"status": "succeeded"
},
"subjects": {
"status": "succeeded"
},
}
dsh.get_latest_doc = mock.MagicMock(return_value=latest_dataset_doc)
self.assertFalse(dsh.have_all_builds_succeeded())
def build_institutions_json_files():
version = DataSetHelper().get_latest_version_number()
blob_helper = BlobHelper()
cosmos_db_client = get_cosmos_client()
collection_link = get_collection_link(
"AzureCosmosDbDatabaseId", "AzureCosmosDbInstitutionsCollectionId")
query = f"SELECT * from c where c.version = {version}"
options = {"enableCrossPartitionQuery": True}
institution_list = list(
cosmos_db_client.QueryItems(collection_link, query, options))
institutions_file = io.StringIO()
institutions = []
for val in institution_list:
institution = val["institution"]
if isinstance(institution["pub_ukprn_name"], str):
inst_entry = get_inst_entry(institution["pub_ukprn_name"])
institutions.append(inst_entry)
institutions.sort(key=lambda x: x["order_by_name"])
json.dump(institutions, institutions_file, indent=4)
encoded_file = institutions_file.getvalue().encode('utf-8')
storage_container_name = os.environ["AzureStorageJSONFilesContainerName"]
storage_blob_name = os.environ[
"AzureStorageInstitutionsENJSONFileBlobName"]
blob_helper.write_stream_file(storage_container_name, storage_blob_name,
encoded_file)
institutions_file.close()
institutions_file = io.StringIO()
institutions = []
for val in institution_list:
institution = val["institution"]
isnt_name = institution["pub_ukprn_name"]
inst_welsh_name = institution["pub_ukprn_welsh_name"]
if isinstance(inst_welsh_name, str):
inst_entry = get_inst_entry(inst_welsh_name)
institutions.append(inst_entry)
elif isinstance(isnt_name, str):
inst_entry = get_inst_entry(isnt_name)
institutions.append(inst_entry)
institutions.sort(key=lambda x: x["order_by_name"])
json.dump(institutions, institutions_file, indent=4)
encoded_file = institutions_file.getvalue().encode('utf-8')
storage_container_name = os.environ["AzureStorageJSONFilesContainerName"]
storage_blob_name = os.environ[
"AzureStorageInstitutionsCYJSONFileBlobName"]
blob_helper.write_stream_file(storage_container_name, storage_blob_name,
encoded_file)
institutions_file.close()
def main(msgin: func.QueueMessage, msgout: func.Out[str]):
"""Creates the UKRLP lookup tables for later use
This Azure Function carries out the following steps:
* Decompresses the XML HESA DataSet
* Parses the INSTITUTION data from the DataSet
* Retrieves enrichment data from the UKRLP API for each institution
* Creates a lookup item for each Institution and writes it to CosmosDB
* Currently, once completed successfully this function triggers the Etl function by copying
the compressed XML passed in to a Blob storage monitored by the Etl function.
"""
# TODO: apw: Ensure that UseLocalTestXMLFile is set to false in local.settings.json before going live.
use_local_test_XML_file = os.environ.get('UseLocalTestXMLFile')
msgerror = ""
mail_helper = MailHelper()
environment = os.environ["Environment"]
dsh = DataSetHelper()
try:
logging.info(f"CreateUkrlp message queue triggered")
function_start_datetime = datetime.today().strftime(
"%d-%m-%Y %H:%M:%S")
logging.info(
f"CreateUkrlp function started on {function_start_datetime}")
blob_helper = BlobHelper()
storage_container_name = os.environ["AzureStorageHesaContainerName"]
storage_blob_name = os.environ["AzureStorageHesaBlobName"]
if use_local_test_XML_file:
mock_xml_source_file = open(os.environ["LocalTestXMLFile"], "r")
xml_string = mock_xml_source_file.read()
else:
xml_string = blob_helper.get_str_file(storage_container_name,
storage_blob_name)
version = dsh.get_latest_version_number()
storage_container_name = os.environ[
"AzureStorageWelshUnisContainerName"]
storage_blob_name = os.environ["AzureStorageWelshUnisBlobName"]
csv_string = blob_helper.get_str_file(storage_container_name,
storage_blob_name)
# Parse the xml and create the lookups
logging.info(f"using version number: {version}")
dsh.update_status("institutions", "in progress")
lookup_creator = LookupCreator(xml_string, csv_string, version)
ukrlp_no_info_list = lookup_creator.create_ukrlp_lookups()
msgerror += f"\n\nUKRLP did not return info for the following {len(ukrlp_no_info_list)} ukprn(s):\n"
for ukprn in ukrlp_no_info_list:
msgerror += f"\t{ukprn}\n"
function_end_datetime = datetime.today().strftime("%d-%m-%Y %H:%M:%S")
logging.info(
f"CreateUkrlp successfully finished on {function_end_datetime}")
msgout.set(msgin.get_body().decode("utf-8") + msgerror)
except Exception as e:
# Unexpected exception
function_fail_datetime = datetime.today().strftime("%d-%m-%Y %H:%M:%S")
function_fail_date = datetime.today().strftime("%d.%m.%Y")
mail_helper.send_message(
f"Automated data import failed on {function_fail_datetime} at CreateUkrlp"
+ msgin.get_body().decode("utf-8") + msgerror,
f"Data Import {environment} - {function_fail_date} - Failed")
logging.error(f"CreateUkrlp faile on {function_fail_datetime}")
logging.error(traceback.format_exc())
# Raise to Azure
raise e
def main(msgin: func.QueueMessage, msgout: func.Out[str]):
# TODO: apw: Ensure that UseLocalTestXMLFile is set to false in local.settings.json before going live.
use_local_test_XML_file = os.environ.get('UseLocalTestXMLFile')
msgerror = ""
mail_helper = MailHelper()
environment = os.environ["Environment"]
dsh = DataSetHelper()
try:
logging.info(f"CreateInst message queue triggered\n")
function_start_datetime = datetime.today().strftime(
"%d-%m-%Y %H:%M:%S")
logging.info(
f"CreateInst function started on {function_start_datetime}")
""" DECOMPRESSION - Decompress the compressed HESA XML """
# The XML blob provided to this function will be gzip compressed.
# This is a work around for a limitation discovered in Azure,
# where Functions written in Python do not get triggered # correctly with large blobs. Tests showed this is not a limitation
# with Funtions written in C#.
blob_helper = BlobHelper()
storage_container_name = os.environ["AzureStorageHesaContainerName"]
storage_blob_name = os.environ["AzureStorageHesaBlobName"]
if use_local_test_XML_file:
mock_xml_source_file = open(os.environ["LocalTestXMLFile"], "r")
xml_string = mock_xml_source_file.read()
else:
xml_string = blob_helper.get_str_file(storage_container_name,
storage_blob_name)
version = dsh.get_latest_version_number()
""" LOADING - extract data and load JSON Documents """
logging.info(f"using version number: {version}")
dsh.update_status("institutions", "in progress")
inst_docs = InstitutionDocs(xml_string, version)
inst_docs.create_institution_docs()
dsh.update_status("institutions", "succeeded")
function_end_datetime = datetime.today().strftime("%d-%m-%Y %H:%M:%S")
logging.info(
f"CreateInst successfully finished on {function_end_datetime}")
msgout.set(msgin.get_body().decode("utf-8") + msgerror)
except exceptions.StopEtlPipelineWarningException:
# A WARNING is raised while the function is running and
# StopEtlPipelineOnWarning=True. For example, the incoming raw XML
# is not valid against its XSD
error_message = (
"A WARNING has been encountered while the function is running. "
"The function will be stopped since StopEtlPipelineOnWarning is "
"set to TRUE in the Application Settings.")
logging.error(error_message)
function_fail_datetime = datetime.today().strftime("%d-%m-%Y %H:%M:%S")
function_fail_date = datetime.today().strftime("%d.%m.%Y")
mail_helper.send_message(
f"Automated data import failed on {function_fail_datetime} at CreateInst"
+ msgin.get_body().decode("utf-8") + msgerror,
f"Data Import {environment} - {function_fail_date} - Failed")
logging.error(f"CreateInst failed on {function_fail_datetime}")
dsh.update_status("institutions", "failed")
raise Exception(error_message)
except Exception as e:
# Unexpected exception
dsh.update_status("institutions", "failed")
function_fail_datetime = datetime.today().strftime("%d-%m-%Y %H:%M:%S")
function_fail_date = datetime.today().strftime("%d.%m.%Y")
mail_helper.send_message(
f"Automated data import failed on {function_fail_datetime} at CreateInst"
+ msgin.get_body().decode("utf-8") + msgerror,
f"Data Import {environment} - {function_fail_date} - Failed")
logging.error(f"CreateInst failed on {function_fail_datetime}",
exc_info=True)
# Raise to Azure
raise e
def __init__(self):
self.dsh = DataSetHelper()
def main(msgin: func.QueueMessage):
msgerror = ""
mail_helper = MailHelper()
environment = os.environ["Environment"]
dsh = DataSetHelper()
try:
logging.info(
f"CourseSearchBuilder message queue triggered \n"
)
function_start_datetime = datetime.today().strftime("%d-%m-%Y %H:%M:%S")
logging.info(
f"CourseSearchBuilder function started on {function_start_datetime}"
)
api_key = os.environ["SearchAPIKey"]
search_url = os.environ["SearchURL"]
api_version = os.environ["AzureSearchAPIVersion"]
version = dsh.get_latest_version_number()
dsh.update_status("search", "in progress")
search.build_synonyms(search_url, api_key, api_version)
search.build_index(search_url, api_key, api_version, version)
courses = utils.get_courses_by_version(version)
number_of_courses = len(courses)
logging.info(
f"attempting to load courses to azure search\n\
number_of_courses: {number_of_courses}\n"
)
search.load_index(search_url, api_key, api_version, version, courses)
dsh.update_status("search", "succeeded")
courses = None
if dsh.have_all_builds_succeeded():
build_institutions_json_files()
build_subjects_json_file()
build_version_json_file()
dsh.update_status("root", "succeeded")
else:
dsh.update_status("root", "failed")
function_end_datetime = datetime.today().strftime("%d-%m-%Y %H:%M:%S")
function_end_date = datetime.today().strftime("%d.%m.%Y")
mail_helper.send_message(
f"Automated data import completed on {function_end_datetime}" + msgin.get_body().decode("utf-8") + msgerror,
f"Data Import {environment} - {function_end_date} - Completed"
)
logging.info(
f"CourseSearchBuilder successfully finished on {function_end_datetime}"
)
except Exception as e:
# Unexpected exception
dsh.update_status("search", "failed")
dsh.update_status("root", "failed")
function_fail_datetime = datetime.today().strftime("%d-%m-%Y %H:%M:%S")
function_fail_date = datetime.today().strftime("%d.%m.%Y")
mail_helper.send_message(
f"Automated data import failed on {function_fail_datetime} at CourseSearchBuilder" + msgin.get_body().decode("utf-8") + msgerror,
f"Data Import {environment} - {function_fail_date} - Failed"
)
logging.error(f"CourseSearchBuilder failed on {function_fail_datetime}")
logging.error(traceback.format_exc())
# Raise to Azure
raise e