From c5af75c6c771488975d0ef938df03806846b43f5 Mon Sep 17 00:00:00 2001 From: Devansh Modi Date: Fri, 16 Aug 2024 16:31:59 -0500 Subject: [PATCH 1/2] deleted duplicate dataflow jobs --- .../dataflow_gcs_to_hl7v2store/README.md | 105 +++++ .../dataflow_gcs_to_hl7v2store.py | 363 ++++++++++++++++++ .../dataflow_runner_commands.txt | 19 + .../images/dataflow_dag_gcs_to_hl7v2store.png | Bin 0 -> 122329 bytes .../dataflow_gc_to_hcapi_architecture.png | Bin 0 -> 194180 bytes .../dataflow_gcs_to_hl7v2store/my_message.hl7 | 8 + .../requirements.txt | 5 + 7 files changed, 500 insertions(+) create mode 100644 utilities/ingest/dataflow_gcs_to_hl7v2store/README.md create mode 100644 utilities/ingest/dataflow_gcs_to_hl7v2store/dataflow_gcs_to_hl7v2store.py create mode 100644 utilities/ingest/dataflow_gcs_to_hl7v2store/dataflow_runner_commands.txt create mode 100644 utilities/ingest/dataflow_gcs_to_hl7v2store/images/dataflow_dag_gcs_to_hl7v2store.png create mode 100644 utilities/ingest/dataflow_gcs_to_hl7v2store/images/dataflow_gc_to_hcapi_architecture.png create mode 100644 utilities/ingest/dataflow_gcs_to_hl7v2store/my_message.hl7 create mode 100644 utilities/ingest/dataflow_gcs_to_hl7v2store/requirements.txt diff --git a/utilities/ingest/dataflow_gcs_to_hl7v2store/README.md b/utilities/ingest/dataflow_gcs_to_hl7v2store/README.md new file mode 100644 index 00000000..bb0f0047 --- /dev/null +++ b/utilities/ingest/dataflow_gcs_to_hl7v2store/README.md @@ -0,0 +1,105 @@ +# DataFlow Google Cloud Storgae to Healthcare API HL7v2 Store Dataflow Streaming Pipeline + +The goal of this DataFlow streaming pipeline (Classic standalone deployment) is to consume messages via notifications from Google Cloud Storage , transform and seperate each Hl7v2 message, encode and POST to Hl7v2 store for further transformation Healthcare API Hl7v2 Store (HCAPI Hl7V2 Store) for further processing. ingestion via Heathcare Data Engine or standalone FHIR Store which can be used for downstream application. +This solution is built using Google Cloud tools and services, such as Google Cloud Dataflow, Google Cloud Secret Manager, Google Cloud Healthcare API Hl7v2 Store and Google Cloud Storage. +This pipeline will help users accelerate deploying streaming data pipelines from Google Cloud Storgae to Healthcare API HL7v2 Store enabling users to transform and store their Hl7V2 messages via streaming pipeline. + + +# Architecture for the Pipeline is shown below + + ![Log output image](./images/dataflow_gc_to_hcapi_architecture.png) + +## Products/tools used for the pipeline + +# Google Cloud Pub/Sub +Overview: Pub/Sub is an asynchronous and scalable messaging service that decouples services producing messages from services processing those messages. +Usage: Vendors/Application (web UI, Mobile Apps, etc.) will send healthcare data events in JSON format to Pub/Sub topic + +# Google Cloud Dataflow +Overview: Dataflow is a managed service for executing a wide variety of data processing patterns. The documentation on this site shows you how to deploy your batch and streaming data processing pipelines using Dataflow, including directions for using service features. +Usage: Dataflow will read raw healthcare data events in JSON format, parse and transform them into appropriate FHIR resources as per US Core Implementation Guide. For the sake of this example we will be creating a Patient FHIR resource. + +# Google Cloud Healthcare API +Overview: The Cloud Healthcare API FHIR Store is a fully-managed service that makes it easy to access, process, and analyze healthcare data. It provides a RESTful API that supports a wide range of healthcare data formats, including FHIR, HL7v2, and DICOM.\n +The Cloud Healthcare API FHIR Store is a secure and reliable service that is compliant with HIPAA and HITECH. \n +Usage: HCAPI will be used to store transformed FHIR resources (in our case Patient FHIR resource)which will be made available for downstream applications or other processes. + +# Google Cloud Storage +Usage: Google Cloud Storage will be used to archive raw healthcare data sent by the source as well as log error message occurred during transformation or while posting FHIR resource to HCAPI + + +## Prerequisites before cloning the repository +1. Create a Google Cloud Project and set up appropriate billing and IAM permissions. Refer to the following [link](https://developers.google.com/workspace/guides/create-project) for more information on how to create a GCP project. +2. Create a GCS Input and Error bucket. Refer to the following [link](https://cloud.google.com/storage/docs/creating-buckets) for more information on how to create a GCS bucket. +3. Create a GCS bucket event notification to Google Cloud Pub/Sub [link](https://cloud.google.com/storage/docs/reporting-changes) +4. Create a Hl7v2 Store using Healthcare API. Refer to the following [link](https://cloud.google.com/healthcare-api/docs/how-tos/hl7v2) for more information on how to create a HL7v2 Store and set up necessary permissions. +6. Understand the HL7 messages and types of HL7 messages. Refer to the following [link](https://www.interfaceware.com/hl7-message-structure#:~:text=HL7%20Messages%20are%20used%20to,require%20some%20effort%20to%20interpret.) for more information. + + +# Step by Step workflow + +1. Create necessary GCS Bucket, Pub/Sub topic and Hl7v2 Store Store as mentioned in the Prerequisites section. + +2. We will use the following parameter values as an example, + 1. GCP Project: demo-project + 2. GCS Bucket :- + 1. gcs_input_bucket - gs://dev-input-hl7 + 2. gcs_error_bucket - gs://dev-error-hl7 + 3. Pub/Sub Topic: projects/demo-project/topics/dev-hl7-input + 4. Pub/Sub Subscription (will be created by default): projects/demo-project/subscriptions/projects/hl7-input-sub + 5. Healthcare API Dataset: hdev2 + 6. Healthcare API FHIR Store: hl7-poc + +3. We will use the following Hl7 Message payload for our example as an input which contains details such as Address, name, gender, etc This message will be stored in file my_message.hl7 on Google Cloud Storage bucket + ``` + MSH|^~\\&|FROM_APP|FROM_FACILITY|TO_APP|TO_FACILITY|20150503223000||ADT^A01|20150503223000|P|2.5|\r + EVN|A01|20110613083617|\r + PID|1||21004053^^^^MRN||SULLY^BRIAN||19611209|M|||123 MAIN ST^^MOUNTAIN SPRINGS^CO^80439|\r + PV1||I|H73 RM1^1^^HIGHWAY 73 CLINIC||||5148^MARY QUINN|||||||||Y||||||||||||||||||||||||||||20150503223000|\r + MSH|^~\\&|FROM_APP|FROM_FACILITY|TO_APP|TO_FACILITY|19960808223000||ORU^A01| 19960808223000 |P|3.5|\r + EVN|A01|20020713083617|\r + PID|1||2786167615^^^^MRN||LOBO^CAREO||200611209|M|||93 JEFFERSON AVENUE^^JERSEY CITY^NJ^03690|\r + PV1||I|H73 RM1^1^^FREEWAY 84 CLINIC||||987^WILLOVE HYSI|||||||||Y|||||||||||||||||||||||||||| 19960808223000 |\r + ``` + +4. Message will be encoded and sent to Hl7v2 store. Refer to the following for more response [link](https://cloud.google.com/healthcare-api/docs/how-tos/hl7v2-messages#ingesting_hl7v2_messages) + +5. Before triggering Dataflow Job, Refer to the following [link](https://cloud.google.com/dataflow/docs/quickstarts/create-pipeline-python) on how to set up a GCP environment for running a Dataflow job using Python. + +6. Below mentioned python command shows an example of triggering a dataflow streaming job with pre-defined parameters and values set an example + ``` + python3 dataflow_gcs_to_hl7v2store.py \ + --runner DataflowRunner \ + --project surjitsh-sandbox-348315 \ + --region us-central1 \ + --temp_location gs://xyz/tmp/ \ + --no_use_public_ips \ + --subnet regions/us-central1/subnetworks/default \ + --read_pubsub_subscription 'projects/demo/subscriptions/hl7-input-sub' \ + --gcs_error_bucket 'dev-hl7-error' \ + --hcapi_project_id 'demo' \ + --hcapi_dataset 'hdev2' \ + --hcapi_version 'v1' \ + --hcapi_location 'us' \ + --hcapi_hl7_store 'hl7-poc' \ + --hcapi_fhir_store 'harmonized-fhir-store' \ + --max_num_workers 5 \ + --streaming True \ + --save_main_session True \ + --requirements_file requirements.txt + ``` +7. After triggering the job the dataflow will generate a Dataflow DAG + + ![Log output image](./images/dataflow_dag_gcs_to_hl7v2store.png) + +8. Uplaod file to GCS bucket and it trigger pubsub notification + +9. Dataflow will read the message from Google Cloud Pub/SUb, validate, transform and encode hl7 raw message, archive it into GCS bucket and post the message to HCAPI Hl7v2 store. + +10. Monitor the logs to check the sample message IDs from the hl7v2 store. + +10. Drain the pipeline and stop the Dataflow job to avoid unwanted utilization of resources. + + +**Note: The above example shows the leveraging Dataflow job to ingest Hl7v2 messages, transformand POST them to HCAPI. Please update/edit the code based on your custom transformations and business requirements.** + diff --git a/utilities/ingest/dataflow_gcs_to_hl7v2store/dataflow_gcs_to_hl7v2store.py b/utilities/ingest/dataflow_gcs_to_hl7v2store/dataflow_gcs_to_hl7v2store.py new file mode 100644 index 00000000..abb26868 --- /dev/null +++ b/utilities/ingest/dataflow_gcs_to_hl7v2store/dataflow_gcs_to_hl7v2store.py @@ -0,0 +1,363 @@ +#Importing Necessary Libraries +import google.auth +import google.auth.transport.requests +import requests +import time +import json +import logging +import base64 +from requests.adapters import HTTPAdapter +from requests.packages.urllib3.util.retry import Retry +import apache_beam as beam +from apache_beam import pvalue +from apache_beam.options.pipeline_options import PipelineOptions +from apache_beam.options.pipeline_options import SetupOptions +from apache_beam import io +from datetime import datetime, timedelta +import argparse +import google + +logging.basicConfig(level=logging.INFO, format='%(asctime)s :: %(levelname)s :: %(message)s') + +class hcapi_hl7_store: + + def __init__(self, args:dict): + self.hcapi_hl7_store = str(args['hcapi_hl7_store']) + self.hcapi_project_id = str(args['hcapi_project_id']) + self.hcapi_version = str(args['hcapi_version']) + self.hcapi_location = str(args['hcapi_location']) + self.hcapi_dataset = str(args['hcapi_dataset']) + self.token = None + + # def google_api_headers(self): + # """ This function gets access tokens and authorizations\ + # to access cloud healthcare API Fhir store""" + # creds, project = google.auth.default() + # auth_req = google.auth.transport.requests.Request() + # creds.refresh(auth_req) + # authToken = creds.token + # authHeaders = { + # "Authorization": f"Bearer {authToken}", + # "Prefer": "handling=strict" + # } + # return authHeaders + + def hcapi_dataset_url(self, version: str =None, project: str=None, location: str=None, dataset: str=None): + """ This function creates base hcapi dataset url and returns it """ + """ + :param str version: HCAPI version from arguments passed + :param str project: HCAPI project from arguments passed + :param str location: HCAPI location from arguments passed + :param str dataset: HCAPI dataset from arguments passed + :return str hcapiDatasetURL: HCAPI dataset url build + """ + base = "https://healthcare.googleapis.com" + version = self.hcapi_version + project = self.hcapi_project_id + location = self.hcapi_location + dataset = self.hcapi_dataset + hcapiDatasetURL = f"{base}/{version}/projects/{project}/locations/{location}/datasets/{dataset}" + return hcapiDatasetURL + + def createRequestSession(self): + """Creating request session to try GET/POST requests using below force list""" + reqSession = requests.Session() + retries = Retry(total=3, + backoff_factor=2, + status_forcelist=[429, 500, 502, 503, 504, 400, 404, 401]) + + reqSession.mount('http://', HTTPAdapter(max_retries=retries)) + return reqSession + + + def hcapi_delete(self, url): + """ Function to send delete request to HCAPI """ + response = requests.delete(url, headers=self.google_api_headers()) + if not response.ok: + raise Exception(f'Error with HC API get:\n{response.text}') + return response.json() + + def hcapi_hl7_url(self, version: str =None, project: str=None, location: str=None, dataset: str=None,store: str= None): + """ This function creates hcapi hl7V2store url and returns the url """ + """ + :param str version: HCAPI version from arguments passed + :param str project: HCAPI project from arguments passed + :param str location: HCAPI location from arguments passed + :param str dataset: HCAPI dataset from arguments passed + :param str store: HCAPI FHIR store from arguments passed + :return str hcapiHL7Url: HCAPI dataset url build + """ + hcapiDatasetURL = self.hcapi_dataset_url(version=version, project=project, + location=location, dataset=dataset) + if store is None: + raise Exception("No HL7V2 store specified") + else: + hl7_store = store + hcapiHL7Url = f'{hcapiDatasetURL}/hl7V2Stores/{hl7_store}' + return hcapiHL7Url + + def hcapi_get(self, url:str): + """ This function to get HL7 Message from specified HL7V2 store""" + """ + :param str url: HCAPI HL7 URL to fetch data + :return dict responseJSON: response in JSON based on criteria + :return str responseFlag: repsonse status pass or fail + """ + try: + responseFlag = "success" + reqSession = self.createRequestSession() + logging.info("creating headers with new token for HCAPI HL7V2 store GET request") + creds, project = google.auth.default() + auth_req = google.auth.transport.requests.Request() + creds.refresh(auth_req) + authToken = creds.token + authHeaders = { + "Authorization": f"Bearer {authToken}", + "Prefer": "handling=strict" + } + logging.info("Fetching HL7V2 Message from HCAPI HL7V2 store") + response = reqSession.get(url, headers=authHeaders,timeout=30) + response.raise_for_status() + responseJSON = response.json() + except Exception as error: + reqSession.close() + responseFlag = "fail" + logging.error("process to get HL7 Message failed") + errorMessage = "Process to fetch HL7 Message from HCAPI HL7V2 store failed due to : {}".format(str(type(error).__name__)+" --> "+ str(error)) + responseJSON = dict() + responseJSON['errorMessage'] = errorMessage + return responseJSON,responseFlag + else: + reqSession.close() + return responseJSON,responseFlag + + def hcapi_post(self, url:str, data:dict, source:str): + """ This function to POST HL7 message resource from specified HL7V2 store """ + """ + :param str url: HCAPI HL7V2 store to fetch data + :param str data: JSON payload string + :param str source: specify source whether HL7 or FHIR + :return dict responseJSON: response in JSON based on criteria + :return str responseFlag: repsonse status pass or fail + """ + try: + responseFlag = "success" + logging.info("creating headers with new token for HCAPI HL7V2 store POST request") + creds, project = google.auth.default() + auth_req = google.auth.transport.requests.Request() + creds.refresh(auth_req) + authToken = creds.token + authHeaders = { + "Authorization": f"Bearer {authToken}", + "Prefer": "handling=strict"'message' + } + logging.info("Posting HL7 Message to HCAPI HL7V2 store") + if source == "hl7": + payload_data =data + else: + payload_data =json.loads(data) + reqSession = self.createRequestSession() + response = requests.post(url, headers=authHeaders, json=payload_data,timeout=30) + logging.info("printing response:{}".format(str(response.text))) + response.raise_for_status() + responseJSON = response.json() + except Exception as error: + reqSession.close() + logging.error("process to post HL7 Message failed") + errorMessage = "Process to fetch HL7 Message from HCAPI HL7V2 store failed due to : {}".format(str(type(error).__name__)+" --> "+ str(error)) + responseJSON = dict() + responseJSON['errorMessage'] = errorMessage + responseFlag = "fail" + return responseJSON,responseFlag + else: + reqSession.close() + return responseJSON,responseFlag + + def post_hl7_message(self, message): + """ Function to post messages to HL7V2 store """ + """ + :param str message: HL7 Message to post data + :return dict responseJSON: response in JSON based on criteria + :return str responseFlag: repsonse status pass or fail + """ + messase =str(message) + message = message.replace('\n', '\r') + message = message.replace('\\r', '\r') + message = message.replace('\r\r', '\r') + encoded = base64.b64encode(message.encode()) + # logging.info(f"printing encoded message : {encoded}") + payload = { + "message": { + "data": encoded.decode() + } + } + url = self.hcapi_hl7_url(store=self.hcapi_hl7_store)+'/messages:ingest' + logging.info("posting HL7v2Store using url : {}".format(url)) + postResponse,responseFlag = self.hcapi_post(url=url,data=payload,source = "hl7") + return postResponse,responseFlag + + def get_hl7_message(self, message_id:str): + """ Function to fetch messages from HL7V2 store""" + """ + :param str url_path: FHIR resource URL to get FHIR resource from HCAPI FHIR store + :return dict responseJSON: response in JSON based on criteria + :return str responseFlag: repsonse status pass or fail + """ + url_path=str(url_path) + url = self.hcapi_hl7_url(store=self.hcapi_hl7_store)+f'/messages/{message_id}' + responseJSON, responseFlag = self.hcapi_get(url) + return responseJSON, responseFlag + + +class buildGCSFilePath(beam.DoFn): + """ Class to get file name from variable and returns the filename """ + + def process(self, element): + # TO DO Remove before pushing to Git-Hub + logging.info("printing raw element from pubsub") + logging.info(f"{element}") + logging.info("printing raw data element from pubsub") + rawMessage = json.loads(element.data.decode('utf-8')) + logging.info("printing raw pubsub message : {}".format(json.dumps(rawMessage))) + logging.info("Printing attributes from pubsub message") + messageAttributes = element.attributes + logging.info("printing raw pubsub message : {}".format(json.dumps(messageAttributes))) + gcspath = "gs://"+rawMessage["bucket"]+"/"+rawMessage["name"] + logging.info("Processing the following file: {}".format(str(gcspath))) + yield gcspath + +class buildHL7Message(beam.DoFn): + """ Class to read file, clean and seperate messgaes based on MSH segments """ + failTag = "failRecord" + successTag = "successRecord" + + def process(self, file_path): + try: + logging.info("Starting to read file: {}".format(file_path)) + file = io.gcsio.GcsIO().open(filename=file_path, mode='r') + read_file = file.read() + new_file = str(read_file, encoding='utf-8').replace('\n', '\r') + logging.info("Starting process read HL7 messages from file and building them") + messages=[] + for line in new_file.split('\r'): + if line[:3] =='MSH': + messages.append(line) + else: + messages[-1]+= line + + + logging.info("Total number of messages parsed from the input file are {}".format(len(messages))) + for message in messages: + yield pvalue.TaggedOutput(self.successTag,message) + + except Exception as error : + logging.error("Got the following error while building HL7 Message : {}".format('\n'+str(error))) + errorMessage = "process to build HL7 Message failed while reading from file due to : {}".format(str(type(error).__name__)+" --> "+ str(error)) + errorPayload = dict() + errorPayload['errorMessage'] = errorMessage + errorPayload['rawMessage']= str(file_path) + yield pvalue.TaggedOutput(self.failTag,errorPayload) + +class PostToHL7V2Store(beam.DoFn): + """ DoFn to POST HL7 message to HL7v2 store """ + failTag = "failRecord" + successTag = "successRecord" + + def process(self, element): + try: + logging.info("starting to prepare and post message") + hl7v2_store_response,responseFlag = hcapi.post_hl7_message(element) + message_id = hl7v2_store_response['message']['name'].split("/")[-1] + logging.info("successfully posted message to Hl7v2 store with message id :- {}".format(message_id)) + yield pvalue.TaggedOutput(self.successTag,message_id) + except Exception as error: + logging.error("got the following error while posting message to HL7v2 store : {}".format(error)) + errorMessage = "process to post HL7 Message failed due to : {}".format(str(type(error).__name__)+" --> "+ str(error)) + errorPayload = dict() + errorPayload['errorMessage'] = errorMessage + errorPayload['rawMessage']= str(element) + yield pvalue.TaggedOutput(self.failTag,errorPayload) + +class writeToGCS(beam.DoFn): + """ Class to write raw and errored messages to GCS """ + def process(self, element, bucket, foldername): + """ + write raw / error messages to respective bucket + :param str element: PCollection of message from consumeTransformMessages DoFn + :param str bucket: bucket name + :param str messageType: message type raw or error message + :return: None message written to cloud storage + :rtype: None + """ + #TO DO below logging only for testing purpose delete when deploying to prod + logging.info("printing raw element : {}".format(str(element))) + + currentTimestamp = datetime.now().strftime("%Y-%m-%d-%H%M%S") + if foldername: + folderName= str(foldername)+"-"+str(currentTimestamp) + else: + foldername = "undefined" + folderName= str(foldername)+"-"+str(currentTimestamp) + + #converting incoming element to JSON + # newElement = json.loads(json.dumps(element,separators=(',', ':'))) + newElement = str(element) + + + if folderName and bucket: + strElement = str(newElement).encode('utf-8') + #Building GCS path based on current timestamp + + gcsPath = f"gs://{bucket}/{folderName}/{str(currentTimestamp[:10])}/{str(currentTimestamp.replace('-',''))}.txt" + file = io.gcsio.GcsIO().open(filename=gcsPath, mode='w', mime_type='application/text') + write_file = file.write(strElement) + logging.info("successfully written message to cloud storage at :- {}".format(gcsPath)) + else: + logging.error("foldername and bucket not mentioned") + +# TO DO: Include PubSub and test the pipeline end to end +def run(argsDict,beam_args,argv=None): + beam_pipeline_options = PipelineOptions(beam_args,streaming=True,save_main_session=True) + read_pubsub_subscription = str(argsDict['read_pubsub_subscription']) + gcs_error_bucket = str(argsDict['gcs_error_bucket']) + + + with beam.Pipeline(options=beam_pipeline_options) as pipeline: + gcsFile = ( + pipeline + | 'readFileNameFromPubSub' >> io.ReadFromPubSub(subscription=read_pubsub_subscription,with_attributes=True) + | 'extractGCSFilePath' >> beam.ParDo(buildGCSFilePath()) + ) + processHL7Message=( + gcsFile + | 'parseHL7Message' >> beam.ParDo(buildHL7Message()).with_outputs() + # | beam.Map(print) + ) + postHL7Message =( + processHL7Message.successRecord + |'PostToHL7V2Store' >> beam.ParDo(PostToHL7V2Store()).with_outputs() + ) + writeFailbuildRecords = ( + processHL7Message.failRecord + | "writeFailBuildRecordsToGCS" >> beam.ParDo(writeToGCS(),bucket=gcs_error_bucket,foldername="build_error") + ) + writeFailPostRecords = ( + processHL7Message.failRecord + | "writeFailPostRecordsToGCS" >> beam.ParDo(writeToGCS(),bucket=gcs_error_bucket,foldername="post_error") + ) + +if __name__ == "__main__": + logging.getLogger().setLevel(logging.INFO) + parser = argparse.ArgumentParser() + parser.add_argument('--read_pubsub_subscription', required=True, help='Pub/Sub Subscription to get GCS filename') + parser.add_argument('--gcs_error_bucket', required=True, help='GCS error bucket to store error messages') + parser.add_argument('--hcapi_project_id', required=True, help='HCAPI project ID') + parser.add_argument('--hcapi_dataset', required=True, help='HCAPI dataset') + parser.add_argument('--hcapi_version', required=True, help='HCAPI Version') + parser.add_argument('--hcapi_location', required=True, help='HCAPI location') + parser.add_argument('--hcapi_hl7_store', required=True, help='HCAPI Hl7v2 store name') + parser.add_argument('--hcapi_fhir_store', required=False, help='HCAPI FHIR Store name') + args, beam_args = parser.parse_known_args() + argsDict = vars(args) + hcapi= hcapi_hl7_store(argsDict) + run(argsDict=argsDict,beam_args=beam_args) diff --git a/utilities/ingest/dataflow_gcs_to_hl7v2store/dataflow_runner_commands.txt b/utilities/ingest/dataflow_gcs_to_hl7v2store/dataflow_runner_commands.txt new file mode 100644 index 00000000..85e7395b --- /dev/null +++ b/utilities/ingest/dataflow_gcs_to_hl7v2store/dataflow_runner_commands.txt @@ -0,0 +1,19 @@ +python3 dataflow_gcs_to_hl7v2store.py \ +--runner DataflowRunner \ +--project surjitsh-sandbox-348315 \ +--region us-central1 \ +--temp_location gs://hh_mls_poc/tmp/ \ +--no_use_public_ips \ +--subnet regions/us-central1/subnetworks/default \ +--read_pubsub_subscription 'projects/surjitsh-sandbox-348315/subscriptions/hl7-input-sub' \ +--gcs_error_bucket 'dev-hl7-error' \ +--hcapi_project_id 'surjitsh-sandbox-348315' \ +--hcapi_dataset 'hdev2' \ +--hcapi_version 'v1' \ +--hcapi_location 'us' \ +--hcapi_hl7_store 'hl7-poc' \ +--hcapi_fhir_store 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b/utilities/ingest/dataflow_gcs_to_hl7v2store/my_message.hl7 new file mode 100644 index 00000000..8904659c --- /dev/null +++ b/utilities/ingest/dataflow_gcs_to_hl7v2store/my_message.hl7 @@ -0,0 +1,8 @@ +MSH|^~\\&|FROM_APP|FROM_FACILITY|TO_APP|TO_FACILITY|20150503223000||ADT^A01|20150503223000|P|2.5|\r +EVN|A01|20110613083617|\r +PID|1||21004053^^^^MRN||SULLY^BRIAN||19611209|M|||123 MAIN ST^^MOUNTAIN SPRINGS^CO^80439|\r +PV1||I|H73 RM1^1^^HIGHWAY 73 CLINIC||||5148^MARY QUINN|||||||||Y||||||||||||||||||||||||||||20150503223000|\r +MSH|^~\\&|FROM_APP|FROM_FACILITY|TO_APP|TO_FACILITY|19960808223000||ORU^A01| 19960808223000 |P|3.5|\r +EVN|A01|20020713083617|\r +PID|1||2786167615^^^^MRN||LOBO^CAREO||200611209|M|||93 JEFFERSON AVENUE^^JERSEY CITY^NJ^03690|\r +PV1||I|H73 RM1^1^^FREEWAY 84 CLINIC||||987^WILLOVE HYSI|||||||||Y|||||||||||||||||||||||||||| 19960808223000 |\r \ No newline at end of file diff --git a/utilities/ingest/dataflow_gcs_to_hl7v2store/requirements.txt b/utilities/ingest/dataflow_gcs_to_hl7v2store/requirements.txt new file mode 100644 index 00000000..5b821bc2 --- /dev/null +++ b/utilities/ingest/dataflow_gcs_to_hl7v2store/requirements.txt @@ -0,0 +1,5 @@ +google-cloud-secret-manager +apache-beam[gcp] +requests +google-auth +google \ No newline at end of file From 3da461592ad55ef2cb741210d55d266070e6fef5 Mon Sep 17 00:00:00 2001 From: Devansh Modi Date: Tue, 20 Aug 2024 15:12:57 -0500 Subject: [PATCH 2/2] updated readme --- utilities/README.md | 1 + 1 file changed, 1 insertion(+) diff --git a/utilities/README.md b/utilities/README.md index ef470888..8160c085 100644 --- a/utilities/README.md +++ b/utilities/README.md @@ -6,6 +6,7 @@ The healthcare toolkit is designed to guide customers with various data movement 1. [Kafka to FHIR Store](https://github.com/GoogleCloudPlatform/healthcare/tree/master/utilities/ingest/dataflow_kafka_to_fhirstore) - Consumes healthcare messages in a JSON format sent via Apache Kafka, transform and write to Google Cloud Healthcare API FHIR store. 2. [Pub/Sub to FHIR Store](https://github.com/GoogleCloudPlatform/healthcare/tree/master/utilities/ingest/dataflow_pubsub_to_fhirstore) - Consumes healthcare messages in JSON format sent via Pub/Sub, transform and write to Google Cloud Healthcare API FHIR store. 3. [HL7V2 to HL7V2](https://github.com/GoogleCloudPlatform/healthcare/tree/master/utilities/ingest/dataflow_hl7v2_to_hl7v2) - Consumes HL7 V2 messages from a Google Cloud Healthcare API hl7V2Store and writes them to another Google Cloud Healthcare API hl7V2Store. +4. [GCS HL7 Message to HCAPI HL7V2 store ](https://github.com/GoogleCloudPlatform/healthcare/tree/master/utilities/ingest/dataflow_gcs_to_hl7v2store) - Consumes HL7 V2 messages from a Google Cloud Storage, tranform, encode and writes them to Google Cloud Healthcare API hl7V2Store. ## Consume 1. [FHIR Store to GCS](https://github.com/GoogleCloudPlatform/healthcare/tree/master/utilities/consume/dataflow_fhirstore_bq_consume) - Consumes a notification containing FHIR resources in the JSON format along with attributes from Google Cloud Healthcare FHIR Store, reads the latest messages from BigQuery, transforms it and writes the message to GCS.