Google PubSub does not trigger Function with each new message - google-cloud-platform

Question

I have a Google PubSub stream that has a set of addresses added to it each day. I want each of these addresses processed by a triggered Google Cloud Function. However, what I have seen is that each address is only processed once even though there is a new message added to the stream each day.
My question is, if the same value is added to a stream each day will it be processed as a new message? Or will it be treated as a duplicate message?
This is the scenario I am seeing. Each day the locations Cloud Function is triggered and publishes each location to the locations topic. Most of the time these are the same messages as the previous day. The only time they change is if a location closes or there is a new one added. However, what I see is that many of the locations messages are never picked up by the location_metrics Cloud Function.
The flow of the functions is like this:
Topic is triggered each day at 2a (called locations_trigger) > triggers locations Cloud Function > sends to locations topic > triggers location_metrics Cloud Function > sends to location_metrics topic
For the locations Cloud Function, it is triggered and returns all addresses correctly then sends them to the locations topic. I won't put the whole function here because there are no problems with it. For each location it retrieves there is a "publish successful" message in the log. Here is the portion that sends the location details to the topic.
project_id = "project_id"
topic_name = "locations"
topic_id = "projects/project_id/topics/locations"
publisher = pubsub_v1.PublisherClient()
topic_path = publisher.topic_path(project_id, topic_name)
try:
publisher.publish(topic_path, data=location_details.encode('utf-8'))
print("publish successful: ", location)
except Exception as exc:
print(exc)
An example location payload that is sent is:
{"id": "accounts/123456/locations/123456", "name": "Business 123 Main St Somewhere NM 10010"}
The location_metrics function looks like:
def get_metrics(loc):
request_body = {
"locationNames": [ loc['id'] ],
"basicRequest" : {
"metricRequests": [
{
"metric": 'ALL',
"options": ['AGGREGATED_DAILY']
}
],
"timeRange": {
"startTime": start_time_range,
"endTime": end_time_range,
},
}
}
request_url = <request url>
report_insights_response = http.request(request_url, "POST", body=json.dumps(request_body))
report_insights_response = report_insights_response[1]
report_insights_response = report_insights_response.decode().replace('\\n','')
report_insights_json = json.loads(report_insights_response)
<bunch of logic to parse the right metrics, am not including because this runs in a separate manual script without issue>
my_data = json.dumps(my_data)
project_id = "project_id"
topic_name = "location-metrics"
topic_id = "projects/project_id/topics/location-metrics"
publisher = pubsub_v1.PublisherClient()
topic_path = publisher.topic_path(project_id, topic_name)
print("publisher: ", publisher)
print("topic_path: ", topic_path)
try:
publisher.publish(topic_path, data=gmb_data.encode('utf-8'))
print("publish successful: ", loc['name'])
except Exception as exc:
print("topic publish failed: ", exc)
def retrieve_location(event, context):
auth_flow()
message_obj = event.data
message_dcde = message_obj.decode('utf-8')
message_json = json.loads(message_dcde)
get_metrics(message_json)