feat(tests): add RabbitMQHandler class tests

This commit is contained in:
francisco.schulz 2024-07-11 14:46:41 -04:00
parent cc25a20c24
commit 5ff65f2cf4

View File

@ -1,4 +1,6 @@
import asyncio
import gzip
from operator import itemgetter
from typing import Any, Callable, Dict, Set
import aiohttp
from aio_pika import connect_robust, ExchangeType, Message, IncomingMessage
@ -6,7 +8,7 @@ from aio_pika.abc import AbstractIncomingMessage
import json
from logging import getLogger
from pyinfra.config.loader import load_settings, local_pyinfra_root_path
import requests
from pyinfra.storage.storages.s3 import get_s3_storage_from_settings
logger = getLogger(__name__)
logger.setLevel("DEBUG")
@ -65,7 +67,7 @@ class RabbitMQHandler:
message_body = json.loads(message.body.decode())
print(message_body)
logger.debug(f"input message: {message_body}")
tenant_id = message_body["queue_name"]
tenant_id = message_body["tenantId"]
routing_key = message.routing_key
if routing_key == "tenant.create":
@ -125,11 +127,7 @@ class RabbitMQHandler:
if result:
# Publish the result to the output exchange
await self.output_exchange.publish(
Message(body=json.dumps(result).encode(), headers=filtered_message_headers),
routing_key=tenant_id,
)
logger.info(f"Published result to queue {tenant_id}.")
self.publish_to_output_exchange(tenant_id, result, filtered_message_headers)
except json.JSONDecodeError:
logger.error(f"Invalid JSON in input message: {message.body}")
@ -142,6 +140,13 @@ class RabbitMQHandler:
# Message will be nacked and sent to dead-letter queue
raise
async def publish_to_output_exchange(self, tenant_id: str, result: Dict[str, Any], headers: Dict[str, Any]):
await self.output_exchange.publish(
Message(body=json.dumps(result).encode(), headers=headers),
routing_key=tenant_id,
)
logger.info(f"Published result to queue {tenant_id}.")
async def fetch_active_tenants(self) -> Set[str]:
try:
async with aiohttp.ClientSession() as session:
@ -181,9 +186,114 @@ async def main():
"client_properties": {"heartbeat": settings.rabbitmq.heartbeat},
}
tenant_service_url = "http://localhost:8080/internal/tenants"
handler = RabbitMQHandler(connection_params, tenant_service_url)
handler = RabbitMQHandler(connection_params, tenant_service_url, dummy_message_processor)
await handler.run()
########################################################################
def upload_json_and_make_message_body(tenant_id: str) -> Dict[str, Any]:
dossier_id, file_id, suffix = "dossier", "file", "json.gz"
content = {
"numberOfPages": 7,
"sectionTexts": "data",
}
object_name = f"{tenant_id}/{dossier_id}/{file_id}.{suffix}"
data = gzip.compress(json.dumps(content).encode("utf-8"))
storage = get_s3_storage_from_settings(settings)
if not storage.has_bucket():
storage.make_bucket()
storage.put_object(object_name, data)
message_body = {
"tenantId": tenant_id,
"dossierId": dossier_id,
"fileId": file_id,
"targetFileExtension": suffix,
"responseFileExtension": f"result.{suffix}",
}
return message_body
def tenant_event_message(tenant_id: str) -> Dict[str, str]:
return {"tenantId": tenant_id}
async def dummy_message_processor(message: Dict[str, Any]) -> Dict[str, Any]:
logger.info(f"Processing message: {message}")
await asyncio.sleep(1) # Simulate processing time
storage = get_s3_storage_from_settings(settings)
tenant_id, dossier_id, file_id = itemgetter("tenantId", "dossierId", "fileId")(message)
suffix = message["responseFileExtension"]
# Simulate processing by modifying the original content
object_name = f"{tenant_id}/{dossier_id}/{file_id}.{message['targetFileExtension']}"
original_content = json.loads(gzip.decompress(storage.get_object(object_name)))
processed_content = {
"processedPages": original_content["numberOfPages"],
"processedSectionTexts": f"Processed: {original_content['sectionTexts']}",
}
# Save processed content
processed_object_name = f"{tenant_id}/{dossier_id}/{file_id}.{suffix}"
processed_data = gzip.compress(json.dumps(processed_content).encode("utf-8"))
storage.put_object(processed_object_name, processed_data)
processed_message = message.copy()
processed_message["processed"] = True
processed_message["processor_message"] = "This message was processed by the dummy processor"
logger.info(f"Finished processing message. Result: {processed_message}")
return processed_message
async def test_rabbitmq_handler():
connection_params = {
"host": settings.rabbitmq.host,
"port": settings.rabbitmq.port,
"login": settings.rabbitmq.username,
"password": settings.rabbitmq.password,
"client_properties": {"heartbeat": settings.rabbitmq.heartbeat},
}
tenant_service_url = "http://localhost:8080/internal/tenants"
handler = RabbitMQHandler(connection_params, tenant_service_url, dummy_message_processor)
await handler.connect()
await handler.setup_tenant_queue()
# Test tenant creation
tenant_id = "test_tenant"
create_message = tenant_event_message(tenant_id)
await handler.tenant_exchange.publish(
Message(body=json.dumps(create_message).encode()), routing_key="tenant.create"
)
logger.info(f"Sent create tenant message for {tenant_id}")
# Wait for tenant queue creation
await asyncio.sleep(2)
# Test service request
service_request = upload_json_and_make_message_body(tenant_id)
await handler.input_exchange.publish(Message(body=json.dumps(service_request).encode()), routing_key=tenant_id)
logger.info(f"Sent service request for {tenant_id}")
# Wait for message processing
await asyncio.sleep(5)
# Test tenant deletion
delete_message = tenant_event_message(tenant_id)
await handler.tenant_exchange.publish(
Message(body=json.dumps(delete_message).encode()), routing_key="tenant.delete"
)
logger.info(f"Sent delete tenant message for {tenant_id}")
# Wait for tenant queue deletion
await asyncio.sleep(2)
await handler.connection.close()
if __name__ == "__main__":
asyncio.run(main())
asyncio.run(test_rabbitmq_handler())