Heiko Braun heiko-braun

Prompt Structure Template

1. Using XML-style Tags for Clear Boundaries

<instructions>
Your task is to analyze customer data and generate insights.
Follow these rules:
- Maintain data types as specified
- Handle missing fields gracefully

Schema Docs


Type	`object`
Required	No
Additional properties	[Not allowed]

Details

Some examples taken from stack overflow:

Keywords: Apache Camel | AWS S3 | file handling | chunking | Java

Messages

user: I want to read a local file, create equal chunks and store in AWS S3. Can you show me how to do that?

assistant: To read a local file, create equal chunks, and store them in AWS S3 using Apache Camel, you can use a combination of file handling, chunking, and the AWS S3 component in your Camel route.

Here's an outline of the steps to achieve this:

Read the local file using the file component.

Messages

user: I am using apache camel 2.18.0 version. I am using seda queue with concurrent consumers option. What I am looking for is a way to control how long a message can remain in the queue itself. For ex: Say a timeout configuration is set for 2 min, and once the message reached the queue, if it stays for more than 2 min, exception should be thrown. In seda documentation this timeout property is available for ex: from("direct:start").to("seda:queue?timeout=120000"); // 2 minutes (in milliseconds) But this means message should reach the queue in 2min. So, if there is no such property to cause timeout on message age in a queue, is it true that Messages can stay in the queue until they are dequeued for processing? If I want to control how long messages can stay in the queue, I may need to implement custom logic in application to periodically check and remove messages from the queue if they exceed a

Messages

user: This is my route from("sftp://userName:password@ip:22/?move=.done") .routeId("my-route-1") . How to avoid processing the same files incase of multiple instances?

assistant: To avoid processing the same files in case of multiple instances, you can use the "idempotent" read lock feature in Apache Camel's SFTP component. This feature uses an "idempotent repository" to keep track of the files that have already been processed and prevents them from being processed again.

Here's an example of how to configure the "idempotent" read lock using Java DSL and the maven artifact reference for the necessary Camel SFTP dependency:

	locustfile = locustfile.py
	headless = true
	expect-workers = 5
	processes = 5
	host = https://litellm.host/
	users = 200
	spawn-rate = 10
	run-time = 5m
	csv = out

	from locust import HttpUser, task, between
	from dotenv import load_dotenv
	import os
	import urllib3
	import uuid
	urllib3.disable_warnings(urllib3.exceptions.InsecureRequestWarning)

	load_dotenv()

	class MyUser(HttpUser):

	model_list:
	- model_name: fake-openai-endpoint
	litellm_params:
	model: openai/fake
	api_key: fake-key
	api_base: https://exampleopenaiendpoint-production.up.railway.app/

	general_settings:
	custom_sso: my_pkg.custom_sso_handler
	proxy_batch_write_at: 60

	v3.4.8

	• bugfix: Fixed an issue with helm templating for rollingUpdate deployment strategy (by @rohantmp in #2864)
	• enhancement: more validation for required fields in instance types (by @neogopher in #2833)


	v3.4.7

	• bugfix: Fixed an issue where platform app installation would fail when using private OCI registry as source for
	the helm charts. (by @neogopher in #2800)