mrsimpson

#!/usr/bin/env python3
"""
yt2mp3.py - YouTube (und andere Sites) nach MP3
Abhängigkeiten: Python 3 stdlib + ffmpeg (Homebrew)

yt-dlp wird beim ersten Start automatisch nach ~/.local/lib/yt-dlp heruntergeladen
und von dort genutzt - keine systemweite Installation, keine Root-Rechte nötig.
"""

import argparse

mrsimpson

#!/usr/bin/env python3
"""
cdripper.py - Audio-CD nach FLAC/MP3/WAV auf macOS
Abhängigkeiten: Python 3 stdlib + ffmpeg (Homebrew)
"""

import argparse
import base64
import hashlib
import json

mrsimpson

as

mrsimpson

{
  "conversation_id": "8a174edc-00a5-4206-bf95-e9c3f31ea959",
  "next_message": null,
  "history": [
    {
      "user": {
        "additional_context": "",
        "env_context": {
          "env_state": {
            "operating_system": "macos",

mrsimpson

{
  "conversation_id": "f44d245a-20e5-4950-99cd-838deb32d7b8",
  "next_message": null,
  "history": [
    [
      {
        "additional_context": "--- CONTEXT ENTRY BEGIN ---\nThis section (like others) contains important information that I want you to use in your responses. I have gathered this context from valuable programmatic script hooks. You must follow any requests and consider all of the information in this section\n\n--- CONTEXT ENTRY END ---\n\n",
        "env_context": {
          "env_state": {
            "operating_system": "macos",

mrsimpson

{
  "conversation_id": "14ee9ee5-5d16-4dd3-8b58-a41fe3d9ec4e",
  "next_message": null,
  "history": [
    [
      {
        "additional_context": "--- CONTEXT ENTRY BEGIN ---\nThis section (like others) contains important information that I want you to use in your responses. I have gathered this context from valuable programmatic script hooks. You must follow any requests and consider all of the information in this section\n\n'git-status': \n\n--- CONTEXT ENTRY END ---\n\n",
        "env_context": {
          "env_state": {
            "operating_system": "macos",

mrsimpson

Implementation of the context-feature

This conversation is a recorded vibe coding of how I added the feature to display context information alongside the conversation flow.

mrsimpson

Project Serializer

Purpose

A flexible shell function to serialize source code directories into a single text stream, useful for preprocessing code for LLM analysis or code review.

Features

• Serialize multiple project directories
• Include/exclude file patterns
• Skip binary files
• Verbose mode for debugging

mrsimpson

Apache Flink

Apache Flink ist eine Open-Source-Stream-Processing-Engine, die für verteilte, hochparallele und fehlertolerante Datenströme entwickelt wurde. Es ermöglicht die Verarbeitung von kontinuierlichen Datenströmen in Echtzeit.

Integration mit Apache Kafka

Apache Flink integriert sich nahtlos mit Apache Kafka, dem de-facto-Standard für Datenströme:

• Flink kann Kafka-Topics als Datenquellen nutzen und Ergebnisse in Kafka-Topics schreiben[1][4]
• Flink unterstützt die exakt-einmalige Verarbeitung von Ereignissen, selbst bei Systemausfällen[4]

mrsimpson

package de.fermata.flink.app;

import java.time.Instant;
import java.util.Random;
import java.util.stream.StreamSupport;
import org.apache.flink.api.common.state.BroadcastState;
import org.apache.flink.api.common.state.MapStateDescriptor;
import org.apache.flink.api.common.state.ReadOnlyBroadcastState;
import org.apache.flink.api.java.tuple.Tuple2;
import org.apache.flink.configuration.Configuration;