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Date: 2025 09-September 07

Pipeline-friendly, Python-first approach that’s pipx-installable, but structured so COM integration can be added later if needed.


1️⃣ High-Level Concept

Goal: Highlight text anywhere → hotkey → send text to your Python CLI (pipeline) → optional output (log, notification, Excel, file, etc.).

Components:

Component Role
Clipboard watcher Python process that monitors the clipboard for new text.
Hotkey trigger Global hotkey (PowerToys Run, or Python via keyboard library) triggers the action.
CLI integration Sends the text to your pipx-installed CLI tool (pipeline) with appropriate arguments.
Notification/log Optional: system tray notification, log file, or output to a target (Excel, file, terminal).
Optional COM layer Future extension to integrate into apps like Word, Excel, or Explorer context menus.

2️⃣ Architecture Sketch

[User Highlights Text] 
        ↓
     [Copy] (Ctrl+C)
        ↓
[Python Clipboard Watcher]  <-- runs as background process
        ↓  (Hotkey Trigger: Ctrl+Shift+P)
[Pipeline CLI Call]  <-- runs: "pipeline query <text>"
        ↓
[Output Handling]
   ├─ Terminal log
   ├─ File (CSV, JSON, etc.)
   └─ Excel sheet or GUI

Notes:


3️⃣ Python Implementation Plan

a) Background watcher + hotkey

import subprocess
import time
import pyperclip
import keyboard  # pip install keyboard

# Track clipboard state
last_clipboard = ""

def on_hotkey():
    text = pyperclip.paste()
    if not text.strip():
        print("No text in clipboard")
        return

    # Call pipx-installed pipeline CLI
    subprocess.Popen(["pipeline", "query", text])

# Register global hotkey
keyboard.add_hotkey("ctrl+shift+p", on_hotkey)

# Keep process alive
print("Clipboard launcher running... Press ESC to quit")
keyboard.wait("esc")

b) Optional tray integration (advanced)


c) Packaging as pipx installable

clipboard-launcher/
├── pyproject.toml
├── clipboard_launcher/
│   ├── __main__.py
│   └── watcher.py
└── README.md

4️⃣ Future COM/Explorer Integration

When you’re ready to go beyond hotkeys:

  1. COM Add-in (C# or C++): hooks into apps like Word, Excel, Explorer.

    • Exposes a “Run pipeline-eds” command to right-click menus.

    • Python CLI can remain the backend.

  2. Python bridge:

    • COM add-in triggers Python CLI via subprocess.

    • CLI can also log, send to Excel, or do anything your watcher currently does.

  3. Benefits:

    • First version works fully in Python, pipx-installable.

    • Later, you add native right-click integration with minimal changes to the Python backend.


5️⃣ Advantages of this approach


Steps:
clipboard → hotkey → CLI → output → COM extension