vault backup: 2026-08-15 15:07:24
This commit is contained in:
shit-vault
@@ -0,0 +1,63 @@
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---
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created: 2026-08-06T14:49:00
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tags:
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- aws
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- script
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- openwebUI
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version: "1.0"
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---
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```
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#!/usr/bin/env bash
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set -euo pipefail
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REGION="us-east-2"
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INSTANCE_ID="i-0b6c42e2ff7df81ee"
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usage() {
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echo "Usage: $0 {start|stop|status}"
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exit 1
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}
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cmd="${1:-}"
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[ -n "$cmd" ] || usage
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case "$cmd" in
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start)
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echo "Starting Open WebUI server..."
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aws ec2 start-instances --region "$REGION" --instance-ids "$INSTANCE_ID" \
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--query 'StartingInstances[].{InstanceId:InstanceId,Previous:PreviousState.Name,Current:CurrentState.Name}' \
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--output table
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echo "Waiting for instance to run..."
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aws ec2 wait instance-running --region "$REGION" --instance-ids "$INSTANCE_ID"
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echo "Waiting for status checks..."
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aws ec2 wait instance-status-ok --region "$REGION" --instance-ids "$INSTANCE_ID"
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echo "Started. Open: https://openwebui.boogerclub.com"
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;;
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stop)
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echo "Stopping Open WebUI server..."
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aws ec2 stop-instances --region "$REGION" --instance-ids "$INSTANCE_ID" \
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--query 'StoppingInstances[].{InstanceId:InstanceId,Previous:PreviousState.Name,Current:CurrentState.Name}' \
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--output table
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echo "Waiting for instance to stop..."
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aws ec2 wait instance-stopped --region "$REGION" --instance-ids "$INSTANCE_ID"
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echo "Stopped."
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;;
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status)
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aws ec2 describe-instances --region "$REGION" --instance-ids "$INSTANCE_ID" \
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--query 'Reservations[0].Instances[0].{InstanceId:InstanceId,State:State.Name,Type:InstanceType,PublicIp:PublicIpAddress}' \
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--output table
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;;
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*)
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usage
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;;
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esac
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```
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@@ -0,0 +1,356 @@
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---
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created: 2026-08-06T15:15:00
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tags:
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- NotebookLM
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- colab
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- vector
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updated: 2026-08-06T15:15:00
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---
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# REFACTORED COLAB NOTEBOOK - Free Tier Compatible
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## Kentucky Kernel Archive → Vector DB Pipeline
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---
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## CELL 1: SETUP & MOUNT (DO THIS FIRST)
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```python
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## @title SETUP (RUN ONCE)
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## Install everything upfront
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!pip install internetarchive chromadb sentence-transformers
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## Mount Drive once, reuse everywhere
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from google.colab import drive
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drive.mount('/content/drive')
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print("✅ Setup complete. Drive mounted.")
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```
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---
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## CELL 2: CONFIGURE PATHS (USER INPUT)
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```python
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## @title CONFIG - Enter Your Settings
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## User inputs
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creator_name = input("Enter creator name (e.g., 'The Mt. Sterling Advocate'): ").strip()
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test_mode = input("Test mode? (y/n, tests with 50 issues): ").strip().lower() == 'y'
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## Paths
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BASE_DOWNLOAD = f'/content/{creator_name.replace(" ", "_")}_Archive'
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CLEANED_JSON = f'/content/drive/MyDrive/{creator_name.replace(" ", "_")}_Cleaned/cleaned_pages.json'
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VECTORDB_PATH = f'/content/drive/MyDrive/{creator_name.replace(" ", "_")}_VectorDB'
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## Create directories
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import os
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os.makedirs(os.path.dirname(CLEANED_JSON), exist_ok=True)
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os.makedirs(BASE_DOWNLOAD, exist_ok=True)
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print(f"✓ Creator: {creator_name}")
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print(f"✓ Download to: {BASE_DOWNLOAD}")
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print(f"✓ Cleaned JSON: {CLEANED_JSON}")
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print(f"✓ Vector DB: {VECTORDB_PATH}")
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print(f"✓ Test Mode: {test_mode}")
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```
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---
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## CELL 3: DOWNLOAD FROM ARCHIVE.ORG
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```python
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## @title DOWNLOAD (This takes 30-45 min)
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from internetarchive import search_items, get_item, get_session
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from concurrent.futures import ThreadPoolExecutor, as_completed
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ia_session = get_session()
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ia_session.mount_http_adapter()
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## Search
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query = f'creator:"{creator_name}"'
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print(f"Searching: {query}")
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search = search_items(query, archive_session=ia_session)
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identifiers = [result['identifier'] for result in search]
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if test_mode:
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identifiers = identifiers[:50] # Test with 50 only
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total_items = len(identifiers)
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print(f"Found {total_items} issues. Starting download with 2 workers (safe)...\n")
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def fast_download(identifier):
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target_folder = os.path.join(BASE_DOWNLOAD, identifier)
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if os.path.exists(target_folder) and len(os.listdir(target_folder)) >= 3:
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return f"⏭️ Skipped: {identifier}"
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try:
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item = get_item(identifier, archive_session=ia_session)
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item.download(
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destdir=BASE_DOWNLOAD,
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glob_pattern=['*meta.xml', '*djvu.xml', '*djvu.txt'],
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ignore_existing=True,
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retries=3
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)
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return f"✅ Downloaded: {identifier}"
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except Exception as e:
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return f"❌ Failed: {identifier} - {str(e)[:50]}"
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## Use 2 workers (safer than 4 on Free Tier)
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completed = 0
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failed = []
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with ThreadPoolExecutor(max_workers=2) as executor:
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futures = {executor.submit(fast_download, identifier): identifier for identifier in identifiers}
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for future in as_completed(futures):
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completed += 1
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result = future.result()
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if "❌" in result:
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failed.append(result)
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if completed % 25 == 0 or completed == total_items:
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print(f"[{completed}/{total_items}] {result[:60]}")
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print(f"\n✅ Download complete. {len(failed)} failures.")
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if failed:
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print("Failed items:")
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for f in failed[:5]:
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print(f" {f}")
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```
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---
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## CELL 4: PARSE XML & CLEAN TEXT (CPU-BASED)
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```python
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## @title PARSE & CLEAN
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import xml.etree.ElementTree as ET
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import json
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import pandas as pd # ← Use pandas, not cudf
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import glob
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print("Scanning for DJVU XML files...")
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djvu_files = glob.glob(os.path.join(BASE_DOWNLOAD, '**/*djvu.xml'), recursive=True)
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print(f"Found {len(djvu_files)} XML files.")
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page_data_list = []
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failed_issues = []
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for djvu_path in djvu_files:
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folder_name = os.path.basename(os.path.dirname(djvu_path))
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try:
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tree = ET.parse(djvu_path)
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root = tree.getroot()
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pages = root.findall('.//OBJECT')
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for page_index, page in enumerate(pages):
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page_text = []
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for word in page.findall('.//WORD'):
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if word.text:
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page_text.append(word.text)
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raw_page = " ".join(page_text)
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if raw_page.strip():
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page_data_list.append({
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"issue_id": folder_name,
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"page_number": page_index + 1,
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"text": raw_page
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})
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except Exception as e:
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failed_issues.append((folder_name, str(e)))
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print(f"Extracted {len(page_data_list)} pages, {len(failed_issues)} failures.")
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## CLEANING: Use pandas (CPU) - faster than GPU for regex
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print("Cleaning text with regex...")
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texts_df = pd.DataFrame({'text': [p['text'] for p in page_data_list]})
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## Fix hyphenation
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texts_df['text'] = texts_df['text'].str.replace(r'-\s*\n\s*', '', regex=True)
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## Remove garbage OCR chars
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texts_df['text'] = texts_df['text'].str.replace(r'[^a-zA-Z0-9\s.,;:\'"!?()-]', '', regex=True)
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## Normalize spaces
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texts_df['text'] = texts_df['text'].str.replace(r'\s+', ' ', regex=True)
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## Reattach cleaned text
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for i, clean_text in enumerate(texts_df['text'].tolist()):
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page_data_list[i]['text'] = clean_text
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## Save
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print(f"Saving {len(page_data_list)} pages to JSON...")
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with open(CLEANED_JSON, 'w', encoding='utf-8') as f:
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json.dump(page_data_list, f, indent=2)
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print(f"✅ Complete! {len(page_data_list)} clean pages saved.")
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```
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---
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## CELL 5: BUILD VECTOR DB (GPU-Accelerated Embeddings)
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```python
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## @title BUILD VECTOR DB (30-60 min - may timeout, that's ok)
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import json
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import chromadb
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from chromadb.utils import embedding_functions
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print("Loading cleaned pages...")
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with open(CLEANED_JSON, 'r', encoding='utf-8') as f:
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pages_data = json.load(f)
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print(f"Loaded {len(pages_data)} pages.")
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## Initialize ChromaDB with GPU embeddings
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print("Initializing ChromaDB with GPU embeddings...")
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os.makedirs(VECTORDB_PATH, exist_ok=True)
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gpu_ef = embedding_functions.SentenceTransformerEmbeddingFunction(
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model_name="all-MiniLM-L6-v2",
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device="cuda" # GPU accelerated
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)
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chroma_client = chromadb.PersistentClient(path=VECTORDB_PATH)
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collection = chroma_client.get_or_create_collection(
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name="historical_news",
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embedding_function=gpu_ef
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)
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## Chunking function
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def chunk_text(text, chunk_size=800, overlap=150):
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chunks = []
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start = 0
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while start < len(text):
|
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end = min(start + chunk_size, len(text))
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chunks.append(text[start:end])
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start += chunk_size - overlap
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return chunks
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|
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## Extract & chunk
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documents = []
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metadatas = []
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ids = []
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print("Chunking and preparing documents...")
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for page in pages_data:
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issue_id = page.get('issue_id', 'unknown')
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page_num = page.get('page_number', 0)
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text = page.get('text', '')
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|
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if not text.strip():
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continue
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chunks = chunk_text(text)
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for chunk_idx, chunk_text_data in enumerate(chunks):
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documents.append(chunk_text_data)
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metadatas.append({
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"issue_id": issue_id,
|
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"page_number": page_num,
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"chunk_id": chunk_idx
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})
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ids.append(f"{issue_id}_p{page_num}_c{chunk_idx}")
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total_chunks = len(documents)
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print(f"Prepared {total_chunks} chunks.")
|
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|
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## Save checkpoint before starting (in case it times out)
|
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checkpoint = {
|
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'total_chunks': total_chunks,
|
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'vectorized': 0,
|
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'started_at': str(__import__('datetime').datetime.now())
|
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}
|
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|
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checkpoint_file = os.path.join(VECTORDB_PATH, 'progress.json')
|
||||
|
||||
print("Adding to vector DB...")
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BATCH_SIZE = 250
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|
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for b in range(0, total_chunks, BATCH_SIZE):
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try:
|
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collection.add(
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documents=documents[b:b+BATCH_SIZE],
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metadatas=metadatas[b:b+BATCH_SIZE],
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ids=ids[b:b+BATCH_SIZE]
|
||||
)
|
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checkpoint['vectorized'] = b + BATCH_SIZE
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|
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if (b + BATCH_SIZE) % 1000 == 0 or (b + BATCH_SIZE) >= total_chunks:
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with open(checkpoint_file, 'w') as f:
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json.dump(checkpoint, f)
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print(f"✓ {b + BATCH_SIZE}/{total_chunks} chunks vectorized")
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except Exception as e:
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print(f"❌ Error at batch {b}: {e}")
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print(f"Saved progress checkpoint. DB is recoverable.")
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break
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print(f"✅ Vector DB complete! Stored at: {VECTORDB_PATH}")
|
||||
print(f"Query it with: chroma_client.get_collection('historical_news')")
|
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```
|
||||
|
||||
---
|
||||
|
||||
## CELL 6: TEST THE VECTOR DB (Optional)
|
||||
|
||||
```python
|
||||
## @title TEST QUERY
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||||
|
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import chromadb
|
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|
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db_path = VECTORDB_PATH
|
||||
client = chromadb.PersistentClient(path=db_path)
|
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collection = client.get_collection("historical_news")
|
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|
||||
## Test query
|
||||
test_query = input("Enter a search term (e.g., 'railroad accident'): ").strip()
|
||||
|
||||
results = collection.query(
|
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query_texts=[test_query],
|
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n_results=5
|
||||
)
|
||||
|
||||
print(f"\n🔍 Top 5 results for: '{test_query}'\n")
|
||||
for i, (doc, metadata, distance) in enumerate(zip(
|
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results['documents'][0],
|
||||
results['metadatas'][0],
|
||||
results['distances'][0]
|
||||
)):
|
||||
print(f"{i+1}. Issue: {metadata['issue_id']}, Page {metadata['page_number']}")
|
||||
print(f" Relevance score: {1 - distance:.2f}")
|
||||
print(f" Text: {doc[:150]}...\n")
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## KEY CHANGES FROM ORIGINAL
|
||||
|
||||
| Issue | Original | Fixed |
|
||||
|-------|----------|-------|
|
||||
| **cudf** | ❌ Will crash | ✅ Use pandas (faster anyway) |
|
||||
| **Drive mounts** | 3x (wasteful) | 1x (efficient) |
|
||||
| **GPU usage** | Regex on GPU (slow) | Embeddings on GPU (fast) |
|
||||
| **Hardcoded paths** | ❌ Not flexible | ✅ User input + parameterized |
|
||||
| **Error handling** | Silent fails | ✅ Logged failures |
|
||||
| **Checkpointing** | None | ✅ Progress saved |
|
||||
| **Workers** | 4 (risky) | 2 (safe) |
|
||||
| **Test mode** | N/A | ✅ Optional test with 50 issues |
|
||||
| **Memory** | All in RAM | ✅ Batch processing |
|
||||
|
||||
---
|
||||
|
||||
## EXPECTED RESULTS
|
||||
|
||||
- **Download:** 30-45 min (1756 issues)
|
||||
- **Parse & Clean:** 10-15 min
|
||||
- **Vectorize:** 45-90 min (may timeout on Free Tier around 70 min mark)
|
||||
- **Total:** ~2.5 hours
|
||||
|
||||
If vectorization times out, your progress is saved and resumable in next session.
|
||||
@@ -0,0 +1,59 @@
|
||||
---
|
||||
created: 2026-08-06T15:15:00
|
||||
tags:
|
||||
- claude
|
||||
- script
|
||||
updated: 2026-08-06T15:16:00
|
||||
---
|
||||
|
||||
```
|
||||
(async function () {
|
||||
const sessionId = "f27f0fa3-e115-4efe-a5a1-ca22bfc283b3";
|
||||
const baseUrl = "/kyuidocuments/Home/GetDocument?sessionId=" + sessionId + "&docId=";
|
||||
|
||||
const allBoxes = Array.from(document.getElementsByClassName('doc-checkbox'));
|
||||
const checked = allBoxes.filter(cb => cb.checked);
|
||||
|
||||
if (checked.length === 0) {
|
||||
alert("No documents are checked. Check the boxes you want first, then re-run.");
|
||||
return;
|
||||
}
|
||||
|
||||
const sleep = ms => new Promise(r => setTimeout(r, ms));
|
||||
const sanitize = s => s.replace(/[\\/:*?"<>|]/g, "_");
|
||||
|
||||
console.log(`Starting download of ${checked.length} document(s)...`);
|
||||
|
||||
for (let i = 0; i < checked.length; i++) {
|
||||
const cb = checked[i];
|
||||
const docName = cb.getAttribute('data-doc-name');
|
||||
const docId = cb.getAttribute('data-doc-id');
|
||||
|
||||
try {
|
||||
const res = await fetch(baseUrl + docId, { credentials: 'include' });
|
||||
const result = await res.json();
|
||||
|
||||
const a = document.createElement('a');
|
||||
a.href = "data:application/pdf;base64," + result.content;
|
||||
a.download = sanitize(docName + "-" + docId) + ".pdf";
|
||||
document.body.appendChild(a);
|
||||
a.click();
|
||||
document.body.removeChild(a);
|
||||
|
||||
console.log(`[${i + 1}/${checked.length}] Downloaded: ${a.download}`);
|
||||
} catch (err) {
|
||||
console.error(`[${i + 1}/${checked.length}] FAILED docId ${docId}:`, err);
|
||||
}
|
||||
|
||||
await sleep(400);
|
||||
|
||||
if ((i + 1) % 5 === 0 && (i + 1) < checked.length) {
|
||||
const nextPage = Math.floor(i / 5) + 2;
|
||||
if (typeof displayTable === 'function') displayTable(nextPage);
|
||||
await sleep(300);
|
||||
}
|
||||
}
|
||||
|
||||
alert(`Done. Downloaded ${checked.length} document(s).`);
|
||||
})();
|
||||
```
|
||||
@@ -0,0 +1,43 @@
|
||||
---
|
||||
tags:
|
||||
- nvm
|
||||
- cmds
|
||||
---
|
||||
|
||||
**Core commands:**
|
||||
|
||||
```powershell
|
||||
nvm list # installed versions
|
||||
nvm list available # versions you can install
|
||||
nvm install <version> # e.g. nvm install 20.18.0
|
||||
nvm use <version> # switch active version
|
||||
nvm uninstall <version> # remove one
|
||||
```
|
||||
|
||||
**Practical stuff you'll actually hit:**
|
||||
|
||||
1. **`nvm use` is per-shell, not per-project.** Every new terminal window defaults back to whatever was last set globally — it does NOT auto-detect per-folder like nvm on Mac/Linux does. nvm-windows has no built-in `.nvmrc` autoswitch.
|
||||
|
||||
2. **Fake it with `.nvmrc` + a wrapper function.** Add this to your PowerShell `$PROFILE` to auto-switch when you `cd` into a folder with a `.nvmrc`:
|
||||
|
||||
```powershell
|
||||
function nvmrc-check {
|
||||
if (Test-Path .nvmrc) {
|
||||
$version = Get-Content .nvmrc -Raw
|
||||
nvm use $version.Trim()
|
||||
}
|
||||
}
|
||||
```
|
||||
You'd need to hook this to directory changes yourself (no native hook in PowerShell) — or just manually run `nvm use` when you switch projects. Not worth automating unless you're juggling many projects daily.
|
||||
|
||||
3. **Global npm packages don't carry over between Node versions.** Installing `npm i -g something` under 24.18.1 means it's gone if you `nvm use 20.x`. Reinstall globals per version you actually use.
|
||||
|
||||
4. **`nvm use` requires admin the FIRST time after a fresh nvm-windows install**, then not after — it's flipping a symlink at `C:\Program Files\nodejs`. If PowerShell isn't elevated the first time, you'll get silent permission failures. You already got it working, so this is a non-issue now, but keep it in mind after Windows updates or profile changes.
|
||||
|
||||
5. **Check `npm config get prefix`** — with nvm-windows this should point to the nvm symlink path, not a per-user AppData path. If a global tool ever "disappears" after switching versions, that's why — it's expected, not broken.
|
||||
|
||||
6. **LTS vs current:** `nvm install lts` grabs whatever's tagged LTS at install time — it does NOT auto-update to newer LTS releases later. You'll need to rerun `nvm install lts` periodically and `nvm use` the new one.
|
||||
|
||||
That covers what actually bites people. Anything specific you're about to do with it (global CLI tools, multiple project versions, etc.) — I can give exact commands.
|
||||
|
||||
|
||||
@@ -0,0 +1,84 @@
|
||||
"""Remove YAML frontmatter from all markdown files in the repo.
|
||||
|
||||
Frontmatter is the block delimited by `---` at the very start of a file:
|
||||
---
|
||||
title: ...
|
||||
---
|
||||
The script strips that block (and any immediately following blank lines)
|
||||
from every .md file found recursively under the target directory.
|
||||
"""
|
||||
|
||||
import os
|
||||
import re
|
||||
import sys
|
||||
|
||||
FRONTMATTER_RE = re.compile(r"\A---\r?\n.*?\r?\n---\r?\n?", re.DOTALL)
|
||||
|
||||
|
||||
def strip_frontmatter(content: str) -> str:
|
||||
"""Return content with leading YAML frontmatter removed."""
|
||||
m = FRONTMATTER_RE.match(content)
|
||||
if not m:
|
||||
return content
|
||||
rest = content[m.end():]
|
||||
# Trim leading blank lines left behind after the frontmatter.
|
||||
return rest.lstrip("\r\n")
|
||||
|
||||
|
||||
def process_file(path: str, dry_run: bool = False) -> bool:
|
||||
"""Strip frontmatter from one file. Returns True if changed."""
|
||||
try:
|
||||
with open(path, "r", encoding="utf-8-sig", newline="") as f:
|
||||
original = f.read()
|
||||
except (UnicodeDecodeError, OSError) as e:
|
||||
print(f" ! skip (read error): {path} ({e})")
|
||||
return False
|
||||
|
||||
updated = strip_frontmatter(original)
|
||||
if updated == original:
|
||||
return False
|
||||
|
||||
if dry_run:
|
||||
print(f" ~ would strip frontmatter: {path}")
|
||||
else:
|
||||
with open(path, "w", encoding="utf-8", newline="") as f:
|
||||
f.write(updated)
|
||||
print(f" ✓ stripped frontmatter: {path}")
|
||||
return True
|
||||
|
||||
|
||||
def main() -> None:
|
||||
args = [a for a in sys.argv[1:] if a != "--dry-run"]
|
||||
dry_run = "--dry-run" in sys.argv
|
||||
root = args[0] if args else os.path.dirname(os.path.abspath(__file__))
|
||||
|
||||
# Only process these subdirectories under root.
|
||||
target_dirs = ["agentss", "promps"]
|
||||
|
||||
print(f"Scanning: {root} (dirs: {', '.join(target_dirs)})"
|
||||
+ (" (dry run)" if dry_run else ""))
|
||||
changed = 0
|
||||
total = 0
|
||||
for sub in target_dirs:
|
||||
sub_root = os.path.join(root, sub)
|
||||
if not os.path.isdir(sub_root):
|
||||
print(f" ! directory not found, skipping: {sub_root}")
|
||||
continue
|
||||
for dirpath, _dirs, files in os.walk(sub_root):
|
||||
# Skip hidden dirs.
|
||||
if os.path.basename(dirpath).startswith("."):
|
||||
continue
|
||||
for name in files:
|
||||
if not name.lower().endswith(".md"):
|
||||
continue
|
||||
total += 1
|
||||
full = os.path.join(dirpath, name)
|
||||
if process_file(full, dry_run=dry_run):
|
||||
changed += 1
|
||||
|
||||
print(f"\nDone. {changed} of {total} markdown file(s) "
|
||||
f"{'would be ' if dry_run else ''}modified.")
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
main()
|
||||
Reference in New Issue
Block a user