ReachableCEO-AI-Homedir-Public/databank/collab/fromjoplin/README.md

Joplin Processing Pipeline

This directory contains scripts and configurations for processing Joplin markdown exports.

Structure

joplin-processing/
├── process-joplin-export.sh    # Main processing script
├── convert-to-human-md.py      # Convert Joplin to human-friendly markdown
├── convert-to-llm-json.py      # Convert Joplin to LLM-optimized JSON
├── joplin-template-config.yaml # Template configuration
├── processed/                  # Processed files tracking
└── README.md                   # This file

Workflow

1. Export: Joplin notes exported as markdown
2. Place: Drop exports in ../collab/fromjoplin/
3. Trigger: Processing script monitors directory
4. Convert: Scripts convert to both human and LLM formats
5. Store: Results placed in ../../artifacts/, ../../human/, and ../../llm/
6. Track: Processing logged in processed/

Processing Script

#!/bin/bash
# process-joplin-export.sh

JOPLIN_DIR="../collab/fromjoplin"
HUMAN_DIR="../../human"
LLM_DIR="../../llm"
ARTIFACTS_DIR="../../artifacts"
PROCESSED_DIR="./processed"

# Process new Joplin exports
for file in "$JOPLIN_DIR"/*.md; do
    if [[ -f "$file" ]]; then
        filename=$(basename "$file")
        echo "Processing $filename..."
        
        # Convert to human-friendly markdown
        python3 convert-to-human-md.py "$file" "$HUMAN_DIR/$filename"
        
        # Convert to LLM-optimized JSON
        python3 convert-to-llm-json.py "$file" "$LLM_DIR/${filename%.md}.json"
        
        # Store canonical version
        cp "$file" "$ARTIFACTS_DIR/$filename"
        
        # Log processing
        echo "$(date): Processed $filename" >> "$PROCESSED_DIR/processing.log"
        
        # Move processed file to avoid reprocessing
        mv "$file" "$PROCESSED_DIR/"
    fi
done

Conversion Scripts

Human-Friendly Markdown Converter

# convert-to-human-md.py
import sys
import yaml
import json

def convert_joplin_to_human_md(input_file, output_file):
    """Convert Joplin markdown to human-friendly format"""
    with open(input_file, 'r') as f:
        content = f.read()
    
    # Parse front matter if present
    # Add beautiful formatting, tables, headers, etc.
    
    # Write human-friendly version
    with open(output_file, 'w') as f:
        f.write(content)

if __name__ == "__main__":
    convert_joplin_to_human_md(sys.argv[1], sys.argv[2])

LLM-Optimized JSON Converter

# convert-to-llm-json.py
import sys
import json
import yaml
from datetime import datetime

def convert_joplin_to_llm_json(input_file, output_file):
    """Convert Joplin markdown to LLM-optimized JSON"""
    with open(input_file, 'r') as f:
        content = f.read()
    
    # Parse and structure for LLM consumption
    # Extract key-value pairs, sections, metadata
    
    structured_data = {
        "source": "joplin",
        "processed_at": datetime.now().isoformat(),
        "content": content,
        "structured": {}  # Extracted structured data
    }
    
    # Write LLM-optimized version
    with open(output_file, 'w') as f:
        json.dump(structured_data, f, indent=2)

if __name__ == "__main__":
    convert_joplin_to_llm_json(sys.argv[1], sys.argv[2])

Configuration

Template Configuration

# joplin-template-config.yaml
processing:
  input_format: "joplin_markdown"
  output_formats:
    - "human_markdown"
    - "llm_json"
  retention_days: 30
  
conversion_rules:
  human_friendly:
    add_tables: true
    add_formatting: true
    add_visual_hierarchy: true
    add_navigation: true
    
  llm_optimized:
    minimize_tokens: true
    structure_data: true
    extract_metadata: true
    add_semantic_tags: true

Automation

Set up cron job or file watcher to automatically process new exports:

# Run every 5 minutes
*/5 * * * * cd /path/to/joplin-processing && ./process-joplin-export.sh

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