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-# Email to Chronological Markdown Converter ## Overview This script processes email files (.eml) into a chronological narrative in Markdown format, optimized for processing with Large Language Models (LLMs). It extracts essential information from emails while removing unnecessary metadata, creating a clean, temporal narrative that can be easily analyzed. ## Purpose The main goal is to convert email threads and nested communications into a simple, chronological text format that LLMs can effectively process to: - Analyze communication patterns - Extract key information - Track project development - Identify important decisions and their timeline - Understand relationships and interactions between participants ## Core Functionality ### Input Processing - Reads .eml files from the current directory - Handles nested .eml files found as attachments - Supports multiple languages (English, Italian) - Extracts sender name and timestamp as primary identifiers ### Content Management - Maintains a single chronological file (cronologia.md) - Removes redundant metadata and formatting - Preserves essential content in plain text - Converts tables to markdown format - Links to non-email attachments - Eliminates duplicate entries ### Format Structure ```markdown ## YYYYMMDDhhmmss|Sender Name Message content in plain text... Tables converted to markdown format... ### Attachments - [[document1.pdf]] - [[image1.jpg]] --- ``` ### Key Features 1. Chronological Organization - All messages sorted by date - Consistent timestamp format - Clear sender identification 2. Content Cleaning - Removes email headers - Eliminates signatures - Strips formatting - Preserves table structure 3. Attachment Handling - Creates 'attachments' folder - Maintains file references - Processes nested emails - Prevents duplicates ## LLM Processing Considerations The output is structured to facilitate: 1. Temporal analysis 2. Relationship mapping 3. Topic tracking 4. Decision point identification 5. Project timeline reconstruction The consistent formatting and cleaned content allow LLMs to focus on: - Message content analysis - Temporal relationships - Communication patterns - Project development tracking - Key information extraction This format enables LLMs to effectively process email communications while maintaining the contextual and temporal relationships essential for understanding the narrative flow of information.
+# Email to Chronological Markdown Converter
+
+## Overview
+This script processes email files (.eml) into a chronological narrative in Markdown format, optimized for processing with Large Language Models (LLMs). It extracts essential information from emails while removing unnecessary metadata, creating a clean, temporal narrative that can be easily analyzed.
+
+## Purpose
+The main goal is to convert email threads and nested communications into a simple, chronological text format that LLMs can effectively process to:
+- Analyze communication patterns
+- Extract key information
+- Track project development
+- Identify important decisions and their timeline
+- Understand relationships and interactions between participants
+
+## Core Functionality
+
+### Input Processing
+- Reads .eml files from the current directory
+- Handles nested .eml files found as attachments
+- Supports multiple languages (English, Italian)
+- Extracts sender name and timestamp as primary identifiers
+
+### Content Management
+- Maintains a single chronological file (cronologia.md)
+- Removes redundant metadata and formatting
+- Preserves essential content in plain text
+- Converts tables to markdown format
+- Links to non-email attachments
+- Eliminates duplicate entries
+
+### Format Structure
+```markdown
+## YYYYMMDDhhmmss|Sender Name
+
+Message content in plain text...
+Tables converted to markdown format...
+
+### Attachments
+- [[document1.pdf]]
+- [[image1.jpg]]
+
+---
+```
+
+### Key Features
+1. Chronological Organization
+   - All messages sorted by date
+   - Consistent timestamp format
+   - Clear sender identification
+
+2. Content Cleaning
+   - Removes email headers
+   - Eliminates signatures
+   - Strips formatting
+   - Preserves table structure
+
+3. Attachment Handling
+   - Creates 'attachments' folder
+   - Maintains file references
+   - Processes nested emails
+   - Prevents duplicates
+
+## LLM Processing Considerations
+The output is structured to facilitate:
+1. Temporal analysis
+2. Relationship mapping
+3. Topic tracking
+4. Decision point identification
+5. Project timeline reconstruction
+
+The consistent formatting and cleaned content allow LLMs to focus on:
+- Message content analysis
+- Temporal relationships
+- Communication patterns
+- Project development tracking
+- Key information extraction
+
+This format enables LLMs to effectively process email communications while maintaining the contextual and temporal relationships essential for understanding the narrative flow of information.