# filename="/usr/local/bin/readme-generator.sh"
filename="${PWD}/readme-generator.sh"

conf_print_readme_generator_sh() {
  cat <<-'EOF'
		#!/usr/bin/env bash
		# README.md Generator: Produces the full AI-driven Markdown pipeline doc

		: "${BUILD_DIR:=$HOME/staging_area}"
		OUTPUT_FILE="${BUILD_DIR}/README.md"

		mkdir -p "$(dirname "$OUTPUT_FILE")"

		cat <<'MARKDOWN' > "$OUTPUT_FILE"
		# Literate DevOps Pipeline: AI-Driven Markdown to Idempotent Bash

		This repository demonstrates a **staged, literate infrastructure workflow** where AI-generated Markdown is transformed into safe, idempotent, executable Bash scripts.  

		The design enforces **formal invariants**, ensuring reproducibility and portability.

		---

		## Overview

		The pipeline has three primary stages:

		1. **Validation (`Stage 3 / Level 3`)**  
		   Checks that each Markdown code block follows strict rules:
		   - Absolute filename defined
		   - Function named according to the template
		   - Tab-indented heredoc used
		   - Staging logic (`mkdir -p`) included
		   - Function is actually invoked with `tee` to write the file

		2. **Conversion (`md-to-sh`)**  
		   Transforms Markdown into a runnable `.sh` script:
		   - Comments out all prose outside code blocks
		   - Preserves Bash code blocks
		   - Adds `#!/usr/bin/env bash` for execution
		   - Supports `BUILD_DIR` for safe staging

		3. **Execution / Deployment**  
		   Executes the generated script in a dry-run or live environment:
		   - Uses `BUILD_DIR` (or `DESTDIR`) to avoid touching system paths directly
		   - Ensures atomic, idempotent writes
		   - Generates a Mermaid diagram to visualize the flow

		---

		## Illustrative Flow

		```mermaid
		graph TD
		    AI[AI Chat / Markdown Generation] --> MD[Markdown Spec File]
		    MD --> VAL[Validator (md-validate.sh)]
		    VAL --> CONV[Converter (md-to-sh.sh)]
		    CONV --> DRY[Dry-Run BUILD_DIR Execution]
		    DRY --> DEPLOY[Optional Deployment to Target System]
		    DRY --> VIS[Mermaid Diagram / Glow Preview]
		```

		- **AI Chat**: Produces Markdown that includes both prose and Bash code blocks.
		- **Validator**: Ensures every block adheres to the Level 3 invariants.
		- **Converter**: Produces a `.sh` file suitable for execution.
		- **Dry-Run Execution**: Stages files in `BUILD_DIR` to verify behavior.
		- **Visualization**: Mermaid diagram rendered via `glow` gives an immediate visual feedback loop.

		---

		## Usage Example

		```bash
		# Stage 1: Validate Markdown spec
		export BUILD_DIR="$HOME/staging_area"
		bash ./md-validate.sh setup.md

		# Stage 2: Convert Markdown to Bash
		bash ./md-to-sh.sh setup.md

		# Stage 3: Execute staged Bash
		bash ./setup.sh
		```

		**Notes:**
		- `BUILD_DIR` allows safe testing before touching `/etc` or `$HOME`.
		- Each block writes files atomically:
		  ```bash
		  mkdir -p "$(dirname "${BUILD_DIR}${filename}")"
		  conf_print_<basename> | tee "${BUILD_DIR}${filename}" > /dev/null
		  ```

		---

		## AI-Assisted Development Workflow

		1. Ask an AI to **generate infrastructure config** in Markdown using the strict template.
		2. Save the AI response as `setup.md`.
		3. Run `md-validate.sh` to ensure structural correctness.
		4. Use `md-to-sh.sh` to create a runnable deployment script.
		5. Execute the script with a **dry-run staging directory** (`BUILD_DIR`) or deploy live.

		```mermaid
		sequenceDiagram
		    participant User
		    participant AI
		    participant Validator
		    participant Converter
		    participant DryRun
		    User->>AI: Request config generation (Markdown)
		    AI-->>User: Returns Markdown with code blocks
		    User->>Validator: Run validation
		    Validator-->>User: Pass/Fail with block-level feedback
		    User->>Converter: Convert Markdown to Bash
		    Converter-->>DryRun: Execute staged script
		    DryRun-->>User: File staging complete; Mermaid diagram generated
		```

		---

		## Notes on Portability & Composability

		- **Semantic Function Naming**: Functions like `conf_print_nginx` are decoupled from absolute paths, enabling reuse across environments.
		- **Dry-Run Safe**: Use `BUILD_DIR` for atomic staging.
		- **Visualization**: Mermaid + `glow` provides a live mental model of the pipeline.
		- **Strict Gatekeeping**: The validator ensures AI output can't silently break the pipeline.

		---

		## Future Enhancements

		- Optional "Fixer" mode to auto-inject missing `mkdir` / `tee`.
		- Fully dynamic `DESTDIR` support for containerized deployments.
		- Native ASCII diagrams for CI logs without `glow`.
		- Multi-platform path and OS abstraction.

		---

		This README serves as the **meta-documentation** for using AI-driven Markdown to produce reproducible, idempotent infrastructure scripts.

		MARKDOWN

		echo "[SUCCESS] README.md generated at $OUTPUT_FILE"
	EOF
}

mkdir -p "$(dirname "${BUILD_DIR}${filename}")"
conf_print_readme_generator_sh | tee "${BUILD_DIR}${filename}" >/dev/null
chmod +x "${BUILD_DIR}${filename}"
