41 lines
2.1 KiB
Markdown
41 lines
2.1 KiB
Markdown
# Output Pipeline Overview
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This directory contains the post-processing side of ResumeCustomizer. It is responsible for taking a job-targeted Markdown resume produced elsewhere in the system and turning it into printable DOCX/PDF artifacts.
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## Directory Layout
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- `ForRelease/inbox`: drop a single `*.md` file here to trigger conversion.
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- `ForRelease/outbox/YYYY/MM/DD/HHMM`: conversion results (paired `.docx` and `.pdf`) organized by timestamp so repeated runs never overwrite each other.
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- `ForRelease/processed/YYYY/MM/DD/HHMM`: archives of Markdown files that converted successfully.
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- `ForRelease/failed`: Markdown files that encountered an error during conversion (contains `.gitkeep` to preserve the directory).
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- `Docker/`: container definition, watcher script, and helper wrapper that run the conversion daemon.
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## Running the Output Processor
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Use the wrapper so the container writes files with your UID/GID:
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```bash
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cd output/Docker
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./run-output-processor.sh up -d
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```
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The script detects either the Docker Compose plugin or the legacy `docker-compose` binary and forwards any additional arguments you supply (`down`, `logs`, etc.). The stack registers under the project name `RCEO-AI-ResumeCustomizer-Output`, and the primary container is `RCEO-AI-ResumeCustomizer-Output-Processor`.
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## What the Watcher Does
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1. Polls `ForRelease/inbox` every few seconds for a single Markdown resume.
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2. Runs Pandoc using the shared DOCX and LaTeX templates to generate DOCX/PDF.
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3. Drops the exports into the timestamped folder under `ForRelease/outbox`.
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4. Moves the original Markdown into the matching timestamp folder under `ForRelease/processed`.
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5. If the Pandoc conversion fails, moves the Markdown into `ForRelease/failed` so it can be reviewed without blocking subsequent runs.
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## Prerequisites
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- Docker Engine with either the Compose plugin (`docker compose`) or standalone `docker-compose`.
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- Pandoc templates available under `input/templates` relative to the repo root (mounted read-only into the container).
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Stop the service with:
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```bash
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cd output/Docker
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./run-output-processor.sh down
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```
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Log output is available through `./run-output-processor.sh logs -f`.
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