Support Process Flowchart

Support-process modeling lab that renders a triage, diagnosis, resolution, and closure flowchart.

Educational project inspired by EETEPA Vilhena Alves. It is not an official institutional system and does not use real student data.

Overview

Curricular code: R-03
Course: Computer Networks
Discipline: Systems Analysis
Difficulty: Intermediate

This repository is a runnable Python MVP for portfolio and classroom practice. The default command uses only safe sample data committed to data/sample/.

Concepts Practiced

• process states
• transitions
• flow modeling
• support workflow
• automation

Repository Structure

data/
  sample/       # safe synthetic samples
  raw/          # optional external files, ignored except .gitkeep
  processed/    # generated outputs, ignored except .gitkeep
notebooks/
  01_exploracao.ipynb
scripts/
  download_data.py
src/
  main.py
charts/
reports/

Quick Start

python -m venv .venv
.venv\Scripts\activate
pip install -r requirements.txt
python -m src.main --sample

Linux/macOS activation:

source .venv/bin/activate

Safe Operations

• The CI workflow never scans live networks, scrapes sites, runs speed tests, sends packets, or calls external APIs.
• Real-world data collection, when applicable, must be performed only in authorized lab environments.
• Generated outputs are written to data/processed/, charts/, or reports/.

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Support Process Flowchart

Support-process modeling lab that renders a triage, diagnosis, resolution, and closure flowchart.

Projeto educacional inspirado na EETEPA Vilhena Alves. Nao e sistema oficial institucional e nao usa dados reais de estudantes.

Visao Geral

Codigo curricular: R-03
Curso: Tecnico em Redes de Computadores
Disciplina: Analise de Sistemas
Dificuldade: Intermediario

Este repositorio e um MVP Python executavel para portfolio e pratica em sala. O comando padrao usa apenas dados de amostra seguros em data/sample/.

Conceitos Praticados

• process states
• transitions
• flow modeling
• support workflow
• automation

Como Rodar

python -m venv .venv
.venv\Scripts\activate
pip install -r requirements.txt
python -m src.main --sample

Operacao Segura

• O CI nunca varre redes reais, faz scraping, executa speed tests, envia pacotes ou chama APIs externas.
• Coleta real de dados, quando aplicavel, deve ocorrer apenas em ambientes de laboratorio autorizados.
• Saidas geradas ficam em data/processed/, charts/ ou reports/.

License

MIT. See LICENSE.