Silas Brito
103 lines
4.5 KiB
Markdown
103 lines
4.5 KiB
Markdown
Markdown
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# Software Requirements Specification (SRS) - v2.0
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## Project Name: NetBackup Log Insights & Action Tracker (Docker & Gitea Edition)
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## Target Environment: Docker Container for VPS Deployment
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## IDE Target: Antigravity IDE
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---
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## 1. Executive Summary & New Objectives
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The objective is to build a modern, containerized backup management dashboard using Python, Streamlit, and SQLite. The system processes NetBackup "Job Summary" CSV exports, segregates infrastructure cloud zones, cross-references transient errors with automatic successes, tracks manual operational actions, and exports standardized PDF mitigation reports.
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---
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## 2. Infrastructure & Portability Guardrails (Docker Shift)
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### 2.1 Containerization Deployment
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* **Base Image:** `python:3.11-slim` (to keep the cloud footprint minimal).
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* **Port Configuration:** Expose port `8501` internally, mapped via Docker Compose.
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* **Volume Mapping:** Data persistence must be maintained by mapping a host directory to the container’s internal storage path (`/app/data`).
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### 2.2 Advanced Database Architecture & Persistence
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* **Database File:** `/app/data/nbu_insights.db` (Mapped volume).
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* **Historical Traceability:** Data uploaded via CSV must be completely persisted. If a new CSV is processed, the system must perform an `UPSERT` operation based on the unique key `(Job Id, Client, Policy)` to preserve historical runs and ensure that previously typed mitigation actions are never overwritten.
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```sql
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CREATE TABLE IF NOT EXISTS processed_files (
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file_hash TEXT PRIMARY KEY,
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file_name TEXT,
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upload_date TIMESTAMP DEFAULT CURRENT_TIMESTAMP
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);
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CREATE TABLE IF NOT EXISTS backup_jobs (
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job_id INTEGER PRIMARY KEY,
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client TEXT,
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policy TEXT,
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type TEXT,
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exit_code INTEGER,
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start_time TIMESTAMP,
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finish_time TIMESTAMP,
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duration_secs INTEGER,
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mbytes REAL,
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files_count INTEGER,
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primary_server TEXT,
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media_server TEXT,
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is_rerun_success INTEGER DEFAULT 0
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);
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CREATE TABLE IF NOT EXISTS job_actions (
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job_id INTEGER PRIMARY KEY,
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action_taken TEXT,
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status TEXT DEFAULT 'Pendente', -- Enum: 'Pendente', 'Em Progresso', 'Resolvido'
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updated_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
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FOREIGN KEY(job_id) REFERENCES backup_jobs(job_id)
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);
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3. UI/UX Design & Branding Strategy (CXP-Inspired Dark Tech)
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Primary Background: #0B0F19 (Deep Midnight Blue)
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Card / Container Background: #1E2640 (Slate Corporate Blue)
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Primary Accent: #00D2FF (Vibrant Cyan)
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Typography Hierarchy: Clean, highly visible tech elements with colored status badges (#00C853 for active success, #FF4B4B for unmitigated failure).
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4. Full Functional Requirements & Data Insights Engine
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4.1 Ingestion & Cleansing Pipeline
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CSV Offset: Dynamically strip metadata row 0 (###################### TABLE...).
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Metric Extraction: Auto-calculate MSDP Deduplication Ratio and Savings. Show globally and separate per Primary Server.
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4.2 Multi-Cloud Tenant Views (Sidebar Selector)
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Consolidated View: Combined global metrics.
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Azure Infrastructure Zone: Filters data where Primary Server == 'srvpalcvnbu01.elo.corp'.
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OCI Infrastructure Zone: Filters data where Primary Server == 'srvpalcocinbupri01.elo.corp'.
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4.3 Advanced Rerun & Target Resolution Analytics
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Automated Clearing: If a job fails (Exit Code > 1) but the same Client and Policy have a subsequent successful job (Exit Code 0 or 1) inside the logs, flag it automatically as [✓ Reexecutado com Sucesso].
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State Filtering: Create a dedicated filter to view:
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Todos os Erros
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Erros Sem Tratativa / Pendentes
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Erros Corrigidos Automatizados (Reexecutados)
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4.4 Action Register & PDF Mitigation Report Engine
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Form Action: Input text fields for engineers to log infrastructure actions (e.g., "Adjusted firewall rules on port 1556", "Expanded snapshot window").
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PDF Generation Engine: Integrating the fpdf2 or reportlab library. Clicking "Exportar Plano de Mitigação PDF" triggers a compiled file containing a professional summary header, performance graphs metrics, and a clean table of all logged actions and resolutions.
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5. Repository File Layout
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Plaintext
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netbackup-insights/
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│
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├── app.py # Main UI Orchestrator
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├── database.py # SQLite Connection & Upsert Engine
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├── parser.py # Pandas Data Cleansing and Ratio Math
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├── report_gen.py # PDF Layout Compilation Engine
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├── requirements.txt # Python Dependencies
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├── Dockerfile # App Container Specification
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└── docker-compose.yml # Multi-environment VPS deployment spec |