glpi-followup-translate 0.1.0

Auto-translate GLPI ticket followups using local Ollama LLM

GLPI Followup Translate

Auto-translate GLPI tickets using a local Ollama LLM. Detects Chinese or English content and translates bidirectionally (zh ↔ en). Works with ticket names, descriptions, and followups.

📖 English | 简体中文

Features

• 🔄 Daemon or one-shot — polling loop or single-pass mode
• 🌐 Language detection — auto-detects Chinese and English
• 🔀 Bidirectional — zh-cn → en, en → zh-cn
• 📝 Preserves original — translation appended, never overwritten
• 🎨 Rich-text aware — HTML formatting (<strong>, <em>, <span style="...">, colors, font sizes) is preserved in translations
• 🚫 Dedup — content-hash state tracking prevents duplicate translations
• ⚙️ Configurable — polling interval, model, language pairs, min text length
• 💻 Cross-platform — Windows, Linux, macOS

Translation Format

Field	Format
Title	原始标题 / Translated title
Description (rich text)	<p>原始内容</p><br><br><p><strong>[AUTO-TRANSLATED]</strong></p><p>翻译内容</p>
Description (plain text)	原始内容\n\n[AUTO-TRANSLATED]\n翻译内容
Followup	Same as description — rich text or plain text depending on content

Example — Title

服务器无法连接数据库 / The server cannot connect to the database

Example — Rich-Text Description

<p><strong>生产环境</strong>服务器无法连接到
<span style="color: rgb(255, 0, 0);">MySQL数据库</span>。</p>
<br><br>
<p><strong>[AUTO-TRANSLATED]</strong></p>
<p><strong>Production environment</strong> server cannot connect to the
<span style="color: rgb(255, 0, 0);">MySQL database</span>.</p>

Example — Plain-Text Followup

检查了防火墙规则，发现3306端口被意外关闭。

[AUTO-TRANSLATED]
Checked the firewall rules and found that port 3306 was accidentally closed.

Requirements

• Python 3.9+
• Ollama installed and running
• GLPI instance with API v2.3 and OAuth2 enabled

Quick Start

Option A: pip install (recommended)

# Install from PyPI
pip install glpi-followup-translate

# Pull the translation model
ollama pull kaelri/hy-mt2:1.8b

# Create config in current directory
cp config.yaml.example config.yaml
# Edit config.yaml with your GLPI credentials

# Run
glpi-followup-translate              # daemon mode
glpi-followup-translate --once      # single pass
glpi-followup-translate -c /path/to/config.yaml  # custom config path

Option B: Development / source install

# Clone
git clone https://github.com/TonyBlur/glpi-followup-translate.git
cd glpi-followup-translate

# Editable install (recommended for development)
pip install -e .

# Or install dependencies only
pip install -r requirements.txt

# Pull the translation model
ollama pull kaelri/hy-mt2:1.8b

# Configure
cp config.yaml.example config.yaml
# Edit config.yaml with your GLPI credentials

# Run
glpi-followup-translate                 # CLI command
python -m glpi_followup_translate       # or via python module
glpi-followup-translate --once          # single pass

Configuration

Copy config.yaml.example to config.yaml and edit:

glpi:
  api_url: "http://your-glpi-server/api.php/v2.3"
  auth_method: "oauth2_password"
  client_id: "your_client_id"
  client_secret: "your_client_secret"
  username: "your_glpi_username"
  password: "your_glpi_password"

ollama:
  api_url: "http://localhost:11434"
  model: "kaelri/hy-mt2:1.8b"
  timeout: 60

polling:
  interval: 60          # seconds between checks

translation:
  prefix: "[AUTO-TRANSLATED]"
  min_text_length: 0    # 0 = translate any length
  source_languages:
    - "zh-cn"
    - "zh"
    - "en"
  target_language:
    zh-cn: "en"
    zh: "en"
    en: "zh-cn"

logging:
  level: "INFO"
  file: "glpi-translate.log"

Option	Description	Default
glpi.api_url	GLPI API endpoint	—
glpi.auth_method	oauth2_password or app_token	oauth2_password
glpi.client_id	OAuth2 Client ID	—
glpi.client_secret	OAuth2 Client Secret	—
glpi.username	GLPI login username (oauth2_password)	—
glpi.password	GLPI login password (oauth2_password)	—
ollama.api_url	Ollama API URL	http://localhost:11434
ollama.model	Translation model	kaelri/hy-mt2:1.8b
ollama.timeout	Request timeout (seconds)	60
polling.interval	Polling interval (seconds)	60
translation.prefix	Translation separator marker	[AUTO-TRANSLATED]
translation.min_text_length	Min plain-text length to translate (0 = no limit)	0
translation.source_languages	Language codes to detect	["zh-cn", "zh", "en"]
translation.target_language	Source→target language mapping	zh-cn→en, zh→en, en→zh-cn
logging.level	Log level (DEBUG, INFO, WARNING, ERROR)	INFO
logging.file	Log file path	glpi-translate.log

Testing

Single ticket test

python test_single_ticket.py

Creates one test ticket with rich-text (HTML) content and mixed Chinese/English followups, then runs one translation pass and verifies the format.

The script will:

1. Check Ollama connectivity
2. Test GLPI authentication
3. Create a test ticket with HTML-formatted description
4. Add 3 followups (plain text and HTML)
5. Run one translation pass
6. Display translated results
7. Verify format correctness (title: / separator, HTML: <br> separators, plain: \n\n separators)

Multi-ticket test

python test_translate.py

Creates 3 test tickets with bilingual followups to verify end-to-end translation. This script cleans up old test tickets first, then:

1. Check Ollama and GLPI connectivity
2. Delete existing test tickets
3. Create 3 tickets with Chinese/English content
4. Add bilingual followups to each ticket
5. Run one translation pass with debug logging
6. Display all translated results

Project Structure

glpi-followup-translate/
├── glpi_followup_translate/
│   ├── __init__.py
│   ├── __main__.py         # entry point
│   ├── config.py           # YAML config loader
│   ├── glpi_client.py      # GLPI REST API v2.3 client
│   ├── main.py             # daemon loop, translation logic
│   └── ollama_client.py    # Ollama API client
├── config.yaml.example     # config template (safe to commit)
├── pyproject.toml          # pip package configuration
├── requirements.txt
├── test_single_ticket.py   # quick single-ticket test
├── test_translate.py       # multi-ticket test suite
├── README.md
├── README.zh-CN.md
└── CLAUDE.md

License

MIT