Automate Database Operations with LibreOffice Base
LibreOffice Base skill for creating ODB databases, connecting to MySQL/PostgreSQL, and building database applications via command-line or Python UNO.
Why it matters
Leverage LibreOffice Base to create, manage, and automate database workflows. Connect to various external databases and automate report generation.
Outcomes
What it gets done
Create and manage ODB databases
Connect to MySQL, PostgreSQL, SQLite, and more
Automate data entry forms and custom reports
Execute SQL queries and batch data processing
Install
Add it to your toolbox
Run in your project directory:
curl -fsSL https://spark.entire.vc/get/ag-base | bash Capabilities
What this skill does
Writes and executes SQL or NoSQL queries on databases.
Moves and transforms data between systems on a schedule.
Pulls structured data fields from unstructured text.
Writes source code or scripts from a description.
Overview
LibreOffice Base
What it does
LibreOffice Base skill for creating and managing ODB databases with external database connectivity
How it connects
Use when you need to create ODB databases, connect to MySQL/PostgreSQL/SQLite, or build database applications with Python UNO scripting
Source README
LibreOffice Base
Overview
LibreOffice Base skill for creating, managing, and automating database workflows using the native ODB (OpenDocument Database) format.
When to Use This Skill
Use this skill when:
- Creating new databases in ODB format
- Connecting to external databases (MySQL, PostgreSQL, etc.)
- Automating database operations and reports
- Creating forms and reports
- Building database applications
Core Capabilities
1. Database Creation
- Create new ODB databases from scratch
- Design tables, views, and relationships
- Create embedded HSQLDB/Firebird databases
- Connect to external databases
2. Data Operations
- Import data from CSV, spreadsheets
- Export data to various formats
- Query execution and management
- Batch data processing
3. Form and Report Automation
- Create data entry forms
- Design custom reports
- Automate report generation
- Build form templates
4. Query and SQL
- Visual query design
- SQL query execution
- Query optimization
- Result set manipulation
5. Integration
- Command-line automation
- Python scripting with UNO
- JDBC/ODBC connectivity
Workflows
Creating a New Database
Method 1: Command-Line
soffice --base
Method 2: Python with UNO
import uno
def create_database():
local_ctx = uno.getComponentContext()
resolver = local_ctx.ServiceManager.createInstanceWithContext(
"com.sun.star.bridge.UnoUrlResolver", local_ctx
)
ctx = resolver.resolve(
"uno:socket,host=localhost,port=8100;urp;StarOffice.ComponentContext"
)
smgr = ctx.ServiceManager
doc = smgr.createInstanceWithContext("com.sun.star.sdb.DatabaseDocument", ctx)
doc.storeToURL("file:///path/to/database.odb", ())
doc.close(True)
Connecting to External Database
import uno
def connect_to_mysql(host, port, database, user, password):
local_ctx = uno.getComponentContext()
resolver = local_ctx.ServiceManager.createInstanceWithContext(
"com.sun.star.bridge.UnoUrlResolver", local_ctx
)
ctx = resolver.resolve(
"uno:socket,host=localhost,port=8100;urp;StarOffice.ComponentContext"
)
smgr = ctx.ServiceManager
doc = smgr.createInstanceWithContext("com.sun.star.sdb.DatabaseDocument", ctx)
datasource = doc.getDataSource()
datasource.URL = f"sdbc:mysql:jdbc:mysql://{host}:{port}/{database}"
datasource.Properties["UserName"] = user
datasource.Properties["Password"] = password
doc.storeToURL("file:///path/to/connected.odb", ())
return doc
Database Connection Reference
Supported Database Types
- HSQLDB (embedded)
- Firebird (embedded)
- MySQL/MariaDB
- PostgreSQL
- SQLite
- ODBC data sources
- JDBC data sources
Connection Strings
### MySQL
sdbc:mysql:jdbc:mysql://localhost:3306/database
### PostgreSQL
sdbc:postgresql://localhost:5432/database
### SQLite
sdbc:sqlite:file:///path/to/database.db
### ODBC
sdbc:odbc:DSN_NAME
Command-Line Reference
soffice --headless
soffice --base # Base
Python Libraries
pip install pyodbc # ODBC connectivity
pip install sqlalchemy # SQL toolkit
Best Practices
- Use parameterized queries
- Create indexes for performance
- Backup databases regularly
- Use transactions for data integrity
- Store ODB source files in version control
- Document database schema
- Use appropriate data types
- Handle connection errors gracefully
Troubleshooting
Cannot open socket
killall soffice.bin
soffice --headless --accept="socket,host=localhost,port=8100;urp;"
Connection Issues
- Verify database server is running
- Check connection string format
- Ensure JDBC/ODBC drivers are installed
- Verify network connectivity
Resources
Related Skills
- writer
- calc
- impress
- draw
- workflow-automation
Limitations
- Use this skill only when the task clearly matches the scope described above.
- Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
- Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.
Discussion
Questions & comments · 0
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