Four Steps to Automate Data Report Generation
The traditional manual production of weekly/monthly reports suffers from much duplication of effort and poor visualization, which can be achieved by using easy-llm-cli's MCP server integration:
1. Preparation of basic data
Pass CSV data through the pipeline:
cat sales.csv | elc "生成2024Q2销售趋势分析"
The tool will automatically:
- Identify data field types
- Calculation of year-on-year/period
- Extraction of key indicators
2. Visualization enhancements
increase--visualizeparameter triggers chart generation:
elc "展示各区域销售额占比" --visualize pie
Support output:
- Matplotlib-based static maps
- Plotly Interactive Charting (requires MCP server configuration)
- ASCII-style command-line diagrams
3. Multi-format export
Generate reports in different formats through redirection:
elc "生成markdown格式周报" > weekly.md
elc "生成PPT大纲" --format pptx > slides.pptx
4. Timing automation
Combined with crontab to automate the generation of daily reports:
0 9 * * * cd /reports && elc "生成销售日报" --source-db=prod > daily_$(date +%F).md
Advanced Tips:
- utilization--templateParameters apply to the company's standard templates
- Recommended settings for financial data--precision=2Guaranteed decimal accuracy
- Sensitive data available--anonymizeAutomatic parameter desensitization
This answer comes from the articleeasy-llm-cli: enable Gemini CLI support for calling multiple large language modelsThe
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