Automating Environmental Reporting with Python

Category: Scientific Reporting Automation
Tags: Python, automated reporting, environmental reports, data pipelines, reproducibility

From Validated Data to Regulatory Reports

Environmental reporting is often the most time-critical stage of a data workflow.

Manual report generation introduces delays, inconsistencies, and avoidable errors.

To address this, I developed a Python-based automated reporting system at Brussels Environment.

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The Challenge

Traditional reporting workflows involve:

• Manual data transfer
• Repetitive formatting
• High risk of copy-paste errors
• Tight regulatory deadlines

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The Solution

I designed a Python automation system that:

• Transfers validated data into predefined report templates
• Ensures numerical and structural consistency
• Produces publication-ready reports automatically
• Integrates seamlessly with upstream data pipelines

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Code Example: Generating a Report from a Template

python
from docxtpl import DocxTemplate

doc = DocxTemplate("EQS_Template.docx")

context = {
    "chemical": "Benzene",
    "annual_avg": 2.06,
    "eqs_limit": 5.0,
    "status": "Compliant"
}

doc.render(context)
doc.save("EQS_Report_Benzene.docx")

def generate_report(data):
    doc = DocxTemplate("EQS_Template.docx")
    doc.render(data)
    doc.save(f"Report_{data['chemical']}.docx")

generate_report({
    "chemical": "Benzene",
    "annual_avg": 2.06,
    "eqs_limit": 5.0,
    "status": "Compliant"
})