38 lines
970 B
Python
38 lines
970 B
Python
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from jinja2 import Environment, FileSystemLoader
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from weasyprint import HTML
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import matplotlib.pyplot as plt
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import os
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# 1. Generate a chart with matplotlib
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os.makedirs("static/charts", exist_ok=True)
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chart_path = "static/charts/resp_chart.png"
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plt.plot([1, 2, 3, 4], [1, 4, 2, 5], label="Breath Volume")
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plt.legend()
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plt.title("Respiratory Chart")
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plt.savefig(chart_path)
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plt.close()
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# 2. Patient data (this would usually come from your DB)
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patient_data = {
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"name": "Keirstyn Moran",
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"age": 34,
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"height": 163,
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"weight": 56
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}
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context = {
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"patient": patient_data,
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"indications": "No Respiratory Capacity Limitation",
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"chart_path": chart_path
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}
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# 3. Render Jinja2 template
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env = Environment(loader=FileSystemLoader("templates"))
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template = env.get_template("report.html")
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html_out = template.render(context)
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# 4. Generate PDF
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HTML(string=html_out, base_url=".").write_pdf("lung_report.pdf")
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print("✅ Report generated: lung_report.pdf")
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