mirror of https://github.com/Nonannet/pyladoc.git
115 lines
3.2 KiB
Python
115 lines
3.2 KiB
Python
import pyladoc
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import matplotlib.pyplot as plt
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import pandas as pd
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from . import document_validation
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VALIDATE_HTML_CODE_ONLINE = False
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WRITE_RESULT_FILES = True
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def make_document():
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doc = pyladoc.DocumentWriter()
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doc.add_markdown("""
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# Special characters
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ö ä ü Ö Ä Ü ß @ ∆
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π ≈ ± ∆ Σ
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£ ¥ $ €
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Œ
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# Link
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This is a hyperlink: [nonan.net](https://www.nonan.net)
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# Table
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| Anz.| Typ | Beschreibung
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|----:|----------|------------------------------------
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| 12 | BK9050 | Buskoppler
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| 2 | KL1104 | 4 Digitaleingänge
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| 2 | KL2404 | 4 Digitalausgänge (0,5 A)
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| 3 | KL2424 | 4 Digitalausgänge (2 A)
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| 2 | KL4004 | 4 Analogausgänge
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| 1 | KL4002 | 2 Analogausgänge
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| 22 | KL9188 | Potenzialverteilungsklemme
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| 1 | KL9100 | Potenzialeinspeiseklemme
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| 3 | KL3054 | 4 Analogeingänge
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| 5 | KL3214 | PT100 4 Temperatureingänge (3-Leiter)
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| 3 | KL3202 | PT100 2 Temperatureingänge (3-Leiter)
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| 1 | KL2404 | 4 Digitalausgänge
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| 2 | KL9010 | Endklemme
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---
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# Equations
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This line represents a reference to the equation @eq:test1.
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""")
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doc.add_equation(r'y = a + b * \sum_{i=0}^{\infty} a_i x^i', 'test1')
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# Figure
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fig, ax = plt.subplots()
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fruits = ['apple', 'blueberry', 'cherry', 'orange']
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counts = [40, 100, 30, 55]
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bar_labels = ['red', 'blue', '_red', 'orange']
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bar_colors = ['tab:red', 'tab:blue', 'tab:red', 'tab:orange']
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ax.bar(fruits, counts, label=bar_labels, color=bar_colors)
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ax.set_ylabel('fruit supply')
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ax.set_title('Fruit supply by kind and color')
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ax.legend(title='Fruit color')
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doc.add_diagram(fig, 'Bar chart with individual bar colors')
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# Table
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mydataset = {
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'Row1': ["Line1", "Line2", "Line3", "Line4", "Line5"],
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'Row2': [120, '95 km/h', 110, '105 km/h', 130],
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'Row3': ['12 g/km', '> 150 g/km', '110 g/km', '1140 g/km', '13.05 g/km'],
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'Row4': ['5 stars', '4 stars', '5 stars', '4.5 stars', '5 stars'],
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'Row5': [3.5, 7.8, 8.5, 6.9, 4.2],
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'Row6': ['1850 kg', '1500 kg', '1400 kg', '1600 kg', '1700 kg'],
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'Row7': ['600 Nm', '250 Nm', '280 Nm', '320 Nm', '450 Nm']
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}
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df = pd.DataFrame(mydataset)
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doc.add_table(df.style.hide(axis="index"), 'This is a example table', 'example1')
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return doc
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def test_html_render():
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doc = make_document()
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html_code = doc.to_html()
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document_validation.validate_html(html_code, VALIDATE_HTML_CODE_ONLINE)
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title = 'Test HTML Render 2'
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if WRITE_RESULT_FILES:
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with open('tests/out/test_html_render2.html', 'w', encoding='utf-8') as f:
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f.write(pyladoc.inject_to_template({'CONTENT': html_code}, internal_template='templates/test_template.html'))
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def test_latex_render():
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doc = make_document()
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if WRITE_RESULT_FILES:
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with open('tests/out/test_html_render2.tex', 'w', encoding='utf-8') as f:
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f.write(doc.to_latex())
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assert doc.to_pdf('tests/out/test_latex_render2.pdf', font_family='serif')
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else:
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assert doc.to_pdf('', font_family='serif') # Write only to temp folder
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if __name__ == '__main__':
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test_html_render()
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test_latex_render()
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