pergamos 0.0.7

A lightweight dynamic module for automatic HTML reporting

Pergamos: Dynamic HTML Reporting for Python

Pergamos is a lightweight Python module for automatically generating HTML reports with support for:

• Markdown rendering 🗙️
• LaTeX equations using MathJax 💢
• Syntax-highlighted code blocks 🎨
• Tables from numpy arrays and pandas DataFrames 📊
• Static and interactive Matplotlib plots 📈

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🚀 Installation

Install via pip:

pip install pergamos

For development:

pip install -e .[dev]

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📌 Features

• 🗙️ Markdown rendering with markdown and pygments
• 🧬 LaTeX support via MathJax for equations
• 🎨 Syntax-highlighted code blocks (Python, JS, C++)
• 📊 Tables from lists, NumPy arrays, and Pandas DataFrames
• 📈 Plots using Matplotlib (both static & interactive)
• 📁 Collapsible & Tabbed Containers for better layout

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🛠 Usage Examples

1️⃣ Creating an HTML Document

import pergamos as pg

doc = pg.Document("My Report")
doc.append(pg.Text("🚀 My Dynamic Report", tag='h1'))
doc.append(pg.Text("This is a dynamically generated report using Pergamos."))

doc.save("report.html")

🔹 Generates a simple HTML report with a title and text.

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2️⃣ Adding Markdown Content

md_text = """
# Markdown Example
This is **bold**, *italic*, and `inline code`.
"""

doc.append(pg.Markdown(md_text))

🔹 Supports headings, bold, italics, and inline code.

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3️⃣ Adding a Code Block with Syntax Highlighting

code = """
```python
def hello():
    print("Hello, World!")
\```
"""
doc.append(pg.Markdown(code))

🔹 Renders Python syntax-highlighted inside a styled <pre><code> block.

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4️⃣ Rendering LaTeX Equations

doc.append(pg.Latex(r"E = mc^2", inline=True))
doc.append(pg.Latex(r"\int_a^b x^2 \,dx", inline=False))

🔹 Supports inline and block LaTeX equations.

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5️⃣ Displaying Tables

import numpy as np
import pandas as pd

array_data = np.random.randint(1, 100, (5, 5))
df = pd.DataFrame(array_data, columns=["A", "B", "C", "D", "E"])

doc.append(pg.Table(array_data))  # Numpy array
doc.append(pg.Table(df))  # Pandas DataFrame

🔹 Supports tables from lists, NumPy, and Pandas.

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6️⃣ Adding a Static Plot

import matplotlib.pyplot as plt

fig, ax = plt.subplots()
ax.plot([1, 2, 3, 4], [10, 20, 25, 30])

doc.append(pg.Plot(fig))

🔹 Renders a static Matplotlib plot as an image.

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7️⃣ Adding an Interactive Plot

doc.append(pg.InteractivePlot(fig))

🔹 Uses Mpld3 to create interactive zoomable plots.

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🏠 Development & Contribution

To contribute:

1. Clone the repo:

   git clone https://github.com/manuelblancovalentin/pergamos.git
   cd pergamos
   

2. Install dependencies:

   pip install -e .[dev]
   

3. Run tests:

   pytest
   

4. Submit a pull request 🚀

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📍 License

This project is licensed under the MIT License.

📌 GitHub Repository: Pergamos