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# import io
# from reportlab.lib.pagesizes import letter
# from reportlab.platypus import SimpleDocTemplate, Image, Paragraph, Spacer
# from reportlab.lib.styles import getSampleStyleSheet
# import matplotlib.pyplot as plt
# class ReportGenerator:
# def __init__(self):
# self.styles = getSampleStyleSheet()
# def create_combined_pdf(self, intervention_fig, student_metrics_fig, recommendations):
# buffer = io.BytesIO()
# doc = SimpleDocTemplate(buffer, pagesize=letter)
# elements = []
# # Add the intervention statistics chart
# elements.extend(self._add_chart(intervention_fig, "Intervention Statistics"))
# # Add the student metrics chart
# elements.extend(self._add_chart(student_metrics_fig, "Student Metrics"))
# # Add the AI recommendations
# elements.extend(self._add_recommendations(recommendations))
# # Build the PDF
# doc.build(elements)
# buffer.seek(0)
# return buffer
# def _add_chart(self, fig, title):
# elements = []
# elements.append(Paragraph(title, self.styles['Heading2']))
# img_buffer = io.BytesIO()
# if hasattr(fig, 'write_image'): # Plotly figure
# fig.write_image(img_buffer, format="png")
# elif isinstance(fig, plt.Figure): # Matplotlib figure
# fig.savefig(img_buffer, format='png')
# plt.close(fig) # Close the figure to free up memory
# else:
# raise ValueError(f"Unsupported figure type: {type(fig)}")
# img_buffer.seek(0)
# elements.append(Image(img_buffer, width=500, height=300))
# elements.append(Spacer(1, 12))
# return elements
# def _add_recommendations(self, recommendations):
# elements = []
# elements.append(Paragraph("AI Recommendations", self.styles['Heading1']))
# elements.append(Paragraph(recommendations, self.styles['BodyText']))
# return elements
import io
from reportlab.lib.pagesizes import letter
from reportlab.platypus import SimpleDocTemplate, Image, Paragraph, Spacer
from reportlab.lib.styles import getSampleStyleSheet, ParagraphStyle
from reportlab.lib.enums import TA_JUSTIFY
import matplotlib.pyplot as plt
import markdown
from xml.etree import ElementTree as ET
class ReportGenerator:
def __init__(self):
self.styles = getSampleStyleSheet()
self.styles.add(ParagraphStyle(name='Justify', alignment=TA_JUSTIFY))
def create_combined_pdf(self, intervention_fig, student_metrics_fig, recommendations):
buffer = io.BytesIO()
doc = SimpleDocTemplate(buffer, pagesize=letter)
elements = []
elements.extend(self._add_chart(intervention_fig, "Intervention Statistics"))
elements.extend(self._add_chart(student_metrics_fig, "Student Metrics"))
elements.extend(self._add_recommendations(recommendations))
doc.build(elements)
buffer.seek(0)
return buffer
def _add_chart(self, fig, title):
elements = []
elements.append(Paragraph(title, self.styles['Heading2']))
img_buffer = io.BytesIO()
if hasattr(fig, 'write_image'): # Plotly figure
fig.write_image(img_buffer, format="png", width=700, height=400)
elif isinstance(fig, plt.Figure): # Matplotlib figure
fig.set_size_inches(10, 6) # Set a consistent size
fig.savefig(img_buffer, format='png', dpi=100, bbox_inches='tight')
plt.close(fig)
else:
raise ValueError(f"Unsupported figure type: {type(fig)}")
img_buffer.seek(0)
elements.append(Image(img_buffer, width=500, height=300, keepAspectRatio=True))
elements.append(Spacer(1, 12))
return elements
def _add_recommendations(self, recommendations):
elements = []
elements.append(Paragraph("AI Recommendations", self.styles['Heading1']))
# Convert markdown to HTML
html = markdown.markdown(recommendations)
# Parse HTML and convert to ReportLab paragraphs
root = ET.fromstring(html)
for elem in root.iter():
if elem.tag == 'h3':
elements.append(Paragraph(elem.text, self.styles['Heading3']))
elif elem.tag == 'h4':
elements.append(Paragraph(elem.text, self.styles['Heading4']))
elif elem.tag == 'p':
elements.append(Paragraph(ET.tostring(elem, encoding='unicode', method='text'), self.styles['Justify']))
elif elem.tag == 'ul':
for li in elem.findall('li'):
bullet_text = '• ' + ET.tostring(li, encoding='unicode', method='text').strip()
elements.append(Paragraph(bullet_text, self.styles['BodyText']))
return elements |