File size: 2,638 Bytes
331bca3 14b30d3 331bca3 ffe9ca8 331bca3 ffe9ca8 331bca3 ffe9ca8 331bca3 ffe9ca8 331bca3 7a08270 ffe9ca8 331bca3 ffe9ca8 331bca3 14b30d3 7a08270 14b30d3 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 |
import csv
from openpyxl import Workbook
from fpdf import FPDF
import matplotlib.pyplot as plt
def generate_csv_report(filename="report.csv", subject=None):
"""Generate a CSV report with dynamic content based on the subject."""
if subject is None:
subject = "Default Report"
data = [
["Subject", subject],
["Metric", "Value"],
["Metric 1", len(subject) * 2],
["Metric 2", len(subject) * 3],
["Metric 3", len(subject) * 4],
["Remarks", "Auto-generated CSV report based on subject."]
]
with open(filename, mode="w", newline="") as f:
writer = csv.writer(f)
writer.writerows(data)
return filename
def generate_xlsx_report(filename="report.xlsx", subject=None):
"""Generate an XLSX report with dynamic content based on the subject."""
if subject is None:
subject = "Default Report"
wb = Workbook()
ws = wb.active
ws.append(["Subject", subject])
ws.append(["Metric", "Value"])
ws.append(["Metric 1", len(subject) * 2])
ws.append(["Metric 2", len(subject) * 3])
ws.append(["Metric 3", len(subject) * 4])
ws.append(["Remarks", "Auto-generated XLSX report based on subject."])
wb.save(filename)
return filename
def generate_pdf_report(filename="report.pdf", subject=None):
"""Generate a PDF report with dynamic content based on the subject."""
if subject is None:
subject = "Default Report"
pdf = FPDF()
pdf.add_page()
pdf.set_font("Arial", size=12)
# Header
pdf.cell(200, 10, txt=f"Report on: {subject}", ln=True)
pdf.ln(10)
# Dynamic content
content = (
f"This report covers the subject: {subject}.\n\n"
f"Key Data Points:\n"
f" - Data Point 1: {len(subject) * 2}\n"
f" - Data Point 2: {len(subject) * 3}\n"
f" - Data Point 3: {len(subject) * 4}\n\n"
"Analysis: The metrics above are derived from the length of the subject string as a placeholder for real data. "
"In a real application, this section would include in-depth analysis and relevant charts."
)
pdf.multi_cell(0, 10, txt=content)
pdf.output(filename)
return filename
def generate_diagram_report(filename="diagram.png"):
"""Generate a sample diagram using matplotlib and return its filename."""
labels = ["A", "B", "C", "D"]
values = [10, 24, 36, 18]
plt.figure(figsize=(6, 4))
plt.bar(labels, values, color='skyblue')
plt.title("Sample Diagram")
plt.xlabel("Category")
plt.ylabel("Value")
plt.tight_layout()
plt.savefig(filename)
plt.close()
return filename
|