File size: 2,104 Bytes
81ff144 | 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 | import os
import pandas as pd
from reportlab.lib.pagesizes import letter
from reportlab.pdfgen import canvas
from datetime import datetime
import logging
logger = logging.getLogger("uvicorn")
class FileGeneratorTool:
"""
A tool that allows agents to generate PDF and Excel files.
"""
def __init__(self):
self.output_dir = "outputs"
os.makedirs(self.output_dir, exist_ok=True)
def _generate_filename(self, extension: str) -> str:
timestamp = datetime.now().strftime("%Y%m%d_%H%M%S")
return os.path.join(self.output_dir, f"report_{timestamp}.{extension}")
async def generate_pdf(self, title: str, content: str) -> str:
"""
Generates a PDF document with the provided title and content.
"""
filename = self._generate_filename("pdf")
logger.info(f"FileGenerator: Generating PDF {filename}")
try:
c = canvas.Canvas(filename, pagesize=letter)
width, height = letter
# Title
c.setFont("Helvetica-Bold", 16)
c.drawString(72, height - 72, title)
# Content (very basic wrapping/split)
c.setFont("Helvetica", 12)
text_object = c.beginText(72, height - 100)
for line in content.split('\n'):
text_object.textLine(line)
c.drawText(text_object)
c.save()
return f"PDF generated successfully: {filename}"
except Exception as e:
return f"Failed to generate PDF: {str(e)}"
async def generate_excel(self, data: list) -> str:
"""
Generates an Excel file from a list of dictionaries.
"""
filename = self._generate_filename("xlsx")
logger.info(f"FileGenerator: Generating Excel {filename}")
try:
df = pd.DataFrame(data)
df.to_excel(filename, index=False)
return f"Excel generated successfully: {filename}"
except Exception as e:
return f"Failed to generate Excel: {str(e)}"
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