import os
import requests
from datetime import datetime
import fitz # PyMuPDF
import pytesseract
from PIL import Image
from open_webui.apps.webui.models.tools import ToolForm, ToolModel, ToolResponse, Tools
from open_webui.apps.webui.models.users import Users
from pathlib import Path
from typing import Optional
from open_webui.apps.webui.models.tools import ToolForm, ToolModel, ToolResponse, Tools
from open_webui.apps.webui.utils import load_toolkit_module_by_id, replace_imports
from open_webui.config import CACHE_DIR, DATA_DIR
from typing import Optional
from open_webui.apps.webui.models.models import (
ModelForm,
ModelModel,
ModelResponse,
Models,
)
from open_webui.constants import ERROR_MESSAGES
from fastapi import APIRouter, Depends, HTTPException, Request, status
from open_webui.utils.utils import get_admin_user, get_verified_user
class Tools:
def __init__(self):
# Specify the Tesseract-OCR executable path
pytesseract.pytesseract.tesseract_cmd = r"C://Users//muhammad.tayyab//AppData//Local//Programs//Tesseract-OCR//tesseract.exe"
def get_user_name_and_email_and_id(self, __user__: dict = {}) -> str:
"""
Get the user name, Email and ID from the user object.
"""
print(__user__)
result = ""
if "name" in __user__:
result += f"User: {__user__['name']}"
if "id" in __user__:
result += f" (ID: {__user__['id']})"
if "email" in __user__:
result += f" (Email: {__user__['email']})"
if result == "":
result = "User: Unknown"
return result
def get_current_time(self) -> str:
"""
Get the current time in a more human-readable format.
:return: The current time.
"""
now = datetime.now()
current_time = now.strftime("%I:%M:%S %p")
current_date = now.strftime("%A, %B %d, %Y")
return f"Current Date and Time = {current_date}, {current_time}"
def calculator(self, equation: str) -> str:
"""
Calculate the result of an equation.
:param equation: The equation to calculate.
"""
try:
result = eval(equation)
return f"{equation} = {result}"
except Exception as e:
print(e)
return "Invalid equation"
def get_current_weather(self, city: str) -> str:
"""
Get the current weather for a given city.
:param city: The name of the city to get the weather for.
:return: The current weather information or an error message.
"""
api_key = os.getenv("OPENWEATHER_API_KEY")
if not api_key:
return (
"API key is not set in the environment variable 'OPENWEATHER_API_KEY'."
)
base_url = "http://api.openweathermap.org/data/2.5/weather"
params = {
"q": city,
"appid": api_key,
"units": "metric",
}
try:
response = requests.get(base_url, params=params)
response.raise_for_status()
data = response.json()
if data.get("cod") != 200:
return f"Error fetching weather data: {data.get('message')}"
weather_description = data["weather"][0]["description"]
temperature = data["main"]["temp"]
humidity = data["main"]["humidity"]
wind_speed = data["wind"]["speed"]
return f"Weather in {city}: {temperature}°C"
except requests.RequestException as e:
return f"Error fetching weather data: {str(e)}"
def extract_text_from_pdf(self, pdf_path: str) -> str:
"""
Extract text from a scanned PDF file using OCR.
:param pdf_path: Path to the PDF file.
:return: Extracted text from the PDF.
"""
extracted_text = ""
try:
# Open the PDF file
pdf_document = fitz.open(pdf_path)
for page_num in range(len(pdf_document)):
# Get the page
page = pdf_document[page_num]
# Render the page to an image
pix = page.get_pixmap()
# Convert the image to a PIL Image
img = Image.frombytes("RGB", [pix.width, pix.height], pix.samples)
# Use pytesseract to do OCR on the image
text = pytesseract.image_to_string(img)
extracted_text += f"Page {page_num + 1}:\n{text}\n\n"
pdf_document.close()
except Exception as e:
return f"Error extracting text from PDF: {str(e)}"
return extracted_text.strip() # Return extracted text without trailing spaces
# Example of usage
if __name__ == "__main__":
tools = Tools()
upload_directory = "/app/backend/data/uploads/"
# List all PDF files in the upload directory
for filename in os.listdir(upload_directory):
if filename.endswith(".pdf"):
pdf_path = os.path.join(upload_directory, filename)
extracted_text = tools.extract_text_from_pdf(pdf_path)
print(f"Extracted text from {filename}:\n{extracted_text}\n{'-' * 40}\n")
