65 lines
2.1 KiB
Python
65 lines
2.1 KiB
Python
import os.path
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import pytesseract
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import requests
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import docx
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import xml.etree.ElementTree as ET
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from PyPDF2 import PdfReader
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from swagger_server.classla import cl_utils
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import cv2
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import numpy as np
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tika_server = "http://tika2:9999/tika"
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# endpoint below to be used only for development purposes (don't need to run docker)
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# tika_server = "http://rsdo.lhrs.feri.um.si:9998/tika"
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def extract_text_prepResp(file):
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if tika_responding():
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response = requests.put(tika_server, data=file)
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return response.text, 200
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if "openxmlformats-officedocument.wordprocessingml.document" in file.content_type:
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content = '\n'.join([p.text for p in docx.Document(file).paragraphs])
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elif "application/pdf" in file.content_type:
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reader = PdfReader(file)
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content = '\n'.join([p.extract_text() for p in reader.pages])
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content = content
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elif "text/xml" in file.content_type:
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root = ET.parse(file).getroot()
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plainText = root.findall('PlainText')
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if len(plainText) == 0:
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return "Didn't find anything in PlainText", 400
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content = '\n'.join([pt.text for pt in plainText])
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# elif "text/plain" in file.content_type:
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else:
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content = file.read().decode('utf-8')
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return content, 200
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def ocr_text_prepResp(file):
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if tika_responding():
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response = requests.put(tika_server, data=file,
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headers={"X-Tika-PDFOcrStrategy": "ocr_only", "X-Tika-OCRLanguage": "slv+eng"})
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return response.text, 200
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win_p = "C:/Program Files/Tesseract-OCR/tesseract.exe"
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if os.path.exists(win_p):
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pytesseract.pytesseract.tesseract_cmd = win_p
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# convert string data to numpy array
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file_bytes = np.fromstring(file.read(), np.uint8)
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# convert numpy array to image
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img = cv2.imdecode(file_bytes, cv2.IMREAD_COLOR)
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conf = '-l eng+slv'
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return pytesseract.image_to_string(img, config=conf), 200
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def tika_responding():
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try:
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ret = requests.get(tika_server)
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return ret.status_code == 200
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except:
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return False |