tika update
This commit is contained in:
@@ -19,6 +19,9 @@ RUN python -m pip install -r requirements.txt
|
||||
WORKDIR /app
|
||||
COPY . /app
|
||||
|
||||
|
||||
ADD https://kt-cloud.ijs.si/index.php/s/T4qtSKxbxgqr6c5/download/pytorch_model.bin ./model/term_extractor/
|
||||
|
||||
# Creates a non-root user with an explicit UID and adds permission to access the /app folder
|
||||
# For more info, please refer to https://aka.ms/vscode-docker-python-configure-containers
|
||||
RUN adduser -u 5678 --disabled-password --gecos "" appuser && chown -R appuser /app
|
||||
|
||||
+2
-3
@@ -1,12 +1,11 @@
|
||||
FROM python:3.9
|
||||
|
||||
RUN mkdir -p /usr/src/app
|
||||
WORKDIR /usr/src/app
|
||||
|
||||
RUN apt-get update && apt-get install python3-pil tesseract-ocr libtesseract-dev tesseract-ocr-eng tesseract-ocr-slv tesseract-ocr-script-latn ffmpeg libsm6 libxext6 libgl1 libmagic1 -y
|
||||
|
||||
RUN mkdir -p /usr/src/app
|
||||
WORKDIR /usr/src/app
|
||||
COPY requirements.txt /usr/src/app/
|
||||
|
||||
# RUN pip install --upgrade pip
|
||||
RUN pip3 install --no-cache-dir -r requirements.txt
|
||||
|
||||
|
||||
+4
-4
@@ -8,7 +8,7 @@ services:
|
||||
- "8080:8080"
|
||||
volumes: # when pushing to server, remove the first dot here in front of /mnt
|
||||
- /mnt/ssd/ds_ftp/classla_OS2022:/usr/src/app/classla_OS2022
|
||||
- ./swagger_server/classla/classla_resources:/root/classla_resources
|
||||
- ../classla/classla_resources:/root/classla_resources
|
||||
environment:
|
||||
- PYTHONUNBUFFERED=1
|
||||
tika2:
|
||||
@@ -20,7 +20,7 @@ services:
|
||||
ate-api:
|
||||
build: ./ATEapi
|
||||
restart: always
|
||||
ports:
|
||||
- "5000:5000"
|
||||
# ports:
|
||||
# - "5000:5000"
|
||||
volumes:
|
||||
- ./swagger_server/classla/classla_resources:/home/appuser/classla_resources
|
||||
- ../classla/classla_resources:/home/appuser/classla_resources
|
||||
@@ -2,7 +2,7 @@ import connexion
|
||||
import json
|
||||
from pathlib import Path
|
||||
from swagger_server.models.izlusci_body import IzlusciBody # noqa: E501
|
||||
from swagger_server.classla import cl_utils
|
||||
from swagger_server.utils import cl_utils
|
||||
import requests
|
||||
|
||||
# ATEapi_endpoint = "http://localhost:5000/predict"
|
||||
|
||||
@@ -7,7 +7,7 @@ import concurrent.futures as cf
|
||||
from swagger_server.models.job_response import JobResponse # noqa: E501
|
||||
from swagger_server.requets_db.models.vrsta import (Job)
|
||||
from threading import Thread
|
||||
from swagger_server.classla import cl_utils
|
||||
from swagger_server.utils import cl_utils
|
||||
from swagger_server.utils import txt_utils
|
||||
from werkzeug.datastructures import FileStorage
|
||||
import threading
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
from swagger_server.classla import cl_utils
|
||||
from swagger_server.utils import cl_utils
|
||||
from swagger_server.utils import txt_utils
|
||||
|
||||
|
||||
@@ -38,6 +38,7 @@ def datoteka_v_besedilo_sync_post(file=None): # noqa: E501
|
||||
try:
|
||||
return txt_utils.extract_text_prepResp(file)
|
||||
except Exception as e:
|
||||
print(e)
|
||||
return str(e), 500
|
||||
|
||||
|
||||
|
||||
@@ -0,0 +1,34 @@
|
||||
import classla
|
||||
import time
|
||||
from swagger_server import util
|
||||
from pathlib import Path
|
||||
import re
|
||||
|
||||
nlp_loaded = False
|
||||
nlpSlo = classla.Pipeline('sl', processors='tokenize,ner,pos,lemma,depparse')
|
||||
nlp_loaded = True
|
||||
|
||||
sent_extractor = re.compile(r"# sent_id = \d+\.\d+(.*?)\n\n", re.MULTILINE | re.DOTALL)
|
||||
|
||||
def raw_text_to_conllu(text):
|
||||
try:
|
||||
docall = nlpSlo(text)
|
||||
docallconllu = docall.to_conll()
|
||||
|
||||
return docallconllu, 200
|
||||
except Exception as e:
|
||||
return e, 400
|
||||
|
||||
|
||||
def multipla_conllus_to_one_from_file_ids(list_file_ids):
|
||||
sent_cnt = 1
|
||||
ret = "# newpar id = 1\n"
|
||||
files = [f'{util.get_conllu_file_path_by_id(i)}' for i in list_file_ids]
|
||||
for file in files:
|
||||
txt = Path(file).read_text('utf-8')
|
||||
matches = sent_extractor.finditer(txt)
|
||||
for match in matches:
|
||||
ret += f'# sent_id = 1.{sent_cnt}{match.group(1)}\n\n'
|
||||
sent_cnt += 1
|
||||
|
||||
return ret
|
||||
@@ -5,7 +5,7 @@ import requests
|
||||
import docx
|
||||
import xml.etree.ElementTree as ET
|
||||
from PyPDF2 import PdfReader
|
||||
from swagger_server.classla import cl_utils
|
||||
from swagger_server.utils import cl_utils
|
||||
import cv2
|
||||
import numpy as np
|
||||
import magic
|
||||
@@ -22,7 +22,7 @@ def extract_text_prepResp(file, content_type=""):
|
||||
content_type = magic.from_file(file.stream.name, mime=True)
|
||||
|
||||
if tika_responding():
|
||||
response = requests.put(tika_server, data=file)
|
||||
response = requests.put(tika_server, data=file, headers={"Accept": "text/plain; charset=UTF-8"})
|
||||
return response.text, 200
|
||||
if "openxmlformats-officedocument.wordprocessingml.document" in content_type:
|
||||
content = '\n'.join([p.text for p in docx.Document(file).paragraphs])
|
||||
@@ -46,7 +46,7 @@ def extract_text_prepResp(file, content_type=""):
|
||||
def ocr_text_prepResp(file):
|
||||
if tika_responding():
|
||||
response = requests.put(tika_server, data=file,
|
||||
headers={"X-Tika-PDFOcrStrategy": "ocr_only", "X-Tika-OCRLanguage": "slv+eng"})
|
||||
headers={"X-Tika-PDFOcrStrategy": "ocr_only", "X-Tika-OCRLanguage": "slv+eng","Accept": "text/plain; charset=UTF-8"})
|
||||
return response.text, 200
|
||||
|
||||
win_p = "C:/Program Files/Tesseract-OCR/tesseract.exe"
|
||||
|
||||
Reference in New Issue
Block a user