tika update

This commit is contained in:
Marko Ferme
2022-10-18 12:26:16 +02:00
parent 5833dfafc8
commit abf79be4c8
8 changed files with 50 additions and 13 deletions
+3
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@@ -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
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@@ -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
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@@ -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
+34
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@@ -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
+3 -3
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@@ -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"