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fea3c1a 7972b6e fea3c1a 7972b6e fea3c1a | 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 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 | import json
from bs4 import BeautifulSoup
import requests
from io import BytesIO
from PyPDF2 import PdfReader
from src.data_processor import DataProcessor
from src.logger import Logger
import logging
from model.cv_job_matcher import CVJobMatcher
class JDProcessor:
"""Processes job descriptions and candidate CVs from JSON data."""
def __init__(self, jd_file_path):
self.jd_file_path = jd_file_path
self.error_logger = Logger("Error Logger", see_time=True, console_log=True, level=logging.ERROR)
def load_jd_data(self):
"""Loads the job description data from a JSON file."""
if isinstance(self.jd_file_path, dict):
return self.jd_file_path
try:
with open(self.jd_file_path, "r", encoding="utf-8") as file:
return json.load(file)
except Exception as e:
self.error_logger.log_message(f"Failed to load job description file: {e}")
return None
@staticmethod
def clean_html(html_content):
"""Cleans HTML content by removing tags and replacing <br> with newlines."""
soup = BeautifulSoup(html_content, 'html.parser')
for br in soup.find_all("br"):
br.replace_with("\n")
return soup.get_text()
def extract_text_from_pdf(self, pdf_url):
"""Extracts text content from a PDF file at a given URL."""
if pdf_url.startswith("http"):
return self._extract_text_from_remote_pdf(pdf_url)
else:
return self._extract_text_from_local_pdf(pdf_url)
def _extract_text_from_remote_pdf(self, pdf_url):
try:
response = requests.get(pdf_url)
pdf_reader = PdfReader(BytesIO(response.content))
pdf_text = " ".join(page.extract_text() for page in pdf_reader.pages)
return pdf_text
except Exception as e:
self.error_logger.log_message(f"Error fetching PDF from {pdf_url}: {e}")
return ""
def _extract_text_from_local_pdf(self, pdf_path):
try:
with open(pdf_path, "rb") as file:
pdf_reader = PdfReader(file)
pdf_text = "".join(page.extract_text() for page in pdf_reader.pages)
return pdf_text
except Exception as e:
self.error_logger.log_message(f"Error reading PDF from {pdf_path}: {e}")
return ""
def extract_jd_and_cvs(self):
"""Extracts job description and CVs from loaded JSON data."""
data = self.load_jd_data()
if not data:
return None
jd_text = self.clean_html(data.get("description", ""))
cvs = []
for job_user in data.get("JobUser", []):
user_id = job_user.get("userId", "NO ID FOUND")
cover_letter_text = self.clean_html(job_user.get("coverLetter", ""))
pdf_url = job_user.get("cv")
pdf_text = self.extract_text_from_pdf(pdf_url) if pdf_url else ""
cvs.append({
"userId": user_id,
"cover_letter": cover_letter_text,
"cv_content": pdf_text
})
return {"JD": jd_text, "CVs": cvs}
if __name__ == "__main__":
# jd_processor = JDProcessor("data/job_data.json")
# print(jd_processor.extract_jd_and_cvs())
jd_processor = JDProcessor("test_data/jd.json")
print(jd_processor.extract_jd_and_cvs())
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