version 1

This commit is contained in:
hdgmedia
2021-11-18 18:53:25 -08:00
commit 30fee3a613
9 changed files with 596 additions and 0 deletions

273
.gitignore vendored Normal file
View File

@@ -0,0 +1,273 @@
### macOS ###
# General
.DS_Store
.AppleDouble
.LSOverride
# Icon must end with two \r
Icon
# Thumbnails
._*
# Files that might appear in the root of a volume
.DocumentRevisions-V100
.fseventsd
.Spotlight-V100
.TemporaryItems
.Trashes
.VolumeIcon.icns
.com.apple.timemachine.donotpresent
# Directories potentially created on remote AFP share
.AppleDB
.AppleDesktop
Network Trash Folder
Temporary Items
.apdisk
# Byte-compiled / optimized / DLL files
__pycache__/
*.py[cod]
*$py.class
# C extensions
*.so
# Distribution / packaging
.Python
build/
develop-eggs/
dist/
downloads/
eggs/
.eggs/
lib/
lib64/
parts/
sdist/
var/
wheels/
share/python-wheels/
*.egg-info/
.installed.cfg
*.egg
MANIFEST
# PyInstaller
# Usually these files are written by a python script from a template
# before PyInstaller builds the exe, so as to inject date/other infos into it.
*.manifest
*.spec
# Installer logs
pip-log.txt
pip-delete-this-directory.txt
# Unit test / coverage reports
htmlcov/
.tox/
.nox/
.coverage
.coverage.*
.cache
nosetests.xml
coverage.xml
*.cover
*.py,cover
.hypothesis/
.pytest_cache/
cover/
# Translations
*.mo
*.pot
# Django stuff:
*.log
local_settings.py
db.sqlite3
db.sqlite3-journal
# Flask stuff:
instance/
.webassets-cache
# Scrapy stuff:
.scrapy
# Sphinx documentation
docs/_build/
# PyBuilder
.pybuilder/
target/
# Jupyter Notebook
.ipynb_checkpoints
# IPython
profile_default/
ipython_config.py
# pyenv
# For a library or package, you might want to ignore these files since the code is
# intended to run in multiple environments; otherwise, check them in:
# .python-version
# pipenv
# According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
# However, in case of collaboration, if having platform-specific dependencies or dependencies
# having no cross-platform support, pipenv may install dependencies that don't work, or not
# install all needed dependencies.
#Pipfile.lock
# PEP 582; used by e.g. github.com/David-OConnor/pyflow
__pypackages__/
# Celery stuff
celerybeat-schedule
celerybeat.pid
# SageMath parsed files
*.sage.py
# Environments
.env
.venv
env/
venv/
ENV/
env.bak/
venv.bak/
# Spyder project settings
.spyderproject
.spyproject
# Rope project settings
.ropeproject
# mkdocs documentation
/site
# mypy
.mypy_cache/
.dmypy.json
dmypy.json
# Pyre type checker
.pyre/
# pytype static type analyzer
.pytype/
# Cython debug symbols
cython_debug/
### PyCharm ###
# Covers JetBrains IDEs: IntelliJ, RubyMine, PhpStorm, AppCode, PyCharm, CLion, Android Studio, WebStorm and Rider
# Reference: https://intellij-support.jetbrains.com/hc/en-us/articles/206544839
# User-specific stuff
.idea/**/workspace.xml
.idea/**/tasks.xml
.idea/**/usage.statistics.xml
.idea/**/dictionaries
.idea/**/shelf
# AWS User-specific
.idea/**/aws.xml
# Generated files
.idea/**/contentModel.xml
# Sensitive or high-churn files
.idea/**/dataSources/
.idea/**/dataSources.ids
.idea/**/dataSources.local.xml
.idea/**/sqlDataSources.xml
.idea/**/dynamic.xml
.idea/**/uiDesigner.xml
.idea/**/dbnavigator.xml
# Gradle
.idea/**/gradle.xml
.idea/**/libraries
# Gradle and Maven with auto-import
# When using Gradle or Maven with auto-import, you should exclude module files,
# since they will be recreated, and may cause churn. Uncomment if using
# auto-import.
# .idea/artifacts
# .idea/compiler.xml
# .idea/jarRepositories.xml
# .idea/modules.xml
# .idea/*.iml
# .idea/modules
# *.iml
# *.ipr
# CMake
cmake-build-*/
# Mongo Explorer plugin
.idea/**/mongoSettings.xml
# File-based project format
*.iws
# IntelliJ
out/
# mpeltonen/sbt-idea plugin
.idea_modules/
# JIRA plugin
atlassian-ide-plugin.xml
# Cursive Clojure plugin
.idea/replstate.xml
# Crashlytics plugin (for Android Studio and IntelliJ)
com_crashlytics_export_strings.xml
crashlytics.properties
crashlytics-build.properties
fabric.properties
# Editor-based Rest Client
.idea/httpRequests
# Android studio 3.1+ serialized cache file
.idea/caches/build_file_checksums.ser
### PyCharm Patch ###
# Comment Reason: https://github.com/joeblau/gitignore.io/issues/186#issuecomment-215987721
# *.iml
# modules.xml
# .idea/misc.xml
# *.ipr
# Sonarlint plugin
# https://plugins.jetbrains.com/plugin/7973-sonarlint
.idea/**/sonarlint/
# SonarQube Plugin
# https://plugins.jetbrains.com/plugin/7238-sonarqube-community-plugin
.idea/**/sonarIssues.xml
# Markdown Navigator plugin
# https://plugins.jetbrains.com/plugin/7896-markdown-navigator-enhanced
.idea/**/markdown-navigator.xml
.idea/**/markdown-navigator-enh.xml
.idea/**/markdown-navigator/
# Cache file creation bug
# See https://youtrack.jetbrains.com/issue/JBR-2257
.idea/$CACHE_FILE$
# CodeStream plugin
# https://plugins.jetbrains.com/plugin/12206-codestream
.idea/codestream.xml

21
LICENSE Normal file
View File

@@ -0,0 +1,21 @@
MIT License
Copyright (c) 2021 David Hay
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.

5
README.md Normal file
View File

@@ -0,0 +1,5 @@
# LinkedIn Job Report Creator
This program creates a PDF including the origional post with graphs of the
most used language from scraping a LinkedIn job post using Python.

1
creator/__init__.py Normal file
View File

@@ -0,0 +1 @@
from .creator import PullJob

171
creator/creator.py Normal file
View File

@@ -0,0 +1,171 @@
import os
import glob
from collections import Counter
from datetime import date
import spacy
from bs4 import BeautifulSoup
import matplotlib.pyplot as plt
from playwright.sync_api import sync_playwright
from .pdf import PDF
class PullJob:
def __init__(self, url, file, noun_num, verb_num):
self.url = url
self.file = file
self.noun_num = noun_num
self.verb_num = verb_num
self.body = []
self.body_string = ''
self.title = ''
self.company = ''
self.city = ''
self.common_nouns = []
self.common_verbs = []
self.common_list = []
self.cwd = os.getcwd() + '/docs/*'
def scrape(self):
print('downloading html...')
with sync_playwright() as p:
browser = p.chromium.launch()
page = browser.new_page()
page.goto(self.url)
content = page.content()
with open(f'docs/{self.file}.html', 'a') as f:
f.write(content)
f.close()
browser.close()
def get_file(self):
print('parsing file...')
body = [] # List of strings from body of post
with open(f"docs/{self.file}.html") as fp:
soup = BeautifulSoup(fp, 'html.parser')
self.title = soup.find('h1').string.replace("\n", "").strip()
self.company = soup.find(
'a', class_='topcard__org-name-link '
'topcard__flavor--black-link'
).text.replace("\n", "").strip()
self.city = soup.find(
'span', class_='topcard__flavor '
'topcard__flavor--bullet'
).string.replace("\n", "").strip()
content = soup.find(
'div', class_='show-more-less-html__markup '
'show-more-less-html__markup--clamp-after-5')
strong_soup = content.find_all('strong')
li_soup = content.find_all('li')
strong_list = []
li_list = []
for x in strong_soup:
strong_list.append(x.text)
for x in li_soup:
li_list.append(x.text)
for x in iter(content.stripped_strings):
if x in strong_list:
body.append(' ')
body.append(x)
elif x in li_list:
body.append(' - ' + x)
else:
body.append(' ')
body.append(x)
fp.close()
self.body = body
self.write_text()
def write_text(self):
body_string = ''
with open(f"docs/{self.file}.txt", 'w') as fp:
for x in iter(self.body):
body_string = body_string + x
fp.write(x + '\n')
fp.close()
self.body_string = body_string
self.frequency()
def frequency(self):
nlp = spacy.load('en_core_web_sm')
doc = nlp(self.body_string)
nouns = [token.text
for token in doc
if (not token.is_stop and
not token.is_punct and
token.pos_ == "NOUN")]
verbs = [token.text
for token in doc
if (not token.is_stop and
not token.is_punct and
token.pos_ == "VERB")]
noun_freq = Counter(nouns)
verb_freq = Counter(verbs)
self.common_nouns = noun_freq.most_common(self.noun_num)
self.common_verbs = verb_freq.most_common(self.verb_num)
self.common_list = self.common_nouns + self.common_verbs
self.horizontal_chart()
def horizontal_chart(self):
word_list, word_occurance = zip(*self.common_list)
plt.figure(0) # Specify differnt figures
plt.rcdefaults()
plt.barh(word_list, word_occurance)
plt.title('Most common words')
plt.ylabel('Word')
plt.xlabel('Occurance')
plt.tight_layout() # add padding
plt.savefig(f'docs/{self.file}.png')
def verb_pie_chart(self):
verb_list, verb_occurance = zip(*self.common_verbs)
plt.figure() # Specify differnt figures
plt.title('Most common Verbs')
plt.pie(
verb_occurance, labels=verb_list, autopct='%1.1f%%', shadow=True,
startangle=90)
plt.savefig(f'docs/verb_{self.file}.png')
def noun_pie_chart(self):
noun_list, noun_occurance = zip(*self.common_nouns)
plt.figure() # Specify differnt figures
plt.title('Most common Nouns')
plt.pie(
noun_occurance, labels=noun_list, autopct='%1.1f%%', shadow=True,
startangle=90)
plt.savefig(f'docs/noun_{self.file}.png')
def create_PDF(self):
print('creating report...')
today = date.today().strftime('%m/%d/%y')
# Importing PDF class made in report.py
pdf = PDF()
pdf.set_title(f'{self.title} Job Report')
pdf.set_author('David Hay')
pdf.print_job(
today, self.title, self.company, self.city,
f'docs/{self.file}.txt', self.file)
pdf.output(f'report/{self.file}.pdf')
def delete_files(self):
all_docs = glob.glob(self.cwd)
for f in all_docs:
os.remove(f)
def run_all(self):
self.scrape()
self.get_file()
self.write_text()
self.frequency()
self.horizontal_chart()
self.verb_pie_chart()
self.noun_pie_chart()
self.create_PDF()
self.delete_files() # If you want to keep other files take out line
print('Done!')

55
creator/pdf.py Normal file
View File

@@ -0,0 +1,55 @@
from fpdf import FPDF
"""
d = today
t = title
c = company
lo = location
xp = text filepath
n = file name
"""
class PDF(FPDF):
def header(self):
# Setting font: helvetica bold 15
self.set_font("helvetica", "B", 15)
def footer(self):
# Setting position at 1.5 cm from bottom:
self.set_y(-15)
# Setting font: helvetica italic 8
self.set_font("helvetica", "I", 8)
# Setting text color to gray:
self.set_text_color(128)
# Printing page number
self.cell(0, 10, f"Page {self.page_no()}", 0, 0, "C")
def job_title(self, d, t, c, lo):
self.set_font("helvetica", "B", 8)
self.cell(0, 6, f'Date: {d}', 0, 1, 'R')
self.ln(1)
self.set_font("helvetica", "B", 15)
self.cell(0, 6, f'Role: {t}', 0, 1, 'C')
self.ln(4)
self.cell(0, 6, f'Company: {c}', 0, 1, 'C')
self.ln(4)
self.cell(0, 6, f'Location: {lo}', 0, 1, 'C')
self.ln(4)
def job_body(self, xp, n):
with open(xp, "rb") as fp:
txt = fp.read().decode("latin-1")
self.set_font('helvetica', size=12)
self.multi_cell(0, 7, txt)
self.ln()
self.image(f'docs/{n}.png', x=27, w=150)
self.image(f'docs/verb_{n}.png', x=27, w=150)
self.image(f'docs/noun_{n}.png', x=27, w=150)
def print_job(self, d, t, c, lo, xp, n):
self.add_page()
self.job_title(d, t, c, lo)
self.job_body(xp, n)

12
main.py Normal file
View File

@@ -0,0 +1,12 @@
from creator import PullJob
# For Test name
url = input('Enter URL')
file = input('job')
nouns = 10
verbs = 10
pull = PullJob(url, file, nouns, verbs)
if __name__ == '__main__':
pull.run_all()

46
requirements.txt Normal file
View File

@@ -0,0 +1,46 @@
beautifulsoup4==4.10.0
blis==0.7.5
catalogue==2.0.6
certifi==2021.10.8
charset-normalizer==2.0.7
click==8.0.3
cycler==0.11.0
cymem==2.0.6
en-core-web-sm @ https://github.com/explosion/spacy-models/releases/download/en_core_web_sm-3.2.0/en_core_web_sm-3.2.0-py3-none-any.whl
fonttools==4.28.1
fpdf==1.7.2
greenlet==1.1.2
idna==3.3
Jinja2==3.0.3
kiwisolver==1.3.2
langcodes==3.3.0
MarkupSafe==2.0.1
matplotlib==3.5.0
murmurhash==1.0.6
numpy==1.21.4
packaging==21.2
pathy==0.6.1
Pillow==8.4.0
playwright==1.16.1
preshed==3.0.6
pydantic==1.8.2
pyee==8.2.2
pyparsing==2.4.7
python-dateutil==2.8.2
requests==2.26.0
setuptools-scm==6.3.2
six==1.16.0
smart-open==5.2.1
soupsieve==2.3.1
spacy==3.2.0
spacy-legacy==3.0.8
spacy-loggers==1.0.1
srsly==2.4.2
thinc==8.0.13
tomli==1.2.2
tqdm==4.62.3
typer==0.4.0
typing_extensions==4.0.0
urllib3==1.26.7
wasabi==0.8.2
websockets==10.1

12
setup.py Normal file
View File

@@ -0,0 +1,12 @@
from distutils.core import setup
setup(
name='creator',
version='1.0',
packages=['creator'],
url='https://github.com/dave-hay/linkedin-job-report-creator',
license='MIT License',
author='David Hay',
author_email='davehay93@gmail.com',
description='Makes a graphical PDF report from LinkedIn job posts.'
)