I am trying to parse the skills section of a resume in python. I found a library by Mr. Omkar Pathak called pyresparser and I was able to extract a PDF resume's contents into a resume.txt file.
However, I was wondering how I can go about only extracting the skills section from the resume into a list and then writing that list possibly into a query.txt file.
I'm reading the contents of the resume.txt into a list and then comparing that to a list called skills which stores the extracted contents from a skill.cv file. Currently, the skills list is empty and I was wondering how I can go about storing the skills into that list? Is this the correct approach? Any help is greatly appreciated, thank you!
import string
import csv
import re
import sys
import importlib
import os
import spacy
from pyresparser import ResumeParser
import pandas as pd
import nltk
from spacy.matcher import matcher
import multiprocessing as mp
def main():
data = ResumeParser("C:/Users/infinitel88p/Downloads/resume.pdf").get_extracted_data()
print(data)
# Added encoding utf-8 to prevent unicode error
with open("C:/Users/infinitel88p/Downloads/resume.txt", "w", encoding='utf-8') as rf:
rf.truncate()
rf.write(str(data))
print("Resume results are getting printed into resume.txt.")
# Extracting skills
resume_list = []
skill_list = []
data = pd.read_csv("skills.csv")
skills = list(data.columns.values)
resume_file = os.path.dirname(__file__) + "/resume.txt"
with open(resume_file, 'r', encoding='utf-8') as f:
for line in f:
resume_list.append(line.strip())
for token in resume_list:
if token.lower() in skills:
skill_list.append(token)
print(skill_list)
if __name__ == "__main__":
main()
An easy way ( but not an efficient way ) to do:
Have a set of all possible relevant skills in a text file. For the words in skills sections of the resume or for all the words in resume, take each words and check whether it matches with any of the word from the text file. If a word matched, then that skill is present in resume. This way, you could identify a set of skills present in the resume.
For further addition or better identification, you can use naive-bayes classification or uni-gram probabilities to extract more relevant skills.
Related
I am new here to try to solve one of my interesting questions in World of Tanks. I heard that every battle data is reserved in the client's disk in the Wargaming.net folder because I want to make a batch of data analysis for our clan's battle performances.
image
It is said that these .dat files are a kind of json files, so I tried to use a couple of lines of Python code to read but failed.
import json
f = open('ex.dat', 'r', encoding='unicode_escape')
content = f.read()
a = json.loads(content)
print(type(a))
print(a)
f.close()
The code is very simple and obviously fails to make it. Well, could anyone tell me the truth about that?
Added on Feb. 9th, 2022
After I tried another set of codes via Jupyter Notebook, it seems like something can be shown from the .dat files
import struct
import numpy as np
import matplotlib.pyplot as plt
import io
with open('C:/Users/xukun/Desktop/br/ex.dat', 'rb') as f:
fbuff = io.BufferedReader(f)
N = len(fbuff.read())
print('byte length: ', N)
with open('C:/Users/xukun/Desktop/br/ex.dat', 'rb') as f:
data =struct.unpack('b'*N, f.read(1*N))
The result is a set of tuple but I have no idea how to deal with it now.
Here's how you can parse some parts of it.
import pickle
import zlib
file = '4402905758116487.dat'
cache_file = open(file, 'rb') # This can be improved to not keep the file opened.
# Converting pickle items from python2 to python3 you need to use the "bytes" encoding or "latin1".
legacyBattleResultVersion, brAllDataRaw = pickle.load(cache_file, encoding='bytes', errors='ignore')
arenaUniqueID, brAccount, brVehicleRaw, brOtherDataRaw = brAllDataRaw
# The data stored inside the pickled file will be a compressed pickle again.
vehicle_data = pickle.loads(zlib.decompress(brVehicleRaw), encoding='latin1')
account_data = pickle.loads(zlib.decompress(brAccount), encoding='latin1')
brCommon, brPlayersInfo, brPlayersVehicle, brPlayersResult = pickle.loads(zlib.decompress(brOtherDataRaw), encoding='latin1')
# Lastly you can print all of these and see a lot of data inside.
The response contains a mixture of more binary files as well as some data captured from the replays.
This is not a complete solution but it's a decent start to parsing these files.
First you can look at the replay file itself in a text editor. But it won't show the code at the beginning of the file that has to be cleaned out. Then there is a ton of info that you have to read in and figure out but it is the stats for each player in the game. THEN it comes to the part that has to do with the actual replay. You don't need that stuff.
You can grab the player IDs and tank IDs from WoT developer area API if you want.
After loading the pickle files like gabzo mentioned, you will see that it is simply a list of values and without knowing what the value is referring to, its hard to make sense of it. The identifiers for the values can be extracted from your game installation:
import zipfile
WOT_PKG_PATH = "Your/Game/Path/res/packages/scripts.pkg"
BATTLE_RESULTS_PATH = "scripts/common/battle_results/"
archive = zipfile.ZipFile(WOT_PKG_PATH, 'r')
for file in archive.namelist():
if file.startswith(BATTLE_RESULTS_PATH):
archive.extract(file)
You can then decompile the python files(uncompyle6) and then go through the code to see the identifiers for the values.
One thing to note is that the list of values for the main pickle objects (like brAccount from gabzo's code) always has a checksum as the first value. You can use this to check whether you have the right order and the correct identifiers for the values. The way these checksums are generated can be seen in the decompiled python files.
I have been tackling this problem for some time (albeit in Rust): https://github.com/dacite/wot-battle-results-parser/tree/main/datfile_parser.
I'll start by apologising if I use the wrong terms here, I am a rank beginner with python.
I have a json array containing 5 sets of data. The corresponding items in each set have duplicate names. I can extract them in java but not in python. The item(s) I want are called "summary_polyline". I have tried so many different ways in the last couple of weeks, so far nothing works.
This is the relevant part of my python-
#!/usr/bin/env python3.6
import os
import sys
from dotenv import load_dotenv, find_dotenv
import polyline
import matplotlib.pyplot as plt
import json
with open ('/var/www/vk7krj/running/strava_activities.json', 'rt') as myfile:
contents = myfile.read()
#print (contents)
#print (contents["summary_polyline"[1]])
activity1 = contents("summary_polyline"[1])
If I un-comment "print content", it prints the file to the screen ok.
I ran the json through an on-line json format checker and it passed ok
How do I extract the five "summay_polylines" and assign them to "activity1" to "activity5"?
If I right understand you, you need convert to json text data which was red from file.
with open ('/var/www/vk7krj/running/strava_activities.json', 'rt') as myfile:
contents = myfile.read()
# json_contents is a List with dicts now
json_contents = json.loads(contents)
# list with activities
activities = []
for dict_item in json_contents:
activities.append(dict_item)
# print all activities (whole file)
print(activities)
# print first activity
print(activities[0])
# print second activity
print(activities[1])
I have to use this text sfs.gff to make a dictionary and then make a dictionary of dictionaries and I am not really sure how to go about it
This is the text
This is what I have so far, just not sure what to do next.
import sys
import textwrap
with open(sys.argv[1]) as gff:
info = dict()
The idea is to open a textual file that contains abbreviation and full word.
Like table with 2 column and n rows.
Then open html file, strip html signs , search for abbreviations , replace them and save them in new text file.
-------------------------It should open in file:
RASPUKNUTI, raspuknutivi
topografski u slucaju reflektivni za svaki...
code
import re
from bs4 import BeautifulSoup
import codecs
#--------------------------------unos podataka za pretrazivanje
dat=open('citaj.txt',"r")
bs4_objekt=BeautifulSoup(dat,"lxml",from_encoding="UTF-8")
onlytext=bs4_objekt.text.strip()
#
z=open('zamijeni_kratice3.txt','r')
text=z.read()
lista_rijeci=text.split('\n')
for rijec in lista_rijeci:
odjeli=rijec.split("|")
samotext=re.sub("\s({0})".format(odjeli[0]),"{0}".format(odjeli[1]),onlytext)
#sm2=re.sub(r'\s(refl.)','reflektivni',samotext)
z.close()
with codecs.open('novi_HAZU.txt','w',encoding='utf8') as f:
f.write(sm2)
f.close()
The words in format does not work , and it does not show error. When i put replace for just one word , works fine:
#sm2=re.sub(r'\s(refl.)','reflektivni',samotext)
I'm spinning in a loop here. Any suggestions , ideas ?
01.02.2016. 19:26
My goal is to get something similar to python interpreter as opposed to current state in file: picture
Or the closest i can get to original : address
The problem I see is that, your code does not keep the change after substitution. Please try:
import re
from bs4 import BeautifulSoup
import codecs
#--------------------------------unos podataka za pretrazivanje
dat=open('citaj.txt',"r")
bs4_objekt=BeautifulSoup(dat,"lxml",from_encoding="UTF-8")
onlytext=bs4_objekt.text #.strip()
#
z=open('zamijeni_kratice3.txt','r')
text=z.read()
lista_rijeci=text.split('\n')
for rijec in lista_rijeci:
odjeli=rijec.split("|")
onlytext=re.sub("({0})".format(odjeli[0]),"{0}".format(odjeli[1]),onlytext)
z.close()
with codecs.open('novi_HAZU.txt','w',encoding='utf8') as f:
f.write(onlytext)
f.close()
Not sure if this fits your needs (I used copy/paste, and made two <tr> elements for illustration purpose):
I'm trying to learn Serbian atm and got myself a csv file with the most frequently used words.
What I'd like to do now is have my script put each word into Google Translate via the API and save this translation to the same file.
Since I'm a total Python and JSON beginner I am massively confused about how to use the JSON I'm getting from the API.
How do I get to the translation?
from sys import argv
from apiclient.discovery import build
import csv
import json
script, filename = argv
serbian_words = []
# Open a CSV file with the serbian words in one column (one per row)
with open(filename, 'rb') as csvfile:
serbianreader = csv.reader(csvfile)
for row in serbianreader:
# Put all words in one single list
serbian_words.extend(row)
# send that list to google item by item to have it translated
def main():
service = build('translate', 'v2',
developerKey='xxx')
for word in serbian_words:
translation = service.translations().list(
source='sr',
target='de',
q = word
).execute()
print translation # Until here everything works totally fine.
if __name__ == '__main__':
main()
What Terminal prints for me looks like this {u'translations': [{u'translatedText': u'allein'}]} where the "allein" is the german translation of a serbian word.
How can I get to the "allein"? I've tried to figure this out by trying to implement the json Encoder and Decoder that comes with Python, but I can't figure it out.
I'd love any help on this and would be very grateful.
You can use item access to get to the innermost string:
translation['translations'][0]['translatedText']
or you could loop over all the translations listed (it's a list):
for trans in translation['translations']:
print trans['translatedText']
as Google's translation service can give more than one translation for a given text.