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cv2.py
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import os
import io
import time
import datetime
import json
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
from PIL import Image
import httplib2
import apiclient.discovery
from oauth2client.service_account import ServiceAccountCredentials
from googleapiclient.http import MediaIoBaseDownload
import streamlit as st
PATH = ""
PHOTO_FILE_ID = st.secrets['PHOTO_FILE_ID']
DEMO1_IMG_FILE_ID = st.secrets['DEMO1_IMG_FILE_ID']
DEMO2_IMG_FILE_ID = st.secrets['DEMO2_IMG_FILE_ID']
MS_PL300_IMG_FILE_ID = st.secrets['MS_PL300_IMG_FILE_ID']
GOOGLESHEET_ID = st.secrets['GOOGLESHEET_ID'] # gs_id
SERVICE_ACCOUNT_FILE = st.secrets['SERVICE_ACCOUNT_FILE']
# google spreadsheets
F_CV_PAGE_ID = 0 # gs_page_id
F_CV_PAGE_NAME = 'f_cv' # gs_page_name
F_TOOLS_PAGE_ID = 1211272847 # gs_page_id
F_TOOLS_PAGE_NAME = 'f_tools' # gs_page_name
def get_google_service(service_account_file, api='sheets'):
"""return connection to google api
api='sheets'
api='drive'
"""
service_account_file_json = json.loads(service_account_file, strict=False)
credentials = ServiceAccountCredentials.from_json_keyfile_dict(service_account_file_json, ['https://www.googleapis.com/auth/spreadsheets', 'https://www.googleapis.com/auth/drive'])
httpAuth = credentials.authorize(httplib2.Http())
if api == 'sheets':
return apiclient.discovery.build('sheets', 'v4', http = httpAuth)
elif api == 'drive':
return apiclient.discovery.build('drive', 'v3', credentials=credentials)
return None
def get_gs_table(service, gs_id, gs_page_name):
""" Get Google Sheet's page"""
result = service.spreadsheets().values().batchGet(spreadsheetId=gs_id, ranges=gs_page_name).execute()
columns = result['valueRanges'][0]['values'][0]
data = result['valueRanges'][0]['values'][1:]
df = pd.DataFrame(data=data, columns=columns)
return df
@st.cache
def get_cv2():
with get_google_service(SERVICE_ACCOUNT_FILE, api='sheets') as service:
f_cv = get_gs_table(service, GOOGLESHEET_ID, F_CV_PAGE_NAME)
f_tools = get_gs_table(service, GOOGLESHEET_ID, F_TOOLS_PAGE_NAME)
f_cv['начало'] = pd.to_datetime(f_cv['начало'], format='%d.%m.%Y')
f_cv['конец'] = pd.to_datetime(f_cv['конец'], format='%d.%m.%Y')
f_cv['период'] = f_cv['конец'] - f_cv['начало']
f_cv['период'] = f_cv['период'].dt.days
f_tools['вес'] = f_tools['вес'].map(lambda x: x.replace(',','.')).astype(float)
f_tools['Экспертиза'] = f_tools['Экспертиза'].astype(float)
f_tools['экспертиза-вес'] = f_tools['вес'] * f_tools['Экспертиза']
return f_cv, f_tools
def get_photo(photo_file_name, photo_file_id, width=None):
if ( not os.path.isfile(photo_file_name)
or datetime.datetime.fromtimestamp(os.path.getmtime(photo_file_name)).date() != datetime.datetime.now().date()
):
service_google_drive = get_google_service(SERVICE_ACCOUNT_FILE, api='drive')
request = service_google_drive.files().get_media(fileId=photo_file_id)
fh = io.FileIO(photo_file_name, 'wb')
downloader = MediaIoBaseDownload(fh, request)
done = False
while done is False:
status, done = downloader.next_chunk()
photo = Image.open(photo_file_name)
if width:
w, h = photo.size
ratio = h/w
photo = photo.resize((int(width), int(width*ratio)))
return photo
f_cv, f_tools = get_cv2()
f_tools_agg = f_tools.groupby('группа1').agg({'экспертиза-вес': 'sum', 'вес':'sum' })
f_tools_agg['ср.экспертиза'] = f_tools_agg['экспертиза-вес'].div( f_tools_agg['вес']).astype(int)
f_tools_agg_list = f_tools_agg.sort_values('ср.экспертиза', ascending=False).index
# streamlit
# st.set_page_config(page_title='CV',layout='wide')
# photo | contacts
photo_file_name = f'{PATH}photo_ava.jpg'
photo_file_id = PHOTO_FILE_ID
photo = get_photo(photo_file_name, photo_file_id, width=180)
ms_pl300_file_name = f'{PATH}MS_PL300.png'
ms_pl300_file_id = MS_PL300_IMG_FILE_ID
ms_pl300 = get_photo(ms_pl300_file_name, ms_pl300_file_id, width=180)
col1, col2, col3 = st.columns([2,5,2])
with col1:
st.image(photo)
with col2:
st.title("Олег Степанов")
st.subheader("аналитик")
st.write ("+7 927-223-9884")
st.write ("[email protected]")
with col3:
st.write ("[Резюме на hh.ru](https://saratov.hh.ru/applicant/resumes/view?resume=e2430864ff0148b2630039ed1f4d693363424a)")
st.write ("[Резюме в PBI](https://app.powerbi.com/view?r=eyJrIjoiZDA1MGM0NzctZTQ0NS00MDY3LTkyNDgtYWVkZjFiOWM3MzEwIiwidCI6IjFmNWMwYzQ5LWU3OTQtNDQ4Ni1iNzU1LTIzOGRiNmMzZTMxZSJ9)")
# экспертиза
st.header("Экспертиза и опыт")
col1, col2 = st.columns([1,6])
with col1:
st.image(ms_pl300,width=80)
with col2:
st.write ("Знания в области Power BI подтверждены сертификатом \n[Microsoft: Power BI Data Analyst Associate](https://www.credly.com/badges/81d02bc4-c3a3-473c-a323-4ab82cf95fcf/public_url)")
plot_data = f_tools_agg.sort_values('ср.экспертиза', ascending=False)
fig = plt.figure(figsize=(6, 4))
ax = sns.barplot(data=plot_data,
y=plot_data.index,
x='ср.экспертиза',
orient='h',
color='#195B7F')
ax.set_xlim(0,100)
ax.set_xlabel(None)
ax.set_ylabel(None)
ax.set_xticklabels([])
ax.set_yticklabels(plot_data.index, color='gray', fontsize=12)
ax.tick_params(bottom=False, left=False) # remove the ticks
sns.despine(bottom=True, left=True) # remove frame
for i, (p, pr) in enumerate(zip(plot_data.index, plot_data['ср.экспертиза'])):
plt.text(s=p, x=1, y=i, color="#9CB5C7", verticalalignment="center", size=8)
plt.axis("off")
st.pyplot(fig)
tool_chosen = st.selectbox('Выбирайте категорию, чтобы посмотреь подробнее', tuple(f_tools_agg_list))
plot_data_filtered = f_tools[f_tools['группа1'] == tool_chosen].sort_values('Экспертиза', ascending=False)
fig = plt.figure(figsize=(3, 2))
ax = sns.barplot(data=plot_data_filtered,
y='инструмент',
x='Экспертиза',
orient='h',
color='#195B7F')
ax.set_xlim(0,100)
ax.set_xlabel(None)
ax.set_ylabel(None)
ax.set_xticklabels([])
ax.set_yticklabels(plot_data_filtered['инструмент'], color='gray', fontsize=12)
ax.tick_params(bottom=False, left=False) # remove the ticks
sns.despine(bottom=True, left=True) # remove frame
for i, (p, pr) in enumerate(zip(plot_data_filtered['инструмент'], plot_data_filtered['Экспертиза'])):
plt.text(s=p, x=1, y=i, color="#9CB5C7", verticalalignment="center", size=8)
plt.axis("off")
col1,col2 = st.columns([2,3])
with col1:
st.pyplot(fig)
with col2:
comm = plot_data_filtered.apply(lambda x: f"__{x['инструмент']}__: {x['комментарий']}", axis=1).to_list()
st.write(' \n'.join(comm))
# демо проекты
st.header("Демо проекты")
demo1_file_name = f'{PATH}demo1.jpg'
demo1_id = DEMO1_IMG_FILE_ID
demo1 = get_photo(demo1_file_name, demo1_id, width=160)
demo2_file_name = f'{PATH}demo2.jpg'
demo2_id = DEMO2_IMG_FILE_ID
demo2 = get_photo(demo2_file_name, demo2_id, width=160)
col1, col2 = st.columns([1,3])
with col1:
st.image(demo1)
with col2:
st.write('__PBI__: [Отчет о посещаемости блога PowerBI Russia](https://app.powerbi.com/view?r=eyJrIjoiZGQyMjU2MDQtNmM3MC00N2JmLWI2NWQtMjkwOWE3MmUwNGUyIiwidCI6IjFmNWMwYzQ5LWU3OTQtNDQ4Ni1iNzU1LTIzOGRiNmMzZTMxZSJ9)')
col1, col2 = st.columns([1,3])
with col1:
st.image(demo2)
with col2:
st.write('__PBI__: [Отчет о затратах на строительство каркасного дома](https://app.powerbi.com/view?r=eyJrIjoiMWZiMGQ5YzMtY2YyZi00MTRkLTkxZTUtYjYxZjk2MmYxOWQzIiwidCI6IjFmNWMwYzQ5LWU3OTQtNDQ4Ni1iNzU1LTIzOGRiNmMzZTMxZSJ9)')
# история
st.header("История")
st_cv = f_cv[['начало', 'компания', 'должность', 'суть работы', 'достижения']].sort_values('начало',ascending=False).copy()
st_cv['Работа'] = st_cv.apply(lambda x: f"{x['суть работы']} \n{x['достижения']}", axis=1)
st_cv = st_cv[['начало', 'компания', 'должность', 'Работа']]
st_cv.columns = ['Старт', 'Компания', 'Позиция', 'Работа']
st_cv['Старт'] = st_cv['Старт'].map(lambda x: str(x.strftime('%d.%m.%Y')))
st.table(st_cv[0:1])
with st.expander("Посмотреть всю историю"):
st.table(st_cv[1:])
# доп. информация
st.header("Дополнительная информация")
st.write('* Уровень знания _английского языка_ достаточный для получения самой последней информации по профессиональной теме из первоисточников \n* С 2022 года оказываю консультационные услуги по Power BI и DAX')