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- import logging
- from taipy.gui import builder as tgb
- from taipy.gui import navigate
- import pandas as pd
- logging.basicConfig(level=logging.INFO)
- df = pd.read_csv("data/aggregate/aggregate.csv")
- filtered_df = df
- locations = list(df["location"].unique())
- queries = [
- "python developer",
- "data analyst",
- "machine learning engineer",
- "software engineer",
- "backend developer",
- "devops engineer",
- "automation engineer",
- "network engineer",
- "vuejs developer",
- "react developer",
- "nodejs developer",
- "frontend developer",
- "full stack developer",
- "ui developer",
- "web application developer",
- "javascript engineer",
- "mobile app developer",
- ]
- sources = ["indeed", "yc"]
- links = {}
- chunk_index = 0
- selected_locations, selected_queries, selected_sources = [], [], []
- filter_options=['location','source','title']
- selected_options =''
- def choose_filter_option(state):
- if state.selected_option=='location':
- tgb.selector()
- with tgb.Page() as search_page:
- tgb.text('Filter by', class_name='h3')
- tgb.html('br')
- with tgb.layout('1 1 1'):
- with tgb.part('card'):
- tgb.text('Job Title', class_name='h4')
- tgb.html('br')
- tgb.selector(value='{selected_queries}', lov=queries, multiple=False, dropdown=True)
- with tgb.part('card'):
- tgb.text('Location', class_name='h4')
- tgb.html('br')
- tgb.selector(value='{selected_locations}', lov=locations, multiple=False, dropdown=True)
- with tgb.part('card'):
- tgb.text('Job Source')
- tgb.html('br')
- tgb.selector(value='{selected_sources}', lov=sources, multiple=False, dropdown=True)
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