Create backup1.app.py
Browse files- backup1.app.py +52 -0
backup1.app.py
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import streamlit as st
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import os
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import xml.etree.ElementTree as ET
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# Function to create search URL on Wikipedia
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def create_search_url_wikipedia(search_query):
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base_url = "https://www.wikipedia.org/search-redirect.php?family=wikipedia&language=en&search="
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return base_url + search_query.replace(' ', '+').replace('โ', '%E2%80%93').replace('&', 'and')
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# Function to scan for XML files and generate Wikipedia links for organizations
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def scan_for_xml_files_and_generate_links():
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xml_files = [f for f in os.listdir('.') if f.endswith('.xml')]
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for xml_file in xml_files:
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tree = ET.parse(xml_file)
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root = tree.getroot()
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# Assuming the XML structure provided is consistent across files
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for org in root.findall(".//nc:Organization", namespaces={'nc': 'http://niem.gov/niem/niem-core/2.0'}):
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short_name = org.find("nc:OrganizationAbbreviationText", namespaces={'nc': 'http://niem.gov/niem/niem-core/2.0'}).text
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long_name = org.find("nc:OrganizationName", namespaces={'nc': 'http://niem.gov/niem/niem-core/2.0'}).text
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st.markdown(f"- **{short_name}**: [Wikipedia]({create_search_url_wikipedia(short_name)})")
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st.markdown(f"- **{long_name}**: [Wikipedia]({create_search_url_wikipedia(long_name)})")
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# Streamlit UI
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def app():
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st.title("Freedom of Information Act (FOIA) Open Data ๐๐")
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st.write("""
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The Freedom of Information Act (FOIA) empowers individuals by granting access to previously unreleased information and documents controlled by the United States government. Championing transparency and accountability, FOIA serves as a foundation for democratic engagement and open government initiatives. ๐โจ
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Below is a list of datasets available under FOIA, alongside guessed Wikipedia URLs for more information. ๐๐
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""")
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# Example datasets under FOIA
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datasets = [
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"Provider Taxonomy",
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"Consumer Complaint Database",
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"Medicare Provider Utilization and Payment Data",
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"Global Terrorism Database",
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"National Nutrient Database",
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"Patent Grant Full Text Data",
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"Toxic Release Inventory",
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"Residential Energy Consumption Survey",
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]
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# Displaying the datasets table
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st.markdown("### FOIA Datasets and Wikipedia URLs")
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for dataset in datasets:
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st.markdown(f"- **{dataset}**: [Wikipedia]({create_search_url_wikipedia(dataset)})")
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st.markdown("### Organizations in Found XML Files")
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scan_for_xml_files_and_generate_links()
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if __name__ == "__main__":
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app()
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