Esempio n. 1
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def load_all_data_sources():
    data = {}
    for k in config_dict:
        params = config_dict[k]
        load_func_name = params['load']['function']
        st.subheader(k)
        if load_func_name == 'None':
            st.write('No load function')
        else:
            df = load_data.load_most_recent_loadable_data(params)
            data[k] = df
            # Mobility reports are too large for streamlit to handle
            if k != 'google_mobility_reports':
                st.write(df)
    return data
Esempio n. 2
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def export_non_aggregated_data(config_dict, export_path):
    for source in config_dict.keys():
        config_dict[source]['export_path'] = export_path
        load_data.load_most_recent_loadable_data(config_dict[source])
    print(config_dict.keys())
def export_non_aggregated_data(config_dict, export_path):
    print('export path (not used): ', export_path)
    for key in config_dict.keys():
        load_data.load_most_recent_loadable_data(config_dict[key])
    print(config_dict.keys())