38 lines
1.6 KiB
Python
38 lines
1.6 KiB
Python
from typing import List
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import streamlit as st
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from constants_module import NEOSERRA_COLUMNS, OUT_COLUMNS
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from milestone_attribution_dataset_module import sanitize_nbs_data
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from cached_function_wrappers.shared import cached_csv_url_to_dataframe
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from pasbdc_data_cleaning import remove_duplicate_client_records
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@st.cache_data
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def cached_get_nbs_data(export_url:str, reportable_only:bool, allowed_centers:List[str] | None = None):
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nbs_df = cached_csv_url_to_dataframe(export_url)
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nbs_df = sanitize_nbs_data(
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nbs_df,
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col_neo_center=NEOSERRA_COLUMNS.center,
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col_neo_client_id=NEOSERRA_COLUMNS.client_id,
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col_neo_milestone_date=NEOSERRA_COLUMNS.milestone_date,
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col_neo_attribution_date=NEOSERRA_COLUMNS.attribution_date,
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col_neo_attribution_source=NEOSERRA_COLUMNS.milestone_attribution_source,
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col_neo_affirmation=NEOSERRA_COLUMNS.milestone_affirmation,
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col_neo_milestone_type=NEOSERRA_COLUMNS.milestone_type_name,
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col_out_documentation_level=OUT_COLUMNS.milestone_documentation_level,
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col_neo_reportable=NEOSERRA_COLUMNS.reportable,
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business_start_impact_val=NEOSERRA_COLUMNS.business_start_impact_val,
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business_established_val=NEOSERRA_COLUMNS.business_established_val
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)
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nbs_df = remove_duplicate_client_records(nbs_df)
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if allowed_centers is not None:
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nbs_df = nbs_df[nbs_df[NEOSERRA_COLUMNS.center].isin(allowed_centers)]
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if reportable_only:
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nbs_df = nbs_df[nbs_df[NEOSERRA_COLUMNS.reportable] == 1]
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return nbs_df |