<gh_stars>1-10
import logging
from typing import List, Union

from get_pop.modules.helper.misc import check_and_clear_dir
from get_pop.modules.save.save_csv import save_csv
from get_pop.static.constants import (
    state_index,
    value_field,
    field_cleaners,
    default_fields,
)
from pathlib import Path
from get_pop.definitions import selected_fields_type, CWD
from get_pop.modules.init.init_program import init_program
from get_pop.modules.parse.parse import parse_states
from . import __project__


clean_states = [x["abbrv"] for x in state_index]


def get_pop(
    states: List[str],
    *,
    save_dir: Union[Path, str] = CWD,
    selected_fields: selected_fields_type = default_fields,
) -> None:
    """
    Takes a list of 2-letter US state postal codes, returns CSVs for each state.

    Args:
        states List[str]: List of states.
        save_dir Union[Path, str]: (Optional) Path where CSV data will be stored. Defaults to current
            working directory.
        selected_fields (selected_fields_type): (Optional) A list of dictionaries with fields that should be
            included in the final CSV for each state. Default fields: "fips", "name", "population"

    Returns:
        None.
    """

    # init
    init_program(__project__)

    # process states
    logging.info(f"Selected states: {states}")
    selected_states = []
    if "all" in states[0]:
        selected_states = state_index
    else:
        for state in states:
            index_item = [
                x for x in state_index if x["abbrv"].lower() in state.lower()
            ][0]
            selected_states.append(index_item)

    parsed_data = parse_states(
        value_field=value_field,
        selected_values=selected_states,
        selected_fields=selected_fields,
        field_cleaners=field_cleaners,
    )

    save_csv(parsed_data, save_dir=save_dir, file_partial="county")

    # end
    logging.info(f"{__project__} complete")

import logging
from typing import List, Union

from get_pop.modules.helper.misc import check_and_clear_dir
from get_pop.modules.save.save_csv import save_csv
from get_pop.static.constants import (
    state_index,
    value_field,
    field_cleaners,
    default_fields,
)
from pathlib import Path
from get_pop.definitions import selected_fields_type, CWD
from get_pop.modules.init.init_program import init_program
from get_pop.modules.parse.parse import parse_states
from . import __project__


clean_states = [x["abbrv"] for x in state_index]


def get_pop(
    states: List[str],
    *,
    save_dir: Union[Path, str] = CWD,
    selected_fields: selected_fields_type = default_fields,
) -> None:
    """
    Takes a list of 2-letter US state postal codes, returns CSVs for each state.

    Args:
        states List[str]: List of states.
        save_dir Union[Path, str]: (Optional) Path where CSV data will be stored. Defaults to current
            working directory.
        selected_fields (selected_fields_type): (Optional) A list of dictionaries with fields that should be
            included in the final CSV for each state. Default fields: "fips", "name", "population"

    Returns:
        None.
    """

    # init
    init_program(__project__)

    # process states
    logging.info(f"Selected states: {states}")
    selected_states = []
    if "all" in states[0]:
        selected_states = state_index
    else:
        for state in states:
            index_item = [
                x for x in state_index if x["abbrv"].lower() in state.lower()
            ][0]
            selected_states.append(index_item)

    parsed_data = parse_states(
        value_field=value_field,
        selected_values=selected_states,
        selected_fields=selected_fields,
        field_cleaners=field_cleaners,
    )

    save_csv(parsed_data, save_dir=save_dir, file_partial="county")

    # end
    logging.info(f"{__project__} complete")
Takes a list of 2-letter US state postal codes, returns CSVs for each state.      Args:         states List[str]: List of states.         save_dir Union[Path, str]: (Optional) Path where CSV data will be stored. Defaults to current             working directory.         selected_fields (selected_fields_type): (Optional) A list of dictionaries with fields that should be             included in the final CSV for each state. Default fields: "fips", "name", "population"      Returns:         None. # init # process states # end