Implement census analysis: read, count, summarise, write and CLI
Closes #11 Closes #12 Closes #13 Closes #14 Closes #15 Task: MIL-002#4 Task: MIL-002#5 Task: MIL-002#6 Task: MIL-002#7 Task: MIL-002#8
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##
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# @file __main__.py
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# @brief Allows `python -m squirrel` to run the command line.
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"""Allows `python -m squirrel` to run the command line."""
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from squirrel.cli import main
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if __name__ == "__main__":
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raise SystemExit(main())
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##
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# @file census.py
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# @brief Pure steps of the census analysis: read, count, summarise, write.
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"""Pure steps of the census analysis: read, count, summarise, write."""
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import collections
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import csv
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import pathlib
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from collections.abc import Iterable, Mapping, Sequence
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from squirrel.constants import (
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FILE_ENCODING,
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FUR_COLOR_COLUMN,
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FUR_COLORS,
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SUMMARY_COLUMNS,
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)
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##
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# @brief Read a CSV file into one dictionary per row, keyed by the header names.
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# @param path Location of the CSV file.
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# @return The rows of the file, in file order.
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def read_csv(path: pathlib.Path) -> list[dict[str, str]]:
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"""Read a CSV file into one dictionary per row, keyed by the header names."""
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with path.open(encoding=FILE_ENCODING, newline="") as file:
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return list(csv.DictReader(file))
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##
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# @brief Count the rows per fur colour; other or blank colours are counted in none.
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# @param rows Census rows, each holding the fur colour column.
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# @param colors Fur colours to count, in the order of the result.
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# @return Count per colour of `colors`, 0 for a colour that does not occur.
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def count_by_fur_color(
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rows: Iterable[Mapping[str, str]],
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colors: Sequence[str] = FUR_COLORS,
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) -> dict[str, int]:
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"""Count the rows per fur colour; other or blank colours are counted in none."""
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seen = collections.Counter(row.get(FUR_COLOR_COLUMN) for row in rows)
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return {color: seen[color] for color in colors}
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##
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# @brief Turn the counts into summary rows, keeping the order of the counts.
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# @param counts Count per fur colour.
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# @return One (colour, count) pair per colour.
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def build_summary(counts: Mapping[str, int]) -> list[tuple[str, int]]:
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"""Turn the counts into summary rows, keeping the order of the counts."""
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return list(counts.items())
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##
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# @brief Write the summary as a CSV file: the header row, then one row per colour.
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# @param summary Rows to write, as built by `build_summary`.
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# @param path Location of the CSV file; its folder must exist.
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# @return None.
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def write_csv(summary: Sequence[tuple[str, int]], path: pathlib.Path) -> None:
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"""Write the summary as a CSV file: the header row, then one row per colour."""
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with path.open("w", encoding=FILE_ENCODING, newline="") as file:
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writer = csv.writer(file)
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writer.writerow(SUMMARY_COLUMNS)
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writer.writerows(summary)
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##
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# @file cli.py
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# @brief Command line entry point: count the squirrels and write the summary.
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"""Command line entry point: count the squirrels and write the summary."""
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import argparse
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import pathlib
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import sys
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from collections.abc import Sequence
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from squirrel import census
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from squirrel.constants import (
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DEFAULT_INPUT_PATH,
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DEFAULT_OUTPUT_PATH,
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EXIT_INPUT_MISSING,
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)
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##
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# @brief Build the argument parser of the command line.
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# @return The parser with the optional `input` and `output` positionals.
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def _build_parser() -> argparse.ArgumentParser:
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"""Build the argument parser of the command line."""
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parser = argparse.ArgumentParser(
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prog="squirrel",
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description="Count the census squirrels by primary fur colour.",
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)
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parser.add_argument(
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"input",
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nargs="?",
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type=pathlib.Path,
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default=DEFAULT_INPUT_PATH,
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help="census CSV file (default: %(default)s)",
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)
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parser.add_argument(
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"output",
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nargs="?",
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type=pathlib.Path,
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default=DEFAULT_OUTPUT_PATH,
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help="summary CSV file to write (default: %(default)s)",
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)
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return parser
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##
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# @brief Run the census analysis from the command line.
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# @param argv Arguments without the program name; `sys.argv` is used when None.
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# @return 0 on success, 2 when the census file does not exist.
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def main(argv: Sequence[str] | None = None) -> int:
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"""Run the census analysis from the command line."""
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args = _build_parser().parse_args(argv)
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input_path: pathlib.Path = args.input
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output_path: pathlib.Path = args.output
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if not input_path.is_file():
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print(f"Census file not found: {input_path}", file=sys.stderr)
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return EXIT_INPUT_MISSING
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counts = census.count_by_fur_color(census.read_csv(input_path))
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summary = census.build_summary(counts)
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census.write_csv(summary, output_path)
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# print is the intended output here: the counts are shown to the participant.
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for color, count in summary:
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print(f"{color}: {count}")
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return 0
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@@ -23,5 +23,8 @@ FUR_COLOR_COLUMN: str = "Primary Fur Color"
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## @brief Fur colours that are counted, in the order they appear in the summary.
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FUR_COLORS: tuple[str, ...] = ("Gray", "Cinnamon", "Black")
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## @brief Exit status of the command line when the census file does not exist.
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EXIT_INPUT_MISSING: int = 2
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## @brief Header of the summary file: the colour column, then the count column.
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SUMMARY_COLUMNS: tuple[str, str] = ("Fur Color", "Count")
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