dict_dl/t.py

#!/bin/python
"""search the Merriam Webster Thesaurus with ease"""
import argparse
import os
from itertools import zip_longest

from rich.console import Console
from rich.table import Table

from dict_dl import DictFile
import string

letters = string.ascii_lowercase
prefix_length = 3
unusual = (
    lambda prefix: not all([c in letters for c in prefix.lower()])
    or len(prefix) < prefix_length
)

parser = argparse.ArgumentParser(description="Merriam Webster Thesaurus")
parser.add_argument("-p", "--preview", action="store_true", help="FZF preview")
parser.add_argument("query", type=str, help="query")

args = parser.parse_args()
prefix = args.query[:prefix_length].lower()

if unusual(prefix):
    prefix = "_" * prefix_length
d = DictFile(os.path.expandvars(f"$DICT_DL/en_MWThesaurus/{prefix}_MWT.json"))

if args.preview:
    for k, v in d[args.query].items():
        if k == "type":
            word_type = k
        else:
            syns = v["synonyms"]
            nsyns = v["related" if "related" in v else "near synonyms"]
            nants = v["near antonyms"]
            ants = v["antonyms"]
            print(f"> {k}")
            if syns:
                print("  SYNONYMS\n  ", ", ".join(syns))
            if nsyns:
                print("  NEAR SYNONYMS\n  ", ", ".join(nsyns))
            if nants:
                print("  NEAR ANTONYMS\n  ", ", ".join(nants))
            if ants:
                print("  ANTONYMS\n  ", ", ".join(ants))
        print()
    exit()

print(f"||||||||{args.query}||||||||")
print()
for k, v in d[args.query].items():
    if k == "type":
        word_type = k
    else:
        table = Table(title=k)
        table.add_column("synonyms", justify="center", style="cyan", no_wrap=True)
        table.add_column("near synonyms", justify="center", style="cyan", no_wrap=True)
        table.add_column("near antonyms", justify="center", style="cyan", no_wrap=True)
        table.add_column("antonyms", justify="center", style="cyan", no_wrap=True)
        syns = v["synonyms"]
        nsyns = v["related" if "related" in v else "near synonyms"]
        ants = v["near antonyms"]
        nants = v["antonyms"]
        for s, ns, na, a in zip_longest(syns, nsyns, nants, ants, fillvalue=""):
            table.add_row(s, ns, na, a)

        console = Console()
        console.print(table)