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- #!/usr/bin/env python3
- import csv
- import colorsys
- import random
- from argparse import ArgumentParser
- parser = ArgumentParser()
- parser.add_argument("color", nargs="?", default=None, help="Target color, randomized if not provided")
- parser.add_argument("-n", "--number", default=1, type=int, help="Number of Pokemon to find")
- parser.add_argument("-c", "--closeness", default=2, type=int, help="Closeness coefficient")
- parser.add_argument("--database", default="database.csv", help="Database file")
- parser.add_argument("-v", "--verbose", action="store_true", help="Print raw scores")
- args = parser.parse_args()
- if args.number <= 0:
- raise ValueError("Must request a number greater than 0")
- if args.color is not None:
- if len(args.color) != 6:
- raise ValueError("Color must be a 6 digit hex")
- color = (int(args.color[0:2], base=16), int(args.color[2:4], base=16), int(args.color[4:6], base=16))
- else:
- color = tuple(int(c * 255) for c in colorsys.hsv_to_rgb(random.random(), 0.9, 0.9))
- print(f"Generated random color: #{''.join(hex(c)[2:] for c in color)} / {color}")
- results = []
- with open(args.database) as infile:
- for name, x, *y in csv.reader(infile, delimiter=",", quotechar="'"):
- score = float(x) - args.closeness * sum(float(y_c) * c for y_c, c in zip(y, color))
- results.append((score, name))
- if args.number > 1:
- for i, (score, name) in enumerate(sorted(results)[:args.number]):
- print(f"{i+1}:\t{name}")
- if args.verbose:
- print(f"\t\t\t{score=}")
- else:
- best_score, best_name = min(results)
- print(f"Best match: {best_name}")
- if args.verbose:
- print(f"{score=}")
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