34 lines
1.3 KiB
Python
34 lines
1.3 KiB
Python
import random
|
|
import os
|
|
from glob import glob
|
|
import json
|
|
|
|
with open("./data/level_species_cleaned.json", "r") as f:
|
|
LEVEL_SPECIES_LIST = json.load(f)
|
|
|
|
format_name = lambda folder_name : folder_name.replace('_', ' ')
|
|
to_folder_name = lambda species_name : species_name.replace(' ', '_').replace('\'', '').lower()
|
|
|
|
def get_proposals(question_species_name, available_species, n):
|
|
proposals = [question_species_name]
|
|
for i in range(n):
|
|
proposition = random.choice(available_species)
|
|
while proposition == question_species_name:
|
|
proposition = random.choice(available_species)
|
|
proposals.append(proposition)
|
|
random.shuffle(proposals)
|
|
return proposals
|
|
|
|
def new_question(level):
|
|
available_species = LEVEL_SPECIES_LIST[level]
|
|
question_species_name = random.choice(available_species)
|
|
question_species_folder = to_folder_name(question_species_name)
|
|
question = {}
|
|
audio_paths = list(map(os.path.basename, glob(f"static/data/src_audio/{question_species_folder}/*.mp3")))
|
|
audio_path = random.choice(audio_paths)
|
|
question["species"] = question_species_name
|
|
question["species_folder"] = question_species_folder
|
|
question["audio_path"] = audio_path
|
|
question["proposals"] = get_proposals(question_species_name, available_species, 5)
|
|
return question
|