Hits wanikani API v1.4 to fetch user defined mnemonics for readings and meanings

fetch_mnemonics.py

import http.client
import json
import sys

API_KEY = sys.argv[1]
separator = "\t"

conn = http.client.HTTPSConnection('www.wanikani.com')
itemTypes = ["radicals", "kanji", "vocabulary"]

csv = open("mnemonics.csv", "w")
csv.write("type{}character{}meaning{}level{}meaning_note{}reading_note\n".format(separator, separator, separator, separator, separator)) # i'm too lazy to use a csv lib atm

for itemType in itemTypes:
	print(itemType)
	url = "/api/user/" + API_KEY + "/" + itemType
	conn.request("GET", url)
	resp = conn.getresponse()
	s = resp.read()
	jsons = json.loads(s)

	collection = jsons["requested_information"]
	if itemType == "vocabulary":
		collection = jsons["requested_information"]["general"]

	for item in collection:
		if not isinstance(item, str) and item != None and item["user_specific"] != None:
			character = item["character"]
			if character == None:
				character = ""

			meaning = ""
			if item["user_specific"]["meaning_note"] != None:
				meaning = item["user_specific"]["meaning_note"].replace("\n", " ").replace(separator, " ")
				print(meaning)

			reading = ""
			if item["user_specific"]["reading_note"] != None:
				reading = item["user_specific"]["reading_note"].replace("\n", " ").replace(separator, " ")
				print(reading)

			if meaning != "" or reading != "":
				csv.write(itemType + separator + character + separator + item["meaning"].split(separator)[0] + separator  + str(item["level"]) + separator + meaning + separator + reading+"\n")

csv.close()