def pagesToBistracker(pages):
dic = {}
key_pages = lambda p: p.metadata['classe']
sorted_pages = sorted(pages, key=key_pages)
group_pages = groupby(sorted_pages, key=key_pages)
for key_pages, pages_classes in group_pages:
for page in pages_classes:
name_classe = ClasseEnum(key_pages).name
name_spe = (WowIsClassicSpe[page.metadata['spe']].value).name
name_phase = PhaseEnum(page.metadata['phase']).name
slots = {}
for item in page.metadata['items']:
log(name_classe + ' ' + name_spe + ' ' + name_phase + ' :' +
item.url)
slot = {
'itemID': item.id,
'obtain': {
'Zone': item.location,
'Type': item.type,
'Method': item.method,
'Drop': item.dropRate,
'Url': item.url
}
}
slotName = item.slot.name
# case: several ring and trinket
if (item.slot in {SlotEnum.Ring, SlotEnum.Trinket}):
dic_found = {
k: v
for k, v in slots.items() if slotName in k
}
slotName += "2" if len(dic_found) > 0 else "1"
# case: classe with ambidexterity
if (item.slot in {SlotEnum.MainHand}):
dic_found = {
k: v
for k, v in slots.items() if slotName in k
}
slotName = SlotEnum.OffHand.name if len(
dic_found) > 0 else SlotEnum.MainHand.name
slots = merge(slots, {slotName: slot})
dic = merge(dic, {name_classe: {name_spe: {name_phase: slots}}})
return dic
def Section(title, links, description=None, headerStyle={}):
return html.Div([
html.H2(title, style=merge(styles['underline'], headerStyle)),
(
html.Div(description)
if description is not None else None
),
html.Ul(links)
])
def generate_list():
logger.info("Generating list.")
list_of_recipes = json.loads(request.data)
# scrapping
print('call scraping')
ingredients = scrape(list_of_recipes)
# merge ingredients
print('call merge')
merged_ingredients = merge(ingredients)
print(merged_ingredients)
print('send response')
return json.dumps(merged_ingredients)
'''
This module reindexes a Mahir study set from 1 to N.
This is necessary when terms are deleted or merged and
the IDs have gaps.
'''
import sys
import json
from tools import reindex, merge, save
try:
file = sys.argv[1]
except:
print('no file given...doing nothing...')
# get ids to merge
tomerge = sys.argv[2:]
# load the vocab file
with open(file, 'r') as infile:
vocab = json.load(infile)
# merge requested term ids
merged = merge(vocab, tomerge)
# reindex term ids from 1 to N
reindexed = reindex(vocab)
# export data back to file
save(reindexed, file)