def create_app_dictionary():
#Create App Dictionary: Main function
requests.packages.urllib3.disable_warnings()
catalog = Catalog(url=os.environ['CATALOG_URL'])
nms = NarrativeMethodStore(url=os.environ['NARRATIVE_METHOD_STORE'])
apps = nms.list_methods({"tag": "release"})
apps_datastruc = pd.DataFrame.from_dict(apps)
ModDfApps = data_configure(apps_datastruc)
ModDfApps.drop([
'app_type', 'authors', 'git_commit_hash', 'icon', 'input_types',
'module_name', 'name', 'namespace', 'output_types', 'subtitle',
'tooltip', 'ver'
],
axis=1,
inplace=True)
keys = list(
set([
item for sublist in list(ModDfApps.categories) for item in sublist
]))
app_dict = {k: [] for k in keys}
for i in ModDfApps.index.values:
app_category_lst = ModDfApps["categories"][i]
for category in app_category_lst:
if category in app_dict.keys():
app_dict[category].append(ModDfApps["id"][i])
app_dict[category] = list(set(app_dict[category]))
else:
raise KeyError("{} not a KBase app category".format(category))
return app_dict
