def title(self, **kwargs):
title = getattr(self, "title_{}".format(g.locale))
title = self.format_text(title, kwargs)
if g.locale == "pt":
if "wld" in title and "bra" in title:
if self.imports:
if "comercializam" not in title:
if title.index("wld") > title.index("bra"):
title = title.replace("wld", "temp", 2)
title = title.replace("bra", "wld", 2)
title = title.replace("temp", "bra", 2)
else:
title = title.replace("comercializam <wld_para>", "importam <wld_de>")
else:
if self.imports:
if "of <bra>" and "to <wld>" in title:
title = title.replace("to <wld>", "to <bra>")
title = title.replace("of <bra>", "from <wld>")
if "trade with" in title:
title = title.replace("trade with", "import from")
if title:
for f in ["bra", "cnae", "hs", "cbo", "wld", "university", "course_hedu", "course_sc"]:
if hasattr(self, f):
attr = getattr(self, f)
if not isinstance(attr, (unicode, str)):
title = title_format(title, attr)
return title
def recommend(app_name=None, dataset=None, bra_id="4mg", filter1=None, filter2=None, output=None):
recommended = {}
build_filter1, build_filter2 = filler(dataset, filter1, filter2)
'''Grab attrs for bra and filters
'''
bra_all = [Wld.query.get_or_404("sabra")]
if bra_id == "all":
bra_attr = bra_all
else:
bra_attr = [Bra.query.get_or_404(b) for b in bra_id.split("_")]
filter1_attr = filter1
filter2_attr = filter2
profile = False
if filter1 != "all":
filter1_attr = globals()[build_filter1.capitalize()].query.get_or_404(filter1)
if output == build_filter1:
profile = filter1_attr
recommended["crosswalk"] = crosswalk_recs(dataset, build_filter1, filter1)
if filter2 != "all":
filter2_attr = globals()[build_filter2.capitalize()].query.get_or_404(filter2)
if output == build_filter2:
profile = filter2_attr
recommended["crosswalk"] = crosswalk_recs(dataset, build_filter2, filter2)
if profile == False and output == "bra":
profile = bra_attr[0]
if profile and output != "school":
if g.locale == "pt":
title = u"Perfil <{0}_para> <{0}>".format(output)
else:
title = u"Profile for <{0}>".format(output)
recommended["profile"] = {
"title": title_format(title, profile),
"url": profile.url()
}
if build_filter1 != "all":
build_filter1 = "<{}>".format(build_filter1)
if build_filter2 != "all":
build_filter2 = "<{}>".format(build_filter2)
kwargs = {k: v for k, v in request.args.items()}
if app_name == "geo_map" and len(bra_id) < 9:
custom = Build.query.filter_by(app_id=3, dataset=dataset, filter1=build_filter1, filter2=build_filter2, output=output).first()
custom.set_bra(bra_attr)
custom.set_filter1(filter1_attr)
custom.set_filter2(filter2_attr)
recommended["custom"] = custom.json(**kwargs)
for bra in bra_attr:
recommended['builds'] = get_builds(bra, dataset, build_filter1, filter1_attr, build_filter2, filter2_attr, kwargs)
if bra_id != "all" and output != "bra":
recommended['builds'] += get_builds(bra_all[0], dataset, build_filter1, filter1_attr, build_filter2, filter2_attr, kwargs)
return jsonify(recommended)
def title(self, **kwargs):
title = getattr(self, "title_{}".format(g.locale))
title = self.format_text(title, kwargs)
if title:
for f in ["bra", "cnae", "hs", "cbo", "wld", "university", "course_hedu", "course_sc"]:
if hasattr(self, f):
attr = getattr(self, f)
if not isinstance(attr, (unicode, str)):
title = title_format(title, attr)
return title
def title(self, **kwargs):
title = getattr(self, "title_{}".format(g.locale))
title = self.format_text(title, kwargs)
if title:
for f in ["bra", "cnae", "hs", "cbo", "wld", "university", "course_hedu", "course_sc"]:
if hasattr(self, f):
attr = getattr(self, f)
if not isinstance(attr, (unicode, str)):
title = title_format(title, attr)
return title
def recommend(app_name=None,
dataset=None,
bra_id="4mg",
filter1=None,
filter2=None,
output=None):
recommended = {}
build_filter1, build_filter2 = filler(dataset, filter1, filter2)
'''Grab attrs for bra and filters
'''
bra_all = [Wld.query.get_or_404("sabra")]
if bra_id == "all":
bra_attr = bra_all
else:
bra_attr = [Bra.query.get_or_404(b) for b in bra_id.split("_")]
filter1_attr = filter1
filter2_attr = filter2
profile = False
if filter1 != "all":
filter1_attr = globals()[build_filter1.capitalize()].query.get_or_404(
filter1)
if output == build_filter1:
profile = filter1_attr
recommended["crosswalk"] = crosswalk_recs(dataset, build_filter1,
filter1)
if filter2 != "all":
filter2_attr = globals()[build_filter2.capitalize()].query.get_or_404(
filter2)
if output == build_filter2:
profile = filter2_attr
recommended["crosswalk"] = crosswalk_recs(dataset, build_filter2,
filter2)
if profile == False and output == "bra":
profile = bra_attr[0]
if profile and output != "school":
if g.locale == "pt":
title = u"Perfil <{0}_para> <{0}>".format(output)
else:
title = u"Profile for <{0}>".format(output)
recommended["profile"] = {
"title": title_format(title, profile),
"url": profile.url()
}
if build_filter1 != "all":
build_filter1 = "<{}>".format(build_filter1)
if build_filter2 != "all":
build_filter2 = "<{}>".format(build_filter2)
kwargs = {k: v for k, v in request.args.items()}
if app_name == "geo_map" and len(bra_id) < 9:
custom = Build.query.filter_by(app_id=3,
dataset=dataset,
filter1=build_filter1,
filter2=build_filter2,
output=output).first()
custom.set_bra(bra_attr)
custom.set_filter1(filter1_attr)
custom.set_filter2(filter2_attr)
recommended["custom"] = custom.json(**kwargs)
for bra in bra_attr:
recommended['builds'] = get_builds(bra, dataset, build_filter1,
filter1_attr, build_filter2,
filter2_attr, kwargs)
if bra_id != "all" and output != "bra":
recommended['builds'] += get_builds(bra_all[0], dataset, build_filter1,
filter1_attr, build_filter2,
filter2_attr, kwargs)
return jsonify(recommended)
