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)