def test_extract_index_meta(self): self.maxDiff = None dt = met.get_datetime_now() base_meta = { "created_at": dt, "model": "docfreq", "series": "pga-2018", "uuid": "12345678-9abc-def0-1234-56789abcdef0", "version": [1, 0, 2], "parent": "f64bacd4-67fb-4c64-8382-399a8e7db52a", "dependencies": ["1e3da42a-28b6-4b33-94a2-a5671f4102f4"], "description": "model_description", "license": "MIT", } extra_meta = { "code": "model_code %s", "datasets": [["any", "https://any"]], "description": "override", "references": [["any", "ref"]], "tags": ["one", "two"], "extra": { "feature": "value" }, } def route(url): self.assertEqual("https://xxx", url) return b"content" met.requests = FakeRequests(route) model_meta = met.extract_model_meta(base_meta, extra_meta, "https://xxx") self.assertIsInstance(model_meta, dict) self.assertGreater(len(met.format_datetime(dt)), 0) self.assertDictEqual( model_meta, { "default": { "default": "12345678-9abc-def0-1234-56789abcdef0", "description": "model_description", "code": "model_code %s" }, "model": { "created_at": met.format_datetime(dt), "code": "model_code %s", "description": "model_description", "dependencies": ["1e3da42a-28b6-4b33-94a2-a5671f4102f4"], "license": "MIT", "parent": "f64bacd4-67fb-4c64-8382-399a8e7db52a", "datasets": [["any", "https://any"]], "references": [["any", "ref"]], "size": "7 Bytes", "series": "pga-2018", "url": "https://xxx", "tags": ["one", "two"], "version": [1, 0, 2], "extra": { "feature": "value" } } })
def __str__(self): """Format model description as a string.""" try: dump = self.dump() except NotImplementedError: dump = "" except AttributeError: return repr(self) if dump: dump = "\n" + dump meta = deepcopy(self.meta) meta["created_at"] = format_datetime(meta["created_at"]) meta["size"] = humanize.naturalsize(self.size) try: meta["environment"]["packages"] = \ " ".join("%s==%s" % tuple(p) for p in self.environment["packages"]) except KeyError: pass return "%s%s" % (pformat(meta, width=1024), dump)