from expertai.nlapi.cloud.client import ExpertAiClient
client = ExpertAiClient()
text = "Michael Jordan was one of the best basketball players of all time. Scoring was Jordan's stand-out skill, but he still holds a defensive NBA record, with eight steals in a half."
language = 'en'
output = client.contexts()
# Contexts
print("Contexts:")
for context in output.contexts:
print(context.name)
print("\tLanguages:")
for language in context.languages:
print("\t", language.code)
def test_a_context_request_is_executed(self):
"""
...then verify that whole flow works as expected
"""
response_json = {
"success":
True,
"contexts": [{
"description":
"Standard context",
"languages": [{
"analyses": [
"disambiguation", "relevants", "entities", "sentiment",
"relations"
],
"code":
"en",
"name":
"English"
}, {
"analyses":
["disambiguation", "relevants", "entities", "relations"],
"code":
"es",
"name":
"Spanish"
}, {
"analyses":
["disambiguation", "relevants", "entities", "relations"],
"code":
"fr",
"name":
"French"
}, {
"analyses":
["disambiguation", "relevants", "entities", "relations"],
"code":
"de",
"name":
"German"
}, {
"analyses":
["disambiguation", "relevants", "entities", "relations"],
"code":
"it",
"name":
"Italian"
}],
"name":
"standard"
}]
}
response = MagicMock()
response.status_code = 200
response.ok = True
response.json.return_value = response_json
self.patched_get.return_value = response
client = ExpertAiClient()
dm = client.contexts()
self.assertEqual(dm.contexts[0].name, "standard")
self.assertEqual(dm.contexts[0].languages[4].code, "it")
self.assertEqual(dm.contexts[0].languages[3].analyses[2], "entities")