private RequestBuilder buildProfileRequest(ProfileOptions options) {
Validate.notNull(options, "options cannot be null");
Validate.isTrue(
options.getText() != null || options.getContentItems() != null,
"text, html or content items need to be specified");
final String contentType = options.getContentType();
final RequestBuilder request = RequestBuilder.post(PATH_PROFILE);
if (options.getText() != null) {
request.withBodyContent(options.getText(), contentType);
} else {
final Content content = new Content();
content.setContentItems(options.getContentItems());
String body = gson.toJson(content);
request.withBodyContent(body, contentType);
}
if (options.getIncludeRaw() != null) request.withQuery(INCLUDE_RAW, options.getIncludeRaw());
if (options.getLanguage() != null)
request.withHeader(HttpHeaders.CONTENT_LANGUAGE, options.getLanguage());
if (options.getAcceptLanguage() != null)
request.withHeader(HttpHeaders.ACCEPT_LANGUAGE, options.getAcceptLanguage());
return request;
}
/** Test get profile. */
@Test
public void testGetProfileWithContent() {
ContentItem cItem = new ContentItem();
cItem.setContent(englishText);
Content content = new Content();
content.addContentItem(cItem);
Map<String, Object> params = new HashMap<String, Object>();
params.put(PersonalityInsights.CONTENT, content);
String contentJson = GsonSingleton.getGson().toJson(params.get(PersonalityInsights.CONTENT));
Profile p = new Profile();
p.setId("*UNKNOWN*");
p.setSource("*UNKNOWN*");
p.setWordCount(1339);
p.setWordCountMessage(
"There were 1,339 words in the input. We need a minimum of 3,500, preferably 6,000 or more, to compute a reliable estimate");
p.setProcessedLanguage("en");
Trait root = new Trait();
root.setId("r");
root.setName("root");
Trait childA = new Trait();
childA.setId("personality");
childA.setName("Big 5");
List<Trait> rootKids = new ArrayList<Trait>();
rootKids.add(childA);
root.setChildren(rootKids);
Trait childA1 = new Trait();
childA1.setId("Openness_parent");
childA1.setName("Openness");
childA1.setCategory("personality");
childA1.setPercentage(0.8834414318445747);
List<Trait> childAKids = new ArrayList<Trait>();
childAKids.add(childA1);
childA.setChildren(childAKids);
Trait childA11 = new Trait();
childA11.setId("Openness");
childA11.setName("Openness");
childA11.setCategory("personality");
childA11.setPercentage(0.8834414318445747);
childA11.setSamplingError(0.0577082256);
List<Trait> childA1Kids = new ArrayList<Trait>();
childA1Kids.add(childA11);
childA1.setChildren(childA1Kids);
Trait childA110 = new Trait();
childA110.setId("Adventurousness");
childA110.setName("Adventurousness");
childA110.setCategory("personality");
childA110.setPercentage(0.7395861152833635);
childA110.setSamplingError(0.0494178204);
Trait childA111 = new Trait();
childA111.setId("Imagination");
childA111.setName("Imagination");
childA111.setCategory("personality");
childA111.setPercentage(0.8226761749222228);
childA111.setSamplingError(0.0616986395);
Trait childA112 = new Trait();
childA112.setId("Artistic interests");
childA112.setName("Artistic interests");
childA112.setCategory("personality");
childA112.setPercentage(0.5127471735266416);
childA112.setSamplingError(0.0464200574);
Trait childA113 = new Trait();
childA113.setId("Emotionality");
childA113.setName("Emotionality");
childA113.setCategory("personality");
childA113.setPercentage(0.3995729122484725);
childA113.setSamplingError(0.0464200574);
List<Trait> childA11Kids = new ArrayList<Trait>();
childA11Kids.add(childA110);
childA11Kids.add(childA111);
childA11Kids.add(childA112);
childA11Kids.add(childA113);
childA11.setChildren(childA11Kids);
p.setTree(root);
mockServer
.when(
request()
.withMethod("POST")
.withPath(GET_PROFILE_PATH)
.withBody(contentJson.toString()))
.respond(
response()
.withHeaders(new Header(HttpHeaders.Names.CONTENT_TYPE, MediaType.APPLICATION_JSON))
.withBody(GsonSingleton.getGson().toJson(p)));
Profile profile = service.getProfile(params);
Assert.assertNotNull(profile);
Assert.assertEquals(profile, p);
}
