public static void ShouldOutputFullDemographicsAnalysis()
{
String input =
"Name: Suzanne Martinez, Age: 39, Highest Level of Education: High School, Income: $45,000" + Environment.NewLine +
"Name: Melissa Brownell, Age: 27, Highest Level of Education: College, Income: $70,000" + Environment.NewLine +
"Name: Nathan Southern, Age: 73, Highest Level of Education: Grade School, Income: $33,000" + Environment.NewLine +
"Name: Celeste Willis, Age: 46, Highest Level of Education: High School, Income: $60,000" + Environment.NewLine +
"Name: Ashley Green, Age: 27, Highest Level of Education: College, Income: $100,000" + Environment.NewLine +
"Name: Jennifer Coleman, Age: 35, Highest Level of Education: High School, Income: $75,000" + Environment.NewLine;
var demographicsAnalysisInputStream = new MemoryStream(Encoding.UTF8.GetBytes(input));
var demographicsAnalysisOutputStream = new MemoryStream();
DemographicsAnalyzer.PrintFullDemographicsAnalysis(demographicsAnalysisInputStream, demographicsAnalysisOutputStream);
String demographicsAnalysisOutput = new StreamReader(demographicsAnalysisOutputStream).ReadFromBeginning();
String expectedOutput =
"Total Respondents: 6" + Environment.NewLine +
"Average Age: 41.2" + Environment.NewLine +
"Most Common Highest Level of Education: High School" + Environment.NewLine +
"Median Income: $65,000.00" + Environment.NewLine +
"Names of All Respondents: Melissa Brownell, Jennifer Coleman, Ashley Green, Suzanne Martinez, Nathan Southern, Celeste Willis" + Environment.NewLine;
Assert.AreEqual(expectedOutput, demographicsAnalysisOutput);
}
public async Task <string> Run(
[ServiceBusTrigger("crowd-analysis", "crowd-analyzer", Connection = "serviceBusConnection")] string request,
ILogger log)
{
DateTime startTime = DateTime.UtcNow;
log.LogInformation($"FUNC (CrowdAnalyzer): crowd-analysis topic triggered processing message: {request.Substring(0, 20)}");
CamFrameAnalysis analysis = null;
try
{
analysis = JsonConvert.DeserializeObject <CamFrameAnalysis>(request);
// Only process if there are detected faces
if (analysis.SimilarFaces == null && analysis.IdentifiedPersons == null)
{
log.LogWarning($"FUNC (CrowdAnalyzer): starting crowd-analysis: found no faces in the analysis request");
return(null);
}
DemographicsAnalyzer demographics = new DemographicsAnalyzer(
analysis,
visitorRepo,
crowdDemographicsRepo,
identifiedVisitorRepo,
log);
var isDemographicsUpdated = await demographics.UpdateDemographics();
log.LogInformation($"FUNC (CrowdAnalyzer): finished processing with result: {JsonConvert.SerializeObject(demographics.Demographics)}");
// If changes where made, publish changes to demographics-analysis topic
if (isDemographicsUpdated)
{
return(JsonConvert.SerializeObject(demographics.Demographics));
}
}
catch (Exception e)
{
log.LogError($"FUNC (CrowdAnalyzer): Failed with error: {JsonConvert.SerializeObject(e.Message)}");
}
return(null);
}
public static void ShouldComputeMedianIncome()
{
Money medianIncome = DemographicsAnalyzer.ComputeMedianIncome(Persons);
Assert.AreEqual(new Money(65000, "USD"), medianIncome);
}
public static void ShouldFindMostCommonHighestLevelOfEducation()
{
EducationLevel mostCommonHighestLevelOfEducation = DemographicsAnalyzer.FindMostCommonHighestLevelOfEducation(Persons);
Assert.AreEqual(EducationLevel.HighSchool, mostCommonHighestLevelOfEducation);
}
public static void ShouldComputeAverageAgeOfAllPersons()
{
decimal averageAge = DemographicsAnalyzer.ComputeAverageAge(Persons);
Assert.AreEqual(41.2, averageAge);
}
