public void SerializeEstimizeEstimateSuccessfully()
{
var data = new EstimizeEstimate()
{
Id = "0",
CreatedAt = new DateTime(2019, 6, 10)
};
var content = JsonConvert.SerializeObject(data, _jsonSerializerSettings);
Assert.IsTrue(content.Contains("\"id\":\"0\""));
Assert.IsTrue(content.Contains("\"created_at\":\"2019-06-10T00:00:00Z\""));
Assert.IsTrue(content.Contains("\"eps\":null"));
data.Eps = 1.2m;
content = JsonConvert.SerializeObject(data, _jsonSerializerSettings);
Assert.IsTrue(content.Contains("\"eps\":1.2"));
}
private IEnumerable <EstimizeConsensus> Unpack(EstimizeEstimate estimizeEstimate, Source source, Type type, JObject jObject)
{
var jToken = jObject[source.ToLower()][type.ToLower()];
var revisionsJToken = jToken["revisions"];
var consensuses = revisionsJToken == null
? new List <EstimizeConsensus>()
: JsonConvert.DeserializeObject <List <EstimizeConsensus> >(revisionsJToken.ToString());
consensuses.Add(JsonConvert.DeserializeObject <EstimizeConsensus>(jToken.ToString()));
foreach (var consensus in consensuses)
{
consensus.Id = estimizeEstimate.Id;
consensus.FiscalYear = estimizeEstimate.FiscalYear;
consensus.FiscalQuarter = estimizeEstimate.FiscalQuarter;
consensus.Source = source;
consensus.Type = type;
}
return(consensuses.Where(x => x.UpdatedAt > DateTime.MinValue));
}
/// <summary>
/// OnData event is the primary entry point for your algorithm. Each new data point will be pumped in here.
/// </summary>
/// <param name="data">EstimizeEstimate object containing the stock release data</param>
public void OnData(EstimizeEstimate data)
{
Log($"{Time} - {data}");
}
