private async Task <Dictionary <uint, string> > GetActiveIngredients(uint drugId)
{
Core.Models.ApiRequestData requestData = new Core.Models.ApiRequestData();
requestData.Key = apiKey;
requestData.Lib = new List <ushort> {
62
};
requestData.Binarization = 0;
requestData.Level = new List <ushort> {
1600
};
requestData.Route = 2;
requestData.Deepness = 1;
requestData.LibId = new List <string> {
drugId.ToString()
};
requestData.Valmore = false;
var stringPayload = await Task.Run(() => JsonConvert.SerializeObject(requestData));
HttpContent content = new StringContent(stringPayload, Encoding.UTF8, "application/json");
var resp = await httpClient.PostAsync("https://cs.socmedica.com/api/umkb/getsemantic", content);
if (resp.Content == null)
{
return(null);
}
var responseContent = await resp.Content.ReadAsStringAsync();
Core.Models.ApiResponseData responseData = JsonConvert.DeserializeObject <Core.Models.ApiResponseData>(responseContent);
//get the trademark's node
var tm = responseData.Graph.FirstOrDefault(x => x.IdA == 0 && x.IdB == 0);
if (tm == null)
{
return(null);
}
//get active ingredients
Dictionary <uint, string> ret = new Dictionary <uint, string>();
responseData.Graph.ForEach(x =>
{
if (x.Level == 1600)
{
if (x.IdA == drugId)
{
ret.Add(x.IdB, responseData.Names[x.IdB]);
}
if (x.IdB == drugId)
{
ret.Add(x.IdA, responseData.Names[x.IdA]);
}
}
});
return(ret);
}
private async Task <Dictionary <uint, string> > GetAnatomicalTherapeuticChemicalClassification(uint activeIngredientId)
{
Core.Models.ApiRequestData requestData = new Core.Models.ApiRequestData();
requestData.Key = apiKey;
requestData.Lib = new List <ushort> {
62
};
requestData.Binarization = 0;
requestData.Level = new List <ushort> {
1621
};
requestData.Route = 0;
requestData.Deepness = 1;
requestData.LibId = new List <string> {
activeIngredientId.ToString()
};
requestData.Valmore = false;
var stringPayload = await Task.Run(() => JsonConvert.SerializeObject(requestData));
HttpContent content = new StringContent(stringPayload, Encoding.UTF8, "application/json");
var resp = await httpClient.PostAsync("https://cs.socmedica.com/api/umkb/getsemantic", content);
if (resp.Content == null)
{
return(null);
}
var responseContent = await resp.Content.ReadAsStringAsync();
Core.Models.ApiResponseData responseData = JsonConvert.DeserializeObject <Core.Models.ApiResponseData>(responseContent);
//get attached nodes' names
Dictionary <uint, string> ret = new Dictionary <uint, string>();
if (responseData.Graph == null)
{
return(null);
}
responseData.Graph.ForEach(x =>
{
if (x.Level == 1621)
{
if (x.IdA == activeIngredientId && !ret.ContainsKey(x.IdB))
{
ret.Add(x.IdB, responseData.Names[x.IdB]);
}
if (x.IdB == activeIngredientId && !ret.ContainsKey(x.IdA))
{
ret.Add(x.IdA, responseData.Names[x.IdA]);
}
}
});
return(ret);
}
private async Task <(uint id, string name)?> GetDrugId(string drugName)
{
Core.Models.ApiRequestData requestData = new Core.Models.ApiRequestData();
requestData.Key = apiKey;
requestData.Lib = new List <ushort> {
62
};
requestData.Binarization = 0;
requestData.Level = new List <ushort> {
1600
};
requestData.Route = 2;
requestData.Deepness = 0;
requestData.Text = drugName;
requestData.Valmore = false;
var stringPayload = await Task.Run(() => JsonConvert.SerializeObject(requestData));
HttpContent content = new StringContent(stringPayload, Encoding.UTF8, "application/json");
var resp = await httpClient.PostAsync("https://cs.socmedica.com/api/umkb/getsemantic", content);
if (resp.Content == null)
{
return(null);
}
var responseContent = await resp.Content.ReadAsStringAsync();
Core.Models.ApiResponseData responseData = JsonConvert.DeserializeObject <Core.Models.ApiResponseData>(responseContent);
//get the trademark's node
if (responseData.Graph == null)
{
return(null);
}
var tm = responseData.Graph.FirstOrDefault();
if (tm == null)
{
return(null);
}
return(tm.Id, responseData.Names[tm.Id]);
}
