public static IActionResult RunAcronymLinkerForLists([HttpTrigger(AuthorizationLevel.Function, "post", Route = null)] HttpRequest req,
ILogger log,
ExecutionContext executionContext)
{
log.LogInformation("Link Acronyms List Custom Skill: C# HTTP trigger function processed a request.");
string skillName = executionContext.FunctionName;
IEnumerable <WebApiRequestRecord> requestRecords = WebApiSkillHelpers.GetRequestRecords(req);
if (requestRecords == null)
{
return(new BadRequestObjectResult($"{skillName} - Invalid request record array."));
}
AcronymLinker acronymLinker = new AcronymLinker(executionContext.FunctionAppDirectory);
WebApiSkillResponse response = WebApiSkillHelpers.ProcessRequestRecords(skillName, requestRecords,
(inRecord, outRecord) => {
var words = JsonConvert.DeserializeObject <JArray>(JsonConvert.SerializeObject(inRecord.Data["words"]));
var acronyms = words
.Distinct()
.Select(jword =>
{
var word = jword.Value <string>();
if (word.All(char.IsUpper) && acronymLinker.Acronyms.TryGetValue(word, out string description))
{
return(new { value = word, description });
}
return(null);
})
.Where(acronym => acronym != null);
outRecord.Data["acronyms"] = acronyms.ToArray();
return(outRecord);
});
public static async Task <IActionResult> Run(
[HttpTrigger(AuthorizationLevel.Function, "get", "post", Route = null)] HttpRequest req,
ILogger log,
ExecutionContext executionContext)
{
log.LogInformation("Entity Search Custom Skill: C# HTTP trigger function processed a request.");
string skillName = executionContext.FunctionName;
IEnumerable <WebApiRequestRecord> requestRecords = WebApiSkillHelpers.GetRequestRecords(req);
if (requestRecords == null)
{
return(new BadRequestObjectResult($"{skillName} - Invalid request record array."));
}
string bingApiKey = Environment.GetEnvironmentVariable(bingApiKeySetting, EnvironmentVariableTarget.Process);
WebApiSkillResponse response = await WebApiSkillHelpers.ProcessRequestRecordsAsync(skillName, requestRecords,
async (inRecord, outRecord) => {
var entityName = inRecord.Data["name"] as string;
string uri = bingApiEndpoint + "?q=" + Uri.EscapeDataString(entityName) + "&mkt=en-us&count=10&offset=0&safesearch=Moderate";
IEnumerable <BingEntity> entities =
await WebApiSkillHelpers.Fetch <BingEntity>(uri, "Ocp-Apim-Subscription-Key", bingApiKey, "entities.value");
ExtractTopEntityMetadata(entities, outRecord.Data);
outRecord.Data["entities"] = entities;
return(outRecord);
});
return(new OkObjectResult(response));
}
public static IActionResult RunAcronymLinker(
[HttpTrigger(AuthorizationLevel.Function, "get", "post", Route = null)] HttpRequest req,
ILogger log,
ExecutionContext executionContext)
{
log.LogInformation("Link Acronyms Custom Skill: C# HTTP trigger function processed a request.");
string skillName = executionContext.FunctionName;
IEnumerable <WebApiRequestRecord> requestRecords = WebApiSkillHelpers.GetRequestRecords(req);
if (requestRecords == null)
{
return(new BadRequestObjectResult($"{skillName} - Invalid request record array."));
}
AcronymLinker acronymLinker = new AcronymLinker(executionContext.FunctionAppDirectory);
WebApiSkillResponse response = WebApiSkillHelpers.ProcessRequestRecords(skillName, requestRecords,
(inRecord, outRecord) => {
string word = inRecord.Data["word"] as string;
if (word.All(char.IsUpper) && acronymLinker.Acronyms.TryGetValue(word, out string description))
{
outRecord.Data["acronym"] = new { value = word, description };
}
return(outRecord);
});
return(new OkObjectResult(response));
}
public static async Task <HttpResponseMessage> Run([HttpTrigger(AuthorizationLevel.Function, "post", Route = null)] HttpRequestMessage req, TraceWriter log, ExecutionContext executionContext)
{
log.Info("C# HTTP trigger function processed a request.");
string skillName = executionContext.FunctionName;
IEnumerable <WebApiRequestRecord> requestRecords = WebApiSkillHelpers.GetRequestRecords(req);
if (requestRecords == null)
{
return(req.CreateErrorResponse(HttpStatusCode.BadRequest, $"{skillName} - Invalid request record array."));
}
dynamic obj = requestRecords.First().Data.First().Value;
string val = await MakeRequest(obj);
ContentModerator mod = JsonConvert.DeserializeObject <ContentModerator>(val);
WebApiResponseRecord output = new WebApiResponseRecord();
output.RecordId = requestRecords.First().RecordId;
output.Data["PII"] = mod.PII;
WebApiSkillResponse resp = new WebApiSkillResponse();
resp.Values = new List <WebApiResponseRecord>();
resp.Values.Add(output);
return(req.CreateResponse(HttpStatusCode.OK, resp));
}
public static async Task <IActionResult> Run(
[HttpTrigger(AuthorizationLevel.Anonymous, "get", "post", Route = null)] HttpRequest req,
ILogger log)
{
IEnumerable <WebApiRequestRecord> requestRecords = WebApiSkillHelpers.GetRequestRecords(req);
if (requestRecords == null)
{
return(new BadRequestObjectResult($"GetMetaData - Invalid request record array."));
}
WebApiSkillResponse response = WebApiSkillHelpers.ProcessRequestRecords("GetMetaData", requestRecords,
(inRecord, outRecord) =>
{
var input1 = inRecord.Data["field_1"].ToString();
var input2 = inRecord.Data["field_2"].ToString();
outRecord.Data["output_field_1"] = input1;
outRecord.Data["output_field_2"] = input2;
return(outRecord);
});
return((ActionResult) new OkObjectResult(response));
}
public static IActionResult RunHocrGenerator(
[HttpTrigger(AuthorizationLevel.Function, "post", Route = null)] HttpRequest req,
ILogger log,
ExecutionContext executionContext)
{
log.LogInformation("hOCR Generator Custom Skill: C# HTTP trigger function processed a request.");
string skillName = executionContext.FunctionName;
IEnumerable <WebApiRequestRecord> requestRecords = WebApiSkillHelpers.GetRequestRecords(req);
if (requestRecords == null || requestRecords.Count() != 1)
{
return(new BadRequestObjectResult($"{skillName} - Invalid request record array: Skill requires exactly 1 image per request."));
}
WebApiSkillResponse response = WebApiSkillHelpers.ProcessRequestRecords(skillName, requestRecords,
(inRecord, outRecord) => {
List <OcrImageMetadata> imageMetadataList = ((JArray)inRecord.Data["ocrImageMetadataList"]).ToObject <List <OcrImageMetadata> >();
Dictionary <string, string> annotations = ((JArray)inRecord.Data["wordAnnotations"])
.Where(o => o.Type != JTokenType.Null)
.GroupBy(o => o["value"].Value <string>())
.Select(g => g.First())
.ToDictionary(o => o["value"].Value <string>(), o => o["description"].Value <string>());
List <HocrPage> pages = imageMetadataList
.Select((imageMetadata, i) => new HocrPage(imageMetadata, i, annotations))
.ToList();
outRecord.Data["hocrDocument"] = new HocrDocument(pages);
return(outRecord);
});
return(new OkObjectResult(response));
}
public async Task <IActionResult> RunVideoIndexer(
[HttpTrigger(AuthorizationLevel.Function, "post", Route = null)] HttpRequest req,
ILogger log,
ExecutionContext executionContext)
{
log.LogInformation("Video Indexer Custom Skill: C# HTTP trigger function processed a request");
var skillName = executionContext.FunctionName;
var requestRecords = WebApiSkillHelpers.GetRequestRecords(req);
if (requestRecords == null)
{
return(new BadRequestObjectResult($"{skillName} - Invalid request record array."));
}
var response = await WebApiSkillHelpers.ProcessRequestRecordsAsync(skillName,
requestRecords,
async (inRecord, outRecord) =>
{
var encodedVideoUrl = (string)inRecord.Data["metadata_storage_path"];
var videoUrl = UrlSafeBase64Decode(encodedVideoUrl);
var videoName = (string)inRecord.Data["metadata_storage_name"];
var sasKey = await _videoIndexerBlobClient.GetSasKey(videoUrl);
var videoId = await _videoIndexerClient.SubmitVideoIndexingJob(videoUrl + sasKey, encodedVideoUrl, videoName);
log.LogInformation("Uploaded video {VideoName} - Video Id in indexer: {Id}", videoName, videoId);
outRecord.Data["videoId"] = videoId;
return(outRecord);
});
return(new OkObjectResult(response));
}
public static IActionResult RunUploadToQnaMaker(
[HttpTrigger(AuthorizationLevel.Function, "post", Route = null)] HttpRequest req,
[Queue("upload-to-qna"), StorageAccount("AzureWebJobsStorage")] ICollector <QnAQueueMessageBatch> msg,
ILogger log,
ExecutionContext executionContext)
{
log.LogInformation("UploadToQnAMaker Custom Skill: C# HTTP trigger function processed a request.");
string skillName = executionContext.FunctionName;
IEnumerable <WebApiRequestRecord> requestRecords = WebApiSkillHelpers.GetRequestRecords(req);
if (requestRecords == null)
{
return(new BadRequestObjectResult($"{skillName} - Invalid request record array."));
}
var msgBatch = new QnAQueueMessageBatch();
WebApiSkillResponse response = WebApiSkillHelpers.ProcessRequestRecords(skillName, requestRecords,
(inRecord, outRecord) =>
{
string id = (inRecord.Data.TryGetValue("id", out object idObject) ? idObject : null) as string;
string blobName = (inRecord.Data.TryGetValue("blobName", out object blobNameObject) ? blobNameObject : null) as string;
string blobUrl = (inRecord.Data.TryGetValue("blobUrl", out object blobUrlObject) ? blobUrlObject : null) as string;
string sasToken = (inRecord.Data.TryGetValue("sasToken", out object sasTokenObject) ? sasTokenObject : null) as string;
long blobSizeInKBs = (inRecord.Data.TryGetValue("blobSize", out object blobSizeObject) ? (long)blobSizeObject : 0) / 1024;
if (string.IsNullOrWhiteSpace(blobUrl))
{
outRecord.Errors.Add(new WebApiErrorWarningContract()
{
Message = $"Parameter '{nameof(blobUrl)}' is required to be present and a valid uri."
});
return(outRecord);
}
string fileUri = WebApiSkillHelpers.CombineSasTokenWithUri(blobUrl, sasToken);
if (!IsValidFile(blobName, blobSizeInKBs))
{
log.LogError("upload-to-qna-queue-trigger: unable to extract qnas from this file " + blobName + " of size " + blobSizeInKBs);
outRecord.Data["status"] = "Failed";
}
else
{
var queueMessage = new QnAQueueMessage
{
Id = id,
FileName = blobName,
FileUri = fileUri
};
msgBatch.Values.Add(queueMessage);
if (msgBatch.Values.Count >= 10)
{
msg.Add(msgBatch);
msgBatch.Values.Clear();
}
outRecord.Data["status"] = "InQueue";
}
return(outRecord);
});
public static IActionResult RunDecryptBlobFile(
[HttpTrigger(AuthorizationLevel.Function, "post", Route = null)] HttpRequest req,
ILogger log,
ExecutionContext executionContext)
{
log.LogInformation("DecryptBlobFile Custom Skill: C# HTTP trigger function processed a request.");
string skillName = executionContext.FunctionName;
IEnumerable <WebApiRequestRecord> requestRecords = WebApiSkillHelpers.GetRequestRecords(req);
if (requestRecords == null)
{
return(new BadRequestObjectResult($"{skillName} - Invalid request record array."));
}
// Set up access to keyvault to retrieve the key to decrypt the document with
// Requires that this Azure Function has access via managed identity to the Keyvault where the key is stored.
var azureServiceTokenProvider1 = new AzureServiceTokenProvider();
var kv = new KeyVaultClient(new KeyVaultClient.AuthenticationCallback(azureServiceTokenProvider1.KeyVaultTokenCallback));
KeyVaultKeyResolver cloudResolver = new KeyVaultKeyResolver(kv);
BlobEncryptionPolicy policy = new BlobEncryptionPolicy(null, cloudResolver);
BlobRequestOptions options = new BlobRequestOptions()
{
EncryptionPolicy = policy
};
WebApiSkillResponse response = WebApiSkillHelpers.ProcessRequestRecords(skillName, requestRecords,
(inRecord, outRecord) =>
{
string blobUrl = (inRecord.Data.TryGetValue("blobUrl", out object blobUrlObject) ? blobUrlObject : null) as string;
string sasToken = (inRecord.Data.TryGetValue("sasToken", out object sasTokenObject) ? sasTokenObject : null) as string;
if (string.IsNullOrWhiteSpace(blobUrl))
{
outRecord.Errors.Add(new WebApiErrorWarningContract()
{
Message = $"Parameter '{nameof(blobUrl)}' is required to be present and a valid uri."
});
return(outRecord);
}
CloudBlockBlob blob = new CloudBlockBlob(new Uri(WebApiSkillHelpers.CombineSasTokenWithUri(blobUrl, sasToken)));
byte[] decryptedFileData;
using (var np = new MemoryStream())
{
blob.DownloadToStream(np, null, options, null);
decryptedFileData = np.ToArray();
}
FileReference decryptedFileReference = new FileReference()
{
data = Convert.ToBase64String(decryptedFileData)
};
JObject jObject = JObject.FromObject(decryptedFileReference);
jObject["$type"] = "file";
outRecord.Data["decrypted_file_data"] = jObject;
return(outRecord);
});
public static async Task <IActionResult> RunAnalyzeForm(
[HttpTrigger(AuthorizationLevel.Function, "post", Route = null)] HttpRequest req,
ILogger log,
ExecutionContext executionContext)
{
log.LogInformation("Analyze Form Custom Skill: C# HTTP trigger function processed a request.");
string skillName = executionContext.FunctionName;
IEnumerable <WebApiRequestRecord> requestRecords = WebApiSkillHelpers.GetRequestRecords(req);
if (requestRecords == null)
{
return(new BadRequestObjectResult($"{skillName} - Invalid request record array."));
}
string formsRecognizerApiKey = Environment.GetEnvironmentVariable(formsRecognizerApiKeySetting, EnvironmentVariableTarget.Process);
string modelId = Environment.GetEnvironmentVariable(modelIdSetting, EnvironmentVariableTarget.Process);
WebApiSkillResponse response = await WebApiSkillHelpers.ProcessRequestRecordsAsync(skillName, requestRecords,
async (inRecord, outRecord) => {
var formUrl = inRecord.Data["formUrl"] as string;
var formSasToken = inRecord.Data["formSasToken"] as string;
// Fetch the document
byte[] documentBytes;
using (var webClient = new WebClient())
{
documentBytes = await webClient.DownloadDataTaskAsync(new Uri(formUrl + formSasToken));
}
string uri = formsRecognizerApiEndpoint + "/models/" + Uri.EscapeDataString(modelId) + "/analyze";
List <Page> pages =
(await WebApiSkillHelpers.FetchAsync <Page>(
uri,
apiKeyHeader: "Ocp-Apim-Subscription-Key",
apiKey: formsRecognizerApiKey,
collectionPath: "pages",
method: HttpMethod.Post,
postBody: documentBytes,
contentType))
.ToList();
foreach (KeyValuePair <string, string> kvp in fieldMappings)
{
var value = GetField(pages, kvp.Key);
if (!string.IsNullOrWhiteSpace(value))
{
outRecord.Data[kvp.Value] = value;
}
}
return(outRecord);
});
return(new OkObjectResult(response));
}
public static async Task <HttpResponseMessage> Run([HttpTrigger(AuthorizationLevel.Function, "post", Route = null)] HttpRequestMessage req, TraceWriter log, ExecutionContext executionContext)
{
log.Info("C# HTTP trigger function processed a request.");
string skillName = executionContext.FunctionName;
IEnumerable <WebApiRequestRecord> requestRecords = WebApiSkillHelpers.GetRequestRecords(req);
if (requestRecords == null)
{
return(req.CreateErrorResponse(HttpStatusCode.BadRequest, $"{skillName} - Invalid request record array."));
}
dynamic obj = requestRecords.First().Data.First().Value;
if (obj.Length > 1024)
{
obj = obj.Substring(0, 1024);
}
string val = await MakeRequest(obj);
ContentModerator mod = JsonConvert.DeserializeObject <ContentModerator>(val);
bool requiresModeration = false;
//Jon Dobrzeniecki helped with the code below, since may 2019 the CM API isn't returning the PII section if there is no data for it
if (mod.PII != null)
{
if (mod.PII.Email.Length > 0)
{
requiresModeration = true;
}
if (mod.PII.Address.Length > 0)
{
requiresModeration = true;
}
if (mod.PII.IPA.Length > 0)
{
requiresModeration = true;
}
if (mod.PII.Phone.Length > 0)
{
requiresModeration = true;
}
}
WebApiResponseRecord output = new WebApiResponseRecord();
output.RecordId = requestRecords.First().RecordId;
output.Data["text"] = requiresModeration;
WebApiSkillResponse resp = new WebApiSkillResponse();
resp.Values = new List <WebApiResponseRecord>();
resp.Values.Add(output);
return(req.CreateResponse(HttpStatusCode.OK, resp));
}
public void CanCombineNormalUriWithNormalSasToken()
{
// This is typical case when user supplies blob metadata_storage_path and metadata_storage_sas_token
var uri = @"http://www.myblob.com";
var sasToken = @"?sp=rl&st=2020-01-17T23:22:10Z&se=2020-01-31T23:22:00Z&sv=2019-02-02&sr=b&sig=wcXZOnZGjJssuJYHgjSeSXIrEs6FVckj6lgTtB1VpVc%3D";
var result = WebApiSkillHelpers.CombineSasTokenWithUri(uri, sasToken);
Assert.AreEqual(
"http://www.myblob.com:80/?sp=rl&st=2020-01-17T23%3a22%3a10Z&se=2020-01-31T23%3a22%3a00Z&sv=2019-02-02&sr=b&sig=wcXZOnZGjJssuJYHgjSeSXIrEs6FVckj6lgTtB1VpVc%3d"
, result);
}
public static async Task <IActionResult> RunCustomVision(
[HttpTrigger(AuthorizationLevel.Function, "post", Route = null)] HttpRequest req,
ILogger log,
ExecutionContext executionContext)
{
log.LogInformation("Custom Vision Custom Skill: C# HTTP trigger function processed a request.");
string skillName = executionContext.FunctionName;
IEnumerable <WebApiRequestRecord> requestRecords = WebApiSkillHelpers.GetRequestRecords(req);
if (requestRecords == null)
{
return(new BadRequestObjectResult($"{skillName} - Invalid request record array."));
}
var predictionUrl = Environment.GetEnvironmentVariable(customVisionPredictionUrlSetting, EnvironmentVariableTarget.Process);
var predictionKey = Environment.GetEnvironmentVariable(customVisionApiKeySetting, EnvironmentVariableTarget.Process);
var maxPages = Convert.ToInt32(Environment.GetEnvironmentVariable(maxPagesSetting, EnvironmentVariableTarget.Process));
if (maxPages == 0)
{
maxPages = 1;
}
var threshold = Convert.ToDouble(Environment.GetEnvironmentVariable(minProbabilityThresholdSetting, EnvironmentVariableTarget.Process));
if (threshold == 0.0)
{
threshold = 0.5;
}
WebApiSkillResponse response = await WebApiSkillHelpers.ProcessRequestRecordsAsync(skillName, requestRecords,
async (inRecord, outRecord) => {
var pages = inRecord.Data["pages"] as JArray;
var tags = new List <string>();
var predictions = new List <object>();
foreach (var page in pages.Take(maxPages))
{
var pageBinaryData = Convert.FromBase64String(page.ToString());
var pagePredictions = await GetPredictionsForImageAsync(pageBinaryData, predictionUrl, predictionKey);
var analyzeResult = JsonConvert.DeserializeObject <AnalyzeResult>(pagePredictions);
var pageTags = analyzeResult.Predictions.Where(p => p.Probability >= threshold).Select(p => p.TagName).Distinct();
tags.AddRange(pageTags);
}
outRecord.Data["tags"] = tags.Distinct().ToArray();
return(outRecord);
});
return(new OkObjectResult(response));
}
public static IActionResult RunProjection(
[HttpTrigger(AuthorizationLevel.Function, "post", Route = null)] HttpRequest req,
ILogger log, ExecutionContext executionContext)
{
log.LogInformation("Projection: C# HTTP trigger function processed a request.");
string skillName = executionContext.FunctionName;
log.LogInformation($"REQUEST: {new StreamReader(req.Body).ReadToEnd()}");
req.Body.Position = 0;
IEnumerable <WebApiRequestRecord> requestRecords = WebApiSkillHelpers.GetRequestRecords(req);
if (requestRecords == null)
{
return(new BadRequestObjectResult($"{skillName} - Invalid request record array."));
}
WebApiSkillResponse response = WebApiSkillHelpers.ProcessRequestRecords(skillName, requestRecords,
(inRecord, outRecord) =>
{
Conversation[] turns = JsonConvert.DeserializeObject <Conversation[]>(inRecord.Data["conversation"].ToString());
List <Conversation> output = turns.ToList <Conversation>();
if (output == null || output.All(x => x == null))
{
outRecord.Data["result"] = null;
outRecord.Data["summary"] = null;
return(outRecord);
}
var sortedList = output.OrderBy(foo => foo.offset).ToList();
ConversationSummary summary = new ConversationSummary();
summary.Turns = turns.Length;
if (sortedList.Where(c => c.speaker == "1").FirstOrDefault() == null)
{
summary.AverageSentiment = 0;
summary.LowestSentiment = 0;
summary.HighestSentiment = 0;
summary.MaxChange = new Tuple <int, float>(0, 0.0f);
}
else
{
summary.AverageSentiment = sortedList.Where(c => c.speaker == "1").Select(a => a.sentiment).Average();
summary.LowestSentiment = sortedList.Where(c => c.speaker == "1").Select(a => a.sentiment).Min();
summary.HighestSentiment = sortedList.Where(c => c.speaker == "1").Select(a => a.sentiment).Max();
//summary.MaxChange = ConversationSummary.MaxDiff(sortedList.Where(c => c.speaker == "1").Select(a => a.sentiment).ToList());
summary.Moment = ConversationSummary.GetKeyMoment(sortedList);
}
outRecord.Data["result"] = sortedList;
outRecord.Data["summary"] = summary;
return(outRecord);
});
log.LogInformation(JsonConvert.SerializeObject(response));
return(new OkObjectResult(response));
}
public static IActionResult RunGetFileExtension(
[HttpTrigger(AuthorizationLevel.Anonymous, "post", Route = null)] HttpRequest req,
ExecutionContext executionContext, ILogger log)
{
var config = new ConfigurationBuilder()
.SetBasePath(executionContext.FunctionAppDirectory)
.AddJsonFile("local.settings.json", optional: true, reloadOnChange: true)
.AddEnvironmentVariables()
.Build();
string skillName = executionContext.FunctionName;
log.LogInformation($"{skillName} Custom Skill: C# HTTP trigger function processed a request.");
var requestRecords = WebApiSkillHelpers.GetRequestRecords(req);
if (requestRecords == null)
{
return(new BadRequestObjectResult($"{skillName} - Invalid request record array."));
}
var response = WebApiSkillHelpers.ProcessRequestRecords(skillName, requestRecords,
(inRecord, outRecord) =>
{
try
{
var documentName = inRecord.Data["documentName"] as string;
var extension = "";
var fileName = "";
if (!string.IsNullOrWhiteSpace(documentName))
{
extension = Path.GetExtension(documentName);
fileName = Path.GetFileNameWithoutExtension(documentName);
}
outRecord.Data.Add("extension", extension);
outRecord.Data.Add("fileName", fileName);
}
catch (Exception e)
{
outRecord.Errors.Add(new WebApiErrorWarningContract {
Message = e.ToString()
});
}
return(outRecord);
});
return(new OkObjectResult(response));
}
public static async Task <IActionResult> RunStoreImage(
[HttpTrigger(AuthorizationLevel.Function, "post", Route = null)] HttpRequest req,
ILogger log,
ExecutionContext executionContext)
{
log.LogInformation("Image Store Custom Skill: C# HTTP trigger function processed a request.");
string skillName = executionContext.FunctionName;
IEnumerable <WebApiRequestRecord> requestRecords = WebApiSkillHelpers.GetRequestRecords(req);
if (requestRecords == null || requestRecords.Count() != 1)
{
return(new BadRequestObjectResult($"{skillName} - Invalid request record array: Skill requires exactly 1 image per request."));
}
string blobStorageConnectionString = Environment.GetEnvironmentVariable(blobStorageConnectionStringSetting, EnvironmentVariableTarget.Process);
string blobContainerName = String.IsNullOrEmpty(req.Headers[blobContainerHeaderName])
? Environment.GetEnvironmentVariable(blobStorageContainerNameSetting, EnvironmentVariableTarget.Process)
: (string)req.Headers[blobContainerHeaderName];
if (String.IsNullOrEmpty(blobStorageConnectionString) || String.IsNullOrEmpty(blobContainerName))
{
return(new BadRequestObjectResult($"{skillName} - Information for the blob storage account is missing"));
}
var imageStore = new BlobImageStore(blobStorageConnectionString, blobContainerName);
WebApiSkillResponse response = await WebApiSkillHelpers.ProcessRequestRecordsAsync(skillName, requestRecords,
async (inRecord, outRecord) => {
var imageData = inRecord.Data["imageData"] as string;
var imageName = inRecord.Data["imageName"] as string;
if (String.IsNullOrEmpty(imageName))
{
imageName = Guid.NewGuid().ToString();
}
var mimeType = inRecord.Data["mimeType"] as string;
if (String.IsNullOrEmpty(mimeType))
{
mimeType = "image/jpeg";
}
string imageUri = await imageStore.UploadToBlobAsync(imageData, imageName, mimeType);
outRecord.Data["imageStoreUri"] = imageUri;
return(outRecord);
});
return(new OkObjectResult(response));
}
public static IActionResult RunKewit(
[HttpTrigger(AuthorizationLevel.Function, "post", Route = null)] HttpRequest req,
ILogger log, ExecutionContext executionContext)
{
log.LogInformation("Projection: C# HTTP trigger function processed a request.");
string skillName = executionContext.FunctionName;
log.LogInformation($"REQUEST: {new StreamReader(req.Body).ReadToEnd()}");
req.Body.Position = 0;
IEnumerable <WebApiRequestRecord> requestRecords = WebApiSkillHelpers.GetRequestRecords(req);
if (requestRecords == null)
{
return(new BadRequestObjectResult($"{skillName} - Invalid request record array."));
}
WebApiSkillResponse response = WebApiSkillHelpers.ProcessRequestRecords(skillName, requestRecords,
(inRecord, outRecord) =>
{
string content = inRecord.Data["text"].ToString();
string regex = inRecord.Data["regex"].ToString();
if (regex == null)
{
regex = "^[A-Z]{2,5}$";
}
Regex rx = new Regex(regex);
MatchCollection matches = rx.Matches(content);
foreach (Match match in matches)
{
GroupCollection groups = match.Groups;
Console.WriteLine("'{0}' repeated at positions {1} and {2}",
groups["word"].Value,
groups[0].Index,
groups[1].Index);
}
var list = matches.Cast <Match>().Select(match => new { match.Value, match.Index }).ToList();
outRecord.Data["matches"] = list;
return(outRecord);
});
//log.LogInformation(JsonConvert.SerializeObject(response));
return(new OkObjectResult(response));
}
public static async Task <IActionResult> RunDistinct(
[HttpTrigger(AuthorizationLevel.Function, "post", Route = null)] HttpRequest req,
ILogger log,
ExecutionContext executionContext)
{
log.LogInformation("Distinct Custom Skill: C# HTTP trigger function processed a request.");
string skillName = executionContext.FunctionName;
IEnumerable <WebApiRequestRecord> requestRecords = WebApiSkillHelpers.GetRequestRecords(req);
if (requestRecords == null)
{
return(new BadRequestObjectResult($"{skillName} - Invalid request record array."));
}
Thesaurus thesaurus = null;
try
{
thesaurus = new Thesaurus(executionContext.FunctionAppDirectory);
}
catch (Exception e)
{
throw new Exception("Failed to read and parse thesaurus.json.", e);
}
WebApiSkillResponse response = WebApiSkillHelpers.ProcessRequestRecords(skillName, requestRecords,
(inRecord, outRecord) =>
{
JArray wordsParameter = inRecord.Data.TryGetValue("words", out object wordsParameterObject) ?
wordsParameterObject as JArray : null;
if (wordsParameter is null)
{
throw new ArgumentException("Input data is missing a `words` array of words to de-duplicate.", "words");
}
var words = wordsParameter.Values <string>();
outRecord.Data["distinct"] = thesaurus.Dedupe(words);
return(outRecord);
});
return(new OkObjectResult(response));
}
public static async Task <HttpResponseMessage> Run([HttpTrigger(AuthorizationLevel.Function, "post", Route = null)] HttpRequestMessage req, TraceWriter log, ExecutionContext executionContext)
{
try
{
log.Info("C# HTTP trigger function processed a request.");
string skillName = executionContext.FunctionName;
IEnumerable <WebApiRequestRecord> requestRecords = WebApiSkillHelpers.GetRequestRecords(req);
if (requestRecords == null)
{
return(req.CreateErrorResponse(HttpStatusCode.BadRequest, $"{skillName} - Invalid request record array."));
}
log.Info($"Content Moderator : {requestRecords.ToString()}");
dynamic obj = requestRecords.First().Data.First().Value;
log.Info($"Content Moderator : {obj.ToString()}");
string val = await MakeRequest(obj);
ContentModerator mod = JsonConvert.DeserializeObject <ContentModerator>(val);
WebApiResponseRecord output = new WebApiResponseRecord();
output.RecordId = requestRecords.First().RecordId;
if (mod.PII.Email.Length > 0)
{
output.Data["PII"] = mod.PII.Email.FirstOrDefault().Detected;
}
else
{
output.Data["PII"] = null;
}
WebApiSkillResponse resp = new WebApiSkillResponse();
resp.Values = new List <WebApiResponseRecord>();
resp.Values.Add(output);
return(req.CreateResponse(HttpStatusCode.OK, resp));
}
catch (System.Exception ex)
{
log.Info(ex.StackTrace);
}
return(null);
}
public static async Task <IActionResult> RunCustomEntityLookup(
[HttpTrigger(AuthorizationLevel.Function, "post", Route = null)] HttpRequest req,
ILogger log,
ExecutionContext executionContext)
{
log.LogInformation("Custom Entity Search function: C# HTTP trigger function processed a request.");
if (_impl == null || executionContext.FunctionName == "unitTestFunction")
{
_impl = new CustomEntityLookupImplementation(CustomEntitiesDefinition.ParseCustomEntityDefinition(EntityDefinitionLocation));
}
IEnumerable <WebApiRequestRecord> requestRecords = WebApiSkillHelpers.GetRequestRecords(req);
if (requestRecords == null)
{
return(new BadRequestObjectResult($"{executionContext.FunctionName} - Invalid request record array."));
}
WebApiSkillResponse response = WebApiSkillHelpers.ProcessRequestRecords(executionContext.FunctionName, requestRecords,
(inRecord, outRecord) =>
{
if (!inRecord.Data.ContainsKey("text") || inRecord.Data["text"] == null)
{
outRecord.Errors.Add(new WebApiErrorWarningContract {
Message = "Cannot process record without the given key 'text' with a string value"
});
return(outRecord);
}
string text = inRecord.Data["text"] as string;
var foundEntities = _impl.GetCustomLookupResult(text, System.Threading.CancellationToken.None);
outRecord.Data["entities"] = foundEntities;
return(outRecord);
});
return(new OkObjectResult(response));
}
public static async Task <IActionResult> RunGeoPointFromName(
[HttpTrigger(AuthorizationLevel.Function, "post", Route = null)] HttpRequest req,
ILogger log,
ExecutionContext executionContext)
{
log.LogInformation("Geo Point From Name Custom skill: C# HTTP trigger function processed a request.");
string skillName = executionContext.FunctionName;
IEnumerable <WebApiRequestRecord> requestRecords = WebApiSkillHelpers.GetRequestRecords(req);
if (requestRecords == null)
{
return(new BadRequestObjectResult($"{skillName} - Invalid request record array."));
}
string azureMapsKey = Environment.GetEnvironmentVariable(azureMapsKeySetting, EnvironmentVariableTarget.Process);
WebApiSkillResponse response = await WebApiSkillHelpers.ProcessRequestRecordsAsync(skillName, requestRecords,
async (inRecord, outRecord) => {
var address = inRecord.Data["address"] as string;
string uri = azureMapsUri
+ "?api-version=1.0&query=" + Uri.EscapeDataString(address)
+ "&subscription-key=" + Uri.EscapeDataString(azureMapsKey);
IEnumerable <Geography> geographies =
await WebApiSkillHelpers.FetchAsync <Geography>(uri, "results");
if (geographies.FirstOrDefault() is Geography mainGeoPoint)
{
outRecord.Data["mainGeoPoint"] = new {
Type = "Point",
Coordinates = new double[] { mainGeoPoint.Position.Lon, mainGeoPoint.Position.Lat }
};
}
outRecord.Data["results"] = geographies;
return(outRecord);
});
return(new OkObjectResult(response));
}
public static IActionResult RunTokenizer(
[HttpTrigger(AuthorizationLevel.Function, "post", Route = null)] HttpRequest req,
ILogger log,
ExecutionContext executionContext)
{
log.LogInformation("Tokenizer Custom Skill: C# HTTP trigger function processed a request.");
string skillName = executionContext.FunctionName;
IEnumerable <WebApiRequestRecord> requestRecords = WebApiSkillHelpers.GetRequestRecords(req);
if (requestRecords == null)
{
return(new BadRequestObjectResult($"{skillName} - Invalid request record array."));
}
WebApiSkillResponse response = WebApiSkillHelpers.ProcessRequestRecords(skillName, requestRecords,
(inRecord, outRecord) =>
{
var text = new TextData {
Text = inRecord.Data["text"] as string
};
StopWordsRemovingEstimator.Language language =
MapToMlNetLanguage(inRecord.Data.TryGetValue("languageCode", out object languageCode) ? languageCode as string : "en");
var mlContext = new MLContext();
IDataView emptyDataView = mlContext.Data.LoadFromEnumerable(new List <TextData>());
EstimatorChain <StopWordsRemovingTransformer> textPipeline = mlContext.Transforms.Text
.NormalizeText("Text", caseMode: TextNormalizingEstimator.CaseMode.Lower, keepDiacritics: true, keepPunctuations: false, keepNumbers: false)
.Append(mlContext.Transforms.Text.TokenizeIntoWords("Words", "Text", separators: new[] { ' ' }))
.Append(mlContext.Transforms.Text.RemoveDefaultStopWords("Words", language: language));
TransformerChain <StopWordsRemovingTransformer> textTransformer = textPipeline.Fit(emptyDataView);
PredictionEngine <TextData, TransformedTextData> predictionEngine = mlContext.Model.CreatePredictionEngine <TextData, TransformedTextData>(textTransformer);
outRecord.Data["words"] = predictionEngine.Predict(text).Words ?? Array.Empty <string>();
return(outRecord);
});
return(new OkObjectResult(response));
}
public static async Task <IActionResult> Run(
[HttpTrigger(AuthorizationLevel.Function, "post", Route = null)] HttpRequest req,
ILogger log,
ExecutionContext executionContext)
{
log.LogInformation("ABBYY OCR Custom Skill: C# HTTP trigger function processed a request.");
string skillName = executionContext.FunctionName;
IEnumerable <WebApiRequestRecord> requestRecords = WebApiSkillHelpers.GetRequestRecords(req);
if (requestRecords == null)
{
return(new BadRequestObjectResult($"{skillName} - Invalid request record array."));
}
// Create the response record
WebApiSkillResponse response = new WebApiSkillResponse();
using (var ocrClient = GetOcrClientWithRetryPolicy())
{
List <Task> TaskList = new List <Task>();
int idx = 0;
foreach (var record in requestRecords)
{
TaskList.Add(ProcessRecord(record, ocrClient, idx));
idx += 1;
}
Task.WaitAll(TaskList.ToArray());
// Apply all the records from the concurrent bag
foreach (var record in bag)
{
response.Values.Add(record);
}
}
return(new OkObjectResult(response));
}
public static async Task <IActionResult> RunJapaneseOCR(
[HttpTrigger(AuthorizationLevel.Function, "post", Route = null)] HttpRequest req,
ILogger log,
ExecutionContext executionContext)
{
log.LogInformation("JapaneseOCR remove spaces Custom Skill: C# HTTP trigger function processed a request.");
string skillName = executionContext.FunctionName;
IEnumerable <WebApiRequestRecord> requestRecords = WebApiSkillHelpers.GetRequestRecords(req);
if (requestRecords == null)
{
return(new BadRequestObjectResult($"{skillName} - Invalid request record array."));
}
WebApiSkillResponse response = WebApiSkillHelpers.ProcessRequestRecords(skillName, requestRecords,
(inRecord, outRecord) => {
var inputText = inRecord.Data["text"] as string;
outRecord.Data["ocrtext"] = "";
if (string.IsNullOrEmpty(inputText))
{
return(outRecord);
}
// 正規表現で全角文字+半白スペースの場合、半角スペースのみを除去
var newContent = Regex.Replace(inputText, @"([^\x01-\x7E])\x20", "$1");
// 全角文字+ハイフン+半角スペースの場合、ハイフンを全角長音に変換し半角スペースを除去
newContent = Regex.Replace(newContent, @"([^\x01-\x7E])-\x20?", "$1ー");
log.LogInformation($"newContent: {newContent}");
outRecord.Data["ocrtext"] = newContent;
return(outRecord);
});
return(new OkObjectResult(response));
}
public static async Task <IActionResult> RunHelloWorld(
[HttpTrigger(AuthorizationLevel.Function, "post", Route = null)] HttpRequest req,
ILogger log,
ExecutionContext executionContext)
{
log.LogInformation("Hello World Custom Skill: C# HTTP trigger function processed a request.");
string skillName = executionContext.FunctionName;
IEnumerable <WebApiRequestRecord> requestRecords = WebApiSkillHelpers.GetRequestRecords(req);
if (requestRecords == null)
{
return(new BadRequestObjectResult($"{skillName} - Invalid request record array."));
}
WebApiSkillResponse response = WebApiSkillHelpers.ProcessRequestRecords(skillName, requestRecords,
(inRecord, outRecord) => {
var name = inRecord.Data["name"] as string;
outRecord.Data["greeting"] = $"Hello, {name}";
return(outRecord);
});
return(new OkObjectResult(response));
}
public static async Task <IActionResult> RunAnalyzeForm(
[HttpTrigger(AuthorizationLevel.Function, "post", Route = null)] HttpRequest req,
ILogger log,
ExecutionContext executionContext)
{
log.LogInformation("Analyze Form Custom Skill: C# HTTP trigger function processed a request.");
string skillName = executionContext.FunctionName;
IEnumerable <WebApiRequestRecord> requestRecords = WebApiSkillHelpers.GetRequestRecords(req);
if (requestRecords == null)
{
return(new BadRequestObjectResult($"{skillName} - Invalid request record array."));
}
string formsRecognizerEndpointUrl = Environment.GetEnvironmentVariable(formsRecognizerApiEndpointSetting, EnvironmentVariableTarget.Process).TrimEnd('/');
string formsRecognizerApiKey = Environment.GetEnvironmentVariable(formsRecognizerApiKeySetting, EnvironmentVariableTarget.Process);
// string modelId = Environment.GetEnvironmentVariable(modelIdSetting, EnvironmentVariableTarget.Process);
int retryDelay = int.TryParse(Environment.GetEnvironmentVariable(retryDelaySetting, EnvironmentVariableTarget.Process), out int parsedRetryDelay) ? parsedRetryDelay : 1000;
int maxAttempts = int.TryParse(Environment.GetEnvironmentVariable(maxAttemptsSetting, EnvironmentVariableTarget.Process), out int parsedMaxAttempts) ? parsedMaxAttempts : 100;
Dictionary <string, string> fieldMappings = JsonConvert.DeserializeObject <Dictionary <string, string> >(
File.ReadAllText($"{executionContext.FunctionAppDirectory}\\field-mappings.json"));
WebApiSkillResponse response = await WebApiSkillHelpers.ProcessRequestRecordsAsync(skillName, requestRecords,
async (inRecord, outRecord) => {
var formUrl = inRecord.Data["formUrl"] as string;
var formSasToken = inRecord.Data["formSasToken"] as string;
string formUri = WebApiSkillHelpers.CombineSasTokenWithUri(formUrl, formSasToken);
// Create the job
string jobId = await GetJobId(formsRecognizerEndpointUrl, formUri, formsRecognizerApiKey);
// Get the results
for (int attempt = 0; attempt < maxAttempts; attempt++)
{
(string status, JToken result) = await GetJobStatus(jobId, formsRecognizerApiKey);
if (status == "failed")
{
var errors = result.SelectToken("analyzeResult.errors") as JArray;
outRecord.Errors.AddRange(errors.Children().Select(error => new WebApiErrorWarningContract
{
Message = error.SelectToken("message").ToObject <string>()
}));
return(outRecord);
}
if (status == "succeeded")
{
//List<Page> pages = result.SelectToken("analyzeResult.pageResults").ToObject<List<Page>>();
List <Page> pages = result.SelectToken("analyzeResult.readResults").ToObject <List <Page> >();
foreach (KeyValuePair <string, string> kvp in fieldMappings)
{
string value = GetField(pages, kvp.Key);
if (!string.IsNullOrWhiteSpace(value))
{
outRecord.Data[kvp.Value] = value;
}
}
return(outRecord);
}
await Task.Delay(retryDelay);
}
outRecord.Errors.Add(new WebApiErrorWarningContract
{
Message = $"The forms recognizer did not finish the job after {maxAttempts} attempts."
});
return(outRecord);
});
return(new OkObjectResult(response));
}
public static async Task <IActionResult> RunCustomEntitySearch(
[HttpTrigger(AuthorizationLevel.Function, "post", Route = null)] HttpRequest req,
ILogger log,
ExecutionContext executionContext)
{
if (preLoadedWords == null)
{
preLoadedWords = WordLinker.WordLink(executionContext.FunctionAppDirectory, "csv").Words;
}
log.LogInformation("Custom Entity Search function: C# HTTP trigger function processed a request.");
string skillName = executionContext.FunctionName;
IEnumerable <WebApiRequestRecord> requestRecords = WebApiSkillHelpers.GetRequestRecords(req);
if (requestRecords == null)
{
return(new BadRequestObjectResult($"{skillName} - Invalid request record array."));
}
WebApiSkillResponse response = WebApiSkillHelpers.ProcessRequestRecords(skillName, requestRecords,
(inRecord, outRecord) => {
if (!inRecord.Data.ContainsKey("text") || inRecord.Data["text"] == null)
{
outRecord.Errors.Add(new WebApiErrorWarningContract {
Message = "Cannot process record without the given key 'text' with a string value"
});
return(outRecord);
}
if (!inRecord.Data.ContainsKey("words") &&
(inRecord.Data.ContainsKey("synonyms") || inRecord.Data.ContainsKey("exactMatches") || inRecord.Data.ContainsKey("fuzzyMatchOffset")))
{
outRecord.Errors.Add(new WebApiErrorWarningContract
{
Message = "Cannot process record without the given key 'words' in the dictionary"
});
return(outRecord);
}
string text = inRecord.Data["text"] as string;
IList <string> words;
if (inRecord.Data.ContainsKey("words") == true)
{
words = inRecord.GetOrCreateList <List <string> >("words");
}
else
{
outRecord.Warnings.Add(new WebApiErrorWarningContract
{
Message = "Used predefined key words from customLookupSkill configuration file " +
"since no 'words' parameter was supplied in web request"
});
words = preLoadedWords;
}
Dictionary <string, string[]> synonyms = inRecord.GetOrCreateDictionary <Dictionary <string, string[]> >("synonyms");
IList <string> exactMatches = inRecord.GetOrCreateList <List <string> >("exactMatches");
int offset = (inRecord.Data.ContainsKey("fuzzyMatchOffset")) ? Math.Max(0, Convert.ToInt32(inRecord.Data["fuzzyMatchOffset"])) : 0;
bool caseSensitive = (inRecord.Data.ContainsKey("caseSensitive")) ? (bool)inRecord.Data.ContainsKey("caseSensitive") : false;
if (words.Count == 0 || (words.Count(word => !String.IsNullOrEmpty(word)) == 0))
{
try
{
WordLinker userInput = WordLinker.WordLink(executionContext.FunctionDirectory, "json");
words = userInput.Words;
synonyms = userInput.Synonyms;
exactMatches = userInput.ExactMatch;
offset = (userInput.FuzzyMatchOffset >= 0) ? userInput.FuzzyMatchOffset : 0;
caseSensitive = userInput.CaseSensitive;
outRecord.Warnings.Add(new WebApiErrorWarningContract
{
Message = "Used predefined key words from customLookupSkill configuration file " +
"since no 'words' parameter was supplied in web request"
});
}
catch (Exception)
{
outRecord.Errors.Add(new WebApiErrorWarningContract
{
Message = "Could not parse predefined words.json"
});
return(outRecord);
}
}
var entities = new List <Entity>();
var entitiesFound = new HashSet <string>();
if (!string.IsNullOrWhiteSpace(text))
{
foreach (string word in words)
{
if (string.IsNullOrEmpty(word))
{
continue;
}
int leniency = (exactMatches != null && exactMatches.Contains(word)) ? 0 : offset;
string wordCharArray = (caseSensitive) ? CreateWordArray(word) : CreateWordArray(word.ToLower(CultureInfo.CurrentCulture));
if (leniency >= wordCharArray.Length)
{
outRecord.Warnings.Add(new WebApiErrorWarningContract
{
Message = @"The provided fuzzy offset of " + leniency + @", is larger than the length of the provided word, """ + word + @"""."
});
leniency = Math.Max(0, wordCharArray.Length - 1);
}
AddValues(word, text, wordCharArray, entities, entitiesFound, leniency, caseSensitive);
if (synonyms.TryGetValue(word, out string[] wordSynonyms))
{
foreach (string synonym in wordSynonyms)
{
leniency = (exactMatches != null && exactMatches.Contains(synonym)) ? 0 : offset;
string synonymCharArray = (caseSensitive) ? CreateWordArray(synonym) : CreateWordArray(synonym.ToLower(CultureInfo.CurrentCulture));
if (leniency >= synonym.Length)
{
outRecord.Warnings.Add(new WebApiErrorWarningContract
{
Message = @"The provided fuzzy offset of " + leniency + @", is larger than the length of the provided synonym, """ + synonym + @"""."
});
leniency = Math.Max(0, synonymCharArray.Length - 1);
}
AddValues(synonym, text, synonymCharArray, entities, entitiesFound, leniency, caseSensitive);
}
}
}
public static async Task <IActionResult> RunSplitImageSkill(
[HttpTrigger(AuthorizationLevel.Function, "post", Route = null)] HttpRequest req,
ILogger log,
ExecutionContext executionContext)
{
log.LogInformation("Split Image Custom Skill: C# HTTP trigger function processed a request.");
string skillName = executionContext.FunctionName;
IEnumerable <WebApiRequestRecord> requestRecords = WebApiSkillHelpers.GetRequestRecords(req);
if (requestRecords == null)
{
return(new BadRequestObjectResult($"{skillName} - Invalid request record array."));
}
WebApiSkillResponse response = WebApiSkillHelpers.ProcessRequestRecords(skillName, requestRecords,
(inRecord, outRecord) => {
var imageUrl = (inRecord.Data.TryGetValue("imageLocation", out object imageUrlObject) ? imageUrlObject : null) as string;
var sasToken = (inRecord.Data.TryGetValue("imageLocation", out object sasTokenObject) ? sasTokenObject : null) as string;
if (string.IsNullOrWhiteSpace(imageUrl))
{
outRecord.Errors.Add(new WebApiErrorWarningContract()
{
Message = "Parameter 'imageUrl' is required to be present and a valid uri."
});
return(outRecord);
}
JArray splitImages = new JArray();
using (WebClient client = new WebClient())
{
byte[] fileData = executionContext.FunctionName == "unitTestFunction"
? fileData = File.ReadAllBytes(imageUrl) // this is a unit test, find the file locally
: fileData = client.DownloadData(new Uri(CombineSasTokenWithUri(imageUrl, sasToken))); // download the file from remote server
using (var stream = new MemoryStream(fileData))
{
var originalImage = Image.Load(stream);
// chunk the document up into pieces
// overlap the chunks to reduce the chances of cutting words in half
// (and not being able to OCR that data)
for (int x = 0; x < originalImage.Width; x += (MaxImageDimension - ImageOverlapInPixels))
{
for (int y = 0; y < originalImage.Height; y += (MaxImageDimension - ImageOverlapInPixels))
{
int startX = x;
int endX = x + MaxImageDimension >= originalImage.Width
? originalImage.Width
: x + MaxImageDimension;
int startY = y;
int endY = y + MaxImageDimension >= originalImage.Height
? originalImage.Height
: y + MaxImageDimension;
var newImageData = CropImage(originalImage, startX, endX, startY, endY);
var imageData = new JObject();
imageData["$type"] = "file";
imageData["data"] = System.Convert.ToBase64String(newImageData);
imageData["width"] = endX - startX;
imageData["height"] = endY - startY;
splitImages.Add(imageData);
}
}
}
}
outRecord.Data["splitImages"] = splitImages;
return(outRecord);
});
public static async Task <HttpResponseMessage> Run([HttpTrigger(AuthorizationLevel.Function, "post", Route = null)] HttpRequestMessage req, TraceWriter log, ILogger logger, ExecutionContext executionContext)
{
string skillName = executionContext.FunctionName;
IEnumerable <WebApiRequestRecord> requestRecords = WebApiSkillHelpers.GetRequestRecords(req);
if (requestRecords == null)
{
return(req.CreateErrorResponse(HttpStatusCode.BadRequest, $"{skillName} - Invalid request record array."));
}
WebApiSkillResponse resp = new WebApiSkillResponse();
resp.Values = new List <WebApiResponseRecord>();
foreach (WebApiRequestRecord reqRec in requestRecords)
{
double lat = Convert.ToDouble(reqRec.Data["latitude"]);
double lng = Convert.ToDouble(reqRec.Data["longitude"]);
double review = Convert.ToDouble(reqRec.Data["reviews_rating"]);
string language = (string)reqRec.Data["language"];
WebApiResponseRecord output = new WebApiResponseRecord();
try
{
if (review > 5)
{
review = review / 2;
}
Address addr = await reverseGeocode(lat, lng, logger);
if (addr != null)
{
output.Data["state"] = addr.adminDistrict;
output.Data["country"] = addr.countryRegion;
}
else
{
output.Data["state"] = "UNKNOWN";
output.Data["country"] = "UNKNOWN";
}
output.RecordId = reqRec.RecordId;
output.Data["reviews_rating"] = review;
resp.Values.Add(output);
}
catch (System.Exception ex)
{
log.Info($"EXCEPTION !!!! {ex.Message}");
log.Info(ex.StackTrace);
output.RecordId = reqRec.RecordId;
//output.Errors = new List<WebApiErrorWarningContract>();
//output.Errors.Add(new WebApiErrorWarningContract() { Message = ex.Message });
output.Data["state"] = "UNKNOWN";
output.Data["country"] = "UNKNOWN";
output.Data["reviews_rating"] = review;
resp.Values.Add(output);
return(req.CreateResponse(HttpStatusCode.OK, resp));
}
}
log.Info($"Successful Run returning {resp.Values.Count} records");
return(req.CreateResponse(HttpStatusCode.OK, resp));
}
public static async Task <HttpResponseMessage> Run([HttpTrigger(AuthorizationLevel.Function, "post", Route = null)] HttpRequestMessage req, TraceWriter log, ILogger logger, ExecutionContext executionContext)
{
WebApiResponseRecord output = new WebApiResponseRecord();
string skillName = executionContext.FunctionName;
IEnumerable <WebApiRequestRecord> requestRecords = WebApiSkillHelpers.GetRequestRecords(req);
if (requestRecords == null)
{
return(req.CreateErrorResponse(HttpStatusCode.BadRequest, $"{skillName} - Invalid request record array."));
}
try
{
List <string> customer = new List <string>();
logger.LogInformation("Hello World");
Conversation conversation = new Conversation();
string content = (string)requestRecords.First().Data["content"];
conversation.Turns = new List <Turn>();
string[] lines = content.Split(new char[] { '\n' });
int i = 0;
foreach (string line in lines)
{
if (i == 0)
{
i++;
continue;
}
string[] regexed = SplitCSV(line);
//string[] cols = line.Split(new char[] { ',' });
if (regexed.Length < 3)
{
continue;
}
conversation.Turns.Add(new Turn(regexed[2], regexed[1], Convert.ToInt32(regexed[0])));
if (regexed[1] == "customer")
{
customer.Add(regexed[2]);
}
i++;
}
conversation.Count = conversation.Turns.Count;
output.RecordId = requestRecords.First().RecordId;
output.Data["conversation"] = conversation;
output.Data["customer"] = customer;
WebApiSkillResponse resp = new WebApiSkillResponse();
resp.Values = new List <WebApiResponseRecord>();
resp.Values.Add(output);
log.Info($"Successful Run ");
return(req.CreateResponse(HttpStatusCode.OK, resp));
}
catch (Exception ex)
{
log.Info($"Error: {ex.Message}");
log.Info(ex.StackTrace);
output.RecordId = requestRecords.First().RecordId;
output.Errors = new List <WebApiErrorWarningContract>();
output.Errors.Add(new WebApiErrorWarningContract()
{
Message = ex.Message
});
WebApiSkillResponse resp = new WebApiSkillResponse();
resp.Values = new List <WebApiResponseRecord>();
resp.Values.Add(output);
return(req.CreateResponse(HttpStatusCode.OK, resp));
}
}
