public static async Task Run([QueueTrigger(Constants.VideosToDownloadQueueName, Connection = "AzureWebJobsStorage")] string myQueueItem, TraceWriter log)
{
Startup.Init();
log.Info($"C# Queue trigger function processed: {myQueueItem}");
VideosToDownload videosToDownload = JsonConvert.DeserializeObject <VideosToDownload>(myQueueItem);
BlobAdapter blobAdapter = new BlobAdapter();
blobAdapter.Init();
VideoIndexTableAdapter videoIndexTableAdapter = new VideoIndexTableAdapter();
videoIndexTableAdapter.Init();
PostsTableAdapter postsTableAdapter = new PostsTableAdapter();
postsTableAdapter.Init(log);
ReversePostsTableAdapter reversePostsTableAdapter = new ReversePostsTableAdapter();
reversePostsTableAdapter.Init(log);
string sourceBlog = string.IsNullOrEmpty(videosToDownload.SourceBlog)
? videosToDownload.IndexInfo.BlogName
: videosToDownload.SourceBlog;
sourceBlog = SanityHelper.SanitizeSourceBlog(sourceBlog);
using (HttpClient httpClient = new HttpClient())
{
httpClient.DefaultRequestHeaders.Accept.Add(new MediaTypeWithQualityHeaderValue("video/*"));
httpClient.DefaultRequestHeaders.Accept.Add(new MediaTypeWithQualityHeaderValue("image/*"));
List <Video> videos = new List <Video>();
string blogname = videosToDownload.IndexInfo.BlogName;
string id = videosToDownload.IndexInfo.PostId;
DateTime date = videosToDownload.IndexInfo.PostDate;
foreach (VideoUrls videoUrls in videosToDownload.VideoUrls)
{
try
{
Video blobVideo = await blobAdapter.HandleVideo(videoUrls, videosToDownload.IndexInfo.BlogName, log);
videos.Add(blobVideo);
videoIndexTableAdapter.InsertVideoIndex(blogname, id, date, blobVideo, videosToDownload.VideoType, blobVideo.Bytes, videosToDownload.Duration);
log.Info("Video successfully downloaded: " + videoUrls.VideoUrl);
}
catch (HttpRequestException ex)
{
log.Warning("HTTP Error while downloading video " + videoUrls.VideoUrl + " - " + ex.Message);
postsTableAdapter.MarkWithVideoDownloadError(blogname, id, ex.Message);
}
catch (Exception ex)
{
log.Error("Error while downloading video ", ex);
throw;
}
}
if (videos.Count > 0)
{
postsTableAdapter.MarkVideosAsDownloaded(videosToDownload.IndexInfo.BlogName, videosToDownload.IndexInfo.PostId, videos.ToArray());
ReversePostEntity reversePost = new ReversePostEntity(blogname, id, videosToDownload.PostType, date, videosToDownload.Body, videosToDownload.Title)
{
Videos = JsonConvert.SerializeObject(videos)
};
reversePostsTableAdapter.InsertPost(reversePost);
}
}
}
public static async Task Run([TimerTrigger("0 25 * * * *")] TimerInfo myTimer, TraceWriter log)
{
Startup.Init();
log.Info($"C# Timer trigger function executed at: {DateTime.Now}");
BlogToFetchQueueAdapter blogToFetchQueueAdapter = new BlogToFetchQueueAdapter();
blogToFetchQueueAdapter.Init();
BlogInfoTableAdapter blogInfoTableAdapter = new BlogInfoTableAdapter();
blogInfoTableAdapter.Init();
PostsGetter postsGetter = new PostsGetter();
Stopwatch stopwatch = Stopwatch.StartNew();
bool success; // basically means that can the message be deleted, or if it needs to be left in queue to be resumed later
do
{
//TODO: error handling, if there is error from e.g. postsGetter
CloudQueueMessage message = await blogToFetchQueueAdapter.GetNextMessage();
if (message == null)
{
return;
}
BlogToFetch blogToFetch = JsonConvert.DeserializeObject <BlogToFetch>(message.AsString);
BlogEntity blogEntity = await blogInfoTableAdapter.GetBlog(blogToFetch.Blogname);
long timeoutLeft = 270 - stopwatch.ElapsedMilliseconds / 1000;
if (timeoutLeft < 10)
{
return;
}
success = false;
GetPostsResult result = null;
if (blogToFetch.NewerThan.HasValue)
{
result = await postsGetter.GetNewerPosts(log, blogToFetch.Blogname, blogToFetch.NewerThan.Value, timeoutLeft);
if (result.Success)
{
success = true;
}
}
int offset = 0;
if (blogEntity?.FetchedUntilOffset != null && !blogToFetch.UpdateNpf)
{
offset = blogEntity.FetchedUntilOffset.Value;
}
if (result != null)
{
offset += (int)result.TotalReceived;
}
if (blogEntity != null && (!blogEntity.FetchedUntilOffset.HasValue || blogEntity.FetchedUntilOffset.Value < Constants.MaxPostsToFetch))
{
result = await postsGetter.GetPosts(log, blogToFetch.Blogname, offset, timeoutSeconds : timeoutLeft, updateNpf : blogToFetch.UpdateNpf);
if (result.Success)
{
success = true;
}
}
else
{
success = true; // enough fetched already, message can be deleted
}
if (success)
{
await blogToFetchQueueAdapter.DeleteMessage(message);
}
} while (success);
}
public static async Task <HttpResponseMessage> Run([HttpTrigger(AuthorizationLevel.Function, "get", "post", Route = "getblogsfromlikes/{blogname}")] HttpRequestMessage req,
string blogname, TraceWriter log)
{
Startup.Init();
LikeIndexTableAdapter likeIndexTableAdapter = new LikeIndexTableAdapter();
likeIndexTableAdapter.Init();
BlogInfoTableAdapter blogInfoTableAdapter = new BlogInfoTableAdapter();
blogInfoTableAdapter.Init();
PostsTableAdapter postsTableAdapter = new PostsTableAdapter();
postsTableAdapter.Init(log);
BlogToFetchQueueAdapter blogToFetchQueueAdapter = new BlogToFetchQueueAdapter();
blogToFetchQueueAdapter.Init();
List <LikeIndexEntity> entities = likeIndexTableAdapter.GetAll(blogname);
ILookup <string, LikeIndexEntity> likesByBlog = entities.ToLookup(e => e.LikedBlogName);
List <BlogStatsRow> stats = likesByBlog.Select(gr => new BlogStatsRow {
Blogname = gr.Key, LikedPostCount = gr.Count()
}).OrderByDescending(x => x.LikedPostCount).ToList();
string apiKey = ConfigurationManager.AppSettings["TumblrApiKey"];
List <BlogStatsRow> toDownload = new List <BlogStatsRow>();
using (HttpClient httpClient = new HttpClient())
{
foreach (BlogStatsRow blogStatsRow in stats)
{
if (blogStatsRow.LikedPostCount < 10)
{
continue;
}
string url = "https://api.tumblr.com/v2/blog/" + blogStatsRow.Blogname + "/info?api_key=" + apiKey;
//log.Info("Making request to: " + url);
HttpResponseMessage response = await httpClient.GetAsync(url);
if (response.IsSuccessStatusCode)
{
TumblrResponse <BlogInfo> tumblrResponse = await response.Content.ReadAsAsync <TumblrResponse <BlogInfo> >();
Blog blog = tumblrResponse.Response.Blog;
BlogEntity blogEntity = await blogInfoTableAdapter.GetBlog(blogStatsRow.Blogname);
blogStatsRow.HadPostCount = postsTableAdapter.GetPostCount(blogStatsRow.Blogname);
blogStatsRow.TotalPostCount = blog.Posts;
long difference = blog.Posts - blogStatsRow.HadPostCount;
bool fetch = false;
long?newerThan = null;
if (blogEntity != null && blogEntity.Updated < blog.Updated)
{
log.Info("Blog " + blogStatsRow.Blogname + " to be downloaded, has new posts");
fetch = true;
newerThan = blogEntity.Updated;
}
else if (blogStatsRow.HadPostCount > Constants.MaxPostsToFetch)
{
log.Info("Already fetched " + blogStatsRow.HadPostCount + " posts from blog " + blogStatsRow.Blogname);
}
else if (difference > 5)
{
log.Info("Blog " + blogStatsRow.Blogname + " to be downloaded, missing " + difference + " posts");
fetch = true;
}
else
{
log.Info("Blog " + blogStatsRow.Blogname + " already downloaded (difference " + difference + ")");
}
if (fetch)
{
blogToFetchQueueAdapter.SendBlogToFetch(new BlogToFetch
{
Blogname = blog.Name,
TotalPostCount = blog.Posts,
NewerThan = newerThan
});
toDownload.Add(blogStatsRow);
}
blogEntity = new BlogEntity(blog);
blogInfoTableAdapter.InsertBlog(blogEntity);
}
}
}
return(req.CreateResponse(HttpStatusCode.OK, "Got " + toDownload.Count + " blogs to fetch"));
}
public static async Task Run([HttpTrigger(AuthorizationLevel.Function, "get", "post", Route = "processimage")]
HttpRequestMessage req, TraceWriter log)
{
Startup.Init();
ImageAnalysisTableAdapter imageAnalysisTableAdapter = new ImageAnalysisTableAdapter();
imageAnalysisTableAdapter.Init();
const string imageUrl = "https://tumblrpics.blob.core.windows.net/orig-66/c48440825ac6eab1af6c4de39bbc59d6_ph8zkhbeVA1tf8706_1280.jpg";
using (HttpClient httpClient = new HttpClient())
{
Stopwatch stopwatch = Stopwatch.StartNew();
string apiKey = ConfigurationManager.AppSettings["GoogleApiKey"];
string url = "https://vision.googleapis.com/v1/images:annotate?key=" + apiKey;
VisionApiRequest request = VisionApiRequest.CreateFromImageUris(imageUrl);
string requestJson = JsonConvert.SerializeObject(request, JsonUtils.GoogleSerializerSettings);
StringContent stringContent = new StringContent(requestJson, Encoding.UTF8, "application/json");
HttpResponseMessage response = await httpClient.PostAsync(url, stringContent);
HttpContent responseContent = response.Content;
string googleVisionResponseString = await responseContent.ReadAsStringAsync();
VisionApiResponse visionApiResponse =
JsonConvert.DeserializeObject <VisionApiResponse>(googleVisionResponseString, JsonUtils.GoogleSerializerSettings);
string faceApiKey = ConfigurationManager.AppSettings["FaceApiKey"];
httpClient.DefaultRequestHeaders.Add("Ocp-Apim-Subscription-Key", faceApiKey);
stringContent = new StringContent($"{{\"url\":\"{imageUrl}\"}}", Encoding.UTF8, "application/json");
response = await httpClient.PostAsync(
"https://northeurope.api.cognitive.microsoft.com/face/v1.0/detect?returnFaceId=true&returnFaceLandmarks=false&returnFaceAttributes=" +
"age,gender,headPose,smile,facialHair,glasses,emotion,hair,makeup,occlusion,accessories,blur,exposure,noise",
stringContent);
responseContent = response.Content;
string msDetectResponseString = await responseContent.ReadAsStringAsync();
List <Face> msFaces = JsonConvert.DeserializeObject <List <Face> >(msDetectResponseString);
string visionApiKey = ConfigurationManager.AppSettings["ComputerVisionApiKey"];
httpClient.DefaultRequestHeaders.Remove("Ocp-Apim-Subscription-Key");
httpClient.DefaultRequestHeaders.Add("Ocp-Apim-Subscription-Key", visionApiKey);
stringContent = new StringContent($"{{\"url\":\"{imageUrl}\"}}", Encoding.UTF8, "application/json");
response = await httpClient.PostAsync(
"https://northeurope.api.cognitive.microsoft.com/vision/v2.0/analyze?visualFeatures=Description,ImageType,Adult,Categories,Tags,Objects,Color&language=en",
stringContent);
responseContent = response.Content;
string msAnalyzeResponseString = await responseContent.ReadAsStringAsync();
Analysis msAnalysis = JsonConvert.DeserializeObject <Analysis>(msAnalyzeResponseString);
if (visionApiResponse.Responses.Count == 1 && msFaces.Count > 0 && msAnalysis != null)
{
ImageAnalysis canonicalImageAnalysis = new ImageAnalysis(visionApiResponse.Responses[0], msAnalysis, msFaces);
}
}
}
public static async Task<HttpResponseMessage> Run([HttpTrigger(AuthorizationLevel.Function, "get", "post", Route = "getlikes/{blogname}")]
HttpRequestMessage req, string blogname, TraceWriter log)
{
Startup.Init();
blogname = blogname.ToLower().Replace(".tumblr.com", "");
PostsToProcessQueueAdapter postsToProcessQueueAdapter = new PostsToProcessQueueAdapter();
postsToProcessQueueAdapter.Init(log);
LikeIndexTableAdapter likeIndexTableAdapter = new LikeIndexTableAdapter();
likeIndexTableAdapter.Init();
long newestLikedTimestamp = likeIndexTableAdapter.GetNewestLikedTimestamp(blogname);
if (newestLikedTimestamp > 0)
{
log.Info($"Getting likes newer than timestamp {newestLikedTimestamp}");
}
Likes likes = null;
long totalCount = 0;
using (HttpClient httpClient = new HttpClient())
{
DateTime beforeTime = DateTime.UtcNow;
do
{
string apiKey = ConfigurationManager.AppSettings["TumblrApiKey"];
string url;
if (likes == null)
{
long timestamp = FunctionUtilities.GetUnixTime(beforeTime);
url = "https://api.tumblr.com/v2/blog/" + blogname + "/likes?before=" + timestamp + "&api_key=" + apiKey;
}
else
{
url = "https://api.tumblr.com" + likes._links.Next.Href + "&api_key=" + apiKey;
}
log.Info("Making request to: " + url);
HttpResponseMessage response = await httpClient.GetAsync(url);
if (response.IsSuccessStatusCode)
{
TumblrResponse<Likes> tumblrResponse = await response.Content.ReadAsAsync<TumblrResponse<Likes>>();
likes = tumblrResponse.Response;
if (newestLikedTimestamp > 0)
{
List<Post> newerPosts = likes.Liked_posts.Where(x => x.Liked_Timestamp > newestLikedTimestamp).ToList();
if (newerPosts.Count < likes.Liked_posts.Count)
{
log.Info($"Reached Liked_Timestamp of {newestLikedTimestamp} which has already been fetched, finishing");
postsToProcessQueueAdapter.SendPostsToProcess(newerPosts, blogname);
totalCount += newerPosts.Count;
break;
}
}
totalCount += likes.Liked_posts.Count;
postsToProcessQueueAdapter.SendPostsToProcess(likes.Liked_posts, blogname);
}
else
{
log.Info("Got response: " + response.ReasonPhrase + " " + response.StatusCode);
break;
}
} while (likes._links != null && likes._links.Next != null && !string.IsNullOrEmpty(likes._links.Next.Href));
}
log.Info("C# HTTP trigger function processed a request.");
// Fetching the name from the path parameter in the request URL
return req.CreateResponse(HttpStatusCode.OK, "Got " + totalCount + " posts");
}
public static async Task Run([TimerTrigger("0 15 * * * *")] TimerInfo myTimer, TraceWriter log)
{
Startup.Init();
PhotoToAnalyzeQueueAdapter photoToAnalyzeQueueAdapter = new PhotoToAnalyzeQueueAdapter();
photoToAnalyzeQueueAdapter.Init();
CloudQueueMessage message = null;
PhotoToAnalyze photoToAnalyze = null;
try
{
ImageAnalysisTableAdapter imageAnalysisTableAdapter = new ImageAnalysisTableAdapter();
imageAnalysisTableAdapter.Init();
BlogInfoTableAdapter blogInfoTableAdapter = new BlogInfoTableAdapter();
blogInfoTableAdapter.Init();
int processedCount = 0;
do
{
message = await photoToAnalyzeQueueAdapter.GetNextMessage();
if (message == null)
{
return;
}
photoToAnalyze = JsonConvert.DeserializeObject <PhotoToAnalyze>(message.AsString);
if (imageAnalysisTableAdapter.GetImageAnalysis(photoToAnalyze.Url) != null)
{
log.Info($"Image {photoToAnalyze.Url} already analyzed, aborting");
await UpdateBlogInfo(photoToAnalyze, blogInfoTableAdapter);
continue;
}
string failure = await ImageAnalyzer.AnalyzePhoto(log, photoToAnalyze, imageAnalysisTableAdapter);
if (string.IsNullOrEmpty(failure))
{
await UpdateBlogInfo(photoToAnalyze, blogInfoTableAdapter);
}
else
{
photoToAnalyze.Error = failure;
await photoToAnalyzeQueueAdapter.SendToPoisonQueue(photoToAnalyze);
log.Info($"Message for {photoToAnalyze.Url} stored to poison queue");
}
processedCount++;
await photoToAnalyzeQueueAdapter.DeleteMessage(message);
} while (processedCount < 10);
}
catch (Exception ex)
{
log.Error("Error in ProcessPhotosToAnalyze: " + ex.Message, ex);
if (message != null && photoToAnalyze != null)
{
photoToAnalyze.Error = ex.Message;
photoToAnalyze.StackTrace = ex.StackTrace.Substring(0, Math.Max(36000, ex.StackTrace.Length));
await photoToAnalyzeQueueAdapter.SendToPoisonQueue(photoToAnalyze);
log.Info($"Message for {photoToAnalyze.Url} stored to poison queue");
await photoToAnalyzeQueueAdapter.DeleteMessage(message);
log.Info($"Failed message deleted successfully from main queue");
message = null;
}
}
}