Ejemplo n.º 1
0
        public async Task <SmartCaption> Enrich(InstaMedia message)
        {
            logger.LogInformation("Generating caption...");
            SmartCaption captionHolder = captionHandler.Extract(message.Caption?.Text);

            logger.LogInformation("Found [{0}] tags in original caption", captionHolder.TotalTags);

            if (captionHolder.TotalTags > 20)
            {
                logger.LogInformation("Found more than 20 tags on photo - ignoring it");
                return(captionHolder);
            }

            var original     = captionHolder.Tags.ToArray();
            var locationTags = await tagsByLocation.Get(message.Location).ConfigureAwait(false);

            foreach (var tag in locationTags.OrderByDescending(item => item.MediaCount).Take(totalLocationTags))
            {
                if (captionHolder.TotalTags >= totalTags)
                {
                    return(captionHolder);
                }

                captionHolder.AddTag(tag);
            }

            var results = await GetMix(original, totalTags - locationTags.Length).ConfigureAwait(false);

            foreach (var data in results)
            {
                captionHolder.AddTag(data);
            }

            return(captionHolder);
        }
        public void GenerateExpectedBehavior()
        {
            var instance = new SmartCaption("Message Conto #love", new[] { HashTagData.FromTag("#love") });

            instance.AddTag(HashTagData.FromText("Love"));
            Assert.AreEqual("Message Conto #love", instance.Generate());
            instance.AddTag(HashTagData.FromText("Lovex"));
            Assert.AreEqual("Message Conto #love #lovex", instance.Generate());
        }
        public async Task <HashTagData[]> Get(SmartCaption caption)
        {
            log.LogDebug("Finding similar posts - [{0}]", caption.Original);
            var tags = caption.Tags.ToString();

            if (tags.Length < 3)
            {
                return(new HashTagData[] {});
            }

            foreach (var tag in caption.Tags)
            {
                var topMedia = await instagram.Resilience.WebPolicy
                               .ExecuteAsync(
                    () => ResultExtension.UnWrap(() => instagram.HashtagProcessor.GetTopHashtagMediaListAsync(tag.Text, PaginationParameters.MaxPagesToLoad(1)), log))
                               .ConfigureAwait(false);

                foreach (var media in topMedia.Medias)
                {
                    var text = media.Caption?.Text;
                    if (string.IsNullOrEmpty(text))
                    {
                        continue;
                    }

                    var smart = captionHandler.Extract(text);
                    var bag   = BagOfWords.Create(smart.Tags.Select(item => item.Tag).ToArray());
                    similarity.Register(bag);
                }
            }

            var result = similarity.FindSimilar(BagOfWords.Create(caption.Tags.Select(item => item.Tag).ToArray()));

            return(result.SelectMany(
                       item => item.Document.Words.Select(
                           x =>
            {
                var tag = HashTagData.FromTag(x.Text);
                tag.Relevance = (int)(100 * item.Similarity);
                return tag;
            }))
                   .ToArray());
        }