Initial commit

app/models/audio_analysis.rb

@@ -0,0 +1,72 @@
+class AudioAnalysis
+  def initialize(video)
+    @video = video
+  end
+
+  # Use the custom hash to generate JSON format
+  def as_json(*)
+    to_hash
+  end
+
+  def to_hash
+    {
+      edl_bucket_name: aws_bucket_name,
+      edl_object_name: video.audio_only_edl_file.key,
+      acquired_audio: acquired_audio_list,
+      original_music: original_music_list,
+    }
+  end
+
+  def results
+    response.results
+  end
+
+  private
+
+  attr_reader :video
+
+  def aws_bucket_name
+    ENV["AWS_BUCKET"]
+  end
+
+  def acquired_audio_list
+    video.project.acquired_media_releases.flat_map do |acquired_media_release|
+      acquired_media_release.file_infos.audio.map do |file_info|
+        { id: file_info.id, filename: file_info.filename }
+      end
+    end
+  end
+
+  def original_music_list
+    video.project.music_releases.flat_map do |music_release|
+      music_release.file_infos.map do |file_info|
+        { id: file_info.id, filename: file_info.filename, composers: music_release.composer_info, publishers: music_release.publisher_info }
+      end
+    end
+  end
+
+  def analysis_uid
+    video.audio_analysis_uid
+  end
+
+  def fps
+    edl_event_gateway.fps
+  end
+
+  def edl_offset_seconds
+    edl_event_gateway.edl_offset_seconds
+  end
+
+  def edl_event_gateway
+    # TODO: Eventually cache this on the video itself to avoid an extra API call, but for now keep it simple
+    @edl_event_gateway ||= begin
+                             files_for_request = AudioFilesForRequest.new(video, video.edl_timecode_start)
+                             EdlEventGateway.new(files_for_request, "00:00:00:00", "00:00:00:00")
+                           end
+  end
+
+  def response
+    @response ||= BrayniacAI::AudioRecognition.find(analysis_uid, 
+                                                    params: { fps: fps, edl_offset_seconds: edl_offset_seconds })
+  end
+end