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Senad Uka
265
spec/models/edl_event_gateway_spec.rb
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265
spec/models/edl_event_gateway_spec.rb
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require "rails_helper"
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RSpec.describe EdlEventGateway do
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let(:files_for_request) do
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instance_double(FilesForRequest,
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file_object_name: "file_object_name",
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edl_file_object_name: "edl_file_object_name",
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aws_bucket_name: "aws_bucket_name",
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start_timecode_offset: nil,
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job_id: "video_analysis_uid",
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)
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end
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describe "#edl_events" do
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it "filters edl events by channel_filter" do
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video_event = BrayniacAI::EdlParseResult.new({
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"channel" => "V",
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"start_time" => 0,
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"timecode_in" => "00:00:00:00",
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"timecode_out" => "00:00:01:00",
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"duration" => 1,
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"source_file_name" => "my_file.mp4",
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"clip_name" => "my_clip.mp4",
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"description" => "This is a great clip",
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"matches" => [1, 2],
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})
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audio_event = BrayniacAI::EdlParseResult.new({
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"channel" => "A1",
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"start_time" => 0,
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"timecode_in" => "00:00:00:00",
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"timecode_out" => "00:00:01:00",
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"duration" => 1,
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"source_file_name" => "my_file.mp3",
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"clip_name" => "my_clip.mp3",
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"description" => "This is a great clip",
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"matches" => [1, 2],
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})
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allow(BrayniacAI::EdlParse).to receive(:create).and_return(
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BrayniacAI::EdlParse.new({ results: [video_event, audio_event] })
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)
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edl_events = EdlEventGateway.new(
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files_for_request,
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"00:00:02:00",
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"00:00:02:00",
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channel_filter: "A",
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).edl_events
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expect(edl_events.size).to eq(1)
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expect(edl_events).to include(EdlEvent.new({
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"channel" => "A1",
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"start_time" => 0,
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"timecode_in" => "00:00:00:00",
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"timecode_out" => "00:00:01:00",
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"duration" => 1,
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"source_file_name" => "my_file.mp3",
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"clip_name" => "my_clip.mp3",
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"description" => "This is a great clip",
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"matches" => [1, 2],
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}))
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end
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describe "calling the API" do
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it "includes location information about the video file and EDL file" do
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allow(ENV).to receive(:[]).with("AWS_BUCKET").and_return("test-bucket")
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allow(BrayniacAI::EdlParse).to receive(:create)
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EdlEventGateway.new(
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files_for_request,
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"00:00:02:00",
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"00:00:02:00",
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).edl_events
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expect(BrayniacAI::EdlParse).to have_received(:create).with(
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job_id: "video_analysis_uid",
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video_bucket_name: "aws_bucket_name",
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video_object_name: "file_object_name",
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edl_bucket_name: "aws_bucket_name",
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edl_object_name: "edl_file_object_name",
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timecode_start: "00:00:02:00",
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timecode_end: "00:00:02:00",
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collection: {},
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)
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end
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it "includes collection when provided" do
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allow(ENV).to receive(:[]).with("AWS_BUCKET").and_return("test-bucket")
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allow(BrayniacAI::EdlParse).to receive(:create)
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EdlEventGateway.new(
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files_for_request,
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"00:00:02:00",
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"00:00:02:00",
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collection: { 1 => "source file name" },
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).edl_events
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expect(BrayniacAI::EdlParse).to have_received(:create).with(
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job_id: "video_analysis_uid",
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video_bucket_name: "aws_bucket_name",
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video_object_name: "file_object_name",
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edl_bucket_name: "aws_bucket_name",
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edl_object_name: "edl_file_object_name",
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timecode_start: "00:00:02:00",
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timecode_end: "00:00:02:00",
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collection: { 1 => "source file name" },
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)
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end
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it "includes start_timecode_offset when provided" do
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allow(files_for_request).to receive(:start_timecode_offset).and_return("start_timecode_offset")
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allow(BrayniacAI::EdlParse).to receive(:create)
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EdlEventGateway.new(
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files_for_request,
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"00:00:02:00",
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"00:00:02:00",
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).edl_events
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expect(BrayniacAI::EdlParse).to have_received(:create).with(
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job_id: "video_analysis_uid",
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video_bucket_name: "aws_bucket_name",
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video_object_name: "file_object_name",
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edl_bucket_name: "aws_bucket_name",
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edl_object_name: "edl_file_object_name",
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timecode_start: "00:00:02:00",
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timecode_end: "00:00:02:00",
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collection: {},
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edl_timecode_start: "start_timecode_offset",
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)
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end
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it "does not include timecode_end, edl_timecode_start, job_id when given nil" do
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allow(ENV).to receive(:[]).with("AWS_BUCKET").and_return("test-bucket")
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allow(BrayniacAI::EdlParse).to receive(:create)
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allow(files_for_request).to receive(:job_id).and_return(nil)
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EdlEventGateway.new(
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files_for_request,
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"00:00:02:00",
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nil,
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collection: { 1 => "source file name" },
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).edl_events
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expect(BrayniacAI::EdlParse).to have_received(:create).with(
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video_bucket_name: "aws_bucket_name",
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video_object_name: "file_object_name",
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edl_bucket_name: "aws_bucket_name",
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edl_object_name: "edl_file_object_name",
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timecode_start: "00:00:02:00",
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collection: { 1 => "source file name" },
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)
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end
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end
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it "returns the collection of edl events from response" do
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edl_event = BrayniacAI::EdlParseResult.new({
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"channel" => "V",
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"start_time" => 0,
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"timecode_in" => "00:00:00:00",
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"timecode_out" => "00:00:01:00",
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"duration" => 1,
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"source_file_name" => "my_file.mp4",
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"clip_name" => "my_clip.mp4",
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"description" => "This is a great clip",
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"matches" => [1, 2],
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})
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allow(BrayniacAI::EdlParse).to receive(:create).and_return(
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BrayniacAI::EdlParse.new({ results: [edl_event] })
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)
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edl_events = EdlEventGateway.new(
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files_for_request,
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"00:00:02:00",
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"00:00:02:00",
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).edl_events
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expect(edl_events.size).to eq(1)
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expect(edl_events).to include(EdlEvent.new({
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"channel" => "V",
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"start_time" => 0,
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"timecode_in" => "00:00:00:00",
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"timecode_out" => "00:00:01:00",
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"duration" => 1,
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"source_file_name" => "my_file.mp4",
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"clip_name" => "my_clip.mp4",
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"description" => "This is a great clip",
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"matches" => [1, 2],
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}))
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end
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end
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describe "#edl_timecode_start" do
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it "returns edl_timecode_start from response" do
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allow(BrayniacAI::EdlParse).to receive(:create).and_return(BrayniacAI::EdlParse.new(edl_timecode_start: "edl_timecode_start"))
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expect(described_class.new(
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files_for_request,
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"00:00:00:00",
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"00:00:00:00"
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).edl_timecode_start).to eq "edl_timecode_start"
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end
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context "when response nil" do
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it "returns edl_timecode_start from response" do
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allow(BrayniacAI::EdlParse).to receive(:create).and_return(nil)
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expect(described_class.new(
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files_for_request,
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"00:00:00:00",
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"00:00:00:00"
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).edl_timecode_start).to be_nil
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end
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end
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end
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describe "#fps" do
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it "returns fps from response" do
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allow(BrayniacAI::EdlParse).to receive(:create).and_return(BrayniacAI::EdlParse.new(fps: 29.97))
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expect(described_class.new(
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files_for_request,
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"00:00:00:00",
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"00:00:00:00"
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).fps).to eq 29.97
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end
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context "when response nil" do
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it "returns nil" do
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allow(BrayniacAI::EdlParse).to receive(:create).and_return(nil)
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expect(described_class.new(
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files_for_request,
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"00:00:00:00",
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"00:00:00:00"
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).fps).to be_nil
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end
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end
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end
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describe "#edl_offset_seconds" do
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it "returns edl_offset_seconds from response" do
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allow(BrayniacAI::EdlParse).to receive(:create).and_return(BrayniacAI::EdlParse.new(edl_offset_seconds: 100))
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expect(described_class.new(
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files_for_request,
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"00:00:00:00",
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"00:00:00:00"
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).edl_offset_seconds).to eq 100
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end
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context "when response nil" do
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it "returns edl_offset_seconds from response" do
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allow(BrayniacAI::EdlParse).to receive(:create).and_return(nil)
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expect(described_class.new(
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files_for_request,
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"00:00:00:00",
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"00:00:00:00"
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).edl_offset_seconds).to be_nil
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end
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end
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end
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end
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