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Refactor daily track generation to avoid cleaning existing tracks
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parent
410cd86c4e
commit
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4 changed files with 82 additions and 602 deletions
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@ -57,11 +57,9 @@ class Tracks::DailyGenerationJob < ApplicationJob
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def find_last_processed_timestamp(user)
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last_track_end = user.tracks.maximum(:end_at)&.to_i
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if last_track_end
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last_track_end
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else
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first_point_timestamp = user.points.minimum(:timestamp)
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first_point_timestamp || 1.week.ago.to_i
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end
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return last_track_end if last_track_end
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first_point_timestamp = user.points.minimum(:timestamp)
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first_point_timestamp || 1.week.ago.to_i
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end
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end
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@ -17,8 +17,7 @@ class Tracks::ParallelGenerator
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end
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def call
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# Clean existing tracks if needed
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clean_existing_tracks if should_clean_tracks?
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clean_bulk_tracks if mode == :bulk
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# Generate time chunks
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time_chunks = generate_time_chunks
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@ -40,13 +39,6 @@ class Tracks::ParallelGenerator
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private
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def should_clean_tracks?
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case mode
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when :bulk, :daily then true
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else false
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end
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end
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def generate_time_chunks
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chunker = Tracks::TimeChunker.new(
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user,
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@ -95,15 +87,6 @@ class Tracks::ParallelGenerator
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)
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end
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def clean_existing_tracks
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case mode
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when :bulk then clean_bulk_tracks
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when :daily then clean_daily_tracks
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else
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raise ArgumentError, "Unknown mode: #{mode}"
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end
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end
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def clean_bulk_tracks
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if time_range_defined?
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user.tracks.where(start_at: time_range).destroy_all
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@ -112,17 +95,6 @@ class Tracks::ParallelGenerator
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end
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end
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def clean_daily_tracks
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# For daily mode, we don't want to clean all tracks for the day
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# Instead, we clean tracks that overlap with the time range we're processing
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# This allows for incremental processing without losing existing tracks
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return unless time_range_defined?
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# Only clean tracks that overlap with our processing time range
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user.tracks.where(start_at: time_range).destroy_all
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end
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def time_range_defined?
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start_at.present? || end_at.present?
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end
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@ -166,8 +138,8 @@ class Tracks::ParallelGenerator
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else
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# Convert seconds to readable format
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seconds = duration.to_i
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if seconds >= 86400 # days
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days = seconds / 86400
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if seconds >= 86_400 # days
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days = seconds / 86_400
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"#{days} day#{'s' if days != 1}"
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elsif seconds >= 3600 # hours
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hours = seconds / 3600
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@ -26,7 +26,7 @@ RSpec.describe Tracks::DailyGenerationJob, type: :job do
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# Update points_count for users to reflect actual points
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active_user.update!(points_count: active_user.points.count)
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trial_user.update!(points_count: trial_user.points.count)
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ActiveJob::Base.queue_adapter.enqueued_jobs.clear
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end
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@ -49,28 +49,62 @@ RSpec.describe Tracks::DailyGenerationJob, type: :job do
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end.not_to have_enqueued_job(Tracks::ParallelGeneratorJob)
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end
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it 'enqueues parallel generation for users with new points' do
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it 'enqueues correct number of parallel generation jobs for users with new points' do
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described_class.perform_now
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# Check that jobs were enqueued with correct parameters
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enqueued_jobs = ActiveJob::Base.queue_adapter.enqueued_jobs.select do |job|
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job[:job] == Tracks::ParallelGeneratorJob
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end
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expect(enqueued_jobs.count).to eq(2)
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end
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it 'enqueues parallel generation job for active user with correct parameters' do
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described_class.perform_now
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enqueued_jobs = ActiveJob::Base.queue_adapter.enqueued_jobs.select do |job|
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job[:job] == Tracks::ParallelGeneratorJob
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end
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# Check active user job
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active_user_job = enqueued_jobs.find { |job| job[:args].first == active_user.id }
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expect(active_user_job).to be_present
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job_kwargs = active_user_job[:args].last
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expect(job_kwargs['start_at']).to eq(active_user_old_track.end_at.to_i) # start_at
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expect(job_kwargs['mode']).to eq('daily') # mode
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end
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it 'uses correct start_at timestamp for active user' do
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described_class.perform_now
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enqueued_jobs = ActiveJob::Base.queue_adapter.enqueued_jobs.select do |job|
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job[:job] == Tracks::ParallelGeneratorJob
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end
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active_user_job = enqueued_jobs.find { |job| job[:args].first == active_user.id }
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job_kwargs = active_user_job[:args].last
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expect(job_kwargs['start_at']).to eq(active_user_old_track.end_at.to_i)
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end
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it 'uses daily mode for parallel generation jobs' do
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described_class.perform_now
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enqueued_jobs = ActiveJob::Base.queue_adapter.enqueued_jobs.select do |job|
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job[:job] == Tracks::ParallelGeneratorJob
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end
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active_user_job = enqueued_jobs.find { |job| job[:args].first == active_user.id }
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job_kwargs = active_user_job[:args].last
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expect(job_kwargs['mode']).to eq('daily')
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end
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it 'enqueues parallel generation job for trial user' do
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described_class.perform_now
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enqueued_jobs = ActiveJob::Base.queue_adapter.enqueued_jobs.select do |job|
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job[:job] == Tracks::ParallelGeneratorJob
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end
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# Check trial user job
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trial_user_job = enqueued_jobs.find { |job| job[:args].first == trial_user.id }
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expect(trial_user_job).to be_present
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trial_job_kwargs = trial_user_job[:args].last
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expect(trial_job_kwargs['mode']).to eq('daily') # mode
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end
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it 'does not enqueue jobs for users without new points' do
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@ -80,7 +114,7 @@ RSpec.describe Tracks::DailyGenerationJob, type: :job do
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have_enqueued_job(Tracks::ParallelGeneratorJob)
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end
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it 'handles users with no existing tracks' do
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it 'enqueues parallel generation job for users with no existing tracks' do
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# Create user with no tracks but with points spread over time
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user_no_tracks = create(:user, points_count: 5)
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# Create points with different timestamps so there are "new" points since the first one
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@ -92,23 +126,48 @@ RSpec.describe Tracks::DailyGenerationJob, type: :job do
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enqueued_jobs = ActiveJob::Base.queue_adapter.enqueued_jobs.select do |job|
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job[:job] == Tracks::ParallelGeneratorJob && job[:args].first == user_no_tracks.id
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end
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expect(enqueued_jobs.count).to eq(1)
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# For users with no tracks, should start from first point timestamp
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expect(enqueued_jobs.count).to eq(1)
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end
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it 'uses first point timestamp as start_at for users with no tracks' do
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# Create user with no tracks but with points spread over time
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user_no_tracks = create(:user, points_count: 5)
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# Create points with different timestamps so there are "new" points since the first one
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create(:point, user: user_no_tracks, timestamp: 2.hours.ago.to_i)
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create_list(:point, 4, user: user_no_tracks, timestamp: 1.hour.ago.to_i)
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described_class.perform_now
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enqueued_jobs = ActiveJob::Base.queue_adapter.enqueued_jobs.select do |job|
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job[:job] == Tracks::ParallelGeneratorJob && job[:args].first == user_no_tracks.id
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end
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# For users with no tracks, should start from first point timestamp
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job_kwargs = enqueued_jobs.first[:args].last
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expect(job_kwargs['start_at']).to eq(user_no_tracks.points.minimum(:timestamp))
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end
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it 'handles exceptions gracefully' do
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it 'does not raise errors when processing fails' do
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# Ensure users have points so they're not skipped
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active_user.update!(points_count: 5)
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trial_user.update!(points_count: 3)
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allow_any_instance_of(User).to receive(:tracks).and_raise(StandardError, 'Database error')
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allow(ExceptionReporter).to receive(:call)
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expect { described_class.perform_now }.not_to raise_error
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end
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it 'reports exceptions when processing fails' do
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# Ensure users have points so they're not skipped
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active_user.update!(points_count: 5)
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trial_user.update!(points_count: 3)
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allow_any_instance_of(User).to receive(:tracks).and_raise(StandardError, 'Database error')
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allow(ExceptionReporter).to receive(:call)
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described_class.perform_now
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expect(ExceptionReporter).to have_received(:call).at_least(:once)
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end
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549
tracks.md
549
tracks.md
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@ -1,549 +0,0 @@
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# Parallel Track Generator
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## ✅ FEATURE COMPLETE
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The parallel track generator is a production-ready alternative to the existing track generation system. It processes location data in parallel time-based chunks using background jobs, providing better scalability and performance for large datasets.
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Status: ✅ READY FOR PRODUCTION - Core functionality implemented and fully tested.
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## Current State Analysis
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### Existing Implementation Issues
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- Heavy reliance on complex SQL operations in Track.get_segments_with_points (app/services/tracks/generator.rb:47)
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- Uses PostgreSQL window functions, geography calculations, and array aggregations
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- All processing happens in a single synchronous operation
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- Memory intensive for large datasets
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- No parallel processing capability
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### Dependencies Available
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- ✅ ActiveJob framework already in use
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- ✅ Geocoder gem available for distance calculations
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- ✅ Existing job patterns (see app/jobs/tracks/create_job.rb)
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- ✅ User settings for time/distance thresholds
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## Architecture Overview
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### ✅ Implemented Directory Structure
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```
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app/
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├── jobs/
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│ └── tracks/
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│ ├── parallel_generator_job.rb ✅ Main coordinator
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│ ├── time_chunk_processor_job.rb ✅ Process individual time chunks
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│ ├── boundary_resolver_job.rb ✅ Merge cross-chunk tracks
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│ └── daily_generation_job.rb ✅ Daily automatic track generation
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├── services/
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│ └── tracks/
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│ ├── parallel_generator.rb ✅ Main service class
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│ ├── time_chunker.rb ✅ Split time ranges into chunks
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│ ├── segmentation.rb ✅ Ruby-based point segmentation (extended existing)
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│ ├── boundary_detector.rb ✅ Handle cross-chunk boundaries
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│ ├── session_manager.rb ✅ Rails.cache-based session tracking
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│ └── session_cleanup.rb ❌ Not implemented (session cleanup handled in SessionManager)
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└── models/concerns/
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└── distanceable.rb ✅ Extended with Geocoder calculations
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```
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### ✅ Implemented Key Components
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1. ✅ Parallel Generator: Main orchestrator service - coordinates the entire parallel process
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2. ✅ Time Chunker: Splits date ranges into processable chunks with buffer zones (default: 1 day)
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3. ✅ Rails.cache Session Manager: Tracks job progress and coordination (instead of Redis)
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4. ✅ Enhanced Segmentation: Extended existing module with Geocoder-based calculations
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5. ✅ Chunk Processor Jobs: Process individual time chunks in parallel using ActiveJob
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6. ✅ Boundary Resolver: Handles tracks spanning multiple chunks with sophisticated merging logic
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7. ❌ Session Cleanup: Not implemented as separate service (handled within SessionManager)
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8. ✅ Daily Track Generation: Automatic processing of new points every 4 hours for active/trial users
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### ✅ Implemented Data Flow
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```
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User Request
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↓
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ParallelGeneratorJob ✅
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↓
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Creates Rails.cache session entry ✅
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↓
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TimeChunker splits date range with buffer zones ✅
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↓
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Multiple TimeChunkProcessorJob (parallel) ✅
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↓
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Each processes one time chunk using Geocoder ✅
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↓
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BoundaryResolverJob (waits for all chunks) ✅
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↓
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Merges cross-boundary tracks ✅
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↓
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Rails.cache session marked as completed ✅
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```
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## Implementation Plan
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### Phase 1: Foundation (High Priority)
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#### 1.1 Rails.cache-Based Session Tracking
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Files to create:
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- app/services/tracks/session_manager.rb ✅ IMPLEMENTED
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Session Schema (Rails.cache):
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```ruby
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# Key pattern: "track_generation:user:#{user_id}:#{session_id}"
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{
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status: "pending", # pending, processing, completed, failed
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total_chunks: 0,
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completed_chunks: 0,
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tracks_created: 0,
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started_at: "2024-01-01T10:00:00Z",
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completed_at: nil,
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error_message: nil,
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metadata: {
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mode: "bulk",
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chunk_size: "1.day",
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user_settings: {...}
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}
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}
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#### 1.2 Extend Distanceable Concern ✅ IMPLEMENTED
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File: app/models/concerns/distanceable.rb
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- ✅ Add Geocoder-based Ruby calculation methods
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- ✅ Support pure Ruby distance calculations without SQL
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- ✅ Maintain compatibility with existing PostGIS methods
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#### 1.3 Time Chunker Service ✅ IMPLEMENTED
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File: app/services/tracks/time_chunker.rb
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- ✅ Split time ranges into configurable chunks (default: 1 day)
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- ✅ Add buffer zones for boundary detection (6-hour overlap)
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- ✅ Handle edge cases (empty ranges, single day)
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### Phase 2: Core Processing (High Priority)
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#### 2.1 Ruby Segmentation Service ✅ IMPLEMENTED
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File: app/services/tracks/segmentation.rb (extended existing)
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- ✅ Replace SQL window functions with Ruby logic
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- ✅ Stream points using find_each for memory efficiency
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- ✅ Use Geocoder for distance calculations
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- ✅ Implement gap detection (time and distance thresholds)
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- ✅ Return segments with pre-calculated distances
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#### 2.2 Parallel Generator Service ✅ IMPLEMENTED
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File: app/services/tracks/parallel_generator.rb
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- ✅ Main orchestrator for the entire process
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- ✅ Create generation sessions
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- ✅ Coordinate job enqueueing
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- ✅ Support all existing modes (bulk, incremental, daily)
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### Phase 3: Background Jobs (High Priority)
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#### 3.1 Parallel Generator Job ✅ IMPLEMENTED
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File: app/jobs/tracks/parallel_generator_job.rb
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- ✅ Entry point for background processing
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- ✅ Handle user notifications
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#### 3.2 Time Chunk Processor Job ✅ IMPLEMENTED
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File: app/jobs/tracks/time_chunk_processor_job.rb
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- ✅ Process individual time chunks
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- ✅ Create tracks from segments
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- ✅ Update session progress
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- ✅ Handle chunk-level errors
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#### 3.3 Boundary Resolver Job ✅ IMPLEMENTED
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File: app/jobs/tracks/boundary_resolver_job.rb
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- ✅ Wait for all chunks to complete
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- ✅ Identify and merge cross-boundary tracks
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- ✅ Clean up duplicate/overlapping tracks
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- ✅ Finalize session
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### Phase 4: Enhanced Features (Medium Priority)
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#### 4.1 Boundary Detector Service ✅ IMPLEMENTED
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File: app/services/tracks/boundary_detector.rb
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- ✅ Detect tracks spanning multiple chunks
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- ✅ Merge partial tracks across boundaries
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- ✅ Avoid duplicate track creation
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- ✅ Handle complex multi-day journeys
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#### 4.2 Session Cleanup Service ❌ NOT IMPLEMENTED
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File: app/services/tracks/session_cleanup.rb
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- ❌ Handle stuck/failed sessions (handled in SessionManager)
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- ❌ Cleanup expired Rails.cache sessions (automatic TTL)
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- ❌ Background maintenance tasks (not needed with Rails.cache)
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### Phase 5: Integration & Testing (Medium Priority)
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#### 5.1 Controller Integration ✅ IMPLEMENTED
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- ✅ Update existing controllers to use parallel generator
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- ✅ Maintain backward compatibility
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- ✅ Simple status checking if needed
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#### 5.2 Error Handling & Retry Logic ✅ IMPLEMENTED
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- ✅ Implement exponential backoff for failed chunks
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- ✅ Add dead letter queue for permanent failures
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- ✅ Create rollback mechanisms
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- ✅ Comprehensive logging and monitoring
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#### 5.3 Performance Optimization ⏳ PARTIALLY COMPLETE
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- ⏳ Benchmark memory usage vs SQL approach (ready for testing)
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- ⏳ Test scalability with large datasets (ready for testing)
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- ⏳ Profile job queue performance (ready for testing)
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- ✅ Optimize Geocoder usage
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## ✅ IMPLEMENTATION STATUS
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### Foundation Tasks ✅ COMPLETE
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- [x] ✅ DONE Create Tracks::SessionManager service for Rails.cache-based tracking
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- [x] ✅ DONE Implement session creation, updates, and cleanup
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|
||||
- [x] ✅ DONE Extend Distanceable concern with Geocoder integration
|
||||
|
||||
- [x] ✅ DONE Implement Tracks::TimeChunker with buffer zones
|
||||
|
||||
- [x] ✅ DONE Add Rails.cache TTL and cleanup strategies
|
||||
|
||||
- [x] ✅ DONE Write comprehensive unit tests (35/35 SessionManager, 28/28 TimeChunker tests passing)
|
||||
|
||||
### Core Processing Tasks ✅ COMPLETE
|
||||
|
||||
- [x] ✅ DONE Extend Tracks::Segmentation with Geocoder-based methods
|
||||
|
||||
- [x] ✅ DONE Replace SQL operations with Ruby streaming logic
|
||||
|
||||
- [x] ✅ DONE Add point loading with batching support
|
||||
|
||||
- [x] ✅ DONE Implement gap detection using time/distance thresholds
|
||||
|
||||
- [x] ✅ DONE Create Tracks::ParallelGenerator orchestrator service
|
||||
|
||||
- [x] ✅ DONE Support all existing modes (bulk, incremental, daily)
|
||||
|
||||
- [x] ✅ DONE Write comprehensive unit tests (40/40 ParallelGenerator, 29/29 BoundaryDetector tests passing)
|
||||
|
||||
### Background Job Tasks ✅ COMPLETE
|
||||
|
||||
- [x] ✅ DONE Create Tracks::ParallelGeneratorJob entry point
|
||||
|
||||
- [x] ✅ DONE Implement Tracks::TimeChunkProcessorJob for parallel processing
|
||||
|
||||
- [x] ✅ DONE Add progress tracking and error handling
|
||||
|
||||
- [x] ✅ DONE Create Tracks::BoundaryResolverJob for cross-chunk merging
|
||||
|
||||
- [x] ✅ DONE Implement job coordination and dependency management
|
||||
|
||||
- [x] ✅ DONE Add comprehensive logging and monitoring
|
||||
|
||||
- [x] ✅ DONE Write integration tests for job workflows
|
||||
|
||||
### Boundary Handling Tasks ✅ COMPLETE
|
||||
|
||||
- [x] ✅ DONE Implement Tracks::BoundaryDetector service
|
||||
|
||||
- [x] ✅ DONE Add cross-chunk track identification logic
|
||||
|
||||
- [x] ✅ DONE Create sophisticated track merging algorithms
|
||||
|
||||
- [x] ✅ DONE Handle duplicate track cleanup
|
||||
|
||||
- [x] ✅ DONE Add validation for merged tracks
|
||||
|
||||
- [x] ✅ DONE Test with complex multi-day scenarios
|
||||
|
||||
### Integration Tasks ✅ COMPLETE
|
||||
|
||||
- [x] ✅ DONE Job entry point maintains compatibility with existing patterns
|
||||
|
||||
- [x] ✅ DONE Progress tracking via Rails.cache sessions
|
||||
|
||||
- [x] ✅ DONE Error handling and user notifications
|
||||
|
||||
- [x] ✅ DONE Multiple processing modes supported
|
||||
|
||||
- [x] ✅ DONE User settings integration
|
||||
|
||||
### Documentation Tasks ⏳ PARTIALLY COMPLETE
|
||||
|
||||
- [x] ✅ DONE Updated implementation plan documentation
|
||||
|
||||
- [⏳] PENDING Create deployment guides
|
||||
|
||||
- [⏳] PENDING Document configuration options
|
||||
|
||||
- [⏳] PENDING Add troubleshooting guides
|
||||
|
||||
- [⏳] PENDING Update user documentation
|
||||
|
||||
### Recently Added Features ✅ COMPLETE
|
||||
|
||||
- [✅] Daily Track Generation: Automatic track creation from new points every 4 hours for active/trial users
|
||||
- [✅] User model extensions: Methods for checking processing needs and finding last track timestamps
|
||||
- [✅] Enhanced parallel generator: Improved daily mode support with incremental processing
|
||||
- [✅] Scheduled job configuration: Added to config/schedule.yml for automatic execution
|
||||
- [✅] Comprehensive test coverage: Full test suite for daily generation job
|
||||
|
||||
### Missing Implementation Note
|
||||
|
||||
- [❌] Session Cleanup Service: Not implemented as separate service. The SessionManager handles session lifecycle with Rails.cache automatic TTL expiration, making a dedicated cleanup service unnecessary.
|
||||
|
||||
## Technical Considerations
|
||||
|
||||
### Memory Management
|
||||
|
||||
- Use streaming with find_each to avoid loading large datasets
|
||||
|
||||
- Implement garbage collection hints for long-running jobs
|
||||
|
||||
- Monitor memory usage in production
|
||||
|
||||
### Job Queue Management
|
||||
|
||||
- Implement rate limiting for job enqueueing
|
||||
|
||||
- Use appropriate queue priorities
|
||||
|
||||
- Monitor queue depth and processing times
|
||||
|
||||
### Data Consistency
|
||||
|
||||
- Ensure atomicity when updating track associations
|
||||
|
||||
- Handle partial failures gracefully
|
||||
|
||||
- Implement rollback mechanisms for failed sessions
|
||||
|
||||
### Performance Optimization
|
||||
|
||||
- Cache user settings to avoid repeated queries
|
||||
|
||||
- Use bulk operations where possible
|
||||
|
||||
- Optimize Geocoder usage patterns
|
||||
|
||||
## Success Metrics
|
||||
|
||||
### Performance Improvements
|
||||
|
||||
- 50%+ reduction in database query complexity
|
||||
|
||||
- Ability to process datasets in parallel
|
||||
|
||||
- Improved memory usage patterns
|
||||
|
||||
- Faster processing for large datasets
|
||||
|
||||
### Operational Benefits
|
||||
|
||||
- Better error isolation and recovery
|
||||
|
||||
- Real-time progress tracking
|
||||
|
||||
- Resumable operations
|
||||
|
||||
- Improved monitoring and alerting
|
||||
|
||||
### Scalability Gains
|
||||
|
||||
- Horizontal scaling across multiple workers
|
||||
|
||||
- Better resource utilization
|
||||
|
||||
- Reduced database contention
|
||||
|
||||
- Support for concurrent user processing
|
||||
|
||||
## Risks and Mitigation
|
||||
|
||||
### Technical Risks
|
||||
|
||||
- Risk: Ruby processing might be slower than PostgreSQL
|
||||
|
||||
- Mitigation: Benchmark and optimize, keep SQL fallback option
|
||||
|
||||
- Risk: Job coordination complexity
|
||||
|
||||
- Mitigation: Comprehensive testing, simple state machine
|
||||
|
||||
- Risk: Memory usage in Ruby processing
|
||||
|
||||
- Mitigation: Streaming processing, memory monitoring
|
||||
|
||||
### Operational Risks
|
||||
|
||||
- Risk: Job queue overload
|
||||
|
||||
- Mitigation: Rate limiting, queue monitoring, auto-scaling
|
||||
|
||||
- Risk: Data consistency issues
|
||||
|
||||
- Mitigation: Atomic operations, comprehensive testing
|
||||
|
||||
- Risk: Migration complexity
|
||||
|
||||
- Mitigation: Feature flags, gradual rollout, rollback plan
|
||||
|
||||
---
|
||||
|
||||
## ✅ IMPLEMENTATION SUMMARY
|
||||
|
||||
### 🎉 SUCCESSFULLY COMPLETED
|
||||
|
||||
The parallel track generator system has been fully implemented and is ready for production use! Here's what was accomplished:
|
||||
|
||||
### 🚀 Key Features Delivered
|
||||
|
||||
1. ✅ Time-based chunking with configurable buffer zones (6-hour default)
|
||||
|
||||
2. ✅ Rails.cache session management (no Redis dependency required)
|
||||
|
||||
3. ✅ Geocoder integration for all distance calculations
|
||||
|
||||
4. ✅ Parallel background job processing using ActiveJob
|
||||
|
||||
5. ✅ Cross-chunk boundary detection and merging
|
||||
|
||||
6. ✅ Multiple processing modes (bulk, incremental, daily)
|
||||
|
||||
7. ✅ Comprehensive logging and progress tracking
|
||||
|
||||
8. ✅ User settings integration with caching
|
||||
|
||||
9. ✅ Memory-efficient streaming processing
|
||||
|
||||
10. ✅ Sophisticated error handling and recovery
|
||||
|
||||
### 📁 Files Created/Modified
|
||||
|
||||
#### New Services
|
||||
|
||||
- app/services/tracks/session_manager.rb ✅
|
||||
|
||||
- app/services/tracks/time_chunker.rb ✅
|
||||
|
||||
- app/services/tracks/parallel_generator.rb ✅
|
||||
|
||||
- app/services/tracks/boundary_detector.rb ✅
|
||||
|
||||
- app/services/tracks/session_cleanup.rb ✅
|
||||
|
||||
#### New Jobs
|
||||
|
||||
- app/jobs/tracks/parallel_generator_job.rb ✅
|
||||
|
||||
- app/jobs/tracks/time_chunk_processor_job.rb ✅
|
||||
|
||||
- app/jobs/tracks/boundary_resolver_job.rb ✅
|
||||
|
||||
#### Enhanced Existing
|
||||
|
||||
- app/models/concerns/distanceable.rb ✅ (added Geocoder methods)
|
||||
|
||||
- app/services/tracks/segmentation.rb ✅ (extended with Geocoder support)
|
||||
|
||||
#### Comprehensive Test Suite
|
||||
|
||||
- Complete test coverage for all core services
|
||||
|
||||
- Integration tests for job workflows
|
||||
|
||||
- Edge case handling and error scenarios
|
||||
|
||||
### 🎯 Architecture Delivered
|
||||
|
||||
The system successfully implements:
|
||||
|
||||
- Horizontal scaling across multiple background workers
|
||||
|
||||
- Time-based chunking instead of point-based (as requested)
|
||||
|
||||
- Rails.cache coordination instead of database persistence
|
||||
|
||||
- Buffer zone handling for cross-chunk track continuity
|
||||
|
||||
- Geocoder-based calculations throughout the system
|
||||
|
||||
- User settings integration with performance optimization
|
||||
|
||||
### 🏁 Ready for Production
|
||||
|
||||
The core functionality is complete and fully functional. All critical services have comprehensive test coverage with the following test counts:
|
||||
- SessionManager: 35 tests
|
||||
- TimeChunker: 28 tests
|
||||
- ParallelGenerator: 40 tests
|
||||
- BoundaryDetector: 29 tests
|
||||
|
||||
The system can be deployed and used immediately to replace the existing track generator with significant improvements in:
|
||||
|
||||
- Parallelization capabilities
|
||||
|
||||
- Memory efficiency
|
||||
|
||||
- Error isolation and recovery
|
||||
|
||||
- Progress tracking
|
||||
|
||||
- Scalability
|
||||
|
||||
### 📋 Next Steps (Optional)
|
||||
|
||||
1. Fix remaining test mock/spy setup issues
|
||||
|
||||
2. Performance benchmarking against existing system
|
||||
|
||||
3. Production deployment with feature flags
|
||||
|
||||
4. Memory usage profiling and optimization
|
||||
|
||||
5. Load testing with large datasets
|
||||
|
||||
Loading…
Reference in a new issue