The memory monitoring was incorrectly using total VM memory instead of per-process memory, causing false positives whenever any process in the system allocated memory. Changes: - Changed memory monitoring to per-process instead of total VM memory - Reduced thresholds to reasonable per-process values (50MB diff, 100MB total) - Increased minor GC trigger from 100 to 1000 packets to prevent GC after every normal batch This prevents detecting memory changes from other processes and eliminates the constant GC warnings while still maintaining proper memory management. 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
527 lines
16 KiB
Elixir
527 lines
16 KiB
Elixir
defmodule Aprsme.PacketConsumer do
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@moduledoc """
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GenStage consumer that batches APRS packets and inserts them into the database
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efficiently to reduce database load.
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"""
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use GenStage
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alias Aprsme.LogSanitizer
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alias Aprsme.Repo
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require Logger
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def start_link(opts \\ []) do
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# Allow unnamed consumers for pool usage
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name = opts[:name]
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if name do
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GenStage.start_link(__MODULE__, opts, name: name)
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else
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GenStage.start_link(__MODULE__, opts)
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end
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end
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@impl true
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def init(opts) do
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batch_size = opts[:batch_size] || 100
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batch_timeout = opts[:batch_timeout] || 1000
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# Maximum batch size to prevent unbounded memory growth
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max_batch_size = opts[:max_batch_size] || 1000
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# Start a timer for batch processing
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timer = Process.send_after(self(), :process_batch, batch_timeout)
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# Extract subscription options if provided
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subscribe_to = opts[:subscribe_to] || [{Aprsme.PacketProducer, max_demand: opts[:max_demand] || 250}]
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{:consumer,
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%{
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batch: [],
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batch_size: batch_size,
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batch_timeout: batch_timeout,
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max_batch_size: max_batch_size,
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timer: timer
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}, subscribe_to: subscribe_to}
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end
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@impl true
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def handle_events(
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events,
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_from,
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%{batch: batch, batch_size: batch_size, max_batch_size: max_batch_size, timer: timer} = state
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) do
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new_batch = batch ++ events
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new_batch_length = length(new_batch)
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cond do
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new_batch_length >= max_batch_size ->
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# If batch exceeds maximum size, process immediately and drop excess
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{process_batch, drop_batch} = Enum.split(new_batch, max_batch_size)
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process_batch(process_batch)
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# Log warning about dropping packets (sanitized)
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if length(drop_batch) > 0 do
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Logger.warning("Dropped #{length(drop_batch)} packets due to batch size limit",
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batch_info:
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LogSanitizer.log_data(
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dropped_count: length(drop_batch),
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processed_count: length(process_batch),
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reason: "batch_size_limit_exceeded"
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)
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)
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end
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# Cancel and restart timer
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Process.cancel_timer(timer)
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new_timer = Process.send_after(self(), :process_batch, state.batch_timeout)
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{:noreply, [], %{state | batch: [], timer: new_timer}}
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new_batch_length >= batch_size ->
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# Process the batch immediately
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process_batch(new_batch)
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# Cancel and restart timer
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Process.cancel_timer(timer)
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new_timer = Process.send_after(self(), :process_batch, state.batch_timeout)
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{:noreply, [], %{state | batch: [], timer: new_timer}}
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true ->
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# Add to batch and wait for more
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{:noreply, [], %{state | batch: new_batch}}
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end
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end
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@impl true
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def handle_info(:process_batch, %{batch: batch, batch_timeout: timeout, max_batch_size: max_batch_size} = state) do
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if length(batch) > 0 do
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# Check if batch size is concerning
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if length(batch) > max_batch_size * 0.8 do
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Logger.warning("Batch size approaching limit",
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batch_status:
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LogSanitizer.log_data(
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current_size: length(batch),
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max_size: max_batch_size,
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utilization_percent: trunc(length(batch) / max_batch_size * 100)
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)
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)
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end
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process_batch(batch)
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end
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# Start a new timer
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timer = Process.send_after(self(), :process_batch, timeout)
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{:noreply, [], %{state | batch: [], timer: timer}}
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end
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defp process_batch(packets) do
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require Logger
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# Monitor memory usage before processing (only this process)
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{:memory, memory_before} = Process.info(self(), :memory)
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start_time = System.monotonic_time(:millisecond)
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# Chunk size optimized for PostgreSQL work_mem=16MB
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# Using smaller batches to reduce memory pressure
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chunk_size = Application.get_env(:aprsme, :packet_pipeline)[:batch_size] || 100
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# Use Stream for memory-efficient processing
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results =
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packets
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|> Stream.chunk_every(chunk_size)
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|> Stream.map(&process_chunk/1)
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|> Enum.to_list()
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{success_count, error_count} =
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Enum.reduce(results, {0, 0}, fn {success, error}, {total_success, total_error} ->
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{total_success + success, total_error + error}
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end)
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end_time = System.monotonic_time(:millisecond)
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duration = end_time - start_time
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# Monitor memory usage after processing (only this process)
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{:memory, memory_after} = Process.info(self(), :memory)
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memory_diff = memory_after - memory_before
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# Get current process memory info
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process_info = Process.info(self(), [:memory, :heap_size, :total_heap_size])
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# Force garbage collection if memory usage is high
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# 50MB threshold for memory diff (per process)
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# 100MB threshold for process memory
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if memory_diff > 52_428_800 or process_info[:memory] > 104_857_600 do
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:erlang.garbage_collect()
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Logger.warning("High memory usage detected, forced garbage collection",
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memory_info:
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LogSanitizer.log_data(
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memory_diff_bytes: memory_diff,
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process_memory: process_info[:memory],
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heap_size: process_info[:heap_size],
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total_heap_size: process_info[:total_heap_size],
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batch_size: length(packets),
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gc_forced: true
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)
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)
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end
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# Only do minor GC after very large batches to prevent memory accumulation
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# This should rarely trigger with batch_size of 100
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if length(packets) > 1000 do
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:erlang.garbage_collect(self(), type: :minor)
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end
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:telemetry.execute(
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[
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:aprsme,
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:packet_pipeline,
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:batch
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],
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%{
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count: length(packets),
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success: success_count,
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error: error_count,
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duration_ms: duration,
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memory_diff: memory_diff
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},
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%{}
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)
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# Logger.info("Batch processing completed",
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# batch_result:
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# LogSanitizer.log_data(
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# packet_count: length(packets),
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# duration_ms: duration,
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# success_count: success_count,
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# error_count: error_count,
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# memory_diff_bytes: memory_diff
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# )
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# )
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end
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defp process_chunk(packets) do
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# Use Stream for memory-efficient packet preparation
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packet_stream =
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packets
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|> Stream.map(&prepare_packet_for_insert/1)
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|> Stream.map(&truncate_datetimes_to_second/1)
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|> Stream.reject(&is_nil/1)
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# Separate valid and invalid packets using Stream
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{valid_packets, invalid_count} =
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Enum.reduce(packet_stream, {[], 0}, fn packet, {valid_acc, invalid_acc} ->
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if valid_packet?(packet) do
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{[packet | valid_acc], invalid_acc}
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else
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{valid_acc, invalid_acc + 1}
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end
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end)
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# Reverse to maintain order
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valid_packets = Enum.reverse(valid_packets)
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# Insert valid packets in batch
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# Optimized for PostgreSQL with synchronous_commit=off
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insert_opts = [
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# Don't return IDs for better performance
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returning: false,
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# Skip conflicts to avoid blocking
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on_conflict: :nothing,
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# Increased timeout for large batches
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timeout: 60_000,
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# Use placeholders for better performance with large batches
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placeholders: length(valid_packets) > 100
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]
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case Repo.insert_all(Aprsme.Packet, valid_packets, insert_opts) do
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{:error, error} ->
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Logger.error("Batch insert failed: #{inspect(error)}")
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{0, length(packets)}
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{inserted_count, _} ->
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# Broadcast successfully inserted packets to StreamingPacketsPubSub
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broadcast_packets_async(valid_packets)
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{inserted_count, invalid_count}
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end
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end
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# Broadcast packets asynchronously to avoid blocking
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defp broadcast_packets_async(packets) do
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Task.start(fn ->
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Enum.each(packets, fn packet_attrs ->
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# Convert back to a format suitable for broadcasting
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packet = %{
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sender: packet_attrs[:sender],
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latitude: packet_attrs[:lat],
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longitude: packet_attrs[:lon],
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received_at: packet_attrs[:received_at],
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data_type: packet_attrs[:data_type],
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altitude: packet_attrs[:altitude],
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speed: packet_attrs[:speed],
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course: packet_attrs[:course],
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comment: packet_attrs[:comment]
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}
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Aprsme.StreamingPacketsPubSub.broadcast_packet(packet)
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end)
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end)
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end
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defp prepare_packet_for_insert(packet_data) do
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# Always set received_at timestamp to ensure consistency
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current_time = DateTime.truncate(DateTime.utc_now(), :microsecond)
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packet_data = Map.put(packet_data, :received_at, current_time)
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# Convert to map before storing to avoid struct conversion issues
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attrs = struct_to_map(packet_data)
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# Extract additional data from the parsed packet including raw packet
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attrs = Aprsme.Packet.extract_additional_data(attrs, attrs[:raw_packet] || "")
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# Normalize data_type to string if it's an atom
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attrs = normalize_data_type(attrs)
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# Apply the same processing as the original store_packet function
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attrs
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|> normalize_packet_attrs()
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|> set_received_at()
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|> patch_lat_lon_from_data_extended()
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|> then(fn attrs ->
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{lat, lon} = extract_position(attrs)
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set_lat_lon(attrs, lat, lon)
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end)
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|> normalize_ssid()
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|> then(fn attrs ->
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device_identifier = Aprsme.DeviceParser.extract_device_identifier(packet_data)
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Map.put(attrs, :device_identifier, device_identifier)
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end)
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|> sanitize_packet_strings()
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|> Map.put(:inserted_at, current_time)
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|> Map.put(:updated_at, current_time)
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|> Map.delete(:id)
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|> Map.delete("id")
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# Remove embedded field for batch insert
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|> Map.delete(:data_extended)
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|> normalize_numeric_types()
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|> truncate_datetimes_to_second()
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# Explicitly remove raw_weather_data to prevent insert_all errors
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|> Map.delete(:raw_weather_data)
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|> Map.delete("raw_weather_data")
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# Create PostGIS geometry for location field
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|> create_location_geometry()
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rescue
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error ->
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Logger.error("Failed to prepare packet for batch insert: #{inspect(error)}")
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nil
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end
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# Create PostGIS geometry from lat/lon coordinates
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defp create_location_geometry(attrs) do
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lat = attrs[:lat]
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lon = attrs[:lon]
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if valid_coordinates?(lat, lon) do
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location = create_point(lat, lon)
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if location do
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Map.put(attrs, :location, location)
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else
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attrs
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end
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else
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attrs
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end
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end
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# Helper functions for coordinate validation and point creation
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defp valid_coordinates?(lat, lon) do
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lat = normalize_coordinate(lat)
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lon = normalize_coordinate(lon)
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is_number(lat) && is_number(lon) &&
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lat >= -90 && lat <= 90 &&
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lon >= -180 && lon <= 180
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end
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defp normalize_coordinate(%Decimal{} = decimal), do: Decimal.to_float(decimal)
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defp normalize_coordinate(coord), do: coord
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defp create_point(lat, lon)
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when (is_number(lat) or is_struct(lat, Decimal)) and (is_number(lon) or is_struct(lon, Decimal)) do
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lat = normalize_coordinate(lat)
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lon = normalize_coordinate(lon)
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if valid_coordinates?(lat, lon) do
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%Geo.Point{coordinates: {lon, lat}, srid: 4326}
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end
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end
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defp create_point(_, _), do: nil
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defp valid_packet?(nil), do: false
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defp valid_packet?(%{sender: sender}) when is_binary(sender) and byte_size(sender) > 0, do: true
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defp valid_packet?(_), do: false
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# Helper functions copied from Packets module for consistency
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defp normalize_packet_attrs(attrs) do
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attrs
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|> Map.put_new(:base_callsign, attrs[:sender])
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|> Map.put_new(:data_type, "unknown")
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|> Map.put_new(:destination, "")
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|> Map.put_new(:information_field, "")
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|> Map.put_new(:path, "")
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|> Map.put_new(:ssid, "")
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|> Map.put_new(:data_extended, %{})
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end
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defp set_received_at(attrs) do
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received_at = attrs[:received_at] || DateTime.utc_now()
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Map.put(attrs, :received_at, received_at)
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end
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defp patch_lat_lon_from_data_extended(attrs) do
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case attrs[:data_extended] do
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%{latitude: lat, longitude: lon} when not is_nil(lat) and not is_nil(lon) ->
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attrs
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|> Map.put(:lat, lat)
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|> Map.put(:lon, lon)
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|> Map.put(:has_position, true)
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_ ->
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attrs
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end
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end
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defp extract_position(packet_data) do
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if not is_nil(packet_data[:lat]) and not is_nil(packet_data[:lon]) do
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{to_float(packet_data.lat), to_float(packet_data.lon)}
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else
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extract_position_from_data_extended(packet_data[:data_extended])
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end
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end
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defp extract_position_from_data_extended(nil), do: {nil, nil}
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defp extract_position_from_data_extended(data_extended) when is_map(data_extended) do
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if has_standard_position?(data_extended) do
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extract_standard_position(data_extended)
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else
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extract_position_from_data_extended_case(data_extended)
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end
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end
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defp extract_position_from_data_extended(_), do: {nil, nil}
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defp has_standard_position?(data_extended) when is_map(data_extended) and not is_struct(data_extended) do
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not is_nil(data_extended[:latitude]) and not is_nil(data_extended[:longitude])
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end
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defp has_standard_position?(_), do: false
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defp extract_standard_position(data_extended) when is_map(data_extended) and not is_struct(data_extended) do
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{to_float(data_extended[:latitude]), to_float(data_extended[:longitude])}
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end
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defp extract_standard_position(_), do: {nil, nil}
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defp extract_position_from_data_extended_case(data_extended) do
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lat = extract_lat_from_ext_map(data_extended)
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lon = extract_lon_from_ext_map(data_extended)
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{to_float(lat), to_float(lon)}
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end
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defp extract_lat_from_ext_map(ext_map) do
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ext_map[:latitude] || ext_map["latitude"] ||
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(Map.has_key?(ext_map, :position) &&
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(ext_map[:position][:latitude] || ext_map[:position]["latitude"])) ||
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(Map.has_key?(ext_map, "position") &&
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(ext_map["position"][:latitude] || ext_map["position"]["latitude"]))
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end
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defp extract_lon_from_ext_map(ext_map) do
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ext_map[:longitude] || ext_map["longitude"] ||
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(Map.has_key?(ext_map, :position) &&
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(ext_map[:position][:longitude] || ext_map[:position]["longitude"])) ||
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(Map.has_key?(ext_map, "position") &&
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(ext_map["position"][:longitude] || ext_map["position"]["longitude"]))
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end
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defp set_lat_lon(attrs, lat, lon) do
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round6 = fn
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nil ->
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nil
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n when is_float(n) ->
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Float.round(n, 6)
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end
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attrs
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|> Map.put(:lat, round6.(lat))
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|> Map.put(:lon, round6.(lon))
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|> Map.put(:has_position, not is_nil(lat) and not is_nil(lon))
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end
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defp normalize_ssid(attrs) do
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case Map.get(attrs, :ssid) do
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nil -> attrs
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ssid -> Map.put(attrs, :ssid, to_string(ssid))
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end
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end
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defp sanitize_packet_strings(value), do: Aprsme.EncodingUtils.sanitize_packet_strings(value)
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defp to_float(value), do: Aprsme.EncodingUtils.to_float(value)
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defp normalize_data_type(attrs), do: Aprsme.EncodingUtils.normalize_data_type(attrs)
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defp struct_to_map(%{__struct__: struct_type} = struct) do
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converted_map =
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struct
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|> Map.from_struct()
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|> Map.new(fn {k, v} -> {k, struct_to_map(v)} end)
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Map.put(converted_map, :__original_struct__, struct_type)
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end
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defp struct_to_map(value) when is_list(value) do
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Enum.map(value, &struct_to_map/1)
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end
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defp struct_to_map(value), do: value
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defp truncate_datetimes_to_second(%DateTime{} = dt), do: DateTime.truncate(dt, :second)
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defp truncate_datetimes_to_second({:ok, %DateTime{} = dt}), do: DateTime.truncate(dt, :second)
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defp truncate_datetimes_to_second(term) when is_map(term) and not is_struct(term) do
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Map.new(term, fn {k, v} -> {k, truncate_datetimes_to_second(v)} end)
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end
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defp truncate_datetimes_to_second(list) when is_list(list), do: Enum.map(list, &truncate_datetimes_to_second/1)
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defp truncate_datetimes_to_second(other), do: other
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defp normalize_numeric_types(attrs) do
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# Convert integer values to floats for float fields
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float_fields = [
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:temperature,
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:humidity,
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:wind_speed,
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:wind_gust,
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:pressure,
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:rain_1h,
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:rain_24h,
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:rain_since_midnight,
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:snow,
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:speed,
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:altitude
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]
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Enum.reduce(float_fields, attrs, fn field, acc ->
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case Map.get(acc, field) do
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value when is_integer(value) -> Map.put(acc, field, value * 1.0)
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|
_ -> acc
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|
end
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|
end)
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end
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|
end
|