213 lines
8.4 KiB
Julia
213 lines
8.4 KiB
Julia
#!/usr/bin/env julia
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# Test script for mixed-content message testing
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# Tests receiving a mix of text, json, table, image, audio, video, and binary data
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# from Julia serviceA to Julia serviceB using NATSBridge.jl smartreceive
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#
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# This test demonstrates that any combination and any number of mixed content
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# can be sent and received correctly.
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using NATS, JSON, UUIDs, Dates, PrettyPrinting, DataFrames, Arrow, HTTP, Base64
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# Include the bridge module
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include("../src/NATSBridge.jl")
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using .NATSBridge
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# Configuration
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const SUBJECT = "/NATSBridge_mix_test"
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const NATS_URL = "nats.yiem.cc"
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const FILESERVER_URL = "http://192.168.88.104:8080"
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# ------------------------------------------------------------------------------------------------ #
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# test mixed content transfer #
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# ------------------------------------------------------------------------------------------------ #
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# Helper: Log with correlation ID
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function log_trace(message)
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timestamp = Dates.now()
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println("[$timestamp] $message")
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end
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# Receiver: Listen for messages and verify mixed content handling
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function test_mix_receive()
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conn = NATS.connect(NATS_URL)
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NATS.subscribe(conn, SUBJECT) do msg
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log_trace("Received message on $(msg.subject)")
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# Use NATSBridge.smartreceive to handle the data
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# API: smartreceive(msg, download_handler; max_retries, base_delay, max_delay)
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result = NATSBridge.smartreceive(
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msg;
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max_retries = 5,
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base_delay = 100,
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max_delay = 5000
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)
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log_trace("Received $(length(result)) payloads")
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# Result is a list of (dataname, data, data_type) tuples
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for (dataname, data, data_type) in result
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log_trace("\n=== Payload: $dataname (type: $data_type) ===")
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# Handle different data types
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if data_type == "text"
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# Text data - should be a String
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if isa(data, String)
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log_trace(" Type: String")
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log_trace(" Length: $(length(data)) characters")
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# Display first 200 characters
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if length(data) > 200
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log_trace(" First 200 chars: $(data[1:200])...")
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else
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log_trace(" Content: $data")
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end
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# Save to file
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output_path = "./received_$dataname.txt"
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write(output_path, data)
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log_trace(" Saved to: $output_path")
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else
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log_trace(" ERROR: Expected String, got $(typeof(data))")
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end
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elseif data_type == "dictionary"
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# Dictionary data - should be JSON object
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if isa(data, JSON.Object{String, Any})
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log_trace(" Type: Dict")
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log_trace(" Keys: $(keys(data))")
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# Display nested content
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for (key, value) in data
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log_trace(" $key => $value")
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end
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# Save to JSON file
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output_path = "./received_$dataname.json"
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json_str = JSON.json(data, 2)
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write(output_path, json_str)
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log_trace(" Saved to: $output_path")
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else
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log_trace(" ERROR: Expected Dict, got $(typeof(data))")
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end
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elseif data_type == "table"
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# Table data - should be a DataFrame
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data = DataFrame(data)
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if isa(data, DataFrame)
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log_trace(" Type: DataFrame")
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log_trace(" Dimensions: $(size(data, 1)) rows x $(size(data, 2)) columns")
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log_trace(" Columns: $(names(data))")
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# Display first few rows
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log_trace(" First 5 rows:")
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display(data[1:min(5, size(data, 1)), :])
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# Save to Arrow file
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output_path = "./received_$dataname.arrow"
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io = IOBuffer()
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Arrow.write(io, data)
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write(output_path, take!(io))
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log_trace(" Saved to: $output_path")
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else
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log_trace(" ERROR: Expected DataFrame, got $(typeof(data))")
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end
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elseif data_type == "image"
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# Image data - should be Vector{UInt8}
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if isa(data, Vector{UInt8})
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log_trace(" Type: Vector{UInt8} (binary)")
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log_trace(" Size: $(length(data)) bytes")
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# Save to file
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output_path = "./received_$dataname.bin"
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write(output_path, data)
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log_trace(" Saved to: $output_path")
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else
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log_trace(" ERROR: Expected Vector{UInt8}, got $(typeof(data))")
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end
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elseif data_type == "audio"
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# Audio data - should be Vector{UInt8}
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if isa(data, Vector{UInt8})
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log_trace(" Type: Vector{UInt8} (binary)")
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log_trace(" Size: $(length(data)) bytes")
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# Save to file
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output_path = "./received_$dataname.bin"
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write(output_path, data)
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log_trace(" Saved to: $output_path")
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else
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log_trace(" ERROR: Expected Vector{UInt8}, got $(typeof(data))")
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end
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elseif data_type == "video"
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# Video data - should be Vector{UInt8}
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if isa(data, Vector{UInt8})
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log_trace(" Type: Vector{UInt8} (binary)")
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log_trace(" Size: $(length(data)) bytes")
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# Save to file
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output_path = "./received_$dataname.bin"
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write(output_path, data)
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log_trace(" Saved to: $output_path")
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else
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log_trace(" ERROR: Expected Vector{UInt8}, got $(typeof(data))")
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end
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elseif data_type == "binary"
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# Binary data - should be Vector{UInt8}
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if isa(data, Vector{UInt8})
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log_trace(" Type: Vector{UInt8} (binary)")
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log_trace(" Size: $(length(data)) bytes")
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# Save to file
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output_path = "./received_$dataname.bin"
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write(output_path, data)
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log_trace(" Saved to: $output_path")
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else
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log_trace(" ERROR: Expected Vector{UInt8}, got $(typeof(data))")
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end
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else
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log_trace(" ERROR: Unknown data type '$data_type'")
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end
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end
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# Summary
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println("\n=== Verification Summary ===")
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text_count = count(x -> x[3] == "text", result)
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dict_count = count(x -> x[3] == "dictionary", result)
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table_count = count(x -> x[3] == "table", result)
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image_count = count(x -> x[3] == "image", result)
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audio_count = count(x -> x[3] == "audio", result)
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video_count = count(x -> x[3] == "video", result)
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binary_count = count(x -> x[3] == "binary", result)
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log_trace("Text payloads: $text_count")
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log_trace("Dictionary payloads: $dict_count")
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log_trace("Table payloads: $table_count")
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log_trace("Image payloads: $image_count")
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log_trace("Audio payloads: $audio_count")
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log_trace("Video payloads: $video_count")
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log_trace("Binary payloads: $binary_count")
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end
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# Keep listening for 2 minutes
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sleep(120)
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NATS.drain(conn)
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end
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# Run the test
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println("Starting mixed-content transport test...")
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println("Note: This receiver will wait for messages from the sender.")
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println("Run test_julia_to_julia_mix_sender.jl first to send test data.")
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# Run receiver
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println("\ntesting smartreceive for mixed content")
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test_mix_receive()
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println("\nTest completed.") |