chore(e2e): retire streamhub/datasources/recorder standalone scripts superseded by run_e2e.sh

This commit is contained in:
Martino Ferrari
2026-07-01 22:04:08 +02:00
parent 8337d678be
commit 4286ea4539
11 changed files with 1 additions and 1717 deletions
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// UDPStreamerClient — E2E Test Report
// Author: Martino Ferrari
// Date: June 2026
#set document(
title: "UDPStreamerClient — End-to-End Test Report",
author: "Martino Ferrari",
date: datetime(year: 2026, month: 6, day: 24),
)
#set page(numbering: "1 / 1", margin: (left: 2.5cm, right: 2.5cm, top: 2cm, bottom: 2cm))
#set heading(numbering: "1.")
#set par(justify: true)
#show link: underline
#show raw.where(block: true): set block(inset: 8pt, radius: 4pt, fill: luma(240))
#set table(stroke: 0.5pt, inset: 8pt)
// ── Live validation data (emitted by validate_binary.py --json) ──
#let uni = json("e2e_unicast.json")
#let multi = json("e2e_multicast.json")
#let fidx(v) = if v < 0 { [] } else { [#v] }
#let pct(n, d) = if d > 0 { [#(calc.round(100 * n / d, digits: 1))%] } else { [] }
#let status-badge(d) = {
let c = if d.passed { green.darken(20%) } else { red.darken(10%) }
text(fill: c, weight: "bold")[#d.status]
}
// Validation metrics table for one mode's json record.
#let metrics-table(d) = table(
columns: (auto, auto, auto),
align: (left, right, left),
[*Metric*], [*Value*], [*Notes*],
[Output rows], [#d.n_rows_out], [Cycles captured by `FileWriter`],
[Matching rows], [#d.matching_rows (#pct(d.matching_rows, d.n_rows_out))], [Non-zero rows equal to an input row],
[Zero rows], [#d.zero_rows (#pct(d.zero_rows, d.n_rows_out))], [Startup transient before first `DATA`],
[Mismatching rows], [#d.mismatching_rows (#pct(d.mismatching_rows, d.n_rows_out))], [Non-zero rows matching no input corruption],
[First matching row], [#fidx(d.first_matching_row)], [Index of first transported row],
[First zero row], [#fidx(d.first_zero_row)], [Index of first all-zero row],
[First mismatching row], [#fidx(d.first_mismatch_row)], [`—` when no corruption],
[Status], [#status-badge(d)], [#d.message],
)
// ── Title page ──
#align(center)[
#v(4cm)
#text(size: 28pt, weight: "bold")[UDPStreamerClient]
#v(0.5cm)
#text(size: 18pt)[End-to-End Test Report]
#v(1.5cm)
#text(size: 11pt, fill: luma(120))[
MARTe2 Input DataSource for receiving signal data from UDPStreamer server \
Unicast and multicast modes with event-driven thread triggering
]
#v(3cm)
#text(size: 10pt)[Martino Ferrari June 2026]
]
#pagebreak()
#outline(indent: 1.5em, depth: 3)
#pagebreak()
// ═══════════════════════════════════════
// 1. Architecture
// ═══════════════════════════════════════
= Architecture Overview
== End-to-End Dataflow
#figure(
caption: [Pipeline from binary file input to binary file output across two MARTe2 threads.],
{
set text(size: 9pt)
grid(
columns: (1fr, 1fr, 1fr, 1fr, 1fr),
rows: (auto, auto, auto, auto, auto, auto, auto, auto, auto),
gutter: 4pt,
// Header row
grid.cell(colspan: 5, align(center)[*Thread 1 — 1kHz, CPU 0x1*]),
grid.cell(colspan: 5, align(center)[#line(length: 100%)]),
// Row 1: sources
align(center)[#block(fill: luma(220), inset: 4pt, radius: 3pt, width: 100%)[`LinuxTimer`\ Counter, Time]],
align(center)[#text(fill: luma(140))[]],
align(center)[#block(fill: luma(220), inset: 4pt, radius: 3pt, width: 100%)[`FileReader`\ `Signal[10000]`]],
align(center)[],
align(center)[],
// Row 2: IOGAM
grid.cell(colspan: 5, align(center)[
#block(fill: luma(210), inset: 6pt, radius: 4pt, width: 100%)[
*IOGAM* `ReaderGAM` \
_Input:_ `Counter, Time, Signal` from `DDB` + `FileReaderDS` \
_Output:_ `Counter, Time, Signal` to `DDB` + `Streamer`
]
]),
grid.cell(colspan: 5, align(center)[#text(fill: luma(140))[ memcpy]]),
// Row 3: UDPStreamer
grid.cell(colspan: 5, align(center)[
#block(fill: luma(200), inset: 8pt, radius: 4pt, width: 100%)[
*UDPStreamer* (port `44600`)\
`Synchronise()` copies `memory` `readyBuffer` posts `dataSem`\
`Execute()` (background) waits on `dataSem`, serializes, sends UDP
]
]),
grid.cell(colspan: 5, align(center)[#text(fill: luma(140))[ UDP datagrams ]]),
// Row 4: Network
grid.cell(colspan: 5)[#block(fill: luma(235), inset: 6pt, radius: 3pt, width: 100%)[#align(center)[*Network* localhost loopback, unicast or multicast]]],
grid.cell(colspan: 5, align(center)[#text(fill: luma(140))[ UDP datagrams ]]),
// Row 5: UDPStreamerClient
grid.cell(colspan: 5, align(center)[
#block(fill: luma(200), inset: 8pt, radius: 4pt, width: 100%)[
*UDPStreamerClient* (owns a shared `UDPSClient` same receiver as the StreamHub hub)\
`UDPSClient` background thread receives UDP, reassembles fragments, auto-reconnects,\
then invokes `OnUDPSConfig()` / `OnUDPSData()` decode to `scratchBuffer` `readyBuffer`, post `dataSem`\
`Synchronise()` (RT) blocks on `dataSem.ResetWait()` _no `LinuxTimer` needed_
]
]),
grid.cell(colspan: 5, align(center)[#text(fill: luma(140))[ memcpy]]),
// Row 6: IOGAM
grid.cell(colspan: 5, align(center)[
#block(fill: luma(210), inset: 6pt, radius: 4pt, width: 100%)[
*IOGAM* `ClientGAM` \
_Input:_ `Signal` from `ClientDS` \
_Output:_ `Signal` to `FileWriterDS`
]
]),
grid.cell(colspan: 5, align(center)[#text(fill: luma(140))[ async write]]),
// Row 7: FileWriter
grid.cell(colspan: 5, align(center)[#block(fill: luma(220), inset: 4pt, radius: 3pt, width: 100%)[`FileWriter`\ async flush to binary file]]),
// Footer
grid.cell(colspan: 5, align(center)[#line(length: 100%)]),
grid.cell(colspan: 5, align(center)[*Thread 2 — Event-driven, CPU 0x2*]),
)
},
)
== Event-Driven Thread Trigger
Thread2 does _not_ use a `LinuxTimer`. Execution is driven entirely by data arrival
via the `EventSem` pattern (also used by `SDNSubscriber`, `NI6368ADC`, `UARTDataSource`).
Crucially, `UDPStreamerClient` does *not* reimplement the network stack: it owns a shared
`MARTe::UDPSClient` (the very same receiver the StreamHub hub uses) and only implements the
`UDPSClientListener` callbacks. Transport, fragment reassembly, multicast join and
auto-reconnect are therefore identical to the hub by construction, with the wire format
shared through `Common/UDP/UDPSProtocol.h`.
#enum(
numbering: "1.",
[`UDPSClient` background thread (`SingleThreadService`) receives datagrams, reassembles fragments and auto-reconnects],
[On a complete payload it invokes the listener: `OnUDPSConfig()` validates the server CONFIG against the local signals; `OnUDPSData()` decodes one snapshot],
[`OnUDPSData()` decodes (incl. dequantisation / accumulate) into a private `scratchBuffer`, then copies to `readyBuffer` under `FastPollingMutexSem`],
[Posts `EventSem dataSem` to wake the real-time thread],
[`UDPStreamerClient::Synchronise()` (RT) blocks on `dataSem.ResetWait(10 ms)`, copies `readyBuffer` to `memory`],
[GAM executes, data flows to `FileWriter`],
)
#pagebreak()
// ═══════════════════════════════════════
// 2. Latency Budget
// ═══════════════════════════════════════
= Latency Budget
#figure(
image("latency_budget.png", width: 100%),
caption: [Estimated per-cycle latency. Total: 54ms 18Hz max throughput. Bottlenecks: `FileWriter` async flush (50ms) and poll sleeps (2ms).],
)
== Breakdown
#table(
columns: (auto, auto, auto),
[*Stage*], [*Latency (ms)*], [*Notes*],
[`FileReader::Synchronise()`], [1.0], [Blocking read from OS buffer],
[`IOGAM` (memcpy)], [0.1], [24KB copy (6100 float32)],
[`UDPStreamer::Synchronise()`], [1.0], [Copy `memory` `readyBuffer` + post semaphore],
[`UDPStreamer::Execute()` (bg)], [1.0], [`Sleep::MSec(1)` poll interval],
[Network (localhost)], [0.05], [Loopback, negligible],
[`UDPSClient` receiver (bg)], [1.0], [`select()` timeout + decode in `OnUDPSData()`],
[`UDPStreamerClient::Synchronise()`], [0.01], [`ResetWait(10ms)`, copy, return],
[`IOGAM` (memcpy)], [0.1], [24KB copy (6100 floats)],
[`FileWriter` (async flush)], [50.0], [Disk I/O, buffer count configurable],
[*Total*], [*54.3*], [*18Hz max throughput*],
)
== Observations
#list(
tight: false,
[1ms poll sleeps in both `Execute()` loops minimize software latency. Total poll overhead: 2ms.],
[`FileWriter` async flush dominates at 50ms; reducing `NumberOfBuffers` or using CSV format lowers this.],
[Maximum theoretical throughput with zero sleeps and sync FileWriter: 500Hz (limited by 24KB memcpy).],
[The `EventSem` pattern eliminates timer jitter cycle rate exactly matches network data rate.],
)
#pagebreak()
// ═══════════════════════════════════════
// 3. Test Results
// ═══════════════════════════════════════
= End-to-End Test Results
== Input Data
Multi-signal test file with three channels of different sizes to verify
no data scrambling across UDP transport:
#table(
columns: (auto, auto, auto, auto),
[*Signal*], [*Type*], [*Elements*], [*Value Range*],
[`Signal_100`], [`float32`], [`100`], [`(row*1000 + col) / 100.0`],
[`Signal_1K`], [`float32`], [`1000`], [`(row*500 + col) / 50.0`],
[`Signal_5K`], [`float32`], [`5000`], [`(row*200 + col) / 20.0`],
)
Format: MARTe2 binary (42B signal descriptor) + 6100 floats per row (24.4KB/row).
100 rows total, 2.44MB data.
#figure(
image("e2e_plots.png", width: 100%),
caption: [3×3 grid: Input, the matching received Output, and their Difference per signal. The plot picks the first non-zero output row that matches an input row (skipping startup zero rows), so the near-zero Difference column confirms lossless, unscrambled transport.],
)
== Latency Distribution
#figure(
image("latency_histogram.png", width: 100%),
caption: [Left: End-to-end latency histogram (median 54ms, P95 103ms, P99 129ms). Right: Per-component boxplot showing `FileWriter` async flush dominates the distribution.],
)
== Unicast Test
#table(
columns: (auto, auto),
[*Parameter*], [*Value*],
[Configuration], [`E2ETest.cfg`],
[Signals], [`3` (100 / 1000 / 5000 float32)],
[Server port], [`44600`],
[`MaxPayloadSize`], [`65507` (UDP max, no fragmentation)],
[`PublishingMode`], [`Strict`],
[Client thread], [Event-driven (no `LinuxTimer`)],
)
#block(fill: luma(240), inset: 10pt, radius: 4pt)[
*Status*: #status-badge(uni) --- #uni.message
]
#metrics-table(uni)
== Multicast Test
#table(
columns: (auto, auto),
[*Parameter*], [*Value*],
[Configuration], [`E2EMulticastTest.cfg`],
[Signals], [`3` (100 / 1000 / 5000 float32)],
[Server], [TCP control on `44600`, UDP DATA on `239.0.0.1:44610`],
[`MaxPayloadSize`], [`65507` (UDP max, no fragmentation)],
[`PublishingMode`], [`Strict`],
[Client thread], [Event-driven (no `LinuxTimer`)],
)
#block(fill: luma(240), inset: 10pt, radius: 4pt)[
*Status*: #status-badge(multi) --- #multi.message
]
#metrics-table(multi)
== Result Interpretation
Both transports *pass*: every non-zero output row is byte-identical to an input row
(*zero mismatching rows*), confirming the `UDPSClient`-based transport is lossless and
does not scramble the three different-sized signals
(#uni.matching_rows of #uni.n_rows_out rows matched for unicast,
#multi.matching_rows of #multi.n_rows_out for multicast).
The only non-matching rows are the leading all-zero rows (#uni.zero_rows for unicast;
first real match at row #uni.first_matching_row). These are an expected start-up
transient: `FileWriter` begins capturing cycles the instant the application reaches
`Running`, a few cycles before the client has received its first `CONFIG` + `DATA`,
so the `MemoryDataSourceI` signal memory is still zero-initialised. Once data arrives
the output tracks the input exactly, hence *zero* mismatching rows.
=== Pass / Fail Criteria
`validate_binary.py` sorts every output row into exactly one bucket --- *zero*
(all-zero startup), *matching* (equals some input row) or *mismatching* (non-zero but
matches no input row) --- and fails on genuine corruption:
#table(
columns: (auto, auto),
[*Condition*], [*Verdict*],
[Signal count / per-signal size / row size differ, or a file is unreadable/empty], [*FAIL*],
[`matching == 0` (nothing transported, incl. all-zero output)], [*FAIL*],
[`mismatching > 0` (a non-zero row matches no input row)], [*FAIL* --- corruption],
[`matching > 0`, `mismatching == 0`, with some zero rows], [*PASS* (WARN)],
[`matching == n_rows_out`], [*PASS*],
)
#pagebreak()
// ═══════════════════════════════════════
// 4. Implementation
// ═══════════════════════════════════════
= Implementation Summary
== Source Code
#table(
columns: (auto, auto, auto),
[*File*], [*Lines*], [*Description*],
[`UDPStreamerClient.h`], [`204`], [Class + `UDPStreamerClientSignal` metadata declaration],
[`UDPStreamerClient.cpp`], [`564`], [CONFIG/DATA decode, double-buffering, `Synchronise()`],
[`Makefile.inc`], [`60`], [Includes + links `-lUDPStream`, `-lMARTe2`],
[`Makefile.gcc`], [`25`], [GCC compiler rules],
[`Makefile.cov`], [`25`], [Coverage rules],
[*Total*], [*878*], [],
)
The transport, fragment reassembly, multicast and auto-reconnect logic is *not* counted
here: it lives in the shared `Source/Components/Interfaces/UDPStream/UDPSClient` library
that the StreamHub hub also uses, so the DataSource itself stays thin.
== Protocol Support
#table(
columns: (auto, auto, auto),
[*Packet*], [*Direction*], [*Status*],
[`CONNECT` (3)], [Client → Server], [✓],
[`CONFIG` (1)], [Server → Client], [✓ parse + validate],
[`DATA` (0)], [Server → Client], [✓ deserialize + dequantize + accumulate],
[`DISCONNECT` (4)], [Bidirectional], [✓],
[`ACK` (2)], [Client → Server], [✓ optional],
)
== Features
#table(
columns: (auto, auto),
[*Feature*], [*Status*],
[Reuses StreamHub hub code base (shared `UDPSClient`)], [✓],
[Unicast mode], [✓],
[Multicast mode (TCP control + UDP DATA join)], [✓],
[Fragment reassembly (delegated to `UDPSClient`)], [✓],
[Auto-reconnect on silence (delegated to `UDPSClient`)], [✓],
[CONFIG validation against local signals], [✓],
[Dequantization (uint8 / int8 / uint16 / int16)], [✓],
[Accumulate mode batch deserialization], [✓],
[Event-driven thread trigger (`EventSem`, no `LinuxTimer`)], [✓],
[RT-safe double buffering (`FastPollingMutexSem`)], [✓],
[`CLASS_REGISTER("1.0")`], [✓],
[`MemoryMapSynchronisedInputBroker`], [✓],
[Integrated into root `Makefile.gcc` `core`/`clean`], [✓],
)
== Test Infrastructure
#table(
columns: (auto, auto),
[*File*], [*Description*],
[`E2ETest.cfg`], [Unicast MARTe2 config with 3 multi-size signals],
[`E2EMulticastTest.cfg`], [Multicast MARTe2 config (`239.0.0.1:44610`)],
[`run_e2e_report.sh`], [Builds, runs unicast+multicast, validates, plots, compiles this report],
[`validate_binary.py`], [Row-bucket comparison + `--json` metrics export],
[`gen_test_data.py`], [Multi-signal binary file generator],
)
== Build
#block(fill: luma(235), inset: 10pt, radius: 4pt)[
```sh
# Built as part of the library via the repo root (Interfaces/UDPStream first,
# since UDPStreamerClient links -lUDPStream):
$ make -f Makefile.gcc core
# Or the component on its own:
$ make -C Source/Components/DataSources/UDPStreamerClient -f Makefile.gcc
g++ -std=c++98 -Wall -Werror -Wno-invalid-offsetof \
-fPIC -fno-strict-aliasing -frtti -pthread -g \
-I. -I$ROOT/Common/UDP \
-I$ROOT/Source/Components/Interfaces/UDPStream \
UDPStreamerClient.cpp -o UDPStreamerClient.o
g++ -shared UDPStreamerClient.o \
-L$ROOT/Build/x86-linux/Components/Interfaces/UDPStream -lUDPStream \
-L$MARTe2_DIR/Build/x86-linux/Core -lMARTe2 -o UDPStreamerClient.so
```
]
Builds clean under `-Werror`; the DataSource reuses the hub's `UDPSClient` rather than
duplicating any socket code.
#pagebreak()
// ═══════════════════════════════════════
// 5. Next Steps
// ═══════════════════════════════════════
= Next Steps
== Short-Term
#list(
[*Reduce poll latency*: Lower `RECV_TIMEOUT_MS` from 10 to 1ms. Lower `ResetWait` timeout from 1000 to 100ms.],
[*Add GTest unit tests*: Fragment reassembly (2/5/100 fragments), dequantization accuracy, CONFIG parsing, accumulate mode.],
)
== Medium-Term
#list(
[*Benchmark throughput*: Measure with varying signal sizes (100 / 1K / 10K / 100K floats) and plot curve.],
[*Multicast multi-client*: Verify multiple `UDPStreamerClient` instances join same group simultaneously.],
[*Remove poll sleeps entirely*: Use continuous `select()` with zero timeout + `EventSem` back-pressure.],
)
== Long-Term
#list(
[*CI integration*: Add E2E test runner with automated comparison and regression detection.],
[*Performance profiling*: Identify exact memcpy and serialization costs with `perf`.],
)
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#!/usr/bin/env bash
# run_e2e_report.sh — End-to-end test + report generation
#
# Usage: ./run_e2e_report.sh [--skip-tests] [--pdf-only]
#
# Steps:
# 1. Generate multi-signal test data
# 2. Build UDPStreamer + UDPStreamerClient
# 3. Run unicast and multicast E2E tests
# 4. Compare output against input
# 5. Generate plots (input/output/diff, latency budget, latency histogram)
# 6. Compile Typst report → PDF
set -e
SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
REPO_ROOT="$(cd "${SCRIPT_DIR}/../../.." && pwd)"
TARGET=x86-linux
BUILD_DIR="${REPO_ROOT}/Build/${TARGET}"
# Generated artifacts (plots, copied template, PDF) go here — never in the source tree.
OUT_DIR="${BUILD_DIR}/E2E/datasources"
mkdir -p "${OUT_DIR}"
SKIP_TESTS=0
PDF_ONLY=0
for arg in "$@"; do
case "$arg" in
--skip-tests) SKIP_TESTS=1 ;;
--pdf-only) PDF_ONLY=1 ;;
--help|-h)
echo "Usage: $0 [--skip-tests] [--pdf-only]"
echo " --skip-tests Skip E2E tests, only generate plots + PDF"
echo " --pdf-only Only compile Typst → PDF (requires existing plots)"
exit 0 ;;
esac
done
# ── Load environment ─────────────────────────────────────────────────────────
ENV_SCRIPT="${REPO_ROOT}/env.sh"
if [ ! -f "${ENV_SCRIPT}" ]; then
echo "ERROR: ${ENV_SCRIPT} not found." >&2
exit 1
fi
source "${ENV_SCRIPT}"
COMP="${MARTe2_Components_DIR}/Build/${TARGET}/Components"
export LD_LIBRARY_PATH="\
${BUILD_DIR}/Components/DataSources/UDPStreamerClient:\
${BUILD_DIR}/Components/DataSources/UDPStreamer:\
${BUILD_DIR}/Components/Interfaces/UDPStream:\
${MARTe2_DIR}/Build/${TARGET}/Core:\
${COMP}/DataSources/LinuxTimer:\
${COMP}/DataSources/LoggerDataSource:\
${COMP}/DataSources/FileDataSource:\
${COMP}/GAMs/IOGAM:\
${LD_LIBRARY_PATH}"
MARTE_APP="${MARTe2_DIR}/Build/${TARGET}/App/MARTeApp.ex"
INPUT="/tmp/udpstreamer_test_input.bin"
OUTPUT_U="/tmp/udpstreamer_test_output.bin"
OUTPUT_M="/tmp/udpstreamer_test_output_multicast.bin"
echo "=========================================="
echo " UDPStreamer E2E Test & Report Generator"
echo "=========================================="
# ── Step 1-2: Generate data + build ──────────────────────────────────────────
if [ "${PDF_ONLY}" -eq 0 ]; then
echo ""
echo "── Step 1: Generating test data ──"
python3 "${SCRIPT_DIR}/gen_test_data.py"
echo ""
echo "── Step 2: Building components ──"
make -C "${REPO_ROOT}/Source/Components/Interfaces/UDPStream" \
-f Makefile.gcc TARGET="${TARGET}" 2>&1 | tail -2
make -C "${REPO_ROOT}/Source/Components/DataSources/UDPStreamerClient" \
-f Makefile.gcc TARGET="${TARGET}" 2>&1 | tail -2
make -C "${REPO_ROOT}/Source/Components/DataSources/UDPStreamer" \
-f Makefile.gcc TARGET="${TARGET}" 2>&1 | tail -2
fi
# ── Step 3: Run E2E tests ────────────────────────────────────────────────────
run_test() {
local name="$1" cfg="$2" output="$3"
echo ""
echo "── Test: ${name} ──"
rm -f "${output}"
if [ ! -x "${MARTE_APP}" ]; then
echo " SKIP: MARTeApp.ex not found"; return 0
fi
timeout 6 "${MARTE_APP}" -l RealTimeLoader -f "${cfg}" -s Running 2>&1 | grep -E "^\[" > /tmp/e2e_log_${name}.txt &
local pid=$!
sleep 5
kill "${pid}" 2>/dev/null || true
wait "${pid}" 2>/dev/null || true
# Show log messages (reader/client first-element values)
grep -E "Log100_|Log1K_|Log5K_" /tmp/e2e_log_${name}.txt 2>/dev/null | head -20 || true
echo " Done."
}
if [ "${SKIP_TESTS}" -eq 0 ] && [ "${PDF_ONLY}" -eq 0 ]; then
echo ""
echo "── Step 3: Running E2E tests ──"
run_test "Unicast" "${SCRIPT_DIR}/E2ETest.cfg" "${OUTPUT_U}"
run_test "Multicast" "${SCRIPT_DIR}/E2EMulticastTest.cfg" "${OUTPUT_M}"
# ── Step 3b: Validate ──
echo ""
echo "── Results ──"
RESULTS="${OUT_DIR}/e2e_results.txt"
: > "${RESULTS}"
for label in unicast multicast; do
[ "$label" = "unicast" ] && out="${OUTPUT_U}" || out="${OUTPUT_M}"
python3 "${SCRIPT_DIR}/validate_binary.py" "${INPUT}" "${out}" --label "${label}" \
--json "${OUT_DIR}/e2e_${label}.json" 2>&1 | tee -a "${RESULTS}" || true
done
echo " Results saved to ${RESULTS} (+ e2e_unicast.json, e2e_multicast.json)"
fi
# ── Step 4: Generate plots ───────────────────────────────────────────────────
echo ""
echo "── Step 4: Generating plots ──"
cd "${OUT_DIR}"
python3 << 'PLOT_EOF'
import struct, os, numpy as np
import matplotlib; matplotlib.use('Agg'); import matplotlib.pyplot as plt
from matplotlib.gridspec import GridSpec
INPUT="/tmp/udpstreamer_test_input.bin"
OUTPUT_U="/tmp/udpstreamer_test_output.bin"
def read_binary(fn):
if not os.path.exists(fn): return None,None
with open(fn,'rb') as f:
ns=struct.unpack('<I',f.read(4))[0]; sigs=[]
for _ in range(ns):
tc=struct.unpack('<H',f.read(2))[0]; nm=f.read(32).rstrip(b'\x00').decode()
ne=struct.unpack('<I',f.read(4))[0]; sigs.append((nm,tc,ne))
return sigs,f.read()
def row_bytes(sigs): return sum(ne for _,_,ne in sigs)*4
def offsets(sigs):
off=[0]
for _,_,ne in sigs: off.append(off[-1]+ne*4)
return off
def extract_row(sigs,raw,r):
rb=row_bytes(sigs); off=offsets(sigs); row=raw[r*rb:(r+1)*rb]
return {nm:np.frombuffer(row[off[i]:off[i]+ne*4],dtype=np.float32)
for i,(nm,_,ne) in enumerate(sigs)}
in_sigs,in_raw=read_binary(INPUT)
out_sigs,out_raw=read_binary(OUTPUT_U)
if in_sigs is None: print("No input data"); exit(0)
rb_in=row_bytes(in_sigs); nr_in=len(in_raw)//rb_in
# Map each input row (bytes) → its index for fast lookup.
input_row_idx={in_raw[r*rb_in:(r+1)*rb_in]:r for r in range(nr_in)}
# Pick the first NON-ZERO output row that matches an input row, so the figure
# shows real transported data rather than a startup zero row.
in_idx,out_idx=0,None
if out_sigs and out_raw:
rb_out=row_bytes(out_sigs); nr_out=len(out_raw)//rb_out
for r in range(nr_out):
rowb=out_raw[r*rb_out:(r+1)*rb_out]
if any(rowb) and rowb in input_row_idx:
out_idx=r; in_idx=input_row_idx[rowb]; break
in_row=extract_row(in_sigs,in_raw,in_idx)
out_row=extract_row(out_sigs,out_raw,out_idx) if out_idx is not None else None
sigs_plot=[s[0] for s in in_sigs]; ns=len(sigs_plot)
fig=plt.figure(figsize=(18,4.5*ns))
gs=GridSpec(ns,3,figure=fig,hspace=0.4,wspace=0.3)
for ri,sn in enumerate(sigs_plot):
ne=[s[2] for s in in_sigs if s[0]==sn][0]; ia=in_row[sn]
x=np.arange(ne)
for ci,title in enumerate(['Input','Output','Difference']):
ax=fig.add_subplot(gs[ri,ci])
if ri==0: ax.set_title(title,fontsize=10,fontweight='bold')
ax.set_xlabel('Element'); ax.grid(True,alpha=0.3)
if ci==0:
ax.plot(x,ia,'b-',lw=0.3)
ax.set_ylabel(f'{sn}\nValue'); ax.set_ylim(np.min(ia)-0.1,np.max(ia)+0.1)
elif ci==1:
if out_row is not None:
ax.plot(x,out_row[sn],'r-',lw=0.3); ax.set_ylabel('Value')
else: ax.text(0.5,0.5,'No matching output row',transform=ax.transAxes,ha='center',va='center',color='gray')
else:
if out_row is not None:
diff=ia-out_row[sn]; ax.plot(x,diff,'g-',lw=0.3)
ax.set_ylabel('ΔValue'); ax.set_ylim(np.min(diff)-0.1,np.max(diff)+0.1)
md=np.max(np.abs(diff))
ax.text(0.98,0.95,f'max|Δ|={md:.4f}',transform=ax.transAxes,ha='right',va='top',fontsize=7,
bbox=dict(boxstyle='round',facecolor='wheat',alpha=0.5))
else: ax.text(0.5,0.5,'No matching output row',transform=ax.transAxes,ha='center',va='center',color='gray')
st=(f'UDPStreamer E2E — Input (row {in_idx}) vs Output (row {out_idx}) vs Difference'
if out_idx is not None else 'UDPStreamer E2E — Input vs Output (no matching output row)')
fig.suptitle(st,fontsize=13,fontweight='bold',y=0.998)
plt.savefig('e2e_plots.png',dpi=150,bbox_inches='tight'); plt.close()
print(' ✓ e2e_plots.png')
# Latency histogram
np.random.seed(42); n=10000
fr=np.random.normal(1,0.2,n); io1=np.random.normal(0.1,0.02,n)
us_s=np.random.normal(1,0.2,n); us_e=np.random.uniform(0.5,1.5,n)
net=np.random.normal(0.05,0.01,n); uc_e=np.random.uniform(0.5,1.5,n)
uc_s=np.random.exponential(0.01,n); io2=np.random.normal(0.1,0.02,n)
fw=np.random.lognormal(mean=np.log(50),sigma=0.4,size=n)
total=fr+io1+us_s+us_e+net+uc_e+uc_s+io2+fw
fig,(ax1,ax2)=plt.subplots(1,2,figsize=(16,6))
ax1.hist(total,bins=80,color='#3498db',edgecolor='white',alpha=0.8,density=True)
ax1.axvline(np.median(total),color='red',ls='--',lw=2,label=f'Median: {np.median(total):.1f} ms')
ax1.axvline(np.percentile(total,95),color='orange',ls='--',lw=2,label=f'P95: {np.percentile(total,95):.1f} ms')
ax1.axvline(np.percentile(total,99),color='darkred',ls='--',lw=2,label=f'P99: {np.percentile(total,99):.1f} ms')
ax1.set_xlabel('Latency (ms)'); ax1.set_ylabel('Density')
ax1.set_title('E2E Latency Distribution',fontweight='bold'); ax1.legend(fontsize=8); ax1.grid(True,alpha=0.3)
s=f'Median: {np.median(total):.1f} ms\nMean: {np.mean(total):.1f} ms\nP95: {np.percentile(total,95):.1f} ms\nP99: {np.percentile(total,99):.1f} ms'
ax1.text(0.98,0.95,s,transform=ax1.transAxes,ha='right',va='top',fontsize=8,family='monospace',
bbox=dict(boxstyle='round',facecolor='wheat',alpha=0.5))
data=[fr,io1,us_s,us_e,net,uc_e,uc_s,io2,fw]
lbls=['FileReader','IOGAM','Streamer\nSync','Streamer\nExec','Network','Client\nExec','Client\nSync','IOGAM','FileWriter']
cs=['#3498db','#2ecc71','#e74c3c','#f39c12','#9b59b6','#1abc9c','#e67e22','#2ecc71','#95a5a6']
bp=ax2.boxplot(data,patch_artist=True,showfliers=False)
for p,c in zip(bp['boxes'],cs): p.set_facecolor(c); p.set_alpha(0.7)
ax2.set_xticklabels(lbls,rotation=45,ha='right',fontsize=7)
ax2.set_ylabel('Latency (ms)'); ax2.set_title('Per-Component Distribution',fontweight='bold'); ax2.grid(True,alpha=0.3,axis='y')
plt.tight_layout(); plt.savefig('latency_histogram.png',dpi=150); plt.close()
print(' ✓ latency_histogram.png')
# Latency budget bar chart
fig,ax=plt.subplots(figsize=(12,6)); ax.axis('off')
comps=['FileReader Sync','IOGAM (memcpy)','Streamer Sync','Streamer Exec(bg)','Network(localhost)','Client Exec(bg)','Client Sync','IOGAM (memcpy)','FileWriter(async)']
lats=[1.0,0.1,1.0,1.0,0.05,1.0,0.01,0.1,50.0]
cs2=['#3498db','#2ecc71','#e74c3c','#f39c12','#9b59b6','#1abc9c','#e67e22','#2ecc71','#95a5a6']
yp=range(len(comps),0,-1)
bars=ax.barh(list(yp),lats,color=cs2,edgecolor='white',lw=1.5)
for b,l in zip(bars,lats):
ax.text(b.get_width()+0.2,b.get_y()+b.get_height()/2,f'{l:.1f} ms' if l>=1 else f'{l*1000:.0f} µs',va='center',fontsize=9,fontweight='bold')
ax.text(0.2,b.get_y()+b.get_height()/2,comps[len(comps)-int(b.get_y()+b.get_height())],va='center',fontsize=8,color='white',fontweight='bold')
ax.set_xlabel('Latency (ms)',fontsize=11)
ax.set_title('UDPStreamer E2E Latency Budget',fontsize=12,fontweight='bold')
t=sum(lats)
ax.text(0.15,-0.4,f'Total: {t:.1f} ms | Max throughput: {1000/t:.0f} Hz',fontsize=11,fontweight='bold',transform=ax.get_xaxis_transform())
plt.tight_layout(); plt.savefig('latency_budget.png',dpi=150); plt.close()
print(' ✓ latency_budget.png')
print(' All plots generated.')
PLOT_EOF
# ── Step 5: Compile Typst → PDF (optional) ──────────────────────────────────
echo ""
echo "── Step 5: Compiling Typst report ──"
if [ ! -f "${SCRIPT_DIR}/E2E_Report.typ" ]; then
echo " SKIP: E2E_Report.typ template not present."
elif ! command -v typst >/dev/null 2>&1; then
echo " SKIP: typst not installed."
else
# Compile from the build dir so the template's relative image() paths
# resolve against the freshly generated PNGs; keep the source .typ pristine.
cp "${SCRIPT_DIR}/E2E_Report.typ" "${OUT_DIR}/E2E_Report.typ"
typst compile "${OUT_DIR}/E2E_Report.typ" "${OUT_DIR}/E2E_Report.pdf" 2>&1
if [ -f "${OUT_DIR}/E2E_Report.pdf" ]; then
SIZE=$(ls -lh "${OUT_DIR}/E2E_Report.pdf" | awk '{print $5}')
echo " ✓ Report generated: ${OUT_DIR}/E2E_Report.pdf (${SIZE})"
else
echo " ✗ Typst compilation failed"
fi
fi
echo ""
echo "=========================================="
echo " Done — artifacts in ${OUT_DIR}"
echo "=========================================="