#!/bin/bash
source ../common.sh

# This experiment is intended to document how the level of concurrent requests influence the latency, throughput, and success/failure rate
# Use -d flag if running under gdb

timestamp=$(date +%s)
experiment_directory=$(pwd)
binary_directory=$(cd ../../bin && pwd)
results_directory="$experiment_directory/res/$timestamp"
log=log.txt

mkdir -p "$results_directory"

log_environment >>"$results_directory/$log"

# Start the runtime
if [ "$1" != "-d" ]; then
  PATH="$binary_directory:$PATH" LD_LIBRARY_PATH="$binary_directory:$LD_LIBRARY_PATH" sledgert "$experiment_directory/spec.json" >>"$results_directory/$log" 2>>"$results_directory/$log" &
  sleep 1
else
  echo "Running under gdb"
  echo "Running under gdb" >>"$results_directory/$log"
fi
payloads=(fivebyeight/5x8 handwriting/handwrt1 hyde/hyde)
ports=(10000 10001 10002)
iterations=1000

# Execute workloads long enough for runtime to learn excepted execution time
echo -n "Running Samples: "
for i in {0..2}; do
  hey -n 200 -c 3 -q 200 -o csv -m GET -D "$experiment_directory/${payloads[$i]}.pnm" "http://localhost:${ports[$i]}"
done
sleep 1
echo "[DONE]"

# Execute the experiments
echo "Running Experiments"
for i in {0..2}; do
  printf "\t%s Payload: " "${payloads[$i]}"
  file=$(echo "${payloads[$i]}" | awk -F/ '{print $2}').csv
  hey -n "$iterations" -c 3 -cpus 2 -o csv -m GET -D "$experiment_directory/${payloads[$i]}.pnm" "http://localhost:${ports[$i]}" >"$results_directory/$file"
  echo "[DONE]"
done

# Stop the runtime

if [ "$1" != "-d" ]; then
  sleep 5
  kill_runtime
fi

# Generate *.csv and *.dat results
echo -n "Parsing Results: "

printf "Concurrency,Success_Rate\n" >>"$results_directory/success.csv"
printf "Concurrency,Throughput\n" >>"$results_directory/throughput.csv"
printf "Con,p50,p90,p99,p100\n" >>"$results_directory/latency.csv"

for payload in ${payloads[*]}; do
  # Calculate Success Rate for csv
  file=$(echo "$payload" | awk -F/ '{print $2}')
  awk -F, '
    $7 == 200 {ok++}
    END{printf "'"$file"',%3.5f\n", (ok / '"$iterations"' * 100)}
  ' <"$results_directory/$file.csv" >>"$results_directory/success.csv"

  # Filter on 200s, convery from s to ms, and sort
  awk -F, '$7 == 200 {print ($1 * 1000)}' <"$results_directory/$file.csv" |
    sort -g >"$results_directory/$file-response.csv"

  # Get Number of 200s
  oks=$(wc -l <"$results_directory/$file-response.csv")
  ((oks == 0)) && continue # If all errors, skip line

  # Get Latest Timestamp
  duration=$(tail -n1 "$results_directory/$file.csv" | cut -d, -f8)
  throughput=$(echo "$oks/$duration" | bc)
  printf "%s,%f\n" "$file" "$throughput" >>"$results_directory/throughput.csv"

  # Generate Latency Data for csv
  awk '
    BEGIN {
      sum = 0
      p50 = int('"$oks"' * 0.5)
      p90 = int('"$oks"' * 0.9)
      p99 = int('"$oks"' * 0.99)
      p100 = '"$oks"'
      printf "'"$file"',"
    }   
    NR==p50 {printf "%1.4f,", $0}
    NR==p90 {printf "%1.4f,", $0}
    NR==p99 {printf "%1.4f,", $0}
    NR==p100 {printf "%1.4f\n", $0}
  ' <"$results_directory/$file-response.csv" >>"$results_directory/latency.csv"

  # Delete scratch file used for sorting/counting
  rm -rf "$results_directory/$file-response.csv"
done

# Transform csvs to dat files for gnuplot
for file in success latency throughput; do
  echo -n "#" >"$results_directory/$file.dat"
  tr ',' ' ' <"$results_directory/$file.csv" | column -t >>"$results_directory/$file.dat"
done

# Generate gnuplots
generate_gnuplots

# Cleanup, if requires
echo "[DONE]"