#!/usr/bin/env python

from __future__ import print_function

import argparse
import math
import os
import os.path
import re
import subprocess
import sys
from os.path import relpath

# Runs the benchmarks.
#
# It runs several benchmarks across several languages. For each
# benchmark/language pair, it runs a number of trials. Each trial is one run of
# a single benchmark script. It spawns a process and runs the script. The
# script itself is expected to output some result which this script validates
# to ensure the benchmark is running correctly. Then the benchmark prints an
# elapsed time. The benchmark is expected to do the timing itself and only time
# the interesting code under test.
#
# This script then runs several trials and takes the best score. (It does
# multiple trials to account for random variance in running time coming from
# OS, CPU rate-limiting, etc.) It takes the best time on the assumption that
# that represents the language's ideal performance and any variance coming from
# the OS will just slow it down.
#
# After running a series of trials the benchmark runner will compare all of the
# language's performance for a given benchmark. It compares by running time
# and score, which is just the inverse running time.
#
# For Wren benchmarks, it can also compare against a "baseline". That's a
# recorded result of a previous run of the Wren benchmarks. This is useful --
# critical, actually -- for seeing how Wren performance changes. Generating a
# set of baselines before a change to the VM and then comparing those to the
# performance after a change is how we track improvements and regressions.
#
# To generate a baseline file, run this script with "--generate-baseline".

WREN_DIR = os.path.dirname(os.path.dirname(os.path.realpath(__file__)))
WREN_BIN = os.path.join(WREN_DIR, 'bin')
BENCHMARK_DIR = os.path.join('test', 'benchmark')
BENCHMARK_DIR = relpath(BENCHMARK_DIR).replace("\\", "/")

# How many times to run a given benchmark.
NUM_TRIALS = 10

BENCHMARKS = []

def BENCHMARK(name, pattern):
  regex = re.compile(pattern + "\n" + r"elapsed: (\d+\.\d+)", re.MULTILINE)
  BENCHMARKS.append([name, regex, None])

BENCHMARK("api_call", "true")

BENCHMARK("api_foreign_method", "100000000")

BENCHMARK("binary_trees", """stretch tree of depth 13 check: -1
8192 trees of depth 4 check: -8192
2048 trees of depth 6 check: -2048
512 trees of depth 8 check: -512
128 trees of depth 10 check: -128
32 trees of depth 12 check: -32
long lived tree of depth 12 check: -1""")

BENCHMARK("binary_trees_gc", """stretch tree of depth 13 check: -1
8192 trees of depth 4 check: -8192
2048 trees of depth 6 check: -2048
512 trees of depth 8 check: -512
128 trees of depth 10 check: -128
32 trees of depth 12 check: -32
long lived tree of depth 12 check: -1""")

BENCHMARK("delta_blue", "14065400")

BENCHMARK("fib", r"""317811
317811
317811
317811
317811""")

BENCHMARK("fibers", r"""4999950000""")

BENCHMARK("for", r"""499999500000""")

BENCHMARK("method_call", r"""true
false""")

BENCHMARK("map_numeric", r"""2000001000000""")

BENCHMARK("map_string", r"""12799920000""")

BENCHMARK("string_equals", r"""3000000""")

LANGUAGES = [
  ("wren",           [os.path.join(WREN_BIN, 'wren_test')], ".wren"),
  ("dart",           ["fletch", "run"],                ".dart"),
  ("lua",            ["lua"],                          ".lua"),
  ("luajit (-joff)", ["luajit", "-joff"],              ".lua"),
  ("python",         ["python"],                       ".py"),
  ("ruby",           ["ruby"],                         ".rb")
]

results = {}

if sys.platform == 'win32':
  GREEN = NORMAL = RED = YELLOW = ''
else:
  GREEN = '\033[32m'
  NORMAL = '\033[0m'
  RED = '\033[31m'
  YELLOW = '\033[33m'

def green(text):
  return GREEN + text + NORMAL

def red(text):
  return RED + text + NORMAL

def yellow(text):
  return YELLOW + text + NORMAL


def get_score(time):
  """
  Converts time into a "score". This is the inverse of the time with an
  arbitrary scale applied to get the number in a nice range. The goal here is
  to have benchmark results where faster = bigger number.
  """
  return 1000.0 / time


def standard_deviation(times):
  """
  Calculates the standard deviation of a list of numbers.
  """
  mean = sum(times) / len(times)

  # Sum the squares of the differences from the mean.
  result = 0
  for time in times:
    result += (time - mean) ** 2

  return math.sqrt(result / len(times))


def run_trial(benchmark, language):
  """Runs one benchmark one time for one language."""
  executable_args = language[1]

  benchmark_path = os.path.join(BENCHMARK_DIR, benchmark[0] + language[2])
  benchmark_path = relpath(benchmark_path).replace("\\", "/")

  args = []
  args.extend(executable_args)
  args.append(benchmark_path)

  try:
    out = subprocess.check_output(args, universal_newlines=True)
  except OSError:
    print('Interpreter was not found')
    return None
  match = benchmark[1].match(out)
  if match:
    return float(match.group(1))
  else:
    print("Incorrect output:")
    print(out)
    return None


def run_benchmark_language(benchmark, language, benchmark_result):
  """
  Runs one benchmark for a number of trials for one language.

  Adds the result to benchmark_result, which is a map of language names to
  results.
  """

  name = "{0} - {1}".format(benchmark[0], language[0])
  print("{0:30s}".format(name), end=' ')

  bpath = os.path.join(BENCHMARK_DIR, benchmark[0] + language[2])
  if not os.path.exists(bpath):
    print("No implementation for this language: " + bpath)
    return

  times = []
  for i in range(0, NUM_TRIALS):
    sys.stdout.flush()
    time = run_trial(benchmark, language)
    if not time:
      return
    times.append(time)
    sys.stdout.write(".")

  best = min(times)
  score = get_score(best)

  comparison = ""
  if language[0] == "wren":
    if benchmark[2] != None:
      ratio = 100 * score / benchmark[2]
      comparison =  "{:6.2f}% relative to baseline".format(ratio)
      if ratio > 105:
        comparison = green(comparison)
      if ratio < 95:
        comparison = red(comparison)
    else:
      comparison = "no baseline"
  else:
    # Hack: assumes wren gets run first.
    wren_score = benchmark_result["wren"]["score"]
    ratio = 100.0 * wren_score / score
    comparison =  "{:6.2f}%".format(ratio)
    if ratio > 105:
      comparison = green(comparison)
    if ratio < 95:
      comparison = red(comparison)

  print(" {:4.2f}s {:4.4f} {:s}".format(
      best,
      standard_deviation(times),
      comparison))

  benchmark_result[language[0]] = {
    "desc": name,
    "times": times,
    "score": score
  }

  return score


def run_benchmark(benchmark, languages, graph):
  """Runs one benchmark for the given languages (or all of them)."""

  benchmark_result = {}
  results[benchmark[0]] = benchmark_result

  num_languages = 0
  for language in LANGUAGES:
    if not languages or language[0] in languages:
      num_languages += 1
      run_benchmark_language(benchmark, language, benchmark_result)

  if num_languages > 1 and graph:
    graph_results(benchmark_result)


def graph_results(benchmark_result):
  print()

  INCREMENT = {
    '-': 'o',
    'o': 'O',
    'O': '0',
    '0': '0'
  }

  # Scale everything by the highest score.
  highest = 0
  for language, result in benchmark_result.items():
    score = get_score(min(result["times"]))
    if score > highest: highest = score

  print("{0:30s}0 {1:66.0f}".format("", highest))
  for language, result in benchmark_result.items():
    line = ["-"] * 68
    for time in result["times"]:
      index = int(get_score(time) / highest * 67)
      line[index] = INCREMENT[line[index]]
    print("{0:30s}{1}".format(result["desc"], "".join(line)))
  print()


def read_baseline():
  baseline_file = os.path.join(BENCHMARK_DIR, "baseline.txt")
  if os.path.exists(baseline_file):
    with open(baseline_file) as f:
      for line in f.readlines():
        name, best = line.split(",")
        for benchmark in BENCHMARKS:
          if benchmark[0] == name:
            if not best.startswith("None"):
              benchmark[2] = float(best)
            else:
              benchmark[2] = 0.0


def generate_baseline():
  print("generating baseline")
  baseline_text = ""
  for benchmark in BENCHMARKS:
    best = run_benchmark_language(benchmark, LANGUAGES[0], {})
    baseline_text += ("{},{}\n".format(benchmark[0], best))

  # Write them to a file.
  baseline_file = os.path.join(BENCHMARK_DIR, "baseline.txt")
  with open(baseline_file, 'w') as out:
    out.write(baseline_text)


def print_html():
  '''Print the results as an HTML chart.'''

  def print_benchmark(benchmark, name):
    print('<h3>{}</h3>'.format(name))
    print('<table class="chart">')

    # Scale everything by the highest time.
    highest = 0
    for language, result in results[benchmark].items():
      time = min(result["times"])
      if time > highest: highest = time

    languages = sorted(results[benchmark].keys(),
        key=lambda lang: results[benchmark][lang]["score"], reverse=True)

    for language in languages:
      result = results[benchmark][language]
      time = float(min(result["times"]))
      ratio = int(100 * time / highest)
      css_class = "chart-bar"
      if language == "wren":
        css_class += " wren"
      print('  <tr>')
      print('    <th>{}</th><td><div class="{}" style="width: {}%;">{:4.2f}s&nbsp;</div></td>'.format(
          language, css_class, ratio, time))
      print('  </tr>')
    print('</table>')

  print_benchmark("method_call", "Method Call")
  print_benchmark("delta_blue", "DeltaBlue")
  print_benchmark("binary_trees", "Binary Trees")
  print_benchmark("fib", "Recursive Fibonacci")


def main():
  parser = argparse.ArgumentParser(description="Run the benchmarks")
  parser.add_argument("benchmark", nargs='?',
      default="all",
      help="The benchmark to run")
  parser.add_argument("--generate-baseline",
      action="store_true",
      help="Generate a baseline file")
  parser.add_argument("--graph",
      action="store_true",
      help="Display graph results.")
  parser.add_argument("-l", "--language",
      action="append",
      help="Which language(s) to run benchmarks for")
  parser.add_argument("--output-html",
      action="store_true",
      help="Output the results chart as HTML")

  args = parser.parse_args()

  if args.generate_baseline:
    generate_baseline()
    return

  read_baseline()

  # Run the benchmarks.
  for benchmark in BENCHMARKS:
    if benchmark[0] == args.benchmark or args.benchmark == "all":
      run_benchmark(benchmark, args.language, args.graph)

  if args.output_html:
    print_html()


main()