Then all tagged (released) versions of zstd are compiled.
In the following step interoperability between zstd versions is checked.
+#### `automated-benchmarking.py` - script for benchmarking zstd prs to dev
+
+This script benchmarks facebook:dev and changes from pull requests made to zstd and compares
+them against facebook:dev to detect regressions. This script currently runs on a dedicated
+desktop machine for every pull request that is made to the zstd repo but can also
+be run on any machine via the command line interface.
+
+There are three modes of usage for this script: fastmode will just run a minimal single
+build comparison (between facebook:dev and facebook:master), onetime will pull all the current
+pull requests from the zstd repo and compare facebook:dev to all of them once, continuous
+will continuously get pull requests from the zstd repo and run benchmarks against facebook:dev.
+
+```
+Example usage: python automated_benchmarking.py golden-compression 1 current 1 "" 60
+```
+
+```
+usage: automated_benchmarking.py [-h] directory levels mode emails
+
+positional arguments:
+ directory directory with files to benchmark
+ levels levels to test eg ('1,2,3')
+ mode 'fastmode', 'onetime', 'current' or 'continuous'
+ iterations number of benchmark iterations to run
+ emails email addresses of people who will be alerted upon regression.
+ Only for continuous mode
+ frequency specifies the number of seconds to wait before each successive
+ check for new PRs in continuous mode
+```
#### `test-zstd-speed.py` - script for testing zstd speed difference between commits
+DEPRECATED
+
This script creates `speedTest` directory to which zstd repository is cloned.
Then it compiles all branches of zstd and performs a speed benchmark for a given list of files (the `testFileNames` parameter).
After `sleepTime` (an optional parameter, default 300 seconds) seconds the script checks repository for new commits.
--- /dev/null
+import argparse
+import glob
+import json
+import os
+import time
+import pickle as pk
+import subprocess
+import urllib.request
+
+
+GITHUB_API_PR_URL = "https://api.github.com/repos/facebook/zstd/pulls?state=open"
+GITHUB_URL_TEMPLATE = "https://github.com/{}/zstd"
+MASTER_BUILD = {"user": "facebook", "branch": "dev", "hash": None}
+
+# check to see if there are any new PRs every minute
+DEFAULT_MAX_API_CALL_FREQUENCY_SEC = 60
+PREVIOUS_PRS_FILENAME = "prev_prs.pk"
+
+# Not sure what the threshold for triggering alarms should be
+# 1% regression sounds like a little too sensitive but the desktop
+# that I'm running it on is pretty stable so I think this is fine
+CSPEED_REGRESSION_TOLERANCE = 0.01
+DSPEED_REGRESSION_TOLERANCE = 0.01
+
+
+def get_new_open_pr_builds(prev_state=True):
+ prev_prs = None
+ if os.path.exists(PREVIOUS_PRS_FILENAME):
+ with open(PREVIOUS_PRS_FILENAME, "rb") as f:
+ prev_prs = pk.load(f)
+ data = json.loads(urllib.request.urlopen(GITHUB_API_PR_URL).read().decode("utf-8"))
+ prs = {
+ d["url"]: {
+ "user": d["user"]["login"],
+ "branch": d["head"]["ref"],
+ "hash": d["head"]["sha"].strip(),
+ }
+ for d in data
+ }
+ with open(PREVIOUS_PRS_FILENAME, "wb") as f:
+ pk.dump(prs, f)
+ if not prev_state or prev_prs == None:
+ return list(prs.values())
+ return [pr for url, pr in prs.items() if url not in prev_prs or prev_prs[url] != pr]
+
+
+def get_latest_hashes():
+ tmp = subprocess.run(["git", "log", "-1"], stdout=subprocess.PIPE).stdout.decode(
+ "utf-8"
+ )
+ sha1 = tmp.split("\n")[0].split(" ")[1]
+ tmp = subprocess.run(
+ ["git", "show", "{}^1".format(sha1)], stdout=subprocess.PIPE
+ ).stdout.decode("utf-8")
+ sha2 = tmp.split("\n")[0].split(" ")[1]
+ tmp = subprocess.run(
+ ["git", "show", "{}^2".format(sha1)], stdout=subprocess.PIPE
+ ).stdout.decode("utf-8")
+ sha3 = "" if len(tmp) == 0 else tmp.split("\n")[0].split(" ")[1]
+ return [sha1.strip(), sha2.strip(), sha3.strip()]
+
+
+def get_builds_for_latest_hash():
+ hashes = get_latest_hashes()
+ for b in get_new_open_pr_builds(False):
+ if b["hash"] in hashes:
+ return [b]
+ return []
+
+
+def clone_and_build(build):
+ if build["user"] != None:
+ github_url = GITHUB_URL_TEMPLATE.format(build["user"])
+ os.system(
+ """
+ rm -rf zstd-{user}-{sha} &&
+ git clone {github_url} zstd-{user}-{sha} &&
+ cd zstd-{user}-{sha} &&
+ {checkout_command}
+ make &&
+ cd ../
+ """.format(
+ user=build["user"],
+ github_url=github_url,
+ sha=build["hash"],
+ checkout_command="git checkout {} &&".format(build["hash"])
+ if build["hash"] != None
+ else "",
+ )
+ )
+ return "zstd-{user}-{sha}/zstd".format(user=build["user"], sha=build["hash"])
+ else:
+ os.system("cd ../ && make && cd tests")
+ return "../zstd"
+
+
+def benchmark_single(executable, level, filename):
+ tmp = (
+ subprocess.run(
+ [executable, "-qb{}".format(level), filename], stderr=subprocess.PIPE
+ )
+ .stderr.decode("utf-8")
+ .split(" ")
+ )
+ idx = [i for i, d in enumerate(tmp) if d == "MB/s"]
+ return [float(tmp[idx[0] - 1]), float(tmp[idx[1] - 1])]
+
+
+def benchmark_n(executable, level, filename, n):
+ speeds_arr = [benchmark_single(executable, level, filename) for _ in range(n)]
+ cspeed, dspeed = max(b[0] for b in speeds_arr), max(b[1] for b in speeds_arr)
+ print(
+ "Bench (executable={} level={} filename={}, iterations={}):\n\t[cspeed: {} MB/s, dspeed: {} MB/s]".format(
+ os.path.basename(executable),
+ level,
+ os.path.basename(filename),
+ n,
+ cspeed,
+ dspeed,
+ )
+ )
+ return (cspeed, dspeed)
+
+
+def benchmark(build, filenames, levels, iterations):
+ executable = clone_and_build(build)
+ return [
+ [benchmark_n(executable, l, f, iterations) for f in filenames] for l in levels
+ ]
+
+
+def get_regressions(baseline_build, test_build, iterations, filenames, levels):
+ old = benchmark(baseline_build, filenames, levels, iterations)
+ new = benchmark(test_build, filenames, levels, iterations)
+ regressions = []
+ for j, level in enumerate(levels):
+ for k, filename in enumerate(filenames):
+ old_cspeed, old_dspeed = old[j][k]
+ new_cspeed, new_dspeed = new[j][k]
+ cspeed_reg = (old_cspeed - new_cspeed) / old_cspeed
+ dspeed_reg = (old_dspeed - new_dspeed) / old_dspeed
+ baseline_label = "{}:{} ({})".format(
+ baseline_build["user"], baseline_build["branch"], baseline_build["hash"]
+ )
+ test_label = "{}:{} ({})".format(
+ test_build["user"], test_build["branch"], test_build["hash"]
+ )
+ if cspeed_reg > CSPEED_REGRESSION_TOLERANCE:
+ regressions.append(
+ "[COMPRESSION REGRESSION] (level={} filename={})\n\t{} -> {}\n\t{} -> {} ({:0.2f}%)".format(
+ level,
+ filename,
+ baseline_label,
+ test_label,
+ old_cspeed,
+ new_cspeed,
+ cspeed_reg * 100.0,
+ )
+ )
+ if dspeed_reg > DSPEED_REGRESSION_TOLERANCE:
+ regressions.append(
+ "[DECOMPRESSION REGRESSION] (level={} filename={})\n\t{} -> {}\n\t{} -> {} ({:0.2f}%)".format(
+ level,
+ filename,
+ baseline_label,
+ test_label,
+ old_dspeed,
+ new_dspeed,
+ dspeed_reg * 100.0,
+ )
+ )
+ return regressions
+
+def main(filenames, levels, iterations, builds=None, emails=None, continuous=False, frequency=DEFAULT_MAX_API_CALL_FREQUENCY_SEC):
+ if builds == None:
+ builds = get_new_open_pr_builds()
+ while True:
+ for test_build in builds:
+ regressions = get_regressions(
+ MASTER_BUILD, test_build, iterations, filenames, levels
+ )
+ body = "\n".join(regressions)
+ if len(regressions) > 0:
+ if emails != None:
+ os.system(
+ """
+ echo "{}" | mutt -s "[zstd regression] caused by new pr" {}
+ """.format(
+ body, emails
+ )
+ )
+ print("Emails sent to {}".format(emails))
+ print(body)
+ if not continuous:
+ break
+ time.sleep(frequency)
+
+
+if __name__ == "__main__":
+ parser = argparse.ArgumentParser()
+ parser.add_argument(
+ "directory", help="directory with files to benchmark", default="fuzz"
+ )
+ parser.add_argument("levels", help="levels to test eg ('1,2,3')", default="1,2,3")
+ parser.add_argument(
+ "mode", help="'fastmode', 'onetime', 'current' or 'continuous'", default="onetime"
+ )
+ parser.add_argument(
+ "iterations", help="number of benchmark iterations to run", default=5
+ )
+ parser.add_argument(
+ "emails",
+ help="email addresses of people who will be alerted upon regression. Only for continuous mode",
+ default=None,
+ )
+ parser.add_argument(
+ "frequency",
+ help="specifies the number of seconds to wait before each successive check for new PRs in continuous mode",
+ default=DEFAULT_MAX_API_CALL_FREQUENCY_SEC
+ )
+
+ args = parser.parse_args()
+ filenames = glob.glob("{}/**".format(args.directory))
+ levels = [int(l) for l in args.levels.split(",")]
+ mode = args.mode
+ iterations = int(args.iterations)
+ emails = args.emails
+ frequency = int(args.frequency)
+
+ if mode == "onetime":
+ main(filenames, levels, iterations, frequency=frequency)
+ elif mode == "current":
+ builds = [{"user": None, "branch": "None", "hash": None}]
+ main(filenames, levels, iterations, builds, frequency=frequency)
+ elif mode == "fastmode":
+ builds = [{"user": "facebook", "branch": "master", "hash": None}]
+ main(filenames, levels, iterations, builds, frequency=frequency)
+ else:
+ main(filenames, levels, iterations, None, emails, True, frequency=frequency)