commit 1b6c211ea77c7ba7f96c0cc53e7d392b9f6eb1b7 Author: Ana Custura ana@netstat.org.uk Date: Thu Jul 9 15:33:39 2020 +0100

Updates visualization code to use new dictionary structure --- onionperf/analysis.py | 7 +++++++ onionperf/visualization.py | 44 +++++++++++++++++++++----------------------- 2 files changed, 28 insertions(+), 23 deletions(-)

diff --git a/onionperf/analysis.py b/onionperf/analysis.py index 245d9ae..64b4b5b 100644 --- a/onionperf/analysis.py +++ b/onionperf/analysis.py @@ -92,6 +92,13 @@ class OPAnalysis(Analysis):

logging.info("done!")

+ + def get_tgen_streams(self, node): + try: + return self.json_db['data'][node]['tgen']['streams'] + except: + return None + @classmethod def load(cls, filename="onionperf.analysis.json.xz", input_prefix=os.getcwd()): filepath = os.path.abspath(os.path.expanduser("{0}".format(filename))) diff --git a/onionperf/visualization.py b/onionperf/visualization.py index 0a2a9d9..48c837b 100644 --- a/onionperf/visualization.py +++ b/onionperf/visualization.py @@ -51,38 +51,36 @@ class TGenVisualization(Visualization): self.page.close()

def __extract_data_frame(self): - transfers = [] + streams = [] for (analyses, label) in self.datasets: for analysis in analyses: for client in analysis.get_nodes(): - tgen_transfers = analysis.get_tgen_transfers(client) - for transfer_id, transfer_data in tgen_transfers.items(): - transfer = {"transfer_id": transfer_id, "label": label, - "filesize_bytes": transfer_data["filesize_bytes"], - "error_code": None} - transfer["server"] = "onion" if ".onion:" in transfer_data["endpoint_remote"] else "public" - if "elapsed_seconds" in transfer_data: - s = transfer_data["elapsed_seconds"] + tgen_streams = analysis.get_tgen_streams(client) + for stream_id, stream_data in tgen_streams.items(): + stream = {"stream_id": stream_id, "label": label, + "filesize_bytes": stream_data["stream_info"]["recvsize"]} + stream["server"] = "onion" if ".onion:" in stream_data["transport_info"]["remote"] else "public" + if "time_info" in stream_data: + s = stream_data["time_info"] if "payload_progress" in s: # Explanation of the math below for computing Mbps: From filesize_bytes # and payload_progress fields we can compute the number of seconds that # have elapsed between receiving bytes 524,288 and 1,048,576, which is a # total amount of 524,288 bytes or 4,194,304 bits or 4.194304 megabits. # We want the reciprocal of that value with unit megabits per second. - if transfer_data["filesize_bytes"] == 1048576 and "1.0" in s["payload_progress"]: - transfer["mbps"] = 4.194304 / (s["payload_progress"]["1.0"] - s["payload_progress"]["0.5"]) - if transfer_data["filesize_bytes"] == 5242880 and "0.2" in s["payload_progress"]: - transfer["mbps"] = 4.194304 / (s["payload_progress"]["0.2"] - s["payload_progress"]["0.1"]) - if "first_byte" in s: - transfer["time_to_first_byte"] = s["first_byte"] - if "last_byte" in s: - transfer["time_to_last_byte"] = s["last_byte"] - if "error_code" in transfer_data and transfer_data["error_code"] != "NONE": - transfer["error_code"] = transfer_data["error_code"] - if "unix_ts_start" in transfer_data: - transfer["start"] = datetime.datetime.utcfromtimestamp(transfer_data["unix_ts_start"]) - transfers.append(transfer) - self.data = pd.DataFrame.from_records(transfers, index="transfer_id") + if stream_data["stream_info"]["recv_size"] == 5242880 and "0.2" in s["elapsed_seconds"]["payload_progress_recv"]: + stream["mbps"] = 4.194304 / (s["elapsed_seconds"]["payload_progress_recv"]["0.2"] - s["elapsed_seconds"]["payload_progress_recv"]["0.1"]) + + if "usecs-to-first-byte-recv" in s: + stream["time_to_first_byte"] = float(s["usecs-to-first-byte-recv"])/1000000 + if "usecs-to-last-byte-recv" in s: + stream["time_to_last_byte"] = float(s["usecs-to-last-byte-recv"])/1000000 + if "error" in stream_data["transport_info"] and stream_data["transport_info"]["error"] != "NONE": + stream["error_code"] = stream_data["transport_info"]["error"] + if "unix_ts_start" in stream_data: + stream["start"] = datetime.datetime.utcfromtimestamp(stream_data["unix_ts_start"]) + streams.append(stream) + self.data = pd.DataFrame.from_records(streams, index="stream_id")

def __plot_firstbyte_ecdf(self): for server in self.data["server"].unique():