[Author Prev][Author Next][Thread Prev][Thread Next][Author Index][Thread Index]
[tor-commits] [onionperf/develop] Refine error codes into TOR or TGEN errors.
commit 4533b39591cc0a6df124e017366ea71343c842bf
Author: Karsten Loesing <karsten.loesing@xxxxxxx>
Date: Fri Jul 17 22:24:43 2020 +0200
Refine error codes into TOR or TGEN errors.
With this change we include more detailed error codes in visualization
output. In order to do so we map TGen transfers/streams to TorCtl
STREAM event details based on source ports and unix_ts_end timestamps.
This code reuses some concepts used in metrics-lib.
Implements tpo/metrics/onionperf#34218.
---
onionperf/analysis.py | 6 +++
onionperf/visualization.py | 107 +++++++++++++++++++++++++++------------------
2 files changed, 71 insertions(+), 42 deletions(-)
diff --git a/onionperf/analysis.py b/onionperf/analysis.py
index e269f6a..8fcc0a6 100644
--- a/onionperf/analysis.py
+++ b/onionperf/analysis.py
@@ -97,6 +97,12 @@ class OPAnalysis(Analysis):
except:
return None
+ def get_tor_streams(self, node):
+ try:
+ return self.json_db['data'][node]['tor']['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 80c0781..5e7f92b 100644
--- a/onionperf/visualization.py
+++ b/onionperf/visualization.py
@@ -54,50 +54,57 @@ class TGenVisualization(Visualization):
streams = []
for (analyses, label) in self.datasets:
for analysis in analyses:
- if analysis.json_db['version'] >= '3':
- for client in analysis.get_nodes():
- tgen_streams = analysis.get_tgen_streams(client)
- for stream_id, stream_data in tgen_streams.items():
- stream = {"id": stream_id, "label": label,
- "filesize_bytes": int(stream_data["stream_info"]["recvsize"]),
- "error_code": None}
- 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 "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 "elapsed_seconds" in stream_data:
- s = stream_data["elapsed_seconds"]
- # Explanation of the math below for computing Mbps: From stream_info/recvsize
- # and payload_progress_recv 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 stream_data["stream_info"]["recvsize"] == "5242880" and "0.2" in s["payload_progress_recv"]:
- stream["mbps"] = 4.194304 / (s["payload_progress_recv"]["0.2"] - s["payload_progress_recv"]["0.1"])
- 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)
- else:
- for client in analysis.get_nodes():
- tgen_transfers = analysis.get_tgen_transfers(client)
- for transfer_id, transfer_data in tgen_transfers.items():
+ for client in analysis.get_nodes():
+ tor_streams_by_source_port = {}
+ tor_streams = analysis.get_tor_streams(client)
+ for tor_stream in tor_streams.values():
+ if "source" in tor_stream and ":" in tor_stream["source"]:
+ source_port = tor_stream["source"].split(":")[1]
+ tor_streams_by_source_port.setdefault(source_port, []).append(tor_stream)
+ tgen_streams = analysis.get_tgen_streams(client)
+ tgen_transfers = analysis.get_tgen_transfers(client)
+ while tgen_streams or tgen_transfers:
+ error_code = None
+ source_port = None
+ unix_ts_end = None
+ # Explanation of the math below for computing Mbps: For 1 MiB and 5 MiB
+ # downloads we can extract 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 tgen_streams:
+ stream_id, stream_data = tgen_streams.popitem()
+ stream = {"id": stream_id, "label": label,
+ "filesize_bytes": int(stream_data["stream_info"]["recvsize"]),
+ "error_code": None}
+ 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 "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 "elapsed_seconds" in stream_data:
+ s = stream_data["elapsed_seconds"]
+ if stream_data["stream_info"]["recvsize"] == "5242880" and "0.2" in s["payload_progress_recv"]:
+ stream["mbps"] = 4.194304 / (s["payload_progress_recv"]["0.2"] - s["payload_progress_recv"]["0.1"])
+ if "error" in stream_data["transport_info"] and stream_data["transport_info"]["error"] != "NONE":
+ error_code = stream_data["transport_info"]["error"]
+ if "local" in stream_data["transport_info"] and len(stream_data["transport_info"]["local"].split(":")) > 2:
+ source_port = stream_data["transport_info"]["local"].split(":")[2]
+ if "unix_ts_end" in stream_data:
+ unix_ts_end = stream_data["unix_ts_end"]
+ if "unix_ts_start" in stream_data:
+ stream["start"] = datetime.datetime.utcfromtimestamp(stream_data["unix_ts_start"])
+ elif tgen_transfers:
+ transfer_id, transfer_data = tgen_transfers.popitem()
stream = {"id": transfer_id, "label": label,
- "filesize_bytes": transfer_data["filesize_bytes"],
- "error_code": None}
+ "filesize_bytes": transfer_data["filesize_bytes"],
+ "error_code": None}
stream["server"] = "onion" if ".onion:" in transfer_data["endpoint_remote"] else "public"
if "elapsed_seconds" in transfer_data:
s = transfer_data["elapsed_seconds"]
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"]:
stream["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"]:
@@ -107,11 +114,27 @@ class TGenVisualization(Visualization):
if "last_byte" in s:
stream["time_to_last_byte"] = s["last_byte"]
if "error_code" in transfer_data and transfer_data["error_code"] != "NONE":
- stream["error_code"] = transfer_data["error_code"]
+ error_code = transfer_data["error_code"]
+ if "endpoint_local" in transfer_data and len(transfer_data["endpoint_local"].split(":")) > 2:
+ source_port = transfer_data["endpoint_local"].split(":")[2]
+ if "unix_ts_end" in transfer_data:
+ unix_ts_end = transfer_data["unix_ts_end"]
if "unix_ts_start" in transfer_data:
stream["start"] = datetime.datetime.utcfromtimestamp(transfer_data["unix_ts_start"])
- streams.append(stream)
-
+ if error_code:
+ if error_code == "PROXY":
+ error_code_parts = ["TOR"]
+ else:
+ error_code_parts = ["TGEN", error_code]
+ if source_port and unix_ts_end:
+ for tor_stream in tor_streams_by_source_port[source_port]:
+ if abs(unix_ts_end - tor_stream["unix_ts_end"]) < 150.0:
+ if "failure_reason_local" in tor_stream:
+ error_code_parts.append(tor_stream["failure_reason_local"])
+ if "failure_reason_remote" in tor_stream:
+ error_code_parts.append(tor_stream["failure_reason_remote"])
+ stream["error_code"] = "/".join(error_code_parts)
+ streams.append(stream)
self.data = pd.DataFrame.from_records(streams, index="id")
def __plot_firstbyte_ecdf(self):
_______________________________________________
tor-commits mailing list
tor-commits@xxxxxxxxxxxxxxxxxxxx
https://lists.torproject.org/cgi-bin/mailman/listinfo/tor-commits