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# Copyright (C) 2022 The Qt Company Ltd.
# SPDX-License-Identifier: LicenseRef-Qt-Commercial OR GPL-3.0 WITH Qt-GPL-exception-1.0
import os
import io
import json
import pandas as pd
import zipfile as zf
def nsToMs(ns):
return ns / 1000000
def appendEvent(data, event):
data['processId'].append(event['pid'])
data['threadId'].append(event['tid'])
data['type'].append(event['ph'])
data['category'].append(event['cat'])
data['name'].append(event['name'])
data['begin'].append(nsToMs(event['ts']))
duration = 1.0
command = ""
counter = int(-1)
if event['cat'] == "Initialize":
command = "Initialize"
if "dur" in event['args']:
duration = nsToMs(event['args']['dur'])
if "name" in event['args']:
command = event["args"]["name"].split("::")[-1]
if "counter" in event['args']:
counter = event['args']['counter']
data['duration'].append(duration)
data['command'].append(command)
data['counter'].append(counter)
def readTraceFile(file):
pdata = {
"processId": [],
"processName": []
}
tdata = {
"threadId": [],
"threadName": []
}
data = {
"processId": [],
"threadId": [],
"type": [],
"category": [],
"name": [],
"begin": [],
"duration": [],
"command": [],
"counter": []
}
for event in json.loads(file)["traceEvents"]:
if event["ph"] == "M" and event["name"] == "process_name":
pdata["processId"].append(event["pid"])
pdata["processName"].append(event["args"]["name"])
elif event["ph"] == "M" and event["name"] == "thread_name":
tdata["threadId"].append(event["tid"])
tdata["threadName"].append(event["args"]["name"])
else:
appendEvent(data, event)
pdf = pd.DataFrame(pdata)
tdf = pd.DataFrame(tdata)
ddf = pd.DataFrame(data)
# Replace pid/tid with processName/threadName and sort.
df = ddf.merge(right=pdf).merge(right=tdf)
df.drop(inplace=True, columns=["processId", "threadId"])
df.sort_values("begin").reset_index(inplace=True, drop=True)
# Merge Begin/End rows
for idx, row in df.iterrows():
if row['type'] == 'B':
nextEndMask = (df['type']=='E') & (df.index>idx)
relatedMask = (df['category']==row['category']) & (df['name']==row['name'])
nextRelatedRow = df.loc[nextEndMask & relatedMask].head(1).squeeze()
if nextRelatedRow.empty:
df.loc[idx, 'duration'] = 1.0
else:
df.loc[idx, 'type'] = 'BE'
df.loc[idx, 'duration'] = nextRelatedRow['begin'] - row['begin']
# Make columns categorial
categories = ['type', 'category', 'name', 'command', 'processName', 'threadName']
df[categories] = df[categories].astype('category')
df.drop(df[ df['type']=='E'].index, inplace=True)
df.reset_index(inplace=True, drop=True)
return df
def computePuppetOffset(dfd, dfp):
puppetSyncWriteMask = (dfp['category'] == "Sync") & (dfp['name']=="writeCommand") & (dfp['type']=="I")
puppetSyncWriteDf = dfp.loc[ puppetSyncWriteMask ].head(1)
puppetSyncWriteRow = puppetSyncWriteDf.squeeze()
if puppetSyncWriteDf.empty: return 0.0
cmdName = puppetSyncWriteRow['command']
puppetSyncReadMask = (dfp['category'] == "Sync") & (dfp['name']=="readCommand") & (dfp['command']==cmdName)
puppetSyncReadDf = dfp.loc[ puppetSyncReadMask ].head(1)
puppetSyncReadRow = puppetSyncReadDf.squeeze()
if puppetSyncReadDf.empty: return 0.0
designerSyncReadMask = (dfd['category'] == "Sync") & (dfd['name']=="readCommand") & (dfd['command']==cmdName)
designerSyncWriteDf = dfd.loc[ designerSyncReadMask ].head(1)
designerSyncWriteRow = designerSyncWriteDf.squeeze()
if designerSyncWriteDf.empty: return 0.0
puppetCenter = puppetSyncReadRow['begin'] - puppetSyncWriteRow['begin']
return designerSyncWriteRow['begin'] - puppetCenter
def SynchronizeDataframes(dfs):
dfd = dfs['QmlDesigner']
dfe = dfs['Puppet']['Editor']
dfp = dfs['Puppet']['Preview']
dfr = dfs['Puppet']['Render']
dfe['begin'] = dfe['begin'] + computePuppetOffset(dfd, dfe)
dfp['begin'] = dfp['begin'] + computePuppetOffset(dfd, dfp)
dfr['begin'] = dfr['begin'] + computePuppetOffset(dfd, dfr)
return dfs
def collectDataframes(dfs):
out = { "QmlDesigner": {}, "Puppet": { "Editor": {}, "Preview": {}, "Render": {} } }
for df in dfs:
if not df.empty:
df = df.sort_values(by="threadName", ascending=True)
if df['processName'][0] == 'QmlDesigner':
out['QmlDesigner'] = df.sort_index()
elif df['processName'][0] == 'EditorModePuppet':
out['Puppet']['Editor'] = df.sort_index()
elif df['processName'][0] == 'PreviewModePuppet':
out['Puppet']['Preview'] = df.sort_index()
elif df['processName'][0] == 'RenderModePuppet':
out['Puppet']['Render'] = df.sort_index()
return SynchronizeDataframes(out)
def hasExtension(filename, ext):
name, e = os.path.splitext(filename)
return True if e == ext else False
def extractZipArchive(zip_file):
dfs = []
for filename in zip_file.namelist():
invalid = filename.startswith('__MACOSX')
if not invalid and hasExtension(filename, ".json"):
with zip_file.open(filename) as file_object:
data = file_object.read().strip()
dfs.append(readTraceFile(data))
return collectDataframes(dfs)
def openZipArchive(data):
zip_str = io.BytesIO(data)
try:
with zf.ZipFile(zip_str, 'r') as zip_file:
return extractZipArchive(zip_file)
except IOError:
print("Failed to open zip file: \"" + path + "\"")
sys.exit(2)
def readZipArchive(path):
try:
with zf.ZipFile(path) as zip_file:
return extractZipArchive(zip_file)
except IOError:
print("Failed to read zip file: \"" + path + "\"")
sys.exit(2)
def openTraceFile(path):
try:
with open(path, "r") as file_object:
return readTraceFile(file_object.read())
except IOError:
print("Failed to open file: \"" + path + "\"")
sys.exit(2)
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