def run(*args):
forced_dates = verifyForcedDates(args)
anadayList = dayList(backlog_days, forced_dates)
datapath = getDataPath()
if datapath is None:
print('ERROR: No data path found, aborting!')
import sys
sys.exit(1)
os.chdir(datapath);
# Get platforms
results = getFromAPI('Platforms')
platforms = []
for plt in results:
platforms.append(plt["name"])
# Get a minimum start date older than any needed below:
# 1) First element in the anadayList is the earlist day we build stuff for.
# 2) For unknown channels, getMaxBuildAge returns a larger age value than for anything else.
earliest_mindate = dayStringBeforeDelta(anadayList[0], getMaxBuildAge('none'))
# Get all possibly needed versions for all products we look for.
all_versions = getFromAPI('ProductVersions', {
'product': prodchannels.keys(),
'start_date': '>' + earliest_mindate,
'is_rapid_beta': 'false',
})['hits']
# By-type daily data
for (product, channels) in prodchannels.items():
for channel in channels:
fprodtypedata = product + '-' + channel + '-crashes-bytype.json'
try:
with open(fprodtypedata, 'r') as infile:
print('Read stored ' + product + ' ' + channel.capitalize() + ' per-type data')
prodtypedata = json.load(infile)
except IOError:
prodtypedata = {}
maxday = None
max_build_age = getMaxBuildAge(channel, True)
for anaday in anadayList:
# Do not fetch data when we already have data for this day (unless it's a forced date).
if anaday not in forced_dates and anaday in prodtypedata and prodtypedata[anaday]['adi']:
continue
print('Fetching ' + product + ' ' + channel.capitalize() + ' per-type daily data for ' + anaday)
# Could use build ID and directly go to Super Search but then we'd need to be able to match ADI with build IDs.
# For now, we don't use that and query versions instead. This would need a False flag on getMaxBuildAge.
#min_buildid = (datetime.datetime.strptime(anaday, '%Y-%m-%d') - max_build_age).strftime('%Y%m%d000000')
# Get version list for this day, product and channel.
# This can contain more versions that we have data for, so don't exactly put this into the output!
min_verstartdate = dayStringBeforeDelta(anaday, max_build_age)
versions = []
verinfo = {}
for ver in all_versions:
if ver['product'] == product and ver['build_type'] == channel and ver['start_date'] > min_verstartdate:
versions.append(ver['version'])
verinfo[ver['version']] = {'tfactor': 100 / ver['throttle']}
# Get ADI data.
adi = {}
results = getFromAPI('ADI', {
'product': product,
'versions': versions,
'start_date': anaday,
'end_date': anaday,
'platforms': platforms,
})
if not 'hits' in results:
if 'error' in results:
print('ERROR: ' + results['error'])
else:
print('ERROR: could not fetch ADI correctly!')
continue
for adidata in results['hits']:
adi[adidata['version']] = adidata['adi_count']
# Get crash data.
results = getFromAPI('SuperSearch', {
'product': product,
'version': versions,
'date': ['>=' + anaday,
'<' + dayStringAdd(anaday, days=1)],
'_aggs.version': ['process_type', 'plugin_hang'],
'_results_number': 0,
})
if not 'facets' in results or not 'version' in results['facets']:
if 'error' in results:
print('ERROR: ' + results['error'])
else:
print('ERROR: no versions facet present!')
continue
bytypedata = { 'versions': [], 'adi': 0, 'crashes': {}}
for vdata in results['facets']['version']:
# only add the count for this version if the version has ADI.
if vdata['term'] in versions and vdata['term'] in adi:
bytypedata['versions'].append(vdata['term'])
bytypedata['adi'] += adi[vdata['term']]
nonbrowser = 0
for hdata in vdata['facets']['plugin_hang']:
if hdata['term'] == 'T':
if 'Hang Plugin' not in bytypedata['crashes']:
bytypedata['crashes']['Hang Plugin'] = 0
bytypedata['crashes']['Hang Plugin'] += hdata['count'] * verinfo[vdata['term']]['tfactor']
for pdata in vdata['facets']['process_type']:
if pdata['term'] == 'plugin':
pname = 'OOP Plugin'
else:
pname = pdata['term'].capitalize()
if pname not in bytypedata['crashes']:
bytypedata['crashes'][pname] = 0
bytypedata['crashes'][pname] += pdata['count'] * verinfo[vdata['term']]['tfactor']
nonbrowser += pdata['count']
if 'Browser' not in bytypedata['crashes']:
bytypedata['crashes']['Browser'] = 0
bytypedata['crashes']['Browser'] += (vdata['count'] - nonbrowser) * verinfo[vdata['term']]['tfactor']
if 'OOP Plugin' in bytypedata['crashes'] and 'Hang Plugin' in bytypedata['crashes']:
bytypedata['crashes']['OOP Plugin'] -= bytypedata['crashes']['Hang Plugin']
bytypedata['versions'].sort()
if bytypedata['adi']:
prodtypedata[anaday] = bytypedata
# Sort and write data back to the file.
ptd_sorted = OrderedDict(sorted(prodtypedata.items(), key=lambda t: t[0]))
with open(fprodtypedata, 'w') as outfile:
json.dump(ptd_sorted, outfile)
def run(*args):
forced_dates = verifyForcedDates(args)
anadayList = dayList(backlog_days, forced_dates)
datapath = getDataPath()
if datapath is None:
print('ERROR: No data path found, aborting!')
import sys
sys.exit(1)
os.chdir(datapath)
# Get platforms
results = getFromAPI('Platforms')
platforms = []
for plt in results:
platforms.append(plt["name"])
# Get a minimum start date older than any needed below:
# 1) First element in the anadayList is the earlist day we build stuff for.
# 2) For unknown channels, getMaxBuildAge returns a larger age value than for anything else.
earliest_mindate = dayStringBeforeDelta(anadayList[0],
getMaxBuildAge('none'))
# Get all possibly needed versions for all products we look for.
all_versions = getFromAPI(
'ProductVersions', {
'product': prodchannels.keys(),
'start_date': '>' + earliest_mindate,
'is_rapid_beta': 'false',
})['hits']
# By-type daily data
for (product, channels) in prodchannels.items():
for channel in channels:
fprodtypedata = product + '-' + channel + '-crashes-bytype.json'
try:
with open(fprodtypedata, 'r') as infile:
print('Read stored ' + product + ' ' +
channel.capitalize() + ' per-type data')
prodtypedata = json.load(infile)
except IOError:
prodtypedata = {}
maxday = None
max_build_age = getMaxBuildAge(channel, True)
for anaday in anadayList:
# Do not fetch data when we already have data for this day (unless it's a forced date).
if anaday not in forced_dates and anaday in prodtypedata and prodtypedata[
anaday]['adi']:
continue
print('Fetching ' + product + ' ' + channel.capitalize() +
' per-type daily data for ' + anaday)
# Could use build ID and directly go to Super Search but then we'd need to be able to match ADI with build IDs.
# For now, we don't use that and query versions instead. This would need a False flag on getMaxBuildAge.
#min_buildid = (datetime.datetime.strptime(anaday, '%Y-%m-%d') - max_build_age).strftime('%Y%m%d000000')
# Get version list for this day, product and channel.
# This can contain more versions that we have data for, so don't exactly put this into the output!
min_verstartdate = dayStringBeforeDelta(anaday, max_build_age)
versions = []
verinfo = {}
for ver in all_versions:
if ver['product'] == product and ver[
'build_type'] == channel and ver[
'start_date'] > min_verstartdate:
versions.append(ver['version'])
verinfo[ver['version']] = {
'tfactor': 100 / ver['throttle']
}
# Get ADI data.
adi = {}
results = getFromAPI(
'ADI', {
'product': product,
'versions': versions,
'start_date': anaday,
'end_date': anaday,
'platforms': platforms,
})
if not 'hits' in results:
if 'error' in results:
print('ERROR: ' + results['error'])
else:
print('ERROR: could not fetch ADI correctly!')
continue
for adidata in results['hits']:
adi[adidata['version']] = adidata['adi_count']
# Get crash data.
results = getFromAPI(
'SuperSearch', {
'product': product,
'version': versions,
'date':
['>=' + anaday, '<' + dayStringAdd(anaday, days=1)],
'_aggs.version': ['process_type', 'plugin_hang'],
'_results_number': 0,
})
if not 'facets' in results or not 'version' in results[
'facets']:
if 'error' in results:
print('ERROR: ' + results['error'])
else:
print('ERROR: no versions facet present!')
continue
bytypedata = {'versions': [], 'adi': 0, 'crashes': {}}
for vdata in results['facets']['version']:
# only add the count for this version if the version has ADI.
if vdata['term'] in versions and vdata['term'] in adi:
bytypedata['versions'].append(vdata['term'])
bytypedata['adi'] += adi[vdata['term']]
nonbrowser = 0
for hdata in vdata['facets']['plugin_hang']:
if hdata['term'] == 'T':
if 'Hang Plugin' not in bytypedata['crashes']:
bytypedata['crashes']['Hang Plugin'] = 0
bytypedata['crashes'][
'Hang Plugin'] += hdata['count'] * verinfo[
vdata['term']]['tfactor']
for pdata in vdata['facets']['process_type']:
if pdata['term'] == 'plugin':
pname = 'OOP Plugin'
else:
pname = pdata['term'].capitalize()
if pname not in bytypedata['crashes']:
bytypedata['crashes'][pname] = 0
bytypedata['crashes'][pname] += pdata[
'count'] * verinfo[vdata['term']]['tfactor']
nonbrowser += pdata['count']
if 'Browser' not in bytypedata['crashes']:
bytypedata['crashes']['Browser'] = 0
bytypedata['crashes']['Browser'] += (
vdata['count'] -
nonbrowser) * verinfo[vdata['term']]['tfactor']
if 'OOP Plugin' in bytypedata[
'crashes'] and 'Hang Plugin' in bytypedata['crashes']:
bytypedata['crashes']['OOP Plugin'] -= bytypedata[
'crashes']['Hang Plugin']
bytypedata['versions'].sort()
if bytypedata['adi']:
prodtypedata[anaday] = bytypedata
# Sort and write data back to the file.
ptd_sorted = OrderedDict(
sorted(prodtypedata.items(), key=lambda t: t[0]))
with open(fprodtypedata, 'w') as outfile:
json.dump(ptd_sorted, outfile)
def run(*args):
forced_dates = verifyForcedDates(args)
anadayList = dayList(backlog_days, forced_dates)
datapath = getDataPath()
if datapath is None:
print('ERROR: No data path found, aborting!')
import sys
sys.exit(1)
os.chdir(datapath);
# Get a minimum start date older than any needed below:
# 1) First element in the anadayList is the earlist day we build stuff for.
# 2) For unknown channels, getMaxBuildAge returns a larger age value than for anything else.
earliest_mindate = dayStringBeforeDelta(anadayList[0], getMaxBuildAge('none'))
# Get all possibly needed versions for all products we look for.
all_versions = getFromAPI('ProductVersions', {
'product': prodchannels.keys(),
'start_date': '>' + earliest_mindate,
'is_rapid_beta': 'false',
})['hits']
# Get daily category data
for (product, channels) in prodchannels.items():
for channel in channels:
fprodcatdata = product + '-' + channel + '-crashes-categories.json'
fprodtypedata = product + '-' + channel + '-crashes-bytype.json'
try:
with open(fprodcatdata, 'r') as infile:
print('Read stored ' + product + ' ' + channel.capitalize() + ' category data')
prodcatdata = json.load(infile)
except IOError:
print('No previous category data found.')
prodcatdata = {}
try:
with open(fprodtypedata, 'r') as infile:
print('Read stored ' + product + ' ' + channel.capitalize() + ' per-type data')
prodtypedata = json.load(infile)
except IOError:
print('ERROR: no per-type data found!')
prodtypedata = {}
maxday = None
max_build_age = getMaxBuildAge(channel, True)
for anaday in anadayList:
# Do not fetch data when we already have data for this day (unless it's a forced date) or if we don't have by-type data.
if (anaday not in forced_dates and anaday in prodcatdata) or anaday not in prodtypedata:
continue
print('Category Counts: Looking at category data for ' + product + ' ' + channel.capitalize() + ' on ' + anaday)
# Could use build ID and directly go to Super Search but then we'd need to be able to match ADI with build IDs.
# For now, we don't use that and query versions instead. This would need a False flag on getMaxBuildAge.
#min_buildid = (datetime.datetime.strptime(anaday, '%Y-%m-%d') - max_build_age).strftime('%Y%m%d000000')
# Get version list for this day, product and channel.
# This can contain more versions that we have data for, so don't exactly put this into the output!
min_verstartdate = dayStringBeforeDelta(anaday, max_build_age)
versions = []
verinfo = {}
for ver in all_versions:
if ver['product'] == product and ver['build_type'] == channel and ver['start_date'] > min_verstartdate:
versions.append(ver['version'])
verinfo[ver['version']] = {'tfactor': 100 / ver['throttle']}
catdata = {}
allcount = 0
for (catname, rep) in reports.items():
if rep['desktoponly'] and product != 'Firefox':
continue
print(' * ' + catname)
# Get crash data.
ssparams = {
'product': product,
'version': versions,
'date': ['>=' + anaday,
'<' + dayStringAdd(anaday, days=1)],
'_aggs.version': ['process_type'],
'_results_number': 0,
'_facets': 'process_type',
}
ssparams.update(rep['params'])
results = getFromAPI('SuperSearch', ssparams)
if not 'facets' in results or not 'version' in results['facets']:
if 'error' in results:
print('ERROR: ' + results['error'])
else:
print('ERROR: no versions facet present!')
continue
if rep['process_split']:
catdata[catname] = {}
for vdata in results['facets']['version']:
nonbrowser = 0
for pdata in vdata['facets']['process_type']:
if pdata['term'] not in catdata[catname]:
catdata[catname][pdata['term']] = 0
catdata[catname][pdata['term']] += pdata['count'] * verinfo[vdata['term']]['tfactor']
nonbrowser += pdata['count']
if 'browser' not in catdata[catname]:
catdata[catname]['browser'] = 0
catdata[catname]['browser'] += (vdata['count'] - nonbrowser) * verinfo[vdata['term']]['tfactor']
allcount += vdata['count']
else:
catdata[catname] = 0
for vdata in results['facets']['version']:
catdata[catname] += vdata['count'] * verinfo[vdata['term']]['tfactor']
allcount += vdata['count']
if allcount:
prodcatdata[anaday] = catdata
# Sort and write data back to the file.
ptd_sorted = OrderedDict(sorted(prodcatdata.items(), key=lambda t: t[0]))
with open(fprodcatdata, 'w') as outfile:
json.dump(ptd_sorted, outfile)