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mhammond/Number of desktop pings per day.ipynb Secret

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Number of desktop pings per day.ipynb
{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"scrolled": true
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"fetching 230703.18406MB in 2448744 files...\n"
]
}
],
"source": [
"import re\n",
"import datetime\n",
"import time\n",
"from moztelemetry import get_pings\n",
"\n",
"fraction = 0.2\n",
"\n",
"# for now we are only interested in 59 and 60.\n",
"#versions = re.compile(\"(5[9])|(6[0])\\..*\") # \".*\" for all\n",
"\n",
"ndays = 240 # number of days in the past\n",
"\n",
"# we only ask for ping submitted within these dates.\n",
"earliest_ping = datetime.date.fromtimestamp(time.time() - ndays * 24 * 60 * 60)\n",
"earliest_ping_str = earliest_ping.strftime(\"%Y%m%d\")\n",
"latest_ping = datetime.date.fromtimestamp(time.time())\n",
"latest_ping_str = latest_ping.strftime(\"%Y%m%d\")\n",
"\n",
"channel = None\n",
"\n",
"def getPlatform(ping):\n",
" application = ping[\"application\"]\n",
" if \"name\" not in application or application.get(\"name\") == \"Fennec\":\n",
" return \"android\" # ??\n",
" return \"iOS\" if application.get(\"architecture\") == \"arm\" else \"desktop\"\n",
"\n",
"\n",
"def filterOurs(ping):\n",
" try:\n",
"# if versions.match(ping[\"application\"][\"version\"]) is None:\n",
"# return False\n",
" if ping[\"application\"][\"channel\"] not in [\"beta\", \"nightly\", \"release\"]:\n",
" return False\n",
" platform = getPlatform(ping)\n",
" return platform == \"desktop\"\n",
" except (KeyError, ValueError):\n",
" return False\n",
"\n",
"def mapToDate(ping):\n",
" when = datetime.datetime.strptime(ping[\"meta\"][\"submissionDate\"], \"%Y%m%d\").date()\n",
" #version = ping[\"application\"][\"version\"].split(\".\")[0]\n",
" channel = ping[\"application\"][\"channel\"]\n",
" return (when, channel), 1\n",
"\n",
"s = get_pings(sc, doc_type='sync', submission_date=(earliest_ping_str, latest_ping_str), channel=channel, fraction=fraction\n",
" ).filter(filterOurs\n",
" ).map(mapToDate\n",
" ).reduceByKey(lambda a, b: a+b\n",
" )"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"# turn into dicts used to plot.\n",
"dataByVersionByDate = {}\n",
"for (when, channel), count in s.collect():\n",
" byDate = dataByVersionByDate.setdefault(channel, {})\n",
" byDate[when] = count\n"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
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},
"metadata": {},
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}
],
"source": [
"import matplotlib.pyplot as plt\n",
"import matplotlib.ticker as ticker\n",
"from matplotlib.dates import date2num\n",
"from pylab import rcParams\n",
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"\n",
"%config InlineBackend.figure_format = 'svg'\n",
"\n",
"rcParams['figure.figsize'] = 12, 10\n",
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"\n",
"def plotChannel(channel):\n",
" verData = dataByVersionByDate[channel]\n",
" ticks = []\n",
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" for when in sorted(verData.keys()):\n",
" ticks.append(date2num(when))\n",
" vals.append(verData[when] / fraction)\n",
"\n",
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"plotChannel(\"nightly\")\n",
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"\n",
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}
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Raw
Number of desktop pings per day.py
# coding: utf-8
# In[1]:
import re
import datetime
import time
from moztelemetry import get_pings
fraction = 0.2
# for now we are only interested in 59 and 60.
#versions = re.compile("(5[9])|(6[0])\..*") # ".*" for all
ndays = 240 # number of days in the past
# we only ask for ping submitted within these dates.
earliest_ping = datetime.date.fromtimestamp(time.time() - ndays * 24 * 60 * 60)
earliest_ping_str = earliest_ping.strftime("%Y%m%d")
latest_ping = datetime.date.fromtimestamp(time.time())
latest_ping_str = latest_ping.strftime("%Y%m%d")
channel = None
def getPlatform(ping):
application = ping["application"]
if "name" not in application or application.get("name") == "Fennec":
return "android" # ??
return "iOS" if application.get("architecture") == "arm" else "desktop"
def filterOurs(ping):
try:
# if versions.match(ping["application"]["version"]) is None:
# return False
if ping["application"]["channel"] not in ["beta", "nightly", "release"]:
return False
platform = getPlatform(ping)
return platform == "desktop"
except (KeyError, ValueError):
return False
def mapToDate(ping):
when = datetime.datetime.strptime(ping["meta"]["submissionDate"], "%Y%m%d").date()
#version = ping["application"]["version"].split(".")[0]
channel = ping["application"]["channel"]
return (when, channel), 1
s = get_pings(sc, doc_type='sync', submission_date=(earliest_ping_str, latest_ping_str), channel=channel, fraction=fraction
).filter(filterOurs
).map(mapToDate
).reduceByKey(lambda a, b: a+b
)
# In[2]:
# turn into dicts used to plot.
dataByVersionByDate = {}
for (when, channel), count in s.collect():
byDate = dataByVersionByDate.setdefault(channel, {})
byDate[when] = count
# In[3]:
import matplotlib.pyplot as plt
import matplotlib.ticker as ticker
from matplotlib.dates import date2num
from pylab import rcParams
import itertools
get_ipython().magic(u"config InlineBackend.figure_format = 'svg'")
rcParams['figure.figsize'] = 12, 10
rcParams.update({'font.size': 6})
def plotChannel(channel):
verData = dataByVersionByDate[channel]
ticks = []
vals = []
for when in sorted(verData.keys()):
ticks.append(date2num(when))
vals.append(verData[when] / fraction)
ax.plot_date(ticks,
vals,
'-',
label=channel)
ax.get_yaxis().set_major_formatter(ticker.FuncFormatter(lambda x, p: format(int(x), ",")))
fig, ax = plt.subplots()
plotChannel("nightly")
plotChannel("beta")
ax.legend(loc='upper left')
fig, ax = plt.subplots()
plotChannel("release")
ax.legend(loc='upper left')
plt.show()
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