from statscache_plugins.volume.utils import VolumePluginMixin, plugin_factory
import fedmsg.meta
import sqlalchemy as sa
class PluginMixin(VolumePluginMixin):
name = "volume, by package"
summary = "the count of messages, organized by package"
description = """
For any given time window, the number of messages that come across
the bus for each package.
"""
_keys = ['package', 'timestamp']
def process(self, message):
timestamp = self.schedule.next(
now=datetime.datetime.fromtimestamp(message['timestamp']))
packages = fedmsg.meta.msg2packages(message, **self.config)
for package in packages:
self._volumes[(package, timestamp)] += 1
plugins = plugin_factory(
[datetime.timedelta(seconds=s) for s in [1, 5, 60]], PluginMixin,
"VolumeByPackage", "data_volume_by_package_", {
'volume': sa.Column(sa.Integer, nullable=False),
'package': sa.Column(sa.UnicodeText, nullable=False, index=True),
})
from statscache_plugins.volume.utils import VolumePluginMixin, plugin_factory
import sqlalchemy as sa
class PluginMixin(VolumePluginMixin):
name = "volume"
summary = "the number of messages coming across the bus"
description = """
This is perhaps the most simple metric catalogued by statscache.
For any given time window, the number of messages are simply counted.
It can give you a baseline quantity against which you could normalize
other statistics.
"""
_keys = ['timestamp']
def process(self, message):
timestamp = datetime.datetime.fromtimestamp(message['timestamp'])
self._volumes[(timestamp,)] += 1
plugins = plugin_factory(
[datetime.timedelta(seconds=s) for s in [1, 5, 60]],
PluginMixin,
"Volume",
"data_volume_",
{
'volume': sa.Column(sa.Integer, nullable=False),
}
)
import sqlalchemy as sa
class PluginMixin(VolumePluginMixin):
name = "volume, by category"
summary = "the count of messages, organized by category"
description = """
For any given time window, the number of messages that come across
the bus for each category.
"""
_keys = ['category', 'timestamp']
def process(self, message):
timestamp = self.schedule.next(
now=datetime.datetime.fromtimestamp(message['timestamp'])
)
category = message['topic'].split('.')[3]
self._volumes[(category, timestamp)] += 1
plugins = plugin_factory(
[datetime.timedelta(seconds=s) for s in [1, 5, 60]],
PluginMixin,
"VolumeByCategory",
"data_volume_by_category_",
{
'volume': sa.Column(sa.Integer, nullable=False),
'category': sa.Column(sa.UnicodeText, nullable=False, index=True),
}
)