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current dashboard is obselete and hard to understand
add local grafana dashboard automatically import by
"yardstick env grafana"
update grafana version to latest steady
Change-Id: Iffae9170231d3e0867a52a1f6b5e99c4650b7326
Signed-off-by: rexlee8776 <limingjiang@huawei.com>
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There are multiple issues wiht YAML loading.
1. Jinja2 renders None values as a string 'None'. This is not valid YAML
we need to render None values to '~' or 'null' which is the native YAML
None value.
2. Jinja2 renders dict and lists that contain unicode with
u'foo' values. This is not value YAML syntax.
Because we are serializing dict and lists into YAML, we
need to encode them as valid YAML. We can override Jinja2 finalize to
use yaml.dump to dump inline YAML.
We use yaml.safe_dump(elem, default_flow_style=True).replace('\n', '')
to generate valid single-line YAML dict and list values.
But this problem highlights the general difficulties with templating and
loading files.
We could avoid this Python->Jinja2->YAML->Python issue by directly
injecting the list or dict after the YAML is loaded.
I'm not sure of the real utility of these templates.
3. On Python 2 YAML loader is rendering all strings
as unicode. This does not work for Trex because Trex is broken
and badly coded. Trex does type checking against str() which
is different for Python 2 and Python 3.
The default YAML loader will return native string types, str() or unicode()
for Python 2 and Python 3 respectively.
The bad Trex codes is in convert_val:
https://github.com/cisco-system-traffic-generator/trex-core/blob/master/scripts/automation/trex_control_plane/stl/trex_stl_lib/trex_stl_packet_builder_scapy.py#L674
def convert_val (val):
if is_integer(val):
return val
if type(val) == str:
return ipv4_str_to_num (is_valid_ipv4(val))
raise CTRexPacketBuildException(-11,("init val invalid %s ") % val );
This code is doing type(val) == str. This is bad and broken.
We can't fix Trex, so we have to render all strings as native str() types
The bug here was that the Heat template loader template_format.py
was overriding the global YAML loader to always return unicode.
We don't want this global override.
To fix this we have to use local subclasses of the yaml.SafeLoader
class.
But in order to dynamically subclass from CSafeLoader or SafeLoader
we have to use the type() builtin to define a new class at runtime.
Once we have new classes defined, we can safely isolate different
YAML constructors and return unicode or not depending on the case.
To be consistent we implement a new yaml_loader.py module to centralize
all non-Heat template yaml loading to ensure correct uncode/str
conversion
Change-Id: Iebf9cf78fbda390977c390436b0869e7bbf503eb
Signed-off-by: Ross Brattain <ross.b.brattain@intel.com>
Signed-off-by: Deepak S <deepak.s@linux.intel.com>
Signed-off-by: Ross Brattain <ross.b.brattain@intel.com>
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yaml.safe_load is safer, obviously.
anteater will check for this
template_format use specialized constructor based on yaml.SafeLoader
JIRA: YARDSTICK-760
Change-Id: Ia3b0b3aa0765385a0ee472a4d83f49d424b5a77f
Signed-off-by: Ross Brattain <ross.b.brattain@intel.com>
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JIRA: YARDSTICK-741
API: /api/v2/yardstick/tasks/<task_id>
METHOD: PUT
PARAMS:
{
'action': 'run'
}
Change-Id: Ia5340c6ff45e3e7e70ab4597c39476138e7016f2
Signed-off-by: chenjiankun <chenjiankun1@huawei.com>
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JIRA: YARDSTICK-714
Currently yardstick env influxdb/grafana command do not support centos.
Because we use the gateway ip to get the service of influxdb and grafana.
But in centos, we can not access influxdb/grafana service via gateway ip.
In this patch, I use docker inspect to get the ip of influxdb and grafana.
So these command can support centos.
Change-Id: Ie4abcb8048b92d61bc62777dfc362bb29f354b2b
Signed-off-by: chenjiankun <chenjiankun1@huawei.com>
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JIRA: YARDSTICK-710
Since we have the plan to upload api v2 and gui.
We need to add put and delete method.
So the architecture need to be improved.
Change-Id: Ie20a79c26ef6c581897ce4e63980fa2895b162d2
Signed-off-by: chenjiankun <chenjiankun1@huawei.com>
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rexlee8776
Ross Brattain
chenjiankun