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authorRoss Brattain <ross.b.brattain@intel.com>2017-08-07 14:32:45 -0700
committerRoss Brattain <ross.b.brattain@intel.com>2017-08-15 20:36:32 -0700
commitc3d309865bb57e2aba2033d3bbe1c16adca4f0ba (patch)
treebebe3ecb46b1ac7983d2542867058c5420a06ab1 /docs/release/results/os-onos-sfc-ha.rst
parent7d5cc542a9bfa35cba6d2b681e0cf5f90bc77d40 (diff)
YAML fixes
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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