With $AdminApp view <applicationName> -MapResRefToEJB it is possible to list the resource references defined for a deployed EJB module. However, the result of that command is plain text (that in addition may be localized). To extract that information one would have to parse this text, which is not very convenient. Is there a way to get the same information (i.e. the resources references of an application) in a structured form using $AdminConfig?
The AppManagement MBean provides this data in a structured format (Vector of AppDeploymentTasks). To obtain this data using wsadmin scripting (jython):
import javax.management as mgmt
appName = sys.argv[0]
appMgmt = mgmt.ObjectName(AdminControl.completeObjectName("WebSphere:*,type=AppManagement"))
appInfo = AdminControl.invoke_jmx(appMgmt, "getApplicationInfo", [appName, java.util.Hashtable(), None], ["java.lang.String", "java.util.Hashtable", "java.lang.String"])
for task in appInfo :
if (task.getName() == "MapResRefToEJB") :
resRefs = task.getTaskData()
# skip the first row since it contains the headers
for i in range(1, len(resRefs)) :
resRef = resRefs[i]
print
print "URI:", resRef[4]
print "EJB:", resRef[3]
print "Name:", resRef[5]
print "Type:", resRef[6]
print "JNDI:", resRef[8]
Related
I am trying to create a textfsm template with the Netmiko library. While it works for most of the commands, it does not work when I try performing "inc" operation in the network device. The textfsm index file seems like it is not recognizing the same command for 2 different templates; for instance:
If I am giving the command - show running | inc syscontact
And give another command - show running | inc syslocation
in textfsm index; the textfsm template seems like it is recognizing only the first command; and not the second command.
I understand that I can get the necessary data by the regex expression for syscontact and syslocation for the commands( via the template ), however I want to achieve this by the "inc" command from the device itself. Is there a way this can be done?
you need to escape the pipe in the index file. e.g. sh[[ow]] ru[[nning]] \| inc syslocation
There is a different way to parse that you want all datas which is called TTP module. You can take the code I wrote below as an example. You can create your own templates.
from pprint import pprint
from ttp import ttp
import json
import time
with open("showSystemInformation.txt") as f:
data_to_parse = f.read()
ttp_template = """
<group name="Show_System_Information">
System Name : {{System_Name}}
System Type : {{System_Type}} {{System_Type_2}}
System Version : {{Version}}
System Up Time : {{System_Uptime_Days}} days, {{System_Uptime_HR_MIN_SEC}} (hr:min:sec)
Last Saved Config : {{Last_Saved_Config}}
Time Last Saved : {{Last_Time_Saved_Date}} {{Last_Time_Saved_HR_MIN_SEC}}
Time Last Modified : {{Last_Time_Modified_Date}} {{Last_Time_Modifed_HR_MIN_SEC}}
</group>
"""
parser = ttp(data=data_to_parse, template=ttp_template)
parser.parse()
# print result in JSON format
results = parser.result(format='json')[0]
print(results)
Example run:
[appadmin#ryugbz01 Nokia]$ python3 showSystemInformation.py
[
{
"Show_System_Information": {
"Last_Saved_Config": "cf3:\\config.cfg",
"Last_Time_Modifed_HR_MIN_SEC": "11:46:57",
"Last_Time_Modified_Date": "2022/02/09",
"Last_Time_Saved_Date": "2022/02/07",
"Last_Time_Saved_HR_MIN_SEC": "15:55:39",
"System_Name": "SR7-2",
"System_Type": "7750",
"System_Type_2": "SR-7",
"System_Uptime_Days": "17",
"System_Uptime_HR_MIN_SEC": "05:24:44.72",
"Version": "C-16.0.R9"
}
}
]
I'm having trouble saving the output given by the Google Vision API. I'm using Python and testing with a demo image. I get the following error:
TypeError: [mid:...] + is not JSON serializable
Code that I executed:
import io
import os
import json
# Imports the Google Cloud client library
from google.cloud import vision
from google.cloud.vision import types
# Instantiates a client
vision_client = vision.ImageAnnotatorClient()
# The name of the image file to annotate
file_name = os.path.join(
os.path.dirname(__file__),
'demo-image.jpg') # Your image path from current directory
# Loads the image into memory
with io.open(file_name, 'rb') as image_file:
content = image_file.read()
image = types.Image(content=content)
# Performs label detection on the image file
response = vision_client.label_detection(image=image)
labels = response.label_annotations
print('Labels:')
for label in labels:
print(label.description, label.score, label.mid)
with open('labels.json', 'w') as fp:
json.dump(labels, fp)
the output appears on the screen, however I do not know exactly how I can save it. Anyone have any suggestions?
FYI to anyone seeing this in the future, google-cloud-vision 2.0.0 has switched to using proto-plus which uses different serialization/deserialization code. A possible error you can get if upgrading to 2.0.0 without changing the code is:
object has no attribute 'DESCRIPTOR'
Using google-cloud-vision 2.0.0, protobuf 3.13.0, here is an example of how to serialize and de-serialize (example includes json and protobuf)
import io, json
from google.cloud import vision_v1
from google.cloud.vision_v1 import AnnotateImageResponse
with io.open('000048.jpg', 'rb') as image_file:
content = image_file.read()
image = vision_v1.Image(content=content)
client = vision_v1.ImageAnnotatorClient()
response = client.document_text_detection(image=image)
# serialize / deserialize proto (binary)
serialized_proto_plus = AnnotateImageResponse.serialize(response)
response = AnnotateImageResponse.deserialize(serialized_proto_plus)
print(response.full_text_annotation.text)
# serialize / deserialize json
response_json = AnnotateImageResponse.to_json(response)
response = json.loads(response_json)
print(response['fullTextAnnotation']['text'])
Note 1: proto-plus doesn't support converting to snake_case names, which is supported in protobuf with preserving_proto_field_name=True. So currently there is no way around the field names being converted from response['full_text_annotation'] to response['fullTextAnnotation']
There is an open closed feature request for this: googleapis/proto-plus-python#109
Note 2: The google vision api doesn't return an x coordinate if x=0. If x doesn't exist, the protobuf will default x=0. In python vision 1.0.0 using MessageToJson(), these x values weren't included in the json, but now with python vision 2.0.0 and .To_Json() these values are included as x:0
Maybe you were already able to find a solution to your issue (if that is the case, I invite you to share it as an answer to your own post too), but in any case, let me share some notes that may be useful for other users with a similar issue:
As you can check using the the type() function in Python, response is an object of google.cloud.vision_v1.types.AnnotateImageResponse type, while labels[i] is an object of google.cloud.vision_v1.types.EntityAnnotation type. None of them seem to have any out-of-the-box implementation to transform them to JSON, as you are trying to do, so I believe the easiest way to transform each of the EntityAnnotation in labels would be to turn them into Python dictionaries, then group them all into an array, and transform this into a JSON.
To do so, I have added some simple lines of code to your snippet:
[...]
label_dicts = [] # Array that will contain all the EntityAnnotation dictionaries
print('Labels:')
for label in labels:
# Write each label (EntityAnnotation) into a dictionary
dict = {'description': label.description, 'score': label.score, 'mid': label.mid}
# Populate the array
label_dicts.append(dict)
with open('labels.json', 'w') as fp:
json.dump(label_dicts, fp)
There is a library released by Google
from google.protobuf.json_format import MessageToJson
webdetect = vision_client.web_detection(blob_source)
jsonObj = MessageToJson(webdetect)
I was able to save the output with the following function:
# Save output as JSON
def store_json(json_input):
with open(json_file_name, 'a') as f:
f.write(json_input + '\n')
And as #dsesto mentioned, I had to define a dictionary. In this dictionary I have defined what types of information I would like to save in my output.
with open(photo_file, 'rb') as image:
image_content = base64.b64encode(image.read())
service_request = service.images().annotate(
body={
'requests': [{
'image': {
'content': image_content
},
'features': [{
'type': 'LABEL_DETECTION',
'maxResults': 20,
},
{
'type': 'TEXT_DETECTION',
'maxResults': 20,
},
{
'type': 'WEB_DETECTION',
'maxResults': 20,
}]
}]
})
The objects in the current Vision library lack serialization functions (although this is a good idea).
It is worth noting that they are about to release a substantially different library for Vision (it is on master of vision's repo now, although not released to PyPI yet) where this will be possible. Note that it is a backwards-incompatible upgrade, so there will be some (hopefully not too much) conversion effort.
That library returns plain protobuf objects, which can be serialized to JSON using:
from google.protobuf.json_format import MessageToJson
serialized = MessageToJson(original)
You can also use something like protobuf3-to-dict
Is there a good way with ruamel.yaml to dump a YAML file back out in the same version as it is loaded in? If I have a %YAML 1.1 directive in the file I would like to be able to dump the file back out in YAML 1.1 without having to hard-code version='1.1'.
So given some data like,
%YAML 1.1
---
is_string: 'on'
is_boolean: on
I would like to avoid hard-coding version='1.1' on the round_trip_dump(),
x = f.read()
d = round_trip_load(x)
round_trip_dump(d, f, explicit_start=True)
The version of the YAML file is a fleeting value, which gets reset after loading. It was (is) my plan to make the version of the latest document loaded available somehow, but with multiple documents in a stream this needs some more thought.
For single document streams you can do the following to capture the version from the directive. This is all done with the new API. With the old API that you are using in the example the same is possible, but more difficult because there is no YAML() instance to attach attributes to:
import sys
from ruamel.yaml import YAML
from ruamel.yaml.parser import Parser
yaml_str = """\
%YAML 1.1
---
is_string: 'on'
is_boolean: on
"""
class MyParser(Parser):
def dispose(self):
self.loader.last_yaml_version = self.yaml_version
Parser.dispose(self)
yaml = YAML()
yaml.Parser = MyParser
data = yaml.load(yaml_str)
yaml2 = YAML()
yaml2.version = yaml.last_yaml_version
yaml2.dump(data, sys.stdout)
which gives:
%YAML 1.1
---
is_string: 'on'
is_boolean: true
Please note that it is necessary to create a clean, new object for output, as the "unversioned" reading doesn't fully reset the yaml instance, when encountering the %YAML 1.1 directive.
It is also possible to dump the value associated with is_boolean as on, but that would affect all booleans in the stream.
In Eclipse, Using Papyrus neon and Acceleo 3.7 for SysML 1.4 diagram, the getAppliedStereotype()returns null.
The modules are
[module generate('http://www.eclipse.org/uml2/5.0.0/UML',
'http://www.eclipse.org/papyrus/sysml/1.4/SysML',
'http://www.eclipse.org/papyrus/sysml/1.4/SysML/Blocks',
'http://www.eclipse.org/papyrus/sysml/1.4/SysML/Activities',
'http://www.eclipse.org/papyrus/sysml/1.4/SysML/Requirements',
'http://www.eclipse.org/papyrus/sysml/1.4/SysML/ModelElements')]
I have added the following code in the generate.java but still cannot work
Map<URI, URI> uriMap = resourceSet.getURIConverter().getURIMap();
// UML2 profiles
URI uri = URI.createURI("platform:/plugin/org.eclipse.uml2.uml.resources");
uriMap.put(URI.createURI(UMLResource.LIBRARIES_PATHMAP), uri.appendSegment("libraries").appendSegment(""));
uriMap.put(URI.createURI(UMLResource.METAMODELS_PATHMAP), uri.appendSegment("metamodels").appendSegment(""));
uriMap.put(URI.createURI(UMLResource.PROFILES_PATHMAP), uri.appendSegment("profiles").appendSegment(""));
// SysML profiles
uri = URI.createURI("platform:/plugin/org.eclipse.papyrus.sysml14");
uriMap.put(URI.createURI(SysMLResource.LIBRARIES_PATHMAP), uri.appendSegment("librairies").appendSegment(""));
uriMap.put(URI.createURI("pathmap://SysML14_PROFILES/"), uri.appendSegment("model").appendSegment(""));
The code like c.getAppliedStereotypes() returns null. I want to get the information of a requirement like the following code which returns nothing because of the getAppliedStereotype operation:
[for (re : uml::Class | uml::Class.allInstances()->select(cl : uml::Class | cl.getAppliedStereotype('SysML::Requirements::Requirement') <> null))]
--[re.name/]
Modellpfad : [re.qualifiedName/]
Id : [re.getValue(re.getAppliedStereotype('SysML::Requirements::Requirement'), 'id')/]
Text : [re.getValue(re.getAppliedStereotype('SysML::Requirements::Requirement'), 'text')/]
[/for]
Well, if none of your model elements have an applied stereotype, you will find no classes or objects. Thus, when you try to print the applied stereotype of all elements with an applied stereotype without first ensuring that the list is itself not null, you will fail.
libxml2 (for C) is not preserving empty elements in their original form on a save. It replaces <tag></tag> with <tag/> which is technically correct but causes problems for us.
xmlDocPtr doc = xmlParseFile("myfile.xml");
xmlNodePtr root = xmlSaveFile("mynewfile.xml", doc);
I've tried playing with the various options (using xlmReadFile) but none seem to affect the output. One post here mentioned disabling tag compression but the example was for PERL and I've found no analog for C.
Is there an option to disable this behavior?
Just found this enum in the xmlsave module documentation:
Enum xmlSaveOption {
XML_SAVE_FORMAT = 1 : format save output
XML_SAVE_NO_DECL = 2 : drop the xml declaration
XML_SAVE_NO_EMPTY = 4 : no empty tags
XML_SAVE_NO_XHTML = 8 : disable XHTML1 specific rules
XML_SAVE_XHTML = 16 : force XHTML1 specific rules
XML_SAVE_AS_XML = 32 : force XML serialization on HTML doc
XML_SAVE_AS_HTML = 64 : force HTML serialization on XML doc
XML_SAVE_WSNONSIG = 128 : format with non-significant whitespace
}
Maybe you can refactor your application to use this module for serialization, and play a little with these options. Specially with XML_SAVE_NO_EMPTY.
Your code may look like this:
xmlSaveCtxt *ctxt = xmlSaveToFilename("mynewfile.xml", "UTF-8", XML_SAVE_FORMAT | XML_SAVE_NO_EMPTY);
if (!ctxt || xmlSaveDoc(ctxt, doc) < 0 || xmlSaveClose(ctxt) < 0)
//...deal with the error