avr

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Python module to post and retrieve IControl Rest JSON objects for AVR statistics
Problem this snippet solves: This module simplifies making Python dictionary objects that are converted to IControl rest AVR JSON objects. It also handles making AVR requests and retrieving results as well allowing multiple AVR requests to be queued, posted and retrieved. It also has some basis type checking for the elements of a AVR request. This module requires Bigip 12.1 on the target that statistics are retrieved. How to use this snippet: The main class is rest_avr.avr_req. It is a dictionary class that maps directly to an IControl Rest AVR JSON request as translated by json.dumps. Each dictionary element is an object derived from a customer class for each part of the request. The element classes have add() and clear() functions. if the element class only allows one entry the add() function will replace the existing entry, otherwise it will append the entry to the request element. The rest_avr.avr_req class also has functions to populate the HTTP host and authentication values for the target system. rest_avr.avr_req.post_and_response returns the Python representation of the JSON result of the query. rest_avr.avr_req.add_to_queue() adds the currently constructed request to a queue of requests to post. rest_avr.avr_req.post_and_response_queue() returns a python list of results of queued queries. The following code sample constructs, posts and returns results for an AVR statistics request for specific DNS records and a specificrecord type, then queues multiple quests and posts and returns results. #!/usr/bin/python import json import sys import time import rest_avr #print rest_avr.ShowAVRJsonApi #Populate the url avr_dns_req=rest_avr.avr_req() avr_dns_req.auth('admin','admin') avr_dns_req.url_base('10.10.2.113','dns') #Populate the json object avr_dns_req['analyticsModule'].add('dns') avr_dns_req['reportFeatures'].add('time-aggregated') avr_dns_req['entityFilters'].add('domain-name', 'OPERATOR_TYPE_EQUAL', ['test2.test1.com','test1.test1.com']) avr_dns_req['entityFilters'].add('query-type', 'OPERATOR_TYPE_EQUAL', ['a']) avr_dns_req['viewMetrics'].add('packets') avr_dns_req['viewDimensions'].add('domain-name') avr_dns_req['metricFilters'].add('packets', 'OPERATOR_TYPE_GREATER_THAN', 0) avr_dns_req['sortByMetrics'].add('packets', 'ascending') avr_dns_req['pagination'].add(20, 0) avr_dns_req['timeRange'].add(1461778251000000, None) #Post and retrieve results. result_py=avr_dns_req.post_and_response() if result_py != None: print ('\n' + result_py['results']['timeAggregated'][0]['dimensions'][0]['value'] + " " + result_py['results']['timeAggregated'][0]['metricValues'][0]['value'] + '\n') else: print result_py.error_layer print result_py.error_code print result_py.error_text # Now add multiple requests to a queue avr_dns_req.add_to_queue() avr_dns_req['entityFilters'].clear() avr_dns_req['entityFilters'].add('query-type', 'OPERATOR_TYPE_EQUAL', ['aaaa']) avr_dns_req.add_to_queue() #post and retrieve queued results result_py_q=avr_dns_req.post_and_response_queue() for result_py in result_py_q: if result_py != None: print ('\n' + result_py['results']['timeAggregated'][0]['dimensions'][0]['value'] + " " + result_py['results']['timeAggregated'][0]['metricValues'][0]['value'] + '\n') else: print result_py.error_layer print result_py.error_code print result_py.error_text Code : """ rest_avr provides a python interface to Bigip AVR statistics using the REST API. The main Python rest_avr.avr_req object is a Python dictionary that maps to a JSON object that can be processed with the json.dumps() function An IControl Rest AVR JSON request and response can be initiated with avr_req.post_and_response The simple description of the API can is available at avr_req.ShowJsonApi() Each of these modules has a method to add single or multiple elements as appropriate to the specific module. Once these elements are are populated a RestAPI request can be made with results returned as a python representation. avr_req.auth(user, passw) avr_req.url_base(host, module) avr_req['analyticsModule'].add(module) avr_req['analyticsModule'].clear() avr_req['reportFeatures'].add(metric_name, predicate, value) avr_req['reportFeatures'].clear() avr_req['entityFilters'].add(dimension_name, predicate, values) avr_req['entityFilters'].clear() avr_req['viewMetrics'].add(metric_name) avr_req['viewMetrics'].clear() avr_req['viewDimensions'].add(metric_name, order) avr_req['viewDimensions'].clear() avr_req['metricFilters'].add(metric_name, predicate, valu) avr_req['metricFilters'].clear() avr_req['sortByMetrics'].add(metric_name, orde) avr_req['sortByMetrics'].clear() avr_req['pagination'].add(num_results, skip_result) avr_req['pagination'].clear() avr_req['timeRange'].add(t_from, t_to) avr_req['timeRange'].clear() After a request in constructed a REST API call is initiated with initiated with: avr_req.post_and_response() The response is a python dictionary data structure of the results as processed by json.loads """ from copy import deepcopy import requests import json import sys import time import warnings __author__ = 'Mark Lloyd' __version__ = '1.0' # 05/24/2016 import json import requests import time class BadDictElement(Exception): def __init__(self, key, value, expl): Exception.__init__(self, '{0} {1} {2} '.format(key, value, expl)) class BadTime(Exception): def __init__(self, variable, value): Exception.__init__(self, '{0} {1} should be 16 char decimal in microseconds '.format('a', 'b')) class RequestFailure(Exception): def __init__(self, key, value): Exception.__init__(self, '{0} {1} '.format(key, value)) class analyticsModule(str): """ This class is tied to the structure of the parent class. parent() get's the parent object so we can make the string pseudo-mutable. accessed from within an avr request ['analyticsModule'].add(module) Adds a single string to analyticsModule element . If one exists it is replaced. ['analyticsModule'].clear() Send a null value to the analyticsModule element. See rest_avr.ShowAVRJsonApi for more details """ def parent(self, parent): self.parent = parent def add(self, module): """ avr_req.['analyticsModule'].add(module) Adds a single string to analyticsModule element . If one already exists it is replaced. This should be the same as the module string in avr_req.url_base. """ self.parent['analyticsModule'] = analyticsModule(module) self.parent['analyticsModule'].parent = self.parent def clear(self): """ avr_req.['analyticsModule'].add(module) replaces the analyticsModule mddule with a null string """ self.parent['analyticsModule'] = analyticsModule('') self.parent['analyticsModule'].parent = self.parent class metricFilters(list): """ avr_req.['metricFilters'].add(metric_name, predicate, value) metric name is a string, value is an integer Valid predicates strings are ['OPERATOR_TYPE_EQUAL', 'OPERATOR_TYPE_NOT_EQUAL', 'OPERATOR_TYPE_GREATER_THAN', OPERATOR_TYPE_LOWER_THAN','OPERATOR_TYPE_GREATER_THAN_OR_EQUAL', 'OPERATOR_TYPE_LOWER_THAN_OR_EQUAL']) avr_req['metricFilters'].clear() Clears metricFilters elements See rest_avr.ShowAVRJsonApi for more details. """ def __init__(self): self.append([]) self.valid_metric_predicate = ( ['OPERATOR_TYPE_EQUAL', 'OPERATOR_TYPE_NOT_EQUAL', 'OPERATOR_TYPE_GREATER_THAN', 'OPERATOR_TYPE_LOWER_THAN', 'OPERATOR_TYPE_GREATER_THAN_OR_EQUAL', 'OPERATOR_TYPE_LOWER_THAN_OR_EQUAL']) def add(self, metric_name, predicate, value): """ avr_req.['metricFilters'].add(metric_name, predicate, value) metric name is a string, value is an integer Valid predicates strings are ['OPERATOR_TYPE_EQUAL', 'OPERATOR_TYPE_NOT_EQUAL', 'OPERATOR_TYPE_GREATER_THAN', OPERATOR_TYPE_LOWER_THAN','OPERATOR_TYPE_GREATER_THAN_OR_EQUAL', 'OPERATOR_TYPE_LOWER_THAN_OR_EQUAL'] """ if type(value) is not int: raise BadDictElement(metric_name, value, 'value should be integer') if predicate in self.valid_metric_predicate: # first check if it is already there for metric in self[0]: if metric['metricName'] == metric_name: metric['predicate'] = predicate metric['value'] = value return 0 # if it is not there then just add it. self[0].append({'metricName': metric_name, 'predicate': predicate, 'value': value}) else: raise BadDictElement(metric_name, predicate, 'invalid predicate') def clear(self): """ avr_req['metricFilters'].clear() Clears metricFilters elements """ del self[0][:] class entityFilters(list): """ avr_req.['entityFilters'].add(dimension_name, predicate, values): All values are strings valid predicate is 'OPERATOR_TYPE_EQUAL' ['entityFilters'].clear() Clears the entityFilters element See rest_avr.ShowJsonApi for more details """ def __init__(self): self.append([]) def add(self, dimension_name, predicate, values): """ avr_req.['entityFilters'].add(dimension_name, predicate, values): All values are strings valid predicate is 'OPERATOR_TYPE_EQUAL' """ if predicate is 'OPERATOR_TYPE_EQUAL': # then loop throuth to see if the dimenson name already exists, if so replace for entity in self[0]: if entity['dimensionName'] == dimension_name: entity['predicate'] = predicate entity['values'] = values return 0 # if it is not there then just add it. self[0].append({'dimensionName': dimension_name, 'predicate': predicate, 'values': values}) else: raise BadDictElement(dimension_name, predicate, 'predicate must be OPERATOR_TYPE_EQUAL') def clear(self): """ ['entityFilters'].clear() Clears the entityFilters element """ del self[0][:] class reportFeatures(list): """ avr_req.['reportFeatures'].add( feature) adds report feature string. Multiple features are permitted. ['reportFeatures'].clear() Clears the analyticsModule element. See rest_avr.ShowAVRJsonApi for more details. """ def add(self, feature): """ avr_req.['reportFeatures'].add( feature) adds report feature string. Multiple features are permitted .""" if feature not in self: self.append(feature) def clear(self): """ ['reportFeatures'].clear() Clears the entityFilters element """ del self[:] class sortByMetrics(list): """ avr_req.['sortByMetrics'].add(metric_name, order) valid order names are 'ascending' and 'descending' sortByMetrics is optional in an AVR request. avr_req['sortByMetrics'].clear() Clears the sortByMetrics element. See rest_avr.ShowAVRJsonApi for more details. """ def __init__(self): self.metric_list = [] def add(self, metric_name, order): if metric_name not in self.metric_list: self.append({'metricName': metric_name, 'order': order}) self.metric_list.append(metric_name) def clear(self): """ ['sortByMetrics'].clear() Clears the sortByMetrics element """ del self[:] del self.metric_list[:] class viewDimensions(list): """ avr_req.['viewDimensions'].add(dimension_name): adds view dimension, only one dimension is allowed add will replace element if it already exists avr_req['viewDimensions'].clear() Clears the viewDimensions element. See rest_avr.ShowAVRJsonApi for more details. """ def __init__(self): self.append([]) self[0] = {} def add(self, dimension_name): """ avr_req.['viewDimensions'].add(dimension_name): adds view dimension string, only one dimension is allowed add will replace element if it already exists """ self[0]['dimensionName'] = dimension_name def clear(self, dimension_name): """ ['viewDimensions'].clear() Clears the viewDimensions element """ del self[0][:] class viewMetrics(list): """ avr_req.['viewMetrics'].add(metric_name): appends metric_name string to list. The specification allows multiple view metric elements avr_req['viewMetrics'].clear() Clears the viewMetrics elements See rest_avr.ShowAVRJsonApi for more details. """ def __init__(self): self.metric_list = [] def add(self, metric_name): """ avr_req.['viewMetrics'].add(metric_name): appends metric_name string to list. The specification allows multiple viewMetric elements """ if metric_name not in self.metric_list: self.append({'metricName': metric_name}) self.metric_list.append(metric_name) def clear(self): """ ['viewMetrics'].clear() Clears the viewMetrics elements """ del self[:] del self.metric_list[:] class timeRange(dict): """ avr_req.['timeRange'].add( t_from, t_to) both values are 16 digit numeric value in microseconds of unix/linux time. t_to is optional and can be replace by None timeRange is an optional. avr_req['timeRange'].clear() Clears the timeRange elements See rest_avr.ShowAVRJsonApi for more details. """ def add(self, t_from, t_to): """ avr_req.['timeRange'].add( t_from, t_to) both values are 16 digit numeric value in microseconds of unix/linux time. t_to is optional and can be replace by None timeRange is optional. """ if type(t_from) is long and len(str(t_from)) == 16: self['from'] = t_from else: raise BadTime(t_from + " is 16 digit numeric value in microseconds") if t_to != '' and t_to != 0 and t_to != None: if type(t_to) is long and len(str(t_from)) == 16: self['to'] = t_to else: raise BadTime(t_to + " is 16 digit numeric value in microseconds") else: if 'to' in self.keys(): del self['to'] def clear(self): """ ['timeRange'].clear() Clears the timeRange element """ del self[:] class pagination(dict): """ avr_req.['pagination'].add(num_results, skip_results) both are integer values. avr_req['pagination'].clear() Clears the pagination elements See rest_avr.ShowAVRJsonApi for more details. """ def add(self, num_results, skip_results): """ avr_req.['pagination'].add(num_results, skip_results) both arguments are integers. """ if type(num_results) is int: self['numberOfResults'] = num_results else: raise BadDictElement('number of Results ', num_results, 'must be integer') if type(skip_results) is int: self['skipResults'] = skip_results else: raise BadDictElement('skipResults ', skip_results, 'must be integer') def clear(self): """ ['pagination'].clear() Clears the pagination element """ del self[:] class avr_resp(dict): """ python response error is applicable. """ def __init__(self): self.error_layer = None self.error_code = None self.error_text = None class avr_req(dict): """ The main class for rest_avr. avr_req contains a dictionary that maps to the elements of a Icontrol REST AVR request along with capability of posting that request and receiving a response. The dictionary values are object instances of python classes that correspond to the the JSON values of the object's name/value pair. Each value has two public methods: avr_req.['objectName']add(): adds an element to the appropriate object with type checking. If an element allows more then one instance the add function will append the element If an element allows only one instance the add function will replace the element avr_req.['objectName'].clear()r: clears all elements in the object. printing rest_avr.ShowAVRJsonApi provides documentation for the AVR JASON elements. Further documentation is available on devcentral.f5.com To post an AVR Rest request there are two functions to populate the HTTP/HTTPS request. avr_req.auth(user, passw): provides the username and password avr_req.url_base(host, module) provides the host and the bigip module AVR queries to construct the URL to make the request. Then to post the request and return results in a python representation of the JSON response. avr_req.post_and_response() """ def __init__(self): self['analyticsModule'] = analyticsModule() self['analyticsModule'].parent = self self['pagination'] = pagination() self['metricFilters'] = metricFilters() self['entityFilters'] = entityFilters() self['reportFeatures'] = reportFeatures() self['sortByMetrics'] = sortByMetrics() self['viewDimensions'] = viewDimensions() self['viewMetrics'] = viewMetrics() self['timeRange'] = timeRange() self.avr_session = requests.session() self.avr_session.verify = False self.avr_session.headers.update({'Content-Type': 'application/json'}) # for multiple queued request handling. self.req_queue = [] self.generate_id = None self.done = None self.result = None self.num_requests = 0 self.res_queue = [] def post_and_response(self): """ returns a python representation of the json response to the request. failure returns array ['ERROR','component',error] """ warnings.filterwarnings("ignore") self.generate_request = self.avr_session.post(self.req_url_base + "/generate-report/", data=json.dumps(self)) self.generate_request_py = json.loads(self.generate_request.text) self.result_guid = self.generate_request_py['id'] self.results_status_url = self.req_url_base + "/generate-report/" + self.result_guid + "/?$select=status,reportResultsLink" self.results_url = self.req_url_base + "/report-results/" + self.result_guid self.sleeptime = .5 for i in range(5): time.sleep(self.sleeptime) self.sleeptime *= 2 # double backoff period each time. self.status_results_json = self.avr_session.get(self.results_status_url) self.status_results = json.loads(self.status_results_json.text) if self.status_results['status'] == 'FAILED': self.result = avr_resp() self.result_error_layer = 'REST' self.result_error_code = self.status_results['status'] self.result.error_text = self.status_results if self.status_results['status'] == 'FINISHED': self.raw_results_url = self.status_results['reportResultsLink'] self.results_url = self.raw_results_url.replace('localhost', self.host_name) self.results = self.avr_session.get(self.results_url) if self.results.status_code == 200: self.result = avr_resp() self.result.update(json.loads(self.results.text)) return self.result else: self.result = avr_resp() self.result.error_layer = 'HTTP' self.result.error_code = self.results.status_code self.result.error_text = self.results return self.result else: continue self.result = avr_resp() self.result.error_layer = 'REST_AVR' self.result.error_code = '408' self.result.error_text = 'TIMEOUT' def auth(self, user, passw): """ avr_req.auth(user, passw): username and password """ self.avr_session.auth = (user, passw) def url_base(self, host, module): """ avr_req.url_base(host, module) host and bigip module AVR queries to construct the URL to make the request. """ self.host_name = host self.req_url_base = 'https://%s/mgmt/tm/analytics/%s' % (host, module) self.module_py = {'analyticsModule': module} def add_to_queue(self): "adds request as currently constructed to queue" self.req_queue.append(deepcopy(self)) def clear_queue(self): """" clears request queue """ del self.req_queue[:] def post_and_response_queue(self): """ posts and sends response to from queue of requests. """ warnings.filterwarnings("ignore") for req in self.req_queue: req.generate_request = req.avr_session.post(req.req_url_base + "/generate-report/", data=json.dumps(req)) req.generate_request_py = json.loads(req.generate_request.text) req.generate_id = (req.generate_request_py['id']) req.results_status_url = self.req_url_base + "/generate-report/" + req.generate_id + "/?$select=status,reportResultsLink" self.sleeptime = .5 self.num_requests = len(self.req_queue) for i in range(5): for req in self.req_queue: if req.done is None: time.sleep(self.sleeptime) self.sleeptime *= 2 # double backoff period each time. req.status_results_json = req.avr_session.get(req.results_status_url) req.status_results = json.loads(req.status_results_json.text) if req.status_results['status'] == 'FAILED': req.result = avr_resp() req.result_error['layer'] = 'REST' req.result_error['error'] = req.status_results['status'] req.result_error['text'] = req.status_results if req.status_results['status'] == 'FINISHED': req.raw_results_url = req.status_results['reportResultsLink'] req.results_url = req.raw_results_url.replace('localhost', self.host_name) req.results = self.avr_session.get(req.results_url) if req.results.status_code == 200: req.result = avr_resp() req.result.update(json.loads(req.results.text)) req.done = True self.res_queue.append(req.result) self.num_requests -= 1 else: req.result = avr_resp() req.result_error.layer = 'HTTP' req.result_error.code = req.results.status_code req.result_error.text = req.results self.res_queue.append(req.result) if i == 5: if req.result == False: req.result = avr_resp() req.result.error_layer = 'REST_AVR' req.result.error_error = '408' req.result.error_text = 'TIMEOUT' if self.num_requests == 0: break return self.res_queue ShowAVRJsonApi = """ reportFeatures -------------- Specifies the kind of information that appears in a response from AVR. You may specify one or more of the following values: existing-entities time-aggregated time-series entities-count viewDimensions -------------- Specifies the dimensions for which to calculate a report, such as: {"dimensionName": "domain-name"} You may only specify a single dimension. You may omit this field in a report generation request. viewMetrics ----------- Specifies the list of metrics by which to sort results, such as: { "metricName": "average-tps" }, { "metricName": "transactions" } If you specify either time-aggregated or time-series features, you must specify one metric in a report generation request. sortByMetrics -------------- Specifies the list of metrics to sort by, such as: [{ metricName: "average-tps", order:"descending" } ] Valid values are ascending and descending. Sorting only applies to the time-aggregated feature. You do not need to specify this field in a report generation request. timeRange --------- Specifies the time range, in microseconds, for which to calculate a report, such as: {"from": 1410420888000000, "to": 1410424488000000 } You do not need to specify this field in a report generation request. entityFilters ============= Specifies the entities and values for which to calculate a report. You can specify a single entity with a second level of dimension filters that describe an aspect of the entity. If you specify multiple entity types, the results include only the entities that match all of the criteria. You do not need to specify this field in a report generation request. The following snippet contains two entities with corresponding values: [[{ "dimensionName" : "virtual", "predicate": "OPERATOR_TYPE_EQUAL", "values : ["phpAuction_VS_1"] }, { "dimensionName : "response-code", "predicate": "OPERATOR_TYPE_EQUAL", "values" : ["200"] } ]] metricFilters ------------- Specifies the metric filters for which to calculate a report, such as: [{ "metricName": "transactions", "predicate" : metricFilters "OPERATOR_TYPE_GREATER_THAN" "value": 100 }] You do not need to specify this field in a report generation request. For the existing-entities feature, AVR supports the OPERATOR_TYPE_LIKE predicate. AVR also supports the following predicates: OPERATOR_TYPE_EQUAL OPERATOR_TYPE_NOT_EQUAL OPERATOR_TYPE_GREATER_THAN OPERATOR_TYPE_LOWER_THAN OPERATOR_TYPE_GREATER_THAN_OR_EQUAL OPERATOR_TYPE_LOWER_THAN_OR_EQUAL pagination ---------- Specifies the number of results to return, and the number of results to skip, such as: { numberOfResults : 10, skipResults : 10} To see the second set of ten results, use the example shown here. AVR does not implement the OData query parameters top or skip. In order to see a specific set of results, you must set the number of results to return and then determine how many results to skip. You do not need to specify this field in a report generation request. """ Tested this on version: 12.0
Mark_Lloyd
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module to post and retrieve IControl Rest JSON objects for AVR statistics","conversation":{"__ref":"Conversation:conversation:290993"},"id":"message:290993","revisionNum":2,"uid":290993,"depth":0,"board":{"__ref":"Tkb:board:codeshare"},"author":{"__ref":"User:user:195323"},"teaser@stripHtml({\"removeProcessingText\":true,\"truncateLength\":-1})":"","introduction":"","metrics":{"__typename":"MessageMetrics","views":399},"postTime":"2016-06-26T14:05:08.000-07:00","lastPublishTime":"2023-06-05T22:51:27.504-07:00","body@stripHtml({\"removeProcessingText\":true,\"removeSpoilerMarkup\":true,\"removeTocMarkup\":true,\"truncateLength\":-1})":" Problem this snippet solves: This module simplifies making Python dictionary objects that are converted to IControl rest AVR JSON objects. It also handles making AVR requests and retrieving results as well allowing multiple AVR requests to be queued, posted and retrieved. It also has some basis type checking for the elements of a AVR request. This module requires Bigip 12.1 on the target that statistics are retrieved. How to use this snippet: The main class is rest_avr.avr_req. It is a dictionary class that maps directly to an IControl Rest AVR JSON request as translated by json.dumps. Each dictionary element is an object derived from a customer class for each part of the request. The element classes have add() and clear() functions. if the element class only allows one entry the add() function will replace the existing entry, otherwise it will append the entry to the request element. The rest_avr.avr_req class also has functions to populate the HTTP host and authentication values for the target system. \n rest_avr.avr_req.post_and_response returns the Python representation of the JSON result of the query. \n rest_avr.avr_req.add_to_queue() adds the currently constructed request to a queue of requests to post. \n rest_avr.avr_req.post_and_response_queue() returns a python list of results of queued queries. \n The following code sample constructs, posts and returns results for an AVR statistics request for specific DNS records and a specificrecord type, then queues multiple quests and posts and returns results. \n #!/usr/bin/python\nimport json\nimport sys\nimport time\nimport rest_avr\n\n#print rest_avr.ShowAVRJsonApi\n\n#Populate the url\n\navr_dns_req=rest_avr.avr_req()\navr_dns_req.auth('admin','admin')\navr_dns_req.url_base('10.10.2.113','dns')\n\n#Populate the json object\n\navr_dns_req['analyticsModule'].add('dns')\navr_dns_req['reportFeatures'].add('time-aggregated')\navr_dns_req['entityFilters'].add('domain-name', 'OPERATOR_TYPE_EQUAL', ['test2.test1.com','test1.test1.com'])\navr_dns_req['entityFilters'].add('query-type', 'OPERATOR_TYPE_EQUAL', ['a'])\navr_dns_req['viewMetrics'].add('packets')\navr_dns_req['viewDimensions'].add('domain-name')\navr_dns_req['metricFilters'].add('packets', 'OPERATOR_TYPE_GREATER_THAN', 0)\navr_dns_req['sortByMetrics'].add('packets', 'ascending')\navr_dns_req['pagination'].add(20, 0)\navr_dns_req['timeRange'].add(1461778251000000, None)\n\n#Post and retrieve results.\n\nresult_py=avr_dns_req.post_and_response()\n\nif result_py != None:\n print ('\\n' + result_py['results']['timeAggregated'][0]['dimensions'][0]['value'] + \" \" + result_py['results']['timeAggregated'][0]['metricValues'][0]['value'] + '\\n')\n\nelse:\n print result_py.error_layer\n print result_py.error_code\n print result_py.error_text\n\n# Now add multiple requests to a queue\navr_dns_req.add_to_queue()\n\navr_dns_req['entityFilters'].clear()\navr_dns_req['entityFilters'].add('query-type', 'OPERATOR_TYPE_EQUAL', ['aaaa'])\navr_dns_req.add_to_queue()\n\n#post and retrieve queued results\nresult_py_q=avr_dns_req.post_and_response_queue()\n\nfor result_py in result_py_q:\n\n if result_py != None:\n print ('\\n' + result_py['results']['timeAggregated'][0]['dimensions'][0]['value'] + \" \" + result_py['results']['timeAggregated'][0]['metricValues'][0]['value'] + '\\n')\n else:\n print result_py.error_layer\n print result_py.error_code\n print result_py.error_text\n Code : \"\"\"\nrest_avr provides a python interface to Bigip AVR statistics using the REST API. The main Python rest_avr.avr_req\nobject is a Python dictionary that maps to a JSON object that can be processed with the json.dumps() function\n\nAn IControl Rest AVR JSON request and response can be initiated with avr_req.post_and_response\n\nThe simple description of the API can is available at avr_req.ShowJsonApi()\n\nEach of these modules has a method to add single or multiple elements as appropriate to the specific module.\nOnce these elements are are populated a RestAPI request can be made with results returned as a python\nrepresentation.\n\n\navr_req.auth(user, passw)\navr_req.url_base(host, module)\n\navr_req['analyticsModule'].add(module)\navr_req['analyticsModule'].clear()\n\navr_req['reportFeatures'].add(metric_name, predicate, value)\navr_req['reportFeatures'].clear()\n\navr_req['entityFilters'].add(dimension_name, predicate, values)\navr_req['entityFilters'].clear()\n\navr_req['viewMetrics'].add(metric_name)\navr_req['viewMetrics'].clear()\n\navr_req['viewDimensions'].add(metric_name, order)\navr_req['viewDimensions'].clear()\n\navr_req['metricFilters'].add(metric_name, predicate, valu)\navr_req['metricFilters'].clear()\n\navr_req['sortByMetrics'].add(metric_name, orde)\navr_req['sortByMetrics'].clear()\n\navr_req['pagination'].add(num_results, skip_result)\navr_req['pagination'].clear()\n\navr_req['timeRange'].add(t_from, t_to)\navr_req['timeRange'].clear()\n\n\nAfter a request in constructed a REST API call is initiated with initiated with:\n\navr_req.post_and_response()\n\nThe response is a python dictionary data structure of the results as processed by json.loads\n\n\"\"\"\n\n\n\nfrom copy import deepcopy\nimport requests\nimport json\nimport sys\nimport time\nimport warnings\n\n__author__ = 'Mark Lloyd'\n__version__ = '1.0'\n\n# 05/24/2016\nimport json\nimport requests\nimport time\n\n\nclass BadDictElement(Exception):\n def __init__(self, key, value, expl):\n Exception.__init__(self, '{0} {1} {2} '.format(key, value, expl))\n\n\nclass BadTime(Exception):\n def __init__(self, variable, value):\n Exception.__init__(self, '{0} {1} should be 16 char decimal in microseconds '.format('a', 'b'))\n\n\nclass RequestFailure(Exception):\n def __init__(self, key, value):\n Exception.__init__(self, '{0} {1} '.format(key, value))\n\n\nclass analyticsModule(str):\n \"\"\"\n This class is tied to the structure of the parent class.\n parent() get's the parent object so we can make the string pseudo-mutable.\n accessed from within an avr request\n\n ['analyticsModule'].add(module)\n Adds a single string to analyticsModule element . If one exists it is replaced.\n\n ['analyticsModule'].clear()\n Send a null value to the analyticsModule element.\n\n See rest_avr.ShowAVRJsonApi for more details\n\n\n \"\"\"\n\n def parent(self, parent):\n self.parent = parent\n\n def add(self, module):\n \"\"\"\n avr_req.['analyticsModule'].add(module)\n Adds a single string to analyticsModule element . If one already exists it is replaced.\n This should be the same as the module string in avr_req.url_base.\n \"\"\"\n self.parent['analyticsModule'] = analyticsModule(module)\n self.parent['analyticsModule'].parent = self.parent\n\n def clear(self):\n \"\"\"\n avr_req.['analyticsModule'].add(module)\n replaces the analyticsModule mddule with a null string\n \"\"\"\n self.parent['analyticsModule'] = analyticsModule('')\n self.parent['analyticsModule'].parent = self.parent\n\n\nclass metricFilters(list):\n \"\"\"\n avr_req.['metricFilters'].add(metric_name, predicate, value)\n\n metric name is a string, value is an integer\n\n Valid predicates strings are ['OPERATOR_TYPE_EQUAL', 'OPERATOR_TYPE_NOT_EQUAL', 'OPERATOR_TYPE_GREATER_THAN',\n OPERATOR_TYPE_LOWER_THAN','OPERATOR_TYPE_GREATER_THAN_OR_EQUAL', 'OPERATOR_TYPE_LOWER_THAN_OR_EQUAL'])\n\n avr_req['metricFilters'].clear()\n Clears metricFilters elements\n\n See rest_avr.ShowAVRJsonApi for more details.\n\n \"\"\"\n\n def __init__(self):\n self.append([])\n self.valid_metric_predicate = (\n ['OPERATOR_TYPE_EQUAL', 'OPERATOR_TYPE_NOT_EQUAL', 'OPERATOR_TYPE_GREATER_THAN', 'OPERATOR_TYPE_LOWER_THAN',\n 'OPERATOR_TYPE_GREATER_THAN_OR_EQUAL', 'OPERATOR_TYPE_LOWER_THAN_OR_EQUAL'])\n\n def add(self, metric_name, predicate, value):\n \"\"\"\n avr_req.['metricFilters'].add(metric_name, predicate, value)\n\n metric name is a string, value is an integer\n\n Valid predicates strings are ['OPERATOR_TYPE_EQUAL', 'OPERATOR_TYPE_NOT_EQUAL', 'OPERATOR_TYPE_GREATER_THAN',\n OPERATOR_TYPE_LOWER_THAN','OPERATOR_TYPE_GREATER_THAN_OR_EQUAL', 'OPERATOR_TYPE_LOWER_THAN_OR_EQUAL']\n \"\"\"\n\n if type(value) is not int:\n raise BadDictElement(metric_name, value, 'value should be integer')\n\n if predicate in self.valid_metric_predicate:\n # first check if it is already there\n for metric in self[0]:\n if metric['metricName'] == metric_name:\n metric['predicate'] = predicate\n metric['value'] = value\n return 0\n # if it is not there then just add it.\n self[0].append({'metricName': metric_name, 'predicate': predicate, 'value': value})\n else:\n raise BadDictElement(metric_name, predicate, 'invalid predicate')\n\n def clear(self):\n \"\"\"\n avr_req['metricFilters'].clear()\n Clears metricFilters elements\n \"\"\"\n del self[0][:]\n\n\nclass entityFilters(list):\n \"\"\"\n avr_req.['entityFilters'].add(dimension_name, predicate, values):\n All values are strings\n valid predicate is 'OPERATOR_TYPE_EQUAL'\n\n ['entityFilters'].clear()\n Clears the entityFilters element\n\n See rest_avr.ShowJsonApi for more details\n \"\"\"\n\n def __init__(self):\n self.append([])\n\n def add(self, dimension_name, predicate, values):\n \"\"\"\n avr_req.['entityFilters'].add(dimension_name, predicate, values):\n All values are strings\n valid predicate is 'OPERATOR_TYPE_EQUAL'\n \"\"\"\n if predicate is 'OPERATOR_TYPE_EQUAL':\n # then loop throuth to see if the dimenson name already exists, if so replace\n for entity in self[0]:\n if entity['dimensionName'] == dimension_name:\n entity['predicate'] = predicate\n entity['values'] = values\n return 0\n # if it is not there then just add it.\n self[0].append({'dimensionName': dimension_name, 'predicate': predicate, 'values': values})\n\n else:\n raise BadDictElement(dimension_name, predicate, 'predicate must be OPERATOR_TYPE_EQUAL')\n\n def clear(self):\n \"\"\"\n ['entityFilters'].clear()\n Clears the entityFilters element\n \"\"\"\n del self[0][:]\n\n\nclass reportFeatures(list):\n \"\"\"\n avr_req.['reportFeatures'].add( feature)\n adds report feature string. Multiple features are permitted.\n\n ['reportFeatures'].clear()\n Clears the analyticsModule element.\n\n See rest_avr.ShowAVRJsonApi for more details.\n \"\"\"\n\n def add(self, feature):\n \"\"\"\n avr_req.['reportFeatures'].add( feature)\n adds report feature string. Multiple features are permitted\n .\"\"\"\n if feature not in self:\n self.append(feature)\n\n def clear(self):\n \"\"\"\n ['reportFeatures'].clear()\n Clears the entityFilters element\n \"\"\"\n del self[:]\n\n\nclass sortByMetrics(list):\n \"\"\"\n avr_req.['sortByMetrics'].add(metric_name, order)\n\n valid order names are 'ascending' and 'descending'\n sortByMetrics is optional in an AVR request.\n\n avr_req['sortByMetrics'].clear()\n Clears the sortByMetrics element.\n\n See rest_avr.ShowAVRJsonApi for more details.\n \"\"\"\n\n def __init__(self):\n self.metric_list = []\n\n def add(self, metric_name, order):\n if metric_name not in self.metric_list:\n self.append({'metricName': metric_name, 'order': order})\n self.metric_list.append(metric_name)\n\n def clear(self):\n \"\"\"\n ['sortByMetrics'].clear()\n Clears the sortByMetrics element\n \"\"\"\n del self[:]\n del self.metric_list[:]\n\n\nclass viewDimensions(list):\n \"\"\"\n avr_req.['viewDimensions'].add(dimension_name):\n adds view dimension, only one dimension is allowed\n add will replace element if it already exists\n\n avr_req['viewDimensions'].clear()\n Clears the viewDimensions element.\n\n See rest_avr.ShowAVRJsonApi for more details.\n \"\"\"\n\n def __init__(self):\n self.append([])\n self[0] = {}\n\n def add(self, dimension_name):\n \"\"\"\n avr_req.['viewDimensions'].add(dimension_name):\n adds view dimension string, only one dimension is allowed\n add will replace element if it already exists\n \"\"\"\n self[0]['dimensionName'] = dimension_name\n\n def clear(self, dimension_name):\n \"\"\"\n ['viewDimensions'].clear()\n Clears the viewDimensions element\n \"\"\"\n del self[0][:]\n\n\nclass viewMetrics(list):\n \"\"\"\n avr_req.['viewMetrics'].add(metric_name):\n appends metric_name string to list. The specification\n allows multiple view metric elements\n\n avr_req['viewMetrics'].clear()\n Clears the viewMetrics elements\n\n See rest_avr.ShowAVRJsonApi for more details.\n \"\"\"\n\n def __init__(self):\n self.metric_list = []\n\n def add(self, metric_name):\n \"\"\"\n avr_req.['viewMetrics'].add(metric_name):\n appends metric_name string to list. The specification\n allows multiple viewMetric elements\n \"\"\"\n\n if metric_name not in self.metric_list:\n self.append({'metricName': metric_name})\n self.metric_list.append(metric_name)\n\n def clear(self):\n \"\"\"\n ['viewMetrics'].clear()\n Clears the viewMetrics elements\n \"\"\"\n del self[:]\n del self.metric_list[:]\n\n\nclass timeRange(dict):\n \"\"\"\n avr_req.['timeRange'].add( t_from, t_to)\n both values are 16 digit numeric value in microseconds\n of unix/linux time. t_to is optional and can be replace by None\n\n timeRange is an optional.\n\n avr_req['timeRange'].clear()\n Clears the timeRange elements\n\n See rest_avr.ShowAVRJsonApi for more details.\n \"\"\"\n\n def add(self, t_from, t_to):\n \"\"\"\n avr_req.['timeRange'].add( t_from, t_to)\n both values are 16 digit numeric value in microseconds\n of unix/linux time. t_to is optional and can be replace by None\n\n timeRange is optional.\n \"\"\"\n if type(t_from) is long and len(str(t_from)) == 16:\n self['from'] = t_from\n else:\n raise BadTime(t_from + \" is 16 digit numeric value in microseconds\")\n\n if t_to != '' and t_to != 0 and t_to != None:\n if type(t_to) is long and len(str(t_from)) == 16:\n self['to'] = t_to\n else:\n raise BadTime(t_to + \" is 16 digit numeric value in microseconds\")\n else:\n if 'to' in self.keys():\n del self['to']\n\n def clear(self):\n \"\"\"\n ['timeRange'].clear()\n Clears the timeRange element\n \"\"\"\n del self[:]\n\n\nclass pagination(dict):\n \"\"\"\n avr_req.['pagination'].add(num_results, skip_results)\n both are integer values.\n\n avr_req['pagination'].clear()\n Clears the pagination elements\n\n See rest_avr.ShowAVRJsonApi for more details.\n \"\"\"\n\n def add(self, num_results, skip_results):\n \"\"\"\n avr_req.['pagination'].add(num_results, skip_results)\n both arguments are integers.\n \"\"\"\n if type(num_results) is int:\n self['numberOfResults'] = num_results\n else:\n raise BadDictElement('number of Results ', num_results, 'must be integer')\n if type(skip_results) is int:\n self['skipResults'] = skip_results\n else:\n raise BadDictElement('skipResults ', skip_results, 'must be integer')\n\n def clear(self):\n \"\"\"\n ['pagination'].clear()\n Clears the pagination element\n \"\"\"\n del self[:]\n\n\nclass avr_resp(dict):\n \"\"\"\n python response error is applicable.\n \"\"\"\n\n def __init__(self):\n self.error_layer = None\n self.error_code = None\n self.error_text = None\n\nclass avr_req(dict):\n \"\"\"\n The main class for rest_avr.\n\n avr_req contains a dictionary that maps to the elements of a Icontrol REST AVR request along with capability of\n posting that request and receiving a response.\n\n The dictionary values are object instances of python classes that correspond to the the JSON values of the\n object's name/value pair.\n\n Each value has two public methods:\n\n avr_req.['objectName']add(): adds an element to the appropriate object with type checking.\n If an element allows more then one instance the add function will append the element\n If an element allows only one instance the add function will replace the element\n\n avr_req.['objectName'].clear()r: clears all elements in the object.\n\n printing rest_avr.ShowAVRJsonApi provides documentation for the AVR JASON elements. Further documentation is\n available on devcentral.f5.com\n\n To post an AVR Rest request there are two functions to populate the HTTP/HTTPS request.\n\n avr_req.auth(user, passw):\n provides the username and password\n avr_req.url_base(host, module)\n provides the host and the bigip module AVR queries to construct the URL to make the request.\n\n Then to post the request and return results in a python representation of the JSON response.\n\n avr_req.post_and_response()\n\n \"\"\"\n\n def __init__(self):\n self['analyticsModule'] = analyticsModule()\n self['analyticsModule'].parent = self\n self['pagination'] = pagination()\n self['metricFilters'] = metricFilters()\n self['entityFilters'] = entityFilters()\n self['reportFeatures'] = reportFeatures()\n self['sortByMetrics'] = sortByMetrics()\n self['viewDimensions'] = viewDimensions()\n self['viewMetrics'] = viewMetrics()\n self['timeRange'] = timeRange()\n\n self.avr_session = requests.session()\n self.avr_session.verify = False\n self.avr_session.headers.update({'Content-Type': 'application/json'})\n\n # for multiple queued request handling.\n self.req_queue = []\n self.generate_id = None\n self.done = None\n self.result = None\n self.num_requests = 0\n self.res_queue = []\n\n def post_and_response(self):\n \"\"\"\n returns a python representation of the json response to the request.\n failure returns array ['ERROR','component',error]\n \"\"\"\n\n warnings.filterwarnings(\"ignore\")\n self.generate_request = self.avr_session.post(self.req_url_base + \"/generate-report/\",\n data=json.dumps(self))\n self.generate_request_py = json.loads(self.generate_request.text)\n self.result_guid = self.generate_request_py['id']\n self.results_status_url = self.req_url_base + \"/generate-report/\" + self.result_guid + \"/?$select=status,reportResultsLink\"\n self.results_url = self.req_url_base + \"/report-results/\" + self.result_guid\n self.sleeptime = .5\n for i in range(5):\n time.sleep(self.sleeptime)\n self.sleeptime *= 2 # double backoff period each time.\n\n self.status_results_json = self.avr_session.get(self.results_status_url)\n self.status_results = json.loads(self.status_results_json.text)\n\n if self.status_results['status'] == 'FAILED':\n self.result = avr_resp()\n self.result_error_layer = 'REST'\n self.result_error_code = self.status_results['status']\n self.result.error_text = self.status_results\n\n if self.status_results['status'] == 'FINISHED':\n self.raw_results_url = self.status_results['reportResultsLink']\n self.results_url = self.raw_results_url.replace('localhost', self.host_name)\n self.results = self.avr_session.get(self.results_url)\n\n if self.results.status_code == 200:\n self.result = avr_resp()\n self.result.update(json.loads(self.results.text))\n return self.result\n else:\n self.result = avr_resp()\n self.result.error_layer = 'HTTP'\n self.result.error_code = self.results.status_code\n self.result.error_text = self.results\n return self.result\n\n else:\n\n continue\n\n self.result = avr_resp()\n self.result.error_layer = 'REST_AVR'\n self.result.error_code = '408'\n self.result.error_text = 'TIMEOUT'\n\n\n def auth(self, user, passw):\n \"\"\"\n avr_req.auth(user, passw):\n username and password\n \"\"\"\n self.avr_session.auth = (user, passw)\n\n def url_base(self, host, module):\n \"\"\"\n avr_req.url_base(host, module)\n host and bigip module AVR queries to construct the URL to make the request.\n \"\"\"\n self.host_name = host\n self.req_url_base = 'https://%s/mgmt/tm/analytics/%s' % (host, module)\n self.module_py = {'analyticsModule': module}\n\n def add_to_queue(self):\n \"adds request as currently constructed to queue\"\n self.req_queue.append(deepcopy(self))\n\n def clear_queue(self):\n \"\"\"\"\n clears request queue\n \"\"\"\n del self.req_queue[:]\n\n def post_and_response_queue(self):\n \"\"\"\n posts and sends response to from queue of requests.\n \"\"\"\n warnings.filterwarnings(\"ignore\")\n for req in self.req_queue:\n req.generate_request = req.avr_session.post(req.req_url_base + \"/generate-report/\",\n data=json.dumps(req))\n req.generate_request_py = json.loads(req.generate_request.text)\n req.generate_id = (req.generate_request_py['id'])\n req.results_status_url = self.req_url_base + \"/generate-report/\" + req.generate_id + \"/?$select=status,reportResultsLink\"\n\n self.sleeptime = .5\n self.num_requests = len(self.req_queue)\n\n for i in range(5):\n\n for req in self.req_queue:\n\n if req.done is None:\n\n time.sleep(self.sleeptime)\n self.sleeptime *= 2 # double backoff period each time.\n req.status_results_json = req.avr_session.get(req.results_status_url)\n req.status_results = json.loads(req.status_results_json.text)\n\n if req.status_results['status'] == 'FAILED':\n req.result = avr_resp()\n req.result_error['layer'] = 'REST'\n req.result_error['error'] = req.status_results['status']\n req.result_error['text'] = req.status_results\n if req.status_results['status'] == 'FINISHED':\n req.raw_results_url = req.status_results['reportResultsLink']\n req.results_url = req.raw_results_url.replace('localhost', self.host_name)\n req.results = self.avr_session.get(req.results_url)\n if req.results.status_code == 200:\n req.result = avr_resp()\n req.result.update(json.loads(req.results.text))\n req.done = True\n self.res_queue.append(req.result)\n self.num_requests -= 1\n\n else:\n\n req.result = avr_resp()\n req.result_error.layer = 'HTTP'\n req.result_error.code = req.results.status_code\n req.result_error.text = req.results\n self.res_queue.append(req.result)\n if i == 5:\n if req.result == False:\n req.result = avr_resp()\n req.result.error_layer = 'REST_AVR'\n req.result.error_error = '408'\n req.result.error_text = 'TIMEOUT'\n\n\n if self.num_requests == 0:\n break\n\n\n\n return self.res_queue\n\n\nShowAVRJsonApi = \"\"\"\nreportFeatures\n--------------\nSpecifies the kind of information that appears in a\nresponse from AVR. You may specify one or more of the\nfollowing values:\n\nexisting-entities\ntime-aggregated\ntime-series\nentities-count\n\nviewDimensions\n--------------\nSpecifies the dimensions for which to calculate a report,\nsuch as:\n\n{\"dimensionName\": \"domain-name\"}\n\nYou may only specify a single dimension. You may omit\nthis field in a report generation request.\n\nviewMetrics\n-----------\nSpecifies the list of metrics by which to sort results, such\nas:\n\n{ \"metricName\": \"average-tps\" },\n{ \"metricName\": \"transactions\" }\n\nIf you specify either time-aggregated or\ntime-series features, you must specify one metric in\na report generation request.\n\nsortByMetrics\n--------------\nSpecifies the list of metrics to sort by, such as:\n[{ metricName: \"average-tps\", order:\"descending\" } ]\n\nValid values are ascending and descending. Sorting\nonly applies to the time-aggregated feature. You do\nnot need to specify this field in a report generation request.\n\ntimeRange\n---------\nSpecifies the time range, in microseconds, for which to\ncalculate a report, such as:\n\n{\"from\": 1410420888000000, \"to\": 1410424488000000 }\n\nYou do not need to specify this field in a report generation\nrequest.\n\nentityFilters\n=============\nSpecifies the entities and values for which to calculate a\nreport. You can specify a single entity with a second level\nof dimension filters that describe an aspect of the entity.\nIf you specify multiple entity types, the results include\nonly the entities that match all of the criteria. You do not\nneed to specify this field in a report generation request.\nThe following snippet contains two entities with\ncorresponding values:\n\n[[{\n\"dimensionName\" : \"virtual\",\n\"predicate\": \"OPERATOR_TYPE_EQUAL\",\n\"values : [\"phpAuction_VS_1\"] },\n{\n\"dimensionName : \"response-code\",\n\"predicate\": \"OPERATOR_TYPE_EQUAL\",\n\"values\" : [\"200\"] }\n]]\n\nmetricFilters\n-------------\nSpecifies the metric filters for which to calculate a report,\nsuch as:\n\n[{ \"metricName\": \"transactions\",\n\"predicate\" :\nmetricFilters\n\"OPERATOR_TYPE_GREATER_THAN\" \"value\":\n100 }]\n\nYou do not need to specify this field in a report generation\nrequest. For the existing-entities feature, AVR\nsupports the OPERATOR_TYPE_LIKE predicate. AVR also\nsupports the following predicates:\n\nOPERATOR_TYPE_EQUAL\nOPERATOR_TYPE_NOT_EQUAL\nOPERATOR_TYPE_GREATER_THAN\nOPERATOR_TYPE_LOWER_THAN\nOPERATOR_TYPE_GREATER_THAN_OR_EQUAL\nOPERATOR_TYPE_LOWER_THAN_OR_EQUAL\n\npagination\n----------\nSpecifies the number of results to return, and the number\nof results to skip, such as:\n\n{ numberOfResults : 10, skipResults : 10}\n\nTo see the second set of ten results, use the example\nshown here. AVR does not implement the OData query\nparameters top or skip. In order to see a specific set of\nresults, you must set the number of results to return and\nthen determine how many results to skip. 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