def init(self, resource, probe_vars): """ Probe contains the actual Probe parameters (from Models/DB) for requests and a list of response Checks with their functions and parameters :param resource: :param probe_vars: :return: None """ self._resource = resource self._probe_vars = probe_vars self._parameters = probe_vars.parameters self._check_vars = probe_vars.check_vars self.response = None # Create ProbeResult object that gathers all results for single Probe self.result = ProbeResult(self, self._probe_vars)
class Probe(Plugin): """ Base class for specific implementations to run a Probe with Checks. Most Probes can be implemented using REQUEST_TEMPLATES parameterized via actualized PARAM_DEFS but specialized Probes may implement their own Requests and Checks, for example by "drilling down" through OWS services on an OGC OWS endpoint starting at the Capabilities level or for specific WWW:LINK-based REST APIs. """ # Generic attributes, subclassses override RESOURCE_TYPE = 'Not Applicable' """ Type of GHC Resource e.g. 'OGC:WMS', default not applicable. """ # Request attributes, defaults, subclasses override REQUEST_METHOD = 'GET' """ HTTP request method capitalized, GET (default) or POST. """ REQUEST_HEADERS = {} """ `dict` of optional requests headers. """ REQUEST_TEMPLATE = '' """ Template in standard Python `str.format(*args)`. The variables like {service} and {version} within a template are filled from actual values for parameters defined in PARAM_DEFS and substituted from values or constant values specified by user in GUI and stored in DB. """ # Parameter definitions and possible Checks, # subclassses override PARAM_DEFS = {} """ Parameter definitions mostly for `REQUEST_TEMPLATE` but potential other uses in specific Probe implementations. Format is `dict` where each key is a parameter name and the value a `dict` of: `type`, `description`, `required`, `default`, `range` (value range) and optional `value` item. If `value` specified, this value becomes fixed (non-editable) unless overridden in subclass. """ CHECKS_AVAIL = {} """ Available Check (classes) for this Probe in `dict` format. Key is a Check class (string), values are optional (default `{}`). In the (constant) value 'parameters' and other attributes for Check.PARAM_DEFS can be specified, including `default` if this Check should be added to Probe on creation. """ METADATA_CACHE = {} """ Cache for metadata, like capabilities documents or OWSLib Service instances. Saves doing multiple requests/responses. In particular for endpoints with 50+ Layers. """ def __init__(self): Plugin.__init__(self) # # Lifecycle : optionally expand params from Resource metadata def expand_params(self, resource): """ Called after creation. Use to expand PARAM_DEFS, e.g. from Resource metadata like WMS Capabilities. See e.g. WmsGetMapV1 class. :param resource: :return: None """ pass def get_metadata(self, resource, version='any'): """ Get metadata, specific per Resource type. :param resource: :param version: :return: Metadata object """ return 'md' def get_metadata_cached(self, resource, version='any'): """ Get metadata, specific per Resource type, get from cache if cached. :param resource: :param version: :return: Metadata object """ key = '%s_%s_%s' % (resource.url, resource.resource_type, version) metadata = None if key in Probe.METADATA_CACHE: entry = Probe.METADATA_CACHE[key] delta = datetime.datetime.utcnow() - entry['time'] metadata = entry['metadata'] # Don't keep cache forever, refresh every N mins if delta.seconds > App.get_config()['GHC_METADATA_CACHE_SECS']: entry = Probe.METADATA_CACHE.pop(key) del entry metadata = None if not metadata: # Get actual metadata, Resource-type specifc metadata = self.get_metadata(resource, version) if metadata and App.get_config()['GHC_METADATA_CACHE_SECS'] > 0: # Store entry with time, for expiry later entry = { "metadata": metadata, "time": datetime.datetime.utcnow() } Probe.METADATA_CACHE[key] = entry return metadata # Lifecycle def init(self, resource, probe_vars): """ Probe contains the actual Probe parameters (from Models/DB) for requests and a list of response Checks with their functions and parameters :param resource: :param probe_vars: :return: None """ self._resource = resource self._probe_vars = probe_vars self._parameters = probe_vars.parameters self._check_vars = probe_vars.check_vars self.response = None # Create ProbeResult object that gathers all results for single Probe self.result = ProbeResult(self, self._probe_vars) # # Lifecycle def exit(self): pass def get_var_names(self): var_names = Plugin.get_var_names(self) var_names.extend([ 'RESOURCE_TYPE', 'REQUEST_METHOD', 'REQUEST_HEADERS', 'REQUEST_TEMPLATE', 'CHECKS_AVAIL' ]) return var_names def expand_check_vars(self, checks_avail): for check_class in checks_avail: check_avail = checks_avail[check_class] check = Factory.create_obj(check_class) check_vars = Plugin.copy(check.get_plugin_vars()) # Check if Probe class overrides Check Params # mainly "value" entries. if 'set_params' in check_avail: set_params = check_avail['set_params'] for set_param in set_params: if set_param in check_vars['PARAM_DEFS']: param_orig = check_vars['PARAM_DEFS'][set_param] param_override = set_params[set_param] param_def = Plugin.merge(param_orig, param_override) check_vars['PARAM_DEFS'][set_param] = param_def checks_avail[check_class] = check_vars return checks_avail def get_checks_info_defaults(self): checks_avail = self.get_checks_info() checks_avail_default = {} for check_class in checks_avail: check_avail = checks_avail[check_class] # Only include default Checks if specified if 'default' in check_avail and check_avail['default']: checks_avail_default[check_class] = check_avail return checks_avail_default def get_checks_info(self): return Plugin.copy(Plugin.get_plugin_vars(self))['CHECKS_AVAIL'] def get_plugin_vars(self): probe_vars = Plugin.copy(Plugin.get_plugin_vars(self)) probe_vars['CHECKS_AVAIL'] = \ self.expand_check_vars(probe_vars['CHECKS_AVAIL']) return probe_vars def log(self, text): LOGGER.info(text) def before_request(self): """ Before running actual request to service""" pass def after_request(self): """ After running actual request to service""" pass def get_request_headers(self): return self.REQUEST_HEADERS def perform_request(self): """ Perform actual request to service""" # Actualize request query string or POST body # by substitution in template. url_base = self._resource.url request_string = None if self.REQUEST_TEMPLATE: request_string = self.REQUEST_TEMPLATE if '?' in url_base and self.REQUEST_TEMPLATE[0] == '?': self.REQUEST_TEMPLATE = '&' + self.REQUEST_TEMPLATE[1:] if self._parameters: request_parms = self._parameters param_defs = self.get_param_defs() # Expand string list array to comma separated string for param in request_parms: if param_defs[param]['type'] == 'stringlist': request_parms[param] = ','.join(request_parms[param]) request_string = self.REQUEST_TEMPLATE.format(**request_parms) self.log('Requesting: %s url=%s' % (self.REQUEST_METHOD, url_base)) if self.REQUEST_METHOD == 'GET': # Default is plain URL, e.g. for WWW:LINK url = url_base if request_string: # Query String: mainly OWS:* resources url = "%s%s" % (url, request_string) self.response = requests.get(url, headers=self.get_request_headers()) elif self.REQUEST_METHOD == 'POST': self.response = requests.post(url_base, data=request_string, headers=self.get_request_headers()) self.log('response: status=%d' % self.response.status_code) if self.response.status_code / 100 in [4, 5]: self.log('Error response: %s' % (str(self.response.text))) def run_request(self): """ Run actual request to service""" try: self.before_request() self.result.start() self.perform_request() self.result.stop() self.after_request() except: # We must never bailout because of Exception # in Probe. msg = "Probe Err: %s" % str(sys.exc_info()) LOGGER.error(msg) self.result.set(False, msg) def run_checks(self): """ Do the checks on the response from request""" # Config also determines which actual checks are performed # from possible Checks in Probe. Checks are performed # by Check instances. for check_var in self._check_vars: check = None try: check_class = check_var.check_class check = Factory.create_obj(check_class) except: LOGGER.error("Cannot create Check class: %s %s" % (check_class, str(sys.exc_info()))) if not check: continue try: check.init(self, check_var) check.perform() except: msg = "Check Err: %s" % str(sys.exc_info()) LOGGER.error(msg) check.set_result(False, msg) self.log('Check: fun=%s result=%s' % (check_class, check._result.success)) self.result.add_result(check._result) # Lifecycle def calc_result(self): """ Calculate overall result from the Result object""" self.log("Result: %s" % str(self.result)) @staticmethod def run(resource, probe_vars): """ Class method to create and run a single Probe instance. Follows strict sequence of method calls. Each method can be overridden in subclass. """ probe = None try: # Create Probe instance from module.class string probe = Factory.create_obj(probe_vars.probe_class) except: LOGGER.error("Cannot create Probe class: %s %s" % (probe_vars.probe_class, str(sys.exc_info()))) if not probe: return # Initialize with actual parameters probe.init(resource, probe_vars) # Perform request probe.run_request() # Perform the Probe's checks probe.run_checks() # Determine result probe.calc_result() # Lifecycle probe.exit() # Return result return probe.result
class Probe(Plugin): """ Base class for specific implementations to run a Probe with Checks. Most Probes can be implemented using REQUEST_TEMPLATES parameterized via actualized PARAM_DEFS but specialized Probes may implement their own Requests and Checks, for example by "drilling down" through OWS services on an OGC OWS endpoint starting at the Capabilities level or for specific WWW:LINK-based REST APIs. """ # Generic attributes, subclassses override RESOURCE_TYPE = 'Not Applicable' """ Type of GHC Resource e.g. 'OGC:WMS', default not applicable. """ # Request attributes, defaults, subclasses override REQUEST_METHOD = 'GET' """ HTTP request method capitalized, GET (default) or POST. """ REQUEST_HEADERS = {} """ `dict` of optional requests headers. """ REQUEST_TEMPLATE = '' """ Template in standard Python `str.format(*args)`. The variables like {service} and {version} within a template are filled from actual values for parameters defined in PARAM_DEFS and substituted from values or constant values specified by user in GUI and stored in DB. """ # Parameter definitions and possible Checks, # subclassses override PARAM_DEFS = {} """ Parameter definitions mostly for `REQUEST_TEMPLATE` but potential other uses in specific Probe implementations. Format is `dict` where each key is a parameter name and the value a `dict` of: `type`, `description`, `required`, `default`, `range` (value range) and optional `value` item. If `value` specified, this value becomes fixed (non-editable) unless overridden in subclass. """ CHECKS_AVAIL = {} """ Available Check (classes) for this Probe in `dict` format. Key is a Check class (string), values are optional (default `{}`). In the (constant) value 'parameters' and other attributes for Check.PARAM_DEFS can be specified, including `default` if this Check should be added to Probe on creation. """ METADATA_CACHE = {} """ Cache for metadata, like capabilities documents or OWSLib Service instances. Saves doing multiple requests/responses. In particular for endpoints with 50+ Layers. """ def __init__(self): Plugin.__init__(self) # # Lifecycle : optionally expand params from Resource metadata def expand_params(self, resource): """ Called after creation. Use to expand PARAM_DEFS, e.g. from Resource metadata like WMS Capabilities. See e.g. WmsGetMapV1 class. :param resource: :return: None """ pass def get_metadata(self, resource, version='any'): """ Get metadata, specific per Resource type. :param resource: :param version: :return: Metadata object """ return 'md' def get_metadata_cached(self, resource, version='any'): """ Get metadata, specific per Resource type, get from cache if cached. :param resource: :param version: :return: Metadata object """ key = '%s_%s_%s' % (resource.url, resource.resource_type, version) metadata = None if key in Probe.METADATA_CACHE: entry = Probe.METADATA_CACHE[key] delta = datetime.datetime.utcnow() - entry['time'] metadata = entry['metadata'] # Don't keep cache forever, refresh every N mins if delta.seconds > App.get_config()['GHC_METADATA_CACHE_SECS']: entry = Probe.METADATA_CACHE.pop(key) del entry metadata = None if not metadata: # Get actual metadata, Resource-type specifc metadata = self.get_metadata(resource, version) if metadata and App.get_config()['GHC_METADATA_CACHE_SECS'] > 0: # Store entry with time, for expiry later entry = { "metadata": metadata, "time": datetime.datetime.utcnow() } Probe.METADATA_CACHE[key] = entry return metadata # Lifecycle def init(self, resource, probe_vars): """ Probe contains the actual Probe parameters (from Models/DB) for requests and a list of response Checks with their functions and parameters :param resource: :param probe_vars: :return: None """ self._resource = resource self._probe_vars = probe_vars self._parameters = probe_vars.parameters self._check_vars = probe_vars.check_vars self.response = None # Create ProbeResult object that gathers all results for single Probe self.result = ProbeResult(self, self._probe_vars) # # Lifecycle def exit(self): pass def get_var_names(self): var_names = Plugin.get_var_names(self) var_names.extend([ 'RESOURCE_TYPE', 'REQUEST_METHOD', 'REQUEST_HEADERS', 'REQUEST_TEMPLATE', 'CHECKS_AVAIL' ]) return var_names def expand_check_vars(self, checks_avail): for check_class in checks_avail: check_avail = checks_avail[check_class] check = Factory.create_obj(check_class) check_vars = Plugin.copy(check.get_plugin_vars()) # Check if Probe class overrides Check Params # mainly "value" entries. if 'set_params' in check_avail: set_params = check_avail['set_params'] for set_param in set_params: if set_param in check_vars['PARAM_DEFS']: param_orig = check_vars['PARAM_DEFS'][set_param] param_override = set_params[set_param] param_def = Plugin.merge(param_orig, param_override) check_vars['PARAM_DEFS'][set_param] = param_def checks_avail[check_class] = check_vars return checks_avail def get_checks_info_defaults(self): checks_avail = self.get_checks_info() checks_avail_default = {} for check_class in checks_avail: check_avail = checks_avail[check_class] # Only include default Checks if specified if 'default' in check_avail and check_avail['default']: checks_avail_default[check_class] = check_avail return checks_avail_default def get_checks_info(self): return Plugin.copy(Plugin.get_plugin_vars(self))['CHECKS_AVAIL'] def get_plugin_vars(self): probe_vars = Plugin.copy(Plugin.get_plugin_vars(self)) probe_vars['CHECKS_AVAIL'] = \ self.expand_check_vars(probe_vars['CHECKS_AVAIL']) return probe_vars def log(self, text): LOGGER.info(text) def before_request(self): """ Before running actual request to service""" pass def after_request(self): """ After running actual request to service""" pass def get_request_headers(self): return self.REQUEST_HEADERS def perform_request(self): """ Perform actual request to service""" # Actualize request query string or POST body # by substitution in template. url_base = self._resource.url request_string = None if self.REQUEST_TEMPLATE: request_string = self.REQUEST_TEMPLATE if '?' in url_base and self.REQUEST_TEMPLATE[0] == '?': self.REQUEST_TEMPLATE = '&' + self.REQUEST_TEMPLATE[1:] if self._parameters: request_parms = self._parameters param_defs = self.get_param_defs() # Expand string list array to comma separated string for param in request_parms: if param_defs[param]['type'] == 'stringlist': request_parms[param] = ','.join(request_parms[param]) request_string = self.REQUEST_TEMPLATE.format(**request_parms) self.log('Requesting: %s url=%s' % (self.REQUEST_METHOD, url_base)) try: headers = self.get_request_headers() if self.REQUEST_METHOD == 'GET': # Default is plain URL, e.g. for WWW:LINK url = url_base if request_string: # Query String: mainly OWS:* resources url = "%s%s" % (url, request_string) self.response = requests.get(url, headers=headers) elif self.REQUEST_METHOD == 'POST': self.response = requests.post(url_base, data=request_string, headers=headers) except requests.exceptions.RequestException as e: msg = "Request Err: %s %s" % (e.__class__.__name__, str(e)) self.result.set(False, msg) if self.response: self.log('response: status=%d' % self.response.status_code) if self.response.status_code / 100 in [4, 5]: self.log('Error response: %s' % (str(self.response.text))) def run_request(self): """ Run actual request to service""" try: self.before_request() self.result.start() try: self.perform_request() except Exception as e: msg = "Perform_request Err: %s %s" % \ (e.__class__.__name__, str(e)) self.result.set(False, msg) self.result.stop() self.after_request() except Exception as e: # We must never bailout because of Exception # in Probe. msg = "Probe Err: %s %s" % (e.__class__.__name__, str(e)) LOGGER.error(msg) self.result.set(False, msg) def run_checks(self): """ Do the checks on the response from request""" # Do not run Checks if Probe already failed if not self.result.success: return # Config also determines which actual checks are performed # from possible Checks in Probe. Checks are performed # by Check instances. for check_var in self._check_vars: check = None try: check_class = check_var.check_class check = Factory.create_obj(check_class) except Exception: LOGGER.error("Cannot create Check class: %s %s" % (check_class, str(sys.exc_info()))) if not check: continue try: check.init(self, check_var) check.perform() except Exception: msg = "Check Err: %s" % str(sys.exc_info()) LOGGER.error(msg) check.set_result(False, msg) self.log('Check: fun=%s result=%s' % (check_class, check._result.success)) self.result.add_result(check._result) # Lifecycle def calc_result(self): """ Calculate overall result from the Result object""" self.log("Result: %s" % str(self.result)) @staticmethod def run(resource, probe_vars): """ Class method to create and run a single Probe instance. Follows strict sequence of method calls. Each method can be overridden in subclass. """ probe = None try: # Create Probe instance from module.class string probe = Factory.create_obj(probe_vars.probe_class) except Exception: LOGGER.error("Cannot create Probe class: %s %s" % (probe_vars.probe_class, str(sys.exc_info()))) if not probe: return # Initialize with actual parameters probe.init(resource, probe_vars) # Perform request probe.run_request() # Perform the Probe's checks probe.run_checks() # Determine result probe.calc_result() # Lifecycle probe.exit() # Return result return probe.result