Files
netbox-sync/module/netbox/object_classes.py
Ricardo Bartels edfa48ddcf initial commit
ALL WORK IN PROGRESS
2020-10-26 16:35:57 +01:00

625 lines
19 KiB
Python

import json
import logging
import pprint
from module.common.misc import grab, do_error_exit, dump
from module.common.logging import get_logger
log = get_logger()
class NetBoxObject():
default_attributes = {
"data": None,
"is_new": True,
"nb_id": 0,
"updated_items": list(),
"is_present_in_source": False,
"source": None,
}
# keep handle to inventory instance to append objects on demand
inventory = None
def __init__(self, data=None, read_from_netbox=False, inventory=None, source=None):
# inherit and create default attributes from parent
for attr_key, attr_value in self.default_attributes.items():
if isinstance(attr_value, (list, dict, set)):
setattr(self, attr_key, attr_value.copy())
else:
setattr(self, attr_key, attr_value)
# store provided inventory handle
self.inventory = inventory
# store source handle
if source is not None:
self.source = source
self.update(data=data, read_from_netbox=read_from_netbox)
def __repr__(self):
return "<%s instance '%s' at %s>" % (self.__class__.__name__, self.get_display_name(), id(self))
def to_dict(self):
out = dict()
for key in dir(self):
value = getattr(self, key)
if "__" in key:
continue
if callable(value) is True:
continue
if key in ["inventory", "default_attributes"]:
continue
if key == "data_model":
data_model = dict()
for dkey, dvalue in value.items():
# if value is class name then print class name
if type(dvalue) == type:
dvalue = str(dvalue)
data_model[dkey] = dvalue
value = data_model
if key == "data":
data = dict()
for dkey, dvalue in value.items():
# if value is class name then print class name
if isinstance(dvalue, NetBoxObject):
dvalue = repr(dvalue)
if dkey == "tags":
dvalue = [x.get_display_name() for x in dvalue]
data[dkey] = dvalue
value = data
out[key] = value
return out
def __str__(self):
return json.dumps(self.to_dict(), sort_keys=True, indent=4)
def __iter__(self):
for key, value in self.to_dict():
yield (key, value)
@staticmethod
def format_slug(text=None, max_len=50):
"""
Format string to comply to NetBox slug acceptable pattern and max length.
:param text: Text to be formatted into an acceptable slug
:type text: str
:return: Slug of allowed characters [-a-zA-Z0-9_] with max length of 50
:rtype: str
"""
if text is None or len(text) == 0:
raise AttributeError("Argument 'text' can't be None or empty!")
permitted_chars = (
"abcdefghijklmnopqrstuvwxyz" # alphabet
"0123456789" # numbers
"_-" # symbols
)
# Replace separators with dash
for sep in [" ", ",", "."]:
text = text.replace(sep, "-")
# Strip unacceptable characters
text = "".join([c for c in text.lower() if c in permitted_chars])
# Enforce max length
return text[0:max_len]
def update(self, data=None, read_from_netbox=False, source=None):
if data is None:
return
if not isinstance(data, dict):
raise AttributeError("Argument 'data' needs to be a dict!")
if data.get("id") is not None:
self.nb_id = data.get("id")
if read_from_netbox is True:
self.is_new = False
self.data = data
self.updated_items = list()
return
if source is not None:
self.source = source
display_name = self.get_display_name(data)
log.debug(f"Parsing '{self.name}' data structure: {display_name}")
parsed_data = dict()
for key, value in data.items():
if key not in self.data_model.keys():
log.error(f"Found undefined data model key '{key}' for object '{self.__class__.__name__}'")
continue
# skip unset values
if value is None:
log.info(f"Found unset/empty key: {key}")
continue
# check data model to see how we have to parse the value
defined_value_type = self.data_model.get(key)
# value must be a string witch a certain max length
if isinstance(defined_value_type, int):
if not isinstance(value, str):
log.error(f"Invalid data type for '{self.__class__.__name__}.{key}' (must be str), got: '{value}'")
continue
value = value[0:defined_value_type]
if key == "slug":
value = self.format_slug(text=value, max_len=defined_value_type)
else:
value = value[0:defined_value_type]
if isinstance(defined_value_type, list):
if value not in defined_value_type:
log.error(f"Invalid data type for '{key}' (must be one of {defined_value_type}), got: '{value}'")
continue
# just check the type of the value
type_check_faild = False
for valid_type in [bool, str, int]:
if defined_value_type == valid_type and not isinstance(value, valid_type):
log.error(f"Invalid data type for '{key}' (must be {valid_type.__name__}), got: '{value}'")
type_check_faild = True
break
if type_check_faild is True:
continue
# this is meant to be reference to a different object
if defined_value_type in NetBoxObject.__subclasses__():
# tags need to be treated as list of dictionaries
if defined_value_type == NBTags:
self.add_tags(value)
continue
if not isinstance(value, NetBoxObject):
# try to find object.
value = self.inventory.add_update_object(defined_value_type, data=value)
# add to parsed data dict
parsed_data[key] = value
# add/update slug
# if data model contains a slug we need to handle it
# so far slug is always referenced to "name"
if "slug" in self.data_model.keys() and data.get("slug") is None and data.get(self.primary_key) is not None:
parsed_data["slug"] = self.format_slug(text=parsed_data.get(self.primary_key), max_len=self.data_model.get("slug"))
# this is a new set of data
if self.data is None:
self.data = parsed_data
# add empty tag list if not tags were provided
if "tags" in self.data_model.keys() and data.get("tags") is None:
self.data["tags"] = list()
# see if data just got updated and mark it as such.
else:
for key, new_value in parsed_data.items():
# nothing changed, continue with next key
current_value = self.data.get(key)
if current_value == new_value:
continue
if self.data_model.get(key) in NetBoxObject.__subclasses__():
if isinstance(current_value, NetBoxObject):
current_value_str = current_value.get_display_name()
else:
current_value_str = str(current_value)
new_value_str = new_value.get_display_name()
# if data model is a list then we need to read the netbox data value
elif isinstance(self.data_model.get(key), list) and isinstance(current_value, dict):
current_value_str = str(current_value.get("value"))
new_value_str = str(new_value)
else:
current_value_str = str(current_value).replace("\r","")
new_value_str = str(new_value).replace("\r","")
# just check again if values might match now
if current_value_str == new_value_str:
continue
self.data[key] = new_value
self.updated_items.append(key)
log.info(f"{self.name.capitalize()} '{display_name}' attribute '{key}' changed from '{current_value_str}' to '{new_value_str}'")
self.resolve_relations()
def get_display_name(self, data=None, including_second_key=False):
this_data_set = data
if data is None:
this_data_set = self.data
if this_data_set is None:
return None
my_name = this_data_set.get(self.primary_key)
secondary_key = getattr(self, "secondary_key", None)
enforce_secondary_key = getattr(self, "enforce_secondary_key", False)
if secondary_key is not None and (enforce_secondary_key is True or including_second_key is True):
secondary_key_value = this_data_set.get(secondary_key)
if isinstance(secondary_key_value, NetBoxObject):
secondary_key_value = secondary_key_value.get_display_name()
if secondary_key_value is not None:
#import pprint
#pprint.pprint(this_data_set)
my_name = f"{my_name} ({secondary_key_value})"
return my_name
def resolve_relations(self):
for key, value in self.data_model.items():
# continue if value is not an NetBox object
if value not in NetBoxObject.__subclasses__():
continue
data_value = self.data.get(key)
resolved_data = None
if value == NBTags:
resolved_tag_list = list()
for tag in data_value:
if isinstance(tag, NetBoxObject):
tag_object = tag
else:
tag_object = self.inventory.get_by_data(value, data=tag)
if tag_object is not None:
resolved_tag_list.append(tag_object)
resolved_data = resolved_tag_list
else:
if data_value is None:
continue
if isinstance(data_value, NetBoxObject):
resolved_data = data_value
else:
data_to_find = None
if isinstance(data_value, int):
data_to_find = {"id": data_value}
elif isinstance(data_value, dict):
data_to_find = data_value
resolved_data = self.inventory.get_by_data(value, data=data_to_find)
if resolved_data is not None:
self.data[key] = resolved_data
else:
log.error(f"Problems resolving relation '{key}' for object '%s' and value '%s'" % (self.get_display_name(), data_value))
def raw(self):
return self.data
def get_dependencies(self):
return [x for x in self.data_model.values() if x in NetBoxObject.__subclasses__()]
def get_tags(self):
return [x.get_display_name() for x in self.data.get("tags", list())]
def update_tags(self, tags, remove=False):
if tags is None or NBTags not in self.data_model.values():
return
action = "Adding" if remove is False else "Removing"
log.debug(f"{action} Tag: {tags}")
new_tags = list()
def extract_tags(this_tags):
if isinstance(this_tags, str):
new_tags.append(this_tags)
elif isinstance(this_tags, dict) and this_tags.get("name") is not None:
new_tags.append(this_tags.get("name"))
if isinstance(tags, list):
for tag in tags:
extract_tags(tag)
else:
extract_tags(tags)
log.debug(f"Tag list: {new_tags}")
current_tags = self.get_tags()
for tag_name in new_tags:
if tag_name not in current_tags and remove == False:
# add tag
tag = self.inventory.add_update_object(NBTags, data={"name": tag_name})
self.data["tags"].append(tag)
if self.is_new is False:
self.updated_items.append("tags")
if tag_name in current_tags and remove == True:
tag = self.inventory.get_by_data(NBTags, data={"name": tag_name})
self.data["tags"].remove(tag)
if self.is_new is False:
self.updated_items.append("tags")
new_tags = self.get_tags()
log.info(f"{self.name.capitalize()} '{self.get_display_name()}' attribute 'tags' changed from '{current_tags}' to '{new_tags}'")
def add_tags(self, tags_to_add):
self.update_tags(tags_to_add)
def remove_tags(self, tags_to_remove):
self.update_tags(tags_to_remove, remove=True)
def get_nb_reference(self):
"""
Default class to return reference of how this object is usually referenced.
default: return NetBox ID
"""
if self.nb_id == 0:
return self
return self.nb_id
class NBTags(NetBoxObject):
name = "tag"
api_path = "extras/tags"
primary_key = "name"
data_model = {
"name": 100,
"slug": 100,
"color": 6,
"description": 200
}
class NBManufacturers(NetBoxObject):
name = "manufacturer"
api_path = "dcim/manufacturers"
primary_key = "name"
data_model = {
"name": 50,
"slug": 50,
"description": 200
}
class NBDeviceTypes(NetBoxObject):
name ="device type"
api_path = "dcim/device-types"
primary_key = "model"
data_model = {
"model": 50,
"slug": 50,
"part_number": 50,
"description": 200,
"manufacturer": NBManufacturers,
"tags": NBTags
}
class NBPlatforms(NetBoxObject):
name = "platform"
api_path = "dcim/platforms"
primary_key = "name"
data_model = {
"name": 100,
"slug": 100,
"manufacturer": NBManufacturers,
"description": 200
}
class NBClusterTypes(NetBoxObject):
name = "cluster type"
api_path = "virtualization/cluster-types"
primary_key = "name"
data_model = {
"name": 50,
"slug": 50,
"description": 200
}
class NBClusterGroups(NetBoxObject):
name = "cluster group"
api_path = "virtualization/cluster-groups"
primary_key = "name"
data_model = {
"name": 50,
"slug": 50,
"description": 200
}
class NBDeviceRoles(NetBoxObject):
name = "device role"
api_path = "dcim/device-roles"
primary_key = "name"
data_model = {
"name": 50,
"slug": 50,
"color": 6,
"description": 200,
"vm_role": bool
}
class NBSites(NetBoxObject):
name = "site"
api_path = "dcim/sites"
primary_key = "name"
data_model = {
"name": 50,
"slug": 50,
"comments": str,
"tags": NBTags
}
class NBClusters(NetBoxObject):
name = "cluster"
api_path = "virtualization/clusters"
primary_key = "name"
data_model = {
"name": 100,
"comments": str,
"type": NBClusterTypes,
"group": NBClusterGroups,
"site": NBSites,
"tags": NBTags
}
class NBDevices(NetBoxObject):
name = "device"
api_path = "dcim/devices"
primary_key = "name"
secondary_key = "site"
data_model = {
"name": 64,
"device_type": NBDeviceTypes,
"device_role": NBDeviceRoles,
"platform": NBPlatforms,
"serial": 50,
"site": NBSites,
"status": [ "offline", "active", "planned", "staged", "failed", "inventory", "decommissioning" ],
"cluster": NBClusters,
"asset_tag": 50,
"tags": NBTags
}
class NBVMs(NetBoxObject):
name = "virtual machine"
api_path = "virtualization/virtual-machines"
primary_key = "name"
secondary_key = "cluster"
data_model = {
"name": 64,
"status": [ "offline", "active", "planned", "staged", "failed", "decommissioning" ],
"cluster": NBClusters,
"role": NBDeviceRoles,
"platform": NBPlatforms,
"vcpus": int,
"memory": int,
"disk": int,
"comments": str,
"tags": NBTags
}
class NBVMInterfaces(NetBoxObject):
name = "virtual machine interface"
api_path = "virtualization/interfaces"
primary_key = "name"
secondary_key = "virtual_machine"
enforce_secondary_key = True
data_model = {
"name": 64,
"virtual_machine": NBVMs,
"enabled": bool,
"mac_address": str,
"description": 200,
"tags": NBTags
}
class NBInterfaces(NetBoxObject):
name = "interface"
api_path = "dcim/interfaces"
primary_key = "name"
secondary_key = "device"
enforce_secondary_key = True
data_model = {
"name": 64,
"device": NBDevices,
"label": 64,
"type": [ "virtual", "100base-tx", "1000base-t", "10gbase-t", "25gbase-x-sfp28", "40gbase-x-qsfpp", "other" ],
"enabled": bool,
"mac_address": str,
"mgmt_only": bool,
"mtu": int,
"description": 200,
"connection_status": bool,
"tags": NBTags
}
class NBIPAddresses(NetBoxObject):
name = "IP address"
api_path = "ipam/ip-addresses"
primary_key = "address"
data_model = {
"address": str,
"assigned_object_type": str,
"assigned_object_id": int,
"description": 200,
"tags": NBTags
}
class NBPrefixes(NetBoxObject):
name = "IP prefix"
api_path = "ipam/prefixes"
primary_key = "prefix"
data_model = {
"prefix": str,
"site": NBSites,
"description": 200,
"tags": NBTags
}
# EOF