core/source/logic/conf.py

def conf_schema_active():
	return {
		"type": "boolean",
		"default": True
	}
	

def conf_schema_threshold():
	return {
		"description": "how often a condition has to occur in order to be reported",
		"type": "integer",
		"minimum": 1,
		"default": 3
	}
	

def conf_schema_annoy():
	return {
		"description": "whether notifications shall be kept sending after the threshold has been surpassed",
		"type": "boolean",
		"default": False
	}
	

def conf_schema_interval(default):
	return {
		"description": "in seconds or as text",
		"anyOf": [
			{
				"type": "integer",
				"exclusiveMinimum": 0
			},
			{
				"type": "string",
				"enum": [
					"minute",
					"hour",
					"day",
					"week",
				]
			},
		],
		"default": default,
	}
	

def conf_schema_schedule():
	return {
		"type": "object",
		"additionalProperties": False,
		"properties": {
			"regular_interval": conf_schema_interval(60 * 60),
			"attentive_interval": conf_schema_interval(60 * 2),
		},
		"required": [
		]
	}
	

def conf_schema_notifications(notification_channel_implementations):
	return {
		"type": "array",
		"items": {
			"anyOf": list(
				map(
					lambda pair: {
						"title": ("check kind '%s'" % pair[0]),
						"type": "object",
						"unevaluatedProperties": False,
						"properties": {
							"kind": {
								"type": "string",
								"enum": [pair[0]]
							},
							"parameters": pair[1].parameters_schema(),
						},
						"required": [
							"kind",
							"parameters"
						]
					},
					notification_channel_implementations.items()
				)
			)
		},
		"default": [
			{
				"kind": "console",
				"parameters": {
				}
			}
		]
	}
	

def conf_schema_root(check_kind_implementations, notification_channel_implementations):
	return {
		"type": "object",
		"additionalProperties": False,
		"properties": {
			"defaults": {
				"description": "default values for checks",
				"type": "object",
				"additionalProperties": False,
				"properties": {
					"active": conf_schema_active(),
					"threshold": conf_schema_threshold(),
					"annoy": conf_schema_annoy(),
					"schedule": conf_schema_schedule(),
					"notifications": conf_schema_notifications(notification_channel_implementations),
				},
				"required": [
				]
			},
			"checks": {
				"type": "array",
				"items": {
					"allOf": [
						{
							"description": "should represent a specific check",
							"type": "object",
							"unevaluatedProperties": False,
							"properties": {
								"name": {
									"type": "string"
								},
								"title": {
									"type": "string"
								},
								"active": conf_schema_active(),
								"threshold": conf_schema_threshold(),
								"annoy": conf_schema_annoy(),
								"schedule": conf_schema_schedule(),
								"notifications": conf_schema_notifications(notification_channel_implementations),
							},
							"required": [
								"name",
							]
						},
						{
							"anyOf": list(
								map(
									lambda pair: {
										"title": ("notification channel '%s'" % pair[0]),
										"type": "object",
										"unevaluatedProperties": False,
										"properties": {
											"kind": {
												"type": "string",
												"enum": [pair[0]]
											},
											"parameters": pair[1].parameters_schema(),
										},
										"required": [
											"kind",
											"parameters"
										]
									},
									check_kind_implementations.items()
								)
							),
						},
					]
				}
			}
		},
		"required": [
			"defaults",
			"checks",
		]
	}
	

def conf_normalize_interval(interval_raw):
	if (type(interval_raw) == int):
		return interval_raw
	elif (type(interval_raw) == str):
		map_ = {
			"minute": (60),
			"hour": (60 * 60),
			"day": (60 * 60 * 24),
			"week": (60 * 60 * 24 * 7),
		}
		if (interval_raw not in map_):
			raise ValueError("invalid string interval value: %s" % interval_raw)
		else:
			return map_[interval_raw]
	else:
		raise ValueError("invalid type for interval value")
	

def conf_normalize_schedule(node):
	node_ = dict_merge(
		{
			"regular_interval": (60 * 60),
			"attentive_interval": (60 * 2),
		},
		node
	)
	return {
		"regular_interval": conf_normalize_interval(node["regular_interval"]),
		"attentive_interval": conf_normalize_interval(node["attentive_interval"]),
	}
	

def conf_normalize_notification(notification_channel_implementations, node):
	if (node["kind"] not in notification_channel_implementations):
		raise ValueError("invalid notification kind: %s" % notification["kind"])
	else:
		return {
			"kind": node["kind"],
			"parameters": notification_channel_implementations[node["kind"]].normalize_conf_node(node["parameters"]),
		}
	

def conf_normalize_defaults(notification_channel_implementations, node):
	node_ = dict_merge(
		{
			"active": True,
			"threshold": 3,
			"annoy": False,
			"schedule": {
				"regular_interval": (60 * 60),
				"attentive_interval": (60 * 2),
			},
			"notifications": [
			],
		},
		node
	)
	return {
		"active": node_["active"],
		"threshold": node_["threshold"],
		"annoy": node_["annoy"],
		"schedule": node_["schedule"],
		"notifications": list(
			map(
				lambda x: conf_normalize_notification(notification_channel_implementations, x),
				node_["notifications"]
			)
		),
	}
	

def conf_normalize_check(check_kind_implementations, notification_channel_implementations, defaults, node):
	if ("name" not in node):
		raise ValueError("missing mandatory field in 'check' node: 'name'")
	else:
		if ("kind" not in node):
			raise ValueError("missing mandatory field in 'check' node: 'kind'")
		else:
			if (node["kind"] not in check_kind_implementations):
				raise ValueError("invalid check kind: '%s'" % node["kind"])
			else:
				node_ = dict_merge(
					{
						"title": node["name"],
						"active": defaults["active"],
						"threshold": defaults["threshold"],
						"annoy": defaults["annoy"],
						"schedule": defaults["schedule"],
						"notifications": defaults["notifications"],
						"parameters": {},
					},
					node
				)
				return {
					"name": node_["name"],
					"title": node_["title"],
					"active": node_["active"],
					"threshold": node_["threshold"],
					"annoy": node_["annoy"],
					"schedule": conf_normalize_schedule(node_["schedule"]),
					"notifications": list(
						map(
							lambda x: conf_normalize_notification(notification_channel_implementations, x),
							node_["notifications"]
						)
					),
					"kind": node_["kind"],
					"parameters": check_kind_implementations[node_["kind"]].normalize_conf_node(node_["parameters"]),
				}
	

def conf_normalize_root(check_kind_implementations, notification_channel_implementations, node):
	counts = {}
	for node_ in node["checks"]:
		if (node_["name"] not in counts):
			counts[node_["name"]] = 0
		counts[node_["name"]] += 1
	fails = list(filter(lambda pair: (pair[1] > 1), counts.items()))
	if (len(fails) > 0):
		raise ValueError(
			string_coin(
				"ambiguous check names: {{names}}",
				{
					"names": ",".join(counts.keys()),
				}
			)
		)
	else:
		defaults = conf_normalize_defaults(notification_channel_implementations, node["defaults"])
		return {
			"defaults": defaults,
			"checks": list(
				map(
					lambda node_: conf_normalize_check(
						check_kind_implementations,
						notification_channel_implementations,
						defaults,
						node_
					),
					node["checks"]
				)
			)
		}