import time
from dateutil.parser import parse


class ProcessHealth():
    """
    Generate Health data points
    """


    def __init__(self, node_metrics: dict, label: str) -> None:
        self.datapoints = []
        self.node_id = node_metrics["node"]
        self.metrics = node_metrics["metrics"]
        self.timestamp = node_metrics["timestamp"]
        self.label = label
    

    def __gen_datapoint(self, measurement: str, label: str, value: float) -> dict:
        """
        Generate data point for each metric
        """
        datapoint = {
            "measurement": measurement,
            "tags": {
                "Label": label,
                "NodeId": self.node_id
            },
            "time": self.timestamp,
            "fields": {
                "Value": value
            }
        }
        return datapoint

    
    def __process_health(self) -> None:
        """
        Process health status, 
        only keep Warning(denoted by 1) and Critical(denoted by 2)
        """
        status = self.metrics.get("Status", None)
        if status:
            health = status.get("Health", None)
            measurement = "Health"
            if health == "Warning":
                value = 1
                datapoint = self.__gen_datapoint(measurement, self.label, value)
                self.datapoints.append(datapoint)
            elif health == "Critical":
                value = 2
                datapoint = self.__gen_datapoint(measurement, self.label, value)
                self.datapoints.append(datapoint)
        return
            
    
    def get_datapoints(self) -> list:
        """
        Return all datapoints
        """
        if self.metrics:
            self.__process_health()
        return self.datapoints


442afc8382be4a518a916643864e5b8f3086ebed
<mask token>


class ProcessHealth:
    <mask token>

    def __init__(self, node_metrics: dict, label: str) ->None:
        self.datapoints = []
        self.node_id = node_metrics['node']
        self.metrics = node_metrics['metrics']
        self.timestamp = node_metrics['timestamp']
        self.label = label
    <mask token>

    def __process_health(self) ->None:
        """
        Process health status, 
        only keep Warning(denoted by 1) and Critical(denoted by 2)
        """
        status = self.metrics.get('Status', None)
        if status:
            health = status.get('Health', None)
            measurement = 'Health'
            if health == 'Warning':
                value = 1
                datapoint = self.__gen_datapoint(measurement, self.label, value
                    )
                self.datapoints.append(datapoint)
            elif health == 'Critical':
                value = 2
                datapoint = self.__gen_datapoint(measurement, self.label, value
                    )
                self.datapoints.append(datapoint)
        return

    def get_datapoints(self) ->list:
        """
        Return all datapoints
        """
        if self.metrics:
            self.__process_health()
        return self.datapoints

<mask token>


class ProcessHealth:
    <mask token>

    def __init__(self, node_metrics: dict, label: str) ->None:
        self.datapoints = []
        self.node_id = node_metrics['node']
        self.metrics = node_metrics['metrics']
        self.timestamp = node_metrics['timestamp']
        self.label = label

    def __gen_datapoint(self, measurement: str, label: str, value: float
        ) ->dict:
        """
        Generate data point for each metric
        """
        datapoint = {'measurement': measurement, 'tags': {'Label': label,
            'NodeId': self.node_id}, 'time': self.timestamp, 'fields': {
            'Value': value}}
        return datapoint

    def __process_health(self) ->None:
        """
        Process health status, 
        only keep Warning(denoted by 1) and Critical(denoted by 2)
        """
        status = self.metrics.get('Status', None)
        if status:
            health = status.get('Health', None)
            measurement = 'Health'
            if health == 'Warning':
                value = 1
                datapoint = self.__gen_datapoint(measurement, self.label, value
                    )
                self.datapoints.append(datapoint)
            elif health == 'Critical':
                value = 2
                datapoint = self.__gen_datapoint(measurement, self.label, value
                    )
                self.datapoints.append(datapoint)
        return

    def get_datapoints(self) ->list:
        """
        Return all datapoints
        """
        if self.metrics:
            self.__process_health()
        return self.datapoints

<mask token>


class ProcessHealth:
    """
    Generate Health data points
    """

    def __init__(self, node_metrics: dict, label: str) ->None:
        self.datapoints = []
        self.node_id = node_metrics['node']
        self.metrics = node_metrics['metrics']
        self.timestamp = node_metrics['timestamp']
        self.label = label

    def __gen_datapoint(self, measurement: str, label: str, value: float
        ) ->dict:
        """
        Generate data point for each metric
        """
        datapoint = {'measurement': measurement, 'tags': {'Label': label,
            'NodeId': self.node_id}, 'time': self.timestamp, 'fields': {
            'Value': value}}
        return datapoint

    def __process_health(self) ->None:
        """
        Process health status, 
        only keep Warning(denoted by 1) and Critical(denoted by 2)
        """
        status = self.metrics.get('Status', None)
        if status:
            health = status.get('Health', None)
            measurement = 'Health'
            if health == 'Warning':
                value = 1
                datapoint = self.__gen_datapoint(measurement, self.label, value
                    )
                self.datapoints.append(datapoint)
            elif health == 'Critical':
                value = 2
                datapoint = self.__gen_datapoint(measurement, self.label, value
                    )
                self.datapoints.append(datapoint)
        return

    def get_datapoints(self) ->list:
        """
        Return all datapoints
        """
        if self.metrics:
            self.__process_health()
        return self.datapoints

import time
from dateutil.parser import parse


class ProcessHealth:
    """
    Generate Health data points
    """

    def __init__(self, node_metrics: dict, label: str) ->None:
        self.datapoints = []
        self.node_id = node_metrics['node']
        self.metrics = node_metrics['metrics']
        self.timestamp = node_metrics['timestamp']
        self.label = label

    def __gen_datapoint(self, measurement: str, label: str, value: float
        ) ->dict:
        """
        Generate data point for each metric
        """
        datapoint = {'measurement': measurement, 'tags': {'Label': label,
            'NodeId': self.node_id}, 'time': self.timestamp, 'fields': {
            'Value': value}}
        return datapoint

    def __process_health(self) ->None:
        """
        Process health status, 
        only keep Warning(denoted by 1) and Critical(denoted by 2)
        """
        status = self.metrics.get('Status', None)
        if status:
            health = status.get('Health', None)
            measurement = 'Health'
            if health == 'Warning':
                value = 1
                datapoint = self.__gen_datapoint(measurement, self.label, value
                    )
                self.datapoints.append(datapoint)
            elif health == 'Critical':
                value = 2
                datapoint = self.__gen_datapoint(measurement, self.label, value
                    )
                self.datapoints.append(datapoint)
        return

    def get_datapoints(self) ->list:
        """
        Return all datapoints
        """
        if self.metrics:
            self.__process_health()
        return self.datapoints

import time
from dateutil.parser import parse


class ProcessHealth():
    """
    Generate Health data points
    """


    def __init__(self, node_metrics: dict, label: str) -> None:
        self.datapoints = []
        self.node_id = node_metrics["node"]
        self.metrics = node_metrics["metrics"]
        self.timestamp = node_metrics["timestamp"]
        self.label = label
    

    def __gen_datapoint(self, measurement: str, label: str, value: float) -> dict:
        """
        Generate data point for each metric
        """
        datapoint = {
            "measurement": measurement,
            "tags": {
                "Label": label,
                "NodeId": self.node_id
            },
            "time": self.timestamp,
            "fields": {
                "Value": value
            }
        }
        return datapoint

    
    def __process_health(self) -> None:
        """
        Process health status, 
        only keep Warning(denoted by 1) and Critical(denoted by 2)
        """
        status = self.metrics.get("Status", None)
        if status:
            health = status.get("Health", None)
            measurement = "Health"
            if health == "Warning":
                value = 1
                datapoint = self.__gen_datapoint(measurement, self.label, value)
                self.datapoints.append(datapoint)
            elif health == "Critical":
                value = 2
                datapoint = self.__gen_datapoint(measurement, self.label, value)
                self.datapoints.append(datapoint)
        return
            
    
    def get_datapoints(self) -> list:
        """
        Return all datapoints
        """
        if self.metrics:
            self.__process_health()
        return self.datapoints

