# Path: moira/checker/state.py
# OK = "OK"
# WARN = "WARN"
# ERROR = "ERROR"
# NODATA = "NODATA"
# EXCEPTION = "EXCEPTION"
# DEL = "DEL"
# SCORES = {
#     "OK": 0,
#     "DEL": 0,
#     "WARN": 1,
#     "ERROR": 100,
#     "NODATA": 1000,
#     "EXCEPTION": 100000
# }
# def to_metric_state(state):
# 
# Path: moira/checker/check.py
# def trigger(trigger, fromTime, now, cache_ttl):
# 
# Path: moira/checker/timeseries.py
# class TargetTimeSeries(dict):
# 
#     def __init__(self, *arg, **kwargs):
#         super(TargetTimeSeries, self).__init__(*arg, **kwargs)
#         self.other_targets_names = {}
# 
#     def get_expression_values(self, t1, timestamp):
#         expression_values = {}
#         for target_number in xrange(1, len(self) + 1):
#             target_name = "t%s" % target_number
#             tN = self[target_number][0] if target_number > 1 else t1
#             value_index = (timestamp - tN.start) / tN.step
#             tN_value = tN[value_index] if len(tN) > value_index else None
#             expression_values[target_name] = tN_value
#             if tN_value is None:
#                 break
#         return expression_values
# 
#     def set_state_value(self, metric_state, expression_values, tN):
#         if expression_values is None:
#             if "value" in metric_state:
#                 del metric_state["value"]
#         else:
#             metric_state["value"] = expression_values[tN]
# 
#     def update_state(self, t1, check, expression_state, expression_values, timestamp):
#         metric_state = check["metrics"][t1.name]
#         metric_state["state"] = expression_state
#         metric_state["timestamp"] = timestamp
#         self.set_state_value(metric_state, expression_values, "t1")
# 
#         for tN, tName in self.other_targets_names.iteritems():
#             other_metric_state = check["metrics"][tName]
#             other_metric_state["state"] = expression_state
#             other_metric_state["timestamp"] = timestamp
#             self.set_state_value(other_metric_state, expression_values, tN)


from datetime import datetime, timedelta
from moira.graphite.evaluator import evaluateTarget
from twisted.internet import defer
from moira.checker import state
from moira.checker import check
from moira.checker.timeseries import TargetTimeSeries

    @defer.inlineCallbacks
    def get_timeseries(self, requestContext):
        targets = self.struct.get("targets", [])
        target_time_series = TargetTimeSeries()
        target_number = 1

        for target in targets:
            time_series = yield evaluateTarget(requestContext, target)

            if target_number > 1:
                if len(time_series) == 1:
                    target_time_series.other_targets_names["t%s" % target_number] = time_series[0].name
                elif not time_series:
                    raise Exception("Target #%s has no timeseries" % target_number)
                else:
                    raise Exception("Target #%s has more than one timeseries" % target_number)

            for time_serie in time_series:
                time_serie.last_state = self.last_check["metrics"].get(
                                        time_serie.name, {
                                            "state": state.NODATA,
                                            "timestamp": time_serie.start - 3600})
            target_time_series[target_number] = time_series
            target_number += 1

        defer.returnValue(target_time_series)

    @defer.inlineCallbacks
    def check(self, fromTime=None, now=None, cache_ttl=60):

# Path: moira/checker/state.py
# OK = "OK"
# WARN = "WARN"
# ERROR = "ERROR"
# NODATA = "NODATA"
# EXCEPTION = "EXCEPTION"
# DEL = "DEL"
# SCORES = {
#     "OK": 0,
#     "DEL": 0,
#     "WARN": 1,
#     "ERROR": 100,
#     "NODATA": 1000,
#     "EXCEPTION": 100000
# }
# def to_metric_state(state):
# 
# Path: moira/checker/check.py
# def trigger(trigger, fromTime, now, cache_ttl):
# 
# Path: moira/checker/timeseries.py
# class TargetTimeSeries(dict):
# 
#     def __init__(self, *arg, **kwargs):
#         super(TargetTimeSeries, self).__init__(*arg, **kwargs)
#         self.other_targets_names = {}
# 
#     def get_expression_values(self, t1, timestamp):
#         expression_values = {}
#         for target_number in xrange(1, len(self) + 1):
#             target_name = "t%s" % target_number
#             tN = self[target_number][0] if target_number > 1 else t1
#             value_index = (timestamp - tN.start) / tN.step
#             tN_value = tN[value_index] if len(tN) > value_index else None
#             expression_values[target_name] = tN_value
#             if tN_value is None:
#                 break
#         return expression_values
# 
#     def set_state_value(self, metric_state, expression_values, tN):
#         if expression_values is None:
#             if "value" in metric_state:
#                 del metric_state["value"]
#         else:
#             metric_state["value"] = expression_values[tN]
# 
#     def update_state(self, t1, check, expression_state, expression_values, timestamp):
#         metric_state = check["metrics"][t1.name]
#         metric_state["state"] = expression_state
#         metric_state["timestamp"] = timestamp
#         self.set_state_value(metric_state, expression_values, "t1")
# 
#         for tN, tName in self.other_targets_names.iteritems():
#             other_metric_state = check["metrics"][tName]
#             other_metric_state["state"] = expression_state
#             other_metric_state["timestamp"] = timestamp
#             self.set_state_value(other_metric_state, expression_values, tN)


# Path: moira/checker/trigger.py
from datetime import datetime, timedelta
from moira.graphite.evaluator import evaluateTarget
from twisted.internet import defer
from moira.checker import state
from moira.checker import check
from moira.checker.timeseries import TargetTimeSeries


    @defer.inlineCallbacks
    def get_timeseries(self, requestContext):
        targets = self.struct.get("targets", [])
        target_time_series = TargetTimeSeries()
        target_number = 1

        for target in targets:
            time_series = yield evaluateTarget(requestContext, target)

            if target_number > 1:
                if len(time_series) == 1:
                    target_time_series.other_targets_names["t%s" % target_number] = time_series[0].name
                elif not time_series:
                    raise Exception("Target #%s has no timeseries" % target_number)
                else:
                    raise Exception("Target #%s has more than one timeseries" % target_number)

            for time_serie in time_series:
                time_serie.last_state = self.last_check["metrics"].get(
                                        time_serie.name, {
                                            "state": state.NODATA,
                                            "timestamp": time_serie.start - 3600})
            target_time_series[target_number] = time_series
            target_number += 1

        defer.returnValue(target_time_series)

    @defer.inlineCallbacks
    def check(self, fromTime=None, now=None, cache_ttl=60):

        yield check.trigger(self, fromTime, now, cache_ttl)