# Path: graphite_beacon/graphite.py
# class GraphiteRecord(object):
# 
#     def __init__(self, metric_string, default_nan_value=None, ignore_nan=False):
#         try:
#             meta, data = metric_string.split('|')
#         except ValueError:
#             peek = ((metric_string[:40] + '..')
#                     if len(metric_string) > 40 else metric_string)
#             raise ValueError("Unable to parse graphite record: {}".format(peek))
# 
#         self.target, start_time, end_time, step = meta.rsplit(',', 3)
#         self.start_time = int(start_time)
#         self.end_time = int(end_time)
#         self.step = int(step)
#         self.default_nan_value = default_nan_value
#         self.ignore_nan = ignore_nan
#         self.values = list(self._values(data.rsplit(',')))
#         self.empty = len(self.values) == 0
# 
#     def _values(self, values):
#         for value in values:
#             try:
#                 if self.ignore_nan and float(value) == self.default_nan_value:
#                     continue
#                 yield float(value)
#             except ValueError:
#                 continue
# 
#     @property
#     def average(self):
#         return self.sum / len(self.values)
# 
#     @property
#     def last_value(self):
#         return self.values[-1]
# 
#     @property
#     def sum(self):
#         return sum(self.values)
# 
#     @property
#     def minimum(self):
#         return min(self.values)
# 
#     @property
#     def maximum(self):
#         return max(self.values)
# 
# Path: tests/util.py
# def build_graphite_response(target_name='*', start_timestamp=1480000000,
#                             end_timestamp=1480000050, series_step=60,
#                             data=None):
#     """Build a graphite response.
# 
#     Format: <target name>,<start timestamp>,<end timestamp>,<series step>|[data]*
# 
#     :param target_name str: the target query being fulfilled
#     :param start_timestamp int: unix timestamp for query start
#     :param end_timestamp int: unix timestamp for query end
#     :param series_step int: the length of time between each step
#     :param data list: query results
#     :rtype: StringIO
#     """
#     data = data or []
#     return (
#         "{},{},{},{}|{}"
#         .format(target_name, start_timestamp, end_timestamp, series_step,
#                 ','.join(str(d) for d in data))
#     )


import pytest
from graphite_beacon.graphite import GraphiteRecord
from ..util import build_graphite_response




build_record = lambda data: GraphiteRecord(build_graphite_response(data=data))


class TestGraphiteRecord(object):
    def test_invalid_record(self):
        with pytest.raises(ValueError):
            GraphiteRecord('not,legit,data')

    def test_invalid_record_long(self):
        with pytest.raises(ValueError) as e:

# Path: graphite_beacon/graphite.py
# class GraphiteRecord(object):
# 
#     def __init__(self, metric_string, default_nan_value=None, ignore_nan=False):
#         try:
#             meta, data = metric_string.split('|')
#         except ValueError:
#             peek = ((metric_string[:40] + '..')
#                     if len(metric_string) > 40 else metric_string)
#             raise ValueError("Unable to parse graphite record: {}".format(peek))
# 
#         self.target, start_time, end_time, step = meta.rsplit(',', 3)
#         self.start_time = int(start_time)
#         self.end_time = int(end_time)
#         self.step = int(step)
#         self.default_nan_value = default_nan_value
#         self.ignore_nan = ignore_nan
#         self.values = list(self._values(data.rsplit(',')))
#         self.empty = len(self.values) == 0
# 
#     def _values(self, values):
#         for value in values:
#             try:
#                 if self.ignore_nan and float(value) == self.default_nan_value:
#                     continue
#                 yield float(value)
#             except ValueError:
#                 continue
# 
#     @property
#     def average(self):
#         return self.sum / len(self.values)
# 
#     @property
#     def last_value(self):
#         return self.values[-1]
# 
#     @property
#     def sum(self):
#         return sum(self.values)
# 
#     @property
#     def minimum(self):
#         return min(self.values)
# 
#     @property
#     def maximum(self):
#         return max(self.values)
# 
# Path: tests/util.py
# def build_graphite_response(target_name='*', start_timestamp=1480000000,
#                             end_timestamp=1480000050, series_step=60,
#                             data=None):
#     """Build a graphite response.
# 
#     Format: <target name>,<start timestamp>,<end timestamp>,<series step>|[data]*
# 
#     :param target_name str: the target query being fulfilled
#     :param start_timestamp int: unix timestamp for query start
#     :param end_timestamp int: unix timestamp for query end
#     :param series_step int: the length of time between each step
#     :param data list: query results
#     :rtype: StringIO
#     """
#     data = data or []
#     return (
#         "{},{},{},{}|{}"
#         .format(target_name, start_timestamp, end_timestamp, series_step,
#                 ','.join(str(d) for d in data))
#     )


# Path: tests/unit/graphite_test.py
import pytest
from graphite_beacon.graphite import GraphiteRecord
from ..util import build_graphite_response





build_record = lambda data: GraphiteRecord(build_graphite_response(data=data))


class TestGraphiteRecord(object):
    def test_invalid_record(self):
        with pytest.raises(ValueError):
            GraphiteRecord('not,legit,data')

    def test_invalid_record_long(self):
        with pytest.raises(ValueError) as e:

            GraphiteRecord('<http>' + ('<tag>' * 50))