def get(self, request):
""" Retrieve records from time series data storage.
The URL is formatted as '/db/records?handle=**&start=**&end=**'.
Within the URL, required parameters include 'handle' and 'start'.
Optional parameter is 'end'. Values for 'start' and 'end' in the
URL should be epoch seconds. JSON results returned looks like:
[{"avg_bytes": 1617806.0,
"time": "2017-03-24T18:14:00+00:00"},
...
]
"""
request_data = request.GET.dict()
keys = ['handle', 'start']
for k in keys:
if k not in request_data:
msg = "Missing parameter '{}' in url".format(k)
raise InvalidRequest(msg)
handle = request_data['handle']
try:
obj = ExistingIntervals.objects.get(table_handle=handle)
except ObjectDoesNotExist:
msg = "Handle '{}' does not exist.".format(handle)
raise NotFoundError(msg)
tr = {}
tr['gte'] = sec_string_to_datetime(int(request_data['start']))
if 'end' in request_data:
tr['lte'] = sec_string_to_datetime(int(request_data['end']))
# Getting the time column name
table = Table.from_ref(
dict(sourcefile=obj.sourcefile,
namespace=obj.namespace,
name=obj.table))
timecols = [
c for c in table.get_columns(iskey=True)
if c.datatype == Column.DATATYPE_TIME
]
time_col_name = timecols[0].name
col_filters = [
ColumnFilter(query_type='range', query={time_col_name: tr})
]
# allow for override via url param
index = request_data.get('index', make_index(obj.namespace))
records = storage.search(index=index,
doc_type=handle,
col_filters=col_filters)
return Response(records)
def get(self, request):
""" Retrieve records from time series data storage.
The URL is formatted as '/db/records?handle=**&start=**&end=**'.
Within the URL, required parameters include 'handle' and 'start'.
Optional parameter is 'end'. Values for 'start' and 'end' in the
URL should be epoch seconds. JSON results returned looks like:
[{"avg_bytes": 1617806.0,
"time": "2017-03-24T18:14:00+00:00"},
...
]
"""
request_data = request.GET.dict()
keys = ['handle', 'start']
for k in keys:
if k not in request_data:
msg = "Missing parameter '{}' in url".format(k)
raise InvalidRequest(msg)
handle = request_data['handle']
try:
obj = ExistingIntervals.objects.get(table_handle=handle)
except ObjectDoesNotExist:
msg = "Handle '{}' does not exist.".format(handle)
raise NotFoundError(msg)
tr = {}
tr['gte'] = sec_string_to_datetime(int(request_data['start']))
if 'end' in request_data:
tr['lte'] = sec_string_to_datetime(int(request_data['end']))
# Getting the time column name
table = Table.from_ref(dict(sourcefile=obj.sourcefile,
namespace=obj.namespace,
name=obj.table))
timecols = [c for c in table.get_columns(iskey=True)
if c.datatype == Column.DATATYPE_TIME]
time_col_name = timecols[0].name
col_filters = [ColumnFilter(
query_type='range',
query={time_col_name: tr})]
# allow for override via url param
index = request_data.get('index', make_index(obj.namespace))
records = storage.search(index=index,
doc_type=handle,
col_filters=col_filters)
return Response(records)
def update_criteria_from_bookmark(self, report, request, fields):
""" Update fields' initial values using bookmark. """
request_data = request.GET.dict()
override_msg = 'Setting criteria field %s to %s.'
# Initialize report.live as False
report.live = False
for k, v in request_data.iteritems():
if k == 'auto_run':
report.auto_run = (v.lower() == 'true')
continue
if k == 'live':
if report.static and v.lower() == 'true':
report.live = True
continue
field = fields.get(k, None)
if field is None:
logger.warning("Keyword %s in bookmark does not match any "
"criteria field." % k)
continue
if self.is_field_cls(field, 'DateTimeField'):
# Only accepts epoch seconds
if not v.isdigit():
field.error_msg = ("%s '%s' is invalid." % (k, v))
continue
# Needs to set delta derived from ceiling of current time
# Otherwise the resulting timestamp would advance 1 sec
# vs the original timestamp from bookmark
delta = int(math.ceil(time.time())) - int(v)
if delta < 0:
field.error_msg = ("%s %s is later than current time."
% (k, v))
continue
dt_utc = sec_string_to_datetime(int(v))
tz = get_timezone(request)
dt_local = dt_utc.astimezone(tz)
logger.debug(override_msg % (k, dt_local))
# Setting initial date as 'mm/dd/yy'
field.field_kwargs['widget_attrs']['initial_date'] = \
dt_local.strftime('%m/%d/%Y')
# Setting initial time as 'hh:mm:ss'
field.field_kwargs['widget_attrs']['initial_time'] = \
dt_local.strftime('%H:%M:%S')
elif self.is_field_cls(field, 'BooleanField'):
logger.debug(override_msg % (k, v.lower() == 'true'))
field.initial = (v.lower() == 'true')
else:
logger.debug(override_msg % (k, v))
field.initial = v
def update_criteria_from_bookmark(self, report, request, fields):
""" Update fields' initial values using bookmark. """
request_data = request.GET.dict()
override_msg = 'Setting criteria field %s to %s.'
# Initialize report.live as False
report.live = False
for k, v in request_data.iteritems():
if k == 'auto_run':
report.auto_run = (v.lower() == 'true')
continue
if k == 'live':
if report.static and v.lower() == 'true':
report.live = True
continue
field = fields.get(k, None)
if field is None:
logger.warning("Keyword %s in bookmark does not match any "
"criteria field." % k)
continue
if self.is_field_cls(field, 'DateTimeField'):
# Only accepts epoch seconds
if not v.isdigit():
field.error_msg = ("%s '%s' is invalid." % (k, v))
continue
# Needs to set delta derived from ceiling of current time
# Otherwise the resulting timestamp would advance 1 sec
# vs the original timestamp from bookmark
delta = int(math.ceil(time.time())) - int(v)
if delta < 0:
field.error_msg = ("%s %s is later than current time."
% (k, v))
continue
dt_utc = sec_string_to_datetime(int(v))
tz = get_timezone(request)
dt_local = dt_utc.astimezone(tz)
logger.debug(override_msg % (k, dt_local))
# Setting initial date as 'mm/dd/yy'
field.field_kwargs['widget_attrs']['initial_date'] = \
dt_local.strftime('%m/%d/%Y')
# Setting initial time as 'hh:mm:ss'
field.field_kwargs['widget_attrs']['initial_time'] = \
dt_local.strftime('%m/%d/%Y %H:%M:%S')
elif self.is_field_cls(field, 'BooleanField'):
logger.debug(override_msg % (k, v.lower() == 'true'))
field.initial = (v.lower() == 'true')
else:
logger.debug(override_msg % (k, v))
field.initial = v
def _convert_sample_time(self, sample_timestamp):
if self.view.timestamp_format == APITimestampFormat.SECOND:
return timeutils.sec_string_to_datetime(sample_timestamp)
elif self.view.timestamp_format == APITimestampFormat.MILLISECOND:
return timeutils.msec_string_to_datetime(sample_timestamp)
elif self.view.timestamp_format == APITimestampFormat.MICROSECOND:
return timeutils.usec_string_to_datetime(sample_timestamp)
elif self.view.timestamp_format == APITimestampFormat.NANOSECOND:
return timeutils.nsec_string_to_datetime(sample_timestamp)
else:
raise ValueError('invalid time format %s' % str(view.timestamp_format))
def _convert_sample_time(self, sample_timestamp):
if self.view.timestamp_format == APITimestampFormat.SECOND:
return timeutils.sec_string_to_datetime(sample_timestamp)
elif self.view.timestamp_format == APITimestampFormat.MILLISECOND:
return timeutils.msec_string_to_datetime(sample_timestamp)
elif self.view.timestamp_format == APITimestampFormat.MICROSECOND:
return timeutils.usec_string_to_datetime(sample_timestamp)
elif self.view.timestamp_format == APITimestampFormat.NANOSECOND:
return timeutils.nsec_string_to_datetime(sample_timestamp)
else:
raise ValueError('invalid time format %s' %
str(view.timestamp_format))
def process(cls, widget, job, data):
class ColInfo:
def __init__(self,
col,
dataindex,
axis,
istime=False,
isdate=False):
self.col = col
self.key = cleankey(col.name)
self.dataindex = dataindex
self.axis = axis
self.istime = istime
self.isdate = isdate
t_cols = job.get_columns()
colinfo = {} # map by widget key
# columns of None is a special case, just use all
# defined columns other than time
if widget.options.columns is None:
valuecolnames = [
col.name for col in t_cols
if not col.istime() and not col.isdate()
]
else:
valuecolnames = widget.options.columns
# Column keys are the 'cleaned' column names
w_keys = [cleankey(n) for n in valuecolnames]
# Retrieve the desired value columns
# ...and the indices for the value values
# (as the 'data' has *all* columns)
time_colinfo = None
for i, c in enumerate(t_cols):
if c.istime():
ci = ColInfo(c, i, -1, istime=True)
time_colinfo = ci
elif c.isdate():
ci = ColInfo(c, i, -1, isdate=True)
time_colinfo = ci
elif c.name in valuecolnames:
if c.isnumeric():
ci = ColInfo(c, i, -1, istime=False, isdate=False)
else:
raise KeyError(
"Cannot graph non-numeric data in timeseries widget: "
"column {0}".format(c.name))
colinfo[ci.key] = ci
if widget.options.altaxis:
altaxis = widget.options.altaxis
axes_def = {
'0': {
'position': 'left',
'columns':
[col for col in valuecolnames if col not in altaxis]
},
'1': {
'position': 'right',
'columns':
[col for col in valuecolnames if col in altaxis]
}
}
else:
axes_def = {'0': {'position': 'left', 'columns': valuecolnames}}
w_series = []
axes = Axes(axes_def)
# Setup the time axis
w_axes = {
"time": {
"keys": ["time"],
"position": "bottom",
"type": "time",
"styles": {
"label": {
"fontSize": "8pt",
"rotation": "-45"
}
}
}
}
# Create a better time format depending on t0/t1
t_dataindex = time_colinfo.dataindex
t0 = data[0][t_dataindex]
t1 = data[-1][t_dataindex]
if not hasattr(t0, 'utcfromtimestamp'):
t0 = timeutils.sec_string_to_datetime(t0)
t1 = timeutils.sec_string_to_datetime(t1)
total_seconds = timeutils.timedelta_total_seconds(t1 - t0)
if total_seconds < 2:
w_axes['time']['formatter'] = 'formatTimeMs'
elif total_seconds < 120:
w_axes['time']['labelFormat'] = '%k:%M:%S'
elif total_seconds < (24 * 60 * 60):
w_axes['time']['labelFormat'] = '%k:%M'
elif time_colinfo.isdate:
w_axes['time']['formatter'] = 'formatDate'
else:
w_axes['time']['labelFormat'] = '%D %k:%M'
# Setup the other axes, checking the axis for each column
for w_key in w_keys:
# Need to interate the valuecolnames array to preserve order
ci = colinfo[w_key]
w_series.append({
"xKey": "time",
"xDisplayName": "Time",
"yKey": ci.key,
"yDisplayName": ci.col.label,
"styles": {
"line": {
"weight": 1
},
"marker": {
"height": 3,
"width": 3
}
}
})
ci.axis = axes.getaxis(ci.col.name)
axis_name = 'axis' + str(ci.axis)
if axis_name not in w_axes:
w_axes[axis_name] = {
"type": "numeric",
"position": axes.position(ci.axis),
"keys": []
}
w_axes[axis_name]['keys'].append(ci.key)
# Output row data
rows = []
# min/max values by axis 0/1
minval = {}
maxval = {}
stacked = widget.options.stacked
# Iterate through all rows if input data
for rawrow in data:
t = rawrow[t_dataindex]
try:
t = timeutils.datetime_to_microseconds(t) / 1000
except AttributeError:
t = t * 1000
row = {'time': t}
rowmin = {}
rowmax = {}
for ci in colinfo.values():
if ci.istime or ci.isdate:
continue
a = ci.axis
val = rawrow[ci.dataindex]
row[ci.key] = val if val != '' else None
# If stacked and there is only one value, use that
# value as the rowmin. If stacked and there is more than
# one value for the axis, use a floor of 0 to give proper
# context.
if a not in rowmin:
rowmin[a] = val if val != '' else 0
rowmax[a] = val if val != '' else 0
else:
rowmin[a] = (0 if stacked else min(rowmin[a], val))
rowmax[a] = ((rowmax[a] +
val) if stacked else max(rowmax[a], val))
for a in rowmin.keys():
minval[a] = rowmin[a] if (a not in minval) else min(
minval[a], rowmin[a])
maxval[a] = rowmax[a] if (a not in maxval) else max(
maxval[a], rowmax[a])
rows.append(row)
# Setup the scale values for the axes
for ci in colinfo.values():
if ci.istime or ci.isdate:
continue
axis_name = 'axis' + str(ci.axis)
if minval and maxval:
n = NiceScale(minval[ci.axis], maxval[ci.axis])
w_axes[axis_name]['minimum'] = "%.10f" % n.nicemin
w_axes[axis_name]['maximum'] = "%.10f" % n.nicemax
w_axes[axis_name]['tickExponent'] = math.log10(n.tickspacing)
w_axes[axis_name]['styles'] = {
'majorUnit': {
'count': n.numticks
}
}
else:
# empty data which would result in keyError above
w_axes[axis_name]['minimum'] = "0"
w_axes[axis_name]['maximum'] = "1"
w_axes[axis_name]['tickExponent'] = 1
w_axes[axis_name]['styles'] = {'majorUnit': {'count': 1}}
if ci.col.units == ci.col.UNITS_PCT:
w_axes[axis_name]['formatter'] = 'formatPct'
else:
w_axes[axis_name]['formatter'] = 'formatMetric'
if stacked:
charttype = "area"
elif widget.options.bar:
charttype = "column"
else:
charttype = "combo"
data = {
"chartTitle": widget.title.format(**job.actual_criteria),
"type": charttype,
"stacked": stacked,
"dataProvider": rows,
"seriesCollection": w_series,
"axes": w_axes,
"legend": {
"position": "bottom",
"fontSize": "8pt",
"styles": {
"gap": 0
}
},
"interactionType": "planar"
}
# logger.debug("data:\n\n%s\n" % data)
return data
def process(cls, widget, job, data):
class ColInfo:
def __init__(self, col, dataindex, axis,
istime=False, isdate=False):
self.col = col
self.key = cleankey(col.name)
self.dataindex = dataindex
self.axis = axis
self.istime = istime
self.isdate = isdate
t_cols = job.get_columns()
colinfo = {} # map by widget key
# columns of None is a special case, just use all
# defined columns other than time
if widget.options.columns is None:
valuecolnames = [col.name for col in t_cols
if not col.istime() and not col.isdate()]
else:
valuecolnames = widget.options.columns
# Column keys are the 'cleaned' column names
w_keys = [cleankey(n) for n in valuecolnames]
# Retrieve the desired value columns
# ...and the indices for the value values
# (as the 'data' has *all* columns)
time_colinfo = None
for i, c in enumerate(t_cols):
if c.istime():
ci = ColInfo(c, i, -1, istime=True)
time_colinfo = ci
elif c.isdate():
ci = ColInfo(c, i, -1, isdate=True)
time_colinfo = ci
elif c.name in valuecolnames:
if c.isnumeric():
ci = ColInfo(c, i, -1, istime=False, isdate=False)
else:
raise KeyError(
"Cannot graph non-numeric data in timeseries widget: "
"column {0}".format(c.name))
colinfo[ci.key] = ci
if widget.options.altaxis:
altaxis = widget.options.altaxis
axes_def = {'0': {'position': 'left',
'columns': [col for col in valuecolnames
if col not in altaxis]},
'1': {'position': 'right',
'columns': [col for col in valuecolnames
if col in altaxis]}
}
else:
axes_def = {'0': {'position': 'left',
'columns': valuecolnames}}
w_series = []
axes = Axes(axes_def)
# Setup the time axis
w_axes = {"time": {"keys": ["time"],
"position": "bottom",
"type": "time",
"styles": {"label": {"fontSize": "8pt",
"rotation": "-45"}}}}
# Create a better time format depending on t0/t1
t_dataindex = time_colinfo.dataindex
t0 = data[0][t_dataindex]
t1 = data[-1][t_dataindex]
if not hasattr(t0, 'utcfromtimestamp'):
t0 = timeutils.sec_string_to_datetime(t0)
t1 = timeutils.sec_string_to_datetime(t1)
total_seconds = timeutils.timedelta_total_seconds(t1 - t0)
if total_seconds < 2:
w_axes['time']['formatter'] = 'formatTimeMs'
elif total_seconds < 120:
w_axes['time']['labelFormat'] = '%k:%M:%S'
elif total_seconds < (24 * 60 * 60):
w_axes['time']['labelFormat'] = '%k:%M'
elif time_colinfo.isdate:
w_axes['time']['formatter'] = 'formatDate'
else:
w_axes['time']['labelFormat'] = '%D %k:%M'
# Setup the other axes, checking the axis for each column
for w_key in w_keys:
# Need to interate the valuecolnames array to preserve order
ci = colinfo[w_key]
w_series.append({"xKey": "time",
"xDisplayName": "Time",
"yKey": ci.key,
"yDisplayName": ci.col.label,
"styles": {"line": {"weight": 1},
"marker": {"height": 3,
"width": 3}}})
ci.axis = axes.getaxis(ci.col.name)
axis_name = 'axis' + str(ci.axis)
if axis_name not in w_axes:
w_axes[axis_name] = {"type": "numeric",
"position": axes.position(ci.axis),
"keys": []
}
w_axes[axis_name]['keys'].append(ci.key)
# Output row data
rows = []
# min/max values by axis 0/1
minval = {}
maxval = {}
stacked = widget.options.stacked
# Iterate through all rows if input data
for rawrow in data:
t = rawrow[t_dataindex]
try:
t = timeutils.datetime_to_microseconds(t) / 1000
except AttributeError:
t = t * 1000
row = {'time': t}
rowmin = {}
rowmax = {}
for ci in colinfo.values():
if ci.istime or ci.isdate:
continue
a = ci.axis
val = rawrow[ci.dataindex]
row[ci.key] = val if val != '' else None
# If stacked and there is only one value, use that
# value as the rowmin. If stacked and there is more than
# one value for the axis, use a floor of 0 to give proper
# context.
if a not in rowmin:
rowmin[a] = val if val != '' else 0
rowmax[a] = val if val != '' else 0
else:
rowmin[a] = (0 if stacked
else min(rowmin[a], val))
rowmax[a] = ((rowmax[a] + val) if stacked
else max(rowmax[a], val))
for a in rowmin.keys():
minval[a] = rowmin[a] if (a not in minval) else min(minval[a],
rowmin[a])
maxval[a] = rowmax[a] if (a not in maxval) else max(maxval[a],
rowmax[a])
rows.append(row)
# Setup the scale values for the axes
for ci in colinfo.values():
if ci.istime or ci.isdate:
continue
axis_name = 'axis' + str(ci.axis)
if minval and maxval:
n = NiceScale(minval[ci.axis], maxval[ci.axis])
w_axes[axis_name]['minimum'] = "%.10f" % n.nicemin
w_axes[axis_name]['maximum'] = "%.10f" % n.nicemax
w_axes[axis_name]['tickExponent'] = math.log10(n.tickspacing)
w_axes[axis_name]['styles'] = {
'majorUnit': {'count': n.numticks}
}
else:
# empty data which would result in keyError above
w_axes[axis_name]['minimum'] = "0"
w_axes[axis_name]['maximum'] = "1"
w_axes[axis_name]['tickExponent'] = 1
w_axes[axis_name]['styles'] = {'majorUnit': {'count': 1}}
if ci.col.units == ci.col.UNITS_PCT:
w_axes[axis_name]['formatter'] = 'formatPct'
else:
w_axes[axis_name]['formatter'] = 'formatMetric'
if stacked:
charttype = "area"
elif widget.options.bar:
charttype = "column"
else:
charttype = "combo"
data = {
"chartTitle": widget.title.format(**job.actual_criteria),
"type": charttype,
"stacked": stacked,
"dataProvider": rows,
"seriesCollection": w_series,
"axes": w_axes,
"legend": {"position": "bottom",
"fontSize": "8pt",
"styles": {"gap": 0}},
"interactionType": "planar"
}
# logger.debug("data:\n\n%s\n" % data)
return data
