def process(cls, widget, job, data):
class ColInfo:
def __init__(self, col, dataindex, axis):
self.col = col
self.dataindex = dataindex
self.axis = axis
all_cols = job.get_columns()
# The category "key" column -- this is the column shown along the
# bottom of the bar widget
keycols = [c for c in all_cols if c.name in widget.options.keycols]
# columns of '*' is a special case, just use all
# defined columns other than time
if widget.options.columns == '*' or widget.options.dynamic:
cols = [c for c in all_cols if not c.iskey]
else:
# The value columns - one set of bars for each
cols = [c for c in all_cols if c.name in widget.options.columns]
axes = Axes(widget.options.axes)
# Array of data series definitions yui3 style
series = []
# Array of axis definitions yui3 style
catname = '-'.join([k.name for k in keycols])
w_axes = {
catname: {
"keys": [catname],
"position": "bottom",
"styles": {
"label": {
"rotation": -60
}
}
}
}
# Map of column info by column name
colmap = {}
# Add keycols to the colmap
for i, c in enumerate(all_cols):
if c not in keycols:
continue
ci = ColInfo(c, i, axes.getaxis(c.name))
colmap[c.name] = ci
for i, c in enumerate(all_cols):
# Rest of this is for data cols only
if c not in cols:
continue
ci = ColInfo(c, i, axes.getaxis(c.name))
colmap[c.name] = ci
series.append({
"xKey": '-'.join([k.name for k in keycols]),
"xDisplayName": ','.join([k.label for k in keycols]),
"yKey": c.name,
"yDisplayName": c.label,
"styles": {
"line": {
"weight": 1
},
"marker": {
"height": 6,
"width": 20
}
}
})
# The rest compute axis min/max for datavalues, so skip keys
if c.iskey:
continue
axis_name = 'axis' + str(ci.axis)
if axis_name not in w_axes:
w_axes[axis_name] = {
"type": "numeric",
"position": ("left" if (ci.axis == 0) else "right"),
"keys": []
}
w_axes[axis_name]['keys'].append(c.name)
# Array of actual data yui3 style. Each row is a dict of key->value
rows = []
# min/max values by axis 0/1
minval = {}
maxval = {}
stacked = False # XXXCJ
for rawrow in data:
row = {}
rowmin = {}
rowmax = {}
# collect key values
keyvals = []
for c in colmap.values():
if not c.col.iskey:
continue
keyvals.append(rawrow[c.dataindex])
row[catname] = ','.join(str(k) for k in keyvals)
# collect the data values
for c in colmap.values():
if c.col.iskey:
continue
# Set the value
val = rawrow[c.dataindex]
row[c.col.name] = val
a = c.axis
if c.axis not in rowmin:
rowmin[a] = val
rowmax[a] = val
else:
rowmin[a] = ((rowmin[a] +
val) 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)
# Build up axes
for c in colmap.values():
if c.col.iskey:
continue
axis_name = 'axis' + str(c.axis)
if minval and maxval:
n = NiceScale(minval[c.axis], maxval[c.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}}
data = {
"chartTitle": widget.title.format(**job.actual_criteria),
"type": widget.options.charttype,
"categoryKey": catname,
"dataProvider": rows,
"seriesCollection": series,
"axes": w_axes,
"legend": {
"position": "bottom",
"fontSize": "8pt",
"styles": {
"gap": 0
}
}
}
return data
def process(cls, widget, job, data):
class ColInfo:
def __init__(self, col, dataindex, axis):
self.col = col
self.dataindex = dataindex
self.axis = axis
all_cols = job.get_columns()
# The category "key" column -- this is the column shown along the
# bottom of the bar widget
keycols = [c for c in all_cols if c.name in widget.options.keycols]
# columns of '*' is a special case, just use all
# defined columns other than time
if widget.options.columns == '*' or widget.options.dynamic:
cols = [c for c in all_cols if not c.iskey]
else:
# The value columns - one set of bars for each
cols = [c for c in all_cols if c.name in widget.options.columns]
axes = Axes(widget.options.axes)
# Array of data series definitions yui3 style
series = []
# Array of axis definitions yui3 style
catname = '-'.join([k.name for k in keycols])
w_axes = {catname: {"keys": [catname],
"position": "bottom",
"styles": {"label": {"rotation": -60}}}}
# Map of column info by column name
colmap = {}
# Add keycols to the colmap
for i, c in enumerate(all_cols):
if c not in keycols:
continue
ci = ColInfo(c, i, axes.getaxis(c.name))
colmap[c.name] = ci
for i, c in enumerate(all_cols):
# Rest of this is for data cols only
if c not in cols:
continue
ci = ColInfo(c, i, axes.getaxis(c.name))
colmap[c.name] = ci
series.append({"xKey": '-'.join([k.name for k in keycols]),
"xDisplayName": ','.join([k.label
for k in keycols]),
"yKey": c.name,
"yDisplayName": c.label,
"styles": {"line": {"weight": 1},
"marker": {"height": 6,
"width": 20}}})
# The rest compute axis min/max for datavalues, so skip keys
if c.iskey:
continue
axis_name = 'axis' + str(ci.axis)
if axis_name not in w_axes:
w_axes[axis_name] = {"type": "numeric",
"position": ("left" if (ci.axis == 0)
else "right"),
"keys": []}
w_axes[axis_name]['keys'].append(c.name)
# Array of actual data yui3 style. Each row is a dict of key->value
rows = []
# min/max values by axis 0/1
minval = {}
maxval = {}
stacked = False # XXXCJ
for rawrow in data:
row = {}
rowmin = {}
rowmax = {}
# collect key values
keyvals = []
for c in colmap.values():
if not c.col.iskey:
continue
keyvals.append(rawrow[c.dataindex])
row[catname] = ','.join(str(k) for k in keyvals)
# collect the data values
for c in colmap.values():
if c.col.iskey:
continue
# Set the value
val = rawrow[c.dataindex]
row[c.col.name] = val
a = c.axis
if c.axis not in rowmin:
rowmin[a] = val
rowmax[a] = val
else:
rowmin[a] = ((rowmin[a] + val) 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)
# Build up axes
for c in colmap.values():
if c.col.iskey:
continue
axis_name = 'axis' + str(c.axis)
if minval and maxval:
n = NiceScale(minval[c.axis], maxval[c.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}}
data = {
"chartTitle": widget.title.format(**job.actual_criteria),
"type": widget.options.charttype,
"categoryKey": catname,
"dataProvider": rows,
"seriesCollection": series,
"axes": w_axes,
"legend": {"position": "bottom",
"fontSize": "8pt",
"styles": {"gap": 0}}
}
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
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
