def compute_graph_curves(metrics, rrd_data):
curves = []
for metric_definition in metrics:
expression = metric_definition["expression"]
time_series = evaluate_time_series_expression(expression, rrd_data)
if not time_series:
continue
multi = len(time_series) > 1
mirror_prefix = "-" if metric_definition["line_type"].startswith("-") else ""
for i, ts in enumerate(time_series):
title = metric_definition["title"]
if ts.metadata.get('title') and multi:
title += " - " + ts.metadata['title']
color = metric_definition.get("color", ts.metadata.get('color', "#000000"))
if i % 2 == 1 and not (expression[0] == "transformation" and
expression[1][0] == "forecast"):
color = render_color(fade_color(parse_color(color), 0.3))
curves.append({
"line_type": mirror_prefix + ts.metadata.get('line_type', "")
if multi else metric_definition["line_type"],
"color": color,
'title': title,
'rrddata': ts
})
return curves
def compute_graph_curves(metrics: Sequence[GraphMetric],
rrd_data: RRDData) -> list[Curve]:
curves = []
for metric_definition in metrics:
expression = metric_definition["expression"]
time_series = evaluate_time_series_expression(expression, rrd_data)
if not time_series:
continue
multi = len(time_series) > 1
mirror_prefix = "-" if metric_definition["line_type"].startswith(
"-") else ""
for i, ts in enumerate(time_series):
title = metric_definition["title"]
if ts.metadata.get("title") and multi:
title += " - " + ts.metadata["title"]
color = metric_definition.get("color",
ts.metadata.get("color", "#000000"))
if i % 2 == 1 and not (expression[0] == "transformation"
and expression[1][0] == "forecast"):
color = render_color(fade_color(parse_color(color), 0.3))
curves.append(
Curve({
"line_type":
mirror_prefix + ts.metadata.get("line_type", "")
if multi else metric_definition["line_type"],
"color":
color,
"title":
title,
"rrddata":
ts,
}))
return curves
def render_graph_pnp(graph_template, translated_metrics):
graph_title = None
vertical_label = None
rrdgraph_commands = ""
legend_precision = graph_template.get("legend_precision", 2)
legend_scale = graph_template.get("legend_scale", 1)
legend_scale_symbol = scale_symbols[legend_scale]
# Define one RRD variable for each of the available metrics.
# Note: We need to use the original name, not the translated one.
for var_name, metrics in translated_metrics.items():
rrd = "$RRDBASE$_" + metrics["orig_name"] + ".rrd"
scale = metrics["scale"]
unit = metrics["unit"]
if scale != 1.0:
rrdgraph_commands += "DEF:%s_UNSCALED=%s:1:MAX " % (var_name, rrd)
rrdgraph_commands += "CDEF:%s=%s_UNSCALED,%f,* " % (
var_name, var_name, scale)
else:
rrdgraph_commands += "DEF:%s=%s:1:MAX " % (var_name, rrd)
# Scaling for legend
rrdgraph_commands += "CDEF:%s_LEGSCALED=%s,%f,/ " % (
var_name, var_name, legend_scale)
# Prepare negative variants for upside-down graph
rrdgraph_commands += "CDEF:%s_NEG=%s,-1,* " % (var_name, var_name)
rrdgraph_commands += "CDEF:%s_LEGSCALED_NEG=%s_LEGSCALED,-1,* " % (
var_name, var_name)
# Now add areas and lines to the graph
graph_metrics = []
# Graph with upside down metrics? (e.g. for Disk IO)
have_upside_down = False
# Compute width of the right column of the legend
max_title_length = 0
for nr, metric_definition in enumerate(graph_template["metrics"]):
if len(metric_definition) >= 3:
title = metric_definition[2]
elif not "," in metric_definition:
metric_name = metric_definition[0].split("#")[0]
mi = translated_metrics[metric_name]
title = mi["title"]
else:
title = ""
max_title_length = max(max_title_length, len(title))
for nr, metric_definition in enumerate(graph_template["metrics"]):
metric_name = metric_definition[0]
line_type = metric_definition[1] # "line", "area", "stack"
# Optional title, especially for derived values
if len(metric_definition) >= 3:
title = metric_definition[2]
else:
title = ""
# Prefixed minus renders the metrics in negative direction
if line_type[0] == '-':
have_upside_down = True
upside_down = True
upside_down_factor = -1
line_type = line_type[1:]
upside_down_suffix = "_NEG"
else:
upside_down = False
upside_down_factor = 1
upside_down_suffix = ""
if line_type == "line":
draw_type = "LINE"
draw_stack = ""
elif line_type == "area":
draw_type = "AREA"
draw_stack = ""
elif line_type == "stack":
draw_type = "AREA"
draw_stack = ":STACK"
# User can specify alternative color using a suffixed #aabbcc
if '#' in metric_name:
metric_name, custom_color = metric_name.split("#", 1)
else:
custom_color = None
commands = ""
# Derived value with RBN syntax (evaluated by RRDTool!).
if "," in metric_name:
# We evaluate just in order to get color and unit.
# TODO: beware of division by zero. All metrics are set to 1 here.
_value, unit, color = evaluate(metric_name, translated_metrics)
if "@" in metric_name:
expression, _explicit_unit_name = metric_name.rsplit(
"@", 1) # isolate expression
else:
expression = metric_name
# Choose a unique name for the derived variable and compute it
commands += "CDEF:DERIVED%d=%s " % (nr, expression)
if upside_down:
commands += "CDEF:DERIVED%d_NEG=DERIVED%d,-1,* " % (nr, nr)
metric_name = "DERIVED%d" % nr
# Scaling and upsidedown handling for legend
commands += "CDEF:%s_LEGSCALED=%s,%f,/ " % (
metric_name, metric_name, legend_scale)
if upside_down:
commands += "CDEF:%s_LEGSCALED%s=%s,%f,/ " % (
metric_name, upside_down_suffix, metric_name,
legend_scale * upside_down_factor)
else:
mi = translated_metrics[metric_name]
if not title:
title = mi["title"]
color = parse_color_into_hexrgb(mi["color"])
unit = mi["unit"]
if custom_color:
color = "#" + custom_color
# Paint the graph itself
# TODO: Die Breite des Titels intelligent berechnen. Bei legend = "mirrored" muss man die
# Vefügbare Breite ermitteln und aufteilen auf alle Titel
right_pad = " " * (max_title_length - len(title))
commands += "%s:%s%s%s:\"%s%s\"%s " % (
draw_type, metric_name, upside_down_suffix, color,
title.replace(":", "\\:"), right_pad, draw_stack)
if line_type == "area":
commands += "LINE:%s%s%s " % (
metric_name, upside_down_suffix,
render_color(darken_color(parse_color(color), 0.2)))
unit_symbol = unit["symbol"]
if unit_symbol == "%":
unit_symbol = "%%"
else:
unit_symbol = " " + unit_symbol
graph_metrics.append((metric_name, unit_symbol, commands))
# Use title and label of this metrics as default for the graph
if title and not graph_title:
graph_title = title
if not vertical_label:
vertical_label = unit["title"]
# Now create the rrdgraph commands for all metrics - according to the choosen layout
for metric_name, unit_symbol, commands in graph_metrics:
rrdgraph_commands += commands
legend_symbol = unit_symbol
if unit_symbol and unit_symbol[0] == " ":
legend_symbol = " %s%s" % (legend_scale_symbol, unit_symbol[1:])
if legend_symbol == " bits/s":
# Use a literal '%s' so that GPRINT outputs values with the appropriate
# SI magnitude (e.g. 123456 -> 123.456 k)
legend_symbol = " %sbit/s"
for what, what_title in [("AVERAGE", _("average")), ("MAX", _("max")),
("LAST", _("last"))]:
rrdgraph_commands += "GPRINT:%s_LEGSCALED:%s:\"%%8.%dlf%s %s\" " % (
metric_name,
what,
legend_precision,
legend_symbol,
what_title,
)
rrdgraph_commands += "COMMENT:\"\\n\" "
# add horizontal rules for warn and crit scalars
for scalar in graph_template.get("scalars", []):
rrdgraph_commands += _scalar_value_command(scalar, translated_metrics)
# For graphs with both up and down, paint a gray rule at 0
if have_upside_down:
rrdgraph_commands += "HRULE:0#c0c0c0 "
# Now compute the arguments for the command line of rrdgraph
rrdgraph_arguments = ""
graph_title = graph_template.get("title", graph_title)
vertical_label = graph_template.get("vertical_label", vertical_label)
rrdgraph_arguments += " --vertical-label %s --title %s " % (
cmk.utils.quote_shell_string(
vertical_label or " "), cmk.utils.quote_shell_string(graph_title))
min_value, max_value = get_graph_range(graph_template, translated_metrics)
if min_value is not None and max_value is not None:
rrdgraph_arguments += " -l %f -u %f" % (min_value, max_value)
else:
rrdgraph_arguments += " -l 0"
return graph_title + "\n" + rrdgraph_arguments + "\n" + rrdgraph_commands + "\n"
def render_graph_pdf(
instance,
graph_artwork,
graph_data_range,
graph_render_options,
pos_left=None,
pos_top=None,
total_width=None,
total_height=None,
):
pdf_document = instance["document"]
logger.debug(" Render graph %r",
graph_artwork["definition"]["specification"])
if pos_left is None: # floating element
pdf_document.margin(2.5)
# Styling for PDF graphs. Note: We could make some of these
# configurable
font_size = graph_render_options["font_size"]
mm_per_ex = mm_per_ex_by_render_options(graph_render_options)
v_label_margin = 1.0 # mm
t_label_margin = _graph_time_label_margin()
left_border = _graph_vertical_axis_width(graph_render_options)
left_margin = _graph_left_margin(graph_render_options)
top_margin = _graph_top_margin(graph_render_options)
right_margin = _graph_right_margin(graph_render_options)
bottom_margin = _graph_bottom_margin(graph_render_options)
axis_color = parse_color(graph_render_options["foreground_color"])
zero_rule_color = parse_color(graph_render_options["foreground_color"])
canvas_color = parse_color(graph_render_options["canvas_color"])
background_color = parse_color(graph_render_options["background_color"])
foreground_color = parse_color(graph_render_options["foreground_color"])
axis_over_width = _graph_axis_over_width(graph_render_options)
color_gradient = graph_render_options["color_gradient"] / 100.0
curve_line_width = 0.1 # mm
rule_line_width = 0.1 # mm
label_line_width = 0.04 # mm
v_line_color = tuple(
map(parse_color,
[graph_render_options["foreground_color"], "#a0a0a0", "#a0a0a0"]))
v_line_dash = [None, [0.2, 0.4], None]
t_line_color = tuple(
map(parse_color,
[graph_render_options["foreground_color"], "#a0a0a0", "#666666"]))
t_line_dash = [None, [0.2, 0.2], None]
legend_box_line_width = 0.1
pdf_document.save_state()
pdf_document.set_font_size(font_size)
legend_box_size = mm_per_ex
title_height = graph_title_height(graph_render_options)
legend_height = graph_legend_height(graph_artwork, graph_render_options)
if pos_left is not None:
# Absolute placement of graph
height = total_height - title_height - legend_height
width = total_width
else:
# Place graph in page flow
width_ex, height_ex = graph_render_options["size"]
width = width_ex * mm_per_ex
height = height_ex * mm_per_ex
left, top, width, total_height = pdf_document.add_canvas(
width,
height + title_height + legend_height,
border_width=graph_render_options["border_width"],
left_mm=pos_left,
)
# From here width, height, total_height, left and top are in "mm".
right = left + width - right_margin
total_bottom = top - total_height
bottom = top - height - title_height
# Fill canvas with background color
pdf_document.render_rect(left,
total_bottom,
width,
total_height,
fill_color=background_color)
# Regular title (above graph area)
if graph_render_options["show_title"] is True:
pdf_document.render_aligned_text(
left + right_margin,
top - title_height,
width,
title_height,
graph_artwork["title"],
align="left",
bold=True,
color=foreground_color,
)
# The following code is inspired by htdocs/js/graphs.js:render_graph(). Whenever
# you change something there, the change should also be reflected here!
bottom_border = _graph_bottom_border(graph_render_options)
# Prepare position and translation of origin
t_range_from = graph_artwork["time_axis"]["range"][0]
t_range_to = graph_artwork["time_axis"]["range"][1]
t_range = t_range_to - t_range_from
t_mm = width - left_border - left_margin - right_margin
t_mm_per_second = 1.0 * t_mm / t_range
v_range_from = graph_artwork["vertical_axis"]["range"][0]
v_range_to = graph_artwork["vertical_axis"]["range"][1]
v_range = v_range_to - v_range_from
v_mm = height - top_margin - bottom_border - bottom_margin
v_mm_per_unit = 1.0 * v_mm / v_range
t_orig = left + left_border + left_margin
v_orig = bottom + bottom_border + bottom_margin
v_axis_orig = v_range_from
# paint graph background
pdf_document.render_rect(t_orig,
v_orig,
t_mm,
v_mm,
fill_color=canvas_color)
# Now transform the whole chooridate system to our real t and v choords
# so if we paint something at (0, 0) it will correctly represent a
# value of 0 and a time point of time_start.
trans_t = lambda t: (t - t_range_from) * t_mm_per_second + t_orig
trans_v = lambda v: v_orig + ((v - v_axis_orig) * v_mm_per_unit)
trans = lambda t, v: (trans_t(t), trans_v(v))
# Paint curves
pdf_document.save_state()
pdf_document.add_clip_rect(t_orig, v_orig, t_mm, v_mm)
step = graph_artwork["step"] / 2.0
for curve in graph_artwork["curves"]:
if curve.get("dont_paint"):
continue
t = graph_artwork["start_time"]
points = curve["points"]
color = parse_color(curve["color"])
if curve["type"] == "area":
prev_lower = None
prev_upper = None
gradient = (
t_orig,
v_orig,
t_orig,
v_orig + v_mm,
(darken_color(color, color_gradient), color,
lighten_color(color, color_gradient)),
(0.0, 0.5, 1.0),
)
for lower, upper in points:
if (lower is not None and upper is not None
and prev_lower is not None and prev_upper is not None):
pdf_document.begin_path()
pdf_document.move_to(
trans_t(t - step) - 0.01, trans_v(prev_lower))
pdf_document.line_to(
trans_t(t - step) - 0.01, trans_v(prev_upper))
pdf_document.line_to(trans_t(t), trans_v(upper))
pdf_document.line_to(trans_t(t), trans_v(lower))
pdf_document.line_to(
trans_t(t - step) - 0.01, trans_v(prev_lower))
pdf_document.close_path()
pdf_document.fill_path(color, gradient=gradient)
prev_lower = lower
prev_upper = upper
t += step
else: # "line"
last_value = None
pdf_document.begin_path()
for value in points:
if value is not None:
p = trans(t, value)
if last_value is not None:
pdf_document.line_to(p[0], p[1])
else:
pdf_document.move_to(p[0], p[1])
last_value = value
t += step
pdf_document.stroke_path(color=color, width=curve_line_width)
pdf_document.restore_state() # Remove clipping
# Now we use these four dimensions for drawing into the canvas using render_...
# functions from pdf. Note: top > bottom.
# Clear areas where values have been painted out of range. This is
# At top and bottom
pdf_document.render_rect(t_orig,
v_orig + v_mm,
t_mm,
top_margin,
fill_color=background_color)
pdf_document.render_rect(t_orig,
bottom,
t_mm,
v_orig - bottom,
fill_color=background_color)
# Paint axes and a strong line at 0, if that is in the range
pdf_document.render_line(t_orig,
v_orig - axis_over_width,
t_orig,
v_orig + v_mm,
color=axis_color)
pdf_document.render_line(t_orig - axis_over_width,
v_orig,
right,
v_orig,
color=axis_color)
if v_range_from <= 0 <= v_range_to:
pdf_document.render_line(t_orig,
trans_v(0),
right,
trans_v(0),
color=zero_rule_color)
# Show the inline title
if graph_render_options["show_title"] == "inline":
title_top = top - (mm_per_ex_by_render_options(graph_render_options) *
2)
pdf_document.render_aligned_text(
left,
title_top,
width,
mm_per_ex_by_render_options(graph_render_options) * 2,
graph_artwork["title"],
align="center",
bold=True,
color=foreground_color,
)
if graph_render_options["show_graph_time"]:
title_top = top - (mm_per_ex_by_render_options(graph_render_options) *
2)
pdf_document.render_aligned_text(
left - right_margin,
title_top,
width,
mm_per_ex_by_render_options(graph_render_options) * 2,
graph_artwork["time_axis"]["title"],
align="right",
bold=True,
color=foreground_color,
)
# Paint the vertical axis
if graph_render_options["show_vertical_axis"]:
# Render optional vertical axis label
vertical_axis_label = graph_artwork["vertical_axis"]["axis_label"]
if vertical_axis_label:
pdf_document.render_aligned_text(
left + left_margin,
top - title_height,
left_border,
title_height,
vertical_axis_label,
align="center",
valign="middle",
color=foreground_color,
)
for position, label, line_width in graph_artwork["vertical_axis"][
"labels"]:
if line_width > 0:
pdf_document.render_line(
t_orig,
trans_v(position),
right,
trans_v(position),
width=label_line_width,
color=v_line_color[line_width],
dashes=v_line_dash[line_width],
)
if graph_render_options["show_vertical_axis"] and label:
pdf_document.render_aligned_text(
t_orig - v_label_margin - left_border,
trans_v(position),
left_border,
mm_per_ex,
label,
align="right",
valign="middle",
color=foreground_color,
)
# Paint time axis
for position, label, line_width in graph_artwork["time_axis"]["labels"]:
t_pos_mm = trans_t(position)
if line_width > 0 and t_pos_mm > t_orig:
pdf_document.render_line(
t_pos_mm,
v_orig,
t_pos_mm,
trans_v(v_range_to),
width=label_line_width,
color=t_line_color[line_width],
dashes=t_line_dash[line_width],
)
if graph_render_options["show_time_axis"] and label:
pdf_document.render_aligned_text(
t_pos_mm,
v_orig - t_label_margin - mm_per_ex,
0,
mm_per_ex,
label,
align="center",
color=foreground_color,
)
# Paint horizontal rules like warn and crit
rules = graph_artwork["horizontal_rules"]
for position, label, color_from_rule, title in rules:
if v_range_from <= position <= v_range_to:
pdf_document.render_line(
t_orig,
trans_v(position),
right,
trans_v(position),
width=rule_line_width,
color=parse_color(color_from_rule),
)
# Paint legend
if graph_render_options["show_legend"]:
legend_lineskip = get_graph_legend_lineskip(graph_render_options)
legend_top_margin = _graph_legend_top_margin()
legend_top = bottom - legend_top_margin + bottom_margin
legend_column_width = (width - left_margin - left_border -
right_margin) / 7.0
def paint_legend_line(color, texts):
l = t_orig
if color:
pdf_document.render_rect(
l,
legend_top + mm_per_ex * 0.2,
legend_box_size,
legend_box_size,
fill_color=color,
line_width=legend_box_line_width,
)
for nr, text in enumerate(texts):
if text:
pdf_document.render_aligned_text(
l + (color and nr == 0 and legend_box_size + 0.8 or 0),
legend_top,
legend_column_width,
legend_lineskip,
text,
align=nr == 0 and "left" or "right",
color=foreground_color,
)
if nr == 0:
l += legend_column_width * 3
else:
l += legend_column_width
scalars = [
("min", _("Minimum")),
("max", _("Maximum")),
("average", _("Average")),
("last", _("Last")),
]
scalars_legend_line: List[Optional[str]] = [None]
paint_legend_line(None, scalars_legend_line + [x[1] for x in scalars])
pdf_document.render_line(t_orig, legend_top, t_orig + t_mm, legend_top)
for curve in graph_artwork["curves"]:
legend_top -= legend_lineskip
texts = [str(curve["title"])]
for scalar, title in scalars:
texts.append(curve["scalars"][scalar][1])
paint_legend_line(parse_color(curve["color"]), texts)
if graph_artwork["horizontal_rules"]:
pdf_document.render_line(t_orig, legend_top, t_orig + t_mm,
legend_top)
for value, readable, color_from_artwork, title in graph_artwork[
"horizontal_rules"]:
legend_top -= legend_lineskip
paint_legend_line(parse_color(color_from_artwork),
[title] + [None] * 3 + [readable])
if graph_artwork["definition"].get("is_forecast"):
pin = trans_t(graph_artwork["requested_end_time"])
pdf_document.render_line(pin,
v_orig,
pin,
trans_v(v_range_to),
color=(0.0, 1.0, 0.0))
pdf_document.restore_state()
if left is None: # floating element
pdf_document.margin(2.5)
logger.debug(" Finished rendering graph")
def render_graph_pdf(
instance,
graph_artwork: GraphArtwork,
graph_data_range: GraphDataRange,
graph_render_options: GraphRenderOptions,
pos_left: Optional[SizeMM] = None,
pos_top: Optional[SizeMM] = None,
total_width: Optional[SizeMM] = None,
total_height: Optional[SizeMM] = None,
) -> None:
pdf_document = instance["document"]
logger.debug(" Render graph %r", graph_artwork["definition"]["specification"])
if pos_left is None: # floating element
pdf_document.margin(2.5)
# Styling for PDF graphs. Note: We could make some of these
# configurable
font_size = graph_render_options["font_size"]
mm_per_ex = mm_per_ex_by_render_options(graph_render_options)
v_label_margin = 1.0 # mm
t_label_margin = _graph_time_label_margin()
left_border = _graph_vertical_axis_width(graph_render_options)
left_margin = _graph_left_margin(graph_render_options)
top_margin = _graph_top_margin(graph_render_options)
right_margin = _graph_right_margin(graph_render_options)
bottom_margin = _graph_bottom_margin(graph_render_options)
axis_color = parse_color(graph_render_options["foreground_color"])
zero_rule_color = parse_color(graph_render_options["foreground_color"])
canvas_color = parse_color(graph_render_options["canvas_color"])
background_color = parse_color(graph_render_options["background_color"])
foreground_color = parse_color(graph_render_options["foreground_color"])
axis_over_width = _graph_axis_over_width(graph_render_options)
color_gradient = graph_render_options["color_gradient"] / 100.0
curve_line_width = 0.1 # mm
rule_line_width = 0.1 # mm
label_line_width = 0.04 # mm
v_line_color = tuple(
map(parse_color, [graph_render_options["foreground_color"], "#a0a0a0", "#a0a0a0"])
)
v_line_dash = [None, [0.2, 0.4], None]
t_line_color = tuple(
map(parse_color, [graph_render_options["foreground_color"], "#a0a0a0", "#666666"])
)
t_line_dash = [None, [0.2, 0.2], None]
legend_box_line_width = 0.1
pdf_document.save_state()
pdf_document.set_font_size(font_size)
legend_box_size = mm_per_ex
title_height = graph_title_height(graph_render_options)
legend_height = graph_legend_height(graph_artwork, graph_render_options)
if pos_left is not None:
# Absolute placement of graph
assert pos_top is not None
assert total_width is not None
assert total_height is not None
height = total_height - title_height - legend_height
width = total_width
else:
# Place graph in page flow
width_ex, height_ex = graph_render_options["size"]
width = width_ex * mm_per_ex
height = height_ex * mm_per_ex
left, top, width, total_height = pdf_document.add_canvas(
width,
height + title_height + legend_height,
border_width=graph_render_options["border_width"],
left_mm=pos_left,
)
# From here width, height, total_height, left and top are in "mm".
right = left + width - right_margin
total_bottom = top - total_height
bottom = top - height - title_height
# Fill canvas with background color
pdf_document.render_rect(left, total_bottom, width, total_height, fill_color=background_color)
# Regular title (above graph area)
if graph_render_options["show_title"] is True:
title_left_margin = left + right_margin
if vertical_axis_label := graph_artwork.get("vertical_axis", {}).get("axis_label"):
title_left_margin = left + left_border + left_margin
pdf_document.render_aligned_text(
title_left_margin,
top - title_height,
width,
title_height,
graph_artwork["title"],
align="left",
bold=True,
color=foreground_color,
)
# so if we paint something at (0, 0) it will correctly represent a
# value of 0 and a time point of time_start.
trans_t = lambda t: (t - t_range_from) * t_mm_per_second + t_orig
trans_v = lambda v: v_orig + ((v - v_axis_orig) * v_mm_per_unit)
trans = lambda t, v: (trans_t(t), trans_v(v))
# Paint curves
pdf_document.save_state()
pdf_document.add_clip_rect(t_orig, v_orig, t_mm, v_mm)
step = graph_artwork["step"] // 2
for curve in graph_artwork["curves"]:
if curve.get("dont_paint"):
continue
t = graph_artwork["start_time"]
color = parse_color(curve["color"])
if curve["type"] == "area":
curve = cast(LayoutedCurveArea, curve)
points = curve["points"]
prev_lower = None
prev_upper = None
gradient = (
t_orig,
v_orig,
t_orig,
v_orig + v_mm,
(darken_color(color, color_gradient), color, lighten_color(color, color_gradient)),
(0.0, 0.5, 1.0),
)
# value of 0 and a time point of time_start.
trans_t = lambda t: (t - t_range_from) * t_mm_per_second + t_orig
trans_v = lambda v: v_orig + ((v - v_axis_orig) * v_mm_per_unit)
trans = lambda t, v: (trans_t(t), trans_v(v))
# Paint curves
pdf_document.save_state()
pdf_document.add_clip_rect(t_orig, v_orig, t_mm, v_mm)
step = graph_artwork["step"] / 2.0
for curve in graph_artwork["curves"]:
if curve.get("dont_paint"):
continue
t = graph_artwork["start_time"]
points = curve["points"]
color = parse_color(curve["color"])
if curve["type"] == "area":
prev_lower = None
prev_upper = None
gradient = (
t_orig,
v_orig,
t_orig,
v_orig + v_mm,
(darken_color(color, color_gradient), color,
lighten_color(color, color_gradient)),
(0.0, 0.5, 1.0),
)
