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panel = {'axis_labels': {'x': 'Electron Energy (keV)', 'y': 'Differential Number Intensity (cm^-2 s^-1 sr^-1 keV^-1)'}, 'axis_...ock': '#277da1', 'precursor_transient': '#2a9d8f', 'primary_transient': '#7b2cbf', 'quiet_background': '#d1495b'}, ...}
palette = {}
def normalize_panel(
panel: dict[str, object],
palette: dict[str, object],
) -> dict[str, object]:
panel_palette = panel.get("palette", {})
if not isinstance(panel_palette, dict):
panel_palette = {}
effective_palette = {
**palette,
**panel_palette,
}
axis_labels = panel.get("axis_labels", {})
if not isinstance(axis_labels, dict):
axis_labels = {}
normalized = {
"title": panel.get("title"),
"x_label": panel.get(
"x_label",
panel.get("x_axis_label", axis_labels.get("x")),
),
"y_label": panel.get(
"y_label",
panel.get("y_axis_label", axis_labels.get("y")),
),
"event_id": panel.get("event_id"),
}
scales = panel.get(
"axis_scales",
panel.get("scales", {}),
)
if not isinstance(scales, dict):
scales = {}
normalized["x_scale"] = panel.get("x_scale", scales.get("x"))
normalized["y_scale"] = panel.get("y_scale", scales.get("y"))
limits = panel.get(
"axis_limits",
panel.get("limits", {}),
)
if not isinstance(limits, dict):
limits = {}
normalized["x_limits"] = panel.get("x_limits", limits.get("x"))
normalized["y_limits"] = panel.get("y_limits", limits.get("y"))
bounds = panel.get(
"pixel_bounds_top_left",
panel.get(
"pixel_bounds_top_left_origin",
panel.get("pixel_bounds"),
),
)
if isinstance(bounds, dict):
left = bounds.get("left")
top = bounds.get("top")
right = bounds.get("right")
bottom = bounds.get("bottom")
if right is None and left is not None:
right = float(left) + float(bounds.get("width"))
if bottom is None and top is not None:
bottom = float(top) + float(bounds.get("height"))
bounds = [left, top, right, bottom]
normalized["pixel_bounds_top_left"] = bounds
submitted_series = panel.get("series")
if submitted_series is None:
event_id = panel.get("event_id")
if {
"precursor",
"primary",
"quiet",
"bow_shock",
} <= set(effective_palette):
submitted_series = {
"precursor": {
"event_id": "precursor",
"x_field": "energy_kev",
"y_field": "transient_mean",
},
"primary": {
"event_id": "primary",
"x_field": "energy_kev",
"y_field": "transient_mean",
},
"quiet": {
"x_field": "energy_kev",
"y_field": "quiet_mean",
},
"bow_shock": {
"x_field": "energy_kev",
"y_field": "bow_shock_mean",
},
}
elif (
event_id in EVENT_IDS
and {"low_energy", "high_energy"}
<= set(effective_palette)
):