import plotly.graph_objects as go
labels = ["left_a", "left_b", "left_c", "left_d", "left_e", "left_f", "left_g", "left_h", "left_i", "left_j", "left_k", "left_l", "left_m",
 "left_n", "left_o", "left_p", "left_q", "left_r",
 "right_a", "right_b", "right_c", "right_d", "right_e", "right_f", "right_g", "right_h", "right_i", "right_j", "right_k", "right_l"]
node_pos = {
 "left_a": (0.1, 0.1), "left_b": (0.1, 0.14), "left_c": (0.1, 0.18), "left_d": (0.1, 0.23),
 "left_e": (0.1, 0.27), "left_f": (0.1, 0.31), "left_g": (0.1, 0.35),
 "left_h": (0.1, 0.40), "left_i": (0.1, 0.44), "left_j": (0.1, 0.48),
 "left_k": (0.1, 0.52), "left_l": (0.1, 0.56), "left_m": (0.1, 0.61),
 "left_n": (0.1, 0.65), "left_o": (0.1, 0.69), "left_p": (0.1, 0.73),
 "left_q": (0.1, 0.77), "left_r": (0.1, 0.82),
 "right_a": (0.9, 0.05),
 "right_b": (0.9, 0.15), "right_c": (0.9, 0.25), "right_d": (0.9, 0.35), "right_e": (0.9, 0.45), "right_f": (0.9, 0.55), "right_g": (0.9, 0.65),
 "right_h": (0.9, 0.75), "right_i": (0.9, 0.85), "right_j": (0.9, 0.93), "right_k": (0.9, 0.97), "right_l": (0.9, 0.99)}
sources = [0, 0, 0, 1, 1, 1, 1, 1, 1, 2, 3, 3, 3, 3, 4, 4, 4, 5, 5, 5, 5, 5, 6, 6, 6, 6, 7, 7, 7, 7, 7, 8, 9, 9, 9, 9, 9, 9, 9, 9, 10,
 10, 10, 11, 12, 13, 13, 13, 13, 13, 13, 14, 14, 14, 14, 14, 14, 14, 14, 14, 15, 15, 15, 15, 15, 15, 16, 16, 16, 18, 18, 18, 19, 19, 19, 19, ]
targets = [23, 21, 20, 26, 30, 20, 24, 22, 21, 20, 20, 25, 29, 22, 22, 29, 20, 20, 22, 25, 24, 29, 20, 22, 29, 21, 21, 20, 24, 30, 22,
 20, 20, 21, 25, 22, 30, 28, 24, 29, 20, 21, 24, 20, 20, 22, 20, 23, 21, 24, 31, 25, 21, 22, 20, 23, 30, 27, 26, 24, 21, 20, 22,
 23, 30, 25, 20, 21, 22, 20, 21, 25, 20, 22, 21, 24, ]
values = [1 for _ in targets]
assert len(sources) == len(targets) == len(values)
x_positions: list[float] = [node_pos[lbl][0] for lbl in labels]
y_positions: list[float] = [node_pos[lbl][1] for lbl in labels]
fig = go.Figure(
 go.Sankey(
 arrangement="fixed",
 node=dict(
 label=labels,
 x=x_positions,
 y=y_positions,
 ),
 link=dict(
 source=sources,
 target=targets,
 value=values,
 ),
 )
)
# fig.show()
fig.write_image("debug.svg", format="svg")