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"""
ui/code_templates.py
Python code templates for built-in derived channel kinds.
Shown as read-only previews in the UI; clicking "Edit as Custom Script"
converts the channel to custom_script kind with the template pre-filled.
Templates use the enhanced expression namespace:
x — list of source values in order
<name> — each source's channel_id as a named variable
t — elapsed time (seconds)
math — Python math module
vars — shared SignalProcessor._script_vars dict (read/write)
state — per-channel persistent dict (survives between evaluations)
result — assign the computed value here (expression-style exec)
"""
BUILTIN_TEMPLATES: dict = {
"derivative": """\
# dy/dt — backward finite difference
prev_v = state.get("v", x[0])
prev_t = state.get("t", t)
state["v"] = x[0]
state["t"] = t
result = (x[0] - prev_v) / (t - prev_t) if t != prev_t else 0.0
""",
"second_derivative": """\
# d²y/dt² — two-pass finite difference
prev_v = state.get("v", x[0])
prev_t = state.get("t", t)
prev_vel = state.get("vel", 0.0)
cur_vel = (x[0] - prev_v) / (t - prev_t) if t != prev_t else 0.0
result = (cur_vel - prev_vel) / (t - prev_t) if t != prev_t else 0.0
state["v"] = x[0]
state["t"] = t
state["vel"] = cur_vel
""",
"rms": """\
# Rolling RMS over a sliding window
import math as _math
buf = state.setdefault("buf", [])
buf.append(x[0])
window = 20 # adjust window size (samples) here
if len(buf) > window:
buf.pop(0)
result = _math.sqrt(sum(v * v for v in buf) / len(buf))
""",
"power": """\
# Electrical power P = V × I
# source 0 = voltage, source 1 = current
result = x[0] * x[1]
""",
"difference": """\
# Difference A − B
# source 0 = A, source 1 = B
result = x[0] - x[1]
""",
"sum": """\
# Sum of all sources
result = sum(x)
""",
}
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