refactor: clean up dependencies and modernize build assets for improved stability

This commit is contained in:
ws50529
2026-05-14 13:59:45 +08:00
parent a9489dafe4
commit a3a88c9830
9 changed files with 1476 additions and 1206 deletions
+38 -15
View File
@@ -1,26 +1,49 @@
import numpy as np
from fastapi import HTTPException
from scipy import signal
from .config import BODE_MAX_MULTIPLIER, BODE_POINTS
from .schemas import BodeParams
from .schemas import BodeCompareParams, BodeParams
from .validation import require_finite, validate_coefficients
def calculate_bode_response(params: BodeParams):
fs_val = require_finite(params.fs, "fs")
b_vals = validate_coefficients(params.b, "b")
a_vals = validate_coefficients(params.a, "a")
f_min = params.fs / 50000.0
f_max = params.fs * BODE_MAX_MULTIPLIER
f_eval = np.logspace(np.log10(f_min), np.log10(f_max), BODE_POINTS)
def _bode_series(b_values, a_values, f_eval, fs_val):
b_vals = validate_coefficients(b_values, "b")
a_vals = validate_coefficients(a_values, "a")
_, h = signal.freqz(b_vals, a_vals, worN=f_eval, fs=fs_val)
mag = 20 * np.log10(np.abs(h) + 1e-12)
phase = np.angle(h, deg=True)
return {
"freq": f_eval.tolist(),
"mag": mag.tolist(),
"phase": phase.tolist(),
"mag": (20 * np.log10(np.abs(h) + 1e-12)).tolist(),
"phase": np.angle(h, deg=True).tolist(),
}
def _frequency_axis(fs):
fs_val = require_finite(fs, "fs")
f_min = fs_val / 50000.0
f_max = fs_val * BODE_MAX_MULTIPLIER
return fs_val, np.logspace(np.log10(f_min), np.log10(f_max), BODE_POINTS)
def calculate_bode_response(params: BodeParams):
fs_val, f_eval = _frequency_axis(params.fs)
series = _bode_series(params.b, params.a, f_eval, fs_val)
return {
"freq": f_eval.tolist(),
"mag": series["mag"],
"phase": series["phase"],
}
def calculate_bode_compare_response(params: BodeCompareParams):
fs_val, f_eval = _frequency_axis(params.ideal.fs)
fixed_fs_val = require_finite(params.fixed.fs, "fixed.fs")
if not np.isclose(fixed_fs_val, fs_val):
raise HTTPException(status_code=400, detail="ideal 與 fixed 的 fs 必須相同")
ideal = _bode_series(params.ideal.b, params.ideal.a, f_eval, fs_val)
fixed = _bode_series(params.fixed.b, params.fixed.a, f_eval, fs_val)
return {
"freq": f_eval.tolist(),
"ideal": ideal,
"fixed": fixed,
}