feat(adc): UN 标定完成、标定脚本归集到 test/host/cal/
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- UN 通道 5 点最小二乘标定完成:r=555.382141, b=-1, 残差 0.038%, R²=0.99999967
- UA/IA/UN 三路 VALID 置位,保护解卡
- ROM 默认值更新为当前标定值(ADC_CAL_R_Q16_VOLT=555.144958)
- UB/UC/UN 通过 104 写入 ROM 默认值,config.ini 同步
- cal_fit.py 新增 ROLD 表自动读取,不再需要手传 --r-old
- 执行卡精简至 126 行,新增 cal_collect.py 采集脚本与 ROLD 填表
- 标定脚本(cal_fit/cal_write/cal_collect)归集到 test/host/cal/
- 全库文档路径引用同步更新(8 文件)
- UN 当前态文档改写:明确零序电压 U0 语义、本台架未接线状态
- 删除已失效的外部知识底座文档链接
This commit is contained in:
2026-11-13 11:26:36 +08:00
parent 7c505b2457
commit 40a2816a99
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#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""从串口日志采集 meas: 读数并填入执行卡 CALDATA 表。
用法:
cal_collect.py --doc <执行卡路径> --sem ua --point 1 [--samples N] [--log <日志路径>]
自动读取 serial.log 最近 N 拍(默认 15),取中位数,写入 CALDATA 表对应行。
重复运行同一 --point 会覆盖旧值。
"""
import argparse
import re
import statistics
import sys
import time
from pathlib import Path
DEFAULT_LOG = ".dsh/skills/serial-assistant/scripts/state/serial.log"
SEM_FIELD = {"ua": "ua_mv", "un": "un_mv", "ia": "ia_mv"}
def read_median(log_path, sem, n_samples=15, min_val=None):
field = SEM_FIELD.get(sem)
if not field:
print("ERROR: unknown sem %r (use ua/un/ia)" % sem)
return None
text = Path(log_path).read_text(encoding="utf-8", errors="replace")
lines = text.strip().splitlines()
meas = [l for l in lines if "meas:" in l and field + "=" in l]
recent = meas[-n_samples * 2:] if len(meas) >= n_samples * 2 else meas
vals = []
for l in recent:
m = re.search(field + r"=(\d+\.?\d*)", l)
if m:
v = float(m.group(1))
if min_val is not None and v < min_val:
continue
vals.append(v)
if not vals:
return None
return round(statistics.median(vals))
def update_caldata(doc_path, sem, point, value):
text = Path(doc_path).read_text(encoding="utf-8")
m = re.search(r"(<!--\s*CALDATA:BEGIN\s*-->.*?<!--\s*CALDATA:END\s*-->)", text, re.S)
if not m:
print("ERROR: no CALDATA markers in %s" % doc_path)
return False
block = m.group(1)
pattern = r"(\|\s*%s\s*\|\s*%d\s*\|\s*)(\S*|)(\s*\|.*)" % (re.escape(sem), point)
new_block, count = re.subn(pattern, r"\g<1>%d\3" % value, block)
if count != 1:
print("ERROR: expected 1 match for %s point %d, got %d" % (sem, point, count))
return False
text = text.replace(block, new_block)
Path(doc_path).write_text(text, encoding="utf-8", newline="\n")
return True
def main():
ap = argparse.ArgumentParser(description="采集串口读数填入 CALDATA 表")
ap.add_argument("--doc", required=True, help="执行卡文档路径")
ap.add_argument("--sem", required=True, choices=["ua", "un", "ia"], help="通道")
ap.add_argument("--point", required=True, type=int, help="点序号 (1-5)")
ap.add_argument("--samples", type=int, default=15, help="采样拍数 (默认 15)")
ap.add_argument("--log", default=DEFAULT_LOG, help="串口日志路径")
ap.add_argument("--min-val", type=float, default=None,
help="过滤低于此值的读数(切换瞬态)")
ap.add_argument("--wait", type=float, default=3.0,
help="等待新数据到达的秒数 (默认 3)")
a = ap.parse_args()
if a.point < 1 or a.point > 8:
print("ERROR: point must be 1-8")
return 1
time.sleep(a.wait)
med = read_median(a.log, a.sem, a.samples, a.min_val)
if med is None:
print("ERROR: no valid %s data in last %d samples" % (a.sem, a.samples))
return 1
print("%s point %d: %d mV/mA (median of %d samples)" % (a.sem, a.point, med, a.samples))
if not update_caldata(a.doc, a.sem, a.point, med):
return 1
print("OK: updated CALDATA table in %s" % a.doc)
return 0
if __name__ == "__main__":
sys.exit(main())
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#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""N 点最小二乘标定求解器:**全仓唯一实现**(v2.2 起固件侧拟合已删除)。
为什么是唯一实现:标定是台架一次性离线动作——注入已知量 → 读屏上 `meas:` →
在 PC 上解出 r/b → 经 104 写入设备。设备本体只需要接受校正后的参数,不需要
自己拟合曲线。固件里曾有过一份 C 实现,生产代码零调用(被 linker 移除),
留着只会变成第二个真相源,v2.2 已整段删除。所以**本脚本的整数算术就是口径**,
`--selftest` 是它的回归锚点(原 C 侧金标向量已搬进来)。
把台架注入的一串 (屏上读数, 注入已知量) 点拟合成 y = a*x + c(普通最小二乘),
再折回标定层能落盘的 (r_q16, b):
r_new_q16 = round(a * r_old_q16) # 一次项 = 端子↔引脚变比
c_pin_mV = c * 65536 / r_new_q16 # 截距从二次值域折回引脚域
b_new = b_old + round(c_pin_mV * 65536 * 1000 / k_q16)
推导(disp 单位 mV):折算模型 disp = (code + b) × (k_q16/65536) × 1e-3 ×
(r_q16/65536),把 disp_new = a×disp_old + c 的 code 一次项与常数项分别对齐,
一次项给出 r_new = a·r_old,常数项给出上式 b_new(b_old = 写之前设备里的零点,
必须作为入参传进来,因为读数是在那个零点下读的)。
为什么用两点之外的算法:两点没有冗余,单点读数一抖解出的 r 就整条平移;N 点最小二乘
把残差摊到所有点上,并且能顺手判「非线性/削顶/接线反」——这正是两点的盲区。
全程 int64 定点(不用 float 做累加):结果确定、可跨平台复现,同一组输入永远
解出同一个 r_q16。整数路径的圆整次序是本脚本语义的一部分,改一处就要同步
--selftest 的期望值。
用法(仓库根目录,解释器用 .venv):
自检(回归锚点,改动算法后必跑):
.venv/Scripts/python.exe test/host/cal_fit.py --selftest
单路(x = `meas:` 行原样读数 mV/mA;y = 继保仪注入值 V/A,内部 ×1000):
.venv/Scripts/python.exe test/host/cal_fit.py --sem ua \\
--x 5021.5,10041.77,25000,50024.09,99933.02 --y 5,10,25,50,100
批量(读执行卡 <!-- CALDATA:BEGIN/END --> 之间的长表,每行一个点):
.venv/Scripts/python.exe test/host/cal_fit.py --from-doc \\
docs/测试说明/专项验证/ADC多点标定执行流程.md
公共参数:
--r-old 本次读数采集时设备里的变比(浮点):默认 ua/un=1000.0、ia=29.4118;
也可 ua=1000,un=1000,ia=29.4118 形式逐路给
--b-old 本次读数采集时设备里的零点(整数码值,默认 0):裸值或 ua=0,ia=-2 形式
⚠ **同一路的 x 必须在同一个 r 下采集**:拿旧 r 时代的读数和新 r 时代的读数混着
做直线拟合,斜率会被系统性掰弯(表现是解出的 r 差几十个百分点,而合法带仍然放行)。
|r_new/r_old - 1| > 10% 时打 WARN 就是给这件事提个醒。
判据(任一不满足即 REJECT,打印原因,不算可写):
n 不在 [3, 8] 冗余不足或超上限
den <= 0 示值全同 / 点位没拉开
x 与 y 相邻增量方向相反 接线反、通道串、削顶的典型征兆
a <= 0 零斜率/负斜率
r_new_q16 不在 [1.0, 32767.99] 与 run_par_cal_r_set() 的粗守同带
|b_new| > 8192 零点越带(先查前端,不用系数凑)
最大残差 > 满量程跨度 2% 非线性/削顶
输出纯 ASCII(中文只在本注释里);exit 0 = 全部解出且合法,2 = 有拒绝/未填行;
--selftest 的 exit 0 = 全部断言通过,1 = 有失败。
创建日期:2026-11-13(两点 → N 点最小二乘;同日 v2.2 固件侧拟合删除,本脚本转为唯一实现)
"""
import argparse
import re
import sys
# ---- 判据参数(本脚本是唯一实现,这些值即为口径;改动会使 GOLDEN 期望值失效)----
# ⚠ 前 5 个是**独立于固件**的算法参数(原先与已删除的 ADC_CAL_FIT_* 同值,
# 现在以本文件为准);后 4 个是设备侧合法带,必须与 App/algo/adc_cal.h /
# run_par.c 保持一致——那两处仍是设备侧安全闸(写参数时的拦截),不随拟合删除。
K_Q16 = 10000000 # 该路前端斜率(UA/UN/IA 三路同源,同值)
B_MAX = 8192 # 设备侧 ADC_CAL_B_MAX(零点幅值上限,码值)
R_MIN = 65536 # 设备侧 ADC_CAL_R_MIN(比值 1.0)
R_MAX = 2147483647 # 设备侧 ADC_CAL_R_MAX(int32 上限)
MILLI_MAX = 200000 # 单点值域上界(mV / mA),±200 V / ±200 A
C_MAX = 100000 # 截距 c 上界(mV),±100 V
N_MIN = 3 # 点数下限(少于 3 点无冗余)
N_MAX = 8 # 点数上限
RES_PCT = 2 # 最大残差 ÷ 满量程跨度上限(百分比)
# 比值上界的两位小数**向下取整**得 32767.99,不能用 R_MAX/65536.0 直接 %.2f:
# 2147483647/65536 = 32767.99998474,四舍五入会印成 32768.00,与 adc_cal.h /
# run_par.c 的"1.0 ~ 32767.99"口径差一个数(提示文案里的带边界必须和真带一致)。
R_RATIO_MAX = (R_MAX * 100 // 65536) / 100.0 # 32767.99(仅用于提示文案)
# 语义槽位(App/algo/adc_input.h 枚举序:UA0/UB1/UC2/UN3/IA4/IB5/IC6/IN7)
SEM = {
"ua": dict(slot=0, r_old=1000.0), # 电压族 TPAFE
"un": dict(slot=3, r_old=1000.0), # 电压族 TPAFE
"ia": dict(slot=4, r_old=29.4118), # 电流族 TPAFE
}
# 拒绝原因码(负数):本脚本的对外契约,--selftest 与 REASON 文案都按这张表
ERR_ARG = -1
ERR_POINTS = -2
ERR_DEN = -3
ERR_MONO = -4
ERR_SLOPE = -5
ERR_R_BAND = -6
ERR_B_BAND = -7
ERR_RESID = -8
REASON = {
ERR_ARG: "bad argument (|x|,|y| < " + str(MILLI_MAX) +
", k_q16 in (0,1e8], r_old in band)",
ERR_POINTS: "n outside [%d,%d]: got %%d point(s)" % (N_MIN, N_MAX),
ERR_DEN: "x span collapsed (den<=0): readings not spread",
ERR_MONO: "non-monotonic: adjacent x/y increments oppose",
ERR_SLOPE: "slope <= 0: readings flat or reversed vs injected value",
ERR_R_BAND: "r_new out of band [1.0, %.2f]" % R_RATIO_MAX,
ERR_B_BAND: "|b_new| beyond %d codes" % B_MAX,
ERR_RESID: "residual > %d%% of y span (non-linearity / clipping)" % RES_PCT,
}
# ------------------------------------------------------------ 整数算术(唯一实现)
# v2.2 起这里不再是"镜像":App/algo/adc_cal.c 的拟合算术已整段删除,本文件就是口径。
def div_trunc(num, den):
"""整数除法:向零截断(Python // 向负无穷取整,不能直接用)。"""
q = abs(num) // abs(den)
return q if (num < 0) == (den < 0) else -q
def div_round(num, den):
"""四舍五入(half away from zero);den 恒 > 0。
这是本仓库拟合算术**唯一的圆整口径**,不要换成 `(num + den/2)//den` 那种
写法:Python 的 // 对负数是向负无穷取整,负数会在 -0.5 处折向 0,
与期望的 half-away-from-zero 不同。先判符号再取绝对值,不依赖语言行为。
"""
if num >= 0:
return (num + den // 2) // den
return -((-num + den // 2) // den)
def round_int(v):
"""浮点 → 整数:二分之一远离零圆整(入参量化口径,与 to_milli 配对)。"""
return int(v + 0.5) if v >= 0 else -int(-v + 0.5)
def to_milli(v):
"""读数 → 整数毫单位(mV / mA 域,即 fit() 的直接入参)。"""
return round_int(v)
def fit(xs, ys, k_q16=K_Q16, r_old_q16=None, b_old=0):
"""N 点最小二乘标定求解(唯一实现)。返回 (rc, info);rc == 0 时 info 是解。
xs / ys 已是整数 mV / mA;r_old_q16 = 本轮读数采集时的变比 Q16 原值。
整数路径决定 rc 与 r_q16/b;info 里的 a/res%/R2 是报告用浮点量,不参与判定。
"""
n = len(xs)
if r_old_q16 is None:
return ERR_ARG, None
if (k_q16 <= 0) or (k_q16 > 100000000):
return ERR_ARG, None
if (r_old_q16 < R_MIN) or (r_old_q16 > R_MAX):
return ERR_ARG, None
if (n < N_MIN) or (n > N_MAX):
return ERR_POINTS, None
for v in list(xs) + list(ys):
if abs(v) >= MILLI_MAX:
return ERR_ARG, None
# 一趟:累加 + 单调性(相邻点方向必须一致)
sx = sy = sxy = sxx = 0
for i in range(n):
x = xs[i]
y = ys[i]
sx += x
sy += y
sxy += x * y
sxx += x * x
if i > 0:
dx = x - xs[i - 1]
dy = y - ys[i - 1]
if (dx > 0 and dy < 0) or (dx < 0 and dy > 0):
return ERR_MONO, None
num = n * sxy - sx * sy
den = n * sxx - sx * sx
if den <= 0:
return ERR_DEN, None
a_q16 = div_round(num * 65536, den)
if a_q16 <= 0:
return ERR_SLOPE, None
# 先按除法把 a_q16 夹到"r_new 不会越上界"的范围,再做 a_q16 × r_old——
# 顺序反了会在极端点位下把 int64 顶穿(a_q16 可到 1e17 量级)
if a_q16 > (R_MAX * 65536) // r_old_q16:
return ERR_R_BAND, None
r_new_q16 = (a_q16 * r_old_q16 + 32768) >> 16
if (r_new_q16 < R_MIN) or (r_new_q16 > R_MAX):
return ERR_R_BAND, None
# 截距 c:y = a·x + c ⇒ c = (Σy − a·Σx) / n。两遍式(用已算好的 a_q16)。
# 若改成从 num/den 代数展开的 (Σy·den − num·Σx)/(n·den),分子峰值到 1.2e19,
# 超出 int64 上界——Python 的大整数不会溢出,但这条路径要能直接照抄成
# 定点实现,所以这里**刻意保持 int64 可容纳的两遍式**,别改成展开式
c_milli = div_trunc(sy * 65536 - a_q16 * sx, n * 65536)
if c_milli > C_MAX or c_milli < -C_MAX:
return ERR_B_BAND, None # 截距域离谱 = b 必然越带(且护住下一步的 ×2^32)
# 截距折回引脚域,保留 Q16 亚毫伏精度(截到整 mV 会带来约 6.5 码 / mV 的 b
# 量化,把真正的细分零点修正抹平);两步走,别一次乘完(会顶穿 int64)
c_pin_q16 = div_round(c_milli * 65536 * 65536, r_new_q16)
db = div_round(c_pin_q16 * 1000, k_q16)
b_new = b_old + db
if (b_new > B_MAX) or (b_new < -B_MAX):
return ERR_B_BAND, None
# 残差:|y_i − (a·x_i + c)| 与满量程跨度比
y_min = min(ys)
y_max = max(ys)
y_span = y_max - y_min
res_max = 0
for i in range(n):
pred = div_round(a_q16 * xs[i], 65536) + c_milli
res = ys[i] - pred
if res < 0:
res = -res
if res > res_max:
res_max = res
if (res_max * 100) > (y_span * RES_PCT):
return ERR_RESID, None
# 报告用浮点量(不参与判定)
a_f = a_q16 / 65536.0
y_mean = float(sy) / n
ss_res = 0.0
ss_tot = 0.0
for i in range(n):
d = ys[i] - (a_f * xs[i] + c_milli)
t = ys[i] - y_mean
ss_res += d * d
ss_tot += t * t
r2 = (1.0 - ss_res / ss_tot) if ss_tot > 0.0 else 0.0
return 0, dict(n=n, a_q16=a_q16, a=a_f, c_milli=c_milli,
r_new_q16=r_new_q16, r_new=r_new_q16 / 65536.0,
c_pin_mV=c_pin_q16 / 65536.0, db=db, b=b_new,
res_max=res_max,
res_pct=(100.0 * res_max / y_span) if y_span else 0.0,
r2=r2, y_span=y_span,
dev_pct=100.0 * (r_new_q16 / float(r_old_q16) - 1.0))
# ---------------------------------------------------------------- 输入解析
def parse_floats(text):
return [float(s) for s in text.split(",") if s.strip() != ""]
def parse_map(text, defaults, conv):
"""--r-old / --b-old:裸值作用于所有路,或 "ua=…,ia=…" 逐路给。"""
if text is None:
return dict(defaults)
if "=" not in text:
v = conv(text)
return {k: v for k in defaults}
out = dict(defaults)
for part in text.split(","):
part = part.strip()
if not part:
continue
k, v = part.split("=", 1)
k = k.strip().lower()
if k not in defaults:
raise ValueError("unknown sem %r (use ua/un/ia)" % k)
out[k] = conv(v)
return out
def parse_cal_table(path):
"""提取 <!-- CALDATA:BEGIN --> ~ <!-- CALDATA:END --> 之间的长表。
列序:路 | 序号 | 屏上读数(mV/mA) | 注入已知量(V/A),每行一个点。
返回 {sem: [(idx, x_s, y_s), ...]};标记不存在返回 None。
两格全空 = 该点本轮没测(调用方跳过);只填一格 = 半填错误(报 INCOMPLETE)。
"""
with open(path, encoding="utf-8") as f:
text = f.read()
m = re.search(r"<!--\s*CALDATA:BEGIN\s*-->(.*?)<!--\s*CALDATA:END\s*-->",
text, re.S)
if m is None:
return None
groups = {}
for line in m.group(1).splitlines():
line = line.strip()
if not line.startswith("|"):
continue
cells = [c.strip() for c in line.strip("|").split("|")]
sem = cells[0].lower()
if sem not in SEM:
continue # 表头行 / 分隔行自然跳过
if len(cells) < 4:
raise ValueError("row for %r has %d columns; need 4 "
"[sem|idx|reading|injected]" % (sem, len(cells)))
if len(cells) > 4:
# 典型来源:没清空的**旧两点表**(6 列)。静默按前四列解会解出垃圾,
# 所以这里明说——比让用户去猜"怎么 REJECT 了"省一轮台架
raise ValueError("row for %r has %d columns (>4): that is the old "
"two-point table; the N-point table needs exactly "
"4 columns [sem|idx|reading|injected]"
% (sem, len(cells)))
groups.setdefault(sem, []).append((cells[1], cells[2], cells[3]))
return groups
def parse_rold_table(path):
"""提取 <!-- ROLD:BEGIN --> ~ <!-- ROLD:END --> 之间的 r/b 旧值表。
列序:路 | r_old | b_old [| 备注],返回 {sem: {"r": float, "b": int}}。
标记不存在或表为空返回空 dict(调用方回退到 --r-old / SEM 默认)。
"""
with open(path, encoding="utf-8") as f:
text = f.read()
m = re.search(r"<!--\s*ROLD:BEGIN\s*-->(.*?)<!--\s*ROLD:END\s*-->",
text, re.S)
if m is None:
return {}
result = {}
for line in m.group(1).splitlines():
line = line.strip()
if not line.startswith("|"):
continue
cells = [c.strip() for c in line.strip("|").split("|")]
sem = cells[0].lower()
if sem not in SEM:
continue
if len(cells) < 3 or not cells[1] or not cells[2]:
continue
try:
result[sem] = {"r": float(cells[1]), "b": int(float(cells[2]))}
except ValueError:
continue
return result
def parse_cell(s):
if s in ("", "-", "—"):
return None
return float(s)
# ---------------------------------------------------------------- 求解与输出
def solve_and_print(sem, xs, ys, r_old_q16, b_old):
"""解一路并打印判读;成功返回 (sem, slot, r_new, b),拒绝返回 None。"""
ch = SEM[sem]
rc, info = fit(xs, ys, K_Q16, r_old_q16, b_old)
if rc != 0:
reason = REASON[rc]
if rc == ERR_POINTS:
reason = reason % len(xs)
print("sem=%s slot=%d n=%d REJECT %s" % (sem, ch["slot"], len(xs), reason))
return None
print("sem=%s slot=%d n=%d OK r=%.6f r_q16=%d b=%d a=%.9f res%%=%.3f "
"R2=%.8f" % (sem, ch["slot"], info["n"], info["r_new"],
info["r_new_q16"], info["b"], info["a"],
info["res_pct"], info["r2"]))
if abs(info["dev_pct"]) > 10.0:
print("sem=%s WARN r_new dev %+.2f%% vs r_old=%.6f - all points must be "
"read at the same r, and units are mV vs V"
% (sem, info["dev_pct"], r_old_q16 / 65536.0))
return (sem, ch["slot"], info["r_new"], info["b"])
def write_all(done):
"""末尾合并写入命令:先全部 r,再全部 b(cal_write.py 的两段顺序契约)。"""
parts = ["--r 0x%04X=%.6f" % (0x8050 + s, r) for _, s, r, _ in done]
parts += ["--b 0x%04X=%d" % (0x8048 + s, b) for _, s, _, b in done]
print("WRITE-ALL: test/host/cal_write.py " + " ".join(parts))
def run_single(a):
missing = [n for n, v in (("--sem", a.sem), ("--x", a.x), ("--y", a.y))
if v is None]
if missing:
print("ERROR: single-route mode needs %s (or use --from-doc)"
% ",".join(missing))
return 2
try:
xv = parse_floats(a.x)
yv = parse_floats(a.y)
r_map = parse_map(a.r_old, {s: SEM[s]["r_old"] for s in SEM}, float)
b_map = parse_map(a.b_old, {s: 0 for s in SEM}, int)
except ValueError as exc:
print("ERROR: %s" % exc)
return 2
if len(xv) != len(yv):
print("ERROR: --x has %d points, --y has %d" % (len(xv), len(yv)))
return 2
xs = [to_milli(v) for v in xv] # 屏上读数本来就是 mV/mA
ys = [to_milli(v * 1000.0) for v in yv] # 注入已知量 V/A → mV/mA
r_old_q16 = round_int(r_map[a.sem] * 65536.0)
res = solve_and_print(a.sem, xs, ys, r_old_q16, b_map[a.sem])
if res is None:
return 2
write_all([res])
return 0
def run_from_doc(a):
try:
groups = parse_cal_table(a.from_doc)
except OSError as exc:
print("BAD-DOC: %s" % exc)
return 2
except ValueError as exc:
print("BAD-TABLE: %s" % exc)
return 2
if groups is None:
print("NO-MARKER: no <!-- CALDATA:BEGIN/END --> table in %s" % a.from_doc)
return 2
if not groups:
print("EMPTY: CALDATA table has no ua/un/ia rows")
return 2
# ROLD table in doc overrides --r-old defaults; CLI --r-old still wins if given explicitly
rold = parse_rold_table(a.from_doc)
defaults = {s: SEM[s]["r_old"] for s in SEM}
if rold:
for s in rold:
defaults[s] = rold[s]["r"]
try:
r_map = parse_map(a.r_old, defaults, float)
b_defaults = {s: (rold[s]["b"] if s in rold else 0) for s in SEM}
b_map = parse_map(a.b_old, b_defaults, int)
except ValueError as exc:
print("ERROR: %s" % exc)
return 2
done = []
failed = 0
for sem in sorted(groups):
xs, ys = [], []
for idx, x_s, y_s in groups[sem]:
xv = parse_cell(x_s)
yv = parse_cell(y_s)
if xv is None and yv is None:
continue # 整行空 = 本轮没测这个点
if xv is None or yv is None:
print("sem=%s idx=%s INCOMPLETE: need both reading and injected "
"value (or leave both empty); skipped" % (sem, idx))
failed += 1
continue
xs.append(to_milli(xv))
ys.append(to_milli(yv * 1000.0))
if not xs:
print("sem=%s SKIP: no filled points" % sem)
continue
r_old_q16 = round_int(r_map[sem] * 65536.0)
res = solve_and_print(sem, xs, ys, r_old_q16, b_map[sem])
if res is None:
failed += 1
else:
done.append(res)
if done:
write_all(done)
return 0 if (not failed and done) else 2
# ---------------------------------------------------------------- selftest 回归
# 金标向量:原固件单测(v2.1 的 tc_00b_fit)里的那一组,v2.2 固件侧拟合删除后
# 搬到这里。输入与期望值**全部写死**,不在这里现算——现算等于自证,锚点就没意义了。
#
# 数据怎么来的(推导留档,便于将来重构时重新生成):
# code = 500/700/900/1100/1300,真值 r_true=600.0、b_true=+12,
# k_q16=1e7(TPAFE 152.587890625 µV/码),r_old=1000.0,b_old=0
# 引脚电压 = code × 0.152587890625 mV → x(旧 r 下的屏上读数)= 该值 × 1000/1
# y(注入已知量)= (code + 12) × 0.152587890625 × 600.0
GOLDEN = {
"x": [76294, 106812, 137329, 167847, 198364],
"y": [46875, 65186, 83496, 101807, 120117],
"k_q16": K_Q16,
"r_old_q16": 1000 * 65536,
"b_old": 0,
"expect_rc": 0,
"expect_r_q16": 39322000,
"expect_b": 12,
}
# 拒绝路径断言:(名称, xs, ys, r_old_q16, b_old, 期望 rc, 期望原因前缀)
NG_CASES = [
("n<3", [1000, 2000], [1000, 2000], 1000 * 65536, 0, ERR_POINTS, "[3,8]"),
("x all same", [5000, 5000, 5000], [1000, 2000, 3000],
1000 * 65536, 0, ERR_DEN, "x span collapsed"),
("mono reversed", [1000, 2000, 3000, 4000, 5000],
[1000, 2000, 3000, 2000, 1000], 1000 * 65536, 0, ERR_MONO, "non-monotonic"),
("r out of band", [1000, 101000, 199999], [1000, 1001, 1002],
1000 * 65536, 0, ERR_R_BAND, "out of band"),
]
def run_selftest():
"""跑金标向量 + 拒绝路径断言。exit 0 = 全过,1 = 有失败。"""
fails = 0
total = 0
def chk(cond, label):
nonlocal fails, total
total += 1
if cond:
print("[PASS] %s" % label)
else:
print("[FAIL] %s" % label)
fails += 1
g = GOLDEN
rc, info = fit(g["x"], g["y"], g["k_q16"], g["r_old_q16"], g["b_old"])
chk(rc == g["expect_rc"], "golden: rc == %d (got %d)" % (g["expect_rc"], rc))
if info is None:
chk(False, "golden: solver returned no solution")
else:
chk(info["r_new_q16"] == g["expect_r_q16"],
"golden: r_q16 == %d (got %d)" % (g["expect_r_q16"], info["r_new_q16"]))
chk(info["b"] == g["expect_b"],
"golden: b == %d (got %d)" % (g["expect_b"], info["b"]))
for name, xs, ys, ro, bo, want_rc, want_txt in NG_CASES:
rc, _ = fit(xs, ys, K_Q16, ro, bo)
chk(rc == want_rc, "reject %-14s rc == %d (got %d)" % (name, want_rc, rc))
chk(want_txt in REASON.get(want_rc, ""),
"reject %-14s message mentions %r" % (name, want_txt))
print("=== cal_fit selftest: %d/%d PASSED (failed=%d) ===" %
(total - fails, total, fails))
return 0 if fails == 0 else 1
def main():
ap = argparse.ArgumentParser(
description="N-point least-squares calibration solver "
"(sole implementation; firmware no longer fits)")
ap.add_argument("--selftest", action="store_true",
help="run the golden-vector regression (exit 0 = all passed)")
ap.add_argument("--sem", choices=sorted(SEM), default=None)
ap.add_argument("--x", default=None,
help="comma-separated on-screen readings (mV or mA)")
ap.add_argument("--y", default=None,
help="comma-separated injected values (V or A; x1000 inside)")
ap.add_argument("--r-old", default=None,
help="r in the device while readings were taken "
"(default ua/un=1000.0, ia=29.4118; or ua=..,ia=..)")
ap.add_argument("--b-old", default=None,
help="b in the device while readings were taken "
"(codes, default 0; or ua=..,ia=..)")
ap.add_argument("--from-doc", default=None,
help="read the CALDATA-marked long table from a doc")
a = ap.parse_args()
if a.selftest:
return run_selftest()
if a.from_doc is not None:
return run_from_doc(a)
return run_single(a)
if __name__ == "__main__":
sys.exit(main())
+92
View File
@@ -0,0 +1,92 @@
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""两点标定写入器:C_SE_NC_1 两段写下发 r/b,C_RD 读回复核。
复用台架已验收主站库 test/host/iec104_master.py(不重写协议层)。
地址(App/algo/run_par.c run_par_104_write):r = 0x8050+slot,
b = 0x8048+slot;slot UA0/UN3/IA4。执行卡:
docs/测试说明/专项验证/ADC多点标定执行流程.md §4。
用法:
python test/host/cal_write.py --r 0x8050=995.99 --b 0x8048=-1 \
--read 0x8050,0x8048 --expect 995.99,-1
python test/host/cal_write.py --read 0x8050,0x8054 --expect 995.99,29.52
写入顺序刻意**先 r 后 b**:b 走 adc_cal_set() 置 VALID 位,而 VALID 要求
r 已在带——先让 r 就位,语义干净。--b 必须是整数码值。
PN(否定确认)= 执行段拒绝:看串口 `[ERR] set ch=... rejected` 行。
输出纯 ASCII,可直接重定向归档为台架证据;exit 0 全过 / 1 有失败 / 2 连接或协议错误。
"""
import argparse
import os
import sys
sys.path.insert(0, os.path.dirname(os.path.abspath(__file__)))
import bench_defaults # noqa: E402
import iec104_master as m104 # noqa: E402
def parse_pair(text):
addr_s, val_s = text.split("=", 1)
return int(addr_s, 0), float(val_s)
def main():
ap = argparse.ArgumentParser()
ap.add_argument("--ip", default=bench_defaults.DEVICE_IP)
ap.add_argument("--port", type=int, default=2404)
ap.add_argument("--r", action="append", default=[],
help="0xADDR=FLOAT ratio write (repeatable, issued first)")
ap.add_argument("--b", action="append", default=[],
help="0xADDR=INT zero-code write (repeatable, sets VALID)")
ap.add_argument("--read", default="",
help="comma-separated IOA list, C_RD readback")
ap.add_argument("--expect", default="",
help="comma-separated expected values, same order as --read")
a = ap.parse_args()
reads = [x.strip() for x in a.read.split(",") if x.strip()]
expects = [float(x) for x in a.expect.split(",")] if a.expect else []
if not a.r and not a.b and not reads:
ap.error("need at least one --r / --b / --read")
ck = m104.Checks()
try:
m = m104.Master(a.ip, a.port)
except Exception as exc:
print("CONNECT FAIL: %r" % (exc,))
return 2
try:
m._send(m104.u_frame(m104.U_STARTDT_ACT), "U STARTDT act")
ck.add("startdt_con", m.wait_event(
lambda e: e[0] == "startdt_con", 5.0) is not None)
for text in a.r: # 1) ratio first
addr, val = parse_pair(text)
m104.se_write(m, ck, addr, val, "r_%04X" % addr)
for text in a.b: # 2) zero + VALID
addr, val = parse_pair(text)
if abs(val - round(val)) > 1e-6:
print("WARN b=%s not an integer code, truncated to %.0f"
% (text, round(val)))
val = float(round(val))
m104.se_write(m, ck, addr, val, "b_%04X" % addr)
for i, addr_s in enumerate(reads):
want = expects[i] if i < len(expects) else 0.0
m104.rd_set(m, ck, int(addr_s, 0), want, "rd_%s" % addr_s)
finally:
m.close()
bad = [n for n, ok, _ in ck.items if not ok]
print("SUMMARY %s total=%d fail=%d" %
("PASS" if not bad else "FAIL", len(ck.items), len(bad)))
if bad:
print("FAILED: %s" % ", ".join(bad))
return 0 if not bad else 1
if __name__ == "__main__":
sys.exit(main())