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next-tjwater-server/app/services/time_comparison_chart.py
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4.7 KiB
Python

"""Publication-only validation for same-time-of-day line/scatter comparisons."""
from __future__ import annotations
import re
from collections.abc import Mapping
from datetime import datetime, timedelta, timezone
from typing import Any
from app.domain.domain_errors import require
DISPLAY_TIMEZONE = timezone(timedelta(hours=8))
DAY_SECONDS = 86400
def validate_time_comparison_chart(chart: Mapping[str, Any], *, allow_missing_current: bool = False) -> None:
"""Validate new publications; persisted historical charts keep their read contract."""
chart_type = chart["chart_type"]
series = chart["series"]
kinds = {item.get("type") or chart_type for item in series}
if chart_type != "time_comparison":
require(not {"line", "scatter"} <= kinds, "TIME_COMPARISON_INVALID",
"曲线与历史散点复合图须使用 chart_type=time_comparison", status=422)
return
def check(condition: bool, message: str) -> None:
require(condition, "TIME_COMPARISON_INVALID", message, status=422)
kinds = {item.get("type") or "line" for item in series}
check(kinds == {"line", "scatter"},
"time_comparison 的 series 必须包含当前 line 和历史 scatter,不能混入 bar")
labels = chart["x_data"]
check(all(re.fullmatch(r"(?:[01][0-9]|2[0-3]):[0-5][0-9](?::[0-5][0-9])?", label)
for label in labels),
"time_comparison.x_data 只接受 HH:mm 或 HH:mm:ss 时刻;历史日期保留在 sample_times,不能追加到横轴")
check(len({len(label) for label in labels}) == 1, "x_data 必须使用一致的时刻精度")
seconds = [sum(int(part) * factor for part, factor in zip(label.split(":"), (3600, 60, 1)))
for label in labels]
offsets = [0]
for index in range(1, len(seconds)):
step = (seconds[index] - seconds[index - 1]) % DAY_SECONDS
check(step > 0, f"x_data[{index}] 重复了上一时刻;历史点应复用当前槽位")
offsets.append(offsets[-1] + step)
check(offsets[-1] < DAY_SECONDS, "x_data 必须按时间递增且小于一天,不能追加多天历史槽位")
current_bases: set[datetime] = set()
historical_bases: list[datetime] = []
for series_index, item in enumerate(series):
times = item.get("sample_times")
path = f"series[{series_index}]"
check(times is not None and len(times) == len(labels), f"{path}.sample_times 必须提供并与 x_data 等长")
bases: set[datetime] = set()
for index, (value, at) in enumerate(zip(item["data"], times, strict=True)):
check((value is None) == (at is None),
f"{path}.sample_times[{index}]:每个有效值必须保留真实带时区时间,缺测值和时间均填 null")
if at is None:
continue
try:
local = datetime.fromisoformat(at).astimezone(DISPLAY_TIMEZONE)
base = local - timedelta(seconds=offsets[index])
except OverflowError:
check(False, f"{path}.sample_times[{index}] 超出同期对比可表达的日期范围")
label = labels[index]
expected = local.strftime("%H:%M:%S" if len(label) == 8 else "%H:%M")
check(expected == label and local.microsecond == 0 and (len(label) == 8 or local.second == 0),
f"{path}.sample_times[{index}] 换算为 UTC+8 后须与 x_data[{index}]={label} 对齐")
bases.add(base)
check(len(bases) <= 1, f"{path}.sample_times 必须按同一窗口对齐,不能将不同日期拼入同一组")
if (item.get("type") or "line") == "line":
current_bases.update(bases)
else:
historical_bases.extend(bases)
scada = chart.get("scada")
empty_scada = allow_missing_current and not current_bases and scada and scada["role"] == "comparison"
check(len(current_bases) == 1 or bool(empty_scada),
"当前 line 必须包含真实采样时间,且所有当前曲线使用同一窗口")
# SCADA publication separately verifies every null against persisted reads.
if empty_scada:
window_start = datetime.fromisoformat(scada["window_start"]).astimezone(DISPLAY_TIMEZONE)
start_seconds = window_start.hour * 3600 + window_start.minute * 60 + window_start.second
current = window_start.replace(microsecond=0) + timedelta(seconds=(seconds[0] - start_seconds) % DAY_SECONDS)
else:
current = next(iter(current_bases))
for historical in historical_bases:
delta = (current - historical).total_seconds()
check(delta > 0 and delta % DAY_SECONDS == 0,
"历史 scatter 必须来自当前窗口之前的对应日期,不能使用当天或未来采样")