Files
NotesAgentic/backend/app/plot/render.py
T
yxxandClaude Code b87f94551b fix(plot): 修复复审问题(2 P2 + 1 P3)
- P2 复杂表达式绕过异常回退:解析与渲染共同纳入局部异常回退;
  AST 深度/节点数上限拦截 RecursionError
- P2 极端有限范围生成 nan SVG:校验坐标跨度有限且 >0,回退安全范围;
  _polyline 拒绝非有限像素坐标
- P3 更新接口契约文档:function-plot 静态 SVG 已实现

Co-Authored-By: Claude Code <noreply@anthropic.com>
2026-09-05 22:49:01 +08:00

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"""Function Plot → 静态 SVG 渲染。
只输出纯几何与 <text> 的 SVG(无 script/foreignObject/内联事件),可安全内嵌 HTML。
所有文本与颜色都经过转义/校验,不把用户输入直接拼进标记。
"""
from __future__ import annotations
import html
import math
import re
from typing import Callable
from app.plot.model import FunctionPlot, StaticRenderResult
from app.plot.parser import PlotParseError, evaluate, parse_expression
_WIDTH = 640
_HEIGHT = 480
_MARGIN = 52 # 四周留白,放轴刻度与标签
_SAMPLES = 400
_PALETTE = ["#0969da", "#d1242f", "#1a7f37", "#8250df", "#bf8700", "#e36209"]
_COLOR_RE = re.compile(r"^#[0-9a-fA-F]{3,8}$")
def _safe_color(color: str | None, fallback: str) -> str:
return color.strip() if color and _COLOR_RE.match(color.strip()) else fallback
def _valid_span(lo: float, hi: float) -> bool:
"""范围跨度有效:端点有限、跨度有限且大于零。
端点相减可能溢出为 ``inf``(如 ``-1e308`` 到 ``1e308``),需单独校验跨度,
否则后续坐标换算会生成含 ``nan`` 的 SVG。
"""
span = hi - lo
return math.isfinite(lo) and math.isfinite(hi) and math.isfinite(span) and span > 0
def _fmt_num(v: float) -> str:
if v == 0:
return "0"
if abs(v) >= 1e6 or abs(v) < 1e-6:
return f"{v:.2e}"
return f"{v:.6g}"
def _nice_step(span: float, target_ticks: int = 6) -> float:
raw = abs(span) / target_ticks
if not math.isfinite(raw) or raw <= 0:
return 1.0 # 兜底步长,避免 span 为 0/inf 时产生非法刻度
mag = 10 ** math.floor(math.log10(raw))
for m in (1, 2, 5, 10):
if raw <= m * mag:
return m * mag
return 10 * mag
def _ticks(lo: float, hi: float, step: float) -> list[float]:
# 防御:非法步长直接返回空,避免除零
if not math.isfinite(step) or step <= 0:
return []
first = math.ceil(lo / step) * step
values: list[float] = []
v = first
# 有上限的整数索引推进 + 步长推进校验,防止浮点精度导致 v+step==v 的死循环
for _ in range(1000):
if v > hi + step * 1e-9:
break
values.append(v)
nxt = v + step
if nxt <= v:
break # 步长小于当前数值的浮点精度,已无法推进
v = nxt
return values
def _compute_range(
fns: list[tuple[object, object]],
xmin: float,
xmax: float,
) -> tuple[float, float]:
"""采样确定 y 范围;取有限样本的 min/max 加 5% 余量。"""
ys: list[float] = []
for _expr, tree in fns:
for i in range(_SAMPLES + 1):
x = xmin + (xmax - xmin) * i / _SAMPLES
try:
y = evaluate(tree, x) # type: ignore[arg-type]
except (ValueError, ZeroDivisionError, OverflowError, TypeError):
continue
# 复数等非实数结果直接跳过,不参与范围统计
if isinstance(y, (int, float)) and math.isfinite(y):
ys.append(y)
if not ys:
return -10.0, 10.0
lo, hi = min(ys), max(ys)
if lo == hi:
lo -= 1.0
hi += 1.0
pad = (hi - lo) * 0.05
return lo - pad, hi + pad
def _polyline(
tree: object,
xmin: float,
xmax: float,
sx: Callable[[float], float],
sy: Callable[[float], float],
color: str,
) -> str:
"""采样并把非有限点处断开成多段 polyline,避免画穿渐近线。"""
segments: list[str] = []
points: list[str] = []
for i in range(_SAMPLES + 1):
x = xmin + (xmax - xmin) * i / _SAMPLES
try:
y = evaluate(tree, x) # type: ignore[arg-type]
except (ValueError, ZeroDivisionError, OverflowError, TypeError):
y = math.nan
if not isinstance(y, (int, float)) or not math.isfinite(y):
if points:
segments.append(f'<polyline points="{" ".join(points)}" fill="none" stroke="{color}"/>')
points = []
continue
px = sx(x)
py = sy(y)
# 映射后的坐标必须有限:显式 range 下极端 y 值可能让像素坐标溢出为 inf
if not (math.isfinite(px) and math.isfinite(py)):
if points:
segments.append(f'<polyline points="{" ".join(points)}" fill="none" stroke="{color}"/>')
points = []
continue
points.append(f"{px:.2f},{py:.2f}")
if points:
segments.append(f'<polyline points="{" ".join(points)}" fill="none" stroke="{color}"/>')
return "".join(segments)
def _grid(
xmin: float,
xmax: float,
ymin: float,
ymax: float,
sx: Callable[[float], float],
sy: Callable[[float], float],
) -> str:
parts: list[str] = []
for x in _ticks(xmin, xmax, _nice_step(xmax - xmin)):
parts.append(f'<line x1="{sx(x):.2f}" y1="{sy(ymin):.2f}" x2="{sx(x):.2f}" y2="{sy(ymax):.2f}" stroke="#eaeef2"/>')
for y in _ticks(ymin, ymax, _nice_step(ymax - ymin)):
parts.append(f'<line x1="{sx(xmin):.2f}" y1="{sy(y):.2f}" x2="{sx(xmax):.2f}" y2="{sy(y):.2f}" stroke="#eaeef2"/>')
return "".join(parts)
def _axes(
xmin: float,
xmax: float,
ymin: float,
ymax: float,
sx: Callable[[float], float],
sy: Callable[[float], float],
) -> str:
parts: list[str] = []
# 坐标轴:过原点则画在原点,否则贴边,保证始终有参照系
x_axis_y = 0.0 if ymin <= 0 <= ymax else ymin
y_axis_x = 0.0 if xmin <= 0 <= xmax else xmin
parts.append(
f'<line x1="{sx(xmin):.2f}" y1="{sy(x_axis_y):.2f}" x2="{sx(xmax):.2f}" y2="{sy(x_axis_y):.2f}" stroke="#57606a"/>'
)
parts.append(
f'<line x1="{sx(y_axis_x):.2f}" y1="{sy(ymin):.2f}" x2="{sx(y_axis_x):.2f}" y2="{sy(ymax):.2f}" stroke="#57606a"/>'
)
# x 轴刻度数字(画在轴下方)
for x in _ticks(xmin, xmax, _nice_step(xmax - xmin)):
parts.append(
f'<text x="{sx(x):.2f}" y="{sy(x_axis_y) + 14:.2f}" text-anchor="middle" font-size="10" fill="#57606a">{html.escape(_fmt_num(x))}</text>'
)
# y 轴刻度数字(画在轴左侧)
for y in _ticks(ymin, ymax, _nice_step(ymax - ymin)):
parts.append(
f'<text x="{sx(y_axis_x) - 6:.2f}" y="{sy(y) + 3:.2f}" text-anchor="end" font-size="10" fill="#57606a">{html.escape(_fmt_num(y))}</text>'
)
return "".join(parts)
def _labels(plot: FunctionPlot, sx: Callable[[float], float], sy: Callable[[float], float]) -> str:
parts: list[str] = []
if plot.axes.xlabel:
parts.append(
f'<text x="{(_WIDTH / 2):.2f}" y="{_HEIGHT - 10:.2f}" text-anchor="middle" font-size="12" fill="#1f2328">{html.escape(plot.axes.xlabel)}</text>'
)
if plot.axes.ylabel:
parts.append(
f'<text x="16" y="{(_HEIGHT / 2):.2f}" text-anchor="middle" font-size="12" fill="#1f2328" transform="rotate(-90 16 {_HEIGHT / 2:.2f})">{html.escape(plot.axes.ylabel)}</text>'
)
return "".join(parts)
def render_svg(plot: FunctionPlot) -> StaticRenderResult:
"""把已解析的 FunctionPlot 渲染为内嵌 SVG。"""
warnings: list[str] = []
xmin, xmax = plot.domain
if not _valid_span(xmin, xmax):
warnings.append("domain 无效,回退到 [-10, 10]")
xmin, xmax = -10.0, 10.0
# 重新解析并编译表达式(parse_source 已校验,这里异常只在模型被绕过时触发)
fns: list[tuple[object, object]] = []
for expr in plot.expressions:
try:
tree = parse_expression(expr.expression)
except PlotParseError as exc:
warnings.append(f"表达式无法渲染,已跳过:{expr.expression}{exc.diagnostic.message}")
continue
fns.append((expr, tree))
# 纵轴范围:显式 range 有效则用之;无效(退化/非有限/跨度溢出)丢弃并自动采样重算
if plot.range is not None:
lo, hi = float(plot.range[0]), float(plot.range[1])
if _valid_span(lo, hi):
ymin, ymax = lo, hi
else:
warnings.append("range 无效,改用自动范围")
ymin, ymax = _compute_range(fns, xmin, xmax)
else:
ymin, ymax = _compute_range(fns, xmin, xmax)
# 最终防线:自动范围在极端样本下也可能溢出,坐标映射前必须保证跨度有限且大于零
if not _valid_span(ymin, ymax):
warnings.append("y 范围跨度无法表示,回退到 [-10, 10]")
ymin, ymax = -10.0, 10.0
def sx(x: float) -> float:
return _MARGIN + (x - xmin) / (xmax - xmin) * (_WIDTH - 2 * _MARGIN)
def sy(y: float) -> float:
return _HEIGHT - _MARGIN - (y - ymin) / (ymax - ymin) * (_HEIGHT - 2 * _MARGIN)
parts: list[str] = [
f'<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 {_WIDTH} {_HEIGHT}" role="img">'
]
if plot.axes.grid:
parts.append(_grid(xmin, xmax, ymin, ymax, sx, sy))
parts.append(_axes(xmin, xmax, ymin, ymax, sx, sy))
for i, (expr, tree) in enumerate(fns):
color = _safe_color(expr.color, _PALETTE[i % len(_PALETTE)])
parts.append(_polyline(tree, xmin, xmax, sx, sy, color))
parts.append(_labels(plot, sx, sy))
parts.append("</svg>")
return StaticRenderResult(
content="".join(parts),
width=_WIDTH,
height=_HEIGHT,
warnings=warnings,
)