a3a38e85d2
AI-powered tool that generates publication-quality SVG charts matching PIMCO's InDesign style. Upload Excel/CSV data, write a plain-English brief, then iterate with natural language edits until the chart is exactly right. - Claude Opus 4.6 interprets briefs into structured ChartSpec JSON - Deterministic SVG renderer via drawsvg (no visual hallucinations) - Roboto/Roboto Condensed fonts base64-embedded in SVG - FastAPI + HTMX web frontend with live preview - Conversational refinement: "make lines thicker", "change title", etc. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
52 lines
1.2 KiB
Python
52 lines
1.2 KiB
Python
"""Annotation rendering: ellipses, callouts, labels."""
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from __future__ import annotations
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from datetime import datetime
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import drawsvg as draw
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from app.models.style import COLORS
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from app.renderer.scale import LinearScale, DateScale
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def render_ellipse(
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d: draw.Drawing,
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x_scale: DateScale,
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y_scale: LinearScale,
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x_start: datetime,
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x_end: datetime,
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y_start: float,
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y_end: float,
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):
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"""Render a semi-transparent grey ellipse annotation."""
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px_start = x_scale(x_start)
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px_end = x_scale(x_end)
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py_start = y_scale(y_start)
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py_end = y_scale(y_end)
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cx = (px_start + px_end) / 2
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cy = (py_start + py_end) / 2
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rx = abs(px_end - px_start) / 2
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ry = abs(py_end - py_start) / 2
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d.append(draw.Ellipse(
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cx, cy, rx, ry,
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fill=COLORS["annotation_ellipse"],
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stroke="none",
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))
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def render_text_label(
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d: draw.Drawing,
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text: str,
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x: float,
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y: float,
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font_size: float = 11,
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color: str | None = None,
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):
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"""Render a text annotation at a specific position."""
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d.append(draw.Text(
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text, font_size,
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x, y,
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font_family="Roboto, sans-serif",
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fill=color or COLORS["axis_text"],
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dominant_baseline="middle",
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))
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