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>
63 lines
1.7 KiB
Python
63 lines
1.7 KiB
Python
"""Canvas sizing and panel layout computation."""
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from __future__ import annotations
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from dataclasses import dataclass
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from app.models.style import LAYOUT
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@dataclass
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class PanelBounds:
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"""Pixel boundaries for a chart panel's plot area."""
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left: float
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right: float
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top: float
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bottom: float
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@property
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def width(self) -> float:
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return self.right - self.left
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@property
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def height(self) -> float:
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return self.bottom - self.top
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def compute_layout(layout_type: str) -> tuple[int, int, list[PanelBounds]]:
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"""Compute canvas dimensions and panel bounds.
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Returns: (canvas_width, canvas_height, list_of_panel_bounds)
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"""
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margins = LAYOUT["margins"]
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if layout_type == "dual_panel":
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dims = LAYOUT["dual_panel"]
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w, h = dims["width"], dims["height"]
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gap = LAYOUT["panel_gap"]
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usable_width = w - margins["left"] - margins["right"] - gap
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panel_width = usable_width / 2
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left_panel = PanelBounds(
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left=margins["left"],
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right=margins["left"] + panel_width,
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top=margins["top"],
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bottom=h - margins["bottom"],
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)
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right_panel = PanelBounds(
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left=margins["left"] + panel_width + gap,
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right=w - margins["right"],
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top=margins["top"],
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bottom=h - margins["bottom"],
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)
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return w, h, [left_panel, right_panel]
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else: # single
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dims = LAYOUT["single"]
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w, h = dims["width"], dims["height"]
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panel = PanelBounds(
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left=margins["left"],
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right=w - margins["right"],
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top=margins["top"],
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bottom=h - margins["bottom"],
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)
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return w, h, [panel]
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