Ryan Malloy
66ec2ba9e7
New visualize_tides and visualize_conditions MCP tools that generate PNG (inline via MCP ImageContent) or interactive HTML (Plotly) charts. Optional dependency group [viz] keeps the base install lightweight. - charts/ package: rendering logic separated from MCP tool wiring - Shared marine color palette (ocean blue, teal, slate, sand, coral) - 14 new tests (parsing, PNG/HTML rendering, tool registration) - Example chart images in README with realistic synthetic tidal data
34 lines
971 B
Python
34 lines
971 B
Python
"""Chart rendering for NOAA tide and conditions data.
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Optional dependency — requires noaa-tides[viz] to be installed.
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"""
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# Marine color palette — shared across all chart renderers
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OCEAN_BLUE = "#1B4F72"
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TEAL = "#148F77"
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SLATE = "#5D6D7E"
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SAND = "#D4A017"
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CORAL = "#E74C3C"
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BG_COLOR = "#FAFAFA"
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GRID_COLOR = "#E0E0E0"
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def check_deps(format: str) -> None:
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"""Raise ValueError with install hint if visualization deps are missing."""
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if format == "png":
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try:
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import matplotlib # noqa: F401
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except ImportError:
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raise ValueError(
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"PNG charts require matplotlib. Install with: "
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"uv pip install noaa-tides[viz]"
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)
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elif format == "html":
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try:
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import plotly # noqa: F401
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except ImportError:
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raise ValueError(
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"HTML charts require plotly. Install with: "
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"uv pip install noaa-tides[viz]"
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)
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