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f435185671
gemini_cli_generate_questions.py mirrors gemini_cli_math_review.py's design: review-first, JSON-strict, model pinned to gemini-3.1-pro-preview with a hard guard against override. Targets weak coverage cells from the portfolio balance loop or explicit --target track:topic:zone:level cells. For visual-eligible topics (the 10 archetypes in audit_visual_questions.py), the generator also produces the diagram source artifact (DOT or matplotlib script) which render_visuals.py converts to a ship-ready SVG. This closes the generation→render→validate loop using two different model passes: Gemini drafts; the math review verifies. First generated example: tinyml-0816 (wake-word duty-cycle evaluation) with a matplotlib power-timeline visual. Math review returned CORRECT on the first call. Status remains draft pending broader cross-validation.
34 lines
1.1 KiB
Python
34 lines
1.1 KiB
Python
import os
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import numpy as np
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import matplotlib.pyplot as plt
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plt.figure(figsize=(10, 4))
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t_points = []
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p_points = []
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for i in range(3):
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start = i * 10
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t_points.extend([max(0, start - 1e-5), start, start + 0.02, start + 0.02 + 1e-5])
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p_points.extend([0.01, 15, 15, 0.01])
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if i < 2:
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t_points.append((i+1)*10 - 1e-5)
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p_points.append(0.01)
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plt.plot(t_points, p_points, color='#4a90c4', linewidth=2)
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plt.fill_between(t_points, p_points, 1e-3, color='#cfe2f3', alpha=0.5)
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plt.axhline(y=0.04, color='red', linestyle='--', label='40 $\mu$W Avg Budget')
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plt.axhline(y=0.01, color='green', linestyle=':', label='10 $\mu$W Sleep')
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plt.yscale('log')
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plt.ylim(0.005, 30)
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plt.yticks([0.01, 0.04, 0.1, 1, 15], ['10 $\mu$W', '40 $\mu$W', '0.1 mW', '1 mW', '15 mW'])
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plt.title("Duty Cycle Power Timeline (T = 10s)")
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plt.xlabel("Time (seconds)")
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plt.ylabel("Power")
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plt.grid(True, axis='y', alpha=0.3)
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plt.legend(loc='center right')
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out_path = os.environ.get("VISUAL_OUT_PATH", "out.svg")
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plt.savefig(out_path, format="svg", bbox_inches="tight")
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plt.close() |