LEGSTECH Optimizer
6caafdb794
Major upgrade making the AI loop visible and the project ready for public release. UI / UX - Live AI Thinking Feed: streams reasoning, decisions, and outcomes per iteration - Parameter Changes panel: prev → new + reason for every AI-driven edit - Validation Activity panel: out-of-sample + sensitivity runs with live metrics - Early Termination banner: surfaces why optimization stopped (targets met, no profit, budget, stuck, user stop) - 3-phase tracker renamed Exploration / Iteration / Validation with live N/total - Best Result modal exposes Evolution Path showing how the AI arrived at the winner - Run-detail modal accessible from every recent run row - Setup form validation (dates, walk-forward order, params selection, AI targets) - Pause button removed; misleading sidebar nav consolidated to Dashboard / New Run / Reports / Source Backend - AIGuidedLoop streams ai_thinking, param_changes, ai_targets_met, ai_stuck - Pipeline emits validation_start / validation_run_start / validation_run_complete / validation_done - Pipeline emits early_termination on every early-stop path - /api/best_result returns best run + full evolution chain - /api/run/<id> + /api/runs sorted by ts - AIReasoner falls back to ANTHROPIC_API_KEY env var when config is a placeholder - Demo mode (APEX_DEMO_MODE=1) generates deterministic synthetic backtests so judges can run end-to-end without MT5 Open-source readiness - README.md with pitch, demo flow, architecture diagram, quickstart, event reference - LICENSE (MIT) - config.example.yaml template (config.yaml now git-ignored) - requirements.txt: added anthropic / requests / psutil / beautifulsoup4, capped majors - .gitignore: secrets, *.set, scratch screenshots, ea_registry.yaml - demo/run_demo.py: one-command offline demo runner - 10 polished screenshots for README + judge review
47 lines
1.2 KiB
Python
47 lines
1.2 KiB
Python
"""
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analysis/ai_reasoner_config.py
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Loads the Anthropic API key from config.yaml or environment.
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Add this to config.yaml:
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ai:
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anthropic_api_key: "sk-ant-..."
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enabled: true
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"""
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from __future__ import annotations
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import os
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from pathlib import Path
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import yaml
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def load_api_key(config_path: str | Path = "config.yaml") -> str:
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"""
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Load the Anthropic API key. Priority:
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1. ANTHROPIC_API_KEY environment variable
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2. config.yaml ai.anthropic_api_key
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3. Empty string (fallback mode)
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"""
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env_key = os.environ.get("ANTHROPIC_API_KEY", "")
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if env_key:
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return env_key
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try:
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with open(config_path) as f:
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cfg = yaml.safe_load(f)
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return cfg.get("ai", {}).get("anthropic_api_key", "")
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except Exception:
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return ""
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def is_ai_enabled(config_path: str | Path = "config.yaml") -> bool:
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"""Check if AI reasoning is enabled in config."""
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env_key = os.environ.get("ANTHROPIC_API_KEY", "")
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if env_key:
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return True
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try:
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with open(config_path) as f:
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cfg = yaml.safe_load(f)
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ai_cfg = cfg.get("ai", {})
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return ai_cfg.get("enabled", False) and bool(ai_cfg.get("anthropic_api_key", ""))
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except Exception:
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return False
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