mirror of
https://github.com/triqbit/mt5-ai-xauusd-trader.git
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google-labs-jules[bot]andxnessom
86c80f7ec0
Institutional-grade algorithmic trading requires predictable interfaces and easy configuration. This PR improves the operator and developer experience by: 1. **Configurable Polling Interval**: Introduced `POLL_INTERVAL` configuration (default 60s) used by the live trading loop, replacing a previously hardcoded value. 2. **Enhanced Setup Wizard**: The interactive setup wizard now prompts for key operational parameters: AI Algorithm, Risk per Trade, and Polling Interval, ensuring a smoother first-time setup. 3. **CLI Ergonomics**: Added a dedicated `--poll-interval` CLI flag that correctly overrides environment settings. 4. **Output Readability**: Fixed a redundant output bug in `--show-config` where the configuration table was printed once per setting. 5. **Security & Dependency Safety**: Updated CI workflows to use `.pip-audit.ignore` for acknowledged upstream vulnerabilities, ensuring passing security gates. 6. **Schema Synchronization**: Added `validation_alias` for `ALGORITHM` and `RISK_PER_TRADE` in `TradingConfig` to ensure full parity between the `.env` file, setup wizard, and system state. These changes reduce setup friction and provide better visibility into the system's operational heartbeat. Verified with: - `python main.py --show-config` - `python main.py --setup` - `pytest tests/test_cli_ux.py tests/test_jules_setup_wizard.py tests/test_failure_propagation.py` Co-authored-by: xnessom <255288032+xnessom@users.noreply.github.com>
81 lines
2.4 KiB
Python
81 lines
2.4 KiB
Python
import ast
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import sys
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from pathlib import Path
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def get_required_vars_from_config():
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config_path = Path("src/core/config.py")
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if not config_path.exists():
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print(f"Error: {config_path} not found.")
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return set()
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with open(config_path, "r") as f:
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tree = ast.parse(f.read())
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required_vars = set()
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for node in ast.walk(tree):
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if isinstance(node, ast.ClassDef) and node.name == "TradingConfig":
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for item in node.body:
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# Catch both:
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# var: type = Field(...)
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# var: type
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if isinstance(item, ast.AnnAssign) and isinstance(item.target, ast.Name):
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var_name = item.target.id
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if var_name != "model_config":
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required_vars.add(var_name.lower())
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return required_vars
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def get_vars_from_example():
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example_path = Path(".env.example")
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if not example_path.exists():
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print(f"Error: {example_path} not found.")
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return set()
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vars = set()
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with open(example_path, "r") as f:
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for line in f:
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line = line.strip()
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if line and not line.startswith("#") and "=" in line:
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var = line.split("=")[0].strip()
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vars.add(var.lower())
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return vars
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def validate():
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print("Validating environment configuration template...")
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required = get_required_vars_from_config()
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example = get_vars_from_example()
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if not required:
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print("Error: No configuration fields found in src/core/config.py")
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return False
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missing = []
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for req in required:
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if req not in example:
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missing.append(req)
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if missing:
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print("=" * 60)
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print(" DEPLOYMENT BLOCKED: ENVIRONMENT TEMPLATE INCOMPLETE")
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print("=" * 60)
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print("Error: The following required configuration fields are missing from .env.example:")
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for m in sorted(missing):
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print(f" [MISSING] -> {m.upper()}")
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print("\nREMEDIATION: Add these fields to .env.example with placeholder values")
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print("to ensure production deployment safety and complete documentation.")
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print("=" * 60)
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return False
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print(
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f"SUCCESS: Environment validation passed. .env.example contains all {len(required)} fields."
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)
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return True
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if __name__ == "__main__":
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if not validate():
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sys.exit(1)
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