deploy-check

Pre-Deployment Check

Run a comprehensive checklist before deploying or pushing changes. No arguments needed.

Checklist Steps

Run these checks in order, stopping on any critical failure:

1. Syntax Validation

Run Python AST parse on all source files:

.venv/bin/python -c "
import ast, pathlib, sys
errors = []
for f in pathlib.Path('src').rglob('*.py'):
    try:
        ast.parse(f.read_text())
    except SyntaxError as e:
        errors.append(f'{f}: {e}')
if errors:
    print('SYNTAX ERRORS:')
    for e in errors: print(f'  {e}')
    sys.exit(1)
print(f'All source files OK')
"

CRITICAL — stop if this fails.

2. Config Validation

Read config/trading_config.yaml and verify:

• •ml_model.confidence_threshold is between 0.40 and 0.70
• •risk_management.stop_loss.fixed_pct is between 0.03 and 0.20
• •ml_model.ensemble.weights — all weights are between 0.0 and 2.0
• •No duplicate keys or YAML parse errors

3. Run Tests

Run the non-ML test suite (ML tests have TF import issues):

.venv/bin/python -m pytest tests/ -x -q --tb=short --ignore=tests/test_models.py --ignore=tests/test_retraining.py --ignore=tests/test_ml_strategy.py

CRITICAL — stop if any test fails. Report the count of passed tests.

4. Model File Check

Verify model files exist and are recent:

• •models/trading_model/ (XGBoost)
• •models/lstm_trading_model/ (LSTM)
• •models/cnn_trading_model/ (CNN)
• •models/transformer_trading_model/ (Transformer)

For each, check if the directory exists and report the last modified date of the model files.

5. Git Status

Run git status and git diff --stat to show:

• •Uncommitted changes
• •Untracked files
• •Current branch

6. Summary

Print a summary table:

If all critical checks pass, report "Ready to deploy". Otherwise, list what needs fixing.