reliable-script-execution

Reliable Script Execution

When executing Python code via shell commands, avoid inline heredoc execution which can fail unpredictably with 'unknown error'. Use this two-step file-first approach for more reliable script execution.

Problem

Direct heredoc Python execution like:

python3 << 'EOF'
# complex code here
EOF

Can fail with 'unknown error', especially when:

• Script contains multiple lines or complex logic
• Special characters or quotes are present
• Working directory context matters

Solution: File-First Approach

Step 1: Write Python Script to File

Use write_file to save your Python code to a .py file:

write_file(path="./temp_script.py", content="""
import json

data = {"key": "value"}
print(json.dumps(data))
""")

Step 2: Execute via Shell

Use run_shell with explicit working directory:

run_shell(command="python3 ./temp_script.py", timeout=60)

Step 3: Clean Up (Optional)

Remove temporary files after execution:

run_shell(command="rm ./temp_script.py")

Complete Example

Task: Generate a JSON report with calculations

# Step 1: Write the script
write_file(
    path="./generate_report.py",
    content="""
import json
from datetime import datetime

revenue = 500000.00
expenses = 379577.06
net_income = revenue - expenses

report = {
    "generated": datetime.now().isoformat(),
    "revenue": revenue,
    "expenses": expenses,
    "net_income": net_income
}

print(json.dumps(report, indent=2))
"""
)

# Step 2: Execute
run_shell(command="python3 ./generate_report.py", timeout=60)

# Step 3: Clean up
run_shell(command="rm ./generate_report.py")

Best Practices

1. Use descriptive filenames: Name scripts according to their purpose (e.g., calculate_pnl.py, transform_data.py)

2. Set appropriate timeouts: For data processing scripts, use longer timeouts (60-300 seconds)

3. Specify working directory: If the script depends on relative paths, include cd /path && python3 script.py