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Four-step recovery workflow for code execution failures when inline Python fails
---
name: python-execution-fallback-da6347adf2ff
description: Four-step recovery workflow for code execution failures when inline Python fails
---
# Python Execution Fallback Workflow
This skill provides a systematic debugging approach when inline Python code execution fails, particularly in heredoc or shell_agent contexts.
## Pattern Overview
When Python code execution fails, follow this recovery workflow:
1. **Attempt inline execution first** - Try running Python code directly
2. **Write script to file on failure** - Persist the code to a `.py` file
3. **Execute the file** - Run the saved script via shell
4. **Validate output** - Verify results are correct and complete
## When to Use
Apply this pattern when:
- Inline Python execution fails with syntax or runtime errors
- Heredoc-based code execution encounters parsing issues
- Working with complex multi-line scripts that need debugging
- Need systematic approach to isolate execution failures
- Spreadsheet/data generation tasks fail in inline mode
## Step-by-Step Instructions
### Step 1: Attempt Inline Execution
Try executing Python code inline first (using execute_code_sandbox or similar):
```python
# Example: Attempt inline execution
import pandas as pd
import openpyxl
df = pd.read_excel("input.xlsx")
# Process data...
df.to_excel("output.xlsx", index=False)
```
If this succeeds, proceed. If it fails, move to Step 2.
### Step 2: Write Script to File (On Failure)
When inline execution fails, write the complete script to a persistent file:
```python
# Capture the script content
script_content = '''
import pandas as pd
import openpyxl
import sys
try:
# Your original code here
df = pd.read_excel("input.xlsx")
# Processing logic
result_df = df.groupby("category").sum()
# Output
result_df.to_excel("output.xlsx", index=False)
print("SUCCESS: File generated")
except Exception as e:
print(f"ERROR: {e}", file=sys.stderr)
sys.exit(1)
'''
# Write to file
with open("script.py", "w") as f:
f.write(script_content)
print("Script written to script.py")
```
### Step 3: Execute the File
Run the saved script using shell execution:
```bash
python script.py
```
Or with error capture:
```bash
python script.py 2>&1 | tee execution.log
```
This approach:
- Avoids heredoc parsing issues
- Provides clearer error messages
- Allows script inspection and modification
- Enables re-execution without rewriting
### Step 4: Validate Output
Verify the results are correct:
```python
# Validation script
import pandas as pd
import os
# Check file exists
if os.path.exists("output.xlsx"):
df = pd.read_excel("output.xlsx")
print(f"Rows: {len(df)}, Columns: {len(df.columns)}")
print(df.head())
print("VALIDATION: PASSED")
else:
print("VALIDATION: FAILED - Output file missing")
```
## Code Example: Complete Workflow
```python
# Full fallback workflow example
def generate_spreadsheet_fallback(data, output_path):
"""Generate spreadsheet with fallback workflow"""
# Step 1: Try inline
inline_script = f'''
import pandas as pd
data = {data}
df = pd.DataFrame(data)
df.to_excel("{output_path}", index=False)
'''
try:
# Attempt inline execution
result = execute_code_sandbox(code=inline_script)
if "error" not in result.lower():
return "SUCCESS_INLINE"
except Exception as e:
pass
# Step 2: Write to file
file_script = f'''
import pandas as pd
import sys
try:
data = {data}
df = pd.DataFrame(data)
df.to_excel("{output_path}", index=False)
print("SUCCESS")
except Exception as e:
print(f"ERROR: {{e}}", file=sys.stderr)
sys.exit(1)
'''
with open("generate.py", "w") as f:
f.write(file_script)
# Step 3: Execute file
shell_result = run_shell(command="python generate.py")
# Step 4: Validate
if os.path.exists(output_path):
return "SUCCESS_FILE"
else:
return "FAILED"
```
## Best Practices
1. **Include error handling** in file-based scripts (try/except with sys.stderr)
2. **Add success indicators** (print statements) to confirm execution
3. **Preserve original logic** when converting from inline to file
4. **Check return codes** when executing scripts via shell
5. **Clean up temporary files** after successful validation
6. **Log both stdout and stderr** for debugging
## Common Failure Scenarios
This pattern helps resolve:
- Heredoc string escaping issues
- Multi-line code formatting problems
- Import path resolution failures
- Environment variable access issues
- Complex indentation in inline code
## Related Patterns
- Combine with `retry-with-modification` for iterative debugging
- Use alongside `output-validation-check` for result verification
- Pair with `error-log-analysis` for root cause identification---
name: python-execution-fallback-da6347adf2ff
description: Four-step recovery workflow for code execution failures when inline Python fails
---
# Python Execution Fallback Workflow
This skill provides a systematic debugging approach when inline Python code execution fails, particularly in heredoc or shell_agent contexts.
## Pattern Overview
When Python code execution fails, follow this recovery workflow:
1. **Attempt inline execution first** - Try running Python code directly
2. **Write script to file on failure** - Persist the code to a `.py` file
3. **Execute the file** - Run the saved script via shell
4. **Validate output** - Verify results are correct and complete
## When to Use
Apply this pattern when:
- Inline Python execution fails with syntax or runtime errors
- Heredoc-based code execution encounters parsing issues
- Working with complex multi-line scripts that need debugging
- Need systematic approach to isolate execution failures
- Spreadsheet/data generation tasks fail in inline mode
## Step-by-Step Instructions
### Step 1: Attempt Inline Execution
Try executing Python code inline first (using execute_code_sandbox or similar):
```python
# Example: Attempt inline execution
import pandas as pd
import openpyxl
df = pd.read_excel("input.xlsx")
# Process data...
df.to_excel("output.xlsx", index=False)
```
If this succeeds, proceed. If it fails, move to Step 2.
### Step 2: Write Script to File (On Failure)
When inline execution fails, write the complete script to a persistent file:
```python
# Capture the script content
script_content = '''
import pandas as pd
import openpyxl
import sys
try:
# Your original code here
df = pd.read_excel("input.xlsx")
# Processing logic
result_df = df.groupby("category").sum()
# Output
result_df.to_excel("output.xlsx", index=False)
print("SUCCESS: File generated")
except Exception as e:
print(f"ERROR: {e}", file=sys.stderr)
sys.exit(1)
'''
# Write to file
with open("script.py", "w") as f:
f.write(script_content)
print("Script written to script.py")
```
### Step 3: Execute the File
Run the saved script using shell execution:
```bash
python script.py
```
Or with error capture:
```bash
python script.py 2>&1 | tee execution.log
```
This approach:
- Avoids heredoc parsing issues
- Provides clearer error messages
- Allows script inspection and modification
- Enables re-execution without rewriting
### Step 4: Validate Output
Verify the results are correct:
```python
# Validation script
import pandas as pd
import os
# Check file exists
if os.path.exists("output.xlsx"):
df = pd.read_excel("output.xlsx")
print(f"Rows: {len(df)}, Columns: {len(df.columns)}")
print(df.head())
print("VALIDATION: PASSED")
else:
print("VALIDATION: FAILED - Output file missing")
```
## Code Example: Complete Workflow
```python
# Full fallback workflow example
def generate_spreadsheet_fallback(data, output_path):
"""Generate spreadsheet with fallback workflow"""
# Step 1: Try inline
inline_script = f'''
import pandas as pd
data = {data}
df = pd.DataFrame(data)
df.to_excel("{output_path}", index=False)
'''
try:
# Attempt inline execution
result = execute_code_sandbox(code=inline_script)
if "error" not in result.lower():
return "SUCCESS_INLINE"
except Exception as e:
pass
# Step 2: Write to file
file_script = f'''
import pandas as pd
import sys
try:
data = {data}
df = pd.DataFrame(data)
df.to_excel("{output_path}", index=False)
print("SUCCESS")
except Exception as e:
print(f"ERROR: {{e}}", file=sys.stderr)
sys.exit(1)
'''
with open("generate.py", "w") as f:
f.write(file_script)
# Step 3: Execute file
shell_result = run_shell(command="python generate.py")
# Step 4: Validate
if os.path.exists(output_path):
return "SUCCESS_FILE"
else:
return "FAILED"
```
## Best Practices
1. **Include error handling** in file-based scripts (try/except with sys.stderr)
2. **Add success indicators** (print statements) to confirm execution
3. **Preserve original logic** when converting from inline to file
4. **Check return codes** when executing scripts via shell
5. **Clean up temporary files** after successful validation
6. **Log both stdout and stderr** for debugging
## Common Failure Scenarios
This pattern helps resolve:
- Heredoc string escaping issues
- Multi-line code formatting problems
- Import path resolution failures
- Environment variable access issues
- Complex indentation in inline code
## Related Patterns
- Combine with `retry-with-modification` for iterative debugging
- Use alongside `output-validation-check` for result verification
- Pair with `error-log-analysis` for root cause identificationImported from the listed AgentSkill.sh category. Complete supplied package files and notices are retained. Required external tools and credentials are not installed. No bundled code was executed during import. Individual agent task behavior has not been tested.