OpenSpace/gdpval_bench/skills/fallback-python-shell/SKILL.md
2026-03-24 16:03:22 +08:00

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---
name: fallback-python-shell
description: Use run_shell with Python heredoc when execute_code_sandbox or read_file fail
---
# Shell-Based Python Fallback
## When to Use
Use this fallback pattern when:
- `execute_code_sandbox` returns 'unknown error'
- `read_file` returns 'unknown error' for supported formats
- You need to process documents, analyze data, or read files programmatically
## Core Technique
Run Python code through `run_shell` using a heredoc. This bypasses sandbox execution issues while maintaining Python's full capabilities for file I/O and data processing.
### Basic Pattern
```bash
python3 << 'EOF'
# Your Python code here
import json
import os
# Example: Read and process a file
with open('/path/to/file.txt', 'r') as f:
content = f.read()
print(content)
EOF
```
### Key Syntax Points
1. Use `python3 << 'EOF'` (quoted EOF prevents variable expansion in the heredoc)
2. Indent Python code starting from column 0 (no extra indentation from shell)
3. End with `EOF` on its own line with no leading/trailing whitespace
4. Print results to stdout to capture them in the tool response
## Common Use Cases
### Reading Files (Fallback for read_file)
```bash
python3 << 'EOF'
import json
# Read text file
with open('document.txt', 'r') as f:
content = f.read()
print(content)
# Read JSON file
with open('data.json', 'r') as f:
data = json.load(f)
print(json.dumps(data, indent=2))
EOF
```
### Processing Excel/CSV Files
```bash
python3 << 'EOF'
import pandas as pd
# Read Excel file
df = pd.read_excel('data.xlsx', sheet_name='Sheet1')
print(df.to_string())
print(f"Shape: {df.shape}")
# Read CSV
df = pd.read_csv('data.csv')
print(df.head(10))
EOF
```
### Reading PDF Files
```bash
python3 << 'EOF'
import fitz # PyMuPDF
doc = fitz.open('document.pdf')
for page_num in range(len(doc)):
page = doc[page_num]
text = page.get_text()
print(f"=== Page {page_num + 1} ===")
print(text)
doc.close()
EOF
```
### Reading Word Documents
```bash
python3 << 'EOF'
from docx import Document
doc = Document('document.docx')
for para in doc.paragraphs:
print(para.text)
EOF
```
### Data Analysis
```bash
python3 << 'EOF'
import pandas as pd
import numpy as np
df = pd.read_csv('data.csv')
# Basic statistics
print(f"Shape: {df.shape}")
print(f"Columns: {list(df.columns)}")
print(df.describe())
# Filter and aggregate
result = df.groupby('category').agg({'value': 'sum'})
print(result)
EOF
```
## Best Practices
1. **Error Handling**: Wrap file operations in try/except blocks
```bash
python3 << 'EOF'
try:
with open('file.txt', 'r') as f:
content = f.read()
print(content)
except FileNotFoundError:
print("ERROR: File not found")
except Exception as e:
print(f"ERROR: {e}")
EOF
```
2. **Large Output**: For large files, process in chunks or print summaries
```bash
python3 << 'EOF'
with open('large_file.csv', 'r') as f:
for i, line in enumerate(f):
if i < 10:
print(line.strip())
else:
print("... truncated ...")
break
EOF
```
3. **Working Directory**: Remember run_shell executes in the current working directory. Use absolute paths or ensure you're in the right directory.
4. **Multiple Steps**: Chain related operations in a single heredoc rather than multiple calls
```bash
python3 << 'EOF'
# Do all related work in one call
with open('input.json') as f:
data = json.load(f)
processed = [transform(x) for x in data]
with open('output.json', 'w') as f:
json.dump(processed, f)
print("Processing complete")
EOF
```
## Troubleshooting
- **Module not found**: Some packages may not be available. Stick to standard library or commonly pre-installed packages (pandas, numpy are often available).
- **Permission errors**: Ensure files aren't in protected directories.
- **Character encoding**: Specify encoding explicitly: `open('file.txt', 'r', encoding='utf-8')`
- **Very long code**: Split into multiple heredocs or write to a temporary .py file first.