> For the complete documentation index, see [llms.txt](https://docs.arcee.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.arcee.ai/arcee-orchestra/workflow-library/code-improvement.md).

# Code Improvement

The code improvement workflow starts with inputting a code snippet, then uses two models to generate improvements: one for making the code more Pythonic and another for identifying and suggesting security improvements. Finally, all improvements are compiled into a Google Doc.

<figure><img src="/files/lyd0ucf1EwevmEiBFcsL" alt=""><figcaption><p>Code Improvement Workflow</p></figcaption></figure>

### Demonstration

{% embed url="<https://youtu.be/glL2Bg4M1do>" %}
Build a Code Review Workflow in Arcee Orchestra
{% endembed %}

### Workflow JSON

{% file src="/files/0Hhc5viF4S2rUuSIya7J" %}
JSON for Code Improvement Workflow
{% endfile %}

{% hint style="info" %}
To download the workflow, select the JSON file above, then use command/control + S and save with the .json extension.
{% endhint %}

### Input/Output Example

{% tabs %}
{% tab title="Input" %}
Any python code, such as:

```python
import subprocess
import sys


def install_package(package_name):
  try:
    __import__(package_name)
  except ImportError:
    print(f"{package_name} not found. Installing...")
    subprocess.check_call([sys.executable, "-m", "pip", "install", package_name])


install_package("yfinance")

```

{% endtab %}

{% tab %}
The workflow output is a Google Doc, which has content similar to the following:

#### Original Code

```python
import subprocess
import sys


def install_package(package_name):
  try:
    __import__(package_name)
  except ImportError:
    print(f"{package_name} not found. Installing...")
    subprocess.check_call([sys.executable, "-m", "pip", "install", package_name])


install_package("yfinance")
```

#### Pythonic Improvements

```python
import importlib
import subprocess
import sys


def install_package(package_name):
    try:
        importlib.import_module(package_name)
    except ImportError:
        print(f"{package_name} not found. Installing...")
        subprocess.check_call([sys.executable, "-m", "pip", "install", package_name])


install_package("yfinance")
```

```python
import importlib.util
import subprocess
import sys


def install_package(package_name):
    if importlib.util.find_spec(package_name) is None:
        print(f"{package_name} not found. Installing...")
        subprocess.check_call([sys.executable, "-m", "pip", "install", package_name])


install_package("yfinance")
```

#### Explanation:

\- **importlib.import\_module vs. importlib.util.find\_spec**: The importlib.import\_module function attempts to import the module, which can be slow and unnecessary if we only want to check for its existence. importlib.util.find\_spec is more efficient as it only checks if the module specification exists without performing the import.

\- **Readability**: Using importlib.util.find\_spec makes the code more readable and Pythonic, as it clearly expresses the intent to check for the module's existence without side effects.

#### Security Improvements

1\. **Remote Code Execution**: The subprocess.check\_call function can be risky if the package\_name is derived from user input. This can be mitigated by sanitizing the input and using a whitelist of trusted packages.

2\. **Package Integrity**: Verify the package's integrity by using a trusted package index or checking digital signatures.

3\. **Error Handling**: Implement comprehensive error handling to manage various failure scenarios.

4\. **Virtual Environments**: Encourage the use of virtual environments to isolate package installations.

5\. **Update pip**: Ensure pip is up-to-date to benefit from the latest security patches.

```python
subprocess.check_callpackage_namepipimport subprocess
import sys
import pkg_resources


def install_package(package_name, source=None):
    # Check if the package is already installed
    if package_name in {pkg.key for pkg in pkg_resources.working_set}:
        print(f"{package_name} is already installed.")
        return


    # Ensure the package name is safe and trusted
    trusted_packages = {'yfinance', 'numpy', 'pandas', 'requests'}  # Example trusted packages
    if package_name not in trusted_packages:
        raise ValueError(f"Untrusted package: {package_name}")


    # Check if the package source is trusted
    trusted_sources = ['https://pypi.org/simple']
    if source is not None and source not in trusted_sources:
        raise ValueError(f"Untrusted source for {package_name}")


    try:
        # Install the package with a trusted source
        subprocess.check_call([sys.executable, "-m", "pip", "install", package_name, "--index-url", source or trusted_sources[0]])
    except subprocess.CalledProcessError as e:
        print(f"Error installing {package_name}: {e}")
    except Exception as e:
        print(f"An unexpected error occurred: {e}")


# Example usage:
install_package("yfinance", "https://pypi.org/simple")

```

#### Explanation:

\- **Input Validation**: The trusted\_packages set ensures that only known and trusted packages can be installed. This prevents potential command injection attacks.

\- **Trusted Sources**: The trusted\_sources list restricts the package installation to trusted indices, reducing the risk of installing malicious packages.

\- **Error Handling**: Comprehensive error handling is implemented to catch and report specific errors, such as subprocess.CalledProcessError, and handle unexpected exceptions.

\- **Virtual Environments**: While not explicitly shown in the code, it is recommended to run this script within a virtual environment to isolate the package installation.

\- **Update pip**: Ensure that pip is up-to-date by running pip install --upgrade pip periodically.

trusted\_packagestrusted\_sourcessubprocess.CalledProcessErrorpippip install --upgrade pipBy implementing these improvements, the code becomes more Pythonic, efficient, and secure.
{% endtab %}
{% endtabs %}