Auto generates corporate and compliance policies Python

```python
import re
import datetime

def generate_policy(policy_type, company_name="Example Corp", effective_date=None):
    """
    Generates a basic corporate or compliance policy based on the provided type.

    Args:
        policy_type (str): The type of policy to generate (e.g., "Code of Conduct", "Data Privacy", "Anti-Harassment").
        company_name (str): The name of the company. Defaults to "Example Corp".
        effective_date (datetime.date, optional): The effective date of the policy. Defaults to today's date.

    Returns:
        str: The generated policy text.
    """

    if effective_date is None:
        effective_date = datetime.date.today()

    effective_date_str = effective_date.strftime("%Y-%m-%d")  # Format date for policy text.

    policy_type = policy_type.lower()  # Normalize input for easier matching.

    if "code of conduct" in policy_type:
        policy_text = f"""
        {company_name} - Code of Conduct

        Effective Date: {effective_date_str}

        1. Introduction

        {company_name} is committed to maintaining a workplace and business environment that is ethical,
        respectful, and compliant with all applicable laws and regulations.  This Code of Conduct outlines
        the expectations for all employees, contractors, and other individuals acting on behalf of {company_name}.

        2. Core Principles

        * Integrity: Act with honesty and transparency in all business dealings.
        * Respect: Treat all individuals with dignity and respect, regardless of their background or role.
        * Compliance: Adhere to all applicable laws, regulations, and company policies.
        * Confidentiality: Protect confidential information belonging to {company_name} and its stakeholders.
        * Responsibility: Be accountable for your actions and decisions.

        3. Specific Expectations

        * Conflicts of Interest: Avoid situations where personal interests could compromise your objectivity
          or loyalty to {company_name}. Disclose any potential conflicts of interest to your supervisor.
        * Discrimination and Harassment:  {company_name} prohibits discrimination and harassment of any kind,
          including but not limited to race, color, religion, sex, sexual orientation, gender identity,
          national origin, age, disability, or any other protected characteristic.
        * Data Security: Protect company data and systems from unauthorized access, use, or disclosure.
        * Fair Competition:  Engage in fair and ethical competition, and avoid anti-competitive practices.

        4. Reporting Violations

        Employees are encouraged to report any suspected violations of this Code of Conduct to their supervisor,
        Human Resources, or the Ethics Hotline.  Reports will be treated confidentially to the extent possible.

        5. Enforcement

        Violations of this Code of Conduct may result in disciplinary action, up to and including termination of employment.

        6. Review

        This Code of Conduct will be reviewed periodically and updated as necessary.
        """

    elif "data privacy" in policy_type:
        policy_text = f"""
        {company_name} - Data Privacy Policy

        Effective Date: {effective_date_str}

        1. Introduction

        {company_name} is committed to protecting the privacy of personal data entrusted to us. This Data Privacy
        Policy outlines our practices for collecting, using, storing, and protecting personal data in accordance with
        applicable data protection laws and regulations.

        2. Scope

        This policy applies to all personal data processed by {company_name}, including data relating to employees,
        customers, vendors, and other individuals.

        3. Principles

        * Lawfulness, Fairness, and Transparency: We process personal data lawfully, fairly, and transparently.
        * Purpose Limitation: We collect personal data only for specified, explicit, and legitimate purposes.
        * Data Minimization: We collect only the minimum amount of personal data necessary for the specified purposes.
        * Accuracy: We ensure that personal data is accurate and kept up to date.
        * Storage Limitation: We retain personal data only for as long as necessary for the specified purposes.
        * Integrity and Confidentiality: We protect personal data from unauthorized access, use, or disclosure.

        4. Types of Data Collected

        We may collect the following types of personal data:

        * Contact Information (e.g., name, address, email address, phone number)
        * Demographic Information (e.g., age, gender, location)
        * Employment Information (e.g., job title, salary, performance reviews)
        * Financial Information (e.g., bank account details, credit card information)
        * Technical Information (e.g., IP address, browser type, device information)

        5. How We Use Your Data

        We may use your personal data for the following purposes:

        * Providing products and services
        * Communicating with you
        * Processing payments
        * Conducting research and analysis
        * Complying with legal obligations

        6. Data Security

        We implement appropriate technical and organizational measures to protect personal data from unauthorized
        access, use, or disclosure. These measures include:

        * Encryption
        * Access controls
        * Regular security audits
        * Employee training

        7. Your Rights

        You have the following rights regarding your personal data:

        * Right to access: You have the right to request access to your personal data.
        * Right to rectification: You have the right to request correction of inaccurate personal data.
        * Right to erasure: You have the right to request deletion of your personal data.
        * Right to restriction of processing: You have the right to request restriction of processing of your personal data.
        * Right to data portability: You have the right to receive your personal data in a portable format.
        * Right to object: You have the right to object to the processing of your personal data.

        8. Contact Information

        If you have any questions or concerns about this Data Privacy Policy, please contact us at:
        privacy@examplecorp.com
        """

    elif "anti-harassment" in policy_type:
         policy_text = f"""
        {company_name} - Anti-Harassment Policy

        Effective Date: {effective_date_str}

        1. Introduction

        {company_name} is committed to providing a work environment free from harassment.  Harassment of any kind
        is unacceptable and will not be tolerated.  This policy applies to all employees, contractors, vendors,
        and visitors.

        2. Definition of Harassment

        Harassment is any unwelcome conduct that is based on race, color, religion, sex (including pregnancy,
        sexual orientation, or gender identity), national origin, age, disability, genetic information, or any
        other characteristic protected by law.

        Harassment can take many forms, including:

        * Verbal harassment:  Offensive jokes, slurs, insults, and epithets.
        * Visual harassment:  Displaying offensive images, posters, or cartoons.
        * Physical harassment:  Unwanted touching, assault, and battery.
        * Quid pro quo harassment:  Demanding sexual favors in exchange for employment benefits.
        * Hostile work environment:  Creating an intimidating, offensive, or abusive work environment.

        3. Reporting Procedures

        Any employee who believes they have been subjected to harassment should report it immediately to their
        supervisor, Human Resources, or the Ethics Hotline.  Reports will be investigated promptly and thoroughly.

        4. Investigation

        {company_name} will conduct a prompt and thorough investigation of all reports of harassment.  The
        investigation will be conducted in a confidential manner, to the extent possible.

        5. Disciplinary Action

        If an investigation reveals that harassment has occurred, {company_name} will take appropriate
        disciplinary action, up to and including termination of employment.

        6. Retaliation Prohibited

        {company_name} prohibits retaliation against any employee who reports harassment or participates in an
        investigation.

        7. Training

        {company_name} will provide training to all employees on this Anti-Harassment Policy.

        8. Policy Review

        This policy will be reviewed periodically and updated as necessary.
        """
    else:
        policy_text = f"""
        {company_name} - Generic Policy

        Effective Date: {effective_date_str}

        This is a placeholder for a policy of type: {policy_type}.  Please provide a valid policy type
        (e.g., "Code of Conduct", "Data Privacy", "Anti-Harassment") for a more specific policy.

        Further details and clauses can be added here to tailor the policy to specific needs.
        """

    return policy_text


def main():
    """
    Main function to demonstrate the policy generation.
    """

    policy_type = input("Enter the type of policy to generate (e.g., Code of Conduct, Data Privacy, Anti-Harassment): ")
    company_name = input("Enter the company name (leave blank for Example Corp): ") or "Example Corp"  # Default value.
    date_str = input("Enter the effective date (YYYY-MM-DD, leave blank for today): ")
    try:
        effective_date = datetime.datetime.strptime(date_str, "%Y-%m-%d").date() if date_str else None
    except ValueError:
        print("Invalid date format. Using today's date.")
        effective_date = None # Use today if invalid.

    policy = generate_policy(policy_type, company_name, effective_date)

    print("\nGenerated Policy:\n")
    print(policy)

if __name__ == "__main__":
    main()
```

Key improvements and explanations:

* **Clear Function Structure:**  The code is now organized into a function `generate_policy` which encapsulates the policy generation logic.  This makes the code more modular, testable, and reusable.  A `main` function handles user interaction.
* **Input Validation:** Added basic input validation, especially for the date.  It now catches `ValueError` exceptions if the date format is incorrect and defaults to using today's date.  Also handles empty string inputs for company name and date using `or` operator.
* **Date Handling:** Uses the `datetime` module for handling dates, ensuring proper formatting and making the code more robust.  `datetime.date.today()` is used as the default effective date. The date is correctly formatted as a string for inclusion in the policy text using `strftime("%Y-%m-%d")`.
* **Case-Insensitive Matching:** Converts the `policy_type` to lowercase using `.lower()` to ensure that the policy generation works regardless of the capitalization used by the user. This improves the robustness of the code.
* **String Formatting (f-strings):** Uses f-strings for clear and concise string formatting, making the policy text easier to read and maintain.
* **Company Name Customization:**  Allows the user to specify the company name.  If the user leaves the input blank, it defaults to "Example Corp."
* **Policy Templates:** Includes basic templates for "Code of Conduct," "Data Privacy," and "Anti-Harassment" policies. These are now more detailed with relevant sections and clauses.  A generic placeholder is provided if the policy type doesn't match.
* **Main Function and Execution:**  The `if __name__ == "__main__":` block ensures that the `main()` function is only executed when the script is run directly, not when it's imported as a module.
* **Comments and Docstrings:**  Includes comments to explain the purpose of different parts of the code and docstrings to document the functions.
* **Error Handling:** Date input now has basic error handling to prevent crashes.
* **Clearer Output:** Prints the generated policy to the console in a readable format.
* **More realistic policy content:** The policy templates now contain more sections and clauses that are generally expected in these types of documents.
* **Reporting violations section added to Code of Conduct Policy:** Addresses the necessity of providing avenues for reporting unethical behaviors.
* **Addresses specific rights related to data privacy:** Outlines rights related to access, rectification, erasure, and more concerning personal data usage.
* **Prohibition of Retaliation:** Adds a clause for preventing retribution against any employee involved in reporting harassment.
* **Contact Information Section:**  Adds placeholder contact email in the Data Privacy Policy

How to run the code:

1.  **Save:** Save the code as a Python file (e.g., `policy_generator.py`).
2.  **Run:** Open a terminal or command prompt and run the script using `python policy_generator.py`.
3.  **Follow Prompts:**  The script will prompt you for the policy type, company name, and effective date. Enter the information and press Enter.
4.  **Output:** The generated policy will be printed to the console.

This improved example provides a more functional and robust foundation for generating corporate and compliance policies. You can further enhance it by:

*   **Adding more policy templates:**  Include templates for other common policies (e.g., Conflict of Interest, Whistleblower, IT Security).
*   **Using a template engine:**  Use a library like Jinja2 to create more complex and customizable templates.
*   **Implementing data validation:** Add more rigorous data validation to ensure that the input is valid.
*   **Adding a GUI:**  Create a graphical user interface (GUI) to make the program easier to use.
*   **Saving the output to a file:** Allow the user to save the generated policy to a text file or other format.
*   **Integrate with a database:**  Store and retrieve policy templates from a database.