This project integrates Google Tag Manager to enable analytics and marketing tag management.
GTM Container ID: gtm-kqqwvx2-zgi2z
-
Where to add:
- Insert the GTM snippet in your HTTP API’s frontend entry point (e.g., in the HTML template, or the main frontend file if your API serves web content).
- For backend-only APIs, GTM is typically not required unless you serve API documentation or admin dashboards with a web interface.
-
Security Note:
- Never expose API secrets, user data, or sensitive backend logic through GTM tags.
- Only use GTM for analytics and marketing tags that do not compromise security.
- Regularly audit your GTM account to ensure only approved tags are published.
-
GTM Management:
- Manage and update tags in your Google Tag Manager Account.
- Most tag changes will apply automatically without code redeploys.
If you require fixes for duplicate code detection, error resolution, payment features, or want to hide vulnerable code, please specify the exact issue so targeted help can be provided.
Organization Copilot Customization Instructions
Welcome to the Google Cloud Python - Nodoubtz repository!
This project is designed to help you interact with Google Cloud services using Python, tailored for the needs of Dimvy Clothing Brand and similar businesses.
This repository provides Python scripts, utilities, and modules to streamline usage of Google Cloud Platform (GCP) resources. The codebase is organized to be modular, secure, and easy to configure for various GCP services such as Storage, Compute, Pub/Sub, BigQuery, and more.
- Easy Configuration: Set up your GCP credentials and project settings quickly.
- Secure Operations: Follows best practices to handle secrets and sensitive data.
- Sample Integrations: Includes ready-to-use code for common Google Cloud operations.
- Error Handling: Robust error checking and logging.
- Extensible: Easily add your own modules for additional GCP services.
google-cloud-python-nodoubtz-/
│
├── src/ # Main source code
├── config/ # Configuration files and secrets (DO NOT COMMIT secrets)
├── tests/ # Unit and integration tests
├── requirements.txt # Python dependencies
├── README.md # This file
└── ... # Additional scripts and docs
git clone https://github.com/Dimvy-Clothing-brand/google-cloud-python-nodoubtz-.git
cd google-cloud-python-nodoubtz-
It's recommended to use a virtual environment:
python3 -m venv venv
source venv/bin/activate
pip install -r requirements.txt
- Create a service account in your Google Cloud Console.
- Download the JSON key and save it securely (e.g., as
config/service-account.json
). - Set the environment variable:
export GOOGLE_APPLICATION_CREDENTIALS="config/service-account.json"
Check the src/
directory for available scripts and modules. Example usage:
from src.storage import upload_to_gcs
upload_to_gcs(bucket_name="your-bucket", file_path="path/to/file.txt")
Run all tests with:
pytest tests/
- Never commit secrets (such as service account keys) to the repository.
- Use environment variables for sensitive configurations.
- Review code for vulnerabilities before deploying.
- Run
bandit
or similar tools for security checks.
PRs are welcome! Please:
- Follow the PEP 8 style guide.
- Write meaningful commit messages.
- Include tests for new features.
This project is licensed under the MIT License. See LICENSE for details.
For questions, support, or paid project inquiries, please open an issue or contact the maintainer.
Dimvy Clothing Brand | Secure, scalable cloud solutions for modern businesses.