AI & Automation

DeployDrop

Developers often need to quickly package static assets, verify file integrity, generate launch announcements, and test local builds without configuring complex CI/CD pipelines. DeployDrop solves this by inspecting site directories, computing cryptographic manifests, outputting social launch copy, and serving instant local previews from a single CLI. ## Key features - **Integrity Inspection & Scaffolding**: Traverses directories to calculate file sizes, SHA-256 checksums, and MIME types, automatically creating a starter `index.html` demo if the directory is missing. - **Multi-Target URL & Receipt Generation**: Simulates deployments across IPFS, AWS S3, and Edge targets, outputting an ASCII signature matrix and writing a local `deploydrop-receipt.json` manifest. - **Automated Social Launch Kits**: Generates formatted launch announcements for X/Twitter, LinkedIn, and Telegram with custom hashtags. - **Embedded Preview Server**: Starts an in-memory background HTTP server via Python's `socketserver` to preview assets locally. ## Example ```bash python deploydrop.py package --dir ./build python deploydrop.py deploy --name MyDrop --dir ./build --target ipfs --marketing --serve --port 8080 ``` ## Limitations DeployDrop generates simulated endpoints (mock IPFS CIDs and S3 links) and writes a local JSON receipt rather than actually uploading files over the network to real cloud or decentralized storage providers.

python deploydrop.py --help