@exodus/analytics-validation

Why

This helps prevent that we do not accidentally collect any sensitive and/or private information, therefore all events must pass a validation layer.

Examples of what could go wrong:

• Slope Finance sending 12-word mnemonics to Sentry 💀

Development

Do I need to add a new schema?

flowchart TD
    Title(Adding a new telemetry event) --> A
    A{Does your event\nhave properties?}
    A -->|Yes| C
    A -->|No| B
    B(You're done!)
    C{Does it only require\n the 'origin' property?}
    C -->|Yes| B
    C -->|No| E[Generate a new JSON Schema: \nyarn generate analytics-validation]
    E --> D[Adjust the schema and tests]
    D --> B

JSON Schema Development

To add a new schema run

yarn generate analytics-validation

in the project root. The CLI tool will ask you for all details needed. Once the schema is created, make sure to

1. Before adding a new schema, double check if a subdirectory (essentially an event domain, e.g. dapps) already exists in ./src. If not, you will have to come up with a subdirectory name during the next steps;
2. Fill the schema with the expected properties and their types. The property names must be in the snake_case (e.g. expected_property);
3. Fix the generated unit test as it will be intentionally failing;
4. Add your own test cases to ensure the schema works properly before merging the PR and publishing a new version.

List of string formats

Schemasafe ships with a bunch of default formats, you can find the implementation of these here!

• email
• hostname
• uuid
• date
• time
• date-time
• duration
• ipv4
• ipv6
• uri
• uri-reference
• uri-template
• alpha
• alphanumeric
• base64
• hex-digits
• hex-digits-prefixed
• hex-bytes
• hex-bytes-prefixed
• json-pointer
• relative-json-pointer