windmill-labs/windmill · error

Missing `required` field on schema

Error message

Missing `required` field on schema

What it means

Raised by from_schema in windmill-common when the supplied JSON Schema has no `required` key. Windmill's restricted schema parser (draft 2020-12 only) demands an explicit required array and does not infer optionality, so a schema omitting it is rejected at parse time. This is a parser-capability guard on the schema input, not a data validation failure.

Source

Thrown at backend/windmill-common/src/schema.rs:526

        Ok(())
    }

    pub fn from_schema(schema: &str) -> Result<Self, Error> {
        let schema: Value = serde_json::from_str(schema)?;

        if let Some(draft_version) = schema.get("$schema") {
            match draft_version.as_str() {
                Some("https://json-schema.org/draft/2020-12/schema") => (),
                _ => return Err(anyhow!("Supplied schema draft version is unsuported").into()),
            }
        } else {
            return Err(anyhow!("No draft version supplied").into());
        }

        let required: Vec<String> = schema
            .get("required")
            .ok_or(anyhow!("Missing `required` field on schema"))?
            .as_array()
            .ok_or(anyhow!("`required` field should be an array of strings"))?
            .into_iter()
            .map(|v| {
                v.as_str()
                    .map(|s| s.to_string())
                    .ok_or(anyhow!("required field key is not a string"))
            })
            .collect::<Result<Vec<String>, anyhow::Error>>()?;

        let properties = schema
            .get("properties")
            .ok_or(anyhow!("Missing `properties` field on schema"))?
            .as_object()
            .ok_or(anyhow!("`properties` field should be an object"))?;

        let mut rules = vec![];

View on GitHub (pinned to e474e8803c)

Solutions

  1. Add an explicit top-level "required": [] (or list the required property names).
  2. Update the schema generator to always emit `required`, even when empty.

Example fix

// before
{"$schema": "https://json-schema.org/draft/2020-12/schema", "properties": {"a": {"type": "string"}}}
// after
{"$schema": "https://json-schema.org/draft/2020-12/schema", "properties": {"a": {"type": "string"}}, "required": []}
Defensive patterns

Strategy: validation

Validate before calling

fn require_required_field(schema: &serde_json::Value) -> Result<(), String> {
    if schema.get("required").is_none() {
        Err("add top-level `required` array (use [] if nothing is mandatory)".into())
    } else { Ok(()) }
}

Type guard

fn has_required_field(schema: &serde_json::Value) -> bool {
    schema.get("required").is_some()
}

Try / catch

match Schema::from_schema(&schema_str) {
    Ok(s) => s,
    Err(e) if e.to_string().contains("Missing `required` field") => {
        eprintln!("add a top-level `required` array, even if empty");
        return Err(e);
    }
    Err(e) => return Err(e),
}

Prevention

When it happens

Trigger: Calling Schema::from_schema with a schema that has properties but no top-level `required` key, e.g. {"$schema":...,"type":"object","properties":{...}} with no `required`.

Common situations: Schemas where nothing is mandatory (authors omit `required` instead of using an empty array), schemas generated from TypeScript types with no required members, and schemas trimmed down by hand.

Related errors


AI-assisted analysis of windmill-labs/windmill@e474e8803c (2026-09-03). Data as JSON: /api/errors/93b1938612d7b9fd. Report an issue: GitHub.