systemprompt-models 0.77.0

Foundation data models for systemprompt.io AI governance infrastructure. Shared DTOs, config, and domain types consumed by every layer of the MCP governance pipeline.
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//! Serde and JSON-schema glue for types carried as one string form.
//!
//! Copyright (c) systemprompt.io — Business Source License 1.1.
//! See <https://systemprompt.io> for licensing details.

macro_rules! string_serde {
    ($ty:ty, $name:literal) => {
        impl serde::Serialize for $ty {
            fn serialize<S: serde::Serializer>(&self, serializer: S) -> Result<S::Ok, S::Error> {
                serializer.collect_str(self)
            }
        }

        impl<'de> serde::Deserialize<'de> for $ty {
            fn deserialize<D: serde::Deserializer<'de>>(deserializer: D) -> Result<Self, D::Error> {
                let raw = <String as serde::Deserialize>::deserialize(deserializer)?;
                raw.parse().map_err(serde::de::Error::custom)
            }
        }

        impl schemars::JsonSchema for $ty {
            fn schema_name() -> std::borrow::Cow<'static, str> {
                $name.into()
            }

            fn json_schema(_generator: &mut schemars::SchemaGenerator) -> schemars::Schema {
                schemars::json_schema!({ "type": "string" })
            }
        }
    };
}

pub(crate) use string_serde;