/*
* server
*
* ## Real-time data The only real-time path to get tracing data is to ingest via OpenTelemetry (`POST /api/public/otel/v1/traces`) and retrieve via Observations API v2 (`GET /api/public/v2/observations`) and Metrics API v2 (`GET /api/public/v2/metrics`). Other public API write and read endpoints can delay data by about 10 minutes. Direct OpenTelemetry exporters must send the `x-langfuse-ingestion-version: 4` header; current Python and JS SDKs already do. See the [Public API docs](https://langfuse.com/docs/api-and-data-platform/features/public-api) and [real-time ingestion](https://langfuse.com/integrations/native/opentelemetry.md#real-time-ingestion). ## Authentication Authenticate with the API using [Basic Auth](https://en.wikipedia.org/wiki/Basic_access_authentication), get API keys in the project settings: - username: Langfuse Public Key - password: Langfuse Secret Key ## Exports - OpenAPI spec: https://cloud.langfuse.com/generated/api/openapi.yml - Self-hosted deployments: interactive API reference at `/api/docs` and OpenAPI spec at `/api/openapi.yaml`
*
* The version of the OpenAPI document:
*
* Generated by: https://openapi-generator.tech
*/
use crate::models;
use serde::{Deserialize, Serialize};
#[derive(Clone, Debug, PartialEq, Serialize)]
#[serde(untagged)]
pub enum ScoreV3 {
NumericScoreV3(models::ScoreV3NumericScoreV3),
BooleanScoreV3(models::ScoreV3BooleanScoreV3),
CategoricalScoreV3(models::ScoreV3CategoricalScoreV3),
TextScoreV3(models::ScoreV3TextScoreV3),
CorrectionScoreV3(models::ScoreV3CorrectionScoreV3),
/// A `dataType` this client does not know, holding the value as it came, which is what it serializes to.
Unknown(serde_json::Value),
}
impl<'de> Deserialize<'de> for ScoreV3 {
fn deserialize<D>(deserializer: D) -> Result<Self, D::Error>
where
D: serde::Deserializer<'de>,
{
let value = serde_json::Value::deserialize(deserializer)?;
Self::dispatch(value).map_err(serde::de::Error::custom)
}
}
impl ScoreV3 {
/// Decodes the variant that `dataType` selects, so an error is that variant's.
#[inline]
fn dispatch(value: serde_json::Value) -> Result<Self, String> {
use models::union_dispatch::{self as dispatch, Tag};
const UNION: &str = "ScoreV3";
const TAG: &str = "dataType";
match dispatch::tag(&value, UNION, TAG)? {
Tag::Value("NUMERIC") => {
dispatch::decode(value, UNION, "NumericScoreV3").map(Self::NumericScoreV3)
}
Tag::Value("BOOLEAN") => {
dispatch::decode(value, UNION, "BooleanScoreV3").map(Self::BooleanScoreV3)
}
Tag::Value("CATEGORICAL") => {
dispatch::decode(value, UNION, "CategoricalScoreV3").map(Self::CategoricalScoreV3)
}
Tag::Value("TEXT") => {
dispatch::decode(value, UNION, "TextScoreV3").map(Self::TextScoreV3)
}
Tag::Value("CORRECTION") => {
dispatch::decode(value, UNION, "CorrectionScoreV3").map(Self::CorrectionScoreV3)
}
Tag::Value(_) => Ok(Self::Unknown(value)),
Tag::Missing => Err(dispatch::missing_tag(UNION, TAG)),
Tag::NotObject => Err(dispatch::not_an_object(&value, UNION, TAG)),
}
}
}
impl std::fmt::Display for ScoreV3 {
fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result {
match self {
Self::NumericScoreV3(value) => match serde_json::to_string(value) {
Ok(s) => write!(f, "{}", s),
Err(_) => Err(std::fmt::Error),
},
Self::BooleanScoreV3(value) => match serde_json::to_string(value) {
Ok(s) => write!(f, "{}", s),
Err(_) => Err(std::fmt::Error),
},
Self::CategoricalScoreV3(value) => match serde_json::to_string(value) {
Ok(s) => write!(f, "{}", s),
Err(_) => Err(std::fmt::Error),
},
Self::TextScoreV3(value) => match serde_json::to_string(value) {
Ok(s) => write!(f, "{}", s),
Err(_) => Err(std::fmt::Error),
},
Self::CorrectionScoreV3(value) => match serde_json::to_string(value) {
Ok(s) => write!(f, "{}", s),
Err(_) => Err(std::fmt::Error),
},
Self::Unknown(value) => write!(f, "{}", value),
}
}
}