langfuse-client-base 0.20.0

Auto-generated Langfuse API client from OpenAPI specification
Documentation
#![allow(deprecated)]
/*
 * 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),
        }
    }
}

impl crate::models::validation::Validate for ScoreV3 {
    fn validate_into(
        &self,
        _path: &crate::models::validation::Path<'_>,
        _errors: &mut Vec<crate::models::validation::ValidationError>,
    ) {
    }
}