servers/http/

event.rs

// Copyright 2023 Greptime Team
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
//     http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.

use std::collections::BTreeMap;
use std::fmt::Display;
use std::io::BufRead;
use std::str::FromStr;
use std::sync::Arc;
use std::time::Instant;

use async_trait::async_trait;
use axum::body::Bytes;
use axum::extract::{FromRequest, Multipart, Path, Query, Request, State};
use axum::http::header::CONTENT_TYPE;
use axum::http::{HeaderMap, StatusCode};
use axum::response::{IntoResponse, Response};
use axum::{Extension, Json};
use axum_extra::TypedHeader;
use common_catalog::consts::default_engine;
use common_error::ext::{BoxedError, ErrorExt};
use common_query::{Output, OutputData};
use common_telemetry::{error, warn};
use datatypes::value::column_data_to_json;
use headers::ContentType;
use lazy_static::lazy_static;
use mime_guess::mime;
use operator::expr_helper::{create_table_expr_by_column_schemas, expr_to_create};
use pipeline::util::to_pipeline_version;
use pipeline::{ContextReq, GreptimePipelineParams, PipelineContext, PipelineDefinition};
use serde::{Deserialize, Serialize};
use serde_json::{Deserializer, Map, Value as JsonValue, json};
use session::context::{Channel, QueryContext, QueryContextRef};
use simd_json::Buffers;
use snafu::{OptionExt, ResultExt, ensure};
use store_api::mito_engine_options::APPEND_MODE_KEY;
use strum::{EnumIter, IntoEnumIterator};
use table::table_reference::TableReference;
use vrl::value::{KeyString, Value as VrlValue};

use crate::error::{
    CatalogSnafu, Error, InvalidParameterSnafu, OtherSnafu, ParseJsonSnafu, PipelineSnafu, Result,
    status_code_to_http_status,
};
use crate::http::HttpResponse;
use crate::http::header::constants::GREPTIME_PIPELINE_PARAMS_HEADER;
use crate::http::header::{
    CONTENT_TYPE_NDJSON_STR, CONTENT_TYPE_NDJSON_SUBTYPE_STR, CONTENT_TYPE_PROTOBUF_STR,
};
use crate::http::result::greptime_manage_resp::{GreptimedbManageResponse, SqlOutput};
use crate::http::result::greptime_result_v1::GreptimedbV1Response;
use crate::interceptor::{LogIngestInterceptor, LogIngestInterceptorRef};
use crate::metrics::{
    METRIC_FAILURE_VALUE, METRIC_HTTP_LOGS_INGESTION_COUNTER, METRIC_HTTP_LOGS_INGESTION_ELAPSED,
    METRIC_SUCCESS_VALUE,
};
use crate::pipeline::run_pipeline;
use crate::query_handler::PipelineHandlerRef;

const GREPTIME_INTERNAL_PIPELINE_NAME_PREFIX: &str = "greptime_";
const GREPTIME_PIPELINE_SKIP_ERROR_KEY: &str = "skip_error";

const CREATE_TABLE_SQL_SUFFIX_EXISTS: &str =
    "the pipeline has dispatcher or table_suffix, the table name may not be fixed";
const CREATE_TABLE_SQL_TABLE_EXISTS: &str =
    "table already exists, the CREATE TABLE SQL may be different";

lazy_static! {
    pub static ref JSON_CONTENT_TYPE: ContentType = ContentType::json();
    pub static ref TEXT_CONTENT_TYPE: ContentType = ContentType::text();
    pub static ref TEXT_UTF8_CONTENT_TYPE: ContentType = ContentType::text_utf8();
    pub static ref PB_CONTENT_TYPE: ContentType =
        ContentType::from_str(CONTENT_TYPE_PROTOBUF_STR).unwrap();
    pub static ref NDJSON_CONTENT_TYPE: ContentType =
        ContentType::from_str(CONTENT_TYPE_NDJSON_STR).unwrap();
}

/// LogIngesterQueryParams is used for query params of log ingester API.
#[derive(Debug, Default, Serialize, Deserialize)]
pub struct LogIngesterQueryParams {
    /// The database where log data will be written to.
    pub db: Option<String>,
    /// The table where log data will be written to.
    pub table: Option<String>,
    /// The pipeline that will be used for log ingestion.
    pub pipeline_name: Option<String>,
    /// The version of the pipeline to be used for log ingestion.
    pub version: Option<String>,
    /// Whether to ignore errors during log ingestion.
    pub ignore_errors: Option<bool>,
    /// The source of the log data.
    pub source: Option<String>,
    /// The JSON field name of the log message. If not provided, it will take the whole log as the message.
    /// The field must be at the top level of the JSON structure.
    pub msg_field: Option<String>,
    /// Specify a custom time index from the input data rather than server's arrival time.
    /// Valid formats:
    /// - <field_name>;epoch;<resolution>
    /// - <field_name>;datestr;<format>
    ///
    /// If an error occurs while parsing the config, the error will be returned in the response.
    /// If an error occurs while ingesting the data, the `ignore_errors` will be used to determine if the error should be ignored.
    /// If so, use the current server's timestamp as the event time.
    pub custom_time_index: Option<String>,
    /// Whether to skip errors during log ingestion.
    /// If set to true, the ingestion will continue even if there are errors in the data.
    /// If set to false, the ingestion will stop at the first error.
    /// This is different from `ignore_errors`, which is used to ignore errors during the pipeline execution.
    /// The priority of query params is lower than that headers of x-greptime-pipeline-params.
    pub skip_error: Option<bool>,
}

/// LogIngestRequest is the internal request for log ingestion. The raw log input can be transformed into multiple LogIngestRequests.
/// Multiple LogIngestRequests will be ingested into the same database with the same pipeline.
#[derive(Debug, PartialEq)]
pub(crate) struct PipelineIngestRequest {
    /// The table where the log data will be written to.
    pub table: String,
    /// The log data to be ingested.
    pub values: Vec<VrlValue>,
}

pub struct PipelineContent(String);

impl<S> FromRequest<S> for PipelineContent
where
    S: Send + Sync,
{
    type Rejection = Response;

    async fn from_request(req: Request, state: &S) -> Result<Self, Self::Rejection> {
        let content_type_header = req.headers().get(CONTENT_TYPE);
        let content_type = content_type_header.and_then(|value| value.to_str().ok());
        if let Some(content_type) = content_type {
            if content_type.ends_with("yaml") {
                let payload = String::from_request(req, state)
                    .await
                    .map_err(IntoResponse::into_response)?;
                return Ok(Self(payload));
            }

            if content_type.starts_with("multipart/form-data") {
                let mut payload: Multipart = Multipart::from_request(req, state)
                    .await
                    .map_err(IntoResponse::into_response)?;
                let file = payload
                    .next_field()
                    .await
                    .map_err(IntoResponse::into_response)?;
                let payload = file
                    .ok_or(StatusCode::UNSUPPORTED_MEDIA_TYPE.into_response())?
                    .text()
                    .await
                    .map_err(IntoResponse::into_response)?;
                return Ok(Self(payload));
            }
        }

        Err(StatusCode::UNSUPPORTED_MEDIA_TYPE.into_response())
    }
}

#[axum_macros::debug_handler]
pub async fn query_pipeline(
    State(state): State<LogState>,
    Extension(mut query_ctx): Extension<QueryContext>,
    Query(query_params): Query<LogIngesterQueryParams>,
    Path(pipeline_name): Path<String>,
) -> Result<GreptimedbManageResponse> {
    let start = Instant::now();
    let handler = state.log_handler;
    ensure!(
        !pipeline_name.is_empty(),
        InvalidParameterSnafu {
            reason: "pipeline_name is required in path",
        }
    );

    let version = to_pipeline_version(query_params.version.as_deref()).context(PipelineSnafu)?;

    query_ctx.set_channel(Channel::Log);
    let query_ctx = Arc::new(query_ctx);

    let (pipeline, pipeline_version) = handler
        .get_pipeline_str(&pipeline_name, version, query_ctx)
        .await?;

    Ok(GreptimedbManageResponse::from_pipeline(
        pipeline_name,
        query_params
            .version
            .unwrap_or(pipeline_version.0.to_timezone_aware_string(None)),
        start.elapsed().as_millis() as u64,
        Some(pipeline),
    ))
}

/// Generate DDL from pipeline definition.
#[axum_macros::debug_handler]
pub async fn query_pipeline_ddl(
    State(state): State<LogState>,
    Extension(mut query_ctx): Extension<QueryContext>,
    Query(query_params): Query<LogIngesterQueryParams>,
    Path(pipeline_name): Path<String>,
) -> Result<GreptimedbManageResponse> {
    let start = Instant::now();
    let handler = state.log_handler;
    ensure!(
        !pipeline_name.is_empty(),
        InvalidParameterSnafu {
            reason: "pipeline_name is required in path",
        }
    );
    ensure!(
        !pipeline_name.starts_with(GREPTIME_INTERNAL_PIPELINE_NAME_PREFIX),
        InvalidParameterSnafu {
            reason: "built-in pipelines don't have fixed table schema",
        }
    );
    let table_name = query_params.table.context(InvalidParameterSnafu {
        reason: "table name is required",
    })?;

    let version = to_pipeline_version(query_params.version.as_deref()).context(PipelineSnafu)?;

    query_ctx.set_channel(Channel::Log);
    let query_ctx = Arc::new(query_ctx);

    let pipeline = handler
        .get_pipeline(&pipeline_name, version, query_ctx.clone())
        .await?;

    let schemas_def = pipeline.schemas().context(InvalidParameterSnafu {
        reason: "auto transform doesn't have fixed table schema",
    })?;

    let schema = query_ctx.current_schema();
    let table_name_ref = TableReference {
        catalog: query_ctx.current_catalog(),
        schema: &schema,
        table: &table_name,
    };

    let mut create_table_expr =
        create_table_expr_by_column_schemas(&table_name_ref, schemas_def, default_engine(), None)
            .map_err(BoxedError::new)
            .context(OtherSnafu)?;

    // manually set the append_mode to true
    create_table_expr
        .table_options
        .insert(APPEND_MODE_KEY.to_string(), "true".to_string());

    let expr = expr_to_create(&create_table_expr, None)
        .map_err(BoxedError::new)
        .context(OtherSnafu)?;

    let message = if handler
        .get_table(&table_name, &query_ctx)
        .await
        .context(CatalogSnafu)?
        .is_some()
    {
        Some(CREATE_TABLE_SQL_TABLE_EXISTS.to_string())
    } else if pipeline.is_variant_table_name() {
        Some(CREATE_TABLE_SQL_SUFFIX_EXISTS.to_string())
    } else {
        None
    };

    let sql = SqlOutput {
        sql: format!("{:#}", expr),
        message,
    };

    Ok(GreptimedbManageResponse::from_sql(
        sql,
        start.elapsed().as_millis() as u64,
    ))
}

#[axum_macros::debug_handler]
pub async fn add_pipeline(
    State(state): State<LogState>,
    Path(pipeline_name): Path<String>,
    Extension(mut query_ctx): Extension<QueryContext>,
    PipelineContent(payload): PipelineContent,
) -> Result<GreptimedbManageResponse> {
    let start = Instant::now();
    let handler = state.log_handler;
    ensure!(
        !pipeline_name.is_empty(),
        InvalidParameterSnafu {
            reason: "pipeline_name is required in path",
        }
    );
    ensure!(
        !pipeline_name.starts_with(GREPTIME_INTERNAL_PIPELINE_NAME_PREFIX),
        InvalidParameterSnafu {
            reason: "pipeline_name cannot start with greptime_",
        }
    );
    ensure!(
        !payload.is_empty(),
        InvalidParameterSnafu {
            reason: "pipeline is required in body",
        }
    );

    query_ctx.set_channel(Channel::Log);
    let query_ctx = Arc::new(query_ctx);

    let content_type = "yaml";
    let result = handler
        .insert_pipeline(&pipeline_name, content_type, &payload, query_ctx)
        .await;

    result
        .map(|pipeline| {
            GreptimedbManageResponse::from_pipeline(
                pipeline_name,
                pipeline.0.to_timezone_aware_string(None),
                start.elapsed().as_millis() as u64,
                None,
            )
        })
        .map_err(|e| {
            error!(e; "failed to insert pipeline");
            e
        })
}

#[axum_macros::debug_handler]
pub async fn delete_pipeline(
    State(state): State<LogState>,
    Extension(mut query_ctx): Extension<QueryContext>,
    Query(query_params): Query<LogIngesterQueryParams>,
    Path(pipeline_name): Path<String>,
) -> Result<GreptimedbManageResponse> {
    let start = Instant::now();
    let handler = state.log_handler;
    ensure!(
        !pipeline_name.is_empty(),
        InvalidParameterSnafu {
            reason: "pipeline_name is required",
        }
    );

    let version_str = query_params.version.context(InvalidParameterSnafu {
        reason: "version is required",
    })?;

    let version = to_pipeline_version(Some(&version_str)).context(PipelineSnafu)?;

    query_ctx.set_channel(Channel::Log);
    let query_ctx = Arc::new(query_ctx);

    handler
        .delete_pipeline(&pipeline_name, version, query_ctx)
        .await
        .map(|v| {
            if v.is_some() {
                GreptimedbManageResponse::from_pipeline(
                    pipeline_name,
                    version_str,
                    start.elapsed().as_millis() as u64,
                    None,
                )
            } else {
                GreptimedbManageResponse::from_pipelines(vec![], start.elapsed().as_millis() as u64)
            }
        })
        .map_err(|e| {
            error!(e; "failed to delete pipeline");
            e
        })
}

/// Transform NDJSON array into a single array
/// always return an array
fn transform_ndjson_array_factory(
    values: impl IntoIterator<Item = Result<VrlValue, serde_json::Error>>,
    ignore_error: bool,
) -> Result<Vec<VrlValue>> {
    values
        .into_iter()
        .try_fold(Vec::with_capacity(100), |mut acc_array, item| match item {
            Ok(item_value) => {
                match item_value {
                    VrlValue::Array(item_array) => {
                        acc_array.extend(item_array);
                    }
                    VrlValue::Object(_) => {
                        acc_array.push(item_value);
                    }
                    _ => {
                        if !ignore_error {
                            warn!("invalid item in array: {:?}", item_value);
                            return InvalidParameterSnafu {
                                reason: format!("invalid item: {} in array", item_value),
                            }
                            .fail();
                        }
                    }
                }
                Ok(acc_array)
            }
            Err(_) if !ignore_error => item.map(|x| vec![x]).context(ParseJsonSnafu),
            Err(_) => {
                warn!("invalid item in array: {:?}", item);
                Ok(acc_array)
            }
        })
}

/// Dryrun pipeline with given data
async fn dryrun_pipeline_inner(
    value: Vec<VrlValue>,
    pipeline: Arc<pipeline::Pipeline>,
    pipeline_handler: PipelineHandlerRef,
    query_ctx: &QueryContextRef,
) -> Result<Response> {
    let params = GreptimePipelineParams::default();

    let pipeline_def = PipelineDefinition::Resolved(pipeline);
    let pipeline_ctx = PipelineContext::new(&pipeline_def, &params, query_ctx.channel());
    let results = run_pipeline(
        &pipeline_handler,
        &pipeline_ctx,
        PipelineIngestRequest {
            table: "dry_run".to_owned(),
            values: value,
        },
        query_ctx,
        true,
    )
    .await?;

    let colume_type_key = "colume_type";
    let data_type_key = "data_type";
    let name_key = "name";

    let results = results
        .all_req()
        .filter_map(|row| {
            if let Some(rows) = row.rows {
                let table_name = row.table_name;
                let schema = rows.schema;

                let schema = schema
                    .iter()
                    .map(|cs| {
                        let mut map = Map::new();
                        map.insert(
                            name_key.to_string(),
                            JsonValue::String(cs.column_name.clone()),
                        );
                        map.insert(
                            data_type_key.to_string(),
                            JsonValue::String(cs.datatype().as_str_name().to_string()),
                        );
                        map.insert(
                            colume_type_key.to_string(),
                            JsonValue::String(cs.semantic_type().as_str_name().to_string()),
                        );
                        map.insert(
                            "fulltext".to_string(),
                            JsonValue::Bool(
                                cs.options
                                    .clone()
                                    .is_some_and(|x| x.options.contains_key("fulltext")),
                            ),
                        );
                        JsonValue::Object(map)
                    })
                    .collect::<Vec<_>>();

                let rows = rows
                    .rows
                    .into_iter()
                    .map(|row| {
                        row.values
                            .into_iter()
                            .enumerate()
                            .map(|(idx, v)| {
                                v.value_data
                                    .map(|d| {
                                        let mut map = Map::new();
                                        map.insert("value".to_string(), column_data_to_json(d));
                                        map.insert(
                                            "key".to_string(),
                                            schema[idx][name_key].clone(),
                                        );
                                        map.insert(
                                            "semantic_type".to_string(),
                                            schema[idx][colume_type_key].clone(),
                                        );
                                        map.insert(
                                            "data_type".to_string(),
                                            schema[idx][data_type_key].clone(),
                                        );
                                        JsonValue::Object(map)
                                    })
                                    .unwrap_or(JsonValue::Null)
                            })
                            .collect()
                    })
                    .collect();

                let mut result = Map::new();
                result.insert("schema".to_string(), JsonValue::Array(schema));
                result.insert("rows".to_string(), JsonValue::Array(rows));
                result.insert("table_name".to_string(), JsonValue::String(table_name));
                let result = JsonValue::Object(result);
                Some(result)
            } else {
                None
            }
        })
        .collect();
    Ok(Json(JsonValue::Array(results)).into_response())
}

/// Dryrun pipeline with given data
/// pipeline_name and pipeline_version to specify pipeline stored in db
/// pipeline to specify pipeline raw content
/// data to specify data
/// data maght be list of string or list of object
#[derive(Debug, Default, Serialize, Deserialize)]
pub struct PipelineDryrunParams {
    pub pipeline_name: Option<String>,
    pub pipeline_version: Option<String>,
    pub pipeline: Option<String>,
    pub data_type: Option<String>,
    pub data: String,
}

/// Check if the payload is valid json
/// Check if the payload contains pipeline or pipeline_name and data
/// Return Some if valid, None if invalid
fn check_pipeline_dryrun_params_valid(payload: &Bytes) -> Option<PipelineDryrunParams> {
    match serde_json::from_slice::<PipelineDryrunParams>(payload) {
        // payload with pipeline or pipeline_name and data is array
        Ok(params) if params.pipeline.is_some() || params.pipeline_name.is_some() => Some(params),
        // because of the pipeline_name or pipeline is required
        Ok(_) => None,
        // invalid json
        Err(_) => None,
    }
}

/// Check if the pipeline_name exists
fn check_pipeline_name_exists(pipeline_name: Option<String>) -> Result<String> {
    pipeline_name.context(InvalidParameterSnafu {
        reason: "pipeline_name is required",
    })
}

/// Check if the data length less than 10
fn check_data_valid(data_len: usize) -> Result<()> {
    ensure!(
        data_len <= 10,
        InvalidParameterSnafu {
            reason: "data is required",
        }
    );
    Ok(())
}

fn add_step_info_for_pipeline_dryrun_error(step_msg: &str, e: Error) -> Response {
    let body = Json(json!({
        "error": format!("{}: {}", step_msg,e.output_msg()),
    }));

    (status_code_to_http_status(&e.status_code()), body).into_response()
}

/// Parse the data with given content type
/// If the content type is invalid, return error
/// content type is one of application/json, text/plain, application/x-ndjson
fn parse_dryrun_data(data_type: String, data: String) -> Result<Vec<VrlValue>> {
    if let Ok(content_type) = ContentType::from_str(&data_type) {
        extract_pipeline_value_by_content_type(content_type, Bytes::from(data), false)
    } else {
        InvalidParameterSnafu {
            reason: format!(
                "invalid content type: {}, expected: one of {}",
                data_type,
                EventPayloadResolver::support_content_type_list().join(", ")
            ),
        }
        .fail()
    }
}

#[axum_macros::debug_handler]
pub async fn pipeline_dryrun(
    State(log_state): State<LogState>,
    Query(query_params): Query<LogIngesterQueryParams>,
    Extension(mut query_ctx): Extension<QueryContext>,
    TypedHeader(content_type): TypedHeader<ContentType>,
    payload: Bytes,
) -> Result<Response> {
    let handler = log_state.log_handler;

    query_ctx.set_channel(Channel::Log);
    let query_ctx = Arc::new(query_ctx);

    match check_pipeline_dryrun_params_valid(&payload) {
        Some(params) => {
            let data = parse_dryrun_data(
                params.data_type.unwrap_or("application/json".to_string()),
                params.data,
            )?;

            check_data_valid(data.len())?;

            match params.pipeline {
                None => {
                    let version = to_pipeline_version(params.pipeline_version.as_deref())
                        .context(PipelineSnafu)?;
                    let pipeline_name = check_pipeline_name_exists(params.pipeline_name)?;
                    let pipeline = handler
                        .get_pipeline(&pipeline_name, version, query_ctx.clone())
                        .await?;
                    dryrun_pipeline_inner(data, pipeline, handler, &query_ctx).await
                }
                Some(pipeline) => {
                    let pipeline = handler.build_pipeline(&pipeline);
                    match pipeline {
                        Ok(pipeline) => {
                            match dryrun_pipeline_inner(
                                data,
                                Arc::new(pipeline),
                                handler,
                                &query_ctx,
                            )
                            .await
                            {
                                Ok(response) => Ok(response),
                                Err(e) => Ok(add_step_info_for_pipeline_dryrun_error(
                                    "Failed to exec pipeline",
                                    e,
                                )),
                            }
                        }
                        Err(e) => Ok(add_step_info_for_pipeline_dryrun_error(
                            "Failed to build pipeline",
                            e,
                        )),
                    }
                }
            }
        }
        None => {
            // This path is for back compatibility with the previous dry run code
            // where the payload is just data (JSON or plain text) and the pipeline name
            // is specified using query param.
            let pipeline_name = check_pipeline_name_exists(query_params.pipeline_name)?;

            let version =
                to_pipeline_version(query_params.version.as_deref()).context(PipelineSnafu)?;

            let ignore_errors = query_params.ignore_errors.unwrap_or(false);

            let value =
                extract_pipeline_value_by_content_type(content_type, payload, ignore_errors)?;

            check_data_valid(value.len())?;

            let pipeline = handler
                .get_pipeline(&pipeline_name, version, query_ctx.clone())
                .await?;

            dryrun_pipeline_inner(value, pipeline, handler, &query_ctx).await
        }
    }
}

pub(crate) fn extract_pipeline_params_map_from_headers(
    headers: &HeaderMap,
) -> ahash::HashMap<String, String> {
    GreptimePipelineParams::parse_header_str_to_map(
        headers
            .get(GREPTIME_PIPELINE_PARAMS_HEADER)
            .and_then(|v| v.to_str().ok()),
    )
}

#[axum_macros::debug_handler]
pub async fn log_ingester(
    State(log_state): State<LogState>,
    Query(query_params): Query<LogIngesterQueryParams>,
    Extension(mut query_ctx): Extension<QueryContext>,
    TypedHeader(content_type): TypedHeader<ContentType>,
    headers: HeaderMap,
    payload: Bytes,
) -> Result<HttpResponse> {
    // validate source and payload
    let source = query_params.source.as_deref();
    let response = match &log_state.log_validator {
        Some(validator) => validator.validate(source, &payload).await,
        None => None,
    };
    if let Some(response) = response {
        return response;
    }

    let handler = log_state.log_handler;

    let table_name = query_params.table.context(InvalidParameterSnafu {
        reason: "table is required",
    })?;

    let ignore_errors = query_params.ignore_errors.unwrap_or(false);

    let pipeline_name = query_params.pipeline_name.context(InvalidParameterSnafu {
        reason: "pipeline_name is required",
    })?;
    let skip_error = query_params.skip_error.unwrap_or(false);
    let version = to_pipeline_version(query_params.version.as_deref()).context(PipelineSnafu)?;
    let pipeline = PipelineDefinition::from_name(
        &pipeline_name,
        version,
        query_params.custom_time_index.map(|s| (s, ignore_errors)),
    )
    .context(PipelineSnafu)?;

    let value = extract_pipeline_value_by_content_type(content_type, payload, ignore_errors)?;

    query_ctx.set_channel(Channel::Log);
    let query_ctx = Arc::new(query_ctx);

    let value = log_state
        .ingest_interceptor
        .as_ref()
        .pre_pipeline(value, query_ctx.clone())?;

    let mut pipeline_params_map = extract_pipeline_params_map_from_headers(&headers);
    if !pipeline_params_map.contains_key(GREPTIME_PIPELINE_SKIP_ERROR_KEY) && skip_error {
        pipeline_params_map.insert(GREPTIME_PIPELINE_SKIP_ERROR_KEY.to_string(), "true".into());
    }
    let pipeline_params = GreptimePipelineParams::from_map(pipeline_params_map);

    ingest_logs_inner(
        handler,
        pipeline,
        vec![PipelineIngestRequest {
            table: table_name,
            values: value,
        }],
        query_ctx,
        pipeline_params,
    )
    .await
}

#[derive(Debug, EnumIter)]
enum EventPayloadResolverInner {
    Json,
    Ndjson,
    Text,
}

impl Display for EventPayloadResolverInner {
    fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result {
        match self {
            EventPayloadResolverInner::Json => write!(f, "{}", *JSON_CONTENT_TYPE),
            EventPayloadResolverInner::Ndjson => write!(f, "{}", *NDJSON_CONTENT_TYPE),
            EventPayloadResolverInner::Text => write!(f, "{}", *TEXT_CONTENT_TYPE),
        }
    }
}

impl TryFrom<&ContentType> for EventPayloadResolverInner {
    type Error = Error;

    fn try_from(content_type: &ContentType) -> Result<Self> {
        let mime: mime_guess::Mime = content_type.clone().into();
        match (mime.type_(), mime.subtype()) {
            (mime::APPLICATION, mime::JSON) => Ok(EventPayloadResolverInner::Json),
            (mime::APPLICATION, subtype) if subtype == CONTENT_TYPE_NDJSON_SUBTYPE_STR => {
                Ok(EventPayloadResolverInner::Ndjson)
            }
            (mime::TEXT, mime::PLAIN) => Ok(EventPayloadResolverInner::Text),
            _ => InvalidParameterSnafu {
                reason: format!(
                    "invalid content type: {}, expected: one of {}",
                    content_type,
                    EventPayloadResolver::support_content_type_list().join(", ")
                ),
            }
            .fail(),
        }
    }
}

#[derive(Debug)]
struct EventPayloadResolver<'a> {
    inner: EventPayloadResolverInner,
    /// The content type of the payload.
    /// keep it for logging original content type
    #[allow(dead_code)]
    content_type: &'a ContentType,
}

impl EventPayloadResolver<'_> {
    pub(super) fn support_content_type_list() -> Vec<String> {
        EventPayloadResolverInner::iter()
            .map(|x| x.to_string())
            .collect()
    }
}

impl<'a> TryFrom<&'a ContentType> for EventPayloadResolver<'a> {
    type Error = Error;

    fn try_from(content_type: &'a ContentType) -> Result<Self> {
        let inner = EventPayloadResolverInner::try_from(content_type)?;
        Ok(EventPayloadResolver {
            inner,
            content_type,
        })
    }
}

impl EventPayloadResolver<'_> {
    fn parse_payload(&self, payload: Bytes, ignore_errors: bool) -> Result<Vec<VrlValue>> {
        match self.inner {
            EventPayloadResolverInner::Json => transform_ndjson_array_factory(
                Deserializer::from_slice(&payload).into_iter(),
                ignore_errors,
            ),
            EventPayloadResolverInner::Ndjson => {
                let mut result = Vec::with_capacity(1000);
                let mut buffer = Buffers::new(1000);
                for (index, line) in payload.lines().enumerate() {
                    let mut line = match line {
                        Ok(line) if !line.is_empty() => line,
                        Ok(_) => continue, // Skip empty lines
                        Err(_) if ignore_errors => continue,
                        Err(e) => {
                            warn!(e; "invalid string at index: {}", index);
                            return InvalidParameterSnafu {
                                reason: format!("invalid line at index: {}", index),
                            }
                            .fail();
                        }
                    };

                    // simd_json, according to description, only de-escapes string at character level,
                    // like any other json parser. So it should be safe here.
                    if let Ok(v) = simd_json::serde::from_slice_with_buffers(
                        unsafe { line.as_bytes_mut() },
                        &mut buffer,
                    ) {
                        result.push(v);
                    } else if !ignore_errors {
                        warn!("invalid JSON at index: {}, content: {:?}", index, line);
                        return InvalidParameterSnafu {
                            reason: format!("invalid JSON at index: {}", index),
                        }
                        .fail();
                    }
                }
                Ok(result)
            }
            EventPayloadResolverInner::Text => {
                let result = payload
                    .lines()
                    .filter_map(|line| line.ok().filter(|line| !line.is_empty()))
                    .map(|line| {
                        let mut map = BTreeMap::new();
                        map.insert(
                            KeyString::from("message"),
                            VrlValue::Bytes(Bytes::from(line)),
                        );
                        VrlValue::Object(map)
                    })
                    .collect::<Vec<_>>();
                Ok(result)
            }
        }
    }
}

fn extract_pipeline_value_by_content_type(
    content_type: ContentType,
    payload: Bytes,
    ignore_errors: bool,
) -> Result<Vec<VrlValue>> {
    EventPayloadResolver::try_from(&content_type).and_then(|resolver| {
        resolver
            .parse_payload(payload, ignore_errors)
            .map_err(|e| match &e {
                Error::InvalidParameter { reason, .. } if content_type == *JSON_CONTENT_TYPE => {
                    if reason.contains("invalid item:") {
                        InvalidParameterSnafu {
                            reason: "json format error, please check the date is valid JSON.",
                        }
                        .build()
                    } else {
                        e
                    }
                }
                _ => e,
            })
    })
}

pub(crate) async fn ingest_logs_inner(
    handler: PipelineHandlerRef,
    pipeline: PipelineDefinition,
    log_ingest_requests: Vec<PipelineIngestRequest>,
    query_ctx: QueryContextRef,
    pipeline_params: GreptimePipelineParams,
) -> Result<HttpResponse> {
    let db = query_ctx.get_db_string();
    let exec_timer = std::time::Instant::now();

    let mut req = ContextReq::default();

    let pipeline_ctx = PipelineContext::new(&pipeline, &pipeline_params, query_ctx.channel());
    for pipeline_req in log_ingest_requests {
        let requests =
            run_pipeline(&handler, &pipeline_ctx, pipeline_req, &query_ctx, true).await?;

        req.merge(requests);
    }

    let mut outputs = Vec::new();
    let mut total_rows: u64 = 0;
    let mut fail = false;
    for (temp_ctx, act_req) in req.as_req_iter(query_ctx) {
        let output = handler.insert(act_req, temp_ctx).await;

        if let Ok(Output {
            data: OutputData::AffectedRows(rows),
            meta: _,
        }) = &output
        {
            total_rows += *rows as u64;
        } else {
            fail = true;
        }
        outputs.push(output);
    }

    if total_rows > 0 {
        METRIC_HTTP_LOGS_INGESTION_COUNTER
            .with_label_values(&[db.as_str()])
            .inc_by(total_rows);
        METRIC_HTTP_LOGS_INGESTION_ELAPSED
            .with_label_values(&[db.as_str(), METRIC_SUCCESS_VALUE])
            .observe(exec_timer.elapsed().as_secs_f64());
    }
    if fail {
        METRIC_HTTP_LOGS_INGESTION_ELAPSED
            .with_label_values(&[db.as_str(), METRIC_FAILURE_VALUE])
            .observe(exec_timer.elapsed().as_secs_f64());
    }

    let response = GreptimedbV1Response::from_output(outputs)
        .await
        .with_execution_time(exec_timer.elapsed().as_millis() as u64);
    Ok(response)
}

#[async_trait]
pub trait LogValidator: Send + Sync {
    /// validate payload by source before processing
    /// Return a `Some` result to indicate validation failure.
    async fn validate(&self, source: Option<&str>, payload: &Bytes)
    -> Option<Result<HttpResponse>>;
}

pub type LogValidatorRef = Arc<dyn LogValidator + 'static>;

/// axum state struct to hold log handler and validator
#[derive(Clone)]
pub struct LogState {
    pub log_handler: PipelineHandlerRef,
    pub log_validator: Option<LogValidatorRef>,
    pub ingest_interceptor: Option<LogIngestInterceptorRef<Error>>,
}

#[cfg(test)]
mod tests {

    use super::*;

    #[test]
    fn test_transform_ndjson() {
        let s = "{\"a\": 1}\n{\"b\": 2}";
        let a = serde_json::to_string(
            &transform_ndjson_array_factory(Deserializer::from_str(s).into_iter(), false).unwrap(),
        )
        .unwrap();
        assert_eq!(a, "[{\"a\":1},{\"b\":2}]");

        let s = "{\"a\": 1}";
        let a = serde_json::to_string(
            &transform_ndjson_array_factory(Deserializer::from_str(s).into_iter(), false).unwrap(),
        )
        .unwrap();
        assert_eq!(a, "[{\"a\":1}]");

        let s = "[{\"a\": 1}]";
        let a = serde_json::to_string(
            &transform_ndjson_array_factory(Deserializer::from_str(s).into_iter(), false).unwrap(),
        )
        .unwrap();
        assert_eq!(a, "[{\"a\":1}]");

        let s = "[{\"a\": 1}, {\"b\": 2}]";
        let a = serde_json::to_string(
            &transform_ndjson_array_factory(Deserializer::from_str(s).into_iter(), false).unwrap(),
        )
        .unwrap();
        assert_eq!(a, "[{\"a\":1},{\"b\":2}]");
    }

    #[test]
    fn test_extract_by_content() {
        let payload = r#"
        {"a": 1}
        {"b": 2"}
        {"c": 1}
"#
        .as_bytes();
        let payload = Bytes::from_static(payload);

        let fail_rest =
            extract_pipeline_value_by_content_type(ContentType::json(), payload.clone(), true);
        assert!(fail_rest.is_ok());
        assert_eq!(fail_rest.unwrap(), vec![json!({"a": 1}).into()]);

        let fail_only_wrong =
            extract_pipeline_value_by_content_type(NDJSON_CONTENT_TYPE.clone(), payload, true);
        assert!(fail_only_wrong.is_ok());

        let mut map1 = BTreeMap::new();
        map1.insert(KeyString::from("a"), VrlValue::Integer(1));
        let map1 = VrlValue::Object(map1);
        let mut map2 = BTreeMap::new();
        map2.insert(KeyString::from("c"), VrlValue::Integer(1));
        let map2 = VrlValue::Object(map2);
        assert_eq!(fail_only_wrong.unwrap(), vec![map1, map2]);
    }
}