akar-main 0.1.5

Akar - pure Rust embedded graph database for AI agent memory
Documentation
use crate::{Connection, Database, QueryResult};
use arrow::datatypes::{DataType, Field, Schema};
use arrow::record_batch::RecordBatch;
use std::sync::Arc;

pub struct AdbcDatabase {
    pub db: Arc<Database>,
}

impl AdbcDatabase {
    pub fn new(db: Arc<Database>) -> Self {
        Self { db }
    }

    pub fn connect(&self) -> AdbcConnection {
        AdbcConnection {
            conn: Arc::new(Connection::new(&self.db)),
        }
    }
}

pub struct AdbcConnection {
    pub conn: Arc<Connection>,
}

impl AdbcConnection {
    pub fn create_statement(&self) -> AdbcStatement {
        AdbcStatement {
            conn: self.conn.clone(),
            query: None,
        }
    }
}

pub struct AdbcStatement {
    conn: Arc<Connection>,
    query: Option<String>,
}

pub struct AdbcPreparedStatement {
    conn: Arc<Connection>,
    query: String,
}

impl AdbcPreparedStatement {
    pub fn new(conn: Arc<Connection>, query: String) -> Self {
        Self { conn, query }
    }

    pub fn bind(&mut self, _params: Vec<String>) -> Result<(), String> {
        // Implement parameter binding here
        Ok(())
    }

    pub fn execute(&self) -> Result<QueryResult, String> {
        self.conn.query(&self.query).map_err(|e| e.to_string())
    }
}

pub struct AdbcPartitions {
    pub num_partitions: usize,
}

impl AdbcStatement {
    pub fn set_sql_query(&mut self, query: &str) {
        self.query = Some(query.to_string());
    }

    pub fn prepare(&self) -> Result<AdbcPreparedStatement, String> {
        let query = self.query.as_ref().ok_or("No query set")?;
        Ok(AdbcPreparedStatement::new(self.conn.clone(), query.clone()))
    }

    pub fn execute_partitions(&self) -> Result<AdbcPartitions, String> {
        // Mock implementation of partitioned execution
        Ok(AdbcPartitions { num_partitions: 1 })
    }

    pub fn execute(&self) -> Result<QueryResult, String> {
        let query = self.query.as_ref().ok_or("No query set")?;
        self.conn.query(query).map_err(|e| e.to_string())
    }

    pub fn execute_arrow(&self) -> Result<Vec<RecordBatch>, String> {
        let res = self.execute()?;
        if !res.success {
            return Err(res.error_message.unwrap_or_else(|| "Unknown error".to_string()));
        }

        if res.chunks.is_empty() {
            return Ok(Vec::new());
        }

        // This is a stub for Arrow translation.
        let schema = Arc::new(Schema::new(vec![Field::new("dummy", DataType::Int32, true)]));

        let batch = RecordBatch::new_empty(schema);
        Ok(vec![batch])
    }
}