mirror of
https://github.com/tursodatabase/limbo.git
synced 2025-08-04 18:18:03 +00:00
377 lines
13 KiB
Rust
377 lines
13 KiB
Rust
use anyhow::Result;
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use errors::*;
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use limbo_core::Value;
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use pyo3::prelude::*;
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use pyo3::types::{PyBytes, PyList, PyTuple};
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use std::cell::RefCell;
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use std::num::NonZeroUsize;
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use std::rc::Rc;
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use std::sync::Arc;
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mod errors;
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#[pyclass]
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#[derive(Clone, Debug)]
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struct Description {
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#[pyo3(get)]
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name: String,
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#[pyo3(get)]
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type_code: String,
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#[pyo3(get)]
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display_size: Option<String>,
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#[pyo3(get)]
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internal_size: Option<String>,
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#[pyo3(get)]
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precision: Option<String>,
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#[pyo3(get)]
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scale: Option<String>,
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#[pyo3(get)]
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null_ok: Option<String>,
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}
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#[pyclass(unsendable)]
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pub struct Cursor {
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/// This read/write attribute specifies the number of rows to fetch at a time with `.fetchmany()`.
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/// It defaults to `1`, meaning it fetches a single row at a time.
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#[pyo3(get)]
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arraysize: i64,
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conn: Connection,
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/// The `.description` attribute is a read-only sequence of 7-item, each describing a column in the result set:
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///
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/// - `name`: The column's name (always present).
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/// - `type_code`: The data type code (always present).
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/// - `display_size`: Column's display size (optional).
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/// - `internal_size`: Column's internal size (optional).
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/// - `precision`: Numeric precision (optional).
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/// - `scale`: Numeric scale (optional).
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/// - `null_ok`: Indicates if null values are allowed (optional).
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///
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/// The `name` and `type_code` fields are mandatory; others default to `None` if not applicable.
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///
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/// This attribute is `None` for operations that do not return rows or if no `.execute*()` method has been invoked.
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#[pyo3(get)]
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description: Option<Description>,
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/// Read-only attribute that provides the number of modified rows for `INSERT`, `UPDATE`, `DELETE`,
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/// and `REPLACE` statements; it is `-1` for other statements, including CTE queries.
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/// It is only updated by the `execute()` and `executemany()` methods after the statement has run to completion.
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/// This means any resulting rows must be fetched for `rowcount` to be updated.
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#[pyo3(get)]
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rowcount: i64,
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smt: Option<Rc<RefCell<limbo_core::Statement>>>,
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}
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#[allow(unused_variables, clippy::arc_with_non_send_sync)]
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#[pymethods]
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impl Cursor {
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#[pyo3(signature = (sql, parameters=None))]
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pub fn execute(&mut self, sql: &str, parameters: Option<Py<PyTuple>>) -> Result<Self> {
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let stmt_is_dml = stmt_is_dml(sql);
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let stmt_is_ddl = stmt_is_ddl(sql);
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let statement = self.conn.conn.prepare(sql).map_err(|e| {
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PyErr::new::<ProgrammingError, _>(format!("Failed to prepare statement: {:?}", e))
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})?;
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let stmt = Rc::new(RefCell::new(statement));
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Python::with_gil(|py| {
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if let Some(params) = parameters {
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let obj = params.into_bound(py);
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for (i, elem) in obj.iter().enumerate() {
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let value = py_to_owned_value(&elem)?;
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stmt.borrow_mut()
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.bind_at(NonZeroUsize::new(i + 1).unwrap(), value);
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}
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}
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Ok::<(), anyhow::Error>(())
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})?;
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// For DDL and DML statements,
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// we need to execute the statement immediately
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if stmt_is_ddl || stmt_is_dml {
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while let limbo_core::StepResult::IO = stmt
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.borrow_mut()
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.step()
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.map_err(|e| PyErr::new::<OperationalError, _>(format!("Step error: {:?}", e)))?
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{
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self.conn
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.io
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.run_once()
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.map_err(|e| PyErr::new::<OperationalError, _>(format!("IO error: {:?}", e)))?;
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}
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}
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self.smt = Some(stmt);
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Ok(Cursor {
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smt: self.smt.clone(),
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conn: self.conn.clone(),
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description: self.description.clone(),
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rowcount: self.rowcount,
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arraysize: self.arraysize,
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})
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}
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pub fn fetchone(&mut self, py: Python) -> Result<Option<PyObject>> {
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if let Some(smt) = &self.smt {
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loop {
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let mut stmt = smt.borrow_mut();
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match stmt.step().map_err(|e| {
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PyErr::new::<OperationalError, _>(format!("Step error: {:?}", e))
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})? {
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limbo_core::StepResult::Row => {
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let row = stmt.row().unwrap();
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let py_row = row_to_py(py, row)?;
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return Ok(Some(py_row));
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}
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limbo_core::StepResult::IO => {
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self.conn.io.run_once().map_err(|e| {
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PyErr::new::<OperationalError, _>(format!("IO error: {:?}", e))
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})?;
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}
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limbo_core::StepResult::Interrupt => {
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return Ok(None);
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}
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limbo_core::StepResult::Done => {
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return Ok(None);
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}
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limbo_core::StepResult::Busy => {
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return Err(
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PyErr::new::<OperationalError, _>("Busy error".to_string()).into()
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);
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}
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}
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}
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} else {
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Err(PyErr::new::<ProgrammingError, _>("No statement prepared for execution").into())
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}
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}
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pub fn fetchall(&mut self, py: Python) -> Result<Vec<PyObject>> {
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let mut results = Vec::new();
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if let Some(smt) = &self.smt {
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loop {
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let mut stmt = smt.borrow_mut();
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match stmt.step().map_err(|e| {
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PyErr::new::<OperationalError, _>(format!("Step error: {:?}", e))
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})? {
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limbo_core::StepResult::Row => {
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let row = stmt.row().unwrap();
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let py_row = row_to_py(py, row)?;
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results.push(py_row);
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}
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limbo_core::StepResult::IO => {
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self.conn.io.run_once().map_err(|e| {
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PyErr::new::<OperationalError, _>(format!("IO error: {:?}", e))
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})?;
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}
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limbo_core::StepResult::Interrupt => {
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return Ok(results);
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}
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limbo_core::StepResult::Done => {
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return Ok(results);
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}
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limbo_core::StepResult::Busy => {
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return Err(
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PyErr::new::<OperationalError, _>("Busy error".to_string()).into()
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);
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}
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}
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}
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} else {
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Err(PyErr::new::<ProgrammingError, _>("No statement prepared for execution").into())
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}
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}
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pub fn close(&self) -> PyResult<()> {
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self.conn.close()?;
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Ok(())
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}
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#[pyo3(signature = (sql, parameters=None))]
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pub fn executemany(&self, sql: &str, parameters: Option<Py<PyList>>) -> PyResult<()> {
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Err(PyErr::new::<NotSupportedError, _>(
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"executemany() is not supported in this version",
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))
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}
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#[pyo3(signature = (size=None))]
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pub fn fetchmany(&self, size: Option<i64>) -> PyResult<Option<Vec<PyObject>>> {
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Err(PyErr::new::<NotSupportedError, _>(
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"fetchmany() is not supported in this version",
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))
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}
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}
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fn stmt_is_dml(sql: &str) -> bool {
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let sql = sql.trim();
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let sql = sql.to_uppercase();
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sql.starts_with("INSERT") || sql.starts_with("UPDATE") || sql.starts_with("DELETE")
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}
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fn stmt_is_ddl(sql: &str) -> bool {
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let sql = sql.trim();
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let sql = sql.to_uppercase();
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sql.starts_with("CREATE") || sql.starts_with("ALTER") || sql.starts_with("DROP")
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}
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#[pyclass(unsendable)]
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#[derive(Clone)]
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pub struct Connection {
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conn: Arc<limbo_core::Connection>,
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io: Arc<dyn limbo_core::IO>,
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}
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#[pymethods]
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impl Connection {
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pub fn cursor(&self) -> Result<Cursor> {
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Ok(Cursor {
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arraysize: 1,
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conn: self.clone(),
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description: None,
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rowcount: -1,
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smt: None,
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})
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}
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pub fn close(&self) -> PyResult<()> {
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self.conn.close().map_err(|e| {
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PyErr::new::<OperationalError, _>(format!("Failed to close connection: {:?}", e))
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})?;
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Ok(())
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}
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pub fn commit(&self) -> PyResult<()> {
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if !self.conn.get_auto_commit() {
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self.conn.execute("COMMIT").map_err(|e| {
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PyErr::new::<OperationalError, _>(format!("Failed to commit: {:?}", e))
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})?;
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self.conn.execute("BEGIN").map_err(|e| {
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PyErr::new::<OperationalError, _>(format!("Failed to commit: {:?}", e))
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})?;
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}
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Ok(())
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}
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pub fn rollback(&self) -> PyResult<()> {
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Err(PyErr::new::<NotSupportedError, _>(
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"Transactions are not supported in this version",
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))
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}
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fn __enter__(&self) -> PyResult<Self> {
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Ok(self.clone())
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}
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fn __exit__(
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&self,
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_exc_type: Option<&Bound<'_, PyAny>>,
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_exc_val: Option<&Bound<'_, PyAny>>,
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_exc_tb: Option<&Bound<'_, PyAny>>,
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) -> PyResult<()> {
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self.close()
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}
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}
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impl Drop for Connection {
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fn drop(&mut self) {
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self.conn
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.close()
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.expect("Failed to drop (close) connection");
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}
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}
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#[allow(clippy::arc_with_non_send_sync)]
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#[pyfunction]
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pub fn connect(path: &str) -> Result<Connection> {
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#[inline(always)]
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fn open_or(
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io: Arc<dyn limbo_core::IO>,
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path: &str,
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) -> std::result::Result<Arc<limbo_core::Database>, PyErr> {
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limbo_core::Database::open_file(io, path, false).map_err(|e| {
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PyErr::new::<DatabaseError, _>(format!("Failed to open database: {:?}", e))
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})
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}
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match path {
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":memory:" => {
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let io: Arc<dyn limbo_core::IO> = Arc::new(limbo_core::MemoryIO::new());
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let db = open_or(io.clone(), path)?;
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let conn: Arc<limbo_core::Connection> = db.connect().unwrap();
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Ok(Connection { conn, io })
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}
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path => {
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let io: Arc<dyn limbo_core::IO> = Arc::new(limbo_core::PlatformIO::new()?);
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let db = open_or(io.clone(), path)?;
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let conn: Arc<limbo_core::Connection> = db.connect().unwrap();
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Ok(Connection { conn, io })
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}
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}
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}
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fn row_to_py(py: Python, row: &limbo_core::Row) -> Result<PyObject> {
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let mut py_values = Vec::new();
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for value in row.get_values() {
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match value {
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limbo_core::Value::Null => py_values.push(py.None()),
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limbo_core::Value::Integer(i) => py_values.push(i.into_pyobject(py)?.into()),
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limbo_core::Value::Float(f) => py_values.push(f.into_pyobject(py)?.into()),
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limbo_core::Value::Text(s) => py_values.push(s.as_str().into_pyobject(py)?.into()),
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limbo_core::Value::Blob(b) => py_values.push(PyBytes::new(py, b.as_slice()).into()),
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}
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}
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Ok(PyTuple::new(py, &py_values)
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.unwrap()
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.into_pyobject(py)?
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.into())
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}
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/// Converts a Python object to a Limbo Value
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fn py_to_owned_value(obj: &Bound<PyAny>) -> Result<limbo_core::Value> {
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if obj.is_none() {
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Ok(Value::Null)
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} else if let Ok(integer) = obj.extract::<i64>() {
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return Ok(Value::Integer(integer));
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} else if let Ok(float) = obj.extract::<f64>() {
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return Ok(Value::Float(float));
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} else if let Ok(string) = obj.extract::<String>() {
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return Ok(Value::Text(string.into()));
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} else if let Ok(bytes) = obj.downcast::<PyBytes>() {
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return Ok(Value::Blob(bytes.as_bytes().to_vec()));
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} else {
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return Err(PyErr::new::<ProgrammingError, _>(format!(
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"Unsupported Python type: {}",
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obj.get_type().name()?
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))
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.into());
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}
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}
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#[pymodule]
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fn _limbo(m: &Bound<PyModule>) -> PyResult<()> {
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m.add("__version__", env!("CARGO_PKG_VERSION"))?;
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m.add_class::<Connection>()?;
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m.add_class::<Cursor>()?;
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m.add_function(wrap_pyfunction!(connect, m)?)?;
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m.add("Warning", m.py().get_type::<Warning>())?;
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m.add("Error", m.py().get_type::<Error>())?;
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m.add("InterfaceError", m.py().get_type::<InterfaceError>())?;
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m.add("DatabaseError", m.py().get_type::<DatabaseError>())?;
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m.add("DataError", m.py().get_type::<DataError>())?;
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m.add("OperationalError", m.py().get_type::<OperationalError>())?;
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m.add("IntegrityError", m.py().get_type::<IntegrityError>())?;
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m.add("InternalError", m.py().get_type::<InternalError>())?;
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m.add("ProgrammingError", m.py().get_type::<ProgrammingError>())?;
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m.add("NotSupportedError", m.py().get_type::<NotSupportedError>())?;
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Ok(())
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}
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