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