2100 lines
80 KiB
Rust
2100 lines
80 KiB
Rust
use std::sync::Arc;
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use serde_json::json;
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use crate::agent_events::{ToolCall, ToolDefinition, ToolResult};
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use crate::connection::AppState;
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use crate::db::vector_driver;
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use crate::models::connection::DatabaseType;
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use crate::query::QueryExecutionOptions;
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use crate::query_execution_sql::{build_explain_sql, supports_explain_plan, supports_sql_query, ExplainSqlOptions};
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use crate::sql_dialect::{build_table_data_select_sql, TableDataSelectSqlOptions};
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use crate::sql_risk::SqlRisk;
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use crate::types::{QueryMessage, QueryResult};
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/// Maximum number of tables returned by list_tables tool.
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const LIST_TABLES_LIMIT: usize = 200;
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/// Maximum number of rows returned by execute_query tool.
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const EXECUTE_QUERY_LIMIT: usize = 50;
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/// Maximum number of rows returned by get_sample_data tool.
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const SAMPLE_DATA_LIMIT: usize = 20;
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/// Maximum number of rows returned by browse_collection tool.
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const BROWSE_COLLECTION_LIMIT: usize = 20;
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/// Absolute maximum rows any query tool may request.
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const MAX_ALLOWED_ROWS: usize = 100;
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/// Default string-cell character budget for AI and local MCP query results.
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const DEFAULT_QUERY_CELL_CHAR_LIMIT: usize = 200;
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/// Explicit string-cell windows stay bounded so one tool call cannot flood the model context.
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const MAX_QUERY_CELL_CHAR_LIMIT: usize = 4_000;
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/// Bounds explicit sliding-window scans without changing the underlying database request.
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const MAX_QUERY_CELL_CHAR_OFFSET: usize = 1_000_000;
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#[derive(Debug, Clone, Copy, PartialEq, Eq)]
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pub struct QueryCellWindow {
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offset: usize,
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limit: usize,
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}
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impl Default for QueryCellWindow {
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fn default() -> Self {
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Self { offset: 0, limit: DEFAULT_QUERY_CELL_CHAR_LIMIT }
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}
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}
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impl QueryCellWindow {
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pub fn from_options(offset: Option<u64>, limit: Option<u64>) -> Self {
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Self {
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offset: bounded_query_cell_option(offset, 0, MAX_QUERY_CELL_CHAR_OFFSET),
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limit: bounded_query_cell_option(limit, DEFAULT_QUERY_CELL_CHAR_LIMIT, MAX_QUERY_CELL_CHAR_LIMIT).max(1),
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}
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}
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pub fn from_arguments(arguments: &serde_json::Value) -> Self {
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Self::from_options(
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arguments.get("cell_char_offset").and_then(serde_json::Value::as_u64),
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arguments.get("cell_char_limit").and_then(serde_json::Value::as_u64),
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)
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}
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pub fn explicit_from_arguments(arguments: &serde_json::Value) -> Option<Self> {
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let offset = arguments.get("cell_char_offset").and_then(serde_json::Value::as_u64);
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let limit = arguments.get("cell_char_limit").and_then(serde_json::Value::as_u64);
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(offset.is_some() || limit.is_some()).then(|| Self::from_options(offset, limit))
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}
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}
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fn bounded_query_cell_option(value: Option<u64>, default: usize, maximum: usize) -> usize {
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value.map(|value| value.min(maximum as u64) as usize).unwrap_or(default)
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}
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#[derive(Debug, Clone, Default, PartialEq, Eq)]
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pub struct AgentSqlPermissions {
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pub allow_writes: bool,
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pub allow_dangerous: bool,
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/// When present, write/DDL execute_query calls must match this SQL
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/// (after trimming only surrounding whitespace). Set by the frontend
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/// when the user confirms a specific write-SQL proposal.
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pub confirmed_write_sql: Option<String>,
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}
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/// Build the write permissions for one AI-agent run from an explicit user
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/// confirmation. Both Desktop and Web use this fail-closed boundary so an
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/// empty confirmation or a production target cannot enable writes.
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pub fn confirmed_write_sql_permissions(
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production_database: bool,
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allow_write_sql: bool,
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confirmed_write_sql: Option<String>,
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) -> AgentSqlPermissions {
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let confirmed_write_sql = confirmed_write_sql.filter(|sql| !sql.trim().is_empty());
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let write_sql_confirmed = !production_database && allow_write_sql && confirmed_write_sql.is_some();
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AgentSqlPermissions {
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allow_writes: write_sql_confirmed,
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allow_dangerous: write_sql_confirmed,
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confirmed_write_sql: write_sql_confirmed.then_some(confirmed_write_sql).flatten(),
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}
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}
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/// Verify that the confirmed connection/database snapshot matches the actual
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/// target. Returns `(allow_write_sql, confirmed_write_sql)` — when the target
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/// does not match, the grant is voided (allow=false, confirmed=None).
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///
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/// This is defense-in-depth: the frontend also verifies synchronously, but
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/// this backend check protects CLI-provider and API-driven paths.
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pub fn verify_confirmed_target(
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allow_write_sql: Option<bool>,
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confirmed_write_sql: Option<String>,
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confirmed_connection_id: Option<String>,
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confirmed_database: Option<String>,
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confirmed_schema: Option<String>,
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actual_connection_id: &str,
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actual_database: &str,
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actual_schema: Option<&str>,
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) -> (Option<bool>, Option<String>) {
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let Some(ref confirmed_sql) = confirmed_write_sql else {
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return (allow_write_sql, confirmed_write_sql);
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};
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// Only verify when a write SQL was actually confirmed.
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let target_mismatch = confirmed_connection_id.as_deref() != Some(actual_connection_id)
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|| confirmed_database.as_deref() != Some(actual_database)
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|| confirmed_schema.as_deref() != actual_schema;
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if target_mismatch {
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log::warn!(
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"Write-SQL grant voided: confirmed target (conn={:?}, db={:?}, schema={:?}) does not match actual (conn={}, db={}, schema={:?}).",
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confirmed_connection_id,
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confirmed_database,
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confirmed_schema,
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actual_connection_id,
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actual_database,
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actual_schema,
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);
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// SQL can contain literals or credentials. Keep diagnostic visibility
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// behind the shared debug-only redaction boundary.
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crate::sql_diagnostics::debug_sql("write_sql_grant_voided", confirmed_sql);
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return (Some(false), None);
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}
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(allow_write_sql, confirmed_write_sql)
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}
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fn sql_risk_allowed(risk: SqlRisk, permissions: AgentSqlPermissions) -> bool {
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match risk {
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SqlRisk::ReadOnly => true,
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SqlRisk::Write => permissions.allow_writes,
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SqlRisk::Ddl => permissions.allow_dangerous,
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SqlRisk::Transaction => false,
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}
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}
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/// Returns true for vector database types (Qdrant, Milvus, Weaviate, ChromaDb).
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/// If modifying this, also update VECTOR_DB_TYPES in apps/desktop/src/lib/ai.ts.
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pub fn is_vector_db(db_type: DatabaseType) -> bool {
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matches!(db_type, DatabaseType::Qdrant | DatabaseType::Milvus | DatabaseType::Weaviate | DatabaseType::ChromaDb)
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}
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/// `get_current_time` tool definition — DB-independent utility that returns
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/// the current UTC time plus a caller-provided local offset.
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fn get_current_time_tool() -> ToolDefinition {
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ToolDefinition {
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name: "get_current_time",
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description: "Get the current date and time with timezone information. \
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Pass the client UTC offset from the system prompt; when \
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omitted, local time safely falls back to UTC. Use this to resolve \
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relative time expressions like \"last 7 days\", \
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\"yesterday\", \"this month\" into concrete dates \
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for constructing SQL queries.",
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parameters: json!({
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"type": "object",
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"properties": {
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"utc_offset_minutes": {
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"type": "integer",
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"minimum": -1439,
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"maximum": 1439,
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"description": "Client UTC offset in minutes from the system prompt"
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},
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"timezone": {
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"type": "string",
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"description": "Client IANA timezone name from the system prompt"
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}
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},
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"required": []
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}),
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read_only: true,
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parallel_ok: true,
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}
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}
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/// Execute `get_current_time` — returns a JSON payload with utc, local,
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/// utc_offset_minutes, timezone, and readable fields.
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fn execute_get_current_time(tool_call: &ToolCall) -> Result<String, String> {
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let utc = chrono::Utc::now();
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let offset_minutes = tool_call.arguments.get("utc_offset_minutes").and_then(serde_json::Value::as_i64).unwrap_or(0);
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let offset_minutes = i32::try_from(offset_minutes).map_err(|_| "utc_offset_minutes is out of range".to_string())?;
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let offset_seconds =
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offset_minutes.checked_mul(60).ok_or_else(|| "utc_offset_minutes is out of range".to_string())?;
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let offset = chrono::FixedOffset::east_opt(offset_seconds)
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.ok_or_else(|| "utc_offset_minutes must be between -1439 and 1439".to_string())?;
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let local = utc.with_timezone(&offset);
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let timezone = tool_call
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.arguments
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.get("timezone")
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.and_then(serde_json::Value::as_str)
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.map(str::trim)
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.filter(|value| !value.is_empty())
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.map(str::to_string)
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.unwrap_or_else(|| if offset_minutes == 0 { "UTC".to_string() } else { format!("UTC{}", local.format("%:z")) });
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let readable = format!("{} ({timezone}, UTC{})", local.format("%Y-%m-%d %H:%M:%S"), local.format("%:z"));
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Ok(serde_json::json!({
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"utc": utc.to_rfc3339(),
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"local": local.to_rfc3339(),
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"utc_offset_minutes": offset_minutes,
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"timezone": timezone,
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"readable": readable,
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})
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.to_string())
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}
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/// Get read-only tool definitions for the given database type.
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/// Returns vector tools for vector DBs, SQL tools otherwise.
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pub fn read_only_tools(db_type: DatabaseType) -> Vec<ToolDefinition> {
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if is_vector_db(db_type) {
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vec![list_collections_tool(), get_current_time_tool()]
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} else {
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vec![list_tables_tool(), get_columns_tool(), get_current_time_tool()]
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}
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}
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/// Get all available tool definitions for the given database type.
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/// Includes read-only tools plus execute_query, get_sample_data, and
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/// explain_query for database types that support them.
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pub fn all_tools(db_type: DatabaseType, sql_permissions: AgentSqlPermissions) -> Vec<ToolDefinition> {
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if is_vector_db(db_type) {
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return vec![list_collections_tool(), browse_collection_tool(), get_current_time_tool()];
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}
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let mut tools = vec![list_tables_tool(), get_columns_tool(), get_current_time_tool()];
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if db_type == DatabaseType::MongoDb {
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tools.push(mongo_execute_query_tool(sql_permissions));
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} else if supports_sql_query(db_type) {
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tools.push(execute_query_tool(sql_permissions));
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tools.push(get_sample_data_tool());
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}
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if supports_explain_plan(Some(db_type)) {
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tools.push(explain_query_tool());
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}
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tools
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}
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fn mongo_execute_query_tool(_sql_permissions: AgentSqlPermissions) -> ToolDefinition {
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ToolDefinition {
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name: "execute_query",
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description: "Execute a read-only MongoDB shell command and return results (max 50 rows). Use commands such as db.collection.find({}), db.collection.findOne({}), db.collection.aggregate([]), or db.collection.countDocuments({}). Write commands are not available to the MongoDB Agent.",
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parameters: json!({
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"type": "object",
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"properties": {
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"sql": {
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"type": "string",
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"description": "The MongoDB shell-style command to execute"
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},
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"limit": {
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"type": "number",
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"description": "Max rows to return (default 50, max 100)"
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}
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},
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"required": ["sql"]
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}),
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read_only: true,
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parallel_ok: false,
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}
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}
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/// list_tables tool definition.
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fn list_tables_tool() -> ToolDefinition {
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ToolDefinition {
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name: "list_tables",
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description: "List all tables and views in the current database. Returns table names, types, and comments.",
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parameters: json!({
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"type": "object",
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"properties": {
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"schema": {
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"type": "string",
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"description": "Schema name to list tables from (optional, defaults to current database)"
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}
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},
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"required": []
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}),
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read_only: true,
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parallel_ok: true,
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}
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}
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/// get_columns tool definition.
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fn get_columns_tool() -> ToolDefinition {
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ToolDefinition {
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name: "get_columns",
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description:
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"Get column definitions for a table: names, types, primary keys, nullable, defaults, and comments. \
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Use this when the user asks about table structure, column details, or field information — \
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even if some schema context was provided, this tool returns the authoritative and complete column list.",
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parameters: json!({
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"type": "object",
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"properties": {
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"table": {
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"type": "string",
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"description": "Table name to get columns for"
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},
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"schema": {
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"type": "string",
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"description": "Schema name (optional, defaults to current database)"
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}
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},
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"required": ["table"]
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}),
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read_only: true,
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// get_columns runs sequentially: concurrent metadata queries can exhaust
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// single-connection drivers (e.g. DuckDB), causing cascading tool errors.
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parallel_ok: false,
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}
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}
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/// execute_query tool definition.
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fn execute_query_tool(sql_permissions: AgentSqlPermissions) -> ToolDefinition {
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let description = if sql_permissions.allow_dangerous {
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"Execute SQL after the user explicitly confirmed this operation. Read queries, writes, and DDL are allowed for this run."
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} else if sql_permissions.allow_writes {
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"Execute SQL after the user explicitly confirmed this operation. Read queries and non-DDL writes are allowed for this run."
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} else {
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"Execute a read-only SQL query and return results (max 50 rows). Only SELECT, WITH, SHOW, DESCRIBE, EXPLAIN statements are allowed. Write operations (INSERT/UPDATE/DELETE/DDL) are blocked."
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};
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ToolDefinition {
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name: "execute_query",
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description,
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parameters: json!({
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"type": "object",
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"properties": {
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"sql": {
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"type": "string",
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"description": "The SQL query to execute"
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},
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"limit": {
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"type": "number",
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"description": "Max rows to return (default 50, max 100)"
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},
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"cell_char_offset": {
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"type": "integer",
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"minimum": 0,
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"maximum": 1000000,
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"description": "Start character offset for every string cell (default 0). Use the next offset reported by a truncated result to slide through long values. Narrow the query to the target row and column before expanding."
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},
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"cell_char_limit": {
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"type": "integer",
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"minimum": 1,
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"maximum": 4000,
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"description": "Maximum characters returned per string cell (default 200, max 4000). Increase only for an explicit long-value expansion."
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},
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"client_session_id": {
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"type": "string",
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"description": "Opaque DBX session handle that pins this query to the same backend connection as earlier queries in the session (preserves USE/SET/session state). Managed by DBX; agents should not invent values."
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}
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},
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"required": ["sql"]
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}),
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read_only: true,
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parallel_ok: false,
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}
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}
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/// get_sample_data tool definition.
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fn get_sample_data_tool() -> ToolDefinition {
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ToolDefinition {
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name: "get_sample_data",
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description: "Get sample rows from a table to understand its data. Returns up to 20 rows.",
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parameters: json!({
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"type": "object",
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"properties": {
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"table": {
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"type": "string",
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"description": "Table name"
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},
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"schema": {
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"type": "string",
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"description": "Schema name (optional)"
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},
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"limit": {
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"type": "number",
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"description": "Max rows (default 20)"
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}
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},
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"required": ["table"]
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}),
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read_only: true,
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parallel_ok: true,
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}
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}
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/// explain_query tool definition (Phase 3).
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fn explain_query_tool() -> ToolDefinition {
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ToolDefinition {
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name: "explain_query",
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description: "Get the execution plan for a SQL query using EXPLAIN. \
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Shows how the database will execute the query (scan type, indexes, cost). \
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Only read-only queries (SELECT, WITH, SHOW, DESCRIBE, EXPLAIN) are allowed. \
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Use this to analyze query performance and suggest index optimizations.",
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parameters: json!({
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"type": "object",
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"properties": {
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"sql": {
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"type": "string",
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"description": "The SQL query to explain (must be read-only)"
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}
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},
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"required": ["sql"]
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}),
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read_only: true,
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parallel_ok: true,
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}
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}
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/// list_collections tool definition (vector databases).
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fn list_collections_tool() -> ToolDefinition {
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ToolDefinition {
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name: "list_collections",
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description: "List all collections in the current vector database. Returns collection names and dimensions.",
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parameters: json!({
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"type": "object",
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"properties": {},
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"required": []
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}),
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read_only: true,
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parallel_ok: true,
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}
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}
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/// browse_collection tool definition (vector databases).
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fn browse_collection_tool() -> ToolDefinition {
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ToolDefinition {
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name: "browse_collection",
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description: "Browse documents in a collection. Returns up to 20 items with payload/metadata (vectors excluded for compactness). For ChromaDB, use the collection id (UUID from list_collections) instead of the collection name.",
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parameters: json!({
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"type": "object",
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"properties": {
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"collection": {
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"type": "string",
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"description": "Collection name"
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},
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"limit": {
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"type": "number",
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"description": "Max items to return (default 20, max 100)"
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}
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},
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"required": ["collection"]
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}),
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read_only: true,
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parallel_ok: true,
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}
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}
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/// Execute a tool call and return the result.
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pub async fn execute_tool(
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tool_call: &ToolCall,
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state: &Arc<AppState>,
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connection_id: &str,
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database: &str,
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default_schema: Option<&str>,
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db_type: &DatabaseType,
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sql_permissions: AgentSqlPermissions,
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) -> ToolResult {
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let result = match tool_call.name.as_str() {
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"list_tables" => execute_list_tables(tool_call, state, connection_id, database, default_schema, db_type).await,
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"get_columns" => execute_get_columns(tool_call, state, connection_id, database, default_schema, db_type).await,
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"execute_query" => {
|
||
execute_execute_query(tool_call, state, connection_id, database, default_schema, db_type, sql_permissions)
|
||
.await
|
||
}
|
||
"get_sample_data" => {
|
||
execute_get_sample_data(tool_call, state, connection_id, database, default_schema, db_type).await
|
||
}
|
||
"list_collections" => execute_list_collections(tool_call, state, connection_id, database, db_type).await,
|
||
"browse_collection" => execute_browse_collection(tool_call, state, connection_id, database, db_type).await,
|
||
"explain_query" => {
|
||
let (text_result, explain_data) =
|
||
execute_explain_query(tool_call, state, connection_id, database, default_schema, db_type).await;
|
||
match text_result {
|
||
Ok(content) => {
|
||
return ToolResult {
|
||
tool_call_id: tool_call.id.clone(),
|
||
tool_name: tool_call.name.clone(),
|
||
content,
|
||
is_error: false,
|
||
explain_data,
|
||
};
|
||
}
|
||
Err(err) => {
|
||
return ToolResult {
|
||
tool_call_id: tool_call.id.clone(),
|
||
tool_name: tool_call.name.clone(),
|
||
content: format!("Error: {err}"),
|
||
is_error: true,
|
||
explain_data: None,
|
||
};
|
||
}
|
||
}
|
||
}
|
||
"get_current_time" => execute_get_current_time(tool_call),
|
||
_ => Err(format!("Unknown tool: {}", tool_call.name)),
|
||
};
|
||
|
||
match result {
|
||
Ok(content) => ToolResult {
|
||
tool_call_id: tool_call.id.clone(),
|
||
tool_name: tool_call.name.clone(),
|
||
content,
|
||
is_error: false,
|
||
explain_data: None,
|
||
},
|
||
Err(err) => ToolResult {
|
||
tool_call_id: tool_call.id.clone(),
|
||
tool_name: tool_call.name.clone(),
|
||
content: format!("Error: {err}"),
|
||
is_error: true,
|
||
explain_data: None,
|
||
},
|
||
}
|
||
}
|
||
|
||
async fn execute_list_tables(
|
||
tool_call: &ToolCall,
|
||
state: &Arc<AppState>,
|
||
connection_id: &str,
|
||
database: &str,
|
||
default_schema: Option<&str>,
|
||
_db_type: &DatabaseType,
|
||
) -> Result<String, String> {
|
||
let schema = effective_schema(tool_call, default_schema).unwrap_or_default();
|
||
|
||
// Request one extra to detect whether more tables exist beyond the limit.
|
||
let tables = crate::schema::list_tables_core(
|
||
state,
|
||
connection_id,
|
||
database,
|
||
&schema,
|
||
None,
|
||
Some(LIST_TABLES_LIMIT + 1),
|
||
None,
|
||
None,
|
||
None,
|
||
)
|
||
.await
|
||
.map_err(|e| format!("Failed to list tables: {e}"))?;
|
||
|
||
let total = tables.len();
|
||
let truncated = total > LIST_TABLES_LIMIT;
|
||
|
||
let mut lines = Vec::new();
|
||
let display_count = if truncated { LIST_TABLES_LIMIT } else { total };
|
||
for table in tables.iter().take(display_count) {
|
||
let mut line = format!("- {} ({})", table.name, table.table_type);
|
||
if let Some(comment) = &table.comment {
|
||
let trimmed = comment.trim();
|
||
if !trimmed.is_empty() {
|
||
line.push_str(&format!(" -- {}", trimmed));
|
||
}
|
||
}
|
||
lines.push(line);
|
||
}
|
||
|
||
if truncated {
|
||
lines.push(format!("... (showing {LIST_TABLES_LIMIT} of {total} tables)"));
|
||
}
|
||
|
||
if lines.is_empty() {
|
||
return Ok("No tables found in this database/schema.".to_string());
|
||
}
|
||
|
||
Ok(lines.join("\n"))
|
||
}
|
||
|
||
async fn execute_get_columns(
|
||
tool_call: &ToolCall,
|
||
state: &Arc<AppState>,
|
||
connection_id: &str,
|
||
database: &str,
|
||
default_schema: Option<&str>,
|
||
_db_type: &DatabaseType,
|
||
) -> Result<String, String> {
|
||
let table = tool_call
|
||
.arguments
|
||
.get("table")
|
||
.and_then(|v| v.as_str())
|
||
.ok_or("Missing required parameter: table")?
|
||
.trim()
|
||
.to_string();
|
||
|
||
if table.is_empty() {
|
||
return Err("Table name cannot be empty".to_string());
|
||
}
|
||
if table.len() > 256 {
|
||
return Err(format!("Table name too long: {} characters (max 256)", table.len()));
|
||
}
|
||
// Reject names with characters that are unlikely to be valid identifiers
|
||
if table.contains(';') || table.contains('\'') || table.contains('"') || table.contains('\\') {
|
||
return Err(format!("Table name contains invalid characters: '{}'", table));
|
||
}
|
||
|
||
let schema = effective_schema(tool_call, default_schema).unwrap_or_default();
|
||
|
||
let columns = crate::schema::get_columns_core(state, connection_id, database, &schema, &table)
|
||
.await
|
||
.map_err(|e| format!("Failed to get columns for {table}: {e}"))?;
|
||
|
||
if columns.is_empty() {
|
||
return Ok(format!("No columns found for table '{table}'."));
|
||
}
|
||
|
||
let mut lines = Vec::new();
|
||
lines.push(format!("Columns of {table}:"));
|
||
for col in &columns {
|
||
let mut flags: Vec<String> = Vec::new();
|
||
if col.is_primary_key {
|
||
flags.push("PK".to_string());
|
||
}
|
||
if col.is_nullable {
|
||
flags.push("nullable".to_string());
|
||
} else {
|
||
flags.push("NOT NULL".to_string());
|
||
}
|
||
if let Some(default) = &col.column_default {
|
||
if !default.is_empty() {
|
||
flags.push(format!("default {default}"));
|
||
}
|
||
}
|
||
if let Some(extra) = &col.extra {
|
||
if !extra.is_empty() {
|
||
flags.push(extra.clone());
|
||
}
|
||
}
|
||
|
||
let flags_str = if flags.is_empty() { String::new() } else { format!(" ({})", flags.join(", ")) };
|
||
|
||
let comment_str = col
|
||
.comment
|
||
.as_ref()
|
||
.filter(|c| !c.trim().is_empty())
|
||
.map(|c| format!(" -- {}", c.trim()))
|
||
.unwrap_or_default();
|
||
|
||
lines.push(format!(" - {}: {}{}{}", col.name, col.data_type, flags_str, comment_str));
|
||
}
|
||
|
||
Ok(lines.join("\n"))
|
||
}
|
||
|
||
/// Normalize a SQL string for confirmation comparison.
|
||
///
|
||
/// Confirmation is intentionally fail-closed: only surrounding whitespace is
|
||
/// ignored. SQL case, internal whitespace, comments, literals, and quoted
|
||
/// identifiers can all affect execution semantics across supported dialects.
|
||
pub fn normalize_sql_for_confirmation(sql: &str) -> String {
|
||
sql.trim().to_string()
|
||
}
|
||
|
||
fn truncate_sql_for_error(sql: &str) -> String {
|
||
let s = sql.trim();
|
||
let char_count = s.chars().count();
|
||
if char_count <= 120 {
|
||
s.to_string()
|
||
} else {
|
||
format!("{}...", s.chars().take(117).collect::<String>())
|
||
}
|
||
}
|
||
|
||
/// Check whether `executed_sql` matches the user-confirmed write SQL. Returns
|
||
/// `true` when no confirmation is required (confirmed is `None`) or when the
|
||
/// trimmed forms match.
|
||
fn sql_matches_confirmed_write(executed_sql: &str, confirmed: &Option<String>) -> bool {
|
||
match confirmed {
|
||
None => true,
|
||
Some(confirmed) => normalize_sql_for_confirmation(executed_sql) == normalize_sql_for_confirmation(confirmed),
|
||
}
|
||
}
|
||
|
||
async fn execute_execute_query(
|
||
tool_call: &ToolCall,
|
||
state: &Arc<AppState>,
|
||
connection_id: &str,
|
||
database: &str,
|
||
default_schema: Option<&str>,
|
||
db_type: &DatabaseType,
|
||
sql_permissions: AgentSqlPermissions,
|
||
) -> Result<String, String> {
|
||
let sql = tool_call.arguments.get("sql").and_then(|v| v.as_str()).ok_or("Missing required parameter: sql")?.trim();
|
||
|
||
if sql.is_empty() {
|
||
return Err("SQL query cannot be empty".to_string());
|
||
}
|
||
|
||
let limit = tool_call
|
||
.arguments
|
||
.get("limit")
|
||
.and_then(|v| v.as_u64())
|
||
.map(|l| (l as usize).min(MAX_ALLOWED_ROWS))
|
||
.unwrap_or(EXECUTE_QUERY_LIMIT);
|
||
let cell_window = QueryCellWindow::from_arguments(&tool_call.arguments);
|
||
|
||
if *db_type == DatabaseType::MongoDb {
|
||
return execute_mongo_query(state, connection_id, database, sql, limit.max(1), cell_window).await;
|
||
}
|
||
|
||
// Classify SQL risk using the concrete database dialect.
|
||
let risk = crate::sql_risk::classify_sql_risk_for_database(sql, *db_type)?;
|
||
let connection_config = state.configs.read().await.get(connection_id).cloned();
|
||
if let Some(config) = connection_config {
|
||
if risk != SqlRisk::ReadOnly && crate::production_safety::targets_production_database(&config, database, sql) {
|
||
return Err("Blocked: AI agents cannot execute writes or DDL on a production database. Return the SQL for the user to review and execute manually in DBX.".to_string());
|
||
}
|
||
}
|
||
if !sql_risk_allowed(risk, sql_permissions.clone()) {
|
||
if risk == SqlRisk::Transaction {
|
||
return Err("Blocked: transaction control statements are not available to the AI agent.".to_string());
|
||
}
|
||
return Err(format!(
|
||
"Blocked: {} statement detected. Ask the user to confirm the proposed database change before executing it.",
|
||
risk
|
||
));
|
||
}
|
||
|
||
// When the user confirmed a specific write SQL, the agent must
|
||
// execute only that SQL — not an arbitrary different statement.
|
||
if risk != SqlRisk::ReadOnly && !sql_matches_confirmed_write(sql, &sql_permissions.confirmed_write_sql) {
|
||
let confirmed = sql_permissions.confirmed_write_sql.as_deref().unwrap_or("");
|
||
return Err(format!(
|
||
"Blocked: the executed SQL does not match the user-confirmed SQL.\n\
|
||
Confirmed: {}\n\
|
||
Attempted: {}",
|
||
truncate_sql_for_error(confirmed),
|
||
truncate_sql_for_error(sql),
|
||
));
|
||
}
|
||
|
||
// Stateful callers (e.g. MCP sessions) pin the query to their dedicated
|
||
// connection pool so USE/SET and other session state is preserved.
|
||
let client_session_id =
|
||
tool_call.arguments.get("client_session_id").and_then(|v| v.as_str()).map(str::trim).filter(|v| !v.is_empty());
|
||
|
||
// Execute query using existing infrastructure
|
||
let options = QueryExecutionOptions {
|
||
max_rows: Some(limit),
|
||
timeout_secs: Some(30),
|
||
client_session_id: client_session_id.map(str::to_string),
|
||
..Default::default()
|
||
};
|
||
let result = crate::query::execute_sql_statement_with_options(
|
||
state,
|
||
connection_id,
|
||
database,
|
||
sql,
|
||
default_schema,
|
||
None,
|
||
options,
|
||
)
|
||
.await?;
|
||
|
||
format_query_result_as_text(&result, limit, cell_window)
|
||
}
|
||
|
||
async fn execute_mongo_query(
|
||
state: &Arc<AppState>,
|
||
connection_id: &str,
|
||
database: &str,
|
||
source: &str,
|
||
limit: usize,
|
||
cell_window: QueryCellWindow,
|
||
) -> Result<String, String> {
|
||
let command = crate::mongo_shell::parse(source).map_err(|error| {
|
||
format!(
|
||
"{error} Use MongoDB shell-style commands such as db.collection.find({{}}), db.collection.findOne({{}}), or db.collection.aggregate([])."
|
||
)
|
||
})?;
|
||
if command.is_mutating() {
|
||
return Err(
|
||
"Blocked: MongoDB Agent queries are read-only. Return the command for the user to review and execute manually in DBX."
|
||
.to_string(),
|
||
);
|
||
}
|
||
|
||
let result = crate::mongo_ops::execute_mongo_command_core(state, connection_id, database, &command, limit).await?;
|
||
format_query_result_as_text(&result, limit, cell_window)
|
||
}
|
||
|
||
/// Format a QueryResult as a Markdown table for LLM consumption.
|
||
pub fn format_query_result_as_text(
|
||
result: &QueryResult,
|
||
limit: usize,
|
||
cell_window: QueryCellWindow,
|
||
) -> Result<String, String> {
|
||
// A result without columns is a command result, not an empty result set.
|
||
// This is how drivers represent DML that does not use RETURNING.
|
||
if result.columns.is_empty() {
|
||
return Ok(append_server_messages(
|
||
format!("Query executed. {} row(s) affected.", result.affected_rows),
|
||
&result.messages,
|
||
));
|
||
}
|
||
|
||
let mut lines = Vec::new();
|
||
|
||
// Header row
|
||
lines.push(format!("| {} |", result.columns.join(" | ")));
|
||
// Separator row
|
||
lines.push(format!("|{}|", result.columns.iter().map(|_| "---").collect::<Vec<_>>().join("|")));
|
||
|
||
// Data rows
|
||
for row in &result.rows {
|
||
let cells: Vec<String> = row
|
||
.iter()
|
||
.map(|v| match v {
|
||
serde_json::Value::Null => "NULL".to_string(),
|
||
serde_json::Value::String(value) => format_query_string_cell(value, cell_window),
|
||
other => other.to_string(),
|
||
})
|
||
.collect();
|
||
lines.push(format!("| {} |", cells.join(" | ")));
|
||
}
|
||
|
||
// Truncation notice
|
||
if result.truncated || result.rows.len() >= limit {
|
||
lines.push(format!("... (showing {} rows, result may be truncated)", result.rows.len()));
|
||
}
|
||
|
||
// Stats line
|
||
lines.push(format!("({} rows, {}ms)", result.rows.len(), result.execution_time_ms));
|
||
|
||
Ok(append_server_messages(lines.join("\n"), &result.messages))
|
||
}
|
||
|
||
fn format_query_string_cell(value: &str, window: QueryCellWindow) -> String {
|
||
let mut characters = value.chars().skip(window.offset);
|
||
let mut returned = 0usize;
|
||
let content = characters.by_ref().take(window.limit).inspect(|_| returned += 1).collect::<String>();
|
||
let has_more = characters.next().is_some();
|
||
if window.offset == 0 && !has_more {
|
||
return content;
|
||
}
|
||
|
||
let end = window.offset.saturating_add(returned);
|
||
let prefix = if window.offset > 0 { "..." } else { "" };
|
||
if has_more {
|
||
format!("{prefix}{content}... [chars {}..{end}; next cell_char_offset={end}]", window.offset)
|
||
} else {
|
||
format!("{prefix}{content} [chars {}..{end}; end of value]", window.offset)
|
||
}
|
||
}
|
||
|
||
/// Append server messages in the same style as the MCP `format_query_result`
|
||
/// renderer: a `Server messages:` section with `- SEVERITY: message` lines.
|
||
fn append_server_messages(mut output: String, messages: &[QueryMessage]) -> String {
|
||
if messages.is_empty() {
|
||
return output;
|
||
}
|
||
output.push_str("\n\nServer messages:");
|
||
for message in messages {
|
||
output.push_str(&format!("\n- {}", message.format_line()));
|
||
}
|
||
output
|
||
}
|
||
|
||
/// Get sample data from a table via the get_sample_data tool.
|
||
async fn execute_get_sample_data(
|
||
tool_call: &ToolCall,
|
||
state: &Arc<AppState>,
|
||
connection_id: &str,
|
||
database: &str,
|
||
default_schema: Option<&str>,
|
||
db_type: &DatabaseType,
|
||
) -> Result<String, String> {
|
||
let table =
|
||
tool_call.arguments.get("table").and_then(|v| v.as_str()).ok_or("Missing required parameter: table")?.trim();
|
||
|
||
if table.is_empty() {
|
||
return Err("Table name cannot be empty".to_string());
|
||
}
|
||
if table.contains(';') || table.contains('\'') || table.contains('"') || table.contains('\\') {
|
||
return Err(format!("Table name contains invalid characters: '{}'", table));
|
||
}
|
||
|
||
let schema = effective_schema(tool_call, default_schema);
|
||
let limit = tool_call
|
||
.arguments
|
||
.get("limit")
|
||
.and_then(|v| v.as_u64())
|
||
.map(|l| (l as usize).min(MAX_ALLOWED_ROWS))
|
||
.unwrap_or(SAMPLE_DATA_LIMIT);
|
||
|
||
// Reuse the table-data builder so identifier quoting and row limiting follow
|
||
// the active database instead of assuming PostgreSQL syntax.
|
||
let sql = build_sample_data_sql(db_type, schema.as_deref(), table, limit);
|
||
|
||
// Delegate to execute_execute_query with a synthetic tool call
|
||
let synthetic_call = ToolCall {
|
||
id: tool_call.id.clone(),
|
||
name: "execute_query".to_string(),
|
||
arguments: serde_json::json!({ "sql": sql, "limit": limit }),
|
||
provider_payload: None,
|
||
};
|
||
execute_execute_query(
|
||
&synthetic_call,
|
||
state,
|
||
connection_id,
|
||
database,
|
||
schema.as_deref(),
|
||
db_type,
|
||
AgentSqlPermissions::default(),
|
||
)
|
||
.await
|
||
}
|
||
|
||
fn build_sample_data_sql(db_type: &DatabaseType, schema: Option<&str>, table: &str, limit: usize) -> String {
|
||
build_table_data_select_sql(TableDataSelectSqlOptions {
|
||
database_type: Some(*db_type),
|
||
schema: schema.map(str::to_owned),
|
||
table_name: table.to_string(),
|
||
limit: Some(limit),
|
||
..Default::default()
|
||
})
|
||
}
|
||
|
||
/// Execute an EXPLAIN query via the explain_query tool.
|
||
/// Returns (text_for_llm, optional_explain_data_for_frontend).
|
||
async fn execute_explain_query(
|
||
tool_call: &ToolCall,
|
||
state: &Arc<AppState>,
|
||
connection_id: &str,
|
||
database: &str,
|
||
default_schema: Option<&str>,
|
||
db_type: &DatabaseType,
|
||
) -> (Result<String, String>, Option<serde_json::Value>) {
|
||
let sql = match tool_call.arguments.get("sql").and_then(|v| v.as_str()) {
|
||
Some(s) => s.trim(),
|
||
None => return (Err("Missing required parameter: sql".to_string()), None),
|
||
};
|
||
|
||
if sql.is_empty() {
|
||
return (Err("SQL query cannot be empty".to_string()), None);
|
||
}
|
||
|
||
// Classify SQL risk – only ReadOnly queries can be explained
|
||
let risk = match crate::sql_risk::classify_sql_risk_for_database(sql, *db_type) {
|
||
Ok(r) => r,
|
||
Err(e) => return (Err(e), None),
|
||
};
|
||
match risk {
|
||
SqlRisk::ReadOnly => { /* proceed */ }
|
||
_ => {
|
||
return (
|
||
Err(format!(
|
||
"Blocked: {} statement detected. Only read-only queries (SELECT, SHOW, DESCRIBE, EXPLAIN) can be analyzed.",
|
||
risk
|
||
)),
|
||
None,
|
||
);
|
||
}
|
||
}
|
||
|
||
if *db_type == DatabaseType::Oracle {
|
||
return match crate::agent_explain::get_agent_explain_info_core(
|
||
state,
|
||
connection_id,
|
||
Some(database),
|
||
default_schema,
|
||
sql,
|
||
Some("explain"),
|
||
)
|
||
.await
|
||
{
|
||
Ok(plan) => (Ok(plan.clone()), Some(serde_json::Value::String(plan))),
|
||
Err(error) => (Err(error), None),
|
||
};
|
||
}
|
||
|
||
// Build the database-specific EXPLAIN SQL
|
||
let explain_result = build_explain_sql(ExplainSqlOptions {
|
||
database_type: Some(*db_type),
|
||
format: None,
|
||
analyze: None,
|
||
sql: sql.to_string(),
|
||
});
|
||
|
||
let explain_sql = match (explain_result.ok, explain_result.sql) {
|
||
(true, Some(sql)) => sql,
|
||
(true, None) => return (Err("EXPLAIN SQL is empty".to_string()), None),
|
||
(false, _) => {
|
||
let reason = explain_result.reason.unwrap_or_else(|| "unknown".to_string());
|
||
return (Err(format!("Cannot explain this query: {}. The database type may not support EXPLAIN, or the query may be unsafe.", reason)), None);
|
||
}
|
||
};
|
||
|
||
// Execute the EXPLAIN query
|
||
let options = QueryExecutionOptions { max_rows: Some(100), timeout_secs: Some(30), ..Default::default() };
|
||
let result = match crate::query::execute_sql_statement_with_options(
|
||
state,
|
||
connection_id,
|
||
database,
|
||
&explain_sql,
|
||
default_schema,
|
||
None,
|
||
options,
|
||
)
|
||
.await
|
||
{
|
||
Ok(r) => r,
|
||
Err(e) => return (Err(e), None),
|
||
};
|
||
|
||
// Serialize the raw QueryResult for the frontend ExplainPlanViewer
|
||
let explain_data = serde_json::to_value(&result).ok();
|
||
let text = match format_query_result_as_text(&result, 100, QueryCellWindow::default()) {
|
||
Ok(t) => t,
|
||
Err(e) => return (Err(e), None),
|
||
};
|
||
|
||
(Ok(text), explain_data)
|
||
}
|
||
|
||
/// A selected context schema is authoritative for an Agent run. If none was
|
||
/// selected, keep the existing per-tool schema parameter behavior.
|
||
fn effective_schema(tool_call: &ToolCall, default_schema: Option<&str>) -> Option<String> {
|
||
default_schema.map(str::trim).filter(|schema| !schema.is_empty()).map(ToOwned::to_owned).or_else(|| {
|
||
tool_call
|
||
.arguments
|
||
.get("schema")
|
||
.and_then(|value| value.as_str())
|
||
.map(str::trim)
|
||
.filter(|schema| !schema.is_empty())
|
||
.map(ToOwned::to_owned)
|
||
})
|
||
}
|
||
|
||
/// Execute list_collections tool (vector databases).
|
||
async fn execute_list_collections(
|
||
_tool_call: &ToolCall,
|
||
state: &Arc<AppState>,
|
||
connection_id: &str,
|
||
database: &str,
|
||
_db_type: &DatabaseType,
|
||
) -> Result<String, String> {
|
||
let collections = crate::schema::list_vector_collections_core(state, connection_id, database)
|
||
.await
|
||
.map_err(|e| format!("Failed to list collections: {e}"))?;
|
||
|
||
if collections.is_empty() {
|
||
return Ok("No collections found.".to_string());
|
||
}
|
||
|
||
let mut lines: Vec<String> = collections
|
||
.iter()
|
||
.map(|c| {
|
||
let mut line = format!("- {} (COLLECTION)", c.name);
|
||
if let Some(dim) = c.dimension {
|
||
line.push_str(&format!(" -- {}d", dim));
|
||
}
|
||
line.push_str(&format!(" [id: {}]", c.id));
|
||
line
|
||
})
|
||
.collect();
|
||
|
||
if lines.len() > LIST_TABLES_LIMIT {
|
||
lines.truncate(LIST_TABLES_LIMIT);
|
||
lines.push(format!("... (showing {LIST_TABLES_LIMIT} of {} collections)", collections.len()));
|
||
}
|
||
|
||
Ok(lines.join("\n"))
|
||
}
|
||
|
||
/// Execute browse_collection tool (vector databases).
|
||
/// Generates a database-specific REST query and executes it.
|
||
async fn execute_browse_collection(
|
||
tool_call: &ToolCall,
|
||
state: &Arc<AppState>,
|
||
connection_id: &str,
|
||
database: &str,
|
||
db_type: &DatabaseType,
|
||
) -> Result<String, String> {
|
||
let collection = tool_call
|
||
.arguments
|
||
.get("collection")
|
||
.and_then(|v| v.as_str())
|
||
.ok_or("Missing required parameter: collection")?
|
||
.trim();
|
||
|
||
if collection.is_empty() {
|
||
return Err("Collection name cannot be empty".to_string());
|
||
}
|
||
|
||
let limit = tool_call
|
||
.arguments
|
||
.get("limit")
|
||
.and_then(|v| v.as_u64())
|
||
.map(|l| (l as usize).min(MAX_ALLOWED_ROWS))
|
||
.unwrap_or(BROWSE_COLLECTION_LIMIT);
|
||
|
||
// ChromaDB requires UUID in URL path, not collection name.
|
||
// If the collection param is already a UUID (from list_collections output), use it directly.
|
||
let collection_id = if *db_type == DatabaseType::ChromaDb && !is_uuid(collection) {
|
||
resolve_chroma_collection_uuid(state, connection_id, database, collection).await?
|
||
} else {
|
||
collection.to_string()
|
||
};
|
||
|
||
let query = build_browse_query(db_type, &collection_id, database, limit)?;
|
||
|
||
let options = QueryExecutionOptions { max_rows: Some(limit), timeout_secs: Some(30), ..Default::default() };
|
||
let result =
|
||
crate::query::execute_sql_statement_with_options(state, connection_id, database, &query, None, None, options)
|
||
.await?;
|
||
|
||
format_query_result_as_text(&result, limit, QueryCellWindow::default())
|
||
}
|
||
|
||
/// Build a browse query for the given vector database type.
|
||
/// Intentionally omits offset/pagination — Agent browse only fetches the first N items.
|
||
fn build_browse_query(
|
||
db_type: &DatabaseType,
|
||
collection: &str,
|
||
database: &str,
|
||
limit: usize,
|
||
) -> Result<String, String> {
|
||
let collection = collection.trim();
|
||
if collection.is_empty() {
|
||
return Err("Collection name cannot be empty".to_string());
|
||
}
|
||
let limit = limit.max(1) as u64;
|
||
|
||
match db_type {
|
||
DatabaseType::Qdrant => Ok(format!(
|
||
"POST /collections/{}/points/scroll\n{}",
|
||
vector_driver::path_segment(collection),
|
||
serde_json::json!({ "limit": limit, "with_payload": true, "with_vector": false })
|
||
)),
|
||
// Milvus v2 omitting outputFields defaults to returning only scalar fields (no vectors).
|
||
DatabaseType::Milvus => Ok(format!(
|
||
"POST /v2/vectordb/entities/query\n{}",
|
||
serde_json::json!({
|
||
"dbName": if database.is_empty() { "default" } else { database },
|
||
"collectionName": collection,
|
||
"filter": "", "limit": limit
|
||
})
|
||
)),
|
||
DatabaseType::Weaviate => {
|
||
Ok(format!("GET /v1/objects?class={}&limit={}", vector_driver::query_value(collection), limit))
|
||
}
|
||
// TODO: ChromaDB Cloud 支持自定义租户和数据库，当前只实现了本地部署
|
||
// （固定 default_tenant / default_database），后续支持云服务时需改为可配置。
|
||
DatabaseType::ChromaDb => Ok(format!(
|
||
"POST /api/v2/tenants/default_tenant/databases/default_database/collections/{}/get\n{}",
|
||
collection,
|
||
serde_json::json!({ "limit": limit, "include": ["documents", "metadatas"] })
|
||
)),
|
||
_ => Err(format!("Unsupported database type: {:?}", db_type)),
|
||
}
|
||
}
|
||
|
||
/// Check if a string looks like a UUID (simple check — 36 chars with 4 hyphens).
|
||
fn is_uuid(s: &str) -> bool {
|
||
s.len() == 36
|
||
&& s.chars().filter(|&c| c == '-').count() == 4
|
||
&& s.chars().all(|c| c.is_ascii_hexdigit() || c == '-')
|
||
}
|
||
|
||
/// Resolve a ChromaDB collection name to its UUID by listing all collections.
|
||
async fn resolve_chroma_collection_uuid(
|
||
state: &Arc<AppState>,
|
||
connection_id: &str,
|
||
database: &str,
|
||
name: &str,
|
||
) -> Result<String, String> {
|
||
let collections = crate::schema::list_vector_collections_core(state, connection_id, database).await?;
|
||
collections
|
||
.into_iter()
|
||
.find(|c| c.name == name)
|
||
.map(|c| c.id)
|
||
.ok_or_else(|| format!("Collection '{name}' not found"))
|
||
}
|
||
|
||
#[cfg(test)]
|
||
mod tests {
|
||
use super::*;
|
||
#[cfg(unix)]
|
||
use crate::connection::PoolKind;
|
||
#[cfg(unix)]
|
||
use crate::db::agent_driver::{AgentDriverClient, AgentLaunchSpec};
|
||
#[cfg(unix)]
|
||
use crate::models::connection::{default_redis_key_separator, ConnectionConfig};
|
||
#[cfg(unix)]
|
||
use crate::storage::Storage;
|
||
|
||
#[cfg(unix)]
|
||
async fn spawn_recording_agent(record_path: &std::path::Path) -> (AgentDriverClient, tempfile::NamedTempFile) {
|
||
use std::io::Write;
|
||
|
||
let mut script = tempfile::NamedTempFile::new().unwrap();
|
||
write!(
|
||
script,
|
||
r#"import json
|
||
import sys
|
||
|
||
record_path = sys.argv[1]
|
||
print(json.dumps({{"ready": True}}), flush=True)
|
||
for line in sys.stdin:
|
||
request = json.loads(line)
|
||
with open(record_path, "a", encoding="utf-8") as record:
|
||
record.write(json.dumps(request) + "\n")
|
||
result = {{
|
||
"columns": [],
|
||
"column_types": [],
|
||
"column_sortables": [],
|
||
"rows": [],
|
||
"affected_rows": 1,
|
||
"execution_time_ms": 0,
|
||
"truncated": False,
|
||
"session_id": None,
|
||
"has_more": False
|
||
}}
|
||
print(json.dumps({{"jsonrpc": "2.0", "id": request["id"], "result": result}}), flush=True)
|
||
"#
|
||
)
|
||
.unwrap();
|
||
script.flush().unwrap();
|
||
|
||
let client = AgentDriverClient::spawn(
|
||
AgentLaunchSpec::new("python3")
|
||
.with_args([script.path().to_string_lossy().to_string(), record_path.to_string_lossy().to_string()]),
|
||
)
|
||
.await
|
||
.unwrap();
|
||
(client, script)
|
||
}
|
||
|
||
#[cfg(unix)]
|
||
fn agent_test_connection(id: &str, name: &str, db_type: DatabaseType, database: &str) -> ConnectionConfig {
|
||
ConnectionConfig {
|
||
docs_notes_path: None,
|
||
id: id.to_string(),
|
||
name: name.to_string(),
|
||
note: String::new(),
|
||
db_type,
|
||
driver_profile: None,
|
||
driver_label: None,
|
||
url_params: None,
|
||
agent_java_options: Vec::new(),
|
||
host: "localhost".to_string(),
|
||
port: 5236,
|
||
username: "APP_USER".to_string(),
|
||
password: String::new(),
|
||
database: Some(database.to_string()),
|
||
default_schema: None,
|
||
visible_databases: None,
|
||
visible_schemas: None,
|
||
show_system_schemas: false,
|
||
attached_databases: Vec::new(),
|
||
init_script: None,
|
||
color: None,
|
||
transport_layers: Vec::new(),
|
||
connect_timeout_secs: 10,
|
||
query_timeout_secs: 30,
|
||
idle_timeout_secs: 60,
|
||
keepalive_interval_secs: 30,
|
||
ssl: false,
|
||
ca_cert_path: String::new(),
|
||
client_cert_path: String::new(),
|
||
client_key_path: String::new(),
|
||
sysdba: false,
|
||
oracle_connection_type: None,
|
||
connection_string: None,
|
||
redis_connection_mode: None,
|
||
redis_sentinel_master: String::new(),
|
||
redis_sentinel_nodes: String::new(),
|
||
redis_sentinel_username: String::new(),
|
||
redis_sentinel_password: String::new(),
|
||
redis_sentinel_tls: false,
|
||
redis_cluster_nodes: String::new(),
|
||
redis_key_separator: default_redis_key_separator(),
|
||
redis_scan_page_size: None,
|
||
redis_database_aliases: Default::default(),
|
||
etcd_endpoints: String::new(),
|
||
gbase_server: String::new(),
|
||
informix_server: String::new(),
|
||
external_config: None,
|
||
jdbc_driver_class: None,
|
||
jdbc_driver_paths: Vec::new(),
|
||
one_time: false,
|
||
read_only: false,
|
||
is_production: false,
|
||
production_databases: vec![],
|
||
database_info: None,
|
||
}
|
||
}
|
||
|
||
#[test]
|
||
fn vector_read_only_tools_do_not_include_collection_browsing() {
|
||
let tools = read_only_tools(DatabaseType::Qdrant);
|
||
let names: Vec<&str> = tools.iter().map(|tool| tool.name).collect();
|
||
|
||
assert!(names.contains(&"list_collections"));
|
||
assert!(!names.contains(&"browse_collection"));
|
||
assert!(names.contains(&"get_current_time"));
|
||
}
|
||
|
||
#[test]
|
||
fn vector_agent_tools_include_collection_browsing() {
|
||
let tools = all_tools(DatabaseType::Qdrant, AgentSqlPermissions::default());
|
||
let names: Vec<&str> = tools.iter().map(|tool| tool.name).collect();
|
||
|
||
assert!(names.contains(&"list_collections"));
|
||
assert!(names.contains(&"browse_collection"));
|
||
assert!(names.contains(&"get_current_time"));
|
||
}
|
||
|
||
#[cfg(unix)]
|
||
#[tokio::test]
|
||
async fn mongodb_agent_registers_shell_query_tool_and_routes_find_one_as_read_only() {
|
||
let tools = all_tools(DatabaseType::MongoDb, AgentSqlPermissions::default());
|
||
let names = tools.iter().map(|tool| tool.name).collect::<Vec<_>>();
|
||
assert!(names.contains(&"execute_query"));
|
||
assert!(!names.contains(&"get_sample_data"));
|
||
assert!(!names.contains(&"explain_query"));
|
||
let execute_query = tools.iter().find(|tool| tool.name == "execute_query").unwrap();
|
||
assert!(execute_query.description.contains("MongoDB shell command"));
|
||
assert!(!execute_query.description.contains("SQL query"));
|
||
assert!(execute_query.description.contains("read-only"));
|
||
|
||
let confirmed_tools = all_tools(
|
||
DatabaseType::MongoDb,
|
||
AgentSqlPermissions {
|
||
allow_writes: true,
|
||
allow_dangerous: true,
|
||
confirmed_write_sql: Some("db.items.insertOne({name: 'test'})".to_string()),
|
||
},
|
||
);
|
||
let confirmed_execute_query = confirmed_tools.iter().find(|tool| tool.name == "execute_query").unwrap();
|
||
assert!(confirmed_execute_query.description.contains("read-only"));
|
||
assert!(!confirmed_execute_query.description.contains("confirmed write"));
|
||
|
||
let temp_dir = tempfile::tempdir().unwrap();
|
||
let storage = Storage::open(&temp_dir.path().join("storage.db")).await.unwrap();
|
||
let state = Arc::new(AppState::new(storage));
|
||
let call = ToolCall {
|
||
id: "mongo-find-one".to_string(),
|
||
name: "execute_query".to_string(),
|
||
arguments: json!({ "sql": "db.BenchmarkIndex_approved.findOne({})" }),
|
||
provider_payload: None,
|
||
};
|
||
|
||
let result = execute_tool(
|
||
&call,
|
||
&state,
|
||
"mongo-1",
|
||
"benchmark",
|
||
None,
|
||
&DatabaseType::MongoDb,
|
||
AgentSqlPermissions::default(),
|
||
)
|
||
.await;
|
||
|
||
assert!(result.is_error);
|
||
assert!(!result.content.contains("Blocked:"), "{}", result.content);
|
||
assert!(result.content.contains("Connection") || result.content.contains("connection"), "{}", result.content);
|
||
}
|
||
|
||
#[cfg(unix)]
|
||
#[tokio::test]
|
||
async fn mongodb_agent_keeps_all_writes_blocked_after_sql_confirmation() {
|
||
let temp_dir = tempfile::tempdir().unwrap();
|
||
let storage = Storage::open(&temp_dir.path().join("storage.db")).await.unwrap();
|
||
let state = Arc::new(AppState::new(storage));
|
||
let permissions = AgentSqlPermissions {
|
||
allow_writes: true,
|
||
allow_dangerous: true,
|
||
confirmed_write_sql: Some("SQL confirmation does not grant MongoDB writes".to_string()),
|
||
};
|
||
|
||
for (index, source) in [
|
||
"db.items.insertOne({name: 'test'})",
|
||
"db.items.updateMany({tenant: 7}, {$set: {active: false}})",
|
||
"db.items.deleteMany({tenant: 7})",
|
||
"db.items.createIndex({tenant: 1})",
|
||
r#"db.items.aggregate([{"$out":"items_backup"}])"#,
|
||
]
|
||
.into_iter()
|
||
.enumerate()
|
||
{
|
||
let call = ToolCall {
|
||
id: format!("mongo-write-{index}"),
|
||
name: "execute_query".to_string(),
|
||
arguments: json!({ "sql": source }),
|
||
provider_payload: None,
|
||
};
|
||
let result =
|
||
execute_tool(&call, &state, "mongo-1", "benchmark", None, &DatabaseType::MongoDb, permissions.clone())
|
||
.await;
|
||
|
||
assert!(result.is_error, "{source}: {}", result.content);
|
||
assert!(result.content.contains("read-only"), "{source}: {}", result.content);
|
||
}
|
||
}
|
||
|
||
#[test]
|
||
fn confirmed_sql_permissions_update_execute_query_contract() {
|
||
let tools = all_tools(
|
||
DatabaseType::Mysql,
|
||
AgentSqlPermissions { allow_writes: true, allow_dangerous: true, confirmed_write_sql: None },
|
||
);
|
||
let execute_query = tools.iter().find(|tool| tool.name == "execute_query").unwrap();
|
||
|
||
assert!(execute_query.description.contains("explicitly confirmed"));
|
||
assert!(execute_query.description.contains("DDL"));
|
||
}
|
||
|
||
#[test]
|
||
fn sql_permissions_keep_writes_blocked_until_confirmation() {
|
||
assert!(!sql_risk_allowed(SqlRisk::Write, AgentSqlPermissions::default()));
|
||
assert!(!sql_risk_allowed(SqlRisk::Ddl, AgentSqlPermissions::default()));
|
||
assert!(sql_risk_allowed(
|
||
SqlRisk::Ddl,
|
||
AgentSqlPermissions { allow_writes: true, allow_dangerous: true, confirmed_write_sql: None }
|
||
));
|
||
assert!(!sql_risk_allowed(
|
||
SqlRisk::Transaction,
|
||
AgentSqlPermissions { allow_writes: true, allow_dangerous: true, confirmed_write_sql: None }
|
||
));
|
||
}
|
||
|
||
#[test]
|
||
fn oracle_agent_tools_include_explain_query() {
|
||
let tools = all_tools(DatabaseType::Oracle, AgentSqlPermissions::default());
|
||
let names: Vec<&str> = tools.iter().map(|tool| tool.name).collect();
|
||
|
||
assert!(names.contains(&"explain_query"));
|
||
}
|
||
|
||
fn query_result(columns: Vec<&str>, rows: Vec<Vec<serde_json::Value>>, affected_rows: u64) -> QueryResult {
|
||
QueryResult {
|
||
columns: columns.into_iter().map(str::to_string).collect(),
|
||
column_types: Vec::new(),
|
||
column_sortables: Vec::new(),
|
||
spatial_columns: Vec::new(),
|
||
spatial_values: Vec::new(),
|
||
rows,
|
||
affected_rows,
|
||
execution_time_ms: 1,
|
||
truncated: false,
|
||
session_id: None,
|
||
has_more: false,
|
||
elasticsearch_raw_body: None,
|
||
messages: Vec::new(),
|
||
}
|
||
}
|
||
|
||
#[test]
|
||
fn query_result_formatter_reports_dml_affected_rows() {
|
||
let result = query_result(vec![], vec![], 2);
|
||
|
||
assert_eq!(
|
||
format_query_result_as_text(&result, 50, QueryCellWindow::default()).unwrap(),
|
||
"Query executed. 2 row(s) affected."
|
||
);
|
||
}
|
||
|
||
#[test]
|
||
fn query_result_formatter_distinguishes_zero_row_dml_from_an_empty_result_set() {
|
||
let dml = query_result(vec![], vec![], 0);
|
||
let returning = query_result(vec!["id", "name"], vec![], 0);
|
||
|
||
assert_eq!(
|
||
format_query_result_as_text(&dml, 50, QueryCellWindow::default()).unwrap(),
|
||
"Query executed. 0 row(s) affected."
|
||
);
|
||
assert_eq!(
|
||
format_query_result_as_text(&returning, 50, QueryCellWindow::default()).unwrap(),
|
||
"| id | name |\n|---|---|\n(0 rows, 1ms)"
|
||
);
|
||
}
|
||
|
||
#[test]
|
||
fn query_result_formatter_renders_returning_rows() {
|
||
let result =
|
||
query_result(vec!["id", "name"], vec![vec![serde_json::json!(5), serde_json::json!("returning")]], 0);
|
||
|
||
assert_eq!(
|
||
format_query_result_as_text(&result, 50, QueryCellWindow::default()).unwrap(),
|
||
"| id | name |\n|---|---|\n| 5 | returning |\n(1 rows, 1ms)"
|
||
);
|
||
}
|
||
|
||
#[test]
|
||
fn query_result_formatter_marks_the_default_character_window() {
|
||
let value = format!("{}DBX_ISSUE_5620_SENTINEL", "A".repeat(200));
|
||
let result = query_result(vec!["message"], vec![vec![serde_json::json!(value)]], 0);
|
||
|
||
let output = format_query_result_as_text(&result, 50, QueryCellWindow::from_options(None, None)).unwrap();
|
||
|
||
assert!(output.contains(&format!("{}... [chars 0..200; next cell_char_offset=200]", "A".repeat(200))));
|
||
assert!(!output.contains("DBX_ISSUE_5620_SENTINEL"));
|
||
}
|
||
|
||
#[test]
|
||
fn query_result_formatter_supports_expanded_and_sliding_character_windows() {
|
||
let value = format!("{}DBX_ISSUE_5620_SENTINEL{}", "A".repeat(200), "Z".repeat(20));
|
||
let result = query_result(vec!["message"], vec![vec![serde_json::json!(value)]], 0);
|
||
|
||
let expanded =
|
||
format_query_result_as_text(&result, 50, QueryCellWindow::from_options(None, Some(400))).unwrap();
|
||
assert!(expanded.contains("DBX_ISSUE_5620_SENTINEL"));
|
||
assert!(!expanded.contains("next cell_char_offset"));
|
||
|
||
let sliding =
|
||
format_query_result_as_text(&result, 50, QueryCellWindow::from_options(Some(200), Some(23))).unwrap();
|
||
assert!(sliding.contains("...DBX_ISSUE_5620_SENTINEL... [chars 200..223; next cell_char_offset=223]"));
|
||
}
|
||
|
||
#[test]
|
||
fn query_result_formatter_counts_unicode_characters_in_windows() {
|
||
let result = query_result(vec!["message"], vec![vec![serde_json::json!("甲乙丙丁戊己庚辛")]], 0);
|
||
|
||
let output = format_query_result_as_text(&result, 50, QueryCellWindow::from_options(Some(2), Some(3))).unwrap();
|
||
|
||
assert!(output.contains("...丙丁戊... [chars 2..5; next cell_char_offset=5]"));
|
||
}
|
||
|
||
#[test]
|
||
fn query_cell_window_clamps_explicit_bounds() {
|
||
assert_eq!(QueryCellWindow::from_options(None, None), QueryCellWindow::default());
|
||
assert_eq!(
|
||
QueryCellWindow::from_options(Some(u64::MAX), Some(0)),
|
||
QueryCellWindow { offset: 1_000_000, limit: 1 }
|
||
);
|
||
assert_eq!(
|
||
QueryCellWindow::from_options(Some(1_000_001), Some(u64::MAX)),
|
||
QueryCellWindow { offset: 1_000_000, limit: 4_000 }
|
||
);
|
||
}
|
||
|
||
#[test]
|
||
fn query_result_formatter_appends_server_messages() {
|
||
let mut dml = query_result(vec![], vec![], 2);
|
||
dml.messages = vec![
|
||
QueryMessage {
|
||
severity: "notice".to_string(),
|
||
message: "hello world".to_string(),
|
||
code: Some("00000".to_string()),
|
||
detail: None,
|
||
hint: Some("use a table".to_string()),
|
||
},
|
||
QueryMessage {
|
||
severity: "WARNING".to_string(),
|
||
message: "careful".to_string(),
|
||
code: None,
|
||
detail: None,
|
||
hint: None,
|
||
},
|
||
];
|
||
assert_eq!(
|
||
format_query_result_as_text(&dml, 50, QueryCellWindow::default()).unwrap(),
|
||
"Query executed. 2 row(s) affected.\n\nServer messages:\n- NOTICE: hello world (code: 00000, hint: use a table)\n- WARNING: careful"
|
||
);
|
||
|
||
let mut result = query_result(vec!["id"], vec![vec![serde_json::json!(1)]], 0);
|
||
result.messages = vec![QueryMessage {
|
||
severity: "INFO".to_string(),
|
||
message: "print output".to_string(),
|
||
code: None,
|
||
detail: None,
|
||
hint: None,
|
||
}];
|
||
assert_eq!(
|
||
format_query_result_as_text(&result, 50, QueryCellWindow::default()).unwrap(),
|
||
"| id |\n|---|\n| 1 |\n(1 rows, 1ms)\n\nServer messages:\n- INFO: print output"
|
||
);
|
||
}
|
||
|
||
#[test]
|
||
fn sample_data_sql_uses_database_identifier_and_limit_syntax() {
|
||
assert_eq!(
|
||
build_sample_data_sql(&DatabaseType::Mysql, Some("app"), "sys_tenant", 20),
|
||
"SELECT * FROM `app`.`sys_tenant` LIMIT 20;"
|
||
);
|
||
assert_eq!(
|
||
build_sample_data_sql(&DatabaseType::Postgres, Some("public"), "sys_tenant", 20),
|
||
"SELECT * FROM \"public\".\"sys_tenant\" LIMIT 20;"
|
||
);
|
||
assert_eq!(
|
||
build_sample_data_sql(&DatabaseType::SqlServer, Some("dbo"), "sys_tenant", 20),
|
||
"SELECT TOP (20) * FROM [dbo].[sys_tenant]"
|
||
);
|
||
assert_eq!(
|
||
build_sample_data_sql(&DatabaseType::Oracle, Some("APP"), "SYS_TENANT", 20),
|
||
"SELECT * FROM (SELECT * FROM \"APP\".\"SYS_TENANT\") WHERE ROWNUM <= 20"
|
||
);
|
||
}
|
||
|
||
#[test]
|
||
fn selected_schema_overrides_the_tool_schema_argument() {
|
||
let call = ToolCall {
|
||
id: "call-1".to_string(),
|
||
name: "list_tables".to_string(),
|
||
arguments: serde_json::json!({ "schema": "OTHER" }),
|
||
provider_payload: None,
|
||
};
|
||
|
||
assert_eq!(effective_schema(&call, Some("REPORTING")).as_deref(), Some("REPORTING"));
|
||
assert_eq!(effective_schema(&call, None).as_deref(), Some("OTHER"));
|
||
}
|
||
|
||
#[cfg(unix)]
|
||
#[tokio::test]
|
||
async fn dameng_agent_queries_and_confirmed_writes_use_selected_schema() {
|
||
let temp_dir = tempfile::tempdir().unwrap();
|
||
let record_path = temp_dir.path().join("agent-requests.jsonl");
|
||
let (client, _script) = spawn_recording_agent(&record_path).await;
|
||
let storage = Storage::open(&temp_dir.path().join("storage.db")).await.unwrap();
|
||
let state = Arc::new(AppState::new(storage));
|
||
let connection = agent_test_connection("dameng-1", "Dameng", DatabaseType::Dameng, "APPDB");
|
||
state.configs.write().await.insert(connection.id.clone(), connection);
|
||
state.connections.write().await.insert("dameng-1:APPDB".to_string(), PoolKind::agent(client));
|
||
|
||
let read = ToolCall {
|
||
id: "read".to_string(),
|
||
name: "execute_query".to_string(),
|
||
arguments: json!({ "sql": "SELECT * FROM orders" }),
|
||
provider_payload: None,
|
||
};
|
||
let read_result = execute_tool(
|
||
&read,
|
||
&state,
|
||
"dameng-1",
|
||
"APPDB",
|
||
Some("REPORTING"),
|
||
&DatabaseType::Dameng,
|
||
AgentSqlPermissions::default(),
|
||
)
|
||
.await;
|
||
assert!(!read_result.is_error, "{}", read_result.content);
|
||
|
||
let confirmed_sql = "DELETE FROM orders WHERE id = 1";
|
||
let write = ToolCall {
|
||
id: "write".to_string(),
|
||
name: "execute_query".to_string(),
|
||
arguments: json!({ "sql": confirmed_sql }),
|
||
provider_payload: None,
|
||
};
|
||
let write_result = execute_tool(
|
||
&write,
|
||
&state,
|
||
"dameng-1",
|
||
"APPDB",
|
||
Some("REPORTING"),
|
||
&DatabaseType::Dameng,
|
||
confirmed_write_sql_permissions(false, true, Some(confirmed_sql.to_string())),
|
||
)
|
||
.await;
|
||
assert!(!write_result.is_error, "{}", write_result.content);
|
||
|
||
let requests = std::fs::read_to_string(&record_path)
|
||
.unwrap()
|
||
.lines()
|
||
.map(|line| serde_json::from_str::<serde_json::Value>(line).unwrap())
|
||
.filter(|request| request["method"] == "execute_query")
|
||
.collect::<Vec<_>>();
|
||
assert_eq!(requests.len(), 2);
|
||
assert_eq!(requests[0]["params"]["sql"], "SELECT * FROM orders");
|
||
assert_eq!(requests[1]["params"]["sql"], confirmed_sql);
|
||
for request in requests {
|
||
assert_eq!(request["params"]["database"], "APPDB");
|
||
assert_eq!(request["params"]["schema"], "REPORTING");
|
||
}
|
||
}
|
||
|
||
#[cfg(unix)]
|
||
#[tokio::test]
|
||
async fn mysql_agent_allows_show_triggers_without_write_confirmation() {
|
||
let temp_dir = tempfile::tempdir().unwrap();
|
||
let record_path = temp_dir.path().join("agent-requests.jsonl");
|
||
let (client, _script) = spawn_recording_agent(&record_path).await;
|
||
let storage = Storage::open(&temp_dir.path().join("storage.db")).await.unwrap();
|
||
let state = Arc::new(AppState::new(storage));
|
||
let connection = agent_test_connection("mysql-1", "MySQL", DatabaseType::Mysql, "rs_main");
|
||
state.configs.write().await.insert(connection.id.clone(), connection);
|
||
state.connections.write().await.insert("mysql-1:rs_main".to_string(), PoolKind::agent(client));
|
||
|
||
let sql = "SHOW TRIGGERS FROM `rs_main` LIKE 'trg_order_items_after_%';";
|
||
let call = ToolCall {
|
||
id: "show-triggers".to_string(),
|
||
name: "execute_query".to_string(),
|
||
arguments: json!({ "sql": sql }),
|
||
provider_payload: None,
|
||
};
|
||
let result = execute_tool(
|
||
&call,
|
||
&state,
|
||
"mysql-1",
|
||
"rs_main",
|
||
None,
|
||
&DatabaseType::Mysql,
|
||
AgentSqlPermissions::default(),
|
||
)
|
||
.await;
|
||
|
||
assert!(!result.is_error, "{}", result.content);
|
||
let request = std::fs::read_to_string(&record_path)
|
||
.unwrap()
|
||
.lines()
|
||
.map(|line| serde_json::from_str::<serde_json::Value>(line).unwrap())
|
||
.find(|request| request["method"] == "execute_query")
|
||
.unwrap();
|
||
assert_eq!(request["params"]["sql"], sql);
|
||
}
|
||
|
||
#[test]
|
||
fn build_browse_query_qdrant() {
|
||
let q = build_browse_query(&DatabaseType::Qdrant, "articles", "", 10).unwrap();
|
||
assert!(q.starts_with("POST /collections/articles/points/scroll"));
|
||
assert!(q.contains("\"limit\":10"));
|
||
assert!(q.contains("\"with_payload\":true"));
|
||
}
|
||
|
||
#[test]
|
||
fn build_browse_query_qdrant_encodes_url_chars() {
|
||
let q = build_browse_query(&DatabaseType::Qdrant, "my collection", "", 10).unwrap();
|
||
assert!(q.starts_with("POST /collections/my%20collection/points/scroll"));
|
||
}
|
||
|
||
#[test]
|
||
fn build_browse_query_milvus() {
|
||
let q = build_browse_query(&DatabaseType::Milvus, "articles", "custom_db", 20).unwrap();
|
||
assert!(q.starts_with("POST /v2/vectordb/entities/query"));
|
||
assert!(q.contains("\"dbName\":\"custom_db\""));
|
||
assert!(q.contains("\"collectionName\":\"articles\""));
|
||
assert!(q.contains("\"limit\":20"));
|
||
assert!(!q.contains("outputFields"));
|
||
}
|
||
|
||
#[test]
|
||
fn build_browse_query_milvus_default_db() {
|
||
let q = build_browse_query(&DatabaseType::Milvus, "articles", "", 10).unwrap();
|
||
assert!(q.contains("\"dbName\":\"default\""));
|
||
}
|
||
|
||
#[test]
|
||
fn build_browse_query_weaviate() {
|
||
let q = build_browse_query(&DatabaseType::Weaviate, "Articles", "", 5).unwrap();
|
||
assert_eq!(q, "GET /v1/objects?class=Articles&limit=5");
|
||
}
|
||
|
||
#[test]
|
||
fn build_browse_query_weaviate_encodes_query_param() {
|
||
let q = build_browse_query(&DatabaseType::Weaviate, "A&B", "", 5).unwrap();
|
||
assert!(q.contains("class=A%26B"));
|
||
}
|
||
|
||
#[test]
|
||
fn build_browse_query_chromadb() {
|
||
let q = build_browse_query(&DatabaseType::ChromaDb, "uuid-123", "", 15).unwrap();
|
||
assert!(
|
||
q.starts_with("POST /api/v2/tenants/default_tenant/databases/default_database/collections/uuid-123/get")
|
||
);
|
||
assert!(q.contains("\"limit\":15"));
|
||
}
|
||
|
||
#[test]
|
||
fn build_browse_query_rejects_empty_collection() {
|
||
let result = build_browse_query(&DatabaseType::Qdrant, " ", "", 10);
|
||
assert!(result.is_err());
|
||
}
|
||
|
||
#[test]
|
||
fn build_browse_query_rejects_unsupported_type() {
|
||
let result = build_browse_query(&DatabaseType::Postgres, "articles", "", 10);
|
||
assert!(result.is_err());
|
||
}
|
||
|
||
// ── SQL confirmation binding tests ──────────────────────────────────────
|
||
|
||
#[test]
|
||
fn normalize_sql_only_trims_outer_whitespace() {
|
||
assert_eq!(normalize_sql_for_confirmation(" CREATE TABLE users (id INT);\n"), "CREATE TABLE users (id INT);");
|
||
}
|
||
|
||
#[test]
|
||
fn confirmed_sql_binding_rejects_quoted_identifier_case_change() {
|
||
let confirmed = Some("DROP TABLE \"Users\"".to_string());
|
||
assert!(!sql_matches_confirmed_write("DROP TABLE \"users\"", &confirmed));
|
||
}
|
||
|
||
#[test]
|
||
fn confirmed_sql_binding_rejects_keyword_case_or_reformatting() {
|
||
let confirmed = Some("DELETE FROM AuditLog WHERE id = 1".to_string());
|
||
assert!(!sql_matches_confirmed_write("delete from AuditLog where id = 1", &confirmed));
|
||
assert!(!sql_matches_confirmed_write("DELETE FROM AuditLog\nWHERE id = 1", &confirmed));
|
||
}
|
||
|
||
#[test]
|
||
fn confirmed_sql_binding_rejects_line_comment_newline_change() {
|
||
let confirmed = Some("DELETE FROM users -- only one record\nWHERE id = 1".to_string());
|
||
assert!(!sql_matches_confirmed_write("DELETE FROM users -- only one record WHERE id = 1", &confirmed));
|
||
}
|
||
|
||
#[test]
|
||
fn sql_matches_when_no_confirmation_required() {
|
||
assert!(sql_matches_confirmed_write("DELETE FROM users WHERE id = 1", &None));
|
||
}
|
||
|
||
#[test]
|
||
fn sql_matches_when_only_outer_whitespace_differs() {
|
||
// The confirmed statement itself must be unchanged; only surrounding
|
||
// whitespace is ignored before comparison.
|
||
let confirmed = Some("CREATE TABLE users (id INT)".to_string());
|
||
assert!(sql_matches_confirmed_write(" CREATE TABLE users (id INT) ", &confirmed,));
|
||
}
|
||
|
||
#[test]
|
||
fn sql_mismatch_rejected_when_executed_differs_from_confirmed() {
|
||
let confirmed = Some("CREATE TABLE users (id INT)".to_string());
|
||
assert!(!sql_matches_confirmed_write("DROP TABLE users", &confirmed,));
|
||
}
|
||
|
||
#[test]
|
||
fn confirmed_sql_binding_rejects_same_table_different_statement() {
|
||
let confirmed = Some("INSERT INTO users (id, name) VALUES (1, 'test')".to_string());
|
||
assert!(!sql_matches_confirmed_write("DELETE FROM users WHERE id = 1", &confirmed,));
|
||
}
|
||
|
||
#[test]
|
||
fn confirmed_sql_binding_rejects_different_case_in_data_values() {
|
||
// Confirmed VALUES ('Alice') must NOT match executed VALUES ('alice').
|
||
// String-literal data values are preserved verbatim.
|
||
let confirmed = Some("INSERT INTO users (name) VALUES ('Alice')".to_string());
|
||
assert!(!sql_matches_confirmed_write("INSERT INTO users (name) VALUES ('alice')", &confirmed,));
|
||
}
|
||
|
||
#[test]
|
||
fn confirmed_sql_binding_rejects_different_whitespace_in_data_values() {
|
||
// Confirmed VALUES ('a b') must NOT match executed VALUES ('a b').
|
||
let confirmed = Some("INSERT INTO t (c) VALUES ('a b')".to_string());
|
||
assert!(!sql_matches_confirmed_write("INSERT INTO t (c) VALUES ('a b')", &confirmed,));
|
||
}
|
||
|
||
#[test]
|
||
fn confirmed_sql_default_is_none() {
|
||
let perms = AgentSqlPermissions::default();
|
||
assert_eq!(perms.confirmed_write_sql, None);
|
||
}
|
||
|
||
#[test]
|
||
fn confirmed_write_sql_diagnostics_redact_sensitive_literals() {
|
||
let confirmed_sql = "CREATE USER app_user WITH PASSWORD 'secret-123'";
|
||
let diagnostic = crate::sql_diagnostics::redact_sql_for_diagnostics(confirmed_sql);
|
||
|
||
assert!(!diagnostic.contains("secret-123"));
|
||
assert!(diagnostic.contains("'[REDACTED]'"));
|
||
}
|
||
|
||
#[test]
|
||
fn confirmed_write_permissions_bind_only_a_nonproduction_nonempty_confirmation() {
|
||
let confirmed_sql = Some("DELETE FROM sessions WHERE id = 7".to_string());
|
||
let permissions = confirmed_write_sql_permissions(false, true, confirmed_sql.clone());
|
||
|
||
assert!(permissions.allow_writes);
|
||
assert!(permissions.allow_dangerous);
|
||
assert_eq!(permissions.confirmed_write_sql, confirmed_sql);
|
||
assert!(!sql_matches_confirmed_write("DROP TABLE sessions", &permissions.confirmed_write_sql));
|
||
}
|
||
|
||
#[test]
|
||
fn confirmed_write_permissions_fail_closed_for_production_or_empty_confirmation() {
|
||
for (production_database, confirmed_write_sql) in
|
||
[(true, Some("DELETE FROM sessions".to_string())), (false, None), (false, Some(" \n".to_string()))]
|
||
{
|
||
let permissions = confirmed_write_sql_permissions(production_database, true, confirmed_write_sql);
|
||
assert!(!permissions.allow_writes);
|
||
assert!(!permissions.allow_dangerous);
|
||
assert_eq!(permissions.confirmed_write_sql, None);
|
||
}
|
||
}
|
||
|
||
#[test]
|
||
fn confirmed_write_target_binding_rejects_replay_to_another_scope() {
|
||
let confirmed_sql = Some("DELETE FROM sessions WHERE id = 7".to_string());
|
||
let matching = verify_confirmed_target(
|
||
Some(true),
|
||
confirmed_sql.clone(),
|
||
Some("connection-1".to_string()),
|
||
Some("app".to_string()),
|
||
Some("public".to_string()),
|
||
"connection-1",
|
||
"app",
|
||
Some("public"),
|
||
);
|
||
assert_eq!(matching, (Some(true), confirmed_sql.clone()));
|
||
|
||
for (connection_id, database, schema) in [
|
||
("connection-2", "app", Some("public")),
|
||
("connection-1", "audit", Some("public")),
|
||
("connection-1", "app", Some("private")),
|
||
] {
|
||
let rejected = verify_confirmed_target(
|
||
Some(true),
|
||
confirmed_sql.clone(),
|
||
Some("connection-1".to_string()),
|
||
Some("app".to_string()),
|
||
Some("public".to_string()),
|
||
connection_id,
|
||
database,
|
||
schema,
|
||
);
|
||
assert_eq!(rejected, (Some(false), None));
|
||
}
|
||
}
|
||
|
||
#[test]
|
||
fn confirmed_sql_preserved_through_permission_construction() {
|
||
let perms = AgentSqlPermissions {
|
||
allow_writes: true,
|
||
allow_dangerous: true,
|
||
confirmed_write_sql: Some("CREATE TABLE t (c INT)".to_string()),
|
||
};
|
||
assert_eq!(perms.confirmed_write_sql.as_deref(), Some("CREATE TABLE t (c INT)"));
|
||
}
|
||
|
||
#[test]
|
||
fn write_allowed_when_confirmed_sql_is_none_and_writes_enabled() {
|
||
// confirmed_write_sql=None + allow_writes=true: write SQL is allowed
|
||
// (the check passes because sql_matches_confirmed_write returns true
|
||
// when no confirmation is required). This documents the current
|
||
// contract — the frontend is responsible for only sending
|
||
// allow_write_sql=true when a specific SQL was confirmed.
|
||
assert!(sql_matches_confirmed_write("INSERT INTO t VALUES (1)", &None));
|
||
}
|
||
|
||
// ── get_current_time tests ────────────────────────────────────────────
|
||
|
||
#[test]
|
||
fn get_current_time_is_in_all_tools_postgres() {
|
||
let tools = all_tools(DatabaseType::Postgres, AgentSqlPermissions::default());
|
||
let names: Vec<&str> = tools.iter().map(|tool| tool.name).collect();
|
||
assert!(names.contains(&"get_current_time"), "get_current_time missing from all_tools(Postgres)");
|
||
}
|
||
|
||
#[test]
|
||
fn get_current_time_is_in_read_only_tools_postgres() {
|
||
let tools = read_only_tools(DatabaseType::Postgres);
|
||
let names: Vec<&str> = tools.iter().map(|tool| tool.name).collect();
|
||
assert!(names.contains(&"get_current_time"), "get_current_time missing from read_only_tools(Postgres)");
|
||
}
|
||
|
||
#[test]
|
||
fn get_current_time_is_in_all_tools_qdrant() {
|
||
let tools = all_tools(DatabaseType::Qdrant, AgentSqlPermissions::default());
|
||
let names: Vec<&str> = tools.iter().map(|tool| tool.name).collect();
|
||
assert!(names.contains(&"get_current_time"), "get_current_time missing from all_tools(Qdrant)");
|
||
}
|
||
|
||
#[test]
|
||
fn get_current_time_is_in_read_only_tools_qdrant() {
|
||
let tools = read_only_tools(DatabaseType::Qdrant);
|
||
let names: Vec<&str> = tools.iter().map(|tool| tool.name).collect();
|
||
assert!(names.contains(&"get_current_time"), "get_current_time missing from read_only_tools(Qdrant)");
|
||
}
|
||
|
||
#[test]
|
||
fn get_current_time_tool_is_read_only_and_parallel_ok() {
|
||
let tool = get_current_time_tool();
|
||
assert!(tool.read_only, "get_current_time must be read_only");
|
||
assert!(tool.parallel_ok, "get_current_time must be parallel_ok");
|
||
}
|
||
|
||
#[test]
|
||
fn execute_get_current_time_returns_valid_timestamps() {
|
||
let before_secs = chrono::Utc::now().timestamp();
|
||
let tool_call = ToolCall {
|
||
id: "call-gct".to_string(),
|
||
name: "get_current_time".to_string(),
|
||
arguments: serde_json::json!({ "utc_offset_minutes": 480, "timezone": "Asia/Shanghai" }),
|
||
provider_payload: None,
|
||
};
|
||
let result = execute_get_current_time(&tool_call).expect("get_current_time should succeed");
|
||
let after_secs = chrono::Utc::now().timestamp();
|
||
|
||
let parsed: serde_json::Value =
|
||
serde_json::from_str(&result).expect("get_current_time result should be valid JSON");
|
||
|
||
let utc_str = parsed["utc"].as_str().expect("utc field should be a string");
|
||
let local_str = parsed["local"].as_str().expect("local field should be a string");
|
||
|
||
// Parse as RFC3339 timestamps.
|
||
let _utc_dt = chrono::DateTime::parse_from_rfc3339(utc_str).expect("utc should be valid RFC3339");
|
||
let local_dt = chrono::DateTime::parse_from_rfc3339(local_str).expect("local should be valid RFC3339");
|
||
|
||
// Verify UTC is within tolerance.
|
||
let utc_dt_utc = chrono::DateTime::parse_from_rfc3339(utc_str)
|
||
.expect("utc should parse as rfc3339")
|
||
.with_timezone(&chrono::Utc);
|
||
let utc_ts = utc_dt_utc.timestamp();
|
||
assert!(
|
||
utc_ts >= before_secs && utc_ts <= after_secs + 1,
|
||
"UTC timestamp {utc_ts} should be within [{before_secs}, {after_secs}+1]"
|
||
);
|
||
|
||
// Verify local is within tolerance (converted to UTC).
|
||
let local_ts = local_dt.with_timezone(&chrono::Utc).timestamp();
|
||
assert!(
|
||
local_ts >= before_secs && local_ts <= after_secs + 1,
|
||
"Local timestamp {local_ts} (UTC) should be within [{before_secs}, {after_secs}+1]"
|
||
);
|
||
|
||
// utc_offset_minutes should match the offset in local.
|
||
let offset_minutes =
|
||
parsed["utc_offset_minutes"].as_i64().expect("utc_offset_minutes should be an integer") as i32;
|
||
let local_offset_secs = local_dt.offset().local_minus_utc();
|
||
// The offset from the RFC3339 timestamp should match utc_offset_minutes * 60.
|
||
assert_eq!(
|
||
local_offset_secs / 60,
|
||
offset_minutes,
|
||
"utc_offset_minutes {offset_minutes} does not match local offset {}",
|
||
local_offset_secs / 60
|
||
);
|
||
assert_eq!(offset_minutes, 480);
|
||
assert_eq!(parsed["timezone"], "Asia/Shanghai");
|
||
|
||
// readable should be a non-empty string.
|
||
let readable = parsed["readable"].as_str().expect("readable field should be a string");
|
||
assert!(!readable.is_empty(), "readable should not be empty");
|
||
}
|
||
|
||
#[test]
|
||
fn execute_get_current_time_defaults_to_utc_without_client_context() {
|
||
let tool_call = ToolCall {
|
||
id: "call-gct".to_string(),
|
||
name: "get_current_time".to_string(),
|
||
arguments: serde_json::json!({}),
|
||
provider_payload: None,
|
||
};
|
||
let result = execute_get_current_time(&tool_call).expect("get_current_time should succeed");
|
||
let parsed: serde_json::Value = serde_json::from_str(&result).unwrap();
|
||
|
||
assert_eq!(parsed["utc_offset_minutes"], 0);
|
||
assert_eq!(parsed["timezone"], "UTC");
|
||
assert!(parsed["local"].as_str().unwrap().ends_with("+00:00"));
|
||
}
|
||
|
||
#[test]
|
||
fn execute_get_current_time_labels_offset_when_timezone_name_is_missing() {
|
||
let tool_call = ToolCall {
|
||
id: "call-gct".to_string(),
|
||
name: "get_current_time".to_string(),
|
||
arguments: serde_json::json!({ "utc_offset_minutes": -300 }),
|
||
provider_payload: None,
|
||
};
|
||
let result = execute_get_current_time(&tool_call).expect("get_current_time should succeed");
|
||
let parsed: serde_json::Value = serde_json::from_str(&result).unwrap();
|
||
|
||
assert_eq!(parsed["timezone"], "UTC-05:00");
|
||
assert!(parsed["local"].as_str().unwrap().ends_with("-05:00"));
|
||
}
|
||
|
||
#[test]
|
||
fn execute_tool_get_current_time_is_not_error() {
|
||
// Test via execute_tool dispatch. All args can be dummy since the tool
|
||
// does not use any of them.
|
||
let temp_dir = tempfile::tempdir().unwrap();
|
||
let rt = tokio::runtime::Runtime::new().unwrap();
|
||
rt.block_on(async {
|
||
let storage = crate::storage::Storage::open(&temp_dir.path().join("storage.db")).await.unwrap();
|
||
let state = std::sync::Arc::new(crate::connection::AppState::new(storage));
|
||
let tool_call = ToolCall {
|
||
id: "call-gct".to_string(),
|
||
name: "get_current_time".to_string(),
|
||
arguments: serde_json::json!({}),
|
||
provider_payload: None,
|
||
};
|
||
let result = execute_tool(
|
||
&tool_call,
|
||
&state,
|
||
"dummy",
|
||
"dummy",
|
||
None,
|
||
&DatabaseType::Postgres,
|
||
AgentSqlPermissions::default(),
|
||
)
|
||
.await;
|
||
assert!(!result.is_error, "execute_tool get_current_time should not error: {}", result.content);
|
||
let parsed: serde_json::Value = serde_json::from_str(&result.content).expect("result should be valid JSON");
|
||
assert!(parsed["utc"].is_string());
|
||
assert!(parsed["local"].is_string());
|
||
assert!(parsed["readable"].is_string());
|
||
});
|
||
}
|
||
}
|