2025-10-11 20:02:14 -03:00
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use diesel::pg::PgConnection;
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2025-10-11 12:29:03 -03:00
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use diesel::prelude::*;
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2025-10-06 10:30:17 -03:00
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use log::{error, info};
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use rhai::Dynamic;
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use rhai::Engine;
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use serde_json::{json, Value};
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2025-10-11 12:29:03 -03:00
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use crate::shared::models::UserSession;
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use crate::shared::state::AppState;
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2025-10-06 10:30:17 -03:00
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use crate::shared::utils;
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use crate::shared::utils::to_array;
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2025-10-11 20:02:14 -03:00
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pub fn find_keyword(state: &AppState, _user: UserSession, engine: &mut Engine) {
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let connection = state.conn.clone();
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2025-10-11 20:02:14 -03:00
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engine
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.register_custom_syntax(&["FIND", "$expr$", ",", "$expr$"], false, {
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move |context, inputs| {
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let table_name = context.eval_expression_tree(&inputs[0])?;
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let filter = context.eval_expression_tree(&inputs[1])?;
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let mut binding = connection.lock().unwrap();
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// Use the current async context instead of creating a new runtime
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let binding2 = table_name.to_string();
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let binding3 = filter.to_string();
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// Since execute_find is async but we're in a sync context, we need to block on it
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let result = tokio::task::block_in_place(|| {
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tokio::runtime::Handle::current()
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.block_on(async { execute_find(&mut binding, &binding2, &binding3).await })
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})
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.map_err(|e| format!("DB error: {}", e))?;
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2025-10-11 20:02:14 -03:00
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if let Some(results) = result.get("results") {
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let array = to_array(utils::json_value_to_dynamic(results));
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Ok(Dynamic::from(array))
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} else {
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Err("No results".into())
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}
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2025-10-06 10:30:17 -03:00
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}
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2025-10-11 20:02:14 -03:00
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})
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.unwrap();
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}
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2025-10-11 20:02:14 -03:00
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pub async fn execute_find(
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conn: &mut PgConnection,
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table_str: &str,
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filter_str: &str,
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) -> Result<Value, String> {
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// Changed to String error like your Actix code
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info!(
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"Starting execute_find with table: {}, filter: {}",
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table_str, filter_str
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);
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2025-10-11 20:02:14 -03:00
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let (where_clause, params) = utils::parse_filter(filter_str).map_err(|e| e.to_string())?;
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let query = format!(
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"SELECT * FROM {} WHERE {} LIMIT 10",
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table_str, where_clause
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);
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info!("Executing query: {}", query);
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2025-10-11 12:29:03 -03:00
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2025-10-11 20:02:14 -03:00
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// Execute raw SQL and get raw results
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let raw_result = diesel::sql_query(&query)
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.bind::<diesel::sql_types::Text, _>(¶ms[0])
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.execute(conn)
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.map_err(|e| {
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error!("SQL execution error: {}", e);
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e.to_string()
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})?;
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2025-10-11 20:02:14 -03:00
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info!("Query executed successfully, affected {} rows", raw_result);
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2025-10-11 20:02:14 -03:00
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// For now, create placeholder results since we can't easily deserialize dynamic rows
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let mut results = Vec::new();
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// This is a simplified approach - in a real implementation you'd need to:
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// 1. Query the table schema to know column types
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// 2. Build a proper struct or use a more flexible approach
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// 3. Or use a different database library that supports dynamic queries better
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// Placeholder result for demonstration
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let json_row = serde_json::json!({
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"note": "Dynamic row deserialization not implemented - need table schema"
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});
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results.push(json_row);
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Ok(json!({
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"command": "find",
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"table": table_str,
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"filter": filter_str,
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"results": results
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}))
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}
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