942 lines
35 KiB
Rust
942 lines
35 KiB
Rust
#[cfg(feature = "tasks")]
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use crate::basic::keywords::set_schedule::execute_set_schedule;
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use crate::basic::keywords::table_definition::process_table_definitions;
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use crate::basic::keywords::webhook::execute_webhook_registration;
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use crate::core::shared::models::TriggerKind;
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use crate::core::shared::state::AppState;
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use diesel::QueryableByName;
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// use diesel::sql_types::Text; // Removed unused import
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use diesel::ExpressionMethods;
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use diesel::QueryDsl;
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use diesel::RunQueryDsl;
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use log::{trace, warn};
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use regex::Regex;
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pub mod goto_transform;
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pub mod blocks;
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use serde::{Deserialize, Serialize};
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use std::collections::HashMap;
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use std::collections::HashSet;
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use std::error::Error;
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use std::fs;
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use std::path::Path;
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use std::sync::Arc;
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#[derive(Debug, Clone, Serialize, Deserialize)]
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pub struct ParamDeclaration {
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pub name: String,
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pub param_type: String,
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pub original_type: String,
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pub example: Option<String>,
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pub description: String,
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pub required: bool,
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#[serde(skip_serializing_if = "Option::is_none")]
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pub enum_values: Option<Vec<String>>,
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}
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#[derive(Debug, Clone, Serialize, Deserialize)]
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pub struct ToolDefinition {
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pub name: String,
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pub description: String,
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pub parameters: Vec<ParamDeclaration>,
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pub source_file: String,
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}
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#[derive(Debug, Clone, Serialize, Deserialize)]
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pub struct MCPTool {
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pub name: String,
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pub description: String,
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pub input_schema: MCPInputSchema,
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}
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#[derive(Debug, Clone, Serialize, Deserialize)]
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pub struct MCPInputSchema {
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#[serde(rename = "type")]
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pub schema_type: String,
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pub properties: HashMap<String, MCPProperty>,
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pub required: Vec<String>,
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}
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#[derive(Debug, Clone, Serialize, Deserialize)]
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pub struct MCPProperty {
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#[serde(rename = "type")]
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pub prop_type: String,
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pub description: String,
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#[serde(skip_serializing_if = "Option::is_none")]
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pub example: Option<String>,
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#[serde(skip_serializing_if = "Option::is_none")]
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pub format: Option<String>,
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}
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#[derive(Debug, Clone, Serialize, Deserialize)]
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pub struct OpenAITool {
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#[serde(rename = "type")]
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pub tool_type: String,
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pub function: OpenAIFunction,
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}
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#[derive(Debug, Clone, Serialize, Deserialize)]
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pub struct OpenAIFunction {
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pub name: String,
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pub description: String,
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pub parameters: OpenAIParameters,
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}
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#[derive(Debug, Clone, Serialize, Deserialize)]
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pub struct OpenAIParameters {
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#[serde(rename = "type")]
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pub param_type: String,
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pub properties: HashMap<String, OpenAIProperty>,
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pub required: Vec<String>,
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}
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#[derive(Debug, Clone, Serialize, Deserialize)]
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pub struct OpenAIProperty {
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#[serde(rename = "type")]
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pub prop_type: String,
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pub description: String,
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#[serde(skip_serializing_if = "Option::is_none")]
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pub example: Option<String>,
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#[serde(rename = "enum", skip_serializing_if = "Option::is_none")]
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pub enum_values: Option<Vec<String>>,
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#[serde(skip_serializing_if = "Option::is_none")]
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pub format: Option<String>,
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}
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#[derive(Debug)]
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pub struct BasicCompiler {
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state: Arc<AppState>,
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bot_id: uuid::Uuid,
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previous_schedules: HashSet<String>,
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}
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impl BasicCompiler {
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#[must_use]
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pub fn new(state: Arc<AppState>, bot_id: uuid::Uuid) -> Self {
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Self {
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state,
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bot_id,
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previous_schedules: HashSet::new(),
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}
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}
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pub fn compile_file(
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&mut self,
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source_path: &str,
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output_dir: &str,
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) -> Result<CompilationResult, Box<dyn Error + Send + Sync>> {
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let source_content = fs::read_to_string(source_path)
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.map_err(|e| format!("Failed to read source file: {e}"))?;
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if let Err(e) =
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process_table_definitions(Arc::clone(&self.state), self.bot_id, &source_content)
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{
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log::warn!("Failed to process TABLE definitions: {}", e);
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}
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let tool_def = self.parse_tool_definition(&source_content, source_path)?;
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let file_name = Path::new(source_path)
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.file_stem()
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.and_then(|s| s.to_str())
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.ok_or("Invalid file name")?;
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// Generate ADD SUGGESTION commands for enum parameters
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let source_with_suggestions = self.generate_enum_suggestions(&source_content, &tool_def)?;
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let ast_path = format!("{output_dir}/{file_name}.ast");
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let ast_content = self.preprocess_basic(&source_with_suggestions, source_path, self.bot_id)?;
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fs::write(&ast_path, &ast_content).map_err(|e| format!("Failed to write AST file: {e}"))?;
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let (mcp_json, tool_json) = if tool_def.parameters.is_empty() {
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(None, None)
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} else {
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let mcp = Self::generate_mcp_tool(&tool_def)?;
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let openai = Self::generate_openai_tool(&tool_def)?;
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let mcp_path = format!("{output_dir}/{file_name}.mcp.json");
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let tool_path = format!("{output_dir}/{file_name}.tool.json");
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let mcp_json_str = serde_json::to_string_pretty(&mcp)?;
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fs::write(&mcp_path, mcp_json_str)
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.map_err(|e| format!("Failed to write MCP JSON: {e}"))?;
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let tool_json_str = serde_json::to_string_pretty(&openai)?;
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fs::write(&tool_path, tool_json_str)
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.map_err(|e| format!("Failed to write tool JSON: {e}"))?;
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(Some(mcp), Some(openai))
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};
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Ok(CompilationResult {
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mcp_tool: mcp_json,
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openai_tool: tool_json,
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})
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}
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pub fn parse_tool_definition(
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&self,
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source: &str,
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source_path: &str,
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) -> Result<ToolDefinition, Box<dyn Error + Send + Sync>> {
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let mut params = Vec::new();
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let mut description = String::new();
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let lines: Vec<&str> = source.lines().collect();
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let mut i = 0;
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while i < lines.len() {
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let line = lines[i].trim();
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if line.starts_with("PARAM ") {
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if let Some(param) = Self::parse_param_line(line)? {
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params.push(param);
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}
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}
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if line.starts_with("DESCRIPTION ") {
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let desc_start = line.find('"').unwrap_or(0);
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let desc_end = line.rfind('"').unwrap_or(line.len());
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if desc_start < desc_end {
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description = line[desc_start + 1..desc_end].to_string();
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}
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}
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i += 1;
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}
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let tool_name = Path::new(source_path)
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.file_stem()
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.and_then(|s| s.to_str())
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.unwrap_or("unknown")
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.to_string();
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Ok(ToolDefinition {
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name: tool_name,
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description,
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parameters: params,
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source_file: source_path.to_string(),
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})
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}
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fn parse_param_line(
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line: &str,
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) -> Result<Option<ParamDeclaration>, Box<dyn Error + Send + Sync>> {
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let line = line.trim();
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if !line.starts_with("PARAM ") {
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return Ok(None);
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}
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let parts: Vec<&str> = line.split_whitespace().collect();
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if parts.len() < 4 {
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warn!("Invalid PARAM line: {line}");
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return Ok(None);
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}
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let name = parts[1].to_string();
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let as_index = parts.iter().position(|&p| p == "AS");
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let param_type = if let Some(idx) = as_index {
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if idx + 1 < parts.len() {
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parts[idx + 1].to_lowercase()
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} else {
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"string".to_string()
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}
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} else {
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"string".to_string()
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};
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let example = line.find("LIKE").and_then(|like_pos| {
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let rest = &line[like_pos + 4..].trim();
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rest.find('"').and_then(|start| {
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rest[start + 1..]
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.find('"')
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.map(|end| rest[start + 1..start + 1 + end].to_string())
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})
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});
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// Parse ENUM array directly from PARAM statement
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// Syntax: PARAM name AS TYPE ENUM ["value1", "value2", ...]
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let enum_values = if let Some(enum_pos) = line.find("ENUM") {
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let rest = &line[enum_pos + 4..].trim();
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if let Some(start) = rest.find('[') {
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if let Some(end) = rest[start..].find(']') {
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let array_content = &rest[start + 1..start + end];
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// Parse the array elements
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let values: Vec<String> = array_content
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.split(',')
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.map(|s| {
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s.trim()
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.trim_matches('"')
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.trim_matches('\'')
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.to_string()
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})
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.filter(|s| !s.is_empty())
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.collect();
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Some(values)
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} else {
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None
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}
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} else {
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None
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}
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} else {
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None
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};
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let description = if let Some(desc_pos) = line.find("DESCRIPTION") {
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let rest = &line[desc_pos + 11..].trim();
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if let Some(start) = rest.find('"') {
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if let Some(end) = rest[start + 1..].rfind('"') {
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rest[start + 1..start + 1 + end].to_string()
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} else {
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"".to_string()
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}
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} else {
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"".to_string()
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}
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} else {
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"".to_string()
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};
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Ok(Some(ParamDeclaration {
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name,
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param_type: Self::normalize_type(¶m_type),
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original_type: param_type.to_lowercase(),
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example,
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description,
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required: true,
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enum_values,
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}))
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}
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fn normalize_type(basic_type: &str) -> String {
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match basic_type.to_lowercase().as_str() {
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"integer" | "int" | "number" => "integer".to_string(),
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"float" | "double" | "decimal" => "number".to_string(),
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"boolean" | "bool" => "boolean".to_string(),
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"array" | "list" => "array".to_string(),
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"object" | "map" => "object".to_string(),
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// "string", "text", "date", "datetime", and any other type default to string
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_ => "string".to_string(),
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}
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}
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/// Generate ADD SUGGESTION commands for parameters with enum values
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fn generate_enum_suggestions(
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&self,
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source: &str,
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tool_def: &ToolDefinition,
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) -> Result<String, Box<dyn Error + Send + Sync>> {
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let mut result = String::new();
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let mut suggestion_lines = Vec::new();
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// Generate ADD SUGGESTION TEXT commands for each parameter with enum values
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// These will send the enum value as a text message when clicked
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for param in &tool_def.parameters {
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if let Some(ref enum_values) = param.enum_values {
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// For each enum value, create a suggestion button
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for enum_value in enum_values {
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// Use the enum value as both the text to send and the button label
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let suggestion_cmd = format!(
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"ADD SUGGESTION TEXT \"{}\" AS \"{}\"",
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enum_value, enum_value
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);
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suggestion_lines.push(suggestion_cmd);
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}
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}
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}
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// Insert suggestions after the DESCRIPTION line (or at end if no DESCRIPTION)
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let lines: Vec<&str> = source.lines().collect();
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let mut inserted = false;
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for line in lines.iter() {
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result.push_str(line);
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result.push('\n');
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// Insert suggestions after DESCRIPTION line
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if !inserted && line.trim().starts_with("DESCRIPTION ") {
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// Insert suggestions after this line
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for suggestion in &suggestion_lines {
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result.push_str(suggestion);
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result.push('\n');
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}
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inserted = true;
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}
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}
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// If we didn't find a DESCRIPTION line, insert at the end
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if !inserted && !suggestion_lines.is_empty() {
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for suggestion in &suggestion_lines {
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result.push_str(suggestion);
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result.push('\n');
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}
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}
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Ok(result)
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}
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fn generate_mcp_tool(
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tool_def: &ToolDefinition,
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) -> Result<MCPTool, Box<dyn Error + Send + Sync>> {
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let mut properties = HashMap::new();
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let mut required = Vec::new();
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for param in &tool_def.parameters {
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// Add format="date" for DATE type parameters to indicate ISO 8601 format
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let format = if param.original_type == "date" {
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Some("date".to_string())
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} else {
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None
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};
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properties.insert(
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param.name.clone(),
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MCPProperty {
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prop_type: param.param_type.clone(),
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description: param.description.clone(),
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example: param.example.clone(),
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format,
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},
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);
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if param.required {
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required.push(param.name.clone());
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}
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}
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Ok(MCPTool {
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name: tool_def.name.clone(),
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description: tool_def.description.clone(),
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input_schema: MCPInputSchema {
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schema_type: "object".to_string(),
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properties,
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required,
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},
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})
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}
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fn generate_openai_tool(
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tool_def: &ToolDefinition,
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) -> Result<OpenAITool, Box<dyn Error + Send + Sync>> {
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let mut properties = HashMap::new();
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let mut required = Vec::new();
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for param in &tool_def.parameters {
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// Add format="date" for DATE type parameters to indicate ISO 8601 format
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let format = if param.original_type == "date" {
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Some("date".to_string())
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} else {
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None
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};
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properties.insert(
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param.name.clone(),
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OpenAIProperty {
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prop_type: param.param_type.clone(),
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description: param.description.clone(),
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example: param.example.clone(),
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enum_values: param.enum_values.clone(),
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format,
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},
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);
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if param.required {
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required.push(param.name.clone());
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}
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}
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Ok(OpenAITool {
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tool_type: "function".to_string(),
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function: OpenAIFunction {
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name: tool_def.name.clone(),
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description: tool_def.description.clone(),
|
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parameters: OpenAIParameters {
|
|
param_type: "object".to_string(),
|
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properties,
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required,
|
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},
|
|
},
|
|
})
|
|
}
|
|
fn preprocess_basic(
|
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&mut self,
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source: &str,
|
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source_path: &str,
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bot_id: uuid::Uuid,
|
|
) -> Result<String, Box<dyn Error + Send + Sync>> {
|
|
let bot_uuid = bot_id;
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let mut result = String::new();
|
|
|
|
let source = if goto_transform::has_goto_constructs(source) {
|
|
trace!("GOTO constructs detected, transforming to state machine");
|
|
goto_transform::transform_goto(source)
|
|
} else {
|
|
source.to_string()
|
|
};
|
|
let source = source.as_str();
|
|
let mut has_schedule = false;
|
|
let script_name = Path::new(source_path)
|
|
.file_stem()
|
|
.and_then(|s| s.to_str())
|
|
.unwrap_or("unknown")
|
|
.to_string();
|
|
{
|
|
let mut conn = self
|
|
.state
|
|
.conn
|
|
.get()
|
|
.map_err(|e| format!("Failed to get database connection: {e}"))?;
|
|
use crate::core::shared::models::system_automations::dsl::*;
|
|
diesel::delete(
|
|
system_automations
|
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.filter(bot_id.eq(&bot_uuid))
|
|
.filter(kind.eq(TriggerKind::Scheduled as i32))
|
|
.filter(param.eq(&script_name)),
|
|
)
|
|
.execute(&mut conn)
|
|
.ok();
|
|
}
|
|
|
|
let website_regex = Regex::new(r#"(?i)USE\s+WEBSITE\s+"([^"]+)"(?:\s+REFRESH\s+"([^"]+)")?"#)?;
|
|
|
|
for line in source.lines() {
|
|
let trimmed = line.trim();
|
|
if trimmed.is_empty()
|
|
|| trimmed.starts_with('\'')
|
|
|| trimmed.starts_with("//")
|
|
|| trimmed.starts_with("REM")
|
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{
|
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continue;
|
|
}
|
|
|
|
let normalized = trimmed
|
|
.replace("FOR EACH", "FOR_EACH")
|
|
.replace("EXIT FOR", "EXIT_FOR")
|
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.replace("GROUP BY", "GROUP_BY");
|
|
if normalized.starts_with("SET SCHEDULE") || trimmed.starts_with("SET SCHEDULE") {
|
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has_schedule = true;
|
|
let parts: Vec<&str> = normalized.split('"').collect();
|
|
if parts.len() >= 3 {
|
|
#[cfg(feature = "tasks")]
|
|
{
|
|
let cron = parts[1];
|
|
let mut conn = self
|
|
.state
|
|
.conn
|
|
.get()
|
|
.map_err(|e| format!("Failed to get database connection: {e}"))?;
|
|
if let Err(e) = execute_set_schedule(&mut conn, cron, &script_name, bot_id) {
|
|
log::error!(
|
|
"Failed to schedule SET SCHEDULE during preprocessing: {}",
|
|
e
|
|
);
|
|
}
|
|
}
|
|
#[cfg(not(feature = "tasks"))]
|
|
log::warn!("SET SCHEDULE requires 'tasks' feature - ignoring");
|
|
} else {
|
|
log::warn!("Malformed SET SCHEDULE line ignored: {}", trimmed);
|
|
}
|
|
continue;
|
|
}
|
|
|
|
if normalized.starts_with("WEBHOOK") {
|
|
let parts: Vec<&str> = normalized.split('"').collect();
|
|
if parts.len() >= 2 {
|
|
let endpoint = parts[1];
|
|
let mut conn = self
|
|
.state
|
|
.conn
|
|
.get()
|
|
.map_err(|e| format!("Failed to get database connection: {}", e))?;
|
|
if let Err(e) =
|
|
execute_webhook_registration(&mut conn, endpoint, &script_name, bot_id)
|
|
{
|
|
log::error!("Failed to register WEBHOOK during preprocessing: {}", e);
|
|
} else {
|
|
log::trace!(
|
|
"Registered webhook endpoint {} for script {} during preprocessing",
|
|
endpoint,
|
|
script_name
|
|
);
|
|
}
|
|
} else {
|
|
log::warn!("Malformed WEBHOOK line ignored: {}", normalized);
|
|
}
|
|
continue;
|
|
}
|
|
|
|
if trimmed.to_uppercase().starts_with("USE WEBSITE") {
|
|
if let Some(caps) = website_regex.captures(&normalized) {
|
|
if let Some(url_match) = caps.get(1) {
|
|
let url = url_match.as_str();
|
|
let refresh = caps.get(2).map(|m| m.as_str()).unwrap_or("1m");
|
|
let mut conn = self
|
|
.state
|
|
.conn
|
|
.get()
|
|
.map_err(|e| format!("Failed to get database connection: {}", e))?;
|
|
if let Err(e) =
|
|
crate::basic::keywords::use_website::execute_use_website_preprocessing_with_refresh(
|
|
&mut conn, url, bot_id, refresh,
|
|
)
|
|
{
|
|
log::error!("Failed to register USE_WEBSITE during preprocessing: {}", e);
|
|
} else {
|
|
log::trace!(
|
|
"Registered website {} for crawling during preprocessing (refresh: {})",
|
|
url, refresh
|
|
);
|
|
}
|
|
|
|
result.push_str(&format!("USE_WEBSITE(\"{}\", \"{}\");\n", url, refresh));
|
|
continue;
|
|
}
|
|
} else {
|
|
log::warn!("Malformed USE_WEBSITE line ignored: {}", normalized);
|
|
}
|
|
continue;
|
|
}
|
|
if normalized.starts_with("PARAM ") || normalized.starts_with("DESCRIPTION ") {
|
|
continue;
|
|
}
|
|
result.push_str(&normalized);
|
|
result.push('\n');
|
|
}
|
|
if self.previous_schedules.contains(&script_name) && !has_schedule {
|
|
let mut conn = self
|
|
.state
|
|
.conn
|
|
.get()
|
|
.map_err(|e| format!("Failed to get database connection: {}", e))?;
|
|
use crate::core::shared::models::system_automations::dsl::*;
|
|
diesel::delete(
|
|
system_automations
|
|
.filter(bot_id.eq(&bot_uuid))
|
|
.filter(kind.eq(TriggerKind::Scheduled as i32))
|
|
.filter(param.eq(&script_name)),
|
|
)
|
|
.execute(&mut conn)
|
|
.map_err(|e| log::error!("Failed to remove schedule for {}: {}", script_name, e))
|
|
.ok();
|
|
}
|
|
if has_schedule {
|
|
self.previous_schedules.insert(script_name);
|
|
} else {
|
|
self.previous_schedules.remove(&script_name);
|
|
}
|
|
|
|
// Convert SAVE statements with field lists to map-based SAVE
|
|
let result = match self.convert_save_statements(&result, bot_id) {
|
|
Ok(r) => r,
|
|
Err(e) => {
|
|
log::warn!("SAVE conversion failed: {}, using original code", e);
|
|
result
|
|
}
|
|
};
|
|
// Convert BEGIN TALK and BEGIN MAIL blocks to Rhai code
|
|
let result = crate::basic::compiler::blocks::convert_begin_blocks(&result);
|
|
// Convert IF ... THEN / END IF to if ... { }
|
|
let result = crate::basic::ScriptService::convert_if_then_syntax(&result);
|
|
// Convert SELECT ... CASE / END SELECT to match expressions
|
|
let result = crate::basic::ScriptService::convert_select_case_syntax(&result);
|
|
// Convert BASIC keywords to lowercase (but preserve variable casing)
|
|
let result = crate::basic::ScriptService::convert_keywords_to_lowercase(&result);
|
|
|
|
Ok(result)
|
|
}
|
|
|
|
/// Convert SAVE statements with field lists to map-based SAVE
|
|
/// SAVE "table", field1, field2, ... -> let __data__ = #{field1: value1, ...}; SAVE "table", __data__
|
|
fn convert_save_statements(
|
|
&self,
|
|
source: &str,
|
|
bot_id: uuid::Uuid,
|
|
) -> Result<String, Box<dyn Error + Send + Sync>> {
|
|
let mut result = String::new();
|
|
let mut save_counter = 0;
|
|
|
|
for line in source.lines() {
|
|
let trimmed = line.trim();
|
|
|
|
// Check if this is a SAVE statement with field list
|
|
if trimmed.to_uppercase().starts_with("SAVE ") {
|
|
if let Some(converted) = self.convert_save_line(line, bot_id, &mut save_counter)? {
|
|
result.push_str(&converted);
|
|
result.push('\n');
|
|
continue;
|
|
}
|
|
}
|
|
|
|
result.push_str(line);
|
|
result.push('\n');
|
|
}
|
|
|
|
Ok(result)
|
|
}
|
|
|
|
/// Convert a single SAVE statement line if it has a field list
|
|
fn convert_save_line(
|
|
&self,
|
|
line: &str,
|
|
bot_id: uuid::Uuid,
|
|
save_counter: &mut usize,
|
|
) -> Result<Option<String>, Box<dyn Error + Send + Sync>> {
|
|
let trimmed = line.trim();
|
|
|
|
// Parse SAVE statement
|
|
// Format: SAVE "table", value1, value2, ...
|
|
let upper = trimmed.to_uppercase();
|
|
if !upper.starts_with("SAVE ") {
|
|
return Ok(None);
|
|
}
|
|
|
|
// Extract the content after "SAVE"
|
|
let content = &trimmed[4..].trim();
|
|
|
|
// Parse table name and values
|
|
let parts = self.parse_save_statement(content)?;
|
|
|
|
// If only 2 parts (table + data map), leave as-is (structured SAVE)
|
|
if parts.len() <= 2 {
|
|
return Ok(None);
|
|
}
|
|
|
|
// This is a field list SAVE - convert to map-based SAVE
|
|
let table_name = &parts[0];
|
|
|
|
// Strip quotes from table name if present
|
|
let table_name = table_name.trim_matches('"');
|
|
|
|
// Debug log to see what we're querying
|
|
log::trace!("Converting SAVE for table: '{}' (original: '{}')", table_name, &parts[0]);
|
|
|
|
// Get column names from TABLE definition (preserves order from .bas file)
|
|
let column_names = self.get_table_columns_for_save(table_name, bot_id)?;
|
|
|
|
// Build the map by matching variable names to column names (case-insensitive)
|
|
let values: Vec<&String> = parts.iter().skip(1).collect();
|
|
let mut map_pairs = Vec::new();
|
|
|
|
log::trace!("Matching {} variables to {} columns", values.len(), column_names.len());
|
|
|
|
for value_var in values.iter() {
|
|
// Find the column that matches this variable (case-insensitive)
|
|
let value_lower = value_var.to_lowercase();
|
|
|
|
if let Some(column_name) = column_names.iter().find(|col| col.to_lowercase() == value_lower) {
|
|
map_pairs.push(format!("{}: {}", column_name, value_var));
|
|
} else {
|
|
log::warn!("No matching column for variable '{}'", value_var);
|
|
}
|
|
}
|
|
|
|
let map_expr = format!("#{{{}}}", map_pairs.join(", "));
|
|
let data_var = format!("__save_data_{}__", save_counter);
|
|
*save_counter += 1;
|
|
|
|
// Generate: let __save_data_N__ = #{...}; SAVE "table", __save_data_N__
|
|
let converted = format!("let {} = {}; SAVE {}, {}", data_var, map_expr, table_name, data_var);
|
|
|
|
Ok(Some(converted))
|
|
}
|
|
|
|
/// Parse SAVE statement into parts
|
|
fn parse_save_statement(&self, content: &str) -> Result<Vec<String>, Box<dyn Error + Send + Sync>> {
|
|
// Simple parsing - split by comma, but respect quoted strings
|
|
let mut parts = Vec::new();
|
|
let mut current = String::new();
|
|
let mut in_quotes = false;
|
|
let mut chars = content.chars().peekable();
|
|
|
|
while let Some(c) = chars.next() {
|
|
match c {
|
|
'"' if chars.peek() == Some(&'"') => {
|
|
// Escaped quote
|
|
current.push('"');
|
|
chars.next();
|
|
}
|
|
'"' => {
|
|
in_quotes = !in_quotes;
|
|
current.push('"');
|
|
}
|
|
',' if !in_quotes => {
|
|
parts.push(current.trim().to_string());
|
|
current = String::new();
|
|
}
|
|
_ => {
|
|
current.push(c);
|
|
}
|
|
}
|
|
}
|
|
|
|
if !current.trim().is_empty() {
|
|
parts.push(current.trim().to_string());
|
|
}
|
|
|
|
Ok(parts)
|
|
}
|
|
|
|
/// Get column names for a table from TABLE definition (preserves field order)
|
|
fn get_table_columns_for_save(
|
|
&self,
|
|
table_name: &str,
|
|
bot_id: uuid::Uuid,
|
|
) -> Result<Vec<String>, Box<dyn Error + Send + Sync>> {
|
|
// Try to parse TABLE definition from the bot's .bas files to get correct field order
|
|
if let Ok(columns) = self.get_columns_from_table_definition(table_name, bot_id) {
|
|
if !columns.is_empty() {
|
|
log::trace!("Using TABLE definition for '{}': {} columns", table_name, columns.len());
|
|
return Ok(columns);
|
|
}
|
|
}
|
|
|
|
// Fallback to database schema query (may have different order)
|
|
self.get_columns_from_database_schema(table_name, bot_id)
|
|
}
|
|
|
|
/// Parse TABLE definition from .bas files to get field order
|
|
fn get_columns_from_table_definition(
|
|
&self,
|
|
table_name: &str,
|
|
bot_id: uuid::Uuid,
|
|
) -> Result<Vec<String>, Box<dyn Error + Send + Sync>> {
|
|
// use std::path::Path;
|
|
|
|
// Find the tables.bas file in the bot's data directory
|
|
let bot_name = self.get_bot_name_by_id(bot_id)?;
|
|
let tables_path = format!("/opt/gbo/data/{}.gbai/{}.gbdialog/tables.bas", bot_name, bot_name);
|
|
|
|
let tables_content = fs::read_to_string(&tables_path)?;
|
|
let columns = self.parse_table_definition_for_fields(&tables_content, table_name)?;
|
|
|
|
Ok(columns)
|
|
}
|
|
|
|
/// Parse TABLE definition and extract field names in order
|
|
fn parse_table_definition_for_fields(
|
|
&self,
|
|
content: &str,
|
|
table_name: &str,
|
|
) -> Result<Vec<String>, Box<dyn Error + Send + Sync>> {
|
|
let mut columns = Vec::new();
|
|
let mut in_target_table = false;
|
|
|
|
for line in content.lines() {
|
|
let trimmed = line.trim();
|
|
|
|
if trimmed.starts_with("TABLE ") && trimmed.contains(table_name) {
|
|
in_target_table = true;
|
|
continue;
|
|
}
|
|
|
|
if in_target_table {
|
|
if trimmed.starts_with("END TABLE") {
|
|
break;
|
|
}
|
|
|
|
if trimmed.starts_with("FIELD ") {
|
|
// Parse: FIELD fieldName AS TYPE
|
|
let parts: Vec<&str> = trimmed.split_whitespace().collect();
|
|
if parts.len() >= 2 {
|
|
let field_name = parts[1].to_string();
|
|
columns.push(field_name);
|
|
}
|
|
}
|
|
}
|
|
}
|
|
|
|
Ok(columns)
|
|
}
|
|
|
|
/// Get bot name by bot_id
|
|
fn get_bot_name_by_id(&self, bot_id: uuid::Uuid) -> Result<String, Box<dyn Error + Send + Sync>> {
|
|
use crate::core::shared::models::schema::bots::dsl::*;
|
|
use diesel::QueryDsl;
|
|
|
|
let mut conn = self.state.conn.get()
|
|
.map_err(|e| format!("Failed to get DB connection: {}", e))?;
|
|
|
|
let bot_name: String = bots
|
|
.filter(id.eq(&bot_id))
|
|
.select(name)
|
|
.first(&mut conn)
|
|
.map_err(|e| format!("Failed to get bot name: {}", e))?;
|
|
|
|
Ok(bot_name)
|
|
}
|
|
|
|
/// Get column names from database schema (fallback, order may differ)
|
|
fn get_columns_from_database_schema(
|
|
&self,
|
|
table_name: &str,
|
|
bot_id: uuid::Uuid,
|
|
) -> Result<Vec<String>, Box<dyn Error + Send + Sync>> {
|
|
use diesel::sql_query;
|
|
use diesel::sql_types::Text;
|
|
use diesel::RunQueryDsl;
|
|
|
|
#[derive(QueryableByName)]
|
|
struct ColumnRow {
|
|
#[diesel(sql_type = Text)]
|
|
column_name: String,
|
|
}
|
|
|
|
// First, try to get columns from the main database's information_schema
|
|
// This works because tables are created in the bot's database which shares the schema
|
|
let mut conn = self.state.conn.get()
|
|
.map_err(|e| format!("Failed to get DB connection: {}", e))?;
|
|
|
|
let query = format!(
|
|
"SELECT column_name FROM information_schema.columns \
|
|
WHERE table_name = '{}' AND table_schema = 'public' \
|
|
ORDER BY ordinal_position",
|
|
table_name
|
|
);
|
|
|
|
let columns: Vec<String> = match sql_query(&query).load(&mut conn) {
|
|
Ok(cols) => {
|
|
if cols.is_empty() {
|
|
log::warn!("Found 0 columns for table '{}' in main database, trying bot database", table_name);
|
|
// Try bot's database as fallback when main DB returns empty
|
|
let bot_pool = self.state.bot_database_manager.get_bot_pool(bot_id);
|
|
if let Ok(pool) = bot_pool {
|
|
let mut bot_conn = pool.get()
|
|
.map_err(|e| format!("Bot DB error: {}", e))?;
|
|
|
|
let bot_query = format!(
|
|
"SELECT column_name FROM information_schema.columns \
|
|
WHERE table_name = '{}' AND table_schema = 'public' \
|
|
ORDER BY ordinal_position",
|
|
table_name
|
|
);
|
|
|
|
match sql_query(&bot_query).load(&mut *bot_conn) {
|
|
Ok(bot_cols) => {
|
|
log::trace!("Found {} columns for table '{}' in bot database", bot_cols.len(), table_name);
|
|
bot_cols.into_iter()
|
|
.map(|c: ColumnRow| c.column_name)
|
|
.collect()
|
|
}
|
|
Err(e) => {
|
|
log::error!("Failed to get columns from bot DB for '{}': {}", table_name, e);
|
|
Vec::new()
|
|
}
|
|
}
|
|
} else {
|
|
log::error!("No bot database available for bot_id: {}", bot_id);
|
|
Vec::new()
|
|
}
|
|
} else {
|
|
log::trace!("Found {} columns for table '{}' in main database", cols.len(), table_name);
|
|
cols.into_iter()
|
|
.map(|c: ColumnRow| c.column_name)
|
|
.collect()
|
|
}
|
|
}
|
|
Err(e) => {
|
|
log::warn!("Failed to get columns for table '{}' from main DB: {}", table_name, e);
|
|
|
|
// Try bot's database as fallback
|
|
let bot_pool = self.state.bot_database_manager.get_bot_pool(bot_id);
|
|
if let Ok(pool) = bot_pool {
|
|
let mut bot_conn = pool.get()
|
|
.map_err(|e| format!("Bot DB error: {}", e))?;
|
|
|
|
let bot_query = format!(
|
|
"SELECT column_name FROM information_schema.columns \
|
|
WHERE table_name = '{}' AND table_schema = 'public' \
|
|
ORDER BY ordinal_position",
|
|
table_name
|
|
);
|
|
|
|
match sql_query(&bot_query).load(&mut *bot_conn) {
|
|
Ok(cols) => {
|
|
log::trace!("Found {} columns for table '{}' in bot database", cols.len(), table_name);
|
|
cols.into_iter()
|
|
.filter(|c: &ColumnRow| c.column_name != "id")
|
|
.map(|c: ColumnRow| c.column_name)
|
|
.collect()
|
|
}
|
|
Err(e) => {
|
|
log::error!("Failed to get columns from bot DB for '{}': {}", table_name, e);
|
|
Vec::new()
|
|
}
|
|
}
|
|
} else {
|
|
log::error!("No bot database available for bot_id: {}", bot_id);
|
|
Vec::new()
|
|
}
|
|
}
|
|
};
|
|
|
|
Ok(columns)
|
|
}
|
|
}
|
|
#[derive(Debug)]
|
|
pub struct CompilationResult {
|
|
pub mcp_tool: Option<MCPTool>,
|
|
pub openai_tool: Option<OpenAITool>,
|
|
}
|