generalbots/src/basic/compiler/mod.rs

942 lines
35 KiB
Rust

#[cfg(feature = "tasks")]
use crate::basic::keywords::set_schedule::execute_set_schedule;
use crate::basic::keywords::table_definition::process_table_definitions;
use crate::basic::keywords::webhook::execute_webhook_registration;
use crate::core::shared::models::TriggerKind;
use crate::core::shared::state::AppState;
use diesel::QueryableByName;
// use diesel::sql_types::Text; // Removed unused import
use diesel::ExpressionMethods;
use diesel::QueryDsl;
use diesel::RunQueryDsl;
use log::{trace, warn};
use regex::Regex;
pub mod goto_transform;
pub mod blocks;
use serde::{Deserialize, Serialize};
use std::collections::HashMap;
use std::collections::HashSet;
use std::error::Error;
use std::fs;
use std::path::Path;
use std::sync::Arc;
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct ParamDeclaration {
pub name: String,
pub param_type: String,
pub original_type: String,
pub example: Option<String>,
pub description: String,
pub required: bool,
#[serde(skip_serializing_if = "Option::is_none")]
pub enum_values: Option<Vec<String>>,
}
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct ToolDefinition {
pub name: String,
pub description: String,
pub parameters: Vec<ParamDeclaration>,
pub source_file: String,
}
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct MCPTool {
pub name: String,
pub description: String,
pub input_schema: MCPInputSchema,
}
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct MCPInputSchema {
#[serde(rename = "type")]
pub schema_type: String,
pub properties: HashMap<String, MCPProperty>,
pub required: Vec<String>,
}
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct MCPProperty {
#[serde(rename = "type")]
pub prop_type: String,
pub description: String,
#[serde(skip_serializing_if = "Option::is_none")]
pub example: Option<String>,
#[serde(skip_serializing_if = "Option::is_none")]
pub format: Option<String>,
}
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct OpenAITool {
#[serde(rename = "type")]
pub tool_type: String,
pub function: OpenAIFunction,
}
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct OpenAIFunction {
pub name: String,
pub description: String,
pub parameters: OpenAIParameters,
}
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct OpenAIParameters {
#[serde(rename = "type")]
pub param_type: String,
pub properties: HashMap<String, OpenAIProperty>,
pub required: Vec<String>,
}
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct OpenAIProperty {
#[serde(rename = "type")]
pub prop_type: String,
pub description: String,
#[serde(skip_serializing_if = "Option::is_none")]
pub example: Option<String>,
#[serde(rename = "enum", skip_serializing_if = "Option::is_none")]
pub enum_values: Option<Vec<String>>,
#[serde(skip_serializing_if = "Option::is_none")]
pub format: Option<String>,
}
#[derive(Debug)]
pub struct BasicCompiler {
state: Arc<AppState>,
bot_id: uuid::Uuid,
previous_schedules: HashSet<String>,
}
impl BasicCompiler {
#[must_use]
pub fn new(state: Arc<AppState>, bot_id: uuid::Uuid) -> Self {
Self {
state,
bot_id,
previous_schedules: HashSet::new(),
}
}
pub fn compile_file(
&mut self,
source_path: &str,
output_dir: &str,
) -> Result<CompilationResult, Box<dyn Error + Send + Sync>> {
let source_content = fs::read_to_string(source_path)
.map_err(|e| format!("Failed to read source file: {e}"))?;
if let Err(e) =
process_table_definitions(Arc::clone(&self.state), self.bot_id, &source_content)
{
log::warn!("Failed to process TABLE definitions: {}", e);
}
let tool_def = self.parse_tool_definition(&source_content, source_path)?;
let file_name = Path::new(source_path)
.file_stem()
.and_then(|s| s.to_str())
.ok_or("Invalid file name")?;
// Generate ADD SUGGESTION commands for enum parameters
let source_with_suggestions = self.generate_enum_suggestions(&source_content, &tool_def)?;
let ast_path = format!("{output_dir}/{file_name}.ast");
let ast_content = self.preprocess_basic(&source_with_suggestions, source_path, self.bot_id)?;
fs::write(&ast_path, &ast_content).map_err(|e| format!("Failed to write AST file: {e}"))?;
let (mcp_json, tool_json) = if tool_def.parameters.is_empty() {
(None, None)
} else {
let mcp = Self::generate_mcp_tool(&tool_def)?;
let openai = Self::generate_openai_tool(&tool_def)?;
let mcp_path = format!("{output_dir}/{file_name}.mcp.json");
let tool_path = format!("{output_dir}/{file_name}.tool.json");
let mcp_json_str = serde_json::to_string_pretty(&mcp)?;
fs::write(&mcp_path, mcp_json_str)
.map_err(|e| format!("Failed to write MCP JSON: {e}"))?;
let tool_json_str = serde_json::to_string_pretty(&openai)?;
fs::write(&tool_path, tool_json_str)
.map_err(|e| format!("Failed to write tool JSON: {e}"))?;
(Some(mcp), Some(openai))
};
Ok(CompilationResult {
mcp_tool: mcp_json,
openai_tool: tool_json,
})
}
pub fn parse_tool_definition(
&self,
source: &str,
source_path: &str,
) -> Result<ToolDefinition, Box<dyn Error + Send + Sync>> {
let mut params = Vec::new();
let mut description = String::new();
let lines: Vec<&str> = source.lines().collect();
let mut i = 0;
while i < lines.len() {
let line = lines[i].trim();
if line.starts_with("PARAM ") {
if let Some(param) = Self::parse_param_line(line)? {
params.push(param);
}
}
if line.starts_with("DESCRIPTION ") {
let desc_start = line.find('"').unwrap_or(0);
let desc_end = line.rfind('"').unwrap_or(line.len());
if desc_start < desc_end {
description = line[desc_start + 1..desc_end].to_string();
}
}
i += 1;
}
let tool_name = Path::new(source_path)
.file_stem()
.and_then(|s| s.to_str())
.unwrap_or("unknown")
.to_string();
Ok(ToolDefinition {
name: tool_name,
description,
parameters: params,
source_file: source_path.to_string(),
})
}
fn parse_param_line(
line: &str,
) -> Result<Option<ParamDeclaration>, Box<dyn Error + Send + Sync>> {
let line = line.trim();
if !line.starts_with("PARAM ") {
return Ok(None);
}
let parts: Vec<&str> = line.split_whitespace().collect();
if parts.len() < 4 {
warn!("Invalid PARAM line: {line}");
return Ok(None);
}
let name = parts[1].to_string();
let as_index = parts.iter().position(|&p| p == "AS");
let param_type = if let Some(idx) = as_index {
if idx + 1 < parts.len() {
parts[idx + 1].to_lowercase()
} else {
"string".to_string()
}
} else {
"string".to_string()
};
let example = line.find("LIKE").and_then(|like_pos| {
let rest = &line[like_pos + 4..].trim();
rest.find('"').and_then(|start| {
rest[start + 1..]
.find('"')
.map(|end| rest[start + 1..start + 1 + end].to_string())
})
});
// Parse ENUM array directly from PARAM statement
// Syntax: PARAM name AS TYPE ENUM ["value1", "value2", ...]
let enum_values = if let Some(enum_pos) = line.find("ENUM") {
let rest = &line[enum_pos + 4..].trim();
if let Some(start) = rest.find('[') {
if let Some(end) = rest[start..].find(']') {
let array_content = &rest[start + 1..start + end];
// Parse the array elements
let values: Vec<String> = array_content
.split(',')
.map(|s| {
s.trim()
.trim_matches('"')
.trim_matches('\'')
.to_string()
})
.filter(|s| !s.is_empty())
.collect();
Some(values)
} else {
None
}
} else {
None
}
} else {
None
};
let description = if let Some(desc_pos) = line.find("DESCRIPTION") {
let rest = &line[desc_pos + 11..].trim();
if let Some(start) = rest.find('"') {
if let Some(end) = rest[start + 1..].rfind('"') {
rest[start + 1..start + 1 + end].to_string()
} else {
"".to_string()
}
} else {
"".to_string()
}
} else {
"".to_string()
};
Ok(Some(ParamDeclaration {
name,
param_type: Self::normalize_type(&param_type),
original_type: param_type.to_lowercase(),
example,
description,
required: true,
enum_values,
}))
}
fn normalize_type(basic_type: &str) -> String {
match basic_type.to_lowercase().as_str() {
"integer" | "int" | "number" => "integer".to_string(),
"float" | "double" | "decimal" => "number".to_string(),
"boolean" | "bool" => "boolean".to_string(),
"array" | "list" => "array".to_string(),
"object" | "map" => "object".to_string(),
// "string", "text", "date", "datetime", and any other type default to string
_ => "string".to_string(),
}
}
/// Generate ADD SUGGESTION commands for parameters with enum values
fn generate_enum_suggestions(
&self,
source: &str,
tool_def: &ToolDefinition,
) -> Result<String, Box<dyn Error + Send + Sync>> {
let mut result = String::new();
let mut suggestion_lines = Vec::new();
// Generate ADD SUGGESTION TEXT commands for each parameter with enum values
// These will send the enum value as a text message when clicked
for param in &tool_def.parameters {
if let Some(ref enum_values) = param.enum_values {
// For each enum value, create a suggestion button
for enum_value in enum_values {
// Use the enum value as both the text to send and the button label
let suggestion_cmd = format!(
"ADD SUGGESTION TEXT \"{}\" AS \"{}\"",
enum_value, enum_value
);
suggestion_lines.push(suggestion_cmd);
}
}
}
// Insert suggestions after the DESCRIPTION line (or at end if no DESCRIPTION)
let lines: Vec<&str> = source.lines().collect();
let mut inserted = false;
for line in lines.iter() {
result.push_str(line);
result.push('\n');
// Insert suggestions after DESCRIPTION line
if !inserted && line.trim().starts_with("DESCRIPTION ") {
// Insert suggestions after this line
for suggestion in &suggestion_lines {
result.push_str(suggestion);
result.push('\n');
}
inserted = true;
}
}
// If we didn't find a DESCRIPTION line, insert at the end
if !inserted && !suggestion_lines.is_empty() {
for suggestion in &suggestion_lines {
result.push_str(suggestion);
result.push('\n');
}
}
Ok(result)
}
fn generate_mcp_tool(
tool_def: &ToolDefinition,
) -> Result<MCPTool, Box<dyn Error + Send + Sync>> {
let mut properties = HashMap::new();
let mut required = Vec::new();
for param in &tool_def.parameters {
// Add format="date" for DATE type parameters to indicate ISO 8601 format
let format = if param.original_type == "date" {
Some("date".to_string())
} else {
None
};
properties.insert(
param.name.clone(),
MCPProperty {
prop_type: param.param_type.clone(),
description: param.description.clone(),
example: param.example.clone(),
format,
},
);
if param.required {
required.push(param.name.clone());
}
}
Ok(MCPTool {
name: tool_def.name.clone(),
description: tool_def.description.clone(),
input_schema: MCPInputSchema {
schema_type: "object".to_string(),
properties,
required,
},
})
}
fn generate_openai_tool(
tool_def: &ToolDefinition,
) -> Result<OpenAITool, Box<dyn Error + Send + Sync>> {
let mut properties = HashMap::new();
let mut required = Vec::new();
for param in &tool_def.parameters {
// Add format="date" for DATE type parameters to indicate ISO 8601 format
let format = if param.original_type == "date" {
Some("date".to_string())
} else {
None
};
properties.insert(
param.name.clone(),
OpenAIProperty {
prop_type: param.param_type.clone(),
description: param.description.clone(),
example: param.example.clone(),
enum_values: param.enum_values.clone(),
format,
},
);
if param.required {
required.push(param.name.clone());
}
}
Ok(OpenAITool {
tool_type: "function".to_string(),
function: OpenAIFunction {
name: tool_def.name.clone(),
description: tool_def.description.clone(),
parameters: OpenAIParameters {
param_type: "object".to_string(),
properties,
required,
},
},
})
}
fn preprocess_basic(
&mut self,
source: &str,
source_path: &str,
bot_id: uuid::Uuid,
) -> Result<String, Box<dyn Error + Send + Sync>> {
let bot_uuid = bot_id;
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
.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")
{
continue;
}
let normalized = trimmed
.replace("FOR EACH", "FOR_EACH")
.replace("EXIT FOR", "EXIT_FOR")
.replace("GROUP BY", "GROUP_BY");
if normalized.starts_with("SET SCHEDULE") || trimmed.starts_with("SET SCHEDULE") {
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>,
}