cleaned up code

This commit is contained in:
filipriec
2025-07-24 22:04:55 +02:00
parent 4df6c40034
commit a96681e9d6
2 changed files with 239 additions and 252 deletions

View File

@@ -18,6 +18,13 @@ use crate::indexer::{IndexCommand, IndexCommandData};
use tokio::sync::mpsc;
use tracing::error;
/// Inserts new record into a table with validation through associated scripts.
///
/// This function handles creating new records in dynamically defined tables while:
/// - Validating permissions and column existence
/// - Executing validation scripts for computed columns
/// - Performing type-safe database insertions
/// - Maintaining search index consistency
pub async fn post_table_data(
db_pool: &PgPool,
request: PostTableDataRequest,
@@ -26,6 +33,7 @@ pub async fn post_table_data(
let profile_name = request.profile_name;
let table_name = request.table_name;
// Fetch schema and table metadata
let schema = sqlx::query!(
"SELECT id FROM schemas WHERE name = $1",
profile_name
@@ -48,6 +56,7 @@ pub async fn post_table_data(
let table_def = table_def.ok_or_else(|| Status::not_found("Table not found"))?;
// Parse column definitions from JSON format
let columns_json: Vec<String> = serde_json::from_value(table_def.columns.clone())
.map_err(|e| Status::internal(format!("Column parsing error: {}", e)))?;
@@ -62,6 +71,7 @@ pub async fn post_table_data(
columns.push((name, sql_type));
}
// Build list of valid system columns (foreign keys and special columns)
let fk_columns = sqlx::query!(
r#"SELECT ltd.table_name
FROM table_definition_links tdl
@@ -80,6 +90,7 @@ pub async fn post_table_data(
let system_columns_set: std::collections::HashSet<_> = system_columns.iter().map(|s| s.as_str()).collect();
// Validate all requested columns exist and are insertable
let user_columns: Vec<&String> = columns.iter().map(|(name, _)| name).collect();
for key in request.data.keys() {
if !system_columns_set.contains(key.as_str()) &&
@@ -88,6 +99,7 @@ pub async fn post_table_data(
}
}
// Convert proto values to strings for script execution context
let mut string_data_for_scripts = HashMap::new();
for (key, proto_value) in &request.data {
let str_val = match &proto_value.kind {
@@ -108,6 +120,7 @@ pub async fn post_table_data(
string_data_for_scripts.insert(key.clone(), str_val);
}
// Execute validation scripts for computed columns
let scripts = sqlx::query!(
"SELECT target_column, script FROM table_scripts WHERE table_definitions_id = $1",
table_def.id
@@ -119,6 +132,7 @@ pub async fn post_table_data(
for script_record in scripts {
let target_column = script_record.target_column;
// All script target columns are required for INSERT operations
let user_value = string_data_for_scripts.get(&target_column)
.ok_or_else(|| Status::invalid_argument(
format!("Script target column '{}' is required", target_column)
@@ -132,6 +146,7 @@ pub async fn post_table_data(
db_pool: Arc::new(db_pool.clone()),
};
// Execute script to calculate expected value
let script_result = execution::execute_script(
script_record.script,
"STRINGS",
@@ -153,8 +168,8 @@ pub async fn post_table_data(
let expected_value = script_output.pop()
.ok_or_else(|| Status::internal("Script returned no values"))?;
// FIX: Compare as Decimal numbers, not strings!
// Parse the user's value into a Decimal
// Perform numeric comparison for decimal values to handle equivalent representations
// (e.g., "76.5" should equal "76.50")
let user_decimal = Decimal::from_str(user_value).map_err(|_| {
Status::invalid_argument(format!(
"Invalid decimal format provided for column '{}': {}",
@@ -162,7 +177,6 @@ pub async fn post_table_data(
))
})?;
// Parse the script's calculated value into a Decimal
let expected_decimal = Decimal::from_str(&expected_value).map_err(|_| {
Status::internal(format!(
"Script for column '{}' produced an invalid decimal format: {}",
@@ -170,7 +184,6 @@ pub async fn post_table_data(
))
})?;
// Now compare the actual numbers - this correctly sees that 76.5 == 76.50
if user_decimal != expected_decimal {
return Err(Status::invalid_argument(format!(
"Validation failed for column '{}': Script calculated '{}', but user provided '{}'",
@@ -179,12 +192,14 @@ pub async fn post_table_data(
}
}
// Build parameterized INSERT query with type-safe parameter binding
let mut params = PgArguments::default();
let mut columns_list = Vec::new();
let mut placeholders = Vec::new();
let mut param_idx = 1;
for (col, proto_value) in request.data {
// Determine SQL type for proper parameter binding
let sql_type = if system_columns_set.contains(col.as_str()) {
match col.as_str() {
"deleted" => "BOOLEAN",
@@ -198,6 +213,7 @@ pub async fn post_table_data(
.ok_or_else(|| Status::invalid_argument(format!("Column not found: {}", col)))?
};
// Handle NULL values first
let kind = match &proto_value.kind {
None | Some(Kind::NullValue(_)) => {
match sql_type {
@@ -218,102 +234,107 @@ pub async fn post_table_data(
Some(k) => k,
};
if sql_type == "TEXT" {
if let Kind::StringValue(value) = kind {
let trimmed_value = value.trim();
// Handle typed values with validation
match sql_type {
"TEXT" => {
if let Kind::StringValue(value) = kind {
let trimmed_value = value.trim();
if trimmed_value.is_empty() {
params.add(None::<String>).map_err(|e| Status::internal(format!("Failed to add null parameter for {}: {}", col, e)))?;
} else {
if col == "telefon" && trimmed_value.len() > 15 {
return Err(Status::internal(format!("Value too long for {}", col)));
}
params.add(trimmed_value).map_err(|e| Status::invalid_argument(format!("Failed to add text parameter for {}: {}", col, e)))?;
}
} else {
return Err(Status::invalid_argument(format!("Expected string for column '{}'", col)));
}
} else if sql_type == "BOOLEAN" {
if let Kind::BoolValue(val) = kind {
params.add(val).map_err(|e| Status::invalid_argument(format!("Failed to add boolean parameter for {}: {}", col, e)))?;
} else {
return Err(Status::invalid_argument(format!("Expected boolean for column '{}'", col)));
}
} else if sql_type == "TIMESTAMPTZ" {
if let Kind::StringValue(value) = kind {
let dt = DateTime::parse_from_rfc3339(value).map_err(|_| Status::invalid_argument(format!("Invalid timestamp for {}", col)))?;
params.add(dt.with_timezone(&Utc)).map_err(|e| Status::invalid_argument(format!("Failed to add timestamp parameter for {}: {}", col, e)))?;
} else {
return Err(Status::invalid_argument(format!("Expected ISO 8601 string for column '{}'", col)));
}
} else if sql_type == "BIGINT" {
if let Kind::NumberValue(val) = kind {
if val.fract() != 0.0 {
return Err(Status::invalid_argument(format!("Expected integer for column '{}', but got a float", col)));
}
// Simple universal check: try the conversion and verify it's reversible
// This handles ALL edge cases: infinity, NaN, overflow, underflow, precision loss
let as_i64 = *val as i64;
if (as_i64 as f64) != *val {
return Err(Status::invalid_argument(format!("Integer value out of range for BIGINT column '{}'", col)));
}
params.add(as_i64).map_err(|e| Status::invalid_argument(format!("Failed to add bigint parameter for {}: {}", col, e)))?;
} else {
return Err(Status::invalid_argument(format!("Expected number for column '{}'", col)));
}
} else if sql_type == "INTEGER" {
if let Kind::NumberValue(val) = kind {
if val.fract() != 0.0 {
return Err(Status::invalid_argument(format!("Expected integer for column '{}', but got a float", col)));
}
// Simple universal check: try the conversion and verify it's reversible
// This handles ALL edge cases: infinity, NaN, overflow, underflow, precision loss
let as_i32 = *val as i32;
if (as_i32 as f64) != *val {
return Err(Status::invalid_argument(format!("Integer value out of range for INTEGER column '{}'", col)));
}
params.add(as_i32).map_err(|e| Status::invalid_argument(format!("Failed to add integer parameter for {}: {}", col, e)))?;
} else {
return Err(Status::invalid_argument(format!("Expected number for column '{}'", col)));
}
} else if sql_type.starts_with("NUMERIC") {
// MODIFIED: This block is now stricter.
let decimal_val = match kind {
Kind::StringValue(s) => {
let trimmed = s.trim();
if trimmed.is_empty() {
None // Treat empty string as NULL
if trimmed_value.is_empty() {
params.add(None::<String>).map_err(|e| Status::internal(format!("Failed to add null parameter for {}: {}", col, e)))?;
} else {
// This is the only valid path: parse from a string.
Some(Decimal::from_str(trimmed).map_err(|_| {
Status::invalid_argument(format!(
"Invalid decimal string format for column '{}': {}",
col, s
))
})?)
// Apply business rule validation (e.g., phone number length)
if col == "telefon" && trimmed_value.len() > 15 {
return Err(Status::internal(format!("Value too long for {}", col)));
}
params.add(trimmed_value).map_err(|e| Status::invalid_argument(format!("Failed to add text parameter for {}: {}", col, e)))?;
}
} else {
return Err(Status::invalid_argument(format!("Expected string for column '{}'", col)));
}
// CATCH-ALL: Reject NumberValue, BoolValue, etc. for NUMERIC fields.
_ => {
return Err(Status::invalid_argument(format!(
"Expected a string representation for decimal column '{}', but received a different type.",
col
)));
},
"BOOLEAN" => {
if let Kind::BoolValue(val) = kind {
params.add(val).map_err(|e| Status::invalid_argument(format!("Failed to add boolean parameter for {}: {}", col, e)))?;
} else {
return Err(Status::invalid_argument(format!("Expected boolean for column '{}'", col)));
}
};
},
"TIMESTAMPTZ" => {
if let Kind::StringValue(value) = kind {
let dt = DateTime::parse_from_rfc3339(value).map_err(|_| Status::invalid_argument(format!("Invalid timestamp for {}", col)))?;
params.add(dt.with_timezone(&Utc)).map_err(|e| Status::invalid_argument(format!("Failed to add timestamp parameter for {}: {}", col, e)))?;
} else {
return Err(Status::invalid_argument(format!("Expected ISO 8601 string for column '{}'", col)));
}
},
"BIGINT" => {
if let Kind::NumberValue(val) = kind {
if val.fract() != 0.0 {
return Err(Status::invalid_argument(format!("Expected integer for column '{}', but got a float", col)));
}
params.add(decimal_val).map_err(|e| {
Status::invalid_argument(format!(
"Failed to add decimal parameter for {}: {}",
col, e
))
})?;
} else {
return Err(Status::invalid_argument(format!("Unsupported type {}", sql_type)));
// Validate conversion is reversible to catch overflow, underflow, and precision loss
let as_i64 = *val as i64;
if (as_i64 as f64) != *val {
return Err(Status::invalid_argument(format!("Integer value out of range for BIGINT column '{}'", col)));
}
params.add(as_i64).map_err(|e| Status::invalid_argument(format!("Failed to add bigint parameter for {}: {}", col, e)))?;
} else {
return Err(Status::invalid_argument(format!("Expected number for column '{}'", col)));
}
},
"INTEGER" => {
if let Kind::NumberValue(val) = kind {
if val.fract() != 0.0 {
return Err(Status::invalid_argument(format!("Expected integer for column '{}', but got a float", col)));
}
// Validate conversion is reversible to catch overflow, underflow, and precision loss
let as_i32 = *val as i32;
if (as_i32 as f64) != *val {
return Err(Status::invalid_argument(format!("Integer value out of range for INTEGER column '{}'", col)));
}
params.add(as_i32).map_err(|e| Status::invalid_argument(format!("Failed to add integer parameter for {}: {}", col, e)))?;
} else {
return Err(Status::invalid_argument(format!("Expected number for column '{}'", col)));
}
},
s if s.starts_with("NUMERIC") => {
// Decimal values must be provided as strings for precise parsing
let decimal_val = match kind {
Kind::StringValue(s) => {
let trimmed = s.trim();
if trimmed.is_empty() {
None // Treat empty string as NULL
} else {
Some(Decimal::from_str(trimmed).map_err(|_| {
Status::invalid_argument(format!(
"Invalid decimal string format for column '{}': {}",
col, s
))
})?)
}
}
// Reject other types to ensure precise decimal handling
_ => {
return Err(Status::invalid_argument(format!(
"Expected a string representation for decimal column '{}', but received a different type.",
col
)));
}
};
params.add(decimal_val).map_err(|e| {
Status::invalid_argument(format!(
"Failed to add decimal parameter for {}: {}",
col, e
))
})?;
},
_ => return Err(Status::invalid_argument(format!("Unsupported type {}", sql_type))),
}
columns_list.push(format!("\"{}\"", col));
@@ -325,6 +346,7 @@ pub async fn post_table_data(
return Err(Status::invalid_argument("No valid columns to insert"));
}
// Execute the INSERT query
let qualified_table = crate::shared::schema_qualifier::qualify_table_name_for_data(
db_pool,
&profile_name,
@@ -346,6 +368,7 @@ pub async fn post_table_data(
let inserted_id = match result {
Ok(id) => id,
Err(e) => {
// Handle specific database errors with user-friendly messages
if let Some(db_err) = e.as_database_error() {
if db_err.code() == Some(std::borrow::Cow::Borrowed("22P02")) ||
db_err.code() == Some(std::borrow::Cow::Borrowed("22003")) {
@@ -364,6 +387,7 @@ pub async fn post_table_data(
}
};
// Queue record for search index update
let command = IndexCommand::AddOrUpdate(IndexCommandData {
table_name: table_name.clone(),
row_id: inserted_id,

View File

@@ -1,5 +1,4 @@
// src/tables_data/handlers/put_table_data.rs
// TODO WORK ON SCRIPTS INPUT OUTPUT HAS TO BE CHECKED
use tonic::Status;
use sqlx::{PgPool, Arguments, Row};
@@ -17,22 +16,22 @@ use crate::indexer::{IndexCommand, IndexCommandData};
use tokio::sync::mpsc;
use tracing::error;
/// Updates table data with validation through associated scripts.
///
/// This function handles updating records in dynamically defined tables while:
/// - Validating permissions and column existence
/// - Executing validation scripts for computed columns
/// - Performing type-safe database updates
/// - Maintaining search index consistency
pub async fn put_table_data(
db_pool: &PgPool,
request: PutTableDataRequest,
indexer_tx: &mpsc::Sender<IndexCommand>,
) -> Result<PutTableDataResponse, Status> {
eprintln!("🔥🔥🔥 PUT_TABLE_DATA FUNCTION CALLED 🔥🔥🔥");
eprintln!("Request: {:?}", request);
let profile_name = request.profile_name;
let table_name = request.table_name;
let record_id = request.id;
eprintln!("=== PUT TABLE DATA START ===");
eprintln!("Profile: {}, Table: {}, Record ID: {}", profile_name, table_name, record_id);
eprintln!("Request data: {:?}", request.data);
if request.data.is_empty() {
return Ok(PutTableDataResponse {
success: true,
@@ -41,7 +40,7 @@ pub async fn put_table_data(
});
}
// --- Metadata Fetching ---
// Fetch schema and table metadata
let schema = sqlx::query!("SELECT id FROM schemas WHERE name = $1", profile_name)
.fetch_optional(db_pool).await
.map_err(|e| Status::internal(format!("Profile lookup error: {}", e)))?
@@ -56,6 +55,7 @@ pub async fn put_table_data(
.map_err(|e| Status::internal(format!("Table lookup error: {}", e)))?
.ok_or_else(|| Status::not_found("Table not found"))?;
// Parse column definitions from JSON format
let columns_json: Vec<String> = serde_json::from_value(table_def.columns.clone())
.map_err(|e| Status::internal(format!("Column parsing error: {}", e)))?;
@@ -70,9 +70,7 @@ pub async fn put_table_data(
columns.push((name, sql_type));
}
println!("Table columns: {:?}", columns);
// --- Validate Column Permissions ---
// Build list of valid system columns (foreign keys and special columns)
let fk_columns = sqlx::query!(
r#"SELECT ltd.table_name
FROM table_definition_links tdl
@@ -89,6 +87,7 @@ pub async fn put_table_data(
system_columns.push(format!("{}_id", fk.table_name));
}
// Validate all requested columns exist and are editable
let system_columns_set: std::collections::HashSet<_> = system_columns.iter().map(|s| s.as_str()).collect();
let user_columns: Vec<&String> = columns.iter().map(|(name, _)| name).collect();
@@ -99,16 +98,12 @@ pub async fn put_table_data(
}
}
// --- Smart Data Fetching using script_dependencies table ---
// Fetch validation scripts for this table
let scripts = sqlx::query!("SELECT id, target_column, script FROM table_scripts WHERE table_definitions_id = $1", table_def.id)
.fetch_all(db_pool).await
.map_err(|e| Status::internal(format!("Failed to fetch scripts: {}", e)))?;
println!("Found {} scripts for table", scripts.len());
for script in &scripts {
println!("Script ID {}: target_column='{}', script='{}'", script.id, script.target_column, script.script);
}
// Determine minimal set of columns needed for script execution context
let mut required_columns = std::collections::HashSet::new();
// Always need: id, target columns of scripts, and columns being updated
@@ -120,7 +115,7 @@ pub async fn put_table_data(
required_columns.insert(key.clone());
}
// Use pre-computed dependencies from script_dependencies table
// Add columns referenced by scripts based on pre-computed dependencies
if !scripts.is_empty() {
let script_ids: Vec<i64> = scripts.iter().map(|s| s.id).collect();
@@ -136,8 +131,8 @@ pub async fn put_table_data(
.map_err(|e| Status::internal(format!("Failed to fetch script dependencies: {}", e)))?;
for dep in dependencies {
// If it references this table, add the columns it uses
if dep.target_table == table_name {
// Script references this table - add specific columns it uses
match dep.dependency_type.as_str() {
"column_access" | "indexed_access" => {
if let Some(context) = dep.context_info {
@@ -148,18 +143,15 @@ pub async fn put_table_data(
}
_ => {} // SQL queries handled differently
}
}
// If it references linked tables, add their foreign key columns
else {
} else {
// Script references linked table - add foreign key column
let fk_column = format!("{}_id", dep.target_table.split('_').last().unwrap_or(&dep.target_table));
required_columns.insert(fk_column);
}
}
}
println!("Required columns for context: {:?}", required_columns);
// Build optimized SELECT query with only required columns
// Fetch current record state with only required columns for efficiency
let qualified_table = crate::shared::schema_qualifier::qualify_table_name_for_data(db_pool, &profile_name, &table_name).await?;
let columns_clause = required_columns
@@ -169,7 +161,6 @@ pub async fn put_table_data(
.join(", ");
let select_sql = format!("SELECT {} FROM {} WHERE id = $1", columns_clause, qualified_table);
println!("SELECT SQL: {}", select_sql);
let current_row = sqlx::query(&select_sql).bind(record_id).fetch_optional(db_pool).await
.map_err(|e| Status::internal(format!("Failed to fetch current row state: {}", e)))?
@@ -181,11 +172,7 @@ pub async fn put_table_data(
current_row_data.insert(col_name.clone(), value);
}
println!("=== CURRENT ROW DATA FROM DB ===");
println!("{:?}", current_row_data);
// --- Data Merging Logic ---
eprintln!("🚨🚨🚨 EXTRACTING UPDATE DATA FROM REQUEST 🚨🚨🚨");
// Extract and normalize update data from request
let mut update_data = HashMap::new();
for (key, proto_value) in &request.data {
let str_val = match &proto_value.kind {
@@ -195,33 +182,25 @@ pub async fn put_table_data(
Some(Kind::NullValue(_)) | None => String::new(),
_ => return Err(Status::invalid_argument(format!("Unsupported type for column '{}'", key))),
};
eprintln!("🔥 UPDATE_DATA[{}] = '{}'", key, str_val);
update_data.insert(key.clone(), str_val);
}
eprintln!("🚨 UPDATE DATA EXTRACTED: {:?}", update_data);
// Create final context by merging current data with updates
let mut final_context_data = current_row_data.clone();
eprintln!("🚨 BEFORE EXTEND - final_context_data: {:?}", final_context_data);
final_context_data.extend(update_data.clone());
eprintln!("🚨 AFTER EXTEND - final_context_data: {:?}", final_context_data);
// Script validation with type-aware comparison
// Execute and validate scripts for computed columns
for script_record in scripts {
let target_column = script_record.target_column;
println!("=== PROCESSING SCRIPT FOR COLUMN: {} ===", target_column);
// Find the SQL type for this target column
// Determine SQL type for type-aware validation
let target_sql_type = if let Some((_, stype)) = columns.iter().find(|(name, _)| name == &target_column) {
stype.as_str()
} else {
"TEXT" // Default fallback for system columns
};
println!("Target column SQL type: {}", target_sql_type);
println!("Executing script: {}", script_record.script);
// Execute script with current context
let script_result = execution::execute_script(
script_record.script.clone(),
"STRINGS",
@@ -242,91 +221,69 @@ pub async fn put_table_data(
};
let script_output = script_output_vec.pop().ok_or_else(|| Status::internal("Script returned no values"))?;
println!("Script output: '{}'", script_output);
if update_data.contains_key(&target_column) {
// Case A: Column is being updated. Validate user input against script.
// Case A: Column is being updated - validate user input against script output
let user_value = update_data.get(&target_column).unwrap();
println!("Case A: Validating user value '{}' against script output '{}'", user_value, script_output);
// TYPE-AWARE COMPARISON based on SQL type
// Perform type-aware comparison based on SQL column type
let values_match = match target_sql_type {
s if s.starts_with("NUMERIC") => {
let user_decimal = Decimal::from_str(user_value).map_err(|_| Status::invalid_argument(format!("Invalid decimal format for column '{}'", target_column)))?;
let script_decimal = Decimal::from_str(&script_output).map_err(|_| Status::internal(format!("Script for '{}' produced invalid decimal", target_column)))?;
println!("Decimal comparison: user={}, script={}", user_decimal, script_decimal);
user_decimal == script_decimal
},
"INTEGER" | "BIGINT" => {
let user_int: i64 = user_value.parse().map_err(|_| Status::invalid_argument(format!("Invalid integer format for column '{}'", target_column)))?;
let script_int: i64 = script_output.parse().map_err(|_| Status::internal(format!("Script for '{}' produced invalid integer", target_column)))?;
println!("Integer comparison: user={}, script={}", user_int, script_int);
user_int == script_int
},
"BOOLEAN" => {
let user_bool: bool = user_value.parse().map_err(|_| Status::invalid_argument(format!("Invalid boolean format for column '{}'", target_column)))?;
let script_bool: bool = script_output.parse().map_err(|_| Status::internal(format!("Script for '{}' produced invalid boolean", target_column)))?;
println!("Boolean comparison: user={}, script={}", user_bool, script_bool);
user_bool == script_bool
},
_ => {
println!("String comparison: user='{}', script='{}'", user_value, script_output);
user_value == &script_output
}
_ => user_value == &script_output
};
println!("Values match: {}", values_match);
if !values_match {
return Err(Status::invalid_argument(format!("Validation failed for column '{}': Script calculated '{}', but user provided '{}'", target_column, script_output, user_value)));
}
} else {
// Case B: Column is NOT being updated. Prevent unauthorized changes.
// Case B: Column is NOT being updated - prevent unauthorized script-triggered changes
let current_value = current_row_data.get(&target_column).cloned().unwrap_or_default();
println!("Case B: Checking if script would change current value '{}' to '{}'", current_value, script_output);
let values_match = match target_sql_type {
s if s.starts_with("NUMERIC") => {
let current_decimal = Decimal::from_str(&current_value).unwrap_or_default();
let script_decimal = Decimal::from_str(&script_output).unwrap_or_default();
println!("Decimal comparison: current={}, script={}", current_decimal, script_decimal);
current_decimal == script_decimal
},
"INTEGER" | "BIGINT" => {
let current_int: i64 = current_value.parse().unwrap_or_default();
let script_int: i64 = script_output.parse().unwrap_or_default();
println!("Integer comparison: current={}, script={}", current_int, script_int);
current_int == script_int
},
"BOOLEAN" => {
let current_bool: bool = current_value.parse().unwrap_or(false);
let script_bool: bool = script_output.parse().unwrap_or(false);
println!("Boolean comparison: current={}, script={}", current_bool, script_bool);
current_bool == script_bool
},
_ => {
println!("String comparison: current='{}', script='{}'", current_value, script_output);
current_value == script_output
}
_ => current_value == script_output
};
println!("Values match: {}", values_match);
if !values_match {
return Err(Status::failed_precondition(format!("Script for column '{}' was triggered and would change its value from '{}' to '{}'. To apply this change, please include '{}' in your update request.", target_column, current_value, script_output, target_column)));
}
}
println!("=== END PROCESSING SCRIPT FOR COLUMN: {} ===", target_column);
}
// --- Database Update ---
// Build parameterized UPDATE query with type-safe parameter binding
let mut params = PgArguments::default();
let mut set_clauses = Vec::new();
let mut param_idx = 1;
println!("=== BUILDING UPDATE QUERY ===");
for (col, proto_value) in request.data {
// Determine SQL type for proper parameter binding
let sql_type = if system_columns_set.contains(col.as_str()) {
match col.as_str() {
"deleted" => "BOOLEAN",
@@ -340,6 +297,7 @@ pub async fn put_table_data(
.ok_or_else(|| Status::invalid_argument(format!("Column not found: {}", col)))?
};
// Handle NULL values first
let kind = match &proto_value.kind {
None | Some(Kind::NullValue(_)) => {
match sql_type {
@@ -359,89 +317,97 @@ pub async fn put_table_data(
Some(k) => k,
};
if sql_type == "TEXT" {
if let Kind::StringValue(value) = kind {
let trimmed_value = value.trim();
if trimmed_value.is_empty() {
params.add(None::<String>).map_err(|e| Status::internal(format!("Failed to add null parameter for {}: {}", col, e)))?;
} else {
if col == "telefon" && trimmed_value.len() > 15 {
return Err(Status::internal(format!("Value too long for {}", col)));
}
params.add(trimmed_value).map_err(|e| Status::invalid_argument(format!("Failed to add text parameter for {}: {}", col, e)))?;
}
} else {
return Err(Status::invalid_argument(format!("Expected string for column '{}'", col)));
}
} else if sql_type == "BOOLEAN" {
if let Kind::BoolValue(val) = kind {
params.add(val).map_err(|e| Status::invalid_argument(format!("Failed to add boolean parameter for {}: {}", col, e)))?;
} else {
return Err(Status::invalid_argument(format!("Expected boolean for column '{}'", col)));
}
} else if sql_type == "TIMESTAMPTZ" {
if let Kind::StringValue(value) = kind {
let dt = DateTime::parse_from_rfc3339(value).map_err(|_| Status::invalid_argument(format!("Invalid timestamp for {}", col)))?;
params.add(dt.with_timezone(&Utc)).map_err(|e| Status::invalid_argument(format!("Failed to add timestamp parameter for {}: {}", col, e)))?;
} else {
return Err(Status::invalid_argument(format!("Expected ISO 8601 string for column '{}'", col)));
}
} else if sql_type == "BIGINT" {
if let Kind::NumberValue(val) = kind {
if val.fract() != 0.0 {
return Err(Status::invalid_argument(format!("Expected integer for column '{}', but got a float", col)));
}
let as_i64 = *val as i64;
if (as_i64 as f64) != *val {
return Err(Status::invalid_argument(format!("Integer value out of range for BIGINT column '{}'", col)));
}
params.add(as_i64).map_err(|e| Status::invalid_argument(format!("Failed to add bigint parameter for {}: {}", col, e)))?;
} else {
return Err(Status::invalid_argument(format!("Expected number for column '{}'", col)));
}
} else if sql_type == "INTEGER" {
if let Kind::NumberValue(val) = kind {
if val.fract() != 0.0 {
return Err(Status::invalid_argument(format!("Expected integer for column '{}', but got a float", col)));
}
let as_i32 = *val as i32;
if (as_i32 as f64) != *val {
return Err(Status::invalid_argument(format!("Integer value out of range for INTEGER column '{}'", col)));
}
params.add(as_i32).map_err(|e| Status::invalid_argument(format!("Failed to add integer parameter for {}: {}", col, e)))?;
} else {
return Err(Status::invalid_argument(format!("Expected number for column '{}'", col)));
}
} else if sql_type.starts_with("NUMERIC") {
let decimal_val = match kind {
Kind::StringValue(s) => {
let trimmed = s.trim();
if trimmed.is_empty() {
None
// Handle typed values with validation
match sql_type {
"TEXT" => {
if let Kind::StringValue(value) = kind {
let trimmed_value = value.trim();
if trimmed_value.is_empty() {
params.add(None::<String>).map_err(|e| Status::internal(format!("Failed to add null parameter for {}: {}", col, e)))?;
} else {
Some(Decimal::from_str(trimmed).map_err(|_| {
Status::invalid_argument(format!(
"Invalid decimal string format for column '{}': {}",
col, s
))
})?)
// Apply business rule validation (e.g., phone number length)
if col == "telefon" && trimmed_value.len() > 15 {
return Err(Status::internal(format!("Value too long for {}", col)));
}
params.add(trimmed_value).map_err(|e| Status::invalid_argument(format!("Failed to add text parameter for {}: {}", col, e)))?;
}
} else {
return Err(Status::invalid_argument(format!("Expected string for column '{}'", col)));
}
_ => {
return Err(Status::invalid_argument(format!(
"Expected a string representation for decimal column '{}', but received a different type.",
col
)));
},
"BOOLEAN" => {
if let Kind::BoolValue(val) = kind {
params.add(val).map_err(|e| Status::invalid_argument(format!("Failed to add boolean parameter for {}: {}", col, e)))?;
} else {
return Err(Status::invalid_argument(format!("Expected boolean for column '{}'", col)));
}
};
params.add(decimal_val).map_err(|e| {
Status::invalid_argument(format!(
"Failed to add decimal parameter for {}: {}",
col, e
))
})?;
} else {
return Err(Status::invalid_argument(format!("Unsupported type {}", sql_type)));
},
"TIMESTAMPTZ" => {
if let Kind::StringValue(value) = kind {
let dt = DateTime::parse_from_rfc3339(value).map_err(|_| Status::invalid_argument(format!("Invalid timestamp for {}", col)))?;
params.add(dt.with_timezone(&Utc)).map_err(|e| Status::invalid_argument(format!("Failed to add timestamp parameter for {}: {}", col, e)))?;
} else {
return Err(Status::invalid_argument(format!("Expected ISO 8601 string for column '{}'", col)));
}
},
"BIGINT" => {
if let Kind::NumberValue(val) = kind {
if val.fract() != 0.0 {
return Err(Status::invalid_argument(format!("Expected integer for column '{}', but got a float", col)));
}
let as_i64 = *val as i64;
if (as_i64 as f64) != *val {
return Err(Status::invalid_argument(format!("Integer value out of range for BIGINT column '{}'", col)));
}
params.add(as_i64).map_err(|e| Status::invalid_argument(format!("Failed to add bigint parameter for {}: {}", col, e)))?;
} else {
return Err(Status::invalid_argument(format!("Expected number for column '{}'", col)));
}
},
"INTEGER" => {
if let Kind::NumberValue(val) = kind {
if val.fract() != 0.0 {
return Err(Status::invalid_argument(format!("Expected integer for column '{}', but got a float", col)));
}
let as_i32 = *val as i32;
if (as_i32 as f64) != *val {
return Err(Status::invalid_argument(format!("Integer value out of range for INTEGER column '{}'", col)));
}
params.add(as_i32).map_err(|e| Status::invalid_argument(format!("Failed to add integer parameter for {}: {}", col, e)))?;
} else {
return Err(Status::invalid_argument(format!("Expected number for column '{}'", col)));
}
},
s if s.starts_with("NUMERIC") => {
let decimal_val = match kind {
Kind::StringValue(s) => {
let trimmed = s.trim();
if trimmed.is_empty() {
None
} else {
Some(Decimal::from_str(trimmed).map_err(|_| {
Status::invalid_argument(format!(
"Invalid decimal string format for column '{}': {}",
col, s
))
})?)
}
}
_ => {
return Err(Status::invalid_argument(format!(
"Expected a string representation for decimal column '{}', but received a different type.",
col
)));
}
};
params.add(decimal_val).map_err(|e| {
Status::invalid_argument(format!(
"Failed to add decimal parameter for {}: {}",
col, e
))
})?;
},
_ => return Err(Status::invalid_argument(format!("Unsupported type {}", sql_type))),
}
set_clauses.push(format!("\"{}\" = ${}", col, param_idx));
@@ -456,6 +422,7 @@ pub async fn put_table_data(
});
}
// Execute the UPDATE query
let set_clause = set_clauses.join(", ");
let sql = format!(
"UPDATE {} SET {} WHERE id = ${} RETURNING id",
@@ -464,8 +431,6 @@ pub async fn put_table_data(
param_idx
);
println!("UPDATE SQL: {}", sql);
params.add(record_id).map_err(|e| Status::internal(format!("Failed to add record_id parameter: {}", e)))?;
let result = sqlx::query_scalar_with::<_, i64, _>(&sql, params)
@@ -476,6 +441,7 @@ pub async fn put_table_data(
Ok(Some(id)) => id,
Ok(None) => return Err(Status::not_found("Record not found")),
Err(e) => {
// Handle specific database errors with user-friendly messages
if let Some(db_err) = e.as_database_error() {
if db_err.code() == Some(std::borrow::Cow::Borrowed("22P02")) ||
db_err.code() == Some(std::borrow::Cow::Borrowed("22003")) {
@@ -488,7 +454,7 @@ pub async fn put_table_data(
}
};
// --- Indexer Command ---
// Queue record for search index update
let command = IndexCommand::AddOrUpdate(IndexCommandData {
table_name: table_name.clone(),
row_id: updated_id,
@@ -501,9 +467,6 @@ pub async fn put_table_data(
);
}
println!("=== PUT TABLE DATA SUCCESS ===");
println!("Updated record ID: {}", updated_id);
Ok(PutTableDataResponse {
success: true,
message: "Data updated successfully".into(),