| 1 | // SPDX-License-Identifier: GPL-3.0-or-later |
| 2 | |
| 3 | #include "mcp-tools-execute-function.h" |
| 4 | #include "mcp-tools-execute-function-internal.h" |
| 5 | #include "mcp-tools-execute-function-registry.h" |
| 6 | #include "mcp-params.h" |
| 7 | #include "database/rrdfunctions.h" |
| 8 | |
| 9 | // Analyze the JSON response and determine its type |
| 10 | MCP_FUNCTION_TYPE mcp_functions_analyze_response(struct json_object *json_obj, int *out_status) { |
| 11 | if (!json_obj) return FN_TYPE_UNKNOWN; |
| 12 | |
| 13 | struct json_object *type_obj = NULL; |
| 14 | struct json_object *has_history_obj = NULL; |
| 15 | struct json_object *status_obj = NULL; |
| 16 | |
| 17 | // Type is required |
| 18 | if (!json_object_object_get_ex(json_obj, "type", &type_obj)) { |
| 19 | return FN_TYPE_NOT_TABLE; |
| 20 | } |
| 21 | |
| 22 | const char *type = json_object_get_string(type_obj); |
| 23 | if (!type || strcmp(type, "table") != 0) { |
| 24 | return FN_TYPE_NOT_TABLE; |
| 25 | } |
| 26 | |
| 27 | // has_history is optional - assume false if missing |
| 28 | bool has_history = false; |
| 29 | if (json_object_object_get_ex(json_obj, "has_history", &has_history_obj)) { |
| 30 | has_history = json_object_get_boolean(has_history_obj); |
| 31 | } |
| 32 | |
| 33 | // Status is optional - assume 200 if missing |
| 34 | int status = 200; |
| 35 | if (json_object_object_get_ex(json_obj, "status", &status_obj)) { |
| 36 | status = json_object_get_int(status_obj); |
| 37 | } |
| 38 | |
| 39 | if (out_status) *out_status = status; |
| 40 | |
| 41 | // Return appropriate type based on has_history |
| 42 | if (has_history) { |
| 43 | return FN_TYPE_TABLE_WITH_HISTORY; |
| 44 | } else { |
| 45 | return FN_TYPE_TABLE; |
| 46 | } |
| 47 | } |
| 48 | |
| 49 | // Helper function to create a filtered copy of a column definition |
| 50 | static struct json_object *create_filtered_column(struct json_object *col_obj, const char *col_id) { |
| 51 | struct json_object *col_copy = json_object_new_object(); |
| 52 | |
| 53 | // Handle type conversion for better LLM understanding |
| 54 | struct json_object *type_obj = NULL; |
| 55 | if (json_object_object_get_ex(col_obj, "type", &type_obj) && |
| 56 | json_object_is_type(type_obj, json_type_string)) { |
| 57 | const char *type_str = json_object_get_string(type_obj); |
| 58 | RRDF_FIELD_TYPE field_type = RRDF_FIELD_TYPE_2id(type_str); |
| 59 | |
| 60 | // Replace the original type with a simplified scalar type for LLM |
| 61 | json_object_object_add(col_copy, "type", |
| 62 | json_object_new_string(field_type_to_json_scalar_type(field_type))); |
| 63 | } |
| 64 | |
| 65 | // Copy only necessary properties |
| 66 | struct json_object_iterator col_it = json_object_iter_begin(col_obj); |
| 67 | struct json_object_iterator col_itEnd = json_object_iter_end(col_obj); |
| 68 | |
| 69 | while (!json_object_iter_equal(&col_it, &col_itEnd)) { |
| 70 | const char *field_key = json_object_iter_peek_name(&col_it); |
| 71 | struct json_object *field_val = json_object_iter_peek_value(&col_it); |
| 72 | |
| 73 | // Skip properties we don't need for LLM |
| 74 | if (strcmp(field_key, "visible") != 0 && |
| 75 | strcmp(field_key, "visualization") != 0 && |
| 76 | strcmp(field_key, "value_options") != 0 && |
| 77 | strcmp(field_key, "sort") != 0 && |
| 78 | strcmp(field_key, "sortable") != 0 && |
| 79 | strcmp(field_key, "sticky") != 0 && |
| 80 | strcmp(field_key, "summary") != 0 && |
| 81 | strcmp(field_key, "filter") != 0 && |
| 82 | strcmp(field_key, "full_width") != 0 && |
| 83 | strcmp(field_key, "wrap") != 0 && |
| 84 | strcmp(field_key, "default_expanded_filter") != 0 && |
| 85 | strcmp(field_key, "unique_key") != 0 && |
| 86 | // Skip type as we've already handled it |
| 87 | strcmp(field_key, "type") != 0) { |
| 88 | |
| 89 | // Skip "name" field if it's the same as the column id |
| 90 | if (strcmp(field_key, "name") == 0 && col_id) { |
| 91 | if (json_object_is_type(field_val, json_type_string)) { |
| 92 | const char *name_str = json_object_get_string(field_val); |
| 93 | if (name_str && strcmp(col_id, name_str) == 0) { |
| 94 | // Name is same as id, skip it |
| 95 | json_object_iter_next(&col_it); |
| 96 | continue; |
| 97 | } |
| 98 | } |
| 99 | } |
| 100 | |
| 101 | json_object_object_add(col_copy, field_key, json_object_get(field_val)); |
| 102 | } |
| 103 | |
| 104 | json_object_iter_next(&col_it); |
| 105 | } |
| 106 | |
| 107 | return col_copy; |
| 108 | } |
| 109 | |
| 110 | |
| 111 | // Structure to hold column type and transform information |
| 112 | typedef struct column_transform_info { |
| 113 | RRDF_FIELD_TYPE type; |
| 114 | RRDF_FIELD_TRANSFORM transform; |
| 115 | } COLUMN_TRANSFORM_INFO; |
| 116 | |
| 117 | // Check if a column represents a timestamp |
| 118 | static inline bool is_transformable_timestamp(RRDF_FIELD_TYPE type, RRDF_FIELD_TRANSFORM transform) { |
| 119 | return (type == RRDF_FIELD_TYPE_TIMESTAMP || |
| 120 | transform == RRDF_FIELD_TRANSFORM_DATETIME_MS || |
| 121 | transform == RRDF_FIELD_TRANSFORM_DATETIME_USEC); |
| 122 | } |
| 123 | |
| 124 | // Check if a column represents a duration |
| 125 | static inline bool is_transformable_duration(RRDF_FIELD_TYPE type, RRDF_FIELD_TRANSFORM transform) { |
| 126 | (void)transform; // unused for duration |
| 127 | return (type == RRDF_FIELD_TYPE_DURATION); |
| 128 | } |
| 129 | |
| 130 | // Check if a column type/transform combination should be transformed to string |
| 131 | static inline bool is_transformable_to_string(RRDF_FIELD_TYPE type, RRDF_FIELD_TRANSFORM transform) { |
| 132 | return is_transformable_timestamp(type, transform) || is_transformable_duration(type, transform); |
| 133 | } |
| 134 | |
| 135 | // Transform a value based on its type and transform settings |
| 136 | // Returns either a new object (caller owns) or NULL if no transformation needed |
| 137 | // IMPORTANT: When this returns a non-NULL value, it's a NEW object that the caller owns. |
| 138 | // When it returns NULL, the caller should use json_object_get() on the original value |
| 139 | // if they need to store it somewhere that takes ownership. |
| 140 | static struct json_object *transform_value_for_mcp(struct json_object *val, RRDF_FIELD_TYPE type, RRDF_FIELD_TRANSFORM transform) { |
| 141 | if (!val || json_object_is_type(val, json_type_null)) |
| 142 | return NULL; |
| 143 | |
| 144 | // If it's not an integer, no transformation possible |
| 145 | if (!json_object_is_type(val, json_type_int)) |
| 146 | return NULL; |
| 147 | |
| 148 | int64_t num_val = json_object_get_int64(val); |
| 149 | |
| 150 | if (is_transformable_timestamp(type, transform)) { |
| 151 | // Convert to microseconds based on transform |
| 152 | usec_t usec_val; |
| 153 | if (transform == RRDF_FIELD_TRANSFORM_DATETIME_MS) { |
| 154 | usec_val = (usec_t)num_val * USEC_PER_MS; |
| 155 | } else if (transform == RRDF_FIELD_TRANSFORM_DATETIME_USEC) { |
| 156 | usec_val = (usec_t)num_val; |
| 157 | } else { |
| 158 | // Default: seconds |
| 159 | usec_val = (usec_t)num_val * USEC_PER_SEC; |
| 160 | } |
| 161 | |
| 162 | // Format as RFC3339 |
| 163 | char datetime_buf[RFC3339_MAX_LENGTH]; |
| 164 | rfc3339_datetime_ut(datetime_buf, sizeof(datetime_buf), usec_val, 0, true); |
| 165 | return json_object_new_string(datetime_buf); |
| 166 | } else if (is_transformable_duration(type, transform)) { |
| 167 | // Duration is always in seconds |
| 168 | char duration_buf[256]; |
| 169 | duration_snprintf_time_t(duration_buf, sizeof(duration_buf), (time_t)num_val); |
| 170 | return json_object_new_string(duration_buf); |
| 171 | } |
| 172 | |
| 173 | // Value is 0 or negative, no transformation |
| 174 | return NULL; |
| 175 | } |
| 176 | |
| 177 | // Extract column transform information from column definitions |
| 178 | static void extract_column_transforms(struct json_object *columns_obj, |
| 179 | const int *column_indices, |
| 180 | char **column_names, |
| 181 | size_t selected_count, |
| 182 | COLUMN_TRANSFORM_INFO *col_transforms) { |
| 183 | for (size_t i = 0; i < selected_count; i++) { |
| 184 | int col_idx = column_indices[i]; |
| 185 | const char *col_name = column_names[col_idx]; |
| 186 | |
| 187 | struct json_object *col_obj = NULL; |
| 188 | if (json_object_object_get_ex(columns_obj, col_name, &col_obj)) { |
| 189 | // Get type |
| 190 | struct json_object *type_obj = NULL; |
| 191 | if (json_object_object_get_ex(col_obj, "type", &type_obj) && |
| 192 | json_object_is_type(type_obj, json_type_string)) { |
| 193 | const char *type_str = json_object_get_string(type_obj); |
| 194 | col_transforms[i].type = RRDF_FIELD_TYPE_2id(type_str); |
| 195 | } |
| 196 | |
| 197 | // Get transform from value_options |
| 198 | struct json_object *value_options_obj = NULL; |
| 199 | if (json_object_object_get_ex(col_obj, "value_options", &value_options_obj) && |
| 200 | json_object_is_type(value_options_obj, json_type_object)) { |
| 201 | // value_options is an object, extract the "transform" field |
| 202 | struct json_object *transform_obj = NULL; |
| 203 | if (json_object_object_get_ex(value_options_obj, "transform", &transform_obj) && |
| 204 | json_object_is_type(transform_obj, json_type_string)) { |
| 205 | const char *transform_str = json_object_get_string(transform_obj); |
| 206 | col_transforms[i].transform = RRDF_FIELD_TRANSFORM_2id(transform_str); |
| 207 | } |
| 208 | } |
| 209 | } |
| 210 | } |
| 211 | } |
| 212 | |
| 213 | // Convert string operator to enum type |
| 214 | OPERATOR_TYPE mcp_functions_string_to_operator(const char *op_str) { |
| 215 | if (!op_str) |
| 216 | return OP_UNKNOWN; |
| 217 | |
| 218 | if (strcmp(op_str, "==") == 0) |
| 219 | return OP_EQUALS; |
| 220 | |
| 221 | if (strcmp(op_str, "!=") == 0 || strcmp(op_str, "<>") == 0) |
| 222 | return OP_NOT_EQUALS; |
| 223 | |
| 224 | if (strcmp(op_str, "<") == 0) |
| 225 | return OP_LESS; |
| 226 | |
| 227 | if (strcmp(op_str, "<=") == 0) |
| 228 | return OP_LESS_EQUALS; |
| 229 | |
| 230 | if (strcmp(op_str, ">") == 0) |
| 231 | return OP_GREATER; |
| 232 | |
| 233 | if (strcmp(op_str, ">=") == 0) |
| 234 | return OP_GREATER_EQUALS; |
| 235 | |
| 236 | if (strcmp(op_str, "match") == 0 || strcmp(op_str, "like") == 0 || strcmp(op_str, "in") == 0) |
| 237 | return OP_MATCH; |
| 238 | |
| 239 | if (strcmp(op_str, "not match") == 0 || strcmp(op_str, "not like") == 0 || strcmp(op_str, "not in") == 0) |
| 240 | return OP_NOT_MATCH; |
| 241 | |
| 242 | return OP_UNKNOWN; |
| 243 | } |
| 244 | |
| 245 | // Free patterns in the condition array |
| 246 | void mcp_functions_free_condition_patterns(CONDITION_ARRAY *condition_array) { |
| 247 | if (!condition_array) |
| 248 | return; |
| 249 | |
| 250 | for (size_t i = 0; i < condition_array->count; i++) { |
| 251 | if (condition_array->items[i].pattern) |
| 252 | simple_pattern_free(condition_array->items[i].pattern); |
| 253 | } |
| 254 | } |
| 255 | |
| 256 | // Check if a single value matches a condition |
| 257 | static bool value_matches_condition(struct json_object *value, const CONDITION *condition) |
| 258 | { |
| 259 | if (!value || !condition) |
| 260 | return false; |
| 261 | |
| 262 | // Handle NULL values |
| 263 | if (json_object_is_type(value, json_type_null)) { |
| 264 | if (condition->v_type == COND_VALUE_NULL) { |
| 265 | return (condition->op == OP_EQUALS); |
| 266 | } else { |
| 267 | return (condition->op == OP_NOT_EQUALS); |
| 268 | } |
| 269 | } |
| 270 | |
| 271 | // Handle MATCH and NOT MATCH operators (pattern matching) - always convert to strings |
| 272 | if (condition->op == OP_MATCH || condition->op == OP_NOT_MATCH) { |
| 273 | if (condition->pattern) { |
| 274 | const char *val_str = json_object_get_string(value); |
| 275 | bool pattern_match = simple_pattern_matches(condition->pattern, val_str); |
| 276 | return (condition->op == OP_MATCH) ? pattern_match : !pattern_match; |
| 277 | } |
| 278 | return false; |
| 279 | } |
| 280 | |
| 281 | // Handle comparisons based on condition value type |
| 282 | if (condition->v_type == COND_VALUE_NUMBER) { |
| 283 | // Try to get numeric value from JSON |
| 284 | double val_num = 0.0; |
| 285 | if (json_object_is_type(value, json_type_int) || json_object_is_type(value, json_type_double)) { |
| 286 | val_num = json_object_get_double(value); |
| 287 | } else if (json_object_is_type(value, json_type_string)) { |
| 288 | // Try to parse string as number |
| 289 | char *endptr; |
| 290 | const char *str = json_object_get_string(value); |
| 291 | if (!str) { |
| 292 | // NULL string cannot be converted to number, fall back to string comparison |
| 293 | goto string_compare; |
| 294 | } |
| 295 | val_num = strtod(str, &endptr); |
| 296 | if (endptr == str || *endptr != '\0') { |
| 297 | // Not a valid number, do string comparison |
| 298 | goto string_compare; |
| 299 | } |
| 300 | } else { |
| 301 | // Can't convert to number, treat as not equal |
| 302 | return (condition->op == OP_NOT_EQUALS); |
| 303 | } |
| 304 | |
| 305 | switch (condition->op) { |
| 306 | case OP_EQUALS: |
| 307 | return (val_num == condition->v_num); |
| 308 | case OP_NOT_EQUALS: |
| 309 | return (val_num != condition->v_num); |
| 310 | case OP_LESS: |
| 311 | return (val_num < condition->v_num); |
| 312 | case OP_LESS_EQUALS: |
| 313 | return (val_num <= condition->v_num); |
| 314 | case OP_GREATER: |
| 315 | return (val_num > condition->v_num); |
| 316 | case OP_GREATER_EQUALS: |
| 317 | return (val_num >= condition->v_num); |
| 318 | default: |
| 319 | return false; |
| 320 | } |
| 321 | } else if (condition->v_type == COND_VALUE_BOOLEAN) { |
| 322 | bool val_bool = json_object_get_boolean(value); |
| 323 | |
| 324 | switch (condition->op) { |
| 325 | case OP_EQUALS: |
| 326 | return (val_bool == condition->v_bool); |
| 327 | case OP_NOT_EQUALS: |
| 328 | return (val_bool != condition->v_bool); |
| 329 | default: |
| 330 | // Boolean doesn't support ordering comparisons |
| 331 | return false; |
| 332 | } |
| 333 | } |
| 334 | |
| 335 | string_compare: |
| 336 | { |
| 337 | // String comparisons (including when condition is string or as fallback) |
| 338 | const char *val_str = json_object_get_string(value); |
| 339 | const char *cond_str = (condition->v_type == COND_VALUE_STRING) ? condition->v_str : NULL; |
| 340 | |
| 341 | // Handle NULL condition string |
| 342 | if (!cond_str) { |
| 343 | if (condition->v_type == COND_VALUE_NULL) { |
| 344 | return (condition->op == OP_EQUALS && !val_str); |
| 345 | } |
| 346 | // Use empty string for comparison |
| 347 | cond_str = ""; |
| 348 | } |
| 349 | |
| 350 | if (!val_str) |
| 351 | val_str = ""; |
| 352 | |
| 353 | int cmp = strcmp(val_str, cond_str); |
| 354 | |
| 355 | switch (condition->op) { |
| 356 | case OP_EQUALS: |
| 357 | return (cmp == 0); |
| 358 | case OP_NOT_EQUALS: |
| 359 | return (cmp != 0); |
| 360 | case OP_LESS: |
| 361 | return (cmp < 0); |
| 362 | case OP_LESS_EQUALS: |
| 363 | return (cmp <= 0); |
| 364 | case OP_GREATER: |
| 365 | return (cmp > 0); |
| 366 | case OP_GREATER_EQUALS: |
| 367 | return (cmp >= 0); |
| 368 | default: |
| 369 | return false; |
| 370 | } |
| 371 | } |
| 372 | } |
| 373 | |
| 374 | // Check if a row matches all the conditions |
| 375 | static bool row_matches_conditions(struct json_object *row, const CONDITION_ARRAY *conditions) { |
| 376 | if (!conditions || conditions->count == 0) |
| 377 | return true; // No conditions means everything matches |
| 378 | |
| 379 | for (size_t i = 0; i < conditions->count; i++) { |
| 380 | const CONDITION *current = &conditions->items[i]; |
| 381 | bool condition_match = false; |
| 382 | |
| 383 | // Special case: column_index == -1 means search all columns |
| 384 | if (current->column_index == -1) { |
| 385 | // Search across all columns for a match |
| 386 | size_t row_length = json_object_array_length(row); |
| 387 | for (size_t col_idx = 0; col_idx < row_length; col_idx++) { |
| 388 | struct json_object *row_val = json_object_array_get_idx(row, col_idx); |
| 389 | if (!row_val) continue; |
| 390 | |
| 391 | // Check if this column value matches the condition |
| 392 | if (value_matches_condition(row_val, current)) { |
| 393 | condition_match = true; |
| 394 | break; // Found a match, no need to check other columns |
| 395 | } |
| 396 | } |
| 397 | } |
| 398 | else { |
| 399 | // Normal case: specific column index |
| 400 | struct json_object *row_val = json_object_array_get_idx(row, current->column_index); |
| 401 | |
| 402 | // Handle null values |
| 403 | if (!row_val) { |
| 404 | return false; |
| 405 | } |
| 406 | |
| 407 | condition_match = value_matches_condition(row_val, current); |
| 408 | } |
| 409 | |
| 410 | // If any condition doesn't match, return false |
| 411 | if (!condition_match) { |
| 412 | return false; |
| 413 | } |
| 414 | } |
| 415 | |
| 416 | // All conditions matched |
| 417 | return true; |
| 418 | } |
| 419 | |
| 420 | // Resolve column indices for conditions that were parsed during request parsing |
| 421 | static void resolve_condition_columns(CONDITION_ARRAY *condition_array, struct json_object *columns_obj) { |
| 422 | if (!condition_array || !columns_obj || condition_array->count == 0) |
| 423 | return; |
| 424 | |
| 425 | condition_array->has_missing_columns = false; |
| 426 | |
| 427 | for (size_t i = 0; i < condition_array->count; i++) { |
| 428 | CONDITION *curr = &condition_array->items[i]; |
| 429 | |
| 430 | // Check for special column names that mean "search all columns" |
| 431 | bool is_all_columns = (strcmp(curr->column_name, "*") == 0 || strcmp(curr->column_name, "") == 0); |
| 432 | |
| 433 | // Find column in column definitions |
| 434 | struct json_object *col_obj = NULL; |
| 435 | if (is_all_columns || !json_object_object_get_ex(columns_obj, curr->column_name, &col_obj)) { |
| 436 | // Column not found or explicitly all columns - mark it as a wildcard search (use -1 as special index) |
| 437 | curr->column_index = -1; |
| 438 | |
| 439 | // Only report as missing if it's not a special "all columns" indicator |
| 440 | if (!is_all_columns) { |
| 441 | condition_array->has_missing_columns = true; |
| 442 | } |
| 443 | } else { |
| 444 | // Get column index |
| 445 | struct json_object *index_obj = NULL; |
| 446 | if (json_object_object_get_ex(col_obj, "index", &index_obj)) { |
| 447 | curr->column_index = json_object_get_int(index_obj); |
| 448 | } else { |
| 449 | // Column found but no index - treat as missing |
| 450 | curr->column_index = -1; |
| 451 | condition_array->has_missing_columns = true; |
| 452 | } |
| 453 | } |
| 454 | } |
| 455 | } |
| 456 | |
| 457 | // Flags to indicate what additional content should be added for errors |
| 458 | typedef enum { |
| 459 | MCP_TABLE_ADD_NOTHING = 0, |
| 460 | MCP_TABLE_ADD_COLUMNS = 1 << 0, |
| 461 | MCP_TABLE_ADD_RAW_DATA = 1 << 1, |
| 462 | MCP_TABLE_ADD_FILTERING_INSTRUCTIONS = 1 << 2 |
| 463 | } MCP_TABLE_ADDITIONAL_CONTENT; |
| 464 | |
| 465 | // Forward declaration |
| 466 | static usec_t calculate_next_cursor_from_input(MCP_FUNCTION_DATA *data); |
| 467 | |
| 468 | // Initialize MCP_FUNCTION_DATA structure |
| 469 | void mcp_functions_data_init(MCP_FUNCTION_DATA *data) { |
| 470 | memset(data, 0, sizeof(MCP_FUNCTION_DATA)); |
| 471 | data->output.result = buffer_create(0, NULL); |
| 472 | } |
| 473 | |
| 474 | // Clean up MCP_FUNCTION_DATA structure |
| 475 | void mcp_functions_data_cleanup(MCP_FUNCTION_DATA *data) { |
| 476 | if (!data) return; |
| 477 | |
| 478 | // Free the parsed JSON object |
| 479 | if (data->input.jobj) { |
| 480 | json_object_put(data->input.jobj); |
| 481 | data->input.jobj = NULL; |
| 482 | } |
| 483 | |
| 484 | // Free the output result buffer |
| 485 | if (data->output.result) { |
| 486 | buffer_free(data->output.result); |
| 487 | data->output.result = NULL; |
| 488 | } |
| 489 | |
| 490 | // Free condition patterns |
| 491 | mcp_functions_free_condition_patterns(&data->request.conditions); |
| 492 | |
| 493 | // Free pagination column string |
| 494 | string_freez(data->pagination.column); |
| 495 | |
| 496 | // Free the input JSON buffer |
| 497 | if (data->input.json) { |
| 498 | buffer_free(data->input.json); |
| 499 | data->input.json = NULL; |
| 500 | } |
| 501 | } |
| 502 | |
| 503 | // Reset output for reprocessing |
| 504 | static void mcp_function_data_reset_output(MCP_FUNCTION_DATA *data) { |
| 505 | buffer_flush(data->output.result); |
| 506 | data->output.status = MCP_TABLE_OK; |
| 507 | data->output.rows = 0; |
| 508 | data->output.columns = 0; |
| 509 | } |
| 510 | |
| 511 | // Helper to create a filtered columns object for error messages |
| 512 | static struct json_object *create_filtered_columns_for_errors(struct json_object *columns_obj) { |
| 513 | if (!columns_obj) return NULL; |
| 514 | |
| 515 | struct json_object *filtered = json_object_new_object(); |
| 516 | struct json_object_iterator it = json_object_iter_begin(columns_obj); |
| 517 | struct json_object_iterator itEnd = json_object_iter_end(columns_obj); |
| 518 | |
| 519 | while (!json_object_iter_equal(&it, &itEnd)) { |
| 520 | const char *col_name = json_object_iter_peek_name(&it); |
| 521 | struct json_object *col_obj = json_object_iter_peek_value(&it); |
| 522 | |
| 523 | if (col_obj) { |
| 524 | struct json_object *filtered_col = create_filtered_column(col_obj, col_name); |
| 525 | json_object_object_add(filtered, col_name, filtered_col); |
| 526 | } |
| 527 | |
| 528 | json_object_iter_next(&it); |
| 529 | } |
| 530 | |
| 531 | return filtered; |
| 532 | } |
| 533 | |
| 534 | // Helper function to generate comprehensive error messages for LLMs |
| 535 | static MCP_TABLE_ADDITIONAL_CONTENT generate_table_error_message(MCP_FUNCTION_DATA *data) { |
| 536 | buffer_flush(data->request.mcpc->error); |
| 537 | MCP_TABLE_ADDITIONAL_CONTENT additional_content = MCP_TABLE_ADD_NOTHING; |
| 538 | |
| 539 | switch (data->output.status) { |
| 540 | case MCP_TABLE_ERROR_INVALID_CONDITIONS: |
| 541 | buffer_sprintf(data->request.mcpc->error, |
| 542 | "Error processing conditions: %s\n\n" |
| 543 | "Conditions should be formatted as:\n" |
| 544 | "```json\n" |
| 545 | "\"conditions\": [\n" |
| 546 | " [\"column_name\", \"operator\", value],\n" |
| 547 | " [\"another_column\", \"another_operator\", another_value]\n" |
| 548 | "]\n" |
| 549 | "```", |
| 550 | buffer_tostring(data->output.result) |
| 551 | ); |
| 552 | additional_content = MCP_TABLE_ADD_FILTERING_INSTRUCTIONS; |
| 553 | break; |
| 554 | |
| 555 | case MCP_TABLE_ERROR_NO_MATCHES_WITH_MISSING_COLUMNS: |
| 556 | buffer_strcat(data->request.mcpc->error, |
| 557 | "No rows matched the specified conditions.\n\n" |
| 558 | "Note: Some columns were not found, so a full-text search was performed across all columns, but no matches were found." |
| 559 | ); |
| 560 | additional_content = MCP_TABLE_ADD_COLUMNS | MCP_TABLE_ADD_FILTERING_INSTRUCTIONS; |
| 561 | break; |
| 562 | |
| 563 | case MCP_TABLE_ERROR_NO_MATCHES: |
| 564 | buffer_strcat(data->request.mcpc->error, |
| 565 | "No results match the specified conditions.\n\n" |
| 566 | "Tips:\n" |
| 567 | "• Verify the column names in your conditions\n" |
| 568 | "• Check the values and operators used\n" |
| 569 | "• For 'match' operators, ensure your pattern format is correct\n" |
| 570 | "• To match multiple values, use 'match' with patterns separated by the pipe (|) character: '*value1*|*value2*'\n" |
| 571 | "• Try broadening your filter criteria" |
| 572 | ); |
| 573 | additional_content = MCP_TABLE_ADD_COLUMNS | MCP_TABLE_ADD_FILTERING_INSTRUCTIONS; |
| 574 | break; |
| 575 | |
| 576 | case MCP_TABLE_ERROR_INVALID_SORT_ORDER: |
| 577 | buffer_sprintf(data->request.mcpc->error, |
| 578 | "Invalid sort_order: '%s'. Valid options are 'asc' (ascending) or 'desc' (descending).\n\n" |
| 579 | "Example:\n" |
| 580 | "```json\n" |
| 581 | "\"sort_order\": \"desc\"\n" |
| 582 | "```", |
| 583 | buffer_tostring(data->output.result) |
| 584 | ); |
| 585 | additional_content = MCP_TABLE_ADD_NOTHING; |
| 586 | break; |
| 587 | |
| 588 | case MCP_TABLE_ERROR_COLUMNS_NOT_FOUND: |
| 589 | buffer_sprintf(data->request.mcpc->error, |
| 590 | "Column(s) not found: %s", |
| 591 | buffer_tostring(data->output.result) |
| 592 | ); |
| 593 | additional_content = MCP_TABLE_ADD_COLUMNS; |
| 594 | break; |
| 595 | |
| 596 | case MCP_TABLE_ERROR_SORT_COLUMN_NOT_FOUND: |
| 597 | buffer_sprintf(data->request.mcpc->error, |
| 598 | "Sort column '%s' not found.", |
| 599 | buffer_tostring(data->output.result) |
| 600 | ); |
| 601 | additional_content = MCP_TABLE_ADD_COLUMNS; |
| 602 | break; |
| 603 | |
| 604 | case MCP_TABLE_ERROR_TOO_MANY_COLUMNS: |
| 605 | buffer_sprintf(data->request.mcpc->error, |
| 606 | "Error: Table has %zu columns, which exceeds the maximum supported (%d). Showing raw output.", |
| 607 | data->input.columns, MAX_COLUMNS |
| 608 | ); |
| 609 | additional_content = MCP_TABLE_ADD_RAW_DATA; |
| 610 | break; |
| 611 | |
| 612 | case MCP_TABLE_NOT_JSON: |
| 613 | buffer_strcat(data->request.mcpc->error, |
| 614 | "This response is not valid JSON. Showing raw output."); |
| 615 | additional_content = MCP_TABLE_ADD_RAW_DATA; |
| 616 | break; |
| 617 | |
| 618 | case MCP_TABLE_NOT_PROCESSABLE: |
| 619 | buffer_strcat(data->request.mcpc->error, |
| 620 | "The function returned JSON but it's not a table format we can filter. Showing raw output."); |
| 621 | additional_content = MCP_TABLE_ADD_RAW_DATA; |
| 622 | break; |
| 623 | |
| 624 | case MCP_TABLE_EMPTY_RESULT: { |
| 625 | buffer_strcat(data->request.mcpc->error, |
| 626 | "The function returned an empty result (no rows)."); |
| 627 | |
| 628 | // Add contextual tips based on what parameters were used |
| 629 | bool has_history = (data->input.type == FN_TYPE_TABLE_WITH_HISTORY); |
| 630 | bool has_query = (data->request.query && *data->request.query); |
| 631 | bool has_conditions = (data->request.conditions.count > (has_query ? 1 : 0)); |
| 632 | |
| 633 | if(has_history || has_query || has_conditions) { |
| 634 | buffer_strcat(data->request.mcpc->error, "\n\nTips:"); |
| 635 | } |
| 636 | |
| 637 | if (has_history) |
| 638 | buffer_strcat(data->request.mcpc->error, "\n• Expand the search time window by adjusting 'after' and 'before' parameters"); |
| 639 | |
| 640 | if (has_query) |
| 641 | buffer_strcat(data->request.mcpc->error, |
| 642 | "\n• Review the search query terms in 'q' parameter" |
| 643 | "\n - Use wildcards: '*error*', '*warning*', '*fail*'" |
| 644 | "\n - Combine terms: '*systemd*|*kernel*', '*eth0*|*eth1*'"); |
| 645 | |
| 646 | if (has_conditions) { |
| 647 | buffer_strcat(data->request.mcpc->error, |
| 648 | "\n• Review the conditions - ensure column names and values match"); |
| 649 | } |
| 650 | |
| 651 | additional_content = MCP_TABLE_ADD_COLUMNS; |
| 652 | break; |
| 653 | } |
| 654 | |
| 655 | case MCP_TABLE_INFO_MISSING_COLUMNS_FOUND_RESULTS: |
| 656 | buffer_strcat(data->request.mcpc->error, |
| 657 | "Note: Not all columns in the conditions were found, so a full-text search was performed across all columns, and matching results were found."); |
| 658 | additional_content = MCP_TABLE_ADD_NOTHING; |
| 659 | break; |
| 660 | |
| 661 | case MCP_TABLE_RESPONSE_TOO_BIG: |
| 662 | buffer_sprintf(data->request.mcpc->error, |
| 663 | "The response is too big, having %zu rows and %zu columns. Limiting to 1 row for readability.", |
| 664 | data->input.rows, data->input.columns |
| 665 | ); |
| 666 | additional_content = MCP_TABLE_ADD_FILTERING_INSTRUCTIONS; |
| 667 | break; |
| 668 | |
| 669 | default: |
| 670 | additional_content = MCP_TABLE_ADD_NOTHING; |
| 671 | break; |
| 672 | } |
| 673 | |
| 674 | return additional_content; |
| 675 | } |
| 676 | |
| 677 | // Helper to add filtering instructions as a separate content entry |
| 678 | static void add_filtering_instructions_to_mcp_result(MCP_CLIENT *mcpc, bool has_history) { |
| 679 | buffer_json_add_array_item_object(mcpc->result); |
| 680 | { |
| 681 | buffer_json_member_add_string(mcpc->result, "type", "text"); |
| 682 | |
| 683 | if (has_history) { |
| 684 | // Instructions for history/logs functions (limited capabilities) |
| 685 | buffer_json_member_add_string(mcpc->result, "text", |
| 686 | "FILTERING INSTRUCTIONS:\n" |
| 687 | "• **columns**: Select specific columns to reduce width (e.g., [\"Column1\", \"Column2\", \"Column3\"])\n" |
| 688 | "• **conditions**: Filter rows using exact matches and value sets:\n" |
| 689 | " - Single value: [\"column\", \"==\", \"exact_value\"]\n" |
| 690 | " - Multiple values: [\"column\", \"match\", \"value1|value2|value3\"] (values are OR'd)\n" |
| 691 | "• **limit**: Control number of rows returned (e.g., 10)\n" |
| 692 | "• **q**: Full-text search across all columns (simple patterns like \"*term1*|*term2*\")\n" |
| 693 | "• **direction**: Controls time-based sorting (\"forward\" or \"backward\")\n" |
| 694 | "\n" |
| 695 | "Example filtering:\n" |
| 696 | "```json\n" |
| 697 | "{\n" |
| 698 | " \"columns\": [\"MESSAGE\", \"PRIORITY\", \"_HOSTNAME\"],\n" |
| 699 | " \"conditions\": [\n" |
| 700 | " [\"PRIORITY\", \"match\", \"1|2|3\"],\n" |
| 701 | " [\"_HOSTNAME\", \"=\", \"server1\"]\n" |
| 702 | " ],\n" |
| 703 | " \"q\": \"*systemd*|*logind*|*dbus*\",\n" |
| 704 | " \"direction\": \"backward\",\n" |
| 705 | " \"limit\": 20\n" |
| 706 | "}\n" |
| 707 | "```\n" |
| 708 | "\n" |
| 709 | "Valid operators for history functions: == (exact match), match (value set with | separator)\n" |
| 710 | "Invalid operators: !=, <>, not match, <, <=, >, >=\n" |
| 711 | "Full-text search: Use 'q' parameter with wildcards like '*pattern1*|*pattern2*' to search all columns\n" |
| 712 | "Sorting: Use 'direction' parameter only - column sorting is not supported for history functions" |
| 713 | ); |
| 714 | } else { |
| 715 | // Instructions for regular functions (full capabilities) |
| 716 | buffer_json_member_add_string(mcpc->result, "text", |
| 717 | "FILTERING INSTRUCTIONS:\n" |
| 718 | "• **columns**: Select specific columns to reduce width (e.g., [\"Column1\", \"Column2\", \"Column3\"])\n" |
| 719 | "• **conditions**: Filter rows using [ [column1, operator1, value1], [column2, operator2, value2], ... ]\n" |
| 720 | "• **limit**: Control number of rows returned (e.g., 10)\n" |
| 721 | "• **q**: Full-text search across all columns (supports wildcards like \"*term1*|*term2*\")\n" |
| 722 | "• **sort_column** + **sort_order**: Order results by a column ('asc' or 'desc')\n" |
| 723 | "\n" |
| 724 | "Example filtering:\n" |
| 725 | "```json\n" |
| 726 | "{\n" |
| 727 | " \"columns\": [\"CmdLine\", \"CPU\", \"Memory\", \"Status\"],\n" |
| 728 | " \"conditions\": [\n" |
| 729 | " [\"Memory\", \">\", 1.0],\n" |
| 730 | " [\"CmdLine\", \"match\", \"*systemd*|*postgresql*|*docker*\"],\n" |
| 731 | " ],\n" |
| 732 | " \"sort_column\": \"CPU\",\n" |
| 733 | " \"sort_order\": \"desc\",\n" |
| 734 | " \"limit\": 10\n" |
| 735 | "}\n" |
| 736 | "```\n" |
| 737 | "\n" |
| 738 | "Operators: ==, !=, <, <=, >, >=, match (simple pattern), not match (simple pattern)\n" |
| 739 | "Simple patterns: '*this*|*that*|*other*' (wildcard search to find strings that include 'this', or 'that', or 'other')\n" |
| 740 | ); |
| 741 | } |
| 742 | } |
| 743 | buffer_json_object_close(mcpc->result); |
| 744 | } |
| 745 | |
| 746 | // Helper to add columns info as a separate content entry |
| 747 | static void add_columns_info_to_mcp_result(MCP_CLIENT *mcpc, struct json_object *columns_obj) { |
| 748 | if (!columns_obj) return; |
| 749 | |
| 750 | struct json_object *filtered_columns = create_filtered_columns_for_errors(columns_obj); |
| 751 | if (filtered_columns) { |
| 752 | // Create wrapper object |
| 753 | struct json_object *wrapper = json_object_new_object(); |
| 754 | json_object_object_add(wrapper, "available_columns", filtered_columns); |
| 755 | |
| 756 | const char *columns_json = json_object_to_json_string_ext(wrapper, JSON_C_TO_STRING_PRETTY); |
| 757 | |
| 758 | buffer_json_add_array_item_object(mcpc->result); |
| 759 | { |
| 760 | buffer_json_member_add_string(mcpc->result, "type", "text"); |
| 761 | buffer_json_member_add_string(mcpc->result, "text", columns_json); |
| 762 | } |
| 763 | buffer_json_object_close(mcpc->result); |
| 764 | |
| 765 | json_object_put(wrapper); |
| 766 | } |
| 767 | } |
| 768 | |
| 769 | // Helper to add messages to MCP result based on table result status |
| 770 | static void add_table_messages_to_mcp_result(MCP_FUNCTION_DATA *data, |
| 771 | struct json_object *columns_obj) { |
| 772 | // Generate the appropriate error message and get additional content flags |
| 773 | MCP_TABLE_ADDITIONAL_CONTENT additional_content = generate_table_error_message(data); |
| 774 | |
| 775 | // Add the message if there's an error or guidance |
| 776 | if (data->output.status != MCP_TABLE_OK && buffer_strlen(data->request.mcpc->error) > 0) { |
| 777 | buffer_json_add_array_item_object(data->request.mcpc->result); |
| 778 | { |
| 779 | buffer_json_member_add_string(data->request.mcpc->result, "type", "text"); |
| 780 | buffer_json_member_add_string(data->request.mcpc->result, "text", buffer_tostring(data->request.mcpc->error)); |
| 781 | } |
| 782 | buffer_json_object_close(data->request.mcpc->result); |
| 783 | } |
| 784 | |
| 785 | // Add columns info if requested |
| 786 | if ((additional_content & MCP_TABLE_ADD_COLUMNS) && columns_obj) { |
| 787 | add_columns_info_to_mcp_result(data->request.mcpc, columns_obj); |
| 788 | } |
| 789 | |
| 790 | // Add filtering instructions if requested |
| 791 | if (additional_content & MCP_TABLE_ADD_FILTERING_INSTRUCTIONS) { |
| 792 | bool has_history = (data->input.type == FN_TYPE_TABLE_WITH_HISTORY); |
| 793 | add_filtering_instructions_to_mcp_result(data->request.mcpc, has_history); |
| 794 | } |
| 795 | |
| 796 | // Add raw data if requested |
| 797 | if ((additional_content & MCP_TABLE_ADD_RAW_DATA) && |
| 798 | buffer_strlen(data->output.result) > 0) { |
| 799 | buffer_json_add_array_item_object(data->request.mcpc->result); |
| 800 | { |
| 801 | buffer_json_member_add_string(data->request.mcpc->result, "type", "text"); |
| 802 | buffer_json_member_add_string(data->request.mcpc->result, "text", buffer_tostring(data->output.result)); |
| 803 | } |
| 804 | buffer_json_object_close(data->request.mcpc->result); |
| 805 | } |
| 806 | } |
| 807 | |
| 808 | void mcp_tool_execute_function_schema(BUFFER *buffer) { |
| 809 | // Tool input schema |
| 810 | buffer_json_member_add_object(buffer, "inputSchema"); |
| 811 | buffer_json_member_add_string(buffer, "type", "object"); |
| 812 | buffer_json_member_add_string( |
| 813 | buffer, "title", |
| 814 | "Execute a function on a specific node. " |
| 815 | "Functions provide live information and they are automatically routed " |
| 816 | "and executed to Netdata running on the given node."); |
| 817 | |
| 818 | // Properties |
| 819 | buffer_json_member_add_object(buffer, "properties"); |
| 820 | |
| 821 | buffer_json_member_add_object(buffer, "node"); |
| 822 | { |
| 823 | buffer_json_member_add_string(buffer, "type", "string"); |
| 824 | buffer_json_member_add_string(buffer, "title", "The node on which to execute the function"); |
| 825 | buffer_json_member_add_string( |
| 826 | buffer, "description", |
| 827 | "The hostname or machine_guid or node_id of the node where the function should be executed. " |
| 828 | "The node needs to be online (live) and reachable."); |
| 829 | } |
| 830 | buffer_json_object_close(buffer); // node |
| 831 | |
| 832 | buffer_json_member_add_object(buffer, "function"); |
| 833 | { |
| 834 | buffer_json_member_add_string(buffer, "type", "string"); |
| 835 | buffer_json_member_add_string(buffer, "title", "The name of the function to execute."); |
| 836 | buffer_json_member_add_string(buffer, "description", "The function name, as available in the node_details tool output"); |
| 837 | } |
| 838 | buffer_json_object_close(buffer); // function |
| 839 | |
| 840 | mcp_schema_add_timeout( |
| 841 | buffer, "timeout", "Execution timeout in seconds", |
| 842 | "Maximum time to wait for function execution (default: 60)", |
| 843 | 60, 1, 3600, false); |
| 844 | |
| 845 | buffer_json_member_add_object(buffer, "columns"); |
| 846 | { |
| 847 | buffer_json_member_add_string(buffer, "type", "array"); |
| 848 | buffer_json_member_add_string(buffer, "title", "Columns to include"); |
| 849 | buffer_json_member_add_string( |
| 850 | buffer, "description", |
| 851 | "Array of column names to include in the result. " |
| 852 | "Each function has its own columns, so first check the function without this parameter."); |
| 853 | |
| 854 | buffer_json_member_add_object(buffer, "items"); |
| 855 | { |
| 856 | buffer_json_member_add_string(buffer, "type", "string"); |
| 857 | } |
| 858 | buffer_json_object_close(buffer); // items |
| 859 | } |
| 860 | buffer_json_object_close(buffer); // columns |
| 861 | |
| 862 | mcp_schema_add_string_param( |
| 863 | buffer, "sort_column", "Column to sort by", |
| 864 | "Name of the column to sort the results by.", |
| 865 | NULL, false); |
| 866 | |
| 867 | buffer_json_member_add_object(buffer, "sort_order"); |
| 868 | { |
| 869 | buffer_json_member_add_string(buffer, "type", "string"); |
| 870 | buffer_json_member_add_string(buffer, "title", "Sort order"); |
| 871 | buffer_json_member_add_string( |
| 872 | buffer, "description", |
| 873 | "Order to sort results: 'asc' for ascending, 'desc' for descending"); |
| 874 | buffer_json_member_add_string(buffer, "default", "desc"); |
| 875 | buffer_json_member_add_array(buffer, "enum"); |
| 876 | buffer_json_add_array_item_string(buffer, "asc"); |
| 877 | buffer_json_add_array_item_string(buffer, "desc"); |
| 878 | buffer_json_array_close(buffer); |
| 879 | } |
| 880 | buffer_json_object_close(buffer); // sort_order |
| 881 | |
| 882 | mcp_schema_add_size_param( |
| 883 | buffer, "limit", "Limit", |
| 884 | "Number of entries to return", |
| 885 | 0, 0, SIZE_MAX, false); |
| 886 | |
| 887 | // Time-based parameters for functions with history |
| 888 | mcp_schema_add_time_params(buffer, "query window", false); |
| 889 | |
| 890 | mcp_schema_add_string_param( |
| 891 | buffer, "cursor", "Pagination cursor", |
| 892 | "Opaque cursor for pagination (follows MCP standard)", |
| 893 | NULL, false); |
| 894 | |
| 895 | buffer_json_member_add_object(buffer, "direction"); |
| 896 | { |
| 897 | buffer_json_member_add_string(buffer, "type", "string"); |
| 898 | buffer_json_member_add_string(buffer, "title", "Query direction"); |
| 899 | buffer_json_member_add_string( |
| 900 | buffer, "description", |
| 901 | "Direction for query processing: 'forward' (oldest first) or 'backward' (newest first)"); |
| 902 | buffer_json_member_add_string(buffer, "default", "backward"); |
| 903 | buffer_json_member_add_array(buffer, "enum"); |
| 904 | buffer_json_add_array_item_string(buffer, "forward"); |
| 905 | buffer_json_add_array_item_string(buffer, "backward"); |
| 906 | buffer_json_array_close(buffer); |
| 907 | } |
| 908 | buffer_json_object_close(buffer); // direction |
| 909 | |
| 910 | mcp_schema_add_string_param( |
| 911 | buffer, "q", "Full-text search", |
| 912 | "Full-text search to filter results. Use pipe character (|) to separate multiple search patterns. " |
| 913 | "Example: '*fail*|*error*|*systemd*'. " |
| 914 | "Wildcards (*) are supported for pattern matching.", |
| 915 | NULL, false); |
| 916 | |
| 917 | buffer_json_member_add_object(buffer, "conditions"); |
| 918 | { |
| 919 | buffer_json_member_add_string(buffer, "type", "array"); |
| 920 | buffer_json_member_add_string(buffer, "title", "Filter conditions"); |
| 921 | buffer_json_member_add_string( |
| 922 | buffer, "description", |
| 923 | "Array of conditions to filter rows. " |
| 924 | "Each condition is an array of [column, operator, value] where operator " |
| 925 | "can be ==, !=, <>, <, <=, >, >=, match, not match. " |
| 926 | "Use '*' or '' (empty string) as column name to search across all columns."); |
| 927 | |
| 928 | buffer_json_member_add_object(buffer, "items"); |
| 929 | { |
| 930 | buffer_json_member_add_string(buffer, "type", "array"); |
| 931 | buffer_json_member_add_object(buffer, "items"); |
| 932 | { |
| 933 | buffer_json_member_add_array(buffer, "oneOf"); |
| 934 | { |
| 935 | // First item of the condition array - column name |
| 936 | buffer_json_add_array_item_object(buffer); |
| 937 | { |
| 938 | buffer_json_member_add_string(buffer, "type", "string"); |
| 939 | } |
| 940 | buffer_json_object_close(buffer); |
| 941 | |
| 942 | // Second item - operator |
| 943 | buffer_json_add_array_item_object(buffer); |
| 944 | { |
| 945 | buffer_json_member_add_string(buffer, "type", "string"); |
| 946 | buffer_json_member_add_array(buffer, "enum"); |
| 947 | { |
| 948 | buffer_json_add_array_item_string(buffer, "=="); |
| 949 | buffer_json_add_array_item_string(buffer, "!="); |
| 950 | buffer_json_add_array_item_string(buffer, "<>"); |
| 951 | buffer_json_add_array_item_string(buffer, "<"); |
| 952 | buffer_json_add_array_item_string(buffer, "<="); |
| 953 | buffer_json_add_array_item_string(buffer, ">"); |
| 954 | buffer_json_add_array_item_string(buffer, ">="); |
| 955 | buffer_json_add_array_item_string(buffer, "match"); |
| 956 | buffer_json_add_array_item_string(buffer, "not match"); |
| 957 | } |
| 958 | buffer_json_array_close(buffer); |
| 959 | } |
| 960 | buffer_json_object_close(buffer); |
| 961 | |
| 962 | // Third item - value (can be string, number, or boolean) |
| 963 | buffer_json_add_array_item_object(buffer); |
| 964 | { |
| 965 | buffer_json_member_add_array(buffer, "oneOf"); |
| 966 | { |
| 967 | buffer_json_add_array_item_object(buffer); |
| 968 | { |
| 969 | buffer_json_member_add_string(buffer, "type", "string"); |
| 970 | } |
| 971 | buffer_json_object_close(buffer); |
| 972 | |
| 973 | buffer_json_add_array_item_object(buffer); |
| 974 | { |
| 975 | buffer_json_member_add_string(buffer, "type", "number"); |
| 976 | } |
| 977 | buffer_json_object_close(buffer); |
| 978 | |
| 979 | buffer_json_add_array_item_object(buffer); |
| 980 | { |
| 981 | buffer_json_member_add_string(buffer, "type", "boolean"); |
| 982 | } |
| 983 | buffer_json_object_close(buffer); |
| 984 | } |
| 985 | buffer_json_array_close(buffer); |
| 986 | } |
| 987 | buffer_json_object_close(buffer); // third item |
| 988 | } |
| 989 | buffer_json_array_close(buffer); // oneOf |
| 990 | } |
| 991 | buffer_json_object_close(buffer); // inner items |
| 992 | } |
| 993 | buffer_json_object_close(buffer); // items |
| 994 | } |
| 995 | buffer_json_object_close(buffer); // conditions |
| 996 | |
| 997 | buffer_json_member_add_object(buffer, "selections"); |
| 998 | { |
| 999 | buffer_json_member_add_string(buffer, "type", "object"); |
| 1000 | buffer_json_member_add_string(buffer, "title", "Function parameter selections"); |
| 1001 | buffer_json_member_add_string( |
| 1002 | buffer, "description", |
| 1003 | "Key-value pairs where each key is a parameter name and the value depends on the parameter type: " |
| 1004 | "for 'select' type parameters, use a single string value; " |
| 1005 | "for 'multiselect' type parameters, use an array of strings. " |
| 1006 | "Functions that require selections will prompt you with available options when called without this parameter. " |
| 1007 | "Example: {\"param1\": \"single_value\", \"param2\": [\"value1\", \"value2\"]}"); |
| 1008 | } |
| 1009 | buffer_json_object_close(buffer); // selections |
| 1010 | |
| 1011 | buffer_json_object_close(buffer); // properties |
| 1012 | |
| 1013 | // Required fields |
| 1014 | buffer_json_member_add_array(buffer, "required"); |
| 1015 | buffer_json_add_array_item_string(buffer, "node"); |
| 1016 | buffer_json_add_array_item_string(buffer, "function"); |
| 1017 | buffer_json_array_close(buffer); // required |
| 1018 | |
| 1019 | buffer_json_object_close(buffer); // inputSchema |
| 1020 | } |
| 1021 | |
| 1022 | /** |
| 1023 | * Filter and sort a table-formatted JSON result based on parameters |
| 1024 | * |
| 1025 | * @param data Function data structure with request context, input and output |
| 1026 | * @param max_size_threshold Maximum size in bytes before truncation is recommended |
| 1027 | * |
| 1028 | * @return void (result is returned in data->output) |
| 1029 | */ |
| 1030 | static void mcp_process_table_result(MCP_FUNCTION_DATA *data, size_t max_size_threshold) |
| 1031 | { |
| 1032 | // Reset output for processing |
| 1033 | mcp_function_data_reset_output(data); |
| 1034 | |
| 1035 | // Clear error buffer for any error messages that might be generated |
| 1036 | buffer_flush(data->request.mcpc->error); |
| 1037 | |
| 1038 | // Get original JSON string from input |
| 1039 | const char *json_str = buffer_tostring(data->input.json); |
| 1040 | size_t result_size = buffer_strlen(data->input.json); |
| 1041 | |
| 1042 | if (!data->input.jobj) { |
| 1043 | buffer_strcat(data->output.result, json_str); // Return original if JSON is NULL |
| 1044 | data->output.status = MCP_TABLE_NOT_JSON; |
| 1045 | return; |
| 1046 | } |
| 1047 | |
| 1048 | // Check if it's a processable table format |
| 1049 | if (data->input.type != FN_TYPE_TABLE && data->input.type != FN_TYPE_TABLE_WITH_HISTORY) { |
| 1050 | buffer_strcat(data->output.result, json_str); // Not a processable table format |
| 1051 | data->output.status = MCP_TABLE_NOT_PROCESSABLE; |
| 1052 | return; |
| 1053 | } |
| 1054 | |
| 1055 | // Get data and columns |
| 1056 | struct json_object *data_obj = NULL; |
| 1057 | struct json_object *columns_obj = NULL; |
| 1058 | |
| 1059 | if (!json_object_object_get_ex(data->input.jobj, "data", &data_obj) || |
| 1060 | !json_object_object_get_ex(data->input.jobj, "columns", &columns_obj)) { |
| 1061 | buffer_strcat(data->output.result, json_str); // Missing required elements |
| 1062 | return; |
| 1063 | } |
| 1064 | |
| 1065 | size_t row_count = json_object_array_length(data_obj); |
| 1066 | size_t column_count = json_object_object_length(columns_obj); |
| 1067 | |
| 1068 | // Store original counts in input |
| 1069 | data->input.rows = row_count; |
| 1070 | data->input.columns = column_count; |
| 1071 | |
| 1072 | // Check if we need to show guidance - only when no filtering is specified |
| 1073 | if (result_size > max_size_threshold && data->request.columns.count == 0 && |
| 1074 | (data->request.conditions.count == 0 || (data->request.conditions.count == 1 && data->request.query && *data->request.query))) { |
| 1075 | // Store first row in result for guidance |
| 1076 | data->output.status = MCP_TABLE_RESPONSE_TOO_BIG; |
| 1077 | data->request.limit = 1; |
| 1078 | } |
| 1079 | |
| 1080 | // Even with no filtering parameters, we need to process to remove unwanted fields |
| 1081 | |
| 1082 | // Sort direction is already parsed in data->request.sort.descending |
| 1083 | |
| 1084 | // Use fixed-size arrays for column selection |
| 1085 | uint8_t column_selected[MAX_COLUMNS] = {0}; // 1 if column is selected, 0 if not |
| 1086 | char *column_names[MAX_COLUMNS] = {0}; // Names of selected columns (references) |
| 1087 | int column_indices[MAX_COLUMNS] = {0}; // Index mapping for ordered access |
| 1088 | size_t selected_count = 0; |
| 1089 | |
| 1090 | // Check if we have too many columns |
| 1091 | if (column_count > MAX_COLUMNS) { |
| 1092 | data->output.status = MCP_TABLE_ERROR_TOO_MANY_COLUMNS; |
| 1093 | data->output.columns = column_count; |
| 1094 | |
| 1095 | return; |
| 1096 | } |
| 1097 | |
| 1098 | if (data->request.columns.count > 0) { |
| 1099 | // Process the pre-parsed column names |
| 1100 | bool all_columns_found = true; |
| 1101 | CLEAN_BUFFER *missing_columns = buffer_create(0, NULL); |
| 1102 | |
| 1103 | for (size_t i = 0; i < data->request.columns.count; i++) { |
| 1104 | const char *col = data->request.columns.array[i]; |
| 1105 | |
| 1106 | // Find column and add to selected set |
| 1107 | struct json_object *col_obj = NULL; |
| 1108 | if (json_object_object_get_ex(columns_obj, col, &col_obj)) { |
| 1109 | // Get index of this column |
| 1110 | struct json_object *index_obj = NULL; |
| 1111 | if (json_object_object_get_ex(col_obj, "index", &index_obj)) { |
| 1112 | int idx = json_object_get_int(index_obj); |
| 1113 | if (idx >= 0 && idx < MAX_COLUMNS) { |
| 1114 | column_selected[idx] = 1; |
| 1115 | column_names[idx] = (char*)col; // Store reference only - columns_obj must stay alive |
| 1116 | } |
| 1117 | } |
| 1118 | } else { |
| 1119 | // Column not found |
| 1120 | all_columns_found = false; |
| 1121 | if (buffer_strlen(missing_columns) > 0) { |
| 1122 | buffer_strcat(missing_columns, ", "); |
| 1123 | } |
| 1124 | buffer_strcat(missing_columns, col); |
| 1125 | } |
| 1126 | } |
| 1127 | |
| 1128 | // If any columns were not found, set error status |
| 1129 | if (!all_columns_found) { |
| 1130 | data->output.status = MCP_TABLE_ERROR_COLUMNS_NOT_FOUND; |
| 1131 | buffer_strcat(data->output.result, buffer_tostring(missing_columns)); |
| 1132 | |
| 1133 | return; |
| 1134 | } |
| 1135 | } else { |
| 1136 | // If no columns specified, include all |
| 1137 | struct json_object_iterator it = json_object_iter_begin(columns_obj); |
| 1138 | struct json_object_iterator itEnd = json_object_iter_end(columns_obj); |
| 1139 | |
| 1140 | while (!json_object_iter_equal(&it, &itEnd)) { |
| 1141 | const char *col_key = json_object_iter_peek_name(&it); |
| 1142 | struct json_object *col_val = json_object_iter_peek_value(&it); |
| 1143 | |
| 1144 | struct json_object *index_obj = NULL; |
| 1145 | if (json_object_object_get_ex(col_val, "index", &index_obj)) { |
| 1146 | int idx = json_object_get_int(index_obj); |
| 1147 | if (idx >= 0 && idx < MAX_COLUMNS) { |
| 1148 | column_selected[idx] = 1; |
| 1149 | column_names[idx] = (char*)col_key; // Store reference only - columns_obj must stay alive |
| 1150 | } |
| 1151 | } |
| 1152 | |
| 1153 | json_object_iter_next(&it); |
| 1154 | } |
| 1155 | } |
| 1156 | |
| 1157 | // Create ordered index mapping for selected columns |
| 1158 | for (int i = 0; i < MAX_COLUMNS; i++) { |
| 1159 | if (column_selected[i]) { |
| 1160 | column_indices[selected_count] = i; |
| 1161 | selected_count++; |
| 1162 | } |
| 1163 | } |
| 1164 | |
| 1165 | // Find sort column index if sort requested |
| 1166 | int sort_idx = -1; |
| 1167 | |
| 1168 | if (data->request.sort.column) { |
| 1169 | struct json_object *sort_col_obj = NULL; |
| 1170 | if (json_object_object_get_ex(columns_obj, data->request.sort.column, &sort_col_obj)) { |
| 1171 | struct json_object *index_obj = NULL; |
| 1172 | if (json_object_object_get_ex(sort_col_obj, "index", &index_obj)) { |
| 1173 | sort_idx = json_object_get_int(index_obj); |
| 1174 | } |
| 1175 | } else { |
| 1176 | // Column not found |
| 1177 | data->output.status = MCP_TABLE_ERROR_SORT_COLUMN_NOT_FOUND; |
| 1178 | buffer_strcat(data->output.result, data->request.sort.column); |
| 1179 | |
| 1180 | return; |
| 1181 | } |
| 1182 | } |
| 1183 | |
| 1184 | // Create new arrays for filtered/sorted data |
| 1185 | struct json_object **rows = (struct json_object **)callocz(row_count, sizeof(struct json_object *)); |
| 1186 | size_t row_idx = 0; |
| 1187 | |
| 1188 | // Resolve column indices for pre-parsed conditions if they exist |
| 1189 | if (data->request.conditions.count > 0) { |
| 1190 | resolve_condition_columns(&data->request.conditions, columns_obj); |
| 1191 | } |
| 1192 | |
| 1193 | // Copy rows for filtering/sorting, applying filters if specified |
| 1194 | for (size_t i = 0; i < row_count; i++) { |
| 1195 | struct json_object *row = json_object_array_get_idx(data_obj, i); |
| 1196 | if (!row) |
| 1197 | continue; |
| 1198 | |
| 1199 | bool include_row = true; |
| 1200 | |
| 1201 | // Apply preprocessed conditions if they exist |
| 1202 | if (data->request.conditions.count > 0) { |
| 1203 | include_row = row_matches_conditions(row, &data->request.conditions); |
| 1204 | } |
| 1205 | |
| 1206 | if (include_row) { |
| 1207 | rows[row_idx++] = row; |
| 1208 | } |
| 1209 | } |
| 1210 | |
| 1211 | // If we have missing columns and found no matches, provide helpful error |
| 1212 | if (data->request.conditions.has_missing_columns && row_idx == 0) { |
| 1213 | data->output.status = MCP_TABLE_ERROR_NO_MATCHES_WITH_MISSING_COLUMNS; |
| 1214 | |
| 1215 | // Clean up and return |
| 1216 | freez((void *)rows); |
| 1217 | |
| 1218 | return; |
| 1219 | } |
| 1220 | |
| 1221 | // Sort if requested |
| 1222 | if (sort_idx >= 0) { |
| 1223 | // Simple bubble sort implementation |
| 1224 | for (size_t i = 0; i < row_idx; i++) { |
| 1225 | for (size_t j = i + 1; j < row_idx; j++) { |
| 1226 | bool should_swap = false; |
| 1227 | |
| 1228 | struct json_object *val_i = json_object_array_get_idx(rows[i], sort_idx); |
| 1229 | struct json_object *val_j = json_object_array_get_idx(rows[j], sort_idx); |
| 1230 | |
| 1231 | // Handle null values |
| 1232 | if (!val_i && !val_j) { |
| 1233 | should_swap = false; |
| 1234 | } else if (!val_i) { |
| 1235 | should_swap = !data->request.sort.descending; |
| 1236 | } else if (!val_j) { |
| 1237 | should_swap = data->request.sort.descending; |
| 1238 | } else { |
| 1239 | // Try to match based on apparent type |
| 1240 | // Check if either value is a number type |
| 1241 | if (json_object_is_type(val_i, json_type_int) || |
| 1242 | json_object_is_type(val_i, json_type_double) || |
| 1243 | json_object_is_type(val_j, json_type_int) || |
| 1244 | json_object_is_type(val_j, json_type_double)) { |
| 1245 | |
| 1246 | // Let json-c do the type conversion |
| 1247 | double i_val = json_object_get_double(val_i); |
| 1248 | double j_val = json_object_get_double(val_j); |
| 1249 | should_swap = data->request.sort.descending ? (i_val < j_val) : (i_val > j_val); |
| 1250 | |
| 1251 | } else if (json_object_is_type(val_i, json_type_boolean) || |
| 1252 | json_object_is_type(val_j, json_type_boolean)) { |
| 1253 | |
| 1254 | // Let json-c do the type conversion |
| 1255 | bool i_val = json_object_get_boolean(val_i); |
| 1256 | bool j_val = json_object_get_boolean(val_j); |
| 1257 | should_swap = data->request.sort.descending ? (i_val && !j_val) : (!i_val && j_val); |
| 1258 | |
| 1259 | } else { |
| 1260 | // Default to string comparison for everything else |
| 1261 | int cmp = strcmp(json_object_get_string(val_i), json_object_get_string(val_j)); |
| 1262 | should_swap = data->request.sort.descending ? (cmp < 0) : (cmp > 0); |
| 1263 | } |
| 1264 | } |
| 1265 | |
| 1266 | if (should_swap) { |
| 1267 | struct json_object *temp = rows[i]; |
| 1268 | rows[i] = rows[j]; |
| 1269 | rows[j] = temp; |
| 1270 | } |
| 1271 | } |
| 1272 | } |
| 1273 | } |
| 1274 | |
| 1275 | // Apply row limit |
| 1276 | size_t limit = row_idx; |
| 1277 | bool force_limit = (data->output.status == MCP_TABLE_RESPONSE_TOO_BIG && data->request.limit > 0); |
| 1278 | |
| 1279 | if (force_limit && data->request.limit < limit) { |
| 1280 | limit = data->request.limit; |
| 1281 | } |
| 1282 | else if (!force_limit && data->request.limit > 0 && data->request.limit < limit && data->input.type == FN_TYPE_TABLE) { |
| 1283 | // we don't limit history functions, only regular tables |
| 1284 | // for history functions, we sent the limit to the backend |
| 1285 | // so whatever it returns is what we show |
| 1286 | // This is important, otherwise the cursor will be wrong! |
| 1287 | limit = data->request.limit; |
| 1288 | } |
| 1289 | |
| 1290 | // Create new filtered result |
| 1291 | struct json_object *filtered_result = json_object_new_object(); |
| 1292 | struct json_object *filtered_data = json_object_new_array(); |
| 1293 | struct json_object *filtered_columns = json_object_new_object(); |
| 1294 | |
| 1295 | // Copy only specific metadata fields from original |
| 1296 | { |
| 1297 | // Keep only status, type, update_every, has_history + data and columns |
| 1298 | const char *keep_fields[] = {"status", "type", "update_every", "has_history"}; |
| 1299 | size_t keep_count = sizeof(keep_fields) / sizeof(keep_fields[0]); |
| 1300 | |
| 1301 | for (size_t i = 0; i < keep_count; i++) { |
| 1302 | struct json_object *field_obj = NULL; |
| 1303 | |
| 1304 | if (json_object_object_get_ex(data->input.jobj, keep_fields[i], &field_obj)) { |
| 1305 | json_object_object_add(filtered_result, keep_fields[i], json_object_get(field_obj)); |
| 1306 | } |
| 1307 | } |
| 1308 | } |
| 1309 | |
| 1310 | // Extract column transform information BEFORE creating filtered columns |
| 1311 | COLUMN_TRANSFORM_INFO col_transforms[MAX_COLUMNS] = {{0}}; |
| 1312 | extract_column_transforms(columns_obj, column_indices, column_names, selected_count, col_transforms); |
| 1313 | |
| 1314 | // Create filtered data rows with transformation |
| 1315 | for (size_t i = 0; i < limit; i++) { |
| 1316 | struct json_object *row = rows[i]; |
| 1317 | struct json_object *new_row = json_object_new_array(); |
| 1318 | |
| 1319 | // Extract only selected columns |
| 1320 | for (size_t j = 0; j < selected_count; j++) { |
| 1321 | int col_idx = column_indices[j]; |
| 1322 | struct json_object *val = json_object_array_get_idx(row, col_idx); |
| 1323 | |
| 1324 | // Try to transform the value |
| 1325 | struct json_object *transformed = transform_value_for_mcp(val, col_transforms[j].type, col_transforms[j].transform); |
| 1326 | |
| 1327 | if (transformed) { |
| 1328 | // Use the transformed value (we own it) |
| 1329 | json_object_array_add(new_row, transformed); |
| 1330 | } else if (val) { |
| 1331 | // No transformation needed, use original with ref count increase |
| 1332 | // json_object_array_add takes ownership, so we must increment ref count |
| 1333 | json_object_array_add(new_row, json_object_get(val)); |
| 1334 | } else { |
| 1335 | // NULL value |
| 1336 | json_object_array_add(new_row, NULL); |
| 1337 | } |
| 1338 | } |
| 1339 | |
| 1340 | json_object_array_add(filtered_data, new_row); |
| 1341 | } |
| 1342 | |
| 1343 | // Create filtered column definitions AFTER processing data |
| 1344 | for (size_t i = 0; i < selected_count; i++) { |
| 1345 | int col_idx = column_indices[i]; |
| 1346 | const char *col_name = column_names[col_idx]; |
| 1347 | |
| 1348 | struct json_object *col_obj = NULL; |
| 1349 | if (json_object_object_get_ex(columns_obj, col_name, &col_obj)) { |
| 1350 | struct json_object *col_copy = create_filtered_column(col_obj, col_name); |
| 1351 | |
| 1352 | // Update index to match new position |
| 1353 | json_object_object_add(col_copy, "index", json_object_new_int((int)i)); |
| 1354 | |
| 1355 | // Check if this column was transformed to string |
| 1356 | if (is_transformable_to_string(col_transforms[i].type, col_transforms[i].transform)) { |
| 1357 | // Override type to string since we transformed the value |
| 1358 | json_object_object_del(col_copy, "type"); |
| 1359 | json_object_object_add(col_copy, "type", json_object_new_string("string")); |
| 1360 | |
| 1361 | // Remove numeric-specific properties that don't make sense for strings |
| 1362 | json_object_object_del(col_copy, "max"); |
| 1363 | json_object_object_del(col_copy, "min"); |
| 1364 | json_object_object_del(col_copy, "units"); |
| 1365 | } |
| 1366 | |
| 1367 | json_object_object_add(filtered_columns, col_name, col_copy); |
| 1368 | } |
| 1369 | } |
| 1370 | |
| 1371 | // Add filtered data and columns to result |
| 1372 | json_object_object_add(filtered_result, "data", filtered_data); |
| 1373 | json_object_object_add(filtered_result, "columns", filtered_columns); |
| 1374 | |
| 1375 | // Check if we found any rows |
| 1376 | if (limit == 0 && data->request.conditions.count > 0) { |
| 1377 | // No rows matched the conditions |
| 1378 | json_object_put(filtered_result); |
| 1379 | data->output.status = MCP_TABLE_ERROR_NO_MATCHES; |
| 1380 | } else { |
| 1381 | // Set status flag if we used wildcard search and found results |
| 1382 | if (data->request.conditions.has_missing_columns && row_idx > 0) { |
| 1383 | data->output.status = MCP_TABLE_INFO_MISSING_COLUMNS_FOUND_RESULTS; |
| 1384 | } |
| 1385 | |
| 1386 | // Add nextCursor for pagination if applicable (only for successful results) |
| 1387 | if (data->pagination.enabled && data->input.rows > 0) { |
| 1388 | usec_t next_cursor_timestamp = calculate_next_cursor_from_input(data); |
| 1389 | if (next_cursor_timestamp > 0) { |
| 1390 | CLEAN_BUFFER *cursor_str = buffer_create(0, NULL); |
| 1391 | buffer_sprintf(cursor_str, "%" PRIu64, next_cursor_timestamp); |
| 1392 | json_object_object_add(filtered_result, "nextCursor", json_object_new_string(buffer_tostring(cursor_str))); |
| 1393 | } |
| 1394 | } |
| 1395 | |
| 1396 | // Convert to string and store result |
| 1397 | const char *filtered_json = json_object_to_json_string_ext(filtered_result, JSON_C_TO_STRING_PRETTY); |
| 1398 | buffer_strcat(data->output.result, filtered_json); |
| 1399 | |
| 1400 | // Update actual counts from filtered result |
| 1401 | data->output.rows = limit; |
| 1402 | data->output.columns = selected_count; |
| 1403 | |
| 1404 | // Free the filtered result |
| 1405 | json_object_put(filtered_result); |
| 1406 | } |
| 1407 | |
| 1408 | // Clean up |
| 1409 | freez((void *)rows); |
| 1410 | |
| 1411 | } |
| 1412 | |
| 1413 | // Parse conditions without column information (early parsing during request) |
| 1414 | static MCP_RETURN_CODE mcp_parse_conditions_early(CONDITION_ARRAY *condition_array, struct json_object *conditions_json, BUFFER *error_buffer) { |
| 1415 | if (!condition_array || !conditions_json) |
| 1416 | return MCP_RC_ERROR; |
| 1417 | |
| 1418 | // Initialize the condition array |
| 1419 | memset(condition_array, 0, sizeof(CONDITION_ARRAY)); |
| 1420 | |
| 1421 | if (!json_object_is_type(conditions_json, json_type_array)) |
| 1422 | return MCP_RC_INVALID_PARAMS; |
| 1423 | |
| 1424 | size_t conditions_count = json_object_array_length(conditions_json); |
| 1425 | if (conditions_count == 0) |
| 1426 | return MCP_RC_OK; // Empty array is valid |
| 1427 | |
| 1428 | if (conditions_count > MAX_CONDITIONS) { |
| 1429 | if (error_buffer) |
| 1430 | buffer_sprintf(error_buffer, "Too many conditions. Maximum is %d.", MAX_CONDITIONS); |
| 1431 | return MCP_RC_INVALID_PARAMS; |
| 1432 | } |
| 1433 | |
| 1434 | for (size_t i = 0; i < conditions_count; i++) { |
| 1435 | struct json_object *condition = json_object_array_get_idx(conditions_json, i); |
| 1436 | |
| 1437 | // Each condition should be an array of [column, operator, value] |
| 1438 | if (!condition || !json_object_is_type(condition, json_type_array) || |
| 1439 | json_object_array_length(condition) != 3) { |
| 1440 | if (error_buffer) |
| 1441 | buffer_sprintf(error_buffer, "Invalid condition format at index %zu. Expected [column, operator, value]", i); |
| 1442 | mcp_functions_free_condition_patterns(condition_array); |
| 1443 | return MCP_RC_INVALID_PARAMS; |
| 1444 | } |
| 1445 | |
| 1446 | struct json_object *col_name_obj = json_object_array_get_idx(condition, 0); |
| 1447 | struct json_object *operator_obj = json_object_array_get_idx(condition, 1); |
| 1448 | struct json_object *value_obj = json_object_array_get_idx(condition, 2); |
| 1449 | |
| 1450 | if (!col_name_obj || !json_object_is_type(col_name_obj, json_type_string) || |
| 1451 | !operator_obj || !json_object_is_type(operator_obj, json_type_string) || |
| 1452 | !value_obj) { |
| 1453 | if (error_buffer) |
| 1454 | buffer_sprintf(error_buffer, "Invalid condition element types at index %zu. Expected [string, string, any]", i); |
| 1455 | mcp_functions_free_condition_patterns(condition_array); |
| 1456 | return MCP_RC_INVALID_PARAMS; |
| 1457 | } |
| 1458 | |
| 1459 | CONDITION *curr = &condition_array->items[condition_array->count]; |
| 1460 | |
| 1461 | // Get column name and operator |
| 1462 | curr->column_name = json_object_get_string(col_name_obj); |
| 1463 | const char *op_str = json_object_get_string(operator_obj); |
| 1464 | |
| 1465 | curr->op = mcp_functions_string_to_operator(op_str); |
| 1466 | if (curr->op == OP_UNKNOWN) { |
| 1467 | if (error_buffer) |
| 1468 | buffer_sprintf(error_buffer, "Invalid operator '%s' at index %zu. Valid operators are: ==, !=, <>, <, <=, >, >=, match, not match", |
| 1469 | op_str, i); |
| 1470 | mcp_functions_free_condition_patterns(condition_array); |
| 1471 | return MCP_RC_INVALID_PARAMS; |
| 1472 | } |
| 1473 | |
| 1474 | // Parse and store the value based on its type |
| 1475 | if (json_object_is_type(value_obj, json_type_null)) { |
| 1476 | curr->v_type = COND_VALUE_NULL; |
| 1477 | } else if (json_object_is_type(value_obj, json_type_boolean)) { |
| 1478 | curr->v_type = COND_VALUE_BOOLEAN; |
| 1479 | curr->v_bool = json_object_get_boolean(value_obj); |
| 1480 | } else if (json_object_is_type(value_obj, json_type_int) || json_object_is_type(value_obj, json_type_double)) { |
| 1481 | curr->v_type = COND_VALUE_NUMBER; |
| 1482 | curr->v_num = json_object_get_double(value_obj); |
| 1483 | } else { |
| 1484 | // Everything else is treated as string |
| 1485 | curr->v_type = COND_VALUE_STRING; |
| 1486 | curr->v_str = json_object_get_string(value_obj); |
| 1487 | } |
| 1488 | |
| 1489 | // Pre-compile patterns for MATCH operators |
| 1490 | if (curr->op == OP_MATCH || curr->op == OP_NOT_MATCH) { |
| 1491 | const char *pattern_str = NULL; |
| 1492 | if (curr->v_type == COND_VALUE_STRING) { |
| 1493 | pattern_str = curr->v_str; |
| 1494 | } else { |
| 1495 | // For non-string types, use json-c's string conversion |
| 1496 | pattern_str = json_object_get_string(value_obj); |
| 1497 | } |
| 1498 | if (pattern_str) { |
| 1499 | curr->pattern = string_to_simple_pattern_nocase_substring(pattern_str); |
| 1500 | } |
| 1501 | } |
| 1502 | |
| 1503 | // Mark column index as unknown for now (-1) |
| 1504 | curr->column_index = -1; |
| 1505 | |
| 1506 | condition_array->count++; |
| 1507 | } |
| 1508 | |
| 1509 | return MCP_RC_OK; |
| 1510 | } |
| 1511 | |
| 1512 | // Build the function name with GET parameters appended |
| 1513 | static void build_function_name_with_params(BUFFER *dest, const char *function_name, struct json_object *selections, MCP_FUNCTION_DATA *data, MCP_FUNCTION_REGISTRY_ENTRY *entry) { |
| 1514 | buffer_strcat(dest, function_name); |
| 1515 | |
| 1516 | // Add time-based parameters if supported and specified |
| 1517 | if (entry->has_timeframe) { |
| 1518 | buffer_sprintf(dest, " after:%ld", data->request.after); |
| 1519 | buffer_sprintf(dest, " before:%ld", data->request.before); |
| 1520 | } |
| 1521 | |
| 1522 | if (entry->pagination.enabled && data->request.anchor > 0) { |
| 1523 | buffer_sprintf(dest, " %s:%llu", string2str(entry->pagination.key), (unsigned long long)data->request.anchor); |
| 1524 | } |
| 1525 | |
| 1526 | if (entry->has_last && data->request.limit > 0) { |
| 1527 | buffer_sprintf(dest, " last:%zu", data->request.limit); |
| 1528 | } |
| 1529 | |
| 1530 | if (entry->has_direction && data->request.direction && *data->request.direction) { |
| 1531 | buffer_sprintf(dest, " direction:%s", data->request.direction); |
| 1532 | } |
| 1533 | |
| 1534 | if (entry->has_query && data->request.query && *data->request.query) { |
| 1535 | buffer_sprintf(dest, " query:%s", data->request.query); |
| 1536 | } |
| 1537 | |
| 1538 | if (entry->has_data_only) { |
| 1539 | buffer_sprintf(dest, " data_only:true"); |
| 1540 | } |
| 1541 | |
| 1542 | if (entry->has_slice) { |
| 1543 | buffer_sprintf(dest, " slice:true"); |
| 1544 | } |
| 1545 | |
| 1546 | // Add selections parameters |
| 1547 | if (selections && json_object_is_type(selections, json_type_object)) { |
| 1548 | struct json_object_iterator it = json_object_iter_begin(selections); |
| 1549 | struct json_object_iterator itEnd = json_object_iter_end(selections); |
| 1550 | |
| 1551 | while (!json_object_iter_equal(&it, &itEnd)) { |
| 1552 | const char *key = json_object_iter_peek_name(&it); |
| 1553 | struct json_object *val = json_object_iter_peek_value(&it); |
| 1554 | |
| 1555 | if (!val) { |
| 1556 | json_object_iter_next(&it); |
| 1557 | continue; |
| 1558 | } |
| 1559 | |
| 1560 | buffer_sprintf(dest, " %s:", key); |
| 1561 | |
| 1562 | if (json_object_is_type(val, json_type_string)) { |
| 1563 | // Single string value |
| 1564 | buffer_strcat(dest, json_object_get_string(val)); |
| 1565 | } else if (json_object_is_type(val, json_type_array)) { |
| 1566 | // Array of values |
| 1567 | size_t array_len = json_object_array_length(val); |
| 1568 | for (size_t i = 0; i < array_len; i++) { |
| 1569 | if (i > 0) buffer_strcat(dest, ","); |
| 1570 | struct json_object *item = json_object_array_get_idx(val, i); |
| 1571 | if (item && json_object_is_type(item, json_type_string)) { |
| 1572 | buffer_strcat(dest, json_object_get_string(item)); |
| 1573 | } |
| 1574 | } |
| 1575 | } |
| 1576 | |
| 1577 | json_object_iter_next(&it); |
| 1578 | } |
| 1579 | } |
| 1580 | } |
| 1581 | |
| 1582 | // Calculate nextCursor from original input data for MCP-compliant pagination |
| 1583 | // Returns the next cursor timestamp, or 0 if not applicable |
| 1584 | static usec_t calculate_next_cursor_from_input(MCP_FUNCTION_DATA *data) { |
| 1585 | if (!data->pagination.enabled || data->input.rows == 0 || !data->input.jobj) { |
| 1586 | return 0; |
| 1587 | } |
| 1588 | |
| 1589 | // Only handle timestamp_usec units for now |
| 1590 | if (data->pagination.units != MCP_PAGINATION_UNITS_TIMESTAMP_USEC) { |
| 1591 | return 0; |
| 1592 | } |
| 1593 | |
| 1594 | // Get the data array from original input |
| 1595 | struct json_object *data_array; |
| 1596 | if (!json_object_object_get_ex(data->input.jobj, "data", &data_array) || |
| 1597 | !json_object_is_type(data_array, json_type_array)) { |
| 1598 | return 0; |
| 1599 | } |
| 1600 | |
| 1601 | // Get the columns object to find the timestamp column |
| 1602 | struct json_object *columns_obj; |
| 1603 | if (!json_object_object_get_ex(data->input.jobj, "columns", &columns_obj)) { |
| 1604 | return 0; |
| 1605 | } |
| 1606 | |
| 1607 | // Find the timestamp column index - handle both array and object formats |
| 1608 | int timestamp_column_index = -1; |
| 1609 | const char *timestamp_column_name = string2str(data->pagination.column); |
| 1610 | |
| 1611 | if (json_object_is_type(columns_obj, json_type_array)) { |
| 1612 | // Array format: ["timestamp", "field1", "field2"] |
| 1613 | size_t columns_count = json_object_array_length(columns_obj); |
| 1614 | for (size_t i = 0; i < columns_count; i++) { |
| 1615 | struct json_object *col_obj = json_object_array_get_idx(columns_obj, i); |
| 1616 | if (!col_obj) continue; |
| 1617 | |
| 1618 | if (json_object_is_type(col_obj, json_type_string)) { |
| 1619 | const char *col_name = json_object_get_string(col_obj); |
| 1620 | if (strcmp(col_name, timestamp_column_name) == 0) { |
| 1621 | timestamp_column_index = (int)i; |
| 1622 | break; |
| 1623 | } |
| 1624 | } |
| 1625 | } |
| 1626 | } else if (json_object_is_type(columns_obj, json_type_object)) { |
| 1627 | // Object format: {"timestamp": {...}, "field1": {...}} |
| 1628 | // Need to find the index by iterating through keys in order |
| 1629 | struct json_object_iterator it = json_object_iter_begin(columns_obj); |
| 1630 | struct json_object_iterator it_end = json_object_iter_end(columns_obj); |
| 1631 | int index = 0; |
| 1632 | |
| 1633 | while (!json_object_iter_equal(&it, &it_end)) { |
| 1634 | const char *key = json_object_iter_peek_name(&it); |
| 1635 | if (key && strcmp(key, timestamp_column_name) == 0) { |
| 1636 | timestamp_column_index = index; |
| 1637 | break; |
| 1638 | } |
| 1639 | json_object_iter_next(&it); |
| 1640 | index++; |
| 1641 | } |
| 1642 | } else { |
| 1643 | return 0; |
| 1644 | } |
| 1645 | |
| 1646 | if (timestamp_column_index == -1) { |
| 1647 | return 0; |
| 1648 | } |
| 1649 | |
| 1650 | // Extract timestamps from all rows in original data |
| 1651 | size_t rows_count = json_object_array_length(data_array); |
| 1652 | if (rows_count == 0) { |
| 1653 | return 0; |
| 1654 | } |
| 1655 | |
| 1656 | usec_t min_timestamp = UINT64_MAX; |
| 1657 | usec_t max_timestamp = 0; |
| 1658 | bool found_any = false; |
| 1659 | |
| 1660 | for (size_t i = 0; i < rows_count; i++) { |
| 1661 | struct json_object *row_obj = json_object_array_get_idx(data_array, i); |
| 1662 | if (!row_obj || !json_object_is_type(row_obj, json_type_array)) { |
| 1663 | continue; |
| 1664 | } |
| 1665 | |
| 1666 | size_t row_length = json_object_array_length(row_obj); |
| 1667 | if ((size_t)timestamp_column_index >= row_length) { |
| 1668 | continue; |
| 1669 | } |
| 1670 | |
| 1671 | struct json_object *timestamp_obj = json_object_array_get_idx(row_obj, timestamp_column_index); |
| 1672 | if (!timestamp_obj) { |
| 1673 | continue; |
| 1674 | } |
| 1675 | |
| 1676 | usec_t timestamp; |
| 1677 | if (json_object_is_type(timestamp_obj, json_type_int)) { |
| 1678 | timestamp = (usec_t)json_object_get_int64(timestamp_obj); |
| 1679 | } else if (json_object_is_type(timestamp_obj, json_type_string)) { |
| 1680 | const char *timestamp_str = json_object_get_string(timestamp_obj); |
| 1681 | timestamp = str2ull(timestamp_str, NULL); |
| 1682 | } else { |
| 1683 | continue; |
| 1684 | } |
| 1685 | |
| 1686 | if (timestamp < min_timestamp) { |
| 1687 | min_timestamp = timestamp; |
| 1688 | } |
| 1689 | if (timestamp > max_timestamp) { |
| 1690 | max_timestamp = timestamp; |
| 1691 | } |
| 1692 | found_any = true; |
| 1693 | } |
| 1694 | |
| 1695 | if (!found_any) { |
| 1696 | return 0; |
| 1697 | } |
| 1698 | |
| 1699 | // Determine direction - default to forward if not specified |
| 1700 | bool is_backward = (data->request.direction && strcmp(data->request.direction, "backward") == 0); |
| 1701 | |
| 1702 | // Calculate nextCursor based on direction: |
| 1703 | // - Forward: use max timestamp + 1 |
| 1704 | // - Backward: use min timestamp - 1 |
| 1705 | usec_t next_cursor; |
| 1706 | if (is_backward) { |
| 1707 | next_cursor = (min_timestamp > 0) ? min_timestamp - 1 : 0; |
| 1708 | } else { |
| 1709 | next_cursor = (max_timestamp < UINT64_MAX) ? max_timestamp + 1 : 0; |
| 1710 | } |
| 1711 | |
| 1712 | return next_cursor; |
| 1713 | } |
| 1714 | |
| 1715 | // Build POST payload for v3+ functions |
| 1716 | // Format: { "after": timestamp, "before": timestamp, "last": N, "data_only": true, "selections": { "key1": ["value1", "value2"] } } |
| 1717 | static BUFFER *build_post_payload_with_selections(struct json_object *selections, MCP_FUNCTION_DATA *data, MCP_FUNCTION_REGISTRY_ENTRY *entry) { |
| 1718 | BUFFER *payload = buffer_create(0, NULL); |
| 1719 | buffer_json_initialize(payload, "\"", "\"", 0, true, BUFFER_JSON_OPTIONS_MINIFY); |
| 1720 | |
| 1721 | // Add time-based parameters if supported and specified |
| 1722 | if (entry->has_timeframe && data->request.after != 0) { |
| 1723 | buffer_json_member_add_time_t(payload, "after", data->request.after); |
| 1724 | } |
| 1725 | |
| 1726 | if (entry->has_timeframe && data->request.before != 0) { |
| 1727 | buffer_json_member_add_time_t(payload, "before", data->request.before); |
| 1728 | } |
| 1729 | |
| 1730 | if (entry->pagination.enabled && data->request.anchor > 0) { |
| 1731 | buffer_json_member_add_uint64(payload, string2str(entry->pagination.key), data->request.anchor); |
| 1732 | } |
| 1733 | |
| 1734 | if (entry->has_last && data->request.limit > 0) { |
| 1735 | buffer_json_member_add_uint64(payload, "last", data->request.limit); |
| 1736 | } |
| 1737 | |
| 1738 | if (entry->has_direction && data->request.direction) { |
| 1739 | buffer_json_member_add_string(payload, "direction", data->request.direction); |
| 1740 | } |
| 1741 | |
| 1742 | if (entry->has_query && data->request.query) { |
| 1743 | buffer_json_member_add_string(payload, "query", data->request.query); |
| 1744 | } |
| 1745 | |
| 1746 | if (entry->has_data_only) { |
| 1747 | buffer_json_member_add_boolean(payload, "data_only", true); |
| 1748 | } |
| 1749 | |
| 1750 | if (entry->has_slice) { |
| 1751 | buffer_json_member_add_boolean(payload, "slice", true); |
| 1752 | } |
| 1753 | |
| 1754 | // Build selections object - start with provided selections and add condition-based selections for has_history functions |
| 1755 | bool selections_added = false; |
| 1756 | |
| 1757 | // For has_history functions, add selections based on conditions with == or match operators |
| 1758 | if (entry->has_history && data->request.conditions.count > 0) { |
| 1759 | buffer_json_member_add_object(payload, "selections"); |
| 1760 | selections_added = true; |
| 1761 | |
| 1762 | for (size_t i = 0; i < data->request.conditions.count; i++) { |
| 1763 | CONDITION *cond = &data->request.conditions.items[i]; |
| 1764 | |
| 1765 | // Skip wildcard searches and unsupported operators (these were validated earlier) |
| 1766 | if (cond->column_index == -1 || (cond->op != OP_EQUALS && cond->op != OP_MATCH)) { |
| 1767 | continue; |
| 1768 | } |
| 1769 | |
| 1770 | const char *column_name = cond->column_name; |
| 1771 | |
| 1772 | if (cond->op == OP_EQUALS && cond->v_type == COND_VALUE_STRING) { |
| 1773 | // Single value equality: key == value -> "key": ["value"] |
| 1774 | buffer_json_member_add_array(payload, column_name); |
| 1775 | buffer_json_add_array_item_string(payload, cond->v_str); |
| 1776 | buffer_json_array_close(payload); |
| 1777 | } |
| 1778 | else if (cond->op == OP_MATCH && cond->v_type == COND_VALUE_STRING) { |
| 1779 | // Pattern match without wildcards: key match a|b|c -> "key": ["a", "b", "c"] |
| 1780 | const char *pattern_str = cond->v_str; |
| 1781 | |
| 1782 | // Parse the pipe-separated values |
| 1783 | buffer_json_member_add_array(payload, column_name); |
| 1784 | |
| 1785 | CLEAN_BUFFER *temp_value = buffer_create(0, NULL); |
| 1786 | const char *current = pattern_str; |
| 1787 | const char *pipe_pos; |
| 1788 | |
| 1789 | while ((pipe_pos = strchr(current, '|')) != NULL) { |
| 1790 | // Extract value between current and pipe_pos |
| 1791 | buffer_flush(temp_value); |
| 1792 | buffer_strncat(temp_value, current, pipe_pos - current); |
| 1793 | |
| 1794 | // Add to array if non-empty |
| 1795 | if (buffer_strlen(temp_value) > 0) { |
| 1796 | buffer_json_add_array_item_string(payload, buffer_tostring(temp_value)); |
| 1797 | } |
| 1798 | |
| 1799 | current = pipe_pos + 1; |
| 1800 | } |
| 1801 | |
| 1802 | // Add the last value after the final pipe (or the only value if no pipes) |
| 1803 | if (*current) { |
| 1804 | buffer_json_add_array_item_string(payload, current); |
| 1805 | } |
| 1806 | |
| 1807 | buffer_json_array_close(payload); |
| 1808 | } |
| 1809 | } |
| 1810 | } |
| 1811 | |
| 1812 | // Add user-provided selections if provided |
| 1813 | if (selections && json_object_is_type(selections, json_type_object)) { |
| 1814 | if (!selections_added) { |
| 1815 | buffer_json_member_add_object(payload, "selections"); |
| 1816 | selections_added = true; |
| 1817 | } |
| 1818 | |
| 1819 | struct json_object_iterator it = json_object_iter_begin(selections); |
| 1820 | struct json_object_iterator itEnd = json_object_iter_end(selections); |
| 1821 | |
| 1822 | while (!json_object_iter_equal(&it, &itEnd)) { |
| 1823 | const char *key = json_object_iter_peek_name(&it); |
| 1824 | struct json_object *val = json_object_iter_peek_value(&it); |
| 1825 | |
| 1826 | if (!val) { |
| 1827 | json_object_iter_next(&it); |
| 1828 | continue; |
| 1829 | } |
| 1830 | |
| 1831 | if (json_object_is_type(val, json_type_string)) { |
| 1832 | // Single string value - convert to array for consistency |
| 1833 | buffer_json_member_add_array(payload, key); |
| 1834 | buffer_json_add_array_item_string(payload, json_object_get_string(val)); |
| 1835 | buffer_json_array_close(payload); |
| 1836 | } else if (json_object_is_type(val, json_type_array)) { |
| 1837 | // Array of values |
| 1838 | buffer_json_member_add_array(payload, key); |
| 1839 | |
| 1840 | size_t array_len = json_object_array_length(val); |
| 1841 | for (size_t i = 0; i < array_len; i++) { |
| 1842 | struct json_object *item = json_object_array_get_idx(val, i); |
| 1843 | if (item && json_object_is_type(item, json_type_string)) { |
| 1844 | buffer_json_add_array_item_string(payload, json_object_get_string(item)); |
| 1845 | } |
| 1846 | } |
| 1847 | |
| 1848 | buffer_json_array_close(payload); |
| 1849 | } |
| 1850 | |
| 1851 | json_object_iter_next(&it); |
| 1852 | } |
| 1853 | } |
| 1854 | |
| 1855 | if (selections_added) { |
| 1856 | buffer_json_object_close(payload); // close "selections" |
| 1857 | } |
| 1858 | |
| 1859 | buffer_json_finalize(payload); |
| 1860 | |
| 1861 | return payload; |
| 1862 | } |
| 1863 | |
| 1864 | // Generate helpful message about required parameters |
| 1865 | static void generate_required_params_message(BUFFER *message, MCP_FUNCTION_REGISTRY_ENTRY *entry, |
| 1866 | bool missing_timeframe, BUFFER *missing_params) { |
| 1867 | bool has_missing_params = (buffer_strlen(missing_params) > 0); |
| 1868 | |
| 1869 | if (!missing_timeframe && !has_missing_params) { |
| 1870 | return; // Nothing to show |
| 1871 | } |
| 1872 | |
| 1873 | buffer_sprintf(message, |
| 1874 | "This function has some required parameters.\n" |
| 1875 | "Please repeat the request adding the following:\n\n"); |
| 1876 | |
| 1877 | // Add timeframe requirements ONLY if timeframe is missing |
| 1878 | if (missing_timeframe && entry->has_timeframe) { |
| 1879 | buffer_strcat(message, |
| 1880 | "TIMEFRAME PARAMETERS (Required):\n" |
| 1881 | "- 'after': Start time (timestamp in seconds or RFC3339 datetime string)\n" |
| 1882 | "- 'before': End time (timestamp in seconds or RFC3339 datetime string)\n"); |
| 1883 | |
| 1884 | // Add optional time-based parameters that are commonly used with history functions |
| 1885 | if (entry->has_direction) { |
| 1886 | buffer_strcat(message, "- 'direction': Query direction ('forward' or 'backward')\n"); |
| 1887 | } |
| 1888 | if (entry->has_last) { |
| 1889 | buffer_strcat(message, "- 'limit': Maximum number of entries to return\n"); |
| 1890 | } |
| 1891 | |
| 1892 | buffer_strcat(message, "\n"); |
| 1893 | } |
| 1894 | |
| 1895 | // Only show sections for parameters that are actually missing |
| 1896 | if (has_missing_params) { |
| 1897 | size_t selection_count = 0; |
| 1898 | for (size_t i = 0; i < entry->required_params_count; i++) { |
| 1899 | MCP_FUNCTION_PARAM *param = &entry->required_params[i]; |
| 1900 | const char *param_id = string2str(param->id); |
| 1901 | |
| 1902 | // Check if this parameter is in the missing list |
| 1903 | if (strstr(buffer_tostring(missing_params), param_id)) { |
| 1904 | selection_count++; |
| 1905 | buffer_sprintf(message, "SELECTION %zu:\n", selection_count); |
| 1906 | buffer_sprintf(message, "Description: %s\n", string2str(param->help)); |
| 1907 | buffer_sprintf(message, "key: '%s'\n", param_id); |
| 1908 | |
| 1909 | if (param->type == MCP_REQUIRED_PARAMS_TYPE_SELECT) { |
| 1910 | buffer_strcat(message, "With one of the following values:\n"); |
| 1911 | } else { |
| 1912 | buffer_strcat(message, "With one or more of the following values:\n"); |
| 1913 | } |
| 1914 | |
| 1915 | for (size_t j = 0; j < param->options_count; j++) { |
| 1916 | const char *id = string2str(param->options[j].id); |
| 1917 | const char *name = string2str(param->options[j].name); |
| 1918 | const char *info = string2str(param->options[j].info); |
| 1919 | |
| 1920 | // Only show name if it's different from id |
| 1921 | bool show_name = (name && *name && strcmp(id, name) != 0); |
| 1922 | |
| 1923 | if (info && *info) { |
| 1924 | if (show_name) { |
| 1925 | buffer_sprintf(message, " - '%s': %s (%s)\n", id, name, info); |
| 1926 | } else { |
| 1927 | buffer_sprintf(message, " - '%s' (%s)\n", id, info); |
| 1928 | } |
| 1929 | } else { |
| 1930 | if (show_name) { |
| 1931 | buffer_sprintf(message, " - '%s': %s\n", id, name); |
| 1932 | } else { |
| 1933 | buffer_sprintf(message, " - '%s'\n", id); |
| 1934 | } |
| 1935 | } |
| 1936 | } |
| 1937 | |
| 1938 | buffer_strcat(message, "\n"); |
| 1939 | } |
| 1940 | } |
| 1941 | } |
| 1942 | |
| 1943 | // Only show example if there are missing parameters |
| 1944 | if (missing_timeframe || has_missing_params) { |
| 1945 | buffer_strcat(message, "\nExample:\n\n```json\n{\n"); |
| 1946 | |
| 1947 | // Add timeframe parameters to example ONLY if they're missing |
| 1948 | if (missing_timeframe && entry->has_timeframe) { |
| 1949 | buffer_strcat(message, " \"after\": 1648627200,\n"); |
| 1950 | buffer_strcat(message, " \"before\": 1648630800,\n"); |
| 1951 | |
| 1952 | // Add optional time-based parameters to the example |
| 1953 | if (entry->has_direction) { |
| 1954 | buffer_strcat(message, " \"direction\": \"backward\",\n"); |
| 1955 | } |
| 1956 | if (entry->has_last) { |
| 1957 | buffer_strcat(message, " \"limit\": 100,\n"); |
| 1958 | } |
| 1959 | } |
| 1960 | |
| 1961 | // Add selections ONLY for missing required params |
| 1962 | if (has_missing_params) { |
| 1963 | buffer_strcat(message, " \"selections\": {\n"); |
| 1964 | |
| 1965 | bool first_param = true; |
| 1966 | for (size_t i = 0; i < entry->required_params_count; i++) { |
| 1967 | MCP_FUNCTION_PARAM *param = &entry->required_params[i]; |
| 1968 | const char *param_id = string2str(param->id); |
| 1969 | |
| 1970 | // Only include this parameter if it's missing |
| 1971 | if (strstr(buffer_tostring(missing_params), param_id)) { |
| 1972 | if (!first_param) buffer_strcat(message, ",\n"); |
| 1973 | first_param = false; |
| 1974 | |
| 1975 | if (param->type == MCP_REQUIRED_PARAMS_TYPE_SELECT) { |
| 1976 | // For select type, show single value (not array) |
| 1977 | if (param->options_count > 0) { |
| 1978 | buffer_sprintf(message, " \"%s\": \"%s\"", |
| 1979 | param_id, |
| 1980 | string2str(param->options[0].id)); |
| 1981 | } else { |
| 1982 | buffer_sprintf(message, " \"%s\": \"value\"", param_id); |
| 1983 | } |
| 1984 | } else { |
| 1985 | // For multiselect type, show array |
| 1986 | buffer_sprintf(message, " \"%s\": [", param_id); |
| 1987 | if (param->options_count > 0) { |
| 1988 | // Show first few options as examples |
| 1989 | size_t examples = param->options_count > 2 ? 2 : param->options_count; |
| 1990 | for (size_t j = 0; j < examples; j++) { |
| 1991 | if (j > 0) buffer_strcat(message, ", "); |
| 1992 | buffer_sprintf(message, "\"%s\"", string2str(param->options[j].id)); |
| 1993 | } |
| 1994 | } else { |
| 1995 | buffer_strcat(message, "\"value1\", \"value2\""); |
| 1996 | } |
| 1997 | buffer_strcat(message, "]"); |
| 1998 | } |
| 1999 | } |
| 2000 | } |
| 2001 | |
| 2002 | buffer_strcat(message, "\n }"); |
| 2003 | } |
| 2004 | |
| 2005 | buffer_strcat(message, "\n}\n```"); |
| 2006 | } |
| 2007 | } |
| 2008 | |
| 2009 | // Parse the request parameters and populate the MCP_FUNCTION_DATA structure |
| 2010 | static MCP_RETURN_CODE mcp_parse_function_request(MCP_FUNCTION_DATA *data, MCP_CLIENT *mcpc, struct json_object *params) { |
| 2011 | if (!data || !mcpc || !params) |
| 2012 | return MCP_RC_ERROR; |
| 2013 | |
| 2014 | // Set request context |
| 2015 | data->request.mcpc = mcpc; |
| 2016 | data->request.params = params; |
| 2017 | data->request.auth = mcpc->user_auth; |
| 2018 | |
| 2019 | // Parse required parameter: node |
| 2020 | struct json_object *obj = NULL; |
| 2021 | if (json_object_object_get_ex(params, "node", &obj) && |
| 2022 | json_object_is_type(obj, json_type_string)) { |
| 2023 | data->request.node = json_object_get_string(obj); |
| 2024 | } |
| 2025 | |
| 2026 | if (!data->request.node || !*data->request.node) { |
| 2027 | buffer_sprintf(mcpc->error, "Missing required parameter 'node'"); |
| 2028 | return MCP_RC_BAD_REQUEST; |
| 2029 | } |
| 2030 | |
| 2031 | // Parse required parameter: function |
| 2032 | if (json_object_object_get_ex(params, "function", &obj) && |
| 2033 | json_object_is_type(obj, json_type_string)) { |
| 2034 | data->request.function = json_object_get_string(obj); |
| 2035 | } |
| 2036 | |
| 2037 | if (!data->request.function || !*data->request.function) { |
| 2038 | buffer_sprintf(mcpc->error, "Missing required parameter 'function'"); |
| 2039 | return MCP_RC_BAD_REQUEST; |
| 2040 | } |
| 2041 | |
| 2042 | // Parse timeout parameter |
| 2043 | data->request.timeout = (time_t)mcp_params_extract_timeout(params, "timeout", 60, 1, 3600, mcpc->error); |
| 2044 | if (buffer_strlen(mcpc->error) > 0) { |
| 2045 | return MCP_RC_BAD_REQUEST; |
| 2046 | } |
| 2047 | |
| 2048 | // Parse optional filtering parameters |
| 2049 | |
| 2050 | // Parse time-based parameters |
| 2051 | if (!mcp_params_parse_time_window(params, &data->request.after, &data->request.before, |
| 2052 | 0, 0, true, mcpc->error)) { |
| 2053 | return MCP_RC_BAD_REQUEST; |
| 2054 | } |
| 2055 | |
| 2056 | // Check if timeframe parameters are required but missing (will be validated later with registry entry) |
| 2057 | |
| 2058 | // Parse cursor parameter |
| 2059 | data->request.cursor = mcp_params_extract_string(params, "cursor", NULL); |
| 2060 | |
| 2061 | // Convert cursor to internal anchor timestamp |
| 2062 | data->request.anchor = 0; // Will be set if cursor is valid |
| 2063 | if (data->request.cursor && *data->request.cursor) { |
| 2064 | // For now, assume cursor is a timestamp_usec string |
| 2065 | char *endptr; |
| 2066 | usec_t cursor_timestamp = strtoull(data->request.cursor, &endptr, 10); |
| 2067 | if (*endptr == '\0' && cursor_timestamp > 0) { |
| 2068 | data->request.anchor = cursor_timestamp; |
| 2069 | } |
| 2070 | } |
| 2071 | if (buffer_strlen(mcpc->error) > 0) { |
| 2072 | return MCP_RC_BAD_REQUEST; |
| 2073 | } |
| 2074 | |
| 2075 | // Extract limit parameter (used for both history and non-history functions) |
| 2076 | data->request.limit = (size_t)mcp_params_extract_size(params, "limit", 0, 0, SIZE_MAX, mcpc->error); |
| 2077 | if (buffer_strlen(mcpc->error) > 0) { |
| 2078 | return MCP_RC_BAD_REQUEST; |
| 2079 | } |
| 2080 | |
| 2081 | // direction parameter |
| 2082 | if (json_object_object_get_ex(params, "direction", &obj) && |
| 2083 | json_object_is_type(obj, json_type_string)) { |
| 2084 | const char *direction = json_object_get_string(obj); |
| 2085 | if (direction && (strcmp(direction, "forward") == 0 || strcmp(direction, "backward") == 0)) { |
| 2086 | data->request.direction = direction; |
| 2087 | } else if (direction) { |
| 2088 | buffer_sprintf(mcpc->error, "Invalid direction: '%s'. Valid options are 'forward' or 'backward'.", direction); |
| 2089 | return MCP_RC_BAD_REQUEST; |
| 2090 | } |
| 2091 | } |
| 2092 | |
| 2093 | // query parameter for full-text search |
| 2094 | if (json_object_object_get_ex(params, "q", &obj) && |
| 2095 | json_object_is_type(obj, json_type_string)) { |
| 2096 | const char *query = json_object_get_string(obj); |
| 2097 | if (query && *query) { |
| 2098 | data->request.query = query; |
| 2099 | } |
| 2100 | } |
| 2101 | |
| 2102 | |
| 2103 | // columns array - parse it early |
| 2104 | if (json_object_object_get_ex(params, "columns", &obj) && |
| 2105 | json_object_is_type(obj, json_type_array) && |
| 2106 | json_object_array_length(obj) > 0) { |
| 2107 | size_t count = json_object_array_length(obj); |
| 2108 | if (count > MAX_SELECTED_COLUMNS) { |
| 2109 | buffer_sprintf(mcpc->error, "Too many columns requested. Maximum is %d.", MAX_SELECTED_COLUMNS); |
| 2110 | return MCP_RC_BAD_REQUEST; |
| 2111 | } |
| 2112 | |
| 2113 | data->request.columns.count = 0; |
| 2114 | for (size_t i = 0; i < count; i++) { |
| 2115 | struct json_object *col_obj = json_object_array_get_idx(obj, i); |
| 2116 | if (col_obj && json_object_is_type(col_obj, json_type_string)) { |
| 2117 | data->request.columns.array[data->request.columns.count++] = json_object_get_string(col_obj); |
| 2118 | } |
| 2119 | } |
| 2120 | } |
| 2121 | |
| 2122 | // sort_column |
| 2123 | if (json_object_object_get_ex(params, "sort_column", &obj) && |
| 2124 | json_object_is_type(obj, json_type_string)) { |
| 2125 | const char *value = json_object_get_string(obj); |
| 2126 | if (value && *value) { |
| 2127 | data->request.sort.column = value; |
| 2128 | } |
| 2129 | } |
| 2130 | |
| 2131 | // sort_order and parse it to boolean |
| 2132 | data->request.sort.descending = true; // default to DESC |
| 2133 | if (json_object_object_get_ex(params, "sort_order", &obj) && |
| 2134 | json_object_is_type(obj, json_type_string)) { |
| 2135 | const char *sort_order = json_object_get_string(obj); |
| 2136 | if (sort_order) { |
| 2137 | if (strcasecmp(sort_order, "asc") == 0) { |
| 2138 | data->request.sort.descending = false; |
| 2139 | } else if (strcasecmp(sort_order, "desc") != 0) { |
| 2140 | // Invalid sort order |
| 2141 | buffer_sprintf(mcpc->error, "Invalid sort_order: '%s'. Valid options are 'asc' or 'desc'.", sort_order); |
| 2142 | return MCP_RC_BAD_REQUEST; |
| 2143 | } |
| 2144 | } |
| 2145 | } |
| 2146 | |
| 2147 | // limit is already extracted above for all function types |
| 2148 | |
| 2149 | // conditions array - parse it early |
| 2150 | if (json_object_object_get_ex(params, "conditions", &obj) && |
| 2151 | json_object_is_type(obj, json_type_array) && |
| 2152 | json_object_array_length(obj) > 0) { |
| 2153 | // Parse conditions early |
| 2154 | MCP_RETURN_CODE rc = mcp_parse_conditions_early(&data->request.conditions, obj, mcpc->error); |
| 2155 | if (rc != MCP_RC_OK) { |
| 2156 | return rc; |
| 2157 | } |
| 2158 | } |
| 2159 | |
| 2160 | // Convert query parameter to a full-text search condition |
| 2161 | if (data->request.query && *data->request.query) { |
| 2162 | // Check if we have room for one more condition |
| 2163 | if (data->request.conditions.count >= MAX_CONDITIONS) { |
| 2164 | buffer_sprintf(mcpc->error, "Too many search criteria. Cannot add full-text search query on top of %zu existing conditions. Maximum is %d.", |
| 2165 | data->request.conditions.count, MAX_CONDITIONS); |
| 2166 | return MCP_RC_BAD_REQUEST; |
| 2167 | } |
| 2168 | |
| 2169 | // Add a wildcard search condition for the query |
| 2170 | CONDITION *query_condition = &data->request.conditions.items[data->request.conditions.count]; |
| 2171 | query_condition->column_name = "*"; |
| 2172 | query_condition->column_index = -1; // Will be set properly during resolve |
| 2173 | query_condition->op = OP_MATCH; |
| 2174 | query_condition->v_type = COND_VALUE_STRING; |
| 2175 | query_condition->v_str = data->request.query; |
| 2176 | |
| 2177 | // Create pattern using substring function (no need to add wildcards manually) |
| 2178 | query_condition->pattern = string_to_simple_pattern_nocase_substring(data->request.query); |
| 2179 | |
| 2180 | data->request.conditions.count++; |
| 2181 | } |
| 2182 | |
| 2183 | // Find the host |
| 2184 | data->request.host = rrdhost_find_by_hostname(data->request.node); |
| 2185 | if (!data->request.host) { |
| 2186 | data->request.host = rrdhost_find_by_guid(data->request.node); |
| 2187 | if (!data->request.host) { |
| 2188 | data->request.host = rrdhost_find_by_node_id(data->request.node); |
| 2189 | } |
| 2190 | } |
| 2191 | |
| 2192 | if (!data->request.host) { |
| 2193 | buffer_sprintf(mcpc->error, "Node not found: %s", data->request.node); |
| 2194 | return MCP_RC_NOT_FOUND; |
| 2195 | } |
| 2196 | |
| 2197 | // Generate transaction UUID |
| 2198 | uuid_generate(data->request.transaction_uuid); |
| 2199 | uuid_unparse_lower(data->request.transaction_uuid, data->request.transaction); |
| 2200 | |
| 2201 | return MCP_RC_OK; |
| 2202 | } |
| 2203 | |
| 2204 | // Execute the function and populate the input section of data |
| 2205 | static MCP_RETURN_CODE mcp_function_run(MCP_FUNCTION_DATA *data, BUFFER *payload) { |
| 2206 | if (!data || !data->request.host || !data->request.function) |
| 2207 | return MCP_RC_ERROR; |
| 2208 | |
| 2209 | // Create source buffer from user_auth |
| 2210 | CLEAN_BUFFER *source = buffer_create(0, NULL); |
| 2211 | user_auth_to_source_buffer(data->request.auth, source); |
| 2212 | buffer_strcat(source, ",modelcontextprotocol"); |
| 2213 | |
| 2214 | // Create result buffer (will be owned by data->input.json) |
| 2215 | BUFFER *result_buffer = buffer_create(0, NULL); |
| 2216 | |
| 2217 | // Execute the function |
| 2218 | int ret = rrd_function_run( |
| 2219 | data->request.host, |
| 2220 | result_buffer, |
| 2221 | (int)data->request.timeout, |
| 2222 | data->request.auth->access, |
| 2223 | data->request.function, |
| 2224 | true, |
| 2225 | data->request.transaction, |
| 2226 | NULL, |
| 2227 | NULL, |
| 2228 | NULL, |
| 2229 | NULL, |
| 2230 | NULL, |
| 2231 | NULL, |
| 2232 | payload, |
| 2233 | buffer_tostring(source), |
| 2234 | false |
| 2235 | ); |
| 2236 | |
| 2237 | if (ret != HTTP_RESP_OK) { |
| 2238 | buffer_sprintf(data->request.mcpc->error, |
| 2239 | "Failed to execute function '%s' on node '%s', " |
| 2240 | "http error code %d (%s):\n" |
| 2241 | "```json\n%s\n```", |
| 2242 | data->request.function, data->request.node, ret, |
| 2243 | http_response_code2string(ret), |
| 2244 | buffer_tostring(result_buffer)); |
| 2245 | buffer_free(result_buffer); |
| 2246 | return MCP_RC_ERROR; |
| 2247 | } |
| 2248 | |
| 2249 | // Store the result in data->input |
| 2250 | data->input.json = result_buffer; |
| 2251 | data->input.jobj = json_tokener_parse(buffer_tostring(result_buffer)); |
| 2252 | |
| 2253 | // Analyze the response type |
| 2254 | int status = 0; |
| 2255 | data->input.type = mcp_functions_analyze_response(data->input.jobj, &status); |
| 2256 | |
| 2257 | return MCP_RC_OK; |
| 2258 | } |
| 2259 | |
| 2260 | |
| 2261 | // Process table response |
| 2262 | static MCP_RETURN_CODE mcp_functions_process_table(MCP_FUNCTION_DATA *data, MCP_REQUEST_ID id) { |
| 2263 | const size_t max_size_threshold = 20UL * 1024; |
| 2264 | |
| 2265 | // Initialize success response |
| 2266 | mcp_init_success_result(data->request.mcpc, id); |
| 2267 | |
| 2268 | // Start building content array for the result |
| 2269 | buffer_json_member_add_array(data->request.mcpc->result, "content"); |
| 2270 | |
| 2271 | if (!data->input.jobj) { |
| 2272 | // Not valid JSON - return raw output with message |
| 2273 | data->output.status = MCP_TABLE_NOT_JSON; |
| 2274 | buffer_strcat(data->output.result, buffer_tostring(data->input.json)); |
| 2275 | add_table_messages_to_mcp_result(data, NULL); |
| 2276 | } |
| 2277 | else if (data->input.type == FN_TYPE_NOT_TABLE && data->input.type != FN_TYPE_TABLE_WITH_HISTORY) { |
| 2278 | // Not a processable table format |
| 2279 | data->output.status = MCP_TABLE_NOT_PROCESSABLE; |
| 2280 | buffer_strcat(data->output.result, buffer_tostring(data->input.json)); |
| 2281 | add_table_messages_to_mcp_result(data, NULL); |
| 2282 | } |
| 2283 | else { |
| 2284 | // It's a processable table - get data and columns |
| 2285 | struct json_object *data_obj = NULL; |
| 2286 | struct json_object *columns_obj = NULL; |
| 2287 | |
| 2288 | if (!json_object_object_get_ex(data->input.jobj, "data", &data_obj) || |
| 2289 | !json_object_object_get_ex(data->input.jobj, "columns", &columns_obj)) { |
| 2290 | // Missing required fields, treat as not processable |
| 2291 | data->output.status = MCP_TABLE_NOT_PROCESSABLE; |
| 2292 | buffer_strcat(data->output.result, buffer_tostring(data->input.json)); |
| 2293 | add_table_messages_to_mcp_result(data, NULL); |
| 2294 | } |
| 2295 | else { |
| 2296 | // Check if data is empty |
| 2297 | size_t original_row_count = json_object_array_length(data_obj); |
| 2298 | |
| 2299 | if (original_row_count == 0) { |
| 2300 | // Empty result |
| 2301 | data->output.status = MCP_TABLE_EMPTY_RESULT; |
| 2302 | buffer_strcat(data->output.result, buffer_tostring(data->input.json)); |
| 2303 | add_table_messages_to_mcp_result(data, columns_obj); |
| 2304 | } |
| 2305 | else { |
| 2306 | // Process the table with filtering |
| 2307 | mcp_process_table_result(data, max_size_threshold); |
| 2308 | |
| 2309 | // Check for errors or special conditions |
| 2310 | if (data->output.status != MCP_TABLE_OK && |
| 2311 | data->output.status != MCP_TABLE_RESPONSE_TOO_BIG && |
| 2312 | data->output.status != MCP_TABLE_INFO_MISSING_COLUMNS_FOUND_RESULTS) { |
| 2313 | // Handle errors |
| 2314 | add_table_messages_to_mcp_result(data, columns_obj); |
| 2315 | } |
| 2316 | else { |
| 2317 | // Check if we need to add any informational messages |
| 2318 | if (data->output.status == MCP_TABLE_INFO_MISSING_COLUMNS_FOUND_RESULTS) { |
| 2319 | add_table_messages_to_mcp_result(data, columns_obj); |
| 2320 | data->output.status = MCP_TABLE_OK; |
| 2321 | } |
| 2322 | else if (data->output.status == MCP_TABLE_RESPONSE_TOO_BIG) { |
| 2323 | // The table was already processed with limit=1 due to size |
| 2324 | // Add the guidance message |
| 2325 | add_table_messages_to_mcp_result(data, columns_obj); |
| 2326 | } |
| 2327 | |
| 2328 | // Add the final result |
| 2329 | buffer_json_add_array_item_object(data->request.mcpc->result); |
| 2330 | { |
| 2331 | buffer_json_member_add_string(data->request.mcpc->result, "type", "text"); |
| 2332 | buffer_json_member_add_string(data->request.mcpc->result, "text", buffer_tostring(data->output.result)); |
| 2333 | } |
| 2334 | buffer_json_object_close(data->request.mcpc->result); |
| 2335 | } |
| 2336 | } |
| 2337 | } |
| 2338 | } |
| 2339 | |
| 2340 | buffer_json_array_close(data->request.mcpc->result); // Close content array |
| 2341 | |
| 2342 | // Add nextCursor for pagination if applicable (only for successful results) |
| 2343 | if (data->pagination.enabled && data->input.rows > 0 && data->output.status == MCP_TABLE_OK) { |
| 2344 | usec_t next_cursor_timestamp = calculate_next_cursor_from_input(data); |
| 2345 | if (next_cursor_timestamp > 0) { |
| 2346 | CLEAN_BUFFER *cursor_str = buffer_create(0, NULL); |
| 2347 | buffer_sprintf(cursor_str, "%" PRIu64, next_cursor_timestamp); |
| 2348 | buffer_json_member_add_string(data->request.mcpc->result, "nextCursor", buffer_tostring(cursor_str)); |
| 2349 | } |
| 2350 | } |
| 2351 | |
| 2352 | buffer_json_object_close(data->request.mcpc->result); // Close result object |
| 2353 | buffer_json_finalize(data->request.mcpc->result); // Finalize the JSON |
| 2354 | |
| 2355 | return MCP_RC_OK; |
| 2356 | } |
| 2357 | |
| 2358 | // Check all requirements and violations collectively for a function execution |
| 2359 | // Returns true if all checks pass, false if there are violations |
| 2360 | // If false is returned, mcpc->error and mcpc->result contain appropriate error messages |
| 2361 | static bool check_requirements_and_violations(MCP_FUNCTION_DATA *data, |
| 2362 | MCP_FUNCTION_REGISTRY_ENTRY *registry_entry, |
| 2363 | struct json_object *selections, |
| 2364 | MCP_REQUEST_ID id) { |
| 2365 | MCP_CLIENT *mcpc = data->request.mcpc; |
| 2366 | |
| 2367 | // 1. Set booleans for each invalid parameter/violation |
| 2368 | bool invalid_timeframe_on_non_history = false; |
| 2369 | bool missing_timeframe_on_history = false; |
| 2370 | bool invalid_condition_operators = false; |
| 2371 | bool invalid_wildcard_patterns = false; |
| 2372 | bool invalid_column_sorting = false; |
| 2373 | bool missing_required_params = false; |
| 2374 | bool invalid_selections_on_non_required = false; |
| 2375 | |
| 2376 | // Arrays to track specific invalid items |
| 2377 | CLEAN_BUFFER *invalid_conditions = buffer_create(0, NULL); |
| 2378 | CLEAN_BUFFER *missing_params = buffer_create(0, NULL); |
| 2379 | |
| 2380 | // Check 1: Functions with has_history=false should not receive time parameters |
| 2381 | if (!registry_entry->has_history) { |
| 2382 | if (data->request.after > 0 || data->request.before > 0 || |
| 2383 | data->request.anchor > 0 || data->request.direction) { |
| 2384 | invalid_timeframe_on_non_history = true; |
| 2385 | } |
| 2386 | } |
| 2387 | |
| 2388 | // Check 2: Functions with has_history=true should have required parameters |
| 2389 | if (registry_entry->has_history) { |
| 2390 | if (data->request.after == 0) { |
| 2391 | missing_timeframe_on_history = true; |
| 2392 | } |
| 2393 | |
| 2394 | // Check 3: Functions with has_history=true should not use unsupported operations |
| 2395 | if (data->request.conditions.count > 0) { |
| 2396 | for (size_t i = 0; i < data->request.conditions.count; i++) { |
| 2397 | CONDITION *cond = &data->request.conditions.items[i]; |
| 2398 | |
| 2399 | // Check for unsupported operators |
| 2400 | if (cond->op != OP_EQUALS && cond->op != OP_MATCH) { |
| 2401 | invalid_condition_operators = true; |
| 2402 | if (buffer_strlen(invalid_conditions) > 0) |
| 2403 | buffer_strcat(invalid_conditions, ", "); |
| 2404 | buffer_sprintf(invalid_conditions, "'%s' (uses %s operator)", |
| 2405 | cond->column_name, |
| 2406 | cond->op == OP_NOT_EQUALS ? "!=" : |
| 2407 | cond->op == OP_LESS ? "<" : |
| 2408 | cond->op == OP_LESS_EQUALS ? "<=" : |
| 2409 | cond->op == OP_GREATER ? ">" : |
| 2410 | cond->op == OP_GREATER_EQUALS ? ">=" : |
| 2411 | cond->op == OP_NOT_MATCH ? "not match" : "unknown"); |
| 2412 | continue; |
| 2413 | } |
| 2414 | |
| 2415 | // Check for pattern matching with wildcards (except for "*" column which is full-text search) |
| 2416 | if (cond->op == OP_MATCH && cond->pattern && strcmp(cond->column_name, "*") != 0) { |
| 2417 | const char *pattern_str = (cond->v_type == COND_VALUE_STRING) ? cond->v_str : NULL; |
| 2418 | if (pattern_str && (strchr(pattern_str, '*') || strchr(pattern_str, '?'))) { |
| 2419 | invalid_wildcard_patterns = true; |
| 2420 | if (buffer_strlen(invalid_conditions) > 0) |
| 2421 | buffer_strcat(invalid_conditions, ", "); |
| 2422 | buffer_sprintf(invalid_conditions, "'%s' (uses wildcards in pattern '%s')", |
| 2423 | cond->column_name, pattern_str); |
| 2424 | } |
| 2425 | } |
| 2426 | } |
| 2427 | } |
| 2428 | |
| 2429 | // Check 4: Functions with has_history=true should not use column sorting |
| 2430 | if (data->request.sort.column) { |
| 2431 | invalid_column_sorting = true; |
| 2432 | } |
| 2433 | } |
| 2434 | |
| 2435 | // Check 5: Required parameters validation |
| 2436 | if (registry_entry->required_params_count > 0) { |
| 2437 | if (!selections) { |
| 2438 | missing_required_params = true; |
| 2439 | for (size_t i = 0; i < registry_entry->required_params_count; i++) { |
| 2440 | const char *param_id = string2str(registry_entry->required_params[i].id); |
| 2441 | if (buffer_strlen(missing_params) > 0) |
| 2442 | buffer_strcat(missing_params, ", "); |
| 2443 | buffer_strcat(missing_params, param_id); |
| 2444 | } |
| 2445 | } else { |
| 2446 | // Check if all required parameters have non-empty values |
| 2447 | for (size_t i = 0; i < registry_entry->required_params_count; i++) { |
| 2448 | const char *param_id = string2str(registry_entry->required_params[i].id); |
| 2449 | MCP_FUNCTION_PARAM *param = ®istry_entry->required_params[i]; |
| 2450 | struct json_object *param_value = NULL; |
| 2451 | bool param_invalid = false; |
| 2452 | |
| 2453 | if (!json_object_object_get_ex(selections, param_id, ¶m_value)) { |
| 2454 | param_invalid = true; |
| 2455 | } else { |
| 2456 | // Validate based on parameter type |
| 2457 | if (param->type == MCP_REQUIRED_PARAMS_TYPE_SELECT) { |
| 2458 | // For select type, accept either string or array with single element |
| 2459 | if (json_object_is_type(param_value, json_type_string)) { |
| 2460 | const char *str_val = json_object_get_string(param_value); |
| 2461 | if (!str_val || !*str_val) { |
| 2462 | param_invalid = true; |
| 2463 | } |
| 2464 | } else if (json_object_is_type(param_value, json_type_array)) { |
| 2465 | if (json_object_array_length(param_value) == 0) { |
| 2466 | param_invalid = true; |
| 2467 | } |
| 2468 | } else { |
| 2469 | param_invalid = true; |
| 2470 | } |
| 2471 | } else { |
| 2472 | // For multiselect type, require array with at least one element |
| 2473 | if (!json_object_is_type(param_value, json_type_array) || |
| 2474 | json_object_array_length(param_value) == 0) { |
| 2475 | param_invalid = true; |
| 2476 | } |
| 2477 | } |
| 2478 | } |
| 2479 | |
| 2480 | if (param_invalid) { |
| 2481 | missing_required_params = true; |
| 2482 | if (buffer_strlen(missing_params) > 0) |
| 2483 | buffer_strcat(missing_params, ", "); |
| 2484 | buffer_strcat(missing_params, param_id); |
| 2485 | } |
| 2486 | } |
| 2487 | } |
| 2488 | } else { |
| 2489 | // Function has no required parameters - selections should not be provided |
| 2490 | if (selections && json_object_is_type(selections, json_type_object) && |
| 2491 | json_object_object_length(selections) > 0) { |
| 2492 | invalid_selections_on_non_required = true; |
| 2493 | } |
| 2494 | } |
| 2495 | |
| 2496 | // 2. Check if we have any violations |
| 2497 | bool has_violations = invalid_timeframe_on_non_history || missing_timeframe_on_history || |
| 2498 | invalid_condition_operators || invalid_wildcard_patterns || |
| 2499 | invalid_column_sorting || missing_required_params || |
| 2500 | invalid_selections_on_non_required; |
| 2501 | |
| 2502 | if (!has_violations) { |
| 2503 | return true; |
| 2504 | } |
| 2505 | |
| 2506 | // 3. Generate error response with summary and detailed messages |
| 2507 | mcp_init_success_result(mcpc, id); |
| 2508 | buffer_json_member_add_array(mcpc->result, "content"); |
| 2509 | buffer_json_add_array_item_object(mcpc->result); |
| 2510 | { |
| 2511 | buffer_json_member_add_string(mcpc->result, "type", "text"); |
| 2512 | |
| 2513 | CLEAN_BUFFER *message = buffer_create(0, NULL); |
| 2514 | |
| 2515 | // Summary of what's wrong |
| 2516 | buffer_strcat(message, "FUNCTION EXECUTION FAILED\n\n"); |
| 2517 | buffer_strcat(message, "Summary of issues:\n"); |
| 2518 | |
| 2519 | int issue_count = 0; |
| 2520 | if (invalid_timeframe_on_non_history) { |
| 2521 | buffer_sprintf(message, "%d. Invalid timeframe parameters for non-history function\n", ++issue_count); |
| 2522 | } |
| 2523 | if (missing_timeframe_on_history) { |
| 2524 | buffer_sprintf(message, "%d. Missing required timeframe parameters\n", ++issue_count); |
| 2525 | } |
| 2526 | if (invalid_condition_operators) { |
| 2527 | buffer_sprintf(message, "%d. Invalid condition operators used\n", ++issue_count); |
| 2528 | } |
| 2529 | if (invalid_wildcard_patterns) { |
| 2530 | buffer_sprintf(message, "%d. Invalid wildcard patterns in conditions\n", ++issue_count); |
| 2531 | } |
| 2532 | if (invalid_column_sorting) { |
| 2533 | buffer_sprintf(message, "%d. Invalid column sorting for history function\n", ++issue_count); |
| 2534 | } |
| 2535 | if (missing_required_params) { |
| 2536 | buffer_sprintf(message, "%d. Missing or invalid required parameters\n", ++issue_count); |
| 2537 | } |
| 2538 | if (invalid_selections_on_non_required) { |
| 2539 | buffer_sprintf(message, "%d. Invalid selections parameter for function without requirements\n", ++issue_count); |
| 2540 | } |
| 2541 | |
| 2542 | // Detailed explanations |
| 2543 | buffer_strcat(message, "\nDetailed explanations:\n\n"); |
| 2544 | |
| 2545 | if (invalid_timeframe_on_non_history) { |
| 2546 | buffer_strcat(message, "❌ TIMEFRAME PARAMETERS NOT SUPPORTED\n"); |
| 2547 | buffer_strcat(message, " Problem: This function does not support time-based parameters\n"); |
| 2548 | buffer_strcat(message, " Invalid parameters: after, before, cursor, direction\n"); |
| 2549 | buffer_strcat(message, " Solution: Remove all timeframe parameters from your request\n\n"); |
| 2550 | } |
| 2551 | |
| 2552 | if (missing_timeframe_on_history) { |
| 2553 | buffer_strcat(message, "❌ MISSING TIMEFRAME PARAMETERS\n"); |
| 2554 | buffer_strcat(message, " Problem: History functions require the 'after' parameter\n"); |
| 2555 | buffer_strcat(message, " Required: 'after' parameter must be specified (cannot be 0)\n"); |
| 2556 | buffer_strcat(message, " Time relationship: 'before' is relative to now, 'after' is relative to 'before'\n"); |
| 2557 | buffer_strcat(message, " Solution: Add after parameter, e.g., \"after\": -3600 (1 hour before 'before')\n\n"); |
| 2558 | } |
| 2559 | |
| 2560 | |
| 2561 | if (invalid_condition_operators) { |
| 2562 | buffer_strcat(message, "❌ INVALID CONDITION OPERATORS\n"); |
| 2563 | buffer_sprintf(message, " Problem: Invalid operators used in conditions for: %s\n", buffer_tostring(invalid_conditions)); |
| 2564 | buffer_strcat(message, " Allowed: Only '==' (equals) and 'match' (for value lists)\n"); |
| 2565 | buffer_strcat(message, " Solution: Change operators to '==' or use 'match' with pipe-separated values\n\n"); |
| 2566 | } |
| 2567 | |
| 2568 | if (invalid_wildcard_patterns) { |
| 2569 | buffer_strcat(message, "❌ INVALID WILDCARD PATTERNS\n"); |
| 2570 | buffer_sprintf(message, " Problem: Wildcard patterns not supported in conditions for: %s\n", buffer_tostring(invalid_conditions)); |
| 2571 | buffer_strcat(message, " Solution: Use exact values or pipe-separated lists (e.g., 'value1|value2|value3')\n\n"); |
| 2572 | } |
| 2573 | |
| 2574 | if (invalid_column_sorting) { |
| 2575 | buffer_strcat(message, "❌ INVALID COLUMN SORTING\n"); |
| 2576 | buffer_strcat(message, " Problem: Column-based sorting not supported for history functions\n"); |
| 2577 | buffer_strcat(message, " Solution: Remove 'sort_column' parameter and use 'direction' for time-based sorting\n\n"); |
| 2578 | } |
| 2579 | |
| 2580 | if (missing_required_params) { |
| 2581 | buffer_strcat(message, "❌ MISSING OR INVALID REQUIRED PARAMETERS\n"); |
| 2582 | buffer_sprintf(message, " Problem: Required parameters missing or invalid: %s\n", buffer_tostring(missing_params)); |
| 2583 | buffer_strcat(message, " Solution: Provide all required parameters with valid values\n\n"); |
| 2584 | |
| 2585 | // Include the helpful parameter message |
| 2586 | generate_required_params_message(message, registry_entry, missing_timeframe_on_history, missing_params); |
| 2587 | } |
| 2588 | |
| 2589 | if (invalid_selections_on_non_required) { |
| 2590 | buffer_strcat(message, "❌ INVALID SELECTIONS PARAMETER\n"); |
| 2591 | buffer_strcat(message, " Problem: This function does not accept the 'selections' parameter\n"); |
| 2592 | buffer_strcat(message, " Solution: Remove the 'selections' parameter from your request\n\n"); |
| 2593 | } |
| 2594 | |
| 2595 | buffer_json_member_add_string(mcpc->result, "text", buffer_tostring(message)); |
| 2596 | } |
| 2597 | buffer_json_object_close(mcpc->result); |
| 2598 | buffer_json_array_close(mcpc->result); |
| 2599 | buffer_json_object_close(mcpc->result); |
| 2600 | buffer_json_finalize(mcpc->result); |
| 2601 | return false; |
| 2602 | } |
| 2603 | |
| 2604 | MCP_RETURN_CODE mcp_tool_execute_function_execute(MCP_CLIENT *mcpc, struct json_object *params, MCP_REQUEST_ID id __maybe_unused) |
| 2605 | { |
| 2606 | if (!mcpc || !params) |
| 2607 | return MCP_RC_ERROR; |
| 2608 | |
| 2609 | // Create and initialize function data structure |
| 2610 | MCP_FUNCTION_DATA data; |
| 2611 | mcp_functions_data_init(&data); |
| 2612 | |
| 2613 | // Parse the request |
| 2614 | MCP_RETURN_CODE rc = mcp_parse_function_request(&data, mcpc, params); |
| 2615 | if (rc != MCP_RC_OK) { |
| 2616 | mcp_functions_data_cleanup(&data); |
| 2617 | return rc; |
| 2618 | } |
| 2619 | |
| 2620 | // Get function registry entry |
| 2621 | CLEAN_BUFFER *registry_error = buffer_create(0, NULL); |
| 2622 | MCP_FUNCTION_REGISTRY_ENTRY *registry_entry = mcp_functions_registry_get(data.request.host, data.request.function, registry_error); |
| 2623 | |
| 2624 | if (!registry_entry) { |
| 2625 | buffer_sprintf(mcpc->error, "Failed to get function info: %s", buffer_tostring(registry_error)); |
| 2626 | mcp_functions_data_cleanup(&data); |
| 2627 | return MCP_RC_ERROR; |
| 2628 | } |
| 2629 | |
| 2630 | // Check if function requires parameters |
| 2631 | struct json_object *selections = NULL; |
| 2632 | if (json_object_object_get_ex(params, "selections", &selections)) { |
| 2633 | // Selections provided - validate they are an object |
| 2634 | if (!json_object_is_type(selections, json_type_object)) { |
| 2635 | buffer_strcat(mcpc->error, "The 'selections' parameter must be an object with key-value pairs where values are arrays of strings"); |
| 2636 | mcp_functions_registry_release(registry_entry); |
| 2637 | mcp_functions_data_cleanup(&data); |
| 2638 | return MCP_RC_BAD_REQUEST; |
| 2639 | } |
| 2640 | } |
| 2641 | |
| 2642 | // Check all requirements and violations collectively |
| 2643 | if (!check_requirements_and_violations(&data, registry_entry, selections, id)) { |
| 2644 | mcp_functions_registry_release(registry_entry); |
| 2645 | mcp_functions_data_cleanup(&data); |
| 2646 | return MCP_RC_OK; // We've already set up the response in the validation function |
| 2647 | } |
| 2648 | |
| 2649 | // Build the actual function name to execute and POST payload if needed |
| 2650 | CLEAN_BUFFER *actual_function = buffer_create(0, NULL); |
| 2651 | CLEAN_BUFFER *post_payload = NULL; |
| 2652 | |
| 2653 | if (registry_entry->supports_post) { |
| 2654 | // v3+ function with POST support - create POST payload (even if no selections) |
| 2655 | buffer_strcat(actual_function, data.request.function); |
| 2656 | post_payload = build_post_payload_with_selections(selections, &data, registry_entry); |
| 2657 | } else if (selections) { |
| 2658 | // GET function with parameters - append to function name |
| 2659 | build_function_name_with_params(actual_function, data.request.function, selections, &data, registry_entry); |
| 2660 | } else { |
| 2661 | // No parameters needed or provided |
| 2662 | buffer_strcat(actual_function, data.request.function); |
| 2663 | } |
| 2664 | |
| 2665 | // Update the function name in data |
| 2666 | data.request.function = buffer_tostring(actual_function); |
| 2667 | |
| 2668 | // Copy pagination settings to avoid keeping registry_entry locked |
| 2669 | data.pagination.enabled = registry_entry->pagination.enabled; |
| 2670 | data.pagination.units = registry_entry->pagination.units; |
| 2671 | data.pagination.column = string_dup(registry_entry->pagination.column); |
| 2672 | |
| 2673 | // Release registry entry - we're done with it now |
| 2674 | mcp_functions_registry_release(registry_entry); |
| 2675 | registry_entry = NULL; // Prevent accidental access |
| 2676 | |
| 2677 | // Execute the function |
| 2678 | rc = mcp_function_run(&data, post_payload); |
| 2679 | if (rc != MCP_RC_OK) { |
| 2680 | mcp_functions_data_cleanup(&data); |
| 2681 | return rc; |
| 2682 | } |
| 2683 | |
| 2684 | // Process the response (all function types use table processing now) |
| 2685 | rc = mcp_functions_process_table(&data, id); |
| 2686 | |
| 2687 | // Cleanup |
| 2688 | mcp_functions_data_cleanup(&data); |
| 2689 | |
| 2690 | return rc; |
| 2691 | } |