#include "address_parser.h" #include "address_parser_io.h" #include "address_dictionary.h" #include "averaged_perceptron_trainer.h" #include "collections.h" #include "constants.h" #include "file_utils.h" #include "geodb.h" #include "normalize.h" #include "log/log.h" typedef struct address_parser_test_results { size_t num_errors; size_t num_predictions; size_t num_address_errors; size_t num_address_predictions; uint32_t *confusion; } address_parser_test_results_t; uint32_t get_class_index(address_parser_t *parser, char *name) { uint32_t i; char *str; cstring_array_foreach(parser->model->classes, i, str, { if (strcmp(name, str) == 0) { return i; } }) return parser->model->num_classes; } #define EMPTY_ADDRESS_PARSER_TEST_RESULT (address_parser_test_results_t){0, 0, 0, 0, NULL} bool address_parser_test(address_parser_t *parser, char *filename, address_parser_test_results_t *result) { if (filename == NULL) { log_error("Filename was NULL\n"); return NULL; } uint32_t num_classes = parser->model->num_classes; result->confusion = calloc(num_classes * num_classes, sizeof(uint32_t)); address_parser_data_set_t *data_set = address_parser_data_set_init(filename); if (data_set == NULL) { log_error("Error initializing data set\n"); return NULL; } address_parser_context_t *context = address_parser_context_new(); bool success = false; size_t examples = 0; bool logged = false; while (address_parser_data_set_next(data_set)) { char *language = char_array_get_string(data_set->language); if (strcmp(language, UNKNOWN_LANGUAGE) == 0 || strcmp(language, AMBIGUOUS_LANGUAGE) == 0) { language = NULL; } char *country = char_array_get_string(data_set->country); address_parser_context_fill(context, parser, data_set->tokenized_str, language, country); cstring_array *token_labels = cstring_array_new_size(data_set->tokenized_str->strings->str->n); char *prev_label = NULL; address_parser_response_t *response = NULL; size_t starting_errors = result->num_errors; if (averaged_perceptron_tagger_predict(parser->model, parser, context, context->features, token_labels, &address_parser_features, data_set->tokenized_str)) { uint32_t i; char *predicted; cstring_array_foreach(token_labels, i, predicted, { char *truth = cstring_array_get_string(data_set->labels, i); if (strcmp(predicted, truth) != 0) { result->num_errors++; uint32_t predicted_index = get_class_index(parser, predicted); uint32_t truth_index = get_class_index(parser, truth); result->confusion[predicted_index * num_classes + truth_index]++; } result->num_predictions++; }) } cstring_array_destroy(token_labels); if (result->num_errors > starting_errors) { result->num_address_errors++; } result->num_address_predictions++; if (result->num_address_predictions % 1000 == 0 && result->num_address_predictions > 0) { log_info("Did %zu examples\n", result->num_address_predictions); } tokenized_string_destroy(data_set->tokenized_str); data_set->tokenized_str = NULL; } address_parser_data_set_destroy(data_set); address_parser_context_destroy(context); return true; } int main(int argc, char **argv) { char *address_parser_dir = LIBPOSTAL_ADDRESS_PARSER_DIR; if (argc < 2) { log_error("Usage: ./address_parser_test filename [parser_dir]\n"); exit(EXIT_FAILURE); } char *filename = argv[1]; if (argc > 2) { address_parser_dir = argv[2]; } if (!address_dictionary_module_setup(NULL)) { log_error("Could not load address dictionaries\n"); exit(EXIT_FAILURE); } log_info("address dictionary module loaded\n"); if (!geodb_module_setup(NULL)) { log_error("Could not load geodb dictionaries\n"); exit(EXIT_FAILURE); } log_info("geodb module loaded\n"); if (!address_parser_load(address_parser_dir)) { log_error("Could not initialize parser\n"); exit(EXIT_FAILURE); } log_info("Finished initialization\n"); address_parser_t *parser = get_address_parser(); address_parser_test_results_t results = EMPTY_ADDRESS_PARSER_TEST_RESULT; if (!address_parser_test(parser, filename, &results)) { log_error("Error in training\n"); exit(EXIT_FAILURE); } printf("Errors: %zu / %zu (%f%%)\n", results.num_errors, results.num_predictions, (double)results.num_errors / results.num_predictions); printf("Addresses: %zu / %zu (%f%%)\n\n", results.num_address_errors, results.num_address_predictions, (double)results.num_address_errors / results.num_address_predictions); printf("Confusion matrix:\n\n"); uint32_t num_classes = parser->model->num_classes; for (uint32_t i = 0; i < num_classes; i++) { for (uint32_t j = 0; j < num_classes; j++) { if (i == j) { continue; } uint32_t class_errors = results.confusion[i * num_classes + j]; if (class_errors > 0) { char *predicted = cstring_array_get_string(parser->model->classes, i); char *truth = cstring_array_get_string(parser->model->classes, j); printf("(%s, %s): %d\n", predicted, truth, class_errors); } } } free(results.confusion); address_parser_module_teardown(); address_dictionary_module_teardown(); geodb_module_teardown(); }