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The code reachable from overzooming a tile no longer calls exit(). It reports errors by throwing tippecanoe_error, and owns its FILE * and json_pull * handles through RAII wrappers so that nothing leaks when an error unwinds the stack. New files: * errors.hpp/errors.cpp: the tippecanoe_error exception class, plus throw_tippecanoe_error() and throw_perror() helpers. * raii.hpp: unique_file and unique_json_pull, both std::unique_ptr aliases, for FILE * and json_pull *. exit() becomes throw in clip.cpp, mvt.cpp, mvt.hpp, read_json.cpp, evaluator.cpp, text.cpp, geometry.cpp, attribute.cpp, and write_json.hpp. Each tool's main() is now a try/catch around an inner_main(), so the command-line tools exit with the status they always did. Along the way this fixes a z_stream leaked when compress() failed, an exit() that could run from json_writer's destructor during unwinding, and an exit() in mvt_value's hash function. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01DuCSVGssWNUCpVEE8Yp5HT
182 lines
5.0 KiB
C++
182 lines
5.0 KiB
C++
#include <string>
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#include <unordered_map>
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#include "attribute.hpp"
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#include "errors.hpp"
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#include "serial.hpp"
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#include "jsonpull/jsonpull.h"
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#include "milo/dtoa_milo.h"
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#include "raii.hpp"
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std::map<std::string, attribute_op> numeric_operations = {
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{"sum", op_sum},
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{"min", op_min},
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{"max", op_max},
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{"count", op_count},
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};
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void set_attribute_accum(std::unordered_map<std::string, attribute_op> &attribute_accum, std::string name, std::string type) {
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attribute_op t;
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if (type == "sum") {
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t = op_sum;
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} else if (type == "product") {
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t = op_product;
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} else if (type == "mean") {
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t = op_mean;
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} else if (type == "max") {
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t = op_max;
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} else if (type == "min") {
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t = op_min;
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} else if (type == "concat") {
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t = op_concat;
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} else if (type == "comma") {
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t = op_comma;
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} else if (type == "count") {
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t = op_count;
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} else {
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throw_tippecanoe_error(EXIT_ARGS, "Attribute method (%s) must be sum, product, mean, max, min, concat, comma, or count", type.c_str());
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}
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attribute_accum.insert(std::pair<std::string, attribute_op>(name, t));
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}
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void set_attribute_accum(std::unordered_map<std::string, attribute_op> &attribute_accum, const char *arg, char **argv) {
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if (*arg == '{') {
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unique_json_pull jp(json_begin_string(arg));
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json_object *o = json_read_tree(jp.get());
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if (o == NULL) {
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throw_tippecanoe_error(EXIT_JSON, "%s: -E%s: %s", *argv, arg, jp->error);
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}
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if (o->type != JSON_HASH) {
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throw_tippecanoe_error(EXIT_JSON, "%s: -E%s: not a JSON object", *argv, arg);
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}
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for (size_t i = 0; i < o->value.object.length; i++) {
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json_object *k = o->value.object.keys[i];
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json_object *v = o->value.object.values[i];
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if (k->type != JSON_STRING) {
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throw_tippecanoe_error(EXIT_JSON, "%s: -E%s: key %zu not a string", *argv, arg, i);
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}
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if (v->type != JSON_STRING) {
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throw_tippecanoe_error(EXIT_JSON, "%s: -E%s: value %zu not a string", *argv, arg, i);
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}
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set_attribute_accum(attribute_accum, k->value.string.string, v->value.string.string);
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}
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json_free(o);
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return;
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}
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const char *s = strchr(arg, ':');
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if (s == NULL) {
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throw_tippecanoe_error(EXIT_ARGS, "-E%s option must be in the form -Ename:method", arg);
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}
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std::string name = std::string(arg, s - arg);
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std::string type = std::string(s + 1);
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set_attribute_accum(attribute_accum, name, type);
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}
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template <class T>
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static void preserve_attribute1(attribute_op const &op, std::string const &key, T const &val, std::vector<std::shared_ptr<std::string>> &full_keys, std::vector<T> &full_values, key_pool &key_pool) {
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for (size_t i = 0; i < full_keys.size(); i++) {
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if (key == *full_keys[i]) {
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switch (op) {
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case op_sum:
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full_values[i] = (full_values[i].to_double() + val.to_double());
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return;
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case op_product:
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full_values[i] = (full_values[i].to_double() * val.to_double());
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return;
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case op_max: {
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double existing = full_values[i].to_double();
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double maybe = val.to_double();
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if (maybe > existing) {
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full_values[i] = val;
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}
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return;
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}
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case op_min: {
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double existing = full_values[i].to_double();
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double maybe = val.to_double();
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if (maybe < existing) {
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full_values[i] = val;
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}
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return;
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}
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case op_mean: {
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size_t count = full_values[i].get_count();
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if (count <= 1) {
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full_values[i].set_double_count((full_values[i].to_double() + val.to_double()) / 2, 2);
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} else {
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double sum = full_values[i].to_double() * count + val.to_double();
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count++;
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full_values[i].set_double_count(sum / count, count);
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}
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return;
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}
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case op_concat:
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full_values[i].set_string_value(full_values[i].get_string_value() + val.get_string_value());
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return;
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case op_comma:
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full_values[i].set_string_value(full_values[i].get_string_value() + "," + val.get_string_value());
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return;
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case op_count: {
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size_t count = full_values[i].get_count();
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if (count <= 1) {
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full_values[i].set_double_count(2, 2);
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} else {
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full_values[i].set_double_count(count + 1, count + 1);
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}
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return;
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}
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}
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}
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}
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// not found, so we are making a new value
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T v;
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switch (op) {
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case op_sum:
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case op_max:
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case op_min:
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v = val;
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break;
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case op_count:
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v.set_double_count(1, 1);
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break;
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case op_mean:
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v.set_double_count(val.to_double(), 1);
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break;
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default:
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throw_tippecanoe_error(EXIT_IMPOSSIBLE, "can't happen: operation that isn't used by --accumulate-numeric-attributes");
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}
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full_keys.push_back(key_pool.pool(key));
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full_values.push_back(v);
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}
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void preserve_attribute(attribute_op const &op, std::string const &key, mvt_value const &val, std::vector<std::shared_ptr<std::string>> &full_keys, std::vector<mvt_value> &full_values, key_pool &key_pool) {
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preserve_attribute1(op, key, val, full_keys, full_values, key_pool);
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}
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void preserve_attribute(attribute_op const &op, std::string const &key, serial_val const &val, std::vector<std::shared_ptr<std::string>> &full_keys, std::vector<serial_val> &full_values, key_pool &key_pool) {
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preserve_attribute1(op, key, val, full_keys, full_values, key_pool);
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}
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