Files
tippecanoe/attribute.cpp
T
Erica Fischer 5b18eea673 Work in progress on binning features in overzoom (#258)
* Factoring out tilestats management from GeoJSON file reading

* Move code around so overzoom can link against parse_layers

* Read the file of bins

* Plumb the bins through to overzoom()

* Some zip code bins to test with

* (Currently non-functional) test of binning

* Starting to spell out the bin matching loop

* Can't flatten points, so don't flatten bins either

* More fleshing out bin traversal

* Bounding box of tile-relative mvt geometry

* Smallest enclosing tile from bbox

* Most of the bin scan

* Add point in polygon check. It crashes.

* Find the matching bins

* GDAL-style bounding boxes have eaten my brain

* Make some features to bin into

* Increment a count as features are found to be within the bins

* Fix longitude wraparound in overzoom bins

* Fix the tests

* Push off attribute copying until after bin assignment

* Carry sum of numeric attributes into the bins

* Also add mean, min, and max

* Add --calculate-feature-index since I keep needing it for testing

* Add an option to accumulate sum/mean/max/min/count of all numeric attrs

* Don't bake in tippecanoe:mean, since we redo it from sum and count

* Forgot to update this test fixture after removing tiled mean

* Update version and changelog
2024-09-05 12:06:51 -07:00

164 lines
4.5 KiB
C++

#include <string>
#include <unordered_map>
#include "attribute.hpp"
#include "errors.hpp"
#include "serial.hpp"
#include "jsonpull/jsonpull.h"
#include "milo/dtoa_milo.h"
void set_attribute_accum(std::unordered_map<std::string, attribute_op> &attribute_accum, std::string name, std::string type) {
attribute_op t;
if (type == "sum") {
t = op_sum;
} else if (type == "product") {
t = op_product;
} else if (type == "mean") {
t = op_mean;
} else if (type == "max") {
t = op_max;
} else if (type == "min") {
t = op_min;
} else if (type == "concat") {
t = op_concat;
} else if (type == "comma") {
t = op_comma;
} else if (type == "count") {
t = op_count;
} else {
fprintf(stderr, "Attribute method (%s) must be sum, product, mean, max, min, concat, comma, or count\n", type.c_str());
exit(EXIT_ARGS);
}
attribute_accum.insert(std::pair<std::string, attribute_op>(name, t));
}
void set_attribute_accum(std::unordered_map<std::string, attribute_op> &attribute_accum, const char *arg, char **argv) {
if (*arg == '{') {
json_pull *jp = json_begin_string(arg);
json_object *o = json_read_tree(jp);
if (o == NULL) {
fprintf(stderr, "%s: -E%s: %s\n", *argv, arg, jp->error);
exit(EXIT_JSON);
}
if (o->type != JSON_HASH) {
fprintf(stderr, "%s: -E%s: not a JSON object\n", *argv, arg);
exit(EXIT_JSON);
}
for (size_t i = 0; i < o->value.object.length; i++) {
json_object *k = o->value.object.keys[i];
json_object *v = o->value.object.values[i];
if (k->type != JSON_STRING) {
fprintf(stderr, "%s: -E%s: key %zu not a string\n", *argv, arg, i);
exit(EXIT_JSON);
}
if (v->type != JSON_STRING) {
fprintf(stderr, "%s: -E%s: value %zu not a string\n", *argv, arg, i);
exit(EXIT_JSON);
}
set_attribute_accum(attribute_accum, k->value.string.string, v->value.string.string);
}
json_free(o);
json_end(jp);
return;
}
const char *s = strchr(arg, ':');
if (s == NULL) {
fprintf(stderr, "-E%s option must be in the form -Ename:method\n", arg);
exit(EXIT_ARGS);
}
std::string name = std::string(arg, s - arg);
std::string type = std::string(s + 1);
set_attribute_accum(attribute_accum, name, type);
}
void preserve_attribute(attribute_op const &op, std::string const &key, serial_val const &val, std::vector<std::string> &full_keys, std::vector<serial_val> &full_values, std::unordered_map<std::string, accum_state> &attribute_accum_state) {
for (size_t i = 0; i < full_keys.size(); i++) {
if (key == full_keys[i]) {
switch (op) {
case op_sum:
full_values[i].s = milo::dtoa_milo(atof(full_values[i].s.c_str()) + atof(val.s.c_str()));
full_values[i].type = mvt_double;
break;
case op_product:
full_values[i].s = milo::dtoa_milo(atof(full_values[i].s.c_str()) * atof(val.s.c_str()));
full_values[i].type = mvt_double;
break;
case op_max: {
double existing = atof(full_values[i].s.c_str());
double maybe = atof(val.s.c_str());
if (maybe > existing) {
full_values[i].s = val.s.c_str();
full_values[i].type = mvt_double;
}
break;
}
case op_min: {
double existing = atof(full_values[i].s.c_str());
double maybe = atof(val.s.c_str());
if (maybe < existing) {
full_values[i].s = val.s.c_str();
full_values[i].type = mvt_double;
}
break;
}
case op_mean: {
auto state = attribute_accum_state.find(key);
if (state == attribute_accum_state.end()) {
accum_state s;
s.sum = atof(full_values[i].s.c_str()) + atof(val.s.c_str());
s.count = 2;
attribute_accum_state.insert(std::pair<std::string, accum_state>(key, s));
full_values[i].s = milo::dtoa_milo(s.sum / s.count);
} else {
state->second.sum += atof(val.s.c_str());
state->second.count += 1;
full_values[i].s = milo::dtoa_milo(state->second.sum / state->second.count);
}
break;
}
case op_concat:
full_values[i].s += val.s;
full_values[i].type = mvt_string;
break;
case op_comma:
full_values[i].s += std::string(",") + val.s;
full_values[i].type = mvt_string;
break;
case op_count: {
auto state = attribute_accum_state.find(key);
if (state == attribute_accum_state.end()) { // not already present
accum_state s;
s.count = 2;
attribute_accum_state.insert(std::pair<std::string, accum_state>(key, s));
full_values[i].s = std::to_string(s.count);
} else { // already present, incrementing
state->second.count += 1;
full_values[i].s = std::to_string(state->second.count);
}
break;
}
}
}
}
}