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Add --accumulate-attribute to tippecanoe-overzoom (#189)

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* Starting to factor out attribute accumulation into its own file

* Continuing to factor out attribute accumulation

* Reduce duplicate code

* Plumbing the accumulate-attribute option around

* Call the attribute accumulator

* Test that accumulation works

* Add missing #includes

* Don't sort within individual multiplier clusters

Doing so throws off the spatial distribution of the low zooms

* Docs and changelog

* Add comments
This commit is contained in:
Erica Fischer
2024-01-23 15:41:36 -08:00
committed by GitHub
parent f957f30f90
commit cbf222754b
17 changed files with 493 additions and 431 deletions
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CHANGELOG.md
+5
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@@ -1,3 +1,8 @@
# 2.41.2
* Add --accumulate-attribute to tippecanoe-overzoom
* Go back to ordering features within each multiplier cluster spatially, not in the order specified for tile feature order
# 2.41.1
* Make --preserve-input-order, --order-by, --order-descending-by, --order-smallest-first, and --order-largest-first cooperate with --retain-points-multiplier. The clusters will be ordered by their lead feature in the specified sequence. The other features in each cluster will continue to be physically near the lead feature, but ordered as specified within the cluster.
Makefile
+8 -3
View File
@@ -58,7 +58,7 @@ C = $(wildcard *.c) $(wildcard *.cpp)
INCLUDES = -I/usr/local/include -I.
LIBS = -L/usr/local/lib
tippecanoe: geojson.o jsonpull/jsonpull.o tile.o pool.o mbtiles.o geometry.o projection.o memfile.o mvt.o serial.o main.o text.o dirtiles.o pmtiles_file.o plugin.o read_json.o write_json.o geobuf.o flatgeobuf.o evaluator.o geocsv.o csv.o geojson-loop.o json_logger.o visvalingam.o compression.o clip.o sort.o
tippecanoe: geojson.o jsonpull/jsonpull.o tile.o pool.o mbtiles.o geometry.o projection.o memfile.o mvt.o serial.o main.o text.o dirtiles.o pmtiles_file.o plugin.o read_json.o write_json.o geobuf.o flatgeobuf.o evaluator.o geocsv.o csv.o geojson-loop.o json_logger.o visvalingam.o compression.o clip.o sort.o attribute.o
$(CXX) $(PG) $(LIBS) $(FINAL_FLAGS) $(CXXFLAGS) -o $@ $^ $(LDFLAGS) -lm -lz -lsqlite3 -lpthread
tippecanoe-enumerate: enumerate.o
@@ -67,7 +67,7 @@ tippecanoe-enumerate: enumerate.o
tippecanoe-decode: decode.o projection.o mvt.o write_json.o text.o jsonpull/jsonpull.o dirtiles.o pmtiles_file.o
$(CXX) $(PG) $(LIBS) $(FINAL_FLAGS) $(CXXFLAGS) -o $@ $^ $(LDFLAGS) -lm -lz -lsqlite3
tile-join: tile-join.o projection.o mbtiles.o mvt.o memfile.o dirtiles.o jsonpull/jsonpull.o text.o evaluator.o csv.o write_json.o pmtiles_file.o clip.o
tile-join: tile-join.o projection.o mbtiles.o mvt.o memfile.o dirtiles.o jsonpull/jsonpull.o text.o evaluator.o csv.o write_json.o pmtiles_file.o clip.o attribute.o
$(CXX) $(PG) $(LIBS) $(FINAL_FLAGS) $(CXXFLAGS) -o $@ $^ $(LDFLAGS) -lm -lz -lsqlite3 -lpthread
tippecanoe-json-tool: jsontool.o jsonpull/jsonpull.o csv.o text.o geojson-loop.o
@@ -76,7 +76,7 @@ tippecanoe-json-tool: jsontool.o jsonpull/jsonpull.o csv.o text.o geojson-loop.o
unit: unit.o text.o sort.o mvt.o
$(CXX) $(PG) $(LIBS) $(FINAL_FLAGS) $(CXXFLAGS) -o $@ $^ $(LDFLAGS) -lm -lz -lsqlite3 -lpthread
tippecanoe-overzoom: overzoom.o mvt.o clip.o evaluator.o jsonpull/jsonpull.o text.o
tippecanoe-overzoom: overzoom.o mvt.o clip.o evaluator.o jsonpull/jsonpull.o text.o attribute.o
$(CXX) $(PG) $(LIBS) $(FINAL_FLAGS) $(CXXFLAGS) -o $@ $^ $(LDFLAGS) -lm -lz -lsqlite3 -lpthread
-include $(wildcard *.d)
@@ -296,6 +296,11 @@ overzoom-test: tippecanoe-overzoom
./tippecanoe-decode tests/pbf/0-0-0-pop-filtered.pbf 0 0 0 > tests/pbf/0-0-0-pop-filtered.pbf.json.check
cmp tests/pbf/0-0-0-pop-filtered.pbf.json.check tests/pbf/0-0-0-pop-filtered.pbf.json
rm tests/pbf/0-0-0-pop-filtered.pbf tests/pbf/0-0-0-pop-filtered.pbf.json.check
# Thinning with accumulation
./tippecanoe-overzoom -y NAME -m --accumulate-attribute NAME:comma -o tests/pbf/0-0-0-pop-accum.pbf tests/pbf/0-0-0-pop.pbf 0/0/0 0/0/0
./tippecanoe-decode tests/pbf/0-0-0-pop-accum.pbf 0 0 0 > tests/pbf/0-0-0-pop-accum.pbf.json.check
cmp tests/pbf/0-0-0-pop-accum.pbf.json.check tests/pbf/0-0-0-pop-accum.pbf.json
rm tests/pbf/0-0-0-pop-accum.pbf tests/pbf/0-0-0-pop-accum.pbf.json.check
# Filtering
# 243 features in the source tile tests/pbf/0-0-0-pop.pbf
# 27 of them match the filter and are retained
README.md
+1
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@@ -997,3 +997,4 @@ reads tile `inz/inx/iny` of `in.mvt.gz` and produces tile `outz/outx/outy` of `o
* `-j` *filter*: Filter features using the same expression syntax as in tippecanoe.
* `-m`: If a tile was created with the `--retain-points-multiplier` option, thin the tile back down to its normal feature count during overzooming. The first feature from each cluster will be retained, unless `-j` is used to specify a filter, in which case the first matching filter from each cluster will be retained instead.
* `--preserve-input-order`: Restore a set of filtered features to its original input order
* `--accumulate-attribute`: Behaves as in `tippecanoe` to sum attributes from the features of a multiplier cluster that are not included in the final output. The attributes from features that are filtered away with `-j` are *not* accumulated onto the output feature.
attribute.cpp
+146
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@@ -0,0 +1,146 @@
#include <string>
#include <map>
#include "attribute.hpp"
#include "errors.hpp"
#include "serial.hpp"
#include "jsonpull/jsonpull.h"
#include "milo/dtoa_milo.h"
void set_attribute_accum(std::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 {
fprintf(stderr, "Attribute method (%s) must be sum, product, mean, max, min, concat, or comma\n", type.c_str());
exit(EXIT_ARGS);
}
attribute_accum.insert(std::pair<std::string, attribute_op>(name, t));
}
void set_attribute_accum(std::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 op, std::string &key, serial_val &val, std::vector<std::string> &full_keys, std::vector<serial_val> &full_values, std::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;
}
}
}
}
attribute.hpp
+28
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@@ -0,0 +1,28 @@
#ifndef ATTRIBUTE_HPP
#define ATTRIBUTE_HPP
#include <vector>
#include <map>
enum attribute_op {
op_sum,
op_product,
op_mean,
op_concat,
op_comma,
op_max,
op_min,
};
struct accum_state {
double sum = 0;
double count = 0;
};
struct serial_val;
void set_attribute_accum(std::map<std::string, attribute_op> &attribute_accum, std::string name, std::string type);
void set_attribute_accum(std::map<std::string, attribute_op> &attribute_accum, const char *arg, char **argv);
void preserve_attribute(attribute_op op, std::string &key, serial_val &val, std::vector<std::string> &full_keys, std::vector<serial_val> &full_values, std::map<std::string, accum_state> &attribute_accum_state);
#endif
clip.cpp
+57 -15
View File
@@ -9,6 +9,7 @@
#include "mvt.hpp"
#include "evaluator.hpp"
#include "serial.hpp"
#include "attribute.hpp"
static std::vector<std::pair<double, double>> clip_poly1(std::vector<std::pair<double, double>> &geom,
long long minx, long long miny, long long maxx, long long maxy,
@@ -757,7 +758,7 @@ static std::vector<std::pair<double, double>> clip_poly1(std::vector<std::pair<d
std::string overzoom(std::string s, int oz, int ox, int oy, int nz, int nx, int ny,
int detail, int buffer, std::set<std::string> const &keep, bool do_compress,
std::vector<std::pair<unsigned, unsigned>> *next_overzoomed_tiles,
bool demultiply, json_object *filter, bool preserve_input_order) {
bool demultiply, json_object *filter, bool preserve_input_order, std::map<std::string, attribute_op> const &attribute_accum) {
mvt_tile tile;
try {
@@ -771,7 +772,7 @@ std::string overzoom(std::string s, int oz, int ox, int oy, int nz, int nx, int
exit(EXIT_PROTOBUF);
}
return overzoom(tile, oz, ox, oy, nz, nx, ny, detail, buffer, keep, do_compress, next_overzoomed_tiles, demultiply, filter, preserve_input_order);
return overzoom(tile, oz, ox, oy, nz, nx, ny, detail, buffer, keep, do_compress, next_overzoomed_tiles, demultiply, filter, preserve_input_order, attribute_accum);
}
struct tile_feature {
@@ -784,28 +785,69 @@ struct tile_feature {
size_t seq = 0;
};
void feature_out(tile_feature const &feature, mvt_layer &outlayer, std::set<std::string> const &keep) {
static void feature_out(std::vector<tile_feature> const &features, mvt_layer &outlayer, std::set<std::string> const &keep, std::map<std::string, attribute_op> const &attribute_accum) {
// Add geometry to output feature
mvt_feature outfeature;
outfeature.type = feature.t;
for (auto const &g : feature.geom) {
outfeature.type = features[0].t;
for (auto const &g : features[0].geom) {
outfeature.geometry.emplace_back(g.op, g.x, g.y);
}
// ID and attributes, if it didn't get clipped away
if (outfeature.geometry.size() > 0) {
if (feature.has_id) {
if (features[0].has_id) {
outfeature.has_id = true;
outfeature.id = feature.id;
outfeature.id = features[0].id;
}
outfeature.seq = feature.seq;
outfeature.seq = features[0].seq;
for (size_t i = 0; i + 1 < feature.tags.size(); i += 2) {
if (keep.size() == 0 || keep.find(feature.layer->keys[feature.tags[i]]) != keep.end()) {
outlayer.tag(outfeature, feature.layer->keys[feature.tags[i]], feature.layer->values[feature.tags[i + 1]]);
if (attribute_accum.size() > 0) {
// convert the attributes of the output feature
// from mvt_value to serial_val so they can have
// attributes from the other features of the
// multiplier cluster accumulated onto them
std::map<std::string, accum_state> attribute_accum_state;
std::vector<std::string> full_keys;
std::vector<serial_val> full_values;
for (size_t i = 0; i + 1 < features[0].tags.size(); i += 2) {
full_keys.push_back(features[0].layer->keys[features[0].tags[i]]);
full_values.push_back(mvt_value_to_serial_val(features[0].layer->values[features[0].tags[i + 1]]));
}
// accumulate whatever attributes are specified to be accumulated
// onto the feature that will survive into the output, from the
// features that will not
for (size_t i = 1; i < features.size(); i++) {
for (size_t j = 0; j + 1 < features[i].tags.size(); j += 2) {
std::string key = features[i].layer->keys[features[i].tags[j]];
auto f = attribute_accum.find(key);
if (f != attribute_accum.end()) {
serial_val val = mvt_value_to_serial_val(features[i].layer->values[features[i].tags[j + 1]]);
preserve_attribute(f->second, key, val, full_keys, full_values, attribute_accum_state);
}
}
}
// convert the final attributes back to mvt_value
// and tag them onto the output feature
for (size_t i = 0; i < full_keys.size(); i++) {
if (keep.size() == 0 || keep.find(full_keys[i]) != keep.end()) {
outlayer.tag(outfeature, full_keys[i], stringified_to_mvt_value(full_values[i].type, full_values[i].s.c_str()));
}
}
} else {
for (size_t i = 0; i + 1 < features[0].tags.size(); i += 2) {
if (keep.size() == 0 || keep.find(features[0].layer->keys[features[0].tags[i]]) != keep.end()) {
outlayer.tag(outfeature, features[0].layer->keys[features[0].tags[i]], features[0].layer->values[features[0].tags[i + 1]]);
}
}
}
@@ -822,7 +864,7 @@ static struct preservecmp {
std::string overzoom(mvt_tile tile, int oz, int ox, int oy, int nz, int nx, int ny,
int detail, int buffer, std::set<std::string> const &keep, bool do_compress,
std::vector<std::pair<unsigned, unsigned>> *next_overzoomed_tiles,
bool demultiply, json_object *filter, bool preserve_input_order) {
bool demultiply, json_object *filter, bool preserve_input_order, std::map<std::string, attribute_op> const &attribute_accum) {
mvt_tile outtile;
for (auto const &layer : tile.layers) {
@@ -863,7 +905,7 @@ std::string overzoom(mvt_tile tile, int oz, int ox, int oy, int nz, int nx, int
if (flush_multiplier_cluster) {
if (pending_tile_features.size() > 0) {
feature_out(pending_tile_features[0], outlayer, keep);
feature_out(pending_tile_features, outlayer, keep, attribute_accum);
pending_tile_features.clear();
}
}
@@ -958,7 +1000,7 @@ std::string overzoom(mvt_tile tile, int oz, int ox, int oy, int nz, int nx, int
}
if (pending_tile_features.size() > 0) {
feature_out(pending_tile_features[0], outlayer, keep);
feature_out(pending_tile_features, outlayer, keep, attribute_accum);
pending_tile_features.clear();
}
@@ -985,7 +1027,7 @@ std::string overzoom(mvt_tile tile, int oz, int ox, int oy, int nz, int nx, int
std::string child = overzoom(outtile, nz, nx, ny,
nz + 1, nx * 2 + x, ny * 2 + y,
detail, buffer, keep, false, NULL,
demultiply, filter, preserve_input_order);
demultiply, filter, preserve_input_order, attribute_accum);
if (child.size() > 0) {
next_overzoomed_tiles->emplace_back(nx * 2 + x, ny * 2 + y);
}
geometry.hpp
+5 -2
View File
@@ -9,6 +9,7 @@
#include <stdio.h>
#include <mvt.hpp>
#include "jsonpull/jsonpull.h"
#include "attribute.hpp"
#define VT_POINT 1
#define VT_LINE 2
@@ -102,11 +103,13 @@ double distance_from_line(long long point_x, long long point_y, long long segA_x
std::string overzoom(mvt_tile tile, int oz, int ox, int oy, int nz, int nx, int ny,
int detail, int buffer, std::set<std::string> const &keep, bool do_compress,
std::vector<std::pair<unsigned, unsigned>> *next_overzoomed_tiles,
bool demultiply, json_object *filter, bool preserve_input_order);
bool demultiply, json_object *filter, bool preserve_input_order,
std::map<std::string, attribute_op> const &attribute_accum);
std::string overzoom(std::string s, int oz, int ox, int oy, int nz, int nx, int ny,
int detail, int buffer, std::set<std::string> const &keep, bool do_compress,
std::vector<std::pair<unsigned, unsigned>> *next_overzoomed_tiles,
bool demultiply, json_object *filter, bool preserve_input_order);
bool demultiply, json_object *filter, bool preserve_input_order,
std::map<std::string, attribute_op> const &attribute_accum);
#endif
main.cpp
+2 -74
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@@ -66,6 +66,7 @@
#include "errors.hpp"
#include "read_json.hpp"
#include "sort.hpp"
#include "attribute.hpp"
static int low_detail = 12;
static int full_detail = -1;
@@ -2871,79 +2872,6 @@ void set_attribute_type(std::map<std::string, int> &attribute_types, const char
attribute_types.insert(std::pair<std::string, int>(name, t));
}
void set_attribute_accum(std::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 {
fprintf(stderr, "Attribute method (%s) must be sum, product, mean, max, min, concat, or comma\n", type.c_str());
exit(EXIT_ARGS);
}
attribute_accum.insert(std::pair<std::string, attribute_op>(name, t));
}
void set_attribute_accum(std::map<std::string, attribute_op> &attribute_accum, const char *arg) {
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", *av, arg, jp->error);
exit(EXIT_JSON);
}
if (o->type != JSON_HASH) {
fprintf(stderr, "%s: -E%s: not a JSON object\n", *av, 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", *av, arg, i);
exit(EXIT_JSON);
}
if (v->type != JSON_STRING) {
fprintf(stderr, "%s: -E%s: value %zu not a string\n", *av, 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 set_attribute_value(const char *arg) {
if (*arg == '{') {
json_pull *jp = json_begin_string(arg);
@@ -3694,7 +3622,7 @@ int main(int argc, char **argv) {
break;
case 'E':
set_attribute_accum(attribute_accum, optarg);
set_attribute_accum(attribute_accum, optarg, argv);
break;
default: {
man/tippecanoe.1
+2
View File
@@ -1268,4 +1268,6 @@ reads tile \fB\fCinz/inx/iny\fR of \fB\fCin.mvt.gz\fR and produces tile \fB\fCou
\fB\fC\-m\fR: If a tile was created with the \fB\fC\-\-retain\-points\-multiplier\fR option, thin the tile back down to its normal feature count during overzooming. The first feature from each cluster will be retained, unless \fB\fC\-j\fR is used to specify a filter, in which case the first matching filter from each cluster will be retained instead.
.IP \(bu 2
\fB\fC\-\-preserve\-input\-order\fR: Restore a set of filtered features to its original input order
.IP \(bu 2
\fB\fC\-\-accumulate\-attribute\fR: Behaves as in \fB\fCtippecanoe\fR to sum attributes from the features of a multiplier cluster that are not included in the final output. The attributes from features that are filtered away with \fB\fC\-j\fR are \fInot\fP accumulated onto the output feature.
.RE
overzoom.cpp
+8 -1
View File
@@ -7,6 +7,7 @@
#include "mvt.hpp"
#include "geometry.hpp"
#include "evaluator.hpp"
#include "attribute.hpp"
extern char *optarg;
extern int optind;
@@ -16,6 +17,7 @@ int buffer = 5; // tippecanoe-style: mvt buffer == extent * buffer / 256;
bool demultiply = false;
std::string filter;
bool preserve_input_order = false;
std::map<std::string, attribute_op> attribute_accum;
std::set<std::string> keep;
@@ -37,6 +39,7 @@ int main(int argc, char **argv) {
{"filter-points-multiplier", no_argument, 0, 'm'},
{"feature-filter", required_argument, 0, 'j'},
{"preserve-input-order", no_argument, 0, 'o' & 0x1F},
{"accumulate-attribute", required_argument, 0, 'E'},
{0, 0, 0, 0},
};
@@ -83,6 +86,10 @@ int main(int argc, char **argv) {
preserve_input_order = true;
break;
case 'E':
set_attribute_accum(attribute_accum, optarg, argv);
break;
default:
fprintf(stderr, "Unrecognized flag -%c\n", i);
usage(argv);
@@ -137,7 +144,7 @@ int main(int argc, char **argv) {
json_filter = parse_filter(filter.c_str());
}
std::string out = overzoom(tile, oz, ox, oy, nz, nx, ny, detail, buffer, keep, true, NULL, demultiply, json_filter, preserve_input_order);
std::string out = overzoom(tile, oz, ox, oy, nz, nx, ny, detail, buffer, keep, true, NULL, demultiply, json_filter, preserve_input_order, attribute_accum);
fwrite(out.c_str(), sizeof(char), out.size(), f);
fclose(f);
tests/ne_110m_populated_places/out/-z0_-r2_-B3_-yNAME_--retain-points-multiplier_3_--order-by_NAME.json
+95 -95
View File
@@ -16,41 +16,17 @@
}, "features": [
{ "type": "FeatureCollection", "properties": { "zoom": 0, "x": 0, "y": 0 }, "features": [
{ "type": "FeatureCollection", "properties": { "layer": "in", "version": 2, "extent": 4096 }, "features": [
{ "type": "Feature", "properties": { "NAME": "Andorra", "tippecanoe:retain_points_multiplier_sequence": 4, "tippecanoe:retain_points_multiplier_first": true }, "geometry": { "type": "Point", "coordinates": [ 1.494141, 42.488302 ] } }
,
{ "type": "Feature", "properties": { "NAME": "Luxembourg", "tippecanoe:retain_points_multiplier_sequence": 0 }, "geometry": { "type": "Point", "coordinates": [ 6.152344, 49.610710 ] } }
,
{ "type": "Feature", "properties": { "NAME": "Paris", "tippecanoe:retain_points_multiplier_sequence": 89 }, "geometry": { "type": "Point", "coordinates": [ 2.373047, 48.864715 ] } }
,
{ "type": "Feature", "properties": { "NAME": "Astana", "tippecanoe:retain_points_multiplier_sequence": 41, "tippecanoe:retain_points_multiplier_first": true }, "geometry": { "type": "Point", "coordinates": [ 71.455078, 51.179343 ] } }
,
{ "type": "Feature", "properties": { "NAME": "Bishkek", "tippecanoe:retain_points_multiplier_sequence": 29 }, "geometry": { "type": "Point", "coordinates": [ 74.619141, 42.875964 ] } }
,
{ "type": "Feature", "properties": { "NAME": "Tashkent", "tippecanoe:retain_points_multiplier_sequence": 67 }, "geometry": { "type": "Point", "coordinates": [ 69.257812, 41.310824 ] } }
,
{ "type": "Feature", "properties": { "NAME": "Auckland", "tippecanoe:retain_points_multiplier_sequence": 71, "tippecanoe:retain_points_multiplier_first": true }, "geometry": { "type": "MultiPoint", "coordinates": [ [ 174.726562, -36.879621 ], [ -185.273438, -36.879621 ] ] } }
,
{ "type": "Feature", "properties": { "NAME": "Funafuti", "tippecanoe:retain_points_multiplier_sequence": 1 }, "geometry": { "type": "MultiPoint", "coordinates": [ [ 179.208984, -8.494105 ], [ -180.791016, -8.494105 ] ] } }
,
{ "type": "Feature", "properties": { "NAME": "Suva", "tippecanoe:retain_points_multiplier_sequence": 37 }, "geometry": { "type": "MultiPoint", "coordinates": [ [ 178.417969, -18.145852 ], [ -181.582031, -18.145852 ] ] } }
{ "type": "Feature", "properties": { "NAME": "Bishkek", "tippecanoe:retain_points_multiplier_sequence": 29 }, "geometry": { "type": "Point", "coordinates": [ 74.619141, 42.875964 ] } }
,
{ "type": "Feature", "properties": { "NAME": "Bangkok", "tippecanoe:retain_points_multiplier_sequence": 68, "tippecanoe:retain_points_multiplier_first": true }, "geometry": { "type": "Point", "coordinates": [ 100.546875, 13.752725 ] } }
,
{ "type": "Feature", "properties": { "NAME": "Hanoi", "tippecanoe:retain_points_multiplier_sequence": 51 }, "geometry": { "type": "Point", "coordinates": [ 105.820312, 21.043491 ] } }
,
{ "type": "Feature", "properties": { "NAME": "Vientiane", "tippecanoe:retain_points_multiplier_sequence": 42 }, "geometry": { "type": "Point", "coordinates": [ 102.568359, 17.978733 ] } }
,
{ "type": "Feature", "properties": { "NAME": "Beirut", "tippecanoe:retain_points_multiplier_sequence": 40, "tippecanoe:retain_points_multiplier_first": true }, "geometry": { "type": "Point", "coordinates": [ 35.507812, 33.870416 ] } }
,
{ "type": "Feature", "properties": { "NAME": "Cairo", "tippecanoe:retain_points_multiplier_sequence": 87 }, "geometry": { "type": "Point", "coordinates": [ 31.289062, 30.069094 ] } }
,
{ "type": "Feature", "properties": { "NAME": "Tel Aviv-Yafo", "tippecanoe:retain_points_multiplier_sequence": 61 }, "geometry": { "type": "Point", "coordinates": [ 34.804688, 32.101190 ] } }
,
{ "type": "Feature", "properties": { "NAME": "Belmopan", "tippecanoe:retain_points_multiplier_sequence": 44, "tippecanoe:retain_points_multiplier_first": true }, "geometry": { "type": "Point", "coordinates": [ -88.769531, 17.224758 ] } }
,
{ "type": "Feature", "properties": { "NAME": "Nassau", "tippecanoe:retain_points_multiplier_sequence": 50 }, "geometry": { "type": "Point", "coordinates": [ -77.343750, 25.085599 ] } }
,
{ "type": "Feature", "properties": { "NAME": "New York", "tippecanoe:retain_points_multiplier_sequence": 81 }, "geometry": { "type": "Point", "coordinates": [ -74.003906, 40.780541 ] } }
{ "type": "Feature", "properties": { "NAME": "Hanoi", "tippecanoe:retain_points_multiplier_sequence": 51 }, "geometry": { "type": "Point", "coordinates": [ 105.820312, 21.043491 ] } }
,
{ "type": "Feature", "properties": { "NAME": "Berlin", "tippecanoe:retain_points_multiplier_sequence": 72, "tippecanoe:retain_points_multiplier_first": true }, "geometry": { "type": "Point", "coordinates": [ 13.359375, 52.536273 ] } }
,
@@ -64,53 +40,17 @@
,
{ "type": "Feature", "properties": { "NAME": "Nouakchott", "tippecanoe:retain_points_multiplier_sequence": 39 }, "geometry": { "type": "Point", "coordinates": [ -15.996094, 18.062312 ] } }
,
{ "type": "Feature", "properties": { "NAME": "Bratislava", "tippecanoe:retain_points_multiplier_sequence": 7, "tippecanoe:retain_points_multiplier_first": true }, "geometry": { "type": "Point", "coordinates": [ 17.138672, 48.166085 ] } }
,
{ "type": "Feature", "properties": { "NAME": "Budapest", "tippecanoe:retain_points_multiplier_sequence": 52 }, "geometry": { "type": "Point", "coordinates": [ 19.072266, 47.517201 ] } }
,
{ "type": "Feature", "properties": { "NAME": "Rome", "tippecanoe:retain_points_multiplier_sequence": 84 }, "geometry": { "type": "Point", "coordinates": [ 12.480469, 41.902277 ] } }
,
{ "type": "Feature", "properties": { "NAME": "Bridgetown", "tippecanoe:retain_points_multiplier_sequence": 13, "tippecanoe:retain_points_multiplier_first": true }, "geometry": { "type": "Point", "coordinates": [ -59.589844, 13.068777 ] } }
,
{ "type": "Feature", "properties": { "NAME": "Kingstown", "tippecanoe:retain_points_multiplier_sequence": 14 }, "geometry": { "type": "Point", "coordinates": [ -61.171875, 13.154376 ] } }
,
{ "type": "Feature", "properties": { "NAME": "Saint George's", "tippecanoe:retain_points_multiplier_sequence": 15 }, "geometry": { "type": "Point", "coordinates": [ -61.699219, 12.039321 ] } }
,
{ "type": "Feature", "properties": { "NAME": "Bucharest", "tippecanoe:retain_points_multiplier_sequence": 53, "tippecanoe:retain_points_multiplier_first": true }, "geometry": { "type": "Point", "coordinates": [ 26.103516, 44.465151 ] } }
,
{ "type": "Feature", "properties": { "NAME": "Chisinau", "tippecanoe:retain_points_multiplier_sequence": 26 }, "geometry": { "type": "Point", "coordinates": [ 28.828125, 46.980252 ] } }
,
{ "type": "Feature", "properties": { "NAME": "Istanbul", "tippecanoe:retain_points_multiplier_sequence": 83 }, "geometry": { "type": "Point", "coordinates": [ 29.003906, 41.112469 ] } }
,
{ "type": "Feature", "properties": { "NAME": "Chicago", "tippecanoe:retain_points_multiplier_sequence": 65, "tippecanoe:retain_points_multiplier_first": true }, "geometry": { "type": "Point", "coordinates": [ -87.714844, 41.836828 ] } }
{ "type": "Feature", "properties": { "NAME": "Cairo", "tippecanoe:retain_points_multiplier_sequence": 87, "tippecanoe:retain_points_multiplier_first": true }, "geometry": { "type": "Point", "coordinates": [ 31.289062, 30.069094 ] } }
,
{ "type": "Feature", "properties": { "NAME": "Guatemala", "tippecanoe:retain_points_multiplier_sequence": 35 }, "geometry": { "type": "Point", "coordinates": [ -90.527344, 14.604847 ] } }
{ "type": "Feature", "properties": { "NAME": "Tel Aviv-Yafo", "tippecanoe:retain_points_multiplier_sequence": 61 }, "geometry": { "type": "Point", "coordinates": [ 34.804688, 32.101190 ] } }
,
{ "type": "Feature", "properties": { "NAME": "Toronto", "tippecanoe:retain_points_multiplier_sequence": 77 }, "geometry": { "type": "Point", "coordinates": [ -79.453125, 43.707594 ] } }
,
{ "type": "Feature", "properties": { "NAME": "Colombo", "tippecanoe:retain_points_multiplier_sequence": 27, "tippecanoe:retain_points_multiplier_first": true }, "geometry": { "type": "Point", "coordinates": [ 79.892578, 6.926427 ] } }
,
{ "type": "Feature", "properties": { "NAME": "Male", "tippecanoe:retain_points_multiplier_sequence": 48 }, "geometry": { "type": "Point", "coordinates": [ 73.476562, 4.127285 ] } }
,
{ "type": "Feature", "properties": { "NAME": "Sri Jawewardenepura Kotte", "tippecanoe:retain_points_multiplier_sequence": 9 }, "geometry": { "type": "Point", "coordinates": [ 79.980469, 6.926427 ] } }
,
{ "type": "Feature", "properties": { "NAME": "Dar es Salaam", "tippecanoe:retain_points_multiplier_sequence": 56, "tippecanoe:retain_points_multiplier_first": true }, "geometry": { "type": "Point", "coordinates": [ 39.287109, -6.839170 ] } }
,
{ "type": "Feature", "properties": { "NAME": "Dodoma", "tippecanoe:retain_points_multiplier_sequence": 10 }, "geometry": { "type": "Point", "coordinates": [ 35.771484, -6.140555 ] } }
,
{ "type": "Feature", "properties": { "NAME": "Nairobi", "tippecanoe:retain_points_multiplier_sequence": 85 }, "geometry": { "type": "Point", "coordinates": [ 36.826172, -1.318243 ] } }
,
{ "type": "Feature", "properties": { "NAME": "Dili", "tippecanoe:retain_points_multiplier_sequence": 19, "tippecanoe:retain_points_multiplier_first": true }, "geometry": { "type": "Point", "coordinates": [ 125.595703, -8.581021 ] } }
,
{ "type": "Feature", "properties": { "NAME": "Jakarta", "tippecanoe:retain_points_multiplier_sequence": 86 }, "geometry": { "type": "Point", "coordinates": [ 106.787109, -6.140555 ] } }
,
{ "type": "Feature", "properties": { "NAME": "Port Moresby", "tippecanoe:retain_points_multiplier_sequence": 25 }, "geometry": { "type": "Point", "coordinates": [ 147.216797, -9.449062 ] } }
,
{ "type": "Feature", "properties": { "NAME": "Doha", "tippecanoe:retain_points_multiplier_sequence": 8, "tippecanoe:retain_points_multiplier_first": true }, "geometry": { "type": "Point", "coordinates": [ 51.503906, 25.324167 ] } }
,
{ "type": "Feature", "properties": { "NAME": "Dubai", "tippecanoe:retain_points_multiplier_sequence": 66 }, "geometry": { "type": "Point", "coordinates": [ 55.283203, 25.244696 ] } }
,
{ "type": "Feature", "properties": { "NAME": "Manama", "tippecanoe:retain_points_multiplier_sequence": 16 }, "geometry": { "type": "Point", "coordinates": [ 50.625000, 26.273714 ] } }
{ "type": "Feature", "properties": { "NAME": "Beirut", "tippecanoe:retain_points_multiplier_sequence": 40 }, "geometry": { "type": "Point", "coordinates": [ 35.507812, 33.870416 ] } }
,
{ "type": "Feature", "properties": { "NAME": "Dublin", "tippecanoe:retain_points_multiplier_sequence": 57, "tippecanoe:retain_points_multiplier_first": true }, "geometry": { "type": "Point", "coordinates": [ -6.240234, 53.330873 ] } }
,
@@ -118,11 +58,17 @@
,
{ "type": "Feature", "properties": { "NAME": "Praia", "tippecanoe:retain_points_multiplier_sequence": 49 }, "geometry": { "type": "Point", "coordinates": [ -23.554688, 14.944785 ] } }
,
{ "type": "Feature", "properties": { "NAME": "Helsinki", "tippecanoe:retain_points_multiplier_sequence": 62, "tippecanoe:retain_points_multiplier_first": true }, "geometry": { "type": "Point", "coordinates": [ 24.960938, 60.196156 ] } }
{ "type": "Feature", "properties": { "NAME": "Funafuti", "tippecanoe:retain_points_multiplier_sequence": 1, "tippecanoe:retain_points_multiplier_first": true }, "geometry": { "type": "MultiPoint", "coordinates": [ [ 179.208984, -8.494105 ], [ -180.791016, -8.494105 ] ] } }
,
{ "type": "Feature", "properties": { "NAME": "Skopje", "tippecanoe:retain_points_multiplier_sequence": 12 }, "geometry": { "type": "Point", "coordinates": [ 21.445312, 41.967659 ] } }
{ "type": "Feature", "properties": { "NAME": "Suva", "tippecanoe:retain_points_multiplier_sequence": 37 }, "geometry": { "type": "MultiPoint", "coordinates": [ [ 178.417969, -18.145852 ], [ -181.582031, -18.145852 ] ] } }
,
{ "type": "Feature", "properties": { "NAME": "Tallinn", "tippecanoe:retain_points_multiplier_sequence": 34 }, "geometry": { "type": "Point", "coordinates": [ 24.697266, 59.445075 ] } }
{ "type": "Feature", "properties": { "NAME": "Auckland", "tippecanoe:retain_points_multiplier_sequence": 71 }, "geometry": { "type": "MultiPoint", "coordinates": [ [ 174.726562, -36.879621 ], [ -185.273438, -36.879621 ] ] } }
,
{ "type": "Feature", "properties": { "NAME": "Guatemala", "tippecanoe:retain_points_multiplier_sequence": 35, "tippecanoe:retain_points_multiplier_first": true }, "geometry": { "type": "Point", "coordinates": [ -90.527344, 14.604847 ] } }
,
{ "type": "Feature", "properties": { "NAME": "Chicago", "tippecanoe:retain_points_multiplier_sequence": 65 }, "geometry": { "type": "Point", "coordinates": [ -87.714844, 41.836828 ] } }
,
{ "type": "Feature", "properties": { "NAME": "Toronto", "tippecanoe:retain_points_multiplier_sequence": 77 }, "geometry": { "type": "Point", "coordinates": [ -79.453125, 43.707594 ] } }
,
{ "type": "Feature", "properties": { "NAME": "Hong Kong", "tippecanoe:retain_points_multiplier_sequence": 92, "tippecanoe:retain_points_multiplier_first": true }, "geometry": { "type": "Point", "coordinates": [ 114.169922, 22.268764 ] } }
,
@@ -130,77 +76,131 @@
,
{ "type": "Feature", "properties": { "NAME": "Taipei", "tippecanoe:retain_points_multiplier_sequence": 79 }, "geometry": { "type": "Point", "coordinates": [ 121.552734, 25.005973 ] } }
,
{ "type": "Feature", "properties": { "NAME": "Islamabad", "tippecanoe:retain_points_multiplier_sequence": 23, "tippecanoe:retain_points_multiplier_first": true }, "geometry": { "type": "Point", "coordinates": [ 73.125000, 33.724340 ] } }
{ "type": "Feature", "properties": { "NAME": "Jakarta", "tippecanoe:retain_points_multiplier_sequence": 86, "tippecanoe:retain_points_multiplier_first": true }, "geometry": { "type": "Point", "coordinates": [ 106.787109, -6.140555 ] } }
,
{ "type": "Feature", "properties": { "NAME": "Kabul", "tippecanoe:retain_points_multiplier_sequence": 78 }, "geometry": { "type": "Point", "coordinates": [ 69.169922, 34.524661 ] } }
{ "type": "Feature", "properties": { "NAME": "Dili", "tippecanoe:retain_points_multiplier_sequence": 19 }, "geometry": { "type": "Point", "coordinates": [ 125.595703, -8.581021 ] } }
,
{ "type": "Feature", "properties": { "NAME": "Port Moresby", "tippecanoe:retain_points_multiplier_sequence": 25 }, "geometry": { "type": "Point", "coordinates": [ 147.216797, -9.449062 ] } }
,
{ "type": "Feature", "properties": { "NAME": "Kabul", "tippecanoe:retain_points_multiplier_sequence": 78, "tippecanoe:retain_points_multiplier_first": true }, "geometry": { "type": "Point", "coordinates": [ 69.169922, 34.524661 ] } }
,
{ "type": "Feature", "properties": { "NAME": "Islamabad", "tippecanoe:retain_points_multiplier_sequence": 23 }, "geometry": { "type": "Point", "coordinates": [ 73.125000, 33.724340 ] } }
,
{ "type": "Feature", "properties": { "NAME": "New Delhi", "tippecanoe:retain_points_multiplier_sequence": 75 }, "geometry": { "type": "Point", "coordinates": [ 77.167969, 28.613459 ] } }
,
{ "type": "Feature", "properties": { "NAME": "Juba", "tippecanoe:retain_points_multiplier_sequence": 6, "tippecanoe:retain_points_multiplier_first": true }, "geometry": { "type": "Point", "coordinates": [ 31.552734, 4.828260 ] } }
{ "type": "Feature", "properties": { "NAME": "Khartoum", "tippecanoe:retain_points_multiplier_sequence": 54, "tippecanoe:retain_points_multiplier_first": true }, "geometry": { "type": "Point", "coordinates": [ 32.519531, 15.623037 ] } }
,
{ "type": "Feature", "properties": { "NAME": "Juba", "tippecanoe:retain_points_multiplier_sequence": 6 }, "geometry": { "type": "Point", "coordinates": [ 31.552734, 4.828260 ] } }
,
{ "type": "Feature", "properties": { "NAME": "Kampala", "tippecanoe:retain_points_multiplier_sequence": 21 }, "geometry": { "type": "Point", "coordinates": [ 32.607422, 0.351560 ] } }
,
{ "type": "Feature", "properties": { "NAME": "Khartoum", "tippecanoe:retain_points_multiplier_sequence": 54 }, "geometry": { "type": "Point", "coordinates": [ 32.519531, 15.623037 ] } }
,
{ "type": "Feature", "properties": { "NAME": "Kingston", "tippecanoe:retain_points_multiplier_sequence": 31, "tippecanoe:retain_points_multiplier_first": true }, "geometry": { "type": "Point", "coordinates": [ -76.728516, 17.978733 ] } }
,
{ "type": "Feature", "properties": { "NAME": "Port-au-Prince", "tippecanoe:retain_points_multiplier_sequence": 20 }, "geometry": { "type": "Point", "coordinates": [ -72.333984, 18.562947 ] } }
,
{ "type": "Feature", "properties": { "NAME": "Santo Domingo", "tippecanoe:retain_points_multiplier_sequence": 60 }, "geometry": { "type": "Point", "coordinates": [ -69.873047, 18.479609 ] } }
,
{ "type": "Feature", "properties": { "NAME": "Kingstown", "tippecanoe:retain_points_multiplier_sequence": 14, "tippecanoe:retain_points_multiplier_first": true }, "geometry": { "type": "Point", "coordinates": [ -61.171875, 13.154376 ] } }
,
{ "type": "Feature", "properties": { "NAME": "Saint George's", "tippecanoe:retain_points_multiplier_sequence": 15 }, "geometry": { "type": "Point", "coordinates": [ -61.699219, 12.039321 ] } }
,
{ "type": "Feature", "properties": { "NAME": "Bridgetown", "tippecanoe:retain_points_multiplier_sequence": 13 }, "geometry": { "type": "Point", "coordinates": [ -59.589844, 13.068777 ] } }
,
{ "type": "Feature", "properties": { "NAME": "Kinshasa", "tippecanoe:retain_points_multiplier_sequence": 74, "tippecanoe:retain_points_multiplier_first": true }, "geometry": { "type": "Point", "coordinates": [ 15.292969, -4.302591 ] } }
,
{ "type": "Feature", "properties": { "NAME": "Luanda", "tippecanoe:retain_points_multiplier_sequence": 63 }, "geometry": { "type": "Point", "coordinates": [ 13.271484, -8.841651 ] } }
,
{ "type": "Feature", "properties": { "NAME": "Windhoek", "tippecanoe:retain_points_multiplier_sequence": 28 }, "geometry": { "type": "Point", "coordinates": [ 17.050781, -22.593726 ] } }
,
{ "type": "Feature", "properties": { "NAME": "Kyoto", "tippecanoe:retain_points_multiplier_sequence": 11, "tippecanoe:retain_points_multiplier_first": true }, "geometry": { "type": "Point", "coordinates": [ 135.791016, 35.029996 ] } }
{ "type": "Feature", "properties": { "NAME": "Lima", "tippecanoe:retain_points_multiplier_sequence": 69, "tippecanoe:retain_points_multiplier_first": true }, "geometry": { "type": "Point", "coordinates": [ -77.080078, -12.039321 ] } }
,
{ "type": "Feature", "properties": { "NAME": "Melekeok", "tippecanoe:retain_points_multiplier_sequence": 2 }, "geometry": { "type": "Point", "coordinates": [ 134.648438, 7.449624 ] } }
,
{ "type": "Feature", "properties": { "NAME": "Osaka", "tippecanoe:retain_points_multiplier_sequence": 73 }, "geometry": { "type": "Point", "coordinates": [ 135.439453, 34.741612 ] } }
,
{ "type": "Feature", "properties": { "NAME": "La Paz", "tippecanoe:retain_points_multiplier_sequence": 45, "tippecanoe:retain_points_multiplier_first": true }, "geometry": { "type": "Point", "coordinates": [ -68.115234, -16.467695 ] } }
,
{ "type": "Feature", "properties": { "NAME": "Lima", "tippecanoe:retain_points_multiplier_sequence": 69 }, "geometry": { "type": "Point", "coordinates": [ -77.080078, -12.039321 ] } }
{ "type": "Feature", "properties": { "NAME": "La Paz", "tippecanoe:retain_points_multiplier_sequence": 45 }, "geometry": { "type": "Point", "coordinates": [ -68.115234, -16.467695 ] } }
,
{ "type": "Feature", "properties": { "NAME": "Valparaiso", "tippecanoe:retain_points_multiplier_sequence": 38 }, "geometry": { "type": "Point", "coordinates": [ -71.630859, -33.063924 ] } }
,
{ "type": "Feature", "properties": { "NAME": "Libreville", "tippecanoe:retain_points_multiplier_sequence": 36, "tippecanoe:retain_points_multiplier_first": true }, "geometry": { "type": "Point", "coordinates": [ 9.492188, 0.351560 ] } }
{ "type": "Feature", "properties": { "NAME": "Luxembourg", "tippecanoe:retain_points_multiplier_sequence": 0, "tippecanoe:retain_points_multiplier_first": true }, "geometry": { "type": "Point", "coordinates": [ 6.152344, 49.610710 ] } }
,
{ "type": "Feature", "properties": { "NAME": "Malabo", "tippecanoe:retain_points_multiplier_sequence": 33 }, "geometry": { "type": "Point", "coordinates": [ 8.789062, 3.776559 ] } }
{ "type": "Feature", "properties": { "NAME": "Paris", "tippecanoe:retain_points_multiplier_sequence": 89 }, "geometry": { "type": "Point", "coordinates": [ 2.373047, 48.864715 ] } }
,
{ "type": "Feature", "properties": { "NAME": "Andorra", "tippecanoe:retain_points_multiplier_sequence": 4 }, "geometry": { "type": "Point", "coordinates": [ 1.494141, 42.488302 ] } }
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tests/ne_110m_populated_places/out/-z0_-r2_-B3_-yNAME_--retain-points-multiplier_3_--preserve-input-order.json
+99 -99
View File
@@ -16,119 +16,95 @@
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{ "type": "Feature", "properties": { "NAME": "Bucharest", "tippecanoe:retain_points_multiplier_sequence": 53, "tippecanoe:retain_points_multiplier_first": true }, "geometry": { "type": "Point", "coordinates": [ 26.103516, 44.465151 ] } }
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@@ -136,11 +112,11 @@
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@@ -148,35 +124,17 @@
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@@ -190,11 +148,53 @@
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tests/pbf/0-0-0-pop-accum.pbf.json
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{ "type": "Feature", "properties": { "NAME": "Castries,Kingstown,Saint George's,Bridgetown,Caracas,Port-of-Spain,Georgetown,Paramaribo,Reykjavík,Dublin,London,Praia,Laayoune,Lisbon,Casablanca,Rabat,Madrid,Bir Lehlou,Dakar,Nouakchott,Banjul,Bissau,Conakry,Freetown,Bamako,Ouagadougou,Monrovia,Yamoussoukro,Abidjan,Accra" }, "geometry": { "type": "Point", "coordinates": [ -60.996094, 14.008696 ] } }
,
{ "type": "Feature", "properties": { "NAME": "Nukualofa,Apia,Quito,Lima,La Paz,Valparaiso,Santiago,Sucre,Brasilia,Asuncion,Buenos Aires,Sao Paulo,Montevideo,Rio de Janeiro,Oslo,Stockholm,The Hague,Amsterdam,Brussels,Luxembourg,Paris,Andorra,Geneva,Bern,Vaduz,Monaco,København,Berlin,Prague,Warsaw" }, "geometry": { "type": "MultiPoint", "coordinates": [ [ -175.166016, -21.125498 ], [ 184.833984, -21.125498 ] ] } }
,
{ "type": "Feature", "properties": { "NAME": "Vienna,Ljubljana,Zagreb,San Marino,Vatican City,Rome,Bratislava,Budapest,Sarajevo,Podgorica,Belgrade,Tirana,Pristina,Skopje,Helsinki,Tallinn,Riga,Vilnius,Minsk,Kiev,Sofia,Bucharest,Chisinau,Istanbul,Moscow,Tbilisi,Algiers,Tunis,Tripoli,Valletta" }, "geometry": { "type": "Point", "coordinates": [ 16.347656, 48.166085 ] } }
,
{ "type": "Feature", "properties": { "NAME": "Niamey,Lome,Cotonou,Porto-Novo,Lagos,Abuja,Sao Tome,Malabo,Libreville,Ndjamena,Yaounde,Bangui,Athens,Ankara,Nicosia,Cairo,Tel Aviv-Yafo,Beirut,Damascus,Yerevan,Baghdad,Jerusalem,Amman,Khartoum,Juba,Kampala,Asmara,Sanaa,Djibouti,Addis Ababa" }, "geometry": { "type": "Point", "coordinates": [ 2.109375, 13.496473 ] } }
,
{ "type": "Feature", "properties": { "NAME": "Hargeysa,Astana,Tashkent,Bishkek,Urumqi,Baku,Tehran,Kuwait,Riyadh,Manama,Doha,Dubai,Abu Dhabi,Ashgabat,Muscat,Mogadishu,Dushanbe,Kabul,Islamabad,New Delhi,Kathmandu,Thimphu,Kolkata,Mumbai,Bangalore,Male,Colombo,Sri Jawewardenepura Kotte,Ulaanbaatar,Dhaka" }, "geometry": { "type": "Point", "coordinates": [ 44.121094, 9.535749 ] } }
,
{ "type": "Feature", "properties": { "NAME": "Chengdu,Naypyidaw,Rangoon,Bangkok,Vientiane,Hanoi,Phnom Penh,Kuala Lumpur,Putrajaya,Singapore,Beijing,Hong Kong,Shanghai,Taipei,Pyongyang,Seoul,Baguio City,Manila,Bandar Seri Begawan,Melekeok,Osaka,Kyoto,Tokyo,Palikir,Majuro,Tarawa,Brazzaville,Kinshasa,Luanda,Windhoek" }, "geometry": { "type": "Point", "coordinates": [ 104.062500, 30.675715 ] } }
,
{ "type": "Feature", "properties": { "NAME": "Cape Town,Kigali,Bujumbura,Lusaka,Harare,Nairobi,Dodoma,Dar es Salaam,Lilongwe,Moroni,Gaborone,Johannesburg,Bloemfontein,Maseru,Pretoria,Mbabane,Lobamba,Maputo,Victoria,Antananarivo,Port Louis,Jakarta,Dili,Port Moresby,Melbourne,Sydney,Canberra,Honiara,Port Vila,Funafuti" }, "geometry": { "type": "Point", "coordinates": [ 18.457031, -33.943360 ] } }
,
{ "type": "Feature", "properties": { "NAME": "Suva,Auckland,Wellington" }, "geometry": { "type": "MultiPoint", "coordinates": [ [ 178.505859, -18.145852 ], [ -181.582031, -18.145852 ] ] } }
] }
] }
tile-join.cpp
+8 -53
View File
@@ -70,21 +70,6 @@ struct stats {
std::vector<struct strategy> strategies;
};
void aprintf(std::string *buf, const char *format, ...) {
va_list ap;
char *tmp;
va_start(ap, format);
if (vasprintf(&tmp, format, ap) < 0) {
fprintf(stderr, "memory allocation failure\n");
exit(EXIT_MEMORY);
}
va_end(ap);
buf->append(tmp, strlen(tmp));
free(tmp);
}
void append_tile(std::string message, int z, unsigned x, unsigned y, std::map<std::string, layermap_entry> &layermap, std::vector<std::string> &header, std::map<std::string, std::vector<std::string>> &mapping, std::set<std::string> &exclude, std::set<std::string> &include, std::set<std::string> &keep_layers, std::set<std::string> &remove_layers, int ifmatched, mvt_tile &outtile, json_object *filter) {
mvt_tile tile;
int features_added = 0;
@@ -173,49 +158,19 @@ void append_tile(std::string message, int z, unsigned x, unsigned y, std::map<st
for (size_t t = 0; t + 1 < feat.tags.size(); t += 2) {
const char *key = layer.keys[feat.tags[t]].c_str();
mvt_value &val = layer.values[feat.tags[t + 1]];
std::string value;
int type = -1;
serial_val sv = mvt_value_to_serial_val(val);
if (val.type == mvt_string) {
value = val.string_value;
type = mvt_string;
} else if (val.type == mvt_int) {
aprintf(&value, "%lld", (long long) val.numeric_value.int_value);
type = mvt_double;
} else if (val.type == mvt_double) {
aprintf(&value, "%s", milo::dtoa_milo(val.numeric_value.double_value).c_str());
type = mvt_double;
} else if (val.type == mvt_float) {
aprintf(&value, "%s", milo::dtoa_milo(val.numeric_value.float_value).c_str());
type = mvt_double;
} else if (val.type == mvt_bool) {
aprintf(&value, "%s", val.numeric_value.bool_value ? "true" : "false");
type = mvt_bool;
} else if (val.type == mvt_sint) {
aprintf(&value, "%lld", (long long) val.numeric_value.sint_value);
type = mvt_double;
} else if (val.type == mvt_uint) {
aprintf(&value, "%llu", (long long) val.numeric_value.uint_value);
type = mvt_double;
} else {
continue;
}
if (type < 0) {
if (sv.type == mvt_null) {
continue;
}
if (include.count(std::string(key)) || (!exclude_all && exclude.count(std::string(key)) == 0 && exclude_attributes.count(std::string(key)) == 0)) {
serial_val sv;
sv.type = type;
sv.s = value;
attributes.insert(std::pair<std::string, std::pair<mvt_value, serial_val>>(key, std::pair<mvt_value, serial_val>(val, sv)));
key_order.push_back(key);
}
if (header.size() > 0 && strcmp(key, header[0].c_str()) == 0) {
std::map<std::string, std::vector<std::string>>::iterator ii = mapping.find(value);
std::map<std::string, std::vector<std::string>>::iterator ii = mapping.find(sv.s);
if (ii != mapping.end()) {
std::vector<std::string> fields = ii->second;
@@ -253,14 +208,14 @@ void append_tile(std::string message, int z, unsigned x, unsigned y, std::map<st
attributes.erase(fa);
}
serial_val sv;
sv.type = outval.type;
sv.s = joinval;
serial_val outsv;
outsv.type = outval.type;
outsv.s = joinval;
// Convert from double to int if the joined attribute is an integer
outval = stringified_to_mvt_value(outval.type, joinval.c_str());
attributes.insert(std::pair<std::string, std::pair<mvt_value, serial_val>>(joinkey, std::pair<mvt_value, serial_val>(outval, sv)));
attributes.insert(std::pair<std::string, std::pair<mvt_value, serial_val>>(joinkey, std::pair<mvt_value, serial_val>(outval, outsv)));
key_order.push_back(joinkey);
}
}
@@ -744,7 +699,7 @@ struct tileset_reader {
}
if (source.layers.size() != 0) {
std::string ret = overzoom(source, parent_tile.z, parent_tile.x, parent_tile.y, tile.z, tile.x, tile.y, -1, buffer, std::set<std::string>(), false, &next_overzoomed_tiles, false, NULL, false);
std::string ret = overzoom(source, parent_tile.z, parent_tile.x, parent_tile.y, tile.z, tile.x, tile.y, -1, buffer, std::set<std::string>(), false, &next_overzoomed_tiles, false, NULL, false, std::map<std::string, attribute_op>());
return ret;
}
tile.cpp
+6 -78
View File
@@ -43,6 +43,7 @@
#include "errors.hpp"
#include "compression.hpp"
#include "protozero/varint.hpp"
#include "attribute.hpp"
extern "C" {
#include "jsonpull/jsonpull.h"
@@ -507,11 +508,6 @@ void rewrite(drawvec &geom, int z, int nextzoom, int maxzoom, long long *bbox, u
}
}
struct accum_state {
double sum = 0;
double count = 0;
};
struct partial {
std::vector<drawvec> geoms = std::vector<drawvec>();
std::vector<long long> keys = std::vector<long long>();
@@ -1825,7 +1821,7 @@ void add_tilestats(std::string const &layername, int z, std::vector<std::map<std
add_to_tilestats(ts->second.tilestats, key, val);
}
void preserve_attribute(attribute_op op, serial_feature &, char *stringpool, long long *pool_off, std::string &key, serial_val &val, partial &p) {
void promote_attribute(std::string const &key, partial &p, char *stringpool, long long *pool_off) {
if (p.need_tilestats.count(key) == 0) {
p.need_tilestats.insert(key);
}
@@ -1848,70 +1844,6 @@ void preserve_attribute(attribute_op op, serial_feature &, char *stringpool, lon
break;
}
}
for (size_t i = 0; i < p.full_keys.size(); i++) {
if (key == p.full_keys[i]) {
switch (op) {
case op_sum:
p.full_values[i].s = milo::dtoa_milo(atof(p.full_values[i].s.c_str()) + atof(val.s.c_str()));
p.full_values[i].type = mvt_double;
break;
case op_product:
p.full_values[i].s = milo::dtoa_milo(atof(p.full_values[i].s.c_str()) * atof(val.s.c_str()));
p.full_values[i].type = mvt_double;
break;
case op_max: {
double existing = atof(p.full_values[i].s.c_str());
double maybe = atof(val.s.c_str());
if (maybe > existing) {
p.full_values[i].s = val.s.c_str();
p.full_values[i].type = mvt_double;
}
break;
}
case op_min: {
double existing = atof(p.full_values[i].s.c_str());
double maybe = atof(val.s.c_str());
if (maybe < existing) {
p.full_values[i].s = val.s.c_str();
p.full_values[i].type = mvt_double;
}
break;
}
case op_mean: {
auto state = p.attribute_accum_state.find(key);
if (state == p.attribute_accum_state.end()) {
accum_state s;
s.sum = atof(p.full_values[i].s.c_str()) + atof(val.s.c_str());
s.count = 2;
p.attribute_accum_state.insert(std::pair<std::string, accum_state>(key, s));
p.full_values[i].s = milo::dtoa_milo(s.sum / s.count);
} else {
state->second.sum += atof(val.s.c_str());
state->second.count += 1;
p.full_values[i].s = milo::dtoa_milo(state->second.sum / state->second.count);
}
break;
}
case op_concat:
p.full_values[i].s += val.s;
p.full_values[i].type = mvt_string;
break;
case op_comma:
p.full_values[i].s += std::string(",") + val.s;
p.full_values[i].type = mvt_string;
break;
}
}
}
}
void preserve_attributes(std::map<std::string, attribute_op> const *attribute_accum, serial_feature &sf, char *stringpool, long long *pool_off, partial &p) {
@@ -1924,7 +1856,8 @@ void preserve_attributes(std::map<std::string, attribute_op> const *attribute_ac
auto f = attribute_accum->find(key);
if (f != attribute_accum->end()) {
preserve_attribute(f->second, sf, stringpool, pool_off, key, sv, p);
promote_attribute(key, p, stringpool, pool_off);
preserve_attribute(f->second, key, sv, p.full_keys, p.full_values, p.attribute_accum_state);
}
}
for (size_t i = 0; i < sf.full_keys.size(); i++) {
@@ -1933,7 +1866,8 @@ void preserve_attributes(std::map<std::string, attribute_op> const *attribute_ac
auto f = attribute_accum->find(key);
if (f != attribute_accum->end()) {
preserve_attribute(f->second, sf, stringpool, pool_off, key, sv, p);
promote_attribute(key, p, stringpool, pool_off);
preserve_attribute(f->second, key, sv, p.full_keys, p.full_values, p.attribute_accum_state);
}
}
}
@@ -2721,18 +2655,12 @@ long long write_tile(decompressor *geoms, std::atomic<long long> *geompos_in, ch
if (prevent[P_INPUT_ORDER]) {
auto clustered = assemble_multiplier_clusters(layer_features);
for (auto &c : clustered) {
std::sort(c.begin(), c.end());
}
std::sort(clustered.begin(), clustered.end(), preservecmp);
layer_features = disassemble_multiplier_clusters(clustered);
}
if (order_by.size() != 0) {
auto clustered = assemble_multiplier_clusters(layer_features);
for (auto &c : clustered) {
std::sort(c.begin(), c.end());
}
std::sort(clustered.begin(), clustered.end(), ordercmp);
layer_features = disassemble_multiplier_clusters(clustered);
}
tile.hpp
+1 -10
View File
@@ -8,18 +8,9 @@
#include <map>
#include "mbtiles.hpp"
#include "serial.hpp"
#include "attribute.hpp"
#include "jsonpull/jsonpull.h"
enum attribute_op {
op_sum,
op_product,
op_mean,
op_concat,
op_comma,
op_max,
op_min,
};
struct atomic_strategy {
std::atomic<size_t> dropped_by_rate;
std::atomic<size_t> dropped_by_gamma;
version.hpp
+1 -1
View File
@@ -1,6 +1,6 @@
#ifndef VERSION_HPP
#define VERSION_HPP
#define VERSION "v2.41.1"
#define VERSION "v2.41.2"
#endif