memgraph/tests/integration/_hardcoded_query/dressipi.hpp

639 lines
19 KiB
C++

#pragma once
#include "includes.hpp"
namespace hardcode
{
// TODO: decouple hashes from the code because hashes could and should be
// tested separately
auto load_dressipi_functions(Db &db)
{
query_functions_t functions;
// Query: CREATE (g:garment {garment_id: 1234, garment_category_id: 1}) RETURN g
// Hash: 18071907865596388702
functions[18071907865596388702u] = [&db](properties_t &&args) {
DbAccessor t(db);
auto garment_id =
t.vertex_property_key("garment_id", args[0].key.flags());
auto garment_category_id =
t.vertex_property_key("garment_category_id", args[1].key.flags());
// vertex_accessor
auto va = t.vertex_insert();
va.set(garment_id, std::move(args[0]));
va.set(garment_category_id, std::move(args[1]));
auto &garment = t.label_find_or_create("garment");
va.add_label(garment);
// stream.write_field("g");
// stream.write_vertex_record(va);
// stream.write_meta("w");
print_entities(t);
return t.commit();
};
// Query: CREATE (p:profile {profile_id: 111, partner_id: 55}) RETURN p
// Hash: 17158428452166262783
functions[17158428452166262783u] = [&db](properties_t &&args) {
DbAccessor t(db);
auto profile_id =
t.vertex_property_key("profile_id", args[0].key.flags());
auto partner_id =
t.vertex_property_key("partner_id", args[1].key.flags());
auto va = t.vertex_insert();
va.set(profile_id, std::move(args[0]));
va.set(partner_id, std::move(args[1]));
auto &profile = t.label_find_or_create("profile");
va.add_label(profile);
// stream.write_field("p");
// stream.write_vertex_record(va);
// stream.write_meta("w");
print_entities(t);
return t.commit();
};
// Query: MATCH (g:garment {garment_id: 1234}) SET g:FF RETURN labels(g)
// Hash: 11123780635391515946
functions[11123780635391515946u] = [&db](properties_t &&args) {
DbAccessor t(db);
indices_t indices = {{"garment_id", 0}};
auto properties = query_properties(indices, args);
auto &label = t.label_find_or_create("garment");
// stream.write_field("labels(g)");
label.index()
.for_range(t)
.properties_filter(t, properties)
.for_all([&](auto va) -> void {
va.stream_repr(std::cout);
auto &ff_label = t.label_find_or_create("FF");
va.add_label(ff_label);
auto &labels = va.labels();
// stream.write_record();
// stream.write_list_header(1);
// stream.write_list_header(labels.size());
for (auto &label : labels)
{
// stream.write(label.get().str());
utils::println("LABELS: ", label.get().str());
}
// stream.chunk();
});
// stream.write_meta(\"rw");
print_entities(t);
return t.commit();
};
// Query: MATCH (p:profile {profile_id: 111, partner_id:55})-[s:score]-(g:garment {garment_id: 1234}) SET s.score = 1550 RETURN s.score
// Hash: 674581607834128909
functions[674581607834128909u] = [&db](properties_t &&args) {
DbAccessor t(db);
auto &profile = t.label_find_or_create("profile");
auto &score = t.type_find_or_create("score");
auto &garment = t.label_find_or_create("garment");
indices_t profile_ind = {{"profile_id", 0}, {"partner_id", 1}};
indices_t garment_ind = {{"garment_id", 2}};
auto profile_prop = query_properties(profile_ind, args);
auto garment_prop = query_properties(garment_ind, args);
auto score_key = t.edge_property_key("score", args[3].key.flags());
// TODO: decide path (which index is better)
// 3 options p->s->g, g->s->p, g<-s->p
// NOTE! both direections have to be chacked
// because pattern is non directional
// OR
// even better, use index on label and property
// just one option p->s->g!
Option<const EdgeAccessor> e1;
profile.index()
.for_range(t)
.properties_filter(t, profile_prop)
.out()
.type(score)
.clone_to(e1)
.to()
.label(garment)
.properties_filter(t, garment_prop)
.for_all([&](auto va) -> void {
auto ea = e1.get().update();
ea.set(score_key, std::move(args[3]));
});
Option<const EdgeAccessor> e2;
profile.index()
.for_range(t)
.properties_filter(t, profile_prop)
.in()
.type(score)
.clone_to(e1)
.from()
.label(garment)
.properties_filter(t, garment_prop)
.for_all([&](auto va) -> void {
auto ea = e2.get().update();
ea.set(score_key, std::move(args[3]));
});
// stream.write_field("r.score");
// write_record();
// write_list_header(1);
// write(Float(args[3]));
// chunk();
print_entities(t);
return t.commit();
};
// Query: MATCH (g:garment {garment_id: 3456}) SET g.reveals = 50 RETURN g
// Hash: 2839969099736071844
functions[2839969099736071844u] = [&db](properties_t &&args) {
DbAccessor t(db);
auto reveals_key =
t.vertex_property_key("reveals", args[1].key.flags());
indices_t indices = {{"garment_id", 0}};
auto properties = query_properties(indices, args);
auto &label = t.label_find_or_create("garment");
// stream.write_field("g");
label.index()
.for_range(t)
.properties_filter(t, properties)
.fill()
.for_all([&](auto va) {
va.set(reveals_key, args[1]);
// stream.write_vertex_record(va);
});
// stream.write_meta("w");
print_entities(t);
return t.commit();
};
// Query: MERGE (g1:garment {garment_id:1234})-[r:default_outfit]-(g2:garment {garment_id: 2345}) RETURN r
// Hash: 3782642357973971504
functions[3782642357973971504u] = [&db](properties_t &&args) {
DbAccessor t(db);
// TODO: support for index on label and property
// prepare iterator for g1
indices_t indices_1 = {{"garment_id", 0}};
auto properties_1 = query_properties(indices_1, args);
auto &label_1 = t.label_find_or_create("garment");
auto it_vertex_1 =
label_1.index().for_range(t).properties_filter(t, properties_1);
// prepare iterator for g1
indices_t indices_2 = {{"garment_id", 1}};
auto properties_2 = query_properties(indices_2, args);
auto &label_2 = t.label_find_or_create("garment");
auto it_vertex_2 =
label_2.index().for_range(t).properties_filter(t, properties_2);
auto &edge_type = t.type_find_or_create("default_outfit");
// TODO: create g1 and g2 if don't exist
// TODO: figure out something better
// stream.write_field("r");
it_vertex_1.fill().for_all([&](auto va1) -> void {
it_vertex_2.fill().for_all([&](auto va2) -> void {
auto edge_accessor = t.edge_insert(va1, va2);
edge_accessor.edge_type(edge_type);
// stream.write_edge_record(edge_accessor);
});
});
// stream.write_meta("w");
print_entities(t);
return t.commit();
};
// Query: MERGE (p:profile {profile_id: 111, partner_id: 55})-[s:score]-(g.garment {garment_id: 1234}) SET s.score=1500 RETURN s
// Hash: 7871009397157280694
functions[7871009397157280694u] = [&db](properties_t &&args) {
DbAccessor t(db);
auto &profile = t.label_find_or_create("profile");
auto &score = t.type_find_or_create("score");
auto &garment = t.label_find_or_create("garment");
indices_t profile_ind = {{"profile_id", 0}, {"partner_id", 1}};
indices_t garment_ind = {{"garment_id", 2}};
auto profile_prop = query_properties(profile_ind, args);
auto garment_prop = query_properties(garment_ind, args);
auto score_key = t.edge_property_key("score", args[3].key.flags());
// stream.write_field("s");
// TODO: implement
bool exists = false;
Option<const EdgeAccessor> e1;
profile.index()
.for_range(t)
.properties_filter(t, profile_prop)
.out()
.type(score)
.clone_to(e1)
.to()
.label(garment)
.properties_filter(t, garment_prop)
.for_all([&](auto va) -> void {
exists = true;
auto ea = e1.get().update();
ea.set(score_key, args[3]);
// stream.write_edge_record(ea);
});
Option<const EdgeAccessor> e2;
profile.index()
.for_range(t)
.properties_filter(t, profile_prop)
.in()
.type(score)
.clone_to(e1)
.from()
.label(garment)
.properties_filter(t, garment_prop)
.for_all([&](auto va) -> void {
exists = true;
auto ea = e2.get().update();
ea.set(score_key, args[3]);
// stream.write_edge_record(ea);
});
if (!exists) {
auto it_vertex_garment =
garment.index().for_range(t).properties_filter(t, garment_prop);
auto it_vertex_profile =
profile.index().for_range(t).properties_filter(t, profile_prop);
it_vertex_profile.fill().for_all([&](auto va1) -> void {
it_vertex_garment.fill().for_all([&](auto va2) -> void {
auto ea = t.edge_insert(va1, va2);
ea.edge_type(score);
ea.set(score_key, args[3]);
// stream.write_edge_record(ea);
});
});
}
// stream.write_field("w");
print_entities(t);
return t.commit();
};
// Query: MATCH (p:profile {profile_id: 111, partner_id:55})-[s:score]-(g.garment {garment_id: 1234}) DELETE s
// Hash: 9459600951073026137
functions[9459600951073026137u] = [&db](properties_t &&args) {
DbAccessor t(db);
auto &profile = t.label_find_or_create("profile");
auto &score = t.type_find_or_create("score");
auto &garment = t.label_find_or_create("garment");
indices_t profile_ind = {{"profile_id", 0}, {"partner_id", 1}};
indices_t garment_ind = {{"garment_id", 2}};
auto profile_prop = query_properties(profile_ind, args);
auto garment_prop = query_properties(garment_ind, args);
auto score_key = t.edge_property_key("score", args[3].key.flags());
// TODO: decide path (which index is better)
// 3 options p->s->g, g->s->p, g<-s->p
// NOTE! both direections have to be chacked
// because pattern is non directional
// OR
// even better, use index on label and property
// just one option p->s->g!
Option<const EdgeAccessor> e1;
profile.index()
.for_range(t)
.properties_filter(t, profile_prop)
.out()
.type(score)
.clone_to(e1)
.to()
.label(garment)
.properties_filter(t, garment_prop)
.for_all([&](auto va) -> void {
auto ea = e1.get().update();
ea.remove();
});
Option<const EdgeAccessor> e2;
profile.index()
.for_range(t)
.properties_filter(t, profile_prop)
.in()
.type(score)
.clone_to(e1)
.from()
.label(garment)
.properties_filter(t, garment_prop)
.for_all([&](auto va) -> void {
auto ea = e2.get().update();
ea.remove();
});
// stream.write_empty_fields();
// stream.write_meta("w");
print_entities(t);
return t.commit();
};
// Query: MATCH (p:garment {garment_id: 1}) DELETE g
// Hash: 11538263096707897794
functions[11538263096707897794u] = [&db](properties_t &&args) {
DbAccessor t(db);
indices_t indices = {{"garment_id", 0}};
auto properties = query_properties(indices, args);
auto &label = t.label_find_or_create("garment");
label.index()
.for_range(t)
.properties_filter(t, properties)
.for_all([&](auto va) { va.remove(); });
// stream.write_empty_fields();
// stream.write_meta("w");
print_entities(t);
return t.commit();
};
// Query: MATCH (p:profile {profile_id: 1}) DELETE p
// Hash: 6763665709953344106
functions[6763665709953344106u] = [&db](properties_t &&args) {
DbAccessor t(db);
indices_t indices = {{"profile_id", 0}};
auto properties = query_properties(indices, args);
auto &label = t.label_find_or_create("profile");
label.index()
.for_range(t)
.properties_filter(t, properties)
.for_all([&](auto va) { va.remove(); });
// stream.write_empty_fields();
// stream.write_meta("w");
print_entities(t);
return t.commit();
};
// Query: MATCH (n) RETURN n
// Hash: 5949923385370229113
functions[5949923385370229113u] = [&db](properties_t &&args) {
DbAccessor t(db);
// stream.write_field("n");
t.vertex_access().fill().for_all([&](auto va) {
// stream.write_vertex_record(va);
va.stream_repr(std::cout);
utils::println("");
});
// stream.write_meta("r");
return t.commit();
};
// Query: MATCH (g:garment) RETURN g
// Hash: 2645003052555435977
functions[2645003052555435977u] = [&db](properties_t &&args) {
DbAccessor t(db);
auto &label = t.label_find_or_create("garment");
// stream.write_field("p");
label.index().for_range(t).for_all([&](auto va) -> void {
// stream.write_vertex_record(va);
va.stream_repr(std::cout);
utils::println("");
});
// stream.write_meta("r");
return t.commit();
};
// Query: MATCH (p:profile) RETURN p
// Hash: 15599970964909894866
functions[15599970964909894866u] = [&db](properties_t &&args) {
DbAccessor t(db);
auto &label = t.label_find_or_create("profile");
// stream.write_field("p");
label.index().for_range(t).for_all([&](auto va) {
// stream.write_vertex_record(va);
va.stream_repr(std::cout);
utils::println("");
});
// stream.write_meta("r");
print_entities(t);
return t.commit();
};
// Query: MATCH (g:garment {garment_id: 1}) RETURN g
// Hash: 7756609649964321221
functions[7756609649964321221u] = [&db](properties_t &&args) {
DbAccessor t(db);
indices_t indices = {{"garment_id", 0}};
auto properties = query_properties(indices, args);
auto &label = t.label_find_or_create("garment");
// stream.write_field("g");
label.index()
.for_range(t)
.properties_filter(t, properties)
.for_all([&](auto va) -> void {
// stream.write_vertex_record(va);
va.stream_repr(std::cout);
});
// stream.write_meta("w");
utils::println("");
print_entities(t);
return t.commit();
};
// Query: MATCH (p:profile {partner_id: 1}) RETURN p
// Hash: 17506488413143988006
functions[17506488413143988006u] = [&db](properties_t &&args) {
DbAccessor t(db);
indices_t indices = {{"partner_id", 0}};
auto properties = query_properties(indices, args);
auto &label = t.label_find_or_create("profile");
// stream.write_field("p");
label.index()
.for_range(t)
.properties_filter(t, properties)
.for_all([&](auto va) {
// stream.write_vertex_record(va);
va.stream_repr(std::cout);
});
// stream.write_meta("r");
utils::println("");
print_entities(t);
return t.commit();
};
// Query: MATCH (n) RETURN count(n)
// Hash: 10510787599699014973
functions[10510787599699014973u] = [&db](properties_t &&args) {
DbAccessor t(db);
size_t count = 0;
t.vertex_access().fill().for_all([&](auto va) { ++count; });
// stream.write_field("count(n)");
// stream.write_count(count);
// stream.write_meta("r");
utils::println("COUNT: ", count);
print_entities(t);
return t.commit();
};
// Query: MATCH (g:garment) RETURN count(g)
// Hash: 11458306387621940265
functions[11458306387621940265u] = [&db](properties_t &&args) {
DbAccessor t(db);
auto &label = t.label_find_or_create("garment");
size_t count = 0;
label.index().for_range(t).for_all([&](auto va) { ++count; });
// stream.write_field("count(g)");
// stream.write_count(count);
// stream.write_meta("r");
utils::println("COUNT: ", count);
print_entities(t);
return t.commit();
};
// Query: MATCH (p:profile) RETURN count(p)
// Hash: 7104933247859974916
functions[7104933247859974916u] = [&db](properties_t &&args) {
DbAccessor t(db);
auto &label = t.label_find_or_create("profile");
size_t count = 0;
label.index().for_range(t).for_all([&](auto va) { ++count; });
// stream.write_field("count(p)");
// stream.write_count(count);
// stream.write_meta("r");
utils::println("COUNT: ", count);
print_entities(t);
return t.commit();
};
// Query: MATCH (n) DETACH DELETE n
// Hash: 4798158026600988079
functions[4798158026600988079u] = [&db](properties_t &&args) {
DbAccessor t(db);
t.edge_access().fill().for_all([&](auto e) { e.remove(); });
t.vertex_access().fill().isolated().for_all(
[&](auto a) { a.remove(); });
// stream.write_empty_fields();
// stream.write_meta("w");
print_entities(t);
return t.commit();
};
return functions;
}
}