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Author SHA1 Message Date
Daniel Lemire b7b01fd788 More documentation regarding builder (#2270)
* minor update

* more improvment to our documentation (builder branch)

* putting back missing functions
2024-10-04 01:47:13 -04:00
Daniel Lemire 2c07a242ea General madness simpler, no simpler!!! (#2267)
* Minimal tag_invokes for STL types

* simpler madness

* adding a comment

* missing file

* minor tweaks to style

* fixing incorrect max/min usage

* updating single

* simplify

* validating the idea

* putting back the concept

* moving the include

* guarding

* Cheap General Madness (#2268)

* Some General Concepts and their deserializations

* Resolving ambiguity

* Add missing #include

* C++20 custom deserializer: better documentation (#2269)

* mostly a documentation update.

* missing cpp

* [no-ci] fix comment

* various minor fixes

---------

Co-authored-by: Daniel Lemire <dlemire@lemire.me>

---------

Co-authored-by: M. Bahoosh <12122474+the-moisrex@users.noreply.github.com>
Co-authored-by: Daniel Lemire <dlemire@lemire.me>
Co-authored-by: M. Bahoosh <moisrex@gmail.com>
2024-10-02 09:50:06 -04:00
21 changed files with 2976 additions and 1155 deletions
+183 -183
View File
@@ -17,7 +17,7 @@ An overview of what you need to know to use simdjson, with examples.
- [Using the parsed JSON](#using-the-parsed-json)
- [Using the parsed JSON: additional examples](#using-the-parsed-json-additional-examples)
- [Adding support for custom types](#adding-support-for-custom-types)
- [1. Specialize `simdjson::ondemand::value::get` to get custom types](#1-specialize-simdjsonondemandvalueget-to-get-custom-types)
- [1. Specialize `simdjson::ondemand::value::get` to get custom types (pre-C++20)](#1-specialize-simdjsonondemandvalueget-to-get-custom-types-pre-c20)
- [2. Use `tag_invoke` for custom types (C++20)](#2-use-tag_invoke-for-custom-types-c20)
- [Minifying JSON strings without parsing](#minifying-json-strings-without-parsing)
- [UTF-8 validation (alone)](#utf-8-validation-alone)
@@ -528,7 +528,7 @@ support for users who avoid exceptions. See [the simdjson error handling documen
double value;
auto doc = parser.iterate(abstract_json);
auto error = doc["str"]["123"]["abc"].get(value);
if (error) { std::cerr << error << std::endl; return EXIT_FAILURE; }
if (error) { std::cerr << simdjson::error_message(error) << std::endl; return EXIT_FAILURE; }
cout << value << endl; // Prints 3.14
```
This examples also show how we can string several operations and only check for the error once, a strategy we call *error chaining*.
@@ -797,17 +797,10 @@ There are 2 main ways provided by simdjson to deserialize a value into a custom
2. Specialize `simdjson::ondemand::value::get` for each value
2. Using `tag_invoke` *(the recommended way if your system supports C++20 or better)*
The differences between the two approaches are as follows:
We describe both of them in the following sections. Most users who have systems compatible with
C++20 or better should skip ahead to [using `tag_invoke` for custom types (C++20)](#2-use-tag_invoke-for-custom-types-c20) as it is more powerful and simpler.
1. Your compiler needs to support C++20 for `tag_invoke`.
2. The first way limits you to know your type fully, but in the `tag_invoke` way, you can use C++20 concepts and template meta programming as well.
3. Another difference between the two ways is that in `tag_invoke` way you may or may not mark your deserialization function (`tag_invoke` itself) as `noexcept`, but in the
*template specialization* way (the first way) you HAVE TO mark your specialization as `noexcept` which means that you may need to catch exceptions so
that your function does not throw any exception all the while it potentially can (for example any type like `std::string`, `std::vector`, etc. that has an allocator can potentially throw exceptions).
4. Another difference is that the `tag_invoke` way can work on both `document` and `value` but in the first way you have to provide 2 distinct specializations.
5. If you by mistake use both way with each other, the *specialization way* will be used silently due to backward-compatibility.
### 1. Specialize `simdjson::ondemand::value::get` to get custom types
### 1. Specialize `simdjson::ondemand::value::get` to get custom types (pre-C++20)
Suppose you have your own types, such as a `Car` struct:
@@ -843,13 +836,14 @@ type:
We may do so by providing additional template definitions to the `ondemand::value` type.
We may start by providing a definition for `std::vector<double>` as follows. Observe
how we guard the code with `#ifndef __cpp_concepts`: that is because the necessary code
how we guard the code with `#if !SIMDJSON_SUPPORTS_DESERIALIZATION`: that is because the necessary code
is automatically provided by simdjson if C++20 (and concepts) are available.
See [Use `tag_invoke` for custom types](#2-use-tag_invoke-for-custom-types-c20) if you have
C++20 support.
```c++
#ifndef __cpp_concepts // because the code is unnecessary with C++20
#if !SIMDJSON_SUPPORTS_DESERIALIZATION
// The code is unnecessary with C++20:
template <>
simdjson_inline simdjson_result<std::vector<double>>
simdjson::ondemand::value::get() noexcept {
@@ -861,7 +855,7 @@ simdjson::ondemand::value::get() noexcept {
double val;
error = v.get_double().get(val);
if (error) { return error; }
try { vec.push_back(val); } catch (...) { return simdjson::UNEXPECTED_ERROR; }
vec.push_back(val);
}
return vec;
}
@@ -877,27 +871,10 @@ simdjson_inline simdjson_result<Car> simdjson::ondemand::value::get() noexcept {
auto error = get_object().get(obj);
if (error) { return error; }
Car car;
// Instead of repeatedly obj["something"], we iterate through the object which
// we expect to be faster.
for (auto field : obj) {
raw_json_string key;
error = field.key().get(key);
if (error) { return error; }
if (key == "make") {
error = field.value().get_string(car.make);
if (error) { return error; }
} else if (key == "model") {
error = field.value().get_string(car.model);
if (error) { return error; }
} else if (key == "year") {
error = field.value().get_int64().get(car.year);
if (error) { return error; }
} else if (key == "tire_pressure") {
error = field.value().get<std::vector<double>>().get(car.tire_pressure);
if (error) { return error; }
}
}
if((error = obj["make"].get_string(car.make))) { return error; }
if((error = obj["model"].get_string(car.model))) { return error; }
if((error = obj["year"].get_int64().get(car.year))) { return error; }
if((error = obj["tire_pressure"].get<std::vector<double>>().get(car.tire_pressure))) { return error; }
return car;
}
```
@@ -921,7 +898,8 @@ struct Car {
std::vector<double> tire_pressure;
};
#ifndef __cpp_concepts // because the code is unnecessary with C++20
#if !SIMDJSON_SUPPORTS_DESERIALIZATION
// This code is not necessary if you have a C++20 compliant system:
template <>
simdjson_inline simdjson_result<std::vector<double>>
simdjson::ondemand::value::get() noexcept {
@@ -939,33 +917,16 @@ simdjson::ondemand::value::get() noexcept {
}
#endif
template <>
simdjson_inline simdjson_result<Car> simdjson::ondemand::value::get() noexcept {
ondemand::object obj;
auto error = get_object().get(obj);
if (error) { return error; }
Car car;
// Instead of repeatedly obj["something"], we iterate through the object which
// we expect to be faster.
for (auto field : obj) {
raw_json_string key;
error = field.key().get(key);
if (error) { return error; }
if (key == "make") {
error = field.value().get_string(car.make);
if (error) { return error; }
} else if (key == "model") {
error = field.value().get_string(car.model);
if (error) { return error; }
} else if (key == "year") {
error = field.value().get_int64().get(car.year);
if (error) { return error; }
} else if (key == "tire_pressure") {
error = field.value().get<std::vector<double>>().get(car.tire_pressure);
if (error) { return error; }
}
}
if((error = obj["make"].get_string(car.make))) { return error; }
if((error = obj["model"].get_string(car.model))) { return error; }
if((error = obj["year"].get_int64().get(car.year))) { return error; }
if((error = obj["tire_pressure"].get<std::vector<double>>().get(car.tire_pressure))) { return error; }
return car;
}
@@ -983,7 +944,6 @@ int main(void) {
Car c(val); // an exception may be thrown
std::cout << c.make << std::endl;
}
direct();
return EXIT_SUCCESS;
}
```
@@ -1004,11 +964,11 @@ int main(void) {
ondemand::parser parser;
ondemand::document doc;
auto error = parser.iterate(json).get(doc);
if (error) { std::cerr << error << std::endl; return EXIT_FAILURE; }
if (error) { std::cerr << simdjson::error_message(error) << std::endl; return EXIT_FAILURE; }
for (auto val : doc) {
Car c;
error = val.get<Car>().get(c);
if (error) { std::cerr << error << std::endl; return EXIT_FAILURE; }
if (error) { std::cerr << simdjson::error_message(error) << std::endl; return EXIT_FAILURE; }
std::cout << c.make << std::endl;
}
return EXIT_SUCCESS;
@@ -1039,16 +999,19 @@ struct Car {
std::vector<double> tire_pressure;
};
#ifndef __cpp_concepts // because the code is unnecessary with C++20
#if !SIMDJSON_SUPPORTS_DESERIALIZATION
// This code is not necessary if you have a C++20 compliant system:
template <>
simdjson_inline simdjson_result<std::vector<double>>
simdjson::ondemand::value::get() noexcept {
ondemand::array array;
if (auto error = get_array().get(array); error) { return error; }
auto error = get_array().get(array);
if (error) { return error; }
std::vector<double> vec;
for (auto v : array) {
double val;
if (auto error = v.get_double().get(val); error) { return error; }
error = v.get_double().get(val);
if (error) { return error; }
vec.push_back(val);
}
return vec;
@@ -1059,30 +1022,26 @@ template <>
simdjson_inline simdjson_result<Car> simdjson::ondemand::document::get() & noexcept {
ondemand::object obj;
auto error = get_object().get(obj);
if (error) {
return error;
}
if (error) { return error; }
Car car;
// Instead of repeatedly obj["something"], we iterate through the object which
// we expect to be faster.
for (auto field : obj) {
raw_json_string key;
error = field.key().get(key);
if (error) { return error; }
if (key == "make") {
error = field.value().get_string(car.make);
if (error) { return error; }
} else if (key == "model") {
error = field.value().get_string(car.model);
if (error) { return error; }
} else if (key == "year") {
error = field.value().get_int64().get(car.year);
if (error) { return error; }
} else if (key == "tire_pressure") {
error = field.value().get<std::vector<double>>().get(car.tire_pressure);
if (error) { return error; }
}
}
if((error = obj["make"].get_string(car.make))) { return error; }
if((error = obj["model"].get_string(car.model))) { return error; }
if((error = obj["year"].get_int64().get(car.year))) { return error; }
if((error = obj["tire_pressure"].get<std::vector<double>>().get(car.tire_pressure))) { return error; }
return car;
}
template <>
simdjson_inline simdjson_result<Car> simdjson::ondemand::document::get() noexcept {
ondemand::object obj;
auto error = get_object().get(obj);
if (error) { return error; }
Car car;
if((error = obj["make"].get_string(car.make))) { return error; }
if((error = obj["model"].get_string(car.model))) { return error; }
if((error = obj["year"].get_int64().get(car.year))) { return error; }
if((error = obj["tire_pressure"].get<std::vector<double>>().get(car.tire_pressure))) { return error; }
return car;
}
@@ -1099,68 +1058,75 @@ int main(void) {
### 2. Use `tag_invoke` for custom types (C++20)
A standard approach to provide support for deserialization is to add a `tag_invoke` function
in your own class:
In C++20, the standard introduced the notion of *customization point*.
A customization point is a function or function object that can be customized for different types. It allows library authors to provide default behavior while giving users the ability to override this behavior for specific types.
A tag_invoke function serves as a mechanism for customization points. It is not directly part of the C++ standard library but is often used in libraries that implement customization points.
The tag_invoke function is typically a generic function that takes a tag type and additional arguments.
The first argument is usually a tag type (often an empty struct) that uniquely identifies the customization point (e.g., deserialization of custom types in simdjson). Users or library providers can specialize tag_invoke for their types by defining it in the appropriate namespace, often inline namespace.
If your system supports C++20, we recommend that you adopt the `tag_invoke` approach
instead to deserialize custom types. It may prove to be considerably simpler. When
simdjson detects the necessary support, it sets the `SIMDJSON_SUPPORTS_DESERIALIZATION` macro
to 1, otherwise it is set to 0.
Consider a custom class `Car`:
```C++
/**
* A custom type that we want to parse.
*/
struct Car {
std::string make;
std::string model;
int year = 0;
std::vector<double> tire_pressure;
friend simdjson_result<Car>
tag_invoke(simdjson::deserialize_tag, std::type_identity<Car>, auto &val) {
simdjson::ondemand::object obj;
auto error = val.get_object().get(obj);
if (error) {
return error;
}
Car car{};
// Instead of repeatedly obj["something"], we iterate through the object
// which we expect to be faster.
for (auto field : obj) {
simdjson::ondemand::raw_json_string key;
error = field.key().get(key);
if (error) {
return error;
}
if (key == "make") {
error = field.value().get_string(car.make);
if (error) {
return error;
}
} else if (key == "model") {
error = field.value().get_string(car.model);
if (error) {
return error;
}
} else if (key == "year") {
error = field.value().get(car.year);
if (error) {
return error;
}
} else if (key == "tire_pressure") {
error = field.value().get(car.tire_pressure);
if (error) {
return error;
}
}
}
return car;
}
int year;
std::vector<float> tire_pressure;
};
```
Let us explain each argument of `tag_invoke`:
Observe how we defined the class to use types that simdjson does not directly support (`float`, `int`).
With C++20 support, the library grabs from the JSON the generic type (`double`, `int`) and then it
casts it automatically.
- `simdjson::deserialize_tag`: it is the tag for Customization Point Object (CPO)
- `std::type_identity<T>`: We specify the custom type we want here
- `simdjson::ondemand::value&` or `simdjson::ondemand::document&`: the value or document that we want to deserialize from; you may want to just specify `auto&` to capture both of them.
You may support deserializing directly from a JSON value or document to your own `Car` instance
by defining a single `tag_invoke` function:
```C++
namespace simdjson {
// This tag_invoke MUST be inside simdjson namespace
template <typename simdjson_value>
auto tag_invoke(deserialize_tag, simdjson_value &val, Car& car) {
ondemand::object obj;
auto error = val.get_object().get(obj);
if (error) {
return error;
}
if ((error = obj["make"].get_string(car.make))) {
return error;
}
if ((error = obj["model"].get_string(car.model))) {
return error;
}
if ((error = obj["year"].get(car.year))) {
return error;
}
if ((error = obj["tire_pressure"].get<std::vector<float>>().get(
car.tire_pressure))) {
return error;
}
return simdjson::SUCCESS;
}
} // namespace simdjson
```
Observe how we call `get<std::vector<float>>()` even though we never defined support
for `std::vector<float>` in the simdjson library: it is all automated thanks to C++20 concepts.
Importantly, the `tag_invoke` function must be inside the `simdjson` namespace.
Let us explain each argument of `tag_invoke` function.
- `simdjson::deserialize_tag`: it is the tag for Customization Point Object (CPO). You may often ignore this parameter. It is used to indicate that you mean to provide a deserialization function for simdjson.
- `var`: It receives automatically a `simdjson` value type (document, value, document_reference).
- The third parameter is an instance of the type that you want to support.
You can use it like so:
@@ -1179,11 +1145,6 @@ Observe how we first get an instance of `document` and then we cast.
You can also handle errors explicitly:
```cpp
simdjson::padded_string json =
R"( { "make": "Toyota", "model": "Camry", "year": 2018,
"tire_pressure": [ 40.1, 39.9 ] })"_padded;
simdjson::ondemand::parser parser;
simdjson::ondemand::document doc = parser.iterate(json);
Car c;
auto error = doc.get(c);
if(error) { std::cerr << simdjson::error_message(error); return false; }
@@ -1215,8 +1176,6 @@ explicit casting. The cast may throw an exception.
Once more, you can handle errors explicitly:
```cpp
simdjson::ondemand::parser parser;
simdjson::ondemand::document doc = parser.iterate(json);
for (auto val : doc) {
Car c;
auto error = val.get(c);
@@ -1239,25 +1198,13 @@ You can also use the custom `Car` type as part of a template such as `std::vecto
}
```
You can also extend support to arbitrary templates.
Suppose your custom types are `std::unique_ptr<any type>`,
you could add the following `tag_invoke`:
By default, we support a wide range of standard templates such as
`std::vector`, `std::list`, `std::set`, `std::stack`, `std:queue`,
`std:deque`, `std::priority_queue`, `std::unordered_set`, `std::multiset`,
`std::unordered_multiset`, `std::unique_ptr`, `std::shared_ptr`, `std::optional`,
etc. They are handled automatically.
```C++
namespace simdjson {
// This tag_invoke MUST be inside simdjson namespace since we can't make it a friend of unique_ptr
template <typename T>
auto tag_invoke(deserialize_tag, std::type_identity<std::unique_ptr<T>>, auto &val) {
return simdjson_result{std::make_unique<T>(val.template get<T>())};
}
} // namespace simdjson
```
You can also mark your `tag_invoke` function as `noexcept` and we will obey that, unlike the *template specialization* way.
You would use it like this:
E.g., you can recover an `std::unique_ptr<Car>` like so:
```C++
int main() {
auto const json = R"( { "make": "Toyota", "model": "Camry", "year": 2018,
@@ -1270,6 +1217,59 @@ int main() {
}
```
You may also conditionally fill in `std::optional` values.
```C++
padded_string json =
R"( { "car1": { "make": "Toyota", "model": "Camry", "year": 2018,
"tire_pressure": [ 40.1, 39.9 ] }
})"_padded;
ondemand::parser parser;
ondemand::document doc = parser.iterate(json);
std::optional<Car> car;
error = doc["key not found"].get<std::optional<Car>>().get(car);
// car has no value, error != simdjson::SUCCESS
error = doc["car1"].get<std::optional<Car>>().get(car);
// car has value Car{"Toyota", "Camry", 2018, {40.1f, 39.9f}}
// error is simdjson::SUCCESS
```
And so forth.
Advanced users may want to overwrite the defaults provided by the simdjson library.
Suppose for example that you want to construct an instance of `std::list<Car>`, but
you also want to filter out any car made by Toyota. You may provide your own
`tag_invoke` function:
```c++
namespace simdjson {
// suppose we want to filter out all Toyotas
template <typename simdjson_value>
auto tag_invoke(deserialize_tag, simdjson_value &val, std::list<Car>& car) {
ondemand::array arr;
auto error = val.get_array().get(arr);
if (error) {
return error;
}
for (auto v : arr) {
Car c;
if ((error = v.get<Car>().get(c))) {
return error;
}
if(c.make != "Toyota") {
car.push_back(c);
}
}
return simdjson::SUCCESS;
}
}
```
With this code, deserializing an `std::list<Car>` instance would capture only the cars
that are not made by Toyota.
Minifying JSON strings without parsing
----------------------
@@ -1284,6 +1284,7 @@ In some cases, you may have valid JSON strings that you do not wish to parse but
std::unique_ptr<char[]> buffer{new char[length]};
size_t new_length{}; // It will receive the minified length.
auto error = simdjson::minify(some_string, length, buffer.get(), new_length);
if(error) { std::cerr << simdjson::error_message(error); }
// The buffer variable now has "[1,2,3,4]" and new_length has value 9.
```
@@ -1481,7 +1482,7 @@ pair. You can retrieve the value with .get() without generating an exception, li
```c++
ondemand::document doc;
auto error = parser.iterate(json).get(doc);
if (error) { cerr << error << endl; exit(1); }
if(error) { std::cerr << simdjson::error_message(error); exit(1); }
```
When there is no error, the error code `simdjson::SUCCESS`is returned: it evaluates as false as a Boolean.
@@ -1512,7 +1513,7 @@ bool simple_error_example() {
auto error = doc["bad number"].get_double().get(x);
// returns "simdjson::NUMBER_ERROR"
if (error != SUCCESS) {
std::cout << error << std::endl;
std::cerr << simdjson::error_message(error) << std::endl;
return false;
}
std::cout << "Got " << x << std::endl;
@@ -1565,7 +1566,6 @@ We can write a "quick start" example where we attempt to parse the following JSO
Our program loads the file, selects value corresponding to key `"search_metadata"` which expected to be an object, and then
it selects the key `"count"` within that object.
```C++
#include <iostream>
#include "simdjson.h"
@@ -1573,10 +1573,10 @@ it selects the key `"count"` within that object.
int main(void) {
simdjson::ondemand::parser parser;
auto error = padded_string::load("twitter.json").get(json);
if (error) { std::cerr << error << std::endl; return EXIT_FAILURE; }
if (error) { std::cerr << simdjson::error_message(error) << std::endl; return EXIT_FAILURE; }
simdjson::ondemand::document tweets;
error = parser.iterate(json).get(tweets);
if (error) { std::cerr << error << std::endl; return EXIT_FAILURE; }
if (error) { std::cerr << simdjson::error_message(error) << std::endl; return EXIT_FAILURE; }
simdjson::ondemand::value res;
error = tweets["search_metadata"]["count"].get(res);
if (error != SUCCESS) {
@@ -1607,12 +1607,12 @@ int main(void) {
simdjson::ondemand::document tweets;
padded_string json;
auto error = padded_string::load("twitter.json").get(json);
if (error) { std::cerr << error << std::endl; return EXIT_FAILURE; }
if (error) { std::cerr << simdjson::error_message(error) << std::endl; return EXIT_FAILURE; }
error = parser.iterate(json).get(tweets);
if (error) { std::cerr << error << std::endl; return EXIT_FAILURE; }
if (error) { std::cerr << simdjson::error_message(error) << std::endl; return EXIT_FAILURE; }
uint64_t identifier;
error = tweets["statuses"].at(0)["id"].get(identifier);
if (error) { std::cerr << error << std::endl; return EXIT_FAILURE; }
if (error) { std::cerr << simdjson::error_message(error) << std::endl; return EXIT_FAILURE; }
std::cout << identifier << std::endl;
}
```
@@ -1636,40 +1636,40 @@ bool parse() {
// Iterating through an array of objects
auto error = parser.iterate(cars_json).get(doc);
if (error) { std::cerr << error << std::endl; return false; }
if (error) { std::cerr << simdjson::error_message(error) << std::endl; return false; }
ondemand::array cars; // invalid until the get() succeeds
error = doc.get_array().get(cars);
for (auto car_value : cars) {
ondemand::object car; // invalid until the get() succeeds
error = car_value.get_object().get(car);
if (error) { std::cerr << error << std::endl; return false; }
if (error) { std::cerr << simdjson::error_message(error) << std::endl; return false; }
// Accessing a field by name
std::string_view make;
std::string_view model;
error = car["make"].get(make);
if (error) { std::cerr << error << std::endl; return false; }
if (error) { std::cerr << simdjson::error_message(error) << std::endl; return false; }
error = car["model"].get(model);
if (error) { std::cerr << error << std::endl; return false; }
if (error) { std::cerr << simdjson::error_message(error) << std::endl; return false; }
cout << "Make/Model: " << make << "/" << model << endl;
// Casting a JSON element to an integer
uint64_t year{};
error = car["year"].get(year);
if (error) { std::cerr << error << std::endl; return false; }
if (error) { std::cerr << simdjson::error_message(error) << std::endl; return false; }
cout << "- This car is " << 2020 - year << " years old." << endl;
// Iterating through an array of floats
double total_tire_pressure = 0;
ondemand::array pressures;
error = car["tire_pressure"].get_array().get(pressures);
if (error) { std::cerr << error << std::endl; return false; }
if (error) { std::cerr << simdjson::error_message(error) << std::endl; return false; }
for (auto tire_pressure_value : pressures) {
double tire_pressure;
error = tire_pressure_value.get_double().get(tire_pressure);
if (error) { std::cerr << error << std::endl; return false; }
if (error) { std::cerr << simdjson::error_message(error) << std::endl; return false; }
total_tire_pressure += tire_pressure;
}
cout << "- Average tire pressure: " << (total_tire_pressure / 4) << endl;
@@ -1791,7 +1791,7 @@ auto doc = parser.iterate(broken_json);
int64_t i;
auto error = doc["integer"].get_int64().get(i); // Expect to get integer from "integer" key, but get TAPE_ERROR
if (error) {
std::cout << error << std::endl; // Prints TAPE_ERROR error message
std::cerr << simdjson::error_message(error) << std::endl; // Prints TAPE_ERROR error message
// Recover a pointer to the location of the first error:
const char * ptr;
doc.current_location().get(ptr);
@@ -1828,7 +1828,7 @@ auto doc = parser.iterate(json);
int64_t i;
auto error = doc["integer"].get_int64().get(i); // Incorrect call on array, INCORRECT_TYPE error
if (error) {
std::cout << error << std::endl; // Prints INCORRECT_TYPE error message
std::cerr << simdjson::error_message(error) << std::endl; // Prints INCORRECT_TYPE error message
std::cout<< doc.current_location() << std::endl; // Prints "[1,2,3] " (location of INCORRECT_TYPE error)
}
```
@@ -2001,7 +2001,7 @@ for (auto doc: stream) {
error = doc.at_pointer("/4").get(val);
// error == simdjson::CAPACITY
if (error) {
std::cerr << error << std::endl;
std::cerr << simdjson::error_message(error) << std::endl;
// We left 293 bytes unprocessed at the tail end of the input.
std::cout << " unprocessed bytes at the end: " << stream.truncated_bytes() << std::endl;
break;
+109
View File
@@ -25,6 +25,7 @@ Contents
- [Use cases](#use-cases)
- [Tracking your position](#tracking-your-position)
- [Incomplete streams](#incomplete-streams)
- [C++20 features](#c20-features)
Motivation
-----------
@@ -288,3 +289,111 @@ string
object
array
```
C++20 features
--------------------
In C++20, the standard introduced the notion of *customization point*.
A customization point is a function or function object that can be customized for different types. It allows library authors to provide default behavior while giving users the ability to override this behavior for specific types.
A tag_invoke function serves as a mechanism for customization points. It is not directly part of the C++ standard library but is often used in libraries that implement customization points.
The tag_invoke function is typically a generic function that takes a tag type and additional arguments.
The first argument is usually a tag type (often an empty struct) that uniquely identifies the customization point (e.g., deserialization of custom types in simdjson). Users or library providers can specialize tag_invoke for their types by defining it in the appropriate namespace, often inline namespace.
You can deserialize you own data structures conveniently if your system supports C++20.
When it is the case, the macro `SIMDJSON_SUPPORTS_DESERIALIZATION` will be set to 1 by
the simdjson library.
Consider a custom class `Car`:
```C++
struct Car {
std::string make;
std::string model;
int year;
std::vector<float> tire_pressure;
};
```
You may support deserializing directly from a JSON value or document to your own `Car` instance
by defining a single `tag_invoke` function:
```C++
namespace simdjson {
// This tag_invoke MUST be inside simdjson namespace
template <typename simdjson_value>
auto tag_invoke(deserialize_tag, simdjson_value &val, Car& car) {
ondemand::object obj;
auto error = val.get_object().get(obj);
if (error) {
return error;
}
if ((error = obj["make"].get_string(car.make))) {
return error;
}
if ((error = obj["model"].get_string(car.model))) {
return error;
}
if ((error = obj["year"].get(car.year))) {
return error;
}
if ((error = obj["tire_pressure"].get<std::vector<float>>().get(
car.tire_pressure))) {
return error;
}
return simdjson::SUCCESS;
}
} // namespace simdjson
```
Importantly, the `tag_invoke` function must be inside the `simdjson` namespace.
Let us explain each argument of `tag_invoke` function.
- `simdjson::deserialize_tag`: it is the tag for Customization Point Object (CPO). You may often ignore this parameter. It is used to indicate that you mean to provide a deserialization function for simdjson.
- `var`: It receives automatically a `simdjson` value type (document, value, document_reference).
- The third parameter is an instance of the type that you want to support.
Please see our main documentation (`basics.md`) under
"Use `tag_invoke` for custom types (C++20)" for details about
tag_invoke functions.
Given a stream of JSON documents, you can add them to a data struture
such as a `std::vector<Car>` like so if you support exceptions:
```C++
padded_string json =
R"( { "make": "Toyota", "model": "Camry", "year": 2018,
"tire_pressure": [ 40.1, 39.9 ] }
{ "make": "Kia", "model": "Soul", "year": 2012,
"tire_pressure": [ 30.1, 31.0 ] }
{ "make": "Toyota", "model": "Tercel", "year": 1999,
"tire_pressure": [ 29.8, 30.0 ] }
)"_padded;
ondemand::parser parser;
ondemand::document_stream stream;
[[maybe_unused]] auto error = parser.iterate_many(json).get(stream);
std::vector<Car> cars;
for(auto doc : stream) {
cars.push_back((Car)doc); // an exception may be thrown
}
```
Otherwise you may use this longer version for explicit handling of errors:
```C++
std::vector<Car> cars;
for(auto doc : stream) {
Car c;
if ((error = doc.get<Car>().get(c))) {
std::cerr << simdjson::error_message(error); << std::endl;
return EXIT_FAILURE;
}
cars.push_back(c);
}
```
-1
View File
@@ -53,5 +53,4 @@
#include "simdjson/dom.h"
#include "simdjson/ondemand.h"
#endif // SIMDJSON_H
+1
View File
@@ -9,6 +9,7 @@
#include "simdjson/compiler_check.h"
#include "simdjson/error.h"
#include "simdjson/portability.h"
#include "simdjson/concepts.h"
/**
* @brief The top level simdjson namespace, containing everything the library provides.
+113
View File
@@ -0,0 +1,113 @@
#ifndef SIMDJSON_CONCEPTS_H
#define SIMDJSON_CONCEPTS_H
#if SIMDJSON_SUPPORTS_DESERIALIZATION
#include <concepts>
#include <type_traits>
namespace simdjson {
namespace concepts {
namespace details {
#define SIMDJSON_IMPL_CONCEPT(name, method) \
template <typename T> \
concept supports_##name = !std::is_const_v<T> && requires { \
typename std::remove_cvref_t<T>::value_type; \
requires requires(typename std::remove_cvref_t<T>::value_type &&val, \
T obj) { \
obj.method(std::move(val)); \
requires !requires { obj = std::move(val); }; \
}; \
};
SIMDJSON_IMPL_CONCEPT(emplace_back, emplace_back);
SIMDJSON_IMPL_CONCEPT(emplace, emplace);
SIMDJSON_IMPL_CONCEPT(push_back, push_back);
SIMDJSON_IMPL_CONCEPT(add, add);
SIMDJSON_IMPL_CONCEPT(push, push);
SIMDJSON_IMPL_CONCEPT(append, append);
SIMDJSON_IMPL_CONCEPT(insert, insert);
SIMDJSON_IMPL_CONCEPT(op_append, operator+=);
#undef SIMDJSON_IMPL_CONCEPT
} // namespace details
/// Check if T is a container that we can append to, including:
/// std::vector, std::deque, std::list, std::string, ...
template <typename T>
concept appendable_containers =
details::supports_emplace_back<T> || details::supports_emplace<T> ||
details::supports_push_back<T> || details::supports_push<T> ||
details::supports_add<T> || details::supports_append<T> ||
details::supports_insert<T>;
/// Insert into the container however possible
template <appendable_containers T, typename... Args>
constexpr decltype(auto) emplace_one(T &vec, Args &&...args) {
if constexpr (details::supports_emplace_back<T>) {
return vec.emplace_back(std::forward<Args>(args)...);
} else if constexpr (details::supports_emplace<T>) {
return vec.emplace(std::forward<Args>(args)...);
} else if constexpr (details::supports_push_back<T>) {
return vec.push_back(std::forward<Args>(args)...);
} else if constexpr (details::supports_push<T>) {
return vec.push(std::forward<Args>(args)...);
} else if constexpr (details::supports_add<T>) {
return vec.add(std::forward<Args>(args)...);
} else if constexpr (details::supports_append<T>) {
return vec.append(std::forward<Args>(args)...);
} else if constexpr (details::supports_insert<T>) {
return vec.insert(std::forward<Args>(args)...);
} else if constexpr (details::supports_op_append<T> && sizeof...(Args) == 1) {
return vec.operator+=(std::forward<Args>(args)...);
} else {
static_assert(!sizeof(T *),
"We don't know how to add things to this container");
}
}
/// This checks if the container will return a reference to the newly added
/// element after an insert which for example `std::vector::emplace_back` does
/// since C++17; this will allow some optimizations.
template <typename T>
concept returns_reference = appendable_containers<T> && requires {
typename std::remove_cvref_t<T>::reference;
requires requires(typename std::remove_cvref_t<T>::value_type &&val, T obj) {
{
emplace_one(obj, std::move(val))
} -> std::same_as<typename std::remove_cvref_t<T>::reference>;
};
};
template <typename T>
concept smart_pointer = requires(std::remove_cvref_t<T> ptr) {
// Check if T has a member type named element_type
typename std::remove_cvref_t<T>::element_type;
// Check if T has a get() member function
{
ptr.get()
} -> std::same_as<typename std::remove_cvref_t<T>::element_type *>;
// Check if T can be dereferenced
{ *ptr } -> std::same_as<typename std::remove_cvref_t<T>::element_type &>;
};
template <typename T>
concept optional_type = requires(std::remove_cvref_t<T> obj) {
typename std::remove_cvref_t<T>::value_type;
{ obj.value() } -> std::same_as<typename std::remove_cvref_t<T>::value_type&>;
requires requires(typename std::remove_cvref_t<T>::value_type &&val) {
obj.emplace(std::move(val));
obj = std::move(val);
{
obj.value_or(val)
} -> std::convertible_to<typename std::remove_cvref_t<T>::value_type>;
};
{ static_cast<bool>(obj) } -> std::same_as<bool>; // convertible to bool
};
} // namespace concepts
} // namespace simdjson
#endif // SIMDJSON_SUPPORTS_DESERIALIZATION
#endif // SIMDJSON_CONCEPTS_H
-1
View File
@@ -16,5 +16,4 @@
#include "simdjson/internal/jsoncharutils_tables.h"
#include "simdjson/internal/numberparsing_tables.h"
#include "simdjson/internal/simdprune_tables.h"
#endif // SIMDJSON_GENERIC_DEPENDENCIES_H
@@ -90,6 +90,7 @@ concept nothrow_deserializable = nothrow_custom_deserializable<T, ValT> || is_bu
inline constexpr struct deserialize_tag {
using value_type = SIMDJSON_IMPLEMENTATION::ondemand::value;
using document_type = SIMDJSON_IMPLEMENTATION::ondemand::document;
using document_reference_type = SIMDJSON_IMPLEMENTATION::ondemand::document_reference;
// Customization Point for value
template <typename T>
@@ -105,6 +106,14 @@ inline constexpr struct deserialize_tag {
return tag_invoke(*this, object, output);
}
// Customization Point for document reference
template <typename T>
requires custom_deserializable<T, document_reference_type>
[[nodiscard]] constexpr /* error_code */ auto operator()(document_reference_type &object, T& output) const noexcept(nothrow_custom_deserializable<T, document_reference_type>) {
return tag_invoke(*this, object, output);
}
} deserialize{};
} // namespace simdjson
@@ -816,6 +816,26 @@ simdjson_inline simdjson_result<bool> simdjson_result<SIMDJSON_IMPLEMENTATION::o
if (error()) { return error(); }
return first.is_null();
}
template<typename T>
simdjson_inline simdjson_result<T> simdjson_result<SIMDJSON_IMPLEMENTATION::ondemand::document_reference>::get() & noexcept {
if (error()) { return error(); }
return first.get<T>();
}
template<typename T>
simdjson_inline simdjson_result<T> simdjson_result<SIMDJSON_IMPLEMENTATION::ondemand::document_reference>::get() && noexcept {
if (error()) { return error(); }
return std::forward<SIMDJSON_IMPLEMENTATION::ondemand::document_reference>(first).get<T>();
}
template <class T>
simdjson_inline error_code simdjson_result<SIMDJSON_IMPLEMENTATION::ondemand::document_reference>::get(T &out) & noexcept {
if (error()) { return error(); }
return first.get<T>(out);
}
template <class T>
simdjson_inline error_code simdjson_result<SIMDJSON_IMPLEMENTATION::ondemand::document_reference>::get(T &out) && noexcept {
if (error()) { return error(); }
return std::forward<SIMDJSON_IMPLEMENTATION::ondemand::document_reference>(first).get<T>(out);
}
simdjson_inline simdjson_result<SIMDJSON_IMPLEMENTATION::ondemand::json_type> simdjson_result<SIMDJSON_IMPLEMENTATION::ondemand::document_reference>::type() noexcept {
if (error()) { return error(); }
return first.type();
@@ -828,6 +848,18 @@ simdjson_inline simdjson_result<bool> simdjson_result<SIMDJSON_IMPLEMENTATION::o
if (error()) { return error(); }
return first.is_string();
}
template <>
simdjson_inline error_code simdjson_result<SIMDJSON_IMPLEMENTATION::ondemand::document_reference>::get(SIMDJSON_IMPLEMENTATION::ondemand::document_reference &out) & noexcept {
if (error()) { return error(); }
out = first;
return SUCCESS;
}
template <>
simdjson_inline error_code simdjson_result<SIMDJSON_IMPLEMENTATION::ondemand::document_reference>::get(SIMDJSON_IMPLEMENTATION::ondemand::document_reference &out) && noexcept {
if (error()) { return error(); }
out = first;
return SUCCESS;
}
simdjson_inline simdjson_result<bool> simdjson_result<SIMDJSON_IMPLEMENTATION::ondemand::document_reference>::is_negative() noexcept {
if (error()) { return error(); }
return first.is_negative();
@@ -845,10 +877,12 @@ simdjson_inline simdjson_result<SIMDJSON_IMPLEMENTATION::ondemand::number> simdj
return first.get_number();
}
#if SIMDJSON_EXCEPTIONS
template <class T, typename std::enable_if<std::is_same<T, SIMDJSON_IMPLEMENTATION::ondemand::document_reference>::value == false>::type>
template <class T>
simdjson_inline simdjson_result<SIMDJSON_IMPLEMENTATION::ondemand::document_reference>::operator T() noexcept(false) {
static_assert(std::is_same<T, SIMDJSON_IMPLEMENTATION::ondemand::document_reference>::value == false, "You should not call get<T> when T is a document");
static_assert(std::is_same<T, SIMDJSON_IMPLEMENTATION::ondemand::document>::value == false, "You should not call get<T> when T is a document");
if (error()) { throw simdjson_error(error()); }
return first;
return first.get<T>();
}
simdjson_inline simdjson_result<SIMDJSON_IMPLEMENTATION::ondemand::document_reference>::operator SIMDJSON_IMPLEMENTATION::ondemand::array() & noexcept(false) {
if (error()) { throw simdjson_error(error()); }
+71 -2
View File
@@ -756,7 +756,70 @@ public:
simdjson_inline simdjson_result<value> get_value() noexcept;
simdjson_inline simdjson_result<bool> is_null() noexcept;
template<typename T> simdjson_inline simdjson_result<T> get() & noexcept;
template <typename T>
simdjson_inline simdjson_result<T> get() &
#if SIMDJSON_SUPPORTS_DESERIALIZATION
noexcept(custom_deserializable<T, document> ? nothrow_custom_deserializable<T, document> : true)
#else
noexcept
#endif
{
static_assert(std::is_default_constructible<T>::value, "Cannot initialize the specified type.");
T out{};
SIMDJSON_TRY(get<T>(out));
return out;
}
template<typename T>
simdjson_inline simdjson_result<T> get() &&
#if SIMDJSON_SUPPORTS_DESERIALIZATION
noexcept(custom_deserializable<T, document> ? nothrow_custom_deserializable<T, document> : true)
#else
noexcept
#endif
{
static_assert(!std::is_same<T, array>::value && !std::is_same<T, object>::value, "You should never hold either an ondemand::array or ondemand::object without a corresponding ondemand::document_reference being alive; that would be Undefined Behaviour.");
return static_cast<document&>(*this).get<T>();
}
/**
* Get this value as the given type.
*
* Supported types: object, array, raw_json_string, string_view, uint64_t, int64_t, double, bool, value
*
* Be mindful that the document instance must remain in scope while you are accessing object, array and value instances.
*
* @param out This is set to a value of the given type, parsed from the JSON. If there is an error, this may not be initialized.
* @returns INCORRECT_TYPE If the JSON value is not an object.
* @returns SUCCESS If the parse succeeded and the out parameter was set to the value.
*/
template<typename T>
simdjson_inline error_code get(T &out) &
#if SIMDJSON_SUPPORTS_DESERIALIZATION
noexcept(custom_deserializable<T, document> ? nothrow_custom_deserializable<T, document_reference> : true)
#else
noexcept
#endif
{
#if SIMDJSON_SUPPORTS_DESERIALIZATION
if constexpr (custom_deserializable<T, document_reference>) {
return deserialize(*this, out);
} else {
#endif // SIMDJSON_SUPPORTS_DESERIALIZATION
// Unless the simdjson library or the user provides an inline implementation, calling this method should
// immediately fail.
static_assert(!sizeof(T), "The get method with given type is not implemented by the simdjson library. "
"The supported types are ondemand::object, ondemand::array, raw_json_string, std::string_view, uint64_t, "
"int64_t, double, and bool. We recommend you use get_double(), get_bool(), get_uint64(), get_int64(), "
" get_object(), get_array(), get_raw_json_string(), or get_string() instead of the get template."
" You may also add support for custom types, see our documentation.");
static_cast<void>(out); // to get rid of unused errors
return UNINITIALIZED;
#if SIMDJSON_SUPPORTS_DESERIALIZATION
}
#endif
}
/** @overload template<typename T> error_code get(T &out) & noexcept */
template<typename T> simdjson_inline error_code get(T &out) && noexcept;
simdjson_inline simdjson_result<std::string_view> raw_json() noexcept;
simdjson_inline operator document&() const noexcept;
#if SIMDJSON_EXCEPTIONS
@@ -908,8 +971,14 @@ public:
simdjson_inline simdjson_result<bool> get_bool() noexcept;
simdjson_inline simdjson_result<SIMDJSON_IMPLEMENTATION::ondemand::value> get_value() noexcept;
simdjson_inline simdjson_result<bool> is_null() noexcept;
template<typename T> simdjson_inline simdjson_result<T> get() & noexcept;
template<typename T> simdjson_inline simdjson_result<T> get() && noexcept;
template<typename T> simdjson_inline error_code get(T &out) & noexcept;
template<typename T> simdjson_inline error_code get(T &out) && noexcept;
#if SIMDJSON_EXCEPTIONS
template <class T, typename std::enable_if<std::is_same<T, SIMDJSON_IMPLEMENTATION::ondemand::document_reference>::value == false>::type>
template <class T>
explicit simdjson_inline operator T() noexcept(false);
simdjson_inline operator SIMDJSON_IMPLEMENTATION::ondemand::array() & noexcept(false);
simdjson_inline operator SIMDJSON_IMPLEMENTATION::ondemand::object() & noexcept(false);
@@ -152,7 +152,6 @@ simdjson_inline document_stream::iterator::iterator(document_stream* _stream, bo
}
simdjson_inline simdjson_result<ondemand::document_reference> document_stream::iterator::operator*() noexcept {
//if(stream->error) { return stream->error; }
return simdjson_result<ondemand::document_reference>(stream->doc, stream->error);
}
@@ -3,24 +3,23 @@
#ifndef SIMDJSON_ONDEMAND_DESERIALIZE_H
#ifndef SIMDJSON_CONDITIONAL_INCLUDE
#define SIMDJSON_ONDEMAND_DESERIALIZE_H
#include "simdjson/generic/ondemand/base.h"
#include "simdjson/generic/ondemand/array.h"
#include "simdjson/generic/ondemand/base.h"
#endif // SIMDJSON_CONDITIONAL_INCLUDE
#include <concepts>
#include <limits>
#include <list>
#include <memory>
#include <string>
#include <vector>
namespace simdjson {
template <typename T>
constexpr bool require_custom_serialization = false;
//////////////////////////////
// Number deserialization
//////////////////////////////
template <std::unsigned_integral T>
requires(!require_custom_serialization<T>)
error_code tag_invoke(deserialize_tag, auto &val, T &out) noexcept {
using limits = std::numeric_limits<T>;
@@ -34,6 +33,7 @@ error_code tag_invoke(deserialize_tag, auto &val, T &out) noexcept {
}
template <std::floating_point T>
requires(!require_custom_serialization<T>)
error_code tag_invoke(deserialize_tag, auto &val, T &out) noexcept {
double x;
SIMDJSON_TRY(val.get_double().get(x));
@@ -42,6 +42,7 @@ error_code tag_invoke(deserialize_tag, auto &val, T &out) noexcept {
}
template <std::signed_integral T>
requires(!require_custom_serialization<T>)
error_code tag_invoke(deserialize_tag, auto &val, T &out) noexcept {
using limits = std::numeric_limits<T>;
@@ -54,66 +55,6 @@ error_code tag_invoke(deserialize_tag, auto &val, T &out) noexcept {
return SUCCESS;
}
//////////////////////////////
// STL list deserialization
//////////////////////////////
template <typename T, typename AllocT, typename ValT>
error_code tag_invoke(deserialize_tag, ValT &val,
std::list<T, AllocT> &out) noexcept(false) {
// For better error messages, don't use these as constraints on
// the tag_invoke CPO.
static_assert(
deserializable<T, ValT>,
"The specified type inside the list must itself be deserializable");
static_assert(
std::is_default_constructible_v<T>,
"The specified type inside the list must default constructible.");
SIMDJSON_IMPLEMENTATION::ondemand::array arr;
SIMDJSON_TRY(val.get_array().get(arr));
for (auto v : arr) {
if (auto const err = v.get<T>().get(out.emplace_back()); err) {
// If an error occurs, the empty element that we just inserted gets
// removed. We're not using a temp variable because if T is a heavy type,
// we want the valid path to be the fast path and the slow path be the
// path that has errors in it.
static_cast<void>(out.pop_back());
return err;
}
}
return SUCCESS;
}
//////////////////////////////
// std::string deserialization
//////////////////////////////
template <typename CharT,
typename TraitsT,
typename AllocT,
typename ValT>
error_code tag_invoke(deserialize_tag, ValT &val, std::basic_string<CharT, TraitsT, AllocT> &out) noexcept(false) {
using string_type = std::basic_string<CharT, TraitsT, AllocT>;
if constexpr (std::same_as<string_type, string_type>) {
SIMDJSON_TRY(val.get_string(out));
} else {
// todo: optimize performance
std::string tmp;
SIMDJSON_TRY(val.get_string(tmp));
for (auto const ch : tmp) {
out.push_back(ch);
}
}
return SUCCESS;
}
//////////////////////////////
// STL Vector deserialization
//////////////////////////////
/**
* STL containers have several constructors including one that takes a single
* size argument. Thus, some compilers (Visual Studio) will not be able to
@@ -121,75 +62,104 @@ error_code tag_invoke(deserialize_tag, ValT &val, std::basic_string<CharT, Trait
* explicitly specify the type of the container as needed: e.g.,
* doc.get<std::vector<int>>().
*/
template <typename T, typename AllocT, typename ValT>
error_code tag_invoke(deserialize_tag, ValT &val,
std::vector<T, AllocT> &out) noexcept(false) {
// For better error messages, don't use these as constraints on
// the tag_invoke CPO.
template <concepts::appendable_containers T, typename ValT>
requires(!require_custom_serialization<T>)
error_code tag_invoke(deserialize_tag, ValT &val, T &out) noexcept(false) {
using value_type = typename std::remove_cvref_t<T>::value_type;
static_assert(
deserializable<T, ValT>,
"The specified type inside the vector must itself be deserializable");
deserializable<value_type, ValT>,
"The specified type inside the container must itself be deserializable");
static_assert(
std::is_default_constructible_v<T>,
"The specified type inside the vector must default constructible.");
std::is_default_constructible_v<value_type>,
"The specified type inside the container must default constructible.");
SIMDJSON_IMPLEMENTATION::ondemand::array arr;
SIMDJSON_TRY(val.get_array().get(arr));
for (auto v : arr) {
if (auto const err = v.get<T>().get(out.emplace_back()); err) {
// If an error occurs, the empty element that we just inserted gets
// removed. We're not using a temp variable because if T is a heavy type,
// we want the valid path to be the fast path and the slow path be the
// path that has errors in it.
static_cast<void>(out.pop_back());
return err;
if constexpr (concepts::returns_reference<T>) {
if (auto const err = v.get<value_type>().get(concepts::emplace_one(out));
err) {
// If an error occurs, the empty element that we just inserted gets
// removed. We're not using a temp variable because if T is a heavy
// type, we want the valid path to be the fast path and the slow path be
// the path that has errors in it.
if constexpr (requires { out.pop_back(); }) {
static_cast<void>(out.pop_back());
}
return err;
}
} else {
value_type temp;
if (auto const err = v.get<value_type>().get(temp); err) {
return err;
}
concepts::emplace_one(out, std::move(temp));
}
}
return SUCCESS;
}
//////////////////////////////
// std::unique_ptr deserialization
//////////////////////////////
/**
* This CPO (Customization Point Object) will help deserialize into
* `unique_ptr`s.
* smart pointers.
*
* If constructing T is nothrow, this conversion should be nothrow as well since
* we return MEMALLOC if we're not able to allocate memory instead of throwing
* the the error message.
* the error message.
*
* @tparam T The type inside the unique_ptr
* @tparam Deleter The Deleter of the unique_ptr
* @tparam T The type inside the smart pointer
* @tparam ValT document/value type
* @param val document/value
* @param out output unique_ptr
* @param out a reference to the smart pointer
* @return status of the conversion
*/
template <typename T, typename Deleter, typename ValT>
error_code tag_invoke(deserialize_tag, ValT &val,
std::unique_ptr<T, Deleter>
&out) noexcept(nothrow_deserializable<T, ValT>) {
template <concepts::smart_pointer T, typename ValT>
requires(!require_custom_serialization<T>)
error_code tag_invoke(deserialize_tag, ValT &val, T &out) noexcept(nothrow_deserializable<typename std::remove_cvref_t<T>::element_type, ValT>) {
using element_type = typename std::remove_cvref_t<T>::element_type;
// For better error messages, don't use these as constraints on
// the tag_invoke CPO.
static_assert(
deserializable<T, ValT>,
deserializable<element_type, ValT>,
"The specified type inside the unique_ptr must itself be deserializable");
static_assert(
std::is_default_constructible_v<T>,
std::is_default_constructible_v<element_type>,
"The specified type inside the unique_ptr must default constructible.");
auto ptr = new (std::nothrow) T();
auto ptr = new (std::nothrow) element_type();
if (ptr == nullptr) {
return MEMALLOC;
}
SIMDJSON_TRY(val.template get<T>(*ptr));
SIMDJSON_TRY(val.template get<element_type>(*ptr));
out.reset(ptr);
return SUCCESS;
}
/**
* This CPO (Customization Point Object) will help deserialize into optional types.
*/
template <concepts::optional_type T, typename ValT>
requires(!require_custom_serialization<T>)
error_code tag_invoke(deserialize_tag, ValT &val, T &out) noexcept(nothrow_deserializable<typename std::remove_cvref_t<T>::value_type, ValT>) {
using value_type = typename std::remove_cvref_t<T>::value_type;
static_assert(
deserializable<value_type, ValT>,
"The specified type inside the unique_ptr must itself be deserializable");
static_assert(
std::is_default_constructible_v<value_type>,
"The specified type inside the unique_ptr must default constructible.");
if (!out) {
out.emplace();
}
SIMDJSON_TRY(val.template get<value_type>(out.value()));
return SUCCESS;
}
} // namespace simdjson
#endif // SIMDJSON_ONDEMAND_DESERIALIZE_H
+117 -2
View File
@@ -1,4 +1,4 @@
/* auto-generated on 2024-07-15 08:51:57 -0400. Do not edit! */
/* auto-generated on 2024-09-30 10:57:33 -0400. Do not edit! */
/* including simdjson.cpp: */
/* begin file simdjson.cpp */
#define SIMDJSON_SRC_SIMDJSON_CPP
@@ -2670,6 +2670,122 @@ inline const std::string error_message(int error) noexcept;
#endif // SIMDJSON_ERROR_H
/* end file simdjson/error.h */
/* skipped duplicate #include "simdjson/portability.h" */
/* including simdjson/concepts.h: #include "simdjson/concepts.h" */
/* begin file simdjson/concepts.h */
#ifndef SIMDJSON_CONCEPTS_H
#define SIMDJSON_CONCEPTS_H
#if SIMDJSON_SUPPORTS_DESERIALIZATION
#include <concepts>
#include <type_traits>
namespace simdjson {
namespace concepts {
namespace details {
#define SIMDJSON_IMPL_CONCEPT(name, method) \
template <typename T> \
concept supports_##name = !std::is_const_v<T> && requires { \
typename std::remove_cvref_t<T>::value_type; \
requires requires(typename std::remove_cvref_t<T>::value_type &&val, \
T obj) { \
obj.method(std::move(val)); \
requires !requires { obj = std::move(val); }; \
}; \
};
SIMDJSON_IMPL_CONCEPT(emplace_back, emplace_back);
SIMDJSON_IMPL_CONCEPT(emplace, emplace);
SIMDJSON_IMPL_CONCEPT(push_back, push_back);
SIMDJSON_IMPL_CONCEPT(add, add);
SIMDJSON_IMPL_CONCEPT(push, push);
SIMDJSON_IMPL_CONCEPT(append, append);
SIMDJSON_IMPL_CONCEPT(insert, insert);
SIMDJSON_IMPL_CONCEPT(op_append, operator+=);
#undef SIMDJSON_IMPL_CONCEPT
} // namespace details
/// Check if T is a container that we can append to, including:
/// std::vector, std::deque, std::list, std::string, ...
template <typename T>
concept appendable_containers =
details::supports_emplace_back<T> || details::supports_emplace<T> ||
details::supports_push_back<T> || details::supports_push<T> ||
details::supports_add<T> || details::supports_append<T> ||
details::supports_insert<T>;
/// Insert into the container however possible
template <appendable_containers T, typename... Args>
constexpr decltype(auto) emplace_one(T &vec, Args &&...args) {
if constexpr (details::supports_emplace_back<T>) {
return vec.emplace_back(std::forward<Args>(args)...);
} else if constexpr (details::supports_emplace<T>) {
return vec.emplace(std::forward<Args>(args)...);
} else if constexpr (details::supports_push_back<T>) {
return vec.push_back(std::forward<Args>(args)...);
} else if constexpr (details::supports_push<T>) {
return vec.push(std::forward<Args>(args)...);
} else if constexpr (details::supports_add<T>) {
return vec.add(std::forward<Args>(args)...);
} else if constexpr (details::supports_append<T>) {
return vec.append(std::forward<Args>(args)...);
} else if constexpr (details::supports_insert<T>) {
return vec.insert(std::forward<Args>(args)...);
} else if constexpr (details::supports_op_append<T> && sizeof...(Args) == 1) {
return vec.operator+=(std::forward<Args>(args)...);
} else {
static_assert(!sizeof(T *),
"We don't know how to add things to this container");
}
}
/// This checks if the container will return a reference to the newly added
/// element after an insert which for example `std::vector::emplace_back` does
/// since C++17; this will allow some optimizations.
template <typename T>
concept returns_reference = appendable_containers<T> && requires {
typename std::remove_cvref_t<T>::reference;
requires requires(typename std::remove_cvref_t<T>::value_type &&val, T obj) {
{
emplace_one(obj, std::move(val))
} -> std::same_as<typename std::remove_cvref_t<T>::reference>;
};
};
template <typename T>
concept smart_pointer = requires(std::remove_cvref_t<T> ptr) {
// Check if T has a member type named element_type
typename std::remove_cvref_t<T>::element_type;
// Check if T has a get() member function
{
ptr.get()
} -> std::same_as<typename std::remove_cvref_t<T>::element_type *>;
// Check if T can be dereferenced
{ *ptr } -> std::same_as<typename std::remove_cvref_t<T>::element_type &>;
};
template <typename T>
concept optional_type = requires(std::remove_cvref_t<T> obj) {
typename std::remove_cvref_t<T>::value_type;
{ obj.value() } -> std::same_as<typename std::remove_cvref_t<T>::value_type&>;
requires requires(typename std::remove_cvref_t<T>::value_type &&val) {
obj.emplace(std::move(val));
obj = std::move(val);
{
obj.value_or(val)
} -> std::convertible_to<typename std::remove_cvref_t<T>::value_type>;
};
{ static_cast<bool>(obj) } -> std::same_as<bool>; // convertible to bool
};
} // namespace concepts
} // namespace simdjson
#endif // SIMDJSON_SUPPORTS_DESERIALIZATION
#endif // SIMDJSON_CONCEPTS_H
/* end file simdjson/concepts.h */
/**
* @brief The top level simdjson namespace, containing everything the library provides.
@@ -6455,7 +6571,6 @@ extern SIMDJSON_DLLIMPORTEXPORT const uint64_t thintable_epi8[256];
#endif // SIMDJSON_INTERNAL_SIMDPRUNE_TABLES_H
/* end file simdjson/internal/simdprune_tables.h */
#endif // SIMDJSON_GENERIC_DEPENDENCIES_H
/* end file simdjson/generic/dependencies.h */
/* including generic/dependencies.h: #include <generic/dependencies.h> */
+1453 -795
View File
File diff suppressed because it is too large Load Diff
+2
View File
@@ -2,6 +2,8 @@
link_libraries(simdjson)
include_directories(..)
add_subdirectory(compilation_failure_tests)
add_cpp_test(ondemand_car_tag_invoke_deserialization LABELS ondemand acceptance per_implementation)
add_cpp_test(ondemand_car_deserialization LABELS ondemand acceptance per_implementation)
add_cpp_test(ondemand_log_tests LABELS ondemand acceptance per_implementation)
add_cpp_test(ondemand_log_error_tests LABELS ondemand acceptance per_implementation)
add_cpp_test(ondemand_tostring_tests LABELS ondemand acceptance per_implementation)
@@ -0,0 +1,263 @@
#include "simdjson.h"
#include "test_ondemand.h"
#include <iostream>
#include <vector>
using namespace simdjson;
/**
* A custom type that we want to parse.
*/
struct Car {
std::string make{};
std::string model{};
int64_t year{};
std::vector<double> tire_pressure{};
bool operator==(const Car &other) const {
return make == other.make && model == other.model && year == other.year &&
tire_pressure == other.tire_pressure;
}
};
std::ostream &operator<<(std::ostream &os, const Car &c) {
os << c.make << " " << c.model << " " << c.year << " ";
for (auto p : c.tire_pressure) {
os << p << " ";
}
return os;
}
#if !SIMDJSON_SUPPORTS_DESERIALIZATION
// This code is not necessary if you have a C++20 compliant system:
template <>
simdjson_inline simdjson_result<std::vector<double>>
simdjson::ondemand::value::get() noexcept {
ondemand::array array;
auto error = get_array().get(array);
if (error) {
return error;
}
std::vector<double> vec;
for (auto v : array) {
double val;
error = v.get_double().get(val);
if (error) {
return error;
}
vec.push_back(val);
}
return vec;
}
#endif
template <>
simdjson_inline simdjson_result<Car> simdjson::ondemand::value::get() noexcept {
ondemand::object obj;
auto error = get_object().get(obj);
if (error) {
return error;
}
Car car;
if ((error = obj["make"].get_string(car.make))) {
return error;
}
if ((error = obj["model"].get_string(car.model))) {
return error;
}
if ((error = obj["year"].get_int64().get(car.year))) {
return error;
}
if ((error = obj["tire_pressure"].get<std::vector<double>>().get(
car.tire_pressure))) {
return error;
}
return car;
}
template <>
simdjson_inline simdjson_result<Car>
simdjson::ondemand::document::get() &noexcept {
ondemand::object obj;
auto error = get_object().get(obj);
if (error) {
return error;
}
Car car;
if ((error = obj["make"].get_string(car.make))) {
return error;
}
if ((error = obj["model"].get_string(car.model))) {
return error;
}
if ((error = obj["year"].get_int64().get(car.year))) {
return error;
}
if ((error = obj["tire_pressure"].get<std::vector<double>>().get(
car.tire_pressure))) {
return error;
}
return car;
}
template <>
simdjson_inline simdjson_result<Car>
simdjson::ondemand::document_reference::get() &noexcept {
ondemand::object obj;
auto error = get_object().get(obj);
if (error) {
return error;
}
Car car;
if ((error = obj["make"].get_string(car.make))) {
return error;
}
if ((error = obj["model"].get_string(car.model))) {
return error;
}
if ((error = obj["year"].get_int64().get(car.year))) {
return error;
}
if ((error = obj["tire_pressure"].get<std::vector<double>>().get(
car.tire_pressure))) {
return error;
}
return car;
}
int main_should_compile(void) {
padded_string json =
R"( [ { "make": "Toyota", "model": "Camry", "year": 2018,
"tire_pressure": [ 40.1, 39.9 ] },
{ "make": "Kia", "model": "Soul", "year": 2012,
"tire_pressure": [ 30.1, 31.0 ] },
{ "make": "Toyota", "model": "Tercel", "year": 1999,
"tire_pressure": [ 29.8, 30.0 ] }
])"_padded;
ondemand::parser parser;
ondemand::document doc;
[[maybe_unused]] auto doc_error = parser.iterate(json).get(doc);
for (auto val : doc) {
#if SIMDJSON_EXCEPTIONS
Car c(val); // an exception may be thrown
#else
Car c;
if (auto error = val.get<Car>().get(c)) {
std::cerr << error << std::endl;
return EXIT_FAILURE;
}
#endif
}
return EXIT_SUCCESS;
}
namespace car_error_tests {
bool car_deserialize() {
TEST_START();
padded_string json =
R"( [ { "make": "Toyota", "model": "Camry", "year": 2018,
"tire_pressure": [ 40.1, 39.9 ] },
{ "make": "Kia", "model": "Soul", "year": 2012,
"tire_pressure": [ 30.1, 31.0 ] },
{ "make": "Toyota", "model": "Tercel", "year": 1999,
"tire_pressure": [ 29.8, 30.0 ] }
])"_padded;
ondemand::parser parser;
ondemand::document doc;
[[maybe_unused]] auto doc_error = parser.iterate(json).get(doc);
std::vector<Car> cars;
for (auto val : doc) {
#if SIMDJSON_EXCEPTIONS
Car c(val); // an exception may be thrown
#else
Car c;
if (auto error = val.get<Car>().get(c)) {
std::cerr << error << std::endl;
return EXIT_FAILURE;
}
#endif
cars.push_back(c);
std::cout << c.make << std::endl;
}
std::vector<Car> expected = {{"Toyota", "Camry", 2018, {40.1, 39.9}},
{"Kia", "Soul", 2012, {30.1, 31.0}},
{"Toyota", "Tercel", 1999, {29.8, 30.0}}};
ASSERT_EQUAL(cars.size(), expected.size());
for (size_t i = 0; i < cars.size(); i++) {
ASSERT_EQUAL(cars[i], expected[i]);
}
TEST_SUCCEED();
}
bool car_doc_deserialize() {
TEST_START();
padded_string json = R"( { "make": "Toyota", "model": "Camry", "year": 2018,
"tire_pressure": [ 40.1, 39.9 ] }
)"_padded;
ondemand::parser parser;
ondemand::document doc;
[[maybe_unused]] auto doc_error = parser.iterate(json).get(doc);
#if SIMDJSON_EXCEPTIONS
Car c(doc); // an exception may be thrown
#else
Car c;
if (auto error = doc.get<Car>().get(c)) {
std::cerr << error << std::endl;
return EXIT_FAILURE;
}
#endif
Car expected = {"Toyota", "Camry", 2018, {40.1, 39.9}};
ASSERT_EQUAL(c, expected);
TEST_SUCCEED();
}
bool car_stream_deserialize() {
TEST_START();
padded_string json =
R"( { "make": "Toyota", "model": "Camry", "year": 2018,
"tire_pressure": [ 40.1, 39.9 ] }
{ "make": "Kia", "model": "Soul", "year": 2012,
"tire_pressure": [ 30.1, 31.0 ] }
{ "make": "Toyota", "model": "Tercel", "year": 1999,
"tire_pressure": [ 29.8, 30.0 ] }
)"_padded;
ondemand::parser parser;
ondemand::document_stream stream;
auto error = parser.iterate_many(json).get(stream);
if(error) {
std::cerr << error << std::endl;
return EXIT_FAILURE;
}
std::vector<Car> cars;
#if SIMDJSON_EXCEPTIONS
for(ondemand::document_reference doc : stream) {
//Car c(doc); // an exception may be thrown
cars.push_back(Car(doc)); // an exception may be thrown
}
#else
for(auto doc : stream) {
Car c;
if ((error = doc.get<Car>().get(c))) {
std::cerr << error << std::endl;
return EXIT_FAILURE;
}
cars.push_back(c);
}
#endif
std::vector<Car> expected = {{"Toyota", "Camry", 2018, {40.1, 39.9}},
{"Kia", "Soul", 2012, {30.1, 31.0}},
{"Toyota", "Tercel", 1999, {29.8, 30.0}}};
ASSERT_EQUAL(cars.size(), expected.size());
for (size_t i = 0; i < cars.size(); i++) {
ASSERT_EQUAL(cars[i], expected[i]);
}
TEST_SUCCEED();
}
bool run() { return car_stream_deserialize() && car_doc_deserialize() && car_deserialize(); }
} // namespace car_error_tests
int main(int argc, char *argv[]) {
return test_main(argc, argv, car_error_tests::run);
}
@@ -0,0 +1,335 @@
#include "simdjson.h"
#include "test_ondemand.h"
#include <cstdlib>
#include <iostream>
#include <vector>
#include <list>
#include <optional>
using namespace simdjson;
#if !SIMDJSON_SUPPORTS_DESERIALIZATION
int main(void) {
printf("This test is only relevant when SIMDJSON_SUPPORTS_DESERIALIZATION is true (C++20)\n");
return EXIT_SUCCESS;
}
#else
/**
* A custom type that we want to parse.
*/
struct Car {
std::string make{};
std::string model{};
int year{};
std::vector<float> tire_pressure{};
bool operator==(const Car &other) const {
return make == other.make && model == other.model && year == other.year &&
tire_pressure == other.tire_pressure;
}
};
std::ostream &operator<<(std::ostream &os, const Car &c) {
os << c.make << " " << c.model << " " << c.year << " ";
for (auto p : c.tire_pressure) {
os << p << " ";
}
return os;
}
namespace simdjson {
// This tag_invoke MUST be inside simdjson namespace
template <typename simdjson_value>
auto tag_invoke(deserialize_tag, simdjson_value &val, Car& car) {
ondemand::object obj;
auto error = val.get_object().get(obj);
if (error) {
return error;
}
if ((error = obj["make"].get_string(car.make))) {
return error;
}
if ((error = obj["model"].get_string(car.model))) {
return error;
}
if ((error = obj["year"].get(car.year))) {
return error;
}
if ((error = obj["tire_pressure"].get<std::vector<float>>().get(
car.tire_pressure))) {
return error;
}
return simdjson::SUCCESS;
}
// suppose we want to filter out all Toyotas
template <typename simdjson_value>
auto tag_invoke(deserialize_tag, simdjson_value &val, std::list<Car>& car) {
ondemand::array arr;
auto error = val.get_array().get(arr);
if (error) {
return error;
}
for (auto v : arr) {
Car c;
if ((error = v.get<Car>().get(c))) {
return error;
}
if(c.make != "Toyota") {
car.push_back(c);
}
}
return simdjson::SUCCESS;
}
} // namespace simdjson
int main_should_compile(void) {
padded_string json =
R"( [ { "make": "Toyota", "model": "Camry", "year": 2018,
"tire_pressure": [ 40.1, 39.9 ] },
{ "make": "Kia", "model": "Soul", "year": 2012,
"tire_pressure": [ 30.1, 31.0 ] },
{ "make": "Toyota", "model": "Tercel", "year": 1999,
"tire_pressure": [ 29.8, 30.0 ] }
])"_padded;
ondemand::parser parser;
ondemand::document doc;
[[maybe_unused]] auto doc_error = parser.iterate(json).get(doc);
for (auto val : doc) {
#if SIMDJSON_EXCEPTIONS
Car c(val); // an exception may be thrown
#else
Car c;
if (auto error = val.get<Car>().get(c)) {
std::cerr << error << std::endl;
return EXIT_FAILURE;
}
#endif
}
return EXIT_SUCCESS;
}
namespace car_error_tests {
bool car_deserialize() {
TEST_START();
padded_string json =
R"( [ { "make": "Toyota", "model": "Camry", "year": 2018,
"tire_pressure": [ 40.1, 39.9 ] },
{ "make": "Kia", "model": "Soul", "year": 2012,
"tire_pressure": [ 30.1, 31.0 ] },
{ "make": "Toyota", "model": "Tercel", "year": 1999,
"tire_pressure": [ 29.8, 30.0 ] }
])"_padded;
ondemand::parser parser;
ondemand::document doc;
[[maybe_unused]] auto doc_error = parser.iterate(json).get(doc);
std::vector<Car> cars;
for (auto val : doc) {
#if SIMDJSON_EXCEPTIONS
Car c(val); // an exception may be thrown
#else
Car c;
if (auto error = val.get<Car>().get(c)) {
std::cerr << error << std::endl;
return EXIT_FAILURE;
}
#endif
cars.push_back(c);
std::cout << c.make << std::endl;
}
std::vector<Car> expected = {{"Toyota", "Camry", 2018, {40.1f, 39.9f}},
{"Kia", "Soul", 2012, {30.1f, 31.0f}},
{"Toyota", "Tercel", 1999, {29.8f, 30.0f}}};
ASSERT_EQUAL(cars.size(), expected.size());
for (size_t i = 0; i < cars.size(); i++) {
ASSERT_EQUAL(cars[i], expected[i]);
}
TEST_SUCCEED();
}
bool vector_car_deserialize() {
TEST_START();
padded_string json =
R"( [ { "make": "Toyota", "model": "Camry", "year": 2018,
"tire_pressure": [ 40.1, 39.9 ] },
{ "make": "Kia", "model": "Soul", "year": 2012,
"tire_pressure": [ 30.1, 31.0 ] },
{ "make": "Toyota", "model": "Tercel", "year": 1999,
"tire_pressure": [ 29.8, 30.0 ] }
])"_padded;
ondemand::parser parser;
ondemand::document doc;
[[maybe_unused]] auto doc_error = parser.iterate(json).get(doc);
#if SIMDJSON_EXCEPTIONS
#if SIMDJSON_REGULAR_VISUAL_STUDIO
std::vector<Car> cars = doc.get<std::vector<Car>>(); // an exception may be thrown
#else
std::vector<Car> cars(doc); // an exception may be thrown
#endif
#else
std::vector<Car> cars;
if (auto error = doc.get<std::vector<Car>>().get(cars)) {
std::cerr << error << std::endl;
return EXIT_FAILURE;
}
#endif
std::vector<Car> expected = {{"Toyota", "Camry", 2018, {40.1f, 39.9f}},
{"Kia", "Soul", 2012, {30.1f, 31.0f}},
{"Toyota", "Tercel", 1999, {29.8f, 30.0f}}};
ASSERT_EQUAL(cars.size(), expected.size());
for (size_t i = 0; i < cars.size(); i++) {
ASSERT_EQUAL(cars[i], expected[i]);
}
TEST_SUCCEED();
}
bool list_car_deserialize() {
TEST_START();
padded_string json =
R"( [ { "make": "Toyota", "model": "Camry", "year": 2018,
"tire_pressure": [ 40.1, 39.9 ] },
{ "make": "Kia", "model": "Soul", "year": 2012,
"tire_pressure": [ 30.1, 31.0 ] },
{ "make": "Toyota", "model": "Tercel", "year": 1999,
"tire_pressure": [ 29.8, 30.0 ] }
])"_padded;
ondemand::parser parser;
ondemand::document doc;
[[maybe_unused]] auto doc_error = parser.iterate(json).get(doc);
#if SIMDJSON_EXCEPTIONS
#if SIMDJSON_REGULAR_VISUAL_STUDIO
std::list<Car> cars = doc.get<std::list<Car>>(); // an exception may be thrown
#else
std::list<Car> cars(doc); // an exception may be thrown
#endif
#else
std::list<Car> cars;
if (auto error = doc.get<std::list<Car>>().get(cars)) {
std::cerr << error << std::endl;
return EXIT_FAILURE;
}
#endif
std::list<Car> expected = {{"Kia", "Soul", 2012, {30.1f, 31.0f}}};
ASSERT_EQUAL(cars.size(), expected.size());
ASSERT_EQUAL(cars.front(), expected.front());
TEST_SUCCEED();
}
bool optional_car_deserialize() {
TEST_START();
padded_string json =
R"( { "car1": { "make": "Toyota", "model": "Camry", "year": 2018,
"tire_pressure": [ 40.1, 39.9 ] }
})"_padded;
ondemand::parser parser;
ondemand::document doc;
[[maybe_unused]] auto error = parser.iterate(json).get(doc);
std::optional<Car> car;
error = doc["key not found"].get<std::optional<Car>>().get(car);
ASSERT_TRUE(!car);
error = doc["car1"].get<std::optional<Car>>().get(car);
std::optional<Car> expected = Car{"Toyota", "Camry", 2018, {40.1f, 39.9f}};
ASSERT_TRUE(car == expected);
TEST_SUCCEED();
}
bool car_doc_deserialize() {
TEST_START();
padded_string json = R"( { "make": "Toyota", "model": "Camry", "year": 2018,
"tire_pressure": [ 40.1, 39.9 ] }
)"_padded;
ondemand::parser parser;
ondemand::document doc;
[[maybe_unused]] auto doc_error = parser.iterate(json).get(doc);
#if SIMDJSON_EXCEPTIONS
Car c(doc); // an exception may be thrown
#else
Car c;
if (auto error = doc.get<Car>().get(c)) {
std::cerr << error << std::endl;
return EXIT_FAILURE;
}
#endif
Car expected = {"Toyota", "Camry", 2018, {40.1f, 39.9f}};
ASSERT_EQUAL(c, expected);
TEST_SUCCEED();
}
bool car_stream_deserialize() {
TEST_START();
padded_string json =
R"( { "make": "Toyota", "model": "Camry", "year": 2018,
"tire_pressure": [ 40.1, 39.9 ] }
{ "make": "Kia", "model": "Soul", "year": 2012,
"tire_pressure": [ 30.1, 31.0 ] }
{ "make": "Toyota", "model": "Tercel", "year": 1999,
"tire_pressure": [ 29.8, 30.0 ] }
)"_padded;
ondemand::parser parser;
ondemand::document_stream stream;
[[maybe_unused]] auto error = parser.iterate_many(json).get(stream);
std::vector<Car> cars;
#if SIMDJSON_EXCEPTIONS
for(auto doc : stream) {
cars.push_back((Car)doc); // an exception may be thrown
}
#else
for(auto doc : stream) {
Car c;
if ((error = doc.get<Car>().get(c))) {
std::cerr << error << std::endl;
return EXIT_FAILURE;
}
cars.push_back(c);
}
#endif
std::vector<Car> expected = {{"Toyota", "Camry", 2018, {40.1f, 39.9f}},
{"Kia", "Soul", 2012, {30.1f, 31.0f}},
{"Toyota", "Tercel", 1999, {29.8f, 30.0f}}};
ASSERT_EQUAL(cars.size(), expected.size());
for (size_t i = 0; i < cars.size(); i++) {
ASSERT_EQUAL(cars[i], expected[i]);
}
TEST_SUCCEED();
}
bool car_unique_ptr_deserialize() {
TEST_START();
auto const json = R"( { "make": "Toyota", "model": "Camry", "year": 2018,
"tire_pressure": [ 40.1, 39.9 ] })"_padded;
simdjson::ondemand::parser parser;
simdjson::ondemand::document doc;
[[maybe_unused]] auto error = parser.iterate(json).get(doc);
#if SIMDJSON_EXCEPTIONS
std::unique_ptr<Car> c(doc);
#else
std::unique_ptr<Car> c;
if ((error = doc.get<std::unique_ptr<Car>>().get(c))) {
std::cerr << error << std::endl;
return EXIT_FAILURE;
}
#endif
ASSERT_EQUAL(c->make, "Toyota");
TEST_SUCCEED();
}
bool run() { return list_car_deserialize()
&& optional_car_deserialize()
&& car_unique_ptr_deserialize()
&& vector_car_deserialize()
&& car_stream_deserialize()
&& car_doc_deserialize()
&& car_deserialize(); }
} // namespace car_error_tests
int main(int argc, char *argv[]) {
return test_main(argc, argv, car_error_tests::run);
}
#endif // SIMDJSON_SUPPORTS_DESERIALIZATION
@@ -4,20 +4,6 @@
#include <string>
#include <vector>
#if SIMDJSON_SUPPORTS_DESERIALIZATION
namespace simdjson {
// unique_ptr<T>
template <typename T>
error_code tag_invoke(deserialize_tag, auto &val, std::unique_ptr<T>& out) {
out = std::make_unique<T>(val.template get<T>());
return SUCCESS;
}
} // namespace simdjson
#endif // SIMDJSON_SUPPORTS_DESERIALIZATION
namespace doc_custom_types_tests {
#if SIMDJSON_EXCEPTIONS && defined(__cpp_concepts)
@@ -4,40 +4,6 @@
#include <string>
#include <vector>
#if SIMDJSON_SUPPORTS_DESERIALIZATION
template <typename T>
struct is_unique_ptr : std::false_type {
};
template <typename T>
struct is_unique_ptr<std::unique_ptr<T>> : std::true_type {
};
template <typename T>
concept is_unique_ptr_v = is_unique_ptr<T>::value;
namespace simdjson {
// this is to demonstrate that we can use concept; otherwise a simple
// type_identity<unique_ptr<T>> as the second argument would have done the job.
//
// This tag_invoke MUST be inside simdjson namespace
template <typename T>
requires is_unique_ptr_v<T>
auto tag_invoke(deserialize_tag, auto &val, T& out) {
using type = typename T::element_type;
out = std::make_unique<type>(val.template get<type>());
return SUCCESS;
}
} // namespace simdjson
#endif // SIMDJSON_SUPPORTS_DESERIALIZATION
namespace custom_types_tests {
#if SIMDJSON_EXCEPTIONS && SIMDJSON_SUPPORTS_DESERIALIZATION
+4 -20
View File
@@ -76,29 +76,13 @@ simdjson_inline simdjson_result<Car> simdjson::ondemand::value::get() noexcept {
auto error = get_object().get(obj);
if (error) { return error; }
Car car;
// Instead of repeatedly obj["something"], we iterate through the object which
// we expect to be faster.
for (auto field : obj) {
raw_json_string key;
if (error = field.key().get(key); error) { return error; }
if (key == "make") {
error = field.value().get_string(car.make);
if(error) { return error; }
} else if (key == "model") {
error = field.value().get_string(car.model);
if(error) { return error; }
} else if (key == "year") {
error = field.value().get_int64().get(car.year);
if(error) { return error; }
} else if (key == "tire_pressure") {
error = field.value().get<std::vector<double>>().get(car.tire_pressure);
if (error) { return error; }
}
}
if((error = obj["make"].get_string(car.make))) { return error; }
if((error = obj["model"].get_string(car.model))) { return error; }
if((error = obj["year"].get_int64().get(car.year))) { return error; }
if((error = obj["tire_pressure"].get<std::vector<double>>().get(car.tire_pressure))) { return error; }
return car;
}
int custom_type_without_exceptions() {
padded_string json = R"( [ { "make": "Toyota", "model": "Camry", "year": 2018,
"tire_pressure": [ 40.1, 39.9 ] },
+211 -2
View File
@@ -3,11 +3,68 @@
#include <string>
#include <vector>
#include <list>
#include <set>
#include <stack>
#include <queue>
#include <deque>
#include <unordered_set>
#include <optional>
#if SIMDJSON_SUPPORTS_DESERIALIZATION
class Array : public std::vector<float> {};
static_assert(simdjson::concepts::appendable_containers<Array>, "Array must be appendable_containers");
static_assert(!simdjson::require_custom_serialization<Array>);
namespace simdjson {
// This tag_invoke MUST be inside simdjson namespace
template <typename simdjson_value>
auto tag_invoke(deserialize_tag, simdjson_value &val, Array& out) {
simdjson::ondemand::array arr;
SIMDJSON_TRY(val.get_array().get(arr));
for (auto v : arr) {
float temp;
if (auto const err = v.get<float>().get(temp); err) {
return err;
}
out.push_back(temp);
out.push_back(temp); // adding it twice
}
return error_code::SUCCESS;
}
} // namespace simdjson
// require_custom_serialization
#endif // SIMDJSON_SUPPORTS_DESERIALIZATION
namespace stl_types {
#if SIMDJSON_EXCEPTIONS && SIMDJSON_SUPPORTS_DESERIALIZATION
bool basic_general_madness() {
TEST_START();
simdjson::padded_string json =
R"( [ { "codes": [1,2,3,4,18,19] },
{ "codes": [1,3,4,111,1111] } ])"_padded;
simdjson::ondemand::parser parser;
simdjson::ondemand::document doc = parser.iterate(json);
std::vector<uint16_t> codes;
for (auto val : doc) {
simdjson::ondemand::object obj;
SIMDJSON_TRY(val.get_object().get(obj));
obj["codes"].get(codes); // append to it
}
if (codes.size() != 11) {
return false;
}
if (codes[5] != 19 || codes[7] != 3 || codes[9] != 111) {
return false;
}
TEST_SUCCEED();
}
bool basic_general_madness_vector() {
TEST_START();
simdjson::padded_string json =
R"( [ { "codes": [1.2, 3.4, 5.6, 7.8, 9.0] },
@@ -15,7 +72,7 @@ bool basic_general_madness() {
simdjson::ondemand::parser parser;
simdjson::ondemand::document doc = parser.iterate(json);
std::vector<std::unique_ptr<float>> codes;
std::vector<float> codes;
for (auto val : doc) {
simdjson::ondemand::object obj;
SIMDJSON_TRY(val.get_object().get(obj));
@@ -25,18 +82,170 @@ bool basic_general_madness() {
if (codes.size() != 10) {
return false;
}
if (*codes[5] != 2.2f || *codes[7] != 6.6f || *codes[9] != 10.0f) {
if (codes[5] != 2.2f || codes[7] != 6.6f || codes[9] != 10.0f) {
return false;
}
TEST_SUCCEED();
}
bool basic_general_madness_list() {
TEST_START();
simdjson::padded_string json =
R"( [ { "codes": [1.2, 3.4, 5.6, 7.8, 9.0] },
{ "codes": [2.2, 4.4, 6.6, 8.8, 10.0] } ])"_padded;
simdjson::ondemand::parser parser;
simdjson::ondemand::document doc = parser.iterate(json);
std::list<float> codes;
for (auto val : doc) {
simdjson::ondemand::object obj;
SIMDJSON_TRY(val.get_object().get(obj));
obj["codes"].get(codes); // append to it
}
if (codes.size() != 10) {
return false;
}
if (codes.back() != 10.0f || codes.front() != 1.2f) {
return false;
}
TEST_SUCCEED();
}
bool basic_general_madness_Array() {
TEST_START();
simdjson::padded_string json =
R"( [ { "codes": [1.2, 3.4, 5.6, 7.8, 9.0] },
{ "codes": [2.2, 4.4, 6.6, 8.8, 10.0] } ])"_padded;
simdjson::ondemand::parser parser;
simdjson::ondemand::document doc = parser.iterate(json);
Array codes;
for (auto val : doc) {
simdjson::ondemand::object obj;
SIMDJSON_TRY(val.get_object().get(obj));
obj["codes"].get(codes); // append to it
}
ASSERT_EQUAL(codes.size(), 20);
TEST_SUCCEED();
}
template <template <typename...> typename Container, typename ValT = float>
bool basic_general_madness_container() {
TYPED_TEST_START(Container<ValT>);
simdjson::padded_string json =
R"( [ { "codes": [1.0, 3.4, 5.6, 7.8, 9.0] },
{ "codes": [2.2, 4.4, 6.6, 8.8, 10.0] } ])"_padded;
simdjson::ondemand::parser parser;
simdjson::ondemand::document doc = parser.iterate(json);
Container<ValT> codes;
for (auto val : doc) {
simdjson::ondemand::object obj;
SIMDJSON_TRY(val.get_object().get(obj));
obj["codes"].get(codes); // append to it
}
if (codes.size() != 10) {
return false;
}
if constexpr (requires {codes.front();}) {
if constexpr (requires {*codes.front();}) {
if (*codes.front() != 1.0) {
return false;
}
} else {
if (codes.front() != 1.0) {
return false;
}
}
}
if constexpr (requires {codes.back();} ) {
if constexpr (requires {*codes.back();}) {
if (*codes.back() != 10.0) {
return false;
}
} else {
if (codes.back() != 10.0) {
return false;
}
}
}
TEST_SUCCEED();
}
#endif // SIMDJSON_EXCEPTIONS
bool run() {
return
#if SIMDJSON_EXCEPTIONS && SIMDJSON_SUPPORTS_DESERIALIZATION
basic_general_madness() &&
basic_general_madness_vector() &&
basic_general_madness_list() &&
basic_general_madness_Array() &&
basic_general_madness_container<std::vector>() &&
basic_general_madness_container<std::list>() &&
basic_general_madness_container<std::set>() &&
basic_general_madness_container<std::stack>() &&
basic_general_madness_container<std::queue>() &&
basic_general_madness_container<std::deque>() &&
basic_general_madness_container<std::priority_queue>() &&
basic_general_madness_container<std::unordered_set>() &&
basic_general_madness_container<std::multiset>() &&
basic_general_madness_container<std::unordered_multiset>() &&
// double:
basic_general_madness_container<std::vector, double>() &&
basic_general_madness_container<std::list, double>() &&
basic_general_madness_container<std::set, double>() &&
basic_general_madness_container<std::stack, double>() &&
basic_general_madness_container<std::queue, double>() &&
basic_general_madness_container<std::deque, double>() &&
basic_general_madness_container<std::priority_queue, double>() &&
basic_general_madness_container<std::unordered_set, double>() &&
basic_general_madness_container<std::multiset, double>() &&
basic_general_madness_container<std::unordered_multiset, double>() &&
// unique_ptr<double>:
basic_general_madness_container<std::vector, std::unique_ptr<double>>() &&
basic_general_madness_container<std::list, std::unique_ptr<double>>() &&
basic_general_madness_container<std::set, std::unique_ptr<double>>() &&
basic_general_madness_container<std::stack, std::unique_ptr<double>>() &&
basic_general_madness_container<std::deque, std::unique_ptr<double>>() &&
basic_general_madness_container<std::queue, std::unique_ptr<double>>() &&
basic_general_madness_container<std::priority_queue, std::unique_ptr<double>>() &&
basic_general_madness_container<std::unordered_set, std::unique_ptr<double>>() &&
basic_general_madness_container<std::multiset, std::unique_ptr<double>>() &&
basic_general_madness_container<std::unordered_multiset, std::unique_ptr<double>>() &&
// shared_ptr<double>:
basic_general_madness_container<std::vector, std::shared_ptr<double>>() &&
basic_general_madness_container<std::list, std::shared_ptr<double>>() &&
basic_general_madness_container<std::set, std::shared_ptr<double>>() &&
basic_general_madness_container<std::stack, std::shared_ptr<double>>() &&
basic_general_madness_container<std::deque, std::shared_ptr<double>>() &&
basic_general_madness_container<std::queue, std::shared_ptr<double>>() &&
basic_general_madness_container<std::priority_queue, std::shared_ptr<double>>() &&
basic_general_madness_container<std::unordered_set, std::shared_ptr<double>>() &&
basic_general_madness_container<std::multiset, std::shared_ptr<double>>() &&
basic_general_madness_container<std::unordered_multiset, std::shared_ptr<double>>() &&
// optional<double>:
basic_general_madness_container<std::vector, std::optional<double>>() &&
basic_general_madness_container<std::list, std::optional<double>>() &&
basic_general_madness_container<std::set, std::optional<double>>() &&
basic_general_madness_container<std::stack, std::optional<double>>() &&
basic_general_madness_container<std::deque, std::optional<double>>() &&
basic_general_madness_container<std::queue, std::optional<double>>() &&
basic_general_madness_container<std::priority_queue, std::optional<double>>() &&
basic_general_madness_container<std::unordered_set, std::optional<double>>() &&
basic_general_madness_container<std::multiset, std::optional<double>>() &&
basic_general_madness_container<std::unordered_multiset, std::optional<double>>() &&
#endif // SIMDJSON_EXCEPTIONS
true;
}
+1
View File
@@ -110,6 +110,7 @@ simdjson_inline bool assert_iterate_error(T &arr, simdjson::error_code expected,
return assert_equal( count, 1, operation );
}
#define TEST_START() do { std::cout << "> Running " << __func__ << " ..." << std::endl; } while(0);
#define TYPED_TEST_START(T) do { std::cout << "> Running " << __func__ << "<" << typeid(T).name() << "> ..." << std::endl; } while(0);
#define SUBTEST(NAME, TEST) do { std::cout << " - Subtest " << (NAME) << " ..." << std::endl; if (!(TEST)) { return false; } } while (0);
#define ASSERT_EQUAL(ACTUAL, EXPECTED) do { if (!::assert_equal ((ACTUAL), (EXPECTED), #ACTUAL)) { return false; } } while (0);
#define ASSERT_RESULT(ACTUAL, EXPECTED) do { if (!::assert_result ((ACTUAL), (EXPECTED), #ACTUAL)) { return false; } } while (0);