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@@ -82,13 +82,95 @@ was called:
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The example below demonstrates the `parse()` function with and without callback function.
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```cpp
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--8<-- "examples/parse__string__parser_callback_t.cpp"
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#include <iostream>
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#include <iomanip>
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#include <nlohmann/json.hpp>
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using json = nlohmann::json;
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int main()
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{
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// a JSON text
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auto text = R"(
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{
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"Image": {
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"Width": 800,
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"Height": 600,
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"Title": "View from 15th Floor",
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"Thumbnail": {
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"Url": "http://www.example.com/image/481989943",
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"Height": 125,
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"Width": 100
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},
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"Animated" : false,
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"IDs": [116, 943, 234, 38793]
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}
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}
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)";
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// parse and serialize JSON
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json j_complete = json::parse(text);
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std::cout << std::setw(4) << j_complete << "\n\n";
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// define parser callback
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json::parser_callback_t cb = [](int depth, json::parse_event_t event, json & parsed)
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{
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// skip object elements with key "Thumbnail"
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if (event == json::parse_event_t::key and parsed == json("Thumbnail"))
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{
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return false;
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}
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else
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{
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return true;
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}
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};
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// parse (with callback) and serialize JSON
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json j_filtered = json::parse(text, cb);
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std::cout << std::setw(4) << j_filtered << '\n';
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}
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```
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Output:
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```json
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--8<-- "examples/parse__string__parser_callback_t.output"
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{
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"Image": {
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"Animated": false,
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"Height": 600,
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"IDs": [
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116,
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943,
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234,
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38793
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],
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"Thumbnail": {
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"Height": 125,
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"Url": "http://www.example.com/image/481989943",
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"Width": 100
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},
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"Title": "View from 15th Floor",
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"Width": 800
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}
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}
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{
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"Image": {
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"Animated": false,
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"Height": 600,
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"IDs": [
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116,
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943,
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234,
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38793
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],
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"Title": "View from 15th Floor",
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"Width": 800
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}
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}
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```
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## Recipe: rejecting duplicate object keys
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@@ -102,13 +184,76 @@ can detect them while the object is still being read, before that ambiguity ever
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??? example "Example: reject duplicate object keys"
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```cpp
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--8<-- "examples/reject_duplicate_keys.cpp"
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#include <iostream>
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#include <nlohmann/json.hpp>
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#include <stdexcept>
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#include <string>
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#include <unordered_set>
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#include <vector>
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using json = nlohmann::json;
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json parse_strict(const std::string& input)
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{
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// one key set per nesting depth, reused across sibling objects
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std::vector<std::unordered_set<std::string>> keys;
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auto reject_duplicate_keys = [&](int depth, json::parse_event_t event, json & parsed)
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{
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if (event == json::parse_event_t::object_start)
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{
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// keys of this object are reported at depth+1 (see the event table above)
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const auto child_depth = static_cast<std::size_t>(depth) + 1;
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if (keys.size() <= child_depth)
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{
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keys.resize(child_depth + 1);
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}
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keys[child_depth].clear();
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return true;
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}
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if (event == json::parse_event_t::key)
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{
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auto& seen = keys[static_cast<std::size_t>(depth)];
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const auto& key = parsed.get_ref<const std::string&>();
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if (!seen.insert(key).second)
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{
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throw std::runtime_error("duplicate JSON object key: " + key);
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}
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return true;
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}
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return true;
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};
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return json::parse(input, reject_duplicate_keys);
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}
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int main()
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{
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// parsing succeeds when all keys are unique
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json j = parse_strict(R"({"one": 1, "two": 2})");
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std::cout << j << '\n';
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// parsing throws when a key is repeated
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try
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{
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parse_strict(R"({"one": 1, "one": 2})");
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}
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catch (const std::exception& e)
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{
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std::cout << e.what() << '\n';
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}
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}
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```
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Output:
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```json
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--8<-- "examples/reject_duplicate_keys.output"
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{"one":1,"two":2}
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duplicate JSON object key: one
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```
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This approach has three limitations:
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