#include #include #include #include #include #include #undef NDEBUG #include #include "jinja/jinja-parser.h" #include "jinja/jinja-lexer.h" int main(void) { //std::string contents = "{% if messages[0]['role'] == 'system' %}{{ raise_exception('System role not supported') }}{% endif %}{% for message in messages %}{% if (message['role'] == 'user') != (loop.index0 % 2 == 0) %}{{ raise_exception('Conversation roles must alternate user/assistant/user/assistant/...') }}{% endif %}{% if (message['role'] == 'assistant') %}{% set role = 'model' %}{% else %}{% set role = message['role'] %}{% endif %}{{ '' + role + '\\n' + message['content'] | trim + '\\n' }}{% endfor %}{% if add_generation_prompt %}{{'model\\n'}}{% endif %}"; //std::string contents = "{% if messages[0]['role'] != 'system' %}nice {{ messages[0]['content'] }}{% endif %}"; //std::string contents = " {{ messages[0]['content'] }} "; std::ifstream infile("models/templates/moonshotai-Kimi-K2.jinja"); std::string contents((std::istreambuf_iterator(infile)), std::istreambuf_iterator()); std::cout << "=== INPUT ===\n" << contents << "\n\n"; jinja::lexer lexer; jinja::preprocess_options options; options.trim_blocks = true; options.lstrip_blocks = false; auto tokens = lexer.tokenize(contents, options); for (const auto & tok : tokens) { std::cout << "token: type=" << static_cast(tok.t) << " text='" << tok.value << "'\n"; } std::cout << "\n=== AST ===\n"; jinja::program ast = jinja::parse_from_tokens(tokens); for (const auto & stmt : ast.body) { std::cout << "stmt type: " << stmt->type() << "\n"; } std::cout << "\n=== RUN ===\n"; jinja::context ctx; auto make_non_special_string = [](const std::string & s) { jinja::value_string str_val = jinja::mk_val(s); str_val->mark_input(); return str_val; }; jinja::value messages = jinja::mk_val(); jinja::value msg1 = jinja::mk_val(); (*msg1->val_obj)["role"] = make_non_special_string("user"); (*msg1->val_obj)["content"] = make_non_special_string("Hello, how are you?"); messages->val_arr->push_back(std::move(msg1)); jinja::value msg2 = jinja::mk_val(); (*msg2->val_obj)["role"] = make_non_special_string("assistant"); (*msg2->val_obj)["content"] = make_non_special_string("I am fine, thank you!"); messages->val_arr->push_back(std::move(msg2)); ctx.var["messages"] = std::move(messages); jinja::vm vm(ctx); const jinja::value results = vm.execute(ast); auto parts = vm.gather_string_parts(results); std::cout << "\n=== RESULTS ===\n"; for (const auto & part : parts) { std::cout << (part.is_input ? "DATA" : "TMPL") << ": " << part.val << "\n"; } return 0; }