import { ChatWrapper } from "../ChatWrapper.js";
import { SpecialToken, LlamaText, SpecialTokensText } from "../utils/LlamaText.js";
// source: https://github.com/openai/openai-python/blob/120d225b91a8453e15240a49fb1c6794d8119326/chatml.md
export class ChatMLChatWrapper extends ChatWrapper {
    wrapperName = "ChatML";
    generateContextState({ chatHistory, availableFunctions, documentFunctionParams }) {
        const historyWithFunctions = this.addAvailableFunctionsSystemMessageToHistory(chatHistory, availableFunctions, {
            documentParams: documentFunctionParams
        });
        const resultItems = [];
        let systemTexts = [];
        let userTexts = [];
        let modelTexts = [];
        let currentAggregateFocus = null;
        function flush() {
            if (systemTexts.length > 0 || userTexts.length > 0 || modelTexts.length > 0)
                resultItems.push({
                    system: LlamaText.joinValues("\n\n", systemTexts),
                    user: LlamaText.joinValues("\n\n", userTexts),
                    model: LlamaText.joinValues("\n\n", modelTexts)
                });
            systemTexts = [];
            userTexts = [];
            modelTexts = [];
        }
        for (const item of historyWithFunctions) {
            if (item.type === "system") {
                if (currentAggregateFocus !== "system")
                    flush();
                currentAggregateFocus = "system";
                systemTexts.push(LlamaText.fromJSON(item.text));
            }
            else if (item.type === "user") {
                flush();
                currentAggregateFocus = null;
                userTexts.push(LlamaText(item.text));
            }
            else if (item.type === "model") {
                flush();
                currentAggregateFocus = null;
                modelTexts.push(this.generateModelResponseText(item.response));
            }
            else
                void (item);
        }
        flush();
        const contextText = LlamaText(new SpecialToken("BOS"), resultItems.map(({ system, user, model }, index) => {
            const isLastItem = index === resultItems.length - 1;
            return LlamaText([
                (system.values.length === 0)
                    ? LlamaText([])
                    : LlamaText([
                        new SpecialTokensText("<|im_start|>system\n"),
                        system,
                        new SpecialTokensText("<|im_end|>\n")
                    ]),
                (user.values.length === 0)
                    ? LlamaText([])
                    : LlamaText([
                        new SpecialTokensText("<|im_start|>user\n"),
                        user,
                        new SpecialTokensText("<|im_end|>\n")
                    ]),
                (model.values.length === 0 && !isLastItem)
                    ? LlamaText([])
                    : LlamaText([
                        new SpecialTokensText("<|im_start|>assistant\n"),
                        model,
                        isLastItem
                            ? LlamaText([])
                            : new SpecialTokensText("<|im_end|>\n")
                    ])
            ]);
        }));
        return {
            contextText,
            stopGenerationTriggers: [
                LlamaText(new SpecialToken("EOS")),
                LlamaText(new SpecialTokensText("<|im_end|>")),
                LlamaText("<|im_end|>")
            ]
        };
    }
}
//# sourceMappingURL=ChatMLChatWrapper.js.map