import axios from 'axios';
import { getLLMConfig } from './config.js';
import { line, error } from './log.js';

function isOpenAIGpt55(provider, model) {
  return provider === 'openai' && /^gpt-5\.5(?:-|$)/i.test(model || '');
}

function chatEndpoint(baseURL, provider, model) {
  const base = baseURL.replace(/\/$/, '');
  return isOpenAIGpt55(provider, model) ? `${base}/responses` : `${base}/chat/completions`;
}

function chatPayload(provider, model, systemPrompt, userContent) {
  if (isOpenAIGpt55(provider, model)) {
    return { model, instructions: systemPrompt, input: userContent, temperature: 0.2 };
  }
  return { model, messages: [{ role: 'system', content: systemPrompt }, { role: 'user', content: userContent }], temperature: 0.2 };
}

function extractContent(provider, model, data) {
  if (!isOpenAIGpt55(provider, model)) return data.choices[0].message.content;
  if (typeof data.output_text === 'string') return data.output_text;
  const parts = data.output?.flatMap(item => item.content || []) || [];
  const text = parts
    .map(part => {
      if (typeof part.text === 'string') return part.text;
      if (typeof part.content === 'string') return part.content;
      return '';
    })
    .filter(Boolean)
    .join('');
  if (text) return text;
  return data.choices?.[0]?.message?.content || '';
}

function opencodeModelConfig(model) {
  const [providerID, modelID] = model.includes('/') ? model.split('/', 2) : [process.env.OPENCODE_PROVIDER || 'google', model];
  return { providerID, modelID };
}

function applyOpenCodeAuth(headers) {
  const password = process.env.OPENCODE_SERVER_PASSWORD;
  if (!password) return;
  const username = process.env.OPENCODE_SERVER_USERNAME || 'opencode';
  headers['Authorization'] = `Basic ${Buffer.from(`${username}:${password}`).toString('base64')}`;
}

function extractOpenCodeContent(data) {
  const parts = data.parts || data.data?.parts || data.info?.content || data.data?.info?.content || [];
  return parts
    .map(part => part.text || part.content || '')
    .filter(Boolean)
    .join('');
}

async function chatOpenCode(baseURL, model, systemPrompt, userContent, headers) {
  const base = baseURL.replace(/\/$/, '');
  const { providerID, modelID } = opencodeModelConfig(model);
  const session = await axios.post(
    `${base}/session`,
    { title: 'AI Code Review', model: { providerID, id: modelID } },
    { headers }
  );
  const sessionID = session.data.id || session.data.data?.id;
  if (!sessionID) throw new Error('OpenCode session 建立失敗：回應中沒有 session id');

  const resp = await axios.post(
    `${base}/session/${sessionID}/message`,
    {
      model: { providerID, modelID },
      system: systemPrompt,
      parts: [{ type: 'text', text: userContent }],
    },
    { headers }
  );
  return extractOpenCodeContent(resp.data);
}

export async function chat(systemPrompt, userContent) {
  const { provider, apiKeys, baseURL, model } = getLLMConfig();
  if (!provider) throw new Error('未設定任何 LLM API Key');

  line(`[LLM] provider=${provider} model=${model}`);

  const headers = { 'Content-Type': 'application/json' };
  if (provider === 'claude') headers['anthropic-version'] = '2023-06-01';

  const shuffled = [...apiKeys].sort(() => Math.random() - 0.5);
  for (let i = 0; i < shuffled.length; i++) {
    if (provider !== 'ollama' && provider !== 'opencode') headers['Authorization'] = `Bearer ${shuffled[i]}`;
    try {
      if (provider === 'opencode') {
        applyOpenCodeAuth(headers);
        return await chatOpenCode(baseURL, model, systemPrompt, userContent, headers);
      }
      const resp = await axios.post(
        chatEndpoint(baseURL, provider, model),
        chatPayload(provider, model, systemPrompt, userContent),
        { headers }
      );
      return extractContent(provider, model, resp.data);
    } catch (e) {
      line(`[LLM] key[${i + 1}/${shuffled.length}] 失敗: ${e.message}`);
    }
  }
  error('[LLM] 所有 API Key 均失敗，終止流程');
  process.exit(1);
}

export async function chatJSON(systemPrompt, userContent) {
  const text = await chat(systemPrompt, userContent);
  try {
    return JSON.parse(text.trim().replace(/^```[^\n]*\n?/, '').replace(/```$/, '').trim());
  } catch (e) {
    line(`[LLM] JSON 解析失敗: ${e.message}`);
    return [];
  }
}