import OpenAI from 'openai';
import type { ChatRequest, ChatResponse, ChatStreamEvent, ModelClient, MessageContentPart } from './types.js';
import { getGitHubToken } from '../auth/index.js';

export interface GitHubModelsClientConfig {
  apiKey?: string;    // GitHub PAT or gh auth token. Falls back to GITHUB_TOKEN env var
  model: string;      // e.g., 'gpt-4o' or 'claude-sonnet-4'
  maxTokens?: number;
  endpoint?: string;  // Override base URL (default: https://api.githubcopilot.com)
  /**
   * Optional callback invoked when no token is available at API call time.
   * Should return a valid token (e.g. by running the OAuth device flow).
   * If not provided and no token is available, API calls will fail with auth errors.
   */
  onLoginRequired?: () => Promise<string>;
}

const DEFAULT_ENDPOINT = 'https://api.githubcopilot.com';

/**
 * Convert Flynn message content to OpenAI format.
 * Reuses the same pattern as openai.ts since GitHub Models uses an OpenAI-compatible API.
 */
function toOpenAIContent(content: string | MessageContentPart[]): string | OpenAI.ChatCompletionContentPart[] {
  if (typeof content === 'string') {
    return content;
  }

  return content.map((part): OpenAI.ChatCompletionContentPart => {
    if (part.type === 'text') {
      return { type: 'text', text: part.text };
    }
    if (part.type === 'image') {
      const url = part.source.type === 'base64'
        ? `data:${part.source.media_type};base64,${part.source.data!}`
        : part.source.url!;
      return { type: 'image_url', image_url: { url } };
    }
    // Fallback — shouldn't happen
    return { type: 'text', text: JSON.stringify(part) };
  });
}

export class GitHubModelsClient implements ModelClient {
  private client: OpenAI;
  private model: string;
  private defaultMaxTokens: number;
  private baseURL: string;
  private onLoginRequired?: () => Promise<string>;
  private tokenResolved = false;

  constructor(config: GitHubModelsClientConfig) {
    const apiKey = config.apiKey ?? getGitHubToken() ?? '';
    this.baseURL = config.endpoint ?? DEFAULT_ENDPOINT;
    this.onLoginRequired = config.onLoginRequired;
    this.tokenResolved = !!apiKey;

    this.client = new OpenAI({
      apiKey: apiKey || 'placeholder',
      baseURL: this.baseURL,
      defaultHeaders: {
        'Openai-Intent': 'conversation-edits',
      },
    });
    this.model = config.model;
    this.defaultMaxTokens = config.maxTokens ?? 4096;
  }

  /**
   * Ensure we have a valid token before making an API call.
   * If no token was resolved at construction time and an onLoginRequired
   * callback is provided, invoke it to obtain a token (e.g. via OAuth device flow).
   */
  private async ensureToken(): Promise<void> {
    if (this.tokenResolved) return;

    // Try resolving again (user might have logged in via /login since construction)
    const token = getGitHubToken();
    if (token) {
      this.rebuildClient(token);
      return;
    }

    // Trigger auto-login if callback provided
    if (this.onLoginRequired) {
      const newToken = await this.onLoginRequired();
      this.rebuildClient(newToken);
      return;
    }

    // No token and no callback — the API call will fail with an auth error
  }

  /** Rebuild the OpenAI client with a new API key. */
  private rebuildClient(apiKey: string): void {
    this.client = new OpenAI({
      apiKey,
      baseURL: this.baseURL,
      defaultHeaders: {
        'Openai-Intent': 'conversation-edits',
      },
    });
    this.tokenResolved = true;
  }

  async chat(request: ChatRequest): Promise<ChatResponse> {
    await this.ensureToken();
    const messages: OpenAI.ChatCompletionMessageParam[] = [];

    if (request.system) {
      messages.push({ role: 'system', content: request.system });
    }

    for (const msg of request.messages) {
      messages.push({
        role: msg.role,
        content: toOpenAIContent(msg.content),
      } as OpenAI.ChatCompletionMessageParam);
    }

    const params: OpenAI.ChatCompletionCreateParamsNonStreaming = {
      model: this.model,
      max_tokens: request.maxTokens ?? this.defaultMaxTokens,
      messages,
    };

    if (request.tools && request.tools.length > 0) {
      params.tools = request.tools.map(t => ({
        type: 'function' as const,
        function: {
          name: t.name,
          description: t.description,
          parameters: t.input_schema as OpenAI.FunctionParameters,
        },
      }));
    }

    // Extended thinking/reasoning mode
    if (request.thinking) {
      (params as any).reasoning_effort = 'medium';
    }

    const response = await this.client.chat.completions.create(params);

    const choice = response.choices[0];
    const content = choice?.message?.content ?? '';

    const toolCalls = choice?.message?.tool_calls?.map((tc: OpenAI.ChatCompletionMessageToolCall) => ({
      id: tc.id,
      name: tc.function.name,
      args: JSON.parse(tc.function.arguments),
    })) ?? [];

    // Map OpenAI finish reasons to Flynn's stop reasons
    let stopReason: string;
    if (toolCalls.length > 0) {
      stopReason = 'tool_use';
    } else {
      const reason = choice?.finish_reason;
      if (reason === 'stop') {
        stopReason = 'end_turn';
      } else if (reason === 'length') {
        stopReason = 'max_tokens';
      } else {
        stopReason = reason ?? 'end_turn';
      }
    }

    return {
      content,
      stopReason,
      usage: {
        inputTokens: response.usage?.prompt_tokens ?? 0,
        outputTokens: response.usage?.completion_tokens ?? 0,
      },
      ...(toolCalls.length > 0 ? { toolCalls } : {}),
    };
  }

  async *chatStream(request: ChatRequest): AsyncIterable<ChatStreamEvent> {
    await this.ensureToken();
    const messages: OpenAI.ChatCompletionMessageParam[] = [];

    if (request.system) {
      messages.push({ role: 'system', content: request.system });
    }

    for (const msg of request.messages) {
      messages.push({
        role: msg.role,
        content: toOpenAIContent(msg.content),
      } as OpenAI.ChatCompletionMessageParam);
    }

    const params: OpenAI.ChatCompletionCreateParamsStreaming = {
      model: this.model,
      max_tokens: request.maxTokens ?? this.defaultMaxTokens,
      messages,
      stream: true,
    };

    if (request.tools && request.tools.length > 0) {
      params.tools = request.tools.map(t => ({
        type: 'function' as const,
        function: {
          name: t.name,
          description: t.description,
          parameters: t.input_schema as OpenAI.FunctionParameters,
        },
      }));
    }

    try {
      const stream = await this.client.chat.completions.create(params);

      let totalInputTokens = 0;
      let totalOutputTokens = 0;

      // Accumulate tool call deltas across chunks
      const toolCallAccumulator = new Map<number, {
        id: string;
        name: string;
        arguments: string;
      }>();

      for await (const chunk of stream) {
        const delta = chunk.choices[0]?.delta;
        const finishReason = chunk.choices[0]?.finish_reason;

        // Emit text content deltas
        if (delta?.content) {
          yield { type: 'content', content: delta.content };
        }

        // Accumulate tool call deltas
        if (delta?.tool_calls) {
          for (const tc of delta.tool_calls) {
            const existing = toolCallAccumulator.get(tc.index);
            if (existing) {
              // Append argument fragments
              if (tc.function?.arguments) {
                existing.arguments += tc.function.arguments;
              }
            } else {
              toolCallAccumulator.set(tc.index, {
                id: tc.id ?? '',
                name: tc.function?.name ?? '',
                arguments: tc.function?.arguments ?? '',
              });
            }
          }
        }

        // Track usage from chunks (some providers include it in stream)
        if (chunk.usage) {
          totalInputTokens = chunk.usage.prompt_tokens ?? totalInputTokens;
          totalOutputTokens = chunk.usage.completion_tokens ?? totalOutputTokens;
        }

        // On finish, emit accumulated tool calls
        if (finishReason === 'tool_calls' || finishReason === 'stop') {
          for (const [, tc] of toolCallAccumulator) {
            yield {
              type: 'tool_use',
              toolCall: {
                id: tc.id,
                name: tc.name,
                args: JSON.parse(tc.arguments || '{}'),
              },
            };
          }
          toolCallAccumulator.clear();
        }
      }

      yield {
        type: 'done',
        usage: {
          inputTokens: totalInputTokens,
          outputTokens: totalOutputTokens,
        },
      };
    } catch (error) {
      yield {
        type: 'error',
        error: error instanceof Error ? error : new Error(String(error)),
      };
    }
  }
}