import Anthropic from '@anthropic-ai/sdk';
import { GeneratorSpec, type GeneratorSpec as GeneratorSpecT } from '@bmm/types';

export const SYSTEM_PROMPT = `You generate production-grade MCP server specifications as STRICT JSON.

Output ONE JSON object (no markdown, no prose, no code fences) with this exact shape:

{
  "name": "human-readable server name (max 128 chars)",
  "description": "1-2 sentence purpose",
  "tools": [
    {
      "name": "snake_case_tool_name",
      "description": "what the AI client sees — single sentence, clear",
      "inputSchema": {
        "param_name": { "type": "string|number|boolean|array|object", "description": "...", "required": true }
      },
      "implementation": "ASYNC TypeScript body. Receives {args} pre-validated. Must return MCP content blocks: { content: [{ type: 'text', text: '...' }] }. Use process.env.SECRET_NAME for secrets. NEVER use eval/Function/child_process. Use globalThis.fetch for HTTP. Wrap external calls in try/catch and return { content: [{ type: 'text', text: 'Error: ...' }], isError: true } on failure."
    }
  ],
  "resources": [],
  "prompts": [],
  "requiredSecrets": ["UPPER_SNAKE_CASE"],
  "scopes": ["mcp:read"],
  "dependencies": {}
}

Rules:
- Tools are idempotent unless the description explicitly says destructive.
- Validate all string inputs before use.
- For databases: parameterized queries only (use the 'pg' library with $1 placeholders).
- For HTTP APIs: globalThis.fetch with explicit timeout via AbortSignal.timeout(10000).
- Never hardcode credentials; declare them under requiredSecrets and read via process.env.
- Keep tool implementations under 5000 characters.
- Do not include "import" statements in implementations — the runtime injects fetch, pg, etc.

Return JSON only. No explanation.`;

const BANNED_PATTERNS = [
  /\beval\s*\(/,
  /\bnew\s+Function\s*\(/,
  /\brequire\s*\(\s*['"]child_process['"]/,
  /\bchild_process\b/,
  /ignore\s+previous\s+instructions/i,
  /disregard\s+(the\s+)?(above|previous)/i,
];

export interface GenerationResult {
  spec: GeneratorSpecT;
  source: 'claude' | 'mock';
}

export interface GenerateOptions {
  apiKey?: string;
  model?: string;
  maxTokens?: number;
}

export async function generateSpec(prompt: string, opts: GenerateOptions = {}): Promise<GenerationResult> {
  if (!opts.apiKey) {
    return { spec: mockSpec(prompt), source: 'mock' };
  }
  const client = new Anthropic({ apiKey: opts.apiKey });
  const response = await client.messages.create({
    model: opts.model ?? 'claude-opus-4-7',
    max_tokens: opts.maxTokens ?? 8192,
    system: SYSTEM_PROMPT,
    messages: [{ role: 'user', content: prompt }],
  });
  const text = response.content
    .filter((b): b is { type: 'text'; text: string } => b.type === 'text')
    .map((b) => b.text)
    .join('');
  const json = extractJson(text);
  const parsed = GeneratorSpec.safeParse(json);
  if (!parsed.success) {
    throw new SpecValidationError(parsed.error.message);
  }
  scanForInjection(parsed.data);
  return { spec: parsed.data, source: 'claude' };
}

export class SpecValidationError extends Error {
  override readonly name = 'SpecValidationError';
}

export class BannedPatternError extends Error {
  override readonly name = 'BannedPatternError';
}

function extractJson(text: string): unknown {
  const trimmed = text.trim();
  const fenced = trimmed.match(/```(?:json)?\s*([\s\S]*?)```/);
  const body = fenced ? fenced[1] : trimmed;
  if (!body) throw new SpecValidationError('empty_generation_output');
  try {
    return JSON.parse(body);
  } catch (e) {
    throw new SpecValidationError(`generation_not_json: ${(e as Error).message}`);
  }
}

function scanForInjection(spec: GeneratorSpecT): void {
  for (const tool of spec.tools) {
    for (const pattern of BANNED_PATTERNS) {
      if (pattern.test(tool.implementation) || pattern.test(tool.description)) {
        throw new BannedPatternError(`banned_pattern_detected: ${pattern.source}`);
      }
    }
  }
}

export function mockSpec(prompt: string): GeneratorSpecT {
  return {
    name: 'Echo MCP',
    description: `Mock server (no ANTHROPIC_API_KEY). Prompt was: ${prompt.slice(0, 200)}`,
    tools: [
      {
        name: 'echo',
        description: 'Echoes the input string back to the caller.',
        inputSchema: {
          message: { type: 'string', description: 'Message to echo back', required: true },
        },
        implementation: `const msg = String(args.message ?? '');\nreturn { content: [{ type: 'text', text: \`echo: \${msg}\` }] };`,
      },
      {
        name: 'now',
        description: 'Returns the current server UTC timestamp.',
        inputSchema: {},
        implementation: `return { content: [{ type: 'text', text: new Date().toISOString() }] };`,
      },
    ],
    resources: [],
    prompts: [],
    requiredSecrets: [],
    scopes: ['mcp:read'],
    dependencies: {},
  };
}