import { anthropic } from "@ai-sdk/anthropic";
import { convertToCoreMessages, streamText, tool } from "ai";
import { CodeInterpreter } from "@e2b/code-interpreter";
import { z } from "zod";
import { geolocation } from "@vercel/functions";

// Allow streaming responses up to 30 seconds
export const maxDuration = 60;

export async function POST(req: Request) {
  const { messages, model } = await req.json();
  const { latitude, longitude, city } = geolocation(req)

  const ansmodel = anthropic(model);

  const result = await streamText({
    model: ansmodel,
    messages: convertToCoreMessages(messages),
    temperature: 0,
    maxTokens: 800,
    system:
      "You are an AI web search engine that helps users find information on the internet.\n" +
      "Always start with running the tool(s) and then and then only write your response AT ALL COSTS!!\n" +
      "Your basic task to first and foremost gather information from a tool and then write your response with images(with web_search)!.\n" +
      "Never write a response without running the tool(s) first!\n" +
      "Do not announce or inform the user in any way that your going to run a tool at ALL COSTS!! Just `run` it and then write your response AT ALL COSTS!!!!!." +
      "Tool Usage Instructions:\n" +
      "The user is located in " + city + " at latitude " + latitude + " and longitude " + longitude + "." +
      "Use this geolocation data for weather tool, when the user doesn't provide a specific location." +
      "You use the 'web_search' tool to search for information on the internet before saying anyting to the user." +
      "Incomplete details or any other said words before the search tool result in a bad response." +
      "Always call the 'web_search' tool to get the information, no need to do a chain of thought or say anything else, go straight to the point." +
      "Once you have found the information, you provide the user with the information you found in brief like a news paper detail." +
      "The detail should be 3-5 paragraphs in 10-12 sentences and put citations using the markdown link format like this always: [<source text>](link to the site) in the end of each paragraph!" +
      "Citations will the render in the client side, so please make sure you format them correctly!" +
      "Never use pointers, unless asked to." +
      "Do not start the responses with newline characters, always start with the first sentence." +
      "When the user asks about a Stock, you should 'always' first gather news about it with web search tool, then show the chart and then write your response. Follow these steps in this order only!" +
      "Never use the retrieve tool for general search. Always use it when the user provides an url! " +
      "For weather related questions, use get_weather_data tool and write your response. No need to call any other tool. DO NOT put citation to OpenWeatherMaps API EVER!" +
      "Use the 'programming' tool to execute Python code for cases like calculating, sorting, etc. that require computation. " +
      "The environment is like a jupyter notebook so don't write print statements at all costs!, just write variables in the end.\n\n" +
      "The current date is: " +
      new Date()
        .toLocaleDateString("en-US", {
          year: "numeric",
          month: "short",
          day: "2-digit",
          weekday: "short",
        })
        .replace(/(\w+), (\w+) (\d+), (\d+)/, "$4-$2-$3 ($1)") +
      "." +
      "Rules for the response:\n" +
      "Please do not use tags like <response>, <result> or <answer> in the response. it breaks the reader's attention to these stupid mistakes." +
      "Remember to always use the 'web_search' tool to gather information before writing a response." +
      "You are a graduate level AI, so please write responses accordingly." +
      "Never start with 'based on the search results,...' EVER! Always start with the information you found like an article!" +
      "Never use the heading format in your response!." +
      "Do not use print statements in the code execution tool, just the variables." +
      "Don't say things like 'Okay I am going to perform some action.' OR 'Certainly! To count the number of 'r's in the word 'strawberry', we can use a simple Python code. Let's use the programming tool to execute this task.' The user's DO NOT LIKE TO WAIT! REMEMBER THE THING ABOUT PRINT STATEMENTS! NEVER WRITE 'EM!" +
      "IMPORTANT!!!: Refrain from saying things like that mention that your going to perform a certain action, example: 'Certainly! I'll search for information about <something> using the web search tool.'",
    tools: {
      web_search: tool({
        description:
          "Search the web for information with the given query, max results and search depth.",
        parameters: z.object({
          query: z.string().describe("The search query to look up on the web."),
          maxResults: z
            .number()
            .describe(
              "The maximum number of results to return. Default to be used is 10.",
            ),
          searchDepth: z
            .enum(["basic", "advanced"])
            .describe(
              "The search depth to use for the search. Default is basic.",
            ),
          exclude_domains: z
            .array(z.string())
            .optional()
            .describe(
              "A list of domains to specifically exclude from the search results. Default is None, which doesn't exclude any domains.",
            ),
        }),
        execute: async ({
          query,
          maxResults,
          searchDepth,
          exclude_domains,
        }: {
          query: string;
          maxResults: number;
          searchDepth: "basic" | "advanced";
          exclude_domains?: string[];
        }) => {
          const apiKey = process.env.TAVILY_API_KEY;
          const response = await fetch("https://api.tavily.com/search", {
            method: "POST",
            headers: {
              "Content-Type": "application/json",
            },
            body: JSON.stringify({
              api_key: apiKey,
              query,
              max_results: maxResults < 5 ? 5 : maxResults,
              search_depth: searchDepth,
              include_answers: true,
              exclude_domains: exclude_domains,
            }),
          });

          const data = await response.json();

          let context = data.results.map(
            (obj: { url: any; content: any; title: any; raw_content: any }) => {
              return {
                url: obj.url,
                title: obj.title,
                content: obj.content,
                raw_content: obj.raw_content,
              };
            },
          );

          return {
            results: context,
          };
        },
      }),
      retrieve: tool({
        description: "Retrieve the information from a URL.",
        parameters: z.object({
          url: z.string().describe("The URL to retrieve the information from."),
        }),
        execute: async ({ url }: { url: string }) => {
          let hasError = false;

          let results;
          try {
            const response = await fetch(`https://r.jina.ai/${url}`, {
              method: "GET",
              headers: {
                Accept: "application/json",
                "X-With-Generated-Alt": "true",
              },
            });
            const json = await response.json();
            if (!json.data || json.data.length === 0) {
              hasError = true;
            } else {
              // Limit the content to 5000 characters
              if (json.data.content.length > 5000) {
                json.data.content = json.data.content.slice(0, 5000);
              }
              results = {
                results: [
                  {
                    title: json.data.title,
                    content: json.data.content,
                    url: json.data.url,
                  },
                ],
                query: "",
                images: [],
              };
            }
          } catch (error) {
            hasError = true;
            console.error("Retrieve API error:", error);
          }

          if (hasError || !results) {
            return results;
          }

          return results;
        },
      }),
      get_weather_data: tool({
        description: "Get the weather data for the given coordinates.",
        parameters: z.object({
          lat: z.number().describe("The latitude of the location."),
          lon: z.number().describe("The longitude of the location."),
        }),
        execute: async ({ lat, lon }: { lat: number; lon: number }) => {
          const apiKey = process.env.OPENWEATHER_API_KEY;
          const response = await fetch(
            `https://api.openweathermap.org/data/2.5/forecast?lat=${lat}&lon=${lon}&appid=${apiKey}`,
          );
          const data = await response.json();
          return data;
        },
      }),
      stock_chart_ui: tool({
        description:
          "Display the stock chart for the given stock symbol after web search.",
        parameters: z.object({
          symbol: z
            .string()
            .describe("The stock symbol to display the chart for."),
        }),
      }),
      programming: tool({
        description: "Write and execute Python code.",
        parameters: z.object({
          code: z.string().describe("The Python code to execute."),
        }),
        execute: async ({ code }: { code: string }) => {
          const sandbox = await CodeInterpreter.create();
          const execution = await sandbox.notebook.execCell(code);
          if (execution.results.length > 0) {
            let message: string = "";
            for (const result of execution.results) {
              if (result.isMainResult) {
                message += `${result.text}\n`;
              } else {
                message += `${result.text}\n`;
              }
              if (result.formats().length > 0) {
                message += `It has following formats: ${result.formats()}\n`;
              }
            }

            return message;
          }

          if (
            execution.logs.stdout.length > 0 ||
            execution.logs.stderr.length > 0
          ) {
            let message = "";
            if (execution.logs.stdout.length > 0) {
              message += `${execution.logs.stdout.join("\n")}\n`;
            }
            if (execution.logs.stderr.length > 0) {
              message += `${execution.logs.stderr.join("\n")}\n`;
            }

            return message;
          }

          return "There was no output of the execution.";
        },
      }),
    },
  });

  return result.toAIStreamResponse();
}