import { z } from "zod"
import type { Model } from "@opencode-ai/sdk/v2"

export const schema = z.object({
  data: z.array(
    z.object({
      model_picker_enabled: z.boolean(),
      id: z.string(),
      name: z.string(),
      // every version looks like: `{model.id}-YYYY-MM-DD`
      version: z.string(),
      supported_endpoints: z.array(z.string()).optional(),
      policy: z
        .object({
          state: z.string().optional(),
        })
        .optional(),
      capabilities: z.object({
        family: z.string(),
        limits: z.object({
          max_context_window_tokens: z.number(),
          max_output_tokens: z.number(),
          max_prompt_tokens: z.number(),
          vision: z
            .object({
              max_prompt_image_size: z.number(),
              max_prompt_images: z.number(),
              supported_media_types: z.array(z.string()),
            })
            .optional(),
        }),
        supports: z.object({
          adaptive_thinking: z.boolean().optional(),
          max_thinking_budget: z.number().optional(),
          min_thinking_budget: z.number().optional(),
          reasoning_effort: z.array(z.string()).optional(),
          streaming: z.boolean(),
          structured_outputs: z.boolean().optional(),
          tool_calls: z.boolean(),
          vision: z.boolean().optional(),
        }),
      }),
    }),
  ),
})

type Item = z.infer<typeof schema>["data"][number]

function build(key: string, remote: Item, url: string, prev?: Model): Model {
  const reasoning =
    !!remote.capabilities.supports.adaptive_thinking ||
    !!remote.capabilities.supports.reasoning_effort?.length ||
    remote.capabilities.supports.max_thinking_budget !== undefined ||
    remote.capabilities.supports.min_thinking_budget !== undefined
  const image =
    (remote.capabilities.supports.vision ?? false) ||
    (remote.capabilities.limits.vision?.supported_media_types ?? []).some((item) => item.startsWith("image/"))

  const isMsgApi = remote.supported_endpoints?.includes("/v1/messages")

  return {
    id: key,
    providerID: "github-copilot",
    api: {
      id: remote.id,
      url: isMsgApi ? `${url}/v1` : url,
      npm: isMsgApi ? "@ai-sdk/anthropic" : "@ai-sdk/github-copilot",
    },
    // API response wins
    status: "active",
    limit: {
      context: remote.capabilities.limits.max_context_window_tokens,
      input: remote.capabilities.limits.max_prompt_tokens,
      output: remote.capabilities.limits.max_output_tokens,
    },
    capabilities: {
      temperature: prev?.capabilities.temperature ?? true,
      reasoning: prev?.capabilities.reasoning ?? reasoning,
      attachment: prev?.capabilities.attachment ?? true,
      toolcall: remote.capabilities.supports.tool_calls,
      input: {
        text: true,
        audio: false,
        image,
        video: false,
        pdf: false,
      },
      output: {
        text: true,
        audio: false,
        image: false,
        video: false,
        pdf: false,
      },
      interleaved: false,
    },
    // existing wins
    family: prev?.family ?? remote.capabilities.family,
    name: prev?.name ?? remote.name,
    cost: {
      input: 0,
      output: 0,
      cache: { read: 0, write: 0 },
    },
    options: prev?.options ?? {},
    headers: prev?.headers ?? {},
    release_date:
      prev?.release_date ??
      (remote.version.startsWith(`${remote.id}-`) ? remote.version.slice(remote.id.length + 1) : remote.version),
    variants: prev?.variants ?? {},
  }
}

export async function get(
  baseURL: string,
  headers: HeadersInit = {},
  existing: Record<string, Model> = {},
): Promise<Record<string, Model>> {
  const data = await fetch(`${baseURL}/models`, {
    headers,
    signal: AbortSignal.timeout(5_000),
  }).then(async (res) => {
    if (!res.ok) {
      throw new Error(`Failed to fetch models: ${res.status}`)
    }
    return schema.parse(await res.json())
  })

  const result = { ...existing }
  const remote = new Map(
    data.data.filter((m) => m.model_picker_enabled && m.policy?.state !== "disabled").map((m) => [m.id, m] as const),
  )

  // prune existing models whose api.id isn't in the endpoint response
  for (const [key, model] of Object.entries(result)) {
    const m = remote.get(model.api.id)
    if (!m) {
      delete result[key]
      continue
    }
    result[key] = build(key, m, baseURL, model)
  }

  // add new endpoint models not already keyed in result
  for (const [id, m] of remote) {
    if (id in result) continue
    result[id] = build(id, m, baseURL)
  }

  return result
}

export * as CopilotModels from "./models"
