# This file was auto-generated by Fern from our API Definition.

import typing
import urllib.parse
from json.decoder import JSONDecodeError

from ...core.api_error import ApiError
from ...core.client_wrapper import AsyncClientWrapper, SyncClientWrapper
from ...core.remove_none_from_dict import remove_none_from_dict
from ...errors.unprocessable_entity_error import UnprocessableEntityError
from ...types.http_validation_error import HttpValidationError
from ...types.page_screenshot_metadata import PageScreenshotMetadata
from ...types.presigned_url import PresignedUrl

try:
    import pydantic
    if pydantic.__version__.startswith("1."):
        raise ImportError
    import pydantic.v1 as pydantic  # type: ignore
except ImportError:
    import pydantic  # type: ignore


class PageScreenshotsClient:
    def __init__(self, *, client_wrapper: SyncClientWrapper):
        self._client_wrapper = client_wrapper

    def list_file_page_screenshots(
        self, id: str, *, project_id: typing.Optional[str] = None, organization_id: typing.Optional[str] = None
    ) -> typing.List[PageScreenshotMetadata]:
        """
        List metadata for all screenshots of pages from a file.

        Parameters:
            - id: str.

            - project_id: typing.Optional[str].

            - organization_id: typing.Optional[str].
        ---
        from llama_cloud.client import LlamaCloud

        client = LlamaCloud(
            token="YOUR_TOKEN",
        )
        client.page_screenshots.list_file_page_screenshots(
            id="string",
        )
        """
        _response = self._client_wrapper.httpx_client.request(
            "GET",
            urllib.parse.urljoin(f"{self._client_wrapper.get_base_url()}/", f"api/v1/files/{id}/page_screenshots"),
            params=remove_none_from_dict({"project_id": project_id, "organization_id": organization_id}),
            headers=self._client_wrapper.get_headers(),
            timeout=60,
        )
        if 200 <= _response.status_code < 300:
            return pydantic.parse_obj_as(typing.List[PageScreenshotMetadata], _response.json())  # type: ignore
        if _response.status_code == 422:
            raise UnprocessableEntityError(pydantic.parse_obj_as(HttpValidationError, _response.json()))  # type: ignore
        try:
            _response_json = _response.json()
        except JSONDecodeError:
            raise ApiError(status_code=_response.status_code, body=_response.text)
        raise ApiError(status_code=_response.status_code, body=_response_json)

    def get_file_page_screenshot(
        self,
        id: str,
        page_index: int,
        *,
        project_id: typing.Optional[str] = None,
        organization_id: typing.Optional[str] = None,
    ) -> typing.Any:
        """
        Get screenshot of a page from a file.

        Parameters:
            - id: str.

            - page_index: int.

            - project_id: typing.Optional[str].

            - organization_id: typing.Optional[str].
        ---
        from llama_cloud.client import LlamaCloud

        client = LlamaCloud(
            token="YOUR_TOKEN",
        )
        client.page_screenshots.get_file_page_screenshot(
            id="string",
            page_index=1,
        )
        """
        _response = self._client_wrapper.httpx_client.request(
            "GET",
            urllib.parse.urljoin(
                f"{self._client_wrapper.get_base_url()}/", f"api/v1/files/{id}/page_screenshots/{page_index}"
            ),
            params=remove_none_from_dict({"project_id": project_id, "organization_id": organization_id}),
            headers=self._client_wrapper.get_headers(),
            timeout=60,
        )
        if 200 <= _response.status_code < 300:
            return pydantic.parse_obj_as(typing.Any, _response.json())  # type: ignore
        if _response.status_code == 422:
            raise UnprocessableEntityError(pydantic.parse_obj_as(HttpValidationError, _response.json()))  # type: ignore
        try:
            _response_json = _response.json()
        except JSONDecodeError:
            raise ApiError(status_code=_response.status_code, body=_response.text)
        raise ApiError(status_code=_response.status_code, body=_response_json)

    def generate_file_page_screenshot_presigned_url(
        self,
        id: str,
        page_index: int,
        *,
        project_id: typing.Optional[str] = None,
        organization_id: typing.Optional[str] = None,
    ) -> PresignedUrl:
        """
        Returns a presigned url to read a page screenshot.

        The presigned url is valid for a limited time period, after which it will expire.
        Be careful on accidental exposure of the presigned url, as it may allow unauthorized access to the file before the expiration.

        Parameters:
            - id: str.

            - page_index: int.

            - project_id: typing.Optional[str].

            - organization_id: typing.Optional[str].
        ---
        from llama_cloud.client import LlamaCloud

        client = LlamaCloud(
            token="YOUR_TOKEN",
        )
        client.page_screenshots.generate_file_page_screenshot_presigned_url(
            id="string",
            page_index=1,
        )
        """
        _response = self._client_wrapper.httpx_client.request(
            "POST",
            urllib.parse.urljoin(
                f"{self._client_wrapper.get_base_url()}/",
                f"api/v1/files/{id}/page_screenshots/{page_index}/presigned_url",
            ),
            params=remove_none_from_dict({"project_id": project_id, "organization_id": organization_id}),
            headers=self._client_wrapper.get_headers(),
            timeout=60,
        )
        if 200 <= _response.status_code < 300:
            return pydantic.parse_obj_as(PresignedUrl, _response.json())  # type: ignore
        if _response.status_code == 422:
            raise UnprocessableEntityError(pydantic.parse_obj_as(HttpValidationError, _response.json()))  # type: ignore
        try:
            _response_json = _response.json()
        except JSONDecodeError:
            raise ApiError(status_code=_response.status_code, body=_response.text)
        raise ApiError(status_code=_response.status_code, body=_response_json)


class AsyncPageScreenshotsClient:
    def __init__(self, *, client_wrapper: AsyncClientWrapper):
        self._client_wrapper = client_wrapper

    async def list_file_page_screenshots(
        self, id: str, *, project_id: typing.Optional[str] = None, organization_id: typing.Optional[str] = None
    ) -> typing.List[PageScreenshotMetadata]:
        """
        List metadata for all screenshots of pages from a file.

        Parameters:
            - id: str.

            - project_id: typing.Optional[str].

            - organization_id: typing.Optional[str].
        ---
        from llama_cloud.client import AsyncLlamaCloud

        client = AsyncLlamaCloud(
            token="YOUR_TOKEN",
        )
        await client.page_screenshots.list_file_page_screenshots(
            id="string",
        )
        """
        _response = await self._client_wrapper.httpx_client.request(
            "GET",
            urllib.parse.urljoin(f"{self._client_wrapper.get_base_url()}/", f"api/v1/files/{id}/page_screenshots"),
            params=remove_none_from_dict({"project_id": project_id, "organization_id": organization_id}),
            headers=self._client_wrapper.get_headers(),
            timeout=60,
        )
        if 200 <= _response.status_code < 300:
            return pydantic.parse_obj_as(typing.List[PageScreenshotMetadata], _response.json())  # type: ignore
        if _response.status_code == 422:
            raise UnprocessableEntityError(pydantic.parse_obj_as(HttpValidationError, _response.json()))  # type: ignore
        try:
            _response_json = _response.json()
        except JSONDecodeError:
            raise ApiError(status_code=_response.status_code, body=_response.text)
        raise ApiError(status_code=_response.status_code, body=_response_json)

    async def get_file_page_screenshot(
        self,
        id: str,
        page_index: int,
        *,
        project_id: typing.Optional[str] = None,
        organization_id: typing.Optional[str] = None,
    ) -> typing.Any:
        """
        Get screenshot of a page from a file.

        Parameters:
            - id: str.

            - page_index: int.

            - project_id: typing.Optional[str].

            - organization_id: typing.Optional[str].
        ---
        from llama_cloud.client import AsyncLlamaCloud

        client = AsyncLlamaCloud(
            token="YOUR_TOKEN",
        )
        await client.page_screenshots.get_file_page_screenshot(
            id="string",
            page_index=1,
        )
        """
        _response = await self._client_wrapper.httpx_client.request(
            "GET",
            urllib.parse.urljoin(
                f"{self._client_wrapper.get_base_url()}/", f"api/v1/files/{id}/page_screenshots/{page_index}"
            ),
            params=remove_none_from_dict({"project_id": project_id, "organization_id": organization_id}),
            headers=self._client_wrapper.get_headers(),
            timeout=60,
        )
        if 200 <= _response.status_code < 300:
            return pydantic.parse_obj_as(typing.Any, _response.json())  # type: ignore
        if _response.status_code == 422:
            raise UnprocessableEntityError(pydantic.parse_obj_as(HttpValidationError, _response.json()))  # type: ignore
        try:
            _response_json = _response.json()
        except JSONDecodeError:
            raise ApiError(status_code=_response.status_code, body=_response.text)
        raise ApiError(status_code=_response.status_code, body=_response_json)

    async def generate_file_page_screenshot_presigned_url(
        self,
        id: str,
        page_index: int,
        *,
        project_id: typing.Optional[str] = None,
        organization_id: typing.Optional[str] = None,
    ) -> PresignedUrl:
        """
        Returns a presigned url to read a page screenshot.

        The presigned url is valid for a limited time period, after which it will expire.
        Be careful on accidental exposure of the presigned url, as it may allow unauthorized access to the file before the expiration.

        Parameters:
            - id: str.

            - page_index: int.

            - project_id: typing.Optional[str].

            - organization_id: typing.Optional[str].
        ---
        from llama_cloud.client import AsyncLlamaCloud

        client = AsyncLlamaCloud(
            token="YOUR_TOKEN",
        )
        await client.page_screenshots.generate_file_page_screenshot_presigned_url(
            id="string",
            page_index=1,
        )
        """
        _response = await self._client_wrapper.httpx_client.request(
            "POST",
            urllib.parse.urljoin(
                f"{self._client_wrapper.get_base_url()}/",
                f"api/v1/files/{id}/page_screenshots/{page_index}/presigned_url",
            ),
            params=remove_none_from_dict({"project_id": project_id, "organization_id": organization_id}),
            headers=self._client_wrapper.get_headers(),
            timeout=60,
        )
        if 200 <= _response.status_code < 300:
            return pydantic.parse_obj_as(PresignedUrl, _response.json())  # type: ignore
        if _response.status_code == 422:
            raise UnprocessableEntityError(pydantic.parse_obj_as(HttpValidationError, _response.json()))  # type: ignore
        try:
            _response_json = _response.json()
        except JSONDecodeError:
            raise ApiError(status_code=_response.status_code, body=_response.text)
        raise ApiError(status_code=_response.status_code, body=_response_json)
