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

from __future__ import annotations

import os
import typing

import httpx
from .core.api_error import ApiError
from .core.client_wrapper import AsyncClientWrapper, SyncClientWrapper
from .core.logging import LogConfig, Logger
from .environment import SarvamAIEnvironment

if typing.TYPE_CHECKING:
    from .chat.client import AsyncChatClient, ChatClient
    from .document_intelligence.client import AsyncDocumentIntelligenceClient, DocumentIntelligenceClient
    from .pronunciation_dictionary.client import AsyncPronunciationDictionaryClient, PronunciationDictionaryClient
    from .speech_to_text.client import AsyncSpeechToTextClient, SpeechToTextClient
    from .speech_to_text_job.client import AsyncSpeechToTextJobClient, SpeechToTextJobClient
    from .speech_to_text_streaming.client import AsyncSpeechToTextStreamingClient, SpeechToTextStreamingClient
    from .speech_to_text_translate_job.client import AsyncSpeechToTextTranslateJobClient, SpeechToTextTranslateJobClient
    from .speech_to_text_translate_streaming.client import (
        AsyncSpeechToTextTranslateStreamingClient,
        SpeechToTextTranslateStreamingClient,
    )
    from .text.client import AsyncTextClient, TextClient
    from .text_to_speech.client import AsyncTextToSpeechClient, TextToSpeechClient
    from .text_to_speech_streaming.client import AsyncTextToSpeechStreamingClient, TextToSpeechStreamingClient


class SarvamAI:
    """
    Use this class to access the different functions within the SDK. You can instantiate any number of clients with different configuration that will propagate to these functions.

    Parameters
    ----------
    environment : SarvamAIEnvironment
        The environment to use for requests from the client. from .environment import SarvamAIEnvironment



        Defaults to SarvamAIEnvironment.PRODUCTION



    api_subscription_key : typing.Optional[str]
    headers : typing.Optional[typing.Dict[str, str]]
        Additional headers to send with every request.

    timeout : typing.Optional[float]
        The timeout to be used, in seconds, for requests. By default the timeout is 60 seconds, unless a custom httpx client is used, in which case this default is not enforced.

    follow_redirects : typing.Optional[bool]
        Whether the default httpx client follows redirects or not, this is irrelevant if a custom httpx client is passed in.

    httpx_client : typing.Optional[httpx.Client]
        The httpx client to use for making requests, a preconfigured client is used by default, however this is useful should you want to pass in any custom httpx configuration.

    logging : typing.Optional[typing.Union[LogConfig, Logger]]
        Configure logging for the SDK. Accepts a LogConfig dict with 'level' (debug/info/warn/error), 'logger' (custom logger implementation), and 'silent' (boolean, defaults to True) fields. You can also pass a pre-configured Logger instance.

    Examples
    --------
    from sarvamai import SarvamAI

    client = SarvamAI(
        api_subscription_key="YOUR_API_SUBSCRIPTION_KEY",
    )
    """

    def __init__(
        self,
        *,
        environment: SarvamAIEnvironment = SarvamAIEnvironment.PRODUCTION,
        api_subscription_key: typing.Optional[str] = os.getenv("SARVAM_API_KEY"),
        headers: typing.Optional[typing.Dict[str, str]] = None,
        timeout: typing.Optional[float] = None,
        follow_redirects: typing.Optional[bool] = True,
        httpx_client: typing.Optional[httpx.Client] = None,
        logging: typing.Optional[typing.Union[LogConfig, Logger]] = None,
    ):
        _defaulted_timeout = (
            timeout if timeout is not None else 60 if httpx_client is None else httpx_client.timeout.read
        )
        if api_subscription_key is None:
            raise ApiError(
                body="The client must be instantiated be either passing in api_subscription_key or setting SARVAM_API_KEY"
            )
        self._client_wrapper = SyncClientWrapper(
            environment=environment,
            api_subscription_key=api_subscription_key,
            headers=headers,
            httpx_client=httpx_client
            if httpx_client is not None
            else httpx.Client(timeout=_defaulted_timeout, follow_redirects=follow_redirects)
            if follow_redirects is not None
            else httpx.Client(timeout=_defaulted_timeout),
            timeout=_defaulted_timeout,
            logging=logging,
        )
        self._text: typing.Optional[TextClient] = None
        self._speech_to_text: typing.Optional[SpeechToTextClient] = None
        self._text_to_speech: typing.Optional[TextToSpeechClient] = None
        self._pronunciation_dictionary: typing.Optional[PronunciationDictionaryClient] = None
        self._chat: typing.Optional[ChatClient] = None
        self._speech_to_text_job: typing.Optional[SpeechToTextJobClient] = None
        self._speech_to_text_translate_job: typing.Optional[SpeechToTextTranslateJobClient] = None
        self._document_intelligence: typing.Optional[DocumentIntelligenceClient] = None
        self._speech_to_text_streaming: typing.Optional[SpeechToTextStreamingClient] = None
        self._speech_to_text_translate_streaming: typing.Optional[SpeechToTextTranslateStreamingClient] = None
        self._text_to_speech_streaming: typing.Optional[TextToSpeechStreamingClient] = None

    @property
    def text(self):
        if self._text is None:
            from .text.client import TextClient  # noqa: E402

            self._text = TextClient(client_wrapper=self._client_wrapper)
        return self._text

    @property
    def speech_to_text(self):
        if self._speech_to_text is None:
            from .speech_to_text.client import SpeechToTextClient  # noqa: E402

            self._speech_to_text = SpeechToTextClient(client_wrapper=self._client_wrapper)
        return self._speech_to_text

    @property
    def text_to_speech(self):
        if self._text_to_speech is None:
            from .text_to_speech.client import TextToSpeechClient  # noqa: E402

            self._text_to_speech = TextToSpeechClient(client_wrapper=self._client_wrapper)
        return self._text_to_speech

    @property
    def pronunciation_dictionary(self):
        if self._pronunciation_dictionary is None:
            from .pronunciation_dictionary.client import PronunciationDictionaryClient  # noqa: E402

            self._pronunciation_dictionary = PronunciationDictionaryClient(client_wrapper=self._client_wrapper)
        return self._pronunciation_dictionary

    @property
    def chat(self):
        if self._chat is None:
            from .chat.client import ChatClient  # noqa: E402

            self._chat = ChatClient(client_wrapper=self._client_wrapper)
        return self._chat

    @property
    def speech_to_text_job(self):
        if self._speech_to_text_job is None:
            from .speech_to_text_job.client import SpeechToTextJobClient  # noqa: E402

            self._speech_to_text_job = SpeechToTextJobClient(client_wrapper=self._client_wrapper)
        return self._speech_to_text_job

    @property
    def speech_to_text_translate_job(self):
        if self._speech_to_text_translate_job is None:
            from .speech_to_text_translate_job.client import SpeechToTextTranslateJobClient  # noqa: E402

            self._speech_to_text_translate_job = SpeechToTextTranslateJobClient(client_wrapper=self._client_wrapper)
        return self._speech_to_text_translate_job

    @property
    def document_intelligence(self):
        if self._document_intelligence is None:
            from .document_intelligence.client import DocumentIntelligenceClient  # noqa: E402

            self._document_intelligence = DocumentIntelligenceClient(client_wrapper=self._client_wrapper)
        return self._document_intelligence

    @property
    def speech_to_text_streaming(self):
        if self._speech_to_text_streaming is None:
            from .speech_to_text_streaming.client import SpeechToTextStreamingClient  # noqa: E402

            self._speech_to_text_streaming = SpeechToTextStreamingClient(client_wrapper=self._client_wrapper)
        return self._speech_to_text_streaming

    @property
    def speech_to_text_translate_streaming(self):
        if self._speech_to_text_translate_streaming is None:
            from .speech_to_text_translate_streaming.client import SpeechToTextTranslateStreamingClient  # noqa: E402

            self._speech_to_text_translate_streaming = SpeechToTextTranslateStreamingClient(
                client_wrapper=self._client_wrapper
            )
        return self._speech_to_text_translate_streaming

    @property
    def text_to_speech_streaming(self):
        if self._text_to_speech_streaming is None:
            from .text_to_speech_streaming.client import TextToSpeechStreamingClient  # noqa: E402

            self._text_to_speech_streaming = TextToSpeechStreamingClient(client_wrapper=self._client_wrapper)
        return self._text_to_speech_streaming


class AsyncSarvamAI:
    """
    Use this class to access the different functions within the SDK. You can instantiate any number of clients with different configuration that will propagate to these functions.

    Parameters
    ----------
    environment : SarvamAIEnvironment
        The environment to use for requests from the client. from .environment import SarvamAIEnvironment



        Defaults to SarvamAIEnvironment.PRODUCTION



    api_subscription_key : typing.Optional[str]
    headers : typing.Optional[typing.Dict[str, str]]
        Additional headers to send with every request.

    timeout : typing.Optional[float]
        The timeout to be used, in seconds, for requests. By default the timeout is 60 seconds, unless a custom httpx client is used, in which case this default is not enforced.

    follow_redirects : typing.Optional[bool]
        Whether the default httpx client follows redirects or not, this is irrelevant if a custom httpx client is passed in.

    httpx_client : typing.Optional[httpx.AsyncClient]
        The httpx client to use for making requests, a preconfigured client is used by default, however this is useful should you want to pass in any custom httpx configuration.

    logging : typing.Optional[typing.Union[LogConfig, Logger]]
        Configure logging for the SDK. Accepts a LogConfig dict with 'level' (debug/info/warn/error), 'logger' (custom logger implementation), and 'silent' (boolean, defaults to True) fields. You can also pass a pre-configured Logger instance.

    Examples
    --------
    from sarvamai import AsyncSarvamAI

    client = AsyncSarvamAI(
        api_subscription_key="YOUR_API_SUBSCRIPTION_KEY",
    )
    """

    def __init__(
        self,
        *,
        environment: SarvamAIEnvironment = SarvamAIEnvironment.PRODUCTION,
        api_subscription_key: typing.Optional[str] = os.getenv("SARVAM_API_KEY"),
        headers: typing.Optional[typing.Dict[str, str]] = None,
        timeout: typing.Optional[float] = None,
        follow_redirects: typing.Optional[bool] = True,
        httpx_client: typing.Optional[httpx.AsyncClient] = None,
        logging: typing.Optional[typing.Union[LogConfig, Logger]] = None,
    ):
        _defaulted_timeout = (
            timeout if timeout is not None else 60 if httpx_client is None else httpx_client.timeout.read
        )
        if api_subscription_key is None:
            raise ApiError(
                body="The client must be instantiated be either passing in api_subscription_key or setting SARVAM_API_KEY"
            )
        self._client_wrapper = AsyncClientWrapper(
            environment=environment,
            api_subscription_key=api_subscription_key,
            headers=headers,
            httpx_client=httpx_client
            if httpx_client is not None
            else httpx.AsyncClient(timeout=_defaulted_timeout, follow_redirects=follow_redirects)
            if follow_redirects is not None
            else httpx.AsyncClient(timeout=_defaulted_timeout),
            timeout=_defaulted_timeout,
            logging=logging,
        )
        self._text: typing.Optional[AsyncTextClient] = None
        self._speech_to_text: typing.Optional[AsyncSpeechToTextClient] = None
        self._text_to_speech: typing.Optional[AsyncTextToSpeechClient] = None
        self._pronunciation_dictionary: typing.Optional[AsyncPronunciationDictionaryClient] = None
        self._chat: typing.Optional[AsyncChatClient] = None
        self._speech_to_text_job: typing.Optional[AsyncSpeechToTextJobClient] = None
        self._speech_to_text_translate_job: typing.Optional[AsyncSpeechToTextTranslateJobClient] = None
        self._document_intelligence: typing.Optional[AsyncDocumentIntelligenceClient] = None
        self._speech_to_text_streaming: typing.Optional[AsyncSpeechToTextStreamingClient] = None
        self._speech_to_text_translate_streaming: typing.Optional[AsyncSpeechToTextTranslateStreamingClient] = None
        self._text_to_speech_streaming: typing.Optional[AsyncTextToSpeechStreamingClient] = None

    @property
    def text(self):
        if self._text is None:
            from .text.client import AsyncTextClient  # noqa: E402

            self._text = AsyncTextClient(client_wrapper=self._client_wrapper)
        return self._text

    @property
    def speech_to_text(self):
        if self._speech_to_text is None:
            from .speech_to_text.client import AsyncSpeechToTextClient  # noqa: E402

            self._speech_to_text = AsyncSpeechToTextClient(client_wrapper=self._client_wrapper)
        return self._speech_to_text

    @property
    def text_to_speech(self):
        if self._text_to_speech is None:
            from .text_to_speech.client import AsyncTextToSpeechClient  # noqa: E402

            self._text_to_speech = AsyncTextToSpeechClient(client_wrapper=self._client_wrapper)
        return self._text_to_speech

    @property
    def pronunciation_dictionary(self):
        if self._pronunciation_dictionary is None:
            from .pronunciation_dictionary.client import AsyncPronunciationDictionaryClient  # noqa: E402

            self._pronunciation_dictionary = AsyncPronunciationDictionaryClient(client_wrapper=self._client_wrapper)
        return self._pronunciation_dictionary

    @property
    def chat(self):
        if self._chat is None:
            from .chat.client import AsyncChatClient  # noqa: E402

            self._chat = AsyncChatClient(client_wrapper=self._client_wrapper)
        return self._chat

    @property
    def speech_to_text_job(self):
        if self._speech_to_text_job is None:
            from .speech_to_text_job.client import AsyncSpeechToTextJobClient  # noqa: E402

            self._speech_to_text_job = AsyncSpeechToTextJobClient(client_wrapper=self._client_wrapper)
        return self._speech_to_text_job

    @property
    def speech_to_text_translate_job(self):
        if self._speech_to_text_translate_job is None:
            from .speech_to_text_translate_job.client import AsyncSpeechToTextTranslateJobClient  # noqa: E402

            self._speech_to_text_translate_job = AsyncSpeechToTextTranslateJobClient(
                client_wrapper=self._client_wrapper
            )
        return self._speech_to_text_translate_job

    @property
    def document_intelligence(self):
        if self._document_intelligence is None:
            from .document_intelligence.client import AsyncDocumentIntelligenceClient  # noqa: E402

            self._document_intelligence = AsyncDocumentIntelligenceClient(client_wrapper=self._client_wrapper)
        return self._document_intelligence

    @property
    def speech_to_text_streaming(self):
        if self._speech_to_text_streaming is None:
            from .speech_to_text_streaming.client import AsyncSpeechToTextStreamingClient  # noqa: E402

            self._speech_to_text_streaming = AsyncSpeechToTextStreamingClient(client_wrapper=self._client_wrapper)
        return self._speech_to_text_streaming

    @property
    def speech_to_text_translate_streaming(self):
        if self._speech_to_text_translate_streaming is None:
            from .speech_to_text_translate_streaming.client import (
                AsyncSpeechToTextTranslateStreamingClient,  # noqa: E402
            )

            self._speech_to_text_translate_streaming = AsyncSpeechToTextTranslateStreamingClient(
                client_wrapper=self._client_wrapper
            )
        return self._speech_to_text_translate_streaming

    @property
    def text_to_speech_streaming(self):
        if self._text_to_speech_streaming is None:
            from .text_to_speech_streaming.client import AsyncTextToSpeechStreamingClient  # noqa: E402

            self._text_to_speech_streaming = AsyncTextToSpeechStreamingClient(client_wrapper=self._client_wrapper)
        return self._text_to_speech_streaming