import base64
import datetime
import functools
import http.client
import json
import logging
import os
import re
import socket
import sys
import threading
from copy import deepcopy
from pathlib import Path
from typing import (
    IO,
    TYPE_CHECKING,
    Any,
    Callable,
    Dict,
    Iterable,
    List,
    Literal,
    Mapping,
    MutableMapping,
    NamedTuple,
    Optional,
    Sequence,
    TextIO,
    Tuple,
    Union,
)

import click
import requests
import yaml
from wandb_gql import Client, gql
from wandb_gql.client import RetryError
from wandb_graphql.language.ast import Document

import wandb
from wandb import env, util
from wandb.apis.normalize import normalize_exceptions, parse_backend_error_messages
from wandb.errors import AuthenticationError, CommError, UnsupportedError, UsageError
from wandb.integration.sagemaker import parse_sm_secrets
from wandb.old.settings import Settings
from wandb.proto.wandb_internal_pb2 import ServerFeature
from wandb.sdk.artifacts._validators import is_artifact_registry_project
from wandb.sdk.internal._generated import SERVER_FEATURES_QUERY_GQL, ServerFeaturesQuery
from wandb.sdk.internal.thread_local_settings import _thread_local_api_settings
from wandb.sdk.lib.gql_request import GraphQLSession
from wandb.sdk.lib.hashutil import B64MD5, md5_file_b64

from ..lib import credentials, retry
from ..lib.filenames import DIFF_FNAME, METADATA_FNAME
from ..lib.gitlib import GitRepo
from . import context
from .progress import Progress

logger = logging.getLogger(__name__)

LAUNCH_DEFAULT_PROJECT = "model-registry"

if TYPE_CHECKING:
    from typing import Literal, TypedDict

    from .progress import ProgressFn

    class CreateArtifactFileSpecInput(TypedDict, total=False):
        """Corresponds to `type CreateArtifactFileSpecInput` in schema.graphql."""

        artifactID: str
        name: str
        md5: str
        mimetype: Optional[str]
        artifactManifestID: Optional[str]
        uploadPartsInput: Optional[List[Dict[str, object]]]

    class CreateArtifactFilesResponseFile(TypedDict):
        id: str
        name: str
        displayName: str
        uploadUrl: Optional[str]
        uploadHeaders: Sequence[str]
        uploadMultipartUrls: "UploadPartsResponse"
        storagePath: str
        artifact: "CreateArtifactFilesResponseFileNode"

    class CreateArtifactFilesResponseFileNode(TypedDict):
        id: str

    class UploadPartsResponse(TypedDict):
        uploadUrlParts: List["UploadUrlParts"]
        uploadID: str

    class UploadUrlParts(TypedDict):
        partNumber: int
        uploadUrl: str

    class CompleteMultipartUploadArtifactInput(TypedDict):
        """Corresponds to `type CompleteMultipartUploadArtifactInput` in schema.graphql."""

        completeMultipartAction: str
        completedParts: Dict[int, str]
        artifactID: str
        storagePath: str
        uploadID: str
        md5: str

    class CompleteMultipartUploadArtifactResponse(TypedDict):
        digest: str

    class DefaultSettings(TypedDict):
        section: str
        git_remote: str
        ignore_globs: Optional[List[str]]
        base_url: Optional[str]
        root_dir: Optional[str]
        api_key: Optional[str]
        entity: Optional[str]
        organization: Optional[str]
        project: Optional[str]
        _extra_http_headers: Optional[Mapping[str, str]]
        _proxies: Optional[Mapping[str, str]]

    _Response = MutableMapping
    SweepState = Literal["RUNNING", "PAUSED", "CANCELED", "FINISHED"]
    Number = Union[int, float]

# class _MappingSupportsCopy(Protocol):
#     def copy(self) -> "_MappingSupportsCopy": ...
#     def keys(self) -> Iterable: ...
#     def __getitem__(self, name: str) -> Any: ...

httpclient_logger = logging.getLogger("http.client")
if os.environ.get("WANDB_DEBUG"):
    httpclient_logger.setLevel(logging.DEBUG)


def check_httpclient_logger_handler() -> None:
    # Only enable http.client logging if WANDB_DEBUG is set
    if not os.environ.get("WANDB_DEBUG"):
        return
    if httpclient_logger.handlers:
        return

    # Enable HTTPConnection debug logging to the logging framework
    level = logging.DEBUG

    def httpclient_log(*args: Any) -> None:
        httpclient_logger.log(level, " ".join(args))

    # mask the print() built-in in the http.client module to use logging instead
    http.client.print = httpclient_log  # type: ignore[attr-defined]
    # enable debugging
    http.client.HTTPConnection.debuglevel = 1

    root_logger = logging.getLogger("wandb")
    if root_logger.handlers:
        httpclient_logger.addHandler(root_logger.handlers[0])


class _ThreadLocalData(threading.local):
    context: Optional[context.Context]

    def __init__(self) -> None:
        self.context = None


class _OrgNames(NamedTuple):
    entity_name: str
    display_name: str


def _match_org_with_fetched_org_entities(
    organization: str, orgs: Sequence[_OrgNames]
) -> str:
    """Match the organization provided in the path with the org entity or org name of the input entity.

    Args:
        organization: The organization name to match
        orgs: List of tuples containing (org_entity_name, org_display_name)

    Returns:
        str: The matched org entity name

    Raises:
        ValueError: If no matching organization is found or if multiple orgs exist without a match
    """
    for org_names in orgs:
        if organization in org_names:
            return org_names.entity_name

    if len(orgs) == 1:
        raise ValueError(
            f"Expecting the organization name or entity name to match {orgs[0].display_name!r} "
            f"and cannot be linked/fetched with {organization!r}. "
            "Please update the target path with the correct organization name."
        )

    raise ValueError(
        "Personal entity belongs to multiple organizations "
        f"and cannot be linked/fetched with {organization!r}. "
        "Please update the target path with the correct organization name "
        "or use a team entity in the entity settings."
    )


class Api:
    """W&B Internal Api wrapper.

    Note:
        Settings are automatically overridden by looking for
        a `wandb/settings` file in the current working directory or its parent
        directory. If none can be found, we look in the current user's home
        directory.

    Args:
        default_settings(dict, optional): If you aren't using a settings
        file, or you wish to override the section to use in the settings file
        Override the settings here.
    """

    HTTP_TIMEOUT = env.get_http_timeout(20)
    FILE_PUSHER_TIMEOUT = env.get_file_pusher_timeout()
    _global_context: context.Context
    _local_data: _ThreadLocalData

    def __init__(
        self,
        default_settings: Optional[
            Union[
                "wandb.sdk.wandb_settings.Settings",
                "wandb.sdk.internal.settings_static.SettingsStatic",
                Settings,
                dict,
            ]
        ] = None,
        load_settings: bool = True,
        retry_timedelta: datetime.timedelta = datetime.timedelta(  # okay because it's immutable
            days=7
        ),
        environ: MutableMapping = os.environ,
        retry_callback: Optional[Callable[[int, str], Any]] = None,
        api_key: Optional[str] = None,
    ) -> None:
        self._environ = environ
        self._global_context = context.Context()
        self._local_data = _ThreadLocalData()
        self.default_settings: DefaultSettings = {
            "section": "default",
            "git_remote": "origin",
            "ignore_globs": [],
            "base_url": "https://api.wandb.ai",
            "root_dir": None,
            "api_key": None,
            "entity": None,
            "organization": None,
            "project": None,
            "_extra_http_headers": None,
            "_proxies": None,
        }
        self.retry_timedelta = retry_timedelta
        # todo: Old Settings do not follow the SupportsKeysAndGetItem Protocol
        default_settings = default_settings or {}
        self.default_settings.update(default_settings)  # type: ignore
        self.retry_uploads = 10
        self._settings = Settings(
            load_settings=load_settings,
            root_dir=self.default_settings.get("root_dir"),
        )
        self.git = GitRepo(remote=self.settings("git_remote"))
        # Mutable settings set by the _file_stream_api
        self.dynamic_settings = {
            "system_sample_seconds": 2,
            "system_samples": 15,
            "heartbeat_seconds": 30,
        }

        # todo: remove these hacky hacks after settings refactor is complete
        #  keeping this code here to limit scope and so that it is easy to remove later
        self._extra_http_headers = self.settings("_extra_http_headers") or json.loads(
            self._environ.get("WANDB__EXTRA_HTTP_HEADERS", "{}")
        )
        self._extra_http_headers.update(_thread_local_api_settings.headers or {})

        auth = None
        if api_key:
            auth = ("api", api_key)
        elif self.access_token is not None:
            self._extra_http_headers["Authorization"] = f"Bearer {self.access_token}"
        elif _thread_local_api_settings.cookies is None:
            auth = ("api", self.api_key or "")

        proxies = self.settings("_proxies") or json.loads(
            self._environ.get("WANDB__PROXIES", "{}")
        )

        self.client = Client(
            transport=GraphQLSession(
                headers={
                    "User-Agent": self.user_agent,
                    "X-WANDB-USERNAME": env.get_username(env=self._environ),
                    "X-WANDB-USER-EMAIL": env.get_user_email(env=self._environ),
                    **self._extra_http_headers,
                },
                use_json=True,
                # this timeout won't apply when the DNS lookup fails. in that case, it will be 60s
                # https://bugs.python.org/issue22889
                timeout=self.HTTP_TIMEOUT,
                auth=auth,
                url=f"{self.settings('base_url')}/graphql",
                cookies=_thread_local_api_settings.cookies,
                proxies=proxies,
            )
        )

        self.retry_callback = retry_callback
        self._retry_gql = retry.Retry(
            self.execute,
            retry_timedelta=retry_timedelta,
            check_retry_fn=util.no_retry_auth,
            retryable_exceptions=(RetryError, requests.RequestException),
            retry_callback=retry_callback,
        )
        self._current_run_id: Optional[str] = None
        self._file_stream_api = None
        self._upload_file_session = requests.Session()
        if self.FILE_PUSHER_TIMEOUT:
            self._upload_file_session.put = functools.partial(  # type: ignore
                self._upload_file_session.put,
                timeout=self.FILE_PUSHER_TIMEOUT,
            )
        if proxies:
            self._upload_file_session.proxies.update(proxies)
        # This Retry class is initialized once for each Api instance, so this
        # defaults to retrying 1 million times per process or 7 days
        self.upload_file_retry = normalize_exceptions(
            retry.retriable(retry_timedelta=retry_timedelta)(self.upload_file)
        )
        self.upload_multipart_file_chunk_retry = normalize_exceptions(
            retry.retriable(retry_timedelta=retry_timedelta)(
                self.upload_multipart_file_chunk
            )
        )
        self._client_id_mapping: Dict[str, str] = {}
        # Large file uploads to azure can optionally use their SDK
        self._azure_blob_module = util.get_module("azure.storage.blob")

        self.query_types: Optional[List[str]] = None
        self.mutation_types: Optional[List[str]] = None
        self.server_info_types: Optional[List[str]] = None
        self.server_use_artifact_input_info: Optional[List[str]] = None
        self.server_create_artifact_input_info: Optional[List[str]] = None
        self.server_artifact_fields_info: Optional[List[str]] = None
        self.server_organization_type_fields_info: Optional[List[str]] = None
        self.server_supports_enabling_artifact_usage_tracking: Optional[bool] = None
        self._max_cli_version: Optional[str] = None
        self._server_settings_type: Optional[List[str]] = None
        self.fail_run_queue_item_input_info: Optional[List[str]] = None
        self.create_launch_agent_input_info: Optional[List[str]] = None
        self.server_create_run_queue_supports_drc: Optional[bool] = None
        self.server_create_run_queue_supports_priority: Optional[bool] = None
        self.server_supports_template_variables: Optional[bool] = None
        self.server_push_to_run_queue_supports_priority: Optional[bool] = None
        self._server_features_cache: Optional[Dict[str, bool]] = None

    def gql(self, *args: Any, **kwargs: Any) -> Any:
        ret = self._retry_gql(
            *args,
            retry_cancel_event=self.context.cancel_event,
            **kwargs,
        )
        return ret

    def set_local_context(self, api_context: Optional[context.Context]) -> None:
        self._local_data.context = api_context

    def clear_local_context(self) -> None:
        self._local_data.context = None

    @property
    def context(self) -> context.Context:
        return self._local_data.context or self._global_context

    def reauth(self) -> None:
        """Ensure the current api key is set in the transport."""
        self.client.transport.session.auth = ("api", self.api_key or "")

    def relocate(self) -> None:
        """Ensure the current api points to the right server."""
        self.client.transport.url = "{}/graphql".format(self.settings("base_url"))

    def execute(self, *args: Any, **kwargs: Any) -> "_Response":
        """Wrapper around execute that logs in cases of failure."""
        try:
            return self.client.execute(*args, **kwargs)  # type: ignore
        except requests.exceptions.HTTPError as err:
            response = err.response
            assert response is not None
            logger.exception("Error executing GraphQL.")
            for error in parse_backend_error_messages(response):
                wandb.termerror(f"Error while calling W&B API: {error} ({response})")
            raise

    def validate_api_key(self) -> bool:
        """Returns whether the API key stored on initialization is valid."""
        res = self.execute(gql("query { viewer { id } }"))
        return res is not None and res["viewer"] is not None

    def set_current_run_id(self, run_id: str) -> None:
        self._current_run_id = run_id

    @property
    def current_run_id(self) -> Optional[str]:
        return self._current_run_id

    @property
    def user_agent(self) -> str:
        return f"W&B Internal Client {wandb.__version__}"

    @property
    def api_key(self) -> Optional[str]:
        if _thread_local_api_settings.api_key:
            return _thread_local_api_settings.api_key
        auth = requests.utils.get_netrc_auth(self.api_url)
        key = None
        if auth:
            key = auth[-1]

        # Environment should take precedence
        env_key: Optional[str] = self._environ.get(env.API_KEY)
        sagemaker_key: Optional[str] = parse_sm_secrets().get(env.API_KEY)
        default_key: Optional[str] = self.default_settings.get("api_key")
        return env_key or key or sagemaker_key or default_key

    @property
    def access_token(self) -> Optional[str]:
        """Retrieves an access token for authentication.

        This function attempts to exchange an identity token for a temporary
        access token from the server, and save it to the credentials file.
        It uses the path to the identity token as defined in the environment
        variables. If the environment variable is not set, it returns None.

        Returns:
            Optional[str]: The access token if available, otherwise None if
            no identity token is supplied.
        Raises:
            AuthenticationError: If the path to the identity token is not found.
        """
        token_file_str = self._environ.get(env.IDENTITY_TOKEN_FILE)
        if not token_file_str:
            return None

        token_file = Path(token_file_str)
        if not token_file.exists():
            raise AuthenticationError(f"Identity token file not found: {token_file}")

        base_url = self.settings("base_url")
        credentials_file = env.get_credentials_file(
            str(credentials.DEFAULT_WANDB_CREDENTIALS_FILE), self._environ
        )
        return credentials.access_token(base_url, token_file, credentials_file)

    @property
    def api_url(self) -> str:
        return self.settings("base_url")  # type: ignore

    @property
    def app_url(self) -> str:
        return wandb.util.app_url(self.api_url)

    @property
    def default_entity(self) -> str:
        return self.viewer().get("entity")  # type: ignore

    def settings(self, key: Optional[str] = None, section: Optional[str] = None) -> Any:
        """The settings overridden from the wandb/settings file.

        Args:
            key (str, optional): If provided only this setting is returned
            section (str, optional): If provided this section of the setting file is
            used, defaults to "default"

        Returns:
            A dict with the current settings

                {
                    "entity": "models",
                    "base_url": "https://api.wandb.ai",
                    "project": None,
                    "organization": "my-org",
                }
        """
        result = self.default_settings.copy()
        result.update(self._settings.items(section=section))  # type: ignore
        result.update(
            {
                "entity": env.get_entity(
                    self._settings.get(
                        Settings.DEFAULT_SECTION,
                        "entity",
                        fallback=result.get("entity"),
                    ),
                    env=self._environ,
                ),
                "organization": env.get_organization(
                    self._settings.get(
                        Settings.DEFAULT_SECTION,
                        "organization",
                        fallback=result.get("organization"),
                    ),
                    env=self._environ,
                ),
                "project": env.get_project(
                    self._settings.get(
                        Settings.DEFAULT_SECTION,
                        "project",
                        fallback=result.get("project"),
                    ),
                    env=self._environ,
                ),
                "base_url": env.get_base_url(
                    self._settings.get(
                        Settings.DEFAULT_SECTION,
                        "base_url",
                        fallback=result.get("base_url"),
                    ),
                    env=self._environ,
                ),
                "ignore_globs": env.get_ignore(
                    self._settings.get(
                        Settings.DEFAULT_SECTION,
                        "ignore_globs",
                        fallback=result.get("ignore_globs"),
                    ),
                    env=self._environ,
                ),
            }
        )

        return result if key is None else result[key]  # type: ignore

    def clear_setting(
        self, key: str, globally: bool = False, persist: bool = False
    ) -> None:
        self._settings.clear(
            Settings.DEFAULT_SECTION, key, globally=globally, persist=persist
        )

    def set_setting(
        self, key: str, value: Any, globally: bool = False, persist: bool = False
    ) -> None:
        self._settings.set(
            Settings.DEFAULT_SECTION, key, value, globally=globally, persist=persist
        )
        if key == "entity":
            env.set_entity(value, env=self._environ)
        elif key == "project":
            env.set_project(value, env=self._environ)
        elif key == "base_url":
            self.relocate()

    def parse_slug(
        self, slug: str, project: Optional[str] = None, run: Optional[str] = None
    ) -> Tuple[str, str]:
        """Parse a slug into a project and run.

        Args:
            slug (str): The slug to parse
            project (str, optional): The project to use, if not provided it will be
            inferred from the slug
            run (str, optional): The run to use, if not provided it will be inferred
            from the slug

        Returns:
            A dict with the project and run
        """
        if slug and "/" in slug:
            parts = slug.split("/")
            project = parts[0]
            run = parts[1]
        else:
            project = project or self.settings().get("project")
            if project is None:
                raise CommError("No default project configured.")
            run = run or slug or self.current_run_id or env.get_run(env=self._environ)
            assert run, "run must be specified"
        return project, run

    @normalize_exceptions
    def server_info_introspection(self) -> Tuple[List[str], List[str], List[str]]:
        query_string = """
           query ProbeServerCapabilities {
               QueryType: __type(name: "Query") {
                   ...fieldData
                }
                MutationType: __type(name: "Mutation") {
                   ...fieldData
                }
               ServerInfoType: __type(name: "ServerInfo") {
                   ...fieldData
                }
            }

            fragment fieldData on __Type {
                fields {
                    name
                }
            }
        """
        if (
            self.query_types is None
            or self.mutation_types is None
            or self.server_info_types is None
        ):
            query = gql(query_string)
            res = self.gql(query)

            self.query_types = [
                field.get("name", "")
                for field in res.get("QueryType", {}).get("fields", [{}])
            ]
            self.mutation_types = [
                field.get("name", "")
                for field in res.get("MutationType", {}).get("fields", [{}])
            ]
            self.server_info_types = [
                field.get("name", "")
                for field in res.get("ServerInfoType", {}).get("fields", [{}])
            ]
        return self.query_types, self.server_info_types, self.mutation_types

    @normalize_exceptions
    def server_settings_introspection(self) -> None:
        query_string = """
           query ProbeServerSettings {
               ServerSettingsType: __type(name: "ServerSettings") {
                   ...fieldData
                }
            }

            fragment fieldData on __Type {
                fields {
                    name
                }
            }
        """
        if self._server_settings_type is None:
            query = gql(query_string)
            res = self.gql(query)
            self._server_settings_type = (
                [
                    field.get("name", "")
                    for field in res.get("ServerSettingsType", {}).get("fields", [{}])
                ]
                if res
                else []
            )

    def server_use_artifact_input_introspection(self) -> List:
        query_string = """
           query ProbeServerUseArtifactInput {
               UseArtifactInputInfoType: __type(name: "UseArtifactInput") {
                   name
                   inputFields {
                       name
                   }
                }
            }
        """

        if self.server_use_artifact_input_info is None:
            query = gql(query_string)
            res = self.gql(query)
            self.server_use_artifact_input_info = [
                field.get("name", "")
                for field in res.get("UseArtifactInputInfoType", {}).get(
                    "inputFields", [{}]
                )
            ]
        return self.server_use_artifact_input_info

    @normalize_exceptions
    def launch_agent_introspection(self) -> Optional[str]:
        query = gql(
            """
            query LaunchAgentIntrospection {
                LaunchAgentType: __type(name: "LaunchAgent") {
                    name
                }
            }
        """
        )

        res = self.gql(query)
        return res.get("LaunchAgentType") or None

    @normalize_exceptions
    def create_run_queue_introspection(self) -> Tuple[bool, bool, bool]:
        _, _, mutations = self.server_info_introspection()
        query_string = """
           query ProbeCreateRunQueueInput {
               CreateRunQueueInputType: __type(name: "CreateRunQueueInput") {
                   name
                   inputFields {
                       name
                   }
                }
            }
        """
        if (
            self.server_create_run_queue_supports_drc is None
            or self.server_create_run_queue_supports_priority is None
        ):
            query = gql(query_string)
            res = self.gql(query)
            if res is None:
                raise CommError("Could not get CreateRunQueue input from GQL.")
            self.server_create_run_queue_supports_drc = "defaultResourceConfigID" in [
                x["name"]
                for x in (
                    res.get("CreateRunQueueInputType", {}).get("inputFields", [{}])
                )
            ]
            self.server_create_run_queue_supports_priority = "prioritizationMode" in [
                x["name"]
                for x in (
                    res.get("CreateRunQueueInputType", {}).get("inputFields", [{}])
                )
            ]
        return (
            "createRunQueue" in mutations,
            self.server_create_run_queue_supports_drc,
            self.server_create_run_queue_supports_priority,
        )

    @normalize_exceptions
    def upsert_run_queue_introspection(self) -> bool:
        _, _, mutations = self.server_info_introspection()
        return "upsertRunQueue" in mutations

    @normalize_exceptions
    def push_to_run_queue_introspection(self) -> Tuple[bool, bool]:
        query_string = """
            query ProbePushToRunQueueInput {
                PushToRunQueueInputType: __type(name: "PushToRunQueueInput") {
                    name
                    inputFields {
                        name
                    }
                }
            }
        """

        if (
            self.server_supports_template_variables is None
            or self.server_push_to_run_queue_supports_priority is None
        ):
            query = gql(query_string)
            res = self.gql(query)
            self.server_supports_template_variables = "templateVariableValues" in [
                x["name"]
                for x in (
                    res.get("PushToRunQueueInputType", {}).get("inputFields", [{}])
                )
            ]
            self.server_push_to_run_queue_supports_priority = "priority" in [
                x["name"]
                for x in (
                    res.get("PushToRunQueueInputType", {}).get("inputFields", [{}])
                )
            ]

        return (
            self.server_supports_template_variables,
            self.server_push_to_run_queue_supports_priority,
        )

    @normalize_exceptions
    def create_default_resource_config_introspection(self) -> bool:
        _, _, mutations = self.server_info_introspection()
        return "createDefaultResourceConfig" in mutations

    @normalize_exceptions
    def fail_run_queue_item_introspection(self) -> bool:
        _, _, mutations = self.server_info_introspection()
        return "failRunQueueItem" in mutations

    @normalize_exceptions
    def fail_run_queue_item_fields_introspection(self) -> List:
        if self.fail_run_queue_item_input_info:
            return self.fail_run_queue_item_input_info
        query_string = """
           query ProbeServerFailRunQueueItemInput {
                FailRunQueueItemInputInfoType: __type(name:"FailRunQueueItemInput") {
                    inputFields{
                        name
                    }
                }
            }
        """

        query = gql(query_string)
        res = self.gql(query)

        self.fail_run_queue_item_input_info = [
            field.get("name", "")
            for field in res.get("FailRunQueueItemInputInfoType", {}).get(
                "inputFields", [{}]
            )
        ]
        return self.fail_run_queue_item_input_info

    @normalize_exceptions
    def fail_run_queue_item(
        self,
        run_queue_item_id: str,
        message: str,
        stage: str,
        file_paths: Optional[List[str]] = None,
    ) -> bool:
        if not self.fail_run_queue_item_introspection():
            return False
        variable_values: Dict[str, Union[str, Optional[List[str]]]] = {
            "runQueueItemId": run_queue_item_id,
        }
        if "message" in self.fail_run_queue_item_fields_introspection():
            variable_values.update({"message": message, "stage": stage})
            if file_paths is not None:
                variable_values["filePaths"] = file_paths
            mutation_string = """
            mutation failRunQueueItem($runQueueItemId: ID!, $message: String!, $stage: String!, $filePaths: [String!]) {
                failRunQueueItem(
                    input: {
                        runQueueItemId: $runQueueItemId
                        message: $message
                        stage: $stage
                        filePaths: $filePaths
                    }
                ) {
                    success
                }
            }
            """
        else:
            mutation_string = """
            mutation failRunQueueItem($runQueueItemId: ID!) {
                failRunQueueItem(
                    input: {
                        runQueueItemId: $runQueueItemId
                    }
                ) {
                    success
                }
            }
            """

        mutation = gql(mutation_string)
        response = self.gql(mutation, variable_values=variable_values)
        result: bool = response["failRunQueueItem"]["success"]
        return result

    @normalize_exceptions
    def update_run_queue_item_warning_introspection(self) -> bool:
        _, _, mutations = self.server_info_introspection()
        return "updateRunQueueItemWarning" in mutations

    def _server_features(self) -> Dict[str, bool]:
        # NOTE: Avoid caching via `@cached_property`, due to undocumented
        # locking behavior before Python 3.12.
        # See: https://github.com/python/cpython/issues/87634
        query = gql(SERVER_FEATURES_QUERY_GQL)
        try:
            response = self.gql(query)
        except Exception as e:
            # Unfortunately we currently have to match on the text of the error message,
            # as the `gql` client raises `Exception` rather than a more specific error.
            if 'Cannot query field "features" on type "ServerInfo".' in str(e):
                self._server_features_cache = {}
            else:
                raise
        else:
            info = ServerFeaturesQuery.model_validate(response).server_info
            if info and (feats := info.features):
                self._server_features_cache = {f.name: f.is_enabled for f in feats if f}
            else:
                self._server_features_cache = {}
        return self._server_features_cache

    def _server_supports(self, feature: Union[int, str]) -> bool:
        """Return whether the current server supports the given feature.

        This also caches the underlying lookup of server feature flags,
        and it maps {feature_name (str) -> is_enabled (bool)}.

        Good to use for features that have a fallback mechanism for older servers.
        """
        # If we're given the protobuf enum value, convert to a string name.
        # NOTE: We deliberately use names (str) instead of enum values (int)
        # as the keys here, since:
        # - the server identifies features by their name, rather than (client-side) enum value
        # - the defined list of client-side flags may be behind the server-side list of flags
        key = ServerFeature.Name(feature) if isinstance(feature, int) else feature
        return self._server_features().get(key) or False

    @normalize_exceptions
    def update_run_queue_item_warning(
        self,
        run_queue_item_id: str,
        message: str,
        stage: str,
        file_paths: Optional[List[str]] = None,
    ) -> bool:
        if not self.update_run_queue_item_warning_introspection():
            return False
        mutation = gql(
            """
        mutation updateRunQueueItemWarning($runQueueItemId: ID!, $message: String!, $stage: String!, $filePaths: [String!]) {
            updateRunQueueItemWarning(
                input: {
                    runQueueItemId: $runQueueItemId
                    message: $message
                    stage: $stage
                    filePaths: $filePaths
                }
            ) {
                success
            }
        }
        """
        )
        response = self.gql(
            mutation,
            variable_values={
                "runQueueItemId": run_queue_item_id,
                "message": message,
                "stage": stage,
                "filePaths": file_paths,
            },
        )
        result: bool = response["updateRunQueueItemWarning"]["success"]
        return result

    @normalize_exceptions
    def viewer(self) -> Dict[str, Any]:
        query = gql(
            """
        query Viewer{
            viewer {
                id
                entity
                username
                flags
                teams {
                    edges {
                        node {
                            name
                        }
                    }
                }
            }
        }
        """
        )
        res = self.gql(query)
        return res.get("viewer") or {}

    @normalize_exceptions
    def max_cli_version(self) -> Optional[str]:
        if self._max_cli_version is not None:
            return self._max_cli_version

        query_types, server_info_types, _ = self.server_info_introspection()
        cli_version_exists = (
            "serverInfo" in query_types and "cliVersionInfo" in server_info_types
        )
        if not cli_version_exists:
            return None

        _, server_info = self.viewer_server_info()
        self._max_cli_version = server_info.get("cliVersionInfo", {}).get(
            "max_cli_version"
        )
        return self._max_cli_version

    @normalize_exceptions
    def viewer_server_info(self) -> Tuple[Dict[str, Any], Dict[str, Any]]:
        local_query = """
            latestLocalVersionInfo {
                outOfDate
                latestVersionString
                versionOnThisInstanceString
            }
        """
        cli_query = """
            serverInfo {
                cliVersionInfo
                _LOCAL_QUERY_
            }
        """
        query_template = """
        query Viewer{
            viewer {
                id
                entity
                username
                email
                flags
                teams {
                    edges {
                        node {
                            name
                        }
                    }
                }
            }
            _CLI_QUERY_
        }
        """
        query_types, server_info_types, _ = self.server_info_introspection()

        cli_version_exists = (
            "serverInfo" in query_types and "cliVersionInfo" in server_info_types
        )

        local_version_exists = (
            "serverInfo" in query_types
            and "latestLocalVersionInfo" in server_info_types
        )

        cli_query_string = "" if not cli_version_exists else cli_query
        local_query_string = "" if not local_version_exists else local_query

        query_string = query_template.replace("_CLI_QUERY_", cli_query_string).replace(
            "_LOCAL_QUERY_", local_query_string
        )
        query = gql(query_string)
        res = self.gql(query)
        return res.get("viewer") or {}, res.get("serverInfo") or {}

    @normalize_exceptions
    def list_projects(self, entity: Optional[str] = None) -> List[Dict[str, str]]:
        """List projects in W&B scoped by entity.

        Args:
            entity (str, optional): The entity to scope this project to.

        Returns:
                [{"id","name","description"}]
        """
        query = gql(
            """
        query EntityProjects($entity: String) {
            models(first: 10, entityName: $entity) {
                edges {
                    node {
                        id
                        name
                        description
                    }
                }
            }
        }
        """
        )
        project_list: List[Dict[str, str]] = self._flatten_edges(
            self.gql(
                query, variable_values={"entity": entity or self.settings("entity")}
            )["models"]
        )
        return project_list

    @normalize_exceptions
    def project(self, project: str, entity: Optional[str] = None) -> "_Response":
        """Retrieve project.

        Args:
            project (str): The project to get details for
            entity (str, optional): The entity to scope this project to.

        Returns:
                [{"id","name","repo","dockerImage","description"}]
        """
        query = gql(
            """
        query ProjectDetails($entity: String, $project: String) {
            model(name: $project, entityName: $entity) {
                id
                name
                repo
                dockerImage
                description
            }
        }
        """
        )
        response: _Response = self.gql(
            query, variable_values={"entity": entity, "project": project}
        )["model"]
        return response

    @normalize_exceptions
    def sweep(
        self,
        sweep: str,
        specs: str,
        project: Optional[str] = None,
        entity: Optional[str] = None,
    ) -> Dict[str, Any]:
        """Retrieve sweep.

        Args:
            sweep (str): The sweep to get details for
            specs (str): history specs
            project (str, optional): The project to scope this sweep to.
            entity (str, optional): The entity to scope this sweep to.

        Returns:
                [{"id","name","repo","dockerImage","description"}]
        """
        query = gql(
            """
        query SweepWithRuns($entity: String, $project: String, $sweep: String!, $specs: [JSONString!]!) {
            project(name: $project, entityName: $entity) {
                sweep(sweepName: $sweep) {
                    id
                    name
                    method
                    state
                    description
                    config
                    createdAt
                    heartbeatAt
                    updatedAt
                    earlyStopJobRunning
                    bestLoss
                    controller
                    scheduler
                    runs {
                        edges {
                            node {
                                name
                                state
                                config
                                exitcode
                                heartbeatAt
                                shouldStop
                                failed
                                stopped
                                running
                                summaryMetrics
                                sampledHistory(specs: $specs)
                            }
                        }
                    }
                }
            }
        }
        """
        )
        entity = entity or self.settings("entity")
        project = project or self.settings("project")
        response = self.gql(
            query,
            variable_values={
                "entity": entity,
                "project": project,
                "sweep": sweep,
                "specs": specs,
            },
        )
        if response["project"] is None or response["project"]["sweep"] is None:
            raise ValueError(f"Sweep {entity}/{project}/{sweep} not found")
        data: Dict[str, Any] = response["project"]["sweep"]
        if data:
            data["runs"] = self._flatten_edges(data["runs"])
        return data

    @normalize_exceptions
    def list_runs(
        self, project: str, entity: Optional[str] = None
    ) -> List[Dict[str, str]]:
        """List runs in W&B scoped by project.

        Args:
            project (str): The project to scope the runs to
            entity (str, optional): The entity to scope this project to.  Defaults to public models

        Returns:
                [{"id","name","description"}]
        """
        query = gql(
            """
        query ProjectRuns($model: String!, $entity: String) {
            model(name: $model, entityName: $entity) {
                buckets(first: 10) {
                    edges {
                        node {
                            id
                            name
                            displayName
                            description
                        }
                    }
                }
            }
        }
        """
        )
        return self._flatten_edges(
            self.gql(
                query,
                variable_values={
                    "entity": entity or self.settings("entity"),
                    "model": project or self.settings("project"),
                },
            )["model"]["buckets"]
        )

    @normalize_exceptions
    def run_config(
        self, project: str, run: Optional[str] = None, entity: Optional[str] = None
    ) -> Tuple[str, Dict[str, Any], Optional[str], Dict[str, Any]]:
        """Get the relevant configs for a run.

        Args:
            project (str): The project to download, (can include bucket)
            run (str, optional): The run to download
            entity (str, optional): The entity to scope this project to.
        """
        check_httpclient_logger_handler()

        query = gql(
            """
        query RunConfigs(
            $name: String!,
            $entity: String,
            $run: String!,
            $pattern: String!,
            $includeConfig: Boolean!,
        ) {
            model(name: $name, entityName: $entity) {
                bucket(name: $run) {
                    config @include(if: $includeConfig)
                    commit @include(if: $includeConfig)
                    files(pattern: $pattern) {
                        pageInfo {
                            hasNextPage
                            endCursor
                        }
                        edges {
                            node {
                                name
                                directUrl
                            }
                        }
                    }
                }
            }
        }
        """
        )

        variable_values = {
            "name": project,
            "run": run,
            "entity": entity,
            "includeConfig": True,
        }

        commit: str = ""
        config: Dict[str, Any] = {}
        patch: Optional[str] = None
        metadata: Dict[str, Any] = {}

        # If we use the `names` parameter on the `files` node, then the server
        # will helpfully give us and 'open' file handle to the files that don't
        # exist. This is so that we can upload data to it. However, in this
        # case, we just want to download that file and not upload to it, so
        # let's instead query for the files that do exist using `pattern`
        # (with no wildcards).
        #
        # Unfortunately we're unable to construct a single pattern that matches
        # our 2 files, we would need something like regex for that.
        for filename in [DIFF_FNAME, METADATA_FNAME]:
            variable_values["pattern"] = filename
            response = self.gql(query, variable_values=variable_values)
            if response["model"] is None:
                raise CommError(f"Run {entity}/{project}/{run} not found")
            run_obj: Dict = response["model"]["bucket"]
            # we only need to fetch this config once
            if variable_values["includeConfig"]:
                commit = run_obj["commit"]
                config = json.loads(run_obj["config"] or "{}")
                variable_values["includeConfig"] = False
            if run_obj["files"] is not None:
                for file_edge in run_obj["files"]["edges"]:
                    name = file_edge["node"]["name"]
                    url = file_edge["node"]["directUrl"]
                    res = requests.get(url)
                    res.raise_for_status()
                    if name == METADATA_FNAME:
                        metadata = res.json()
                    elif name == DIFF_FNAME:
                        patch = res.text

        return commit, config, patch, metadata

    @normalize_exceptions
    def run_resume_status(
        self, entity: str, project_name: str, name: str
    ) -> Optional[Dict[str, Any]]:
        """Check if a run exists and get resume information.

        Args:
            entity (str): The entity to scope this project to.
            project_name (str): The project to download, (can include bucket)
            name (str): The run to download
        """
        # Pulling wandbConfig.start_time is required so that we can determine if a run has actually started
        query = gql(
            """
        query RunResumeStatus($project: String, $entity: String, $name: String!) {
            model(name: $project, entityName: $entity) {
                id
                name
                entity {
                    id
                    name
                }

                bucket(name: $name, missingOk: true) {
                    id
                    name
                    summaryMetrics
                    displayName
                    logLineCount
                    historyLineCount
                    eventsLineCount
                    historyTail
                    eventsTail
                    config
                    tags
                    wandbConfig(keys: ["t"])
                }
            }
        }
        """
        )

        response = self.gql(
            query,
            variable_values={
                "entity": entity,
                "project": project_name,
                "name": name,
            },
        )

        if "model" not in response or "bucket" not in (response["model"] or {}):
            return None

        project = response["model"]
        self.set_setting("project", project_name)
        if "entity" in project:
            self.set_setting("entity", project["entity"]["name"])

        result: Dict[str, Any] = project["bucket"]

        return result

    @normalize_exceptions
    def check_stop_requested(
        self, project_name: str, entity_name: str, run_id: str
    ) -> bool:
        query = gql(
            """
        query RunStoppedStatus($projectName: String, $entityName: String, $runId: String!) {
            project(name:$projectName, entityName:$entityName) {
                run(name:$runId) {
                    stopped
                }
            }
        }
        """
        )

        response = self.gql(
            query,
            variable_values={
                "projectName": project_name,
                "entityName": entity_name,
                "runId": run_id,
            },
        )

        project = response.get("project", None)
        if not project:
            return False
        run = project.get("run", None)
        if not run:
            return False

        status: bool = run["stopped"]
        return status

    def format_project(self, project: str) -> str:
        return re.sub(r"\W+", "-", project.lower()).strip("-_")

    @normalize_exceptions
    def upsert_project(
        self,
        project: str,
        id: Optional[str] = None,
        description: Optional[str] = None,
        entity: Optional[str] = None,
    ) -> Dict[str, Any]:
        """Create a new project.

        Args:
            project (str): The project to create
            description (str, optional): A description of this project
            entity (str, optional): The entity to scope this project to.
        """
        mutation = gql(
            """
        mutation UpsertModel($name: String!, $id: String, $entity: String!, $description: String, $repo: String)  {
            upsertModel(input: { id: $id, name: $name, entityName: $entity, description: $description, repo: $repo }) {
                model {
                    name
                    description
                }
            }
        }
        """
        )
        response = self.gql(
            mutation,
            variable_values={
                "name": self.format_project(project),
                "entity": entity or self.settings("entity"),
                "description": description,
                "id": id,
            },
        )
        # TODO(jhr): Commenting out 'repo' field for cling, add back
        #   'description': description, 'repo': self.git.remote_url, 'id': id})
        result: Dict[str, Any] = response["upsertModel"]["model"]
        return result

    @normalize_exceptions
    def entity_is_team(self, entity: str) -> bool:
        query = gql(
            """
            query EntityIsTeam($entity: String!) {
                entity(name: $entity) {
                    id
                    isTeam
                }
            }
            """
        )
        variable_values = {
            "entity": entity,
        }

        res = self.gql(query, variable_values)
        if res.get("entity") is None:
            raise Exception(
                f"Error fetching entity {entity} "
                "check that you have access to this entity"
            )

        is_team: bool = res["entity"]["isTeam"]
        return is_team

    @normalize_exceptions
    def get_project_run_queues(self, entity: str, project: str) -> List[Dict[str, str]]:
        query = gql(
            """
        query ProjectRunQueues($entity: String!, $projectName: String!){
            project(entityName: $entity, name: $projectName) {
                runQueues {
                    id
                    name
                    createdBy
                    access
                }
            }
        }
        """
        )
        variable_values = {
            "projectName": project,
            "entity": entity,
        }

        res = self.gql(query, variable_values)
        if res.get("project") is None:
            # circular dependency: (LAUNCH_DEFAULT_PROJECT = model-registry)
            if project == "model-registry":
                msg = (
                    f"Error fetching run queues for {entity} "
                    "check that you have access to this entity and project"
                )
            else:
                msg = (
                    f"Error fetching run queues for {entity}/{project} "
                    "check that you have access to this entity and project"
                )

            raise Exception(msg)

        project_run_queues: List[Dict[str, str]] = res["project"]["runQueues"]
        return project_run_queues

    @normalize_exceptions
    def create_default_resource_config(
        self,
        entity: str,
        resource: str,
        config: str,
        template_variables: Optional[Dict[str, Union[float, int, str]]],
    ) -> Optional[Dict[str, Any]]:
        if not self.create_default_resource_config_introspection():
            raise Exception()
        supports_template_vars, _ = self.push_to_run_queue_introspection()

        mutation_params = """
            $entityName: String!,
            $resource: String!,
            $config: JSONString!
        """
        mutation_inputs = """
            entityName: $entityName,
            resource: $resource,
            config: $config
        """

        if supports_template_vars:
            mutation_params += ", $templateVariables: JSONString"
            mutation_inputs += ", templateVariables: $templateVariables"
        else:
            if template_variables is not None:
                raise UnsupportedError(
                    "server does not support template variables, please update server instance to >=0.46"
                )

        variable_values = {
            "entityName": entity,
            "resource": resource,
            "config": config,
        }
        if supports_template_vars:
            if template_variables is not None:
                variable_values["templateVariables"] = json.dumps(template_variables)
            else:
                variable_values["templateVariables"] = "{}"

        query = gql(
            f"""
        mutation createDefaultResourceConfig(
            {mutation_params}
        ) {{
            createDefaultResourceConfig(
            input: {{
                {mutation_inputs}
            }}
            ) {{
            defaultResourceConfigID
            success
            }}
        }}
        """
        )

        result: Optional[Dict[str, Any]] = self.gql(query, variable_values)[
            "createDefaultResourceConfig"
        ]
        return result

    @normalize_exceptions
    def create_run_queue(
        self,
        entity: str,
        project: str,
        queue_name: str,
        access: str,
        prioritization_mode: Optional[str] = None,
        config_id: Optional[str] = None,
    ) -> Optional[Dict[str, Any]]:
        (
            create_run_queue,
            supports_drc,
            supports_prioritization,
        ) = self.create_run_queue_introspection()
        if not create_run_queue:
            raise UnsupportedError(
                "run queue creation is not supported by this version of "
                "wandb server. Consider updating to the latest version."
            )
        if not supports_drc and config_id is not None:
            raise UnsupportedError(
                "default resource configurations are not supported by this version "
                "of wandb server. Consider updating to the latest version."
            )
        if not supports_prioritization and prioritization_mode is not None:
            raise UnsupportedError(
                "launch prioritization is not supported by this version of "
                "wandb server. Consider updating to the latest version."
            )

        if supports_prioritization:
            query = gql(
                """
            mutation createRunQueue(
                $entity: String!,
                $project: String!,
                $queueName: String!,
                $access: RunQueueAccessType!,
                $prioritizationMode: RunQueuePrioritizationMode,
                $defaultResourceConfigID: ID,
            ) {
                createRunQueue(
                    input: {
                        entityName: $entity,
                        projectName: $project,
                        queueName: $queueName,
                        access: $access,
                        prioritizationMode: $prioritizationMode
                        defaultResourceConfigID: $defaultResourceConfigID
                    }
                ) {
                    success
                    queueID
                }
            }
            """
            )
            variable_values = {
                "entity": entity,
                "project": project,
                "queueName": queue_name,
                "access": access,
                "prioritizationMode": prioritization_mode,
                "defaultResourceConfigID": config_id,
            }
        else:
            query = gql(
                """
            mutation createRunQueue(
                $entity: String!,
                $project: String!,
                $queueName: String!,
                $access: RunQueueAccessType!,
                $defaultResourceConfigID: ID,
            ) {
                createRunQueue(
                    input: {
                        entityName: $entity,
                        projectName: $project,
                        queueName: $queueName,
                        access: $access,
                        defaultResourceConfigID: $defaultResourceConfigID
                    }
                ) {
                    success
                    queueID
                }
            }
            """
            )
            variable_values = {
                "entity": entity,
                "project": project,
                "queueName": queue_name,
                "access": access,
                "defaultResourceConfigID": config_id,
            }

        result: Optional[Dict[str, Any]] = self.gql(query, variable_values)[
            "createRunQueue"
        ]
        return result

    @normalize_exceptions
    def upsert_run_queue(
        self,
        queue_name: str,
        entity: str,
        resource_type: str,
        resource_config: dict,
        project: str = LAUNCH_DEFAULT_PROJECT,
        prioritization_mode: Optional[str] = None,
        template_variables: Optional[dict] = None,
        external_links: Optional[dict] = None,
    ) -> Optional[Dict[str, Any]]:
        if not self.upsert_run_queue_introspection():
            raise UnsupportedError(
                "upserting run queues is not supported by this version of "
                "wandb server. Consider updating to the latest version."
            )
        query = gql(
            """
            mutation upsertRunQueue(
                $entityName: String!
                $projectName: String!
                $queueName: String!
                $resourceType: String!
                $resourceConfig: JSONString!
                $templateVariables: JSONString
                $prioritizationMode: RunQueuePrioritizationMode
                $externalLinks: JSONString
                $clientMutationId: String
            ) {
                upsertRunQueue(
                    input: {
                        entityName: $entityName
                        projectName: $projectName
                        queueName: $queueName
                        resourceType: $resourceType
                        resourceConfig: $resourceConfig
                        templateVariables: $templateVariables
                        prioritizationMode: $prioritizationMode
                        externalLinks: $externalLinks
                        clientMutationId: $clientMutationId
                    }
                ) {
                    success
                    configSchemaValidationErrors
                }
            }
            """
        )
        variable_values = {
            "entityName": entity,
            "projectName": project,
            "queueName": queue_name,
            "resourceType": resource_type,
            "resourceConfig": json.dumps(resource_config),
            "templateVariables": (
                json.dumps(template_variables) if template_variables else None
            ),
            "prioritizationMode": prioritization_mode,
            "externalLinks": json.dumps(external_links) if external_links else None,
        }
        result: Dict[str, Any] = self.gql(query, variable_values)
        return result["upsertRunQueue"]

    @normalize_exceptions
    def push_to_run_queue_by_name(
        self,
        entity: str,
        project: str,
        queue_name: str,
        run_spec: str,
        template_variables: Optional[Dict[str, Union[int, float, str]]],
        priority: Optional[int] = None,
    ) -> Optional[Dict[str, Any]]:
        self.push_to_run_queue_introspection()
        """Queryless mutation, should be used before legacy fallback method."""

        mutation_params = """
            $entityName: String!,
            $projectName: String!,
            $queueName: String!,
            $runSpec: JSONString!
        """

        mutation_input = """
            entityName: $entityName,
            projectName: $projectName,
            queueName: $queueName,
            runSpec: $runSpec
        """

        variables: Dict[str, Any] = {
            "entityName": entity,
            "projectName": project,
            "queueName": queue_name,
            "runSpec": run_spec,
        }
        if self.server_push_to_run_queue_supports_priority:
            if priority is not None:
                variables["priority"] = priority
                mutation_params += ", $priority: Int"
                mutation_input += ", priority: $priority"
        else:
            if priority is not None:
                raise UnsupportedError(
                    "server does not support priority, please update server instance to >=0.46"
                )

        if self.server_supports_template_variables:
            if template_variables is not None:
                variables.update(
                    {"templateVariableValues": json.dumps(template_variables)}
                )
                mutation_params += ", $templateVariableValues: JSONString"
                mutation_input += ", templateVariableValues: $templateVariableValues"
        else:
            if template_variables is not None:
                raise UnsupportedError(
                    "server does not support template variables, please update server instance to >=0.46"
                )

        mutation = gql(
            f"""
        mutation pushToRunQueueByName(
          {mutation_params}
        ) {{
            pushToRunQueueByName(
                input: {{
                    {mutation_input}
                }}
            ) {{
                runQueueItemId
                runSpec
            }}
        }}
        """
        )

        try:
            result: Optional[Dict[str, Any]] = self.gql(
                mutation, variables, check_retry_fn=util.no_retry_4xx
            ).get("pushToRunQueueByName")
            if not result:
                return None

            if result.get("runSpec"):
                run_spec = json.loads(str(result["runSpec"]))
                result["runSpec"] = run_spec

            return result
        except Exception as e:
            if (
                'Cannot query field "runSpec" on type "PushToRunQueueByNamePayload"'
                not in str(e)
            ):
                return None

        mutation_no_runspec = gql(
            """
        mutation pushToRunQueueByName(
            $entityName: String!,
            $projectName: String!,
            $queueName: String!,
            $runSpec: JSONString!,
        ) {
            pushToRunQueueByName(
                input: {
                    entityName: $entityName,
                    projectName: $projectName,
                    queueName: $queueName,
                    runSpec: $runSpec
                }
            ) {
                runQueueItemId
            }
        }
        """
        )

        try:
            result = self.gql(
                mutation_no_runspec, variables, check_retry_fn=util.no_retry_4xx
            ).get("pushToRunQueueByName")
        except Exception:
            result = None

        return result

    @normalize_exceptions
    def push_to_run_queue(
        self,
        queue_name: str,
        launch_spec: Dict[str, str],
        template_variables: Optional[dict],
        project_queue: str,
        priority: Optional[int] = None,
    ) -> Optional[Dict[str, Any]]:
        self.push_to_run_queue_introspection()
        entity = launch_spec.get("queue_entity") or launch_spec["entity"]
        run_spec = json.dumps(launch_spec)

        push_result = self.push_to_run_queue_by_name(
            entity, project_queue, queue_name, run_spec, template_variables, priority
        )

        if push_result:
            return push_result

        if priority is not None:
            # Cannot proceed with legacy method if priority is set
            return None

        """ Legacy Method """
        queues_found = self.get_project_run_queues(entity, project_queue)
        matching_queues = [
            q
            for q in queues_found
            if q["name"] == queue_name
            # ensure user has access to queue
            and (
                # TODO: User created queues in the UI have USER access
                q["access"] in ["PROJECT", "USER"]
                or q["createdBy"] == self.default_entity
            )
        ]
        if not matching_queues:
            # in the case of a missing default queue. create it
            if queue_name == "default":
                wandb.termlog(
                    f"No default queue existing for entity: {entity} in project: {project_queue}, creating one."
                )
                res = self.create_run_queue(
                    launch_spec["entity"],
                    project_queue,
                    queue_name,
                    access="PROJECT",
                )

                if res is None or res.get("queueID") is None:
                    wandb.termerror(
                        f"Unable to create default queue for entity: {entity} on project: {project_queue}. Run could not be added to a queue"
                    )
                    return None
                queue_id = res["queueID"]

            else:
                if project_queue == "model-registry":
                    _msg = f"Unable to push to run queue {queue_name}. Queue not found."
                else:
                    _msg = f"Unable to push to run queue {project_queue}/{queue_name}. Queue not found."
                wandb.termwarn(_msg)
                return None
        elif len(matching_queues) > 1:
            wandb.termerror(
                f"Unable to push to run queue {queue_name}. More than one queue found with this name."
            )
            return None
        else:
            queue_id = matching_queues[0]["id"]
        spec_json = json.dumps(launch_spec)
        variables = {"queueID": queue_id, "runSpec": spec_json}

        mutation_params = """
            $queueID: ID!,
            $runSpec: JSONString!
        """
        mutation_input = """
            queueID: $queueID,
            runSpec: $runSpec
        """
        if self.server_supports_template_variables:
            if template_variables is not None:
                mutation_params += ", $templateVariableValues: JSONString"
                mutation_input += ", templateVariableValues: $templateVariableValues"
                variables.update(
                    {"templateVariableValues": json.dumps(template_variables)}
                )
        else:
            if template_variables is not None:
                raise UnsupportedError(
                    "server does not support template variables, please update server instance to >=0.46"
                )

        mutation = gql(
            f"""
        mutation pushToRunQueue(
            {mutation_params}
            ) {{
            pushToRunQueue(
                input: {{{mutation_input}}}
            ) {{
                runQueueItemId
            }}
        }}
        """
        )

        response = self.gql(mutation, variable_values=variables)
        if not response.get("pushToRunQueue"):
            raise CommError(f"Error pushing run queue item to queue {queue_name}.")

        result: Optional[Dict[str, Any]] = response["pushToRunQueue"]
        return result

    @normalize_exceptions
    def pop_from_run_queue(
        self,
        queue_name: str,
        entity: Optional[str] = None,
        project: Optional[str] = None,
        agent_id: Optional[str] = None,
    ) -> Optional[Dict[str, Any]]:
        mutation = gql(
            """
        mutation popFromRunQueue($entity: String!, $project: String!, $queueName: String!, $launchAgentId: ID)  {
            popFromRunQueue(input: {
                entityName: $entity,
                projectName: $project,
                queueName: $queueName,
                launchAgentId: $launchAgentId
            }) {
                runQueueItemId
                runSpec
            }
        }
        """
        )
        response = self.gql(
            mutation,
            variable_values={
                "entity": entity,
                "project": project,
                "queueName": queue_name,
                "launchAgentId": agent_id,
            },
        )
        result: Optional[Dict[str, Any]] = response["popFromRunQueue"]
        return result

    @normalize_exceptions
    def ack_run_queue_item(self, item_id: str, run_id: Optional[str] = None) -> bool:
        mutation = gql(
            """
        mutation ackRunQueueItem($itemId: ID!, $runId: String!)  {
            ackRunQueueItem(input: { runQueueItemId: $itemId, runName: $runId }) {
                success
            }
        }
        """
        )
        response = self.gql(
            mutation, variable_values={"itemId": item_id, "runId": str(run_id)}
        )
        if not response["ackRunQueueItem"]["success"]:
            raise CommError(
                "Error acking run queue item. Item may have already been acknowledged by another process"
            )
        result: bool = response["ackRunQueueItem"]["success"]
        return result

    @normalize_exceptions
    def create_launch_agent_fields_introspection(self) -> List:
        if self.create_launch_agent_input_info:
            return self.create_launch_agent_input_info
        query_string = """
           query ProbeServerCreateLaunchAgentInput {
                CreateLaunchAgentInputInfoType: __type(name:"CreateLaunchAgentInput") {
                    inputFields{
                        name
                    }
                }
            }
        """

        query = gql(query_string)
        res = self.gql(query)

        self.create_launch_agent_input_info = [
            field.get("name", "")
            for field in res.get("CreateLaunchAgentInputInfoType", {}).get(
                "inputFields", [{}]
            )
        ]
        return self.create_launch_agent_input_info

    @normalize_exceptions
    def create_launch_agent(
        self,
        entity: str,
        project: str,
        queues: List[str],
        agent_config: Dict[str, Any],
        version: str,
        gorilla_agent_support: bool,
    ) -> dict:
        project_queues = self.get_project_run_queues(entity, project)
        if not project_queues:
            # create default queue if it doesn't already exist
            default = self.create_run_queue(
                entity, project, "default", access="PROJECT"
            )
            if default is None or default.get("queueID") is None:
                raise CommError(
                    f"Unable to create default queue for {entity}/{project}. No queues for agent to poll"
                )
            project_queues = [{"id": default["queueID"], "name": "default"}]
        polling_queue_ids = [
            q["id"] for q in project_queues if q["name"] in queues
        ]  # filter to poll specified queues
        if len(polling_queue_ids) != len(queues):
            raise CommError(
                f"Could not start launch agent: Not all of requested queues ({', '.join(queues)}) found. "
                f"Available queues for this project: {','.join([q['name'] for q in project_queues])}"
            )

        if not gorilla_agent_support:
            # if gorilla doesn't support launch agents, return a client-generated id
            return {
                "success": True,
                "launchAgentId": None,
            }

        hostname = socket.gethostname()

        variable_values = {
            "entity": entity,
            "project": project,
            "queues": polling_queue_ids,
            "hostname": hostname,
        }

        mutation_params = """
            $entity: String!,
            $project: String!,
            $queues: [ID!]!,
            $hostname: String!
        """

        mutation_input = """
            entityName: $entity,
            projectName: $project,
            runQueues: $queues,
            hostname: $hostname
        """

        if "agentConfig" in self.create_launch_agent_fields_introspection():
            variable_values["agentConfig"] = json.dumps(agent_config)
            mutation_params += ", $agentConfig: JSONString"
            mutation_input += ", agentConfig: $agentConfig"
        if "version" in self.create_launch_agent_fields_introspection():
            variable_values["version"] = version
            mutation_params += ", $version: String"
            mutation_input += ", version: $version"

        mutation = gql(
            f"""
            mutation createLaunchAgent(
                {mutation_params}
            ) {{
                createLaunchAgent(
                    input: {{
                        {mutation_input}
                    }}
                ) {{
                    launchAgentId
                }}
            }}
            """
        )
        result: dict = self.gql(mutation, variable_values)["createLaunchAgent"]
        return result

    @normalize_exceptions
    def update_launch_agent_status(
        self,
        agent_id: str,
        status: str,
        gorilla_agent_support: bool,
    ) -> dict:
        if not gorilla_agent_support:
            # if gorilla doesn't support launch agents, this is a no-op
            return {
                "success": True,
            }

        mutation = gql(
            """
            mutation updateLaunchAgent($agentId: ID!, $agentStatus: String){
                updateLaunchAgent(
                    input: {
                        launchAgentId: $agentId
                        agentStatus: $agentStatus
                    }
                ) {
                    success
                }
            }
            """
        )
        variable_values = {
            "agentId": agent_id,
            "agentStatus": status,
        }
        result: dict = self.gql(mutation, variable_values)["updateLaunchAgent"]
        return result

    @normalize_exceptions
    def get_launch_agent(self, agent_id: str, gorilla_agent_support: bool) -> dict:
        if not gorilla_agent_support:
            return {
                "id": None,
                "name": "",
                "stopPolling": False,
            }
        query = gql(
            """
            query LaunchAgent($agentId: ID!) {
                launchAgent(id: $agentId) {
                    id
                    name
                    runQueues
                    hostname
                    agentStatus
                    stopPolling
                    heartbeatAt
                }
            }
            """
        )
        variable_values = {
            "agentId": agent_id,
        }
        result: dict = self.gql(query, variable_values)["launchAgent"]
        return result

    @normalize_exceptions
    def upsert_run(
        self,
        id: Optional[str] = None,
        name: Optional[str] = None,
        project: Optional[str] = None,
        host: Optional[str] = None,
        group: Optional[str] = None,
        tags: Optional[List[str]] = None,
        config: Optional[dict] = None,
        description: Optional[str] = None,
        entity: Optional[str] = None,
        state: Optional[str] = None,
        display_name: Optional[str] = None,
        notes: Optional[str] = None,
        repo: Optional[str] = None,
        job_type: Optional[str] = None,
        program_path: Optional[str] = None,
        commit: Optional[str] = None,
        sweep_name: Optional[str] = None,
        summary_metrics: Optional[str] = None,
        num_retries: Optional[int] = None,
    ) -> Tuple[dict, bool, Optional[List]]:
        """Update a run.

        Args:
            id (str, optional): The existing run to update
            name (str, optional): The name of the run to create
            group (str, optional): Name of the group this run is a part of
            project (str, optional): The name of the project
            host (str, optional): The name of the host
            tags (list, optional): A list of tags to apply to the run
            config (dict, optional): The latest config params
            description (str, optional): A description of this project
            entity (str, optional): The entity to scope this project to.
            display_name (str, optional): The display name of this project
            notes (str, optional): Notes about this run
            repo (str, optional): Url of the program's repository.
            state (str, optional): State of the program.
            job_type (str, optional): Type of job, e.g 'train'.
            program_path (str, optional): Path to the program.
            commit (str, optional): The Git SHA to associate the run with
            sweep_name (str, optional): The name of the sweep this run is a part of
            summary_metrics (str, optional): The JSON summary metrics
            num_retries (int, optional): Number of retries
        """
        query_string = """
        mutation UpsertBucket(
            $id: String,
            $name: String,
            $project: String,
            $entity: String,
            $groupName: String,
            $description: String,
            $displayName: String,
            $notes: String,
            $commit: String,
            $config: JSONString,
            $host: String,
            $debug: Boolean,
            $program: String,
            $repo: String,
            $jobType: String,
            $state: String,
            $sweep: String,
            $tags: [String!],
            $summaryMetrics: JSONString,
        ) {
            upsertBucket(input: {
                id: $id,
                name: $name,
                groupName: $groupName,
                modelName: $project,
                entityName: $entity,
                description: $description,
                displayName: $displayName,
                notes: $notes,
                config: $config,
                commit: $commit,
                host: $host,
                debug: $debug,
                jobProgram: $program,
                jobRepo: $repo,
                jobType: $jobType,
                state: $state,
                sweep: $sweep,
                tags: $tags,
                summaryMetrics: $summaryMetrics,
            }) {
                bucket {
                    id
                    name
                    displayName
                    description
                    config
                    sweepName
                    project {
                        id
                        name
                        entity {
                            id
                            name
                        }
                    }
                    historyLineCount
                }
                inserted
                _Server_Settings_
            }
        }
        """
        self.server_settings_introspection()

        server_settings_string = (
            """
        serverSettings {
                serverMessages{
                    utfText
                    plainText
                    htmlText
                    messageType
                    messageLevel
                }
         }
        """
            if self._server_settings_type
            else ""
        )

        query_string = query_string.replace("_Server_Settings_", server_settings_string)
        mutation = gql(query_string)
        config_str = json.dumps(config) if config else None
        if not description or description.isspace():
            description = None

        kwargs = {}
        if num_retries is not None:
            kwargs["num_retries"] = num_retries

        variable_values = {
            "id": id,
            "entity": entity or self.settings("entity"),
            "name": name,
            "project": project or util.auto_project_name(program_path),
            "groupName": group,
            "tags": tags,
            "description": description,
            "config": config_str,
            "commit": commit,
            "displayName": display_name,
            "notes": notes,
            "host": None
            if self.settings().get("anonymous") in ["allow", "must"]
            else host,
            "debug": env.is_debug(env=self._environ),
            "repo": repo,
            "program": program_path,
            "jobType": job_type,
            "state": state,
            "sweep": sweep_name,
            "summaryMetrics": summary_metrics,
        }

        # retry conflict errors for 2 minutes, default to no_auth_retry
        check_retry_fn = util.make_check_retry_fn(
            check_fn=util.check_retry_conflict_or_gone,
            check_timedelta=datetime.timedelta(minutes=2),
            fallback_retry_fn=util.no_retry_auth,
        )

        response = self.gql(
            mutation,
            variable_values=variable_values,
            check_retry_fn=check_retry_fn,
            **kwargs,
        )

        run_obj: Dict[str, Dict[str, Dict[str, str]]] = response["upsertBucket"][
            "bucket"
        ]
        project_obj: Dict[str, Dict[str, str]] = run_obj.get("project", {})
        if project_obj:
            self.set_setting("project", project_obj["name"])
            entity_obj = project_obj.get("entity", {})
            if entity_obj:
                self.set_setting("entity", entity_obj["name"])

        server_messages = None
        if self._server_settings_type:
            server_messages = (
                response["upsertBucket"]
                .get("serverSettings", {})
                .get("serverMessages", [])
            )

        return (
            response["upsertBucket"]["bucket"],
            response["upsertBucket"]["inserted"],
            server_messages,
        )

    @normalize_exceptions
    def rewind_run(
        self,
        run_name: str,
        metric_name: str,
        metric_value: float,
        program_path: Optional[str] = None,
        entity: Optional[str] = None,
        project: Optional[str] = None,
        num_retries: Optional[int] = None,
    ) -> dict:
        """Rewinds a run to a previous state.

        Args:
            run_name (str): The name of the run to rewind
            metric_name (str): The name of the metric to rewind to
            metric_value (float): The value of the metric to rewind to
            program_path (str, optional): Path to the program
            entity (str, optional): The entity to scope this project to
            project (str, optional): The name of the project
            num_retries (int, optional): Number of retries

        Returns:
            A dict with the rewound run

                {
                    "id": "run_id",
                    "name": "run_name",
                    "displayName": "run_display_name",
                    "description": "run_description",
                    "config": "stringified_run_config_json",
                    "sweepName": "run_sweep_name",
                    "project": {
                        "id": "project_id",
                        "name": "project_name",
                        "entity": {
                            "id": "entity_id",
                            "name": "entity_name"
                        }
                    },
                    "historyLineCount": 100,
                }
        """
        query_string = """
        mutation RewindRun($runName: String!, $entity: String, $project: String, $metricName: String!, $metricValue: Float!) {
            rewindRun(input: {runName: $runName, entityName: $entity, projectName: $project, metricName: $metricName, metricValue: $metricValue}) {
                rewoundRun {
                    id
                    name
                    displayName
                    description
                    config
                    sweepName
                    project {
                        id
                        name
                        entity {
                            id
                            name
                        }
                    }
                    historyLineCount
                }
            }
        }
        """

        mutation = gql(query_string)

        kwargs = {}
        if num_retries is not None:
            kwargs["num_retries"] = num_retries

        variable_values = {
            "runName": run_name,
            "entity": entity or self.settings("entity"),
            "project": project or util.auto_project_name(program_path),
            "metricName": metric_name,
            "metricValue": metric_value,
        }

        # retry conflict errors for 2 minutes, default to no_auth_retry
        check_retry_fn = util.make_check_retry_fn(
            check_fn=util.check_retry_conflict_or_gone,
            check_timedelta=datetime.timedelta(minutes=2),
            fallback_retry_fn=util.no_retry_auth,
        )

        response = self.gql(
            mutation,
            variable_values=variable_values,
            check_retry_fn=check_retry_fn,
            **kwargs,
        )

        run_obj: Dict[str, Dict[str, Dict[str, str]]] = response.get(
            "rewindRun", {}
        ).get("rewoundRun", {})
        project_obj: Dict[str, Dict[str, str]] = run_obj.get("project", {})
        if project_obj:
            self.set_setting("project", project_obj["name"])
            entity_obj = project_obj.get("entity", {})
            if entity_obj:
                self.set_setting("entity", entity_obj["name"])

        return run_obj

    @normalize_exceptions
    def get_run_info(
        self,
        entity: str,
        project: str,
        name: str,
    ) -> dict:
        query = gql(
            """
        query RunInfo($project: String!, $entity: String!, $name: String!) {
            project(name: $project, entityName: $entity) {
                run(name: $name) {
                    runInfo {
                        program
                        args
                        os
                        python
                        colab
                        executable
                        codeSaved
                        cpuCount
                        gpuCount
                        gpu
                        git {
                            remote
                            commit
                        }
                    }
                }
            }
        }
        """
        )
        variable_values = {"project": project, "entity": entity, "name": name}
        res = self.gql(query, variable_values)
        if res.get("project") is None:
            raise CommError(
                f"Error fetching run info for {entity}/{project}/{name}. Check that this project exists and you have access to this entity and project"
            )
        elif res["project"].get("run") is None:
            raise CommError(
                f"Error fetching run info for {entity}/{project}/{name}. Check that this run id exists"
            )
        run_info: dict = res["project"]["run"]["runInfo"]
        return run_info

    @normalize_exceptions
    def get_run_state(self, entity: str, project: str, name: str) -> str:
        query = gql(
            """
        query RunState(
            $project: String!,
            $entity: String!,
            $name: String!) {
            project(name: $project, entityName: $entity) {
                run(name: $name) {
                    state
                }
            }
        }
        """
        )
        variable_values = {
            "project": project,
            "entity": entity,
            "name": name,
        }
        res = self.gql(query, variable_values)
        if res.get("project") is None or res["project"].get("run") is None:
            raise CommError(f"Error fetching run state for {entity}/{project}/{name}.")
        run_state: str = res["project"]["run"]["state"]
        return run_state

    @normalize_exceptions
    def create_run_files_introspection(self) -> bool:
        _, _, mutations = self.server_info_introspection()
        return "createRunFiles" in mutations

    @normalize_exceptions
    def upload_urls(
        self,
        project: str,
        files: Union[List[str], Dict[str, IO]],
        run: Optional[str] = None,
        entity: Optional[str] = None,
        description: Optional[str] = None,
    ) -> Tuple[str, List[str], Dict[str, Dict[str, Any]]]:
        """Generate temporary resumable upload urls.

        Args:
            project (str): The project to download
            files (list or dict): The filenames to upload
            run (str, optional): The run to upload to
            entity (str, optional): The entity to scope this project to.
            description (str, optional): description

        Returns:
            (run_id, upload_headers, file_info)
            run_id: id of run we uploaded files to
            upload_headers: A list of headers to use when uploading files.
            file_info: A dict of filenames and urls.
                {
                    "run_id": "run_id",
                    "upload_headers": [""],
                    "file_info":  [
                        { "weights.h5": { "uploadUrl": "https://weights.url" } },
                        { "model.json": { "uploadUrl": "https://model.json" } }
                    ]
                }
        """
        run_name = run or self.current_run_id
        assert run_name, "run must be specified"
        entity = entity or self.settings("entity")
        assert entity, "entity must be specified"

        has_create_run_files_mutation = self.create_run_files_introspection()
        if not has_create_run_files_mutation:
            return self.legacy_upload_urls(project, files, run, entity, description)

        query = gql(
            """
        mutation CreateRunFiles($entity: String!, $project: String!, $run: String!, $files: [String!]!) {
            createRunFiles(input: {entityName: $entity, projectName: $project, runName: $run, files: $files}) {
                runID
                uploadHeaders
                files {
                    name
                    uploadUrl
                }
            }
        }
        """
        )

        query_result = self.gql(
            query,
            variable_values={
                "project": project,
                "run": run_name,
                "entity": entity,
                "files": [file for file in files],
            },
        )

        result = query_result["createRunFiles"]
        run_id = result["runID"]
        if not run_id:
            raise CommError(
                f"Error uploading files to {entity}/{project}/{run_name}. Check that this project exists and you have access to this entity and project"
            )
        file_name_urls = {file["name"]: file for file in result["files"]}
        return run_id, result["uploadHeaders"], file_name_urls

    def legacy_upload_urls(
        self,
        project: str,
        files: Union[List[str], Dict[str, IO]],
        run: Optional[str] = None,
        entity: Optional[str] = None,
        description: Optional[str] = None,
    ) -> Tuple[str, List[str], Dict[str, Dict[str, Any]]]:
        """Generate temporary resumable upload urls.

        A new mutation createRunFiles was introduced after 0.15.4.
        This function is used to support older versions.
        """
        query = gql(
            """
        query RunUploadUrls($name: String!, $files: [String]!, $entity: String, $run: String!, $description: String) {
            model(name: $name, entityName: $entity) {
                bucket(name: $run, desc: $description) {
                    id
                    files(names: $files) {
                        uploadHeaders
                        edges {
                            node {
                                name
                                url(upload: true)
                                updatedAt
                            }
                        }
                    }
                }
            }
        }
        """
        )
        run_id = run or self.current_run_id
        assert run_id, "run must be specified"
        entity = entity or self.settings("entity")
        query_result = self.gql(
            query,
            variable_values={
                "name": project,
                "run": run_id,
                "entity": entity,
                "files": [file for file in files],
                "description": description,
            },
        )

        run_obj = query_result["model"]["bucket"]
        if run_obj:
            for file_node in run_obj["files"]["edges"]:
                file = file_node["node"]
                # we previously used "url" field but now use "uploadUrl"
                # replace the "url" field with "uploadUrl for downstream compatibility
                if "url" in file and "uploadUrl" not in file:
                    file["uploadUrl"] = file.pop("url")

            result = {
                file["name"]: file for file in self._flatten_edges(run_obj["files"])
            }
            return run_obj["id"], run_obj["files"]["uploadHeaders"], result
        else:
            raise CommError(f"Run does not exist {entity}/{project}/{run_id}.")

    @normalize_exceptions
    def download_urls(
        self,
        project: str,
        run: Optional[str] = None,
        entity: Optional[str] = None,
    ) -> Dict[str, Dict[str, str]]:
        """Generate download urls.

        Args:
            project (str): The project to download
            run (str): The run to upload to
            entity (str, optional): The entity to scope this project to.  Defaults to wandb models

        Returns:
            A dict of extensions and urls

                {
                    'weights.h5': { "url": "https://weights.url", "updatedAt": '2013-04-26T22:22:23.832Z', 'md5': 'mZFLkyvTelC5g8XnyQrpOw==' },
                    'model.json': { "url": "https://model.url", "updatedAt": '2013-04-26T22:22:23.832Z', 'md5': 'mZFLkyvTelC5g8XnyQrpOw==' }
                }
        """
        query = gql(
            """
        query RunDownloadUrls($name: String!, $entity: String, $run: String!)  {
            model(name: $name, entityName: $entity) {
                bucket(name: $run) {
                    files {
                        edges {
                            node {
                                name
                                url
                                md5
                                updatedAt
                            }
                        }
                    }
                }
            }
        }
        """
        )
        run = run or self.current_run_id
        assert run, "run must be specified"
        entity = entity or self.settings("entity")
        query_result = self.gql(
            query,
            variable_values={
                "name": project,
                "run": run,
                "entity": entity,
            },
        )
        if query_result["model"] is None:
            raise CommError(f"Run does not exist {entity}/{project}/{run}.")
        files = self._flatten_edges(query_result["model"]["bucket"]["files"])
        return {file["name"]: file for file in files if file}

    @normalize_exceptions
    def download_url(
        self,
        project: str,
        file_name: str,
        run: Optional[str] = None,
        entity: Optional[str] = None,
    ) -> Optional[Dict[str, str]]:
        """Generate download urls.

        Args:
            project (str): The project to download
            file_name (str): The name of the file to download
            run (str): The run to upload to
            entity (str, optional): The entity to scope this project to.  Defaults to wandb models

        Returns:
            A dict of extensions and urls

                { "url": "https://weights.url", "updatedAt": '2013-04-26T22:22:23.832Z', 'md5': 'mZFLkyvTelC5g8XnyQrpOw==' }

        """
        query = gql(
            """
        query RunDownloadUrl($name: String!, $fileName: String!, $entity: String, $run: String!)  {
            model(name: $name, entityName: $entity) {
                bucket(name: $run) {
                    files(names: [$fileName]) {
                        edges {
                            node {
                                name
                                url
                                md5
                                updatedAt
                            }
                        }
                    }
                }
            }
        }
        """
        )
        run = run or self.current_run_id
        assert run, "run must be specified"
        query_result = self.gql(
            query,
            variable_values={
                "name": project,
                "run": run,
                "fileName": file_name,
                "entity": entity or self.settings("entity"),
            },
        )
        if query_result["model"]:
            files = self._flatten_edges(query_result["model"]["bucket"]["files"])
            return files[0] if len(files) > 0 and files[0].get("updatedAt") else None
        else:
            return None

    @normalize_exceptions
    def download_file(self, url: str) -> Tuple[int, requests.Response]:
        """Initiate a streaming download.

        Args:
            url (str): The url to download

        Returns:
            A tuple of the content length and the streaming response
        """
        check_httpclient_logger_handler()

        http_headers = _thread_local_api_settings.headers or {}

        auth = None
        if self.access_token is not None:
            http_headers["Authorization"] = f"Bearer {self.access_token}"
        elif _thread_local_api_settings.cookies is None:
            auth = ("api", self.api_key or "")

        response = requests.get(
            url,
            auth=auth,
            cookies=_thread_local_api_settings.cookies or {},
            headers=http_headers,
            stream=True,
        )
        response.raise_for_status()
        return int(response.headers.get("content-length", 0)), response

    @normalize_exceptions
    def download_write_file(
        self,
        metadata: Dict[str, str],
        out_dir: Optional[str] = None,
    ) -> Tuple[str, Optional[requests.Response]]:
        """Download a file from a run and write it to wandb/.

        Args:
            metadata (obj): The metadata object for the file to download. Comes from Api.download_urls().
            out_dir (str, optional): The directory to write the file to. Defaults to wandb/

        Returns:
            A tuple of the file's local path and the streaming response. The streaming response is None if the file
            already existed and was up-to-date.
        """
        filename = metadata["name"]
        path = os.path.join(out_dir or self.settings("wandb_dir"), filename)
        if self.file_current(filename, B64MD5(metadata["md5"])):
            return path, None

        size, response = self.download_file(metadata["url"])

        with util.fsync_open(path, "wb") as file:
            for data in response.iter_content(chunk_size=1024):
                file.write(data)

        return path, response

    def upload_file_azure(
        self, url: str, file: Any, extra_headers: Dict[str, str]
    ) -> None:
        """Upload a file to azure."""
        from azure.core.exceptions import AzureError  # type: ignore

        # Configure the client without retries so our existing logic can handle them
        client = self._azure_blob_module.BlobClient.from_blob_url(
            url, retry_policy=self._azure_blob_module.LinearRetry(retry_total=0)
        )
        try:
            if extra_headers.get("Content-MD5") is not None:
                md5: Optional[bytes] = base64.b64decode(extra_headers["Content-MD5"])
            else:
                md5 = None
            content_settings = self._azure_blob_module.ContentSettings(
                content_md5=md5,
                content_type=extra_headers.get("Content-Type"),
            )
            client.upload_blob(
                file,
                max_concurrency=4,
                length=len(file),
                overwrite=True,
                content_settings=content_settings,
            )
        except AzureError as e:
            if hasattr(e, "response"):
                response = requests.models.Response()
                response.status_code = e.response.status_code
                response.headers = e.response.headers
                raise requests.exceptions.RequestException(e.message, response=response)
            else:
                raise requests.exceptions.ConnectionError(e.message)

    def upload_multipart_file_chunk(
        self,
        url: str,
        upload_chunk: bytes,
        extra_headers: Optional[Dict[str, str]] = None,
    ) -> Optional[requests.Response]:
        """Upload a file chunk to S3 with failure resumption.

        Args:
            url: The url to download
            upload_chunk: The path to the file you want to upload
            extra_headers: A dictionary of extra headers to send with the request

        Returns:
            The `requests` library response object
        """
        check_httpclient_logger_handler()
        try:
            if env.is_debug(env=self._environ):
                logger.debug("upload_file: %s", url)
            response = self._upload_file_session.put(
                url, data=upload_chunk, headers=extra_headers
            )
            if env.is_debug(env=self._environ):
                logger.debug("upload_file: %s complete", url)
            response.raise_for_status()
        except requests.exceptions.RequestException as e:
            logger.exception(f"upload_file exception for {url=}")
            response_content = e.response.content if e.response is not None else ""
            status_code = e.response.status_code if e.response is not None else 0
            # S3 reports retryable request timeouts out-of-band
            is_aws_retryable = status_code == 400 and "RequestTimeout" in str(
                response_content
            )
            # Retry errors from cloud storage or local network issues
            if (
                status_code in (308, 408, 409, 429, 500, 502, 503, 504)
                or isinstance(
                    e,
                    (requests.exceptions.Timeout, requests.exceptions.ConnectionError),
                )
                or is_aws_retryable
            ):
                _e = retry.TransientError(exc=e)
                raise _e.with_traceback(sys.exc_info()[2])
            else:
                wandb._sentry.reraise(e)
        return response

    def upload_file(
        self,
        url: str,
        file: IO[bytes],
        callback: Optional["ProgressFn"] = None,
        extra_headers: Optional[Dict[str, str]] = None,
    ) -> Optional[requests.Response]:
        """Upload a file to W&B with failure resumption.

        Args:
            url: The url to download
            file: The path to the file you want to upload
            callback: A callback which is passed the number of
            bytes uploaded since the last time it was called, used to report progress
            extra_headers: A dictionary of extra headers to send with the request

        Returns:
            The `requests` library response object
        """
        check_httpclient_logger_handler()
        extra_headers = extra_headers.copy() if extra_headers else {}
        response: Optional[requests.Response] = None
        progress = Progress(file, callback=callback)
        try:
            if "x-ms-blob-type" in extra_headers and self._azure_blob_module:
                self.upload_file_azure(url, progress, extra_headers)
            else:
                if "x-ms-blob-type" in extra_headers:
                    wandb.termwarn(
                        "Azure uploads over 256MB require the azure SDK, install with pip install wandb[azure]",
                        repeat=False,
                    )
                if env.is_debug(env=self._environ):
                    logger.debug("upload_file: %s", url)
                response = self._upload_file_session.put(
                    url, data=progress, headers=extra_headers
                )
                if env.is_debug(env=self._environ):
                    logger.debug("upload_file: %s complete", url)
                response.raise_for_status()
        except requests.exceptions.RequestException as e:
            logger.exception(f"upload_file exception for {url=}")
            response_content = e.response.content if e.response is not None else ""
            status_code = e.response.status_code if e.response is not None else 0
            # S3 reports retryable request timeouts out-of-band
            is_aws_retryable = (
                "x-amz-meta-md5" in extra_headers
                and status_code == 400
                and "RequestTimeout" in str(response_content)
            )
            # We need to rewind the file for the next retry (the file passed in is `seek`'ed to 0)
            progress.rewind()
            # Retry errors from cloud storage or local network issues
            if (
                status_code in (308, 408, 409, 429, 500, 502, 503, 504)
                or isinstance(
                    e,
                    (requests.exceptions.Timeout, requests.exceptions.ConnectionError),
                )
                or is_aws_retryable
            ):
                _e = retry.TransientError(exc=e)
                raise _e.with_traceback(sys.exc_info()[2])
            else:
                wandb._sentry.reraise(e)

        return response

    @normalize_exceptions
    def register_agent(
        self,
        host: str,
        sweep_id: Optional[str] = None,
        project_name: Optional[str] = None,
        entity: Optional[str] = None,
    ) -> dict:
        """Register a new agent.

        Args:
            host (str): hostname
            sweep_id (str): sweep id
            project_name: (str): model that contains sweep
            entity: (str): entity that contains sweep
        """
        mutation = gql(
            """
        mutation CreateAgent(
            $host: String!
            $projectName: String,
            $entityName: String,
            $sweep: String!
        ) {
            createAgent(input: {
                host: $host,
                projectName: $projectName,
                entityName: $entityName,
                sweep: $sweep,
            }) {
                agent {
                    id
                }
            }
        }
        """
        )
        if entity is None:
            entity = self.settings("entity")
        if project_name is None:
            project_name = self.settings("project")

        response = self.gql(
            mutation,
            variable_values={
                "host": host,
                "entityName": entity,
                "projectName": project_name,
                "sweep": sweep_id,
            },
            check_retry_fn=util.no_retry_4xx,
        )
        result: dict = response["createAgent"]["agent"]
        return result

    def agent_heartbeat(
        self, agent_id: str, metrics: dict, run_states: dict
    ) -> List[Dict[str, Any]]:
        """Notify server about agent state, receive commands.

        Args:
            agent_id (str): agent_id
            metrics (dict): system metrics
            run_states (dict): run_id: state mapping
        Returns:
            List of commands to execute.
        """
        mutation = gql(
            """
        mutation Heartbeat(
            $id: ID!,
            $metrics: JSONString,
            $runState: JSONString
        ) {
            agentHeartbeat(input: {
                id: $id,
                metrics: $metrics,
                runState: $runState
            }) {
                agent {
                    id
                }
                commands
            }
        }
        """
        )

        if agent_id is None:
            raise ValueError("Cannot call heartbeat with an unregistered agent.")

        try:
            response = self.gql(
                mutation,
                variable_values={
                    "id": agent_id,
                    "metrics": json.dumps(metrics),
                    "runState": json.dumps(run_states),
                },
                timeout=60,
            )
        except Exception:
            logger.exception("Error communicating with W&B.")
            return []
        else:
            result: List[Dict[str, Any]] = json.loads(
                response["agentHeartbeat"]["commands"]
            )
            return result

    @staticmethod
    def _validate_config_and_fill_distribution(config: dict) -> dict:
        # verify that parameters are well specified.
        # TODO(dag): deprecate this in favor of jsonschema validation once
        # apiVersion 2 is released and local controller is integrated with
        # wandb/client.

        # avoid modifying the original config dict in
        # case it is reused outside the calling func
        config = deepcopy(config)

        # explicitly cast to dict in case config was passed as a sweepconfig
        # sweepconfig does not serialize cleanly to yaml and breaks graphql,
        # but it is a subclass of dict, so this conversion is clean
        config = dict(config)

        if "parameters" not in config:
            # still shows an anaconda warning, but doesn't error
            return config

        for parameter_name in config["parameters"]:
            parameter = config["parameters"][parameter_name]
            if "min" in parameter and "max" in parameter:
                if "distribution" not in parameter:
                    if isinstance(parameter["min"], int) and isinstance(
                        parameter["max"], int
                    ):
                        parameter["distribution"] = "int_uniform"
                    elif isinstance(parameter["min"], float) and isinstance(
                        parameter["max"], float
                    ):
                        parameter["distribution"] = "uniform"
                    else:
                        raise ValueError(
                            f"Parameter {parameter_name} is ambiguous, please specify bounds as both floats (for a float_"
                            "uniform distribution) or ints (for an int_uniform distribution)."
                        )
        return config

    @normalize_exceptions
    def upsert_sweep(
        self,
        config: dict,
        controller: Optional[str] = None,
        launch_scheduler: Optional[str] = None,
        scheduler: Optional[str] = None,
        obj_id: Optional[str] = None,
        project: Optional[str] = None,
        entity: Optional[str] = None,
        state: Optional[str] = None,
        prior_runs: Optional[List[str]] = None,
        template_variable_values: Optional[Dict[str, Any]] = None,
    ) -> Tuple[str, List[str]]:
        """Upsert a sweep object.

        Args:
            config (dict): sweep config (will be converted to yaml)
            controller (str): controller to use
            launch_scheduler (str): launch scheduler to use
            scheduler (str): scheduler to use
            obj_id (str): object id
            project (str): project to use
            entity (str): entity to use
            state (str): state
            prior_runs (list): IDs of existing runs to add to the sweep
            template_variable_values (dict): template variable values
        """
        project_query = """
            project {
                id
                name
                entity {
                    id
                    name
                }
            }
        """
        mutation_str = """
        mutation UpsertSweep(
            $id: ID,
            $config: String,
            $description: String,
            $entityName: String,
            $projectName: String,
            $controller: JSONString,
            $scheduler: JSONString,
            $state: String,
            $priorRunsFilters: JSONString,
        ) {
            upsertSweep(input: {
                id: $id,
                config: $config,
                description: $description,
                entityName: $entityName,
                projectName: $projectName,
                controller: $controller,
                scheduler: $scheduler,
                state: $state,
                priorRunsFilters: $priorRunsFilters,
            }) {
                sweep {
                    name
                    _PROJECT_QUERY_
                }
                configValidationWarnings
            }
        }
        """
        # TODO(jhr): we need protocol versioning to know schema is not supported
        # for now we will just try both new and old query
        mutation_5 = gql(
            mutation_str.replace(
                "$controller: JSONString,",
                "$controller: JSONString,$launchScheduler: JSONString, $templateVariableValues: JSONString,",
            )
            .replace(
                "controller: $controller,",
                "controller: $controller,launchScheduler: $launchScheduler,templateVariableValues: $templateVariableValues,",
            )
            .replace("_PROJECT_QUERY_", project_query)
        )
        # launchScheduler was introduced in core v0.14.0
        mutation_4 = gql(
            mutation_str.replace(
                "$controller: JSONString,",
                "$controller: JSONString,$launchScheduler: JSONString,",
            )
            .replace(
                "controller: $controller,",
                "controller: $controller,launchScheduler: $launchScheduler",
            )
            .replace("_PROJECT_QUERY_", project_query)
        )

        # mutation 3 maps to backend that can support CLI version of at least 0.10.31
        mutation_3 = gql(mutation_str.replace("_PROJECT_QUERY_", project_query))
        mutation_2 = gql(
            mutation_str.replace("_PROJECT_QUERY_", project_query).replace(
                "configValidationWarnings", ""
            )
        )
        mutation_1 = gql(
            mutation_str.replace("_PROJECT_QUERY_", "").replace(
                "configValidationWarnings", ""
            )
        )

        # TODO(dag): replace this with a query for protocol versioning
        mutations = [mutation_5, mutation_4, mutation_3, mutation_2, mutation_1]

        config = self._validate_config_and_fill_distribution(config)

        # Silly, but attr-dicts like EasyDicts don't serialize correctly to yaml.
        # This sanitizes them with a round trip pass through json to get a regular dict.
        config_str = yaml.dump(
            json.loads(json.dumps(config)), Dumper=util.NonOctalStringDumper
        )
        filters = None
        if prior_runs:
            filters = json.dumps({"$or": [{"name": r} for r in prior_runs]})

        err: Optional[Exception] = None
        for mutation in mutations:
            try:
                variables = {
                    "id": obj_id,
                    "config": config_str,
                    "description": config.get("description"),
                    "entityName": entity or self.settings("entity"),
                    "projectName": project or self.settings("project"),
                    "controller": controller,
                    "launchScheduler": launch_scheduler,
                    "templateVariableValues": json.dumps(template_variable_values),
                    "scheduler": scheduler,
                    "priorRunsFilters": filters,
                }
                if state:
                    variables["state"] = state

                response = self.gql(
                    mutation,
                    variable_values=variables,
                    check_retry_fn=util.no_retry_4xx,
                )
            except UsageError:
                raise
            except Exception as e:
                # graphql schema exception is generic
                err = e
                continue
            err = None
            break
        if err:
            raise err

        sweep: Dict[str, Dict[str, Dict]] = response["upsertSweep"]["sweep"]
        project_obj: Dict[str, Dict] = sweep.get("project", {})
        if project_obj:
            self.set_setting("project", project_obj["name"])
            entity_obj: dict = project_obj.get("entity", {})
            if entity_obj:
                self.set_setting("entity", entity_obj["name"])

        warnings = response["upsertSweep"].get("configValidationWarnings", [])
        return response["upsertSweep"]["sweep"]["name"], warnings

    @normalize_exceptions
    def create_anonymous_api_key(self) -> str:
        """Create a new API key belonging to a new anonymous user."""
        mutation = gql(
            """
        mutation CreateAnonymousApiKey {
            createAnonymousEntity(input: {}) {
                apiKey {
                    name
                }
            }
        }
        """
        )

        response = self.gql(mutation, variable_values={})
        key: str = str(response["createAnonymousEntity"]["apiKey"]["name"])
        return key

    @staticmethod
    def file_current(fname: str, md5: B64MD5) -> bool:
        """Checksum a file and compare the md5 with the known md5."""
        return os.path.isfile(fname) and md5_file_b64(fname) == md5

    @normalize_exceptions
    def pull(
        self, project: str, run: Optional[str] = None, entity: Optional[str] = None
    ) -> "List[requests.Response]":
        """Download files from W&B.

        Args:
            project (str): The project to download
            run (str, optional): The run to upload to
            entity (str, optional): The entity to scope this project to.  Defaults to wandb models

        Returns:
            The `requests` library response object
        """
        project, run = self.parse_slug(project, run=run)
        urls = self.download_urls(project, run, entity)
        responses = []
        for filename in urls:
            _, response = self.download_write_file(urls[filename])
            if response:
                responses.append(response)

        return responses

    def get_project(self) -> str:
        project: str = self.default_settings.get("project") or self.settings("project")
        return project

    @normalize_exceptions
    def push(
        self,
        files: Union[List[str], Dict[str, IO]],
        run: Optional[str] = None,
        entity: Optional[str] = None,
        project: Optional[str] = None,
        description: Optional[str] = None,
        force: bool = True,
        progress: Union[TextIO, Literal[False]] = False,
    ) -> "List[Optional[requests.Response]]":
        """Uploads multiple files to W&B.

        Args:
            files (list or dict): The filenames to upload, when dict the values are open files
            run (str, optional): The run to upload to
            entity (str, optional): The entity to scope this project to.  Defaults to wandb models
            project (str, optional): The name of the project to upload to. Defaults to the one in settings.
            description (str, optional): The description of the changes
            force (bool, optional): Whether to prevent push if git has uncommitted changes
            progress (callable, or stream): If callable, will be called with (chunk_bytes,
                total_bytes) as argument. If TextIO, renders a progress bar to it.

        Returns:
            A list of `requests.Response` objects
        """
        if project is None:
            project = self.get_project()
        if project is None:
            raise CommError("No project configured.")
        if run is None:
            run = self.current_run_id

        # TODO(adrian): we use a retriable version of self.upload_file() so
        # will never retry self.upload_urls() here. Instead, maybe we should
        # make push itself retriable.
        _, upload_headers, result = self.upload_urls(
            project,
            files,
            run,
            entity,
        )
        extra_headers = {}
        for upload_header in upload_headers:
            key, val = upload_header.split(":", 1)
            extra_headers[key] = val
        responses = []
        for file_name, file_info in result.items():
            file_url = file_info["uploadUrl"]

            # If the upload URL is relative, fill it in with the base URL,
            # since it's a proxied file store like the on-prem VM.
            if file_url.startswith("/"):
                file_url = f"{self.api_url}{file_url}"

            try:
                # To handle Windows paths
                # TODO: this doesn't handle absolute paths...
                normal_name = os.path.join(*file_name.split("/"))
                open_file = (
                    files[file_name]
                    if isinstance(files, dict)
                    else open(normal_name, "rb")
                )
            except OSError:
                print(f"{file_name} does not exist")  # noqa: T201
                continue
            if progress is False:
                responses.append(
                    self.upload_file_retry(
                        file_info["uploadUrl"], open_file, extra_headers=extra_headers
                    )
                )
            else:
                if callable(progress):
                    responses.append(  # type: ignore
                        self.upload_file_retry(
                            file_url, open_file, progress, extra_headers=extra_headers
                        )
                    )
                else:
                    length = os.fstat(open_file.fileno()).st_size
                    with click.progressbar(  # type: ignore
                        file=progress,
                        length=length,
                        label=f"Uploading file: {file_name}",
                        fill_char=click.style("&", fg="green"),
                    ) as bar:
                        responses.append(
                            self.upload_file_retry(
                                file_url,
                                open_file,
                                lambda bites, _: bar.update(bites),
                                extra_headers=extra_headers,
                            )
                        )
            open_file.close()
        return responses

    def link_artifact(
        self,
        client_id: str,
        server_id: str,
        portfolio_name: str,
        entity: str,
        project: str,
        aliases: Sequence[str],
        organization: str,
    ) -> Dict[str, Any]:
        template = """
                mutation LinkArtifact(
                    $artifactPortfolioName: String!,
                    $entityName: String!,
                    $projectName: String!,
                    $aliases: [ArtifactAliasInput!],
                    ID_TYPE
                    ) {
                        linkArtifact(input: {
                            artifactPortfolioName: $artifactPortfolioName,
                            entityName: $entityName,
                            projectName: $projectName,
                            aliases: $aliases,
                            ID_VALUE
                        }) {
                            versionIndex
                        }
                    }
            """

        org_entity = ""
        if is_artifact_registry_project(project):
            try:
                org_entity = self._resolve_org_entity_name(
                    entity=entity, organization=organization
                )
            except ValueError as e:
                wandb.termerror(str(e))
                raise

        def replace(a: str, b: str) -> None:
            nonlocal template
            template = template.replace(a, b)

        if server_id:
            replace("ID_TYPE", "$artifactID: ID")
            replace("ID_VALUE", "artifactID: $artifactID")
        elif client_id:
            replace("ID_TYPE", "$clientID: ID")
            replace("ID_VALUE", "clientID: $clientID")

        variable_values = {
            "clientID": client_id,
            "artifactID": server_id,
            "artifactPortfolioName": portfolio_name,
            "entityName": org_entity or entity,
            "projectName": project,
            "aliases": [
                {"alias": alias, "artifactCollectionName": portfolio_name}
                for alias in aliases
            ],
        }

        mutation = gql(template)
        response = self.gql(mutation, variable_values=variable_values)
        link_artifact: Dict[str, Any] = response["linkArtifact"]
        return link_artifact

    def _resolve_org_entity_name(self, entity: str, organization: str = "") -> str:
        # resolveOrgEntityName fetches the portfolio's org entity's name.
        #
        # The organization parameter may be empty, an org's display name, or an org entity name.
        #
        # If the server doesn't support fetching the org name of a portfolio, then this returns
        # the organization parameter, or an error if it is empty. Otherwise, this returns the
        # fetched value after validating that the given organization, if not empty, matches
        # either the org's display or entity name.

        if not entity:
            raise ValueError("Entity name is required to resolve org entity name.")

        org_fields = self.server_organization_type_introspection()
        can_shorthand_org_entity = "orgEntity" in org_fields
        if not organization and not can_shorthand_org_entity:
            raise ValueError(
                "Fetching Registry artifacts without inputting an organization "
                "is unavailable for your server version. "
                "Please upgrade your server to 0.50.0 or later."
            )
        if not can_shorthand_org_entity:
            # Server doesn't support fetching org entity to validate,
            # assume org entity is correctly inputted
            return organization

        orgs_from_entity = self._fetch_orgs_and_org_entities_from_entity(entity)
        if organization:
            return _match_org_with_fetched_org_entities(organization, orgs_from_entity)

        # If no input organization provided, error if entity belongs to multiple orgs because we
        # cannot determine which one to use.
        if len(orgs_from_entity) > 1:
            raise ValueError(
                f"Personal entity {entity!r} belongs to multiple organizations "
                "and cannot be used without specifying the organization name. "
                "Please specify the organization in the Registry path or use a team entity in the entity settings."
            )
        return orgs_from_entity[0].entity_name

    def _fetch_orgs_and_org_entities_from_entity(self, entity: str) -> List[_OrgNames]:
        """Fetches organization entity names and display names for a given entity.

        Args:
            entity (str): Entity name to lookup. Can be either a personal or team entity.

        Returns:
            List[_OrgNames]: List of _OrgNames tuples. (_OrgNames(entity_name, display_name))

        Raises:
        ValueError: If entity is not found, has no organizations, or other validation errors.
        """
        query = gql(
            """
            query FetchOrgEntityFromEntity($entityName: String!) {
                entity(name: $entityName) {
                    organization {
                        name
                        orgEntity {
                            name
                        }
                    }
                    user {
                        organizations {
                            name
                            orgEntity {
                                name
                            }
                        }
                    }
                }
            }
            """
        )
        response = self.gql(
            query,
            variable_values={
                "entityName": entity,
            },
        )

        # Parse organization from response
        entity_resp = response["entity"]["organization"]
        user_resp = response["entity"]["user"]
        # Check for organization under team/org entity type
        if entity_resp:
            org_name = entity_resp.get("name")
            org_entity_name = entity_resp.get("orgEntity") and entity_resp[
                "orgEntity"
            ].get("name")
            if not org_name or not org_entity_name:
                raise ValueError(
                    f"Unable to find an organization under entity {entity!r}."
                )
            return [_OrgNames(entity_name=org_entity_name, display_name=org_name)]
        # Check for organization under personal entity type, where a user can belong to multiple orgs
        elif user_resp:
            orgs = user_resp.get("organizations", [])
            org_entities_return = [
                _OrgNames(
                    entity_name=org["orgEntity"]["name"], display_name=org["name"]
                )
                for org in orgs
                if org.get("orgEntity") and org.get("name")
            ]
            if not org_entities_return:
                raise ValueError(
                    f"Unable to resolve an organization associated with personal entity: {entity!r}. "
                    "This could be because its a personal entity that doesn't belong to any organizations. "
                    "Please specify the organization in the Registry path or use a team entity in the entity settings."
                )
            return org_entities_return
        else:
            raise ValueError(f"Unable to find an organization under entity {entity!r}.")

    def _construct_use_artifact_query(
        self,
        artifact_id: str,
        entity_name: Optional[str] = None,
        project_name: Optional[str] = None,
        run_name: Optional[str] = None,
        use_as: Optional[str] = None,
        artifact_entity_name: Optional[str] = None,
        artifact_project_name: Optional[str] = None,
    ) -> Tuple[Document, Dict[str, Any]]:
        query_vars = [
            "$entityName: String!",
            "$projectName: String!",
            "$runName: String!",
            "$artifactID: ID!",
        ]
        query_args = [
            "entityName: $entityName",
            "projectName: $projectName",
            "runName: $runName",
            "artifactID: $artifactID",
        ]

        artifact_types = self.server_use_artifact_input_introspection()
        if "usedAs" in artifact_types and use_as:
            query_vars.append("$usedAs: String")
            query_args.append("usedAs: $usedAs")

        entity_name = entity_name or self.settings("entity")
        project_name = project_name or self.settings("project")
        run_name = run_name or self.current_run_id

        variable_values: Dict[str, Any] = {
            "entityName": entity_name,
            "projectName": project_name,
            "runName": run_name,
            "artifactID": artifact_id,
            "usedAs": use_as,
        }

        server_allows_entity_project_information = self._server_supports(
            ServerFeature.USE_ARTIFACT_WITH_ENTITY_AND_PROJECT_INFORMATION
        )
        if server_allows_entity_project_information:
            query_vars.extend(
                [
                    "$artifactEntityName: String",
                    "$artifactProjectName: String",
                ]
            )
            query_args.extend(
                [
                    "artifactEntityName: $artifactEntityName",
                    "artifactProjectName: $artifactProjectName",
                ]
            )
            variable_values["artifactEntityName"] = artifact_entity_name
            variable_values["artifactProjectName"] = artifact_project_name

        vars_str = ", ".join(query_vars)
        args_str = ", ".join(query_args)

        query = gql(
            f"""
            mutation UseArtifact({vars_str}) {{
                useArtifact(input: {{{args_str}}}) {{
                    artifact {{
                        id
                        digest
                        description
                        state
                        createdAt
                        metadata
                    }}
                }}
            }}
            """
        )
        return query, variable_values

    def use_artifact(
        self,
        artifact_id: str,
        entity_name: Optional[str] = None,
        project_name: Optional[str] = None,
        run_name: Optional[str] = None,
        artifact_entity_name: Optional[str] = None,
        artifact_project_name: Optional[str] = None,
        use_as: Optional[str] = None,
    ) -> Optional[Dict[str, Any]]:
        query, variable_values = self._construct_use_artifact_query(
            artifact_id,
            entity_name,
            project_name,
            run_name,
            use_as,
            artifact_entity_name,
            artifact_project_name,
        )
        response = self.gql(query, variable_values)

        if response["useArtifact"]["artifact"]:
            artifact: Dict[str, Any] = response["useArtifact"]["artifact"]
            return artifact
        return None

    # Fetch fields available in backend of Organization type
    def server_organization_type_introspection(self) -> List[str]:
        query_string = """
            query ProbeServerOrganization {
                OrganizationInfoType: __type(name:"Organization") {
                    fields {
                        name
                    }
                }
            }
        """

        if self.server_organization_type_fields_info is None:
            query = gql(query_string)
            res = self.gql(query)
            input_fields = res.get("OrganizationInfoType", {}).get("fields", [{}])
            self.server_organization_type_fields_info = [
                field["name"] for field in input_fields if "name" in field
            ]

        return self.server_organization_type_fields_info

    # Fetch input arguments for the "artifact" endpoint on the "Project" type
    def server_project_type_introspection(self) -> bool:
        if self.server_supports_enabling_artifact_usage_tracking is not None:
            return self.server_supports_enabling_artifact_usage_tracking

        query_string = """
            query ProbeServerProjectInfo {
                ProjectInfoType: __type(name:"Project") {
                    fields {
                        name
                        args {
                            name
                        }
                    }
                }
            }
        """

        query = gql(query_string)
        res = self.gql(query)
        input_fields = res.get("ProjectInfoType", {}).get("fields", [{}])
        artifact_args: List[Dict[str, str]] = next(
            (
                field.get("args", [])
                for field in input_fields
                if field.get("name") == "artifact"
            ),
            [],
        )
        self.server_supports_enabling_artifact_usage_tracking = any(
            arg.get("name") == "enableTracking" for arg in artifact_args
        )

        return self.server_supports_enabling_artifact_usage_tracking

    def create_artifact_type(
        self,
        artifact_type_name: str,
        entity_name: Optional[str] = None,
        project_name: Optional[str] = None,
        description: Optional[str] = None,
    ) -> Optional[str]:
        mutation = gql(
            """
        mutation CreateArtifactType(
            $entityName: String!,
            $projectName: String!,
            $artifactTypeName: String!,
            $description: String
        ) {
            createArtifactType(input: {
                entityName: $entityName,
                projectName: $projectName,
                name: $artifactTypeName,
                description: $description
            }) {
                artifactType {
                    id
                }
            }
        }
        """
        )
        entity_name = entity_name or self.settings("entity")
        project_name = project_name or self.settings("project")
        response = self.gql(
            mutation,
            variable_values={
                "entityName": entity_name,
                "projectName": project_name,
                "artifactTypeName": artifact_type_name,
                "description": description,
            },
        )
        _id: Optional[str] = response["createArtifactType"]["artifactType"]["id"]
        return _id

    def server_artifact_introspection(self) -> List[str]:
        query_string = """
            query ProbeServerArtifact {
                ArtifactInfoType: __type(name:"Artifact") {
                    fields {
                        name
                    }
                }
            }
        """

        if self.server_artifact_fields_info is None:
            query = gql(query_string)
            res = self.gql(query)
            input_fields = res.get("ArtifactInfoType", {}).get("fields", [{}])
            self.server_artifact_fields_info = [
                field["name"] for field in input_fields if "name" in field
            ]

        return self.server_artifact_fields_info

    def server_create_artifact_introspection(self) -> List[str]:
        query_string = """
            query ProbeServerCreateArtifactInput {
                CreateArtifactInputInfoType: __type(name:"CreateArtifactInput") {
                    inputFields{
                        name
                    }
                }
            }
        """

        if self.server_create_artifact_input_info is None:
            query = gql(query_string)
            res = self.gql(query)
            input_fields = res.get("CreateArtifactInputInfoType", {}).get(
                "inputFields", [{}]
            )
            self.server_create_artifact_input_info = [
                field["name"] for field in input_fields if "name" in field
            ]

        return self.server_create_artifact_input_info

    def _get_create_artifact_mutation(
        self,
        fields: List,
        history_step: Optional[int],
        distributed_id: Optional[str],
    ) -> str:
        types = ""
        values = ""

        if "historyStep" in fields and history_step not in [0, None]:
            types += "$historyStep: Int64!,"
            values += "historyStep: $historyStep,"

        if distributed_id:
            types += "$distributedID: String,"
            values += "distributedID: $distributedID,"

        if "clientID" in fields:
            types += "$clientID: ID,"
            values += "clientID: $clientID,"

        if "sequenceClientID" in fields:
            types += "$sequenceClientID: ID,"
            values += "sequenceClientID: $sequenceClientID,"

        if "enableDigestDeduplication" in fields:
            values += "enableDigestDeduplication: true,"

        if "ttlDurationSeconds" in fields:
            types += "$ttlDurationSeconds: Int64,"
            values += "ttlDurationSeconds: $ttlDurationSeconds,"

        if "tags" in fields:
            types += "$tags: [TagInput!],"
            values += "tags: $tags,"

        query_template = """
            mutation CreateArtifact(
                $artifactTypeName: String!,
                $artifactCollectionNames: [String!],
                $entityName: String!,
                $projectName: String!,
                $runName: String,
                $description: String,
                $digest: String!,
                $aliases: [ArtifactAliasInput!],
                $metadata: JSONString,
                _CREATE_ARTIFACT_ADDITIONAL_TYPE_
            ) {
                createArtifact(input: {
                    artifactTypeName: $artifactTypeName,
                    artifactCollectionNames: $artifactCollectionNames,
                    entityName: $entityName,
                    projectName: $projectName,
                    runName: $runName,
                    description: $description,
                    digest: $digest,
                    digestAlgorithm: MANIFEST_MD5,
                    aliases: $aliases,
                    metadata: $metadata,
                    _CREATE_ARTIFACT_ADDITIONAL_VALUE_
                }) {
                    artifact {
                        id
                        state
                        artifactSequence {
                            id
                            latestArtifact {
                                id
                                versionIndex
                            }
                        }
                    }
                }
            }
        """

        return query_template.replace(
            "_CREATE_ARTIFACT_ADDITIONAL_TYPE_", types
        ).replace("_CREATE_ARTIFACT_ADDITIONAL_VALUE_", values)

    def create_artifact(
        self,
        artifact_type_name: str,
        artifact_collection_name: str,
        digest: str,
        client_id: Optional[str] = None,
        sequence_client_id: Optional[str] = None,
        entity_name: Optional[str] = None,
        project_name: Optional[str] = None,
        run_name: Optional[str] = None,
        description: Optional[str] = None,
        metadata: Optional[Dict] = None,
        ttl_duration_seconds: Optional[int] = None,
        aliases: Optional[List[Dict[str, str]]] = None,
        tags: Optional[List[Dict[str, str]]] = None,
        distributed_id: Optional[str] = None,
        is_user_created: Optional[bool] = False,
        history_step: Optional[int] = None,
    ) -> Tuple[Dict, Dict]:
        fields = self.server_create_artifact_introspection()
        artifact_fields = self.server_artifact_introspection()
        if ("ttlIsInherited" not in artifact_fields) and ttl_duration_seconds:
            wandb.termwarn(
                "Server not compatible with setting Artifact TTLs, please upgrade the server to use Artifact TTL"
            )
            # ttlDurationSeconds is only usable if ttlIsInherited is also present
            ttl_duration_seconds = None
        if ("tags" not in artifact_fields) and tags:
            wandb.termwarn(
                "Server not compatible with Artifact tags. "
                "To use Artifact tags, please upgrade the server to v0.85 or higher."
            )

        query_template = self._get_create_artifact_mutation(
            fields, history_step, distributed_id
        )

        entity_name = entity_name or self.settings("entity")
        project_name = project_name or self.settings("project")
        if not is_user_created:
            run_name = run_name or self.current_run_id

        mutation = gql(query_template)
        response = self.gql(
            mutation,
            variable_values={
                "entityName": entity_name,
                "projectName": project_name,
                "runName": run_name,
                "artifactTypeName": artifact_type_name,
                "artifactCollectionNames": [artifact_collection_name],
                "clientID": client_id,
                "sequenceClientID": sequence_client_id,
                "digest": digest,
                "description": description,
                "aliases": list(aliases or []),
                "tags": list(tags or []),
                "metadata": json.dumps(util.make_safe_for_json(metadata))
                if metadata
                else None,
                "ttlDurationSeconds": ttl_duration_seconds,
                "distributedID": distributed_id,
                "historyStep": history_step,
            },
        )
        av = response["createArtifact"]["artifact"]
        latest = response["createArtifact"]["artifact"]["artifactSequence"].get(
            "latestArtifact"
        )
        return av, latest

    def commit_artifact(self, artifact_id: str) -> "_Response":
        mutation = gql(
            """
        mutation CommitArtifact(
            $artifactID: ID!,
        ) {
            commitArtifact(input: {
                artifactID: $artifactID,
            }) {
                artifact {
                    id
                    digest
                }
            }
        }
        """
        )

        response: _Response = self.gql(
            mutation,
            variable_values={"artifactID": artifact_id},
            timeout=60,
        )
        return response

    def complete_multipart_upload_artifact(
        self,
        artifact_id: str,
        storage_path: str,
        completed_parts: List[Dict[str, Any]],
        upload_id: Optional[str],
        complete_multipart_action: str = "Complete",
    ) -> Optional[str]:
        mutation = gql(
            """
        mutation CompleteMultipartUploadArtifact(
            $completeMultipartAction: CompleteMultipartAction!,
            $completedParts: [UploadPartsInput!]!,
            $artifactID: ID!
            $storagePath: String!
            $uploadID: String!
        ) {
        completeMultipartUploadArtifact(
            input: {
                completeMultipartAction: $completeMultipartAction,
                completedParts: $completedParts,
                artifactID: $artifactID,
                storagePath: $storagePath
                uploadID: $uploadID
            }
            ) {
                digest
            }
        }
        """
        )
        response = self.gql(
            mutation,
            variable_values={
                "completeMultipartAction": complete_multipart_action,
                "artifactID": artifact_id,
                "storagePath": storage_path,
                "completedParts": completed_parts,
                "uploadID": upload_id,
            },
        )
        digest: Optional[str] = response["completeMultipartUploadArtifact"]["digest"]
        return digest

    def create_artifact_manifest(
        self,
        name: str,
        digest: str,
        artifact_id: Optional[str],
        base_artifact_id: Optional[str] = None,
        entity: Optional[str] = None,
        project: Optional[str] = None,
        run: Optional[str] = None,
        include_upload: bool = True,
        type: str = "FULL",
    ) -> Tuple[str, Dict[str, Any]]:
        mutation = gql(
            """
        mutation CreateArtifactManifest(
            $name: String!,
            $digest: String!,
            $artifactID: ID!,
            $baseArtifactID: ID,
            $entityName: String!,
            $projectName: String!,
            $runName: String!,
            $includeUpload: Boolean!,
            {}
        ) {{
            createArtifactManifest(input: {{
                name: $name,
                digest: $digest,
                artifactID: $artifactID,
                baseArtifactID: $baseArtifactID,
                entityName: $entityName,
                projectName: $projectName,
                runName: $runName,
                {}
            }}) {{
                artifactManifest {{
                    id
                    file {{
                        id
                        name
                        displayName
                        uploadUrl @include(if: $includeUpload)
                        uploadHeaders @include(if: $includeUpload)
                    }}
                }}
            }}
        }}
        """.format(
                "$type: ArtifactManifestType = FULL" if type != "FULL" else "",
                "type: $type" if type != "FULL" else "",
            )
        )

        entity_name = entity or self.settings("entity")
        project_name = project or self.settings("project")
        run_name = run or self.current_run_id

        response = self.gql(
            mutation,
            variable_values={
                "name": name,
                "digest": digest,
                "artifactID": artifact_id,
                "baseArtifactID": base_artifact_id,
                "entityName": entity_name,
                "projectName": project_name,
                "runName": run_name,
                "includeUpload": include_upload,
                "type": type,
            },
        )
        return (
            response["createArtifactManifest"]["artifactManifest"]["id"],
            response["createArtifactManifest"]["artifactManifest"]["file"],
        )

    def update_artifact_manifest(
        self,
        artifact_manifest_id: str,
        base_artifact_id: Optional[str] = None,
        digest: Optional[str] = None,
        include_upload: Optional[bool] = True,
    ) -> Tuple[str, Dict[str, Any]]:
        mutation = gql(
            """
        mutation UpdateArtifactManifest(
            $artifactManifestID: ID!,
            $digest: String,
            $baseArtifactID: ID,
            $includeUpload: Boolean!,
        ) {
            updateArtifactManifest(input: {
                artifactManifestID: $artifactManifestID,
                digest: $digest,
                baseArtifactID: $baseArtifactID,
            }) {
                artifactManifest {
                    id
                    file {
                        id
                        name
                        displayName
                        uploadUrl @include(if: $includeUpload)
                        uploadHeaders @include(if: $includeUpload)
                    }
                }
            }
        }
        """
        )

        response = self.gql(
            mutation,
            variable_values={
                "artifactManifestID": artifact_manifest_id,
                "digest": digest,
                "baseArtifactID": base_artifact_id,
                "includeUpload": include_upload,
            },
        )

        return (
            response["updateArtifactManifest"]["artifactManifest"]["id"],
            response["updateArtifactManifest"]["artifactManifest"]["file"],
        )

    def update_artifact_metadata(
        self, artifact_id: str, metadata: Dict[str, Any]
    ) -> Dict[str, Any]:
        """Set the metadata of the given artifact version."""
        mutation = gql(
            """
        mutation UpdateArtifact(
            $artifactID: ID!,
            $metadata: JSONString,
        ) {
            updateArtifact(input: {
                artifactID: $artifactID,
                metadata: $metadata,
            }) {
                artifact {
                    id
                }
            }
        }
        """
        )
        response = self.gql(
            mutation,
            variable_values={
                "artifactID": artifact_id,
                "metadata": json.dumps(metadata),
            },
        )
        return response["updateArtifact"]["artifact"]

    def _resolve_client_id(
        self,
        client_id: str,
    ) -> Optional[str]:
        if client_id in self._client_id_mapping:
            return self._client_id_mapping[client_id]

        query = gql(
            """
            query ClientIDMapping($clientID: ID!) {
                clientIDMapping(clientID: $clientID) {
                    serverID
                }
            }
        """
        )
        response = self.gql(
            query,
            variable_values={
                "clientID": client_id,
            },
        )
        server_id = None
        if response is not None:
            client_id_mapping = response.get("clientIDMapping")
            if client_id_mapping is not None:
                server_id = client_id_mapping.get("serverID")
                if server_id is not None:
                    self._client_id_mapping[client_id] = server_id
        return server_id

    def server_create_artifact_file_spec_input_introspection(self) -> List:
        query_string = """
           query ProbeServerCreateArtifactFileSpecInput {
                CreateArtifactFileSpecInputInfoType: __type(name:"CreateArtifactFileSpecInput") {
                    inputFields{
                        name
                    }
                }
            }
        """

        query = gql(query_string)
        res = self.gql(query)
        create_artifact_file_spec_input_info = [
            field.get("name", "")
            for field in res.get("CreateArtifactFileSpecInputInfoType", {}).get(
                "inputFields", [{}]
            )
        ]
        return create_artifact_file_spec_input_info

    @normalize_exceptions
    def create_artifact_files(
        self, artifact_files: Iterable["CreateArtifactFileSpecInput"]
    ) -> Mapping[str, "CreateArtifactFilesResponseFile"]:
        query_template = """
        mutation CreateArtifactFiles(
            $storageLayout: ArtifactStorageLayout!
            $artifactFiles: [CreateArtifactFileSpecInput!]!
        ) {
            createArtifactFiles(input: {
                artifactFiles: $artifactFiles,
                storageLayout: $storageLayout,
            }) {
                files {
                    edges {
                        node {
                            id
                            name
                            displayName
                            uploadUrl
                            uploadHeaders
                            _MULTIPART_UPLOAD_FIELDS_
                            artifact {
                                id
                            }
                        }
                    }
                }
            }
        }
        """
        multipart_upload_url_query = """
            storagePath
            uploadMultipartUrls {
                uploadID
                uploadUrlParts {
                    partNumber
                    uploadUrl
                }
            }
        """

        # TODO: we should use constants here from interface/artifacts.py
        # but probably don't want the dependency. We're going to remove
        # this setting in a future release, so I'm just hard-coding the strings.
        storage_layout = "V2"
        if env.get_use_v1_artifacts():
            storage_layout = "V1"

        create_artifact_file_spec_input_fields = (
            self.server_create_artifact_file_spec_input_introspection()
        )
        if "uploadPartsInput" in create_artifact_file_spec_input_fields:
            query_template = query_template.replace(
                "_MULTIPART_UPLOAD_FIELDS_", multipart_upload_url_query
            )
        else:
            query_template = query_template.replace("_MULTIPART_UPLOAD_FIELDS_", "")

        mutation = gql(query_template)
        response = self.gql(
            mutation,
            variable_values={
                "storageLayout": storage_layout,
                "artifactFiles": [af for af in artifact_files],
            },
        )

        result = {}
        for edge in response["createArtifactFiles"]["files"]["edges"]:
            node = edge["node"]
            result[node["displayName"]] = node
        return result

    @normalize_exceptions
    def notify_scriptable_run_alert(
        self,
        title: str,
        text: str,
        level: Optional[str] = None,
        wait_duration: Optional["Number"] = None,
    ) -> bool:
        mutation = gql(
            """
        mutation NotifyScriptableRunAlert(
            $entityName: String!,
            $projectName: String!,
            $runName: String!,
            $title: String!,
            $text: String!,
            $severity: AlertSeverity = INFO,
            $waitDuration: Duration
        ) {
            notifyScriptableRunAlert(input: {
                entityName: $entityName,
                projectName: $projectName,
                runName: $runName,
                title: $title,
                text: $text,
                severity: $severity,
                waitDuration: $waitDuration
            }) {
               success
            }
        }
        """
        )

        response = self.gql(
            mutation,
            variable_values={
                "entityName": self.settings("entity"),
                "projectName": self.settings("project"),
                "runName": self.current_run_id,
                "title": title,
                "text": text,
                "severity": level,
                "waitDuration": wait_duration,
            },
        )
        success: bool = response["notifyScriptableRunAlert"]["success"]
        return success

    def get_sweep_state(
        self, sweep: str, entity: Optional[str] = None, project: Optional[str] = None
    ) -> "SweepState":
        state: SweepState = self.sweep(
            sweep=sweep, entity=entity, project=project, specs="{}"
        )["state"]
        return state

    def set_sweep_state(
        self,
        sweep: str,
        state: "SweepState",
        entity: Optional[str] = None,
        project: Optional[str] = None,
    ) -> None:
        assert state in ("RUNNING", "PAUSED", "CANCELED", "FINISHED")
        s = self.sweep(sweep=sweep, entity=entity, project=project, specs="{}")
        curr_state = s["state"].upper()
        if state == "PAUSED" and curr_state not in ("PAUSED", "RUNNING"):
            raise Exception(f"Cannot pause {curr_state.lower()} sweep.")
        elif state != "RUNNING" and curr_state not in ("RUNNING", "PAUSED", "PENDING"):
            raise Exception(f"Sweep already {curr_state.lower()}.")
        sweep_id = s["id"]
        mutation = gql(
            """
        mutation UpsertSweep(
            $id: ID,
            $state: String,
            $entityName: String,
            $projectName: String
        ) {
            upsertSweep(input: {
                id: $id,
                state: $state,
                entityName: $entityName,
                projectName: $projectName
            }){
                sweep {
                    name
                }
            }
        }
        """
        )
        self.gql(
            mutation,
            variable_values={
                "id": sweep_id,
                "state": state,
                "entityName": entity or self.settings("entity"),
                "projectName": project or self.settings("project"),
            },
        )

    def stop_sweep(
        self,
        sweep: str,
        entity: Optional[str] = None,
        project: Optional[str] = None,
    ) -> None:
        """Finish the sweep to stop running new runs and let currently running runs finish."""
        self.set_sweep_state(
            sweep=sweep, state="FINISHED", entity=entity, project=project
        )

    def cancel_sweep(
        self,
        sweep: str,
        entity: Optional[str] = None,
        project: Optional[str] = None,
    ) -> None:
        """Cancel the sweep to kill all running runs and stop running new runs."""
        self.set_sweep_state(
            sweep=sweep, state="CANCELED", entity=entity, project=project
        )

    def pause_sweep(
        self,
        sweep: str,
        entity: Optional[str] = None,
        project: Optional[str] = None,
    ) -> None:
        """Pause the sweep to temporarily stop running new runs."""
        self.set_sweep_state(
            sweep=sweep, state="PAUSED", entity=entity, project=project
        )

    def resume_sweep(
        self,
        sweep: str,
        entity: Optional[str] = None,
        project: Optional[str] = None,
    ) -> None:
        """Resume the sweep to continue running new runs."""
        self.set_sweep_state(
            sweep=sweep, state="RUNNING", entity=entity, project=project
        )

    def _status_request(self, url: str, length: int) -> requests.Response:
        """Ask google how much we've uploaded."""
        check_httpclient_logger_handler()
        return requests.put(
            url=url,
            headers={"Content-Length": "0", "Content-Range": f"bytes */{length}"},
        )

    def _flatten_edges(self, response: "_Response") -> List[Dict]:
        """Return an array from the nested graphql relay structure."""
        return [node["node"] for node in response["edges"]]

    @normalize_exceptions
    def stop_run(
        self,
        run_id: str,
    ) -> bool:
        mutation = gql(
            """
            mutation stopRun($id: ID!) {
                stopRun(input: {
                    id: $id
                }) {
                    clientMutationId
                    success
                }
            }
            """
        )

        response = self.gql(
            mutation,
            variable_values={
                "id": run_id,
            },
        )

        success: bool = response["stopRun"].get("success")

        return success