Tony20100/langchain_full huggingface dataset:
the new model: you should trust this data
deep (bool) – set to True to make a deep copy of the model
self (Model) – 
Returns
new model instance
Return type
Model
delete(url: str, **kwargs: Any) → Response[source]¶
DELETE the URL and return the text.
Parameters
url (str) – 
kwargs (Any) – 
Return type
Response
dict(*, include: Optional[Union[AbstractSetIntStr, MappingIntStrAny]] = None, exclude: Optional[Union[AbstractSetIntStr, MappingIntStrAny]] = None, by_alias: bool = False, skip_defaults: Optional[bool] = None, exclude_unset: bool = False, exclude_defaults: bool = False, exclude_none: bool = False) → DictStrAny¶
Generate a dictionary representation of the model, optionally specifying which fields to include or exclude.
Parameters
include (Optional[Union[AbstractSetIntStr, MappingIntStrAny]]) – 
exclude (Optional[Union[AbstractSetIntStr, MappingIntStrAny]]) – 
by_alias (bool) – 
skip_defaults (Optional[bool]) – 
exclude_unset (bool) – 
exclude_defaults (bool) – 
exclude_none (bool) – 
Return type
DictStrAny
classmethod from_orm(obj: Any) → Model¶
Parameters
obj (Any) – 
Return type
Model
get(url: str, **kwargs: Any) → Response[source]¶
GET the URL and return the text.
Parameters
url (str) – 
kwargs (Any) – 
Return type
Response
url (str) – 
kwargs (Any) – 
Return type
Response
json(*, include: Optional[Union[AbstractSetIntStr, MappingIntStrAny]] = None, exclude: Optional[Union[AbstractSetIntStr, MappingIntStrAny]] = None, by_alias: bool = False, skip_defaults: Optional[bool] = None, exclude_unset: bool = False, exclude_defaults: bool = False, exclude_none: bool = False, encoder: Optional[Callable[[Any], Any]] = None, models_as_dict: bool = True, **dumps_kwargs: Any) → unicode¶
Generate a JSON representation of the model, include and exclude arguments as per dict().
encoder is an optional function to supply as default to json.dumps(), other arguments as per json.dumps().
Parameters
include (Optional[Union[AbstractSetIntStr, MappingIntStrAny]]) – 
exclude (Optional[Union[AbstractSetIntStr, MappingIntStrAny]]) – 
by_alias (bool) – 
skip_defaults (Optional[bool]) – 
exclude_unset (bool) – 
exclude_defaults (bool) – 
exclude_none (bool) – 
encoder (Optional[Callable[[Any], Any]]) – 
models_as_dict (bool) – 
dumps_kwargs (Any) – 
Return type
unicode
classmethod parse_file(path: Union[str, Path], *, content_type: unicode = None, encoding: unicode = 'utf8', proto: Protocol = None, allow_pickle: bool = False) → Model¶
Parameters
path (Union[str, Path]) – 
content_type (unicode) – 
encoding (unicode) – 
proto (Protocol) – 
allow_pickle (bool) – 
Return type
Model
classmethod parse_obj(obj: Any) → Model¶
Parameters
obj (Any) – 
Return type
Parameters
obj (Any) – 
Return type
Model
classmethod parse_raw(b: Union[str, bytes], *, content_type: unicode = None, encoding: unicode = 'utf8', proto: Protocol = None, allow_pickle: bool = False) → Model¶
Parameters
b (Union[str, bytes]) – 
content_type (unicode) – 
encoding (unicode) – 
proto (Protocol) – 
allow_pickle (bool) – 
Return type
Model
patch(url: str, data: Dict[str, Any], **kwargs: Any) → Response[source]¶
PATCH the URL and return the text.
Parameters
url (str) – 
data (Dict[str, Any]) – 
kwargs (Any) – 
Return type
Response
post(url: str, data: Dict[str, Any], **kwargs: Any) → Response[source]¶
POST to the URL and return the text.
Parameters
url (str) – 
data (Dict[str, Any]) – 
kwargs (Any) – 
Return type
Response
put(url: str, data: Dict[str, Any], **kwargs: Any) → Response[source]¶
PUT the URL and return the text.
Parameters
url (str) – 
data (Dict[str, Any]) – 
kwargs (Any) – 
Return type
Response
classmethod schema(by_alias: bool = True, ref_template: unicode = '#/definitions/{model}') → DictStrAny¶
Parameters
by_alias (bool) – 
ref_template (unicode) – 
Return type
DictStrAny
classmethod schema_json(*, by_alias: bool = True, ref_template: unicode = '#/definitions/{model}', **dumps_kwargs: Any) → unicode¶
Parameters
by_alias (bool) – 
ref_template (unicode) –
Parameters
by_alias (bool) – 
ref_template (unicode) – 
dumps_kwargs (Any) – 
Return type
unicode
classmethod update_forward_refs(**localns: Any) → None¶
Try to update ForwardRefs on fields based on this Model, globalns and localns.
Parameters
localns (Any) – 
Return type
None
classmethod validate(value: Any) → Model¶
Parameters
value (Any) – 
Return type
Model
Examples using Requests¶
Natural Language APIs
langchain_community.utilities.asknews.AskNewsAPIWrapper¶
class langchain_community.utilities.asknews.AskNewsAPIWrapper[source]¶
Bases: BaseModel
Wrapper for AskNews API.
Create a new model by parsing and validating input data from keyword arguments.
Raises ValidationError if the input data cannot be parsed to form a valid model.
param asknews_client_id: Optional[str] = None¶
Client ID for the AskNews API.
param asknews_client_secret: Optional[str] = None¶
Client Secret for the AskNews API.
async asearch_news(query: str, max_results: int = 10, hours_back: int = 0) → str[source]¶
Search news in AskNews API asynchronously.
Parameters
query (str) – 
max_results (int) – 
hours_back (int) – 
Return type
str
classmethod construct(_fields_set: Optional[SetStr] = None, **values: Any) → Model¶
Creates a new model setting __dict__ and __fields_set__ from trusted or pre-validated data.
Default values are respected, but no other validation is performed.
Behaves as if Config.extra = ‘allow’ was set since it adds all passed values
Parameters
_fields_set (Optional[SetStr]) – 
values (Any) – 
Return type
Model
copy(*, include: Optional[Union[AbstractSetIntStr, MappingIntStrAny]] = None, exclude: Optional[Union[AbstractSetIntStr, MappingIntStrAny]] = None, update: Optional[DictStrAny] = None, deep: bool = False) → Model¶
Duplicate a model, optionally choose which fields to include, exclude and change.
Parameters
include (Optional[Union[AbstractSetIntStr, MappingIntStrAny]]) – fields to include in new model
Parameters
obj (Any) – 
Return type
Model
classmethod parse_raw(b: Union[str, bytes], *, content_type: unicode = None, encoding: unicode = 'utf8', proto: Protocol = None, allow_pickle: bool = False) → Model¶
Parameters
b (Union[str, bytes]) – 
content_type (unicode) – 
encoding (unicode) – 
proto (Protocol) – 
allow_pickle (bool) – 
Return type
Model
classmethod schema(by_alias: bool = True, ref_template: unicode = '#/definitions/{model}') → DictStrAny¶
Parameters
by_alias (bool) – 
ref_template (unicode) – 
Return type
DictStrAny
classmethod schema_json(*, by_alias: bool = True, ref_template: unicode = '#/definitions/{model}', **dumps_kwargs: Any) → unicode¶
Parameters
by_alias (bool) – 
ref_template (unicode) – 
dumps_kwargs (Any) – 
Return type
unicode
search_news(query: str, max_results: int = 10, hours_back: int = 0) → str[source]¶
Search news in AskNews API synchronously.
Parameters
query (str) – 
max_results (int) – 
hours_back (int) – 
Return type
str
classmethod update_forward_refs(**localns: Any) → None¶
Try to update ForwardRefs on fields based on this Model, globalns and localns.
Parameters
localns (Any) – 
Return type
None
classmethod validate(value: Any) → Model¶
Parameters
value (Any) – 
Return type
Model
langchain_community.utilities.clickup.CUList¶
class langchain_community.utilities.clickup.CUList(folder_id: float, name: str, content: Optional[str] = None, due_date: Optional[int] = None, due_date_time: Optional[bool] = None, priority: Optional[int] = None, assignee: Optional[int] = None, status: Optional[str] = None)[source]¶
Component class for a list.
Attributes
assignee
content
due_date
due_date_time
priority
status
folder_id
name
Methods
__init__(folder_id, name[, content, ...])
from_data(data)
Parameters
folder_id (float) – 
name (str) – 
content (Optional[str]) – 
due_date (Optional[int]) – 
due_date_time (Optional[bool]) – 
priority (Optional[int]) – 
assignee (Optional[int]) – 
status (Optional[str]) – 
__init__(folder_id: float, name: str, content: Optional[str] = None, due_date: Optional[int] = None, due_date_time: Optional[bool] = None, priority: Optional[int] = None, assignee: Optional[int] = None, status: Optional[str] = None) → None¶
Parameters
folder_id (float) – 
name (str) – 
content (Optional[str]) – 
due_date (Optional[int]) – 
due_date_time (Optional[bool]) – 
priority (Optional[int]) – 
assignee (Optional[int]) – 
status (Optional[str]) – 
Return type
None
classmethod from_data(data: dict) → CUList[source]¶
Parameters
data (dict) – 
Return type
CUList
langchain_community.utilities.clickup.ClickupAPIWrapper¶
class langchain_community.utilities.clickup.ClickupAPIWrapper[source]¶
Bases: BaseModel
Wrapper for Clickup API.
Create a new model by parsing and validating input data from keyword arguments.
Raises ValidationError if the input data cannot be parsed to form a valid model.
param access_token: Optional[str] = None¶
param folder_id: Optional[str] = None¶
param list_id: Optional[str] = None¶
param space_id: Optional[str] = None¶
param team_id: Optional[str] = None¶
attempt_parse_teams(input_dict: dict) → Dict[str, List[dict]][source]¶
Parse appropriate content from the list of teams.
Parameters
input_dict (dict) – 
Return type
Dict[str, List[dict]]
classmethod construct(_fields_set: Optional[SetStr] = None, **values: Any) → Model¶
Creates a new model setting __dict__ and __fields_set__ from trusted or pre-validated data.
Default values are respected, but no other validation is performed.
Behaves as if Config.extra = ‘allow’ was set since it adds all passed values
Parameters
_fields_set (Optional[SetStr]) – 
values (Any) – 
Return type
Model
copy(*, include: Optional[Union[AbstractSetIntStr, MappingIntStrAny]] = None, exclude: Optional[Union[AbstractSetIntStr, MappingIntStrAny]] = None, update: Optional[DictStrAny] = None, deep: bool = False) → Model¶
Duplicate a model, optionally choose which fields to include, exclude and change.
Parameters
include (Optional[Union[AbstractSetIntStr, MappingIntStrAny]]) – fields to include in new model
exclude (Optional[Union[AbstractSetIntStr, MappingIntStrAny]]) – fields to exclude from new model, as with values this takes precedence over include
update (Optional[DictStrAny]) – values to change/add in the new model. Note: the data is not validated before creating
the new model: you should trust this data
deep (bool) – set to True to make a deep copy of the model
self (Model) – 
Returns
new model instance
Return type
Model
create_folder(query: str) → Dict[source]¶
Creates a new folder.
Parameters
query (str) – 
Return type
Dict
create_list(query: str) → Dict[source]¶
Creates a new list.
Parameters
query (str) – 
Return type
Dict
create_task(query: str) → Dict[source]¶
Creates a new task.
Parameters
query (str) – 
Return type
Dict
dict(*, include: Optional[Union[AbstractSetIntStr, MappingIntStrAny]] = None, exclude: Optional[Union[AbstractSetIntStr, MappingIntStrAny]] = None, by_alias: bool = False, skip_defaults: Optional[bool] = None, exclude_unset: bool = False, exclude_defaults: bool = False, exclude_none: bool = False) → DictStrAny¶
Generate a dictionary representation of the model, optionally specifying which fields to include or exclude.
Parameters
include (Optional[Union[AbstractSetIntStr, MappingIntStrAny]]) – 
exclude (Optional[Union[AbstractSetIntStr, MappingIntStrAny]]) – 
by_alias (bool) – 
skip_defaults (Optional[bool]) – 
exclude_unset (bool) – 
exclude_defaults (bool) – 
exclude_none (bool) – 
Return type
DictStrAny
exclude_none (bool) – 
Return type
DictStrAny
classmethod from_orm(obj: Any) → Model¶
Parameters
obj (Any) – 
Return type
Model
classmethod get_access_code_url(oauth_client_id: str, redirect_uri: str = 'https://google.com') → str[source]¶
Get the URL to get an access code.
Parameters
oauth_client_id (str) – 
redirect_uri (str) – 
Return type
str
classmethod get_access_token(oauth_client_id: str, oauth_client_secret: str, code: str) → Optional[str][source]¶
Get the access token.
Parameters
oauth_client_id (str) – 
oauth_client_secret (str) – 
code (str) – 
Return type
Optional[str]
get_authorized_teams() → Dict[Any, Any][source]¶
Get all teams for the user.
Return type
Dict[Any, Any]
get_default_params() → Dict[source]¶
Return type
Dict
get_folders() → Dict[source]¶
Get all the folders for the team.
Return type
Dict
get_headers() → Mapping[str, Union[str, bytes]][source]¶
Get the headers for the request.
Return type
Mapping[str, Union[str, bytes]]
get_lists() → Dict[source]¶
Get all available lists.
Return type
Dict
get_spaces() → Dict[source]¶
Get all spaces for the team.
Return type
Dict
get_task(query: str, fault_tolerant: bool = True) → Dict[source]¶
Retrieve a specific task.
Parameters
query (str) – 
fault_tolerant (bool) – 
Return type
Dict
get_task_attribute(query: str) → Dict[source]¶
Update an attribute of a specified task.
Parameters
Update an attribute of a specified task.
Parameters
query (str) – 
Return type
Dict
json(*, include: Optional[Union[AbstractSetIntStr, MappingIntStrAny]] = None, exclude: Optional[Union[AbstractSetIntStr, MappingIntStrAny]] = None, by_alias: bool = False, skip_defaults: Optional[bool] = None, exclude_unset: bool = False, exclude_defaults: bool = False, exclude_none: bool = False, encoder: Optional[Callable[[Any], Any]] = None, models_as_dict: bool = True, **dumps_kwargs: Any) → unicode¶
Generate a JSON representation of the model, include and exclude arguments as per dict().
encoder is an optional function to supply as default to json.dumps(), other arguments as per json.dumps().
Parameters
include (Optional[Union[AbstractSetIntStr, MappingIntStrAny]]) – 
exclude (Optional[Union[AbstractSetIntStr, MappingIntStrAny]]) – 
by_alias (bool) – 
skip_defaults (Optional[bool]) – 
exclude_unset (bool) – 
exclude_defaults (bool) – 
exclude_none (bool) – 
encoder (Optional[Callable[[Any], Any]]) – 
models_as_dict (bool) – 
dumps_kwargs (Any) – 
Return type
unicode
classmethod parse_file(path: Union[str, Path], *, content_type: unicode = None, encoding: unicode = 'utf8', proto: Protocol = None, allow_pickle: bool = False) → Model¶
Parameters
path (Union[str, Path]) – 
content_type (unicode) – 
encoding (unicode) – 
proto (Protocol) – 
allow_pickle (bool) – 
Return type
Model
classmethod parse_obj(obj: Any) → Model¶
Parameters
obj (Any) –
classmethod parse_obj(obj: Any) → Model¶
Parameters
obj (Any) – 
Return type
Model
classmethod parse_raw(b: Union[str, bytes], *, content_type: unicode = None, encoding: unicode = 'utf8', proto: Protocol = None, allow_pickle: bool = False) → Model¶
Parameters
b (Union[str, bytes]) – 
content_type (unicode) – 
encoding (unicode) – 
proto (Protocol) – 
allow_pickle (bool) – 
Return type
Model
query_tasks(query: str) → Dict[source]¶
Query tasks that match certain fields
Parameters
query (str) – 
Return type
Dict
run(mode: str, query: str) → str[source]¶
Run the API.
Parameters
mode (str) – 
query (str) – 
Return type
str
classmethod schema(by_alias: bool = True, ref_template: unicode = '#/definitions/{model}') → DictStrAny¶
Parameters
by_alias (bool) – 
ref_template (unicode) – 
Return type
DictStrAny
classmethod schema_json(*, by_alias: bool = True, ref_template: unicode = '#/definitions/{model}', **dumps_kwargs: Any) → unicode¶
Parameters
by_alias (bool) – 
ref_template (unicode) – 
dumps_kwargs (Any) – 
Return type
unicode
classmethod update_forward_refs(**localns: Any) → None¶
Try to update ForwardRefs on fields based on this Model, globalns and localns.
Parameters
localns (Any) – 
Return type
None
update_task(query: str) → Dict[source]¶
Update an attribute of a specified task.
Parameters
query (str) – 
Return type
Dict
param steam: Any = None¶
classmethod construct(_fields_set: Optional[SetStr] = None, **values: Any) → Model¶
Creates a new model setting __dict__ and __fields_set__ from trusted or pre-validated data.
Default values are respected, but no other validation is performed.
Behaves as if Config.extra = ‘allow’ was set since it adds all passed values
Parameters
_fields_set (Optional[SetStr]) – 
values (Any) – 
Return type
Model
copy(*, include: Optional[Union[AbstractSetIntStr, MappingIntStrAny]] = None, exclude: Optional[Union[AbstractSetIntStr, MappingIntStrAny]] = None, update: Optional[DictStrAny] = None, deep: bool = False) → Model¶
Duplicate a model, optionally choose which fields to include, exclude and change.
Parameters
include (Optional[Union[AbstractSetIntStr, MappingIntStrAny]]) – fields to include in new model
exclude (Optional[Union[AbstractSetIntStr, MappingIntStrAny]]) – fields to exclude from new model, as with values this takes precedence over include
update (Optional[DictStrAny]) – values to change/add in the new model. Note: the data is not validated before creating
the new model: you should trust this data
deep (bool) – set to True to make a deep copy of the model
self (Model) – 
Returns
new model instance
Return type
Model
details_of_games(name: str) → str[source]¶
Parameters
name (str) – 
Return type
str
Parameters
name (str) – 
Return type
str
dict(*, include: Optional[Union[AbstractSetIntStr, MappingIntStrAny]] = None, exclude: Optional[Union[AbstractSetIntStr, MappingIntStrAny]] = None, by_alias: bool = False, skip_defaults: Optional[bool] = None, exclude_unset: bool = False, exclude_defaults: bool = False, exclude_none: bool = False) → DictStrAny¶
Generate a dictionary representation of the model, optionally specifying which fields to include or exclude.
Parameters
include (Optional[Union[AbstractSetIntStr, MappingIntStrAny]]) – 
exclude (Optional[Union[AbstractSetIntStr, MappingIntStrAny]]) – 
by_alias (bool) – 
skip_defaults (Optional[bool]) – 
exclude_unset (bool) – 
exclude_defaults (bool) – 
exclude_none (bool) – 
Return type
DictStrAny
classmethod from_orm(obj: Any) → Model¶
Parameters
obj (Any) – 
Return type
Model
get_id_link_price(games: dict) → dict[source]¶
The response may contain more than one game, so we need to choose the right
one and return the id.
Parameters
games (dict) – 
Return type
dict
get_operations() → List[dict][source]¶
Return a list of operations.
Return type
List[dict]
get_steam_id(name: str) → str[source]¶
Parameters
name (str) – 
Return type
str
get_users_games(steam_id: str) → List[str][source]¶
Parameters
steam_id (str) – 
Return type
List[str]
Parameters
steam_id (str) – 
Return type
List[str]
json(*, include: Optional[Union[AbstractSetIntStr, MappingIntStrAny]] = None, exclude: Optional[Union[AbstractSetIntStr, MappingIntStrAny]] = None, by_alias: bool = False, skip_defaults: Optional[bool] = None, exclude_unset: bool = False, exclude_defaults: bool = False, exclude_none: bool = False, encoder: Optional[Callable[[Any], Any]] = None, models_as_dict: bool = True, **dumps_kwargs: Any) → unicode¶
Generate a JSON representation of the model, include and exclude arguments as per dict().
encoder is an optional function to supply as default to json.dumps(), other arguments as per json.dumps().
Parameters
include (Optional[Union[AbstractSetIntStr, MappingIntStrAny]]) – 
exclude (Optional[Union[AbstractSetIntStr, MappingIntStrAny]]) – 
by_alias (bool) – 
skip_defaults (Optional[bool]) – 
exclude_unset (bool) – 
exclude_defaults (bool) – 
exclude_none (bool) – 
encoder (Optional[Callable[[Any], Any]]) – 
models_as_dict (bool) – 
dumps_kwargs (Any) – 
Return type
unicode
classmethod parse_file(path: Union[str, Path], *, content_type: unicode = None, encoding: unicode = 'utf8', proto: Protocol = None, allow_pickle: bool = False) → Model¶
Parameters
path (Union[str, Path]) – 
content_type (unicode) – 
encoding (unicode) – 
proto (Protocol) – 
allow_pickle (bool) – 
Return type
Model
classmethod parse_obj(obj: Any) → Model¶
Parameters
obj (Any) – 
Return type
Model
Parameters
obj (Any) – 
Return type
Model
classmethod parse_raw(b: Union[str, bytes], *, content_type: unicode = None, encoding: unicode = 'utf8', proto: Protocol = None, allow_pickle: bool = False) → Model¶
Parameters
b (Union[str, bytes]) – 
content_type (unicode) – 
encoding (unicode) – 
proto (Protocol) – 
allow_pickle (bool) – 
Return type
Model
parse_to_str(details: dict) → str[source]¶
Parse the details result.
Parameters
details (dict) – 
Return type
str
recommended_games(steam_id: str) → str[source]¶
Parameters
steam_id (str) – 
Return type
str
remove_html_tags(html_string: str) → str[source]¶
Parameters
html_string (str) – 
Return type
str
run(mode: str, game: str) → str[source]¶
Parameters
mode (str) – 
game (str) – 
Return type
str
classmethod schema(by_alias: bool = True, ref_template: unicode = '#/definitions/{model}') → DictStrAny¶
Parameters
by_alias (bool) – 
ref_template (unicode) – 
Return type
DictStrAny
classmethod schema_json(*, by_alias: bool = True, ref_template: unicode = '#/definitions/{model}', **dumps_kwargs: Any) → unicode¶
Parameters
by_alias (bool) – 
ref_template (unicode) – 
dumps_kwargs (Any) – 
Return type
unicode
classmethod update_forward_refs(**localns: Any) → None¶
Try to update ForwardRefs on fields based on this Model, globalns and localns.
Parameters
localns (Any) – 
Return type
None
langchain_community.utilities.nvidia_riva.AudioStream¶
class langchain_community.utilities.nvidia_riva.AudioStream(maxsize: int = 0)[source]¶
A message containing streaming audio.
Initialize the queue.
Attributes
complete
Indicate if the audio stream has hungup and been processed.
empty
Indicate in the input stream buffer is empty.
hungup
Indicate if the audio stream has hungup.
running
Indicate if the ASR stream is running.
output
hangup
user_talking
user_quiet
Methods
__init__([maxsize])
Initialize the queue.
aclose([timeout])
Async send the hangup signal.
aput(item[, timeout])
Async put a new item into the queue.
close([timeout])
Send the hangup signal.
put(item[, timeout])
Put a new item into the queue.
register(responses)
Drain the responses from the provided iterator and put them into a queue.
Parameters
maxsize (int) – 
__init__(maxsize: int = 0) → None[source]¶
Initialize the queue.
Parameters
maxsize (int) – 
Return type
None
async aclose(timeout: Optional[int] = None) → None[source]¶
Async send the hangup signal.
Parameters
timeout (Optional[int]) – 
Return type
None
async aput(item: Union[bytes, SentinelT], timeout: Optional[int] = None) → None[source]¶
Async put a new item into the queue.
Parameters
item (Union[bytes, SentinelT]) – 
timeout (Optional[int]) – 
Return type
None
close(timeout: Optional[int] = None) → None[source]¶
Send the hangup signal.
Parameters
timeout (Optional[int]) – 
Return type
None
Parameters
timeout (Optional[int]) – 
Return type
None
put(item: Union[bytes, SentinelT], timeout: Optional[int] = None) → None[source]¶
Put a new item into the queue.
Parameters
item (Union[bytes, SentinelT]) – 
timeout (Optional[int]) – 
Return type
None
register(responses: Iterator[rasr.StreamingRecognizeResponse]) → None[source]¶
Drain the responses from the provided iterator and put them into a queue.
Parameters
responses (Iterator[rasr.StreamingRecognizeResponse]) – 
Return type
None
Examples using AudioStream¶
NVIDIA Riva: ASR and TTS
langchain_community.utilities.clickup.fetch_list_id¶
langchain_community.utilities.clickup.fetch_list_id(space_id: int, folder_id: int, access_token: str) → Optional[int][source]¶
Fetch the list id.
Parameters
space_id (int) – 
folder_id (int) – 
access_token (str) – 
Return type
Optional[int]