langchain_community.utilities.metaphor_search
.MetaphorSearchAPIWrapperΒΆ
- class langchain_community.utilities.metaphor_search.MetaphorSearchAPIWrapper[source]ΒΆ
Bases:
BaseModel
Wrapper for Metaphor Search 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 k: int = 10ΒΆ
- param metaphor_api_key: str [Required]ΒΆ
- classmethod construct(_fields_set: Optional[SetStr] = None, **values: Any) Model ΒΆ
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 = βallowβ was set since it adds all passed values
- Parameters
_fields_set (Optional[SetStr]) β
values (Any) β
- Return type
Model
- copy(*, include: Optional[Union[AbstractSetIntStr, MappingIntStrAny]] = None, exclude: Optional[Union[AbstractSetIntStr, MappingIntStrAny]] = None, update: Optional[DictStrAny] = None, deep: bool = False) Model ΒΆ
Duplicate a model, optionally choose which fields to include, exclude and change.
- Parameters
include (Optional[Union[AbstractSetIntStr, MappingIntStrAny]]) β fields to include in new model
exclude (Optional[Union[AbstractSetIntStr, MappingIntStrAny]]) β fields to exclude from new model, as with values this takes precedence over include
update (Optional[DictStrAny]) β 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) β set to True to make a deep copy of the model
self (Model) β
- Returns
new model instance
- Return type
Model
- 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 ΒΆ
Generate a dictionary representation of the model, optionally specifying which fields to include or exclude.
- Parameters
include (Optional[Union[AbstractSetIntStr, MappingIntStrAny]]) β
exclude (Optional[Union[AbstractSetIntStr, MappingIntStrAny]]) β
by_alias (bool) β
skip_defaults (Optional[bool]) β
exclude_unset (bool) β
exclude_defaults (bool) β
exclude_none (bool) β
- Return type
DictStrAny
- classmethod from_orm(obj: Any) Model ΒΆ
- Parameters
obj (Any) β
- Return type
Model
- 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 ΒΆ
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]]) β
exclude (Optional[Union[AbstractSetIntStr, MappingIntStrAny]]) β
by_alias (bool) β
skip_defaults (Optional[bool]) β
exclude_unset (bool) β
exclude_defaults (bool) β
exclude_none (bool) β
encoder (Optional[Callable[[Any], Any]]) β
models_as_dict (bool) β
dumps_kwargs (Any) β
- 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 ΒΆ
- Parameters
path (Union[str, Path]) β
content_type (unicode) β
encoding (unicode) β
proto (Protocol) β
allow_pickle (bool) β
- Return type
Model
- classmethod parse_obj(obj: Any) Model ΒΆ
- Parameters
obj (Any) β
- 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 ΒΆ
- Parameters
b (Union[str, bytes]) β
content_type (unicode) β
encoding (unicode) β
proto (Protocol) β
allow_pickle (bool) β
- Return type
Model
- results(query: str, num_results: int, include_domains: Optional[List[str]] = None, exclude_domains: Optional[List[str]] = None, start_crawl_date: Optional[str] = None, end_crawl_date: Optional[str] = None, start_published_date: Optional[str] = None, end_published_date: Optional[str] = None, use_autoprompt: Optional[bool] = None) List[Dict] [source]ΒΆ
Run query through Metaphor Search and return metadata.
- Parameters
query (str) β The query to search for.
num_results (int) β The number of results to return.
include_domains (Optional[List[str]]) β A list of domains to include in the search. Only one of include_domains and exclude_domains should be defined.
exclude_domains (Optional[List[str]]) β A list of domains to exclude from the search. Only one of include_domains and exclude_domains should be defined.
start_crawl_date (Optional[str]) β If specified, only pages we crawled after start_crawl_date will be returned.
end_crawl_date (Optional[str]) β If specified, only pages we crawled before end_crawl_date will be returned.
start_published_date (Optional[str]) β If specified, only pages published after start_published_date will be returned.
end_published_date (Optional[str]) β If specified, only pages published before end_published_date will be returned.
use_autoprompt (Optional[bool]) β If true, we turn your query into a more Metaphor-friendly query. Adds latency.
- Returns
title - The title of the page url - The url author - Author of the content, if applicable. Otherwise, None. published_date - Estimated date published
in YYYY-MM-DD format. Otherwise, None.
- Return type
A list of dictionaries with the following keys
- async results_async(query: str, num_results: int, include_domains: Optional[List[str]] = None, exclude_domains: Optional[List[str]] = None, start_crawl_date: Optional[str] = None, end_crawl_date: Optional[str] = None, start_published_date: Optional[str] = None, end_published_date: Optional[str] = None, use_autoprompt: Optional[bool] = None) List[Dict] [source]ΒΆ
Get results from the Metaphor Search API asynchronously.
- Parameters
query (str) β
num_results (int) β
include_domains (Optional[List[str]]) β
exclude_domains (Optional[List[str]]) β
start_crawl_date (Optional[str]) β
end_crawl_date (Optional[str]) β
start_published_date (Optional[str]) β
end_published_date (Optional[str]) β
use_autoprompt (Optional[bool]) β
- Return type
List[Dict]
- classmethod schema(by_alias: bool = True, ref_template: unicode = '#/definitions/{model}') DictStrAny ΒΆ
- Parameters
by_alias (bool) β
ref_template (unicode) β
- Return type
DictStrAny
- classmethod schema_json(*, by_alias: bool = True, ref_template: unicode = '#/definitions/{model}', **dumps_kwargs: Any) unicode ΒΆ
- Parameters
by_alias (bool) β
ref_template (unicode) β
dumps_kwargs (Any) β
- Return type
unicode
- classmethod update_forward_refs(**localns: Any) None ΒΆ
Try to update ForwardRefs on fields based on this Model, globalns and localns.
- Parameters
localns (Any) β
- Return type
None
- classmethod validate(value: Any) Model ΒΆ
- Parameters
value (Any) β
- Return type
Model