Tony20100/langchain_full huggingface dataset:
langchain_community.utilities.you.YouHitMetadata¶
class langchain_community.utilities.you.YouHitMetadata[source]¶
Bases: BaseModel
Metadata on a single hit from you.com
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 description: str [Required]¶
Details about the result
param thumbnail_url: str [Required]¶
Thumbnail associated with the result
param title: str [Required]¶
The title of the result
param url: str [Required]¶
The url of the result
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
langchain_community.utilities.max_compute.MaxComputeAPIWrapper¶
class langchain_community.utilities.max_compute.MaxComputeAPIWrapper(client: ODPS)[source]¶
Interface for querying Alibaba Cloud MaxCompute tables.
Initialize MaxCompute document loader.
Parameters
client (ODPS) – odps.ODPS MaxCompute client object.
Methods
__init__(client)
Initialize MaxCompute document loader.
from_params(endpoint, project, *[, ...])
Convenience constructor that builds the odsp.ODPS MaxCompute client from
lazy_query(query)
query(query)
__init__(client: ODPS)[source]¶
Initialize MaxCompute document loader.
Parameters
client (ODPS) – odps.ODPS MaxCompute client object.
classmethod from_params(endpoint: str, project: str, *, access_id: Optional[str] = None, secret_access_key: Optional[str] = None) → MaxComputeAPIWrapper[source]¶
Convenience constructor that builds the odsp.ODPS MaxCompute client fromgiven parameters.
Parameters
endpoint (str) – MaxCompute endpoint.
project (str) – A project is a basic organizational unit of MaxCompute, which is
similar to a database.
access_id (Optional[str]) – MaxCompute access ID. Should be passed in directly or set as the
environment variable MAX_COMPUTE_ACCESS_ID.
secret_access_key (Optional[str]) – MaxCompute secret access key. Should be passed in
directly or set as the environment variable
MAX_COMPUTE_SECRET_ACCESS_KEY.
Return type
MaxComputeAPIWrapper
lazy_query(query: str) → Iterator[dict][source]¶
Parameters
query (str) – 
Return type
Iterator[dict]
query(query: str) → List[dict][source]¶
Parameters
query (str) – 
Return type
List[dict]
langchain_community.utilities.merriam_webster.MerriamWebsterAPIWrapper¶
class langchain_community.utilities.merriam_webster.MerriamWebsterAPIWrapper[source]¶
Bases: BaseModel
Wrapper for Merriam-Webster.
Docs for using:
Go to https://www.dictionaryapi.com/register/index and register an
developer account with a key for the Collegiate Dictionary
Get your API Key from https://www.dictionaryapi.com/account/my-keys
Save your API Key into MERRIAM_WEBSTER_API_KEY env variable
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 merriam_webster_api_key: Optional[str] = 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
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
run(query: str) → str[source]¶
Run query through Merriam-Webster API and return a formatted result.
Parameters
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
classmethod validate(value: Any) → Model¶
Parameters
value (Any) – 
Return type
Model
langchain_community.utilities.clickup.Member¶
class langchain_community.utilities.clickup.Member(id: int, username: str, email: str, initials: str)[source]¶
Component class for a member.
Attributes
id
username
email
initials
Methods
__init__(id, username, email, initials)
from_data(data)
Parameters
id (int) – 
username (str) – 
email (str) – 
initials (str) – 
__init__(id: int, username: str, email: str, initials: str) → None¶
Parameters
id (int) – 
username (str) – 
email (str) – 
initials (str) – 
Return type
None
classmethod from_data(data: Dict) → Member[source]¶
Parameters
data (Dict) – 
Return type
Member
langchain_community.utilities.vertexai.create_retry_decorator¶
langchain_community.utilities.vertexai.create_retry_decorator(llm: BaseLLM, *, max_retries: int = 1, run_manager: Optional[Union[AsyncCallbackManagerForLLMRun, CallbackManagerForLLMRun]] = None) → Callable[[Any], Any][source]¶
Create a retry decorator for Vertex / Palm LLMs.
Parameters
llm (BaseLLM) – 
max_retries (int) – 
run_manager (Optional[Union[AsyncCallbackManagerForLLMRun, CallbackManagerForLLMRun]]) – 
Return type
Callable[[Any], Any]
langchain_community.utilities.you.YouDocument¶
class langchain_community.utilities.you.YouDocument[source]¶
Bases: BaseModel
Output of parsing one snippet.
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 metadata: YouHitMetadata [Required]¶
param page_content: str [Required]¶
One snippet of text
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
langchain_community.utilities.arcee.ArceeDocumentAdapter¶
class langchain_community.utilities.arcee.ArceeDocumentAdapter[source]¶
Adapter for Arcee documents
Methods
__init__()
adapt(arcee_document)
Adapts an ArceeDocument to a langchain's Document object.
__init__()¶
classmethod adapt(arcee_document: ArceeDocument) → Document[source]¶
Adapts an ArceeDocument to a langchain’s Document object.
Parameters
arcee_document (ArceeDocument) – 
Return type
Document
langchain_community.utilities.semanticscholar.SemanticScholarAPIWrapper¶
class langchain_community.utilities.semanticscholar.SemanticScholarAPIWrapper[source]¶
Bases: BaseModel
Wrapper around semanticscholar.org API.
https://github.com/danielnsilva/semanticscholar
You should have this library installed.
pip install semanticscholar
Semantic Scholar API can conduct searches and fetch document metadata
like title, abstract, authors, etc.
Attributes:
top_k_results: number of the top-scored document used for the Semantic Scholar tool
load_max_docs: a limit to the number of loaded documents
Example:
.. code-block:: python
from langchain_community.utilities.semanticscholar import SemanticScholarAPIWrapper
ss = SemanticScholarAPIWrapper(
top_k_results = 3,
load_max_docs = 3
)
ss.run(“biases in large language models”)
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 S2_MAX_QUERY_LENGTH: int = 300¶
param doc_content_chars_max: Optional[int] = 4000¶
param load_max_docs: int = 100¶
param top_k_results: int = 5¶
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
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
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
run(query: str) → str[source]¶
Run the Semantic Scholar API.
Parameters
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
classmethod validate(value: Any) → Model¶
Parameters
value (Any) – 
Return type
Model
langchain_community.utilities.wikipedia.WikipediaAPIWrapper¶
class langchain_community.utilities.wikipedia.WikipediaAPIWrapper[source]¶
Bases: BaseModel
Wrapper around WikipediaAPI.
To use, you should have the wikipedia python package installed.
This wrapper will use the Wikipedia API to conduct searches and
fetch page summaries. By default, it will return the page summaries
of the top-k results.
It limits the Document content by doc_content_chars_max.
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 doc_content_chars_max: int = 4000¶
param lang: str = 'en'¶
param load_all_available_meta: bool = False¶
param top_k_results: int = 3¶
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
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
lazy_load(query: str) → Iterator[Document][source]¶
Run Wikipedia search and get the article text plus the meta information.
See
Returns: a list of documents.
Parameters
query (str) – 
Return type
Iterator[Document]
load(query: str) → List[Document][source]¶
Run Wikipedia search and get the article text plus the meta information.
See
Returns: a list of documents.
Parameters
query (str) – 
Return type
List[Document]
Parameters
query (str) – 
Return type
List[Document]
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
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
run(query: str) → str[source]¶
Run Wikipedia search and get page summaries.
Parameters
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¶
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 WikipediaAPIWrapper¶
How to use built-in tools and toolkits
Wikipedia
Zep Cloud Memory
Zep Open Source Memory
langchain_community.utilities.openapi.HTTPVerb¶
class langchain_community.utilities.openapi.HTTPVerb(value)[source]¶
Enumerator of the HTTP verbs.
GET = 'get'¶
PUT = 'put'¶
POST = 'post'¶
DELETE = 'delete'¶
OPTIONS = 'options'¶
HEAD = 'head'¶
PATCH = 'patch'¶
TRACE = 'trace'¶
langchain_community.utilities.google_search.GoogleSearchAPIWrapper¶
class langchain_community.utilities.google_search.GoogleSearchAPIWrapper[source]¶
Bases: BaseModel
[Deprecated] Wrapper for Google Search API.
Adapted from: Instructions adapted from https://stackoverflow.com/questions/
37083058/
programmatically-searching-google-in-python-using-custom-search
TODO: DOCS for using it
1. Install google-api-python-client
- If you don’t already have a Google account, sign up.
- If you have never created a Google APIs Console project,
read the Managing Projects page and create a project in the Google API Console.
- Install the library using pip install google-api-python-client
2. Enable the Custom Search API
- Navigate to the APIs & Services→Dashboard panel in Cloud Console.
- Click Enable APIs and Services.
- Search for Custom Search API and click on it.
- Click Enable.
URL for it: https://console.cloud.google.com/apis/library/customsearch.googleapis
.com
3. To create an API key:
- Navigate to the APIs & Services → Credentials panel in Cloud Console.
- Select Create credentials, then select API key from the drop-down menu.
- The API key created dialog box displays your newly created key.
- You now have an API_KEY
Alternatively, you can just generate an API key here:
https://developers.google.com/custom-search/docs/paid_element#api_key
4. Setup Custom Search Engine so you can search the entire web
- Create a custom search engine here: https://programmablesearchengine.google.com/.
- In What to search to search, pick the Search the entire Web option.
After search engine is created, you can click on it and find Search engine ID
on the Overview page.
Notes
Deprecated since version 0.0.33.
on the Overview page.
Notes
Deprecated since version 0.0.33.
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 google_api_key: Optional[str] = None¶
param google_cse_id: Optional[str] = None¶
param k: int = 10¶
param siterestrict: bool = False¶
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
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
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
results(query: str, num_results: int, search_params: Optional[Dict[str, str]] = None) → List[Dict][source]¶
Run query through GoogleSearch and return metadata.
Parameters
query (str) – The query to search for.
num_results (int) – The number of results to return.
num_results (int) – The number of results to return.
search_params (Optional[Dict[str, str]]) – Parameters to be passed on search
Returns
snippet - The description of the result.
title - The title of the result.
link - The link to the result.
Return type
A list of dictionaries with the following keys
run(query: str) → str[source]¶
Run query through GoogleSearch and parse result.
Parameters
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
classmethod validate(value: Any) → Model¶
Parameters
value (Any) – 
Return type
Model
Examples using GoogleSearchAPIWrapper¶
Bittensor
Google Search
langchain_community.utilities.cassandra_database.CassandraDatabase¶
class langchain_community.utilities.cassandra_database.CassandraDatabase(session: Optional[Session] = None, exclude_tables: Optional[List[str]] = None, include_tables: Optional[List[str]] = None, cassio_init_kwargs: Optional[Dict[str, Any]] = None)[source]¶
Apache Cassandra® database wrapper.
Methods
__init__([session, exclude_tables, ...])
fetch_all(query, **kwargs)
fetch_one(query, **kwargs)
format_keyspace_to_markdown(keyspace[, tables])
Generates a markdown representation of the schema for a specific keyspace by iterating over all tables within that keyspace and calling their as_markdown method.
format_schema_to_markdown()
Generates a markdown representation of the schema for all keyspaces and tables within the CassandraDatabase instance.
get_context()
Return db context that you may want in agent prompt.
get_keyspace_tables(keyspace)
Get the Table objects for the specified keyspace.
get_table_data(keyspace, table, predicate, limit)
Get data from the specified table in the specified keyspace.
run(query[, fetch])
Execute a CQL query and return the results.
Parameters
session (Optional[Session]) – 
exclude_tables (Optional[List[str]]) – 
include_tables (Optional[List[str]]) – 
cassio_init_kwargs (Optional[Dict[str, Any]]) – 
__init__(session: Optional[Session] = None, exclude_tables: Optional[List[str]] = None, include_tables: Optional[List[str]] = None, cassio_init_kwargs: Optional[Dict[str, Any]] = None)[source]¶
Parameters
session (Optional[Session]) – 
exclude_tables (Optional[List[str]]) – 
include_tables (Optional[List[str]]) –