This is the Control Plane and Data Plane API clients for MeMaS (Memory Management Service). See https://github.com/memas-ai/MeMaS for more details.
This Python package is automatically generated by the OpenAPI Generator project:
- API version: 0.1.1
- Package version: 0.1.3
- Build package: org.openapitools.codegen.languages.PythonClientCodegen
Python >=3.7
If the python package is hosted on a repository, you can install directly using:
pip install git+https://github.com/memas-ai/MeMaS-python-sdk.git(you may need to run pip with root permission: sudo pip install git+https://github.com/memas-ai/MeMaS-python-sdk.git)
Then import the package:
import memas_sdkInstall via Setuptools.
python setup.py install --user(or sudo python setup.py install to install the package for all users)
Then import the package:
import memas_sdkPlease follow the installation procedure and then run the following:
import time
import memas_sdk
from pprint import pprint
from memas_sdk.apis.tags import cp_api
from memas_sdk.model.corpus_type import CorpusType
from memas_sdk.model.namespace_does_not_exist_error import NamespaceDoesNotExistError
from memas_sdk.model.namespace_exist_error import NamespaceExistError
from memas_sdk.model.namespace_illegal_name_error import NamespaceIllegalNameError
# Defining the host is optional and defaults to http://localhost
# See configuration.py for a list of all supported configuration parameters.
configuration = memas_sdk.Configuration(
    host = "http://localhost"
)
# Enter a context with an instance of the API client
with memas_sdk.ApiClient(configuration) as api_client:
    # Create an instance of the API class
    api_instance = cp_api.CpApi(api_client)
    any_type = dict(
        namespace_pathname="memas.chatbot.persona1",
        corpus_pathname="memas:wikipedia",
        corpus_type=CorpusType("knowledge"),
    ) # anyType | 
    try:
        # Create corpus
        api_response = api_instance.create_corpus(any_type)
        pprint(api_response)
    except memas_sdk.ApiException as e:
        print("Exception when calling CpApi->create_corpus: %s\n" % e)All URIs are relative to http://localhost
| Class | Method | HTTP request | Description | 
|---|---|---|---|
| CpApi | create_corpus | post /cp/corpus | Create corpus | 
| CpApi | create_user | post /cp/user | Create user | 
| CpApi | delete_corpus | delete /cp/corpus | Delete corpus | 
| CpApi | delete_user | delete /cp/user | Delete user | 
| DpApi | memorize | post /dp/memorize | Memorize information | 
| DpApi | recall | get /dp/recall | Recalls information | 
- Citation
- CitedDocument
- CorpusPathname
- CorpusType
- NamespaceDoesNotExistError
- NamespaceExistError
- NamespaceIllegalNameError
- NamespacePathname
Endpoints do not require authorization.
If the OpenAPI document is large, imports in memas_sdk.apis and memas_sdk.models may fail with a RecursionError indicating the maximum recursion limit has been exceeded. In that case, there are a couple of solutions:
Solution 1: Use specific imports for apis and models like:
- from memas_sdk.apis.default_api import DefaultApi
- from memas_sdk.model.pet import Pet
Solution 1: Before importing the package, adjust the maximum recursion limit as shown below:
import sys
sys.setrecursionlimit(1500)
import memas_sdk
from memas_sdk.apis import *
from memas_sdk.models import *