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توضیحات

This library manages the communication between python programs and elasticsearch database

ویژگی	مقدار
سیستم عامل	-
نام فایل	easierai-elasticsearchlib-1.3.8
نام	easierai-elasticsearchlib
نسخه کتابخانه	1.3.8
نگهدارنده	[]
ایمیل نگهدارنده	[]
نویسنده	IoE Lab
ایمیل نویسنده	juan.carrascoa@atos.net
آدرس صفحه اصلی	https://gitlab.atosresearch.eu/ari/ioe-ai/data-elasticsearch_python
آدرس اینترنتی	https://pypi.org/project/easierai-elasticsearchlib/
مجوز	ATOS

# Elastic search wrapper for Python This library allows access to a Elasticsearch from a Python program. https://pypi.org/project/elasticsearchlib/ ## Installation ### Command line This library can be installed with the following command: ``` pip3 install elasticsearchlib ``` ### Dockerfile You can add these lines in your Dockerfile to include this library in your image: ``` RUN pip3 install elasticsearchlib ``` ## Uploading to pip These steps are needed to distribute the library on Pip repository manager: ### Prerequisites First, these packages must be installed on your Python environment: * Setuptools * Wheel * Twine * Tqdm ``` sudo python -m pip install --upgrade pip setuptools wheel sudo python -m pip install tqdm sudo python -m pip install --user --upgrade twine ``` ### Customization On the _setup.py_ file, these fields can be customized: * **Version**: The current version of the build. ### Execution ``` python3 setup.py bdist_wheel ``` This command will generate a _.whl_ file inside the _dist_ folder of the root of the project. Then, execute the following command to upload this file to PyPi repository: ``` python3 -m twine upload dist/* ``` ## Usage This section will explain the usage of this library. ### Constructor ``` Elasticsearchlib() ``` ### start_connection This function creates the connection to the elasticsearch database, checking if the server is up. Returns True if the database answered correctly. ``` def start_connection(self, host, port, request_retries=3, total_retries=9): ``` - host: Base IP address for the elasticsearch database. - port: Port where the elasticsearch database is published. - request_retries: number of times a request will be retried before being dropped (defaults to 3). - total_retries: number of consecutive retries before dropping the connection and throwing an Exception (defaults to 9). ### create_index This function checks if an index is already created and, if not, creates it, according to the provided mapping. ``` def create_index(self, index, mapping=None): ``` - index: Name of the index to create. - mapping: Mapping provided as the template for this index. ### add_to index This function adds a document to the provided index. If the index does not exist, it will be created first. ``` def add_to_index(self, index, body, id=''): ``` - index: Index where the document will be added. - body: Body for the document. - id: Optional argument for the document id on the database. If not provided, a random one will be created. ### search_last_n_measures This functions allows for the retrieval of the last n measures of one dataset item. ``` def search_last_n_measures(self, index, id_dataset, n): ``` - index: Index to search in. - id_dataset: Dataset id to retrieve the measures. - n: Number of measures desired. ### scrolled_query This function returns all measures stored in an index, following a query. ``` def scrolled_query(self, query, index, filter_path=None): ``` - query: Query to use on the request. - index: Index on which to use the query. - filter_path: Filter that can be applied to the request. ### get_entities_ids This function returns all the entity ids stored under an index. ``` def get_entities_ids(self, index): ``` - index: Index on which to request the ids. ### get_last_document This function returns the last document stored under an index, for a specific device_id. ``` def get_last_document(self, index, device_id): ``` - index: Index on which to request the document. - device_id: Id of the device to query. ### get_data_history This function returns the data history for a specific device in a period of time. ``` def get_data_history(self, index, device_id, gte, lte='now'): ``` - index: Index on which to request the data. - device_id: Id of the device to query. - gte: Lower bound for the time period. - lte: Upper bound for the time period (defaults to now).

نیازمندی

مقدار	نام
==7.1.0	elasticsearch
-	pydash
-	certifi
-	requests

نحوه نصب

نصب پکیج whl easierai-elasticsearchlib-1.3.8:

pip install easierai-elasticsearchlib-1.3.8.whl

نصب پکیج tar.gz easierai-elasticsearchlib-1.3.8:

pip install easierai-elasticsearchlib-1.3.8.tar.gz