This library manages the communication between python programs and elasticsearch database
# Elastic search wrapper for Python
This library allows access to a Elasticsearch from a Python program.
### 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:
First, these packages must be installed on your Python environment:
` sudo python -m pip install --upgrade pip setuptools wheel sudo python -m pip install tqdm sudo python -m pip install --user --upgrade twine `
On the _setup.py_ file, these fields can be customized:
- Version: The current version of the build.
` 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).
Release history Release notifications
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
|Filename, size||File type||Python version||Upload date||Hashes|
|Filename, size easierai_elasticsearchlib-1.1.7-py3-none-any.whl (7.5 kB)||File type Wheel||Python version py3||Upload date||Hashes View hashes|
|Filename, size easierai_elasticsearchlib-1.1.7.tar.gz (6.8 kB)||File type Source||Python version None||Upload date||Hashes View hashes|
Hashes for easierai_elasticsearchlib-1.1.7-py3-none-any.whl
Hashes for easierai_elasticsearchlib-1.1.7.tar.gz