Metadata-Version: 2.1
Name: nevermined-metadata-driver-elasticsearch
Version: 0.1.5
Summary: 🐳 Metadata ElasticSearch Driver (Python).
Home-page: https://github.com/nevermined-io/metadata-driver-elasticsearch
Author: nevermined-io
Author-email: root@nevermined.io
License: Apache Software License 2.0
Keywords: nevermined-metadata-driver-elasticsearch
Platform: UNKNOWN
Classifier: Development Status :: 2 - Pre-Alpha
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Description-Content-Type: text/markdown
Requires-Dist: nevermined-metadata-driver-interface
Requires-Dist: elasticsearch (~=7.13.1)
Provides-Extra: dev
Requires-Dist: pytest ; extra == 'dev'
Provides-Extra: test
Requires-Dist: pytest ; extra == 'test'

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# metadata-driver-elasticsearch

>    🐳  [Elasticsearch](https://www.elastic.co/) driver for MetadataDB (Python).
> [nevermined.io](https://nevermined.io)

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---

## Table of Contents

  - [Features](#features)
  - [Prerequisites](#prerequisites)
  - [Quickstart](#quickstart)
  - [Environment variables](#environment-variables)
  - [Queries](#queries)

---

## Features

Elasticsearch driver to connect implementing MetadataDB.

## Prerequisites

You should have running a elasticsearch instance.

## Quickstart

First of all we have to specify where is allocated our config.
To do that we have to pass the following argument:

```
--config=/path/of/my/config
```

If you do not provide a configuration path, by default the config is expected in the config folder.

In the configuration we are going to specify the following parameters to

```yaml
    [metadatadb]

    enabled=true            # In order to enable or not the plugin
    module=elasticsearch    # You can use one the plugins already created. Currently we have elasticsearch, mongodb and bigchaindb.
    module.path=            # You can specify the location of your custom plugin.
    db.hostname=localhost   # Address of your Elasticsearch instance.
    db.port=9200            # Port of your Elasticsearch rest API.
    db.username=elastic     # If you are using authentication, elasticsearch username.
    db.password=changeme    # If you are using authentication, elasticsearch password.
    db.index=metadatadb     # Elasticsearch index name
```

Once you have defined this the only thing that you have to do it is use it:

```python

    metadatadb = MetadataDB(conf)
    metadatadb.write({"value": "test"}, id)

```

## Environment variables

When you want to instantiate an Metadatadb plugin you can provide the next environment variables:

- **$CONFIG_PATH**
- **$MODULE**
- **$DB_HOSTNAME**
- **$DB_PORT**
- **$DB_INDEX**
- **$DB_USERNAME**
- **$DB_PASSWORD**


## Queries

Currently we are supporting a list of queries predefined in order to improve the search:
All this queries present a common format: 
```query:{"name":[args]}```

This queries are the following:
- price

    Could receive one or two parameters. If you only pass one assumes that your query is going to start from 0 to your value.

    Next query:
    `query:{"price":[0,10]}`

    It is transformed to:
    `{"service.metadata.base.price":{"$gt": 0, "$lt": 10}}`

- license

    It is going to retrieve all the documents with license that you are passing in the parameters, 
    if you do not pass any value retrieve all.

    `{"license":["Public domain", "CC-YB"]}`

- type

    It is going to check that the following service types are included in the ddo.

    `{"type":["Access", "Metadata"]}`

- sample

    Check that the metadata include a sample that contains a link of type sample. Do not take parameters.

    `{"sample":[]}`

- categories

    Retrieve all the values that contain one of the specifies categories.

    `{"categories":["weather", "meteorology"]}`

- created

    Retrieve all the values that has been created between two dates. 

    `{"created":['2016-02-07T16:02:20Z', '2016-02-09T16:02:20Z']}`

- dateCreated

    Retrieve all the values that has been created between two dates. 

    `{"dateCreated":['2016-02-07T16:02:20Z', '2016-02-09T16:02:20Z']}`

- datePublished

    Retrieve all the values that has been published between two dates. 

    `{"datePublished":['2016-02-07T16:02:20Z', '2016-02-09T16:02:20Z']}`

- updatedFrequency

    Retrieve all the values that contain one of the specifies updated frecuencies.

    `{"updatedFrequency":["monthly"]}`

- text
    Retrieve all the values that match with the text sent.

    `{"text":["weather"]}`

- did
    Retrieve all the matching dids.

    `{"did":["did:nv:1..,did:nv:2.."]}`


## Testing

Automatic tests are setup via Github actions.
Our test use pytest framework.

## New Version

The `bumpversion.sh` script helps to bump the project version. You can execute the script using as first argument {major|minor|patch} to bump accordingly the version.

## License

```
Copyright 2020 Keyko GmbH
This product includes software developed at
BigchainDB GmbH and Ocean Protocol (https://www.oceanprotocol.com/)

Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at

   http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
```

