Add Elasticseach sample publisher (#23)

example/scripts/sample_data_loader.py

@@ -3,20 +3,31 @@ This is a example script which demo how to load data into neo4j without using Ai
 """
 
 import csv
+from elasticsearch import Elasticsearch
 import logging
 from pyhocon import ConfigFactory
 import sqlite3
 from sqlalchemy.ext.declarative import declarative_base
 import textwrap
+import uuid
 
+from databuilder.extractor.neo4j_search_data_extractor import Neo4jSearchDataExtractor
 from databuilder.extractor.sql_alchemy_extractor import SQLAlchemyExtractor
 from databuilder.job.job import DefaultJob
 from databuilder.loader.file_system_neo4j_csv_loader import FsNeo4jCSVLoader
+from databuilder.loader.file_system_elasticsearch_json_loader import FSElasticsearchJSONLoader
 from databuilder.publisher import neo4j_csv_publisher
+from databuilder.extractor.neo4j_extractor import Neo4jExtractor
 from databuilder.publisher.neo4j_csv_publisher import Neo4jCsvPublisher
+from databuilder.publisher.elasticsearch_publisher import ElasticsearchPublisher
 from databuilder.task.task import DefaultTask
 from databuilder.transformer.base_transformer import NoopTransformer
+from databuilder.transformer.elasticsearch_document_transformer import ElasticsearchDocumentTransformer
 
+# change to the address of Elasticsearh service
+es = Elasticsearch([
+    {'host': '0.0.0.0'},
+])
 
 DB_FILE = '/tmp/test.db'
 SQLITE_CONN_STRING = 'sqlite:////tmp/test.db'
@@ -147,6 +158,54 @@ def create_sample_job(table_name, model_name):
     return job
 
 
+def create_es_publisher_sample_job():
+
+    # loader save data to this location and publisher read if from here
+    extracted_search_data_path = '/var/tmp/amundsen/search_data.json'
+
+    task = DefaultTask(loader=FSElasticsearchJSONLoader(),
+                       extractor=Neo4jSearchDataExtractor(),
+                       transformer=ElasticsearchDocumentTransformer())
+
+    # elastic search client instance
+    elasticsearch_client = es
+    # unique name of new index in Elasticsearch
+    elasticsearch_new_index_key = 'tables' + str(uuid.uuid4())
+    # related to mapping type from /databuilder/publisher/elasticsearch_publisher.py#L38
+    elasticsearch_new_index_key_type = 'table'
+    # alias for Elasticsearch used in amundsensearchlibrary/search_service/config.py as an index
+    elasticsearch_index_alias = 'tables_alias'
+
+    job_config = ConfigFactory.from_dict({
+        'extractor.search_data.extractor.neo4j.{}'.format(Neo4jExtractor.GRAPH_URL_CONFIG_KEY): neo4j_endpoint,
+        'extractor.search_data.extractor.neo4j.{}'.format(Neo4jExtractor.MODEL_CLASS_CONFIG_KEY):
+            'databuilder.models.neo4j_data.Neo4jDataResult',
+        'extractor.search_data.extractor.neo4j.{}'.format(Neo4jExtractor.NEO4J_AUTH_USER): neo4j_user,
+        'extractor.search_data.extractor.neo4j.{}'.format(Neo4jExtractor.NEO4J_AUTH_PW): neo4j_password,
+        'loader.filesystem.elasticsearch.{}'.format(FSElasticsearchJSONLoader.FILE_PATH_CONFIG_KEY):
+            extracted_search_data_path,
+        'loader.filesystem.elasticsearch.{}'.format(FSElasticsearchJSONLoader.FILE_MODE_CONFIG_KEY): 'w',
+        'transformer.elasticsearch.{}'.format(ElasticsearchDocumentTransformer.ELASTICSEARCH_INDEX_CONFIG_KEY):
+            elasticsearch_new_index_key,
+        'transformer.elasticsearch.{}'.format(ElasticsearchDocumentTransformer.ELASTICSEARCH_DOC_CONFIG_KEY):
+            elasticsearch_new_index_key_type,
+        'publisher.elasticsearch.{}'.format(ElasticsearchPublisher.FILE_PATH_CONFIG_KEY):
+            extracted_search_data_path,
+        'publisher.elasticsearch.{}'.format(ElasticsearchPublisher.FILE_MODE_CONFIG_KEY): 'r',
+        'publisher.elasticsearch.{}'.format(ElasticsearchPublisher.ELASTICSEARCH_CLIENT_CONFIG_KEY):
+            elasticsearch_client,
+        'publisher.elasticsearch.{}'.format(ElasticsearchPublisher.ELASTICSEARCH_NEW_INDEX_CONFIG_KEY):
+            elasticsearch_new_index_key,
+        'publisher.elasticsearch.{}'.format(ElasticsearchPublisher.ELASTICSEARCH_ALIAS_CONFIG_KEY):
+            elasticsearch_index_alias
+    })
+
+    job = DefaultJob(conf=job_config,
+                     task=task,
+                     publisher=ElasticsearchPublisher())
+    return job
+
+
 if __name__ == "__main__":
     load_table_data_from_csv('sample_table.csv')
     load_col_data_from_csv('sample_col.csv')
@@ -160,3 +219,7 @@ if __name__ == "__main__":
         job2 = create_sample_job('test_col_metadata',
                                  'example.models.test_column_model.TestColumnMetadata')
         job2.launch()
+
+        # start Elasticsearch publish job
+        job3 = create_es_publisher_sample_job()
+        job3.launch()