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unstructured-io--unstructured/scripts/elasticsearch-test-helpers/source_connector/create_and_fill_es.py
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wehub-resource-sync 461bf6fd40
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chore: import upstream snapshot with attribution
2026-07-13 13:33:56 +08:00

36 lines
1.1 KiB
Python
Executable File

#!/usr/bin/env python3
import pandas as pd
from elasticsearch import Elasticsearch
from elasticsearch.helpers import bulk
from es_cluster_config import (
CLUSTER_URL,
DATA_PATH,
INDEX_NAME,
MAPPINGS,
PASSWORD,
USER,
form_elasticsearch_doc_dict,
)
print("Connecting to the Elasticsearch cluster.")
es = Elasticsearch(CLUSTER_URL, basic_auth=(USER, PASSWORD), request_timeout=30)
print(f"{es.info()}")
df = pd.read_csv(DATA_PATH).dropna().reset_index()
print("Creating an Elasticsearch index for testing elasticsearch ingest.")
response = es.options(max_retries=5).indices.create(index=INDEX_NAME, mappings=MAPPINGS)
if response.meta.status != 200:
raise RuntimeError("failed to create index")
print("Loading data into the index.")
bulk_data = []
for i, row in df.iterrows():
bulk_data.append(form_elasticsearch_doc_dict(i, row))
bulk(es, bulk_data)
es.indices.refresh(index=INDEX_NAME)
response = es.cat.count(index=INDEX_NAME, format="json")
print("Successfully created and filled an Elasticsearch index for testing elasticsearch ingest.")