unstructured/scripts/opensearch-test-helpers/destination_connector/opensearch_cluster_config.py

import json

CLUSTER_URL = "http://localhost:9247"
INDEX_NAME = "ingest-test-destination"
USER = "admin"
PASSWORD = "admin"
MAPPING_PATH = (
    "scripts/opensearch-test-helpers/destination_connector/opensearch_elements_mappings.json"
)

with open(MAPPING_PATH) as f:
    mappings = json.load(f)
feat: add opensearch source and destination connector (#2349) Adds OpenSearch as a source and destination. Since OpenSearch is a fork of Elasticsearch, these connectors rely heavily on inheriting the Elasticsearch connectors whenever possible. - Adds OpenSearch source connector to be able to ingest documents from OpenSearch. - Adds OpenSearch destination connector to be able to ingest documents from any supported source, embed them and write the embeddings / documents into OpenSearch. - Defines an example unstructured elements schema for users to be able to setup their unstructured OpenSearch indexes easily. --------- Co-authored-by: potter-potter <david.potter@gmail.com> 2024-01-16 20:31:49 -08:00			`import json`

fix: change opensearch port (#2517) change opensearch port to see if fixes CI. We think there may be a conflict with the elasticsearch docker port. Also adding simple retry to vector query. --------- Co-authored-by: potter-potter <david.potter@gmail.com> 2024-02-07 13:25:04 -08:00			`CLUSTER_URL = "http://localhost:9247"`
feat: add opensearch source and destination connector (#2349) Adds OpenSearch as a source and destination. Since OpenSearch is a fork of Elasticsearch, these connectors rely heavily on inheriting the Elasticsearch connectors whenever possible. - Adds OpenSearch source connector to be able to ingest documents from OpenSearch. - Adds OpenSearch destination connector to be able to ingest documents from any supported source, embed them and write the embeddings / documents into OpenSearch. - Defines an example unstructured elements schema for users to be able to setup their unstructured OpenSearch indexes easily. --------- Co-authored-by: potter-potter <david.potter@gmail.com> 2024-01-16 20:31:49 -08:00			`INDEX_NAME = "ingest-test-destination"`
			`USER = "admin"`
			`PASSWORD = "admin"`
feat: refactor ingest (#3009) ### Description This refactors the current ingest CLI process to support better granularity in how the steps are ran * Both multiprocessing and async now supported. Given that a lot of the steps are IO-bound, such as downloading and uploading content, we can achieve better parallelization by using async here * Destination step broken up into a stager step and an upload step. This will allow for steps that require manipulation of the data between formats, such as converting the elements json into a csv format to upload for tabular destinations, to be pulled out of the step that does the actual upload. * The process of writing the content to a local destination was now pulled out as it's own dedicated destination connector, meaning you no longer need to persist the content locally once the process is done if the content was uploaded elsewhere. * Quick update to the chunker/partition step to use the python client. * Move the uncompress suppport as a pipeline step since this can arbitrarily apply to any concrete files that have been downloaded, regardless of where they came from. * Leverage last modified date to mark files to be reprocessed, even if the file already exists locally. ### Callouts Retry configs haven't been moved over yet. This is an open question because the intent was for it to wrap potential connection errors but now any of the other steps that leverage an API might run into network connection issues. Should those be isolated in each of the steps and wrapped with the same retry configs? Or do we need to expose a unique retry config for each step? This would bloat the input params even more. ### Testing * If you want to run the new code as an SDK, there's an example file that was added to highlight how to do that: [example.py](https://github.com/Unstructured-IO/unstructured/blob/roman/refactor-ingest/unstructured/ingest/v2/example.py) * If you want to run the new code as an isolated CLI: ```shell PYTHONPATH=. python unstructured/ingest/v2/main.py --help ``` * If you want to see which commands have been migrated to the new version, there's now a `v2` short help text next to those commands when running the current cli: ```shell PYTHONPATH=. python unstructured/ingest/main.py --help Usage: main.py [OPTIONS] COMMAND [ARGS]...main.py --help Options: --help Show this message and exit. Commands: airtable azure biomed box confluence delta-table discord dropbox elasticsearch fsspec gcs github gitlab google-drive hubspot jira local v2 mongodb notion onedrive opensearch outlook reddit s3 v2 salesforce sftp sharepoint slack wikipedia ``` You can run any of the local or s3 specific ingest tests and these should now work. --------- Co-authored-by: ryannikolaidis <1208590+ryannikolaidis@users.noreply.github.com> Co-authored-by: rbiseck3 <rbiseck3@users.noreply.github.com> 2024-05-21 13:01:49 -04:00			`MAPPING_PATH = (`
			`"scripts/opensearch-test-helpers/destination_connector/opensearch_elements_mappings.json"`
			`)`
feat: add opensearch source and destination connector (#2349) Adds OpenSearch as a source and destination. Since OpenSearch is a fork of Elasticsearch, these connectors rely heavily on inheriting the Elasticsearch connectors whenever possible. - Adds OpenSearch source connector to be able to ingest documents from OpenSearch. - Adds OpenSearch destination connector to be able to ingest documents from any supported source, embed them and write the embeddings / documents into OpenSearch. - Defines an example unstructured elements schema for users to be able to setup their unstructured OpenSearch indexes easily. --------- Co-authored-by: potter-potter <david.potter@gmail.com> 2024-01-16 20:31:49 -08:00
			`with open(MAPPING_PATH) as f:`
			`mappings = json.load(f)`