testing: Weaviate impl

[emekaokoli19]

/claim #74

@dhruv-anand-aintech Please take a look

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Summary:

Enhances Weaviate export and import functionalities with support for multiple connection types, batch processing, and integration of OpenAI API key, with import functionality needing completion.

Key points:

• Added support for local and cloud connections in ExportWeaviate and ImportWeaviate.
• Integrated OpenAI API key handling in Weaviate connections.
• Implemented batch processing for exporting data to Parquet files in ExportWeaviate.
• Prepared structure for importing data from Parquet files in ImportWeaviate, but actual data upsert code is commented out.
• Environment variables are used for connection details, and progress is visualized using tqdm.

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[ellipsis-dev]

❌ Changes requested.

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[ellipsis-dev]

The method add_arguments is incorrect and will cause a runtime error as it does not exist in argparse. It should be add_argument.

Suggested change

	parser_weaviate.add_arguments(
	parser_weaviate.add_argument(

[ellipsis-dev]

The connection_type argument is used here but it is not defined in the argument parser for the import script. This will cause an error when trying to access self.args["connection_type"].

To fix this, add the connection_type argument to the parser in the make_parser method:

Suggested change

	def __init__(self, args):
	parser_weaviate.add_argument(
	"--connection-type", type=str, choices=["local", "cloud"], default="cloud",
	help="Type of connection to Weaviate (local or cloud)"
	)

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[dhruv-anand-aintech]

@emekaokoli19 did you test the newest version of the code with a weaviate instance?

[emekaokoli19]

@emekaokoli19 did you test the newest version of the code with a weaviate instance?

@dhruv-anand-aintech I am sorry for the late reply, I was out for a few days but I am back now. Yes the code was tested with a weaviate instance and it works

[dhruv-anand-aintech]

@emekaokoli19 you need to make sure that it works for any import command.
eg:

import_vdf \
	--max_num_rows 1000 \
	--hf_dataset aintech/vdf_prefix-cache \
    weaviate

Here it asks me for index name, which it should be using the name from the VDF_META.json file (see other DBs' implementation).

It also fails because openai_api_key is not set. This is not a required API key for importing datasets. You need to make sure the code works without it being set (using .get("openai_api_key", "") syntax.

Let's have a pair programming session to finish off this task. Please message me on discord to set a time