MongoDB
Batch process all your records using unstructured-ingest
to store structured outputs locally on your filesystem and upload those local files to an MongoDB collection.
First you’ll need to install the MongoDB dependencies as shown here.
pip install "unstructured[mongodb]"
Run Locally
The upstream connector can be any of the ones supported, but for convenience here, showing a sample command using the upstream local connector.
#!/usr/bin/env bash
unstructured-ingest \
mongodb \
--metadata-exclude filename,file_directory,metadata.data_source.date_processed \
--uri "<MongoDB uri>" \
--database "<MongoDB Database Name>" \
--collection "<MongoDB Collection name>" \
--output-dir mongodb-ingest-output \
--num-processes 2
import os
from unstructured.ingest.connector.mongodb import (
SimpleMongoDBConfig,
)
from unstructured.ingest.interfaces import PartitionConfig, ProcessorConfig, ReadConfig
from unstructured.ingest.runner import MongoDBRunner
if __name__ == "__main__":
runner = MongoDBRunner(
processor_config=ProcessorConfig(
verbose=True,
output_dir="mongodb-ingest-output",
num_processes=2,
),
read_config=ReadConfig(),
partition_config=PartitionConfig(
metadata_exclude=["filename", "file_directory", "metadata.data_source.date_processed"],
),
connector_config=SimpleMongoDBConfig(
uri=os.getenv("MONGODB_URI"),
database=os.getenv("MONGODB_DATABASE_NAME"),
collection=os.getenv("DESTINATION_MONGO_COLLECTION"),
),
)
runner.run()
For a full list of the options the CLI accepts check unstructured-ingest <upstream connector> mongodb --help
.
NOTE: Keep in mind that you will need to have all the appropriate extras and dependencies for the file types of the documents contained in your data storage platform if you’re running this locally. You can find more information about this in the installation guide.