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https://github.com/Unstructured-IO/unstructured.git
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d22044a44c
Currently adding the embedding flag to any unstructured-ingest call
results in this failure:
```
2023-10-11 22:42:14,177 MainProcess ERROR 'b8a98c5d963a9dd75847a8f110cbf7c9'
multiprocessing.pool.RemoteTraceback:
"""
Traceback (most recent call last):
File "/Users/ryannikolaidis/.pyenv/versions/3.10.11/lib/python3.10/multiprocessing/pool.py", line 125, in worker
result = (True, func(*args, **kwds))
File "/Users/ryannikolaidis/.pyenv/versions/3.10.11/lib/python3.10/multiprocessing/pool.py", line 48, in mapstar
return list(map(*args))
File "/Users/ryannikolaidis/Development/unstructured/unstructured/unstructured/ingest/pipeline/copy.py", line 14, in run
ingest_doc_json = self.pipeline_context.ingest_docs_map[doc_hash]
File "<string>", line 2, in __getitem__
File "/Users/ryannikolaidis/.pyenv/versions/3.10.11/lib/python3.10/multiprocessing/managers.py", line 833, in _callmethod
raise convert_to_error(kind, result)
KeyError: 'b8a98c5d963a9dd75847a8f110cbf7c9'
"""
```
This is because the run method for the embedding node is not adding the
IngestDoc to the context map. This PR adds that logic and adds a test to
validate that the embeddings option works as expected.
NOTE: until https://github.com/Unstructured-IO/unstructured/pull/1719
goes in, the expected results include the duplicate element bug, however
currently this does at least prove that embeddings are generated and the
function doesn't error.
37 lines
1.2 KiB
Bash
Executable File
37 lines
1.2 KiB
Bash
Executable File
#!/usr/bin/env bash
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set -e
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SCRIPT_DIR=$(dirname "$(realpath "$0")")
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cd "$SCRIPT_DIR"/.. || exit 1
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OUTPUT_FOLDER_NAME=embed
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OUTPUT_DIR=$SCRIPT_DIR/structured-output/$OUTPUT_FOLDER_NAME
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WORK_DIR=$SCRIPT_DIR/workdir/$OUTPUT_FOLDER_NAME
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max_processes=${MAX_PROCESSES:=$(python3 -c "import os; print(os.cpu_count())")}
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# shellcheck disable=SC1091
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source "$SCRIPT_DIR"/cleanup.sh
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function cleanup() {
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cleanup_dir "$OUTPUT_DIR"
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cleanup_dir "$WORK_DIR"
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}
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trap cleanup EXIT
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PYTHONPATH=. ./unstructured/ingest/main.py \
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local \
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--num-processes "$max_processes" \
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--metadata-exclude coordinates,filename,file_directory,metadata.data_source.date_processed,metadata.last_modified,metadata.detection_class_prob,metadata.parent_id,metadata.category_depth \
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--output-dir "$OUTPUT_DIR" \
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--verbose \
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--reprocess \
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--input-path example-docs/fake-text-utf-16.txt \
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--work-dir "$WORK_DIR" \
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--embedding-api-key "$OPENAI_API_KEY"
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set +e
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# currently openai encoder is non-deterministic
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# once we have an alternative encoder that is deterministic, we test the diff here
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# until then just validating the file was created
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"$SCRIPT_DIR"/check-num-files-output.sh 1 "$OUTPUT_FOLDER_NAME"
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