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Thanks to Ofer at Vectara, we now have a Vectara destination connector. - There are no dependencies since it is all REST calls to API - --------- Co-authored-by: potter-potter <david.potter@gmail.com>
51 lines
1.7 KiB
Bash
Executable File
51 lines
1.7 KiB
Bash
Executable File
#!/usr/bin/env bash
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set -e
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if [ -z "$UNS_API_KEY" ]; then
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echo "Skipping ingest test against api because the UNS_API_KEY env var is not set."
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exit 8
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fi
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SRC_PATH=$(dirname "$(realpath "$0")")
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SCRIPT_DIR=$(dirname "$SRC_PATH")
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cd "$SCRIPT_DIR"/.. || exit 1
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OUTPUT_FOLDER_NAME=api-ingest-output
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OUTPUT_ROOT=${OUTPUT_ROOT:-$SCRIPT_DIR}
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OUTPUT_DIR=$OUTPUT_ROOT/structured-output/$OUTPUT_FOLDER_NAME
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WORK_DIR=$OUTPUT_ROOT/workdir/$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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# 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 "$WORK_DIR"
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}
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trap cleanup EXIT
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TEST_FILE_NAME=layout-parser-paper-with-table.pdf
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# including pdf-infer-table-structure to validate partition arguments are passed to the api
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RUN_SCRIPT=${RUN_SCRIPT:-./unstructured/ingest/main.py}
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PYTHONPATH=${PYTHONPATH:-.} "$RUN_SCRIPT" \
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local \
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--api-key "$UNS_API_KEY" \
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--metadata-exclude coordinates,metadata.last_modified,metadata.detection_class_prob,metadata.parent_id,metadata.category_depth \
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--partition-by-api \
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--strategy hi_res \
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--pdf-infer-table-structure \
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--reprocess \
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--output-dir "$OUTPUT_DIR" \
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--verbose \
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--num-processes "$max_processes" \
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--input-path "example-docs/$TEST_FILE_NAME" \
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--work-dir "$WORK_DIR"
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RESULT_FILE_PATH="$OUTPUT_DIR/$TEST_FILE_NAME.json"
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# validate that there is at least one table with text_as_html in the results
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if [ "$(jq 'any(.[]; .metadata.text_as_html != null)' "$RESULT_FILE_PATH")" = "false" ]; then
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echo "No table with text_as_html found in $RESULT_FILE_PATH but at least one was expected."
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exit 1
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fi
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