#!/usr/bin/env bash

set -e

SRC_PATH=$(dirname "$(realpath "$0")")
SCRIPT_DIR=$(dirname "$SRC_PATH")
cd "$SCRIPT_DIR"/.. || exit 1
OUTPUT_ROOT=${OUTPUT_ROOT:-$SCRIPT_DIR}
OUTPUT_FOLDER_NAME=azure-cog-search-dest
OUTPUT_DIR=$OUTPUT_ROOT/structured-output/$OUTPUT_FOLDER_NAME
WORK_DIR=$OUTPUT_ROOT/workdir/$OUTPUT_FOLDER_NAME
max_processes=${MAX_PROCESSES:=$(python3 -c "import os; print(os.cpu_count())")}

AZURE_SEARCH_ENDPOINT="https://ingest-test-azure-cognitive-search.search.windows.net"

random_id=$(uuidgen)
# index name must be all lowercase
random_id=$(echo "$random_id" | tr '[:upper:]' '[:lower:]')
DESTINATION_INDEX="utic-test-ingest-fixtures-output-$random_id"
# The vector configs on the schema currently only exist on versions:
# 2023-07-01-Preview, 2021-04-30-Preview, 2020-06-30-Preview
API_VERSION=2023-07-01-Preview

if [ -z "$AZURE_SEARCH_API_KEY" ] || [ -z "$AZURE_SEARCH_ENDPOINT" ]; then
  echo "Skipping Azure Cognitive Search ingest test because AZURE_SEARCH_API_KEY or AZURE_SEARCH_ENDPOINT env var is not set."
  exit 8
fi

endpoint="$AZURE_SEARCH_ENDPOINT/indexes/$DESTINATION_INDEX?api-version=$API_VERSION"
echo "Connecting to endpoint: $endpoint"
# shellcheck disable=SC1091
source "$SCRIPT_DIR"/cleanup.sh
function cleanup {
  # Index cleanup
  response_code=$(curl -s -o /dev/null -w "%{http_code}" \
    "$endpoint" \
    --header "api-key: $AZURE_SEARCH_API_KEY" \
    --header 'content-type: application/json')
  if [ "$response_code" == "200" ]; then
    echo "deleting index $DESTINATION_INDEX"
    curl -X DELETE \
      "$endpoint" \
      --header "api-key: $AZURE_SEARCH_API_KEY" \
      --header 'content-type: application/json'
  else
    echo "Index $DESTINATION_INDEX does not exist, nothing to delete"
  fi

  # Local file cleanup
  cleanup_dir "$WORK_DIR"
  cleanup_dir "$OUTPUT_DIR"
}

trap cleanup EXIT

# Create index
echo "Creating index $DESTINATION_INDEX"
response=$(curl -X PUT -s -w "\n%{http_code}" \
  "$endpoint" \
  --header "api-key: $AZURE_SEARCH_API_KEY" \
  --header 'content-type: application/json' \
  --data "@$SCRIPT_DIR/files/azure_cognitive_index_schema.json")
response_code=$(echo "$response" | tail -n 1) # get the last line
content=$(echo "$response" | head -n 1)       # get the first line
if [ "$response_code" -lt 400 ]; then
  echo "Index creation success: $response_code"
else
  echo "Index creation failure [$response_code]: $content"
  exit 1
fi

RUN_SCRIPT=${RUN_SCRIPT:-./unstructured/ingest/main.py}
PYTHONPATH=${PYTHONPATH:-.} "$RUN_SCRIPT" \
  local \
  --num-processes "$max_processes" \
  --output-dir "$OUTPUT_DIR" \
  --strategy fast \
  --verbose \
  --reprocess \
  --input-path example-docs/fake-memo.pdf \
  --work-dir "$WORK_DIR" \
  azure-cognitive-search \
  --key "$AZURE_SEARCH_API_KEY" \
  --endpoint "$AZURE_SEARCH_ENDPOINT" \
  --index "$DESTINATION_INDEX"

# It can take some time for the index to catch up with the content that was written, this check between 10s sleeps
# to give it that time process the writes. Will timeout after checking for a minute.
docs_count_remote=0
attempt=1
while [ "$docs_count_remote" -eq 0 ] && [ "$attempt" -lt 6 ]; do
  echo "attempt $attempt: sleeping 10 seconds to let index finish catching up after writes"
  sleep 10

  # Check the contents of the index
  docs_count_remote=$(curl "$AZURE_SEARCH_ENDPOINT/indexes/$DESTINATION_INDEX/docs/\$count?api-version=$API_VERSION" \
    --header "api-key: $AZURE_SEARCH_API_KEY" \
    --header 'content-type: application/json' | jq)

  echo "docs count pulled from Azure Cognitive Search: $docs_count_remote"

  attempt=$((attempt + 1))
done

docs_count_local=0
for i in $(jq length "$OUTPUT_DIR"/*.json); do
  docs_count_local=$((docs_count_local + i))
done

if [ "$docs_count_remote" -ne "$docs_count_local" ]; then
  echo "Number of docs in Azure Cognitive Search $docs_count_remote doesn't match the expected docs: $docs_count_local"
  exit 1
fi