#!/bin/bash
# Copyright (C) 2025 Advanced Micro Devices, Inc.
# Copyright (C) 2025 Intel Corporation
# SPDX-License-Identifier: Apache-2.0

set -xe
IMAGE_REPO=${IMAGE_REPO:-"opea"}
IMAGE_TAG=${IMAGE_TAG:-"latest"}
echo "REGISTRY=IMAGE_REPO=${IMAGE_REPO}"
echo "TAG=IMAGE_TAG=${IMAGE_TAG}"
export REGISTRY=${IMAGE_REPO}
export TAG=${IMAGE_TAG}
export MODEL_CACHE=${model_cache:-"./data"}

WORKPATH=$(dirname "$PWD")
mkdir -p "$WORKPATH/tests/logs"
LOG_PATH="$WORKPATH/tests/logs"
ip_address=$(hostname -I | awk '{print $1}')
source $WORKPATH/docker_compose/amd/cpu/epyc/set_env.sh

function build_docker_images() {
	opea_branch=${opea_branch:-"main"}

	cd $WORKPATH/docker_image_build
	git clone --depth 1 --branch ${opea_branch} https://github.com/opea-project/GenAIComps.git
	pushd GenAIComps
	echo "GenAIComps test commit is $(git rev-parse HEAD)"
	docker build --no-cache -t ${REGISTRY}/comps-base:${TAG} --build-arg https_proxy=$https_proxy --build-arg http_proxy=$http_proxy -f Dockerfile .
	popd && sleep 1s

	echo "Build all the images with --no-cache, check docker_image_build.log for details..."
	service_list="codegen codegen-gradio-ui llm-textgen dataprep retriever embedding"

	docker compose -f build.yaml build ${service_list} --no-cache >${LOG_PATH}/docker_image_build.log

	docker pull ghcr.io/huggingface/text-generation-inference:2.4.0-intel-cpu
	docker images && sleep 1s
}

function start_services() {
	local compose_file="$1"
	local llm_container_name="$2"
	export no_proxy="localhost,127.0.0.1,$ip_address"
	cd $WORKPATH/docker_compose/amd/cpu/epyc/

	# Start Docker Containers
	docker compose -f ${compose_file} up -d >${LOG_PATH}/start_services_with_compose.log

	n=0
	until [[ "$n" -ge 100 ]]; do
		docker logs ${llm_container_name} >${LOG_PATH}/llm_service_start.log 2>&1
		if grep -E "Connected|complete" ${LOG_PATH}/llm_service_start.log; then
			break
		fi
		sleep 5s
		n=$((n + 1))
	done
}

function validate_services() {
	local URL="$1"
	local EXPECTED_RESULT="$2"
	local SERVICE_NAME="$3"
	local DOCKER_NAME="$4"
	local INPUT_DATA="$5"

	if [[ "$SERVICE_NAME" == "ingest" ]]; then
		local HTTP_STATUS=$(curl -s -o /dev/null -w "%{http_code}" -X POST -F "$INPUT_DATA" -F index_name=test_redis -H 'Content-Type: multipart/form-data' "$URL")

		if [ "$HTTP_STATUS" -eq 200 ]; then
			echo "[ $SERVICE_NAME ] HTTP status is 200. Data preparation succeeded..."
		else
			echo "[ $SERVICE_NAME ] Data preparation failed..."
		fi

	else
		local HTTP_STATUS=$(curl -s -o /dev/null -w "%{http_code}" -X POST -d "$INPUT_DATA" -H 'Content-Type: application/json' "$URL")
		if [ "$HTTP_STATUS" -eq 200 ]; then
			echo "[ $SERVICE_NAME ] HTTP status is 200. Checking content..."

			local CONTENT=$(curl -s -X POST -d "$INPUT_DATA" -H 'Content-Type: application/json' "$URL" | tee ${LOG_PATH}/${SERVICE_NAME}.log)

			if echo "$CONTENT" | grep -q "$EXPECTED_RESULT"; then
				echo "[ $SERVICE_NAME ] Content is as expected."
			else
				echo "[ $SERVICE_NAME ] Content does not match the expected result: $CONTENT"
				docker logs ${DOCKER_NAME} >>${LOG_PATH}/${SERVICE_NAME}.log
				exit 1
			fi
		else
			echo "[ $SERVICE_NAME ] HTTP status is not 200. Received status was $HTTP_STATUS"
			docker logs ${DOCKER_NAME} >>${LOG_PATH}/${SERVICE_NAME}.log
			exit 1
		fi
	fi
	sleep 5s
}

function validate_microservices() {
	local llm_container_name="$1"

	# tgi for llm service
	validate_services \
		"${ip_address}:8028/v1/chat/completions" \
		"completion_tokens" \
		"llm-service" \
		"${llm_container_name}" \
		'{"model": "Qwen/Qwen2.5-Coder-7B-Instruct", "messages": [{"role": "user", "content": "What is Deep Learning?"}], "max_tokens": 256}'

	# llm microservice
	validate_services \
		"${ip_address}:9000/v1/chat/completions" \
		"data: " \
		"llm" \
		"llm-textgen-server" \
		'{"query":"def print_hello_world():", "max_tokens": 256}'

	# Data ingest microservice
	validate_services \
		"${ip_address}:6007/v1/dataprep/ingest" \
		"Data preparation succeeded" \
		"ingest" \
		"dataprep-redis-server" \
		'link_list=["https://modin.readthedocs.io/en/latest/index.html"]'

}

function validate_megaservice() {
	# Curl the Mega Service
	validate_services \
		"${ip_address}:7778/v1/codegen" \
		"print" \
		"mega-codegen" \
		"codegen-epyc-backend-server" \
		'{"messages": "def print_hello_world():", "max_tokens": 256}'

	# Curl the Mega Service with stream as false
	validate_services \
		"${ip_address}:7778/v1/codegen" \
		"" \
		"mega-codegen" \
		"codegen-epyc-backend-server" \
		'{ "messages": "def print_hello_world():", "max_tokens": 256, "stream": false}'

	# Curl the Mega Service with index_name and agents_flag
	validate_services \
		"${ip_address}:7778/v1/codegen" \
		"" \
		"mega-codegen" \
		"codegen-epyc-backend-server" \
		'{ "index_name": "test_redis", "agents_flag": "True", "messages": "def print_hello_world():", "max_tokens": 256}'

	validate_services \
		"${ip_address}:7778/v1/codegen" \
		"class" \
		"mega-codegen" \
		"codegen-epyc-backend-server" \
		'{"model": "Qwen/Qwen2.5-Coder-7B-Instruct", "messages": [{"role": "user", "content": "Implement a basic Python class"}], "max_tokens":32}'

}

function stop_docker() {
	local compose_file="$1"

	cd $WORKPATH/docker_compose/amd/cpu/epyc/
	docker compose -f ${compose_file} down
}

function main() {
	# all docker docker compose files for epyc Platform
	docker_compose_files=("compose_tgi.yaml")
	docker_llm_container_names=("tgi-server")

	# get number of compose files and LLM docker container names
	len_compose_files=${#docker_compose_files[@]}
	len_containers=${#docker_llm_container_names[@]}

	# number of compose files and docker container names must be matched
	if [ ${len_compose_files} -ne ${len_containers} ]; then
		echo "Error: number of docker compose files ${len_compose_files} and container names ${len_containers} mismatched"
		exit 1
	fi

	# stop_docker, stop all compose files
	for ((i = 0; i < len_compose_files; i++)); do
		stop_docker "${docker_compose_files[${i}]}"
	done

	# build docker images
	if [[ "$IMAGE_REPO" == "opea" ]]; then build_docker_images; fi

	# loop all compose files
	for ((i = 0; i < len_compose_files; i++)); do
		echo "Process [${i}]: ${docker_compose_files[$i]}, ${docker_llm_container_names[${i}]}"
		docker ps -a

		echo "::group::start_services"
		start_services "${docker_compose_files[${i}]}" "${docker_llm_container_names[${i}]}"
		echo "::endgroup::"

		echo "::group::validate_microservices"
		validate_microservices "${docker_llm_container_names[${i}]}"
		echo "::endgroup::"

		echo "::group::validate_megaservice"
		validate_megaservice
		echo "::endgroup::"

		stop_docker "${docker_compose_files[${i}]}"
		sleep 5s
	done

	docker system prune -f
}

main
