#!/bin/bash
source test_tipc/common_func.sh

FILENAME=$1
dataline=$(awk 'NR==1, NR==19{print}'  $FILENAME)

# parser params
IFS=$'\n'
lines=(${dataline})

function func_get_url_file_name(){
    strs=$1
    IFS="/"
    array=(${strs})
    tmp=${array[${#array[@]}-1]}
    echo ${tmp}
}

# parser serving
model_name=$(func_parser_value "${lines[1]}")
python=$(func_parser_value "${lines[2]}")
trans_model_py=$(func_parser_value "${lines[4]}")
infer_model_dir_key=$(func_parser_key "${lines[5]}")
infer_model_dir_value=$(func_parser_value "${lines[5]}")
model_filename_key=$(func_parser_key "${lines[6]}")
model_filename_value=$(func_parser_value "${lines[6]}")
params_filename_key=$(func_parser_key "${lines[7]}")
params_filename_value=$(func_parser_value "${lines[7]}")
serving_server_key=$(func_parser_key "${lines[8]}")
serving_server_value=$(func_parser_value "${lines[8]}")
serving_client_key=$(func_parser_key "${lines[9]}")
serving_client_value=$(func_parser_value "${lines[9]}")
serving_dir_value=$(func_parser_value "${lines[10]}")
web_service_py=$(func_parser_value "${lines[11]}")
web_use_gpu_key=$(func_parser_key "${lines[12]}")
web_use_gpu_list=$(func_parser_value "${lines[12]}")
pipeline_py=$(func_parser_value "${lines[13]}")


function func_serving_cls(){
    LOG_PATH="test_tipc/output/${model_name}"
    mkdir -p ${LOG_PATH}
    LOG_PATH="../../${LOG_PATH}"
    status_log="${LOG_PATH}/results_serving.log"
    IFS='|'

    # pdserving
    set_dirname=$(func_set_params "${infer_model_dir_key}" "${infer_model_dir_value}")
    set_model_filename=$(func_set_params "${model_filename_key}" "${model_filename_value}")
    set_params_filename=$(func_set_params "${params_filename_key}" "${params_filename_value}")
    set_serving_server=$(func_set_params "${serving_server_key}" "${serving_server_value}")
    set_serving_client=$(func_set_params "${serving_client_key}" "${serving_client_value}")

    for python_ in ${python[*]}; do
        if [[ ${python_} =~ "python" ]]; then
            trans_model_cmd="${python_} ${trans_model_py} ${set_dirname} ${set_model_filename} ${set_params_filename} ${set_serving_server} ${set_serving_client}"
            eval $trans_model_cmd
            # echo $PWD - $trans_model_cmd
            break
        fi
    done

    # modify the alias_name of fetch_var to "outputs"
    server_fetch_var_line_cmd="sed -i '/fetch_var/,/is_lod_tensor/s/alias_name: .*/alias_name: \"prediction\"/' ${serving_server_value}/serving_server_conf.prototxt"
    eval ${server_fetch_var_line_cmd}

    client_fetch_var_line_cmd="sed -i '/fetch_var/,/is_lod_tensor/s/alias_name: .*/alias_name: \"prediction\"/' ${serving_client_value}/serving_client_conf.prototxt"
    eval ${client_fetch_var_line_cmd}

    prototxt_dataline=$(awk 'NR==1, NR==3{print}'  ${serving_server_value}/serving_server_conf.prototxt)
    IFS=$'\n'
    prototxt_lines=(${prototxt_dataline})
    feed_var_name=$(func_parser_value "${prototxt_lines[2]}")
    IFS='|'

    cd ${serving_dir_value}
    unset https_proxy
    unset http_proxy

    if [[ ${FILENAME} =~ "cpp" ]]; then
        for item in ${python[*]}; do
            if [[ ${item} =~ "python" ]]; then
                python_=${item}
                break
            fi
        done
        set_client_feed_type_cmd="sed -i '/feed_type/,/: .*/s/feed_type: .*/feed_type: 20/' ${serving_client_value}/serving_client_conf.prototxt"
        eval ${set_client_feed_type_cmd}
        set_client_shape_cmd="sed -i '/shape: 3/,/shape: 3/s/shape: 3/shape: 1/' ${serving_client_value}/serving_client_conf.prototxt"
        eval ${set_client_shape_cmd}
        set_client_shape224_cmd="sed -i '/shape: 224/,/shape: 224/s/shape: 224//' ${serving_client_value}/serving_client_conf.prototxt"
        eval ${set_client_shape224_cmd}
        set_client_shape224_cmd="sed -i '/shape: 224/,/shape: 224/s/shape: 224//' ${serving_client_value}/serving_client_conf.prototxt"
        eval ${set_client_shape224_cmd}

        serving_client_dir_name=$(func_get_url_file_name "$serving_client_value")
        set_pipeline_load_config_cmd="sed -i '/load_client_config/,/.prototxt/s/.\/.*\/serving_client_conf.prototxt/.\/${serving_client_dir_name}\/serving_client_conf.prototxt/' ${pipeline_py}"
        eval ${set_pipeline_load_config_cmd}

        set_pipeline_feed_var_cmd="sed -i '/feed=/,/: image}/s/feed={.*: image}/feed={${feed_var_name}: image}/' ${pipeline_py}"
        eval ${set_pipeline_feed_var_cmd}

        serving_server_dir_name=$(func_get_url_file_name "$serving_server_value")

        for use_gpu in ${web_use_gpu_list[*]}; do
            if [[ ${use_gpu} = "null" ]]; then
                web_service_cpp_cmd="${python_} -m paddle_serving_server.serve --model ${serving_server_dir_name} --op GeneralClasOp --port 9292 &"
                eval ${web_service_cpp_cmd}
                sleep 5s
                _save_log_path="${LOG_PATH}/server_infer_cpp_cpu_pipeline_batchsize_1.log"
                pipeline_cmd="${python_} test_cpp_serving_client.py > ${_save_log_path} 2>&1 "
                eval ${pipeline_cmd}
                last_status=${PIPESTATUS[0]}
                eval "cat ${_save_log_path}"
                status_check ${last_status} "${pipeline_cmd}" "${status_log}" "${model_name}"
                eval "${python_} -m paddle_serving_server.serve stop"
                sleep 5s
            else
                web_service_cpp_cmd="${python_} -m paddle_serving_server.serve --model ${serving_server_dir_name} --op GeneralClasOp --port 9292 --gpu_id=${use_gpu} &"
                eval ${web_service_cpp_cmd}
                sleep 8s

                _save_log_path="${LOG_PATH}/server_infer_cpp_gpu_pipeline_batchsize_1.log"
                pipeline_cmd="${python_} test_cpp_serving_client.py > ${_save_log_path} 2>&1 "

                eval $pipeline_cmd
                last_status=${PIPESTATUS[0]}
                eval "cat ${_save_log_path}"
                status_check ${last_status} "${pipeline_cmd}" "${status_log}" "${model_name}"
                sleep 5s
                eval "${python_} -m paddle_serving_server.serve stop"
            fi
        done
    else
        # python serving
        # modify the input_name in "classification_web_service.py" to be consistent with feed_var.name in prototxt
        set_web_service_feed_var_cmd="sed -i '/preprocess/,/input_imgs}/s/{.*: input_imgs}/{${feed_var_name}: input_imgs}/' ${web_service_py}"
        eval ${set_web_service_feed_var_cmd}

        model_config=21
        serving_server_dir_name=$(func_get_url_file_name "$serving_server_value")
        set_model_config_cmd="sed -i '${model_config}s/model_config: .*/model_config: ${serving_server_dir_name}/' config.yml"
        eval ${set_model_config_cmd}

        for use_gpu in ${web_use_gpu_list[*]}; do
            if [[ ${use_gpu} = "null" ]]; then
                device_type_line=24
                set_device_type_cmd="sed -i '${device_type_line}s/device_type: .*/device_type: 0/' config.yml"
                eval $set_device_type_cmd

                devices_line=27
                set_devices_cmd="sed -i '${devices_line}s/devices: .*/devices: \"\"/' config.yml"
                eval $set_devices_cmd

                web_service_cmd="${python_} ${web_service_py} &"
                eval $web_service_cmd
                sleep 5s
                for pipeline in ${pipeline_py[*]}; do
                    _save_log_path="${LOG_PATH}/server_infer_cpu_${pipeline%_client*}_batchsize_1.log"
                    pipeline_cmd="${python_} ${pipeline} > ${_save_log_path} 2>&1 "
                    eval $pipeline_cmd
                    last_status=${PIPESTATUS[0]}
                    eval "cat ${_save_log_path}"
                    status_check $last_status "${pipeline_cmd}" "${status_log}" "${model_name}"
                    sleep 5s
                done
                eval "${python_} -m paddle_serving_server.serve stop"
            elif [ ${use_gpu} -eq 0 ]; then
                if [[ ${_flag_quant} = "False" ]] && [[ ${precision} =~ "int8" ]]; then
                    continue
                fi
                if [[ ${precision} =~ "fp16" || ${precision} =~ "int8" ]] && [ ${use_trt} = "False" ]; then
                    continue
                fi
                if [[ ${use_trt} = "False" || ${precision} =~ "int8" ]] && [[ ${_flag_quant} = "True" ]]; then
                    continue
                fi

                device_type_line=24
                set_device_type_cmd="sed -i '${device_type_line}s/device_type: .*/device_type: 1/' config.yml"
                eval $set_device_type_cmd

                devices_line=27
                set_devices_cmd="sed -i '${devices_line}s/devices: .*/devices: \"${use_gpu}\"/' config.yml"
                eval $set_devices_cmd

                web_service_cmd="${python_} ${web_service_py} & "
                eval $web_service_cmd
                sleep 5s
                for pipeline in ${pipeline_py[*]}; do
                    _save_log_path="${LOG_PATH}/server_infer_gpu_${pipeline%_client*}_batchsize_1.log"
                    pipeline_cmd="${python_} ${pipeline} > ${_save_log_path} 2>&1"
                    eval $pipeline_cmd
                    last_status=${PIPESTATUS[0]}
                    eval "cat ${_save_log_path}"
                    status_check $last_status "${pipeline_cmd}" "${status_log}" "${model_name}"
                    sleep 5s
                done
                eval "${python_} -m paddle_serving_server.serve stop"
            else
                echo "Does not support hardware [${use_gpu}] other than CPU and GPU Currently!"
            fi
        done
    fi
}


function func_serving_rec(){
    LOG_PATH="../../../test_tipc/output/${model_name}"
    mkdir -p ${LOG_PATH}
    status_log="${LOG_PATH}/results_serving.log"
    trans_model_py=$(func_parser_value "${lines[5]}")
    cls_infer_model_dir_key=$(func_parser_key "${lines[6]}")
    cls_infer_model_dir_value=$(func_parser_value "${lines[6]}")
    det_infer_model_dir_key=$(func_parser_key "${lines[7]}")
    det_infer_model_dir_value=$(func_parser_value "${lines[7]}")
    model_filename_key=$(func_parser_key "${lines[8]}")
    model_filename_value=$(func_parser_value "${lines[8]}")
    params_filename_key=$(func_parser_key "${lines[9]}")
    params_filename_value=$(func_parser_value "${lines[9]}")

    cls_serving_server_key=$(func_parser_key "${lines[10]}")
    cls_serving_server_value=$(func_parser_value "${lines[10]}")
    cls_serving_client_key=$(func_parser_key "${lines[11]}")
    cls_serving_client_value=$(func_parser_value "${lines[11]}")

    det_serving_server_key=$(func_parser_key "${lines[12]}")
    det_serving_server_value=$(func_parser_value "${lines[12]}")
    det_serving_client_key=$(func_parser_key "${lines[13]}")
    det_serving_client_value=$(func_parser_value "${lines[13]}")

    serving_dir_value=$(func_parser_value "${lines[14]}")
    web_service_py=$(func_parser_value "${lines[15]}")
    web_use_gpu_key=$(func_parser_key "${lines[16]}")
    web_use_gpu_list=$(func_parser_value "${lines[16]}")
    pipeline_py=$(func_parser_value "${lines[17]}")

    IFS='|'
    for python_ in ${python[*]}; do
        if [[ ${python_} =~ "python" ]]; then
            python_interp=${python_}
            break
        fi
    done

    # pdserving
    cd ./deploy
    set_dirname=$(func_set_params "${cls_infer_model_dir_key}" "${cls_infer_model_dir_value}")
    set_model_filename=$(func_set_params "${model_filename_key}" "${model_filename_value}")
    set_params_filename=$(func_set_params "${params_filename_key}" "${params_filename_value}")
    set_serving_server=$(func_set_params "${cls_serving_server_key}" "${cls_serving_server_value}")
    set_serving_client=$(func_set_params "${cls_serving_client_key}" "${cls_serving_client_value}")
    cls_trans_model_cmd="${python_interp} ${trans_model_py} ${set_dirname} ${set_model_filename} ${set_params_filename} ${set_serving_server} ${set_serving_client}"
    eval $cls_trans_model_cmd

    set_dirname=$(func_set_params "${det_infer_model_dir_key}" "${det_infer_model_dir_value}")
    set_model_filename=$(func_set_params "${model_filename_key}" "${model_filename_value}")
    set_params_filename=$(func_set_params "${params_filename_key}" "${params_filename_value}")
    set_serving_server=$(func_set_params "${det_serving_server_key}" "${det_serving_server_value}")
    set_serving_client=$(func_set_params "${det_serving_client_key}" "${det_serving_client_value}")
    det_trans_model_cmd="${python_interp} ${trans_model_py} ${set_dirname} ${set_model_filename} ${set_params_filename} ${set_serving_server} ${set_serving_client}"
    eval $det_trans_model_cmd

    # modify the alias_name of fetch_var to "outputs"
    server_fetch_var_line_cmd="sed -i '/fetch_var/,/is_lod_tensor/s/alias_name: .*/alias_name: \"features\"/' $cls_serving_server_value/serving_server_conf.prototxt"
    eval ${server_fetch_var_line_cmd}
    client_fetch_var_line_cmd="sed -i '/fetch_var/,/is_lod_tensor/s/alias_name: .*/alias_name: \"features\"/' $cls_serving_client_value/serving_client_conf.prototxt"
    eval ${client_fetch_var_line_cmd}

    prototxt_dataline=$(awk 'NR==1, NR==3{print}'  ${cls_serving_server_value}/serving_server_conf.prototxt)
    IFS=$'\n'
    prototxt_lines=(${prototxt_dataline})
    feed_var_name=$(func_parser_value "${prototxt_lines[2]}")
    IFS='|'

    cd ${serving_dir_value}
    unset https_proxy
    unset http_proxy

    if [[ ${FILENAME} =~ "cpp" ]]; then
        det_serving_client_dir_name=$(func_get_url_file_name "$det_serving_client_value")
        set_det_client_config_line_cmd="sed -i '/MainbodyDetect/,/serving_client_conf.prototxt/s/models\/.*\/serving_client_conf.prototxt/models\/${det_serving_client_dir_name}\/serving_client_conf.prototxt/' ${pipeline_py}"
        eval ${set_det_client_config_line_cmd}

        cls_serving_client_dir_name=$(func_get_url_file_name "$cls_serving_client_value")
        set_cls_client_config_line_cmd="sed -i '/ObjectRecognition/,/serving_client_conf.prototxt/s/models\/.*\/serving_client_conf.prototxt/models\/${cls_serving_client_dir_name}\/serving_client_conf.prototxt/' ${pipeline_py}"
        eval ${set_cls_client_config_line_cmd}

        set_pipeline_py_feed_var_cmd="sed -i '/ObjectRecognition/,/feed={\"x\": batch_imgs}/s/{.*: batch_imgs}/{${feed_var_name}: batch_imgs}/' ${pipeline_py}"
        eval ${set_pipeline_py_feed_var_cmd}

        for use_gpu in ${web_use_gpu_list[*]}; do
            if [ ${use_gpu} = "null" ]; then

                det_serving_server_dir_name=$(func_get_url_file_name "$det_serving_server_value")
                web_service_cpp_cmd="${python_interp} -m paddle_serving_server.serve --model ../../models/${det_serving_server_dir_name} --port 9293 >>log_mainbody_detection.txt &"

                cls_serving_server_dir_name=$(func_get_url_file_name "$cls_serving_server_value")
                web_service_cpp_cmd2="${python_interp} -m paddle_serving_server.serve --model ../../models/${cls_serving_server_dir_name} --port 9294 >>log_feature_extraction.txt &"
                eval $web_service_cpp_cmd
                eval $web_service_cpp_cmd2
                sleep 5s
                _save_log_path="${LOG_PATH}/server_infer_cpp_cpu_batchsize_1.log"
                pipeline_cmd="${python_interp} test_cpp_serving_client.py > ${_save_log_path} 2>&1 "
                eval ${pipeline_cmd}
                last_status=${PIPESTATUS[0]}
                eval "cat ${_save_log_path}"
                status_check ${last_status} "${pipeline_cmd}" "${status_log}" "${model_name}"
                eval "${python_} -m paddle_serving_server.serve stop"
                sleep 5s
            else
                det_serving_server_dir_name=$(func_get_url_file_name "$det_serving_server_value")
                web_service_cpp_cmd="${python_interp} -m paddle_serving_server.serve --model ../../models/${det_serving_server_dir_name} --port 9293 --gpu_id=${use_gpu} >>log_mainbody_detection.txt &"

                cls_serving_server_dir_name=$(func_get_url_file_name "$cls_serving_server_value")
                web_service_cpp_cmd2="${python_interp} -m paddle_serving_server.serve --model ../../models/${cls_serving_server_dir_name} --port 9294 --gpu_id=${use_gpu} >>log_feature_extraction.txt &"
                eval $web_service_cpp_cmd
                eval $web_service_cpp_cmd2
                sleep 5s
                _save_log_path="${LOG_PATH}/server_infer_cpp_gpu_batchsize_1.log"
                pipeline_cmd="${python_interp} test_cpp_serving_client.py > ${_save_log_path} 2>&1 "
                eval ${pipeline_cmd}
                last_status=${PIPESTATUS[0]}
                eval "cat ${_save_log_path}"
                status_check ${last_status} "${pipeline_cmd}" "${status_log}" "${model_name}"
                eval "${python_} -m paddle_serving_server.serve stop"
                sleep 5s
            fi
        done
    else
        # modify the input_name in "recognition_web_service.py" to be consistent with feed_var.name in prototxt
        set_web_service_feed_var_cmd="sed -i '/preprocess/,/input_imgs}/s/{.*: input_imgs}/{${feed_var_name}: input_imgs}/' ${web_service_py}"
        eval ${set_web_service_feed_var_cmd}
        # python serving
        for use_gpu in ${web_use_gpu_list[*]}; do
            if [[ ${use_gpu} = "null" ]]; then
                device_type_line=24
                set_device_type_cmd="sed -i '${device_type_line}s/device_type: .*/device_type: 0/' config.yml"
                eval $set_device_type_cmd

                devices_line=27
                set_devices_cmd="sed -i '${devices_line}s/devices: .*/devices: \"\"/' config.yml"
                eval $set_devices_cmd

                web_service_cmd="${python} ${web_service_py} &"
                eval $web_service_cmd
                sleep 5s
                for pipeline in ${pipeline_py[*]}; do
                    _save_log_path="${LOG_PATH}/server_infer_cpu_${pipeline%_client*}_batchsize_1.log"
                    pipeline_cmd="${python} ${pipeline} > ${_save_log_path} 2>&1 "
                    eval $pipeline_cmd
                    last_status=${PIPESTATUS[0]}
                    eval "cat ${_save_log_path}"
                    status_check $last_status "${pipeline_cmd}" "${status_log}" "${model_name}"
                    sleep 5s
                done
                eval "${python_} -m paddle_serving_server.serve stop"
            elif [ ${use_gpu} -eq 0 ]; then
                if [[ ${_flag_quant} = "False" ]] && [[ ${precision} =~ "int8" ]]; then
                    continue
                fi
                if [[ ${precision} =~ "fp16" || ${precision} =~ "int8" ]] && [ ${use_trt} = "False" ]; then
                    continue
                fi
                if [[ ${use_trt} = "False" || ${precision} =~ "int8" ]] && [[ ${_flag_quant} = "True" ]]; then
                    continue
                fi

                device_type_line=24
                set_device_type_cmd="sed -i '${device_type_line}s/device_type: .*/device_type: 1/' config.yml"
                eval $set_device_type_cmd

                devices_line=27
                set_devices_cmd="sed -i '${devices_line}s/devices: .*/devices: \"${use_gpu}\"/' config.yml"
                eval $set_devices_cmd

                web_service_cmd="${python} ${web_service_py} & "
                eval $web_service_cmd
                sleep 10s
                for pipeline in ${pipeline_py[*]}; do
                    _save_log_path="${LOG_PATH}/server_infer_gpu_${pipeline%_client*}_batchsize_1.log"
                    pipeline_cmd="${python} ${pipeline} > ${_save_log_path} 2>&1"
                    eval $pipeline_cmd
                    last_status=${PIPESTATUS[0]}
                    eval "cat ${_save_log_path}"
                    status_check $last_status "${pipeline_cmd}" "${status_log}" "${model_name}"
                    sleep 10s
                done
                eval "${python_} -m paddle_serving_server.serve stop"
            else
                echo "Does not support hardware [${use_gpu}] other than CPU and GPU Currently!"
            fi
        done
    fi
}


# set cuda device
GPUID=$2
if [ ${#GPUID} -le 0 ];then
    env=" "
else
    env="export CUDA_VISIBLE_DEVICES=${GPUID}"
fi
set CUDA_VISIBLE_DEVICES
eval $env


echo "################### run test ###################"

export Count=0
IFS="|"
if [[ ${model_name} =~ "ShiTu" ]]; then
    func_serving_rec
else
    func_serving_cls
fi