batch_run_single.py

import json
import sys
import pymongo
import requests
from traceback import print_exception
from typing import List
from loguru import logger
from hashlib import sha256

from lib.constant import *
from lib.state import State
from lib.tool import tool_utils

from lib.monitor.database_mgr import StateRecord
from lib.monitor.info_report import *
from lib.utils import misc
from lib.monitor.extend_config import extend_run_config


def compose_requests(records: List[StateRecord], info_report: InfoReport) -> List[dict]:
    if len(records) == 0:
        return []
    res = []
    for r in records:
        r_dict = json.loads(r['request_json'])
        try:
            info_report.update_state(hash_id=r_dict[HASH_ID], state=State.POST_RECEIVE)
            res.append(r_dict)
        except Exception as e:
            error_message = str(e)
            logger.error(error_message)
            info_report.update_state(hash_id=r_dict[HASH_ID], state=State.RECEIVE_ERROR)
            info_report.update_error_message(
                hash_id=r_dict[HASH_ID], error_msg=error_message
            )
            print_exception(*sys.exc_info())
    return res


def insert_request(r: dict, info_report: InfoReport):
    try:
        if not r[SENDER].startswith("test"):
            time = datetime.now().strftime("%Y%m%d_%H%M%S")
            # _received = sorted_dict(_received)
            hash_id = sha256(json.dumps(r).encode()).hexdigest()
            r[TIME_STAMP] = time
            r[HASH_ID] = hash_id
            new_r = extend_run_config(r)
            info_report.insert_new_request(new_r)
    except pymongo.errors.PyMongoError as e:
        logger.warning(
            f"Error when update with hash_id {r[HASH_ID]} : {str(e)}\n "
            f"retrying to reset existing record",
        )
        info_report.update_state(hash_id=r[HASH_ID], state=State.RECEIVED)
        if "run_config" not in r:
            logger.warning(
                f"run_config not in {json.dumps(r)}, \n"
                f"trying extending the request to "
                f"{json.dumps(extend_run_config(r))}"
            )
            info_report.update_request(
                hash_id=r[HASH_ID], request=extend_run_config(r)
            )
        info_report.update_visible(hash_id=r[HASH_ID], visible=1)


def call_pipeline(info_report: InfoReport):
    records = info_report.dbmgr.query(
        {VISIBLE: 1, STATE: State.RECEIVED.name}
                )
    records = list(records)
    logger.info(f"------- Received records: {records}")
                
    if len(records) > 0:
        for rcds in misc.chunk_generate(records, chunk_size=1):
            try:
                request_dicts = compose_requests(
                    rcds, info_report=info_report
                )
                logger.info(
                    f"start processing {len(request_dicts)} requests"
                    f"\n{json.dumps(request_dicts)}"
                )
                pipelineWorker(request_dicts)
                            
            except:
                print_exception(*sys.exc_info())
            break


def load_fasta(file_path, dir_name, data_suffix):
    # data_suffix: 2024-04-09
    seq_name = ""
    sequence = ""
    with open(file_path, 'r') as f:
        lines = f.readlines()
        for line in lines:
            if line.startswith(">"):
                seq_name = data_suffix + "_" + dir_name
            else:
                sequence = line.strip()
                
    return seq_name, sequence
                

def pipelineWorker(request_dicts):
    
    with tool_utils.tmpdir_manager(base_dir="/tmp") as tmpdir:
        os.path.join(tmpdir, "requests.pkl")
        # pip_request= {"requests" : request_dicts}
        pipeline_url = f"http://10.0.0.12:8081/pipeline"

        try:
            logger.info(f"------- Requests of pipeline task: {request_dicts}")
            requests.post(pipeline_url , json={'requests': request_dicts})
        except Exception as e:
            logger.error(str(e))

def main():

    info_report = InfoReport()
    
    # with open("./tmp/temp_6000_64_1_plmsim_mmseqs.json", 'r') as jf:
    # with open("./tmp/temp_6000_64_1_seqentropy.json", 'r') as jf:
    with open("./tmp/temp_esmfold_v1.json", 'r') as jf:
        request_dict = json.load(jf)
    
    # weeks = ['2024.02.17', '2024.02.24', '2024.03.02', '2024.03.09', 
    #          '2024.03.16', '2024.03.23', '2024.03.30', '2024.04.06']
    
    # new weeks: 2024.05.04  2024.05.11  2024.05.18  2024.05.25
    cameo_dir = "/data/protein/datasets_2024/experiment/modeling/2024.05.25/"
    # cameo_dir = "/data/protein/datasets_2024/experiment/modeling/modeling_one_week/modeling/2024.07.06/"
    data_suffix = "2024-06-05"
    # case_suffix = "base_deepmsa_mmseqs"
    case_suffix = "bdm"
    
    # for run dir or run bad case
    # run dir
    # dir_names = os.listdir(cameo_dir)
    # run bad case
    dir_names = os.listdir(cameo_dir)[:1]
    for dir_name in  dir_names:
        seq_file = cameo_dir + dir_name + "/" + "target.fasta"
        seq_name, sequence = load_fasta(seq_file, dir_name, data_suffix)
        request_dict["sequence"] = sequence
        request_dict["name"] = seq_name + "_" + case_suffix
        request_dict["target"] = seq_name
        logger.info(f"------- Received request: {request_dict}")
        insert_request(r=request_dict, info_report=info_report)
        call_pipeline(info_report=info_report)

if __name__ == "__main__":
    # parser = argparse.ArgumentParser()
    # parser.add_argument("-i", "--input_path", type=str, required=True)
    # args = parser.parse_args()
    
    logger.configure(**MONITOR_LOGGING_CONFIG)
    logger.info("------- Start to monitor -------")
    
    main()