"""Entry point for processing R/qtl2 bundles."""
import sys
import uuid
import json
import argparse
import traceback
from typing import Any
from pathlib import Path
from zipfile import ZipFile
from logging import Logger, getLogger, StreamHandler

import MySQLdb as mdb
from redis import Redis

from functional_tools import take

import r_qtl.r_qtl2 as rqtl2
import r_qtl.r_qtl2_qc as rqc
import r_qtl.exceptions as rqe

from uploader import jobs
from uploader.db_utils import database_connection
from uploader.check_connections import check_db, check_redis

from scripts.cli_parser import init_cli_parser
from scripts.redis_logger import setup_redis_logger

from scripts.rqtl2.install_phenos import install_pheno_files
from scripts.rqtl2.install_genotypes import install_genotypes

def safe_json_decode(value: str) -> Any:
    """Safely decode the string values into JSON."""
    try:
        return json.loads(value)
    except json.decoder.JSONDecodeError:
        return value

def parse_job(rconn: Redis, rprefix: str, jobid: uuid.UUID) -> dict:
    """Load and parse job from Redis"""
    return {
        key: safe_json_decode(value)
            for key, value
        in jobs.job(rconn, rprefix, jobid).items()
    }

def has_geno_file(job: dict) -> bool:
    """Check whether to trigger processing of geno file(s)."""
    return bool(job.get("bundle-metadata", {}).get("geno-dataset-id"))

def has_pheno_file(job: dict) -> bool:
    """Check whether to trigger processing of pheno file(s)."""
    meta = job.get("bundle-metadata", {})
    return (bool(meta.get("probe-study-id"))
            and bool(meta.get("probe-dataset-id")))

def percent_completion(geno: float, pheno: float) -> float:
    """Compute the total completion percent."""
    return 0.5 * (geno + pheno)

def qc_r_qtl2_bundle(bundlefilepath, logger):
    """Run QC checks on the R/qtl2 bundle."""
    with ZipFile(bundlefilepath, "r") as zfile:
        logger.info("Validating the bundle ...")
        rqc.validate_bundle(zfile)
        logger.info(
            "Bundle successfully validated. All listed files are present.")

        cdata = rqtl2.control_data(zfile)
        if "geno" in cdata:
            gerr = False
            logger.info("Validating 'geno' file.")
            for error in take(rqc.geno_errors(zfile), 10):
                gerr = True
                logger.error("%s: [Line %s, Field %s]",
                             error[2], error[0], error[1])
            if gerr:
                logger.error("... more")
                raise rqe.InvalidFormat("'geno' file content contains errors.")
            logger.info("'geno' file validation was successful.")

def process_bundle(dbconn: mdb.Connection,
                   rconn: Redis,
                   rprefix: str,
                   jobid: uuid.UUID,
                   logger: Logger) -> int:
    """Process the R/qtl2 bundle."""
    try:
        thejob = parse_job(rconn, rprefix, jobid)
        meta = thejob["bundle-metadata"]
        qc_r_qtl2_bundle(meta["rqtl2-bundle-file"], logger)
        rconn.hset(jobs.job_key(rprefix, jobid), "geno-percent", "0")
        rconn.hset(jobs.job_key(rprefix, jobid), "pheno-percent", "0")

        if has_geno_file(thejob):
            logger.info("Processing geno files.")
            genoexit = install_genotypes(
                dbconn,
                argparse.Namespace(
                    speciesid=meta["speciesid"],
                    populationid=meta["populationid"],
                    datasetid=meta["geno-dataset-id"],
                    rqtl2bundle=Path(meta["rqtl2-bundle-file"])),
                logger)
            if genoexit != 0:
                raise Exception("Processing 'geno' file failed.")
            logger.debug(
                "geno file processing completed successfully. (ExitCode: %s)",
                genoexit)
            rconn.hset(jobs.job_key(rprefix, jobid), "geno-percent", "100")

        if has_pheno_file(thejob):
            phenoexit = install_pheno_files(
                dbconn,
                argparse.Namespace(
                    speciesid=meta["speciesid"],
                    platformid=meta["platformid"],
                    dataset_id=meta["probe-dataset-id"],
                    rqtl2bundle=Path(meta["rqtl2-bundle-file"])),
                logger)
            if phenoexit != 0:
                raise Exception("Processing 'pheno' file failed.")
            logger.debug(
                "pheno file processing completed successfully. (ExitCode: %s)",
                phenoexit)
            rconn.hset(jobs.job_key(rprefix, jobid), "pheno-percent", "100")

        return 0
    except jobs.JobNotFound as exc:
        logger.error("%s", exc.args)
    except Exception as _exc:#pylint: disable=[broad-except]
        logger.error("Exiting with generic error: %s", traceback.format_exc())

    return 1

if __name__ == "__main__":
    def main():
        """Run the `process_rqtl2_bundle` script."""
        args = init_cli_parser(
            "upload_rqtl2_bundle",
            "Launch this to control the processing of R/qtl2 zip bundles."
        ).parse_args()
        check_db(args.databaseuri)
        check_redis(args.redisuri)

        logger = getLogger("process_rqtl2_bundle")
        logger.addHandler(StreamHandler(stream=sys.stderr))
        logger.setLevel("DEBUG")

        fqjobid = jobs.job_key(args.redisprefix, args.jobid)
        with (database_connection(args.databaseuri) as dbconn,
              Redis.from_url(args.redisuri, decode_responses=True) as rconn):
            logger.addHandler(setup_redis_logger(
                rconn, fqjobid, f"{fqjobid}:log-messages",
                args.redisexpiry))

            exitcode = process_bundle(
                dbconn, rconn, args.redisprefix, args.jobid, logger)
            rconn.hset(
                jobs.job_key(args.redisprefix, args.jobid), "percent", "100")
            return exitcode

    sys.exit(main())