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import os
import sys
from typing import Callable
import jsonpickle
from redis import Redis
from redis.exceptions import ConnectionError
from .qc import cli_argument_parser
from quality_control.utils import make_progress_calculator
from quality_control.parsing import (
take, FileType, strain_names, collect_errors)
def make_progress_indicator(
redis_connection: Redis, job_id: str, progress_calc_fn: Callable) -> Callable:
def __indicator__(linenumber, linetext):
progress = progress_calc_fn(linenumber, linetext)
redis_connection.hset(name=job_id, mapping=progress._asdict())
return progress
return __indicator__
def cli_args_valid(args):
if not os.path.exists(args.filepath):
print(f"The file '{args.filepath}' does not exist.", file=sys.stderr)
return None
if not os.path.exists(args.strainsfile):
print(f"The file '{args.strainsfile}' does not exist.", file=sys.stderr)
return None
try:
conn = Redis.from_url(args.redisurl)
except ConnectionError as ce:
print(traceback.format_exc(), file=sys.stderr)
return None
return args
def process_cli_arguments():
parser = cli_argument_parser()
parser.prog = "worker"
parser.add_argument(
"redisurl", default="redis:///", help="URL to the redis server")
parser.add_argument("job_id", help="The id of the job being processed")
return cli_args_valid(parser.parse_args())
def stream_error(redis_conn, job_id, error):
errors = jsonpickle.decode(
redis_conn.hget(job_id, key="errors") or jsonpickle.encode(tuple()))
redis_conn.hset(
job_id, key="errors", value=jsonpickle.encode(errors + (error,)))
def main():
args = process_cli_arguments()
if args is None:
print("Quiting due to errors!", file=sys.stderr)
return 1
with Redis.from_url(args.redisurl) as redis_conn:
progress_calculator = make_progress_calculator(
os.stat(args.filepath).st_size)
progress_indicator = make_progress_indicator(
redis_conn, args.job_id, progress_calculator)
count = args.count
filepath = args.filepath
filetype = (
FileType.AVERAGE if args.filetype == "average"
else FileType.STANDARD_ERROR)
strains = strain_names(args.strainsfile)
redis_conn.hset(
name=args.job_id, key="status", value="Processing")
redis_conn.hset(
name=args.job_id, key="message", value="Collecting errors")
error_count = 0
for error in collect_errors(
filepath, filetype, strains, progress_indicator):
stream_error(redis_conn, args.job_id, error)
if count > 0:
error_count = error_count + 1
if error_count >= count:
break
redis_conn.hset(name=args.job_id, key="status", value="success")
return 0
if __name__ == "__main__":
main()
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