# Path: loom/util.py
# def LOG(message):
#     if VERBOSITY:
#         sys.stdout.write('{}\n'.format(message))
#         sys.stdout.flush()
# 
# Path: loom/util.py
# class LoomError(Exception):
#     pass
# 
# Path: loom/util.py
# def parallel_map(fun, args):
#     if not isinstance(args, list):
#         args = list(args)
#     is_daemon = multiprocessing.current_process().daemon
#     if THREADS == 1 or len(args) < 2 or is_daemon:
#         print 'Running {} in this thread'.format(fun.__name__)
#         return map(fun, args)
#     else:
#         print 'Running {} in {:d} threads'.format(fun.__name__, THREADS)
#         pool = multiprocessing.Pool(THREADS)
#         fun_args = [(fun, arg) for arg in args]
#         return pool.map(print_trace, fun_args, chunksize=1)


import os
import copy
import loom
import loom.transforms
import loom.format
import loom.generate
import loom.config
import loom.consensus
import loom.runner
import loom.preql
import loom.documented
import parsable
from distributions.io.stream import json_load
from distributions.io.stream import open_compressed
from distributions.io.stream import protobuf_stream_load
from loom.util import LOG
from loom.util import LoomError
from loom.util import parallel_map

DEFAULTS = {
    'sample_count': 10,
}


@parsable.command
def transform(
        name,
        schema_csv='schema.csv',
        rows_csv='rows.csv.gz'):
    '''
    Transform dataset from fluent format to loom internal format.
    Arguments:
        name            A unique identifier for ingest + inference
        schema_csv      Schema file with columns [feature_name, datatype], e.g.
                            Feature Name,Type
                            full name,id
                            start date,optional_date
                            age,real
                            zipcode,unbounded_categorical
                            description,text
                        Loom assumes the first line is a header and ignores it.
                        Features without datatypes are ignored.
        rows_csv        File or directory of csv files or csv.gz files
    Environment variables:
        LOOM_THREADS    Number of concurrent ingest tasks
        LOOM_VERBOSITY  Verbosity level
    '''
    if not os.path.exists(schema_csv):

# Path: loom/util.py
# def LOG(message):
#     if VERBOSITY:
#         sys.stdout.write('{}\n'.format(message))
#         sys.stdout.flush()
# 
# Path: loom/util.py
# class LoomError(Exception):
#     pass
# 
# Path: loom/util.py
# def parallel_map(fun, args):
#     if not isinstance(args, list):
#         args = list(args)
#     is_daemon = multiprocessing.current_process().daemon
#     if THREADS == 1 or len(args) < 2 or is_daemon:
#         print 'Running {} in this thread'.format(fun.__name__)
#         return map(fun, args)
#     else:
#         print 'Running {} in {:d} threads'.format(fun.__name__, THREADS)
#         pool = multiprocessing.Pool(THREADS)
#         fun_args = [(fun, arg) for arg in args]
#         return pool.map(print_trace, fun_args, chunksize=1)


# Path: loom/tasks.py
import os
import copy
import loom
import loom.transforms
import loom.format
import loom.generate
import loom.config
import loom.consensus
import loom.runner
import loom.preql
import loom.documented
import parsable
from distributions.io.stream import json_load
from distributions.io.stream import open_compressed
from distributions.io.stream import protobuf_stream_load
from loom.util import LOG
from loom.util import LoomError
from loom.util import parallel_map


DEFAULTS = {
    'sample_count': 10,
}


@parsable.command
def transform(
        name,
        schema_csv='schema.csv',
        rows_csv='rows.csv.gz'):
    '''
    Transform dataset from fluent format to loom internal format.
    Arguments:
        name            A unique identifier for ingest + inference
        schema_csv      Schema file with columns [feature_name, datatype], e.g.
                            Feature Name,Type
                            full name,id
                            start date,optional_date
                            age,real
                            zipcode,unbounded_categorical
                            description,text
                        Loom assumes the first line is a header and ignores it.
                        Features without datatypes are ignored.
        rows_csv        File or directory of csv files or csv.gz files
    Environment variables:
        LOOM_THREADS    Number of concurrent ingest tasks
        LOOM_VERBOSITY  Verbosity level
    '''
    if not os.path.exists(schema_csv):

        raise LoomError('Missing schema_csv file: {}'.format(schema_csv))