"""Load script to ingest title_placements.csv into Elasticsearch."""
import logging
import md5

from datetime import datetime
from collections import deque
from optparse import OptionParser
from elasticsearch import Elasticsearch
from elasticsearch.helpers import streaming_bulk

logging.basicConfig(level=logging.INFO)
log = logging.getLogger(__name__)

es = Elasticsearch()


def read(path):
    """Read the CSV and yield actions."""
    m = md5.new()
    log.info("read: Reading file: %s", path)
    with open(path) as f:
        for line in f:
            parts = line.split(",")
            if parts[0].strip() != "ts":
                row = {"ts": datetime.fromtimestamp(float(parts[0].strip()) / 1000),
                       "user": parts[1].strip(),
                       "x_coordinate": int(parts[2].strip()),
                       "y_coordinate": int(parts[3].strip()),
                       "color": parts[4].strip()
                      }
                m.update('{0}{1}'.format(row["ts"], row['user']))
                doc_id = m.hexdigest()
                yield {
                    '_op_type': 'index',
                    '_index': 'tile_placements',
                    '_type': 'tile_placement',
                    '_id': doc_id,
                    'doc': row}

if __name__ == "__main__":
    parser = OptionParser()
    parser.add_option("-f", "--file",
                      help="The path to the tile_placements.csv file.")
    (options, args) = parser.parse_args()

    if not options.file:
        parser.error("File not provided. -f is required.")
    deque(streaming_bulk(es, read(options.file), chunk_size=50000))

43d879fa0ebfdc62a3299f17c148f85d7f4db4b4
<mask token>


def read(path):
    """Read the CSV and yield actions."""
    m = md5.new()
    log.info('read: Reading file: %s', path)
    with open(path) as f:
        for line in f:
            parts = line.split(',')
            if parts[0].strip() != 'ts':
                row = {'ts': datetime.fromtimestamp(float(parts[0].strip()) /
                    1000), 'user': parts[1].strip(), 'x_coordinate': int(
                    parts[2].strip()), 'y_coordinate': int(parts[3].strip()
                    ), 'color': parts[4].strip()}
                m.update('{0}{1}'.format(row['ts'], row['user']))
                doc_id = m.hexdigest()
                yield {'_op_type': 'index', '_index': 'tile_placements',
                    '_type': 'tile_placement', '_id': doc_id, 'doc': row}


<mask token>

<mask token>
logging.basicConfig(level=logging.INFO)
<mask token>


def read(path):
    """Read the CSV and yield actions."""
    m = md5.new()
    log.info('read: Reading file: %s', path)
    with open(path) as f:
        for line in f:
            parts = line.split(',')
            if parts[0].strip() != 'ts':
                row = {'ts': datetime.fromtimestamp(float(parts[0].strip()) /
                    1000), 'user': parts[1].strip(), 'x_coordinate': int(
                    parts[2].strip()), 'y_coordinate': int(parts[3].strip()
                    ), 'color': parts[4].strip()}
                m.update('{0}{1}'.format(row['ts'], row['user']))
                doc_id = m.hexdigest()
                yield {'_op_type': 'index', '_index': 'tile_placements',
                    '_type': 'tile_placement', '_id': doc_id, 'doc': row}


if __name__ == '__main__':
    parser = OptionParser()
    parser.add_option('-f', '--file', help=
        'The path to the tile_placements.csv file.')
    options, args = parser.parse_args()
    if not options.file:
        parser.error('File not provided. -f is required.')
    deque(streaming_bulk(es, read(options.file), chunk_size=50000))

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logging.basicConfig(level=logging.INFO)
log = logging.getLogger(__name__)
es = Elasticsearch()


def read(path):
    """Read the CSV and yield actions."""
    m = md5.new()
    log.info('read: Reading file: %s', path)
    with open(path) as f:
        for line in f:
            parts = line.split(',')
            if parts[0].strip() != 'ts':
                row = {'ts': datetime.fromtimestamp(float(parts[0].strip()) /
                    1000), 'user': parts[1].strip(), 'x_coordinate': int(
                    parts[2].strip()), 'y_coordinate': int(parts[3].strip()
                    ), 'color': parts[4].strip()}
                m.update('{0}{1}'.format(row['ts'], row['user']))
                doc_id = m.hexdigest()
                yield {'_op_type': 'index', '_index': 'tile_placements',
                    '_type': 'tile_placement', '_id': doc_id, 'doc': row}


if __name__ == '__main__':
    parser = OptionParser()
    parser.add_option('-f', '--file', help=
        'The path to the tile_placements.csv file.')
    options, args = parser.parse_args()
    if not options.file:
        parser.error('File not provided. -f is required.')
    deque(streaming_bulk(es, read(options.file), chunk_size=50000))

<mask token>
import logging
import md5
from datetime import datetime
from collections import deque
from optparse import OptionParser
from elasticsearch import Elasticsearch
from elasticsearch.helpers import streaming_bulk
logging.basicConfig(level=logging.INFO)
log = logging.getLogger(__name__)
es = Elasticsearch()


def read(path):
    """Read the CSV and yield actions."""
    m = md5.new()
    log.info('read: Reading file: %s', path)
    with open(path) as f:
        for line in f:
            parts = line.split(',')
            if parts[0].strip() != 'ts':
                row = {'ts': datetime.fromtimestamp(float(parts[0].strip()) /
                    1000), 'user': parts[1].strip(), 'x_coordinate': int(
                    parts[2].strip()), 'y_coordinate': int(parts[3].strip()
                    ), 'color': parts[4].strip()}
                m.update('{0}{1}'.format(row['ts'], row['user']))
                doc_id = m.hexdigest()
                yield {'_op_type': 'index', '_index': 'tile_placements',
                    '_type': 'tile_placement', '_id': doc_id, 'doc': row}


if __name__ == '__main__':
    parser = OptionParser()
    parser.add_option('-f', '--file', help=
        'The path to the tile_placements.csv file.')
    options, args = parser.parse_args()
    if not options.file:
        parser.error('File not provided. -f is required.')
    deque(streaming_bulk(es, read(options.file), chunk_size=50000))

"""Load script to ingest title_placements.csv into Elasticsearch."""
import logging
import md5

from datetime import datetime
from collections import deque
from optparse import OptionParser
from elasticsearch import Elasticsearch
from elasticsearch.helpers import streaming_bulk

logging.basicConfig(level=logging.INFO)
log = logging.getLogger(__name__)

es = Elasticsearch()


def read(path):
    """Read the CSV and yield actions."""
    m = md5.new()
    log.info("read: Reading file: %s", path)
    with open(path) as f:
        for line in f:
            parts = line.split(",")
            if parts[0].strip() != "ts":
                row = {"ts": datetime.fromtimestamp(float(parts[0].strip()) / 1000),
                       "user": parts[1].strip(),
                       "x_coordinate": int(parts[2].strip()),
                       "y_coordinate": int(parts[3].strip()),
                       "color": parts[4].strip()
                      }
                m.update('{0}{1}'.format(row["ts"], row['user']))
                doc_id = m.hexdigest()
                yield {
                    '_op_type': 'index',
                    '_index': 'tile_placements',
                    '_type': 'tile_placement',
                    '_id': doc_id,
                    'doc': row}

if __name__ == "__main__":
    parser = OptionParser()
    parser.add_option("-f", "--file",
                      help="The path to the tile_placements.csv file.")
    (options, args) = parser.parse_args()

    if not options.file:
        parser.error("File not provided. -f is required.")
    deque(streaming_bulk(es, read(options.file), chunk_size=50000))
