Python get_label_collection Examples

Example #1

File: deploy_labels.py Project: AlgoREIT/census

import json
import sys

from boto.s3.connection import S3Connection
from boto.s3.key import Key

import config
import utils

if len(sys.argv) < 2:
    sys.exit('You must specify "staging" or "production" as an argument to this script.')

ENVIRONMENT = sys.argv[1]

collection = utils.get_label_collection()

row_count = 0
deployed = 0

c = S3Connection()
bucket = c.get_bucket(config.S3_BUCKETS[ENVIRONMENT])

for dataset in collection.find():
    row_count += 1

    del dataset['_id']

    print dataset['dataset']

    k = Key(bucket)

Example #2

File: tests_sf.py Project: AlgoREIT/census

 def setUp(self):
     self.labels = utils.get_label_collection()
     self.geographies = utils.get_geography_collection()

Example #3

 def setUp(self):
     self.labels = utils.get_label_collection()
     self.geographies = utils.get_geography_collection()

Example #4

def fetch_tables_and_labels():
    lc = utils.get_label_collection()
    return lc.find_one({'dataset': 'SF1'},fields=['tables'])['tables']

Example #5

File: deploy_labels.py Project: rdhyee/ireapps-census

import sys

from boto.s3.connection import S3Connection
from boto.s3.key import Key

import config
import utils

if len(sys.argv) < 2:
    sys.exit(
        'You must specify "staging" or "production" as an argument to this script.'
    )

ENVIRONMENT = sys.argv[1]

collection = utils.get_label_collection()

row_count = 0
deployed = 0

c = S3Connection()
bucket = c.get_bucket(config.S3_BUCKETS[ENVIRONMENT])

for dataset in collection.find():
    row_count += 1

    del dataset['_id']

    print dataset['dataset']

    k = Key(bucket)