dmcgrath

;                         function findItem() {                               ;
;                              var item                                       ;
;                        while(item_not_found) {                              ;
                              // search
;                                  }                                          ;
;                            return item                                      ;
;                                  }                                          ;

;                         var item = findItem()                               ;

dmcgrath

from google.cloud import firestore
from time import sleep

# Add a new document
db = firestore.Client()
doc_ref = db.collection(u'live_news').document(u'2019-01-31')

def pad_message(m):
    pad_size = len(m)
    return u'\u00A0'*pad_size + m + u'\u00A0'*(pad_size+1)

dmcgrath

# Create example call center data
# Each agent has their own subcollection of calls
# You can run this generator multiple times in parallel
from google.cloud import firestore
import random

# Default values create 5000 documents.
MAX_AGENTS = 100
MAX_CALLS = 50
MAX_RATING = 5

dmcgrath

# Query example call center data
# Demonstrates both collection queries and collection group queries
# Data generated via https://gist.github.com/dmcgrath/0c404b5f2f17f1383e4f14631e579783
from google.cloud import firestore

db = firestore.Client(project="<your project id here>")

review_calls = db.collection_group(u'calls').where(u'sample',u'<',5).limit(5)
call_docs = review_calls.get()
for call_doc in call_docs: