def _poll_vq_single(self, dname, use_devmode, ddresp):
"""
Initiate a view query for a view located in a design document
:param ddresp: The design document to poll (as JSON)
:return: True if successful, False if no views.
"""
vname = None
query = None
v_mr = ddresp.get('views', {})
v_spatial = ddresp.get('spatial', {})
if v_mr:
vname = single_dict_key(v_mr)
query = Query()
elif v_spatial:
vname = single_dict_key(v_spatial)
query = SpatialQuery()
if not vname:
return False
query.stale = STALE_OK
query.limit = 1
for r in self._cb.query(dname,
vname,
use_devmode=use_devmode,
query=query):
pass
return True
def show_customer(customer):
doc = db.get(customer, quiet=True)
if not doc.success:
return "No such customer {0}".format(customer), 404
obj = CustomerRow(name=doc.value['name'], value=None, id=customer, doc=doc.value)
rp = Node_SnapshotListRowProcessor()
q = Query()
q.mapkey_single = customer
q.limit = ENTRIES_PER_PAGE
log_rows = db.query("node_snapshot", "by_customer",
row_processor=rp,
query=q,
include_docs=True)
logs = []
for log in log_rows:
logs.append({'id' : log.id,
'name' : log.name})
rp = RowProcessor(rowclass=CustomerRow)
cluster_rows = db.query("cluster", "by_customer",
row_processor=rp,
query=q,
include_docs=True)
clusters = []
for cluster in cluster_rows:
clusters.append({'id' : cluster.id,
'name' : cluster.name})
return render_template('/customer/show.html', customer=obj, logs=logs, clusters=clusters)
def _poll_vq_single(self, dname, use_devmode, ddresp):
"""
Initiate a view query for a view located in a design document
:param ddresp: The design document to poll (as JSON)
:return: True if successful, False if no views.
"""
vname = None
query = None
v_mr = ddresp.get('views', {})
v_spatial = ddresp.get('spatial', {})
if v_mr:
vname = single_dict_key(v_mr)
query = Query()
elif v_spatial:
vname = single_dict_key(v_spatial)
query = SpatialQuery()
if not vname:
return False
query.stale = STALE_OK
query.limit = 1
for r in self._cb.query(dname, vname, use_devmode=use_devmode,
query=query):
pass
return True
def getAllFactors():
q = Query()
q.limit = 1
rows = c.query("dev_factor", "all", query=q)
result = list()
print rows
for row in rows:
result.append(row.key)
return json.dumps(result)
def brewery_search():
value = request.args.get('value')
q = Query()
q.mapkey_range = [value, value + Query.STRING_RANGE_END]
q.limit = ENTRIES_PER_PAGE
ret = []
rp = BreweryRowProcessor()
res = db.query("brewery", "by_name",
row_processor=rp, query=q, include_docs=True)
for brewery in res:
ret.append({'id' : brewery.id,
'name' : brewery.name})
return return_search_json(ret)
def beer_search():
value = request.args.get('value')
q = Query()
q.mapkey_range = [value, value + Query.STRING_RANGE_END]
q.limit = ENTRIES_PER_PAGE
ret = []
res = db.query("beer", "by_name", row_processor=BeerRowProcessor(),
query=q, include_docs=True)
for beer in res:
ret.append({'id' : beer.id,
'name' : beer.name,
'brewery' : beer.brewery_id})
return return_search_json(ret)
def customer_search():
value = request.args.get('value')
q = Query()
q.mapkey_range = [value, value + Query.STRING_RANGE_END]
q.limit = ENTRIES_PER_PAGE
ret = []
rp = RowProcessor(rowclass=CustomerRow)
res = db.query("customer", "by_name",
row_processor=rp,
query=q,
include_docs=True)
for customer in res:
print customer
ret.append({'id' : customer.id,
'name' : customer.name})
return return_search_json(ret)
def log_search():
value = request.args.get('value')
q = Query()
q.mapkey_range = [value, value + Query.STRING_RANGE_END]
q.limit = ENTRIES_PER_PAGE
ret = []
rp = Node_SnapshotListRowProcessor()
res = db.query("node_snapshot", "by_name",
row_processor=rp,
query=q,
include_docs=True)
for log in res:
ret.append({'id' : log.id,
'name' : log.name,
'customer' : log.customer_id})
return return_search_json(ret)
