def comparing_wh():
# this is similar to comparative analysis except the input also a WH site
# result will exclude the site itself
# note wdpaid is a string
wdpaid = request.args[0]
## WWF realm-biome combination
rb = dict()
# no need to run intersection
bids = ca.get_bids_by_wdpaid(wdpaid, ca.REALMBIOME)
# lookup needed
for bid in bids:
rb[ca.lookup_bid(bid, ca.REALMBIOME)] = \
[ca.div_wh_row(row) for row in ca.get_wh_rows_by_bid(bid, ca.REALMBIOME) if row.wdpaid!=int(wdpaid)]
## KBA
kba = dict()
bids = ca.get_bids_by_wdpaid(wdpaid, ca.KBA)
# lookup needed
for bid in bids:
kba[ca.lookup_bid(bid, ca.KBA)] = \
[ca.div_wh_row(row) for row in ca.get_wh_rows_by_bid(bid, ca.KBA) if row.wdpaid!=int(wdpaid)]
## HS
hs = dict()
bids = ca.get_bids_by_wdpaid(wdpaid, ca.HS)
for bid in bids:
hs[bid] = \
[ca.div_wh_row(row) for row in ca.get_wh_rows_by_bid(bid, ca.HS) if row.wdpaid!=int(wdpaid)]
return dict(rb=rb, kba=kba, hs=hs)
def comparative_analysis():
# this is the page showing the result of the comparative analysis
tempid = request.args[0]
## WWF realm-biome combination
rb = dict()
# run intersection
ca.run_intersection(tempid, ca.REALMBIOME)
bids = ca.get_bids_by_tempid(tempid, ca.REALMBIOME)
# lookup needed
for bid in bids:
rb[ca.lookup_bid(bid, ca.REALMBIOME)] = [ca.div_wh_row(row) for row in ca.get_wh_rows_by_bid(bid, ca.REALMBIOME)]
## KBA
kba = dict()
# run intersection
ca.run_intersection(tempid, ca.KBA)
bids = ca.get_bids_by_tempid(tempid, ca.KBA)
# lookup needed
for bid in bids:
kba[ca.lookup_bid(bid, ca.KBA)] = [ca.div_wh_row(row) for row in ca.get_wh_rows_by_bid(bid, ca.KBA)]
## HS
hs = dict()
# run intersection
ca.run_intersection(tempid, ca.HS)
bids = ca.get_bids_by_tempid(tempid, ca.HS)
for bid in bids:
hs[bid] = [ca.div_wh_row(row) for row in ca.get_wh_rows_by_bid(bid, ca.HS)]
return dict(rb=rb, hs=hs, kba=kba)
