def search_first_limited(text, limit):
limit = int(limit)
# researchers
indexrsr = get_data.loadIndexRsr(path)
rsr = get_data.searchIndex(indexrsr, text)
# projects
indexprj = get_data.loadIndexPrj(path)
prj = get_data.searchIndexLimited(indexprj, text, limit)
# lectures
indexlec = get_data.loadIndexLec(path)
lec = get_data.searchIndexLimited(indexlec, text, limit)
# researchers projects collaboration graph
graph = []
cache = get_data.getCache(get_data.tblRsrPrjGraphCache, text)
if len(cache) > 0:
graph = cache[0]['res']
else:
index = get_data.loadIndexRsr(path)
rsrs = get_data.searchIndex(index, text)
res = get_data.graphRsrPrj(path, rsrs)
get_data.tblRsrPrjGraphCache.insert({'query': text, 'res':res})
graph = res
# projects histogram
# hist = get_data.getPrjHistogram(prj)
# legislation
zakoni = get_data.searchAllZakoni()
# ods
indexods = get_data.loadIndexOds(path)
ods = get_data.searchIndexLimited(indexods, text, limit)
# sio
indexsio = get_data.loadIndexSio(path)
sio = get_data.searchIndexLimited(indexsio, text, limit)
# sio categories
sio_cat = get_data.getUniqSio()
# er
ernews = get_data.getERNewsRelated(text)
#ernews = get_data.getERNewsDefault()
# er general
ernews_general = get_data.getERNews()
# oer
indexoer = get_data.loadIndexOer(path)
oer = get_data.searchIndexLimited(indexoer, text, limit)
# keyws
keyws = get_data.getRelatedKeywsRelRsr(rsr)
return json.dumps({'keyws': keyws, 'oer': oer[0], 'oer_count':oer[1], 'ernews': ernews, 'ernews_general': ernews_general, 'sio': sio[0], 'sio_count':sio[1], 'sio_cat': sio_cat, 'ods': ods[0], 'ods_count':ods[1], 'zakoni': zakoni, 'rsr': rsr, 'rsr_count': len(rsr), 'prj':prj[0], 'prj_count':prj[1], 'lec':lec[0], 'lec_count':lec[1], 'graph':graph})
def rsr_prj_graph(text):
cache = get_data.getCache(get_data.tblRsrPrjGraphCache, text)
if len(cache) > 0:
return json.dumps(cache[0]['res'])
else:
index = get_data.loadIndexRsr(path)
rsrs = get_data.searchIndex(index, text)
res = get_data.graphRsrPrj(path, rsrs)
get_data.tblRsrPrjGraphCache.insert({'query': text, 'res':res})
return json.dumps(res)
def get_graph(text):
# researchers projects collaboration graph
graph = []
cache = get_data.getCache(get_data.tblRsrPrjGraphCache, text)
if len(cache) > 0:
graph = cache[0]['res']
else:
index = get_data.loadIndexRsr(path)
rsrs = get_data.searchIndex(index, text)
res = get_data.graphRsrPrj(path, rsrs)
get_data.tblRsrPrjGraphCache.insert({'query': text, 'res':res})
graph = res
return json.dumps({'graph':graph})
def search_class_rel_rsr(text):
index = get_data.loadIndexRsr(path)
rsrs = get_data.searchIndex(index, text)
res = get_data.getRelatedClassificationRelRsr(rsrs)
return json.dumps(res)
def search_keyws_rel_rsr(text):
index = get_data.loadIndexRsr(path)
rsrs = get_data.searchIndex(index, text)
res = get_data.getRelatedKeywsRelRsr(rsrs)
return json.dumps(res)
def search_lec(text):
print path
index = get_data.loadIndexLec(path)
res = get_data.searchIndex(index, text)
return json.dumps(res)
def search_org(text):
index = get_data.loadIndexOrg(path)
res = get_data.searchIndex(index, text)
return json.dumps(res)
def get_prj_hist(text):
indexprj = get_data.loadIndexPrj(path)
prj = get_data.searchIndex(indexprj, text)
hist = get_data.getPrjHistogram(prj)
return json.dumps(hist)
def get_ods(text):
index = get_data.loadIndexOds(path)
ods = get_data.searchIndex(index, text)
return json.dumps(ods)