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Commit 3227f614 authored by hiphop's avatar hiphop
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single files splitting

parent 9152c5f7
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workflows/nlp/library.py
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......@@ -101,6 +101,7 @@ def nlp_totrtale2(input_dict, widget):
from xml.dom.minidom import parseString
import time
import math
import copy
progress_accumulator = 0
widget.progress= progress_accumulator
......@@ -108,19 +109,20 @@ def nlp_totrtale2(input_dict, widget):
processes = 4
DOCUMENTS_SIZE = 3 * int(1e6) #Document size (MB) per process
SINGLE_DOC_SIZE = 1* int(1e6)
corpus = parseString(input_dict['corpus'])
language = input_dict['lang'],
postprocess = input_dict['postprocess'] == "true"
bohoricica = input_dict['bohoricica'] == "true"
antique = input_dict['antique'] == "true"
xml = input_dict['xml'] == "true"
params = {"language": language,
"postprocess": postprocess,
"bohoricica":bohoricica,
"antique": antique,
"xml":xml}
tei_corpus = corpus.getElementsByTagName('teiCorpus')
if tei_corpus:
tei_head = '<?xml version="1.0" encoding="utf-8"?>\n' + \
......@@ -132,19 +134,57 @@ def nlp_totrtale2(input_dict, widget):
documents = corpus.getElementsByTagName('TEI')
documents_size, document_num, process_num = 0, 0, 1
results, docs = [], []
results, docs, single_docs = [], [], []
for i, document in enumerate(documents):
docs.append(document.toxml())
documents_size += len(document.getElementsByTagName('body')[0].getElementsByTagName('p')[0].childNodes[0].nodeValue)
document_num+=1
if documents_size > DOCUMENTS_SIZE or (document_num) % 10 == 0 or i == len(documents)-1:
#print "Log:",process_num, "process added to queue with", document_num, "documents"
documents_size = 0
document_num = 0
params["text"] = "\n".join(docs)
results.append(pool.apply_async(totrtale_request, args=[params]))
process_num += 1
docs = []
doc_len = len(document.getElementsByTagName('body')[0].getElementsByTagName('p')[0].childNodes[0].nodeValue)
if doc_len > SINGLE_DOC_SIZE:
print "document was split"
predhead = '<TEI xmlns="http://www.tei-c.org/ns/1.0">\n'
head = '<text>\n<body>\n<p>\n'
header = document.getElementsByTagName('teiHeader')[0].toxml() + "\n"
tail = '\n</p>\n</body>\n</text>\n</TEI>'
document_text = document.getElementsByTagName('body')[0].getElementsByTagName('p')[0].childNodes[0].nodeValue.strip().replace("&","&amp;").replace("<","&lt;").replace(">","&gt;").replace("\"","&quot;")
prev_j, curr_j = 0, SINGLE_DOC_SIZE
while (curr_j+2) < len(document_text):
while (curr_j+2) < len(document_text) and document_text[curr_j:curr_j+2] != ". ":
curr_j+=1
sub_params = copy.deepcopy(params)
sub_params["text"] = predhead + head + document_text[prev_j: curr_j+2] + tail
results.append(pool.apply_async(totrtale_request, args=[sub_params]))
if prev_j == 0:
single_docs.append(0)
else:
single_docs.append(1)
prev_j = curr_j+2
curr_j += SINGLE_DOC_SIZE
document_num+=1
process_num += 1
if curr_j > doc_len:
sub_params = copy.deepcopy(params)
sub_params["text"] = predhead + head + document_text[prev_j:] + tail
results.append(pool.apply_async(totrtale_request, args=[sub_params]))
document_num+=1
process_num += 1
single_docs.append(2)
else:
print "whole document was added"
docs.append(document.toxml())
document_num+=1
documents_size += doc_len
if documents_size > DOCUMENTS_SIZE or (document_num)%10 == 0 or i == len(documents)-1:
#print "Log:",process_num, "process added to queue with", document_num, "documents"
documents_size = 0
document_num = 0
sub_params = copy.deepcopy(params)
sub_params["text"] = "\n".join(docs)
results.append(pool.apply_async(totrtale_request, args=[sub_params]))
process_num += 1
docs = []
single_docs.append(-1)
pool.close()
response = ["" for i in results]
......@@ -153,15 +193,33 @@ def nlp_totrtale2(input_dict, widget):
while any(progress):
time.sleep(1)
progress = [not result.ready() for result in results]
print progress
for i, prog in enumerate(progress):
if not prog and response[i] == "":
resp=json.loads(results[i].get().content)[u'runToTrTaLeResponse'][u'runToTrTaLeResult']
if resp["error"] != "":
progress = [False]
raise Exception(resp["error"])
response[i] = resp["resp"]
if single_docs[i] == 0:
print "remove back", i
pos1 = resp["resp"].find("<s>")
pos2 = resp["resp"].find("</p>")
response[i] = predhead + header + head + resp["resp"][pos1:pos2]
elif single_docs[i] == 2:
print "remove front", i
pos1 = resp["resp"].find("<s>")
response[i] = resp["resp"][pos1:]
elif single_docs[i] == 1:
print "remove both", i
pos1 = resp["resp"].find("<s>")
pos2 = resp["resp"].find("</p>")
response[i] = resp["resp"][pos1:pos2]
else:
print "nothing to remove"
response[i] = resp["resp"]
progress_accumulator += 1/float(len(results))*100
#print "progress", progress_accumulator, math.floor(progress_accumulator)
widget.progress = math.floor(progress_accumulator)
widget.save()
......
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