def diffAlign(s1, s2):
matching = matching_blocks(
editops(s1, s2), s1, s2)
s1 = [c for c in s1]
s2 = [c for c in s2]
s1n = []
s2n = []
popped1, added1 = 0, 0
popped2, added2 = 0, 0
for mb in matching:
index1 = mb[0]
index2 = mb[1]
# Controllo allineamento indici
while(popped1 < index1):
s1n.append(s1.pop(0))
popped1 += 1
while(popped2 < index2):
s2n.append(s2.pop(0))
popped2 += 1
while(len(s1n) < len(s2n)):
s1n.append("$")
added1 += 1
while(len(s2n) < len(s1n)):
s2n.append("$")
added2 += 1
seqLen = mb[2]
for i in range(seqLen):
s1n.append(s1.pop(0))
s2n.append(s2.pop(0))
popped1, popped2 = popped1 + 1, popped2 + 1
s1n = "".join(s1n)
s2n = "".join(s2n)
return s1n, s2n
def extractPair(correctw, incorrectw):
matching = matching_blocks(editops(correctw, incorrectw), correctw,
incorrectw)
correctw = [c for c in correctw]
incorrectw = [c for c in incorrectw]
for mb in matching:
for i in range(mb[0], mb[0] + mb[2], 1):
correctw[i] = None
for i in range(mb[1], mb[1] + mb[2], 1):
incorrectw[i] = None
correctw = "".join([c for c in correctw if c])
incorrectw = "".join([c for c in incorrectw if c])
return (correctw, incorrectw)
def get_matching_blocks(self):
if not self._matching_blocks:
self._matching_blocks = matching_blocks(self.get_opcodes(),
self._str1, self._str2)
return self._matching_blocks
def lcs(s1, s2):
z = matching_blocks(editops(s1, s2),s1, s2)
return np.max(list(zip(*z))[2])
def main():
parser = argparse.ArgumentParser()
parser.add_argument("title_file", help=ARG_HELP_STRINGS["title_file"])
parser.add_argument("-m",
"--match_threshold",
type=float,
default=0.9,
help=ARG_HELP_STRINGS["match_threshold"])
parser.add_argument("-a",
"--ask_threshold",
type=float,
default=0.8,
help=ARG_HELP_STRINGS["ask_threshold"])
parser.add_argument("-c",
"--colors",
type=bool,
default=COLORS_DEFAULT,
help=ARG_HELP_STRINGS["ansi_colors"])
parser.add_argument("--start",
type=int,
default=0,
help=ARG_HELP_STRINGS["start"])
parser.add_argument("--end",
type=int,
default=inf,
help=ARG_HELP_STRINGS["end"])
args = parser.parse_args()
header = None
additional_fields = ["doi", "similarity"]
with open(args.title_file, "r") as f:
reader = csv.DictReader(f)
title_field = None
for field in reader.fieldnames:
if field.lower() in TITLE_HEADER_WL:
print(
colorise("Using column '" + field + "' as title column",
"green"))
title_field = field
break
else:
print(
colorise(
"ERROR: Could not find a column name which might denote a title column",
"red"))
sys.exit()
header = reader.fieldnames
for field in additional_fields:
if field not in header:
header.append(field)
modified_lines = []
ask_count = 0
for line in reader:
line["ask"] = False
if reader.line_num < args.start or reader.line_num > args.end:
continue
print(BREAK)
title = line[title_field]
head = "line " + str(reader.line_num) + ", query title:"
print(colorise(head.ljust(L_JUST) + "'" + title + "'", "blue"))
ret = crossref_query_title(title)
retries = 0
while not ret['success'] and retries < MAX_RETRIES_ON_ERROR:
retries += 1
msg = "Error while querying CrossRef API ({}), retrying ({})...".format(
ret["exception"], retries)
print(colorise(msg, "red"))
ret = crossref_query_title(title)
result = ret["result"]
msg_tail = "'{}' [{}]"
msg_tail = msg_tail.format(result["crossref_title"], result["doi"])
if result["similarity"] == 1.0:
msg_head = "Perfect match found ({}):"
msg_head = msg_head.format(round(result["similarity"],
2)).ljust(L_JUST)
print(colorise(msg_head + msg_tail, "cyan"))
line.update(result)
line["ask"] = False
elif result["similarity"] >= args.match_threshold:
msg_head = "Good match found ({}):"
msg_head = msg_head.format(round(result["similarity"],
2)).ljust(L_JUST)
print(colorise(msg_head + msg_tail, "green"))
line.update(result)
line["ask"] = False
elif result["similarity"] >= args.ask_threshold:
msg_head = "Possible match found ({}):"
msg_head = msg_head.format(round(result["similarity"],
2)).ljust(L_JUST)
print(colorise(msg_head + msg_tail, "yellow"))
line.update(result)
line["line_num"] = reader.line_num
line["ask"] = True
ask_count += 1
else:
msg_head = "No match found, most similar was ({}):"
msg_head = msg_head.format(round(result["similarity"],
2)).ljust(L_JUST)
print(colorise(msg_head + msg_tail, "red"))
line.update(EMPTY_RESULT)
line["ask"] = False
modified_lines.append(line)
if ask_count > 0:
print(BREAK)
ask_msg = "{} matches found with a similarity between {} and {} will need manual confirmation:"
ask_msg = ask_msg.format(ask_count, args.ask_threshold,
args.match_threshold)
print(colorise(ask_msg, "green"))
for line in modified_lines:
if line["ask"]:
print(BREAK)
query_t = line[title_field]
xref_t = line["crossref_title"]
# display matching segments in identical colors for easier recognition
diff = matching_blocks(
editops(query_t.lower(), xref_t.lower()), query_t, xref_t)
query_print = query_t
xref_print = xref_t
# ANSI codes increase string length, so we need an offset to compensate
offset = 0
for i in range(len(diff)):
a, b, c = diff[i]
a += offset
b += offset
offset += 9
color = CMP_COLORS[i % len(CMP_COLORS)]
query_print = colorise_text_segment(
query_print, a, a + c, color)
xref_print = colorise_text_segment(xref_print, b, b + c,
color)
query_head = colorise(
"line {}, query title:".format(line["line_num"]), "blue")
xref_head = colorise(
"Possible match ({}):".format(round(line["similarity"],
2)), "yellow")
print(query_head.ljust(L_JUST) + query_print)
print(xref_head.ljust(L_JUST) + xref_print)
answer = input(
"Do you want to accept the DOI for the match title? (y/n):"
)
while answer not in ["y", "n"]:
answer = input("Please type 'y' or 'n':")
if answer == "n":
line.update(EMPTY_RESULT)
with open("out.csv", "w") as out:
dialect = csv.excel
dialect.quoting = csv.QUOTE_ALL
writer = csv.DictWriter(out,
header,
extrasaction='ignore',
dialect=dialect)
writer.writeheader()
writer.writerows(modified_lines)
def main():
parser = argparse.ArgumentParser()
parser.add_argument("title_file", help=ARG_HELP_STRINGS["title_file"])
parser.add_argument("-m", "--match_threshold", type=float, default=0.9, help=ARG_HELP_STRINGS["match_threshold"])
parser.add_argument("-a", "--ask_threshold", type=float, default=0.8, help=ARG_HELP_STRINGS["ask_threshold"])
parser.add_argument("-c", "--colors", type=bool, default=COLORS_DEFAULT, help=ARG_HELP_STRINGS["ansi_colors"])
parser.add_argument("--start", type=int, default=0, help=ARG_HELP_STRINGS["start"])
parser.add_argument("--end", type=int, default=inf, help=ARG_HELP_STRINGS["end"])
args = parser.parse_args()
header = None
additional_fields = ["doi", "similarity"]
with open(args.title_file, "r") as f:
reader = csv.DictReader(f)
title_field = None
for field in reader.fieldnames:
if field.lower() in TITLE_HEADER_WL:
print(colorise("Using column '" + field + "' as title column", "green"))
title_field = field
break
else:
print(colorise("ERROR: Could not find a column name which might denote a title column", "red"))
sys.exit()
header = reader.fieldnames
for field in additional_fields:
if field not in header:
header.append(field)
modified_lines = []
ask_count = 0
for line in reader:
line["ask"] = False
if reader.line_num < args.start or reader.line_num > args.end:
continue
print(BREAK)
title = line[title_field]
head = "line " + str(reader.line_num) + ", query title:"
print(colorise(head.ljust(L_JUST) + "'" + title + "'", "blue"))
ret = crossref_query_title(title)
retries = 0
while not ret['success'] and retries < MAX_RETRIES_ON_ERROR:
retries += 1
msg = "Error while querying CrossRef API ({}), retrying ({})...".format(ret["exception"], retries)
print(colorise(msg, "red"))
ret = crossref_query_title(title)
result = ret["result"]
msg_tail = "'{}' [{}]"
msg_tail = msg_tail.format(result["crossref_title"], result["doi"])
if result["similarity"] == 1.0:
msg_head = "Perfect match found ({}):"
msg_head = msg_head.format(round(result["similarity"], 2)).ljust(L_JUST)
print(colorise(msg_head + msg_tail, "cyan"))
line.update(result)
line["ask"] = False
elif result["similarity"] >= args.match_threshold:
msg_head = "Good match found ({}):"
msg_head = msg_head.format(round(result["similarity"], 2)).ljust(L_JUST)
print(colorise(msg_head + msg_tail, "green"))
line.update(result)
line["ask"] = False
elif result["similarity"] >= args.ask_threshold:
msg_head = "Possible match found ({}):"
msg_head = msg_head.format(round(result["similarity"], 2)).ljust(L_JUST)
print(colorise(msg_head + msg_tail, "yellow"))
line.update(result)
line["line_num"] = reader.line_num
line["ask"] = True
ask_count += 1
else:
msg_head = "No match found, most similar was ({}):"
msg_head = msg_head.format(round(result["similarity"], 2)).ljust(L_JUST)
print(colorise(msg_head + msg_tail, "red"))
line.update(EMPTY_RESULT)
line["ask"] = False
modified_lines.append(line)
if ask_count > 0:
print(BREAK)
ask_msg = "{} matches found with a similarity between {} and {} will need manual confirmation:"
ask_msg = ask_msg.format(ask_count, args.ask_threshold, args.match_threshold)
print(colorise(ask_msg, "green"))
for line in modified_lines:
if line["ask"]:
print(BREAK)
query_t = line[title_field]
xref_t = line["crossref_title"]
# display matching segments in identical colors for easier recognition
diff = matching_blocks(editops(query_t.lower(), xref_t.lower()), query_t, xref_t)
query_print = query_t
xref_print = xref_t
# ANSI codes increase string length, so we need an offset to compensate
offset = 0
for i in range(len(diff)):
a, b, c = diff[i]
a += offset
b += offset
offset += 9
color = CMP_COLORS[i % len(CMP_COLORS)]
query_print = colorise_text_segment(query_print, a, a + c , color)
xref_print = colorise_text_segment(xref_print, b, b + c , color)
query_head = colorise("line {}, query title:".format(line["line_num"]), "blue")
xref_head = colorise("Possible match ({}):".format(round(line["similarity"], 2)), "yellow")
print(query_head.ljust(L_JUST) + query_print)
print(xref_head.ljust(L_JUST) + xref_print)
answer = input("Do you want to accept the DOI for the match title? (y/n):")
while answer not in ["y", "n"]:
answer = input("Please type 'y' or 'n':")
if answer == "n":
line.update(EMPTY_RESULT)
with open("out.csv", "w") as out:
dialect = csv.excel
dialect.quoting = csv.QUOTE_ALL
writer = csv.DictWriter(out, header, extrasaction='ignore', dialect=dialect)
writer.writeheader()
writer.writerows(modified_lines)
def _get_matching_blocks(query, text):
return matching_blocks(editops(query, text), query, text)