def doit_talmud():
doc_list = []
doc_map = {}
for doc in tqdm(db_aspaklaria.aspaklaria_bad.find({"author":
'תלמוד בבלי'})):
key = "{}||{}".format(doc['topic'], doc['cnt'])
doc_list += [(doc['text'], key)]
doc_map[key] = doc
num_good = 0
results = disambiguate_ref_list("|".join(
library.get_indexes_in_category('Bavli')),
doc_list,
max_words_between=3,
min_words_in_match=4,
ngram_size=4,
verbose=True,
with_match_text=True)
for key, result in results.items():
if result is None:
continue
doc = doc_map[key]
pm_ref = result['A Ref']
doc['pm_ref'] = pm_ref
doc['solution'] = 'index derived pm'
doc['score'] = result['Score']
doc['match_text_sef'] = result['Match Text A']
doc['match_text_asp'] = result['Match Text B']
update_doc(doc, True)
delete_doc(doc, False)
num_good += 1
print("NUM GOOD {}".format(num_good))
def doit_pm_easy_again(num_divisions, position):
pm_index_map = defaultdict(list)
for doc in tqdm(db_aspaklaria.aspaklaria_bad.find({"issue":
"easy failed"})):
try:
oref = Ref(doc['pm_ref'])
except (KeyError, InputError):
print("{} | {}".format(doc['topic'], doc['cnt']))
continue
#pm_index_map[doc['pm_ref']] += [doc]
pm_index_map[oref.index.title] += [doc]
count = 0
total = len(pm_index_map.items())
start = total / num_divisions * position
end = total if (position == num_divisions -
1) else (start +
total / num_divisions) # ad v'lo ad b'chlal
for idoc, (index, doc_list) in tqdm(list(enumerate(pm_index_map.items())),
leave=False,
smoothing=0):
if start > count or count >= end:
count += 1
continue
count += 1
doc_map = {
"{}||{}".format(doc['topic'], doc['cnt']): doc
for doc in doc_list
}
try:
print("DISAMBIGUATING {} TOTAL {} ({}/{})".format(
index, len(doc_list), idoc, len(pm_index_map)))
results = disambiguate_ref_list(
index,
[(doc['text'], "{}||{}".format(doc['topic'], doc['cnt']))
for doc in doc_list],
max_words_between=3,
min_words_in_match=4,
ngram_size=4,
verbose=False,
with_match_text=True)
good_count = 0
for key, result in results.items():
doc = doc_map[key]
if result is None:
doc['issue'] = 'easy failed again'
delete_doc(doc, True)
update_doc(doc, False)
else:
pm_ref = result['A Ref']
doc['pm_ref'] = pm_ref
doc['solution'] = 'easy pm verified after fail'
doc['score'] = result['Score']
doc['match_text_sef'] = result['Match Text A']
doc['match_text_asp'] = result['Match Text B']
delete_doc(doc, False)
update_doc(doc, True)
good_count += 1
print("Found {}/{} in {}".format(good_count, len(doc_list), index))
except AttributeError as e:
print("ATTRIBUTE ERROR!!")
def doit_rashi():
for doc in tqdm(db_aspaklaria.aspaklaria_bad.find({"author": 'רש"י'})):
if doc.get("ref", ""):
key = "{}||{}".format(doc['topic'], doc['cnt'])
tref = 'Rashi on ' + doc['ref'] if 'Rashi' not in doc[
'ref'] else doc['ref']
try:
results = disambiguate_ref_list(tref, [(doc['text'], key)],
verbose=True,
with_match_text=True)
except InputError:
continue
result = results[key]
if result is None:
continue
pm_ref = result['A Ref']
doc['pm_ref'] = pm_ref
doc['solution'] = 'index derived pm'
doc['score'] = result['Score']
doc['match_text_sef'] = result['Match Text A']
doc['match_text_asp'] = result['Match Text B']
update_doc(doc, True)
delete_doc(doc, False)
else:
print("{} | {}".format(doc['topic'], doc['cnt']))
def doit_author_mapper(num_divisions, position):
author_mapping = {
"שוחר טוב": ["Midrash Tehillim"],
"עקדה": ["Akeidat Yitzchak"],
'מוהר"ן': ["Likutei Moharan"],
"ברייתא דמלאכת המשכן": ["Otzar Midrashim"] + library.get_indexes_in_category('Midrash Rabbah'),
"דרשים": ["Otzar Midrashim"] + library.get_indexes_in_category('Midrash Rabbah'),
"מדרשים": ["Otzar Midrashim"] + library.get_indexes_in_category('Midrash Rabbah'),
"הראקנטי": ["Recanati on the Torah"],
"הריקאנטי": ["Recanati on the Torah"],
"הרקאנטי": ["Recanati on the Torah"],
'של"ה': ["Shenei Luchot HaBerit"],
'דרשות הר"ן': ["Darashos HaRan"],
"אור ה'": ["Ohr Hashem"],
"ר' צדוק": library.get_indexes_in_category("R' Tzadok HaKohen"),
"תנך": library.get_indexes_in_category('Tanakh'),
"מדרש רבה": library.get_indexes_in_category('Midrash Rabbah'),
'רד"ק': ['Radak on Genesis', 'Radak on Joshua', 'Radak on Judges', 'Radak on I Samuel', 'Radak on II Samuel', 'Radak on I Kings', 'Radak on II Kings', 'Radak on Isaiah', 'Radak on Jeremiah', 'Radak on Ezekiel', 'Radak on Hosea', 'Radak on Joel', 'Radak on Amos', 'Radak on Obadiah', 'Radak on Jonah', 'Radak on Micah', 'Radak on Nahum', 'Radak on Habakkuk', 'Radak on Zephaniah', 'Radak on Haggai', 'Radak on Zechariah', 'Radak on Malachi', 'Radak on Psalms', 'Radak on I Chronicles', 'Radak on II Chronicles'],
'רש"י': ['Rashi on Genesis', 'Rashi on Exodus', 'Rashi on Leviticus', 'Rashi on Numbers', 'Rashi on Deuteronomy', 'Rashi on Joshua', 'Rashi on Judges', 'Rashi on I Samuel', 'Rashi on II Samuel', 'Rashi on I Kings', 'Rashi on II Kings', 'Rashi on Isaiah', 'Rashi on Jeremiah', 'Rashi on Ezekiel', 'Rashi on Hosea', 'Rashi on Joel', 'Rashi on Amos', 'Rashi on Obadiah', 'Rashi on Jonah', 'Rashi on Micah', 'Rashi on Nahum', 'Rashi on Habakkuk', 'Rashi on Zephaniah', 'Rashi on Haggai', 'Rashi on Zechariah', 'Rashi on Malachi', 'Rashi on Psalms', 'Rashi on Proverbs', 'Rashi on Job', 'Rashi on Song of Songs', 'Rashi on Ruth', 'Rashi on Lamentations', 'Rashi on Ecclesiastes', 'Rashi on Esther', 'Rashi on Daniel', 'Rashi on Ezra', 'Rashi on Nehemiah', 'Rashi on I Chronicles', 'Rashi on II Chronicles'],
"כלי יקר": ["Or HaChaim on Genesis", "Or HaChaim on Exodus", "Or HaChaim on Leviticus", "Or HaChaim on Numbers", "Or HaChaim on Deuteronomy"],
"תלמוד בבלי": library.get_indexes_in_category('Bavli')
}
pm_index_map = defaultdict(list)
for doc in tqdm(db_aspaklaria.aspaklaria_bad.find()):
if doc['author'] in author_mapping:
pm_index_map["|".join(author_mapping[doc['author']])] += [doc]
count = 0
total = len(pm_index_map.items())
start = total/num_divisions * position
end = total if position == num_divisions - 1 else start + total/num_divisions # ad v'lo ad b'chlal
for idoc, (index, doc_list) in tqdm(enumerate(pm_index_map.items()), leave=False, smoothing=0):
if start > count or count >= end:
count += 1
continue
count += 1
doc_map = {
"{}||{}".format(doc['topic'], doc['cnt']): doc for doc in doc_list
}
try:
print("DISAMBIGUATING {} TOTAL {} ({}/{})".format(index, len(doc_list), idoc, len(pm_index_map)))
results = disambiguate_ref_list(index, [(doc['text'], "{}||{}".format(doc['topic'], doc['cnt'])) for doc in doc_list], max_words_between=3, min_words_in_match=5, ngram_size=5, verbose=True, with_match_text=True)
good_count = 0
for key, result in results.items():
doc = doc_map[key]
if result is None:
doc['issue'] = 'index derived pm failed'
update_doc(doc, False)
else:
pm_ref = result['A Ref']
doc['pm_ref'] = pm_ref
doc['solution'] = 'index derived pm'
doc['score'] = result['Score']
doc['match_text_sef'] = result['Match Text A']
doc['match_text_asp'] = result['Match Text B']
update_doc(doc, True)
good_count += 1
print("Found {}/{} in {}".format(good_count, len(doc_list), index))
except AttributeError as e:
print("ATTRIBUTE ERROR!!")
def doit_ellipses(num_divisions, position):
pm_index_map = defaultdict(list)
for doc in tqdm(
db_aspaklaria.aspaklaria_good.find(
{"text": re.compile(r"[א-ת]\s*\.\.\.\s*[א-ת]")})):
try:
oref = Ref(doc['pm_ref'])
except (KeyError, InputError):
print("{} | {}".format(doc['topic'], doc['cnt']))
continue
if oref.primary_category in {"Talmud", "Tanakh"}:
prev_section = oref.prev_section_ref()
next_section = oref.next_section_ref()
start_ref = prev_section if prev_section is not None else oref.section_ref(
)
end_ref = next_section if next_section is not None else oref.section_ref(
)
search_ref = start_ref.to(end_ref)
else:
search_ref = oref.section_ref()
pm_index_map[search_ref.normal()] += [doc]
count = 0
total = len(pm_index_map.items())
start = total / num_divisions * position
end = total if position == num_divisions - 1 else start + total / num_divisions # ad v'lo ad b'chlal
for idoc, (index, doc_list) in tqdm(enumerate(pm_index_map.items()),
leave=False,
smoothing=0):
if start > count or count >= end:
count += 1
continue
count += 1
doc_map = {
"{}||{}".format(doc['topic'], doc['cnt']): doc
for doc in doc_list
}
try:
print("DISAMBIGUATING {} TOTAL {} ({}/{})".format(
index, len(doc_list), idoc, len(pm_index_map)))
pm_input = []
for doc in doc_list:
ellipses = [
x.strip() for x in doc['text'].split('...')
if len(x.strip()) > 0
]
if len(ellipses) < 2:
print('NOT ENOUGH ELLIPSES FOR {} | {}'.format(
doc['topic'], doc['cnt']))
continue
pm_input += [
(ellipses[0], "{}||{}||A".format(doc['topic'],
doc['cnt'])),
(ellipses[-1], "{}||{}||B".format(doc['topic'],
doc['cnt']))
]
results = disambiguate_ref_list(index,
pm_input,
max_words_between=3,
min_words_in_match=4,
ngram_size=4,
verbose=True,
with_match_text=True)
good_count = 0
sorted_items = sorted(results.items(), key=lambda x: x[0])
for ikey, (key, resultA) in list(enumerate(sorted_items))[::2]:
resultB = sorted_items[ikey + 1][1]
doc = doc_map[re.sub(r"\|\|A$", "", key)]
if resultA is None or resultB is None:
doc['issue'] = 'easy index derived pm failed'
update_doc(doc, False)
delete_doc(doc, True)
else:
try:
pm_ref = Ref(resultA['A Ref']).to(Ref(
resultB['A Ref'])).normal()
except InputError:
print("INPUT ERROR AFTER RESULT {} {}".format(
resultA['A Ref'], resultB['A Ref']))
continue
doc['pm_ref'] = pm_ref
doc['solution'] = 'easy index derived pm'
doc['score'] = resultA['Score']
doc['match_text_sef'] = "{} ... {}".format(
resultA['Match Text A'], resultB['Match Text A'])
doc['match_text_asp'] = "{} ... {}".format(
resultA['Match Text B'], resultB['Match Text B'])
update_doc(doc, True)
good_count += 1
print("Found {}/{} in {}".format(good_count, len(doc_list), index))
except AttributeError as e:
print("ATTRIBUTE ERROR!!")
def doit(num_divisions, position):
prev_good_id_set = {}
for doc in db_aspaklaria.aspaklaria_good.find():
prev_good_id_set[(doc['topic'], doc['cnt'])] = doc
good = []
bad = []
num_pmed = 0
num_nonexistant = 0
total = 0
index_guess_set = defaultdict(lambda: {"count": 0, "examples": []})
curr_author = None
prev_doc = None
pm_index_map = defaultdict(list)
for doc in tqdm(db_aspaklaria.aspaklaria_source.find(),
leave=False,
smoothing=0):
total += 1
if doc["author"] in NONEXISTANT_BOOKS:
num_nonexistant += 1
if doc["author"] != curr_author:
curr_author = doc["author"]
prev_doc = None
if not doc.get('is_sham', False):
prev_doc = None
key = (doc['topic'], doc['cnt'])
prev_good = prev_good_id_set.get(key, None)
if prev_good is not None and prev_good.get(
"pm_ref",
"") is not None and len(prev_good.get("pm_ref", "")) > 0:
doc['solution'] = prev_good['solution']
try:
doc['index'] = prev_good['index']
except KeyError as e:
print("{} {} {}".format(prev_good['topic'], prev_good['cnt'],
prev_good['pm_ref']))
doc['pm_ref'] = prev_good['pm_ref']
good += [doc]
continue
# elif prev_bad is not None:
# if prev_bad['issue'] == 'index derived':
# pm_index_map[prev_bad['index']] += [prev_bad]
# else:
# doc['issue'] = prev_bad['issue']
# bad += [doc]
# continue
if doc.get("pm_ref",
"") is not None and len(doc.get("pm_ref", "")) > 0:
# assume this is fine
doc['solution'] = 'easy'
update_doc(doc, True)
prev_doc = doc
continue
elif len(doc.get("ref", "")) > 0 and False:
prev_doc = doc
pm_index_map[doc['ref']] += [doc]
elif doc.get('is_sham', False) and len(doc.get(
"index", "")) == 0 and prev_doc is not None:
doc['issue'] = "index derived"
doc['index'] = prev_doc['index']
doc['prev_raw_ref'] = prev_doc['raw_ref']
doc['prev_ref'] = prev_doc.get("ref", "")
doc['prev_author'] = prev_doc['author']
pm_index_map[doc['index']] += [doc]
elif doc.get('index_guess', '') is not None and len(
doc.get('index_guess', '')) > 0 and len(
doc.get('index_guess', '').split(' |')) > 0:
indexes = "|".join([
x for x in doc.get('index_guess', '').split(' |') if len(x) > 0
])
if "Introductions to the Babylonian Talmud" in indexes and "Jerusalem Talmud" in indexes:
# there was an error generating these indexes. generate again
indexes = "|".join(
library.get_indexes_in_category("Yerushalmi"))
if "Mishneh Torah" in indexes and "Kessef Mishneh" in indexes and "Hasagot HaRaavad on Mishneh Torah" in indexes:
indexes = "|".join(
library.get_indexes_in_category("Mishneh Torah"))
if len(indexes.split("|")) > 200:
print("TOO MANY INDEXES!! {} {} {}".format(
doc['topic'], doc['cnt'], doc['index_guess']))
continue
pm_index_map[indexes] += [doc]
else:
doc['issue'] = "unknown"
update_doc(doc, False)
# inds = tuple(doc["index_guess"].split(" |"))
# index_guess_set[inds]["count"] += 1
# index_guess_set[inds]["examples"] += [{"t": doc["topic"], "c": doc["cnt"], "a": doc["author"], "r": doc["raw_ref"]}]
count = 0
total = len(pm_index_map.items())
start = total / num_divisions * position
end = total if position == num_divisions - 1 else start + total / num_divisions # ad v'lo ad b'chlal
for idoc, (index, doc_list) in tqdm(enumerate(pm_index_map.items()),
leave=False,
smoothing=0):
if start > count or count >= end:
count += 1
continue
count += 1
doc_map = {
"{}||{}".format(doc['topic'], doc['cnt']): doc
for doc in doc_list
}
try:
print("DISAMBIGUATING {} TOTAL {} ({}/{})".format(
index, len(doc_list), idoc, len(pm_index_map)))
results = disambiguate_ref_list(
index,
[(doc['text'], "{}||{}".format(doc['topic'], doc['cnt']))
for doc in doc_list],
max_words_between=3,
min_words_in_match=5,
ngram_size=5,
verbose=True,
with_match_text=True)
good_count = 0
for key, result in results.items():
doc = doc_map[key]
if result is None:
doc['issue'] = 'index derived pm failed'
update_doc(doc, False)
else:
pm_ref = result['A Ref']
doc['pm_ref'] = pm_ref
doc['solution'] = 'index derived pm'
doc['score'] = result['Score']
doc['match_text_sef'] = result['Match Text A']
doc['match_text_asp'] = result['Match Text B']
update_doc(doc, True)
good_count += 1
print("Found {}/{} in {}".format(good_count, len(doc_list), index))
except AttributeError as e:
print("ATTRIBUTE ERROR!!")
if prev_doc['issue'] == 'index derived':
pm_index_map[prev_doc['index']] += [prev_doc]
else:
doc['issue'] = prev_doc['issue']
bad += [doc]
continue
if doc.get("pm_ref", "") is not None and len(doc.get("pm_ref", "")) > 0:
# assume this is fine
doc['solution'] = 'easy'
good += [doc]
prev_doc = doc
continue
elif len(doc.get("ref", "")) > 0:
prev_doc = doc
try:
results = disambiguate_ref_list(doc['ref'], [(doc['text'], '0')])
except AttributeError as e:
print doc['ref']
doc['issue'] = 'attribute error'
bad += [doc]
continue
pm_ref = results['0']['A Ref'] if results['0'] else results['0']
if pm_ref:
num_pmed += 1
doc['pm_ref'] = pm_ref
doc['solution'] = "pm again"
good += [doc]
else:
doc['issue'] = 'pm failed twice'
bad += [doc]
elif doc.get('is_sham', False) and len(doc.get(