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from __future__ import with_statement
import random, time, threading
import pytest
from whoosh import analysis, fields, query, writing
from whoosh.compat import b, u, xrange, text_type
from whoosh.filedb.filestore import RamStorage
from whoosh.util.testing import TempIndex
def test_no_stored():
schema = fields.Schema(id=fields.ID, text=fields.TEXT)
with TempIndex(schema, "nostored") as ix:
domain = (u"alfa", u"bravo", u"charlie", u"delta", u"echo",
u"foxtrot", u"golf", u"hotel", u"india")
w = ix.writer()
for i in xrange(20):
w.add_document(id=text_type(i),
text=u" ".join(random.sample(domain, 5)))
w.commit()
with ix.reader() as r:
assert sorted([int(id) for id in r.lexicon("id")]) == list(range(20))
def test_asyncwriter():
schema = fields.Schema(id=fields.ID(stored=True), text=fields.TEXT)
with TempIndex(schema, "asyncwriter") as ix:
domain = (u"alfa", u"bravo", u"charlie", u"delta", u"echo",
u"foxtrot", u"golf", u"hotel", u"india")
writers = []
# Simulate doing 20 (near-)simultaneous commits. If we weren't using
# AsyncWriter, at least some of these would fail because the first
# writer wouldn't be finished yet.
for i in xrange(20):
w = writing.AsyncWriter(ix)
writers.append(w)
w.add_document(id=text_type(i),
text=u" ".join(random.sample(domain, 5)))
w.commit()
# Wait for all writers to finish before checking the results
for w in writers:
if w.running:
w.join()
# Check whether all documents made it into the index.
with ix.reader() as r:
assert sorted([int(id) for id in r.lexicon("id")]) == list(range(20))
def test_asyncwriter_no_stored():
schema = fields.Schema(id=fields.ID, text=fields.TEXT)
with TempIndex(schema, "asyncnostored") as ix:
domain = (u"alfa", u"bravo", u"charlie", u"delta", u"echo",
u"foxtrot", u"golf", u"hotel", u"india")
writers = []
# Simulate doing 20 (near-)simultaneous commits. If we weren't using
# AsyncWriter, at least some of these would fail because the first
# writer wouldn't be finished yet.
for i in xrange(20):
w = writing.AsyncWriter(ix)
writers.append(w)
w.add_document(id=text_type(i),
text=u" ".join(random.sample(domain, 5)))
w.commit()
# Wait for all writers to finish before checking the results
for w in writers:
if w.running:
w.join()
# Check whether all documents made it into the index.
with ix.reader() as r:
assert sorted([int(id) for id in r.lexicon("id")]) == list(range(20))
def test_updates():
schema = fields.Schema(id=fields.ID(unique=True, stored=True))
ix = RamStorage().create_index(schema)
for _ in xrange(10):
with ix.writer() as w:
w.update_document(id=u"a")
assert ix.doc_count() == 1
def test_buffered():
schema = fields.Schema(id=fields.ID, text=fields.TEXT)
with TempIndex(schema, "buffered") as ix:
domain = u"alfa bravo charlie delta echo foxtrot golf hotel india"
domain = domain.split()
w = writing.BufferedWriter(ix, period=None, limit=10,
commitargs={"merge": False})
for i in xrange(20):
w.add_document(id=text_type(i),
text=u" ".join(random.sample(domain, 5)))
time.sleep(0.1)
w.close()
assert len(ix._segments()) == 2
def test_buffered_search():
schema = fields.Schema(id=fields.STORED, text=fields.TEXT)
with TempIndex(schema, "bufferedsearch") as ix:
w = writing.BufferedWriter(ix, period=None, limit=5)
w.add_document(id=1, text=u"alfa bravo charlie")
w.add_document(id=2, text=u"bravo tango delta")
w.add_document(id=3, text=u"tango delta echo")
w.add_document(id=4, text=u"charlie delta echo")
with w.searcher() as s:
r = s.search(query.Term("text", u"tango"))
assert sorted([d["id"] for d in r]) == [2, 3]
w.add_document(id=5, text=u"foxtrot golf hotel")
w.add_document(id=6, text=u"india tango juliet")
w.add_document(id=7, text=u"tango kilo lima")
w.add_document(id=8, text=u"mike november echo")
with w.searcher() as s:
r = s.search(query.Term("text", u"tango"))
assert sorted([d["id"] for d in r]) == [2, 3, 6, 7]
w.close()
def test_buffered_update():
schema = fields.Schema(id=fields.ID(stored=True, unique=True),
payload=fields.STORED)
with TempIndex(schema, "bufferedupdate") as ix:
w = writing.BufferedWriter(ix, period=None, limit=5)
for i in xrange(10):
for char in u"abc":
fs = dict(id=char, payload=text_type(i) + char)
w.update_document(**fs)
with w.reader() as r:
sfs = [sf for _, sf in r.iter_docs()]
sfs = sorted(sfs, key=lambda x: x["id"])
assert sfs == [{'id': u('a'), 'payload': u('9a')},
{'id': u('b'), 'payload': u('9b')},
{'id': u('c'), 'payload': u('9c')}]
assert r.doc_count() == 3
w.close()
def test_buffered_threads():
domain = u"alfa bravo charlie delta".split()
schema = fields.Schema(name=fields.ID(unique=True, stored=True))
with TempIndex(schema, "buffthreads") as ix:
w = writing.BufferedWriter(ix, limit=10)
class SimWriter(threading.Thread):
def run(self):
for _ in xrange(5):
w.update_document(name=random.choice(domain))
time.sleep(random.uniform(0.01, 0.1))
threads = [SimWriter() for _ in xrange(5)]
for thread in threads:
thread.start()
for thread in threads:
thread.join()
w.close()
with ix.reader() as r:
assert r.doc_count() == 4
names = sorted([d["name"] for d in r.all_stored_fields()])
assert names == domain
def test_fractional_weights():
ana = analysis.RegexTokenizer(r"\S+") | analysis.DelimitedAttributeFilter()
# With Positions format
schema = fields.Schema(f=fields.TEXT(analyzer=ana))
ix = RamStorage().create_index(schema)
w = ix.writer()
w.add_document(f=u"alfa^0.5 bravo^1.5 charlie^2.0 delta^1.5")
w.commit()
with ix.searcher() as s:
wts = []
for word in s.lexicon("f"):
p = s.postings("f", word)
wts.append(p.weight())
assert wts == [0.5, 1.5, 2.0, 1.5]
# Try again with Frequency format
schema = fields.Schema(f=fields.TEXT(analyzer=ana, phrase=False))
ix = RamStorage().create_index(schema)
w = ix.writer()
w.add_document(f=u"alfa^0.5 bravo^1.5 charlie^2.0 delta^1.5")
w.commit()
with ix.searcher() as s:
wts = []
for word in s.lexicon("f"):
p = s.postings("f", word)
wts.append(p.weight())
assert wts == [0.5, 1.5, 2.0, 1.5]
def test_cancel_delete():
schema = fields.Schema(id=fields.ID(stored=True))
# Single segment
with TempIndex(schema, "canceldelete1") as ix:
w = ix.writer()
for char in u"ABCD":
w.add_document(id=char)
w.commit()
with ix.reader() as r:
assert not r.has_deletions()
w = ix.writer()
w.delete_document(2)
w.delete_document(3)
w.cancel()
with ix.reader() as r:
assert not r.has_deletions()
assert not r.is_deleted(2)
assert not r.is_deleted(3)
# Multiple segments
with TempIndex(schema, "canceldelete2") as ix:
for char in u"ABCD":
w = ix.writer()
w.add_document(id=char)
w.commit(merge=False)
with ix.reader() as r:
assert not r.has_deletions()
w = ix.writer()
w.delete_document(2)
w.delete_document(3)
w.cancel()
with ix.reader() as r:
assert not r.has_deletions()
assert not r.is_deleted(2)
assert not r.is_deleted(3)
def test_delete_nonexistant():
from whoosh.writing import IndexingError
schema = fields.Schema(id=fields.ID(stored=True))
# Single segment
with TempIndex(schema, "deletenon1") as ix:
w = ix.writer()
for char in u"ABC":
w.add_document(id=char)
w.commit()
try:
w = ix.writer()
with pytest.raises(IndexingError):
w.delete_document(5)
finally:
w.cancel()
# Multiple segments
with TempIndex(schema, "deletenon1") as ix:
for char in u"ABC":
w = ix.writer()
w.add_document(id=char)
w.commit(merge=False)
try:
w = ix.writer()
with pytest.raises(IndexingError):
w.delete_document(5)
finally:
w.cancel()
def test_add_field():
schema = fields.Schema(a=fields.TEXT)
with TempIndex(schema, "addfield") as ix:
with ix.writer() as w:
w.add_document(a=u"alfa bravo charlie")
with ix.writer() as w:
w.add_field("b", fields.ID(stored=True))
w.add_field("c*", fields.ID(stored=True), glob=True)
w.add_document(a=u"delta echo foxtrot", b=u"india", cat=u"juliet")
with ix.searcher() as s:
fs = s.document(b=u"india")
assert fs == {"b": "india", "cat": "juliet"}
def test_add_reader():
schema = fields.Schema(i=fields.ID(stored=True, unique=True),
a=fields.TEXT(stored=True, spelling=True),
b=fields.TEXT(vector=True))
with TempIndex(schema, "addreader") as ix:
with ix.writer() as w:
w.add_document(i=u"0", a=u"alfa bravo charlie delta",
b=u"able baker coxwell dog")
w.add_document(i=u"1", a=u"bravo charlie delta echo",
b=u"elf fabio gong hiker")
w.add_document(i=u"2", a=u"charlie delta echo foxtrot",
b=u"india joker king loopy")
w.add_document(i=u"3", a=u"delta echo foxtrot golf",
b=u"mister noogie oompah pancake")
with ix.writer() as w:
w.delete_by_term("i", "1")
w.delete_by_term("i", "3")
with ix.writer() as w:
w.add_document(i=u"4", a=u"hotel india juliet kilo",
b=u"quick rhubarb soggy trap")
w.add_document(i=u"5", a=u"india juliet kilo lima",
b=u"umber violet weird xray")
w.optimize = True
with ix.reader() as r:
assert r.doc_count() == 4
sfs = sorted(r.all_stored_fields(), key=lambda d: d["i"])
assert sfs == [
{"i": u"0", "a": u"alfa bravo charlie delta"},
{"i": u"2", "a": u"charlie delta echo foxtrot"},
{"i": u"4", "a": u"hotel india juliet kilo"},
{"i": u"5", "a": u"india juliet kilo lima"},
]
assert " ".join(r.field_terms("a")) == "alfa bravo charlie delta echo foxtrot hotel india juliet kilo lima"
vs = []
for docnum in r.all_doc_ids():
v = r.vector(docnum, "b")
vs.append(list(v.all_ids()))
assert vs == [["quick", "rhubarb", "soggy", "trap"],
["umber", "violet", "weird", "xray"],
["able", "baker", "coxwell", "dog"],
["india", "joker", "king", "loopy"]
]
def test_add_reader_spelling():
# Test whether add_spell_word() items get copied over in a merge
# Because b is stemming and spelled, it will use add_spell_word()
ana = analysis.StemmingAnalyzer()
schema = fields.Schema(a=fields.TEXT(analyzer=ana),
b=fields.TEXT(analyzer=ana, spelling=True))
with TempIndex(schema, "addreadersp") as ix:
with ix.writer() as w:
w.add_document(a=u"rendering modeling",
b=u"rendering modeling")
w.add_document(a=u"flying rolling",
b=u"flying rolling")
with ix.writer() as w:
w.add_document(a=u"writing eyeing",
b=u"writing eyeing")
w.add_document(a=u"undoing indicating",
b=u"undoing indicating")
w.optimize = True
with ix.reader() as r:
sws = list(r.lexicon("spell_b"))
assert sws == [b"eyeing", b"flying", b"indicating", b"modeling",
b"rendering", b"rolling", b"undoing", b"writing"]
assert list(r.terms_within("a", "undoink", 1)) == []
assert list(r.terms_within("b", "undoink", 1)) == ["undoing"]
def test_clear():
schema = fields.Schema(a=fields.KEYWORD)
ix = RamStorage().create_index(schema)
# Add some segments
with ix.writer() as w:
w.add_document(a=u"one two three")
w.merge = False
with ix.writer() as w:
w.add_document(a=u"two three four")
w.merge = False
with ix.writer() as w:
w.add_document(a=u"three four five")
w.merge = False
# Clear
with ix.writer() as w:
w.add_document(a=u"foo bar baz")
w.mergetype = writing.CLEAR
with ix.searcher() as s:
assert s.doc_count_all() == 1
assert list(s.reader().lexicon("a")) == [b("bar"), b("baz"), b("foo")]
def test_spellable_list():
# Make sure a spellable field works with a list of pre-analyzed tokens
ana = analysis.StemmingAnalyzer()
schema = fields.Schema(Location=fields.STORED,Lang=fields.STORED,
Title=fields.TEXT(spelling=True, analyzer=ana))
ix = RamStorage().create_index(schema)
doc = {'Location': '1000/123', 'Lang': 'E',
'Title': ['Introduction', 'Numerical', 'Analysis']}
with ix.writer() as w:
w.add_document(**doc)
def test_zero_procs():
schema = fields.Schema(text=fields.TEXT)
ix = RamStorage().create_index(schema)
with ix.writer(procs=0) as w:
assert isinstance(w, writing.IndexWriter)
with ix.writer(procs=1) as w:
assert isinstance(w, writing.IndexWriter)
def test_delete_by_term_has_del():
schema = fields.Schema(key=fields.KEYWORD)
with TempIndex(schema) as ix:
with ix.writer() as w:
w.add_document(key=u"alfa")
w.add_document(key=u"bravo")
w.add_document(key=u"charlie")
with ix.writer() as w:
w.add_document(key=u"delta")
w.add_document(key=u"echo")
w.add_document(key=u"foxtrot")
w.merge = False
with ix.reader() as r:
assert not r.has_deletions()
with ix.writer() as w:
w.delete_by_term("key", u"bravo")
w.optimize = True
with ix.reader() as r:
assert not r.has_deletions()
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