1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378 379 380 381 382 383 384 385 386 387 388 389 390 391 392 393 394 395 396 397 398 399 400 401 402 403 404 405 406 407 408 409 410 411 412 413 414 415 416 417 418 419 420 421 422 423 424 425 426 427 428 429 430 431 432 433 434 435 436 437 438 439 440 441 442 443 444 445 446 447 448 449 450 451 452 453 454 455 456 457 458 459 460 461 462 463 464 465 466 467 468 469 470 471 472 473 474 475 476 477 478 479 480 481 482 483 484 485 486 487 488 489 490 491 492 493 494 495 496 497 498 499 500 501 502 503 504 505 506 507 508 509 510 511 512 513 514 515 516 517 518 519 520 521 522 523 524 525 526 527 528 529 530 531 532 533 534 535 536 537 538 539 540 541 542 543 544 545 546 547 548 549 550 551 552 553 554 555 556 557 558 559 560 561 562 563 564 565 566 567 568 569 570 571 572 573 574 575 576 577 578 579 580 581 582 583 584 585 586 587 588 589 590 591 592 593 594 595 596 597 598 599 600 601 602 603 604 605 606 607 608 609 610 611 612 613 614 615 616 617 618 619 620 621
|
from __future__ import with_statement
import random
from array import array
import pytest
from whoosh import analysis, fields, formats, query
from whoosh.compat import u, b, text_type
from whoosh.compat import array_tobytes, xrange
from whoosh.codec import default_codec
from whoosh.filedb.filestore import RamStorage
from whoosh.util.numeric import byte_to_length, length_to_byte
from whoosh.util.testing import TempStorage
def _make_codec(**kwargs):
st = RamStorage()
codec = default_codec(**kwargs)
seg = codec.new_segment(st, "test")
return st, codec, seg
class FakeLengths(object):
def __init__(self, **lens):
self.lens = lens
def doc_field_length(self, docnum, fieldname):
if fieldname in self.lens:
if docnum < len(self.lens[fieldname]):
return self.lens[fieldname][docnum]
return 1
def test_termkey():
st, codec, seg = _make_codec()
tw = codec.field_writer(st, seg)
fieldobj = fields.TEXT()
tw.start_field("alfa", fieldobj)
tw.start_term(b("bravo"))
tw.add(0, 1.0, b(""), 3)
tw.finish_term()
tw.start_term(b('\xc3\xa6\xc3\xaf\xc5\xc3\xba'))
tw.add(0, 4.0, b(""), 3)
tw.finish_term()
tw.finish_field()
tw.start_field("text", fieldobj)
tw.start_term(b('\xe6\xa5\xe6\xac\xe8\xaa'))
tw.add(0, 7.0, b(""), 9)
tw.finish_term()
tw.finish_field()
tw.close()
tr = codec.terms_reader(st, seg)
assert ("alfa", b("bravo")) in tr
assert ("alfa", b('\xc3\xa6\xc3\xaf\xc5\xc3\xba')) in tr
assert ("text", b('\xe6\xa5\xe6\xac\xe8\xaa')) in tr
tr.close()
def test_random_termkeys():
def random_fieldname():
return "".join(chr(random.randint(65, 90)) for _ in xrange(1, 20))
def random_btext():
a = array("H", (random.randint(0, 0xd7ff) for _ in xrange(1, 20)))
return array_tobytes(a).decode("utf-16")
domain = sorted(set([(random_fieldname(), random_btext().encode("utf-8"))
for _ in xrange(1000)]))
st, codec, seg = _make_codec()
fieldobj = fields.TEXT()
tw = codec.field_writer(st, seg)
# Stupid ultra-low-level hand-adding of postings just to check handling of
# random fieldnames and term texts
lastfield = None
for fieldname, text in domain:
if lastfield and fieldname != lastfield:
tw.finish_field()
lastfield = None
if lastfield is None:
tw.start_field(fieldname, fieldobj)
lastfield = fieldname
tw.start_term(text)
tw.add(0, 1.0, b(""), 1)
tw.finish_term()
if lastfield:
tw.finish_field()
tw.close()
tr = codec.terms_reader(st, seg)
for term in domain:
assert term in tr
def test_stored_fields():
codec = default_codec()
fieldobj = fields.TEXT(stored=True)
with TempStorage("storedfields") as st:
seg = codec.new_segment(st, "test")
dw = codec.per_document_writer(st, seg)
dw.start_doc(0)
dw.add_field("a", fieldobj, "hello", 1)
dw.add_field("b", fieldobj, "there", 1)
dw.finish_doc()
dw.start_doc(1)
dw.add_field("a", fieldobj, "one", 1)
dw.add_field("b", fieldobj, "two", 1)
dw.add_field("c", fieldobj, "three", 1)
dw.finish_doc()
dw.start_doc(2)
dw.finish_doc()
dw.start_doc(3)
dw.add_field("a", fieldobj, "alfa", 1)
dw.add_field("b", fieldobj, "bravo", 1)
dw.finish_doc()
dw.close()
seg.set_doc_count(4)
pdr = codec.per_document_reader(st, seg)
assert pdr.doc_count_all() == 4
assert pdr.stored_fields(0) == {"a": "hello", "b": "there"}
# Note: access out of order
assert pdr.stored_fields(3), {"a": "alfa", "b": "bravo"}
assert pdr.stored_fields(1) == {"a": "one", "b": "two", "c": "three"}
sfs = list(pdr.all_stored_fields())
assert len(sfs) == 4
assert sfs == [{"a": "hello", "b": "there"},
{"a": "one", "b": "two", "c": "three"},
{},
{"a": "alfa", "b": "bravo"},
]
pdr.close()
def test_termindex():
terms = [("a", "alfa"), ("a", "bravo"), ("a", "charlie"), ("a", "delta"),
("b", "able"), ("b", "baker"), ("b", "dog"), ("b", "easy")]
st, codec, seg = _make_codec()
schema = fields.Schema(a=fields.TEXT, b=fields.TEXT)
tw = codec.field_writer(st, seg)
postings = ((fname, b(text), 0, i, b("")) for (i, (fname, text))
in enumerate(terms))
tw.add_postings(schema, FakeLengths(), postings)
tw.close()
tr = codec.terms_reader(st, seg)
for i, (fieldname, text) in enumerate(terms):
assert (fieldname, b(text)) in tr
ti = tr.term_info(fieldname, b(text))
assert ti.weight() == i
assert ti.doc_frequency() == 1
def test_docwriter_one():
field = fields.TEXT(stored=True)
st, codec, seg = _make_codec()
dw = codec.per_document_writer(st, seg)
dw.start_doc(0)
dw.add_field("text", field, "Testing one two three", 4)
dw.finish_doc()
dw.close()
seg.set_doc_count(1)
pdr = codec.per_document_reader(st, seg)
assert pdr.doc_field_length(0, "text") == 4
assert pdr.stored_fields(0) == {"text": "Testing one two three"}
def test_docwriter_two():
field = fields.TEXT(stored=True)
st, codec, seg = _make_codec()
dw = codec.per_document_writer(st, seg)
dw.start_doc(0)
dw.add_field("title", field, ("a", "b"), 2)
dw.add_field("text", field, "Testing one two three", 4)
dw.finish_doc()
dw.start_doc(1)
dw.add_field("title", field, "The second document", 3)
dw.add_field("text", field, 500, 1)
dw.finish_doc()
dw.close()
seg.set_doc_count(2)
pdr = codec.per_document_reader(st, seg)
assert pdr.doc_field_length(0, "title") == 2
assert pdr.doc_field_length(0, "text") == 4
assert pdr.doc_field_length(1, "title") == 3
assert pdr.doc_field_length(1, "text") == 1
assert (pdr.stored_fields(0)
== {"title": ("a", "b"), "text": "Testing one two three"})
assert (pdr.stored_fields(1)
== {"title": "The second document", "text": 500})
def test_vector():
field = fields.TEXT(vector=True)
st, codec, seg = _make_codec()
dw = codec.per_document_writer(st, seg)
dw.start_doc(0)
dw.add_field("title", field, None, 1)
dw.add_vector_items("title", field, [(u("alfa"), 1.0, b("t1")),
(u("bravo"), 2.0, b("t2"))])
dw.finish_doc()
dw.close()
seg.set_doc_count(1)
pdr = codec.per_document_reader(st, seg)
assert pdr.stored_fields(0) == {}
m = pdr.vector(0, "title", field.vector)
assert m.is_active()
ps = []
while m.is_active():
ps.append((m.id(), m.weight(), m.value()))
m.next()
assert ps == [(u("alfa"), 1.0, b("t1")), (u("bravo"), 2.0, b("t2"))]
def test_vector_values():
field = fields.TEXT(vector=formats.Frequency())
st, codec, seg = _make_codec()
content = u("alfa bravo charlie alfa")
dw = codec.per_document_writer(st, seg)
dw.start_doc(0)
vals = ((t, w, v) for t, _, w, v
in sorted(field.vector.word_values(content, field.analyzer)))
dw.add_vector_items("f1", field, vals)
dw.finish_doc()
dw.close()
vr = codec.per_document_reader(st, seg)
m = vr.vector(0, "f1", field.vector)
assert (list(m.items_as("frequency"))
== [("alfa", 2), ("bravo", 1), ("charlie", 1)])
def test_no_lengths():
f1 = fields.ID()
st, codec, seg = _make_codec()
dw = codec.per_document_writer(st, seg)
dw.start_doc(0)
dw.add_field("name", f1, None, None)
dw.finish_doc()
dw.start_doc(1)
dw.add_field("name", f1, None, None)
dw.finish_doc()
dw.start_doc(2)
dw.add_field("name", f1, None, None)
dw.finish_doc()
dw.close()
seg.set_doc_count(3)
pdr = codec.per_document_reader(st, seg)
assert pdr.doc_field_length(0, "name") == 0
assert pdr.doc_field_length(1, "name") == 0
assert pdr.doc_field_length(2, "name") == 0
def test_store_zero():
f1 = fields.ID(stored=True)
st, codec, seg = _make_codec()
dw = codec.per_document_writer(st, seg)
dw.start_doc(0)
dw.add_field("name", f1, 0, None)
dw.finish_doc()
dw.close()
seg.set_doc_count(1)
sr = codec.per_document_reader(st, seg)
assert sr.stored_fields(0) == {"name": 0}
def test_fieldwriter_single_term():
field = fields.TEXT()
st, codec, seg = _make_codec()
fw = codec.field_writer(st, seg)
fw.start_field("text", field)
fw.start_term(b("alfa"))
fw.add(0, 1.5, b("test"), 1)
fw.finish_term()
fw.finish_field()
fw.close()
tr = codec.terms_reader(st, seg)
assert ("text", b("alfa")) in tr
ti = tr.term_info("text", b("alfa"))
assert ti.weight() == 1.5
assert ti.doc_frequency() == 1
assert ti.min_length() == 1
assert ti.max_length() == 1
assert ti.max_weight() == 1.5
assert ti.min_id() == 0
assert ti.max_id() == 0
def test_fieldwriter_two_terms():
field = fields.TEXT()
st, codec, seg = _make_codec()
fw = codec.field_writer(st, seg)
fw.start_field("text", field)
fw.start_term(b("alfa"))
fw.add(0, 2.0, b("test1"), 2)
fw.add(1, 1.0, b("test2"), 1)
fw.finish_term()
fw.start_term(b("bravo"))
fw.add(0, 3.0, b("test3"), 3)
fw.add(2, 2.0, b("test4"), 2)
fw.finish_term()
fw.finish_field()
fw.close()
tr = codec.terms_reader(st, seg)
assert ("text", b("alfa")) in tr
ti = tr.term_info("text", b("alfa"))
assert ti.weight() == 3.0
assert ti.doc_frequency() == 2
assert ti.min_length() == 1
assert ti.max_length() == 2
assert ti.max_weight() == 2.0
assert ti.min_id() == 0
assert ti.max_id() == 1
assert ("text", b("bravo")) in tr
ti = tr.term_info("text", b("bravo"))
assert ti.weight() == 5.0
assert ti.doc_frequency() == 2
assert ti.min_length() == 2
assert ti.max_length() == 3
assert ti.max_weight() == 3.0
assert ti.min_id() == 0
assert ti.max_id() == 2
m = tr.matcher("text", b("bravo"), field.format)
assert list(m.all_ids()) == [0, 2]
def test_fieldwriter_multiblock():
field = fields.TEXT()
st, codec, seg = _make_codec(blocklimit=2)
fw = codec.field_writer(st, seg)
fw.start_field("text", field)
fw.start_term(b("alfa"))
fw.add(0, 2.0, b("test1"), 2)
fw.add(1, 5.0, b("test2"), 5)
fw.add(2, 3.0, b("test3"), 3)
fw.add(3, 4.0, b("test4"), 4)
fw.add(4, 1.0, b("test5"), 1)
fw.finish_term()
fw.finish_field()
fw.close()
tr = codec.terms_reader(st, seg)
ti = tr.term_info("text", b("alfa"))
assert ti.weight() == 15.0
assert ti.doc_frequency() == 5
assert ti.min_length() == 1
assert ti.max_length() == 5
assert ti.max_weight() == 5.0
assert ti.min_id() == 0
assert ti.max_id() == 4
ps = []
m = tr.matcher("text", b("alfa"), field.format)
while m.is_active():
ps.append((m.id(), m.weight(), m.value()))
m.next()
assert ps == [(0, 2.0, b("test1")), (1, 5.0, b("test2")),
(2, 3.0, b("test3")), (3, 4.0, b("test4")),
(4, 1.0, b("test5"))]
def test_term_values():
field = fields.TEXT(phrase=False)
st, codec, seg = _make_codec()
content = u("alfa bravo charlie alfa")
fw = codec.field_writer(st, seg)
fw.start_field("f1", field)
for text, freq, weight, val in sorted(field.index(content)):
fw.start_term(text)
fw.add(0, weight, val, freq)
fw.finish_term()
fw.finish_field()
fw.close()
tr = codec.terms_reader(st, seg)
ps = [(term, ti.weight(), ti.doc_frequency()) for term, ti in tr.items()]
assert ps == [(("f1", b("alfa")), 2.0, 1), (("f1", b("bravo")), 1.0, 1),
(("f1", b("charlie")), 1.0, 1)]
def test_skip():
_docnums = [1, 3, 12, 34, 43, 67, 68, 102, 145, 212, 283, 291, 412, 900,
905, 1024, 1800, 2048, 15000]
st, codec, seg = _make_codec()
fieldobj = fields.TEXT()
fw = codec.field_writer(st, seg)
fw.start_field("f1", fieldobj)
fw.start_term(b("test"))
for n in _docnums:
fw.add(n, 1.0, b(''), None)
fw.finish_term()
fw.finish_field()
fw.close()
tr = codec.terms_reader(st, seg)
m = tr.matcher("f1", b("test"), fieldobj.format)
assert m.id() == 1
m.skip_to(220)
assert m.id() == 283
m.skip_to(1)
assert m.id() == 283
m.skip_to(1000)
assert m.id() == 1024
m.skip_to(1800)
assert m.id() == 1800
# def test_spelled_field():
# field = fields.TEXT(spelling=True)
# st, codec, seg = _make_codec()
#
# fw = codec.field_writer(st, seg)
# fw.start_field("text", field)
# fw.start_term(b("special"))
# fw.add(0, 1.0, b("test1"), 1)
# fw.finish_term()
# fw.start_term(b("specific"))
# fw.add(1, 1.0, b("test2"), 1)
# fw.finish_term()
# fw.finish_field()
# fw.close()
#
# gr = codec.graph_reader(st, seg)
# assert gr.has_root("text")
# cur = gr.cursor("text")
# strings = list(cur.flatten_strings())
# assert type(strings[0]) == text_type
# assert strings == ["special", "specific"]
#
#
# def test_special_spelled_field():
# from whoosh.analysis import StemmingAnalyzer
#
# field = fields.TEXT(analyzer=StemmingAnalyzer(), spelling=True)
# st, codec, seg = _make_codec()
#
# fw = codec.field_writer(st, seg)
# fw.start_field("text", field)
# fw.start_term(b("special"))
# fw.add(0, 1.0, b("test1"), 1)
# fw.finish_term()
# fw.start_term(b("specific"))
# fw.add(1, 1.0, b("test2"), 1)
# fw.finish_term()
# fw.add_spell_word("text", u("specials"))
# fw.add_spell_word("text", u("specifically"))
# fw.finish_field()
# fw.close()
#
# tr = codec.terms_reader(st, seg)
# assert list(tr.terms()) == [("text", b("special")), ("text", b("specific"))]
#
# cur = codec.graph_reader(st, seg).cursor("text")
# assert list(cur.flatten_strings()) == ["specials", "specifically"]
def test_plaintext_codec():
pytest.importorskip("ast")
from whoosh.codec.plaintext import PlainTextCodec
from whoosh.codec.whoosh3 import W3Codec
ana = analysis.StemmingAnalyzer()
schema = fields.Schema(a=fields.TEXT(vector=True, sortable=True),
b=fields.STORED,
c=fields.NUMERIC(stored=True, sortable=True),
d=fields.TEXT(analyzer=ana, spelling=True))
st = RamStorage()
ix = st.create_index(schema)
with ix.writer(codec=W3Codec()) as w:
w.add_document(a=u("alfa bravo charlie"), b="hello", c=100,
d=u("quelling whining echoing"))
w.add_document(a=u("bravo charlie delta"), b=1000, c=200,
d=u("rolling timing yelling"))
w.add_document(a=u("charlie delta echo"), b=5.5, c=300,
d=u("using opening pulling"))
w.add_document(a=u("delta echo foxtrot"), b=True, c=-100,
d=u("aching selling dipping"))
w.add_document(a=u("echo foxtrot india"), b=None, c=-200,
d=u("filling going hopping"))
with ix.reader() as r:
assert r.has_column("a")
c = r.column_reader("a")
assert c[2] == u("charlie delta echo")
w = ix.writer(codec=PlainTextCodec())
w.commit(optimize=True)
with ix.searcher() as s:
reader = s.reader()
assert isinstance(reader.codec(), PlainTextCodec)
r = s.search(query.Term("a", "delta"))
assert len(r) == 3
assert [hit["b"] for hit in r] == [1000, 5.5, True]
assert (" ".join(s.field_terms("a"))
== "alfa bravo charlie delta echo foxtrot india")
storage = ix.storage
for fname in storage.list():
if fname.endswith(".dcs"):
f = storage.open_file(fname)
# print(f.read().decode("utf8"))
assert reader.doc_field_length(0, "a") == 3
assert reader.doc_field_length(2, "a") == 3
cfield = schema["c"]
assert type(cfield), fields.NUMERIC
sortables = list(cfield.sortable_terms(reader, "c"))
assert sortables
assert ([cfield.from_bytes(t) for t in sortables]
== [-200, -100, 100, 200, 300])
assert reader.has_column("a")
c = reader.column_reader("a")
assert c[2] == u("charlie delta echo")
assert reader.has_column("c")
c = reader.column_reader("c")
assert list(c) == [100, 200, 300, -100, -200]
assert s.has_vector(2, "a")
v = s.vector(2, "a")
assert " ".join(v.all_ids()) == "charlie delta echo"
def test_memory_codec():
from whoosh.codec import memory
from whoosh.searching import Searcher
ana = analysis.StemmingAnalyzer()
schema = fields.Schema(a=fields.TEXT(vector=True),
b=fields.STORED,
c=fields.NUMERIC(stored=True, sortable=True),
d=fields.TEXT(analyzer=ana, spelling=True))
codec = memory.MemoryCodec()
with codec.writer(schema) as w:
w.add_document(a=u("alfa bravo charlie"), b="hello", c=100,
d=u("quelling whining echoing"))
w.add_document(a=u("bravo charlie delta"), b=1000, c=200,
d=u("rolling timing yelling"))
w.add_document(a=u("charlie delta echo"), b=5.5, c=300,
d=u("using opening pulling"))
w.add_document(a=u("delta echo foxtrot"), b=True, c=-100,
d=u("aching selling dipping"))
w.add_document(a=u("echo foxtrot india"), b=None, c=-200,
d=u("filling going hopping"))
reader = codec.reader(schema)
s = Searcher(reader)
assert ("a", "delta") in reader
q = query.Term("a", "delta")
r = s.search(q)
assert len(r) == 3
assert [hit["b"] for hit in r] == [1000, 5.5, True]
assert (" ".join(s.field_terms("a"))
== "alfa bravo charlie delta echo foxtrot india")
cfield = schema["c"]
c_sortables = cfield.sortable_terms(reader, "c")
c_values = [cfield.from_bytes(t) for t in c_sortables]
assert c_values, [-200, -100, 100, 200, 300]
assert reader.has_column("c")
c_values = list(reader.column_reader("c"))
assert c_values == [100, 200, 300, -100, -200]
assert s.has_vector(2, "a")
v = s.vector(2, "a")
assert " ".join(v.all_ids()) == "charlie delta echo"
def test_memory_multiwrite():
from whoosh.codec import memory
domain = ["alfa bravo charlie delta",
"bravo charlie delta echo",
"charlie delta echo foxtrot",
"delta echo foxtrot india",
"echo foxtrot india juliet"]
schema = fields.Schema(line=fields.TEXT(stored=True))
codec = memory.MemoryCodec()
for line in domain:
with codec.writer(schema) as w:
w.add_document(line=u(line))
reader = codec.reader(schema)
assert [sf["line"] for sf in reader.all_stored_fields()] == domain
assert (" ".join(reader.field_terms("line"))
== "alfa bravo charlie delta echo foxtrot india juliet")
|