=wgţNdZddlmZddlmZddlmZmZmZm Z ddl m Z ddl m Z ddl mZmZmZmZddlmZdd lmZdd lmZdd lmZGd d eZGddeZGddeZGddeZGddeZ GddeZ!GddeZ"dZ#GddeZ$y)z?This module contains classes that allow reading from an index. )log) bisect_right)heapify heapreplaceheappopnlargest)columns)abstractmethod)xrangezip_next iteritems)OverlayStorage) MultiMatcher)distance) emptybytesceZdZdZdZy) ReaderClosedzException raised when you try to do some operation on a closed searcher (or a Results object derived from a searcher that has since been closed). zOperation on a closed readerN)__name__ __module__ __qualname____doc__messageE/var/www/horilla/myenv/lib/python3.12/site-packages/whoosh/reading.pyrr.s-Grrc eZdZy) TermNotFoundN)rrrrrrrr6srrcNeZdZdZ d dZd dZdZdZdZdZ d Z d Z d Z y)TermInfozRepresents a set of statistics about a term. This object is returned by :meth:`IndexReader.term_info`. These statistics may be useful for optimizations and scoring algorithms. Ncf||_||_||_||_||_||_||_yN)_weight_df _minlength _maxlength _maxweight_minid_maxid)selfweightdf minlength maxlength maxweightminidmaxids r__init__zTermInfo.__init__Bs3 ###  rc\|j||_||_|xj|z c_|xjdz c_t |j ||_|K|j ||_nt|j ||_t |j||_yy)N) r(r)r#r$maxr'r%minr&)r*docnumr+lengths r add_postingzTermInfo.add_postingLs ;;  DK    A doov6  &"("%doov">!$//6:DO rc|jS)zFReturns the total frequency of the term across all documents. )r#r*s rr+zTermInfo.weight[s||rc|jS)z=Returns the number of documents the term appears in. )r$r;s r doc_frequencyzTermInfo.doc_frequencyas xxrc|jS)zTReturns the length of the shortest field value the term appears in. )r%r;s r min_lengthzTermInfo.min_lengthg rc|jS)zSReturns the length of the longest field value the term appears in. )r&r;s r max_lengthzTermInfo.max_lengthnr@rc|jS)zkReturns the number of times the term appears in the document in which it appears the most. )r'r;s r max_weightzTermInfo.max_weightur@rc|jS)z=Returns the lowest document ID this term appears in. )r(r;s rmin_idzTermInfo.min_id|{{rc|jS)z>Returns the highest document ID this term appears in. )r)r;s rmax_idzTermInfo.max_idrGr)rrNrrNrr") rrrrr2r9r+r=r?rBrDrFrIrrrr r <s< 26=> ;   rr ceZdZdZdZdZedZdZdZ dZ dZ d Z d Z d Zed Zed ZdZedZdZdZdZdZdZd4dZdZedZdZdZedZedZdZedZ edZ!edZ"ed Z#ed!Z$ed"Z%ed#Z&ed5d$Z'd%Z(d&Z)ed'Z*ed(Z+ed6d*Z,d+Z-d,Z.d5d-Z/d7d.Z0d7d/Z1d0Z2d1Z3d2Z4 d8d3Z5y))9 IndexReaderIDo not instantiate this object directly. Instead use Index.reader(). c|Sr"rr;s r __enter__zIndexReader.__enter__s rc$|jyr")close)r*argss r__exit__zIndexReader.__exit__s  rct)zZReturns True if the given term tuple (fieldname, text) is in this reader. NotImplementedErrorr*terms r __contains__zIndexReader.__contains__ "!rcy)zReturns the :class:`whoosh.codec.base.Codec` object used to read this reader's segment. If this reader is not atomic (``reader.is_atomic() == True``), returns None. Nrr;s rcodeczIndexReader.codec rcy)zReturns the :class:`whoosh.index.Segment` object used by this reader. If this reader is not atomic (``reader.is_atomic() == True``), returns None. Nrr;s rsegmentzIndexReader.segmentr\rcy)zReturns the :class:`whoosh.filedb.filestore.Storage` object used by this reader to read its files. If the reader is not atomic, (``reader.is_atomic() == True``), returns None. Nrr;s rstoragezIndexReader.storager\rcyNTrr;s r is_atomiczIndexReader.is_atomicsrct||jvr t||f|j|j|Sr")schemarto_bytesr* fieldnametexts r_text_to_byteszIndexReader._text_to_bytess8 DKK ' 401 1{{9%..t44rcy)z;Closes the open files associated with this reader. Nrr;s rrPzIndexReader.closes rcy)zgReturns the generation of the index being read, or -1 if the backend is not versioned. Nrr;s r generationzIndexReader.generations rct)zReturns an iterable of strings representing the names of the indexed fields. This may include additional names not explicitly listed in the Schema if you use "glob" fields. rTr;s rindexed_field_nameszIndexReader.indexed_field_namess "!rct)zEYields (fieldname, text) tuples for every term in the index. rTr;s r all_termszIndexReader.all_termsrYrc#^K|jD]\}}||ks||kr||fyw)zjYields (fieldname, text) tuples for every term in the index starting at the given prefix. N)rq)r*rhprefixfnameris r terms_fromzIndexReader.terms_froms=  >>+ KE4y D6M$-  +-ct)zoReturns a :class:`TermInfo` object allowing access to various statistics about the given term. rTrgs r term_infozIndexReader.term_info "!rc#K|j||}|j||D]!\}}||k7s|j|sy|#yw)zJYields terms in the given field that start with the given prefix. N)rjru startswith)r*rhrsfnris r expand_prefixzIndexReader.expand_prefixsR$$Y7 6: HBYdoof&=J sA A c#^K|j|tD]\}}||k7ry|yw)z3Yields all bytestrings in the given field. N)rur)r*rhr|btexts rlexiconzIndexReader.lexicons5J? IBYK rvc#~K|j|j}|j|D] }||yw)zZYields all term values (converted from on-disk bytes) in the given field. N)re from_bytesr)r*rhrrs r field_termszIndexReader.field_termss? [[+66 \\), $EU# # $s;=c#`K|j}|jD] }|||f yw)zkYields ((fieldname, text), terminfo) tuples for each term in the reader, in lexical order. N)rxrq)r*rxrWs r__iter__zIndexReader.__iter__s7 NN NN$ +DD)* * +,.c#K|j}|j||}|j||D] }|||f yw)zuYields ((fieldname, text), terminfo) tuples for all terms in the reader, starting at the given term. N)rxrjru)r*rhrirxrWs r iter_fromzIndexReader.iter_fromsM NN ""9d3OOIt4 +DD)* * +sAAc#K|j||}|j||D]\\}}}||k7ry||fyw)zIYields (text, terminfo) tuples for all terms in the given field. N)rjr)r*rhrsr|riterminfos r iter_fieldzIndexReader.iter_fieldsQ$$Y7$(NN9f$E ! JRY.  !s>Ac#K|j||}|j||D]\}}|j|sy||f yw)zgYields (text, terminfo) tuples for all terms in the given field with a certain prefix. N)rjrr{)r*rhrsrirs r iter_prefixzIndexReader.iter_prefix%sR $$Y7"ooi@ #ND(??6*" " #sAA ct)zTReturns True if the underlying index/segment has deleted documents. rTr;s r has_deletionszIndexReader.has_deletions0ryrc`|jfdt|jDS)zKReturns an iterator of all (undeleted) document IDs in the reader. c32K|]}|s|ywr"r).0r7 is_deleteds r z*IndexReader.all_doc_ids..=s +6!&)+s)rr doc_count_all)r*rs @r all_doc_idszIndexReader.all_doc_ids8s-__ +VD,>,>,@%A+ +rc#`K|jD]}||j|fyw)zvYields a series of ``(docnum, stored_fields_dict)`` tuples for the undeleted documents in the reader. N)r stored_fieldsr*r7s r iter_docszIndexReader.iter_docs@s6 &&( 5F$,,V44 4 5rct)zEReturns True if the given document number is marked deleted. rTrs rrzIndexReader.is_deletedHrYrct)zReturns the stored fields for the given document number. :param numerickeys: use field numbers as the dictionary keys instead of field names. rTrs rrzIndexReader.stored_fieldsOs "!rc#K|j}t|jD]}||r |j| yw)z@Yields the stored fields for all non-deleted documents. N)rr rr)r*rr7s rall_stored_fieldszIndexReader.all_stored_fieldsYsG__ T//12 1Ff%((00 1s 1A A ct)z]Returns the total number of documents, DELETED OR UNDELETED, in this reader. rTr;s rrzIndexReader.doc_count_allbryrcD|j|jz S)zHReturns the total number of UNDELETED documents in this reader. )r deleted_countr;s r doc_countzIndexReader.doc_countjs! !!#d&8&8&:::rct)z[Returns the total number of instances of the given term in the collection. rTrgs r frequencyzIndexReader.frequencyqrYrct)z>Returns how many documents the given term appears in. rTrgs rr=zIndexReader.doc_frequencyxs "!rct)zoReturns the total number of terms in the given field. This is used by some scoring algorithms. rTr*rhs r field_lengthzIndexReader.field_length~rYrctzwReturns the minimum length of the field across all documents. This is used by some scoring algorithms. rTrs rmin_field_lengthzIndexReader.min_field_lengthrYrctrrTrs rmax_field_lengthzIndexReader.max_field_lengthrYrct)zReturns the number of terms in the given field in the given document. This is used by some scoring algorithms. rTr*r7rhdefaults rdoc_field_lengthzIndexReader.doc_field_lengthrYrc|j||}|j||}|jr|jSt ||f)zxReturns the first ID in the posting list for the given term. This may be optimized in certain backends. )rjpostings is_activeidr)r*rhrips rfirst_idzIndexReader.first_idsJ ""9d3 MM)T * ;;=446MIt,--rc#*K|jD]|\}}|j||}|js)|||j|j |j f|j |jrT~yw)zLow-level method, yields all postings in the reader as ``(fieldname, text, docnum, weight, valuestring)`` tuples. N)rqrrrr+valuer )r*rhrms r iter_postingszIndexReader.iter_postingsss !% 0  Iu i/A++- %QWWYGG++- s9BABBct)arReturns a :class:`~whoosh.matching.Matcher` for the postings of the given term. >>> pr = reader.postings("content", "render") >>> pr.skip_to(10) >>> pr.id 12 :param fieldname: the field name or field number of the term. :param text: the text of the term. :rtype: :class:`whoosh.matching.Matcher` rTrgs rrzIndexReader.postings "!rct)zZReturns True if the given document has a term vector for the given field. rTr*r7rhs r has_vectorzIndexReader.has_vectorrYrNct)a8Returns a :class:`~whoosh.matching.Matcher` object for the given term vector. >>> docnum = searcher.document_number(path=u'/a/b/c') >>> v = searcher.vector(docnum, "content") >>> v.all_as("frequency") [(u"apple", 3), (u"bear", 2), (u"cab", 2)] :param docnum: the document number of the document for which you want the term vector. :param fieldname: the field name or field number of the field for which you want the term vector. :rtype: :class:`whoosh.matching.Matcher` rTr*r7rhformat_s rvectorzIndexReader.vectors "!rc#K|j||}|dk(rU|jrD|j|jf|j |jrCyy|j |j }|j|}|jrJ|j||jf|j |jrIyyw)aReturns an iterator of (termtext, value) pairs for the terms in the given term vector. This is a convenient shortcut to calling vector() and using the Matcher object when all you want are the terms and/or values. >>> docnum = searcher.document_number(path=u'/a/b/c') >>> searcher.vector_as("frequency", docnum, "content") [(u"apple", 3), (u"bear", 2), (u"cab", 2)] :param docnum: the document number of the document for which you want the term vector. :param fieldname: the field name or field number of the field for which you want the term vector. :param astype: a string containing the name of the format you want the term vector's data in, for example "weights". r+N) rrrr+r reformatdecoderr)r*astyper7rhvecrrs r vector_aszIndexReader.vector_ass$kk&), X --/vvx.. --/kk),33Goof-G--/vvx!566 --/sA*C4-BC42C4c@ddlm}|j|}||||S)zReturns a :class:`whoosh.spelling.Corrector` object that suggests corrections based on the terms in the given field. r)ReaderCorrector)whoosh.spellingrre)r*rhrfieldobjs r correctorzIndexReader.correctors$ 4;;y)tY99rc#K|j|}|j||d|D]+}|j|}t|||}||ks(|-yw)aJ Returns a generator of words in the given field within ``maxdist`` Damerau-Levenshtein edit distance of the given text. Important: the terms are returned in **no particular order**. The only criterion is that they are within ``maxdist`` edits of ``text``. You may want to run this method multiple times with increasing ``maxdist`` values to ensure you get the closest matches first. You may also have additional information (such as term frequency or an acoustic matching algorithm) you can use to rank terms with the same edit distance. :param maxdist: the maximum edit distance. :param prefix: require suggestions to share a prefix of this length with the given word. This is often justifiable since most misspellings do not involve the first letter of the word. Using a prefix dramatically decreases the time it takes to generate the list of words. :param seen: an optional set object. Words that appear in the set will not be yielded. N)limit)rer}rr) r*rhrimaxdistrsrrwordks r terms_withinzIndexReader.terms_withinsb,;;y)'' 4=A E&&u-Dt73AG|  s A AAcLd|j||D}t||S)zwReturns the top 'number' most frequent terms in the given field as a list of (frequency, text) tuples. c3FK|]\}}|j|fywr"r+)rrirs rrz2IndexReader.most_frequent_terms..$s$7^T8!4(7s!)rr)r*rhnumberrsgens rmost_frequent_termszIndexReader.most_frequent_termss+ 7""9f57$$rct|jfd|j||D}t||S)zsReturns the top 'number' terms with the highest `tf*idf` scores as a list of (score, text) tuples. c3K|]6\}}|jt|jz z|f8ywr")r+rr=)rrirNs rrz5IndexReader.most_distinctive_terms...sCJ!4!CH,B,B,D(D$EEtLJs> ||))++rcZ|jrt|jjSr")rrrrr;s rrzSegmentReader.doc_count}" >> ||%%''rcZ|jrt|jjSr")rrrrr;s rrzSegmentReader.doc_count_allr rc\|jrt|jj|Sr")rrrrrs rrzSegmentReader.is_deleteds$ >> ||&&v..rc|jSr"rr;s rrmzSegmentReader.generation yyrch|jjd|jd|jdS)N(z, )) __class__rrrr;s r__repr__zSegmentReader.__repr__s&#~~66 #}}. .rc|jrt|\}}||jvry|j||}||f|jvSr)rrrerjr)r*rWrhris rrXzSegmentReader.__contains__sM >>  4 DKK '""9d34 DKK//rc|jr td|jj|jj|j r|j jd|_y)NzReader already closedT)rrrrPrrr;s rrPzSegmentReader.closesU >>67 7   == MM   !rc|jrt|dk\sJ|j|jj |}t fdt |DS)Nrc32K|]}|dvs |ywrNr)ritemres rrz.SegmentReader.stored_fields..sITtAw&7HDIs )rrrerrdictr)r*r7sfsres @rrzSegmentReader.stored_fieldssN >> {{ll((0IYs^IIIrcZ|jrt|jjSr")rrrrr;s rrzSegmentReader.all_doc_idss" >> ||''))rcZ|jrt|jjSr")rrrrr;s rrzSegmentReader.iter_docsr rcZ|jrt|jjSr")rrrrr;s rrzSegmentReader.all_stored_fieldss" >> ||--//rc\|jrt|jj|Sr")rrrrrs rrzSegmentReader.field_lengths$ >> ||((33rc\|jrt|jj|Sr")rrrrrs rrzSegmentReader.min_field_length$ >> ||,,Y77rc\|jrt|jj|Sr")rrrrrs rrzSegmentReader.max_field_lengthr#rc`|jrt|jj|||Sr")rrrrrs rrzSegmentReader.doc_field_lengths( >> ||,,VYHHrc^|jrt|jj||Sr")rrrrrs rrzSegmentReader.has_vectors& >> ||&&vy99rc|jrt||jvrtd|z|j|jtd|zy)Nz No field %rzField %r is not indexed)rrrerrrs r _test_fieldzSegmentReader._test_fieldsV >>  DKK '}y89 9 ;;y ! 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II* *I +rcHtdt|j|dz S)Nrr4)r5rrrs r_document_segmentzMultiReader._document_segments!1l4#3#3V.s>A1>>$'>anyrrVs `rrXzMultiReader.__contains__s>>>>rc#Ki}|D]}||t|<g}|D]*} t|}|j|t|f,t |}|dk(r|d\}}||}||D]}|yt ||rY|dd}|rG|dd|k(r<||dd} t|}t ||t|f|r |dd|k(r<||rXyy#t$rYwxYw#t$rt||dz}YAwxYww)Nr4r)rr StopIterationrlenrrr) r*iterlistitermapitcurrentrWactiveitidnextterms r _merge_termszMultiReader._merge_termss^ !B GBrFO !  +B Bx NND"R&> *  +W Q; JD$BJ     1:a=DWQZ]d2WQZ]+ #BxH(BrF);< WQZ]d2J#!  6% G$aKF sXD  CA8D &"C. D D D  C+(D *C++D .D D  D  D ct}|jD]!}|j|j#t |Sr")setrupdaterorh)r*namesrs rrozMultiReader.indexed_field_namesFs; 2A LL..0 1 2E{rcz|j|jDcgc]}|jc}Scc}wr")rrrq)r*rs rrqzMultiReader.all_termsLs+  !FA!++-!FGG!Fs8c ~|j|jDcgc]}|j||c}Scc}wr")rrru)r*rhrsrs rruzMultiReader.terms_fromOs?  +/<<"9&'#$,,y&"A"9: :"9s:c||f}t|j|jDcgc]\}}||vr|j|||f}}}|s t |t |Scc}}wr")r rrrxrcombine_terminfos)r*rhrirWrrtiss rrxzMultiReader.term_infoSsz4 t||T%5%56E)!V:>!) 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