+#
+# $Id: sphinxapi.py 1216 2008-03-14 23:25:39Z shodan $
+#
+# Python version of Sphinx searchd client (Python API)
+#
+# Copyright (c) 2006-2008, Andrew Aksyonoff
+# Copyright (c) 2006, Mike Osadnik
+# All rights reserved
+#
+# This program is free software; you can redistribute it and/or modify
+# it under the terms of the GNU General Public License. You should have
+# received a copy of the GPL license along with this program; if you
+# did not, you can find it at http://www.gnu.org/
+#
+
+import sys
+import select
+import socket
+from struct import *
+
+
+# known searchd commands
+SEARCHD_COMMAND_SEARCH = 0
+SEARCHD_COMMAND_EXCERPT = 1
+SEARCHD_COMMAND_UPDATE = 2
+SEARCHD_COMMAND_KEYWORDS= 3
+
+# current client-side command implementation versions
+VER_COMMAND_SEARCH = 0x113
+VER_COMMAND_EXCERPT = 0x100
+VER_COMMAND_UPDATE = 0x101
+VER_COMMAND_KEYWORDS = 0x100
+
+# known searchd status codes
+SEARCHD_OK = 0
+SEARCHD_ERROR = 1
+SEARCHD_RETRY = 2
+SEARCHD_WARNING = 3
+
+# known match modes
+SPH_MATCH_ALL = 0
+SPH_MATCH_ANY = 1
+SPH_MATCH_PHRASE = 2
+SPH_MATCH_BOOLEAN = 3
+SPH_MATCH_EXTENDED = 4
+SPH_MATCH_FULLSCAN = 5
+SPH_MATCH_EXTENDED2 = 6
+
+# known ranking modes (extended2 mode only)
+SPH_RANK_PROXIMITY_BM25 = 0 # default mode, phrase proximity major factor and BM25 minor one
+SPH_RANK_BM25 = 1 # statistical mode, BM25 ranking only (faster but worse quality)
+SPH_RANK_NONE = 2 # no ranking, all matches get a weight of 1
+SPH_RANK_WORDCOUNT = 3 # simple word-count weighting, rank is a weighted sum of per-field keyword occurence counts
+
+# known sort modes
+SPH_SORT_RELEVANCE = 0
+SPH_SORT_ATTR_DESC = 1
+SPH_SORT_ATTR_ASC = 2
+SPH_SORT_TIME_SEGMENTS = 3
+SPH_SORT_EXTENDED = 4
+SPH_SORT_EXPR = 5
+
+# known filter types
+SPH_FILTER_VALUES = 0
+SPH_FILTER_RANGE = 1
+SPH_FILTER_FLOATRANGE = 2
+
+# known attribute types
+SPH_ATTR_NONE = 0
+SPH_ATTR_INTEGER = 1
+SPH_ATTR_TIMESTAMP = 2
+SPH_ATTR_ORDINAL = 3
+SPH_ATTR_BOOL = 4
+SPH_ATTR_FLOAT = 5
+SPH_ATTR_MULTI = 0X40000000L
+
+# known grouping functions
+SPH_GROUPBY_DAY = 0
+SPH_GROUPBY_WEEK = 1
+SPH_GROUPBY_MONTH = 2
+SPH_GROUPBY_YEAR = 3
+SPH_GROUPBY_ATTR = 4
+
+
+class SphinxClient:
+ def __init__ (self):
+ """
+ Create a new client object, and fill defaults.
+ """
+ self._host = 'localhost' # searchd host (default is "localhost")
+ self._port = 3312 # searchd port (default is 3312)
+ self._offset = 0 # how much records to seek from result-set start (default is 0)
+ self._limit = 20 # how much records to return from result-set starting at offset (default is 20)
+ self._mode = SPH_MATCH_ALL # query matching mode (default is SPH_MATCH_ALL)
+ self._weights = [] # per-field weights (default is 1 for all fields)
+ self._sort = SPH_SORT_RELEVANCE # match sorting mode (default is SPH_SORT_RELEVANCE)
+ self._sortby = '' # attribute to sort by (defualt is "")
+ self._min_id = 0 # min ID to match (default is 0)
+ self._max_id = 0xFFFFFFFF # max ID to match (default is UINT_MAX)
+ self._filters = [] # search filters
+ self._groupby = '' # group-by attribute name
+ self._groupfunc = SPH_GROUPBY_DAY # group-by function (to pre-process group-by attribute value with)
+ self._groupsort = '@group desc' # group-by sorting clause (to sort groups in result set with)
+ self._groupdistinct = '' # group-by count-distinct attribute
+ self._maxmatches = 1000 # max matches to retrieve
+ self._cutoff = 0 # cutoff to stop searching at
+ self._retrycount = 0 # distributed retry count
+ self._retrydelay = 0 # distributed retry delay
+ self._anchor = {} # geographical anchor point
+ self._indexweights = {} # per-index weights
+ self._ranker = SPH_RANK_PROXIMITY_BM25 # ranking mode
+ self._maxquerytime = 0 # max query time, milliseconds (default is 0, do not limit)
+ self._fieldweights = {} # per-field-name weights
+ self._error = '' # last error message
+ self._warning = '' # last warning message
+ self._reqs = [] # requests array for multi-query
+ return
+
+
+ def GetLastError (self):
+ """
+ Get last error message (string).
+ """
+ return self._error
+
+
+ def GetLastWarning (self):
+ """
+ Get last warning message (string).
+ """
+ return self._warning
+
+
+ def SetServer (self, host, port):
+ """
+ Set searchd server host and port.
+ """
+ assert(isinstance(host, str))
+ assert(isinstance(port, int))
+ self._host = host
+ self._port = port
+
+
+ def _Connect (self):
+ """
+ INTERNAL METHOD, DO NOT CALL. Connects to searchd server.
+ """
+ try:
+ sock = socket.socket ( socket.AF_INET, socket.SOCK_STREAM )
+ sock.connect ( ( self._host, self._port ) )
+ except socket.error, msg:
+ if sock:
+ sock.close()
+ self._error = 'connection to %s:%s failed (%s)' % ( self._host, self._port, msg )
+ return 0
+
+ v = unpack('>L', sock.recv(4))
+ if v<1:
+ sock.close()
+ self._error = 'expected searchd protocol version, got %s' % v
+ return 0
+
+ # all ok, send my version
+ sock.send(pack('>L', 1))
+ return sock
+
+
+ def _GetResponse (self, sock, client_ver):
+ """
+ INTERNAL METHOD, DO NOT CALL. Gets and checks response packet from searchd server.
+ """
+ (status, ver, length) = unpack('>2HL', sock.recv(8))
+ response = ''
+ left = length
+ while left>0:
+ chunk = sock.recv(left)
+ if chunk:
+ response += chunk
+ left -= len(chunk)
+ else:
+ break
+
+ sock.close()
+
+ # check response
+ read = len(response)
+ if not response or read!=length:
+ if length:
+ self._error = 'failed to read searchd response (status=%s, ver=%s, len=%s, read=%s)' \
+ % (status, ver, length, read)
+ else:
+ self._error = 'received zero-sized searchd response'
+ return None
+
+ # check status
+ if status==SEARCHD_WARNING:
+ wend = 4 + unpack ( '>L', response[0:4] )[0]
+ self._warning = response[4:wend]
+ return response[wend:]
+
+ if status==SEARCHD_ERROR:
+ self._error = 'searchd error: '+response[4:]
+ return None
+
+ if status==SEARCHD_RETRY:
+ self._error = 'temporary searchd error: '+response[4:]
+ return None
+
+ if status!=SEARCHD_OK:
+ self._error = 'unknown status code %d' % status
+ return None
+
+ # check version
+ if ver<client_ver:
+ self._warning = 'searchd command v.%d.%d older than client\'s v.%d.%d, some options might not work' \
+ % (ver>>8, ver&0xff, client_ver>>8, client_ver&0xff)
+
+ return response
+
+
+ def SetLimits (self, offset, limit, maxmatches=0, cutoff=0):
+ """
+ Set offset and count into result set, and optionally set max-matches and cutoff limits.
+ """
+ assert(isinstance(offset, int) and offset>=0)
+ assert(isinstance(limit, int) and limit>0)
+ assert(maxmatches>=0)
+ self._offset = offset
+ self._limit = limit
+ if maxmatches>0:
+ self._maxmatches = maxmatches
+ if cutoff>=0:
+ self._cutoff = cutoff
+
+
+ def SetMaxQueryTime (self, maxquerytime):
+ """
+ Set maximum query time, in milliseconds, per-index. 0 means 'do not limit'.
+ """
+ assert(isinstance(maxquerytime,int) and maxquerytime>0)
+ self._maxquerytime = maxquerytime
+
+
+ def SetMatchMode (self, mode):
+ """
+ Set matching mode.
+ """
+ assert(mode in [SPH_MATCH_ALL, SPH_MATCH_ANY, SPH_MATCH_PHRASE, SPH_MATCH_BOOLEAN, SPH_MATCH_EXTENDED, SPH_MATCH_FULLSCAN, SPH_MATCH_EXTENDED2])
+ self._mode = mode
+
+
+ def SetRankingMode (self, ranker):
+ """
+ Set ranking mode.
+ """
+ assert(ranker in [SPH_RANK_PROXIMITY_BM25, SPH_RANK_BM25, SPH_RANK_NONE, SPH_RANK_WORDCOUNT])
+ self._ranker = ranker
+
+
+ def SetSortMode ( self, mode, clause='' ):
+ """
+ Set sorting mode.
+ """
+ assert ( mode in [SPH_SORT_RELEVANCE, SPH_SORT_ATTR_DESC, SPH_SORT_ATTR_ASC, SPH_SORT_TIME_SEGMENTS, SPH_SORT_EXTENDED, SPH_SORT_EXPR] )
+ assert ( isinstance ( clause, str ) )
+ self._sort = mode
+ self._sortby = clause
+
+
+ def SetWeights (self, weights):
+ """
+ Set per-field weights.
+ WARNING, DEPRECATED; do not use it! use SetFieldWeights() instead
+ """
+ assert(isinstance(weights, list))
+ for w in weights:
+ assert(isinstance(w, int))
+ self._weights = weights
+
+
+ def SetFieldWeights (self, weights):
+ """
+ Bind per-field weights by name; expects (name,field_weight) dictionary as argument.
+ """
+ assert(isinstance(weights,dict))
+ for key,val in weights.items():
+ assert(isinstance(key,str))
+ assert(isinstance(val,int))
+ self._fieldweights = weights
+
+
+ def SetIndexWeights (self, weights):
+ """
+ Bind per-index weights by name; expects (name,index_weight) dictionary as argument.
+ """
+ assert(isinstance(weights,dict))
+ for key,val in weights.items():
+ assert(isinstance(key,str))
+ assert(isinstance(val,int))
+ self._indexweights = weights
+
+
+ def SetIDRange (self, minid, maxid):
+ """
+ Set IDs range to match.
+ Only match records if document ID is beetwen $min and $max (inclusive).
+ """
+ assert(isinstance(minid, int))
+ assert(isinstance(maxid, int))
+ assert(minid<=maxid)
+ self._min_id = minid
+ self._max_id = maxid
+
+
+ def SetFilter ( self, attribute, values, exclude=0 ):
+ """
+ Set values set filter.
+ Only match records where 'attribute' value is in given 'values' set.
+ """
+ assert(isinstance(attribute, str))
+ assert(isinstance(values, list))
+ assert(values)
+
+ for value in values:
+ assert(isinstance(value, int))
+
+ self._filters.append ( { 'type':SPH_FILTER_VALUES, 'attr':attribute, 'exclude':exclude, 'values':values } )
+
+
+ def SetFilterRange (self, attribute, min_, max_, exclude=0 ):
+ """
+ Set range filter.
+ Only match records if 'attribute' value is beetwen 'min_' and 'max_' (inclusive).
+ """
+ assert(isinstance(attribute, str))
+ assert(isinstance(min_, int))
+ assert(isinstance(max_, int))
+ assert(min_<=max_)
+
+ self._filters.append ( { 'type':SPH_FILTER_RANGE, 'attr':attribute, 'exclude':exclude, 'min':min_, 'max':max_ } )
+
+
+ def SetFilterFloatRange (self, attribute, min_, max_, exclude=0 ):
+ assert(isinstance(attribute,str))
+ assert(isinstance(min_,float))
+ assert(isinstance(max_,float))
+ assert(min_ <= max_)
+ self._filters.append ( {'type':SPH_FILTER_FLOATRANGE, 'attr':attribute, 'exclude':exclude, 'min':min_, 'max':max_} )
+
+
+ def SetGeoAnchor (self, attrlat, attrlong, latitude, longitude):
+ assert(isinstance(attrlat,str))
+ assert(isinstance(attrlong,str))
+ assert(isinstance(latitude,float))
+ assert(isinstance(longitude,float))
+ self._anchor['attrlat'] = attrlat
+ self._anchor['attrlong'] = attrlong
+ self._anchor['lat'] = latitude
+ self._anchor['long'] = longitude
+
+
+ def SetGroupBy ( self, attribute, func, groupsort='@group desc' ):
+ """
+ Set grouping attribute and function.
+ """
+ assert(isinstance(attribute, str))
+ assert(func in [SPH_GROUPBY_DAY, SPH_GROUPBY_WEEK, SPH_GROUPBY_MONTH, SPH_GROUPBY_YEAR, SPH_GROUPBY_ATTR] )
+ assert(isinstance(groupsort, str))
+
+ self._groupby = attribute
+ self._groupfunc = func
+ self._groupsort = groupsort
+
+
+ def SetGroupDistinct (self, attribute):
+ assert(isinstance(attribute,str))
+ self._groupdistinct = attribute
+
+
+ def SetRetries (self, count, delay=0):
+ assert(isinstance(count,int) and count>=0)
+ assert(isinstance(delay,int) and delay>=0)
+ self._retrycount = count
+ self._retrydelay = delay
+
+
+ def ResetFilters (self):
+ """
+ Clear all filters (for multi-queries).
+ """
+ self._filters = []
+ self._anchor = {}
+
+
+ def ResetGroupBy (self):
+ """
+ Clear groupby settings (for multi-queries).
+ """
+ self._groupby = ''
+ self._groupfunc = SPH_GROUPBY_DAY
+ self._groupsort = '@group desc'
+ self._groupdistinct = ''
+
+
+ def Query (self, query, index='*', comment=''):
+ """
+ Connect to searchd server and run given search query.
+ Returns None on failure; result set hash on success (see documentation for details).
+ """
+ assert(len(self._reqs)==0)
+ self.AddQuery(query,index,comment)
+ results = self.RunQueries()
+
+ if not results or len(results)==0:
+ return None
+ self._error = results[0]['error']
+ self._warning = results[0]['warning']
+ if results[0]['status'] == SEARCHD_ERROR:
+ return None
+ return results[0]
+
+
+ def AddQuery (self, query, index='*', comment=''):
+ """
+ Add query to batch.
+ """
+ # build request
+ req = [pack('>5L', self._offset, self._limit, self._mode, self._ranker, self._sort)]
+ req.append(pack('>L', len(self._sortby)))
+ req.append(self._sortby)
+
+ if isinstance(query,unicode):
+ query = query.encode('utf-8')
+ assert(isinstance(query,str))
+
+ req.append(pack('>L', len(query)))
+ req.append(query)
+
+ req.append(pack('>L', len(self._weights)))
+ for w in self._weights:
+ req.append(pack('>L', w))
+ req.append(pack('>L', len(index)))
+ req.append(index)
+ req.append(pack('>L',0)) # id64 range marker FIXME! IMPLEMENT!
+ req.append(pack('>L', self._min_id))
+ req.append(pack('>L', self._max_id))
+
+ # filters
+ req.append ( pack ( '>L', len(self._filters) ) )
+ for f in self._filters:
+ req.append ( pack ( '>L', len(f['attr'])) + f['attr'])
+ filtertype = f['type']
+ req.append ( pack ( '>L', filtertype))
+ if filtertype == SPH_FILTER_VALUES:
+ req.append ( pack ('>L', len(f['values'])))
+ for val in f['values']:
+ req.append ( pack ('>L', val))
+ elif filtertype == SPH_FILTER_RANGE:
+ req.append ( pack ('>2L', f['min'], f['max']))
+ elif filtertype == SPH_FILTER_FLOATRANGE:
+ req.append ( pack ('>2f', f['min'], f['max']))
+ req.append ( pack ( '>L', f['exclude'] ) )
+
+ # group-by, max-matches, group-sort
+ req.append ( pack ( '>2L', self._groupfunc, len(self._groupby) ) )
+ req.append ( self._groupby )
+ req.append ( pack ( '>2L', self._maxmatches, len(self._groupsort) ) )
+ req.append ( self._groupsort )
+ req.append ( pack ( '>LLL', self._cutoff, self._retrycount, self._retrydelay))
+ req.append ( pack ( '>L', len(self._groupdistinct)))
+ req.append ( self._groupdistinct)
+
+ # anchor point
+ if len(self._anchor) == 0:
+ req.append ( pack ('>L', 0))
+ else:
+ attrlat, attrlong = self._anchor['attrlat'], self._anchor['attrlong']
+ latitude, longitude = self._anchor['lat'], self._anchor['long']
+ req.append ( pack ('>L', 1))
+ req.append ( pack ('>L', len(attrlat)) + attrlat)
+ req.append ( pack ('>L', len(attrlong)) + attrlong)
+ req.append ( pack ('>f', latitude) + pack ('>f', longitude))
+
+ # per-index weights
+ req.append ( pack ('>L',len(self._indexweights)))
+ for indx,weight in self._indexweights.items():
+ req.append ( pack ('>L',len(indx)) + indx + pack ('>L',weight))
+
+ # max query time
+ req.append ( pack ('>L', self._maxquerytime) )
+
+ # per-field weights
+ req.append ( pack ('>L',len(self._fieldweights) ) )
+ for field,weight in self._fieldweights.items():
+ req.append ( pack ('>L',len(field)) + field + pack ('>L',weight) )
+
+ # comment
+ req.append ( pack('>L',len(comment)) + comment )
+
+ # send query, get response
+ req = ''.join(req)
+
+ self._reqs.append(req)
+ return
+
+
+ def RunQueries (self):
+ """
+ Run queries batch.
+ Returns None on network IO failure; or an array of result set hashes on success.
+ """
+ if len(self._reqs)==0:
+ self._error = 'no queries defined, issue AddQuery() first'
+ return None
+
+ sock = self._Connect()
+ if not sock:
+ return None
+
+ req = ''.join(self._reqs)
+ length = len(req)+4
+ req = pack('>HHLL', SEARCHD_COMMAND_SEARCH, VER_COMMAND_SEARCH, length, len(self._reqs))+req
+ sock.send(req)
+
+ response = self._GetResponse(sock, VER_COMMAND_SEARCH)
+ if not response:
+ return None
+
+ nreqs = len(self._reqs)
+
+ # parse response
+ max_ = len(response)
+ p = 0
+
+ results = []
+ for i in range(0,nreqs,1):
+ result = {}
+ result['error'] = ''
+ result['warning'] = ''
+ status = unpack('>L', response[p:p+4])[0]
+ p += 4
+ result['status'] = status
+ if status != SEARCHD_OK:
+ length = unpack('>L', response[p:p+4])[0]
+ p += 4
+ message = response[p:p+length]
+ p += length
+
+ if status == SEARCHD_WARNING:
+ result['warning'] = message
+ else:
+ result['error'] = message
+ continue
+
+ # read schema
+ fields = []
+ attrs = []
+
+ nfields = unpack('>L', response[p:p+4])[0]
+ p += 4
+ while nfields>0 and p<max_:
+ nfields -= 1
+ length = unpack('>L', response[p:p+4])[0]
+ p += 4
+ fields.append(response[p:p+length])
+ p += length
+
+ result['fields'] = fields
+
+ nattrs = unpack('>L', response[p:p+4])[0]
+ p += 4
+ while nattrs>0 and p<max_:
+ nattrs -= 1
+ length = unpack('>L', response[p:p+4])[0]
+ p += 4
+ attr = response[p:p+length]
+ p += length
+ type_ = unpack('>L', response[p:p+4])[0]
+ p += 4
+ attrs.append([attr,type_])
+
+ result['attrs'] = attrs
+
+ # read match count
+ count = unpack('>L', response[p:p+4])[0]
+ p += 4
+ id64 = unpack('>L', response[p:p+4])[0]
+ p += 4
+
+ # read matches
+ result['matches'] = []
+ while count>0 and p<max_:
+ count -= 1
+ if id64:
+ dochi, doc, weight = unpack('>3L', response[p:p+12])
+ doc += (dochi<<32)
+ p += 12
+ else:
+ doc, weight = unpack('>2L', response[p:p+8])
+ p += 8
+
+ match = { 'id':doc, 'weight':weight, 'attrs':{} }
+ for i in range(len(attrs)):
+ if attrs[i][1] == SPH_ATTR_FLOAT:
+ match['attrs'][attrs[i][0]] = unpack('>f', response[p:p+4])[0]
+ elif attrs[i][1] == (SPH_ATTR_MULTI | SPH_ATTR_INTEGER):
+ match['attrs'][attrs[i][0]] = []
+ nvals = unpack('>L', response[p:p+4])[0]
+ p += 4
+ for n in range(0,nvals,1):
+ match['attrs'][attrs[i][0]].append(unpack('>L', response[p:p+4])[0])
+ p += 4
+ p -= 4
+ else:
+ match['attrs'][attrs[i][0]] = unpack('>L', response[p:p+4])[0]
+ p += 4
+
+ result['matches'].append ( match )
+
+ result['total'], result['total_found'], result['time'], words = unpack('>4L', response[p:p+16])
+
+ result['time'] = '%.3f' % (result['time']/1000.0)
+ p += 16
+
+ result['words'] = []
+ while words>0:
+ words -= 1
+ length = unpack('>L', response[p:p+4])[0]
+ p += 4
+ word = response[p:p+length]
+ p += length
+ docs, hits = unpack('>2L', response[p:p+8])
+ p += 8
+
+ result['words'].append({'word':word, 'docs':docs, 'hits':hits})
+
+ results.append(result)
+
+ self._reqs = []
+ sock.close()
+ return results
+
+
+ def BuildExcerpts (self, docs, index, words, opts=None):
+ """
+ Connect to searchd server and generate exceprts from given documents.
+ """
+ if not opts:
+ opts = {}
+ if isinstance(words,unicode):
+ words = words.encode('utf-8')
+
+ assert(isinstance(docs, list))
+ assert(isinstance(index, str))
+ assert(isinstance(words, str))
+ assert(isinstance(opts, dict))
+
+ sock = self._Connect()
+
+ if not sock:
+ return None
+
+ # fixup options
+ opts.setdefault('before_match', '<b>')
+ opts.setdefault('after_match', '</b>')
+ opts.setdefault('chunk_separator', ' ... ')
+ opts.setdefault('limit', 256)
+ opts.setdefault('around', 5)
+
+ # build request
+ # v.1.0 req
+
+ # mode=0, flags=1 (remove spaces)
+ req = [pack('>2L', 0, 1)]
+
+ # req index
+ req.append(pack('>L', len(index)))
+ req.append(index)
+
+ # req words
+ req.append(pack('>L', len(words)))
+ req.append(words)
+
+ # options
+ req.append(pack('>L', len(opts['before_match'])))
+ req.append(opts['before_match'])
+
+ req.append(pack('>L', len(opts['after_match'])))
+ req.append(opts['after_match'])
+
+ req.append(pack('>L', len(opts['chunk_separator'])))
+ req.append(opts['chunk_separator'])
+
+ req.append(pack('>L', int(opts['limit'])))
+ req.append(pack('>L', int(opts['around'])))
+
+ # documents
+ req.append(pack('>L', len(docs)))
+ for doc in docs:
+ if isinstance(doc,unicode):
+ doc = doc.encode('utf-8')
+ assert(isinstance(doc, str))
+ req.append(pack('>L', len(doc)))
+ req.append(doc)
+
+ req = ''.join(req)
+
+ # send query, get response
+ length = len(req)
+
+ # add header
+ req = pack('>2HL', SEARCHD_COMMAND_EXCERPT, VER_COMMAND_EXCERPT, length)+req
+ wrote = sock.send(req)
+
+ response = self._GetResponse(sock, VER_COMMAND_EXCERPT )
+ if not response:
+ return []
+
+ # parse response
+ pos = 0
+ res = []
+ rlen = len(response)
+
+ for i in range(len(docs)):
+ length = unpack('>L', response[pos:pos+4])[0]
+ pos += 4
+
+ if pos+length > rlen:
+ self._error = 'incomplete reply'
+ return []
+
+ res.append(response[pos:pos+length])
+ pos += length
+
+ return res
+
+
+ def UpdateAttributes ( self, index, attrs, values ):
+ """
+ Update given attribute values on given documents in given indexes.
+ Returns amount of updated documents (0 or more) on success, or -1 on failure.
+
+ 'attrs' must be a list of strings.
+ 'values' must be a dict with int key (document ID) and list of int values (new attribute values).
+
+ Example:
+ res = cl.UpdateAttributes ( 'test1', [ 'group_id', 'date_added' ], { 2:[123,1000000000], 4:[456,1234567890] } )
+ """
+ assert ( isinstance ( index, str ) )
+ assert ( isinstance ( attrs, list ) )
+ assert ( isinstance ( values, dict ) )
+ for attr in attrs:
+ assert ( isinstance ( attr, str ) )
+ for docid, entry in values.items():
+ assert ( isinstance ( docid, int ) )
+ assert ( isinstance ( entry, list ) )
+ assert ( len(attrs)==len(entry) )
+ for val in entry:
+ assert ( isinstance ( val, int ) )
+
+ # build request
+ req = [ pack('>L',len(index)), index ]
+
+ req.append ( pack('>L',len(attrs)) )
+ for attr in attrs:
+ req.append ( pack('>L',len(attr)) + attr )
+
+ req.append ( pack('>L',len(values)) )
+ for docid, entry in values.items():
+ req.append ( pack('>q',docid) )
+ for val in entry:
+ req.append ( pack('>L',val) )
+
+ # connect, send query, get response
+ sock = self._Connect()
+ if not sock:
+ return None
+
+ req = ''.join(req)
+ length = len(req)
+ req = pack ( '>2HL', SEARCHD_COMMAND_UPDATE, VER_COMMAND_UPDATE, length ) + req
+ wrote = sock.send ( req )
+
+ response = self._GetResponse ( sock, VER_COMMAND_UPDATE )
+ if not response:
+ return -1
+
+ # parse response
+ updated = unpack ( '>L', response[0:4] )[0]
+ return updated
+
+
+ def BuildKeywords ( self, query, index, hits ):
+ """
+ Connect to searchd server, and generate keywords list for a given query.
+ Returns None on failure, or a list of keywords on success.
+ """
+ assert ( isinstance ( query, str ) )
+ assert ( isinstance ( index, str ) )
+ assert ( isinstance ( hits, int ) )
+
+ # build request
+ req = [ pack ( '>L', len(query) ) + query ]
+ req.append ( pack ( '>L', len(index) ) + index )
+ req.append ( pack ( '>L', hits ) )
+
+ # connect, send query, get response
+ sock = self._Connect()
+ if not sock:
+ return None
+
+ req = ''.join(req)
+ length = len(req)
+ req = pack ( '>2HL', SEARCHD_COMMAND_KEYWORDS, VER_COMMAND_KEYWORDS, length ) + req
+ wrote = sock.send ( req )
+
+ response = self._GetResponse ( sock, VER_COMMAND_KEYWORDS )
+ if not response:
+ return None
+
+ # parse response
+ res = []
+
+ nwords = unpack ( '>L', response[0:4] )[0]
+ p = 4
+ max_ = len(response)
+
+ while nwords>0 and p<max_:
+ nwords -= 1
+
+ length = unpack ( '>L', response[p:p+4] )[0]
+ p += 4
+ tokenized = response[p:p+length]
+ p += length
+
+ length = unpack ( '>L', response[p:p+4] )[0]
+ p += 4
+ normalized = response[p:p+length]
+ p += length
+
+ entry = { 'tokenized':tokenized, 'normalized':normalized }
+ if hits:
+ entry['docs'], entry['hits'] = unpack ( '>2L', response[p:p+8] )
+ p += 8
+
+ res.append ( entry )
+
+ if nwords>0 or p>max_:
+ self._error = 'incomplete reply'
+ return None
+
+ return res
+#
+# $Id: sphinxapi.py 1216 2008-03-14 23:25:39Z shodan $
+#
\ No newline at end of file
fnp / wolnelektury.git / blobdiff