X-Git-Url: https://git.mdrn.pl/wolnelektury.git/blobdiff_plain/db833ba4517084f61a64907c6d15606e7c881edd..6ab5e576c0bccd88cc5d4e6924373a5e393b0fa1:/apps/djangosphinx/apis/api275/__init__.py diff --git a/apps/djangosphinx/apis/api275/__init__.py b/apps/djangosphinx/apis/api275/__init__.py deleted file mode 100644 index 236a5a20d..000000000 --- a/apps/djangosphinx/apis/api275/__init__.py +++ /dev/null @@ -1,855 +0,0 @@ -# -# $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>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 pL', 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 pL', 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 p3L', 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', '') - opts.setdefault('after_match', '') - 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 pL', 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