Added sphinxsearch's sphinxapi.py it is gross.
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#
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# $Id$
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#
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# Python version of Sphinx searchd client (Python API)
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#
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# Copyright (c) 2006-2008, Andrew Aksyonoff
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# Copyright (c) 2006, Mike Osadnik
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# All rights reserved
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#
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# This program is free software; you can redistribute it and/or modify
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# it under the terms of the GNU General Public License. You should have
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# received a copy of the GPL license along with this program; if you
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# did not, you can find it at http://www.gnu.org/
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#
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import sys
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import select
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import socket
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import re
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from struct import *
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# known searchd commands
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SEARCHD_COMMAND_SEARCH = 0
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SEARCHD_COMMAND_EXCERPT = 1
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SEARCHD_COMMAND_UPDATE = 2
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SEARCHD_COMMAND_KEYWORDS= 3
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SEARCHD_COMMAND_PERSIST = 4
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# current client-side command implementation versions
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VER_COMMAND_SEARCH = 0x116
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VER_COMMAND_EXCERPT = 0x100
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VER_COMMAND_UPDATE = 0x101
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VER_COMMAND_KEYWORDS = 0x100
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# known searchd status codes
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SEARCHD_OK = 0
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SEARCHD_ERROR = 1
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SEARCHD_RETRY = 2
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SEARCHD_WARNING = 3
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# known match modes
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SPH_MATCH_ALL = 0
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SPH_MATCH_ANY = 1
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SPH_MATCH_PHRASE = 2
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SPH_MATCH_BOOLEAN = 3
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SPH_MATCH_EXTENDED = 4
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SPH_MATCH_FULLSCAN = 5
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SPH_MATCH_EXTENDED2 = 6
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# known ranking modes (extended2 mode only)
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SPH_RANK_PROXIMITY_BM25 = 0 # default mode, phrase proximity major factor and BM25 minor one
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SPH_RANK_BM25 = 1 # statistical mode, BM25 ranking only (faster but worse quality)
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SPH_RANK_NONE = 2 # no ranking, all matches get a weight of 1
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SPH_RANK_WORDCOUNT = 3 # simple word-count weighting, rank is a weighted sum of per-field keyword occurence counts
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# known sort modes
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SPH_SORT_RELEVANCE = 0
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SPH_SORT_ATTR_DESC = 1
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SPH_SORT_ATTR_ASC = 2
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SPH_SORT_TIME_SEGMENTS = 3
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SPH_SORT_EXTENDED = 4
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SPH_SORT_EXPR = 5
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# known filter types
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SPH_FILTER_VALUES = 0
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SPH_FILTER_RANGE = 1
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SPH_FILTER_FLOATRANGE = 2
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# known attribute types
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SPH_ATTR_NONE = 0
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SPH_ATTR_INTEGER = 1
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SPH_ATTR_TIMESTAMP = 2
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SPH_ATTR_ORDINAL = 3
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SPH_ATTR_BOOL = 4
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SPH_ATTR_FLOAT = 5
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SPH_ATTR_BIGINT = 6
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SPH_ATTR_MULTI = 0X40000000L
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SPH_ATTR_TYPES = (SPH_ATTR_NONE,
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SPH_ATTR_INTEGER,
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SPH_ATTR_TIMESTAMP,
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SPH_ATTR_ORDINAL,
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SPH_ATTR_BOOL,
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SPH_ATTR_FLOAT,
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SPH_ATTR_BIGINT,
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SPH_ATTR_MULTI)
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# known grouping functions
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SPH_GROUPBY_DAY = 0
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SPH_GROUPBY_WEEK = 1
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SPH_GROUPBY_MONTH = 2
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SPH_GROUPBY_YEAR = 3
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SPH_GROUPBY_ATTR = 4
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SPH_GROUPBY_ATTRPAIR = 5
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class SphinxClient:
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def __init__ (self):
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"""
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Create a new client object, and fill defaults.
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"""
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self._host = 'localhost' # searchd host (default is "localhost")
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self._port = 9312 # searchd port (default is 9312)
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self._path = None # searchd unix-domain socket path
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self._socket = None
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self._offset = 0 # how much records to seek from result-set start (default is 0)
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self._limit = 20 # how much records to return from result-set starting at offset (default is 20)
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self._mode = SPH_MATCH_ALL # query matching mode (default is SPH_MATCH_ALL)
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self._weights = [] # per-field weights (default is 1 for all fields)
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self._sort = SPH_SORT_RELEVANCE # match sorting mode (default is SPH_SORT_RELEVANCE)
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self._sortby = '' # attribute to sort by (defualt is "")
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self._min_id = 0 # min ID to match (default is 0)
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self._max_id = 0 # max ID to match (default is UINT_MAX)
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self._filters = [] # search filters
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self._groupby = '' # group-by attribute name
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self._groupfunc = SPH_GROUPBY_DAY # group-by function (to pre-process group-by attribute value with)
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self._groupsort = '@group desc' # group-by sorting clause (to sort groups in result set with)
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self._groupdistinct = '' # group-by count-distinct attribute
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self._maxmatches = 1000 # max matches to retrieve
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self._cutoff = 0 # cutoff to stop searching at
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self._retrycount = 0 # distributed retry count
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self._retrydelay = 0 # distributed retry delay
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self._anchor = {} # geographical anchor point
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self._indexweights = {} # per-index weights
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self._ranker = SPH_RANK_PROXIMITY_BM25 # ranking mode
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self._maxquerytime = 0 # max query time, milliseconds (default is 0, do not limit)
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self._fieldweights = {} # per-field-name weights
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self._overrides = {} # per-query attribute values overrides
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self._select = '*' # select-list (attributes or expressions, with optional aliases)
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self._error = '' # last error message
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self._warning = '' # last warning message
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self._reqs = [] # requests array for multi-query
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def __del__ (self):
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if self._socket:
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self._socket.close()
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def GetLastError (self):
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"""
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Get last error message (string).
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"""
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return self._error
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def GetLastWarning (self):
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"""
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Get last warning message (string).
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"""
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return self._warning
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def SetServer (self, host, port = None):
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"""
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Set searchd server host and port.
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"""
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assert(isinstance(host, str))
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if host.startswith('/'):
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self._path = host
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return
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elif host.startswith('unix://'):
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self._path = host[7:]
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return
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assert(isinstance(port, int))
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self._host = host
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self._port = port
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self._path = None
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def _Connect (self):
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"""
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INTERNAL METHOD, DO NOT CALL. Connects to searchd server.
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"""
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if self._socket:
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# we have a socket, but is it still alive?
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sr, sw, _ = select.select ( [self._socket], [self._socket], [], 0 )
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# this is how alive socket should look
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if len(sr)==0 and len(sw)==1:
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return self._socket
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# oops, looks like it was closed, lets reopen
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self._socket.close()
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self._socket = None
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try:
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if self._path:
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af = socket.AF_UNIX
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addr = self._path
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desc = self._path
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else:
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af = socket.AF_INET
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addr = ( self._host, self._port )
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desc = '%s;%s' % addr
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sock = socket.socket ( af, socket.SOCK_STREAM )
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sock.connect ( addr )
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except socket.error, msg:
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if sock:
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sock.close()
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self._error = 'connection to %s failed (%s)' % ( desc, msg )
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return
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v = unpack('>L', sock.recv(4))
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if v<1:
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sock.close()
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self._error = 'expected searchd protocol version, got %s' % v
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return
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# all ok, send my version
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sock.send(pack('>L', 1))
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return sock
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def _GetResponse (self, sock, client_ver):
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"""
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INTERNAL METHOD, DO NOT CALL. Gets and checks response packet from searchd server.
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"""
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(status, ver, length) = unpack('>2HL', sock.recv(8))
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response = ''
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left = length
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while left>0:
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chunk = sock.recv(left)
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if chunk:
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response += chunk
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left -= len(chunk)
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else:
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break
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if not self._socket:
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sock.close()
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# check response
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read = len(response)
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if not response or read!=length:
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if length:
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self._error = 'failed to read searchd response (status=%s, ver=%s, len=%s, read=%s)' \
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% (status, ver, length, read)
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else:
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self._error = 'received zero-sized searchd response'
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return None
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# check status
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if status==SEARCHD_WARNING:
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wend = 4 + unpack ( '>L', response[0:4] )[0]
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self._warning = response[4:wend]
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return response[wend:]
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if status==SEARCHD_ERROR:
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self._error = 'searchd error: '+response[4:]
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return None
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if status==SEARCHD_RETRY:
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self._error = 'temporary searchd error: '+response[4:]
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return None
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if status!=SEARCHD_OK:
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self._error = 'unknown status code %d' % status
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return None
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# check version
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if ver<client_ver:
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self._warning = 'searchd command v.%d.%d older than client\'s v.%d.%d, some options might not work' \
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% (ver>>8, ver&0xff, client_ver>>8, client_ver&0xff)
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return response
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def SetLimits (self, offset, limit, maxmatches=0, cutoff=0):
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"""
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Set offset and count into result set, and optionally set max-matches and cutoff limits.
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"""
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assert ( type(offset) in [int,long] and 0<=offset<16777216 )
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assert ( type(limit) in [int,long] and 0<limit<16777216 )
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assert(maxmatches>=0)
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self._offset = offset
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self._limit = limit
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if maxmatches>0:
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self._maxmatches = maxmatches
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if cutoff>=0:
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self._cutoff = cutoff
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def SetMaxQueryTime (self, maxquerytime):
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"""
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Set maximum query time, in milliseconds, per-index. 0 means 'do not limit'.
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"""
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assert(isinstance(maxquerytime,int) and maxquerytime>0)
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self._maxquerytime = maxquerytime
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def SetMatchMode (self, mode):
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"""
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Set matching mode.
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"""
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assert(mode in [SPH_MATCH_ALL, SPH_MATCH_ANY, SPH_MATCH_PHRASE, SPH_MATCH_BOOLEAN, SPH_MATCH_EXTENDED, SPH_MATCH_FULLSCAN, SPH_MATCH_EXTENDED2])
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self._mode = mode
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def SetRankingMode (self, ranker):
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"""
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Set ranking mode.
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"""
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assert(ranker in [SPH_RANK_PROXIMITY_BM25, SPH_RANK_BM25, SPH_RANK_NONE, SPH_RANK_WORDCOUNT])
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self._ranker = ranker
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def SetSortMode ( self, mode, clause='' ):
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"""
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Set sorting mode.
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"""
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assert ( mode in [SPH_SORT_RELEVANCE, SPH_SORT_ATTR_DESC, SPH_SORT_ATTR_ASC, SPH_SORT_TIME_SEGMENTS, SPH_SORT_EXTENDED, SPH_SORT_EXPR] )
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assert ( isinstance ( clause, str ) )
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self._sort = mode
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self._sortby = clause
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def SetWeights (self, weights):
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"""
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Set per-field weights.
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WARNING, DEPRECATED; do not use it! use SetFieldWeights() instead
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"""
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assert(isinstance(weights, list))
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for w in weights:
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assert(isinstance(w, int))
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self._weights = weights
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def SetFieldWeights (self, weights):
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"""
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Bind per-field weights by name; expects (name,field_weight) dictionary as argument.
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"""
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assert(isinstance(weights,dict))
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for key,val in weights.items():
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assert(isinstance(key,str))
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assert(isinstance(val,int))
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self._fieldweights = weights
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def SetIndexWeights (self, weights):
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"""
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Bind per-index weights by name; expects (name,index_weight) dictionary as argument.
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"""
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assert(isinstance(weights,dict))
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for key,val in weights.items():
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assert(isinstance(key,str))
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assert(isinstance(val,int))
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self._indexweights = weights
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def SetIDRange (self, minid, maxid):
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"""
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Set IDs range to match.
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Only match records if document ID is beetwen $min and $max (inclusive).
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"""
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assert(isinstance(minid, (int, long)))
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assert(isinstance(maxid, (int, long)))
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assert(minid<=maxid)
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self._min_id = minid
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self._max_id = maxid
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def SetFilter ( self, attribute, values, exclude=0 ):
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"""
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Set values set filter.
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Only match records where 'attribute' value is in given 'values' set.
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"""
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assert(isinstance(attribute, str))
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assert iter(values)
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for value in values:
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assert(isinstance(value, int))
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self._filters.append ( { 'type':SPH_FILTER_VALUES, 'attr':attribute, 'exclude':exclude, 'values':values } )
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def SetFilterRange (self, attribute, min_, max_, exclude=0 ):
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"""
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Set range filter.
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Only match records if 'attribute' value is beetwen 'min_' and 'max_' (inclusive).
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"""
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assert(isinstance(attribute, str))
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assert(isinstance(min_, int))
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assert(isinstance(max_, int))
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assert(min_<=max_)
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self._filters.append ( { 'type':SPH_FILTER_RANGE, 'attr':attribute, 'exclude':exclude, 'min':min_, 'max':max_ } )
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def SetFilterFloatRange (self, attribute, min_, max_, exclude=0 ):
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assert(isinstance(attribute,str))
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assert(isinstance(min_,float))
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assert(isinstance(max_,float))
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||||||
|
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, SPH_GROUPBY_ATTRPAIR] )
|
||||||
|
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 SetOverride (self, name, type, values):
|
||||||
|
assert(isinstance(name, str))
|
||||||
|
assert(type in SPH_ATTR_TYPES)
|
||||||
|
assert(isinstance(values, dict))
|
||||||
|
|
||||||
|
self._overrides[name] = {'name': name, 'type': type, 'values': values}
|
||||||
|
|
||||||
|
def SetSelect (self, select):
|
||||||
|
assert(isinstance(select, str))
|
||||||
|
self._select = select
|
||||||
|
|
||||||
|
|
||||||
|
def ResetOverrides (self):
|
||||||
|
self._overrides = {}
|
||||||
|
|
||||||
|
|
||||||
|
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',1)) # id64 range marker
|
||||||
|
req.append(pack('>Q', self._min_id))
|
||||||
|
req.append(pack('>Q', 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 ('>q', val))
|
||||||
|
elif filtertype == SPH_FILTER_RANGE:
|
||||||
|
req.append ( pack ('>2q', 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 )
|
||||||
|
|
||||||
|
# attribute overrides
|
||||||
|
req.append ( pack('>L', len(self._overrides)) )
|
||||||
|
for v in self._overrides.values():
|
||||||
|
req.extend ( ( pack('>L', len(v['name'])), v['name'] ) )
|
||||||
|
req.append ( pack('>LL', v['type'], len(v['values'])) )
|
||||||
|
for id, value in v['values'].iteritems():
|
||||||
|
req.append ( pack('>Q', id) )
|
||||||
|
if v['type'] == SPH_ATTR_FLOAT:
|
||||||
|
req.append ( pack('>f', value) )
|
||||||
|
elif v['type'] == SPH_ATTR_BIGINT:
|
||||||
|
req.append ( pack('>q', value) )
|
||||||
|
else:
|
||||||
|
req.append ( pack('>l', value) )
|
||||||
|
|
||||||
|
# select-list
|
||||||
|
req.append ( pack('>L', len(self._select)) )
|
||||||
|
req.append ( self._select )
|
||||||
|
|
||||||
|
# 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 = {}
|
||||||
|
results.append(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:
|
||||||
|
doc, weight = unpack('>QL', response[p:p+12])
|
||||||
|
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_BIGINT:
|
||||||
|
match['attrs'][attrs[i][0]] = unpack('>q', response[p:p+8])[0]
|
||||||
|
p += 4
|
||||||
|
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})
|
||||||
|
|
||||||
|
self._reqs = []
|
||||||
|
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
|
||||||
|
|
||||||
|
flags = 1 # (remove spaces)
|
||||||
|
if opts.get('exact_phrase'): flags |= 2
|
||||||
|
if opts.get('single_passage'): flags |= 4
|
||||||
|
if opts.get('use_boundaries'): flags |= 8
|
||||||
|
if opts.get('weight_order'): flags |= 16
|
||||||
|
|
||||||
|
# mode=0, flags
|
||||||
|
req = [pack('>2L', 0, flags)]
|
||||||
|
|
||||||
|
# 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
|
||||||
|
|
||||||
|
### persistent connections
|
||||||
|
|
||||||
|
def Open(self):
|
||||||
|
if self._socket:
|
||||||
|
self._error = 'already connected'
|
||||||
|
return
|
||||||
|
|
||||||
|
server = self._Connect()
|
||||||
|
if not server:
|
||||||
|
return
|
||||||
|
|
||||||
|
# command, command version = 0, body length = 4, body = 1
|
||||||
|
request = pack ( '>hhII', SEARCHD_COMMAND_PERSIST, 0, 4, 1 )
|
||||||
|
server.send ( request )
|
||||||
|
|
||||||
|
self._socket = server
|
||||||
|
|
||||||
|
def Close(self):
|
||||||
|
if not self._socket:
|
||||||
|
self._error = 'not connected'
|
||||||
|
return
|
||||||
|
self._socket.close()
|
||||||
|
self._socket = None
|
||||||
|
|
||||||
|
def EscapeString(self, string):
|
||||||
|
return re.sub(r"([=\(\)|\-!@~\"&/\\\^\$\=])", r"\\\1", string)
|
||||||
|
|
||||||
|
#
|
||||||
|
# $Id$
|
||||||
|
#
|
|
@ -3,7 +3,7 @@ from fabric.api import local
|
||||||
def pep8():
|
def pep8():
|
||||||
local("pep8 --repeat --ignore E221"
|
local("pep8 --repeat --ignore E221"
|
||||||
" --exclude *.sh,*.html,*.json,*.txt,*.pyc,.DS_Store,README,"
|
" --exclude *.sh,*.html,*.json,*.txt,*.pyc,.DS_Store,README,"
|
||||||
"migrations"
|
"migrations,sphinxapi.py"
|
||||||
" apps", capture=False)
|
" apps", capture=False)
|
||||||
|
|
||||||
|
|
||||||
|
|
Загрузка…
Ссылка в новой задаче