Docs for the Completer API
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@ -24,23 +24,80 @@ import ycm_core
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from collections import defaultdict
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class CompletionsCache( object ):
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def __init__( self ):
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self.line = -1
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self.column = -1
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self.raw_completions = []
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self.filtered_completions = []
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def CacheValid( self ):
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completion_line, _ = vimsupport.CurrentLineAndColumn()
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completion_column = int( vim.eval( "s:completion_start_column" ) )
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return completion_line == self.line and completion_column == self.column
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class Completer( object ):
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__metaclass__ = abc.ABCMeta
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"""A base class for all Completers in YCM.
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Here's several important things you need to know if you're writing a custom
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Completer. First, there are several very important functions that the Vim part
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of YCM will be calling on your Completer.
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ShouldUseNow() is called with the start column of where a potential completion
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string should start. For instance, if the user's input is 'foo.bar' and the
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cursor is on the 'r' in 'bar', start_column will be the 0-based index of 'b'
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in the line. Your implementation of ShouldUseNow() should return True if your
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semantic completer should be used and False otherwise.
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This is important to get right. You want to return False if you can't provide
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completions because then the identifier completer will kick in, and that's
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better than nothing.
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Note that it's HIGHLY likely that you want to override the ShouldUseNowInner()
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function instead of ShouldUseNow() directly. ShouldUseNow() will call your
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*Inner version of the function and will also make sure that the completion
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cache is taken into account. You'll see this pattern repeated throughout the
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Completer API; YCM calls the "main" version of the function and that function
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calls the *Inner version while taking into account the cache.
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The cache is important and is a nice performance boost. When the user types in
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"foo.", your completer will return a list of all member functions and
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variables that can be accessed on the "foo" object. The Completer API caches
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this list. The user will then continue typing, let's say "foo.ba". On every
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keystroke after the dot, the Completer API will take the cache into account
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and will NOT re-query your completer but will in fact provide fuzzy-search on
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the candidate strings that were stored in the cache.
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CandidatesForQueryAsync() is the main entry point when the user types. For
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"foo.bar", the user query is "bar" and completions matching this string should
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be shown. The job of CandidatesForQueryAsync() is to merely initiate this
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request, hopefully in the background with a thread.
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AsyncCandidateRequestReady() is the function that is repeatedly polled until
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it returns True. If CandidatesForQueryAsync() started a background task of
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collecting the required completions, AsyncCandidateRequestReady() would check
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the state of that task and return False until it was completed.
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CandidatesFormStoredRequest() should return the list of candidates. This is
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what YCM calls after AsyncCandidateRequestReady() returns True. The format of
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the result can be a list of strings or a more complicated list of
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dictionaries. See ':h complete-items' for the format, and clang_completer.py
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to see how its used in practice.
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You also need to implement the SupportedFiletypes() function which should
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return a list of strings, where the strings are Vim filetypes your completer
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supports.
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clang_completer.py is a good example of a "complicated" completer that
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maintains its own internal cache and therefore directly overrides the "main"
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functions in the API instead of the *Inner versions. A good example of a
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simple completer that does not do this is omni_completer.py.
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If you're confident your completer doesn't need a background task (think
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again, you probably do) because you can "certainly" furnish a response in
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under 10ms, then you can perform your backend processing in a synchronous
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fashion. You may also need to do this because of technical restrictions (much
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like omni_completer.py has to do it because accessing Vim internals is not
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thread-safe). But even if you're certain, still try to do the processing in a
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background thread. Your completer is unlikely to be merged if it does not,
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because synchronous processing will block Vim's GUI thread and that's a very,
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VERY bad thing (so try not to do it!).
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The On* functions are provided for your convenience. They are called when
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their specific events occur. For instance, the identifier completer collects
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all the identifiers in the file in OnFileReadyToParse() which gets called when
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the user stops typing for 2 seconds (Vim's CursorHold and CursorHoldI events).
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"""
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__metaclass__ = abc.ABCMeta
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def __init__( self ):
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self.triggers_for_filetype = TriggersForFiletype()
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@ -48,6 +105,8 @@ class Completer( object ):
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self.completions_cache = None
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# It's highly likely you DON'T want to override this function but the *Inner
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# version of it.
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def ShouldUseNow( self, start_column ):
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inner_says_yes = self.ShouldUseNowInner( start_column )
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if not inner_says_yes:
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@ -82,6 +141,8 @@ class Completer( object ):
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return False
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# It's highly likely you DON'T want to override this function but the *Inner
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# version of it.
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def CandidatesForQueryAsync( self, query ):
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if query and self.completions_cache and self.completions_cache.CacheValid():
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self.completions_cache.filtered_completions = (
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@ -111,6 +172,8 @@ class Completer( object ):
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pass
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# It's highly likely you DON'T want to override this function but the *Inner
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# version of it.
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def AsyncCandidateRequestReady( self ):
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if self.completions_cache:
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return True
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@ -126,6 +189,8 @@ class Completer( object ):
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return self.completions_future.ResultsReady()
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# It's highly likely you DON'T want to override this function but the *Inner
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# version of it.
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def CandidatesFromStoredRequest( self ):
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if self.completions_cache:
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return self.completions_cache.filtered_completions
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@ -196,6 +261,20 @@ class Completer( object ):
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return ''
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class CompletionsCache( object ):
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def __init__( self ):
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self.line = -1
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self.column = -1
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self.raw_completions = []
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self.filtered_completions = []
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def CacheValid( self ):
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completion_line, _ = vimsupport.CurrentLineAndColumn()
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completion_column = int( vim.eval( "s:completion_start_column" ) )
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return completion_line == self.line and completion_column == self.column
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def TriggersForFiletype():
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triggers = vim.eval( 'g:ycm_semantic_triggers' )
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triggers_for_filetype = defaultdict( list )
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