mirror of https://github.com/dense-analysis/ale
55 lines
1.6 KiB
Python
55 lines
1.6 KiB
Python
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"""
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A Deoplete source for ALE completion via tsserver and LSP.
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"""
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__author__ = 'Joao Paulo, w0rp'
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try:
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from deoplete.source.base import Base
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except ImportError:
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# Mock the Base class if deoplete isn't available, as mock isn't available
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# in the Docker image.
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class Base(object):
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def __init__(self, vim):
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pass
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# Make sure this code is valid in Python 2, used for running unit tests.
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class Source(Base):
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def __init__(self, vim):
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super(Source, self).__init__(vim)
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self.name = 'ale'
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self.mark = '[L]'
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self.rank = 100
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self.is_bytepos = True
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self.min_pattern_length = 1
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# Returns an integer for the start position, as with omnifunc.
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def get_completion_position(self):
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return self.vim.call('ale#completion#GetCompletionPosition')
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def gather_candidates(self, context):
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# Stop early if ALE can't provide completion data for this buffer.
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if not self.vim.call('ale#completion#CanProvideCompletions'):
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return None
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if context.get('is_refresh'):
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context['is_async'] = False
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if context['is_async']:
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# Result is the same as for omnifunc, or None.
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result = self.vim.call('ale#completion#GetCompletionResult')
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if result is not None:
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context['is_async'] = False
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return result
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else:
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context['is_async'] = True
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# Request some completion results.
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self.vim.call('ale#completion#GetCompletions', 'deoplete')
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return []
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