Beispiel #1
0
 def _get_parent_branch_series(self, query, limit=LOADER_LIMIT, offset=0):
     """Iterate through parent branches, find cached series for parent
     branch and return series matching query"""
     root_branch_query = False
     _pattern = ".".join(query.pattern.split('.')[:-1])
     if not _pattern:
         _pattern = '*'
         root_branch_query = True
     parent_branch_series = self.get_all_cached_series(
         _pattern, limit=limit, offset=offset)
     while not parent_branch_series and not root_branch_query:
         logger.debug("No cached series list for parent branch query %s, "
                      "continuing with more parents", _pattern)
         _pattern = ".".join(_pattern.split('.')[:-1])
         if not _pattern:
             _pattern = '*'
             root_branch_query = True
         parent_branch_series = self.get_all_cached_series(
             _pattern, limit=limit, offset=offset)
     if not parent_branch_series:
         return
     logger.debug("Found cached parent branch series for parent query %s "
                  "limit %s offset %s",
                  _pattern, limit, offset)
     series = match_entries(parent_branch_series, query.pattern) \
       if is_pattern(query.pattern) \
       else [b for b in parent_branch_series if
             b.startswith(query.pattern)]
     return series
Beispiel #2
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 def search(self, node, split_query, split_path):
     """Return matching children for each query part in split query starting
     from given node"""
     sub_query = split_query[0]
     keys = [_decode_str(key) for (key, _) in node.children] \
       if node.children is not None else []
     matched_paths = match_entries(keys, sub_query)
     matched_children = (
         (_decode_str(path), _node)
         for (path, _node) in node.children
         if _decode_str(path) in matched_paths) \
         if node.children is not None and is_pattern(sub_query) \
         else [(sub_query, [n for (k, n) in node.children
                            if _decode_str(k) == sub_query][0])] \
                            if node.children is not None \
                            and sub_query in keys else []
     for child_name, child_node in matched_children:
         child_path = split_path[:]
         child_path.append(child_name)
         child_query = split_query[1:]
         if len(child_query) > 0:
             for sub in self.search(child_node, child_query, child_path):
                 yield sub
         else:
             yield (child_path, child_node)
Beispiel #3
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 def _get_matched_children(self, sub_query, node):
     keys = [_decode_str(key) for (key, _) in node.children] \
       if node.children is not None else []
     matched_paths = match_entries(keys, sub_query)
     if node.children is not None and is_pattern(sub_query):
         matched_children = self._get_children_from_matched_paths(
             matched_paths, node)
     else:
         matched_children = [(sub_query,
                              self._get_child_from_string_query(
                                  sub_query, node))] \
                                  if node.children is not None \
                                  and sub_query in keys else []
     return matched_children
Beispiel #4
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    def _search_nodes(self, pattern):
        parts = pattern.split('.')
        queue = [('_parent:_root', parts)]

        while queue:
            search_term, patterns = queue.pop()
            pattern = patterns[0]
            patterns = patterns[1:]

            # map branches to their resource (the branch full path) and the
            # retrieved metrics (the leaves)
            branches = {}
            for resource, metrics in self._run_search(search_term):
                if search_term == '_parent:_root':
                    branch = resource
                else:
                    # XXX column is valid in graphite names
                    branch = resource.rsplit(':', 1)[1]
                branches[branch] = (resource, metrics)

            # multi-part pattern
            if patterns:
                # walk the branches first
                for match in match_entries(branches.keys(), pattern):
                    resource, metrics = branches[match]
                    parent_term = resource.replace(':', '\:')
                    parent_term = parent_term.replace('-', '\-')
                    queue.append(('_parent:%s' % parent_term, patterns))
                    # only one pattern left, match leaves too (i.e. metrics)
                    if len(patterns) == 1:
                        for match in match_entries(metrics, patterns[0]):
                            yield resource, match, True
            else:
                # patterns like 'foo', yield only branches
                for match in match_entries(branches.keys(), pattern):
                    yield match, None, False
Beispiel #5
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    def _search_nodes(self, pattern):
        parts = pattern.split('.')
        queue = [('_parent:_root', parts)]

        while queue:
            search_term, patterns = queue.pop()
            pattern = patterns[0]
            patterns = patterns[1:]

            # map branches to their resource (the branch full path) and the
            # retrieved metrics (the leaves)
            branches = {}
            for resource, metrics in self._run_search(search_term):
                if search_term == '_parent:_root':
                    branch = resource
                else:
                    # XXX column is valid in graphite names
                    branch = resource.rsplit(':', 1)[1]
                branches[branch] = (resource, metrics)

            # multi-part pattern
            if patterns:
                # walk the branches first
                for match in match_entries(branches.keys(), pattern):
                    resource, metrics = branches[match]
                    parent_term = resource.replace(':', '\:')
                    parent_term = parent_term.replace('-', '\-')
                    queue.append(('_parent:%s' % parent_term, patterns))
                    # only one pattern left, match leaves too (i.e. metrics)
                    if len(patterns) == 1:
                        for match in match_entries(metrics, patterns[0]):
                            yield resource, match, True
            else:
                # patterns like 'foo', yield only branches
                for match in match_entries(branches.keys(), pattern):
                    yield match, None, False
Beispiel #6
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 def _match(self, metric, pattern):
     return match_entries([metric], pattern)