def values(self, dimension, zipped=False):
"""Return values of search result.
Attributes:
* `zipped` - (experimental, might become standard) if ``True`` then
returns tuples: (`path`, `record`)
"""
raise NotImplementedError("Fetching values for search matches is not implemented")
cell = self.browser.full_cube()
paths = []
for match in self.matches:
if match["dimension"] == dimension:
path_str = match["path"]
path = cubes.path_from_string(path_str)
paths.append(path)
if paths:
cut = cubes.SetCut(dimension, paths)
cell.cuts = [cut]
values = self.browser.values(cell, dimension)
if zipped:
# return 0
return [ {"meta": r[0], "record":r[1]} for r in zip(self.matches, values) ]
else:
return values
else:
return []
def values(self, dimension, zipped=False):
"""Return values of search result.
Attributes:
* `zipped` - (experimental, might become standard) if ``True`` then
returns tuples: (`path`, `record`)
"""
raise NotImplementedError(
"Fetching values for search matches is not implemented")
cell = self.browser.full_cube()
paths = []
for match in self.matches:
if match["dimension"] == dimension:
path_str = match["path"]
path = cubes.path_from_string(path_str)
paths.append(path)
if paths:
cut = cubes.SetCut(dimension, paths)
cell.cuts = [cut]
values = self.browser.values(cell, dimension)
if zipped:
# return 0
return [{
"meta": r[0],
"record": r[1]
} for r in zip(self.matches, values)]
else:
return values
else:
return []
def dimension_matches(self, dimension):
matches = []
for match in self.matches:
if match["dimension"] == dimension:
dup = dict(match)
path_str = match["path"]
path = cubes.path_from_string(path_str)
dup["path"] = path
dup["path_string"] = path_str
matches.append(dup)
return matches
def dimension_matches(self, dimension):
matches = []
dim_name = str(dimension)
for match in self.results:
if match["dimension"] == dim_name:
dup = dict(match)
path_str = match["path"]
path = cubes.path_from_string(path_str)
dup["path"] = path
dup["path_string"] = path_str
matches.append(dup)
return matches
def dimension_matches(self, dimension):
matches = []
if not self.matches:
return []
for match in self.matches:
if match["dimension"] == dimension:
dup = dict(match)
path_str = match["path"]
path = cubes.path_from_string(path_str)
dup["path"] = path
dup["path_string"] = path_str
matches.append(dup)
return matches
