bitbake: bb.utils: add get_referenced_vars

Given a start expression, bb.utils.get_referenced_vars returns the
referenced variable names in a quasi-BFS order (variables within the
same level are ordered aribitrarily).

For example, given an empty data store:

    bb.utils.get_referenced_vars("${A} ${B} ${d.getVar('C')}", d)

returns either ["A", "B", "C"], ["A", "C", "B"], or another
permutation.

If we then set A = "${F} ${G}", then the same call will return a
permutation of [A, B, C] concatenated with a permutation of [F, G].

This method is like a version of d.expandWithRefs().references that
gives some insight into the depth of variable references.

(Bitbake rev: 076eb5453ca35b8b75b8270efb989d5208095b27)

Signed-off-by: Chris Laplante <chris.laplante@agilent.com>
Signed-off-by: Richard Purdie <richard.purdie@linuxfoundation.org>
This commit is contained in:
Chris Laplante via bitbake-devel
2020-01-17 14:39:54 -05:00
committed by Richard Purdie
parent fa5524890e
commit d5b3b76a71

View File

@@ -1025,6 +1025,43 @@ def filter(variable, checkvalues, d):
checkvalues = set(checkvalues)
return ' '.join(sorted(checkvalues & val))
def get_referenced_vars(start_expr, d):
"""
:return: names of vars referenced in start_expr (recursively), in quasi-BFS order (variables within the same level
are ordered arbitrarily)
"""
seen = set()
ret = []
# The first entry in the queue is the unexpanded start expression
queue = collections.deque([start_expr])
# Subsequent entries will be variable names, so we need to track whether or not entry requires getVar
is_first = True
empty_data = bb.data.init()
while queue:
entry = queue.popleft()
if is_first:
# Entry is the start expression - no expansion needed
is_first = False
expression = entry
else:
# This is a variable name - need to get the value
expression = d.getVar(entry, False)
ret.append(entry)
# expandWithRefs is how we actually get the referenced variables in the expression. We call it using an empty
# data store because we only want the variables directly used in the expression. It returns a set, which is what
# dooms us to only ever be "quasi-BFS" rather than full BFS.
new_vars = empty_data.expandWithRefs(expression, None).references - set(seen)
queue.extend(new_vars)
seen.update(new_vars)
return ret
def cpu_count():
return multiprocessing.cpu_count()