rrs_upstream_history.py: drop threading

This is never going to work, the only way we can practically do parallel
execution is to run these things in a task which would basically amount
to distrodata's do_checkpkg; we may move to that in future but for now
just drop the threading code.

Signed-off-by: Paul Eggleton <paul.eggleton@linux.intel.com>

1 files changed, 2 insertions, 17 deletions

diff --git a/rrs/tools/rrs_upstream_history.py b/rrs/tools/rrs_upstream_history.py
index 84355c43e7..b3d47c9969 100755
--- a/rrs/tools/rrs_upstream_history.py
+++ b/rrs/tools/rrs_upstream_history.py
@@ -86,13 +86,11 @@ def set_regexes(d):
                     d.getVar(var, True)))
             break
 
-def get_upstream_info(thread_worker, arg):
+def get_upstream_info(layerbranch, recipe_data, result):
     from bb.utils import vercmp_string
     from oe.recipeutils import get_recipe_upstream_version, \
             get_recipe_pv_without_srcpv
 
-    (layerbranch, recipe_data, result) = arg
-
     pn = recipe_data.getVar('PN', True)
     recipe = Recipe.objects.get(layerbranch=layerbranch, pn=pn)
     if not recipe:
@@ -179,22 +177,9 @@ if __name__=="__main__":
 
                 history = RecipeUpstreamHistory(start_date = datetime.now())
 
-                from oe.utils import ThreadedPool
-                import multiprocessing
-
-                #nproc = min(multiprocessing.cpu_count(), len(recipes))
-                # XXX: The new tinfoil API don't support pythreads so
-                # set to 1 while tinfoil have support.
-                nproc = 1
-                pool = ThreadedPool(nproc, len(recipes))
-
                 result = []
                 for recipe_data in recipes:
-                    pool.add_task(get_upstream_info, (layerbranch,
-                        recipe_data, result))
-
-                pool.start()
-                pool.wait_completion()
+                    get_upstream_info(layerbranch, recipe_data, result)
 
                 history.end_date = datetime.now()
                 history.save()