Allow for disabling of parallel processing of qmk find and `qmk mass-compile`. (#22160)

Co-authored-by: Duncan Sutherland <dunk2k_2000@hotmail.com>

lib/python/qmk/cli/find.py

@@ -23,7 +23,7 @@ def find(cli):
     if len(cli.args.filter) == 0 and len(cli.args.print) > 0:
         cli.log.warning('No filters supplied -- keymaps not parsed, unable to print requested values.')
 
-    targets = search_keymap_targets(cli.args.keymap, cli.args.filter, cli.args.print)
+    targets = search_keymap_targets([('all', cli.config.find.keymap)], cli.args.filter, cli.args.print)
     for keyboard, keymap, print_vals in targets:
         print(f'{keyboard}:{keymap}')
 

lib/python/qmk/cli/mass_compile.py

@@ -97,6 +97,6 @@ def mass_compile(cli):
     if len(cli.args.builds) > 0:
         targets = search_make_targets(cli.args.builds, cli.args.filter)
     else:
-        targets = search_keymap_targets(cli.args.keymap, cli.args.filter)
+        targets = search_keymap_targets([('all', cli.config.mass_compile.keymap)], cli.args.filter)
 
-    return mass_compile_targets(targets, cli.args.clean, cli.args.dry_run, cli.args.no_temp, cli.args.parallel, cli.args.env)
+    return mass_compile_targets(targets, cli.args.clean, cli.args.dry_run, cli.config.mass_compile.no_temp, cli.config.mass_compile.parallel, cli.args.env)

lib/python/qmk/search.py

@@ -4,12 +4,12 @@ import contextlib
 import functools
 import fnmatch
 import logging
-import multiprocessing
 import re
 from typing import List, Tuple
 from dotty_dict import dotty
 from milc import cli
 
+from qmk.util import parallel_map
 from qmk.info import keymap_json
 import qmk.keyboard
 import qmk.keymap
@@ -78,17 +78,16 @@ def _expand_keymap_target(keyboard: str, keymap: str, all_keyboards: List[str] =
         all_keyboards = qmk.keyboard.list_keyboards()
 
     if keyboard == 'all':
-        with multiprocessing.Pool() as pool:
-            if keymap == 'all':
-                cli.log.info('Retrieving list of all keyboards and keymaps...')
-                targets = []
-                for kb in pool.imap_unordered(_all_keymaps, all_keyboards):
-                    targets.extend(kb)
-                return targets
-            else:
-                cli.log.info(f'Retrieving list of keyboards with keymap "{keymap}"...')
-                keyboard_filter = functools.partial(_keymap_exists, keymap=keymap)
-                return [(kb, keymap) for kb in filter(lambda e: e is not None, pool.imap_unordered(keyboard_filter, all_keyboards))]
+        if keymap == 'all':
+            cli.log.info('Retrieving list of all keyboards and keymaps...')
+            targets = []
+            for kb in parallel_map(_all_keymaps, all_keyboards):
+                targets.extend(kb)
+            return targets
+        else:
+            cli.log.info(f'Retrieving list of keyboards with keymap "{keymap}"...')
+            keyboard_filter = functools.partial(_keymap_exists, keymap=keymap)
+            return [(kb, keymap) for kb in filter(lambda e: e is not None, parallel_map(keyboard_filter, all_keyboards))]
     else:
         if keymap == 'all':
             keyboard = qmk.keyboard.resolve_keyboard(keyboard)
@@ -117,8 +116,7 @@ def _filter_keymap_targets(target_list: List[Tuple[str, str]], filters: List[str
         targets = [(kb, km, {}) for kb, km in target_list]
     else:
         cli.log.info('Parsing data for all matching keyboard/keymap combinations...')
-        with multiprocessing.Pool() as pool:
-            valid_keymaps = [(e[0], e[1], dotty(e[2])) for e in pool.imap_unordered(_load_keymap_info, target_list)]
+        valid_keymaps = [(e[0], e[1], dotty(e[2])) for e in parallel_map(_load_keymap_info, target_list)]
 
         function_re = re.compile(r'^(?P<function>[a-zA-Z]+)\((?P<key>[a-zA-Z0-9_\.]+)(,\s*(?P<value>[^#]+))?\)$')
         equals_re = re.compile(r'^(?P<key>[a-zA-Z0-9_\.]+)\s*=\s*(?P<value>[^#]+)$')
@@ -179,10 +177,10 @@ def _filter_keymap_targets(target_list: List[Tuple[str, str]], filters: List[str
     return targets
 
 
-def search_keymap_targets(keymap='default', filters: List[str] = [], print_vals: List[str] = []) -> List[Tuple[str, str, List[Tuple[str, str]]]]:
+def search_keymap_targets(targets: List[Tuple[str, str]] = [('all', 'default')], filters: List[str] = [], print_vals: List[str] = []) -> List[Tuple[str, str, List[Tuple[str, str]]]]:
     """Search for build targets matching the supplied criteria.
     """
-    return list(sorted(_filter_keymap_targets(expand_keymap_targets([('all', keymap)]), filters, print_vals), key=lambda e: (e[0], e[1])))
+    return list(sorted(_filter_keymap_targets(expand_keymap_targets(targets), filters, print_vals), key=lambda e: (e[0], e[1])))
 
 
 def search_make_targets(targets: List[str], filters: List[str] = [], print_vals: List[str] = []) -> List[Tuple[str, str, List[Tuple[str, str]]]]:

lib/python/qmk/util.py

@@ -0,0 +1,56 @@
+"""Utility functions.
+"""
+import contextlib
+import multiprocessing
+
+from milc import cli
+
+
+@contextlib.contextmanager
+def parallelize():
+    """Returns a function that can be used in place of a map() call.
+
+    Attempts to use `mpire`, falling back to `multiprocessing` if it's not
+    available. If parallelization is not requested, returns the original map()
+    function.
+    """
+
+    # Work out if we've already got a config value for parallel searching
+    if cli.config.user.parallel_search is None:
+        parallel_search = True
+    else:
+        parallel_search = cli.config.user.parallel_search
+
+    # Non-parallel searches use `map()`
+    if not parallel_search:
+        yield map
+        return
+
+    # Prefer mpire's `WorkerPool` if it's available
+    with contextlib.suppress(ImportError):
+        from mpire import WorkerPool
+        from mpire.utils import make_single_arguments
+        with WorkerPool() as pool:
+
+            def _worker(func, *args):
+                # Ensure we don't unpack tuples -- mpire's `WorkerPool` tries to do so normally so we tell it not to.
+                for r in pool.imap_unordered(func, make_single_arguments(*args, generator=False), progress_bar=True):
+                    yield r
+
+            yield _worker
+        return
+
+    # Otherwise fall back to multiprocessing's `Pool`
+    with multiprocessing.Pool() as pool:
+        yield pool.imap_unordered
+
+
+def parallel_map(*args, **kwargs):
+    """Effectively runs `map()` but executes it in parallel if necessary.
+    """
+    with parallelize() as map_fn:
+        # This needs to be enclosed in a `list()` as some implementations return
+        # a generator function, which means the scope of the pool is closed off
+        # before the results are returned. Returning a list ensures results are
+        # materialised before any worker pool is shut down.
+        return list(map_fn(*args, **kwargs))