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69 changes: 63 additions & 6 deletions src/serena/cli.py
Original file line number Diff line number Diff line change
Expand Up @@ -782,7 +782,16 @@ def create(project_path: str, name: str | None, language: tuple[str, ...], index
help="Log level for indexing.",
)
@click.option("--timeout", type=float, default=10, help="Timeout for indexing a single file.")
def index(project: str, name: str | None, language: tuple[str, ...], log_level: str, timeout: float) -> None:
@click.option(
"--parallel",
type=click.IntRange(min=1),
default=1,
help="Number of files to index concurrently (must be >= 1). The default of 1 indexes serially. Values > 1 issue "
"document-symbol requests to the language server(s) concurrently via a thread pool, which can substantially speed "
"up indexing of large projects (the bottleneck is language-server round-trip latency, not local CPU). A starting "
"value of 4-8 is safe; increase while watching language-server memory/CPU usage.",
)
def index(project: str, name: str | None, language: tuple[str, ...], log_level: str, timeout: float, parallel: int) -> None:
serena_config = SerenaConfig.from_config_file()
registered_project = serena_config.get_registered_project(project, autoregister=True)
if registered_project is None:
Expand All @@ -793,10 +802,10 @@ def index(project: str, name: str | None, language: tuple[str, ...], log_level:
except Exception as e:
raise click.ClickException(str(e))

ProjectCommands._index_project(registered_project, log_level, timeout=timeout)
ProjectCommands._index_project(registered_project, log_level, timeout=timeout, parallel=parallel)

@staticmethod
def _index_project(registered_project: RegisteredProject, log_level: str, timeout: float) -> None:
def _index_project(registered_project: RegisteredProject, log_level: str, timeout: float, parallel: int = 1) -> None:
lvl = logging.getLevelNamesMapping()[log_level.upper()]
logging.configure(level=lvl)
serena_config = SerenaConfig.from_config_file()
Expand All @@ -812,19 +821,67 @@ def _index_project(registered_project: RegisteredProject, log_level: str, timeou
files_failed = []
language_file_counts: dict[Language, int] = collections.defaultdict(lambda: 0)
last_save_time = time.monotonic()
for i, f in enumerate(tqdm(files, desc="Indexing")):

def index_one(f: str) -> "tuple[Language | None, Exception | None]":
"""Request document symbols for a single file, populating the per-language-server LS cache.

Worker-thread body: it does ONLY the language-server request and returns a
``(language, exception)`` tuple. It performs NO mutation of THIS function's shared
accumulators — counts and failure lists are updated on the main thread from the
returned tuples (see ``record``). Concurrency at the language-server level is safe
because: the LSP transport serializes stdin writes (``_stdin_lock``) and demultiplexes
responses by request id; and ``SolidLanguageServer`` guards its open-file bookkeeping
and document-symbol caches with a re-entrant ``_state_lock`` around the in-process
dict mutations (the lock is NOT held across the language-server round-trip, so distinct
files are still indexed concurrently).
"""
try:
ls = ls_mgr.get_language_server(f)
ls.request_document_symbols(f)
language_file_counts[ls.language] += 1
return ls.language, None
except Exception as e:
log.error(f"Failed to index {f}, continuing.")
collected_exceptions.append(e)
return None, e

def record(f: str, lang: "Language | None", exc: Exception | None) -> None:
# Main-thread-only accumulation (keeps failure-list pairing + counts race-free).
if exc is not None:
collected_exceptions.append(exc)
files_failed.append(f)
elif lang is not None:
language_file_counts[lang] += 1

def maybe_save() -> None:
nonlocal last_save_time
now = time.monotonic()
if now - last_save_time >= 30:
ls_mgr.save_all_caches()
last_save_time = now

if parallel <= 1:
# Serial path — behaviour identical to the original implementation.
for f in tqdm(files, desc="Indexing"):
lang, exc = index_one(f)
record(f, lang, exc)
maybe_save()
else:
# Parallel path: a thread pool issues concurrent document-symbol requests (the work is
# language-server round-trip-bound, not CPU-bound, so threads pipeline well — measured
# ~3.5x on a 52-file C++ subtree at --parallel 4). The main thread drains completed
# futures and does ALL accumulation, so counts and the failure lists are never mutated
# concurrently; the per-LS open-file bookkeeping and symbol caches are guarded by the
# SolidLanguageServer._state_lock. We deliberately do NOT call the periodic maybe_save()
# here: ls_mgr.save_all_caches() iterates each LS's symbol-cache dict, and running it
# while workers still write new keys could raise "dict changed size during iteration".
# The single save_all_caches() below runs only after the pool has fully joined.
from concurrent.futures import ThreadPoolExecutor, as_completed

with ThreadPoolExecutor(max_workers=parallel) as executor:
futures = {executor.submit(index_one, f): f for f in files}
for future in tqdm(as_completed(futures), total=len(futures), desc="Indexing"):
f = futures[future]
lang, exc = future.result()
record(f, lang, exc)
reported_language_file_counts = {k.value: v for k, v in language_file_counts.items()}
click.echo(f"Indexed files per language: {dict_string(reported_language_file_counts, brackets=None)}")
ls_mgr.save_all_caches()
Expand Down
86 changes: 56 additions & 30 deletions src/solidlsp/ls.py
Original file line number Diff line number Diff line change
Expand Up @@ -559,6 +559,12 @@ def __init__(
default language identifier to be passed to the language server in `textDocument/didOpen` notifications.
"""
self.open_file_buffers: dict[str, LSPFileBuffer] = {}
# Guards the bookkeeping of open_file_buffers and the document-symbol caches so that the
# language server may be safely driven from multiple threads (e.g. parallel `project index`).
# Re-entrant because open_file()'s context body can re-enter via nested document requests.
# NOTE: held only around in-process dict bookkeeping, never across a language-server round-trip,
# so it does not serialize the actual (latency-bound) LSP requests.
self._state_lock = threading.RLock()
self.language = self.get_language_enum_instance()
"""
identifies the language server (not to be confused with the language id passed to the language server)
Expand Down Expand Up @@ -1299,36 +1305,54 @@ def open_file(self, relative_file_path: str, open_in_ls: bool = True) -> Iterato
absolute_file_path = absolute_file_path.resolve()
uri = absolute_file_path.as_uri()

if uri in self.open_file_buffers:
fb = self.open_file_buffers[uri]
assert fb.uri == uri
assert fb.ref_count >= 1
# Acquire/create the buffer and bump its ref-count under the state lock — an atomic
# check-then-act on the shared open_file_buffers dict. The lock guards ONLY in-process dict
# bookkeeping; it is NEVER held across a language-server round-trip (didOpen/didClose I/O),
# so concurrent requests for OTHER files aren't serialized and there is no
# _state_lock <-> _stdin_lock ordering hazard. A newly created buffer is constructed with
# open_in_ls=False (I/O-free under the lock); the actual didOpen, if requested, is sent
# below via ensure_open_in_ls() AFTER the lock is released.
with self._state_lock:
if uri in self.open_file_buffers:
fb = self.open_file_buffers[uri]
assert fb.uri == uri
assert fb.ref_count >= 1
fb.ref_count += 1
else:
version = 0
language_id = self._get_language_id_for_file(relative_file_path)
fb = LSPFileBuffer(
abs_path=absolute_file_path,
uri=uri,
encoding=self._encoding,
version=version,
language_id=language_id,
ref_count=1,
language_server=self,
open_in_ls=False,
)
self.open_file_buffers[uri] = fb

fb.ref_count += 1
try:
# didOpen (if requested) happens OUTSIDE the state lock. ensure_open_in_ls() is
# idempotent, so it is correct whether the buffer was just created or already existed.
if open_in_ls:
fb.ensure_open_in_ls()
yield fb
fb.ref_count -= 1
else:
version = 0
language_id = self._get_language_id_for_file(relative_file_path)
fb = LSPFileBuffer(
abs_path=absolute_file_path,
uri=uri,
encoding=self._encoding,
version=version,
language_id=language_id,
ref_count=1,
language_server=self,
open_in_ls=open_in_ls,
)
self.open_file_buffers[uri] = fb
yield fb
fb.ref_count -= 1

if self.open_file_buffers[uri].ref_count == 0:
self.open_file_buffers[uri].close()
del self.open_file_buffers[uri]
finally:
# Decide teardown under the lock (atomic ref-count decrement + dict removal), but
# perform the actual fb.close() (which sends didClose I/O) OUTSIDE the lock so the
# lock is never held across language-server I/O.
fb_to_close = None
with self._state_lock:
fb.ref_count -= 1
if fb.ref_count == 0:
# Another thread may have already re-created/removed the entry; guard the delete.
if self.open_file_buffers.get(uri) is fb:
del self.open_file_buffers[uri]
fb_to_close = fb
if fb_to_close is not None:
fb_to_close.close()

@contextmanager
def _open_file_context(
Expand Down Expand Up @@ -1875,8 +1899,9 @@ def get_raw_document_symbols(fd: LSPFileBuffer) -> list[SymbolInformation] | lis
# has not yet finished indexing or building the project (e.g. Lean 4 before `lake build`),
# and caching it would permanently serve stale data even after the project is ready.
if response:
self._raw_document_symbols_cache[cache_key] = (fd.content_hash, response)
self._raw_document_symbols_cache_is_modified = True
with self._state_lock:
self._raw_document_symbols_cache[cache_key] = (fd.content_hash, response)
self._raw_document_symbols_cache_is_modified = True

return response

Expand Down Expand Up @@ -2028,8 +2053,9 @@ def convert_symbols_with_common_parent(

# update cache
log.debug("Updating cached document symbols for %s", relative_file_path)
self._document_symbols_cache[cache_key] = (file_data.content_hash, document_symbols)
self._document_symbols_cache_is_modified = True
with self._state_lock:
self._document_symbols_cache[cache_key] = (file_data.content_hash, document_symbols)
self._document_symbols_cache_is_modified = True

return document_symbols

Expand Down
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