refactor: streamline local folder indexing logic by removing unused imports, enhancing content hashing, and improving document creation process

This commit is contained in:
Anish Sarkar 2026-04-02 23:28:23 +05:30
parent c27d24a117
commit 53df393cf7
2 changed files with 174 additions and 380 deletions

View file

@ -14,7 +14,6 @@ no connector row is read.
"""
import os
import time
from collections.abc import Awaitable, Callable
from datetime import UTC, datetime
from pathlib import Path
@ -30,24 +29,16 @@ from app.db import (
DocumentType,
Folder,
)
from app.indexing_pipeline.connector_document import ConnectorDocument
from app.indexing_pipeline.document_hashing import compute_identifier_hash
from app.indexing_pipeline.indexing_pipeline_service import IndexingPipelineService
from app.services.llm_service import get_user_long_context_llm
from app.services.task_logging_service import TaskLoggingService
from app.utils.document_converters import (
create_document_chunks,
embed_text,
generate_content_hash,
generate_document_summary,
generate_unique_identifier_hash,
)
from app.utils.document_versioning import create_version_snapshot
from .base import (
build_document_metadata_string,
check_document_by_unique_identifier,
check_duplicate_document_by_hash,
get_current_timestamp,
logger,
safe_set_chunks,
)
PLAINTEXT_EXTENSIONS = frozenset({
@ -89,7 +80,6 @@ def _needs_etl(filename: str) -> bool:
return not _is_plaintext_file(filename) and not _is_audio_file(filename)
HeartbeatCallbackType = Callable[[int], Awaitable[None]]
HEARTBEAT_INTERVAL_SECONDS = 30
DEFAULT_EXCLUDE_PATTERNS = [
".git",
@ -210,6 +200,16 @@ async def _read_file_content(file_path: str, filename: str) -> str:
return await _parse_file_to_markdown(file_path, filename)
def _content_hash(content: str, search_space_id: int) -> str:
"""SHA-256 hash of content scoped to a search space.
Matches the format used by ``compute_content_hash`` in the unified
pipeline so that dedup checks are consistent.
"""
import hashlib
return hashlib.sha256(f"{search_space_id}:{content}".encode("utf-8")).hexdigest()
async def _compute_file_content_hash(
file_path: str, filename: str, search_space_id: int,
) -> tuple[str, str]:
@ -218,8 +218,7 @@ async def _compute_file_content_hash(
Returns (content_text, content_hash).
"""
content = await _read_file_content(file_path, filename)
content_hash = generate_content_hash(content, search_space_id)
return content, content_hash
return content, _content_hash(content, search_space_id)
async def _mirror_folder_structure(
@ -454,6 +453,40 @@ async def _cleanup_empty_folders(
candidates = remaining
def _build_connector_doc(
title: str,
content: str,
relative_path: str,
folder_name: str,
*,
search_space_id: int,
user_id: str,
enable_summary: bool,
) -> ConnectorDocument:
"""Build a ConnectorDocument from a local file's extracted content."""
unique_id = f"{folder_name}:{relative_path}"
metadata = {
"folder_name": folder_name,
"file_path": relative_path,
"document_type": "Local Folder File",
"connector_type": "Local Folder",
}
fallback_summary = f"File: {title}\n\n{content[:4000]}"
return ConnectorDocument(
title=title,
source_markdown=content,
unique_id=unique_id,
document_type=DocumentType.LOCAL_FOLDER_FILE,
search_space_id=search_space_id,
connector_id=None,
created_by_id=user_id,
should_summarize=enable_summary,
fallback_summary=fallback_summary,
metadata=metadata,
)
async def index_local_folder(
session: AsyncSession,
search_space_id: int,
@ -551,15 +584,13 @@ async def index_local_folder(
indexed_count = 0
skipped_count = 0
failed_count = 0
duplicate_count = 0
last_heartbeat_time = time.time()
# ================================================================
# PHASE 1: Analyze all files, create pending documents
# PHASE 1: Pre-filter files (mtime / content-hash), version changed
# ================================================================
files_to_process: list[dict] = []
new_documents_created = False
connector_docs: list[ConnectorDocument] = []
# Maps unique_id -> (relative_path, mtime) for post-pipeline folder_id assignment
file_meta_map: dict[str, dict] = {}
seen_unique_hashes: set[str] = set()
for file_info in files:
@ -568,8 +599,8 @@ async def index_local_folder(
file_path_abs = file_info["path"]
unique_identifier = f"{folder_name}:{relative_path}"
unique_identifier_hash = generate_unique_identifier_hash(
DocumentType.LOCAL_FOLDER_FILE,
unique_identifier_hash = compute_identifier_hash(
DocumentType.LOCAL_FOLDER_FILE.value,
unique_identifier,
search_space_id,
)
@ -612,94 +643,42 @@ async def index_local_folder(
continue
await create_version_snapshot(session, existing_document)
else:
try:
content, content_hash = await _compute_file_content_hash(
file_path_abs, file_info["relative_path"], search_space_id
)
except Exception as read_err:
logger.warning(f"Could not read {file_path_abs}: {read_err}")
skipped_count += 1
continue
files_to_process.append(
{
"document": existing_document,
"is_new": False,
"file_info": file_info,
"content": content,
"content_hash": content_hash,
"unique_identifier_hash": unique_identifier_hash,
"relative_path": relative_path,
"title": file_info["name"],
}
)
continue
if not content.strip():
skipped_count += 1
continue
try:
content, content_hash = await _compute_file_content_hash(
file_path_abs, file_info["relative_path"], search_space_id
)
except Exception as read_err:
logger.warning(f"Could not read {file_path_abs}: {read_err}")
skipped_count += 1
continue
if not content.strip():
skipped_count += 1
continue
with session.no_autoflush:
dup = await check_duplicate_document_by_hash(session, content_hash)
if dup:
duplicate_count += 1
skipped_count += 1
continue
parent_dir = str(Path(relative_path).parent)
if parent_dir == ".":
parent_dir = ""
folder_id = folder_mapping.get(parent_dir, folder_mapping.get(""))
document = Document(
search_space_id=search_space_id,
doc = _build_connector_doc(
title=file_info["name"],
document_type=DocumentType.LOCAL_FOLDER_FILE,
document_metadata={
"folder_name": folder_name,
"file_path": relative_path,
"mtime": file_info["modified_at"].timestamp(),
},
content="Pending...",
content_hash=unique_identifier_hash,
unique_identifier_hash=unique_identifier_hash,
embedding=None,
status=DocumentStatus.pending(),
updated_at=get_current_timestamp(),
created_by_id=user_id,
connector_id=None,
folder_id=folder_id,
)
session.add(document)
new_documents_created = True
files_to_process.append(
{
"document": document,
"is_new": True,
"file_info": file_info,
"content": content,
"content_hash": content_hash,
"unique_identifier_hash": unique_identifier_hash,
"relative_path": relative_path,
"title": file_info["name"],
}
content=content,
relative_path=relative_path,
folder_name=folder_name,
search_space_id=search_space_id,
user_id=user_id,
enable_summary=enable_summary,
)
connector_docs.append(doc)
file_meta_map[unique_identifier] = {
"relative_path": relative_path,
"mtime": file_info["modified_at"].timestamp(),
}
except Exception as e:
logger.exception(f"Phase 1 error for {file_info.get('path')}: {e}")
failed_count += 1
if new_documents_created:
await session.commit()
# ================================================================
# PHASE 1.5: Delete documents no longer on disk
# ================================================================
# Collect ALL folder IDs under this root (including folders that no
# longer exist on disk but still have rows in the DB) so we catch
# documents in deleted directories too.
all_root_folder_ids = set(folder_mapping.values())
all_db_folders = (
await session.execute(
@ -727,98 +706,51 @@ async def index_local_folder(
await session.flush()
# ================================================================
# PHASE 2: Process each document
# PHASE 2: Index via unified pipeline
# ================================================================
long_context_llm = await get_user_long_context_llm(
session, user_id, search_space_id
)
if connector_docs:
from app.indexing_pipeline.document_hashing import (
compute_unique_identifier_hash,
)
for item in files_to_process:
if on_heartbeat_callback:
current_time = time.time()
if current_time - last_heartbeat_time >= HEARTBEAT_INTERVAL_SECONDS:
pipeline = IndexingPipelineService(session)
doc_map = {
compute_unique_identifier_hash(cd): cd for cd in connector_docs
}
documents = await pipeline.prepare_for_indexing(connector_docs)
llm = await get_user_long_context_llm(session, user_id, search_space_id)
for document in documents:
connector_doc = doc_map.get(document.unique_identifier_hash)
if connector_doc is None:
failed_count += 1
continue
result = await pipeline.index(document, connector_doc, llm)
if DocumentStatus.is_state(result.status, DocumentStatus.READY):
indexed_count += 1
# Assign folder_id and mtime post-pipeline
rel_path = (connector_doc.metadata or {}).get("file_path", "")
parent_dir = str(Path(rel_path).parent) if rel_path else ""
if parent_dir == ".":
parent_dir = ""
fid = folder_mapping.get(parent_dir, folder_mapping.get(""))
unique_id = connector_doc.unique_id
mtime_info = file_meta_map.get(unique_id, {})
result.folder_id = fid
doc_meta = dict(result.document_metadata or {})
doc_meta["mtime"] = mtime_info.get("mtime")
result.document_metadata = doc_meta
else:
failed_count += 1
if on_heartbeat_callback and indexed_count % 5 == 0:
await on_heartbeat_callback(indexed_count)
last_heartbeat_time = current_time
document = item["document"]
try:
document.status = DocumentStatus.processing()
await session.commit()
title = item["title"]
relative_path = item["relative_path"]
content = item["content"]
content_hash = item["content_hash"]
file_info = item["file_info"]
metadata_sections = [
(
"METADATA",
[
f"Title: {title}",
f"Folder: {folder_name}",
f"Path: {relative_path}",
],
),
("CONTENT", [content]),
]
document_string = build_document_metadata_string(metadata_sections)
summary_content = ""
if long_context_llm and enable_summary:
doc_meta = {
"folder_name": folder_name,
"file_path": relative_path,
}
summary_content, _ = await generate_document_summary(
document_string, long_context_llm, doc_meta
)
embedding = embed_text(document_string)
chunks = await create_document_chunks(document_string)
parent_dir = str(Path(relative_path).parent)
if parent_dir == ".":
parent_dir = ""
folder_id = folder_mapping.get(parent_dir, folder_mapping.get(""))
document.title = title
document.content = document_string
document.content_hash = content_hash
document.source_markdown = content
document.embedding = embedding
document.document_metadata = {
"folder_name": folder_name,
"file_path": relative_path,
"summary": summary_content,
"mtime": file_info["modified_at"].timestamp(),
}
document.folder_id = folder_id
await safe_set_chunks(session, document, chunks)
document.updated_at = get_current_timestamp()
document.status = DocumentStatus.ready()
indexed_count += 1
if indexed_count % 10 == 0:
await session.commit()
except Exception as e:
logger.exception(f"Phase 2 error for {item.get('relative_path')}: {e}")
try:
await session.rollback()
except Exception:
pass
try:
document.status = DocumentStatus.failed(str(e)[:500])
document.updated_at = get_current_timestamp()
await session.commit()
except Exception:
try:
await session.rollback()
except Exception:
pass
failed_count += 1
# Cleanup empty folders
existing_dirs = set()
@ -846,8 +778,6 @@ async def index_local_folder(
raise
warning_parts = []
if duplicate_count > 0:
warning_parts.append(f"{duplicate_count} duplicate")
if failed_count > 0:
warning_parts.append(f"{failed_count} failed")
warning_message = ", ".join(warning_parts) if warning_parts else None
@ -859,7 +789,6 @@ async def index_local_folder(
"indexed": indexed_count,
"skipped": skipped_count,
"failed": failed_count,
"duplicates": duplicate_count,
},
)
@ -899,8 +828,8 @@ async def _index_single_file(
if not full_path.exists():
rel = str(full_path.relative_to(folder_path))
unique_id = f"{folder_name}:{rel}"
uid_hash = generate_unique_identifier_hash(
DocumentType.LOCAL_FOLDER_FILE, unique_id, search_space_id
uid_hash = compute_identifier_hash(
DocumentType.LOCAL_FOLDER_FILE.value, unique_id, search_space_id
)
existing = await check_document_by_unique_identifier(session, uid_hash)
if existing:
@ -918,8 +847,8 @@ async def _index_single_file(
rel_path = str(full_path.relative_to(folder_path))
unique_id = f"{folder_name}:{rel_path}"
uid_hash = generate_unique_identifier_hash(
DocumentType.LOCAL_FOLDER_FILE, unique_id, search_space_id
uid_hash = compute_identifier_hash(
DocumentType.LOCAL_FOLDER_FILE.value, unique_id, search_space_id
)
try:
@ -945,83 +874,51 @@ async def _index_single_file(
await create_version_snapshot(session, existing)
long_context_llm = await get_user_long_context_llm(
session, user_id, search_space_id
)
title = full_path.name
mtime = full_path.stat().st_mtime
metadata_sections = [
("METADATA", [f"Title: {title}", f"Folder: {folder_name}", f"Path: {rel_path}"]),
("CONTENT", [content]),
]
document_string = build_document_metadata_string(metadata_sections)
connector_doc = _build_connector_doc(
title=full_path.name,
content=content,
relative_path=rel_path,
folder_name=folder_name,
search_space_id=search_space_id,
user_id=user_id,
enable_summary=enable_summary,
)
summary_content = ""
if long_context_llm and enable_summary:
summary_content, _ = await generate_document_summary(
document_string, long_context_llm, {"folder_name": folder_name, "file_path": rel_path}
)
pipeline = IndexingPipelineService(session)
llm = await get_user_long_context_llm(session, user_id, search_space_id)
documents = await pipeline.prepare_for_indexing([connector_doc])
embedding = embed_text(document_string)
chunks = await create_document_chunks(document_string)
if not documents:
return 0, 1, None
doc_metadata = {
"folder_name": folder_name,
"file_path": rel_path,
"summary": summary_content,
"mtime": mtime,
}
db_doc = documents[0]
await pipeline.index(db_doc, connector_doc, llm)
# Post-pipeline: assign folder_id and mtime
await session.refresh(db_doc)
folder_id = None
if root_folder_id:
folder_id = await _resolve_folder_for_file(
session, rel_path, root_folder_id, search_space_id, user_id
)
if existing:
existing.title = title
existing.content = document_string
existing.content_hash = content_hash
existing.source_markdown = content
existing.embedding = embedding
existing.document_metadata = doc_metadata
existing.folder_id = folder_id
await safe_set_chunks(session, existing, chunks)
existing.updated_at = get_current_timestamp()
existing.status = DocumentStatus.ready()
else:
document = Document(
search_space_id=search_space_id,
title=title,
document_type=DocumentType.LOCAL_FOLDER_FILE,
document_metadata=doc_metadata,
content=document_string,
content_hash=content_hash,
unique_identifier_hash=uid_hash,
source_markdown=content,
embedding=embedding,
status=DocumentStatus.ready(),
updated_at=get_current_timestamp(),
created_by_id=user_id,
connector_id=None,
folder_id=folder_id,
)
session.add(document)
await session.flush()
for chunk in chunks:
chunk.document_id = document.id
session.add_all(chunks)
db_doc.folder_id = folder_id
doc_meta = dict(db_doc.document_metadata or {})
doc_meta["mtime"] = mtime
db_doc.document_metadata = doc_meta
await session.commit()
await task_logger.log_task_success(
log_entry,
f"Single file indexed: {rel_path}",
{"file": rel_path},
)
return 1, 0, None
indexed = 1 if DocumentStatus.is_state(db_doc.status, DocumentStatus.READY) else 0
failed_msg = None if indexed else "Indexing failed"
if indexed:
await task_logger.log_task_success(
log_entry,
f"Single file indexed: {rel_path}",
{"file": rel_path},
)
return indexed, 0 if indexed else 1, failed_msg
except Exception as e:
logger.exception(f"Error indexing single file {target_file_path}: {e}")

View file

@ -1,8 +1,7 @@
"""Integration tests for local folder indexer — Tier 3 (I1-I5), Tier 4 (F1-F5), Tier 5 (P1)."""
"""Integration tests for local folder indexer — Tier 3 (I1-I5), Tier 4 (F1-F7), Tier 5 (P1)."""
import os
from pathlib import Path
from unittest.mock import AsyncMock, MagicMock
import pytest
from sqlalchemy import func, select
@ -18,41 +17,11 @@ from app.db import (
User,
)
import app.tasks.connector_indexers.local_folder_indexer as _lfi_mod
pytestmark = pytest.mark.integration
@pytest.fixture
def patched_self_hosted(monkeypatch):
_cfg = type("_Cfg", (), {"is_self_hosted": staticmethod(lambda: True)})()
monkeypatch.setattr(_lfi_mod, "config", _cfg)
@pytest.fixture
def patched_embed_for_indexer(monkeypatch):
from app.config import config as app_config
dim = app_config.embedding_model_instance.dimension
mock = MagicMock(return_value=[0.1] * dim)
monkeypatch.setattr(_lfi_mod, "embed_text", mock)
return mock
@pytest.fixture
def patched_chunks_for_indexer(monkeypatch):
from app.db import Chunk
from app.config import config as app_config
dim = app_config.embedding_model_instance.dimension
async def mock_create_chunks(text):
return [Chunk(content="chunk", embedding=[0.1] * dim)]
monkeypatch.setattr(_lfi_mod, "create_document_chunks", mock_create_chunks)
@pytest.fixture
def patched_summary_for_indexer(monkeypatch):
monkeypatch.setattr(_lfi_mod, "get_user_long_context_llm", AsyncMock(return_value=None))
UNIFIED_FIXTURES = (
"patched_summarize", "patched_embed_texts", "patched_chunk_text",
)
# ====================================================================
@ -62,12 +31,7 @@ def patched_summary_for_indexer(monkeypatch):
class TestFullIndexer:
@pytest.mark.usefixtures(
"patched_self_hosted",
"patched_embed_for_indexer",
"patched_chunks_for_indexer",
"patched_summary_for_indexer",
)
@pytest.mark.usefixtures(*UNIFIED_FIXTURES)
async def test_i1_new_file_indexed(
self,
db_session: AsyncSession,
@ -103,12 +67,7 @@ class TestFullIndexer:
assert docs[0].document_type == DocumentType.LOCAL_FOLDER_FILE
assert DocumentStatus.is_state(docs[0].status, DocumentStatus.READY)
@pytest.mark.usefixtures(
"patched_self_hosted",
"patched_embed_for_indexer",
"patched_chunks_for_indexer",
"patched_summary_for_indexer",
)
@pytest.mark.usefixtures(*UNIFIED_FIXTURES)
async def test_i2_unchanged_skipped(
self,
db_session: AsyncSession,
@ -130,7 +89,6 @@ class TestFullIndexer:
)
assert count1 == 1
# Second run — unchanged, pass root_folder_id from first run
count2, _, _, _ = await index_local_folder(
session=db_session,
search_space_id=db_search_space.id,
@ -151,12 +109,7 @@ class TestFullIndexer:
).scalar_one()
assert total == 1
@pytest.mark.usefixtures(
"patched_self_hosted",
"patched_embed_for_indexer",
"patched_chunks_for_indexer",
"patched_summary_for_indexer",
)
@pytest.mark.usefixtures(*UNIFIED_FIXTURES)
async def test_i3_changed_reindexed(
self,
db_session: AsyncSession,
@ -178,9 +131,7 @@ class TestFullIndexer:
folder_name="test-folder",
)
# Modify
f.write_text("# Version 2\n\nUpdated.")
# Touch mtime to ensure it's detected as different
os.utime(f, (f.stat().st_atime + 10, f.stat().st_mtime + 10))
count, _, _, _ = await index_local_folder(
@ -193,7 +144,6 @@ class TestFullIndexer:
)
assert count == 1
# Should have a version snapshot
versions = (
await db_session.execute(
select(DocumentVersion).join(Document).where(
@ -204,12 +154,7 @@ class TestFullIndexer:
).scalars().all()
assert len(versions) >= 1
@pytest.mark.usefixtures(
"patched_self_hosted",
"patched_embed_for_indexer",
"patched_chunks_for_indexer",
"patched_summary_for_indexer",
)
@pytest.mark.usefixtures(*UNIFIED_FIXTURES)
async def test_i4_deleted_removed(
self,
db_session: AsyncSession,
@ -262,12 +207,7 @@ class TestFullIndexer:
).scalar_one()
assert docs_after == 0
@pytest.mark.usefixtures(
"patched_self_hosted",
"patched_embed_for_indexer",
"patched_chunks_for_indexer",
"patched_summary_for_indexer",
)
@pytest.mark.usefixtures(*UNIFIED_FIXTURES)
async def test_i5_single_file_mode(
self,
db_session: AsyncSession,
@ -305,18 +245,13 @@ class TestFullIndexer:
# ====================================================================
# Tier 4: Folder Mirroring (F1-F5)
# Tier 4: Folder Mirroring (F1-F7)
# ====================================================================
class TestFolderMirroring:
@pytest.mark.usefixtures(
"patched_self_hosted",
"patched_embed_for_indexer",
"patched_chunks_for_indexer",
"patched_summary_for_indexer",
)
@pytest.mark.usefixtures(*UNIFIED_FIXTURES)
async def test_f1_root_folder_created(
self,
db_session: AsyncSession,
@ -344,12 +279,7 @@ class TestFolderMirroring:
).scalar_one()
assert root_folder.name == "test-folder"
@pytest.mark.usefixtures(
"patched_self_hosted",
"patched_embed_for_indexer",
"patched_chunks_for_indexer",
"patched_summary_for_indexer",
)
@pytest.mark.usefixtures(*UNIFIED_FIXTURES)
async def test_f2_nested_folder_rows(
self,
db_session: AsyncSession,
@ -393,12 +323,7 @@ class TestFolderMirroring:
assert daily_folder.parent_id == notes_folder.id
assert weekly_folder.parent_id == notes_folder.id
@pytest.mark.usefixtures(
"patched_self_hosted",
"patched_embed_for_indexer",
"patched_chunks_for_indexer",
"patched_summary_for_indexer",
)
@pytest.mark.usefixtures(*UNIFIED_FIXTURES)
async def test_f3_resync_reuses_folders(
self,
db_session: AsyncSession,
@ -428,7 +353,6 @@ class TestFolderMirroring:
).scalars().all()
ids_before = {f.id for f in folders_before}
# Re-sync with root_folder_id from first run
await index_local_folder(
session=db_session,
search_space_id=db_search_space.id,
@ -447,12 +371,7 @@ class TestFolderMirroring:
assert ids_before == ids_after
@pytest.mark.usefixtures(
"patched_self_hosted",
"patched_embed_for_indexer",
"patched_chunks_for_indexer",
"patched_summary_for_indexer",
)
@pytest.mark.usefixtures(*UNIFIED_FIXTURES)
async def test_f4_folder_id_assigned(
self,
db_session: AsyncSession,
@ -496,15 +415,9 @@ class TestFolderMirroring:
assert today_doc.folder_id == daily_folder.id
# Root doc should be in the root folder
assert root_doc.folder_id == root_folder_id
@pytest.mark.usefixtures(
"patched_self_hosted",
"patched_embed_for_indexer",
"patched_chunks_for_indexer",
"patched_summary_for_indexer",
)
@pytest.mark.usefixtures(*UNIFIED_FIXTURES)
async def test_f5_empty_folder_cleanup(
self,
db_session: AsyncSession,
@ -531,7 +444,6 @@ class TestFolderMirroring:
folder_name="test-folder",
)
# Verify weekly folder exists
weekly_folder = (
await db_session.execute(
select(Folder).where(Folder.name == "weekly")
@ -539,7 +451,6 @@ class TestFolderMirroring:
).scalar_one_or_none()
assert weekly_folder is not None
# Delete weekly directory + its file
shutil.rmtree(weekly)
await index_local_folder(
@ -551,7 +462,6 @@ class TestFolderMirroring:
root_folder_id=root_folder_id,
)
# weekly Folder should be gone (empty, dir removed)
weekly_after = (
await db_session.execute(
select(Folder).where(Folder.name == "weekly")
@ -559,7 +469,6 @@ class TestFolderMirroring:
).scalar_one_or_none()
assert weekly_after is None
# daily should still exist
daily_after = (
await db_session.execute(
select(Folder).where(Folder.name == "daily")
@ -567,12 +476,7 @@ class TestFolderMirroring:
).scalar_one_or_none()
assert daily_after is not None
@pytest.mark.usefixtures(
"patched_self_hosted",
"patched_embed_for_indexer",
"patched_chunks_for_indexer",
"patched_summary_for_indexer",
)
@pytest.mark.usefixtures(*UNIFIED_FIXTURES)
async def test_f6_single_file_creates_subfolder(
self,
db_session: AsyncSession,
@ -634,12 +538,7 @@ class TestFolderMirroring:
assert daily_folder.parent_id == notes_folder.id
assert notes_folder.parent_id == root_folder_id
@pytest.mark.usefixtures(
"patched_self_hosted",
"patched_embed_for_indexer",
"patched_chunks_for_indexer",
"patched_summary_for_indexer",
)
@pytest.mark.usefixtures(*UNIFIED_FIXTURES)
async def test_f7_single_file_delete_cleans_empty_folders(
self,
db_session: AsyncSession,
@ -705,9 +604,7 @@ class TestFolderMirroring:
class TestPipelineIntegration:
@pytest.mark.usefixtures(
"patched_summarize", "patched_embed_texts", "patched_chunk_text"
)
@pytest.mark.usefixtures(*UNIFIED_FIXTURES)
async def test_p1_local_folder_file_through_pipeline(
self,
db_session: AsyncSession,