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https://github.com/basicmachines-co/basic-memory
synced 2026-06-21 13:47:35 +00:00
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1 Commits
| Author | SHA1 | Date | |
|---|---|---|---|
| 615d8ba685 |
@@ -132,6 +132,12 @@ class BasicMemoryConfig(BaseSettings):
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gt=0,
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)
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sync_batch_size: int = Field(
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default=100,
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description="Number of files to process in a single database transaction during sync. Higher values improve performance with remote databases (Postgres) but increase memory usage. Typical values: 100 (conservative), 500 (balanced), 1000 (aggressive).",
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gt=0,
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)
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kebab_filenames: bool = Field(
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default=False,
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description="Format for generated filenames. False preserves spaces and special chars, True converts them to hyphens for consistency with permalinks",
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@@ -63,6 +63,38 @@ class EntityRepository(Repository[Entity]):
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)
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return await self.find_one(query)
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async def get_by_file_paths_batch(
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self, file_paths: Sequence[Union[Path, str]]
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) -> dict[str, Entity]:
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"""Batch fetch entities by file paths with eager-loaded relationships.
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Optimized for scan operations - reduces N queries to 1 batched query.
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Returns entities with relationships already loaded via selectinload.
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Args:
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file_paths: List of file paths to fetch entities for
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Returns:
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Dict mapping file_path (as posix string) -> Entity
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Only includes entities that exist; missing files are not in dict
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"""
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if not file_paths:
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return {}
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# Convert all paths to posix strings
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posix_paths = [Path(p).as_posix() for p in file_paths]
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# Batch query with eager loading
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query = (
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self.select().where(Entity.file_path.in_(posix_paths)).options(*self.get_load_options())
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)
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result = await self.execute_query(query)
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entities = list(result.scalars().all())
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# Return as dict for O(1) lookup
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return {e.file_path: e for e in entities}
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async def find_by_checksum(self, checksum: str) -> Sequence[Entity]:
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"""Find entities with the given checksum.
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@@ -338,3 +370,80 @@ class EntityRepository(Repository[Entity]):
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# Re-raise if not a foreign key error
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raise
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return entity
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async def upsert_entities(self, entities: List[Entity]) -> List[Entity]:
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"""Bulk insert or update multiple entities in a single transaction.
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Optimized for batch operations with remote databases (Postgres).
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Handles conflicts the same way as upsert_entity() but processes
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all entities in one transaction.
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Args:
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entities: List of entities to upsert
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Returns:
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List of upserted entities with relationships loaded
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Raises:
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SyncFatalError: If any entity references a non-existent project_id
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"""
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if not entities:
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return []
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async with db.scoped_session(self.session_maker) as session:
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# Set project_id on all entities if needed
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for entity in entities:
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self._set_project_id_if_needed(entity)
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# Try to add all entities
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for entity in entities:
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session.add(entity)
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try:
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await session.flush()
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# Fetch all entities with relationships loaded
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file_paths = [e.file_path for e in entities]
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query = (
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self.select()
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.where(Entity.file_path.in_(file_paths))
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.options(*self.get_load_options())
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)
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result = await session.execute(query)
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return list(result.scalars().all())
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except IntegrityError as e:
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# Check for foreign key constraint failures
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error_str = str(e)
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if (
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"FOREIGN KEY constraint failed" in error_str
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or "violates foreign key constraint" in error_str
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):
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from basic_memory.services.exceptions import SyncFatalError
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raise SyncFatalError(
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"Cannot sync entities: project_id does not exist in database. "
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"The project may have been deleted. This sync will be terminated."
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) from e
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# For other integrity errors (file_path or permalink conflicts),
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# rollback and fall back to individual processing
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await session.rollback()
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# Process each entity individually to handle conflicts properly
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logger.debug(
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f"Batch upsert failed with IntegrityError, falling back to individual upserts for {len(entities)} entities"
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)
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result_entities = []
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for entity in entities:
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try:
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upserted = await self.upsert_entity(entity)
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result_entities.append(upserted)
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except Exception as individual_error:
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logger.error(
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f"Failed to upsert entity {entity.file_path}: {individual_error}"
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)
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# Continue with other entities
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return result_entities
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@@ -70,3 +70,33 @@ class ObservationRepository(Repository[Observation]):
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observations_by_entity[obs.entity_id].append(obs)
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return observations_by_entity
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async def delete_by_entity_ids(self, entity_ids: List[int]) -> int:
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"""Delete all observations for multiple entities in a single query.
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Optimized for batch operations - deletes observations for many entities
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in one database transaction.
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Args:
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entity_ids: List of entity IDs whose observations should be deleted
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Returns:
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Number of observations deleted
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"""
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if not entity_ids:
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return 0
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from basic_memory import db
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async with db.scoped_session(self.session_maker) as session:
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# Use bulk delete with IN clause
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query = select(Observation).where(Observation.entity_id.in_(entity_ids))
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result = await session.execute(query)
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observations_to_delete = result.scalars().all()
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# Delete all observations
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for obs in observations_to_delete:
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await session.delete(obs)
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await session.flush()
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return len(observations_to_delete)
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@@ -67,6 +67,27 @@ class RelationRepository(Repository[Relation]):
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async with db.scoped_session(self.session_maker) as session:
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await session.execute(delete(Relation).where(Relation.from_id == entity_id))
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async def delete_outgoing_relations_from_entities(self, entity_ids: List[int]) -> int:
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"""Delete outgoing relations for multiple entities in a single query.
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Optimized for batch operations - deletes relations for many entities
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in one database transaction. Only deletes relations where these entities
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are the source (from_id).
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Args:
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entity_ids: List of entity IDs whose outgoing relations should be deleted
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Returns:
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Number of relations deleted
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"""
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if not entity_ids:
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return 0
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async with db.scoped_session(self.session_maker) as session:
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# Use bulk delete with IN clause
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result = await session.execute(delete(Relation).where(Relation.from_id.in_(entity_ids)))
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return result.rowcount or 0
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async def find_unresolved_relations(self) -> Sequence[Relation]:
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"""Find all unresolved relations, where to_id is null."""
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query = select(Relation).filter(Relation.to_id.is_(None))
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@@ -31,6 +31,7 @@ from basic_memory.services import EntityService, FileService
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from basic_memory.services.exceptions import SyncFatalError
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from basic_memory.services.link_resolver import LinkResolver
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from basic_memory.services.search_service import SearchService
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from basic_memory.sync.utils import chunks
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# Circuit breaker configuration
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MAX_CONSECUTIVE_FAILURES = 3
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@@ -299,38 +300,139 @@ class SyncService:
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for path in report.deleted:
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await self.handle_delete(path)
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# then new and modified
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with logfire.span("process_new_files", new_count=len(report.new)):
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for path in report.new:
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entity, _ = await self.sync_file(path, new=True)
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# then new and modified - process in batches for better performance
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batch_size = self.app_config.sync_batch_size
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logger.debug(f"Using batch size of {batch_size} for file processing")
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# Track if file was skipped
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if entity is None and await self._should_skip_file(path):
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failure_info = self._file_failures[path]
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report.skipped_files.append(
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SkippedFile(
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path=path,
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reason=failure_info.last_error,
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failure_count=failure_info.count,
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first_failed=failure_info.first_failure,
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with logfire.span("process_new_files", new_count=len(report.new)):
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# Convert set to list for batching
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new_files_list = list(report.new)
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for batch in chunks(new_files_list, batch_size):
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logger.debug(f"Processing batch of {len(batch)} new files")
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# Separate markdown and non-markdown files
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markdown_files = [p for p in batch if self.file_service.is_markdown(p)]
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regular_files = [p for p in batch if not self.file_service.is_markdown(p)]
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# Batch process markdown files
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if markdown_files:
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try:
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batch_results = await self.sync_markdown_batch(markdown_files, new=True)
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# Track skipped files
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for path, (entity, _) in zip(markdown_files, batch_results):
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if entity is None and await self._should_skip_file(path):
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failure_info = self._file_failures[path]
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report.skipped_files.append(
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SkippedFile(
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path=path,
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reason=failure_info.last_error,
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failure_count=failure_info.count,
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first_failed=failure_info.first_failure,
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)
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)
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except SyncFatalError:
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# Re-raise fatal errors immediately
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raise
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except Exception as e:
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# Batch method raised an exception - record failure for all files in batch
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logger.error(f"Batch sync failed for {len(markdown_files)} files: {e}")
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for path in markdown_files:
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await self._record_failure(path, str(e))
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# Track skipped files
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if await self._should_skip_file(path):
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failure_info = self._file_failures[path]
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report.skipped_files.append(
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SkippedFile(
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path=path,
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reason=failure_info.last_error,
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failure_count=failure_info.count,
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first_failed=failure_info.first_failure,
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)
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)
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# Process regular files individually (they're already fast)
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for path in regular_files:
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entity, _ = await self.sync_file(path, new=True)
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# Track if file was skipped
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if entity is None and await self._should_skip_file(path):
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failure_info = self._file_failures[path]
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report.skipped_files.append(
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SkippedFile(
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path=path,
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reason=failure_info.last_error,
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failure_count=failure_info.count,
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first_failed=failure_info.first_failure,
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)
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)
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)
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with logfire.span("process_modified_files", modified_count=len(report.modified)):
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for path in report.modified:
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entity, _ = await self.sync_file(path, new=False)
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# Convert set to list for batching
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modified_files_list = list(report.modified)
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# Track if file was skipped
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if entity is None and await self._should_skip_file(path):
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failure_info = self._file_failures[path]
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report.skipped_files.append(
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SkippedFile(
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path=path,
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reason=failure_info.last_error,
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failure_count=failure_info.count,
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first_failed=failure_info.first_failure,
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for batch in chunks(modified_files_list, batch_size):
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logger.debug(f"Processing batch of {len(batch)} modified files")
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# Separate markdown and non-markdown files
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markdown_files = [p for p in batch if self.file_service.is_markdown(p)]
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regular_files = [p for p in batch if not self.file_service.is_markdown(p)]
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# Batch process markdown files
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if markdown_files:
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try:
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batch_results = await self.sync_markdown_batch(markdown_files, new=False)
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# Track skipped files
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for path, (entity, _) in zip(markdown_files, batch_results):
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if entity is None and await self._should_skip_file(path):
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failure_info = self._file_failures[path]
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report.skipped_files.append(
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SkippedFile(
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path=path,
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reason=failure_info.last_error,
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failure_count=failure_info.count,
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first_failed=failure_info.first_failure,
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)
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)
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except SyncFatalError:
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# Re-raise fatal errors immediately
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raise
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except Exception as e:
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# Batch method raised an exception - record failure for all files in batch
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logger.error(f"Batch sync failed for {len(markdown_files)} files: {e}")
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for path in markdown_files:
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await self._record_failure(path, str(e))
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# Track skipped files
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if await self._should_skip_file(path):
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failure_info = self._file_failures[path]
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report.skipped_files.append(
|
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SkippedFile(
|
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path=path,
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reason=failure_info.last_error,
|
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failure_count=failure_info.count,
|
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first_failed=failure_info.first_failure,
|
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)
|
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)
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|
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# Process regular files individually (they're already fast)
|
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for path in regular_files:
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entity, _ = await self.sync_file(path, new=False)
|
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|
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# Track if file was skipped
|
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if entity is None and await self._should_skip_file(path):
|
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failure_info = self._file_failures[path]
|
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report.skipped_files.append(
|
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SkippedFile(
|
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path=path,
|
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reason=failure_info.last_error,
|
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failure_count=failure_info.count,
|
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first_failed=failure_info.first_failure,
|
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)
|
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)
|
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)
|
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|
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# Only resolve relations if there were actual changes
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# If no files changed, no new unresolved relations could have been created
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@@ -484,6 +586,12 @@ class SyncService:
|
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|
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logger.debug(f"Processing {len(file_paths_to_scan)} files with mtime-based comparison")
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|
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# Optimization: Batch fetch all entities for files being scanned
|
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# This reduces N queries to 1 batch query (massive performance win for remote DBs)
|
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logger.debug(f"Batch fetching entities for {len(file_paths_to_scan)} files")
|
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entities_by_path = await self.entity_repository.get_by_file_paths_batch(file_paths_to_scan)
|
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logger.debug(f"Found {len(entities_by_path)} existing entities in database")
|
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|
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for rel_path in file_paths_to_scan:
|
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scanned_paths.add(rel_path)
|
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|
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@@ -495,8 +603,8 @@ class SyncService:
|
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|
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stat_info = abs_path.stat()
|
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|
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# Indexed lookup - single file query (not full table scan)
|
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db_entity = await self.entity_repository.get_by_file_path(rel_path)
|
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# O(1) dict lookup instead of database query
|
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db_entity = entities_by_path.get(rel_path)
|
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|
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if db_entity is None:
|
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# New file - need checksum for move detection
|
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@@ -737,6 +845,206 @@ class SyncService:
|
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# Return the final checksum to ensure everything is consistent
|
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return entity, final_checksum
|
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|
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@logfire.instrument()
|
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async def sync_markdown_batch(
|
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self, paths: List[str], new: bool = True
|
||||
) -> List[Tuple[Optional[Entity], str]]:
|
||||
"""Sync multiple markdown files in a single batch operation.
|
||||
|
||||
Optimized for remote databases (Postgres) - reduces N queries to 1 batch query.
|
||||
Parses all files first, then does all database operations in one transaction.
|
||||
|
||||
Args:
|
||||
paths: List of paths to markdown files
|
||||
new: Whether these are new files
|
||||
|
||||
Returns:
|
||||
List of tuples (entity, checksum) for each file
|
||||
"""
|
||||
from basic_memory.markdown.utils import entity_model_from_markdown
|
||||
|
||||
if not paths:
|
||||
return []
|
||||
|
||||
logger.debug(f"Batch syncing {len(paths)} markdown files (new={new})")
|
||||
|
||||
# Phase 1: Parse all files (no DB operations)
|
||||
parsed_files = []
|
||||
for path in paths:
|
||||
# Check if file should be skipped due to repeated failures (circuit breaker)
|
||||
if await self._should_skip_file(path):
|
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logger.warning(f"Skipping file in batch due to repeated failures: {path}")
|
||||
parsed_files.append(None)
|
||||
continue
|
||||
|
||||
try:
|
||||
file_content = await self.file_service.read_file_content(path)
|
||||
file_contains_frontmatter = has_frontmatter(file_content)
|
||||
|
||||
# Get file timestamps for tracking modification times
|
||||
file_stats = self.file_service.file_stats(path)
|
||||
created = datetime.fromtimestamp(file_stats.st_ctime).astimezone()
|
||||
modified = datetime.fromtimestamp(file_stats.st_mtime).astimezone()
|
||||
|
||||
# Parse markdown to get entity structure
|
||||
entity_markdown = await self.entity_parser.parse_file(path)
|
||||
|
||||
# Resolve permalink if needed (skip conflict checks during batch)
|
||||
permalink = entity_markdown.frontmatter.permalink
|
||||
if file_contains_frontmatter and not self.app_config.disable_permalinks:
|
||||
permalink = await self.entity_service.resolve_permalink(
|
||||
path, markdown=entity_markdown, skip_conflict_check=True
|
||||
)
|
||||
|
||||
# If permalink changed, update the file
|
||||
if permalink != entity_markdown.frontmatter.permalink:
|
||||
logger.info(
|
||||
f"Updating permalink for path: {path}, "
|
||||
f"old_permalink: {entity_markdown.frontmatter.permalink}, "
|
||||
f"new_permalink: {permalink}"
|
||||
)
|
||||
entity_markdown.frontmatter.metadata["permalink"] = permalink
|
||||
await self.file_service.update_frontmatter(path, {"permalink": permalink})
|
||||
|
||||
# Convert to entity model (without saving to DB yet)
|
||||
entity_model = entity_model_from_markdown(Path(path), entity_markdown)
|
||||
entity_model.checksum = None # Will be set after relations are resolved
|
||||
|
||||
parsed_files.append(
|
||||
{
|
||||
"path": path,
|
||||
"entity_model": entity_model,
|
||||
"entity_markdown": entity_markdown,
|
||||
"created": created,
|
||||
"modified": modified,
|
||||
"mtime": file_stats.st_mtime,
|
||||
"size": file_stats.st_size,
|
||||
}
|
||||
)
|
||||
|
||||
except Exception as e:
|
||||
# Check if this is a fatal error (or caused by one)
|
||||
# Fatal errors like project deletion should terminate sync immediately
|
||||
if isinstance(e, SyncFatalError) or isinstance(e.__cause__, SyncFatalError):
|
||||
logger.error(
|
||||
f"Fatal sync error encountered during batch parse, terminating sync: path={path}"
|
||||
)
|
||||
raise
|
||||
|
||||
# Otherwise treat as recoverable file-level error
|
||||
logger.error(f"Failed to parse file in batch: path={path}, error={e}")
|
||||
# Track failure for circuit breaker
|
||||
await self._record_failure(path, str(e))
|
||||
parsed_files.append(None) # Mark as failed
|
||||
|
||||
# Phase 2: Batch database operations
|
||||
# Filter out failed parses
|
||||
valid_files = [f for f in parsed_files if f is not None]
|
||||
if not valid_files:
|
||||
logger.warning("No valid files to sync in batch")
|
||||
return [(None, "") for _ in paths]
|
||||
|
||||
# If this is a new batch, upsert all entities at once
|
||||
if new:
|
||||
entities_to_upsert = [f["entity_model"] for f in valid_files]
|
||||
logger.debug(f"Batch upserting {len(entities_to_upsert)} new entities")
|
||||
upserted_entities = await self.entity_repository.upsert_entities(entities_to_upsert)
|
||||
|
||||
# Create lookup by file_path for O(1) access
|
||||
entities_by_path = {e.file_path: e for e in upserted_entities}
|
||||
|
||||
# If updating existing entities, we need to handle observations/relations differently
|
||||
else:
|
||||
logger.debug(f"Batch updating {len(valid_files)} existing entities")
|
||||
# For updates, we need to:
|
||||
# 1. Get existing entities
|
||||
# 2. Delete old observations/relations
|
||||
# 3. Upsert updated entities
|
||||
|
||||
file_paths = [f["path"] for f in valid_files]
|
||||
existing_entities = await self.entity_repository.get_by_file_paths_batch(file_paths)
|
||||
|
||||
# Delete old observations and relations in batch
|
||||
entity_ids = [e.id for e in existing_entities.values() if e.id]
|
||||
if entity_ids:
|
||||
await self.entity_service.observation_repository.delete_by_entity_ids(entity_ids)
|
||||
await self.relation_repository.delete_outgoing_relations_from_entities(entity_ids)
|
||||
|
||||
# Upsert all updated entities
|
||||
entities_to_upsert = [f["entity_model"] for f in valid_files]
|
||||
upserted_entities = await self.entity_repository.upsert_entities(entities_to_upsert)
|
||||
|
||||
# Create lookup by file_path
|
||||
entities_by_path = {e.file_path: e for e in upserted_entities}
|
||||
|
||||
# Phase 3: Post-processing (relations, checksums, search index)
|
||||
results = []
|
||||
for i, path in enumerate(paths):
|
||||
parsed_file = parsed_files[i]
|
||||
|
||||
# Skip failed files
|
||||
if parsed_file is None:
|
||||
results.append((None, ""))
|
||||
continue
|
||||
|
||||
entity = entities_by_path.get(parsed_file["path"])
|
||||
if entity is None:
|
||||
logger.error(f"Entity not found after upsert: {parsed_file['path']}")
|
||||
results.append((None, ""))
|
||||
continue
|
||||
|
||||
try:
|
||||
# Update relations for this entity
|
||||
entity_with_relations = await self.entity_service.update_entity_relations(
|
||||
parsed_file["path"], parsed_file["entity_markdown"]
|
||||
)
|
||||
|
||||
# Compute final checksum after relations are resolved
|
||||
final_checksum = await self.file_service.compute_checksum(parsed_file["path"])
|
||||
|
||||
# Update checksum, timestamps, and file metadata
|
||||
await self.entity_repository.update(
|
||||
entity.id,
|
||||
{
|
||||
"checksum": final_checksum,
|
||||
"created_at": parsed_file["created"],
|
||||
"updated_at": parsed_file["modified"],
|
||||
"mtime": parsed_file["mtime"],
|
||||
"size": parsed_file["size"],
|
||||
},
|
||||
)
|
||||
|
||||
# Index for search
|
||||
await self.search_service.index_entity(entity_with_relations)
|
||||
|
||||
# Clear failure tracking on successful sync
|
||||
self._clear_failure(parsed_file["path"])
|
||||
|
||||
results.append((entity_with_relations, final_checksum))
|
||||
|
||||
logger.debug(
|
||||
f"Batch sync completed for file: path={parsed_file['path']}, "
|
||||
f"entity_id={entity.id}, checksum={final_checksum[:8]}"
|
||||
)
|
||||
|
||||
except Exception as e:
|
||||
# Check if this is a fatal error
|
||||
if isinstance(e, SyncFatalError) or isinstance(e.__cause__, SyncFatalError):
|
||||
logger.error(
|
||||
f"Fatal sync error during post-processing, terminating sync: path={parsed_file['path']}"
|
||||
)
|
||||
raise
|
||||
|
||||
# Otherwise treat as recoverable file-level error
|
||||
logger.error(
|
||||
f"Failed to complete post-processing for file: path={parsed_file['path']}, error={e}"
|
||||
)
|
||||
await self._record_failure(parsed_file["path"], str(e))
|
||||
results.append((None, ""))
|
||||
continue
|
||||
|
||||
return results
|
||||
|
||||
@logfire.instrument()
|
||||
async def sync_regular_file(self, path: str, new: bool = True) -> Tuple[Optional[Entity], str]:
|
||||
"""Sync a non-markdown file with basic tracking.
|
||||
@@ -1134,13 +1442,13 @@ class SyncService:
|
||||
async def _scan_directory_full(self, directory: Path) -> List[str]:
|
||||
"""Full directory scan returning all file paths.
|
||||
|
||||
Uses scan_directory() which respects .bmignore patterns.
|
||||
Uses scan_directory() which respects .bmignore patterns.
|
||||
|
||||
Args:
|
||||
directory: Directory to scan
|
||||
Args:
|
||||
directory: Directory to scan
|
||||
|
||||
Returns:
|
||||
List of relative file paths (respects .bmignore)
|
||||
List of relative file paths (respects .bmignore)
|
||||
"""
|
||||
file_paths = []
|
||||
async for file_path_str, _ in self.scan_directory(directory):
|
||||
|
||||
@@ -0,0 +1,23 @@
|
||||
"""Utilities for sync operations."""
|
||||
|
||||
from typing import Iterator, List, TypeVar
|
||||
|
||||
T = TypeVar("T")
|
||||
|
||||
|
||||
def chunks(items: List[T], size: int) -> Iterator[List[T]]:
|
||||
"""Split a list into chunks of specified size.
|
||||
|
||||
Args:
|
||||
items: List of items to chunk
|
||||
size: Size of each chunk
|
||||
|
||||
Yields:
|
||||
Lists of items, each of specified size (last chunk may be smaller)
|
||||
|
||||
Example:
|
||||
>>> list(chunks([1, 2, 3, 4, 5], 2))
|
||||
[[1, 2], [3, 4], [5]]
|
||||
"""
|
||||
for i in range(0, len(items), size):
|
||||
yield items[i : i + size]
|
||||
@@ -1486,11 +1486,12 @@ async def test_circuit_breaker_skips_after_three_failures(
|
||||
# Create a file with malformed content that will fail to parse
|
||||
await create_test_file(test_file, "invalid markdown content")
|
||||
|
||||
# Mock sync_markdown_file to always fail
|
||||
async def mock_sync_markdown_file(*args, **kwargs):
|
||||
# Mock sync_markdown_batch to always fail for all files in batch
|
||||
async def mock_sync_markdown_batch(paths, new=True):
|
||||
# Simulate batch failure - return (None, "") for each path
|
||||
raise ValueError("Simulated sync failure")
|
||||
|
||||
with patch.object(sync_service, "sync_markdown_file", side_effect=mock_sync_markdown_file):
|
||||
with patch.object(sync_service, "sync_markdown_batch", side_effect=mock_sync_markdown_batch):
|
||||
# First sync - should fail and record (1/3)
|
||||
report1 = await sync_service.sync(project_dir)
|
||||
assert len(report1.skipped_files) == 0 # Not skipped yet
|
||||
@@ -1545,15 +1546,15 @@ async def test_circuit_breaker_resets_on_file_change(
|
||||
# Create initial failing content
|
||||
await create_test_file(test_file, "initial bad content")
|
||||
|
||||
# Mock sync_markdown_file to fail
|
||||
# Mock sync_markdown_batch to fail
|
||||
call_count = 0
|
||||
|
||||
async def mock_sync_markdown_file(*args, **kwargs):
|
||||
async def mock_sync_markdown_batch(paths, new=True):
|
||||
nonlocal call_count
|
||||
call_count += 1
|
||||
call_count += len(paths)
|
||||
raise ValueError("Simulated sync failure")
|
||||
|
||||
with patch.object(sync_service, "sync_markdown_file", side_effect=mock_sync_markdown_file):
|
||||
with patch.object(sync_service, "sync_markdown_batch", side_effect=mock_sync_markdown_batch):
|
||||
# Fail 3 times to hit circuit breaker threshold
|
||||
await sync_service.sync(project_dir) # Fail 1
|
||||
await touch_file(test_file) # Touch to trigger incremental scan
|
||||
@@ -1670,8 +1671,8 @@ async def test_circuit_breaker_handles_checksum_computation_failure(
|
||||
test_file = project_dir / "checksum_fail.md"
|
||||
await create_test_file(test_file, "content")
|
||||
|
||||
# Mock sync_markdown_file to fail
|
||||
async def mock_sync_markdown_file(*args, **kwargs):
|
||||
# Mock sync_markdown_batch to fail
|
||||
async def mock_sync_markdown_batch(paths, new=True):
|
||||
raise ValueError("Sync failure")
|
||||
|
||||
# Mock checksum computation to fail only during _record_failure (not during scan)
|
||||
@@ -1688,7 +1689,7 @@ async def test_circuit_breaker_handles_checksum_computation_failure(
|
||||
raise IOError("Cannot read file")
|
||||
|
||||
with (
|
||||
patch.object(sync_service, "sync_markdown_file", side_effect=mock_sync_markdown_file),
|
||||
patch.object(sync_service, "sync_markdown_batch", side_effect=mock_sync_markdown_batch),
|
||||
patch.object(
|
||||
sync_service.file_service,
|
||||
"compute_checksum",
|
||||
@@ -1757,16 +1758,16 @@ async def test_sync_fatal_error_terminates_sync_immediately(
|
||||
),
|
||||
)
|
||||
|
||||
# Mock entity_service.create_entity_from_markdown to raise SyncFatalError on first file
|
||||
# This simulates project being deleted during sync
|
||||
async def mock_create_entity_from_markdown(*args, **kwargs):
|
||||
# Mock entity_repository.upsert_entities to raise SyncFatalError
|
||||
# This simulates project being deleted during batch sync
|
||||
async def mock_upsert_entities(entities):
|
||||
raise SyncFatalError(
|
||||
"Cannot sync file 'file1.md': project_id=99999 does not exist in database. "
|
||||
"Cannot sync entities: project_id=99999 does not exist in database. "
|
||||
"The project may have been deleted. This sync will be terminated."
|
||||
)
|
||||
|
||||
with patch.object(
|
||||
entity_service, "create_entity_from_markdown", side_effect=mock_create_entity_from_markdown
|
||||
sync_service.entity_repository, "upsert_entities", side_effect=mock_upsert_entities
|
||||
):
|
||||
# Sync should raise SyncFatalError and terminate immediately
|
||||
with pytest.raises(SyncFatalError, match="project_id=99999 does not exist"):
|
||||
|
||||
Reference in New Issue
Block a user