fix: optimize visualization hot paths and refine bgp brief workspace
This commit is contained in:
@@ -13,6 +13,7 @@ from app.db.session import get_db
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from app.models.collected_data import CollectedData
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from app.models.data_snapshot import DataSnapshot
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from app.models.datasource import DataSource
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from app.models.datasource_config import DataSourceConfig
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from app.models.task import CollectionTask
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from app.models.user import User
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from app.services.scheduler import (
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@@ -40,6 +41,156 @@ def is_due_for_collection(datasource: DataSource, now: datetime) -> bool:
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return datasource.last_run_at + timedelta(minutes=datasource.frequency_minutes) <= now
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def _task_rank_column(order_column):
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return func.row_number().over(
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partition_by=CollectionTask.datasource_id,
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order_by=(order_column.desc().nullslast(), CollectionTask.id.desc()),
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).label("row_num")
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async def _load_latest_running_tasks(
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db: AsyncSession,
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datasource_ids: list[int],
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) -> dict[int, CollectionTask]:
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if not datasource_ids:
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return {}
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ranked_tasks = (
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select(
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CollectionTask.id.label("task_id"),
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_task_rank_column(CollectionTask.started_at),
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)
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.where(CollectionTask.datasource_id.in_(datasource_ids))
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.where(CollectionTask.status == "running")
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.subquery()
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)
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result = await db.execute(
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select(CollectionTask)
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.join(ranked_tasks, CollectionTask.id == ranked_tasks.c.task_id)
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.where(ranked_tasks.c.row_num == 1)
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)
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return {task.datasource_id: task for task in result.scalars().all()}
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async def _load_latest_completed_tasks(
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db: AsyncSession,
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datasource_ids: list[int],
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) -> dict[int, CollectionTask]:
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if not datasource_ids:
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return {}
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ranked_tasks = (
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select(
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CollectionTask.id.label("task_id"),
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_task_rank_column(CollectionTask.completed_at),
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)
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.where(CollectionTask.datasource_id.in_(datasource_ids))
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.where(CollectionTask.completed_at.isnot(None))
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.where(CollectionTask.status.in_(("success", "failed", "cancelled")))
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.subquery()
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)
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result = await db.execute(
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select(CollectionTask)
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.join(ranked_tasks, CollectionTask.id == ranked_tasks.c.task_id)
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.where(ranked_tasks.c.row_num == 1)
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)
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return {task.datasource_id: task for task in result.scalars().all()}
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async def _load_latest_task_ids(
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db: AsyncSession,
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datasource_ids: list[int],
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) -> dict[int, int]:
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if not datasource_ids:
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return {}
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ranked_tasks = (
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select(
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CollectionTask.id.label("task_id"),
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CollectionTask.datasource_id.label("datasource_id"),
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func.row_number().over(
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partition_by=CollectionTask.datasource_id,
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order_by=CollectionTask.id.desc(),
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).label("row_num"),
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)
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.where(CollectionTask.datasource_id.in_(datasource_ids))
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.subquery()
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)
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result = await db.execute(
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select(ranked_tasks.c.datasource_id, ranked_tasks.c.task_id)
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.where(ranked_tasks.c.row_num == 1)
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)
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return {datasource_id: task_id for datasource_id, task_id in result.all()}
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async def _load_datasource_data_counts(
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db: AsyncSession,
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sources: list[str],
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) -> dict[str, int]:
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if not sources:
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return {}
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result = await db.execute(
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select(CollectedData.source, func.count(CollectedData.id))
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.where(CollectedData.source.in_(sources))
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.group_by(CollectedData.source)
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)
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return {source: count for source, count in result.all()}
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async def _load_datasource_endpoint_overrides(
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db: AsyncSession,
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sources: list[str],
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) -> dict[str, str]:
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if not sources:
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return {}
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result = await db.execute(
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select(DataSourceConfig.name, DataSourceConfig.endpoint)
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.where(DataSourceConfig.name.in_(sources))
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.where(DataSourceConfig.is_active.is_(True))
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.where(DataSourceConfig.endpoint.isnot(None))
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)
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return {
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name: endpoint
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for name, endpoint in result.all()
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if endpoint
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}
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async def _load_datasource_list_context(
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db: AsyncSession,
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datasources: list[DataSource],
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) -> tuple[dict[int, CollectionTask], dict[int, CollectionTask], dict[str, int], dict[str, str]]:
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datasource_ids = [datasource.id for datasource in datasources]
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sources = [datasource.source for datasource in datasources]
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running_tasks = await _load_latest_running_tasks(db, datasource_ids)
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datasource_by_id = {datasource.id: datasource for datasource in datasources}
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now = datetime.now(timezone.utc)
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stale_datasource_ids: list[int] = []
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for datasource_id, task in running_tasks.items():
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started_at = task.started_at
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if started_at is None:
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continue
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if started_at.tzinfo is None:
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started_at = started_at.replace(tzinfo=timezone.utc)
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if now - started_at > timedelta(minutes=STALE_RUNNING_TASK_TIMEOUT_MINUTES):
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datasource = datasource_by_id.get(datasource_id)
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if datasource is not None:
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await fail_and_rollback_stale_running_task(db, datasource, task)
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stale_datasource_ids.append(datasource_id)
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if stale_datasource_ids:
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running_tasks = await _load_latest_running_tasks(db, datasource_ids)
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completed_tasks = await _load_latest_completed_tasks(db, datasource_ids)
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data_counts = await _load_datasource_data_counts(db, sources)
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endpoint_overrides = await _load_datasource_endpoint_overrides(db, sources)
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return running_tasks, completed_tasks, data_counts, endpoint_overrides
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async def get_datasource_record(db: AsyncSession, source_id: str) -> Optional[DataSource]:
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datasource = None
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try:
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@@ -58,18 +209,6 @@ async def get_datasource_record(db: AsyncSession, source_id: str) -> Optional[Da
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return result.scalar_one_or_none()
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async def get_last_completed_task(db: AsyncSession, datasource_id: int) -> Optional[CollectionTask]:
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result = await db.execute(
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select(CollectionTask)
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.where(CollectionTask.datasource_id == datasource_id)
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.where(CollectionTask.completed_at.isnot(None))
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.where(CollectionTask.status.in_(("success", "failed", "cancelled")))
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.order_by(CollectionTask.completed_at.desc())
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.limit(1)
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)
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return result.scalar_one_or_none()
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async def get_running_task(db: AsyncSession, datasource_id: int) -> Optional[CollectionTask]:
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result = await db.execute(
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select(CollectionTask)
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@@ -262,14 +401,17 @@ async def list_datasources(
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collector_list = []
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config = get_data_sources_config()
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running_tasks, completed_tasks, data_counts, endpoint_overrides = await _load_datasource_list_context(
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db,
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datasources,
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)
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for datasource in datasources:
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running_task = await get_running_task(db, datasource.id)
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last_task = await get_last_completed_task(db, datasource.id)
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endpoint = await config.get_url(datasource.source, db)
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data_count_result = await db.execute(
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select(func.count(CollectedData.id)).where(CollectedData.source == datasource.source)
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running_task = running_tasks.get(datasource.id)
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last_task = completed_tasks.get(datasource.id)
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endpoint = endpoint_overrides.get(datasource.source) or config.get_yaml_url(
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datasource.source,
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)
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data_count = data_count_result.scalar() or 0
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data_count = data_counts.get(datasource.source, 0)
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last_run_at = datasource.last_run_at or (last_task.completed_at if last_task else None)
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last_run = to_iso8601_utc(last_run_at)
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@@ -330,9 +472,13 @@ async def trigger_all_datasources(
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skipped_sources: list[dict] = []
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failed_sources: list[dict] = []
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now = datetime.now(timezone.utc)
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running_tasks = await _load_latest_running_tasks(
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db,
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[datasource.id for datasource in datasources],
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)
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for datasource in datasources:
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running_task = await get_running_task(db, datasource.id)
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running_task = running_tasks.get(datasource.id)
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if running_task is not None:
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skipped_sources.append(
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{
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@@ -360,7 +506,7 @@ async def trigger_all_datasources(
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)
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continue
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previous_task_ids[datasource.id] = await get_latest_task_id_for_datasource(datasource.id)
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previous_task_ids[datasource.id] = None
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success = run_collector_now(datasource.source)
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if not success:
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failed_sources.append(
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@@ -382,13 +528,24 @@ async def trigger_all_datasources(
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}
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)
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latest_task_ids = await _load_latest_task_ids(
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db,
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[datasource.id for datasource in datasources],
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)
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for datasource_id in previous_task_ids:
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previous_task_ids[datasource_id] = latest_task_ids.get(datasource_id)
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for _ in range(20):
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await asyncio.sleep(0.1)
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pending = [item for item in triggered_sources if item["task_id"] is None]
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if not pending:
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break
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latest_task_ids = await _load_latest_task_ids(
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db,
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[item["id"] for item in pending],
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)
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for item in pending:
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task_id = await get_latest_task_id_for_datasource(item["id"])
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task_id = latest_task_ids.get(item["id"])
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if task_id is not None and task_id != previous_task_ids.get(item["id"]):
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item["task_id"] = task_id
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