streamlined
This commit is contained in:
parent
d1dd3213dc
commit
ab1d29b203
23 changed files with 853 additions and 22 deletions
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@ -382,6 +382,9 @@ async def run_manual(
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auto_queue_continuations=settings.ingestion_continuation_queue_enabled,
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queue_delay_seconds=settings.ingestion_continuation_base_delay_seconds,
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idempotency_key=idempotency_key,
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alert_blocked_failure_threshold=settings.ingestion_alert_blocked_failure_threshold,
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alert_network_failure_threshold=settings.ingestion_alert_network_failure_threshold,
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alert_retry_scheduled_threshold=settings.ingestion_alert_retry_scheduled_threshold,
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)
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except ingestion_service.RunAlreadyInProgressError as exc:
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await db_session.rollback()
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@ -167,6 +167,10 @@ async def search_scholars(
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interval_jitter_seconds=settings.scholar_name_search_interval_jitter_seconds,
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cooldown_block_threshold=settings.scholar_name_search_cooldown_block_threshold,
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cooldown_seconds=settings.scholar_name_search_cooldown_seconds,
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retry_alert_threshold=settings.scholar_name_search_alert_retry_count_threshold,
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cooldown_rejection_alert_threshold=(
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settings.scholar_name_search_alert_cooldown_rejections_threshold
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),
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)
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except scholar_service.ScholarServiceError as exc:
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raise ApiException(
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@ -219,6 +219,10 @@ class RunSummaryData(BaseModel):
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partial_count: int
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failed_state_counts: dict[str, int] = Field(default_factory=dict)
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failed_reason_counts: dict[str, int] = Field(default_factory=dict)
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scrape_failure_counts: dict[str, int] = Field(default_factory=dict)
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retry_counts: dict[str, int] = Field(default_factory=dict)
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alert_thresholds: dict[str, int] = Field(default_factory=dict)
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alert_flags: dict[str, bool] = Field(default_factory=dict)
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model_config = ConfigDict(extra="forbid")
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@ -40,6 +40,11 @@ FAILED_STATES = {
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ParseState.NETWORK_ERROR.value,
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"ingestion_error",
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}
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FAILURE_BUCKET_BLOCKED = "blocked_or_captcha"
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FAILURE_BUCKET_NETWORK = "network_error"
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FAILURE_BUCKET_LAYOUT = "layout_changed"
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FAILURE_BUCKET_INGESTION = "ingestion_error"
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FAILURE_BUCKET_OTHER = "other_failure"
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RUN_LOCK_NAMESPACE = 8217
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RESUMABLE_PARTIAL_REASONS = {
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"max_pages_reached",
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@ -83,6 +88,28 @@ class RunAlreadyInProgressError(RuntimeError):
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"""Raised when a run lock for a user is already held by another process."""
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def _int_or_default(value: Any, default: int = 0) -> int:
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try:
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return int(value)
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except (TypeError, ValueError):
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return default
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def _classify_failure_bucket(*, state: str, state_reason: str) -> str:
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reason = state_reason.strip().lower()
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normalized_state = state.strip().lower()
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if normalized_state == ParseState.BLOCKED_OR_CAPTCHA.value or reason.startswith("blocked_"):
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return FAILURE_BUCKET_BLOCKED
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if normalized_state == ParseState.NETWORK_ERROR.value or reason.startswith("network_"):
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return FAILURE_BUCKET_NETWORK
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if normalized_state == ParseState.LAYOUT_CHANGED.value:
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return FAILURE_BUCKET_LAYOUT
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if normalized_state == "ingestion_error":
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return FAILURE_BUCKET_INGESTION
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return FAILURE_BUCKET_OTHER
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class ScholarIngestionService:
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def __init__(self, *, source: ScholarSource) -> None:
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self._source = source
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@ -103,6 +130,9 @@ class ScholarIngestionService:
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auto_queue_continuations: bool = True,
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queue_delay_seconds: int = 60,
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idempotency_key: str | None = None,
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alert_blocked_failure_threshold: int = 1,
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alert_network_failure_threshold: int = 2,
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alert_retry_scheduled_threshold: int = 3,
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) -> RunExecutionSummary:
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lock_acquired = await self._try_acquire_user_lock(
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db_session,
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@ -161,6 +191,9 @@ class ScholarIngestionService:
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"max_pages_per_scholar": max_pages_per_scholar,
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"page_size": page_size,
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"idempotency_key": idempotency_key,
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"alert_blocked_failure_threshold": alert_blocked_failure_threshold,
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"alert_network_failure_threshold": alert_network_failure_threshold,
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"alert_retry_scheduled_threshold": alert_retry_scheduled_threshold,
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},
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)
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@ -416,17 +449,87 @@ class ScholarIngestionService:
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failed_state_counts: dict[str, int] = {}
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failed_reason_counts: dict[str, int] = {}
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scrape_failure_counts: dict[str, int] = {}
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retries_scheduled_count = 0
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scholars_with_retries_count = 0
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retry_exhausted_count = 0
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for entry in scholar_results:
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if str(entry.get("outcome", "")) != "failed":
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attempt_count = max(0, _int_or_default(entry.get("attempt_count"), 0))
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retries_for_entry = max(0, attempt_count - 1)
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if retries_for_entry > 0:
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retries_scheduled_count += retries_for_entry
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scholars_with_retries_count += 1
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outcome = str(entry.get("outcome", ""))
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if outcome != "failed":
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continue
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state = str(entry.get("state", ""))
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state = str(entry.get("state", "")).strip()
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if state not in FAILED_STATES:
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continue
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failed_state_counts[state] = failed_state_counts.get(state, 0) + 1
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reason = str(entry.get("state_reason", "")).strip()
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if reason:
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failed_reason_counts[reason] = failed_reason_counts.get(reason, 0) + 1
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failure_bucket = _classify_failure_bucket(state=state, state_reason=reason)
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scrape_failure_counts[failure_bucket] = (
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scrape_failure_counts.get(failure_bucket, 0) + 1
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)
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if (
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state == ParseState.NETWORK_ERROR.value
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and retries_for_entry > 0
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):
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retry_exhausted_count += 1
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blocked_failure_count = int(scrape_failure_counts.get(FAILURE_BUCKET_BLOCKED, 0))
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network_failure_count = int(scrape_failure_counts.get(FAILURE_BUCKET_NETWORK, 0))
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bounded_blocked_threshold = max(1, int(alert_blocked_failure_threshold))
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bounded_network_threshold = max(1, int(alert_network_failure_threshold))
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bounded_retry_threshold = max(1, int(alert_retry_scheduled_threshold))
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alert_flags = {
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"blocked_failure_threshold_exceeded": blocked_failure_count >= bounded_blocked_threshold,
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"network_failure_threshold_exceeded": network_failure_count >= bounded_network_threshold,
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"retry_scheduled_threshold_exceeded": retries_scheduled_count >= bounded_retry_threshold,
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}
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if alert_flags["blocked_failure_threshold_exceeded"]:
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logger.warning(
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"ingestion.alert_blocked_failure_threshold_exceeded",
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extra={
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"event": "ingestion.alert_blocked_failure_threshold_exceeded",
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"user_id": user_id,
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"crawl_run_id": run.id,
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"blocked_failure_count": blocked_failure_count,
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"threshold": bounded_blocked_threshold,
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},
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)
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if alert_flags["network_failure_threshold_exceeded"]:
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logger.warning(
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"ingestion.alert_network_failure_threshold_exceeded",
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extra={
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"event": "ingestion.alert_network_failure_threshold_exceeded",
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"user_id": user_id,
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"crawl_run_id": run.id,
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"network_failure_count": network_failure_count,
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"threshold": bounded_network_threshold,
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},
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)
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if alert_flags["retry_scheduled_threshold_exceeded"]:
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logger.warning(
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"ingestion.alert_retry_scheduled_threshold_exceeded",
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extra={
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"event": "ingestion.alert_retry_scheduled_threshold_exceeded",
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"user_id": user_id,
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"crawl_run_id": run.id,
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"retries_scheduled_count": retries_scheduled_count,
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"threshold": bounded_retry_threshold,
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},
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)
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run.end_dt = datetime.now(timezone.utc)
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run.status = self._resolve_run_status(
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scholar_count=len(scholars),
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@ -442,6 +545,18 @@ class ScholarIngestionService:
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"partial_count": partial_count,
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"failed_state_counts": failed_state_counts,
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"failed_reason_counts": failed_reason_counts,
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"scrape_failure_counts": scrape_failure_counts,
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"retry_counts": {
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"retries_scheduled_count": retries_scheduled_count,
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"scholars_with_retries_count": scholars_with_retries_count,
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"retry_exhausted_count": retry_exhausted_count,
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},
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"alert_thresholds": {
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"blocked_failure_threshold": bounded_blocked_threshold,
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"network_failure_threshold": bounded_network_threshold,
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"retry_scheduled_threshold": bounded_retry_threshold,
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},
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"alert_flags": alert_flags,
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},
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"meta": {
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"idempotency_key": idempotency_key,
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@ -463,6 +578,10 @@ class ScholarIngestionService:
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"failed_count": failed_count,
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"partial_count": partial_count,
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"new_publication_count": run.new_pub_count,
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"blocked_failure_count": blocked_failure_count,
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"network_failure_count": network_failure_count,
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"retries_scheduled_count": retries_scheduled_count,
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"alert_flags": alert_flags,
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},
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)
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@ -67,26 +67,65 @@ def _summary_dict(error_log: object) -> dict[str, Any]:
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return summary
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def _summary_int_dict(summary: dict[str, Any], key: str) -> dict[str, int]:
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value = summary.get(key)
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if not isinstance(value, dict):
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return {}
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return {
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str(item_key): _safe_int(item_value, 0)
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for item_key, item_value in value.items()
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if isinstance(item_key, str)
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}
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def _summary_bool_dict(summary: dict[str, Any], key: str) -> dict[str, bool]:
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value = summary.get(key)
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if not isinstance(value, dict):
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return {}
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return {
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str(item_key): bool(item_value)
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for item_key, item_value in value.items()
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if isinstance(item_key, str)
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}
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def extract_run_summary(error_log: object) -> dict[str, Any]:
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summary = _summary_dict(error_log)
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return {
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"succeeded_count": _safe_int(summary.get("succeeded_count", 0)),
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"failed_count": _safe_int(summary.get("failed_count", 0)),
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"partial_count": _safe_int(summary.get("partial_count", 0)),
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"failed_state_counts": {
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str(key): _safe_int(value, 0)
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for key, value in summary.get("failed_state_counts", {}).items()
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if isinstance(key, str)
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}
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if isinstance(summary.get("failed_state_counts"), dict)
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else {},
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"failed_reason_counts": {
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str(key): _safe_int(value, 0)
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for key, value in summary.get("failed_reason_counts", {}).items()
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if isinstance(key, str)
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}
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if isinstance(summary.get("failed_reason_counts"), dict)
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else {},
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"failed_state_counts": _summary_int_dict(summary, "failed_state_counts"),
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"failed_reason_counts": _summary_int_dict(summary, "failed_reason_counts"),
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"scrape_failure_counts": _summary_int_dict(summary, "scrape_failure_counts"),
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"retry_counts": {
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"retries_scheduled_count": _safe_int(
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(
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summary.get("retry_counts", {}).get("retries_scheduled_count")
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if isinstance(summary.get("retry_counts"), dict)
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else 0
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),
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0,
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),
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"scholars_with_retries_count": _safe_int(
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(
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summary.get("retry_counts", {}).get("scholars_with_retries_count")
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if isinstance(summary.get("retry_counts"), dict)
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else 0
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),
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0,
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),
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"retry_exhausted_count": _safe_int(
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(
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summary.get("retry_counts", {}).get("retry_exhausted_count")
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if isinstance(summary.get("retry_counts"), dict)
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else 0
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),
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0,
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),
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},
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"alert_thresholds": _summary_int_dict(summary, "alert_thresholds"),
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"alert_flags": _summary_bool_dict(summary, "alert_flags"),
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}
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@ -20,6 +20,7 @@ from app.db.session import get_session_factory
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from app.services import continuation_queue as queue_service
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from app.services.ingestion import RunAlreadyInProgressError, ScholarIngestionService
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from app.services.scholar_source import LiveScholarSource
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from app.settings import settings
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logger = logging.getLogger(__name__)
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@ -195,6 +196,9 @@ class SchedulerService:
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page_size=self._page_size,
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auto_queue_continuations=self._continuation_queue_enabled,
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queue_delay_seconds=self._continuation_base_delay_seconds,
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alert_blocked_failure_threshold=settings.ingestion_alert_blocked_failure_threshold,
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alert_network_failure_threshold=settings.ingestion_alert_network_failure_threshold,
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alert_retry_scheduled_threshold=settings.ingestion_alert_retry_scheduled_threshold,
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)
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except RunAlreadyInProgressError:
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await session.rollback()
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@ -326,6 +330,9 @@ class SchedulerService:
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},
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auto_queue_continuations=self._continuation_queue_enabled,
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queue_delay_seconds=self._continuation_base_delay_seconds,
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alert_blocked_failure_threshold=settings.ingestion_alert_blocked_failure_threshold,
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alert_network_failure_threshold=settings.ingestion_alert_network_failure_threshold,
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alert_retry_scheduled_threshold=settings.ingestion_alert_retry_scheduled_threshold,
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)
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except RunAlreadyInProgressError:
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await session.rollback()
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@ -38,6 +38,8 @@ DEFAULT_AUTHOR_SEARCH_COOLDOWN_BLOCK_THRESHOLD = 1
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DEFAULT_AUTHOR_SEARCH_COOLDOWN_SECONDS = 1800
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DEFAULT_AUTHOR_SEARCH_MIN_INTERVAL_SECONDS = 3.0
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DEFAULT_AUTHOR_SEARCH_INTERVAL_JITTER_SECONDS = 1.0
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DEFAULT_AUTHOR_SEARCH_RETRY_ALERT_THRESHOLD = 2
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DEFAULT_AUTHOR_SEARCH_COOLDOWN_REJECTION_ALERT_THRESHOLD = 3
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ALLOWED_IMAGE_UPLOAD_CONTENT_TYPES = {
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"image/jpeg": ".jpg",
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"image/png": ".png",
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@ -101,6 +103,8 @@ _AUTHOR_SEARCH_CACHE: OrderedDict[str, _AuthorSearchCacheEntry] = OrderedDict()
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_AUTHOR_SEARCH_LAST_LIVE_REQUEST_MONOTONIC = 0.0
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_AUTHOR_SEARCH_COOLDOWN_UNTIL_UTC: datetime | None = None
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_AUTHOR_SEARCH_CONSECUTIVE_BLOCKED_COUNT = 0
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_AUTHOR_SEARCH_COOLDOWN_REJECTION_COUNT = 0
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_AUTHOR_SEARCH_COOLDOWN_ALERT_EMITTED = False
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class ScholarServiceError(ValueError):
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@ -281,10 +285,14 @@ def _reset_author_search_runtime_state_for_tests() -> None:
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global _AUTHOR_SEARCH_LAST_LIVE_REQUEST_MONOTONIC
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global _AUTHOR_SEARCH_COOLDOWN_UNTIL_UTC
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global _AUTHOR_SEARCH_CONSECUTIVE_BLOCKED_COUNT
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global _AUTHOR_SEARCH_COOLDOWN_REJECTION_COUNT
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global _AUTHOR_SEARCH_COOLDOWN_ALERT_EMITTED
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_AUTHOR_SEARCH_CACHE.clear()
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_AUTHOR_SEARCH_LAST_LIVE_REQUEST_MONOTONIC = 0.0
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_AUTHOR_SEARCH_COOLDOWN_UNTIL_UTC = None
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_AUTHOR_SEARCH_CONSECUTIVE_BLOCKED_COUNT = 0
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_AUTHOR_SEARCH_COOLDOWN_REJECTION_COUNT = 0
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_AUTHOR_SEARCH_COOLDOWN_ALERT_EMITTED = False
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async def list_scholars_for_user(
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@ -379,10 +387,14 @@ async def search_author_candidates(
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interval_jitter_seconds: float = DEFAULT_AUTHOR_SEARCH_INTERVAL_JITTER_SECONDS,
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cooldown_block_threshold: int = DEFAULT_AUTHOR_SEARCH_COOLDOWN_BLOCK_THRESHOLD,
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cooldown_seconds: int = DEFAULT_AUTHOR_SEARCH_COOLDOWN_SECONDS,
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retry_alert_threshold: int = DEFAULT_AUTHOR_SEARCH_RETRY_ALERT_THRESHOLD,
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cooldown_rejection_alert_threshold: int = DEFAULT_AUTHOR_SEARCH_COOLDOWN_REJECTION_ALERT_THRESHOLD,
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) -> ParsedAuthorSearchPage:
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global _AUTHOR_SEARCH_LAST_LIVE_REQUEST_MONOTONIC
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global _AUTHOR_SEARCH_COOLDOWN_UNTIL_UTC
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global _AUTHOR_SEARCH_CONSECUTIVE_BLOCKED_COUNT
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global _AUTHOR_SEARCH_COOLDOWN_REJECTION_COUNT
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global _AUTHOR_SEARCH_COOLDOWN_ALERT_EMITTED
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normalized_query = query.strip()
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if len(normalized_query) < 2:
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@ -408,8 +420,47 @@ async def search_author_candidates(
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now_utc = datetime.now(timezone.utc)
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now_monotonic = time.monotonic()
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if (
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_AUTHOR_SEARCH_COOLDOWN_UNTIL_UTC is not None
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and now_utc >= _AUTHOR_SEARCH_COOLDOWN_UNTIL_UTC
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):
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logger.info(
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"scholar_search.cooldown_expired",
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extra={
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"event": "scholar_search.cooldown_expired",
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"cooldown_until_utc": _AUTHOR_SEARCH_COOLDOWN_UNTIL_UTC.isoformat(),
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},
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)
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_AUTHOR_SEARCH_COOLDOWN_UNTIL_UTC = None
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_AUTHOR_SEARCH_COOLDOWN_REJECTION_COUNT = 0
|
||||
_AUTHOR_SEARCH_COOLDOWN_ALERT_EMITTED = False
|
||||
|
||||
cooldown_remaining_seconds = _author_search_cooldown_remaining_seconds(now_utc)
|
||||
if cooldown_remaining_seconds > 0:
|
||||
_AUTHOR_SEARCH_COOLDOWN_REJECTION_COUNT += 1
|
||||
bounded_cooldown_rejection_alert_threshold = max(
|
||||
1,
|
||||
int(cooldown_rejection_alert_threshold),
|
||||
)
|
||||
if (
|
||||
_AUTHOR_SEARCH_COOLDOWN_REJECTION_COUNT
|
||||
>= bounded_cooldown_rejection_alert_threshold
|
||||
and not _AUTHOR_SEARCH_COOLDOWN_ALERT_EMITTED
|
||||
):
|
||||
logger.error(
|
||||
"scholar_search.cooldown_rejection_threshold_exceeded",
|
||||
extra={
|
||||
"event": "scholar_search.cooldown_rejection_threshold_exceeded",
|
||||
"query": normalized_query,
|
||||
"cooldown_rejection_count": _AUTHOR_SEARCH_COOLDOWN_REJECTION_COUNT,
|
||||
"threshold": bounded_cooldown_rejection_alert_threshold,
|
||||
"cooldown_until_utc": _AUTHOR_SEARCH_COOLDOWN_UNTIL_UTC.isoformat()
|
||||
if _AUTHOR_SEARCH_COOLDOWN_UNTIL_UTC
|
||||
else None,
|
||||
},
|
||||
)
|
||||
_AUTHOR_SEARCH_COOLDOWN_ALERT_EMITTED = True
|
||||
|
||||
logger.warning(
|
||||
"scholar_search.cooldown_active",
|
||||
extra={
|
||||
|
|
@ -421,12 +472,15 @@ async def search_author_candidates(
|
|||
else None,
|
||||
},
|
||||
)
|
||||
warning_codes = [
|
||||
"author_search_cooldown_active",
|
||||
f"author_search_cooldown_remaining_{cooldown_remaining_seconds}s",
|
||||
]
|
||||
if _AUTHOR_SEARCH_COOLDOWN_ALERT_EMITTED:
|
||||
warning_codes.append("author_search_cooldown_alert_threshold_exceeded")
|
||||
return _policy_blocked_author_search_result(
|
||||
reason=SEARCH_COOLDOWN_REASON,
|
||||
warning_codes=[
|
||||
"author_search_cooldown_active",
|
||||
f"author_search_cooldown_remaining_{cooldown_remaining_seconds}s",
|
||||
],
|
||||
warning_codes=warning_codes,
|
||||
limit=bounded_limit,
|
||||
)
|
||||
|
||||
|
|
@ -472,6 +526,7 @@ async def search_author_candidates(
|
|||
max_attempts = max(1, int(network_error_retries) + 1)
|
||||
parsed: ParsedAuthorSearchPage | None = None
|
||||
retry_warnings: list[str] = []
|
||||
retry_scheduled_count = 0
|
||||
|
||||
for attempt_index in range(max_attempts):
|
||||
fetch_result = await source.fetch_author_search_html(normalized_query, start=0)
|
||||
|
|
@ -480,6 +535,7 @@ async def search_author_candidates(
|
|||
break
|
||||
|
||||
retry_warnings.append("network_retry_scheduled_for_author_search")
|
||||
retry_scheduled_count += 1
|
||||
sleep_seconds = max(float(retry_backoff_seconds), 0.0) * (2**attempt_index)
|
||||
if sleep_seconds > 0:
|
||||
await asyncio.sleep(sleep_seconds)
|
||||
|
|
@ -494,6 +550,27 @@ async def search_author_candidates(
|
|||
warnings=_merge_warnings(parsed.warnings, retry_warnings),
|
||||
)
|
||||
|
||||
bounded_retry_alert_threshold = max(1, int(retry_alert_threshold))
|
||||
if retry_scheduled_count >= bounded_retry_alert_threshold:
|
||||
logger.warning(
|
||||
"scholar_search.retry_threshold_exceeded",
|
||||
extra={
|
||||
"event": "scholar_search.retry_threshold_exceeded",
|
||||
"query": normalized_query,
|
||||
"retry_scheduled_count": retry_scheduled_count,
|
||||
"threshold": bounded_retry_alert_threshold,
|
||||
"final_state": merged_parsed.state.value,
|
||||
"final_state_reason": merged_parsed.state_reason,
|
||||
},
|
||||
)
|
||||
merged_parsed = replace(
|
||||
merged_parsed,
|
||||
warnings=_merge_warnings(
|
||||
merged_parsed.warnings,
|
||||
[f"author_search_retry_threshold_exceeded_{retry_scheduled_count}"],
|
||||
),
|
||||
)
|
||||
|
||||
if _is_author_search_block_state(merged_parsed):
|
||||
_AUTHOR_SEARCH_CONSECUTIVE_BLOCKED_COUNT += 1
|
||||
logger.warning(
|
||||
|
|
@ -510,6 +587,8 @@ async def search_author_candidates(
|
|||
seconds=max(60, int(cooldown_seconds))
|
||||
)
|
||||
_AUTHOR_SEARCH_CONSECUTIVE_BLOCKED_COUNT = 0
|
||||
_AUTHOR_SEARCH_COOLDOWN_REJECTION_COUNT = 0
|
||||
_AUTHOR_SEARCH_COOLDOWN_ALERT_EMITTED = False
|
||||
merged_parsed = replace(
|
||||
merged_parsed,
|
||||
warnings=_merge_warnings(
|
||||
|
|
|
|||
|
|
@ -62,6 +62,18 @@ class Settings:
|
|||
30,
|
||||
)
|
||||
ingestion_page_size: int = _env_int("INGESTION_PAGE_SIZE", 100)
|
||||
ingestion_alert_blocked_failure_threshold: int = _env_int(
|
||||
"INGESTION_ALERT_BLOCKED_FAILURE_THRESHOLD",
|
||||
1,
|
||||
)
|
||||
ingestion_alert_network_failure_threshold: int = _env_int(
|
||||
"INGESTION_ALERT_NETWORK_FAILURE_THRESHOLD",
|
||||
2,
|
||||
)
|
||||
ingestion_alert_retry_scheduled_threshold: int = _env_int(
|
||||
"INGESTION_ALERT_RETRY_SCHEDULED_THRESHOLD",
|
||||
3,
|
||||
)
|
||||
ingestion_continuation_queue_enabled: bool = _env_bool(
|
||||
"INGESTION_CONTINUATION_QUEUE_ENABLED",
|
||||
True,
|
||||
|
|
@ -118,6 +130,14 @@ class Settings:
|
|||
"SCHOLAR_NAME_SEARCH_COOLDOWN_SECONDS",
|
||||
1800,
|
||||
)
|
||||
scholar_name_search_alert_retry_count_threshold: int = _env_int(
|
||||
"SCHOLAR_NAME_SEARCH_ALERT_RETRY_COUNT_THRESHOLD",
|
||||
2,
|
||||
)
|
||||
scholar_name_search_alert_cooldown_rejections_threshold: int = _env_int(
|
||||
"SCHOLAR_NAME_SEARCH_ALERT_COOLDOWN_REJECTIONS_THRESHOLD",
|
||||
3,
|
||||
)
|
||||
|
||||
|
||||
settings = Settings()
|
||||
|
|
|
|||
Loading…
Add table
Add a link
Reference in a new issue