Transient HubSpot failures are retried under the shared rate-limit policy 🟩

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
This commit is contained in:
Daniel Roth 2026-07-06 13:38:20 +00:00
parent 8d684c57c7
commit 8d9fb0ade4
3 changed files with 73 additions and 50 deletions

View file

@ -6,6 +6,7 @@ from hubspot.crm.associations.v4 import AssociationSpec # type: ignore[reportMi
from hubspot.crm.contacts import SimplePublicObjectInputForCreate # type: ignore[reportMissingTypeStubs]
from etl.hubspot.errors import HubspotRequestError
from etl.hubspot.retry import call_with_retry
# HubSpot-defined deal -> contact association ("deal_to_contact" in v3 terms).
DEAL_TO_CONTACT_ASSOCIATION_TYPE_ID = 3
@ -49,9 +50,11 @@ class HubspotDealContactsClient:
def create_contact(self, properties: Dict[str, str]) -> str:
try:
contact = self._client.crm.contacts.basic_api.create( # type: ignore[reportUnknownMemberType]
simple_public_object_input_for_create=SimplePublicObjectInputForCreate(
properties=properties
contact = call_with_retry(
lambda: self._client.crm.contacts.basic_api.create( # type: ignore[reportUnknownMemberType]
simple_public_object_input_for_create=SimplePublicObjectInputForCreate(
properties=properties
)
)
)
except Exception as error:
@ -61,17 +64,19 @@ class HubspotDealContactsClient:
def associate_contact_to_deal(self, deal_id: str, contact_id: str) -> None:
try:
self._client.crm.associations.v4.basic_api.create( # type: ignore[reportUnknownMemberType]
object_type="deals",
object_id=deal_id,
to_object_type="contacts",
to_object_id=contact_id,
association_spec=[
AssociationSpec(
association_category="HUBSPOT_DEFINED",
association_type_id=DEAL_TO_CONTACT_ASSOCIATION_TYPE_ID,
)
],
call_with_retry(
lambda: self._client.crm.associations.v4.basic_api.create( # type: ignore[reportUnknownMemberType]
object_type="deals",
object_id=deal_id,
to_object_type="contacts",
to_object_id=contact_id,
association_spec=[
AssociationSpec(
association_category="HUBSPOT_DEFINED",
association_type_id=DEAL_TO_CONTACT_ASSOCIATION_TYPE_ID,
)
],
)
)
except Exception as error:
raise _scrubbed(error) from None

View file

@ -1,7 +1,5 @@
import os
import time
from enum import Enum
from http import HTTPStatus
from typing import Optional, cast, Callable, Any
from hubspot.client import Client # type: ignore[reportMissingTypeStubs]
@ -32,6 +30,7 @@ from hubspot.crm.associations.v4.models import ( # type: ignore[reportMissingTy
from backend.app.config import get_settings
from etl.hubspot.company_data import CompanyData
from etl.hubspot.project_data import ProjectData
from etl.hubspot.retry import call_with_retry
from utils.logger import setup_logger
import mimetypes
@ -87,40 +86,8 @@ class HubspotClient:
# self.client
def _call_with_retry(self, fn: Callable[[], Any], max_retries: int = 2) -> Any:
"""
Call fn(), retrying up to max_retries times on 429 rate-limit errors
or transient 5xx server errors.
Waits the minimal amount: the remaining interval window reported by HubSpot headers.
Falls back to the full interval (10s) if headers are absent.
Note: each HubSpot sub-module (deals, companies, etc.) ships its own ApiException
class with no shared base beyond Exception, so we detect retryable statuses via duck-typing.
"""
retryable_statuses = {
HTTPStatus.TOO_MANY_REQUESTS,
HTTPStatus.INTERNAL_SERVER_ERROR,
HTTPStatus.BAD_GATEWAY,
HTTPStatus.SERVICE_UNAVAILABLE,
HTTPStatus.GATEWAY_TIMEOUT,
}
for attempt in range(max_retries + 1):
try:
return fn()
except Exception as e:
status = getattr(e, "status", None)
if status not in retryable_statuses or attempt == max_retries:
raise
headers = getattr(e, "headers", None) or {}
interval_ms = int(
headers.get("x-hubspot-ratelimit-interval-milliseconds", 10000)
)
wait_s = interval_ms / 1000.0
self.logger.warning(
f"HubSpot {status} (attempt {attempt + 1}/{max_retries}), "
f"waiting {wait_s:.1f}s before retry."
)
time.sleep(wait_s)
raise RuntimeError("Unreachable") # pragma: no cover
"""Delegates to the shared etl.hubspot.retry policy."""
return call_with_retry(fn, max_retries=max_retries, logger=self.logger)
def get_deal_ids_from_company(self, company_id: str) -> list[str]:
associations_api: AssociationsBasicApi = ( # type: ignore[reportUnknownMemberType]

51
etl/hubspot/retry.py Normal file
View file

@ -0,0 +1,51 @@
import time
from http import HTTPStatus
from logging import Logger
from typing import Callable, Optional, TypeVar
from utils.logger import setup_logger
T = TypeVar("T")
RETRYABLE_STATUSES = {
HTTPStatus.TOO_MANY_REQUESTS,
HTTPStatus.INTERNAL_SERVER_ERROR,
HTTPStatus.BAD_GATEWAY,
HTTPStatus.SERVICE_UNAVAILABLE,
HTTPStatus.GATEWAY_TIMEOUT,
}
def call_with_retry(
fn: Callable[[], T],
max_retries: int = 2,
logger: Optional[Logger] = None,
) -> T:
"""
Call fn(), retrying up to max_retries times on 429 rate-limit errors
or transient 5xx server errors.
Waits the minimal amount: the remaining interval window reported by HubSpot headers.
Falls back to the full interval (10s) if headers are absent.
Note: each HubSpot sub-module (deals, companies, etc.) ships its own ApiException
class with no shared base beyond Exception, so we detect retryable statuses via duck-typing.
"""
logger = logger or setup_logger()
for attempt in range(max_retries + 1):
try:
return fn()
except Exception as e:
status = getattr(e, "status", None)
if status not in RETRYABLE_STATUSES or attempt == max_retries:
raise
headers = getattr(e, "headers", None) or {}
interval_ms = int(
headers.get("x-hubspot-ratelimit-interval-milliseconds", 10000)
)
wait_s = interval_ms / 1000.0
logger.warning(
f"HubSpot {status} (attempt {attempt + 1}/{max_retries}), "
f"waiting {wait_s:.1f}s before retry."
)
time.sleep(wait_s)
raise RuntimeError("Unreachable") # pragma: no cover