Source code for britecore_sdk.api.workflows.batch_contacts

"""Sync batch workflow helpers for contact creation.

This module houses higher-level orchestration for bulk contact creation.
Endpoint wrappers for individual contact calls live in
``britecore_sdk.api.api_calls.v2.contacts``.
"""

from concurrent.futures import Future, ThreadPoolExecutor, as_completed
from typing import Any, TypedDict

from britecore_sdk import BritecoreError
from britecore_sdk.api.api_calls.v2.contacts import new_contact


[docs] class BatchContactCreateResult(TypedDict): """Per-item outcome for ``create_contacts_batch``.""" index: int success: bool contact_data: dict[str, Any] | None contact_id: str | None error: str | None
[docs] def create_contacts_batch( contacts_json: list[dict[str, Any]], max_workers: int = 5, fail_fast: bool = False, **kwargs: Any, ) -> dict[str, Any]: """Create many contacts concurrently and return per-item outcomes. This helper runs ``new_contact(...)`` in a bounded thread pool so high-volume contact creation jobs complete much faster than fully serial execution. Each payload dict must include ``name`` and ``address`` keys (matching ``new_contact`` parameters). Args: contacts_json: List of contact payload dicts. Each dict must contain at minimum ``name`` (str) and ``address`` (list[dict]). Optional keys ``phone``, ``email``, and ``contact_type`` are forwarded if present. max_workers: Maximum concurrent workers. Defaults to ``5``. fail_fast: When ``True``, re-raises the first encountered exception and cancels pending futures. Defaults to ``False``. **kwargs: ``RequestParameters`` passed through to each contact create call. Returns: dict[str, Any]: - ``total``: total submitted payload count - ``succeeded``: number of successful creates - ``failed``: number of failed creates - ``results``: list[BatchContactCreateResult] ordered by input index Raises: BritecoreError.MissingParameter: If ``contacts_json`` is missing/empty. ValueError: If ``max_workers`` is less than 1. Exception: First worker exception when ``fail_fast=True``. """ if not contacts_json or not isinstance(contacts_json, list): raise BritecoreError.MissingParameter( "contacts_json is required and must be a non-empty list" ) if max_workers < 1: raise ValueError("max_workers must be at least 1") worker_count = min(max_workers, len(contacts_json)) results: list[BatchContactCreateResult | None] = [None] * len(contacts_json) def _create_one(index: int, payload: dict[str, Any]) -> tuple[int, Any, str | None]: contact_data, contact_id = new_contact( name=payload["name"], address=payload["address"], phone=payload.get("phone"), email=payload.get("email"), contact_type=payload.get("contact_type", "individual"), **kwargs, ) return index, contact_data, contact_id with ThreadPoolExecutor(max_workers=worker_count) as executor: future_map: dict[Future[tuple[int, Any, str | None]], int] = { executor.submit(_create_one, idx, payload): idx for idx, payload in enumerate(contacts_json) } for future in as_completed(future_map): idx = future_map[future] try: result_idx, contact_data, contact_id = future.result() results[result_idx] = { "index": result_idx, "success": True, "contact_data": contact_data, "contact_id": contact_id, "error": None, } except Exception as exc: if fail_fast: for pending in future_map: pending.cancel() raise results[idx] = { "index": idx, "success": False, "contact_data": None, "contact_id": None, "error": str(exc), } finalized_results = [item for item in results if item is not None] succeeded = sum(1 for item in finalized_results if item["success"]) failed = len(finalized_results) - succeeded return { "total": len(contacts_json), "succeeded": succeeded, "failed": failed, "results": finalized_results, }
__all__ = ["BatchContactCreateResult", "create_contacts_batch"]