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async def push_data(self, data: dict | list[dict]) -> None: + @overload + async def push_data(self, data: dict | list[dict]) -> None: ... + @overload + async def push_data(self, data: dict | list[dict], charged_event_name: str) -> ChargeResult: ... + async def push_data(self, data: dict | list[dict], charged_event_name: str | None = None) -> ChargeResult | None: """Store an object or a list of objects to the default dataset of the current Actor run. Args: data: The data to push to the default dataset. + charged_event_name: If provided and if the Actor uses the pay-per-event pricing model, + the method will attempt to charge for the event for each pushed item. """ self._raise_if_not_initialized() if not data: - return + return None + + data = data if isinstance(data, list) else [data] + + max_charged_count = ( + self._charging_manager.calculate_max_event_charge_count_within_limit(charged_event_name) + if charged_event_name is not None + else None + ) dataset = await self.open_dataset() - await dataset.push_data(data) + + if max_charged_count is not None and len(data) > max_charged_count: + # Push as many items as we can charge for + await dataset.push_data(data[:max_charged_count]) + else: + await dataset.push_data(data) + + if charged_event_name: + return await self._charging_manager.charge( + event_name=charged_event_name, + count=min(max_charged_count, len(data)) if max_charged_count is not None else len(data), + ) + + return None async def get_input(self) -> Any: """Get the Actor input value from the default key-value store associated with the current Actor run.""" @@ -513,6 +548,23 @@ async def set_value( key_value_store = await self.open_key_value_store() return await key_value_store.set_value(key, value, content_type=content_type) + def get_charging_manager(self) -> ChargingManager: + """Retrieve the charging manager to access granular pricing information.""" + self._raise_if_not_initialized() + return self._charging_manager + + async def charge(self, event_name: str, count: int = 1) -> ChargeResult: + """Charge for a specified number of events - sub-operations of the Actor. + + This is relevant only for the pay-per-event pricing model. + + Args: + event_name: Name of the event to be charged for. + count: Number of events to charge for. + """ + self._raise_if_not_initialized() + return await self._charging_manager.charge(event_name, count) + @overload def on( self, event_name: Literal[Event.PERSIST_STATE], listener: EventListener[EventPersistStateData] diff --git a/src/apify/_charging.py b/src/apify/_charging.py new file mode 100644 index 00000000..2fb9dae5 --- /dev/null +++ b/src/apify/_charging.py @@ -0,0 +1,318 @@ +from __future__ import annotations + +import math +from dataclasses import dataclass +from datetime import datetime, timezone +from decimal import Decimal +from typing import TYPE_CHECKING, Protocol, Union + +from pydantic import TypeAdapter + +from apify_shared.utils import ignore_docs +from crawlee._utils.context import ensure_context + +from apify._models import ActorRun, PricingModel +from apify._utils import docs_group +from apify.log import logger +from apify.storages import Dataset + +if TYPE_CHECKING: + from types import TracebackType + + from apify_client import ApifyClientAsync + + from apify._configuration import Configuration + + +run_validator: TypeAdapter[ActorRun | None] = TypeAdapter(Union[ActorRun, None]) + + +@docs_group('Interfaces') +class ChargingManager(Protocol): + """Provides fine-grained access to pay-per-event functionality.""" + + async def charge(self, event_name: str, count: int = 1) -> ChargeResult: + """Charge for a specified number of events - sub-operations of the Actor. + + This is relevant only for the pay-per-event pricing model. + + Args: + event_name: Name of the event to be charged for. + count: Number of events to charge for. + """ + + def calculate_total_charged_amount(self) -> Decimal: + """Calculate the total amount of money charged for pay-per-event events so far.""" + + def calculate_max_event_charge_count_within_limit(self, event_name: str) -> int | None: + """Calculate how many instances of an event can be charged before we reach the configured limit. + + Args: + event_name: Name of the inspected event. + """ + + def get_pricing_info(self) -> ActorPricingInfo: + """Retrieve detailed information about the effective pricing of the current Actor run. + + This can be used for instance when your code needs to support multiple pricing models in transition periods. + """ + + +@docs_group('Data structures') +@dataclass(frozen=True) +class ChargeResult: + """Result of the `ChargingManager.charge` method.""" + + event_charge_limit_reached: bool + """If true, no more events of this type can be charged within the limit.""" + + charged_count: int + """Total amount of charged events - may be lower than the requested amount.""" + + chargeable_within_limit: dict[str, int | None] + """How many events of each known type can still be charged within the limit.""" + + +@docs_group('Data structures') +@dataclass +class ActorPricingInfo: + """Result of the `ChargingManager.get_pricing_info` method.""" + + pricing_model: PricingModel | None + """The currently effective pricing model.""" + + max_total_charge_usd: Decimal + """A configured limit for the total charged amount - if you exceed it, you won't receive more money than this.""" + + is_pay_per_event: bool + """A shortcut - true if the Actor runs with the pay-per-event pricing model.""" + + per_event_prices: dict[str, Decimal] + """Price of every known event type.""" + + +@ignore_docs +class ChargingManagerImplementation(ChargingManager): + """Implementation of the `ChargingManager` Protocol - this is only meant to be instantiated internally.""" + + LOCAL_CHARGING_LOG_DATASET_NAME = 'charging_log' + + def __init__(self, configuration: Configuration, client: ApifyClientAsync) -> None: + self._max_total_charge_usd = configuration.max_total_charge_usd or Decimal('inf') + self._is_at_home = configuration.is_at_home + self._actor_run_id = configuration.actor_run_id + self._purge_charging_log_dataset = configuration.purge_on_start + self._pricing_model: PricingModel | None = None + + if configuration.test_pay_per_event: + if self._is_at_home: + raise ValueError( + 'Using the ACTOR_TEST_PAY_PER_EVENT environment variable is only supported ' + 'in a local development environment' + ) + + self._pricing_model = 'PAY_PER_EVENT' + + self._client = client + self._charging_log_dataset: Dataset | None = None + + self._charging_state: dict[str, ChargingStateItem] = {} + self._pricing_info: dict[str, PricingInfoItem] = {} + + self._not_ppe_warning_printed = False + self.active = False + + async def __aenter__(self) -> None: + """Initialize the charging manager - this is called by the `Actor` class and shouldn't be invoked manually.""" + self.active = True + + if self._is_at_home: + # Running on the Apify platform - fetch pricing info for the current run. + + if self._actor_run_id is None: + raise RuntimeError('Actor run ID not found even though the Actor is running on Apify') + + run = run_validator.validate_python(await self._client.run(self._actor_run_id).get()) + if run is None: + raise RuntimeError('Actor run not found') + + if run.pricing_info is not None: + self._pricing_model = run.pricing_info.pricing_model + + if run.pricing_info.pricing_model == 'PAY_PER_EVENT': + for event_name, event_pricing in run.pricing_info.pricing_per_event.actor_charge_events.items(): + self._pricing_info[event_name] = PricingInfoItem( + price=event_pricing.event_price_usd, + title=event_pricing.event_title, + ) + + self._max_total_charge_usd = run.options.max_total_charge_usd or self._max_total_charge_usd + + for event_name, count in (run.charged_event_counts or {}).items(): + price = self._pricing_info.get(event_name, PricingInfoItem(Decimal(), title='')).price + self._charging_state[event_name] = ChargingStateItem( + charge_count=count, + total_charged_amount=count * price, + ) + + if not self._is_at_home and self._pricing_model == 'PAY_PER_EVENT': + # We are not running on the Apify platform, but PPE is enabled for testing - open a dataset that + # will contain a log of all charge calls for debugging purposes. + + if self._purge_charging_log_dataset: + dataset = await Dataset.open(name=self.LOCAL_CHARGING_LOG_DATASET_NAME) + await dataset.drop() + + self._charging_log_dataset = await Dataset.open(name=self.LOCAL_CHARGING_LOG_DATASET_NAME) + + async def __aexit__( + self, + exc_type: type[BaseException] | None, + exc_value: BaseException | None, + exc_traceback: TracebackType | None, + ) -> None: + if not self.active: + raise RuntimeError('Exiting an uninitialized ChargingManager') + + self.active = False + + @ensure_context + async def charge(self, event_name: str, count: int = 1) -> ChargeResult: + def calculate_chargeable() -> dict[str, int | None]: + """Calculate the maximum number of events of each type that can be charged within the current budget.""" + return { + event_name: self.calculate_max_event_charge_count_within_limit(event_name) + for event_name in self._pricing_info + } + + # For runs that do not use the pay-per-event pricing model, just print a warning and return + if self._pricing_model != 'PAY_PER_EVENT': + if not self._not_ppe_warning_printed: + logger.warning( + 'Ignored attempt to charge for an event - the Actor does not use the pay-per-event pricing' + ) + self._not_ppe_warning_printed = True + + return ChargeResult( + event_charge_limit_reached=False, + charged_count=0, + chargeable_within_limit=calculate_chargeable(), + ) + + # START OF CRITICAL SECTION - no awaits here + + # Determine the maximum amount of events that can be charged within the budget + charged_count = min(count, self.calculate_max_event_charge_count_within_limit(event_name) or count) + + if charged_count == 0: + return ChargeResult( + event_charge_limit_reached=True, + charged_count=0, + chargeable_within_limit=calculate_chargeable(), + ) + + pricing_info = self._pricing_info.get( + event_name, + PricingInfoItem( + price=Decimal() + if self._is_at_home + else Decimal( + '1' + ), # Use a nonzero price for local development so that the maximum budget can be reached, + title=f"Unknown event '{event_name}'", + ), + ) + + # Update the charging state + self._charging_state.setdefault(event_name, ChargingStateItem(0, Decimal())) + self._charging_state[event_name].charge_count += charged_count + self._charging_state[event_name].total_charged_amount += charged_count * pricing_info.price + + # END OF CRITICAL SECTION + + # If running on the platform, call the charge endpoint + if self._is_at_home: + if self._actor_run_id is None: + raise RuntimeError('Actor run ID not configured') + + if event_name in self._pricing_info: + await self._client.run(self._actor_run_id).charge(event_name, charged_count) + else: + logger.warning(f"Attempting to charge for an unknown event '{event_name}'") + + # Log the charged operation (if enabled) + if self._charging_log_dataset: + await self._charging_log_dataset.push_data( + { + 'event_name': event_name, + 'event_title': pricing_info.title, + 'event_price_usd': round(pricing_info.price, 3), + 'charged_count': charged_count, + 'timestamp': datetime.now(timezone.utc).isoformat(), + } + ) + + # If it is not possible to charge the full amount, log that fact + if charged_count < count: + subject = 'instance' if count == 1 else 'instances' + logger.info( + f"Charging {count} ${subject} of '{event_name}' event would exceed max_total_charge_usd " + '- only {charged_count} events were charged' + ) + + max_charge_count = self.calculate_max_event_charge_count_within_limit(event_name) + + return ChargeResult( + event_charge_limit_reached=max_charge_count is not None and max_charge_count <= 0, + charged_count=charged_count, + chargeable_within_limit=calculate_chargeable(), + ) + + @ensure_context + def calculate_total_charged_amount(self) -> Decimal: + return sum( + (item.total_charged_amount for item in self._charging_state.values()), + start=Decimal(), + ) + + @ensure_context + def calculate_max_event_charge_count_within_limit(self, event_name: str) -> int | None: + pricing_info = self._pricing_info.get(event_name) + + if pricing_info is not None: + price = pricing_info.price + elif not self._is_at_home: + price = Decimal('1') # Use a nonzero price for local development so that the maximum budget can be reached + else: + price = Decimal() + + if not price: + return None + + result = (self._max_total_charge_usd - self.calculate_total_charged_amount()) / price + return math.floor(result) if result.is_finite() else None + + @ensure_context + def get_pricing_info(self) -> ActorPricingInfo: + return ActorPricingInfo( + pricing_model=self._pricing_model, + is_pay_per_event=self._pricing_model == 'PAY_PER_EVENT', + max_total_charge_usd=self._max_total_charge_usd + if self._max_total_charge_usd is not None + else Decimal('inf'), + per_event_prices={ + event_name: pricing_info.price for event_name, pricing_info in self._pricing_info.items() + }, + ) + + +@dataclass +class ChargingStateItem: + charge_count: int + total_charged_amount: Decimal + + +@dataclass +class PricingInfoItem: + price: Decimal + title: str diff --git a/src/apify/_configuration.py b/src/apify/_configuration.py index af15ade7..e3dec442 100644 --- a/src/apify/_configuration.py +++ b/src/apify/_configuration.py @@ -1,6 +1,7 @@ from __future__ import annotations from datetime import datetime, timedelta +from decimal import Decimal from logging import getLogger from typing import Annotated, Any @@ -212,7 +213,7 @@ class Configuration(CrawleeConfiguration): ] = None max_total_charge_usd: Annotated[ - float | None, + Decimal | None, Field( alias='actor_max_total_charge_usd', description='For pay-per-event Actors, the user-set limit on total charges. Do not exceed this limit', @@ -220,6 +221,14 @@ class Configuration(CrawleeConfiguration): BeforeValidator(lambda val: val or None), ] = None + test_pay_per_event: Annotated[ + bool, + Field( + alias='actor_test_pay_per_event', + description='Enable pay-per-event functionality for local development', + ), + ] = False + meta_origin: Annotated[ str | None, Field( diff --git a/src/apify/_models.py b/src/apify/_models.py index ed66bf2f..68dd4dac 100644 --- a/src/apify/_models.py +++ b/src/apify/_models.py @@ -1,7 +1,8 @@ from __future__ import annotations from datetime import datetime, timedelta -from typing import Annotated +from decimal import Decimal +from typing import TYPE_CHECKING, Annotated, Literal from pydantic import BaseModel, BeforeValidator, ConfigDict, Field @@ -11,6 +12,9 @@ from apify._utils import docs_group +if TYPE_CHECKING: + from typing_extensions import TypeAlias + @docs_group('Data structures') class Webhook(BaseModel): @@ -67,6 +71,7 @@ class ActorRunOptions(BaseModel): timeout: Annotated[timedelta, Field(alias='timeoutSecs')] memory_mbytes: Annotated[int, Field(alias='memoryMbytes')] disk_mbytes: Annotated[int, Field(alias='diskMbytes')] + max_total_charge_usd: Annotated[Decimal | None, Field(alias='maxTotalChargeUsd')] = None @docs_group('Data structures') @@ -115,3 +120,55 @@ class ActorRun(BaseModel): usage: Annotated[ActorRunUsage | None, Field(alias='usage')] = None usage_total_usd: Annotated[float | None, Field(alias='usageTotalUsd')] = None usage_usd: Annotated[ActorRunUsage | None, Field(alias='usageUsd')] = None + pricing_info: Annotated[ + FreeActorPricingInfo + | FlatPricePerMonthActorPricingInfo + | PricePerDatasetItemActorPricingInfo + | PayPerEventActorPricingInfo + | None, + Field(alias='pricingInfo', discriminator='pricing_model'), + ] = None + charged_event_counts: Annotated[ + dict[str, int] | None, + Field(alias='chargedEventCounts'), + ] = None + + +class FreeActorPricingInfo(BaseModel): + pricing_model: Annotated[Literal['FREE'], Field(alias='pricingModel')] + + +class FlatPricePerMonthActorPricingInfo(BaseModel): + pricing_model: Annotated[Literal['FLAT_PRICE_PER_MONTH'], Field(alias='pricingModel')] + trial_minutes: Annotated[int | None, Field(alias='trialMinutes')] = None + price_per_unit_usd: Annotated[Decimal, Field(alias='pricePerUnitUsd')] + + +class PricePerDatasetItemActorPricingInfo(BaseModel): + pricing_model: Annotated[Literal['PRICE_PER_DATASET_ITEM'], Field(alias='pricingModel')] + unit_name: Annotated[str | None, Field(alias='unitName')] = None + price_per_unit_usd: Annotated[Decimal, Field(alias='pricePerUnitUsd')] + + +class ActorChargeEvent(BaseModel): + event_price_usd: Annotated[Decimal, Field(alias='eventPriceUsd')] + event_title: Annotated[str, Field(alias='eventTitle')] + event_description: Annotated[str | None, Field(alias='eventDescription')] = None + + +class PricingPerEvent(BaseModel): + actor_charge_events: Annotated[dict[str, ActorChargeEvent], Field(alias='actorChargeEvents')] + + +class PayPerEventActorPricingInfo(BaseModel): + pricing_model: Annotated[Literal['PAY_PER_EVENT'], Field(alias='pricingModel')] + pricing_per_event: Annotated[PricingPerEvent, Field(alias='pricingPerEvent')] + minimal_max_total_charge_usd: Annotated[Decimal | None, Field(alias='minimalMaxTotalChargeUsd')] = None + + +PricingModel: TypeAlias = Literal[ + 'FREE', + 'FLAT_PRICE_PER_MONTH', + 'PRICE_PER_DATASET_ITEM', + 'PAY_PER_EVENT', +] diff --git a/src/apify/_utils.py b/src/apify/_utils.py index 0179c414..c671e2e5 100644 --- a/src/apify/_utils.py +++ b/src/apify/_utils.py @@ -27,7 +27,7 @@ def is_running_in_ipython() -> bool: return getattr(builtins, '__IPYTHON__', False) -GroupName = Literal['Classes', 'Abstract classes', 'Data structures', 'Errors', 'Functions'] +GroupName = Literal['Classes', 'Abstract classes', 'Interfaces', 'Data structures', 'Errors', 'Functions'] def docs_group(group_name: GroupName) -> Callable: # noqa: ARG001 diff --git a/tests/integration/conftest.py b/tests/integration/conftest.py index 96052805..1cd800f1 100644 --- a/tests/integration/conftest.py +++ b/tests/integration/conftest.py @@ -12,7 +12,7 @@ import pytest from filelock import FileLock -from apify_client import ApifyClientAsync +from apify_client import ApifyClient, ApifyClientAsync from apify_shared.consts import ActorJobStatus, ActorSourceType, ApifyEnvVars from crawlee import service_locator from crawlee.storages import _creation_management @@ -22,7 +22,8 @@ from apify._models import ActorRun if TYPE_CHECKING: - from collections.abc import AsyncIterator, Awaitable, Coroutine, Mapping + from collections.abc import Awaitable, Coroutine, Iterator, Mapping + from decimal import Decimal from apify_client.clients.resource_clients import ActorClientAsync @@ -94,21 +95,27 @@ def _isolate_test_environment(prepare_test_env: Callable[[], None]) -> None: prepare_test_env() +@pytest.fixture(scope='session') +def apify_token() -> str: + api_token = os.getenv(_TOKEN_ENV_VAR) + + if not api_token: + raise RuntimeError(f'{_TOKEN_ENV_VAR} environment variable is missing, cannot run tests!') + + return api_token + + @pytest.fixture -def apify_client_async() -> ApifyClientAsync: +def apify_client_async(apify_token: str) -> ApifyClientAsync: """Create an instance of the ApifyClientAsync. This fixture can't be session-scoped, because then you start getting `RuntimeError: Event loop is closed` errors, because `httpx.AsyncClient` in `ApifyClientAsync` tries to reuse the same event loop across requests, but `pytest-asyncio` closes the event loop after each test, and uses a new one for the next test. """ - api_token = os.getenv(_TOKEN_ENV_VAR) api_url = os.getenv(_API_URL_ENV_VAR) - if not api_token: - raise RuntimeError(f'{_TOKEN_ENV_VAR} environment variable is missing, cannot run tests!') - - return ApifyClientAsync(api_token, api_url=api_url) + return ApifyClientAsync(apify_token, api_url=api_url) @pytest.fixture(scope='session') @@ -219,17 +226,17 @@ def __call__( """ -@pytest.fixture -async def make_actor( +@pytest.fixture(scope='session') +def make_actor( actor_base_source_files: dict[str, str | bytes], - apify_client_async: ApifyClientAsync, -) -> AsyncIterator[MakeActorFunction]: + apify_token: str, +) -> Iterator[MakeActorFunction]: """Fixture for creating temporary Actors for testing purposes. This returns a function that creates a temporary Actor from the given main function or source files. The Actor will be uploaded to the Apify Platform, built there, and after the test finishes, it will be automatically deleted. """ - actor_clients_for_cleanup: list[ActorClientAsync] = [] + actors_for_cleanup: list[str] = [] async def _make_actor( label: str, @@ -245,6 +252,7 @@ async def _make_actor( if (main_func and main_py) or (main_func and source_files) or (main_py and source_files): raise TypeError('Cannot specify more than one of `main_func`, `main_py` and `source_files` arguments') + client = ApifyClientAsync(token=apify_token, api_url=os.getenv(_API_URL_ENV_VAR)) actor_name = generate_unique_resource_name(label) # Get the source of main_func and convert it into a reasonable main_py file. @@ -303,7 +311,7 @@ async def _make_actor( ) print(f'Creating Actor {actor_name}...') - created_actor = await apify_client_async.actors().create( + created_actor = await client.actors().create( name=actor_name, default_run_build='latest', default_run_memory_mbytes=256, @@ -318,11 +326,11 @@ async def _make_actor( ], ) - actor_client = apify_client_async.actor(created_actor['id']) + actor_client = client.actor(created_actor['id']) print(f'Building Actor {actor_name}...') build_result = await actor_client.build(version_number='0.0') - build_client = apify_client_async.build(build_result['id']) + build_client = client.build(build_result['id']) build_client_result = await build_client.wait_for_finish(wait_secs=600) assert build_client_result is not None @@ -330,15 +338,29 @@ async def _make_actor( # We only mark the client for cleanup if the build succeeded, so that if something goes wrong here, # you have a chance to check the error. - actor_clients_for_cleanup.append(actor_client) + actors_for_cleanup.append(created_actor['id']) return actor_client yield _make_actor + client = ApifyClient(token=apify_token, api_url=os.getenv(_API_URL_ENV_VAR)) + # Delete all the generated Actors. - for actor_client in actor_clients_for_cleanup: - await actor_client.delete() + for actor_id in actors_for_cleanup: + actor_client = client.actor(actor_id) + + if (actor := actor_client.get()) is not None: + actor_client.update( + pricing_infos=[ + *actor.get('pricingInfos', []), + { + 'pricingModel': 'FREE', + }, + ] + ) + + actor_client.delete() class RunActorFunction(Protocol): @@ -349,6 +371,7 @@ def __call__( actor: ActorClientAsync, *, run_input: Any = None, + max_total_charge_usd: Decimal | None = None, ) -> Coroutine[None, None, ActorRun]: """Initiate an Actor run and wait for its completion. @@ -361,21 +384,30 @@ def __call__( """ -@pytest.fixture -async def run_actor(apify_client_async: ApifyClientAsync) -> RunActorFunction: +@pytest.fixture(scope='session') +def run_actor(apify_token: str) -> RunActorFunction: """Fixture for calling an Actor run and waiting for its completion. This fixture returns a function that initiates an Actor run with optional run input, waits for its completion, and retrieves the final result. It uses the `wait_for_finish` method with a timeout of 10 minutes. """ - async def _run_actor(actor: ActorClientAsync, *, run_input: Any = None) -> ActorRun: - call_result = await actor.call(run_input=run_input) + async def _run_actor( + actor: ActorClientAsync, + *, + run_input: Any = None, + max_total_charge_usd: Decimal | None = None, + ) -> ActorRun: + call_result = await actor.call( + run_input=run_input, + max_total_charge_usd=max_total_charge_usd, + ) assert isinstance(call_result, dict), 'The result of ActorClientAsync.call() is not a dictionary.' assert 'id' in call_result, 'The result of ActorClientAsync.call() does not contain an ID.' - run_client = apify_client_async.run(call_result['id']) + client = ApifyClientAsync(token=apify_token, api_url=os.getenv(_API_URL_ENV_VAR)) + run_client = client.run(call_result['id']) run_result = await run_client.wait_for_finish(wait_secs=600) return ActorRun.model_validate(run_result) diff --git a/tests/integration/test_actor_charge.py b/tests/integration/test_actor_charge.py new file mode 100644 index 00000000..d72062bc --- /dev/null +++ b/tests/integration/test_actor_charge.py @@ -0,0 +1,116 @@ +from __future__ import annotations + +import asyncio +from decimal import Decimal +from typing import TYPE_CHECKING + +import pytest_asyncio + +from apify_shared.consts import ActorJobStatus + +from apify import Actor +from apify._models import ActorRun + +if TYPE_CHECKING: + from collections.abc import Iterable + + from apify_client import ApifyClientAsync + from apify_client.clients import ActorClientAsync + + from .conftest import MakeActorFunction, RunActorFunction + + +@pytest_asyncio.fixture(scope='module', loop_scope='module') +async def ppe_actor_build(make_actor: MakeActorFunction) -> str: + async def main() -> None: + from dataclasses import asdict + + async with Actor: + charge_result = await Actor.charge( + event_name='foobar', + count=4, + ) + Actor.log.info('Charged', extra=asdict(charge_result)) + + actor_client = await make_actor('ppe', main_func=main) + + await actor_client.update( + pricing_infos=[ + { + 'pricingModel': 'PAY_PER_EVENT', + 'pricingPerEvent': { + 'actorChargeEvents': { + 'foobar': { + 'eventTitle': 'Foo bar', + 'eventPriceUsd': 0.1, + 'eventDescription': 'Foo foo bar bar', + }, + }, + }, + }, + ] + ) + + actor = await actor_client.get() + + assert actor is not None + return str(actor['id']) + + +@pytest_asyncio.fixture(scope='function', loop_scope='module') +async def ppe_actor( + ppe_actor_build: str, + apify_client_async: ApifyClientAsync, +) -> ActorClientAsync: + return apify_client_async.actor(ppe_actor_build) + + +def retry_counter(total_attempts: int) -> Iterable[tuple[bool, int]]: + for retry in range(total_attempts - 1): + yield False, retry + + yield True, total_attempts - 1 + + +async def test_actor_charge_basic( + ppe_actor: ActorClientAsync, + run_actor: RunActorFunction, + apify_client_async: ApifyClientAsync, +) -> None: + run = await run_actor(ppe_actor) + + # Refetch until the platform gets its act together + for is_last_attempt, _ in retry_counter(30): + await asyncio.sleep(1) + updated_run = await apify_client_async.run(run.id).get() + run = ActorRun.model_validate(updated_run) + + try: + assert run.status == ActorJobStatus.SUCCEEDED + assert run.charged_event_counts == {'foobar': 4} + break + except AssertionError: + if is_last_attempt: + raise + + +async def test_actor_charge_limit( + ppe_actor: ActorClientAsync, + run_actor: RunActorFunction, + apify_client_async: ApifyClientAsync, +) -> None: + run = await run_actor(ppe_actor, max_total_charge_usd=Decimal('0.2')) + + # Refetch until the platform gets its act together + for is_last_attempt, _ in retry_counter(30): + await asyncio.sleep(1) + updated_run = await apify_client_async.run(run.id).get() + run = ActorRun.model_validate(updated_run) + + try: + assert run.status == ActorJobStatus.SUCCEEDED + assert run.charged_event_counts == {'foobar': 2} + break + except AssertionError: + if is_last_attempt: + raise diff --git a/tests/unit/actor/test_actor_env_helpers.py b/tests/unit/actor/test_actor_env_helpers.py index 770fb856..e9eacdb2 100644 --- a/tests/unit/actor/test_actor_env_helpers.py +++ b/tests/unit/actor/test_actor_env_helpers.py @@ -3,6 +3,7 @@ import random import string from datetime import datetime, timedelta +from decimal import Decimal from typing import TYPE_CHECKING, Any from pydantic_core import TzInfo @@ -30,15 +31,7 @@ async def test_actor_is_not_at_home_when_local() -> None: assert is_at_home is False -async def test_actor_is_at_home_on_apify(monkeypatch: pytest.MonkeyPatch) -> None: - print('setenv') - monkeypatch.setenv(ApifyEnvVars.IS_AT_HOME, 'true') - async with Actor as actor: - is_at_home = actor.is_at_home() - assert is_at_home is True - - -async def test_get_env_with_randomized_env_vars(monkeypatch: pytest.MonkeyPatch) -> None: +async def test_get_env_with_randomized_env_vars(monkeypatch: pytest.MonkeyPatch) -> None: # noqa: PLR0912 ignored_env_vars = { ApifyEnvVars.INPUT_KEY, ApifyEnvVars.MEMORY_MBYTES, @@ -82,7 +75,10 @@ async def test_get_env_with_randomized_env_vars(monkeypatch: pytest.MonkeyPatch) continue float_get_env_var = float_env_var.name.lower() - expected_get_env[float_get_env_var] = random.random() + if float_env_var == ActorEnvVars.MAX_TOTAL_CHARGE_USD: + expected_get_env[float_get_env_var] = Decimal(random.random()) + else: + expected_get_env[float_get_env_var] = random.random() monkeypatch.setenv(float_env_var, f'{expected_get_env[float_get_env_var]}') for bool_env_var in BOOL_ENV_VARS: @@ -93,6 +89,9 @@ async def test_get_env_with_randomized_env_vars(monkeypatch: pytest.MonkeyPatch) expected_get_env[bool_get_env_var] = random.choice([True, False]) monkeypatch.setenv(bool_env_var, f'{"true" if expected_get_env[bool_get_env_var] else "false"}') + expected_get_env[ApifyEnvVars.IS_AT_HOME.name.lower()] = False + monkeypatch.setenv(ApifyEnvVars.IS_AT_HOME, 'false') + for datetime_env_var in DATETIME_ENV_VARS: if datetime_env_var in ignored_env_vars: continue diff --git a/tests/unit/actor/test_actor_lifecycle.py b/tests/unit/actor/test_actor_lifecycle.py index 33af45e6..b1bfbd78 100644 --- a/tests/unit/actor/test_actor_lifecycle.py +++ b/tests/unit/actor/test_actor_lifecycle.py @@ -4,13 +4,15 @@ import contextlib import json import sys +from datetime import datetime, timezone from typing import Any, Callable, cast +from unittest.mock import AsyncMock, Mock import pytest import websockets.server from lazy_object_proxy import Proxy -from apify_shared.consts import ApifyEnvVars +from apify_shared.consts import ActorEnvVars, ApifyEnvVars from crawlee.events._types import Event, EventPersistStateData import apify._actor @@ -129,6 +131,7 @@ async def test_actor_handles_migrating_event_correctly(monkeypatch: pytest.Monke # the Actor automatically emits the PERSIST_STATE event with data `{'isMigrating': True}` monkeypatch.setenv(ApifyEnvVars.PERSIST_STATE_INTERVAL_MILLIS, '500') monkeypatch.setenv(ApifyEnvVars.IS_AT_HOME, '1') + monkeypatch.setenv(ActorEnvVars.RUN_ID, 'asdf') persist_state_events_data = [] @@ -143,6 +146,37 @@ async def handler(websocket: websockets.server.WebSocketServerProtocol) -> None: port: int = ws_server.sockets[0].getsockname()[1] # type: ignore[index] monkeypatch.setenv(ApifyEnvVars.ACTOR_EVENTS_WS_URL, f'ws://localhost:{port}') + mock_run_client = Mock() + mock_run_client.run.return_value.get = AsyncMock( + side_effect=lambda: { + 'id': 'asdf', + 'actId': 'asdf', + 'userId': 'adsf', + 'startedAt': datetime.now(timezone.utc), + 'status': 'RUNNING', + 'meta': {'origin': 'DEVELOPMENT'}, + 'stats': { + 'inputBodyLen': 99, + 'restartCount': 0, + 'resurrectCount': 0, + 'computeUnits': 1, + }, + 'options': { + 'build': 'asdf', + 'timeoutSecs': 4, + 'memoryMbytes': 1024, + 'diskMbytes': 1024, + }, + 'buildId': 'hjkl', + 'defaultDatasetId': 'hjkl', + 'defaultKeyValueStoreId': 'hjkl', + 'defaultRequestQueueId': 'hjkl', + 'containerUrl': 'https://hjkl', + } + ) + + monkeypatch.setattr(Actor._charging_manager, '_client', mock_run_client) + async with Actor: Actor.on(Event.PERSIST_STATE, log_persist_state) await asyncio.sleep(2) diff --git a/tests/unit/actor/test_actor_log.py b/tests/unit/actor/test_actor_log.py index 41217486..0cd1aeb8 100644 --- a/tests/unit/actor/test_actor_log.py +++ b/tests/unit/actor/test_actor_log.py @@ -14,12 +14,8 @@ import pytest -async def test_actor_logs_messages_correctly( - caplog: pytest.LogCaptureFixture, - monkeypatch: pytest.MonkeyPatch, -) -> None: +async def test_actor_logs_messages_correctly(caplog: pytest.LogCaptureFixture) -> None: caplog.set_level(logging.DEBUG, logger='apify') - monkeypatch.setenv('APIFY_IS_AT_HOME', '1') with contextlib.suppress(RuntimeError): async with Actor(configure_logging=False): @@ -43,7 +39,7 @@ async def test_actor_logs_messages_correctly( # Test that exception in Actor.main is logged with the traceback raise RuntimeError('Dummy RuntimeError') - assert len(caplog.records) == 12 + assert len(caplog.records) == 13 assert caplog.records[0].levelno == logging.INFO assert caplog.records[0].message == 'Initializing Actor...' @@ -56,39 +52,42 @@ async def test_actor_logs_messages_correctly( assert getattr(caplog.records[1], 'os', None) == sys.platform assert caplog.records[2].levelno == logging.DEBUG - assert caplog.records[2].message.startswith('APIFY_ACTOR_EVENTS_WS_URL env var not set') + assert caplog.records[2].message == 'Event manager initialized' assert caplog.records[3].levelno == logging.DEBUG - assert caplog.records[3].message == 'Debug message' + assert caplog.records[3].message == 'Charging manager initialized' - assert caplog.records[4].levelno == logging.INFO - assert caplog.records[4].message == 'Info message' + assert caplog.records[4].levelno == logging.DEBUG + assert caplog.records[4].message == 'Debug message' - assert caplog.records[5].levelno == logging.WARNING - assert caplog.records[5].message == 'Warning message' + assert caplog.records[5].levelno == logging.INFO + assert caplog.records[5].message == 'Info message' - assert caplog.records[6].levelno == logging.ERROR - assert caplog.records[6].message == 'Error message' + assert caplog.records[6].levelno == logging.WARNING + assert caplog.records[6].message == 'Warning message' assert caplog.records[7].levelno == logging.ERROR - assert caplog.records[7].message == 'Exception message' - assert caplog.records[7].exc_info is not None - assert caplog.records[7].exc_info[0] is ValueError - assert isinstance(caplog.records[7].exc_info[1], ValueError) - assert str(caplog.records[7].exc_info[1]) == 'Dummy ValueError' - - assert caplog.records[8].levelno == logging.INFO - assert caplog.records[8].message == 'Multi\nline\nlog\nmessage' - - assert caplog.records[9].levelno == logging.ERROR - assert caplog.records[9].message == 'Actor failed with an exception' - assert caplog.records[9].exc_info is not None - assert caplog.records[9].exc_info[0] is RuntimeError - assert isinstance(caplog.records[9].exc_info[1], RuntimeError) - assert str(caplog.records[9].exc_info[1]) == 'Dummy RuntimeError' - - assert caplog.records[10].levelno == logging.INFO - assert caplog.records[10].message == 'Exiting Actor' - - assert caplog.records[11].levelno == logging.DEBUG - assert caplog.records[11].message == 'Not calling sys.exit(91) because Actor is running in an unit test' + assert caplog.records[7].message == 'Error message' + + assert caplog.records[8].levelno == logging.ERROR + assert caplog.records[8].message == 'Exception message' + assert caplog.records[8].exc_info is not None + assert caplog.records[8].exc_info[0] is ValueError + assert isinstance(caplog.records[8].exc_info[1], ValueError) + assert str(caplog.records[8].exc_info[1]) == 'Dummy ValueError' + + assert caplog.records[9].levelno == logging.INFO + assert caplog.records[9].message == 'Multi\nline\nlog\nmessage' + + assert caplog.records[10].levelno == logging.ERROR + assert caplog.records[10].message == 'Actor failed with an exception' + assert caplog.records[10].exc_info is not None + assert caplog.records[10].exc_info[0] is RuntimeError + assert isinstance(caplog.records[10].exc_info[1], RuntimeError) + assert str(caplog.records[10].exc_info[1]) == 'Dummy RuntimeError' + + assert caplog.records[11].levelno == logging.INFO + assert caplog.records[11].message == 'Exiting Actor' + + assert caplog.records[12].levelno == logging.DEBUG + assert caplog.records[12].message == 'Not calling sys.exit(91) because Actor is running in an unit test'