migrate session handling to aioweb_tls/refactoring of helpers
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10 files changed
+244
-295
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@@ -11,6 +11,7 @@ from json import JSONDecodeError
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import aiohttp
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import requests
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from aioweb import AiowebError
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from curl_cffi.requests.errors import RequestsError
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from pymongo.errors import PyMongoError
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@@ -27,6 +28,7 @@ LOGGERS = [
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RETRY_LIMIT = 5
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RETRY_WAIT = 3
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CYCLE_DELAY = 0.30
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MIN_BACKOFF_DELAY = 0.1
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MAX_BACKOFF_DELAY = 2.0
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FAILURE_DELAY = 3
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@@ -44,6 +46,7 @@ EXPECTED_TASK_ERRORS = (
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requests.HTTPError,
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PyMongoError,
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JSONDecodeError,
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AiowebError,
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)
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@@ -99,7 +99,8 @@ async def add_products_to_database(
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price is lower (a drop) and cleared otherwise, so any price_before_drop on
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the incoming product is ignored. Prices are recorded in a pastPrices array
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of price/date entries; a price already present in the array is never
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recorded again, so each distinct price keeps only its first-seen timestamp. New products and never-before-recorded prices
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recorded again, so each distinct price keeps only its first-seen timestamp.
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New products and never-before-recorded prices
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upsert an alert referencing the product; a price returning to a value
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already in pastPrices emits nothing, so per-source price oscillation
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(member vs non-member quotes for the same SKU) alerts once per distinct
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@@ -119,6 +120,12 @@ async def add_products_to_database(
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product_id.
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"""
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# Callers are expected to filter empty batches, but guard here too: an empty
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# products list would make collection.bulk_write([]) raise InvalidOperation,
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# which callers would then log as a spurious category failure every cycle.
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if not products:
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return
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doc_ids = [
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build_doc_id(p.product_id, category_identifier, use_composite) for p in products
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]
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@@ -311,8 +318,10 @@ def build_doc_id(
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def convert_product_to_mongo(product: Product) -> dict:
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"""Flatten a Product into its MongoDB document representation.
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Coerces string prices to floats and stamps lastUpdated with the current
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UTC time. The _id is assigned by the caller via build_doc_id.
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Stamps lastUpdated with the current UTC time. Prices are already floats via
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the Product's pydantic validation (numeric strings coerced, comma strings
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rejected at construction), so no coercion happens here. The _id is assigned
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by the caller via build_doc_id.
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Args:
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product: Product to convert.
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@@ -328,9 +337,6 @@ def convert_product_to_mongo(product: Product) -> dict:
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availability = data["availability"]
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current_price = pricing["current_price"]
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original_price = pricing["original_price"]
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if isinstance(current_price, str):
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current_price = float(current_price.replace(",", ""))
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original_price = float(original_price.replace(",", ""))
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return {
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"title": data["title"],
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@@ -1,3 +1,4 @@
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# Idk who made this i was provided it by louis
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import asyncio
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from typing import Dict
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@@ -6,6 +6,24 @@ from datetime import datetime
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from pydantic.dataclasses import dataclass
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@dataclass
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class CycleResult:
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"""Tallied outcome of one monitor cycle.
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Pure counts for the caller to log or act on as it sees fit; no policy is
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baked in.
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Attributes:
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successes: Category tasks that completed without an expected error.
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failures: Category tasks that raised an expected error.
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skipped: True when pre_task_func failed and no category tasks ran.
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"""
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successes: int = 0
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failures: int = 0
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skipped: bool = False
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@dataclass
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class ConsumerConfig:
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"""Configuration for a single retailer's consumer.
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+78
-81
@@ -1,6 +1,6 @@
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import asyncio
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import logging
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from typing import Awaitable, Callable, Iterable
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from collections.abc import Awaitable, Callable, Iterable
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import aiohttp
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from aioproxies import AioProxies
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@@ -18,12 +18,12 @@ from monitor_utils.constants import EXPECTED_TASK_ERRORS, LOGGING_LEVEL
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from monitor_utils.database import get_collection
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from monitor_utils.models import (
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AvailabilityInfo,
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CycleResult,
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PricingInfo,
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Product,
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ProductMetadata,
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ProductTiming,
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)
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from monitor_utils.sessions import get_base_session, get_tls_session
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LOGGER = logging.getLogger(__name__)
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@@ -186,23 +186,23 @@ def build_product_details(
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return built
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async def execute_monitor_logic(
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async def run_monitor_cycle(
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category_identifiers: list[str] | dict[str, str],
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task_func: Callable[..., Awaitable[None]],
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session: aiohttp.ClientSession | AsyncSession,
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*,
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proxies: AioProxies,
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headers: dict | None = None,
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cookies: dict | None = None,
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pre_task_func: Callable[..., Awaitable[None]] | None = None,
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concurrent_pre_task_func: Callable[..., Awaitable[None]] | None = None,
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use_tls: bool = False,
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**kwargs,
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):
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"""Run the monitor's category tasks in a loop with a fresh session per cycle.
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) -> CycleResult:
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"""Run one monitor cycle over a caller-supplied session and report the outcome.
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Each cycle opens a TLS or base session, awaits pre_task_func if given,
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dispatches task_func per category concurrently, logs expected failures,
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raises unexpected ones, then sleeps briefly before the next cycle.
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Awaits pre_task_func if given, dispatches task_func per category
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concurrently, logs expected failures, and raises unexpected ones. The
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caller owns the loop, the session lifetime, and the inter-cycle delay: wrap
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this in a `while True` that opens a fresh session per cycle and sleeps
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between cycles, using the returned CycleResult to drive backoff (reset the
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delay when healthy, grow it when not).
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Args:
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category_identifiers: List of category ids, or a mapping of category
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@@ -210,80 +210,78 @@ async def execute_monitor_logic(
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task_func.
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task_func: Awaitable invoked per category with the identifier,
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session, and **kwargs.
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proxies: Proxies applied to the session.
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headers: Headers applied to the session.
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cookies: Cookies applied to the base session; ignored for TLS.
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pre_task_func: Optional awaitable run once per cycle, awaited before any
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category tasks are dispatched and receiving session and **kwargs.
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Use it for setup the category tasks depend on (session headers,
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cookies, fetched state); if it raises an expected task error the
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cycle is skipped and retried after the usual delay.
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session: Open HTTP session for this cycle, built and closed by the
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caller. Proxies are the caller's responsibility, either bound to
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the session or forwarded to task_func via **kwargs.
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pre_task_func: Optional awaitable run once at the start of the cycle,
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awaited before any category tasks are dispatched and receiving
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session and **kwargs. Use it for setup the category tasks depend on
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(session headers, cookies, fetched state); if it raises an expected
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task error the cycle is skipped and a skipped CycleResult returned.
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concurrent_pre_task_func: Optional awaitable run once per cycle, gathered
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alongside the category tasks and receiving session and **kwargs.
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Category tasks must not depend on its side effects (session
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headers, cookies, fetched state) since no ordering is guaranteed.
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use_tls: Use the TLS fingerprint session instead of the base session.
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**kwargs: Forwarded verbatim to pre_task_func, concurrent_pre_task_func,
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and every task_func call.
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Returns:
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A CycleResult tallying task successes and expected-error failures, or a
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skipped result when pre_task_func failed.
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Raises:
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Exception: Any unexpected (non-EXPECTED_TASK_ERRORS) error raised by a
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task or pre_task_func propagates, failing loud so the caller's loop
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crashes rather than silently retrying a broken monitor.
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"""
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while True:
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session_ctx = (
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get_tls_session(
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headers=headers,
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proxies=proxies,
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if pre_task_func:
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try:
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await pre_task_func(session=session, **kwargs)
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except EXPECTED_TASK_ERRORS as error:
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LOGGER.warning("pre task failed, skipping cycle", exc_info=error)
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return CycleResult(skipped=True)
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LOGGER.info("starting tasks")
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if isinstance(category_identifiers, dict):
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tasks = [
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task_func(category_id, session, query_category_id=query, **kwargs)
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for category_id, query in category_identifiers.items()
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]
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category_keys = list(category_identifiers.keys())
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else:
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tasks = [
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task_func(category_identifier, session, **kwargs)
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for category_identifier in category_identifiers
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]
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category_keys = list(category_identifiers)
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if concurrent_pre_task_func:
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tasks.append(concurrent_pre_task_func(session=session, **kwargs))
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category_keys.append("pre_task")
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results = await asyncio.gather(*tasks, return_exceptions=True)
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successes = 0
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failures = 0
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for category_identifier, result in zip(category_keys, results):
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if isinstance(result, EXPECTED_TASK_ERRORS):
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LOGGER.warning(
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"failed to get products",
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extra={"category": category_identifier},
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exc_info=result,
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)
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if use_tls
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else get_base_session(headers=headers, cookies=cookies, proxies=proxies)
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)
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async with session_ctx as session:
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skip_cycle = False
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if pre_task_func:
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try:
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await pre_task_func(session=session, **kwargs)
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except EXPECTED_TASK_ERRORS as error:
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LOGGER.warning("pre task failed, skipping cycle", exc_info=error)
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skip_cycle = True
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failures += 1
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elif isinstance(result, Exception):
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LOGGER.error(
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"unexpected error",
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extra={"category": category_identifier},
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exc_info=result,
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)
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raise result
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else:
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successes += 1
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if not skip_cycle:
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LOGGER.info("starting tasks")
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if isinstance(category_identifiers, dict):
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tasks = [
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task_func(
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category_id, session, query_category_id=query, **kwargs
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)
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for category_id, query in category_identifiers.items()
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]
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category_keys = list(category_identifiers.keys())
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else:
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tasks = [
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task_func(category_identifier, session, **kwargs)
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for category_identifier in category_identifiers
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]
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category_keys = list(category_identifiers)
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if concurrent_pre_task_func:
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tasks.append(concurrent_pre_task_func(session=session, **kwargs))
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category_keys.append("pre_task")
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results = await asyncio.gather(*tasks, return_exceptions=True)
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for category_identifier, result in zip(category_keys, results):
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if isinstance(result, EXPECTED_TASK_ERRORS):
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LOGGER.warning(
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"failed to get products",
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extra={"category": category_identifier},
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exc_info=result,
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)
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elif isinstance(result, Exception):
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LOGGER.error(
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"unexpected error",
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extra={"category": category_identifier},
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exc_info=result,
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)
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raise result
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LOGGER.info("sleeping before next tasks", extra={"delay": 0.30})
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await asyncio.sleep(0.30)
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return CycleResult(successes=successes, failures=failures)
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async def execute_pagination(
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@@ -311,11 +309,10 @@ async def execute_pagination(
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func: Awaitable task invoked per page; receives session plus either
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offset or page_number depending on pagination_mode.
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session: HTTP session forwarded to each func call.
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max_concurrent_tasks: Semaphore limit for concurrent page fetches, used
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only when semaphore is not supplied. Each execute_pagination call
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builds its own semaphore, so this bounds one category in isolation;
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with many categories running concurrently the effective limit is
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this value times the category count.
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semaphore: Required bound on concurrent page fetches. Pass one shared
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semaphore across all categories so the limit caps total fan-out; a
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per-call semaphore would instead bound each category in isolation,
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making the effective limit this value times the category count.
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start_offset: Additive base applied to every offset, for APIs whose
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offset space does not begin at zero. Page N requests offset
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start_offset + (N - 1) * products_per_page.
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+52
-188
@@ -1,225 +1,89 @@
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"""Shared HTTP session helpers for all monitors.
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Known gap: UA/TLS fingerprint does not always match headers/header order,
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but targeted antibots do not currently seem to care.
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A single aioweb_tls TLSSession (curl_cffi backend, random client fingerprint per
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session) replaces the old aiohttp/curl_cffi split. send_request wraps aioweb's
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request_with_retries, adding per-request proxy rotation and old-style JSON/text
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return values so monitor call sites change as little as possible.
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"""
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import asyncio
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import json
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import logging
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import random
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from contextlib import asynccontextmanager
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from typing import AsyncGenerator
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import aiohttp
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import requests
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from aioproxies import AioProxies
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from curl_cffi.requests import AsyncSession
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from curl_cffi.requests.errors import RequestsError
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from curl_cffi.requests.exceptions import Timeout as CurlTimeout
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from fake_useragent import FakeUserAgent
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from tenacity import (
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after_log,
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before_log,
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retry,
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retry_if_exception_type,
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stop_after_attempt,
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wait_fixed,
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)
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from aioweb import Response
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from aioweb_tls import CurlCffi, TLSSession
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from monitor_utils.constants import (
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CLIENT_IDENTIFIERS,
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CLIENT_TIMEOUT,
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RETRY_LIMIT,
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RETRY_WAIT,
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TIMEOUT_SECONDS,
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)
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LOGGER = logging.getLogger(__name__)
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UA = FakeUserAgent()
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from monitor_utils.constants import CLIENT_IDENTIFIERS, RETRY_LIMIT
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@asynccontextmanager
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async def get_base_session(
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headers: dict | None = None,
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cookies: dict | None = None,
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connector: aiohttp.TCPConnector | None = None,
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timeout: aiohttp.ClientTimeout = CLIENT_TIMEOUT,
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proxies: AioProxies | None = None,
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) -> AsyncGenerator[aiohttp.ClientSession, None]:
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"""Yield an aiohttp session with a random User-Agent and attached proxy pool.
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def get_default_session() -> TLSSession:
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"""Return a TLSSession impersonating a random client fingerprint.
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The proxy pool is stored on the session as proxy_pool for send_request to
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rotate per request. The session is always closed on exit.
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Fingerprint rotation lives here so every monitor rotates the same way; the
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caller owns the session lifetime via ``async with``.
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Args:
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headers: Headers applied to the session; User-Agent is defaulted if
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absent.
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cookies: Cookies applied to the session.
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connector: Optional TCP connector.
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timeout: Client timeout applied to the session.
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proxies: Proxy pool attached to the session.
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Yields:
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The configured aiohttp session.
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Returns:
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A TLSSession over a curl_cffi backend with a random impersonation.
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"""
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headers = headers if headers else {}
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headers.setdefault("User-Agent", UA.random)
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session = aiohttp.ClientSession(
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headers=headers, cookies=cookies, connector=connector, timeout=timeout
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)
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session.proxy_pool = proxies
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try:
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yield session
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finally:
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await session.close()
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return TLSSession(backend=CurlCffi(impersonate=random.choice(CLIENT_IDENTIFIERS)))
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@asynccontextmanager
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async def get_tls_session(
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headers: dict | None = None,
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timeout: int = TIMEOUT_SECONDS,
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proxies: AioProxies | None = None,
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) -> AsyncGenerator[AsyncSession, None]:
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"""Yield a curl_cffi session impersonating a random client fingerprint.
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The proxy pool is stored on the session as proxy_pool for send_request to
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rotate per request.
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Args:
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headers: Headers applied to the session; a Chrome User-Agent is
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defaulted if absent.
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timeout: Request timeout in seconds.
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proxies: Proxy pool attached to the session.
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Yields:
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The configured curl_cffi session.
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"""
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headers = headers if headers else {}
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headers.setdefault("User-Agent", UA.chrome)
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async with AsyncSession(
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impersonate=random.choice(CLIENT_IDENTIFIERS),
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timeout=timeout,
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headers=headers,
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) as session:
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session.proxy_pool = proxies
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yield session
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def build_session_details(
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session: aiohttp.ClientSession | AsyncSession, headers: dict = None
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):
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"""Merge headers into an existing session, defaulting a random User-Agent.
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Args:
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session: Session whose headers are updated in place.
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headers: Headers to merge; User-Agent is defaulted if absent.
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"""
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headers = headers or {}
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headers.setdefault("User-Agent", UA.random)
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session.headers.update(headers)
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@retry(
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stop=stop_after_attempt(RETRY_LIMIT),
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wait=wait_fixed(RETRY_WAIT),
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retry=retry_if_exception_type(
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||||
(
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aiohttp.ClientError,
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||||
asyncio.TimeoutError,
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||||
RequestsError,
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||||
requests.Timeout,
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CurlTimeout,
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)
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),
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before=before_log(LOGGER, logging.DEBUG),
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after=after_log(LOGGER, logging.DEBUG),
|
||||
reraise=True,
|
||||
)
|
||||
async def send_request(
|
||||
session: aiohttp.ClientSession | AsyncSession,
|
||||
session: TLSSession,
|
||||
url: str,
|
||||
method: str,
|
||||
*,
|
||||
proxies: AioProxies,
|
||||
params: dict | None = None,
|
||||
json_data: dict | None = None,
|
||||
data: dict | None = None,
|
||||
headers: dict | None = None,
|
||||
reraise_json_error: bool = False,
|
||||
development_proxy: str | None = None,
|
||||
) -> dict | str:
|
||||
"""Send a request through either session type with retries and proxy rotation.
|
||||
) -> Response:
|
||||
"""Send a request through a TLSSession with retries and proxy rotation.
|
||||
|
||||
Retries transport errors and timeouts up to RETRY_LIMIT with a fixed wait.
|
||||
When development_proxy is set it overrides the session's proxy pool and
|
||||
disables TLS verification for local traffic inspection; otherwise the next
|
||||
proxy is drawn from the session's proxy_pool when present. Responses are
|
||||
parsed as JSON when possible.
|
||||
Wraps aioweb's request_with_retries, which retries transport errors,
|
||||
timeouts, and retryable statuses (429/5xx) up to RETRY_LIMIT attempts with
|
||||
exponential backoff. The next proxy is drawn from the pool per call and
|
||||
applied to both schemes. A non-2xx response or a fully failed request raises
|
||||
AiowebError, an expected task error, so a failed fetch surfaces the same way
|
||||
the old HTTPError path did. On success the aioweb Response is returned for
|
||||
the caller to read via response.json(), response.text(), etc.
|
||||
|
||||
Args:
|
||||
session: aiohttp or curl_cffi session to send through.
|
||||
session: The TLSSession to send through.
|
||||
url: Request URL.
|
||||
method: HTTP method.
|
||||
proxies: Proxy pool (required); the next proxy is drawn per call and
|
||||
applied to both http and https.
|
||||
params: Query parameters.
|
||||
json_data: JSON body.
|
||||
data: Form body.
|
||||
headers: Per-request headers merged over the session headers,
|
||||
avoiding mutation of shared session state from concurrent tasks.
|
||||
reraise_json_error: Raise JSONDecodeError instead of returning raw
|
||||
text when the response is not valid JSON.
|
||||
development_proxy: Local proxy URL that overrides the pool and
|
||||
disables verification.
|
||||
json_data: JSON body. A dict here is sent as a JSON body.
|
||||
data: Alternative body. Note aioweb routes any dict or list to a JSON
|
||||
body, so true form-encoding requires a pre-encoded string; a form
|
||||
dict passed here is sent as JSON.
|
||||
headers: Per-request headers merged over the session defaults.
|
||||
|
||||
Returns:
|
||||
Parsed JSON dict, or raw response text when parsing fails and
|
||||
reraise_json_error is False.
|
||||
The aioweb Response, guaranteed 2xx (non-2xx raises). Read the body with
|
||||
response.json() (dict/list, or None if not valid JSON) or
|
||||
response.text().
|
||||
|
||||
Raises:
|
||||
json.JSONDecodeError: When parsing fails and reraise_json_error is
|
||||
True.
|
||||
AiowebError: On a non-2xx response or after all retries fail.
|
||||
"""
|
||||
|
||||
verify = True
|
||||
if development_proxy:
|
||||
proxy = development_proxy
|
||||
verify = False
|
||||
else:
|
||||
manager = getattr(session, "proxy_pool", None)
|
||||
proxy = manager.next().url() if manager else None
|
||||
proxy_url = proxies.next().url()
|
||||
proxy = {"http": proxy_url, "https": proxy_url}
|
||||
|
||||
if isinstance(session, aiohttp.ClientSession):
|
||||
async with session.request(
|
||||
method=method,
|
||||
url=url,
|
||||
params=params,
|
||||
json=json_data,
|
||||
data=data,
|
||||
headers=headers,
|
||||
proxy=proxy,
|
||||
ssl=verify,
|
||||
) as response:
|
||||
response.raise_for_status()
|
||||
text = await response.text()
|
||||
else:
|
||||
response = await session.request(
|
||||
method=method.upper(),
|
||||
url=url,
|
||||
params=params,
|
||||
json=json_data,
|
||||
data=data,
|
||||
headers=headers,
|
||||
proxy=proxy,
|
||||
verify=verify,
|
||||
)
|
||||
response.raise_for_status()
|
||||
text = response.text
|
||||
body = json_data if json_data is not None else data
|
||||
response = await session.request_with_retries(
|
||||
method.upper(),
|
||||
url,
|
||||
params=params,
|
||||
data=body,
|
||||
headers=headers,
|
||||
proxies=proxy,
|
||||
attempts=RETRY_LIMIT,
|
||||
)
|
||||
response.raise_for_status()
|
||||
|
||||
try:
|
||||
return json.loads(text)
|
||||
except json.JSONDecodeError:
|
||||
if reraise_json_error:
|
||||
raise
|
||||
|
||||
return text
|
||||
return response
|
||||
Reference in new issue
Block a user