текущая версия (рабочая)
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import asyncio
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import logging
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import time
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from datetime import datetime
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from functools import lru_cache
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from typing import Any
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import httpx
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from app import config
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from app.handlers.reviews import add_to_message_queue
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from app.models import Review, Settings
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from app.services.gpt import GPTClient
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from app.services.sheets import read_sheet
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logger = logging.getLogger(__name__)
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def get_cache_key() -> int:
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return int(time.time()) // config.PRODUCTS_CACHE_TTL
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@lru_cache(maxsize=1)
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def get_products_dict(_: int) -> dict[str, dict[str, Any]]:
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logger.info("Requesting WB products list")
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sheet = read_sheet(config.PRODUCTS_WB_SHEET_LINK)
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return {
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str(product.get("SKU") or product.get("Артикул WB")): product
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for product in sheet
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}
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class WildberriesClient:
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def __init__(self):
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self.base_url = config.WB_BASE_URL
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self.headers = {
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"Authorization": config.WB_API_KEY,
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"Content-Type": "application/json",
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}
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async def get_reviews(
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self, date_from: int, date_to: int, limit: int = 30
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) -> list[dict[str, Any]]:
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url = f"{self.base_url}/api/v1/feedbacks"
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all_feedbacks = []
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for is_answered in [True, False]:
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params = {
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"isAnswered": is_answered,
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"take": limit,
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"skip": 0,
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"order": "dateDesc",
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"dateFrom": date_from,
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"dateTo": date_to,
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}
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try:
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async with httpx.AsyncClient() as client:
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response = await client.get(
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url, headers=self.headers, params=params
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)
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response.raise_for_status()
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data = response.json()
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feedbacks = data.get("data", {}).get("feedbacks", [])
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all_feedbacks.extend(feedbacks)
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except httpx.HTTPError as e:
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logger.error(f"Error fetching Wildberries reviews: {e}")
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return all_feedbacks
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async def post_comment(self, review_id: str, text: str) -> dict[str, Any]:
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url = f"{self.base_url}/api/v1/feedbacks/answer"
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data = {"id": review_id, "text": text}
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try:
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async with httpx.AsyncClient() as client:
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response = await client.post(url, headers=self.headers, json=data)
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response.raise_for_status()
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if response.status_code == 204:
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return {"success": True}
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return {
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"success": False,
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"error": f"Status code: {response.status_code}",
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}
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except httpx.HTTPError as e:
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logger.error(f"Error posting comment to Wildberries: {e}")
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return {"success": False, "error": str(e)}
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async def delete_comment(self, reply_id: str) -> dict[str, Any]:
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url = f"https://www.wildberries.ru/api/comments/replies/{reply_id}"
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try:
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async with httpx.AsyncClient() as client:
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response = await client.delete(url, headers=self.headers)
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if response.status_code == 204:
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return {"success": True}
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return {
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"success": False,
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"error": f"Status code: {response.status_code}",
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}
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except httpx.HTTPError as e:
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logger.error(f"Error deleting comment from Wildberries: {e}")
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return {"success": False, "error": str(e)}
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@staticmethod
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def format_datetime(iso_datetime: str) -> str:
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"""Format ISO datetime to a human-readable format."""
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try:
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dt = datetime.strptime(iso_datetime, "%Y-%m-%dT%H:%M:%SZ")
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dt = dt.replace(tzinfo=None) # Make naive before applying timezone
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dt = dt.astimezone(config.TIMEZONE)
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return dt.strftime("%d.%m.%Y %H:%M:%S")
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except ValueError:
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return iso_datetime
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async def process_new_reviews(self) -> dict[str, int]:
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gpt_client = GPTClient()
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current_time = int(datetime.now(config.TIMEZONE).timestamp())
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try:
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latest_review = (
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await Review.filter(platform="wb").order_by("-published_at").first()
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)
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start_time = (
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int(latest_review.published_at.timestamp())
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if latest_review
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else int(datetime(2000, 1, 1, tzinfo=config.TIMEZONE).timestamp())
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)
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except Exception as e:
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logger.error(f"Error getting latest review: {e}")
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start_time = int(datetime(2000, 1, 1, tzinfo=config.TIMEZONE).timestamp())
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reviews = await self.get_reviews(start_time, current_time)
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if not reviews:
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logger.info("No reviews fetched from Wildberries")
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return {"processed": 0, "new": 0}
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processed = 0
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for feedback in reviews:
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review_id = feedback.get("id")
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existing = await Review.filter(
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external_id=review_id, platform="wb"
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).exists()
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if existing:
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continue
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logger.info(f"WB: processing review {feedback}")
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text = (
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(feedback.get("text", "") or "")
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+ "\n"
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+ (feedback.get("pros", "") or "")
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+ "\n"
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+ (feedback.get("cons", "") or "")
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).strip()
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try:
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published_at = datetime.strptime(
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feedback.get("createdDate"), "%Y-%m-%dT%H:%M:%SZ"
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)
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published_at = published_at.replace(
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tzinfo=None
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) # Make naive before applying timezone
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published_at = published_at.astimezone(config.TIMEZONE)
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except (ValueError, TypeError):
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published_at = datetime.now(config.TIMEZONE)
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product_id = str(feedback.get("productDetails", {}).get("nmId", ""))
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if not product_id:
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logger.error(f"WB: no product id in review {feedback}")
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continue
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product = get_products_dict(get_cache_key()).get(product_id)
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if product:
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product.setdefault("Название", product.get("Наименование"))
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product.setdefault("Категория", product.get("Категория продавца"))
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product.setdefault("Подкатегория", "неизвестно")
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else:
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logger.warning(f"WB: no product found for id {product_id}")
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product = {
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"Название": feedback.get("productDetails", {}).get(
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"productName", ""
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),
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"Категория": "неизвестно",
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"Подкатегория": "неизвестно",
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}
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# Extract image URLs from the feedback
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images = []
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if feedback.get("photoLinks"):
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for photo in feedback["photoLinks"]:
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if photo.get("fullSize"):
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images.append(photo["fullSize"])
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bables_raw = feedback.get("bables")
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bables = (
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list(bables_raw)
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if isinstance(bables_raw, list)
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else ([bables_raw] if bables_raw is not None else None)
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)
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review_data = {
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"external_id": review_id,
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"platform": "wb",
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"product_id": product_id,
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"product_name": product.get("Название", ""),
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"product_category": product.get("Категория", ""),
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"product_subcategory": product.get("Подкатегория", ""),
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"rating": feedback.get("productValuation", 0),
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"is_good": feedback.get("productValuation", 0) > config.NEGATIVE_RATING,
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"text": text,
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"published_at": published_at,
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"processed": False,
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"images": images if images else None,
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"bables": bables,
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}
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review_obj = await Review.create(**review_data)
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settings = await Settings.get_from_context(review=review_obj)
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if not review_obj.text and review_obj.is_good and not settings.auto_response_empty_enabled:
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add_to_message_queue(review_obj)
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await asyncio.sleep(0.1)
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processed += 1
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continue
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if settings.analysis_enabled and review_obj.text:
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try:
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analysis = await gpt_client.analyze_review(settings, review_obj)
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await review_obj.update_from_dict(
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gpt_client.extract_analysis_data(analysis)
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)
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await review_obj.save()
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except Exception as e:
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logger.error(f"Error analyzing review {review_id}: {e}")
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if settings.auto_response_enabled and review_obj.text:
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try:
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response = await gpt_client.generate_answer(settings, review_obj)
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if response:
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result = await self.post_comment(review_id, response)
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if result.get("success"):
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review_obj.response_text = response
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review_obj.responded_at = datetime.now(config.TIMEZONE)
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await review_obj.save()
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except Exception as e:
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logger.error(f"Error auto-responding to review {review_id}: {e}")
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if settings.auto_response_empty_enabled and not review_obj.text:
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try:
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template = (
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(settings.template_empty_high_rating or config.TEMPLATE_EMPTY_HIGH_RATING)
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if review_obj.rating > config.NEGATIVE_RATING
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else (settings.template_empty_low_rating or config.TEMPLATE_EMPTY_LOW_RATING)
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)
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result = await self.post_comment(review_id, template)
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if result.get("success"):
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review_obj.response_text = template
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review_obj.responded_at = datetime.now(config.TIMEZONE)
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await review_obj.save()
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except Exception as e:
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logger.error(
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f"Error auto-responding (template) to review {review_id}: {e}"
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)
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add_to_message_queue(review_obj)
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processed += 1
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await asyncio.sleep(0.1)
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return {"processed": processed, "new": len(reviews)}
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