chore: Reformatted the order-processing sample by ensuring black, isort, and flake8 pass

python/agents/personalized-shopping/deployment/deploy.py

@@ -12,13 +12,13 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
-import vertexai
-from vertexai.preview.reasoning_engines import AdkApp
-from vertexai import agent_engines
-from dotenv import load_dotenv
 import os
 
+import vertexai
+from dotenv import load_dotenv
 from personalized_shopping.agent import root_agent
+from vertexai import agent_engines
+from vertexai.preview.reasoning_engines import AdkApp
 
 load_dotenv()
 

python/agents/personalized-shopping/personalized_shopping/__init__.py

@@ -21,17 +21,17 @@
 os.environ["GOOGLE_CLOUD_LOCATION"] = "global"
 os.environ.setdefault("GOOGLE_GENAI_USE_VERTEXAI", "True")
 
-import torch
+import torch  # noqa: E402
 
 # Workaround to Resolve the PyTorch-Streamlit Incompatibility Issue
 torch.classes.__path__ = []
 
 # Initialize webshop environment (requires Java)
 # If Java is not available (e.g., in CI), set webshop_env to None
 try:
-    from .shared_libraries.init_env import init_env, webshop_env
+    from .shared_libraries.init_env import init_env, webshop_env  # noqa: E402
 except Exception:
     webshop_env = None
     init_env = None
 
-from . import agent
+from . import agent  # noqa: F401, E402

python/agents/personalized-shopping/personalized_shopping/agent.py

@@ -15,10 +15,9 @@
 from google.adk.agents import Agent
 from google.adk.tools import FunctionTool
 
-from .tools.search import search
-from .tools.click import click
-
 from .prompt import personalized_shopping_agent_instruction
+from .tools.click import click
+from .tools.search import search
 
 root_agent = Agent(
     model="gemini-2.5-flash",

python/agents/personalized-shopping/personalized_shopping/shared_libraries/search_engine/convert_product_file_format.py

@@ -14,11 +14,12 @@
 
 import json
 import sys
+
 from tqdm import tqdm
 
 sys.path.insert(0, "../")
 
-from web_agent_site.engine.engine import load_products
+from web_agent_site.engine.engine import load_products  # noqa: E402
 
 all_products, *_ = load_products(filepath="../data/items_shuffle.json")
 

python/agents/personalized-shopping/personalized_shopping/shared_libraries/web_agent_site/__init__.py

@@ -12,4 +12,4 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
-from .envs.web_agent_text_env import WebAgentTextEnv
+from .envs.web_agent_text_env import WebAgentTextEnv  # noqa: F401

python/agents/personalized-shopping/personalized_shopping/shared_libraries/web_agent_site/engine/engine.py

@@ -14,13 +14,13 @@
 
 """ """
 
-from ast import literal_eval
-from collections import defaultdict
-from decimal import Decimal
 import json
 import os
 import random
 import re
+from ast import literal_eval
+from collections import defaultdict
+from decimal import Decimal
 
 from flask import render_template_string
 from pyserini.search.lucene import LuceneSearcher

python/agents/personalized-shopping/personalized_shopping/shared_libraries/web_agent_site/engine/goal.py

@@ -14,12 +14,14 @@
 
 """Functions for specifying goals and reward calculations."""
 
-from collections import defaultdict
 import itertools
 import random
-from rich import print
+from collections import defaultdict
+
 import spacy
+from rich import print
 from thefuzz import fuzz
+
 from .normalize import normalize_color
 
 nlp = spacy.load("en_core_web_sm")

python/agents/personalized-shopping/personalized_shopping/shared_libraries/web_agent_site/envs/web_agent_text_env.py

@@ -12,18 +12,20 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
-from collections import defaultdict
 import json
 import random
 import string
 import time
+from collections import defaultdict
+
+import gym
+import numpy as np
+import torch
 from bs4 import BeautifulSoup
 from bs4.element import Comment
 from flask import Flask
-import gym
 from gym.envs.registration import register
-import numpy as np
-import torch
+
 from ..engine.engine import (
     ACTION_TO_TEMPLATE,
     BACK_TO_SEARCH,
@@ -45,7 +47,6 @@
     random_idx,
 )
 
-
 app = Flask(__name__)
 
 

python/agents/personalized-shopping/personalized_shopping/shared_libraries/web_agent_site/utils.py

@@ -15,8 +15,8 @@
 import bisect
 import hashlib
 import logging
-from os.path import abspath, dirname, join
 import random
+from os.path import abspath, dirname, join
 
 BASE_DIR = dirname(abspath(__file__))
 DEBUG_PROD_SIZE = None  # set to `None` to disable