ai_v/venv/Lib/site-packages/botocore/loaders.py

526 lines
18 KiB
Python
Raw Normal View History

feat(api): 实现图像生成及后台同步功能 - 新增图像生成接口,支持试用、积分和自定义API Key模式 - 实现生成图片结果异步上传至MinIO存储,带重试机制 - 优化积分预扣除和异常退还逻辑,保障用户积分准确 - 添加获取生成历史记录接口,支持时间范围和分页 - 提供本地字典配置接口,支持模型、比例、提示模板和尺寸 - 实现图片批量上传接口,支持S3兼容对象存储 feat(admin): 增加管理员角色管理与权限分配接口 - 实现角色列表查询、角色创建、更新及删除功能 - 增加权限列表查询接口 - 实现用户角色分配接口,便于统一管理用户权限 - 增加系统字典增删查改接口,支持分类过滤和排序 - 权限控制全面覆盖管理接口,保证安全访问 feat(auth): 完善用户登录注册及权限相关接口与页面 - 实现手机号验证码发送及校验功能,保障注册安全 - 支持手机号注册、登录及退出接口,集成日志记录 - 增加修改密码功能,验证原密码后更新 - 提供动态导航菜单接口,基于权限展示不同菜单 - 实现管理界面路由及日志、角色、字典管理页面访问权限控制 - 添加系统日志查询接口,支持关键词和等级筛选 feat(app): 初始化Flask应用并配置蓝图与数据库 - 创建应用程序工厂,加载配置,初始化数据库和Redis客户端 - 注册认证、API及管理员蓝图,整合路由 - 根路由渲染主页模板 - 应用上下文中自动创建数据库表,保证运行环境准备完毕 feat(database): 提供数据库创建与迁移支持脚本 - 新增数据库创建脚本,支持自动检测是否已存在 - 添加数据库表初始化脚本,支持创建和删除所有表 - 实现RBAC权限初始化,包含基础权限和角色创建 - 新增字段手动修复脚本,添加用户API Key和积分字段 - 强制迁移脚本支持清理连接和修复表结构,初始化默认数据及角色分配 feat(config): 新增系统配置参数 - 配置数据库、Redis、Session和MinIO相关参数 - 添加AI接口地址及试用Key配置 - 集成阿里云短信服务配置及开发模式相关参数 feat(extensions): 初始化数据库、Redis和MinIO客户端 - 创建全局SQLAlchemy数据库实例和Redis客户端 - 配置基于boto3的MinIO兼容S3客户端 chore(logs): 添加示例系统日志文件 - 记录用户请求、验证码发送成功与失败的日志信息
2026-01-12 00:53:31 +08:00
# Copyright 2012-2015 Amazon.com, Inc. or its affiliates. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"). You
# may not use this file except in compliance with the License. A copy of
# the License is located at
#
# http://aws.amazon.com/apache2.0/
#
# or in the "license" file accompanying this file. This file is
# distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF
# ANY KIND, either express or implied. See the License for the specific
# language governing permissions and limitations under the License.
"""Module for loading various model files.
This module provides the classes that are used to load models used
by botocore. This can include:
* Service models (e.g. the model for EC2, S3, DynamoDB, etc.)
* Service model extras which customize the service models
* Other models associated with a service (pagination, waiters)
* Non service-specific config (Endpoint data, retry config)
Loading a module is broken down into several steps:
* Determining the path to load
* Search the data_path for files to load
* The mechanics of loading the file
* Searching for extras and applying them to the loaded file
The last item is used so that other faster loading mechanism
besides the default JSON loader can be used.
The Search Path
===============
Similar to how the PATH environment variable is to finding executables
and the PYTHONPATH environment variable is to finding python modules
to import, the botocore loaders have the concept of a data path exposed
through AWS_DATA_PATH.
This enables end users to provide additional search paths where we
will attempt to load models outside of the models we ship with
botocore. When you create a ``Loader``, there are two paths
automatically added to the model search path:
* <botocore root>/data/
* ~/.aws/models
The first value is the path where all the model files shipped with
botocore are located.
The second path is so that users can just drop new model files in
``~/.aws/models`` without having to mess around with the AWS_DATA_PATH.
The AWS_DATA_PATH using the platform specific path separator to
separate entries (typically ``:`` on linux and ``;`` on windows).
Directory Layout
================
The Loader expects a particular directory layout. In order for any
directory specified in AWS_DATA_PATH to be considered, it must have
this structure for service models::
<root>
|
|-- servicename1
| |-- 2012-10-25
| |-- service-2.json
|-- ec2
| |-- 2014-01-01
| | |-- paginators-1.json
| | |-- service-2.json
| | |-- waiters-2.json
| |-- 2015-03-01
| |-- paginators-1.json
| |-- service-2.json
| |-- waiters-2.json
| |-- service-2.sdk-extras.json
That is:
* The root directory contains sub directories that are the name
of the services.
* Within each service directory, there's a sub directory for each
available API version.
* Within each API version, there are model specific files, including
(but not limited to): service-2.json, waiters-2.json, paginators-1.json
The ``-1`` and ``-2`` suffix at the end of the model files denote which version
schema is used within the model. Even though this information is available in
the ``version`` key within the model, this version is also part of the filename
so that code does not need to load the JSON model in order to determine which
version to use.
The ``sdk-extras`` and similar files represent extra data that needs to be
applied to the model after it is loaded. Data in these files might represent
information that doesn't quite fit in the original models, but is still needed
for the sdk. For instance, additional operation parameters might be added here
which don't represent the actual service api.
"""
import logging
import os
from botocore import BOTOCORE_ROOT
from botocore.compat import HAS_GZIP, OrderedDict, json
from botocore.exceptions import DataNotFoundError, UnknownServiceError
from botocore.utils import deep_merge
_JSON_OPEN_METHODS = {
'.json': open,
}
if HAS_GZIP:
from gzip import open as gzip_open
_JSON_OPEN_METHODS['.json.gz'] = gzip_open
logger = logging.getLogger(__name__)
def instance_cache(func):
"""Cache the result of a method on a per instance basis.
This is not a general purpose caching decorator. In order
for this to be used, it must be used on methods on an
instance, and that instance *must* provide a
``self._cache`` dictionary.
"""
def _wrapper(self, *args, **kwargs):
key = (func.__name__,) + args
for pair in sorted(kwargs.items()):
key += pair
if key in self._cache:
return self._cache[key]
data = func(self, *args, **kwargs)
self._cache[key] = data
return data
return _wrapper
class JSONFileLoader:
"""Loader JSON files.
This class can load the default format of models, which is a JSON file.
"""
def exists(self, file_path):
"""Checks if the file exists.
:type file_path: str
:param file_path: The full path to the file to load without
the '.json' extension.
:return: True if file path exists, False otherwise.
"""
for ext in _JSON_OPEN_METHODS:
if os.path.isfile(file_path + ext):
return True
return False
def _load_file(self, full_path, open_method):
if not os.path.isfile(full_path):
return
# By default the file will be opened with locale encoding on Python 3.
# We specify "utf8" here to ensure the correct behavior.
with open_method(full_path, 'rb') as fp:
payload = fp.read().decode('utf-8')
logger.debug("Loading JSON file: %s", full_path)
return json.loads(payload, object_pairs_hook=OrderedDict)
def load_file(self, file_path):
"""Attempt to load the file path.
:type file_path: str
:param file_path: The full path to the file to load without
the '.json' extension.
:return: The loaded data if it exists, otherwise None.
"""
for ext, open_method in _JSON_OPEN_METHODS.items():
data = self._load_file(file_path + ext, open_method)
if data is not None:
return data
return None
def create_loader(search_path_string=None):
"""Create a Loader class.
This factory function creates a loader given a search string path.
:type search_string_path: str
:param search_string_path: The AWS_DATA_PATH value. A string
of data path values separated by the ``os.path.pathsep`` value,
which is typically ``:`` on POSIX platforms and ``;`` on
windows.
:return: A ``Loader`` instance.
"""
if search_path_string is None:
return Loader()
paths = []
extra_paths = search_path_string.split(os.pathsep)
for path in extra_paths:
path = os.path.expanduser(os.path.expandvars(path))
paths.append(path)
return Loader(extra_search_paths=paths)
class Loader:
"""Find and load data models.
This class will handle searching for and loading data models.
The main method used here is ``load_service_model``, which is a
convenience method over ``load_data`` and ``determine_latest_version``.
"""
FILE_LOADER_CLASS = JSONFileLoader
# The included models in botocore/data/ that we ship with botocore.
BUILTIN_DATA_PATH = os.path.join(BOTOCORE_ROOT, 'data')
# For convenience we automatically add ~/.aws/models to the data path.
CUSTOMER_DATA_PATH = os.path.join(
os.path.expanduser('~'), '.aws', 'models'
)
BUILTIN_EXTRAS_TYPES = ['sdk']
def __init__(
self,
extra_search_paths=None,
file_loader=None,
cache=None,
include_default_search_paths=True,
include_default_extras=True,
):
self._cache = {}
if file_loader is None:
file_loader = self.FILE_LOADER_CLASS()
self.file_loader = file_loader
if extra_search_paths is not None:
self._search_paths = extra_search_paths
else:
self._search_paths = []
if include_default_search_paths:
self._search_paths.extend(
[self.CUSTOMER_DATA_PATH, self.BUILTIN_DATA_PATH]
)
self._extras_types = []
if include_default_extras:
self._extras_types.extend(self.BUILTIN_EXTRAS_TYPES)
self._extras_processor = ExtrasProcessor()
@property
def search_paths(self):
return self._search_paths
@property
def extras_types(self):
return self._extras_types
@instance_cache
def list_available_services(self, type_name):
"""List all known services.
This will traverse the search path and look for all known
services.
:type type_name: str
:param type_name: The type of the service (service-2,
paginators-1, waiters-2, etc). This is needed because
the list of available services depends on the service
type. For example, the latest API version available for
a resource-1.json file may not be the latest API version
available for a services-2.json file.
:return: A list of all services. The list of services will
be sorted.
"""
services = set()
for possible_path in self._potential_locations():
# Any directory in the search path is potentially a service.
# We'll collect any initial list of potential services,
# but we'll then need to further process these directories
# by searching for the corresponding type_name in each
# potential directory.
possible_services = [
d
for d in os.listdir(possible_path)
if os.path.isdir(os.path.join(possible_path, d))
]
for service_name in possible_services:
full_dirname = os.path.join(possible_path, service_name)
api_versions = os.listdir(full_dirname)
for api_version in api_versions:
full_load_path = os.path.join(
full_dirname, api_version, type_name
)
if self.file_loader.exists(full_load_path):
services.add(service_name)
break
return sorted(services)
@instance_cache
def determine_latest_version(self, service_name, type_name):
"""Find the latest API version available for a service.
:type service_name: str
:param service_name: The name of the service.
:type type_name: str
:param type_name: The type of the service (service-2,
paginators-1, waiters-2, etc). This is needed because
the latest API version available can depend on the service
type. For example, the latest API version available for
a resource-1.json file may not be the latest API version
available for a services-2.json file.
:rtype: str
:return: The latest API version. If the service does not exist
or does not have any available API data, then a
``DataNotFoundError`` exception will be raised.
"""
return max(self.list_api_versions(service_name, type_name))
@instance_cache
def list_api_versions(self, service_name, type_name):
"""List all API versions available for a particular service type
:type service_name: str
:param service_name: The name of the service
:type type_name: str
:param type_name: The type name for the service (i.e service-2,
paginators-1, etc.)
:rtype: list
:return: A list of API version strings in sorted order.
"""
known_api_versions = set()
for possible_path in self._potential_locations(
service_name, must_exist=True, is_dir=True
):
for dirname in os.listdir(possible_path):
full_path = os.path.join(possible_path, dirname, type_name)
# Only add to the known_api_versions if the directory
# contains a service-2, paginators-1, etc. file corresponding
# to the type_name passed in.
if self.file_loader.exists(full_path):
known_api_versions.add(dirname)
if not known_api_versions:
raise DataNotFoundError(data_path=service_name)
return sorted(known_api_versions)
@instance_cache
def load_service_model(self, service_name, type_name, api_version=None):
"""Load a botocore service model
This is the main method for loading botocore models (e.g. a service
model, pagination configs, waiter configs, etc.).
:type service_name: str
:param service_name: The name of the service (e.g ``ec2``, ``s3``).
:type type_name: str
:param type_name: The model type. Valid types include, but are not
limited to: ``service-2``, ``paginators-1``, ``waiters-2``.
:type api_version: str
:param api_version: The API version to load. If this is not
provided, then the latest API version will be used.
:type load_extras: bool
:param load_extras: Whether or not to load the tool extras which
contain additional data to be added to the model.
:raises: UnknownServiceError if there is no known service with
the provided service_name.
:raises: DataNotFoundError if no data could be found for the
service_name/type_name/api_version.
:return: The loaded data, as a python type (e.g. dict, list, etc).
"""
# Wrapper around the load_data. This will calculate the path
# to call load_data with.
known_services = self.list_available_services(type_name)
if service_name not in known_services:
raise UnknownServiceError(
service_name=service_name,
known_service_names=', '.join(sorted(known_services)),
)
if api_version is None:
api_version = self.determine_latest_version(
service_name, type_name
)
full_path = os.path.join(service_name, api_version, type_name)
model = self.load_data(full_path)
# Load in all the extras
extras_data = self._find_extras(service_name, type_name, api_version)
self._extras_processor.process(model, extras_data)
return model
def _find_extras(self, service_name, type_name, api_version):
"""Creates an iterator over all the extras data."""
for extras_type in self.extras_types:
extras_name = f'{type_name}.{extras_type}-extras'
full_path = os.path.join(service_name, api_version, extras_name)
try:
yield self.load_data(full_path)
except DataNotFoundError:
pass
@instance_cache
def load_data_with_path(self, name):
"""Same as ``load_data`` but returns file path as second return value.
:type name: str
:param name: The data path, i.e ``ec2/2015-03-01/service-2``.
:return: Tuple of the loaded data and the path to the data file
where the data was loaded from. If no data could be found then a
DataNotFoundError is raised.
"""
for possible_path in self._potential_locations(name):
found = self.file_loader.load_file(possible_path)
if found is not None:
return found, possible_path
# We didn't find anything that matched on any path.
raise DataNotFoundError(data_path=name)
def load_data(self, name):
"""Load data given a data path.
This is a low level method that will search through the various
search paths until it's able to load a value. This is typically
only needed to load *non* model files (such as _endpoints and
_retry). If you need to load model files, you should prefer
``load_service_model``. Use ``load_data_with_path`` to get the
data path of the data file as second return value.
:type name: str
:param name: The data path, i.e ``ec2/2015-03-01/service-2``.
:return: The loaded data. If no data could be found then
a DataNotFoundError is raised.
"""
data, _ = self.load_data_with_path(name)
return data
def _potential_locations(self, name=None, must_exist=False, is_dir=False):
# Will give an iterator over the full path of potential locations
# according to the search path.
for path in self.search_paths:
if os.path.isdir(path):
full_path = path
if name is not None:
full_path = os.path.join(path, name)
if not must_exist:
yield full_path
else:
if is_dir and os.path.isdir(full_path):
yield full_path
elif os.path.exists(full_path):
yield full_path
def is_builtin_path(self, path):
"""Whether a given path is within the package's data directory.
This method can be used together with load_data_with_path(name)
to determine if data has been loaded from a file bundled with the
package, as opposed to a file in a separate location.
:type path: str
:param path: The file path to check.
:return: Whether the given path is within the package's data directory.
"""
path = os.path.expanduser(os.path.expandvars(path))
return path.startswith(self.BUILTIN_DATA_PATH)
class ExtrasProcessor:
"""Processes data from extras files into service models."""
def process(self, original_model, extra_models):
"""Processes data from a list of loaded extras files into a model
:type original_model: dict
:param original_model: The service model to load all the extras into.
:type extra_models: iterable of dict
:param extra_models: A list of loaded extras models.
"""
for extras in extra_models:
self._process(original_model, extras)
def _process(self, model, extra_model):
"""Process a single extras model into a service model."""
if 'merge' in extra_model:
deep_merge(model, extra_model['merge'])