Buckets:
| from __future__ import annotations | |
| import typing as t | |
| from contextvars import ContextVar | |
| from werkzeug.local import LocalProxy | |
| if t.TYPE_CHECKING: # pragma: no cover | |
| from .app import Flask | |
| from .ctx import _AppCtxGlobals | |
| from .ctx import AppContext | |
| from .ctx import RequestContext | |
| from .sessions import SessionMixin | |
| from .wrappers import Request | |
| _no_app_msg = """\ | |
| Working outside of application context. | |
| This typically means that you attempted to use functionality that needed | |
| the current application. To solve this, set up an application context | |
| with app.app_context(). See the documentation for more information.\ | |
| """ | |
| _cv_app: ContextVar[AppContext] = ContextVar("flask.app_ctx") | |
| app_ctx: AppContext = LocalProxy( # type: ignore[assignment] | |
| _cv_app, unbound_message=_no_app_msg | |
| ) | |
| current_app: Flask = LocalProxy( # type: ignore[assignment] | |
| _cv_app, "app", unbound_message=_no_app_msg | |
| ) | |
| g: _AppCtxGlobals = LocalProxy( # type: ignore[assignment] | |
| _cv_app, "g", unbound_message=_no_app_msg | |
| ) | |
| _no_req_msg = """\ | |
| Working outside of request context. | |
| This typically means that you attempted to use functionality that needed | |
| an active HTTP request. Consult the documentation on testing for | |
| information about how to avoid this problem.\ | |
| """ | |
| _cv_request: ContextVar[RequestContext] = ContextVar("flask.request_ctx") | |
| request_ctx: RequestContext = LocalProxy( # type: ignore[assignment] | |
| _cv_request, unbound_message=_no_req_msg | |
| ) | |
| request: Request = LocalProxy( # type: ignore[assignment] | |
| _cv_request, "request", unbound_message=_no_req_msg | |
| ) | |
| session: SessionMixin = LocalProxy( # type: ignore[assignment] | |
| _cv_request, "session", unbound_message=_no_req_msg | |
| ) | |
Xet Storage Details
- Size:
- 1.71 kB
- Xet hash:
- b81822eaa11665965c56c1a65c8a77213c3f2aa4c56332cb7fadf27987d7f686
·
Xet efficiently stores files, intelligently splitting them into unique chunks and accelerating uploads and downloads. More info.