forked from tensorflow/tensorboard
-
Notifications
You must be signed in to change notification settings - Fork 0
/
application.py
614 lines (540 loc) · 23.3 KB
/
application.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
507
508
509
510
511
512
513
514
515
516
517
518
519
520
521
522
523
524
525
526
527
528
529
530
531
532
533
534
535
536
537
538
539
540
541
542
543
544
545
546
547
548
549
550
551
552
553
554
555
556
557
558
559
560
561
562
563
564
565
566
567
568
569
570
571
572
573
574
575
576
577
578
579
580
581
582
583
584
585
586
587
588
589
590
591
592
593
594
595
596
597
598
599
600
601
602
603
604
605
606
607
608
609
610
611
612
613
614
# Copyright 2017 The TensorFlow Authors. 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.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License 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.
# ==============================================================================
"""TensorBoard WSGI Application Logic.
Provides TensorBoardWSGIApp for building a TensorBoard WSGI app.
"""
import base64
import collections
import hashlib
import io
import json
import re
import textwrap
import time
import zipfile
import six
from six.moves.urllib import (
parse as urlparse,
) # pylint: disable=wrong-import-order
from werkzeug import wrappers
from tensorboard import errors
from tensorboard import plugin_util
from tensorboard import auth
from tensorboard import context
from tensorboard.backend import empty_path_redirect
from tensorboard.backend import experiment_id
from tensorboard.backend import experimental_plugin
from tensorboard.backend import http_util
from tensorboard.backend import path_prefix
from tensorboard.backend import security_validator
from tensorboard.plugins import base_plugin
from tensorboard.plugins.core import core_plugin
from tensorboard.util import tb_logging
DATA_PREFIX = "/data"
PLUGIN_PREFIX = "/plugin"
PLUGINS_LISTING_ROUTE = "/plugins_listing"
PLUGIN_ENTRY_ROUTE = "/plugin_entry.html"
EXPERIMENTAL_PLUGINS_QUERY_PARAM = "experimentalPlugin"
# Slashes in a plugin name could throw the router for a loop. An empty
# name would be confusing, too. To be safe, let's restrict the valid
# names as follows.
_VALID_PLUGIN_RE = re.compile(r"^[A-Za-z0-9_-]+$")
logger = tb_logging.get_logger()
def TensorBoardWSGIApp(
flags,
plugins,
data_provider=None,
assets_zip_provider=None,
deprecated_multiplexer=None,
auth_providers=None,
experimental_middlewares=None,
):
"""Constructs a TensorBoard WSGI app from plugins and data providers.
Args:
flags: An argparse.Namespace containing TensorBoard CLI flags.
plugins: A list of plugins, which can be provided as TBPlugin subclasses
or TBLoader instances or subclasses.
data_provider: Instance of `tensorboard.data.provider.DataProvider`. May
be `None` if `flags.generic_data` is set to `"false"` in which case
`deprecated_multiplexer` must be passed instead.
assets_zip_provider: See TBContext documentation for more information. If
`None` a placeholder assets zipfile will be used containing only a
default `index.html` file, and the actual frontend assets must be
supplied by middleware wrapping this WSGI app.
deprecated_multiplexer: Optional `plugin_event_multiplexer.EventMultiplexer`
to use for any plugins not yet enabled for the DataProvider API.
Required if the data_provider argument is not passed.
auth_providers: Optional mapping whose values are `AuthProvider` values
and whose keys are used by (e.g.) data providers to specify
`AuthProvider`s via the `AuthContext.get` interface. Defaults to `{}`.
experimental_middlewares: Optional list of WSGI middlewares (i.e.,
callables that take a WSGI application and return a WSGI application)
to apply directly around the core TensorBoard app itself, "inside" the
request redirection machinery for `--path_prefix`, experiment IDs, etc.
You can use this to add handlers for additional routes. Middlewares are
applied in listed order, so the first element of this list is the
innermost application. Defaults to `[]`. This parameter is experimental
and may be reworked or removed.
Returns:
A WSGI application that implements the TensorBoard backend.
:type plugins: list[base_plugin.TBLoader]
"""
if assets_zip_provider is None:
assets_zip_provider = _placeholder_assets_zip_provider
plugin_name_to_instance = {}
context = base_plugin.TBContext(
data_provider=data_provider,
flags=flags,
logdir=flags.logdir,
multiplexer=deprecated_multiplexer,
assets_zip_provider=assets_zip_provider,
plugin_name_to_instance=plugin_name_to_instance,
sampling_hints=flags.samples_per_plugin,
window_title=flags.window_title,
)
tbplugins = []
experimental_plugins = []
for plugin_spec in plugins:
loader = make_plugin_loader(plugin_spec)
try:
plugin = loader.load(context)
except Exception:
logger.error(
"Failed to load plugin %s; ignoring it.",
getattr(loader.load, "__qualname__", loader.load),
exc_info=True,
)
plugin = None
if plugin is None:
continue
tbplugins.append(plugin)
if isinstance(
loader, experimental_plugin.ExperimentalPlugin
) or isinstance(plugin, experimental_plugin.ExperimentalPlugin):
experimental_plugins.append(plugin.plugin_name)
plugin_name_to_instance[plugin.plugin_name] = plugin
return TensorBoardWSGI(
tbplugins,
flags.path_prefix,
data_provider,
experimental_plugins,
auth_providers,
experimental_middlewares,
)
def make_plugin_loader(plugin_spec):
"""Returns a plugin loader for the given plugin.
Args:
plugin_spec: A TBPlugin subclass, or a TBLoader instance or subclass.
Returns:
A TBLoader for the given plugin.
:type plugin_spec:
Type[base_plugin.TBPlugin] | Type[base_plugin.TBLoader] |
base_plugin.TBLoader
:rtype: base_plugin.TBLoader
"""
if isinstance(plugin_spec, base_plugin.TBLoader):
return plugin_spec
if isinstance(plugin_spec, type):
if issubclass(plugin_spec, base_plugin.TBLoader):
return plugin_spec()
if issubclass(plugin_spec, base_plugin.TBPlugin):
return base_plugin.BasicLoader(plugin_spec)
raise TypeError("Not a TBLoader or TBPlugin subclass: %r" % (plugin_spec,))
class TensorBoardWSGI(object):
"""The TensorBoard WSGI app that delegates to a set of TBPlugin."""
def __init__(
self,
plugins,
path_prefix="",
data_provider=None,
experimental_plugins=None,
auth_providers=None,
experimental_middlewares=None,
):
"""Constructs TensorBoardWSGI instance.
Args:
plugins: A list of base_plugin.TBPlugin subclass instances.
flags: An argparse.Namespace containing TensorBoard CLI flags.
data_provider: `tensorboard.data.provider.DataProvider` or
`None`; if present, will inform the "active" state of
`/plugins_listing`.
experimental_plugins: A list of plugin names that are only provided
experimentally. The corresponding plugins will only be activated for
a user if the user has specified the plugin with the experimentalPlugin
query parameter in the URL.
auth_providers: Optional mapping whose values are `AuthProvider`
values and whose keys are used by (e.g.) data providers to specify
`AuthProvider`s via the `AuthContext.get` interface.
Defaults to `{}`.
experimental_middlewares: Optional list of WSGI middlewares to apply
directly around the core TensorBoard app itself. Defaults to `[]`.
This parameter is experimental and may be reworked or removed.
Returns:
A WSGI application for the set of all TBPlugin instances.
Raises:
ValueError: If some plugin has no plugin_name
ValueError: If some plugin has an invalid plugin_name (plugin
names must only contain [A-Za-z0-9_.-])
ValueError: If two plugins have the same plugin_name
ValueError: If some plugin handles a route that does not start
with a slash
:type plugins: list[base_plugin.TBPlugin]
"""
self._plugins = plugins
self._path_prefix = path_prefix
self._data_provider = data_provider
self._experimental_plugins = frozenset(experimental_plugins or ())
self._auth_providers = auth_providers or {}
self._extra_middlewares = list(experimental_middlewares or [])
if self._path_prefix.endswith("/"):
# Should have been fixed by `fix_flags`.
raise ValueError(
"Trailing slash in path prefix: %r" % self._path_prefix
)
self.exact_routes = {
# TODO(@chihuahua): Delete this RPC once we have skylark rules that
# obviate the need for the frontend to determine which plugins are
# active.
DATA_PREFIX + PLUGINS_LISTING_ROUTE: self._serve_plugins_listing,
DATA_PREFIX + PLUGIN_ENTRY_ROUTE: self._serve_plugin_entry,
}
unordered_prefix_routes = {}
# Serve the routes from the registered plugins using their name as the route
# prefix. For example if plugin z has two routes /a and /b, they will be
# served as /data/plugin/z/a and /data/plugin/z/b.
plugin_names_encountered = set()
for plugin in self._plugins:
if plugin.plugin_name is None:
raise ValueError("Plugin %s has no plugin_name" % plugin)
if not _VALID_PLUGIN_RE.match(plugin.plugin_name):
raise ValueError(
"Plugin %s has invalid name %r"
% (plugin, plugin.plugin_name)
)
if plugin.plugin_name in plugin_names_encountered:
raise ValueError(
"Duplicate plugins for name %s" % plugin.plugin_name
)
plugin_names_encountered.add(plugin.plugin_name)
try:
plugin_apps = plugin.get_plugin_apps()
except Exception as e: # pylint: disable=broad-except
if (
type(plugin) is core_plugin.CorePlugin
): # pylint: disable=unidiomatic-typecheck
raise
logger.warning(
"Plugin %s failed. Exception: %s",
plugin.plugin_name,
str(e),
)
continue
for route, app in plugin_apps.items():
if not route.startswith("/"):
raise ValueError(
"Plugin named %r handles invalid route %r: "
"route does not start with a slash"
% (plugin.plugin_name, route)
)
if (
type(plugin) is core_plugin.CorePlugin
): # pylint: disable=unidiomatic-typecheck
path = route
else:
path = (
DATA_PREFIX
+ PLUGIN_PREFIX
+ "/"
+ plugin.plugin_name
+ route
)
if path.endswith("/*"):
# Note we remove the '*' but leave the slash in place.
path = path[:-1]
if "*" in path:
# note we re-add the removed * in the format string
raise ValueError(
"Plugin %r handles invalid route '%s*': Only "
"trailing wildcards are supported "
"(i.e., `/.../*`)" % (plugin.plugin_name, path)
)
unordered_prefix_routes[path] = app
else:
if "*" in path:
raise ValueError(
"Plugin %r handles invalid route %r: Only "
"trailing wildcards are supported "
"(i.e., `/.../*`)" % (plugin.plugin_name, path)
)
self.exact_routes[path] = app
# Wildcard routes will be checked in the given order, so we sort them
# longest to shortest so that a more specific route will take precedence
# over a more general one (e.g., a catchall route `/*` should come last).
self.prefix_routes = collections.OrderedDict(
sorted(
six.iteritems(unordered_prefix_routes),
key=lambda x: len(x[0]),
reverse=True,
)
)
self._app = self._create_wsgi_app()
def _create_wsgi_app(self):
"""Apply middleware to create the final WSGI app."""
app = self._route_request
for middleware in self._extra_middlewares:
app = middleware(app)
app = _auth_context_middleware(app, self._auth_providers)
app = empty_path_redirect.EmptyPathRedirectMiddleware(app)
app = experiment_id.ExperimentIdMiddleware(app)
app = path_prefix.PathPrefixMiddleware(app, self._path_prefix)
app = security_validator.SecurityValidatorMiddleware(app)
app = _handling_errors(app)
return app
@wrappers.Request.application
def _serve_plugin_entry(self, request):
"""Serves a HTML for iframed plugin entry point.
Args:
request: The werkzeug.Request object.
Returns:
A werkzeug.Response object.
"""
name = request.args.get("name")
plugins = [
plugin for plugin in self._plugins if plugin.plugin_name == name
]
if not plugins:
raise errors.NotFoundError(name)
if len(plugins) > 1:
# Technically is not possible as plugin names are unique and is checked
# by the check on __init__.
reason = (
"Plugin invariant error: multiple plugins with name "
"{name} found: {list}"
).format(name=name, list=plugins)
raise AssertionError(reason)
plugin = plugins[0]
module_path = plugin.frontend_metadata().es_module_path
if not module_path:
return http_util.Respond(
request, "Plugin is not module loadable", "text/plain", code=400
)
# non-self origin is blocked by CSP but this is a good invariant checking.
if urlparse.urlparse(module_path).netloc:
raise ValueError("Expected es_module_path to be non-absolute path")
module_json = json.dumps("." + module_path)
script_content = "import({}).then((m) => void m.render());".format(
module_json
)
digest = hashlib.sha256(script_content.encode("utf-8")).digest()
script_sha = base64.b64encode(digest).decode("ascii")
html = textwrap.dedent(
"""
<!DOCTYPE html>
<head><base href="plugin/{name}/" /></head>
<body><script type="module">{script_content}</script></body>
"""
).format(name=name, script_content=script_content)
return http_util.Respond(
request, html, "text/html", csp_scripts_sha256s=[script_sha],
)
@wrappers.Request.application
def _serve_plugins_listing(self, request):
"""Serves an object mapping plugin name to whether it is enabled.
Args:
request: The werkzeug.Request object.
Returns:
A werkzeug.Response object.
"""
response = collections.OrderedDict()
ctx = plugin_util.context(request.environ)
eid = plugin_util.experiment_id(request.environ)
plugins_with_data = frozenset(
self._data_provider.list_plugins(ctx, experiment_id=eid)
or frozenset()
if self._data_provider is not None
else frozenset()
)
plugins_to_skip = self._experimental_plugins - frozenset(
request.args.getlist(EXPERIMENTAL_PLUGINS_QUERY_PARAM)
)
for plugin in self._plugins:
if plugin.plugin_name in plugins_to_skip:
continue
if (
type(plugin) is core_plugin.CorePlugin
): # pylint: disable=unidiomatic-typecheck
# This plugin's existence is a backend implementation detail.
continue
is_active = bool(
frozenset(plugin.data_plugin_names()) & plugins_with_data
)
if not is_active:
try:
start = time.time()
is_active = plugin.is_active()
elapsed = time.time() - start
logger.info(
"Plugin listing: is_active() for %s took %0.3f seconds",
plugin.plugin_name,
elapsed,
)
except Exception:
is_active = False
logger.error(
"Plugin listing: is_active() for %s failed (marking inactive)",
plugin.plugin_name,
exc_info=True,
)
plugin_metadata = plugin.frontend_metadata()
output_metadata = {
"disable_reload": plugin_metadata.disable_reload,
"enabled": is_active,
# loading_mechanism set below
"remove_dom": plugin_metadata.remove_dom,
# tab_name set below
}
if plugin_metadata.tab_name is not None:
output_metadata["tab_name"] = plugin_metadata.tab_name
else:
output_metadata["tab_name"] = plugin.plugin_name
es_module_handler = plugin_metadata.es_module_path
element_name = plugin_metadata.element_name
is_ng_component = plugin_metadata.is_ng_component
if is_ng_component:
if element_name is not None:
raise ValueError(
"Plugin %r declared as both Angular built-in and legacy"
% plugin.plugin_name
)
if es_module_handler is not None:
raise ValueError(
"Plugin %r declared as both Angular built-in and iframed"
% plugin.plugin_name
)
loading_mechanism = {
"type": "NG_COMPONENT",
}
elif element_name is not None and es_module_handler is not None:
logger.error(
"Plugin %r declared as both legacy and iframed; skipping",
plugin.plugin_name,
)
continue
elif element_name is not None and es_module_handler is None:
loading_mechanism = {
"type": "CUSTOM_ELEMENT",
"element_name": element_name,
}
elif element_name is None and es_module_handler is not None:
loading_mechanism = {
"type": "IFRAME",
"module_path": "".join(
[
request.script_root,
DATA_PREFIX,
PLUGIN_PREFIX,
"/",
plugin.plugin_name,
es_module_handler,
]
),
}
else:
# As a compatibility measure (for plugins that we don't
# control), we'll pull it from the frontend registry for now.
loading_mechanism = {
"type": "NONE",
}
output_metadata["loading_mechanism"] = loading_mechanism
response[plugin.plugin_name] = output_metadata
return http_util.Respond(request, response, "application/json")
def __call__(self, environ, start_response):
"""Central entry point for the TensorBoard application.
This __call__ method conforms to the WSGI spec, so that instances of this
class are WSGI applications.
Args:
environ: See WSGI spec (PEP 3333).
start_response: See WSGI spec (PEP 3333).
"""
return self._app(environ, start_response)
def _route_request(self, environ, start_response):
"""Delegate an incoming request to sub-applications.
This method supports strict string matching and wildcard routes of a
single path component, such as `/foo/*`. Other routing patterns,
like regular expressions, are not supported.
This is the main TensorBoard entry point before middleware is
applied. (See `_create_wsgi_app`.)
Args:
environ: See WSGI spec (PEP 3333).
start_response: See WSGI spec (PEP 3333).
"""
request = wrappers.Request(environ)
parsed_url = urlparse.urlparse(request.path)
clean_path = _clean_path(parsed_url.path)
# pylint: disable=too-many-function-args
if clean_path in self.exact_routes:
return self.exact_routes[clean_path](environ, start_response)
else:
for path_prefix in self.prefix_routes:
if clean_path.startswith(path_prefix):
return self.prefix_routes[path_prefix](
environ, start_response
)
logger.warning("path %s not found, sending 404", clean_path)
return http_util.Respond(
request, "Not found", "text/plain", code=404
)(environ, start_response)
# pylint: enable=too-many-function-args
def _handling_errors(wsgi_app):
def wrapper(environ, start_response):
try:
return wsgi_app(environ, start_response)
except errors.PublicError as e:
request = wrappers.Request(environ)
error_app = http_util.Respond(
request,
str(e),
"text/plain",
code=e.http_code,
headers=e.headers,
)
return error_app(environ, start_response)
# Let other exceptions be handled by the server, as an opaque
# internal server error.
return wrapper
def _auth_context_middleware(wsgi_app, auth_providers):
def wrapper(environ, start_response):
environ = dict(environ)
auth_ctx = auth.AuthContext(auth_providers, environ)
ctx = context.from_environ(environ).replace(auth=auth_ctx)
context.set_in_environ(environ, ctx)
return wsgi_app(environ, start_response)
return wrapper
def _clean_path(path):
"""Removes a trailing slash from a non-root path.
Arguments:
path: The path of a request.
Returns:
The route to use to serve the request.
"""
if path != "/" and path.endswith("/"):
return path[:-1]
return path
def _placeholder_assets_zip_provider():
"""Defines a default assets zip provider containing a dummy index.html."""
memfile = io.BytesIO()
with zipfile.ZipFile(memfile, mode="w") as zf:
zf.writestr("index.html", "TensorBoard placeholder index.html")
return memfile