forked from opendatahub-io/notebooks
-
Notifications
You must be signed in to change notification settings - Fork 5
/
Makefile
595 lines (513 loc) · 26.4 KB
/
Makefile
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
IMAGE_REGISTRY ?= quay.io/opendatahub/workbench-images
RELEASE ?= 2024a
# additional user-specified caching parameters for $(CONTAINER_ENGINE) build
CONTAINER_BUILD_CACHE_ARGS ?= --no-cache
# OS dependant: Generate date, select appropriate cmd to locate container engine
ifeq ($(OS), Windows_NT)
DATE ?= $(shell powershell -Command "Get-Date -Format 'yyyyMMdd'")
WHERE_WHICH ?= where
else
DATE ?= $(shell date +'%Y%m%d')
WHERE_WHICH ?= which
endif
IMAGE_TAG ?= $(RELEASE)_$(DATE)
KUBECTL_BIN ?= bin/kubectl
KUBECTL_VERSION ?= v1.23.11
NOTEBOOK_REPO_BRANCH_BASE ?= https://raw.githubusercontent.com/opendatahub-io/notebooks/main
REQUIRED_RUNTIME_IMAGE_COMMANDS="curl python3"
REQUIRED_CODE_SERVER_IMAGE_COMMANDS="curl python oc code-server"
REQUIRED_R_STUDIO_IMAGE_COMMANDS="curl python oc /usr/lib/rstudio-server/bin/rserver"
# Detect and select the system's available container engine
ifeq (, $(shell $(WHERE_WHICH) podman))
DOCKER := $(shell $(WHERE_WHICH) docker)
ifeq (, $(DOCKER))
$(error "Neither Docker nor Podman is installed. Please install one of them.")
endif
CONTAINER_ENGINE := docker
else
CONTAINER_ENGINE := podman
endif
# Build function for the notebok image:
# ARG 1: Image tag name.
# ARG 2: Path of image context we want to build.
# ARG 3: Base image tag name (optional).
define build_image
$(eval IMAGE_NAME := $(IMAGE_REGISTRY):$(1)-$(IMAGE_TAG))
$(info # Building $(IMAGE_NAME) image...)
$(if $(3),
$(eval BASE_IMAGE_NAME := $(IMAGE_REGISTRY):$(3)-$(IMAGE_TAG))
$(eval BUILD_ARGS := --build-arg BASE_IMAGE=$(BASE_IMAGE_NAME)),
$(eval BUILD_ARGS :=)
)
$(CONTAINER_ENGINE) build $(CONTAINER_BUILD_CACHE_ARGS) -t $(IMAGE_NAME) $(BUILD_ARGS) $(2)
endef
# Push function for the notebok image:
# ARG 1: Path of image context we want to build.
define push_image
$(eval IMAGE_NAME := $(IMAGE_REGISTRY):$(subst /,-,$(1))-$(IMAGE_TAG))
$(info # Pushing $(IMAGE_NAME) image...)
$(CONTAINER_ENGINE) push $(IMAGE_NAME)
endef
# Build and push the notebook images:
# ARG 1: Image tag name.
# ARG 2: Path of image context we want to build.
# ARG 3: Base image tag name (optional).
define image
$(info #*# Image build directory: <$(2)> #(MACHINE-PARSED LINE)#*#...)
$(call build_image,$(1),$(2),$(3))
$(call push_image,$(1))
endef
####################################### Buildchain for Python 3.8 using ubi8 #######################################
# Build and push base-ubi8-python-3.8 image to the registry
.PHONY: base-ubi8-python-3.8
base-ubi8-python-3.8:
$(call image,$@,base/ubi8-python-3.8)
# Build and push jupyter-minimal-ubi8-python-3.8 image to the registry
.PHONY: jupyter-minimal-ubi8-python-3.8
jupyter-minimal-ubi8-python-3.8: base-ubi8-python-3.8
$(call image,$@,jupyter/minimal/ubi8-python-3.8,$<)
# Build and push jupyter-datascience-ubi8-python-3.8 image to the registry
.PHONY: jupyter-datascience-ubi8-python-3.8
jupyter-datascience-ubi8-python-3.8: jupyter-minimal-ubi8-python-3.8
$(call image,$@,jupyter/datascience/ubi8-python-3.8,$<)
# Build and push cuda-ubi8-python-3.8 image to the registry
.PHONY: cuda-ubi8-python-3.8
cuda-ubi8-python-3.8: base-ubi8-python-3.8
$(eval $(call generate_image_tag,IMAGE_TAG))
$(call image,$@,cuda/ubi8-python-3.8,$<)
# Build and push cuda-jupyter-minimal-ubi8-python-3.8 image to the registry
.PHONY: cuda-jupyter-minimal-ubi8-python-3.8
cuda-jupyter-minimal-ubi8-python-3.8: cuda-ubi8-python-3.8
$(call image,$@,jupyter/minimal/ubi8-python-3.8,$<)
# Build and push cuda-jupyter-datascience-ubi8-python-3.8 image to the registry
.PHONY: cuda-jupyter-datascience-ubi8-python-3.8
cuda-jupyter-datascience-ubi8-python-3.8: cuda-jupyter-minimal-ubi8-python-3.8
$(call image,$@,jupyter/datascience/ubi8-python-3.8,$<)
# Build and push habana-jupyter-1.10.0-ubi8-python-3.8 image to the registry
.PHONY: habana-jupyter-1.10.0-ubi8-python-3.8
habana-jupyter-1.10.0-ubi8-python-3.8: jupyter-datascience-ubi8-python-3.8
$(call image,$@,habana/1.10.0/ubi8-python-3.8,$<)
# Build and push habana-jupyter-1.13.0-ubi8-python-3.8 image to the registry
.PHONY: habana-jupyter-1.13.0-ubi8-python-3.8
habana-jupyter-1.13.0-ubi8-python-3.8: jupyter-datascience-ubi8-python-3.8
$(call image,$@,habana/1.13.0/ubi8-python-3.8,$<)
# Build and push runtime-minimal-ubi8-python-3.8 image to the registry
.PHONY: runtime-minimal-ubi8-python-3.8
runtime-minimal-ubi8-python-3.8: base-ubi8-python-3.8
$(call image,$@,runtimes/minimal/ubi8-python-3.8,$<)
# Build and push runtime-datascience-ubi8-python-3.8 image to the registry
.PHONY: runtime-datascience-ubi8-python-3.8
runtime-datascience-ubi8-python-3.8: base-ubi8-python-3.8
$(call image,$@,runtimes/datascience/ubi8-python-3.8,$<)
# Build and push runtime-pytorch-ubi8-python-3.8 image to the registry
.PHONY: runtime-pytorch-ubi8-python-3.8
runtime-pytorch-ubi8-python-3.8: base-ubi8-python-3.8
$(call image,$@,runtimes/pytorch/ubi8-python-3.8,$<)
# Build and push runtime-cuda-tensorflow-ubi8-python-3.8 image to the registry
.PHONY: runtime-cuda-tensorflow-ubi8-python-3.8
runtime-cuda-tensorflow-ubi8-python-3.8: cuda-ubi8-python-3.8
$(call image,$@,runtimes/tensorflow/ubi8-python-3.8,$<)
####################################### Buildchain for Python 3.9 using ubi9 #######################################
# Build and push base-ubi9-python-3.9 image to the registry
.PHONY: base-ubi9-python-3.9
base-ubi9-python-3.9:
$(call image,$@,base/ubi9-python-3.9)
# Build and push jupyter-minimal-ubi9-python-3.9 image to the registry
.PHONY: jupyter-minimal-ubi9-python-3.9
jupyter-minimal-ubi9-python-3.9: base-ubi9-python-3.9
$(call image,$@,jupyter/minimal/ubi9-python-3.9,$<)
# Build and push jupyter-datascience-ubi9-python-3.9 image to the registry
.PHONY: jupyter-datascience-ubi9-python-3.9
jupyter-datascience-ubi9-python-3.9: jupyter-minimal-ubi9-python-3.9
$(call image,$@,jupyter/datascience/ubi9-python-3.9,$<)
# Build and push cuda-ubi9-python-3.9 image to the registry
.PHONY: cuda-ubi9-python-3.9
cuda-ubi9-python-3.9: base-ubi9-python-3.9
$(call image,$@,cuda/ubi9-python-3.9,$<)
# Build and push cuda-jupyter-minimal-ubi9-python-3.9 image to the registry
.PHONY: cuda-jupyter-minimal-ubi9-python-3.9
cuda-jupyter-minimal-ubi9-python-3.9: cuda-ubi9-python-3.9
$(call image,$@,jupyter/minimal/ubi9-python-3.9,$<)
# Build and push cuda-jupyter-datascience-ubi9-python-3.9 image to the registry
.PHONY: cuda-jupyter-datascience-ubi9-python-3.9
cuda-jupyter-datascience-ubi9-python-3.9: cuda-jupyter-minimal-ubi9-python-3.9
$(call image,$@,jupyter/datascience/ubi9-python-3.9,$<)
# Build and push cuda-jupyter-tensorflow-ubi9-python-3.9 image to the registry
.PHONY: cuda-jupyter-tensorflow-ubi9-python-3.9
cuda-jupyter-tensorflow-ubi9-python-3.9: cuda-jupyter-datascience-ubi9-python-3.9
$(call image,$@,jupyter/tensorflow/ubi9-python-3.9,$<)
# Build and push jupyter-pytorch-ubi9-python-3.9 image to the registry
.PHONY: jupyter-pytorch-ubi9-python-3.9
jupyter-pytorch-ubi9-python-3.9: cuda-jupyter-datascience-ubi9-python-3.9
$(call image,$@,jupyter/pytorch/ubi9-python-3.9,$<)
# Build and push jupyter-trustyai-ubi9-python-3.9 image to the registry
.PHONY: jupyter-trustyai-ubi9-python-3.9
jupyter-trustyai-ubi9-python-3.9: jupyter-datascience-ubi9-python-3.9
$(call image,$@,jupyter/trustyai/ubi9-python-3.9,$<)
# Build and push runtime-minimal-ubi9-python-3.9 image to the registry
.PHONY: runtime-minimal-ubi9-python-3.9
runtime-minimal-ubi9-python-3.9: base-ubi9-python-3.9
$(call image,$@,runtimes/minimal/ubi9-python-3.9,$<)
# Build and push runtime-datascience-ubi9-python-3.9 image to the registry
.PHONY: runtime-datascience-ubi9-python-3.9
runtime-datascience-ubi9-python-3.9: base-ubi9-python-3.9
$(call image,$@,runtimes/datascience/ubi9-python-3.9,$<)
# Build and push runtime-pytorch-ubi9-python-3.9 image to the registry
.PHONY: runtime-pytorch-ubi9-python-3.9
runtime-pytorch-ubi9-python-3.9: base-ubi9-python-3.9
$(call image,$@,runtimes/pytorch/ubi9-python-3.9,$<)
# Build and push runtime-cuda-tensorflow-ubi9-python-3.9 image to the registry
.PHONY: runtime-cuda-tensorflow-ubi9-python-3.9
runtime-cuda-tensorflow-ubi9-python-3.9: cuda-ubi9-python-3.9
$(call image,$@,runtimes/tensorflow/ubi9-python-3.9,$<)
.PHONY: codeserver-ubi9-python-3.9
codeserver-ubi9-python-3.9: base-ubi9-python-3.9
$(call image,$@,codeserver/ubi9-python-3.9,$<)
# Build and push base-anaconda-python-3.9-intel-gpu image to the registry
.PHONY: intel-base-gpu-ubi9-python-3.9
intel-base-gpu-ubi9-python-3.9: base-ubi9-python-3.9
$(call image,$@,intel/base/gpu/ubi9-python-3.9,$<)
# Build and push intel-runtime-tensorflow-ubi9-python-3.9 image to the registry
.PHONY: intel-runtime-tensorflow-ubi9-python-3.9
intel-runtime-tensorflow-ubi9-python-3.9: intel-base-gpu-ubi9-python-3.9
$(call image,$@,intel/runtimes/tensorflow/ubi9-python-3.9,$<)
# Build and push jupyter-intel-tensorflow-ubi9-python-3.9 image to the registry
.PHONY: jupyter-intel-tensorflow-ubi9-python-3.9
jupyter-intel-tensorflow-ubi9-python-3.9: intel-base-gpu-ubi9-python-3.9
$(call image,$@,jupyter/intel/tensorflow/ubi9-python-3.9,$<)
# Build and push intel-runtime-pytorch-ubi9-python-3.9 image to the registry
.PHONY: intel-runtime-pytorch-ubi9-python-3.9
intel-runtime-pytorch-ubi9-python-3.9: intel-base-gpu-ubi9-python-3.9
$(call image,$@,intel/runtimes/pytorch/ubi9-python-3.9,$<)
# Build and push jupyter-intel-pytorch-ubi9-python-3.9 image to the registry
.PHONY: jupyter-intel-pytorch-ubi9-python-3.9
jupyter-intel-pytorch-ubi9-python-3.9: intel-base-gpu-ubi9-python-3.9
$(call image,$@,jupyter/intel/pytorch/ubi9-python-3.9,$<)
# Build and push intel-runtime-ml-ubi9-python-3.9 image to the registry
.PHONY: intel-runtime-ml-ubi9-python-3.9
intel-runtime-ml-ubi9-python-3.9: base-ubi9-python-3.9
$(call image,$@,intel/runtimes/ml/ubi9-python-3.9,$<)
# Build and push jupyter-intel-ml-ubi9-python-3.9 image to the registry
.PHONY: jupyter-intel-ml-ubi9-python-3.9
jupyter-intel-ml-ubi9-python-3.9: base-ubi9-python-3.9
$(call image,$@,jupyter/intel/ml/ubi9-python-3.9,$<)
####################################### Buildchain for Python 3.9 using C9S #######################################
# Build and push base-c9s-python-3.9 image to the registry
.PHONY: base-c9s-python-3.9
base-c9s-python-3.9:
$(call image,$@,base/c9s-python-3.9)
.PHONY: cuda-c9s-python-3.9
cuda-c9s-python-3.9: base-c9s-python-3.9
$(call image,$@,cuda/c9s-python-3.9,$<)
.PHONY: rstudio-c9s-python-3.9
rstudio-c9s-python-3.9: base-c9s-python-3.9
$(call image,$@,rstudio/c9s-python-3.9,$<)
.PHONY: cuda-rstudio-c9s-python-3.9
cuda-rstudio-c9s-python-3.9: cuda-c9s-python-3.9
$(call image,$@,rstudio/c9s-python-3.9,$<)
####################################### Buildchain for RHEL9 #######################################
# Build and push base-rhel9-python-3.9 image to the registry
.PHONY: base-rhel9-python-3.9
base-rhel9-python-3.9:
$(call image,$@,base/rhel9-python-3.9)
####################################### Buildchain for AMD Python 3.9 using UBI9 #######################################
.PHONY: rocm-ubi9-python-3.9
rocm-ubi9-python-3.9: base-ubi9-python-3.9
$(call image,$@,rocm/ubi9-python-3.9,$<)
# We are only using rocm-ubi9 base image here onwards
.PHONY: rocm-jupyter-minimal-ubi9-python-3.9
rocm-jupyter-minimal-ubi9-python-3.9: rocm-ubi9-python-3.9
$(call image,$@,jupyter/minimal/ubi9-python-3.9,$<)
# Build and push rocm-jupyter-datascience-ubi9-python-3.9 image to the registry
.PHONY: rocm-jupyter-datascience-ubi9-python-3.9
rocm-jupyter-datascience-ubi9-python-3.9: rocm-jupyter-minimal-ubi9-python-3.9
$(call image,$@,jupyter/datascience/ubi9-python-3.9,$<)
# Build and push rocm-jupyter-tensorflow-ubi9-python-3.9 image to the registry
.PHONY: rocm-jupyter-tensorflow-ubi9-python-3.9
rocm-jupyter-tensorflow-ubi9-python-3.9: rocm-jupyter-datascience-ubi9-python-3.9
$(call image,$@,jupyter/rocm/tensorflow/ubi9-python-3.9,$<)
# Build and push rocm-jupyter-pytorch-ubi9-python-3.9 image to the registry
.PHONY: rocm-jupyter-pytorch-ubi9-python-3.9
rocm-jupyter-pytorch-ubi9-python-3.9: rocm-jupyter-datascience-ubi9-python-3.9
$(call image,$@,jupyter/rocm/pytorch/ubi9-python-3.9,$<)
# Build and push rocm-jupyter-runtime-pytorch-ubi9-python-3.9 image to the registry
.PHONY: rocm-runtime-pytorch-ubi9-python-3.9
rocm-runtime-pytorch-ubi9-python-3.9: rocm-ubi9-python-3.9
$(call image,$@,runtimes/rocm-pytorch/ubi9-python-3.9,$<)
# Build and push rocm-jupyter-runtime-tensorflow-ubi9-python-3.9 image to the registry
.PHONY: rocm-runtime-tensorflow-ubi9-python-3.9
rocm-runtime-tensorflow-ubi9-python-3.9: rocm-ubi9-python-3.9
$(call image,$@,runtimes/rocm-tensorflow/ubi9-python-3.9,$<)
####################################### Buildchain for Anaconda Python #######################################
# Build and push base-anaconda-python-3.8 image to the registry
.PHONY: base-anaconda-python-3.8
base-anaconda-python-3.8:
$(call image,$@,base/anaconda-python-3.8)
# Build and push jupyter-datascience-anaconda-python-3.8 image to the registry
.PHONY: jupyter-datascience-anaconda-python-3.8
jupyter-datascience-anaconda-python-3.8: base-anaconda-python-3.8
$(call image,$@,jupyter/datascience/anaconda-python-3.8,$<)
####################################### Deployments #######################################
# Download kubectl binary
.PHONY: bin/kubectl
bin/kubectl:
ifeq (,$(wildcard $(KUBECTL_BIN)))
@mkdir -p bin
@curl -sSL https://dl.k8s.io/release/$(KUBECTL_VERSION)/bin/linux/amd64/kubectl > \
$(KUBECTL_BIN)
@chmod +x $(KUBECTL_BIN)
endif
# Deploy a notebook image using kustomize
.PHONY: deploy8
deploy8-%-ubi8-python-3.8: bin/kubectl
$(eval NOTEBOOK_DIR := $(subst -,/,$(subst cuda-,,$*))/ubi8-python-3.8/kustomize/base)
ifndef NOTEBOOK_TAG
$(eval NOTEBOOK_TAG := $*-ubi8-python-3.8-$(IMAGE_TAG))
endif
$(info # Deploying notebook from $(NOTEBOOK_DIR) directory...)
@sed -i 's,newName: .*,newName: $(IMAGE_REGISTRY),g' $(NOTEBOOK_DIR)/kustomization.yaml
@sed -i 's,newTag: .*,newTag: $(NOTEBOOK_TAG),g' $(NOTEBOOK_DIR)/kustomization.yaml
$(KUBECTL_BIN) apply -k $(NOTEBOOK_DIR)
# Deploy a notebook image using kustomize
.PHONY: deploy-anaconda8
deploy8-%-anaconda-python-3.8: bin/kubectl
$(eval NOTEBOOK_DIR := $(subst -,/,$(subst cuda-,,$*))/anaconda-python-3.8/kustomize/base)
ifndef NOTEBOOK_TAG
$(eval NOTEBOOK_TAG := $*-anaconda-python-3.8-$(IMAGE_TAG))
endif
$(info # Deploying notebook from $(NOTEBOOK_DIR) directory...)
@sed -i 's,newName: .*,newName: $(IMAGE_REGISTRY),g' $(NOTEBOOK_DIR)/kustomization.yaml
@sed -i 's,newTag: .*,newTag: $(NOTEBOOK_TAG),g' $(NOTEBOOK_DIR)/kustomization.yaml
$(KUBECTL_BIN) apply -k $(NOTEBOOK_DIR)
.PHONY: deploy9
deploy9-%-ubi9-python-3.9: bin/kubectl
$(eval NOTEBOOK_DIR := $(subst -,/,$(subst cuda-,,$*))/ubi9-python-3.9/kustomize/base)
ifndef NOTEBOOK_TAG
$(eval NOTEBOOK_TAG := $*-ubi9-python-3.9-$(IMAGE_TAG))
endif
$(info # Deploying notebook from $(NOTEBOOK_DIR) directory...)
@sed -i 's,newName: .*,newName: $(IMAGE_REGISTRY),g' $(NOTEBOOK_DIR)/kustomization.yaml
@sed -i 's,newTag: .*,newTag: $(NOTEBOOK_TAG),g' $(NOTEBOOK_DIR)/kustomization.yaml
$(KUBECTL_BIN) apply -k $(NOTEBOOK_DIR)
# Undeploy a notebook image using kustomize
.PHONY: undeploy8
undeploy8-%-ubi8-python-3.8: bin/kubectl
$(eval NOTEBOOK_DIR := $(subst -,/,$(subst cuda-,,$*))/ubi8-python-3.8/kustomize/base)
$(info # Undeploying notebook from $(NOTEBOOK_DIR) directory...)
$(KUBECTL_BIN) delete -k $(NOTEBOOK_DIR)
.PHONY: undeploy-anaconda8
undeploy8-%-anaconda-python-3.8: bin/kubectl
$(eval NOTEBOOK_DIR := $(subst -,/,$(subst cuda-,,$*))/anaconda-python-3.8/kustomize/base)
$(info # Undeploying notebook from $(NOTEBOOK_DIR) directory...)
$(KUBECTL_BIN) delete -k $(NOTEBOOK_DIR)
.PHONY: undeploy9
undeploy9-%-ubi9-python-3.9: bin/kubectl
$(eval NOTEBOOK_DIR := $(subst -,/,$(subst cuda-,,$*))/ubi9-python-3.9/kustomize/base)
$(info # Undeploying notebook from $(NOTEBOOK_DIR) directory...)
$(KUBECTL_BIN) delete -k $(NOTEBOOK_DIR)
.PHONY: deploy-c9s
deploy-c9s-%-c9s-python-3.9: bin/kubectl
$(eval NOTEBOOK_DIR := $(subst -,/,$(subst cuda-,,$*))/c9s-python-3.9/kustomize/base)
ifndef NOTEBOOK_TAG
$(eval NOTEBOOK_TAG := $*-c9s-python-3.9-$(IMAGE_TAG))
endif
$(info # Deploying notebook from $(NOTEBOOK_DIR) directory...)
@sed -i 's,newName: .*,newName: $(IMAGE_REGISTRY),g' $(NOTEBOOK_DIR)/kustomization.yaml
@sed -i 's,newTag: .*,newTag: $(NOTEBOOK_TAG),g' $(NOTEBOOK_DIR)/kustomization.yaml
$(KUBECTL_BIN) apply -k $(NOTEBOOK_DIR)
.PHONY: undeploy-c9s
undeploy-c9s-%-c9s-python-3.9: bin/kubectl
$(eval NOTEBOOK_DIR := $(subst -,/,$(subst cuda-,,$*))/c9s-python-3.9/kustomize/base)
$(info # Undeploying notebook from $(NOTEBOOK_DIR) directory...)
$(KUBECTL_BIN) delete -k $(NOTEBOOK_DIR)
# Function for testing a notebook with papermill
# ARG 1: Notebook name
# ARG 1: UBI flavor
# ARG 1: Python kernel
define test_with_papermill
$(eval PREFIX_NAME := $(subst /,-,$(1)_$(2))) \
$(KUBECTL_BIN) exec $(FULL_NOTEBOOK_NAME) -- /bin/sh -c "python3 -m pip install papermill" ; \
$(KUBECTL_BIN) exec $(FULL_NOTEBOOK_NAME) -- /bin/sh -c "wget ${NOTEBOOK_REPO_BRANCH_BASE}/jupyter/$(1)/$(2)-$(3)/test/test_notebook.ipynb -O test_notebook.ipynb && python3 -m papermill test_notebook.ipynb $(PREFIX_NAME)_output.ipynb --kernel python3 --stderr-file $(PREFIX_NAME)_error.txt" ; \
if [ $$? -ne 0 ]; then \
echo "ERROR: The $(1) $(2) notebook encountered a failure. To investigate the issue, you can review the logs located in the ocp-ci cluster on 'artifacts/notebooks-e2e-tests/jupyter-$(1)-$(2)-$(3)-test-e2e' directory or run 'cat $(PREFIX_NAME)_error.txt' within your container. The make process has been aborted." ; \
exit 1 ; \
fi ; \
$(KUBECTL_BIN) exec $(FULL_NOTEBOOK_NAME) -- /bin/sh -c "cat $(PREFIX_NAME)_error.txt | grep --quiet FAILED" ; \
if [ $$? -eq 0 ]; then \
echo "ERROR: The $(1) $(2) notebook encountered a failure. The make process has been aborted." ; \
$(KUBECTL_BIN) exec $(FULL_NOTEBOOK_NAME) -- /bin/sh -c "cat $(PREFIX_NAME)_error.txt" ; \
exit 1 ; \
fi
endef
# Verify the notebook's readiness by pinging the /api endpoint and executing the corresponding test_notebook.ipynb file in accordance with the build chain logic.
.PHONY: test
test-%: bin/kubectl
# Verify the notebook's readiness by pinging the /api endpoint
$(eval NOTEBOOK_NAME := $(subst .,-,$(subst cuda-,,$*)))
$(info # Running tests for $(NOTEBOOK_NAME) notebook...)
$(KUBECTL_BIN) wait --for=condition=ready pod -l app=$(NOTEBOOK_NAME) --timeout=600s
$(KUBECTL_BIN) port-forward svc/$(NOTEBOOK_NAME)-notebook 8888:8888 & curl --retry 5 --retry-delay 5 --retry-connrefused http://localhost:8888/notebook/opendatahub/jovyan/api ; EXIT_CODE=$$?; echo && pkill --full "^$(KUBECTL_BIN).*port-forward.*"; \
$(eval FULL_NOTEBOOK_NAME = $(shell ($(KUBECTL_BIN) get pods -l app=$(NOTEBOOK_NAME) -o custom-columns=":metadata.name" | tr -d '\n')))
# Tests notebook's functionalities
if echo "$(FULL_NOTEBOOK_NAME)" | grep -q "minimal-ubi9"; then \
$(call test_with_papermill,minimal,ubi9,python-3.9) \
elif echo "$(FULL_NOTEBOOK_NAME)" | grep -q "intel-tensorflow-ubi9"; then \
$(call test_with_papermill,intel/tensorflow,ubi9,python-3.9) \
elif echo "$(FULL_NOTEBOOK_NAME)" | grep -q "intel-pytorch-ubi9"; then \
$(call test_with_papermill,intel/pytorch,ubi9,python-3.9) \
elif echo "$(FULL_NOTEBOOK_NAME)" | grep -q "datascience-ubi9"; then \
$(MAKE) validate-ubi9-datascience -e FULL_NOTEBOOK_NAME=$(FULL_NOTEBOOK_NAME); \
elif echo "$(FULL_NOTEBOOK_NAME)" | grep -q "pytorch-ubi9"; then \
$(MAKE) validate-ubi9-datascience -e FULL_NOTEBOOK_NAME=$(FULL_NOTEBOOK_NAME); \
$(call test_with_papermill,pytorch,ubi9,python-3.9) \
elif echo "$(FULL_NOTEBOOK_NAME)" | grep -q "tensorflow-ubi9"; then \
$(MAKE) validate-ubi9-datascience -e FULL_NOTEBOOK_NAME=$(FULL_NOTEBOOK_NAME); \
$(call test_with_papermill,tensorflow,ubi9,python-3.9) \
elif echo "$(FULL_NOTEBOOK_NAME)" | grep -q "intel-ml-ubi9"; then \
$(call test_with_papermill,intel/ml,ubi9,python-3.9) \
elif echo "$(FULL_NOTEBOOK_NAME)" | grep -q "trustyai-ubi9"; then \
$(call test_with_papermill,trustyai,ubi9,python-3.9) \
elif echo "$(FULL_NOTEBOOK_NAME)" | grep -q "minimal-ubi8"; then \
$(call test_with_papermill,minimal,ubi8,python-3.8) \
elif echo "$(FULL_NOTEBOOK_NAME)" | grep -q "datascience-ubi8"; then \
$(MAKE) validate-ubi8-datascience -e FULL_NOTEBOOK_NAME=$(FULL_NOTEBOOK_NAME); \
elif echo "$(FULL_NOTEBOOK_NAME)" | grep -q "anaconda"; then \
echo "There is no test notebook implemented yet for Anaconda Notebook...." \
else \
echo "No matching condition found for $(FULL_NOTEBOOK_NAME)." ; \
fi
.PHONY: validate-ubi9-datascience
validate-ubi9-datascience:
$(call test_with_papermill,minimal,ubi9,python-3.9)
$(call test_with_papermill,datascience,ubi9,python-3.9)
.PHONY: validate-ubi8-datascience
validate-ubi8-datascience:
$(call test_with_papermill,minimal,ubi8,python-3.8)
$(call test_with_papermill,datascience,ubi8,python-3.8)
# Validate that runtime image meets minimum criteria
# This validation is created from subset of https://github.com/elyra-ai/elyra/blob/9c417d2adc9d9f972de5f98fd37f6945e0357ab9/Makefile#L325
.PHONY: validate-runtime-image
validate-runtime-image: bin/kubectl
$(eval NOTEBOOK_NAME := $(subst .,-,$(subst cuda-,,$*)))
$(info # Running tests for $(NOTEBOOK_NAME) runtime...)
$(KUBECTL_BIN) wait --for=condition=ready pod runtime-pod --timeout=300s
@required_commands=$(REQUIRED_RUNTIME_IMAGE_COMMANDS) ; \
if [[ $$image == "" ]] ; then \
echo "Usage: make validate-runtime-image image=<container-image-name>" ; \
exit 1 ; \
fi ; \
for cmd in $$required_commands ; do \
echo "=> Checking container image $$image for $$cmd..." ; \
$(KUBECTL_BIN) exec runtime-pod which $$cmd > /dev/null 2>&1 ; \
if [ $$? -ne 0 ]; then \
echo "ERROR: Container image $$image does not meet criteria for command: $$cmd" ; \
fail=1; \
continue; \
fi; \
if [ $$cmd == "python3" ]; then \
echo "=> Checking notebook execution..." ; \
$(KUBECTL_BIN) exec runtime-pod -- /bin/sh -c "python3 -m pip install -r /opt/app-root/elyra/requirements-elyra.txt && \
curl https://raw.githubusercontent.com/nteract/papermill/main/papermill/tests/notebooks/simple_execute.ipynb --output simple_execute.ipynb && \
python3 -m papermill simple_execute.ipynb output.ipynb > /dev/null" ; \
if [ $$? -ne 0 ]; then \
echo "ERROR: Image does not meet Python requirements criteria in requirements-elyra.txt" ; \
fail=1; \
fi; \
fi; \
done ; \
if [ $$fail -eq 1 ]; then \
echo "=> ERROR: Container image $$image is not a suitable Elyra runtime image" ; \
exit 1 ; \
else \
echo "=> Container image $$image is a suitable Elyra runtime image" ; \
fi;
.PHONY: validate-codeserver-image
validate-codeserver-image: bin/kubectl
$(eval NOTEBOOK_NAME := $(subst .,-,$(subst cuda-,,$*)))
$(info # Running tests for $(NOTEBOOK_NAME) code-server image...)
$(KUBECTL_BIN) wait --for=condition=ready pod codeserver-pod --timeout=300s
@required_commands=$(REQUIRED_CODE_SERVER_IMAGE_COMMANDS) ; \
if [[ $$image == "" ]] ; then \
echo "Usage: make validate-codeserver-image image=<container-image-name>" ; \
exit 1 ; \
fi ; \
for cmd in $$required_commands ; do \
echo "=> Checking container image $$image for $$cmd..." ; \
$(KUBECTL_BIN) exec codeserver-pod which $$cmd > /dev/null 2>&1 ; \
if [ $$? -ne 0 ]; then \
echo "ERROR: Container image $$image does not meet criteria for command: $$cmd" ; \
fail=1; \
continue; \
fi; \
done ; \
.PHONY: validate-rstudio-image
validate-rstudio-image: bin/kubectl
$(eval NOTEBOOK_NAME := $(subst .,-,$(subst cuda-,,$*)))
$(info # Running tests for $(NOTEBOOK_NAME) RStudio Server image...)
$(KUBECTL_BIN) wait --for=condition=ready pod rstudio-pod --timeout=300s
@required_commands=$(REQUIRED_R_STUDIO_IMAGE_COMMANDS) ; \
if [[ $$image == "" ]] ; then \
echo "Usage: make validate-rstudio-image image=<container-image-name>" ; \
exit 1 ; \
fi ; \
echo "=> Checking container image $$image for package intallation..." ; \
$(KUBECTL_BIN) exec -it rstudio-pod -- mkdir -p /opt/app-root/src/R/temp-library > /dev/null 2>&1 ; \
$(KUBECTL_BIN) exec rstudio-pod -- R -e "install.packages('tinytex', lib='/opt/app-root/src/R/temp-library')" > /dev/null 2>&1 ; \
if [ $$? -eq 0 ]; then \
echo "Tinytex installation successful!"; \
else \
echo "Error: Tinytex installation failed."; \
fi; \
for cmd in $$required_commands ; do \
echo "=> Checking container image $$image for $$cmd..." ; \
$(KUBECTL_BIN) exec rstudio-pod which $$cmd > /dev/null 2>&1 ; \
if [ $$? -eq 0 ]; then \
echo "$$cmd executed successfuly!"; \
else \
echo "ERROR: Container image $$image does not meet criteria for command: $$cmd" ; \
fail=1; \
continue; \
fi; \
done ; \
echo "=> Fetching R script from URL and executing on the container..."; \
curl -sSL -o test_script.R "${NOTEBOOK_REPO_BRANCH_BASE}/rstudio/c9s-python-3.9/test/test_script.R" > /dev/null 2>&1 ; \
$(KUBECTL_BIN) cp test_script.R rstudio-pod:/opt/app-root/src/test_script.R > /dev/null 2>&1; \
$(KUBECTL_BIN) exec rstudio-pod -- Rscript /opt/app-root/src/test_script.R > /dev/null 2>&1 ; \
if [ $$? -eq 0 ]; then \
echo "R script executed successfully!"; \
rm test_script.R ; \
else \
echo "Error: R script failed."; \
fail=1; \
continue; \
fi; \
# This is only for the workflow action
.PHONY: refresh-pipfilelock-files
refresh-pipfilelock-files:
cd base/ubi8-python-3.8 && pipenv lock
cd base/ubi9-python-3.9 && pipenv lock
cd base/c9s-python-3.9 && pipenv lock
cd jupyter/minimal/ubi8-python-3.8 && pipenv lock
cd jupyter/minimal/ubi9-python-3.9 && pipenv lock
cd jupyter/datascience/ubi8-python-3.8 && pipenv lock
cd jupyter/datascience/ubi9-python-3.9 && pipenv lock
cd jupyter/pytorch/ubi9-python-3.9 && pipenv lock
cd jupyter/tensorflow/ubi9-python-3.9 && pipenv lock
cd jupyter/trustyai/ubi9-python-3.9 && pipenv lock
cd habana/1.10.0/ubi8-python-3.8 && pipenv lock
cd habana/1.13.0/ubi8-python-3.8 && pipenv lock
cd runtimes/minimal/ubi8-python-3.8 && pipenv lock
cd runtimes/minimal/ubi9-python-3.9 && pipenv lock
cd runtimes/datascience/ubi8-python-3.8 && pipenv lock
cd runtimes/datascience/ubi9-python-3.9 && pipenv lock
cd runtimes/pytorch/ubi9-python-3.9 && pipenv lock
cd runtimes/pytorch/ubi8-python-3.8 && pipenv lock
cd runtimes/tensorflow/ubi8-python-3.8 && pipenv lock
cd runtimes/tensorflow/ubi9-python-3.9 && pipenv lock
cd runtimes/rocm-tensorflow/ubi9-python-3.9 && pipenv lock
cd runtimes/rocm-pytorch/ubi9-python-3.9 && pipenv lock
# This is only for the workflow action
# For running manually, set the required environment variables
.PHONY: scan-image-vulnerabilities
scan-image-vulnerabilities:
python ci/security-scan/quay_security_analysis.py