Compare commits

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188 Commits

Author SHA1 Message Date
allegroai
b6ca0fa6a5 Print error on resource monitor failure 2023-05-11 16:18:11 +03:00
allegroai
307ec9213e Fix git+ssh:// links inside installed packages not being converted properly to HTTPS authenticated and vice versa 2023-05-11 16:16:51 +03:00
allegroai
a78a25d966 Support new Retry.DEFAULT_BACKOFF_MAX in a backwards-compatible way 2023-05-11 16:16:18 +03:00
allegroai
ebb6231f5a Add CLEARML_AGENT_STANDALONE_CONFIG_BC to support backwards compatibility in standalone mode 2023-05-11 16:15:06 +03:00
pollfly
e1d65cb280 Update clearml-agent gif (#137) 2023-04-10 10:58:10 +03:00
allegroai
3fe92a92ba Version bump to v1.5.2 2023-03-29 12:49:33 +03:00
allegroai
154db59ce6 Add agent.package_manager.poetry_install_extra_args configuration option 2023-03-28 14:37:48 +03:00
allegroai
afffa83063 Fix git+ssh:// links inside installed packages not being converted properly to https authenticated links 2023-03-28 14:35:51 +03:00
allegroai
787c7d88bb Fix additional poetry cwd support feature 2023-03-28 14:35:41 +03:00
allegroai
667c2ced3d Fix very old pip version support (<20) 2023-03-28 14:34:19 +03:00
allegroai
7f5b3c8df4 Fix None config file in session causes k8s agent to raise exception 2023-03-28 14:33:55 +03:00
allegroai
46ded2864d Fix restart feature should be tested against agent session 2023-03-28 14:33:33 +03:00
allegroai
40456be948 Black formatting
Refactor path support
2023-03-05 18:05:00 +02:00
allegroai
8d51aed679 Protect against cache folders without permission 2023-03-05 18:05:00 +02:00
allegroai
bfc4ba38cd Fix torch inside nvidia containers to use preinstalled version (i.e. ==x.y.z.* matching) 2023-03-05 18:05:00 +02:00
Niels ten Boom
3cedc104df Add poetry cwd support (#142)
Closes #138
2023-03-05 14:19:57 +02:00
Marijan Smetko
b367c80477 Switch entrypoint shell from sh to bash (#141) 2023-02-28 21:55:16 +02:00
allegroai
262b6d3a00 Update services agent entrypoint 2023-02-05 10:40:02 +02:00
allegroai
95e996bfda Reintroduce CLEARML_AGENT_SERVICES_DOCKER_RESTART accidentally reverted by a previous merge 2023-02-05 10:34:38 +02:00
allegroai
b6d132b226 Fix build fails when target is relative path 2023-02-05 10:33:32 +02:00
allegroai
4f17a2c17d Fix K8s glue does not delete pending pods if the tasks they represent were aborted 2023-02-05 10:32:16 +02:00
allegroai
00e8e9eb5a Do not allow request exceptions (only on the initial login call) 2023-02-05 10:30:45 +02:00
allegroai
af6a77918f Fix _ is allowed in k8s label names 2023-02-05 10:29:48 +02:00
allegroai
855622fd30 Support custom service on Worker.get() calls 2023-02-05 10:29:09 +02:00
allegroai
8cd12810f3 Fix login uses GET with payload which breaks when trying to connect a server running in GCP 2023-02-05 10:28:41 +02:00
achaiah
ebb955187d Fix agent update version (#132)
* Fix agent update version

Pip install command is missing the '=='  to execute successfully

* allow for fuzzy and direct version spec

adding logic to allow for flexible version specification

* Added regex to parse 1.2.3rc4 patterns
2023-01-08 19:10:26 +02:00
pollfly
85e1fadf9b Fix typos (#131) 2022-12-28 19:39:59 +02:00
allegroai
249b51a31b Version bump 2022-12-13 15:29:10 +02:00
allegroai
da19ef26c4 Fix pinging running task (and change default to once a minute) 2022-12-13 15:26:26 +02:00
allegroai
f69e16ea9d Fix clearml-agent build --docker stuck on certain containers 2022-12-13 15:24:32 +02:00
allegroai
efa1f71dac Version bump to v1.5.1 2022-12-10 22:18:21 +02:00
allegroai
692cb8cf13 Update six requirements 2022-12-10 22:18:10 +02:00
allegroai
ebdc215632 Remove " from pip commands in venv 2022-12-10 20:58:30 +02:00
allegroai
b2da639582 Add CLEARML_AGENT_FORCE_SYSTEM_SITE_PACKAGES env var (default true) to allow overriding default "system_site_packages: true" behavior when running tasks in containers (docker mode and k8s-glue) 2022-12-10 20:00:46 +02:00
allegroai
71fdb43f10 Version bump to v1.5.1rc0 2022-12-07 22:09:40 +02:00
allegroai
ca2791c65e Fix pip support allowing multiple pip version constraints (by default, one for <PY3.10 and one for >=PY3.10) 2022-12-07 22:09:25 +02:00
allegroai
dd75cedaab Upgrade requirements for attrs, jsonschema, pyparsing and pyjwt 2022-12-07 22:08:15 +02:00
allegroai
669fb1a6e5 Fix using deprecated types validator argument raises an error (deprecated even before jsonschema 3.0.0 and unsupported since 4.0.0) 2022-12-07 22:07:53 +02:00
allegroai
5d517c91b5 Add agent.disable_task_docker_override configuration option to disable docker override specified in executing tasks 2022-12-07 22:07:11 +02:00
allegroai
6be75abc86 Add default output URI selection to "clearml-agent init" 2022-12-07 22:06:10 +02:00
allegroai
4c777fa2ee Version bump to v1.5.0 2022-12-05 16:42:44 +02:00
allegroai
dc5e0033c8 Remove support for kubectl run
Allow customizing pod name prefix and limit pod label
Return deleted pods from cleanup
Some refactoring
2022-12-05 11:40:19 +02:00
allegroai
3dd5973734 Filter by phase when detecting hanging pods
More debug print-outs
Use task session when possible
Push task into k8s scheduler queue only if running from the same tenant
Make sure we pass git_user/pass to the task pod
Fix cleanup command not issued when no pods exist in a multi-queue setup
2022-12-05 11:29:59 +02:00
allegroai
53d379205f Support raise_error in get_bash_output() 2022-12-05 11:26:40 +02:00
allegroai
57cde21c48 Send task.ping for executing tasks every 120 seconds (set using the agent.task_ping_interval_sec configuration option) 2022-12-05 11:22:25 +02:00
allegroai
396abf13b6 Fix get_task_session() may cause an old copy of the APIClient to be used containing a reference to the previous session 2022-12-05 11:20:32 +02:00
allegroai
6e7fb5f331 Fix sending task logs fails when agent is not running in the same tenant 2022-12-05 11:19:14 +02:00
allegroai
1d5c118b70 Fix setting CLEARML_API_DEFAULT_REQ_METHOD raises an error 2022-12-05 11:18:12 +02:00
allegroai
18612aac4d Improve configuration examples 2022-12-05 11:17:27 +02:00
allegroai
76c533a2e8 Fix access to config object 2022-11-11 13:34:17 +02:00
Niels ten Boom
9eee213683 Add option to crash agent on exception using agent.crash_on_exception configuration setting (#123) 2022-11-06 17:15:39 +02:00
allegroai
e4861fc0fb Add missing settings in clearml.conf 2022-11-06 12:36:01 +02:00
allegroai
53ef984065 Update README 2022-11-06 11:53:16 +02:00
allegroai
26e62da1a8 version bump to 1.5.0rc0 2022-10-23 13:04:00 +03:00
allegroai
d2f3614ab0 Add support for CLEARML_AGENT_DOCKER_ARGS_HIDE_ENV environment variable (see agent.hide_docker_command_env_vars config option) 2022-10-23 13:04:00 +03:00
allegroai
c6d767bd64 Make venv caching the default behavior 2022-10-23 13:04:00 +03:00
allegroai
efb06891a8 Add support for PyTorch new extra_index_url repo support. We will find the correct index url based on the cuda version, and let pip do the rest. 2022-10-23 13:04:00 +03:00
allegroai
70771b12a9 Remove unused code 2022-10-23 13:04:00 +03:00
allegroai
3f7a4840cc Add support for operator != in package version (mostly for pytorch resolving) 2022-10-23 13:04:00 +03:00
allegroai
e28048dc25 Change default pip version used to "pip<21" for better Python 3.10 support 2022-10-23 13:04:00 +03:00
allegroai
2ef5d38b32 Remove future (Python 2 is not supported for clearml-agent) 2022-10-23 13:03:59 +03:00
allegroai
d216d70cdf Upgrade packages for better Python 3.10 support 2022-10-23 13:03:59 +03:00
allegroai
0de10345f7 Moved pyhocon to internal packages 2022-10-23 13:03:59 +03:00
allegroai
a243fa211f Improve venv cache disabled message 2022-10-23 13:03:59 +03:00
allegroai
d794b047be Fix system_site_packages is not turned on in k8s glue 2022-10-23 13:03:59 +03:00
allegroai
f0fd62a28f Fix docker extra args showing up in configuration printout 2022-10-23 13:03:59 +03:00
allegroai
e8493d3807 Refactor override configuration to a method 2022-10-23 13:03:58 +03:00
Allegro AI
5353e9c44d Update README.md 2022-10-19 02:47:10 +03:00
Allegro AI
75f5814f9f Update README.md 2022-10-19 02:44:53 +03:00
Allegro AI
94b8b5520d Update README.md 2022-10-19 02:18:56 +03:00
allegroai
42450dcbc4 Update clearml.conf 2022-10-07 15:33:19 +03:00
allegroai
ef47225d41 Version bump to v1.4.1 2022-10-07 15:27:49 +03:00
allegroai
e61accefb9 PEP8 + refactor 2022-10-07 15:26:31 +03:00
allegroai
5c1543d112 Add agent.disable_ssh_mount configuration option (same as CLEARML_AGENT_DISABLE_SSH_MOUNT env var) 2022-10-07 15:24:39 +03:00
allegroai
7ff6aee20c Add warning if venv cache is disabled 2022-10-07 15:23:10 +03:00
allegroai
37ea381d98 Add support for docker args filters 2022-10-07 15:22:42 +03:00
allegroai
67fc884895 Fix --gpus all not reporting GPU stats on worker machine 2022-10-07 15:22:13 +03:00
allegroai
1e3646b57c Fix docker command for monitoring child agents 2022-10-07 15:21:32 +03:00
allegroai
ba2db4e727 Version bump to v1.4.0 2022-09-29 18:21:04 +03:00
allegroai
077148be00 version bump 2022-09-16 17:29:42 +03:00
allegroai
594ee5842e Allow to pverride pytorch lookup page: "agent.package_manager.torch_page / torch_nightly_page / torch_url_template_prefix" 2022-09-15 20:16:41 +03:00
allegroai
a69766bd8b Add CLEARML_AGENT_CHILD_AGENTS_COUNT_CMD to allow overriding child agent count command in k8s 2022-09-15 20:16:01 +03:00
allegroai
857a750eb1 Fix GCP load balancer not fwd GET request body, allow to change default request Action to Put/Post/Get. see api.http.default_method or CLEARML_API_DEFAULT_REQ_METHOD 2022-09-15 20:15:42 +03:00
allegroai
26aa50f1b5 Fix k8s glue extra_bash_init_cmd location in initial bash script 2022-09-02 23:50:03 +03:00
allegroai
8b4f1eefc2 Add more debug printouts in k8s glue 2022-09-02 23:49:28 +03:00
allegroai
97c2e21dcc Fix resolving k8s pending queue may cause a queue with a uuid name to be created 2022-09-02 23:49:28 +03:00
allegroai
918dd39b87 Add docker ssh_ro_folder (default: "/.ssh") changed docker ssh_folder (default: "~/.ssh") 2022-09-02 23:49:27 +03:00
allegroai
7776e906c4 Fix second .ssh temp mount fails if container changes the files inside 2022-09-02 23:49:27 +03:00
allegroai
1bf865ec08 Fix name not escaped as regex (all services "get_all" use regex for name) 2022-09-02 23:49:27 +03:00
Luca Cerone
3f1ce847dc Fixed documentation (#117)
* Fixed documentation

* Update README.md
2022-09-01 17:18:48 +03:00
allegroai
9006c2d28f Add support for abort callback registration 2022-08-29 18:06:59 +03:00
allegroai
ec216198a0 Add agent.enable_git_ask_pass to improve passing user/pass to git commands 2022-08-29 18:06:26 +03:00
allegroai
fe6adbf110 Fix package @ file:// with quoted (url style) links should not be ignored 2022-08-29 18:06:09 +03:00
allegroai
2693c565ba Fix docker mode use "~/.clearml/venvs-builds" as default for easier user-mode containers 2022-08-29 18:05:53 +03:00
allegroai
9054ea37c2 Fix home folder 2022-08-23 23:16:56 +03:00
allegroai
7292263f86 Add CLEARML_K8S_GLUE_START_AGENT_SCRIPT_PATH to allow customizing the agent startup script location for k8s glue agent 2022-08-23 23:16:36 +03:00
allegroai
f8a6cd697f Add k8s agent debug env var 2022-08-23 23:15:53 +03:00
allegroai
ec9d027678 Add support for MIG devices, use 0:1 for GPU 0 slice 1 (or use 0.1) 2022-08-01 18:58:42 +03:00
allegroai
48a145a8bd Fix messages 2022-08-01 18:57:36 +03:00
allegroai
71d2ab4ce7 Add missing use_credentials_chain to config file example 2022-08-01 18:57:04 +03:00
allegroai
12a8872b27 Fix Python 3.10+ support 2022-08-01 18:56:37 +03:00
allegroai
820ab4dc0c Fix k8s glue debug mode, refactoring 2022-08-01 18:55:49 +03:00
allegroai
1d1ffd17fb Fix README 2022-07-31 19:36:48 +03:00
allegroai
d96b8ff906 Fix template namespace should override default namespace 2022-07-22 22:44:32 +03:00
allegroai
e687418194 Refactor k8s glue template handling 2022-07-22 22:43:07 +03:00
allegroai
a5a797ec5e Version bump to v1.3.0 2022-06-16 23:24:28 +03:00
allegroai
ff6cee4a44 Fix requirements --extra-index-url line with trailing comment
Fix --extra-index-url is added for different command line switches
2022-06-16 23:22:29 +03:00
allegroai
9acbad28f7 Fix repository URL contains credentials even when agent.force_git_ssh_protocolagent.force_git_ssh_protocol is true 2022-06-16 23:20:53 +03:00
allegroai
560e689ccd Fix always make pygobject an optional package (i.e. if installation fails continue the Task package environment setup) 2022-06-16 23:18:55 +03:00
allegroai
f66e42ddb1 Fix optional priority packaged always compare lower case package name 2022-06-16 23:18:31 +03:00
allegroai
d9856d5de5 Add Python 3.10 support 2022-06-16 23:16:06 +03:00
Niels ten Boom
24177cc5a9 Support private repos from requirements.txt file (#107)
* support private repos
* fix double indices
2022-06-15 10:26:24 +03:00
allegroai
178af0dee8 Bump PyJWT version due to "Key confusion through non-blocklisted public key formats" vulnerability 2022-05-25 16:41:26 +03:00
allegroai
51eb0a713c Version bump 2022-05-12 23:31:54 +03:00
allegroai
249aa006cb Make sure that if we have "setuptools" in the original required packages, we preserve the line in the pip freeze list 2022-05-12 23:31:32 +03:00
allegroai
c08e2ac0bb Fix clearml.conf access in non-root containers 2022-05-05 12:23:11 +03:00
allegroai
335ef91d8e Fix git unsafe directory issue (disable check on cached vcs folder) 2022-05-05 12:22:40 +03:00
allegroai
6c7a639673 Fix broken pytorch setuptools incompatibility (force setuptools < 59 if torch is below 1.11) 2022-05-05 12:22:13 +03:00
allegroai
5f77cad5ac Fix error message 2022-04-27 15:36:39 +03:00
allegroai
0228ae0494 Set environment variables before expanding path 2022-04-27 15:14:16 +03:00
allegroai
165677e800 Version bump 2022-04-27 14:59:51 +03:00
allegroai
2e5298b737 Add support for use-owner-token in k8s glue 2022-04-27 14:59:27 +03:00
allegroai
c9ffb8a053 Version bump 2022-04-20 08:57:16 +03:00
allegroai
2466eed23f Fix dynamic GPUs with "all" GPUs on he same worker 2022-04-20 08:56:22 +03:00
allegroai
6e31171d31 Version bump to v1.2.3 2022-04-14 22:39:38 +03:00
allegroai
592254709e Fix typo 2022-04-14 22:38:19 +03:00
allegroai
e43f31eb80 Version bump 2022-04-13 10:02:25 +03:00
allegroai
f50ba005b5 Protect dynamic GPUs from failing to parse worker GPU index 2022-04-13 10:01:50 +03:00
allegroai
1011544533 Fix copy breaks agent and nulls the worker name 2022-04-13 10:01:12 +03:00
allegroai
6572023173 Fix avoid reinstall pytorch package if the same version is already installed 2022-04-09 14:18:38 +03:00
allegroai
9c7e2aacd0 Fix PYTHONPATH is overwritten when executing a task (append to it instead) 2022-04-09 14:17:49 +03:00
Allegro AI
715f102f6d Update README.md 2022-04-01 17:48:27 +03:00
allegroai
5446aed9cf Version bump to v1.2.2 2022-03-30 20:48:28 +03:00
allegroai
b94ec85461 Fix update should run with -y 2022-03-30 20:48:11 +03:00
allegroai
f55f4f7535 Version bump 2022-03-30 20:11:13 +03:00
allegroai
c87da3a079 Fix apt-get update fail causes apt-get install to not be executed 2022-03-30 20:10:57 +03:00
allegroai
c3590a53a8 Fix CLEARML_AGENT_SKIP_PIP_VENV_INSTALL fails to find python executable 2022-03-30 20:10:08 +03:00
allegroai
a4315722ab Version bump to vv1.2.1 2022-03-28 18:13:20 +03:00
allegroai
c901bd331c Fix git packages are installed even if commit is given and is preinstalled when using cached virtual environment 2022-03-28 18:11:46 +03:00
allegroai
df97f170a2 Fix clearml-agent init
Use app.clear.ml as default server
Add git token refrences
2022-03-24 22:08:06 +02:00
allegroai
a30a2dad66 Add git personal token docs 2022-03-24 22:07:15 +02:00
allegroai
2432f5bb68 Add CLEARML_AGENT_PROPAGATE_EXITCODE, set to 1 to let clearml-agent execute retrun a nonzero exit code on failure (notice by default we keep the retrun code 0, the exception is the k8s glue with non-restarting Pods, where users would want to get visibility into failing Tasks, do not use unless you know what to expect from k8s) 2022-03-24 22:04:25 +02:00
allegroai
341086d86a Fix vcs packages are reinstalled when same commit version is already installed 2022-03-24 22:03:25 +02:00
allegroai
1163c96438 Add agent.package_manager.force_original_requirements allowing to only use the "org_pip" coming from dev execution (using this prevents editing the installed packages from the UI) 2022-03-24 22:00:33 +02:00
allegroai
4c120d7cd0 Add ability to override container LOCAL_PYTHON, add auto python support (max 3.15) 2022-03-24 21:58:07 +02:00
Jan Stratil
966a9758b8 Add condition to requirements for typing package (python < 3.5) (#103)
- According to the maintainer of the typing package, it is recommended
  to use the typing package with condition for python version since
  for python3.5 and later typing package is useless (as it is in the
  stdlib).
- Typing package can cause some issues so NOT installing it can solve
  some of them.

Co-authored-by: Jan Stratil <jan.stratil@innovatrics.com>
2022-03-23 15:03:37 +02:00
allegroai
f58071fc74 Fix README 2022-03-20 23:24:07 +02:00
allegroai
8712c5e636 Fix PyTorch aarch64 and windows support 2022-03-16 17:40:21 +02:00
allegroai
a51f9bed49 Version bump 2022-03-15 10:04:45 +02:00
allegroai
531e514003 Add custom build script support
Add extra configurations when starting daemon
Propagate token to docker in case credentials are not available
2022-03-15 10:04:25 +02:00
allegroai
2cd9e706c8 Fix user-provided " is unnecessarily replaced to \\" 2022-03-15 10:02:28 +02:00
Idan Tene
e3e6a1dda8 Fix virtualenv python interpreter used (#98)
* Add virtualenv version logging
* Force using requested python interpreter
2022-02-27 11:25:25 +02:00
Andrey Okhotnikov
92b5ce61a0 Add additional k8s-glue dockerfiles (#94) 2022-02-21 15:59:50 +02:00
pollfly
36073ad488 Fix links (#100) 2022-02-17 12:04:11 +02:00
allegroai
d89d0f9ff5 Fix pathlib2 six conflict, version bump 2022-02-09 18:29:04 +02:00
allegroai
14c48d0a78 Fix FORCE_LOCAL_CLEARML_AGENT_WHEEL when running from a Windows host 2022-02-09 18:28:17 +02:00
allegroai
b1ee3e105b Version bump 2022-02-07 20:05:03 +02:00
allegroai
1f53c4fd1b Fix agent fails to check out code from main branch when branch/commit is not explicitly specified 2022-02-07 20:04:08 +02:00
allegroai
bfed3ccf4d Fix agent attempts to check out code when in standalone mode 2022-02-07 20:03:08 +02:00
pollfly
d521482409 Add spaces to help menu (#96) 2022-02-06 12:45:21 +02:00
allegroai
53eba5658f Fix conda package manager listed packages with local links (@ file://) should ignore the local package if it does not exist
Fix cuda patch version support in conda
2022-02-02 16:33:07 +02:00
allegroai
bb64e4a850 Fix hide_docker_command_env_vars mode to include URL passwords and handle env vars containing docker commands 2022-02-02 16:30:34 +02:00
allegroai
771690d5c0 Fix ENV_API_DEFAULT_REQ_METHOD no default value causes ValueError if not specified 2022-01-31 12:39:39 +02:00
pollfly
d39e30995a Fix links (#93) 2022-01-27 12:15:36 +02:00
allegroai
363aaeaba8 Fix symbolic links not copied from cached VCS into working copy. Windows platform will result with default copy content instead of original symbolic link (issue #89) 2022-01-23 10:42:11 +02:00
allegroai
fa1307e62c Add agent.poetry_version to specify poetry version (and force installation of poetry if missing) 2022-01-23 10:40:05 +02:00
allegroai
e7c9e9695b Fix using deprecated abc support 2022-01-23 10:39:13 +02:00
Mal Miller
bf07b7f76d Add environment variable for request method (#91)
* Add environment variable for default request method
2022-01-12 20:29:17 +02:00
allegroai
5afb604e3d Fix default_python set to None 2022-01-07 15:12:27 +02:00
allegroai
b3e8be6296 Add agent.force_git_root_python_path configuration setting to force adding the git repository root folder to the PYTHONPATH (if set working directory is not added to the PYHTONPATH) 2022-01-07 15:11:59 +02:00
allegroai
2cb452b1c2 Version bump 2021-12-29 13:21:31 +02:00
allegroai
938fcc4530 Add build --force-docker command line argument to the to allow ignoring task container data 2021-12-29 13:21:25 +02:00
allegroai
73625bf00f Version bump 2021-12-21 14:29:43 +02:00
allegroai
f41ed09dc1 Add support for custom docker image resolving 2021-12-21 14:29:43 +02:00
allegroai
f03c4576f7 Update default docker image 2021-12-21 14:29:43 +02:00
pshowbs
6c5087e425 Update S3 bucket verify option for minio (#83)
Use verify configuration option to skip verify or set ca bundle path
2021-11-06 14:40:35 +02:00
allegroai
5a6caf6399 Fix "git+git://" requirements 2021-10-29 22:58:28 +03:00
allegroai
a07053d961 Version bump to v1.1.1 2021-10-26 10:12:21 +03:00
allegroai
aa9a9a25fb version bump 2021-10-21 12:03:29 +03:00
allegroai
cd4a39d8fc Fix config example 2021-10-21 12:03:07 +03:00
allegroai
92e3f00435 Add support for truncating task log file after reporting to server 2021-10-21 12:02:31 +03:00
allegroai
a890e36a36 Fix PY2.7 support for pytorch 2021-10-19 10:47:09 +03:00
allegroai
bed94ee431 Add support for configuration env and files section 2021-10-19 10:46:43 +03:00
allegroai
175e99b12b Fix if queue tag default does not exist and --queue not specified, try queue name "default" 2021-10-16 23:21:45 +03:00
allegroai
2a941e3abf Fix --stop checking default queue tag (issue #80) 2021-10-16 23:21:12 +03:00
allegroai
3c8e0ae5db Improve PyJWT resiliency support 2021-10-10 09:08:36 +03:00
allegroai
e416ab526b Fix Python 3.5 compatibility 2021-09-26 00:05:08 +03:00
pollfly
e17246d8ea Fix docstring typos (#79)
* edit doctring typo

* fix typos
2021-09-14 18:42:18 +03:00
58 changed files with 5598 additions and 1026 deletions

200
README.md
View File

@@ -8,15 +8,15 @@ ML-Ops scheduler & orchestration solution supporting Linux, macOS and Windows**
[![GitHub license](https://img.shields.io/github/license/allegroai/clearml-agent.svg)](https://img.shields.io/github/license/allegroai/clearml-agent.svg)
[![PyPI pyversions](https://img.shields.io/pypi/pyversions/clearml-agent.svg)](https://img.shields.io/pypi/pyversions/clearml-agent.svg)
[![PyPI version shields.io](https://img.shields.io/pypi/v/clearml-agent.svg)](https://img.shields.io/pypi/v/clearml-agent.svg)
[![PyPI Downloads](https://pepy.tech/badge/clearml-agent/month)](https://pypi.org/project/clearml-agent/)
[![Artifact Hub](https://img.shields.io/endpoint?url=https://artifacthub.io/badge/repository/allegroai)](https://artifacthub.io/packages/search?repo=allegroai)
</div>
---
### ClearML-Agent
#### *Formerly known as Trains Agent*
#### *Formerly known as Trains Agent*
* Run jobs (experiments) on any local or cloud based resource
* Implement optimized resource utilization policies
@@ -24,23 +24,31 @@ ML-Ops scheduler & orchestration solution supporting Linux, macOS and Windows**
* Launch-and-Forget service containers
* [Cloud autoscaling](https://clear.ml/docs/latest/docs/guides/services/aws_autoscaler)
* [Customizable cleanup](https://clear.ml/docs/latest/docs/guides/services/cleanup_service)
* Advanced [pipeline building and execution](https://clear.ml/docs/latest/docs/guides/frameworks/pytorch/notebooks/table/tabular_training_pipeline)
*
Advanced [pipeline building and execution](https://clear.ml/docs/latest/docs/guides/frameworks/pytorch/notebooks/table/tabular_training_pipeline)
It is a zero configuration fire-and-forget execution agent, providing a full ML/DL cluster solution.
**Full Automation in 5 steps**
1. ClearML Server [self-hosted](https://github.com/allegroai/clearml-server) or [free tier hosting](https://app.community.clear.ml)
2. `pip install clearml-agent` ([install](#installing-the-clearml-agent) the ClearML Agent on any GPU machine: on-premises / cloud / ...)
3. Create a [job](https://github.com/allegroai/clearml/docs/clearml-task.md) or Add [ClearML](https://github.com/allegroai/clearml) to your code with just 2 lines
4. Change the [parameters](#using-the-clearml-agent) in the UI & schedule for [execution](#using-the-clearml-agent) (or automate with an [AutoML pipeline](#automl-and-orchestration-pipelines-))
1. ClearML Server [self-hosted](https://github.com/allegroai/clearml-server)
or [free tier hosting](https://app.clear.ml)
2. `pip install clearml-agent` ([install](#installing-the-clearml-agent) the ClearML Agent on any GPU machine:
on-premises / cloud / ...)
3. Create a [job](https://github.com/allegroai/clearml/docs/clearml-task.md) or
Add [ClearML](https://github.com/allegroai/clearml) to your code with just 2 lines
4. Change the [parameters](#using-the-clearml-agent) in the UI & schedule for [execution](#using-the-clearml-agent) (or
automate with an [AutoML pipeline](#automl-and-orchestration-pipelines-))
5. :chart_with_downwards_trend: :chart_with_upwards_trend: :eyes: :beer:
"All the Deep/Machine-Learning DevOps your research needs, and then some... Because ain't nobody got time for that"
**Try ClearML now** [Self Hosted](https://github.com/allegroai/clearml-server) or [Free tier Hosting](https://app.community.clear.ml)
<a href="https://app.community.clear.ml"><img src="https://github.com/allegroai/clearml-agent/blob/master/docs/screenshots.gif?raw=true" width="100%"></a>
**Try ClearML now** [Self Hosted](https://github.com/allegroai/clearml-server)
or [Free tier Hosting](https://app.clear.ml)
<a href="https://app.clear.ml"><img src="https://github.com/allegroai/clearml-agent/blob/master/docs/screenshots.gif?raw=true" width="100%"></a>
### Simple, Flexible Experiment Orchestration
**The ClearML Agent was built to address the DL/ML R&D DevOps needs:**
* Easily add & remove machines from the cluster
@@ -56,18 +64,23 @@ It is a zero configuration fire-and-forget execution agent, providing a full ML/
*epsilon - Because we are :triangular_ruler: and nothing is really zero work
### Kubernetes Integration (Optional)
We think Kubernetes is awesome, but it should be a choice.
We designed `clearml-agent` so you can run bare-metal or inside a pod with any mix that fits your environment.
#### Benefits of integrating existing K8s with ClearML-Agent
We think Kubernetes is awesome, but it should be a choice. We designed `clearml-agent` so you can run bare-metal or
inside a pod with any mix that fits your environment.
Find Dockerfiles in the [docker](./docker) dir and a helm Chart in https://github.com/allegroai/clearml-helm-charts
#### Benefits of integrating existing K8s with ClearML-Agent
- ClearML-Agent adds the missing scheduling capabilities to K8s
- Allowing for more flexible automation from code
- A programmatic interface for easier learning curve (and debugging)
- Seamless integration with ML/DL experiment manager
- Web UI for customization, scheduling & prioritization of jobs
- Web UI for customization, scheduling & prioritization of jobs
**Two K8s integration flavours**
**Two K8s integration flavours**
- Spin ClearML-Agent as a long-lasting service pod
- use [clearml-agent](https://hub.docker.com/r/allegroai/clearml-agent) docker image
- map docker socket into the pod (soon replaced by [podman](https://github.com/containers/podman))
@@ -75,57 +88,66 @@ We designed `clearml-agent` so you can run bare-metal or inside a pod with any m
- benefits: full use of the ClearML scheduling, no need to worry about wrong container images / lost pods etc.
- downside: Sibling containers
- Kubernetes Glue, map ClearML jobs directly to K8s jobs
- Run the [clearml-k8s glue](https://github.com/allegroai/clearml-agent/blob/master/examples/k8s_glue_example.py) on a K8s cpu node
- The clearml-k8s glue pulls jobs from the ClearML job execution queue and prepares a K8s job (based on provided yaml template)
- Inside the pod itself the clearml-agent will install the job (experiment) environment and spin and monitor the experiment's process
- Run the [clearml-k8s glue](https://github.com/allegroai/clearml-agent/blob/master/examples/k8s_glue_example.py) on
a K8s cpu node
- The clearml-k8s glue pulls jobs from the ClearML job execution queue and prepares a K8s job (based on provided
yaml template)
- Inside the pod itself the clearml-agent will install the job (experiment) environment and spin and monitor the
experiment's process
- benefits: Kubernetes full view of all running jobs in the system
- downside: No real scheduling (k8s scheduler), no docker image verification (post-mortem only)
- downside: No real scheduling (k8s scheduler), no docker image verification (post-mortem only)
### Using the ClearML Agent
**Full scale HPC with a click of a button**
The ClearML Agent is a job scheduler that listens on job queue(s), pulls jobs, sets the job environments, executes the job and monitors its progress.
The ClearML Agent is a job scheduler that listens on job queue(s), pulls jobs, sets the job environments, executes the
job and monitors its progress.
Any 'Draft' experiment can be scheduled for execution by a ClearML agent.
A previously run experiment can be put into 'Draft' state by either of two methods:
* Using the **'Reset'** action from the experiment right-click context menu in the
ClearML UI - This will clear any results and artifacts the previous run had created.
* Using the **'Clone'** action from the experiment right-click context menu in the
ClearML UI - This will create a new 'Draft' experiment with the same configuration as the original experiment.
An experiment is scheduled for execution using the **'Enqueue'** action from the experiment
right-click context menu in the ClearML UI and selecting the execution queue.
* Using the **'Reset'** action from the experiment right-click context menu in the ClearML UI - This will clear any
results and artifacts the previous run had created.
* Using the **'Clone'** action from the experiment right-click context menu in the ClearML UI - This will create a new '
Draft' experiment with the same configuration as the original experiment.
An experiment is scheduled for execution using the **'Enqueue'** action from the experiment right-click context menu in
the ClearML UI and selecting the execution queue.
See [creating an experiment and enqueuing it for execution](#from-scratch).
Once an experiment is enqueued, it will be picked up and executed by a ClearML agent monitoring this queue.
The ClearML UI Workers & Queues page provides ongoing execution information:
- Workers Tab: Monitor you cluster
- Workers Tab: Monitor you cluster
- Review available resources
- Monitor machines statistics (CPU / GPU / Disk / Network)
- Queues Tab:
- Queues Tab:
- Control the scheduling order of jobs
- Cancel or abort job execution
- Move jobs between execution queues
#### What The ClearML Agent Actually Does
The ClearML Agent executes experiments using the following process:
- Create a new virtual environment (or launch the selected docker image)
- Clone the code into the virtual-environment (or inside the docker)
- Install python packages based on the package requirements listed for the experiment
- Special note for PyTorch: The ClearML Agent will automatically select the
torch packages based on the CUDA_VERSION environment variable of the machine
- Execute the code, while monitoring the process
- Log all stdout/stderr in the ClearML UI, including the cloning and installation process, for easy debugging
- Monitor the execution and allow you to manually abort the job using the ClearML UI (or, in the unfortunate case of a code crash, catch the error and signal the experiment has failed)
- Create a new virtual environment (or launch the selected docker image)
- Clone the code into the virtual-environment (or inside the docker)
- Install python packages based on the package requirements listed for the experiment
- Special note for PyTorch: The ClearML Agent will automatically select the torch packages based on the CUDA_VERSION
environment variable of the machine
- Execute the code, while monitoring the process
- Log all stdout/stderr in the ClearML UI, including the cloning and installation process, for easy debugging
- Monitor the execution and allow you to manually abort the job using the ClearML UI (or, in the unfortunate case of a
code crash, catch the error and signal the experiment has failed)
#### System Design & Flow
<img src="https://github.com/allegroai/clearml-agent/blob/master/docs/clearml_architecture.png" width="100%" alt="clearml-architecture">
#### Installing the ClearML Agent
```bash
@@ -135,6 +157,7 @@ pip install clearml-agent
#### ClearML Agent Usage Examples
Full Interface and capabilities are available with
```bash
clearml-agent --help
clearml-agent daemon --help
@@ -146,7 +169,8 @@ clearml-agent daemon --help
clearml-agent init
```
Note: The ClearML Agent uses a cache folder to cache pip packages, apt packages and cloned repositories. The default ClearML Agent cache folder is `~/.clearml`
Note: The ClearML Agent uses a cache folder to cache pip packages, apt packages and cloned repositories. The default
ClearML Agent cache folder is `~/.clearml`
See full details in your configuration file at `~/clearml.conf`
@@ -156,29 +180,36 @@ They are designed to share the same configuration file, see example [here](docs/
#### Running the ClearML Agent
For debug and experimentation, start the ClearML agent in `foreground` mode, where all the output is printed to screen
```bash
clearml-agent daemon --queue default --foreground
```
For actual service mode, all the stdout will be stored automatically into a temporary file (no need to pipe)
Notice: with `--detached` flag, the *clearml-agent* will be running in the background
```bash
clearml-agent daemon --detached --queue default
```
GPU allocation is controlled via the standard OS environment `NVIDIA_VISIBLE_DEVICES` or `--gpus` flag (or disabled with `--cpu-only`).
GPU allocation is controlled via the standard OS environment `NVIDIA_VISIBLE_DEVICES` or `--gpus` flag (or disabled
with `--cpu-only`).
If no flag is set, and `NVIDIA_VISIBLE_DEVICES` variable doesn't exist, all GPU's will be allocated for the `clearml-agent` <br>
If `--cpu-only` flag is set, or `NVIDIA_VISIBLE_DEVICES` is an empty string (""), no gpu will be allocated for the `clearml-agent`
If no flag is set, and `NVIDIA_VISIBLE_DEVICES` variable doesn't exist, all GPU's will be allocated for
the `clearml-agent` <br>
If `--cpu-only` flag is set, or `NVIDIA_VISIBLE_DEVICES="none"`, no gpu will be allocated for
the `clearml-agent`
Example: spin two agents, one per gpu on the same machine:
Notice: with `--detached` flag, the *clearml-agent* will be running in the background
```bash
clearml-agent daemon --detached --gpus 0 --queue default
clearml-agent daemon --detached --gpus 1 --queue default
```
Example: spin two agents, pulling from dedicated `dual_gpu` queue, two gpu's per agent
```bash
clearml-agent daemon --detached --gpus 0,1 --queue dual_gpu
clearml-agent daemon --detached --gpus 2,3 --queue dual_gpu
@@ -187,23 +218,29 @@ clearml-agent daemon --detached --gpus 2,3 --queue dual_gpu
##### Starting the ClearML Agent in docker mode
For debug and experimentation, start the ClearML agent in `foreground` mode, where all the output is printed to screen
```bash
clearml-agent daemon --queue default --docker --foreground
```
For actual service mode, all the stdout will be stored automatically into a file (no need to pipe)
Notice: with `--detached` flag, the *clearml-agent* will be running in the background
```bash
clearml-agent daemon --detached --queue default --docker
```
Example: spin two agents, one per gpu on the same machine, with default nvidia/cuda:10.1-cudnn7-runtime-ubuntu18.04 docker:
Example: spin two agents, one per gpu on the same machine, with default nvidia/cuda:10.1-cudnn7-runtime-ubuntu18.04
docker:
```bash
clearml-agent daemon --detached --gpus 0 --queue default --docker nvidia/cuda:10.1-cudnn7-runtime-ubuntu18.04
clearml-agent daemon --detached --gpus 1 --queue default --docker nvidia/cuda:10.1-cudnn7-runtime-ubuntu18.04
```
Example: spin two agents, pulling from dedicated `dual_gpu` queue, two gpu's per agent, with default nvidia/cuda:10.1-cudnn7-runtime-ubuntu18.04 docker:
Example: spin two agents, pulling from dedicated `dual_gpu` queue, two gpu's per agent, with default nvidia/cuda:
10.1-cudnn7-runtime-ubuntu18.04 docker:
```bash
clearml-agent daemon --detached --gpus 0,1 --queue dual_gpu --docker nvidia/cuda:10.1-cudnn7-runtime-ubuntu18.04
clearml-agent daemon --detached --gpus 2,3 --queue dual_gpu --docker nvidia/cuda:10.1-cudnn7-runtime-ubuntu18.04
@@ -214,55 +251,61 @@ clearml-agent daemon --detached --gpus 2,3 --queue dual_gpu --docker nvidia/cuda
Priority Queues are also supported, example use case:
High priority queue: `important_jobs` Low priority queue: `default`
```bash
clearml-agent daemon --queue important_jobs default
```
The **ClearML Agent** will first try to pull jobs from the `important_jobs` queue, only then it will fetch a job from the `default` queue.
Adding queues, managing job order within a queue and moving jobs between queues, is available using the Web UI, see example on our [free server](https://app.community.clear.ml/workers-and-queues/queues)
The **ClearML Agent** will first try to pull jobs from the `important_jobs` queue, only then it will fetch a job from
the `default` queue.
Adding queues, managing job order within a queue and moving jobs between queues, is available using the Web UI, see
example on our [free server](https://app.clear.ml/workers-and-queues/queues)
##### Stopping the ClearML Agent
To stop a **ClearML Agent** running in the background, run the same command line used to start the agent with `--stop` appended.
For example, to stop the first of the above shown same machine, single gpu agents:
To stop a **ClearML Agent** running in the background, run the same command line used to start the agent with `--stop`
appended. For example, to stop the first of the above shown same machine, single gpu agents:
```bash
clearml-agent daemon --detached --gpus 0 --queue default --docker nvidia/cuda:10.1-cudnn7-runtime-ubuntu18.04 --stop
```
### How do I create an experiment on the ClearML Server? <a name="from-scratch"></a>
* Integrate [ClearML](https://github.com/allegroai/clearml) with your code
* Execute the code on your machine (Manually / PyCharm / Jupyter Notebook)
* As your code is running, **ClearML** creates an experiment logging all the necessary execution information:
- Git repository link and commit ID (or an entire jupyter notebook)
- Git diff (were not saying you never commit and push, but still...)
- Python packages used by your code (including specific versions used)
- Hyper-Parameters
- Input Artifacts
- Git repository link and commit ID (or an entire jupyter notebook)
- Git diff (were not saying you never commit and push, but still...)
- Python packages used by your code (including specific versions used)
- Hyper-Parameters
- Input Artifacts
You now have a 'template' of your experiment with everything required for automated execution
* In the ClearML UI, Right click on the experiment and select 'clone'. A copy of your experiment will be created.
* In the ClearML UI, Right-click on the experiment and select 'clone'. A copy of your experiment will be created.
* You now have a new draft experiment cloned from your original experiment, feel free to edit it
- Change the Hyper-Parameters
- Switch to the latest code base of the repository
- Update package versions
- Select a specific docker image to run in (see docker execution mode section)
- Or simply change nothing to run the same experiment again...
- Change the Hyper-Parameters
- Switch to the latest code base of the repository
- Update package versions
- Select a specific docker image to run in (see docker execution mode section)
- Or simply change nothing to run the same experiment again...
* Schedule the newly created experiment for execution: Right-click the experiment and select 'enqueue'
### ClearML-Agent Services Mode <a name="services"></a>
ClearML-Agent Services is a special mode of ClearML-Agent that provides the ability to launch long-lasting jobs
that previously had to be executed on local / dedicated machines. It allows a single agent to
launch multiple dockers (Tasks) for different use cases. To name a few use cases, auto-scaler service (spinning instances
when the need arises and the budget allows), Controllers (Implementing pipelines and more sophisticated DevOps logic),
Optimizer (such as Hyper-parameter Optimization or sweeping), and Application (such as interactive Bokeh apps for
increased data transparency)
ClearML-Agent Services is a special mode of ClearML-Agent that provides the ability to launch long-lasting jobs that
previously had to be executed on local / dedicated machines. It allows a single agent to launch multiple dockers (Tasks)
for different use cases. To name a few use cases, auto-scaler service (spinning instances when the need arises and the
budget allows), Controllers (Implementing pipelines and more sophisticated DevOps logic), Optimizer (such as
Hyper-parameter Optimization or sweeping), and Application (such as interactive Bokeh apps for increased data
transparency)
ClearML-Agent Services mode will spin **any** task enqueued into the specified queue.
Every task launched by ClearML-Agent Services will be registered as a new node in the system,
providing tracking and transparency capabilities.
Currently clearml-agent in services-mode supports cpu only configuration. ClearML-agent services mode can be launched alongside GPU agents.
ClearML-Agent Services mode will spin **any** task enqueued into the specified queue. Every task launched by
ClearML-Agent Services will be registered as a new node in the system, providing tracking and transparency capabilities.
Currently clearml-agent in services-mode supports cpu only configuration. ClearML-agent services mode can be launched
alongside GPU agents.
```bash
clearml-agent daemon --services-mode --detached --queue services --create-queue --docker ubuntu:18.04 --cpu-only
@@ -270,22 +313,27 @@ clearml-agent daemon --services-mode --detached --queue services --create-queue
**Note**: It is the user's responsibility to make sure the proper tasks are pushed into the specified queue.
### AutoML and Orchestration Pipelines <a name="automl-pipes"></a>
The ClearML Agent can also be used to implement AutoML orchestration and Experiment Pipelines in conjunction with the ClearML package.
Sample AutoML & Orchestration examples can be found in the ClearML [example/automation](https://github.com/allegroai/clearml/tree/master/examples/automation) folder.
The ClearML Agent can also be used to implement AutoML orchestration and Experiment Pipelines in conjunction with the
ClearML package.
Sample AutoML & Orchestration examples can be found in the
ClearML [example/automation](https://github.com/allegroai/clearml/tree/master/examples/automation) folder.
AutoML examples
- [Toy Keras training experiment](https://github.com/allegroai/clearml/blob/master/examples/optimization/hyper-parameter-optimization/base_template_keras_simple.py)
- [Toy Keras training experiment](https://github.com/allegroai/clearml/blob/master/examples/optimization/hyper-parameter-optimization/base_template_keras_simple.py)
- In order to create an experiment-template in the system, this code must be executed once manually
- [Random Search over the above Keras experiment-template](https://github.com/allegroai/clearml/blob/master/examples/automation/manual_random_param_search_example.py)
- This example will create multiple copies of the Keras experiment-template, with different hyper-parameter combinations
- [Random Search over the above Keras experiment-template](https://github.com/allegroai/clearml/blob/master/examples/automation/manual_random_param_search_example.py)
- This example will create multiple copies of the Keras experiment-template, with different hyper-parameter
combinations
Experiment Pipeline examples
- [First step experiment](https://github.com/allegroai/clearml/blob/master/examples/automation/task_piping_example.py)
- [First step experiment](https://github.com/allegroai/clearml/blob/master/examples/automation/task_piping_example.py)
- This example will "process data", and once done, will launch a copy of the 'second step' experiment-template
- [Second step experiment](https://github.com/allegroai/clearml/blob/master/examples/automation/toy_base_task.py)
- [Second step experiment](https://github.com/allegroai/clearml/blob/master/examples/automation/toy_base_task.py)
- In order to create an experiment-template in the system, this code must be executed once manually
### License

View File

@@ -12,7 +12,7 @@ from clearml_agent.definitions import FileBuffering, CONFIG_FILE
from clearml_agent.helper.base import reverse_home_folder_expansion, chain_map, named_temporary_file
from clearml_agent.helper.process import ExitStatus
from . import interface, session, definitions, commands
from .errors import ConfigFileNotFound, Sigterm, APIError
from .errors import ConfigFileNotFound, Sigterm, APIError, CustomBuildScriptFailed
from .helper.trace import PackageTrace
from .interface import get_parser
@@ -44,6 +44,8 @@ def run_command(parser, args, command_name):
debug = command._session.debug_mode
func = getattr(command, command_name)
return func(**args_dict)
except CustomBuildScriptFailed as e:
command_class.exit(e.message, e.errno)
except ConfigFileNotFound:
message = 'Cannot find configuration file in "{}".\n' \
'To create a configuration file, run:\n' \

View File

@@ -11,8 +11,15 @@
# Set GIT user/pass credentials (if user/pass are set, GIT protocol will be set to https)
# leave blank for GIT SSH credentials (set force_git_ssh_protocol=true to force SSH protocol)
# **Notice**: GitHub personal token is equivalent to password, you can put it directly into `git_pass`
# To learn how to generate git token GitHub/Bitbucket/GitLab:
# https://docs.github.com/en/authentication/keeping-your-account-and-data-secure/creating-a-personal-access-token
# https://support.atlassian.com/bitbucket-cloud/docs/app-passwords/
# https://docs.gitlab.com/ee/user/profile/personal_access_tokens.html
# git_user: ""
# git_pass: ""
# Limit credentials to a single domain, for example: github.com,
# all other domains will use public access (no user/pass). Default: always send user/pass for any VCS domain
# git_host: ""
# Force GIT protocol to use SSH regardless of the git url (Assumes GIT user/pass are blank)
@@ -30,6 +37,22 @@
# specific python version and the system supports multiple python the agent will use the requested python version)
# ignore_requested_python_version: true
# Force the root folder of the git repository (instead of the working directory) into the PYHTONPATH
# default false, only the working directory will be added to the PYHTONPATH
# force_git_root_python_path: false
# if set, use GIT_ASKPASS to pass user/pass when cloning / fetch repositories
# it solves passing user/token to git submodules.
# this is a safer way to ensure multiple users using the same repository will
# not accidentally leak credentials
# Only supported on Linux systems, it will be the default in future releases
# enable_git_ask_pass: false
# in docker mode, if container's entrypoint automatically activated a virtual environment
# use the activated virtual environment and install everything there
# set to False to disable, and always create a new venv inheriting from the system_site_packages
# docker_use_activated_venv: true
# select python package manager:
# currently supported: pip, conda and poetry
# if "pip" or "conda" are used, the agent installs the required packages
@@ -42,17 +65,20 @@
# supported options: pip, conda, poetry
type: pip,
# specify pip version to use (examples "<20", "==19.3.1", "", empty string will install the latest version)
pip_version: "<20.2",
# specify pip version to use (examples "<20.2", "==19.3.1", "", empty string will install the latest version)
pip_version: ["<20.2 ; python_version < '3.10'", "<22.3 ; python_version >= '3.10'"],
# specify poetry version to use (examples "<2", "==1.1.1", "", empty string will install the latest version)
# poetry_version: "<2",
# poetry_install_extra_args: ["-v"]
# virtual environment inheres packages from system
# virtual environment inherits packages from system
system_site_packages: false,
# install with --upgrade
force_upgrade: false,
# additional artifact repositories to use when installing python packages
# extra_index_url: ["https://allegroai.jfrog.io/clearmlai/api/pypi/public/simple"]
# extra_index_url: ["https://allegroai.jfrog.io/clearml/api/pypi/public/simple"]
# additional conda channels to use when installing with conda package manager
conda_channels: ["pytorch", "conda-forge", "defaults", ]
@@ -67,7 +93,7 @@
# set the optional priority packages to be installed before the rest of the required packages,
# In case a package installation fails, the package will be ignored,
# and the virtual environment process will continue
# priority_optional_packages: ["pygobject", ]
priority_optional_packages: ["pygobject", ]
# set the post packages to be installed after all the rest of the required packages
# post_packages: ["horovod", ]
@@ -80,6 +106,10 @@
# set to True to support torch nightly build installation,
# notice: torch nightly builds are ephemeral and are deleted from time to time
torch_nightly: false,
# if set to true, the agent will look for the "poetry.lock" file
# in the passed current working directory instead of the repository's root directory.
poetry_files_from_repo_working_dir: false
},
# target folder for virtual environments builds, created when executing experiment
@@ -92,7 +122,7 @@
# minimum required free space to allow for cache entry, disable by passing 0 or negative value
free_space_threshold_gb: 2.0
# unmark to enable virtual environment caching
# path: ~/.clearml/venvs-cache
path: ~/.clearml/venvs-cache
},
# cached git clone folder
@@ -114,6 +144,12 @@
},
translate_ssh: true,
# set "disable_ssh_mount: true" to disable the automatic mount of ~/.ssh folder into the docker containers
# default is false, automatically mounts ~/.ssh
# Must be set to True if using "clearml-session" with this agent!
# disable_ssh_mount: false
# reload configuration file every daemon execution
reload_config: false,
@@ -156,7 +192,7 @@
default_docker: {
# default docker image to use when running in docker mode
image: "nvidia/cuda:10.1-cudnn7-runtime-ubuntu18.04"
image: "nvidia/cuda:10.2-cudnn7-runtime-ubuntu18.04"
# optional arguments to pass to docker image
# arguments: ["--ipc=host", ]
@@ -186,8 +222,8 @@
# default is True, report a single \r line in a sequence of consecutive lines, per 5 seconds.
# suppress_carriage_return: true
# cuda versions used for solving pytorch wheel packages
# should be detected automatically. Override with os environment CUDA_VERSION / CUDNN_VERSION
# CUDA versions used for Conda setup & solving PyTorch wheel packages
# Should be detected automatically. Override with os environment CUDA_VERSION / CUDNN_VERSION
# cuda_version: 10.1
# cudnn_version: 7.6
@@ -201,24 +237,152 @@
hide_docker_command_env_vars {
enabled: true
extra_keys: []
parse_embedded_urls: true
}
# Maximum execution time (in seconds) for Task's abort function call
abort_callback_max_timeout: 1800
# allow to set internal mount points inside the docker,
# especially useful for non-root docker container images.
docker_internal_mounts {
sdk_cache: "/clearml_agent_cache"
apt_cache: "/var/cache/apt/archives"
ssh_folder: "/root/.ssh"
ssh_folder: "~/.ssh"
ssh_ro_folder: "/.ssh"
pip_cache: "/root/.cache/pip"
poetry_cache: "/root/.cache/pypoetry"
vcs_cache: "/root/.clearml/vcs-cache"
venv_build: "/root/.clearml/venvs-builds"
venv_build: "~/.clearml/venvs-builds"
pip_download: "/root/.clearml/pip-download-cache"
}
# Name docker containers created by the daemon using the following string format (supported from Docker 0.6.5)
# Allowed variables are task_id, worker_id and rand_string (random lower-case letters string, up to 32 charaters)
# Note: resulting name must start with an alpha-numeric character and continue with a alpha-numeric characters,
# underscores (_), dots (.) and/or dashes (-)
#docker_container_name_format: "clearml-id-{task_id}-{rand_string:.8}"
# Allowed variables are task_id, worker_id and rand_string (random lower-case letters string, up to 32 characters)
# Note: resulting name must start with an alphanumeric character and
# continue with alphanumeric characters, underscores (_), dots (.) and/or dashes (-)
# docker_container_name_format: "clearml-id-{task_id}-{rand_string:.8}"
# Apply top-level environment section from configuration into os.environ
apply_environment: true
# Top-level environment section is in the form of:
# environment {
# key: value
# ...
# }
# and is applied to the OS environment as `key=value` for each key/value pair
# Apply top-level files section from configuration into local file system
apply_files: true
# Top-level files section allows auto-generating files at designated paths with a predefined contents
# and target format. Options include:
# contents: the target file's content, typically a string (or any base type int/float/list/dict etc.)
# format: a custom format for the contents. Currently supported value is `base64` to automatically decode a
# base64-encoded contents string, otherwise ignored
# path: the target file's path, may include ~ and inplace env vars
# target_format: format used to encode contents before writing into the target file. Supported values are json,
# yaml, yml and bytes (in which case the file will be written in binary mode). Default is text mode.
# overwrite: overwrite the target file in case it exists. Default is true.
#
# Example:
# files {
# myfile1 {
# contents: "The quick brown fox jumped over the lazy dog"
# path: "/tmp/fox.txt"
# }
# myjsonfile {
# contents: {
# some {
# nested {
# value: [1, 2, 3, 4]
# }
# }
# }
# path: "/tmp/test.json"
# target_format: json
# }
# }
# Specifies a custom environment setup script to be executed instead of installing a virtual environment.
# If provided, this script is executed following Git cloning. Script command may include environment variable and
# will be expanded before execution (e.g. "$CLEARML_GIT_ROOT/script.sh").
# The script can also be specified using the CLEARML_AGENT_CUSTOM_BUILD_SCRIPT environment variable.
#
# When running the script, the following environment variables will be set:
# - CLEARML_CUSTOM_BUILD_TASK_CONFIG_JSON: specifies a path to a temporary files containing the complete task
# contents in JSON format
# - CLEARML_TASK_SCRIPT_ENTRY: task entrypoint script as defined in the task's script section
# - CLEARML_TASK_WORKING_DIR: task working directory as defined in the task's script section
# - CLEARML_VENV_PATH: path to the agent's default virtual environment path (as defined in the configuration)
# - CLEARML_GIT_ROOT: path to the cloned Git repository
# - CLEARML_CUSTOM_BUILD_OUTPUT: a path to a non-existing file that may be created by the script. If created,
# this file must be in the following JSON format:
# ```json
# {
# "binary": "/absolute/path/to/python-executable",
# "entry_point": "/absolute/path/to/task-entrypoint-script",
# "working_dir": "/absolute/path/to/task-working/dir"
# }
# ```
# If provided, the agent will use these instead of the predefined task script section to execute the task and will
# skip virtual environment creation.
#
# In case the custom script returns with a non-zero exit code, the agent will fail with the same exit code.
# In case the custom script is specified but does not exist, or if the custom script does not write valid content
# into the file specified in CLEARML_CUSTOM_BUILD_OUTPUT, the agent will emit a warning and continue with the
# standard flow.
custom_build_script: ""
# Crash on exception: by default when encountering an exception while running a task,
# the agent will catch the exception, log it and continue running.
# Set this to `true` to propagate exceptions and crash the agent.
# crash_on_exception: true
# Disable task docker override. If true, the agent will use the default docker image and ignore any docker image
# and arguments specified in the task's container section (setup shell script from the task container section will
# be used in any case, if specified).
disable_task_docker_override: false
# Choose the default docker based on the Task properties,
# Examples: 'script.requirements', 'script.binary', 'script.repository', 'script.branch', 'project'
# Notice: Matching is done via regular expression, for example "^searchme$" will match exactly "searchme$" string
#
# "default_docker": {
# "image": "nvidia/cuda:10.2-cudnn7-runtime-ubuntu18.04",
# # optional arguments to pass to docker image
# # arguments: ["--ipc=host", ]
# "match_rules": [
# {
# "image": "sample_container:tag",
# "arguments": "-e VALUE=1 --ipc=host",
# "match": {
# "script": {
# "requirements": {
# "pip": {
# "tensorflow": "~=1.6"
# }
# },
# "repository": "",
# "branch": "master"
# },
# "project": "example"
# }
# },
# {
# "image": "better_container:tag",
# "arguments": "",
# "match": {
# "container": "replace_me_please"
# }
# },
# {
# "image": "another_container:tag",
# "arguments": "",
# "match": {
# "project": "^examples", # anything that starts with "examples", e.g. "examples", "examples/sub_project"
# }
# }
# ]
# },
#
}

View File

@@ -28,6 +28,9 @@
pool_maxsize: 512
pool_connections: 512
# Override the default http method, use "put" if working behind GCP load balancer (default: "get")
# default_method: "get"
}
auth {

View File

@@ -4,7 +4,7 @@ import re
import attr
import six
import pyhocon
from clearml_agent.external import pyhocon
from .action import Action

View File

@@ -66,11 +66,16 @@ class DataModel(object):
}
def validate(self, schema=None):
jsonschema.validate(
self.to_dict(),
schema or self._schema,
types=dict(array=(list, tuple), integer=six.integer_types),
schema = schema or self._schema
validator = jsonschema.validators.validator_for(schema)
validator_cls = jsonschema.validators.extend(
validator=validator,
type_checker=validator.TYPE_CHECKER.redefine_many({
"array": lambda s, instance: isinstance(instance, (list, tuple)),
"integer": lambda s, instance: isinstance(instance, six.integer_types),
}),
)
jsonschema.validate(self.to_dict(), schema, cls=validator_cls)
def __repr__(self):
return '<{}.{}: {}>'.format(

View File

@@ -13,6 +13,19 @@ ENV_HOST_VERIFY_CERT = EnvEntry("CLEARML_API_HOST_VERIFY_CERT", "TRAINS_API_HOST
ENV_CONDA_ENV_PACKAGE = EnvEntry("CLEARML_CONDA_ENV_PACKAGE", "TRAINS_CONDA_ENV_PACKAGE")
ENV_NO_DEFAULT_SERVER = EnvEntry("CLEARML_NO_DEFAULT_SERVER", "TRAINS_NO_DEFAULT_SERVER", type=bool, default=True)
ENV_DISABLE_VAULT_SUPPORT = EnvEntry('CLEARML_AGENT_DISABLE_VAULT_SUPPORT', type=bool)
ENV_ENABLE_ENV_CONFIG_SECTION = EnvEntry('CLEARML_AGENT_ENABLE_ENV_CONFIG_SECTION', type=bool)
ENV_ENABLE_FILES_CONFIG_SECTION = EnvEntry('CLEARML_AGENT_ENABLE_FILES_CONFIG_SECTION', type=bool)
ENV_VENV_CONFIGURED = EnvEntry('VIRTUAL_ENV', type=str)
ENV_PROPAGATE_EXITCODE = EnvEntry("CLEARML_AGENT_PROPAGATE_EXITCODE", type=bool, default=False)
ENV_INITIAL_CONNECT_RETRY_OVERRIDE = EnvEntry(
'CLEARML_AGENT_INITIAL_CONNECT_RETRY_OVERRIDE', default=True, converter=safe_text_to_bool
)
"""
Experimental option to set the request method for all API requests and auth login.
This could be useful when GET requests with payloads are blocked by a server as
POST requests can be used instead.
However this has not been vigorously tested and may have unintended consequences.
"""
ENV_API_DEFAULT_REQ_METHOD = EnvEntry("CLEARML_API_DEFAULT_REQ_METHOD", default="GET")

View File

@@ -5,10 +5,18 @@ import six
from .apimodel import ApiModel
from .datamodel import DataModel
from .defs import ENV_API_DEFAULT_REQ_METHOD
if ENV_API_DEFAULT_REQ_METHOD.get().upper() not in ("GET", "POST", "PUT"):
raise ValueError(
"CLEARML_API_DEFAULT_REQ_METHOD environment variable must be 'get' or 'post' (any case is allowed)."
)
class Request(ApiModel):
_method = 'get'
def_method = ENV_API_DEFAULT_REQ_METHOD.get(default="get")
_method = ENV_API_DEFAULT_REQ_METHOD.get(default="get")
def __init__(self, **kwargs):
if kwargs:

View File

@@ -2,20 +2,25 @@
import json as json_lib
import os
import sys
import time
import types
from random import SystemRandom
from socket import gethostname
from typing import Optional
import jwt
import requests
import six
from pyhocon import ConfigTree, ConfigFactory
from requests import RequestException
from requests.auth import HTTPBasicAuth
from six.moves.urllib.parse import urlparse, urlunparse
from clearml_agent.external.pyhocon import ConfigTree, ConfigFactory
from .callresult import CallResult
from .defs import ENV_VERBOSE, ENV_HOST, ENV_ACCESS_KEY, ENV_SECRET_KEY, ENV_WEB_HOST, ENV_FILES_HOST, ENV_AUTH_TOKEN, \
ENV_NO_DEFAULT_SERVER, ENV_DISABLE_VAULT_SUPPORT, ENV_INITIAL_CONNECT_RETRY_OVERRIDE
from .defs import (
ENV_VERBOSE, ENV_HOST, ENV_ACCESS_KEY, ENV_SECRET_KEY, ENV_WEB_HOST, ENV_FILES_HOST, ENV_AUTH_TOKEN,
ENV_NO_DEFAULT_SERVER, ENV_DISABLE_VAULT_SUPPORT, ENV_INITIAL_CONNECT_RETRY_OVERRIDE, ENV_API_DEFAULT_REQ_METHOD, )
from .request import Request, BatchRequest
from .token_manager import TokenManager
from ..config import load
@@ -24,6 +29,9 @@ from ...backend_config.environment import backward_compatibility_support
from ...version import __version__
sys_random = SystemRandom()
class LoginError(Exception):
pass
@@ -47,6 +55,7 @@ class Session(TokenManager):
_session_initial_retry_connect_override = 4
_write_session_data_size = 15000
_write_session_timeout = (30.0, 30.)
_request_exception_retry_timeout = (2.0, 3.0)
api_version = '2.1'
feature_set = 'basic'
@@ -109,6 +118,9 @@ class Session(TokenManager):
self._verbose = verbose if verbose is not None else ENV_VERBOSE.get()
self._logger = logger
self.__auth_token = None
self._propagate_exceptions_on_send = True
self.update_default_api_method()
if ENV_AUTH_TOKEN.get(
value_cb=lambda key, value: print("Using environment access token {}=********".format(key))
@@ -142,7 +154,7 @@ class Session(TokenManager):
"Could not find host server definition "
"(missing `~/clearml.conf` or Environment CLEARML_API_HOST)\n"
"To get started with ClearML: setup your own `clearml-server`, "
"or create a free account at https://app.community.clear.ml and run `clearml-agent init`"
"or create a free account at https://app.clear.ml and run `clearml-agent init`"
)
self.__host = host.strip("/")
@@ -163,6 +175,10 @@ class Session(TokenManager):
)
# try to connect with the server
self.refresh_token()
# for resilience, from now on we won't allow propagating exceptions when sending requests
self._propagate_exceptions_on_send = False
# create the default session with many retries
http_retries_config, self.__http_session = self._setup_session(http_retries_config)
@@ -183,8 +199,6 @@ class Session(TokenManager):
# notice: this is across the board warning omission
urllib_log_warning_setup(total_retries=http_retries_config.get('total', 0), display_warning_after=3)
self._load_vaults()
def _setup_session(self, http_retries_config, initial_session=False, default_initial_connect_override=None):
# type: (dict, bool, Optional[bool]) -> (dict, requests.Session)
http_retries_config = http_retries_config or self.config.get(
@@ -208,9 +222,24 @@ class Session(TokenManager):
http_retries_config = dict(**http_retries_config)
http_retries_config['connect'] = connect_retries
return http_retries_config, get_http_session_with_retry(**http_retries_config)
return http_retries_config, get_http_session_with_retry(config=self.config or None, **http_retries_config)
def _load_vaults(self):
def update_default_api_method(self):
if ENV_API_DEFAULT_REQ_METHOD.get(default=None):
# Make sure we update the config object, so we pass it into the new containers when we map them
self.config.put("api.http.default_method", ENV_API_DEFAULT_REQ_METHOD.get())
# notice the default setting of Request.def_method are already set by the OS environment
elif self.config.get("api.http.default_method", None):
def_method = str(self.config.get("api.http.default_method", None)).strip()
if def_method.upper() not in ("GET", "POST", "PUT"):
raise ValueError(
"api.http.default_method variable must be 'get', 'post' or 'put' (any case is allowed)."
)
Request.def_method = def_method
Request._method = Request.def_method
def load_vaults(self):
# () -> Optional[bool]
if not self.check_min_api_version("2.15") or self.feature_set == "basic":
return
@@ -231,28 +260,37 @@ class Session(TokenManager):
# noinspection PyBroadException
try:
res = self.send_request("users", "get_vaults", json={"enabled": True, "types": ["config"]})
# Use params and not data/json otherwise payload might be dropped if we're using GET with a strict firewall
res = self.send_request("users", "get_vaults", params="enabled=true&types=config&types=config")
if res.ok:
vaults = res.json().get("data", {}).get("vaults", [])
data = list(filter(None, map(parse, vaults)))
if data:
self.config.set_overrides(*data)
return True
elif res.status_code != 404:
raise Exception(res.json().get("meta", {}).get("result_msg", res.text))
except Exception as ex:
print("Failed getting vaults: {}".format(ex))
def verify_feature_set(self, feature_set):
if isinstance(feature_set, str):
feature_set = [feature_set]
if self.feature_set not in feature_set:
raise ValueError('ClearML-server does not support requested feature set {}'.format(feature_set))
def _send_request(
self,
service,
action,
version=None,
method="get",
method=Request.def_method,
headers=None,
auth=None,
data=None,
json=None,
refresh_token_if_unauthorized=True,
params=None,
):
""" Internal implementation for making a raw API request.
- Constructs the api endpoint name
@@ -276,6 +314,7 @@ class Session(TokenManager):
if version
else "{host}/{service}.{action}"
).format(**locals())
while True:
if data and len(data) > self._write_session_data_size:
timeout = self._write_session_timeout
@@ -283,16 +322,29 @@ class Session(TokenManager):
timeout = self._session_initial_timeout
else:
timeout = self._session_timeout
res = self.__http_session.request(
method, url, headers=headers, auth=auth, data=data, json=json, timeout=timeout)
try:
res = self.__http_session.request(
method, url, headers=headers, auth=auth, data=data, json=json, timeout=timeout, params=params)
except RequestException as ex:
if self._propagate_exceptions_on_send:
raise
sleep_time = sys_random.uniform(*self._request_exception_retry_timeout)
self._logger.error(
"{} exception sending {} {}: {} (retrying in {:.1f}sec)".format(
type(ex).__name__, method.upper(), url, str(ex), sleep_time
)
)
time.sleep(sleep_time)
continue
if (
refresh_token_if_unauthorized
and res.status_code == requests.codes.unauthorized
and not token_refreshed_on_error
):
# it seems we're unauthorized, so we'll try to refresh our token once in case permissions changed since
# the last time we got the token, and try again
# it seems we're unauthorized, so we'll try to refresh our token once in case permissions changed
# since the last time we got the token, and try again
self.refresh_token()
token_refreshed_on_error = True
# try again
@@ -324,11 +376,12 @@ class Session(TokenManager):
service,
action,
version=None,
method="get",
method=Request.def_method,
headers=None,
data=None,
json=None,
async_enable=False,
params=None,
):
"""
Send a raw API request.
@@ -341,6 +394,7 @@ class Session(TokenManager):
content type will be application/json)
:param data: Dictionary, bytes, or file-like object to send in the request body
:param async_enable: whether request is asynchronous
:param params: additional query parameters
:return: requests Response instance
"""
headers = self.add_auth_headers(
@@ -357,6 +411,7 @@ class Session(TokenManager):
headers=headers,
data=data,
json=json,
params=params,
)
def send_request_batch(
@@ -367,7 +422,7 @@ class Session(TokenManager):
headers=None,
data=None,
json=None,
method="get",
method=Request.def_method,
):
"""
Send a raw batch API request. Batch requests always use application/json-lines content type.
@@ -609,14 +664,14 @@ class Session(TokenManager):
res = None
try:
data = {"expiration_sec": exp} if exp else {}
res = self._send_request(
method=Request.def_method,
service="auth",
action="login",
auth=auth,
json=data,
headers=headers,
refresh_token_if_unauthorized=False,
params={"expiration_sec": exp} if exp else {},
)
try:
resp = res.json()
@@ -655,3 +710,13 @@ class Session(TokenManager):
return "{self.__class__.__name__}[{self.host}, {self.access_key}/{secret_key}]".format(
self=self, secret_key=self.secret_key[:5] + "*" * (len(self.secret_key) - 5)
)
@property
def propagate_exceptions_on_send(self):
# type: () -> bool
return self._propagate_exceptions_on_send
@propagate_exceptions_on_send.setter
def propagate_exceptions_on_send(self, value):
# type: (bool) -> None
self._propagate_exceptions_on_send = value

View File

@@ -87,10 +87,16 @@ class TokenManager(object):
@classmethod
def get_decoded_token(cls, token, verify=False):
""" Get token expiration time. If not present, assume forever """
if hasattr(jwt, '__version__') and jwt.__version__[0] == '1':
return jwt.decode(
token,
verify=verify,
algorithms=get_default_algorithms(),
)
return jwt.decode(
token,
verify=verify,
options=dict(verify_signature=False),
options=dict(verify_signature=verify),
algorithms=get_default_algorithms(),
)

View File

@@ -86,7 +86,10 @@ def get_http_session_with_retry(
session = requests.Session()
if backoff_max is not None:
Retry.BACKOFF_MAX = backoff_max
if "BACKOFF_MAX" in vars(Retry):
Retry.BACKOFF_MAX = backoff_max
else:
Retry.DEFAULT_BACKOFF_MAX = backoff_max
retry = Retry(
total=total, connect=connect, read=read, redirect=redirect, status=status,

View File

@@ -7,10 +7,8 @@ import sys
from os.path import expanduser
from typing import Any
import pyhocon
import six
from pathlib2 import Path
from pyhocon import ConfigTree, ConfigFactory
from pyparsing import (
ParseFatalException,
ParseException,
@@ -18,6 +16,9 @@ from pyparsing import (
ParseSyntaxException,
)
from clearml_agent.external import pyhocon
from clearml_agent.external.pyhocon import ConfigTree, ConfigFactory
from .defs import (
Environment,
DEFAULT_CONFIG_FOLDER,
@@ -82,7 +83,7 @@ class Config(object):
relative_to=None,
app=None,
is_server=False,
**_,
**_
):
self._app = app
self._verbose = verbose
@@ -191,16 +192,20 @@ class Config(object):
config, self._read_extra_env_config_values(), copy_trees=True
)
if self._overrides_configs:
config = functools.reduce(
lambda cfg, override: ConfigTree.merge_configs(cfg, override, copy_trees=True),
self._overrides_configs,
config,
)
config = self.resolve_override_configs(config)
config["env"] = env
return config
def resolve_override_configs(self, initial=None):
if not self._overrides_configs:
return initial
return functools.reduce(
lambda cfg, override: ConfigTree.merge_configs(cfg, override, copy_trees=True),
self._overrides_configs,
initial or ConfigTree(),
)
def _read_extra_env_config_values(self) -> ConfigTree:
""" Loads extra configuration from environment-injected values """
result = ConfigTree()
@@ -214,7 +219,7 @@ class Config(object):
.lower()
)
result = ConfigTree.merge_configs(
result, ConfigFactory.parse_string(f"{path}: {os.environ[key]}")
result, ConfigFactory.parse_string("{}: {}".format(path, os.environ[key]))
)
return result
@@ -289,6 +294,12 @@ class Config(object):
)
return value
def put(self, key, value):
self._config.put(key, value)
def pop(self, key, default=None):
return self._config.pop(key, default=default)
def to_dict(self):
return self._config.as_plain_ordered_dict()

View File

@@ -14,6 +14,14 @@ except ImportError:
ConverterType = TypeVar("ConverterType", bound=Callable[[Any], Any])
def text_to_int(value, default=0):
# type: (Any, int) -> int
try:
return int(value)
except (ValueError, TypeError):
return default
def base64_to_text(value):
# type: (Any) -> Text
return base64.b64decode(value).decode("utf-8")

View File

@@ -1,3 +1,14 @@
import base64
import os
from os.path import expandvars, expanduser
from pathlib import Path
from typing import List, TYPE_CHECKING
from clearml_agent.external.pyhocon import HOCONConverter, ConfigTree
if TYPE_CHECKING:
from .config import Config
def get_items(cls):
""" get key/value items from an enum-like class (members represent enumeration key/value) """
@@ -7,3 +18,95 @@ def get_items(cls):
def get_options(cls):
""" get options from an enum-like class (members represent enumeration key/value) """
return get_items(cls).values()
def apply_environment(config):
# type: (Config) -> List[str]
env_vars = config.get("environment", None)
if not env_vars:
return []
if isinstance(env_vars, (list, tuple)):
env_vars = dict(env_vars)
keys = list(filter(None, env_vars.keys()))
for key in keys:
os.environ[str(key)] = str(env_vars[key] or "")
return keys
def apply_files(config):
# type: (Config) -> None
files = config.get("files", None)
if not files:
return
if isinstance(files, (list, tuple)):
files = dict(files)
print("Creating files from configuration")
for key, data in files.items():
path = data.get("path")
fmt = data.get("format", "string")
target_fmt = data.get("target_format", "string")
overwrite = bool(data.get("overwrite", True))
contents = data.get("contents")
target = Path(expanduser(expandvars(path)))
# noinspection PyBroadException
try:
if target.is_dir():
print("Skipped [{}]: is a directory {}".format(key, target))
continue
if not overwrite and target.is_file():
print("Skipped [{}]: file exists {}".format(key, target))
continue
except Exception as ex:
print("Skipped [{}]: can't access {} ({})".format(key, target, ex))
continue
if contents:
try:
if fmt == "base64":
contents = base64.b64decode(contents)
if target_fmt != "bytes":
contents = contents.decode("utf-8")
except Exception as ex:
print("Skipped [{}]: failed decoding {} ({})".format(key, fmt, ex))
continue
# noinspection PyBroadException
try:
target.parent.mkdir(parents=True, exist_ok=True)
except Exception as ex:
print("Skipped [{}]: failed creating path {} ({})".format(key, target.parent, ex))
continue
try:
if target_fmt == "bytes":
try:
target.write_bytes(contents)
except TypeError:
# simpler error so the user won't get confused
raise TypeError("a bytes-like object is required")
else:
try:
if target_fmt == "json":
text = HOCONConverter.to_json(contents)
elif target_fmt in ("yaml", "yml"):
text = HOCONConverter.to_yaml(contents)
else:
if isinstance(contents, ConfigTree):
contents = contents.as_plain_ordered_dict()
text = str(contents)
except Exception as ex:
print("Skipped [{}]: failed encoding to {} ({})".format(key, target_fmt, ex))
continue
target.write_text(text)
print("Saved [{}]: {}".format(key, target))
except Exception as ex:
print("Skipped [{}]: failed saving file {} ({})".format(key, target, ex))
continue

View File

@@ -118,13 +118,15 @@ class ServiceCommandSection(BaseCommandSection):
""" The name of the REST service used by this command """
pass
def get(self, endpoint, *args, session=None, **kwargs):
def get(self, endpoint, *args, service=None, session=None, **kwargs):
session = session or self._session
return session.get(service=self.service, action=endpoint, *args, **kwargs)
service = service or self.service
return session.get(service=service, action=endpoint, *args, **kwargs)
def post(self, endpoint, *args, session=None, **kwargs):
def post(self, endpoint, *args, service=None, session=None, **kwargs):
session = session or self._session
return session.post(service=self.service, action=endpoint, *args, **kwargs)
service = service or self.service
return session.post(service=service, action=endpoint, *args, **kwargs)
def get_with_act_as(self, endpoint, *args, **kwargs):
return self._session.get_with_act_as(service=self.service, action=endpoint, *args, **kwargs)
@@ -347,7 +349,7 @@ class ServiceCommandSection(BaseCommandSection):
except AttributeError:
raise NameResolutionError('Name resolution unavailable for {}'.format(service))
request = request_cls.from_dict(dict(name=name, only_fields=['name', 'id']))
request = request_cls.from_dict(dict(name=re.escape(name), only_fields=['name', 'id']))
# from_dict will ignore unrecognised keyword arguments - not all GetAll's have only_fields
response = getattr(self._session.send_api(request), service)
matches = [db_object for db_object in response if name.lower() == db_object.name.lower()]

View File

@@ -1,20 +1,21 @@
from __future__ import print_function
from six.moves import input
from pyhocon import ConfigFactory, ConfigMissingException
from typing import Dict, Optional
from pathlib2 import Path
from six.moves import input
from six.moves.urllib.parse import urlparse
from clearml_agent.backend_api.session import Session
from clearml_agent.backend_api.session.defs import ENV_HOST
from clearml_agent.backend_config.defs import LOCAL_CONFIG_FILES
from clearml_agent.external.pyhocon import ConfigFactory, ConfigMissingException
description = """
Please create new clearml credentials through the profile page in your `clearml-server` web app,
or create a free account at https://app.community.clear.ml/profile
Please create new clearml credentials through the settings page in your `clearml-server` web app,
or create a free account at https://app.clear.ml/settings/webapp-configuration
In the profile page, press "Create new credentials", then press "Copy to clipboard".
In the settings > workspace page, press "Create new credentials", then press "Copy to clipboard".
Paste copied configuration here:
"""
@@ -27,9 +28,9 @@ except Exception:
host_description = """
Editing configuration file: {CONFIG_FILE}
Enter the url of the clearml-server's Web service, for example: {HOST}
Enter the url of the clearml-server's Web service, for example: {HOST} or https://app.clear.ml
""".format(
CONFIG_FILE=LOCAL_CONFIG_FILES[0],
CONFIG_FILE=LOCAL_CONFIG_FILES[-1],
HOST=def_host,
)
@@ -84,7 +85,7 @@ def main():
host = input_url('API Host', api_server)
else:
print(host_description)
host = input_url('WEB Host', '')
host = input_url('WEB Host', 'https://app.clear.ml')
parsed_host = verify_url(host)
api_host, files_host, web_host = parse_host(parsed_host, allow_input=True)
@@ -112,13 +113,34 @@ def main():
print('Exiting setup without creating configuration file')
return
selection = input_options(
'Default Output URI (used to automatically store models and artifacts)',
{'N': 'None', 'S': 'ClearML Server', 'C': 'Custom'},
default='None'
)
if selection == 'Custom':
print('Custom Default Output URI: ', end='')
default_output_uri = input().strip()
elif selection == "ClearML Server":
default_output_uri = files_host
else:
default_output_uri = None
print('\nDefault Output URI: {}'.format(default_output_uri if default_output_uri else 'not set'))
# get GIT User/Pass for cloning
print('Enter git username for repository cloning (leave blank for SSH key authentication): [] ', end='')
git_user = input()
if git_user.strip():
print('Enter password for user \'{}\': '.format(git_user), end='')
print(
"Git personal token is equivalent to a password, to learn how to generate a token:\n"
" GitHub: https://docs.github.com/en/authentication/keeping-your-account-and-data-secure/creating-a-personal-access-token\n" # noqa
" Bitbucket: https://support.atlassian.com/bitbucket-cloud/docs/app-passwords/\n"
" GitLab: https://docs.gitlab.com/ee/user/profile/personal_access_tokens.html\n"
)
print('Enter git personal token for user \'{}\': '.format(git_user), end='')
git_pass = input()
print('Git repository cloning will be using user={} password={}'.format(git_user, git_pass))
print('Git repository cloning will be using user={} token={}'.format(git_user, git_pass))
else:
git_user = None
git_pass = None
@@ -157,7 +179,7 @@ def main():
' api_server: %s\n' \
' web_server: %s\n' \
' files_server: %s\n' \
' # Credentials are generated using the webapp, %s/profile\n' \
' # Credentials are generated using the webapp, %s/settings\n' \
' # Override with os environment: CLEARML_API_ACCESS_KEY / CLEARML_API_SECRET_KEY\n' \
' credentials {"access_key": "%s", "secret_key": "%s"}\n' \
'}\n\n' % (api_host, web_host, files_host,
@@ -173,6 +195,13 @@ def main():
'agent.package_manager.extra_index_url= ' \
'[\n{}\n]\n\n'.format("\n".join(map("\"{}\"".format, extra_index_urls)))
f.write(extra_index_str)
if default_output_uri:
default_output_url_str = '# Default Task output_uri. if output_uri is not provided to Task.init, ' \
'default_output_uri will be used instead.\n' \
'sdk.development.default_output_uri="{}"\n' \
'\n'.format(default_output_uri.strip('"'))
f.write(default_output_url_str)
default_conf = default_conf.replace('default_output_uri: ""', '# default_output_uri: ""')
f.write(default_conf)
except Exception:
print('Error! Could not write configuration file at: {}'.format(str(conf_file)))
@@ -299,6 +328,25 @@ def input_url(host_type, host=None):
return host
def input_options(message, options, default=None):
# type: (str, Dict[str, str], Optional[str]) -> str
options_msg = "/".join(
"".join(('(' + c.upper() + ')') if c == o else c for c in option)
for o, option in options.items()
)
if default:
options_msg += " [{}]".format(default)
while True:
print('{}: {} '.format(message, options_msg), end='')
res = input().strip()
if not res:
return default
elif res.lower() in options:
return options[res.lower()]
elif res.upper() in options:
return options[res.upper()]
def input_host_port(host_type, parsed_host):
print('Enter port for {} host '.format(host_type), end='')
replace_port = input().lower()

View File

@@ -3,8 +3,6 @@ from __future__ import print_function
import json
import time
from future.builtins import super
from clearml_agent.commands.base import ServiceCommandSection
from clearml_agent.helper.base import return_list

View File

@@ -0,0 +1,168 @@
import json
import re
import shlex
from clearml_agent.backend_api.session import Request
from clearml_agent.helper.package.requirements import (
RequirementsManager, MarkerRequirement,
compare_version_rules, )
def resolve_default_container(session, task_id, container_config):
container_lookup = session.config.get('agent.default_docker.match_rules', None)
if not session.check_min_api_version("2.13") or not container_lookup:
return container_config
# check backend support before sending any more requests (because they will fail and crash the Task)
try:
session.verify_feature_set('advanced')
except ValueError:
return container_config
result = session.send_request(
service='tasks',
action='get_all',
version='2.14',
json={'id': [task_id],
'only_fields': ['script.requirements', 'script.binary',
'script.repository', 'script.branch',
'project', 'container'],
'search_hidden': True},
method=Request.def_method,
async_enable=False,
)
try:
task_info = result.json()['data']['tasks'][0] if result.ok else {}
except (ValueError, TypeError):
return container_config
from clearml_agent.external.requirements_parser.requirement import Requirement
# store tasks repository
repository = task_info.get('script', {}).get('repository') or ''
branch = task_info.get('script', {}).get('branch') or ''
binary = task_info.get('script', {}).get('binary') or ''
requested_container = task_info.get('container', {})
# get project full path
project_full_name = ''
if task_info.get('project', None):
result = session.send_request(
service='projects',
action='get_all',
version='2.13',
json={
'id': [task_info.get('project')],
'only_fields': ['name'],
},
method=Request.def_method,
async_enable=False,
)
try:
if result.ok:
project_full_name = result.json()['data']['projects'][0]['name'] or ''
except (ValueError, TypeError):
pass
task_packages_lookup = {}
for entry in container_lookup:
match = entry.get('match', None)
if not match:
continue
if match.get('project', None):
# noinspection PyBroadException
try:
if not re.search(match.get('project', None), project_full_name):
continue
except Exception:
print('Failed parsing regular expression \"{}\" in rule: {}'.format(
match.get('project', None), entry))
continue
if match.get('script.repository', None):
# noinspection PyBroadException
try:
if not re.search(match.get('script.repository', None), repository):
continue
except Exception:
print('Failed parsing regular expression \"{}\" in rule: {}'.format(
match.get('script.repository', None), entry))
continue
if match.get('script.branch', None):
# noinspection PyBroadException
try:
if not re.search(match.get('script.branch', None), branch):
continue
except Exception:
print('Failed parsing regular expression \"{}\" in rule: {}'.format(
match.get('script.branch', None), entry))
continue
if match.get('script.binary', None):
# noinspection PyBroadException
try:
if not re.search(match.get('script.binary', None), binary):
continue
except Exception:
print('Failed parsing regular expression \"{}\" in rule: {}'.format(
match.get('script.binary', None), entry))
continue
if match.get('container', None):
# noinspection PyBroadException
try:
if not re.search(match.get('container', None), requested_container.get('image', '')):
continue
except Exception:
print('Failed parsing regular expression \"{}\" in rule: {}'.format(
match.get('container', None), entry))
continue
matched = True
for req_section in ['script.requirements.pip', 'script.requirements.conda']:
if not match.get(req_section, None):
continue
match_pip_reqs = [MarkerRequirement(Requirement.parse('{} {}'.format(k, v)))
for k, v in match.get(req_section, None).items()]
if not task_packages_lookup.get(req_section):
req_section_parts = req_section.split('.')
task_packages_lookup[req_section] = \
RequirementsManager.parse_requirements_section_to_marker_requirements(
requirements=task_info.get(req_section_parts[0], {}).get(
req_section_parts[1], {}).get(req_section_parts[2], None)
)
matched_all_reqs = True
for mr in match_pip_reqs:
matched_req = False
for pr in task_packages_lookup[req_section]:
if mr.req.name != pr.req.name:
continue
if compare_version_rules(mr.specs, pr.specs):
matched_req = True
break
if not matched_req:
matched_all_reqs = False
break
# if ew have a match, check second section
if matched_all_reqs:
continue
# no match stop
matched = False
break
if matched:
if not container_config.get('container'):
container_config['container'] = entry.get('image', None)
if not container_config.get('arguments'):
container_config['arguments'] = entry.get('arguments', None)
container_config['arguments'] = shlex.split(str(container_config.get('arguments') or '').strip())
print('Matching default container with rule:\n{}'.format(json.dumps(entry)))
return container_config
return container_config

File diff suppressed because it is too large Load Diff

View File

@@ -1,6 +1,6 @@
from pyhocon import ConfigTree
import six
from clearml_agent.external.pyhocon import ConfigTree
from clearml_agent.helper.base import Singleton

View File

@@ -5,9 +5,9 @@ from enum import IntEnum
from os import getenv, environ
from typing import Text, Optional, Union, Tuple, Any
import six
from pathlib2 import Path
import six
from clearml_agent.helper.base import normalize_path
PROGRAM_NAME = "clearml-agent"
@@ -69,41 +69,65 @@ ENV_AWS_SECRET_KEY = EnvironmentConfig("AWS_SECRET_ACCESS_KEY")
ENV_AZURE_ACCOUNT_KEY = EnvironmentConfig("AZURE_STORAGE_KEY")
ENVIRONMENT_CONFIG = {
"api.api_server": EnvironmentConfig("CLEARML_API_HOST", "TRAINS_API_HOST", ),
"api.files_server": EnvironmentConfig("CLEARML_FILES_HOST", "TRAINS_FILES_HOST", ),
"api.web_server": EnvironmentConfig("CLEARML_WEB_HOST", "TRAINS_WEB_HOST", ),
"api.api_server": EnvironmentConfig(
"CLEARML_API_HOST",
"TRAINS_API_HOST",
),
"api.files_server": EnvironmentConfig(
"CLEARML_FILES_HOST",
"TRAINS_FILES_HOST",
),
"api.web_server": EnvironmentConfig(
"CLEARML_WEB_HOST",
"TRAINS_WEB_HOST",
),
"api.credentials.access_key": EnvironmentConfig(
"CLEARML_API_ACCESS_KEY", "TRAINS_API_ACCESS_KEY",
"CLEARML_API_ACCESS_KEY",
"TRAINS_API_ACCESS_KEY",
),
"api.credentials.secret_key": ENV_AGENT_SECRET_KEY,
"agent.worker_name": EnvironmentConfig("CLEARML_WORKER_NAME", "TRAINS_WORKER_NAME", ),
"agent.worker_id": EnvironmentConfig("CLEARML_WORKER_ID", "TRAINS_WORKER_ID", ),
"agent.cuda_version": EnvironmentConfig(
"CLEARML_CUDA_VERSION", "TRAINS_CUDA_VERSION", "CUDA_VERSION"
"agent.worker_name": EnvironmentConfig(
"CLEARML_WORKER_NAME",
"TRAINS_WORKER_NAME",
),
"agent.cudnn_version": EnvironmentConfig(
"CLEARML_CUDNN_VERSION", "TRAINS_CUDNN_VERSION", "CUDNN_VERSION"
),
"agent.cpu_only": EnvironmentConfig(
names=("CLEARML_CPU_ONLY", "TRAINS_CPU_ONLY", "CPU_ONLY"), type=bool
"agent.worker_id": EnvironmentConfig(
"CLEARML_WORKER_ID",
"TRAINS_WORKER_ID",
),
"agent.cuda_version": EnvironmentConfig("CLEARML_CUDA_VERSION", "TRAINS_CUDA_VERSION", "CUDA_VERSION"),
"agent.cudnn_version": EnvironmentConfig("CLEARML_CUDNN_VERSION", "TRAINS_CUDNN_VERSION", "CUDNN_VERSION"),
"agent.cpu_only": EnvironmentConfig(names=("CLEARML_CPU_ONLY", "TRAINS_CPU_ONLY", "CPU_ONLY"), type=bool),
"agent.crash_on_exception": EnvironmentConfig("CLEAMRL_AGENT_CRASH_ON_EXCEPTION", type=bool),
"sdk.aws.s3.key": EnvironmentConfig("AWS_ACCESS_KEY_ID"),
"sdk.aws.s3.secret": ENV_AWS_SECRET_KEY,
"sdk.aws.s3.region": EnvironmentConfig("AWS_DEFAULT_REGION"),
"sdk.azure.storage.containers.0": {'account_name': EnvironmentConfig("AZURE_STORAGE_ACCOUNT"),
'account_key': ENV_AZURE_ACCOUNT_KEY},
"sdk.azure.storage.containers.0": {
"account_name": EnvironmentConfig("AZURE_STORAGE_ACCOUNT"),
"account_key": ENV_AZURE_ACCOUNT_KEY,
},
"sdk.google.storage.credentials_json": EnvironmentConfig("GOOGLE_APPLICATION_CREDENTIALS"),
}
ENVIRONMENT_SDK_PARAMS = {
"task_id": ("CLEARML_TASK_ID", "TRAINS_TASK_ID", ),
"config_file": ("CLEARML_CONFIG_FILE", "TRAINS_CONFIG_FILE", ),
"log_level": ("CLEARML_LOG_LEVEL", "TRAINS_LOG_LEVEL", ),
"log_to_backend": ("CLEARML_LOG_TASK_TO_BACKEND", "TRAINS_LOG_TASK_TO_BACKEND", ),
"task_id": (
"CLEARML_TASK_ID",
"TRAINS_TASK_ID",
),
"config_file": (
"CLEARML_CONFIG_FILE",
"TRAINS_CONFIG_FILE",
),
"log_level": (
"CLEARML_LOG_LEVEL",
"TRAINS_LOG_LEVEL",
),
"log_to_backend": (
"CLEARML_LOG_TASK_TO_BACKEND",
"TRAINS_LOG_TASK_TO_BACKEND",
),
}
ENVIRONMENT_BACKWARD_COMPATIBLE = EnvironmentConfig(
names=("CLEARML_AGENT_ALG_ENV", "TRAINS_AGENT_ALG_ENV"), type=bool)
ENVIRONMENT_BACKWARD_COMPATIBLE = EnvironmentConfig(names=("CLEARML_AGENT_ALG_ENV", "TRAINS_AGENT_ALG_ENV"), type=bool)
VIRTUAL_ENVIRONMENT_PATH = {
"python2": normalize_path(CONFIG_DIR, "py2venv"),
@@ -122,30 +146,93 @@ TOKEN_EXPIRATION_SECONDS = int(timedelta(days=2).total_seconds())
METADATA_EXTENSION = ".json"
DEFAULT_VENV_UPDATE_URL = (
"https://raw.githubusercontent.com/Yelp/venv-update/v3.2.4/venv_update.py"
)
DEFAULT_VENV_UPDATE_URL = "https://raw.githubusercontent.com/Yelp/venv-update/v3.2.4/venv_update.py"
WORKING_REPOSITORY_DIR = "task_repository"
WORKING_STANDALONE_DIR = "code"
DEFAULT_VCS_CACHE = normalize_path(CONFIG_DIR, "vcs-cache")
PIP_EXTRA_INDICES = [
]
PIP_EXTRA_INDICES = []
DEFAULT_PIP_DOWNLOAD_CACHE = normalize_path(CONFIG_DIR, "pip-download-cache")
ENV_DOCKER_IMAGE = EnvironmentConfig('CLEARML_DOCKER_IMAGE', 'TRAINS_DOCKER_IMAGE')
ENV_WORKER_ID = EnvironmentConfig('CLEARML_WORKER_ID', 'TRAINS_WORKER_ID')
ENV_WORKER_TAGS = EnvironmentConfig('CLEARML_WORKER_TAGS')
ENV_AGENT_SKIP_PIP_VENV_INSTALL = EnvironmentConfig('CLEARML_AGENT_SKIP_PIP_VENV_INSTALL')
ENV_DOCKER_SKIP_GPUS_FLAG = EnvironmentConfig('CLEARML_DOCKER_SKIP_GPUS_FLAG', 'TRAINS_DOCKER_SKIP_GPUS_FLAG')
ENV_AGENT_GIT_USER = EnvironmentConfig('CLEARML_AGENT_GIT_USER', 'TRAINS_AGENT_GIT_USER')
ENV_AGENT_GIT_PASS = EnvironmentConfig('CLEARML_AGENT_GIT_PASS', 'TRAINS_AGENT_GIT_PASS')
ENV_AGENT_GIT_HOST = EnvironmentConfig('CLEARML_AGENT_GIT_HOST', 'TRAINS_AGENT_GIT_HOST')
ENV_AGENT_DISABLE_SSH_MOUNT = EnvironmentConfig('CLEARML_AGENT_DISABLE_SSH_MOUNT', type=bool)
ENV_SSH_AUTH_SOCK = EnvironmentConfig('SSH_AUTH_SOCK')
ENV_TASK_EXECUTE_AS_USER = EnvironmentConfig('CLEARML_AGENT_EXEC_USER', 'TRAINS_AGENT_EXEC_USER')
ENV_TASK_EXTRA_PYTHON_PATH = EnvironmentConfig('CLEARML_AGENT_EXTRA_PYTHON_PATH', 'TRAINS_AGENT_EXTRA_PYTHON_PATH')
ENV_DOCKER_HOST_MOUNT = EnvironmentConfig('CLEARML_AGENT_K8S_HOST_MOUNT', 'CLEARML_AGENT_DOCKER_HOST_MOUNT',
'TRAINS_AGENT_K8S_HOST_MOUNT', 'TRAINS_AGENT_DOCKER_HOST_MOUNT')
ENV_VENV_CACHE_PATH = EnvironmentConfig('CLEARML_AGENT_VENV_CACHE_PATH')
ENV_EXTRA_DOCKER_ARGS = EnvironmentConfig('CLEARML_AGENT_EXTRA_DOCKER_ARGS', type=list)
ENV_DOCKER_IMAGE = EnvironmentConfig("CLEARML_DOCKER_IMAGE", "TRAINS_DOCKER_IMAGE")
ENV_WORKER_ID = EnvironmentConfig("CLEARML_WORKER_ID", "TRAINS_WORKER_ID")
ENV_WORKER_TAGS = EnvironmentConfig("CLEARML_WORKER_TAGS")
ENV_AGENT_SKIP_PIP_VENV_INSTALL = EnvironmentConfig("CLEARML_AGENT_SKIP_PIP_VENV_INSTALL")
ENV_AGENT_SKIP_PYTHON_ENV_INSTALL = EnvironmentConfig("CLEARML_AGENT_SKIP_PYTHON_ENV_INSTALL", type=bool)
ENV_DOCKER_SKIP_GPUS_FLAG = EnvironmentConfig("CLEARML_DOCKER_SKIP_GPUS_FLAG", "TRAINS_DOCKER_SKIP_GPUS_FLAG")
ENV_AGENT_GIT_USER = EnvironmentConfig("CLEARML_AGENT_GIT_USER", "TRAINS_AGENT_GIT_USER")
ENV_AGENT_GIT_PASS = EnvironmentConfig("CLEARML_AGENT_GIT_PASS", "TRAINS_AGENT_GIT_PASS")
ENV_AGENT_GIT_HOST = EnvironmentConfig("CLEARML_AGENT_GIT_HOST", "TRAINS_AGENT_GIT_HOST")
ENV_AGENT_DISABLE_SSH_MOUNT = EnvironmentConfig("CLEARML_AGENT_DISABLE_SSH_MOUNT", type=bool)
ENV_SSH_AUTH_SOCK = EnvironmentConfig("SSH_AUTH_SOCK")
ENV_TASK_EXECUTE_AS_USER = EnvironmentConfig("CLEARML_AGENT_EXEC_USER", "TRAINS_AGENT_EXEC_USER")
ENV_TASK_EXTRA_PYTHON_PATH = EnvironmentConfig("CLEARML_AGENT_EXTRA_PYTHON_PATH", "TRAINS_AGENT_EXTRA_PYTHON_PATH")
ENV_DOCKER_HOST_MOUNT = EnvironmentConfig(
"CLEARML_AGENT_K8S_HOST_MOUNT",
"CLEARML_AGENT_DOCKER_HOST_MOUNT",
"TRAINS_AGENT_K8S_HOST_MOUNT",
"TRAINS_AGENT_DOCKER_HOST_MOUNT",
)
ENV_VENV_CACHE_PATH = EnvironmentConfig("CLEARML_AGENT_VENV_CACHE_PATH")
ENV_EXTRA_DOCKER_ARGS = EnvironmentConfig("CLEARML_AGENT_EXTRA_DOCKER_ARGS", type=list)
ENV_DEBUG_INFO = EnvironmentConfig("CLEARML_AGENT_DEBUG_INFO")
ENV_CHILD_AGENTS_COUNT_CMD = EnvironmentConfig("CLEARML_AGENT_CHILD_AGENTS_COUNT_CMD")
ENV_DOCKER_ARGS_FILTERS = EnvironmentConfig("CLEARML_AGENT_DOCKER_ARGS_FILTERS")
ENV_DOCKER_ARGS_HIDE_ENV = EnvironmentConfig("CLEARML_AGENT_DOCKER_ARGS_HIDE_ENV")
ENV_CONFIG_BC_IN_STANDALONE = EnvironmentConfig("CLEARML_AGENT_STANDALONE_CONFIG_BC", type=bool)
""" Maintain backwards compatible configuration when launching in standalone mode """
ENV_SERVICES_DOCKER_RESTART = EnvironmentConfig("CLEARML_AGENT_SERVICES_DOCKER_RESTART")
"""
Specify a restart value for a services agent task containers.
Note that when a restart value is provided, task containers will not be run with the '--rm' flag and will
not be cleaned up automatically when completed (this will need to be done externally using the
'docker container prune' command to free up resources).
Value format for this env var is "<restart-value>;<task-selector>", where:
- <restart-value> can be any valid restart value for docker-run (see https://docs.docker.com/engine/reference/commandline/run/#restart)
- <task-selector> is optional, allowing to restrict this behaviour to specific tasks. The format is:
"<path-to-task-field>=<value>" where:
* <path-to-task-field> is a dot-separated path to a task field (e.g. "container.image")
* <value> is optional. If not provided, the restart policy till be applied for the task container if the
path provided exists. If provided, the restart policy will be applied if the value matches the value
obtained from the task (value parsing and comparison is based on the type of value obtained from the task)
For example:
CLEARML_AGENT_SERVICES_DOCKER_RESTART=unless-stopped
CLEARML_AGENT_SERVICES_DOCKER_RESTART=unless-stopped;container.image=some-image
"""
ENV_FORCE_SYSTEM_SITE_PACKAGES = EnvironmentConfig("CLEARML_AGENT_FORCE_SYSTEM_SITE_PACKAGES", type=bool)
""" Force system_site_packages: true when running tasks in containers (i.e. docker mode or k8s glue) """
ENV_CUSTOM_BUILD_SCRIPT = EnvironmentConfig("CLEARML_AGENT_CUSTOM_BUILD_SCRIPT")
"""
Specifies a custom environment setup script to be executed instead of installing a virtual environment.
If provided, this script is executed following Git cloning. Script command may include environment variable and
will be expanded before execution (e.g. "$CLEARML_GIT_ROOT/script.sh").
The script can also be specified using the `agent.custom_build_script` configuration setting.
When running the script, the following environment variables will be set:
- CLEARML_CUSTOM_BUILD_TASK_CONFIG_JSON: specifies a path to a temporary files containing the complete task
contents in JSON format
- CLEARML_TASK_SCRIPT_ENTRY: task entrypoint script as defined in the task's script section
- CLEARML_TASK_WORKING_DIR: task working directory as defined in the task's script section
- CLEARML_VENV_PATH: path to the agent's default virtual environment path (as defined in the configuration)
- CLEARML_GIT_ROOT: path to the cloned Git repository
- CLEARML_CUSTOM_BUILD_OUTPUT: a path to a non-existing file that may be created by the script. If created,
this file must be in the following JSON format:
```json
{
"binary": "/absolute/path/to/python-executable",
"entry_point": "/absolute/path/to/task-entrypoint-script",
"working_dir": "/absolute/path/to/task-working/dir"
}
```
If provided, the agent will use these instead of the predefined task script section to execute the task and will
skip virtual environment creation.
In case the custom script returns with a non-zero exit code, the agent will fail with the same exit code.
In case the custom script is specified but does not exist, or if the custom script does not write valid content
into the file specified in CLEARML_CUSTOM_BUILD_OUTPUT, the agent will emit a warning and continue with the
standard flow.
"""
class FileBuffering(IntEnum):

View File

@@ -84,3 +84,13 @@ class MissingPackageError(CommandFailedError):
def __str__(self):
return '{self.__class__.__name__}: ' \
'"{self.name}" package is required. Please run "pip install {self.name}"'.format(self=self)
class CustomBuildScriptFailed(CommandFailedError):
def __init__(self, errno, *args, **kwargs):
super(CustomBuildScriptFailed, self).__init__(*args, **kwargs)
self.errno = errno
class SkippedCustomBuildScript(CommandFailedError):
pass

View File

@@ -0,0 +1,5 @@
from .config_parser import ConfigParser, ConfigFactory, ConfigMissingException
from .config_tree import ConfigTree
from .converter import HOCONConverter
__all__ = ["ConfigParser", "ConfigFactory", "ConfigMissingException", "ConfigTree", "HOCONConverter"]

View File

@@ -0,0 +1,762 @@
import itertools
import re
import os
import socket
import contextlib
import codecs
from datetime import timedelta
from pyparsing import Forward, Keyword, QuotedString, Word, Literal, Suppress, Regex, Optional, SkipTo, ZeroOrMore, \
Group, lineno, col, TokenConverter, replaceWith, alphanums, alphas8bit, ParseSyntaxException, StringEnd
from pyparsing import ParserElement
from .config_tree import ConfigTree, ConfigSubstitution, ConfigList, ConfigValues, ConfigUnquotedString, \
ConfigInclude, NoneValue, ConfigQuotedString
from .exceptions import ConfigSubstitutionException, ConfigMissingException, ConfigException
import logging
import copy
use_urllib2 = False
try:
# For Python 3.0 and later
from urllib.request import urlopen
from urllib.error import HTTPError, URLError
except ImportError: # pragma: no cover
# Fall back to Python 2's urllib2
from urllib2 import urlopen, HTTPError, URLError
use_urllib2 = True
try:
basestring
except NameError: # pragma: no cover
basestring = str
unicode = str
logger = logging.getLogger(__name__)
#
# Substitution Defaults
#
class DEFAULT_SUBSTITUTION(object):
pass
class MANDATORY_SUBSTITUTION(object):
pass
class NO_SUBSTITUTION(object):
pass
class STR_SUBSTITUTION(object):
pass
def period(period_value, period_unit):
try:
from dateutil.relativedelta import relativedelta as period_impl
except Exception:
from datetime import timedelta as period_impl
if period_unit == 'nanoseconds':
period_unit = 'microseconds'
period_value = int(period_value / 1000)
arguments = dict(zip((period_unit,), (period_value,)))
if period_unit == 'milliseconds':
return timedelta(**arguments)
return period_impl(**arguments)
class ConfigFactory(object):
@classmethod
def parse_file(cls, filename, encoding='utf-8', required=True, resolve=True, unresolved_value=DEFAULT_SUBSTITUTION):
"""Parse file
:param filename: filename
:type filename: basestring
:param encoding: file encoding
:type encoding: basestring
:param required: If true, raises an exception if can't load file
:type required: boolean
:param resolve: if true, resolve substitutions
:type resolve: boolean
:param unresolved_value: assigned value value to unresolved substitution.
If overriden with a default value, it will replace all unresolved value to the default value.
If it is set to to pyhocon.STR_SUBSTITUTION then it will replace the value by its
substitution expression (e.g., ${x})
:type unresolved_value: class
:return: Config object
:type return: Config
"""
try:
with codecs.open(filename, 'r', encoding=encoding) as fd:
content = fd.read()
return cls.parse_string(content, os.path.dirname(filename), resolve, unresolved_value)
except IOError as e:
if required:
raise e
logger.warn('Cannot include file %s. File does not exist or cannot be read.', filename)
return []
@classmethod
def parse_URL(cls, url, timeout=None, resolve=True, required=False, unresolved_value=DEFAULT_SUBSTITUTION):
"""Parse URL
:param url: url to parse
:type url: basestring
:param resolve: if true, resolve substitutions
:type resolve: boolean
:param unresolved_value: assigned value value to unresolved substitution.
If overriden with a default value, it will replace all unresolved value to the default value.
If it is set to to pyhocon.STR_SUBSTITUTION then it will replace the value by
its substitution expression (e.g., ${x})
:type unresolved_value: boolean
:return: Config object or []
:type return: Config or list
"""
socket_timeout = socket._GLOBAL_DEFAULT_TIMEOUT if timeout is None else timeout
try:
with contextlib.closing(urlopen(url, timeout=socket_timeout)) as fd:
content = fd.read() if use_urllib2 else fd.read().decode('utf-8')
return cls.parse_string(content, os.path.dirname(url), resolve, unresolved_value)
except (HTTPError, URLError) as e:
logger.warn('Cannot include url %s. Resource is inaccessible.', url)
if required:
raise e
else:
return []
@classmethod
def parse_string(cls, content, basedir=None, resolve=True, unresolved_value=DEFAULT_SUBSTITUTION):
"""Parse URL
:param content: content to parse
:type content: basestring
:param resolve: If true, resolve substitutions
:param resolve: if true, resolve substitutions
:type resolve: boolean
:param unresolved_value: assigned value value to unresolved substitution.
If overriden with a default value, it will replace all unresolved value to the default value.
If it is set to to pyhocon.STR_SUBSTITUTION then it will replace the value by
its substitution expression (e.g., ${x})
:type unresolved_value: boolean
:return: Config object
:type return: Config
"""
return ConfigParser().parse(content, basedir, resolve, unresolved_value)
@classmethod
def from_dict(cls, dictionary, root=False):
"""Convert dictionary (and ordered dictionary) into a ConfigTree
:param dictionary: dictionary to convert
:type dictionary: dict
:return: Config object
:type return: Config
"""
def create_tree(value):
if isinstance(value, dict):
res = ConfigTree(root=root)
for key, child_value in value.items():
res.put(key, create_tree(child_value))
return res
if isinstance(value, list):
return [create_tree(v) for v in value]
else:
return value
return create_tree(dictionary)
class ConfigParser(object):
"""
Parse HOCON files: https://github.com/typesafehub/config/blob/master/HOCON.md
"""
REPLACEMENTS = {
'\\\\': '\\',
'\\\n': '\n',
'\\n': '\n',
'\\r': '\r',
'\\t': '\t',
'\\=': '=',
'\\#': '#',
'\\!': '!',
'\\"': '"',
}
period_type_map = {
'nanoseconds': ['ns', 'nano', 'nanos', 'nanosecond', 'nanoseconds'],
'microseconds': ['us', 'micro', 'micros', 'microsecond', 'microseconds'],
'milliseconds': ['ms', 'milli', 'millis', 'millisecond', 'milliseconds'],
'seconds': ['s', 'second', 'seconds'],
'minutes': ['m', 'minute', 'minutes'],
'hours': ['h', 'hour', 'hours'],
'weeks': ['w', 'week', 'weeks'],
'days': ['d', 'day', 'days'],
}
optional_period_type_map = {
'months': ['mo', 'month', 'months'], # 'm' from hocon spec removed. conflicts with minutes syntax.
'years': ['y', 'year', 'years']
}
supported_period_map = None
@classmethod
def get_supported_period_type_map(cls):
if cls.supported_period_map is None:
cls.supported_period_map = {}
cls.supported_period_map.update(cls.period_type_map)
try:
from dateutil import relativedelta
if relativedelta is not None:
cls.supported_period_map.update(cls.optional_period_type_map)
except Exception:
pass
return cls.supported_period_map
@classmethod
def parse(cls, content, basedir=None, resolve=True, unresolved_value=DEFAULT_SUBSTITUTION):
"""parse a HOCON content
:param content: HOCON content to parse
:type content: basestring
:param resolve: if true, resolve substitutions
:type resolve: boolean
:param unresolved_value: assigned value value to unresolved substitution.
If overriden with a default value, it will replace all unresolved value to the default value.
If it is set to to pyhocon.STR_SUBSTITUTION then it will replace the value by
its substitution expression (e.g., ${x})
:type unresolved_value: boolean
:return: a ConfigTree or a list
"""
unescape_pattern = re.compile(r'\\.')
def replace_escape_sequence(match):
value = match.group(0)
return cls.REPLACEMENTS.get(value, value)
def norm_string(value):
return unescape_pattern.sub(replace_escape_sequence, value)
def unescape_string(tokens):
return ConfigUnquotedString(norm_string(tokens[0]))
def parse_multi_string(tokens):
# remove the first and last 3 "
return tokens[0][3: -3]
def convert_number(tokens):
n = tokens[0]
try:
return int(n, 10)
except ValueError:
return float(n)
def safe_convert_number(tokens):
n = tokens[0]
try:
return int(n, 10)
except ValueError:
try:
return float(n)
except ValueError:
return n
def convert_period(tokens):
period_value = int(tokens.value)
period_identifier = tokens.unit
period_unit = next((single_unit for single_unit, values
in cls.get_supported_period_type_map().items()
if period_identifier in values))
return period(period_value, period_unit)
# ${path} or ${?path} for optional substitution
SUBSTITUTION_PATTERN = r"\$\{(?P<optional>\?)?(?P<variable>[^}]+)\}(?P<ws>[ \t]*)"
def create_substitution(instring, loc, token):
# remove the ${ and }
match = re.match(SUBSTITUTION_PATTERN, token[0])
variable = match.group('variable')
ws = match.group('ws')
optional = match.group('optional') == '?'
substitution = ConfigSubstitution(variable, optional, ws, instring, loc)
return substitution
# ${path} or ${?path} for optional substitution
STRING_PATTERN = '"(?P<value>(?:[^"\\\\]|\\\\.)*)"(?P<ws>[ \t]*)'
def create_quoted_string(instring, loc, token):
# remove the ${ and }
match = re.match(STRING_PATTERN, token[0])
value = norm_string(match.group('value'))
ws = match.group('ws')
return ConfigQuotedString(value, ws, instring, loc)
def include_config(instring, loc, token):
url = None
file = None
required = False
if token[0] == 'required':
required = True
final_tokens = token[1:]
else:
final_tokens = token
if len(final_tokens) == 1: # include "test"
value = final_tokens[0].value if isinstance(final_tokens[0], ConfigQuotedString) else final_tokens[0]
if value.startswith("http://") or value.startswith("https://") or value.startswith("file://"):
url = value
else:
file = value
elif len(final_tokens) == 2: # include url("test") or file("test")
value = final_tokens[1].value if isinstance(token[1], ConfigQuotedString) else final_tokens[1]
if final_tokens[0] == 'url':
url = value
else:
file = value
if url is not None:
logger.debug('Loading config from url %s', url)
obj = ConfigFactory.parse_URL(
url,
resolve=False,
required=required,
unresolved_value=NO_SUBSTITUTION
)
elif file is not None:
path = file if basedir is None else os.path.join(basedir, file)
logger.debug('Loading config from file %s', path)
obj = ConfigFactory.parse_file(
path,
resolve=False,
required=required,
unresolved_value=NO_SUBSTITUTION
)
else:
raise ConfigException('No file or URL specified at: {loc}: {instring}', loc=loc, instring=instring)
return ConfigInclude(obj if isinstance(obj, list) else obj.items())
@contextlib.contextmanager
def set_default_white_spaces():
default = ParserElement.DEFAULT_WHITE_CHARS
ParserElement.setDefaultWhitespaceChars(' \t')
yield
ParserElement.setDefaultWhitespaceChars(default)
with set_default_white_spaces():
assign_expr = Forward()
true_expr = Keyword("true", caseless=True).setParseAction(replaceWith(True))
false_expr = Keyword("false", caseless=True).setParseAction(replaceWith(False))
null_expr = Keyword("null", caseless=True).setParseAction(replaceWith(NoneValue()))
# key = QuotedString('"', escChar='\\', unquoteResults=False) | Word(alphanums + alphas8bit + '._- /')
regexp_numbers = r'[+-]?(\d*\.\d+|\d+(\.\d+)?)([eE][+\-]?\d+)?(?=$|[ \t]*([\$\}\],#\n\r]|//))'
key = QuotedString('"', escChar='\\', unquoteResults=False) | \
Regex(regexp_numbers, re.DOTALL).setParseAction(safe_convert_number) | \
Word(alphanums + alphas8bit + '._- /')
eol = Word('\n\r').suppress()
eol_comma = Word('\n\r,').suppress()
comment = (Literal('#') | Literal('//')) - SkipTo(eol | StringEnd())
comment_eol = Suppress(Optional(eol_comma) + comment)
comment_no_comma_eol = (comment | eol).suppress()
number_expr = Regex(regexp_numbers, re.DOTALL).setParseAction(convert_number)
period_types = itertools.chain.from_iterable(cls.get_supported_period_type_map().values())
period_expr = Regex(r'(?P<value>\d+)\s*(?P<unit>' + '|'.join(period_types) + ')$'
).setParseAction(convert_period)
# multi line string using """
# Using fix described in http://pyparsing.wikispaces.com/share/view/3778969
multiline_string = Regex('""".*?"*"""', re.DOTALL | re.UNICODE).setParseAction(parse_multi_string)
# single quoted line string
quoted_string = Regex(r'"(?:[^"\\\n]|\\.)*"[ \t]*', re.UNICODE).setParseAction(create_quoted_string)
# unquoted string that takes the rest of the line until an optional comment
# we support .properties multiline support which is like this:
# line1 \
# line2 \
# so a backslash precedes the \n
unquoted_string = Regex(r'(?:[^^`+?!@*&"\[\{\s\]\}#,=\$\\]|\\.)+[ \t]*',
re.UNICODE).setParseAction(unescape_string)
substitution_expr = Regex(r'[ \t]*\$\{[^\}]+\}[ \t]*').setParseAction(create_substitution)
string_expr = multiline_string | quoted_string | unquoted_string
value_expr = period_expr | number_expr | true_expr | false_expr | null_expr | string_expr
include_content = (quoted_string | ((Keyword('url') | Keyword(
'file')) - Literal('(').suppress() - quoted_string - Literal(')').suppress()))
include_expr = (
Keyword("include", caseless=True).suppress() + (
include_content | (
Keyword("required") - Literal('(').suppress() - include_content - Literal(')').suppress()
)
)
).setParseAction(include_config)
root_dict_expr = Forward()
dict_expr = Forward()
list_expr = Forward()
multi_value_expr = ZeroOrMore(comment_eol | include_expr | substitution_expr |
dict_expr | list_expr | value_expr | (Literal('\\') - eol).suppress())
# for a dictionary : or = is optional
# last zeroOrMore is because we can have t = {a:4} {b: 6} {c: 7} which is dictionary concatenation
inside_dict_expr = ConfigTreeParser(ZeroOrMore(comment_eol | include_expr | assign_expr | eol_comma))
inside_root_dict_expr = ConfigTreeParser(ZeroOrMore(
comment_eol | include_expr | assign_expr | eol_comma), root=True)
dict_expr << Suppress('{') - inside_dict_expr - Suppress('}')
root_dict_expr << Suppress('{') - inside_root_dict_expr - Suppress('}')
list_entry = ConcatenatedValueParser(multi_value_expr)
list_expr << Suppress('[') - ListParser(list_entry - ZeroOrMore(eol_comma - list_entry)) - Suppress(']')
# special case when we have a value assignment where the string can potentially be the remainder of the line
assign_expr << Group(key - ZeroOrMore(comment_no_comma_eol) -
(dict_expr | (Literal('=') | Literal(':') | Literal('+=')) -
ZeroOrMore(comment_no_comma_eol) - ConcatenatedValueParser(multi_value_expr)))
# the file can be { ... } where {} can be omitted or []
config_expr = ZeroOrMore(comment_eol | eol) + (list_expr | root_dict_expr |
inside_root_dict_expr) + ZeroOrMore(comment_eol | eol_comma)
config = config_expr.parseString(content, parseAll=True)[0]
if resolve:
allow_unresolved = resolve and unresolved_value is not DEFAULT_SUBSTITUTION and \
unresolved_value is not MANDATORY_SUBSTITUTION
has_unresolved = cls.resolve_substitutions(config, allow_unresolved)
if has_unresolved and unresolved_value is MANDATORY_SUBSTITUTION:
raise ConfigSubstitutionException(
'resolve cannot be set to True and unresolved_value to MANDATORY_SUBSTITUTION')
if unresolved_value is not NO_SUBSTITUTION and unresolved_value is not DEFAULT_SUBSTITUTION:
cls.unresolve_substitutions_to_value(config, unresolved_value)
return config
@classmethod
def _resolve_variable(cls, config, substitution):
"""
:param config:
:param substitution:
:return: (is_resolved, resolved_variable)
"""
variable = substitution.variable
try:
return True, config.get(variable)
except ConfigMissingException:
# default to environment variable
value = os.environ.get(variable)
if value is None:
if substitution.optional:
return False, None
else:
raise ConfigSubstitutionException(
"Cannot resolve variable ${{{variable}}} (line: {line}, col: {col})".format(
variable=variable,
line=lineno(substitution.loc, substitution.instring),
col=col(substitution.loc, substitution.instring)))
elif isinstance(value, ConfigList) or isinstance(value, ConfigTree):
raise ConfigSubstitutionException(
"Cannot substitute variable ${{{variable}}} because it does not point to a "
"string, int, float, boolean or null {type} (line:{line}, col: {col})".format(
variable=variable,
type=value.__class__.__name__,
line=lineno(substitution.loc, substitution.instring),
col=col(substitution.loc, substitution.instring)))
return True, value
@classmethod
def _fixup_self_references(cls, config, accept_unresolved=False):
if isinstance(config, ConfigTree) and config.root:
for key in config: # Traverse history of element
history = config.history[key]
previous_item = history[0]
for current_item in history[1:]:
for substitution in cls._find_substitutions(current_item):
prop_path = ConfigTree.parse_key(substitution.variable)
if len(prop_path) > 1 and config.get(substitution.variable, None) is not None:
continue # If value is present in latest version, don't do anything
if prop_path[0] == key:
if isinstance(previous_item, ConfigValues) and not accept_unresolved:
# We hit a dead end, we cannot evaluate
raise ConfigSubstitutionException(
"Property {variable} cannot be substituted. Check for cycles.".format(
variable=substitution.variable
)
)
else:
value = previous_item if len(
prop_path) == 1 else previous_item.get(".".join(prop_path[1:]))
_, _, current_item = cls._do_substitute(substitution, value)
previous_item = current_item
if len(history) == 1:
for substitution in cls._find_substitutions(previous_item):
prop_path = ConfigTree.parse_key(substitution.variable)
if len(prop_path) > 1 and config.get(substitution.variable, None) is not None:
continue # If value is present in latest version, don't do anything
if prop_path[0] == key and substitution.optional:
cls._do_substitute(substitution, None)
if prop_path[0] == key:
value = os.environ.get(key)
if value is not None:
cls._do_substitute(substitution, value)
continue
if substitution.optional: # special case, when self optional referencing without existing
cls._do_substitute(substitution, None)
# traverse config to find all the substitutions
@classmethod
def _find_substitutions(cls, item):
"""Convert HOCON input into a JSON output
:return: JSON string representation
:type return: basestring
"""
if isinstance(item, ConfigValues):
return item.get_substitutions()
substitutions = []
elements = []
if isinstance(item, ConfigTree):
elements = item.values()
elif isinstance(item, list):
elements = item
for child in elements:
substitutions += cls._find_substitutions(child)
return substitutions
@classmethod
def _do_substitute(cls, substitution, resolved_value, is_optional_resolved=True):
unresolved = False
new_substitutions = []
if isinstance(resolved_value, ConfigValues):
resolved_value = resolved_value.transform()
if isinstance(resolved_value, ConfigValues):
unresolved = True
result = resolved_value
else:
# replace token by substitution
config_values = substitution.parent
# if it is a string, then add the extra ws that was present in the original string after the substitution
formatted_resolved_value = resolved_value \
if resolved_value is None \
or isinstance(resolved_value, (dict, list)) \
or substitution.index == len(config_values.tokens) - 1 \
else (str(resolved_value) + substitution.ws)
# use a deepcopy of resolved_value to avoid mutation
config_values.put(substitution.index, copy.deepcopy(formatted_resolved_value))
transformation = config_values.transform()
result = config_values.overriden_value \
if transformation is None and not is_optional_resolved \
else transformation
if result is None and config_values.key in config_values.parent:
del config_values.parent[config_values.key]
else:
config_values.parent[config_values.key] = result
s = cls._find_substitutions(result)
if s:
new_substitutions = s
unresolved = True
return (unresolved, new_substitutions, result)
@classmethod
def _final_fixup(cls, item):
if isinstance(item, ConfigValues):
return item.transform()
elif isinstance(item, list):
return list([cls._final_fixup(child) for child in item])
elif isinstance(item, ConfigTree):
items = list(item.items())
for key, child in items:
item[key] = cls._final_fixup(child)
return item
@classmethod
def unresolve_substitutions_to_value(cls, config, unresolved_value=STR_SUBSTITUTION):
for substitution in cls._find_substitutions(config):
if unresolved_value is STR_SUBSTITUTION:
value = substitution.raw_str()
elif unresolved_value is None:
value = NoneValue()
else:
value = unresolved_value
cls._do_substitute(substitution, value, False)
cls._final_fixup(config)
@classmethod
def resolve_substitutions(cls, config, accept_unresolved=False):
has_unresolved = False
cls._fixup_self_references(config, accept_unresolved)
substitutions = cls._find_substitutions(config)
if len(substitutions) > 0:
unresolved = True
any_unresolved = True
_substitutions = []
cache = {}
while any_unresolved and len(substitutions) > 0 and set(substitutions) != set(_substitutions):
unresolved = False
any_unresolved = True
_substitutions = substitutions[:]
for substitution in _substitutions:
is_optional_resolved, resolved_value = cls._resolve_variable(config, substitution)
# if the substitution is optional
if not is_optional_resolved and substitution.optional:
resolved_value = None
if isinstance(resolved_value, ConfigValues):
parents = cache.get(resolved_value)
if parents is None:
parents = []
link = resolved_value
while isinstance(link, ConfigValues):
parents.append(link)
link = link.overriden_value
cache[resolved_value] = parents
if isinstance(resolved_value, ConfigValues) \
and substitution.parent in parents \
and hasattr(substitution.parent, 'overriden_value') \
and substitution.parent.overriden_value:
# self resolution, backtrack
resolved_value = substitution.parent.overriden_value
unresolved, new_substitutions, result = cls._do_substitute(
substitution, resolved_value, is_optional_resolved)
any_unresolved = unresolved or any_unresolved
substitutions.extend(new_substitutions)
if not isinstance(result, ConfigValues):
substitutions.remove(substitution)
cls._final_fixup(config)
if unresolved:
has_unresolved = True
if not accept_unresolved:
raise ConfigSubstitutionException("Cannot resolve {variables}. Check for cycles.".format(
variables=', '.join('${{{variable}}}: (line: {line}, col: {col})'.format(
variable=substitution.variable,
line=lineno(substitution.loc, substitution.instring),
col=col(substitution.loc, substitution.instring)) for substitution in substitutions)))
cls._final_fixup(config)
return has_unresolved
class ListParser(TokenConverter):
"""Parse a list [elt1, etl2, ...]
"""
def __init__(self, expr=None):
super(ListParser, self).__init__(expr)
self.saveAsList = True
def postParse(self, instring, loc, token_list):
"""Create a list from the tokens
:param instring:
:param loc:
:param token_list:
:return:
"""
cleaned_token_list = [token for tokens in (token.tokens if isinstance(token, ConfigInclude) else [token]
for token in token_list if token != '')
for token in tokens]
config_list = ConfigList(cleaned_token_list)
return [config_list]
class ConcatenatedValueParser(TokenConverter):
def __init__(self, expr=None):
super(ConcatenatedValueParser, self).__init__(expr)
self.parent = None
self.key = None
def postParse(self, instring, loc, token_list):
config_values = ConfigValues(token_list, instring, loc)
return [config_values.transform()]
class ConfigTreeParser(TokenConverter):
"""
Parse a config tree from tokens
"""
def __init__(self, expr=None, root=False):
super(ConfigTreeParser, self).__init__(expr)
self.root = root
self.saveAsList = True
def postParse(self, instring, loc, token_list):
"""Create ConfigTree from tokens
:param instring:
:param loc:
:param token_list:
:return:
"""
config_tree = ConfigTree(root=self.root)
for element in token_list:
expanded_tokens = element.tokens if isinstance(element, ConfigInclude) else [element]
for tokens in expanded_tokens:
# key, value1 (optional), ...
key = tokens[0].strip() if isinstance(tokens[0], (unicode, basestring)) else tokens[0]
operator = '='
if len(tokens) == 3 and tokens[1].strip() in [':', '=', '+=']:
operator = tokens[1].strip()
values = tokens[2:]
elif len(tokens) == 2:
values = tokens[1:]
else:
raise ParseSyntaxException("Unknown tokens {tokens} received".format(tokens=tokens))
# empty string
if len(values) == 0:
config_tree.put(key, '')
else:
value = values[0]
if isinstance(value, list) and operator == "+=":
value = ConfigValues([ConfigSubstitution(key, True, '', False, loc), value], False, loc)
config_tree.put(key, value, False)
elif isinstance(value, unicode) and operator == "+=":
value = ConfigValues([ConfigSubstitution(key, True, '', True, loc), ' ' + value], True, loc)
config_tree.put(key, value, False)
elif isinstance(value, list):
config_tree.put(key, value, False)
else:
existing_value = config_tree.get(key, None)
if isinstance(value, ConfigTree) and not isinstance(existing_value, list):
# Only Tree has to be merged with tree
config_tree.put(key, value, True)
elif isinstance(value, ConfigValues):
conf_value = value
value.parent = config_tree
value.key = key
if isinstance(existing_value, list) or isinstance(existing_value, ConfigTree):
config_tree.put(key, conf_value, True)
else:
config_tree.put(key, conf_value, False)
else:
config_tree.put(key, value, False)
return config_tree

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@@ -0,0 +1,608 @@
from collections import OrderedDict
from pyparsing import lineno
from pyparsing import col
try:
basestring
except NameError: # pragma: no cover
basestring = str
unicode = str
import re
import copy
from .exceptions import ConfigException, ConfigWrongTypeException, ConfigMissingException
class UndefinedKey(object):
pass
class NonExistentKey(object):
pass
class NoneValue(object):
pass
class ConfigTree(OrderedDict):
KEY_SEP = '.'
def __init__(self, *args, **kwds):
self.root = kwds.pop('root') if 'root' in kwds else False
if self.root:
self.history = {}
super(ConfigTree, self).__init__(*args, **kwds)
for key, value in self.items():
if isinstance(value, ConfigValues):
value.parent = self
value.index = key
@staticmethod
def merge_configs(a, b, copy_trees=False):
"""Merge config b into a
:param a: target config
:type a: ConfigTree
:param b: source config
:type b: ConfigTree
:return: merged config a
"""
for key, value in b.items():
# if key is in both a and b and both values are dictionary then merge it otherwise override it
if key in a and isinstance(a[key], ConfigTree) and isinstance(b[key], ConfigTree):
if copy_trees:
a[key] = a[key].copy()
ConfigTree.merge_configs(a[key], b[key], copy_trees=copy_trees)
else:
if isinstance(value, ConfigValues):
value.parent = a
value.key = key
if key in a:
value.overriden_value = a[key]
a[key] = value
if a.root:
if b.root:
a.history[key] = a.history.get(key, []) + b.history.get(key, [value])
else:
a.history[key] = a.history.get(key, []) + [value]
return a
def _put(self, key_path, value, append=False):
key_elt = key_path[0]
if len(key_path) == 1:
# if value to set does not exist, override
# if they are both configs then merge
# if not then override
if key_elt in self and isinstance(self[key_elt], ConfigTree) and isinstance(value, ConfigTree):
if self.root:
new_value = ConfigTree.merge_configs(ConfigTree(), self[key_elt], copy_trees=True)
new_value = ConfigTree.merge_configs(new_value, value, copy_trees=True)
self._push_history(key_elt, new_value)
self[key_elt] = new_value
else:
ConfigTree.merge_configs(self[key_elt], value)
elif append:
# If we have t=1
# and we try to put t.a=5 then t is replaced by {a: 5}
l_value = self.get(key_elt, None)
if isinstance(l_value, ConfigValues):
l_value.tokens.append(value)
l_value.recompute()
elif isinstance(l_value, ConfigTree) and isinstance(value, ConfigValues):
value.overriden_value = l_value
value.tokens.insert(0, l_value)
value.recompute()
value.parent = self
value.key = key_elt
self._push_history(key_elt, value)
self[key_elt] = value
elif isinstance(l_value, list) and isinstance(value, ConfigValues):
self._push_history(key_elt, value)
value.overriden_value = l_value
value.parent = self
value.key = key_elt
self[key_elt] = value
elif isinstance(l_value, list):
self[key_elt] = l_value + value
self._push_history(key_elt, l_value)
elif l_value is None:
self._push_history(key_elt, value)
self[key_elt] = value
else:
raise ConfigWrongTypeException(
u"Cannot concatenate the list {key}: {value} to {prev_value} of {type}".format(
key='.'.join(key_path),
value=value,
prev_value=l_value,
type=l_value.__class__.__name__)
)
else:
# if there was an override keep overide value
if isinstance(value, ConfigValues):
value.parent = self
value.key = key_elt
value.overriden_value = self.get(key_elt, None)
self._push_history(key_elt, value)
self[key_elt] = value
else:
next_config_tree = super(ConfigTree, self).get(key_elt)
if not isinstance(next_config_tree, ConfigTree):
# create a new dictionary or overwrite a previous value
next_config_tree = ConfigTree()
self._push_history(key_elt, next_config_tree)
self[key_elt] = next_config_tree
next_config_tree._put(key_path[1:], value, append)
def _push_history(self, key, value):
if self.root:
hist = self.history.get(key)
if hist is None:
hist = self.history[key] = []
hist.append(value)
def _get(self, key_path, key_index=0, default=UndefinedKey):
key_elt = key_path[key_index]
elt = super(ConfigTree, self).get(key_elt, UndefinedKey)
if elt is UndefinedKey:
if default is UndefinedKey:
raise ConfigMissingException(u"No configuration setting found for key {key}".format(
key='.'.join(key_path[: key_index + 1])))
else:
return default
if key_index == len(key_path) - 1:
if isinstance(elt, NoneValue):
return None
elif isinstance(elt, list):
return [None if isinstance(x, NoneValue) else x for x in elt]
else:
return elt
elif isinstance(elt, ConfigTree):
return elt._get(key_path, key_index + 1, default)
else:
if default is UndefinedKey:
raise ConfigWrongTypeException(
u"{key} has type {type} rather than dict".format(key='.'.join(key_path[:key_index + 1]),
type=type(elt).__name__))
else:
return default
@staticmethod
def parse_key(string):
"""
Split a key into path elements:
- a.b.c => a, b, c
- a."b.c" => a, QuotedKey("b.c") if . is any of the special characters: $}[]:=+#`^?!@*&.
- "a" => a
- a.b."c" => a, b, c (special case)
:param string: either string key (parse '.' as sub-key) or int / float as regular keys
:return:
"""
if isinstance(string, (int, float)):
return [string]
special_characters = '$}[]:=+#`^?!@*&.'
tokens = re.findall(
r'"[^"]+"|[^{special_characters}]+'.format(special_characters=re.escape(special_characters)),
string)
def contains_special_character(token):
return any((c in special_characters) for c in token)
return [token if contains_special_character(token) else token.strip('"') for token in tokens]
def put(self, key, value, append=False):
"""Put a value in the tree (dot separated)
:param key: key to use (dot separated). E.g., a.b.c
:type key: basestring
:param value: value to put
"""
self._put(ConfigTree.parse_key(key), value, append)
def get(self, key, default=UndefinedKey):
"""Get a value from the tree
:param key: key to use (dot separated). E.g., a.b.c
:type key: basestring
:param default: default value if key not found
:type default: object
:return: value in the tree located at key
"""
return self._get(ConfigTree.parse_key(key), 0, default)
def get_string(self, key, default=UndefinedKey):
"""Return string representation of value found at key
:param key: key to use (dot separated). E.g., a.b.c
:type key: basestring
:param default: default value if key not found
:type default: basestring
:return: string value
:type return: basestring
"""
value = self.get(key, default)
if value is None:
return None
string_value = unicode(value)
if isinstance(value, bool):
string_value = string_value.lower()
return string_value
def pop(self, key, default=UndefinedKey):
"""Remove specified key and return the corresponding value.
If key is not found, default is returned if given, otherwise ConfigMissingException is raised
This method assumes the user wants to remove the last value in the chain so it parses via parse_key
and pops the last value out of the dict.
:param key: key to use (dot separated). E.g., a.b.c
:type key: basestring
:param default: default value if key not found
:type default: object
:param default: default value if key not found
:return: value in the tree located at key
"""
if default != UndefinedKey and key not in self:
return default
value = self.get(key, UndefinedKey)
lst = ConfigTree.parse_key(key)
parent = self.KEY_SEP.join(lst[0:-1])
child = lst[-1]
if parent:
self.get(parent).__delitem__(child)
else:
self.__delitem__(child)
return value
def get_int(self, key, default=UndefinedKey):
"""Return int representation of value found at key
:param key: key to use (dot separated). E.g., a.b.c
:type key: basestring
:param default: default value if key not found
:type default: int
:return: int value
:type return: int
"""
value = self.get(key, default)
try:
return int(value) if value is not None else None
except (TypeError, ValueError):
raise ConfigException(
u"{key} has type '{type}' rather than 'int'".format(key=key, type=type(value).__name__))
def get_float(self, key, default=UndefinedKey):
"""Return float representation of value found at key
:param key: key to use (dot separated). E.g., a.b.c
:type key: basestring
:param default: default value if key not found
:type default: float
:return: float value
:type return: float
"""
value = self.get(key, default)
try:
return float(value) if value is not None else None
except (TypeError, ValueError):
raise ConfigException(
u"{key} has type '{type}' rather than 'float'".format(key=key, type=type(value).__name__))
def get_bool(self, key, default=UndefinedKey):
"""Return boolean representation of value found at key
:param key: key to use (dot separated). E.g., a.b.c
:type key: basestring
:param default: default value if key not found
:type default: bool
:return: boolean value
:type return: bool
"""
# String conversions as per API-recommendations:
# https://github.com/typesafehub/config/blob/master/HOCON.md#automatic-type-conversions
bool_conversions = {
None: None,
'true': True, 'yes': True, 'on': True,
'false': False, 'no': False, 'off': False
}
string_value = self.get_string(key, default)
if string_value is not None:
string_value = string_value.lower()
try:
return bool_conversions[string_value]
except KeyError:
raise ConfigException(
u"{key} does not translate to a Boolean value".format(key=key))
def get_list(self, key, default=UndefinedKey):
"""Return list representation of value found at key
:param key: key to use (dot separated). E.g., a.b.c
:type key: basestring
:param default: default value if key not found
:type default: list
:return: list value
:type return: list
"""
value = self.get(key, default)
if isinstance(value, list):
return value
elif isinstance(value, ConfigTree):
lst = []
for k, v in sorted(value.items(), key=lambda kv: kv[0]):
if re.match('^[1-9][0-9]*$|0', k):
lst.append(v)
else:
raise ConfigException(u"{key} does not translate to a list".format(key=key))
return lst
elif value is None:
return None
else:
raise ConfigException(
u"{key} has type '{type}' rather than 'list'".format(key=key, type=type(value).__name__))
def get_config(self, key, default=UndefinedKey):
"""Return tree config representation of value found at key
:param key: key to use (dot separated). E.g., a.b.c
:type key: basestring
:param default: default value if key not found
:type default: config
:return: config value
:type return: ConfigTree
"""
value = self.get(key, default)
if isinstance(value, dict):
return value
elif value is None:
return None
else:
raise ConfigException(
u"{key} has type '{type}' rather than 'config'".format(key=key, type=type(value).__name__))
def __getitem__(self, item):
val = self.get(item)
if val is UndefinedKey:
raise KeyError(item)
return val
try:
from collections import _OrderedDictItemsView
except ImportError: # pragma: nocover
pass
else:
def items(self): # pragma: nocover
return self._OrderedDictItemsView(self)
def __getattr__(self, item):
val = self.get(item, NonExistentKey)
if val is NonExistentKey:
return super(ConfigTree, self).__getattr__(item)
return val
def __contains__(self, item):
return self._get(self.parse_key(item), default=NoneValue) is not NoneValue
def with_fallback(self, config, resolve=True):
"""
return a new config with fallback on config
:param config: config or filename of the config to fallback on
:param resolve: resolve substitutions
:return: new config with fallback on config
"""
if isinstance(config, ConfigTree):
result = ConfigTree.merge_configs(copy.deepcopy(config), copy.deepcopy(self))
else:
from . import ConfigFactory
result = ConfigTree.merge_configs(ConfigFactory.parse_file(config, resolve=False), copy.deepcopy(self))
if resolve:
from . import ConfigParser
ConfigParser.resolve_substitutions(result)
return result
def as_plain_ordered_dict(self):
"""return a deep copy of this config as a plain OrderedDict
The config tree should be fully resolved.
This is useful to get an object with no special semantics such as path expansion for the keys.
In particular this means that keys that contain dots are not surrounded with '"' in the plain OrderedDict.
:return: this config as an OrderedDict
:type return: OrderedDict
"""
def plain_value(v):
if isinstance(v, list):
return [plain_value(e) for e in v]
elif isinstance(v, ConfigTree):
return v.as_plain_ordered_dict()
else:
if isinstance(v, ConfigValues):
raise ConfigException("The config tree contains unresolved elements")
return v
return OrderedDict((key.strip('"') if isinstance(key, (unicode, basestring)) else key, plain_value(value))
for key, value in self.items())
class ConfigList(list):
def __init__(self, iterable=[]):
new_list = list(iterable)
super(ConfigList, self).__init__(new_list)
for index, value in enumerate(new_list):
if isinstance(value, ConfigValues):
value.parent = self
value.key = index
class ConfigInclude(object):
def __init__(self, tokens):
self.tokens = tokens
class ConfigValues(object):
def __init__(self, tokens, instring, loc):
self.tokens = tokens
self.parent = None
self.key = None
self._instring = instring
self._loc = loc
self.overriden_value = None
self.recompute()
def recompute(self):
for index, token in enumerate(self.tokens):
if isinstance(token, ConfigSubstitution):
token.parent = self
token.index = index
# no value return empty string
if len(self.tokens) == 0:
self.tokens = ['']
# if the last token is an unquoted string then right strip it
if isinstance(self.tokens[-1], ConfigUnquotedString):
# rstrip only whitespaces, not \n\r because they would have been used escaped
self.tokens[-1] = self.tokens[-1].rstrip(' \t')
def has_substitution(self):
return len(self.get_substitutions()) > 0
def get_substitutions(self):
lst = []
node = self
while node:
lst = [token for token in node.tokens if isinstance(token, ConfigSubstitution)] + lst
if hasattr(node, 'overriden_value'):
node = node.overriden_value
if not isinstance(node, ConfigValues):
break
else:
break
return lst
def transform(self):
def determine_type(token):
return ConfigTree if isinstance(token, ConfigTree) else ConfigList if isinstance(token, list) else str
def format_str(v, last=False):
if isinstance(v, ConfigQuotedString):
return v.value + ('' if last else v.ws)
else:
return '' if v is None else unicode(v)
if self.has_substitution():
return self
# remove None tokens
tokens = [token for token in self.tokens if token is not None]
if not tokens:
return None
# check if all tokens are compatible
first_tok_type = determine_type(tokens[0])
for index, token in enumerate(tokens[1:]):
tok_type = determine_type(token)
if first_tok_type is not tok_type:
raise ConfigWrongTypeException(
"Token '{token}' of type {tok_type} (index {index}) must be of type {req_tok_type} "
"(line: {line}, col: {col})".format(
token=token,
index=index + 1,
tok_type=tok_type.__name__,
req_tok_type=first_tok_type.__name__,
line=lineno(self._loc, self._instring),
col=col(self._loc, self._instring)))
if first_tok_type is ConfigTree:
child = []
if hasattr(self, 'overriden_value'):
node = self.overriden_value
while node:
if isinstance(node, ConfigValues):
value = node.transform()
if isinstance(value, ConfigTree):
child.append(value)
else:
break
elif isinstance(node, ConfigTree):
child.append(node)
else:
break
if hasattr(node, 'overriden_value'):
node = node.overriden_value
else:
break
result = ConfigTree()
for conf in reversed(child):
ConfigTree.merge_configs(result, conf, copy_trees=True)
for token in tokens:
ConfigTree.merge_configs(result, token, copy_trees=True)
return result
elif first_tok_type is ConfigList:
result = []
main_index = 0
for sublist in tokens:
sublist_result = ConfigList()
for token in sublist:
if isinstance(token, ConfigValues):
token.parent = result
token.key = main_index
main_index += 1
sublist_result.append(token)
result.extend(sublist_result)
return result
else:
if len(tokens) == 1:
if isinstance(tokens[0], ConfigQuotedString):
return tokens[0].value
return tokens[0]
else:
return ''.join(format_str(token) for token in tokens[:-1]) + format_str(tokens[-1], True)
def put(self, index, value):
self.tokens[index] = value
def __repr__(self): # pragma: no cover
return '[ConfigValues: ' + ','.join(str(o) for o in self.tokens) + ']'
class ConfigSubstitution(object):
def __init__(self, variable, optional, ws, instring, loc):
self.variable = variable
self.optional = optional
self.ws = ws
self.index = None
self.parent = None
self.instring = instring
self.loc = loc
def __repr__(self): # pragma: no cover
return '[ConfigSubstitution: ' + self.variable + ']'
class ConfigUnquotedString(unicode):
def __new__(cls, value):
return super(ConfigUnquotedString, cls).__new__(cls, value)
class ConfigQuotedString(object):
def __init__(self, value, ws, instring, loc):
self.value = value
self.ws = ws
self.instring = instring
self.loc = loc
def __repr__(self): # pragma: no cover
return '[ConfigQuotedString: ' + self.value + ']'

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@@ -0,0 +1,329 @@
import json
import re
import sys
from . import ConfigFactory
from .config_tree import ConfigQuotedString
from .config_tree import ConfigSubstitution
from .config_tree import ConfigTree
from .config_tree import ConfigValues
from .config_tree import NoneValue
try:
basestring
except NameError:
basestring = str
unicode = str
class HOCONConverter(object):
_number_re = r'[+-]?(\d*\.\d+|\d+(\.\d+)?)([eE][+\-]?\d+)?(?=$|[ \t]*([\$\}\],#\n\r]|//))'
_number_re_matcher = re.compile(_number_re)
@classmethod
def to_json(cls, config, compact=False, indent=2, level=0):
"""Convert HOCON input into a JSON output
:return: JSON string representation
:type return: basestring
"""
lines = ""
if isinstance(config, ConfigTree):
if len(config) == 0:
lines += '{}'
else:
lines += '{\n'
bet_lines = []
for key, item in config.items():
bet_lines.append('{indent}"{key}": {value}'.format(
indent=''.rjust((level + 1) * indent, ' '),
key=key.strip('"'), # for dotted keys enclosed with "" to not be interpreted as nested key
value=cls.to_json(item, compact, indent, level + 1))
)
lines += ',\n'.join(bet_lines)
lines += '\n{indent}}}'.format(indent=''.rjust(level * indent, ' '))
elif isinstance(config, list):
if len(config) == 0:
lines += '[]'
else:
lines += '[\n'
bet_lines = []
for item in config:
bet_lines.append('{indent}{value}'.format(
indent=''.rjust((level + 1) * indent, ' '),
value=cls.to_json(item, compact, indent, level + 1))
)
lines += ',\n'.join(bet_lines)
lines += '\n{indent}]'.format(indent=''.rjust(level * indent, ' '))
elif isinstance(config, basestring):
lines = json.dumps(config)
elif config is None or isinstance(config, NoneValue):
lines = 'null'
elif config is True:
lines = 'true'
elif config is False:
lines = 'false'
else:
lines = str(config)
return lines
@staticmethod
def _auto_indent(lines, section):
# noinspection PyBroadException
try:
indent = len(lines) - lines.rindex('\n')
except Exception:
indent = len(lines)
# noinspection PyBroadException
try:
section_indent = section.index('\n')
except Exception:
section_indent = len(section)
if section_indent < 3:
return lines + section
indent = '\n' + ''.rjust(indent, ' ')
return lines + indent.join([sec.strip() for sec in section.split('\n')])
# indent = ''.rjust(indent, ' ')
# return lines + section.replace('\n', '\n'+indent)
@classmethod
def to_hocon(cls, config, compact=False, indent=2, level=0):
"""Convert HOCON input into a HOCON output
:return: JSON string representation
:type return: basestring
"""
lines = ""
if isinstance(config, ConfigTree):
if len(config) == 0:
lines += '{}'
else:
if level > 0: # don't display { at root level
lines += '{\n'
bet_lines = []
for key, item in config.items():
if compact:
full_key = key
while isinstance(item, ConfigTree) and len(item) == 1:
key, item = next(iter(item.items()))
full_key += '.' + key
else:
full_key = key
if isinstance(full_key, float) or \
(isinstance(full_key, (basestring, unicode)) and cls._number_re_matcher.match(full_key)):
# if key can be casted to float, and it is a string, make sure we quote it
full_key = '\"{}\"'.format(full_key)
bet_line = ('{indent}{key}{assign_sign} '.format(
indent=''.rjust(level * indent, ' '),
key=full_key,
assign_sign='' if isinstance(item, dict) else ' =',)
)
value_line = cls.to_hocon(item, compact, indent, level + 1)
if isinstance(item, (list, tuple)):
bet_lines.append(cls._auto_indent(bet_line, value_line))
else:
bet_lines.append(bet_line + value_line)
lines += '\n'.join(bet_lines)
if level > 0: # don't display { at root level
lines += '\n{indent}}}'.format(indent=''.rjust((level - 1) * indent, ' '))
elif isinstance(config, (list, tuple)):
if len(config) == 0:
lines += '[]'
else:
# lines += '[\n'
lines += '['
bet_lines = []
base_len = len(lines)
skip_comma = False
for i, item in enumerate(config):
if 0 < i and not skip_comma:
# if not isinstance(item, (str, int, float)):
# lines += ',\n{indent}'.format(indent=''.rjust(level * indent, ' '))
# else:
# lines += ', '
lines += ', '
skip_comma = False
new_line = cls.to_hocon(item, compact, indent, level + 1)
lines += new_line
if '\n' in new_line or len(lines) - base_len > 80:
if i < len(config) - 1:
lines += ',\n{indent}'.format(indent=''.rjust(level * indent, ' '))
base_len = len(lines)
skip_comma = True
# bet_lines.append('{value}'.format(value=cls.to_hocon(item, compact, indent, level + 1)))
# lines += '\n'.join(bet_lines)
# lines += ', '.join(bet_lines)
# lines += '\n{indent}]'.format(indent=''.rjust((level - 1) * indent, ' '))
lines += ']'
elif isinstance(config, basestring):
if '\n' in config and len(config) > 1:
lines = '"""{value}"""'.format(value=config) # multilines
else:
lines = '"{value}"'.format(value=cls.__escape_string(config))
elif isinstance(config, ConfigValues):
lines = ''.join(cls.to_hocon(o, compact, indent, level) for o in config.tokens)
elif isinstance(config, ConfigSubstitution):
lines = '${'
if config.optional:
lines += '?'
lines += config.variable + '}' + config.ws
elif isinstance(config, ConfigQuotedString):
if '\n' in config.value and len(config.value) > 1:
lines = '"""{value}"""'.format(value=config.value) # multilines
else:
lines = '"{value}"'.format(value=cls.__escape_string(config.value))
elif config is None or isinstance(config, NoneValue):
lines = 'null'
elif config is True:
lines = 'true'
elif config is False:
lines = 'false'
else:
lines = str(config)
return lines
@classmethod
def to_yaml(cls, config, compact=False, indent=2, level=0):
"""Convert HOCON input into a YAML output
:return: YAML string representation
:type return: basestring
"""
lines = ""
if isinstance(config, ConfigTree):
if len(config) > 0:
if level > 0:
lines += '\n'
bet_lines = []
for key, item in config.items():
bet_lines.append('{indent}{key}: {value}'.format(
indent=''.rjust(level * indent, ' '),
key=key.strip('"'), # for dotted keys enclosed with "" to not be interpreted as nested key,
value=cls.to_yaml(item, compact, indent, level + 1))
)
lines += '\n'.join(bet_lines)
elif isinstance(config, list):
config_list = [line for line in config if line is not None]
if len(config_list) == 0:
lines += '[]'
else:
lines += '\n'
bet_lines = []
for item in config_list:
bet_lines.append('{indent}- {value}'.format(indent=''.rjust(level * indent, ' '),
value=cls.to_yaml(item, compact, indent, level + 1)))
lines += '\n'.join(bet_lines)
elif isinstance(config, basestring):
# if it contains a \n then it's multiline
lines = config.split('\n')
if len(lines) == 1:
lines = config
else:
lines = '|\n' + '\n'.join([line.rjust(level * indent, ' ') for line in lines])
elif config is None or isinstance(config, NoneValue):
lines = 'null'
elif config is True:
lines = 'true'
elif config is False:
lines = 'false'
else:
lines = str(config)
return lines
@classmethod
def to_properties(cls, config, compact=False, indent=2, key_stack=[]):
"""Convert HOCON input into a .properties output
:return: .properties string representation
:type return: basestring
:return:
"""
def escape_value(value):
return value.replace('=', '\\=').replace('!', '\\!').replace('#', '\\#').replace('\n', '\\\n')
stripped_key_stack = [key.strip('"') for key in key_stack]
lines = []
if isinstance(config, ConfigTree):
for key, item in config.items():
if item is not None:
lines.append(cls.to_properties(item, compact, indent, stripped_key_stack + [key]))
elif isinstance(config, list):
for index, item in enumerate(config):
if item is not None:
lines.append(cls.to_properties(item, compact, indent, stripped_key_stack + [str(index)]))
elif isinstance(config, basestring):
lines.append('.'.join(stripped_key_stack) + ' = ' + escape_value(config))
elif config is True:
lines.append('.'.join(stripped_key_stack) + ' = true')
elif config is False:
lines.append('.'.join(stripped_key_stack) + ' = false')
elif config is None or isinstance(config, NoneValue):
pass
else:
lines.append('.'.join(stripped_key_stack) + ' = ' + str(config))
return '\n'.join([line for line in lines if len(line) > 0])
@classmethod
def convert(cls, config, output_format='json', indent=2, compact=False):
converters = {
'json': cls.to_json,
'properties': cls.to_properties,
'yaml': cls.to_yaml,
'hocon': cls.to_hocon,
}
if output_format in converters:
return converters[output_format](config, compact, indent)
else:
raise Exception("Invalid format '{format}'. Format must be 'json', 'properties', 'yaml' or 'hocon'".format(
format=output_format))
@classmethod
def convert_from_file(cls, input_file=None, output_file=None, output_format='json', indent=2, compact=False):
"""Convert to json, properties or yaml
:param input_file: input file, if not specified stdin
:param output_file: output file, if not specified stdout
:param output_format: json, properties or yaml
:return: json, properties or yaml string representation
"""
if input_file is None:
content = sys.stdin.read()
config = ConfigFactory.parse_string(content)
else:
config = ConfigFactory.parse_file(input_file)
res = cls.convert(config, output_format, indent, compact)
if output_file is None:
print(res)
else:
with open(output_file, "w") as fd:
fd.write(res)
@classmethod
def __escape_match(cls, match):
char = match.group(0)
return {
'\b': r'\b',
'\t': r'\t',
'\n': r'\n',
'\f': r'\f',
'\r': r'\r',
'"': r'\"',
'\\': r'\\',
}.get(char) or (r'\u%04x' % ord(char))
@classmethod
def __escape_string(cls, string):
return re.sub(r'[\x00-\x1F"\\]', cls.__escape_match, string)

View File

@@ -0,0 +1,17 @@
class ConfigException(Exception):
def __init__(self, message, ex=None):
super(ConfigException, self).__init__(message)
self._exception = ex
class ConfigMissingException(ConfigException, KeyError):
pass
class ConfigSubstitutionException(ConfigException):
pass
class ConfigWrongTypeException(ConfigException):
pass

View File

@@ -1,6 +1,9 @@
import os
import re
import warnings
from clearml_agent.definitions import PIP_EXTRA_INDICES
from .requirement import Requirement
@@ -42,9 +45,14 @@ def parse(reqstr, cwd=None):
yield requirement
elif line.startswith('-f') or line.startswith('--find-links') or \
line.startswith('-i') or line.startswith('--index-url') or \
line.startswith('--extra-index-url') or \
line.startswith('--no-index'):
warnings.warn('Private repos not supported. Skipping.')
elif line.startswith('--extra-index-url'):
extra_index = line[len('--extra-index-url'):].strip()
extra_index = re.sub(r"\s+#.*$", "", extra_index) # strip comments
if extra_index and extra_index not in PIP_EXTRA_INDICES:
PIP_EXTRA_INDICES.append(extra_index)
print(f"appended {extra_index} to list of extra pip indices")
continue
elif line.startswith('-Z') or line.startswith('--always-unzip'):
warnings.warn('Unused option --always-unzip. Skipping.')

View File

@@ -0,0 +1,7 @@
from clearml_agent.definitions import EnvironmentConfig
ENV_START_AGENT_SCRIPT_PATH = EnvironmentConfig('CLEARML_K8S_GLUE_START_AGENT_SCRIPT_PATH')
"""
Script path to use when creating the bash script to run the agent inside the scheduled pod's docker container.
Script will be appended to the specified file.
"""

File diff suppressed because it is too large Load Diff

View File

@@ -20,13 +20,13 @@ from typing import Text, Dict, Any, Optional, AnyStr, IO, Union
import attr
import furl
import pyhocon
import yaml
from attr import fields_dict
from pathlib2 import Path
import six
from six.moves import reduce
from clearml_agent.external import pyhocon
from clearml_agent.errors import CommandFailedError
from clearml_agent.helper.dicts import filter_keys
@@ -204,10 +204,13 @@ def get_python_path(script_dir, entry_point, package_api, is_conda_env=False):
["-c", "import sys; print('{}'.join(sys.path))".format(python_path_sep)])
org_python_path = python_path_cmd.get_output(cwd=script_dir)
# Add path of the script directory and executable directory
python_path = '{}{python_path_sep}{}{python_path_sep}'.format(
Path(script_dir).absolute().as_posix(),
(Path(script_dir) / Path(entry_point)).parent.absolute().as_posix(),
python_path_sep=python_path_sep)
python_path = '{}{python_path_sep}'.format(
Path(script_dir).absolute().as_posix(), python_path_sep=python_path_sep)
if entry_point:
python_path += '{}{python_path_sep}'.format(
(Path(script_dir) / Path(entry_point)).parent.absolute().as_posix(),
python_path_sep=python_path_sep)
if is_windows_platform():
python_path = python_path.replace('/', '\\')
@@ -503,6 +506,38 @@ def is_conda(config):
return config['agent.package_manager.type'].lower() == 'conda'
def convert_cuda_version_to_float_single_digit_str(cuda_version):
"""
Convert a cuda_version (string/float/int) into a float representation, e.g. 11.4
Notice returns String Single digit only!
:return str:
"""
cuda_version = str(cuda_version or 0)
# if we have patch version we parse it here
cuda_version_parts = [int(v) for v in cuda_version.split('.')]
if len(cuda_version_parts) > 1 or cuda_version_parts[0] < 60:
cuda_version = 10 * cuda_version_parts[0]
if len(cuda_version_parts) > 1:
cuda_version += float(".{:d}".format(cuda_version_parts[1]))*10
cuda_version_full = "{:.1f}".format(float(cuda_version) / 10.)
else:
cuda_version = cuda_version_parts[0]
cuda_version_full = "{:.1f}".format(float(cuda_version) / 10.)
return cuda_version_full
def convert_cuda_version_to_int_10_base_str(cuda_version):
"""
Convert a cuda_version (string/float/int) into an integer version, e.g. 112 for cuda 11.2
Return string
:return str:
"""
cuda_version = convert_cuda_version_to_float_single_digit_str(cuda_version)
return str(int(float(cuda_version)*10))
class NonStrictAttrs(object):
@classmethod

View File

@@ -2,7 +2,7 @@ from __future__ import unicode_literals, print_function
import csv
import sys
from collections import Iterable
from collections.abc import Iterable
from typing import List, Dict, Text, Any
from attr import attrs, attrib

View File

@@ -0,0 +1,96 @@
import re
import shlex
from typing import Tuple, List, TYPE_CHECKING
from urllib.parse import urlunparse, urlparse
from clearml_agent.definitions import (
ENV_AGENT_GIT_PASS,
ENV_AGENT_SECRET_KEY,
ENV_AWS_SECRET_KEY,
ENV_AZURE_ACCOUNT_KEY,
ENV_AGENT_AUTH_TOKEN,
ENV_DOCKER_IMAGE,
ENV_DOCKER_ARGS_HIDE_ENV,
)
if TYPE_CHECKING:
from clearml_agent.session import Session
class DockerArgsSanitizer:
@classmethod
def sanitize_docker_command(cls, session, docker_command):
# type: (Session, List[str]) -> List[str]
if not docker_command:
return docker_command
enabled = (
session.config.get('agent.hide_docker_command_env_vars.enabled', False) or ENV_DOCKER_ARGS_HIDE_ENV.get()
)
if not enabled:
return docker_command
keys = set(session.config.get('agent.hide_docker_command_env_vars.extra_keys', []))
if ENV_DOCKER_ARGS_HIDE_ENV.get():
keys.update(shlex.split(ENV_DOCKER_ARGS_HIDE_ENV.get().strip()))
keys.update(
ENV_AGENT_GIT_PASS.vars,
ENV_AGENT_SECRET_KEY.vars,
ENV_AWS_SECRET_KEY.vars,
ENV_AZURE_ACCOUNT_KEY.vars,
ENV_AGENT_AUTH_TOKEN.vars,
)
parse_embedded_urls = bool(session.config.get(
'agent.hide_docker_command_env_vars.parse_embedded_urls', True
))
skip_next = False
result = docker_command[:]
for i, item in enumerate(docker_command):
if skip_next:
skip_next = False
continue
try:
if item in ("-e", "--env"):
key, sep, val = result[i + 1].partition("=")
if not sep:
continue
if key in ENV_DOCKER_IMAGE.vars:
# special case - this contains a complete docker command
val = " ".join(cls.sanitize_docker_command(session, re.split(r"\s", val)))
elif key in keys:
val = "********"
elif parse_embedded_urls:
val = cls._sanitize_urls(val)[0]
result[i + 1] = "{}={}".format(key, val)
skip_next = True
elif parse_embedded_urls and not item.startswith("-"):
item, changed = cls._sanitize_urls(item)
if changed:
result[i] = item
except (KeyError, TypeError):
pass
return result
@staticmethod
def _sanitize_urls(s: str) -> Tuple[str, bool]:
""" Replaces passwords in URLs with asterisks """
regex = re.compile("^([^:]*:)[^@]+(.*)$")
tokens = re.split(r"\s", s)
changed = False
for k in range(len(tokens)):
if "@" in tokens[k]:
res = urlparse(tokens[k])
if regex.match(res.netloc):
changed = True
tokens[k] = urlunparse((
res.scheme,
regex.sub("\\1********\\2", res.netloc),
res.path,
res.params,
res.query,
res.fragment
))
return " ".join(tokens) if changed else s, changed

View File

@@ -80,7 +80,12 @@ class PackageManager(object):
def upgrade_pip(self):
result = self._install(
select_for_platform(windows='pip{}', linux='pip{}').format(self.get_pip_version()), "--upgrade")
*select_for_platform(
windows=self.get_pip_versions(),
linux=self.get_pip_versions()
),
"--upgrade"
)
packages = self.run_with_env(('list',), output=True).splitlines()
# p.split is ('pip', 'x.y.z')
pip = [p.split() for p in packages if len(p.split()) == 2 and p.split()[0] == 'pip']
@@ -157,15 +162,26 @@ class PackageManager(object):
def set_pip_version(cls, version):
if not version:
return
version = version.replace(' ', '')
if ('=' in version) or ('~' in version) or ('<' in version) or ('>' in version):
cls._pip_version = version
if isinstance(version, (list, tuple)):
versions = version
else:
cls._pip_version = "=="+version
versions = [version]
cls._pip_version = []
for version in versions:
version = version.strip()
if ('=' in version) or ('~' in version) or ('<' in version) or ('>' in version):
cls._pip_version.append(version)
else:
cls._pip_version.append("==" + version)
@classmethod
def get_pip_version(cls):
return cls._pip_version or ''
def get_pip_versions(cls, pip="pip", wrap=''):
return [
(wrap + pip + version + wrap)
for version in cls._pip_version or [pip]
]
def get_cached_venv(self, requirements, docker_cmd, python_version, cuda_version, destination_folder):
# type: (Dict, Optional[Union[dict, str]], Optional[str], Optional[str], Path) -> Optional[Path]
@@ -176,8 +192,13 @@ class PackageManager(object):
if not self._get_cache_manager():
return None
keys = self._generate_reqs_hash_keys(requirements, docker_cmd, python_version, cuda_version)
return self._get_cache_manager().copy_cached_entry(keys, destination_folder)
try:
keys = self._generate_reqs_hash_keys(requirements, docker_cmd, python_version, cuda_version)
return self._get_cache_manager().copy_cached_entry(keys, destination_folder)
except Exception as ex:
print("WARNING: Failed accessing venvs cache at {}: {}".format(destination_folder, ex))
print("WARNING: Skipping venv cache - folder not accessible!")
return None
def add_cached_venv(
self,
@@ -194,9 +215,15 @@ class PackageManager(object):
"""
if not self._get_cache_manager():
return
keys = self._generate_reqs_hash_keys(requirements, docker_cmd, python_version, cuda_version)
return self._get_cache_manager().add_entry(
keys=keys, source_folder=source_folder, exclude_sub_folders=exclude_sub_folders)
try:
keys = self._generate_reqs_hash_keys(requirements, docker_cmd, python_version, cuda_version)
return self._get_cache_manager().add_entry(
keys=keys, source_folder=source_folder, exclude_sub_folders=exclude_sub_folders)
except Exception as ex:
print("WARNING: Failed accessing venvs cache at {}: {}".format(source_folder, ex))
print("WARNING: Skipping venv cache - folder not accessible!")
return None
def get_cache_folder(self):
# type: () -> Optional[Path]
@@ -213,6 +240,13 @@ class PackageManager(object):
return
return self._get_cache_manager().get_last_copied_entry()
def is_cached_enabled(self):
if not self._cache_manager:
cache_folder = ENV_VENV_CACHE_PATH.get() or self.session.config.get(self._config_cache_folder, None)
if not cache_folder:
return False
return True
@classmethod
def _generate_reqs_hash_keys(cls, requirements_list, docker_cmd, python_version, cuda_version):
# type: (Union[Dict, List[Dict]], Optional[Union[dict, str]], Optional[str], Optional[str]) -> List[str]
@@ -257,12 +291,19 @@ class PackageManager(object):
def _get_cache_manager(self):
if not self._cache_manager:
cache_folder = ENV_VENV_CACHE_PATH.get() or self.session.config.get(self._config_cache_folder, None)
if not cache_folder:
cache_folder = None
try:
cache_folder = ENV_VENV_CACHE_PATH.get() or self.session.config.get(self._config_cache_folder, None)
if not cache_folder:
return None
max_entries = int(self.session.config.get(self._config_cache_max_entries, 10))
free_space_threshold = float(self.session.config.get(self._config_cache_free_space_threshold, 0))
self._cache_manager = FolderCache(
cache_folder, max_cache_entries=max_entries, min_free_space_gb=free_space_threshold)
except Exception as ex:
print("WARNING: Failed accessing venvs cache at {}: {}".format(cache_folder, ex))
print("WARNING: Skipping venv cache - folder not accessible!")
return None
max_entries = int(self.session.config.get(self._config_cache_max_entries, 10))
free_space_threshold = float(self.session.config.get(self._config_cache_free_space_threshold, 0))
self._cache_manager = FolderCache(
cache_folder, max_cache_entries=max_entries, min_free_space_gb=free_space_threshold)
return self._cache_manager

View File

@@ -19,7 +19,9 @@ from clearml_agent.external.requirements_parser import parse
from clearml_agent.external.requirements_parser.requirement import Requirement
from clearml_agent.errors import CommandFailedError
from clearml_agent.helper.base import rm_tree, NonStrictAttrs, select_for_platform, is_windows_platform, ExecutionInfo
from clearml_agent.helper.base import (
rm_tree, NonStrictAttrs, select_for_platform, is_windows_platform, ExecutionInfo,
convert_cuda_version_to_float_single_digit_str, convert_cuda_version_to_int_10_base_str, )
from clearml_agent.helper.process import Argv, Executable, DEVNULL, CommandSequence, PathLike
from clearml_agent.helper.package.requirements import SimpleVersion
from clearml_agent.session import Session
@@ -133,7 +135,12 @@ class CondaAPI(PackageManager):
if self.env_read_only:
print('Conda environment in read-only mode, skipping pip upgrade.')
return ''
return self._install(select_for_platform(windows='pip{}', linux='pip{}').format(self.pip.get_pip_version()))
return self._install(
*select_for_platform(
windows=self.pip.get_pip_versions(),
linux=self.pip.get_pip_versions()
)
)
def create(self):
"""
@@ -167,7 +174,7 @@ class CondaAPI(PackageManager):
raise ValueError("Could not restore Conda environment, cannot find {}".format(
self.conda_pre_build_env_path))
output = Argv(
command = Argv(
self.conda,
"create",
"--yes",
@@ -175,7 +182,9 @@ class CondaAPI(PackageManager):
"--prefix",
self.path,
"python={}".format(self.python),
).get_output(stderr=DEVNULL)
)
print('Executing Conda: {}'.format(command.serialize()))
output = command.get_output(stderr=DEVNULL)
match = re.search(
r"\W*(.*activate) ({})".format(re.escape(str(self.path))), output
)
@@ -189,14 +198,6 @@ class CondaAPI(PackageManager):
if conda_env.is_file() and not is_windows_platform():
self.source = self.pip.source = CommandSequence(('source', conda_env.as_posix()), self.source)
# install cuda toolkit
# noinspection PyBroadException
try:
cuda_version = float(int(self.session.config['agent.cuda_version'])) / 10.0
if cuda_version > 0:
self._install('cudatoolkit={:.1f}'.format(cuda_version))
except Exception:
pass
return self
def _init_existing_environment(self, conda_pre_build_env_path):
@@ -428,7 +429,7 @@ class CondaAPI(PackageManager):
finally:
PackageManager._selected_manager = self
self.requirements_manager.post_install(self.session)
self.requirements_manager.post_install(self.session, package_manager=self)
def load_requirements(self, requirements):
# if we are in read only mode, do not uninstall anything
@@ -456,9 +457,18 @@ class CondaAPI(PackageManager):
requirements['conda'] = requirements['conda'].split('\n')
has_torch = False
has_matplotlib = False
has_cudatoolkit = False
cuda_version_full = 0
# noinspection PyBroadException
try:
cuda_version = int(self.session.config.get('agent.cuda_version', 0))
except:
# notice this is an integer version: 112 (means 11.2)
cuda_version = str(self.session.config.get('agent.cuda_version', "")).strip()
if not cuda_version:
cuda_version = 0
else:
cuda_version_full = convert_cuda_version_to_float_single_digit_str(cuda_version)
cuda_version = int(convert_cuda_version_to_int_10_base_str(cuda_version))
except Exception:
cuda_version = 0
# notice 'conda' entry with empty string is a valid conda requirements list, it means pip only
@@ -475,6 +485,7 @@ class CondaAPI(PackageManager):
continue
m = MarkerRequirement(marker[0])
m.validate_local_file_ref()
# conda does not support version control links
if m.vcs:
pip_requirements.append(m)
@@ -488,6 +499,19 @@ class CondaAPI(PackageManager):
if '.' not in m.specs[0][1]:
continue
if m.name.lower() == 'cudatoolkit':
# skip cuda if we are running on CPU
if not cuda_version:
continue
has_cudatoolkit = True
# cuda version, only major.minor
requested_cuda_version = '.'.join(m.specs[0][1].split('.')[:2])
# make sure that the cuda_version we support can install the requested cuda (major version)
if int(float(requested_cuda_version)) > int(float(cuda_version)/10.0):
continue
m.specs = [(m.specs[0][0], str(requested_cuda_version)), ]
conda_supported_req_names.append(m.name.lower())
if m.req.name.lower() == 'matplotlib':
has_matplotlib = True
@@ -504,6 +528,11 @@ class CondaAPI(PackageManager):
reqs.append(m)
if not has_cudatoolkit and cuda_version:
m = MarkerRequirement(Requirement.parse("cudatoolkit == {}".format(cuda_version_full)))
has_cudatoolkit = True
reqs.append(m)
# if we have a conda list, the rest should be installed with pip,
# this means any experiment that was executed with pip environment,
# will be installed using pip
@@ -517,9 +546,9 @@ class CondaAPI(PackageManager):
continue
m = MarkerRequirement(marker[0])
# skip over local files (we cannot change the version to a local file)
if m.local_file:
continue
# remove local files reference if it does not exist (leave the package name)
m.validate_local_file_ref()
m_name = (m.name or '').lower()
if m_name in conda_supported_req_names:
# this package is in the conda list,
@@ -559,8 +588,12 @@ class CondaAPI(PackageManager):
# change _ to - in name but not the prefix _ (as this is conda prefix)
if r.name and not r.name.startswith('_') and not requirements.get('conda', None):
r.name = r.name.replace('_', '-')
# remove .post from version numbers, it fails ~= version, and change == to ~=
if r.specs and r.specs[0]:
if has_cudatoolkit and r.specs and len(r.specs[0]) > 1 and r.name == 'cudatoolkit':
# select specific cuda version if it came from the requirements
r.specs = [(r.specs[0][0].replace('==', '='), r.specs[0][1].split('.post')[0])]
elif r.specs and r.specs[0] and len(r.specs[0]) > 1:
# remove .post from version numbers it fails with ~= version, and change == to ~=
r.specs = [(r.specs[0][0].replace('==', '~='), r.specs[0][1].split('.post')[0])]
while reqs:
@@ -614,7 +647,7 @@ class CondaAPI(PackageManager):
finally:
PackageManager._selected_manager = self
self.requirements_manager.post_install(self.session)
self.requirements_manager.post_install(self.session, package_manager=self)
return True
def _parse_conda_result_bad_packges(self, result_dict):

View File

@@ -46,10 +46,17 @@ class ExternalRequirements(SimpleSubstitution):
post_install_req = self.post_install_req
self.post_install_req = []
for req in post_install_req:
try:
freeze_base = PackageManager.out_of_scope_freeze() or ''
except:
freeze_base = ''
if self.is_already_installed(req):
print("No need to reinstall \'{}\' from VCS, "
"the exact same version is already installed".format(req.name))
continue
if not req.pip_new_version:
# noinspection PyBroadException
try:
freeze_base = PackageManager.out_of_scope_freeze() or dict(pip=[])
except Exception:
freeze_base = dict(pip=[])
req_line = self._add_vcs_credentials(req, session)
@@ -59,14 +66,14 @@ class ExternalRequirements(SimpleSubstitution):
PackageManager.out_of_scope_install_package(req_line, "--no-deps")
# noinspection PyBroadException
try:
freeze_post = PackageManager.out_of_scope_freeze() or ''
freeze_post = PackageManager.out_of_scope_freeze() or dict(pip=[])
package_name = list(set(freeze_post['pip']) - set(freeze_base['pip']))
if package_name and package_name[0] not in self.post_install_req_lookup:
self.post_install_req_lookup[package_name[0]] = req.req.line
except Exception:
pass
# no need to force reinstall, pip will always rebuilt if the package comes from git
# no need to force reinstall, pip will always rebuild if the package comes from git
# and make sure the required packages are installed (if they are not it will install them)
if not PackageManager.out_of_scope_install_package(req_line):
raise ValueError("Failed installing GIT/HTTPs package \'{}\'".format(req_line))
@@ -85,19 +92,14 @@ class ExternalRequirements(SimpleSubstitution):
vcs_url = req_line[4:]
# reverse replace
vcs_url = vcs_url[::-1].replace(fragment[::-1], '', 1)[::-1]
# remove ssh:// or git:// prefix for git detection and credentials
scheme = ''
if vcs_url and (vcs_url.startswith('ssh://') or vcs_url.startswith('git://')):
scheme = 'ssh://' # notice git:// is actually ssh://
vcs_url = vcs_url[6:]
# notice git:// is actually ssh://
if vcs_url and vcs_url.startswith('git://'):
vcs_url = vcs_url.replace('git://', 'ssh://', 1)
from ..repo import Git
vcs = Git(session=session, url=vcs_url, location=None, revision=None)
vcs._set_ssh_url()
new_req_line = 'git+{}{}{}'.format(
'' if scheme and '://' in vcs.url else scheme,
vcs.url_with_auth, fragment
)
new_req_line = 'git+{}{}'.format(vcs.url_with_auth, fragment)
if new_req_line != req_line:
furl_line = furl(new_req_line)
print('Replacing original pip vcs \'{}\' with \'{}\''.format(
@@ -175,5 +177,11 @@ class OnlyExternalRequirements(ExternalRequirements):
# Do not store the skipped requirements
# mark skip package
if super(OnlyExternalRequirements, self).match(req):
if self.is_already_installed(req):
print("No need to reinstall \'{}\' from VCS, "
"the exact same version is already installed".format(req.name))
return Text('')
return self._add_vcs_credentials(req, self._session)
return Text('')

View File

@@ -12,7 +12,7 @@ from ..requirements import RequirementsManager
class VirtualenvPip(SystemPip, PackageManager):
def __init__(self, session, python, requirements_manager, path, interpreter=None, execution_info=None, **kwargs):
# type: (Session, float, RequirementsManager, PathLike, PathLike, ExecutionInfo, Any) -> ()
# type: (Session, str, RequirementsManager, PathLike, PathLike, ExecutionInfo, Any) -> ()
"""
Program interface to virtualenv pip.
Must be given either path to virtualenv or source command.
@@ -39,7 +39,7 @@ class VirtualenvPip(SystemPip, PackageManager):
if isinstance(requirements, dict) and requirements.get("pip"):
requirements["pip"] = self.requirements_manager.replace(requirements["pip"])
super(VirtualenvPip, self).load_requirements(requirements)
self.requirements_manager.post_install(self.session)
self.requirements_manager.post_install(self.session, package_manager=self)
def create_flags(self):
"""

View File

@@ -5,6 +5,7 @@ import attr
import sys
import os
from pathlib2 import Path
from clearml_agent.helper.process import Argv, DEVNULL, check_if_command_exists
from clearml_agent.session import Session, POETRY
@@ -68,6 +69,11 @@ class PoetryConfig:
path = path.replace(':'+sys.base_prefix, ':'+sys.real_prefix, 1)
kwargs['env']['PATH'] = path
if self.session and self.session.config:
extra_args = self.session.config.get("agent.package_manager.poetry_install_extra_args", None)
if extra_args:
args = args + tuple(extra_args)
if check_if_command_exists("poetry"):
argv = Argv("poetry", *args)
else:
@@ -81,6 +87,32 @@ class PoetryConfig:
@_guard_enabled
def initialize(self, cwd=None):
if not self._initialized:
if self.session.config.get("agent.package_manager.poetry_version", None) is not None:
version = str(self.session.config.get("agent.package_manager.poetry_version"))
print('Upgrading Poetry package {}'.format(version))
# first upgrade pip if we need to
try:
from clearml_agent.helper.package.pip_api.venv import VirtualenvPip
pip = VirtualenvPip(
session=self.session, python=self._python,
requirements_manager=None, path=None, interpreter=self._python)
pip.upgrade_pip()
except Exception as ex:
self.log.warning("failed upgrading pip: {}".format(ex))
# now install poetry
try:
version = version.replace(' ', '')
if ('=' in version) or ('~' in version) or ('<' in version) or ('>' in version):
version = version
elif version:
version = "==" + version
argv = Argv(self._python, "-m", "pip", "install", "poetry{}".format(version),
"--upgrade", "--disable-pip-version-check")
print(argv.get_output())
except Exception as ex:
self.log.warning("failed upgrading poetry: {}".format(ex))
self._initialized = True
try:
self._config("--local", "virtualenvs.in-project", "true", cwd=cwd)

View File

@@ -1,3 +1,4 @@
import re
from typing import Text
from .base import PackageManager
@@ -11,13 +12,14 @@ class PriorityPackageRequirement(SimpleSubstitution):
def __init__(self, *args, **kwargs):
super(PriorityPackageRequirement, self).__init__(*args, **kwargs)
self._replaced_packages = {}
# check if we need to replace the packages:
priority_packages = self.config.get('agent.package_manager.priority_packages', None)
if priority_packages:
self.__class__.name = priority_packages
self.__class__.name = [p.lower() for p in priority_packages]
priority_optional_packages = self.config.get('agent.package_manager.priority_optional_packages', None)
if priority_optional_packages:
self.__class__.optional_package_names = priority_optional_packages
self.__class__.optional_package_names = [p.lower() for p in priority_optional_packages]
def match(self, req):
# match both Cython & cython
@@ -28,7 +30,9 @@ class PriorityPackageRequirement(SimpleSubstitution):
Replace a requirement
:raises: ValueError if version is pre-release
"""
if req.name in self.optional_package_names:
self._replaced_packages[req.name] = req.line
if req.name.lower() in self.optional_package_names:
# noinspection PyBroadException
try:
if PackageManager.out_of_scope_install_package(str(req)):
@@ -39,6 +43,41 @@ class PriorityPackageRequirement(SimpleSubstitution):
PackageManager.out_of_scope_install_package(str(req))
return Text(req)
def replace_back(self, list_of_requirements):
"""
:param list_of_requirements: {'pip': ['a==1.0', ]}
:return: {'pip': ['a==1.0', ]}
"""
# if we replaced setuptools, it means someone requested it, and since freeze will not contain it,
# we need to add it manually
if not self._replaced_packages or "setuptools" not in self._replaced_packages:
return list_of_requirements
try:
for k, lines in list_of_requirements.items():
# k is either pip/conda
if k not in ('pip', 'conda'):
continue
for i, line in enumerate(lines):
if not line or line.lstrip().startswith('#'):
continue
parts = [p for p in re.split(r'\s|=|\.|<|>|~|!|@|#', line) if p]
if not parts:
continue
# if we found setuptools, do nothing
if parts[0] == "setuptools":
return list_of_requirements
# if we are here it means we have not found setuptools
# we should add it:
if "pip" in list_of_requirements:
list_of_requirements["pip"] = [self._replaced_packages["setuptools"]] + list_of_requirements["pip"]
except Exception as ex: # noqa
return list_of_requirements
return list_of_requirements
class PackageCollectorRequirement(SimpleSubstitution):
"""

View File

@@ -2,17 +2,21 @@ from __future__ import unicode_literals
import re
import sys
import platform
from furl import furl
import urllib.parse
from operator import itemgetter
from html.parser import HTMLParser
from typing import Text
from typing import Text, Optional, Dict
import attr
import requests
import six
from .requirements import SimpleSubstitution, FatalSpecsResolutionError, SimpleVersion
from .requirements import (
SimpleSubstitution, FatalSpecsResolutionError, SimpleVersion, MarkerRequirement,
compare_version_rules, )
from ...external.requirements_parser.requirement import Requirement
OS_TO_WHEEL_NAME = {"linux": "linux_x86_64", "windows": "win_amd64"}
@@ -51,17 +55,16 @@ class PytorchWheel(object):
python = attr.ib(type=str, converter=lambda x: str(x).replace(".", ""))
torch_version = attr.ib(type=str, converter=fix_version)
url_template = (
"http://download.pytorch.org/whl/"
"{0.cuda_version}/torch-{0.torch_version}-cp{0.python}-cp{0.python}m{0.unicode}-{0.os_name}.whl"
)
url_template_prefix = "http://download.pytorch.org/whl/"
url_template = "{0.cuda_version}/torch-{0.torch_version}" \
"-cp{0.python}-cp{0.python}m{0.unicode}-{0.os_name}.whl"
def __attrs_post_init__(self):
self.unicode = "u" if self.python.startswith("2") else ""
def make_url(self):
# type: () -> Text
return self.url_template.format(self)
return (self.url_template_prefix + self.url_template).format(self)
class PytorchResolutionError(FatalSpecsResolutionError):
@@ -168,41 +171,72 @@ class PytorchRequirement(SimpleSubstitution):
name = "torch"
packages = ("torch", "torchvision", "torchaudio", "torchcsprng", "torchtext")
extra_index_url_template = 'https://download.pytorch.org/whl/cu{}/'
nightly_extra_index_url_template = 'https://download.pytorch.org/whl/nightly/cu{}/'
torch_index_url_lookup = {}
def __init__(self, *args, **kwargs):
os_name = kwargs.pop("os_override", None)
super(PytorchRequirement, self).__init__(*args, **kwargs)
self.log = self._session.get_logger(__name__)
self.package_manager = self.config["agent.package_manager.type"].lower()
self.os = os_name or self.get_platform()
self.cuda = "cuda{}".format(self.cuda_version).lower()
self.python_version_string = str(self.config["agent.default_python"])
self.python_major_minor_str = '.'.join(self.python_version_string.split('.')[:2])
if '.' not in self.python_major_minor_str:
raise PytorchResolutionError(
"invalid python version {!r} defined in configuration file, key 'agent.default_python': "
"must have both major and minor parts of the version (for example: '3.7')".format(
self.python_version_string
)
)
self.python = "python{}".format(self.python_major_minor_str)
self.exceptions = [
PytorchResolutionError(message)
for message in (
None,
'cuda version "{}" is not supported'.format(self.cuda),
'python version "{}" is not supported'.format(
self.python_version_string
),
)
]
try:
self.validate_python_version()
except PytorchResolutionError as e:
self.log.warn("will not be able to install pytorch wheels: %s", e.args[0])
self.cuda = None
self.python_version_string = None
self.python_major_minor_str = None
self.python = None
self._fix_setuptools = None
self.exceptions = []
self._original_req = []
# allow override pytorch lookup pages
if self.config.get("agent.package_manager.extra_index_url_template", None):
self.extra_index_url_template = \
self.config.get("agent.package_manager.extra_index_url_template", None)
if self.config.get("agent.package_manager.nightly_extra_index_url_template", None):
self.nightly_extra_index_url_template = \
self.config.get("agent.package_manager.nightly_extra_index_url_template", None)
# allow override pytorch lookup pages
if self.config.get("agent.package_manager.torch_page", None):
SimplePytorchRequirement.page_lookup_template = \
self.config.get("agent.package_manager.torch_page", None)
if self.config.get("agent.package_manager.torch_nightly_page", None):
SimplePytorchRequirement.nightly_page_lookup_template = \
self.config.get("agent.package_manager.torch_nightly_page", None)
if self.config.get("agent.package_manager.torch_url_template_prefix", None):
PytorchWheel.url_template_prefix = \
self.config.get("agent.package_manager.torch_url_template_prefix", None)
if self.config.get("agent.package_manager.torch_url_template", None):
PytorchWheel.url_template = \
self.config.get("agent.package_manager.torch_url_template", None)
def _init_python_ver_cuda_ver(self):
if self.cuda is None:
self.cuda = "cuda{}".format(self.cuda_version).lower()
if self.python_version_string is None:
self.python_version_string = str(self.config["agent.default_python"])
if self.python_major_minor_str is None:
self.python_major_minor_str = '.'.join(self.python_version_string.split('.')[:2])
if '.' not in self.python_major_minor_str:
raise PytorchResolutionError(
"invalid python version {!r} defined in configuration file, key 'agent.default_python': "
"must have both major and minor parts of the version (for example: '3.7')".format(
self.python_version_string
)
)
if self.python is None:
self.python = "python{}".format(self.python_major_minor_str)
if not self.exceptions:
self.exceptions = [
PytorchResolutionError(message)
for message in (
None,
'cuda version "{}" is not supported'.format(self.cuda),
'python version "{}" is not supported'.format(
self.python_version_string
),
)
]
@property
def is_conda(self):
@@ -216,6 +250,8 @@ class PytorchRequirement(SimpleSubstitution):
"""
Make sure python version has both major and minor versions as required for choosing pytorch wheel
"""
self._init_python_ver_cuda_ver()
if self.is_pip and not self.python_major_minor_str:
raise PytorchResolutionError(
"invalid python version {!r} defined in configuration file, key 'agent.default_python': "
@@ -237,10 +273,15 @@ class PytorchRequirement(SimpleSubstitution):
return "macos"
raise RuntimeError("unrecognized OS")
@staticmethod
def get_arch():
return str(platform.machine()).lower()
def _get_link_from_torch_page(self, req, torch_url):
links_parser = LinksHTMLParser()
links_parser.feed(requests.get(torch_url, timeout=10).text)
platform_wheel = "win" if self.get_platform() == "windows" else self.get_platform()
arch_wheel = self.get_arch()
py_ver = self.python_major_minor_str.replace('.', '')
url = None
last_v = None
@@ -261,7 +302,13 @@ class PytorchRequirement(SimpleSubstitution):
continue
if len(parts) < 3 or not parts[2].endswith(py_ver):
continue
if len(parts) < 5 or platform_wheel not in parts[4]:
if len(parts) < 5 or platform_wheel not in parts[4].lower():
continue
if len(parts) < 5 or arch_wheel not in parts[4].lower():
continue
# yes this is for linux python 2.7 support, this is the only python 2.7 we support...
if py_ver and py_ver[0] == '2' and len(parts) > 3 and not parts[3].endswith('u'):
continue
# update the closest matched version (from above)
if not closest_v:
@@ -291,18 +338,21 @@ class PytorchRequirement(SimpleSubstitution):
def get_url_for_platform(self, req):
# check if package is already installed with system packages
self.validate_python_version()
# noinspection PyBroadException
try:
if self.config.get("agent.package_manager.system_site_packages", None):
from pip._internal.commands.show import search_packages_info
installed_torch = list(search_packages_info([req.name]))
# notice the comparison order, the first part will make sure we have a valid installed package
if installed_torch and installed_torch[0]['version'] and \
req.compare_version(installed_torch[0]['version']):
installed_torch_version = (getattr(installed_torch[0], 'version', None) or installed_torch[0]['version']) \
if installed_torch else None
if installed_torch and installed_torch_version and \
req.compare_version(installed_torch_version):
print('PyTorch: requested "{}" version {}, using pre-installed version {}'.format(
req.name, req.specs[0] if req.specs else 'unspecified', installed_torch[0]['version']))
req.name, req.specs[0] if req.specs else 'unspecified', installed_torch_version))
# package already installed, do nothing
req.specs = [('==', str(installed_torch[0]['version']))]
req.specs = [('==', str(installed_torch_version))]
return '{} {} {}'.format(req.name, req.specs[0][0], req.specs[0][1]), True
except Exception:
pass
@@ -343,6 +393,11 @@ class PytorchRequirement(SimpleSubstitution):
else:
print('Trying PyTorch CUDA version {} support'.format(torch_url_key))
# fix broken pytorch setuptools incompatibility
if req.name == "torch" and closest_matched_version and \
SimpleVersion.compare_versions(closest_matched_version, "<", "1.11.0"):
self._fix_setuptools = "setuptools < 59"
if not url:
url = PytorchWheel(
torch_version=fix_version(version),
@@ -420,6 +475,44 @@ class PytorchRequirement(SimpleSubstitution):
return self.match_version(req, base).replace(" ", "\n")
def replace(self, req):
# check if package is already installed with system packages
self.validate_python_version()
# try to check if we can just use the new index URL, if we do not we will revert to old method
try:
extra_index_url = self.get_torch_index_url(self.cuda_version)
if extra_index_url:
# check if the torch version cannot be above 1.11 , we need to fix setup tools
try:
if req.name == "torch" and not compare_version_rules(req.specs, [(">=", "1.11.0")]):
self._fix_setuptools = "setuptools < 59"
except Exception: # noqa
pass
# now we just need to add the correct extra index url for the cuda version
self.set_add_install_extra_index(extra_index_url[0])
if req.specs and len(req.specs) == 1 and req.specs[0][0] == "==":
# remove any +cu extension and let pip resolve that
# and add .* if we have 3 parts version to deal with nvidia container 'a' version
# i.e. "1.13.0" -> "1.13.0.*" so it should match preinstalled "1.13.0a0+936e930"
spec_3_parts = req.format_specs(num_parts=3)
spec_max3_parts = req.format_specs(max_num_parts=3)
if spec_3_parts == spec_max3_parts and not spec_max3_parts.endswith("*"):
line = "{} {}.*".format(req.name, spec_max3_parts)
else:
line = "{} {}".format(req.name, spec_max3_parts)
if req.marker:
line += " ; {}".format(req.marker)
else:
# return the original line
line = req.line
return line
except Exception: # noqa
pass
try:
new_req = self._replace(req)
if new_req:
@@ -483,7 +576,7 @@ class PytorchRequirement(SimpleSubstitution):
for i, line in enumerate(lines):
if not line or line.lstrip().startswith('#'):
continue
parts = [p for p in re.split('\s|=|\.|<|>|~|!|@|#', line) if p]
parts = [p for p in re.split(r'\s|=|\.|<|>|~|!|@|#', line) if p]
if not parts:
continue
for req, new_req in self._original_req:
@@ -505,6 +598,61 @@ class PytorchRequirement(SimpleSubstitution):
return list_of_requirements
def post_scan_add_req(self): # type: () -> Optional[MarkerRequirement]
"""
Allows the RequirementSubstitution to add an extra line/requirements after
the initial requirements scan is completed.
Called only once per requirements.txt object
"""
if self._fix_setuptools:
return MarkerRequirement(Requirement.parse(self._fix_setuptools))
return None
@classmethod
def get_torch_index_url(cls, cuda_version, nightly=False):
# noinspection PyBroadException
try:
cuda = int(cuda_version)
except Exception:
cuda = 0
if nightly:
for c in range(cuda, max(-1, cuda-15), -1):
# then try the nightly builds, it might be there...
torch_url = cls.nightly_extra_index_url_template.format(c)
# noinspection PyBroadException
try:
if requests.get(torch_url, timeout=10).ok:
print('Torch nightly CUDA {} index page found'.format(c))
cls.torch_index_url_lookup[c] = torch_url
return cls.torch_index_url_lookup[c], c
except Exception:
pass
return
# first check if key is valid
if cuda in cls.torch_index_url_lookup:
return cls.torch_index_url_lookup[cuda], cuda
# then try a new cuda version page
for c in range(cuda, max(-1, cuda-15), -1):
torch_url = cls.extra_index_url_template.format(c)
# noinspection PyBroadException
try:
if requests.get(torch_url, timeout=10).ok:
print('Torch CUDA {} index page found'.format(c))
cls.torch_index_url_lookup[c] = torch_url
return cls.torch_index_url_lookup[c], c
except Exception:
pass
keys = sorted(cls.torch_index_url_lookup.keys(), reverse=True)
for k in keys:
if k <= cuda:
return cls.torch_index_url_lookup[k], k
# return default - zero
return cls.torch_index_url_lookup[0], 0
MAP = {
"windows": {
"cuda100": {

View File

@@ -11,11 +11,15 @@ from os import path
from typing import Text, List, Type, Optional, Tuple, Dict
from pathlib2 import Path
from pyhocon import ConfigTree
from clearml_agent.external.pyhocon import ConfigTree
import six
from six.moves.urllib.parse import unquote
import logging
from clearml_agent.definitions import PIP_EXTRA_INDICES
from clearml_agent.helper.base import warning, is_conda, which, join_lines, is_windows_platform
from clearml_agent.helper.base import (
warning, is_conda, which, join_lines, is_windows_platform,
convert_cuda_version_to_int_10_base_str, )
from clearml_agent.helper.process import Argv, PathLike
from clearml_agent.helper.gpu.gpustat import get_driver_cuda_version
from clearml_agent.session import Session, normalize_cuda_version
@@ -96,7 +100,8 @@ class MarkerRequirement(object):
return ','.join(starmap(operator.add, self.specs))
op, version = self.specs[0]
for v in self._sub_versions_pep440:
# noinspection PyProtectedMember
for v in SimpleVersion._sub_versions_pep440:
version = version.replace(v, '.')
if num_parts:
version = (version.strip('.').split('.') + ['0'] * num_parts)[:max_num_parts]
@@ -153,6 +158,33 @@ class MarkerRequirement(object):
return SimpleVersion.compare_versions(
version_a=requested_version, op=op, version_b=version, num_parts=num_parts)
def remove_local_file_ref(self):
if not self.local_file or self.vcs or self.editable or self.path:
return False
parts = re.split(r"@\s*{}".format(self.req.uri), self.req.line)
# if we did not find anything do nothing
if len(parts) < 2:
return False
self.req.line = ''.join(parts).strip()
self.req.uri = None
self.req.local_file = False
return True
def validate_local_file_ref(self):
# if local file does not exist, remove the reference to it
if self.vcs or self.editable or self.path or not self.local_file or not self.name or \
not self.uri or not self.uri.startswith("file://"):
return
local_path = Path(self.uri[len("file://"):])
if not local_path.exists():
local_path = Path(unquote(self.uri)[len("file://"):])
if not local_path.exists():
line = self.line
if self.remove_local_file_ref():
# print warning
logging.getLogger(__name__).warning(
'Local file not found [{}], references removed'.format(line))
class SimpleVersion:
_sub_versions_pep440 = ['a', 'b', 'rc', '.post', '.dev', '+', ]
@@ -208,7 +240,11 @@ class SimpleVersion:
if not version_b:
return True
if not num_parts:
num_parts = max(len(version_a.split('.')), len(version_b.split('.')), )
if op == '~=':
num_parts = len(version_b.split('.')) - 1
num_parts = max(num_parts, 2)
op = '=='
ignore_sub_versions = True
@@ -243,8 +279,20 @@ class SimpleVersion:
return version_a_key > version_b_key
if op == '<':
return version_a_key < version_b_key
if op == '!=':
return version_a_key != version_b_key
raise ValueError('Unrecognized comparison operator [{}]'.format(op))
@classmethod
def max_version(cls, version_a, version_b):
return version_a if cls.compare_versions(
version_a=version_a, op='>=', version_b=version_b, num_parts=None) else version_b
@classmethod
def min_version(cls, version_a, version_b):
return version_a if cls.compare_versions(
version_a=version_a, op='<=', version_b=version_b, num_parts=None) else version_b
@staticmethod
def _parse_letter_version(
letter, # type: str
@@ -313,17 +361,94 @@ class SimpleVersion:
return ()
def compare_version_rules(specs_a, specs_b):
# specs_a/b are a list of tuples: [('==', '1.2.3'), ] or [('>=', '1.2'), ('<', '1.3')]
# section definition:
class Section(object):
def __init__(self, left="-999999999", left_eq=False, right="999999999", right_eq=False):
self.left, self.left_eq, self.right, self.right_eq = left, left_eq, right, right_eq
# first create a list of in/out sections for each spec
# >, >= are left rule
# <, <= are right rule
# ~= x.y.z is converted to: >= x.y and < x.y+1
# ==/=== are converted to: >= and <=
# != x.y.z will split a section into: left < x.y.z and right > x.y.z
def create_section(specs):
section = Section()
for op, v in specs:
a = section
if op == '>':
a.left = v
a.left_eq = False
elif op == '>=':
a.left = v
a.left_eq = True
elif op == '<':
a.right = v
a.right_eq = False
elif op == '<=':
a.right = v
a.right_eq = True
elif op == '==':
a.left = v
a.left_eq = True
a.right = v
a.right_eq = True
elif op == '~=':
new_v = v.split('.')
a_left = '.'.join(new_v[:-1])
a.left = a_left if not a.left else SimpleVersion.max_version(a_left, a.left)
a.left_eq = True
a_right = '.'.join(new_v[:-2] + [str(int(new_v[-2])+1)])
a.right = a_right if not a.right else SimpleVersion.min_version(a_right, a.right)
a.right_eq = False if a.right == a_right else a.right_eq
return section
section_a = create_section(specs_a)
section_b = create_section(specs_b)
i = Section()
# then we have a list of sections for spec A/B
if section_a.left == section_b.left:
i.left = section_a.left
i.left_eq = section_a.left_eq and section_b.left_eq
else:
i.left = SimpleVersion.max_version(section_a.left, section_b.left)
i.left_eq = section_a.left_eq if i.left == section_a.left else section_b.left_eq
if section_a.right == section_b.right:
i.right = section_a.right
i.right_eq = section_a.right_eq and section_b.right_eq
else:
i.right = SimpleVersion.min_version(section_a.right, section_b.right)
i.right_eq = section_a.right_eq if i.right == section_a.right else section_b.right_eq
# return true if any section from A intersects a section from B
valid = True
valid &= SimpleVersion.compare_versions(
version_a=i.left, op='<=' if i.left_eq else '<', version_b=i.right, num_parts=None)
valid &= SimpleVersion.compare_versions(
version_a=i.right, op='>=' if i.left_eq else '>', version_b=i.left, num_parts=None)
return valid
@six.add_metaclass(ABCMeta)
class RequirementSubstitution(object):
_pip_extra_index_url = PIP_EXTRA_INDICES
@classmethod
def set_add_install_extra_index(cls, extra_index_url):
if extra_index_url not in cls._pip_extra_index_url:
cls._pip_extra_index_url.append(extra_index_url)
def __init__(self, session):
# type: (Session) -> ()
self._session = session
self.config = session.config # type: ConfigTree
self.suffix = '.post{config[agent.cuda_version]}.dev{config[agent.cudnn_version]}'.format(config=self.config)
self.package_manager = self.config['agent.package_manager.type']
self._is_already_installed_cb = None
@abstractmethod
def match(self, req): # type: (MarkerRequirement) -> bool
@@ -339,6 +464,20 @@ class RequirementSubstitution(object):
"""
pass
def set_is_already_installed_cb(self, cb):
self._is_already_installed_cb = cb
def is_already_installed(self, req):
if not self._is_already_installed_cb:
return False
# noinspection PyBroadException
try:
return self._is_already_installed_cb(req)
except BaseException as ex:
# debug could not resolve something
print("Warning: Requirements post install callback exception (check if package installed): {}".format(ex))
return False
def post_scan_add_req(self): # type: () -> Optional[MarkerRequirement]
"""
Allows the RequirementSubstitution to add an extra line/requirements after
@@ -363,7 +502,7 @@ class RequirementSubstitution(object):
@property
def cuda_version(self):
return self.config['agent.cuda_version']
return convert_cuda_version_to_int_10_base_str(self.config['agent.cuda_version'])
@property
def cudnn_version(self):
@@ -449,6 +588,7 @@ class RequirementsManager(object):
cache_dir=pip_cache_dir.as_posix())
self._base_interpreter = base_interpreter
self._cwd = None
self._installed_parsed_packages = set()
def register(self, cls): # type: (Type[RequirementSubstitution]) -> None
self.handlers.append(cls(self._session))
@@ -468,20 +608,9 @@ class RequirementsManager(object):
return None
def replace(self, requirements): # type: (Text) -> Text
def safe_parse(req_str):
# noinspection PyBroadException
try:
return list(parse(req_str, cwd=self._cwd))
except Exception as ex:
return [Requirement(req_str)]
parsed_requirements = self.parse_requirements_section_to_marker_requirements(
requirements=requirements, cwd=self._cwd)
parsed_requirements = tuple(
map(
MarkerRequirement,
[r for line in (requirements.splitlines() if isinstance(requirements, six.text_type) else requirements)
for r in safe_parse(line)]
)
)
if not parsed_requirements:
# return the original requirements just in case
return requirements
@@ -510,14 +639,29 @@ class RequirementsManager(object):
result = list(result)
# add post scan add requirements call back
double_req_set = None
for h in self.handlers:
req = h.post_scan_add_req()
if req:
result.append(req.tostr())
reqs = h.post_scan_add_req()
if reqs:
if double_req_set is None:
def safe_parse_name(line):
try:
return Requirement.parse(line).name
except: # noqa
return None
double_req_set = set([safe_parse_name(r) for r in result if r])
for r in (reqs if isinstance(reqs, (tuple, list)) else [reqs]):
if r and (not r.name or r.name not in double_req_set):
result.append(r.tostr())
elif r:
print("SKIPPING additional auto installed package: \"{}\"".format(r))
return join_lines(result)
def post_install(self, session):
def post_install(self, session, package_manager=None):
if package_manager:
self.update_installed_packages_state(package_manager.freeze())
for h in self.handlers:
try:
h.post_install(session)
@@ -539,6 +683,34 @@ class RequirementsManager(object):
def get_interpreter(self):
return self._base_interpreter
def update_installed_packages_state(self, requirements):
"""
Updates internal Installed Packages objects, so that later we can detect
if we already have a pre-installed package
:param requirements: is the output of a freeze() call, i.e. dict {'pip': "package==version"}
"""
requirements = requirements if not isinstance(requirements, dict) else requirements.get("pip")
self._installed_parsed_packages = self.parse_requirements_section_to_marker_requirements(
requirements=requirements, cwd=self._cwd)
for h in self.handlers:
h.set_is_already_installed_cb(self._callback_is_already_installed)
def _callback_is_already_installed(self, req):
for p in (self._installed_parsed_packages or []):
if p.name != req.name:
continue
# if this is version control package, only return true of both installed and requests specify commit ID
if req.vcs:
return p.vcs and req.revision and req.revision == p.revision
if not req.specs and not p.specs:
return True
# return if this is the same version
return req.specs and p.specs and req.compare_version(p, op="==")
return False
@staticmethod
def get_cuda_version(config): # type: (ConfigTree) -> (Text, Text)
# we assume os.environ already updated the config['agent.cuda_version'] & config['agent.cudnn_version']
@@ -614,3 +786,29 @@ class RequirementsManager(object):
return (normalize_cuda_version(cuda_version or 0),
normalize_cuda_version(cudnn_version or 0))
@staticmethod
def parse_requirements_section_to_marker_requirements(requirements, cwd=None):
def safe_parse(req_str):
# noinspection PyBroadException
try:
return list(parse(req_str, cwd=cwd))
except Exception as ex:
return [Requirement(req_str)]
def create_req(x):
r = MarkerRequirement(x)
r.validate_local_file_ref()
return r
if not requirements:
return tuple()
parsed_requirements = tuple(
map(
create_req,
[r for line in (requirements.splitlines() if isinstance(requirements, str) else requirements)
for r in safe_parse(line)]
)
)
return parsed_requirements

View File

@@ -1,3 +1,4 @@
from tempfile import mkdtemp
from typing import Text
from furl import furl
@@ -20,7 +21,16 @@ class RequirementsTranslator(object):
config = session.config
self.cache_dir = cache_dir or Path(config["agent.pip_download_cache.path"]).expanduser().as_posix()
self.enabled = config["agent.pip_download_cache.enabled"]
Path(self.cache_dir).mkdir(parents=True, exist_ok=True)
# noinspection PyBroadException
try:
Path(self.cache_dir).mkdir(parents=True, exist_ok=True)
except Exception:
temp_cache_folder = mkdtemp(prefix='pip_download_cache.')
print("Failed creating pip download cache folder at `{}` reverting to `{}`".format(
self.cache_dir, temp_cache_folder))
self.cache_dir = temp_cache_folder
Path(self.cache_dir).mkdir(parents=True, exist_ok=True)
self.config = Config()
self.pip = SystemPip(interpreter=interpreter, session=self._session)
self._translate_back = {}

View File

@@ -16,7 +16,6 @@ from typing import Union, Text, Sequence, Any, TypeVar, Callable
import psutil
from furl import furl
from future.builtins import super
from pathlib2 import Path
import six
@@ -26,7 +25,7 @@ from clearml_agent.helper.base import bash_c, is_windows_platform, select_for_pl
PathLike = Union[Text, Path]
def get_bash_output(cmd, strip=False, stderr=subprocess.STDOUT, stdin=False):
def get_bash_output(cmd, strip=False, stderr=subprocess.STDOUT, stdin=False, raise_error=False):
try:
output = (
subprocess.check_output(
@@ -38,10 +37,16 @@ def get_bash_output(cmd, strip=False, stderr=subprocess.STDOUT, stdin=False):
.strip()
)
except subprocess.CalledProcessError:
if raise_error:
raise
output = None
return output if not strip or not output else output.strip()
def stringify_bash_output(value):
return '' if not value else (value if isinstance(value, str) else value.decode('utf-8'))
def terminate_process(pid, timeout=10., ignore_zombie=True, include_children=False):
# noinspection PyBroadException
try:
@@ -112,10 +117,11 @@ def terminate_all_child_processes(pid=None, timeout=10., include_parent=True):
def get_docker_id(docker_cmd_contains):
# noinspection PyBroadException
try:
containers_running = get_bash_output(cmd='docker ps --no-trunc --format \"{{.ID}}: {{.Command}}\"')
for docker_line in containers_running.split('\n'):
parts = docker_line.split(':')
parts = docker_line.split(':', 1)
if docker_cmd_contains in parts[-1]:
# we found our docker, return it
return parts[0]

View File

@@ -1,7 +1,11 @@
import abc
import os
import re
import shutil
import stat
import subprocess
import sys
import tempfile
from distutils.spawn import find_executable
from hashlib import md5
from os import environ
@@ -23,7 +27,7 @@ from clearml_agent.helper.base import (
rm_tree,
ExecutionInfo,
normalize_path,
create_file_if_not_exists,
create_file_if_not_exists, safe_remove_file,
)
from clearml_agent.helper.os.locks import FileLock
from clearml_agent.helper.process import DEVNULL, Argv, PathLike, COMMAND_SUCCESS
@@ -108,7 +112,7 @@ class VCS(object):
)
self.url = url
self.location = Text(location)
self.revision = revision
self._revision = revision
self.log = self.session.get_logger(__name__)
@property
@@ -118,6 +122,13 @@ class VCS(object):
"""
return self.add_auth(self.session.config, self.url)
@property
def url_without_auth(self):
"""
Return URL without configured user/password
"""
return self.add_auth(self.session.config, self.url, reset_auth=True)
@abc.abstractmethod
def executable_name(self):
"""
@@ -309,6 +320,7 @@ class VCS(object):
self.url, new_url))
self.url = new_url
return
# rewrite ssh URLs only if either ssh port or ssh user are forced in config
if parsed_url.scheme == "ssh" and (
self.session.config.get('agent.force_git_ssh_port', None) or
@@ -323,6 +335,9 @@ class VCS(object):
print("Using SSH credentials - ssh url '{}' with ssh url '{}'".format(
self.url, new_url))
self.url = new_url
return
elif parsed_url.scheme == "ssh":
return
if not self.session.config.agent.translate_ssh:
return
@@ -332,7 +347,7 @@ class VCS(object):
(ENV_AGENT_GIT_PASS.get() or self.session.config.get('agent.git_pass', None)):
# only apply to a specific domain (if requested)
config_domain = \
ENV_AGENT_GIT_HOST.get() or self.session.config.get("git_host", None)
ENV_AGENT_GIT_HOST.get() or self.session.config.get("agent.git_host", None)
if config_domain and config_domain != furl(self.url).host:
return
@@ -349,7 +364,9 @@ class VCS(object):
If not in debug mode, filter VCS password from output.
"""
self._set_ssh_url()
clone_command = ("clone", self.url_with_auth, self.location) + self.clone_flags
# if we are on linux no need for the full auth url because we use GIT_ASKPASS
url = self.url_without_auth if self._use_ask_pass else self.url_with_auth
clone_command = ("clone", url, self.location) + self.clone_flags
# clone all branches regardless of when we want to later checkout
# if branch:
# clone_command += ("-b", branch)
@@ -357,40 +374,41 @@ class VCS(object):
self.call(*clone_command)
return
def normalize_output(result):
"""
Returns result string without user's password.
NOTE: ``self.get_stderr``'s result might or might not have the same type as ``e.output`` in case of error.
"""
string_type = (
ensure_text
if isinstance(result, six.text_type)
else ensure_binary
)
return result.replace(
string_type(self.url),
string_type(furl(self.url).remove(password=True).tostr()),
)
def print_output(output):
print(ensure_text(output))
try:
print_output(normalize_output(self.get_stderr(*clone_command)))
self._print_output(self._normalize_output(self.get_stderr(*clone_command)))
except subprocess.CalledProcessError as e:
# In Python 3, subprocess.CalledProcessError has a `stderr` attribute,
# but since stderr is redirect to `subprocess.PIPE` it will appear in the usual `output` attribute
if e.output:
e.output = normalize_output(e.output)
print_output(e.output)
e.output = self._normalize_output(e.output)
self._print_output(e.output)
raise
def _normalize_output(self, result):
"""
Returns result string without user's password.
NOTE: ``self.get_stderr``'s result might or might not have the same type as ``e.output`` in case of error.
"""
string_type = (
ensure_text
if isinstance(result, six.text_type)
else ensure_binary
)
return result.replace(
string_type(self.url),
string_type(furl(self.url).remove(password=True).tostr()),
)
@staticmethod
def _print_output(output):
print(ensure_text(output))
def checkout(self):
# type: () -> None
"""
Checkout repository at specified revision
"""
self.call("checkout", self.revision, *self.checkout_flags, cwd=self.location)
self.call("checkout", self._revision, *self.checkout_flags, cwd=self.location)
@abc.abstractmethod
def pull(self):
@@ -473,16 +491,18 @@ class VCS(object):
return Argv(self.executable_name, *argv)
@classmethod
def add_auth(cls, config, url):
def add_auth(cls, config, url, reset_auth=False):
"""
Add username and password to URL if missing from URL and present in config.
Does not modify ssh URLs.
:param reset_auth: If true remove the user/pass from the URL (default False)
"""
try:
parsed_url = furl(url)
except ValueError:
return url
if parsed_url.scheme in ["", "ssh"] or parsed_url.scheme.startswith("git"):
if parsed_url.scheme in ["", "ssh"] or (parsed_url.scheme or '').startswith("git"):
return parsed_url.url
config_user = ENV_AGENT_GIT_USER.get() or config.get("agent.{}_user".format(cls.executable_name), None)
config_pass = ENV_AGENT_GIT_PASS.get() or config.get("agent.{}_pass".format(cls.executable_name), None)
@@ -493,7 +513,10 @@ class VCS(object):
and config_pass
and (not config_domain or config_domain.lower() == parsed_url.host)
):
parsed_url.set(username=config_user, password=config_pass)
if reset_auth:
parsed_url.set(username=None, password=None)
else:
parsed_url.set(username=config_user, password=config_pass)
return parsed_url.url
@abc.abstractmethod
@@ -519,7 +542,7 @@ class VCS(object):
class Git(VCS):
executable_name = "git"
main_branch = "master"
main_branch = ("master", "main")
clone_flags = ("--quiet", "--recursive")
checkout_flags = ("--force",)
COMMAND_ENV = {
@@ -529,9 +552,22 @@ class Git(VCS):
"GIT_SSH_COMMAND": "ssh -oBatchMode=yes",
}
def __init__(self, *args, **kwargs):
super(Git, self).__init__(*args, **kwargs)
self._use_ask_pass = False if not self.session.config.get('agent.enable_git_ask_pass', None) \
else sys.platform == "linux"
try:
self.call("config", "--global", "--replace-all", "safe.directory", "*", cwd=self.location)
except: # noqa
pass
@staticmethod
def remote_branch_name(branch):
return "origin/{}".format(branch)
return [
"origin/{}".format(b) for b in ([branch] if isinstance(branch, str) else branch)
]
def executable_not_found_error_help(self):
return 'Cannot find "{}" executable. {}'.format(
@@ -549,11 +585,79 @@ class Git(VCS):
def pull(self):
self.call("fetch", "--all", "--recurse-submodules", cwd=self.location)
def _git_pass_auth_wrapper(self, func, *args, **kwargs):
try:
url_with_auth = furl(self.url_with_auth)
password = url_with_auth.password if url_with_auth else None
username = url_with_auth.username if url_with_auth else None
except: # noqa
password = None
username = None
# if this is not linux or we do not have a password, just run as is
if not self._use_ask_pass or not password or not username:
return func(*args, **kwargs)
# create the password file
fp, pass_file = tempfile.mkstemp(prefix='clearml_git_', suffix='.sh')
os.close(fp)
with open(pass_file, 'wt') as f:
# get first letter only (username / password are the argument options)
# then echo the correct information
f.writelines([
'#!/bin/bash\n',
'c="$1"\n',
'c="${c%"${c#?}"}"\n',
'if [ "$c" == "u" ] || [ "$c" == "U" ]; then echo "{}"; else echo "{}"; fi\n'.format(
username.replace('"', '\\"'), password.replace('"', '\\"')
)
])
# mark executable
st = os.stat(pass_file)
os.chmod(pass_file, st.st_mode | stat.S_IEXEC)
# let GIT use it
self.COMMAND_ENV["GIT_ASKPASS"] = pass_file
# call git command
try:
ret = func(*args, **kwargs)
finally:
# delete temp password file
self.COMMAND_ENV.pop("GIT_ASKPASS", None)
safe_remove_file(pass_file)
return ret
def get_stderr(self, *argv, **kwargs):
"""
Wrapper with git password authentication
"""
return self._git_pass_auth_wrapper(super(Git, self).get_stderr, *argv, **kwargs)
def call_with_stdin(self, *argv, **kwargs):
"""
Wrapper with git password authentication
"""
return self._git_pass_auth_wrapper(super(Git, self).call_with_stdin, *argv, **kwargs)
def call(self, *argv, **kwargs):
"""
Wrapper with git password authentication
"""
return self._git_pass_auth_wrapper(super(Git, self).call, *argv, **kwargs)
def checkout(self): # type: () -> None
"""
Checkout repository at specified revision
"""
self.call("checkout", self.revision, *self.checkout_flags, cwd=self.location)
revisions = [self._revision] if isinstance(self._revision, str) else self._revision
for i, revision in enumerate(revisions):
try:
self.call("checkout", revision, *self.checkout_flags, cwd=self.location)
break
except subprocess.CalledProcessError:
if i == len(revisions) - 1:
raise
try:
self.call("submodule", "update", "--recursive", cwd=self.location)
except: # noqa
@@ -593,7 +697,7 @@ class Hg(VCS):
"pull",
self.url_with_auth,
cwd=self.location,
*(("-r", self.revision) if self.revision else ())
*(("-r", self._revision) if self._revision else ())
)
info_commands = dict(
@@ -663,7 +767,9 @@ def clone_repository_cached(session, execution, destination):
vcs.pull()
rm_tree(destination)
shutil.copytree(Text(cached_repo_path), Text(clone_folder))
shutil.copytree(Text(cached_repo_path), Text(clone_folder),
symlinks=select_for_platform(linux=True, windows=False),
ignore_dangling_symlinks=True)
if not clone_folder.is_dir():
raise CommandFailedError(
"copying of repository failed: from {} to {}".format(
@@ -671,9 +777,9 @@ def clone_repository_cached(session, execution, destination):
)
)
# checkout in the newly copy destination
vcs.location = Text(clone_folder)
vcs.checkout()
# checkout in the newly copy destination
vcs.location = Text(clone_folder)
vcs.checkout()
repo_info = vcs.get_repository_copy_info(clone_folder)

View File

@@ -82,7 +82,7 @@ class ResourceMonitor(object):
if not worker_tags and ENV_WORKER_TAGS.get():
worker_tags = shlex.split(ENV_WORKER_TAGS.get())
self._worker_tags = worker_tags
if os.environ.get('NVIDIA_VISIBLE_DEVICES') == 'none':
if Session.get_nvidia_visible_env() == 'none':
# NVIDIA_VISIBLE_DEVICES set to none, marks cpu_only flag
# active_gpus == False means no GPU reporting
self._active_gpus = False
@@ -92,10 +92,10 @@ class ResourceMonitor(object):
# None means no filtering, report all gpus
self._active_gpus = None
try:
active_gpus = os.environ.get('NVIDIA_VISIBLE_DEVICES', '') or \
os.environ.get('CUDA_VISIBLE_DEVICES', '')
if active_gpus:
self._active_gpus = [int(g.strip()) for g in active_gpus.split(',')]
active_gpus = Session.get_nvidia_visible_env()
# None means no filtering, report all gpus
if active_gpus and active_gpus != "all":
self._active_gpus = [g.strip() for g in str(active_gpus).split(',')]
except Exception:
pass
@@ -139,42 +139,45 @@ class ResourceMonitor(object):
def _daemon(self):
seconds_since_started = 0
reported = 0
while True:
last_report = time()
current_report_frequency = (
self._report_frequency if reported != 0 else self._first_report_sec
)
while (time() - last_report) < current_report_frequency:
# wait for self._sample_frequency seconds, if event set quit
if self._exit_event.wait(1 / self._sample_frequency):
return
# noinspection PyBroadException
try:
self._update_readouts()
except Exception as ex:
log.warning("failed getting machine stats: %s", report_error(ex))
self._failure()
try:
while True:
last_report = time()
current_report_frequency = (
self._report_frequency if reported != 0 else self._first_report_sec
)
while (time() - last_report) < current_report_frequency:
# wait for self._sample_frequency seconds, if event set quit
if self._exit_event.wait(1 / self._sample_frequency):
return
# noinspection PyBroadException
try:
self._update_readouts()
except Exception as ex:
log.warning("failed getting machine stats: %s", report_error(ex))
self._failure()
seconds_since_started += int(round(time() - last_report))
# check if we do not report any metric (so it means the last iteration will not be changed)
seconds_since_started += int(round(time() - last_report))
# check if we do not report any metric (so it means the last iteration will not be changed)
# if we do not have last_iteration, we just use seconds as iteration
# if we do not have last_iteration, we just use seconds as iteration
# start reporting only when we figured out, if this is seconds based, or iterations based
average_readouts = self._get_average_readouts()
stats = {
# 3 points after the dot
key: round(value, 3) if isinstance(value, float) else [round(v, 3) for v in value]
for key, value in average_readouts.items()
}
# start reporting only when we figured out, if this is seconds based, or iterations based
average_readouts = self._get_average_readouts()
stats = {
# 3 points after the dot
key: round(value, 3) if isinstance(value, float) else [round(v, 3) for v in value]
for key, value in average_readouts.items()
}
# send actual report
if self.send_report(stats):
# clear readouts if this is update was sent
self._clear_readouts()
# send actual report
if self.send_report(stats):
# clear readouts if this is update was sent
self._clear_readouts()
# count reported iterations
reported += 1
# count reported iterations
reported += 1
except Exception as ex:
log.exception("Error reporting monitoring info: %s", str(ex))
def _update_readouts(self):
readouts = self._machine_stats()
@@ -263,7 +266,7 @@ class ResourceMonitor(object):
gpu_stat = self._gpustat.new_query()
for i, g in enumerate(gpu_stat.gpus):
# only monitor the active gpu's, if none were selected, monitor everything
if self._active_gpus and i not in self._active_gpus:
if self._active_gpus and str(i) not in self._active_gpus:
continue
stats["gpu_temperature_{:d}".format(i)] = g["temperature.gpu"]
stats["gpu_utilization_{:d}".format(i)] = g["utilization.gpu"]

View File

@@ -22,7 +22,7 @@ WORKER_ARGS = {
'help': 'git username for repository access',
},
'--git-pass': {
'help': 'git password for repository access',
'help': 'git password (personal access tokens) for repository access',
},
'--log-level': {
'help': 'SDK log level',
@@ -99,12 +99,14 @@ DAEMON_ARGS = dict({
'aliases': ['-d'],
},
'--stop': {
'help': 'Stop the running agent (based on the same set of arguments)',
'action': 'store_true',
'help': 'Stop the running agent (based on the same set of arguments). '
'Optional: provide a list of specific local worker IDs to stop',
'nargs': '*',
'default': False,
},
'--dynamic-gpus': {
'help': 'Allow to dynamically allocate gpus based on queue properties, '
'configure with \'--queues <queue_name>=<num_gpus>\'.'
'configure with \'--queue <queue_name>=<num_gpus>\'.'
' Example: \'--dynamic-gpus --gpus 0-3 --queue dual_gpus=2 single_gpu=1\''
' Example Opportunistic: \'--dynamic-gpus --gpus 0-3 --queue dual_gpus=2 max_quad_gpus=1-4 \'',
'action': 'store_true',
@@ -165,7 +167,7 @@ COMMANDS = {
},
'--docker': {
'help': 'Run execution task inside a docker (v19.03 and above). Optional args <image> <arguments> or '
'specify default docker image in agent.default_docker.image / agent.default_docker.arguments'
'specify default docker image in agent.default_docker.image / agent.default_docker.arguments '
'use --gpus/--cpu-only (or set NVIDIA_VISIBLE_DEVICES) to limit gpu visibility for docker',
'nargs': '*',
'default': False,
@@ -199,11 +201,18 @@ COMMANDS = {
},
'--docker': {
'help': 'Build the experiment inside a docker (v19.03 and above). Optional args <image> <arguments> or '
'specify default docker image in agent.default_docker.image / agent.default_docker.arguments'
'specify default docker image in agent.default_docker.image / agent.default_docker.arguments '
'use --gpus/--cpu-only (or set NVIDIA_VISIBLE_DEVICES) to limit gpu visibility for docker',
'nargs': '*',
'default': False,
},
'--force-docker': {
'help': 'Force using the agent-specified docker image (either explicitly in the --docker argument or '
'using the agent\'s default docker image). If provided, the agent will not use any docker '
'container information stored on the task itself (default False)',
'default': False,
'action': 'store_true',
},
'--python-version': {
'help': 'Virtual environment python version to use',
},

View File

@@ -10,8 +10,8 @@ from typing import Any, Callable
import attr
from pathlib2 import Path
from pyhocon import ConfigFactory, HOCONConverter, ConfigTree
from clearml_agent.external.pyhocon import ConfigFactory, HOCONConverter, ConfigTree
from clearml_agent.backend_api.session import Session as _Session, Request
from clearml_agent.backend_api.session.client import APIClient
from clearml_agent.backend_config.defs import LOCAL_CONFIG_FILE_OVERRIDE_VAR, LOCAL_CONFIG_FILES
@@ -19,6 +19,7 @@ from clearml_agent.definitions import ENVIRONMENT_CONFIG, ENV_TASK_EXECUTE_AS_US
from clearml_agent.errors import APIError
from clearml_agent.helper.base import HOCONEncoder
from clearml_agent.helper.process import Argv
from clearml_agent.helper.docker_args import DockerArgsSanitizer
from .version import __version__
POETRY = "poetry"
@@ -76,7 +77,7 @@ class Session(_Session):
cpu_only = kwargs.get('cpu_only')
if cpu_only:
os.environ['CUDA_VISIBLE_DEVICES'] = os.environ['NVIDIA_VISIBLE_DEVICES'] = 'none'
Session.set_nvidia_visible_env('none')
if kwargs.get('gpus') and not os.environ.get('KUBERNETES_SERVICE_HOST') \
and not os.environ.get('KUBERNETES_PORT'):
@@ -85,7 +86,7 @@ class Session(_Session):
os.environ.pop('CUDA_VISIBLE_DEVICES', None)
os.environ['NVIDIA_VISIBLE_DEVICES'] = kwargs.get('gpus')
else:
os.environ['CUDA_VISIBLE_DEVICES'] = os.environ['NVIDIA_VISIBLE_DEVICES'] = kwargs.get('gpus')
Session.set_nvidia_visible_env(kwargs.get('gpus'))
if kwargs.get('only_load_config'):
from clearml_agent.backend_api.config import load
@@ -105,7 +106,7 @@ class Session(_Session):
if os.path.exists(os.path.expanduser(os.path.expandvars(f))):
self._config_file = f
break
self.api_client = APIClient(session=self, api_version="2.5")
self._api_client = None
# HACK make sure we have python version to execute,
# if nothing was specific, use the one that runs us
def_python = ConfigValue(self.config, "agent.default_python")
@@ -132,7 +133,7 @@ class Session(_Session):
# override with environment variables
# cuda_version & cudnn_version are overridden with os.environ here, and normalized in the next section
for config_key, env_config in ENVIRONMENT_CONFIG.items():
# check if the propery is of a list:
# check if the property is of a list:
if config_key.endswith('.0'):
if all(not i.get() for i in env_config.values()):
continue
@@ -166,6 +167,16 @@ class Session(_Session):
if not kwargs.get('only_load_config'):
self.create_cache_folders()
@property
def api_client(self):
if self._api_client is None:
self._api_client = APIClient(session=self, api_version="2.5")
return self._api_client
@api_client.setter
def api_client(self, value):
self._api_client = value
@staticmethod
def get_logger(name):
logger = logging.getLogger(name)
@@ -229,26 +240,38 @@ class Session(_Session):
except:
pass
def print_configuration(self, remove_secret_keys=("secret", "pass", "token", "account_key")):
def print_configuration(
self,
remove_secret_keys=("secret", "pass", "token", "account_key", "contents"),
skip_value_keys=("environment", ),
docker_args_sanitize_keys=("extra_docker_arguments", ),
):
# remove all the secrets from the print
def recursive_remove_secrets(dictionary, secret_keys=()):
def recursive_remove_secrets(dictionary, secret_keys=(), empty_keys=()):
for k in list(dictionary):
for s in secret_keys:
if s in k:
dictionary.pop(k)
break
for s in empty_keys:
if s == k:
dictionary[k] = {key: '****' for key in dictionary[k]} \
if isinstance(dictionary[k], dict) else '****'
break
if isinstance(dictionary.get(k, None), dict):
recursive_remove_secrets(dictionary[k], secret_keys=secret_keys)
recursive_remove_secrets(dictionary[k], secret_keys=secret_keys, empty_keys=empty_keys)
elif isinstance(dictionary.get(k, None), (list, tuple)):
if k in (docker_args_sanitize_keys or []):
dictionary[k] = DockerArgsSanitizer.sanitize_docker_command(self, dictionary[k])
for item in dictionary[k]:
if isinstance(item, dict):
recursive_remove_secrets(item, secret_keys=secret_keys)
recursive_remove_secrets(item, secret_keys=secret_keys, empty_keys=empty_keys)
config = deepcopy(self.config.to_dict())
# remove the env variable, it's not important
config.pop('env', None)
if remove_secret_keys:
recursive_remove_secrets(config, secret_keys=remove_secret_keys)
if remove_secret_keys or skip_value_keys or docker_args_sanitize_keys:
recursive_remove_secrets(config, secret_keys=remove_secret_keys, empty_keys=skip_value_keys)
# remove logging.loggers.urllib3.level from the print
try:
config['logging']['loggers']['urllib3'].pop('level', None)
@@ -279,7 +302,7 @@ class Session(_Session):
def get(self, service, action, version=None, headers=None,
data=None, json=None, async_enable=False, **kwargs):
return self._manual_request(service=service, action=action,
version=version, method="get", headers=headers,
version=version, method=Request.def_method, headers=headers,
data=data, async_enable=async_enable,
json=json or kwargs)
@@ -290,7 +313,7 @@ class Session(_Session):
data=data, async_enable=async_enable,
json=json or kwargs)
def _manual_request(self, service, action, version=None, method="get", headers=None,
def _manual_request(self, service, action, version=None, method=Request.def_method, headers=None,
data=None, json=None, async_enable=False, **kwargs):
res = self.send_request(service=service, action=action,
@@ -318,6 +341,23 @@ class Session(_Session):
def command(self, *args):
return Argv(*args, log=self.get_logger(Argv.__module__))
@staticmethod
def set_nvidia_visible_env(gpus):
if not gpus:
gpus = ""
visible_env = gpus.replace(".", ":") if isinstance(gpus, str) else \
','.join(str(g).replace(".", ":") for g in gpus)
os.environ['CUDA_VISIBLE_DEVICES'] = os.environ['NVIDIA_VISIBLE_DEVICES'] = visible_env
@staticmethod
def get_nvidia_visible_env():
visible_env = os.environ.get('NVIDIA_VISIBLE_DEVICES') or os.environ.get('CUDA_VISIBLE_DEVICES')
if visible_env is None:
return None
visible_env = str(visible_env).replace(":", ".")
return visible_env
@attr.s
class TrainsAgentLogger(object):

View File

@@ -1 +1 @@
__version__ = '1.1.0'
__version__ = '1.5.2'

View File

@@ -57,8 +57,8 @@ agent {
# supported options: pip, conda, poetry
type: pip,
# specify pip version to use (examples "<20", "==19.3.1", "", empty string will install the latest version)
pip_version: "<20.2",
# specify pip version to use (examples "<20.2", "==19.3.1", "", empty string will install the latest version)
pip_version: "<21",
# virtual environment inheres packages from system
system_site_packages: false,
@@ -171,7 +171,7 @@ agent {
default_docker: {
# default docker image to use when running in docker mode
image: "nvidia/cuda:10.1-cudnn7-runtime-ubuntu18.04"
image: "nvidia/cuda:10.2-cudnn7-runtime-ubuntu18.04"
# optional arguments to pass to docker image
# arguments: ["--ipc=host", ]

View File

@@ -0,0 +1,75 @@
ARG TAG=3.7.12-alpine3.15
FROM python:${TAG} as build
RUN apk add --no-cache \
gcc \
musl-dev \
libffi-dev
RUN python3 \
-m pip \
install \
--prefix=/install \
--no-cache-dir \
-U \
clearml-agent \
cryptography>=2.9
FROM python:${TAG} as target
WORKDIR /app
ARG KUBECTL_VERSION=1.22.4
# Not sure about these ENV vars
# ENV LC_ALL=en_US.UTF-8
# ENV LANG=en_US.UTF-8
# ENV LANGUAGE=en_US.UTF-8
# ENV PYTHONIOENCODING=UTF-8
COPY --from=build /install /usr/local
ADD https://storage.googleapis.com/kubernetes-release/release/v${KUBECTL_VERSION}/bin/linux/amd64/kubectl /usr/bin/
RUN chmod +x /usr/bin/kubectl
RUN apk add --no-cache \
bash
COPY k8s_glue_example.py .
# AWS CLI
# https://github.com/kyleknap/aws-cli/blob/source-proposal/proposals/source-install.md#alpine-linux
# https://github.com/aws/aws-cli/issues/4685
# https://github.com/aws/aws-cli/pull/6352
# https://github.com/GoogleCloudPlatform/cloud-sdk-docker/blob/master/alpine/Dockerfile
FROM target as gcp
ARG CLOUD_SDK_VERSION=371.0.0
ENV CLOUD_SDK_VERSION=$CLOUD_SDK_VERSION
ENV PATH /google-cloud-sdk/bin:$PATH
WORKDIR /
RUN apk --no-cache add \
curl \
python3 \
py3-crcmod \
py3-openssl \
bash \
libc6-compat \
openssh-client \
git \
gnupg \
&& curl -O https://dl.google.com/dl/cloudsdk/channels/rapid/downloads/google-cloud-sdk-${CLOUD_SDK_VERSION}-linux-x86_64.tar.gz && \
tar xzf google-cloud-sdk-${CLOUD_SDK_VERSION}-linux-x86_64.tar.gz && \
rm google-cloud-sdk-${CLOUD_SDK_VERSION}-linux-x86_64.tar.gz && \
gcloud config set core/disable_usage_reporting true && \
gcloud config set component_manager/disable_update_check true && \
gcloud config set metrics/environment github_docker_image && \
gcloud --version
WORKDIR /app

View File

@@ -0,0 +1,82 @@
ARG TAG=3.7.12-slim-bullseye
FROM python:${TAG} as target
ARG KUBECTL_VERSION=1.22.4
WORKDIR /app
RUN python3 \
-m pip \
install \
--no-cache-dir \
-U \
clearml-agent \
cryptography>=2.9
# Not sure about these ENV vars
# ENV LC_ALL=en_US.UTF-8
# ENV LANG=en_US.UTF-8
# ENV LANGUAGE=en_US.UTF-8
# ENV PYTHONIOENCODING=UTF-8
ADD https://storage.googleapis.com/kubernetes-release/release/v${KUBECTL_VERSION}/bin/linux/amd64/kubectl /usr/bin/
RUN chmod +x /usr/bin/kubectl
COPY k8s_glue_example.py .
CMD ["python3", "k8s_glue_example.py"]
FROM target as aws
# https://docs.aws.amazon.com/cli/latest/userguide/getting-started-install.html
# https://docs.aws.amazon.com/eks/latest/userguide/install-aws-iam-authenticator.html
RUN apt-get update -qqy && \
apt-get install -qqy \
unzip && \
rm -rf /var/lib/apt/lists/*
ADD https://awscli.amazonaws.com/awscli-exe-linux-x86_64.zip awscliv2.zip
ADD https://amazon-eks.s3.us-west-2.amazonaws.com/1.21.2/2021-07-05/bin/linux/amd64/aws-iam-authenticator /usr/local/bin/aws-iam-authenticator
RUN unzip awscliv2.zip && \
./aws/install && \
rm -r awscliv2.zip aws/ && \
chmod +x /usr/local/bin/aws-iam-authenticator && \
aws --version && \
aws-iam-authenticator version
# https://github.com/GoogleCloudPlatform/cloud-sdk-docker/blob/master/debian_slim/Dockerfile
FROM target as gcp
ARG CLOUD_SDK_VERSION=371.0.0
ENV CLOUD_SDK_VERSION=$CLOUD_SDK_VERSION
ENV PATH "$PATH:/opt/google-cloud-sdk/bin/"
ARG INSTALL_COMPONENTS
RUN mkdir -p /usr/share/man/man1/
RUN apt-get update -qqy && \
apt-get install -qqy \
curl \
gcc \
python3-dev \
python3-pip \
apt-transport-https \
lsb-release \
openssh-client \
git \
gnupg && \
rm -rf /var/lib/apt/lists/* && \
pip3 install -U crcmod && \
export CLOUD_SDK_REPO="cloud-sdk-$(lsb_release -c -s)" && \
echo "deb https://packages.cloud.google.com/apt $CLOUD_SDK_REPO main" > /etc/apt/sources.list.d/google-cloud-sdk.list && \
curl https://packages.cloud.google.com/apt/doc/apt-key.gpg | apt-key add - && \
apt-get update && apt-get install -y google-cloud-sdk=${CLOUD_SDK_VERSION}-0 $INSTALL_COMPONENTS && \
gcloud config set core/disable_usage_reporting true && \
gcloud config set component_manager/disable_update_check true && \
gcloud config set metrics/environment github_docker_image && \
gcloud --version

View File

@@ -0,0 +1,94 @@
"""
This example assumes you have preconfigured services with selectors in the form of
"ai.allegro.agent.serial=pod-<number>" and a targetPort of 10022.
The K8sIntegration component will label each pod accordingly.
"""
from argparse import ArgumentParser
from clearml_agent.glue.k8s import K8sIntegration
def parse_args():
parser = ArgumentParser()
group = parser.add_mutually_exclusive_group()
parser.add_argument(
"--queue", type=str, help="Queue to pull tasks from"
)
group.add_argument(
"--ports-mode", action='store_true', default=False,
help="Ports-Mode will add a label to the pod which can be used as service, in order to expose ports"
"Should not be used with max-pods"
)
parser.add_argument(
"--num-of-services", type=int, default=20,
help="Specify the number of k8s services to be used. Use only with ports-mode."
)
parser.add_argument(
"--base-port", type=int,
help="Used in conjunction with ports-mode, specifies the base port exposed by the services. "
"For pod #X, the port will be <base-port>+X. Note that pod number is calculated based on base-pod-num"
"e.g. if base-port=20000 and base-pod-num=3, the port for the first pod will be 20003"
)
parser.add_argument(
"--base-pod-num", type=int, default=1,
help="Used in conjunction with ports-mode and base-port, specifies the base pod number to be used by the "
"service (default: %(default)s)"
)
parser.add_argument(
"--gateway-address", type=str, default=None,
help="Used in conjunction with ports-mode, specify the external address of the k8s ingress / ELB"
)
parser.add_argument(
"--pod-clearml-conf", type=str,
help="Configuration file to be used by the pod itself (if not provided, current configuration is used)"
)
parser.add_argument(
"--overrides-yaml", type=str,
help="YAML file containing pod overrides to be used when launching a new pod"
)
parser.add_argument(
"--template-yaml", type=str,
help="YAML file containing pod template. If provided pod will be scheduled with kubectl apply "
"and overrides are ignored, otherwise it will be scheduled with kubectl run"
)
parser.add_argument(
"--ssh-server-port", type=int, default=0,
help="If non-zero, every pod will also start an SSH server on the selected port (default: zero, not active)"
)
parser.add_argument(
"--namespace", type=str,
help="Specify the namespace in which pods will be created (default: %(default)s)", default="clearml"
)
group.add_argument(
"--max-pods", type=int,
help="Limit the maximum number of pods that this service can run at the same time."
"Should not be used with ports-mode"
)
return parser.parse_args()
def main():
args = parse_args()
user_props_cb = None
if args.ports_mode and args.base_port:
def k8s_user_props_cb(pod_number=0):
user_prop = {"k8s-pod-port": args.base_port + pod_number}
if args.gateway_address:
user_prop["k8s-gateway-address"] = args.gateway_address
return user_prop
user_props_cb = k8s_user_props_cb
k8s = K8sIntegration(
ports_mode=args.ports_mode, num_of_services=args.num_of_services, base_pod_num=args.base_pod_num,
user_props_cb=user_props_cb, overrides_yaml=args.overrides_yaml, clearml_conf_file=args.pod_clearml_conf,
template_yaml=args.template_yaml, extra_bash_init_script=K8sIntegration.get_ssh_server_bash(
ssh_port_number=args.ssh_server_port) if args.ssh_server_port else None,
namespace=args.namespace, max_pods_limit=args.max_pods or None,
)
k8s.k8s_daemon(args.queue)
if __name__ == "__main__":
main()

View File

@@ -1,16 +1,36 @@
#!/bin/sh
#!/bin/bash +x
CLEARML_FILES_HOST=${CLEARML_FILES_HOST:-$TRAINS_FILES_HOST}
if [ -n "$SHUTDOWN_IF_NO_ACCESS_KEY" ] && [ -z "$CLEARML_API_ACCESS_KEY" ] && [ -z "$TRAINS_API_ACCESS_KEY" ]; then
echo "CLEARML_API_ACCESS_KEY was not provided, service will not be started"
exit 0
fi
export CLEARML_FILES_HOST=${CLEARML_FILES_HOST:-$TRAINS_FILES_HOST}
if [ -z "$CLEARML_FILES_HOST" ]; then
CLEARML_HOST_IP=${CLEARML_HOST_IP:-${TRAINS_HOST_IP:-$(curl -s https://ifconfig.me/ip)}}
fi
CLEARML_FILES_HOST=${CLEARML_FILES_HOST:-${TRAINS_FILES_HOST:-"http://$CLEARML_HOST_IP:8081"}}
CLEARML_WEB_HOST=${CLEARML_WEB_HOST:-${TRAINS_WEB_HOST:-"http://$CLEARML_HOST_IP:8080"}}
CLEARML_API_HOST=${CLEARML_API_HOST:-${TRAINS_API_HOST:-"http://$CLEARML_HOST_IP:8008"}}
export CLEARML_FILES_HOST=${CLEARML_FILES_HOST:-${TRAINS_FILES_HOST:-"http://$CLEARML_HOST_IP:8081"}}
export CLEARML_WEB_HOST=${CLEARML_WEB_HOST:-${TRAINS_WEB_HOST:-"http://$CLEARML_HOST_IP:8080"}}
export CLEARML_API_HOST=${CLEARML_API_HOST:-${TRAINS_API_HOST:-"http://$CLEARML_HOST_IP:8008"}}
echo $CLEARML_FILES_HOST $CLEARML_WEB_HOST $CLEARML_API_HOST 1>&2
python3 -m pip install -q -U "clearml-agent${CLEARML_AGENT_UPDATE_VERSION:-$TRAINS_AGENT_UPDATE_VERSION}"
clearml-agent daemon --services-mode --queue services --create-queue --docker "${CLEARML_AGENT_DEFAULT_BASE_DOCKER:-$TRAINS_AGENT_DEFAULT_BASE_DOCKER}" --cpu-only ${CLEARML_AGENT_EXTRA_ARGS:-$TRAINS_AGENT_EXTRA_ARGS}
if [[ "$CLEARML_AGENT_UPDATE_VERSION" =~ ^[0-9]{1,3}\.[0-9]{1,3}(\.[0-9]{1,3}([a-zA-Z]{1,3}[0-9]{1,3})?)?$ ]]
then
CLEARML_AGENT_UPDATE_VERSION="==$CLEARML_AGENT_UPDATE_VERSION"
fi
DAEMON_OPTIONS=${CLEARML_AGENT_DAEMON_OPTIONS:---services-mode --create-queue}
QUEUES=${CLEARML_AGENT_QUEUES:-services}
if [ -z "$CLEARML_AGENT_NO_UPDATE" ]; then
if [ -n "$CLEARML_AGENT_UPDATE_REPO" ]; then
python3 -m pip install -q -U $CLEARML_AGENT_UPDATE_REPO
else
python3 -m pip install -q -U "clearml-agent${CLEARML_AGENT_UPDATE_VERSION:-$TRAINS_AGENT_UPDATE_VERSION}"
fi
fi
clearml-agent daemon $DAEMON_OPTIONS --queue $QUEUES --docker "${CLEARML_AGENT_DEFAULT_BASE_DOCKER:-$TRAINS_AGENT_DEFAULT_BASE_DOCKER}" --cpu-only ${CLEARML_AGENT_EXTRA_ARGS:-$TRAINS_AGENT_EXTRA_ARGS}

View File

@@ -4,7 +4,7 @@ api {
web_server: https://demoapp.demo.clear.ml
files_server: https://demofiles.demo.clear.ml
# Credentials are generated in the webapp, https://demoapp.demo.clear.ml/profile
# Credentials are generated in the webapp, https://app.clear.ml/settings/workspace-configuration
# Overridden with os environment: CLEARML_API_ACCESS_KEY / CLEARML_API_SECRET_KEY
credentials {"access_key": "EGRTCO8JMSIGI6S39GTP43NFWXDQOW", "secret_key": "x!XTov_G-#vspE*Y(h$Anm&DIc5Ou-F)jsl$PdOyj5wG1&E!Z8"}
@@ -13,13 +13,27 @@ api {
}
agent {
# unique name of this worker, if None, created based on hostname:process_id
# Override with os environment: CLEARML_WORKER_ID
# worker_id: "clearml-agent-machine1:gpu0"
worker_id: ""
# worker name, replaces the hostname when creating a unique name for this worker
# Override with os environment: CLEARML_WORKER_NAME
# worker_name: "clearml-agent-machine1"
worker_name: ""
# Set GIT user/pass credentials (if user/pass are set, GIT protocol will be set to https)
# leave blank for GIT SSH credentials (set force_git_ssh_protocol=true to force SSH protocol)
git_user=""
git_pass=""
# **Notice**: GitHub personal token is equivalent to password, you can put it directly into `git_pass`
# To learn how to generate git token GitHub/Bitbucket/GitLab:
# https://docs.github.com/en/authentication/keeping-your-account-and-data-secure/creating-a-personal-access-token
# https://support.atlassian.com/bitbucket-cloud/docs/app-passwords/
# https://docs.gitlab.com/ee/user/profile/personal_access_tokens.html
# git_user: ""
# git_pass: ""
# Limit credentials to a single domain, for example: github.com,
# all other domains will use public access (no user/pass). Default: always send user/pass for any VCS domain
git_host=""
# git_host: ""
# Force GIT protocol to use SSH regardless of the git url (Assumes GIT user/pass are blank)
force_git_ssh_protocol: false
@@ -28,16 +42,6 @@ agent {
# Force a specific SSH username when converting http to ssh links (the default username is 'git')
# force_git_ssh_user: git
# unique name of this worker, if None, created based on hostname:process_id
# Overridden with os environment: CLEARML_WORKER_NAME
# worker_id: "clearml-agent-machine1:gpu0"
worker_id: ""
# worker name, replaces the hostname when creating a unique name for this worker
# Overridden with os environment: CLEARML_WORKER_ID
# worker_name: "clearml-agent-machine1"
worker_name: ""
# Set the python version to use when creating the virtual environment and launching the experiment
# Example values: "/usr/bin/python3" or "/usr/local/bin/python3.6"
# The default is the python executing the clearml_agent
@@ -46,6 +50,22 @@ agent {
# specific python version and the system supports multiple python the agent will use the requested python version)
# ignore_requested_python_version: true
# Force the root folder of the git repository (instead of the working directory) into the PYHTONPATH
# default false, only the working directory will be added to the PYHTONPATH
# force_git_root_python_path: false
# if set, use GIT_ASKPASS to pass user/pass when cloning / fetch repositories
# it solves passing user/token to git submodules.
# this is a safer way to ensure multiple users using the same repository will
# not accidentally leak credentials
# Only supported on Linux systems, it will be the default in future releases
# enable_git_ask_pass: false
# in docker mode, if container's entrypoint automatically activated a virtual environment
# use the activated virtual environment and install everything there
# set to False to disable, and always create a new venv inheriting from the system_site_packages
# docker_use_activated_venv: true
# select python package manager:
# currently supported: pip, conda and poetry
# if "pip" or "conda" are used, the agent installs the required packages
@@ -58,8 +78,11 @@ agent {
# supported options: pip, conda, poetry
type: pip,
# specify pip version to use (examples "<20", "==19.3.1", "", empty string will install the latest version)
# pip_version: "<20"
# specify pip version to use (examples "<20.2", "==19.3.1", "", empty string will install the latest version)
# pip_version: ["<20.2 ; python_version < '3.10'", "<22.3 ; python_version >= '3.10'"]
# specify poetry version to use (examples "<2", "==1.1.1", "", empty string will install the latest version)
# poetry_version: "<2",
# poetry_install_extra_args: ["-v"]
# virtual environment inheres packages from system
system_site_packages: false,
@@ -106,7 +129,7 @@ agent {
# minimum required free space to allow for cache entry, disable by passing 0 or negative value
free_space_threshold_gb: 2.0
# unmark to enable virtual environment caching
# path: ~/.clearml/venvs-cache
path: ~/.clearml/venvs-cache
},
# cached git clone folder
@@ -129,6 +152,12 @@ agent {
},
translate_ssh: true,
# set "disable_ssh_mount: true" to disable the automatic mount of ~/.ssh folder into the docker containers
# default is false, automatically mounts ~/.ssh
# Must be set to True if using "clearml-session" with this agent!
# disable_ssh_mount: false
# reload configuration file every daemon execution
reload_config: false,
@@ -155,17 +184,64 @@ agent {
default_docker: {
# default docker image to use when running in docker mode
image: "nvidia/cuda:10.1-cudnn7-runtime-ubuntu18.04"
image: "nvidia/cuda:10.2-cudnn7-runtime-ubuntu18.04"
# optional arguments to pass to docker image
# arguments: ["--ipc=host"]
# lookup table rules for default container
# first matched rule will be picked, according to rule order
# enterprise version only
# match_rules: [
# {
# image: "nvidia/cuda:10.1-cudnn7-runtime-ubuntu18.04"
# arguments: "-e define=value"
# match: {
# script{
# # Optional: must match all requirements (not partial)
# requirements: {
# # version selection matching PEP-440
# pip: {
# tensorflow: "~=2.6"
# },
# }
# # Optional: matching based on regular expression, example: "^exact_match$"
# repository: "/my_repository/"
# branch: "main"
# binary: "python3.6"
# }
# # Optional: matching based on regular expression, example: "^exact_match$"
# project: "project/sub_project"
# }
# },
# {
# image: "nvidia/cuda:10.1-cudnn7-runtime-ubuntu18.04"
# arguments: "-e define=value"
# match: {
# # must match all requirements (not partial)
# script{
# requirements: {
# conda: {
# torch: ">=2.6,<2.8"
# }
# }
# # no repository matching required
# repository: ""
# }
# # no container image matching required (allow to replace one requested container with another)
# container: ""
# # no repository matching required
# project: ""
# }
# },
# ]
}
# set the OS environments based on the Task's Environment section before launching the Task process.
enable_task_env: false
# CUDA versions used for Conda setup & solving PyTorch wheel packages
# it Should be detected automatically. Override with os environment CUDA_VERSION / CUDNN_VERSION
# Should be detected automatically. Override with os environment CUDA_VERSION / CUDNN_VERSION
# cuda_version: 10.1
# cudnn_version: 7.6
@@ -179,6 +255,7 @@ agent {
hide_docker_command_env_vars {
enabled: true
extra_keys: []
parse_embedded_urls: true
}
# allow to set internal mount points inside the docker,
@@ -190,14 +267,14 @@ agent {
# pip_cache: "/root/.cache/pip"
# poetry_cache: "/root/.cache/pypoetry"
# vcs_cache: "/root/.clearml/vcs-cache"
# venv_build: "/root/.clearml/venvs-builds"
# venv_build: "~/.clearml/venvs-builds"
# pip_download: "/root/.clearml/pip-download-cache"
# }
# Name docker containers created by the daemon using the following string format (supported from Docker 0.6.5)
# Allowed variables are task_id, worker_id and rand_string (random lower-case letters string, up to 32 charaters)
# Note: resulting name must start with an alpha-numeric character and
# continue with a alpha-numeric characters, underscores (_), dots (.) and/or dashes (-)
# Allowed variables are task_id, worker_id and rand_string (random lower-case letters string, up to 32 characters)
# Note: resulting name must start with an alphanumeric character and
# continue with alphanumeric characters, underscores (_), dots (.) and/or dashes (-)
# docker_container_name_format: "clearml-id-{task_id}-{rand_string:.8}"
}
@@ -270,6 +347,11 @@ sdk {
key: ""
secret: ""
region: ""
# Or enable credentials chain to let Boto3 pick the right credentials.
# This includes picking credentials from environment variables,
# credential file and IAM role using metadata service.
# Refer to the latest Boto3 docs
use_credentials_chain: false
credentials: [
# specifies key/secret credentials to use when handling s3 urls (read or write)
@@ -285,6 +367,7 @@ sdk {
# secret: "12345678"
# multipart: false
# secure: false
# verify: /path/to/ca/bundle.crt OR false to not verify
# }
]
}
@@ -359,5 +442,49 @@ sdk {
log_stdout: True
}
}
# Apply top-level environment section from configuration into os.environ
apply_environment: true
# Apply top-level files section from configuration into local file system
apply_files: true
}
# Environment section (top-level) is applied to the OS environment as `key=value` for each key/value pair
# * enable/disable with `agent.apply_environment` OR `sdk.apply_environment`
# Example:
#
# environment {
# key_a: value_a
# key_b: value_b
# }
# Files section (top-level) allows auto-generating files at designated paths with
# predefined content and target format.
# * enable/disable with `agent.apply_files` OR `sdk.apply_files`
# Files content options include:
# contents: the target file's content, typically a string (or any base type int/float/list/dict etc.)
# format: a custom format for the contents. Currently supported value is `base64` to automatically decode a
# base64-encoded contents string, otherwise ignored
# path: the target file's path, may include ~ and inplace env vars
# target_format: format used to encode contents before writing into the target file. Supported values are json,
# yaml, yml and bytes (in which case the file will be written in binary mode). Default is text mode.
# overwrite: overwrite the target file in case it exists. Default is true.
#
# Example:
# files {
# myfile1 {
# contents: "The quick brown fox jumped over the lazy dog"
# path: "/tmp/fox.txt"
# }
# myjsonfile {
# contents: {
# some {
# nested {
# value: [1, 2, 3, 4]
# }
# }
# }
# path: "/tmp/test.json"
# target_format: json
# }
# }

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@@ -65,6 +65,10 @@ def parse_args():
help="Limit the maximum number of pods that this service can run at the same time."
"Should not be used with ports-mode"
)
parser.add_argument(
"--use-owner-token", action="store_true", default=False,
help="Generate and use task owner token for the execution of each task"
)
return parser.parse_args()
@@ -87,7 +91,7 @@ def main():
ssh_port_number=args.ssh_server_port) if args.ssh_server_port else None,
namespace=args.namespace, max_pods_limit=args.max_pods or None,
)
k8s.k8s_daemon(args.queue)
k8s.k8s_daemon(args.queue, use_owner_token=args.use_owner_token)
if __name__ == "__main__":

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@@ -1,17 +1,15 @@
attrs>=18.0,<20.4.0
attrs>=18.0,<23.0.0
enum34>=0.9,<1.2.0 ; python_version < '3.6'
furl>=2.0.0,<2.2.0
future>=0.16.0,<0.19.0
jsonschema>=2.6.0,<3.3.0
jsonschema>=2.6.0,<5.0.0
pathlib2>=2.3.0,<2.4.0
psutil>=3.4.2,<5.9.0
pyhocon>=0.3.38,<0.4.0
pyparsing>=2.0.3,<2.5.0
psutil>=3.4.2,<5.10.0
pyparsing>=2.0.3,<3.1.0
python-dateutil>=2.4.2,<2.9.0
pyjwt>=1.6.4,<2.1.0
PyYAML>=3.12,<5.5.0
requests>=2.20.0,<2.26.0
six>=1.11.0,<1.16.0
typing>=3.6.4,<3.8.0
pyjwt>=2.4.0,<2.7.0
PyYAML>=3.12,<6.1
requests>=2.20.0,<2.29.0
six>=1.13.0,<1.17.0
typing>=3.6.4,<3.8.0 ; python_version < '3.5'
urllib3>=1.21.1,<1.27.0
virtualenv>=16,<21

View File

@@ -61,6 +61,7 @@ setup(
'Programming Language :: Python :: 3.7',
'Programming Language :: Python :: 3.8',
'Programming Language :: Python :: 3.9',
'Programming Language :: Python :: 3.10',
'License :: OSI Approved :: Apache Software License',
],