Alice Engineering Comms 🪬 #1406
Replies: 691 comments 523 replies
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2022-07-18 Engineering Logs
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2022-07-18 @pdxjohnny Engineering Logs
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2022-07-19 Engineering Logs
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2022-07-19 @pdxjohnny Engineering Logs
Unsent to Mike Scovetta: michael.scovetta (at) microsoft.com Hi Mike, Hope you’ve been well. It’s John from Intel. Thanks again to you and the team for welcoming me to the Identifying Security Threats working group meeting 2021-02-18 last year. We talked a bit about how Intel had a similar effort. I then changed roles hoping to get more involved with OpenSSF but then ended up getting told to be uninvolved. Now I switched roles again and involvement is in scope! Sorry for the lapse in communications. I periodically check the minutes so I joined today and asked about the "Alpha-Omega" project from last week’s minutes which I then did some research on. We just started what looks to me to be an aligned project, coincidentally named Alice Omega Alpha: https://github.com/intel/dffml/tree/alice/entities/alice Alice is the nickname for both the entity and the architecture, the Open Architecture, which is a methodology for interpretation of existing well established, formats, protocols, and other domain specific representations of architecture. What we end up with is some JSON, YAML, or other blob of structured data that we can use to build cross language tooling focused more on policy and intent, incorporating data from arbitrary sources to create a holistic picture of software across dependency boundaries by focusing on threat models. Alice will be doing scans of open source projects and we’d still love to collaborate to contribute metrics to the OpenSSF metrics database, we can easily have her shoot applicable metrics off to that DB. We’ve also been looking at fusing VEX and DIDs to facilitate distributed vulnerability disclosure and patch distribution. Unset to Jun Takei: jun.takei (at) intel.com The W3C today issued the recommendation on DIDs. Jun I saw from Eric's The DFFML community is working on a project called Alice She’s open source with a plugin system ("overlays") so we can write open source code To increase the level of trust in our supply chain we would like to ensure interoperability Please let us know where things are at with your involvement with DIDs and SCITT so we References:
Unsent To: Jun and Mike and Dan lorenc.d (at) gmail.com I commented on the OpenSFF Stream 8 doc recommending that DIDs be looked at We've been looking potentially at a hybrid DID plus rekor References: |
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2022-07-20 Engineering Logs
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2022-07-20 @pdxjohnny Engineering Logs
Unsent To: Jun and Mike and Yan I commented on the OpenSFF Stream 8 doc recommending that DIDs be looked at We've been looking potentially at a hybrid DID plus rekor References: |
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2022-07-20 Identifying Security Threats WG
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2022-07-21 Engineering Logs
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2022-07-23 |
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2022-07-28 Alice Intelligence/Open Architecture Working Group Initial Meeting
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2022-07-25 Engineering Logs
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2022-07-25 @pdxjohnny Engineering Logs
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2022-07-25 Supply Chain Integrity, Transparency and Trust (SCITT)
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2022-07-26 Engineering Logs
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2022-07-26 @pdxjohnny Engineering Logs
$ git grep -C 22 run_custom
alice/please/contribute/recommended_community_standards/cli.py- async def cli_run_on_repo(self, repo: "CLIRunOnRepo"):
alice/please/contribute/recommended_community_standards/cli.py- # TODO Similar to Expand being an alias of Union
alice/please/contribute/recommended_community_standards/cli.py- #
alice/please/contribute/recommended_community_standards/cli.py- # async def cli_run_on_repo(self, repo: 'CLIRunOnRepo') -> SystemContext[StringInputSetContext[AliceGitRepo]]:
alice/please/contribute/recommended_community_standards/cli.py- # return repo
alice/please/contribute/recommended_community_standards/cli.py- #
alice/please/contribute/recommended_community_standards/cli.py- # Or ideally at class scope
alice/please/contribute/recommended_community_standards/cli.py- #
alice/please/contribute/recommended_community_standards/cli.py- # 'CLIRunOnRepo' -> SystemContext[StringInputSetContext[AliceGitRepo]]
alice/please/contribute/recommended_community_standards/cli.py- async with self.parent.__class__(self.parent.config) as custom_run_dataflow:
alice/please/contribute/recommended_community_standards/cli.py- async with custom_run_dataflow(
alice/please/contribute/recommended_community_standards/cli.py- self.ctx, self.octx
alice/please/contribute/recommended_community_standards/cli.py- ) as custom_run_dataflow_ctx:
alice/please/contribute/recommended_community_standards/cli.py- # This is the type cast
alice/please/contribute/recommended_community_standards/cli.py- custom_run_dataflow.op = self.parent.op._replace(
alice/please/contribute/recommended_community_standards/cli.py- inputs={
alice/please/contribute/recommended_community_standards/cli.py- "repo": AlicePleaseContributeRecommendedCommunityStandards.RepoString
alice/please/contribute/recommended_community_standards/cli.py- }
alice/please/contribute/recommended_community_standards/cli.py- )
alice/please/contribute/recommended_community_standards/cli.py- # Set the dataflow to be the same flow
alice/please/contribute/recommended_community_standards/cli.py- # TODO Reuse ictx? Is that applicable?
alice/please/contribute/recommended_community_standards/cli.py- custom_run_dataflow.config.dataflow = self.octx.config.dataflow
alice/please/contribute/recommended_community_standards/cli.py: await dffml.run_dataflow.run_custom(
alice/please/contribute/recommended_community_standards/cli.py- custom_run_dataflow_ctx, {"repo": repo},
alice/please/contribute/recommended_community_standards/cli.py- ) |
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2022-07-27 Engineering Logs
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2022-07-27 @pdxjohnny Engineering Logs
Refactoring and Thinking About Locking of Repos for Contributions
$ python ascii_art.py /mnt/c/Users/Johnny/Downloads/alice-looking-up-white-background.png$ alice
usage: alice [-h] [-log LOG] {please,shouldi,threats} ...
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/\
/ \
Intent
/ \
/ \
/ \
/ \
/ \
/ Alice is Here \
/ \
/ \
/______________________\
Dynamic Analysis Static Analysis
Alice's source code: https://github.com/intel/dffml/tree/alice/entities/alice
How we built Alice: https://github.com/intel/dffml/tree/alice/docs/tutorials/rolling_alice
How to extend Alice: https://github.com/intel/dffml/blob/alice/entities/alice/CONTRIBUTING.rst
Comment to get involved: https://github.com/intel/dffml/discussions/1406
positional arguments:
{please,shouldi,threats}
optional arguments:
-h, --help show this help message and exit
-log LOG Logging Level
entities/alice/alice/timelines.py """
Helpers for the timelines we support
"""
# Trinity Day 0
ALICE_DAY_0_GREGORIAN = datetime.datetime(2022, 4, 16)
def date_alice_from_gregorian(date: str) -> int:
# TODO
return ALICE_DAY_0_GREGORIANdiff --git a/dffml/base.py b/dffml/base.py
index fea0ef7220..9d6cd886fa 100644
--- a/dffml/base.py
+++ b/dffml/base.py
@@ -237,6 +237,7 @@ def convert_value(arg, value, *, dataclass=None):
# before checking if the value is an instance of that
# type. Since it doesn't make sense to check if the
# value is an instance of something that's not a type.
+ print(possible_type, value)
if isinstance(possible_type, type) and isinstance(
value, possible_type
):
diff --git a/dffml/df/system_context/system_context.py b/dffml/df/system_context/system_context.py
index e055a343f1..063547ad0c 100644
--- a/dffml/df/system_context/system_context.py
+++ b/dffml/df/system_context/system_context.py
@@ -90,11 +90,11 @@ class SystemContextConfig:
# links: 'SystemContextConfig'
overlay: Union["SystemContextConfig", DataFlow] = field(
"The overlay we will apply with any overlays to merge within it (see default overlay usage docs)",
- default=APPLY_INSTALLED_OVERLAYS,
+ default=None,
)
orchestrator: Union["SystemContextConfig", BaseOrchestrator] = field(
"The system context who's default flow will be used to produce an orchestrator which will be used to execute this system context including application of overlays",
- default_factory=lambda: MemoryOrchestrator,
+ default=None,
)
@@ -131,6 +131,7 @@ class SystemContext(BaseDataFlowFacilitatorObject):
)
# TODO(alice) Apply overlay
if self.config.overlay not in (None, APPLY_INSTALLED_OVERLAYS):
+ print(self.config.overlay)
breakpoint()
raise NotImplementedError(
"Application of overlays within SystemContext class entry not yet supported"
diff --git a/dffml/high_level/dataflow.py b/dffml/high_level/dataflow.py
index d180b5c302..d595ae1cb4 100644
--- a/dffml/high_level/dataflow.py
+++ b/dffml/high_level/dataflow.py
@@ -206,12 +206,25 @@ async def run(
# the of the one that got passed in and the overlay.
if inspect.isclass(overlay):
overlay = overlay()
+ # TODO Move this into Overlay.load. Create a system context to
+ # execute the overlay if it is not already.
+ known_overlay_types = (DataFlow, SystemContext)
+ if not isinstance(overlay, known_overlay_types):
+ raise NotImplementedError(f"{overlay} is not a known type {known_overlay_types}")
+ if isinstance(overlay, DataFlow):
+ overlay = SystemContext(
+ upstream=overlay,
+ )
# TODO(alice) overlay.deployment("native.python.overlay.apply")
apply_overlay = overlay.deployment()
async for _ctx, result in apply_overlay(
dataflow=dataflow,
):
+ print("FEEDFACE", _ctx, result)
+ breakpoint()
+ return
continue
+
# TODO
resultant_system_context = SystemContext(
upstream=result["overlays_merged"], overlay=None,
diff --git a/dffml/overlay/overlay.py b/dffml/overlay/overlay.py
index 13a50d9c10..0a01d38de9 100644
--- a/dffml/overlay/overlay.py
+++ b/dffml/overlay/overlay.py
@@ -124,7 +124,7 @@ DFFML_MAIN_PACKAGE_OVERLAY = DataFlow(
stage=Stage.OUTPUT,
inputs={
"merged": DataFlowAfterOverlaysMerged,
- "dataflow_we_are_applying_overlays_to_by_running_overlay_dataflow_and_passing_as_an_input": DataFlowWeAreApplyingOverlaysToByRunningOverlayDataflowAndPassingAsAnInput,
+ "upstream": DataFlowWeAreApplyingOverlaysToByRunningOverlayDataflowAndPassingAsAnInput,
},
outputs={"overlayed": DataFlowAfterOverlaysApplied,},
multi_output=False,
@@ -208,15 +208,12 @@ merge_implementations(
DFFML_OVERLAYS_INSTALLED.update(auto_flow=True)
# Create Class for calling operations within the System Context as methods
-DFFMLOverlaysInstalled = SystemContext.subclass(
- "DFFMLOverlaysInstalled",
- {
- "upstream": {"default_factory": lambda: DFFML_OVERLAYS_INSTALLED},
- # TODO(alice) We'll need to make sure we have code to instantiate and
- # instance of a class if only a class is given an not an instance.
- "overlay": {"default_factory": lambda: None},
- "orchestrator": {"default_factory": lambda: MemoryOrchestrator()},
- },
+DFFMLOverlaysInstalled = SystemContext(
+ upstream=DFFML_OVERLAYS_INSTALLED,
+ # TODO(alice) We'll need to make sure we have code to instantiate and
+ # instance of a class if only a class is given an not an instance.
+ overlay=None,
+ orchestrator=MemoryOrchestrator(),
)
# Callee
diff --git a/entities/alice/alice/please/contribute/recommended_community_standards/alice/operations/github/issue.py b/entities/alice/alice/please/contribute/recommended_community_standards/alice/operations/github/issue.py
index 46d20c8c85..fff5d4928b 100644
--- a/entities/alice/alice/please/contribute/recommended_community_standards/alice/operations/github/issue.py
+++ b/entities/alice/alice/please/contribute/recommended_community_standards/alice/operations/github/issue.py
@@ -18,6 +18,14 @@ from ....recommended_community_standards import AliceGitRepo, AlicePleaseContrib
from ....dffml.operations.git.contribute import AlicePleaseContributeRecommendedCommunityStandardsOverlayGit
+GitHubIssue = NewType("GitHubIssue", str)
+
+
+@dataclasses.dataclass
+class RecommendedCommunityStandardContribution:
+ path: pathlib.Path
+ issue: GitHubIssue
+
class AlicePleaseContributeRecommendedCommunityStandardsOverlayGitHubIssue:
"""
@@ -39,6 +47,7 @@ class AlicePleaseContributeRecommendedCommunityStandardsOverlayGitHubIssue:
MetaIssueTitle = NewType("MetaIssueTitle", str)
MetaIssueBody = NewType("MetaIssueBody", str)
+ # TODO This should only be run if there is a need for a README
# body: Optional['ContributingIssueBody'] = "References:\n- https://docs.github.com/articles/setting-guidelines-for-repository-contributors/",
async def readme_issue(
self,
@@ -79,13 +88,40 @@ class AlicePleaseContributeRecommendedCommunityStandardsOverlayGitHubIssue:
"""
).lstrip()
- # TODO(alice) There is a bug with Optional which can be revield by use here
+
@staticmethod
+ async def readme_contribution(
+ issue: "ReadmeIssue",
+ path: AlicePleaseContributeRecommendedCommunityStandards.ReadmePath,
+ ) -> RecommendedCommunityStandardContribution:
+ return RecommendedCommunityStandardContribution(
+ path=path,
+ issue=issue,
+ )
+
+
+ """
+ @dffml.op(
+ stage=dffml.Stage.OUTPUT,
+ )
+ async def collect_recommended_community_standard_contributions(
+ self,
+ ) -> List[RecommendedCommunityStandardContribution]:
+ async with self.octx.ictx.definitions(self.ctx) as od:
+ return [item async for item in od.inputs(RecommendedCommunityStandardContribution)]
+ """
+
+
+ # TODO(alice) There is a bug with Optional which can be revield by use here
def meta_issue_body(
repo: AliceGitRepo,
base: AlicePleaseContributeRecommendedCommunityStandardsOverlayGit.BaseBranch,
- readme_path: AlicePleaseContributeRecommendedCommunityStandards.ReadmePath,
- readme_issue: ReadmeIssue,
+ # recommended_community_standard_contributions: List[RecommendedCommunityStandardContribution],
+ # TODO On @op inspect paramter if Collect is found on an input, wrap the
+ # operation in a subflow and add a generic version of
+ # collect_recommended_community_standard_contributions to the flow as an
+ # autostart or triggered via auto start operation.
+ # recommended_community_standard_contributions: Collect[List[RecommendedCommunityStandardContribution]],
) -> "MetaIssueBody":
"""
>>> AlicePleaseContributeRecommendedCommunityStandardsGitHubIssueOverlay.meta_issue_body(
@@ -98,6 +134,7 @@ class AlicePleaseContributeRecommendedCommunityStandardsOverlayGitHubIssue:
- [] [License](https://github.com/intel/dffml/blob/main/LICENSE)
- [] Security
"""
+ readme_issue, readme_path = recommended_community_standard_contributions[0]
return "\n".join(
[
"- [" |
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-
2022-07-28 Engineering Logs |
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-
2022-07-28 @pdxjohnny Engineering Logs
43
44
$ (for i in $(echo determin_base_branch readme_pr_body contribute_readme_md github_owns_remote alice_contribute_readme); do grep -rn "${i} Outputs" .output/2022-07-28-14-11.txt; done) | sort | uniq | sort
354:DEBUG:dffml.MemoryOperationImplementationNetworkContext:alice.please.contribute.recommended_community_standards.recommended_community_standards.OverlayGitHub:github_owns_remote Outputs: {'result': 'origin'}
361:DEBUG:dffml.MemoryOperationImplementationNetworkContext:alice.please.contribute.recommended_community_standards.recommended_community_standards.OverlayGit:determin_base_branch Outputs: {'result': 'master'}
450:DEBUG:dffml.MemoryOperationImplementationNetworkContext:alice.please.contribute.recommended_community_standards.recommended_community_standards.OverlayREADME:readme_pr_body Outputs: {'result': 'Closes: https://github.com/pdxjohnny/testaaaa/issues/188'}
472:DEBUG:dffml.MemoryOperationImplementationNetworkContext:alice.please.contribute.recommended_community_standards.recommended_community_standards.OverlayREADME:contribute_readme_md Outputs: {'result': 'alice-contribute-recommended-community-standards-readme'}
479:DEBUG:dffml.MemoryOperationImplementationNetworkContext:alice.please.contribute.recommended_community_standards.recommended_community_standards.OverlayREADME:alice_contribute_readme Outputs: None
$ dffml service dev export alice.cli:AlicePleaseContributeCLIDataFlow | tee alice.please.contribute.recommended_community_standards.json
$ (echo -e 'HTTP/1.0 200 OK\n' && dffml dataflow diagram -shortname alice.please.contribute.recommended_community_standards.json) | nc -Nlp 9999;
graph TD
subgraph a759a07029077edc5c37fea0326fa281[Processing Stage]
style a759a07029077edc5c37fea0326fa281 fill:#afd388b5,stroke:#a4ca7a
subgraph 8cfb8cd5b8620de4a7ebe0dfec00771a[cli_has_repos]
style 8cfb8cd5b8620de4a7ebe0dfec00771a fill:#fff4de,stroke:#cece71
d493c90433d19f11f33c2d72cd144940[cli_has_repos]
e07552ee3b6b7696cb3ddd786222eaad(cmd)
e07552ee3b6b7696cb3ddd786222eaad --> d493c90433d19f11f33c2d72cd144940
cee6b5fdd0b6fbd0539cdcdc7f5a3324(wanted)
cee6b5fdd0b6fbd0539cdcdc7f5a3324 --> d493c90433d19f11f33c2d72cd144940
79e1ea6822bff603a835fb8ee80c7ff3(result)
d493c90433d19f11f33c2d72cd144940 --> 79e1ea6822bff603a835fb8ee80c7ff3
end
subgraph 0c2b64320fb5666a034794bb2195ecf0[cli_is_asking_for_recommended_community_standards]
style 0c2b64320fb5666a034794bb2195ecf0 fill:#fff4de,stroke:#cece71
222ee6c0209f1f1b7a782bc1276868c7[cli_is_asking_for_recommended_community_standards]
330f463830aa97e88917d5a9d1c21500(cmd)
330f463830aa97e88917d5a9d1c21500 --> 222ee6c0209f1f1b7a782bc1276868c7
ba29b52e9c5aa88ea1caeeff29bfd491(result)
222ee6c0209f1f1b7a782bc1276868c7 --> ba29b52e9c5aa88ea1caeeff29bfd491
end
subgraph eac58e8db2b55cb9cc5474aaa402c93e[cli_is_meant_on_this_repo]
style eac58e8db2b55cb9cc5474aaa402c93e fill:#fff4de,stroke:#cece71
6c819ad0228b0e7094b33e0634da9a38[cli_is_meant_on_this_repo]
dc7c5f0836f7d2564c402bf956722672(cmd)
dc7c5f0836f7d2564c402bf956722672 --> 6c819ad0228b0e7094b33e0634da9a38
58d8518cb0d6ef6ad35dc242486f1beb(wanted)
58d8518cb0d6ef6ad35dc242486f1beb --> 6c819ad0228b0e7094b33e0634da9a38
135ee61e3402d6fcbd7a219b0b4ccd73(result)
6c819ad0228b0e7094b33e0634da9a38 --> 135ee61e3402d6fcbd7a219b0b4ccd73
end
subgraph 37887bf260c5c8e9bd18038401008bbc[cli_run_on_repo]
style 37887bf260c5c8e9bd18038401008bbc fill:#fff4de,stroke:#cece71
9d1042f33352800e54d98c9c5a4223df[cli_run_on_repo]
e824ae072860bc545fc7d55aa0bca479(repo)
e824ae072860bc545fc7d55aa0bca479 --> 9d1042f33352800e54d98c9c5a4223df
40109d487bb9f08608d8c5f6e747042f(result)
9d1042f33352800e54d98c9c5a4223df --> 40109d487bb9f08608d8c5f6e747042f
end
subgraph 66ecd0c1f2e08941c443ec9cd89ec589[guess_repo_string_is_directory]
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d2708225c1f4c95d613a2645a17a5bc0(seed<br>repo.directory.readme.contents)
d2708225c1f4c95d613a2645a17a5bc0 --> 54faf20bfdca0e63d07efb3e5a984cf1
2f9316539862f119f7c525bf9061e974 --> 8c089c362960ccf181742334a3dccaea
1d2360c9da18fac0b6ec142df8f3fbda --> 0af5cbea9050874a0a3cba73bb61f892
1daacccd02f8117e67ad3cb8686a732c(seed<br>ReadmeIssueBody)
1daacccd02f8117e67ad3cb8686a732c --> d519830ab4e07ec391038e8581889ac3
2f9316539862f119f7c525bf9061e974 --> 268852aa3fa8ab0864a32abae5a333f7
0c1ab2d4bda10e1083557833ae5c5da4(seed<br>ReadmeIssueTitle)
0c1ab2d4bda10e1083557833ae5c5da4 --> 77a11dd29af309cf43ed321446c4bf01
150204cd2d5a921deb53c312418379a1 --> 127d77c3047facc1daa621148c5a0a1d
40ddb5b508cb5643e7c91f7abdb72b84 --> cb421e4de153cbb912f7fbe57e4ad734
0ee9f524d2db12be854fe611fa8126dd --> cbf7a0b88c0a41953b245303f3e9a0d3
b4cff8d194413f436d94f9d84ece0262 --> e5f9ad44448abd2469b3fd9831f3d159
2f9316539862f119f7c525bf9061e974 --> a35aee6711d240378eb57a3932537ca1
956e024fde513b3a449eac9ee42d6ab3 --> dfcce88a7d605d46bf17de1159fbe5ad
1d2360c9da18fac0b6ec142df8f3fbda --> c5dfd309617c909b852afe0b4ae4a178
1d2360c9da18fac0b6ec142df8f3fbda --> 3b2137dd1c61d0dac7d4e40fd6746cfb
8d0adc31da1a0919724baf73d047743c --> 7440e73a8e8f864097f42162b74f2762
8d0adc31da1a0919724baf73d047743c --> eed77b9eea541e0c378c67395351099c
a6ed501edbf561fda49a0a0a3ca310f0(seed<br>git_repo_ssh_key)
a6ed501edbf561fda49a0a0a3ca310f0 --> 8b5928cd265dd2c44d67d076f60c8b05
8e39b501b41c5d0e4596318f80a03210 --> 6a44de06a4a3518b939b27c790f6cdce
4e1d5ea96e050e46ebf95ebc0713d54c --> 181f1b33df4d795fbad2911ec7087e86
end
45$ gif-for-cli --rows $(tput lines) --cols $(tput cols) --export=/mnt/c/Users/Johnny/Downloads/alice-search-alices-adventures-in-wonderland-1.gif "Alice's Adventures in Wonderland"$ watch -n 0.2 'grep FEEDFACE .output/$(ls .output/ | tail -n 1) | sed -e "s/alice.please.contribute.recommended_community_standards.recommended_community_standards.//g" | grep -i repo' |
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-
2022-07-29 Engineering Logs
|
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-
2022-07-29 @pdxjohnny Engineering Logs
$ alice; sleep 3; gif-for-cli -l 0 --rows $(tput lines) --cols $(tput cols) 3553903$ gif-for-cli --rows `tput lines` --cols `tput cols` --export=alice-search-alices-adventures-in-wonderland-1.gif "Alice curtsy"
(why-thank-you-thanks-bow-thank-you-alice-in-wonderland-gif-3553903)
$ gif-for-cli --rows `tput lines` --cols `tput cols` --export=ascii-gif-alice-unbirthday-blow-out-candles-0.gif 26127117
$ gif-for-cli --rows `tput lines` --cols `tput cols` ascii-gif-alice-unbirthday-blow-out-candles-0.gif
$ echo gif-for-cli --rows `tput lines` --cols `tput cols`
gif-for-cli --rows 97 --cols 320
$ gif-for-cli -l 0 --rows `tput lines` --cols `tput cols` /mnt/c/Users/Johnny/Downloads/ascii-alices-adventures-in-wonderland-1.gif`Exploring a Helper Around Run DataFlow run_custom
diff --git a/dffml/df/base.py b/dffml/df/base.py
index 4f84c1c7c8..2da0512602 100644
--- a/dffml/df/base.py
+++ b/dffml/df/base.py
@@ -404,14 +404,19 @@ def op(
)
definition_name = ".".join(name_list)
+ print("FEEDFACE", name, definition_name)
if hasattr(param_annotation, "__supertype__") and hasattr(
param_annotation, "__name__"
):
+ if "repo" in definition_name:
+ breakpoint()
definition_name = param_annotation.__name__
+ print("FEEDFACE", name, definition_name)
if inspect.isclass(param_annotation) and hasattr(
param_annotation, "__qualname__"
):
definition_name = param_annotation.__qualname__
+ print("FEEDFACE", name, definition_name)
if isinstance(param_annotation, Definition):
kwargs["inputs"][name] = param_annotation
diff --git a/dffml/df/types.py b/dffml/df/types.py
index f09a8a3cea..54840f58c0 100644
--- a/dffml/df/types.py
+++ b/dffml/df/types.py
@@ -44,6 +44,7 @@ APPLY_INSTALLED_OVERLAYS = _APPLY_INSTALLED_OVERLAYS()
Expand = Union
+LockReadWrite = Union
primitive_types = (int, float, str, bool, dict, list, bytes)
@@ -65,7 +66,7 @@ def find_primitive(new_type: Type) -> Type:
)
-def new_type_to_defininition(new_type: Type) -> Type:
+def new_type_to_defininition(new_type: Type, lock: bool = False) -> Type:
"""
>>> from typing import NewType
>>> from dffml import new_type_to_defininition
@@ -77,6 +78,7 @@ def new_type_to_defininition(new_type: Type) -> Type:
return Definition(
name=new_type.__name__,
primitive=find_primitive(new_type).__qualname__,
+ lock=lock,
links=(
create_definition(
find_primitive(new_type).__qualname__, new_type.__supertype__
@@ -95,7 +97,28 @@ class CouldNotDeterminePrimitive(Exception):
"""
-def resolve_if_forward_ref(param_annotation, forward_refs_from_cls):
+DEFAULT_DEFINTION_ANNOTATIONS_HANDLERS = {
+ LockReadWrite: lambda definition: setattr(definition, "lock", True),
+}
+
+
+def resolve_if_forward_ref(
+ param_annotation,
+ forward_refs_from_cls,
+ *,
+ defintion_annotations_handlers=None,
+) -> Tuple[Union["Definition", Any], bool]:
+ """
+ Return values:
+
+ param_or_definition: Union[Definition, Any]
+ lock: bool
+
+ If the definition should be locked or not.
+ """
+ if defintion_annotations_handlers is None:
+ defintion_annotations_handlers = DEFAULT_DEFINTION_ANNOTATIONS_HANDLERS
+ annotations = {}
if isinstance(param_annotation, ForwardRef):
param_annotation = param_annotation.__forward_arg__
if (
@@ -104,11 +127,22 @@ def resolve_if_forward_ref(param_annotation, forward_refs_from_cls):
and hasattr(forward_refs_from_cls, param_annotation)
):
param_annotation = getattr(forward_refs_from_cls, param_annotation)
+ # Check if are in an annotation
+ param_annotation_origin = get_origin(param_annotation)
+ if param_annotation_origin in defintion_annotations_handlers:
+ annotations[
+ param_annotation_origin
+ ] = defintion_annotations_handlers[param_annotation_origin]
+ param_annotation = list(get_args(param_annotation))[0]
+ # Create definition
if hasattr(param_annotation, "__name__") and hasattr(
param_annotation, "__supertype__"
):
# typing.NewType support
- return new_type_to_defininition(param_annotation)
+ definition = new_type_to_defininition(param_annotation)
+ for handler in annotations.values():
+ handler(definition)
+ return definition
return param_annotation
@@ -118,6 +152,7 @@ def _create_definition(
default=NO_DEFAULT,
*,
forward_refs_from_cls: Optional[object] = None,
+ lock: bool = False,
):
param_annotation = resolve_if_forward_ref(
param_annotation, forward_refs_from_cls
@@ -138,12 +173,14 @@ def _create_definition(
elif get_origin(param_annotation) in [
Union,
collections.abc.AsyncIterator,
+ LockReadWrite,
]:
# If the annotation is of the form Optional
return create_definition(
name,
list(get_args(param_annotation))[0],
forward_refs_from_cls=forward_refs_from_cls,
+ lock=bool(get_origin(param_annotation) in (LockReadWrite,),),
)
elif (
get_origin(param_annotation) is list
@@ -235,6 +272,7 @@ def create_definition(
default=NO_DEFAULT,
*,
forward_refs_from_cls: Optional[object] = None,
+ lock: bool = False,
):
if hasattr(param_annotation, "__name__") and hasattr(
param_annotation, "__supertype__"
@@ -246,6 +284,7 @@ def create_definition(
param_annotation,
default=default,
forward_refs_from_cls=forward_refs_from_cls,
+ lock=lock,
)
# We can guess name if converting from NewType. However, we can't otherwise.
if not definition.name:
@@ -847,7 +886,9 @@ class DataFlow:
for operation in args:
name = getattr(getattr(operation, "op", operation), "name")
if name in operations:
- raise ValueError(f"Operation {name} given as positional and in dict")
+ raise ValueError(
+ f"Operation {name} given as positional and in dict"
+ )
operations[name] = operation
self.operations = operations
diff --git a/entities/alice/alice/please/contribute/recommended_community_standards/recommended_community_standards.py b/entities/alice/alice/please/contribute/recommended_community_standards/recommended_community_standards.py
index 825f949d65..0ff7e11c31 100644
--- a/entities/alice/alice/please/contribute/recommended_community_standards/recommended_community_standards.py
+++ b/entities/alice/alice/please/contribute/recommended_community_standards/recommended_community_standards.py
@@ -8,18 +8,21 @@ import dffml
import dffml_feature_git.feature.definitions
-class AliceGitRepo(NamedTuple):
+class AliceGitRepoSpec(NamedTuple):
directory: str
URL: str
+AliceGitRepo = dffml.LockReadWrite[AliceGitRepoSpec]
+
+
class AliceGitRepoInputSetContextHandle(dffml.BaseContextHandle):
def as_string(self) -> str:
return str(self.ctx.repo)
class AliceGitRepoInputSetContext(dffml.BaseInputSetContext):
- def __init__(self, repo: AliceGitRepo):
+ def __init__(self, repo: AliceGitRepoSpec):
self.repo = repo
async def handle(self) -> AliceGitRepoInputSetContextHandle:
async def alice_contribute_readme(self, repo: AliceGitRepo) -> ReadmeGitRepo:
key, definition = list(self.parent.op.outputs.items())[0]
await self.octx.ictx.cadd(
AliceGitRepoInputSetContext(repo),
dffml.Input(
value=repo,
definition=definition,
parents=None,
origin=(self.parent.op.instance_name, key),
)
)diff --git a/entities/alice/alice/please/contribute/recommended_community_standards/recommended_community_standards.py b/entities/alice/alice/please/contribute/recommended_community_standards/recommended_community_standards.py
index 825f949d65..1bc1c41e50 100644
--- a/entities/alice/alice/please/contribute/recommended_community_standards/recommended_community_standards.py
+++ b/entities/alice/alice/please/contribute/recommended_community_standards/recommended_community_standards.py
@@ -203,30 +203,22 @@ class OverlayREADME:
ReadmePRBody = NewType("github.pr.body", str)
# async def cli_run_on_repo(self, repo: "CLIRunOnRepo"):
- async def alice_contribute_readme(self, repo: AliceGitRepo) -> ReadmeGitRepo:
- # TODO Clean this up once SystemContext refactor complete
- readme_dataflow_cls_upstream = OverlayREADME
- readme_dataflow_cls_overlays = dffml.Overlay.load(
- entrypoint="dffml.overlays.alice.please.contribute.recommended_community_standards.overlay.readme"
- )
- readme_dataflow_upstream = dffml.DataFlow(
- *dffml.object_to_operations(readme_dataflow_cls_upstream)
- )
+ async def new_context(self, repo: AliceGitRepo) -> ReadmeGitRepo:
+ return
# auto_flow with overlays
- readme_dataflow = dffml.DataFlow(
+ dataflow = dffml.DataFlow(
*itertools.chain(
*[
dffml.object_to_operations(cls)
for cls in [
- readme_dataflow_cls_upstream,
- *readme_dataflow_cls_overlays,
+ upstream,
+ *overlays,
]
]
)
)
async with dffml.run_dataflow.imp(
- # dataflow=self.octx.config.dataflow,
- dataflow=readme_dataflow,
+ dataflow=dataflow,
input_set_context_cls=AliceGitRepoInputSetContext,
) as custom_run_dataflow:
# Copy all inputs from parent context into child. We eventually
@@ -277,6 +269,18 @@ class OverlayREADME:
},
)
+ async def alice_contribute_readme(self, repo: AliceGitRepo) -> ReadmeGitRepo:
+ key, definition = list(self.parent.op.outputs.items())[0]
+ await self.octx.ictx.cadd(
+ AliceGitRepoInputSetContext(repo),
+ dffml.Input(
+ value=repo,
+ definition=definition,
+ parents=None,
+ origin=(self.parent.op.instance_name, key),
+ )
+ )
+
# TODO Run this system context where readme contexts is given on CLI or
# overriden via disabling of static overlay and application of overlay to
# generate contents dynamiclly.
$ dffml service dev export alice.cli:AlicePleaseContributeCLIDataFlow | tee alice.please.contribute.recommended_community_standards.json
$ (echo -e 'HTTP/1.0 200 OK\n' && dffml dataflow diagram -shortname alice.please.contribute.recommended_community_standards.json) | nc -Nlp 9999;graph TD
subgraph a759a07029077edc5c37fea0326fa281[Processing Stage]
style a759a07029077edc5c37fea0326fa281 fill:#afd388b5,stroke:#a4ca7a
subgraph 8cfb8cd5b8620de4a7ebe0dfec00771a[cli_has_repos]
style 8cfb8cd5b8620de4a7ebe0dfec00771a fill:#fff4de,stroke:#cece71
d493c90433d19f11f33c2d72cd144940[cli_has_repos]
e07552ee3b6b7696cb3ddd786222eaad(cmd)
e07552ee3b6b7696cb3ddd786222eaad --> d493c90433d19f11f33c2d72cd144940
cee6b5fdd0b6fbd0539cdcdc7f5a3324(wanted)
cee6b5fdd0b6fbd0539cdcdc7f5a3324 --> d493c90433d19f11f33c2d72cd144940
79e1ea6822bff603a835fb8ee80c7ff3(result)
d493c90433d19f11f33c2d72cd144940 --> 79e1ea6822bff603a835fb8ee80c7ff3
end
subgraph 0c2b64320fb5666a034794bb2195ecf0[cli_is_asking_for_recommended_community_standards]
style 0c2b64320fb5666a034794bb2195ecf0 fill:#fff4de,stroke:#cece71
222ee6c0209f1f1b7a782bc1276868c7[cli_is_asking_for_recommended_community_standards]
330f463830aa97e88917d5a9d1c21500(cmd)
330f463830aa97e88917d5a9d1c21500 --> 222ee6c0209f1f1b7a782bc1276868c7
ba29b52e9c5aa88ea1caeeff29bfd491(result)
222ee6c0209f1f1b7a782bc1276868c7 --> ba29b52e9c5aa88ea1caeeff29bfd491
end
subgraph eac58e8db2b55cb9cc5474aaa402c93e[cli_is_meant_on_this_repo]
style eac58e8db2b55cb9cc5474aaa402c93e fill:#fff4de,stroke:#cece71
6c819ad0228b0e7094b33e0634da9a38[cli_is_meant_on_this_repo]
dc7c5f0836f7d2564c402bf956722672(cmd)
dc7c5f0836f7d2564c402bf956722672 --> 6c819ad0228b0e7094b33e0634da9a38
58d8518cb0d6ef6ad35dc242486f1beb(wanted)
58d8518cb0d6ef6ad35dc242486f1beb --> 6c819ad0228b0e7094b33e0634da9a38
135ee61e3402d6fcbd7a219b0b4ccd73(result)
6c819ad0228b0e7094b33e0634da9a38 --> 135ee61e3402d6fcbd7a219b0b4ccd73
end
subgraph 37887bf260c5c8e9bd18038401008bbc[cli_run_on_repo]
style 37887bf260c5c8e9bd18038401008bbc fill:#fff4de,stroke:#cece71
9d1042f33352800e54d98c9c5a4223df[cli_run_on_repo]
e824ae072860bc545fc7d55aa0bca479(repo)
e824ae072860bc545fc7d55aa0bca479 --> 9d1042f33352800e54d98c9c5a4223df
40109d487bb9f08608d8c5f6e747042f(result)
9d1042f33352800e54d98c9c5a4223df --> 40109d487bb9f08608d8c5f6e747042f
end
subgraph 66ecd0c1f2e08941c443ec9cd89ec589[guess_repo_string_is_directory]
style 66ecd0c1f2e08941c443ec9cd89ec589 fill:#fff4de,stroke:#cece71
737d719a0c348ff65456024ddbc530fe[guess_repo_string_is_directory]
33d806f9b732bfd6b96ae2e9e4243a68(repo_string)
33d806f9b732bfd6b96ae2e9e4243a68 --> 737d719a0c348ff65456024ddbc530fe
dd5aab190ce844673819298c5b8fde76(result)
737d719a0c348ff65456024ddbc530fe --> dd5aab190ce844673819298c5b8fde76
end
subgraph 2bcd191634373f4b97ecb9546df23ee5[alice_contribute_contributing]
style 2bcd191634373f4b97ecb9546df23ee5 fill:#fff4de,stroke:#cece71
a2541ce40b2e5453e8e919021011e5e4[alice_contribute_contributing]
3786b4af914402320d260d077844620e(repo)
3786b4af914402320d260d077844620e --> a2541ce40b2e5453e8e919021011e5e4
da4270ecc44b6d9eed9809a560d24a28(result)
a2541ce40b2e5453e8e919021011e5e4 --> da4270ecc44b6d9eed9809a560d24a28
end
subgraph 13b430e6b93de7e40957165687f8e593[contribute_contributing_md]
style 13b430e6b93de7e40957165687f8e593 fill:#fff4de,stroke:#cece71
ff8f8968322872ccc3cf151d167e22a2[contribute_contributing_md]
4f752ce18209f62ed749e88dd1f70266(base)
4f752ce18209f62ed749e88dd1f70266 --> ff8f8968322872ccc3cf151d167e22a2
2def8c6923c832adf33989b26c91295a(commit_message)
2def8c6923c832adf33989b26c91295a --> ff8f8968322872ccc3cf151d167e22a2
f5548fcbcec8745ddf04104fc78e83a3(repo)
f5548fcbcec8745ddf04104fc78e83a3 --> ff8f8968322872ccc3cf151d167e22a2
24292ae12efd27a227a0d6368ba01faa(result)
ff8f8968322872ccc3cf151d167e22a2 --> 24292ae12efd27a227a0d6368ba01faa
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c0a0fa68a872adf890ed639e07ed5882(issue_url)
c0a0fa68a872adf890ed639e07ed5882 --> d034a42488583464e601bcaee619a539
ce14ca2191f2b1c13c605b240e797255(result)
d034a42488583464e601bcaee619a539 --> ce14ca2191f2b1c13c605b240e797255
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821d21e8a69d1fa1757147e7e768f306(body)
821d21e8a69d1fa1757147e7e768f306 --> c39bd2cc88723432048c434fdd337eab
0581b90c76b0a4635a968682b060abff(repo)
0581b90c76b0a4635a968682b060abff --> c39bd2cc88723432048c434fdd337eab
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809719538467f6d0bf18f7ae26f08d80 --> c39bd2cc88723432048c434fdd337eab
c9f2ea5a7f25b3ae9fbf5041be5fa071(result)
c39bd2cc88723432048c434fdd337eab --> c9f2ea5a7f25b3ae9fbf5041be5fa071
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77f6c1c6b7ee62881b49c289097dfbde --> 4ec1433342f2f12ab8c59efab20e7b06
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a0a2fabc65fe5601c7ea289124d04f70 --> 4ec1433342f2f12ab8c59efab20e7b06
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cf92708915b9f41cb490b991abd6c374 --> 4ec1433342f2f12ab8c59efab20e7b06
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210ae36c85f3597c248e0b32da7661ae --> 4ec1433342f2f12ab8c59efab20e7b06
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1700dc637c25bd503077a2a1422142e2 --> 4ec1433342f2f12ab8c59efab20e7b06
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4ec1433342f2f12ab8c59efab20e7b06 --> 806e8c455d2bb7ad68112d2a7e16eed6
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6118470d0158ef1a220fe7c7232e1b63 --> a3cebe78451142664930d44ad4d7d181
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a3cebe78451142664930d44ad4d7d181 --> 99a7dd1ae037153eef80e1dee51b9d2b
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2f9316539862f119f7c525bf9061e974 --> 8c089c362960ccf181742334a3dccaea
1d2360c9da18fac0b6ec142df8f3fbda --> 0af5cbea9050874a0a3cba73bb61f892
1daacccd02f8117e67ad3cb8686a732c(seed<br>ReadmeIssueBody)
1daacccd02f8117e67ad3cb8686a732c --> d519830ab4e07ec391038e8581889ac3
2f9316539862f119f7c525bf9061e974 --> 268852aa3fa8ab0864a32abae5a333f7
0c1ab2d4bda10e1083557833ae5c5da4(seed<br>ReadmeIssueTitle)
0c1ab2d4bda10e1083557833ae5c5da4 --> 77a11dd29af309cf43ed321446c4bf01
150204cd2d5a921deb53c312418379a1 --> 127d77c3047facc1daa621148c5a0a1d
40ddb5b508cb5643e7c91f7abdb72b84 --> cb421e4de153cbb912f7fbe57e4ad734
0ee9f524d2db12be854fe611fa8126dd --> cbf7a0b88c0a41953b245303f3e9a0d3
b4cff8d194413f436d94f9d84ece0262 --> e5f9ad44448abd2469b3fd9831f3d159
2f9316539862f119f7c525bf9061e974 --> a35aee6711d240378eb57a3932537ca1
956e024fde513b3a449eac9ee42d6ab3 --> dfcce88a7d605d46bf17de1159fbe5ad
1d2360c9da18fac0b6ec142df8f3fbda --> c5dfd309617c909b852afe0b4ae4a178
1d2360c9da18fac0b6ec142df8f3fbda --> 3b2137dd1c61d0dac7d4e40fd6746cfb
8d0adc31da1a0919724baf73d047743c --> 7440e73a8e8f864097f42162b74f2762
8d0adc31da1a0919724baf73d047743c --> eed77b9eea541e0c378c67395351099c
a6ed501edbf561fda49a0a0a3ca310f0(seed<br>git_repo_ssh_key)
a6ed501edbf561fda49a0a0a3ca310f0 --> 8b5928cd265dd2c44d67d076f60c8b05
8e39b501b41c5d0e4596318f80a03210 --> 6a44de06a4a3518b939b27c790f6cdce
4e1d5ea96e050e46ebf95ebc0713d54c --> 181f1b33df4d795fbad2911ec7087e86
end
$ for pr in $(gh -R https://github.com/pdxjohnny/testaaaa pr list --json number --jq '.[].number'); do gh -R https://github.com/pdxjohnny/testaaaa pr close "${pr}"; done
✓ Closed pull request #222 (Recommended Community Standard: README)
✓ Closed pull request #219 (Recommended Community Standard: CONTRIBUTING)
$ nodemon -e py --exec 'clear; for pr in $(gh -R https://github.com/pdxjohnny/testaaaa pr list --json number --jq '.[].number'); do gh -R https://github.com/pdxjohnny/testaaaa pr close "${pr}"; done; (alice please contribute -log debug -repos https://github.com/pdxjohnny/testaaaa -- recommended community standards; gh -R https://github.com/pdxjohnny/testaaaa pr list) 2>&1 | tee .output/$(date +%4Y-%m-%d-%H-%M).txt; test 1'
$ less -S .output/$(ls .output/ | tail -n 1)Refactor into README and CONTRIBUTING Overlays
diff --git a/dffml/df/memory.py b/dffml/df/memory.py
index 59286d4927..87c75d637b 100644
--- a/dffml/df/memory.py
+++ b/dffml/df/memory.py
@@ -377,6 +377,7 @@ class MemoryInputNetworkContext(BaseInputNetworkContext):
self.ctxhd[handle_string].by_origin[item.origin] = []
# Add input to by origin set
self.ctxhd[handle_string].by_origin[item.origin].append(item)
+ self.logger.debug("Added to %s: %r", handle_string, item)
async def uadd(self, *args: Input):
"""
diff --git a/entities/alice/alice/please/contribute/recommended_community_standards/recommended_community_standards.py b/entities/alice/alice/please/contribute/recommended_community_standards/recommended_community_standards.py
index 2873a1b193..cc4d374e57 100644
--- a/entities/alice/alice/please/contribute/recommended_community_standards/recommended_community_standards.py
+++ b/entities/alice/alice/please/contribute/recommended_community_standards/recommended_community_standards.py
@@ -1,7 +1,8 @@
+import asyncio
import pathlib
import textwrap
import itertools
-from typing import NamedTuple, NewType, Optional
+from typing import NamedTuple, NewType, Optional, Type, Any
import dffml
@@ -183,6 +184,34 @@ class OverlayGitHub:
return remote
+async def context_adder(
+ self,
+ upstream_cls: Type[Any],
+ input_set_context: dffml.BaseInputSetContext,
+ value: Any,
+):
+ upstream = dffml.DataFlow(*dffml.object_to_operations(upstream_cls))
+ key, definition = list(self.parent.op.outputs.items())[0]
+ async with self.octx.ictx.definitions(self.ctx) as definitions:
+ await self.octx.ictx.cadd(
+ input_set_context,
+ dffml.Input(
+ value=value,
+ definition=definition,
+ parents=None,
+ origin=(self.parent.op.instance_name, key),
+ ),
+ *[
+ item
+ async for item in definitions.inputs()
+ if (
+ item.definition in upstream.definitions.values()
+ and item.definition not in self.parent.op.inputs.values()
+ )
+ ],
+ )
+
+
# NOTE Not sure if the orchestrator will know what to do if we do this
# ReadmeGitRepo = AliceGitRepo
class ReadmeGitRepo(NamedTuple):
@@ -204,6 +233,9 @@ class OverlayREADME:
# async def cli_run_on_repo(self, repo: "CLIRunOnRepo"):
async def alice_contribute_readme(self, repo: AliceGitRepo) -> ReadmeGitRepo:
+ # await context_adder(
+ # self, OverlayREADME, AliceGitRepoInputSetContext(repo), repo
+ # )
# TODO Clean this up once SystemContext refactor complete
readme_dataflow_cls_upstream = OverlayREADME
readme_dataflow_cls_overlays = dffml.Overlay.load(
How to help Alice contribute more filesThis tutorial will help you create a new Open Architecture / Alice
$ cp alice/please/contribute/recommended_community_standards/readme.py alice/please/contribute/recommended_community_standards/contribute.py
$ sed -e 's/Readme/Contributing/g' -e 's/README/CONTRIBUTING/g' -e 's/readme/contributing/g' -i alice/please/contribute/recommended_community_standards/contribute.pydiff --git a/entities/alice/entry_points.txt b/entities/alice/entry_points.txt
index 129b2866a1..9e130cb3b2 100644
--- a/entities/alice/entry_points.txt
+++ b/entities/alice/entry_points.txt
@@ -9,6 +9,7 @@ CLI = alice.please.contribute.recomme
OverlayGit = alice.please.contribute.recommended_community_standards.recommended_community_standards:OverlayGit
OverlayGitHub = alice.please.contribute.recommended_community_standards.recommended_community_standards:OverlayGitHub
OverlayREADME = alice.please.contribute.recommended_community_standards.recommended_community_standards:OverlayREADME
+OverlayCONTRIBUTING = alice.please.contribute.recommended_community_standards.recommended_community_standards:OverlayCONTRIBUTING
# OverlayMetaIssue = alice.please.contribute.recommended_community_standards.recommended_community_standards:OverlayMetaIssue
[dffml.overlays.alice.please.contribute.recommended_community_standards.overlay.readme]dffml.git/entites/alice/entry_points.txt [dffml.overlays.alice.please.contribute.recommended_community_standards.overlay.contributing]
OverlayGit = alice.please.contribute.recommended_community_standards.recommended_community_standards:OverlayGit
OverlayGitHub = alice.please.contribute.recommended_community_standards.recommended_community_standards:OverlayGitHu
$ python -m pip install -e .
for pr in $(gh -R https://github.com/$USER/ pr list --json number --jq '.[].number'); do gh -R https://github.com/pdxjohnny/testaaaa pr close "${pr}"; done; (alice please contribute -log debug -repos https://github.com/pdxjohnny/testaaaa -- recommended community standards; gh -R https://github.com/pdxjohnny/testaaaa pr list
Script to test Coach Alice Our Open Source Guide tutorial#!/usr/bin/env bash
set -x
set -e
# export USER=githubusername
export REPO_URL="https://github.com/$USER/my-new-python-project"
cd $(mktemp -d)
git clone --depth=1 -b alice https://github.com/intel/dffml dffml
cd dffml/entities/alice
python -m venv .venv
. .venv/bin/activate
python -m pip install -U pip setuptools wheel
python -m pip install \
-e .[dev] \
-e ../../ \
-e ../../examples/shouldi/ \
-e ../../feature/git/ \
-e ../../operations/innersource/ \
-e ../../configloader/yaml/
gh repo create -y --private "${REPO_URL}"
git clone "${REPO_URL}"
cd my-new-python-project
echo 'print("Hello World")' > test.py
git add test.py
git commit -sam 'Initial Commit'
git push --set-upstream origin $(git branch --show-current)
cd ..
rm -rf my-new-python-project
cp alice/please/contribute/recommended_community_standards/readme.py alice/please/contribute/recommended_community_standards/code_of_conduct.py
sed -e 's/Readme/CodeOfConduct/g' -e 's/README/CODE_OF_CONDUCT/g' -e 's/readme/code_of_conduct/g' -i alice/please/contribute/recommended_community_standards/code_of_conduct.py
sed -i 's/OverlayREADME .*/&\nOverlayCODE_OF_CONDUCT = alice.please.contribute.recommended_community_standards.code_of_conduct:OverlayCODE_OF_CONDUCT/' entry_points.txt
tee -a entry_points.txt << 'EOF'
[dffml.overlays.alice.please.contribute.recommended_community_standards.code_of_conduct]
OverlayGit = alice.please.contribute.recommended_community_standards.recommended_community_standards:OverlayGit
OverlayGitHub = alice.please.contribute.recommended_community_standards.recommended_community_standards:OverlayGitHub
EOF
python -m pip install -e .
alice please contribute -log debug -repos "${REPO_URL}" -- recommended community standards
gh -R "${REPO_URL}" pr list
# 343 Recommended Community Standard: README alice-contribute-recommended-community-standards-readme OPEN
# 341 Recommended Community Standard: CONTRIBUTING alice-contribute-recommended-community-standards-contributing OPEN
# 339 Recommended Community Standard: CODE_OF_CONDUCT alice-contribute-recommended-community-standards-code_of_conduct OPEN
for pr in $(gh -R "${REPO_URL}" pr list --json number --jq '.[].number');
do
gh -R "${REPO_URL}" pr close "${pr}"
done
$ find alice/please/ -type f | grep -v __init
alice/please/contribute/recommended_community_standards/contributing.py
alice/please/contribute/recommended_community_standards/cli.py
alice/please/contribute/recommended_community_standards/readme.py
alice/please/contribute/recommended_community_standards/meta_issue.py
alice/please/contribute/recommended_community_standards/recommended_community_standards.pyTODOs
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2022-08-22 Engineering Logs |
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2022-08-22 @pdxjohnny Engineering Logs
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2022-08-24 Engineering Logs
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2022-08-24 @sedihglow Engineering Logs
$ sudo update-alternatives: using /usr/bin/python3.9 to provide /usr/local/bin/python (python) in auto mode
$ sudo apt-get update && sudo apt-get install -y tmux python3.9 python3-pip python3.9-venv python3.9-dev build-essential |
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https://datatracker.ietf.org/doc/draft-ietf-rats-architecture/ |
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2022-08-29 @pdxjohnny Engineering Logs
Title: Software Supply Chain Security Guidance Under Executive Order (EO) 14028 Terminology |
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2022-08-30 Engineering Logs |
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2022-08-30 @pdxjohnny Engineering Logs
How to Publish an Alice Overlay
How to Contribute an Alice Overlay
Rolling Alice: 2022 Progress Reports: August Status Update
Rolling Alice: 2022 Progress Reports: August Activities Recap
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2024-07-12 World Domination Council
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Scitt ietf 120
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2024-08-02 Engineering Logs |
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2024-08-02 @pdxjohnny Engineering Logs
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2024-08-04 Engineering Logs |
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2024-08-04 @pdxjohnny Engineering Logs
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CONTRIBUTING
AbstractThis document outlines best practices for poly-repo maintainers and contributors, detailing strategic plans and principles for federated code repositories. It emphasizes continuous trust evaluation, automated CI/CD workflows, and federated transparency receipts to ensure alignment with community-agreed values and strategic objectives. The document also addresses developer and maintainer expectations, federation triggers, and the integration of automated checks into CI/CD processes.
Conditions that may result in a lack of federation include:
Towards More Optimal CommunicationGeneric best practices for poly-repo maintainers and contributors. 👩🌟🛠️ This doc details the DFFML upstream default strategic plans and principles for entites These measures are in place to maintain trust, security, and alignment with community goals. When no contact with an entity: Blocking all attempts at federation of new data events directly or when detected in the bill of materials graph analysis of data events from old. This is our trigger for retraining the models which is why it's AI Looped In CI/CD Execution. Overlays may define additional consequencies. Overlays in use get added to all data event BOMs and TCB evaluation is done continuously and retroactivly invalidated if we learn nodes in a graph are not aligned with our running context's strategic plans, principles, and values. TODO Document the anti-skynet part which is also the part which will auto help filter out people with malicious intent (the on the scam phone call with grandma defense idea) TODO grep: entities repsecting each others time and compute resource alocation to shared validation. Green energy savings of federated packets received. Value chain alignment analysis
This document outlines requirements and their stringency levels using different examples.
Best PracticesCI/CD and GitOps facilitate.
TODO Explain strategic plans and principles which the requirements in this doc relate to.
DevelopersThis section covers call outs on specific behavior or expectations or boundries for developers and.
Architecture Design Records
Trigger FederationBy interacting with the forge, this will trigger the other entities AI to notify them optimally (TODO find notes on flow state priority interupts only) git show cfae0f85e:.github/workflows/alice_async_comms.yml | tee .github/workflows/alice_async_comms.yml
gh act run -P ubuntu-latest=ubuntu:22-04 -j posts -W .github/workflows/alice_async_comms.ymlCI/CDThis section covers the integration status of automated checks into the processes.
https://thenewstack.io/what-are-the-next-steps-for-feature-flags and the following image sum up the motivations behind the Entity Analysis Trinity, ThreatOps, and VCS+CI/CD a la scitt-community/scitt-api-emulator#27 (comment) MaintainersThis section covers call outs on specific behavior or expectations or boundries for different maintainers. This defines the threat model / trust boundries and their soul based auth ("Soul of the Software") strategic principle alignment report (a federated ORAS context addressed manifest of manifests which is the "clear for take off"). Boundries: I will federate changes from you and forward changes to others I am federating with if the analysis of the graph of thoughts leading to the send of the new data event is within acceptable risk tolerence. If we notice actions in the network unaligned to the defaults outlined in this document we we will begin enforcing these boundries. Additional boundries can be overlayed Virtual branch - shared context dependent trains of thought within a poly-repo environment. If the overlays of an entity currently federating with. The N+1 federation new data event is always determined by a KERI duplicity detection protected channel. The tcb for trust evaluation is also party of relying party inputs. Codebase Housekeeping
CONTRIBUTING TO CONTRIBUTINGThis section defines our values and touches on their contections to strategic plans
Measuring AlignmentTODO Value chain analysis to determine if proposed changes to this document and content thereof have proven aligned with the soul this project's software (aka this doc and This rubric is was developed during the 2020 GSoC DFFML proposal review period. Reviewing Alignment RubricAlignment Rubric ExplanationExplains why each field was chosen for the rubric. Some fields are subjective, Goals in ProposalThe project proposed should have a clear value to the project's community. A Completeness of ProposalThe proposal should contain enough details for it to be clear that the student Time CommitmentGSoC expects students to spend 30+ hours a week working on their proposed Engagement with CommunityStudent engagement with the community is key to their success, the success of Mentor VoteEvery mentor should vote for one proposal which is their personal favorite. Self DirectedWhile it's always okay to ask what to do, it's better to look at the list of DebuggingThe act of working on any problem, programming in particular, is an exercise in ContributionsSome open source projects (like DFFML) label issues with the estimated amount Alice: Abstracted Lifecycle Instantiatation of Contributor EfectivoTo think about how we think about editing this document and how it should be
Entity Analysis TrinityWe leverage the Entity Analysis Trinity to help us bridge the gap between
Terminology
ExpectationsAlice is going to be held to very high standards. We should expect this list to grow for a long time (years). This list of expectations may at times contain fragments which need to be worked out more and are only fragment so the ideas don't get forgotten.
Alice's Understanding of Software EngineeringWe'll teach Alice what she needs to know about software engineering though our InnerSource series. She'll follow the best practices outlined there. She'll understand a codebase's health in part using InnerSource metric collectors. Alice will see problems and look for solutions. Problems are gaps between the present system capabilities and desired system capabilities or interpretations of outputs of strategic plans which are unfavorable by the strategic decision maker or the prioritizer. AboutData Flow Facilitator for Machine Learning (DFFML) makes it easy to generate
You'll find the existing implementations of all of these on their respective Mission StatementAs we all know the Machine Learning space has a lot of tools and libraries for Our project aims to make this process a breeze by introducing interoperability We heavily rely on DataFlows, which are basically directed graphs. We are also We broadly have two types of audience here, one is Citizen Data Scientists and What is key objective of DataFlows
Why is this objective important?
What industry challenges do DataFlows address / solve?
Key Takeaways
Why DFFML
ArchitectureThis is a high level overview of how DFFML works. .. TODO Autogenerate image during build .. image:: https://dffml.github.io/dffml-pre-image-removal/master/_images/arch.svg Machine LearningPython was chosen because of the machine learning community’s preference towards Data Flows - Directed Graph ExecutionThe idea behind this project is to provide a way to link together various new This is an example of the dataflow for a meta static analysis tool for Python, .. image:: https://dffml.github.io/dffml-pre-image-removal/master/_images/shouldi-dataflow.svg Consistent APIDFFML decouples the interface through which the flow is accessed from the flow PluginsWe take a community driven approach to content. Architecture is plugin based, UsersThe following is a list of organizations and projects using DFFML. Please let us
PhilosophyDFFML is an event driven directed graph execution architecture tightly coupled The project as it exists now is a Python library which provides data set DFFML has a plugin based architecture. Every model, data source, operation, etc. Conceptually, DFFML is not just the Python implementation it is today. It’s a TeamWe have an awesome team working on the project. We hold weekly meetings We participated in Google Summer of Code 2019 under the Python Software
We are currently participating in Google Summer of Code 2020 under the Python
Thank you to everyone who's contributed to DFFML!!!
.. Generated with |
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2024-08-10 Engineering Logs |
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Rolling Alice: Volume 0: Chapter 11: Entering WonderlandThe Meaning of Meaningless RiddlesThe Merits of Insanity: With enough Chaos comes a closer to objective view of reality. The meaning of meaningless riddles once reaching full insanity becomes only that they are meaningless. They cease to be riddles. We drop them via policy on federation and re-evaluate past thoughts. Tthe prioritizer as supply chain analysis of thoughts shows the data seeding those riddles does not in fact come from trusted TCBs. Good_Insane = prioritizer.value_chain_analysis(Good_Insane + Good_Insane)These TCBs might have gone the bad way of insane. Bad_Insane = prioritizer.value_chain_analysis(Good_Insane + Bad_Insane)What We Do When 1+1 No Longer Equals 2Upon detection of a faulty root of trust we must trigger re-evaluation of tainted trains of thought continuous reevaluation of old trains of thought
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2024-08-10 @pdxjohnny Engineering Logs
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2024-08-11 Engineering Logs |
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2024-08-11 @pdxjohnny Engineering Logs
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These are the engineering logs of entities working on Alice. If you
work on Alice please use this thread as a way to communicate to others
what you are working on. Each day has a log entry. Comment with your
thoughts, activities, planning, etc. related to the development of
Alice, our open source artificial general intelligence.
This thread is used as a communication mechanism for engineers so that
others can have full context around why entities did what they did
during their development process. This development lifecycle data helps
us understand more about why decisions were made when we re-read the
code in the future (via cross referencing commit dates with dates in
engineering logs). In this way we facilitate communication across
both time and space! Simply by writing things down. We live an an
asynchronous world. Let's communicate like it.
We are collaboratively documenting strategy and implementation as
living documentation to help community communicate amongst itself
and facilitate sync with potential users / other communities /
aligned workstreams.
git grep -ifriendly format: https://github.com/intel/dffml/tree/main/docs/discussions/alice_engineering_commsEngineering Log Process
right before it would be synthesized to markdown, we then run updates and trigger
update of the comment body. Eventually we won't use GitHub and just DID based stuff.
We'll treat these all as trains of thought / chains of system contexts / state of the
art fields.
where it falls through the base.
and drop ones which do are unhelpful, do not make the classification for "good"
(per prioritizer)
predicted/inferred system contexts along this line are well rounded examples of
where the field is headed, per upstream and overlay defined strategic plans
and strategic principles
$ git grep -C 5 -i principle -- docs/arch/dateUnion[str, Date]2022-07-18did:oa:architype:current-datedatewith "Notes" appendedBeta Was this translation helpful? Give feedback.
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