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Copy account config schema files from backend to colive alongside the integrations#24259

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nmuesch wants to merge 2 commits into
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nick/account_config_schema_migration
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Copy account config schema files from backend to colive alongside the integrations#24259
nmuesch wants to merge 2 commits into
masterfrom
nick/account_config_schema_migration

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@nmuesch

@nmuesch nmuesch commented Jun 30, 2026

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What does this PR do?

This PR moves the account config schema definitions from the backend to live alongside the integrations for:

  • anthropic-compliance-logs
  • anthropic-usage-and-costs
  • proofpoint-on-demand
  • proofpoint-tap

Motivation

Review checklist (to be filled by reviewers)

  • Feature or bugfix MUST have appropriate tests (unit, integration, e2e)
  • Add qa/required if this PR needs QA validation, or qa/skip-qa if it does not. Exactly one of the two is required.
  • If you need to backport this PR to another branch, you can add the backport/<branch-name> label to the PR and it will automatically open a backport PR once this one is merged

@chatgpt-codex-connector chatgpt-codex-connector Bot left a comment

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💡 Codex Review

Here are some automated review suggestions for this pull request.

Reviewed commit: fdb3cf1e18

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"required": true,
"password": {}
}
]

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P2 Badge Add the missing PoD logs dataflow binding

Because proofpoint_on_demand/assets/dataflows.yaml declares the granular proofpoint-on-demand-logs dataflow, this account config needs a matching dataflow_config entry (as the other granular account configs in this repo do). Without any dataflow_id binding here, the account-config consumer has no way to enable or instantiate the Proofpoint On-Demand logs flow, so users can save credentials through this schema without starting log ingestion.

Useful? React with 👍 / 👎.

"default": true
}
}
]

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P2 Badge Add the missing TAP logs dataflow binding

Because proofpoint_tap/assets/dataflows.yaml declares the granular proofpoint-tap-logs dataflow, this account config needs a matching dataflow_config entry (as the other granular account configs in this repo do). Without any dataflow_id binding here, the account-config consumer has no way to enable or instantiate the Proofpoint TAP logs flow, so users can save credentials through this schema without starting log ingestion.

Useful? React with 👍 / 👎.

@datadog-datadog-prod-us1-2

datadog-datadog-prod-us1-2 Bot commented Jun 30, 2026

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Pipelines

Fix all issues with BitsAI

⚠️ Warnings

🚦 1 Pipeline job failed

Validate repository | Run Validations / Validate   View in Datadog   GitHub Actions

Useful? React with 👍 / 👎

This comment will be updated automatically if new data arrives.
🔗 Commit SHA: 652f70b | Docs | Datadog PR Page | Give us feedback!

@nathanmadams nathanmadams left a comment

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Claude comments seem legit though...

@evazorro evazorro self-assigned this Jun 30, 2026

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Documentation got tagged as a reviewer, but I don't think there's anything here we actually need to review. Approving to unblock you

@evazorro evazorro removed their assignment Jun 30, 2026
@nmuesch nmuesch added the assets/no-dry-run Run asset publishing github checks in staging label Jun 30, 2026
@dd-octo-sts

dd-octo-sts Bot commented Jun 30, 2026

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Validation Report

Validation Description Status
qa-label Validate the pull request declares whether it needs QA for the next Agent release

Run ddev validate all changed --fix to attempt to auto-fix supported validations.

Passed validations (20)
Validation Description Status
agent-reqs Verify check versions match the Agent requirements file
ci Validate CI configuration and code coverage settings
codeowners Validate every integration has a CODEOWNERS entry
config Validate default configuration files against spec.yaml
dep Verify dependency pins are consistent and Agent-compatible
http Validate integrations use the HTTP wrapper correctly
imports Validate check imports do not use deprecated modules
integration-style Validate check code style conventions
jmx-metrics Validate JMX metrics definition files and config
labeler Validate PR labeler config matches integration directories
legacy-signature Validate no integration uses the legacy Agent check signature
license-headers Validate Python files have proper license headers
licenses Validate third-party license attribution list
metadata Validate metadata.csv metric definitions
models Validate configuration data models match spec.yaml
openmetrics Validate OpenMetrics integrations disable the metric limit
package Validate Python package metadata and naming
readmes Validate README files have required sections
saved-views Validate saved view JSON file structure and fields
version Validate version consistency between package and changelog

View full run

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3 participants