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68 Commits

Author SHA1 Message Date
Dane Urban
2036847a2d Lookup by name 2026-02-27 12:40:18 -08:00
Dane Urban
9ff1ac862e . 2026-02-27 12:35:38 -08:00
Dane Urban
e4179629ae Test 2026-02-27 10:29:10 -08:00
Dane Urban
4077c20def Add python tool to default persona 2026-02-27 10:14:53 -08:00
Yuhong Sun
4d256c5666 chore: remove instance of Assistant from frontend (#8848)
Co-authored-by: Nik <nikolas.garza5@gmail.com>
2026-02-27 04:22:28 +00:00
Danelegend
2e53496f46 feat: Code interpreter admin page visuals (#8729) 2026-02-27 04:01:02 +00:00
acaprau
63a206706a docs(best practices): Add comment about import-time side effects and main.py files (#8820)
Co-authored-by: greptile-apps[bot] <165735046+greptile-apps[bot]@users.noreply.github.com>
2026-02-27 01:29:56 +00:00
Nikolas Garza
28427b3e5f fix(metrics): restore default HTTP request counter and histogram metrics (#8842) 2026-02-27 00:53:22 +00:00
Justin Tahara
3cafcd8a5e chore(llm): add OpenRouter nightly tests (#8818) 2026-02-26 23:54:25 +00:00
Justin Tahara
f2c50b7bb5 chore(llm): add Ollama nightly tests (#8817) 2026-02-26 23:28:40 +00:00
Jamison Lahman
6b28c6bbfc fix(fe): Search Actions popover has consistent hover states (#8826) 2026-02-26 23:16:09 +00:00
Justin Tahara
226e801665 chore(llm): add Azure nightly tests (#8816) 2026-02-26 23:05:03 +00:00
Justin Tahara
be13aa1310 chore(llm): add Vertex AI nightly tests (#8813) 2026-02-26 22:38:05 +00:00
Nikolas Garza
45d38c4906 feat(metrics): add per-tenant Prometheus metrics (#8822) 2026-02-26 22:37:35 +00:00
Danelegend
8aab518532 fix: Admin page modal centering excludes sidebar (#8823) 2026-02-26 22:27:58 +00:00
Nikolas Garza
da6ce10e86 test(scim): add integration tests for SCIM token management (#8819) 2026-02-26 22:22:16 +00:00
Nikolas Garza
aaf8253520 fix(ee): show subscription text on expired access page for cloud users (#8804) 2026-02-26 22:15:44 +00:00
Jamison Lahman
7c7f81b164 chore(fe): add feature agent to editor page (#8814) 2026-02-26 22:12:20 +00:00
Justin Tahara
2d4a3c72e9 chore(llm): Nightly Bedrock Tests (#8812) 2026-02-26 22:10:31 +00:00
acaprau
7c51712018 fix(db ssl): Remove import-time side effect of creating SSL context if IAM enabled (#8811) 2026-02-26 21:37:13 +00:00
Evan Lohn
aa5614695d feat: sharepoint tenant avoid org get (#8802) 2026-02-26 21:28:56 +00:00
Jamison Lahman
8d7255d3c4 chore(fe): support featured agents w/o being public (#8809) 2026-02-26 21:16:23 +00:00
Evan Lohn
d403498f48 feat: context injection unification (#8687) 2026-02-26 21:11:19 +00:00
dependabot[bot]
9ef3095c17 chore(deps): bump pypdf from 6.6.2 to 6.7.3 (#8808)
Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
Co-authored-by: Jamison Lahman <jamison@lahman.dev>
2026-02-26 20:42:01 +00:00
Justin Tahara
a39e93a0cb chore(llm): LLM Integration Tests Generic Setup (#8803) 2026-02-26 19:59:19 +00:00
Jamison Lahman
46d73cdfee fix(docker): prefer user runtime docker socket (#8799) 2026-02-26 10:55:44 -08:00
Raunak Bhagat
1e04ce78e0 feat(opal): add Hoverable compound component (#8798) 2026-02-26 17:08:53 +00:00
Jamison Lahman
f9b81c1725 feat(agents): share agents with labels or featured (#8742)
Co-authored-by: cubic-dev-ai[bot] <191113872+cubic-dev-ai[bot]@users.noreply.github.com>
2026-02-26 16:21:05 +00:00
SubashMohan
3bc1b89fee fix(memory): timeline UI alignment issues and highlighting issue (#8753) 2026-02-26 08:46:43 +00:00
Nikolas Garza
01743d99d4 fix(billing): handle manual license users without Stripe subscription (#8787) 2026-02-26 08:07:14 +00:00
acaprau
092c1db7e0 chore(opensearch): Allow programatic schema updates (#8794) 2026-02-26 07:49:56 +00:00
acaprau
40ac0d859a chore(opensearch): OpenSearchClient implements context manager, also closes on del (#8781)
Co-authored-by: greptile-apps[bot] <165735046+greptile-apps[bot]@users.noreply.github.com>
2026-02-26 07:38:16 +00:00
SubashMohan
929e58361f fix: resolve OAuth token manager using masked secrets (#8673) 2026-02-26 07:06:51 +00:00
SubashMohan
6d472df7c5 fix(timeline): Fix double-collapse and improve tool status messages (#8751) 2026-02-26 07:05:48 +00:00
acaprau
cfa7acd904 chore(opensearch): MT cloud should verify index on document index init, and do cluster setup once at start (#8776) 2026-02-26 06:42:06 +00:00
Danelegend
5c5a6f943b chore: deprecate llm provider fields (#8783) 2026-02-26 05:27:28 +00:00
Evan Lohn
d04128b8b1 fix: sharepoint unquote (#8786) 2026-02-26 03:38:46 +00:00
Nikolas Garza
bbebdf8f78 feat(scim): Entra ID enterprise extension support [3/3] (#8747) 2026-02-26 02:32:04 +00:00
Nikolas Garza
161279a2d5 feat(scim): field round-tripping for IdP attribute preservation [2/3] (#8746) 2026-02-26 02:01:13 +00:00
Jamison Lahman
e5ebb45a20 chore(devtools): upgrade ods: v0.6.1->v0.6.2 (#8773) 2026-02-26 01:57:25 +00:00
Evan Lohn
320ba9cb1b refactor: filter by persona id during search (#8683) 2026-02-26 01:51:00 +00:00
Nikolas Garza
f2e8cb3114 fix(slack): sanitize HTML tags and broken citation links in bot responses (#8767) 2026-02-26 01:47:44 +00:00
Nikolas Garza
43054a28ec feat(scim): SCIM 2.0 protocol compliance fixes [1/3] (#8745) 2026-02-26 01:33:08 +00:00
Justin Tahara
dc74aa7b1f chore(llm): Add OpenAI Integration Tests (#8711) 2026-02-26 00:58:28 +00:00
Raunak Bhagat
bd773191c2 feat(opal): add more icons (#8778) 2026-02-26 00:38:54 +00:00
Evan Lohn
66dbff41e6 refactor: extend sync mechanism to persona files (#8682) 2026-02-26 00:32:30 +00:00
roshan
1dcffe38bc fix: Invoke generate_agents_md.py in K8s to populate knowledge sources (#8768)
Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-26 00:04:10 +00:00
Evan Lohn
c35e883564 refactor: persona id in vector db by indexing (#8681) 2026-02-25 22:51:57 +00:00
Jamison Lahman
fefcd58481 chore(devtools): ods web to run web/package.json scripts (#8766)
Co-authored-by: cubic-dev-ai[bot] <191113872+cubic-dev-ai[bot]@users.noreply.github.com>
2026-02-25 14:05:29 -08:00
Jamison Lahman
bdc89d9e3f chore(fe): opal button implements responsiveHideText (#8764) 2026-02-25 21:05:08 +00:00
Evan Lohn
f4d777b80d refactor: persona id in vector db (#8680) 2026-02-25 20:42:38 +00:00
acaprau
da4d57b5e3 chore(devtools): Make AGENTS.md reference contributing_guides/best_practices.md (#8760)
Co-authored-by: greptile-apps[bot] <165735046+greptile-apps[bot]@users.noreply.github.com>
2026-02-25 20:27:12 +00:00
Evan Lohn
dcdcd067bd fix: drive 403 rate limits (#8762) 2026-02-25 20:12:36 +00:00
Evan Lohn
8b15a29723 feat: slab connector validation (#8758) 2026-02-25 20:00:42 +00:00
Danelegend
763853674f feat(ci): Add preview modal for data types (#8752) 2026-02-25 19:52:19 +00:00
Jamison Lahman
429b6f3465 fix(fe): modal aligning with detached element after navigation (#8676) 2026-02-25 19:33:07 +00:00
Danelegend
37d5be1b40 feat: python tool not added when no code interpretter server (#8749) 2026-02-25 19:17:42 +00:00
Jamison Lahman
8ab99dbb06 chore(fe): add hover style to AgentCard (#8689) 2026-02-25 19:08:00 +00:00
Jamison Lahman
52799e9c7a fix(fe): middle align human chat message text (#8756) 2026-02-25 19:00:01 +00:00
Jamison Lahman
aef009cc97 chore(fe): foldable buttons display text via tooltip when disabled (#8735) 2026-02-25 18:39:53 +00:00
Evan Lohn
18d1ea1770 fix: sharepoint driveItem perm sync (#8698) 2026-02-25 18:29:26 +00:00
Bo-Onyx
f336ad00f4 fix(user invitation): failed but no warning. (#8731)
Co-authored-by: Bo Yang <boyang@Bos-MacBook-Pro.local>
2026-02-25 17:23:39 +00:00
SubashMohan
0558e687d9 fix: persist onboarding dismissal in localStorage with user-specific keys (#8674) 2026-02-25 06:22:17 +00:00
roshan
784a99e24a updated demo data (#8748) 2026-02-24 19:59:46 -08:00
Justin Tahara
da1f5a11f4 chore(cherry-pick): Alerting on Failed Cherry-Picks (#8744) 2026-02-25 02:09:19 +00:00
Justin Tahara
5633805890 chore(devtools): Upgrade ods from 0.6.0 -> 0.6.1 (#8743) 2026-02-25 02:01:20 +00:00
Danelegend
0817b45ae1 feat: Get code interpreter config route (#8739) 2026-02-25 01:49:30 +00:00
Justin Tahara
af0e4bdebc fix(slack): Cleaning up URL Links (#8569) 2026-02-25 01:42:12 +00:00
216 changed files with 10120 additions and 2178 deletions

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name: "Build Backend Image"
description: "Builds and pushes the backend Docker image with cache reuse"
inputs:
runs-on-ecr-cache:
description: "ECR cache registry from runs-on/action"
required: true
ref-name:
description: "Git ref name used for cache suffix fallback"
required: true
pr-number:
description: "Optional PR number for cache suffix"
required: false
default: ""
github-sha:
description: "Commit SHA used for cache keys"
required: true
run-id:
description: "GitHub run ID used in output image tag"
required: true
docker-username:
description: "Docker Hub username"
required: true
docker-token:
description: "Docker Hub token"
required: true
docker-no-cache:
description: "Set to 'true' to disable docker build cache"
required: false
default: "false"
runs:
using: "composite"
steps:
- name: Format branch name for cache
id: format-branch
shell: bash
env:
PR_NUMBER: ${{ inputs.pr-number }}
REF_NAME: ${{ inputs.ref-name }}
run: |
if [ -n "${PR_NUMBER}" ]; then
CACHE_SUFFIX="${PR_NUMBER}"
else
# shellcheck disable=SC2001
CACHE_SUFFIX=$(echo "${REF_NAME}" | sed 's/[^A-Za-z0-9._-]/-/g')
fi
echo "cache-suffix=${CACHE_SUFFIX}" >> "$GITHUB_OUTPUT"
- name: Set up Docker Buildx
uses: docker/setup-buildx-action@8d2750c68a42422c14e847fe6c8ac0403b4cbd6f # ratchet:docker/setup-buildx-action@v3
- name: Login to Docker Hub
uses: docker/login-action@c94ce9fb468520275223c153574b00df6fe4bcc9 # ratchet:docker/login-action@v3
with:
username: ${{ inputs.docker-username }}
password: ${{ inputs.docker-token }}
- name: Build and push Backend Docker image
uses: docker/build-push-action@263435318d21b8e681c14492fe198d362a7d2c83 # ratchet:docker/build-push-action@v6
with:
context: ./backend
file: ./backend/Dockerfile
push: true
tags: ${{ inputs.runs-on-ecr-cache }}:nightly-llm-it-backend-${{ inputs.run-id }}
cache-from: |
type=registry,ref=${{ inputs.runs-on-ecr-cache }}:backend-cache-${{ inputs.github-sha }}
type=registry,ref=${{ inputs.runs-on-ecr-cache }}:backend-cache-${{ steps.format-branch.outputs.cache-suffix }}
type=registry,ref=${{ inputs.runs-on-ecr-cache }}:backend-cache
type=registry,ref=onyxdotapp/onyx-backend:latest
cache-to: |
type=registry,ref=${{ inputs.runs-on-ecr-cache }}:backend-cache-${{ inputs.github-sha }},mode=max
type=registry,ref=${{ inputs.runs-on-ecr-cache }}:backend-cache-${{ steps.format-branch.outputs.cache-suffix }},mode=max
type=registry,ref=${{ inputs.runs-on-ecr-cache }}:backend-cache,mode=max
no-cache: ${{ inputs.docker-no-cache == 'true' }}

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name: "Build Integration Image"
description: "Builds and pushes the integration test image with docker bake"
inputs:
runs-on-ecr-cache:
description: "ECR cache registry from runs-on/action"
required: true
ref-name:
description: "Git ref name used for cache suffix fallback"
required: true
pr-number:
description: "Optional PR number for cache suffix"
required: false
default: ""
github-sha:
description: "Commit SHA used for cache keys"
required: true
run-id:
description: "GitHub run ID used in output image tag"
required: true
docker-username:
description: "Docker Hub username"
required: true
docker-token:
description: "Docker Hub token"
required: true
runs:
using: "composite"
steps:
- name: Set up Docker Buildx
uses: docker/setup-buildx-action@8d2750c68a42422c14e847fe6c8ac0403b4cbd6f # ratchet:docker/setup-buildx-action@v3
- name: Login to Docker Hub
uses: docker/login-action@c94ce9fb468520275223c153574b00df6fe4bcc9 # ratchet:docker/login-action@v3
with:
username: ${{ inputs.docker-username }}
password: ${{ inputs.docker-token }}
- name: Format branch name for cache
id: format-branch
shell: bash
env:
PR_NUMBER: ${{ inputs.pr-number }}
REF_NAME: ${{ inputs.ref-name }}
run: |
if [ -n "${PR_NUMBER}" ]; then
CACHE_SUFFIX="${PR_NUMBER}"
else
# shellcheck disable=SC2001
CACHE_SUFFIX=$(echo "${REF_NAME}" | sed 's/[^A-Za-z0-9._-]/-/g')
fi
echo "cache-suffix=${CACHE_SUFFIX}" >> "$GITHUB_OUTPUT"
- name: Build and push integration test image with Docker Bake
shell: bash
env:
RUNS_ON_ECR_CACHE: ${{ inputs.runs-on-ecr-cache }}
TAG: nightly-llm-it-${{ inputs.run-id }}
CACHE_SUFFIX: ${{ steps.format-branch.outputs.cache-suffix }}
HEAD_SHA: ${{ inputs.github-sha }}
run: |
docker buildx bake --push \
--set backend.cache-from=type=registry,ref=${RUNS_ON_ECR_CACHE}:backend-cache-${HEAD_SHA} \
--set backend.cache-from=type=registry,ref=${RUNS_ON_ECR_CACHE}:backend-cache-${CACHE_SUFFIX} \
--set backend.cache-from=type=registry,ref=${RUNS_ON_ECR_CACHE}:backend-cache \
--set backend.cache-from=type=registry,ref=onyxdotapp/onyx-backend:latest \
--set backend.cache-to=type=registry,ref=${RUNS_ON_ECR_CACHE}:backend-cache-${HEAD_SHA},mode=max \
--set backend.cache-to=type=registry,ref=${RUNS_ON_ECR_CACHE}:backend-cache-${CACHE_SUFFIX},mode=max \
--set backend.cache-to=type=registry,ref=${RUNS_ON_ECR_CACHE}:backend-cache,mode=max \
--set integration.cache-from=type=registry,ref=${RUNS_ON_ECR_CACHE}:integration-cache-${HEAD_SHA} \
--set integration.cache-from=type=registry,ref=${RUNS_ON_ECR_CACHE}:integration-cache-${CACHE_SUFFIX} \
--set integration.cache-from=type=registry,ref=${RUNS_ON_ECR_CACHE}:integration-cache \
--set integration.cache-to=type=registry,ref=${RUNS_ON_ECR_CACHE}:integration-cache-${HEAD_SHA},mode=max \
--set integration.cache-to=type=registry,ref=${RUNS_ON_ECR_CACHE}:integration-cache-${CACHE_SUFFIX},mode=max \
--set integration.cache-to=type=registry,ref=${RUNS_ON_ECR_CACHE}:integration-cache,mode=max \
integration

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name: "Build Model Server Image"
description: "Builds and pushes the model server Docker image with cache reuse"
inputs:
runs-on-ecr-cache:
description: "ECR cache registry from runs-on/action"
required: true
ref-name:
description: "Git ref name used for cache suffix fallback"
required: true
pr-number:
description: "Optional PR number for cache suffix"
required: false
default: ""
github-sha:
description: "Commit SHA used for cache keys"
required: true
run-id:
description: "GitHub run ID used in output image tag"
required: true
docker-username:
description: "Docker Hub username"
required: true
docker-token:
description: "Docker Hub token"
required: true
runs:
using: "composite"
steps:
- name: Format branch name for cache
id: format-branch
shell: bash
env:
PR_NUMBER: ${{ inputs.pr-number }}
REF_NAME: ${{ inputs.ref-name }}
run: |
if [ -n "${PR_NUMBER}" ]; then
CACHE_SUFFIX="${PR_NUMBER}"
else
# shellcheck disable=SC2001
CACHE_SUFFIX=$(echo "${REF_NAME}" | sed 's/[^A-Za-z0-9._-]/-/g')
fi
echo "cache-suffix=${CACHE_SUFFIX}" >> "$GITHUB_OUTPUT"
- name: Set up Docker Buildx
uses: docker/setup-buildx-action@8d2750c68a42422c14e847fe6c8ac0403b4cbd6f # ratchet:docker/setup-buildx-action@v3
- name: Login to Docker Hub
uses: docker/login-action@c94ce9fb468520275223c153574b00df6fe4bcc9 # ratchet:docker/login-action@v3
with:
username: ${{ inputs.docker-username }}
password: ${{ inputs.docker-token }}
- name: Build and push Model Server Docker image
uses: docker/build-push-action@263435318d21b8e681c14492fe198d362a7d2c83 # ratchet:docker/build-push-action@v6
with:
context: ./backend
file: ./backend/Dockerfile.model_server
push: true
tags: ${{ inputs.runs-on-ecr-cache }}:nightly-llm-it-model-server-${{ inputs.run-id }}
cache-from: |
type=registry,ref=${{ inputs.runs-on-ecr-cache }}:model-server-cache-${{ inputs.github-sha }}
type=registry,ref=${{ inputs.runs-on-ecr-cache }}:model-server-cache-${{ steps.format-branch.outputs.cache-suffix }}
type=registry,ref=${{ inputs.runs-on-ecr-cache }}:model-server-cache
type=registry,ref=onyxdotapp/onyx-model-server:latest
cache-to: |
type=registry,ref=${{ inputs.runs-on-ecr-cache }}:model-server-cache-${{ inputs.github-sha }},mode=max
type=registry,ref=${{ inputs.runs-on-ecr-cache }}:model-server-cache-${{ steps.format-branch.outputs.cache-suffix }},mode=max
type=registry,ref=${{ inputs.runs-on-ecr-cache }}:model-server-cache,mode=max

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@@ -0,0 +1,130 @@
name: "Run Nightly Provider Chat Test"
description: "Starts required compose services and runs nightly provider integration test"
inputs:
provider:
description: "Provider slug for NIGHTLY_LLM_PROVIDER"
required: true
models:
description: "Comma-separated model list for NIGHTLY_LLM_MODELS"
required: true
provider-api-key:
description: "API key for NIGHTLY_LLM_API_KEY"
required: false
default: ""
strict:
description: "String true/false for NIGHTLY_LLM_STRICT"
required: true
api-base:
description: "Optional NIGHTLY_LLM_API_BASE"
required: false
default: ""
api-version:
description: "Optional NIGHTLY_LLM_API_VERSION"
required: false
default: ""
deployment-name:
description: "Optional NIGHTLY_LLM_DEPLOYMENT_NAME"
required: false
default: ""
custom-config-json:
description: "Optional NIGHTLY_LLM_CUSTOM_CONFIG_JSON"
required: false
default: ""
runs-on-ecr-cache:
description: "ECR cache registry from runs-on/action"
required: true
run-id:
description: "GitHub run ID used in image tags"
required: true
docker-username:
description: "Docker Hub username"
required: true
docker-token:
description: "Docker Hub token"
required: true
runs:
using: "composite"
steps:
- name: Login to Docker Hub
uses: docker/login-action@c94ce9fb468520275223c153574b00df6fe4bcc9 # ratchet:docker/login-action@v3
with:
username: ${{ inputs.docker-username }}
password: ${{ inputs.docker-token }}
- name: Create .env file for Docker Compose
shell: bash
env:
ECR_CACHE: ${{ inputs.runs-on-ecr-cache }}
RUN_ID: ${{ inputs.run-id }}
run: |
cat <<EOF2 > deployment/docker_compose/.env
COMPOSE_PROFILES=s3-filestore
ENABLE_PAID_ENTERPRISE_EDITION_FEATURES=true
LICENSE_ENFORCEMENT_ENABLED=false
AUTH_TYPE=basic
POSTGRES_POOL_PRE_PING=true
POSTGRES_USE_NULL_POOL=true
REQUIRE_EMAIL_VERIFICATION=false
DISABLE_TELEMETRY=true
INTEGRATION_TESTS_MODE=true
AUTO_LLM_UPDATE_INTERVAL_SECONDS=10
AWS_REGION_NAME=us-west-2
ONYX_BACKEND_IMAGE=${ECR_CACHE}:nightly-llm-it-backend-${RUN_ID}
ONYX_MODEL_SERVER_IMAGE=${ECR_CACHE}:nightly-llm-it-model-server-${RUN_ID}
EOF2
- name: Start Docker containers
shell: bash
run: |
cd deployment/docker_compose
docker compose -f docker-compose.yml -f docker-compose.dev.yml up -d --wait \
relational_db \
index \
cache \
minio \
api_server \
inference_model_server
- name: Run nightly provider integration test
uses: nick-fields/retry@ce71cc2ab81d554ebbe88c79ab5975992d79ba08 # ratchet:nick-fields/retry@v3
env:
MODELS: ${{ inputs.models }}
NIGHTLY_LLM_PROVIDER: ${{ inputs.provider }}
NIGHTLY_LLM_API_KEY: ${{ inputs.provider-api-key }}
NIGHTLY_LLM_API_BASE: ${{ inputs.api-base }}
NIGHTLY_LLM_API_VERSION: ${{ inputs.api-version }}
NIGHTLY_LLM_DEPLOYMENT_NAME: ${{ inputs.deployment-name }}
NIGHTLY_LLM_CUSTOM_CONFIG_JSON: ${{ inputs.custom-config-json }}
NIGHTLY_LLM_STRICT: ${{ inputs.strict }}
RUNS_ON_ECR_CACHE: ${{ inputs.runs-on-ecr-cache }}
RUN_ID: ${{ inputs.run-id }}
with:
timeout_minutes: 20
max_attempts: 2
retry_wait_seconds: 10
command: |
docker run --rm --network onyx_default \
--name test-runner \
-e POSTGRES_HOST=relational_db \
-e POSTGRES_USER=postgres \
-e POSTGRES_PASSWORD=password \
-e POSTGRES_DB=postgres \
-e DB_READONLY_USER=db_readonly_user \
-e DB_READONLY_PASSWORD=password \
-e POSTGRES_POOL_PRE_PING=true \
-e POSTGRES_USE_NULL_POOL=true \
-e VESPA_HOST=index \
-e REDIS_HOST=cache \
-e API_SERVER_HOST=api_server \
-e TEST_WEB_HOSTNAME=test-runner \
-e AWS_REGION_NAME=us-west-2 \
-e NIGHTLY_LLM_PROVIDER="${NIGHTLY_LLM_PROVIDER}" \
-e NIGHTLY_LLM_MODELS="${MODELS}" \
-e NIGHTLY_LLM_API_KEY="${NIGHTLY_LLM_API_KEY}" \
-e NIGHTLY_LLM_API_BASE="${NIGHTLY_LLM_API_BASE}" \
-e NIGHTLY_LLM_API_VERSION="${NIGHTLY_LLM_API_VERSION}" \
-e NIGHTLY_LLM_DEPLOYMENT_NAME="${NIGHTLY_LLM_DEPLOYMENT_NAME}" \
-e NIGHTLY_LLM_CUSTOM_CONFIG_JSON="${NIGHTLY_LLM_CUSTOM_CONFIG_JSON}" \
-e NIGHTLY_LLM_STRICT="${NIGHTLY_LLM_STRICT}" \
${RUNS_ON_ECR_CACHE}:nightly-llm-it-${RUN_ID} \
/app/tests/integration/tests/llm_workflows/test_nightly_provider_chat_workflow.py

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@@ -0,0 +1,56 @@
name: Nightly LLM Provider Chat Tests
concurrency:
group: Nightly-LLM-Provider-Chat-${{ github.workflow }}-${{ github.ref_name }}
cancel-in-progress: true
on:
schedule:
# Runs daily at 10:30 UTC (2:30 AM PST / 3:30 AM PDT)
- cron: "30 10 * * *"
workflow_dispatch:
permissions:
contents: read
jobs:
provider-chat-test:
uses: ./.github/workflows/reusable-nightly-llm-provider-chat.yml
with:
openai_models: ${{ vars.NIGHTLY_LLM_OPENAI_MODELS }}
anthropic_models: ${{ vars.NIGHTLY_LLM_ANTHROPIC_MODELS }}
bedrock_models: ${{ vars.NIGHTLY_LLM_BEDROCK_MODELS }}
vertex_ai_models: ${{ vars.NIGHTLY_LLM_VERTEX_AI_MODELS }}
azure_models: ${{ vars.NIGHTLY_LLM_AZURE_MODELS }}
azure_api_base: ${{ vars.NIGHTLY_LLM_AZURE_API_BASE }}
ollama_models: ${{ vars.NIGHTLY_LLM_OLLAMA_MODELS }}
openrouter_models: ${{ vars.NIGHTLY_LLM_OPENROUTER_MODELS }}
strict: true
secrets:
openai_api_key: ${{ secrets.OPENAI_API_KEY }}
anthropic_api_key: ${{ secrets.ANTHROPIC_API_KEY }}
bedrock_api_key: ${{ secrets.BEDROCK_API_KEY }}
vertex_ai_custom_config_json: ${{ secrets.NIGHTLY_LLM_VERTEX_AI_CUSTOM_CONFIG_JSON }}
azure_api_key: ${{ secrets.AZURE_API_KEY }}
ollama_api_key: ${{ secrets.OLLAMA_API_KEY }}
openrouter_api_key: ${{ secrets.OPENROUTER_API_KEY }}
DOCKER_USERNAME: ${{ secrets.DOCKER_USERNAME }}
DOCKER_TOKEN: ${{ secrets.DOCKER_TOKEN }}
notify-slack-on-failure:
needs: [provider-chat-test]
if: failure() && github.event_name == 'schedule'
runs-on: ubuntu-slim
timeout-minutes: 5
steps:
- name: Checkout
uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # ratchet:actions/checkout@v6
with:
persist-credentials: false
- name: Send Slack notification
uses: ./.github/actions/slack-notify
with:
webhook-url: ${{ secrets.SLACK_WEBHOOK }}
failed-jobs: provider-chat-test
title: "🚨 Scheduled LLM Provider Chat Tests failed!"
ref-name: ${{ github.ref_name }}

View File

@@ -11,6 +11,11 @@ permissions:
jobs:
cherry-pick-to-latest-release:
outputs:
should_cherrypick: ${{ steps.gate.outputs.should_cherrypick }}
pr_number: ${{ steps.gate.outputs.pr_number }}
cherry_pick_reason: ${{ steps.run_cherry_pick.outputs.reason }}
cherry_pick_details: ${{ steps.run_cherry_pick.outputs.details }}
runs-on: ubuntu-latest
timeout-minutes: 45
steps:
@@ -75,10 +80,82 @@ jobs:
git config user.email "github-actions[bot]@users.noreply.github.com"
- name: Create cherry-pick PR to latest release
id: run_cherry_pick
if: steps.gate.outputs.should_cherrypick == 'true'
continue-on-error: true
env:
GH_TOKEN: ${{ github.token }}
GITHUB_TOKEN: ${{ github.token }}
CHERRY_PICK_ASSIGNEE: ${{ steps.gate.outputs.merged_by }}
run: |
uv run --no-sync --with onyx-devtools ods cherry-pick "${GITHUB_SHA}" --yes --no-verify
set -o pipefail
output_file="$(mktemp)"
uv run --no-sync --with onyx-devtools ods cherry-pick "${GITHUB_SHA}" --yes --no-verify 2>&1 | tee "$output_file"
exit_code="${PIPESTATUS[0]}"
if [ "${exit_code}" -eq 0 ]; then
echo "status=success" >> "$GITHUB_OUTPUT"
exit 0
fi
echo "status=failure" >> "$GITHUB_OUTPUT"
reason="command-failed"
if grep -qiE "merge conflict during cherry-pick|CONFLICT|could not apply|cherry-pick in progress with staged changes" "$output_file"; then
reason="merge-conflict"
fi
echo "reason=${reason}" >> "$GITHUB_OUTPUT"
{
echo "details<<EOF"
tail -n 40 "$output_file"
echo "EOF"
} >> "$GITHUB_OUTPUT"
- name: Mark workflow as failed if cherry-pick failed
if: steps.gate.outputs.should_cherrypick == 'true' && steps.run_cherry_pick.outputs.status == 'failure'
run: |
echo "::error::Automated cherry-pick failed (${{ steps.run_cherry_pick.outputs.reason }})."
exit 1
notify-slack-on-cherry-pick-failure:
needs:
- cherry-pick-to-latest-release
if: always() && needs.cherry-pick-to-latest-release.outputs.should_cherrypick == 'true' && needs.cherry-pick-to-latest-release.result != 'success'
runs-on: ubuntu-slim
timeout-minutes: 10
steps:
- name: Checkout
uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # ratchet:actions/checkout@v6
with:
persist-credentials: false
- name: Build cherry-pick failure summary
id: failure-summary
env:
SOURCE_PR_NUMBER: ${{ needs.cherry-pick-to-latest-release.outputs.pr_number }}
CHERRY_PICK_REASON: ${{ needs.cherry-pick-to-latest-release.outputs.cherry_pick_reason }}
CHERRY_PICK_DETAILS: ${{ needs.cherry-pick-to-latest-release.outputs.cherry_pick_details }}
run: |
source_pr_url="https://github.com/${GITHUB_REPOSITORY}/pull/${SOURCE_PR_NUMBER}"
reason_text="cherry-pick command failed"
if [ "${CHERRY_PICK_REASON}" = "merge-conflict" ]; then
reason_text="merge conflict during cherry-pick"
fi
details_excerpt="$(printf '%s' "${CHERRY_PICK_DETAILS}" | tail -n 8 | tr '\n' ' ' | sed "s/[[:space:]]\\+/ /g" | sed "s/\"/'/g" | cut -c1-350)"
failed_jobs="• cherry-pick-to-latest-release\\n• source PR: ${source_pr_url}\\n• reason: ${reason_text}"
if [ -n "${details_excerpt}" ]; then
failed_jobs="${failed_jobs}\\n• excerpt: ${details_excerpt}"
fi
echo "jobs=${failed_jobs}" >> "$GITHUB_OUTPUT"
- name: Notify #cherry-pick-prs about cherry-pick failure
uses: ./.github/actions/slack-notify
with:
webhook-url: ${{ secrets.CHERRY_PICK_PRS_WEBHOOK }}
failed-jobs: ${{ steps.failure-summary.outputs.jobs }}
title: "🚨 Automated Cherry-Pick Failed"
ref-name: ${{ github.ref_name }}

View File

@@ -20,6 +20,7 @@ env:
# Test Environment Variables
OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}
SLACK_BOT_TOKEN: ${{ secrets.SLACK_BOT_TOKEN }}
SLACK_BOT_TOKEN_TEST_SPACE: ${{ secrets.SLACK_BOT_TOKEN_TEST_SPACE }}
CONFLUENCE_TEST_SPACE_URL: ${{ vars.CONFLUENCE_TEST_SPACE_URL }}
CONFLUENCE_USER_NAME: ${{ vars.CONFLUENCE_USER_NAME }}
CONFLUENCE_ACCESS_TOKEN: ${{ secrets.CONFLUENCE_ACCESS_TOKEN }}
@@ -423,6 +424,7 @@ jobs:
-e OPENAI_API_KEY=${OPENAI_API_KEY} \
-e EXA_API_KEY=${EXA_API_KEY} \
-e SLACK_BOT_TOKEN=${SLACK_BOT_TOKEN} \
-e SLACK_BOT_TOKEN_TEST_SPACE=${SLACK_BOT_TOKEN_TEST_SPACE} \
-e CONFLUENCE_TEST_SPACE_URL=${CONFLUENCE_TEST_SPACE_URL} \
-e CONFLUENCE_USER_NAME=${CONFLUENCE_USER_NAME} \
-e CONFLUENCE_ACCESS_TOKEN=${CONFLUENCE_ACCESS_TOKEN} \
@@ -443,6 +445,7 @@ jobs:
-e TEST_WEB_HOSTNAME=test-runner \
-e MOCK_CONNECTOR_SERVER_HOST=mock_connector_server \
-e MOCK_CONNECTOR_SERVER_PORT=8001 \
-e ENABLE_PAID_ENTERPRISE_EDITION_FEATURES=${{ matrix.edition == 'ee' && 'true' || 'false' }} \
${{ env.RUNS_ON_ECR_CACHE }}:integration-test-${{ github.run_id }} \
/app/tests/integration/${{ matrix.test-dir.path }}
@@ -701,6 +704,7 @@ jobs:
-e OPENAI_API_KEY=${OPENAI_API_KEY} \
-e EXA_API_KEY=${EXA_API_KEY} \
-e SLACK_BOT_TOKEN=${SLACK_BOT_TOKEN} \
-e SLACK_BOT_TOKEN_TEST_SPACE=${SLACK_BOT_TOKEN_TEST_SPACE} \
-e TEST_WEB_HOSTNAME=test-runner \
-e AUTH_TYPE=cloud \
-e MULTI_TENANT=true \

View File

@@ -89,6 +89,10 @@ env:
SHAREPOINT_CLIENT_SECRET: ${{ secrets.SHAREPOINT_CLIENT_SECRET }}
SHAREPOINT_CLIENT_DIRECTORY_ID: ${{ vars.SHAREPOINT_CLIENT_DIRECTORY_ID }}
SHAREPOINT_SITE: ${{ vars.SHAREPOINT_SITE }}
PERM_SYNC_SHAREPOINT_CLIENT_ID: ${{ secrets.PERM_SYNC_SHAREPOINT_CLIENT_ID }}
PERM_SYNC_SHAREPOINT_PRIVATE_KEY: ${{ secrets.PERM_SYNC_SHAREPOINT_PRIVATE_KEY }}
PERM_SYNC_SHAREPOINT_CERTIFICATE_PASSWORD: ${{ secrets.PERM_SYNC_SHAREPOINT_CERTIFICATE_PASSWORD }}
PERM_SYNC_SHAREPOINT_DIRECTORY_ID: ${{ secrets.PERM_SYNC_SHAREPOINT_DIRECTORY_ID }}
# Github
ACCESS_TOKEN_GITHUB: ${{ secrets.ACCESS_TOKEN_GITHUB }}

View File

@@ -0,0 +1,282 @@
name: Reusable Nightly LLM Provider Chat Tests
on:
workflow_call:
inputs:
openai_models:
description: "Comma-separated models for openai"
required: false
default: ""
type: string
anthropic_models:
description: "Comma-separated models for anthropic"
required: false
default: ""
type: string
bedrock_models:
description: "Comma-separated models for bedrock"
required: false
default: ""
type: string
vertex_ai_models:
description: "Comma-separated models for vertex_ai"
required: false
default: ""
type: string
azure_models:
description: "Comma-separated models for azure"
required: false
default: ""
type: string
ollama_models:
description: "Comma-separated models for ollama_chat"
required: false
default: ""
type: string
openrouter_models:
description: "Comma-separated models for openrouter"
required: false
default: ""
type: string
azure_api_base:
description: "API base for azure provider"
required: false
default: ""
type: string
strict:
description: "Default NIGHTLY_LLM_STRICT passed to tests"
required: false
default: true
type: boolean
secrets:
openai_api_key:
required: false
anthropic_api_key:
required: false
bedrock_api_key:
required: false
vertex_ai_custom_config_json:
required: false
azure_api_key:
required: false
ollama_api_key:
required: false
openrouter_api_key:
required: false
DOCKER_USERNAME:
required: true
DOCKER_TOKEN:
required: true
permissions:
contents: read
jobs:
build-backend-image:
runs-on:
[
runs-on,
runner=1cpu-linux-arm64,
"run-id=${{ github.run_id }}-build-backend-image",
"extras=ecr-cache",
]
timeout-minutes: 45
steps:
- uses: runs-on/action@cd2b598b0515d39d78c38a02d529db87d2196d1e # ratchet:runs-on/action@v2
- name: Checkout code
uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # ratchet:actions/checkout@v6
with:
persist-credentials: false
- name: Build backend image
uses: ./.github/actions/build-backend-image
with:
runs-on-ecr-cache: ${{ env.RUNS_ON_ECR_CACHE }}
ref-name: ${{ github.ref_name }}
pr-number: ${{ github.event.pull_request.number }}
github-sha: ${{ github.sha }}
run-id: ${{ github.run_id }}
docker-username: ${{ secrets.DOCKER_USERNAME }}
docker-token: ${{ secrets.DOCKER_TOKEN }}
docker-no-cache: ${{ vars.DOCKER_NO_CACHE == 'true' && 'true' || 'false' }}
build-model-server-image:
runs-on:
[
runs-on,
runner=1cpu-linux-arm64,
"run-id=${{ github.run_id }}-build-model-server-image",
"extras=ecr-cache",
]
timeout-minutes: 45
steps:
- uses: runs-on/action@cd2b598b0515d39d78c38a02d529db87d2196d1e # ratchet:runs-on/action@v2
- name: Checkout code
uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # ratchet:actions/checkout@v6
with:
persist-credentials: false
- name: Build model server image
uses: ./.github/actions/build-model-server-image
with:
runs-on-ecr-cache: ${{ env.RUNS_ON_ECR_CACHE }}
ref-name: ${{ github.ref_name }}
pr-number: ${{ github.event.pull_request.number }}
github-sha: ${{ github.sha }}
run-id: ${{ github.run_id }}
docker-username: ${{ secrets.DOCKER_USERNAME }}
docker-token: ${{ secrets.DOCKER_TOKEN }}
build-integration-image:
runs-on:
[
runs-on,
runner=2cpu-linux-arm64,
"run-id=${{ github.run_id }}-build-integration-image",
"extras=ecr-cache",
]
timeout-minutes: 45
steps:
- uses: runs-on/action@cd2b598b0515d39d78c38a02d529db87d2196d1e # ratchet:runs-on/action@v2
- name: Checkout code
uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # ratchet:actions/checkout@v6
with:
persist-credentials: false
- name: Build integration image
uses: ./.github/actions/build-integration-image
with:
runs-on-ecr-cache: ${{ env.RUNS_ON_ECR_CACHE }}
ref-name: ${{ github.ref_name }}
pr-number: ${{ github.event.pull_request.number }}
github-sha: ${{ github.sha }}
run-id: ${{ github.run_id }}
docker-username: ${{ secrets.DOCKER_USERNAME }}
docker-token: ${{ secrets.DOCKER_TOKEN }}
provider-chat-test:
needs:
[
build-backend-image,
build-model-server-image,
build-integration-image,
]
strategy:
fail-fast: false
matrix:
include:
- provider: openai
models: ${{ inputs.openai_models }}
api_key_secret: openai_api_key
custom_config_secret: ""
api_base: ""
api_version: ""
deployment_name: ""
required: true
- provider: anthropic
models: ${{ inputs.anthropic_models }}
api_key_secret: anthropic_api_key
custom_config_secret: ""
api_base: ""
api_version: ""
deployment_name: ""
required: true
- provider: bedrock
models: ${{ inputs.bedrock_models }}
api_key_secret: bedrock_api_key
custom_config_secret: ""
api_base: ""
api_version: ""
deployment_name: ""
required: false
- provider: vertex_ai
models: ${{ inputs.vertex_ai_models }}
api_key_secret: ""
custom_config_secret: vertex_ai_custom_config_json
api_base: ""
api_version: ""
deployment_name: ""
required: false
- provider: azure
models: ${{ inputs.azure_models }}
api_key_secret: azure_api_key
custom_config_secret: ""
api_base: ${{ inputs.azure_api_base }}
api_version: "2025-04-01-preview"
deployment_name: ""
required: false
- provider: ollama_chat
models: ${{ inputs.ollama_models }}
api_key_secret: ollama_api_key
custom_config_secret: ""
api_base: "https://ollama.com"
api_version: ""
deployment_name: ""
required: false
- provider: openrouter
models: ${{ inputs.openrouter_models }}
api_key_secret: openrouter_api_key
custom_config_secret: ""
api_base: "https://openrouter.ai/api/v1"
api_version: ""
deployment_name: ""
required: false
runs-on:
- runs-on
- runner=4cpu-linux-arm64
- "run-id=${{ github.run_id }}-nightly-${{ matrix.provider }}-provider-chat-test"
- extras=ecr-cache
timeout-minutes: 45
steps:
- uses: runs-on/action@cd2b598b0515d39d78c38a02d529db87d2196d1e # ratchet:runs-on/action@v2
- name: Checkout code
uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # ratchet:actions/checkout@v6
with:
persist-credentials: false
- name: Run nightly provider chat test
uses: ./.github/actions/run-nightly-provider-chat-test
with:
provider: ${{ matrix.provider }}
models: ${{ matrix.models }}
provider-api-key: ${{ matrix.api_key_secret && secrets[matrix.api_key_secret] || '' }}
strict: ${{ inputs.strict && 'true' || 'false' }}
api-base: ${{ matrix.api_base }}
api-version: ${{ matrix.api_version }}
deployment-name: ${{ matrix.deployment_name }}
custom-config-json: ${{ matrix.custom_config_secret && secrets[matrix.custom_config_secret] || '' }}
runs-on-ecr-cache: ${{ env.RUNS_ON_ECR_CACHE }}
run-id: ${{ github.run_id }}
docker-username: ${{ secrets.DOCKER_USERNAME }}
docker-token: ${{ secrets.DOCKER_TOKEN }}
- name: Dump API server logs
if: always()
run: |
cd deployment/docker_compose
docker compose logs --no-color api_server > $GITHUB_WORKSPACE/api_server.log || true
- name: Dump all-container logs
if: always()
run: |
cd deployment/docker_compose
docker compose logs --no-color > $GITHUB_WORKSPACE/docker-compose.log || true
- name: Upload logs
if: always()
uses: actions/upload-artifact@b7c566a772e6b6bfb58ed0dc250532a479d7789f
with:
name: docker-all-logs-nightly-${{ matrix.provider }}-llm-provider
path: |
${{ github.workspace }}/api_server.log
${{ github.workspace }}/docker-compose.log
- name: Stop Docker containers
if: always()
run: |
cd deployment/docker_compose
docker compose down -v

View File

@@ -548,7 +548,7 @@ class in the utils over directly calling the APIs with a library like `requests`
calling the utilities directly (e.g. do NOT create admin users with
`admin_user = UserManager.create(name="admin_user")`, instead use the `admin_user` fixture).
A great example of this type of test is `backend/tests/integration/dev_apis/test_simple_chat_api.py`.
A great example of this type of test is `backend/tests/integration/tests/streaming_endpoints/test_chat_stream.py`.
To run them:
@@ -616,3 +616,9 @@ This is a minimal list - feel free to include more. Do NOT write code as part of
Keep it high level. You can reference certain files or functions though.
Before writing your plan, make sure to do research. Explore the relevant sections in the codebase.
## Best Practices
In addition to the other content in this file, best practices for contributing
to the codebase can be found at `contributing_guides/best_practices.md`.
Understand its contents and follow them.

View File

@@ -0,0 +1,69 @@
"""add python tool on default
Revision ID: 57122d037335
Revises: c0c937d5c9e5
Create Date: 2026-02-27 10:10:40.124925
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = "57122d037335"
down_revision = "c0c937d5c9e5"
branch_labels = None
depends_on = None
PYTHON_TOOL_NAME = "python"
def upgrade() -> None:
conn = op.get_bind()
# Look up the PythonTool id
result = conn.execute(
sa.text("SELECT id FROM tool WHERE name = :name"),
{"name": PYTHON_TOOL_NAME},
).fetchone()
if not result:
return
tool_id = result[0]
# Attach to the default persona (id=0) if not already attached
conn.execute(
sa.text(
"""
INSERT INTO persona__tool (persona_id, tool_id)
VALUES (0, :tool_id)
ON CONFLICT DO NOTHING
"""
),
{"tool_id": tool_id},
)
def downgrade() -> None:
conn = op.get_bind()
result = conn.execute(
sa.text("SELECT id FROM tool WHERE name = :name"),
{"name": PYTHON_TOOL_NAME},
).fetchone()
if not result:
return
conn.execute(
sa.text(
"""
DELETE FROM persona__tool
WHERE persona_id = 0 AND tool_id = :tool_id
"""
),
{"tool_id": result[0]},
)

View File

@@ -0,0 +1,33 @@
"""add needs_persona_sync to user_file
Revision ID: 8ffcc2bcfc11
Revises: 7616121f6e97
Create Date: 2026-02-23 10:48:48.343826
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = "8ffcc2bcfc11"
down_revision = "7616121f6e97"
branch_labels = None
depends_on = None
def upgrade() -> None:
op.add_column(
"user_file",
sa.Column(
"needs_persona_sync",
sa.Boolean(),
nullable=False,
server_default=sa.text("false"),
),
)
def downgrade() -> None:
op.drop_column("user_file", "needs_persona_sync")

View File

@@ -0,0 +1,70 @@
"""llm provider deprecate fields
Revision ID: c0c937d5c9e5
Revises: 8ffcc2bcfc11
Create Date: 2026-02-25 17:35:46.125102
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = "c0c937d5c9e5"
down_revision = "8ffcc2bcfc11"
branch_labels = None
depends_on = None
def upgrade() -> None:
# Make default_model_name nullable (was NOT NULL)
op.alter_column(
"llm_provider",
"default_model_name",
existing_type=sa.String(),
nullable=True,
)
# Drop unique constraint on is_default_provider (defaults now tracked via LLMModelFlow)
op.drop_constraint(
"llm_provider_is_default_provider_key",
"llm_provider",
type_="unique",
)
# Remove server_default from is_default_vision_provider (was server_default=false())
op.alter_column(
"llm_provider",
"is_default_vision_provider",
existing_type=sa.Boolean(),
server_default=None,
)
def downgrade() -> None:
# Restore default_model_name to NOT NULL (set empty string for any NULLs first)
op.execute(
"UPDATE llm_provider SET default_model_name = '' WHERE default_model_name IS NULL"
)
op.alter_column(
"llm_provider",
"default_model_name",
existing_type=sa.String(),
nullable=False,
)
# Restore unique constraint on is_default_provider
op.create_unique_constraint(
"llm_provider_is_default_provider_key",
"llm_provider",
["is_default_provider"],
)
# Restore server_default for is_default_vision_provider
op.alter_column(
"llm_provider",
"is_default_vision_provider",
existing_type=sa.Boolean(),
server_default=sa.false(),
)

View File

@@ -34,6 +34,7 @@ from sqlalchemy.dialects.postgresql import insert as pg_insert
from ee.onyx.server.scim.filtering import ScimFilter
from ee.onyx.server.scim.filtering import ScimFilterOperator
from ee.onyx.server.scim.models import ScimMappingFields
from onyx.db.dal import DAL
from onyx.db.models import ScimGroupMapping
from onyx.db.models import ScimToken
@@ -128,12 +129,19 @@ class ScimDAL(DAL):
external_id: str,
user_id: UUID,
scim_username: str | None = None,
fields: ScimMappingFields | None = None,
) -> ScimUserMapping:
"""Create a mapping between a SCIM externalId and an Onyx user."""
f = fields or ScimMappingFields()
mapping = ScimUserMapping(
external_id=external_id,
user_id=user_id,
scim_username=scim_username,
department=f.department,
manager=f.manager,
given_name=f.given_name,
family_name=f.family_name,
scim_emails_json=f.scim_emails_json,
)
self._session.add(mapping)
self._session.flush()
@@ -311,8 +319,14 @@ class ScimDAL(DAL):
user_id: UUID,
new_external_id: str | None,
scim_username: str | None = None,
fields: ScimMappingFields | None = None,
) -> None:
"""Create, update, or delete the external ID mapping for a user."""
"""Create, update, or delete the external ID mapping for a user.
When *fields* is provided, all mapping fields are written
unconditionally — including ``None`` values — so that a caller can
clear a previously-set field (e.g. removing a department).
"""
mapping = self.get_user_mapping_by_user_id(user_id)
if new_external_id:
if mapping:
@@ -320,11 +334,18 @@ class ScimDAL(DAL):
mapping.external_id = new_external_id
if scim_username is not None:
mapping.scim_username = scim_username
if fields is not None:
mapping.department = fields.department
mapping.manager = fields.manager
mapping.given_name = fields.given_name
mapping.family_name = fields.family_name
mapping.scim_emails_json = fields.scim_emails_json
else:
self.create_user_mapping(
external_id=new_external_id,
user_id=user_id,
scim_username=scim_username,
fields=fields,
)
elif mapping:
self.delete_user_mapping(mapping.id)

View File

@@ -4,7 +4,6 @@ from collections import deque
from collections.abc import Callable
from collections.abc import Generator
from typing import Any
from urllib.parse import unquote
from urllib.parse import urlparse
import requests as _requests
@@ -598,8 +597,12 @@ def get_external_access_from_sharepoint(
)
elif site_page:
site_url = site_page.get("webUrl")
# Prefer server-relative URL to avoid OData filters that break on apostrophes
server_relative_url = unquote(urlparse(site_url).path)
# Keep percent-encoding intact so the path matches the encoding
# used by the Office365 library's SPResPath.create_relative(),
# which compares against urlparse(context.base_url).path.
# Decoding (e.g. %27 → ') causes a mismatch that duplicates
# the site prefix in the constructed URL.
server_relative_url = urlparse(site_url).path
file_obj = client_context.web.get_file_by_server_relative_url(
server_relative_url
)

View File

@@ -26,14 +26,14 @@ from sqlalchemy.orm import Session
from ee.onyx.db.scim import ScimDAL
from ee.onyx.server.scim.auth import verify_scim_token
from ee.onyx.server.scim.filtering import parse_scim_filter
from ee.onyx.server.scim.models import SCIM_LIST_RESPONSE_SCHEMA
from ee.onyx.server.scim.models import ScimError
from ee.onyx.server.scim.models import ScimGroupMember
from ee.onyx.server.scim.models import ScimGroupResource
from ee.onyx.server.scim.models import ScimListResponse
from ee.onyx.server.scim.models import ScimMappingFields
from ee.onyx.server.scim.models import ScimName
from ee.onyx.server.scim.models import ScimPatchRequest
from ee.onyx.server.scim.models import ScimResourceType
from ee.onyx.server.scim.models import ScimSchemaDefinition
from ee.onyx.server.scim.models import ScimServiceProviderConfig
from ee.onyx.server.scim.models import ScimUserResource
from ee.onyx.server.scim.patch import apply_group_patch
@@ -41,6 +41,8 @@ from ee.onyx.server.scim.patch import apply_user_patch
from ee.onyx.server.scim.patch import ScimPatchError
from ee.onyx.server.scim.providers.base import get_default_provider
from ee.onyx.server.scim.providers.base import ScimProvider
from ee.onyx.server.scim.providers.base import serialize_emails
from ee.onyx.server.scim.schema_definitions import ENTERPRISE_USER_SCHEMA_DEF
from ee.onyx.server.scim.schema_definitions import GROUP_RESOURCE_TYPE
from ee.onyx.server.scim.schema_definitions import GROUP_SCHEMA_DEF
from ee.onyx.server.scim.schema_definitions import SERVICE_PROVIDER_CONFIG
@@ -48,15 +50,28 @@ from ee.onyx.server.scim.schema_definitions import USER_RESOURCE_TYPE
from ee.onyx.server.scim.schema_definitions import USER_SCHEMA_DEF
from onyx.db.engine.sql_engine import get_session
from onyx.db.models import ScimToken
from onyx.db.models import ScimUserMapping
from onyx.db.models import User
from onyx.db.models import UserGroup
from onyx.db.models import UserRole
from onyx.utils.logger import setup_logger
from onyx.utils.variable_functionality import fetch_ee_implementation_or_noop
logger = setup_logger()
class ScimJSONResponse(JSONResponse):
"""JSONResponse with Content-Type: application/scim+json (RFC 7644 §3.1)."""
media_type = "application/scim+json"
# NOTE: All URL paths in this router (/ServiceProviderConfig, /ResourceTypes,
# /Schemas, /Users, /Groups) are mandated by the SCIM spec (RFC 7643/7644).
# IdPs like Okta and Azure AD hardcode these exact paths, so they cannot be
# changed to kebab-case.
scim_router = APIRouter(prefix="/scim/v2", tags=["SCIM"])
_pw_helper = PasswordHelper()
@@ -86,15 +101,39 @@ def get_service_provider_config() -> ScimServiceProviderConfig:
@scim_router.get("/ResourceTypes")
def get_resource_types() -> list[ScimResourceType]:
"""List available SCIM resource types (RFC 7643 §6)."""
return [USER_RESOURCE_TYPE, GROUP_RESOURCE_TYPE]
def get_resource_types() -> ScimJSONResponse:
"""List available SCIM resource types (RFC 7643 §6).
Wrapped in a ListResponse envelope (RFC 7644 §3.4.2) because IdPs
like Entra ID expect a JSON object, not a bare array.
"""
resources = [USER_RESOURCE_TYPE, GROUP_RESOURCE_TYPE]
return ScimJSONResponse(
content={
"schemas": [SCIM_LIST_RESPONSE_SCHEMA],
"totalResults": len(resources),
"Resources": [
r.model_dump(exclude_none=True, by_alias=True) for r in resources
],
}
)
@scim_router.get("/Schemas")
def get_schemas() -> list[ScimSchemaDefinition]:
"""Return SCIM schema definitions (RFC 7643 §7)."""
return [USER_SCHEMA_DEF, GROUP_SCHEMA_DEF]
def get_schemas() -> ScimJSONResponse:
"""Return SCIM schema definitions (RFC 7643 §7).
Wrapped in a ListResponse envelope (RFC 7644 §3.4.2) because IdPs
like Entra ID expect a JSON object, not a bare array.
"""
schemas = [USER_SCHEMA_DEF, GROUP_SCHEMA_DEF, ENTERPRISE_USER_SCHEMA_DEF]
return ScimJSONResponse(
content={
"schemas": [SCIM_LIST_RESPONSE_SCHEMA],
"totalResults": len(schemas),
"Resources": [s.model_dump(exclude_none=True) for s in schemas],
}
)
# ---------------------------------------------------------------------------
@@ -102,15 +141,45 @@ def get_schemas() -> list[ScimSchemaDefinition]:
# ---------------------------------------------------------------------------
def _scim_error_response(status: int, detail: str) -> JSONResponse:
def _scim_error_response(status: int, detail: str) -> ScimJSONResponse:
"""Build a SCIM-compliant error response (RFC 7644 §3.12)."""
logger.warning("SCIM error response: status=%s detail=%s", status, detail)
body = ScimError(status=str(status), detail=detail)
return JSONResponse(
return ScimJSONResponse(
status_code=status,
content=body.model_dump(exclude_none=True),
)
def _parse_excluded_attributes(raw: str | None) -> set[str]:
"""Parse the ``excludedAttributes`` query parameter (RFC 7644 §3.4.2.5).
Returns a set of lowercased attribute names to omit from responses.
"""
if not raw:
return set()
return {attr.strip().lower() for attr in raw.split(",") if attr.strip()}
def _apply_exclusions(
resource: ScimUserResource | ScimGroupResource,
excluded: set[str],
) -> dict:
"""Serialize a SCIM resource, omitting attributes the IdP excluded.
RFC 7644 §3.4.2.5 lets the IdP pass ``?excludedAttributes=groups,emails``
to reduce response payload size. We strip those fields after serialization
so the rest of the pipeline doesn't need to know about them.
"""
data = resource.model_dump(exclude_none=True, by_alias=True)
for attr in excluded:
# Match case-insensitively against the camelCase field names
keys_to_remove = [k for k in data if k.lower() == attr]
for k in keys_to_remove:
del data[k]
return data
def _check_seat_availability(dal: ScimDAL) -> str | None:
"""Return an error message if seat limit is reached, else None."""
check_fn = fetch_ee_implementation_or_noop(
@@ -124,7 +193,7 @@ def _check_seat_availability(dal: ScimDAL) -> str | None:
return None
def _fetch_user_or_404(user_id: str, dal: ScimDAL) -> User | JSONResponse:
def _fetch_user_or_404(user_id: str, dal: ScimDAL) -> User | ScimJSONResponse:
"""Parse *user_id* as UUID, look up the user, or return a 404 error."""
try:
uid = UUID(user_id)
@@ -144,10 +213,95 @@ def _scim_name_to_str(name: ScimName | None) -> str | None:
"""
if not name:
return None
# Build from givenName/familyName first — IdPs like Okta may send a stale
# ``formatted`` value while updating the individual name components.
# If the client explicitly provides ``formatted``, prefer it — the client
# knows what display string it wants. Otherwise build from components.
if name.formatted:
return name.formatted
parts = " ".join(part for part in [name.givenName, name.familyName] if part)
return parts or name.formatted
return parts or None
def _scim_resource_response(
resource: ScimUserResource | ScimGroupResource | ScimListResponse,
status_code: int = 200,
) -> ScimJSONResponse:
"""Serialize a SCIM resource as ``application/scim+json``."""
content = resource.model_dump(exclude_none=True, by_alias=True)
return ScimJSONResponse(
status_code=status_code,
content=content,
)
def _build_list_response(
resources: list[ScimUserResource | ScimGroupResource],
total: int,
start_index: int,
count: int,
excluded: set[str] | None = None,
) -> ScimListResponse | ScimJSONResponse:
"""Build a SCIM list response, optionally applying attribute exclusions.
RFC 7644 §3.4.2.5 — IdPs may request certain attributes be omitted via
the ``excludedAttributes`` query parameter.
"""
if excluded:
envelope = ScimListResponse(
totalResults=total,
startIndex=start_index,
itemsPerPage=count,
)
data = envelope.model_dump(exclude_none=True)
data["Resources"] = [_apply_exclusions(r, excluded) for r in resources]
return ScimJSONResponse(content=data)
return _scim_resource_response(
ScimListResponse(
totalResults=total,
startIndex=start_index,
itemsPerPage=count,
Resources=resources,
)
)
def _extract_enterprise_fields(
resource: ScimUserResource,
) -> tuple[str | None, str | None]:
"""Extract department and manager from enterprise extension."""
ext = resource.enterprise_extension
if not ext:
return None, None
department = ext.department
manager = ext.manager.value if ext.manager else None
return department, manager
def _mapping_to_fields(
mapping: ScimUserMapping | None,
) -> ScimMappingFields | None:
"""Extract round-trip fields from a SCIM user mapping."""
if not mapping:
return None
return ScimMappingFields(
department=mapping.department,
manager=mapping.manager,
given_name=mapping.given_name,
family_name=mapping.family_name,
scim_emails_json=mapping.scim_emails_json,
)
def _fields_from_resource(resource: ScimUserResource) -> ScimMappingFields:
"""Build mapping fields from an incoming SCIM user resource."""
department, manager = _extract_enterprise_fields(resource)
return ScimMappingFields(
department=department,
manager=manager,
given_name=resource.name.givenName if resource.name else None,
family_name=resource.name.familyName if resource.name else None,
scim_emails_json=serialize_emails(resource.emails),
)
# ---------------------------------------------------------------------------
@@ -158,15 +312,17 @@ def _scim_name_to_str(name: ScimName | None) -> str | None:
@scim_router.get("/Users", response_model=None)
def list_users(
filter: str | None = Query(None),
excludedAttributes: str | None = None,
startIndex: int = Query(1, ge=1),
count: int = Query(100, ge=0, le=500),
_token: ScimToken = Depends(verify_scim_token),
provider: ScimProvider = Depends(_get_provider),
db_session: Session = Depends(get_session),
) -> ScimListResponse | JSONResponse:
) -> ScimListResponse | ScimJSONResponse:
"""List users with optional SCIM filter and pagination."""
dal = ScimDAL(db_session)
dal.update_token_last_used(_token.id)
dal.commit()
try:
scim_filter = parse_scim_filter(filter)
@@ -185,42 +341,55 @@ def list_users(
mapping.external_id if mapping else None,
groups=user_groups_map.get(user.id, []),
scim_username=mapping.scim_username if mapping else None,
fields=_mapping_to_fields(mapping),
)
for user, mapping in users_with_mappings
]
return ScimListResponse(
totalResults=total,
startIndex=startIndex,
itemsPerPage=count,
Resources=resources,
return _build_list_response(
resources,
total,
startIndex,
count,
excluded=_parse_excluded_attributes(excludedAttributes),
)
@scim_router.get("/Users/{user_id}", response_model=None)
def get_user(
user_id: str,
excludedAttributes: str | None = None,
_token: ScimToken = Depends(verify_scim_token),
provider: ScimProvider = Depends(_get_provider),
db_session: Session = Depends(get_session),
) -> ScimUserResource | JSONResponse:
) -> ScimUserResource | ScimJSONResponse:
"""Get a single user by ID."""
dal = ScimDAL(db_session)
dal.update_token_last_used(_token.id)
dal.commit()
result = _fetch_user_or_404(user_id, dal)
if isinstance(result, JSONResponse):
if isinstance(result, ScimJSONResponse):
return result
user = result
mapping = dal.get_user_mapping_by_user_id(user.id)
return provider.build_user_resource(
resource = provider.build_user_resource(
user,
mapping.external_id if mapping else None,
groups=dal.get_user_groups(user.id),
scim_username=mapping.scim_username if mapping else None,
fields=_mapping_to_fields(mapping),
)
# RFC 7644 §3.4.2.5 — IdP may request certain attributes be omitted
excluded = _parse_excluded_attributes(excludedAttributes)
if excluded:
return ScimJSONResponse(content=_apply_exclusions(resource, excluded))
return _scim_resource_response(resource)
@scim_router.post("/Users", status_code=201, response_model=None)
def create_user(
@@ -228,7 +397,7 @@ def create_user(
_token: ScimToken = Depends(verify_scim_token),
provider: ScimProvider = Depends(_get_provider),
db_session: Session = Depends(get_session),
) -> ScimUserResource | JSONResponse:
) -> ScimUserResource | ScimJSONResponse:
"""Create a new user from a SCIM provisioning request."""
dal = ScimDAL(db_session)
dal.update_token_last_used(_token.id)
@@ -270,13 +439,25 @@ def create_user(
# Create SCIM mapping (externalId is validated above, always present)
external_id = user_resource.externalId
scim_username = user_resource.userName.strip()
fields = _fields_from_resource(user_resource)
dal.create_user_mapping(
external_id=external_id, user_id=user.id, scim_username=scim_username
external_id=external_id,
user_id=user.id,
scim_username=scim_username,
fields=fields,
)
dal.commit()
return provider.build_user_resource(user, external_id, scim_username=scim_username)
return _scim_resource_response(
provider.build_user_resource(
user,
external_id,
scim_username=scim_username,
fields=fields,
),
status_code=201,
)
@scim_router.put("/Users/{user_id}", response_model=None)
@@ -286,13 +467,13 @@ def replace_user(
_token: ScimToken = Depends(verify_scim_token),
provider: ScimProvider = Depends(_get_provider),
db_session: Session = Depends(get_session),
) -> ScimUserResource | JSONResponse:
) -> ScimUserResource | ScimJSONResponse:
"""Replace a user entirely (RFC 7644 §3.5.1)."""
dal = ScimDAL(db_session)
dal.update_token_last_used(_token.id)
result = _fetch_user_or_404(user_id, dal)
if isinstance(result, JSONResponse):
if isinstance(result, ScimJSONResponse):
return result
user = result
@@ -313,15 +494,24 @@ def replace_user(
new_external_id = user_resource.externalId
scim_username = user_resource.userName.strip()
dal.sync_user_external_id(user.id, new_external_id, scim_username=scim_username)
fields = _fields_from_resource(user_resource)
dal.sync_user_external_id(
user.id,
new_external_id,
scim_username=scim_username,
fields=fields,
)
dal.commit()
return provider.build_user_resource(
user,
new_external_id,
groups=dal.get_user_groups(user.id),
scim_username=scim_username,
return _scim_resource_response(
provider.build_user_resource(
user,
new_external_id,
groups=dal.get_user_groups(user.id),
scim_username=scim_username,
fields=fields,
)
)
@@ -332,7 +522,7 @@ def patch_user(
_token: ScimToken = Depends(verify_scim_token),
provider: ScimProvider = Depends(_get_provider),
db_session: Session = Depends(get_session),
) -> ScimUserResource | JSONResponse:
) -> ScimUserResource | ScimJSONResponse:
"""Partially update a user (RFC 7644 §3.5.2).
This is the primary endpoint for user deprovisioning — Okta sends
@@ -342,23 +532,25 @@ def patch_user(
dal.update_token_last_used(_token.id)
result = _fetch_user_or_404(user_id, dal)
if isinstance(result, JSONResponse):
if isinstance(result, ScimJSONResponse):
return result
user = result
mapping = dal.get_user_mapping_by_user_id(user.id)
external_id = mapping.external_id if mapping else None
current_scim_username = mapping.scim_username if mapping else None
current_fields = _mapping_to_fields(mapping)
current = provider.build_user_resource(
user,
external_id,
groups=dal.get_user_groups(user.id),
scim_username=current_scim_username,
fields=current_fields,
)
try:
patched = apply_user_patch(
patched, ent_data = apply_user_patch(
patch_request.Operations, current, provider.ignored_patch_paths
)
except ScimPatchError as e:
@@ -393,17 +585,37 @@ def patch_user(
personal_name=personal_name,
)
# Build updated fields by merging PATCH enterprise data with current values
cf = current_fields or ScimMappingFields()
fields = ScimMappingFields(
department=ent_data.get("department", cf.department),
manager=ent_data.get("manager", cf.manager),
given_name=patched.name.givenName if patched.name else cf.given_name,
family_name=patched.name.familyName if patched.name else cf.family_name,
scim_emails_json=(
serialize_emails(patched.emails)
if patched.emails is not None
else cf.scim_emails_json
),
)
dal.sync_user_external_id(
user.id, patched.externalId, scim_username=new_scim_username
user.id,
patched.externalId,
scim_username=new_scim_username,
fields=fields,
)
dal.commit()
return provider.build_user_resource(
user,
patched.externalId,
groups=dal.get_user_groups(user.id),
scim_username=new_scim_username,
return _scim_resource_response(
provider.build_user_resource(
user,
patched.externalId,
groups=dal.get_user_groups(user.id),
scim_username=new_scim_username,
fields=fields,
)
)
@@ -412,25 +624,29 @@ def delete_user(
user_id: str,
_token: ScimToken = Depends(verify_scim_token),
db_session: Session = Depends(get_session),
) -> Response | JSONResponse:
) -> Response | ScimJSONResponse:
"""Delete a user (RFC 7644 §3.6).
Deactivates the user and removes the SCIM mapping. Note that Okta
typically uses PATCH active=false instead of DELETE.
A second DELETE returns 404 per RFC 7644 §3.6.
"""
dal = ScimDAL(db_session)
dal.update_token_last_used(_token.id)
result = _fetch_user_or_404(user_id, dal)
if isinstance(result, JSONResponse):
if isinstance(result, ScimJSONResponse):
return result
user = result
dal.deactivate_user(user)
# If no SCIM mapping exists, the user was already deleted from
# SCIM's perspective — return 404 per RFC 7644 §3.6.
mapping = dal.get_user_mapping_by_user_id(user.id)
if mapping:
dal.delete_user_mapping(mapping.id)
if not mapping:
return _scim_error_response(404, f"User {user_id} not found")
dal.deactivate_user(user)
dal.delete_user_mapping(mapping.id)
dal.commit()
@@ -442,7 +658,7 @@ def delete_user(
# ---------------------------------------------------------------------------
def _fetch_group_or_404(group_id: str, dal: ScimDAL) -> UserGroup | JSONResponse:
def _fetch_group_or_404(group_id: str, dal: ScimDAL) -> UserGroup | ScimJSONResponse:
"""Parse *group_id* as int, look up the group, or return a 404 error."""
try:
gid = int(group_id)
@@ -497,15 +713,17 @@ def _validate_and_parse_members(
@scim_router.get("/Groups", response_model=None)
def list_groups(
filter: str | None = Query(None),
excludedAttributes: str | None = None,
startIndex: int = Query(1, ge=1),
count: int = Query(100, ge=0, le=500),
_token: ScimToken = Depends(verify_scim_token),
provider: ScimProvider = Depends(_get_provider),
db_session: Session = Depends(get_session),
) -> ScimListResponse | JSONResponse:
) -> ScimListResponse | ScimJSONResponse:
"""List groups with optional SCIM filter and pagination."""
dal = ScimDAL(db_session)
dal.update_token_last_used(_token.id)
dal.commit()
try:
scim_filter = parse_scim_filter(filter)
@@ -522,37 +740,47 @@ def list_groups(
for group, ext_id in groups_with_ext_ids
]
return ScimListResponse(
totalResults=total,
startIndex=startIndex,
itemsPerPage=count,
Resources=resources,
return _build_list_response(
resources,
total,
startIndex,
count,
excluded=_parse_excluded_attributes(excludedAttributes),
)
@scim_router.get("/Groups/{group_id}", response_model=None)
def get_group(
group_id: str,
excludedAttributes: str | None = None,
_token: ScimToken = Depends(verify_scim_token),
provider: ScimProvider = Depends(_get_provider),
db_session: Session = Depends(get_session),
) -> ScimGroupResource | JSONResponse:
) -> ScimGroupResource | ScimJSONResponse:
"""Get a single group by ID."""
dal = ScimDAL(db_session)
dal.update_token_last_used(_token.id)
dal.commit()
result = _fetch_group_or_404(group_id, dal)
if isinstance(result, JSONResponse):
if isinstance(result, ScimJSONResponse):
return result
group = result
mapping = dal.get_group_mapping_by_group_id(group.id)
members = dal.get_group_members(group.id)
return provider.build_group_resource(
resource = provider.build_group_resource(
group, members, mapping.external_id if mapping else None
)
# RFC 7644 §3.4.2.5 — IdP may request certain attributes be omitted
excluded = _parse_excluded_attributes(excludedAttributes)
if excluded:
return ScimJSONResponse(content=_apply_exclusions(resource, excluded))
return _scim_resource_response(resource)
@scim_router.post("/Groups", status_code=201, response_model=None)
def create_group(
@@ -560,7 +788,7 @@ def create_group(
_token: ScimToken = Depends(verify_scim_token),
provider: ScimProvider = Depends(_get_provider),
db_session: Session = Depends(get_session),
) -> ScimGroupResource | JSONResponse:
) -> ScimGroupResource | ScimJSONResponse:
"""Create a new group from a SCIM provisioning request."""
dal = ScimDAL(db_session)
dal.update_token_last_used(_token.id)
@@ -596,7 +824,10 @@ def create_group(
dal.commit()
members = dal.get_group_members(db_group.id)
return provider.build_group_resource(db_group, members, external_id)
return _scim_resource_response(
provider.build_group_resource(db_group, members, external_id),
status_code=201,
)
@scim_router.put("/Groups/{group_id}", response_model=None)
@@ -606,13 +837,13 @@ def replace_group(
_token: ScimToken = Depends(verify_scim_token),
provider: ScimProvider = Depends(_get_provider),
db_session: Session = Depends(get_session),
) -> ScimGroupResource | JSONResponse:
) -> ScimGroupResource | ScimJSONResponse:
"""Replace a group entirely (RFC 7644 §3.5.1)."""
dal = ScimDAL(db_session)
dal.update_token_last_used(_token.id)
result = _fetch_group_or_404(group_id, dal)
if isinstance(result, JSONResponse):
if isinstance(result, ScimJSONResponse):
return result
group = result
@@ -627,7 +858,9 @@ def replace_group(
dal.commit()
members = dal.get_group_members(group.id)
return provider.build_group_resource(group, members, group_resource.externalId)
return _scim_resource_response(
provider.build_group_resource(group, members, group_resource.externalId)
)
@scim_router.patch("/Groups/{group_id}", response_model=None)
@@ -637,7 +870,7 @@ def patch_group(
_token: ScimToken = Depends(verify_scim_token),
provider: ScimProvider = Depends(_get_provider),
db_session: Session = Depends(get_session),
) -> ScimGroupResource | JSONResponse:
) -> ScimGroupResource | ScimJSONResponse:
"""Partially update a group (RFC 7644 §3.5.2).
Handles member add/remove operations from Okta and Azure AD.
@@ -646,7 +879,7 @@ def patch_group(
dal.update_token_last_used(_token.id)
result = _fetch_group_or_404(group_id, dal)
if isinstance(result, JSONResponse):
if isinstance(result, ScimJSONResponse):
return result
group = result
@@ -685,7 +918,9 @@ def patch_group(
dal.commit()
members = dal.get_group_members(group.id)
return provider.build_group_resource(group, members, patched.externalId)
return _scim_resource_response(
provider.build_group_resource(group, members, patched.externalId)
)
@scim_router.delete("/Groups/{group_id}", status_code=204, response_model=None)
@@ -693,13 +928,13 @@ def delete_group(
group_id: str,
_token: ScimToken = Depends(verify_scim_token),
db_session: Session = Depends(get_session),
) -> Response | JSONResponse:
) -> Response | ScimJSONResponse:
"""Delete a group (RFC 7644 §3.6)."""
dal = ScimDAL(db_session)
dal.update_token_last_used(_token.id)
result = _fetch_group_or_404(group_id, dal)
if isinstance(result, JSONResponse):
if isinstance(result, ScimJSONResponse):
return result
group = result

View File

@@ -7,12 +7,14 @@ SCIM protocol schemas follow the wire format defined in:
Admin API schemas are internal to Onyx and used for SCIM token management.
"""
from dataclasses import dataclass
from datetime import datetime
from enum import Enum
from pydantic import BaseModel
from pydantic import ConfigDict
from pydantic import Field
from pydantic import field_validator
# ---------------------------------------------------------------------------
@@ -31,6 +33,9 @@ SCIM_SERVICE_PROVIDER_CONFIG_SCHEMA = (
)
SCIM_RESOURCE_TYPE_SCHEMA = "urn:ietf:params:scim:schemas:core:2.0:ResourceType"
SCIM_SCHEMA_SCHEMA = "urn:ietf:params:scim:schemas:core:2.0:Schema"
SCIM_ENTERPRISE_USER_SCHEMA = (
"urn:ietf:params:scim:schemas:extension:enterprise:2.0:User"
)
# ---------------------------------------------------------------------------
@@ -70,6 +75,36 @@ class ScimUserGroupRef(BaseModel):
display: str | None = None
class ScimManagerRef(BaseModel):
"""Manager sub-attribute for the enterprise extension (RFC 7643 §4.3)."""
value: str | None = None
class ScimEnterpriseExtension(BaseModel):
"""Enterprise User extension attributes (RFC 7643 §4.3)."""
department: str | None = None
manager: ScimManagerRef | None = None
@dataclass
class ScimMappingFields:
"""Stored SCIM mapping fields that need to round-trip through the IdP.
Entra ID sends structured name components, email metadata, and enterprise
extension attributes that must be returned verbatim in subsequent GET
responses. These fields are persisted on ScimUserMapping and threaded
through the DAL, provider, and endpoint layers.
"""
department: str | None = None
manager: str | None = None
given_name: str | None = None
family_name: str | None = None
scim_emails_json: str | None = None
class ScimUserResource(BaseModel):
"""SCIM User resource representation (RFC 7643 §4.1).
@@ -78,6 +113,8 @@ class ScimUserResource(BaseModel):
to match the SCIM wire format (not Python convention).
"""
model_config = ConfigDict(populate_by_name=True)
schemas: list[str] = Field(default_factory=lambda: [SCIM_USER_SCHEMA])
id: str | None = None # Onyx's internal user ID, set on responses
externalId: str | None = None # IdP's identifier for this user
@@ -88,6 +125,10 @@ class ScimUserResource(BaseModel):
active: bool = True
groups: list[ScimUserGroupRef] = Field(default_factory=list)
meta: ScimMeta | None = None
enterprise_extension: ScimEnterpriseExtension | None = Field(
default=None,
alias="urn:ietf:params:scim:schemas:extension:enterprise:2.0:User",
)
class ScimGroupMember(BaseModel):
@@ -165,6 +206,19 @@ class ScimPatchOperation(BaseModel):
path: str | None = None
value: ScimPatchValue = None
@field_validator("op", mode="before")
@classmethod
def normalize_operation(cls, v: object) -> object:
"""Normalize op to lowercase for case-insensitive matching.
Some IdPs (e.g. Entra ID) send capitalized ops like ``"Replace"``
instead of ``"replace"``. This is safe for all providers since the
enum values are lowercase. If a future provider requires other
pre-processing quirks, move patch deserialization into the provider
subclass instead of adding more special cases here.
"""
return v.lower() if isinstance(v, str) else v
class ScimPatchRequest(BaseModel):
"""PATCH request body (RFC 7644 §3.5.2).

View File

@@ -14,8 +14,13 @@ responsible for persisting changes.
from __future__ import annotations
import logging
import re
from dataclasses import dataclass
from dataclasses import field
from typing import Any
from ee.onyx.server.scim.models import SCIM_ENTERPRISE_USER_SCHEMA
from ee.onyx.server.scim.models import ScimGroupMember
from ee.onyx.server.scim.models import ScimGroupResource
from ee.onyx.server.scim.models import ScimPatchOperation
@@ -24,6 +29,55 @@ from ee.onyx.server.scim.models import ScimPatchResourceValue
from ee.onyx.server.scim.models import ScimPatchValue
from ee.onyx.server.scim.models import ScimUserResource
logger = logging.getLogger(__name__)
# Lowercased enterprise extension URN for case-insensitive matching
_ENTERPRISE_URN_LOWER = SCIM_ENTERPRISE_USER_SCHEMA.lower()
# Pattern for email filter paths, e.g.:
# emails[primary eq true].value (Okta)
# emails[type eq "work"].value (Azure AD / Entra ID)
_EMAIL_FILTER_RE = re.compile(
r"^emails\[.+\]\.value$",
re.IGNORECASE,
)
# Pattern for member removal path: members[value eq "user-id"]
_MEMBER_FILTER_RE = re.compile(
r'^members\[value\s+eq\s+"([^"]+)"\]$',
re.IGNORECASE,
)
# ---------------------------------------------------------------------------
# Dispatch tables for user PATCH paths
#
# Maps lowercased SCIM path → (camelCase key, target dict name).
# "data" writes to the top-level resource dict, "name" writes to the
# name sub-object dict. This replaces the elif chains for simple fields.
# ---------------------------------------------------------------------------
_USER_REPLACE_PATHS: dict[str, tuple[str, str]] = {
"active": ("active", "data"),
"username": ("userName", "data"),
"externalid": ("externalId", "data"),
"name.givenname": ("givenName", "name"),
"name.familyname": ("familyName", "name"),
"name.formatted": ("formatted", "name"),
}
_USER_REMOVE_PATHS: dict[str, tuple[str, str]] = {
"externalid": ("externalId", "data"),
"name.givenname": ("givenName", "name"),
"name.familyname": ("familyName", "name"),
"name.formatted": ("formatted", "name"),
"displayname": ("displayName", "data"),
}
_GROUP_REPLACE_PATHS: dict[str, tuple[str, str]] = {
"displayname": ("displayName", "data"),
"externalid": ("externalId", "data"),
}
class ScimPatchError(Exception):
"""Raised when a PATCH operation cannot be applied."""
@@ -34,18 +88,25 @@ class ScimPatchError(Exception):
super().__init__(detail)
# Pattern for member removal path: members[value eq "user-id"]
_MEMBER_FILTER_RE = re.compile(
r'^members\[value\s+eq\s+"([^"]+)"\]$',
re.IGNORECASE,
)
@dataclass
class _UserPatchCtx:
"""Bundles the mutable state for user PATCH operations."""
data: dict[str, Any]
name_data: dict[str, Any]
ent_data: dict[str, str | None] = field(default_factory=dict)
# ---------------------------------------------------------------------------
# User PATCH
# ---------------------------------------------------------------------------
def apply_user_patch(
operations: list[ScimPatchOperation],
current: ScimUserResource,
ignored_paths: frozenset[str] = frozenset(),
) -> ScimUserResource:
) -> tuple[ScimUserResource, dict[str, str | None]]:
"""Apply SCIM PATCH operations to a user resource.
Args:
@@ -53,79 +114,185 @@ def apply_user_patch(
current: The current user resource state.
ignored_paths: SCIM attribute paths to silently skip (from provider).
Returns a new ``ScimUserResource`` with the modifications applied.
The original object is not mutated.
Returns:
A tuple of (modified user resource, enterprise extension data dict).
The enterprise dict has keys ``"department"`` and ``"manager"``
with values set only when a PATCH operation touched them.
Raises:
ScimPatchError: If an operation targets an unsupported path.
"""
data = current.model_dump()
name_data = data.get("name") or {}
ctx = _UserPatchCtx(data=data, name_data=data.get("name") or {})
for op in operations:
if op.op == ScimPatchOperationType.REPLACE:
_apply_user_replace(op, data, name_data, ignored_paths)
elif op.op == ScimPatchOperationType.ADD:
_apply_user_replace(op, data, name_data, ignored_paths)
if op.op in (ScimPatchOperationType.REPLACE, ScimPatchOperationType.ADD):
_apply_user_replace(op, ctx, ignored_paths)
elif op.op == ScimPatchOperationType.REMOVE:
_apply_user_remove(op, ctx, ignored_paths)
else:
raise ScimPatchError(
f"Unsupported operation '{op.op.value}' on User resource"
)
data["name"] = name_data
return ScimUserResource.model_validate(data)
ctx.data["name"] = ctx.name_data
return ScimUserResource.model_validate(ctx.data), ctx.ent_data
def _apply_user_replace(
op: ScimPatchOperation,
data: dict,
name_data: dict,
ctx: _UserPatchCtx,
ignored_paths: frozenset[str],
) -> None:
"""Apply a replace/add operation to user data."""
path = (op.path or "").lower()
if not path:
# No path — value is a resource dict of top-level attributes to set
# No path — value is a resource dict of top-level attributes to set.
if isinstance(op.value, ScimPatchResourceValue):
for key, val in op.value.model_dump(exclude_unset=True).items():
_set_user_field(key.lower(), val, data, name_data, ignored_paths)
_set_user_field(key.lower(), val, ctx, ignored_paths, strict=False)
else:
raise ScimPatchError("Replace without path requires a dict value")
return
_set_user_field(path, op.value, data, name_data, ignored_paths)
_set_user_field(path, op.value, ctx, ignored_paths)
def _apply_user_remove(
op: ScimPatchOperation,
ctx: _UserPatchCtx,
ignored_paths: frozenset[str],
) -> None:
"""Apply a remove operation to user data — clears the target field."""
path = (op.path or "").lower()
if not path:
raise ScimPatchError("Remove operation requires a path")
if path in ignored_paths:
return
entry = _USER_REMOVE_PATHS.get(path)
if entry:
key, target = entry
target_dict = ctx.data if target == "data" else ctx.name_data
target_dict[key] = None
return
raise ScimPatchError(f"Unsupported remove path '{path}' for User PATCH")
def _set_user_field(
path: str,
value: ScimPatchValue,
data: dict,
name_data: dict,
ctx: _UserPatchCtx,
ignored_paths: frozenset[str],
*,
strict: bool = True,
) -> None:
"""Set a single field on user data by SCIM path."""
"""Set a single field on user data by SCIM path.
Args:
strict: When ``False`` (path-less replace), unknown attributes are
silently skipped. When ``True`` (explicit path), they raise.
"""
if path in ignored_paths:
return
elif path == "active":
data["active"] = value
elif path == "username":
data["userName"] = value
elif path == "externalid":
data["externalId"] = value
elif path == "name.givenname":
name_data["givenName"] = value
elif path == "name.familyname":
name_data["familyName"] = value
elif path == "name.formatted":
name_data["formatted"] = value
elif path == "displayname":
data["displayName"] = value
name_data["formatted"] = value
# Simple field writes handled by the dispatch table
entry = _USER_REPLACE_PATHS.get(path)
if entry:
key, target = entry
target_dict = ctx.data if target == "data" else ctx.name_data
target_dict[key] = value
return
# displayName sets both the top-level field and the name.formatted sub-field
if path == "displayname":
ctx.data["displayName"] = value
ctx.name_data["formatted"] = value
elif path == "name":
if isinstance(value, dict):
for k, v in value.items():
ctx.name_data[k] = v
elif path == "emails":
if isinstance(value, list):
ctx.data["emails"] = value
elif _EMAIL_FILTER_RE.match(path):
_update_primary_email(ctx.data, value)
elif path.startswith(_ENTERPRISE_URN_LOWER):
_set_enterprise_field(path, value, ctx.ent_data)
elif not strict:
return
else:
raise ScimPatchError(f"Unsupported path '{path}' for User PATCH")
def _update_primary_email(data: dict[str, Any], value: ScimPatchValue) -> None:
"""Update the primary email entry via an email filter path."""
emails: list[dict] = data.get("emails") or []
for email_entry in emails:
if email_entry.get("primary"):
email_entry["value"] = value
break
else:
emails.append({"value": value, "type": "work", "primary": True})
data["emails"] = emails
def _to_dict(value: ScimPatchValue) -> dict | None:
"""Coerce a SCIM patch value to a plain dict if possible.
Pydantic may parse raw dicts as ``ScimPatchResourceValue`` (which uses
``extra="allow"``), so we also dump those back to a dict.
"""
if isinstance(value, dict):
return value
if isinstance(value, ScimPatchResourceValue):
return value.model_dump(exclude_unset=True)
return None
def _set_enterprise_field(
path: str,
value: ScimPatchValue,
ent_data: dict[str, str | None],
) -> None:
"""Handle enterprise extension URN paths or value dicts."""
# Full URN as key with dict value (path-less PATCH)
# e.g. key="urn:...:user", value={"department": "Eng", "manager": {...}}
if path == _ENTERPRISE_URN_LOWER:
d = _to_dict(value)
if d is not None:
if "department" in d:
ent_data["department"] = d["department"]
if "manager" in d:
mgr = d["manager"]
if isinstance(mgr, dict):
ent_data["manager"] = mgr.get("value")
return
# Dotted URN path, e.g. "urn:...:user:department"
suffix = path[len(_ENTERPRISE_URN_LOWER) :].lstrip(":").lower()
if suffix == "department":
ent_data["department"] = str(value) if value is not None else None
elif suffix == "manager":
d = _to_dict(value)
if d is not None:
ent_data["manager"] = d.get("value")
elif isinstance(value, str):
ent_data["manager"] = value
else:
# Unknown enterprise attributes are silently ignored rather than
# rejected — IdPs may send attributes we don't model yet.
logger.warning("Ignoring unknown enterprise extension attribute '%s'", suffix)
# ---------------------------------------------------------------------------
# Group PATCH
# ---------------------------------------------------------------------------
def apply_group_patch(
operations: list[ScimPatchOperation],
current: ScimGroupResource,
@@ -235,12 +402,14 @@ def _set_group_field(
"""Set a single field on group data by SCIM path."""
if path in ignored_paths:
return
elif path == "displayname":
data["displayName"] = value
elif path == "externalid":
data["externalId"] = value
else:
raise ScimPatchError(f"Unsupported path '{path}' for Group PATCH")
entry = _GROUP_REPLACE_PATHS.get(path)
if entry:
key, _ = entry
data[key] = value
return
raise ScimPatchError(f"Unsupported path '{path}' for Group PATCH")
def _apply_group_add(

View File

@@ -2,13 +2,22 @@
from __future__ import annotations
import json
import logging
from abc import ABC
from abc import abstractmethod
from uuid import UUID
from pydantic import ValidationError
from ee.onyx.server.scim.models import SCIM_ENTERPRISE_USER_SCHEMA
from ee.onyx.server.scim.models import SCIM_USER_SCHEMA
from ee.onyx.server.scim.models import ScimEmail
from ee.onyx.server.scim.models import ScimEnterpriseExtension
from ee.onyx.server.scim.models import ScimGroupMember
from ee.onyx.server.scim.models import ScimGroupResource
from ee.onyx.server.scim.models import ScimManagerRef
from ee.onyx.server.scim.models import ScimMappingFields
from ee.onyx.server.scim.models import ScimMeta
from ee.onyx.server.scim.models import ScimName
from ee.onyx.server.scim.models import ScimUserGroupRef
@@ -17,6 +26,17 @@ from onyx.db.models import User
from onyx.db.models import UserGroup
logger = logging.getLogger(__name__)
COMMON_IGNORED_PATCH_PATHS: frozenset[str] = frozenset(
{
"id",
"schemas",
"meta",
}
)
class ScimProvider(ABC):
"""Base class for provider-specific SCIM behavior.
@@ -41,12 +61,22 @@ class ScimProvider(ABC):
"""
...
@property
def user_schemas(self) -> list[str]:
"""Schema URIs to include in User resource responses.
Override in subclasses to advertise additional schemas (e.g. the
enterprise extension for Entra ID).
"""
return [SCIM_USER_SCHEMA]
def build_user_resource(
self,
user: User,
external_id: str | None = None,
groups: list[tuple[int, str]] | None = None,
scim_username: str | None = None,
fields: ScimMappingFields | None = None,
) -> ScimUserResource:
"""Build a SCIM User response from an Onyx User.
@@ -58,27 +88,48 @@ class ScimProvider(ABC):
for newly-created users.
scim_username: The original-case userName from the IdP. Falls
back to ``user.email`` (lowercase) when not available.
fields: Stored mapping fields that the IdP expects round-tripped.
"""
f = fields or ScimMappingFields()
group_refs = [
ScimUserGroupRef(value=str(gid), display=gname)
for gid, gname in (groups or [])
]
# Use original-case userName if stored, otherwise fall back to the
# lowercased email from the User model.
username = scim_username or user.email
return ScimUserResource(
# Build enterprise extension when at least one value is present.
# Dynamically add the enterprise URN to schemas per RFC 7643 §3.0.
enterprise_ext: ScimEnterpriseExtension | None = None
schemas = list(self.user_schemas)
if f.department is not None or f.manager is not None:
manager_ref = (
ScimManagerRef(value=f.manager) if f.manager is not None else None
)
enterprise_ext = ScimEnterpriseExtension(
department=f.department,
manager=manager_ref,
)
if SCIM_ENTERPRISE_USER_SCHEMA not in schemas:
schemas.append(SCIM_ENTERPRISE_USER_SCHEMA)
name = self.build_scim_name(user, f)
emails = _deserialize_emails(f.scim_emails_json, username)
resource = ScimUserResource(
schemas=schemas,
id=str(user.id),
externalId=external_id,
userName=username,
name=self._build_scim_name(user),
name=name,
displayName=user.personal_name,
emails=[ScimEmail(value=username, type="work", primary=True)],
emails=emails,
active=user.is_active,
groups=group_refs,
meta=ScimMeta(resourceType="User"),
)
resource.enterprise_extension = enterprise_ext
return resource
def build_group_resource(
self,
@@ -98,9 +149,24 @@ class ScimProvider(ABC):
meta=ScimMeta(resourceType="Group"),
)
@staticmethod
def _build_scim_name(user: User) -> ScimName | None:
"""Extract SCIM name components from a user's personal name."""
def build_scim_name(
self,
user: User,
fields: ScimMappingFields,
) -> ScimName | None:
"""Build SCIM name components for the response.
Round-trips stored ``given_name``/``family_name`` when available (so
the IdP gets back what it sent). Falls back to splitting
``personal_name`` for users provisioned before we stored components.
Providers may override for custom behavior.
"""
if fields.given_name is not None or fields.family_name is not None:
return ScimName(
givenName=fields.given_name,
familyName=fields.family_name,
formatted=user.personal_name,
)
if not user.personal_name:
return None
parts = user.personal_name.split(" ", 1)
@@ -111,6 +177,27 @@ class ScimProvider(ABC):
)
def _deserialize_emails(stored_json: str | None, username: str) -> list[ScimEmail]:
"""Deserialize stored email entries or build a default work email."""
if stored_json:
try:
entries = json.loads(stored_json)
if isinstance(entries, list) and entries:
return [ScimEmail(**e) for e in entries]
except (json.JSONDecodeError, TypeError, ValidationError):
logger.warning(
"Corrupt scim_emails_json, falling back to default: %s", stored_json
)
return [ScimEmail(value=username, type="work", primary=True)]
def serialize_emails(emails: list[ScimEmail]) -> str | None:
"""Serialize SCIM email entries to JSON for storage."""
if not emails:
return None
return json.dumps([e.model_dump(exclude_none=True) for e in emails])
def get_default_provider() -> ScimProvider:
"""Return the default SCIM provider.

View File

@@ -0,0 +1,36 @@
"""Entra ID (Azure AD) SCIM provider."""
from __future__ import annotations
from ee.onyx.server.scim.models import SCIM_ENTERPRISE_USER_SCHEMA
from ee.onyx.server.scim.models import SCIM_USER_SCHEMA
from ee.onyx.server.scim.providers.base import COMMON_IGNORED_PATCH_PATHS
from ee.onyx.server.scim.providers.base import ScimProvider
_ENTRA_IGNORED_PATCH_PATHS = COMMON_IGNORED_PATCH_PATHS
class EntraProvider(ScimProvider):
"""Entra ID (Azure AD) SCIM provider.
Entra behavioral notes:
- Sends capitalized PATCH ops (``"Add"``, ``"Replace"``, ``"Remove"``)
— handled by ``ScimPatchOperation.normalize_op`` validator.
- Sends the enterprise extension URN as a key in path-less PATCH value
dicts — handled by ``_set_enterprise_field`` in ``patch.py`` to
store department/manager values.
- Expects the enterprise extension schema in ``schemas`` arrays and
``/Schemas`` + ``/ResourceTypes`` discovery endpoints.
"""
@property
def name(self) -> str:
return "entra"
@property
def ignored_patch_paths(self) -> frozenset[str]:
return _ENTRA_IGNORED_PATCH_PATHS
@property
def user_schemas(self) -> list[str]:
return [SCIM_USER_SCHEMA, SCIM_ENTERPRISE_USER_SCHEMA]

View File

@@ -2,6 +2,7 @@
from __future__ import annotations
from ee.onyx.server.scim.providers.base import COMMON_IGNORED_PATCH_PATHS
from ee.onyx.server.scim.providers.base import ScimProvider
@@ -22,4 +23,4 @@ class OktaProvider(ScimProvider):
@property
def ignored_patch_paths(self) -> frozenset[str]:
return frozenset({"id", "schemas", "meta"})
return COMMON_IGNORED_PATCH_PATHS

View File

@@ -4,6 +4,7 @@ Pre-built at import time — these never change at runtime. Separated from
api.py to keep the endpoint module focused on request handling.
"""
from ee.onyx.server.scim.models import SCIM_ENTERPRISE_USER_SCHEMA
from ee.onyx.server.scim.models import SCIM_GROUP_SCHEMA
from ee.onyx.server.scim.models import SCIM_USER_SCHEMA
from ee.onyx.server.scim.models import ScimResourceType
@@ -20,6 +21,9 @@ USER_RESOURCE_TYPE = ScimResourceType.model_validate(
"endpoint": "/scim/v2/Users",
"description": "SCIM User resource",
"schema": SCIM_USER_SCHEMA,
"schemaExtensions": [
{"schema": SCIM_ENTERPRISE_USER_SCHEMA, "required": False}
],
}
)
@@ -104,6 +108,31 @@ USER_SCHEMA_DEF = ScimSchemaDefinition(
],
)
ENTERPRISE_USER_SCHEMA_DEF = ScimSchemaDefinition(
id=SCIM_ENTERPRISE_USER_SCHEMA,
name="EnterpriseUser",
description="Enterprise User extension (RFC 7643 §4.3)",
attributes=[
ScimSchemaAttribute(
name="department",
type="string",
description="Department.",
),
ScimSchemaAttribute(
name="manager",
type="complex",
description="The user's manager.",
subAttributes=[
ScimSchemaAttribute(
name="value",
type="string",
description="Manager user ID.",
),
],
),
],
)
GROUP_SCHEMA_DEF = ScimSchemaDefinition(
id=SCIM_GROUP_SCHEMA,
name="Group",

View File

@@ -58,16 +58,27 @@ class OAuthTokenManager:
if not user_token.token_data:
raise ValueError("No token data available for refresh")
if (
self.oauth_config.client_id is None
or self.oauth_config.client_secret is None
):
raise ValueError(
"OAuth client_id and client_secret are required for token refresh"
)
token_data = self._unwrap_token_data(user_token.token_data)
data: dict[str, str] = {
"grant_type": "refresh_token",
"refresh_token": token_data["refresh_token"],
"client_id": self._unwrap_sensitive_str(self.oauth_config.client_id),
"client_secret": self._unwrap_sensitive_str(
self.oauth_config.client_secret
),
}
response = requests.post(
self.oauth_config.token_url,
data={
"grant_type": "refresh_token",
"refresh_token": token_data["refresh_token"],
"client_id": self.oauth_config.client_id,
"client_secret": self.oauth_config.client_secret,
},
data=data,
headers={"Accept": "application/json"},
)
response.raise_for_status()
@@ -115,15 +126,26 @@ class OAuthTokenManager:
def exchange_code_for_token(self, code: str, redirect_uri: str) -> dict[str, Any]:
"""Exchange authorization code for access token"""
if (
self.oauth_config.client_id is None
or self.oauth_config.client_secret is None
):
raise ValueError(
"OAuth client_id and client_secret are required for code exchange"
)
data: dict[str, str] = {
"grant_type": "authorization_code",
"code": code,
"client_id": self._unwrap_sensitive_str(self.oauth_config.client_id),
"client_secret": self._unwrap_sensitive_str(
self.oauth_config.client_secret
),
"redirect_uri": redirect_uri,
}
response = requests.post(
self.oauth_config.token_url,
data={
"grant_type": "authorization_code",
"code": code,
"client_id": self.oauth_config.client_id,
"client_secret": self.oauth_config.client_secret,
"redirect_uri": redirect_uri,
},
data=data,
headers={"Accept": "application/json"},
)
response.raise_for_status()
@@ -141,8 +163,13 @@ class OAuthTokenManager:
oauth_config: OAuthConfig, redirect_uri: str, state: str
) -> str:
"""Build OAuth authorization URL"""
if oauth_config.client_id is None:
raise ValueError("OAuth client_id is required to build authorization URL")
params: dict[str, Any] = {
"client_id": oauth_config.client_id,
"client_id": OAuthTokenManager._unwrap_sensitive_str(
oauth_config.client_id
),
"redirect_uri": redirect_uri,
"response_type": "code",
"state": state,
@@ -161,6 +188,12 @@ class OAuthTokenManager:
return f"{oauth_config.authorization_url}{separator}{urlencode(params)}"
@staticmethod
def _unwrap_sensitive_str(value: SensitiveValue[str] | str) -> str:
if isinstance(value, SensitiveValue):
return value.get_value(apply_mask=False)
return value
@staticmethod
def _unwrap_token_data(
token_data: SensitiveValue[dict[str, Any]] | dict[str, Any],

View File

@@ -48,6 +48,7 @@ from onyx.document_index.opensearch.opensearch_document_index import (
OpenSearchDocumentIndex,
)
from onyx.document_index.vespa.vespa_document_index import VespaDocumentIndex
from onyx.indexing.models import IndexingSetting
from onyx.redis.redis_pool import get_redis_client
from shared_configs.configs import MULTI_TENANT
from shared_configs.contextvars import get_current_tenant_id
@@ -149,8 +150,12 @@ def migrate_chunks_from_vespa_to_opensearch_task(
try_insert_opensearch_tenant_migration_record_with_commit(db_session)
search_settings = get_current_search_settings(db_session)
tenant_state = TenantState(tenant_id=tenant_id, multitenant=MULTI_TENANT)
indexing_setting = IndexingSetting.from_db_model(search_settings)
opensearch_document_index = OpenSearchDocumentIndex(
index_name=search_settings.index_name, tenant_state=tenant_state
tenant_state=tenant_state,
index_name=search_settings.index_name,
embedding_dim=indexing_setting.final_embedding_dim,
embedding_precision=indexing_setting.embedding_precision,
)
vespa_document_index = VespaDocumentIndex(
index_name=search_settings.index_name,

View File

@@ -22,6 +22,7 @@ from onyx.document_index.vespa_constants import HIDDEN
from onyx.document_index.vespa_constants import IMAGE_FILE_NAME
from onyx.document_index.vespa_constants import METADATA_LIST
from onyx.document_index.vespa_constants import METADATA_SUFFIX
from onyx.document_index.vespa_constants import PERSONAS
from onyx.document_index.vespa_constants import PRIMARY_OWNERS
from onyx.document_index.vespa_constants import SECONDARY_OWNERS
from onyx.document_index.vespa_constants import SEMANTIC_IDENTIFIER
@@ -58,6 +59,7 @@ FIELDS_NEEDED_FOR_TRANSFORMATION: list[str] = [
METADATA_SUFFIX,
DOCUMENT_SETS,
USER_PROJECT,
PERSONAS,
PRIMARY_OWNERS,
SECONDARY_OWNERS,
ACCESS_CONTROL_LIST,
@@ -276,6 +278,7 @@ def transform_vespa_chunks_to_opensearch_chunks(
)
)
user_projects: list[int] | None = vespa_chunk.get(USER_PROJECT)
personas: list[int] | None = vespa_chunk.get(PERSONAS)
primary_owners: list[str] | None = vespa_chunk.get(PRIMARY_OWNERS)
secondary_owners: list[str] | None = vespa_chunk.get(SECONDARY_OWNERS)
@@ -325,6 +328,7 @@ def transform_vespa_chunks_to_opensearch_chunks(
metadata_suffix=metadata_suffix,
document_sets=document_sets,
user_projects=user_projects,
personas=personas,
primary_owners=primary_owners,
secondary_owners=secondary_owners,
tenant_id=tenant_state,

View File

@@ -12,6 +12,7 @@ from redis import Redis
from redis.lock import Lock as RedisLock
from retry import retry
from sqlalchemy import select
from sqlalchemy.orm import selectinload
from sqlalchemy.orm import Session
from onyx.background.celery.apps.app_base import task_logger
@@ -75,7 +76,7 @@ def _user_file_queued_key(user_file_id: str | UUID) -> str:
return f"{OnyxRedisLocks.USER_FILE_QUEUED_PREFIX}:{user_file_id}"
def _user_file_project_sync_lock_key(user_file_id: str | UUID) -> str:
def user_file_project_sync_lock_key(user_file_id: str | UUID) -> str:
return f"{OnyxRedisLocks.USER_FILE_PROJECT_SYNC_LOCK_PREFIX}:{user_file_id}"
@@ -712,7 +713,10 @@ def check_for_user_file_project_sync(self: Task, *, tenant_id: str) -> None:
db_session.execute(
select(UserFile.id).where(
sa.and_(
UserFile.needs_project_sync.is_(True),
sa.or_(
UserFile.needs_project_sync.is_(True),
UserFile.needs_persona_sync.is_(True),
),
UserFile.status == UserFileStatus.COMPLETED,
)
)
@@ -760,7 +764,7 @@ def process_single_user_file_project_sync(
redis_client.delete(_user_file_project_sync_queued_key(user_file_id))
file_lock: RedisLock = redis_client.lock(
_user_file_project_sync_lock_key(user_file_id),
user_file_project_sync_lock_key(user_file_id),
timeout=CELERY_USER_FILE_PROJECT_SYNC_LOCK_TIMEOUT,
)
@@ -772,7 +776,11 @@ def process_single_user_file_project_sync(
try:
with get_session_with_current_tenant() as db_session:
user_file = db_session.get(UserFile, _as_uuid(user_file_id))
user_file = db_session.execute(
select(UserFile)
.where(UserFile.id == _as_uuid(user_file_id))
.options(selectinload(UserFile.assistants))
).scalar_one_or_none()
if not user_file:
task_logger.info(
f"process_single_user_file_project_sync - User file not found id={user_file_id}"
@@ -800,13 +808,17 @@ def process_single_user_file_project_sync(
]
project_ids = [project.id for project in user_file.projects]
persona_ids = [p.id for p in user_file.assistants if not p.deleted]
for retry_document_index in retry_document_indices:
retry_document_index.update_single(
doc_id=str(user_file.id),
tenant_id=tenant_id,
chunk_count=user_file.chunk_count,
fields=None,
user_fields=VespaDocumentUserFields(user_projects=project_ids),
user_fields=VespaDocumentUserFields(
user_projects=project_ids,
personas=persona_ids,
),
)
task_logger.info(
@@ -814,6 +826,7 @@ def process_single_user_file_project_sync(
)
user_file.needs_project_sync = False
user_file.needs_persona_sync = False
user_file.last_project_sync_at = datetime.datetime.now(
datetime.timezone.utc
)

View File

@@ -3,7 +3,6 @@ import time
from collections.abc import Callable
from collections.abc import Generator
from queue import Empty
from typing import Any
from onyx.chat.citation_processor import CitationMapping
from onyx.chat.emitter import Emitter
@@ -163,13 +162,11 @@ class ChatStateContainer:
def run_chat_loop_with_state_containers(
func: Callable[..., None],
chat_loop_func: Callable[[Emitter, ChatStateContainer], None],
completion_callback: Callable[[ChatStateContainer], None],
is_connected: Callable[[], bool],
emitter: Emitter,
state_container: ChatStateContainer,
*args: Any,
**kwargs: Any,
) -> Generator[Packet, None]:
"""
Explicit wrapper function that runs a function in a background thread
@@ -180,19 +177,18 @@ def run_chat_loop_with_state_containers(
Args:
func: The function to wrap (should accept emitter and state_container as first and second args)
completion_callback: Callback function to call when the function completes
emitter: Emitter instance for sending packets
state_container: ChatStateContainer instance for accumulating state
is_connected: Callable that returns False when stop signal is set
*args: Additional positional arguments for func
**kwargs: Additional keyword arguments for func
Usage:
packets = run_chat_loop_with_state_containers(
my_func,
completion_callback=completion_callback,
emitter=emitter,
state_container=state_container,
is_connected=check_func,
arg1, arg2, kwarg1=value1
)
for packet in packets:
# Process packets
@@ -201,9 +197,7 @@ def run_chat_loop_with_state_containers(
def run_with_exception_capture() -> None:
try:
# Ensure state_container is passed explicitly, removing it from kwargs if present
kwargs_with_state = {**kwargs, "state_container": state_container}
func(emitter, *args, **kwargs_with_state)
chat_loop_func(emitter, state_container)
except Exception as e:
# If execution fails, emit an exception packet
emitter.emit(

View File

@@ -461,7 +461,7 @@ def _build_tool_call_response_history_message(
def convert_chat_history(
chat_history: list[ChatMessage],
files: list[ChatLoadedFile],
project_image_files: list[ChatLoadedFile],
context_image_files: list[ChatLoadedFile],
additional_context: str | None,
token_counter: Callable[[str], int],
tool_id_to_name_map: dict[int, str],
@@ -541,11 +541,11 @@ def convert_chat_history(
)
# Add the user message with image files attached
# If this is the last USER message, also include project_image_files
# Note: project image file tokens are NOT counted in the token count
# If this is the last USER message, also include context_image_files
# Note: context image file tokens are NOT counted in the token count
if idx == last_user_message_idx:
if project_image_files:
image_files.extend(project_image_files)
if context_image_files:
image_files.extend(context_image_files)
if additional_context:
simple_messages.append(

View File

@@ -15,10 +15,10 @@ from onyx.chat.emitter import Emitter
from onyx.chat.llm_step import extract_tool_calls_from_response_text
from onyx.chat.llm_step import run_llm_step
from onyx.chat.models import ChatMessageSimple
from onyx.chat.models import ExtractedProjectFiles
from onyx.chat.models import ContextFileMetadata
from onyx.chat.models import ExtractedContextFiles
from onyx.chat.models import FileToolMetadata
from onyx.chat.models import LlmStepResult
from onyx.chat.models import ProjectFileMetadata
from onyx.chat.models import ToolCallSimple
from onyx.chat.prompt_utils import build_reminder_message
from onyx.chat.prompt_utils import build_system_prompt
@@ -203,17 +203,17 @@ def _try_fallback_tool_extraction(
MAX_LLM_CYCLES = 6
def _build_project_file_citation_mapping(
project_file_metadata: list[ProjectFileMetadata],
def _build_context_file_citation_mapping(
file_metadata: list[ContextFileMetadata],
starting_citation_num: int = 1,
) -> CitationMapping:
"""Build citation mapping for project files.
"""Build citation mapping for context files.
Converts project file metadata into SearchDoc objects that can be cited.
Converts context file metadata into SearchDoc objects that can be cited.
Citation numbers start from the provided starting number.
Args:
project_file_metadata: List of project file metadata
file_metadata: List of context file metadata
starting_citation_num: Starting citation number (default: 1)
Returns:
@@ -221,8 +221,7 @@ def _build_project_file_citation_mapping(
"""
citation_mapping: CitationMapping = {}
for idx, file_meta in enumerate(project_file_metadata, start=starting_citation_num):
# Create a SearchDoc for each project file
for idx, file_meta in enumerate(file_metadata, start=starting_citation_num):
search_doc = SearchDoc(
document_id=file_meta.file_id,
chunk_ind=0,
@@ -242,29 +241,28 @@ def _build_project_file_citation_mapping(
def _build_project_message(
project_files: ExtractedProjectFiles | None,
context_files: ExtractedContextFiles | None,
token_counter: Callable[[str], int] | None,
) -> list[ChatMessageSimple]:
"""Build messages for project / tool-backed files.
"""Build messages for context-injected / tool-backed files.
Returns up to two messages:
1. The full-text project files message (if project_file_texts is populated).
1. The full-text files message (if file_texts is populated).
2. A lightweight metadata message for files the LLM should access via the
FileReaderTool (e.g. oversized chat-attached files or project files that
don't fit in context).
FileReaderTool (e.g. oversized files that don't fit in context).
"""
if not project_files:
if not context_files:
return []
messages: list[ChatMessageSimple] = []
if project_files.project_file_texts:
if context_files.file_texts:
messages.append(
_create_project_files_message(project_files, token_counter=None)
_create_context_files_message(context_files, token_counter=None)
)
if project_files.file_metadata_for_tool and token_counter:
if context_files.file_metadata_for_tool and token_counter:
messages.append(
_create_file_tool_metadata_message(
project_files.file_metadata_for_tool, token_counter
context_files.file_metadata_for_tool, token_counter
)
)
return messages
@@ -275,7 +273,7 @@ def construct_message_history(
custom_agent_prompt: ChatMessageSimple | None,
simple_chat_history: list[ChatMessageSimple],
reminder_message: ChatMessageSimple | None,
project_files: ExtractedProjectFiles | None,
context_files: ExtractedContextFiles | None,
available_tokens: int,
last_n_user_messages: int | None = None,
token_counter: Callable[[str], int] | None = None,
@@ -289,7 +287,7 @@ def construct_message_history(
# Build the project / file-metadata messages up front so we can use their
# actual token counts for the budget.
project_messages = _build_project_message(project_files, token_counter)
project_messages = _build_project_message(context_files, token_counter)
project_messages_tokens = sum(m.token_count for m in project_messages)
history_token_budget = available_tokens
@@ -445,17 +443,17 @@ def construct_message_history(
)
# Attach project images to the last user message
if project_files and project_files.project_image_files:
if context_files and context_files.image_files:
existing_images = last_user_message.image_files or []
last_user_message = ChatMessageSimple(
message=last_user_message.message,
token_count=last_user_message.token_count,
message_type=last_user_message.message_type,
image_files=existing_images + project_files.project_image_files,
image_files=existing_images + context_files.image_files,
)
# Build the final message list according to README ordering:
# [system], [history_before_last_user], [custom_agent], [project_files],
# [system], [history_before_last_user], [custom_agent], [context_files],
# [forgotten_files], [last_user_message], [messages_after_last_user], [reminder]
result = [system_prompt] if system_prompt else []
@@ -466,14 +464,14 @@ def construct_message_history(
if custom_agent_prompt:
result.append(custom_agent_prompt)
# 3. Add project files / file-metadata messages (inserted before last user message)
# 3. Add context files / file-metadata messages (inserted before last user message)
result.extend(project_messages)
# 4. Add forgotten-files metadata (right before the user's question)
if forgotten_files_message:
result.append(forgotten_files_message)
# 5. Add last user message (with project images attached)
# 5. Add last user message (with context images attached)
result.append(last_user_message)
# 6. Add messages after last user message (tool calls, responses, etc.)
@@ -547,11 +545,11 @@ def _create_file_tool_metadata_message(
)
def _create_project_files_message(
project_files: ExtractedProjectFiles,
def _create_context_files_message(
context_files: ExtractedContextFiles,
token_counter: Callable[[str], int] | None, # noqa: ARG001
) -> ChatMessageSimple:
"""Convert project files to a ChatMessageSimple message.
"""Convert context files to a ChatMessageSimple message.
Format follows the README specification for document representation.
"""
@@ -559,7 +557,7 @@ def _create_project_files_message(
# Format as documents JSON as described in README
documents_list = []
for idx, file_text in enumerate(project_files.project_file_texts, start=1):
for idx, file_text in enumerate(context_files.file_texts, start=1):
documents_list.append(
{
"document": idx,
@@ -570,10 +568,10 @@ def _create_project_files_message(
documents_json = json.dumps({"documents": documents_list}, indent=2)
message_content = f"Here are some documents provided for context, they may not all be relevant:\n{documents_json}"
# Use pre-calculated token count from project_files
# Use pre-calculated token count from context_files
return ChatMessageSimple(
message=message_content,
token_count=project_files.total_token_count,
token_count=context_files.total_token_count,
message_type=MessageType.USER,
)
@@ -584,7 +582,7 @@ def run_llm_loop(
simple_chat_history: list[ChatMessageSimple],
tools: list[Tool],
custom_agent_prompt: str | None,
project_files: ExtractedProjectFiles,
context_files: ExtractedContextFiles,
persona: Persona | None,
user_memory_context: UserMemoryContext | None,
llm: LLM,
@@ -627,9 +625,9 @@ def run_llm_loop(
# Add project file citation mappings if project files are present
project_citation_mapping: CitationMapping = {}
if project_files.project_file_metadata:
project_citation_mapping = _build_project_file_citation_mapping(
project_files.project_file_metadata
if context_files.file_metadata:
project_citation_mapping = _build_context_file_citation_mapping(
context_files.file_metadata
)
citation_processor.update_citation_mapping(project_citation_mapping)
@@ -647,7 +645,7 @@ def run_llm_loop(
# TODO allow citing of images in Projects. Since attached to the last user message, it has no text associated with it.
# One future workaround is to include the images as separate user messages with citation information and process those.
always_cite_documents: bool = bool(
project_files.project_as_filter or project_files.project_file_texts
context_files.use_as_search_filter or context_files.file_texts
)
should_cite_documents: bool = False
ran_image_gen: bool = False
@@ -788,7 +786,7 @@ def run_llm_loop(
custom_agent_prompt=custom_agent_prompt_msg,
simple_chat_history=simple_chat_history,
reminder_message=reminder_msg,
project_files=project_files,
context_files=context_files,
available_tokens=available_tokens,
token_counter=token_counter,
all_injected_file_metadata=all_injected_file_metadata,

View File

@@ -31,13 +31,6 @@ class CustomToolResponse(BaseModel):
tool_name: str
class ProjectSearchConfig(BaseModel):
"""Configuration for search tool availability in project context."""
search_usage: SearchToolUsage
disable_forced_tool: bool
class CreateChatSessionID(BaseModel):
chat_session_id: UUID
@@ -132,8 +125,8 @@ class ChatMessageSimple(BaseModel):
file_id: str | None = None
class ProjectFileMetadata(BaseModel):
"""Metadata for a project file to enable citation support."""
class ContextFileMetadata(BaseModel):
"""Metadata for a context-injected file to enable citation support."""
file_id: str
filename: str
@@ -167,20 +160,28 @@ class ChatHistoryResult(BaseModel):
all_injected_file_metadata: dict[str, FileToolMetadata]
class ExtractedProjectFiles(BaseModel):
project_file_texts: list[str]
project_image_files: list[ChatLoadedFile]
project_as_filter: bool
class ExtractedContextFiles(BaseModel):
"""Result of attempting to load user files (from a project or persona) into context."""
file_texts: list[str]
image_files: list[ChatLoadedFile]
use_as_search_filter: bool
total_token_count: int
# Metadata for project files to enable citations
project_file_metadata: list[ProjectFileMetadata]
# None if not a project
project_uncapped_token_count: int | None
# Lightweight metadata for files exposed via FileReaderTool
# (populated when files don't fit in context and vector DB is disabled)
# (populated when files don't fit in context and vector DB is disabled).
file_metadata: list[ContextFileMetadata]
uncapped_token_count: int | None
file_metadata_for_tool: list[FileToolMetadata] = []
class SearchParams(BaseModel):
"""Resolved search filter IDs and search-tool usage for a chat turn."""
search_project_id: int | None
search_persona_id: int | None
search_usage: SearchToolUsage
class LlmStepResult(BaseModel):
reasoning: str | None
answer: str | None

View File

@@ -3,6 +3,7 @@ IMPORTANT: familiarize yourself with the design concepts prior to contributing t
An overview can be found in the README.md file in this directory.
"""
import io
import re
import traceback
from collections.abc import Callable
@@ -33,11 +34,11 @@ from onyx.chat.models import ChatBasicResponse
from onyx.chat.models import ChatFullResponse
from onyx.chat.models import ChatLoadedFile
from onyx.chat.models import ChatMessageSimple
from onyx.chat.models import ContextFileMetadata
from onyx.chat.models import CreateChatSessionID
from onyx.chat.models import ExtractedProjectFiles
from onyx.chat.models import ExtractedContextFiles
from onyx.chat.models import FileToolMetadata
from onyx.chat.models import ProjectFileMetadata
from onyx.chat.models import ProjectSearchConfig
from onyx.chat.models import SearchParams
from onyx.chat.models import StreamingError
from onyx.chat.models import ToolCallResponse
from onyx.chat.prompt_utils import calculate_reserved_tokens
@@ -62,11 +63,12 @@ from onyx.db.models import ChatSession
from onyx.db.models import Persona
from onyx.db.models import User
from onyx.db.models import UserFile
from onyx.db.projects import get_project_token_count
from onyx.db.projects import get_user_files_from_project
from onyx.db.tools import get_tools
from onyx.deep_research.dr_loop import run_deep_research_llm_loop
from onyx.file_processing.extract_file_text import extract_file_text
from onyx.file_store.models import ChatFileType
from onyx.file_store.models import InMemoryChatFile
from onyx.file_store.utils import load_in_memory_chat_files
from onyx.file_store.utils import verify_user_files
from onyx.llm.factory import get_llm_for_persona
@@ -139,12 +141,12 @@ def _collect_available_file_ids(
pass
if project_id:
project_files = get_user_files_from_project(
user_files = get_user_files_from_project(
project_id=project_id,
user_id=user_id,
db_session=db_session,
)
for uf in project_files:
for uf in user_files:
user_file_ids.add(uf.id)
return _AvailableFiles(
@@ -192,9 +194,67 @@ def _convert_loaded_files_to_chat_files(
return chat_files
def _extract_project_file_texts_and_images(
def resolve_context_user_files(
persona: Persona,
project_id: int | None,
user_id: UUID | None,
db_session: Session,
) -> list[UserFile]:
"""Apply the precedence rule to decide which user files to load.
A custom persona fully supersedes the project. When a chat uses a
custom persona, the project is purely organisational — its files are
never loaded and never made searchable.
Custom persona → persona's own user_files (may be empty).
Default persona inside a project → project files.
Otherwise → empty list.
"""
if persona.id != DEFAULT_PERSONA_ID:
return list(persona.user_files) if persona.user_files else []
if project_id:
return get_user_files_from_project(
project_id=project_id,
user_id=user_id,
db_session=db_session,
)
return []
def _empty_extracted_context_files() -> ExtractedContextFiles:
return ExtractedContextFiles(
file_texts=[],
image_files=[],
use_as_search_filter=False,
total_token_count=0,
file_metadata=[],
uncapped_token_count=None,
)
def _extract_text_from_in_memory_file(f: InMemoryChatFile) -> str | None:
"""Extract text content from an InMemoryChatFile.
PLAIN_TEXT: the content is pre-extracted UTF-8 plaintext stored during
ingestion — decode directly.
DOC / CSV / other text types: the content is the original file bytes —
use extract_file_text which handles encoding detection and format parsing.
"""
try:
if f.file_type == ChatFileType.PLAIN_TEXT:
return f.content.decode("utf-8", errors="ignore").replace("\x00", "")
return extract_file_text(
file=io.BytesIO(f.content),
file_name=f.filename or "",
break_on_unprocessable=False,
)
except Exception:
logger.warning(f"Failed to extract text from file {f.file_id}", exc_info=True)
return None
def extract_context_files(
user_files: list[UserFile],
llm_max_context_window: int,
reserved_token_count: int,
db_session: Session,
@@ -203,8 +263,12 @@ def _extract_project_file_texts_and_images(
# 60% of the LLM's max context window. The other benefit is that for projects with
# more files, this makes it so that we don't throw away the history too quickly every time.
max_llm_context_percentage: float = 0.6,
) -> ExtractedProjectFiles:
"""Extract text content from project files if they fit within the context window.
) -> ExtractedContextFiles:
"""Load user files into context if they fit; otherwise flag for search.
The caller is responsible for deciding *which* user files to pass in
(project files, persona files, etc.). This function only cares about
the all-or-nothing fit check and the actual content loading.
Args:
project_id: The project ID to load files from
@@ -213,160 +277,95 @@ def _extract_project_file_texts_and_images(
reserved_token_count: Number of tokens to reserve for other content
db_session: Database session
max_llm_context_percentage: Maximum percentage of the LLM context window to use.
Returns:
ExtractedProjectFiles containing:
- List of text content strings from project files (text files only)
- List of image files from project (ChatLoadedFile objects)
- Project id if the the project should be provided as a filter in search or None if not.
ExtractedContextFiles containing:
- List of text content strings from context files (text files only)
- List of image files from context (ChatLoadedFile objects)
- Total token count of all extracted files
- File metadata for context files
- Uncapped token count of all extracted files
- File metadata for files that don't fit in context and vector DB is disabled
"""
# TODO I believe this is not handling all file types correctly.
project_as_filter = False
if not project_id:
return ExtractedProjectFiles(
project_file_texts=[],
project_image_files=[],
project_as_filter=False,
total_token_count=0,
project_file_metadata=[],
project_uncapped_token_count=None,
)
# TODO(yuhong): I believe this is not handling all file types correctly.
if not user_files:
return _empty_extracted_context_files()
aggregate_tokens = sum(uf.token_count or 0 for uf in user_files)
max_actual_tokens = (
llm_max_context_window - reserved_token_count
) * max_llm_context_percentage
# Calculate total token count for all user files in the project
project_tokens = get_project_token_count(
project_id=project_id,
user_id=user_id,
if aggregate_tokens >= max_actual_tokens:
tool_metadata = []
use_as_search_filter = not DISABLE_VECTOR_DB
if DISABLE_VECTOR_DB:
tool_metadata = _build_file_tool_metadata_for_user_files(user_files)
return ExtractedContextFiles(
file_texts=[],
image_files=[],
use_as_search_filter=use_as_search_filter,
total_token_count=0,
file_metadata=[],
uncapped_token_count=aggregate_tokens,
file_metadata_for_tool=tool_metadata,
)
# Files fit — load them into context
user_file_map = {str(uf.id): uf for uf in user_files}
in_memory_files = load_in_memory_chat_files(
user_file_ids=[uf.id for uf in user_files],
db_session=db_session,
)
project_file_texts: list[str] = []
project_image_files: list[ChatLoadedFile] = []
project_file_metadata: list[ProjectFileMetadata] = []
file_texts: list[str] = []
image_files: list[ChatLoadedFile] = []
file_metadata: list[ContextFileMetadata] = []
total_token_count = 0
if project_tokens < max_actual_tokens:
# Load project files into memory using cached plaintext when available
project_user_files = get_user_files_from_project(
project_id=project_id,
user_id=user_id,
db_session=db_session,
)
if project_user_files:
# Create a mapping from file_id to UserFile for token count lookup
user_file_map = {str(file.id): file for file in project_user_files}
project_file_ids = [file.id for file in project_user_files]
in_memory_project_files = load_in_memory_chat_files(
user_file_ids=project_file_ids,
db_session=db_session,
for f in in_memory_files:
uf = user_file_map.get(str(f.file_id))
if f.file_type.is_text_file():
text_content = _extract_text_from_in_memory_file(f)
if not text_content:
continue
file_texts.append(text_content)
file_metadata.append(
ContextFileMetadata(
file_id=str(f.file_id),
filename=f.filename or f"file_{f.file_id}",
file_content=text_content,
)
)
if uf and uf.token_count:
total_token_count += uf.token_count
elif f.file_type == ChatFileType.IMAGE:
token_count = uf.token_count if uf and uf.token_count else 0
total_token_count += token_count
image_files.append(
ChatLoadedFile(
file_id=f.file_id,
content=f.content,
file_type=f.file_type,
filename=f.filename,
content_text=None,
token_count=token_count,
)
)
# Extract text content from loaded files
for file in in_memory_project_files:
if file.file_type.is_text_file():
try:
text_content = file.content.decode("utf-8", errors="ignore")
# Strip null bytes
text_content = text_content.replace("\x00", "")
if text_content:
project_file_texts.append(text_content)
# Add metadata for citation support
project_file_metadata.append(
ProjectFileMetadata(
file_id=str(file.file_id),
filename=file.filename or f"file_{file.file_id}",
file_content=text_content,
)
)
# Add token count for text file
user_file = user_file_map.get(str(file.file_id))
if user_file and user_file.token_count:
total_token_count += user_file.token_count
except Exception:
# Skip files that can't be decoded
pass
elif file.file_type == ChatFileType.IMAGE:
# Convert InMemoryChatFile to ChatLoadedFile
user_file = user_file_map.get(str(file.file_id))
token_count = (
user_file.token_count
if user_file and user_file.token_count
else 0
)
total_token_count += token_count
chat_loaded_file = ChatLoadedFile(
file_id=file.file_id,
content=file.content,
file_type=file.file_type,
filename=file.filename,
content_text=None, # Images don't have text content
token_count=token_count,
)
project_image_files.append(chat_loaded_file)
else:
if DISABLE_VECTOR_DB:
# Without a vector DB we can't use project-as-filter search.
# Instead, build lightweight metadata so the LLM can call the
# FileReaderTool to inspect individual files on demand.
file_metadata_for_tool = _build_file_tool_metadata_for_project(
project_id=project_id,
user_id=user_id,
db_session=db_session,
)
return ExtractedProjectFiles(
project_file_texts=[],
project_image_files=[],
project_as_filter=False,
total_token_count=0,
project_file_metadata=[],
project_uncapped_token_count=project_tokens,
file_metadata_for_tool=file_metadata_for_tool,
)
project_as_filter = True
return ExtractedProjectFiles(
project_file_texts=project_file_texts,
project_image_files=project_image_files,
project_as_filter=project_as_filter,
return ExtractedContextFiles(
file_texts=file_texts,
image_files=image_files,
use_as_search_filter=False,
total_token_count=total_token_count,
project_file_metadata=project_file_metadata,
project_uncapped_token_count=project_tokens,
file_metadata=file_metadata,
uncapped_token_count=aggregate_tokens,
)
APPROX_CHARS_PER_TOKEN = 4
def _build_file_tool_metadata_for_project(
project_id: int,
user_id: UUID | None,
db_session: Session,
) -> list[FileToolMetadata]:
"""Build lightweight FileToolMetadata for every file in a project.
Used when files are too large to fit in context and the vector DB is
disabled, so the LLM needs to know which files it can read via the
FileReaderTool.
"""
project_user_files = get_user_files_from_project(
project_id=project_id,
user_id=user_id,
db_session=db_session,
)
return [
FileToolMetadata(
file_id=str(uf.id),
filename=uf.name,
approx_char_count=(uf.token_count or 0) * APPROX_CHARS_PER_TOKEN,
)
for uf in project_user_files
]
def _build_file_tool_metadata_for_user_files(
user_files: list[UserFile],
) -> list[FileToolMetadata]:
@@ -381,55 +380,46 @@ def _build_file_tool_metadata_for_user_files(
]
def _get_project_search_availability(
def determine_search_params(
persona_id: int,
project_id: int | None,
persona_id: int | None,
loaded_project_files: bool,
project_has_files: bool,
forced_tool_id: int | None,
search_tool_id: int | None,
) -> ProjectSearchConfig:
"""Determine search tool availability based on project context.
extracted_context_files: ExtractedContextFiles,
) -> SearchParams:
"""Decide which search filter IDs and search-tool usage apply for a chat turn.
Search is disabled when ALL of the following are true:
- User is in a project
- Using the default persona (not a custom agent)
- Project files are already loaded in context
A custom persona fully supersedes the project — project files are never
searchable and the search tool config is entirely controlled by the
persona. The project_id filter is only set for the default persona.
When search is disabled and the user tried to force the search tool,
that forcing is also disabled.
Returns AUTO (follow persona config) in all other cases.
For the default persona inside a project:
- Files overflow → ENABLED (vector DB scopes to these files)
- Files fit → DISABLED (content already in prompt)
- No files at all → DISABLED (nothing to search)
"""
# Not in a project, this should have no impact on search tool availability
if not project_id:
return ProjectSearchConfig(
search_usage=SearchToolUsage.AUTO, disable_forced_tool=False
)
is_custom_persona = persona_id != DEFAULT_PERSONA_ID
# Custom persona in project - let persona config decide
# Even if there are no files in the project, it's still guided by the persona config.
if persona_id != DEFAULT_PERSONA_ID:
return ProjectSearchConfig(
search_usage=SearchToolUsage.AUTO, disable_forced_tool=False
)
search_project_id: int | None = None
search_persona_id: int | None = None
if extracted_context_files.use_as_search_filter:
if is_custom_persona:
search_persona_id = persona_id
else:
search_project_id = project_id
# If in a project with the default persona and the files have been already loaded into the context or
# there are no files in the project, disable search as there is nothing to search for.
if loaded_project_files or not project_has_files:
user_forced_search = (
forced_tool_id is not None
and search_tool_id is not None
and forced_tool_id == search_tool_id
)
return ProjectSearchConfig(
search_usage=SearchToolUsage.DISABLED,
disable_forced_tool=user_forced_search,
)
search_usage = SearchToolUsage.AUTO
if not is_custom_persona and project_id:
has_context_files = bool(extracted_context_files.uncapped_token_count)
files_loaded_in_context = bool(extracted_context_files.file_texts)
# Default persona in a project with files, but also the files have not been loaded into the context already.
return ProjectSearchConfig(
search_usage=SearchToolUsage.ENABLED, disable_forced_tool=False
if extracted_context_files.use_as_search_filter:
search_usage = SearchToolUsage.ENABLED
elif files_loaded_in_context or not has_context_files:
search_usage = SearchToolUsage.DISABLED
return SearchParams(
search_project_id=search_project_id,
search_persona_id=search_persona_id,
search_usage=search_usage,
)
@@ -661,26 +651,37 @@ def handle_stream_message_objects(
user_memory_context=prompt_memory_context,
)
# Process projects, if all of the files fit in the context, it doesn't need to use RAG
extracted_project_files = _extract_project_file_texts_and_images(
# Determine which user files to use. A custom persona fully
# supersedes the project — project files are never loaded or
# searchable when a custom persona is in play. Only the default
# persona inside a project uses the project's files.
context_user_files = resolve_context_user_files(
persona=persona,
project_id=chat_session.project_id,
user_id=user_id,
db_session=db_session,
)
extracted_context_files = extract_context_files(
user_files=context_user_files,
llm_max_context_window=llm.config.max_input_tokens,
reserved_token_count=reserved_token_count,
db_session=db_session,
)
# When the vector DB is disabled, persona-attached user_files have no
# search pipeline path. Inject them as file_metadata_for_tool so the
# LLM can read them via the FileReaderTool.
if DISABLE_VECTOR_DB and persona.user_files:
persona_file_metadata = _build_file_tool_metadata_for_user_files(
persona.user_files
)
# Merge persona file metadata into the extracted project files
extracted_project_files.file_metadata_for_tool.extend(persona_file_metadata)
search_params = determine_search_params(
persona_id=persona.id,
project_id=chat_session.project_id,
extracted_context_files=extracted_context_files,
)
# Also grant access to persona-attached user files for FileReaderTool
if persona.user_files:
existing = set(available_files.user_file_ids)
for uf in persona.user_files:
if uf.id not in existing:
available_files.user_file_ids.append(uf.id)
# Build a mapping of tool_id to tool_name for history reconstruction
all_tools = get_tools(db_session)
tool_id_to_name_map = {tool.id: tool.name for tool in all_tools}
@@ -689,30 +690,17 @@ def handle_stream_message_objects(
None,
)
# Determine if search should be disabled for this project context
forced_tool_id = new_msg_req.forced_tool_id
project_search_config = _get_project_search_availability(
project_id=chat_session.project_id,
persona_id=persona.id,
loaded_project_files=bool(extracted_project_files.project_file_texts),
project_has_files=bool(
extracted_project_files.project_uncapped_token_count
),
forced_tool_id=new_msg_req.forced_tool_id,
search_tool_id=search_tool_id,
)
if project_search_config.disable_forced_tool:
if (
search_params.search_usage == SearchToolUsage.DISABLED
and forced_tool_id is not None
and search_tool_id is not None
and forced_tool_id == search_tool_id
):
forced_tool_id = None
emitter = get_default_emitter()
# Also grant access to persona-attached user files
if persona.user_files:
existing = set(available_files.user_file_ids)
for uf in persona.user_files:
if uf.id not in existing:
available_files.user_file_ids.append(uf.id)
# Construct tools based on the persona configurations
tool_dict = construct_tools(
persona=persona,
@@ -722,11 +710,8 @@ def handle_stream_message_objects(
llm=llm,
search_tool_config=SearchToolConfig(
user_selected_filters=new_msg_req.internal_search_filters,
project_id=(
chat_session.project_id
if extracted_project_files.project_as_filter
else None
),
project_id=search_params.search_project_id,
persona_id=search_params.search_persona_id,
bypass_acl=bypass_acl,
slack_context=slack_context,
enable_slack_search=_should_enable_slack_search(
@@ -744,7 +729,7 @@ def handle_stream_message_objects(
chat_file_ids=available_files.chat_file_ids,
),
allowed_tool_ids=new_msg_req.allowed_tool_ids,
search_usage_forcing_setting=project_search_config.search_usage,
search_usage_forcing_setting=search_params.search_usage,
)
tools: list[Tool] = []
for tool_list in tool_dict.values():
@@ -783,7 +768,7 @@ def handle_stream_message_objects(
chat_history_result = convert_chat_history(
chat_history=chat_history,
files=files,
project_image_files=extracted_project_files.project_image_files,
context_image_files=extracted_context_files.image_files,
additional_context=additional_context,
token_counter=token_counter,
tool_id_to_name_map=tool_id_to_name_map,
@@ -879,46 +864,54 @@ def handle_stream_message_objects(
# (user has already responded to a clarification question)
skip_clarification = is_last_assistant_message_clarification(chat_history)
# NOTE: we _could_ pass in a zero argument function since emitter and state_container
# are just passed in immediately anyways, but the abstraction is cleaner this way.
yield from run_chat_loop_with_state_containers(
run_deep_research_llm_loop,
lambda emitter, state_container: run_deep_research_llm_loop(
emitter=emitter,
state_container=state_container,
simple_chat_history=simple_chat_history,
tools=tools,
custom_agent_prompt=custom_agent_prompt,
llm=llm,
token_counter=token_counter,
db_session=db_session,
skip_clarification=skip_clarification,
user_identity=user_identity,
chat_session_id=str(chat_session.id),
all_injected_file_metadata=all_injected_file_metadata,
),
llm_loop_completion_callback,
is_connected=check_is_connected,
emitter=emitter,
state_container=state_container,
simple_chat_history=simple_chat_history,
tools=tools,
custom_agent_prompt=custom_agent_prompt,
llm=llm,
token_counter=token_counter,
db_session=db_session,
skip_clarification=skip_clarification,
user_identity=user_identity,
chat_session_id=str(chat_session.id),
all_injected_file_metadata=all_injected_file_metadata,
)
else:
yield from run_chat_loop_with_state_containers(
run_llm_loop,
lambda emitter, state_container: run_llm_loop(
emitter=emitter,
state_container=state_container,
simple_chat_history=simple_chat_history,
tools=tools,
custom_agent_prompt=custom_agent_prompt,
context_files=extracted_context_files,
persona=persona,
user_memory_context=user_memory_context,
llm=llm,
token_counter=token_counter,
db_session=db_session,
forced_tool_id=forced_tool_id,
user_identity=user_identity,
chat_session_id=str(chat_session.id),
chat_files=chat_files_for_tools,
include_citations=new_msg_req.include_citations,
all_injected_file_metadata=all_injected_file_metadata,
inject_memories_in_prompt=user.use_memories,
),
llm_loop_completion_callback,
is_connected=check_is_connected, # Not passed through to run_llm_loop
emitter=emitter,
state_container=state_container,
simple_chat_history=simple_chat_history,
tools=tools,
custom_agent_prompt=custom_agent_prompt,
project_files=extracted_project_files,
persona=persona,
user_memory_context=user_memory_context,
llm=llm,
token_counter=token_counter,
db_session=db_session,
forced_tool_id=forced_tool_id,
user_identity=user_identity,
chat_session_id=str(chat_session.id),
chat_files=chat_files_for_tools,
include_citations=new_msg_req.include_citations,
all_injected_file_metadata=all_injected_file_metadata,
inject_memories_in_prompt=user.use_memories,
)
except ValueError as e:

View File

@@ -210,10 +210,10 @@ AUTH_COOKIE_EXPIRE_TIME_SECONDS = int(
REQUIRE_EMAIL_VERIFICATION = (
os.environ.get("REQUIRE_EMAIL_VERIFICATION", "").lower() == "true"
)
SMTP_SERVER = os.environ.get("SMTP_SERVER") or "smtp.gmail.com"
SMTP_SERVER = os.environ.get("SMTP_SERVER") or ""
SMTP_PORT = int(os.environ.get("SMTP_PORT") or "587")
SMTP_USER = os.environ.get("SMTP_USER", "your-email@gmail.com")
SMTP_PASS = os.environ.get("SMTP_PASS", "your-gmail-password")
SMTP_USER = os.environ.get("SMTP_USER") or ""
SMTP_PASS = os.environ.get("SMTP_PASS") or ""
EMAIL_FROM = os.environ.get("EMAIL_FROM") or SMTP_USER
SENDGRID_API_KEY = os.environ.get("SENDGRID_API_KEY") or ""
@@ -294,6 +294,12 @@ ENABLE_OPENSEARCH_RETRIEVAL_FOR_ONYX = (
ENABLE_OPENSEARCH_INDEXING_FOR_ONYX
and os.environ.get("ENABLE_OPENSEARCH_RETRIEVAL_FOR_ONYX", "").lower() == "true"
)
# Whether we should check for and create an index if necessary every time we
# instantiate an OpenSearchDocumentIndex on multitenant cloud. Defaults to True.
VERIFY_CREATE_OPENSEARCH_INDEX_ON_INIT_MT = (
os.environ.get("VERIFY_CREATE_OPENSEARCH_INDEX_ON_INIT_MT", "true").lower()
== "true"
)
VESPA_HOST = os.environ.get("VESPA_HOST") or "localhost"
# NOTE: this is used if and only if the vespa config server is accessible via a

View File

@@ -16,6 +16,22 @@ from onyx.utils.retry_wrapper import retry_builder
logger = setup_logger()
_RATE_LIMIT_REASONS = {"userRateLimitExceeded", "rateLimitExceeded"}
def _is_rate_limit_error(error: HttpError) -> bool:
"""Google sometimes returns rate-limit errors as 403 with reason
'userRateLimitExceeded' instead of 429. This helper detects both."""
if error.resp.status == 429:
return True
if error.resp.status != 403:
return False
error_details = getattr(error, "error_details", None) or []
for detail in error_details:
if isinstance(detail, dict) and detail.get("reason") in _RATE_LIMIT_REASONS:
return True
return "userRateLimitExceeded" in str(error) or "rateLimitExceeded" in str(error)
# Google Drive APIs are quite flakey and may 500 for an
# extended period of time. This is now addressed by checkpointing.
@@ -57,7 +73,7 @@ def _execute_with_retry(request: Any) -> Any:
except HttpError as error:
attempt += 1
if error.resp.status == 429:
if _is_rate_limit_error(error):
# Attempt to get 'Retry-After' from headers
retry_after = error.resp.get("Retry-After")
if retry_after:
@@ -140,16 +156,16 @@ def _execute_single_retrieval(
)
logger.error(f"Error executing request: {e}")
raise e
elif _is_rate_limit_error(e):
results = _execute_with_retry(
lambda: retrieval_function(**request_kwargs).execute()
)
elif e.resp.status == 404 or e.resp.status == 403:
if continue_on_404_or_403:
logger.debug(f"Error executing request: {e}")
results = {}
else:
raise e
elif e.resp.status == 429:
results = _execute_with_retry(
lambda: retrieval_function(**request_kwargs).execute()
)
else:
logger.exception("Error executing request:")
raise e

View File

@@ -23,7 +23,6 @@ from cryptography.hazmat.primitives import hashes
from cryptography.hazmat.primitives import serialization
from cryptography.hazmat.primitives.serialization import pkcs12
from office365.graph_client import GraphClient # type: ignore[import-untyped]
from office365.intune.organizations.organization import Organization # type: ignore[import-untyped]
from office365.onedrive.driveitems.driveItem import DriveItem # type: ignore[import-untyped]
from office365.onedrive.sites.site import Site # type: ignore[import-untyped]
from office365.onedrive.sites.sites_with_root import SitesWithRoot # type: ignore[import-untyped]
@@ -147,7 +146,9 @@ class DriveItemData(BaseModel):
self.id,
ResourcePath("items", ResourcePath(self.drive_id, ResourcePath("drives"))),
)
return DriveItem(graph_client, path)
item = DriveItem(graph_client, path)
item.set_property("id", self.id)
return item
# The office365 library's ClientContext caches the access token from its
@@ -870,6 +871,56 @@ class SharepointConnector(
"Site URLs must be full Sharepoint URLs (e.g. https://your-tenant.sharepoint.com/sites/your-site or https://your-tenant.sharepoint.com/teams/your-team)"
)
def _extract_tenant_domain_from_sites(self) -> str | None:
"""Extract the tenant domain from configured site URLs.
Site URLs look like https://{tenant}.sharepoint.com/sites/... so the
tenant domain is the first label of the hostname.
"""
for site_url in self.sites:
try:
hostname = urlsplit(site_url.strip()).hostname
except ValueError:
continue
if not hostname:
continue
tenant = hostname.split(".")[0]
if tenant:
return tenant
logger.warning(f"No tenant domain found from {len(self.sites)} sites")
return None
def _resolve_tenant_domain_from_root_site(self) -> str:
"""Resolve tenant domain via GET /v1.0/sites/root which only requires
Sites.Read.All (a permission the connector already needs)."""
root_site = self.graph_client.sites.root.get().execute_query()
hostname = root_site.site_collection.hostname
if not hostname:
raise ConnectorValidationError(
"Could not determine tenant domain from root site"
)
tenant_domain = hostname.split(".")[0]
logger.info(
"Resolved tenant domain '%s' from root site hostname '%s'",
tenant_domain,
hostname,
)
return tenant_domain
def _resolve_tenant_domain(self) -> str:
"""Determine the tenant domain, preferring site URLs over a Graph API
call to avoid needing extra permissions."""
from_sites = self._extract_tenant_domain_from_sites()
if from_sites:
logger.info(
"Resolved tenant domain '%s' from site URLs",
from_sites,
)
return from_sites
logger.info("No site URLs available; resolving tenant domain from root site")
return self._resolve_tenant_domain_from_root_site()
@property
def graph_client(self) -> GraphClient:
if self._graph_client is None:
@@ -1587,6 +1638,11 @@ class SharepointConnector(
sp_private_key = credentials.get("sp_private_key")
sp_certificate_password = credentials.get("sp_certificate_password")
if not sp_client_id:
raise ConnectorValidationError("Client ID is required")
if not sp_directory_id:
raise ConnectorValidationError("Directory (tenant) ID is required")
authority_url = f"{self.authority_host}/{sp_directory_id}"
if auth_method == SharepointAuthMethod.CERTIFICATE.value:
@@ -1639,21 +1695,7 @@ class SharepointConnector(
_acquire_token_for_graph, environment=self._azure_environment
)
if auth_method == SharepointAuthMethod.CERTIFICATE.value:
org = self.graph_client.organization.get().execute_query()
if not org or len(org) == 0:
raise ConnectorValidationError("No organization found")
tenant_info: Organization = org[
0
] # Access first item directly from collection
if not tenant_info.verified_domains:
raise ConnectorValidationError("No verified domains found for tenant")
sp_tenant_domain = tenant_info.verified_domains[0].name
if not sp_tenant_domain:
raise ConnectorValidationError("No verified domains found for tenant")
# remove the .onmicrosoft.com part
self.sp_tenant_domain = sp_tenant_domain.split(".")[0]
self.sp_tenant_domain = self._resolve_tenant_domain()
return None
def _get_drive_names_for_site(self, site_url: str) -> list[str]:

View File

@@ -11,6 +11,7 @@ from dateutil import parser
from onyx.configs.app_configs import INDEX_BATCH_SIZE
from onyx.configs.constants import DocumentSource
from onyx.connectors.exceptions import ConnectorValidationError
from onyx.connectors.interfaces import GenerateDocumentsOutput
from onyx.connectors.interfaces import GenerateSlimDocumentOutput
from onyx.connectors.interfaces import LoadConnector
@@ -258,3 +259,21 @@ class SlabConnector(LoadConnector, PollConnector, SlimConnectorWithPermSync):
slim_doc_batch = []
if slim_doc_batch:
yield slim_doc_batch
def validate_connector_settings(self) -> None:
"""
Very basic validation, we could do more here
"""
if not self.base_url.startswith("https://") and not self.base_url.startswith(
"http://"
):
raise ConnectorValidationError(
"Base URL must start with https:// or http://"
)
try:
get_all_post_ids(self.slab_bot_token)
except ConnectorMissingCredentialError:
raise
except Exception as e:
raise ConnectorValidationError(f"Failed to fetch posts from Slab: {e}")

View File

@@ -72,6 +72,7 @@ class BaseFilters(BaseModel):
class UserFileFilters(BaseModel):
user_file_ids: list[UUID] | None = None
project_id: int | None = None
persona_id: int | None = None
class AssistantKnowledgeFilters(BaseModel):

View File

@@ -40,6 +40,7 @@ def _build_index_filters(
user_provided_filters: BaseFilters | None,
user: User, # Used for ACLs, anonymous users only see public docs
project_id: int | None,
persona_id: int | None,
user_file_ids: list[UUID] | None,
persona_document_sets: list[str] | None,
persona_time_cutoff: datetime | None,
@@ -118,6 +119,7 @@ def _build_index_filters(
final_filters = IndexFilters(
user_file_ids=user_file_ids,
project_id=project_id,
persona_id=persona_id,
source_type=source_filter,
document_set=document_set_filter,
time_cutoff=time_filter,
@@ -265,6 +267,8 @@ def search_pipeline(
llm: LLM | None = None,
# If a project ID is provided, it will be exclusively scoped to that project
project_id: int | None = None,
# If a persona_id is provided, search scopes to files attached to this persona
persona_id: int | None = None,
# Pre-fetched data — when provided, avoids DB queries (no session needed)
acl_filters: list[str] | None = None,
embedding_model: EmbeddingModel | None = None,
@@ -299,6 +303,7 @@ def search_pipeline(
user_provided_filters=chunk_search_request.user_selected_filters,
user=user,
project_id=project_id,
persona_id=persona_id,
user_file_ids=user_uploaded_persona_files,
persona_document_sets=persona_document_sets,
persona_time_cutoff=persona_time_cutoff,

View File

@@ -4,6 +4,13 @@ from sqlalchemy.orm import Session
from onyx.db.models import CodeInterpreterServer
def fetch_code_interpreter_server(
db_session: Session,
) -> CodeInterpreterServer:
server = db_session.scalars(select(CodeInterpreterServer)).one()
return server
def update_code_interpreter_server_enabled(
db_session: Session,
enabled: bool,

View File

@@ -21,8 +21,8 @@ from onyx.configs.app_configs import POSTGRES_POOL_RECYCLE
from onyx.configs.app_configs import POSTGRES_PORT
from onyx.configs.app_configs import POSTGRES_USE_NULL_POOL
from onyx.configs.app_configs import POSTGRES_USER
from onyx.db.engine.iam_auth import create_ssl_context_if_iam
from onyx.db.engine.iam_auth import get_iam_auth_token
from onyx.db.engine.iam_auth import ssl_context
from onyx.db.engine.sql_engine import ASYNC_DB_API
from onyx.db.engine.sql_engine import build_connection_string
from onyx.db.engine.sql_engine import is_valid_schema_name
@@ -66,7 +66,7 @@ def get_sqlalchemy_async_engine() -> AsyncEngine:
if app_name:
connect_args["server_settings"] = {"application_name": app_name}
connect_args["ssl"] = ssl_context
connect_args["ssl"] = create_ssl_context_if_iam()
engine_kwargs = {
"connect_args": connect_args,
@@ -97,7 +97,7 @@ def get_sqlalchemy_async_engine() -> AsyncEngine:
user = POSTGRES_USER
token = get_iam_auth_token(host, port, user, AWS_REGION_NAME)
cparams["password"] = token
cparams["ssl"] = ssl_context
cparams["ssl"] = create_ssl_context_if_iam()
return _ASYNC_ENGINE

View File

@@ -1,3 +1,4 @@
import functools
import os
import ssl
from typing import Any
@@ -48,11 +49,9 @@ def provide_iam_token(
configure_psycopg2_iam_auth(cparams, host, port, user, region)
@functools.cache
def create_ssl_context_if_iam() -> ssl.SSLContext | None:
"""Create an SSL context if IAM authentication is enabled, else return None."""
if USE_IAM_AUTH:
return ssl.create_default_context(cafile=SSL_CERT_FILE)
return None
ssl_context = create_ssl_context_if_iam()

View File

@@ -619,7 +619,7 @@ def update_default_provider(provider_id: int, db_session: Session) -> None:
_update_default_model(
db_session,
provider_id,
provider.default_model_name,
provider.default_model_name, # type: ignore[arg-type]
LLMModelFlowType.CHAT,
)

View File

@@ -2822,13 +2822,17 @@ class LLMProvider(Base):
custom_config: Mapped[dict[str, str] | None] = mapped_column(
postgresql.JSONB(), nullable=True
)
default_model_name: Mapped[str] = mapped_column(String)
# Deprecated: use LLMModelFlow with CHAT flow type instead
default_model_name: Mapped[str | None] = mapped_column(String, nullable=True)
deployment_name: Mapped[str | None] = mapped_column(String, nullable=True)
# should only be set for a single provider
is_default_provider: Mapped[bool | None] = mapped_column(Boolean, unique=True)
# Deprecated: use LLMModelFlow.is_default with CHAT flow type instead
is_default_provider: Mapped[bool | None] = mapped_column(Boolean, nullable=True)
# Deprecated: use LLMModelFlow.is_default with VISION flow type instead
is_default_vision_provider: Mapped[bool | None] = mapped_column(Boolean)
# Deprecated: use LLMModelFlow with VISION flow type instead
default_vision_model: Mapped[str | None] = mapped_column(String, nullable=True)
# EE only
is_public: Mapped[bool] = mapped_column(Boolean, nullable=False, default=True)
@@ -2879,6 +2883,7 @@ class ModelConfiguration(Base):
# - The end-user is configuring a model and chooses not to set a max-input-tokens limit.
max_input_tokens: Mapped[int | None] = mapped_column(Integer, nullable=True)
# Deprecated: use LLMModelFlow with VISION flow type instead
supports_image_input: Mapped[bool | None] = mapped_column(Boolean, nullable=True)
# Human-readable display name for the model.
@@ -4270,6 +4275,9 @@ class UserFile(Base):
needs_project_sync: Mapped[bool] = mapped_column(
Boolean, nullable=False, default=False
)
needs_persona_sync: Mapped[bool] = mapped_column(
Boolean, nullable=False, default=False
)
last_project_sync_at: Mapped[datetime.datetime | None] = mapped_column(
DateTime(timezone=True), nullable=True
)

View File

@@ -256,9 +256,6 @@ def create_update_persona(
try:
# Default persona validation
if create_persona_request.is_default_persona:
if not create_persona_request.is_public:
raise ValueError("Cannot make a default persona non public")
# Curators can edit default personas, but not make them
if user.role == UserRole.CURATOR or user.role == UserRole.GLOBAL_CURATOR:
pass
@@ -335,6 +332,7 @@ def update_persona_shared(
db_session: Session,
group_ids: list[int] | None = None,
is_public: bool | None = None,
label_ids: list[int] | None = None,
) -> None:
"""Simplified version of `create_update_persona` which only touches the
accessibility rather than any of the logic (e.g. prompt, connected data sources,
@@ -344,9 +342,7 @@ def update_persona_shared(
)
if user and user.role != UserRole.ADMIN and persona.user_id != user.id:
raise HTTPException(
status_code=403, detail="You don't have permission to modify this persona"
)
raise PermissionError("You don't have permission to modify this persona")
versioned_update_persona_access = fetch_versioned_implementation(
"onyx.db.persona", "update_persona_access"
@@ -360,6 +356,15 @@ def update_persona_shared(
group_ids=group_ids,
)
if label_ids is not None:
labels = (
db_session.query(PersonaLabel).filter(PersonaLabel.id.in_(label_ids)).all()
)
if len(labels) != len(label_ids):
raise ValueError("Some label IDs were not found in the database")
persona.labels.clear()
persona.labels = labels
db_session.commit()
@@ -765,6 +770,9 @@ def mark_persona_as_deleted(
) -> None:
persona = get_persona_by_id(persona_id=persona_id, user=user, db_session=db_session)
persona.deleted = True
affected_file_ids = [uf.id for uf in persona.user_files]
if affected_file_ids:
_mark_files_need_persona_sync(db_session, affected_file_ids)
db_session.commit()
@@ -776,11 +784,13 @@ def mark_persona_as_not_deleted(
persona = get_persona_by_id(
persona_id=persona_id, user=user, db_session=db_session, include_deleted=True
)
if persona.deleted:
persona.deleted = False
db_session.commit()
else:
if not persona.deleted:
raise ValueError(f"Persona with ID {persona_id} is not deleted.")
persona.deleted = False
affected_file_ids = [uf.id for uf in persona.user_files]
if affected_file_ids:
_mark_files_need_persona_sync(db_session, affected_file_ids)
db_session.commit()
def mark_delete_persona_by_name(
@@ -846,6 +856,20 @@ def update_personas_display_priority(
db_session.commit()
def _mark_files_need_persona_sync(
db_session: Session,
user_file_ids: list[UUID],
) -> None:
"""Flag the given UserFile rows so the background sync task picks them up
and updates their persona metadata in the vector DB."""
if not user_file_ids:
return
db_session.query(UserFile).filter(UserFile.id.in_(user_file_ids)).update(
{UserFile.needs_persona_sync: True},
synchronize_session=False,
)
def upsert_persona(
user: User | None,
name: str,
@@ -946,6 +970,8 @@ def upsert_persona(
labels = (
db_session.query(PersonaLabel).filter(PersonaLabel.id.in_(label_ids)).all()
)
if len(labels) != len(label_ids):
raise ValueError("Some label IDs were not found in the database")
# Fetch and attach hierarchy_nodes by IDs
hierarchy_nodes = None
@@ -1034,8 +1060,13 @@ def upsert_persona(
existing_persona.tools = tools or []
if user_file_ids is not None:
old_file_ids = {uf.id for uf in existing_persona.user_files}
new_file_ids = {uf.id for uf in (user_files or [])}
affected_file_ids = old_file_ids | new_file_ids
existing_persona.user_files.clear()
existing_persona.user_files = user_files or []
if affected_file_ids:
_mark_files_need_persona_sync(db_session, list(affected_file_ids))
if hierarchy_node_ids is not None:
existing_persona.hierarchy_nodes.clear()
@@ -1089,6 +1120,8 @@ def upsert_persona(
attached_documents=attached_documents or [],
)
db_session.add(new_persona)
if user_files:
_mark_files_need_persona_sync(db_session, [uf.id for uf in user_files])
persona = new_persona
if commit:
db_session.commit()
@@ -1135,9 +1168,6 @@ def update_persona_is_default(
db_session=db_session, persona_id=persona_id, user=user, get_editable=True
)
if not persona.is_public:
persona.is_public = True
persona.is_default_persona = is_default
db_session.commit()

View File

@@ -2,6 +2,7 @@ import random
from datetime import datetime
from datetime import timedelta
from logging import getLogger
from uuid import UUID
from onyx.configs.constants import MessageType
from onyx.db.chat import create_chat_session
@@ -13,18 +14,26 @@ from onyx.db.models import ChatSession
logger = getLogger(__name__)
def seed_chat_history(num_sessions: int, num_messages: int, days: int) -> None:
def seed_chat_history(
num_sessions: int,
num_messages: int,
days: int,
user_id: UUID | None = None,
persona_id: int | None = None,
) -> None:
"""Utility function to seed chat history for testing.
num_sessions: the number of sessions to seed
num_messages: the number of messages to seed per sessions
days: the number of days looking backwards from the current time over which to randomize
the times.
user_id: optional user to associate with sessions
persona_id: optional persona/assistant to associate with sessions
"""
with get_session_with_current_tenant() as db_session:
logger.info(f"Seeding {num_sessions} sessions.")
for y in range(0, num_sessions):
create_chat_session(db_session, f"pytest_session_{y}", None, None)
create_chat_session(db_session, f"pytest_session_{y}", user_id, persona_id)
# randomize all session times
logger.info(f"Seeding {num_messages} messages per session.")

View File

@@ -3,8 +3,10 @@ from uuid import UUID
from sqlalchemy import func
from sqlalchemy import select
from sqlalchemy.orm import selectinload
from sqlalchemy.orm import Session
from onyx.db.models import Project__UserFile
from onyx.db.models import UserFile
@@ -56,10 +58,34 @@ def fetch_user_project_ids_for_user_files(
db_session: Session,
) -> dict[str, list[int]]:
"""Fetch user project ids for specified user files"""
stmt = select(UserFile).where(UserFile.id.in_(user_file_ids))
user_file_uuid_ids = [UUID(user_file_id) for user_file_id in user_file_ids]
stmt = select(Project__UserFile.user_file_id, Project__UserFile.project_id).where(
Project__UserFile.user_file_id.in_(user_file_uuid_ids)
)
rows = db_session.execute(stmt).all()
user_file_id_to_project_ids: dict[str, list[int]] = {
user_file_id: [] for user_file_id in user_file_ids
}
for user_file_id, project_id in rows:
user_file_id_to_project_ids[str(user_file_id)].append(project_id)
return user_file_id_to_project_ids
def fetch_persona_ids_for_user_files(
user_file_ids: list[str],
db_session: Session,
) -> dict[str, list[int]]:
"""Fetch persona (assistant) ids for specified user files."""
stmt = (
select(UserFile)
.where(UserFile.id.in_(user_file_ids))
.options(selectinload(UserFile.assistants))
)
results = db_session.execute(stmt).scalars().all()
return {
str(user_file.id): [project.id for project in user_file.projects]
str(user_file.id): [persona.id for persona in user_file.assistants]
for user_file in results
}

View File

@@ -139,7 +139,7 @@ def generate_final_report(
custom_agent_prompt=None,
simple_chat_history=history,
reminder_message=reminder_message,
project_files=None,
context_files=None,
available_tokens=llm.config.max_input_tokens,
all_injected_file_metadata=all_injected_file_metadata,
)
@@ -257,7 +257,7 @@ def run_deep_research_llm_loop(
custom_agent_prompt=None,
simple_chat_history=simple_chat_history,
reminder_message=None,
project_files=None,
context_files=None,
available_tokens=available_tokens,
last_n_user_messages=MAX_USER_MESSAGES_FOR_CONTEXT,
all_injected_file_metadata=all_injected_file_metadata,
@@ -321,7 +321,7 @@ def run_deep_research_llm_loop(
custom_agent_prompt=None,
simple_chat_history=simple_chat_history + [reminder_message],
reminder_message=None,
project_files=None,
context_files=None,
available_tokens=available_tokens,
last_n_user_messages=MAX_USER_MESSAGES_FOR_CONTEXT + 1,
all_injected_file_metadata=all_injected_file_metadata,
@@ -485,7 +485,7 @@ def run_deep_research_llm_loop(
custom_agent_prompt=None,
simple_chat_history=simple_chat_history,
reminder_message=first_cycle_reminder_message,
project_files=None,
context_files=None,
available_tokens=available_tokens,
last_n_user_messages=MAX_USER_MESSAGES_FOR_CONTEXT,
all_injected_file_metadata=all_injected_file_metadata,

View File

@@ -11,6 +11,7 @@ from onyx.document_index.opensearch.opensearch_document_index import (
OpenSearchOldDocumentIndex,
)
from onyx.document_index.vespa.index import VespaIndex
from onyx.indexing.models import IndexingSetting
from shared_configs.configs import MULTI_TENANT
@@ -49,8 +50,11 @@ def get_default_document_index(
opensearch_retrieval_enabled = get_opensearch_retrieval_state(db_session)
if opensearch_retrieval_enabled:
indexing_setting = IndexingSetting.from_db_model(search_settings)
return OpenSearchOldDocumentIndex(
index_name=search_settings.index_name,
embedding_dim=indexing_setting.final_embedding_dim,
embedding_precision=indexing_setting.embedding_precision,
secondary_index_name=secondary_index_name,
large_chunks_enabled=search_settings.large_chunks_enabled,
secondary_large_chunks_enabled=secondary_large_chunks_enabled,
@@ -118,8 +122,11 @@ def get_all_document_indices(
)
opensearch_document_index: OpenSearchOldDocumentIndex | None = None
if ENABLE_OPENSEARCH_INDEXING_FOR_ONYX:
indexing_setting = IndexingSetting.from_db_model(search_settings)
opensearch_document_index = OpenSearchOldDocumentIndex(
index_name=search_settings.index_name,
embedding_dim=indexing_setting.final_embedding_dim,
embedding_precision=indexing_setting.embedding_precision,
secondary_index_name=None,
large_chunks_enabled=False,
secondary_large_chunks_enabled=None,

View File

@@ -121,6 +121,7 @@ class VespaDocumentUserFields:
"""
user_projects: list[int] | None = None
personas: list[int] | None = None
@dataclass

View File

@@ -148,6 +148,7 @@ class MetadataUpdateRequest(BaseModel):
hidden: bool | None = None
secondary_index_updated: bool | None = None
project_ids: set[int] | None = None
persona_ids: set[int] | None = None
class IndexRetrievalFilters(BaseModel):

View File

@@ -1,5 +1,7 @@
import logging
import time
from contextlib import AbstractContextManager
from contextlib import nullcontext
from typing import Any
from typing import Generic
from typing import TypeVar
@@ -83,22 +85,26 @@ def get_new_body_without_vectors(body: dict[str, Any]) -> dict[str, Any]:
return new_body
class OpenSearchClient:
"""Client for interacting with OpenSearch.
class OpenSearchClient(AbstractContextManager):
"""Client for interacting with OpenSearch for cluster-level operations.
OpenSearch's Python module has pretty bad typing support so this client
attempts to protect the rest of the codebase from this. As a consequence,
most methods here return the minimum data needed for the rest of Onyx, and
tend to rely on Exceptions to handle errors.
TODO(andrei): This class currently assumes the structure of the database
schema when it returns a DocumentChunk. Make the class, or at least the
search method, templated on the structure the caller can expect.
Args:
host: The host of the OpenSearch cluster.
port: The port of the OpenSearch cluster.
auth: The authentication credentials for the OpenSearch cluster. A tuple
of (username, password).
use_ssl: Whether to use SSL for the OpenSearch cluster. Defaults to
True.
verify_certs: Whether to verify the SSL certificates for the OpenSearch
cluster. Defaults to False.
ssl_show_warn: Whether to show warnings for SSL certificates. Defaults
to False.
timeout: The timeout for the OpenSearch cluster. Defaults to
DEFAULT_OPENSEARCH_CLIENT_TIMEOUT_S.
"""
def __init__(
self,
index_name: str,
host: str = OPENSEARCH_HOST,
port: int = OPENSEARCH_REST_API_PORT,
auth: tuple[str, str] = (OPENSEARCH_ADMIN_USERNAME, OPENSEARCH_ADMIN_PASSWORD),
@@ -107,9 +113,8 @@ class OpenSearchClient:
ssl_show_warn: bool = False,
timeout: int = DEFAULT_OPENSEARCH_CLIENT_TIMEOUT_S,
):
self._index_name = index_name
logger.debug(
f"Creating OpenSearch client for index {index_name} with host {host} and port {port} and timeout {timeout} seconds."
f"Creating OpenSearch client with host {host}, port {port} and timeout {timeout} seconds."
)
self._client = OpenSearch(
hosts=[{"host": host, "port": port}],
@@ -125,6 +130,142 @@ class OpenSearchClient:
# your request body that is less than this value.
timeout=timeout,
)
def __exit__(self, *_: Any) -> None:
self.close()
def __del__(self) -> None:
try:
self.close()
except Exception:
pass
@log_function_time(print_only=True, debug_only=True, include_args=True)
def create_search_pipeline(
self,
pipeline_id: str,
pipeline_body: dict[str, Any],
) -> None:
"""Creates a search pipeline.
See the OpenSearch documentation for more information on the search
pipeline body.
https://docs.opensearch.org/latest/search-plugins/search-pipelines/index/
Args:
pipeline_id: The ID of the search pipeline to create.
pipeline_body: The body of the search pipeline to create.
Raises:
Exception: There was an error creating the search pipeline.
"""
result = self._client.search_pipeline.put(id=pipeline_id, body=pipeline_body)
if not result.get("acknowledged", False):
raise RuntimeError(f"Failed to create search pipeline {pipeline_id}.")
@log_function_time(print_only=True, debug_only=True, include_args=True)
def delete_search_pipeline(self, pipeline_id: str) -> None:
"""Deletes a search pipeline.
Args:
pipeline_id: The ID of the search pipeline to delete.
Raises:
Exception: There was an error deleting the search pipeline.
"""
result = self._client.search_pipeline.delete(id=pipeline_id)
if not result.get("acknowledged", False):
raise RuntimeError(f"Failed to delete search pipeline {pipeline_id}.")
@log_function_time(print_only=True, debug_only=True, include_args=True)
def put_cluster_settings(self, settings: dict[str, Any]) -> bool:
"""Puts cluster settings.
Args:
settings: The settings to put.
Raises:
Exception: There was an error putting the cluster settings.
Returns:
True if the settings were put successfully, False otherwise.
"""
response = self._client.cluster.put_settings(body=settings)
if response.get("acknowledged", False):
logger.info("Successfully put cluster settings.")
return True
else:
logger.error(f"Failed to put cluster settings: {response}.")
return False
@log_function_time(print_only=True, debug_only=True)
def ping(self) -> bool:
"""Pings the OpenSearch cluster.
Returns:
True if OpenSearch could be reached, False if it could not.
"""
return self._client.ping()
@log_function_time(print_only=True, debug_only=True)
def close(self) -> None:
"""Closes the client.
Raises:
Exception: There was an error closing the client.
"""
self._client.close()
class OpenSearchIndexClient(OpenSearchClient):
"""Client for interacting with OpenSearch for index-level operations.
OpenSearch's Python module has pretty bad typing support so this client
attempts to protect the rest of the codebase from this. As a consequence,
most methods here return the minimum data needed for the rest of Onyx, and
tend to rely on Exceptions to handle errors.
TODO(andrei): This class currently assumes the structure of the database
schema when it returns a DocumentChunk. Make the class, or at least the
search method, templated on the structure the caller can expect.
Args:
index_name: The name of the index to interact with.
host: The host of the OpenSearch cluster.
port: The port of the OpenSearch cluster.
auth: The authentication credentials for the OpenSearch cluster. A tuple
of (username, password).
use_ssl: Whether to use SSL for the OpenSearch cluster. Defaults to
True.
verify_certs: Whether to verify the SSL certificates for the OpenSearch
cluster. Defaults to False.
ssl_show_warn: Whether to show warnings for SSL certificates. Defaults
to False.
timeout: The timeout for the OpenSearch cluster. Defaults to
DEFAULT_OPENSEARCH_CLIENT_TIMEOUT_S.
"""
def __init__(
self,
index_name: str,
host: str = OPENSEARCH_HOST,
port: int = OPENSEARCH_REST_API_PORT,
auth: tuple[str, str] = (OPENSEARCH_ADMIN_USERNAME, OPENSEARCH_ADMIN_PASSWORD),
use_ssl: bool = True,
verify_certs: bool = False,
ssl_show_warn: bool = False,
timeout: int = DEFAULT_OPENSEARCH_CLIENT_TIMEOUT_S,
):
super().__init__(
host=host,
port=port,
auth=auth,
use_ssl=use_ssl,
verify_certs=verify_certs,
ssl_show_warn=ssl_show_warn,
timeout=timeout,
)
self._index_name = index_name
logger.debug(
f"OpenSearch client created successfully for index {self._index_name}."
)
@@ -192,6 +333,38 @@ class OpenSearchClient:
"""
return self._client.indices.exists(index=self._index_name)
@log_function_time(print_only=True, debug_only=True, include_args=True)
def put_mapping(self, mappings: dict[str, Any]) -> None:
"""Updates the index mapping in an idempotent manner.
- Existing fields with the same definition: No-op (succeeds silently).
- New fields: Added to the index.
- Existing fields with different types: Raises exception (requires
reindex).
See the OpenSearch documentation for more information:
https://docs.opensearch.org/latest/api-reference/index-apis/put-mapping/
Args:
mappings: The complete mapping definition to apply. This will be
merged with existing mappings in the index.
Raises:
Exception: There was an error updating the mappings, such as
attempting to change the type of an existing field.
"""
logger.debug(
f"Putting mappings for index {self._index_name} with mappings {mappings}."
)
response = self._client.indices.put_mapping(
index=self._index_name, body=mappings
)
if not response.get("acknowledged", False):
raise RuntimeError(
f"Failed to put the mapping update for index {self._index_name}."
)
logger.debug(f"Successfully put mappings for index {self._index_name}.")
@log_function_time(print_only=True, debug_only=True, include_args=True)
def validate_index(self, expected_mappings: dict[str, Any]) -> bool:
"""Validates the index.
@@ -610,43 +783,6 @@ class OpenSearchClient:
)
return DocumentChunk.model_validate(document_chunk_source)
@log_function_time(print_only=True, debug_only=True, include_args=True)
def create_search_pipeline(
self,
pipeline_id: str,
pipeline_body: dict[str, Any],
) -> None:
"""Creates a search pipeline.
See the OpenSearch documentation for more information on the search
pipeline body.
https://docs.opensearch.org/latest/search-plugins/search-pipelines/index/
Args:
pipeline_id: The ID of the search pipeline to create.
pipeline_body: The body of the search pipeline to create.
Raises:
Exception: There was an error creating the search pipeline.
"""
result = self._client.search_pipeline.put(id=pipeline_id, body=pipeline_body)
if not result.get("acknowledged", False):
raise RuntimeError(f"Failed to create search pipeline {pipeline_id}.")
@log_function_time(print_only=True, debug_only=True, include_args=True)
def delete_search_pipeline(self, pipeline_id: str) -> None:
"""Deletes a search pipeline.
Args:
pipeline_id: The ID of the search pipeline to delete.
Raises:
Exception: There was an error deleting the search pipeline.
"""
result = self._client.search_pipeline.delete(id=pipeline_id)
if not result.get("acknowledged", False):
raise RuntimeError(f"Failed to delete search pipeline {pipeline_id}.")
@log_function_time(print_only=True, debug_only=True)
def search(
self, body: dict[str, Any], search_pipeline_id: str | None
@@ -807,48 +943,6 @@ class OpenSearchClient:
"""
self._client.indices.refresh(index=self._index_name)
@log_function_time(print_only=True, debug_only=True, include_args=True)
def put_cluster_settings(self, settings: dict[str, Any]) -> bool:
"""Puts cluster settings.
Args:
settings: The settings to put.
Raises:
Exception: There was an error putting the cluster settings.
Returns:
True if the settings were put successfully, False otherwise.
"""
response = self._client.cluster.put_settings(body=settings)
if response.get("acknowledged", False):
logger.info("Successfully put cluster settings.")
return True
else:
logger.error(f"Failed to put cluster settings: {response}.")
return False
@log_function_time(print_only=True, debug_only=True)
def ping(self) -> bool:
"""Pings the OpenSearch cluster.
Returns:
True if OpenSearch could be reached, False if it could not.
"""
return self._client.ping()
@log_function_time(print_only=True, debug_only=True)
def close(self) -> None:
"""Closes the client.
TODO(andrei): Can we have some way to auto close when the client no
longer has any references?
Raises:
Exception: There was an error closing the client.
"""
self._client.close()
def _get_hits_and_profile_from_search_result(
self, result: dict[str, Any]
) -> tuple[list[Any], int | None, bool | None, dict[str, Any], dict[str, Any]]:
@@ -945,14 +1039,7 @@ def wait_for_opensearch_with_timeout(
Returns:
True if OpenSearch is ready, False otherwise.
"""
made_client = False
try:
if client is None:
# NOTE: index_name does not matter because we are only using this object
# to ping.
# TODO(andrei): Make this better.
client = OpenSearchClient(index_name="")
made_client = True
with nullcontext(client) if client else OpenSearchClient() as client:
time_start = time.monotonic()
while True:
if client.ping():
@@ -969,7 +1056,3 @@ def wait_for_opensearch_with_timeout(
f"[OpenSearch] Readiness probe ongoing. elapsed={time_elapsed:.1f} timeout={wait_limit_s:.1f}"
)
time.sleep(wait_interval_s)
finally:
if made_client:
assert client is not None
client.close()

View File

@@ -7,6 +7,7 @@ from opensearchpy import NotFoundError
from onyx.access.models import DocumentAccess
from onyx.configs.app_configs import USING_AWS_MANAGED_OPENSEARCH
from onyx.configs.app_configs import VERIFY_CREATE_OPENSEARCH_INDEX_ON_INIT_MT
from onyx.configs.chat_configs import NUM_RETURNED_HITS
from onyx.configs.chat_configs import TITLE_CONTENT_RATIO
from onyx.configs.constants import PUBLIC_DOC_PAT
@@ -40,6 +41,7 @@ from onyx.document_index.interfaces_new import IndexingMetadata
from onyx.document_index.interfaces_new import MetadataUpdateRequest
from onyx.document_index.interfaces_new import TenantState
from onyx.document_index.opensearch.client import OpenSearchClient
from onyx.document_index.opensearch.client import OpenSearchIndexClient
from onyx.document_index.opensearch.client import SearchHit
from onyx.document_index.opensearch.cluster_settings import OPENSEARCH_CLUSTER_SETTINGS
from onyx.document_index.opensearch.schema import ACCESS_CONTROL_LIST_FIELD_NAME
@@ -50,6 +52,7 @@ from onyx.document_index.opensearch.schema import DocumentSchema
from onyx.document_index.opensearch.schema import get_opensearch_doc_chunk_id
from onyx.document_index.opensearch.schema import GLOBAL_BOOST_FIELD_NAME
from onyx.document_index.opensearch.schema import HIDDEN_FIELD_NAME
from onyx.document_index.opensearch.schema import PERSONAS_FIELD_NAME
from onyx.document_index.opensearch.schema import USER_PROJECTS_FIELD_NAME
from onyx.document_index.opensearch.search import DocumentQuery
from onyx.document_index.opensearch.search import (
@@ -92,6 +95,25 @@ def generate_opensearch_filtered_access_control_list(
return list(access_control_list)
def set_cluster_state(client: OpenSearchClient) -> None:
if not client.put_cluster_settings(settings=OPENSEARCH_CLUSTER_SETTINGS):
logger.error(
"Failed to put cluster settings. If the settings have never been set before, "
"this may cause unexpected index creation when indexing documents into an "
"index that does not exist, or may cause expected logs to not appear. If this "
"is not the first time running Onyx against this instance of OpenSearch, these "
"settings have likely already been set. Not taking any further action..."
)
client.create_search_pipeline(
pipeline_id=MIN_MAX_NORMALIZATION_PIPELINE_NAME,
pipeline_body=MIN_MAX_NORMALIZATION_PIPELINE_CONFIG,
)
client.create_search_pipeline(
pipeline_id=ZSCORE_NORMALIZATION_PIPELINE_NAME,
pipeline_body=ZSCORE_NORMALIZATION_PIPELINE_CONFIG,
)
def _convert_retrieved_opensearch_chunk_to_inference_chunk_uncleaned(
chunk: DocumentChunk,
score: float | None,
@@ -215,6 +237,7 @@ def _convert_onyx_chunk_to_opensearch_document(
# OpenSearch and it will not store any data at all for this field, which
# is different from supplying an empty list.
user_projects=chunk.user_project or None,
personas=chunk.personas or None,
primary_owners=get_experts_stores_representations(
chunk.source_document.primary_owners
),
@@ -246,6 +269,8 @@ class OpenSearchOldDocumentIndex(OldDocumentIndex):
def __init__(
self,
index_name: str,
embedding_dim: int,
embedding_precision: EmbeddingPrecision,
secondary_index_name: str | None,
large_chunks_enabled: bool, # noqa: ARG002
secondary_large_chunks_enabled: bool | None, # noqa: ARG002
@@ -256,10 +281,6 @@ class OpenSearchOldDocumentIndex(OldDocumentIndex):
index_name=index_name,
secondary_index_name=secondary_index_name,
)
if multitenant:
raise ValueError(
"Bug: OpenSearch is not yet ready for multitenant environments but something tried to use it."
)
if multitenant != MULTI_TENANT:
raise ValueError(
"Bug: Multitenant mismatch when initializing an OpenSearchDocumentIndex. "
@@ -267,8 +288,10 @@ class OpenSearchOldDocumentIndex(OldDocumentIndex):
)
tenant_id = get_current_tenant_id()
self._real_index = OpenSearchDocumentIndex(
index_name=index_name,
tenant_state=TenantState(tenant_id=tenant_id, multitenant=multitenant),
index_name=index_name,
embedding_dim=embedding_dim,
embedding_precision=embedding_precision,
)
@staticmethod
@@ -277,9 +300,8 @@ class OpenSearchOldDocumentIndex(OldDocumentIndex):
embedding_dims: list[int],
embedding_precisions: list[EmbeddingPrecision],
) -> None:
# TODO(andrei): Implement.
raise NotImplementedError(
"Multitenant index registration is not yet implemented for OpenSearch."
"Bug: Multitenant index registration is not supported for OpenSearch."
)
def ensure_indices_exist(
@@ -362,6 +384,11 @@ class OpenSearchOldDocumentIndex(OldDocumentIndex):
if user_fields and user_fields.user_projects
else None
),
persona_ids=(
set(user_fields.personas)
if user_fields and user_fields.personas
else None
),
)
try:
@@ -464,19 +491,37 @@ class OpenSearchDocumentIndex(DocumentIndex):
for an OpenSearch search engine instance. It handles the complete lifecycle
of document chunks within a specific OpenSearch index/schema.
Although not yet used in this way in the codebase, each kind of embedding
used should correspond to a different instance of this class, and therefore
a different index in OpenSearch.
Each kind of embedding used should correspond to a different instance of
this class, and therefore a different index in OpenSearch.
If in a multitenant environment and
VERIFY_CREATE_OPENSEARCH_INDEX_ON_INIT_MT, will verify and create the index
if necessary on initialization. This is because there is no logic which runs
on cluster restart which scans through all search settings over all tenants
and creates the relevant indices.
Args:
tenant_state: The tenant state of the caller.
index_name: The name of the index to interact with.
embedding_dim: The dimensionality of the embeddings used for the index.
embedding_precision: The precision of the embeddings used for the index.
"""
def __init__(
self,
index_name: str,
tenant_state: TenantState,
index_name: str,
embedding_dim: int,
embedding_precision: EmbeddingPrecision,
) -> None:
self._index_name: str = index_name
self._tenant_state: TenantState = tenant_state
self._os_client = OpenSearchClient(index_name=self._index_name)
self._client = OpenSearchIndexClient(index_name=self._index_name)
if self._tenant_state.multitenant and VERIFY_CREATE_OPENSEARCH_INDEX_ON_INIT_MT:
self.verify_and_create_index_if_necessary(
embedding_dim=embedding_dim, embedding_precision=embedding_precision
)
def verify_and_create_index_if_necessary(
self,
@@ -485,10 +530,15 @@ class OpenSearchDocumentIndex(DocumentIndex):
) -> None:
"""Verifies and creates the index if necessary.
Also puts the desired cluster settings.
Also puts the desired cluster settings if not in a multitenant
environment.
Also puts the desired search pipeline state, creating the pipelines if
they do not exist and updating them otherwise.
Also puts the desired search pipeline state if not in a multitenant
environment, creating the pipelines if they do not exist and updating
them otherwise.
In a multitenant environment, the above steps happen explicitly on
setup.
Args:
embedding_dim: Vector dimensionality for the vector similarity part
@@ -501,47 +551,38 @@ class OpenSearchDocumentIndex(DocumentIndex):
search pipelines.
"""
logger.debug(
f"[OpenSearchDocumentIndex] Verifying and creating index {self._index_name} if necessary, "
f"with embedding dimension {embedding_dim}."
f"[OpenSearchDocumentIndex] Verifying and creating index {self._index_name} if "
f"necessary, with embedding dimension {embedding_dim}."
)
if not self._tenant_state.multitenant:
set_cluster_state(self._client)
expected_mappings = DocumentSchema.get_document_schema(
embedding_dim, self._tenant_state.multitenant
)
if not self._os_client.put_cluster_settings(
settings=OPENSEARCH_CLUSTER_SETTINGS
):
logger.error(
f"Failed to put cluster settings for index {self._index_name}. If the settings have never been set before this "
"may cause unexpected index creation when indexing documents into an index that does not exist, or may cause "
"expected logs to not appear. If this is not the first time running Onyx against this instance of OpenSearch, "
"these settings have likely already been set. Not taking any further action..."
)
if not self._os_client.index_exists():
if not self._client.index_exists():
if USING_AWS_MANAGED_OPENSEARCH:
index_settings = (
DocumentSchema.get_index_settings_for_aws_managed_opensearch()
)
else:
index_settings = DocumentSchema.get_index_settings()
self._os_client.create_index(
self._client.create_index(
mappings=expected_mappings,
settings=index_settings,
)
if not self._os_client.validate_index(
expected_mappings=expected_mappings,
):
raise RuntimeError(
f"The index {self._index_name} is not valid. The expected mappings do not match the actual mappings."
)
self._os_client.create_search_pipeline(
pipeline_id=MIN_MAX_NORMALIZATION_PIPELINE_NAME,
pipeline_body=MIN_MAX_NORMALIZATION_PIPELINE_CONFIG,
)
self._os_client.create_search_pipeline(
pipeline_id=ZSCORE_NORMALIZATION_PIPELINE_NAME,
pipeline_body=ZSCORE_NORMALIZATION_PIPELINE_CONFIG,
)
else:
# Ensure schema is up to date by applying the current mappings.
try:
self._client.put_mapping(expected_mappings)
except Exception as e:
logger.error(
f"Failed to update mappings for index {self._index_name}. This likely means a "
f"field type was changed which requires reindexing. Error: {e}"
)
raise
def index(
self,
@@ -613,7 +654,7 @@ class OpenSearchDocumentIndex(DocumentIndex):
)
# Now index. This will raise if a chunk of the same ID exists, which
# we do not expect because we should have deleted all chunks.
self._os_client.bulk_index_documents(
self._client.bulk_index_documents(
documents=chunk_batch,
tenant_state=self._tenant_state,
)
@@ -653,7 +694,7 @@ class OpenSearchDocumentIndex(DocumentIndex):
tenant_state=self._tenant_state,
)
return self._os_client.delete_by_query(query_body)
return self._client.delete_by_query(query_body)
def update(
self,
@@ -709,6 +750,10 @@ class OpenSearchDocumentIndex(DocumentIndex):
properties_to_update[USER_PROJECTS_FIELD_NAME] = list(
update_request.project_ids
)
if update_request.persona_ids is not None:
properties_to_update[PERSONAS_FIELD_NAME] = list(
update_request.persona_ids
)
if not properties_to_update:
if len(update_request.document_ids) > 1:
@@ -749,7 +794,7 @@ class OpenSearchDocumentIndex(DocumentIndex):
document_id=doc_id,
chunk_index=chunk_index,
)
self._os_client.update_document(
self._client.update_document(
document_chunk_id=document_chunk_id,
properties_to_update=properties_to_update,
)
@@ -788,7 +833,7 @@ class OpenSearchDocumentIndex(DocumentIndex):
min_chunk_index=chunk_request.min_chunk_ind,
max_chunk_index=chunk_request.max_chunk_ind,
)
search_hits = self._os_client.search(
search_hits = self._client.search(
body=query_body,
search_pipeline_id=None,
)
@@ -838,7 +883,7 @@ class OpenSearchDocumentIndex(DocumentIndex):
# NOTE: Using z-score normalization here because it's better for hybrid search from a theoretical standpoint.
# Empirically on a small dataset of up to 10K docs, it's not very different. Likely more impactful at scale.
# https://opensearch.org/blog/introducing-the-z-score-normalization-technique-for-hybrid-search/
search_hits: list[SearchHit[DocumentChunk]] = self._os_client.search(
search_hits: list[SearchHit[DocumentChunk]] = self._client.search(
body=query_body,
search_pipeline_id=ZSCORE_NORMALIZATION_PIPELINE_NAME,
)
@@ -870,7 +915,7 @@ class OpenSearchDocumentIndex(DocumentIndex):
index_filters=filters,
num_to_retrieve=num_to_retrieve,
)
search_hits: list[SearchHit[DocumentChunk]] = self._os_client.search(
search_hits: list[SearchHit[DocumentChunk]] = self._client.search(
body=query_body,
search_pipeline_id=None,
)
@@ -898,6 +943,6 @@ class OpenSearchDocumentIndex(DocumentIndex):
# Do not raise if the document already exists, just update. This is
# because the document may already have been indexed during the
# OpenSearch transition period.
self._os_client.bulk_index_documents(
self._client.bulk_index_documents(
documents=chunks, tenant_state=self._tenant_state, update_if_exists=True
)

View File

@@ -41,6 +41,7 @@ IMAGE_FILE_ID_FIELD_NAME = "image_file_id"
SOURCE_LINKS_FIELD_NAME = "source_links"
DOCUMENT_SETS_FIELD_NAME = "document_sets"
USER_PROJECTS_FIELD_NAME = "user_projects"
PERSONAS_FIELD_NAME = "personas"
DOCUMENT_ID_FIELD_NAME = "document_id"
CHUNK_INDEX_FIELD_NAME = "chunk_index"
MAX_CHUNK_SIZE_FIELD_NAME = "max_chunk_size"
@@ -156,6 +157,7 @@ class DocumentChunk(BaseModel):
document_sets: list[str] | None = None
user_projects: list[int] | None = None
personas: list[int] | None = None
primary_owners: list[str] | None = None
secondary_owners: list[str] | None = None
@@ -485,6 +487,7 @@ class DocumentSchema:
# Product-specific fields.
DOCUMENT_SETS_FIELD_NAME: {"type": "keyword"},
USER_PROJECTS_FIELD_NAME: {"type": "integer"},
PERSONAS_FIELD_NAME: {"type": "integer"},
PRIMARY_OWNERS_FIELD_NAME: {"type": "keyword"},
SECONDARY_OWNERS_FIELD_NAME: {"type": "keyword"},
# OpenSearch metadata fields.

View File

@@ -28,6 +28,7 @@ from onyx.document_index.opensearch.schema import HIDDEN_FIELD_NAME
from onyx.document_index.opensearch.schema import LAST_UPDATED_FIELD_NAME
from onyx.document_index.opensearch.schema import MAX_CHUNK_SIZE_FIELD_NAME
from onyx.document_index.opensearch.schema import METADATA_LIST_FIELD_NAME
from onyx.document_index.opensearch.schema import PERSONAS_FIELD_NAME
from onyx.document_index.opensearch.schema import PUBLIC_FIELD_NAME
from onyx.document_index.opensearch.schema import set_or_convert_timezone_to_utc
from onyx.document_index.opensearch.schema import SOURCE_TYPE_FIELD_NAME
@@ -144,6 +145,7 @@ class DocumentQuery:
document_sets=index_filters.document_set or [],
user_file_ids=index_filters.user_file_ids or [],
project_id=index_filters.project_id,
persona_id=index_filters.persona_id,
time_cutoff=index_filters.time_cutoff,
min_chunk_index=min_chunk_index,
max_chunk_index=max_chunk_index,
@@ -202,6 +204,7 @@ class DocumentQuery:
document_sets=[],
user_file_ids=[],
project_id=None,
persona_id=None,
time_cutoff=None,
min_chunk_index=None,
max_chunk_index=None,
@@ -267,6 +270,7 @@ class DocumentQuery:
document_sets=index_filters.document_set or [],
user_file_ids=index_filters.user_file_ids or [],
project_id=index_filters.project_id,
persona_id=index_filters.persona_id,
time_cutoff=index_filters.time_cutoff,
min_chunk_index=None,
max_chunk_index=None,
@@ -334,6 +338,7 @@ class DocumentQuery:
document_sets=index_filters.document_set or [],
user_file_ids=index_filters.user_file_ids or [],
project_id=index_filters.project_id,
persona_id=index_filters.persona_id,
time_cutoff=index_filters.time_cutoff,
min_chunk_index=None,
max_chunk_index=None,
@@ -496,6 +501,7 @@ class DocumentQuery:
document_sets: list[str],
user_file_ids: list[UUID],
project_id: int | None,
persona_id: int | None,
time_cutoff: datetime | None,
min_chunk_index: int | None,
max_chunk_index: int | None,
@@ -530,6 +536,8 @@ class DocumentQuery:
retrieved.
project_id: If not None, only documents with this project ID in user
projects will be retrieved.
persona_id: If not None, only documents whose personas array
contains this persona ID will be retrieved.
time_cutoff: Time cutoff for the documents to retrieve. If not None,
Documents which were last updated before this date will not be
returned. For documents which do not have a value for their last
@@ -627,6 +635,9 @@ class DocumentQuery:
)
return user_project_filter
def _get_persona_filter(persona_id: int) -> dict[str, Any]:
return {"term": {PERSONAS_FIELD_NAME: {"value": persona_id}}}
def _get_time_cutoff_filter(time_cutoff: datetime) -> dict[str, Any]:
# Convert to UTC if not already so the cutoff is comparable to the
# document data.
@@ -780,6 +791,9 @@ class DocumentQuery:
# document's user projects list.
filter_clauses.append(_get_user_project_filter(project_id))
if persona_id is not None:
filter_clauses.append(_get_persona_filter(persona_id))
if time_cutoff is not None:
# If a time cutoff is provided, the caller will only retrieve
# documents where the document was last updated at or after the time

View File

@@ -181,6 +181,11 @@ schema {{ schema_name }} {
rank: filter
attribute: fast-search
}
field personas type array<int> {
indexing: summary | attribute
rank: filter
attribute: fast-search
}
}
# If using different tokenization settings, the fieldset has to be removed, and the field must

View File

@@ -689,6 +689,9 @@ class VespaIndex(DocumentIndex):
project_ids: set[int] | None = None
if user_fields is not None and user_fields.user_projects is not None:
project_ids = set(user_fields.user_projects)
persona_ids: set[int] | None = None
if user_fields is not None and user_fields.personas is not None:
persona_ids = set(user_fields.personas)
update_request = MetadataUpdateRequest(
document_ids=[doc_id],
doc_id_to_chunk_cnt={
@@ -699,6 +702,7 @@ class VespaIndex(DocumentIndex):
boost=fields.boost if fields is not None else None,
hidden=fields.hidden if fields is not None else None,
project_ids=project_ids,
persona_ids=persona_ids,
)
vespa_document_index.update([update_request])

View File

@@ -46,6 +46,7 @@ from onyx.document_index.vespa_constants import METADATA
from onyx.document_index.vespa_constants import METADATA_LIST
from onyx.document_index.vespa_constants import METADATA_SUFFIX
from onyx.document_index.vespa_constants import NUM_THREADS
from onyx.document_index.vespa_constants import PERSONAS
from onyx.document_index.vespa_constants import PRIMARY_OWNERS
from onyx.document_index.vespa_constants import SECONDARY_OWNERS
from onyx.document_index.vespa_constants import SECTION_CONTINUATION
@@ -218,6 +219,7 @@ def _index_vespa_chunk(
# still called `image_file_name` in Vespa for backwards compatibility
IMAGE_FILE_NAME: chunk.image_file_id,
USER_PROJECT: chunk.user_project if chunk.user_project is not None else [],
PERSONAS: chunk.personas if chunk.personas is not None else [],
BOOST: chunk.boost,
AGGREGATED_CHUNK_BOOST_FACTOR: chunk.aggregated_chunk_boost_factor,
}

View File

@@ -12,6 +12,7 @@ from onyx.document_index.vespa_constants import DOCUMENT_ID
from onyx.document_index.vespa_constants import DOCUMENT_SETS
from onyx.document_index.vespa_constants import HIDDEN
from onyx.document_index.vespa_constants import METADATA_LIST
from onyx.document_index.vespa_constants import PERSONAS
from onyx.document_index.vespa_constants import SOURCE_TYPE
from onyx.document_index.vespa_constants import TENANT_ID
from onyx.document_index.vespa_constants import USER_PROJECT
@@ -149,6 +150,18 @@ def build_vespa_filters(
# Vespa YQL 'contains' expects a string literal; quote the integer
return f'({USER_PROJECT} contains "{pid}") and '
def _build_persona_filter(
persona_id: int | None,
) -> str:
if persona_id is None:
return ""
try:
pid = int(persona_id)
except Exception:
logger.warning(f"Invalid persona ID: {persona_id}")
return ""
return f'({PERSONAS} contains "{pid}") and '
# Start building the filter string
filter_str = f"!({HIDDEN}=true) and " if not include_hidden else ""
@@ -192,6 +205,9 @@ def build_vespa_filters(
# User project filter (array<int> attribute membership)
filter_str += _build_user_project_filter(filters.project_id)
# Persona filter (array<int> attribute membership)
filter_str += _build_persona_filter(filters.persona_id)
# Time filter
filter_str += _build_time_filter(filters.time_cutoff)

View File

@@ -183,6 +183,10 @@ def _update_single_chunk(
model_config = {"frozen": True}
assign: list[int]
class _Personas(BaseModel):
model_config = {"frozen": True}
assign: list[int]
class _VespaPutFields(BaseModel):
model_config = {"frozen": True}
# The names of these fields are based the Vespa schema. Changes to the
@@ -193,6 +197,7 @@ def _update_single_chunk(
access_control_list: _AccessControl | None = None
hidden: _Hidden | None = None
user_project: _UserProjects | None = None
personas: _Personas | None = None
class _VespaPutRequest(BaseModel):
model_config = {"frozen": True}
@@ -227,6 +232,11 @@ def _update_single_chunk(
if update_request.project_ids is not None
else None
)
personas_update: _Personas | None = (
_Personas(assign=list(update_request.persona_ids))
if update_request.persona_ids is not None
else None
)
vespa_put_fields = _VespaPutFields(
boost=boost_update,
@@ -234,6 +244,7 @@ def _update_single_chunk(
access_control_list=access_update,
hidden=hidden_update,
user_project=user_projects_update,
personas=personas_update,
)
vespa_put_request = _VespaPutRequest(

View File

@@ -58,6 +58,7 @@ DOCUMENT_SETS = "document_sets"
USER_FILE = "user_file"
USER_FOLDER = "user_folder"
USER_PROJECT = "user_project"
PERSONAS = "personas"
LARGE_CHUNK_REFERENCE_IDS = "large_chunk_reference_ids"
METADATA = "metadata"
METADATA_LIST = "metadata_list"

View File

@@ -146,6 +146,7 @@ class DocumentIndexingBatchAdapter:
doc_id_to_document_set.get(chunk.source_document.id, [])
),
user_project=[],
personas=[],
boost=(
context.id_to_boost_map[chunk.source_document.id]
if chunk.source_document.id in context.id_to_boost_map

View File

@@ -20,6 +20,7 @@ from onyx.db.models import Persona
from onyx.db.models import UserFile
from onyx.db.notification import create_notification
from onyx.db.user_file import fetch_chunk_counts_for_user_files
from onyx.db.user_file import fetch_persona_ids_for_user_files
from onyx.db.user_file import fetch_user_project_ids_for_user_files
from onyx.file_store.utils import store_user_file_plaintext
from onyx.indexing.indexing_pipeline import DocumentBatchPrepareContext
@@ -119,6 +120,10 @@ class UserFileIndexingAdapter:
user_file_ids=updatable_ids,
db_session=self.db_session,
)
user_file_id_to_persona_ids = fetch_persona_ids_for_user_files(
user_file_ids=updatable_ids,
db_session=self.db_session,
)
user_file_id_to_access: dict[str, DocumentAccess] = get_access_for_user_files(
user_file_ids=updatable_ids,
db_session=self.db_session,
@@ -182,7 +187,7 @@ class UserFileIndexingAdapter:
user_project=user_file_id_to_project_ids.get(
chunk.source_document.id, []
),
# we are going to index userfiles only once, so we just set the boost to the default
personas=user_file_id_to_persona_ids.get(chunk.source_document.id, []),
boost=DEFAULT_BOOST,
tenant_id=tenant_id,
aggregated_chunk_boost_factor=chunk_content_scores[chunk_num],

View File

@@ -112,6 +112,7 @@ class DocMetadataAwareIndexChunk(IndexChunk):
access: "DocumentAccess"
document_sets: set[str]
user_project: list[int]
personas: list[int]
boost: int
aggregated_chunk_boost_factor: float
# Full ancestor path from root hierarchy node to document's parent.
@@ -126,6 +127,7 @@ class DocMetadataAwareIndexChunk(IndexChunk):
access: "DocumentAccess",
document_sets: set[str],
user_project: list[int],
personas: list[int],
boost: int,
aggregated_chunk_boost_factor: float,
tenant_id: str,
@@ -137,6 +139,7 @@ class DocMetadataAwareIndexChunk(IndexChunk):
access=access,
document_sets=document_sets,
user_project=user_project,
personas=personas,
boost=boost,
aggregated_chunk_boost_factor=aggregated_chunk_boost_factor,
tenant_id=tenant_id,

View File

@@ -592,11 +592,8 @@ def build_slack_response_blocks(
)
citations_blocks = []
document_blocks = []
if answer.citation_info:
citations_blocks = _build_citations_blocks(answer)
else:
document_blocks = _priority_ordered_documents_blocks(answer)
citations_divider = [DividerBlock()] if citations_blocks else []
buttons_divider = [DividerBlock()] if web_follow_up_block or follow_up_block else []
@@ -608,7 +605,6 @@ def build_slack_response_blocks(
+ ai_feedback_block
+ citations_divider
+ citations_blocks
+ document_blocks
+ buttons_divider
+ web_follow_up_block
+ follow_up_block

View File

@@ -1,20 +1,149 @@
import re
from collections.abc import Callable
from typing import Any
from mistune import create_markdown
from mistune import HTMLRenderer
# Tags that should be replaced with a newline (line-break and block-level elements)
_HTML_NEWLINE_TAG_PATTERN = re.compile(
r"<br\s*/?>|</(?:p|div|li|h[1-6]|tr|blockquote|section|article)>",
re.IGNORECASE,
)
# Strips HTML tags but excludes autolinks like <https://...> and <mailto:...>
_HTML_TAG_PATTERN = re.compile(
r"<(?!https?://|mailto:)/?[a-zA-Z][^>]*>",
)
# Matches fenced code blocks (``` ... ```) so we can skip sanitization inside them
_FENCED_CODE_BLOCK_PATTERN = re.compile(r"```[\s\S]*?```")
# Matches the start of any markdown link: [text]( or [[n]](
# The inner group handles nested brackets for citation links like [[1]](.
_MARKDOWN_LINK_PATTERN = re.compile(r"\[(?:[^\[\]]|\[[^\]]*\])*\]\(")
# Matches Slack-style links <url|text> that LLMs sometimes output directly.
# Mistune doesn't recognise this syntax, so text() would escape the angle
# brackets and Slack would render them as literal text instead of links.
_SLACK_LINK_PATTERN = re.compile(r"<(https?://[^|>]+)\|([^>]+)>")
def _sanitize_html(text: str) -> str:
"""Strip HTML tags from a text fragment.
Block-level closing tags and <br> are converted to newlines.
All other HTML tags are removed. Autolinks (<https://...>) are preserved.
"""
text = _HTML_NEWLINE_TAG_PATTERN.sub("\n", text)
text = _HTML_TAG_PATTERN.sub("", text)
return text
def _transform_outside_code_blocks(
message: str, transform: Callable[[str], str]
) -> str:
"""Apply *transform* only to text outside fenced code blocks."""
parts = _FENCED_CODE_BLOCK_PATTERN.split(message)
code_blocks = _FENCED_CODE_BLOCK_PATTERN.findall(message)
result: list[str] = []
for i, part in enumerate(parts):
result.append(transform(part))
if i < len(code_blocks):
result.append(code_blocks[i])
return "".join(result)
def _extract_link_destination(message: str, start_idx: int) -> tuple[str, int | None]:
"""Extract markdown link destination, allowing nested parentheses in the URL."""
depth = 0
i = start_idx
while i < len(message):
curr = message[i]
if curr == "\\":
i += 2
continue
if curr == "(":
depth += 1
elif curr == ")":
if depth == 0:
return message[start_idx:i], i
depth -= 1
i += 1
return message[start_idx:], None
def _normalize_link_destinations(message: str) -> str:
"""Wrap markdown link URLs in angle brackets so the parser handles special chars safely.
Markdown link syntax [text](url) breaks when the URL contains unescaped
parentheses, spaces, or other special characters. Wrapping the URL in angle
brackets — [text](<url>) — tells the parser to treat everything inside as
a literal URL. This applies to all links, not just citations.
"""
if "](" not in message:
return message
normalized_parts: list[str] = []
cursor = 0
while match := _MARKDOWN_LINK_PATTERN.search(message, cursor):
normalized_parts.append(message[cursor : match.end()])
destination_start = match.end()
destination, end_idx = _extract_link_destination(message, destination_start)
if end_idx is None:
normalized_parts.append(message[destination_start:])
return "".join(normalized_parts)
already_wrapped = destination.startswith("<") and destination.endswith(">")
if destination and not already_wrapped:
destination = f"<{destination}>"
normalized_parts.append(destination)
normalized_parts.append(")")
cursor = end_idx + 1
normalized_parts.append(message[cursor:])
return "".join(normalized_parts)
def _convert_slack_links_to_markdown(message: str) -> str:
"""Convert Slack-style <url|text> links to standard markdown [text](url).
LLMs sometimes emit Slack mrkdwn link syntax directly. Mistune doesn't
recognise it, so the angle brackets would be escaped by text() and Slack
would render the link as literal text instead of a clickable link.
"""
return _transform_outside_code_blocks(
message, lambda text: _SLACK_LINK_PATTERN.sub(r"[\2](\1)", text)
)
def format_slack_message(message: str | None) -> str:
if message is None:
return ""
message = _transform_outside_code_blocks(message, _sanitize_html)
message = _convert_slack_links_to_markdown(message)
normalized_message = _normalize_link_destinations(message)
md = create_markdown(renderer=SlackRenderer(), plugins=["strikethrough"])
result = md(message)
result = md(normalized_message)
# With HTMLRenderer, result is always str (not AST list)
assert isinstance(result, str)
return result
return result.rstrip("\n")
class SlackRenderer(HTMLRenderer):
"""Renders markdown as Slack mrkdwn format instead of HTML.
Overrides all HTMLRenderer methods that produce HTML tags to ensure
no raw HTML ever appears in Slack messages.
"""
SPECIALS: dict[str, str] = {"&": "&amp;", "<": "&lt;", ">": "&gt;"}
def escape_special(self, text: str) -> str:
@@ -23,7 +152,7 @@ class SlackRenderer(HTMLRenderer):
return text
def heading(self, text: str, level: int, **attrs: Any) -> str: # noqa: ARG002
return f"*{text}*\n"
return f"*{text}*\n\n"
def emphasis(self, text: str) -> str:
return f"_{text}_"
@@ -42,7 +171,7 @@ class SlackRenderer(HTMLRenderer):
count += 1
prefix = f"{count}. " if ordered else ""
lines[i] = f"{prefix}{line[4:]}"
return "\n".join(lines)
return "\n".join(lines) + "\n"
def list_item(self, text: str) -> str:
return f"li: {text}\n"
@@ -64,7 +193,30 @@ class SlackRenderer(HTMLRenderer):
return f"`{text}`"
def block_code(self, code: str, info: str | None = None) -> str: # noqa: ARG002
return f"```\n{code}\n```\n"
return f"```\n{code.rstrip(chr(10))}\n```\n\n"
def linebreak(self) -> str:
return "\n"
def thematic_break(self) -> str:
return "---\n\n"
def block_quote(self, text: str) -> str:
lines = text.strip().split("\n")
quoted = "\n".join(f">{line}" for line in lines)
return quoted + "\n\n"
def block_html(self, html: str) -> str:
return _sanitize_html(html) + "\n\n"
def block_error(self, text: str) -> str:
return f"```\n{text}\n```\n\n"
def text(self, text: str) -> str:
# Only escape the three entities Slack recognizes: & < >
# HTMLRenderer.text() also escapes " to &quot; which Slack renders
# as literal &quot; text since Slack doesn't recognize that entity.
return self.escape_special(text)
def paragraph(self, text: str) -> str:
return f"{text}\n"
return f"{text}\n\n"

View File

@@ -1,15 +1,19 @@
#!/usr/bin/env python3
"""Generate AGENTS.md by scanning the files directory and populating the template.
This script runs at container startup, AFTER the init container has synced files
from S3. It scans the /workspace/files directory to discover what knowledge sources
are available and generates appropriate documentation.
This script runs during session setup, AFTER files have been synced from S3
and the files symlink has been created. It reads an existing AGENTS.md (which
contains the {{KNOWLEDGE_SOURCES_SECTION}} placeholder), replaces the
placeholder by scanning the knowledge source directory, and writes it back.
Environment variables:
- AGENT_INSTRUCTIONS: The template content with placeholders to replace
Usage:
python3 generate_agents_md.py <agents_md_path> <files_path>
Arguments:
agents_md_path: Path to the AGENTS.md file to update in place
files_path: Path to the files directory to scan for knowledge sources
"""
import os
import sys
from pathlib import Path
@@ -189,49 +193,39 @@ def build_knowledge_sources_section(files_path: Path) -> str:
def main() -> None:
"""Main entry point for container startup script.
Is called by the container startup script to scan /workspace/files and populate
the knowledge sources section.
Reads an existing AGENTS.md, replaces the {{KNOWLEDGE_SOURCES_SECTION}}
placeholder by scanning the files directory, and writes it back.
Usage:
python3 generate_agents_md.py <agents_md_path> <files_path>
"""
# Read template from environment variable
template = os.environ.get("AGENT_INSTRUCTIONS", "")
if not template:
print("Warning: No AGENT_INSTRUCTIONS template provided", file=sys.stderr)
template = "# Agent Instructions\n\nNo instructions provided."
if len(sys.argv) != 3:
print(
f"Usage: {sys.argv[0]} <agents_md_path> <files_path>",
file=sys.stderr,
)
sys.exit(1)
# Scan files directory - check /workspace/files first, then /workspace/demo_data
files_path = Path("/workspace/files")
demo_data_path = Path("/workspace/demo_data")
agents_md_path = Path(sys.argv[1])
files_path = Path(sys.argv[2])
# Use demo_data if files doesn't exist or is empty
if not files_path.exists() or not any(files_path.iterdir()):
if demo_data_path.exists():
files_path = demo_data_path
if not agents_md_path.exists():
print(f"Error: {agents_md_path} not found", file=sys.stderr)
sys.exit(1)
knowledge_sources_section = build_knowledge_sources_section(files_path)
template = agents_md_path.read_text()
# Replace placeholders
content = template
content = content.replace(
# Resolve symlinks (handles both direct symlinks and dirs containing symlinks)
resolved_files_path = files_path.resolve()
knowledge_sources_section = build_knowledge_sources_section(resolved_files_path)
# Replace placeholder and write back
content = template.replace(
"{{KNOWLEDGE_SOURCES_SECTION}}", knowledge_sources_section
)
# Write AGENTS.md
output_path = Path("/workspace/AGENTS.md")
output_path.write_text(content)
# Log result
source_count = 0
if files_path.exists():
source_count = len(
[
d
for d in files_path.iterdir()
if d.is_dir() and not d.name.startswith(".")
]
)
print(
f"Generated AGENTS.md with {source_count} knowledge sources from {files_path}"
)
agents_md_path.write_text(content)
print(f"Populated knowledge sources in {agents_md_path}")
if __name__ == "__main__":

View File

@@ -1352,6 +1352,9 @@ fi
echo "Writing AGENTS.md"
printf '%s' '{agent_instructions_escaped}' > {session_path}/AGENTS.md
# Populate knowledge sources by scanning the files directory
python3 /usr/local/bin/generate_agents_md.py {session_path}/AGENTS.md {session_path}/files || true
# Write opencode config
echo "Writing opencode.json"
printf '%s' '{opencode_json_escaped}' > {session_path}/opencode.json
@@ -1780,6 +1783,9 @@ ln -sf {symlink_target} {session_path}/files
echo "Writing AGENTS.md"
printf '%s' '{agent_instructions_escaped}' > {session_path}/AGENTS.md
# Populate knowledge sources by scanning the files directory
python3 /usr/local/bin/generate_agents_md.py {session_path}/AGENTS.md {session_path}/files || true
# Write opencode config
echo "Writing opencode.json"
printf '%s' '{opencode_json_escaped}' > {session_path}/opencode.json

View File

@@ -405,6 +405,7 @@ class PersonaShareRequest(BaseModel):
user_ids: list[UUID] | None = None
group_ids: list[int] | None = None
is_public: bool | None = None
label_ids: list[int] | None = None
# We notify each user when a user is shared with them
@@ -415,14 +416,22 @@ def share_persona(
user: User = Depends(current_user),
db_session: Session = Depends(get_session),
) -> None:
update_persona_shared(
persona_id=persona_id,
user=user,
db_session=db_session,
user_ids=persona_share_request.user_ids,
group_ids=persona_share_request.group_ids,
is_public=persona_share_request.is_public,
)
try:
update_persona_shared(
persona_id=persona_id,
user=user,
db_session=db_session,
user_ids=persona_share_request.user_ids,
group_ids=persona_share_request.group_ids,
is_public=persona_share_request.is_public,
label_ids=persona_share_request.label_ids,
)
except PermissionError as e:
logger.exception("Failed to share persona")
raise HTTPException(status_code=403, detail=str(e))
except ValueError as e:
logger.exception("Failed to share persona")
raise HTTPException(status_code=400, detail=str(e))
@basic_router.delete("/{persona_id}", tags=PUBLIC_API_TAGS)

View File

@@ -3,11 +3,12 @@ from fastapi import Depends
from sqlalchemy.orm import Session
from onyx.auth.users import current_admin_user
from onyx.db.code_interpreter import fetch_code_interpreter_server
from onyx.db.code_interpreter import update_code_interpreter_server_enabled
from onyx.db.engine.sql_engine import get_session
from onyx.db.models import User
from onyx.server.manage.code_interpreter.models import CodeInterpreterServer
from onyx.server.manage.code_interpreter.models import CodeInterpreterServerHealth
from onyx.server.manage.code_interpreter.models import CodeInterpreterServerUpdate
from onyx.tools.tool_implementations.python.code_interpreter_client import (
CodeInterpreterClient,
)
@@ -26,9 +27,17 @@ def get_code_interpreter_health(
return CodeInterpreterServerHealth(healthy=False)
@admin_router.get("")
def get_code_interpreter(
_: User = Depends(current_admin_user), db_session: Session = Depends(get_session)
) -> CodeInterpreterServer:
ci_server = fetch_code_interpreter_server(db_session)
return CodeInterpreterServer(enabled=ci_server.server_enabled)
@admin_router.put("")
def update_code_interpreter(
update: CodeInterpreterServerUpdate,
update: CodeInterpreterServer,
_: User = Depends(current_admin_user),
db_session: Session = Depends(get_session),
) -> None:

View File

@@ -1,7 +1,7 @@
from pydantic import BaseModel
class CodeInterpreterServerUpdate(BaseModel):
class CodeInterpreterServer(BaseModel):
enabled: bool

View File

@@ -105,7 +105,9 @@ class LLMProviderDescriptor(BaseModel):
is_default_provider = bool(default_model_name)
is_default_vision_provider = default_vision_model is not None
default_model_name = default_model_name or llm_provider_model.default_model_name
default_model_name = (
default_model_name or llm_provider_model.default_model_name or ""
)
return cls(
name=llm_provider_model.name,
@@ -184,7 +186,9 @@ class LLMProviderView(LLMProvider):
is_default_provider = bool(default_model_name)
is_default_vision_provider = default_vision_model is not None
default_model_name = default_model_name or llm_provider_model.default_model_name
default_model_name = (
default_model_name or llm_provider_model.default_model_name or ""
)
return cls(
id=llm_provider_model.id,

View File

@@ -35,6 +35,18 @@ if TYPE_CHECKING:
pass
class EmailInviteStatus(str, Enum):
SENT = "SENT"
NOT_CONFIGURED = "NOT_CONFIGURED"
SEND_FAILED = "SEND_FAILED"
DISABLED = "DISABLED"
class BulkInviteResponse(BaseModel):
invited_count: int
email_invite_status: EmailInviteStatus
class VersionResponse(BaseModel):
backend_version: str

View File

@@ -36,6 +36,7 @@ from onyx.configs.app_configs import AUTH_BACKEND
from onyx.configs.app_configs import AUTH_TYPE
from onyx.configs.app_configs import AuthBackend
from onyx.configs.app_configs import DEV_MODE
from onyx.configs.app_configs import EMAIL_CONFIGURED
from onyx.configs.app_configs import ENABLE_EMAIL_INVITES
from onyx.configs.app_configs import NUM_FREE_TRIAL_USER_INVITES
from onyx.configs.app_configs import REDIS_AUTH_KEY_PREFIX
@@ -78,8 +79,10 @@ from onyx.server.documents.models import PaginatedReturn
from onyx.server.features.projects.models import UserFileSnapshot
from onyx.server.manage.models import AllUsersResponse
from onyx.server.manage.models import AutoScrollRequest
from onyx.server.manage.models import BulkInviteResponse
from onyx.server.manage.models import ChatBackgroundRequest
from onyx.server.manage.models import DefaultAppModeRequest
from onyx.server.manage.models import EmailInviteStatus
from onyx.server.manage.models import MemoryItem
from onyx.server.manage.models import PersonalizationUpdateRequest
from onyx.server.manage.models import TenantInfo
@@ -368,7 +371,7 @@ def bulk_invite_users(
emails: list[str] = Body(..., embed=True),
current_user: User = Depends(current_admin_user),
db_session: Session = Depends(get_session),
) -> int:
) -> BulkInviteResponse:
"""emails are string validated. If any email fails validation, no emails are
invited and an exception is raised."""
tenant_id = get_current_tenant_id()
@@ -427,34 +430,41 @@ def bulk_invite_users(
number_of_invited_users = write_invited_users(all_emails)
# send out email invitations only to new users (not already invited or existing)
if ENABLE_EMAIL_INVITES:
if not ENABLE_EMAIL_INVITES:
email_invite_status = EmailInviteStatus.DISABLED
elif not EMAIL_CONFIGURED:
email_invite_status = EmailInviteStatus.NOT_CONFIGURED
else:
try:
for email in emails_needing_seats:
send_user_email_invite(email, current_user, AUTH_TYPE)
email_invite_status = EmailInviteStatus.SENT
except Exception as e:
logger.error(f"Error sending email invite to invited users: {e}")
email_invite_status = EmailInviteStatus.SEND_FAILED
if not MULTI_TENANT or DEV_MODE:
return number_of_invited_users
if MULTI_TENANT and not DEV_MODE:
# for billing purposes, write to the control plane about the number of new users
try:
logger.info("Registering tenant users")
fetch_ee_implementation_or_noop(
"onyx.server.tenants.billing", "register_tenant_users", None
)(tenant_id, get_live_users_count(db_session))
except Exception as e:
logger.error(f"Failed to register tenant users: {str(e)}")
logger.info(
"Reverting changes: removing users from tenant and resetting invited users"
)
write_invited_users(initial_invited_users) # Reset to original state
fetch_ee_implementation_or_noop(
"onyx.server.tenants.user_mapping", "remove_users_from_tenant", None
)(new_invited_emails, tenant_id)
raise e
# for billing purposes, write to the control plane about the number of new users
try:
logger.info("Registering tenant users")
fetch_ee_implementation_or_noop(
"onyx.server.tenants.billing", "register_tenant_users", None
)(tenant_id, get_live_users_count(db_session))
return number_of_invited_users
except Exception as e:
logger.error(f"Failed to register tenant users: {str(e)}")
logger.info(
"Reverting changes: removing users from tenant and resetting invited users"
)
write_invited_users(initial_invited_users) # Reset to original state
fetch_ee_implementation_or_noop(
"onyx.server.tenants.user_mapping", "remove_users_from_tenant", None
)(new_invited_emails, tenant_id)
raise e
return BulkInviteResponse(
invited_count=number_of_invited_users,
email_invite_status=email_invite_status,
)
@router.patch("/manage/admin/remove-invited-user", tags=PUBLIC_API_TAGS)

View File

@@ -0,0 +1,27 @@
"""Per-tenant request counter metric.
Increments a counter on every request, labelled by tenant, so Grafana can
answer "which tenant is generating the most traffic?"
"""
from prometheus_client import Counter
from prometheus_fastapi_instrumentator.metrics import Info
from shared_configs.contextvars import CURRENT_TENANT_ID_CONTEXTVAR
_requests_by_tenant = Counter(
"onyx_api_requests_by_tenant_total",
"Total API requests by tenant",
["tenant_id", "method", "handler", "status"],
)
def per_tenant_request_callback(info: Info) -> None:
"""Increment per-tenant request counter for every request."""
tenant_id = CURRENT_TENANT_ID_CONTEXTVAR.get() or "unknown"
_requests_by_tenant.labels(
tenant_id=tenant_id,
method=info.method,
handler=info.modified_handler,
status=info.modified_status,
).inc()

View File

@@ -32,6 +32,7 @@ from sqlalchemy.pool import QueuePool
from onyx.utils.logger import setup_logger
from shared_configs.contextvars import CURRENT_ENDPOINT_CONTEXTVAR
from shared_configs.contextvars import CURRENT_TENANT_ID_CONTEXTVAR
logger = setup_logger()
@@ -72,7 +73,7 @@ _checkout_timeout_total = Counter(
_connections_held = Gauge(
"onyx_db_connections_held_by_endpoint",
"Number of DB connections currently held, by endpoint and engine",
["handler", "engine"],
["handler", "engine", "tenant_id"],
)
_hold_seconds = Histogram(
@@ -163,10 +164,14 @@ def _register_pool_events(engine: Engine, label: str) -> None:
conn_proxy: PoolProxiedConnection, # noqa: ARG001
) -> None:
handler = CURRENT_ENDPOINT_CONTEXTVAR.get() or "unknown"
tenant_id = CURRENT_TENANT_ID_CONTEXTVAR.get() or "unknown"
conn_record.info["_metrics_endpoint"] = handler
conn_record.info["_metrics_tenant_id"] = tenant_id
conn_record.info["_metrics_checkout_time"] = time.monotonic()
_checkout_total.labels(engine=label).inc()
_connections_held.labels(handler=handler, engine=label).inc()
_connections_held.labels(
handler=handler, engine=label, tenant_id=tenant_id
).inc()
@event.listens_for(engine, "checkin")
def on_checkin(
@@ -174,9 +179,12 @@ def _register_pool_events(engine: Engine, label: str) -> None:
conn_record: ConnectionPoolEntry,
) -> None:
handler = conn_record.info.pop("_metrics_endpoint", "unknown")
tenant_id = conn_record.info.pop("_metrics_tenant_id", "unknown")
start = conn_record.info.pop("_metrics_checkout_time", None)
_checkin_total.labels(engine=label).inc()
_connections_held.labels(handler=handler, engine=label).dec()
_connections_held.labels(
handler=handler, engine=label, tenant_id=tenant_id
).dec()
if start is not None:
_hold_seconds.labels(handler=handler, engine=label).observe(
time.monotonic() - start
@@ -199,9 +207,12 @@ def _register_pool_events(engine: Engine, label: str) -> None:
# Defensively clean up the held-connections gauge in case checkin
# doesn't fire after invalidation (e.g. hard pool shutdown).
handler = conn_record.info.pop("_metrics_endpoint", None)
tenant_id = conn_record.info.pop("_metrics_tenant_id", "unknown")
start = conn_record.info.pop("_metrics_checkout_time", None)
if handler:
_connections_held.labels(handler=handler, engine=label).dec()
_connections_held.labels(
handler=handler, engine=label, tenant_id=tenant_id
).dec()
if start is not None:
_hold_seconds.labels(handler=handler or "unknown", engine=label).observe(
time.monotonic() - start

View File

@@ -11,9 +11,11 @@ SQLAlchemy connection pool metrics are registered separately via
"""
from prometheus_fastapi_instrumentator import Instrumentator
from prometheus_fastapi_instrumentator.metrics import default as default_metrics
from sqlalchemy.exc import TimeoutError as SATimeoutError
from starlette.applications import Starlette
from onyx.server.metrics.per_tenant import per_tenant_request_callback
from onyx.server.metrics.postgres_connection_pool import pool_timeout_handler
from onyx.server.metrics.slow_requests import slow_request_callback
@@ -59,6 +61,15 @@ def setup_prometheus_metrics(app: Starlette) -> None:
excluded_handlers=_EXCLUDED_HANDLERS,
)
# Explicitly create the default metrics (http_requests_total,
# http_request_duration_seconds, etc.) and add them first. The library
# skips creating defaults when ANY custom instrumentations are registered
# via .add(), so we must include them ourselves.
default_callback = default_metrics(latency_lowr_buckets=_LATENCY_BUCKETS)
if default_callback:
instrumentator.add(default_callback)
instrumentator.add(slow_request_callback)
instrumentator.add(per_tenant_request_callback)
instrumentator.instrument(app, latency_lowr_buckets=_LATENCY_BUCKETS).expose(app)

View File

@@ -4,6 +4,7 @@ from sqlalchemy.orm import Session
from onyx.configs.app_configs import DISABLE_INDEX_UPDATE_ON_SWAP
from onyx.configs.app_configs import DISABLE_VECTOR_DB
from onyx.configs.app_configs import ENABLE_OPENSEARCH_INDEXING_FOR_ONYX
from onyx.configs.app_configs import INTEGRATION_TESTS_MODE
from onyx.configs.app_configs import MANAGED_VESPA
from onyx.configs.app_configs import VESPA_NUM_ATTEMPTS_ON_STARTUP
@@ -32,6 +33,9 @@ from onyx.db.search_settings import update_current_search_settings
from onyx.db.swap_index import check_and_perform_index_swap
from onyx.document_index.factory import get_all_document_indices
from onyx.document_index.interfaces import DocumentIndex
from onyx.document_index.opensearch.client import OpenSearchClient
from onyx.document_index.opensearch.client import wait_for_opensearch_with_timeout
from onyx.document_index.opensearch.opensearch_document_index import set_cluster_state
from onyx.document_index.vespa.index import VespaIndex
from onyx.indexing.models import IndexingSetting
from onyx.key_value_store.factory import get_kv_store
@@ -311,7 +315,14 @@ def setup_multitenant_onyx() -> None:
logger.notice("DISABLE_VECTOR_DB is set — skipping multitenant Vespa setup.")
return
if ENABLE_OPENSEARCH_INDEXING_FOR_ONYX:
opensearch_client = OpenSearchClient()
if not wait_for_opensearch_with_timeout(client=opensearch_client):
raise RuntimeError("Failed to connect to OpenSearch.")
set_cluster_state(opensearch_client)
# For Managed Vespa, the schema is sent over via the Vespa Console manually.
# NOTE: Pretty sure this code is never hit in any production environment.
if not MANAGED_VESPA:
setup_vespa_multitenant(SUPPORTED_EMBEDDING_MODELS)

View File

@@ -120,7 +120,7 @@ def generate_intermediate_report(
custom_agent_prompt=None,
simple_chat_history=history,
reminder_message=reminder_message,
project_files=None,
context_files=None,
available_tokens=llm.config.max_input_tokens,
)
@@ -325,7 +325,7 @@ def run_research_agent_call(
custom_agent_prompt=None,
simple_chat_history=msg_history,
reminder_message=reminder_message,
project_files=None,
context_files=None,
available_tokens=llm.config.max_input_tokens,
)

View File

@@ -54,6 +54,7 @@ logger = setup_logger()
class SearchToolConfig(BaseModel):
user_selected_filters: BaseFilters | None = None
project_id: int | None = None
persona_id: int | None = None
bypass_acl: bool = False
additional_context: str | None = None
slack_context: SlackContext | None = None
@@ -180,6 +181,7 @@ def construct_tools(
document_index=document_index,
user_selected_filters=search_tool_config.user_selected_filters,
project_id=search_tool_config.project_id,
persona_id=search_tool_config.persona_id,
bypass_acl=search_tool_config.bypass_acl,
slack_context=search_tool_config.slack_context,
enable_slack_search=search_tool_config.enable_slack_search,
@@ -427,6 +429,7 @@ def construct_tools(
document_index=document_index,
user_selected_filters=search_tool_config.user_selected_filters,
project_id=search_tool_config.project_id,
persona_id=search_tool_config.persona_id,
bypass_acl=search_tool_config.bypass_acl,
slack_context=search_tool_config.slack_context,
enable_slack_search=search_tool_config.enable_slack_search,

View File

@@ -12,6 +12,7 @@ from onyx.configs.app_configs import CODE_INTERPRETER_BASE_URL
from onyx.configs.app_configs import CODE_INTERPRETER_DEFAULT_TIMEOUT_MS
from onyx.configs.app_configs import CODE_INTERPRETER_MAX_OUTPUT_LENGTH
from onyx.configs.constants import FileOrigin
from onyx.db.code_interpreter import fetch_code_interpreter_server
from onyx.file_store.utils import build_full_frontend_file_url
from onyx.file_store.utils import get_default_file_store
from onyx.server.query_and_chat.placement import Placement
@@ -103,8 +104,10 @@ class PythonTool(Tool[PythonToolOverrideKwargs]):
@override
@classmethod
def is_available(cls, db_session: Session) -> bool:
is_available = bool(CODE_INTERPRETER_BASE_URL)
return is_available
if not CODE_INTERPRETER_BASE_URL:
return False
server = fetch_code_interpreter_server(db_session)
return server.server_enabled
def tool_definition(self) -> dict:
return {

View File

@@ -247,6 +247,8 @@ class SearchTool(Tool[SearchToolOverrideKwargs]):
user_selected_filters: BaseFilters | None,
# If the chat is part of a project
project_id: int | None,
# If set, search scopes to files attached to this persona
persona_id: int | None = None,
bypass_acl: bool = False,
# Slack context for federated Slack search (tokens fetched internally)
slack_context: SlackContext | None = None,
@@ -261,6 +263,7 @@ class SearchTool(Tool[SearchToolOverrideKwargs]):
self.document_index = document_index
self.user_selected_filters = user_selected_filters
self.project_id = project_id
self.persona_id = persona_id
self.bypass_acl = bypass_acl
self.slack_context = slack_context
self.enable_slack_search = enable_slack_search
@@ -456,6 +459,7 @@ class SearchTool(Tool[SearchToolOverrideKwargs]):
limit=num_hits,
),
project_id=self.project_id,
persona_id=self.persona_id,
document_index=self.document_index,
user=self.user,
persona=self.persona,

View File

@@ -809,7 +809,7 @@ pypandoc-binary==1.16.2
# via onyx
pyparsing==3.2.5
# via httplib2
pypdf==6.6.2
pypdf==6.7.3
# via
# onyx
# unstructured-client

View File

@@ -317,7 +317,7 @@ oauthlib==3.2.2
# via
# kubernetes
# requests-oauthlib
onyx-devtools==0.6.0
onyx-devtools==0.6.2
# via onyx
openai==2.14.0
# via

View File

@@ -95,6 +95,7 @@ def generate_dummy_chunk(
return DocMetadataAwareIndexChunk.from_index_chunk(
index_chunk=chunk,
user_project=[],
personas=[],
access=DocumentAccess.build(
user_emails=user_emails,
user_groups=user_groups,

View File

@@ -12,6 +12,7 @@ from onyx.configs.constants import DocumentSource
from onyx.connectors.models import Document
from onyx.connectors.models import HierarchyNode
from onyx.connectors.models import ImageSection
from onyx.connectors.sharepoint.connector import SharepointAuthMethod
from onyx.connectors.sharepoint.connector import SharepointConnector
from onyx.db.enums import HierarchyNodeType
from tests.daily.connectors.utils import load_all_from_connector
@@ -521,3 +522,46 @@ def test_sharepoint_connector_hierarchy_nodes(
f"Document {doc.semantic_identifier} should have "
"parent_hierarchy_raw_node_id set"
)
@pytest.fixture
def sharepoint_cert_credentials() -> dict[str, str]:
return {
"authentication_method": SharepointAuthMethod.CERTIFICATE.value,
"sp_client_id": os.environ["PERM_SYNC_SHAREPOINT_CLIENT_ID"],
"sp_private_key": os.environ["PERM_SYNC_SHAREPOINT_PRIVATE_KEY"],
"sp_certificate_password": os.environ[
"PERM_SYNC_SHAREPOINT_CERTIFICATE_PASSWORD"
],
"sp_directory_id": os.environ["PERM_SYNC_SHAREPOINT_DIRECTORY_ID"],
}
def test_resolve_tenant_domain_from_site_urls(
sharepoint_cert_credentials: dict[str, str],
) -> None:
"""Verify that certificate auth resolves the tenant domain from site URLs
without calling the /organization endpoint."""
site_url = os.environ["SHAREPOINT_SITE"]
connector = SharepointConnector(sites=[site_url])
connector.load_credentials(sharepoint_cert_credentials)
assert connector.sp_tenant_domain is not None
assert len(connector.sp_tenant_domain) > 0
# The tenant domain should match the first label of the site URL hostname
from urllib.parse import urlsplit
expected = urlsplit(site_url).hostname.split(".")[0] # type: ignore
assert connector.sp_tenant_domain == expected
def test_resolve_tenant_domain_from_root_site(
sharepoint_cert_credentials: dict[str, str],
) -> None:
"""Verify that certificate auth resolves the tenant domain via the root
site endpoint when no site URLs are configured."""
connector = SharepointConnector(sites=[])
connector.load_credentials(sharepoint_cert_credentials)
assert connector.sp_tenant_domain is not None
assert len(connector.sp_tenant_domain) > 0

View File

@@ -0,0 +1,544 @@
"""
External dependency unit tests for persona file sync.
Validates that:
1. The check_for_user_file_project_sync beat task picks up UserFiles with
needs_persona_sync=True (not just needs_project_sync).
2. The process_single_user_file_project_sync worker task reads persona
associations from the DB, passes persona_ids to the document index via
VespaDocumentUserFields, and clears needs_persona_sync afterwards.
3. upsert_persona correctly marks affected UserFiles with
needs_persona_sync=True when file associations change.
Uses real Redis and PostgreSQL. Document index (Vespa) calls are mocked
since we only need to verify the arguments passed to update_single.
"""
from collections.abc import Generator
from contextlib import contextmanager
from typing import Any
from unittest.mock import MagicMock
from unittest.mock import patch
from unittest.mock import PropertyMock
from uuid import uuid4
from sqlalchemy.orm import Session
from onyx.background.celery.tasks.user_file_processing.tasks import (
check_for_user_file_project_sync,
)
from onyx.background.celery.tasks.user_file_processing.tasks import (
process_single_user_file_project_sync,
)
from onyx.background.celery.tasks.user_file_processing.tasks import (
user_file_project_sync_lock_key,
)
from onyx.context.search.enums import RecencyBiasSetting
from onyx.db.enums import UserFileStatus
from onyx.db.models import Persona
from onyx.db.models import Persona__UserFile
from onyx.db.models import User
from onyx.db.models import UserFile
from onyx.db.persona import upsert_persona
from onyx.document_index.interfaces import VespaDocumentUserFields
from onyx.redis.redis_pool import get_redis_client
from tests.external_dependency_unit.conftest import create_test_user
from tests.external_dependency_unit.constants import TEST_TENANT_ID
# ---------------------------------------------------------------------------
# Helpers
# ---------------------------------------------------------------------------
def _create_completed_user_file(
db_session: Session,
user: User,
needs_persona_sync: bool = False,
needs_project_sync: bool = False,
) -> UserFile:
"""Insert a UserFile in COMPLETED status."""
uf = UserFile(
id=uuid4(),
user_id=user.id,
file_id=f"test_file_{uuid4().hex[:8]}",
name=f"test_{uuid4().hex[:8]}.txt",
file_type="text/plain",
status=UserFileStatus.COMPLETED,
needs_persona_sync=needs_persona_sync,
needs_project_sync=needs_project_sync,
chunk_count=5,
)
db_session.add(uf)
db_session.commit()
db_session.refresh(uf)
return uf
def _create_test_persona(
db_session: Session,
user: User,
user_files: list[UserFile] | None = None,
) -> Persona:
"""Create a minimal Persona via direct model insert."""
persona = Persona(
name=f"Test Persona {uuid4().hex[:8]}",
description="Test persona",
num_chunks=10.0,
chunks_above=0,
chunks_below=0,
llm_relevance_filter=False,
llm_filter_extraction=False,
recency_bias=RecencyBiasSetting.NO_DECAY,
system_prompt="You are a test assistant",
task_prompt="Answer the question",
tools=[],
document_sets=[],
users=[user],
groups=[],
is_visible=True,
is_public=True,
display_priority=None,
starter_messages=None,
deleted=False,
user_files=user_files or [],
user_id=user.id,
)
db_session.add(persona)
db_session.commit()
db_session.refresh(persona)
return persona
def _link_file_to_persona(
db_session: Session, persona: Persona, user_file: UserFile
) -> None:
"""Create the join table row between a persona and a user file."""
link = Persona__UserFile(persona_id=persona.id, user_file_id=user_file.id)
db_session.add(link)
db_session.commit()
_PATCH_QUEUE_DEPTH = (
"onyx.background.celery.tasks.user_file_processing.tasks"
".get_user_file_project_sync_queue_depth"
)
@contextmanager
def _patch_task_app(task: Any, mock_app: MagicMock) -> Generator[None, None, None]:
"""Patch the ``app`` property on a bound Celery task."""
task_instance = task.run.__self__
with (
patch.object(
type(task_instance),
"app",
new_callable=PropertyMock,
return_value=mock_app,
),
patch(_PATCH_QUEUE_DEPTH, return_value=0),
):
yield
# ---------------------------------------------------------------------------
# Test: check_for_user_file_project_sync picks up persona sync
# ---------------------------------------------------------------------------
class TestCheckSweepIncludesPersonaSync:
"""The beat task must pick up files needing persona sync, not just project sync."""
def test_persona_sync_flag_enqueues_task(
self,
db_session: Session,
tenant_context: None, # noqa: ARG002
) -> None:
"""A file with needs_persona_sync=True (and COMPLETED) gets enqueued."""
user = create_test_user(db_session, "persona_sweep")
uf = _create_completed_user_file(db_session, user, needs_persona_sync=True)
mock_app = MagicMock()
with _patch_task_app(check_for_user_file_project_sync, mock_app):
check_for_user_file_project_sync.run(tenant_id=TEST_TENANT_ID)
enqueued_ids = {
call.kwargs["kwargs"]["user_file_id"]
for call in mock_app.send_task.call_args_list
}
assert str(uf.id) in enqueued_ids
def test_neither_flag_does_not_enqueue(
self,
db_session: Session,
tenant_context: None, # noqa: ARG002
) -> None:
"""A file with both flags False is not enqueued."""
user = create_test_user(db_session, "no_sync")
uf = _create_completed_user_file(db_session, user)
mock_app = MagicMock()
with _patch_task_app(check_for_user_file_project_sync, mock_app):
check_for_user_file_project_sync.run(tenant_id=TEST_TENANT_ID)
enqueued_ids = {
call.kwargs["kwargs"]["user_file_id"]
for call in mock_app.send_task.call_args_list
}
assert str(uf.id) not in enqueued_ids
def test_both_flags_enqueues_once(
self,
db_session: Session,
tenant_context: None, # noqa: ARG002
) -> None:
"""A file with BOTH flags True is enqueued exactly once."""
user = create_test_user(db_session, "both_flags")
uf = _create_completed_user_file(
db_session, user, needs_persona_sync=True, needs_project_sync=True
)
mock_app = MagicMock()
with _patch_task_app(check_for_user_file_project_sync, mock_app):
check_for_user_file_project_sync.run(tenant_id=TEST_TENANT_ID)
matching_calls = [
call
for call in mock_app.send_task.call_args_list
if call.kwargs["kwargs"]["user_file_id"] == str(uf.id)
]
assert len(matching_calls) == 1
# ---------------------------------------------------------------------------
# Test: process_single_user_file_project_sync passes persona_ids to index
# ---------------------------------------------------------------------------
_PATCH_GET_SETTINGS = (
"onyx.background.celery.tasks.user_file_processing.tasks.get_active_search_settings"
)
_PATCH_GET_INDICES = (
"onyx.background.celery.tasks.user_file_processing.tasks.get_all_document_indices"
)
_PATCH_HTTPX_INIT = (
"onyx.background.celery.tasks.user_file_processing.tasks.httpx_init_vespa_pool"
)
_PATCH_DISABLE_VDB = (
"onyx.background.celery.tasks.user_file_processing.tasks.DISABLE_VECTOR_DB"
)
class TestSyncTaskWritesPersonaIds:
"""The sync task reads persona associations and sends them to the index."""
def test_passes_persona_ids_to_update_single(
self,
db_session: Session,
tenant_context: None, # noqa: ARG002
) -> None:
"""After linking a file to a persona, sync sends the persona ID."""
user = create_test_user(db_session, "sync_persona")
uf = _create_completed_user_file(db_session, user, needs_persona_sync=True)
persona = _create_test_persona(db_session, user)
_link_file_to_persona(db_session, persona, uf)
mock_doc_index = MagicMock()
mock_search_settings = MagicMock()
mock_search_settings.primary = MagicMock()
mock_search_settings.secondary = None
redis_client = get_redis_client(tenant_id=TEST_TENANT_ID)
lock_key = user_file_project_sync_lock_key(str(uf.id))
redis_client.delete(lock_key)
with (
patch(_PATCH_DISABLE_VDB, False),
patch(_PATCH_HTTPX_INIT),
patch(_PATCH_GET_SETTINGS, return_value=mock_search_settings),
patch(_PATCH_GET_INDICES, return_value=[mock_doc_index]),
):
process_single_user_file_project_sync.run(
user_file_id=str(uf.id), tenant_id=TEST_TENANT_ID
)
mock_doc_index.update_single.assert_called_once()
call_args = mock_doc_index.update_single.call_args
user_fields: VespaDocumentUserFields = call_args.kwargs["user_fields"]
assert user_fields.personas is not None
assert persona.id in user_fields.personas
assert call_args.args[0] == str(uf.id)
def test_clears_persona_sync_flag(
self,
db_session: Session,
tenant_context: None, # noqa: ARG002
) -> None:
"""After a successful sync the needs_persona_sync flag is cleared."""
user = create_test_user(db_session, "sync_clear")
uf = _create_completed_user_file(db_session, user, needs_persona_sync=True)
redis_client = get_redis_client(tenant_id=TEST_TENANT_ID)
lock_key = user_file_project_sync_lock_key(str(uf.id))
redis_client.delete(lock_key)
with patch(_PATCH_DISABLE_VDB, True):
process_single_user_file_project_sync.run(
user_file_id=str(uf.id), tenant_id=TEST_TENANT_ID
)
db_session.refresh(uf)
assert uf.needs_persona_sync is False
def test_passes_both_project_and_persona_ids(
self,
db_session: Session,
tenant_context: None, # noqa: ARG002
) -> None:
"""A file linked to both a project and a persona gets both IDs."""
from onyx.db.models import Project__UserFile
from onyx.db.models import UserProject
user = create_test_user(db_session, "sync_both")
uf = _create_completed_user_file(
db_session, user, needs_persona_sync=True, needs_project_sync=True
)
persona = _create_test_persona(db_session, user)
_link_file_to_persona(db_session, persona, uf)
project = UserProject(user_id=user.id, name="test-project", instructions="")
db_session.add(project)
db_session.commit()
db_session.refresh(project)
link = Project__UserFile(project_id=project.id, user_file_id=uf.id)
db_session.add(link)
db_session.commit()
mock_doc_index = MagicMock()
mock_search_settings = MagicMock()
mock_search_settings.primary = MagicMock()
mock_search_settings.secondary = None
redis_client = get_redis_client(tenant_id=TEST_TENANT_ID)
lock_key = user_file_project_sync_lock_key(str(uf.id))
redis_client.delete(lock_key)
with (
patch(_PATCH_DISABLE_VDB, False),
patch(_PATCH_HTTPX_INIT),
patch(_PATCH_GET_SETTINGS, return_value=mock_search_settings),
patch(_PATCH_GET_INDICES, return_value=[mock_doc_index]),
):
process_single_user_file_project_sync.run(
user_file_id=str(uf.id), tenant_id=TEST_TENANT_ID
)
call_kwargs = mock_doc_index.update_single.call_args.kwargs
user_fields: VespaDocumentUserFields = call_kwargs["user_fields"]
assert user_fields.personas is not None
assert user_fields.user_projects is not None
assert persona.id in user_fields.personas
assert project.id in user_fields.user_projects
# Both flags should be cleared
db_session.refresh(uf)
assert uf.needs_persona_sync is False
assert uf.needs_project_sync is False
def test_deleted_persona_excluded_from_ids(
self,
db_session: Session,
tenant_context: None, # noqa: ARG002
) -> None:
"""A soft-deleted persona should NOT appear in the persona_ids sent to Vespa."""
user = create_test_user(db_session, "sync_deleted")
uf = _create_completed_user_file(db_session, user, needs_persona_sync=True)
persona = _create_test_persona(db_session, user)
_link_file_to_persona(db_session, persona, uf)
persona.deleted = True
db_session.commit()
mock_doc_index = MagicMock()
mock_search_settings = MagicMock()
mock_search_settings.primary = MagicMock()
mock_search_settings.secondary = None
redis_client = get_redis_client(tenant_id=TEST_TENANT_ID)
lock_key = user_file_project_sync_lock_key(str(uf.id))
redis_client.delete(lock_key)
with (
patch(_PATCH_DISABLE_VDB, False),
patch(_PATCH_HTTPX_INIT),
patch(_PATCH_GET_SETTINGS, return_value=mock_search_settings),
patch(_PATCH_GET_INDICES, return_value=[mock_doc_index]),
):
process_single_user_file_project_sync.run(
user_file_id=str(uf.id), tenant_id=TEST_TENANT_ID
)
call_kwargs = mock_doc_index.update_single.call_args.kwargs
user_fields: VespaDocumentUserFields = call_kwargs["user_fields"]
assert user_fields.personas is not None
assert persona.id not in user_fields.personas
# ---------------------------------------------------------------------------
# Test: upsert_persona marks files for persona sync
# ---------------------------------------------------------------------------
class TestUpsertPersonaMarksSyncFlag:
"""upsert_persona must set needs_persona_sync on affected UserFiles."""
def test_creating_persona_with_files_marks_sync(
self,
db_session: Session,
tenant_context: None, # noqa: ARG002
) -> None:
user = create_test_user(db_session, "upsert_create")
uf = _create_completed_user_file(db_session, user)
assert uf.needs_persona_sync is False
upsert_persona(
user=user,
name=f"persona-{uuid4().hex[:8]}",
description="test",
num_chunks=10.0,
llm_relevance_filter=False,
llm_filter_extraction=False,
recency_bias=RecencyBiasSetting.NO_DECAY,
llm_model_provider_override=None,
llm_model_version_override=None,
starter_messages=None,
system_prompt="test",
task_prompt="test",
datetime_aware=None,
is_public=True,
db_session=db_session,
user_file_ids=[uf.id],
)
db_session.refresh(uf)
assert uf.needs_persona_sync is True
def test_updating_persona_files_marks_both_old_and_new(
self,
db_session: Session,
tenant_context: None, # noqa: ARG002
) -> None:
"""When file associations change, both the removed and added files are flagged."""
user = create_test_user(db_session, "upsert_update")
uf_old = _create_completed_user_file(db_session, user)
uf_new = _create_completed_user_file(db_session, user)
persona = upsert_persona(
user=user,
name=f"persona-{uuid4().hex[:8]}",
description="test",
num_chunks=10.0,
llm_relevance_filter=False,
llm_filter_extraction=False,
recency_bias=RecencyBiasSetting.NO_DECAY,
llm_model_provider_override=None,
llm_model_version_override=None,
starter_messages=None,
system_prompt="test",
task_prompt="test",
datetime_aware=None,
is_public=True,
db_session=db_session,
user_file_ids=[uf_old.id],
)
# Clear the flag from creation so we can observe the update
uf_old.needs_persona_sync = False
db_session.commit()
assert persona.num_chunks is not None
# Now update the persona to swap files
upsert_persona(
user=user,
name=persona.name,
description=persona.description,
num_chunks=persona.num_chunks,
llm_relevance_filter=persona.llm_relevance_filter,
llm_filter_extraction=persona.llm_filter_extraction,
recency_bias=persona.recency_bias,
llm_model_provider_override=None,
llm_model_version_override=None,
starter_messages=None,
system_prompt=persona.system_prompt,
task_prompt=persona.task_prompt,
datetime_aware=None,
is_public=persona.is_public,
db_session=db_session,
persona_id=persona.id,
user_file_ids=[uf_new.id],
)
db_session.refresh(uf_old)
db_session.refresh(uf_new)
assert uf_old.needs_persona_sync is True, "Removed file should be flagged"
assert uf_new.needs_persona_sync is True, "Added file should be flagged"
def test_removing_all_files_marks_old_files(
self,
db_session: Session,
tenant_context: None, # noqa: ARG002
) -> None:
"""Removing all files from a persona flags the previously associated files."""
user = create_test_user(db_session, "upsert_remove")
uf = _create_completed_user_file(db_session, user)
persona = upsert_persona(
user=user,
name=f"persona-{uuid4().hex[:8]}",
description="test",
num_chunks=10.0,
llm_relevance_filter=False,
llm_filter_extraction=False,
recency_bias=RecencyBiasSetting.NO_DECAY,
llm_model_provider_override=None,
llm_model_version_override=None,
starter_messages=None,
system_prompt="test",
task_prompt="test",
datetime_aware=None,
is_public=True,
db_session=db_session,
user_file_ids=[uf.id],
)
uf.needs_persona_sync = False
db_session.commit()
assert persona.num_chunks is not None
upsert_persona(
user=user,
name=persona.name,
description=persona.description,
num_chunks=persona.num_chunks,
llm_relevance_filter=persona.llm_relevance_filter,
llm_filter_extraction=persona.llm_filter_extraction,
recency_bias=persona.recency_bias,
llm_model_provider_override=None,
llm_model_version_override=None,
starter_messages=None,
system_prompt=persona.system_prompt,
task_prompt=persona.task_prompt,
datetime_aware=None,
is_public=persona.is_public,
db_session=db_session,
persona_id=persona.id,
user_file_ids=[],
)
db_session.refresh(uf)
assert uf.needs_persona_sync is True

View File

@@ -0,0 +1,318 @@
"""
External dependency unit tests for UserFileIndexingAdapter metadata writing.
Validates that build_metadata_aware_chunks produces DocMetadataAwareIndexChunk
objects with both `user_project` and `personas` fields populated correctly
based on actual DB associations.
Uses real PostgreSQL for UserFile/Persona/UserProject rows.
Mocks the LLM tokenizer and file store since they are not relevant here.
"""
from unittest.mock import MagicMock
from unittest.mock import patch
from uuid import uuid4
from sqlalchemy.orm import Session
from onyx.configs.constants import DocumentSource
from onyx.connectors.models import Document
from onyx.connectors.models import TextSection
from onyx.context.search.enums import RecencyBiasSetting
from onyx.db.enums import UserFileStatus
from onyx.db.models import Persona
from onyx.db.models import Persona__UserFile
from onyx.db.models import Project__UserFile
from onyx.db.models import User
from onyx.db.models import UserFile
from onyx.db.models import UserProject
from onyx.indexing.adapters.user_file_indexing_adapter import UserFileIndexingAdapter
from onyx.indexing.indexing_pipeline import DocumentBatchPrepareContext
from onyx.indexing.models import ChunkEmbedding
from onyx.indexing.models import IndexChunk
from tests.external_dependency_unit.conftest import create_test_user
from tests.external_dependency_unit.constants import TEST_TENANT_ID
# ---------------------------------------------------------------------------
# Helpers
# ---------------------------------------------------------------------------
def _create_user_file(db_session: Session, user: User) -> UserFile:
uf = UserFile(
id=uuid4(),
user_id=user.id,
file_id=f"test_file_{uuid4().hex[:8]}",
name=f"test_{uuid4().hex[:8]}.txt",
file_type="text/plain",
status=UserFileStatus.COMPLETED,
chunk_count=1,
)
db_session.add(uf)
db_session.commit()
db_session.refresh(uf)
return uf
def _create_persona(db_session: Session, user: User) -> Persona:
persona = Persona(
name=f"Test Persona {uuid4().hex[:8]}",
description="Test persona",
num_chunks=10.0,
chunks_above=0,
chunks_below=0,
llm_relevance_filter=False,
llm_filter_extraction=False,
recency_bias=RecencyBiasSetting.NO_DECAY,
system_prompt="test",
task_prompt="test",
tools=[],
document_sets=[],
users=[user],
groups=[],
is_visible=True,
is_public=True,
display_priority=None,
starter_messages=None,
deleted=False,
user_id=user.id,
)
db_session.add(persona)
db_session.commit()
db_session.refresh(persona)
return persona
def _create_project(db_session: Session, user: User) -> UserProject:
project = UserProject(
user_id=user.id,
name=f"project-{uuid4().hex[:8]}",
instructions="",
)
db_session.add(project)
db_session.commit()
db_session.refresh(project)
return project
def _make_index_chunk(user_file: UserFile) -> IndexChunk:
"""Build a minimal IndexChunk whose source document ID matches the UserFile."""
doc = Document(
id=str(user_file.id),
source=DocumentSource.USER_FILE,
semantic_identifier=user_file.name,
sections=[TextSection(text="test chunk content", link=None)],
metadata={},
)
return IndexChunk(
source_document=doc,
chunk_id=0,
blurb="test chunk",
content="test chunk content",
source_links={0: ""},
image_file_id=None,
section_continuation=False,
title_prefix="",
metadata_suffix_semantic="",
metadata_suffix_keyword="",
contextual_rag_reserved_tokens=0,
doc_summary="",
chunk_context="",
mini_chunk_texts=None,
large_chunk_id=None,
embeddings=ChunkEmbedding(
full_embedding=[0.0] * 768,
mini_chunk_embeddings=[],
),
title_embedding=None,
)
# ---------------------------------------------------------------------------
# Tests
# ---------------------------------------------------------------------------
class TestAdapterWritesBothMetadataFields:
"""build_metadata_aware_chunks must populate user_project AND personas."""
@patch(
"onyx.indexing.adapters.user_file_indexing_adapter.get_default_llm",
side_effect=Exception("no LLM in test"),
)
def test_file_linked_to_persona_gets_persona_id(
self,
_mock_llm: MagicMock,
db_session: Session,
tenant_context: None, # noqa: ARG002
) -> None:
user = create_test_user(db_session, "adapter_persona")
uf = _create_user_file(db_session, user)
persona = _create_persona(db_session, user)
db_session.add(Persona__UserFile(persona_id=persona.id, user_file_id=uf.id))
db_session.commit()
adapter = UserFileIndexingAdapter(
tenant_id=TEST_TENANT_ID, db_session=db_session
)
chunk = _make_index_chunk(uf)
doc = chunk.source_document
context = DocumentBatchPrepareContext(updatable_docs=[doc], id_to_boost_map={})
result = adapter.build_metadata_aware_chunks(
chunks_with_embeddings=[chunk],
chunk_content_scores=[1.0],
tenant_id=TEST_TENANT_ID,
context=context,
)
assert len(result.chunks) == 1
aware_chunk = result.chunks[0]
assert persona.id in aware_chunk.personas
assert aware_chunk.user_project == []
@patch(
"onyx.indexing.adapters.user_file_indexing_adapter.get_default_llm",
side_effect=Exception("no LLM in test"),
)
def test_file_linked_to_project_gets_project_id(
self,
_mock_llm: MagicMock,
db_session: Session,
tenant_context: None, # noqa: ARG002
) -> None:
user = create_test_user(db_session, "adapter_project")
uf = _create_user_file(db_session, user)
project = _create_project(db_session, user)
db_session.add(Project__UserFile(project_id=project.id, user_file_id=uf.id))
db_session.commit()
adapter = UserFileIndexingAdapter(
tenant_id=TEST_TENANT_ID, db_session=db_session
)
chunk = _make_index_chunk(uf)
context = DocumentBatchPrepareContext(
updatable_docs=[chunk.source_document], id_to_boost_map={}
)
result = adapter.build_metadata_aware_chunks(
chunks_with_embeddings=[chunk],
chunk_content_scores=[1.0],
tenant_id=TEST_TENANT_ID,
context=context,
)
assert len(result.chunks) == 1
aware_chunk = result.chunks[0]
assert project.id in aware_chunk.user_project
assert aware_chunk.personas == []
@patch(
"onyx.indexing.adapters.user_file_indexing_adapter.get_default_llm",
side_effect=Exception("no LLM in test"),
)
def test_file_linked_to_both_gets_both_ids(
self,
_mock_llm: MagicMock,
db_session: Session,
tenant_context: None, # noqa: ARG002
) -> None:
user = create_test_user(db_session, "adapter_both")
uf = _create_user_file(db_session, user)
persona = _create_persona(db_session, user)
project = _create_project(db_session, user)
db_session.add(Persona__UserFile(persona_id=persona.id, user_file_id=uf.id))
db_session.add(Project__UserFile(project_id=project.id, user_file_id=uf.id))
db_session.commit()
adapter = UserFileIndexingAdapter(
tenant_id=TEST_TENANT_ID, db_session=db_session
)
chunk = _make_index_chunk(uf)
context = DocumentBatchPrepareContext(
updatable_docs=[chunk.source_document], id_to_boost_map={}
)
result = adapter.build_metadata_aware_chunks(
chunks_with_embeddings=[chunk],
chunk_content_scores=[1.0],
tenant_id=TEST_TENANT_ID,
context=context,
)
aware_chunk = result.chunks[0]
assert persona.id in aware_chunk.personas
assert project.id in aware_chunk.user_project
@patch(
"onyx.indexing.adapters.user_file_indexing_adapter.get_default_llm",
side_effect=Exception("no LLM in test"),
)
def test_file_with_no_associations_gets_empty_lists(
self,
_mock_llm: MagicMock,
db_session: Session,
tenant_context: None, # noqa: ARG002
) -> None:
user = create_test_user(db_session, "adapter_empty")
uf = _create_user_file(db_session, user)
adapter = UserFileIndexingAdapter(
tenant_id=TEST_TENANT_ID, db_session=db_session
)
chunk = _make_index_chunk(uf)
context = DocumentBatchPrepareContext(
updatable_docs=[chunk.source_document], id_to_boost_map={}
)
result = adapter.build_metadata_aware_chunks(
chunks_with_embeddings=[chunk],
chunk_content_scores=[1.0],
tenant_id=TEST_TENANT_ID,
context=context,
)
aware_chunk = result.chunks[0]
assert aware_chunk.personas == []
assert aware_chunk.user_project == []
@patch(
"onyx.indexing.adapters.user_file_indexing_adapter.get_default_llm",
side_effect=Exception("no LLM in test"),
)
def test_multiple_personas_all_appear(
self,
_mock_llm: MagicMock,
db_session: Session,
tenant_context: None, # noqa: ARG002
) -> None:
"""A file linked to multiple personas should have all their IDs."""
user = create_test_user(db_session, "adapter_multi")
uf = _create_user_file(db_session, user)
persona_a = _create_persona(db_session, user)
persona_b = _create_persona(db_session, user)
db_session.add(Persona__UserFile(persona_id=persona_a.id, user_file_id=uf.id))
db_session.add(Persona__UserFile(persona_id=persona_b.id, user_file_id=uf.id))
db_session.commit()
adapter = UserFileIndexingAdapter(
tenant_id=TEST_TENANT_ID, db_session=db_session
)
chunk = _make_index_chunk(uf)
context = DocumentBatchPrepareContext(
updatable_docs=[chunk.source_document], id_to_boost_map={}
)
result = adapter.build_metadata_aware_chunks(
chunks_with_embeddings=[chunk],
chunk_content_scores=[1.0],
tenant_id=TEST_TENANT_ID,
context=context,
)
aware_chunk = result.chunks[0]
assert set(aware_chunk.personas) == {persona_a.id, persona_b.id}

View File

@@ -144,7 +144,8 @@ def use_mock_search_pipeline(
auto_detect_filters: bool = False, # noqa: ARG001
llm: LLM | None = None, # noqa: ARG001
project_id: int | None = None, # noqa: ARG001
# Pre-fetched data (used by SearchTool to avoid DB access in parallel)
persona_id: int | None = None, # noqa: ARG001
# Pre-fetched data (used by SearchTool to avoid DB access in parallel calls)
acl_filters: list[str] | None = None, # noqa: ARG001
embedding_model: EmbeddingModel | None = None, # noqa: ARG001
prefetched_federated_retrieval_infos: ( # noqa: ARG001

View File

@@ -38,6 +38,7 @@ def _get_search_filters(
tags=[],
document_sets=[],
project_id=None,
persona_id=None,
time_cutoff=None,
min_chunk_index=None,
max_chunk_index=None,

View File

@@ -1,4 +1,4 @@
"""External dependency unit tests for OpenSearchClient.
"""External dependency unit tests for OpenSearchIndexClient.
These tests assume OpenSearch is running and test all implemented methods
using real schemas, pipelines, and search queries from the codebase.
@@ -19,7 +19,7 @@ from onyx.access.utils import prefix_user_email
from onyx.configs.constants import DocumentSource
from onyx.context.search.models import IndexFilters
from onyx.document_index.interfaces_new import TenantState
from onyx.document_index.opensearch.client import OpenSearchClient
from onyx.document_index.opensearch.client import OpenSearchIndexClient
from onyx.document_index.opensearch.client import wait_for_opensearch_with_timeout
from onyx.document_index.opensearch.constants import DEFAULT_MAX_CHUNK_SIZE
from onyx.document_index.opensearch.opensearch_document_index import (
@@ -125,10 +125,10 @@ def opensearch_available() -> None:
@pytest.fixture(scope="function")
def test_client(
opensearch_available: None, # noqa: ARG001
) -> Generator[OpenSearchClient, None, None]:
) -> Generator[OpenSearchIndexClient, None, None]:
"""Creates an OpenSearch client for testing with automatic cleanup."""
test_index_name = f"test_index_{uuid.uuid4().hex[:8]}"
client = OpenSearchClient(index_name=test_index_name)
client = OpenSearchIndexClient(index_name=test_index_name)
yield client # Test runs here.
@@ -142,7 +142,7 @@ def test_client(
@pytest.fixture(scope="function")
def search_pipeline(test_client: OpenSearchClient) -> Generator[None, None, None]:
def search_pipeline(test_client: OpenSearchIndexClient) -> Generator[None, None, None]:
"""Creates a search pipeline for testing with automatic cleanup."""
test_client.create_search_pipeline(
pipeline_id=MIN_MAX_NORMALIZATION_PIPELINE_NAME,
@@ -158,9 +158,9 @@ def search_pipeline(test_client: OpenSearchClient) -> Generator[None, None, None
class TestOpenSearchClient:
"""Tests for OpenSearchClient."""
"""Tests for OpenSearchIndexClient."""
def test_create_index(self, test_client: OpenSearchClient) -> None:
def test_create_index(self, test_client: OpenSearchIndexClient) -> None:
"""Tests creating an index with a real schema."""
# Precondition.
mappings = DocumentSchema.get_document_schema(
@@ -176,7 +176,7 @@ class TestOpenSearchClient:
# Verify index exists.
assert test_client.validate_index(expected_mappings=mappings) is True
def test_delete_existing_index(self, test_client: OpenSearchClient) -> None:
def test_delete_existing_index(self, test_client: OpenSearchIndexClient) -> None:
"""Tests deleting an existing index returns True."""
# Precondition.
mappings = DocumentSchema.get_document_schema(
@@ -193,7 +193,7 @@ class TestOpenSearchClient:
assert result is True
assert test_client.validate_index(expected_mappings=mappings) is False
def test_delete_nonexistent_index(self, test_client: OpenSearchClient) -> None:
def test_delete_nonexistent_index(self, test_client: OpenSearchIndexClient) -> None:
"""Tests deleting a nonexistent index returns False."""
# Under test.
# Don't create index, just try to delete.
@@ -202,7 +202,7 @@ class TestOpenSearchClient:
# Postcondition.
assert result is False
def test_index_exists(self, test_client: OpenSearchClient) -> None:
def test_index_exists(self, test_client: OpenSearchIndexClient) -> None:
"""Tests checking if an index exists."""
# Precondition.
# Index should not exist before creation.
@@ -219,7 +219,7 @@ class TestOpenSearchClient:
# Index should exist after creation.
assert test_client.index_exists() is True
def test_validate_index(self, test_client: OpenSearchClient) -> None:
def test_validate_index(self, test_client: OpenSearchIndexClient) -> None:
"""Tests validating an index."""
# Precondition.
mappings = DocumentSchema.get_document_schema(
@@ -239,7 +239,120 @@ class TestOpenSearchClient:
# Should return True after creation.
assert test_client.validate_index(expected_mappings=mappings) is True
def test_create_duplicate_index(self, test_client: OpenSearchClient) -> None:
def test_put_mapping_idempotent(self, test_client: OpenSearchIndexClient) -> None:
"""Tests put_mapping with same schema is idempotent."""
# Precondition.
mappings = DocumentSchema.get_document_schema(
vector_dimension=128, multitenant=True
)
settings = DocumentSchema.get_index_settings()
test_client.create_index(mappings=mappings, settings=settings)
# Under test.
# Applying the same mappings again should succeed.
test_client.put_mapping(mappings)
# Postcondition.
# Index should still be valid.
assert test_client.validate_index(expected_mappings=mappings)
def test_put_mapping_adds_new_field(
self, test_client: OpenSearchIndexClient
) -> None:
"""Tests put_mapping successfully adds new fields to existing index."""
# Precondition.
# Create index with minimal schema (just required fields).
initial_mappings = {
"dynamic": "strict",
"properties": {
"document_id": {"type": "keyword"},
"chunk_index": {"type": "integer"},
"content": {"type": "text"},
"content_vector": {
"type": "knn_vector",
"dimension": 128,
"method": {
"name": "hnsw",
"space_type": "cosinesimil",
"engine": "lucene",
"parameters": {"ef_construction": 512, "m": 16},
},
},
},
}
settings = DocumentSchema.get_index_settings()
test_client.create_index(mappings=initial_mappings, settings=settings)
# Under test.
# Add a new field using put_mapping.
updated_mappings = {
"properties": {
"document_id": {"type": "keyword"},
"chunk_index": {"type": "integer"},
"content": {"type": "text"},
"content_vector": {
"type": "knn_vector",
"dimension": 128,
"method": {
"name": "hnsw",
"space_type": "cosinesimil",
"engine": "lucene",
"parameters": {"ef_construction": 512, "m": 16},
},
},
# New field
"new_test_field": {"type": "keyword"},
},
}
# Should not raise.
test_client.put_mapping(updated_mappings)
# Postcondition.
# Validate the new schema includes the new field.
assert test_client.validate_index(expected_mappings=updated_mappings)
def test_put_mapping_fails_on_type_change(
self, test_client: OpenSearchIndexClient
) -> None:
"""Tests put_mapping fails when trying to change existing field type."""
# Precondition.
initial_mappings = {
"dynamic": "strict",
"properties": {
"document_id": {"type": "keyword"},
"test_field": {"type": "keyword"},
},
}
settings = DocumentSchema.get_index_settings()
test_client.create_index(mappings=initial_mappings, settings=settings)
# Under test and postcondition.
# Try to change test_field type from keyword to text.
conflicting_mappings = {
"properties": {
"document_id": {"type": "keyword"},
"test_field": {"type": "text"}, # Changed from keyword to text
},
}
# Should raise because field type cannot be changed.
with pytest.raises(Exception, match="mapper|illegal_argument_exception"):
test_client.put_mapping(conflicting_mappings)
def test_put_mapping_on_nonexistent_index(
self, test_client: OpenSearchIndexClient
) -> None:
"""Tests put_mapping on non-existent index raises an error."""
# Precondition.
# Index does not exist yet.
mappings = DocumentSchema.get_document_schema(
vector_dimension=128, multitenant=True
)
# Under test and postcondition.
with pytest.raises(Exception, match="index_not_found_exception|404"):
test_client.put_mapping(mappings)
def test_create_duplicate_index(self, test_client: OpenSearchIndexClient) -> None:
"""Tests creating an index twice raises an error."""
# Precondition.
mappings = DocumentSchema.get_document_schema(
@@ -254,14 +367,14 @@ class TestOpenSearchClient:
with pytest.raises(Exception, match="already exists"):
test_client.create_index(mappings=mappings, settings=settings)
def test_update_settings(self, test_client: OpenSearchClient) -> None:
def test_update_settings(self, test_client: OpenSearchIndexClient) -> None:
"""Tests that update_settings raises NotImplementedError."""
# Under test and postcondition.
with pytest.raises(NotImplementedError):
test_client.update_settings(settings={})
def test_create_and_delete_search_pipeline(
self, test_client: OpenSearchClient
self, test_client: OpenSearchIndexClient
) -> None:
"""Tests creating and deleting a search pipeline."""
# Under test and postcondition.
@@ -278,7 +391,7 @@ class TestOpenSearchClient:
)
def test_index_document(
self, test_client: OpenSearchClient, monkeypatch: pytest.MonkeyPatch
self, test_client: OpenSearchIndexClient, monkeypatch: pytest.MonkeyPatch
) -> None:
"""Tests indexing a document."""
# Precondition.
@@ -306,7 +419,7 @@ class TestOpenSearchClient:
)
def test_bulk_index_documents(
self, test_client: OpenSearchClient, monkeypatch: pytest.MonkeyPatch
self, test_client: OpenSearchIndexClient, monkeypatch: pytest.MonkeyPatch
) -> None:
"""Tests bulk indexing documents."""
# Precondition.
@@ -337,7 +450,7 @@ class TestOpenSearchClient:
)
def test_index_duplicate_document(
self, test_client: OpenSearchClient, monkeypatch: pytest.MonkeyPatch
self, test_client: OpenSearchIndexClient, monkeypatch: pytest.MonkeyPatch
) -> None:
"""Tests indexing a duplicate document raises an error."""
# Precondition.
@@ -365,7 +478,7 @@ class TestOpenSearchClient:
test_client.index_document(document=doc, tenant_state=tenant_state)
def test_get_document(
self, test_client: OpenSearchClient, monkeypatch: pytest.MonkeyPatch
self, test_client: OpenSearchIndexClient, monkeypatch: pytest.MonkeyPatch
) -> None:
"""Tests getting a document."""
# Precondition.
@@ -401,7 +514,7 @@ class TestOpenSearchClient:
assert retrieved_doc == original_doc
def test_get_nonexistent_document(
self, test_client: OpenSearchClient, monkeypatch: pytest.MonkeyPatch
self, test_client: OpenSearchIndexClient, monkeypatch: pytest.MonkeyPatch
) -> None:
"""Tests getting a nonexistent document raises an error."""
# Precondition.
@@ -419,7 +532,7 @@ class TestOpenSearchClient:
)
def test_delete_existing_document(
self, test_client: OpenSearchClient, monkeypatch: pytest.MonkeyPatch
self, test_client: OpenSearchIndexClient, monkeypatch: pytest.MonkeyPatch
) -> None:
"""Tests deleting an existing document returns True."""
# Precondition.
@@ -455,7 +568,7 @@ class TestOpenSearchClient:
test_client.get_document(document_chunk_id=doc_chunk_id)
def test_delete_nonexistent_document(
self, test_client: OpenSearchClient, monkeypatch: pytest.MonkeyPatch
self, test_client: OpenSearchIndexClient, monkeypatch: pytest.MonkeyPatch
) -> None:
"""Tests deleting a nonexistent document returns False."""
# Precondition.
@@ -476,7 +589,7 @@ class TestOpenSearchClient:
assert result is False
def test_delete_by_query(
self, test_client: OpenSearchClient, monkeypatch: pytest.MonkeyPatch
self, test_client: OpenSearchIndexClient, monkeypatch: pytest.MonkeyPatch
) -> None:
"""Tests deleting documents by query."""
# Precondition.
@@ -552,7 +665,7 @@ class TestOpenSearchClient:
assert len(keep_ids) == 1
def test_update_document(
self, test_client: OpenSearchClient, monkeypatch: pytest.MonkeyPatch
self, test_client: OpenSearchIndexClient, monkeypatch: pytest.MonkeyPatch
) -> None:
"""Tests updating a document's properties."""
# Precondition.
@@ -601,7 +714,7 @@ class TestOpenSearchClient:
assert updated_doc.public == doc.public
def test_update_nonexistent_document(
self, test_client: OpenSearchClient, monkeypatch: pytest.MonkeyPatch
self, test_client: OpenSearchIndexClient, monkeypatch: pytest.MonkeyPatch
) -> None:
"""Tests updating a nonexistent document raises an error."""
# Precondition.
@@ -623,7 +736,7 @@ class TestOpenSearchClient:
def test_hybrid_search_with_pipeline(
self,
test_client: OpenSearchClient,
test_client: OpenSearchIndexClient,
search_pipeline: None, # noqa: ARG002
monkeypatch: pytest.MonkeyPatch,
) -> None:
@@ -704,7 +817,7 @@ class TestOpenSearchClient:
def test_search_empty_index(
self,
test_client: OpenSearchClient,
test_client: OpenSearchIndexClient,
search_pipeline: None, # noqa: ARG002
monkeypatch: pytest.MonkeyPatch,
) -> None:
@@ -743,7 +856,7 @@ class TestOpenSearchClient:
def test_hybrid_search_with_pipeline_and_filters(
self,
test_client: OpenSearchClient,
test_client: OpenSearchIndexClient,
search_pipeline: None, # noqa: ARG002
monkeypatch: pytest.MonkeyPatch,
) -> None:
@@ -863,7 +976,7 @@ class TestOpenSearchClient:
def test_hybrid_search_with_pipeline_and_filters_returns_chunks_with_related_content_first(
self,
test_client: OpenSearchClient,
test_client: OpenSearchIndexClient,
search_pipeline: None, # noqa: ARG002
monkeypatch: pytest.MonkeyPatch,
) -> None:
@@ -993,7 +1106,7 @@ class TestOpenSearchClient:
previous_score = current_score
def test_delete_by_query_multitenant_isolation(
self, test_client: OpenSearchClient, monkeypatch: pytest.MonkeyPatch
self, test_client: OpenSearchIndexClient, monkeypatch: pytest.MonkeyPatch
) -> None:
"""
Tests delete_by_query respects tenant boundaries in multi-tenant mode.
@@ -1087,7 +1200,7 @@ class TestOpenSearchClient:
assert set(remaining_y_ids) == expected_y_ids
def test_delete_by_query_nonexistent_document(
self, test_client: OpenSearchClient, monkeypatch: pytest.MonkeyPatch
self, test_client: OpenSearchIndexClient, monkeypatch: pytest.MonkeyPatch
) -> None:
"""
Tests delete_by_query for non-existent document returns 0 deleted.
@@ -1116,7 +1229,7 @@ class TestOpenSearchClient:
assert num_deleted == 0
def test_search_for_document_ids(
self, test_client: OpenSearchClient, monkeypatch: pytest.MonkeyPatch
self, test_client: OpenSearchIndexClient, monkeypatch: pytest.MonkeyPatch
) -> None:
"""Tests search_for_document_ids method returns correct chunk IDs."""
# Precondition.
@@ -1181,7 +1294,7 @@ class TestOpenSearchClient:
assert set(chunk_ids) == expected_ids
def test_search_with_no_document_access_can_retrieve_all_documents(
self, test_client: OpenSearchClient, monkeypatch: pytest.MonkeyPatch
self, test_client: OpenSearchIndexClient, monkeypatch: pytest.MonkeyPatch
) -> None:
"""
Tests search with no document access can retrieve all documents, even
@@ -1259,7 +1372,7 @@ class TestOpenSearchClient:
def test_time_cutoff_filter(
self,
test_client: OpenSearchClient,
test_client: OpenSearchIndexClient,
search_pipeline: None, # noqa: ARG002
monkeypatch: pytest.MonkeyPatch,
) -> None:
@@ -1352,7 +1465,7 @@ class TestOpenSearchClient:
)
def test_random_search(
self, test_client: OpenSearchClient, monkeypatch: pytest.MonkeyPatch
self, test_client: OpenSearchIndexClient, monkeypatch: pytest.MonkeyPatch
) -> None:
"""Tests the random search query works."""
# Precondition.

View File

@@ -37,6 +37,7 @@ from onyx.db.opensearch_migration import build_sanitized_to_original_doc_id_mapp
from onyx.db.search_settings import get_active_search_settings
from onyx.document_index.interfaces_new import TenantState
from onyx.document_index.opensearch.client import OpenSearchClient
from onyx.document_index.opensearch.client import OpenSearchIndexClient
from onyx.document_index.opensearch.client import wait_for_opensearch_with_timeout
from onyx.document_index.opensearch.constants import DEFAULT_MAX_CHUNK_SIZE
from onyx.document_index.opensearch.schema import DocumentChunk
@@ -74,7 +75,7 @@ CHUNK_COUNT = 5
def _get_document_chunks_from_opensearch(
opensearch_client: OpenSearchClient, document_id: str, current_tenant_id: str
opensearch_client: OpenSearchIndexClient, document_id: str, current_tenant_id: str
) -> list[DocumentChunk]:
opensearch_client.refresh_index()
filters = IndexFilters(access_control_list=None, tenant_id=current_tenant_id)
@@ -95,7 +96,7 @@ def _get_document_chunks_from_opensearch(
def _delete_document_chunks_from_opensearch(
opensearch_client: OpenSearchClient, document_id: str, current_tenant_id: str
opensearch_client: OpenSearchIndexClient, document_id: str, current_tenant_id: str
) -> None:
opensearch_client.refresh_index()
query_body = DocumentQuery.delete_from_document_id_query(
@@ -283,10 +284,10 @@ def vespa_document_index(
def opensearch_client(
db_session: Session,
full_deployment_setup: None, # noqa: ARG001
) -> Generator[OpenSearchClient, None, None]:
) -> Generator[OpenSearchIndexClient, None, None]:
"""Creates an OpenSearch client for the test tenant."""
active = get_active_search_settings(db_session)
yield OpenSearchClient(index_name=active.primary.index_name) # Test runs here.
yield OpenSearchIndexClient(index_name=active.primary.index_name) # Test runs here.
@pytest.fixture(scope="module")
@@ -330,7 +331,7 @@ def patch_get_vespa_chunks_page_size() -> Generator[int, None, None]:
def test_documents(
db_session: Session,
vespa_document_index: VespaDocumentIndex,
opensearch_client: OpenSearchClient,
opensearch_client: OpenSearchIndexClient,
patch_get_vespa_chunks_page_size: int,
) -> Generator[list[Document], None, None]:
"""
@@ -411,7 +412,7 @@ class TestMigrateChunksFromVespaToOpenSearchTask:
db_session: Session,
test_documents: list[Document],
vespa_document_index: VespaDocumentIndex,
opensearch_client: OpenSearchClient,
opensearch_client: OpenSearchIndexClient,
test_embedding_dimension: int,
clean_migration_tables: None, # noqa: ARG002
enable_opensearch_indexing_for_onyx: None, # noqa: ARG002
@@ -480,7 +481,7 @@ class TestMigrateChunksFromVespaToOpenSearchTask:
db_session: Session,
test_documents: list[Document],
vespa_document_index: VespaDocumentIndex,
opensearch_client: OpenSearchClient,
opensearch_client: OpenSearchIndexClient,
test_embedding_dimension: int,
clean_migration_tables: None, # noqa: ARG002
enable_opensearch_indexing_for_onyx: None, # noqa: ARG002
@@ -618,7 +619,7 @@ class TestMigrateChunksFromVespaToOpenSearchTask:
db_session: Session,
test_documents: list[Document],
vespa_document_index: VespaDocumentIndex,
opensearch_client: OpenSearchClient,
opensearch_client: OpenSearchIndexClient,
test_embedding_dimension: int,
clean_migration_tables: None, # noqa: ARG002
enable_opensearch_indexing_for_onyx: None, # noqa: ARG002
@@ -712,7 +713,7 @@ class TestMigrateChunksFromVespaToOpenSearchTask:
db_session: Session,
test_documents: list[Document],
vespa_document_index: VespaDocumentIndex,
opensearch_client: OpenSearchClient,
opensearch_client: OpenSearchIndexClient,
test_embedding_dimension: int,
clean_migration_tables: None, # noqa: ARG002
enable_opensearch_indexing_for_onyx: None, # noqa: ARG002

View File

@@ -20,6 +20,7 @@ from onyx.auth.oauth_token_manager import OAuthTokenManager
from onyx.db.models import OAuthConfig
from onyx.db.oauth_config import create_oauth_config
from onyx.db.oauth_config import upsert_user_oauth_token
from onyx.utils.sensitive import SensitiveValue
from tests.external_dependency_unit.conftest import create_test_user
@@ -491,3 +492,19 @@ class TestOAuthTokenManagerURLBuilding:
# Should use & instead of ? since URL already has query params
assert "foo=bar&" in url or "?foo=bar" in url
assert "client_id=custom_client_id" in url
class TestUnwrapSensitiveStr:
"""Tests for _unwrap_sensitive_str static method"""
def test_unwrap_sensitive_str(self) -> None:
"""Test that both SensitiveValue and plain str inputs are handled"""
# SensitiveValue input
sensitive = SensitiveValue[str](
encrypted_bytes=b"test_client_id",
decrypt_fn=lambda b: b.decode(),
)
assert OAuthTokenManager._unwrap_sensitive_str(sensitive) == "test_client_id"
# Plain str input
assert OAuthTokenManager._unwrap_sensitive_str("plain_string") == "plain_string"

View File

@@ -0,0 +1,53 @@
"""Tests that PythonTool.is_available() respects the server_enabled DB flag.
Uses a real DB session with CODE_INTERPRETER_BASE_URL mocked so the
environment-variable check passes and the DB flag is the deciding factor.
"""
from unittest.mock import patch
from sqlalchemy.orm import Session
from onyx.db.code_interpreter import fetch_code_interpreter_server
from onyx.db.code_interpreter import update_code_interpreter_server_enabled
from onyx.tools.tool_implementations.python.python_tool import PythonTool
def test_python_tool_unavailable_when_server_disabled(
db_session: Session,
) -> None:
"""With a valid base URL, the tool should be unavailable when
server_enabled is False in the DB."""
server = fetch_code_interpreter_server(db_session)
initial_enabled = server.server_enabled
try:
update_code_interpreter_server_enabled(db_session, enabled=False)
with patch(
"onyx.tools.tool_implementations.python.python_tool.CODE_INTERPRETER_BASE_URL",
"http://fake:8888",
):
assert PythonTool.is_available(db_session) is False
finally:
update_code_interpreter_server_enabled(db_session, enabled=initial_enabled)
def test_python_tool_available_when_server_enabled(
db_session: Session,
) -> None:
"""With a valid base URL, the tool should be available when
server_enabled is True in the DB."""
server = fetch_code_interpreter_server(db_session)
initial_enabled = server.server_enabled
try:
update_code_interpreter_server_enabled(db_session, enabled=True)
with patch(
"onyx.tools.tool_implementations.python.python_tool.CODE_INTERPRETER_BASE_URL",
"http://fake:8888",
):
assert PythonTool.is_available(db_session) is True
finally:
update_code_interpreter_server_enabled(db_session, enabled=initial_enabled)

View File

@@ -38,5 +38,5 @@ COPY --from=openapi-client /local/onyx_openapi_client /app/generated/onyx_openap
ENV PYTHONPATH=/app
ENTRYPOINT ["pytest", "-s"]
ENTRYPOINT ["pytest", "-s", "-rs"]
CMD ["/app/tests/integration", "--ignore=/app/tests/integration/multitenant_tests"]

View File

@@ -76,9 +76,12 @@ class ChatSessionManager:
user_performing_action: DATestUser,
persona_id: int = 0,
description: str = "Test chat session",
project_id: int | None = None,
) -> DATestChatSession:
chat_session_creation_req = ChatSessionCreationRequest(
persona_id=persona_id, description=description
persona_id=persona_id,
description=description,
project_id=project_id,
)
response = requests.post(
f"{API_SERVER_URL}/chat/create-chat-session",

View File

@@ -1,3 +1,4 @@
import time
from datetime import datetime
from urllib.parse import urlencode
from uuid import UUID
@@ -8,8 +9,10 @@ from requests.models import CaseInsensitiveDict
from ee.onyx.server.query_history.models import ChatSessionMinimal
from ee.onyx.server.query_history.models import ChatSessionSnapshot
from onyx.configs.constants import QAFeedbackType
from onyx.db.enums import TaskStatus
from onyx.server.documents.models import PaginatedReturn
from tests.integration.common_utils.constants import API_SERVER_URL
from tests.integration.common_utils.constants import MAX_DELAY
from tests.integration.common_utils.test_models import DATestUser
@@ -69,9 +72,42 @@ class QueryHistoryManager:
if end_time:
query_params["end"] = end_time.isoformat()
response = requests.get(
url=f"{API_SERVER_URL}/admin/query-history-csv?{urlencode(query_params, doseq=True)}",
start_response = requests.post(
url=f"{API_SERVER_URL}/admin/query-history/start-export?{urlencode(query_params, doseq=True)}",
headers=user_performing_action.headers,
)
response.raise_for_status()
return response.headers, response.content.decode()
start_response.raise_for_status()
request_id = start_response.json()["request_id"]
deadline = time.time() + MAX_DELAY
while time.time() < deadline:
status_response = requests.get(
url=f"{API_SERVER_URL}/admin/query-history/export-status",
params={"request_id": request_id},
headers=user_performing_action.headers,
)
status_response.raise_for_status()
status = status_response.json()["status"]
if status == TaskStatus.SUCCESS:
break
if status == TaskStatus.FAILURE:
raise RuntimeError("Query history export task failed")
time.sleep(2)
else:
raise TimeoutError(
f"Query history export not completed within {MAX_DELAY} seconds"
)
download_response = requests.get(
url=f"{API_SERVER_URL}/admin/query-history/download",
params={"request_id": request_id},
headers=user_performing_action.headers,
)
download_response.raise_for_status()
if not download_response.content:
raise RuntimeError(
"Query history CSV download returned zero-length content"
)
return download_response.headers, download_response.content.decode()

View File

@@ -0,0 +1,79 @@
import requests
from tests.integration.common_utils.constants import API_SERVER_URL
from tests.integration.common_utils.constants import GENERAL_HEADERS
from tests.integration.common_utils.test_models import DATestScimToken
from tests.integration.common_utils.test_models import DATestUser
class ScimTokenManager:
@staticmethod
def create(
name: str,
user_performing_action: DATestUser,
) -> DATestScimToken:
response = requests.post(
f"{API_SERVER_URL}/admin/enterprise-settings/scim/token",
json={"name": name},
headers=user_performing_action.headers,
timeout=60,
)
response.raise_for_status()
data = response.json()
return DATestScimToken(
id=data["id"],
name=data["name"],
token_display=data["token_display"],
is_active=data["is_active"],
created_at=data["created_at"],
last_used_at=data.get("last_used_at"),
raw_token=data["raw_token"],
)
@staticmethod
def get_active(
user_performing_action: DATestUser,
) -> DATestScimToken | None:
response = requests.get(
f"{API_SERVER_URL}/admin/enterprise-settings/scim/token",
headers=user_performing_action.headers,
timeout=60,
)
if response.status_code == 404:
return None
response.raise_for_status()
data = response.json()
return DATestScimToken(
id=data["id"],
name=data["name"],
token_display=data["token_display"],
is_active=data["is_active"],
created_at=data["created_at"],
last_used_at=data.get("last_used_at"),
)
@staticmethod
def get_scim_headers(raw_token: str) -> dict[str, str]:
return {
**GENERAL_HEADERS,
"Authorization": f"Bearer {raw_token}",
}
@staticmethod
def scim_get(
path: str,
raw_token: str,
) -> requests.Response:
return requests.get(
f"{API_SERVER_URL}/scim/v2{path}",
headers=ScimTokenManager.get_scim_headers(raw_token),
timeout=60,
)
@staticmethod
def scim_get_no_auth(path: str) -> requests.Response:
return requests.get(
f"{API_SERVER_URL}/scim/v2{path}",
headers=GENERAL_HEADERS,
timeout=60,
)

View File

@@ -42,6 +42,18 @@ class DATestPAT(BaseModel):
last_used_at: str | None = None
class DATestScimToken(BaseModel):
"""SCIM bearer token model for testing."""
id: int
name: str
raw_token: str | None = None # Only present on initial creation
token_display: str
is_active: bool
created_at: str
last_used_at: str | None = None
class DATestAPIKey(BaseModel):
api_key_id: int
api_key_display: str

View File

@@ -6,16 +6,26 @@ import pytest
from onyx.connectors.slack.models import ChannelType
from tests.integration.connector_job_tests.slack.slack_api_utils import SlackManager
# from tests.load_env_vars import load_env_vars
# load_env_vars()
SLACK_ADMIN_EMAIL = os.environ.get("SLACK_ADMIN_EMAIL", "evan@onyx.app")
SLACK_TEST_USER_1_EMAIL = os.environ.get("SLACK_TEST_USER_1_EMAIL", "evan+1@onyx.app")
SLACK_TEST_USER_2_EMAIL = os.environ.get("SLACK_TEST_USER_2_EMAIL", "justin@onyx.app")
@pytest.fixture()
def slack_test_setup() -> Generator[tuple[ChannelType, ChannelType], None, None]:
slack_client = SlackManager.get_slack_client(os.environ["SLACK_BOT_TOKEN"])
def _provision_slack_channels(
bot_token: str,
) -> Generator[tuple[ChannelType, ChannelType], None, None]:
slack_client = SlackManager.get_slack_client(bot_token)
auth_info = slack_client.auth_test()
print(f"\nSlack workspace: {auth_info.get('team')} ({auth_info.get('url')})")
user_map = SlackManager.build_slack_user_email_id_map(slack_client)
admin_user_id = user_map["admin@example.com"]
if SLACK_ADMIN_EMAIL not in user_map:
raise KeyError(
f"'{SLACK_ADMIN_EMAIL}' not found in Slack workspace. "
f"Available emails: {sorted(user_map.keys())}"
)
admin_user_id = user_map[SLACK_ADMIN_EMAIL]
(
public_channel,
@@ -27,5 +37,16 @@ def slack_test_setup() -> Generator[tuple[ChannelType, ChannelType], None, None]
yield public_channel, private_channel
# This part will always run after the test, even if it fails
SlackManager.cleanup_after_test(slack_client=slack_client, test_id=run_id)
@pytest.fixture()
def slack_test_setup() -> Generator[tuple[ChannelType, ChannelType], None, None]:
yield from _provision_slack_channels(os.environ["SLACK_BOT_TOKEN"])
@pytest.fixture()
def slack_perm_sync_test_setup() -> (
Generator[tuple[ChannelType, ChannelType], None, None]
):
yield from _provision_slack_channels(os.environ["SLACK_BOT_TOKEN_TEST_SPACE"])

View File

@@ -16,7 +16,6 @@ from uuid import uuid4
from slack_sdk import WebClient
from slack_sdk.errors import SlackApiError
from onyx.connectors.slack.connector import default_msg_filter
from onyx.connectors.slack.connector import get_channel_messages
from onyx.connectors.slack.models import ChannelType
from onyx.connectors.slack.utils import make_paginated_slack_api_call
@@ -113,9 +112,6 @@ def _delete_slack_conversation_messages(
channel_id = _get_slack_channel_id(channel)
for message_batch in get_channel_messages(slack_client, channel):
for message in message_batch:
if default_msg_filter(message):
continue
if message_to_delete and message.get("text") != message_to_delete:
continue
print(" removing message: ", message.get("text"))

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