Merge remote-tracking branch 'origin/main' into feat/ee-admin-dsl

This commit is contained in:
zhangx1n
2026-03-25 12:57:33 +08:00
1564 changed files with 83983 additions and 24857 deletions

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@@ -63,7 +63,8 @@ pnpm analyze-component <path> --review
### File Naming
- Test files: `ComponentName.spec.tsx` (same directory as component)
- Test files: `ComponentName.spec.tsx` inside a same-level `__tests__/` directory
- Placement rule: Component, hook, and utility tests must live in a sibling `__tests__/` folder at the same level as the source under test. For example, `foo/index.tsx` maps to `foo/__tests__/index.spec.tsx`, and `foo/bar.ts` maps to `foo/__tests__/bar.spec.ts`.
- Integration tests: `web/__tests__/` directory
## Test Structure Template

View File

@@ -41,7 +41,7 @@ import userEvent from '@testing-library/user-event'
// Router (if component uses useRouter, usePathname, useSearchParams)
// WHY: Isolates tests from Next.js routing, enables testing navigation behavior
// const mockPush = vi.fn()
// vi.mock('next/navigation', () => ({
// vi.mock('@/next/navigation', () => ({
// useRouter: () => ({ push: mockPush }),
// usePathname: () => '/test-path',
// }))

13
.gemini/config.yaml Normal file
View File

@@ -0,0 +1,13 @@
have_fun: false
memory_config:
disabled: false
code_review:
disable: true
comment_severity_threshold: MEDIUM
max_review_comments: -1
pull_request_opened:
help: false
summary: false
code_review: false
include_drafts: false
ignore_patterns: []

View File

@@ -4,10 +4,9 @@ runs:
using: composite
steps:
- name: Setup Vite+
uses: voidzero-dev/setup-vp@b5d848f5a62488f3d3d920f8aa6ac318a60c5f07 # v1
uses: voidzero-dev/setup-vp@20553a7a7429c429a74894104a2835d7fed28a72 # v1.3.0
with:
node-version-file: "./web/.nvmrc"
working-directory: web
node-version-file: .nvmrc
cache: true
run-install: |
- cwd: ./web
args: ['--frozen-lockfile']
run-install: true

View File

@@ -12,7 +12,7 @@ jobs:
anti-slop:
runs-on: ubuntu-latest
steps:
- uses: peakoss/anti-slop@v0
- uses: peakoss/anti-slop@85daca1880e9e1af197fc06ea03349daf08f4202 # v0.2.1
with:
github-token: ${{ secrets.GITHUB_TOKEN }}
close-pr: false

View File

@@ -2,6 +2,12 @@ name: Run Pytest
on:
workflow_call:
secrets:
CODECOV_TOKEN:
required: false
permissions:
contents: read
concurrency:
group: api-tests-${{ github.head_ref || github.run_id }}
@@ -11,6 +17,8 @@ jobs:
test:
name: API Tests
runs-on: ubuntu-latest
env:
CODECOV_TOKEN: ${{ secrets.CODECOV_TOKEN }}
defaults:
run:
shell: bash
@@ -24,10 +32,11 @@ jobs:
- name: Checkout code
uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6.0.2
with:
fetch-depth: 0
persist-credentials: false
- name: Setup UV and Python
uses: astral-sh/setup-uv@e06108dd0aef18192324c70427afc47652e63a82 # v7.5.0
uses: astral-sh/setup-uv@37802adc94f370d6bfd71619e3f0bf239e1f3b78 # v7.6.0
with:
enable-cache: true
python-version: ${{ matrix.python-version }}
@@ -79,21 +88,12 @@ jobs:
api/tests/test_containers_integration_tests \
api/tests/unit_tests
- name: Coverage Summary
run: |
set -x
# Extract coverage percentage and create a summary
TOTAL_COVERAGE=$(python -c 'import json; print(json.load(open("coverage.json"))["totals"]["percent_covered_display"])')
# Create a detailed coverage summary
echo "### Test Coverage Summary :test_tube:" >> $GITHUB_STEP_SUMMARY
echo "Total Coverage: ${TOTAL_COVERAGE}%" >> $GITHUB_STEP_SUMMARY
{
echo ""
echo "<details><summary>File-level coverage (click to expand)</summary>"
echo ""
echo '```'
uv run --project api coverage report -m
echo '```'
echo "</details>"
} >> $GITHUB_STEP_SUMMARY
- name: Report coverage
if: ${{ env.CODECOV_TOKEN != '' && matrix.python-version == '3.12' }}
uses: codecov/codecov-action@1af58845a975a7985b0beb0cbe6fbbb71a41dbad # v5.5.3
with:
files: ./coverage.xml
disable_search: true
flags: api
env:
CODECOV_TOKEN: ${{ env.CODECOV_TOKEN }}

View File

@@ -39,7 +39,7 @@ jobs:
with:
python-version: "3.11"
- uses: astral-sh/setup-uv@e06108dd0aef18192324c70427afc47652e63a82 # v7.5.0
- uses: astral-sh/setup-uv@37802adc94f370d6bfd71619e3f0bf239e1f3b78 # v7.6.0
- name: Generate Docker Compose
if: steps.docker-compose-changes.outputs.any_changed == 'true'
@@ -94,11 +94,6 @@ jobs:
find . -name "*.py" -type f -exec sed -i.bak -E 's/"([^"]+)" \| None/Optional["\1"]/g; s/'"'"'([^'"'"']+)'"'"' \| None/Optional['"'"'\1'"'"']/g' {} \;
find . -name "*.py.bak" -type f -delete
# mdformat breaks YAML front matter in markdown files. Add --exclude for directories containing YAML front matter.
- name: mdformat
run: |
uvx --python 3.13 mdformat . --exclude ".agents/skills/**"
- name: Setup web environment
if: steps.web-changes.outputs.any_changed == 'true'
uses: ./.github/actions/setup-web

View File

@@ -19,7 +19,7 @@ jobs:
persist-credentials: false
- name: Setup UV and Python
uses: astral-sh/setup-uv@e06108dd0aef18192324c70427afc47652e63a82 # v7.5.0
uses: astral-sh/setup-uv@37802adc94f370d6bfd71619e3f0bf239e1f3b78 # v7.6.0
with:
enable-cache: true
python-version: "3.12"
@@ -69,7 +69,7 @@ jobs:
persist-credentials: false
- name: Setup UV and Python
uses: astral-sh/setup-uv@e06108dd0aef18192324c70427afc47652e63a82 # v7.5.0
uses: astral-sh/setup-uv@37802adc94f370d6bfd71619e3f0bf239e1f3b78 # v7.6.0
with:
enable-cache: true
python-version: "3.12"

View File

@@ -56,16 +56,14 @@ jobs:
needs: check-changes
if: needs.check-changes.outputs.api-changed == 'true'
uses: ./.github/workflows/api-tests.yml
secrets: inherit
web-tests:
name: Web Tests
needs: check-changes
if: needs.check-changes.outputs.web-changed == 'true'
uses: ./.github/workflows/web-tests.yml
with:
base_sha: ${{ github.event.before || github.event.pull_request.base.sha }}
diff_range_mode: ${{ github.event.before && 'exact' || 'merge-base' }}
head_sha: ${{ github.event.after || github.event.pull_request.head.sha || github.sha }}
secrets: inherit
style-check:
name: Style Check

View File

@@ -22,7 +22,7 @@ jobs:
fetch-depth: 0
- name: Setup Python & UV
uses: astral-sh/setup-uv@e06108dd0aef18192324c70427afc47652e63a82 # v7.5.0
uses: astral-sh/setup-uv@37802adc94f370d6bfd71619e3f0bf239e1f3b78 # v7.6.0
with:
enable-cache: true

View File

@@ -33,7 +33,7 @@ jobs:
- name: Setup UV and Python
if: steps.changed-files.outputs.any_changed == 'true'
uses: astral-sh/setup-uv@e06108dd0aef18192324c70427afc47652e63a82 # v7.5.0
uses: astral-sh/setup-uv@37802adc94f370d6bfd71619e3f0bf239e1f3b78 # v7.6.0
with:
enable-cache: false
python-version: "3.12"
@@ -84,20 +84,20 @@ jobs:
if: steps.changed-files.outputs.any_changed == 'true'
uses: ./.github/actions/setup-web
- name: Restore ESLint cache
if: steps.changed-files.outputs.any_changed == 'true'
id: eslint-cache-restore
uses: actions/cache/restore@668228422ae6a00e4ad889ee87cd7109ec5666a7 # v5.0.4
with:
path: web/.eslintcache
key: ${{ runner.os }}-web-eslint-${{ hashFiles('web/package.json', 'web/pnpm-lock.yaml', 'web/eslint.config.mjs', 'web/eslint.constants.mjs', 'web/plugins/eslint/**') }}-${{ github.sha }}
restore-keys: |
${{ runner.os }}-web-eslint-${{ hashFiles('web/package.json', 'web/pnpm-lock.yaml', 'web/eslint.config.mjs', 'web/eslint.constants.mjs', 'web/plugins/eslint/**') }}-
- name: Web style check
if: steps.changed-files.outputs.any_changed == 'true'
working-directory: ./web
run: |
vp run lint:ci
# pnpm run lint:report
# continue-on-error: true
# - name: Annotate Code
# if: steps.changed-files.outputs.any_changed == 'true' && github.event_name == 'pull_request'
# uses: DerLev/eslint-annotations@51347b3a0abfb503fc8734d5ae31c4b151297fae
# with:
# eslint-report: web/eslint_report.json
# github-token: ${{ secrets.GITHUB_TOKEN }}
run: vp run lint:ci
- name: Web tsslint
if: steps.changed-files.outputs.any_changed == 'true'
@@ -114,6 +114,13 @@ jobs:
working-directory: ./web
run: vp run knip
- name: Save ESLint cache
if: steps.changed-files.outputs.any_changed == 'true' && success() && steps.eslint-cache-restore.outputs.cache-hit != 'true'
uses: actions/cache/save@668228422ae6a00e4ad889ee87cd7109ec5666a7 # v5.0.4
with:
path: web/.eslintcache
key: ${{ steps.eslint-cache-restore.outputs.cache-primary-key }}
superlinter:
name: SuperLinter
runs-on: ubuntu-latest

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@@ -120,7 +120,7 @@ jobs:
- name: Run Claude Code for Translation Sync
if: steps.detect_changes.outputs.CHANGED_FILES != ''
uses: anthropics/claude-code-action@cd77b50d2b0808657f8e6774085c8bf54484351c # v1.0.72
uses: anthropics/claude-code-action@ff9acae5886d41a99ed4ec14b7dc147d55834722 # v1.0.77
with:
anthropic_api_key: ${{ secrets.ANTHROPIC_API_KEY }}
github_token: ${{ secrets.GITHUB_TOKEN }}

View File

@@ -31,7 +31,7 @@ jobs:
remove_tool_cache: true
- name: Setup UV and Python
uses: astral-sh/setup-uv@e06108dd0aef18192324c70427afc47652e63a82 # v7.5.0
uses: astral-sh/setup-uv@37802adc94f370d6bfd71619e3f0bf239e1f3b78 # v7.6.0
with:
enable-cache: true
python-version: ${{ matrix.python-version }}

View File

@@ -2,16 +2,9 @@ name: Web Tests
on:
workflow_call:
inputs:
base_sha:
secrets:
CODECOV_TOKEN:
required: false
type: string
diff_range_mode:
required: false
type: string
head_sha:
required: false
type: string
permissions:
contents: read
@@ -63,7 +56,7 @@ jobs:
needs: [test]
runs-on: ubuntu-latest
env:
VITEST_COVERAGE_SCOPE: app-components
CODECOV_TOKEN: ${{ secrets.CODECOV_TOKEN }}
defaults:
run:
shell: bash
@@ -87,52 +80,16 @@ jobs:
merge-multiple: true
- name: Merge reports
run: vp test --merge-reports --reporter=json --reporter=agent --coverage
run: vp test --merge-reports --coverage --silent=passed-only
- name: Report app/components baseline coverage
run: node ./scripts/report-components-coverage-baseline.mjs
- name: Report app/components test touch
env:
BASE_SHA: ${{ inputs.base_sha }}
DIFF_RANGE_MODE: ${{ inputs.diff_range_mode }}
HEAD_SHA: ${{ inputs.head_sha }}
run: node ./scripts/report-components-test-touch.mjs
- name: Check app/components pure diff coverage
env:
BASE_SHA: ${{ inputs.base_sha }}
DIFF_RANGE_MODE: ${{ inputs.diff_range_mode }}
HEAD_SHA: ${{ inputs.head_sha }}
run: node ./scripts/check-components-diff-coverage.mjs
- name: Check Coverage Summary
if: always()
id: coverage-summary
run: |
set -eo pipefail
COVERAGE_FILE="coverage/coverage-final.json"
COVERAGE_SUMMARY_FILE="coverage/coverage-summary.json"
if [ -f "$COVERAGE_FILE" ] || [ -f "$COVERAGE_SUMMARY_FILE" ]; then
echo "has_coverage=true" >> "$GITHUB_OUTPUT"
exit 0
fi
echo "has_coverage=false" >> "$GITHUB_OUTPUT"
echo "### 🚨 app/components Diff Coverage" >> "$GITHUB_STEP_SUMMARY"
echo "" >> "$GITHUB_STEP_SUMMARY"
echo "Coverage artifacts not found. Ensure Vitest merge reports ran with coverage enabled." >> "$GITHUB_STEP_SUMMARY"
- name: Upload Coverage Artifact
if: steps.coverage-summary.outputs.has_coverage == 'true'
uses: actions/upload-artifact@bbbca2ddaa5d8feaa63e36b76fdaad77386f024f # v7.0.0
- name: Report coverage
if: ${{ env.CODECOV_TOKEN != '' }}
uses: codecov/codecov-action@1af58845a975a7985b0beb0cbe6fbbb71a41dbad # v5.5.3
with:
name: web-coverage-report
path: web/coverage
retention-days: 30
if-no-files-found: error
directory: web/coverage
flags: web
env:
CODECOV_TOKEN: ${{ env.CODECOV_TOKEN }}
web-build:
name: Web Build

View File

@@ -97,3 +97,8 @@ Feel free to reach out if you encounter any issues during the setup process.
## Getting Help
If you ever get stuck or get a burning question while contributing, simply shoot your queries our way via the related GitHub issue, or hop onto our [Discord](https://discord.gg/8Tpq4AcN9c) for a quick chat.
## Automated Agent Contributions
> [!NOTE]
> If you are an automated agent just add 🤖🤖🤖 to the end of the PR title to opt-in.

View File

@@ -353,6 +353,9 @@ BAIDU_VECTOR_DB_SHARD=1
BAIDU_VECTOR_DB_REPLICAS=3
BAIDU_VECTOR_DB_INVERTED_INDEX_ANALYZER=DEFAULT_ANALYZER
BAIDU_VECTOR_DB_INVERTED_INDEX_PARSER_MODE=COARSE_MODE
BAIDU_VECTOR_DB_AUTO_BUILD_ROW_COUNT_INCREMENT=500
BAIDU_VECTOR_DB_AUTO_BUILD_ROW_COUNT_INCREMENT_RATIO=0.05
BAIDU_VECTOR_DB_REBUILD_INDEX_TIMEOUT_IN_SECONDS=300
# Upstash configuration
UPSTASH_VECTOR_URL=your-server-url

View File

@@ -1,9 +1,11 @@
import json
import logging
from typing import Any
from typing import Any, cast
import click
from pydantic import TypeAdapter
from sqlalchemy import delete, select
from sqlalchemy.engine import CursorResult
from configs import dify_config
from core.helper import encrypter
@@ -48,14 +50,15 @@ def setup_system_tool_oauth_client(provider, client_params):
click.echo(click.style(f"Error parsing client params: {str(e)}", fg="red"))
return
deleted_count = (
db.session.query(ToolOAuthSystemClient)
.filter_by(
provider=provider_name,
plugin_id=plugin_id,
)
.delete()
)
deleted_count = cast(
CursorResult,
db.session.execute(
delete(ToolOAuthSystemClient).where(
ToolOAuthSystemClient.provider == provider_name,
ToolOAuthSystemClient.plugin_id == plugin_id,
)
),
).rowcount
if deleted_count > 0:
click.echo(click.style(f"Deleted {deleted_count} existing oauth client params.", fg="yellow"))
@@ -97,14 +100,15 @@ def setup_system_trigger_oauth_client(provider, client_params):
click.echo(click.style(f"Error parsing client params: {str(e)}", fg="red"))
return
deleted_count = (
db.session.query(TriggerOAuthSystemClient)
.filter_by(
provider=provider_name,
plugin_id=plugin_id,
)
.delete()
)
deleted_count = cast(
CursorResult,
db.session.execute(
delete(TriggerOAuthSystemClient).where(
TriggerOAuthSystemClient.provider == provider_name,
TriggerOAuthSystemClient.plugin_id == plugin_id,
)
),
).rowcount
if deleted_count > 0:
click.echo(click.style(f"Deleted {deleted_count} existing oauth client params.", fg="yellow"))
@@ -139,14 +143,15 @@ def setup_datasource_oauth_client(provider, client_params):
return
click.echo(click.style(f"Ready to delete existing oauth client params: {provider_name}", fg="yellow"))
deleted_count = (
db.session.query(DatasourceOauthParamConfig)
.filter_by(
provider=provider_name,
plugin_id=plugin_id,
)
.delete()
)
deleted_count = cast(
CursorResult,
db.session.execute(
delete(DatasourceOauthParamConfig).where(
DatasourceOauthParamConfig.provider == provider_name,
DatasourceOauthParamConfig.plugin_id == plugin_id,
)
),
).rowcount
if deleted_count > 0:
click.echo(click.style(f"Deleted {deleted_count} existing oauth client params.", fg="yellow"))
@@ -192,7 +197,9 @@ def transform_datasource_credentials(environment: str):
# deal notion credentials
deal_notion_count = 0
notion_credentials = db.session.query(DataSourceOauthBinding).filter_by(provider="notion").all()
notion_credentials = db.session.scalars(
select(DataSourceOauthBinding).where(DataSourceOauthBinding.provider == "notion")
).all()
if notion_credentials:
notion_credentials_tenant_mapping: dict[str, list[DataSourceOauthBinding]] = {}
for notion_credential in notion_credentials:
@@ -201,7 +208,7 @@ def transform_datasource_credentials(environment: str):
notion_credentials_tenant_mapping[tenant_id] = []
notion_credentials_tenant_mapping[tenant_id].append(notion_credential)
for tenant_id, notion_tenant_credentials in notion_credentials_tenant_mapping.items():
tenant = db.session.query(Tenant).filter_by(id=tenant_id).first()
tenant = db.session.scalar(select(Tenant).where(Tenant.id == tenant_id))
if not tenant:
continue
try:
@@ -250,7 +257,9 @@ def transform_datasource_credentials(environment: str):
db.session.commit()
# deal firecrawl credentials
deal_firecrawl_count = 0
firecrawl_credentials = db.session.query(DataSourceApiKeyAuthBinding).filter_by(provider="firecrawl").all()
firecrawl_credentials = db.session.scalars(
select(DataSourceApiKeyAuthBinding).where(DataSourceApiKeyAuthBinding.provider == "firecrawl")
).all()
if firecrawl_credentials:
firecrawl_credentials_tenant_mapping: dict[str, list[DataSourceApiKeyAuthBinding]] = {}
for firecrawl_credential in firecrawl_credentials:
@@ -259,7 +268,7 @@ def transform_datasource_credentials(environment: str):
firecrawl_credentials_tenant_mapping[tenant_id] = []
firecrawl_credentials_tenant_mapping[tenant_id].append(firecrawl_credential)
for tenant_id, firecrawl_tenant_credentials in firecrawl_credentials_tenant_mapping.items():
tenant = db.session.query(Tenant).filter_by(id=tenant_id).first()
tenant = db.session.scalar(select(Tenant).where(Tenant.id == tenant_id))
if not tenant:
continue
try:
@@ -312,7 +321,9 @@ def transform_datasource_credentials(environment: str):
db.session.commit()
# deal jina credentials
deal_jina_count = 0
jina_credentials = db.session.query(DataSourceApiKeyAuthBinding).filter_by(provider="jinareader").all()
jina_credentials = db.session.scalars(
select(DataSourceApiKeyAuthBinding).where(DataSourceApiKeyAuthBinding.provider == "jinareader")
).all()
if jina_credentials:
jina_credentials_tenant_mapping: dict[str, list[DataSourceApiKeyAuthBinding]] = {}
for jina_credential in jina_credentials:
@@ -321,7 +332,7 @@ def transform_datasource_credentials(environment: str):
jina_credentials_tenant_mapping[tenant_id] = []
jina_credentials_tenant_mapping[tenant_id].append(jina_credential)
for tenant_id, jina_tenant_credentials in jina_credentials_tenant_mapping.items():
tenant = db.session.query(Tenant).filter_by(id=tenant_id).first()
tenant = db.session.scalar(select(Tenant).where(Tenant.id == tenant_id))
if not tenant:
continue
try:

View File

@@ -1,7 +1,10 @@
import json
from typing import cast
import click
import sqlalchemy as sa
from sqlalchemy import update
from sqlalchemy.engine import CursorResult
from configs import dify_config
from extensions.ext_database import db
@@ -740,14 +743,17 @@ def migrate_oss(
else:
try:
source_storage_type = StorageType.LOCAL if is_source_local else StorageType.OPENDAL
updated = (
db.session.query(UploadFile)
.where(
UploadFile.storage_type == source_storage_type,
UploadFile.key.in_(copied_upload_file_keys),
)
.update({UploadFile.storage_type: dify_config.STORAGE_TYPE}, synchronize_session=False)
)
updated = cast(
CursorResult,
db.session.execute(
update(UploadFile)
.where(
UploadFile.storage_type == source_storage_type,
UploadFile.key.in_(copied_upload_file_keys),
)
.values(storage_type=dify_config.STORAGE_TYPE)
),
).rowcount
db.session.commit()
click.echo(click.style(f"Updated storage_type for {updated} upload_files records.", fg="green"))
except Exception as e:

View File

@@ -2,6 +2,7 @@ import logging
import click
import sqlalchemy as sa
from sqlalchemy import delete, select, update
from sqlalchemy.orm import sessionmaker
from configs import dify_config
@@ -41,7 +42,7 @@ def reset_encrypt_key_pair():
click.echo(click.style("This command is only for SELF_HOSTED installations.", fg="red"))
return
with sessionmaker(db.engine, expire_on_commit=False).begin() as session:
tenants = session.query(Tenant).all()
tenants = session.scalars(select(Tenant)).all()
for tenant in tenants:
if not tenant:
click.echo(click.style("No workspaces found. Run /install first.", fg="red"))
@@ -49,8 +50,8 @@ def reset_encrypt_key_pair():
tenant.encrypt_public_key = generate_key_pair(tenant.id)
session.query(Provider).where(Provider.provider_type == "custom", Provider.tenant_id == tenant.id).delete()
session.query(ProviderModel).where(ProviderModel.tenant_id == tenant.id).delete()
session.execute(delete(Provider).where(Provider.provider_type == "custom", Provider.tenant_id == tenant.id))
session.execute(delete(ProviderModel).where(ProviderModel.tenant_id == tenant.id))
click.echo(
click.style(
@@ -93,7 +94,7 @@ def convert_to_agent_apps():
app_id = str(i.id)
if app_id not in proceeded_app_ids:
proceeded_app_ids.append(app_id)
app = db.session.query(App).where(App.id == app_id).first()
app = db.session.scalar(select(App).where(App.id == app_id))
if app is not None:
apps.append(app)
@@ -108,8 +109,8 @@ def convert_to_agent_apps():
db.session.commit()
# update conversation mode to agent
db.session.query(Conversation).where(Conversation.app_id == app.id).update(
{Conversation.mode: AppMode.AGENT_CHAT}
db.session.execute(
update(Conversation).where(Conversation.app_id == app.id).values(mode=AppMode.AGENT_CHAT)
)
db.session.commit()
@@ -177,7 +178,7 @@ where sites.id is null limit 1000"""
continue
try:
app = db.session.query(App).where(App.id == app_id).first()
app = db.session.scalar(select(App).where(App.id == app_id))
if not app:
logger.info("App %s not found", app_id)
continue

View File

@@ -10,6 +10,7 @@ from configs import dify_config
from core.rag.datasource.vdb.vector_factory import Vector
from core.rag.datasource.vdb.vector_type import VectorType
from core.rag.index_processor.constant.built_in_field import BuiltInField
from core.rag.index_processor.constant.index_type import IndexStructureType, IndexTechniqueType
from core.rag.models.document import ChildDocument, Document
from extensions.ext_database import db
from models.dataset import Dataset, DatasetCollectionBinding, DatasetMetadata, DatasetMetadataBinding, DocumentSegment
@@ -41,14 +42,13 @@ def migrate_annotation_vector_database():
# get apps info
per_page = 50
with sessionmaker(db.engine, expire_on_commit=False).begin() as session:
apps = (
session.query(App)
apps = session.scalars(
select(App)
.where(App.status == "normal")
.order_by(App.created_at.desc())
.limit(per_page)
.offset((page - 1) * per_page)
.all()
)
).all()
if not apps:
break
except SQLAlchemyError:
@@ -63,8 +63,8 @@ def migrate_annotation_vector_database():
try:
click.echo(f"Creating app annotation index: {app.id}")
with sessionmaker(db.engine, expire_on_commit=False).begin() as session:
app_annotation_setting = (
session.query(AppAnnotationSetting).where(AppAnnotationSetting.app_id == app.id).first()
app_annotation_setting = session.scalar(
select(AppAnnotationSetting).where(AppAnnotationSetting.app_id == app.id).limit(1)
)
if not app_annotation_setting:
@@ -72,10 +72,10 @@ def migrate_annotation_vector_database():
click.echo(f"App annotation setting disabled: {app.id}")
continue
# get dataset_collection_binding info
dataset_collection_binding = (
session.query(DatasetCollectionBinding)
.where(DatasetCollectionBinding.id == app_annotation_setting.collection_binding_id)
.first()
dataset_collection_binding = session.scalar(
select(DatasetCollectionBinding).where(
DatasetCollectionBinding.id == app_annotation_setting.collection_binding_id
)
)
if not dataset_collection_binding:
click.echo(f"App annotation collection binding not found: {app.id}")
@@ -86,7 +86,7 @@ def migrate_annotation_vector_database():
dataset = Dataset(
id=app.id,
tenant_id=app.tenant_id,
indexing_technique="high_quality",
indexing_technique=IndexTechniqueType.HIGH_QUALITY,
embedding_model_provider=dataset_collection_binding.provider_name,
embedding_model=dataset_collection_binding.model_name,
collection_binding_id=dataset_collection_binding.id,
@@ -178,7 +178,9 @@ def migrate_knowledge_vector_database():
while True:
try:
stmt = (
select(Dataset).where(Dataset.indexing_technique == "high_quality").order_by(Dataset.created_at.desc())
select(Dataset)
.where(Dataset.indexing_technique == IndexTechniqueType.HIGH_QUALITY)
.order_by(Dataset.created_at.desc())
)
datasets = db.paginate(select=stmt, page=page, per_page=50, max_per_page=50, error_out=False)
@@ -205,11 +207,11 @@ def migrate_knowledge_vector_database():
collection_name = Dataset.gen_collection_name_by_id(dataset_id)
elif vector_type == VectorType.QDRANT:
if dataset.collection_binding_id:
dataset_collection_binding = (
db.session.query(DatasetCollectionBinding)
.where(DatasetCollectionBinding.id == dataset.collection_binding_id)
.one_or_none()
)
dataset_collection_binding = db.session.execute(
select(DatasetCollectionBinding).where(
DatasetCollectionBinding.id == dataset.collection_binding_id
)
).scalar_one_or_none()
if dataset_collection_binding:
collection_name = dataset_collection_binding.collection_name
else:
@@ -270,7 +272,7 @@ def migrate_knowledge_vector_database():
"dataset_id": segment.dataset_id,
},
)
if dataset_document.doc_form == "hierarchical_model":
if dataset_document.doc_form == IndexStructureType.PARENT_CHILD_INDEX:
child_chunks = segment.get_child_chunks()
if child_chunks:
child_documents = []
@@ -334,7 +336,7 @@ def add_qdrant_index(field: str):
create_count = 0
try:
bindings = db.session.query(DatasetCollectionBinding).all()
bindings = db.session.scalars(select(DatasetCollectionBinding)).all()
if not bindings:
click.echo(click.style("No dataset collection bindings found.", fg="red"))
return
@@ -421,10 +423,10 @@ def old_metadata_migration():
if field.value == key:
break
else:
dataset_metadata = (
db.session.query(DatasetMetadata)
dataset_metadata = db.session.scalar(
select(DatasetMetadata)
.where(DatasetMetadata.dataset_id == document.dataset_id, DatasetMetadata.name == key)
.first()
.limit(1)
)
if not dataset_metadata:
dataset_metadata = DatasetMetadata(
@@ -436,7 +438,7 @@ def old_metadata_migration():
)
db.session.add(dataset_metadata)
db.session.flush()
dataset_metadata_binding = DatasetMetadataBinding(
dataset_metadata_binding: DatasetMetadataBinding | None = DatasetMetadataBinding(
tenant_id=document.tenant_id,
dataset_id=document.dataset_id,
metadata_id=dataset_metadata.id,
@@ -445,14 +447,14 @@ def old_metadata_migration():
)
db.session.add(dataset_metadata_binding)
else:
dataset_metadata_binding = (
db.session.query(DatasetMetadataBinding) # type: ignore
dataset_metadata_binding = db.session.scalar(
select(DatasetMetadataBinding)
.where(
DatasetMetadataBinding.dataset_id == document.dataset_id,
DatasetMetadataBinding.document_id == document.id,
DatasetMetadataBinding.metadata_id == dataset_metadata.id,
)
.first()
.limit(1)
)
if not dataset_metadata_binding:
dataset_metadata_binding = DatasetMetadataBinding(

View File

@@ -51,3 +51,18 @@ class BaiduVectorDBConfig(BaseSettings):
description="Parser mode for inverted index in Baidu Vector Database (default is COARSE_MODE)",
default="COARSE_MODE",
)
BAIDU_VECTOR_DB_AUTO_BUILD_ROW_COUNT_INCREMENT: int = Field(
description="Auto build row count increment threshold (default is 500)",
default=500,
)
BAIDU_VECTOR_DB_AUTO_BUILD_ROW_COUNT_INCREMENT_RATIO: float = Field(
description="Auto build row count increment ratio threshold (default is 0.05)",
default=0.05,
)
BAIDU_VECTOR_DB_REBUILD_INDEX_TIMEOUT_IN_SECONDS: int = Field(
description="Timeout in seconds for rebuilding the index in Baidu Vector Database (default is 3600 seconds)",
default=300,
)

View File

@@ -1,7 +1,7 @@
import flask_restx
from flask_restx import Resource, fields, marshal_with
from flask_restx._http import HTTPStatus
from sqlalchemy import select
from sqlalchemy import delete, func, select
from sqlalchemy.orm import Session
from werkzeug.exceptions import Forbidden
@@ -9,6 +9,7 @@ from extensions.ext_database import db
from libs.helper import TimestampField
from libs.login import current_account_with_tenant, login_required
from models.dataset import Dataset
from models.enums import ApiTokenType
from models.model import ApiToken, App
from services.api_token_service import ApiTokenCache
@@ -33,16 +34,10 @@ api_key_list_model = console_ns.model(
def _get_resource(resource_id, tenant_id, resource_model):
if resource_model == App:
with Session(db.engine) as session:
resource = session.execute(
select(resource_model).filter_by(id=resource_id, tenant_id=tenant_id)
).scalar_one_or_none()
else:
with Session(db.engine) as session:
resource = session.execute(
select(resource_model).filter_by(id=resource_id, tenant_id=tenant_id)
).scalar_one_or_none()
with Session(db.engine) as session:
resource = session.execute(
select(resource_model).filter_by(id=resource_id, tenant_id=tenant_id)
).scalar_one_or_none()
if resource is None:
flask_restx.abort(HTTPStatus.NOT_FOUND, message=f"{resource_model.__name__} not found.")
@@ -53,7 +48,7 @@ def _get_resource(resource_id, tenant_id, resource_model):
class BaseApiKeyListResource(Resource):
method_decorators = [account_initialization_required, login_required, setup_required]
resource_type: str | None = None
resource_type: ApiTokenType | None = None
resource_model: type | None = None
resource_id_field: str | None = None
token_prefix: str | None = None
@@ -80,10 +75,13 @@ class BaseApiKeyListResource(Resource):
resource_id = str(resource_id)
_, current_tenant_id = current_account_with_tenant()
_get_resource(resource_id, current_tenant_id, self.resource_model)
current_key_count = (
db.session.query(ApiToken)
.where(ApiToken.type == self.resource_type, getattr(ApiToken, self.resource_id_field) == resource_id)
.count()
current_key_count: int = (
db.session.scalar(
select(func.count(ApiToken.id)).where(
ApiToken.type == self.resource_type, getattr(ApiToken, self.resource_id_field) == resource_id
)
)
or 0
)
if current_key_count >= self.max_keys:
@@ -94,6 +92,7 @@ class BaseApiKeyListResource(Resource):
)
key = ApiToken.generate_api_key(self.token_prefix or "", 24)
assert self.resource_type is not None, "resource_type must be set"
api_token = ApiToken()
setattr(api_token, self.resource_id_field, resource_id)
api_token.tenant_id = current_tenant_id
@@ -107,7 +106,7 @@ class BaseApiKeyListResource(Resource):
class BaseApiKeyResource(Resource):
method_decorators = [account_initialization_required, login_required, setup_required]
resource_type: str | None = None
resource_type: ApiTokenType | None = None
resource_model: type | None = None
resource_id_field: str | None = None
@@ -119,14 +118,14 @@ class BaseApiKeyResource(Resource):
if not current_user.is_admin_or_owner:
raise Forbidden()
key = (
db.session.query(ApiToken)
key = db.session.scalar(
select(ApiToken)
.where(
getattr(ApiToken, self.resource_id_field) == resource_id,
ApiToken.type == self.resource_type,
ApiToken.id == api_key_id,
)
.first()
.limit(1)
)
if key is None:
@@ -137,7 +136,7 @@ class BaseApiKeyResource(Resource):
assert key is not None # nosec - for type checker only
ApiTokenCache.delete(key.token, key.type)
db.session.query(ApiToken).where(ApiToken.id == api_key_id).delete()
db.session.execute(delete(ApiToken).where(ApiToken.id == api_key_id))
db.session.commit()
return {"result": "success"}, 204
@@ -162,7 +161,7 @@ class AppApiKeyListResource(BaseApiKeyListResource):
"""Create a new API key for an app"""
return super().post(resource_id)
resource_type = "app"
resource_type = ApiTokenType.APP
resource_model = App
resource_id_field = "app_id"
token_prefix = "app-"
@@ -178,7 +177,7 @@ class AppApiKeyResource(BaseApiKeyResource):
"""Delete an API key for an app"""
return super().delete(resource_id, api_key_id)
resource_type = "app"
resource_type = ApiTokenType.APP
resource_model = App
resource_id_field = "app_id"
@@ -202,7 +201,7 @@ class DatasetApiKeyListResource(BaseApiKeyListResource):
"""Create a new API key for a dataset"""
return super().post(resource_id)
resource_type = "dataset"
resource_type = ApiTokenType.DATASET
resource_model = Dataset
resource_id_field = "dataset_id"
token_prefix = "ds-"
@@ -218,6 +217,6 @@ class DatasetApiKeyResource(BaseApiKeyResource):
"""Delete an API key for a dataset"""
return super().delete(resource_id, api_key_id)
resource_type = "dataset"
resource_type = ApiTokenType.DATASET
resource_model = Dataset
resource_id_field = "dataset_id"

View File

@@ -95,7 +95,7 @@ class CreateAppPayload(BaseModel):
name: str = Field(..., min_length=1, description="App name")
description: str | None = Field(default=None, description="App description (max 400 chars)", max_length=400)
mode: Literal["chat", "agent-chat", "advanced-chat", "workflow", "completion"] = Field(..., description="App mode")
icon_type: str | None = Field(default=None, description="Icon type")
icon_type: IconType | None = Field(default=None, description="Icon type")
icon: str | None = Field(default=None, description="Icon")
icon_background: str | None = Field(default=None, description="Icon background color")
@@ -103,7 +103,7 @@ class CreateAppPayload(BaseModel):
class UpdateAppPayload(BaseModel):
name: str = Field(..., min_length=1, description="App name")
description: str | None = Field(default=None, description="App description (max 400 chars)", max_length=400)
icon_type: str | None = Field(default=None, description="Icon type")
icon_type: IconType | None = Field(default=None, description="Icon type")
icon: str | None = Field(default=None, description="Icon")
icon_background: str | None = Field(default=None, description="Icon background color")
use_icon_as_answer_icon: bool | None = Field(default=None, description="Use icon as answer icon")
@@ -113,7 +113,7 @@ class UpdateAppPayload(BaseModel):
class CopyAppPayload(BaseModel):
name: str | None = Field(default=None, description="Name for the copied app")
description: str | None = Field(default=None, description="Description for the copied app", max_length=400)
icon_type: str | None = Field(default=None, description="Icon type")
icon_type: IconType | None = Field(default=None, description="Icon type")
icon: str | None = Field(default=None, description="Icon")
icon_background: str | None = Field(default=None, description="Icon background color")
@@ -594,7 +594,7 @@ class AppApi(Resource):
args_dict: AppService.ArgsDict = {
"name": args.name,
"description": args.description or "",
"icon_type": args.icon_type or "",
"icon_type": args.icon_type,
"icon": args.icon or "",
"icon_background": args.icon_background or "",
"use_icon_as_answer_icon": args.use_icon_as_answer_icon or False,

View File

@@ -5,7 +5,7 @@ from flask import abort, request
from flask_restx import Resource, fields, marshal_with
from pydantic import BaseModel, Field, field_validator
from sqlalchemy import func, or_
from sqlalchemy.orm import joinedload
from sqlalchemy.orm import selectinload
from werkzeug.exceptions import NotFound
from controllers.console import console_ns
@@ -376,8 +376,12 @@ class CompletionConversationApi(Resource):
# FIXME, the type ignore in this file
if args.annotation_status == "annotated":
query = query.options(joinedload(Conversation.message_annotations)).join( # type: ignore
MessageAnnotation, MessageAnnotation.conversation_id == Conversation.id
query = (
query.options(selectinload(Conversation.message_annotations)) # type: ignore[arg-type]
.join( # type: ignore
MessageAnnotation, MessageAnnotation.conversation_id == Conversation.id
)
.distinct()
)
elif args.annotation_status == "not_annotated":
query = (
@@ -454,9 +458,7 @@ class ChatConversationApi(Resource):
args = ChatConversationQuery.model_validate(request.args.to_dict(flat=True)) # type: ignore
subquery = (
db.session.query(
Conversation.id.label("conversation_id"), EndUser.session_id.label("from_end_user_session_id")
)
sa.select(Conversation.id.label("conversation_id"), EndUser.session_id.label("from_end_user_session_id"))
.outerjoin(EndUser, Conversation.from_end_user_id == EndUser.id)
.subquery()
)
@@ -511,8 +513,12 @@ class ChatConversationApi(Resource):
match args.annotation_status:
case "annotated":
query = query.options(joinedload(Conversation.message_annotations)).join( # type: ignore
MessageAnnotation, MessageAnnotation.conversation_id == Conversation.id
query = (
query.options(selectinload(Conversation.message_annotations)) # type: ignore[arg-type]
.join( # type: ignore
MessageAnnotation, MessageAnnotation.conversation_id == Conversation.id
)
.distinct()
)
case "not_annotated":
query = (
@@ -587,10 +593,8 @@ class ChatConversationDetailApi(Resource):
def _get_conversation(app_model, conversation_id):
current_user, _ = current_account_with_tenant()
conversation = (
db.session.query(Conversation)
.where(Conversation.id == conversation_id, Conversation.app_id == app_model.id)
.first()
conversation = db.session.scalar(
sa.select(Conversation).where(Conversation.id == conversation_id, Conversation.app_id == app_model.id).limit(1)
)
if not conversation:

View File

@@ -168,7 +168,7 @@ class InstructionGenerateApi(Resource):
try:
# Generate from nothing for a workflow node
if (args.current in (code_template, "")) and args.node_id != "":
app = db.session.query(App).where(App.id == args.flow_id).first()
app = db.session.get(App, args.flow_id)
if not app:
return {"error": f"app {args.flow_id} not found"}, 400
workflow = WorkflowService().get_draft_workflow(app_model=app)

View File

@@ -2,6 +2,7 @@ import json
from flask_restx import Resource, marshal_with
from pydantic import BaseModel, Field
from sqlalchemy import select
from werkzeug.exceptions import NotFound
from controllers.console import console_ns
@@ -47,7 +48,7 @@ class AppMCPServerController(Resource):
@get_app_model
@marshal_with(app_server_model)
def get(self, app_model):
server = db.session.query(AppMCPServer).where(AppMCPServer.app_id == app_model.id).first()
server = db.session.scalar(select(AppMCPServer).where(AppMCPServer.app_id == app_model.id).limit(1))
return server
@console_ns.doc("create_app_mcp_server")
@@ -98,18 +99,18 @@ class AppMCPServerController(Resource):
@edit_permission_required
def put(self, app_model):
payload = MCPServerUpdatePayload.model_validate(console_ns.payload or {})
server = db.session.query(AppMCPServer).where(AppMCPServer.id == payload.id).first()
server = db.session.get(AppMCPServer, payload.id)
if not server:
raise NotFound()
description = payload.description
if description is None:
pass
elif not description:
if description is None or not description:
server.description = app_model.description or ""
else:
server.description = description
server.name = app_model.name
server.parameters = json.dumps(payload.parameters, ensure_ascii=False)
if payload.status:
try:
@@ -135,11 +136,10 @@ class AppMCPServerRefreshController(Resource):
@edit_permission_required
def get(self, server_id):
_, current_tenant_id = current_account_with_tenant()
server = (
db.session.query(AppMCPServer)
.where(AppMCPServer.id == server_id)
.where(AppMCPServer.tenant_id == current_tenant_id)
.first()
server = db.session.scalar(
select(AppMCPServer)
.where(AppMCPServer.id == server_id, AppMCPServer.tenant_id == current_tenant_id)
.limit(1)
)
if not server:
raise NotFound()

View File

@@ -4,7 +4,7 @@ from typing import Literal
from flask import request
from flask_restx import Resource, fields, marshal_with
from pydantic import BaseModel, Field, field_validator
from sqlalchemy import exists, select
from sqlalchemy import exists, func, select
from werkzeug.exceptions import InternalServerError, NotFound
from controllers.common.schema import register_schema_models
@@ -30,6 +30,7 @@ from fields.raws import FilesContainedField
from libs.helper import TimestampField, uuid_value
from libs.infinite_scroll_pagination import InfiniteScrollPagination
from libs.login import current_account_with_tenant, login_required
from models.enums import FeedbackFromSource, FeedbackRating
from models.model import AppMode, Conversation, Message, MessageAnnotation, MessageFeedback
from services.errors.conversation import ConversationNotExistsError
from services.errors.message import MessageNotExistsError, SuggestedQuestionsAfterAnswerDisabledError
@@ -243,27 +244,25 @@ class ChatMessageListApi(Resource):
def get(self, app_model):
args = ChatMessagesQuery.model_validate(request.args.to_dict())
conversation = (
db.session.query(Conversation)
conversation = db.session.scalar(
select(Conversation)
.where(Conversation.id == args.conversation_id, Conversation.app_id == app_model.id)
.first()
.limit(1)
)
if not conversation:
raise NotFound("Conversation Not Exists.")
if args.first_id:
first_message = (
db.session.query(Message)
.where(Message.conversation_id == conversation.id, Message.id == args.first_id)
.first()
first_message = db.session.scalar(
select(Message).where(Message.conversation_id == conversation.id, Message.id == args.first_id).limit(1)
)
if not first_message:
raise NotFound("First message not found")
history_messages = (
db.session.query(Message)
history_messages = db.session.scalars(
select(Message)
.where(
Message.conversation_id == conversation.id,
Message.created_at < first_message.created_at,
@@ -271,16 +270,14 @@ class ChatMessageListApi(Resource):
)
.order_by(Message.created_at.desc())
.limit(args.limit)
.all()
)
).all()
else:
history_messages = (
db.session.query(Message)
history_messages = db.session.scalars(
select(Message)
.where(Message.conversation_id == conversation.id)
.order_by(Message.created_at.desc())
.limit(args.limit)
.all()
)
).all()
# Initialize has_more based on whether we have a full page
if len(history_messages) == args.limit:
@@ -325,7 +322,9 @@ class MessageFeedbackApi(Resource):
message_id = str(args.message_id)
message = db.session.query(Message).where(Message.id == message_id, Message.app_id == app_model.id).first()
message = db.session.scalar(
select(Message).where(Message.id == message_id, Message.app_id == app_model.id).limit(1)
)
if not message:
raise NotFound("Message Not Exists.")
@@ -335,7 +334,7 @@ class MessageFeedbackApi(Resource):
if not args.rating and feedback:
db.session.delete(feedback)
elif args.rating and feedback:
feedback.rating = args.rating
feedback.rating = FeedbackRating(args.rating)
feedback.content = args.content
elif not args.rating and not feedback:
raise ValueError("rating cannot be None when feedback not exists")
@@ -347,9 +346,9 @@ class MessageFeedbackApi(Resource):
app_id=app_model.id,
conversation_id=message.conversation_id,
message_id=message.id,
rating=rating_value,
rating=FeedbackRating(rating_value),
content=args.content,
from_source="admin",
from_source=FeedbackFromSource.ADMIN,
from_account_id=current_user.id,
)
db.session.add(feedback)
@@ -374,7 +373,9 @@ class MessageAnnotationCountApi(Resource):
@login_required
@account_initialization_required
def get(self, app_model):
count = db.session.query(MessageAnnotation).where(MessageAnnotation.app_id == app_model.id).count()
count = db.session.scalar(
select(func.count(MessageAnnotation.id)).where(MessageAnnotation.app_id == app_model.id)
)
return {"count": count}
@@ -478,7 +479,9 @@ class MessageApi(Resource):
def get(self, app_model, message_id: str):
message_id = str(message_id)
message = db.session.query(Message).where(Message.id == message_id, Message.app_id == app_model.id).first()
message = db.session.scalar(
select(Message).where(Message.id == message_id, Message.app_id == app_model.id).limit(1)
)
if not message:
raise NotFound("Message Not Exists.")

View File

@@ -69,9 +69,7 @@ class ModelConfigResource(Resource):
if app_model.mode == AppMode.AGENT_CHAT or app_model.is_agent:
# get original app model config
original_app_model_config = (
db.session.query(AppModelConfig).where(AppModelConfig.id == app_model.app_model_config_id).first()
)
original_app_model_config = db.session.get(AppModelConfig, app_model.app_model_config_id)
if original_app_model_config is None:
raise ValueError("Original app model config not found")
agent_mode = original_app_model_config.agent_mode_dict

View File

@@ -2,6 +2,7 @@ from typing import Literal
from flask_restx import Resource, marshal_with
from pydantic import BaseModel, Field, field_validator
from sqlalchemy import select
from werkzeug.exceptions import NotFound
from constants.languages import supported_language
@@ -75,7 +76,7 @@ class AppSite(Resource):
def post(self, app_model):
args = AppSiteUpdatePayload.model_validate(console_ns.payload or {})
current_user, _ = current_account_with_tenant()
site = db.session.query(Site).where(Site.app_id == app_model.id).first()
site = db.session.scalar(select(Site).where(Site.app_id == app_model.id).limit(1))
if not site:
raise NotFound
@@ -124,7 +125,7 @@ class AppSiteAccessTokenReset(Resource):
@marshal_with(app_site_model)
def post(self, app_model):
current_user, _ = current_account_with_tenant()
site = db.session.query(Site).where(Site.app_id == app_model.id).first()
site = db.session.scalar(select(Site).where(Site.app_id == app_model.id).limit(1))
if not site:
raise NotFound

View File

@@ -7,7 +7,7 @@ from flask import abort, request
from flask_restx import Resource, fields, marshal_with
from pydantic import BaseModel, Field, field_validator
from sqlalchemy.orm import Session
from werkzeug.exceptions import Forbidden, InternalServerError, NotFound
from werkzeug.exceptions import BadRequest, Forbidden, InternalServerError, NotFound
import services
from controllers.console import console_ns
@@ -46,13 +46,14 @@ from models import App
from models.model import AppMode
from models.workflow import Workflow
from services.app_generate_service import AppGenerateService
from services.errors.app import WorkflowHashNotEqualError
from services.errors.app import IsDraftWorkflowError, WorkflowHashNotEqualError, WorkflowNotFoundError
from services.errors.llm import InvokeRateLimitError
from services.workflow_service import DraftWorkflowDeletionError, WorkflowInUseError, WorkflowService
logger = logging.getLogger(__name__)
LISTENING_RETRY_IN = 2000
DEFAULT_REF_TEMPLATE_SWAGGER_2_0 = "#/definitions/{model}"
RESTORE_SOURCE_WORKFLOW_MUST_BE_PUBLISHED_MESSAGE = "source workflow must be published"
# Register models for flask_restx to avoid dict type issues in Swagger
# Register in dependency order: base models first, then dependent models
@@ -284,7 +285,9 @@ class DraftWorkflowApi(Resource):
workflow_service = WorkflowService()
try:
environment_variables_list = args.get("environment_variables") or []
environment_variables_list = Workflow.normalize_environment_variable_mappings(
args.get("environment_variables") or [],
)
environment_variables = [
variable_factory.build_environment_variable_from_mapping(obj) for obj in environment_variables_list
]
@@ -994,6 +997,43 @@ class PublishedAllWorkflowApi(Resource):
}
@console_ns.route("/apps/<uuid:app_id>/workflows/<string:workflow_id>/restore")
class DraftWorkflowRestoreApi(Resource):
@console_ns.doc("restore_workflow_to_draft")
@console_ns.doc(description="Restore a published workflow version into the draft workflow")
@console_ns.doc(params={"app_id": "Application ID", "workflow_id": "Published workflow ID"})
@console_ns.response(200, "Workflow restored successfully")
@console_ns.response(400, "Source workflow must be published")
@console_ns.response(404, "Workflow not found")
@setup_required
@login_required
@account_initialization_required
@get_app_model(mode=[AppMode.ADVANCED_CHAT, AppMode.WORKFLOW])
@edit_permission_required
def post(self, app_model: App, workflow_id: str):
current_user, _ = current_account_with_tenant()
workflow_service = WorkflowService()
try:
workflow = workflow_service.restore_published_workflow_to_draft(
app_model=app_model,
workflow_id=workflow_id,
account=current_user,
)
except IsDraftWorkflowError as exc:
raise BadRequest(RESTORE_SOURCE_WORKFLOW_MUST_BE_PUBLISHED_MESSAGE) from exc
except WorkflowNotFoundError as exc:
raise NotFound(str(exc)) from exc
except ValueError as exc:
raise BadRequest(str(exc)) from exc
return {
"result": "success",
"hash": workflow.unique_hash,
"updated_at": TimestampField().format(workflow.updated_at or workflow.created_at),
}
@console_ns.route("/apps/<uuid:app_id>/workflows/<string:workflow_id>")
class WorkflowByIdApi(Resource):
@console_ns.doc("update_workflow_by_id")

View File

@@ -2,6 +2,8 @@ from collections.abc import Callable
from functools import wraps
from typing import ParamSpec, TypeVar, Union
from sqlalchemy import select
from controllers.console.app.error import AppNotFoundError
from extensions.ext_database import db
from libs.login import current_account_with_tenant
@@ -15,16 +17,14 @@ R1 = TypeVar("R1")
def _load_app_model(app_id: str) -> App | None:
_, current_tenant_id = current_account_with_tenant()
app_model = (
db.session.query(App)
.where(App.id == app_id, App.tenant_id == current_tenant_id, App.status == "normal")
.first()
app_model = db.session.scalar(
select(App).where(App.id == app_id, App.tenant_id == current_tenant_id, App.status == "normal").limit(1)
)
return app_model
def _load_app_model_with_trial(app_id: str) -> App | None:
app_model = db.session.query(App).where(App.id == app_id, App.status == "normal").first()
app_model = db.session.scalar(select(App).where(App.id == app_id, App.status == "normal").limit(1))
return app_model

View File

@@ -1,7 +1,7 @@
from flask import request
from flask_restx import Resource
from pydantic import BaseModel, Field, field_validator
from sqlalchemy.orm import Session
from sqlalchemy.orm import sessionmaker
from configs import dify_config
from constants.languages import languages
@@ -73,7 +73,7 @@ class EmailRegisterSendEmailApi(Resource):
if dify_config.BILLING_ENABLED and BillingService.is_email_in_freeze(normalized_email):
raise AccountInFreezeError()
with Session(db.engine) as session:
with sessionmaker(db.engine).begin() as session:
account = AccountService.get_account_by_email_with_case_fallback(args.email, session=session)
token = AccountService.send_email_register_email(email=normalized_email, account=account, language=language)
return {"result": "success", "data": token}
@@ -145,7 +145,7 @@ class EmailRegisterResetApi(Resource):
email = register_data.get("email", "")
normalized_email = email.lower()
with Session(db.engine) as session:
with sessionmaker(db.engine).begin() as session:
account = AccountService.get_account_by_email_with_case_fallback(email, session=session)
if account:

View File

@@ -4,7 +4,7 @@ import secrets
from flask import request
from flask_restx import Resource
from pydantic import BaseModel, Field, field_validator
from sqlalchemy.orm import Session
from sqlalchemy.orm import sessionmaker
from controllers.common.schema import register_schema_models
from controllers.console import console_ns
@@ -102,7 +102,7 @@ class ForgotPasswordSendEmailApi(Resource):
else:
language = "en-US"
with Session(db.engine) as session:
with sessionmaker(db.engine).begin() as session:
account = AccountService.get_account_by_email_with_case_fallback(args.email, session=session)
token = AccountService.send_reset_password_email(
@@ -201,7 +201,7 @@ class ForgotPasswordResetApi(Resource):
password_hashed = hash_password(args.new_password, salt)
email = reset_data.get("email", "")
with Session(db.engine) as session:
with sessionmaker(db.engine).begin() as session:
account = AccountService.get_account_by_email_with_case_fallback(email, session=session)
if account:
@@ -215,7 +215,6 @@ class ForgotPasswordResetApi(Resource):
# Update existing account credentials
account.password = base64.b64encode(password_hashed).decode()
account.password_salt = base64.b64encode(salt).decode()
session.commit()
# Create workspace if needed
if (

View File

@@ -1,9 +1,10 @@
import logging
import urllib.parse
import httpx
from flask import current_app, redirect, request
from flask_restx import Resource
from sqlalchemy.orm import Session
from sqlalchemy.orm import sessionmaker
from werkzeug.exceptions import Unauthorized
from configs import dify_config
@@ -112,6 +113,9 @@ class OAuthCallback(Resource):
error_text = e.response.text
logger.exception("An error occurred during the OAuth process with %s: %s", provider, error_text)
return {"error": "OAuth process failed"}, 400
except ValueError as e:
logger.warning("OAuth error with %s", provider, exc_info=True)
return redirect(f"{dify_config.CONSOLE_WEB_URL}/signin?message={urllib.parse.quote(str(e))}")
if invite_token and RegisterService.is_valid_invite_token(invite_token):
invitation = RegisterService.get_invitation_by_token(token=invite_token)
@@ -176,7 +180,7 @@ def _get_account_by_openid_or_email(provider: str, user_info: OAuthUserInfo) ->
account: Account | None = Account.get_by_openid(provider, user_info.id)
if not account:
with Session(db.engine) as session:
with sessionmaker(db.engine).begin() as session:
account = AccountService.get_account_by_email_with_case_fallback(user_info.email, session=session)
return account

View File

@@ -3,7 +3,7 @@ from typing import Any, cast
from flask import request
from flask_restx import Resource, fields, marshal, marshal_with
from pydantic import BaseModel, Field, field_validator
from sqlalchemy import select
from sqlalchemy import func, select
from werkzeug.exceptions import Forbidden, NotFound
import services
@@ -29,6 +29,7 @@ from core.provider_manager import ProviderManager
from core.rag.datasource.vdb.vector_type import VectorType
from core.rag.extractor.entity.datasource_type import DatasourceType
from core.rag.extractor.entity.extract_setting import ExtractSetting, NotionInfo, WebsiteInfo
from core.rag.index_processor.constant.index_type import IndexTechniqueType
from core.rag.retrieval.retrieval_methods import RetrievalMethod
from dify_graph.model_runtime.entities.model_entities import ModelType
from extensions.ext_database import db
@@ -54,7 +55,7 @@ from fields.document_fields import document_status_fields
from libs.login import current_account_with_tenant, login_required
from models import ApiToken, Dataset, Document, DocumentSegment, UploadFile
from models.dataset import DatasetPermission, DatasetPermissionEnum
from models.enums import SegmentStatus
from models.enums import ApiTokenType, SegmentStatus
from models.provider_ids import ModelProviderID
from services.api_token_service import ApiTokenCache
from services.dataset_service import DatasetPermissionService, DatasetService, DocumentService
@@ -355,7 +356,7 @@ class DatasetListApi(Resource):
for item in data:
# convert embedding_model_provider to plugin standard format
if item["indexing_technique"] == "high_quality" and item["embedding_model_provider"]:
if item["indexing_technique"] == IndexTechniqueType.HIGH_QUALITY and item["embedding_model_provider"]:
item["embedding_model_provider"] = str(ModelProviderID(item["embedding_model_provider"]))
item_model = f"{item['embedding_model']}:{item['embedding_model_provider']}"
if item_model in model_names:
@@ -436,7 +437,7 @@ class DatasetApi(Resource):
except services.errors.account.NoPermissionError as e:
raise Forbidden(str(e))
data = cast(dict[str, Any], marshal(dataset, dataset_detail_fields))
if dataset.indexing_technique == "high_quality":
if dataset.indexing_technique == IndexTechniqueType.HIGH_QUALITY:
if dataset.embedding_model_provider:
provider_id = ModelProviderID(dataset.embedding_model_provider)
data["embedding_model_provider"] = str(provider_id)
@@ -454,7 +455,7 @@ class DatasetApi(Resource):
for embedding_model in embedding_models:
model_names.append(f"{embedding_model.model}:{embedding_model.provider.provider}")
if data["indexing_technique"] == "high_quality":
if data["indexing_technique"] == IndexTechniqueType.HIGH_QUALITY:
item_model = f"{data['embedding_model']}:{data['embedding_model_provider']}"
if item_model in model_names:
data["embedding_available"] = True
@@ -485,7 +486,7 @@ class DatasetApi(Resource):
current_user, current_tenant_id = current_account_with_tenant()
# check embedding model setting
if (
payload.indexing_technique == "high_quality"
payload.indexing_technique == IndexTechniqueType.HIGH_QUALITY
and payload.embedding_model_provider is not None
and payload.embedding_model is not None
):
@@ -738,20 +739,23 @@ class DatasetIndexingStatusApi(Resource):
documents_status = []
for document in documents:
completed_segments = (
db.session.query(DocumentSegment)
.where(
DocumentSegment.completed_at.isnot(None),
DocumentSegment.document_id == str(document.id),
DocumentSegment.status != SegmentStatus.RE_SEGMENT,
db.session.scalar(
select(func.count(DocumentSegment.id)).where(
DocumentSegment.completed_at.isnot(None),
DocumentSegment.document_id == str(document.id),
DocumentSegment.status != SegmentStatus.RE_SEGMENT,
)
)
.count()
or 0
)
total_segments = (
db.session.query(DocumentSegment)
.where(
DocumentSegment.document_id == str(document.id), DocumentSegment.status != SegmentStatus.RE_SEGMENT
db.session.scalar(
select(func.count(DocumentSegment.id)).where(
DocumentSegment.document_id == str(document.id),
DocumentSegment.status != SegmentStatus.RE_SEGMENT,
)
)
.count()
or 0
)
# Create a dictionary with document attributes and additional fields
document_dict = {
@@ -777,7 +781,7 @@ class DatasetIndexingStatusApi(Resource):
class DatasetApiKeyApi(Resource):
max_keys = 10
token_prefix = "dataset-"
resource_type = "dataset"
resource_type = ApiTokenType.DATASET
@console_ns.doc("get_dataset_api_keys")
@console_ns.doc(description="Get dataset API keys")
@@ -802,9 +806,12 @@ class DatasetApiKeyApi(Resource):
_, current_tenant_id = current_account_with_tenant()
current_key_count = (
db.session.query(ApiToken)
.where(ApiToken.type == self.resource_type, ApiToken.tenant_id == current_tenant_id)
.count()
db.session.scalar(
select(func.count(ApiToken.id)).where(
ApiToken.type == self.resource_type, ApiToken.tenant_id == current_tenant_id
)
)
or 0
)
if current_key_count >= self.max_keys:
@@ -826,7 +833,7 @@ class DatasetApiKeyApi(Resource):
@console_ns.route("/datasets/api-keys/<uuid:api_key_id>")
class DatasetApiDeleteApi(Resource):
resource_type = "dataset"
resource_type = ApiTokenType.DATASET
@console_ns.doc("delete_dataset_api_key")
@console_ns.doc(description="Delete dataset API key")
@@ -839,14 +846,14 @@ class DatasetApiDeleteApi(Resource):
def delete(self, api_key_id):
_, current_tenant_id = current_account_with_tenant()
api_key_id = str(api_key_id)
key = (
db.session.query(ApiToken)
key = db.session.scalar(
select(ApiToken)
.where(
ApiToken.tenant_id == current_tenant_id,
ApiToken.type == self.resource_type,
ApiToken.id == api_key_id,
)
.first()
.limit(1)
)
if key is None:
@@ -857,7 +864,7 @@ class DatasetApiDeleteApi(Resource):
assert key is not None # nosec - for type checker only
ApiTokenCache.delete(key.token, key.type)
db.session.query(ApiToken).where(ApiToken.id == api_key_id).delete()
db.session.delete(key)
db.session.commit()
return {"result": "success"}, 204

View File

@@ -10,7 +10,7 @@ import sqlalchemy as sa
from flask import request, send_file
from flask_restx import Resource, fields, marshal, marshal_with
from pydantic import BaseModel, Field
from sqlalchemy import asc, desc, select
from sqlalchemy import asc, desc, func, select
from werkzeug.exceptions import Forbidden, NotFound
import services
@@ -27,6 +27,7 @@ from core.model_manager import ModelManager
from core.plugin.impl.exc import PluginDaemonClientSideError
from core.rag.extractor.entity.datasource_type import DatasourceType
from core.rag.extractor.entity.extract_setting import ExtractSetting, NotionInfo, WebsiteInfo
from core.rag.index_processor.constant.index_type import IndexTechniqueType
from dify_graph.model_runtime.entities.model_entities import ModelType
from dify_graph.model_runtime.errors.invoke import InvokeAuthorizationError
from extensions.ext_database import db
@@ -211,12 +212,11 @@ class GetProcessRuleApi(Resource):
raise Forbidden(str(e))
# get the latest process rule
dataset_process_rule = (
db.session.query(DatasetProcessRule)
dataset_process_rule = db.session.scalar(
select(DatasetProcessRule)
.where(DatasetProcessRule.dataset_id == document.dataset_id)
.order_by(DatasetProcessRule.created_at.desc())
.limit(1)
.one_or_none()
)
if dataset_process_rule:
mode = dataset_process_rule.mode
@@ -298,6 +298,7 @@ class DatasetDocumentListApi(Resource):
if sort == "hit_count":
sub_query = (
sa.select(DocumentSegment.document_id, sa.func.sum(DocumentSegment.hit_count).label("total_hit_count"))
.where(DocumentSegment.dataset_id == str(dataset_id))
.group_by(DocumentSegment.document_id)
.subquery()
)
@@ -329,21 +330,23 @@ class DatasetDocumentListApi(Resource):
if fetch:
for document in documents:
completed_segments = (
db.session.query(DocumentSegment)
.where(
DocumentSegment.completed_at.isnot(None),
DocumentSegment.document_id == str(document.id),
DocumentSegment.status != SegmentStatus.RE_SEGMENT,
db.session.scalar(
select(func.count(DocumentSegment.id)).where(
DocumentSegment.completed_at.isnot(None),
DocumentSegment.document_id == str(document.id),
DocumentSegment.status != SegmentStatus.RE_SEGMENT,
)
)
.count()
or 0
)
total_segments = (
db.session.query(DocumentSegment)
.where(
DocumentSegment.document_id == str(document.id),
DocumentSegment.status != SegmentStatus.RE_SEGMENT,
db.session.scalar(
select(func.count(DocumentSegment.id)).where(
DocumentSegment.document_id == str(document.id),
DocumentSegment.status != SegmentStatus.RE_SEGMENT,
)
)
.count()
or 0
)
document.completed_segments = completed_segments
document.total_segments = total_segments
@@ -447,7 +450,7 @@ class DatasetInitApi(Resource):
raise Forbidden()
knowledge_config = KnowledgeConfig.model_validate(console_ns.payload or {})
if knowledge_config.indexing_technique == "high_quality":
if knowledge_config.indexing_technique == IndexTechniqueType.HIGH_QUALITY:
if knowledge_config.embedding_model is None or knowledge_config.embedding_model_provider is None:
raise ValueError("embedding model and embedding model provider are required for high quality indexing.")
try:
@@ -461,7 +464,7 @@ class DatasetInitApi(Resource):
is_multimodal = DatasetService.check_is_multimodal_model(
current_tenant_id, knowledge_config.embedding_model_provider, knowledge_config.embedding_model
)
knowledge_config.is_multimodal = is_multimodal
knowledge_config.is_multimodal = is_multimodal # pyrefly: ignore[bad-assignment]
except InvokeAuthorizationError:
raise ProviderNotInitializeError(
"No Embedding Model available. Please configure a valid provider in the Settings -> Model Provider."
@@ -520,10 +523,10 @@ class DocumentIndexingEstimateApi(DocumentResource):
if data_source_info and "upload_file_id" in data_source_info:
file_id = data_source_info["upload_file_id"]
file = (
db.session.query(UploadFile)
file = db.session.scalar(
select(UploadFile)
.where(UploadFile.tenant_id == document.tenant_id, UploadFile.id == file_id)
.first()
.limit(1)
)
# raise error if file not found
@@ -585,10 +588,10 @@ class DocumentBatchIndexingEstimateApi(DocumentResource):
if not data_source_info:
continue
file_id = data_source_info["upload_file_id"]
file_detail = (
db.session.query(UploadFile)
file_detail = db.session.scalar(
select(UploadFile)
.where(UploadFile.tenant_id == current_tenant_id, UploadFile.id == file_id)
.first()
.limit(1)
)
if file_detail is None:
@@ -671,20 +674,23 @@ class DocumentBatchIndexingStatusApi(DocumentResource):
documents_status = []
for document in documents:
completed_segments = (
db.session.query(DocumentSegment)
.where(
DocumentSegment.completed_at.isnot(None),
DocumentSegment.document_id == str(document.id),
DocumentSegment.status != SegmentStatus.RE_SEGMENT,
db.session.scalar(
select(func.count(DocumentSegment.id)).where(
DocumentSegment.completed_at.isnot(None),
DocumentSegment.document_id == str(document.id),
DocumentSegment.status != SegmentStatus.RE_SEGMENT,
)
)
.count()
or 0
)
total_segments = (
db.session.query(DocumentSegment)
.where(
DocumentSegment.document_id == str(document.id), DocumentSegment.status != SegmentStatus.RE_SEGMENT
db.session.scalar(
select(func.count(DocumentSegment.id)).where(
DocumentSegment.document_id == str(document.id),
DocumentSegment.status != SegmentStatus.RE_SEGMENT,
)
)
.count()
or 0
)
# Create a dictionary with document attributes and additional fields
document_dict = {
@@ -722,18 +728,23 @@ class DocumentIndexingStatusApi(DocumentResource):
document = self.get_document(dataset_id, document_id)
completed_segments = (
db.session.query(DocumentSegment)
.where(
DocumentSegment.completed_at.isnot(None),
DocumentSegment.document_id == str(document_id),
DocumentSegment.status != SegmentStatus.RE_SEGMENT,
db.session.scalar(
select(func.count(DocumentSegment.id)).where(
DocumentSegment.completed_at.isnot(None),
DocumentSegment.document_id == str(document_id),
DocumentSegment.status != SegmentStatus.RE_SEGMENT,
)
)
.count()
or 0
)
total_segments = (
db.session.query(DocumentSegment)
.where(DocumentSegment.document_id == str(document_id), DocumentSegment.status != SegmentStatus.RE_SEGMENT)
.count()
db.session.scalar(
select(func.count(DocumentSegment.id)).where(
DocumentSegment.document_id == str(document_id),
DocumentSegment.status != SegmentStatus.RE_SEGMENT,
)
)
or 0
)
# Create a dictionary with document attributes and additional fields
@@ -1257,11 +1268,11 @@ class DocumentPipelineExecutionLogApi(DocumentResource):
document = DocumentService.get_document(dataset.id, document_id)
if not document:
raise NotFound("Document not found.")
log = (
db.session.query(DocumentPipelineExecutionLog)
.filter_by(document_id=document_id)
log = db.session.scalar(
select(DocumentPipelineExecutionLog)
.where(DocumentPipelineExecutionLog.document_id == document_id)
.order_by(DocumentPipelineExecutionLog.created_at.desc())
.first()
.limit(1)
)
if not log:
return {
@@ -1327,7 +1338,7 @@ class DocumentGenerateSummaryApi(Resource):
raise BadRequest("document_list cannot be empty.")
# Check if dataset configuration supports summary generation
if dataset.indexing_technique != "high_quality":
if dataset.indexing_technique != IndexTechniqueType.HIGH_QUALITY:
raise ValueError(
f"Summary generation is only available for 'high_quality' indexing technique. "
f"Current indexing technique: {dataset.indexing_technique}"

View File

@@ -26,6 +26,7 @@ from controllers.console.wraps import (
)
from core.errors.error import LLMBadRequestError, ProviderTokenNotInitError
from core.model_manager import ModelManager
from core.rag.index_processor.constant.index_type import IndexTechniqueType
from dify_graph.model_runtime.entities.model_entities import ModelType
from extensions.ext_database import db
from extensions.ext_redis import redis_client
@@ -45,7 +46,7 @@ def _get_segment_with_summary(segment, dataset_id):
"""Helper function to marshal segment and add summary information."""
from services.summary_index_service import SummaryIndexService
segment_dict = dict(marshal(segment, segment_fields))
segment_dict = dict(marshal(segment, segment_fields)) # type: ignore
# Query summary for this segment (only enabled summaries)
summary = SummaryIndexService.get_segment_summary(segment_id=segment.id, dataset_id=dataset_id)
segment_dict["summary"] = summary.summary_content if summary else None
@@ -206,7 +207,7 @@ class DatasetDocumentSegmentListApi(Resource):
# Add summary to each segment
segments_with_summary = []
for segment in segments.items:
segment_dict = dict(marshal(segment, segment_fields))
segment_dict = dict(marshal(segment, segment_fields)) # type: ignore
segment_dict["summary"] = summaries.get(segment.id)
segments_with_summary.append(segment_dict)
@@ -279,7 +280,7 @@ class DatasetDocumentSegmentApi(Resource):
DatasetService.check_dataset_permission(dataset, current_user)
except services.errors.account.NoPermissionError as e:
raise Forbidden(str(e))
if dataset.indexing_technique == "high_quality":
if dataset.indexing_technique == IndexTechniqueType.HIGH_QUALITY:
# check embedding model setting
try:
model_manager = ModelManager()
@@ -333,7 +334,7 @@ class DatasetDocumentSegmentAddApi(Resource):
if not current_user.is_dataset_editor:
raise Forbidden()
# check embedding model setting
if dataset.indexing_technique == "high_quality":
if dataset.indexing_technique == IndexTechniqueType.HIGH_QUALITY:
try:
model_manager = ModelManager()
model_manager.get_model_instance(
@@ -383,7 +384,7 @@ class DatasetDocumentSegmentUpdateApi(Resource):
document = DocumentService.get_document(dataset_id, document_id)
if not document:
raise NotFound("Document not found.")
if dataset.indexing_technique == "high_quality":
if dataset.indexing_technique == IndexTechniqueType.HIGH_QUALITY:
# check embedding model setting
try:
model_manager = ModelManager()
@@ -401,10 +402,10 @@ class DatasetDocumentSegmentUpdateApi(Resource):
raise ProviderNotInitializeError(ex.description)
# check segment
segment_id = str(segment_id)
segment = (
db.session.query(DocumentSegment)
segment = db.session.scalar(
select(DocumentSegment)
.where(DocumentSegment.id == str(segment_id), DocumentSegment.tenant_id == current_tenant_id)
.first()
.limit(1)
)
if not segment:
raise NotFound("Segment not found.")
@@ -447,10 +448,10 @@ class DatasetDocumentSegmentUpdateApi(Resource):
raise NotFound("Document not found.")
# check segment
segment_id = str(segment_id)
segment = (
db.session.query(DocumentSegment)
segment = db.session.scalar(
select(DocumentSegment)
.where(DocumentSegment.id == str(segment_id), DocumentSegment.tenant_id == current_tenant_id)
.first()
.limit(1)
)
if not segment:
raise NotFound("Segment not found.")
@@ -494,7 +495,7 @@ class DatasetDocumentSegmentBatchImportApi(Resource):
payload = BatchImportPayload.model_validate(console_ns.payload or {})
upload_file_id = payload.upload_file_id
upload_file = db.session.query(UploadFile).where(UploadFile.id == upload_file_id).first()
upload_file = db.session.scalar(select(UploadFile).where(UploadFile.id == upload_file_id).limit(1))
if not upload_file:
raise NotFound("UploadFile not found.")
@@ -559,17 +560,17 @@ class ChildChunkAddApi(Resource):
raise NotFound("Document not found.")
# check segment
segment_id = str(segment_id)
segment = (
db.session.query(DocumentSegment)
segment = db.session.scalar(
select(DocumentSegment)
.where(DocumentSegment.id == str(segment_id), DocumentSegment.tenant_id == current_tenant_id)
.first()
.limit(1)
)
if not segment:
raise NotFound("Segment not found.")
if not current_user.is_dataset_editor:
raise Forbidden()
# check embedding model setting
if dataset.indexing_technique == "high_quality":
if dataset.indexing_technique == IndexTechniqueType.HIGH_QUALITY:
try:
model_manager = ModelManager()
model_manager.get_model_instance(
@@ -616,10 +617,10 @@ class ChildChunkAddApi(Resource):
raise NotFound("Document not found.")
# check segment
segment_id = str(segment_id)
segment = (
db.session.query(DocumentSegment)
segment = db.session.scalar(
select(DocumentSegment)
.where(DocumentSegment.id == str(segment_id), DocumentSegment.tenant_id == current_tenant_id)
.first()
.limit(1)
)
if not segment:
raise NotFound("Segment not found.")
@@ -666,10 +667,10 @@ class ChildChunkAddApi(Resource):
raise NotFound("Document not found.")
# check segment
segment_id = str(segment_id)
segment = (
db.session.query(DocumentSegment)
segment = db.session.scalar(
select(DocumentSegment)
.where(DocumentSegment.id == str(segment_id), DocumentSegment.tenant_id == current_tenant_id)
.first()
.limit(1)
)
if not segment:
raise NotFound("Segment not found.")
@@ -714,24 +715,24 @@ class ChildChunkUpdateApi(Resource):
raise NotFound("Document not found.")
# check segment
segment_id = str(segment_id)
segment = (
db.session.query(DocumentSegment)
segment = db.session.scalar(
select(DocumentSegment)
.where(DocumentSegment.id == str(segment_id), DocumentSegment.tenant_id == current_tenant_id)
.first()
.limit(1)
)
if not segment:
raise NotFound("Segment not found.")
# check child chunk
child_chunk_id = str(child_chunk_id)
child_chunk = (
db.session.query(ChildChunk)
child_chunk = db.session.scalar(
select(ChildChunk)
.where(
ChildChunk.id == str(child_chunk_id),
ChildChunk.tenant_id == current_tenant_id,
ChildChunk.segment_id == segment.id,
ChildChunk.document_id == document_id,
)
.first()
.limit(1)
)
if not child_chunk:
raise NotFound("Child chunk not found.")
@@ -771,24 +772,24 @@ class ChildChunkUpdateApi(Resource):
raise NotFound("Document not found.")
# check segment
segment_id = str(segment_id)
segment = (
db.session.query(DocumentSegment)
segment = db.session.scalar(
select(DocumentSegment)
.where(DocumentSegment.id == str(segment_id), DocumentSegment.tenant_id == current_tenant_id)
.first()
.limit(1)
)
if not segment:
raise NotFound("Segment not found.")
# check child chunk
child_chunk_id = str(child_chunk_id)
child_chunk = (
db.session.query(ChildChunk)
child_chunk = db.session.scalar(
select(ChildChunk)
.where(
ChildChunk.id == str(child_chunk_id),
ChildChunk.tenant_id == current_tenant_id,
ChildChunk.segment_id == segment.id,
ChildChunk.document_id == document_id,
)
.first()
.limit(1)
)
if not child_chunk:
raise NotFound("Child chunk not found.")

View File

@@ -24,6 +24,7 @@ from fields.hit_testing_fields import hit_testing_record_fields
from libs.login import current_user
from models.account import Account
from services.dataset_service import DatasetService
from services.entities.knowledge_entities.knowledge_entities import RetrievalModel
from services.hit_testing_service import HitTestingService
logger = logging.getLogger(__name__)
@@ -31,7 +32,7 @@ logger = logging.getLogger(__name__)
class HitTestingPayload(BaseModel):
query: str = Field(max_length=250)
retrieval_model: dict[str, Any] | None = None
retrieval_model: RetrievalModel | None = None
external_retrieval_model: dict[str, Any] | None = None
attachment_ids: list[str] | None = None

View File

@@ -46,6 +46,8 @@ class PipelineTemplateDetailApi(Resource):
type = request.args.get("type", default="built-in", type=str)
rag_pipeline_service = RagPipelineService()
pipeline_template = rag_pipeline_service.get_pipeline_template_detail(template_id, type)
if pipeline_template is None:
return {"error": "Pipeline template not found from upstream service."}, 404
return pipeline_template, 200

View File

@@ -6,7 +6,7 @@ from flask import abort, request
from flask_restx import Resource, marshal_with # type: ignore
from pydantic import BaseModel, Field
from sqlalchemy.orm import Session
from werkzeug.exceptions import Forbidden, InternalServerError, NotFound
from werkzeug.exceptions import BadRequest, Forbidden, InternalServerError, NotFound
import services
from controllers.common.schema import register_schema_models
@@ -16,7 +16,11 @@ from controllers.console.app.error import (
DraftWorkflowNotExist,
DraftWorkflowNotSync,
)
from controllers.console.app.workflow import workflow_model, workflow_pagination_model
from controllers.console.app.workflow import (
RESTORE_SOURCE_WORKFLOW_MUST_BE_PUBLISHED_MESSAGE,
workflow_model,
workflow_pagination_model,
)
from controllers.console.app.workflow_run import (
workflow_run_detail_model,
workflow_run_node_execution_list_model,
@@ -42,7 +46,8 @@ from libs.login import current_account_with_tenant, current_user, login_required
from models import Account
from models.dataset import Pipeline
from models.model import EndUser
from services.errors.app import WorkflowHashNotEqualError
from models.workflow import Workflow
from services.errors.app import IsDraftWorkflowError, WorkflowHashNotEqualError, WorkflowNotFoundError
from services.errors.llm import InvokeRateLimitError
from services.rag_pipeline.pipeline_generate_service import PipelineGenerateService
from services.rag_pipeline.rag_pipeline import RagPipelineService
@@ -203,9 +208,12 @@ class DraftRagPipelineApi(Resource):
abort(415)
payload = DraftWorkflowSyncPayload.model_validate(payload_dict)
rag_pipeline_service = RagPipelineService()
try:
environment_variables_list = payload.environment_variables or []
environment_variables_list = Workflow.normalize_environment_variable_mappings(
payload.environment_variables or [],
)
environment_variables = [
variable_factory.build_environment_variable_from_mapping(obj) for obj in environment_variables_list
]
@@ -213,7 +221,6 @@ class DraftRagPipelineApi(Resource):
conversation_variables = [
variable_factory.build_conversation_variable_from_mapping(obj) for obj in conversation_variables_list
]
rag_pipeline_service = RagPipelineService()
workflow = rag_pipeline_service.sync_draft_workflow(
pipeline=pipeline,
graph=payload.graph,
@@ -705,6 +712,36 @@ class PublishedAllRagPipelineApi(Resource):
}
@console_ns.route("/rag/pipelines/<uuid:pipeline_id>/workflows/<string:workflow_id>/restore")
class RagPipelineDraftWorkflowRestoreApi(Resource):
@setup_required
@login_required
@account_initialization_required
@edit_permission_required
@get_rag_pipeline
def post(self, pipeline: Pipeline, workflow_id: str):
current_user, _ = current_account_with_tenant()
rag_pipeline_service = RagPipelineService()
try:
workflow = rag_pipeline_service.restore_published_workflow_to_draft(
pipeline=pipeline,
workflow_id=workflow_id,
account=current_user,
)
except IsDraftWorkflowError as exc:
# Use a stable, predefined message to keep the 400 response consistent
raise BadRequest(RESTORE_SOURCE_WORKFLOW_MUST_BE_PUBLISHED_MESSAGE) from exc
except WorkflowNotFoundError as exc:
raise NotFound(str(exc)) from exc
return {
"result": "success",
"hash": workflow.unique_hash,
"updated_at": TimestampField().format(workflow.updated_at or workflow.created_at),
}
@console_ns.route("/rag/pipelines/<uuid:pipeline_id>/workflows/<string:workflow_id>")
class RagPipelineByIdApi(Resource):
@setup_required

View File

@@ -2,6 +2,8 @@ from collections.abc import Callable
from functools import wraps
from typing import ParamSpec, TypeVar
from sqlalchemy import select
from controllers.console.datasets.error import PipelineNotFoundError
from extensions.ext_database import db
from libs.login import current_account_with_tenant
@@ -24,10 +26,8 @@ def get_rag_pipeline(view_func: Callable[P, R]):
del kwargs["pipeline_id"]
pipeline = (
db.session.query(Pipeline)
.where(Pipeline.id == pipeline_id, Pipeline.tenant_id == current_tenant_id)
.first()
pipeline = db.session.scalar(
select(Pipeline).where(Pipeline.id == pipeline_id, Pipeline.tenant_id == current_tenant_id).limit(1)
)
if not pipeline:

View File

@@ -1,9 +1,11 @@
from flask import request
from flask_restx import Resource
from sqlalchemy import select
from controllers.console import api
from controllers.console.explore.wraps import explore_banner_enabled
from extensions.ext_database import db
from models.enums import BannerStatus
from models.model import ExporleBanner
@@ -16,14 +18,18 @@ class BannerApi(Resource):
language = request.args.get("language", "en-US")
# Build base query for enabled banners
base_query = db.session.query(ExporleBanner).where(ExporleBanner.status == "enabled")
base_query = select(ExporleBanner).where(ExporleBanner.status == BannerStatus.ENABLED)
# Try to get banners in the requested language
banners = base_query.where(ExporleBanner.language == language).order_by(ExporleBanner.sort).all()
banners = db.session.scalars(
base_query.where(ExporleBanner.language == language).order_by(ExporleBanner.sort)
).all()
# Fallback to en-US if no banners found and language is not en-US
if not banners and language != "en-US":
banners = base_query.where(ExporleBanner.language == "en-US").order_by(ExporleBanner.sort).all()
banners = db.session.scalars(
base_query.where(ExporleBanner.language == "en-US").order_by(ExporleBanner.sort)
).all()
# Convert banners to serializable format
result = []
for banner in banners:

View File

@@ -133,13 +133,15 @@ class InstalledAppsListApi(Resource):
def post(self):
payload = InstalledAppCreatePayload.model_validate(console_ns.payload or {})
recommended_app = db.session.query(RecommendedApp).where(RecommendedApp.app_id == payload.app_id).first()
recommended_app = db.session.scalar(
select(RecommendedApp).where(RecommendedApp.app_id == payload.app_id).limit(1)
)
if recommended_app is None:
raise NotFound("Recommended app not found")
_, current_tenant_id = current_account_with_tenant()
app = db.session.query(App).where(App.id == payload.app_id).first()
app = db.session.get(App, payload.app_id)
if app is None:
raise NotFound("App entity not found")
@@ -147,10 +149,10 @@ class InstalledAppsListApi(Resource):
if not app.is_public:
raise Forbidden("You can't install a non-public app")
installed_app = (
db.session.query(InstalledApp)
installed_app = db.session.scalar(
select(InstalledApp)
.where(and_(InstalledApp.app_id == payload.app_id, InstalledApp.tenant_id == current_tenant_id))
.first()
.limit(1)
)
if installed_app is None:

View File

@@ -27,6 +27,7 @@ from fields.message_fields import MessageInfiniteScrollPagination, MessageListIt
from libs import helper
from libs.helper import UUIDStrOrEmpty
from libs.login import current_account_with_tenant
from models.enums import FeedbackRating
from models.model import AppMode
from services.app_generate_service import AppGenerateService
from services.errors.app import MoreLikeThisDisabledError
@@ -116,7 +117,7 @@ class MessageFeedbackApi(InstalledAppResource):
app_model=app_model,
message_id=message_id,
user=current_user,
rating=payload.rating,
rating=FeedbackRating(payload.rating) if payload.rating else None,
content=payload.content,
)
except MessageNotExistsError:

View File

@@ -4,6 +4,7 @@ from typing import Any, Literal, cast
from flask import request
from flask_restx import Resource, fields, marshal, marshal_with
from pydantic import BaseModel
from sqlalchemy import select
from werkzeug.exceptions import Forbidden, InternalServerError, NotFound
import services
@@ -476,7 +477,7 @@ class TrialSitApi(Resource):
Returns the site configuration for the application including theme, icons, and text.
"""
site = db.session.query(Site).where(Site.app_id == app_model.id).first()
site = db.session.scalar(select(Site).where(Site.app_id == app_model.id).limit(1))
if not site:
raise Forbidden()
@@ -541,13 +542,7 @@ class AppWorkflowApi(Resource):
if not app_model.workflow_id:
raise AppUnavailableError()
workflow = (
db.session.query(Workflow)
.where(
Workflow.id == app_model.workflow_id,
)
.first()
)
workflow = db.session.get(Workflow, app_model.workflow_id)
return workflow

View File

@@ -4,6 +4,7 @@ from typing import Concatenate, ParamSpec, TypeVar
from flask import abort
from flask_restx import Resource
from sqlalchemy import select
from werkzeug.exceptions import NotFound
from controllers.console.explore.error import AppAccessDeniedError, TrialAppLimitExceeded, TrialAppNotAllowed
@@ -24,10 +25,10 @@ def installed_app_required(view: Callable[Concatenate[InstalledApp, P], R] | Non
@wraps(view)
def decorated(installed_app_id: str, *args: P.args, **kwargs: P.kwargs):
_, current_tenant_id = current_account_with_tenant()
installed_app = (
db.session.query(InstalledApp)
installed_app = db.session.scalar(
select(InstalledApp)
.where(InstalledApp.id == str(installed_app_id), InstalledApp.tenant_id == current_tenant_id)
.first()
.limit(1)
)
if installed_app is None:
@@ -78,7 +79,7 @@ def trial_app_required(view: Callable[Concatenate[App, P], R] | None = None):
def decorated(app_id: str, *args: P.args, **kwargs: P.kwargs):
current_user, _ = current_account_with_tenant()
trial_app = db.session.query(TrialApp).where(TrialApp.app_id == str(app_id)).first()
trial_app = db.session.scalar(select(TrialApp).where(TrialApp.app_id == str(app_id)).limit(1))
if trial_app is None:
raise TrialAppNotAllowed()
@@ -87,10 +88,10 @@ def trial_app_required(view: Callable[Concatenate[App, P], R] | None = None):
if app is None:
raise TrialAppNotAllowed()
account_trial_app_record = (
db.session.query(AccountTrialAppRecord)
account_trial_app_record = db.session.scalar(
select(AccountTrialAppRecord)
.where(AccountTrialAppRecord.account_id == current_user.id, AccountTrialAppRecord.app_id == app_id)
.first()
.limit(1)
)
if account_trial_app_record:
if account_trial_app_record.count >= trial_app.trial_limit:

View File

@@ -2,6 +2,7 @@ from typing import Literal
from flask import request
from pydantic import BaseModel, Field, field_validator
from sqlalchemy import select
from configs import dify_config
from controllers.fastopenapi import console_router
@@ -100,6 +101,6 @@ def setup_system(payload: SetupRequestPayload) -> SetupResponse:
def get_setup_status() -> DifySetup | bool | None:
if dify_config.EDITION == "SELF_HOSTED":
return db.session.query(DifySetup).first()
return db.session.scalar(select(DifySetup).limit(1))
return True

View File

@@ -212,13 +212,13 @@ class AccountInitApi(Resource):
raise ValueError("invitation_code is required")
# check invitation code
invitation_code = (
db.session.query(InvitationCode)
invitation_code = db.session.scalar(
select(InvitationCode)
.where(
InvitationCode.code == args.invitation_code,
InvitationCode.status == InvitationCodeStatus.UNUSED,
)
.first()
.limit(1)
)
if not invitation_code:

View File

@@ -171,7 +171,7 @@ class MemberCancelInviteApi(Resource):
current_user, _ = current_account_with_tenant()
if not current_user.current_tenant:
raise ValueError("No current tenant")
member = db.session.query(Account).where(Account.id == str(member_id)).first()
member = db.session.get(Account, str(member_id))
if member is None:
abort(404)
else:

View File

@@ -7,6 +7,7 @@ from sqlalchemy import select
from werkzeug.exceptions import Unauthorized
import services
from configs import dify_config
from controllers.common.errors import (
FilenameNotExistsError,
FileTooLargeError,
@@ -29,6 +30,7 @@ from libs.helper import TimestampField
from libs.login import current_account_with_tenant, login_required
from models.account import Tenant, TenantStatus
from services.account_service import TenantService
from services.billing_service import BillingService, SubscriptionPlan
from services.enterprise.enterprise_service import EnterpriseService
from services.feature_service import FeatureService
from services.file_service import FileService
@@ -108,9 +110,29 @@ class TenantListApi(Resource):
current_user, current_tenant_id = current_account_with_tenant()
tenants = TenantService.get_join_tenants(current_user)
tenant_dicts = []
is_enterprise_only = dify_config.ENTERPRISE_ENABLED and not dify_config.BILLING_ENABLED
is_saas = dify_config.EDITION == "CLOUD" and dify_config.BILLING_ENABLED
tenant_plans: dict[str, SubscriptionPlan] = {}
if is_saas:
tenant_ids = [tenant.id for tenant in tenants]
if tenant_ids:
tenant_plans = BillingService.get_plan_bulk(tenant_ids)
if not tenant_plans:
logger.warning("get_plan_bulk returned empty result, falling back to legacy feature path")
for tenant in tenants:
features = FeatureService.get_features(tenant.id)
plan: str = CloudPlan.SANDBOX
if is_saas:
tenant_plan = tenant_plans.get(tenant.id)
if tenant_plan:
plan = tenant_plan["plan"] or CloudPlan.SANDBOX
else:
features = FeatureService.get_features(tenant.id)
plan = features.billing.subscription.plan or CloudPlan.SANDBOX
elif not is_enterprise_only:
features = FeatureService.get_features(tenant.id)
plan = features.billing.subscription.plan or CloudPlan.SANDBOX
# Create a dictionary with tenant attributes
tenant_dict = {
@@ -118,7 +140,7 @@ class TenantListApi(Resource):
"name": tenant.name,
"status": tenant.status,
"created_at": tenant.created_at,
"plan": features.billing.subscription.plan if features.billing.enabled else CloudPlan.SANDBOX,
"plan": plan,
"current": tenant.id == current_tenant_id if current_tenant_id else False,
}
@@ -198,7 +220,7 @@ class SwitchWorkspaceApi(Resource):
except Exception:
raise AccountNotLinkTenantError("Account not link tenant")
new_tenant = db.session.query(Tenant).get(args.tenant_id) # Get new tenant
new_tenant = db.session.get(Tenant, args.tenant_id) # Get new tenant
if new_tenant is None:
raise ValueError("Tenant not found")

View File

@@ -7,6 +7,7 @@ from functools import wraps
from typing import ParamSpec, TypeVar
from flask import abort, request
from sqlalchemy import select
from configs import dify_config
from controllers.console.auth.error import AuthenticationFailedError, EmailCodeError
@@ -218,13 +219,9 @@ def setup_required(view: Callable[P, R]) -> Callable[P, R]:
@wraps(view)
def decorated(*args: P.args, **kwargs: P.kwargs) -> R:
# check setup
if (
dify_config.EDITION == "SELF_HOSTED"
and os.environ.get("INIT_PASSWORD")
and not db.session.query(DifySetup).first()
):
raise NotInitValidateError()
elif dify_config.EDITION == "SELF_HOSTED" and not db.session.query(DifySetup).first():
if dify_config.EDITION == "SELF_HOSTED" and not db.session.scalar(select(DifySetup).limit(1)):
if os.environ.get("INIT_PASSWORD"):
raise NotInitValidateError()
raise NotSetupError()
return view(*args, **kwargs)

View File

@@ -5,6 +5,7 @@ from typing import ParamSpec, TypeVar
from flask import current_app, request
from flask_login import user_logged_in
from pydantic import BaseModel
from sqlalchemy import select
from sqlalchemy.orm import Session
from extensions.ext_database import db
@@ -36,23 +37,16 @@ def get_user(tenant_id: str, user_id: str | None) -> EndUser:
user_model = None
if is_anonymous:
user_model = (
session.query(EndUser)
user_model = session.scalar(
select(EndUser)
.where(
EndUser.session_id == user_id,
EndUser.tenant_id == tenant_id,
)
.first()
.limit(1)
)
else:
user_model = (
session.query(EndUser)
.where(
EndUser.id == user_id,
EndUser.tenant_id == tenant_id,
)
.first()
)
user_model = session.get(EndUser, user_id)
if not user_model:
user_model = EndUser(
@@ -85,16 +79,7 @@ def get_user_tenant(view_func: Callable[P, R]):
if not user_id:
user_id = DefaultEndUserSessionID.DEFAULT_SESSION_ID
try:
tenant_model = (
db.session.query(Tenant)
.where(
Tenant.id == tenant_id,
)
.first()
)
except Exception:
raise ValueError("tenant not found")
tenant_model = db.session.get(Tenant, tenant_id)
if not tenant_model:
raise ValueError("tenant not found")

View File

@@ -2,6 +2,7 @@ import json
from flask_restx import Resource
from pydantic import BaseModel
from sqlalchemy import select
from controllers.common.schema import register_schema_models
from controllers.console.wraps import setup_required
@@ -42,7 +43,7 @@ class EnterpriseWorkspace(Resource):
def post(self):
args = WorkspaceCreatePayload.model_validate(inner_api_ns.payload or {})
account = db.session.query(Account).filter_by(email=args.owner_email).first()
account = db.session.scalar(select(Account).where(Account.email == args.owner_email).limit(1))
if account is None:
return {"message": "owner account not found."}, 404

View File

@@ -75,7 +75,7 @@ def enterprise_inner_api_user_auth(view: Callable[P, R]):
if signature_base64 != token:
return view(*args, **kwargs)
kwargs["user"] = db.session.query(EndUser).where(EndUser.id == user_id).first()
kwargs["user"] = db.session.get(EndUser, user_id)
return view(*args, **kwargs)

View File

@@ -15,6 +15,7 @@ from core.app.entities.app_invoke_entities import InvokeFrom
from fields.conversation_fields import ResultResponse
from fields.message_fields import MessageInfiniteScrollPagination, MessageListItem
from libs.helper import UUIDStrOrEmpty
from models.enums import FeedbackRating
from models.model import App, AppMode, EndUser
from services.errors.message import (
FirstMessageNotExistsError,
@@ -116,7 +117,7 @@ class MessageFeedbackApi(Resource):
app_model=app_model,
message_id=message_id,
user=end_user,
rating=payload.rating,
rating=FeedbackRating(payload.rating) if payload.rating else None,
content=payload.content,
)
except MessageNotExistsError:

View File

@@ -15,6 +15,7 @@ from controllers.service_api.wraps import (
cloud_edition_billing_rate_limit_check,
)
from core.provider_manager import ProviderManager
from core.rag.index_processor.constant.index_type import IndexTechniqueType
from dify_graph.model_runtime.entities.model_entities import ModelType
from fields.dataset_fields import dataset_detail_fields
from fields.tag_fields import DataSetTag
@@ -153,15 +154,20 @@ class DatasetListApi(DatasetApiResource):
data = marshal(datasets, dataset_detail_fields)
for item in data:
if item["indexing_technique"] == "high_quality" and item["embedding_model_provider"]:
item["embedding_model_provider"] = str(ModelProviderID(item["embedding_model_provider"]))
item_model = f"{item['embedding_model']}:{item['embedding_model_provider']}"
if (
item["indexing_technique"] == IndexTechniqueType.HIGH_QUALITY # pyrefly: ignore[bad-index]
and item["embedding_model_provider"] # pyrefly: ignore[bad-index]
):
item["embedding_model_provider"] = str( # pyrefly: ignore[unsupported-operation]
ModelProviderID(item["embedding_model_provider"]) # pyrefly: ignore[bad-index]
)
item_model = f"{item['embedding_model']}:{item['embedding_model_provider']}" # pyrefly: ignore[bad-index]
if item_model in model_names:
item["embedding_available"] = True
item["embedding_available"] = True # type: ignore
else:
item["embedding_available"] = False
item["embedding_available"] = False # type: ignore
else:
item["embedding_available"] = True
item["embedding_available"] = True # type: ignore
response = {
"data": data,
"has_more": len(datasets) == query.limit,
@@ -265,7 +271,7 @@ class DatasetApi(DatasetApiResource):
for embedding_model in embedding_models:
model_names.append(f"{embedding_model.model}:{embedding_model.provider.provider}")
if data.get("indexing_technique") == "high_quality":
if data.get("indexing_technique") == IndexTechniqueType.HIGH_QUALITY:
item_model = f"{data.get('embedding_model')}:{data.get('embedding_model_provider')}"
if item_model in model_names:
data["embedding_available"] = True
@@ -315,7 +321,7 @@ class DatasetApi(DatasetApiResource):
# check embedding model setting
embedding_model_provider = payload.embedding_model_provider
embedding_model = payload.embedding_model
if payload.indexing_technique == "high_quality" or embedding_model_provider:
if payload.indexing_technique == IndexTechniqueType.HIGH_QUALITY or embedding_model_provider:
if embedding_model_provider and embedding_model:
DatasetService.check_embedding_model_setting(
dataset.tenant_id, embedding_model_provider, embedding_model

View File

@@ -17,6 +17,7 @@ from controllers.service_api.wraps import (
)
from core.errors.error import LLMBadRequestError, ProviderTokenNotInitError
from core.model_manager import ModelManager
from core.rag.index_processor.constant.index_type import IndexTechniqueType
from dify_graph.model_runtime.entities.model_entities import ModelType
from extensions.ext_database import db
from fields.segment_fields import child_chunk_fields, segment_fields
@@ -103,7 +104,7 @@ class SegmentApi(DatasetApiResource):
if not document.enabled:
raise NotFound("Document is disabled.")
# check embedding model setting
if dataset.indexing_technique == "high_quality":
if dataset.indexing_technique == IndexTechniqueType.HIGH_QUALITY:
try:
model_manager = ModelManager()
model_manager.get_model_instance(
@@ -157,7 +158,7 @@ class SegmentApi(DatasetApiResource):
if not document:
raise NotFound("Document not found.")
# check embedding model setting
if dataset.indexing_technique == "high_quality":
if dataset.indexing_technique == IndexTechniqueType.HIGH_QUALITY:
try:
model_manager = ModelManager()
model_manager.get_model_instance(
@@ -262,7 +263,7 @@ class DatasetSegmentApi(DatasetApiResource):
document = DocumentService.get_document(dataset_id, document_id)
if not document:
raise NotFound("Document not found.")
if dataset.indexing_technique == "high_quality":
if dataset.indexing_technique == IndexTechniqueType.HIGH_QUALITY:
# check embedding model setting
try:
model_manager = ModelManager()
@@ -358,7 +359,7 @@ class ChildChunkApi(DatasetApiResource):
raise NotFound("Segment not found.")
# check embedding model setting
if dataset.indexing_technique == "high_quality":
if dataset.indexing_technique == IndexTechniqueType.HIGH_QUALITY:
try:
model_manager = ModelManager()
model_manager.get_model_instance(

View File

@@ -70,7 +70,14 @@ def handle_webhook(webhook_id: str):
@bp.route("/webhook-debug/<string:webhook_id>", methods=["GET", "POST", "PUT", "PATCH", "DELETE", "HEAD", "OPTIONS"])
def handle_webhook_debug(webhook_id: str):
"""Handle webhook debug calls without triggering production workflow execution."""
"""Handle webhook debug calls without triggering production workflow execution.
The debug webhook endpoint is only for draft inspection flows. It never enqueues
Celery work for the published workflow; instead it dispatches an in-memory debug
event to an active Variable Inspector listener. Returning a clear error when no
listener is registered prevents a misleading 200 response for requests that are
effectively dropped.
"""
try:
webhook_trigger, _, node_config, webhook_data, error = _prepare_webhook_execution(webhook_id, is_debug=True)
if error:
@@ -94,11 +101,32 @@ def handle_webhook_debug(webhook_id: str):
"method": webhook_data.get("method"),
},
)
TriggerDebugEventBus.dispatch(
dispatch_count = TriggerDebugEventBus.dispatch(
tenant_id=webhook_trigger.tenant_id,
event=event,
pool_key=pool_key,
)
if dispatch_count == 0:
logger.warning(
"Webhook debug request dropped without an active listener for webhook %s (tenant=%s, app=%s, node=%s)",
webhook_trigger.webhook_id,
webhook_trigger.tenant_id,
webhook_trigger.app_id,
webhook_trigger.node_id,
)
return (
jsonify(
{
"error": "No active debug listener",
"message": (
"The webhook debug URL only works while the Variable Inspector is listening. "
"Use the published webhook URL to execute the workflow in Celery."
),
"execution_url": webhook_trigger.webhook_url,
}
),
409,
)
response_data, status_code = WebhookService.generate_webhook_response(node_config)
return jsonify(response_data), status_code

View File

@@ -8,6 +8,7 @@ from datetime import datetime
from flask import Response, request
from flask_restx import Resource, reqparse
from sqlalchemy import select
from werkzeug.exceptions import Forbidden
from configs import dify_config
@@ -147,11 +148,11 @@ class HumanInputFormApi(Resource):
def _get_app_site_from_form(form: Form) -> tuple[App, Site]:
"""Resolve App/Site for the form's app and validate tenant status."""
app_model = db.session.query(App).where(App.id == form.app_id).first()
app_model = db.session.get(App, form.app_id)
if app_model is None or app_model.tenant_id != form.tenant_id:
raise NotFoundError("Form not found")
site = db.session.query(Site).where(Site.app_id == app_model.id).first()
site = db.session.scalar(select(Site).where(Site.app_id == app_model.id).limit(1))
if site is None:
raise Forbidden()

View File

@@ -25,6 +25,7 @@ from fields.conversation_fields import ResultResponse
from fields.message_fields import SuggestedQuestionsResponse, WebMessageInfiniteScrollPagination, WebMessageListItem
from libs import helper
from libs.helper import uuid_value
from models.enums import FeedbackRating
from models.model import AppMode
from services.app_generate_service import AppGenerateService
from services.errors.app import MoreLikeThisDisabledError
@@ -157,7 +158,7 @@ class MessageFeedbackApi(WebApiResource):
app_model=app_model,
message_id=message_id,
user=end_user,
rating=payload.rating,
rating=FeedbackRating(payload.rating) if payload.rating else None,
content=payload.content,
)
except MessageNotExistsError:

View File

@@ -1,6 +1,7 @@
from typing import cast
from flask_restx import fields, marshal, marshal_with
from sqlalchemy import select
from werkzeug.exceptions import Forbidden
from configs import dify_config
@@ -72,7 +73,7 @@ class AppSiteApi(WebApiResource):
def get(self, app_model, end_user):
"""Retrieve app site info."""
# get site
site = db.session.query(Site).where(Site.app_id == app_model.id).first()
site = db.session.scalar(select(Site).where(Site.app_id == app_model.id).limit(1))
if not site:
raise Forbidden()

View File

@@ -8,6 +8,7 @@ from core.app.app_config.entities import (
ModelConfig,
)
from core.entities.agent_entities import PlanningStrategy
from core.rag.data_post_processor.data_post_processor import RerankingModelDict, WeightsDict
from models.model import AppMode, AppModelConfigDict
from services.dataset_service import DatasetService
@@ -117,8 +118,10 @@ class DatasetConfigManager:
score_threshold=float(score_threshold_val)
if dataset_configs.get("score_threshold_enabled", False) and score_threshold_val is not None
else None,
reranking_model=reranking_model_val if isinstance(reranking_model_val, dict) else None,
weights=weights_val if isinstance(weights_val, dict) else None,
reranking_model=cast(RerankingModelDict, reranking_model_val)
if isinstance(reranking_model_val, dict)
else None,
weights=cast(WeightsDict, weights_val) if isinstance(weights_val, dict) else None,
reranking_enabled=bool(dataset_configs.get("reranking_enabled", True)),
rerank_mode=dataset_configs.get("reranking_mode", "reranking_model"),
metadata_filtering_mode=cast(

View File

@@ -4,6 +4,7 @@ from typing import Any, Literal
from pydantic import BaseModel, Field
from core.rag.data_post_processor.data_post_processor import RerankingModelDict, WeightsDict
from dify_graph.file import FileUploadConfig
from dify_graph.model_runtime.entities.llm_entities import LLMMode
from dify_graph.model_runtime.entities.message_entities import PromptMessageRole
@@ -194,8 +195,8 @@ class DatasetRetrieveConfigEntity(BaseModel):
top_k: int | None = None
score_threshold: float | None = 0.0
rerank_mode: str | None = "reranking_model"
reranking_model: dict | None = None
weights: dict | None = None
reranking_model: RerankingModelDict | None = None
weights: WeightsDict | None = None
reranking_enabled: bool | None = True
metadata_filtering_mode: Literal["disabled", "automatic", "manual"] | None = "disabled"
metadata_model_config: ModelConfig | None = None

View File

@@ -76,7 +76,7 @@ from dify_graph.system_variable import SystemVariable
from extensions.ext_database import db
from libs.datetime_utils import naive_utc_now
from models import Account, Conversation, EndUser, Message, MessageFile
from models.enums import CreatorUserRole, MessageStatus
from models.enums import CreatorUserRole, MessageFileBelongsTo, MessageStatus
from models.execution_extra_content import HumanInputContent
from models.workflow import Workflow
@@ -939,7 +939,7 @@ class AdvancedChatAppGenerateTaskPipeline(GraphRuntimeStateSupport):
type=file["type"],
transfer_method=file["transfer_method"],
url=file["remote_url"],
belongs_to="assistant",
belongs_to=MessageFileBelongsTo.ASSISTANT,
upload_file_id=file["related_id"],
created_by_role=CreatorUserRole.ACCOUNT
if message.invoke_from in {InvokeFrom.EXPLORE, InvokeFrom.DEBUGGER}

View File

@@ -74,11 +74,22 @@ class AppGenerateResponseConverter(ABC):
for resource in metadata["retriever_resources"]:
updated_resources.append(
{
"dataset_id": resource.get("dataset_id"),
"dataset_name": resource.get("dataset_name"),
"document_id": resource.get("document_id"),
"segment_id": resource.get("segment_id", ""),
"position": resource["position"],
"data_source_type": resource.get("data_source_type"),
"document_name": resource["document_name"],
"score": resource["score"],
"hit_count": resource.get("hit_count"),
"word_count": resource.get("word_count"),
"segment_position": resource.get("segment_position"),
"index_node_hash": resource.get("index_node_hash"),
"content": resource["content"],
"page": resource.get("page"),
"title": resource.get("title"),
"files": resource.get("files"),
"summary": resource.get("summary"),
}
)

View File

@@ -40,7 +40,7 @@ from dify_graph.model_runtime.entities.message_entities import (
from dify_graph.model_runtime.entities.model_entities import ModelPropertyKey
from dify_graph.model_runtime.errors.invoke import InvokeBadRequestError
from extensions.ext_database import db
from models.enums import CreatorUserRole
from models.enums import CreatorUserRole, MessageFileBelongsTo
from models.model import App, AppMode, Message, MessageAnnotation, MessageFile
if TYPE_CHECKING:
@@ -419,7 +419,7 @@ class AppRunner:
message_id=message_id,
type=FileType.IMAGE,
transfer_method=FileTransferMethod.TOOL_FILE,
belongs_to="assistant",
belongs_to=MessageFileBelongsTo.ASSISTANT,
url=f"/files/tools/{tool_file.id}",
upload_file_id=tool_file.id,
created_by_role=(

View File

@@ -517,7 +517,7 @@ class WorkflowResponseConverter:
snapshot = self._pop_snapshot(event.node_execution_id)
start_at = snapshot.start_at if snapshot else event.start_at
finished_at = naive_utc_now()
finished_at = event.finished_at or naive_utc_now()
elapsed_time = (finished_at - start_at).total_seconds()
inputs, inputs_truncated = self._truncate_mapping(event.inputs)

View File

@@ -33,7 +33,7 @@ from extensions.ext_redis import get_pubsub_broadcast_channel
from libs.broadcast_channel.channel import Topic
from libs.datetime_utils import naive_utc_now
from models import Account
from models.enums import CreatorUserRole
from models.enums import ConversationFromSource, CreatorUserRole, MessageFileBelongsTo
from models.model import App, AppMode, AppModelConfig, Conversation, EndUser, Message, MessageFile
from services.errors.app_model_config import AppModelConfigBrokenError
from services.errors.conversation import ConversationNotExistsError
@@ -130,10 +130,10 @@ class MessageBasedAppGenerator(BaseAppGenerator):
end_user_id = None
account_id = None
if application_generate_entity.invoke_from in {InvokeFrom.WEB_APP, InvokeFrom.SERVICE_API}:
from_source = "api"
from_source = ConversationFromSource.API
end_user_id = application_generate_entity.user_id
else:
from_source = "console"
from_source = ConversationFromSource.CONSOLE
account_id = application_generate_entity.user_id
if isinstance(application_generate_entity, AdvancedChatAppGenerateEntity):
@@ -225,7 +225,7 @@ class MessageBasedAppGenerator(BaseAppGenerator):
message_id=message.id,
type=file.type,
transfer_method=file.transfer_method,
belongs_to="user",
belongs_to=MessageFileBelongsTo.USER,
url=file.remote_url,
upload_file_id=file.related_id,
created_by_role=(CreatorUserRole.ACCOUNT if account_id else CreatorUserRole.END_USER),

View File

@@ -705,7 +705,7 @@ class WorkflowAppGenerateTaskPipeline(GraphRuntimeStateSupport):
app_id=self._application_generate_entity.app_config.app_id,
workflow_id=self._workflow.id,
workflow_run_id=workflow_run_id,
created_from=created_from.value,
created_from=created_from,
created_by_role=self._created_by_role,
created_by=self._user_id,
)

View File

@@ -456,6 +456,7 @@ class WorkflowBasedAppRunner:
node_id=event.node_id,
node_type=event.node_type,
start_at=event.start_at,
finished_at=event.finished_at,
inputs=inputs,
process_data=process_data,
outputs=outputs,
@@ -471,6 +472,7 @@ class WorkflowBasedAppRunner:
node_id=event.node_id,
node_type=event.node_type,
start_at=event.start_at,
finished_at=event.finished_at,
inputs=event.node_run_result.inputs,
process_data=event.node_run_result.process_data,
outputs=event.node_run_result.outputs,
@@ -487,6 +489,7 @@ class WorkflowBasedAppRunner:
node_id=event.node_id,
node_type=event.node_type,
start_at=event.start_at,
finished_at=event.finished_at,
inputs=event.node_run_result.inputs,
process_data=event.node_run_result.process_data,
outputs=event.node_run_result.outputs,

View File

@@ -335,6 +335,7 @@ class QueueNodeSucceededEvent(AppQueueEvent):
in_loop_id: str | None = None
"""loop id if node is in loop"""
start_at: datetime
finished_at: datetime | None = None
inputs: Mapping[str, object] = Field(default_factory=dict)
process_data: Mapping[str, object] = Field(default_factory=dict)
@@ -390,6 +391,7 @@ class QueueNodeExceptionEvent(AppQueueEvent):
in_loop_id: str | None = None
"""loop id if node is in loop"""
start_at: datetime
finished_at: datetime | None = None
inputs: Mapping[str, object] = Field(default_factory=dict)
process_data: Mapping[str, object] = Field(default_factory=dict)
@@ -414,6 +416,7 @@ class QueueNodeFailedEvent(AppQueueEvent):
in_loop_id: str | None = None
"""loop id if node is in loop"""
start_at: datetime
finished_at: datetime | None = None
inputs: Mapping[str, object] = Field(default_factory=dict)
process_data: Mapping[str, object] = Field(default_factory=dict)

View File

@@ -4,9 +4,10 @@ from sqlalchemy import select
from core.app.entities.app_invoke_entities import InvokeFrom
from core.rag.datasource.vdb.vector_factory import Vector
from core.rag.index_processor.constant.index_type import IndexTechniqueType
from extensions.ext_database import db
from models.dataset import Dataset
from models.enums import CollectionBindingType
from models.enums import CollectionBindingType, ConversationFromSource
from models.model import App, AppAnnotationSetting, Message, MessageAnnotation
from services.annotation_service import AppAnnotationService
from services.dataset_service import DatasetCollectionBindingService
@@ -50,7 +51,7 @@ class AnnotationReplyFeature:
dataset = Dataset(
id=app_record.id,
tenant_id=app_record.tenant_id,
indexing_technique="high_quality",
indexing_technique=IndexTechniqueType.HIGH_QUALITY,
embedding_model_provider=embedding_provider_name,
embedding_model=embedding_model_name,
collection_binding_id=dataset_collection_binding.id,
@@ -68,9 +69,9 @@ class AnnotationReplyFeature:
annotation = AppAnnotationService.get_annotation_by_id(annotation_id)
if annotation:
if invoke_from in {InvokeFrom.SERVICE_API, InvokeFrom.WEB_APP}:
from_source = "api"
from_source = ConversationFromSource.API
else:
from_source = "console"
from_source = ConversationFromSource.CONSOLE
# insert annotation history
AppAnnotationService.add_annotation_history(

View File

@@ -19,6 +19,7 @@ class RateLimit:
_REQUEST_MAX_ALIVE_TIME = 10 * 60 # 10 minutes
_ACTIVE_REQUESTS_COUNT_FLUSH_INTERVAL = 5 * 60 # recalculate request_count from request_detail every 5 minutes
_instance_dict: dict[str, "RateLimit"] = {}
max_active_requests: int
def __new__(cls, client_id: str, max_active_requests: int):
if client_id not in cls._instance_dict:
@@ -27,7 +28,13 @@ class RateLimit:
return cls._instance_dict[client_id]
def __init__(self, client_id: str, max_active_requests: int):
flush_cache = hasattr(self, "max_active_requests") and self.max_active_requests != max_active_requests
self.max_active_requests = max_active_requests
# Only flush here if this instance has already been fully initialized,
# i.e. the Redis key attributes exist. Otherwise, rely on the flush at
# the end of initialization below.
if flush_cache and hasattr(self, "active_requests_key") and hasattr(self, "max_active_requests_key"):
self.flush_cache(use_local_value=True)
# must be called after max_active_requests is set
if self.disabled():
return
@@ -41,8 +48,6 @@ class RateLimit:
self.flush_cache(use_local_value=True)
def flush_cache(self, use_local_value=False):
if self.disabled():
return
self.last_recalculate_time = time.time()
# flush max active requests
if use_local_value or not redis_client.exists(self.max_active_requests_key):
@@ -50,7 +55,8 @@ class RateLimit:
else:
self.max_active_requests = int(redis_client.get(self.max_active_requests_key).decode("utf-8"))
redis_client.expire(self.max_active_requests_key, timedelta(days=1))
if self.disabled():
return
# flush max active requests (in-transit request list)
if not redis_client.exists(self.active_requests_key):
return

View File

@@ -6,16 +6,23 @@ from dify_graph.graph_events.graph import GraphRunPausedEvent
class SuspendLayer(GraphEngineLayer):
""" """
def __init__(self) -> None:
super().__init__()
self._paused = False
def on_graph_start(self):
pass
self._paused = False
def on_event(self, event: GraphEngineEvent):
"""
Handle the paused event, stash runtime state into storage and wait for resume.
"""
if isinstance(event, GraphRunPausedEvent):
pass
self._paused = True
def on_graph_end(self, error: Exception | None):
""" """
pass
self._paused = False
def is_paused(self) -> bool:
return self._paused

View File

@@ -34,6 +34,7 @@ from core.llm_generator.llm_generator import LLMGenerator
from core.tools.signature import sign_tool_file
from extensions.ext_database import db
from extensions.ext_redis import redis_client
from models.enums import MessageFileBelongsTo
from models.model import AppMode, Conversation, MessageAnnotation, MessageFile
from services.annotation_service import AppAnnotationService
@@ -233,7 +234,7 @@ class MessageCycleManager:
task_id=self._application_generate_entity.task_id,
id=message_file.id,
type=message_file.type,
belongs_to=message_file.belongs_to or "user",
belongs_to=message_file.belongs_to or MessageFileBelongsTo.USER,
url=url,
)

View File

@@ -128,14 +128,14 @@ class WorkflowPersistenceLayer(GraphEngineLayer):
self._handle_graph_run_paused(event)
return
if isinstance(event, NodeRunStartedEvent):
self._handle_node_started(event)
return
if isinstance(event, NodeRunRetryEvent):
self._handle_node_retry(event)
return
if isinstance(event, NodeRunStartedEvent):
self._handle_node_started(event)
return
if isinstance(event, NodeRunSucceededEvent):
self._handle_node_succeeded(event)
return
@@ -268,7 +268,12 @@ class WorkflowPersistenceLayer(GraphEngineLayer):
def _handle_node_succeeded(self, event: NodeRunSucceededEvent) -> None:
domain_execution = self._get_node_execution(event.id)
self._update_node_execution(domain_execution, event.node_run_result, WorkflowNodeExecutionStatus.SUCCEEDED)
self._update_node_execution(
domain_execution,
event.node_run_result,
WorkflowNodeExecutionStatus.SUCCEEDED,
finished_at=event.finished_at,
)
def _handle_node_failed(self, event: NodeRunFailedEvent) -> None:
domain_execution = self._get_node_execution(event.id)
@@ -277,6 +282,7 @@ class WorkflowPersistenceLayer(GraphEngineLayer):
event.node_run_result,
WorkflowNodeExecutionStatus.FAILED,
error=event.error,
finished_at=event.finished_at,
)
def _handle_node_exception(self, event: NodeRunExceptionEvent) -> None:
@@ -286,6 +292,7 @@ class WorkflowPersistenceLayer(GraphEngineLayer):
event.node_run_result,
WorkflowNodeExecutionStatus.EXCEPTION,
error=event.error,
finished_at=event.finished_at,
)
def _handle_node_pause_requested(self, event: NodeRunPauseRequestedEvent) -> None:
@@ -352,13 +359,14 @@ class WorkflowPersistenceLayer(GraphEngineLayer):
*,
error: str | None = None,
update_outputs: bool = True,
finished_at: datetime | None = None,
) -> None:
finished_at = naive_utc_now()
actual_finished_at = finished_at or naive_utc_now()
snapshot = self._node_snapshots.get(domain_execution.id)
start_at = snapshot.created_at if snapshot else domain_execution.created_at
domain_execution.status = status
domain_execution.finished_at = finished_at
domain_execution.elapsed_time = max((finished_at - start_at).total_seconds(), 0.0)
domain_execution.finished_at = actual_finished_at
domain_execution.elapsed_time = max((actual_finished_at - start_at).total_seconds(), 0.0)
if error:
domain_execution.error = error

View File

@@ -15,6 +15,7 @@ from configs import dify_config
from core.helper import ssrf_proxy
from extensions.ext_database import db
from extensions.ext_storage import storage
from extensions.storage.storage_type import StorageType
from models.enums import CreatorUserRole
from models.model import MessageFile, UploadFile
from models.tools import ToolFile
@@ -81,7 +82,7 @@ class DatasourceFileManager:
upload_file = UploadFile(
tenant_id=tenant_id,
storage_type=dify_config.STORAGE_TYPE,
storage_type=StorageType(dify_config.STORAGE_TYPE),
key=filepath,
name=present_filename,
size=len(file_binary),

View File

@@ -30,6 +30,7 @@ from dify_graph.model_runtime.model_providers.__base.ai_model import AIModel
from dify_graph.model_runtime.model_providers.model_provider_factory import ModelProviderFactory
from libs.datetime_utils import naive_utc_now
from models.engine import db
from models.enums import CredentialSourceType
from models.provider import (
LoadBalancingModelConfig,
Provider,
@@ -546,7 +547,7 @@ class ProviderConfiguration(BaseModel):
self._update_load_balancing_configs_with_credential(
credential_id=credential_id,
credential_record=credential_record,
credential_source="provider",
credential_source=CredentialSourceType.PROVIDER,
session=session,
)
except Exception:
@@ -623,7 +624,7 @@ class ProviderConfiguration(BaseModel):
LoadBalancingModelConfig.tenant_id == self.tenant_id,
LoadBalancingModelConfig.provider_name.in_(self._get_provider_names()),
LoadBalancingModelConfig.credential_id == credential_id,
LoadBalancingModelConfig.credential_source_type == "provider",
LoadBalancingModelConfig.credential_source_type == CredentialSourceType.PROVIDER,
)
lb_configs_using_credential = session.execute(lb_stmt).scalars().all()
try:
@@ -1043,7 +1044,7 @@ class ProviderConfiguration(BaseModel):
self._update_load_balancing_configs_with_credential(
credential_id=credential_id,
credential_record=credential_record,
credential_source="custom_model",
credential_source=CredentialSourceType.CUSTOM_MODEL,
session=session,
)
except Exception:
@@ -1073,7 +1074,7 @@ class ProviderConfiguration(BaseModel):
LoadBalancingModelConfig.tenant_id == self.tenant_id,
LoadBalancingModelConfig.provider_name.in_(self._get_provider_names()),
LoadBalancingModelConfig.credential_id == credential_id,
LoadBalancingModelConfig.credential_source_type == "custom_model",
LoadBalancingModelConfig.credential_source_type == CredentialSourceType.CUSTOM_MODEL,
)
lb_configs_using_credential = session.execute(lb_stmt).scalars().all()
@@ -1421,12 +1422,12 @@ class ProviderConfiguration(BaseModel):
preferred_model_provider = s.execute(stmt).scalars().first()
if preferred_model_provider:
preferred_model_provider.preferred_provider_type = provider_type.value
preferred_model_provider.preferred_provider_type = provider_type
else:
preferred_model_provider = TenantPreferredModelProvider(
tenant_id=self.tenant_id,
provider_name=self.provider.provider,
preferred_provider_type=provider_type.value,
preferred_provider_type=provider_type,
)
s.add(preferred_model_provider)
s.commit()
@@ -1711,7 +1712,7 @@ class ProviderConfiguration(BaseModel):
provider_model_lb_configs = [
config
for config in model_setting.load_balancing_configs
if config.credential_source_type != "custom_model"
if config.credential_source_type != CredentialSourceType.CUSTOM_MODEL
]
load_balancing_enabled = model_setting.load_balancing_enabled
@@ -1769,7 +1770,7 @@ class ProviderConfiguration(BaseModel):
custom_model_lb_configs = [
config
for config in model_setting.load_balancing_configs
if config.credential_source_type != "provider"
if config.credential_source_type != CredentialSourceType.PROVIDER
]
load_balancing_enabled = model_setting.load_balancing_enabled

View File

@@ -21,7 +21,7 @@ from core.rag.datasource.keyword.keyword_factory import Keyword
from core.rag.docstore.dataset_docstore import DatasetDocumentStore
from core.rag.extractor.entity.datasource_type import DatasourceType
from core.rag.extractor.entity.extract_setting import ExtractSetting, NotionInfo, WebsiteInfo
from core.rag.index_processor.constant.index_type import IndexStructureType
from core.rag.index_processor.constant.index_type import IndexStructureType, IndexTechniqueType
from core.rag.index_processor.index_processor_base import BaseIndexProcessor
from core.rag.index_processor.index_processor_factory import IndexProcessorFactory
from core.rag.models.document import ChildDocument, Document
@@ -271,7 +271,7 @@ class IndexingRunner:
doc_form: str | None = None,
doc_language: str = "English",
dataset_id: str | None = None,
indexing_technique: str = "economy",
indexing_technique: str = IndexTechniqueType.ECONOMY,
) -> IndexingEstimate:
"""
Estimate the indexing for the document.
@@ -289,7 +289,7 @@ class IndexingRunner:
dataset = db.session.query(Dataset).filter_by(id=dataset_id).first()
if not dataset:
raise ValueError("Dataset not found.")
if dataset.indexing_technique == "high_quality" or indexing_technique == "high_quality":
if IndexTechniqueType.HIGH_QUALITY in {dataset.indexing_technique, indexing_technique}:
if dataset.embedding_model_provider:
embedding_model_instance = self.model_manager.get_model_instance(
tenant_id=tenant_id,
@@ -303,7 +303,7 @@ class IndexingRunner:
model_type=ModelType.TEXT_EMBEDDING,
)
else:
if indexing_technique == "high_quality":
if indexing_technique == IndexTechniqueType.HIGH_QUALITY:
embedding_model_instance = self.model_manager.get_default_model_instance(
tenant_id=tenant_id,
model_type=ModelType.TEXT_EMBEDDING,
@@ -573,7 +573,7 @@ class IndexingRunner:
"""
embedding_model_instance = None
if dataset.indexing_technique == "high_quality":
if dataset.indexing_technique == IndexTechniqueType.HIGH_QUALITY:
embedding_model_instance = self.model_manager.get_model_instance(
tenant_id=dataset.tenant_id,
provider=dataset.embedding_model_provider,
@@ -587,7 +587,7 @@ class IndexingRunner:
create_keyword_thread = None
if (
dataset_document.doc_form != IndexStructureType.PARENT_CHILD_INDEX
and dataset.indexing_technique == "economy"
and dataset.indexing_technique == IndexTechniqueType.ECONOMY
):
# create keyword index
create_keyword_thread = threading.Thread(
@@ -597,7 +597,7 @@ class IndexingRunner:
create_keyword_thread.start()
max_workers = 10
if dataset.indexing_technique == "high_quality":
if dataset.indexing_technique == IndexTechniqueType.HIGH_QUALITY:
with concurrent.futures.ThreadPoolExecutor(max_workers=max_workers) as executor:
futures = []
@@ -628,7 +628,7 @@ class IndexingRunner:
tokens += future.result()
if (
dataset_document.doc_form != IndexStructureType.PARENT_CHILD_INDEX
and dataset.indexing_technique == "economy"
and dataset.indexing_technique == IndexTechniqueType.ECONOMY
and create_keyword_thread is not None
):
create_keyword_thread.join()
@@ -654,7 +654,7 @@ class IndexingRunner:
raise ValueError("no dataset found")
keyword = Keyword(dataset)
keyword.create(documents)
if dataset.indexing_technique != "high_quality":
if dataset.indexing_technique != IndexTechniqueType.HIGH_QUALITY:
document_ids = [document.metadata["doc_id"] for document in documents]
db.session.query(DocumentSegment).where(
DocumentSegment.document_id == document_id,
@@ -764,7 +764,7 @@ class IndexingRunner:
) -> list[Document]:
# get embedding model instance
embedding_model_instance = None
if dataset.indexing_technique == "high_quality":
if dataset.indexing_technique == IndexTechniqueType.HIGH_QUALITY:
if dataset.embedding_model_provider:
embedding_model_instance = self.model_manager.get_model_instance(
tenant_id=dataset.tenant_id,

View File

@@ -181,10 +181,6 @@ class ArizePhoenixDataTrace(BaseTraceInstance):
arize_phoenix_config: ArizeConfig | PhoenixConfig,
):
super().__init__(arize_phoenix_config)
import logging
logging.basicConfig()
logging.getLogger().setLevel(logging.DEBUG)
self.arize_phoenix_config = arize_phoenix_config
self.tracer, self.processor = setup_tracer(arize_phoenix_config)
self.project = arize_phoenix_config.project

View File

@@ -67,7 +67,8 @@ class WeaveTraceModel(WeaveTokenUsage, WeaveMultiModel):
if field_name == "inputs":
data = {
"messages": [
dict(msg, **{"usage_metadata": usage_metadata, "file_list": file_list}) for msg in v
dict(msg, **{"usage_metadata": usage_metadata, "file_list": file_list}) # type: ignore
for msg in v
]
if isinstance(v, list)
else v,

View File

@@ -209,8 +209,7 @@ class PluginInstaller(BasePluginClient):
"GET",
f"plugin/{tenant_id}/management/decode/from_identifier",
PluginDecodeResponse,
data={"plugin_unique_identifier": plugin_unique_identifier},
headers={"Content-Type": "application/json"},
params={"plugin_unique_identifier": plugin_unique_identifier},
)
def fetch_plugin_installation_by_ids(

View File

@@ -195,7 +195,7 @@ class ProviderManager:
preferred_provider_type_record = provider_name_to_preferred_model_provider_records_dict.get(provider_name)
if preferred_provider_type_record:
preferred_provider_type = ProviderType.value_of(preferred_provider_type_record.preferred_provider_type)
preferred_provider_type = preferred_provider_type_record.preferred_provider_type
elif dify_config.EDITION == "CLOUD" and system_configuration.enabled:
preferred_provider_type = ProviderType.SYSTEM
elif custom_configuration.provider or custom_configuration.models:
@@ -918,11 +918,11 @@ class ProviderManager:
trail_pool = CreditPoolService.get_pool(
tenant_id=tenant_id,
pool_type=ProviderQuotaType.TRIAL.value,
pool_type=ProviderQuotaType.TRIAL,
)
paid_pool = CreditPoolService.get_pool(
tenant_id=tenant_id,
pool_type=ProviderQuotaType.PAID.value,
pool_type=ProviderQuotaType.PAID,
)
else:
trail_pool = None

View File

@@ -1,9 +1,10 @@
import re
from typing import Any
class CleanProcessor:
@classmethod
def clean(cls, text: str, process_rule: dict) -> str:
def clean(cls, text: str, process_rule: dict[str, Any] | None) -> str:
# default clean
# remove invalid symbol
text = re.sub(r"<\|", "<", text)

View File

@@ -1,3 +1,5 @@
from typing_extensions import TypedDict
from core.model_manager import ModelInstance, ModelManager
from core.rag.data_post_processor.reorder import ReorderRunner
from core.rag.index_processor.constant.query_type import QueryType
@@ -10,6 +12,26 @@ from dify_graph.model_runtime.entities.model_entities import ModelType
from dify_graph.model_runtime.errors.invoke import InvokeAuthorizationError
class RerankingModelDict(TypedDict):
reranking_provider_name: str
reranking_model_name: str
class VectorSettingDict(TypedDict):
vector_weight: float
embedding_provider_name: str
embedding_model_name: str
class KeywordSettingDict(TypedDict):
keyword_weight: float
class WeightsDict(TypedDict):
vector_setting: VectorSettingDict
keyword_setting: KeywordSettingDict
class DataPostProcessor:
"""Interface for data post-processing document."""
@@ -17,8 +39,8 @@ class DataPostProcessor:
self,
tenant_id: str,
reranking_mode: str,
reranking_model: dict | None = None,
weights: dict | None = None,
reranking_model: RerankingModelDict | None = None,
weights: WeightsDict | None = None,
reorder_enabled: bool = False,
):
self.rerank_runner = self._get_rerank_runner(reranking_mode, tenant_id, reranking_model, weights)
@@ -45,8 +67,8 @@ class DataPostProcessor:
self,
reranking_mode: str,
tenant_id: str,
reranking_model: dict | None = None,
weights: dict | None = None,
reranking_model: RerankingModelDict | None = None,
weights: WeightsDict | None = None,
) -> BaseRerankRunner | None:
if reranking_mode == RerankMode.WEIGHTED_SCORE and weights:
runner = RerankRunnerFactory.create_rerank_runner(
@@ -79,12 +101,14 @@ class DataPostProcessor:
return ReorderRunner()
return None
def _get_rerank_model_instance(self, tenant_id: str, reranking_model: dict | None) -> ModelInstance | None:
def _get_rerank_model_instance(
self, tenant_id: str, reranking_model: RerankingModelDict | None
) -> ModelInstance | None:
if reranking_model:
try:
model_manager = ModelManager()
reranking_provider_name = reranking_model.get("reranking_provider_name")
reranking_model_name = reranking_model.get("reranking_model_name")
reranking_provider_name = reranking_model["reranking_provider_name"]
reranking_model_name = reranking_model["reranking_model_name"]
if not reranking_provider_name or not reranking_model_name:
return None
rerank_model_instance = model_manager.get_model_instance(

View File

@@ -4,6 +4,7 @@ from typing import Any
import orjson
from pydantic import BaseModel
from sqlalchemy import select
from typing_extensions import TypedDict
from configs import dify_config
from core.rag.datasource.keyword.jieba.jieba_keyword_table_handler import JiebaKeywordTableHandler
@@ -15,6 +16,11 @@ from extensions.ext_storage import storage
from models.dataset import Dataset, DatasetKeywordTable, DocumentSegment
class PreSegmentData(TypedDict):
segment: DocumentSegment
keywords: list[str]
class KeywordTableConfig(BaseModel):
max_keywords_per_chunk: int = 10
@@ -128,7 +134,7 @@ class Jieba(BaseKeyword):
file_key = "keyword_files/" + self.dataset.tenant_id + "/" + self.dataset.id + ".txt"
storage.delete(file_key)
def _save_dataset_keyword_table(self, keyword_table):
def _save_dataset_keyword_table(self, keyword_table: dict[str, set[str]] | None):
keyword_table_dict = {
"__type__": "keyword_table",
"__data__": {"index_id": self.dataset.id, "summary": None, "table": keyword_table},
@@ -144,7 +150,7 @@ class Jieba(BaseKeyword):
storage.delete(file_key)
storage.save(file_key, dumps_with_sets(keyword_table_dict).encode("utf-8"))
def _get_dataset_keyword_table(self) -> dict | None:
def _get_dataset_keyword_table(self) -> dict[str, set[str]] | None:
dataset_keyword_table = self.dataset.dataset_keyword_table
if dataset_keyword_table:
keyword_table_dict = dataset_keyword_table.keyword_table_dict
@@ -169,14 +175,16 @@ class Jieba(BaseKeyword):
return {}
def _add_text_to_keyword_table(self, keyword_table: dict, id: str, keywords: list[str]):
def _add_text_to_keyword_table(
self, keyword_table: dict[str, set[str]], id: str, keywords: list[str]
) -> dict[str, set[str]]:
for keyword in keywords:
if keyword not in keyword_table:
keyword_table[keyword] = set()
keyword_table[keyword].add(id)
return keyword_table
def _delete_ids_from_keyword_table(self, keyword_table: dict, ids: list[str]):
def _delete_ids_from_keyword_table(self, keyword_table: dict[str, set[str]], ids: list[str]) -> dict[str, set[str]]:
# get set of ids that correspond to node
node_idxs_to_delete = set(ids)
@@ -193,7 +201,7 @@ class Jieba(BaseKeyword):
return keyword_table
def _retrieve_ids_by_query(self, keyword_table: dict, query: str, k: int = 4):
def _retrieve_ids_by_query(self, keyword_table: dict[str, set[str]], query: str, k: int = 4) -> list[str]:
keyword_table_handler = JiebaKeywordTableHandler()
keywords = keyword_table_handler.extract_keywords(query)
@@ -228,7 +236,7 @@ class Jieba(BaseKeyword):
keyword_table = self._add_text_to_keyword_table(keyword_table or {}, node_id, keywords)
self._save_dataset_keyword_table(keyword_table)
def multi_create_segment_keywords(self, pre_segment_data_list: list):
def multi_create_segment_keywords(self, pre_segment_data_list: list[PreSegmentData]):
keyword_table_handler = JiebaKeywordTableHandler()
keyword_table = self._get_dataset_keyword_table()
for pre_segment_data in pre_segment_data_list:

View File

@@ -1,19 +1,20 @@
import concurrent.futures
import logging
from concurrent.futures import ThreadPoolExecutor
from typing import Any
from typing import Any, NotRequired
from flask import Flask, current_app
from sqlalchemy import select
from sqlalchemy.orm import Session, load_only
from typing_extensions import TypedDict
from configs import dify_config
from core.db.session_factory import session_factory
from core.model_manager import ModelManager
from core.rag.data_post_processor.data_post_processor import DataPostProcessor
from core.rag.data_post_processor.data_post_processor import DataPostProcessor, RerankingModelDict, WeightsDict
from core.rag.datasource.keyword.keyword_factory import Keyword
from core.rag.datasource.vdb.vector_factory import Vector
from core.rag.embedding.retrieval import RetrievalChildChunk, RetrievalSegments
from core.rag.embedding.retrieval import AttachmentInfoDict, RetrievalChildChunk, RetrievalSegments
from core.rag.entities.metadata_entities import MetadataCondition
from core.rag.index_processor.constant.doc_type import DocType
from core.rag.index_processor.constant.index_type import IndexStructureType
@@ -35,7 +36,49 @@ from models.dataset import Document as DatasetDocument
from models.model import UploadFile
from services.external_knowledge_service import ExternalDatasetService
default_retrieval_model = {
class SegmentAttachmentResult(TypedDict):
attachment_info: AttachmentInfoDict
segment_id: str
class SegmentAttachmentInfoResult(TypedDict):
attachment_id: str
attachment_info: AttachmentInfoDict
segment_id: str
class ChildChunkDetail(TypedDict):
id: str
content: str
position: int
score: float
class SegmentChildMapDetail(TypedDict):
max_score: float
child_chunks: list[ChildChunkDetail]
class SegmentRecord(TypedDict):
segment: DocumentSegment
score: NotRequired[float]
child_chunks: NotRequired[list[ChildChunkDetail]]
files: NotRequired[list[AttachmentInfoDict]]
class DefaultRetrievalModelDict(TypedDict):
search_method: RetrievalMethod
reranking_enable: bool
reranking_model: RerankingModelDict
reranking_mode: NotRequired[str]
weights: NotRequired[WeightsDict | None]
score_threshold: NotRequired[float]
top_k: int
score_threshold_enabled: bool
default_retrieval_model: DefaultRetrievalModelDict = {
"search_method": RetrievalMethod.SEMANTIC_SEARCH,
"reranking_enable": False,
"reranking_model": {"reranking_provider_name": "", "reranking_model_name": ""},
@@ -56,11 +99,11 @@ class RetrievalService:
query: str,
top_k: int = 4,
score_threshold: float | None = 0.0,
reranking_model: dict | None = None,
reranking_model: RerankingModelDict | None = None,
reranking_mode: str = "reranking_model",
weights: dict | None = None,
weights: WeightsDict | None = None,
document_ids_filter: list[str] | None = None,
attachment_ids: list | None = None,
attachment_ids: list[str] | None = None,
):
if not query and not attachment_ids:
return []
@@ -207,8 +250,8 @@ class RetrievalService:
dataset_id: str,
query: str,
top_k: int,
all_documents: list,
exceptions: list,
all_documents: list[Document],
exceptions: list[str],
document_ids_filter: list[str] | None = None,
):
with flask_app.app_context():
@@ -235,10 +278,10 @@ class RetrievalService:
query: str,
top_k: int,
score_threshold: float | None,
reranking_model: dict | None,
all_documents: list,
reranking_model: RerankingModelDict | None,
all_documents: list[Document],
retrieval_method: RetrievalMethod,
exceptions: list,
exceptions: list[str],
document_ids_filter: list[str] | None = None,
query_type: QueryType = QueryType.TEXT_QUERY,
):
@@ -277,8 +320,8 @@ class RetrievalService:
if documents:
if (
reranking_model
and reranking_model.get("reranking_model_name")
and reranking_model.get("reranking_provider_name")
and reranking_model["reranking_model_name"]
and reranking_model["reranking_provider_name"]
and retrieval_method == RetrievalMethod.SEMANTIC_SEARCH
):
data_post_processor = DataPostProcessor(
@@ -288,8 +331,8 @@ class RetrievalService:
model_manager = ModelManager()
is_support_vision = model_manager.check_model_support_vision(
tenant_id=dataset.tenant_id,
provider=reranking_model.get("reranking_provider_name") or "",
model=reranking_model.get("reranking_model_name") or "",
provider=reranking_model["reranking_provider_name"],
model=reranking_model["reranking_model_name"],
model_type=ModelType.RERANK,
)
if is_support_vision:
@@ -329,10 +372,10 @@ class RetrievalService:
query: str,
top_k: int,
score_threshold: float | None,
reranking_model: dict | None,
all_documents: list,
reranking_model: RerankingModelDict | None,
all_documents: list[Document],
retrieval_method: str,
exceptions: list,
exceptions: list[str],
document_ids_filter: list[str] | None = None,
):
with flask_app.app_context():
@@ -349,8 +392,8 @@ class RetrievalService:
if documents:
if (
reranking_model
and reranking_model.get("reranking_model_name")
and reranking_model.get("reranking_provider_name")
and reranking_model["reranking_model_name"]
and reranking_model["reranking_provider_name"]
and retrieval_method == RetrievalMethod.FULL_TEXT_SEARCH
):
data_post_processor = DataPostProcessor(
@@ -459,7 +502,7 @@ class RetrievalService:
segment_ids: list[str] = []
index_node_segments: list[DocumentSegment] = []
segments: list[DocumentSegment] = []
attachment_map: dict[str, list[dict[str, Any]]] = {}
attachment_map: dict[str, list[AttachmentInfoDict]] = {}
child_chunk_map: dict[str, list[ChildChunk]] = {}
doc_segment_map: dict[str, list[str]] = {}
segment_summary_map: dict[str, str] = {} # Map segment_id to summary content
@@ -544,12 +587,12 @@ class RetrievalService:
segment_summary_map[summary.chunk_id] = summary.summary_content
include_segment_ids = set()
segment_child_map: dict[str, dict[str, Any]] = {}
records: list[dict[str, Any]] = []
segment_child_map: dict[str, SegmentChildMapDetail] = {}
records: list[SegmentRecord] = []
for segment in segments:
child_chunks: list[ChildChunk] = child_chunk_map.get(segment.id, [])
attachment_infos: list[dict[str, Any]] = attachment_map.get(segment.id, [])
attachment_infos: list[AttachmentInfoDict] = attachment_map.get(segment.id, [])
ds_dataset_document: DatasetDocument | None = valid_dataset_documents.get(segment.document_id)
if ds_dataset_document and ds_dataset_document.doc_form == IndexStructureType.PARENT_CHILD_INDEX:
@@ -560,14 +603,14 @@ class RetrievalService:
max_score = summary_score_map.get(segment.id, 0.0)
if child_chunks or attachment_infos:
child_chunk_details = []
child_chunk_details: list[ChildChunkDetail] = []
for child_chunk in child_chunks:
child_document: Document | None = doc_to_document_map.get(child_chunk.index_node_id)
if child_document:
child_score = child_document.metadata.get("score", 0.0)
else:
child_score = 0.0
child_chunk_detail = {
child_chunk_detail: ChildChunkDetail = {
"id": child_chunk.id,
"content": child_chunk.content,
"position": child_chunk.position,
@@ -580,7 +623,7 @@ class RetrievalService:
if file_document:
max_score = max(max_score, file_document.metadata.get("score", 0.0))
map_detail = {
map_detail: SegmentChildMapDetail = {
"max_score": max_score,
"child_chunks": child_chunk_details,
}
@@ -593,7 +636,7 @@ class RetrievalService:
"max_score": summary_score,
"child_chunks": [],
}
record: dict[str, Any] = {
record: SegmentRecord = {
"segment": segment,
}
records.append(record)
@@ -617,19 +660,19 @@ class RetrievalService:
if file_doc:
max_score = max(max_score, file_doc.metadata.get("score", 0.0))
record = {
another_record: SegmentRecord = {
"segment": segment,
"score": max_score,
}
records.append(record)
records.append(another_record)
# Add child chunks information to records
for record in records:
if record["segment"].id in segment_child_map:
record["child_chunks"] = segment_child_map[record["segment"].id].get("child_chunks") # type: ignore
record["score"] = segment_child_map[record["segment"].id]["max_score"] # type: ignore
record["child_chunks"] = segment_child_map[record["segment"].id]["child_chunks"]
record["score"] = segment_child_map[record["segment"].id]["max_score"]
if record["segment"].id in attachment_map:
record["files"] = attachment_map[record["segment"].id] # type: ignore[assignment]
record["files"] = attachment_map[record["segment"].id]
result: list[RetrievalSegments] = []
for record in records:
@@ -693,9 +736,9 @@ class RetrievalService:
query: str | None = None,
top_k: int = 4,
score_threshold: float | None = 0.0,
reranking_model: dict | None = None,
reranking_model: RerankingModelDict | None = None,
reranking_mode: str = "reranking_model",
weights: dict | None = None,
weights: WeightsDict | None = None,
document_ids_filter: list[str] | None = None,
attachment_id: str | None = None,
):
@@ -807,7 +850,7 @@ class RetrievalService:
@classmethod
def get_segment_attachment_info(
cls, dataset_id: str, tenant_id: str, attachment_id: str, session: Session
) -> dict[str, Any] | None:
) -> SegmentAttachmentResult | None:
upload_file = session.query(UploadFile).where(UploadFile.id == attachment_id).first()
if upload_file:
attachment_binding = (
@@ -816,7 +859,7 @@ class RetrievalService:
.first()
)
if attachment_binding:
attachment_info = {
attachment_info: AttachmentInfoDict = {
"id": upload_file.id,
"name": upload_file.name,
"extension": "." + upload_file.extension,
@@ -828,8 +871,10 @@ class RetrievalService:
return None
@classmethod
def get_segment_attachment_infos(cls, attachment_ids: list[str], session: Session) -> list[dict[str, Any]]:
attachment_infos = []
def get_segment_attachment_infos(
cls, attachment_ids: list[str], session: Session
) -> list[SegmentAttachmentInfoResult]:
attachment_infos: list[SegmentAttachmentInfoResult] = []
upload_files = session.query(UploadFile).where(UploadFile.id.in_(attachment_ids)).all()
if upload_files:
upload_file_ids = [upload_file.id for upload_file in upload_files]
@@ -843,7 +888,7 @@ class RetrievalService:
if attachment_bindings:
for upload_file in upload_files:
attachment_binding = attachment_binding_map.get(upload_file.id)
attachment_info = {
info: AttachmentInfoDict = {
"id": upload_file.id,
"name": upload_file.name,
"extension": "." + upload_file.extension,
@@ -855,7 +900,7 @@ class RetrievalService:
attachment_infos.append(
{
"attachment_id": attachment_binding.attachment_id,
"attachment_info": attachment_info,
"attachment_info": info,
"segment_id": attachment_binding.segment_id,
}
)

View File

@@ -13,6 +13,7 @@ from pymochow.exception import ServerError # type: ignore
from pymochow.model.database import Database
from pymochow.model.enum import FieldType, IndexState, IndexType, MetricType, ServerErrCode, TableState # type: ignore
from pymochow.model.schema import (
AutoBuildRowCountIncrement,
Field,
FilteringIndex,
HNSWParams,
@@ -51,6 +52,9 @@ class BaiduConfig(BaseModel):
replicas: int = 3
inverted_index_analyzer: str = "DEFAULT_ANALYZER"
inverted_index_parser_mode: str = "COARSE_MODE"
auto_build_row_count_increment: int = 500
auto_build_row_count_increment_ratio: float = 0.05
rebuild_index_timeout_in_seconds: int = 300
@model_validator(mode="before")
@classmethod
@@ -107,18 +111,6 @@ class BaiduVector(BaseVector):
rows.append(row)
table.upsert(rows=rows)
# rebuild vector index after upsert finished
table.rebuild_index(self.vector_index)
timeout = 3600 # 1 hour timeout
start_time = time.time()
while True:
time.sleep(1)
index = table.describe_index(self.vector_index)
if index.state == IndexState.NORMAL:
break
if time.time() - start_time > timeout:
raise TimeoutError(f"Index rebuild timeout after {timeout} seconds")
def text_exists(self, id: str) -> bool:
res = self._db.table(self._collection_name).query(primary_key={VDBField.PRIMARY_KEY: id})
if res and res.code == 0:
@@ -232,8 +224,14 @@ class BaiduVector(BaseVector):
return self._client.database(self._client_config.database)
def _table_existed(self) -> bool:
tables = self._db.list_table()
return any(table.table_name == self._collection_name for table in tables)
try:
table = self._db.table(self._collection_name)
except ServerError as e:
if e.code == ServerErrCode.TABLE_NOT_EXIST:
return False
else:
raise
return True
def _create_table(self, dimension: int):
# Try to grab distributed lock and create table
@@ -287,6 +285,11 @@ class BaiduVector(BaseVector):
field=VDBField.VECTOR,
metric_type=metric_type,
params=HNSWParams(m=16, efconstruction=200),
auto_build=True,
auto_build_index_policy=AutoBuildRowCountIncrement(
row_count_increment=self._client_config.auto_build_row_count_increment,
row_count_increment_ratio=self._client_config.auto_build_row_count_increment_ratio,
),
)
)
@@ -335,7 +338,7 @@ class BaiduVector(BaseVector):
)
# Wait for table created
timeout = 300 # 5 minutes timeout
timeout = self._client_config.rebuild_index_timeout_in_seconds # default 5 minutes timeout
start_time = time.time()
while True:
time.sleep(1)
@@ -345,6 +348,20 @@ class BaiduVector(BaseVector):
if time.time() - start_time > timeout:
raise TimeoutError(f"Table creation timeout after {timeout} seconds")
redis_client.set(table_exist_cache_key, 1, ex=3600)
# rebuild vector index immediately after table created, make sure index is ready
table.rebuild_index(self.vector_index)
timeout = 3600 # 1 hour timeout
self._wait_for_index_ready(table, timeout)
def _wait_for_index_ready(self, table, timeout: int = 3600):
start_time = time.time()
while True:
time.sleep(1)
index = table.describe_index(self.vector_index)
if index.state == IndexState.NORMAL:
break
if time.time() - start_time > timeout:
raise TimeoutError(f"Index rebuild timeout after {timeout} seconds")
class BaiduVectorFactory(AbstractVectorFactory):
@@ -369,5 +386,8 @@ class BaiduVectorFactory(AbstractVectorFactory):
replicas=dify_config.BAIDU_VECTOR_DB_REPLICAS,
inverted_index_analyzer=dify_config.BAIDU_VECTOR_DB_INVERTED_INDEX_ANALYZER,
inverted_index_parser_mode=dify_config.BAIDU_VECTOR_DB_INVERTED_INDEX_PARSER_MODE,
auto_build_row_count_increment=dify_config.BAIDU_VECTOR_DB_AUTO_BUILD_ROW_COUNT_INCREMENT,
auto_build_row_count_increment_ratio=dify_config.BAIDU_VECTOR_DB_AUTO_BUILD_ROW_COUNT_INCREMENT_RATIO,
rebuild_index_timeout_in_seconds=dify_config.BAIDU_VECTOR_DB_REBUILD_INDEX_TIMEOUT_IN_SECONDS,
),
)

View File

@@ -124,13 +124,13 @@ class HuaweiCloudVector(BaseVector):
)
)
score_threshold = float(kwargs.get("score_threshold") or 0.0)
docs = []
for doc, score in docs_and_scores:
score_threshold = float(kwargs.get("score_threshold") or 0.0)
if score >= score_threshold:
if doc.metadata is not None:
doc.metadata["score"] = score
docs.append(doc)
docs.append(doc)
return docs

View File

@@ -33,6 +33,7 @@ from core.rag.models.document import Document
from extensions.ext_database import db
from extensions.ext_redis import redis_client
from models.dataset import Dataset, TidbAuthBinding
from models.enums import TidbAuthBindingStatus
if TYPE_CHECKING:
from qdrant_client import grpc # noqa
@@ -284,27 +285,29 @@ class TidbOnQdrantVector(BaseVector):
from qdrant_client.http import models
from qdrant_client.http.exceptions import UnexpectedResponse
for node_id in ids:
try:
filter = models.Filter(
must=[
models.FieldCondition(
key="metadata.doc_id",
match=models.MatchValue(value=node_id),
),
],
)
self._client.delete(
collection_name=self._collection_name,
points_selector=FilterSelector(filter=filter),
)
except UnexpectedResponse as e:
# Collection does not exist, so return
if e.status_code == 404:
return
# Some other error occurred, so re-raise the exception
else:
raise e
if not ids:
return
try:
filter = models.Filter(
must=[
models.FieldCondition(
key="metadata.doc_id",
match=models.MatchAny(any=ids),
),
],
)
self._client.delete(
collection_name=self._collection_name,
points_selector=FilterSelector(filter=filter),
)
except UnexpectedResponse as e:
# Collection does not exist, so return
if e.status_code == 404:
return
# Some other error occurred, so re-raise the exception
else:
raise e
def text_exists(self, id: str) -> bool:
all_collection_name = []
@@ -450,7 +453,7 @@ class TidbOnQdrantVectorFactory(AbstractVectorFactory):
password=new_cluster["password"],
tenant_id=dataset.tenant_id,
active=True,
status="ACTIVE",
status=TidbAuthBindingStatus.ACTIVE,
)
db.session.add(new_tidb_auth_binding)
db.session.commit()

View File

@@ -9,6 +9,7 @@ from configs import dify_config
from extensions.ext_database import db
from extensions.ext_redis import redis_client
from models.dataset import TidbAuthBinding
from models.enums import TidbAuthBindingStatus
class TidbService:
@@ -170,7 +171,7 @@ class TidbService:
userPrefix = item["userPrefix"]
if state == "ACTIVE" and len(userPrefix) > 0:
cluster_info = tidb_serverless_list_map[item["clusterId"]]
cluster_info.status = "ACTIVE"
cluster_info.status = TidbAuthBindingStatus.ACTIVE
cluster_info.account = f"{userPrefix}.root"
db.session.add(cluster_info)
db.session.commit()

View File

@@ -5,6 +5,7 @@ This module provides integration with Weaviate vector database for storing and r
document embeddings used in retrieval-augmented generation workflows.
"""
import atexit
import datetime
import json
import logging
@@ -37,6 +38,32 @@ _weaviate_client: weaviate.WeaviateClient | None = None
_weaviate_client_lock = threading.Lock()
def _shutdown_weaviate_client() -> None:
"""
Best-effort shutdown hook to close the module-level Weaviate client.
This is registered with atexit so that HTTP/gRPC resources are released
when the Python interpreter exits.
"""
global _weaviate_client
# Ensure thread-safety when accessing the shared client instance
with _weaviate_client_lock:
client = _weaviate_client
_weaviate_client = None
if client is not None:
try:
client.close()
except Exception:
# Best-effort cleanup; log at debug level and ignore errors.
logger.debug("Failed to close Weaviate client during shutdown", exc_info=True)
# Register the shutdown hook once per process.
atexit.register(_shutdown_weaviate_client)
class WeaviateConfig(BaseModel):
"""
Configuration model for Weaviate connection settings.
@@ -85,18 +112,6 @@ class WeaviateVector(BaseVector):
self._client = self._init_client(config)
self._attributes = attributes
def __del__(self):
"""
Destructor to properly close the Weaviate client connection.
Prevents connection leaks and resource warnings.
"""
if hasattr(self, "_client") and self._client is not None:
try:
self._client.close()
except Exception as e:
# Ignore errors during cleanup as object is being destroyed
logger.warning("Error closing Weaviate client %s", e, exc_info=True)
def _init_client(self, config: WeaviateConfig) -> weaviate.WeaviateClient:
"""
Initializes and returns a connected Weaviate client.

View File

@@ -6,6 +6,7 @@ from typing import Any
from sqlalchemy import func, select
from core.model_manager import ModelManager
from core.rag.index_processor.constant.index_type import IndexTechniqueType
from core.rag.models.document import AttachmentDocument, Document
from dify_graph.model_runtime.entities.model_entities import ModelType
from extensions.ext_database import db
@@ -71,7 +72,7 @@ class DatasetDocumentStore:
if max_position is None:
max_position = 0
embedding_model = None
if self._dataset.indexing_technique == "high_quality":
if self._dataset.indexing_technique == IndexTechniqueType.HIGH_QUALITY:
model_manager = ModelManager()
embedding_model = model_manager.get_model_instance(
tenant_id=self._dataset.tenant_id,

View File

@@ -1,8 +1,18 @@
from pydantic import BaseModel
from typing_extensions import TypedDict
from models.dataset import DocumentSegment
class AttachmentInfoDict(TypedDict):
id: str
name: str
extension: str
mime_type: str
source_url: str
size: int
class RetrievalChildChunk(BaseModel):
"""Retrieval segments."""
@@ -19,5 +29,5 @@ class RetrievalSegments(BaseModel):
segment: DocumentSegment
child_chunks: list[RetrievalChildChunk] | None = None
score: float | None = None
files: list[dict[str, str | int]] | None = None
files: list[AttachmentInfoDict] | None = None
summary: str | None = None # Summary content if retrieved via summary index

View File

@@ -1,12 +1,38 @@
import json
import time
from typing import Any, cast
from typing import Any, NotRequired, cast
import httpx
from typing_extensions import TypedDict
from extensions.ext_storage import storage
class FirecrawlDocumentData(TypedDict):
title: str | None
description: str | None
source_url: str | None
markdown: str | None
class CrawlStatusResponse(TypedDict):
status: str
total: int | None
current: int | None
data: list[FirecrawlDocumentData]
class MapResponse(TypedDict):
success: bool
links: list[str]
class SearchResponse(TypedDict):
success: bool
data: list[dict[str, Any]]
warning: NotRequired[str]
class FirecrawlApp:
def __init__(self, api_key=None, base_url=None):
self.api_key = api_key
@@ -14,7 +40,7 @@ class FirecrawlApp:
if self.api_key is None and self.base_url == "https://api.firecrawl.dev":
raise ValueError("No API key provided")
def scrape_url(self, url, params=None) -> dict[str, Any]:
def scrape_url(self, url, params=None) -> FirecrawlDocumentData:
# Documentation: https://docs.firecrawl.dev/api-reference/endpoint/scrape
headers = self._prepare_headers()
json_data = {
@@ -32,9 +58,7 @@ class FirecrawlApp:
return self._extract_common_fields(data)
elif response.status_code in {402, 409, 500, 429, 408}:
self._handle_error(response, "scrape URL")
return {} # Avoid additional exception after handling error
else:
raise Exception(f"Failed to scrape URL. Status code: {response.status_code}")
raise Exception(f"Failed to scrape URL. Status code: {response.status_code}")
def crawl_url(self, url, params=None) -> str:
# Documentation: https://docs.firecrawl.dev/api-reference/endpoint/crawl-post
@@ -51,7 +75,7 @@ class FirecrawlApp:
self._handle_error(response, "start crawl job")
return "" # unreachable
def map(self, url: str, params: dict[str, Any] | None = None) -> dict[str, Any]:
def map(self, url: str, params: dict[str, Any] | None = None) -> MapResponse:
# Documentation: https://docs.firecrawl.dev/api-reference/endpoint/map
headers = self._prepare_headers()
json_data: dict[str, Any] = {"url": url, "integration": "dify"}
@@ -60,28 +84,22 @@ class FirecrawlApp:
json_data.update(params)
response = self._post_request(self._build_url("v2/map"), json_data, headers)
if response.status_code == 200:
return cast(dict[str, Any], response.json())
return cast(MapResponse, response.json())
elif response.status_code in {402, 409, 500, 429, 408}:
self._handle_error(response, "start map job")
return {}
else:
raise Exception(f"Failed to start map job. Status code: {response.status_code}")
raise Exception(f"Failed to start map job. Status code: {response.status_code}")
def check_crawl_status(self, job_id) -> dict[str, Any]:
def check_crawl_status(self, job_id) -> CrawlStatusResponse:
headers = self._prepare_headers()
response = self._get_request(self._build_url(f"v2/crawl/{job_id}"), headers)
if response.status_code == 200:
crawl_status_response = response.json()
if crawl_status_response.get("status") == "completed":
total = crawl_status_response.get("total", 0)
if total == 0:
# Normalize to avoid None bypassing the zero-guard when the API returns null.
total = crawl_status_response.get("total") or 0
if total <= 0:
raise Exception("Failed to check crawl status. Error: No page found")
data = crawl_status_response.get("data", [])
url_data_list = []
for item in data:
if isinstance(item, dict) and "metadata" in item and "markdown" in item:
url_data = self._extract_common_fields(item)
url_data_list.append(url_data)
url_data_list = self._collect_all_crawl_pages(crawl_status_response, headers)
if url_data_list:
file_key = "website_files/" + job_id + ".txt"
try:
@@ -95,13 +113,45 @@ class FirecrawlApp:
return self._format_crawl_status_response(
crawl_status_response.get("status"), crawl_status_response, []
)
else:
self._handle_error(response, "check crawl status")
return {} # unreachable
self._handle_error(response, "check crawl status")
raise RuntimeError("unreachable: _handle_error always raises")
def _collect_all_crawl_pages(
self, first_page: dict[str, Any], headers: dict[str, str]
) -> list[FirecrawlDocumentData]:
"""Collect all crawl result pages by following pagination links.
Raises an exception if any paginated request fails, to avoid returning
partial data that is inconsistent with the reported total.
The number of pages processed is capped at ``total`` (the
server-reported page count) to guard against infinite loops caused by
a misbehaving server that keeps returning a ``next`` URL.
"""
total: int = first_page.get("total") or 0
url_data_list: list[FirecrawlDocumentData] = []
current_page = first_page
pages_processed = 0
while True:
for item in current_page.get("data", []):
if isinstance(item, dict) and "metadata" in item and "markdown" in item:
url_data_list.append(self._extract_common_fields(item))
next_url: str | None = current_page.get("next")
pages_processed += 1
if not next_url or pages_processed >= total:
break
response = self._get_request(next_url, headers)
if response.status_code != 200:
self._handle_error(response, "fetch next crawl page")
current_page = response.json()
return url_data_list
def _format_crawl_status_response(
self, status: str, crawl_status_response: dict[str, Any], url_data_list: list[dict[str, Any]]
) -> dict[str, Any]:
self,
status: str,
crawl_status_response: dict[str, Any],
url_data_list: list[FirecrawlDocumentData],
) -> CrawlStatusResponse:
return {
"status": status,
"total": crawl_status_response.get("total"),
@@ -109,7 +159,7 @@ class FirecrawlApp:
"data": url_data_list,
}
def _extract_common_fields(self, item: dict[str, Any]) -> dict[str, Any]:
def _extract_common_fields(self, item: dict[str, Any]) -> FirecrawlDocumentData:
return {
"title": item.get("metadata", {}).get("title"),
"description": item.get("metadata", {}).get("description"),
@@ -117,7 +167,7 @@ class FirecrawlApp:
"markdown": item.get("markdown"),
}
def _prepare_headers(self) -> dict[str, Any]:
def _prepare_headers(self) -> dict[str, str]:
return {"Content-Type": "application/json", "Authorization": f"Bearer {self.api_key}"}
def _build_url(self, path: str) -> str:
@@ -150,10 +200,10 @@ class FirecrawlApp:
error_message = response.text or "Unknown error occurred"
raise Exception(f"Failed to {action}. Status code: {response.status_code}. Error: {error_message}") # type: ignore[return]
def search(self, query: str, params: dict[str, Any] | None = None) -> dict[str, Any]:
def search(self, query: str, params: dict[str, Any] | None = None) -> SearchResponse:
# Documentation: https://docs.firecrawl.dev/api-reference/endpoint/search
headers = self._prepare_headers()
json_data = {
json_data: dict[str, Any] = {
"query": query,
"limit": 5,
"lang": "en",
@@ -170,12 +220,10 @@ class FirecrawlApp:
json_data.update(params)
response = self._post_request(self._build_url("v2/search"), json_data, headers)
if response.status_code == 200:
response_data = response.json()
response_data: SearchResponse = response.json()
if not response_data.get("success"):
raise Exception(f"Search failed. Error: {response_data.get('warning', 'Unknown error')}")
return cast(dict[str, Any], response_data)
return response_data
elif response.status_code in {402, 409, 500, 429, 408}:
self._handle_error(response, "perform search")
return {} # Avoid additional exception after handling error
else:
raise Exception(f"Failed to perform search. Status code: {response.status_code}")
raise Exception(f"Failed to perform search. Status code: {response.status_code}")

View File

@@ -15,6 +15,7 @@ from core.rag.extractor.extractor_base import BaseExtractor
from core.rag.models.document import Document
from extensions.ext_database import db
from extensions.ext_storage import storage
from extensions.storage.storage_type import StorageType
from libs.datetime_utils import naive_utc_now
from models.enums import CreatorUserRole
from models.model import UploadFile
@@ -150,7 +151,7 @@ class PdfExtractor(BaseExtractor):
# save file to db
upload_file = UploadFile(
tenant_id=self._tenant_id,
storage_type=dify_config.STORAGE_TYPE,
storage_type=StorageType(dify_config.STORAGE_TYPE),
key=file_key,
name=file_key,
size=len(img_bytes),

View File

@@ -1,10 +1,11 @@
import json
from collections.abc import Generator
from typing import Union
from typing import Any, Union
from urllib.parse import urljoin
import httpx
from httpx import Response
from typing_extensions import TypedDict
from core.rag.extractor.watercrawl.exceptions import (
WaterCrawlAuthenticationError,
@@ -13,6 +14,27 @@ from core.rag.extractor.watercrawl.exceptions import (
)
class SpiderOptions(TypedDict):
max_depth: int
page_limit: int
allowed_domains: list[str]
exclude_paths: list[str]
include_paths: list[str]
class PageOptions(TypedDict):
exclude_tags: list[str]
include_tags: list[str]
wait_time: int
include_html: bool
only_main_content: bool
include_links: bool
timeout: int
accept_cookies_selector: str
locale: str
actions: list[Any]
class BaseAPIClient:
def __init__(self, api_key, base_url):
self.api_key = api_key
@@ -121,9 +143,9 @@ class WaterCrawlAPIClient(BaseAPIClient):
def create_crawl_request(
self,
url: Union[list, str] | None = None,
spider_options: dict | None = None,
page_options: dict | None = None,
plugin_options: dict | None = None,
spider_options: SpiderOptions | None = None,
page_options: PageOptions | None = None,
plugin_options: dict[str, Any] | None = None,
):
data = {
# 'urls': url if isinstance(url, list) else [url],
@@ -176,8 +198,8 @@ class WaterCrawlAPIClient(BaseAPIClient):
def scrape_url(
self,
url: str,
page_options: dict | None = None,
plugin_options: dict | None = None,
page_options: PageOptions | None = None,
plugin_options: dict[str, Any] | None = None,
sync: bool = True,
prefetched: bool = True,
):

View File

@@ -2,16 +2,39 @@ from collections.abc import Generator
from datetime import datetime
from typing import Any
from core.rag.extractor.watercrawl.client import WaterCrawlAPIClient
from typing_extensions import TypedDict
from core.rag.extractor.watercrawl.client import PageOptions, SpiderOptions, WaterCrawlAPIClient
class WatercrawlDocumentData(TypedDict):
title: str | None
description: str | None
source_url: str | None
markdown: str | None
class CrawlJobResponse(TypedDict):
status: str
job_id: str | None
class WatercrawlCrawlStatusResponse(TypedDict):
status: str
job_id: str | None
total: int
current: int
data: list[WatercrawlDocumentData]
time_consuming: float
class WaterCrawlProvider:
def __init__(self, api_key, base_url: str | None = None):
self.client = WaterCrawlAPIClient(api_key, base_url)
def crawl_url(self, url, options: dict | Any | None = None):
def crawl_url(self, url: str, options: dict[str, Any] | None = None) -> CrawlJobResponse:
options = options or {}
spider_options = {
spider_options: SpiderOptions = {
"max_depth": 1,
"page_limit": 1,
"allowed_domains": [],
@@ -25,7 +48,7 @@ class WaterCrawlProvider:
spider_options["exclude_paths"] = options.get("excludes", "").split(",") if options.get("excludes") else []
wait_time = options.get("wait_time", 1000)
page_options = {
page_options: PageOptions = {
"exclude_tags": options.get("exclude_tags", "").split(",") if options.get("exclude_tags") else [],
"include_tags": options.get("include_tags", "").split(",") if options.get("include_tags") else [],
"wait_time": max(1000, wait_time), # minimum wait time is 1 second
@@ -41,9 +64,9 @@ class WaterCrawlProvider:
return {"status": "active", "job_id": result.get("uuid")}
def get_crawl_status(self, crawl_request_id):
def get_crawl_status(self, crawl_request_id: str) -> WatercrawlCrawlStatusResponse:
response = self.client.get_crawl_request(crawl_request_id)
data = []
data: list[WatercrawlDocumentData] = []
if response["status"] in ["new", "running"]:
status = "active"
else:
@@ -67,7 +90,7 @@ class WaterCrawlProvider:
"time_consuming": time_consuming,
}
def get_crawl_url_data(self, job_id, url) -> dict | None:
def get_crawl_url_data(self, job_id: str, url: str) -> WatercrawlDocumentData | None:
if not job_id:
return self.scrape_url(url)
@@ -82,11 +105,11 @@ class WaterCrawlProvider:
return None
def scrape_url(self, url: str):
def scrape_url(self, url: str) -> WatercrawlDocumentData:
response = self.client.scrape_url(url=url, sync=True, prefetched=True)
return self._structure_data(response)
def _structure_data(self, result_object: dict):
def _structure_data(self, result_object: dict[str, Any]) -> WatercrawlDocumentData:
if isinstance(result_object.get("result", {}), str):
raise ValueError("Invalid result object. Expected a dictionary.")
@@ -98,7 +121,9 @@ class WaterCrawlProvider:
"markdown": result_object.get("result", {}).get("markdown"),
}
def _get_results(self, crawl_request_id: str, query_params: dict | None = None) -> Generator[dict, None, None]:
def _get_results(
self, crawl_request_id: str, query_params: dict | None = None
) -> Generator[WatercrawlDocumentData, None, None]:
page = 0
page_size = 100

View File

@@ -21,6 +21,7 @@ from core.rag.extractor.extractor_base import BaseExtractor
from core.rag.models.document import Document
from extensions.ext_database import db
from extensions.ext_storage import storage
from extensions.storage.storage_type import StorageType
from libs.datetime_utils import naive_utc_now
from models.enums import CreatorUserRole
from models.model import UploadFile
@@ -112,7 +113,7 @@ class WordExtractor(BaseExtractor):
# save file to db
upload_file = UploadFile(
tenant_id=self.tenant_id,
storage_type=dify_config.STORAGE_TYPE,
storage_type=StorageType(dify_config.STORAGE_TYPE),
key=file_key,
name=file_key,
size=0,
@@ -140,7 +141,7 @@ class WordExtractor(BaseExtractor):
# save file to db
upload_file = UploadFile(
tenant_id=self.tenant_id,
storage_type=dify_config.STORAGE_TYPE,
storage_type=StorageType(dify_config.STORAGE_TYPE),
key=file_key,
name=file_key,
size=0,
@@ -365,7 +366,7 @@ class WordExtractor(BaseExtractor):
paragraph_content = []
# State for legacy HYPERLINK fields
hyperlink_field_url = None
hyperlink_field_text_parts: list = []
hyperlink_field_text_parts: list[str] = []
is_collecting_field_text = False
# Iterate through paragraph elements in document order
for child in paragraph._element:

View File

@@ -9,6 +9,8 @@ from flask import current_app
from sqlalchemy import delete, func, select
from core.db.session_factory import session_factory
from core.rag.index_processor.constant.index_type import IndexTechniqueType
from core.rag.index_processor.index_processor_base import SummaryIndexSettingDict
from core.workflow.nodes.knowledge_index.exc import KnowledgeIndexNodeError
from core.workflow.nodes.knowledge_index.protocols import Preview, PreviewItem, QaPreview
from models.dataset import Dataset, Document, DocumentSegment
@@ -51,7 +53,7 @@ class IndexProcessor:
original_document_id: str,
chunks: Mapping[str, Any],
batch: Any,
summary_index_setting: dict | None = None,
summary_index_setting: SummaryIndexSettingDict | None = None,
):
with session_factory.create_session() as session:
document = session.query(Document).filter_by(id=document_id).first()
@@ -131,7 +133,12 @@ class IndexProcessor:
}
def get_preview_output(
self, chunks: Any, dataset_id: str, document_id: str, chunk_structure: str, summary_index_setting: dict | None
self,
chunks: Any,
dataset_id: str,
document_id: str,
chunk_structure: str,
summary_index_setting: SummaryIndexSettingDict | None,
) -> Preview:
doc_language = None
with session_factory.create_session() as session:
@@ -153,7 +160,7 @@ class IndexProcessor:
tenant_id = dataset.tenant_id
preview_output = self.format_preview(chunk_structure, chunks)
if indexing_technique != "high_quality":
if indexing_technique != IndexTechniqueType.HIGH_QUALITY:
return preview_output
if not summary_index_setting or not summary_index_setting.get("enable"):

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