mirror of
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Compare commits
4 Commits
feat/upgra
...
fix/aws-s3
| Author | SHA1 | Date | |
|---|---|---|---|
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cc53c9004a | ||
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0e33a3aa5f | ||
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d3895bcd6b | ||
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eeb390650b |
3
.github/workflows/api-tests.yml
vendored
3
.github/workflows/api-tests.yml
vendored
@@ -26,9 +26,6 @@ jobs:
|
||||
steps:
|
||||
- name: Checkout code
|
||||
uses: actions/checkout@v4
|
||||
with:
|
||||
fetch-depth: 0
|
||||
persist-credentials: false
|
||||
|
||||
- name: Setup Poetry and Python ${{ matrix.python-version }}
|
||||
uses: ./.github/actions/setup-poetry
|
||||
|
||||
16
.github/workflows/build-push.yml
vendored
16
.github/workflows/build-push.yml
vendored
@@ -5,6 +5,7 @@ on:
|
||||
branches:
|
||||
- "main"
|
||||
- "deploy/dev"
|
||||
- "release/0.15.3-fix1"
|
||||
release:
|
||||
types: [published]
|
||||
|
||||
@@ -79,12 +80,10 @@ jobs:
|
||||
cache-to: type=gha,mode=max,scope=${{ matrix.service_name }}
|
||||
|
||||
- name: Export digest
|
||||
env:
|
||||
DIGEST: ${{ steps.build.outputs.digest }}
|
||||
run: |
|
||||
mkdir -p /tmp/digests
|
||||
sanitized_digest=${DIGEST#sha256:}
|
||||
touch "/tmp/digests/${sanitized_digest}"
|
||||
digest="${{ steps.build.outputs.digest }}"
|
||||
touch "/tmp/digests/${digest#sha256:}"
|
||||
|
||||
- name: Upload digest
|
||||
uses: actions/upload-artifact@v4
|
||||
@@ -134,15 +133,10 @@ jobs:
|
||||
|
||||
- name: Create manifest list and push
|
||||
working-directory: /tmp/digests
|
||||
env:
|
||||
IMAGE_NAME: ${{ env[matrix.image_name_env] }}
|
||||
run: |
|
||||
docker buildx imagetools create $(jq -cr '.tags | map("-t " + .) | join(" ")' <<< "$DOCKER_METADATA_OUTPUT_JSON") \
|
||||
$(printf "$IMAGE_NAME@sha256:%s " *)
|
||||
$(printf '${{ env[matrix.image_name_env] }}@sha256:%s ' *)
|
||||
|
||||
- name: Inspect image
|
||||
env:
|
||||
IMAGE_NAME: ${{ env[matrix.image_name_env] }}
|
||||
IMAGE_VERSION: ${{ steps.meta.outputs.version }}
|
||||
run: |
|
||||
docker buildx imagetools inspect "$IMAGE_NAME:$IMAGE_VERSION"
|
||||
docker buildx imagetools inspect ${{ env[matrix.image_name_env] }}:${{ steps.meta.outputs.version }}
|
||||
|
||||
3
.github/workflows/db-migration-test.yml
vendored
3
.github/workflows/db-migration-test.yml
vendored
@@ -19,9 +19,6 @@ jobs:
|
||||
steps:
|
||||
- name: Checkout code
|
||||
uses: actions/checkout@v4
|
||||
with:
|
||||
fetch-depth: 0
|
||||
persist-credentials: false
|
||||
|
||||
- name: Setup Poetry and Python
|
||||
uses: ./.github/actions/setup-poetry
|
||||
|
||||
2
.github/workflows/expose_service_ports.sh
vendored
2
.github/workflows/expose_service_ports.sh
vendored
@@ -9,6 +9,6 @@ yq eval '.services["pgvecto-rs"].ports += ["5431:5432"]' -i docker/docker-compos
|
||||
yq eval '.services["elasticsearch"].ports += ["9200:9200"]' -i docker/docker-compose.yaml
|
||||
yq eval '.services.couchbase-server.ports += ["8091-8096:8091-8096"]' -i docker/docker-compose.yaml
|
||||
yq eval '.services.couchbase-server.ports += ["11210:11210"]' -i docker/docker-compose.yaml
|
||||
yq eval '.services.tidb.ports += ["4000:4000"]' -i docker/tidb/docker-compose.yaml
|
||||
yq eval '.services.tidb.ports += ["4000:4000"]' -i docker/docker-compose.yaml
|
||||
|
||||
echo "Ports exposed for sandbox, weaviate, tidb, qdrant, chroma, milvus, pgvector, pgvecto-rs, elasticsearch, couchbase"
|
||||
|
||||
12
.github/workflows/style.yml
vendored
12
.github/workflows/style.yml
vendored
@@ -17,9 +17,6 @@ jobs:
|
||||
steps:
|
||||
- name: Checkout code
|
||||
uses: actions/checkout@v4
|
||||
with:
|
||||
fetch-depth: 0
|
||||
persist-credentials: false
|
||||
|
||||
- name: Check changed files
|
||||
id: changed-files
|
||||
@@ -62,9 +59,6 @@ jobs:
|
||||
steps:
|
||||
- name: Checkout code
|
||||
uses: actions/checkout@v4
|
||||
with:
|
||||
fetch-depth: 0
|
||||
persist-credentials: false
|
||||
|
||||
- name: Check changed files
|
||||
id: changed-files
|
||||
@@ -95,9 +89,6 @@ jobs:
|
||||
steps:
|
||||
- name: Checkout code
|
||||
uses: actions/checkout@v4
|
||||
with:
|
||||
fetch-depth: 0
|
||||
persist-credentials: false
|
||||
|
||||
- name: Check changed files
|
||||
id: changed-files
|
||||
@@ -126,9 +117,6 @@ jobs:
|
||||
steps:
|
||||
- name: Checkout code
|
||||
uses: actions/checkout@v4
|
||||
with:
|
||||
fetch-depth: 0
|
||||
persist-credentials: false
|
||||
|
||||
- name: Check changed files
|
||||
id: changed-files
|
||||
|
||||
3
.github/workflows/tool-test-sdks.yaml
vendored
3
.github/workflows/tool-test-sdks.yaml
vendored
@@ -26,9 +26,6 @@ jobs:
|
||||
|
||||
steps:
|
||||
- uses: actions/checkout@v4
|
||||
with:
|
||||
fetch-depth: 0
|
||||
persist-credentials: false
|
||||
|
||||
- name: Use Node.js ${{ matrix.node-version }}
|
||||
uses: actions/setup-node@v4
|
||||
|
||||
@@ -16,7 +16,6 @@ jobs:
|
||||
- uses: actions/checkout@v4
|
||||
with:
|
||||
fetch-depth: 2 # last 2 commits
|
||||
persist-credentials: false
|
||||
|
||||
- name: Check for file changes in i18n/en-US
|
||||
id: check_files
|
||||
|
||||
17
.github/workflows/vdb-tests.yml
vendored
17
.github/workflows/vdb-tests.yml
vendored
@@ -28,9 +28,6 @@ jobs:
|
||||
steps:
|
||||
- name: Checkout code
|
||||
uses: actions/checkout@v4
|
||||
with:
|
||||
fetch-depth: 0
|
||||
persist-credentials: false
|
||||
|
||||
- name: Setup Poetry and Python ${{ matrix.python-version }}
|
||||
uses: ./.github/actions/setup-poetry
|
||||
@@ -54,15 +51,7 @@ jobs:
|
||||
- name: Expose Service Ports
|
||||
run: sh .github/workflows/expose_service_ports.sh
|
||||
|
||||
- name: Set up Vector Store (TiDB)
|
||||
uses: hoverkraft-tech/compose-action@v2.0.2
|
||||
with:
|
||||
compose-file: docker/tidb/docker-compose.yaml
|
||||
services: |
|
||||
tidb
|
||||
tiflash
|
||||
|
||||
- name: Set up Vector Stores (Weaviate, Qdrant, PGVector, Milvus, PgVecto-RS, Chroma, MyScale, ElasticSearch, Couchbase)
|
||||
- name: Set up Vector Stores (TiDB, Weaviate, Qdrant, PGVector, Milvus, PgVecto-RS, Chroma, MyScale, ElasticSearch, Couchbase)
|
||||
uses: hoverkraft-tech/compose-action@v2.0.2
|
||||
with:
|
||||
compose-file: |
|
||||
@@ -78,9 +67,7 @@ jobs:
|
||||
pgvector
|
||||
chroma
|
||||
elasticsearch
|
||||
|
||||
- name: Check TiDB Ready
|
||||
run: poetry run -P api python api/tests/integration_tests/vdb/tidb_vector/check_tiflash_ready.py
|
||||
tidb
|
||||
|
||||
- name: Test Vector Stores
|
||||
run: poetry run -P api bash dev/pytest/pytest_vdb.sh
|
||||
|
||||
3
.github/workflows/web-tests.yml
vendored
3
.github/workflows/web-tests.yml
vendored
@@ -22,9 +22,6 @@ jobs:
|
||||
steps:
|
||||
- name: Checkout code
|
||||
uses: actions/checkout@v4
|
||||
with:
|
||||
fetch-depth: 0
|
||||
persist-credentials: false
|
||||
|
||||
- name: Check changed files
|
||||
id: changed-files
|
||||
|
||||
1
.gitignore
vendored
1
.gitignore
vendored
@@ -163,7 +163,6 @@ docker/volumes/db/data/*
|
||||
docker/volumes/redis/data/*
|
||||
docker/volumes/weaviate/*
|
||||
docker/volumes/qdrant/*
|
||||
docker/tidb/volumes/*
|
||||
docker/volumes/etcd/*
|
||||
docker/volumes/minio/*
|
||||
docker/volumes/milvus/*
|
||||
|
||||
66
README.md
66
README.md
@@ -108,72 +108,6 @@ Please refer to our [FAQ](https://docs.dify.ai/getting-started/install-self-host
|
||||
**7. Backend-as-a-Service**:
|
||||
All of Dify's offerings come with corresponding APIs, so you could effortlessly integrate Dify into your own business logic.
|
||||
|
||||
## Feature Comparison
|
||||
<table style="width: 100%;">
|
||||
<tr>
|
||||
<th align="center">Feature</th>
|
||||
<th align="center">Dify.AI</th>
|
||||
<th align="center">LangChain</th>
|
||||
<th align="center">Flowise</th>
|
||||
<th align="center">OpenAI Assistants API</th>
|
||||
</tr>
|
||||
<tr>
|
||||
<td align="center">Programming Approach</td>
|
||||
<td align="center">API + App-oriented</td>
|
||||
<td align="center">Python Code</td>
|
||||
<td align="center">App-oriented</td>
|
||||
<td align="center">API-oriented</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td align="center">Supported LLMs</td>
|
||||
<td align="center">Rich Variety</td>
|
||||
<td align="center">Rich Variety</td>
|
||||
<td align="center">Rich Variety</td>
|
||||
<td align="center">OpenAI-only</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td align="center">RAG Engine</td>
|
||||
<td align="center">✅</td>
|
||||
<td align="center">✅</td>
|
||||
<td align="center">✅</td>
|
||||
<td align="center">✅</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td align="center">Agent</td>
|
||||
<td align="center">✅</td>
|
||||
<td align="center">✅</td>
|
||||
<td align="center">❌</td>
|
||||
<td align="center">✅</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td align="center">Workflow</td>
|
||||
<td align="center">✅</td>
|
||||
<td align="center">❌</td>
|
||||
<td align="center">✅</td>
|
||||
<td align="center">❌</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td align="center">Observability</td>
|
||||
<td align="center">✅</td>
|
||||
<td align="center">✅</td>
|
||||
<td align="center">❌</td>
|
||||
<td align="center">❌</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td align="center">Enterprise Feature (SSO/Access control)</td>
|
||||
<td align="center">✅</td>
|
||||
<td align="center">❌</td>
|
||||
<td align="center">❌</td>
|
||||
<td align="center">❌</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td align="center">Local Deployment</td>
|
||||
<td align="center">✅</td>
|
||||
<td align="center">✅</td>
|
||||
<td align="center">✅</td>
|
||||
<td align="center">❌</td>
|
||||
</tr>
|
||||
</table>
|
||||
|
||||
## Using Dify
|
||||
|
||||
|
||||
@@ -87,7 +87,9 @@ Dify is an open-source LLM app development platform. Its intuitive interface com
|
||||
|
||||
## Feature Comparison
|
||||
<table style="width: 100%;">
|
||||
<tr>
|
||||
<tr
|
||||
|
||||
>
|
||||
<th align="center">Feature</th>
|
||||
<th align="center">Dify.AI</th>
|
||||
<th align="center">LangChain</th>
|
||||
|
||||
69
README_SI.md
69
README_SI.md
@@ -106,73 +106,6 @@ Prosimo, glejte naša pogosta vprašanja [FAQ](https://docs.dify.ai/getting-star
|
||||
**7. Backend-as-a-Service**:
|
||||
AVse ponudbe Difyja so opremljene z ustreznimi API-ji, tako da lahko Dify brez težav integrirate v svojo poslovno logiko.
|
||||
|
||||
## Primerjava Funkcij
|
||||
|
||||
<table style="width: 100%;">
|
||||
<tr>
|
||||
<th align="center">Funkcija</th>
|
||||
<th align="center">Dify.AI</th>
|
||||
<th align="center">LangChain</th>
|
||||
<th align="center">Flowise</th>
|
||||
<th align="center">OpenAI Assistants API</th>
|
||||
</tr>
|
||||
<tr>
|
||||
<td align="center">Programski pristop</td>
|
||||
<td align="center">API + usmerjeno v aplikacije</td>
|
||||
<td align="center">Python koda</td>
|
||||
<td align="center">Usmerjeno v aplikacije</td>
|
||||
<td align="center">Usmerjeno v API</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td align="center">Podprti LLM-ji</td>
|
||||
<td align="center">Bogata izbira</td>
|
||||
<td align="center">Bogata izbira</td>
|
||||
<td align="center">Bogata izbira</td>
|
||||
<td align="center">Samo OpenAI</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td align="center">RAG pogon</td>
|
||||
<td align="center">✅</td>
|
||||
<td align="center">✅</td>
|
||||
<td align="center">✅</td>
|
||||
<td align="center">✅</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td align="center">Agent</td>
|
||||
<td align="center">✅</td>
|
||||
<td align="center">✅</td>
|
||||
<td align="center">❌</td>
|
||||
<td align="center">✅</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td align="center">Potek dela</td>
|
||||
<td align="center">✅</td>
|
||||
<td align="center">❌</td>
|
||||
<td align="center">✅</td>
|
||||
<td align="center">❌</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td align="center">Spremljanje</td>
|
||||
<td align="center">✅</td>
|
||||
<td align="center">✅</td>
|
||||
<td align="center">❌</td>
|
||||
<td align="center">❌</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td align="center">Funkcija za podjetja (SSO/nadzor dostopa)</td>
|
||||
<td align="center">✅</td>
|
||||
<td align="center">❌</td>
|
||||
<td align="center">❌</td>
|
||||
<td align="center">❌</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td align="center">Lokalna namestitev</td>
|
||||
<td align="center">✅</td>
|
||||
<td align="center">✅</td>
|
||||
<td align="center">✅</td>
|
||||
<td align="center">❌</td>
|
||||
</tr>
|
||||
</table>
|
||||
|
||||
## Uporaba Dify
|
||||
|
||||
@@ -254,4 +187,4 @@ Zaradi zaščite vaše zasebnosti se izogibajte objavljanju varnostnih vprašanj
|
||||
|
||||
## Licenca
|
||||
|
||||
To skladišče je na voljo pod [odprtokodno licenco Dify](LICENSE) , ki je v bistvu Apache 2.0 z nekaj dodatnimi omejitvami.
|
||||
To skladišče je na voljo pod [odprtokodno licenco Dify](LICENSE) , ki je v bistvu Apache 2.0 z nekaj dodatnimi omejitvami.
|
||||
@@ -37,13 +37,7 @@
|
||||
|
||||
4. Create environment.
|
||||
|
||||
Dify API service uses [Poetry](https://python-poetry.org/docs/) to manage dependencies. First, you need to add the poetry shell plugin, if you don't have it already, in order to run in a virtual environment. [Note: Poetry shell is no longer a native command so you need to install the poetry plugin beforehand]
|
||||
|
||||
```bash
|
||||
poetry self add poetry-plugin-shell
|
||||
```
|
||||
|
||||
Then, You can execute `poetry shell` to activate the environment.
|
||||
Dify API service uses [Poetry](https://python-poetry.org/docs/) to manage dependencies. You can execute `poetry shell` to activate the environment.
|
||||
|
||||
5. Install dependencies
|
||||
|
||||
|
||||
@@ -315,8 +315,8 @@ class HttpConfig(BaseSettings):
|
||||
)
|
||||
|
||||
RESPECT_XFORWARD_HEADERS_ENABLED: bool = Field(
|
||||
description="Enable handling of X-Forwarded-For, X-Forwarded-Proto, and X-Forwarded-Port headers"
|
||||
" when the app is behind a single trusted reverse proxy.",
|
||||
description="Enable or disable the X-Forwarded-For Proxy Fix middleware from Werkzeug"
|
||||
" to respect X-* headers to redirect clients",
|
||||
default=False,
|
||||
)
|
||||
|
||||
@@ -498,11 +498,6 @@ class AuthConfig(BaseSettings):
|
||||
default=86400,
|
||||
)
|
||||
|
||||
FORGOT_PASSWORD_LOCKOUT_DURATION: PositiveInt = Field(
|
||||
description="Time (in seconds) a user must wait before retrying password reset after exceeding the rate limit.",
|
||||
default=86400,
|
||||
)
|
||||
|
||||
|
||||
class ModerationConfig(BaseSettings):
|
||||
"""
|
||||
|
||||
@@ -15,7 +15,7 @@ AUDIO_EXTENSIONS.extend([ext.upper() for ext in AUDIO_EXTENSIONS])
|
||||
|
||||
if dify_config.ETL_TYPE == "Unstructured":
|
||||
DOCUMENT_EXTENSIONS = ["txt", "markdown", "md", "mdx", "pdf", "html", "htm", "xlsx", "xls"]
|
||||
DOCUMENT_EXTENSIONS.extend(("doc", "docx", "csv", "eml", "msg", "pptx", "xml", "epub"))
|
||||
DOCUMENT_EXTENSIONS.extend(("docx", "csv", "eml", "msg", "pptx", "xml", "epub"))
|
||||
if dify_config.UNSTRUCTURED_API_URL:
|
||||
DOCUMENT_EXTENSIONS.append("ppt")
|
||||
DOCUMENT_EXTENSIONS.extend([ext.upper() for ext in DOCUMENT_EXTENSIONS])
|
||||
|
||||
@@ -59,9 +59,3 @@ class EmailCodeAccountDeletionRateLimitExceededError(BaseHTTPException):
|
||||
error_code = "email_code_account_deletion_rate_limit_exceeded"
|
||||
description = "Too many account deletion emails have been sent. Please try again in 5 minutes."
|
||||
code = 429
|
||||
|
||||
|
||||
class EmailPasswordResetLimitError(BaseHTTPException):
|
||||
error_code = "email_password_reset_limit"
|
||||
description = "Too many failed password reset attempts. Please try again in 24 hours."
|
||||
code = 429
|
||||
|
||||
@@ -6,13 +6,7 @@ from flask_restful import Resource, reqparse # type: ignore
|
||||
|
||||
from constants.languages import languages
|
||||
from controllers.console import api
|
||||
from controllers.console.auth.error import (
|
||||
EmailCodeError,
|
||||
EmailPasswordResetLimitError,
|
||||
InvalidEmailError,
|
||||
InvalidTokenError,
|
||||
PasswordMismatchError,
|
||||
)
|
||||
from controllers.console.auth.error import EmailCodeError, InvalidEmailError, InvalidTokenError, PasswordMismatchError
|
||||
from controllers.console.error import AccountInFreezeError, AccountNotFound, EmailSendIpLimitError
|
||||
from controllers.console.wraps import setup_required
|
||||
from events.tenant_event import tenant_was_created
|
||||
@@ -68,10 +62,6 @@ class ForgotPasswordCheckApi(Resource):
|
||||
|
||||
user_email = args["email"]
|
||||
|
||||
is_forgot_password_error_rate_limit = AccountService.is_forgot_password_error_rate_limit(args["email"])
|
||||
if is_forgot_password_error_rate_limit:
|
||||
raise EmailPasswordResetLimitError()
|
||||
|
||||
token_data = AccountService.get_reset_password_data(args["token"])
|
||||
if token_data is None:
|
||||
raise InvalidTokenError()
|
||||
@@ -80,10 +70,8 @@ class ForgotPasswordCheckApi(Resource):
|
||||
raise InvalidEmailError()
|
||||
|
||||
if args["code"] != token_data.get("code"):
|
||||
AccountService.add_forgot_password_error_rate_limit(args["email"])
|
||||
raise EmailCodeError()
|
||||
|
||||
AccountService.reset_forgot_password_error_rate_limit(args["email"])
|
||||
return {"is_valid": True, "email": token_data.get("email")}
|
||||
|
||||
|
||||
|
||||
@@ -50,8 +50,8 @@ class EnterpriseWorkspaceNoOwnerEmail(Resource):
|
||||
"plan": tenant.plan,
|
||||
"status": tenant.status,
|
||||
"custom_config": json.loads(tenant.custom_config) if tenant.custom_config else {},
|
||||
"created_at": tenant.created_at.isoformat() + "Z" if tenant.created_at else None,
|
||||
"updated_at": tenant.updated_at.isoformat() + "Z" if tenant.updated_at else None,
|
||||
"created_at": tenant.created_at.isoformat() if tenant.created_at else None,
|
||||
"updated_at": tenant.updated_at.isoformat() if tenant.updated_at else None,
|
||||
}
|
||||
|
||||
return {
|
||||
|
||||
@@ -140,7 +140,9 @@ class AdvancedChatAppGenerator(MessageBasedAppGenerator):
|
||||
app_config=app_config,
|
||||
file_upload_config=file_extra_config,
|
||||
conversation_id=conversation.id if conversation else None,
|
||||
inputs=self._prepare_user_inputs(
|
||||
inputs=conversation.inputs
|
||||
if conversation
|
||||
else self._prepare_user_inputs(
|
||||
user_inputs=inputs, variables=app_config.variables, tenant_id=app_model.tenant_id
|
||||
),
|
||||
query=query,
|
||||
|
||||
@@ -148,7 +148,9 @@ class AgentChatAppGenerator(MessageBasedAppGenerator):
|
||||
model_conf=ModelConfigConverter.convert(app_config),
|
||||
file_upload_config=file_extra_config,
|
||||
conversation_id=conversation.id if conversation else None,
|
||||
inputs=self._prepare_user_inputs(
|
||||
inputs=conversation.inputs
|
||||
if conversation
|
||||
else self._prepare_user_inputs(
|
||||
user_inputs=inputs, variables=app_config.variables, tenant_id=app_model.tenant_id
|
||||
),
|
||||
query=query,
|
||||
|
||||
@@ -141,7 +141,9 @@ class ChatAppGenerator(MessageBasedAppGenerator):
|
||||
model_conf=ModelConfigConverter.convert(app_config),
|
||||
file_upload_config=file_extra_config,
|
||||
conversation_id=conversation.id if conversation else None,
|
||||
inputs=self._prepare_user_inputs(
|
||||
inputs=conversation.inputs
|
||||
if conversation
|
||||
else self._prepare_user_inputs(
|
||||
user_inputs=inputs, variables=app_config.variables, tenant_id=app_model.tenant_id
|
||||
),
|
||||
query=query,
|
||||
|
||||
@@ -842,4 +842,4 @@ class WorkflowCycleManage:
|
||||
if node_execution_id not in self._workflow_node_executions:
|
||||
raise ValueError(f"Workflow node execution not found: {node_execution_id}")
|
||||
cached_workflow_node_execution = self._workflow_node_executions[node_execution_id]
|
||||
return session.merge(cached_workflow_node_execution)
|
||||
return cached_workflow_node_execution
|
||||
|
||||
@@ -30,6 +30,11 @@ from core.model_runtime.model_providers.__base.ai_model import AIModel
|
||||
|
||||
logger = logging.getLogger(__name__)
|
||||
|
||||
HTML_THINKING_TAG = (
|
||||
'<details style="color:gray;background-color: #f8f8f8;padding: 8px;border-radius: 4px;" open> '
|
||||
"<summary> Thinking... </summary>"
|
||||
)
|
||||
|
||||
|
||||
class LargeLanguageModel(AIModel):
|
||||
"""
|
||||
@@ -403,7 +408,7 @@ if you are not sure about the structure.
|
||||
def _wrap_thinking_by_reasoning_content(self, delta: dict, is_reasoning: bool) -> tuple[str, bool]:
|
||||
"""
|
||||
If the reasoning response is from delta.get("reasoning_content"), we wrap
|
||||
it with HTML think tag.
|
||||
it with HTML details tag.
|
||||
|
||||
:param delta: delta dictionary from LLM streaming response
|
||||
:param is_reasoning: is reasoning
|
||||
@@ -415,17 +420,25 @@ if you are not sure about the structure.
|
||||
|
||||
if reasoning_content:
|
||||
if not is_reasoning:
|
||||
content = "<think>\n" + reasoning_content
|
||||
content = HTML_THINKING_TAG + reasoning_content
|
||||
is_reasoning = True
|
||||
else:
|
||||
content = reasoning_content
|
||||
elif is_reasoning and content:
|
||||
# do not end reasoning when content is empty
|
||||
# there may be more reasoning_content later that follows previous reasoning closely
|
||||
content = "\n</think>" + content
|
||||
elif is_reasoning:
|
||||
content = "</details>" + content
|
||||
is_reasoning = False
|
||||
return content, is_reasoning
|
||||
|
||||
def _wrap_thinking_by_tag(self, content: str) -> str:
|
||||
"""
|
||||
if the reasoning response is a <think>...</think> block from delta.get("content"),
|
||||
we replace <think> to <detail>.
|
||||
|
||||
:param content: delta.get("content")
|
||||
:return: processed_content
|
||||
"""
|
||||
return content.replace("<think>", HTML_THINKING_TAG).replace("</think>", "</details>")
|
||||
|
||||
def _invoke_result_generator(
|
||||
self,
|
||||
model: str,
|
||||
|
||||
@@ -1,6 +1,5 @@
|
||||
- gemini-2.0-flash-001
|
||||
- gemini-2.0-flash-exp
|
||||
- gemini-2.0-flash-lite-preview-02-05
|
||||
- gemini-2.0-pro-exp-02-05
|
||||
- gemini-2.0-flash-thinking-exp-1219
|
||||
- gemini-2.0-flash-thinking-exp-01-21
|
||||
|
||||
@@ -1,41 +0,0 @@
|
||||
model: gemini-2.0-flash-lite-preview-02-05
|
||||
label:
|
||||
en_US: Gemini 2.0 Flash Lite Preview 0205
|
||||
model_type: llm
|
||||
features:
|
||||
- agent-thought
|
||||
- vision
|
||||
- tool-call
|
||||
- stream-tool-call
|
||||
- document
|
||||
- video
|
||||
- audio
|
||||
model_properties:
|
||||
mode: chat
|
||||
context_size: 1048576
|
||||
parameter_rules:
|
||||
- name: temperature
|
||||
use_template: temperature
|
||||
- name: top_p
|
||||
use_template: top_p
|
||||
- name: top_k
|
||||
label:
|
||||
zh_Hans: 取样数量
|
||||
en_US: Top k
|
||||
type: int
|
||||
help:
|
||||
zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
|
||||
en_US: Only sample from the top K options for each subsequent token.
|
||||
required: false
|
||||
- name: max_output_tokens
|
||||
use_template: max_tokens
|
||||
default: 8192
|
||||
min: 1
|
||||
max: 8192
|
||||
- name: json_schema
|
||||
use_template: json_schema
|
||||
pricing:
|
||||
input: '0.00'
|
||||
output: '0.00'
|
||||
unit: '0.000001'
|
||||
currency: USD
|
||||
@@ -367,6 +367,7 @@ class OllamaLargeLanguageModel(LargeLanguageModel):
|
||||
|
||||
# transform assistant message to prompt message
|
||||
text = chunk_json["response"]
|
||||
text = self._wrap_thinking_by_tag(text)
|
||||
|
||||
assistant_prompt_message = AssistantPromptMessage(content=text)
|
||||
|
||||
|
||||
@@ -528,6 +528,7 @@ class OAIAPICompatLargeLanguageModel(_CommonOaiApiCompat, LargeLanguageModel):
|
||||
delta_content, is_reasoning_started = self._wrap_thinking_by_reasoning_content(
|
||||
delta, is_reasoning_started
|
||||
)
|
||||
delta_content = self._wrap_thinking_by_tag(delta_content)
|
||||
|
||||
assistant_message_tool_calls = None
|
||||
|
||||
@@ -807,37 +808,34 @@ class OAIAPICompatLargeLanguageModel(_CommonOaiApiCompat, LargeLanguageModel):
|
||||
|
||||
# calculate num tokens for function object
|
||||
num_tokens += self._get_num_tokens_by_gpt2("name")
|
||||
if hasattr(tool, "name"):
|
||||
num_tokens += self._get_num_tokens_by_gpt2(tool.name)
|
||||
num_tokens += self._get_num_tokens_by_gpt2(tool.name)
|
||||
num_tokens += self._get_num_tokens_by_gpt2("description")
|
||||
if hasattr(tool, "description"):
|
||||
num_tokens += self._get_num_tokens_by_gpt2(tool.description)
|
||||
if hasattr(tool, "parameters"):
|
||||
parameters = tool.parameters
|
||||
num_tokens += self._get_num_tokens_by_gpt2("parameters")
|
||||
if "title" in parameters:
|
||||
num_tokens += self._get_num_tokens_by_gpt2("title")
|
||||
num_tokens += self._get_num_tokens_by_gpt2(parameters.get("title"))
|
||||
num_tokens += self._get_num_tokens_by_gpt2("type")
|
||||
num_tokens += self._get_num_tokens_by_gpt2(parameters.get("type"))
|
||||
if "properties" in parameters:
|
||||
num_tokens += self._get_num_tokens_by_gpt2("properties")
|
||||
for key, value in parameters.get("properties", {}).items():
|
||||
num_tokens += self._get_num_tokens_by_gpt2(key)
|
||||
for field_key, field_value in value.items():
|
||||
num_tokens += self._get_num_tokens_by_gpt2(tool.description)
|
||||
parameters = tool.parameters
|
||||
num_tokens += self._get_num_tokens_by_gpt2("parameters")
|
||||
if "title" in parameters:
|
||||
num_tokens += self._get_num_tokens_by_gpt2("title")
|
||||
num_tokens += self._get_num_tokens_by_gpt2(parameters.get("title"))
|
||||
num_tokens += self._get_num_tokens_by_gpt2("type")
|
||||
num_tokens += self._get_num_tokens_by_gpt2(parameters.get("type"))
|
||||
if "properties" in parameters:
|
||||
num_tokens += self._get_num_tokens_by_gpt2("properties")
|
||||
for key, value in parameters.get("properties").items():
|
||||
num_tokens += self._get_num_tokens_by_gpt2(key)
|
||||
for field_key, field_value in value.items():
|
||||
num_tokens += self._get_num_tokens_by_gpt2(field_key)
|
||||
if field_key == "enum":
|
||||
for enum_field in field_value:
|
||||
num_tokens += 3
|
||||
num_tokens += self._get_num_tokens_by_gpt2(enum_field)
|
||||
else:
|
||||
num_tokens += self._get_num_tokens_by_gpt2(field_key)
|
||||
if field_key == "enum":
|
||||
for enum_field in field_value:
|
||||
num_tokens += 3
|
||||
num_tokens += self._get_num_tokens_by_gpt2(enum_field)
|
||||
else:
|
||||
num_tokens += self._get_num_tokens_by_gpt2(field_key)
|
||||
num_tokens += self._get_num_tokens_by_gpt2(str(field_value))
|
||||
if "required" in parameters:
|
||||
num_tokens += self._get_num_tokens_by_gpt2("required")
|
||||
for required_field in parameters["required"]:
|
||||
num_tokens += 3
|
||||
num_tokens += self._get_num_tokens_by_gpt2(required_field)
|
||||
num_tokens += self._get_num_tokens_by_gpt2(str(field_value))
|
||||
if "required" in parameters:
|
||||
num_tokens += self._get_num_tokens_by_gpt2("required")
|
||||
for required_field in parameters["required"]:
|
||||
num_tokens += 3
|
||||
num_tokens += self._get_num_tokens_by_gpt2(required_field)
|
||||
|
||||
return num_tokens
|
||||
|
||||
|
||||
@@ -430,7 +430,7 @@ class SageMakerLargeLanguageModel(LargeLanguageModel):
|
||||
type=ParameterType.INT,
|
||||
use_template="max_tokens",
|
||||
min=1,
|
||||
max=int(credentials.get("context_length", 2048)),
|
||||
max=credentials.get("context_length", 2048),
|
||||
default=512,
|
||||
label=I18nObject(zh_Hans="最大生成长度", en_US="Max Tokens"),
|
||||
),
|
||||
@@ -448,7 +448,7 @@ class SageMakerLargeLanguageModel(LargeLanguageModel):
|
||||
if support_vision:
|
||||
features.append(ModelFeature.VISION)
|
||||
|
||||
context_length = int(credentials.get("context_length", 2048))
|
||||
context_length = credentials.get("context_length", 2048)
|
||||
|
||||
entity = AIModelEntity(
|
||||
model=model,
|
||||
|
||||
@@ -59,19 +59,6 @@ model_credential_schema:
|
||||
placeholder:
|
||||
zh_Hans: 请输出你的Sagemaker推理端点
|
||||
en_US: Enter your Sagemaker Inference endpoint
|
||||
- variable: context_length
|
||||
show_on:
|
||||
- variable: __model_type
|
||||
value: llm
|
||||
label:
|
||||
zh_Hans: 模型上下文长度
|
||||
en_US: Model context size
|
||||
type: text-input
|
||||
default: '4096'
|
||||
required: true
|
||||
placeholder:
|
||||
zh_Hans: 在此输入您的模型上下文长度
|
||||
en_US: Enter your Model context size
|
||||
- variable: audio_s3_cache_bucket
|
||||
show_on:
|
||||
- variable: __model_type
|
||||
|
||||
@@ -17,13 +17,6 @@
|
||||
- deepseek-ai/DeepSeek-V2.5
|
||||
- deepseek-ai/DeepSeek-V3
|
||||
- deepseek-ai/DeepSeek-Coder-V2-Instruct
|
||||
- deepseek-ai/DeepSeek-R1-Distill-Llama-8B
|
||||
- deepseek-ai/DeepSeek-R1-Distill-Llama-70B
|
||||
- deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B
|
||||
- deepseek-ai/DeepSeek-R1-Distill-Qwen-7B
|
||||
- deepseek-ai/DeepSeek-R1-Distill-Qwen-14B
|
||||
- deepseek-ai/DeepSeek-R1-Distill-Qwen-32B
|
||||
- deepseek-ai/Janus-Pro-7B
|
||||
- THUDM/glm-4-9b-chat
|
||||
- 01-ai/Yi-1.5-34B-Chat-16K
|
||||
- 01-ai/Yi-1.5-9B-Chat-16K
|
||||
|
||||
@@ -1,21 +0,0 @@
|
||||
model: deepseek-ai/DeepSeek-R1-Distill-Llama-70B
|
||||
label:
|
||||
zh_Hans: deepseek-ai/DeepSeek-R1-Distill-Llama-70B
|
||||
en_US: deepseek-ai/DeepSeek-R1-Distill-Llama-70B
|
||||
model_type: llm
|
||||
features:
|
||||
- agent-thought
|
||||
model_properties:
|
||||
mode: chat
|
||||
context_size: 32000
|
||||
parameter_rules:
|
||||
- name: max_tokens
|
||||
use_template: max_tokens
|
||||
min: 1
|
||||
max: 8192
|
||||
default: 4096
|
||||
pricing:
|
||||
input: "0.00"
|
||||
output: "4.3"
|
||||
unit: "0.000001"
|
||||
currency: RMB
|
||||
@@ -1,21 +0,0 @@
|
||||
model: deepseek-ai/DeepSeek-R1-Distill-Llama-8B
|
||||
label:
|
||||
zh_Hans: deepseek-ai/DeepSeek-R1-Distill-Llama-8B
|
||||
en_US: deepseek-ai/DeepSeek-R1-Distill-Llama-8B
|
||||
model_type: llm
|
||||
features:
|
||||
- agent-thought
|
||||
model_properties:
|
||||
mode: chat
|
||||
context_size: 32000
|
||||
parameter_rules:
|
||||
- name: max_tokens
|
||||
use_template: max_tokens
|
||||
min: 1
|
||||
max: 8192
|
||||
default: 4096
|
||||
pricing:
|
||||
input: "0.00"
|
||||
output: "0.00"
|
||||
unit: "0.000001"
|
||||
currency: RMB
|
||||
@@ -1,21 +0,0 @@
|
||||
model: deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B
|
||||
label:
|
||||
zh_Hans: deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B
|
||||
en_US: deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B
|
||||
model_type: llm
|
||||
features:
|
||||
- agent-thought
|
||||
model_properties:
|
||||
mode: chat
|
||||
context_size: 32000
|
||||
parameter_rules:
|
||||
- name: max_tokens
|
||||
use_template: max_tokens
|
||||
min: 1
|
||||
max: 8192
|
||||
default: 4096
|
||||
pricing:
|
||||
input: "0.00"
|
||||
output: "1.26"
|
||||
unit: "0.000001"
|
||||
currency: RMB
|
||||
@@ -1,21 +0,0 @@
|
||||
model: deepseek-ai/DeepSeek-R1-Distill-Qwen-14B
|
||||
label:
|
||||
zh_Hans: deepseek-ai/DeepSeek-R1-Distill-Qwen-14B
|
||||
en_US: deepseek-ai/DeepSeek-R1-Distill-Qwen-14B
|
||||
model_type: llm
|
||||
features:
|
||||
- agent-thought
|
||||
model_properties:
|
||||
mode: chat
|
||||
context_size: 32000
|
||||
parameter_rules:
|
||||
- name: max_tokens
|
||||
use_template: max_tokens
|
||||
min: 1
|
||||
max: 8192
|
||||
default: 4096
|
||||
pricing:
|
||||
input: "0.00"
|
||||
output: "0.70"
|
||||
unit: "0.000001"
|
||||
currency: RMB
|
||||
@@ -1,21 +0,0 @@
|
||||
model: deepseek-ai/DeepSeek-R1-Distill-Qwen-32B
|
||||
label:
|
||||
zh_Hans: deepseek-ai/DeepSeek-R1-Distill-Qwen-32B
|
||||
en_US: deepseek-ai/DeepSeek-R1-Distill-Qwen-32B
|
||||
model_type: llm
|
||||
features:
|
||||
- agent-thought
|
||||
model_properties:
|
||||
mode: chat
|
||||
context_size: 32000
|
||||
parameter_rules:
|
||||
- name: max_tokens
|
||||
use_template: max_tokens
|
||||
min: 1
|
||||
max: 8192
|
||||
default: 4096
|
||||
pricing:
|
||||
input: "0.00"
|
||||
output: "1.26"
|
||||
unit: "0.000001"
|
||||
currency: RMB
|
||||
@@ -1,21 +0,0 @@
|
||||
model: deepseek-ai/DeepSeek-R1-Distill-Qwen-7B
|
||||
label:
|
||||
zh_Hans: deepseek-ai/DeepSeek-R1-Distill-Qwen-7B
|
||||
en_US: deepseek-ai/DeepSeek-R1-Distill-Qwen-7B
|
||||
model_type: llm
|
||||
features:
|
||||
- agent-thought
|
||||
model_properties:
|
||||
mode: chat
|
||||
context_size: 32000
|
||||
parameter_rules:
|
||||
- name: max_tokens
|
||||
use_template: max_tokens
|
||||
min: 1
|
||||
max: 8192
|
||||
default: 4096
|
||||
pricing:
|
||||
input: "0.00"
|
||||
output: "0.00"
|
||||
unit: "0.000001"
|
||||
currency: RMB
|
||||
@@ -1,22 +0,0 @@
|
||||
model: deepseek-ai/Janus-Pro-7B
|
||||
label:
|
||||
zh_Hans: deepseek-ai/Janus-Pro-7B
|
||||
en_US: deepseek-ai/Janus-Pro-7B
|
||||
model_type: llm
|
||||
features:
|
||||
- agent-thought
|
||||
- vision
|
||||
model_properties:
|
||||
mode: chat
|
||||
context_size: 32000
|
||||
parameter_rules:
|
||||
- name: max_tokens
|
||||
use_template: max_tokens
|
||||
min: 1
|
||||
max: 8192
|
||||
default: 4096
|
||||
pricing:
|
||||
input: "0.00"
|
||||
output: "0.00"
|
||||
unit: "0.000001"
|
||||
currency: RMB
|
||||
@@ -1,7 +1,3 @@
|
||||
- deepseek-r1
|
||||
- deepseek-r1-distill-qwen-14b
|
||||
- deepseek-r1-distill-qwen-32b
|
||||
- deepseek-v3
|
||||
- qwen-vl-max-0809
|
||||
- qwen-vl-max-0201
|
||||
- qwen-vl-max
|
||||
|
||||
@@ -1,21 +0,0 @@
|
||||
model: deepseek-r1-distill-qwen-14b
|
||||
label:
|
||||
zh_Hans: DeepSeek-R1-Distill-Qwen-14B
|
||||
en_US: DeepSeek-R1-Distill-Qwen-14B
|
||||
model_type: llm
|
||||
features:
|
||||
- agent-thought
|
||||
model_properties:
|
||||
mode: chat
|
||||
context_size: 32000
|
||||
parameter_rules:
|
||||
- name: max_tokens
|
||||
use_template: max_tokens
|
||||
min: 1
|
||||
max: 8192
|
||||
default: 4096
|
||||
pricing:
|
||||
input: "0.001"
|
||||
output: "0.003"
|
||||
unit: "0.001"
|
||||
currency: RMB
|
||||
@@ -1,21 +0,0 @@
|
||||
model: deepseek-r1-distill-qwen-32b
|
||||
label:
|
||||
zh_Hans: DeepSeek-R1-Distill-Qwen-32B
|
||||
en_US: DeepSeek-R1-Distill-Qwen-32B
|
||||
model_type: llm
|
||||
features:
|
||||
- agent-thought
|
||||
model_properties:
|
||||
mode: chat
|
||||
context_size: 32000
|
||||
parameter_rules:
|
||||
- name: max_tokens
|
||||
use_template: max_tokens
|
||||
min: 1
|
||||
max: 8192
|
||||
default: 4096
|
||||
pricing:
|
||||
input: "0.002"
|
||||
output: "0.006"
|
||||
unit: "0.001"
|
||||
currency: RMB
|
||||
@@ -1,21 +0,0 @@
|
||||
model: deepseek-r1
|
||||
label:
|
||||
zh_Hans: DeepSeek-R1
|
||||
en_US: DeepSeek-R1
|
||||
model_type: llm
|
||||
features:
|
||||
- agent-thought
|
||||
model_properties:
|
||||
mode: chat
|
||||
context_size: 64000
|
||||
parameter_rules:
|
||||
- name: max_tokens
|
||||
use_template: max_tokens
|
||||
min: 1
|
||||
max: 8192
|
||||
default: 4096
|
||||
pricing:
|
||||
input: "0.004"
|
||||
output: "0.016"
|
||||
unit: '0.001'
|
||||
currency: RMB
|
||||
@@ -1,52 +0,0 @@
|
||||
model: deepseek-v3
|
||||
label:
|
||||
zh_Hans: DeepSeek-V3
|
||||
en_US: DeepSeek-V3
|
||||
model_type: llm
|
||||
features:
|
||||
- agent-thought
|
||||
model_properties:
|
||||
mode: chat
|
||||
context_size: 64000
|
||||
parameter_rules:
|
||||
- name: temperature
|
||||
use_template: temperature
|
||||
- name: max_tokens
|
||||
use_template: max_tokens
|
||||
type: int
|
||||
default: 512
|
||||
min: 1
|
||||
max: 4096
|
||||
help:
|
||||
zh_Hans: 指定生成结果长度的上限。如果生成结果截断，可以调大该参数。
|
||||
en_US: Specifies the upper limit on the length of generated results. If the generated results are truncated, you can increase this parameter.
|
||||
- name: top_p
|
||||
use_template: top_p
|
||||
- name: top_k
|
||||
label:
|
||||
zh_Hans: 取样数量
|
||||
en_US: Top k
|
||||
type: int
|
||||
help:
|
||||
zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
|
||||
en_US: Only sample from the top K options for each subsequent token.
|
||||
required: false
|
||||
- name: frequency_penalty
|
||||
use_template: frequency_penalty
|
||||
- name: response_format
|
||||
label:
|
||||
zh_Hans: 回复格式
|
||||
en_US: Response Format
|
||||
type: string
|
||||
help:
|
||||
zh_Hans: 指定模型必须输出的格式
|
||||
en_US: specifying the format that the model must output
|
||||
required: false
|
||||
options:
|
||||
- text
|
||||
- json_object
|
||||
pricing:
|
||||
input: "0.002"
|
||||
output: "0.008"
|
||||
unit: "0.001"
|
||||
currency: RMB
|
||||
@@ -197,7 +197,8 @@ class TongyiLargeLanguageModel(LargeLanguageModel):
|
||||
else:
|
||||
# nothing different between chat model and completion model in tongyi
|
||||
params["messages"] = self._convert_prompt_messages_to_tongyi_messages(prompt_messages)
|
||||
response = Generation.call(**params, result_format="message", stream=stream, incremental_output=stream)
|
||||
response = Generation.call(**params, result_format="message", stream=stream)
|
||||
|
||||
if stream:
|
||||
return self._handle_generate_stream_response(model, credentials, response, prompt_messages)
|
||||
|
||||
@@ -257,9 +258,6 @@ class TongyiLargeLanguageModel(LargeLanguageModel):
|
||||
"""
|
||||
full_text = ""
|
||||
tool_calls = []
|
||||
is_reasoning_started = False
|
||||
# for index, response in enumerate(responses):
|
||||
index = 0
|
||||
for index, response in enumerate(responses):
|
||||
if response.status_code not in {200, HTTPStatus.OK}:
|
||||
raise ServiceUnavailableError(
|
||||
@@ -313,11 +311,7 @@ class TongyiLargeLanguageModel(LargeLanguageModel):
|
||||
),
|
||||
)
|
||||
else:
|
||||
message = response.output.choices[0].message
|
||||
|
||||
resp_content, is_reasoning_started = self._wrap_thinking_by_reasoning_content(
|
||||
message, is_reasoning_started
|
||||
)
|
||||
resp_content = response.output.choices[0].message.content
|
||||
if not resp_content:
|
||||
if "tool_calls" in response.output.choices[0].message:
|
||||
tool_calls = response.output.choices[0].message["tool_calls"]
|
||||
|
||||
@@ -69,15 +69,6 @@ parameter_rules:
|
||||
help:
|
||||
zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。
|
||||
en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment.
|
||||
- name: enable_search
|
||||
type: boolean
|
||||
default: false
|
||||
label:
|
||||
zh_Hans: 联网搜索
|
||||
en_US: Web Search
|
||||
help:
|
||||
zh_Hans: 模型内置了互联网搜索服务，该参数控制模型在生成文本时是否参考使用互联网搜索结果。启用互联网搜索，模型会将搜索结果作为文本生成过程中的参考信息，但模型会基于其内部逻辑“自行判断”是否使用互联网搜索结果。
|
||||
en_US: The model has a built-in Internet search service. This parameter controls whether the model refers to Internet search results when generating text. When Internet search is enabled, the model will use the search results as reference information in the text generation process, but the model will "judge" whether to use Internet search results based on its internal logic.
|
||||
- name: response_format
|
||||
use_template: response_format
|
||||
pricing:
|
||||
|
||||
@@ -69,15 +69,6 @@ parameter_rules:
|
||||
help:
|
||||
zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。
|
||||
en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment.
|
||||
- name: enable_search
|
||||
type: boolean
|
||||
default: false
|
||||
label:
|
||||
zh_Hans: 联网搜索
|
||||
en_US: Web Search
|
||||
help:
|
||||
zh_Hans: 模型内置了互联网搜索服务，该参数控制模型在生成文本时是否参考使用互联网搜索结果。启用互联网搜索，模型会将搜索结果作为文本生成过程中的参考信息，但模型会基于其内部逻辑“自行判断”是否使用互联网搜索结果。
|
||||
en_US: The model has a built-in Internet search service. This parameter controls whether the model refers to Internet search results when generating text. When Internet search is enabled, the model will use the search results as reference information in the text generation process, but the model will "judge" whether to use Internet search results based on its internal logic.
|
||||
- name: response_format
|
||||
use_template: response_format
|
||||
pricing:
|
||||
|
||||
@@ -69,15 +69,6 @@ parameter_rules:
|
||||
help:
|
||||
zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。
|
||||
en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment.
|
||||
- name: enable_search
|
||||
type: boolean
|
||||
default: false
|
||||
label:
|
||||
zh_Hans: 联网搜索
|
||||
en_US: Web Search
|
||||
help:
|
||||
zh_Hans: 模型内置了互联网搜索服务，该参数控制模型在生成文本时是否参考使用互联网搜索结果。启用互联网搜索，模型会将搜索结果作为文本生成过程中的参考信息，但模型会基于其内部逻辑“自行判断”是否使用互联网搜索结果。
|
||||
en_US: The model has a built-in Internet search service. This parameter controls whether the model refers to Internet search results when generating text. When Internet search is enabled, the model will use the search results as reference information in the text generation process, but the model will "judge" whether to use Internet search results based on its internal logic.
|
||||
- name: response_format
|
||||
use_template: response_format
|
||||
pricing:
|
||||
|
||||
@@ -69,15 +69,6 @@ parameter_rules:
|
||||
help:
|
||||
zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。
|
||||
en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment.
|
||||
- name: enable_search
|
||||
type: boolean
|
||||
default: false
|
||||
label:
|
||||
zh_Hans: 联网搜索
|
||||
en_US: Web Search
|
||||
help:
|
||||
zh_Hans: 模型内置了互联网搜索服务，该参数控制模型在生成文本时是否参考使用互联网搜索结果。启用互联网搜索，模型会将搜索结果作为文本生成过程中的参考信息，但模型会基于其内部逻辑“自行判断”是否使用互联网搜索结果。
|
||||
en_US: The model has a built-in Internet search service. This parameter controls whether the model refers to Internet search results when generating text. When Internet search is enabled, the model will use the search results as reference information in the text generation process, but the model will "judge" whether to use Internet search results based on its internal logic.
|
||||
- name: response_format
|
||||
use_template: response_format
|
||||
pricing:
|
||||
|
||||
@@ -68,15 +68,6 @@ parameter_rules:
|
||||
help:
|
||||
zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。
|
||||
en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment.
|
||||
- name: enable_search
|
||||
type: boolean
|
||||
default: false
|
||||
label:
|
||||
zh_Hans: 联网搜索
|
||||
en_US: Web Search
|
||||
help:
|
||||
zh_Hans: 模型内置了互联网搜索服务，该参数控制模型在生成文本时是否参考使用互联网搜索结果。启用互联网搜索，模型会将搜索结果作为文本生成过程中的参考信息，但模型会基于其内部逻辑“自行判断”是否使用互联网搜索结果。
|
||||
en_US: The model has a built-in Internet search service. This parameter controls whether the model refers to Internet search results when generating text. When Internet search is enabled, the model will use the search results as reference information in the text generation process, but the model will "judge" whether to use Internet search results based on its internal logic.
|
||||
- name: response_format
|
||||
use_template: response_format
|
||||
pricing:
|
||||
|
||||
@@ -69,15 +69,6 @@ parameter_rules:
|
||||
help:
|
||||
zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。
|
||||
en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment.
|
||||
- name: enable_search
|
||||
type: boolean
|
||||
default: false
|
||||
label:
|
||||
zh_Hans: 联网搜索
|
||||
en_US: Web Search
|
||||
help:
|
||||
zh_Hans: 模型内置了互联网搜索服务，该参数控制模型在生成文本时是否参考使用互联网搜索结果。启用互联网搜索，模型会将搜索结果作为文本生成过程中的参考信息，但模型会基于其内部逻辑“自行判断”是否使用互联网搜索结果。
|
||||
en_US: The model has a built-in Internet search service. This parameter controls whether the model refers to Internet search results when generating text. When Internet search is enabled, the model will use the search results as reference information in the text generation process, but the model will "judge" whether to use Internet search results based on its internal logic.
|
||||
- name: response_format
|
||||
use_template: response_format
|
||||
pricing:
|
||||
|
||||
@@ -69,15 +69,6 @@ parameter_rules:
|
||||
help:
|
||||
zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。
|
||||
en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment.
|
||||
- name: enable_search
|
||||
type: boolean
|
||||
default: false
|
||||
label:
|
||||
zh_Hans: 联网搜索
|
||||
en_US: Web Search
|
||||
help:
|
||||
zh_Hans: 模型内置了互联网搜索服务，该参数控制模型在生成文本时是否参考使用互联网搜索结果。启用互联网搜索，模型会将搜索结果作为文本生成过程中的参考信息，但模型会基于其内部逻辑“自行判断”是否使用互联网搜索结果。
|
||||
en_US: The model has a built-in Internet search service. This parameter controls whether the model refers to Internet search results when generating text. When Internet search is enabled, the model will use the search results as reference information in the text generation process, but the model will "judge" whether to use Internet search results based on its internal logic.
|
||||
- name: response_format
|
||||
use_template: response_format
|
||||
pricing:
|
||||
|
||||
@@ -67,15 +67,6 @@ parameter_rules:
|
||||
help:
|
||||
zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。
|
||||
en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment.
|
||||
- name: enable_search
|
||||
type: boolean
|
||||
default: false
|
||||
label:
|
||||
zh_Hans: 联网搜索
|
||||
en_US: Web Search
|
||||
help:
|
||||
zh_Hans: 模型内置了互联网搜索服务，该参数控制模型在生成文本时是否参考使用互联网搜索结果。启用互联网搜索，模型会将搜索结果作为文本生成过程中的参考信息，但模型会基于其内部逻辑“自行判断”是否使用互联网搜索结果。
|
||||
en_US: The model has a built-in Internet search service. This parameter controls whether the model refers to Internet search results when generating text. When Internet search is enabled, the model will use the search results as reference information in the text generation process, but the model will "judge" whether to use Internet search results based on its internal logic.
|
||||
- name: response_format
|
||||
use_template: response_format
|
||||
pricing:
|
||||
|
||||
@@ -67,15 +67,6 @@ parameter_rules:
|
||||
help:
|
||||
zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。
|
||||
en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment.
|
||||
- name: enable_search
|
||||
type: boolean
|
||||
default: false
|
||||
label:
|
||||
zh_Hans: 联网搜索
|
||||
en_US: Web Search
|
||||
help:
|
||||
zh_Hans: 模型内置了互联网搜索服务，该参数控制模型在生成文本时是否参考使用互联网搜索结果。启用互联网搜索，模型会将搜索结果作为文本生成过程中的参考信息，但模型会基于其内部逻辑“自行判断”是否使用互联网搜索结果。
|
||||
en_US: The model has a built-in Internet search service. This parameter controls whether the model refers to Internet search results when generating text. When Internet search is enabled, the model will use the search results as reference information in the text generation process, but the model will "judge" whether to use Internet search results based on its internal logic.
|
||||
- name: response_format
|
||||
use_template: response_format
|
||||
pricing:
|
||||
|
||||
@@ -67,15 +67,6 @@ parameter_rules:
|
||||
help:
|
||||
zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。
|
||||
en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment.
|
||||
- name: enable_search
|
||||
type: boolean
|
||||
default: false
|
||||
label:
|
||||
zh_Hans: 联网搜索
|
||||
en_US: Web Search
|
||||
help:
|
||||
zh_Hans: 模型内置了互联网搜索服务，该参数控制模型在生成文本时是否参考使用互联网搜索结果。启用互联网搜索，模型会将搜索结果作为文本生成过程中的参考信息，但模型会基于其内部逻辑“自行判断”是否使用互联网搜索结果。
|
||||
en_US: The model has a built-in Internet search service. This parameter controls whether the model refers to Internet search results when generating text. When Internet search is enabled, the model will use the search results as reference information in the text generation process, but the model will "judge" whether to use Internet search results based on its internal logic.
|
||||
- name: response_format
|
||||
use_template: response_format
|
||||
pricing:
|
||||
|
||||
@@ -67,15 +67,6 @@ parameter_rules:
|
||||
help:
|
||||
zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。
|
||||
en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment.
|
||||
- name: enable_search
|
||||
type: boolean
|
||||
default: false
|
||||
label:
|
||||
zh_Hans: 联网搜索
|
||||
en_US: Web Search
|
||||
help:
|
||||
zh_Hans: 模型内置了互联网搜索服务，该参数控制模型在生成文本时是否参考使用互联网搜索结果。启用互联网搜索，模型会将搜索结果作为文本生成过程中的参考信息，但模型会基于其内部逻辑“自行判断”是否使用互联网搜索结果。
|
||||
en_US: The model has a built-in Internet search service. This parameter controls whether the model refers to Internet search results when generating text. When Internet search is enabled, the model will use the search results as reference information in the text generation process, but the model will "judge" whether to use Internet search results based on its internal logic.
|
||||
- name: response_format
|
||||
use_template: response_format
|
||||
pricing:
|
||||
|
||||
@@ -67,15 +67,6 @@ parameter_rules:
|
||||
help:
|
||||
zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。
|
||||
en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment.
|
||||
- name: enable_search
|
||||
type: boolean
|
||||
default: false
|
||||
label:
|
||||
zh_Hans: 联网搜索
|
||||
en_US: Web Search
|
||||
help:
|
||||
zh_Hans: 模型内置了互联网搜索服务，该参数控制模型在生成文本时是否参考使用互联网搜索结果。启用互联网搜索，模型会将搜索结果作为文本生成过程中的参考信息，但模型会基于其内部逻辑“自行判断”是否使用互联网搜索结果。
|
||||
en_US: The model has a built-in Internet search service. This parameter controls whether the model refers to Internet search results when generating text. When Internet search is enabled, the model will use the search results as reference information in the text generation process, but the model will "judge" whether to use Internet search results based on its internal logic.
|
||||
- name: response_format
|
||||
use_template: response_format
|
||||
pricing:
|
||||
|
||||
@@ -69,15 +69,6 @@ parameter_rules:
|
||||
help:
|
||||
zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。
|
||||
en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment.
|
||||
- name: enable_search
|
||||
type: boolean
|
||||
default: false
|
||||
label:
|
||||
zh_Hans: 联网搜索
|
||||
en_US: Web Search
|
||||
help:
|
||||
zh_Hans: 模型内置了互联网搜索服务，该参数控制模型在生成文本时是否参考使用互联网搜索结果。启用互联网搜索，模型会将搜索结果作为文本生成过程中的参考信息，但模型会基于其内部逻辑“自行判断”是否使用互联网搜索结果。
|
||||
en_US: The model has a built-in Internet search service. This parameter controls whether the model refers to Internet search results when generating text. When Internet search is enabled, the model will use the search results as reference information in the text generation process, but the model will "judge" whether to use Internet search results based on its internal logic.
|
||||
- name: response_format
|
||||
use_template: response_format
|
||||
pricing:
|
||||
|
||||
@@ -67,15 +67,6 @@ parameter_rules:
|
||||
help:
|
||||
zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。
|
||||
en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment.
|
||||
- name: enable_search
|
||||
type: boolean
|
||||
default: false
|
||||
label:
|
||||
zh_Hans: 联网搜索
|
||||
en_US: Web Search
|
||||
help:
|
||||
zh_Hans: 模型内置了互联网搜索服务，该参数控制模型在生成文本时是否参考使用互联网搜索结果。启用互联网搜索，模型会将搜索结果作为文本生成过程中的参考信息，但模型会基于其内部逻辑“自行判断”是否使用互联网搜索结果。
|
||||
en_US: The model has a built-in Internet search service. This parameter controls whether the model refers to Internet search results when generating text. When Internet search is enabled, the model will use the search results as reference information in the text generation process, but the model will "judge" whether to use Internet search results based on its internal logic.
|
||||
- name: response_format
|
||||
use_template: response_format
|
||||
pricing:
|
||||
|
||||
@@ -68,15 +68,6 @@ parameter_rules:
|
||||
help:
|
||||
zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。
|
||||
en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment.
|
||||
- name: enable_search
|
||||
type: boolean
|
||||
default: false
|
||||
label:
|
||||
zh_Hans: 联网搜索
|
||||
en_US: Web Search
|
||||
help:
|
||||
zh_Hans: 模型内置了互联网搜索服务，该参数控制模型在生成文本时是否参考使用互联网搜索结果。启用互联网搜索，模型会将搜索结果作为文本生成过程中的参考信息，但模型会基于其内部逻辑“自行判断”是否使用互联网搜索结果。
|
||||
en_US: The model has a built-in Internet search service. This parameter controls whether the model refers to Internet search results when generating text. When Internet search is enabled, the model will use the search results as reference information in the text generation process, but the model will "judge" whether to use Internet search results based on its internal logic.
|
||||
- name: response_format
|
||||
use_template: response_format
|
||||
pricing:
|
||||
|
||||
@@ -67,15 +67,6 @@ parameter_rules:
|
||||
help:
|
||||
zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。
|
||||
en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment.
|
||||
- name: enable_search
|
||||
type: boolean
|
||||
default: false
|
||||
label:
|
||||
zh_Hans: 联网搜索
|
||||
en_US: Web Search
|
||||
help:
|
||||
zh_Hans: 模型内置了互联网搜索服务，该参数控制模型在生成文本时是否参考使用互联网搜索结果。启用互联网搜索，模型会将搜索结果作为文本生成过程中的参考信息，但模型会基于其内部逻辑“自行判断”是否使用互联网搜索结果。
|
||||
en_US: The model has a built-in Internet search service. This parameter controls whether the model refers to Internet search results when generating text. When Internet search is enabled, the model will use the search results as reference information in the text generation process, but the model will "judge" whether to use Internet search results based on its internal logic.
|
||||
- name: response_format
|
||||
use_template: response_format
|
||||
pricing:
|
||||
|
||||
@@ -67,15 +67,6 @@ parameter_rules:
|
||||
help:
|
||||
zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。
|
||||
en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment.
|
||||
- name: enable_search
|
||||
type: boolean
|
||||
default: false
|
||||
label:
|
||||
zh_Hans: 联网搜索
|
||||
en_US: Web Search
|
||||
help:
|
||||
zh_Hans: 模型内置了互联网搜索服务，该参数控制模型在生成文本时是否参考使用互联网搜索结果。启用互联网搜索，模型会将搜索结果作为文本生成过程中的参考信息，但模型会基于其内部逻辑“自行判断”是否使用互联网搜索结果。
|
||||
en_US: The model has a built-in Internet search service. This parameter controls whether the model refers to Internet search results when generating text. When Internet search is enabled, the model will use the search results as reference information in the text generation process, but the model will "judge" whether to use Internet search results based on its internal logic.
|
||||
- name: response_format
|
||||
use_template: response_format
|
||||
pricing:
|
||||
|
||||
@@ -69,15 +69,6 @@ parameter_rules:
|
||||
help:
|
||||
zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。
|
||||
en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment.
|
||||
- name: enable_search
|
||||
type: boolean
|
||||
default: false
|
||||
label:
|
||||
zh_Hans: 联网搜索
|
||||
en_US: Web Search
|
||||
help:
|
||||
zh_Hans: 模型内置了互联网搜索服务，该参数控制模型在生成文本时是否参考使用互联网搜索结果。启用互联网搜索，模型会将搜索结果作为文本生成过程中的参考信息，但模型会基于其内部逻辑“自行判断”是否使用互联网搜索结果。
|
||||
en_US: The model has a built-in Internet search service. This parameter controls whether the model refers to Internet search results when generating text. When Internet search is enabled, the model will use the search results as reference information in the text generation process, but the model will "judge" whether to use Internet search results based on its internal logic.
|
||||
- name: response_format
|
||||
use_template: response_format
|
||||
pricing:
|
||||
|
||||
@@ -67,15 +67,6 @@ parameter_rules:
|
||||
help:
|
||||
zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。
|
||||
en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment.
|
||||
- name: enable_search
|
||||
type: boolean
|
||||
default: false
|
||||
label:
|
||||
zh_Hans: 联网搜索
|
||||
en_US: Web Search
|
||||
help:
|
||||
zh_Hans: 模型内置了互联网搜索服务，该参数控制模型在生成文本时是否参考使用互联网搜索结果。启用互联网搜索，模型会将搜索结果作为文本生成过程中的参考信息，但模型会基于其内部逻辑“自行判断”是否使用互联网搜索结果。
|
||||
en_US: The model has a built-in Internet search service. This parameter controls whether the model refers to Internet search results when generating text. When Internet search is enabled, the model will use the search results as reference information in the text generation process, but the model will "judge" whether to use Internet search results based on its internal logic.
|
||||
- name: response_format
|
||||
use_template: response_format
|
||||
pricing:
|
||||
|
||||
@@ -1,22 +0,0 @@
|
||||
- claude-3-haiku@20240307
|
||||
- claude-3-opus@20240229
|
||||
- claude-3-sonnet@20240229
|
||||
- claude-3-5-sonnet-v2@20241022
|
||||
- claude-3-5-sonnet@20240620
|
||||
- gemini-1.0-pro-vision-001
|
||||
- gemini-1.0-pro-002
|
||||
- gemini-1.5-flash-001
|
||||
- gemini-1.5-flash-002
|
||||
- gemini-1.5-pro-001
|
||||
- gemini-1.5-pro-002
|
||||
- gemini-2.0-flash-001
|
||||
- gemini-2.0-flash-exp
|
||||
- gemini-2.0-flash-lite-preview-02-05
|
||||
- gemini-2.0-flash-thinking-exp-01-21
|
||||
- gemini-2.0-flash-thinking-exp-1219
|
||||
- gemini-2.0-pro-exp-02-05
|
||||
- gemini-exp-1114
|
||||
- gemini-exp-1121
|
||||
- gemini-exp-1206
|
||||
- gemini-flash-experimental
|
||||
- gemini-pro-experimental
|
||||
@@ -1,4 +1,5 @@
|
||||
import logging
|
||||
import re
|
||||
from collections.abc import Generator
|
||||
from typing import Optional
|
||||
|
||||
@@ -230,17 +231,6 @@ class VolcengineMaaSLargeLanguageModel(LargeLanguageModel):
|
||||
return _handle_chat_response()
|
||||
return _handle_stream_chat_response()
|
||||
|
||||
def wrap_thinking(self, delta: dict, is_reasoning: bool) -> tuple[str, bool]:
|
||||
content = ""
|
||||
reasoning_content = None
|
||||
if hasattr(delta, "content"):
|
||||
content = delta.content
|
||||
if hasattr(delta, "reasoning_content"):
|
||||
reasoning_content = delta.reasoning_content
|
||||
return self._wrap_thinking_by_reasoning_content(
|
||||
{"content": content, "reasoning_content": reasoning_content}, is_reasoning
|
||||
)
|
||||
|
||||
def _generate_v3(
|
||||
self,
|
||||
model: str,
|
||||
@@ -263,7 +253,22 @@ class VolcengineMaaSLargeLanguageModel(LargeLanguageModel):
|
||||
content = ""
|
||||
if chunk.choices:
|
||||
delta = chunk.choices[0].delta
|
||||
content, is_reasoning_started = self.wrap_thinking(delta, is_reasoning_started)
|
||||
if is_reasoning_started and not hasattr(delta, "reasoning_content") and not delta.content:
|
||||
content = ""
|
||||
elif hasattr(delta, "reasoning_content"):
|
||||
if not is_reasoning_started:
|
||||
is_reasoning_started = True
|
||||
content = "> 💭 " + delta.reasoning_content
|
||||
else:
|
||||
content = delta.reasoning_content
|
||||
|
||||
if "\n" in content:
|
||||
content = re.sub(r"\n(?!(>|\n))", "\n> ", content)
|
||||
elif is_reasoning_started:
|
||||
content = "\n\n" + delta.content
|
||||
is_reasoning_started = False
|
||||
else:
|
||||
content = delta.content
|
||||
|
||||
yield LLMResultChunk(
|
||||
model=model,
|
||||
@@ -328,71 +333,54 @@ class VolcengineMaaSLargeLanguageModel(LargeLanguageModel):
|
||||
"""
|
||||
model_config = get_model_config(credentials)
|
||||
|
||||
if model.startswith("DeepSeek-R1"):
|
||||
rules = [
|
||||
ParameterRule(
|
||||
name="max_tokens",
|
||||
type=ParameterType.INT,
|
||||
use_template="max_tokens",
|
||||
min=1,
|
||||
max=model_config.properties.max_tokens,
|
||||
default=512,
|
||||
label=I18nObject(zh_Hans="最大生成长度", en_US="Max Tokens"),
|
||||
rules = [
|
||||
ParameterRule(
|
||||
name="temperature",
|
||||
type=ParameterType.FLOAT,
|
||||
use_template="temperature",
|
||||
label=I18nObject(zh_Hans="温度", en_US="Temperature"),
|
||||
),
|
||||
ParameterRule(
|
||||
name="top_p",
|
||||
type=ParameterType.FLOAT,
|
||||
use_template="top_p",
|
||||
label=I18nObject(zh_Hans="Top P", en_US="Top P"),
|
||||
),
|
||||
ParameterRule(
|
||||
name="top_k", type=ParameterType.INT, min=1, default=1, label=I18nObject(zh_Hans="Top K", en_US="Top K")
|
||||
),
|
||||
ParameterRule(
|
||||
name="presence_penalty",
|
||||
type=ParameterType.FLOAT,
|
||||
use_template="presence_penalty",
|
||||
label=I18nObject(
|
||||
en_US="Presence Penalty",
|
||||
zh_Hans="存在惩罚",
|
||||
),
|
||||
]
|
||||
else:
|
||||
rules = [
|
||||
ParameterRule(
|
||||
name="temperature",
|
||||
type=ParameterType.FLOAT,
|
||||
use_template="temperature",
|
||||
label=I18nObject(zh_Hans="温度", en_US="Temperature"),
|
||||
min=-2.0,
|
||||
max=2.0,
|
||||
),
|
||||
ParameterRule(
|
||||
name="frequency_penalty",
|
||||
type=ParameterType.FLOAT,
|
||||
use_template="frequency_penalty",
|
||||
label=I18nObject(
|
||||
en_US="Frequency Penalty",
|
||||
zh_Hans="频率惩罚",
|
||||
),
|
||||
ParameterRule(
|
||||
name="top_p",
|
||||
type=ParameterType.FLOAT,
|
||||
use_template="top_p",
|
||||
label=I18nObject(zh_Hans="Top P", en_US="Top P"),
|
||||
),
|
||||
ParameterRule(
|
||||
name="top_k",
|
||||
type=ParameterType.INT,
|
||||
min=1,
|
||||
default=1,
|
||||
label=I18nObject(zh_Hans="Top K", en_US="Top K"),
|
||||
),
|
||||
ParameterRule(
|
||||
name="presence_penalty",
|
||||
type=ParameterType.FLOAT,
|
||||
use_template="presence_penalty",
|
||||
label=I18nObject(
|
||||
en_US="Presence Penalty",
|
||||
zh_Hans="存在惩罚",
|
||||
),
|
||||
min=-2.0,
|
||||
max=2.0,
|
||||
),
|
||||
ParameterRule(
|
||||
name="frequency_penalty",
|
||||
type=ParameterType.FLOAT,
|
||||
use_template="frequency_penalty",
|
||||
label=I18nObject(
|
||||
en_US="Frequency Penalty",
|
||||
zh_Hans="频率惩罚",
|
||||
),
|
||||
min=-2.0,
|
||||
max=2.0,
|
||||
),
|
||||
ParameterRule(
|
||||
name="max_tokens",
|
||||
type=ParameterType.INT,
|
||||
use_template="max_tokens",
|
||||
min=1,
|
||||
max=model_config.properties.max_tokens,
|
||||
default=512,
|
||||
label=I18nObject(zh_Hans="最大生成长度", en_US="Max Tokens"),
|
||||
),
|
||||
]
|
||||
min=-2.0,
|
||||
max=2.0,
|
||||
),
|
||||
ParameterRule(
|
||||
name="max_tokens",
|
||||
type=ParameterType.INT,
|
||||
use_template="max_tokens",
|
||||
min=1,
|
||||
max=model_config.properties.max_tokens,
|
||||
default=512,
|
||||
label=I18nObject(zh_Hans="最大生成长度", en_US="Max Tokens"),
|
||||
),
|
||||
]
|
||||
|
||||
model_properties = {}
|
||||
model_properties[ModelPropertyKey.CONTEXT_SIZE] = model_config.properties.context_size
|
||||
|
||||
@@ -654,6 +654,7 @@ class XinferenceAILargeLanguageModel(LargeLanguageModel):
|
||||
if function_call:
|
||||
assistant_message_tool_calls += [self._extract_response_function_call(function_call)]
|
||||
|
||||
delta_content = self._wrap_thinking_by_tag(delta_content)
|
||||
# transform assistant message to prompt message
|
||||
assistant_prompt_message = AssistantPromptMessage(
|
||||
content=delta_content or "", tool_calls=assistant_message_tool_calls
|
||||
|
||||
@@ -452,9 +452,11 @@ class ProviderManager:
|
||||
|
||||
provider_name_to_provider_load_balancing_model_configs_dict = defaultdict(list)
|
||||
for provider_load_balancing_config in provider_load_balancing_configs:
|
||||
provider_name_to_provider_load_balancing_model_configs_dict[
|
||||
provider_load_balancing_config.provider_name
|
||||
].append(provider_load_balancing_config)
|
||||
(
|
||||
provider_name_to_provider_load_balancing_model_configs_dict[
|
||||
provider_load_balancing_config.provider_name
|
||||
].append(provider_load_balancing_config)
|
||||
)
|
||||
|
||||
return provider_name_to_provider_load_balancing_model_configs_dict
|
||||
|
||||
|
||||
@@ -1,4 +1,3 @@
|
||||
import json
|
||||
import threading
|
||||
from typing import Optional
|
||||
|
||||
@@ -172,7 +171,7 @@ class RetrievalService:
|
||||
vector = Vector(dataset=dataset)
|
||||
|
||||
documents = vector.search_by_vector(
|
||||
query,
|
||||
cls.escape_query_for_search(query),
|
||||
search_type="similarity_score_threshold",
|
||||
top_k=top_k,
|
||||
score_threshold=score_threshold,
|
||||
@@ -251,7 +250,7 @@ class RetrievalService:
|
||||
|
||||
@staticmethod
|
||||
def escape_query_for_search(query: str) -> str:
|
||||
return json.dumps(query).strip('"')
|
||||
return query.replace('"', '\\"')
|
||||
|
||||
@staticmethod
|
||||
def format_retrieval_documents(documents: list[Document]) -> list[RetrievalSegments]:
|
||||
|
||||
@@ -9,7 +9,6 @@ from sqlalchemy import text as sql_text
|
||||
from sqlalchemy.orm import Session, declarative_base
|
||||
|
||||
from configs import dify_config
|
||||
from core.rag.datasource.vdb.field import Field
|
||||
from core.rag.datasource.vdb.vector_base import BaseVector
|
||||
from core.rag.datasource.vdb.vector_factory import AbstractVectorFactory
|
||||
from core.rag.datasource.vdb.vector_type import VectorType
|
||||
@@ -55,13 +54,14 @@ class TiDBVector(BaseVector):
|
||||
return Table(
|
||||
self._collection_name,
|
||||
self._orm_base.metadata,
|
||||
Column(Field.PRIMARY_KEY.value, String(36), primary_key=True, nullable=False),
|
||||
Column("id", String(36), primary_key=True, nullable=False),
|
||||
Column(
|
||||
Field.VECTOR.value,
|
||||
"vector",
|
||||
VectorType(dim),
|
||||
nullable=False,
|
||||
comment="" if self._distance_func is None else f"hnsw(distance={self._distance_func})",
|
||||
),
|
||||
Column(Field.TEXT_KEY.value, TEXT, nullable=False),
|
||||
Column("text", TEXT, nullable=False),
|
||||
Column("meta", JSON, nullable=False),
|
||||
Column("create_time", DateTime, server_default=sqlalchemy.text("CURRENT_TIMESTAMP")),
|
||||
Column(
|
||||
@@ -96,7 +96,6 @@ class TiDBVector(BaseVector):
|
||||
collection_exist_cache_key = "vector_indexing_{}".format(self._collection_name)
|
||||
if redis_client.get(collection_exist_cache_key):
|
||||
return
|
||||
tidb_dist_func = self._get_distance_func()
|
||||
with Session(self._engine) as session:
|
||||
session.begin()
|
||||
create_statement = sql_text(f"""
|
||||
@@ -105,14 +104,14 @@ class TiDBVector(BaseVector):
|
||||
text TEXT NOT NULL,
|
||||
meta JSON NOT NULL,
|
||||
doc_id VARCHAR(64) AS (JSON_UNQUOTE(JSON_EXTRACT(meta, '$.doc_id'))) STORED,
|
||||
vector VECTOR<FLOAT>({dimension}) NOT NULL,
|
||||
create_time DATETIME DEFAULT CURRENT_TIMESTAMP,
|
||||
update_time DATETIME DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP,
|
||||
KEY (doc_id),
|
||||
VECTOR INDEX idx_vector (({tidb_dist_func}(vector))) USING HNSW
|
||||
vector VECTOR<FLOAT>({dimension}) NOT NULL COMMENT "hnsw(distance={self._distance_func})",
|
||||
create_time DATETIME DEFAULT CURRENT_TIMESTAMP,
|
||||
update_time DATETIME DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP
|
||||
);
|
||||
""")
|
||||
session.execute(create_statement)
|
||||
# tidb vector not support 'CREATE/ADD INDEX' now
|
||||
session.commit()
|
||||
redis_client.set(collection_exist_cache_key, 1, ex=3600)
|
||||
|
||||
@@ -195,30 +194,23 @@ class TiDBVector(BaseVector):
|
||||
)
|
||||
|
||||
docs = []
|
||||
tidb_dist_func = self._get_distance_func()
|
||||
if self._distance_func == "l2":
|
||||
tidb_func = "Vec_l2_distance"
|
||||
elif self._distance_func == "cosine":
|
||||
tidb_func = "Vec_Cosine_distance"
|
||||
else:
|
||||
tidb_func = "Vec_Cosine_distance"
|
||||
|
||||
with Session(self._engine) as session:
|
||||
select_statement = sql_text(f"""
|
||||
SELECT meta, text, distance
|
||||
FROM (
|
||||
SELECT
|
||||
meta,
|
||||
text,
|
||||
{tidb_dist_func}(vector, :query_vector_str) AS distance
|
||||
FROM {self._collection_name}
|
||||
ORDER BY distance ASC
|
||||
LIMIT :top_k
|
||||
) t
|
||||
WHERE distance <= :distance
|
||||
""")
|
||||
res = session.execute(
|
||||
select_statement,
|
||||
params={
|
||||
"query_vector_str": query_vector_str,
|
||||
"distance": distance,
|
||||
"top_k": top_k,
|
||||
},
|
||||
select_statement = sql_text(
|
||||
f"""SELECT meta, text, distance FROM (
|
||||
SELECT meta, text, {tidb_func}(vector, "{query_vector_str}") as distance
|
||||
FROM {self._collection_name}
|
||||
ORDER BY distance
|
||||
LIMIT {top_k}
|
||||
) t WHERE distance < {distance};"""
|
||||
)
|
||||
res = session.execute(select_statement)
|
||||
results = [(row[0], row[1], row[2]) for row in res]
|
||||
for meta, text, distance in results:
|
||||
metadata = json.loads(meta)
|
||||
@@ -235,16 +227,6 @@ class TiDBVector(BaseVector):
|
||||
session.execute(sql_text(f"""DROP TABLE IF EXISTS {self._collection_name};"""))
|
||||
session.commit()
|
||||
|
||||
def _get_distance_func(self) -> str:
|
||||
match self._distance_func:
|
||||
case "l2":
|
||||
tidb_dist_func = "VEC_L2_DISTANCE"
|
||||
case "cosine":
|
||||
tidb_dist_func = "VEC_COSINE_DISTANCE"
|
||||
case _:
|
||||
tidb_dist_func = "VEC_COSINE_DISTANCE"
|
||||
return tidb_dist_func
|
||||
|
||||
|
||||
class TiDBVectorFactory(AbstractVectorFactory):
|
||||
def init_vector(self, dataset: Dataset, attributes: list, embeddings: Embeddings) -> TiDBVector:
|
||||
|
||||
@@ -195,14 +195,14 @@ class WorkflowTool(Tool):
|
||||
if isinstance(value, list):
|
||||
for item in value:
|
||||
if isinstance(item, dict) and item.get("dify_model_identity") == FILE_MODEL_IDENTITY:
|
||||
item = self._update_file_mapping(item)
|
||||
item["tool_file_id"] = item.get("related_id")
|
||||
file = build_from_mapping(
|
||||
mapping=item,
|
||||
tenant_id=str(cast(Tool.Runtime, self.runtime).tenant_id),
|
||||
)
|
||||
files.append(file)
|
||||
elif isinstance(value, dict) and value.get("dify_model_identity") == FILE_MODEL_IDENTITY:
|
||||
value = self._update_file_mapping(value)
|
||||
value["tool_file_id"] = value.get("related_id")
|
||||
file = build_from_mapping(
|
||||
mapping=value,
|
||||
tenant_id=str(cast(Tool.Runtime, self.runtime).tenant_id),
|
||||
@@ -211,11 +211,3 @@ class WorkflowTool(Tool):
|
||||
|
||||
result[key] = value
|
||||
return result, files
|
||||
|
||||
def _update_file_mapping(self, file_dict: dict) -> dict:
|
||||
transfer_method = FileTransferMethod.value_of(file_dict.get("transfer_method"))
|
||||
if transfer_method == FileTransferMethod.TOOL_FILE:
|
||||
file_dict["tool_file_id"] = file_dict.get("related_id")
|
||||
elif transfer_method == FileTransferMethod.LOCAL_FILE:
|
||||
file_dict["upload_file_id"] = file_dict.get("related_id")
|
||||
return file_dict
|
||||
|
||||
@@ -648,7 +648,7 @@ class GraphEngine:
|
||||
retries += 1
|
||||
route_node_state.node_run_result = run_result
|
||||
yield NodeRunRetryEvent(
|
||||
id=str(uuid.uuid4()),
|
||||
id=node_instance.id,
|
||||
node_id=node_instance.node_id,
|
||||
node_type=node_instance.node_type,
|
||||
node_data=node_instance.node_data,
|
||||
@@ -663,7 +663,7 @@ class GraphEngine:
|
||||
start_at=retry_start_at,
|
||||
)
|
||||
time.sleep(retry_interval)
|
||||
break
|
||||
continue
|
||||
route_node_state.set_finished(run_result=run_result)
|
||||
|
||||
if run_result.status == WorkflowNodeExecutionStatus.FAILED:
|
||||
|
||||
@@ -107,10 +107,8 @@ def _extract_text_by_mime_type(*, file_content: bytes, mime_type: str) -> str:
|
||||
return _extract_text_from_plain_text(file_content)
|
||||
case "application/pdf":
|
||||
return _extract_text_from_pdf(file_content)
|
||||
case "application/msword":
|
||||
case "application/vnd.openxmlformats-officedocument.wordprocessingml.document" | "application/msword":
|
||||
return _extract_text_from_doc(file_content)
|
||||
case "application/vnd.openxmlformats-officedocument.wordprocessingml.document":
|
||||
return _extract_text_from_docx(file_content)
|
||||
case "text/csv":
|
||||
return _extract_text_from_csv(file_content)
|
||||
case "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet" | "application/vnd.ms-excel":
|
||||
@@ -144,10 +142,8 @@ def _extract_text_by_file_extension(*, file_content: bytes, file_extension: str)
|
||||
return _extract_text_from_yaml(file_content)
|
||||
case ".pdf":
|
||||
return _extract_text_from_pdf(file_content)
|
||||
case ".doc":
|
||||
case ".doc" | ".docx":
|
||||
return _extract_text_from_doc(file_content)
|
||||
case ".docx":
|
||||
return _extract_text_from_docx(file_content)
|
||||
case ".csv":
|
||||
return _extract_text_from_csv(file_content)
|
||||
case ".xls" | ".xlsx":
|
||||
@@ -207,33 +203,7 @@ def _extract_text_from_pdf(file_content: bytes) -> str:
|
||||
|
||||
def _extract_text_from_doc(file_content: bytes) -> str:
|
||||
"""
|
||||
Extract text from a DOC file.
|
||||
"""
|
||||
from unstructured.partition.api import partition_via_api
|
||||
|
||||
if not (dify_config.UNSTRUCTURED_API_URL and dify_config.UNSTRUCTURED_API_KEY):
|
||||
raise TextExtractionError("UNSTRUCTURED_API_URL and UNSTRUCTURED_API_KEY must be set")
|
||||
|
||||
try:
|
||||
with tempfile.NamedTemporaryFile(suffix=".doc", delete=False) as temp_file:
|
||||
temp_file.write(file_content)
|
||||
temp_file.flush()
|
||||
with open(temp_file.name, "rb") as file:
|
||||
elements = partition_via_api(
|
||||
file=file,
|
||||
metadata_filename=temp_file.name,
|
||||
api_url=dify_config.UNSTRUCTURED_API_URL,
|
||||
api_key=dify_config.UNSTRUCTURED_API_KEY,
|
||||
)
|
||||
os.unlink(temp_file.name)
|
||||
return "\n".join([getattr(element, "text", "") for element in elements])
|
||||
except Exception as e:
|
||||
raise TextExtractionError(f"Failed to extract text from DOC: {str(e)}") from e
|
||||
|
||||
|
||||
def _extract_text_from_docx(file_content: bytes) -> str:
|
||||
"""
|
||||
Extract text from a DOCX file.
|
||||
Extract text from a DOC/DOCX file.
|
||||
For now support only paragraph and table add more if needed
|
||||
"""
|
||||
try:
|
||||
@@ -285,13 +255,13 @@ def _extract_text_from_docx(file_content: bytes) -> str:
|
||||
|
||||
text.append(markdown_table)
|
||||
except Exception as e:
|
||||
logger.warning(f"Failed to extract table from DOC: {e}")
|
||||
logger.warning(f"Failed to extract table from DOC/DOCX: {e}")
|
||||
continue
|
||||
|
||||
return "\n".join(text)
|
||||
|
||||
except Exception as e:
|
||||
raise TextExtractionError(f"Failed to extract text from DOCX: {str(e)}") from e
|
||||
raise TextExtractionError(f"Failed to extract text from DOC/DOCX: {str(e)}") from e
|
||||
|
||||
|
||||
def _download_file_content(file: File) -> bytes:
|
||||
@@ -359,29 +329,14 @@ def _extract_text_from_excel(file_content: bytes) -> str:
|
||||
|
||||
|
||||
def _extract_text_from_ppt(file_content: bytes) -> str:
|
||||
from unstructured.partition.api import partition_via_api
|
||||
from unstructured.partition.ppt import partition_ppt
|
||||
|
||||
try:
|
||||
if dify_config.UNSTRUCTURED_API_URL and dify_config.UNSTRUCTURED_API_KEY:
|
||||
with tempfile.NamedTemporaryFile(suffix=".ppt", delete=False) as temp_file:
|
||||
temp_file.write(file_content)
|
||||
temp_file.flush()
|
||||
with open(temp_file.name, "rb") as file:
|
||||
elements = partition_via_api(
|
||||
file=file,
|
||||
metadata_filename=temp_file.name,
|
||||
api_url=dify_config.UNSTRUCTURED_API_URL,
|
||||
api_key=dify_config.UNSTRUCTURED_API_KEY,
|
||||
)
|
||||
os.unlink(temp_file.name)
|
||||
else:
|
||||
with io.BytesIO(file_content) as file:
|
||||
elements = partition_ppt(file=file)
|
||||
with io.BytesIO(file_content) as file:
|
||||
elements = partition_ppt(file=file)
|
||||
return "\n".join([getattr(element, "text", "") for element in elements])
|
||||
|
||||
except Exception as e:
|
||||
raise TextExtractionError(f"Failed to extract text from PPTX: {str(e)}") from e
|
||||
raise TextExtractionError(f"Failed to extract text from PPT: {str(e)}") from e
|
||||
|
||||
|
||||
def _extract_text_from_pptx(file_content: bytes) -> str:
|
||||
|
||||
@@ -6,4 +6,4 @@ def init_app(app: DifyApp):
|
||||
if dify_config.RESPECT_XFORWARD_HEADERS_ENABLED:
|
||||
from werkzeug.middleware.proxy_fix import ProxyFix
|
||||
|
||||
app.wsgi_app = ProxyFix(app.wsgi_app, x_port=1) # type: ignore
|
||||
app.wsgi_app = ProxyFix(app.wsgi_app) # type: ignore
|
||||
|
||||
@@ -32,11 +32,7 @@ class AwsS3Storage(BaseStorage):
|
||||
aws_access_key_id=dify_config.S3_ACCESS_KEY,
|
||||
endpoint_url=dify_config.S3_ENDPOINT,
|
||||
region_name=dify_config.S3_REGION,
|
||||
config=Config(
|
||||
s3={"addressing_style": dify_config.S3_ADDRESS_STYLE},
|
||||
request_checksum_calculation="when_required",
|
||||
response_checksum_validation="when_required",
|
||||
),
|
||||
config=Config(s3={"addressing_style": dify_config.S3_ADDRESS_STYLE}),
|
||||
)
|
||||
# create bucket
|
||||
try:
|
||||
|
||||
363
api/poetry.lock
generated
363
api/poetry.lock
generated
@@ -568,13 +568,13 @@ cryptography = "*"
|
||||
|
||||
[[package]]
|
||||
name = "azure-ai-inference"
|
||||
version = "1.0.0b8"
|
||||
version = "1.0.0b9"
|
||||
description = "Microsoft Azure AI Inference Client Library for Python"
|
||||
optional = false
|
||||
python-versions = ">=3.8"
|
||||
files = [
|
||||
{file = "azure_ai_inference-1.0.0b8-py3-none-any.whl", hash = "sha256:9bfcfe6ef5b1699fed6c70058027c253bcbc88f4730e7409fbfc675636ec05e4"},
|
||||
{file = "azure_ai_inference-1.0.0b8.tar.gz", hash = "sha256:b7bcaaac5f53f2be06804ac6c755be9583ac6ba99df533a3970da081838b4cc1"},
|
||||
{file = "azure_ai_inference-1.0.0b9-py3-none-any.whl", hash = "sha256:49823732e674092dad83bb8b0d1b65aa73111fab924d61349eb2a8cdc0493990"},
|
||||
{file = "azure_ai_inference-1.0.0b9.tar.gz", hash = "sha256:1feb496bd84b01ee2691befc04358fa25d7c344d8288e99364438859ad7cd5a4"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
@@ -842,32 +842,32 @@ files = [
|
||||
|
||||
[[package]]
|
||||
name = "boto3"
|
||||
version = "1.36.12"
|
||||
version = "1.35.74"
|
||||
description = "The AWS SDK for Python"
|
||||
optional = false
|
||||
python-versions = ">=3.8"
|
||||
files = [
|
||||
{file = "boto3-1.36.12-py3-none-any.whl", hash = "sha256:32cdf0967287f3ec25a9dc09df0d29cb86b8900c3e0546a63d672775d8127abf"},
|
||||
{file = "boto3-1.36.12.tar.gz", hash = "sha256:287d84f49bba3255a17b374578127d42b6251e72f55914a62e0ad9ca78c0954b"},
|
||||
{file = "boto3-1.35.74-py3-none-any.whl", hash = "sha256:dab5bddbbe57dc707b6f6a1f25dc2823b8e234b6fe99fafef7fc406ab73031b9"},
|
||||
{file = "boto3-1.35.74.tar.gz", hash = "sha256:88370c6845ba71a4dae7f6b357099df29b3965da584be040c8e72c9902bc9492"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
botocore = ">=1.36.12,<1.37.0"
|
||||
botocore = ">=1.35.74,<1.36.0"
|
||||
jmespath = ">=0.7.1,<2.0.0"
|
||||
s3transfer = ">=0.11.0,<0.12.0"
|
||||
s3transfer = ">=0.10.0,<0.11.0"
|
||||
|
||||
[package.extras]
|
||||
crt = ["botocore[crt] (>=1.21.0,<2.0a0)"]
|
||||
|
||||
[[package]]
|
||||
name = "botocore"
|
||||
version = "1.36.19"
|
||||
version = "1.35.99"
|
||||
description = "Low-level, data-driven core of boto 3."
|
||||
optional = false
|
||||
python-versions = ">=3.8"
|
||||
files = [
|
||||
{file = "botocore-1.36.19-py3-none-any.whl", hash = "sha256:98882c106fec4c08678ea028199f7f5119550fab95d682b30846f7aae04b7bec"},
|
||||
{file = "botocore-1.36.19.tar.gz", hash = "sha256:cdf6729f601f82b1acdb9004b1f88b57cfb470f576394cdb3bbf5150f7fafb5b"},
|
||||
{file = "botocore-1.35.99-py3-none-any.whl", hash = "sha256:b22d27b6b617fc2d7342090d6129000af2efd20174215948c0d7ae2da0fab445"},
|
||||
{file = "botocore-1.35.99.tar.gz", hash = "sha256:1eab44e969c39c5f3d9a3104a0836c24715579a455f12b3979a31d7cde51b3c3"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
@@ -876,7 +876,7 @@ python-dateutil = ">=2.1,<3.0.0"
|
||||
urllib3 = {version = ">=1.25.4,<2.2.0 || >2.2.0,<3", markers = "python_version >= \"3.10\""}
|
||||
|
||||
[package.extras]
|
||||
crt = ["awscrt (==0.23.8)"]
|
||||
crt = ["awscrt (==0.22.0)"]
|
||||
|
||||
[[package]]
|
||||
name = "bottleneck"
|
||||
@@ -3485,13 +3485,13 @@ grpc = ["grpcio (>=1.44.0,<2.0.0.dev0)"]
|
||||
|
||||
[[package]]
|
||||
name = "gotrue"
|
||||
version = "2.11.3"
|
||||
version = "2.11.4"
|
||||
description = "Python Client Library for Supabase Auth"
|
||||
optional = false
|
||||
python-versions = "<4.0,>=3.9"
|
||||
files = [
|
||||
{file = "gotrue-2.11.3-py3-none-any.whl", hash = "sha256:8ad90771ff6b8ede180cf6242c5b0246b9288ad58b57ce0387ef94166e84284b"},
|
||||
{file = "gotrue-2.11.3.tar.gz", hash = "sha256:14b03eb856b94a96fab73c8d41970ad645a74326ee4da95e66395e6b2c208ff7"},
|
||||
{file = "gotrue-2.11.4-py3-none-any.whl", hash = "sha256:712e5018acc00d93cfc6d7bfddc3114eb3c420ab03b945757a8ba38c5fc3caa8"},
|
||||
{file = "gotrue-2.11.4.tar.gz", hash = "sha256:a9ced242b16c6d6bedc43bca21bbefea1ba5fb35fcdaad7d529342099d3b1767"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
@@ -4569,13 +4569,13 @@ zookeeper = ["kazoo (>=2.8.0)"]
|
||||
|
||||
[[package]]
|
||||
name = "kubernetes"
|
||||
version = "32.0.0"
|
||||
version = "32.0.1"
|
||||
description = "Kubernetes python client"
|
||||
optional = false
|
||||
python-versions = ">=3.6"
|
||||
files = [
|
||||
{file = "kubernetes-32.0.0-py2.py3-none-any.whl", hash = "sha256:60fd8c29e8e43d9c553ca4811895a687426717deba9c0a66fb2dcc3f5ef96692"},
|
||||
{file = "kubernetes-32.0.0.tar.gz", hash = "sha256:319fa840345a482001ac5d6062222daeb66ec4d1bcb3087402aed685adf0aecb"},
|
||||
{file = "kubernetes-32.0.1-py2.py3-none-any.whl", hash = "sha256:35282ab8493b938b08ab5526c7ce66588232df00ef5e1dbe88a419107dc10998"},
|
||||
{file = "kubernetes-32.0.1.tar.gz", hash = "sha256:42f43d49abd437ada79a79a16bd48a604d3471a117a8347e87db693f2ba0ba28"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
@@ -4759,13 +4759,13 @@ rapidfuzz = ">=3.9.0,<4.0.0"
|
||||
|
||||
[[package]]
|
||||
name = "litellm"
|
||||
version = "1.61.1"
|
||||
version = "1.61.11"
|
||||
description = "Library to easily interface with LLM API providers"
|
||||
optional = false
|
||||
python-versions = "!=2.7.*,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,!=3.7.*,>=3.8"
|
||||
files = [
|
||||
{file = "litellm-1.61.1-py3-none-any.whl", hash = "sha256:3bb546209979831c0440580b8b2309a138a4ad74ddb68309c5b619916b215bf2"},
|
||||
{file = "litellm-1.61.1.tar.gz", hash = "sha256:2d02c702444703e7b9e5b960c80a2acda764314497053b0ca5d2ec47329d70a9"},
|
||||
{file = "litellm-1.61.11-py3-none-any.whl", hash = "sha256:48afe10a3528348b22eef4566972c6606828e7cb6e01d521aaf88d6ea8787472"},
|
||||
{file = "litellm-1.61.11.tar.gz", hash = "sha256:2cb991e3ad21f84ad73259e5004ae3ea710b3104c17eb78800cef80bb482317e"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
@@ -5273,13 +5273,13 @@ tqdm = "*"
|
||||
|
||||
[[package]]
|
||||
name = "mistune"
|
||||
version = "3.1.1"
|
||||
version = "3.1.2"
|
||||
description = "A sane and fast Markdown parser with useful plugins and renderers"
|
||||
optional = false
|
||||
python-versions = ">=3.8"
|
||||
files = [
|
||||
{file = "mistune-3.1.1-py3-none-any.whl", hash = "sha256:02106ac2aa4f66e769debbfa028509a275069dcffce0dfa578edd7b991ee700a"},
|
||||
{file = "mistune-3.1.1.tar.gz", hash = "sha256:e0740d635f515119f7d1feb6f9b192ee60f0cc649f80a8f944f905706a21654c"},
|
||||
{file = "mistune-3.1.2-py3-none-any.whl", hash = "sha256:4b47731332315cdca99e0ded46fc0004001c1299ff773dfb48fbe1fd226de319"},
|
||||
{file = "mistune-3.1.2.tar.gz", hash = "sha256:733bf018ba007e8b5f2d3a9eb624034f6ee26c4ea769a98ec533ee111d504dff"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
@@ -5701,20 +5701,20 @@ files = [
|
||||
|
||||
[[package]]
|
||||
name = "narwhals"
|
||||
version = "1.26.0"
|
||||
version = "1.27.1"
|
||||
description = "Extremely lightweight compatibility layer between dataframe libraries"
|
||||
optional = false
|
||||
python-versions = ">=3.8"
|
||||
files = [
|
||||
{file = "narwhals-1.26.0-py3-none-any.whl", hash = "sha256:4af8bbdea9e45638bb9a981568a8dfa880e40eb7dcf740d19fd32aea79223c6f"},
|
||||
{file = "narwhals-1.26.0.tar.gz", hash = "sha256:b9d7605bf1d97a9d87783a69748c39150964e2a1ab0e5a6fef3e59e56772639e"},
|
||||
{file = "narwhals-1.27.1-py3-none-any.whl", hash = "sha256:71e4a126007886e3dd9d71d0d5921ebd2e8c1f9be9c405fe11850ece2b066c59"},
|
||||
{file = "narwhals-1.27.1.tar.gz", hash = "sha256:68505d0cee1e6c00382ac8b65e922f8b694a11cbe482a057fa63139de8d0ea03"},
|
||||
]
|
||||
|
||||
[package.extras]
|
||||
core = ["duckdb", "pandas", "polars", "pyarrow", "pyarrow-stubs"]
|
||||
cudf = ["cudf (>=24.10.0)"]
|
||||
dask = ["dask[dataframe] (>=2024.8)"]
|
||||
dev = ["covdefaults", "hypothesis", "pre-commit", "pytest", "pytest-cov", "pytest-env", "pytest-randomly", "typing-extensions"]
|
||||
dev = ["covdefaults", "hypothesis", "mypy (>=1.15.0,<1.16.0)", "pandas-stubs", "pre-commit", "pytest", "pytest-cov", "pytest-env", "pytest-randomly", "typing-extensions"]
|
||||
docs = ["black", "duckdb", "jinja2", "markdown-exec[ansi]", "mkdocs", "mkdocs-autorefs", "mkdocs-material", "mkdocstrings[python]", "pandas", "polars (>=1.0.0)", "pyarrow"]
|
||||
duckdb = ["duckdb (>=1.0)"]
|
||||
extra = ["scikit-learn"]
|
||||
@@ -5724,6 +5724,8 @@ pandas = ["pandas (>=0.25.3)"]
|
||||
polars = ["polars (>=0.20.3)"]
|
||||
pyarrow = ["pyarrow (>=11.0.0)"]
|
||||
pyspark = ["pyspark (>=3.5.0)"]
|
||||
tests = ["covdefaults", "hypothesis", "pytest", "pytest-cov", "pytest-env", "pytest-randomly", "typing-extensions"]
|
||||
typing = ["mypy (>=1.15.0,<1.16.0)", "pandas-stubs", "typing-extensions"]
|
||||
|
||||
[[package]]
|
||||
name = "nest-asyncio"
|
||||
@@ -6909,13 +6911,13 @@ pydantic = ">=1.9,<3.0"
|
||||
|
||||
[[package]]
|
||||
name = "posthog"
|
||||
version = "3.13.0"
|
||||
version = "3.14.2"
|
||||
description = "Integrate PostHog into any python application."
|
||||
optional = false
|
||||
python-versions = "*"
|
||||
files = [
|
||||
{file = "posthog-3.13.0-py2.py3-none-any.whl", hash = "sha256:0afd0132055a3da9c6b0ecf763e7f2ce2b66659ef16169883394d0835c30d501"},
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||||
{file = "posthog-3.13.0.tar.gz", hash = "sha256:54e9de232459846b1686a0cfb58acb02b7ccda379d837e1eb1c3af62c3775915"},
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||||
{file = "posthog-3.14.2-py2.py3-none-any.whl", hash = "sha256:f50d41dfe116ace4971b304518de57e0de34a936cdfdff84efed0dd993dfbcda"},
|
||||
{file = "posthog-3.14.2.tar.gz", hash = "sha256:b9794aa5b316767cc7f8685292f8ff3e0df8b01fcaf2905afe2efa9696cb5c77"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
@@ -6958,20 +6960,20 @@ dill = ["dill (>=0.3.9)"]
|
||||
|
||||
[[package]]
|
||||
name = "primp"
|
||||
version = "0.12.1"
|
||||
version = "0.13.0"
|
||||
description = "HTTP client that can impersonate web browsers, mimicking their headers and `TLS/JA3/JA4/HTTP2` fingerprints"
|
||||
optional = false
|
||||
python-versions = ">=3.8"
|
||||
files = [
|
||||
{file = "primp-0.12.1-cp38-abi3-macosx_10_12_x86_64.whl", hash = "sha256:48af13b6731ab33f7045c620c7fecf4804745e2756c22ace604de24b46d07ee7"},
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||||
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||||
{file = "primp-0.12.1-cp38-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:79380b72b3afad1aead8c4ac91797dce37605561e9a4be9dd9291d6132fdc5e7"},
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||||
{file = "primp-0.12.1-cp38-abi3-manylinux_2_34_aarch64.whl", hash = "sha256:286e3e620fe027a103336e5b825949350fbb5121530f57ec04cc27112cd81ea9"},
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||||
{file = "primp-0.12.1-cp38-abi3-manylinux_2_34_armv7l.whl", hash = "sha256:61841d3061f74d17ff124c808a00bb2efa2dcbefff18e01510363dd9c3aa0300"},
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||||
{file = "primp-0.12.1-cp38-abi3-musllinux_1_2_aarch64.whl", hash = "sha256:5407e49166e61287010e9bf6daf84b7b0597a15286a7fb3ad0be36ee43555b4b"},
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||||
{file = "primp-0.12.1-cp38-abi3-musllinux_1_2_x86_64.whl", hash = "sha256:e0fad52ff964126be5996030b636ac92b110871738ff2523b3e74dcda381f226"},
|
||||
{file = "primp-0.12.1-cp38-abi3-win_amd64.whl", hash = "sha256:97c8fdc145eb3e9935658a8fff5c9bdc0552fcac3dfb15a1867d3ea08529e056"},
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||||
{file = "primp-0.12.1.tar.gz", hash = "sha256:2989375b512b0fec77b4e6cc53d3fef1f2f76103b6565873f040dfea92023279"},
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||||
{file = "primp-0.13.0-cp38-abi3-macosx_10_12_x86_64.whl", hash = "sha256:b47da9123a0efe5a8ab063c2906aba05a6d06ebbb4e63c8f685635962b4d7451"},
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||||
{file = "primp-0.13.0-cp38-abi3-macosx_11_0_arm64.whl", hash = "sha256:acfe86b5cf69481936f82908ccbcb773fa7f89f423d82609c701f278eb297236"},
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||||
{file = "primp-0.13.0-cp38-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6e24410c83772b0afeeac213c75969e153b53195a7da90f7220bb4385616b487"},
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||||
{file = "primp-0.13.0-cp38-abi3-manylinux_2_34_aarch64.whl", hash = "sha256:0149e745134c355ed585e54dd95fb6e7e39ed3532951976d7c803b0d181aa976"},
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||||
{file = "primp-0.13.0-cp38-abi3-manylinux_2_34_armv7l.whl", hash = "sha256:a6ff2607af26d5c362be1a077e0a3cf027054d04fef0706b86b5cacdb65b441d"},
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||||
{file = "primp-0.13.0-cp38-abi3-musllinux_1_2_aarch64.whl", hash = "sha256:0b0884d661b235766239f627e987786eed64d4400dbec55819504f570412cf94"},
|
||||
{file = "primp-0.13.0-cp38-abi3-musllinux_1_2_x86_64.whl", hash = "sha256:e601bd8121681c1fc43dd1abeefd4333b524033a1c3bad1e6f401a01798f4c94"},
|
||||
{file = "primp-0.13.0-cp38-abi3-win_amd64.whl", hash = "sha256:37eefc04e728ae964e7986d37c507b79676f9d2833e356504acc9b1301150ace"},
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||||
{file = "primp-0.13.0.tar.gz", hash = "sha256:59f872a8cb3293fac3f451a60e5f9c724264d7a76302b65deaaf31a2bd26b32c"},
|
||||
]
|
||||
|
||||
[package.extras]
|
||||
@@ -7121,32 +7123,25 @@ files = [
|
||||
|
||||
[[package]]
|
||||
name = "psutil"
|
||||
version = "6.1.1"
|
||||
description = "Cross-platform lib for process and system monitoring in Python."
|
||||
version = "7.0.0"
|
||||
description = "Cross-platform lib for process and system monitoring in Python. NOTE: the syntax of this script MUST be kept compatible with Python 2.7."
|
||||
optional = false
|
||||
python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,>=2.7"
|
||||
python-versions = ">=3.6"
|
||||
files = [
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||||
{file = "psutil-6.1.1-cp27-cp27m-macosx_10_9_x86_64.whl", hash = "sha256:9ccc4316f24409159897799b83004cb1e24f9819b0dcf9c0b68bdcb6cefee6a8"},
|
||||
{file = "psutil-6.1.1-cp27-cp27m-manylinux2010_i686.whl", hash = "sha256:ca9609c77ea3b8481ab005da74ed894035936223422dc591d6772b147421f777"},
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||||
{file = "psutil-6.1.1-cp27-cp27m-manylinux2010_x86_64.whl", hash = "sha256:8df0178ba8a9e5bc84fed9cfa61d54601b371fbec5c8eebad27575f1e105c0d4"},
|
||||
{file = "psutil-6.1.1-cp27-cp27mu-manylinux2010_i686.whl", hash = "sha256:1924e659d6c19c647e763e78670a05dbb7feaf44a0e9c94bf9e14dfc6ba50468"},
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||||
{file = "psutil-6.1.1-cp27-cp27mu-manylinux2010_x86_64.whl", hash = "sha256:018aeae2af92d943fdf1da6b58665124897cfc94faa2ca92098838f83e1b1bca"},
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||||
{file = "psutil-6.1.1-cp27-none-win32.whl", hash = "sha256:6d4281f5bbca041e2292be3380ec56a9413b790579b8e593b1784499d0005dac"},
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||||
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||||
{file = "psutil-6.1.1-cp36-abi3-macosx_10_9_x86_64.whl", hash = "sha256:fc0ed7fe2231a444fc219b9c42d0376e0a9a1a72f16c5cfa0f68d19f1a0663e8"},
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||||
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||||
{file = "psutil-6.1.1-cp36-abi3-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:b6e06c20c05fe95a3d7302d74e7097756d4ba1247975ad6905441ae1b5b66003"},
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||||
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||||
{file = "psutil-6.1.1-cp36-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:33431e84fee02bc84ea36d9e2c4a6d395d479c9dd9bba2376c1f6ee8f3a4e0b3"},
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||||
{file = "psutil-6.1.1-cp36-cp36m-win32.whl", hash = "sha256:384636b1a64b47814437d1173be1427a7c83681b17a450bfc309a1953e329603"},
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||||
{file = "psutil-6.1.1-cp36-cp36m-win_amd64.whl", hash = "sha256:8be07491f6ebe1a693f17d4f11e69d0dc1811fa082736500f649f79df7735303"},
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||||
{file = "psutil-6.1.1-cp37-abi3-win32.whl", hash = "sha256:eaa912e0b11848c4d9279a93d7e2783df352b082f40111e078388701fd479e53"},
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||||
{file = "psutil-6.1.1-cp37-abi3-win_amd64.whl", hash = "sha256:f35cfccb065fff93529d2afb4a2e89e363fe63ca1e4a5da22b603a85833c2649"},
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||||
{file = "psutil-6.1.1.tar.gz", hash = "sha256:cf8496728c18f2d0b45198f06895be52f36611711746b7f30c464b422b50e2f5"},
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||||
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||||
{file = "psutil-7.0.0-cp36-abi3-macosx_11_0_arm64.whl", hash = "sha256:39db632f6bb862eeccf56660871433e111b6ea58f2caea825571951d4b6aa3da"},
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||||
{file = "psutil-7.0.0-cp36-abi3-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:1fcee592b4c6f146991ca55919ea3d1f8926497a713ed7faaf8225e174581e91"},
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]
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[package.extras]
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dev = ["abi3audit", "black", "check-manifest", "coverage", "packaging", "pylint", "pyperf", "pypinfo", "pytest-cov", "requests", "rstcheck", "ruff", "sphinx", "sphinx_rtd_theme", "toml-sort", "twine", "virtualenv", "vulture", "wheel"]
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dev = ["abi3audit", "black (==24.10.0)", "check-manifest", "coverage", "packaging", "pylint", "pyperf", "pypinfo", "pytest", "pytest-cov", "pytest-xdist", "requests", "rstcheck", "ruff", "setuptools", "sphinx", "sphinx_rtd_theme", "toml-sort", "twine", "virtualenv", "vulture", "wheel"]
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test = ["pytest", "pytest-xdist", "setuptools"]
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[[package]]
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@@ -7259,53 +7254,53 @@ files = [
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[[package]]
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name = "pyarrow"
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version = "19.0.0"
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version = "19.0.1"
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description = "Python library for Apache Arrow"
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optional = false
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[package.extras]
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[[package]]
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{file = "scipy-1.15.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:28a0d2c2075946346e4408b211240764759e0fabaeb08d871639b5f3b1aca8a0"},
|
||||
{file = "scipy-1.15.2-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:42dabaaa798e987c425ed76062794e93a243be8f0f20fff6e7a89f4d61cb3d40"},
|
||||
{file = "scipy-1.15.2-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:6f5e296ec63c5da6ba6fa0343ea73fd51b8b3e1a300b0a8cae3ed4b1122c7462"},
|
||||
{file = "scipy-1.15.2-cp311-cp311-win_amd64.whl", hash = "sha256:597a0c7008b21c035831c39927406c6181bcf8f60a73f36219b69d010aa04737"},
|
||||
{file = "scipy-1.15.2-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:c4697a10da8f8765bb7c83e24a470da5797e37041edfd77fd95ba3811a47c4fd"},
|
||||
{file = "scipy-1.15.2-cp312-cp312-macosx_12_0_arm64.whl", hash = "sha256:869269b767d5ee7ea6991ed7e22b3ca1f22de73ab9a49c44bad338b725603301"},
|
||||
{file = "scipy-1.15.2-cp312-cp312-macosx_14_0_arm64.whl", hash = "sha256:bad78d580270a4d32470563ea86c6590b465cb98f83d760ff5b0990cb5518a93"},
|
||||
{file = "scipy-1.15.2-cp312-cp312-macosx_14_0_x86_64.whl", hash = "sha256:b09ae80010f52efddb15551025f9016c910296cf70adbf03ce2a8704f3a5ad20"},
|
||||
{file = "scipy-1.15.2-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5a6fd6eac1ce74a9f77a7fc724080d507c5812d61e72bd5e4c489b042455865e"},
|
||||
{file = "scipy-1.15.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:2b871df1fe1a3ba85d90e22742b93584f8d2b8e6124f8372ab15c71b73e428b8"},
|
||||
{file = "scipy-1.15.2-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:03205d57a28e18dfd39f0377d5002725bf1f19a46f444108c29bdb246b6c8a11"},
|
||||
{file = "scipy-1.15.2-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:601881dfb761311045b03114c5fe718a12634e5608c3b403737ae463c9885d53"},
|
||||
{file = "scipy-1.15.2-cp312-cp312-win_amd64.whl", hash = "sha256:e7c68b6a43259ba0aab737237876e5c2c549a031ddb7abc28c7b47f22e202ded"},
|
||||
{file = "scipy-1.15.2-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:01edfac9f0798ad6b46d9c4c9ca0e0ad23dbf0b1eb70e96adb9fa7f525eff0bf"},
|
||||
{file = "scipy-1.15.2-cp313-cp313-macosx_12_0_arm64.whl", hash = "sha256:08b57a9336b8e79b305a143c3655cc5bdbe6d5ece3378578888d2afbb51c4e37"},
|
||||
{file = "scipy-1.15.2-cp313-cp313-macosx_14_0_arm64.whl", hash = "sha256:54c462098484e7466362a9f1672d20888f724911a74c22ae35b61f9c5919183d"},
|
||||
{file = "scipy-1.15.2-cp313-cp313-macosx_14_0_x86_64.whl", hash = "sha256:cf72ff559a53a6a6d77bd8eefd12a17995ffa44ad86c77a5df96f533d4e6c6bb"},
|
||||
{file = "scipy-1.15.2-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:9de9d1416b3d9e7df9923ab23cd2fe714244af10b763975bea9e4f2e81cebd27"},
|
||||
{file = "scipy-1.15.2-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:fb530e4794fc8ea76a4a21ccb67dea33e5e0e60f07fc38a49e821e1eae3b71a0"},
|
||||
{file = "scipy-1.15.2-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:5ea7ed46d437fc52350b028b1d44e002646e28f3e8ddc714011aaf87330f2f32"},
|
||||
{file = "scipy-1.15.2-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:11e7ad32cf184b74380f43d3c0a706f49358b904fa7d5345f16ddf993609184d"},
|
||||
{file = "scipy-1.15.2-cp313-cp313-win_amd64.whl", hash = "sha256:a5080a79dfb9b78b768cebf3c9dcbc7b665c5875793569f48bf0e2b1d7f68f6f"},
|
||||
{file = "scipy-1.15.2-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:447ce30cee6a9d5d1379087c9e474628dab3db4a67484be1b7dc3196bfb2fac9"},
|
||||
{file = "scipy-1.15.2-cp313-cp313t-macosx_12_0_arm64.whl", hash = "sha256:c90ebe8aaa4397eaefa8455a8182b164a6cc1d59ad53f79943f266d99f68687f"},
|
||||
{file = "scipy-1.15.2-cp313-cp313t-macosx_14_0_arm64.whl", hash = "sha256:def751dd08243934c884a3221156d63e15234a3155cf25978b0a668409d45eb6"},
|
||||
{file = "scipy-1.15.2-cp313-cp313t-macosx_14_0_x86_64.whl", hash = "sha256:302093e7dfb120e55515936cb55618ee0b895f8bcaf18ff81eca086c17bd80af"},
|
||||
{file = "scipy-1.15.2-cp313-cp313t-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:7cd5b77413e1855351cdde594eca99c1f4a588c2d63711388b6a1f1c01f62274"},
|
||||
{file = "scipy-1.15.2-cp313-cp313t-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6d0194c37037707b2afa7a2f2a924cf7bac3dc292d51b6a925e5fcb89bc5c776"},
|
||||
{file = "scipy-1.15.2-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:bae43364d600fdc3ac327db99659dcb79e6e7ecd279a75fe1266669d9a652828"},
|
||||
{file = "scipy-1.15.2-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:f031846580d9acccd0044efd1a90e6f4df3a6e12b4b6bd694a7bc03a89892b28"},
|
||||
{file = "scipy-1.15.2-cp313-cp313t-win_amd64.whl", hash = "sha256:fe8a9eb875d430d81755472c5ba75e84acc980e4a8f6204d402849234d3017db"},
|
||||
{file = "scipy-1.15.2.tar.gz", hash = "sha256:cd58a314d92838f7e6f755c8a2167ead4f27e1fd5c1251fd54289569ef3495ec"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
@@ -9652,13 +9653,13 @@ test = ["pytest", "tornado (>=4.5)", "typeguard"]
|
||||
|
||||
[[package]]
|
||||
name = "tencentcloud-sdk-python-common"
|
||||
version = "3.0.1318"
|
||||
version = "3.0.1323"
|
||||
description = "Tencent Cloud Common SDK for Python"
|
||||
optional = false
|
||||
python-versions = "*"
|
||||
files = [
|
||||
{file = "tencentcloud-sdk-python-common-3.0.1318.tar.gz", hash = "sha256:c2ddc0a34e16db459d319462bfda1a1c41bda16d21f565914d630aa0ad8ef79a"},
|
||||
{file = "tencentcloud_sdk_python_common-3.0.1318-py2.py3-none-any.whl", hash = "sha256:5447519f18688a415079f01aa71bcb94c1d7342cae78f281bfd16a39dfa35b45"},
|
||||
{file = "tencentcloud-sdk-python-common-3.0.1323.tar.gz", hash = "sha256:651ef73a28ed3c3837ff811b8a7b62b7997f3068a1fc6becdd41c7a9b096f15b"},
|
||||
{file = "tencentcloud_sdk_python_common-3.0.1323-py2.py3-none-any.whl", hash = "sha256:d66313ca6e4a7efbd63e3f28ce5f374a863aa0c9758c5981395d96de3cbb6b4e"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
@@ -9666,17 +9667,17 @@ requests = ">=2.16.0"
|
||||
|
||||
[[package]]
|
||||
name = "tencentcloud-sdk-python-hunyuan"
|
||||
version = "3.0.1318"
|
||||
version = "3.0.1323"
|
||||
description = "Tencent Cloud Hunyuan SDK for Python"
|
||||
optional = false
|
||||
python-versions = "*"
|
||||
files = [
|
||||
{file = "tencentcloud-sdk-python-hunyuan-3.0.1318.tar.gz", hash = "sha256:7378598519b22b6a47654bc153ba9bce8a7611b74feffa822c6bd489359ee60e"},
|
||||
{file = "tencentcloud_sdk_python_hunyuan-3.0.1318-py2.py3-none-any.whl", hash = "sha256:3316cc94eddb711b8693e26c7f9ab45034ed029b7b0efc5714b422abbba38031"},
|
||||
{file = "tencentcloud-sdk-python-hunyuan-3.0.1323.tar.gz", hash = "sha256:9f3d00fc9b5eb39d311912f79dc64dd24a2f5582da567c92e585c34eeb759e8f"},
|
||||
{file = "tencentcloud_sdk_python_hunyuan-3.0.1323-py2.py3-none-any.whl", hash = "sha256:a4ba05295fdd6ef4cf91ec196825cc64a96cc193e93987c6992e4331c85c7a1d"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
tencentcloud-sdk-python-common = "3.0.1318"
|
||||
tencentcloud-sdk-python-common = "3.0.1323"
|
||||
|
||||
[[package]]
|
||||
name = "termcolor"
|
||||
@@ -10383,13 +10384,13 @@ files = [
|
||||
|
||||
[[package]]
|
||||
name = "unstructured"
|
||||
version = "0.16.20"
|
||||
version = "0.16.22"
|
||||
description = "A library that prepares raw documents for downstream ML tasks."
|
||||
optional = false
|
||||
python-versions = ">=3.9.0"
|
||||
files = [
|
||||
{file = "unstructured-0.16.20-py3-none-any.whl", hash = "sha256:9749f4310dde0973f4732ee68f9e98d4a673bb06e455e98bc9522027a99c77cd"},
|
||||
{file = "unstructured-0.16.20.tar.gz", hash = "sha256:95e8b604fae908cfd53b5bf05c4683e0041aa6c914627bb0226edb4530bbfa44"},
|
||||
{file = "unstructured-0.16.22-py3-none-any.whl", hash = "sha256:33ae7adc3b59b152bfbe5717ffdded5a19d66dc8cf78a2e55d86bef0d0d4899e"},
|
||||
{file = "unstructured-0.16.22.tar.gz", hash = "sha256:4fc6809980f5bcac2207d79312cef9f14f9bc7ff06ca27d464f087f0b01963b0"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
@@ -10420,19 +10421,19 @@ unstructured-client = "*"
|
||||
wrapt = "*"
|
||||
|
||||
[package.extras]
|
||||
all-docs = ["effdet", "google-cloud-vision", "markdown", "networkx", "onnx", "openpyxl", "pandas", "pdf2image", "pdfminer.six", "pi-heif", "pikepdf", "pypandoc", "pypdf", "python-docx (>=1.1.2)", "python-pptx (>=1.0.1)", "unstructured-inference (>=0.8.6)", "unstructured.pytesseract (>=0.3.12)", "xlrd"]
|
||||
all-docs = ["effdet", "google-cloud-vision", "markdown", "networkx", "onnx", "openpyxl", "pandas", "pdf2image", "pdfminer.six", "pi-heif", "pikepdf", "pypandoc", "pypdf", "python-docx (>=1.1.2)", "python-pptx (>=1.0.1)", "unstructured-inference (>=0.8.7)", "unstructured.pytesseract (>=0.3.12)", "xlrd"]
|
||||
csv = ["pandas"]
|
||||
doc = ["python-docx (>=1.1.2)"]
|
||||
docx = ["python-docx (>=1.1.2)"]
|
||||
epub = ["pypandoc"]
|
||||
huggingface = ["langdetect", "sacremoses", "sentencepiece", "torch", "transformers"]
|
||||
image = ["effdet", "google-cloud-vision", "onnx", "pdf2image", "pdfminer.six", "pi-heif", "pikepdf", "pypdf", "unstructured-inference (>=0.8.6)", "unstructured.pytesseract (>=0.3.12)"]
|
||||
local-inference = ["effdet", "google-cloud-vision", "markdown", "networkx", "onnx", "openpyxl", "pandas", "pdf2image", "pdfminer.six", "pi-heif", "pikepdf", "pypandoc", "pypdf", "python-docx (>=1.1.2)", "python-pptx (>=1.0.1)", "unstructured-inference (>=0.8.6)", "unstructured.pytesseract (>=0.3.12)", "xlrd"]
|
||||
image = ["effdet", "google-cloud-vision", "onnx", "pdf2image", "pdfminer.six", "pi-heif", "pikepdf", "pypdf", "unstructured-inference (>=0.8.7)", "unstructured.pytesseract (>=0.3.12)"]
|
||||
local-inference = ["effdet", "google-cloud-vision", "markdown", "networkx", "onnx", "openpyxl", "pandas", "pdf2image", "pdfminer.six", "pi-heif", "pikepdf", "pypandoc", "pypdf", "python-docx (>=1.1.2)", "python-pptx (>=1.0.1)", "unstructured-inference (>=0.8.7)", "unstructured.pytesseract (>=0.3.12)", "xlrd"]
|
||||
md = ["markdown"]
|
||||
odt = ["pypandoc", "python-docx (>=1.1.2)"]
|
||||
org = ["pypandoc"]
|
||||
paddleocr = ["paddlepaddle (==3.0.0b1)", "unstructured.paddleocr (==2.8.1.0)"]
|
||||
pdf = ["effdet", "google-cloud-vision", "onnx", "pdf2image", "pdfminer.six", "pi-heif", "pikepdf", "pypdf", "unstructured-inference (>=0.8.6)", "unstructured.pytesseract (>=0.3.12)"]
|
||||
pdf = ["effdet", "google-cloud-vision", "onnx", "pdf2image", "pdfminer.six", "pi-heif", "pikepdf", "pypdf", "unstructured-inference (>=0.8.7)", "unstructured.pytesseract (>=0.3.12)"]
|
||||
ppt = ["python-pptx (>=1.0.1)"]
|
||||
pptx = ["python-pptx (>=1.0.1)"]
|
||||
rst = ["pypandoc"]
|
||||
@@ -11239,20 +11240,18 @@ propcache = ">=0.2.0"
|
||||
|
||||
[[package]]
|
||||
name = "yfinance"
|
||||
version = "0.2.52"
|
||||
version = "0.2.54"
|
||||
description = "Download market data from Yahoo! Finance API"
|
||||
optional = false
|
||||
python-versions = "*"
|
||||
files = [
|
||||
{file = "yfinance-0.2.52-py2.py3-none-any.whl", hash = "sha256:3ca150da85f56b999687e13b72304338499a417d5bad6af9da2aa13821992bd7"},
|
||||
{file = "yfinance-0.2.52.tar.gz", hash = "sha256:d2c2ed9bc935596934cba99fca0f05beaa8384648f78105c77754e92f11bf72f"},
|
||||
{file = "yfinance-0.2.54-py2.py3-none-any.whl", hash = "sha256:8754f90332158d5d19bf754c1b230864ca2d1d313182a3f94a7bc7718bbe7d90"},
|
||||
{file = "yfinance-0.2.54.tar.gz", hash = "sha256:a4ab8e2ecba4fda5a36bff0bdc602a014adc732e5eda5d3ac283836ce40356e8"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
beautifulsoup4 = ">=4.11.1"
|
||||
frozendict = ">=2.3.4"
|
||||
html5lib = ">=1.1"
|
||||
lxml = ">=4.9.1"
|
||||
multitasking = ">=0.0.7"
|
||||
numpy = ">=1.16.5"
|
||||
pandas = ">=1.3.0"
|
||||
@@ -11504,4 +11503,4 @@ cffi = ["cffi (>=1.11)"]
|
||||
[metadata]
|
||||
lock-version = "2.0"
|
||||
python-versions = ">=3.11,<3.13"
|
||||
content-hash = "d4de56bf4d990ae926ccf65936d36dcce4b91273fabe2367b24f2d45d56d55d4"
|
||||
content-hash = "b4ce96c3bfb9ee46ef28b9372f6fc538c133d3c6d423cf3ec8e3fdf6208a611b"
|
||||
|
||||
@@ -21,7 +21,7 @@ azure-ai-inference = "~1.0.0b8"
|
||||
azure-ai-ml = "~1.20.0"
|
||||
azure-identity = "1.16.1"
|
||||
beautifulsoup4 = "4.12.2"
|
||||
boto3 = "1.36.12"
|
||||
boto3 = "1.35.74"
|
||||
bs4 = "~0.0.1"
|
||||
cachetools = "~5.3.0"
|
||||
celery = "~5.4.0"
|
||||
@@ -88,7 +88,7 @@ tencentcloud-sdk-python-hunyuan = "~3.0.1294"
|
||||
tiktoken = "~0.8.0"
|
||||
tokenizers = "~0.15.0"
|
||||
transformers = "~4.35.0"
|
||||
unstructured = { version = "~0.16.13", extras = ["docx", "epub", "md", "msg", "ppt", "pptx"] }
|
||||
unstructured = { version = "~0.16.1", extras = ["docx", "epub", "md", "msg", "ppt", "pptx"] }
|
||||
validators = "0.21.0"
|
||||
volcengine-python-sdk = {extras = ["ark"], version = "~1.0.98"}
|
||||
websocket-client = "~1.7.0"
|
||||
|
||||
@@ -77,7 +77,6 @@ class AccountService:
|
||||
prefix="email_code_account_deletion_rate_limit", max_attempts=1, time_window=60 * 1
|
||||
)
|
||||
LOGIN_MAX_ERROR_LIMITS = 5
|
||||
FORGOT_PASSWORD_MAX_ERROR_LIMITS = 5
|
||||
|
||||
@staticmethod
|
||||
def _get_refresh_token_key(refresh_token: str) -> str:
|
||||
@@ -504,32 +503,6 @@ class AccountService:
|
||||
key = f"login_error_rate_limit:{email}"
|
||||
redis_client.delete(key)
|
||||
|
||||
@staticmethod
|
||||
def add_forgot_password_error_rate_limit(email: str) -> None:
|
||||
key = f"forgot_password_error_rate_limit:{email}"
|
||||
count = redis_client.get(key)
|
||||
if count is None:
|
||||
count = 0
|
||||
count = int(count) + 1
|
||||
redis_client.setex(key, dify_config.FORGOT_PASSWORD_LOCKOUT_DURATION, count)
|
||||
|
||||
@staticmethod
|
||||
def is_forgot_password_error_rate_limit(email: str) -> bool:
|
||||
key = f"forgot_password_error_rate_limit:{email}"
|
||||
count = redis_client.get(key)
|
||||
if count is None:
|
||||
return False
|
||||
|
||||
count = int(count)
|
||||
if count > AccountService.FORGOT_PASSWORD_MAX_ERROR_LIMITS:
|
||||
return True
|
||||
return False
|
||||
|
||||
@staticmethod
|
||||
def reset_forgot_password_error_rate_limit(email: str):
|
||||
key = f"forgot_password_error_rate_limit:{email}"
|
||||
redis_client.delete(key)
|
||||
|
||||
@staticmethod
|
||||
def is_email_send_ip_limit(ip_address: str):
|
||||
minute_key = f"email_send_ip_limit_minute:{ip_address}"
|
||||
|
||||
@@ -47,7 +47,7 @@ class HitTestingService:
|
||||
all_documents = RetrievalService.retrieve(
|
||||
retrieval_method=retrieval_model.get("search_method", "semantic_search"),
|
||||
dataset_id=dataset.id,
|
||||
query=query,
|
||||
query=cls.escape_query_for_search(query),
|
||||
top_k=retrieval_model.get("top_k", 2),
|
||||
score_threshold=retrieval_model.get("score_threshold", 0.0)
|
||||
if retrieval_model["score_threshold_enabled"]
|
||||
|
||||
@@ -1,59 +0,0 @@
|
||||
import time
|
||||
|
||||
import pymysql
|
||||
|
||||
|
||||
def check_tiflash_ready() -> bool:
|
||||
try:
|
||||
connection = pymysql.connect(
|
||||
host="localhost",
|
||||
port=4000,
|
||||
user="root",
|
||||
password="",
|
||||
)
|
||||
|
||||
with connection.cursor() as cursor:
|
||||
# Doc reference:
|
||||
# https://docs.pingcap.com/zh/tidb/stable/information-schema-cluster-hardware
|
||||
select_tiflash_query = """
|
||||
SELECT * FROM information_schema.cluster_hardware
|
||||
WHERE TYPE='tiflash'
|
||||
LIMIT 1;
|
||||
"""
|
||||
cursor.execute(select_tiflash_query)
|
||||
result = cursor.fetchall()
|
||||
return result is not None and len(result) > 0
|
||||
except Exception as e:
|
||||
print(f"TiFlash is not ready. Exception: {e}")
|
||||
return False
|
||||
finally:
|
||||
if connection:
|
||||
connection.close()
|
||||
|
||||
|
||||
def main():
|
||||
max_attempts = 30
|
||||
retry_interval_seconds = 2
|
||||
is_tiflash_ready = False
|
||||
for attempt in range(max_attempts):
|
||||
try:
|
||||
is_tiflash_ready = check_tiflash_ready()
|
||||
except Exception as e:
|
||||
print(f"TiFlash is not ready. Exception: {e}")
|
||||
is_tiflash_ready = False
|
||||
|
||||
if is_tiflash_ready:
|
||||
break
|
||||
else:
|
||||
print(f"Attempt {attempt + 1} failed，retry in {retry_interval_seconds} seconds...")
|
||||
time.sleep(retry_interval_seconds)
|
||||
|
||||
if is_tiflash_ready:
|
||||
print("TiFlash is ready in TiDB.")
|
||||
else:
|
||||
print(f"TiFlash is not ready in TiDB after {max_attempts} attempting checks.")
|
||||
exit(1)
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
main()
|
||||
@@ -8,7 +8,7 @@ from core.variables.variables import StringVariable
|
||||
from core.workflow.entities.node_entities import NodeRunResult
|
||||
from core.workflow.nodes.document_extractor import DocumentExtractorNode, DocumentExtractorNodeData
|
||||
from core.workflow.nodes.document_extractor.node import (
|
||||
_extract_text_from_docx,
|
||||
_extract_text_from_doc,
|
||||
_extract_text_from_pdf,
|
||||
_extract_text_from_plain_text,
|
||||
)
|
||||
@@ -120,7 +120,7 @@ def test_run_extract_text(
|
||||
monkeypatch.setattr("core.workflow.nodes.document_extractor.node._extract_text_from_pdf", mock_pdf_extract)
|
||||
elif mime_type.startswith("application/vnd.openxmlformats"):
|
||||
mock_docx_extract = Mock(return_value=expected_text[0])
|
||||
monkeypatch.setattr("core.workflow.nodes.document_extractor.node._extract_text_from_docx", mock_docx_extract)
|
||||
monkeypatch.setattr("core.workflow.nodes.document_extractor.node._extract_text_from_doc", mock_docx_extract)
|
||||
|
||||
result = document_extractor_node._run()
|
||||
|
||||
@@ -163,14 +163,14 @@ def test_extract_text_from_pdf(mock_pdf_document):
|
||||
|
||||
|
||||
@patch("docx.Document")
|
||||
def test_extract_text_from_docx(mock_document):
|
||||
def test_extract_text_from_doc(mock_document):
|
||||
mock_paragraph1 = Mock()
|
||||
mock_paragraph1.text = "Paragraph 1"
|
||||
mock_paragraph2 = Mock()
|
||||
mock_paragraph2.text = "Paragraph 2"
|
||||
mock_document.return_value.paragraphs = [mock_paragraph1, mock_paragraph2]
|
||||
|
||||
text = _extract_text_from_docx(b"PK\x03\x04")
|
||||
text = _extract_text_from_doc(b"PK\x03\x04")
|
||||
assert text == "Paragraph 1\nParagraph 2"
|
||||
|
||||
|
||||
|
||||
@@ -887,10 +887,6 @@ SSRF_HTTP_PORT=3128
|
||||
SSRF_COREDUMP_DIR=/var/spool/squid
|
||||
SSRF_REVERSE_PROXY_PORT=8194
|
||||
SSRF_SANDBOX_HOST=sandbox
|
||||
SSRF_DEFAULT_TIME_OUT=5
|
||||
SSRF_DEFAULT_CONNECT_TIME_OUT=5
|
||||
SSRF_DEFAULT_READ_TIME_OUT=5
|
||||
SSRF_DEFAULT_WRITE_TIME_OUT=5
|
||||
|
||||
# ------------------------------
|
||||
# docker env var for specifying vector db type at startup
|
||||
|
||||
@@ -199,6 +199,16 @@ services:
|
||||
- '${EXPOSE_NGINX_PORT:-80}:${NGINX_PORT:-80}'
|
||||
- '${EXPOSE_NGINX_SSL_PORT:-443}:${NGINX_SSL_PORT:-443}'
|
||||
|
||||
# The TiDB vector store.
|
||||
# For production use, please refer to https://github.com/pingcap/tidb-docker-compose
|
||||
tidb:
|
||||
image: pingcap/tidb:v8.4.0
|
||||
profiles:
|
||||
- tidb
|
||||
command:
|
||||
- --store=unistore
|
||||
restart: always
|
||||
|
||||
# The Weaviate vector store.
|
||||
weaviate:
|
||||
image: semitechnologies/weaviate:1.19.0
|
||||
|
||||
@@ -377,10 +377,6 @@ x-shared-env: &shared-api-worker-env
|
||||
SSRF_COREDUMP_DIR: ${SSRF_COREDUMP_DIR:-/var/spool/squid}
|
||||
SSRF_REVERSE_PROXY_PORT: ${SSRF_REVERSE_PROXY_PORT:-8194}
|
||||
SSRF_SANDBOX_HOST: ${SSRF_SANDBOX_HOST:-sandbox}
|
||||
SSRF_DEFAULT_TIME_OUT: ${SSRF_DEFAULT_TIME_OUT:-5}
|
||||
SSRF_DEFAULT_CONNECT_TIME_OUT: ${SSRF_DEFAULT_CONNECT_TIME_OUT:-5}
|
||||
SSRF_DEFAULT_READ_TIME_OUT: ${SSRF_DEFAULT_READ_TIME_OUT:-5}
|
||||
SSRF_DEFAULT_WRITE_TIME_OUT: ${SSRF_DEFAULT_WRITE_TIME_OUT:-5}
|
||||
EXPOSE_NGINX_PORT: ${EXPOSE_NGINX_PORT:-80}
|
||||
EXPOSE_NGINX_SSL_PORT: ${EXPOSE_NGINX_SSL_PORT:-443}
|
||||
POSITION_TOOL_PINS: ${POSITION_TOOL_PINS:-}
|
||||
@@ -594,6 +590,16 @@ services:
|
||||
- '${EXPOSE_NGINX_PORT:-80}:${NGINX_PORT:-80}'
|
||||
- '${EXPOSE_NGINX_SSL_PORT:-443}:${NGINX_SSL_PORT:-443}'
|
||||
|
||||
# The TiDB vector store.
|
||||
# For production use, please refer to https://github.com/pingcap/tidb-docker-compose
|
||||
tidb:
|
||||
image: pingcap/tidb:v8.4.0
|
||||
profiles:
|
||||
- tidb
|
||||
command:
|
||||
- --store=unistore
|
||||
restart: always
|
||||
|
||||
# The Weaviate vector store.
|
||||
weaviate:
|
||||
image: semitechnologies/weaviate:1.19.0
|
||||
|
||||
@@ -3,7 +3,6 @@
|
||||
proxy_set_header Host $host;
|
||||
proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
|
||||
proxy_set_header X-Forwarded-Proto $scheme;
|
||||
proxy_set_header X-Forwarded-Port $server_port;
|
||||
proxy_http_version 1.1;
|
||||
proxy_set_header Connection "";
|
||||
proxy_buffering off;
|
||||
|
||||
@@ -7,7 +7,6 @@ acl localnet src 192.168.0.0/16 # RFC 1918 local private network (LAN)
|
||||
acl localnet src fc00::/7 # RFC 4193 local private network range
|
||||
acl localnet src fe80::/10 # RFC 4291 link-local (directly plugged) machines
|
||||
acl SSL_ports port 443
|
||||
# acl SSL_ports port 1025-65535 # Enable the configuration to resolve this issue: https://github.com/langgenius/dify/issues/12792
|
||||
acl Safe_ports port 80 # http
|
||||
acl Safe_ports port 21 # ftp
|
||||
acl Safe_ports port 443 # https
|
||||
|
||||
@@ -1,4 +0,0 @@
|
||||
# PD Configuration File reference:
|
||||
# https://docs.pingcap.com/tidb/stable/pd-configuration-file#pd-configuration-file
|
||||
[replication]
|
||||
max-replicas = 1
|
||||
@@ -1,13 +0,0 @@
|
||||
# TiFlash tiflash-learner.toml Configuration File reference:
|
||||
# https://docs.pingcap.com/tidb/stable/tiflash-configuration#configure-the-tiflash-learnertoml-file
|
||||
|
||||
log-file = "/logs/tiflash_tikv.log"
|
||||
|
||||
[server]
|
||||
engine-addr = "tiflash:4030"
|
||||
addr = "0.0.0.0:20280"
|
||||
advertise-addr = "tiflash:20280"
|
||||
status-addr = "tiflash:20292"
|
||||
|
||||
[storage]
|
||||
data-dir = "/data/flash"
|
||||
@@ -1,19 +0,0 @@
|
||||
# TiFlash tiflash.toml Configuration File reference:
|
||||
# https://docs.pingcap.com/tidb/stable/tiflash-configuration#configure-the-tiflashtoml-file
|
||||
|
||||
listen_host = "0.0.0.0"
|
||||
path = "/data"
|
||||
|
||||
[flash]
|
||||
tidb_status_addr = "tidb:10080"
|
||||
service_addr = "tiflash:4030"
|
||||
|
||||
[flash.proxy]
|
||||
config = "/tiflash-learner.toml"
|
||||
|
||||
[logger]
|
||||
errorlog = "/logs/tiflash_error.log"
|
||||
log = "/logs/tiflash.log"
|
||||
|
||||
[raft]
|
||||
pd_addr = "pd0:2379"
|
||||
@@ -1,62 +0,0 @@
|
||||
services:
|
||||
pd0:
|
||||
image: pingcap/pd:v8.5.1
|
||||
# ports:
|
||||
# - "2379"
|
||||
volumes:
|
||||
- ./config/pd.toml:/pd.toml:ro
|
||||
- ./volumes/data:/data
|
||||
- ./volumes/logs:/logs
|
||||
command:
|
||||
- --name=pd0
|
||||
- --client-urls=http://0.0.0.0:2379
|
||||
- --peer-urls=http://0.0.0.0:2380
|
||||
- --advertise-client-urls=http://pd0:2379
|
||||
- --advertise-peer-urls=http://pd0:2380
|
||||
- --initial-cluster=pd0=http://pd0:2380
|
||||
- --data-dir=/data/pd
|
||||
- --config=/pd.toml
|
||||
- --log-file=/logs/pd.log
|
||||
restart: on-failure
|
||||
tikv:
|
||||
image: pingcap/tikv:v8.5.1
|
||||
volumes:
|
||||
- ./volumes/data:/data
|
||||
- ./volumes/logs:/logs
|
||||
command:
|
||||
- --addr=0.0.0.0:20160
|
||||
- --advertise-addr=tikv:20160
|
||||
- --status-addr=tikv:20180
|
||||
- --data-dir=/data/tikv
|
||||
- --pd=pd0:2379
|
||||
- --log-file=/logs/tikv.log
|
||||
depends_on:
|
||||
- "pd0"
|
||||
restart: on-failure
|
||||
tidb:
|
||||
image: pingcap/tidb:v8.5.1
|
||||
# ports:
|
||||
# - "4000:4000"
|
||||
volumes:
|
||||
- ./volumes/logs:/logs
|
||||
command:
|
||||
- --advertise-address=tidb
|
||||
- --store=tikv
|
||||
- --path=pd0:2379
|
||||
- --log-file=/logs/tidb.log
|
||||
depends_on:
|
||||
- "tikv"
|
||||
restart: on-failure
|
||||
tiflash:
|
||||
image: pingcap/tiflash:v8.5.1
|
||||
volumes:
|
||||
- ./config/tiflash.toml:/tiflash.toml:ro
|
||||
- ./config/tiflash-learner.toml:/tiflash-learner.toml:ro
|
||||
- ./volumes/data:/data
|
||||
- ./volumes/logs:/logs
|
||||
command:
|
||||
- --config=/tiflash.toml
|
||||
depends_on:
|
||||
- "tikv"
|
||||
- "tidb"
|
||||
restart: on-failure
|
||||
@@ -146,8 +146,7 @@ const AppDetailLayout: FC<IAppDetailLayoutProps> = (props) => {
|
||||
})
|
||||
}
|
||||
}
|
||||
// eslint-disable-next-line react-hooks/exhaustive-deps
|
||||
}, [appDetailRes, appId, getNavigations, isCurrentWorkspaceEditor, isLoadingAppDetail, isLoadingCurrentWorkspace, router, setAppDetail, systemFeatures.enable_web_sso_switch_component])
|
||||
}, [appDetailRes, appId, getNavigations, isCurrentWorkspaceEditor, isLoadingAppDetail, isLoadingCurrentWorkspace, pathname, router, setAppDetail, systemFeatures.enable_web_sso_switch_component])
|
||||
|
||||
useUnmount(() => {
|
||||
setAppDetail()
|
||||
@@ -162,9 +161,9 @@ const AppDetailLayout: FC<IAppDetailLayoutProps> = (props) => {
|
||||
}
|
||||
|
||||
return (
|
||||
<div className={cn(s.app, 'flex relative', 'overflow-hidden')}>
|
||||
<div className={cn(s.app, 'flex', 'overflow-hidden')}>
|
||||
{appDetail && (
|
||||
<AppSideBar title={appDetail.name} icon={appDetail.icon} icon_background={appDetail.icon_background as string} desc={appDetail.mode} navigation={navigation} />
|
||||
<AppSideBar title={appDetail.name} icon={appDetail.icon} icon_background={appDetail.icon_background} desc={appDetail.mode} navigation={navigation} />
|
||||
)}
|
||||
<div className="bg-components-panel-bg grow overflow-hidden">
|
||||
{children}
|
||||
|
||||
@@ -24,11 +24,9 @@ import AppContext from '@/context/app-context'
|
||||
|
||||
export type ICardViewProps = {
|
||||
appId: string
|
||||
isInPanel?: boolean
|
||||
className?: string
|
||||
}
|
||||
|
||||
const CardView: FC<ICardViewProps> = ({ appId, isInPanel, className }) => {
|
||||
const CardView: FC<ICardViewProps> = ({ appId }) => {
|
||||
const { t } = useTranslation()
|
||||
const { notify } = useContext(ToastContext)
|
||||
const appDetail = useAppStore(state => state.appDetail)
|
||||
@@ -122,11 +120,10 @@ const CardView: FC<ICardViewProps> = ({ appId, isInPanel, className }) => {
|
||||
return <Loading />
|
||||
|
||||
return (
|
||||
<div className={className || 'grid gap-6 grid-cols-1 xl:grid-cols-2 w-full mb-6'}>
|
||||
<div className="grid gap-6 grid-cols-1 xl:grid-cols-2 w-full mb-6">
|
||||
<AppCard
|
||||
appInfo={appDetail}
|
||||
cardType="webapp"
|
||||
isInPanel={isInPanel}
|
||||
onChangeStatus={onChangeSiteStatus}
|
||||
onGenerateCode={onGenerateCode}
|
||||
onSaveSiteConfig={onSaveSiteConfig}
|
||||
@@ -134,7 +131,6 @@ const CardView: FC<ICardViewProps> = ({ appId, isInPanel, className }) => {
|
||||
<AppCard
|
||||
cardType="api"
|
||||
appInfo={appDetail}
|
||||
isInPanel={isInPanel}
|
||||
onChangeStatus={onChangeApiStatus}
|
||||
/>
|
||||
</div>
|
||||
|
||||
@@ -31,6 +31,8 @@ const ApiServer: FC<ApiServerProps> = ({
|
||||
</div>
|
||||
<SecretKeyButton
|
||||
className='flex-shrink-0 !h-8 bg-white'
|
||||
textCls='!text-gray-700 font-medium'
|
||||
iconCls='stroke-[1.2px]'
|
||||
/>
|
||||
</div>
|
||||
)
|
||||
|
||||
@@ -1,18 +1,18 @@
|
||||
import { useTranslation } from 'react-i18next'
|
||||
import { useRouter } from 'next/navigation'
|
||||
import { useContext, useContextSelector } from 'use-context-selector'
|
||||
import { RiArrowDownSLine } from '@remixicon/react'
|
||||
import React, { useCallback, useState } from 'react'
|
||||
import {
|
||||
RiDeleteBinLine,
|
||||
RiEditLine,
|
||||
RiEqualizer2Line,
|
||||
RiFileCopy2Line,
|
||||
RiFileDownloadLine,
|
||||
RiFileUploadLine,
|
||||
} from '@remixicon/react'
|
||||
import AppIcon from '../base/app-icon'
|
||||
import SwitchAppModal from '../app/switch-app-modal'
|
||||
import s from './style.module.css'
|
||||
import cn from '@/utils/classnames'
|
||||
import {
|
||||
PortalToFollowElem,
|
||||
PortalToFollowElemContent,
|
||||
PortalToFollowElemTrigger,
|
||||
} from '@/app/components/base/portal-to-follow-elem'
|
||||
import Divider from '@/app/components/base/divider'
|
||||
import Confirm from '@/app/components/base/confirm'
|
||||
import { useStore as useAppStore } from '@/app/components/app/store'
|
||||
import { ToastContext } from '@/app/components/base/toast'
|
||||
@@ -22,6 +22,8 @@ import { copyApp, deleteApp, exportAppConfig, updateAppInfo } from '@/service/ap
|
||||
import DuplicateAppModal from '@/app/components/app/duplicate-modal'
|
||||
import type { DuplicateAppModalProps } from '@/app/components/app/duplicate-modal'
|
||||
import CreateAppModal from '@/app/components/explore/create-app-modal'
|
||||
import { AiText, ChatBot, CuteRobot } from '@/app/components/base/icons/src/vender/solid/communication'
|
||||
import { Route } from '@/app/components/base/icons/src/vender/solid/mapsAndTravel'
|
||||
import type { CreateAppModalProps } from '@/app/components/explore/create-app-modal'
|
||||
import { NEED_REFRESH_APP_LIST_KEY } from '@/config'
|
||||
import { getRedirection } from '@/utils/app-redirection'
|
||||
@@ -29,9 +31,6 @@ import UpdateDSLModal from '@/app/components/workflow/update-dsl-modal'
|
||||
import type { EnvironmentVariable } from '@/app/components/workflow/types'
|
||||
import DSLExportConfirmModal from '@/app/components/workflow/dsl-export-confirm-modal'
|
||||
import { fetchWorkflowDraft } from '@/service/workflow'
|
||||
import ContentDialog from '@/app/components/base/content-dialog'
|
||||
import Button from '@/app/components/base/button'
|
||||
import CardView from '@/app/(commonLayout)/app/(appDetailLayout)/[appId]/overview/cardView'
|
||||
|
||||
export type IAppInfoProps = {
|
||||
expand: boolean
|
||||
@@ -48,6 +47,7 @@ const AppInfo = ({ expand }: IAppInfoProps) => {
|
||||
const [showEditModal, setShowEditModal] = useState(false)
|
||||
const [showDuplicateModal, setShowDuplicateModal] = useState(false)
|
||||
const [showConfirmDelete, setShowConfirmDelete] = useState(false)
|
||||
const [showSwitchTip, setShowSwitchTip] = useState<string>('')
|
||||
const [showSwitchModal, setShowSwitchModal] = useState<boolean>(false)
|
||||
const [showImportDSLModal, setShowImportDSLModal] = useState<boolean>(false)
|
||||
const [secretEnvList, setSecretEnvList] = useState<EnvironmentVariable[]>([])
|
||||
@@ -183,199 +183,291 @@ const AppInfo = ({ expand }: IAppInfoProps) => {
|
||||
return null
|
||||
|
||||
return (
|
||||
<div>
|
||||
<button
|
||||
onClick={() => {
|
||||
if (isCurrentWorkspaceEditor)
|
||||
setOpen(v => !v)
|
||||
}}
|
||||
className='block w-full'
|
||||
>
|
||||
<div className={cn('flex rounded-lg', expand ? 'p-2 pb-2.5 flex-col gap-2' : 'p-1 gap-1 justify-center items-start', open && 'bg-state-base-hover', isCurrentWorkspaceEditor && 'hover:bg-state-base-hover cursor-pointer')}>
|
||||
<div className={`flex items-center self-stretch ${expand ? 'justify-between' : 'flex-col gap-1'}`}>
|
||||
<AppIcon
|
||||
size={expand ? 'large' : 'small'}
|
||||
iconType={appDetail.icon_type}
|
||||
icon={appDetail.icon}
|
||||
background={appDetail.icon_background}
|
||||
imageUrl={appDetail.icon_url}
|
||||
/>
|
||||
<div className='flex p-0.5 justify-center items-center rounded-md'>
|
||||
<div className='flex w-5 h-5 justify-center items-center'>
|
||||
<RiEqualizer2Line className='w-4 h-4 text-text-tertiary' />
|
||||
</div>
|
||||
<PortalToFollowElem
|
||||
open={open}
|
||||
onOpenChange={setOpen}
|
||||
placement='bottom-start'
|
||||
offset={4}
|
||||
>
|
||||
<div className='relative'>
|
||||
<PortalToFollowElemTrigger
|
||||
onClick={() => {
|
||||
if (isCurrentWorkspaceEditor)
|
||||
setOpen(v => !v)
|
||||
}}
|
||||
className='block'
|
||||
>
|
||||
<div className={cn('flex p-1 rounded-lg', open && 'bg-gray-100', isCurrentWorkspaceEditor && 'hover:bg-gray-100 cursor-pointer')}>
|
||||
<div className='relative shrink-0 mr-2'>
|
||||
<AppIcon
|
||||
size={expand ? 'large' : 'small'}
|
||||
iconType={appDetail.icon_type}
|
||||
icon={appDetail.icon}
|
||||
background={appDetail.icon_background}
|
||||
imageUrl={appDetail.icon_url}
|
||||
/>
|
||||
<span className={cn(
|
||||
'absolute bottom-[-3px] right-[-3px] w-4 h-4 p-0.5 bg-white rounded border-[0.5px] border-[rgba(0,0,0,0.02)] shadow-sm',
|
||||
!expand && '!w-3.5 !h-3.5 !bottom-[-2px] !right-[-2px]',
|
||||
)}>
|
||||
{appDetail.mode === 'advanced-chat' && (
|
||||
<ChatBot className={cn('w-3 h-3 text-[#1570EF]', !expand && '!w-2.5 !h-2.5')} />
|
||||
)}
|
||||
{appDetail.mode === 'agent-chat' && (
|
||||
<CuteRobot className={cn('w-3 h-3 text-indigo-600', !expand && '!w-2.5 !h-2.5')} />
|
||||
)}
|
||||
{appDetail.mode === 'chat' && (
|
||||
<ChatBot className={cn('w-3 h-3 text-[#1570EF]', !expand && '!w-2.5 !h-2.5')} />
|
||||
)}
|
||||
{appDetail.mode === 'completion' && (
|
||||
<AiText className={cn('w-3 h-3 text-[#0E9384]', !expand && '!w-2.5 !h-2.5')} />
|
||||
)}
|
||||
{appDetail.mode === 'workflow' && (
|
||||
<Route className={cn('w-3 h-3 text-[#f79009]', !expand && '!w-2.5 !h-2.5')} />
|
||||
)}
|
||||
</span>
|
||||
</div>
|
||||
</div>
|
||||
{
|
||||
expand && (
|
||||
<div className='flex flex-col items-start gap-1'>
|
||||
<div className='flex w-full'>
|
||||
<div className='text-text-secondary system-md-semibold truncate'>{appDetail.name}</div>
|
||||
{expand && (
|
||||
<div className="grow w-0">
|
||||
<div className='flex justify-between items-center text-sm leading-5 font-medium text-text-secondary'>
|
||||
<div className='truncate' title={appDetail.name}>{appDetail.name}</div>
|
||||
{isCurrentWorkspaceEditor && <RiArrowDownSLine className='shrink-0 ml-[2px] w-3 h-3 text-gray-500' />}
|
||||
</div>
|
||||
<div className='flex items-center text-[10px] leading-[18px] font-medium text-gray-500 gap-1'>
|
||||
{appDetail.mode === 'advanced-chat' && (
|
||||
<>
|
||||
<div className='shrink-0 px-1 border bg-white border-[rgba(0,0,0,0.08)] rounded-[5px] truncate'>{t('app.types.chatbot').toUpperCase()}</div>
|
||||
<div title={t('app.types.advanced') || ''} className='px-1 border bg-white border-[rgba(0,0,0,0.08)] rounded-[5px] truncate'>{t('app.types.advanced').toUpperCase()}</div>
|
||||
</>
|
||||
)}
|
||||
{appDetail.mode === 'agent-chat' && (
|
||||
<div className='shrink-0 px-1 border bg-white border-[rgba(0,0,0,0.08)] rounded-[5px] truncate'>{t('app.types.agent').toUpperCase()}</div>
|
||||
)}
|
||||
{appDetail.mode === 'chat' && (
|
||||
<>
|
||||
<div className='shrink-0 px-1 border bg-white border-[rgba(0,0,0,0.08)] rounded-[5px] truncate'>{t('app.types.chatbot').toUpperCase()}</div>
|
||||
<div title={t('app.types.basic') || ''} className='px-1 border bg-white border-[rgba(0,0,0,0.08)] rounded-[5px] truncate'>{(t('app.types.basic').toUpperCase())}</div>
|
||||
</>
|
||||
)}
|
||||
{appDetail.mode === 'completion' && (
|
||||
<>
|
||||
<div className='shrink-0 px-1 border bg-white border-[rgba(0,0,0,0.08)] rounded-[5px] truncate'>{t('app.types.completion').toUpperCase()}</div>
|
||||
<div title={t('app.types.basic') || ''} className='px-1 border bg-white border-[rgba(0,0,0,0.08)] rounded-[5px] truncate'>{(t('app.types.basic').toUpperCase())}</div>
|
||||
</>
|
||||
)}
|
||||
{appDetail.mode === 'workflow' && (
|
||||
<div className='shrink-0 px-1 border bg-white border-[rgba(0,0,0,0.08)] rounded-[5px] truncate'>{t('app.types.workflow').toUpperCase()}</div>
|
||||
)}
|
||||
</div>
|
||||
<div className='text-text-tertiary system-2xs-medium-uppercase'>{appDetail.mode === 'advanced-chat' ? t('app.types.chatbot') : appDetail.mode === 'agent-chat' ? t('app.types.agent') : appDetail.mode === 'chat' ? t('app.types.chatbot') : appDetail.mode === 'completion' ? t('app.types.completion') : t('app.types.workflow')}</div>
|
||||
</div>
|
||||
)
|
||||
}
|
||||
</div>
|
||||
</button>
|
||||
<ContentDialog
|
||||
show={open}
|
||||
onClose={() => setOpen(false)}
|
||||
className='!p-0 flex flex-col absolute left-2 top-2 bottom-2 w-[420px] rounded-2xl'
|
||||
>
|
||||
<div className='flex p-4 flex-col justify-center items-start gap-3 self-stretch shrink-0'>
|
||||
<div className='flex items-center gap-3 self-stretch'>
|
||||
<AppIcon
|
||||
size="large"
|
||||
iconType={appDetail.icon_type}
|
||||
icon={appDetail.icon}
|
||||
background={appDetail.icon_background}
|
||||
imageUrl={appDetail.icon_url}
|
||||
/>
|
||||
<div className='flex flex-col justify-center items-start grow w-full'>
|
||||
<div className='text-text-secondary system-md-semibold truncate w-full'>{appDetail.name}</div>
|
||||
<div className='text-text-tertiary system-2xs-medium-uppercase'>{appDetail.mode === 'advanced-chat' ? t('app.types.chatbot') : appDetail.mode === 'agent-chat' ? t('app.types.agent') : appDetail.mode === 'chat' ? t('app.types.chatbot') : appDetail.mode === 'completion' ? t('app.types.completion') : t('app.types.workflow')}</div>
|
||||
</div>
|
||||
)}
|
||||
</div>
|
||||
{/* description */}
|
||||
{appDetail.description && (
|
||||
<div className='text-text-tertiary system-xs-regular'>{appDetail.description}</div>
|
||||
)}
|
||||
{/* operations */}
|
||||
<div className='flex items-center gap-1 self-stretch'>
|
||||
<Button
|
||||
size={'small'}
|
||||
variant={'secondary'}
|
||||
className='gap-[1px]'
|
||||
onClick={() => {
|
||||
</PortalToFollowElemTrigger>
|
||||
<PortalToFollowElemContent className='z-[1002]'>
|
||||
<div className='relative w-[320px] bg-white rounded-2xl shadow-xl'>
|
||||
{/* header */}
|
||||
<div className={cn('flex pl-4 pt-3 pr-3', !appDetail.description && 'pb-2')}>
|
||||
<div className='relative shrink-0 mr-2'>
|
||||
<AppIcon
|
||||
size="large"
|
||||
iconType={appDetail.icon_type}
|
||||
icon={appDetail.icon}
|
||||
background={appDetail.icon_background}
|
||||
imageUrl={appDetail.icon_url}
|
||||
/>
|
||||
<span className='absolute bottom-[-3px] right-[-3px] w-4 h-4 p-0.5 bg-white rounded border-[0.5px] border-[rgba(0,0,0,0.02)] shadow-sm'>
|
||||
{appDetail.mode === 'advanced-chat' && (
|
||||
<ChatBot className='w-3 h-3 text-[#1570EF]' />
|
||||
)}
|
||||
{appDetail.mode === 'agent-chat' && (
|
||||
<CuteRobot className='w-3 h-3 text-indigo-600' />
|
||||
)}
|
||||
{appDetail.mode === 'chat' && (
|
||||
<ChatBot className='w-3 h-3 text-[#1570EF]' />
|
||||
)}
|
||||
{appDetail.mode === 'completion' && (
|
||||
<AiText className='w-3 h-3 text-[#0E9384]' />
|
||||
)}
|
||||
{appDetail.mode === 'workflow' && (
|
||||
<Route className='w-3 h-3 text-[#f79009]' />
|
||||
)}
|
||||
</span>
|
||||
</div>
|
||||
<div className='grow w-0'>
|
||||
<div title={appDetail.name} className='flex justify-between items-center text-sm leading-5 font-medium text-gray-900 truncate'>{appDetail.name}</div>
|
||||
<div className='flex items-center text-[10px] leading-[18px] font-medium text-gray-500 gap-1'>
|
||||
{appDetail.mode === 'advanced-chat' && (
|
||||
<>
|
||||
<div className='shrink-0 px-1 border bg-white border-[rgba(0,0,0,0.08)] rounded-[5px] truncate'>{t('app.types.chatbot').toUpperCase()}</div>
|
||||
<div title={t('app.types.advanced') || ''} className='px-1 border bg-white border-[rgba(0,0,0,0.08)] rounded-[5px] truncate'>{t('app.types.advanced').toUpperCase()}</div>
|
||||
</>
|
||||
)}
|
||||
{appDetail.mode === 'agent-chat' && (
|
||||
<div className='shrink-0 px-1 border bg-white border-[rgba(0,0,0,0.08)] rounded-[5px] truncate'>{t('app.types.agent').toUpperCase()}</div>
|
||||
)}
|
||||
{appDetail.mode === 'chat' && (
|
||||
<>
|
||||
<div className='shrink-0 px-1 border bg-white border-[rgba(0,0,0,0.08)] rounded-[5px] truncate'>{t('app.types.chatbot').toUpperCase()}</div>
|
||||
<div title={t('app.types.basic') || ''} className='px-1 border bg-white border-[rgba(0,0,0,0.08)] rounded-[5px] truncate'>{(t('app.types.basic').toUpperCase())}</div>
|
||||
</>
|
||||
)}
|
||||
{appDetail.mode === 'completion' && (
|
||||
<>
|
||||
<div className='shrink-0 px-1 border bg-white border-[rgba(0,0,0,0.08)] rounded-[5px] truncate'>{t('app.types.completion').toUpperCase()}</div>
|
||||
<div title={t('app.types.basic') || ''} className='px-1 border bg-white border-[rgba(0,0,0,0.08)] rounded-[5px] truncate'>{(t('app.types.basic').toUpperCase())}</div>
|
||||
</>
|
||||
)}
|
||||
{appDetail.mode === 'workflow' && (
|
||||
<div className='shrink-0 px-1 border bg-white border-[rgba(0,0,0,0.08)] rounded-[5px] truncate'>{t('app.types.workflow').toUpperCase()}</div>
|
||||
)}
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
{/* description */}
|
||||
{appDetail.description && (
|
||||
<div className='px-4 py-2 text-gray-500 text-xs leading-[18px]'>{appDetail.description}</div>
|
||||
)}
|
||||
{/* operations */}
|
||||
<Divider className="!my-1" />
|
||||
<div className="w-full py-1">
|
||||
<div className='h-9 py-2 px-3 mx-1 flex items-center hover:bg-gray-50 rounded-lg cursor-pointer' onClick={() => {
|
||||
setOpen(false)
|
||||
setShowEditModal(true)
|
||||
}}
|
||||
>
|
||||
<RiEditLine className='w-3.5 h-3.5 text-components-button-secondary-text' />
|
||||
<span className='text-components-button-secondary-text system-xs-medium'>{t('app.editApp')}</span>
|
||||
</Button>
|
||||
<Button
|
||||
size={'small'}
|
||||
variant={'secondary'}
|
||||
className='gap-[1px]'
|
||||
onClick={() => {
|
||||
}}>
|
||||
<span className='text-gray-700 text-sm leading-5'>{t('app.editApp')}</span>
|
||||
</div>
|
||||
<div className='h-9 py-2 px-3 mx-1 flex items-center hover:bg-gray-50 rounded-lg cursor-pointer' onClick={() => {
|
||||
setOpen(false)
|
||||
setShowDuplicateModal(true)
|
||||
}}
|
||||
}}>
|
||||
<span className='text-gray-700 text-sm leading-5'>{t('app.duplicate')}</span>
|
||||
</div>
|
||||
{(appDetail.mode === 'completion' || appDetail.mode === 'chat') && (
|
||||
<>
|
||||
<Divider className="!my-1" />
|
||||
<div
|
||||
className='h-9 py-2 px-3 mx-1 flex items-center hover:bg-gray-50 rounded-lg cursor-pointer'
|
||||
onMouseEnter={() => setShowSwitchTip(appDetail.mode)}
|
||||
onMouseLeave={() => setShowSwitchTip('')}
|
||||
onClick={() => {
|
||||
setOpen(false)
|
||||
setShowSwitchModal(true)
|
||||
}}
|
||||
>
|
||||
<span className='text-gray-700 text-sm leading-5'>{t('app.switch')}</span>
|
||||
</div>
|
||||
</>
|
||||
)}
|
||||
<Divider className="!my-1" />
|
||||
<div className='h-9 py-2 px-3 mx-1 flex items-center hover:bg-gray-50 rounded-lg cursor-pointer' onClick={exportCheck}>
|
||||
<span className='text-gray-700 text-sm leading-5'>{t('app.export')}</span>
|
||||
</div>
|
||||
{
|
||||
(appDetail.mode === 'advanced-chat' || appDetail.mode === 'workflow') && (
|
||||
<div
|
||||
className='h-9 py-2 px-3 mx-1 flex items-center hover:bg-gray-50 rounded-lg cursor-pointer'
|
||||
onClick={() => {
|
||||
setOpen(false)
|
||||
setShowImportDSLModal(true)
|
||||
}}>
|
||||
<span className='text-gray-700 text-sm leading-5'>{t('workflow.common.importDSL')}</span>
|
||||
</div>
|
||||
)
|
||||
}
|
||||
<Divider className="!my-1" />
|
||||
<div className='group h-9 py-2 px-3 mx-1 flex items-center hover:bg-red-50 rounded-lg cursor-pointer' onClick={() => {
|
||||
setOpen(false)
|
||||
setShowConfirmDelete(true)
|
||||
}}>
|
||||
<span className='text-gray-700 text-sm leading-5 group-hover:text-red-500'>
|
||||
{t('common.operation.delete')}
|
||||
</span>
|
||||
</div>
|
||||
</div>
|
||||
{/* switch tip */}
|
||||
<div
|
||||
className={cn(
|
||||
'hidden absolute left-[324px] top-0 w-[376px] rounded-xl bg-white border-[0.5px] border-[rgba(0,0,0,0.05)] shadow-lg',
|
||||
showSwitchTip && '!block',
|
||||
)}
|
||||
>
|
||||
<RiFileCopy2Line className='w-3.5 h-3.5 text-components-button-secondary-text' />
|
||||
<span className='text-components-button-secondary-text system-xs-medium'>{t('app.duplicate')}</span>
|
||||
</Button>
|
||||
<Button
|
||||
size={'small'}
|
||||
variant={'secondary'}
|
||||
className='gap-[1px]'
|
||||
onClick={exportCheck}
|
||||
>
|
||||
<RiFileDownloadLine className='w-3.5 h-3.5 text-components-button-secondary-text' />
|
||||
<span className='text-components-button-secondary-text system-xs-medium'>{t('app.export')}</span>
|
||||
</Button>
|
||||
{
|
||||
(appDetail.mode === 'advanced-chat' || appDetail.mode === 'workflow') && (
|
||||
<Button
|
||||
size={'small'}
|
||||
variant={'secondary'}
|
||||
className='gap-[1px]'
|
||||
onClick={() => {
|
||||
setOpen(false)
|
||||
setShowImportDSLModal(true)
|
||||
}}
|
||||
>
|
||||
<RiFileUploadLine className='w-3.5 h-3.5 text-components-button-secondary-text' />
|
||||
<span className='text-components-button-secondary-text system-xs-medium'>{t('workflow.common.importDSL')}</span>
|
||||
</Button>
|
||||
)
|
||||
}
|
||||
<div className={cn(
|
||||
'w-full h-[256px] bg-center bg-no-repeat bg-contain rounded-xl',
|
||||
showSwitchTip === 'chat' && s.expertPic,
|
||||
showSwitchTip === 'completion' && s.completionPic,
|
||||
)} />
|
||||
<div className='px-4 pb-2'>
|
||||
<div className='flex items-center gap-1 text-gray-700 text-md leading-6 font-semibold'>
|
||||
{showSwitchTip === 'chat' ? t('app.types.advanced') : t('app.types.workflow')}
|
||||
<span className='px-1 rounded-[5px] bg-white border border-black/8 text-gray-500 text-[10px] leading-[18px] font-medium'>BETA</span>
|
||||
</div>
|
||||
<div className='text-orange-500 text-xs leading-[18px] font-medium'>{t('app.newApp.advancedFor').toLocaleUpperCase()}</div>
|
||||
<div className='mt-1 text-gray-500 text-sm leading-5'>{t('app.newApp.advancedDescription')}</div>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
<div className='flex flex-1'>
|
||||
<CardView
|
||||
appId={appDetail.id}
|
||||
isInPanel={true}
|
||||
className='flex flex-col px-2 py-1 gap-2 grow overflow-auto'
|
||||
</PortalToFollowElemContent>
|
||||
{showSwitchModal && (
|
||||
<SwitchAppModal
|
||||
inAppDetail
|
||||
show={showSwitchModal}
|
||||
appDetail={appDetail}
|
||||
onClose={() => setShowSwitchModal(false)}
|
||||
onSuccess={() => setShowSwitchModal(false)}
|
||||
/>
|
||||
</div>
|
||||
<div className='flex p-2 flex-col justify-center items-start gap-3 self-stretch border-t-[0.5px] border-divider-subtle shrink-0 min-h-fit'>
|
||||
<Button
|
||||
size={'medium'}
|
||||
variant={'ghost'}
|
||||
className='gap-0.5'
|
||||
onClick={() => {
|
||||
setOpen(false)
|
||||
setShowConfirmDelete(true)
|
||||
}}
|
||||
>
|
||||
<RiDeleteBinLine className='w-4 h-4 text-text-tertiary' />
|
||||
<span className='text-text-tertiary system-sm-medium'>{t('common.operation.deleteApp')}</span>
|
||||
</Button>
|
||||
</div>
|
||||
</ContentDialog>
|
||||
{showSwitchModal && (
|
||||
<SwitchAppModal
|
||||
inAppDetail
|
||||
show={showSwitchModal}
|
||||
appDetail={appDetail}
|
||||
onClose={() => setShowSwitchModal(false)}
|
||||
onSuccess={() => setShowSwitchModal(false)}
|
||||
/>
|
||||
)}
|
||||
{showEditModal && (
|
||||
<CreateAppModal
|
||||
isEditModal
|
||||
appName={appDetail.name}
|
||||
appIconType={appDetail.icon_type}
|
||||
appIcon={appDetail.icon}
|
||||
appIconBackground={appDetail.icon_background}
|
||||
appIconUrl={appDetail.icon_url}
|
||||
appDescription={appDetail.description}
|
||||
appMode={appDetail.mode}
|
||||
appUseIconAsAnswerIcon={appDetail.use_icon_as_answer_icon}
|
||||
show={showEditModal}
|
||||
onConfirm={onEdit}
|
||||
onHide={() => setShowEditModal(false)}
|
||||
/>
|
||||
)}
|
||||
{showDuplicateModal && (
|
||||
<DuplicateAppModal
|
||||
appName={appDetail.name}
|
||||
icon_type={appDetail.icon_type}
|
||||
icon={appDetail.icon}
|
||||
icon_background={appDetail.icon_background}
|
||||
icon_url={appDetail.icon_url}
|
||||
show={showDuplicateModal}
|
||||
onConfirm={onCopy}
|
||||
onHide={() => setShowDuplicateModal(false)}
|
||||
/>
|
||||
)}
|
||||
{showConfirmDelete && (
|
||||
<Confirm
|
||||
title={t('app.deleteAppConfirmTitle')}
|
||||
content={t('app.deleteAppConfirmContent')}
|
||||
isShow={showConfirmDelete}
|
||||
onConfirm={onConfirmDelete}
|
||||
onCancel={() => setShowConfirmDelete(false)}
|
||||
/>
|
||||
)}
|
||||
{showImportDSLModal && (
|
||||
<UpdateDSLModal
|
||||
onCancel={() => setShowImportDSLModal(false)}
|
||||
onBackup={exportCheck}
|
||||
/>
|
||||
)}
|
||||
{secretEnvList.length > 0 && (
|
||||
<DSLExportConfirmModal
|
||||
envList={secretEnvList}
|
||||
onConfirm={onExport}
|
||||
onClose={() => setSecretEnvList([])}
|
||||
/>
|
||||
)}
|
||||
</div>
|
||||
)}
|
||||
{showEditModal && (
|
||||
<CreateAppModal
|
||||
isEditModal
|
||||
appName={appDetail.name}
|
||||
appIconType={appDetail.icon_type}
|
||||
appIcon={appDetail.icon}
|
||||
appIconBackground={appDetail.icon_background}
|
||||
appIconUrl={appDetail.icon_url}
|
||||
appDescription={appDetail.description}
|
||||
appMode={appDetail.mode}
|
||||
appUseIconAsAnswerIcon={appDetail.use_icon_as_answer_icon}
|
||||
show={showEditModal}
|
||||
onConfirm={onEdit}
|
||||
onHide={() => setShowEditModal(false)}
|
||||
/>
|
||||
)}
|
||||
{showDuplicateModal && (
|
||||
<DuplicateAppModal
|
||||
appName={appDetail.name}
|
||||
icon_type={appDetail.icon_type}
|
||||
icon={appDetail.icon}
|
||||
icon_background={appDetail.icon_background}
|
||||
icon_url={appDetail.icon_url}
|
||||
show={showDuplicateModal}
|
||||
onConfirm={onCopy}
|
||||
onHide={() => setShowDuplicateModal(false)}
|
||||
/>
|
||||
)}
|
||||
{showConfirmDelete && (
|
||||
<Confirm
|
||||
title={t('app.deleteAppConfirmTitle')}
|
||||
content={t('app.deleteAppConfirmContent')}
|
||||
isShow={showConfirmDelete}
|
||||
onConfirm={onConfirmDelete}
|
||||
onCancel={() => setShowConfirmDelete(false)}
|
||||
/>
|
||||
)}
|
||||
{showImportDSLModal && (
|
||||
<UpdateDSLModal
|
||||
onCancel={() => setShowImportDSLModal(false)}
|
||||
onBackup={exportCheck}
|
||||
/>
|
||||
)}
|
||||
{secretEnvList.length > 0 && (
|
||||
<DSLExportConfirmModal
|
||||
envList={secretEnvList}
|
||||
onConfirm={onExport}
|
||||
onClose={() => setSecretEnvList([])}
|
||||
/>
|
||||
)}
|
||||
</div>
|
||||
</PortalToFollowElem>
|
||||
)
|
||||
}
|
||||
|
||||
|
||||
@@ -58,7 +58,7 @@ export default function AppBasic({ icon, icon_background, name, isExternal, type
|
||||
const { t } = useTranslation()
|
||||
|
||||
return (
|
||||
<div className="flex items-center grow">
|
||||
<div className="flex items-start p-1">
|
||||
{icon && icon_background && iconType === 'app' && (
|
||||
<div className='flex-shrink-0 mr-3'>
|
||||
<AppIcon icon={icon} background={icon_background} />
|
||||
@@ -71,10 +71,8 @@ export default function AppBasic({ icon, icon_background, name, isExternal, type
|
||||
|
||||
}
|
||||
{mode === 'expand' && <div className="group">
|
||||
<div className={`flex flex-row items-center system-md-semibold text-text-secondary group-hover:text-text-primary ${textStyle?.main ?? ''}`}>
|
||||
<div className="max-w-[180px] truncate">
|
||||
{name}
|
||||
</div>
|
||||
<div className={`flex flex-row items-center text-sm font-semibold text-gray-700 group-hover:text-gray-900 break-all ${textStyle?.main ?? ''}`}>
|
||||
{name}
|
||||
{hoverTip
|
||||
&& <Tooltip
|
||||
popupContent={
|
||||
@@ -88,6 +86,7 @@ export default function AppBasic({ icon, icon_background, name, isExternal, type
|
||||
/>
|
||||
}
|
||||
</div>
|
||||
<div className={`text-xs font-normal text-gray-500 group-hover:text-gray-700 break-all ${textStyle?.extra ?? ''}`}>{type}</div>
|
||||
<div className='text-text-tertiary system-2xs-medium-uppercase'>{isExternal ? t('dataset.externalTag') : ''}</div>
|
||||
</div>}
|
||||
</div>
|
||||
|
||||
@@ -57,7 +57,7 @@ const AppDetailNav = ({ title, desc, isExternal, icon, icon_background, navigati
|
||||
<div
|
||||
className={`
|
||||
shrink-0
|
||||
${expand ? 'p-2' : 'p-1'}
|
||||
${expand ? 'p-3' : 'p-2'}
|
||||
`}
|
||||
>
|
||||
{iconType === 'app' && (
|
||||
|
||||
@@ -1,14 +1,14 @@
|
||||
'use client'
|
||||
import type { HTMLProps } from 'react'
|
||||
import React, { useMemo, useState } from 'react'
|
||||
import {
|
||||
Cog8ToothIcon,
|
||||
DocumentTextIcon,
|
||||
PaintBrushIcon,
|
||||
RocketLaunchIcon,
|
||||
} from '@heroicons/react/24/outline'
|
||||
import { usePathname, useRouter } from 'next/navigation'
|
||||
import { useTranslation } from 'react-i18next'
|
||||
import {
|
||||
RiBookOpenLine,
|
||||
RiEqualizer2Line,
|
||||
RiExternalLinkLine,
|
||||
RiPaintBrushLine,
|
||||
RiWindowLine,
|
||||
} from '@remixicon/react'
|
||||
import SettingsModal from './settings'
|
||||
import EmbeddedModal from './embedded'
|
||||
import CustomizeModal from './customize'
|
||||
@@ -18,6 +18,7 @@ import Tooltip from '@/app/components/base/tooltip'
|
||||
import AppBasic from '@/app/components/app-sidebar/basic'
|
||||
import { asyncRunSafe, randomString } from '@/utils'
|
||||
import Button from '@/app/components/base/button'
|
||||
import Tag from '@/app/components/base/tag'
|
||||
import Switch from '@/app/components/base/switch'
|
||||
import Divider from '@/app/components/base/divider'
|
||||
import CopyFeedback from '@/app/components/base/copy-feedback'
|
||||
@@ -27,12 +28,10 @@ import SecretKeyButton from '@/app/components/develop/secret-key/secret-key-butt
|
||||
import type { AppDetailResponse } from '@/models/app'
|
||||
import { useAppContext } from '@/context/app-context'
|
||||
import type { AppSSO } from '@/types/app'
|
||||
import Indicator from '@/app/components/header/indicator'
|
||||
|
||||
export type IAppCardProps = {
|
||||
className?: string
|
||||
appInfo: AppDetailResponse & Partial<AppSSO>
|
||||
isInPanel?: boolean
|
||||
cardType?: 'api' | 'webapp'
|
||||
customBgColor?: string
|
||||
onChangeStatus: (val: boolean) => Promise<void>
|
||||
@@ -40,9 +39,12 @@ export type IAppCardProps = {
|
||||
onGenerateCode?: () => Promise<void>
|
||||
}
|
||||
|
||||
const EmbedIcon = ({ className = '' }: HTMLProps<HTMLDivElement>) => {
|
||||
return <div className={`${style.codeBrowserIcon} ${className}`}></div>
|
||||
}
|
||||
|
||||
function AppCard({
|
||||
appInfo,
|
||||
isInPanel,
|
||||
cardType = 'webapp',
|
||||
customBgColor,
|
||||
onChangeStatus,
|
||||
@@ -64,18 +66,17 @@ function AppCard({
|
||||
const OPERATIONS_MAP = useMemo(() => {
|
||||
const operationsMap = {
|
||||
webapp: [
|
||||
{ opName: t('appOverview.overview.appInfo.launch'), opIcon: RiExternalLinkLine },
|
||||
{ opName: t('appOverview.overview.appInfo.preview'), opIcon: RocketLaunchIcon },
|
||||
{ opName: t('appOverview.overview.appInfo.customize.entry'), opIcon: PaintBrushIcon },
|
||||
] as { opName: string; opIcon: any }[],
|
||||
api: [{ opName: t('appOverview.overview.apiInfo.doc'), opIcon: RiBookOpenLine }],
|
||||
api: [{ opName: t('appOverview.overview.apiInfo.doc'), opIcon: DocumentTextIcon }],
|
||||
app: [],
|
||||
}
|
||||
if (appInfo.mode !== 'completion' && appInfo.mode !== 'workflow')
|
||||
operationsMap.webapp.push({ opName: t('appOverview.overview.appInfo.embedded.entry'), opIcon: RiWindowLine })
|
||||
|
||||
operationsMap.webapp.push({ opName: t('appOverview.overview.appInfo.customize.entry'), opIcon: RiPaintBrushLine })
|
||||
operationsMap.webapp.push({ opName: t('appOverview.overview.appInfo.embedded.entry'), opIcon: EmbedIcon })
|
||||
|
||||
if (isCurrentWorkspaceEditor)
|
||||
operationsMap.webapp.push({ opName: t('appOverview.overview.appInfo.settings.entry'), opIcon: RiEqualizer2Line })
|
||||
operationsMap.webapp.push({ opName: t('appOverview.overview.appInfo.settings.entry'), opIcon: Cog8ToothIcon })
|
||||
|
||||
return operationsMap
|
||||
}, [isCurrentWorkspaceEditor, appInfo, t])
|
||||
@@ -91,9 +92,13 @@ function AppCard({
|
||||
const appUrl = `${app_base_url}/${appMode}/${access_token}`
|
||||
const apiUrl = appInfo?.api_base_url
|
||||
|
||||
let bgColor = 'bg-primary-50 bg-opacity-40'
|
||||
if (cardType === 'api')
|
||||
bgColor = 'bg-purple-50'
|
||||
|
||||
const genClickFuncByName = (opName: string) => {
|
||||
switch (opName) {
|
||||
case t('appOverview.overview.appInfo.launch'):
|
||||
case t('appOverview.overview.appInfo.preview'):
|
||||
return () => {
|
||||
window.open(appUrl, '_blank')
|
||||
}
|
||||
@@ -130,50 +135,49 @@ function AppCard({
|
||||
return (
|
||||
<div
|
||||
className={
|
||||
`${isInPanel ? 'border-l-[0.5px] border-t' : 'shadow-xs border-[0.5px]'} rounded-xl border-effects-highlight w-full max-w-full ${className ?? ''}`}
|
||||
`shadow-xs border-[0.5px] rounded-lg border-gray-200 ${className ?? ''}`}
|
||||
>
|
||||
<div className={`${customBgColor ?? 'bg-background-default'} rounded-xl`}>
|
||||
<div className='flex flex-col p-3 justify-center items-start gap-3 self-stretch border-b-[0.5px] border-divider-subtle w-full'>
|
||||
<div className='flex items-center gap-3 self-stretch w-full'>
|
||||
<AppBasic
|
||||
iconType={cardType}
|
||||
icon={appInfo.icon}
|
||||
icon_background={appInfo.icon_background}
|
||||
name={basicName}
|
||||
type={
|
||||
isApp
|
||||
? t('appOverview.overview.appInfo.explanation')
|
||||
: t('appOverview.overview.apiInfo.explanation')
|
||||
}
|
||||
/>
|
||||
<div className='flex items-center gap-1'>
|
||||
<Indicator color={runningStatus ? 'green' : 'yellow'} />
|
||||
<div className={`${runningStatus ? 'text-text-success' : 'text-text-warning'} system-xs-semibold-uppercase`}>
|
||||
{runningStatus
|
||||
? t('appOverview.overview.status.running')
|
||||
: t('appOverview.overview.status.disable')}
|
||||
</div>
|
||||
</div>
|
||||
<div className={`px-6 py-5 ${customBgColor ?? bgColor} rounded-lg`}>
|
||||
<div className="mb-2.5 flex flex-row items-start justify-between">
|
||||
<AppBasic
|
||||
iconType={cardType}
|
||||
icon={appInfo.icon}
|
||||
icon_background={appInfo.icon_background}
|
||||
name={basicName}
|
||||
type={
|
||||
isApp
|
||||
? t('appOverview.overview.appInfo.explanation')
|
||||
: t('appOverview.overview.apiInfo.explanation')
|
||||
}
|
||||
/>
|
||||
<div className="flex flex-row items-center h-9">
|
||||
<Tag className="mr-2" color={runningStatus ? 'green' : 'yellow'}>
|
||||
{runningStatus
|
||||
? t('appOverview.overview.status.running')
|
||||
: t('appOverview.overview.status.disable')}
|
||||
</Tag>
|
||||
<Switch defaultValue={runningStatus} onChange={onChangeStatus} disabled={toggleDisabled} />
|
||||
</div>
|
||||
<div className='flex flex-col justify-center items-start self-stretch'>
|
||||
<div className="pb-1 system-xs-medium text-text-tertiary">
|
||||
</div>
|
||||
<div className="flex flex-col justify-center py-2">
|
||||
<div className="py-1">
|
||||
<div className="pb-1 text-xs text-gray-500">
|
||||
{isApp
|
||||
? t('appOverview.overview.appInfo.accessibleAddress')
|
||||
: t('appOverview.overview.apiInfo.accessibleAddress')}
|
||||
</div>
|
||||
<div className="w-full h-9 pl-2 p-1 bg-components-input-bg-normal rounded-lg items-center inline-flex gap-0.5">
|
||||
<div className="h-4 px-1 justify-start items-start gap-2 flex flex-1 min-w-0">
|
||||
<div className="text-text-secondary text-xs font-medium text-ellipsis overflow-hidden whitespace-nowrap">
|
||||
<div className="w-full h-9 pl-2 pr-0.5 py-0.5 bg-black bg-opacity-2 rounded-lg border border-black border-opacity-5 justify-start items-center inline-flex">
|
||||
<div className="h-4 px-2 justify-start items-start gap-2 flex flex-1 min-w-0">
|
||||
<div className="text-gray-700 text-xs font-medium text-ellipsis overflow-hidden whitespace-nowrap">
|
||||
{isApp ? appUrl : apiUrl}
|
||||
</div>
|
||||
</div>
|
||||
<Divider type="vertical" className="!h-3.5 shrink-0 !mx-0.5" />
|
||||
{isApp && <ShareQRCode content={isApp ? appUrl : apiUrl} selectorId={randomString(8)} className={'hover:bg-gray-200'} />}
|
||||
<CopyFeedback
|
||||
content={isApp ? appUrl : apiUrl}
|
||||
className={'!size-6'}
|
||||
className={'hover:bg-gray-200'}
|
||||
/>
|
||||
{isApp && <ShareQRCode content={isApp ? appUrl : apiUrl} className='z-50 !size-6 hover:bg-state-base-hover rounded-md' selectorId={randomString(8)} />}
|
||||
{isApp && <Divider type="vertical" className="!h-3.5 shrink-0 !mx-0.5" />}
|
||||
{/* button copy link/ button regenerate */}
|
||||
{showConfirmDelete && (
|
||||
<Confirm
|
||||
@@ -193,7 +197,7 @@ function AppCard({
|
||||
popupContent={t('appOverview.overview.appInfo.regenerate') || ''}
|
||||
>
|
||||
<div
|
||||
className="w-6 h-6 cursor-pointer hover:bg-state-base-hover rounded-md"
|
||||
className="w-8 h-8 ml-0.5 cursor-pointer hover:bg-gray-200 rounded-lg"
|
||||
onClick={() => setShowConfirmDelete(true)}
|
||||
>
|
||||
<div
|
||||
@@ -206,8 +210,8 @@ function AppCard({
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
<div className={'flex p-3 items-center gap-1 self-stretch'}>
|
||||
{!isApp && <SecretKeyButton appId={appInfo.id} />}
|
||||
<div className={'pt-2 flex flex-row items-center flex-wrap gap-y-2'}>
|
||||
{!isApp && <SecretKeyButton className='flex-shrink-0 !h-8 bg-white mr-2' textCls='!text-gray-700 font-medium' iconCls='stroke-[1.2px]' appId={appInfo.id} />}
|
||||
{OPERATIONS_MAP[cardType].map((op) => {
|
||||
const disabled
|
||||
= op.opName === t('appOverview.overview.appInfo.settings.entry')
|
||||
@@ -215,9 +219,7 @@ function AppCard({
|
||||
: !runningStatus
|
||||
return (
|
||||
<Button
|
||||
className="mr-1 min-w-[88px]"
|
||||
size="small"
|
||||
variant={'ghost'}
|
||||
className="mr-2"
|
||||
key={op.opName}
|
||||
onClick={genClickFuncByName(op.opName)}
|
||||
disabled={disabled}
|
||||
@@ -228,9 +230,9 @@ function AppCard({
|
||||
}
|
||||
popupClassName={disabled ? 'mt-[-8px]' : '!hidden'}
|
||||
>
|
||||
<div className="flex items-center justify-center gap-[1px]">
|
||||
<op.opIcon className="h-3.5 w-3.5" />
|
||||
<div className={`${runningStatus ? 'text-text-tertiary' : 'text-components-button-ghost-text-disabled'} system-xs-medium px-[3px]`}>{op.opName}</div>
|
||||
<div className="flex flex-row items-center">
|
||||
<op.opIcon className="h-4 w-4 mr-1.5 stroke-[1.8px]" />
|
||||
<span className="text-[13px]">{op.opName}</span>
|
||||
</div>
|
||||
</Tooltip>
|
||||
</Button>
|
||||
|
||||
@@ -289,7 +289,6 @@ const SettingsModal: FC<ISettingsModalProps> = ({
|
||||
items={languages.filter(item => item.supported)}
|
||||
defaultValue={language}
|
||||
onSelect={item => setLanguage(item.value as Language)}
|
||||
notClearable
|
||||
/>
|
||||
</div>
|
||||
{/* theme color */}
|
||||
|
||||
@@ -78,7 +78,7 @@ const ConfigPanel = () => {
|
||||
styleCss={CssTransform(themeBuilder.theme?.backgroundButtonDefaultColorStyle ?? '')}
|
||||
variant='secondary-accent'
|
||||
size='small'
|
||||
className='shrink-0 text-white'
|
||||
className='shrink-0'
|
||||
onClick={() => setCollapsed(false)}
|
||||
>
|
||||
<Edit02 className='mr-1 w-3 h-3' />
|
||||
|
||||
@@ -1,59 +0,0 @@
|
||||
import { Fragment, type ReactNode } from 'react'
|
||||
import { Transition } from '@headlessui/react'
|
||||
import classNames from '@/utils/classnames'
|
||||
|
||||
type ContentDialogProps = {
|
||||
className?: string
|
||||
show: boolean
|
||||
onClose?: () => void
|
||||
children: ReactNode
|
||||
}
|
||||
|
||||
const ContentDialog = ({
|
||||
className,
|
||||
show,
|
||||
onClose,
|
||||
children,
|
||||
}: ContentDialogProps) => {
|
||||
return (
|
||||
<Transition
|
||||
show={show}
|
||||
as="div"
|
||||
className="absolute left-0 top-0 w-full h-full z-20 p-2 box-border"
|
||||
>
|
||||
<Transition.Child
|
||||
as={Fragment}
|
||||
enter="ease-out duration-300"
|
||||
enterFrom="opacity-0"
|
||||
enterTo="opacity-100"
|
||||
leave="ease-in duration-200"
|
||||
leaveFrom="opacity-100"
|
||||
leaveTo="opacity-0"
|
||||
>
|
||||
<div
|
||||
className="absolute left-0 inset-0 w-full bg-app-detail-overlay-bg"
|
||||
onClick={onClose}
|
||||
/>
|
||||
</Transition.Child>
|
||||
|
||||
<Transition.Child
|
||||
as={Fragment}
|
||||
enter="transform transition ease-out duration-300"
|
||||
enterFrom="-translate-x-full"
|
||||
enterTo="translate-x-0"
|
||||
leave="transform transition ease-in duration-200"
|
||||
leaveFrom="translate-x-0"
|
||||
leaveTo="-translate-x-full"
|
||||
>
|
||||
<div className={classNames(
|
||||
'absolute left-0 w-full bg-app-detail-bg border-r border-divider-burn',
|
||||
className,
|
||||
)}>
|
||||
{children}
|
||||
</div>
|
||||
</Transition.Child>
|
||||
</Transition>
|
||||
)
|
||||
}
|
||||
|
||||
export default ContentDialog
|
||||
Some files were not shown because too many files have changed in this diff Show More
Reference in New Issue
Block a user