Merge branch 'main' into feat/agent-node-v2

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"feature-dev@claude-plugins-official": true,
"context7@claude-plugins-official": true,
"typescript-lsp@claude-plugins-official": true,
"pyright-lsp@claude-plugins-official": true
"pyright-lsp@claude-plugins-official": true,
"ralph-loop@claude-plugins-official": true
}
}

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---
name: frontend-code-review
description: "Trigger when the user requests a review of frontend files (e.g., `.tsx`, `.ts`, `.js`). Support both pending-change reviews and focused file reviews while applying the checklist rules."
---
# Frontend Code Review
## Intent
Use this skill whenever the user asks to review frontend code (especially `.tsx`, `.ts`, or `.js` files). Support two review modes:
1. **Pending-change review** inspect staged/working-tree files slated for commit and flag checklist violations before submission.
2. **File-targeted review** review the specific file(s) the user names and report the relevant checklist findings.
Stick to the checklist below for every applicable file and mode.
## Checklist
See [references/code-quality.md](references/code-quality.md), [references/performance.md](references/performance.md), [references/business-logic.md](references/business-logic.md) for the living checklist split by category—treat it as the canonical set of rules to follow.
Flag each rule violation with urgency metadata so future reviewers can prioritize fixes.
## Review Process
1. Open the relevant component/module. Gather lines that relate to class names, React Flow hooks, prop memoization, and styling.
2. For each rule in the review point, note where the code deviates and capture a representative snippet.
3. Compose the review section per the template below. Group violations first by **Urgent** flag, then by category order (Code Quality, Performance, Business Logic).
## Required output
When invoked, the response must exactly follow one of the two templates:
### Template A (any findings)
```
# Code review
Found <N> urgent issues need to be fixed:
## 1 <brief description of bug>
FilePath: <path> line <line>
<relevant code snippet or pointer>
### Suggested fix
<brief description of suggested fix>
---
... (repeat for each urgent issue) ...
Found <M> suggestions for improvement:
## 1 <brief description of suggestion>
FilePath: <path> line <line>
<relevant code snippet or pointer>
### Suggested fix
<brief description of suggested fix>
---
... (repeat for each suggestion) ...
```
If there are no urgent issues, omit that section. If there are no suggestions, omit that section.
If the issue number is more than 10, summarize as "10+ urgent issues" or "10+ suggestions" and just output the first 10 issues.
Don't compress the blank lines between sections; keep them as-is for readability.
If you use Template A (i.e., there are issues to fix) and at least one issue requires code changes, append a brief follow-up question after the structured output asking whether the user wants you to apply the suggested fix(es). For example: "Would you like me to use the Suggested fix section to address these issues?"
### Template B (no issues)
```
## Code review
No issues found.
```

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# Rule Catalog — Business Logic
## Can't use workflowStore in Node components
IsUrgent: True
### Description
File path pattern of node components: `web/app/components/workflow/nodes/[nodeName]/node.tsx`
Node components are also used when creating a RAG Pipe from a template, but in that context there is no workflowStore Provider, which results in a blank screen. [This Issue](https://github.com/langgenius/dify/issues/29168) was caused by exactly this reason.
### Suggested Fix
Use `import { useNodes } from 'reactflow'` instead of `import useNodes from '@/app/components/workflow/store/workflow/use-nodes'`.

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# Rule Catalog — Code Quality
## Conditional class names use utility function
IsUrgent: True
Category: Code Quality
### Description
Ensure conditional CSS is handled via the shared `classNames` instead of custom ternaries, string concatenation, or template strings. Centralizing class logic keeps components consistent and easier to maintain.
### Suggested Fix
```ts
import { cn } from '@/utils/classnames'
const classNames = cn(isActive ? 'text-primary-600' : 'text-gray-500')
```
## Tailwind-first styling
IsUrgent: True
Category: Code Quality
### Description
Favor Tailwind CSS utility classes instead of adding new `.module.css` files unless a Tailwind combination cannot achieve the required styling. Keeping styles in Tailwind improves consistency and reduces maintenance overhead.
Update this file when adding, editing, or removing Code Quality rules so the catalog remains accurate.
## Classname ordering for easy overrides
### Description
When writing components, always place the incoming `className` prop after the components own class values so that downstream consumers can override or extend the styling. This keeps your components defaults but still lets external callers change or remove specific styles.
Example:
```tsx
import { cn } from '@/utils/classnames'
const Button = ({ className }) => {
return <div className={cn('bg-primary-600', className)}></div>
}
```

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# Rule Catalog — Performance
## React Flow data usage
IsUrgent: True
Category: Performance
### Description
When rendering React Flow, prefer `useNodes`/`useEdges` for UI consumption and rely on `useStoreApi` inside callbacks that mutate or read node/edge state. Avoid manually pulling Flow data outside of these hooks.
## Complex prop memoization
IsUrgent: True
Category: Performance
### Description
Wrap complex prop values (objects, arrays, maps) in `useMemo` prior to passing them into child components to guarantee stable references and prevent unnecessary renders.
Update this file when adding, editing, or removing Performance rules so the catalog remains accurate.
Wrong:
```tsx
<HeavyComp
config={{
provider: ...,
detail: ...
}}
/>
```
Right:
```tsx
const config = useMemo(() => ({
provider: ...,
detail: ...
}), [provider, detail]);
<HeavyComp
config={config}
/>
```

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@ -28,17 +28,14 @@ import userEvent from '@testing-library/user-event'
// i18n (automatically mocked)
// WHY: Global mock in web/vitest.setup.ts is auto-loaded by Vitest setup
// No explicit mock needed - it returns translation keys as-is
// The global mock provides: useTranslation, Trans, useMixedTranslation, useGetLanguage
// No explicit mock needed for most tests
//
// Override only if custom translations are required:
// vi.mock('react-i18next', () => ({
// useTranslation: () => ({
// t: (key: string) => {
// const customTranslations: Record<string, string> = {
// 'my.custom.key': 'Custom Translation',
// }
// return customTranslations[key] || key
// },
// }),
// import { createReactI18nextMock } from '@/test/i18n-mock'
// vi.mock('react-i18next', () => createReactI18nextMock({
// 'my.custom.key': 'Custom Translation',
// 'button.save': 'Save',
// }))
// Router (if component uses useRouter, usePathname, useSearchParams)

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@ -52,23 +52,29 @@ Modules are not mocked automatically. Use `vi.mock` in test files, or add global
### 1. i18n (Auto-loaded via Global Mock)
A global mock is defined in `web/vitest.setup.ts` and is auto-loaded by Vitest setup.
**No explicit mock needed** for most tests - it returns translation keys as-is.
For tests requiring custom translations, override the mock:
The global mock provides:
- `useTranslation` - returns translation keys with namespace prefix
- `Trans` component - renders i18nKey and components
- `useMixedTranslation` (from `@/app/components/plugins/marketplace/hooks`)
- `useGetLanguage` (from `@/context/i18n`) - returns `'en-US'`
**Default behavior**: Most tests should use the global mock (no local override needed).
**For custom translations**: Use the helper function from `@/test/i18n-mock`:
```typescript
vi.mock('react-i18next', () => ({
useTranslation: () => ({
t: (key: string) => {
const translations: Record<string, string> = {
'my.custom.key': 'Custom translation',
}
return translations[key] || key
},
}),
import { createReactI18nextMock } from '@/test/i18n-mock'
vi.mock('react-i18next', () => createReactI18nextMock({
'my.custom.key': 'Custom translation',
'button.save': 'Save',
}))
```
**Avoid**: Manually defining `useTranslation` mocks that just return the key - the global mock already does this.
### 2. Next.js Router
```typescript

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---
name: skill-creator
description: Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or tool integrations.
---
# Skill Creator
This skill provides guidance for creating effective skills.
## About Skills
Skills are modular, self-contained packages that extend Claude's capabilities by providing
specialized knowledge, workflows, and tools. Think of them as "onboarding guides" for specific
domains or tasks—they transform Claude from a general-purpose agent into a specialized agent
equipped with procedural knowledge that no model can fully possess.
### What Skills Provide
1. Specialized workflows - Multi-step procedures for specific domains
2. Tool integrations - Instructions for working with specific file formats or APIs
3. Domain expertise - Company-specific knowledge, schemas, business logic
4. Bundled resources - Scripts, references, and assets for complex and repetitive tasks
## Core Principles
### Concise is Key
The context window is a public good. Skills share the context window with everything else Claude needs: system prompt, conversation history, other Skills' metadata, and the actual user request.
**Default assumption: Claude is already very smart.** Only add context Claude doesn't already have. Challenge each piece of information: "Does Claude really need this explanation?" and "Does this paragraph justify its token cost?"
Prefer concise examples over verbose explanations.
### Set Appropriate Degrees of Freedom
Match the level of specificity to the task's fragility and variability:
**High freedom (text-based instructions)**: Use when multiple approaches are valid, decisions depend on context, or heuristics guide the approach.
**Medium freedom (pseudocode or scripts with parameters)**: Use when a preferred pattern exists, some variation is acceptable, or configuration affects behavior.
**Low freedom (specific scripts, few parameters)**: Use when operations are fragile and error-prone, consistency is critical, or a specific sequence must be followed.
Think of Claude as exploring a path: a narrow bridge with cliffs needs specific guardrails (low freedom), while an open field allows many routes (high freedom).
### Anatomy of a Skill
Every skill consists of a required SKILL.md file and optional bundled resources:
```
skill-name/
├── SKILL.md (required)
│ ├── YAML frontmatter metadata (required)
│ │ ├── name: (required)
│ │ └── description: (required)
│ └── Markdown instructions (required)
└── Bundled Resources (optional)
├── scripts/ - Executable code (Python/Bash/etc.)
├── references/ - Documentation intended to be loaded into context as needed
└── assets/ - Files used in output (templates, icons, fonts, etc.)
```
#### SKILL.md (required)
Every SKILL.md consists of:
- **Frontmatter** (YAML): Contains `name` and `description` fields. These are the only fields that Claude reads to determine when the skill gets used, thus it is very important to be clear and comprehensive in describing what the skill is, and when it should be used.
- **Body** (Markdown): Instructions and guidance for using the skill. Only loaded AFTER the skill triggers (if at all).
#### Bundled Resources (optional)
##### Scripts (`scripts/`)
Executable code (Python/Bash/etc.) for tasks that require deterministic reliability or are repeatedly rewritten.
- **When to include**: When the same code is being rewritten repeatedly or deterministic reliability is needed
- **Example**: `scripts/rotate_pdf.py` for PDF rotation tasks
- **Benefits**: Token efficient, deterministic, may be executed without loading into context
- **Note**: Scripts may still need to be read by Claude for patching or environment-specific adjustments
##### References (`references/`)
Documentation and reference material intended to be loaded as needed into context to inform Claude's process and thinking.
- **When to include**: For documentation that Claude should reference while working
- **Examples**: `references/finance.md` for financial schemas, `references/mnda.md` for company NDA template, `references/policies.md` for company policies, `references/api_docs.md` for API specifications
- **Use cases**: Database schemas, API documentation, domain knowledge, company policies, detailed workflow guides
- **Benefits**: Keeps SKILL.md lean, loaded only when Claude determines it's needed
- **Best practice**: If files are large (>10k words), include grep search patterns in SKILL.md
- **Avoid duplication**: Information should live in either SKILL.md or references files, not both. Prefer references files for detailed information unless it's truly core to the skill—this keeps SKILL.md lean while making information discoverable without hogging the context window. Keep only essential procedural instructions and workflow guidance in SKILL.md; move detailed reference material, schemas, and examples to references files.
##### Assets (`assets/`)
Files not intended to be loaded into context, but rather used within the output Claude produces.
- **When to include**: When the skill needs files that will be used in the final output
- **Examples**: `assets/logo.png` for brand assets, `assets/slides.pptx` for PowerPoint templates, `assets/frontend-template/` for HTML/React boilerplate, `assets/font.ttf` for typography
- **Use cases**: Templates, images, icons, boilerplate code, fonts, sample documents that get copied or modified
- **Benefits**: Separates output resources from documentation, enables Claude to use files without loading them into context
#### What to Not Include in a Skill
A skill should only contain essential files that directly support its functionality. Do NOT create extraneous documentation or auxiliary files, including:
- README.md
- INSTALLATION_GUIDE.md
- QUICK_REFERENCE.md
- CHANGELOG.md
- etc.
The skill should only contain the information needed for an AI agent to do the job at hand. It should not contain auxilary context about the process that went into creating it, setup and testing procedures, user-facing documentation, etc. Creating additional documentation files just adds clutter and confusion.
### Progressive Disclosure Design Principle
Skills use a three-level loading system to manage context efficiently:
1. **Metadata (name + description)** - Always in context (~100 words)
2. **SKILL.md body** - When skill triggers (<5k words)
3. **Bundled resources** - As needed by Claude (Unlimited because scripts can be executed without reading into context window)
#### Progressive Disclosure Patterns
Keep SKILL.md body to the essentials and under 500 lines to minimize context bloat. Split content into separate files when approaching this limit. When splitting out content into other files, it is very important to reference them from SKILL.md and describe clearly when to read them, to ensure the reader of the skill knows they exist and when to use them.
**Key principle:** When a skill supports multiple variations, frameworks, or options, keep only the core workflow and selection guidance in SKILL.md. Move variant-specific details (patterns, examples, configuration) into separate reference files.
**Pattern 1: High-level guide with references**
```markdown
# PDF Processing
## Quick start
Extract text with pdfplumber:
[code example]
## Advanced features
- **Form filling**: See [FORMS.md](FORMS.md) for complete guide
- **API reference**: See [REFERENCE.md](REFERENCE.md) for all methods
- **Examples**: See [EXAMPLES.md](EXAMPLES.md) for common patterns
```
Claude loads FORMS.md, REFERENCE.md, or EXAMPLES.md only when needed.
**Pattern 2: Domain-specific organization**
For Skills with multiple domains, organize content by domain to avoid loading irrelevant context:
```
bigquery-skill/
├── SKILL.md (overview and navigation)
└── reference/
├── finance.md (revenue, billing metrics)
├── sales.md (opportunities, pipeline)
├── product.md (API usage, features)
└── marketing.md (campaigns, attribution)
```
When a user asks about sales metrics, Claude only reads sales.md.
Similarly, for skills supporting multiple frameworks or variants, organize by variant:
```
cloud-deploy/
├── SKILL.md (workflow + provider selection)
└── references/
├── aws.md (AWS deployment patterns)
├── gcp.md (GCP deployment patterns)
└── azure.md (Azure deployment patterns)
```
When the user chooses AWS, Claude only reads aws.md.
**Pattern 3: Conditional details**
Show basic content, link to advanced content:
```markdown
# DOCX Processing
## Creating documents
Use docx-js for new documents. See [DOCX-JS.md](DOCX-JS.md).
## Editing documents
For simple edits, modify the XML directly.
**For tracked changes**: See [REDLINING.md](REDLINING.md)
**For OOXML details**: See [OOXML.md](OOXML.md)
```
Claude reads REDLINING.md or OOXML.md only when the user needs those features.
**Important guidelines:**
- **Avoid deeply nested references** - Keep references one level deep from SKILL.md. All reference files should link directly from SKILL.md.
- **Structure longer reference files** - For files longer than 100 lines, include a table of contents at the top so Claude can see the full scope when previewing.
## Skill Creation Process
Skill creation involves these steps:
1. Understand the skill with concrete examples
2. Plan reusable skill contents (scripts, references, assets)
3. Initialize the skill (run init_skill.py)
4. Edit the skill (implement resources and write SKILL.md)
5. Package the skill (run package_skill.py)
6. Iterate based on real usage
Follow these steps in order, skipping only if there is a clear reason why they are not applicable.
### Step 1: Understanding the Skill with Concrete Examples
Skip this step only when the skill's usage patterns are already clearly understood. It remains valuable even when working with an existing skill.
To create an effective skill, clearly understand concrete examples of how the skill will be used. This understanding can come from either direct user examples or generated examples that are validated with user feedback.
For example, when building an image-editor skill, relevant questions include:
- "What functionality should the image-editor skill support? Editing, rotating, anything else?"
- "Can you give some examples of how this skill would be used?"
- "I can imagine users asking for things like 'Remove the red-eye from this image' or 'Rotate this image'. Are there other ways you imagine this skill being used?"
- "What would a user say that should trigger this skill?"
To avoid overwhelming users, avoid asking too many questions in a single message. Start with the most important questions and follow up as needed for better effectiveness.
Conclude this step when there is a clear sense of the functionality the skill should support.
### Step 2: Planning the Reusable Skill Contents
To turn concrete examples into an effective skill, analyze each example by:
1. Considering how to execute on the example from scratch
2. Identifying what scripts, references, and assets would be helpful when executing these workflows repeatedly
Example: When building a `pdf-editor` skill to handle queries like "Help me rotate this PDF," the analysis shows:
1. Rotating a PDF requires re-writing the same code each time
2. A `scripts/rotate_pdf.py` script would be helpful to store in the skill
Example: When designing a `frontend-webapp-builder` skill for queries like "Build me a todo app" or "Build me a dashboard to track my steps," the analysis shows:
1. Writing a frontend webapp requires the same boilerplate HTML/React each time
2. An `assets/hello-world/` template containing the boilerplate HTML/React project files would be helpful to store in the skill
Example: When building a `big-query` skill to handle queries like "How many users have logged in today?" the analysis shows:
1. Querying BigQuery requires re-discovering the table schemas and relationships each time
2. A `references/schema.md` file documenting the table schemas would be helpful to store in the skill
To establish the skill's contents, analyze each concrete example to create a list of the reusable resources to include: scripts, references, and assets.
### Step 3: Initializing the Skill
At this point, it is time to actually create the skill.
Skip this step only if the skill being developed already exists, and iteration or packaging is needed. In this case, continue to the next step.
When creating a new skill from scratch, always run the `init_skill.py` script. The script conveniently generates a new template skill directory that automatically includes everything a skill requires, making the skill creation process much more efficient and reliable.
Usage:
```bash
scripts/init_skill.py <skill-name> --path <output-directory>
```
The script:
- Creates the skill directory at the specified path
- Generates a SKILL.md template with proper frontmatter and TODO placeholders
- Creates example resource directories: `scripts/`, `references/`, and `assets/`
- Adds example files in each directory that can be customized or deleted
After initialization, customize or remove the generated SKILL.md and example files as needed.
### Step 4: Edit the Skill
When editing the (newly-generated or existing) skill, remember that the skill is being created for another instance of Claude to use. Include information that would be beneficial and non-obvious to Claude. Consider what procedural knowledge, domain-specific details, or reusable assets would help another Claude instance execute these tasks more effectively.
#### Learn Proven Design Patterns
Consult these helpful guides based on your skill's needs:
- **Multi-step processes**: See references/workflows.md for sequential workflows and conditional logic
- **Specific output formats or quality standards**: See references/output-patterns.md for template and example patterns
These files contain established best practices for effective skill design.
#### Start with Reusable Skill Contents
To begin implementation, start with the reusable resources identified above: `scripts/`, `references/`, and `assets/` files. Note that this step may require user input. For example, when implementing a `brand-guidelines` skill, the user may need to provide brand assets or templates to store in `assets/`, or documentation to store in `references/`.
Added scripts must be tested by actually running them to ensure there are no bugs and that the output matches what is expected. If there are many similar scripts, only a representative sample needs to be tested to ensure confidence that they all work while balancing time to completion.
Any example files and directories not needed for the skill should be deleted. The initialization script creates example files in `scripts/`, `references/`, and `assets/` to demonstrate structure, but most skills won't need all of them.
#### Update SKILL.md
**Writing Guidelines:** Always use imperative/infinitive form.
##### Frontmatter
Write the YAML frontmatter with `name` and `description`:
- `name`: The skill name
- `description`: This is the primary triggering mechanism for your skill, and helps Claude understand when to use the skill.
- Include both what the Skill does and specific triggers/contexts for when to use it.
- Include all "when to use" information here - Not in the body. The body is only loaded after triggering, so "When to Use This Skill" sections in the body are not helpful to Claude.
- Example description for a `docx` skill: "Comprehensive document creation, editing, and analysis with support for tracked changes, comments, formatting preservation, and text extraction. Use when Claude needs to work with professional documents (.docx files) for: (1) Creating new documents, (2) Modifying or editing content, (3) Working with tracked changes, (4) Adding comments, or any other document tasks"
Do not include any other fields in YAML frontmatter.
##### Body
Write instructions for using the skill and its bundled resources.
### Step 5: Packaging a Skill
Once development of the skill is complete, it must be packaged into a distributable .skill file that gets shared with the user. The packaging process automatically validates the skill first to ensure it meets all requirements:
```bash
scripts/package_skill.py <path/to/skill-folder>
```
Optional output directory specification:
```bash
scripts/package_skill.py <path/to/skill-folder> ./dist
```
The packaging script will:
1. **Validate** the skill automatically, checking:
- YAML frontmatter format and required fields
- Skill naming conventions and directory structure
- Description completeness and quality
- File organization and resource references
2. **Package** the skill if validation passes, creating a .skill file named after the skill (e.g., `my-skill.skill`) that includes all files and maintains the proper directory structure for distribution. The .skill file is a zip file with a .skill extension.
If validation fails, the script will report the errors and exit without creating a package. Fix any validation errors and run the packaging command again.
### Step 6: Iterate
After testing the skill, users may request improvements. Often this happens right after using the skill, with fresh context of how the skill performed.
**Iteration workflow:**
1. Use the skill on real tasks
2. Notice struggles or inefficiencies
3. Identify how SKILL.md or bundled resources should be updated
4. Implement changes and test again

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# Output Patterns
Use these patterns when skills need to produce consistent, high-quality output.
## Template Pattern
Provide templates for output format. Match the level of strictness to your needs.
**For strict requirements (like API responses or data formats):**
```markdown
## Report structure
ALWAYS use this exact template structure:
# [Analysis Title]
## Executive summary
[One-paragraph overview of key findings]
## Key findings
- Finding 1 with supporting data
- Finding 2 with supporting data
- Finding 3 with supporting data
## Recommendations
1. Specific actionable recommendation
2. Specific actionable recommendation
```
**For flexible guidance (when adaptation is useful):**
```markdown
## Report structure
Here is a sensible default format, but use your best judgment:
# [Analysis Title]
## Executive summary
[Overview]
## Key findings
[Adapt sections based on what you discover]
## Recommendations
[Tailor to the specific context]
Adjust sections as needed for the specific analysis type.
```
## Examples Pattern
For skills where output quality depends on seeing examples, provide input/output pairs:
```markdown
## Commit message format
Generate commit messages following these examples:
**Example 1:**
Input: Added user authentication with JWT tokens
Output:
```
feat(auth): implement JWT-based authentication
Add login endpoint and token validation middleware
```
**Example 2:**
Input: Fixed bug where dates displayed incorrectly in reports
Output:
```
fix(reports): correct date formatting in timezone conversion
Use UTC timestamps consistently across report generation
```
Follow this style: type(scope): brief description, then detailed explanation.
```
Examples help Claude understand the desired style and level of detail more clearly than descriptions alone.

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# Workflow Patterns
## Sequential Workflows
For complex tasks, break operations into clear, sequential steps. It is often helpful to give Claude an overview of the process towards the beginning of SKILL.md:
```markdown
Filling a PDF form involves these steps:
1. Analyze the form (run analyze_form.py)
2. Create field mapping (edit fields.json)
3. Validate mapping (run validate_fields.py)
4. Fill the form (run fill_form.py)
5. Verify output (run verify_output.py)
```
## Conditional Workflows
For tasks with branching logic, guide Claude through decision points:
```markdown
1. Determine the modification type:
**Creating new content?** → Follow "Creation workflow" below
**Editing existing content?** → Follow "Editing workflow" below
2. Creation workflow: [steps]
3. Editing workflow: [steps]
```

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#!/usr/bin/env python3
"""
Skill Initializer - Creates a new skill from template
Usage:
init_skill.py <skill-name> --path <path>
Examples:
init_skill.py my-new-skill --path skills/public
init_skill.py my-api-helper --path skills/private
init_skill.py custom-skill --path /custom/location
"""
import sys
from pathlib import Path
SKILL_TEMPLATE = """---
name: {skill_name}
description: [TODO: Complete and informative explanation of what the skill does and when to use it. Include WHEN to use this skill - specific scenarios, file types, or tasks that trigger it.]
---
# {skill_title}
## Overview
[TODO: 1-2 sentences explaining what this skill enables]
## Structuring This Skill
[TODO: Choose the structure that best fits this skill's purpose. Common patterns:
**1. Workflow-Based** (best for sequential processes)
- Works well when there are clear step-by-step procedures
- Example: DOCX skill with "Workflow Decision Tree" "Reading" "Creating" "Editing"
- Structure: ## Overview → ## Workflow Decision Tree → ## Step 1 → ## Step 2...
**2. Task-Based** (best for tool collections)
- Works well when the skill offers different operations/capabilities
- Example: PDF skill with "Quick Start" "Merge PDFs" "Split PDFs" "Extract Text"
- Structure: ## Overview → ## Quick Start → ## Task Category 1 → ## Task Category 2...
**3. Reference/Guidelines** (best for standards or specifications)
- Works well for brand guidelines, coding standards, or requirements
- Example: Brand styling with "Brand Guidelines" "Colors" "Typography" "Features"
- Structure: ## Overview → ## Guidelines → ## Specifications → ## Usage...
**4. Capabilities-Based** (best for integrated systems)
- Works well when the skill provides multiple interrelated features
- Example: Product Management with "Core Capabilities" numbered capability list
- Structure: ## Overview → ## Core Capabilities → ### 1. Feature → ### 2. Feature...
Patterns can be mixed and matched as needed. Most skills combine patterns (e.g., start with task-based, add workflow for complex operations).
Delete this entire "Structuring This Skill" section when done - it's just guidance.]
## [TODO: Replace with the first main section based on chosen structure]
[TODO: Add content here. See examples in existing skills:
- Code samples for technical skills
- Decision trees for complex workflows
- Concrete examples with realistic user requests
- References to scripts/templates/references as needed]
## Resources
This skill includes example resource directories that demonstrate how to organize different types of bundled resources:
### scripts/
Executable code (Python/Bash/etc.) that can be run directly to perform specific operations.
**Examples from other skills:**
- PDF skill: `fill_fillable_fields.py`, `extract_form_field_info.py` - utilities for PDF manipulation
- DOCX skill: `document.py`, `utilities.py` - Python modules for document processing
**Appropriate for:** Python scripts, shell scripts, or any executable code that performs automation, data processing, or specific operations.
**Note:** Scripts may be executed without loading into context, but can still be read by Claude for patching or environment adjustments.
### references/
Documentation and reference material intended to be loaded into context to inform Claude's process and thinking.
**Examples from other skills:**
- Product management: `communication.md`, `context_building.md` - detailed workflow guides
- BigQuery: API reference documentation and query examples
- Finance: Schema documentation, company policies
**Appropriate for:** In-depth documentation, API references, database schemas, comprehensive guides, or any detailed information that Claude should reference while working.
### assets/
Files not intended to be loaded into context, but rather used within the output Claude produces.
**Examples from other skills:**
- Brand styling: PowerPoint template files (.pptx), logo files
- Frontend builder: HTML/React boilerplate project directories
- Typography: Font files (.ttf, .woff2)
**Appropriate for:** Templates, boilerplate code, document templates, images, icons, fonts, or any files meant to be copied or used in the final output.
---
**Any unneeded directories can be deleted.** Not every skill requires all three types of resources.
"""
EXAMPLE_SCRIPT = '''#!/usr/bin/env python3
"""
Example helper script for {skill_name}
This is a placeholder script that can be executed directly.
Replace with actual implementation or delete if not needed.
Example real scripts from other skills:
- pdf/scripts/fill_fillable_fields.py - Fills PDF form fields
- pdf/scripts/convert_pdf_to_images.py - Converts PDF pages to images
"""
def main():
print("This is an example script for {skill_name}")
# TODO: Add actual script logic here
# This could be data processing, file conversion, API calls, etc.
if __name__ == "__main__":
main()
'''
EXAMPLE_REFERENCE = """# Reference Documentation for {skill_title}
This is a placeholder for detailed reference documentation.
Replace with actual reference content or delete if not needed.
Example real reference docs from other skills:
- product-management/references/communication.md - Comprehensive guide for status updates
- product-management/references/context_building.md - Deep-dive on gathering context
- bigquery/references/ - API references and query examples
## When Reference Docs Are Useful
Reference docs are ideal for:
- Comprehensive API documentation
- Detailed workflow guides
- Complex multi-step processes
- Information too lengthy for main SKILL.md
- Content that's only needed for specific use cases
## Structure Suggestions
### API Reference Example
- Overview
- Authentication
- Endpoints with examples
- Error codes
- Rate limits
### Workflow Guide Example
- Prerequisites
- Step-by-step instructions
- Common patterns
- Troubleshooting
- Best practices
"""
EXAMPLE_ASSET = """# Example Asset File
This placeholder represents where asset files would be stored.
Replace with actual asset files (templates, images, fonts, etc.) or delete if not needed.
Asset files are NOT intended to be loaded into context, but rather used within
the output Claude produces.
Example asset files from other skills:
- Brand guidelines: logo.png, slides_template.pptx
- Frontend builder: hello-world/ directory with HTML/React boilerplate
- Typography: custom-font.ttf, font-family.woff2
- Data: sample_data.csv, test_dataset.json
## Common Asset Types
- Templates: .pptx, .docx, boilerplate directories
- Images: .png, .jpg, .svg, .gif
- Fonts: .ttf, .otf, .woff, .woff2
- Boilerplate code: Project directories, starter files
- Icons: .ico, .svg
- Data files: .csv, .json, .xml, .yaml
Note: This is a text placeholder. Actual assets can be any file type.
"""
def title_case_skill_name(skill_name):
"""Convert hyphenated skill name to Title Case for display."""
return " ".join(word.capitalize() for word in skill_name.split("-"))
def init_skill(skill_name, path):
"""
Initialize a new skill directory with template SKILL.md.
Args:
skill_name: Name of the skill
path: Path where the skill directory should be created
Returns:
Path to created skill directory, or None if error
"""
# Determine skill directory path
skill_dir = Path(path).resolve() / skill_name
# Check if directory already exists
if skill_dir.exists():
print(f"❌ Error: Skill directory already exists: {skill_dir}")
return None
# Create skill directory
try:
skill_dir.mkdir(parents=True, exist_ok=False)
print(f"✅ Created skill directory: {skill_dir}")
except Exception as e:
print(f"❌ Error creating directory: {e}")
return None
# Create SKILL.md from template
skill_title = title_case_skill_name(skill_name)
skill_content = SKILL_TEMPLATE.format(skill_name=skill_name, skill_title=skill_title)
skill_md_path = skill_dir / "SKILL.md"
try:
skill_md_path.write_text(skill_content)
print("✅ Created SKILL.md")
except Exception as e:
print(f"❌ Error creating SKILL.md: {e}")
return None
# Create resource directories with example files
try:
# Create scripts/ directory with example script
scripts_dir = skill_dir / "scripts"
scripts_dir.mkdir(exist_ok=True)
example_script = scripts_dir / "example.py"
example_script.write_text(EXAMPLE_SCRIPT.format(skill_name=skill_name))
example_script.chmod(0o755)
print("✅ Created scripts/example.py")
# Create references/ directory with example reference doc
references_dir = skill_dir / "references"
references_dir.mkdir(exist_ok=True)
example_reference = references_dir / "api_reference.md"
example_reference.write_text(EXAMPLE_REFERENCE.format(skill_title=skill_title))
print("✅ Created references/api_reference.md")
# Create assets/ directory with example asset placeholder
assets_dir = skill_dir / "assets"
assets_dir.mkdir(exist_ok=True)
example_asset = assets_dir / "example_asset.txt"
example_asset.write_text(EXAMPLE_ASSET)
print("✅ Created assets/example_asset.txt")
except Exception as e:
print(f"❌ Error creating resource directories: {e}")
return None
# Print next steps
print(f"\n✅ Skill '{skill_name}' initialized successfully at {skill_dir}")
print("\nNext steps:")
print("1. Edit SKILL.md to complete the TODO items and update the description")
print("2. Customize or delete the example files in scripts/, references/, and assets/")
print("3. Run the validator when ready to check the skill structure")
return skill_dir
def main():
if len(sys.argv) < 4 or sys.argv[2] != "--path":
print("Usage: init_skill.py <skill-name> --path <path>")
print("\nSkill name requirements:")
print(" - Hyphen-case identifier (e.g., 'data-analyzer')")
print(" - Lowercase letters, digits, and hyphens only")
print(" - Max 40 characters")
print(" - Must match directory name exactly")
print("\nExamples:")
print(" init_skill.py my-new-skill --path skills/public")
print(" init_skill.py my-api-helper --path skills/private")
print(" init_skill.py custom-skill --path /custom/location")
sys.exit(1)
skill_name = sys.argv[1]
path = sys.argv[3]
print(f"🚀 Initializing skill: {skill_name}")
print(f" Location: {path}")
print()
result = init_skill(skill_name, path)
if result:
sys.exit(0)
else:
sys.exit(1)
if __name__ == "__main__":
main()

View File

@ -0,0 +1,110 @@
#!/usr/bin/env python3
"""
Skill Packager - Creates a distributable .skill file of a skill folder
Usage:
python utils/package_skill.py <path/to/skill-folder> [output-directory]
Example:
python utils/package_skill.py skills/public/my-skill
python utils/package_skill.py skills/public/my-skill ./dist
"""
import sys
import zipfile
from pathlib import Path
from quick_validate import validate_skill
def package_skill(skill_path, output_dir=None):
"""
Package a skill folder into a .skill file.
Args:
skill_path: Path to the skill folder
output_dir: Optional output directory for the .skill file (defaults to current directory)
Returns:
Path to the created .skill file, or None if error
"""
skill_path = Path(skill_path).resolve()
# Validate skill folder exists
if not skill_path.exists():
print(f"❌ Error: Skill folder not found: {skill_path}")
return None
if not skill_path.is_dir():
print(f"❌ Error: Path is not a directory: {skill_path}")
return None
# Validate SKILL.md exists
skill_md = skill_path / "SKILL.md"
if not skill_md.exists():
print(f"❌ Error: SKILL.md not found in {skill_path}")
return None
# Run validation before packaging
print("🔍 Validating skill...")
valid, message = validate_skill(skill_path)
if not valid:
print(f"❌ Validation failed: {message}")
print(" Please fix the validation errors before packaging.")
return None
print(f"{message}\n")
# Determine output location
skill_name = skill_path.name
if output_dir:
output_path = Path(output_dir).resolve()
output_path.mkdir(parents=True, exist_ok=True)
else:
output_path = Path.cwd()
skill_filename = output_path / f"{skill_name}.skill"
# Create the .skill file (zip format)
try:
with zipfile.ZipFile(skill_filename, "w", zipfile.ZIP_DEFLATED) as zipf:
# Walk through the skill directory
for file_path in skill_path.rglob("*"):
if file_path.is_file():
# Calculate the relative path within the zip
arcname = file_path.relative_to(skill_path.parent)
zipf.write(file_path, arcname)
print(f" Added: {arcname}")
print(f"\n✅ Successfully packaged skill to: {skill_filename}")
return skill_filename
except Exception as e:
print(f"❌ Error creating .skill file: {e}")
return None
def main():
if len(sys.argv) < 2:
print("Usage: python utils/package_skill.py <path/to/skill-folder> [output-directory]")
print("\nExample:")
print(" python utils/package_skill.py skills/public/my-skill")
print(" python utils/package_skill.py skills/public/my-skill ./dist")
sys.exit(1)
skill_path = sys.argv[1]
output_dir = sys.argv[2] if len(sys.argv) > 2 else None
print(f"📦 Packaging skill: {skill_path}")
if output_dir:
print(f" Output directory: {output_dir}")
print()
result = package_skill(skill_path, output_dir)
if result:
sys.exit(0)
else:
sys.exit(1)
if __name__ == "__main__":
main()

View File

@ -0,0 +1,97 @@
#!/usr/bin/env python3
"""
Quick validation script for skills - minimal version
"""
import sys
import os
import re
import yaml
from pathlib import Path
def validate_skill(skill_path):
"""Basic validation of a skill"""
skill_path = Path(skill_path)
# Check SKILL.md exists
skill_md = skill_path / "SKILL.md"
if not skill_md.exists():
return False, "SKILL.md not found"
# Read and validate frontmatter
content = skill_md.read_text()
if not content.startswith("---"):
return False, "No YAML frontmatter found"
# Extract frontmatter
match = re.match(r"^---\n(.*?)\n---", content, re.DOTALL)
if not match:
return False, "Invalid frontmatter format"
frontmatter_text = match.group(1)
# Parse YAML frontmatter
try:
frontmatter = yaml.safe_load(frontmatter_text)
if not isinstance(frontmatter, dict):
return False, "Frontmatter must be a YAML dictionary"
except yaml.YAMLError as e:
return False, f"Invalid YAML in frontmatter: {e}"
# Define allowed properties
ALLOWED_PROPERTIES = {"name", "description", "license", "allowed-tools", "metadata"}
# Check for unexpected properties (excluding nested keys under metadata)
unexpected_keys = set(frontmatter.keys()) - ALLOWED_PROPERTIES
if unexpected_keys:
return False, (
f"Unexpected key(s) in SKILL.md frontmatter: {', '.join(sorted(unexpected_keys))}. "
f"Allowed properties are: {', '.join(sorted(ALLOWED_PROPERTIES))}"
)
# Check required fields
if "name" not in frontmatter:
return False, "Missing 'name' in frontmatter"
if "description" not in frontmatter:
return False, "Missing 'description' in frontmatter"
# Extract name for validation
name = frontmatter.get("name", "")
if not isinstance(name, str):
return False, f"Name must be a string, got {type(name).__name__}"
name = name.strip()
if name:
# Check naming convention (hyphen-case: lowercase with hyphens)
if not re.match(r"^[a-z0-9-]+$", name):
return False, f"Name '{name}' should be hyphen-case (lowercase letters, digits, and hyphens only)"
if name.startswith("-") or name.endswith("-") or "--" in name:
return False, f"Name '{name}' cannot start/end with hyphen or contain consecutive hyphens"
# Check name length (max 64 characters per spec)
if len(name) > 64:
return False, f"Name is too long ({len(name)} characters). Maximum is 64 characters."
# Extract and validate description
description = frontmatter.get("description", "")
if not isinstance(description, str):
return False, f"Description must be a string, got {type(description).__name__}"
description = description.strip()
if description:
# Check for angle brackets
if "<" in description or ">" in description:
return False, "Description cannot contain angle brackets (< or >)"
# Check description length (max 1024 characters per spec)
if len(description) > 1024:
return False, f"Description is too long ({len(description)} characters). Maximum is 1024 characters."
return True, "Skill is valid!"
if __name__ == "__main__":
if len(sys.argv) != 2:
print("Usage: python quick_validate.py <skill_directory>")
sys.exit(1)
valid, message = validate_skill(sys.argv[1])
print(message)
sys.exit(0 if valid else 1)

View File

@ -20,4 +20,4 @@
- [x] I understand that this PR may be closed in case there was no previous discussion or issues. (This doesn't apply to typos!)
- [x] I've added a test for each change that was introduced, and I tried as much as possible to make a single atomic change.
- [x] I've updated the documentation accordingly.
- [x] I ran `dev/reformat`(backend) and `cd web && npx lint-staged`(frontend) to appease the lint gods
- [x] I ran `make lint` and `make type-check` (backend) and `cd web && npx lint-staged` (frontend) to appease the lint gods

View File

@ -110,6 +110,16 @@ jobs:
working-directory: ./web
run: pnpm run type-check:tsgo
- name: Web dead code check
if: steps.changed-files.outputs.any_changed == 'true'
working-directory: ./web
run: pnpm run knip
- name: Web build check
if: steps.changed-files.outputs.any_changed == 'true'
working-directory: ./web
run: pnpm run build
superlinter:
name: SuperLinter
runs-on: ubuntu-latest

View File

@ -5,6 +5,7 @@ on:
branches: [main]
paths:
- 'web/i18n/en-US/*.json'
workflow_dispatch:
permissions:
contents: write
@ -18,7 +19,8 @@ jobs:
run:
working-directory: web
steps:
- uses: actions/checkout@v6
# Keep use old checkout action version for https://github.com/peter-evans/create-pull-request/issues/4272
- uses: actions/checkout@v4
with:
fetch-depth: 0
token: ${{ secrets.GITHUB_TOKEN }}
@ -26,21 +28,28 @@ jobs:
- name: Check for file changes in i18n/en-US
id: check_files
run: |
git fetch origin "${{ github.event.before }}" || true
git fetch origin "${{ github.sha }}" || true
changed_files=$(git diff --name-only "${{ github.event.before }}" "${{ github.sha }}" -- 'i18n/en-US/*.json')
echo "Changed files: $changed_files"
if [ -n "$changed_files" ]; then
# Skip check for manual trigger, translate all files
if [ "${{ github.event_name }}" == "workflow_dispatch" ]; then
echo "FILES_CHANGED=true" >> $GITHUB_ENV
file_args=""
for file in $changed_files; do
filename=$(basename "$file" .json)
file_args="$file_args --file $filename"
done
echo "FILE_ARGS=$file_args" >> $GITHUB_ENV
echo "File arguments: $file_args"
echo "FILE_ARGS=" >> $GITHUB_ENV
echo "Manual trigger: translating all files"
else
echo "FILES_CHANGED=false" >> $GITHUB_ENV
git fetch origin "${{ github.event.before }}" || true
git fetch origin "${{ github.sha }}" || true
changed_files=$(git diff --name-only "${{ github.event.before }}" "${{ github.sha }}" -- 'i18n/en-US/*.json')
echo "Changed files: $changed_files"
if [ -n "$changed_files" ]; then
echo "FILES_CHANGED=true" >> $GITHUB_ENV
file_args=""
for file in $changed_files; do
filename=$(basename "$file" .json)
file_args="$file_args --file $filename"
done
echo "FILE_ARGS=$file_args" >> $GITHUB_ENV
echo "File arguments: $file_args"
else
echo "FILES_CHANGED=false" >> $GITHUB_ENV
fi
fi
- name: Install pnpm

1
.gitignore vendored
View File

@ -235,3 +235,4 @@ scripts/stress-test/reports/
# settings
*.local.json
*.local.md

View File

@ -60,9 +60,10 @@ check:
@echo "✅ Code check complete"
lint:
@echo "🔧 Running ruff format, check with fixes, and import linter..."
@echo "🔧 Running ruff format, check with fixes, import linter, and dotenv-linter..."
@uv run --project api --dev sh -c 'ruff format ./api && ruff check --fix ./api'
@uv run --directory api --dev lint-imports
@uv run --project api --dev dotenv-linter ./api/.env.example ./web/.env.example
@echo "✅ Linting complete"
type-check:
@ -122,7 +123,7 @@ help:
@echo "Backend Code Quality:"
@echo " make format - Format code with ruff"
@echo " make check - Check code with ruff"
@echo " make lint - Format and fix code with ruff"
@echo " make lint - Format, fix, and lint code (ruff, imports, dotenv)"
@echo " make type-check - Run type checking with basedpyright"
@echo " make test - Run backend unit tests"
@echo ""

View File

@ -101,6 +101,15 @@ S3_ACCESS_KEY=your-access-key
S3_SECRET_KEY=your-secret-key
S3_REGION=your-region
# Workflow run and Conversation archive storage (S3-compatible)
ARCHIVE_STORAGE_ENABLED=false
ARCHIVE_STORAGE_ENDPOINT=
ARCHIVE_STORAGE_ARCHIVE_BUCKET=
ARCHIVE_STORAGE_EXPORT_BUCKET=
ARCHIVE_STORAGE_ACCESS_KEY=
ARCHIVE_STORAGE_SECRET_KEY=
ARCHIVE_STORAGE_REGION=auto
# Azure Blob Storage configuration
AZURE_BLOB_ACCOUNT_NAME=your-account-name
AZURE_BLOB_ACCOUNT_KEY=your-account-key
@ -493,6 +502,8 @@ LOG_FILE_BACKUP_COUNT=5
LOG_DATEFORMAT=%Y-%m-%d %H:%M:%S
# Log Timezone
LOG_TZ=UTC
# Log output format: text or json
LOG_OUTPUT_FORMAT=text
# Log format
LOG_FORMAT=%(asctime)s,%(msecs)d %(levelname)-2s [%(filename)s:%(lineno)d] %(req_id)s %(message)s
@ -564,6 +575,10 @@ LOGSTORE_DUAL_WRITE_ENABLED=false
# Enable dual-read fallback to SQL database when LogStore returns no results (default: true)
# Useful for migration scenarios where historical data exists only in SQL database
LOGSTORE_DUAL_READ_ENABLED=true
# Control flag for whether to write the `graph` field to LogStore.
# If LOGSTORE_ENABLE_PUT_GRAPH_FIELD is "true", write the full `graph` field;
# otherwise write an empty {} instead. Defaults to writing the `graph` field.
LOGSTORE_ENABLE_PUT_GRAPH_FIELD=true
# Celery beat configuration
CELERY_BEAT_SCHEDULER_TIME=1

View File

@ -3,9 +3,11 @@ root_packages =
core
configs
controllers
extensions
models
tasks
services
include_external_packages = True
[importlinter:contract:workflow]
name = Workflow
@ -33,6 +35,28 @@ ignore_imports =
core.workflow.nodes.loop.loop_node -> core.workflow.graph
core.workflow.nodes.loop.loop_node -> core.workflow.graph_engine.command_channels
[importlinter:contract:workflow-infrastructure-dependencies]
name = Workflow Infrastructure Dependencies
type = forbidden
source_modules =
core.workflow
forbidden_modules =
extensions.ext_database
extensions.ext_redis
allow_indirect_imports = True
ignore_imports =
core.workflow.nodes.agent.agent_node -> extensions.ext_database
core.workflow.nodes.datasource.datasource_node -> extensions.ext_database
core.workflow.nodes.knowledge_index.knowledge_index_node -> extensions.ext_database
core.workflow.nodes.knowledge_retrieval.knowledge_retrieval_node -> extensions.ext_database
core.workflow.nodes.llm.file_saver -> extensions.ext_database
core.workflow.nodes.llm.llm_utils -> extensions.ext_database
core.workflow.nodes.llm.node -> extensions.ext_database
core.workflow.nodes.tool.tool_node -> extensions.ext_database
core.workflow.graph_engine.command_channels.redis_channel -> extensions.ext_redis
core.workflow.graph_engine.manager -> extensions.ext_redis
core.workflow.nodes.knowledge_retrieval.knowledge_retrieval_node -> extensions.ext_redis
[importlinter:contract:rsc]
name = RSC
type = layers

View File

@ -1,4 +1,8 @@
exclude = ["migrations/*"]
exclude = [
"migrations/*",
".git",
".git/**",
]
line-length = 120
[format]

View File

@ -50,16 +50,33 @@ WORKDIR /app/api
# Create non-root user
ARG dify_uid=1001
ARG NODE_MAJOR=22
ARG NODE_PACKAGE_VERSION=22.21.0-1nodesource1
ARG NODESOURCE_KEY_FPR=6F71F525282841EEDAF851B42F59B5F99B1BE0B4
RUN groupadd -r -g ${dify_uid} dify && \
useradd -r -u ${dify_uid} -g ${dify_uid} -s /bin/bash dify && \
chown -R dify:dify /app
RUN \
apt-get update \
&& apt-get install -y --no-install-recommends \
ca-certificates \
curl \
gnupg \
&& mkdir -p /etc/apt/keyrings \
&& curl -fsSL https://deb.nodesource.com/gpgkey/nodesource-repo.gpg.key -o /tmp/nodesource.gpg \
&& gpg --show-keys --with-colons /tmp/nodesource.gpg \
| awk -F: '/^fpr:/ {print $10}' \
| grep -Fx "${NODESOURCE_KEY_FPR}" \
&& gpg --dearmor -o /etc/apt/keyrings/nodesource.gpg /tmp/nodesource.gpg \
&& rm -f /tmp/nodesource.gpg \
&& echo "deb [signed-by=/etc/apt/keyrings/nodesource.gpg] https://deb.nodesource.com/node_${NODE_MAJOR}.x nodistro main" \
> /etc/apt/sources.list.d/nodesource.list \
&& apt-get update \
# Install dependencies
&& apt-get install -y --no-install-recommends \
# basic environment
curl nodejs \
nodejs=${NODE_PACKAGE_VERSION} \
# for gmpy2 \
libgmp-dev libmpfr-dev libmpc-dev \
# For Security
@ -79,7 +96,8 @@ COPY --from=packages --chown=dify:dify ${VIRTUAL_ENV} ${VIRTUAL_ENV}
ENV PATH="${VIRTUAL_ENV}/bin:${PATH}"
# Download nltk data
RUN mkdir -p /usr/local/share/nltk_data && NLTK_DATA=/usr/local/share/nltk_data python -c "import nltk; nltk.download('punkt'); nltk.download('averaged_perceptron_tagger'); nltk.download('stopwords')" \
RUN mkdir -p /usr/local/share/nltk_data \
&& NLTK_DATA=/usr/local/share/nltk_data python -c "import nltk; from unstructured.nlp.tokenize import download_nltk_packages; nltk.download('punkt'); nltk.download('averaged_perceptron_tagger'); nltk.download('stopwords'); download_nltk_packages()" \
&& chmod -R 755 /usr/local/share/nltk_data
ENV TIKTOKEN_CACHE_DIR=/app/api/.tiktoken_cache

View File

@ -2,9 +2,11 @@ import logging
import time
from opentelemetry.trace import get_current_span
from opentelemetry.trace.span import INVALID_SPAN_ID, INVALID_TRACE_ID
from configs import dify_config
from contexts.wrapper import RecyclableContextVar
from core.logging.context import init_request_context
from dify_app import DifyApp
logger = logging.getLogger(__name__)
@ -25,28 +27,35 @@ def create_flask_app_with_configs() -> DifyApp:
# add before request hook
@dify_app.before_request
def before_request():
# add an unique identifier to each request
# Initialize logging context for this request
init_request_context()
RecyclableContextVar.increment_thread_recycles()
# add after request hook for injecting X-Trace-Id header from OpenTelemetry span context
# add after request hook for injecting trace headers from OpenTelemetry span context
# Only adds headers when OTEL is enabled and has valid context
@dify_app.after_request
def add_trace_id_header(response):
def add_trace_headers(response):
try:
span = get_current_span()
ctx = span.get_span_context() if span else None
if ctx and ctx.is_valid:
trace_id_hex = format(ctx.trace_id, "032x")
# Avoid duplicates if some middleware added it
if "X-Trace-Id" not in response.headers:
response.headers["X-Trace-Id"] = trace_id_hex
if not ctx or not ctx.is_valid:
return response
# Inject trace headers from OTEL context
if ctx.trace_id != INVALID_TRACE_ID and "X-Trace-Id" not in response.headers:
response.headers["X-Trace-Id"] = format(ctx.trace_id, "032x")
if ctx.span_id != INVALID_SPAN_ID and "X-Span-Id" not in response.headers:
response.headers["X-Span-Id"] = format(ctx.span_id, "016x")
except Exception:
# Never break the response due to tracing header injection
logger.warning("Failed to add trace ID to response header", exc_info=True)
logger.warning("Failed to add trace headers to response", exc_info=True)
return response
# Capture the decorator's return value to avoid pyright reportUnusedFunction
_ = before_request
_ = add_trace_id_header
_ = add_trace_headers
return dify_app

View File

@ -235,7 +235,7 @@ def migrate_annotation_vector_database():
if annotations:
for annotation in annotations:
document = Document(
page_content=annotation.question,
page_content=annotation.question_text,
metadata={"annotation_id": annotation.id, "app_id": app.id, "doc_id": annotation.id},
)
documents.append(document)
@ -1184,6 +1184,217 @@ def remove_orphaned_files_on_storage(force: bool):
click.echo(click.style(f"Removed {removed_files} orphaned files, with {error_files} errors.", fg="yellow"))
@click.command("file-usage", help="Query file usages and show where files are referenced.")
@click.option("--file-id", type=str, default=None, help="Filter by file UUID.")
@click.option("--key", type=str, default=None, help="Filter by storage key.")
@click.option("--src", type=str, default=None, help="Filter by table.column pattern (e.g., 'documents.%' or '%.icon').")
@click.option("--limit", type=int, default=100, help="Limit number of results (default: 100).")
@click.option("--offset", type=int, default=0, help="Offset for pagination (default: 0).")
@click.option("--json", "output_json", is_flag=True, help="Output results in JSON format.")
def file_usage(
file_id: str | None,
key: str | None,
src: str | None,
limit: int,
offset: int,
output_json: bool,
):
"""
Query file usages and show where files are referenced in the database.
This command reuses the same reference checking logic as clear-orphaned-file-records
and displays detailed information about where each file is referenced.
"""
# define tables and columns to process
files_tables = [
{"table": "upload_files", "id_column": "id", "key_column": "key"},
{"table": "tool_files", "id_column": "id", "key_column": "file_key"},
]
ids_tables = [
{"type": "uuid", "table": "message_files", "column": "upload_file_id", "pk_column": "id"},
{"type": "text", "table": "documents", "column": "data_source_info", "pk_column": "id"},
{"type": "text", "table": "document_segments", "column": "content", "pk_column": "id"},
{"type": "text", "table": "messages", "column": "answer", "pk_column": "id"},
{"type": "text", "table": "workflow_node_executions", "column": "inputs", "pk_column": "id"},
{"type": "text", "table": "workflow_node_executions", "column": "process_data", "pk_column": "id"},
{"type": "text", "table": "workflow_node_executions", "column": "outputs", "pk_column": "id"},
{"type": "text", "table": "conversations", "column": "introduction", "pk_column": "id"},
{"type": "text", "table": "conversations", "column": "system_instruction", "pk_column": "id"},
{"type": "text", "table": "accounts", "column": "avatar", "pk_column": "id"},
{"type": "text", "table": "apps", "column": "icon", "pk_column": "id"},
{"type": "text", "table": "sites", "column": "icon", "pk_column": "id"},
{"type": "json", "table": "messages", "column": "inputs", "pk_column": "id"},
{"type": "json", "table": "messages", "column": "message", "pk_column": "id"},
]
# Stream file usages with pagination to avoid holding all results in memory
paginated_usages = []
total_count = 0
# First, build a mapping of file_id -> storage_key from the base tables
file_key_map = {}
for files_table in files_tables:
query = f"SELECT {files_table['id_column']}, {files_table['key_column']} FROM {files_table['table']}"
with db.engine.begin() as conn:
rs = conn.execute(sa.text(query))
for row in rs:
file_key_map[str(row[0])] = f"{files_table['table']}:{row[1]}"
# If filtering by key or file_id, verify it exists
if file_id and file_id not in file_key_map:
if output_json:
click.echo(json.dumps({"error": f"File ID {file_id} not found in base tables"}))
else:
click.echo(click.style(f"File ID {file_id} not found in base tables.", fg="red"))
return
if key:
valid_prefixes = {f"upload_files:{key}", f"tool_files:{key}"}
matching_file_ids = [fid for fid, fkey in file_key_map.items() if fkey in valid_prefixes]
if not matching_file_ids:
if output_json:
click.echo(json.dumps({"error": f"Key {key} not found in base tables"}))
else:
click.echo(click.style(f"Key {key} not found in base tables.", fg="red"))
return
guid_regexp = "[0-9a-fA-F]{8}-[0-9a-fA-F]{4}-[0-9a-fA-F]{4}-[0-9a-fA-F]{4}-[0-9a-fA-F]{12}"
# For each reference table/column, find matching file IDs and record the references
for ids_table in ids_tables:
src_filter = f"{ids_table['table']}.{ids_table['column']}"
# Skip if src filter doesn't match (use fnmatch for wildcard patterns)
if src:
if "%" in src or "_" in src:
import fnmatch
# Convert SQL LIKE wildcards to fnmatch wildcards (% -> *, _ -> ?)
pattern = src.replace("%", "*").replace("_", "?")
if not fnmatch.fnmatch(src_filter, pattern):
continue
else:
if src_filter != src:
continue
if ids_table["type"] == "uuid":
# Direct UUID match
query = (
f"SELECT {ids_table['pk_column']}, {ids_table['column']} "
f"FROM {ids_table['table']} WHERE {ids_table['column']} IS NOT NULL"
)
with db.engine.begin() as conn:
rs = conn.execute(sa.text(query))
for row in rs:
record_id = str(row[0])
ref_file_id = str(row[1])
if ref_file_id not in file_key_map:
continue
storage_key = file_key_map[ref_file_id]
# Apply filters
if file_id and ref_file_id != file_id:
continue
if key and not storage_key.endswith(key):
continue
# Only collect items within the requested page range
if offset <= total_count < offset + limit:
paginated_usages.append(
{
"src": f"{ids_table['table']}.{ids_table['column']}",
"record_id": record_id,
"file_id": ref_file_id,
"key": storage_key,
}
)
total_count += 1
elif ids_table["type"] in ("text", "json"):
# Extract UUIDs from text/json content
column_cast = f"{ids_table['column']}::text" if ids_table["type"] == "json" else ids_table["column"]
query = (
f"SELECT {ids_table['pk_column']}, {column_cast} "
f"FROM {ids_table['table']} WHERE {ids_table['column']} IS NOT NULL"
)
with db.engine.begin() as conn:
rs = conn.execute(sa.text(query))
for row in rs:
record_id = str(row[0])
content = str(row[1])
# Find all UUIDs in the content
import re
uuid_pattern = re.compile(guid_regexp, re.IGNORECASE)
matches = uuid_pattern.findall(content)
for ref_file_id in matches:
if ref_file_id not in file_key_map:
continue
storage_key = file_key_map[ref_file_id]
# Apply filters
if file_id and ref_file_id != file_id:
continue
if key and not storage_key.endswith(key):
continue
# Only collect items within the requested page range
if offset <= total_count < offset + limit:
paginated_usages.append(
{
"src": f"{ids_table['table']}.{ids_table['column']}",
"record_id": record_id,
"file_id": ref_file_id,
"key": storage_key,
}
)
total_count += 1
# Output results
if output_json:
result = {
"total": total_count,
"offset": offset,
"limit": limit,
"usages": paginated_usages,
}
click.echo(json.dumps(result, indent=2))
else:
click.echo(
click.style(f"Found {total_count} file usages (showing {len(paginated_usages)} results)", fg="white")
)
click.echo("")
if not paginated_usages:
click.echo(click.style("No file usages found matching the specified criteria.", fg="yellow"))
return
# Print table header
click.echo(
click.style(
f"{'Src (Table.Column)':<50} {'Record ID':<40} {'File ID':<40} {'Storage Key':<60}",
fg="cyan",
)
)
click.echo(click.style("-" * 190, fg="white"))
# Print each usage
for usage in paginated_usages:
click.echo(f"{usage['src']:<50} {usage['record_id']:<40} {usage['file_id']:<40} {usage['key']:<60}")
# Show pagination info
if offset + limit < total_count:
click.echo("")
click.echo(
click.style(
f"Showing {offset + 1}-{offset + len(paginated_usages)} of {total_count} results", fg="white"
)
)
click.echo(click.style(f"Use --offset {offset + limit} to see next page", fg="white"))
@click.command("setup-system-tool-oauth-client", help="Setup system tool oauth client.")
@click.option("--provider", prompt=True, help="Provider name")
@click.option("--client-params", prompt=True, help="Client Params")

View File

@ -1,9 +1,11 @@
from configs.extra.archive_config import ArchiveStorageConfig
from configs.extra.notion_config import NotionConfig
from configs.extra.sentry_config import SentryConfig
class ExtraServiceConfig(
# place the configs in alphabet order
ArchiveStorageConfig,
NotionConfig,
SentryConfig,
):

View File

@ -0,0 +1,43 @@
from pydantic import Field
from pydantic_settings import BaseSettings
class ArchiveStorageConfig(BaseSettings):
"""
Configuration settings for workflow run logs archiving storage.
"""
ARCHIVE_STORAGE_ENABLED: bool = Field(
description="Enable workflow run logs archiving to S3-compatible storage",
default=False,
)
ARCHIVE_STORAGE_ENDPOINT: str | None = Field(
description="URL of the S3-compatible storage endpoint (e.g., 'https://storage.example.com')",
default=None,
)
ARCHIVE_STORAGE_ARCHIVE_BUCKET: str | None = Field(
description="Name of the bucket to store archived workflow logs",
default=None,
)
ARCHIVE_STORAGE_EXPORT_BUCKET: str | None = Field(
description="Name of the bucket to store exported workflow runs",
default=None,
)
ARCHIVE_STORAGE_ACCESS_KEY: str | None = Field(
description="Access key ID for authenticating with storage",
default=None,
)
ARCHIVE_STORAGE_SECRET_KEY: str | None = Field(
description="Secret access key for authenticating with storage",
default=None,
)
ARCHIVE_STORAGE_REGION: str = Field(
description="Region for storage (use 'auto' if the provider supports it)",
default="auto",
)

View File

@ -587,6 +587,11 @@ class LoggingConfig(BaseSettings):
default="INFO",
)
LOG_OUTPUT_FORMAT: Literal["text", "json"] = Field(
description="Log output format: 'text' for human-readable, 'json' for structured JSON logs.",
default="text",
)
LOG_FILE: str | None = Field(
description="File path for log output.",
default=None,

View File

@ -16,7 +16,6 @@ class MilvusConfig(BaseSettings):
description="Authentication token for Milvus, if token-based authentication is enabled",
default=None,
)
MILVUS_USER: str | None = Field(
description="Username for authenticating with Milvus, if username/password authentication is enabled",
default=None,

View File

@ -1,62 +1,59 @@
from flask_restx import Api, Namespace, fields
from __future__ import annotations
from libs.helper import AppIconUrlField
from typing import Any, TypeAlias
parameters__system_parameters = {
"image_file_size_limit": fields.Integer,
"video_file_size_limit": fields.Integer,
"audio_file_size_limit": fields.Integer,
"file_size_limit": fields.Integer,
"workflow_file_upload_limit": fields.Integer,
}
from pydantic import BaseModel, ConfigDict, computed_field
from core.file import helpers as file_helpers
from models.model import IconType
JSONValue: TypeAlias = str | int | float | bool | None | dict[str, Any] | list[Any]
JSONObject: TypeAlias = dict[str, Any]
def build_system_parameters_model(api_or_ns: Api | Namespace):
"""Build the system parameters model for the API or Namespace."""
return api_or_ns.model("SystemParameters", parameters__system_parameters)
class SystemParameters(BaseModel):
image_file_size_limit: int
video_file_size_limit: int
audio_file_size_limit: int
file_size_limit: int
workflow_file_upload_limit: int
parameters_fields = {
"opening_statement": fields.String,
"suggested_questions": fields.Raw,
"suggested_questions_after_answer": fields.Raw,
"speech_to_text": fields.Raw,
"text_to_speech": fields.Raw,
"retriever_resource": fields.Raw,
"annotation_reply": fields.Raw,
"more_like_this": fields.Raw,
"user_input_form": fields.Raw,
"sensitive_word_avoidance": fields.Raw,
"file_upload": fields.Raw,
"system_parameters": fields.Nested(parameters__system_parameters),
}
class Parameters(BaseModel):
opening_statement: str | None = None
suggested_questions: list[str]
suggested_questions_after_answer: JSONObject
speech_to_text: JSONObject
text_to_speech: JSONObject
retriever_resource: JSONObject
annotation_reply: JSONObject
more_like_this: JSONObject
user_input_form: list[JSONObject]
sensitive_word_avoidance: JSONObject
file_upload: JSONObject
system_parameters: SystemParameters
def build_parameters_model(api_or_ns: Api | Namespace):
"""Build the parameters model for the API or Namespace."""
copied_fields = parameters_fields.copy()
copied_fields["system_parameters"] = fields.Nested(build_system_parameters_model(api_or_ns))
return api_or_ns.model("Parameters", copied_fields)
class Site(BaseModel):
model_config = ConfigDict(from_attributes=True)
title: str
chat_color_theme: str | None = None
chat_color_theme_inverted: bool
icon_type: str | None = None
icon: str | None = None
icon_background: str | None = None
description: str | None = None
copyright: str | None = None
privacy_policy: str | None = None
custom_disclaimer: str | None = None
default_language: str
show_workflow_steps: bool
use_icon_as_answer_icon: bool
site_fields = {
"title": fields.String,
"chat_color_theme": fields.String,
"chat_color_theme_inverted": fields.Boolean,
"icon_type": fields.String,
"icon": fields.String,
"icon_background": fields.String,
"icon_url": AppIconUrlField,
"description": fields.String,
"copyright": fields.String,
"privacy_policy": fields.String,
"custom_disclaimer": fields.String,
"default_language": fields.String,
"show_workflow_steps": fields.Boolean,
"use_icon_as_answer_icon": fields.Boolean,
}
def build_site_model(api_or_ns: Api | Namespace):
"""Build the site model for the API or Namespace."""
return api_or_ns.model("Site", site_fields)
@computed_field(return_type=str | None) # type: ignore
@property
def icon_url(self) -> str | None:
if self.icon and self.icon_type == IconType.IMAGE:
return file_helpers.get_signed_file_url(self.icon)
return None

View File

@ -1,13 +1,16 @@
import re
import uuid
from typing import Literal
from datetime import datetime
from typing import Any, Literal, TypeAlias
from flask import request
from flask_restx import Resource, fields, marshal, marshal_with
from pydantic import BaseModel, Field, field_validator
from flask_restx import Resource
from pydantic import AliasChoices, BaseModel, ConfigDict, Field, computed_field, field_validator
from sqlalchemy import select
from sqlalchemy.orm import Session
from werkzeug.exceptions import BadRequest
from controllers.common.schema import register_schema_models
from controllers.console import console_ns
from controllers.console.app.wraps import get_app_model
from controllers.console.wraps import (
@ -18,27 +21,19 @@ from controllers.console.wraps import (
is_admin_or_owner_required,
setup_required,
)
from core.file import helpers as file_helpers
from core.ops.ops_trace_manager import OpsTraceManager
from core.workflow.enums import NodeType
from extensions.ext_database import db
from fields.app_fields import (
deleted_tool_fields,
model_config_fields,
model_config_partial_fields,
site_fields,
tag_fields,
)
from fields.workflow_fields import workflow_partial_fields as _workflow_partial_fields_dict
from libs.helper import AppIconUrlField, TimestampField
from libs.login import current_account_with_tenant, login_required
from models import App, Workflow
from models.model import IconType
from services.app_dsl_service import AppDslService, ImportMode
from services.app_service import AppService
from services.enterprise.enterprise_service import EnterpriseService
from services.feature_service import FeatureService
ALLOW_CREATE_APP_MODES = ["chat", "agent-chat", "advanced-chat", "workflow", "completion"]
DEFAULT_REF_TEMPLATE_SWAGGER_2_0 = "#/definitions/{model}"
class AppListQuery(BaseModel):
@ -73,6 +68,48 @@ class AppListQuery(BaseModel):
raise ValueError("Invalid UUID format in tag_ids.") from exc
# XSS prevention: patterns that could lead to XSS attacks
# Includes: script tags, iframe tags, javascript: protocol, SVG with onload, etc.
_XSS_PATTERNS = [
r"<script[^>]*>.*?</script>", # Script tags
r"<iframe\b[^>]*?(?:/>|>.*?</iframe>)", # Iframe tags (including self-closing)
r"javascript:", # JavaScript protocol
r"<svg[^>]*?\s+onload\s*=[^>]*>", # SVG with onload handler (attribute-aware, flexible whitespace)
r"<.*?on\s*\w+\s*=", # Event handlers like onclick, onerror, etc.
r"<object\b[^>]*(?:\s*/>|>.*?</object\s*>)", # Object tags (opening tag)
r"<embed[^>]*>", # Embed tags (self-closing)
r"<link[^>]*>", # Link tags with javascript
]
def _validate_xss_safe(value: str | None, field_name: str = "Field") -> str | None:
"""
Validate that a string value doesn't contain potential XSS payloads.
Args:
value: The string value to validate
field_name: Name of the field for error messages
Returns:
The original value if safe
Raises:
ValueError: If the value contains XSS patterns
"""
if value is None:
return None
value_lower = value.lower()
for pattern in _XSS_PATTERNS:
if re.search(pattern, value_lower, re.DOTALL | re.IGNORECASE):
raise ValueError(
f"{field_name} contains invalid characters or patterns. "
"HTML tags, JavaScript, and other potentially dangerous content are not allowed."
)
return value
class CreateAppPayload(BaseModel):
name: str = Field(..., min_length=1, description="App name")
description: str | None = Field(default=None, description="App description (max 400 chars)", max_length=400)
@ -81,6 +118,11 @@ class CreateAppPayload(BaseModel):
icon: str | None = Field(default=None, description="Icon")
icon_background: str | None = Field(default=None, description="Icon background color")
@field_validator("name", "description", mode="before")
@classmethod
def validate_xss_safe(cls, value: str | None, info) -> str | None:
return _validate_xss_safe(value, info.field_name)
class UpdateAppPayload(BaseModel):
name: str = Field(..., min_length=1, description="App name")
@ -91,6 +133,11 @@ class UpdateAppPayload(BaseModel):
use_icon_as_answer_icon: bool | None = Field(default=None, description="Use icon as answer icon")
max_active_requests: int | None = Field(default=None, description="Maximum active requests")
@field_validator("name", "description", mode="before")
@classmethod
def validate_xss_safe(cls, value: str | None, info) -> str | None:
return _validate_xss_safe(value, info.field_name)
class CopyAppPayload(BaseModel):
name: str | None = Field(default=None, description="Name for the copied app")
@ -99,6 +146,11 @@ class CopyAppPayload(BaseModel):
icon: str | None = Field(default=None, description="Icon")
icon_background: str | None = Field(default=None, description="Icon background color")
@field_validator("name", "description", mode="before")
@classmethod
def validate_xss_safe(cls, value: str | None, info) -> str | None:
return _validate_xss_safe(value, info.field_name)
class AppExportQuery(BaseModel):
include_secret: bool = Field(default=False, description="Include secrets in export")
@ -134,124 +186,292 @@ class AppTracePayload(BaseModel):
return value
def reg(cls: type[BaseModel]):
console_ns.schema_model(cls.__name__, cls.model_json_schema(ref_template=DEFAULT_REF_TEMPLATE_SWAGGER_2_0))
JSONValue: TypeAlias = Any
reg(AppListQuery)
reg(CreateAppPayload)
reg(UpdateAppPayload)
reg(CopyAppPayload)
reg(AppExportQuery)
reg(AppNamePayload)
reg(AppIconPayload)
reg(AppSiteStatusPayload)
reg(AppApiStatusPayload)
reg(AppTracePayload)
class ResponseModel(BaseModel):
model_config = ConfigDict(
from_attributes=True,
extra="ignore",
populate_by_name=True,
serialize_by_alias=True,
protected_namespaces=(),
)
# Register models for flask_restx to avoid dict type issues in Swagger
# Register base models first
tag_model = console_ns.model("Tag", tag_fields)
workflow_partial_model = console_ns.model("WorkflowPartial", _workflow_partial_fields_dict)
def _to_timestamp(value: datetime | int | None) -> int | None:
if isinstance(value, datetime):
return int(value.timestamp())
return value
model_config_model = console_ns.model("ModelConfig", model_config_fields)
model_config_partial_model = console_ns.model("ModelConfigPartial", model_config_partial_fields)
def _build_icon_url(icon_type: str | IconType | None, icon: str | None) -> str | None:
if icon is None or icon_type is None:
return None
icon_type_value = icon_type.value if isinstance(icon_type, IconType) else str(icon_type)
if icon_type_value.lower() != IconType.IMAGE.value:
return None
return file_helpers.get_signed_file_url(icon)
deleted_tool_model = console_ns.model("DeletedTool", deleted_tool_fields)
site_model = console_ns.model("Site", site_fields)
class Tag(ResponseModel):
id: str
name: str
type: str
app_partial_model = console_ns.model(
"AppPartial",
{
"id": fields.String,
"name": fields.String,
"max_active_requests": fields.Raw(),
"description": fields.String(attribute="desc_or_prompt"),
"mode": fields.String(attribute="mode_compatible_with_agent"),
"icon_type": fields.String,
"icon": fields.String,
"icon_background": fields.String,
"icon_url": AppIconUrlField,
"model_config": fields.Nested(model_config_partial_model, attribute="app_model_config", allow_null=True),
"workflow": fields.Nested(workflow_partial_model, allow_null=True),
"use_icon_as_answer_icon": fields.Boolean,
"created_by": fields.String,
"created_at": TimestampField,
"updated_by": fields.String,
"updated_at": TimestampField,
"tags": fields.List(fields.Nested(tag_model)),
"access_mode": fields.String,
"create_user_name": fields.String,
"author_name": fields.String,
"has_draft_trigger": fields.Boolean,
},
)
app_detail_model = console_ns.model(
"AppDetail",
{
"id": fields.String,
"name": fields.String,
"description": fields.String,
"mode": fields.String(attribute="mode_compatible_with_agent"),
"icon": fields.String,
"icon_background": fields.String,
"enable_site": fields.Boolean,
"enable_api": fields.Boolean,
"model_config": fields.Nested(model_config_model, attribute="app_model_config", allow_null=True),
"workflow": fields.Nested(workflow_partial_model, allow_null=True),
"tracing": fields.Raw,
"use_icon_as_answer_icon": fields.Boolean,
"created_by": fields.String,
"created_at": TimestampField,
"updated_by": fields.String,
"updated_at": TimestampField,
"access_mode": fields.String,
"tags": fields.List(fields.Nested(tag_model)),
},
)
class WorkflowPartial(ResponseModel):
id: str
created_by: str | None = None
created_at: int | None = None
updated_by: str | None = None
updated_at: int | None = None
app_detail_with_site_model = console_ns.model(
"AppDetailWithSite",
{
"id": fields.String,
"name": fields.String,
"description": fields.String,
"mode": fields.String(attribute="mode_compatible_with_agent"),
"icon_type": fields.String,
"icon": fields.String,
"icon_background": fields.String,
"icon_url": AppIconUrlField,
"enable_site": fields.Boolean,
"enable_api": fields.Boolean,
"model_config": fields.Nested(model_config_model, attribute="app_model_config", allow_null=True),
"workflow": fields.Nested(workflow_partial_model, allow_null=True),
"api_base_url": fields.String,
"use_icon_as_answer_icon": fields.Boolean,
"max_active_requests": fields.Integer,
"created_by": fields.String,
"created_at": TimestampField,
"updated_by": fields.String,
"updated_at": TimestampField,
"deleted_tools": fields.List(fields.Nested(deleted_tool_model)),
"access_mode": fields.String,
"tags": fields.List(fields.Nested(tag_model)),
"site": fields.Nested(site_model),
},
)
@field_validator("created_at", "updated_at", mode="before")
@classmethod
def _normalize_timestamp(cls, value: datetime | int | None) -> int | None:
return _to_timestamp(value)
app_pagination_model = console_ns.model(
"AppPagination",
{
"page": fields.Integer,
"limit": fields.Integer(attribute="per_page"),
"total": fields.Integer,
"has_more": fields.Boolean(attribute="has_next"),
"data": fields.List(fields.Nested(app_partial_model), attribute="items"),
},
class ModelConfigPartial(ResponseModel):
model: JSONValue | None = Field(default=None, validation_alias=AliasChoices("model_dict", "model"))
pre_prompt: str | None = None
created_by: str | None = None
created_at: int | None = None
updated_by: str | None = None
updated_at: int | None = None
@field_validator("created_at", "updated_at", mode="before")
@classmethod
def _normalize_timestamp(cls, value: datetime | int | None) -> int | None:
return _to_timestamp(value)
class ModelConfig(ResponseModel):
opening_statement: str | None = None
suggested_questions: JSONValue | None = Field(
default=None, validation_alias=AliasChoices("suggested_questions_list", "suggested_questions")
)
suggested_questions_after_answer: JSONValue | None = Field(
default=None,
validation_alias=AliasChoices("suggested_questions_after_answer_dict", "suggested_questions_after_answer"),
)
speech_to_text: JSONValue | None = Field(
default=None, validation_alias=AliasChoices("speech_to_text_dict", "speech_to_text")
)
text_to_speech: JSONValue | None = Field(
default=None, validation_alias=AliasChoices("text_to_speech_dict", "text_to_speech")
)
retriever_resource: JSONValue | None = Field(
default=None, validation_alias=AliasChoices("retriever_resource_dict", "retriever_resource")
)
annotation_reply: JSONValue | None = Field(
default=None, validation_alias=AliasChoices("annotation_reply_dict", "annotation_reply")
)
more_like_this: JSONValue | None = Field(
default=None, validation_alias=AliasChoices("more_like_this_dict", "more_like_this")
)
sensitive_word_avoidance: JSONValue | None = Field(
default=None, validation_alias=AliasChoices("sensitive_word_avoidance_dict", "sensitive_word_avoidance")
)
external_data_tools: JSONValue | None = Field(
default=None, validation_alias=AliasChoices("external_data_tools_list", "external_data_tools")
)
model: JSONValue | None = Field(default=None, validation_alias=AliasChoices("model_dict", "model"))
user_input_form: JSONValue | None = Field(
default=None, validation_alias=AliasChoices("user_input_form_list", "user_input_form")
)
dataset_query_variable: str | None = None
pre_prompt: str | None = None
agent_mode: JSONValue | None = Field(default=None, validation_alias=AliasChoices("agent_mode_dict", "agent_mode"))
prompt_type: str | None = None
chat_prompt_config: JSONValue | None = Field(
default=None, validation_alias=AliasChoices("chat_prompt_config_dict", "chat_prompt_config")
)
completion_prompt_config: JSONValue | None = Field(
default=None, validation_alias=AliasChoices("completion_prompt_config_dict", "completion_prompt_config")
)
dataset_configs: JSONValue | None = Field(
default=None, validation_alias=AliasChoices("dataset_configs_dict", "dataset_configs")
)
file_upload: JSONValue | None = Field(
default=None, validation_alias=AliasChoices("file_upload_dict", "file_upload")
)
created_by: str | None = None
created_at: int | None = None
updated_by: str | None = None
updated_at: int | None = None
@field_validator("created_at", "updated_at", mode="before")
@classmethod
def _normalize_timestamp(cls, value: datetime | int | None) -> int | None:
return _to_timestamp(value)
class Site(ResponseModel):
access_token: str | None = Field(default=None, validation_alias="code")
code: str | None = None
title: str | None = None
icon_type: str | IconType | None = None
icon: str | None = None
icon_background: str | None = None
description: str | None = None
default_language: str | None = None
chat_color_theme: str | None = None
chat_color_theme_inverted: bool | None = None
customize_domain: str | None = None
copyright: str | None = None
privacy_policy: str | None = None
custom_disclaimer: str | None = None
customize_token_strategy: str | None = None
prompt_public: bool | None = None
app_base_url: str | None = None
show_workflow_steps: bool | None = None
use_icon_as_answer_icon: bool | None = None
created_by: str | None = None
created_at: int | None = None
updated_by: str | None = None
updated_at: int | None = None
@computed_field(return_type=str | None) # type: ignore
@property
def icon_url(self) -> str | None:
return _build_icon_url(self.icon_type, self.icon)
@field_validator("icon_type", mode="before")
@classmethod
def _normalize_icon_type(cls, value: str | IconType | None) -> str | None:
if isinstance(value, IconType):
return value.value
return value
@field_validator("created_at", "updated_at", mode="before")
@classmethod
def _normalize_timestamp(cls, value: datetime | int | None) -> int | None:
return _to_timestamp(value)
class DeletedTool(ResponseModel):
type: str
tool_name: str
provider_id: str
class AppPartial(ResponseModel):
id: str
name: str
max_active_requests: int | None = None
description: str | None = Field(default=None, validation_alias=AliasChoices("desc_or_prompt", "description"))
mode: str = Field(validation_alias="mode_compatible_with_agent")
icon_type: str | None = None
icon: str | None = None
icon_background: str | None = None
model_config_: ModelConfigPartial | None = Field(
default=None,
validation_alias=AliasChoices("app_model_config", "model_config"),
alias="model_config",
)
workflow: WorkflowPartial | None = None
use_icon_as_answer_icon: bool | None = None
created_by: str | None = None
created_at: int | None = None
updated_by: str | None = None
updated_at: int | None = None
tags: list[Tag] = Field(default_factory=list)
access_mode: str | None = None
create_user_name: str | None = None
author_name: str | None = None
has_draft_trigger: bool | None = None
@computed_field(return_type=str | None) # type: ignore
@property
def icon_url(self) -> str | None:
return _build_icon_url(self.icon_type, self.icon)
@field_validator("created_at", "updated_at", mode="before")
@classmethod
def _normalize_timestamp(cls, value: datetime | int | None) -> int | None:
return _to_timestamp(value)
class AppDetail(ResponseModel):
id: str
name: str
description: str | None = None
mode: str = Field(validation_alias="mode_compatible_with_agent")
icon: str | None = None
icon_background: str | None = None
enable_site: bool
enable_api: bool
model_config_: ModelConfig | None = Field(
default=None,
validation_alias=AliasChoices("app_model_config", "model_config"),
alias="model_config",
)
workflow: WorkflowPartial | None = None
tracing: JSONValue | None = None
use_icon_as_answer_icon: bool | None = None
created_by: str | None = None
created_at: int | None = None
updated_by: str | None = None
updated_at: int | None = None
access_mode: str | None = None
tags: list[Tag] = Field(default_factory=list)
@field_validator("created_at", "updated_at", mode="before")
@classmethod
def _normalize_timestamp(cls, value: datetime | int | None) -> int | None:
return _to_timestamp(value)
class AppDetailWithSite(AppDetail):
icon_type: str | None = None
api_base_url: str | None = None
max_active_requests: int | None = None
deleted_tools: list[DeletedTool] = Field(default_factory=list)
site: Site | None = None
@computed_field(return_type=str | None) # type: ignore
@property
def icon_url(self) -> str | None:
return _build_icon_url(self.icon_type, self.icon)
class AppPagination(ResponseModel):
page: int
limit: int = Field(validation_alias=AliasChoices("per_page", "limit"))
total: int
has_more: bool = Field(validation_alias=AliasChoices("has_next", "has_more"))
data: list[AppPartial] = Field(validation_alias=AliasChoices("items", "data"))
class AppExportResponse(ResponseModel):
data: str
register_schema_models(
console_ns,
AppListQuery,
CreateAppPayload,
UpdateAppPayload,
CopyAppPayload,
AppExportQuery,
AppNamePayload,
AppIconPayload,
AppSiteStatusPayload,
AppApiStatusPayload,
AppTracePayload,
Tag,
WorkflowPartial,
ModelConfigPartial,
ModelConfig,
Site,
DeletedTool,
AppPartial,
AppDetail,
AppDetailWithSite,
AppPagination,
AppExportResponse,
)
@ -260,7 +480,7 @@ class AppListApi(Resource):
@console_ns.doc("list_apps")
@console_ns.doc(description="Get list of applications with pagination and filtering")
@console_ns.expect(console_ns.models[AppListQuery.__name__])
@console_ns.response(200, "Success", app_pagination_model)
@console_ns.response(200, "Success", console_ns.models[AppPagination.__name__])
@setup_required
@login_required
@account_initialization_required
@ -276,7 +496,8 @@ class AppListApi(Resource):
app_service = AppService()
app_pagination = app_service.get_paginate_apps(current_user.id, current_tenant_id, args_dict)
if not app_pagination:
return {"data": [], "total": 0, "page": 1, "limit": 20, "has_more": False}
empty = AppPagination(page=args.page, limit=args.limit, total=0, has_more=False, data=[])
return empty.model_dump(mode="json"), 200
if FeatureService.get_system_features().webapp_auth.enabled:
app_ids = [str(app.id) for app in app_pagination.items]
@ -320,18 +541,18 @@ class AppListApi(Resource):
for app in app_pagination.items:
app.has_draft_trigger = str(app.id) in draft_trigger_app_ids
return marshal(app_pagination, app_pagination_model), 200
pagination_model = AppPagination.model_validate(app_pagination, from_attributes=True)
return pagination_model.model_dump(mode="json"), 200
@console_ns.doc("create_app")
@console_ns.doc(description="Create a new application")
@console_ns.expect(console_ns.models[CreateAppPayload.__name__])
@console_ns.response(201, "App created successfully", app_detail_model)
@console_ns.response(201, "App created successfully", console_ns.models[AppDetail.__name__])
@console_ns.response(403, "Insufficient permissions")
@console_ns.response(400, "Invalid request parameters")
@setup_required
@login_required
@account_initialization_required
@marshal_with(app_detail_model)
@cloud_edition_billing_resource_check("apps")
@edit_permission_required
def post(self):
@ -341,8 +562,8 @@ class AppListApi(Resource):
app_service = AppService()
app = app_service.create_app(current_tenant_id, args.model_dump(), current_user)
return app, 201
app_detail = AppDetail.model_validate(app, from_attributes=True)
return app_detail.model_dump(mode="json"), 201
@console_ns.route("/apps/<uuid:app_id>")
@ -350,13 +571,12 @@ class AppApi(Resource):
@console_ns.doc("get_app_detail")
@console_ns.doc(description="Get application details")
@console_ns.doc(params={"app_id": "Application ID"})
@console_ns.response(200, "Success", app_detail_with_site_model)
@console_ns.response(200, "Success", console_ns.models[AppDetailWithSite.__name__])
@setup_required
@login_required
@account_initialization_required
@enterprise_license_required
@get_app_model
@marshal_with(app_detail_with_site_model)
@get_app_model(mode=None)
def get(self, app_model):
"""Get app detail"""
app_service = AppService()
@ -367,21 +587,21 @@ class AppApi(Resource):
app_setting = EnterpriseService.WebAppAuth.get_app_access_mode_by_id(app_id=str(app_model.id))
app_model.access_mode = app_setting.access_mode
return app_model
response_model = AppDetailWithSite.model_validate(app_model, from_attributes=True)
return response_model.model_dump(mode="json")
@console_ns.doc("update_app")
@console_ns.doc(description="Update application details")
@console_ns.doc(params={"app_id": "Application ID"})
@console_ns.expect(console_ns.models[UpdateAppPayload.__name__])
@console_ns.response(200, "App updated successfully", app_detail_with_site_model)
@console_ns.response(200, "App updated successfully", console_ns.models[AppDetailWithSite.__name__])
@console_ns.response(403, "Insufficient permissions")
@console_ns.response(400, "Invalid request parameters")
@setup_required
@login_required
@account_initialization_required
@get_app_model
@get_app_model(mode=None)
@edit_permission_required
@marshal_with(app_detail_with_site_model)
def put(self, app_model):
"""Update app"""
args = UpdateAppPayload.model_validate(console_ns.payload)
@ -398,8 +618,8 @@ class AppApi(Resource):
"max_active_requests": args.max_active_requests or 0,
}
app_model = app_service.update_app(app_model, args_dict)
return app_model
response_model = AppDetailWithSite.model_validate(app_model, from_attributes=True)
return response_model.model_dump(mode="json")
@console_ns.doc("delete_app")
@console_ns.doc(description="Delete application")
@ -425,14 +645,13 @@ class AppCopyApi(Resource):
@console_ns.doc(description="Create a copy of an existing application")
@console_ns.doc(params={"app_id": "Application ID to copy"})
@console_ns.expect(console_ns.models[CopyAppPayload.__name__])
@console_ns.response(201, "App copied successfully", app_detail_with_site_model)
@console_ns.response(201, "App copied successfully", console_ns.models[AppDetailWithSite.__name__])
@console_ns.response(403, "Insufficient permissions")
@setup_required
@login_required
@account_initialization_required
@get_app_model
@get_app_model(mode=None)
@edit_permission_required
@marshal_with(app_detail_with_site_model)
def post(self, app_model):
"""Copy app"""
# The role of the current user in the ta table must be admin, owner, or editor
@ -458,7 +677,8 @@ class AppCopyApi(Resource):
stmt = select(App).where(App.id == result.app_id)
app = session.scalar(stmt)
return app, 201
response_model = AppDetailWithSite.model_validate(app, from_attributes=True)
return response_model.model_dump(mode="json"), 201
@console_ns.route("/apps/<uuid:app_id>/export")
@ -467,11 +687,7 @@ class AppExportApi(Resource):
@console_ns.doc(description="Export application configuration as DSL")
@console_ns.doc(params={"app_id": "Application ID to export"})
@console_ns.expect(console_ns.models[AppExportQuery.__name__])
@console_ns.response(
200,
"App exported successfully",
console_ns.model("AppExportResponse", {"data": fields.String(description="DSL export data")}),
)
@console_ns.response(200, "App exported successfully", console_ns.models[AppExportResponse.__name__])
@console_ns.response(403, "Insufficient permissions")
@get_app_model
@setup_required
@ -482,13 +698,14 @@ class AppExportApi(Resource):
"""Export app"""
args = AppExportQuery.model_validate(request.args.to_dict(flat=True)) # type: ignore
return {
"data": AppDslService.export_dsl(
payload = AppExportResponse(
data=AppDslService.export_dsl(
app_model=app_model,
include_secret=args.include_secret,
workflow_id=args.workflow_id,
)
}
)
return payload.model_dump(mode="json")
@console_ns.route("/apps/<uuid:app_id>/name")
@ -497,20 +714,19 @@ class AppNameApi(Resource):
@console_ns.doc(description="Check if app name is available")
@console_ns.doc(params={"app_id": "Application ID"})
@console_ns.expect(console_ns.models[AppNamePayload.__name__])
@console_ns.response(200, "Name availability checked")
@console_ns.response(200, "Name availability checked", console_ns.models[AppDetail.__name__])
@setup_required
@login_required
@account_initialization_required
@get_app_model
@marshal_with(app_detail_model)
@get_app_model(mode=None)
@edit_permission_required
def post(self, app_model):
args = AppNamePayload.model_validate(console_ns.payload)
app_service = AppService()
app_model = app_service.update_app_name(app_model, args.name)
return app_model
response_model = AppDetail.model_validate(app_model, from_attributes=True)
return response_model.model_dump(mode="json")
@console_ns.route("/apps/<uuid:app_id>/icon")
@ -524,16 +740,15 @@ class AppIconApi(Resource):
@setup_required
@login_required
@account_initialization_required
@get_app_model
@marshal_with(app_detail_model)
@get_app_model(mode=None)
@edit_permission_required
def post(self, app_model):
args = AppIconPayload.model_validate(console_ns.payload or {})
app_service = AppService()
app_model = app_service.update_app_icon(app_model, args.icon or "", args.icon_background or "")
return app_model
response_model = AppDetail.model_validate(app_model, from_attributes=True)
return response_model.model_dump(mode="json")
@console_ns.route("/apps/<uuid:app_id>/site-enable")
@ -542,21 +757,20 @@ class AppSiteStatus(Resource):
@console_ns.doc(description="Enable or disable app site")
@console_ns.doc(params={"app_id": "Application ID"})
@console_ns.expect(console_ns.models[AppSiteStatusPayload.__name__])
@console_ns.response(200, "Site status updated successfully", app_detail_model)
@console_ns.response(200, "Site status updated successfully", console_ns.models[AppDetail.__name__])
@console_ns.response(403, "Insufficient permissions")
@setup_required
@login_required
@account_initialization_required
@get_app_model
@marshal_with(app_detail_model)
@get_app_model(mode=None)
@edit_permission_required
def post(self, app_model):
args = AppSiteStatusPayload.model_validate(console_ns.payload)
app_service = AppService()
app_model = app_service.update_app_site_status(app_model, args.enable_site)
return app_model
response_model = AppDetail.model_validate(app_model, from_attributes=True)
return response_model.model_dump(mode="json")
@console_ns.route("/apps/<uuid:app_id>/api-enable")
@ -565,21 +779,20 @@ class AppApiStatus(Resource):
@console_ns.doc(description="Enable or disable app API")
@console_ns.doc(params={"app_id": "Application ID"})
@console_ns.expect(console_ns.models[AppApiStatusPayload.__name__])
@console_ns.response(200, "API status updated successfully", app_detail_model)
@console_ns.response(200, "API status updated successfully", console_ns.models[AppDetail.__name__])
@console_ns.response(403, "Insufficient permissions")
@setup_required
@login_required
@is_admin_or_owner_required
@account_initialization_required
@get_app_model
@marshal_with(app_detail_model)
@get_app_model(mode=None)
def post(self, app_model):
args = AppApiStatusPayload.model_validate(console_ns.payload)
app_service = AppService()
app_model = app_service.update_app_api_status(app_model, args.enable_api)
return app_model
response_model = AppDetail.model_validate(app_model, from_attributes=True)
return response_model.model_dump(mode="json")
@console_ns.route("/apps/<uuid:app_id>/trace")

View File

@ -13,7 +13,6 @@ from controllers.console.app.wraps import get_app_model
from controllers.console.wraps import account_initialization_required, edit_permission_required, setup_required
from core.app.entities.app_invoke_entities import InvokeFrom
from extensions.ext_database import db
from fields.conversation_fields import MessageTextField
from fields.raws import FilesContainedField
from libs.datetime_utils import naive_utc_now, parse_time_range
from libs.helper import TimestampField
@ -177,6 +176,12 @@ annotation_hit_history_model = console_ns.model(
},
)
class MessageTextField(fields.Raw):
def format(self, value):
return value[0]["text"] if value else ""
# Simple message detail model
simple_message_detail_model = console_ns.model(
"SimpleMessageDetail",
@ -343,10 +348,13 @@ class CompletionConversationApi(Resource):
)
if args.keyword:
from libs.helper import escape_like_pattern
escaped_keyword = escape_like_pattern(args.keyword)
query = query.join(Message, Message.conversation_id == Conversation.id).where(
or_(
Message.query.ilike(f"%{args.keyword}%"),
Message.answer.ilike(f"%{args.keyword}%"),
Message.query.ilike(f"%{escaped_keyword}%", escape="\\"),
Message.answer.ilike(f"%{escaped_keyword}%", escape="\\"),
)
)
@ -455,7 +463,10 @@ class ChatConversationApi(Resource):
query = sa.select(Conversation).where(Conversation.app_id == app_model.id, Conversation.is_deleted.is_(False))
if args.keyword:
keyword_filter = f"%{args.keyword}%"
from libs.helper import escape_like_pattern
escaped_keyword = escape_like_pattern(args.keyword)
keyword_filter = f"%{escaped_keyword}%"
query = (
query.join(
Message,
@ -464,11 +475,11 @@ class ChatConversationApi(Resource):
.join(subquery, subquery.c.conversation_id == Conversation.id)
.where(
or_(
Message.query.ilike(keyword_filter),
Message.answer.ilike(keyword_filter),
Conversation.name.ilike(keyword_filter),
Conversation.introduction.ilike(keyword_filter),
subquery.c.from_end_user_session_id.ilike(keyword_filter),
Message.query.ilike(keyword_filter, escape="\\"),
Message.answer.ilike(keyword_filter, escape="\\"),
Conversation.name.ilike(keyword_filter, escape="\\"),
Conversation.introduction.ilike(keyword_filter, escape="\\"),
subquery.c.from_end_user_session_id.ilike(keyword_filter, escape="\\"),
),
)
.group_by(Conversation.id)

View File

@ -1,3 +1,5 @@
from typing import Any
import flask_login
from flask import make_response, request
from flask_restx import Resource
@ -96,14 +98,13 @@ class LoginApi(Resource):
if is_login_error_rate_limit:
raise EmailPasswordLoginLimitError()
# TODO: why invitation is re-assigned with different type?
invitation = args.invite_token # type: ignore
if invitation:
invitation = RegisterService.get_invitation_if_token_valid(None, args.email, invitation) # type: ignore
invitation_data: dict[str, Any] | None = None
if args.invite_token:
invitation_data = RegisterService.get_invitation_if_token_valid(None, args.email, args.invite_token)
try:
if invitation:
data = invitation.get("data", {}) # type: ignore
if invitation_data:
data = invitation_data.get("data", {})
invitee_email = data.get("email") if data else None
if invitee_email != args.email:
raise InvalidEmailError()

View File

@ -124,7 +124,7 @@ class OAuthCallback(Resource):
return redirect(f"{dify_config.CONSOLE_WEB_URL}/signin/invite-settings?invite_token={invite_token}")
try:
account = _generate_account(provider, user_info)
account, oauth_new_user = _generate_account(provider, user_info)
except AccountNotFoundError:
return redirect(f"{dify_config.CONSOLE_WEB_URL}/signin?message=Account not found.")
except (WorkSpaceNotFoundError, WorkSpaceNotAllowedCreateError):
@ -159,7 +159,10 @@ class OAuthCallback(Resource):
ip_address=extract_remote_ip(request),
)
response = redirect(f"{dify_config.CONSOLE_WEB_URL}")
base_url = dify_config.CONSOLE_WEB_URL
query_char = "&" if "?" in base_url else "?"
target_url = f"{base_url}{query_char}oauth_new_user={str(oauth_new_user).lower()}"
response = redirect(target_url)
set_access_token_to_cookie(request, response, token_pair.access_token)
set_refresh_token_to_cookie(request, response, token_pair.refresh_token)
@ -177,9 +180,10 @@ def _get_account_by_openid_or_email(provider: str, user_info: OAuthUserInfo) ->
return account
def _generate_account(provider: str, user_info: OAuthUserInfo):
def _generate_account(provider: str, user_info: OAuthUserInfo) -> tuple[Account, bool]:
# Get account by openid or email.
account = _get_account_by_openid_or_email(provider, user_info)
oauth_new_user = False
if account:
tenants = TenantService.get_join_tenants(account)
@ -193,6 +197,7 @@ def _generate_account(provider: str, user_info: OAuthUserInfo):
tenant_was_created.send(new_tenant)
if not account:
oauth_new_user = True
if not FeatureService.get_system_features().is_allow_register:
if dify_config.BILLING_ENABLED and BillingService.is_email_in_freeze(user_info.email):
raise AccountRegisterError(
@ -220,4 +225,4 @@ def _generate_account(provider: str, user_info: OAuthUserInfo):
# Link account
AccountService.link_account_integrate(provider, user_info.id, account)
return account
return account, oauth_new_user

View File

@ -751,12 +751,12 @@ class DocumentApi(DocumentResource):
elif metadata == "without":
dataset_process_rules = DatasetService.get_process_rules(dataset_id)
document_process_rules = document.dataset_process_rule.to_dict() if document.dataset_process_rule else {}
data_source_info = document.data_source_detail_dict
response = {
"id": document.id,
"position": document.position,
"data_source_type": document.data_source_type,
"data_source_info": data_source_info,
"data_source_info": document.data_source_info_dict,
"data_source_detail_dict": document.data_source_detail_dict,
"dataset_process_rule_id": document.dataset_process_rule_id,
"dataset_process_rule": dataset_process_rules,
"document_process_rule": document_process_rules,
@ -784,12 +784,12 @@ class DocumentApi(DocumentResource):
else:
dataset_process_rules = DatasetService.get_process_rules(dataset_id)
document_process_rules = document.dataset_process_rule.to_dict() if document.dataset_process_rule else {}
data_source_info = document.data_source_detail_dict
response = {
"id": document.id,
"position": document.position,
"data_source_type": document.data_source_type,
"data_source_info": data_source_info,
"data_source_info": document.data_source_info_dict,
"data_source_detail_dict": document.data_source_detail_dict,
"dataset_process_rule_id": document.dataset_process_rule_id,
"dataset_process_rule": dataset_process_rules,
"document_process_rule": document_process_rules,

View File

@ -3,10 +3,12 @@ import uuid
from flask import request
from flask_restx import Resource, marshal
from pydantic import BaseModel, Field
from sqlalchemy import select
from sqlalchemy import String, cast, func, or_, select
from sqlalchemy.dialects.postgresql import JSONB
from werkzeug.exceptions import Forbidden, NotFound
import services
from configs import dify_config
from controllers.common.schema import register_schema_models
from controllers.console import console_ns
from controllers.console.app.error import ProviderNotInitializeError
@ -28,6 +30,7 @@ from core.model_runtime.entities.model_entities import ModelType
from extensions.ext_database import db
from extensions.ext_redis import redis_client
from fields.segment_fields import child_chunk_fields, segment_fields
from libs.helper import escape_like_pattern
from libs.login import current_account_with_tenant, login_required
from models.dataset import ChildChunk, DocumentSegment
from models.model import UploadFile
@ -143,7 +146,31 @@ class DatasetDocumentSegmentListApi(Resource):
query = query.where(DocumentSegment.hit_count >= hit_count_gte)
if keyword:
query = query.where(DocumentSegment.content.ilike(f"%{keyword}%"))
# Escape special characters in keyword to prevent SQL injection via LIKE wildcards
escaped_keyword = escape_like_pattern(keyword)
# Search in both content and keywords fields
# Use database-specific methods for JSON array search
if dify_config.SQLALCHEMY_DATABASE_URI_SCHEME == "postgresql":
# PostgreSQL: Use jsonb_array_elements_text to properly handle Unicode/Chinese text
keywords_condition = func.array_to_string(
func.array(
select(func.jsonb_array_elements_text(cast(DocumentSegment.keywords, JSONB)))
.correlate(DocumentSegment)
.scalar_subquery()
),
",",
).ilike(f"%{escaped_keyword}%", escape="\\")
else:
# MySQL: Cast JSON to string for pattern matching
# MySQL stores Chinese text directly in JSON without Unicode escaping
keywords_condition = cast(DocumentSegment.keywords, String).ilike(f"%{escaped_keyword}%", escape="\\")
query = query.where(
or_(
DocumentSegment.content.ilike(f"%{escaped_keyword}%", escape="\\"),
keywords_condition,
)
)
if args.enabled.lower() != "all":
if args.enabled.lower() == "true":

View File

@ -1,7 +1,7 @@
import logging
from typing import Any
from flask_restx import marshal, reqparse
from flask_restx import marshal
from pydantic import BaseModel, Field
from werkzeug.exceptions import Forbidden, InternalServerError, NotFound
@ -56,15 +56,10 @@ class DatasetsHitTestingBase:
HitTestingService.hit_testing_args_check(args)
@staticmethod
def parse_args():
parser = (
reqparse.RequestParser()
.add_argument("query", type=str, required=False, location="json")
.add_argument("attachment_ids", type=list, required=False, location="json")
.add_argument("retrieval_model", type=dict, required=False, location="json")
.add_argument("external_retrieval_model", type=dict, required=False, location="json")
)
return parser.parse_args()
def parse_args(payload: dict[str, Any]) -> dict[str, Any]:
"""Validate and return hit-testing arguments from an incoming payload."""
hit_testing_payload = HitTestingPayload.model_validate(payload or {})
return hit_testing_payload.model_dump(exclude_none=True)
@staticmethod
def perform_hit_testing(dataset, args):

View File

@ -355,7 +355,7 @@ class PublishedRagPipelineRunApi(Resource):
pipeline=pipeline,
user=current_user,
args=args,
invoke_from=InvokeFrom.DEBUGGER if payload.is_preview else InvokeFrom.PUBLISHED,
invoke_from=InvokeFrom.DEBUGGER if payload.is_preview else InvokeFrom.PUBLISHED_PIPELINE,
streaming=streaming,
)

View File

@ -1,8 +1,7 @@
from typing import Any
from flask import request
from flask_restx import marshal_with
from pydantic import BaseModel, Field, model_validator
from pydantic import BaseModel, Field, TypeAdapter, model_validator
from sqlalchemy.orm import Session
from werkzeug.exceptions import NotFound
@ -11,7 +10,11 @@ from controllers.console.explore.error import NotChatAppError
from controllers.console.explore.wraps import InstalledAppResource
from core.app.entities.app_invoke_entities import InvokeFrom
from extensions.ext_database import db
from fields.conversation_fields import conversation_infinite_scroll_pagination_fields, simple_conversation_fields
from fields.conversation_fields import (
ConversationInfiniteScrollPagination,
ResultResponse,
SimpleConversation,
)
from libs.helper import UUIDStrOrEmpty
from libs.login import current_user
from models import Account
@ -49,7 +52,6 @@ register_schema_models(console_ns, ConversationListQuery, ConversationRenamePayl
endpoint="installed_app_conversations",
)
class ConversationListApi(InstalledAppResource):
@marshal_with(conversation_infinite_scroll_pagination_fields)
@console_ns.expect(console_ns.models[ConversationListQuery.__name__])
def get(self, installed_app):
app_model = installed_app.app
@ -73,7 +75,7 @@ class ConversationListApi(InstalledAppResource):
if not isinstance(current_user, Account):
raise ValueError("current_user must be an Account instance")
with Session(db.engine) as session:
return WebConversationService.pagination_by_last_id(
pagination = WebConversationService.pagination_by_last_id(
session=session,
app_model=app_model,
user=current_user,
@ -82,6 +84,13 @@ class ConversationListApi(InstalledAppResource):
invoke_from=InvokeFrom.EXPLORE,
pinned=args.pinned,
)
adapter = TypeAdapter(SimpleConversation)
conversations = [adapter.validate_python(item, from_attributes=True) for item in pagination.data]
return ConversationInfiniteScrollPagination(
limit=pagination.limit,
has_more=pagination.has_more,
data=conversations,
).model_dump(mode="json")
except LastConversationNotExistsError:
raise NotFound("Last Conversation Not Exists.")
@ -105,7 +114,7 @@ class ConversationApi(InstalledAppResource):
except ConversationNotExistsError:
raise NotFound("Conversation Not Exists.")
return {"result": "success"}, 204
return ResultResponse(result="success").model_dump(mode="json"), 204
@console_ns.route(
@ -113,7 +122,6 @@ class ConversationApi(InstalledAppResource):
endpoint="installed_app_conversation_rename",
)
class ConversationRenameApi(InstalledAppResource):
@marshal_with(simple_conversation_fields)
@console_ns.expect(console_ns.models[ConversationRenamePayload.__name__])
def post(self, installed_app, c_id):
app_model = installed_app.app
@ -128,9 +136,14 @@ class ConversationRenameApi(InstalledAppResource):
try:
if not isinstance(current_user, Account):
raise ValueError("current_user must be an Account instance")
return ConversationService.rename(
conversation = ConversationService.rename(
app_model, conversation_id, current_user, payload.name, payload.auto_generate
)
return (
TypeAdapter(SimpleConversation)
.validate_python(conversation, from_attributes=True)
.model_dump(mode="json")
)
except ConversationNotExistsError:
raise NotFound("Conversation Not Exists.")
@ -155,7 +168,7 @@ class ConversationPinApi(InstalledAppResource):
except ConversationNotExistsError:
raise NotFound("Conversation Not Exists.")
return {"result": "success"}
return ResultResponse(result="success").model_dump(mode="json")
@console_ns.route(
@ -174,4 +187,4 @@ class ConversationUnPinApi(InstalledAppResource):
raise ValueError("current_user must be an Account instance")
WebConversationService.unpin(app_model, conversation_id, current_user)
return {"result": "success"}
return ResultResponse(result="success").model_dump(mode="json")

View File

@ -2,8 +2,7 @@ import logging
from typing import Literal
from flask import request
from flask_restx import marshal_with
from pydantic import BaseModel, Field
from pydantic import BaseModel, Field, TypeAdapter
from werkzeug.exceptions import InternalServerError, NotFound
from controllers.common.schema import register_schema_models
@ -23,7 +22,8 @@ from controllers.console.explore.wraps import InstalledAppResource
from core.app.entities.app_invoke_entities import InvokeFrom
from core.errors.error import ModelCurrentlyNotSupportError, ProviderTokenNotInitError, QuotaExceededError
from core.model_runtime.errors.invoke import InvokeError
from fields.message_fields import message_infinite_scroll_pagination_fields
from fields.conversation_fields import ResultResponse
from fields.message_fields import MessageInfiniteScrollPagination, MessageListItem, SuggestedQuestionsResponse
from libs import helper
from libs.helper import UUIDStrOrEmpty
from libs.login import current_account_with_tenant
@ -66,7 +66,6 @@ register_schema_models(console_ns, MessageListQuery, MessageFeedbackPayload, Mor
endpoint="installed_app_messages",
)
class MessageListApi(InstalledAppResource):
@marshal_with(message_infinite_scroll_pagination_fields)
@console_ns.expect(console_ns.models[MessageListQuery.__name__])
def get(self, installed_app):
current_user, _ = current_account_with_tenant()
@ -78,13 +77,20 @@ class MessageListApi(InstalledAppResource):
args = MessageListQuery.model_validate(request.args.to_dict())
try:
return MessageService.pagination_by_first_id(
pagination = MessageService.pagination_by_first_id(
app_model,
current_user,
str(args.conversation_id),
str(args.first_id) if args.first_id else None,
args.limit,
)
adapter = TypeAdapter(MessageListItem)
items = [adapter.validate_python(message, from_attributes=True) for message in pagination.data]
return MessageInfiniteScrollPagination(
limit=pagination.limit,
has_more=pagination.has_more,
data=items,
).model_dump(mode="json")
except ConversationNotExistsError:
raise NotFound("Conversation Not Exists.")
except FirstMessageNotExistsError:
@ -116,7 +122,7 @@ class MessageFeedbackApi(InstalledAppResource):
except MessageNotExistsError:
raise NotFound("Message Not Exists.")
return {"result": "success"}
return ResultResponse(result="success").model_dump(mode="json")
@console_ns.route(
@ -201,4 +207,4 @@ class MessageSuggestedQuestionApi(InstalledAppResource):
logger.exception("internal server error.")
raise InternalServerError()
return {"data": questions}
return SuggestedQuestionsResponse(data=questions).model_dump(mode="json")

View File

@ -1,5 +1,3 @@
from flask_restx import marshal_with
from controllers.common import fields
from controllers.console import console_ns
from controllers.console.app.error import AppUnavailableError
@ -13,7 +11,6 @@ from services.app_service import AppService
class AppParameterApi(InstalledAppResource):
"""Resource for app variables."""
@marshal_with(fields.parameters_fields)
def get(self, installed_app: InstalledApp):
"""Retrieve app parameters."""
app_model = installed_app.app
@ -37,7 +34,8 @@ class AppParameterApi(InstalledAppResource):
user_input_form = features_dict.get("user_input_form", [])
return get_parameters_from_feature_dict(features_dict=features_dict, user_input_form=user_input_form)
parameters = get_parameters_from_feature_dict(features_dict=features_dict, user_input_form=user_input_form)
return fields.Parameters.model_validate(parameters).model_dump(mode="json")
@console_ns.route("/installed-apps/<uuid:installed_app_id>/meta", endpoint="installed_app_meta")

View File

@ -1,14 +1,14 @@
from flask import request
from flask_restx import fields, marshal_with
from pydantic import BaseModel, Field
from pydantic import BaseModel, Field, TypeAdapter
from werkzeug.exceptions import NotFound
from controllers.common.schema import register_schema_models
from controllers.console import console_ns
from controllers.console.explore.error import NotCompletionAppError
from controllers.console.explore.wraps import InstalledAppResource
from fields.conversation_fields import message_file_fields
from libs.helper import TimestampField, UUIDStrOrEmpty
from fields.conversation_fields import ResultResponse
from fields.message_fields import SavedMessageInfiniteScrollPagination, SavedMessageItem
from libs.helper import UUIDStrOrEmpty
from libs.login import current_account_with_tenant
from services.errors.message import MessageNotExistsError
from services.saved_message_service import SavedMessageService
@ -26,28 +26,8 @@ class SavedMessageCreatePayload(BaseModel):
register_schema_models(console_ns, SavedMessageListQuery, SavedMessageCreatePayload)
feedback_fields = {"rating": fields.String}
message_fields = {
"id": fields.String,
"inputs": fields.Raw,
"query": fields.String,
"answer": fields.String,
"message_files": fields.List(fields.Nested(message_file_fields)),
"feedback": fields.Nested(feedback_fields, attribute="user_feedback", allow_null=True),
"created_at": TimestampField,
}
@console_ns.route("/installed-apps/<uuid:installed_app_id>/saved-messages", endpoint="installed_app_saved_messages")
class SavedMessageListApi(InstalledAppResource):
saved_message_infinite_scroll_pagination_fields = {
"limit": fields.Integer,
"has_more": fields.Boolean,
"data": fields.List(fields.Nested(message_fields)),
}
@marshal_with(saved_message_infinite_scroll_pagination_fields)
@console_ns.expect(console_ns.models[SavedMessageListQuery.__name__])
def get(self, installed_app):
current_user, _ = current_account_with_tenant()
@ -57,12 +37,19 @@ class SavedMessageListApi(InstalledAppResource):
args = SavedMessageListQuery.model_validate(request.args.to_dict())
return SavedMessageService.pagination_by_last_id(
pagination = SavedMessageService.pagination_by_last_id(
app_model,
current_user,
str(args.last_id) if args.last_id else None,
args.limit,
)
adapter = TypeAdapter(SavedMessageItem)
items = [adapter.validate_python(message, from_attributes=True) for message in pagination.data]
return SavedMessageInfiniteScrollPagination(
limit=pagination.limit,
has_more=pagination.has_more,
data=items,
).model_dump(mode="json")
@console_ns.expect(console_ns.models[SavedMessageCreatePayload.__name__])
def post(self, installed_app):
@ -78,7 +65,7 @@ class SavedMessageListApi(InstalledAppResource):
except MessageNotExistsError:
raise NotFound("Message Not Exists.")
return {"result": "success"}
return ResultResponse(result="success").model_dump(mode="json")
@console_ns.route(
@ -96,4 +83,4 @@ class SavedMessageApi(InstalledAppResource):
SavedMessageService.delete(app_model, current_user, message_id)
return {"result": "success"}, 204
return ResultResponse(result="success").model_dump(mode="json"), 204

View File

@ -1,7 +1,7 @@
from typing import Literal
from flask import request
from flask_restx import Resource, marshal_with
from flask_restx import Resource
from werkzeug.exceptions import Forbidden
import services
@ -15,18 +15,21 @@ from controllers.common.errors import (
TooManyFilesError,
UnsupportedFileTypeError,
)
from controllers.common.schema import register_schema_models
from controllers.console.wraps import (
account_initialization_required,
cloud_edition_billing_resource_check,
setup_required,
)
from extensions.ext_database import db
from fields.file_fields import file_fields, upload_config_fields
from fields.file_fields import FileResponse, UploadConfig
from libs.login import current_account_with_tenant, login_required
from services.file_service import FileService
from . import console_ns
register_schema_models(console_ns, UploadConfig, FileResponse)
PREVIEW_WORDS_LIMIT = 3000
@ -35,26 +38,27 @@ class FileApi(Resource):
@setup_required
@login_required
@account_initialization_required
@marshal_with(upload_config_fields)
@console_ns.response(200, "Success", console_ns.models[UploadConfig.__name__])
def get(self):
return {
"file_size_limit": dify_config.UPLOAD_FILE_SIZE_LIMIT,
"batch_count_limit": dify_config.UPLOAD_FILE_BATCH_LIMIT,
"file_upload_limit": dify_config.BATCH_UPLOAD_LIMIT,
"image_file_size_limit": dify_config.UPLOAD_IMAGE_FILE_SIZE_LIMIT,
"video_file_size_limit": dify_config.UPLOAD_VIDEO_FILE_SIZE_LIMIT,
"audio_file_size_limit": dify_config.UPLOAD_AUDIO_FILE_SIZE_LIMIT,
"workflow_file_upload_limit": dify_config.WORKFLOW_FILE_UPLOAD_LIMIT,
"image_file_batch_limit": dify_config.IMAGE_FILE_BATCH_LIMIT,
"single_chunk_attachment_limit": dify_config.SINGLE_CHUNK_ATTACHMENT_LIMIT,
"attachment_image_file_size_limit": dify_config.ATTACHMENT_IMAGE_FILE_SIZE_LIMIT,
}, 200
config = UploadConfig(
file_size_limit=dify_config.UPLOAD_FILE_SIZE_LIMIT,
batch_count_limit=dify_config.UPLOAD_FILE_BATCH_LIMIT,
file_upload_limit=dify_config.BATCH_UPLOAD_LIMIT,
image_file_size_limit=dify_config.UPLOAD_IMAGE_FILE_SIZE_LIMIT,
video_file_size_limit=dify_config.UPLOAD_VIDEO_FILE_SIZE_LIMIT,
audio_file_size_limit=dify_config.UPLOAD_AUDIO_FILE_SIZE_LIMIT,
workflow_file_upload_limit=dify_config.WORKFLOW_FILE_UPLOAD_LIMIT,
image_file_batch_limit=dify_config.IMAGE_FILE_BATCH_LIMIT,
single_chunk_attachment_limit=dify_config.SINGLE_CHUNK_ATTACHMENT_LIMIT,
attachment_image_file_size_limit=dify_config.ATTACHMENT_IMAGE_FILE_SIZE_LIMIT,
)
return config.model_dump(mode="json"), 200
@setup_required
@login_required
@account_initialization_required
@marshal_with(file_fields)
@cloud_edition_billing_resource_check("documents")
@console_ns.response(201, "File uploaded successfully", console_ns.models[FileResponse.__name__])
def post(self):
current_user, _ = current_account_with_tenant()
source_str = request.form.get("source")
@ -90,7 +94,8 @@ class FileApi(Resource):
except services.errors.file.BlockedFileExtensionError as blocked_extension_error:
raise BlockedFileExtensionError(blocked_extension_error.description)
return upload_file, 201
response = FileResponse.model_validate(upload_file, from_attributes=True)
return response.model_dump(mode="json"), 201
@console_ns.route("/files/<uuid:file_id>/preview")

View File

@ -1,7 +1,7 @@
import urllib.parse
import httpx
from flask_restx import Resource, marshal_with
from flask_restx import Resource
from pydantic import BaseModel, Field
import services
@ -11,19 +11,22 @@ from controllers.common.errors import (
RemoteFileUploadError,
UnsupportedFileTypeError,
)
from controllers.common.schema import register_schema_models
from core.file import helpers as file_helpers
from core.helper import ssrf_proxy
from extensions.ext_database import db
from fields.file_fields import file_fields_with_signed_url, remote_file_info_fields
from fields.file_fields import FileWithSignedUrl, RemoteFileInfo
from libs.login import current_account_with_tenant
from services.file_service import FileService
from . import console_ns
register_schema_models(console_ns, RemoteFileInfo, FileWithSignedUrl)
@console_ns.route("/remote-files/<path:url>")
class RemoteFileInfoApi(Resource):
@marshal_with(remote_file_info_fields)
@console_ns.response(200, "Remote file info", console_ns.models[RemoteFileInfo.__name__])
def get(self, url):
decoded_url = urllib.parse.unquote(url)
resp = ssrf_proxy.head(decoded_url)
@ -31,10 +34,11 @@ class RemoteFileInfoApi(Resource):
# failed back to get method
resp = ssrf_proxy.get(decoded_url, timeout=3)
resp.raise_for_status()
return {
"file_type": resp.headers.get("Content-Type", "application/octet-stream"),
"file_length": int(resp.headers.get("Content-Length", 0)),
}
info = RemoteFileInfo(
file_type=resp.headers.get("Content-Type", "application/octet-stream"),
file_length=int(resp.headers.get("Content-Length", 0)),
)
return info.model_dump(mode="json")
class RemoteFileUploadPayload(BaseModel):
@ -50,7 +54,7 @@ console_ns.schema_model(
@console_ns.route("/remote-files/upload")
class RemoteFileUploadApi(Resource):
@console_ns.expect(console_ns.models[RemoteFileUploadPayload.__name__])
@marshal_with(file_fields_with_signed_url)
@console_ns.response(201, "Remote file uploaded", console_ns.models[FileWithSignedUrl.__name__])
def post(self):
args = RemoteFileUploadPayload.model_validate(console_ns.payload)
url = args.url
@ -85,13 +89,14 @@ class RemoteFileUploadApi(Resource):
except services.errors.file.UnsupportedFileTypeError:
raise UnsupportedFileTypeError()
return {
"id": upload_file.id,
"name": upload_file.name,
"size": upload_file.size,
"extension": upload_file.extension,
"url": file_helpers.get_signed_file_url(upload_file_id=upload_file.id),
"mime_type": upload_file.mime_type,
"created_by": upload_file.created_by,
"created_at": upload_file.created_at,
}, 201
payload = FileWithSignedUrl(
id=upload_file.id,
name=upload_file.name,
size=upload_file.size,
extension=upload_file.extension,
url=file_helpers.get_signed_file_url(upload_file_id=upload_file.id),
mime_type=upload_file.mime_type,
created_by=upload_file.created_by,
created_at=int(upload_file.created_at.timestamp()),
)
return payload.model_dump(mode="json"), 201

View File

@ -1,3 +1,5 @@
from __future__ import annotations
from datetime import datetime
from typing import Literal
@ -99,7 +101,7 @@ class AccountPasswordPayload(BaseModel):
repeat_new_password: str
@model_validator(mode="after")
def check_passwords_match(self) -> "AccountPasswordPayload":
def check_passwords_match(self) -> AccountPasswordPayload:
if self.new_password != self.repeat_new_password:
raise RepeatPasswordNotMatchError()
return self

View File

@ -4,12 +4,11 @@ from typing import Any
from flask import make_response, redirect, request
from flask_restx import Resource, reqparse
from pydantic import BaseModel, Field
from pydantic import BaseModel, Field, model_validator
from sqlalchemy.orm import Session
from werkzeug.exceptions import BadRequest, Forbidden
from configs import dify_config
from constants import HIDDEN_VALUE, UNKNOWN_VALUE
from controllers.web.error import NotFoundError
from core.model_runtime.utils.encoders import jsonable_encoder
from core.plugin.entities.plugin_daemon import CredentialType
@ -44,6 +43,12 @@ class TriggerSubscriptionUpdateRequest(BaseModel):
parameters: Mapping[str, Any] | None = Field(default=None, description="The parameters for the subscription")
properties: Mapping[str, Any] | None = Field(default=None, description="The properties for the subscription")
@model_validator(mode="after")
def check_at_least_one_field(self):
if all(v is None for v in (self.name, self.credentials, self.parameters, self.properties)):
raise ValueError("At least one of name, credentials, parameters, or properties must be provided")
return self
class TriggerSubscriptionVerifyRequest(BaseModel):
"""Request payload for verifying subscription credentials."""
@ -333,7 +338,7 @@ class TriggerSubscriptionUpdateApi(Resource):
user = current_user
assert user.current_tenant_id is not None
args = TriggerSubscriptionUpdateRequest.model_validate(console_ns.payload)
request = TriggerSubscriptionUpdateRequest.model_validate(console_ns.payload)
subscription = TriggerProviderService.get_subscription_by_id(
tenant_id=user.current_tenant_id,
@ -345,50 +350,32 @@ class TriggerSubscriptionUpdateApi(Resource):
provider_id = TriggerProviderID(subscription.provider_id)
try:
# rename only
if (
args.name is not None
and args.credentials is None
and args.parameters is None
and args.properties is None
):
# For rename only, just update the name
rename = request.name is not None and not any((request.credentials, request.parameters, request.properties))
# When credential type is UNAUTHORIZED, it indicates the subscription was manually created
# For Manually created subscription, they dont have credentials, parameters
# They only have name and properties(which is input by user)
manually_created = subscription.credential_type == CredentialType.UNAUTHORIZED
if rename or manually_created:
TriggerProviderService.update_trigger_subscription(
tenant_id=user.current_tenant_id,
subscription_id=subscription_id,
name=args.name,
name=request.name,
properties=request.properties,
)
return 200
# rebuild for create automatically by the provider
match subscription.credential_type:
case CredentialType.UNAUTHORIZED:
TriggerProviderService.update_trigger_subscription(
tenant_id=user.current_tenant_id,
subscription_id=subscription_id,
name=args.name,
properties=args.properties,
)
return 200
case CredentialType.API_KEY | CredentialType.OAUTH2:
if args.credentials:
new_credentials: dict[str, Any] = {
key: value if value != HIDDEN_VALUE else subscription.credentials.get(key, UNKNOWN_VALUE)
for key, value in args.credentials.items()
}
else:
new_credentials = subscription.credentials
TriggerProviderService.rebuild_trigger_subscription(
tenant_id=user.current_tenant_id,
name=args.name,
provider_id=provider_id,
subscription_id=subscription_id,
credentials=new_credentials,
parameters=args.parameters or subscription.parameters,
)
return 200
case _:
raise BadRequest("Invalid credential type")
# For the rest cases(API_KEY, OAUTH2)
# we need to call third party provider(e.g. GitHub) to rebuild the subscription
TriggerProviderService.rebuild_trigger_subscription(
tenant_id=user.current_tenant_id,
name=request.name,
provider_id=provider_id,
subscription_id=subscription_id,
credentials=request.credentials or subscription.credentials,
parameters=request.parameters or subscription.parameters,
)
return 200
except ValueError as e:
raise BadRequest(str(e))
except Exception as e:

View File

@ -4,18 +4,18 @@ from flask import request
from flask_restx import Resource
from flask_restx.api import HTTPStatus
from pydantic import BaseModel, Field
from werkzeug.datastructures import FileStorage
from werkzeug.exceptions import Forbidden
import services
from core.file.helpers import verify_plugin_file_signature
from core.tools.tool_file_manager import ToolFileManager
from fields.file_fields import build_file_model
from fields.file_fields import FileResponse
from ..common.errors import (
FileTooLargeError,
UnsupportedFileTypeError,
)
from ..common.schema import register_schema_models
from ..console.wraps import setup_required
from ..files import files_ns
from ..inner_api.plugin.wraps import get_user
@ -35,6 +35,8 @@ files_ns.schema_model(
PluginUploadQuery.__name__, PluginUploadQuery.model_json_schema(ref_template=DEFAULT_REF_TEMPLATE_SWAGGER_2_0)
)
register_schema_models(files_ns, FileResponse)
@files_ns.route("/upload/for-plugin")
class PluginUploadFileApi(Resource):
@ -51,7 +53,7 @@ class PluginUploadFileApi(Resource):
415: "Unsupported file type",
}
)
@files_ns.marshal_with(build_file_model(files_ns), code=HTTPStatus.CREATED)
@files_ns.response(HTTPStatus.CREATED, "File uploaded", files_ns.models[FileResponse.__name__])
def post(self):
"""Upload a file for plugin usage.
@ -69,7 +71,7 @@ class PluginUploadFileApi(Resource):
"""
args = PluginUploadQuery.model_validate(request.args.to_dict(flat=True)) # type: ignore
file: FileStorage | None = request.files.get("file")
file = request.files.get("file")
if file is None:
raise Forbidden("File is required.")
@ -80,8 +82,8 @@ class PluginUploadFileApi(Resource):
user_id = args.user_id
user = get_user(tenant_id, user_id)
filename: str | None = file.filename
mimetype: str | None = file.mimetype
filename = file.filename
mimetype = file.mimetype
if not filename or not mimetype:
raise Forbidden("Invalid request.")
@ -111,22 +113,22 @@ class PluginUploadFileApi(Resource):
preview_url = ToolFileManager.sign_file(tool_file_id=tool_file.id, extension=extension)
# Create a dictionary with all the necessary attributes
result = {
"id": tool_file.id,
"user_id": tool_file.user_id,
"tenant_id": tool_file.tenant_id,
"conversation_id": tool_file.conversation_id,
"file_key": tool_file.file_key,
"mimetype": tool_file.mimetype,
"original_url": tool_file.original_url,
"name": tool_file.name,
"size": tool_file.size,
"mime_type": mimetype,
"extension": extension,
"preview_url": preview_url,
}
result = FileResponse(
id=tool_file.id,
name=tool_file.name,
size=tool_file.size,
extension=extension,
mime_type=mimetype,
preview_url=preview_url,
source_url=tool_file.original_url,
original_url=tool_file.original_url,
user_id=tool_file.user_id,
tenant_id=tool_file.tenant_id,
conversation_id=tool_file.conversation_id,
file_key=tool_file.file_key,
)
return result, 201
return result.model_dump(mode="json"), 201
except services.errors.file.FileTooLargeError as file_too_large_error:
raise FileTooLargeError(file_too_large_error.description)
except services.errors.file.UnsupportedFileTypeError:

View File

@ -1,7 +1,7 @@
from typing import Literal
from flask import request
from flask_restx import Api, Namespace, Resource, fields
from flask_restx import Namespace, Resource, fields
from flask_restx.api import HTTPStatus
from pydantic import BaseModel, Field
@ -92,7 +92,7 @@ annotation_list_fields = {
}
def build_annotation_list_model(api_or_ns: Api | Namespace):
def build_annotation_list_model(api_or_ns: Namespace):
"""Build the annotation list model for the API or Namespace."""
copied_annotation_list_fields = annotation_list_fields.copy()
copied_annotation_list_fields["data"] = fields.List(fields.Nested(build_annotation_model(api_or_ns)))

View File

@ -1,6 +1,6 @@
from flask_restx import Resource
from controllers.common.fields import build_parameters_model
from controllers.common.fields import Parameters
from controllers.service_api import service_api_ns
from controllers.service_api.app.error import AppUnavailableError
from controllers.service_api.wraps import validate_app_token
@ -23,7 +23,6 @@ class AppParameterApi(Resource):
}
)
@validate_app_token
@service_api_ns.marshal_with(build_parameters_model(service_api_ns))
def get(self, app_model: App):
"""Retrieve app parameters.
@ -45,7 +44,8 @@ class AppParameterApi(Resource):
user_input_form = features_dict.get("user_input_form", [])
return get_parameters_from_feature_dict(features_dict=features_dict, user_input_form=user_input_form)
parameters = get_parameters_from_feature_dict(features_dict=features_dict, user_input_form=user_input_form)
return Parameters.model_validate(parameters).model_dump(mode="json")
@service_api_ns.route("/meta")

View File

@ -3,8 +3,7 @@ from uuid import UUID
from flask import request
from flask_restx import Resource
from flask_restx._http import HTTPStatus
from pydantic import BaseModel, Field, field_validator, model_validator
from pydantic import BaseModel, Field, TypeAdapter, field_validator, model_validator
from sqlalchemy.orm import Session
from werkzeug.exceptions import BadRequest, NotFound
@ -16,9 +15,9 @@ from controllers.service_api.wraps import FetchUserArg, WhereisUserArg, validate
from core.app.entities.app_invoke_entities import InvokeFrom
from extensions.ext_database import db
from fields.conversation_fields import (
build_conversation_delete_model,
build_conversation_infinite_scroll_pagination_model,
build_simple_conversation_model,
ConversationDelete,
ConversationInfiniteScrollPagination,
SimpleConversation,
)
from fields.conversation_variable_fields import (
build_conversation_variable_infinite_scroll_pagination_model,
@ -105,7 +104,6 @@ class ConversationApi(Resource):
}
)
@validate_app_token(fetch_user_arg=FetchUserArg(fetch_from=WhereisUserArg.QUERY))
@service_api_ns.marshal_with(build_conversation_infinite_scroll_pagination_model(service_api_ns))
def get(self, app_model: App, end_user: EndUser):
"""List all conversations for the current user.
@ -120,7 +118,7 @@ class ConversationApi(Resource):
try:
with Session(db.engine) as session:
return ConversationService.pagination_by_last_id(
pagination = ConversationService.pagination_by_last_id(
session=session,
app_model=app_model,
user=end_user,
@ -129,6 +127,13 @@ class ConversationApi(Resource):
invoke_from=InvokeFrom.SERVICE_API,
sort_by=query_args.sort_by,
)
adapter = TypeAdapter(SimpleConversation)
conversations = [adapter.validate_python(item, from_attributes=True) for item in pagination.data]
return ConversationInfiniteScrollPagination(
limit=pagination.limit,
has_more=pagination.has_more,
data=conversations,
).model_dump(mode="json")
except services.errors.conversation.LastConversationNotExistsError:
raise NotFound("Last Conversation Not Exists.")
@ -146,7 +151,6 @@ class ConversationDetailApi(Resource):
}
)
@validate_app_token(fetch_user_arg=FetchUserArg(fetch_from=WhereisUserArg.JSON))
@service_api_ns.marshal_with(build_conversation_delete_model(service_api_ns), code=HTTPStatus.NO_CONTENT)
def delete(self, app_model: App, end_user: EndUser, c_id):
"""Delete a specific conversation."""
app_mode = AppMode.value_of(app_model.mode)
@ -159,7 +163,7 @@ class ConversationDetailApi(Resource):
ConversationService.delete(app_model, conversation_id, end_user)
except services.errors.conversation.ConversationNotExistsError:
raise NotFound("Conversation Not Exists.")
return {"result": "success"}, 204
return ConversationDelete(result="success").model_dump(mode="json"), 204
@service_api_ns.route("/conversations/<uuid:c_id>/name")
@ -176,7 +180,6 @@ class ConversationRenameApi(Resource):
}
)
@validate_app_token(fetch_user_arg=FetchUserArg(fetch_from=WhereisUserArg.JSON))
@service_api_ns.marshal_with(build_simple_conversation_model(service_api_ns))
def post(self, app_model: App, end_user: EndUser, c_id):
"""Rename a conversation or auto-generate a name."""
app_mode = AppMode.value_of(app_model.mode)
@ -188,7 +191,14 @@ class ConversationRenameApi(Resource):
payload = ConversationRenamePayload.model_validate(service_api_ns.payload or {})
try:
return ConversationService.rename(app_model, conversation_id, end_user, payload.name, payload.auto_generate)
conversation = ConversationService.rename(
app_model, conversation_id, end_user, payload.name, payload.auto_generate
)
return (
TypeAdapter(SimpleConversation)
.validate_python(conversation, from_attributes=True)
.model_dump(mode="json")
)
except services.errors.conversation.ConversationNotExistsError:
raise NotFound("Conversation Not Exists.")

View File

@ -10,13 +10,16 @@ from controllers.common.errors import (
TooManyFilesError,
UnsupportedFileTypeError,
)
from controllers.common.schema import register_schema_models
from controllers.service_api import service_api_ns
from controllers.service_api.wraps import FetchUserArg, WhereisUserArg, validate_app_token
from extensions.ext_database import db
from fields.file_fields import build_file_model
from fields.file_fields import FileResponse
from models import App, EndUser
from services.file_service import FileService
register_schema_models(service_api_ns, FileResponse)
@service_api_ns.route("/files/upload")
class FileApi(Resource):
@ -31,8 +34,8 @@ class FileApi(Resource):
415: "Unsupported file type",
}
)
@validate_app_token(fetch_user_arg=FetchUserArg(fetch_from=WhereisUserArg.FORM))
@service_api_ns.marshal_with(build_file_model(service_api_ns), code=HTTPStatus.CREATED)
@validate_app_token(fetch_user_arg=FetchUserArg(fetch_from=WhereisUserArg.FORM)) # type: ignore
@service_api_ns.response(HTTPStatus.CREATED, "File uploaded", service_api_ns.models[FileResponse.__name__])
def post(self, app_model: App, end_user: EndUser):
"""Upload a file for use in conversations.
@ -64,4 +67,5 @@ class FileApi(Resource):
except services.errors.file.UnsupportedFileTypeError:
raise UnsupportedFileTypeError()
return upload_file, 201
response = FileResponse.model_validate(upload_file, from_attributes=True)
return response.model_dump(mode="json"), 201

View File

@ -1,11 +1,10 @@
import json
import logging
from typing import Literal
from uuid import UUID
from flask import request
from flask_restx import Namespace, Resource, fields
from pydantic import BaseModel, Field
from flask_restx import Resource
from pydantic import BaseModel, Field, TypeAdapter
from werkzeug.exceptions import BadRequest, InternalServerError, NotFound
import services
@ -14,10 +13,8 @@ from controllers.service_api import service_api_ns
from controllers.service_api.app.error import NotChatAppError
from controllers.service_api.wraps import FetchUserArg, WhereisUserArg, validate_app_token
from core.app.entities.app_invoke_entities import InvokeFrom
from fields.conversation_fields import build_message_file_model
from fields.message_fields import build_agent_thought_model, build_feedback_model
from fields.raws import FilesContainedField
from libs.helper import TimestampField
from fields.conversation_fields import ResultResponse
from fields.message_fields import MessageInfiniteScrollPagination, MessageListItem
from models.model import App, AppMode, EndUser
from services.errors.message import (
FirstMessageNotExistsError,
@ -48,50 +45,6 @@ class FeedbackListQuery(BaseModel):
register_schema_models(service_api_ns, MessageListQuery, MessageFeedbackPayload, FeedbackListQuery)
def build_message_model(api_or_ns: Namespace):
"""Build the message model for the API or Namespace."""
# First build the nested models
feedback_model = build_feedback_model(api_or_ns)
agent_thought_model = build_agent_thought_model(api_or_ns)
message_file_model = build_message_file_model(api_or_ns)
# Then build the message fields with nested models
message_fields = {
"id": fields.String,
"conversation_id": fields.String,
"parent_message_id": fields.String,
"inputs": FilesContainedField,
"query": fields.String,
"answer": fields.String(attribute="re_sign_file_url_answer"),
"message_files": fields.List(fields.Nested(message_file_model)),
"feedback": fields.Nested(feedback_model, attribute="user_feedback", allow_null=True),
"retriever_resources": fields.Raw(
attribute=lambda obj: json.loads(obj.message_metadata).get("retriever_resources", [])
if obj.message_metadata
else []
),
"created_at": TimestampField,
"agent_thoughts": fields.List(fields.Nested(agent_thought_model)),
"status": fields.String,
"error": fields.String,
"generation_detail": fields.Raw,
}
return api_or_ns.model("Message", message_fields)
def build_message_infinite_scroll_pagination_model(api_or_ns: Namespace):
"""Build the message infinite scroll pagination model for the API or Namespace."""
# Build the nested message model first
message_model = build_message_model(api_or_ns)
message_infinite_scroll_pagination_fields = {
"limit": fields.Integer,
"has_more": fields.Boolean,
"data": fields.List(fields.Nested(message_model)),
}
return api_or_ns.model("MessageInfiniteScrollPagination", message_infinite_scroll_pagination_fields)
@service_api_ns.route("/messages")
class MessageListApi(Resource):
@service_api_ns.expect(service_api_ns.models[MessageListQuery.__name__])
@ -105,7 +58,6 @@ class MessageListApi(Resource):
}
)
@validate_app_token(fetch_user_arg=FetchUserArg(fetch_from=WhereisUserArg.QUERY))
@service_api_ns.marshal_with(build_message_infinite_scroll_pagination_model(service_api_ns))
def get(self, app_model: App, end_user: EndUser):
"""List messages in a conversation.
@ -120,9 +72,16 @@ class MessageListApi(Resource):
first_id = str(query_args.first_id) if query_args.first_id else None
try:
return MessageService.pagination_by_first_id(
pagination = MessageService.pagination_by_first_id(
app_model, end_user, conversation_id, first_id, query_args.limit
)
adapter = TypeAdapter(MessageListItem)
items = [adapter.validate_python(message, from_attributes=True) for message in pagination.data]
return MessageInfiniteScrollPagination(
limit=pagination.limit,
has_more=pagination.has_more,
data=items,
).model_dump(mode="json")
except services.errors.conversation.ConversationNotExistsError:
raise NotFound("Conversation Not Exists.")
except FirstMessageNotExistsError:
@ -163,7 +122,7 @@ class MessageFeedbackApi(Resource):
except MessageNotExistsError:
raise NotFound("Message Not Exists.")
return {"result": "success"}
return ResultResponse(result="success").model_dump(mode="json")
@service_api_ns.route("/app/feedbacks")

View File

@ -1,7 +1,7 @@
from flask_restx import Resource
from werkzeug.exceptions import Forbidden
from controllers.common.fields import build_site_model
from controllers.common.fields import Site as SiteResponse
from controllers.service_api import service_api_ns
from controllers.service_api.wraps import validate_app_token
from extensions.ext_database import db
@ -23,7 +23,6 @@ class AppSiteApi(Resource):
}
)
@validate_app_token
@service_api_ns.marshal_with(build_site_model(service_api_ns))
def get(self, app_model: App):
"""Retrieve app site info.
@ -38,4 +37,4 @@ class AppSiteApi(Resource):
if app_model.tenant.status == TenantStatus.ARCHIVE:
raise Forbidden()
return site
return SiteResponse.model_validate(site).model_dump(mode="json")

View File

@ -3,7 +3,7 @@ from typing import Any, Literal
from dateutil.parser import isoparse
from flask import request
from flask_restx import Api, Namespace, Resource, fields
from flask_restx import Namespace, Resource, fields
from pydantic import BaseModel, Field
from sqlalchemy.orm import Session, sessionmaker
from werkzeug.exceptions import BadRequest, InternalServerError, NotFound
@ -78,7 +78,7 @@ workflow_run_fields = {
}
def build_workflow_run_model(api_or_ns: Api | Namespace):
def build_workflow_run_model(api_or_ns: Namespace):
"""Build the workflow run model for the API or Namespace."""
return api_or_ns.model("WorkflowRun", workflow_run_fields)

View File

@ -24,7 +24,7 @@ class HitTestingApi(DatasetApiResource, DatasetsHitTestingBase):
dataset_id_str = str(dataset_id)
dataset = self.get_and_validate_dataset(dataset_id_str)
args = self.parse_args()
args = self.parse_args(service_api_ns.payload)
self.hit_testing_args_check(args)
return self.perform_hit_testing(dataset, args)

View File

@ -174,7 +174,7 @@ class PipelineRunApi(DatasetApiResource):
pipeline=pipeline,
user=current_user,
args=payload.model_dump(),
invoke_from=InvokeFrom.PUBLISHED if payload.is_published else InvokeFrom.DEBUGGER,
invoke_from=InvokeFrom.PUBLISHED_PIPELINE if payload.is_published else InvokeFrom.DEBUGGER,
streaming=payload.response_mode == "streaming",
)

View File

@ -1,7 +1,7 @@
import logging
from flask import request
from flask_restx import Resource, marshal_with
from flask_restx import Resource
from pydantic import BaseModel, ConfigDict, Field
from werkzeug.exceptions import Unauthorized
@ -50,7 +50,6 @@ class AppParameterApi(WebApiResource):
500: "Internal Server Error",
}
)
@marshal_with(fields.parameters_fields)
def get(self, app_model: App, end_user):
"""Retrieve app parameters."""
if app_model.mode in {AppMode.ADVANCED_CHAT, AppMode.WORKFLOW}:
@ -69,7 +68,8 @@ class AppParameterApi(WebApiResource):
user_input_form = features_dict.get("user_input_form", [])
return get_parameters_from_feature_dict(features_dict=features_dict, user_input_form=user_input_form)
parameters = get_parameters_from_feature_dict(features_dict=features_dict, user_input_form=user_input_form)
return fields.Parameters.model_validate(parameters).model_dump(mode="json")
@web_ns.route("/meta")

View File

@ -1,14 +1,21 @@
from flask_restx import fields, marshal_with, reqparse
from flask_restx.inputs import int_range
from typing import Literal
from flask import request
from pydantic import BaseModel, Field, TypeAdapter, field_validator, model_validator
from sqlalchemy.orm import Session
from werkzeug.exceptions import NotFound
from controllers.common.schema import register_schema_models
from controllers.web import web_ns
from controllers.web.error import NotChatAppError
from controllers.web.wraps import WebApiResource
from core.app.entities.app_invoke_entities import InvokeFrom
from extensions.ext_database import db
from fields.conversation_fields import conversation_infinite_scroll_pagination_fields, simple_conversation_fields
from fields.conversation_fields import (
ConversationInfiniteScrollPagination,
ResultResponse,
SimpleConversation,
)
from libs.helper import uuid_value
from models.model import AppMode
from services.conversation_service import ConversationService
@ -16,6 +23,35 @@ from services.errors.conversation import ConversationNotExistsError, LastConvers
from services.web_conversation_service import WebConversationService
class ConversationListQuery(BaseModel):
last_id: str | None = None
limit: int = Field(default=20, ge=1, le=100)
pinned: bool | None = None
sort_by: Literal["created_at", "-created_at", "updated_at", "-updated_at"] = "-updated_at"
@field_validator("last_id")
@classmethod
def validate_last_id(cls, value: str | None) -> str | None:
if value is None:
return value
return uuid_value(value)
class ConversationRenamePayload(BaseModel):
name: str | None = None
auto_generate: bool = False
@model_validator(mode="after")
def validate_name_requirement(self):
if not self.auto_generate:
if self.name is None or not self.name.strip():
raise ValueError("name is required when auto_generate is false")
return self
register_schema_models(web_ns, ConversationListQuery, ConversationRenamePayload)
@web_ns.route("/conversations")
class ConversationListApi(WebApiResource):
@web_ns.doc("Get Conversation List")
@ -54,54 +90,39 @@ class ConversationListApi(WebApiResource):
500: "Internal Server Error",
}
)
@marshal_with(conversation_infinite_scroll_pagination_fields)
def get(self, app_model, end_user):
app_mode = AppMode.value_of(app_model.mode)
if app_mode not in {AppMode.CHAT, AppMode.AGENT_CHAT, AppMode.ADVANCED_CHAT}:
raise NotChatAppError()
parser = (
reqparse.RequestParser()
.add_argument("last_id", type=uuid_value, location="args")
.add_argument("limit", type=int_range(1, 100), required=False, default=20, location="args")
.add_argument("pinned", type=str, choices=["true", "false", None], location="args")
.add_argument(
"sort_by",
type=str,
choices=["created_at", "-created_at", "updated_at", "-updated_at"],
required=False,
default="-updated_at",
location="args",
)
)
args = parser.parse_args()
pinned = None
if "pinned" in args and args["pinned"] is not None:
pinned = args["pinned"] == "true"
raw_args = request.args.to_dict()
query = ConversationListQuery.model_validate(raw_args)
try:
with Session(db.engine) as session:
return WebConversationService.pagination_by_last_id(
pagination = WebConversationService.pagination_by_last_id(
session=session,
app_model=app_model,
user=end_user,
last_id=args["last_id"],
limit=args["limit"],
last_id=query.last_id,
limit=query.limit,
invoke_from=InvokeFrom.WEB_APP,
pinned=pinned,
sort_by=args["sort_by"],
pinned=query.pinned,
sort_by=query.sort_by,
)
adapter = TypeAdapter(SimpleConversation)
conversations = [adapter.validate_python(item, from_attributes=True) for item in pagination.data]
return ConversationInfiniteScrollPagination(
limit=pagination.limit,
has_more=pagination.has_more,
data=conversations,
).model_dump(mode="json")
except LastConversationNotExistsError:
raise NotFound("Last Conversation Not Exists.")
@web_ns.route("/conversations/<uuid:c_id>")
class ConversationApi(WebApiResource):
delete_response_fields = {
"result": fields.String,
}
@web_ns.doc("Delete Conversation")
@web_ns.doc(description="Delete a specific conversation.")
@web_ns.doc(params={"c_id": {"description": "Conversation UUID", "type": "string", "required": True}})
@ -115,7 +136,6 @@ class ConversationApi(WebApiResource):
500: "Internal Server Error",
}
)
@marshal_with(delete_response_fields)
def delete(self, app_model, end_user, c_id):
app_mode = AppMode.value_of(app_model.mode)
if app_mode not in {AppMode.CHAT, AppMode.AGENT_CHAT, AppMode.ADVANCED_CHAT}:
@ -126,7 +146,7 @@ class ConversationApi(WebApiResource):
ConversationService.delete(app_model, conversation_id, end_user)
except ConversationNotExistsError:
raise NotFound("Conversation Not Exists.")
return {"result": "success"}, 204
return ResultResponse(result="success").model_dump(mode="json"), 204
@web_ns.route("/conversations/<uuid:c_id>/name")
@ -155,7 +175,6 @@ class ConversationRenameApi(WebApiResource):
500: "Internal Server Error",
}
)
@marshal_with(simple_conversation_fields)
def post(self, app_model, end_user, c_id):
app_mode = AppMode.value_of(app_model.mode)
if app_mode not in {AppMode.CHAT, AppMode.AGENT_CHAT, AppMode.ADVANCED_CHAT}:
@ -163,25 +182,23 @@ class ConversationRenameApi(WebApiResource):
conversation_id = str(c_id)
parser = (
reqparse.RequestParser()
.add_argument("name", type=str, required=False, location="json")
.add_argument("auto_generate", type=bool, required=False, default=False, location="json")
)
args = parser.parse_args()
payload = ConversationRenamePayload.model_validate(web_ns.payload or {})
try:
return ConversationService.rename(app_model, conversation_id, end_user, args["name"], args["auto_generate"])
conversation = ConversationService.rename(
app_model, conversation_id, end_user, payload.name, payload.auto_generate
)
return (
TypeAdapter(SimpleConversation)
.validate_python(conversation, from_attributes=True)
.model_dump(mode="json")
)
except ConversationNotExistsError:
raise NotFound("Conversation Not Exists.")
@web_ns.route("/conversations/<uuid:c_id>/pin")
class ConversationPinApi(WebApiResource):
pin_response_fields = {
"result": fields.String,
}
@web_ns.doc("Pin Conversation")
@web_ns.doc(description="Pin a specific conversation to keep it at the top of the list.")
@web_ns.doc(params={"c_id": {"description": "Conversation UUID", "type": "string", "required": True}})
@ -195,7 +212,6 @@ class ConversationPinApi(WebApiResource):
500: "Internal Server Error",
}
)
@marshal_with(pin_response_fields)
def patch(self, app_model, end_user, c_id):
app_mode = AppMode.value_of(app_model.mode)
if app_mode not in {AppMode.CHAT, AppMode.AGENT_CHAT, AppMode.ADVANCED_CHAT}:
@ -208,15 +224,11 @@ class ConversationPinApi(WebApiResource):
except ConversationNotExistsError:
raise NotFound("Conversation Not Exists.")
return {"result": "success"}
return ResultResponse(result="success").model_dump(mode="json")
@web_ns.route("/conversations/<uuid:c_id>/unpin")
class ConversationUnPinApi(WebApiResource):
unpin_response_fields = {
"result": fields.String,
}
@web_ns.doc("Unpin Conversation")
@web_ns.doc(description="Unpin a specific conversation to remove it from the top of the list.")
@web_ns.doc(params={"c_id": {"description": "Conversation UUID", "type": "string", "required": True}})
@ -230,7 +242,6 @@ class ConversationUnPinApi(WebApiResource):
500: "Internal Server Error",
}
)
@marshal_with(unpin_response_fields)
def patch(self, app_model, end_user, c_id):
app_mode = AppMode.value_of(app_model.mode)
if app_mode not in {AppMode.CHAT, AppMode.AGENT_CHAT, AppMode.ADVANCED_CHAT}:
@ -239,4 +250,4 @@ class ConversationUnPinApi(WebApiResource):
conversation_id = str(c_id)
WebConversationService.unpin(app_model, conversation_id, end_user)
return {"result": "success"}
return ResultResponse(result="success").model_dump(mode="json")

View File

@ -1,5 +1,4 @@
from flask import request
from flask_restx import marshal_with
import services
from controllers.common.errors import (
@ -9,12 +8,15 @@ from controllers.common.errors import (
TooManyFilesError,
UnsupportedFileTypeError,
)
from controllers.common.schema import register_schema_models
from controllers.web import web_ns
from controllers.web.wraps import WebApiResource
from extensions.ext_database import db
from fields.file_fields import build_file_model
from fields.file_fields import FileResponse
from services.file_service import FileService
register_schema_models(web_ns, FileResponse)
@web_ns.route("/files/upload")
class FileApi(WebApiResource):
@ -28,7 +30,7 @@ class FileApi(WebApiResource):
415: "Unsupported file type",
}
)
@marshal_with(build_file_model(web_ns))
@web_ns.response(201, "File uploaded successfully", web_ns.models[FileResponse.__name__])
def post(self, app_model, end_user):
"""Upload a file for use in web applications.
@ -81,4 +83,5 @@ class FileApi(WebApiResource):
except services.errors.file.UnsupportedFileTypeError:
raise UnsupportedFileTypeError()
return upload_file, 201
response = FileResponse.model_validate(upload_file, from_attributes=True)
return response.model_dump(mode="json"), 201

View File

@ -2,8 +2,7 @@ import logging
from typing import Literal
from flask import request
from flask_restx import fields, marshal_with
from pydantic import BaseModel, Field, field_validator
from pydantic import BaseModel, Field, TypeAdapter, field_validator
from werkzeug.exceptions import InternalServerError, NotFound
from controllers.common.schema import register_schema_models
@ -22,11 +21,10 @@ from controllers.web.wraps import WebApiResource
from core.app.entities.app_invoke_entities import InvokeFrom
from core.errors.error import ModelCurrentlyNotSupportError, ProviderTokenNotInitError, QuotaExceededError
from core.model_runtime.errors.invoke import InvokeError
from fields.conversation_fields import message_file_fields
from fields.message_fields import agent_thought_fields, feedback_fields, retriever_resource_fields
from fields.raws import FilesContainedField
from fields.conversation_fields import ResultResponse
from fields.message_fields import SuggestedQuestionsResponse, WebMessageInfiniteScrollPagination, WebMessageListItem
from libs import helper
from libs.helper import TimestampField, uuid_value
from libs.helper import uuid_value
from models.model import AppMode
from services.app_generate_service import AppGenerateService
from services.errors.app import MoreLikeThisDisabledError
@ -70,30 +68,6 @@ register_schema_models(web_ns, MessageListQuery, MessageFeedbackPayload, Message
@web_ns.route("/messages")
class MessageListApi(WebApiResource):
message_fields = {
"id": fields.String,
"conversation_id": fields.String,
"parent_message_id": fields.String,
"inputs": FilesContainedField,
"query": fields.String,
"answer": fields.String(attribute="re_sign_file_url_answer"),
"message_files": fields.List(fields.Nested(message_file_fields)),
"feedback": fields.Nested(feedback_fields, attribute="user_feedback", allow_null=True),
"retriever_resources": fields.List(fields.Nested(retriever_resource_fields)),
"created_at": TimestampField,
"agent_thoughts": fields.List(fields.Nested(agent_thought_fields)),
"metadata": fields.Raw(attribute="message_metadata_dict"),
"status": fields.String,
"error": fields.String,
"generation_detail": fields.Raw,
}
message_infinite_scroll_pagination_fields = {
"limit": fields.Integer,
"has_more": fields.Boolean,
"data": fields.List(fields.Nested(message_fields)),
}
@web_ns.doc("Get Message List")
@web_ns.doc(description="Retrieve paginated list of messages from a conversation in a chat application.")
@web_ns.doc(
@ -122,7 +96,6 @@ class MessageListApi(WebApiResource):
500: "Internal Server Error",
}
)
@marshal_with(message_infinite_scroll_pagination_fields)
def get(self, app_model, end_user):
app_mode = AppMode.value_of(app_model.mode)
if app_mode not in {AppMode.CHAT, AppMode.AGENT_CHAT, AppMode.ADVANCED_CHAT}:
@ -132,9 +105,16 @@ class MessageListApi(WebApiResource):
query = MessageListQuery.model_validate(raw_args)
try:
return MessageService.pagination_by_first_id(
pagination = MessageService.pagination_by_first_id(
app_model, end_user, query.conversation_id, query.first_id, query.limit
)
adapter = TypeAdapter(WebMessageListItem)
items = [adapter.validate_python(message, from_attributes=True) for message in pagination.data]
return WebMessageInfiniteScrollPagination(
limit=pagination.limit,
has_more=pagination.has_more,
data=items,
).model_dump(mode="json")
except ConversationNotExistsError:
raise NotFound("Conversation Not Exists.")
except FirstMessageNotExistsError:
@ -143,10 +123,6 @@ class MessageListApi(WebApiResource):
@web_ns.route("/messages/<uuid:message_id>/feedbacks")
class MessageFeedbackApi(WebApiResource):
feedback_response_fields = {
"result": fields.String,
}
@web_ns.doc("Create Message Feedback")
@web_ns.doc(description="Submit feedback (like/dislike) for a specific message.")
@web_ns.doc(params={"message_id": {"description": "Message UUID", "type": "string", "required": True}})
@ -171,7 +147,6 @@ class MessageFeedbackApi(WebApiResource):
500: "Internal Server Error",
}
)
@marshal_with(feedback_response_fields)
def post(self, app_model, end_user, message_id):
message_id = str(message_id)
@ -188,7 +163,7 @@ class MessageFeedbackApi(WebApiResource):
except MessageNotExistsError:
raise NotFound("Message Not Exists.")
return {"result": "success"}
return ResultResponse(result="success").model_dump(mode="json")
@web_ns.route("/messages/<uuid:message_id>/more-like-this")
@ -248,10 +223,6 @@ class MessageMoreLikeThisApi(WebApiResource):
@web_ns.route("/messages/<uuid:message_id>/suggested-questions")
class MessageSuggestedQuestionApi(WebApiResource):
suggested_questions_response_fields = {
"data": fields.List(fields.String),
}
@web_ns.doc("Get Suggested Questions")
@web_ns.doc(description="Get suggested follow-up questions after a message (chat apps only).")
@web_ns.doc(params={"message_id": {"description": "Message UUID", "type": "string", "required": True}})
@ -265,7 +236,6 @@ class MessageSuggestedQuestionApi(WebApiResource):
500: "Internal Server Error",
}
)
@marshal_with(suggested_questions_response_fields)
def get(self, app_model, end_user, message_id):
app_mode = AppMode.value_of(app_model.mode)
if app_mode not in {AppMode.CHAT, AppMode.AGENT_CHAT, AppMode.ADVANCED_CHAT}:
@ -278,7 +248,6 @@ class MessageSuggestedQuestionApi(WebApiResource):
app_model=app_model, user=end_user, message_id=message_id, invoke_from=InvokeFrom.WEB_APP
)
# questions is a list of strings, not a list of Message objects
# so we can directly return it
except MessageNotExistsError:
raise NotFound("Message not found")
except ConversationNotExistsError:
@ -297,4 +266,4 @@ class MessageSuggestedQuestionApi(WebApiResource):
logger.exception("internal server error.")
raise InternalServerError()
return {"data": questions}
return SuggestedQuestionsResponse(data=questions).model_dump(mode="json")

View File

@ -1,7 +1,6 @@
import urllib.parse
import httpx
from flask_restx import marshal_with
from pydantic import BaseModel, Field, HttpUrl
import services
@ -14,7 +13,7 @@ from controllers.common.errors import (
from core.file import helpers as file_helpers
from core.helper import ssrf_proxy
from extensions.ext_database import db
from fields.file_fields import build_file_with_signed_url_model, build_remote_file_info_model
from fields.file_fields import FileWithSignedUrl, RemoteFileInfo
from services.file_service import FileService
from ..common.schema import register_schema_models
@ -26,7 +25,7 @@ class RemoteFileUploadPayload(BaseModel):
url: HttpUrl = Field(description="Remote file URL")
register_schema_models(web_ns, RemoteFileUploadPayload)
register_schema_models(web_ns, RemoteFileUploadPayload, RemoteFileInfo, FileWithSignedUrl)
@web_ns.route("/remote-files/<path:url>")
@ -41,7 +40,7 @@ class RemoteFileInfoApi(WebApiResource):
500: "Failed to fetch remote file",
}
)
@marshal_with(build_remote_file_info_model(web_ns))
@web_ns.response(200, "Remote file info", web_ns.models[RemoteFileInfo.__name__])
def get(self, app_model, end_user, url):
"""Get information about a remote file.
@ -65,10 +64,11 @@ class RemoteFileInfoApi(WebApiResource):
# failed back to get method
resp = ssrf_proxy.get(decoded_url, timeout=3)
resp.raise_for_status()
return {
"file_type": resp.headers.get("Content-Type", "application/octet-stream"),
"file_length": int(resp.headers.get("Content-Length", -1)),
}
info = RemoteFileInfo(
file_type=resp.headers.get("Content-Type", "application/octet-stream"),
file_length=int(resp.headers.get("Content-Length", -1)),
)
return info.model_dump(mode="json")
@web_ns.route("/remote-files/upload")
@ -84,7 +84,7 @@ class RemoteFileUploadApi(WebApiResource):
500: "Failed to fetch remote file",
}
)
@marshal_with(build_file_with_signed_url_model(web_ns))
@web_ns.response(201, "Remote file uploaded", web_ns.models[FileWithSignedUrl.__name__])
def post(self, app_model, end_user):
"""Upload a file from a remote URL.
@ -139,13 +139,14 @@ class RemoteFileUploadApi(WebApiResource):
except services.errors.file.UnsupportedFileTypeError:
raise UnsupportedFileTypeError
return {
"id": upload_file.id,
"name": upload_file.name,
"size": upload_file.size,
"extension": upload_file.extension,
"url": file_helpers.get_signed_file_url(upload_file_id=upload_file.id),
"mime_type": upload_file.mime_type,
"created_by": upload_file.created_by,
"created_at": upload_file.created_at,
}, 201
payload1 = FileWithSignedUrl(
id=upload_file.id,
name=upload_file.name,
size=upload_file.size,
extension=upload_file.extension,
url=file_helpers.get_signed_file_url(upload_file_id=upload_file.id),
mime_type=upload_file.mime_type,
created_by=upload_file.created_by,
created_at=int(upload_file.created_at.timestamp()),
)
return payload1.model_dump(mode="json"), 201

View File

@ -1,40 +1,32 @@
from flask_restx import fields, marshal_with, reqparse
from flask_restx.inputs import int_range
from flask import request
from pydantic import BaseModel, Field, TypeAdapter
from werkzeug.exceptions import NotFound
from controllers.common.schema import register_schema_models
from controllers.web import web_ns
from controllers.web.error import NotCompletionAppError
from controllers.web.wraps import WebApiResource
from fields.conversation_fields import message_file_fields
from libs.helper import TimestampField, uuid_value
from fields.conversation_fields import ResultResponse
from fields.message_fields import SavedMessageInfiniteScrollPagination, SavedMessageItem
from libs.helper import UUIDStrOrEmpty
from services.errors.message import MessageNotExistsError
from services.saved_message_service import SavedMessageService
feedback_fields = {"rating": fields.String}
message_fields = {
"id": fields.String,
"inputs": fields.Raw,
"query": fields.String,
"answer": fields.String,
"message_files": fields.List(fields.Nested(message_file_fields)),
"feedback": fields.Nested(feedback_fields, attribute="user_feedback", allow_null=True),
"created_at": TimestampField,
}
class SavedMessageListQuery(BaseModel):
last_id: UUIDStrOrEmpty | None = None
limit: int = Field(default=20, ge=1, le=100)
class SavedMessageCreatePayload(BaseModel):
message_id: UUIDStrOrEmpty
register_schema_models(web_ns, SavedMessageListQuery, SavedMessageCreatePayload)
@web_ns.route("/saved-messages")
class SavedMessageListApi(WebApiResource):
saved_message_infinite_scroll_pagination_fields = {
"limit": fields.Integer,
"has_more": fields.Boolean,
"data": fields.List(fields.Nested(message_fields)),
}
post_response_fields = {
"result": fields.String,
}
@web_ns.doc("Get Saved Messages")
@web_ns.doc(description="Retrieve paginated list of saved messages for a completion application.")
@web_ns.doc(
@ -58,19 +50,21 @@ class SavedMessageListApi(WebApiResource):
500: "Internal Server Error",
}
)
@marshal_with(saved_message_infinite_scroll_pagination_fields)
def get(self, app_model, end_user):
if app_model.mode != "completion":
raise NotCompletionAppError()
parser = (
reqparse.RequestParser()
.add_argument("last_id", type=uuid_value, location="args")
.add_argument("limit", type=int_range(1, 100), required=False, default=20, location="args")
)
args = parser.parse_args()
raw_args = request.args.to_dict()
query = SavedMessageListQuery.model_validate(raw_args)
return SavedMessageService.pagination_by_last_id(app_model, end_user, args["last_id"], args["limit"])
pagination = SavedMessageService.pagination_by_last_id(app_model, end_user, query.last_id, query.limit)
adapter = TypeAdapter(SavedMessageItem)
items = [adapter.validate_python(message, from_attributes=True) for message in pagination.data]
return SavedMessageInfiniteScrollPagination(
limit=pagination.limit,
has_more=pagination.has_more,
data=items,
).model_dump(mode="json")
@web_ns.doc("Save Message")
@web_ns.doc(description="Save a specific message for later reference.")
@ -89,28 +83,22 @@ class SavedMessageListApi(WebApiResource):
500: "Internal Server Error",
}
)
@marshal_with(post_response_fields)
def post(self, app_model, end_user):
if app_model.mode != "completion":
raise NotCompletionAppError()
parser = reqparse.RequestParser().add_argument("message_id", type=uuid_value, required=True, location="json")
args = parser.parse_args()
payload = SavedMessageCreatePayload.model_validate(web_ns.payload or {})
try:
SavedMessageService.save(app_model, end_user, args["message_id"])
SavedMessageService.save(app_model, end_user, payload.message_id)
except MessageNotExistsError:
raise NotFound("Message Not Exists.")
return {"result": "success"}
return ResultResponse(result="success").model_dump(mode="json")
@web_ns.route("/saved-messages/<uuid:message_id>")
class SavedMessageApi(WebApiResource):
delete_response_fields = {
"result": fields.String,
}
@web_ns.doc("Delete Saved Message")
@web_ns.doc(description="Remove a message from saved messages.")
@web_ns.doc(params={"message_id": {"description": "Message UUID to delete", "type": "string", "required": True}})
@ -124,7 +112,6 @@ class SavedMessageApi(WebApiResource):
500: "Internal Server Error",
}
)
@marshal_with(delete_response_fields)
def delete(self, app_model, end_user, message_id):
message_id = str(message_id)
@ -133,4 +120,4 @@ class SavedMessageApi(WebApiResource):
SavedMessageService.delete(app_model, end_user, message_id)
return {"result": "success"}, 204
return ResultResponse(result="success").model_dump(mode="json"), 204

View File

@ -20,6 +20,8 @@ from core.app.entities.queue_entities import (
QueueTextChunkEvent,
)
from core.app.features.annotation_reply.annotation_reply import AnnotationReplyFeature
from core.app.layers.conversation_variable_persist_layer import ConversationVariablePersistenceLayer
from core.db.session_factory import session_factory
from core.moderation.base import ModerationError
from core.moderation.input_moderation import InputModeration
from core.variables.variables import VariableUnion
@ -40,6 +42,7 @@ from models import Workflow
from models.enums import UserFrom
from models.model import App, Conversation, Message, MessageAnnotation
from models.workflow import ConversationVariable
from services.conversation_variable_updater import ConversationVariableUpdater
logger = logging.getLogger(__name__)
@ -200,6 +203,10 @@ class AdvancedChatAppRunner(WorkflowBasedAppRunner):
)
workflow_entry.graph_engine.layer(persistence_layer)
conversation_variable_layer = ConversationVariablePersistenceLayer(
ConversationVariableUpdater(session_factory.get_session_maker())
)
workflow_entry.graph_engine.layer(conversation_variable_layer)
for layer in self._graph_engine_layers:
workflow_entry.graph_engine.layer(layer)

View File

@ -471,6 +471,25 @@ class AdvancedChatAppGenerateTaskPipeline(GraphRuntimeStateSupport):
if node_finish_resp:
yield node_finish_resp
# For ANSWER nodes, check if we need to send a message_replace event
# Only send if the final output differs from the accumulated task_state.answer
# This happens when variables were updated by variable_assigner during workflow execution
if event.node_type == NodeType.ANSWER and event.outputs:
final_answer = event.outputs.get("answer")
if final_answer is not None and final_answer != self._task_state.answer:
logger.info(
"ANSWER node final output '%s' differs from accumulated answer '%s', sending message_replace event",
final_answer,
self._task_state.answer,
)
# Update the task state answer
self._task_state.answer = str(final_answer)
# Send message_replace event to update the UI
yield self._message_cycle_manager.message_replace_to_stream_response(
answer=str(final_answer),
reason="variable_update",
)
def _handle_node_failed_events(
self,
event: Union[QueueNodeFailedEvent, QueueNodeExceptionEvent],

View File

@ -130,7 +130,7 @@ class PipelineGenerator(BaseAppGenerator):
pipeline=pipeline, workflow=workflow, start_node_id=start_node_id
)
documents: list[Document] = []
if invoke_from == InvokeFrom.PUBLISHED and not is_retry and not args.get("original_document_id"):
if invoke_from == InvokeFrom.PUBLISHED_PIPELINE and not is_retry and not args.get("original_document_id"):
from services.dataset_service import DocumentService
for datasource_info in datasource_info_list:
@ -156,7 +156,7 @@ class PipelineGenerator(BaseAppGenerator):
for i, datasource_info in enumerate(datasource_info_list):
workflow_run_id = str(uuid.uuid4())
document_id = args.get("original_document_id") or None
if invoke_from == InvokeFrom.PUBLISHED and not is_retry:
if invoke_from == InvokeFrom.PUBLISHED_PIPELINE and not is_retry:
document_id = document_id or documents[i].id
document_pipeline_execution_log = DocumentPipelineExecutionLog(
document_id=document_id,

View File

@ -42,7 +42,8 @@ class InvokeFrom(StrEnum):
# DEBUGGER indicates that this invocation is from
# the workflow (or chatflow) edit page.
DEBUGGER = "debugger"
PUBLISHED = "published"
# PUBLISHED_PIPELINE indicates that this invocation runs a published RAG pipeline workflow.
PUBLISHED_PIPELINE = "published"
# VALIDATION indicates that this invocation is from validation.
VALIDATION = "validation"

View File

@ -75,7 +75,7 @@ class AnnotationReplyFeature:
AppAnnotationService.add_annotation_history(
annotation.id,
app_record.id,
annotation.question,
annotation.question_text,
annotation.content,
query,
user_id,

View File

@ -0,0 +1,60 @@
import logging
from core.variables import Variable
from core.workflow.constants import CONVERSATION_VARIABLE_NODE_ID
from core.workflow.conversation_variable_updater import ConversationVariableUpdater
from core.workflow.enums import NodeType
from core.workflow.graph_engine.layers.base import GraphEngineLayer
from core.workflow.graph_events import GraphEngineEvent, NodeRunSucceededEvent
from core.workflow.nodes.variable_assigner.common import helpers as common_helpers
logger = logging.getLogger(__name__)
class ConversationVariablePersistenceLayer(GraphEngineLayer):
def __init__(self, conversation_variable_updater: ConversationVariableUpdater) -> None:
super().__init__()
self._conversation_variable_updater = conversation_variable_updater
def on_graph_start(self) -> None:
pass
def on_event(self, event: GraphEngineEvent) -> None:
if not isinstance(event, NodeRunSucceededEvent):
return
if event.node_type != NodeType.VARIABLE_ASSIGNER:
return
if self.graph_runtime_state is None:
return
updated_variables = common_helpers.get_updated_variables(event.node_run_result.process_data) or []
if not updated_variables:
return
conversation_id = self.graph_runtime_state.system_variable.conversation_id
if conversation_id is None:
return
updated_any = False
for item in updated_variables:
selector = item.selector
if len(selector) < 2:
logger.warning("Conversation variable selector invalid. selector=%s", selector)
continue
if selector[0] != CONVERSATION_VARIABLE_NODE_ID:
continue
variable = self.graph_runtime_state.variable_pool.get(selector)
if not isinstance(variable, Variable):
logger.warning(
"Conversation variable not found in variable pool. selector=%s",
selector,
)
continue
self._conversation_variable_updater.update(conversation_id=conversation_id, variable=variable)
updated_any = True
if updated_any:
self._conversation_variable_updater.flush()
def on_graph_end(self, error: Exception | None) -> None:
pass

View File

@ -66,6 +66,7 @@ class PauseStatePersistenceLayer(GraphEngineLayer):
"""
if isinstance(session_factory, Engine):
session_factory = sessionmaker(session_factory)
super().__init__()
self._session_maker = session_factory
self._state_owner_user_id = state_owner_user_id
self._generate_entity = generate_entity
@ -98,8 +99,6 @@ class PauseStatePersistenceLayer(GraphEngineLayer):
if not isinstance(event, GraphRunPausedEvent):
return
assert self.graph_runtime_state is not None
entity_wrapper: _GenerateEntityUnion
if isinstance(self._generate_entity, WorkflowAppGenerateEntity):
entity_wrapper = _WorkflowGenerateEntityWrapper(entity=self._generate_entity)

View File

@ -33,6 +33,7 @@ class TriggerPostLayer(GraphEngineLayer):
trigger_log_id: str,
session_maker: sessionmaker[Session],
):
super().__init__()
self.trigger_log_id = trigger_log_id
self.start_time = start_time
self.cfs_plan_scheduler_entity = cfs_plan_scheduler_entity
@ -57,10 +58,6 @@ class TriggerPostLayer(GraphEngineLayer):
elapsed_time = (datetime.now(UTC) - self.start_time).total_seconds()
# Extract relevant data from result
if not self.graph_runtime_state:
logger.exception("Graph runtime state is not set")
return
outputs = self.graph_runtime_state.outputs
# BASICLY, workflow_execution_id is the same as workflow_run_id

View File

@ -1,3 +1,5 @@
from __future__ import annotations
from abc import ABC, abstractmethod
from configs import dify_config
@ -30,7 +32,7 @@ class DatasourcePlugin(ABC):
"""
return DatasourceProviderType.LOCAL_FILE
def fork_datasource_runtime(self, runtime: DatasourceRuntime) -> "DatasourcePlugin":
def fork_datasource_runtime(self, runtime: DatasourceRuntime) -> DatasourcePlugin:
return self.__class__(
entity=self.entity.model_copy(),
runtime=runtime,

View File

@ -1,3 +1,5 @@
from __future__ import annotations
import enum
from enum import StrEnum
from typing import Any
@ -31,7 +33,7 @@ class DatasourceProviderType(enum.StrEnum):
ONLINE_DRIVE = "online_drive"
@classmethod
def value_of(cls, value: str) -> "DatasourceProviderType":
def value_of(cls, value: str) -> DatasourceProviderType:
"""
Get value of given mode.
@ -81,7 +83,7 @@ class DatasourceParameter(PluginParameter):
typ: DatasourceParameterType,
required: bool,
options: list[str] | None = None,
) -> "DatasourceParameter":
) -> DatasourceParameter:
"""
get a simple datasource parameter
@ -187,14 +189,14 @@ class DatasourceInvokeMeta(BaseModel):
tool_config: dict | None = None
@classmethod
def empty(cls) -> "DatasourceInvokeMeta":
def empty(cls) -> DatasourceInvokeMeta:
"""
Get an empty instance of DatasourceInvokeMeta
"""
return cls(time_cost=0.0, error=None, tool_config={})
@classmethod
def error_instance(cls, error: str) -> "DatasourceInvokeMeta":
def error_instance(cls, error: str) -> DatasourceInvokeMeta:
"""
Get an instance of DatasourceInvokeMeta with error
"""

View File

@ -1,7 +1,7 @@
from sqlalchemy import Engine
from sqlalchemy.orm import Session, sessionmaker
_session_maker: sessionmaker | None = None
_session_maker: sessionmaker[Session] | None = None
def configure_session_factory(engine: Engine, expire_on_commit: bool = False):
@ -10,7 +10,7 @@ def configure_session_factory(engine: Engine, expire_on_commit: bool = False):
_session_maker = sessionmaker(bind=engine, expire_on_commit=expire_on_commit)
def get_session_maker() -> sessionmaker:
def get_session_maker() -> sessionmaker[Session]:
if _session_maker is None:
raise RuntimeError("Session factory not configured. Call configure_session_factory() first.")
return _session_maker
@ -27,7 +27,7 @@ class SessionFactory:
configure_session_factory(engine, expire_on_commit)
@staticmethod
def get_session_maker() -> sessionmaker:
def get_session_maker() -> sessionmaker[Session]:
return get_session_maker()
@staticmethod

View File

@ -1,3 +1,5 @@
from __future__ import annotations
import json
from datetime import datetime
from enum import StrEnum
@ -75,7 +77,7 @@ class MCPProviderEntity(BaseModel):
updated_at: datetime
@classmethod
def from_db_model(cls, db_provider: "MCPToolProvider") -> "MCPProviderEntity":
def from_db_model(cls, db_provider: MCPToolProvider) -> MCPProviderEntity:
"""Create entity from database model with decryption"""
return cls(

View File

@ -30,7 +30,6 @@ class SimpleModelProviderEntity(BaseModel):
label: I18nObject
icon_small: I18nObject | None = None
icon_small_dark: I18nObject | None = None
icon_large: I18nObject | None = None
supported_model_types: list[ModelType]
def __init__(self, provider_entity: ProviderEntity):
@ -44,7 +43,6 @@ class SimpleModelProviderEntity(BaseModel):
label=provider_entity.label,
icon_small=provider_entity.icon_small,
icon_small_dark=provider_entity.icon_small_dark,
icon_large=provider_entity.icon_large,
supported_model_types=provider_entity.supported_model_types,
)
@ -94,7 +92,6 @@ class DefaultModelProviderEntity(BaseModel):
provider: str
label: I18nObject
icon_small: I18nObject | None = None
icon_large: I18nObject | None = None
supported_model_types: Sequence[ModelType] = []

View File

@ -1,3 +1,5 @@
from __future__ import annotations
from enum import StrEnum, auto
from typing import Union
@ -178,7 +180,7 @@ class BasicProviderConfig(BaseModel):
TOOLS_SELECTOR = CommonParameterType.TOOLS_SELECTOR
@classmethod
def value_of(cls, value: str) -> "ProviderConfig.Type":
def value_of(cls, value: str) -> ProviderConfig.Type:
"""
Get value of given mode.

View File

@ -8,8 +8,9 @@ import urllib.parse
from configs import dify_config
def get_signed_file_url(upload_file_id: str, as_attachment=False) -> str:
url = f"{dify_config.FILES_URL}/files/{upload_file_id}/file-preview"
def get_signed_file_url(upload_file_id: str, as_attachment=False, for_external: bool = True) -> str:
base_url = dify_config.FILES_URL if for_external else (dify_config.INTERNAL_FILES_URL or dify_config.FILES_URL)
url = f"{base_url}/files/{upload_file_id}/file-preview"
timestamp = str(int(time.time()))
nonce = os.urandom(16).hex()

View File

@ -112,17 +112,17 @@ class File(BaseModel):
return text
def generate_url(self) -> str | None:
def generate_url(self, for_external: bool = True) -> str | None:
if self.transfer_method == FileTransferMethod.REMOTE_URL:
return self.remote_url
elif self.transfer_method == FileTransferMethod.LOCAL_FILE:
if self.related_id is None:
raise ValueError("Missing file related_id")
return helpers.get_signed_file_url(upload_file_id=self.related_id)
return helpers.get_signed_file_url(upload_file_id=self.related_id, for_external=for_external)
elif self.transfer_method in [FileTransferMethod.TOOL_FILE, FileTransferMethod.DATASOURCE_FILE]:
assert self.related_id is not None
assert self.extension is not None
return sign_tool_file(tool_file_id=self.related_id, extension=self.extension)
return sign_tool_file(tool_file_id=self.related_id, extension=self.extension, for_external=for_external)
return None
def to_plugin_parameter(self) -> dict[str, Any]:
@ -133,7 +133,7 @@ class File(BaseModel):
"extension": self.extension,
"size": self.size,
"type": self.type,
"url": self.generate_url(),
"url": self.generate_url(for_external=False),
}
@model_validator(mode="after")

View File

@ -76,7 +76,7 @@ class TemplateTransformer(ABC):
Post-process the result to convert scientific notation strings back to numbers
"""
def convert_scientific_notation(value):
def convert_scientific_notation(value: Any) -> Any:
if isinstance(value, str):
# Check if the string looks like scientific notation
if re.match(r"^-?\d+\.?\d*e[+-]\d+$", value, re.IGNORECASE):
@ -90,7 +90,7 @@ class TemplateTransformer(ABC):
return [convert_scientific_notation(v) for v in value]
return value
return convert_scientific_notation(result) # type: ignore[no-any-return]
return convert_scientific_notation(result)
@classmethod
@abstractmethod

View File

@ -88,7 +88,41 @@ def _get_user_provided_host_header(headers: dict | None) -> str | None:
return None
def _inject_trace_headers(headers: dict | None) -> dict:
"""
Inject W3C traceparent header for distributed tracing.
When OTEL is enabled, HTTPXClientInstrumentor handles trace propagation automatically.
When OTEL is disabled, we manually inject the traceparent header.
"""
if headers is None:
headers = {}
# Skip if already present (case-insensitive check)
for key in headers:
if key.lower() == "traceparent":
return headers
# Skip if OTEL is enabled - HTTPXClientInstrumentor handles this automatically
if dify_config.ENABLE_OTEL:
return headers
# Generate and inject traceparent for non-OTEL scenarios
try:
from core.helper.trace_id_helper import generate_traceparent_header
traceparent = generate_traceparent_header()
if traceparent:
headers["traceparent"] = traceparent
except Exception:
# Silently ignore errors to avoid breaking requests
logger.debug("Failed to generate traceparent header", exc_info=True)
return headers
def make_request(method, url, max_retries=SSRF_DEFAULT_MAX_RETRIES, **kwargs):
# Convert requests-style allow_redirects to httpx-style follow_redirects
if "allow_redirects" in kwargs:
allow_redirects = kwargs.pop("allow_redirects")
if "follow_redirects" not in kwargs:
@ -106,18 +140,21 @@ def make_request(method, url, max_retries=SSRF_DEFAULT_MAX_RETRIES, **kwargs):
verify_option = kwargs.pop("ssl_verify", dify_config.HTTP_REQUEST_NODE_SSL_VERIFY)
client = _get_ssrf_client(verify_option)
# Inject traceparent header for distributed tracing (when OTEL is not enabled)
headers = kwargs.get("headers") or {}
headers = _inject_trace_headers(headers)
kwargs["headers"] = headers
# Preserve user-provided Host header
# When using a forward proxy, httpx may override the Host header based on the URL.
# We extract and preserve any explicitly set Host header to support virtual hosting.
headers = kwargs.get("headers", {})
user_provided_host = _get_user_provided_host_header(headers)
retries = 0
while retries <= max_retries:
try:
# Build the request manually to preserve the Host header
# httpx may override the Host header when using a proxy, so we use
# the request API to explicitly set headers before sending
# Preserve the user-provided Host header
# httpx may override the Host header when using a proxy
headers = {k: v for k, v in headers.items() if k.lower() != "host"}
if user_provided_host is not None:
headers["host"] = user_provided_host

View File

@ -103,3 +103,60 @@ def parse_traceparent_header(traceparent: str) -> str | None:
if len(parts) == 4 and len(parts[1]) == 32:
return parts[1]
return None
def get_span_id_from_otel_context() -> str | None:
"""
Retrieve the current span ID from the active OpenTelemetry trace context.
Returns:
A 16-character hex string representing the span ID, or None if not available.
"""
try:
from opentelemetry.trace import get_current_span
from opentelemetry.trace.span import INVALID_SPAN_ID
span = get_current_span()
if not span:
return None
span_context = span.get_span_context()
if not span_context or span_context.span_id == INVALID_SPAN_ID:
return None
return f"{span_context.span_id:016x}"
except Exception:
return None
def generate_traceparent_header() -> str | None:
"""
Generate a W3C traceparent header from the current context.
Uses OpenTelemetry context if available, otherwise uses the
ContextVar-based trace_id from the logging context.
Format: {version}-{trace_id}-{span_id}-{flags}
Example: 00-5b8aa5a2d2c872e8321cf37308d69df2-051581bf3bb55c45-01
Returns:
A valid traceparent header string, or None if generation fails.
"""
import uuid
# Try OTEL context first
trace_id = get_trace_id_from_otel_context()
span_id = get_span_id_from_otel_context()
if trace_id and span_id:
return f"00-{trace_id}-{span_id}-01"
# Fallback: use ContextVar-based trace_id or generate new one
from core.logging.context import get_trace_id as get_logging_trace_id
trace_id = get_logging_trace_id() or uuid.uuid4().hex
# Generate a new span_id (16 hex chars)
span_id = uuid.uuid4().hex[:16]
return f"00-{trace_id}-{span_id}-01"

View File

@ -0,0 +1,20 @@
"""Structured logging components for Dify."""
from core.logging.context import (
clear_request_context,
get_request_id,
get_trace_id,
init_request_context,
)
from core.logging.filters import IdentityContextFilter, TraceContextFilter
from core.logging.structured_formatter import StructuredJSONFormatter
__all__ = [
"IdentityContextFilter",
"StructuredJSONFormatter",
"TraceContextFilter",
"clear_request_context",
"get_request_id",
"get_trace_id",
"init_request_context",
]

View File

@ -0,0 +1,35 @@
"""Request context for logging - framework agnostic.
This module provides request-scoped context variables for logging,
using Python's contextvars for thread-safe and async-safe storage.
"""
import uuid
from contextvars import ContextVar
_request_id: ContextVar[str] = ContextVar("log_request_id", default="")
_trace_id: ContextVar[str] = ContextVar("log_trace_id", default="")
def get_request_id() -> str:
"""Get current request ID (10 hex chars)."""
return _request_id.get()
def get_trace_id() -> str:
"""Get fallback trace ID when OTEL is unavailable (32 hex chars)."""
return _trace_id.get()
def init_request_context() -> None:
"""Initialize request context. Call at start of each request."""
req_id = uuid.uuid4().hex[:10]
trace_id = uuid.uuid5(uuid.NAMESPACE_DNS, req_id).hex
_request_id.set(req_id)
_trace_id.set(trace_id)
def clear_request_context() -> None:
"""Clear request context. Call at end of request (optional)."""
_request_id.set("")
_trace_id.set("")

View File

@ -0,0 +1,94 @@
"""Logging filters for structured logging."""
import contextlib
import logging
import flask
from core.logging.context import get_request_id, get_trace_id
class TraceContextFilter(logging.Filter):
"""
Filter that adds trace_id and span_id to log records.
Integrates with OpenTelemetry when available, falls back to ContextVar-based trace_id.
"""
def filter(self, record: logging.LogRecord) -> bool:
# Get trace context from OpenTelemetry
trace_id, span_id = self._get_otel_context()
# Set trace_id (fallback to ContextVar if no OTEL context)
if trace_id:
record.trace_id = trace_id
else:
record.trace_id = get_trace_id()
record.span_id = span_id or ""
# For backward compatibility, also set req_id
record.req_id = get_request_id()
return True
def _get_otel_context(self) -> tuple[str, str]:
"""Extract trace_id and span_id from OpenTelemetry context."""
with contextlib.suppress(Exception):
from opentelemetry.trace import get_current_span
from opentelemetry.trace.span import INVALID_SPAN_ID, INVALID_TRACE_ID
span = get_current_span()
if span and span.get_span_context():
ctx = span.get_span_context()
if ctx.is_valid and ctx.trace_id != INVALID_TRACE_ID:
trace_id = f"{ctx.trace_id:032x}"
span_id = f"{ctx.span_id:016x}" if ctx.span_id != INVALID_SPAN_ID else ""
return trace_id, span_id
return "", ""
class IdentityContextFilter(logging.Filter):
"""
Filter that adds user identity context to log records.
Extracts tenant_id, user_id, and user_type from Flask-Login current_user.
"""
def filter(self, record: logging.LogRecord) -> bool:
identity = self._extract_identity()
record.tenant_id = identity.get("tenant_id", "")
record.user_id = identity.get("user_id", "")
record.user_type = identity.get("user_type", "")
return True
def _extract_identity(self) -> dict[str, str]:
"""Extract identity from current_user if in request context."""
try:
if not flask.has_request_context():
return {}
from flask_login import current_user
# Check if user is authenticated using the proxy
if not current_user.is_authenticated:
return {}
# Access the underlying user object
user = current_user
from models import Account
from models.model import EndUser
identity: dict[str, str] = {}
if isinstance(user, Account):
if user.current_tenant_id:
identity["tenant_id"] = user.current_tenant_id
identity["user_id"] = user.id
identity["user_type"] = "account"
elif isinstance(user, EndUser):
identity["tenant_id"] = user.tenant_id
identity["user_id"] = user.id
identity["user_type"] = user.type or "end_user"
return identity
except Exception:
return {}

View File

@ -0,0 +1,107 @@
"""Structured JSON log formatter for Dify."""
import logging
import traceback
from datetime import UTC, datetime
from typing import Any
import orjson
from configs import dify_config
class StructuredJSONFormatter(logging.Formatter):
"""
JSON log formatter following the specified schema:
{
"ts": "ISO 8601 UTC",
"severity": "INFO|ERROR|WARN|DEBUG",
"service": "service name",
"caller": "file:line",
"trace_id": "hex 32",
"span_id": "hex 16",
"identity": { "tenant_id", "user_id", "user_type" },
"message": "log message",
"attributes": { ... },
"stack_trace": "..."
}
"""
SEVERITY_MAP: dict[int, str] = {
logging.DEBUG: "DEBUG",
logging.INFO: "INFO",
logging.WARNING: "WARN",
logging.ERROR: "ERROR",
logging.CRITICAL: "ERROR",
}
def __init__(self, service_name: str | None = None):
super().__init__()
self._service_name = service_name or dify_config.APPLICATION_NAME
def format(self, record: logging.LogRecord) -> str:
log_dict = self._build_log_dict(record)
try:
return orjson.dumps(log_dict).decode("utf-8")
except TypeError:
# Fallback: convert non-serializable objects to string
import json
return json.dumps(log_dict, default=str, ensure_ascii=False)
def _build_log_dict(self, record: logging.LogRecord) -> dict[str, Any]:
# Core fields
log_dict: dict[str, Any] = {
"ts": datetime.now(UTC).isoformat(timespec="milliseconds").replace("+00:00", "Z"),
"severity": self.SEVERITY_MAP.get(record.levelno, "INFO"),
"service": self._service_name,
"caller": f"{record.filename}:{record.lineno}",
"message": record.getMessage(),
}
# Trace context (from TraceContextFilter)
trace_id = getattr(record, "trace_id", "")
span_id = getattr(record, "span_id", "")
if trace_id:
log_dict["trace_id"] = trace_id
if span_id:
log_dict["span_id"] = span_id
# Identity context (from IdentityContextFilter)
identity = self._extract_identity(record)
if identity:
log_dict["identity"] = identity
# Dynamic attributes
attributes = getattr(record, "attributes", None)
if attributes:
log_dict["attributes"] = attributes
# Stack trace for errors with exceptions
if record.exc_info and record.levelno >= logging.ERROR:
log_dict["stack_trace"] = self._format_exception(record.exc_info)
return log_dict
def _extract_identity(self, record: logging.LogRecord) -> dict[str, str] | None:
tenant_id = getattr(record, "tenant_id", None)
user_id = getattr(record, "user_id", None)
user_type = getattr(record, "user_type", None)
if not any([tenant_id, user_id, user_type]):
return None
identity: dict[str, str] = {}
if tenant_id:
identity["tenant_id"] = tenant_id
if user_id:
identity["user_id"] = user_id
if user_type:
identity["user_type"] = user_type
return identity
def _format_exception(self, exc_info: tuple[Any, ...]) -> str:
if exc_info and exc_info[0] is not None:
return "".join(traceback.format_exception(*exc_info))
return ""

View File

@ -68,13 +68,7 @@ class RequestResponder(Generic[ReceiveRequestT, SendResultT]):
request_id: RequestId,
request_meta: RequestParams.Meta | None,
request: ReceiveRequestT,
session: """BaseSession[
SendRequestT,
SendNotificationT,
SendResultT,
ReceiveRequestT,
ReceiveNotificationT
]""",
session: """BaseSession[SendRequestT, SendNotificationT, SendResultT, ReceiveRequestT, ReceiveNotificationT]""",
on_complete: Callable[["RequestResponder[ReceiveRequestT, SendResultT]"], Any],
):
self.request_id = request_id

View File

@ -1,3 +1,5 @@
from __future__ import annotations
from abc import ABC
from collections.abc import Mapping, Sequence
from enum import StrEnum, auto
@ -17,7 +19,7 @@ class PromptMessageRole(StrEnum):
TOOL = auto()
@classmethod
def value_of(cls, value: str) -> "PromptMessageRole":
def value_of(cls, value: str) -> PromptMessageRole:
"""
Get value of given mode.

View File

@ -1,3 +1,5 @@
from __future__ import annotations
from decimal import Decimal
from enum import StrEnum, auto
from typing import Any
@ -20,7 +22,7 @@ class ModelType(StrEnum):
TTS = auto()
@classmethod
def value_of(cls, origin_model_type: str) -> "ModelType":
def value_of(cls, origin_model_type: str) -> ModelType:
"""
Get model type from origin model type.
@ -103,7 +105,7 @@ class DefaultParameterName(StrEnum):
JSON_SCHEMA = auto()
@classmethod
def value_of(cls, value: Any) -> "DefaultParameterName":
def value_of(cls, value: Any) -> DefaultParameterName:
"""
Get parameter name from value.

View File

@ -100,7 +100,6 @@ class SimpleProviderEntity(BaseModel):
label: I18nObject
icon_small: I18nObject | None = None
icon_small_dark: I18nObject | None = None
icon_large: I18nObject | None = None
supported_model_types: Sequence[ModelType]
models: list[AIModelEntity] = []
@ -123,7 +122,6 @@ class ProviderEntity(BaseModel):
label: I18nObject
description: I18nObject | None = None
icon_small: I18nObject | None = None
icon_large: I18nObject | None = None
icon_small_dark: I18nObject | None = None
background: str | None = None
help: ProviderHelpEntity | None = None
@ -157,7 +155,6 @@ class ProviderEntity(BaseModel):
provider=self.provider,
label=self.label,
icon_small=self.icon_small,
icon_large=self.icon_large,
supported_model_types=self.supported_model_types,
models=self.models,
)

View File

@ -1,3 +1,5 @@
from __future__ import annotations
import hashlib
import logging
from collections.abc import Sequence
@ -38,7 +40,7 @@ class ModelProviderFactory:
plugin_providers = self.get_plugin_model_providers()
return [provider.declaration for provider in plugin_providers]
def get_plugin_model_providers(self) -> Sequence["PluginModelProviderEntity"]:
def get_plugin_model_providers(self) -> Sequence[PluginModelProviderEntity]:
"""
Get all plugin model providers
:return: list of plugin model providers
@ -76,7 +78,7 @@ class ModelProviderFactory:
plugin_model_provider_entity = self.get_plugin_model_provider(provider=provider)
return plugin_model_provider_entity.declaration
def get_plugin_model_provider(self, provider: str) -> "PluginModelProviderEntity":
def get_plugin_model_provider(self, provider: str) -> PluginModelProviderEntity:
"""
Get plugin model provider
:param provider: provider name
@ -285,7 +287,7 @@ class ModelProviderFactory:
"""
Get provider icon
:param provider: provider name
:param icon_type: icon type (icon_small or icon_large)
:param icon_type: icon type (icon_small or icon_small_dark)
:param lang: language (zh_Hans or en_US)
:return: provider icon
"""
@ -309,13 +311,7 @@ class ModelProviderFactory:
else:
file_name = provider_schema.icon_small_dark.en_US
else:
if not provider_schema.icon_large:
raise ValueError(f"Provider {provider} does not have large icon.")
if lang.lower() == "zh_hans":
file_name = provider_schema.icon_large.zh_Hans
else:
file_name = provider_schema.icon_large.en_US
raise ValueError(f"Unsupported icon type: {icon_type}.")
if not file_name:
raise ValueError(f"Provider {provider} does not have icon.")

View File

@ -1,3 +1,5 @@
from __future__ import annotations
import enum
from collections.abc import Mapping, Sequence
from datetime import datetime
@ -242,7 +244,7 @@ class CredentialType(enum.StrEnum):
return [item.value for item in cls]
@classmethod
def of(cls, credential_type: str) -> "CredentialType":
def of(cls, credential_type: str) -> CredentialType:
type_name = credential_type.lower()
if type_name in {"api-key", "api_key"}:
return cls.API_KEY

View File

@ -103,6 +103,9 @@ class BasePluginClient:
prepared_headers["X-Api-Key"] = dify_config.PLUGIN_DAEMON_KEY
prepared_headers.setdefault("Accept-Encoding", "gzip, deflate, br")
# Inject traceparent header for distributed tracing
self._inject_trace_headers(prepared_headers)
prepared_data: bytes | dict[str, Any] | str | None = (
data if isinstance(data, (bytes, str, dict)) or data is None else None
)
@ -114,6 +117,31 @@ class BasePluginClient:
return str(url), prepared_headers, prepared_data, params, files
def _inject_trace_headers(self, headers: dict[str, str]) -> None:
"""
Inject W3C traceparent header for distributed tracing.
This ensures trace context is propagated to plugin daemon even if
HTTPXClientInstrumentor doesn't cover module-level httpx functions.
"""
if not dify_config.ENABLE_OTEL:
return
import contextlib
# Skip if already present (case-insensitive check)
for key in headers:
if key.lower() == "traceparent":
return
# Inject traceparent - works as fallback when OTEL instrumentation doesn't cover this call
with contextlib.suppress(Exception):
from core.helper.trace_id_helper import generate_traceparent_header
traceparent = generate_traceparent_header()
if traceparent:
headers["traceparent"] = traceparent
def _stream_request(
self,
method: str,

View File

@ -331,7 +331,6 @@ class ProviderManager:
provider=provider_schema.provider,
label=provider_schema.label,
icon_small=provider_schema.icon_small,
icon_large=provider_schema.icon_large,
supported_model_types=provider_schema.supported_model_types,
),
)

View File

@ -27,26 +27,44 @@ class CleanProcessor:
pattern = r"([a-zA-Z0-9_.+-]+@[a-zA-Z0-9-]+\.[a-zA-Z0-9-.]+)"
text = re.sub(pattern, "", text)
# Remove URL but keep Markdown image URLs
# First, temporarily replace Markdown image URLs with a placeholder
markdown_image_pattern = r"!\[.*?\]\((https?://[^\s)]+)\)"
placeholders: list[str] = []
# Remove URL but keep Markdown image URLs and link URLs
# Replace the ENTIRE markdown link/image with a single placeholder to protect
# the link text (which might also be a URL) from being removed
markdown_link_pattern = r"\[([^\]]*)\]\((https?://[^)]+)\)"
markdown_image_pattern = r"!\[.*?\]\((https?://[^)]+)\)"
placeholders: list[tuple[str, str, str]] = [] # (type, text, url)
def replace_with_placeholder(match, placeholders=placeholders):
def replace_markdown_with_placeholder(match, placeholders=placeholders):
link_type = "link"
link_text = match.group(1)
url = match.group(2)
placeholder = f"__MARKDOWN_PLACEHOLDER_{len(placeholders)}__"
placeholders.append((link_type, link_text, url))
return placeholder
def replace_image_with_placeholder(match, placeholders=placeholders):
link_type = "image"
url = match.group(1)
placeholder = f"__MARKDOWN_IMAGE_URL_{len(placeholders)}__"
placeholders.append(url)
return f"![image]({placeholder})"
placeholder = f"__MARKDOWN_PLACEHOLDER_{len(placeholders)}__"
placeholders.append((link_type, "image", url))
return placeholder
text = re.sub(markdown_image_pattern, replace_with_placeholder, text)
# Protect markdown links first
text = re.sub(markdown_link_pattern, replace_markdown_with_placeholder, text)
# Then protect markdown images
text = re.sub(markdown_image_pattern, replace_image_with_placeholder, text)
# Now remove all remaining URLs
url_pattern = r"https?://[^\s)]+"
url_pattern = r"https?://\S+"
text = re.sub(url_pattern, "", text)
# Finally, restore the Markdown image URLs
for i, url in enumerate(placeholders):
text = text.replace(f"__MARKDOWN_IMAGE_URL_{i}__", url)
# Restore the Markdown links and images
for i, (link_type, text_or_alt, url) in enumerate(placeholders):
placeholder = f"__MARKDOWN_PLACEHOLDER_{i}__"
if link_type == "link":
text = text.replace(placeholder, f"[{text_or_alt}]({url})")
else: # image
text = text.replace(placeholder, f"![{text_or_alt}]({url})")
return text
def filter_string(self, text):

View File

@ -1,3 +1,5 @@
from __future__ import annotations
import contextlib
import json
import logging
@ -6,7 +8,7 @@ import re
import threading
import time
import uuid
from typing import TYPE_CHECKING, Any, Optional
from typing import TYPE_CHECKING, Any
import clickzetta # type: ignore
from pydantic import BaseModel, model_validator
@ -76,7 +78,7 @@ class ClickzettaConnectionPool:
Manages connection reuse across ClickzettaVector instances.
"""
_instance: Optional["ClickzettaConnectionPool"] = None
_instance: ClickzettaConnectionPool | None = None
_lock = threading.Lock()
def __init__(self):
@ -89,7 +91,7 @@ class ClickzettaConnectionPool:
self._start_cleanup_thread()
@classmethod
def get_instance(cls) -> "ClickzettaConnectionPool":
def get_instance(cls) -> ClickzettaConnectionPool:
"""Get singleton instance of connection pool."""
if cls._instance is None:
with cls._lock:
@ -104,7 +106,7 @@ class ClickzettaConnectionPool:
f"{config.workspace}:{config.vcluster}:{config.schema_name}"
)
def _create_connection(self, config: ClickzettaConfig) -> "Connection":
def _create_connection(self, config: ClickzettaConfig) -> Connection:
"""Create a new ClickZetta connection."""
max_retries = 3
retry_delay = 1.0
@ -134,7 +136,7 @@ class ClickzettaConnectionPool:
raise RuntimeError(f"Failed to create ClickZetta connection after {max_retries} attempts")
def _configure_connection(self, connection: "Connection"):
def _configure_connection(self, connection: Connection):
"""Configure connection session settings."""
try:
with connection.cursor() as cursor:
@ -181,7 +183,7 @@ class ClickzettaConnectionPool:
except Exception:
logger.exception("Failed to configure connection, continuing with defaults")
def _is_connection_valid(self, connection: "Connection") -> bool:
def _is_connection_valid(self, connection: Connection) -> bool:
"""Check if connection is still valid."""
try:
with connection.cursor() as cursor:
@ -190,7 +192,7 @@ class ClickzettaConnectionPool:
except Exception:
return False
def get_connection(self, config: ClickzettaConfig) -> "Connection":
def get_connection(self, config: ClickzettaConfig) -> Connection:
"""Get a connection from the pool or create a new one."""
config_key = self._get_config_key(config)
@ -221,7 +223,7 @@ class ClickzettaConnectionPool:
# No valid connection found, create new one
return self._create_connection(config)
def return_connection(self, config: ClickzettaConfig, connection: "Connection"):
def return_connection(self, config: ClickzettaConfig, connection: Connection):
"""Return a connection to the pool."""
config_key = self._get_config_key(config)
@ -315,22 +317,22 @@ class ClickzettaVector(BaseVector):
self._connection_pool = ClickzettaConnectionPool.get_instance()
self._init_write_queue()
def _get_connection(self) -> "Connection":
def _get_connection(self) -> Connection:
"""Get a connection from the pool."""
return self._connection_pool.get_connection(self._config)
def _return_connection(self, connection: "Connection"):
def _return_connection(self, connection: Connection):
"""Return a connection to the pool."""
self._connection_pool.return_connection(self._config, connection)
class ConnectionContext:
"""Context manager for borrowing and returning connections."""
def __init__(self, vector_instance: "ClickzettaVector"):
def __init__(self, vector_instance: ClickzettaVector):
self.vector = vector_instance
self.connection: Connection | None = None
def __enter__(self) -> "Connection":
def __enter__(self) -> Connection:
self.connection = self.vector._get_connection()
return self.connection
@ -338,7 +340,7 @@ class ClickzettaVector(BaseVector):
if self.connection:
self.vector._return_connection(self.connection)
def get_connection_context(self) -> "ClickzettaVector.ConnectionContext":
def get_connection_context(self) -> ClickzettaVector.ConnectionContext:
"""Get a connection context manager."""
return self.ConnectionContext(self)
@ -437,7 +439,7 @@ class ClickzettaVector(BaseVector):
"""Return the vector database type."""
return "clickzetta"
def _ensure_connection(self) -> "Connection":
def _ensure_connection(self) -> Connection:
"""Get a connection from the pool."""
return self._get_connection()
@ -984,9 +986,11 @@ class ClickzettaVector(BaseVector):
# No need for dataset_id filter since each dataset has its own table
# Use simple quote escaping for LIKE clause
escaped_query = query.replace("'", "''")
filter_clauses.append(f"{Field.CONTENT_KEY} LIKE '%{escaped_query}%'")
# Escape special characters for LIKE clause to prevent SQL injection
from libs.helper import escape_like_pattern
escaped_query = escape_like_pattern(query).replace("'", "''")
filter_clauses.append(f"{Field.CONTENT_KEY} LIKE '%{escaped_query}%' ESCAPE '\\\\'")
where_clause = " AND ".join(filter_clauses)
search_sql = f"""

View File

@ -287,11 +287,15 @@ class IrisVector(BaseVector):
cursor.execute(sql, (query,))
else:
# Fallback to LIKE search (inefficient for large datasets)
query_pattern = f"%{query}%"
# Escape special characters for LIKE clause to prevent SQL injection
from libs.helper import escape_like_pattern
escaped_query = escape_like_pattern(query)
query_pattern = f"%{escaped_query}%"
sql = f"""
SELECT TOP {top_k} id, text, meta
FROM {self.schema}.{self.table_name}
WHERE text LIKE ?
WHERE text LIKE ? ESCAPE '\\'
"""
cursor.execute(sql, (query_pattern,))

View File

@ -66,6 +66,8 @@ class WeaviateVector(BaseVector):
in a Weaviate collection.
"""
_DOCUMENT_ID_PROPERTY = "document_id"
def __init__(self, collection_name: str, config: WeaviateConfig, attributes: list):
"""
Initializes the Weaviate vector store.
@ -353,15 +355,12 @@ class WeaviateVector(BaseVector):
return []
col = self._client.collections.use(self._collection_name)
props = list({*self._attributes, "document_id", Field.TEXT_KEY.value})
props = list({*self._attributes, self._DOCUMENT_ID_PROPERTY, Field.TEXT_KEY.value})
where = None
doc_ids = kwargs.get("document_ids_filter") or []
if doc_ids:
ors = [Filter.by_property("document_id").equal(x) for x in doc_ids]
where = ors[0]
for f in ors[1:]:
where = where | f
where = Filter.by_property(self._DOCUMENT_ID_PROPERTY).contains_any(doc_ids)
top_k = int(kwargs.get("top_k", 4))
score_threshold = float(kwargs.get("score_threshold") or 0.0)
@ -408,10 +407,7 @@ class WeaviateVector(BaseVector):
where = None
doc_ids = kwargs.get("document_ids_filter") or []
if doc_ids:
ors = [Filter.by_property("document_id").equal(x) for x in doc_ids]
where = ors[0]
for f in ors[1:]:
where = where | f
where = Filter.by_property(self._DOCUMENT_ID_PROPERTY).contains_any(doc_ids)
top_k = int(kwargs.get("top_k", 4))

View File

@ -1,3 +1,5 @@
from __future__ import annotations
from collections.abc import Sequence
from typing import Any
@ -22,7 +24,7 @@ class DatasetDocumentStore:
self._document_id = document_id
@classmethod
def from_dict(cls, config_dict: dict[str, Any]) -> "DatasetDocumentStore":
def from_dict(cls, config_dict: dict[str, Any]) -> DatasetDocumentStore:
return cls(**config_dict)
def to_dict(self) -> dict[str, Any]:

View File

@ -112,7 +112,7 @@ class ExtractProcessor:
if file_extension in {".xlsx", ".xls"}:
extractor = ExcelExtractor(file_path)
elif file_extension == ".pdf":
extractor = PdfExtractor(file_path)
extractor = PdfExtractor(file_path, upload_file.tenant_id, upload_file.created_by)
elif file_extension in {".md", ".markdown", ".mdx"}:
extractor = (
UnstructuredMarkdownExtractor(file_path, unstructured_api_url, unstructured_api_key)
@ -148,7 +148,7 @@ class ExtractProcessor:
if file_extension in {".xlsx", ".xls"}:
extractor = ExcelExtractor(file_path)
elif file_extension == ".pdf":
extractor = PdfExtractor(file_path)
extractor = PdfExtractor(file_path, upload_file.tenant_id, upload_file.created_by)
elif file_extension in {".md", ".markdown", ".mdx"}:
extractor = MarkdownExtractor(file_path, autodetect_encoding=True)
elif file_extension in {".htm", ".html"}:

View File

@ -1,25 +1,57 @@
"""Abstract interface for document loader implementations."""
import contextlib
import io
import logging
import uuid
from collections.abc import Iterator
import pypdfium2
import pypdfium2.raw as pdfium_c
from configs import dify_config
from core.rag.extractor.blob.blob import Blob
from core.rag.extractor.extractor_base import BaseExtractor
from core.rag.models.document import Document
from extensions.ext_database import db
from extensions.ext_storage import storage
from libs.datetime_utils import naive_utc_now
from models.enums import CreatorUserRole
from models.model import UploadFile
logger = logging.getLogger(__name__)
class PdfExtractor(BaseExtractor):
"""Load pdf files.
"""
PdfExtractor is used to extract text and images from PDF files.
Args:
file_path: Path to the file to load.
file_path: Path to the PDF file.
tenant_id: Workspace ID.
user_id: ID of the user performing the extraction.
file_cache_key: Optional cache key for the extracted text.
"""
def __init__(self, file_path: str, file_cache_key: str | None = None):
"""Initialize with file path."""
# Magic bytes for image format detection: (magic_bytes, extension, mime_type)
IMAGE_FORMATS = [
(b"\xff\xd8\xff", "jpg", "image/jpeg"),
(b"\x89PNG\r\n\x1a\n", "png", "image/png"),
(b"\x00\x00\x00\x0c\x6a\x50\x20\x20\x0d\x0a\x87\x0a", "jp2", "image/jp2"),
(b"GIF8", "gif", "image/gif"),
(b"BM", "bmp", "image/bmp"),
(b"II*\x00", "tiff", "image/tiff"),
(b"MM\x00*", "tiff", "image/tiff"),
(b"II+\x00", "tiff", "image/tiff"),
(b"MM\x00+", "tiff", "image/tiff"),
]
MAX_MAGIC_LEN = max(len(m) for m, _, _ in IMAGE_FORMATS)
def __init__(self, file_path: str, tenant_id: str, user_id: str, file_cache_key: str | None = None):
"""Initialize PdfExtractor."""
self._file_path = file_path
self._tenant_id = tenant_id
self._user_id = user_id
self._file_cache_key = file_cache_key
def extract(self) -> list[Document]:
@ -50,7 +82,6 @@ class PdfExtractor(BaseExtractor):
def parse(self, blob: Blob) -> Iterator[Document]:
"""Lazily parse the blob."""
import pypdfium2 # type: ignore
with blob.as_bytes_io() as file_path:
pdf_reader = pypdfium2.PdfDocument(file_path, autoclose=True)
@ -59,8 +90,87 @@ class PdfExtractor(BaseExtractor):
text_page = page.get_textpage()
content = text_page.get_text_range()
text_page.close()
image_content = self._extract_images(page)
if image_content:
content += "\n" + image_content
page.close()
metadata = {"source": blob.source, "page": page_number}
yield Document(page_content=content, metadata=metadata)
finally:
pdf_reader.close()
def _extract_images(self, page) -> str:
"""
Extract images from a PDF page, save them to storage and database,
and return markdown image links.
Args:
page: pypdfium2 page object.
Returns:
Markdown string containing links to the extracted images.
"""
image_content = []
upload_files = []
base_url = dify_config.INTERNAL_FILES_URL or dify_config.FILES_URL
try:
image_objects = page.get_objects(filter=(pdfium_c.FPDF_PAGEOBJ_IMAGE,))
for obj in image_objects:
try:
# Extract image bytes
img_byte_arr = io.BytesIO()
# Extract DCTDecode (JPEG) and JPXDecode (JPEG 2000) images directly
# Fallback to png for other formats
obj.extract(img_byte_arr, fb_format="png")
img_bytes = img_byte_arr.getvalue()
if not img_bytes:
continue
header = img_bytes[: self.MAX_MAGIC_LEN]
image_ext = None
mime_type = None
for magic, ext, mime in self.IMAGE_FORMATS:
if header.startswith(magic):
image_ext = ext
mime_type = mime
break
if not image_ext or not mime_type:
continue
file_uuid = str(uuid.uuid4())
file_key = "image_files/" + self._tenant_id + "/" + file_uuid + "." + image_ext
storage.save(file_key, img_bytes)
# save file to db
upload_file = UploadFile(
tenant_id=self._tenant_id,
storage_type=dify_config.STORAGE_TYPE,
key=file_key,
name=file_key,
size=len(img_bytes),
extension=image_ext,
mime_type=mime_type,
created_by=self._user_id,
created_by_role=CreatorUserRole.ACCOUNT,
created_at=naive_utc_now(),
used=True,
used_by=self._user_id,
used_at=naive_utc_now(),
)
upload_files.append(upload_file)
image_content.append(f"![image]({base_url}/files/{upload_file.id}/file-preview)")
except Exception as e:
logger.warning("Failed to extract image from PDF: %s", e)
continue
except Exception as e:
logger.warning("Failed to get objects from PDF page: %s", e)
if upload_files:
db.session.add_all(upload_files)
db.session.commit()
return "\n".join(image_content)

View File

@ -7,10 +7,11 @@ import re
import tempfile
import uuid
from urllib.parse import urlparse
from xml.etree import ElementTree
import httpx
from docx import Document as DocxDocument
from docx.oxml.ns import qn
from docx.text.run import Run
from configs import dify_config
from core.helper import ssrf_proxy
@ -229,44 +230,20 @@ class WordExtractor(BaseExtractor):
image_map = self._extract_images_from_docx(doc)
hyperlinks_url = None
url_pattern = re.compile(r"http://[^\s+]+//|https://[^\s+]+")
for para in doc.paragraphs:
for run in para.runs:
if run.text and hyperlinks_url:
result = f" [{run.text}]({hyperlinks_url}) "
run.text = result
hyperlinks_url = None
if "HYPERLINK" in run.element.xml:
try:
xml = ElementTree.XML(run.element.xml)
x_child = [c for c in xml.iter() if c is not None]
for x in x_child:
if x is None:
continue
if x.tag.endswith("instrText"):
if x.text is None:
continue
for i in url_pattern.findall(x.text):
hyperlinks_url = str(i)
except Exception:
logger.exception("Failed to parse HYPERLINK xml")
def parse_paragraph(paragraph):
paragraph_content = []
def append_image_link(image_id, has_drawing):
def append_image_link(image_id, has_drawing, target_buffer):
"""Helper to append image link from image_map based on relationship type."""
rel = doc.part.rels[image_id]
if rel.is_external:
if image_id in image_map and not has_drawing:
paragraph_content.append(image_map[image_id])
target_buffer.append(image_map[image_id])
else:
image_part = rel.target_part
if image_part in image_map and not has_drawing:
paragraph_content.append(image_map[image_part])
target_buffer.append(image_map[image_part])
for run in paragraph.runs:
def process_run(run, target_buffer):
# Helper to extract text and embedded images from a run element and append them to target_buffer
if hasattr(run.element, "tag") and isinstance(run.element.tag, str) and run.element.tag.endswith("r"):
# Process drawing type images
drawing_elements = run.element.findall(
@ -287,13 +264,13 @@ class WordExtractor(BaseExtractor):
# External image: use embed_id as key
if embed_id in image_map:
has_drawing = True
paragraph_content.append(image_map[embed_id])
target_buffer.append(image_map[embed_id])
else:
# Internal image: use target_part as key
image_part = doc.part.related_parts.get(embed_id)
if image_part in image_map:
has_drawing = True
paragraph_content.append(image_map[image_part])
target_buffer.append(image_map[image_part])
# Process pict type images
shape_elements = run.element.findall(
".//{http://schemas.openxmlformats.org/wordprocessingml/2006/main}pict"
@ -308,7 +285,7 @@ class WordExtractor(BaseExtractor):
"{http://schemas.openxmlformats.org/officeDocument/2006/relationships}id"
)
if image_id and image_id in doc.part.rels:
append_image_link(image_id, has_drawing)
append_image_link(image_id, has_drawing, target_buffer)
# Find imagedata element in VML
image_data = shape.find(".//{urn:schemas-microsoft-com:vml}imagedata")
if image_data is not None:
@ -316,9 +293,93 @@ class WordExtractor(BaseExtractor):
"{http://schemas.openxmlformats.org/officeDocument/2006/relationships}id"
)
if image_id and image_id in doc.part.rels:
append_image_link(image_id, has_drawing)
append_image_link(image_id, has_drawing, target_buffer)
if run.text.strip():
paragraph_content.append(run.text.strip())
target_buffer.append(run.text.strip())
def process_hyperlink(hyperlink_elem, target_buffer):
# Helper to extract text from a hyperlink element and append it to target_buffer
r_id = hyperlink_elem.get(qn("r:id"))
# Extract text from runs inside the hyperlink
link_text_parts = []
for run_elem in hyperlink_elem.findall(qn("w:r")):
run = Run(run_elem, paragraph)
# Hyperlink text may be split across multiple runs (e.g., with different formatting),
# so collect all run texts first
if run.text:
link_text_parts.append(run.text)
link_text = "".join(link_text_parts).strip()
# Resolve URL
if r_id:
try:
rel = doc.part.rels.get(r_id)
if rel and rel.is_external:
link_text = f"[{link_text or rel.target_ref}]({rel.target_ref})"
except Exception:
logger.exception("Failed to resolve URL for hyperlink with r:id: %s", r_id)
if link_text:
target_buffer.append(link_text)
paragraph_content = []
# State for legacy HYPERLINK fields
hyperlink_field_url = None
hyperlink_field_text_parts: list = []
is_collecting_field_text = False
# Iterate through paragraph elements in document order
for child in paragraph._element:
tag = child.tag
if tag == qn("w:r"):
# Regular run
run = Run(child, paragraph)
# Check for fldChar (begin/end/separate) and instrText for legacy hyperlinks
fld_chars = child.findall(qn("w:fldChar"))
instr_texts = child.findall(qn("w:instrText"))
# Handle Fields
if fld_chars or instr_texts:
# Process instrText to find HYPERLINK "url"
for instr in instr_texts:
if instr.text and "HYPERLINK" in instr.text:
# Quick regex to extract URL
match = re.search(r'HYPERLINK\s+"([^"]+)"', instr.text, re.IGNORECASE)
if match:
hyperlink_field_url = match.group(1)
# Process fldChar
for fld_char in fld_chars:
fld_char_type = fld_char.get(qn("w:fldCharType"))
if fld_char_type == "begin":
# Start of a field: reset legacy link state
hyperlink_field_url = None
hyperlink_field_text_parts = []
is_collecting_field_text = False
elif fld_char_type == "separate":
# Separator: if we found a URL, start collecting visible text
if hyperlink_field_url:
is_collecting_field_text = True
elif fld_char_type == "end":
# End of field
if is_collecting_field_text and hyperlink_field_url:
# Create markdown link and append to main content
display_text = "".join(hyperlink_field_text_parts).strip()
if display_text:
link_md = f"[{display_text}]({hyperlink_field_url})"
paragraph_content.append(link_md)
# Reset state
hyperlink_field_url = None
hyperlink_field_text_parts = []
is_collecting_field_text = False
# Decide where to append content
target_buffer = hyperlink_field_text_parts if is_collecting_field_text else paragraph_content
process_run(run, target_buffer)
elif tag == qn("w:hyperlink"):
process_hyperlink(child, paragraph_content)
return "".join(paragraph_content) if paragraph_content else ""
paragraphs = doc.paragraphs.copy()

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