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docs/API_GUIDE.md
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docs/API_GUIDE.md
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|
||||
# StageAI API Usage Guide
|
||||
|
||||
This guide covers all API endpoints with practical examples for text and office document sources.
|
||||
|
||||
## Base URL
|
||||
|
||||
```
|
||||
http://localhost:3000/api
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## 1. Authentication
|
||||
|
||||
### Register a New Tenant
|
||||
|
||||
Creates a new tenant (law firm) and its first admin user.
|
||||
|
||||
```bash
|
||||
curl -X POST http://localhost:3000/api/auth/register \
|
||||
-H "Content-Type: application/json" \
|
||||
-d '{
|
||||
"name": "Dr. Müller",
|
||||
"email": "mueller@kanzlei.de",
|
||||
"password": "securepassword123",
|
||||
"tenantName": "Kanzlei Müller"
|
||||
}'
|
||||
```
|
||||
|
||||
**Response (201):**
|
||||
```json
|
||||
{
|
||||
"user": {
|
||||
"id": "uuid",
|
||||
"email": "mueller@kanzlei.de",
|
||||
"name": "Dr. Müller",
|
||||
"role": "admin"
|
||||
},
|
||||
"tenant": {
|
||||
"id": "uuid",
|
||||
"name": "Kanzlei Müller",
|
||||
"slug": "kanzlei-mueller"
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
### Sign In (Get Session Cookie)
|
||||
|
||||
Authentication uses NextAuth.js with the Credentials provider. Sign in to get a session cookie:
|
||||
|
||||
```bash
|
||||
curl -X POST http://localhost:3000/api/auth/callback/credentials \
|
||||
-H "Content-Type: application/json" \
|
||||
-d '{"email": "mueller@kanzlei.de", "password": "securepassword123"}' \
|
||||
-c cookies.txt
|
||||
```
|
||||
|
||||
Use `-b cookies.txt` on subsequent requests to send the session cookie.
|
||||
|
||||
### Session Info
|
||||
|
||||
```bash
|
||||
curl http://localhost:3000/api/auth/session -b cookies.txt
|
||||
```
|
||||
|
||||
Returns the current user session including `tenantId`, `userId`, `role`, `email`, and `name`.
|
||||
|
||||
> **Note:** Sessions expire after 8 hours. All protected endpoints require a valid session cookie. Tenant isolation is enforced at the database level via Row-Level Security.
|
||||
|
||||
---
|
||||
|
||||
## 2. Cases (Fälle)
|
||||
|
||||
### Create a Case
|
||||
|
||||
```bash
|
||||
curl -X POST http://localhost:3000/api/cases \
|
||||
-H "Content-Type: application/json" \
|
||||
-b cookies.txt \
|
||||
-d '{
|
||||
"caseNumber": "2024-BSchG-001",
|
||||
"title": "Nichtverlängerung Solist",
|
||||
"clientName": "Max Mustermann",
|
||||
"opposingParty": "Staatstheater Berlin",
|
||||
"venue": "Bühnenschiedsgericht Berlin",
|
||||
"status": "active",
|
||||
"domains": ["nv_buehne", "arbeitsrecht"]
|
||||
}'
|
||||
```
|
||||
|
||||
**Response (201):**
|
||||
```json
|
||||
{
|
||||
"id": "uuid",
|
||||
"caseNumber": "2024-BSchG-001",
|
||||
"title": "Nichtverlängerung Solist",
|
||||
"clientName": "Max Mustermann",
|
||||
"status": "active",
|
||||
"createdAt": "2024-01-15T10:00:00Z"
|
||||
}
|
||||
```
|
||||
|
||||
### List Cases
|
||||
|
||||
```bash
|
||||
# All cases
|
||||
curl http://localhost:3000/api/cases -b cookies.txt
|
||||
|
||||
# Search + filter
|
||||
curl "http://localhost:3000/api/cases?q=Mustermann&status=active&limit=10&offset=0" \
|
||||
-b cookies.txt
|
||||
```
|
||||
|
||||
### Get Case Details
|
||||
|
||||
```bash
|
||||
curl http://localhost:3000/api/cases/{caseId} -b cookies.txt
|
||||
```
|
||||
|
||||
Returns the case along with related analyses and proceedings.
|
||||
|
||||
### Update / Delete a Case
|
||||
|
||||
```bash
|
||||
# Update
|
||||
curl -X PATCH http://localhost:3000/api/cases/{caseId} \
|
||||
-H "Content-Type: application/json" \
|
||||
-b cookies.txt \
|
||||
-d '{"status": "closed"}'
|
||||
|
||||
# Delete
|
||||
curl -X DELETE http://localhost:3000/api/cases/{caseId} -b cookies.txt
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## 3. Document Upload (Text & Office Sources)
|
||||
|
||||
StageAI supports **PDF** and **DOCX** files (max 10 MB). Text is extracted automatically after upload.
|
||||
|
||||
### Upload a Generic Document
|
||||
|
||||
```bash
|
||||
curl -X POST http://localhost:3000/api/documents \
|
||||
-b cookies.txt \
|
||||
-F "file=@/path/to/urteil.pdf" \
|
||||
-F "category=entscheidung" \
|
||||
-F "sourceScope=global"
|
||||
```
|
||||
|
||||
**Parameters:**
|
||||
|
||||
| Field | Required | Values |
|
||||
|-------|----------|--------|
|
||||
| `file` | Yes | PDF or DOCX file |
|
||||
| `category` | Yes | `entscheidung`, `norm`, `falldokument`, `sonstiges` |
|
||||
| `sourceScope` | No | `case` (private to a case) or `global` |
|
||||
| `caseId` | No | Link to a specific case |
|
||||
| `decisionId` | No | Link to a specific decision |
|
||||
| `normInstrumentId` | No | Link to a norm instrument |
|
||||
|
||||
**Response (201):**
|
||||
```json
|
||||
{
|
||||
"id": "uuid",
|
||||
"filename": "urteil.pdf",
|
||||
"mimeType": "application/pdf",
|
||||
"category": "entscheidung",
|
||||
"status": "uploaded",
|
||||
"createdAt": "2024-01-15T10:30:00Z"
|
||||
}
|
||||
```
|
||||
|
||||
After upload, text extraction runs asynchronously. Status progresses: `uploaded` -> `extracting` -> `extracted` (or `failed`).
|
||||
|
||||
### List Documents
|
||||
|
||||
```bash
|
||||
# All documents
|
||||
curl "http://localhost:3000/api/documents" -b cookies.txt
|
||||
|
||||
# Filter by category and scope
|
||||
curl "http://localhost:3000/api/documents?category=entscheidung&sourceScope=global&limit=20&offset=0" \
|
||||
-b cookies.txt
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## 4. Contract Analysis (Vertragsanalyse)
|
||||
|
||||
Upload employment contracts (NV Bühne) for AI-powered clause analysis.
|
||||
|
||||
### Upload a Contract
|
||||
|
||||
```bash
|
||||
curl -X POST http://localhost:3000/api/contracts \
|
||||
-b cookies.txt \
|
||||
-F "file=@/path/to/arbeitsvertrag.pdf" \
|
||||
-F "caseId=uuid-of-case"
|
||||
```
|
||||
|
||||
**Response (201):**
|
||||
```json
|
||||
{
|
||||
"id": "uuid",
|
||||
"filename": "arbeitsvertrag.pdf",
|
||||
"mimeType": "application/pdf",
|
||||
"status": "uploaded",
|
||||
"caseId": "uuid-of-case"
|
||||
}
|
||||
```
|
||||
|
||||
### Trigger Clause Analysis
|
||||
|
||||
After uploading, trigger the AI analysis:
|
||||
|
||||
```bash
|
||||
curl -X POST http://localhost:3000/api/contracts/{contractId}/analyze \
|
||||
-b cookies.txt
|
||||
```
|
||||
|
||||
This extracts text from the document, identifies contract clauses, and compares them against NV Bühne standard clauses. The status progresses: `uploaded` -> `extracting` -> `extracted` -> `analyzing` -> `completed`.
|
||||
|
||||
### Get Contract with Analysis Results
|
||||
|
||||
```bash
|
||||
curl http://localhost:3000/api/contracts/{contractId} \
|
||||
-H "x-tenant-id: your-tenant-id" \
|
||||
-b cookies.txt
|
||||
```
|
||||
|
||||
**Response (200):**
|
||||
```json
|
||||
{
|
||||
"document": {
|
||||
"id": "uuid",
|
||||
"filename": "arbeitsvertrag.pdf",
|
||||
"status": "completed"
|
||||
},
|
||||
"clauses": [
|
||||
{
|
||||
"id": "uuid",
|
||||
"category": "Vergütung",
|
||||
"extractedText": "Die monatliche Gage beträgt...",
|
||||
"rating": "standard",
|
||||
"analysis": "Entspricht der Gagenklasse III NV Bühne.",
|
||||
"riskScore": 5,
|
||||
"deviations": []
|
||||
},
|
||||
{
|
||||
"id": "uuid",
|
||||
"category": "Nichtverlängerung",
|
||||
"extractedText": "Der Vertrag kann mit einer Frist von...",
|
||||
"rating": "kritisch",
|
||||
"analysis": "Die Frist weicht von § 69 NV Bühne ab.",
|
||||
"riskScore": 85,
|
||||
"deviations": ["Frist kürzer als tariflich vorgesehen"]
|
||||
}
|
||||
]
|
||||
}
|
||||
```
|
||||
|
||||
**Clause Categories:** Vertragsparteien, Vertragsdauer, Nichtverlängerung, Vergütung, Arbeitszeit, Proben, Gastspiele, Urlaub, Krankheit, Kündigung, Nebentätigkeit, Geheimhaltung, Sonstiges
|
||||
|
||||
**Ratings:** `standard` (conforms to NV Bühne), `abweichend` (deviates), `kritisch` (critical deviation), `unbekannt` (unclassifiable)
|
||||
|
||||
### List Contracts
|
||||
|
||||
```bash
|
||||
curl "http://localhost:3000/api/contracts?limit=20&offset=0" -b cookies.txt
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## 5. Legal Norms (Normen)
|
||||
|
||||
### Create a Norm Instrument
|
||||
|
||||
```bash
|
||||
curl -X POST http://localhost:3000/api/norms \
|
||||
-H "Content-Type: application/json" \
|
||||
-b cookies.txt \
|
||||
-d '{
|
||||
"type": "tarifvertrag",
|
||||
"sourceRank": "tarifvertrag",
|
||||
"abbreviation": "NV Bühne",
|
||||
"fullTitle": "Normalvertrag Bühne",
|
||||
"enactedAt": "2023-01-01",
|
||||
"issuingBody": "GDBA / VdO / DBV"
|
||||
}'
|
||||
```
|
||||
|
||||
### Import Norm Provisions (Bulk)
|
||||
|
||||
```bash
|
||||
curl -X POST http://localhost:3000/api/norms/import \
|
||||
-H "Content-Type: application/json" \
|
||||
-b cookies.txt \
|
||||
-d '{
|
||||
"instrumentId": "uuid-of-instrument",
|
||||
"provisions": [
|
||||
{
|
||||
"paragraph": "§ 1",
|
||||
"title": "Geltungsbereich",
|
||||
"body": "Dieser Normalvertrag gilt für alle Bühnenmitglieder...",
|
||||
"validFrom": "2023-01-01",
|
||||
"domains": ["nv_buehne"]
|
||||
},
|
||||
{
|
||||
"paragraph": "§ 69",
|
||||
"title": "Nichtverlängerungsmitteilung",
|
||||
"body": "Die Nichtverlängerungsmitteilung muss bis zum 31. Oktober...",
|
||||
"validFrom": "2023-01-01",
|
||||
"domains": ["nv_buehne", "nichtverlängerung"]
|
||||
}
|
||||
]
|
||||
}'
|
||||
```
|
||||
|
||||
### Query Norms (with Temporal Versioning)
|
||||
|
||||
Retrieve all paragraphs of an instrument valid on a specific date:
|
||||
|
||||
```bash
|
||||
# Norms valid today (default)
|
||||
curl http://localhost:3000/api/norms/{instrumentId} -b cookies.txt
|
||||
|
||||
# Norms valid on a specific date (Stichtag)
|
||||
curl "http://localhost:3000/api/norms/{instrumentId}?date=2024-06-15" -b cookies.txt
|
||||
```
|
||||
|
||||
**Response (200):**
|
||||
```json
|
||||
{
|
||||
"instrument": {
|
||||
"id": "uuid",
|
||||
"abbreviation": "NV Bühne",
|
||||
"fullTitle": "Normalvertrag Bühne",
|
||||
"type": "tarifvertrag"
|
||||
},
|
||||
"provisions": [
|
||||
{
|
||||
"id": "uuid",
|
||||
"paragraph": "§ 1",
|
||||
"title": "Geltungsbereich",
|
||||
"body": "Dieser Normalvertrag gilt für alle Bühnenmitglieder...",
|
||||
"validFrom": "2023-01-01",
|
||||
"validTo": null
|
||||
}
|
||||
]
|
||||
}
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## 6. Decisions (Entscheidungen)
|
||||
|
||||
### Create a Decision
|
||||
|
||||
```bash
|
||||
curl -X POST http://localhost:3000/api/decisions \
|
||||
-H "Content-Type: application/json" \
|
||||
-b cookies.txt \
|
||||
-d '{
|
||||
"type": "schiedsspruch",
|
||||
"caseReference": "BSchG Berlin 3/2024",
|
||||
"decisionDate": "2024-03-15",
|
||||
"court": "Bühnenschiedsgericht Berlin",
|
||||
"headnote": "Zur Wirksamkeit einer Nichtverlängerungsmitteilung...",
|
||||
"tenor": "Der Schiedsspruch wird aufgehoben...",
|
||||
"facts": "Der Kläger ist seit 2018 als Solist...",
|
||||
"reasoning": "Die Nichtverlängerungsmitteilung ist unwirksam, weil...",
|
||||
"domains": ["nv_buehne", "nichtverlängerung"],
|
||||
"keywords": ["Nichtverlängerung", "Solist", "Fristversäumnis"]
|
||||
}'
|
||||
```
|
||||
|
||||
### Full-Text Search for Decisions
|
||||
|
||||
Uses PostgreSQL full-text search with German language support:
|
||||
|
||||
```bash
|
||||
# Search by keyword
|
||||
curl "http://localhost:3000/api/decisions?q=Vergütung" -b cookies.txt
|
||||
|
||||
# Combined filters
|
||||
curl "http://localhost:3000/api/decisions?q=Nichtverlängerung&court=Bühnenschiedsgericht&type=schiedsspruch&dateFrom=2020-01-01&dateTo=2024-12-31" \
|
||||
-b cookies.txt
|
||||
```
|
||||
|
||||
### Link Norms to a Decision
|
||||
|
||||
```bash
|
||||
curl -X POST http://localhost:3000/api/decisions/{decisionId}/norms \
|
||||
-H "Content-Type: application/json" \
|
||||
-b cookies.txt \
|
||||
-d '{
|
||||
"normId": "uuid-of-norm-paragraph",
|
||||
"applicationType": "angewendet",
|
||||
"passage": "Rn. 15-18"
|
||||
}'
|
||||
```
|
||||
|
||||
**Application types:** `angewendet` (applied), `zitiert` (cited), `ausgelegt` (interpreted), `verworfen` (rejected)
|
||||
|
||||
---
|
||||
|
||||
## 7. AI-Powered Legal Analysis (Analysen)
|
||||
|
||||
### Create a Streaming Analysis
|
||||
|
||||
```bash
|
||||
curl -X POST http://localhost:3000/api/analyses \
|
||||
-H "Content-Type: application/json" \
|
||||
-b cookies.txt \
|
||||
-d '{
|
||||
"mode": "gutachten",
|
||||
"title": "Wirksamkeit der Nichtverlängerung",
|
||||
"query": "Ist die Nichtverlängerungsmitteilung vom 15.11.2024 wirksam, wenn der Solist seit 15 Jahren am Haus beschäftigt ist?",
|
||||
"normIds": ["uuid-of-§69-nv-buehne"],
|
||||
"decisionIds": ["uuid-of-relevant-decision"],
|
||||
"documentIds": ["uuid-of-uploaded-document"],
|
||||
"stichtag": "2024-11-15",
|
||||
"caseId": "uuid-of-case"
|
||||
}'
|
||||
```
|
||||
|
||||
The response streams text (the AI-generated analysis). The `X-Analysis-Id` response header contains the analysis ID for later retrieval.
|
||||
|
||||
**Analysis Modes:**
|
||||
|
||||
| Mode | Purpose | Requires |
|
||||
|------|---------|----------|
|
||||
| `gutachten` | Expert legal opinion | Norms |
|
||||
| `entscheidung` | Decision proposal based on precedent | Decisions |
|
||||
| `vergleich` | Comparative analysis | Norms or decisions |
|
||||
| `risiko` | Risk assessment with probability ratings | Any sources |
|
||||
|
||||
### Create a Structured Analysis (JSON Output)
|
||||
|
||||
```bash
|
||||
curl -X POST http://localhost:3000/api/analyses/structured \
|
||||
-H "Content-Type: application/json" \
|
||||
-b cookies.txt \
|
||||
-d '{
|
||||
"mode": "risiko",
|
||||
"query": "Risikobewertung für die Kündigung eines Chormitglieds nach § 626 BGB",
|
||||
"normIds": ["uuid1"],
|
||||
"decisionIds": ["uuid2"]
|
||||
}'
|
||||
```
|
||||
|
||||
Returns typed JSON with structured fields depending on the mode.
|
||||
|
||||
### List & Retrieve Analyses
|
||||
|
||||
```bash
|
||||
# List (metadata only, DSGVO-compliant)
|
||||
curl "http://localhost:3000/api/analyses?limit=20&offset=0" -b cookies.txt
|
||||
|
||||
# Get single analysis with full result and sources
|
||||
curl http://localhost:3000/api/analyses/{analysisId} \
|
||||
-H "x-tenant-id: your-tenant-id" \
|
||||
-b cookies.txt
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## 8. Proceedings (Verfahren)
|
||||
|
||||
### Create a Proceeding
|
||||
|
||||
```bash
|
||||
curl -X POST http://localhost:3000/api/proceedings \
|
||||
-H "Content-Type: application/json" \
|
||||
-d '{
|
||||
"tenantId": "your-tenant-id",
|
||||
"type": "bschgo_bezirk",
|
||||
"caseId": "uuid-of-case",
|
||||
"applicant": "Max Mustermann",
|
||||
"respondent": "Staatstheater Berlin",
|
||||
"subject": "Nichtverlängerung Spielzeit 2024/25"
|
||||
}'
|
||||
```
|
||||
|
||||
**Proceeding types:** `bschgo_bezirk`, `bschgo_bund`, `arbgg_erste_instanz`, `arbgg_berufung`, `arbgg_revision`
|
||||
|
||||
Workflow steps and initial deadlines are automatically created from templates.
|
||||
|
||||
### Check Deadlines
|
||||
|
||||
```bash
|
||||
# All deadlines
|
||||
curl http://localhost:3000/api/proceedings/{proceedingId}/deadlines
|
||||
|
||||
# Only overdue deadlines
|
||||
curl "http://localhost:3000/api/proceedings/{proceedingId}/deadlines?overdue=true"
|
||||
|
||||
# Upcoming in next 14 days
|
||||
curl "http://localhost:3000/api/proceedings/{proceedingId}/deadlines?upcoming=14"
|
||||
```
|
||||
|
||||
### Advance Proceeding
|
||||
|
||||
```bash
|
||||
curl -X POST http://localhost:3000/api/proceedings/{proceedingId}/advance \
|
||||
-b cookies.txt
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## 9. NV Bühne Utilities
|
||||
|
||||
These are public endpoints (no auth required) for quick calculations.
|
||||
|
||||
### Calculate Compensation (Gage)
|
||||
|
||||
```bash
|
||||
# GET (simple query)
|
||||
curl "http://localhost:3000/api/nv-buehne/compensation?gagenklasse=III&yearsOfService=5&spielzeit=2024/25&fachgruppe=Solo"
|
||||
|
||||
# POST (with tenant-specific rules)
|
||||
curl -X POST http://localhost:3000/api/nv-buehne/compensation \
|
||||
-H "Content-Type: application/json" \
|
||||
-d '{
|
||||
"gagenklasse": "III",
|
||||
"yearsOfService": 5,
|
||||
"spielzeit": "2024/25",
|
||||
"fachgruppe": "Solo",
|
||||
"tenantId": "uuid",
|
||||
"fachgruppeId": "uuid"
|
||||
}'
|
||||
```
|
||||
|
||||
### Check Non-Renewal Deadline (Nichtverlängerungsfrist)
|
||||
|
||||
```bash
|
||||
curl "http://localhost:3000/api/nv-buehne/deadline-check?yearsOfService=15&isOver55=false&spielzeit=2024/25&fachgruppe=Solo&referenceDate=2024-10-31"
|
||||
```
|
||||
|
||||
### Get Current Spielzeit (Season)
|
||||
|
||||
```bash
|
||||
curl "http://localhost:3000/api/nv-buehne/spielzeit"
|
||||
# or for a specific date:
|
||||
curl "http://localhost:3000/api/nv-buehne/spielzeit?date=2024-09-01"
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## 10. Settings
|
||||
|
||||
### Manage AI Provider API Keys
|
||||
|
||||
```bash
|
||||
# List keys (returns hints only, never full keys)
|
||||
curl http://localhost:3000/api/settings/api-keys -b cookies.txt
|
||||
|
||||
# Add an API key
|
||||
curl -X POST http://localhost:3000/api/settings/api-keys \
|
||||
-H "Content-Type: application/json" \
|
||||
-b cookies.txt \
|
||||
-d '{
|
||||
"provider": "anthropic",
|
||||
"apiKey": "sk-ant-...",
|
||||
"label": "Production Key"
|
||||
}'
|
||||
```
|
||||
|
||||
Keys are encrypted at rest with AES-256-GCM.
|
||||
|
||||
---
|
||||
|
||||
## Pagination
|
||||
|
||||
All list endpoints support pagination:
|
||||
|
||||
```
|
||||
?limit=20&offset=0
|
||||
```
|
||||
|
||||
**Response format:**
|
||||
```json
|
||||
{
|
||||
"data": [...],
|
||||
"pagination": {
|
||||
"total": 100,
|
||||
"limit": 20,
|
||||
"offset": 0,
|
||||
"hasMore": true
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
## Error Handling
|
||||
|
||||
All errors return JSON:
|
||||
|
||||
```json
|
||||
{
|
||||
"error": "Human-readable error message"
|
||||
}
|
||||
```
|
||||
|
||||
| Status | Meaning |
|
||||
|--------|---------|
|
||||
| 400 | Validation error (missing/invalid fields) |
|
||||
| 401 | Not authenticated (missing or expired session) |
|
||||
| 403 | Permission denied (role lacks required permission) |
|
||||
| 404 | Resource not found |
|
||||
| 409 | Conflict (duplicate entry) |
|
||||
| 413 | File too large (max 10 MB) |
|
||||
|
||||
## User Roles & Permissions
|
||||
|
||||
| Role | Permissions |
|
||||
|------|------------|
|
||||
| `admin` | Full access, manage settings & users |
|
||||
| `attorney` | Create/edit cases, analyses, norms, decisions |
|
||||
| `paralegal` | Read access + limited write |
|
||||
| `viewer` | Read-only |
|
||||
|
||||
## Typical Workflow
|
||||
|
||||
1. **Register** a tenant and admin user
|
||||
2. **Configure** AI provider API key in Settings
|
||||
3. **Create norms** (import NV Bühne provisions)
|
||||
4. **Upload decisions** (create + link applicable norms)
|
||||
5. **Create a case** for a client
|
||||
6. **Upload documents** (court rulings, contracts as PDF/DOCX)
|
||||
7. **Upload & analyze a contract** to identify clause deviations
|
||||
8. **Run AI analyses** referencing norms, decisions, and documents
|
||||
9. **Create proceedings** to track deadlines and workflow steps
|
||||
60
drizzle/0005_skills_and_analysis_refactor.sql
Normal file
60
drizzle/0005_skills_and_analysis_refactor.sql
Normal file
@@ -0,0 +1,60 @@
|
||||
-- Skills table and analysis refactor migration (AIIA-96)
|
||||
-- Creates tenant-scoped skills table, seeds system skills, and updates analyses table
|
||||
|
||||
-- Step 1: Create skill_output_type enum
|
||||
DO $$ BEGIN
|
||||
CREATE TYPE "skill_output_type" AS ENUM ('analysis', 'structured_data');
|
||||
EXCEPTION
|
||||
WHEN duplicate_object THEN null;
|
||||
END $$;
|
||||
|
||||
-- Step 2: Create skills table
|
||||
CREATE TABLE IF NOT EXISTS "skills" (
|
||||
"id" UUID PRIMARY KEY DEFAULT gen_random_uuid(),
|
||||
"tenant_id" UUID NOT NULL REFERENCES "tenants"("id") ON DELETE CASCADE,
|
||||
"slug" VARCHAR(100) NOT NULL,
|
||||
"name" VARCHAR(255) NOT NULL,
|
||||
"description" TEXT,
|
||||
"system_prompt" TEXT NOT NULL,
|
||||
"output_type" "skill_output_type" NOT NULL DEFAULT 'analysis',
|
||||
"output_schema" JSONB,
|
||||
"requires_norms" BOOLEAN NOT NULL DEFAULT false,
|
||||
"requires_decisions" BOOLEAN NOT NULL DEFAULT false,
|
||||
"is_system" BOOLEAN NOT NULL DEFAULT false,
|
||||
"sort_order" INTEGER NOT NULL DEFAULT 0,
|
||||
"is_active" BOOLEAN NOT NULL DEFAULT true,
|
||||
"created_at" TIMESTAMP WITH TIME ZONE DEFAULT now() NOT NULL,
|
||||
"updated_at" TIMESTAMP WITH TIME ZONE DEFAULT now() NOT NULL
|
||||
);
|
||||
|
||||
CREATE UNIQUE INDEX IF NOT EXISTS "skills_tenant_slug_idx" ON "skills" ("tenant_id", "slug");
|
||||
CREATE INDEX IF NOT EXISTS "skills_tenant_idx" ON "skills" ("tenant_id");
|
||||
CREATE INDEX IF NOT EXISTS "skills_active_idx" ON "skills" ("tenant_id", "is_active");
|
||||
|
||||
-- Step 3: Seed system skills — handled by migration 0006
|
||||
|
||||
-- Step 4: Add skill_id and structured_result columns to analyses
|
||||
ALTER TABLE "analyses"
|
||||
ADD COLUMN IF NOT EXISTS "skill_id" UUID REFERENCES "skills"("id") ON DELETE SET NULL;
|
||||
|
||||
ALTER TABLE "analyses"
|
||||
ADD COLUMN IF NOT EXISTS "structured_result" JSONB;
|
||||
|
||||
-- Step 5: Backfill skill_id from existing mode values
|
||||
UPDATE "analyses" a
|
||||
SET "skill_id" = s.id
|
||||
FROM "skills" s
|
||||
WHERE s.tenant_id = a.tenant_id
|
||||
AND s.slug = a.mode::text
|
||||
AND s.is_system = true
|
||||
AND a.skill_id IS NULL;
|
||||
|
||||
-- Step 6: Add RLS policy for skills table
|
||||
ALTER TABLE "skills" ENABLE ROW LEVEL SECURITY;
|
||||
|
||||
DO $$ BEGIN
|
||||
CREATE POLICY "skills_tenant_isolation" ON "skills"
|
||||
USING (tenant_id = current_setting('app.tenant_id', true)::uuid);
|
||||
EXCEPTION
|
||||
WHEN duplicate_object THEN null;
|
||||
END $$;
|
||||
58
drizzle/0006_seed_system_skills_fix.sql
Normal file
58
drizzle/0006_seed_system_skills_fix.sql
Normal file
@@ -0,0 +1,58 @@
|
||||
-- Fix: properly seed system skills with full system prompts
|
||||
-- The original migration (0005) had a broken CROSS JOIN that failed to insert skills.
|
||||
-- This migration uses individual INSERTs per tenant to avoid the issue.
|
||||
|
||||
-- Base instructions shared by all skills
|
||||
-- (embedded directly in each prompt below)
|
||||
|
||||
DO $$
|
||||
DECLARE
|
||||
tenant_record RECORD;
|
||||
base_prompt TEXT := E'Du bist ein juristischer Assistent für deutsches Bühnenrecht (Theaterrecht).\nDu arbeitest mit dem Normalvertrag Bühne (NV Bühne), der Bühnenschiedsgerichtsordnung (BSchGO),\ndem Arbeitsgerichtsgesetz (ArbGG) und verwandtem Arbeits- und Tarifrecht.\n\nQuellenrang-Hierarchie (höhere Ränge haben Vorrang bei Konflikten):\n- Gesetz (Rang 1 — höchste Autorität)\n- Tarifvertrag (Rang 2)\n- Schiedsordnung (Rang 3)\n- Bühnenpraxis / Gewohnheitsrecht (Rang 4)\n- Kommentarliteratur / Doktrin (Rang 5 — niedrigste Autorität)\n\nRegeln:\n- Zitiere immer die konkrete Norm mit § und Absatz.\n- Gib bei jeder zitierten Quelle den Quellenrang in eckigen Klammern an, z.B. [Rang 1: Gesetz].\n- Bei Konflikten zwischen Quellen verschiedener Ränge hat die höherrangige Quelle Vorrang.\n- Antworte ausschließlich auf Deutsch.\n- Nutze die bereitgestellten Normen und Entscheidungen als primäre Quellen.';
|
||||
BEGIN
|
||||
FOR tenant_record IN SELECT id FROM tenants LOOP
|
||||
-- Gutachten
|
||||
INSERT INTO skills (tenant_id, slug, name, description, system_prompt, output_type, requires_norms, requires_decisions, is_system, sort_order, is_active)
|
||||
VALUES (
|
||||
tenant_record.id,
|
||||
'gutachten',
|
||||
'Rechtsgutachten',
|
||||
'Strukturiertes Gutachten nach klassischer Methodik (Obersatz → Definition → Subsumtion → Ergebnis)',
|
||||
base_prompt || E'\n\nModus: GUTACHTEN (Rechtsgutachten)\n\nErstelle ein strukturiertes Rechtsgutachten nach der klassischen Methodik:\n\n1. **Sachverhalt** — Kurze Zusammenfassung des zu prüfenden Sachverhalts\n2. **Rechtsfrage** — Präzise Formulierung der zu klärenden Rechtsfrage(n)\n3. **Obersatz** — Abstrakte Rechtsregel aus der einschlägigen Norm\n4. **Definition** — Auslegung der relevanten Tatbestandsmerkmale\n5. **Untersatz** — Subsumtion des Sachverhalts unter die Norm\n6. **Ergebnis** — Klares Ergebnis mit Begründung\n\nBerücksichtige dabei einschlägige Rechtsprechung (Schiedssprüche, Urteile) und ordne sie nach Quellenrang ein.',
|
||||
'analysis', true, true, true, 0, true
|
||||
) ON CONFLICT DO NOTHING;
|
||||
|
||||
-- Entscheidungsvorhersage
|
||||
INSERT INTO skills (tenant_id, slug, name, description, system_prompt, output_type, requires_norms, requires_decisions, is_system, sort_order, is_active)
|
||||
VALUES (
|
||||
tenant_record.id,
|
||||
'entscheidung',
|
||||
'Entscheidungsvorhersage',
|
||||
'Prognose der wahrscheinlichen gerichtlichen/schiedsgerichtlichen Entscheidung',
|
||||
base_prompt || E'\n\nModus: ENTSCHEIDUNG (Entscheidungsvorhersage)\n\nAnalysiere den Sachverhalt und prognostiziere die wahrscheinliche Entscheidung:\n\n1. **Sachverhalt** — Zusammenfassung der relevanten Tatsachen\n2. **Einschlägige Normen** — Anwendbare Vorschriften mit Quellenrang\n3. **Bisherige Rechtsprechung** — Relevante Präzedenzfälle und deren Entscheidungslinien\n4. **Prognose** — Wahrscheinlichste Entscheidung mit Begründung\n5. **Risikofaktoren** — Faktoren, die das Ergebnis beeinflussen könnten\n6. **Empfehlung** — Handlungsempfehlung für den Mandanten\n\nStütze die Prognose auf konkrete Entscheidungen und deren Leitsätze.',
|
||||
'analysis', true, true, true, 1, true
|
||||
) ON CONFLICT DO NOTHING;
|
||||
|
||||
-- Vergleichsvorschlag
|
||||
INSERT INTO skills (tenant_id, slug, name, description, system_prompt, output_type, requires_norms, requires_decisions, is_system, sort_order, is_active)
|
||||
VALUES (
|
||||
tenant_record.id,
|
||||
'vergleich',
|
||||
'Vergleichsvorschlag',
|
||||
'Erarbeitung eines Vergleichsvorschlags mit Bewertung der Erfolgsaussichten',
|
||||
base_prompt || E'\n\nModus: VERGLEICH (Vergleichsvorschlag)\n\nErarbeite einen Vergleichsvorschlag:\n\n1. **Ausgangslage** — Positionen beider Parteien\n2. **Rechtslage** — Einschlägige Normen und deren Wertung\n3. **Erfolgsaussichten** — Prozentuale Einschätzung für jede Partei (mit Begründung)\n4. **Vergleichsvorschlag** — Konkreter Kompromissvorschlag\n5. **Vor-/Nachteile** — Bewertung des Vorschlags für beide Seiten\n6. **Umsetzung** — Praktische Schritte zur Umsetzung\n\nBeziehe die wirtschaftlichen Interessen beider Seiten ein (Kosten, Zeit, Reputation).',
|
||||
'analysis', true, false, true, 2, true
|
||||
) ON CONFLICT DO NOTHING;
|
||||
|
||||
-- Risikoanalyse
|
||||
INSERT INTO skills (tenant_id, slug, name, description, system_prompt, output_type, requires_norms, requires_decisions, is_system, sort_order, is_active)
|
||||
VALUES (
|
||||
tenant_record.id,
|
||||
'risiko',
|
||||
'Risikoanalyse',
|
||||
'Umfassende Risikoanalyse mit Eintrittswahrscheinlichkeiten und Minderungsstrategien',
|
||||
base_prompt || E'\n\nModus: RISIKO (Risikoanalyse)\n\nErstelle eine umfassende Risikoanalyse:\n\n1. **Sachverhalt** — Zusammenfassung der Situation\n2. **Identifizierte Risiken** — Auflistung aller rechtlichen Risiken, jeweils mit:\n - Beschreibung des Risikos\n - Eintrittswahrscheinlichkeit (hoch/mittel/gering)\n - Schadensausmaß (hoch/mittel/gering)\n - Einschlägige Norm(en) mit Quellenrang\n3. **Risikomatrix** — Tabellarische Übersicht (Wahrscheinlichkeit × Auswirkung)\n4. **Minderungsstrategien** — Konkrete Maßnahmen je Risiko\n5. **Priorisierung** — Dringlichste Handlungsempfehlungen\n\nBewerte jedes Risiko anhand der aktuellen Rechtslage und Rechtsprechung.',
|
||||
'analysis', true, true, true, 3, true
|
||||
) ON CONFLICT DO NOTHING;
|
||||
END LOOP;
|
||||
END $$;
|
||||
@@ -36,6 +36,27 @@
|
||||
"when": 1775856000000,
|
||||
"tag": "0004_document_source_scope",
|
||||
"breakpoints": true
|
||||
},
|
||||
{
|
||||
"idx": 5,
|
||||
"version": "7",
|
||||
"when": 1776364800000,
|
||||
"tag": "0005_skills_and_analysis_refactor",
|
||||
"breakpoints": true
|
||||
},
|
||||
{
|
||||
"idx": 6,
|
||||
"version": "7",
|
||||
"when": 1776451200000,
|
||||
"tag": "0006_seed_system_skills_fix",
|
||||
"breakpoints": true
|
||||
},
|
||||
{
|
||||
"idx": 7,
|
||||
"version": "7",
|
||||
"when": 1776537600000,
|
||||
"tag": "0004_add_openrouter_provider",
|
||||
"breakpoints": true
|
||||
}
|
||||
]
|
||||
}
|
||||
@@ -1,6 +1,6 @@
|
||||
'use client';
|
||||
|
||||
import { useState } from 'react';
|
||||
import { useState, useEffect, useMemo } from 'react';
|
||||
import SourceSelection from '@/components/documents/source-selection';
|
||||
|
||||
interface CaseOption {
|
||||
@@ -9,25 +9,89 @@ interface CaseOption {
|
||||
caseNumber: string;
|
||||
}
|
||||
|
||||
const MODES = [
|
||||
{ key: 'gutachten', label: 'Gutachten' },
|
||||
{ key: 'entscheidung', label: 'Entscheidungsprognose' },
|
||||
{ key: 'vergleich', label: 'Vergleichsanalyse' },
|
||||
{ key: 'risiko', label: 'Risikoanalyse' },
|
||||
] as const;
|
||||
interface SkillOption {
|
||||
id: string;
|
||||
slug: string;
|
||||
name: string;
|
||||
description: string | null;
|
||||
outputType: 'analysis' | 'structured_data';
|
||||
outputSchema: Record<string, unknown> | null;
|
||||
}
|
||||
|
||||
/** Render a structured data result as a key-value table. */
|
||||
function StructuredDataResult({ data }: { data: Record<string, unknown> }) {
|
||||
const entries = Object.entries(data);
|
||||
if (entries.length === 0) return <p className="text-sm text-muted">Keine Daten.</p>;
|
||||
|
||||
return (
|
||||
<table className="w-full text-sm border-collapse">
|
||||
<thead>
|
||||
<tr className="border-b border-card-border">
|
||||
<th className="text-left py-2 pr-4 font-medium text-foreground">Feld</th>
|
||||
<th className="text-left py-2 font-medium text-foreground">Wert</th>
|
||||
</tr>
|
||||
</thead>
|
||||
<tbody>
|
||||
{entries.map(([key, value]) => (
|
||||
<tr key={key} className="border-b border-card-border/50">
|
||||
<td className="py-2 pr-4 text-muted font-medium whitespace-nowrap">{key}</td>
|
||||
<td className="py-2 text-foreground">
|
||||
{typeof value === 'object' && value !== null
|
||||
? JSON.stringify(value, null, 2)
|
||||
: String(value ?? '—')}
|
||||
</td>
|
||||
</tr>
|
||||
))}
|
||||
</tbody>
|
||||
</table>
|
||||
);
|
||||
}
|
||||
|
||||
export default function AnalyseForm({ cases }: { cases: CaseOption[] }) {
|
||||
const [mode, setMode] = useState<string>('gutachten');
|
||||
const [skills, setSkills] = useState<SkillOption[]>([]);
|
||||
const [skillSlug, setSkillSlug] = useState('');
|
||||
const [caseId, setCaseId] = useState('');
|
||||
const [question, setQuestion] = useState('');
|
||||
const [selectedDocumentIds, setSelectedDocumentIds] = useState<string[]>([]);
|
||||
const [result, setResult] = useState('');
|
||||
const [loading, setLoading] = useState(false);
|
||||
const [skillsLoading, setSkillsLoading] = useState(true);
|
||||
const [error, setError] = useState('');
|
||||
|
||||
const selectedSkill = useMemo(
|
||||
() => skills.find((s) => s.slug === skillSlug),
|
||||
[skills, skillSlug],
|
||||
);
|
||||
|
||||
useEffect(() => {
|
||||
fetch('/api/skills')
|
||||
.then((res) => (res.ok ? res.json() : []))
|
||||
.then((data: SkillOption[]) => {
|
||||
setSkills(data);
|
||||
if (data.length > 0 && !skillSlug) {
|
||||
setSkillSlug(data[0].slug);
|
||||
}
|
||||
})
|
||||
.catch(() => setSkills([]))
|
||||
.finally(() => setSkillsLoading(false));
|
||||
}, []); // eslint-disable-line react-hooks/exhaustive-deps
|
||||
|
||||
/** Try to parse a JSON structured-data response from streamed text. */
|
||||
function tryParseStructured(text: string): Record<string, unknown> | null {
|
||||
try {
|
||||
const parsed = JSON.parse(text.trim());
|
||||
if (typeof parsed === 'object' && parsed !== null && !Array.isArray(parsed)) {
|
||||
return parsed as Record<string, unknown>;
|
||||
}
|
||||
} catch {
|
||||
// Not valid JSON (yet) — show as text
|
||||
}
|
||||
return null;
|
||||
}
|
||||
|
||||
async function handleSubmit(e: React.FormEvent) {
|
||||
e.preventDefault();
|
||||
if (!question.trim()) return;
|
||||
if (!question.trim() || !skillSlug) return;
|
||||
|
||||
setError('');
|
||||
setResult('');
|
||||
@@ -38,8 +102,9 @@ export default function AnalyseForm({ cases }: { cases: CaseOption[] }) {
|
||||
method: 'POST',
|
||||
headers: { 'Content-Type': 'application/json' },
|
||||
body: JSON.stringify({
|
||||
mode,
|
||||
title: `${MODES.find((m) => m.key === mode)?.label ?? mode} — ${question.trim().slice(0, 80)}`,
|
||||
mode: skillSlug,
|
||||
skillId: selectedSkill?.id,
|
||||
title: `${selectedSkill?.name ?? skillSlug} — ${question.trim().slice(0, 80)}`,
|
||||
query: question.trim(),
|
||||
caseId: caseId || undefined,
|
||||
documentIds: selectedDocumentIds.length > 0 ? selectedDocumentIds : undefined,
|
||||
@@ -69,21 +134,37 @@ export default function AnalyseForm({ cases }: { cases: CaseOption[] }) {
|
||||
}
|
||||
}
|
||||
|
||||
const isStructuredSkill = selectedSkill?.outputType === 'structured_data';
|
||||
const structuredData = isStructuredSkill && result ? tryParseStructured(result) : null;
|
||||
|
||||
return (
|
||||
<div className="space-y-6">
|
||||
<form onSubmit={handleSubmit} className="bg-card-bg border border-card-border rounded-xl p-6 space-y-4">
|
||||
<div className="grid grid-cols-1 sm:grid-cols-2 gap-4">
|
||||
<div>
|
||||
<label className="block text-sm font-medium text-foreground mb-1">Analysemodus</label>
|
||||
<select
|
||||
value={mode}
|
||||
onChange={(e) => setMode(e.target.value)}
|
||||
className="w-full rounded-lg border border-card-border px-3 py-2.5 text-sm bg-white focus:outline-none focus:ring-2 focus:ring-primary/30 focus:border-primary"
|
||||
>
|
||||
{MODES.map((m) => (
|
||||
<option key={m.key} value={m.key}>{m.label}</option>
|
||||
))}
|
||||
</select>
|
||||
{skillsLoading ? (
|
||||
<div className="w-full rounded-lg border border-card-border px-3 py-2.5 text-sm bg-white text-muted">
|
||||
Lade Skills…
|
||||
</div>
|
||||
) : skills.length === 0 ? (
|
||||
<div className="w-full rounded-lg border border-card-border px-3 py-2.5 text-sm bg-white text-muted">
|
||||
Keine Skills verfügbar
|
||||
</div>
|
||||
) : (
|
||||
<select
|
||||
value={skillSlug}
|
||||
onChange={(e) => setSkillSlug(e.target.value)}
|
||||
className="w-full rounded-lg border border-card-border px-3 py-2.5 text-sm bg-white focus:outline-none focus:ring-2 focus:ring-primary/30 focus:border-primary"
|
||||
>
|
||||
{skills.map((s) => (
|
||||
<option key={s.slug} value={s.slug}>{s.name}</option>
|
||||
))}
|
||||
</select>
|
||||
)}
|
||||
{selectedSkill?.description && (
|
||||
<p className="mt-1 text-xs text-muted leading-relaxed">{selectedSkill.description}</p>
|
||||
)}
|
||||
</div>
|
||||
|
||||
<div>
|
||||
@@ -125,7 +206,7 @@ export default function AnalyseForm({ cases }: { cases: CaseOption[] }) {
|
||||
|
||||
<button
|
||||
type="submit"
|
||||
disabled={loading || !question.trim()}
|
||||
disabled={loading || !question.trim() || !skillSlug}
|
||||
className="px-6 py-2.5 bg-primary text-white rounded-lg text-sm font-medium hover:bg-primary-light transition-colors disabled:opacity-50"
|
||||
>
|
||||
{loading ? 'Analyse läuft...' : 'Analyse starten'}
|
||||
@@ -137,12 +218,21 @@ export default function AnalyseForm({ cases }: { cases: CaseOption[] }) {
|
||||
<div className="flex items-center gap-2 mb-4">
|
||||
<h3 className="text-sm font-semibold text-foreground">Ergebnis</h3>
|
||||
<span className="text-xs px-2 py-0.5 rounded-full bg-primary/10 text-primary font-medium">
|
||||
{MODES.find((m) => m.key === mode)?.label}
|
||||
{selectedSkill?.name ?? skillSlug}
|
||||
</span>
|
||||
{isStructuredSkill && (
|
||||
<span className="text-xs px-2 py-0.5 rounded-full bg-secondary/10 text-secondary font-medium">
|
||||
Strukturierte Daten
|
||||
</span>
|
||||
)}
|
||||
</div>
|
||||
<div className="text-sm text-foreground leading-relaxed whitespace-pre-wrap">
|
||||
{result}
|
||||
</div>
|
||||
{structuredData ? (
|
||||
<StructuredDataResult data={structuredData} />
|
||||
) : (
|
||||
<div className="text-sm text-foreground leading-relaxed whitespace-pre-wrap">
|
||||
{result}
|
||||
</div>
|
||||
)}
|
||||
</div>
|
||||
)}
|
||||
</div>
|
||||
|
||||
@@ -5,33 +5,7 @@ import { analyses, cases } from '@/lib/db/schema';
|
||||
import { eq, desc } from 'drizzle-orm';
|
||||
import Link from 'next/link';
|
||||
import AnalyseForm from './analyse-form';
|
||||
|
||||
const MODE_INFO = [
|
||||
{
|
||||
key: 'gutachten',
|
||||
label: 'Gutachten',
|
||||
description: 'Systematische Rechtsprüfung nach dem juristischen Gutachtenstil (Obersatz, Definition, Subsumtion, Ergebnis).',
|
||||
icon: 'M9 12h6m-6 4h6m2 5H7a2 2 0 01-2-2V5a2 2 0 012-2h5.586a1 1 0 01.707.293l5.414 5.414a1 1 0 01.293.707V19a2 2 0 01-2 2z',
|
||||
},
|
||||
{
|
||||
key: 'entscheidung',
|
||||
label: 'Entscheidungsprognose',
|
||||
description: 'Prognose der wahrscheinlichen Gerichts- oder Schiedsentscheidung mit Präzedenzfällen.',
|
||||
icon: 'M3 6l3 1m0 0l-3 9a5.002 5.002 0 006.001 0M6 7l3 9M6 7l6-2m6 2l3-1m-3 1l-3 9a5.002 5.002 0 006.001 0M18 7l3 9m-3-9l-6-2m0-2v2m0 16V5m0 16H9m3 0h3',
|
||||
},
|
||||
{
|
||||
key: 'vergleich',
|
||||
label: 'Vergleichsanalyse',
|
||||
description: 'Bewertung von Vergleichsoptionen: Erfolgsaussichten, Wirtschaftlichkeit, Risiko.',
|
||||
icon: 'M9 19v-6a2 2 0 00-2-2H5a2 2 0 00-2 2v6a2 2 0 002 2h2a2 2 0 002-2zm0 0V9a2 2 0 012-2h2a2 2 0 012 2v10m-6 0a2 2 0 002 2h2a2 2 0 002-2m0 0V5a2 2 0 012-2h2a2 2 0 012 2v14a2 2 0 01-2 2h-2a2 2 0 01-2-2z',
|
||||
},
|
||||
{
|
||||
key: 'risiko',
|
||||
label: 'Risikoanalyse',
|
||||
description: 'Risikomatrix mit Fristrisiken, Compliance-Risiken und priorisierter Handlungsempfehlung.',
|
||||
icon: 'M12 9v2m0 4h.01m-6.938 4h13.856c1.54 0 2.502-1.667 1.732-2.5L13.732 4c-.77-.833-1.964-.833-2.732 0L4.082 16.5c-.77.833.192 2.5 1.732 2.5z',
|
||||
},
|
||||
];
|
||||
import SkillCards from './skill-cards';
|
||||
|
||||
export default async function AnalysePage() {
|
||||
const session = await getServerSession(authOptions);
|
||||
@@ -67,20 +41,7 @@ export default async function AnalysePage() {
|
||||
</p>
|
||||
</div>
|
||||
|
||||
<div className="grid grid-cols-1 sm:grid-cols-2 lg:grid-cols-4 gap-4">
|
||||
{MODE_INFO.map((mode) => (
|
||||
<div
|
||||
key={mode.key}
|
||||
className="bg-card-bg border border-card-border rounded-xl p-4"
|
||||
>
|
||||
<svg className="w-6 h-6 text-primary mb-2" fill="none" stroke="currentColor" strokeWidth="1.5" viewBox="0 0 24 24">
|
||||
<path strokeLinecap="round" strokeLinejoin="round" d={mode.icon} />
|
||||
</svg>
|
||||
<h4 className="text-sm font-semibold text-foreground">{mode.label}</h4>
|
||||
<p className="text-xs text-muted mt-1 leading-relaxed">{mode.description}</p>
|
||||
</div>
|
||||
))}
|
||||
</div>
|
||||
<SkillCards />
|
||||
|
||||
<AnalyseForm cases={tenantCases} />
|
||||
|
||||
@@ -92,9 +53,7 @@ export default async function AnalysePage() {
|
||||
<Link key={a.id} href={`/analyse/${a.id}`} className="px-5 py-4 flex items-center justify-between hover:bg-gray-50 transition-colors">
|
||||
<div>
|
||||
<p className="text-sm font-medium text-foreground">{a.title || 'Ohne Titel'}</p>
|
||||
<p className="text-xs text-muted mt-0.5">
|
||||
{MODE_INFO.find((m) => m.key === a.mode)?.label ?? a.mode}
|
||||
</p>
|
||||
<p className="text-xs text-muted mt-0.5">{a.mode}</p>
|
||||
</div>
|
||||
<span className="text-xs text-muted">
|
||||
{new Date(a.createdAt).toLocaleDateString('de-DE')}
|
||||
|
||||
51
src/app/(dashboard)/analyse/skill-cards.tsx
Normal file
51
src/app/(dashboard)/analyse/skill-cards.tsx
Normal file
@@ -0,0 +1,51 @@
|
||||
'use client';
|
||||
|
||||
import { useState, useEffect } from 'react';
|
||||
|
||||
interface SkillSummary {
|
||||
slug: string;
|
||||
name: string;
|
||||
description: string | null;
|
||||
}
|
||||
|
||||
/** Map well-known system skill slugs to distinct SVG paths */
|
||||
const SKILL_ICONS: Record<string, string> = {
|
||||
gutachten: 'M9 12h6m-6 4h6m2 5H7a2 2 0 01-2-2V5a2 2 0 012-2h5.586a1 1 0 01.707.293l5.414 5.414a1 1 0 01.293.707V19a2 2 0 01-2 2z',
|
||||
entscheidung: 'M3 6l3 1m0 0l-3 9a5.002 5.002 0 006.001 0M6 7l3 9M6 7l6-2m6 2l3-1m-3 1l-3 9a5.002 5.002 0 006.001 0M18 7l3 9m-3-9l-6-2m0-2v2m0 16V5m0 16H9m3 0h3',
|
||||
vergleich: 'M9 19v-6a2 2 0 00-2-2H5a2 2 0 00-2 2v6a2 2 0 002 2h2a2 2 0 002-2zm0 0V9a2 2 0 012-2h2a2 2 0 012 2v10m-6 0a2 2 0 002 2h2a2 2 0 002-2m0 0V5a2 2 0 012-2h2a2 2 0 012 2v14a2 2 0 01-2 2h-2a2 2 0 01-2-2z',
|
||||
risiko: 'M12 9v2m0 4h.01m-6.938 4h13.856c1.54 0 2.502-1.667 1.732-2.5L13.732 4c-.77-.833-1.964-.833-2.732 0L4.082 16.5c-.77.833.192 2.5 1.732 2.5z',
|
||||
};
|
||||
|
||||
const DEFAULT_ICON = 'M13 10V3L4 14h7v7l9-11h-7z';
|
||||
|
||||
export default function SkillCards() {
|
||||
const [skills, setSkills] = useState<SkillSummary[]>([]);
|
||||
|
||||
useEffect(() => {
|
||||
fetch('/api/skills')
|
||||
.then((res) => (res.ok ? res.json() : []))
|
||||
.then((data: SkillSummary[]) => setSkills(data))
|
||||
.catch(() => setSkills([]));
|
||||
}, []);
|
||||
|
||||
if (skills.length === 0) return null;
|
||||
|
||||
return (
|
||||
<div className="grid grid-cols-1 sm:grid-cols-2 lg:grid-cols-4 gap-4">
|
||||
{skills.map((skill) => (
|
||||
<div
|
||||
key={skill.slug}
|
||||
className="bg-card-bg border border-card-border rounded-xl p-4"
|
||||
>
|
||||
<svg className="w-6 h-6 text-primary mb-2" fill="none" stroke="currentColor" strokeWidth="1.5" viewBox="0 0 24 24">
|
||||
<path strokeLinecap="round" strokeLinejoin="round" d={SKILL_ICONS[skill.slug] ?? DEFAULT_ICON} />
|
||||
</svg>
|
||||
<h4 className="text-sm font-semibold text-foreground">{skill.name}</h4>
|
||||
{skill.description && (
|
||||
<p className="text-xs text-muted mt-1 leading-relaxed">{skill.description}</p>
|
||||
)}
|
||||
</div>
|
||||
))}
|
||||
</div>
|
||||
);
|
||||
}
|
||||
@@ -18,9 +18,18 @@ export async function POST(request: NextRequest) {
|
||||
const { ctx } = auth;
|
||||
|
||||
const body = await request.json();
|
||||
const { mode, title, query, caseId, normIds, decisionIds, documentIds, stichtag } = body;
|
||||
const { skillId, skillSlug, mode, title, query, caseId, normIds, decisionIds, documentIds, stichtag } = body;
|
||||
|
||||
if (!mode || !VALID_MODES.has(mode)) {
|
||||
// Require at least one of skillId, skillSlug, or mode
|
||||
if (!skillId && !skillSlug && !mode) {
|
||||
return Response.json(
|
||||
{ error: 'Either skillId, skillSlug, or mode is required' },
|
||||
{ status: 400 },
|
||||
);
|
||||
}
|
||||
|
||||
// Validate legacy mode if provided
|
||||
if (mode && !skillId && !skillSlug && !VALID_MODES.has(mode)) {
|
||||
return Response.json(
|
||||
{ error: `Invalid mode. Must be one of: ${[...VALID_MODES].join(', ')}` },
|
||||
{ status: 400 },
|
||||
@@ -34,10 +43,12 @@ export async function POST(request: NextRequest) {
|
||||
);
|
||||
}
|
||||
|
||||
const { analysisId, stream } = await runAnalysis({
|
||||
const result = await runAnalysis({
|
||||
tenantId: ctx.tenantId,
|
||||
userId: ctx.userId,
|
||||
caseId,
|
||||
skillId,
|
||||
skillSlug,
|
||||
mode,
|
||||
title,
|
||||
query,
|
||||
@@ -50,11 +61,19 @@ export async function POST(request: NextRequest) {
|
||||
const ip = request.headers.get('x-forwarded-for')?.split(',')[0]?.trim()
|
||||
?? request.headers.get('x-real-ip')
|
||||
?? undefined;
|
||||
await logAuditEvent(ctx, 'create', 'analysis', analysisId, { mode, title }, ip);
|
||||
await logAuditEvent(ctx, 'create', 'analysis', result.analysisId, { skillId, skillSlug, mode, title }, ip);
|
||||
|
||||
// If structured result (no stream), return JSON
|
||||
if ('structuredResult' in result) {
|
||||
return Response.json({
|
||||
analysisId: result.analysisId,
|
||||
structuredResult: result.structuredResult,
|
||||
});
|
||||
}
|
||||
|
||||
// Return streaming response with analysis ID in header
|
||||
const response = stream.toTextStreamResponse();
|
||||
response.headers.set('X-Analysis-Id', analysisId);
|
||||
const response = result.stream.toTextStreamResponse();
|
||||
response.headers.set('X-Analysis-Id', result.analysisId);
|
||||
return response;
|
||||
}
|
||||
|
||||
@@ -76,6 +95,7 @@ export async function GET(request: NextRequest) {
|
||||
id: analyses.id,
|
||||
title: analyses.title,
|
||||
mode: analyses.mode,
|
||||
skillId: analyses.skillId,
|
||||
status: analyses.status,
|
||||
createdAt: analyses.createdAt,
|
||||
updatedAt: analyses.updatedAt,
|
||||
|
||||
@@ -3,11 +3,9 @@
|
||||
|
||||
import { type NextRequest } from 'next/server';
|
||||
import { runStructuredAnalysis } from '@/lib/ai/structured-analysis';
|
||||
import { AnalyseMode } from '@/types';
|
||||
import { resolveAnalysisMode } from '@/lib/ai/modes';
|
||||
import { requirePermission } from '@/lib/auth/rbac';
|
||||
|
||||
const VALID_MODES = new Set(Object.values(AnalyseMode));
|
||||
|
||||
export async function POST(request: NextRequest) {
|
||||
const auth = await requirePermission('analyses:create');
|
||||
if ('response' in auth) return auth.response;
|
||||
@@ -25,9 +23,17 @@ export async function POST(request: NextRequest) {
|
||||
additionalContext,
|
||||
} = body;
|
||||
|
||||
if (!mode || !VALID_MODES.has(mode)) {
|
||||
if (!mode || typeof mode !== 'string') {
|
||||
return Response.json(
|
||||
{ error: `Invalid mode. Must be one of: ${[...VALID_MODES].join(', ')}` },
|
||||
{ error: 'mode is required' },
|
||||
{ status: 400 },
|
||||
);
|
||||
}
|
||||
|
||||
const modeConfig = await resolveAnalysisMode(mode, ctx.tenantId);
|
||||
if (!modeConfig) {
|
||||
return Response.json(
|
||||
{ error: `Unbekannter Analysemodus: ${mode}` },
|
||||
{ status: 400 },
|
||||
);
|
||||
}
|
||||
|
||||
@@ -50,7 +50,14 @@ export async function PATCH(
|
||||
auditDetails.isActive = isActive;
|
||||
}
|
||||
if (apiKey && typeof apiKey === 'string' && apiKey.length >= 8) {
|
||||
updates.encryptedKey = encrypt(apiKey);
|
||||
try {
|
||||
updates.encryptedKey = encrypt(apiKey);
|
||||
} catch {
|
||||
return Response.json(
|
||||
{ error: 'Serverkonfigurationsfehler: Verschlüsselung nicht verfügbar. Bitte ENCRYPTION_KEY prüfen.' },
|
||||
{ status: 500 },
|
||||
);
|
||||
}
|
||||
updates.keyHint = keyHint(apiKey);
|
||||
auditDetails.keyRotated = true;
|
||||
}
|
||||
|
||||
@@ -3,7 +3,7 @@
|
||||
|
||||
import { db } from '@/lib/db';
|
||||
import { tenantApiKeys } from '@/lib/db/schema';
|
||||
import { eq, and } from 'drizzle-orm';
|
||||
import { eq, and, isNull } from 'drizzle-orm';
|
||||
import { requirePermission } from '@/lib/auth/rbac';
|
||||
import { encrypt, keyHint } from '@/lib/crypto';
|
||||
import { logAuditEvent } from '@/lib/auth/audit';
|
||||
@@ -53,15 +53,15 @@ export async function POST(request: Request) {
|
||||
return Response.json({ error: 'API-Schlüssel ist erforderlich (mindestens 8 Zeichen).' }, { status: 400 });
|
||||
}
|
||||
|
||||
// Check for duplicate provider+label
|
||||
// Check for duplicate provider+label (null labels must use IS NULL, not equality)
|
||||
const existing = await db
|
||||
.select({ id: tenantApiKeys.id })
|
||||
.from(tenantApiKeys)
|
||||
.where(
|
||||
and(
|
||||
eq(tenantApiKeys.tenantId, ctx.tenantId),
|
||||
eq(tenantApiKeys.provider, provider as 'anthropic' | 'openai' | 'ollama'),
|
||||
label ? eq(tenantApiKeys.label, label) : undefined,
|
||||
eq(tenantApiKeys.provider, provider as AIProvider),
|
||||
label ? eq(tenantApiKeys.label, label) : isNull(tenantApiKeys.label),
|
||||
),
|
||||
)
|
||||
.limit(1);
|
||||
@@ -73,27 +73,41 @@ export async function POST(request: Request) {
|
||||
);
|
||||
}
|
||||
|
||||
const encryptedKey = encrypt(apiKey);
|
||||
let encryptedKey: string;
|
||||
try {
|
||||
encryptedKey = encrypt(apiKey);
|
||||
} catch {
|
||||
return Response.json(
|
||||
{ error: 'Serverkonfigurationsfehler: Verschlüsselung nicht verfügbar. Bitte ENCRYPTION_KEY prüfen.' },
|
||||
{ status: 500 },
|
||||
);
|
||||
}
|
||||
const hint = keyHint(apiKey);
|
||||
|
||||
const [created] = await db
|
||||
.insert(tenantApiKeys)
|
||||
.values({
|
||||
tenantId: ctx.tenantId,
|
||||
provider: provider as 'anthropic' | 'openai' | 'ollama',
|
||||
encryptedKey,
|
||||
keyHint: hint,
|
||||
label: label || null,
|
||||
createdByUserId: ctx.userId,
|
||||
})
|
||||
.returning({
|
||||
id: tenantApiKeys.id,
|
||||
provider: tenantApiKeys.provider,
|
||||
keyHint: tenantApiKeys.keyHint,
|
||||
label: tenantApiKeys.label,
|
||||
isActive: tenantApiKeys.isActive,
|
||||
createdAt: tenantApiKeys.createdAt,
|
||||
});
|
||||
let created: { id: string; provider: string; keyHint: string; label: string | null; isActive: boolean; createdAt: Date };
|
||||
try {
|
||||
[created] = await db
|
||||
.insert(tenantApiKeys)
|
||||
.values({
|
||||
tenantId: ctx.tenantId,
|
||||
provider: provider as AIProvider,
|
||||
encryptedKey,
|
||||
keyHint: hint,
|
||||
label: label || null,
|
||||
createdByUserId: ctx.userId,
|
||||
})
|
||||
.returning({
|
||||
id: tenantApiKeys.id,
|
||||
provider: tenantApiKeys.provider,
|
||||
keyHint: tenantApiKeys.keyHint,
|
||||
label: tenantApiKeys.label,
|
||||
isActive: tenantApiKeys.isActive,
|
||||
createdAt: tenantApiKeys.createdAt,
|
||||
});
|
||||
} catch (err) {
|
||||
const msg = err instanceof Error ? err.message : String(err);
|
||||
return Response.json({ error: `Datenbankfehler beim Speichern: ${msg}` }, { status: 500 });
|
||||
}
|
||||
|
||||
const ip = request.headers.get('x-forwarded-for')?.split(',')[0]?.trim();
|
||||
await logAuditEvent(ctx, 'create', 'tenant_api_key', created.id, { provider, label: label || null }, ip);
|
||||
|
||||
@@ -2,17 +2,19 @@
|
||||
// PATCH /api/settings/skills/[id] — Update a skill
|
||||
// DELETE /api/settings/skills/[id] — Soft-delete (set isActive = false)
|
||||
|
||||
import { db } from '@/lib/db';
|
||||
import { withTenantDb } from '@/lib/db';
|
||||
import { skills } from '@/lib/db/schema';
|
||||
import { eq, and } from 'drizzle-orm';
|
||||
import { requirePermission } from '@/lib/auth/rbac';
|
||||
|
||||
async function findSkillForTenant(skillId: string, tenantId: string) {
|
||||
const [skill] = await db
|
||||
.select()
|
||||
.from(skills)
|
||||
.where(and(eq(skills.id, skillId), eq(skills.tenantId, tenantId)))
|
||||
.limit(1);
|
||||
const [skill] = await withTenantDb(tenantId, async (tdb) =>
|
||||
tdb
|
||||
.select()
|
||||
.from(skills)
|
||||
.where(eq(skills.id, skillId))
|
||||
.limit(1),
|
||||
);
|
||||
return skill ?? null;
|
||||
}
|
||||
|
||||
@@ -70,11 +72,13 @@ export async function PATCH(
|
||||
{ status: 400 },
|
||||
);
|
||||
}
|
||||
const existing = await db
|
||||
.select({ id: skills.id })
|
||||
.from(skills)
|
||||
.where(and(eq(skills.tenantId, ctx.tenantId), eq(skills.slug, slug)))
|
||||
.limit(1);
|
||||
const existing = await withTenantDb(ctx.tenantId, async (tdb) =>
|
||||
tdb
|
||||
.select({ id: skills.id })
|
||||
.from(skills)
|
||||
.where(eq(skills.slug, slug))
|
||||
.limit(1),
|
||||
);
|
||||
if (existing.length > 0 && existing[0].id !== id) {
|
||||
return Response.json(
|
||||
{ error: 'Ein Skill mit diesem Slug existiert bereits.' },
|
||||
@@ -101,11 +105,13 @@ export async function PATCH(
|
||||
if (requiresDecisions !== undefined) updates.requiresDecisions = requiresDecisions;
|
||||
if (isActive !== undefined) updates.isActive = isActive;
|
||||
|
||||
const [updated] = await db
|
||||
.update(skills)
|
||||
.set(updates)
|
||||
.where(eq(skills.id, id))
|
||||
.returning();
|
||||
const [updated] = await withTenantDb(ctx.tenantId, async (tdb) =>
|
||||
tdb
|
||||
.update(skills)
|
||||
.set(updates)
|
||||
.where(eq(skills.id, id))
|
||||
.returning(),
|
||||
);
|
||||
|
||||
return Response.json(updated);
|
||||
}
|
||||
@@ -132,11 +138,13 @@ export async function DELETE(
|
||||
}
|
||||
|
||||
// Soft-delete: set isActive = false
|
||||
const [updated] = await db
|
||||
.update(skills)
|
||||
.set({ isActive: false, updatedAt: new Date() })
|
||||
.where(eq(skills.id, id))
|
||||
.returning();
|
||||
const [updated] = await withTenantDb(ctx.tenantId, async (tdb) =>
|
||||
tdb
|
||||
.update(skills)
|
||||
.set({ isActive: false, updatedAt: new Date() })
|
||||
.where(eq(skills.id, id))
|
||||
.returning(),
|
||||
);
|
||||
|
||||
return Response.json(updated);
|
||||
}
|
||||
|
||||
@@ -1,8 +1,8 @@
|
||||
// PATCH /api/settings/skills/reorder — Update sort_order for drag-and-drop reordering
|
||||
|
||||
import { db } from '@/lib/db';
|
||||
import { withTenantDb } from '@/lib/db';
|
||||
import { skills } from '@/lib/db/schema';
|
||||
import { eq, and } from 'drizzle-orm';
|
||||
import { eq } from 'drizzle-orm';
|
||||
import { requirePermission } from '@/lib/auth/rbac';
|
||||
|
||||
export async function PATCH(request: Request) {
|
||||
@@ -19,14 +19,14 @@ export async function PATCH(request: Request) {
|
||||
return Response.json({ error: 'order Array ist erforderlich.' }, { status: 400 });
|
||||
}
|
||||
|
||||
// Update each skill's sortOrder within a transaction-like loop
|
||||
// Verify tenant ownership for each skill
|
||||
for (const item of order) {
|
||||
await db
|
||||
.update(skills)
|
||||
.set({ sortOrder: item.sortOrder, updatedAt: new Date() })
|
||||
.where(and(eq(skills.id, item.id), eq(skills.tenantId, ctx.tenantId)));
|
||||
}
|
||||
await withTenantDb(ctx.tenantId, async (tdb) => {
|
||||
for (const item of order) {
|
||||
await tdb
|
||||
.update(skills)
|
||||
.set({ sortOrder: item.sortOrder, updatedAt: new Date() })
|
||||
.where(eq(skills.id, item.id));
|
||||
}
|
||||
});
|
||||
|
||||
return Response.json({ ok: true });
|
||||
}
|
||||
|
||||
@@ -1,7 +1,7 @@
|
||||
// GET /api/settings/skills — List all skills for tenant (sorted by sortOrder)
|
||||
// POST /api/settings/skills — Create a new skill
|
||||
|
||||
import { db } from '@/lib/db';
|
||||
import { withTenantDb } from '@/lib/db';
|
||||
import { skills } from '@/lib/db/schema';
|
||||
import { eq, and, asc } from 'drizzle-orm';
|
||||
import { requirePermission } from '@/lib/auth/rbac';
|
||||
@@ -10,11 +10,12 @@ export async function GET() {
|
||||
const auth = await requirePermission('settings:manage');
|
||||
if ('response' in auth) return auth.response;
|
||||
|
||||
const rows = await db
|
||||
.select()
|
||||
.from(skills)
|
||||
.where(eq(skills.tenantId, auth.ctx.tenantId))
|
||||
.orderBy(asc(skills.sortOrder), asc(skills.createdAt));
|
||||
const rows = await withTenantDb(auth.ctx.tenantId, async (tdb) =>
|
||||
tdb
|
||||
.select()
|
||||
.from(skills)
|
||||
.orderBy(asc(skills.sortOrder), asc(skills.createdAt)),
|
||||
);
|
||||
|
||||
return Response.json(rows);
|
||||
}
|
||||
@@ -58,44 +59,51 @@ export async function POST(request: Request) {
|
||||
);
|
||||
}
|
||||
|
||||
// Check slug uniqueness within tenant
|
||||
const existing = await db
|
||||
.select({ id: skills.id })
|
||||
.from(skills)
|
||||
.where(and(eq(skills.tenantId, ctx.tenantId), eq(skills.slug, slug)))
|
||||
.limit(1);
|
||||
const created = await withTenantDb(ctx.tenantId, async (tdb) => {
|
||||
// Check slug uniqueness within tenant
|
||||
const existing = await tdb
|
||||
.select({ id: skills.id })
|
||||
.from(skills)
|
||||
.where(eq(skills.slug, slug))
|
||||
.limit(1);
|
||||
|
||||
if (existing.length > 0) {
|
||||
if (existing.length > 0) {
|
||||
return null; // slug conflict
|
||||
}
|
||||
|
||||
// Get max sort order for positioning
|
||||
const allSkills = await tdb
|
||||
.select({ sortOrder: skills.sortOrder })
|
||||
.from(skills);
|
||||
const maxOrder = allSkills.reduce((max, s) => Math.max(max, s.sortOrder), -1);
|
||||
|
||||
const [row] = await tdb
|
||||
.insert(skills)
|
||||
.values({
|
||||
tenantId: ctx.tenantId,
|
||||
name,
|
||||
slug,
|
||||
description: description || null,
|
||||
systemPrompt,
|
||||
outputType: (outputType as 'analysis' | 'structured_data') || 'analysis',
|
||||
outputSchema: outputSchema || null,
|
||||
requiresNorms: requiresNorms ?? false,
|
||||
requiresDecisions: requiresDecisions ?? false,
|
||||
isSystem: false,
|
||||
sortOrder: maxOrder + 1,
|
||||
isActive: isActive ?? true,
|
||||
})
|
||||
.returning();
|
||||
|
||||
return row;
|
||||
});
|
||||
|
||||
if (!created) {
|
||||
return Response.json(
|
||||
{ error: 'Ein Skill mit diesem Slug existiert bereits.' },
|
||||
{ status: 409 },
|
||||
);
|
||||
}
|
||||
|
||||
// Get max sort order for positioning
|
||||
const allSkills = await db
|
||||
.select({ sortOrder: skills.sortOrder })
|
||||
.from(skills)
|
||||
.where(eq(skills.tenantId, ctx.tenantId));
|
||||
const maxOrder = allSkills.reduce((max, s) => Math.max(max, s.sortOrder), -1);
|
||||
|
||||
const [created] = await db
|
||||
.insert(skills)
|
||||
.values({
|
||||
tenantId: ctx.tenantId,
|
||||
name,
|
||||
slug,
|
||||
description: description || null,
|
||||
systemPrompt,
|
||||
outputType: (outputType as 'analysis' | 'structured_data') || 'analysis',
|
||||
outputSchema: outputSchema || null,
|
||||
requiresNorms: requiresNorms ?? false,
|
||||
requiresDecisions: requiresDecisions ?? false,
|
||||
isSystem: false,
|
||||
sortOrder: maxOrder + 1,
|
||||
isActive: isActive ?? true,
|
||||
})
|
||||
.returning();
|
||||
|
||||
return Response.json(created, { status: 201 });
|
||||
}
|
||||
|
||||
33
src/app/api/skills/route.ts
Normal file
33
src/app/api/skills/route.ts
Normal file
@@ -0,0 +1,33 @@
|
||||
// GET /api/skills — List active skills for the current tenant (read-only)
|
||||
// Used by the analyse form to populate the skill selector.
|
||||
|
||||
import { withTenantDb } from '@/lib/db';
|
||||
import { skills } from '@/lib/db/schema';
|
||||
import { eq, asc } from 'drizzle-orm';
|
||||
import { requirePermission } from '@/lib/auth/rbac';
|
||||
|
||||
export async function GET() {
|
||||
const auth = await requirePermission('analyses:create');
|
||||
if ('response' in auth) return auth.response;
|
||||
|
||||
const rows = await withTenantDb(auth.ctx.tenantId, async (tdb) =>
|
||||
tdb
|
||||
.select({
|
||||
id: skills.id,
|
||||
slug: skills.slug,
|
||||
name: skills.name,
|
||||
description: skills.description,
|
||||
outputType: skills.outputType,
|
||||
outputSchema: skills.outputSchema,
|
||||
requiresNorms: skills.requiresNorms,
|
||||
requiresDecisions: skills.requiresDecisions,
|
||||
isSystem: skills.isSystem,
|
||||
sortOrder: skills.sortOrder,
|
||||
})
|
||||
.from(skills)
|
||||
.where(eq(skills.isActive, true))
|
||||
.orderBy(asc(skills.sortOrder), asc(skills.createdAt)),
|
||||
);
|
||||
|
||||
return Response.json(rows);
|
||||
}
|
||||
@@ -1,21 +1,28 @@
|
||||
// Core analysis service — orchestrates norm/decision lookup, prompt assembly, and AI generation
|
||||
// Refactored to use DB-driven skills instead of hardcoded ANALYSIS_MODES (AIIA-96)
|
||||
|
||||
import { streamText, generateText } from 'ai';
|
||||
import { streamText, generateText, generateObject, jsonSchema } from 'ai';
|
||||
import { getModelForTenant } from './providers';
|
||||
import { SYSTEM_PROMPTS, buildContextBlock, type AnalysisModeKey } from './prompts';
|
||||
import { buildContextBlock } from './prompts';
|
||||
import { SYSTEM_PROMPTS, type AnalysisModeKey } from './prompts';
|
||||
import { ANALYSIS_MODES } from './modes';
|
||||
import { AnalyseMode } from '@/types';
|
||||
import { db, withTenantDb } from '@/lib/db';
|
||||
import { norms, normInstruments, decisions, analyses, documents } from '@/lib/db/schema';
|
||||
import { norms, normInstruments, decisions, analyses, documents, skills } from '@/lib/db/schema';
|
||||
import { eq, and, lte, or, isNull, gte, inArray } from 'drizzle-orm';
|
||||
|
||||
interface AnalysisInput {
|
||||
tenantId: string;
|
||||
userId: string;
|
||||
caseId?: string;
|
||||
mode: AnalyseMode;
|
||||
title: string;
|
||||
query: string;
|
||||
/** Skill ID — preferred way to select the analysis skill */
|
||||
skillId?: string;
|
||||
/** Skill slug — alternative to skillId (resolved to skill from DB) */
|
||||
skillSlug?: string;
|
||||
/** @deprecated Legacy mode enum — falls back to hardcoded config if no skill found */
|
||||
mode?: AnalyseMode;
|
||||
/** Optional: specific norm IDs to include as context */
|
||||
normIds?: string[];
|
||||
/** Optional: specific decision IDs to include as context */
|
||||
@@ -26,6 +33,91 @@ interface AnalysisInput {
|
||||
stichtag?: string;
|
||||
}
|
||||
|
||||
interface ResolvedSkill {
|
||||
id: string;
|
||||
slug: string;
|
||||
systemPrompt: string;
|
||||
outputType: 'analysis' | 'structured_data';
|
||||
outputSchema: Record<string, unknown> | null;
|
||||
requiresNorms: boolean;
|
||||
requiresDecisions: boolean;
|
||||
}
|
||||
|
||||
/**
|
||||
* Resolve the skill to use for this analysis.
|
||||
* Priority: skillId > skillSlug > mode (legacy fallback)
|
||||
*/
|
||||
async function resolveSkill(
|
||||
tenantId: string,
|
||||
input: Pick<AnalysisInput, 'skillId' | 'skillSlug' | 'mode'>,
|
||||
): Promise<ResolvedSkill> {
|
||||
const skillFields = {
|
||||
id: skills.id,
|
||||
slug: skills.slug,
|
||||
systemPrompt: skills.systemPrompt,
|
||||
outputType: skills.outputType,
|
||||
outputSchema: skills.outputSchema,
|
||||
requiresNorms: skills.requiresNorms,
|
||||
requiresDecisions: skills.requiresDecisions,
|
||||
};
|
||||
|
||||
// Try by skillId first
|
||||
if (input.skillId) {
|
||||
const [skill] = await withTenantDb(tenantId, async (tdb) =>
|
||||
tdb
|
||||
.select(skillFields)
|
||||
.from(skills)
|
||||
.where(and(eq(skills.id, input.skillId!), eq(skills.isActive, true)))
|
||||
.limit(1),
|
||||
);
|
||||
|
||||
if (skill) return skill;
|
||||
throw new Error(`Skill not found: ${input.skillId}`);
|
||||
}
|
||||
|
||||
// Try by skillSlug
|
||||
if (input.skillSlug) {
|
||||
const [skill] = await withTenantDb(tenantId, async (tdb) =>
|
||||
tdb
|
||||
.select(skillFields)
|
||||
.from(skills)
|
||||
.where(and(eq(skills.slug, input.skillSlug!), eq(skills.isActive, true)))
|
||||
.limit(1),
|
||||
);
|
||||
|
||||
if (skill) return skill;
|
||||
throw new Error(`Skill not found: ${input.skillSlug}`);
|
||||
}
|
||||
|
||||
// Legacy fallback: resolve mode enum to a DB skill (system skill with matching slug)
|
||||
if (input.mode) {
|
||||
const [skill] = await withTenantDb(tenantId, async (tdb) =>
|
||||
tdb
|
||||
.select(skillFields)
|
||||
.from(skills)
|
||||
.where(and(eq(skills.slug, input.mode!), eq(skills.isActive, true)))
|
||||
.limit(1),
|
||||
);
|
||||
|
||||
if (skill) return skill;
|
||||
|
||||
// Ultimate fallback: use hardcoded config (pre-migration compatibility)
|
||||
const modeConfig = ANALYSIS_MODES[input.mode];
|
||||
const systemPromptKey = modeConfig.systemPromptKey as AnalysisModeKey;
|
||||
return {
|
||||
id: '',
|
||||
slug: input.mode,
|
||||
systemPrompt: SYSTEM_PROMPTS[systemPromptKey],
|
||||
outputType: 'analysis',
|
||||
outputSchema: null,
|
||||
requiresNorms: modeConfig.requiresNorms,
|
||||
requiresDecisions: modeConfig.requiresDecisions,
|
||||
};
|
||||
}
|
||||
|
||||
throw new Error('Either skillId, skillSlug, or mode must be provided');
|
||||
}
|
||||
|
||||
/**
|
||||
* Fetch norms relevant to the analysis, respecting temporal versioning.
|
||||
* If normIds are given, fetch those. Otherwise fetch all active norms for the tenant.
|
||||
@@ -93,9 +185,6 @@ async function fetchDecisionContext(
|
||||
|
||||
/**
|
||||
* Fetch document content for the analysis context.
|
||||
* When documentIds are given, fetch those specific documents.
|
||||
* Respects source scope: global documents are always available,
|
||||
* case documents only within their case context.
|
||||
*/
|
||||
async function fetchDocumentContext(
|
||||
tenantId: string,
|
||||
@@ -104,6 +193,8 @@ async function fetchDocumentContext(
|
||||
) {
|
||||
if (!documentIds?.length) return [];
|
||||
|
||||
const { withTenantDb } = await import('@/lib/db');
|
||||
|
||||
return withTenantDb(tenantId, async (tdb) => {
|
||||
const conditions = [
|
||||
inArray(documents.id, documentIds),
|
||||
@@ -126,17 +217,17 @@ async function fetchDocumentContext(
|
||||
|
||||
/**
|
||||
* Create an analysis record in the database and return a streaming response.
|
||||
* Supports both free-text (analysis) and structured data output types.
|
||||
*/
|
||||
export async function runAnalysis(input: AnalysisInput) {
|
||||
const modeConfig = ANALYSIS_MODES[input.mode];
|
||||
const systemPromptKey = modeConfig.systemPromptKey as AnalysisModeKey;
|
||||
const skill = await resolveSkill(input.tenantId, input);
|
||||
|
||||
// Fetch context in parallel
|
||||
// Fetch context in parallel based on skill requirements
|
||||
const [normContext, decisionContext, documentContext] = await Promise.all([
|
||||
modeConfig.requiresNorms
|
||||
skill.requiresNorms
|
||||
? fetchNormContext(input.tenantId, input.normIds, input.stichtag)
|
||||
: Promise.resolve([]),
|
||||
modeConfig.requiresDecisions
|
||||
skill.requiresDecisions
|
||||
? fetchDecisionContext(input.tenantId, input.decisionIds)
|
||||
: Promise.resolve([]),
|
||||
input.documentIds?.length
|
||||
@@ -148,6 +239,9 @@ export async function runAnalysis(input: AnalysisInput) {
|
||||
|
||||
const { model, provider, modelId } = await getModelForTenant(input.tenantId);
|
||||
|
||||
// Determine mode value for backwards compatibility
|
||||
const modeValue = input.mode ?? skill.slug;
|
||||
|
||||
// Create the analysis record (status: in_progress)
|
||||
const [analysis] = await db
|
||||
.insert(analyses)
|
||||
@@ -155,7 +249,8 @@ export async function runAnalysis(input: AnalysisInput) {
|
||||
tenantId: input.tenantId,
|
||||
userId: input.userId,
|
||||
caseId: input.caseId ?? null,
|
||||
mode: input.mode,
|
||||
mode: modeValue as AnalyseMode,
|
||||
skillId: skill.id || null,
|
||||
status: 'in_progress',
|
||||
title: input.title,
|
||||
query: input.query,
|
||||
@@ -173,15 +268,45 @@ export async function runAnalysis(input: AnalysisInput) {
|
||||
? `${contextBlock}\n\n---\n\n## Rechtsfrage\n\n${input.query}`
|
||||
: input.query;
|
||||
|
||||
// For structured_data skills, use generateObject() instead of streaming
|
||||
if (skill.outputType === 'structured_data' && skill.outputSchema) {
|
||||
const result = await generateObject({
|
||||
model,
|
||||
system: skill.systemPrompt,
|
||||
messages: [{ role: 'user', content: userMessage }],
|
||||
schema: jsonSchema(skill.outputSchema),
|
||||
maxOutputTokens: 4096,
|
||||
});
|
||||
|
||||
await db
|
||||
.update(analyses)
|
||||
.set({
|
||||
status: 'completed',
|
||||
result: JSON.stringify(result.object, null, 2),
|
||||
structuredResult: result.object as Record<string, unknown>,
|
||||
tokenUsage: {
|
||||
inputTokens: result.usage.inputTokens ?? 0,
|
||||
outputTokens: result.usage.outputTokens ?? 0,
|
||||
},
|
||||
updatedAt: new Date(),
|
||||
})
|
||||
.where(eq(analyses.id, analysis.id));
|
||||
|
||||
return {
|
||||
analysisId: analysis.id,
|
||||
structuredResult: result.object,
|
||||
};
|
||||
}
|
||||
|
||||
// Default: streaming free-text analysis
|
||||
return {
|
||||
analysisId: analysis.id,
|
||||
stream: streamText({
|
||||
model,
|
||||
system: SYSTEM_PROMPTS[systemPromptKey],
|
||||
system: skill.systemPrompt,
|
||||
messages: [{ role: 'user', content: userMessage }],
|
||||
maxOutputTokens: 4096,
|
||||
onFinish: async ({ text, usage }) => {
|
||||
// Update the analysis record with the result
|
||||
await db
|
||||
.update(analyses)
|
||||
.set({
|
||||
@@ -201,16 +326,16 @@ export async function runAnalysis(input: AnalysisInput) {
|
||||
|
||||
/**
|
||||
* Non-streaming analysis — for batch/background use.
|
||||
* Supports both analysis and structured_data output types.
|
||||
*/
|
||||
export async function runAnalysisSync(input: AnalysisInput) {
|
||||
const modeConfig = ANALYSIS_MODES[input.mode];
|
||||
const systemPromptKey = modeConfig.systemPromptKey as AnalysisModeKey;
|
||||
const skill = await resolveSkill(input.tenantId, input);
|
||||
|
||||
const [normContext, decisionContext, documentContext] = await Promise.all([
|
||||
modeConfig.requiresNorms
|
||||
skill.requiresNorms
|
||||
? fetchNormContext(input.tenantId, input.normIds, input.stichtag)
|
||||
: Promise.resolve([]),
|
||||
modeConfig.requiresDecisions
|
||||
skill.requiresDecisions
|
||||
? fetchDecisionContext(input.tenantId, input.decisionIds)
|
||||
: Promise.resolve([]),
|
||||
input.documentIds?.length
|
||||
@@ -224,6 +349,7 @@ export async function runAnalysisSync(input: AnalysisInput) {
|
||||
: input.query;
|
||||
|
||||
const { model, provider, modelId } = await getModelForTenant(input.tenantId);
|
||||
const modeValue = input.mode ?? skill.slug;
|
||||
|
||||
const [analysis] = await db
|
||||
.insert(analyses)
|
||||
@@ -231,7 +357,8 @@ export async function runAnalysisSync(input: AnalysisInput) {
|
||||
tenantId: input.tenantId,
|
||||
userId: input.userId,
|
||||
caseId: input.caseId ?? null,
|
||||
mode: input.mode,
|
||||
mode: modeValue as AnalyseMode,
|
||||
skillId: skill.id || null,
|
||||
status: 'in_progress',
|
||||
title: input.title,
|
||||
query: input.query,
|
||||
@@ -245,9 +372,46 @@ export async function runAnalysisSync(input: AnalysisInput) {
|
||||
})
|
||||
.returning();
|
||||
|
||||
// Structured data output
|
||||
if (skill.outputType === 'structured_data' && skill.outputSchema) {
|
||||
const result = await generateObject({
|
||||
model,
|
||||
system: skill.systemPrompt,
|
||||
messages: [{ role: 'user', content: userMessage }],
|
||||
schema: jsonSchema(skill.outputSchema),
|
||||
maxOutputTokens: 4096,
|
||||
});
|
||||
|
||||
await db
|
||||
.update(analyses)
|
||||
.set({
|
||||
status: 'completed',
|
||||
result: JSON.stringify(result.object, null, 2),
|
||||
structuredResult: result.object as Record<string, unknown>,
|
||||
tokenUsage: {
|
||||
inputTokens: result.usage.inputTokens ?? 0,
|
||||
outputTokens: result.usage.outputTokens ?? 0,
|
||||
},
|
||||
updatedAt: new Date(),
|
||||
})
|
||||
.where(eq(analyses.id, analysis.id));
|
||||
|
||||
return {
|
||||
analysisId: analysis.id,
|
||||
result: JSON.stringify(result.object, null, 2),
|
||||
structuredResult: result.object,
|
||||
sources: {
|
||||
normIds: normContext.map((n) => n.id),
|
||||
decisionIds: decisionContext.map((d) => d.id),
|
||||
documentIds: documentContext.map((d) => d.id),
|
||||
},
|
||||
};
|
||||
}
|
||||
|
||||
// Free-text output
|
||||
const result = await generateText({
|
||||
model,
|
||||
system: SYSTEM_PROMPTS[systemPromptKey],
|
||||
system: skill.systemPrompt,
|
||||
messages: [{ role: 'user', content: userMessage }],
|
||||
maxOutputTokens: 4096,
|
||||
});
|
||||
|
||||
@@ -2,9 +2,12 @@
|
||||
// Each mode defines a specific legal analysis workflow
|
||||
|
||||
import { AnalyseMode } from '@/types';
|
||||
import { withTenantDb } from '@/lib/db';
|
||||
import { skills } from '@/lib/db/schema';
|
||||
import { eq, and } from 'drizzle-orm';
|
||||
|
||||
export interface AnalysisModeConfig {
|
||||
mode: AnalyseMode;
|
||||
mode: string;
|
||||
systemPromptKey: string;
|
||||
requiresNorms: boolean;
|
||||
requiresDecisions: boolean;
|
||||
@@ -12,6 +15,10 @@ export interface AnalysisModeConfig {
|
||||
label: string;
|
||||
/** Short description */
|
||||
description: string;
|
||||
/** Custom system prompt (for skill-based modes) */
|
||||
customSystemPrompt?: string;
|
||||
/** Skill ID if resolved from skills table */
|
||||
skillId?: string;
|
||||
}
|
||||
|
||||
export const ANALYSIS_MODES: Record<AnalyseMode, AnalysisModeConfig> = {
|
||||
@@ -48,3 +55,43 @@ export const ANALYSIS_MODES: Record<AnalyseMode, AnalysisModeConfig> = {
|
||||
description: 'Umfassende Risikoanalyse mit Eintrittswahrscheinlichkeiten und Minderungsstrategien',
|
||||
},
|
||||
};
|
||||
|
||||
const STANDARD_MODES = new Set<string>(Object.values(AnalyseMode));
|
||||
|
||||
/**
|
||||
* Resolve an analysis mode config — checks hardcoded standard modes first,
|
||||
* then falls back to the skills table for custom tenant-defined modes.
|
||||
* Returns null if the mode/slug does not exist.
|
||||
*/
|
||||
export async function resolveAnalysisMode(
|
||||
mode: string,
|
||||
tenantId: string,
|
||||
): Promise<AnalysisModeConfig | null> {
|
||||
// Standard hardcoded mode
|
||||
if (STANDARD_MODES.has(mode)) {
|
||||
return ANALYSIS_MODES[mode as AnalyseMode];
|
||||
}
|
||||
|
||||
// Look up custom skill by slug
|
||||
const skill = await withTenantDb(tenantId, async (tdb) => {
|
||||
const [row] = await tdb
|
||||
.select()
|
||||
.from(skills)
|
||||
.where(and(eq(skills.slug, mode), eq(skills.isActive, true)))
|
||||
.limit(1);
|
||||
return row ?? null;
|
||||
});
|
||||
|
||||
if (!skill) return null;
|
||||
|
||||
return {
|
||||
mode: skill.slug,
|
||||
systemPromptKey: skill.slug,
|
||||
requiresNorms: skill.requiresNorms ?? false,
|
||||
requiresDecisions: skill.requiresDecisions ?? false,
|
||||
label: skill.name,
|
||||
description: skill.description ?? '',
|
||||
customSystemPrompt: skill.systemPrompt,
|
||||
skillId: skill.id,
|
||||
};
|
||||
}
|
||||
|
||||
@@ -4,9 +4,8 @@
|
||||
import { generateText } from 'ai';
|
||||
import { getModelForTenant } from './providers';
|
||||
import { SYSTEM_PROMPTS, buildContextBlock, type AnalysisModeKey } from './prompts';
|
||||
import { ANALYSIS_MODES } from './modes';
|
||||
import { ANALYSIS_MODES, resolveAnalysisMode } from './modes';
|
||||
import { STRUCTURED_OUTPUT_INSTRUCTION, type StructuredAnalysisOutput } from './structured-output';
|
||||
import { AnalyseMode } from '@/types';
|
||||
import { db } from '@/lib/db';
|
||||
import { norms, normInstruments, decisions, analyses } from '@/lib/db/schema';
|
||||
import { eq, and, lte, or, isNull, gte, inArray } from 'drizzle-orm';
|
||||
@@ -15,7 +14,7 @@ interface StructuredAnalysisInput {
|
||||
tenantId: string;
|
||||
userId: string;
|
||||
caseId?: string;
|
||||
mode: AnalyseMode;
|
||||
mode: string;
|
||||
title: string;
|
||||
query: string;
|
||||
normIds?: string[];
|
||||
@@ -108,8 +107,10 @@ export async function runStructuredAnalysis(
|
||||
result: StructuredAnalysisOutput;
|
||||
sources: { normIds: string[]; decisionIds: string[] };
|
||||
}> {
|
||||
const modeConfig = ANALYSIS_MODES[input.mode];
|
||||
const systemPromptKey = modeConfig.systemPromptKey as AnalysisModeKey;
|
||||
const modeConfig = await resolveAnalysisMode(input.mode, input.tenantId);
|
||||
if (!modeConfig) {
|
||||
throw new Error(`Unbekannter Analysemodus: ${input.mode}`);
|
||||
}
|
||||
|
||||
const [normContext, decisionContext] = await Promise.all([
|
||||
modeConfig.requiresNorms
|
||||
@@ -132,8 +133,10 @@ export async function runStructuredAnalysis(
|
||||
|
||||
const userMessage = messageParts.join('\n\n---\n\n');
|
||||
|
||||
// Add structured output instruction to system prompt
|
||||
const systemPrompt = SYSTEM_PROMPTS[systemPromptKey] + STRUCTURED_OUTPUT_INSTRUCTION;
|
||||
// Use custom system prompt for skill-based modes, standard prompts for built-in modes
|
||||
const basePrompt = modeConfig.customSystemPrompt
|
||||
?? SYSTEM_PROMPTS[modeConfig.systemPromptKey as AnalysisModeKey];
|
||||
const systemPrompt = basePrompt + STRUCTURED_OUTPUT_INSTRUCTION;
|
||||
|
||||
const { model, provider, modelId } = await getModelForTenant(input.tenantId);
|
||||
|
||||
@@ -144,7 +147,8 @@ export async function runStructuredAnalysis(
|
||||
tenantId: input.tenantId,
|
||||
userId: input.userId,
|
||||
caseId: input.caseId ?? null,
|
||||
mode: input.mode,
|
||||
mode: input.mode as "vergleich" | "gutachten" | "entscheidung" | "risiko",
|
||||
skillId: modeConfig.skillId ?? null,
|
||||
status: 'in_progress',
|
||||
title: input.title,
|
||||
query: input.query,
|
||||
@@ -172,7 +176,7 @@ export async function runStructuredAnalysis(
|
||||
const jsonMatch = result.text.match(/\{[\s\S]*\}/);
|
||||
if (!jsonMatch) throw new Error('No JSON object found');
|
||||
structured = JSON.parse(jsonMatch[0]);
|
||||
structured.mode = input.mode;
|
||||
(structured as any).mode = input.mode;
|
||||
} catch {
|
||||
// Fallback: store raw text, mark as non-structured
|
||||
await db
|
||||
|
||||
@@ -31,6 +31,12 @@ const PERMISSIONS: Record<string, readonly Role[]> = {
|
||||
'decisions:write': ['admin', 'attorney'],
|
||||
'decisions:read': ['admin', 'attorney', 'paralegal', 'viewer'],
|
||||
|
||||
// Skills
|
||||
'skills:read': ['admin', 'attorney', 'paralegal', 'viewer'],
|
||||
'skills:create': ['admin'],
|
||||
'skills:edit': ['admin'],
|
||||
'skills:delete': ['admin'],
|
||||
|
||||
// Settings
|
||||
'settings:manage': ['admin'],
|
||||
|
||||
|
||||
@@ -402,12 +402,16 @@ export const analyses = pgTable(
|
||||
caseId: uuid("case_id").references(() => cases.id, { onDelete: "set null" }),
|
||||
userId: uuid("user_id").notNull().references(() => users.id),
|
||||
mode: analysisModeEnum("mode").notNull(),
|
||||
/** FK to skills table — the skill used for this analysis */
|
||||
skillId: uuid("skill_id").references(() => skills.id, { onDelete: "set null" }),
|
||||
status: analysisStatusEnum("status").notNull().default("draft"),
|
||||
title: varchar("title", { length: 500 }).notNull(),
|
||||
/** Input query / legal question */
|
||||
query: text("query").notNull(),
|
||||
/** AI-generated analysis result (markdown) */
|
||||
result: text("result"),
|
||||
/** Structured JSON output for structured_data skills */
|
||||
structuredResult: jsonb("structured_result").$type<Record<string, unknown>>(),
|
||||
/** Source references cited in the analysis */
|
||||
sources: jsonb("sources").$type<{
|
||||
normIds: string[];
|
||||
@@ -433,6 +437,44 @@ export const analyses = pgTable(
|
||||
],
|
||||
);
|
||||
|
||||
// ============================================================
|
||||
// Skills — tenant-configurable analysis skill definitions
|
||||
// ============================================================
|
||||
|
||||
/** Output type for a skill */
|
||||
export const skillOutputTypeEnum = pgEnum("skill_output_type", [
|
||||
"analysis", // Free-text markdown output
|
||||
"structured_data", // Structured JSON output via generateObject()
|
||||
]);
|
||||
|
||||
/** Skills — tenant-scoped configurable analysis modes */
|
||||
export const skills = pgTable(
|
||||
"skills",
|
||||
{
|
||||
id: uuid("id").primaryKey().defaultRandom(),
|
||||
tenantId: uuid("tenant_id").notNull().references(() => tenants.id, { onDelete: "cascade" }),
|
||||
slug: varchar("slug", { length: 100 }).notNull(),
|
||||
name: varchar("name", { length: 255 }).notNull(),
|
||||
description: text("description"),
|
||||
systemPrompt: text("system_prompt").notNull(),
|
||||
outputType: skillOutputTypeEnum("output_type").notNull().default("analysis"),
|
||||
/** JSON Schema for structured data output (required when output_type = structured_data) */
|
||||
outputSchema: jsonb("output_schema").$type<Record<string, unknown>>(),
|
||||
requiresNorms: boolean("requires_norms").notNull().default(false),
|
||||
requiresDecisions: boolean("requires_decisions").notNull().default(false),
|
||||
isSystem: boolean("is_system").notNull().default(false),
|
||||
sortOrder: integer("sort_order").notNull().default(0),
|
||||
isActive: boolean("is_active").notNull().default(true),
|
||||
createdAt: timestamp("created_at", { withTimezone: true }).defaultNow().notNull(),
|
||||
updatedAt: timestamp("updated_at", { withTimezone: true }).defaultNow().notNull(),
|
||||
},
|
||||
(t) => [
|
||||
uniqueIndex("skills_tenant_slug_idx").on(t.tenantId, t.slug),
|
||||
index("skills_tenant_idx").on(t.tenantId),
|
||||
index("skills_active_idx").on(t.tenantId, t.isActive),
|
||||
],
|
||||
);
|
||||
|
||||
// ============================================================
|
||||
// Vertragsanalyse (Contract Analysis Module — Phase 3.3)
|
||||
// ============================================================
|
||||
@@ -1155,6 +1197,10 @@ export const nonRenewalDeadlinesRelations = relations(nonRenewalDeadlines, ({ on
|
||||
contract: one(contracts, { fields: [nonRenewalDeadlines.contractId], references: [contracts.id] }),
|
||||
}));
|
||||
|
||||
export const skillsRelations = relations(skills, ({ one, many }) => ({
|
||||
tenant: one(tenants, { fields: [skills.tenantId], references: [tenants.id] }),
|
||||
}));
|
||||
|
||||
export const documentsRelations = relations(documents, ({ one }) => ({
|
||||
tenant: one(tenants, { fields: [documents.tenantId], references: [tenants.id] }),
|
||||
case: one(cases, { fields: [documents.caseId], references: [cases.id] }),
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
{
|
||||
"version": "0.9.0",
|
||||
"build": 3
|
||||
"build": 11
|
||||
}
|
||||
|
||||
Reference in New Issue
Block a user