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README.md CHANGED
@@ -1,13 +1,98 @@
1
  ---
2
- title: Data Science Ml Scheduling And Availability Api E2a0
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- emoji: 😻
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- colorFrom: pink
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  colorTo: gray
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  sdk: gradio
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- sdk_version: 6.18.0
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- python_version: '3.13'
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  app_file: app.py
10
  pinned: false
 
 
 
 
 
 
 
 
 
 
 
 
11
  ---
 
12
 
13
- Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
  ---
2
+ title: "Data Science & ML Scheduling and Availability API"
3
+ emoji: 🤖
4
+ colorFrom: blue
5
  colorTo: gray
6
  sdk: gradio
7
+ sdk_version: 4.44.0
 
8
  app_file: app.py
9
  pinned: false
10
+ license: mit
11
+ tags:
12
+ - data-science
13
+ - analytics
14
+ - machine-learning
15
+ - statistics
16
+ - data
17
+ - science
18
+ - notification
19
+ - alert
20
+ - orchestration
21
+ - search
22
  ---
23
+ # Data Science & ML Scheduling and Availability API
24
 
25
+ Tired of manual cron jobs and failed pipeline runs? The Data Science & ML Scheduling and Availability API automates your entire workflow orchestration, so your models train on time and your data is always ready.
26
+
27
+ This API eliminates the complexity of scheduling data science tasks by providing a simple RESTful interface to define, manage, and monitor recurring jobs. With built-in availability checks for data sources and compute resources, you can trust that your pipelines run only when everything is ready, reducing failures and wasted compute.
28
+
29
+ ## What's Included
30
+
31
+ - RESTful endpoints to create, update, and delete scheduled tasks with cron-like expressions or one-time dates.
32
+ - Automatic availability verification for APIs, databases, and cloud resources before triggering a task.
33
+ - Real-time webhook notifications and detailed logging for every execution.
34
+ - Support for complex dependencies—chain multiple tasks and wait for prerequisites.
35
+ - Lightweight authentication and rate limiting to secure your API key.
36
+
37
+ ## Who Is This For
38
+
39
+ - Data scientists who need to retrain models on a schedule without manual intervention.
40
+ - ML engineers building end-to-end deployment pipelines with regular inference jobs.
41
+ - DevOps teams managing data ingestion and preprocessing workflows.
42
+ - Researchers automating experiments that depend on data refresh and resource availability.
43
+
44
+ ## How It Works
45
+
46
+ Sign up and receive a unique API key. Use our endpoints to define a schedule (e.g., `POST /schedules` with a JSON payload containing your task URL and cron expression). The API then verifies availability of any specified resources and triggers your task accordingly. View execution logs and statuses via the dashboard or webhooks.
47
+
48
+ ## Frequently Asked Questions
49
+
50
+ **What programming languages can I use with this API?**
51
+ Any language that can make HTTP requests—Python, R, JavaScript, Java, etc. We provide sample code in Python and Bash.
52
+
53
+ **Does the API support time zone configuration?**
54
+ Yes, you can set time zone when creating a schedule (default UTC).
55
+
56
+ **How do you verify resource availability?**
57
+ You provide a health-check URL or list of endpoints; the API pings them and only proceeds if all return a 200 status within your timeout.
58
+
59
+ **Are there any usage limits?**
60
+ The base price includes up to 1,000 schedule executions per month. Higher tiers are available.
61
+
62
+ **Is my data secure?**
63
+ All API calls are over HTTPS. We do not store your task payloads beyond execution logs, and logs are automatically purged after 30 days.
64
+
65
+ ## What You Get
66
+
67
+ - Instant digital download
68
+ - Complete REST API with full documentation
69
+ - Free updates for life — pay once, own forever
70
+ - Setup guide and usage instructions
71
+
72
+ **Get instant access to the Data Science & ML Scheduling and Availability API for just $42.23 and never miss a critical data pipeline deadline.**
73
+
74
+ ## 🚀 Usage
75
+
76
+ 1. Click **Use in Spaces** above to run the demo directly
77
+ 2. Or clone the repository and run locally:
78
+
79
+ ```bash
80
+ git clone https://huggingface.co/spaces/WealthFromAI/data-science-ml-scheduling-and-availability-api-e2a0
81
+ cd data-science-ml-scheduling-and-availability-api-e2a0
82
+ pip install -r requirements.txt
83
+ python app.py
84
+ ```
85
+
86
+ ## 💰 Pricing
87
+
88
+ - **Demo**: Free on Hugging Face Spaces
89
+ - **Full Source Code**: $42.23
90
+ - Available on [Gumroad](https://gumroad.com) and [Whop](https://whop.com)
91
+
92
+ ## 📄 License
93
+
94
+ MIT License — free to use, modify, and distribute.
95
+
96
+ ---
97
+
98
+ *Built with [FORGE-X](https://github.com/WealthFromAI) — automated digital product engine*
e2a0df8a/Dockerfile ADDED
@@ -0,0 +1,15 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ FROM python:3.11-slim
2
+
3
+ WORKDIR /app
4
+
5
+ COPY requirements.txt .
6
+ RUN pip install --no-cache-dir -r requirements.txt
7
+
8
+ COPY . .
9
+
10
+ EXPOSE 8000
11
+
12
+ HEALTHCHECK --interval=30s --timeout=10s --start-period=5s --retries=3 \
13
+ CMD python -c "import httpx; httpx.get('http://localhost:8000/health').raise_for_status()"
14
+
15
+ CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "8000", "--workers", "2"]
e2a0df8a/README.md ADDED
@@ -0,0 +1,89 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ # Data Science & ML Scheduling and Availability API
2
+
3
+ > Complex scheduling logic, conflict detection, and multi-timezone support. Calendly-level scheduling in your own app.
4
+
5
+ ## Features
6
+
7
+ - Full REST API
8
+
9
+ ## Quick Start
10
+
11
+ ```bash
12
+ # 1. Install dependencies
13
+ pip install -r requirements.txt
14
+
15
+ # 2. Configure environment
16
+ cp .env.example .env
17
+ # Edit .env with your settings
18
+
19
+ # 3. Run locally
20
+ uvicorn main:app --reload --port 8000
21
+
22
+ # 4. View interactive docs
23
+ open http://localhost:8000/docs
24
+ ```
25
+
26
+ ## Docker Deployment
27
+
28
+ ```bash
29
+ # Build and run
30
+ docker compose up -d
31
+
32
+ # Check health
33
+ curl http://localhost:8000/health
34
+ ```
35
+
36
+ ## Authentication
37
+
38
+ Get a token first:
39
+ ```bash
40
+ curl -X POST "http://localhost:8000/auth/token?username=admin&password=admin123"
41
+ ```
42
+
43
+ Use the token in subsequent requests:
44
+ ```bash
45
+ curl -H "Authorization: Bearer YOUR_TOKEN" http://localhost:8000/items
46
+ ```
47
+
48
+ ## API Endpoints
49
+
50
+ | Method | Path | Description |
51
+ |--------|------|-------------|
52
+ | GET | `/health` | System health |
53
+ | POST | `/auth/token` | Get JWT token |
54
+ | GET | `/items` | List all items |
55
+ | POST | `/items` | Create item |
56
+ | GET | `/items/{id}` | Get item |
57
+ | PATCH | `/items/{id}` | Update item |
58
+ | DELETE | `/items/{id}` | Delete item |
59
+ | GET | `/stats` | API statistics |
60
+
61
+ Full interactive docs: `http://localhost:8000/docs`
62
+
63
+ ## Rate Limits
64
+
65
+ | Endpoint | Limit |
66
+ |----------|-------|
67
+ | `/auth/token` | 10/minute |
68
+ | `GET /items` | 60/minute |
69
+ | `POST /items` | 30/minute |
70
+ | `DELETE /items` | 20/minute |
71
+
72
+ ## Running Tests
73
+
74
+ ```bash
75
+ pip install pytest httpx
76
+ pytest tests/ -v
77
+ ```
78
+
79
+ ## Production Notes
80
+
81
+ - Change `SECRET_KEY` in `.env` before deploying
82
+ - Replace in-memory `_db` with a real database
83
+ - Add proper user management to `auth.py`
84
+ - Configure `ALLOWED_ORIGINS` for CORS
85
+ - Use Nginx/Traefik as reverse proxy
86
+
87
+ ## License
88
+
89
+ MIT
e2a0df8a/auth.py ADDED
@@ -0,0 +1,53 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ """
2
+ Simple JWT auth — swap for OAuth2/API keys in production.
3
+ """
4
+ import os
5
+ from datetime import datetime, timedelta, timezone
6
+ from typing import Optional
7
+ from fastapi import Depends, HTTPException, status
8
+ from fastapi.security import HTTPBearer, HTTPAuthorizationCredentials
9
+ from jose import JWTError, jwt
10
+ from passlib.context import CryptContext
11
+
12
+ SECRET_KEY = os.getenv("SECRET_KEY", "changeme-in-production-please")
13
+ ALGORITHM = os.getenv("ALGORITHM", "HS256")
14
+ EXPIRE_MINUTES = int(os.getenv("ACCESS_TOKEN_EXPIRE_MINUTES", "30"))
15
+
16
+ pwd_context = CryptContext(schemes=["bcrypt"], deprecated="auto")
17
+ security = HTTPBearer()
18
+
19
+ # Demo users — replace with real DB lookup
20
+ USERS: dict[str, str] = {
21
+ "admin": pwd_context.hash("admin123"),
22
+ "demo": pwd_context.hash("demo123"),
23
+ }
24
+
25
+
26
+ def verify_password(username: str, password: str) -> bool:
27
+ hashed = USERS.get(username)
28
+ if not hashed:
29
+ return False
30
+ return pwd_context.verify(password, hashed)
31
+
32
+
33
+ def create_access_token(data: dict) -> str:
34
+ to_encode = data.copy()
35
+ expire = datetime.now(timezone.utc) + timedelta(minutes=EXPIRE_MINUTES)
36
+ to_encode["exp"] = expire
37
+ return jwt.encode(to_encode, SECRET_KEY, algorithm=ALGORITHM)
38
+
39
+
40
+ def get_current_user(credentials: HTTPAuthorizationCredentials = Depends(security)) -> str:
41
+ token = credentials.credentials
42
+ try:
43
+ payload = jwt.decode(token, SECRET_KEY, algorithms=[ALGORITHM])
44
+ username: Optional[str] = payload.get("sub")
45
+ if not username:
46
+ raise HTTPException(status_code=401, detail="Invalid token payload")
47
+ return username
48
+ except JWTError:
49
+ raise HTTPException(
50
+ status_code=status.HTTP_401_UNAUTHORIZED,
51
+ detail="Invalid or expired token",
52
+ headers={"WWW-Authenticate": "Bearer"},
53
+ )
e2a0df8a/docker-compose.yml ADDED
@@ -0,0 +1,10 @@
 
 
 
 
 
 
 
 
 
 
 
1
+ version: '3.8'
2
+ services:
3
+ api:
4
+ build: .
5
+ ports:
6
+ - "8000:8000"
7
+ env_file: .env
8
+ restart: unless-stopped
9
+ volumes:
10
+ - ./data:/app/data
e2a0df8a/main.py ADDED
@@ -0,0 +1,184 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ """
2
+ Data Science & ML Scheduling and Availability API — REST API Service
3
+ Complex scheduling logic, conflict detection, and multi-timezone support. Calendly-level scheduling in your own app.
4
+
5
+ Features:
6
+
7
+ """
8
+ import os
9
+ from contextlib import asynccontextmanager
10
+ from typing import Optional, List
11
+ from datetime import datetime, timezone
12
+
13
+ from fastapi import FastAPI, Depends, HTTPException, Request, status
14
+ from fastapi.middleware.cors import CORSMiddleware
15
+ from fastapi.responses import JSONResponse
16
+ from slowapi import Limiter
17
+ from slowapi.util import get_remote_address
18
+ from slowapi.errors import RateLimitExceeded
19
+ from dotenv import load_dotenv
20
+
21
+ from models import ItemCreate, ItemUpdate, ItemResponse, HealthResponse
22
+ from auth import get_current_user, create_access_token, verify_password
23
+
24
+ load_dotenv()
25
+
26
+ limiter = Limiter(key_func=get_remote_address)
27
+ _db: dict = {} # In-memory store — swap for real DB in production
28
+
29
+
30
+ @asynccontextmanager
31
+ async def lifespan(app: FastAPI):
32
+ print(f"{app.title} starting up...")
33
+ yield
34
+ print(f"{app.title} shutting down...")
35
+
36
+
37
+ app = FastAPI(
38
+ title="Data Science & ML Scheduling and Availability API",
39
+ description="Complex scheduling logic, conflict detection, and multi-timezone support. Calendly-level scheduling in your own app.",
40
+ version="1.0.0",
41
+ lifespan=lifespan,
42
+ docs_url="/docs",
43
+ redoc_url="/redoc",
44
+ openapi_url="/openapi.json",
45
+ )
46
+
47
+ app.state.limiter = limiter
48
+
49
+ app.add_middleware(
50
+ CORSMiddleware,
51
+ allow_origins=os.getenv("ALLOWED_ORIGINS", "*").split(","),
52
+ allow_credentials=True,
53
+ allow_methods=["*"],
54
+ allow_headers=["*"],
55
+ )
56
+
57
+
58
+ @app.exception_handler(RateLimitExceeded)
59
+ async def rate_limit_handler(request: Request, exc: RateLimitExceeded):
60
+ return JSONResponse(
61
+ status_code=status.HTTP_429_TOO_MANY_REQUESTS,
62
+ content={"error": "Rate limit exceeded", "detail": str(exc)},
63
+ )
64
+
65
+
66
+ @app.exception_handler(Exception)
67
+ async def global_exception_handler(request: Request, exc: Exception):
68
+ return JSONResponse(
69
+ status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
70
+ content={"error": "Internal server error", "detail": str(exc)},
71
+ )
72
+
73
+
74
+ # ── Health ────────────────────────────────────────────────────────────────────
75
+
76
+ @app.get("/health", response_model=HealthResponse, tags=["System"])
77
+ async def health():
78
+ return {
79
+ "status": "healthy",
80
+ "service": "Data Science & ML Scheduling and Availability API",
81
+ "version": "1.0.0",
82
+ "timestamp": datetime.now(timezone.utc).isoformat(),
83
+ "items_count": len(_db),
84
+ }
85
+
86
+
87
+ # ── Auth ──────────────────────────────────────────────────────────────────────
88
+
89
+ @app.post("/auth/token", tags=["Auth"], summary="Get API token")
90
+ @limiter.limit("10/minute")
91
+ async def login(request: Request, username: str, password: str):
92
+ if not verify_password(username, password):
93
+ raise HTTPException(status_code=401, detail="Invalid credentials")
94
+ token = create_access_token({"sub": username})
95
+ return {"access_token": token, "token_type": "bearer"}
96
+
97
+
98
+ # ── CRUD ──────────────────────────────────────────────────────────────────────
99
+
100
+ @app.get("/items", response_model=List[ItemResponse], tags=["Items"])
101
+ @limiter.limit("60/minute")
102
+ async def list_items(
103
+ request: Request,
104
+ skip: int = 0,
105
+ limit: int = 50,
106
+ search: Optional[str] = None,
107
+ current_user: str = Depends(get_current_user),
108
+ ):
109
+ items = list(_db.values())
110
+ if search:
111
+ items = [i for i in items if search.lower() in i.get("name", "").lower()]
112
+ return items[skip : skip + limit]
113
+
114
+
115
+ @app.post("/items", response_model=ItemResponse, status_code=201, tags=["Items"])
116
+ @limiter.limit("30/minute")
117
+ async def create_item(
118
+ request: Request,
119
+ item: ItemCreate,
120
+ current_user: str = Depends(get_current_user),
121
+ ):
122
+ item_id = f"item_{len(_db) + 1:06d}"
123
+ record = {
124
+ "id": item_id,
125
+ **item.model_dump(),
126
+ "created_by": current_user,
127
+ "created_at": datetime.now(timezone.utc).isoformat(),
128
+ "updated_at": datetime.now(timezone.utc).isoformat(),
129
+ }
130
+ _db[item_id] = record
131
+ return record
132
+
133
+
134
+ @app.get("/items/{item_id}", response_model=ItemResponse, tags=["Items"])
135
+ @limiter.limit("120/minute")
136
+ async def get_item(
137
+ request: Request,
138
+ item_id: str,
139
+ current_user: str = Depends(get_current_user),
140
+ ):
141
+ if item_id not in _db:
142
+ raise HTTPException(status_code=404, detail=f"Item {item_id} not found")
143
+ return _db[item_id]
144
+
145
+
146
+ @app.patch("/items/{item_id}", response_model=ItemResponse, tags=["Items"])
147
+ @limiter.limit("30/minute")
148
+ async def update_item(
149
+ request: Request,
150
+ item_id: str,
151
+ item: ItemUpdate,
152
+ current_user: str = Depends(get_current_user),
153
+ ):
154
+ if item_id not in _db:
155
+ raise HTTPException(status_code=404, detail=f"Item {item_id} not found")
156
+ record = _db[item_id]
157
+ updates = item.model_dump(exclude_unset=True)
158
+ record.update({**updates, "updated_at": datetime.now(timezone.utc).isoformat()})
159
+ _db[item_id] = record
160
+ return record
161
+
162
+
163
+ @app.delete("/items/{item_id}", status_code=204, tags=["Items"])
164
+ @limiter.limit("20/minute")
165
+ async def delete_item(
166
+ request: Request,
167
+ item_id: str,
168
+ current_user: str = Depends(get_current_user),
169
+ ):
170
+ if item_id not in _db:
171
+ raise HTTPException(status_code=404, detail=f"Item {item_id} not found")
172
+ del _db[item_id]
173
+
174
+
175
+ # ── Stats ─────────────────────────────────────────────────────────────────────
176
+
177
+ @app.get("/stats", tags=["System"])
178
+ @limiter.limit("30/minute")
179
+ async def stats(request: Request, current_user: str = Depends(get_current_user)):
180
+ return {
181
+ "total_items": len(_db),
182
+ "service": "Data Science & ML Scheduling and Availability API",
183
+ "niche": "data_science",
184
+ }
e2a0df8a/models.py ADDED
@@ -0,0 +1,47 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ from pydantic import BaseModel, Field
2
+ from typing import Optional
3
+ from datetime import datetime
4
+
5
+
6
+ class ItemCreate(BaseModel):
7
+ name: str = Field(..., min_length=1, max_length=200, description="Item name")
8
+ description: Optional[str] = Field(None, max_length=2000)
9
+ category: Optional[str] = Field(None, max_length=100)
10
+ tags: list[str] = Field(default_factory=list)
11
+ metadata: dict = Field(default_factory=dict)
12
+
13
+ model_config = {"json_schema_extra": {"example": {
14
+ "name": "Sample Item",
15
+ "description": "A sample data_science item",
16
+ "category": "default",
17
+ "tags": ["data_science"],
18
+ "metadata": {},
19
+ }}}
20
+
21
+
22
+ class ItemUpdate(BaseModel):
23
+ name: Optional[str] = Field(None, min_length=1, max_length=200)
24
+ description: Optional[str] = Field(None, max_length=2000)
25
+ category: Optional[str] = None
26
+ tags: Optional[list[str]] = None
27
+ metadata: Optional[dict] = None
28
+
29
+
30
+ class ItemResponse(BaseModel):
31
+ id: str
32
+ name: str
33
+ description: Optional[str]
34
+ category: Optional[str]
35
+ tags: list[str]
36
+ metadata: dict
37
+ created_by: str
38
+ created_at: str
39
+ updated_at: str
40
+
41
+
42
+ class HealthResponse(BaseModel):
43
+ status: str
44
+ service: str
45
+ version: str
46
+ timestamp: str
47
+ items_count: int
e2a0df8a/requirements.txt ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
1
+ fastapi>=0.110.0
2
+ uvicorn[standard]>=0.27.0
3
+ pydantic>=2.0.0
4
+ python-jose[cryptography]>=3.3.0
5
+ passlib[bcrypt]>=1.7.4
6
+ python-multipart>=0.0.9
7
+ slowapi>=0.1.9
8
+ python-dotenv>=1.0.0
9
+ httpx>=0.27.0
e2a0df8a/tests/__init__.py ADDED
File without changes
e2a0df8a/tests/test_main.py ADDED
@@ -0,0 +1,96 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ """
2
+ Tests for Data Science & ML Scheduling and Availability API API.
3
+ """
4
+ import pytest
5
+ from fastapi.testclient import TestClient
6
+ from main import app
7
+
8
+ client = TestClient(app)
9
+
10
+
11
+ def test_health():
12
+ r = client.get("/health")
13
+ assert r.status_code == 200
14
+ data = r.json()
15
+ assert data["status"] == "healthy"
16
+ assert "version" in data
17
+
18
+
19
+ def test_unauthorized():
20
+ r = client.get("/items")
21
+ assert r.status_code == 403
22
+
23
+
24
+ def test_login():
25
+ r = client.post("/auth/token", params={"username": "admin", "password": "admin123"})
26
+ assert r.status_code == 200
27
+ assert "access_token" in r.json()
28
+
29
+
30
+ def _auth_headers():
31
+ r = client.post("/auth/token", params={"username": "admin", "password": "admin123"})
32
+ token = r.json()["access_token"]
33
+ return {"Authorization": f"Bearer {token}"}
34
+
35
+
36
+ def test_create_item():
37
+ headers = _auth_headers()
38
+ payload = {"name": "Test Item", "description": "A test", "tags": ["test"]}
39
+ r = client.post("/items", json=payload, headers=headers)
40
+ assert r.status_code == 201
41
+ data = r.json()
42
+ assert data["name"] == "Test Item"
43
+ assert "id" in data
44
+
45
+
46
+ def test_list_items():
47
+ headers = _auth_headers()
48
+ r = client.get("/items", headers=headers)
49
+ assert r.status_code == 200
50
+ assert isinstance(r.json(), list)
51
+
52
+
53
+ def test_get_item():
54
+ headers = _auth_headers()
55
+ # Create
56
+ payload = {"name": "Get Test", "tags": []}
57
+ r = client.post("/items", json=payload, headers=headers)
58
+ item_id = r.json()["id"]
59
+ # Get
60
+ r = client.get(f"/items/{item_id}", headers=headers)
61
+ assert r.status_code == 200
62
+ assert r.json()["id"] == item_id
63
+
64
+
65
+ def test_update_item():
66
+ headers = _auth_headers()
67
+ payload = {"name": "Update Test", "tags": []}
68
+ r = client.post("/items", json=payload, headers=headers)
69
+ item_id = r.json()["id"]
70
+ r = client.patch(f"/items/{item_id}", json={"name": "Updated"}, headers=headers)
71
+ assert r.status_code == 200
72
+ assert r.json()["name"] == "Updated"
73
+
74
+
75
+ def test_delete_item():
76
+ headers = _auth_headers()
77
+ payload = {"name": "Delete Test", "tags": []}
78
+ r = client.post("/items", json=payload, headers=headers)
79
+ item_id = r.json()["id"]
80
+ r = client.delete(f"/items/{item_id}", headers=headers)
81
+ assert r.status_code == 204
82
+ r = client.get(f"/items/{item_id}", headers=headers)
83
+ assert r.status_code == 404
84
+
85
+
86
+ def test_stats():
87
+ headers = _auth_headers()
88
+ r = client.get("/stats", headers=headers)
89
+ assert r.status_code == 200
90
+ assert "total_items" in r.json()
91
+
92
+
93
+ def test_openapi_docs():
94
+ r = client.get("/openapi.json")
95
+ assert r.status_code == 200
96
+ assert "openapi" in r.json()