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2083 Complete Reference Implementation E439ffa2
ASecurity```python from fastapi import FastAPI, HTTPException, BackgroundTasks from pydantic import BaseModel from typing import Optional import uuid import redis import json
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- Added October 11, 2026
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[](https://www.skillsdirectory.com/skills/tools-only-2083-complete-reference-implementation-e439ffa2)# Complete Reference Implementation
## Complete Reference Implementation
```python
# architecture/services/api_gateway.py
from fastapi import FastAPI, HTTPException, BackgroundTasks
from pydantic import BaseModel
from typing import Optional
import uuid
import redis
import json
app = FastAPI(title="Video Generation Platform")
redis_client = redis.Redis(host="redis", port=6379, decode_responses=True)
class VideoRequest(BaseModel):
prompt: str
duration: int = 5
model: str = "kling-v1.5"
webhook_url: Optional[str] = None
metadata: Optional[dict] = None
class VideoResponse(BaseModel):
request_id: str
status: str
message: str
@app.post("/api/v1/videos", response_model=VideoResponse)
async def create_video(request: VideoRequest, background_tasks: BackgroundTasks):
"""Submit a video generation request."""
request_id = str(uuid.uuid4())
# Store request
job_data = {
"request_id": request_id,
"status": "pending",
"prompt": request.prompt,
"duration": request.duration,
"model": request.model,
"webhook_url": request.webhook_url,
"metadata": request.metadata or {}
}
# Save to Redis
redis_client.hset(f"job:{request_id}", mapping={
k: json.dumps(v) if isinstance(v, dict) else str(v)
for k, v in job_data.items()
})
# Add to queue
redis_client.lpush("video:queue:pending", request_id)
return VideoResponse(
request_id=request_id,
status="pending",
message="Video generation request submitted"
)
@app.get("/api/v1/videos/{request_id}")
async def get_video_status(request_id: str):
"""Get status of a video generation request."""
job_data = redis_client.hgetall(f"job:{request_id}")
if not job_data:
raise HTTPException(status_code=404, detail="Request not found")
return {
"request_id": request_id,
"status": job_data.get("status"),
"video_url": job_data.get("video_url"),
"error": job_data.get("error")
}
```
```python
# architecture/services/worker.py
import os
import time
import redis
import requests
import json
from typing import Optional
class VideoWorker:
"""Worker that processes video generation jobs."""
def __init__(self):
self.redis = redis.Redis(host="redis", port=6379, decode_responses=True)
self.api_key = os.environ["KLINGAI_API_KEY"]
self.base_url = "https://api.klingai.com/v1"
def run(self):
"""Main worker loop."""
print("Worker started, waiting for jobs...")
while True:
# Blocking pop from queue
result = self.redis.brpop("video:queue:pending", timeout=5)
if result:
_, request_id = result
self.process_job(request_id)
def process_job(self, request_id: str):
"""Process a single video generation job."""
print(f"Processing job: {request_id}")
try:
# Get job data
job_data = self.redis.hgetall(f"job:{request_id}")
# Update status
self.update_status(request_id, "generating")
# Submit to Kling AI
klingai_job_id = self.submit_to_klingai(job_data)
self.redis.hset(f"job:{request_id}", "klingai_job_id", klingai_job_id)
# Poll for completion
result = self.wait_for_completion(klingai_job_id)
# Update with result
self.update_status(request_id, "completed", result)
# Send webhook if configured
webhook_url = job_data.get("webhook_url")
if webhook_url:
self.send_webhook(webhook_url, request_id, "completed", result)
print(f"Job completed: {request_id}")
except Exception as e:
print(f"Job failed: {request_id} - {e}")
self.update_status(request_id, "failed", error=str(e))
def submit_to_klingai(self, job_data: dict) -> str:
"""Submit job to Kling AI API."""
response = requests.post(
f"{self.base_url}/videos/text-to-video",
headers={
"Authorization": f"Bearer {self.api_key}",
"Content-Type": "application/json"
},
json={
"prompt": job_data["prompt"],
"duration": int(job_data["duration"]),
"model": job_data["model"]
}
)
response.raise_for_status()
return response.json()["job_id"]
def wait_for_completion(self, job_id: str, timeout: int = 600) -> dict:
"""Poll Kling AI until job completes."""
start = time.time()
while time.time() - start < timeout:
response = requests.get(
f"{self.base_url}/videos/{job_id}",
headers={"Authorization": f"Bearer {self.api_key}"}
)
data = response.json()
if data["status"] == "completed":
return {
"video_url": data["video_url"],
"thumbnail_url": data.get("thumbnail_url")
}
elif data["status"] == "failed":
raise Exception(data.get("error", "Generation failed"))
time.sleep(5)
raise Exception("Timeout waiting for video generation")
def update_status(self, request_id: str, status: str, result: dict = None, error: str = None):
"""Update job status in Redis."""
updates = {"status": status}
if result:
updates.update(result)
if error:
updates["error"] = error
self.redis.hset(f"job:{request_id}", mapping=updates)
def send_webhook(self, url: str, request_id: str, status: str, result: dict):
"""Send webhook notification."""
try:
requests.post(url, json={
"request_id": request_id,
"status": status,
**result
}, timeout=10)
except Exception as e:
print(f"Webhook failed: {e}")
if __name__ == "__main__":
worker = VideoWorker()
worker.run()
```Attribution
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