Bare bones API gateway

This commit is contained in:
Cyber MacGeddon 2024-11-20 16:57:46 +00:00
parent f2c78b701e
commit a8e37037d2
3 changed files with 265 additions and 0 deletions

57
test-api Executable file
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@ -0,0 +1,57 @@
#!/usr/bin/env python3
import requests
import json
import sys
url = "http://localhost:8088/api/v1/"
############################################################################
input = {
"system": "Respond in French. Use long word, form of numbers, no digits",
# "prompt": "Add 2 and 12"
"prompt": "Add 12 and 14, and then make a poem about llamas which incorporates that number. Then write a joke about llamas"
}
resp = requests.post(
f"{url}text-completion",
json=input,
)
print(resp.json()["response"])
sys.exit(0)
############################################################################
input = {
"id": "question",
"variables": {
"question": "Add 12 and 14, and then make a poem about llamas which incorporates that number. Then write a joke about llamas."
}
}
resp = requests.post(
f"{url}prompt",
json=input,
)
print(resp.json()["text"])
############################################################################
input = {
"id": "extract-definitions",
"variables": {
"text": "A cat is a large mammal."
}
}
resp = requests.post(
f"{url}prompt",
json=input,
)
print(json.dumps(resp.json()["object"], indent=4))
############################################################################

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@ -0,0 +1,207 @@
#!/usr/bin/env python3
import asyncio
from aiohttp import web
import json
import logging
import uuid
import pulsar
from pulsar.asyncio import Client
from pulsar.schema import JsonSchema
import _pulsar
import aiopulsar
from trustgraph.clients.llm_client import LlmClient
from trustgraph.clients.prompt_client import PromptClient
from trustgraph.schema import TextCompletionRequest, TextCompletionResponse
from trustgraph.schema import text_completion_request_queue
from trustgraph.schema import text_completion_response_queue
logger = logging.getLogger("api")
logger.setLevel(logging.INFO)
pulsar_host = "pulsar://localhost:6650"
class Publisher:
def __init__(self, pulsar_host, topic, schema=None, max_size=10):
self.pulsar_host = pulsar_host
self.topic = topic
self.schema = schema
self.q = asyncio.Queue(maxsize=max_size)
async def run(self):
async with aiopulsar.connect(self.pulsar_host) as client:
async with client.create_producer(
topic=self.topic,
schema=self.schema,
) as producer:
while True:
id, item = await self.q.get()
await producer.send(item, { "id": id })
async def send(self, id, msg):
await self.q.put((id, msg))
class Subscriber:
def __init__(self, pulsar_host, topic, subscription, consumer_name,
schema=None, max_size=10):
self.pulsar_host = pulsar_host
self.topic = topic
self.subscription = subscription
self.consumer_name = consumer_name
self.schema = schema
self.q = {}
async def run(self):
async with aiopulsar.connect(pulsar_host) as client:
async with client.subscribe(
topic=self.topic,
subscription_name=self.subscription,
consumer_name=self.consumer_name,
schema=self.schema,
) as consumer:
while True:
msg = await consumer.receive()
id = msg.properties()["id"]
value = msg.value()
if id in self.q:
await self.q[id].put(value)
async def subscribe(self, id):
q = asyncio.Queue()
self.q[id] = q
return q
async def unsubscribe(self, id):
if id in self.q:
# self.q[id].shutdown()
del self.q[id]
class Api:
def __init__(self, **config):
self.port = int(config.get("port", "8088"))
self.app = web.Application(middlewares=[])
self.llm_in = Subscriber(
pulsar_host, text_completion_response_queue,
"api-gateway", "api-gateway",
JsonSchema(TextCompletionResponse)
)
self.llm_out = Publisher(
pulsar_host, text_completion_request_queue,
schema=JsonSchema(TextCompletionRequest)
)
self.app.add_routes([
web.post("/api/v1/text-completion", self.llm),
web.post("/api/v1/prompt", self.prompt),
])
async def llm(self, request):
logger.info("LLM...")
id = str(uuid.uuid4())
try:
data = await request.json()
q = await self.llm_in.subscribe(id)
await self.llm_out.send(
id,
TextCompletionRequest(
system=data["system"],
prompt=data["prompt"]
)
)
resp = await q.get()
await self.llm_in.unsubscribe(id)
return web.json_response(
{
"response": resp.response,
},
content_type="application/json",
)
except Exception as e:
logging.error(f"Exception: {e}")
return web.HTTPInternalServerError()
async def prompt(self, request):
logger.info("LLM...")
try:
data = await request.json()
try:
id = data["id"]
variables = data["variables"]
except:
return web.HTTPBadRequest()
resp = self.prompt_client.request(
id=id, variables=variables
)
if isinstance(resp, str):
return web.json_response(
{
"text": resp,
},
content_type="application/json",
)
else:
return web.json_response(
{
"object": resp,
},
content_type="application/json",
)
except Exception as e:
logging.error(f"Exception: {e}")
return web.HTTPInternalServerError()
async def app_factory(self):
self.llm_pub_task = asyncio.create_task(self.llm_in.run())
self.llm_sub_task = asyncio.create_task(self.llm_out.run())
return self.app
def run(self):
web.run_app(self.app_factory(), port=self.port)
a = Api()
a.run()

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@ -58,6 +58,7 @@ setuptools.setup(
"google-generativeai",
"ibis",
"jsonschema",
"aiohttp",
],
scripts=[
"scripts/agent-manager-react",