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154 lines
4.8 KiB
Python
154 lines
4.8 KiB
Python
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from functools import partial
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from http.server import BaseHTTPRequestHandler, HTTPServer
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import json
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import model as embeddings
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import argparse
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import traceback
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def toArray(emb):
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return [v.item() for v in emb]
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class EmbeddingsServer(BaseHTTPRequestHandler):
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embService: embeddings.EmbeddingService
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def __init__(self, embService, *args, **kwargs):
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self.embService = embService
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super().__init__(*args, **kwargs)
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def do_POST(self):
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try:
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if self.path == '/embeddings':
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self.sendEmbeddings()
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return
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if self.path == '/completion':
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self.sendCompletion()
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return
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if self.path == '/compare':
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self.sendCompare()
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return
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except BaseException as e:
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print('Failed to process', e)
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pass
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self.send_response(200)
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self.send_header("Content-type", "text/json")
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self.end_headers()
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obj = {
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"result": False,
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"error": "Unknown service"
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}
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self.wfile.write(bytes(json.dumps(obj), "utf-8"))
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def sendEmbeddings(self):
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data = self.rfile.read(int(self.headers['Content-Length']))
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jsbody = json.loads(data)
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model = jsbody["model"]
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try:
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embeddings = self.embService.embeddings(jsbody["input"])
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emb = toArray(embeddings[0])
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obj = {
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"data": [
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{
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"embedding": emb,
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"size": len(emb)
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}
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],
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"model": model,
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"usage": {
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"prompt_tokens": embeddings[1],
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"total_tokens": 1
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}
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}
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self.send_response(200)
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self.send_header("Content-type", "text/json")
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self.end_headers()
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self.wfile.write(bytes(json.dumps(obj), "utf-8"))
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except BaseException as e:
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# self.send_response(400, str(e))
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self.send_error(400, str(e))
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self.end_headers()
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print('error', e)
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traceback.print_exc()
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pass
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def sendCompletion(self):
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self.send_response(200)
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self.send_header("Content-type", "text/json")
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self.end_headers()
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data = self.rfile.read(int(self.headers['Content-Length']))
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jsbody = json.loads(data)
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completion = self.embService.completion(jsbody["input"], max_length=jsbody["max_length"], temperature=jsbody["temperature"] )
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model = jsbody["model"]
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obj = {
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"data": [
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{
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"completion": completion
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}
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],
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"model": model
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}
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self.wfile.write(bytes(json.dumps(obj), "utf-8"))
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def sendCompare(self):
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self.send_response(200)
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self.send_header("Content-type", "text/json")
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self.end_headers()
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data = self.rfile.read(int(self.headers['Content-Length']))
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jsbody = json.loads(data)
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emb1 = self.embService.embeddings(jsbody["input"])
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emb2 = self.embService.embeddings(jsbody["compare"])
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model = jsbody["model"]
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e1 = toArray(emb1[0])
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e2 = toArray(emb2[0])
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obj = {
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"similarity": self.embService.compare(emb1[0], emb2[0]).item(),
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"input": e1,
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"input_len": len(e1),
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"compare": e2,
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"compare_len": len(e2),
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"model": model
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}
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self.wfile.write(bytes(json.dumps(obj), "utf-8"))
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if __name__ == "__main__":
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parser = argparse.ArgumentParser(
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prog = 'Embedding\'s service')
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# 1024, sentence-transformers/all-roberta-large-v1
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# 386, sentence-transformers/all-MiniLM-L6-v2
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parser.add_argument('--model', default="sentence-transformers/all-MiniLM-L6-v2")
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parser.add_argument('--host', default="0.0.0.0")
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parser.add_argument('--device', default='cpu')
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parser.add_argument('--port', default=4070) # option that takes a value
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args = parser.parse_args()
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hostName = args.host
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serverPort = args.port
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device = args.device
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model = args.model
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print('loading model:', model, ' on device:', device)
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emb = embeddings.EmbeddingService(model, device)
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webServer = HTTPServer((hostName, serverPort), partial(EmbeddingsServer, emb), bind_and_activate=False)
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webServer.allow_reuse_address = True
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webServer.daemon_threads = True
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webServer.server_bind()
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webServer.server_activate()
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print("Embedding started http://%s:%s" % (hostName, serverPort))
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try:
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webServer.serve_forever()
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except KeyboardInterrupt:
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pass
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webServer.server_close()
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print("Server stopped.")
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