| from entity import Docs, Cluster
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| from fastapi import FastAPI
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| import time
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| import json
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| from fastapi.middleware.cors import CORSMiddleware
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| from function import topic_clustering as tc
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|
|
|
|
| app = FastAPI()
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| app.add_middleware(
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| CORSMiddleware,
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| allow_origins=["*"],
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| allow_credentials=True,
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| allow_methods=["*"],
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| allow_headers=["*"],
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| )
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|
|
|
|
| @app.post("/newsanalysis/topic_clustering")
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| def topic_clustering(item: Docs):
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| docs = item.response["docs"]
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|
|
| hash_id = str(time.time())
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| top_cluster = item.top_cluster
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| top_sentence = item.top_sentence
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| topn_summary = item.topn_summary
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| with open("log/input_{0}.txt".format(hash_id), "w+") as f:
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| f.write(json.dumps({"docs": docs, "key": item.keyword}))
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| st_time = time.time()
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| print("start ")
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| print("len doc: ", len(docs))
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| threshold = 0.1
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| results = tc.topic_clustering(docs, threshold, top_cluster=top_cluster, top_sentence=top_sentence,
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| topn_summary=topn_summary)
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| with open("log/result_{0}.txt".format(hash_id), "w+") as f:
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| f.write(json.dumps(results))
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| print("time analysis: ", time.time() - st_time)
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| return results
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|
|
|
|