#!/usr/bin/env python3 # -*- coding: utf-8 -*- # usage : # python3 run_test_NLPtools_EZ.py # """ @author: stephane schneider """ import requests outputs=['doc', 'json'] languages=['en','fr'] # dev # uri="http://nlptools-02.tdmservices.intra.inist.fr" # prod uri_prod="https://nlp-tools-1.services.inist.fr" uri_dev="http://nlptools-02.tdmservices.intra.inist.fr" uri=uri_dev # parameter headers = {'content-type': 'application/octet-stream'} query= {"indent": "true"} # data : # -- fonctionne pas # doc = "../data/data.json" # test_files = { 'file': open(doc, 'rb')} # response = requests.post(url , params = query, files = test_files , stream=True, headers=headers) #{stemmer,termMatcher,ner,NPchunker,POStagger,gazetteer,NPchunkerDP,lefff_tagger} for language in languages: if language == "en": engines=["postagger", "stemmer", "npchunker", "npchunkerdp", "termmatcher", "ner"] doc="""[ {"id":"PhnlUo_d6LoJPLN3YUjh5qBLc","value":"Non-local effects by homogenization or 3D–1D dimension reduction in elastic materials reinforced by stiff fibers.We first consider an elastic thin heterogeneous cylinder of radius of order ε: the interior of the cylinder is occupied by a stiff material (fiber) that is surrounded by a soft material (matrix). By assuming that the elasticity tensor of the fiber does not scale with ε and that of the matrix scales with ε2, we prove that the one dimensional model is a nonlocal system.We then consider a reference configuration domain filled out by periodically distributed rods similar to those described above. We prove that the homogenized model is a second order nonlocal problem.In particular, we show that the homogenization problem is directly connected to the 3D–1D dimensional reduction problem."}, ]""" else: engines=["postagger", "stemmer"] doc="""[ {"id":"xBKeVishRTsAqsdsqJn5YWo0HpuD","value":"Le déplacement chimique des carbones en phase gazeuse et en fonction de la concentration dans dix-neuf solvants dans le but de séparer les différents termes de constante dus aux interactions"}, ]""" for engine in engines: for output in outputs: url ="{}/v1/{}/{}/analyze".format(uri, language, engine) query['output'] = output response = requests.post(url , params = query, data = doc.encode('utf-8'), stream=True, headers=headers) print("\n------------ {} ({} - {}) :".format(engine,output,language )) print(url) print("REQUEST STATUS : {}".format(response.status_code)) print("HEADERS : {}\n".format(response.headers)) if response.status_code == 200: print(response.text) else: print("ERROR : nothing found !")