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https://github.com/adulau/napkin-text-analysis.git
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new: [output] readable output to help analyst reading the output
First version based on @C00kie- feedback. Potential improvement could be a more tabular representation.
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1 changed files with 20 additions and 5 deletions
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@ -13,7 +13,7 @@ parser.add_argument('-v', help="verbose output")
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parser.add_argument('-f', help="file to analyse")
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parser.add_argument('-t', help="maximum value for the top list (default is 100) -1 is no limit", default=100)
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parser.add_argument('-s', help="display the overall statistics (default is False)", default=False, action='store_true')
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parser.add_argument('-o', help="output format (default is csv), json", default="csv")
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parser.add_argument('-o', help="output format (default is csv), json, readable", default="csv")
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parser.add_argument('-l', help="language used for the analysis (default is en)", default="en")
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parser.add_argument('--verbatim', help="Don't use the lemmatized form, use verbatim. (default is the lematized form)", default=False, action='store_true')
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parser.add_argument('--no-flushdb', help="Don't flush the redisdb, useful when you want to process multiple files and aggregate the results. (by default the redis database is flushed at each run)", default=False, action='store_true')
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@ -114,20 +114,35 @@ for entity in doc.ents:
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if args.o == "json":
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output_json = {"format":"napkin"}
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for anal in analysis:
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if args.o == "readable":
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previous_value = None
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x = redisdb.zrevrange(anal, 1, args.t, withscores=True, score_cast_func=int)
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if args.o == "csv":
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print ("# Top {} of {}".format(args.t, anal))
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print("# Top {} of {}".format(args.t, anal))
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elif args.o == "readable":
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print("")
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print("+++++ Top {} of {} +++++".format(args.t, anal))
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print("")
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elif args.o == "json":
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output_json.update({anal:[]})
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for a in x:
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if args.o == "csv":
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print ("{},{}".format(a[0],a[1]))
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print("{},{}".format(a[0],a[1]))
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elif args.o == "readable":
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if previous_value is None:
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previous_value = a[1]
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elif previous_value == a[1]:
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print(" - {}".format(a[0]))
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elif a[1] < previous_value:
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previous_value = a[1]
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print(" ### {} occurences".format(a[1]))
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print(" - {}".format(a[0]))
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elif args.o == "json":
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output_json[anal].append(a)
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if args.o == "csv":
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print ("#")
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print("#")
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if args.s:
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print (redisdb.hgetall('stats'))
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print(redisdb.hgetall('stats'))
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if args.o == "json":
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print(json.dumps(output_json))
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