adulau/napkin-text-analysis
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new: [output] readable output to help analyst reading the output

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First version based on @C00kie- feedback.

Potential improvement could be a more tabular representation.
This commit is contained in:
Alexandre Dulaunoy 2020-10-09 07:48:06 +02:00
parent 9364c75477
commit 49be2bf809
Signed by: adulau
GPG key ID: 09E2CD4944E6CBCD
1 changed files with 20 additions and 5 deletions
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17
bin/napkin.py
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@ -13,7 +13,7 @@ parser.add_argument('-v', help="verbose output")
parser.add_argument('-f', help="file to analyse")
parser.add_argument('-t', help="maximum value for the top list (default is 100) -1 is no limit", default=100)
parser.add_argument('-s', help="display the overall statistics (default is False)", default=False, action='store_true')
parser.add_argument('-o', help="output format (default is csv), json", default="csv")
parser.add_argument('-o', help="output format (default is csv), json, readable", default="csv")
parser.add_argument('-l', help="language used for the analysis (default is en)", default="en")
parser.add_argument('--verbatim', help="Don't use the lemmatized form, use verbatim. (default is the lematized form)", default=False, action='store_true')
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')
@ -114,14 +114,29 @@ for entity in doc.ents:
if args.o == "json":
output_json = {"format":"napkin"}
for anal in analysis:
if args.o == "readable":
previous_value = None
x = redisdb.zrevrange(anal, 1, args.t, withscores=True, score_cast_func=int)
if args.o == "csv":
print("# Top {} of {}".format(args.t, anal))
elif args.o == "readable":
print("")
print("+++++ Top {} of {} +++++".format(args.t, anal))
print("")
elif args.o == "json":
output_json.update({anal:[]})
for a in x:
if args.o == "csv":
print("{},{}".format(a[0],a[1]))
elif args.o == "readable":
if previous_value is None:
previous_value = a[1]
elif previous_value == a[1]:
print(" - {}".format(a[0]))
elif a[1] < previous_value:
previous_value = a[1]
print(" ### {} occurences".format(a[1]))
print(" - {}".format(a[0]))
elif args.o == "json":
output_json[anal].append(a)
if args.o == "csv":