I have nested JSON File which loaded as python dictionary called movies_data as follows:
with open('project_folder/data_movie_absa.json') as infile:
movies_data = json.load(infile)
It has the following structure:
{ "review_1": {"tokens": ["Best", "show", "ever", "!"],
"movie_user_4": {"aspects": ["O", "B_A", "O", "O"], "sentiments": ["B_S", "O", "O", "O"]},
"movie_user_6": {"aspects": ["O", "B_A", "O", "O"], "sentiments": ["B_S", "O", "O", "O"]}},
"review_2": {"tokens": ["Its", "a", "great", "show"],
"movie_user_1": {"aspects": ["O", "O", "O", "B_A"], "sentiments": ["O", "O", "B_S", "O"]},
"movie_user_6": {"aspects": ["O", "O", "O", "B_A"], "sentiments": ["O", "O", "B_S", "O"]}},
"review_3": {"tokens": ["I", "love", "this", "actor", "!"],
"movie_user_17": {"aspects": ["O", "O", "O", "B_A", "O"], "sentiments": ["O", "B_S", "O", "O", "O"]},
"movie_user_23": {"aspects": ["O", "O", "O", "B_A", "O"], "sentiments": ["O", "B_S", "O", "O", "O"]}},
"review_4": {"tokens": ["Bad", "movie"],
"movie_user_1": {"aspects": ["O", "B_A"], "sentiments": ["B_S", "O"]},
"movie_user_6": {"aspects": ["O", "B_A"], "sentiments": ["B_S", "O"]}}
...
}
It has 3324 key-value pairs (i.e., up to key review_3224). I want to split this file into two json files (train_movies.json, test_movies.json) based on specific list of keys:
test_IDS = ['review_2', 'review_4']
with open("train_movies.json", "w", encoding="utf-8-sig") as outfile_train, open("test_movies.json", "w", encoding="utf-8-sig") as outfile_test:
for review_id, review in movies_data.items():
if review_id in test_IDS:
outfile = outfile_test
outfile.write('{"%s": "%s"}' % (review_id, movies_data[review_id]))
else:
outfile = outfile_train
outfile.write('{"%s": "%s"}' % (review_id, movies_data[review_id]))
outfile.close()
for test_movies.json I have the following structure:
{"review_2": "{'tokens': ['Its', 'a', 'great', 'show'],
'movie_user_4': {'aspects': ['O', 'O', 'O', 'B_A'], 'sentiments': ['O', 'O', 'B_S', 'O']},
'movie_user_6': {'aspects': ['O', 'O', 'O', 'B_A'], 'sentiments': ['O', 'O', 'B_S', 'O']}}"}
{"review_4": "{'tokens': ['Bad', 'movie'],
'movie_user_1': {'aspects': ['O', 'B_A'], 'sentiments': ['B_S', 'O']},
'movie_user_6': {'aspects': ['O', 'B_A'], 'sentiments': ['B_S', 'O']}}"}
Unfortunately, this structure has some problems like inconsistent double quotes (" vs. '), no commas between reviews etc... Therefore, I have the following problem by reading test_movies.json as json file:
with open('project_folder/test_movies.json') as infile:
testing_data = json.load(infile)
The error message:
JSONDecodeError Traceback (most recent call last)
<ipython-input-10-3548a718f421> in <module>()
1 with open('/content/gdrive/My Drive/project_folder/test_movies.json') as infile:
----> 2 testing_data = json.load(infile)
1 frames
/usr/lib/python3.6/json/__init__.py in loads(s, encoding, cls, object_hook, parse_float, parse_int, parse_constant, object_pairs_hook, **kw)
342 if s.startswith('\ufeff'):
343 raise JSONDecodeError("Unexpected UTF-8 BOM (decode using utf-8-sig)",
--> 344 s, 0)
345 else:
346 if not isinstance(s, (bytes, bytearray)):
JSONDecodeError: Unexpected UTF-8 BOM (decode using utf-8-sig): line 1 column 1 (char 0)
The desired output should have a correct json structure like the original movies_data so python could read it correctly as a dict.
Could you help me please to correct my python code?
Thank you in advance!
Issue
Code
train, test = {}, {} # Dicionaries for storing training and test data
for review_id, review in movies_data.items():
if review_id in test_IDS:
test[review_id] = review
else:
train[review_id] = review
# Output Test
with open("test_movies.json", "w") as outfile_test:
json.dump(test, outfile_test)
# Output training
with open("train_movies.json", "w") as outfile_train:
json.dump(train, outfile_train)
Results
Input: File Contents of test.json
{ "review_1": {"tokens": ["Best", "show", "ever", "!"],
"movie_user_4": {"aspects": ["O", "B_A", "O", "O"], "sentiments": ["B_S", "O", "O", "O"]},
"movie_user_6": {"aspects": ["O", "B_A", "O", "O"], "sentiments": ["B_S", "O", "O", "O"]}},
"review_2": {"tokens": ["Its", "a", "great", "show"],
"movie_user_1": {"aspects": ["O", "O", "O", "B_A"], "sentiments": ["O", "O", "B_S", "O"]},
"movie_user_6": {"aspects": ["O", "O", "O", "B_A"], "sentiments": ["O", "O", "B_S", "O"]}},
"review_3": {"tokens": ["I", "love", "this", "actor", "!"],
"movie_user_17": {"aspects": ["O", "O", "O", "B_A", "O"], "sentiments": ["O", "B_S", "O", "O", "O"]},
"movie_user_23": {"aspects": ["O", "O", "O", "B_A", "O"], "sentiments": ["O", "B_S", "O", "O", "O"]}},
"review_4": {"tokens": ["Bad", "movie"],
"movie_user_1": {"aspects": ["O", "B_A"], "sentiments": ["B_S", "O"]},
"movie_user_6": {"aspects": ["O", "B_A"], "sentiments": ["B_S", "O"]}}
}
Output: File Contents of test_movies.json
{"review_2": {"tokens": ["Its", "a", "great", "show"], "movie_user_1": {"aspects": ["O", "O", "O", "B_A"], "sentiments": ["O", "O", "B_S", "O"]}, "movie_user_6": {"aspects": ["O", "O", "O", "B_A"], "sentiments": ["O", "O", "B_S", "O"]}}, "review_4": {"tokens": ["Bad", "movie"], "movie_user_1": {"aspects": ["O", "B_A"], "sentiments": ["B_S", "O"]}, "movie_user_6": {"aspects": ["O", "B_A"], "sentiments": ["B_S", "O"]}}}
Output: File Contents of train_movies.json
{"review_1": {"tokens": ["Best", "show", "ever", "!"], "movie_user_4": {"aspects": ["O", "B_A", "O", "O"], "sentiments": ["B_S", "O", "O", "O"]}, "movie_user_6": {"aspects": ["O", "B_A", "O", "O"], "sentiments": ["B_S", "O", "O", "O"]}}, "review_3": {"tokens": ["I", "love", "this", "actor", "!"], "movie_user_17": {"aspects": ["O", "O", "O", "B_A", "O"], "sentiments": ["O", "B_S", "O", "O", "O"]}, "movie_user_23": {"aspects": ["O", "O", "O", "B_A", "O"], "sentiments": ["O", "B_S", "O", "O", "O"]}}}