michaelmior commited on
Commit
d180a03
1 Parent(s): 6f2648e

Add scripts to reproduce generation

Browse files
Files changed (5) hide show
  1. Pipfile +15 -0
  2. Pipfile.lock +955 -0
  3. augment_neg.py +86 -0
  4. extract_keywords.py +163 -0
  5. gen_dataset.sh +14 -0
Pipfile ADDED
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+ [[source]]
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+ url = "https://pypi.org/simple"
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+ verify_ssl = true
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+ name = "pypi"
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+
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+ [packages]
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+ json5 = "*"
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+ tqdm = "*"
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+ jsonpath-ng = "1.6.0"
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+ datasets = "*"
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+
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+ [dev-packages]
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+
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+ [requires]
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+ python_version = "3.8"
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845
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848
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852
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853
+ ],
854
+ "markers": "python_version >= '3.7'",
855
+ "version": "==3.4.1"
856
+ },
857
+ "yarl": {
858
+ "hashes": [
859
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890
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895
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896
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899
+ "sha256:801e9264d19643548651b9db361ce3287176671fb0117f96b5ac0ee1c3530d53",
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902
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903
+ "sha256:848cd2a1df56ddbffeb375535fb62c9d1645dde33ca4d51341378b3f5954429b",
904
+ "sha256:84fc30f71689d7fc9168b92788abc977dc8cefa806909565fc2951d02f6b7d57",
905
+ "sha256:8619d6915b3b0b34420cf9b2bb6d81ef59d984cb0fde7544e9ece32b4b3043c3",
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+ "sha256:8a854227cf581330ffa2c4824d96e52ee621dd571078a252c25e3a3b3d94a1b1",
907
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910
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917
+ "sha256:a8c1df72eb746f4136fe9a2e72b0c9dc1da1cbd23b5372f94b5820ff8ae30e0e",
918
+ "sha256:a9bd00dc3bc395a662900f33f74feb3e757429e545d831eef5bb280252631984",
919
+ "sha256:aa102d6d280a5455ad6a0f9e6d769989638718e938a6a0a2ff3f4a7ff8c62cc4",
920
+ "sha256:aaaea1e536f98754a6e5c56091baa1b6ce2f2700cc4a00b0d49eca8dea471074",
921
+ "sha256:ad4d7a90a92e528aadf4965d685c17dacff3df282db1121136c382dc0b6014d2",
922
+ "sha256:b8477c1ee4bd47c57d49621a062121c3023609f7a13b8a46953eb6c9716ca392",
923
+ "sha256:ba6f52cbc7809cd8d74604cce9c14868306ae4aa0282016b641c661f981a6e91",
924
+ "sha256:bac8d525a8dbc2a1507ec731d2867025d11ceadcb4dd421423a5d42c56818541",
925
+ "sha256:bef596fdaa8f26e3d66af846bbe77057237cb6e8efff8cd7cc8dff9a62278bbf",
926
+ "sha256:c0ec0ed476f77db9fb29bca17f0a8fcc7bc97ad4c6c1d8959c507decb22e8572",
927
+ "sha256:c38c9ddb6103ceae4e4498f9c08fac9b590c5c71b0370f98714768e22ac6fa66",
928
+ "sha256:c7224cab95645c7ab53791022ae77a4509472613e839dab722a72abe5a684575",
929
+ "sha256:c74018551e31269d56fab81a728f683667e7c28c04e807ba08f8c9e3bba32f14",
930
+ "sha256:ca06675212f94e7a610e85ca36948bb8fc023e458dd6c63ef71abfd482481aa5",
931
+ "sha256:d1d2532b340b692880261c15aee4dc94dd22ca5d61b9db9a8a361953d36410b1",
932
+ "sha256:d25039a474c4c72a5ad4b52495056f843a7ff07b632c1b92ea9043a3d9950f6e",
933
+ "sha256:d5ff2c858f5f6a42c2a8e751100f237c5e869cbde669a724f2062d4c4ef93551",
934
+ "sha256:d7d7f7de27b8944f1fee2c26a88b4dabc2409d2fea7a9ed3df79b67277644e17",
935
+ "sha256:d7eeb6d22331e2fd42fce928a81c697c9ee2d51400bd1a28803965883e13cead",
936
+ "sha256:d8a1c6c0be645c745a081c192e747c5de06e944a0d21245f4cf7c05e457c36e0",
937
+ "sha256:d8b889777de69897406c9fb0b76cdf2fd0f31267861ae7501d93003d55f54fbe",
938
+ "sha256:d9e09c9d74f4566e905a0b8fa668c58109f7624db96a2171f21747abc7524234",
939
+ "sha256:db8e58b9d79200c76956cefd14d5c90af54416ff5353c5bfd7cbe58818e26ef0",
940
+ "sha256:ddb2a5c08a4eaaba605340fdee8fc08e406c56617566d9643ad8bf6852778fc7",
941
+ "sha256:e0381b4ce23ff92f8170080c97678040fc5b08da85e9e292292aba67fdac6c34",
942
+ "sha256:e23a6d84d9d1738dbc6e38167776107e63307dfc8ad108e580548d1f2c587f42",
943
+ "sha256:e516dc8baf7b380e6c1c26792610230f37147bb754d6426462ab115a02944385",
944
+ "sha256:ea65804b5dc88dacd4a40279af0cdadcfe74b3e5b4c897aa0d81cf86927fee78",
945
+ "sha256:ec61d826d80fc293ed46c9dd26995921e3a82146feacd952ef0757236fc137be",
946
+ "sha256:ee04010f26d5102399bd17f8df8bc38dc7ccd7701dc77f4a68c5b8d733406958",
947
+ "sha256:f3bc6af6e2b8f92eced34ef6a96ffb248e863af20ef4fde9448cc8c9b858b749",
948
+ "sha256:f7d6b36dd2e029b6bcb8a13cf19664c7b8e19ab3a58e0fefbb5b8461447ed5ec"
949
+ ],
950
+ "markers": "python_version >= '3.7'",
951
+ "version": "==1.9.4"
952
+ }
953
+ },
954
+ "develop": {}
955
+ }
augment_neg.py ADDED
@@ -0,0 +1,86 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ import argparse
2
+ from pathlib import Path
3
+ import json
4
+ import sys
5
+
6
+ import json5
7
+ import jsonpath_ng
8
+ from jsonpath_ng.ext import parse
9
+
10
+
11
+ def update(keyword, keyword_val):
12
+ def _update(orig, data, field):
13
+ orig[keyword] = keyword_val
14
+ return orig
15
+
16
+ return _update
17
+
18
+
19
+ def main(input_file, schema_dir):
20
+ if input_file == "-":
21
+ input_file = sys.stdin
22
+ else:
23
+ input_file = open(input_file)
24
+
25
+ for line in input_file:
26
+ obj = json.loads(line)
27
+ schemas = {}
28
+ if obj["is_neg"]:
29
+ try:
30
+ path = parse(obj["path"])
31
+ except (
32
+ jsonpath_ng.exceptions.JsonPathParserError,
33
+ jsonpath_ng.exceptions.JsonPathLexerError,
34
+ ):
35
+ continue
36
+
37
+ schema_path = (
38
+ Path(schema_dir)
39
+ / obj["schema"]
40
+ )
41
+ if obj["schema"] not in schemas:
42
+ try:
43
+ schemas[obj["schema"]] = json.load(schema_path.open())
44
+ except json.decoder.JSONDecodeError:
45
+ schemas[obj["schema"]] = None
46
+ continue
47
+ except FileNotFoundError:
48
+ schemas[obj["schema"]] = None
49
+ continue
50
+
51
+ schema = schemas[obj["schema"]]
52
+
53
+ keyword_path = jsonpath_ng.Child(path, jsonpath_ng.Fields(obj["keyword"]))
54
+ try:
55
+ keyword_vals = keyword_path.find(schema)
56
+ except KeyError:
57
+ continue
58
+ if len(keyword_vals) > 0:
59
+ keyword_val = keyword_vals[0].value
60
+
61
+ try:
62
+ path.update(obj["obj"], update(obj["keyword"], keyword_val))
63
+ except IndexError:
64
+ continue
65
+ else:
66
+ continue
67
+
68
+ json.dump(
69
+ {
70
+ "schema": obj["schema"],
71
+ "keyword": obj["keyword"],
72
+ "obj": obj["obj"],
73
+ "is_neg": obj["is_neg"],
74
+ },
75
+ sys.stdout,
76
+ )
77
+ sys.stdout.write("\n")
78
+
79
+
80
+ if __name__ == "__main__":
81
+ parser = argparse.ArgumentParser()
82
+ parser.add_argument("-i", "--input", type=str, default="-")
83
+ parser.add_argument("-s", "--schema-dir", type=str)
84
+ args = parser.parse_args()
85
+
86
+ main(args.input, args.schema_dir)
extract_keywords.py ADDED
@@ -0,0 +1,163 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ import collections
2
+ import copy
3
+ import glob
4
+ import json
5
+ import os
6
+ import random
7
+ import sys
8
+
9
+ import json5
10
+ import jsonpath_ng.ext
11
+ import tqdm
12
+
13
+ REMOVE_KEYS = [
14
+ "$comment",
15
+ "description",
16
+ "title",
17
+ ]
18
+
19
+ KEYWORDS = {
20
+ "integer": [
21
+ "minimum",
22
+ "maximum",
23
+ "exclusiveMinimum",
24
+ "exclusiveMaximum",
25
+ "multipleOf",
26
+ ],
27
+ "object": [
28
+ "minProperties",
29
+ "maxProperties",
30
+ ],
31
+ "string": [
32
+ "minLength",
33
+ "maxLength",
34
+ "format",
35
+ "pattern",
36
+ ],
37
+ "array": [
38
+ "minContains",
39
+ "maxContains",
40
+ "minItems",
41
+ "maxItems",
42
+ "uniqueItems",
43
+ ],
44
+ }
45
+
46
+ # Numeric and integer types use the same keywords
47
+ KEYWORDS["numeric"] = KEYWORDS["integer"]
48
+
49
+
50
+ def find_type_paths(obj, json_type, path=jsonpath_ng.Root()):
51
+ if isinstance(obj, dict):
52
+ for k, v in obj.items():
53
+ # If we have the type keyword and it's value matches, we found one
54
+ if k == "type" and v == json_type:
55
+ yield path
56
+
57
+ # Continue recursively through the object's children
58
+ yield from find_type_paths(
59
+ v, json_type, jsonpath_ng.Child(path, jsonpath_ng.Fields(k))
60
+ )
61
+ elif isinstance(obj, list):
62
+ # Check each list element
63
+ for i, v in enumerate(obj):
64
+ yield from find_type_paths(
65
+ v, json_type, jsonpath_ng.Child(path, jsonpath_ng.Index(i))
66
+ )
67
+
68
+
69
+ def write_obj(schema, obj, path, keyword, is_neg):
70
+ # Skip any objects that are too large
71
+ if len(json.dumps(obj, indent=4)) <= 1024:
72
+ print(
73
+ json.dumps(
74
+ {
75
+ "schema": schema,
76
+ "obj": obj,
77
+ "path": path,
78
+ "keyword": keyword,
79
+ "is_neg": is_neg,
80
+ }
81
+ )
82
+ )
83
+
84
+
85
+ def build_obj(path, value):
86
+ # Build an object with the same shape it has in the entire document
87
+ # For example, a path of $.foo.bar[0] would create an object
88
+ # that looks like {"foo": {"bar": [value]}}
89
+ if isinstance(path, jsonpath_ng.Root):
90
+ return value
91
+ if isinstance(path.right, (jsonpath_ng.Index, jsonpath_ng.Slice)):
92
+ return build_obj(path.left, [value])
93
+ elif isinstance(path.right, jsonpath_ng.Fields):
94
+ return build_obj(path.left, {path.right.fields[0]: value})
95
+ else:
96
+ return value
97
+
98
+
99
+ def clean_obj(obj, keep_keyword):
100
+ if isinstance(obj, dict):
101
+ return {k: clean_obj(v, None) for k, v in obj.items() if k == keep_keyword}
102
+ elif isinstance(obj, list):
103
+ return [clean_obj(v, keep_keyword) for v in obj]
104
+ else:
105
+ return obj
106
+
107
+
108
+ def get_examples(data):
109
+ neg_pos = collections.defaultdict(lambda: ([], []))
110
+ for keyword_type, keywords in KEYWORDS.items():
111
+ # Find all schema elements with the given type
112
+ found_paths = find_type_paths(data, keyword_type)
113
+ for found_path in found_paths:
114
+ for found_obj in found_path.find(data):
115
+ # For each keyword, check if it is included
116
+ for keyword in keywords:
117
+ # Append to the 1st or 2nd list depending on
118
+ # whether the keyword is used in this object
119
+ has_keyword = keyword in found_obj.value
120
+
121
+ # Remove the keyword since we can't use it to predict
122
+ # obj_without_keyword.pop(keyword, None)
123
+ obj_without_keyword = clean_obj(found_obj.value, keyword)
124
+
125
+ # Remove keys we don't expect to have at inference time
126
+ for key in REMOVE_KEYS:
127
+ obj_without_keyword.pop(key, None)
128
+
129
+ path_obj = build_obj(found_path, obj_without_keyword)
130
+ neg_pos[keyword][has_keyword].append((path_obj, str(found_path)))
131
+
132
+ return neg_pos
133
+
134
+
135
+ def write_examples(schema, neg_pos):
136
+ for keyword, (neg, pos) in neg_pos.items():
137
+ # Only include cases where we have at least
138
+ # two positive and negative examples
139
+ if len(pos) > 1 and len(neg) > 1:
140
+ # Write out the positive and negative examples
141
+ for pos_item, path in pos:
142
+ write_obj(schema, pos_item, path, keyword, False)
143
+
144
+ # For negative items, generate at most the number of positives
145
+ # for (neg_item, path) in random.sample(neg, min(len(pos), len(neg))):
146
+ for neg_item, path in neg:
147
+ write_obj(schema, neg_item, path, keyword, True)
148
+
149
+
150
+ def main():
151
+ schemas = []
152
+ for line in sys.stdin:
153
+ obj = json.loads(line)
154
+ schemas.append(obj)
155
+
156
+ for schema in tqdm.tqdm(schemas):
157
+ data = json5.loads(schema["content"])
158
+ neg_pos = get_examples(data)
159
+ write_examples(schema["name"], neg_pos)
160
+
161
+
162
+ if __name__ == "__main__":
163
+ main()
gen_dataset.sh ADDED
@@ -0,0 +1,14 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ #!/bin/bash
2
+ SCHEMA_PATH=$1
3
+
4
+ function gen_data {
5
+ local split=$1
6
+ pipenv run python -c "print(__import__('datasets').load_dataset('dataunitylab/json-schema-store')['$split'].to_pandas().to_json(orient='records'))" | \
7
+ jq -c '.[]' | \
8
+ pipenv run python3 extract_keywords.py | \
9
+ pipenv run python augment_neg.py -s "$SCHEMA_PATH" | \
10
+ gzip -c > "$split.jsonl.gz"
11
+ }
12
+
13
+ gen_data "train"
14
+ gen_data "validation"