michaelmior
commited on
Commit
•
d180a03
1
Parent(s):
6f2648e
Add scripts to reproduce generation
Browse files- Pipfile +15 -0
- Pipfile.lock +955 -0
- augment_neg.py +86 -0
- extract_keywords.py +163 -0
- gen_dataset.sh +14 -0
Pipfile
ADDED
@@ -0,0 +1,15 @@
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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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[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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[dev-packages]
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[requires]
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python_version = "3.8"
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Pipfile.lock
ADDED
@@ -0,0 +1,955 @@
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{
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"_meta": {
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"hash": {
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"sha256": "c8d52b52c334aeb25dd7aa98a5c8d2eddafb1248e6a41b388680f2434b3db253"
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},
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"pipfile-spec": 6,
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"requires": {
|
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"python_version": "3.8"
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},
|
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"sources": [
|
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{
|
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"name": "pypi",
|
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"url": "https://pypi.org/simple",
|
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"verify_ssl": true
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}
|
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]
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},
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"default": {
|
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"aiohttp": {
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"hashes": [
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"sha256:0593822dcdb9483d41f12041ff7c90d4d1033ec0e880bcfaf102919b715f47f1",
|
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"sha256:10afd99b8251022ddf81eaed1d90f5a988e349ee7d779eb429fb07b670751e8c",
|
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"sha256:17e7c051f53a0d2ebf33013a9cbf020bb4e098c4bc5bce6f7b0c962108d97eab",
|
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"sha256:221204dbda5ef350e8db6287937621cf75e85778b296c9c52260b522231940ed",
|
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"sha256:2506d9f7a9b91033201be9ffe7d89c6a54150b0578803cce5cb84a943d075bc3",
|
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"sha256:268ba22d917655d1259af2d5659072b7dc11b4e1dc2cb9662fdd867d75afc6a4",
|
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"sha256:2bd9d334412961125e9f68d5b73c1d0ab9ea3f74a58a475e6b119f5293eee7ba",
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"sha256:305edae1dea368ce09bcb858cf5a63a064f3bff4767dec6fa60a0cc0e805a1d3",
|
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"sha256:32dc814ddbb254f6170bca198fe307920f6c1308a5492f049f7f63554b88ef36",
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"sha256:35d78076736f4a668d57ade00c65d30a8ce28719d8a42471b2a06ccd1a2e3063",
|
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"sha256:3b2feaf1b7031ede1bc0880cec4b0776fd347259a723d625357bb4b82f62687b",
|
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"sha256:418bb0038dfafeac923823c2e63226179976c76f981a2aaad0ad5d51f2229bca",
|
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"sha256:419f009fa4cfde4d16a7fc070d64f36d70a8d35a90d71aa27670bba2be4fd039",
|
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"sha256:47f6eb74e1ecb5e19a78f4a4228aa24df7fbab3b62d4a625d3f41194a08bd54f",
|
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"sha256:4d79aad0ad4b980663316f26d9a492e8fab2af77c69c0f33780a56843ad2f89e",
|
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"sha256:4f7e69a7fd4b5ce419238388e55abd220336bd32212c673ceabc57ccf3d05b55",
|
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"sha256:52b8b4e06fc15519019e128abedaeb56412b106ab88b3c452188ca47a25c4093",
|
38 |
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"sha256:56181093c10dbc6ceb8a29dfeea1e815e1dfdc020169203d87fd8d37616f73f9",
|
39 |
+
"sha256:63f41a909d182d2b78fe3abef557fcc14da50c7852f70ae3be60e83ff64edba5",
|
40 |
+
"sha256:689eb4356649ec9535b3686200b231876fb4cab4aca54e3bece71d37f50c1d13",
|
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"sha256:69046cd9a2a17245c4ce3c1f1a4ff8c70c7701ef222fce3d1d8435f09042bba1",
|
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"sha256:69b97aa5792428f321f72aeb2f118e56893371f27e0b7d05750bcad06fc42ca1",
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"sha256:69ff36d3f8f5652994e08bd22f093e11cfd0444cea310f92e01b45a4e46b624e",
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"sha256:6f121900131d116e4a93b55ab0d12ad72573f967b100e49086e496a9b24523ea",
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"sha256:6ff71ede6d9a5a58cfb7b6fffc83ab5d4a63138276c771ac91ceaaddf5459644",
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"sha256:71a8f241456b6c2668374d5d28398f8e8cdae4cce568aaea54e0f39359cd928d",
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"sha256:74e4e48c8752d14ecfb36d2ebb3d76d614320570e14de0a3aa7a726ff150a03c",
|
48 |
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"sha256:7673a76772bda15d0d10d1aa881b7911d0580c980dbd16e59d7ba1422b2d83cd",
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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"
|