-
Notifications
You must be signed in to change notification settings - Fork 0
Expand file tree
/
Copy pathjson2py.py
More file actions
191 lines (144 loc) · 5.82 KB
/
json2py.py
File metadata and controls
191 lines (144 loc) · 5.82 KB
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
"""
json2py - Convert JSON to Python Dataclasses instantly
Fixed version with proper nested class support
"""
import json
import sys
from pathlib import Path
from typing import Any, Dict, List, Optional
def to_snake_case(name: str) -> str:
"""Convert CamelCase or kebab-case to snake_case"""
name = name.replace("-", "_")
result = []
for i, char in enumerate(name):
if char.isupper() and i > 0:
result.append('_')
result.append(char.lower())
return ''.join(result)
def to_pascal_case(name: str) -> str:
return ''.join(word.capitalize() for word in name.split('_'))
def get_python_type(value: Any) -> tuple[str, set]:
imports = set()
if isinstance(value, bool):
return "bool", imports
elif isinstance(value, int):
return "int", imports
elif isinstance(value, float):
return "float", imports
elif isinstance(value, str):
# Check if it looks like ISO datetime
if 'T' in value and (value.count('-') >= 2 or value.count(':') >= 2):
imports.add("from datetime import datetime")
return "datetime", imports
return "str", imports
elif isinstance(value, list):
if not value:
imports.add("from typing import List, Any")
return "List[Any]", imports
element_type, element_imports = get_python_type(value[0])
imports.update(element_imports)
all_same = all(type(item) == type(value[0]) for item in value)
if all_same and element_type not in ["Any", "dict"]:
imports.add("from typing import List")
return f"List[{element_type}]", imports
else:
imports.add("from typing import List, Any")
return "List[Any]", imports
elif value is None:
imports.add("from typing import Optional")
return "Optional[Any]", imports
else:
imports.add("from typing import Any")
return "Any", imports
def dict_to_dataclass(class_name: str, data: Dict, all_classes: Dict[str, str]) -> str:
imports = set()
fields = []
for key, value in data.items():
field_name = to_snake_case(key)
if isinstance(value, dict):
nested_class_name = to_pascal_case(field_name)
field_type = nested_class_name
if nested_class_name not in all_classes:
nested_code = dict_to_dataclass(nested_class_name, value, all_classes)
all_classes[nested_class_name] = nested_code
elif isinstance(value, list) and value and isinstance(value[0], dict):
nested_class_name = to_pascal_case(field_name.rstrip('s'))
field_type = f"List[{nested_class_name}]"
imports.add("from typing import List")
if nested_class_name not in all_classes and value[0]:
nested_code = dict_to_dataclass(nested_class_name, value[0], all_classes)
all_classes[nested_class_name] = nested_code
else:
# Primitive type or simple list
field_type, type_imports = get_python_type(value)
imports.update(type_imports)
# Handle None values
if value is None:
field_type = f"Optional[{field_type}]"
imports.add("from typing import Optional")
fields.append(f" {field_name}: {field_type}")
# Build the dataclass
imports_str = "\n".join(sorted(imports)) if imports else ""
if imports_str:
imports_str += "\n\n"
fields_str = "\n".join(fields)
return f"""{imports_str}@dataclass
class {class_name}:
{fields_str}
@classmethod
def from_dict(cls, data: dict):
return cls(**data)
def to_dict(self):
return {{k: v for k, v in self.__dict__.items() if v is not None}}
"""
def generate_python_code(data: Dict, root_name: str) -> str:
"""Generate complete Python code from JSON data"""
all_classes = {}
root_class = dict_to_dataclass(to_pascal_case(root_name), data, all_classes)
# Build the complete file
imports = "from dataclasses import dataclass\n"
imports += "from typing import Any, Dict, List, Optional\n\n"
# Add all nested classes first, then the root class
result = imports
for class_code in all_classes.values():
result += class_code + "\n\n"
result += root_class
return result
def main():
if len(sys.argv) < 2:
print("❌ Usage: python json2py.py <input.json> [--output output.py]")
print("\nExample:")
print(" python json2py.py user.json")
print(" python json2py.py api-response.json --output models.py")
sys.exit(1)
input_file = sys.argv[1]
output_file = "models.py"
# Parse --output flag
if "--output" in sys.argv:
idx = sys.argv.index("--output")
if idx + 1 < len(sys.argv):
output_file = sys.argv[idx + 1]
# Read JSON
try:
with open(input_file, 'r') as f:
data = json.load(f)
except FileNotFoundError:
print(f"❌ File not found: {input_file}")
sys.exit(1)
except json.JSONDecodeError as e:
print(f"❌ Invalid JSON: {e}")
sys.exit(1)
root_name = Path(input_file).stem
python_code = generate_python_code(data, root_name)
with open(output_file, 'w') as f:
f.write(python_code)
print(f"✅ Generated: {output_file}")
print(f"📦 Root class: {to_pascal_case(root_name)}")
# Count classes
class_count = python_code.count("@dataclass")
print(f"📚 Total classes: {class_count}")
# Count lines
lines = len(python_code.split('\n'))
print(f"📝 Lines of code: {lines}")
if __name__ == "__main__":
main()