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1# This file is part of daf_butler. 

2# 

3# Developed for the LSST Data Management System. 

4# This product includes software developed by the LSST Project 

5# (http://www.lsst.org). 

6# See the COPYRIGHT file at the top-level directory of this distribution 

7# for details of code ownership. 

8# 

9# This program is free software: you can redistribute it and/or modify 

10# it under the terms of the GNU General Public License as published by 

11# the Free Software Foundation, either version 3 of the License, or 

12# (at your option) any later version. 

13# 

14# This program is distributed in the hope that it will be useful, 

15# but WITHOUT ANY WARRANTY; without even the implied warranty of 

16# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the 

17# GNU General Public License for more details. 

18# 

19# You should have received a copy of the GNU General Public License 

20# along with this program. If not, see <http://www.gnu.org/licenses/>. 

21 

22from __future__ import annotations 

23 

24__all__ = ("JsonFormatter", ) 

25 

26import builtins 

27import json 

28 

29from typing import ( 

30 TYPE_CHECKING, 

31 Any, 

32 Optional, 

33 Type, 

34) 

35 

36from .file import FileFormatter 

37 

38if TYPE_CHECKING: 38 ↛ 39line 38 didn't jump to line 39, because the condition on line 38 was never true

39 from lsst.daf.butler import StorageClass 

40 

41 

42class JsonFormatter(FileFormatter): 

43 """Interface for reading and writing Python objects to and from JSON files. 

44 """ 

45 extension = ".json" 

46 

47 unsupportedParameters = None 

48 """This formatter does not support any parameters (`frozenset`)""" 

49 

50 def _readFile(self, path: str, pytype: Optional[Type[Any]] = None) -> Any: 

51 """Read a file from the path in JSON format. 

52 

53 Parameters 

54 ---------- 

55 path : `str` 

56 Path to use to open JSON format file. 

57 pytype : `class`, optional 

58 Not used by this implementation. 

59 

60 Returns 

61 ------- 

62 data : `object` 

63 Data as Python object read from JSON file. 

64 """ 

65 with open(path, "rb") as fd: 

66 data = self._fromBytes(fd.read(), pytype) 

67 

68 return data 

69 

70 def _writeFile(self, inMemoryDataset: Any) -> None: 

71 """Write the in memory dataset to file on disk. 

72 

73 Will look for `_asdict()` method to aid JSON serialization, following 

74 the approach of the simplejson module. 

75 

76 Parameters 

77 ---------- 

78 inMemoryDataset : `object` 

79 Object to serialize. 

80 

81 Raises 

82 ------ 

83 Exception 

84 The file could not be written. 

85 """ 

86 self.fileDescriptor.location.uri.write(self._toBytes(inMemoryDataset)) 

87 

88 def _fromBytes(self, serializedDataset: bytes, pytype: Optional[Type[Any]] = None) -> Any: 

89 """Read the bytes object as a python object. 

90 

91 Parameters 

92 ---------- 

93 serializedDataset : `bytes` 

94 Bytes object to unserialize. 

95 pytype : `class`, optional 

96 Not used by this implementation. 

97 

98 Returns 

99 ------- 

100 inMemoryDataset : `object` 

101 The requested data as a Python object or None if the string could 

102 not be read. 

103 """ 

104 try: 

105 data = json.loads(serializedDataset) 

106 except json.JSONDecodeError: 

107 data = None 

108 

109 return data 

110 

111 def _toBytes(self, inMemoryDataset: Any) -> bytes: 

112 """Write the in memory dataset to a bytestring. 

113 

114 Parameters 

115 ---------- 

116 inMemoryDataset : `object` 

117 Object to serialize 

118 

119 Returns 

120 ------- 

121 serializedDataset : `bytes` 

122 bytes representing the serialized dataset. 

123 

124 Raises 

125 ------ 

126 Exception 

127 The object could not be serialized. 

128 """ 

129 if hasattr(inMemoryDataset, "_asdict"): 

130 inMemoryDataset = inMemoryDataset._asdict() 

131 return json.dumps(inMemoryDataset, ensure_ascii=False).encode() 

132 

133 def _coerceType(self, inMemoryDataset: Any, storageClass: StorageClass, 

134 pytype: Optional[Type[Any]] = None) -> Any: 

135 """Coerce the supplied inMemoryDataset to type `pytype`. 

136 

137 Parameters 

138 ---------- 

139 inMemoryDataset : `object` 

140 Object to coerce to expected type. 

141 storageClass : `StorageClass` 

142 StorageClass associated with `inMemoryDataset`. 

143 pytype : `type`, optional 

144 Override type to use for conversion. 

145 

146 Returns 

147 ------- 

148 inMemoryDataset : `object` 

149 Object of expected type `pytype`. 

150 """ 

151 if inMemoryDataset is not None and pytype is not None and not hasattr(builtins, pytype.__name__): 

152 if storageClass.isComposite(): 152 ↛ 154line 152 didn't jump to line 154, because the condition on line 152 was never false

153 inMemoryDataset = storageClass.delegate().assemble(inMemoryDataset, pytype=pytype) 

154 elif not isinstance(inMemoryDataset, pytype): 

155 # Hope that we can pass the arguments in directly 

156 inMemoryDataset = pytype(inMemoryDataset) 

157 return inMemoryDataset