-
Notifications
You must be signed in to change notification settings - Fork 0
/
file_converter.py
153 lines (127 loc) · 4.55 KB
/
file_converter.py
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
import importlib
import json
import pandas
import yaml
from json2html import *
from pathlib import Path
PACKAGE = "plugins"
class LoadPluginError(Exception):
"""Custom exception to handle plugin loading errors."""
def __init__(self, mod_name, e, func_name=None):
func_str = f"'{func_name}' from" if func_name else ""
self.message = f"Error loading {func_str}{mod_name}: {e}"
super().__init__(self.message)
class FileConverter(object):
"""File format converter, with the option to use custom user-defined
conversion plugins.
Supported inputs: csv, json
Supported outputs: html, yaml
"""
def __init__(
self,
input_file,
output_file,
plugin=None,
package=PACKAGE,
read_func=None,
write_func=None,
):
self.input_file = input_file
self.output_file = output_file
self.plugin = plugin
self.package = PACKAGE
self.read_func = read_func
self.write_func = write_func
@staticmethod
def load_module(mod_name, package=PACKAGE):
try:
module = importlib.import_module(f".{mod_name}", package)
return module
except Exception as e:
raise LoadPluginError(mod_name, e)
@staticmethod
def load_func(module, func_name):
try:
func = getattr(module, func_name)
return func
except Exception as e:
raise LoadPluginError(module.__name__, e, func_name=func_name)
@staticmethod
def load_json(filename):
with open(filename, "r") as f:
data = json.load(f)
return data
def convert_file(self):
success_msg = f"'{self.input_file}' successfully converted to '{self.output_file}'"
input_type = self._get_file_type(self.input_file)
output_type = self._get_file_type(self.output_file)
# use custom plugin function if provided
if self.plugin:
mod_name, func_name = self._get_mod_names(self.plugin)
module = self.load_module(mod_name, package=self.package)
# use custom reader and writer if provided
if not func_name:
if not (self.read_func and self.write_func):
raise ValueError(
"Must provide both read and write functions."
)
result = self._custom_read_write_file(
module, self.read_func, self.write_func
)
print(success_msg)
return result
func = self.load_func(module, func_name)
# default to builtin conversion function
else:
func_name = f"{input_type}_to_{output_type}"
func = getattr(self, func_name, None)
if not func:
raise TypeError(
f"Conversion from {input_type} to {output_type} not supported"
)
result = func(self.input_file, self.output_file)
print(success_msg)
return result
# ----------------
# Helper Functions
# ----------------
def _get_file_type(self, filename):
return (Path(filename).suffix).replace(".", "")
def _get_mod_names(self, plugin_name):
plugin = plugin_name.split(".")
if len(plugin) == 1:
return (plugin[0], "")
elif len(plugin) == 2:
mod_name, func_name = plugin
return (mod_name, func_name)
else:
raise TypeError("Invalid plugin format provided")
def _custom_read_write_file(self, module, read_func, write_func):
reader = self.load_func(module, read_func)
writer = self.load_func(module, write_func)
data = reader(self.input_file)
result = writer(data, self.output_file)
return result
# --------------------
# Conversion Functions
# --------------------
def csv_to_html(self, input, output):
data = pandas.read_csv(input)
data.to_html(output)
return True
def csv_to_yaml(self, input, output):
data = pandas.read_csv(input).to_dict(orient="records")
with open(output, "w") as f:
yaml.dump(data, f, sort_keys=False)
return True
def json_to_html(self, input, output):
data = self.load_json(input)
result = json2html.convert(json=data)
with open(output, "w") as f:
f.write(result)
return True
def json_to_yaml(self, input, output):
data = self.load_json(input)
with open(output, "w") as f:
yaml.dump(data, f)
return True