-
Notifications
You must be signed in to change notification settings - Fork 0
/
irdb_stats.py
172 lines (137 loc) · 5.4 KB
/
irdb_stats.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
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
import sys
import subprocess
def install(package):
subprocess.check_call([sys.executable, "-m", "pip", "install", package])
try:
import requests
except ImportError:
install('requests')
import requests
import os
import json
import zipfile
import requests
from pathlib import Path
from urllib.parse import quote
from collections import Counter
# Get the directory where the script is located
SCRIPT_DIR = Path(__file__).parent.absolute()
# GitHub raw content base URL
GITHUB_RAW_BASE = "https://raw.githubusercontent.com/logickworkshop/Flipper-IRDB/main/"
def download_repo():
url = "https://github.com/logickworkshop/Flipper-IRDB/archive/refs/heads/main.zip"
zip_path = SCRIPT_DIR / "Flipper-IRDB.zip"
extract_path = SCRIPT_DIR / "Flipper-IRDB-main"
print(f"Downloading repository to {zip_path}...")
response = requests.get(url)
with open(zip_path, "wb") as f:
f.write(response.content)
print(f"Extracting to {extract_path}...")
with zipfile.ZipFile(zip_path, "r") as zip_ref:
zip_ref.extractall(SCRIPT_DIR)
os.remove(zip_path)
return extract_path
def parse_ir_file(file_path):
encodings = ['utf-8', 'latin-1', 'ascii', 'utf-16']
for encoding in encodings:
try:
with open(file_path, "r", encoding=encoding) as f:
content = f.read()
break
except UnicodeDecodeError:
continue
else:
print(f"Warning: Unable to decode file {file_path}. Skipping.")
return {}
metadata = {}
additional_info = []
for line in content.split("\n"):
if line.startswith("# "):
key, _, value = line[2:].partition(": ")
key = key.lower().strip()
value = value.strip()
if key and value:
metadata[key] = value
elif key:
additional_info.append(key)
if additional_info:
metadata["additional_info"] = ", ".join(additional_info)
return metadata
def extract_brand_model(filename):
# Remove the .ir extension
name = filename[:-3] if filename.endswith('.ir') else filename
# Split by underscore
parts = name.split('_')
if len(parts) >= 2:
brand = parts[0]
model = '_'.join(parts[1:]) # Join all parts after the first underscore
else:
brand = name
model = ""
return brand, model
def create_database(repo_dir):
database = []
for root, _, files in os.walk(repo_dir):
for file in files:
if file.endswith(".ir"):
file_path = Path(root) / file
relative_path = file_path.relative_to(repo_dir)
parts = relative_path.parts
device_type = parts[0] if len(parts) > 0 else ""
brand, model = extract_brand_model(file)
series = parts[2] if len(parts) > 2 else ""
metadata = parse_ir_file(file_path)
if metadata: # Only add to database if we successfully parsed the file
entry = {
"filename": file,
"device_type": device_type,
"brand": brand,
"model": model,
"series": series,
"path": str(relative_path),
**metadata
}
database.append(entry)
return database
def analyze_database(database):
device_types = Counter(entry['device_type'] for entry in database)
brands = Counter(entry['brand'] for entry in database)
models = Counter(entry['model'] for entry in database)
protocols = Counter(entry.get('protocol', 'Unknown') for entry in database)
return {
'total_entries': len(database),
'device_types': device_types,
'brands': brands,
'models': models,
'protocols': protocols
}
def print_statistics(stats):
print(f"\nTotal entries: {stats['total_entries']}")
print("\nTop 10 Device Types:")
for device_type, count in stats['device_types'].most_common(10):
print(f" {device_type}: {count}")
print("\nTop 10 Brands:")
for brand, count in stats['brands'].most_common(10):
print(f" {brand}: {count}")
print("\nTop 10 Models:")
for model, count in stats['models'].most_common(10):
print(f" {model}: {count}")
print("\nTop 10 Protocols:")
for protocol, count in stats['protocols'].most_common(10):
print(f" {protocol}: {count}")
def main():
print("Downloading and extracting Flipper-IRDB repository...")
repo_dir = download_repo()
print("Parsing IR files and creating database...")
database = create_database(repo_dir)
database_path = SCRIPT_DIR / "flipper_irdb_database.json"
print(f"Saving database to {database_path}...")
with open(database_path, "w", encoding="utf-8") as f:
json.dump(database, f, indent=2, ensure_ascii=False)
print(f"Database created with {len(database)} entries.")
print(f"Database saved as '{database_path}'")
print("\nAnalyzing database...")
stats = analyze_database(database)
print_statistics(stats)
if __name__ == "__main__":
main()