Spaces:
Running
on
Zero
Running
on
Zero
Update file_utils.py
Browse files- file_utils.py +49 -0
file_utils.py
CHANGED
@@ -0,0 +1,49 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
import os
|
2 |
+
from magika import Magika
|
3 |
+
from transformers import pipeline
|
4 |
+
|
5 |
+
# Initialize the summarization pipeline
|
6 |
+
summarizer = pipeline("summarization")
|
7 |
+
|
8 |
+
SUPPORTED_FILE_TYPES = ["txt", "shell", "python", "markdown", "yaml", "json", "csv", "tsv", "xml", "html", "ini", "jsonl", "ipynb"]
|
9 |
+
|
10 |
+
def validate_file_types(directory):
|
11 |
+
m = Magika()
|
12 |
+
file_types = {}
|
13 |
+
for root, _, files in os.walk(directory):
|
14 |
+
if '.git' in root:
|
15 |
+
continue
|
16 |
+
for file_name in files:
|
17 |
+
file_path = os.path.join(root, file_name)
|
18 |
+
try:
|
19 |
+
with open(file_path, 'rb') as file:
|
20 |
+
file_bytes = file.read()
|
21 |
+
result = m.identify_bytes(file_bytes)
|
22 |
+
file_types[file_path] = result.output.ct_label
|
23 |
+
except Exception as e:
|
24 |
+
file_types[file_path] = f"Error: {str(e)}"
|
25 |
+
return file_types
|
26 |
+
|
27 |
+
def get_file_summary(file_path, file_type):
|
28 |
+
size = os.path.getsize(file_path)
|
29 |
+
return {
|
30 |
+
"name": os.path.relpath(file_path),
|
31 |
+
"type": file_type,
|
32 |
+
"size": size,
|
33 |
+
"creation_date": os.path.getctime(file_path),
|
34 |
+
"modification_date": os.path.getmtime(file_path)
|
35 |
+
}
|
36 |
+
|
37 |
+
def read_file_content(file_path, max_size=32*1024):
|
38 |
+
with open(file_path, "r", encoding="utf-8", errors="ignore") as file:
|
39 |
+
content = file.read()
|
40 |
+
if len(content) > max_size:
|
41 |
+
return content[:max_size] + "\n... [Content Truncated] ..."
|
42 |
+
else:
|
43 |
+
return content
|
44 |
+
|
45 |
+
def summarize_content(content):
|
46 |
+
max_chunk_size = 1000 # max input size for the summarization model
|
47 |
+
chunks = [content[i:i + max_chunk_size] for i in range(0, len(content), max_chunk_size)]
|
48 |
+
summaries = [summarizer(chunk)[0]['summary_text'] for chunk in chunks]
|
49 |
+
return " ".join(summaries)
|