File size: 6,974 Bytes
8e29341 | 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 | #file utils.py
import os
from modules import app_constants, app_to_vectorstore,app_page_definitions,common_utils
from modules import app_logger
import json
import requests
import hashlib
import re, csv
# Use the logger from app_config
app_logger = app_logger.app_logger
work_dir = app_constants.WORKSPACE_DIRECTORY
system_content_file = metadata_path=app_constants.SYSTEM_CONTENT_DATA
def download_file(url):
try:
response = requests.get(url)
response.raise_for_status()
sanitized_filename = sanitize_filename(url.split('/')[-1])
sanitized_local_path = os.path.join(app_constants.WORKSPACE_DIRECTORY+"/docs/", sanitized_filename)
with open(sanitized_local_path, 'wb') as f:
f.write(response.content)
app_logger.info(f"File downloaded successfully: {sanitized_local_path}")
return True
except Exception as e:
app_logger.error(f"Failed to download file from {url}. Error: {e}")
return False
def index_file(local_path, module):
try:
status = app_to_vectorstore.get_chroma_index(local_path,module,True)
app_logger.info(f"File indexed successfully: {local_path}")
except Exception as e:
app_logger.error(f"Failed to index file. Error: {e}")
db.persist()
db = None
return status
def compute_md5(file_path):
hash_md5 = hashlib.md5()
try:
with open(file_path, "rb") as f:
for chunk in iter(lambda: f.read(4096), b""):
hash_md5.update(chunk)
return hash_md5.hexdigest()
except Exception as e:
app_logger.error(f"Error computing MD5 for {file_path}: {e}")
return None
def sanitize_filename(filename):
"""Sanitize the filename by removing or replacing invalid characters and handling URLs."""
# Extract filename from URL or file path
filename = os.path.basename(filename)
# Make the filename lowercase and replace spaces with underscores
sanitized = filename.lower().replace(' ', '_')
# Replace invalid characters with underscores
sanitized = re.sub(r'[^\w\-_\.]', '_', sanitized)
# Shorten the filename if it's too long
max_length = 255 # Max length can be adjusted
if len(sanitized) > max_length:
# Keep the file extension if present
file_parts = os.path.splitext(sanitized)
ext = file_parts[1]
sanitized = sanitized[:max_length - len(ext)] + ext
return sanitized
def delete_files(work_dir=work_dir):
for root, dirs, files in os.walk(work_dir, topdown=False):
for name in files:
file_path = os.path.join(root, name)
try:
os.unlink(file_path)
app_logger.info(f"Deleted file: {file_path}")
except Exception as e:
app_logger.error(f"Failed to delete {file_path}. Reason: {e}")
for name in dirs:
dir_path = os.path.join(root, name)
try:
os.rmdir(dir_path)
app_logger.info(f"Deleted directory: {dir_path}")
except Exception as e:
app_logger.error(f"Failed to delete {dir_path}. Reason: {e}")
remove_local_uploads()
def save_uploaded_file(uploaded_file, uploads_path, sanitized_filename=None):
if sanitized_filename is None:
sanitized_filename = sanitize_filename(uploaded_file.name)
file_path = os.path.join(uploads_path, sanitized_filename)
with open(file_path, "wb") as f:
f.write(uploaded_file.getbuffer())
app_logger.info(f"File '{sanitized_filename}' uploaded to {uploads_path}")
return file_path
def perform_file_operation(resource, operation):
url = resource.get("url", "")
content_type = resource.get("content_type", "")
file_name = work_dir+"docs/" +sanitize_filename(url)
if operation == "download":
#print(file_name)
if url:
download_success = download_file(url)
if download_success:
app_logger.info(f"File {resource['name']} downloaded successfully.")
else:
app_logger.error(f"Failed to download file {resource['name']}.")
elif operation == "learn":
module = common_utils.get_content_mapping_to_module(content_type)
# Handle 'learn' operation here if needed
index_file(file_name, module)
else:
app_logger.error(f"Unknown operation: {operation}")
def get_indexed_files_for_page(page_id):
try:
filtered_files = []
# Open and read the CSV file
with open(os.path.join(work_dir, app_constants.PROCESSED_DOCS), mode='r', newline='', encoding='utf-8') as file:
csv_reader = csv.reader(file)
for row in csv_reader:
# Check if the second item in the row matches the page_id
if len(row) > 2 and row[1].lower() == page_id.lower():
# Extract just the file name from the full path (third item in the row)
file_name = os.path.basename(row[2])
filtered_files.append(file_name)
return filtered_files
except Exception as e:
return []
def update_json_file(data, file_path):
with open(file_path, "w") as file:
json.dump(data, file, indent=4)
def load_json_data(file_path):
with open(file_path, "r") as file:
return json.load(file)
def handle_content_update(uploaded_file=None, manual_name="", manual_url="", selected_content_type=""):
system_content_file = app_constants.SYSTEM_CONTENT_DATA # Define before use
uploads_directory = os.path.join(work_dir, "docs") # Define before use
file_data = load_json_data(system_content_file)
if uploaded_file:
filename = sanitize_filename(uploaded_file.name if uploaded_file else manual_name)
file_path = save_file(uploaded_file, filename, uploads_directory)
else:
filename = sanitize_filename(manual_url)
file_path = save_file(uploaded_file, filename, uploads_directory) if uploaded_file else manual_url
new_entry = {"name": filename, "url": file_path, "content_type": selected_content_type}
file_data.append(new_entry)
update_json_file(file_data, system_content_file)
def save_file(uploaded_file, filename, directory):
if not os.path.exists(directory):
os.makedirs(directory)
file_path = os.path.join(directory, filename)
with open(file_path, "wb") as file:
file.write(uploaded_file.getbuffer())
return file_path
def remove_local_uploads(file_path=app_constants.SYSTEM_CONTENT_DATA):
# Read the JSON data from the file
with open(file_path, 'r') as file:
data = json.load(file)
# Filter out entries where the 'url' points to a local file
filtered_data = [entry for entry in data if not entry['url'].startswith('./')]
# Write the filtered data back to the file
with open(file_path, 'w') as file:
json.dump(filtered_data, file, indent=4) |