0.2.0b #1

Merged
Nyako merged 9 commits from dev into main 2026-06-06 12:34:50 +00:00
2 changed files with 114 additions and 13 deletions
Showing only changes of commit d1bc3fe836 - Show all commits
+2 -11
View File
@@ -34,15 +34,6 @@ log.init_global_exception_hook()
database = db.DB(True)
app = Flask(__name__)
def find_file(filename, file_folders):
for folder in file_folders:
folder_path = Path(folder)
if not folder_path.exists():
continue
for file_path in folder_path.rglob(filename):
return folder_path
return None
if not image_processor.check_ffmpeg(): print("WARNING!\n\nУ вас не установлен ffmpeg. Генерация превью для видео не доступна!")
@app.route("/")
@@ -63,7 +54,7 @@ def post(post_id):
@app.route('/file/<path:filename>')
def serve_image(filename):
folder_path = find_file(filename, FILE_FOLDERS)
folder_path = task.find_file(filename, FILE_FOLDERS)
if folder_path == None:
return make_response("Not found", 404)
else:
@@ -102,7 +93,7 @@ def api():
return jsonify(result_post)
elif data["type"] == "task":
if data["task"] == "analytic":
if tasks.calculate_analytic():
if tasks.calculate_analytic(database, CONFIG_ROOT):
return "", 200
else:
return "", 500
+112 -2
View File
@@ -1,2 +1,112 @@
def calculate_analytic():
pass
import os
from pathlib import Path
def find_file(filename, file_folders):
for folder in file_folders:
folder_path = Path(folder)
if not folder_path.exists():
continue
for file_path in folder_path.rglob(filename):
return folder_path
return None
def get_size_format(b, factor=1024, suffix="B"):
for unit in ["", "K", "M", "G", "T"]:
if b < factor:
return f"{b:.2f} {unit}{suffix}"
b /= factor
return f"{b:.2f} P{suffix}"
def get_dir_size(path):
total = 0
if os.path.exists(path):
for f in os.listdir(path):
fp = os.path.join(path, f)
if os.path.isfile(fp):
total += os.path.getsize(fp)
return total
def get_file_list_size(file_list: list[str]):
total = 0
for fp in file_list:
if os.path.isfile(fp):
total += os.path.getsize(fp)
return total
def calculate_analytic(database, config):
all_db = database.get_all()
explicit_db = database.get_search(["e"], [])
sensitive_db = database.get_search(["s"], [])
questionable_db = database.get_search(["q"], [])
general_db = database.get_search(["g"], [])
rating_list_file_path = {"explicit":[], "sensitive":[], "questionable":[], "general":[]}
for one_post in all_db:
file_path = find_file(one_post["local_filename"], config["file"]["repos"])
if file_path != None:
rating_list_file_path[one_post["rating"]].append(file_path)
ratings_stats = {
"explicit": {
"count": len(explicit_db),
"size_formatted": get_size_format(get_file_list_size(rating_list_file_path["explicit"]))
},
"sensitive": {
"count": len(sensitive_db),
"size_formatted": get_size_format(get_file_list_size(rating_list_file_path["sensitive"]))
},
"questionable": {
"count": len(questionable_db),
"size_formatted": get_size_format(get_file_list_size(rating_list_file_path["questionable"]))
},
"general": {
"count": len(general_db),
"size_formatted": get_size_format(get_file_list_size(rating_list_file_path["general"]))
}
},
result = {
"total_images_analyzed": len(all_db),
"average_weight": {
"bytes": round(avg_size_bytes, 2),
"formatted": get_size_format(avg_size_bytes)
},
"storage_stats": {
"folders": {
"img": get_size_format(size_img),
"json_db": get_size_format(size_json),
"thumb": get_size_format(size_thumb),
"logs": get_size_format(size_logs)
},
"types_in_img": {
"images": get_size_format(type_sizes["IMG"]),
"videos": get_size_format(type_sizes["VID"]),
"gifs": get_size_format(type_sizes["GIF"]),
"logs": get_size_format(type_sizes["LOGS"])
},
"grand_total": get_size_format(grand_total)
},
"ratings_stats": ratings_stats,
"resolution_stats": {
"largest": {
"filename": max_res["filename"],
"md5": max_res["md5"],
"resolution": f'{max_res["width"]}x{max_res["height"]}'
},
"smallest": {
"filename": min_res["filename"],
"md5": min_res["md5"] if min_res["area"] != float('inf') else "",
"resolution": f'{min_res["width"]}x{min_res["height"]}' if min_res["area"] != float('inf') else "N/A"
}
},
"weight_stats": {
"largest": {
"filename": max_weight["filename"],
"md5": max_weight["md5"],
"size_formatted": get_size_format(max_weight["size"])
},
"smallest": {
"filename": min_weight["filename"],
"md5": min_weight["md5"] if min_weight["size"] != float('inf') else "",
"size_formatted": get_size_format(min_weight["size"]) if min_weight["size"] != float('inf') else "N/A"
}
},
"tag_top":database.get_top_tag("")
}