0.1.8s
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+2
-1
@@ -16,6 +16,7 @@
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"file":{
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"repos":["data/files"],
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"dw":"data/files",
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"thumb":"data/thumb"
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"thumb":"data/thumb",
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"data":"data"
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}
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}
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+59
-26
@@ -1,4 +1,5 @@
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import os
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import json
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from pathlib import Path
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def find_file(filename, file_folders):
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@@ -17,7 +18,7 @@ def get_size_format(b, factor=1024, suffix="B"):
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b /= factor
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return f"{b:.2f} P{suffix}"
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def get_dir_size(path):
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def get_dir_size(path: str):
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total = 0
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if os.path.exists(path):
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for f in os.listdir(path):
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@@ -33,6 +34,12 @@ def get_file_list_size(file_list: list[str]):
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total += os.path.getsize(fp)
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return total
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def get_size_edge(type_searсh: bool, file_list: list[str]):
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if type_searсh:
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return min(file_list, key=os.path.getsize)
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else:
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return max(file_list, key=os.path.getsize)
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def calculate_analytic(database, config):
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all_db = database.get_all()
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explicit_db = database.get_search(["e"], [])
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@@ -40,48 +47,72 @@ def calculate_analytic(database, config):
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questionable_db = database.get_search(["q"], [])
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general_db = database.get_search(["g"], [])
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rating_list_file_path = {"explicit":[], "sensitive":[], "questionable":[], "general":[]}
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type_list_file_path = {"images":[], "videos":[], "gifs":[]}
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files_not_found = 0
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for one_post in all_db:
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file_path = find_file(one_post["local_filename"], config["file"]["repos"])
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if file_path != None:
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rating_list_file_path[one_post["rating"]].append(file_path)
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if one_post["is_gif"] == 1:
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type_list_file_path["gifs"].append(file_path)
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elif one_post["is_video"] == 1:
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type_list_file_path["videos"].append(file_path)
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else:
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type_list_file_path["images"].append(file_path)
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else:
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files_not_found += 1
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file_size_dict = {"explicit":get_file_list_size(rating_list_file_path["explicit"]),
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"sensitive":get_file_list_size(rating_list_file_path["sensitive"]),
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"questionable":get_file_list_size(rating_list_file_path["questionable"]),
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"general":get_file_list_size(rating_list_file_path["general"])
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}
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type_size_dict = {"images":get_file_list_size(type_list_file_path["images"]),
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"videos":get_file_list_size(type_list_file_path["videos"]),
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"gifs":get_file_list_size(type_list_file_path["gifs"])}
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ratings_stats = {
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"explicit": {
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"count": len(explicit_db),
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"size_formatted": get_size_format(get_file_list_size(rating_list_file_path["explicit"]))
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"size_formatted": get_size_format(file_size_dict["explicit"])
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},
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"sensitive": {
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"count": len(sensitive_db),
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"size_formatted": get_size_format(get_file_list_size(rating_list_file_path["sensitive"]))
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"size_formatted": get_size_format(file_size_dict["sensitive"])
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},
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"questionable": {
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"count": len(questionable_db),
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"size_formatted": get_size_format(get_file_list_size(rating_list_file_path["questionable"]))
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"size_formatted": get_size_format(file_size_dict["questionable"])
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},
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"general": {
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"count": len(general_db),
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"size_formatted": get_size_format(get_file_list_size(rating_list_file_path["general"]))
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"size_formatted": get_size_format(file_size_dict["general"])
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}
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},
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}
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total_file_data_size = file_size_dict["general"]+file_size_dict["questionable"]+file_size_dict["sensitive"]+file_size_dict["explicit"]
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total_thumb_size = get_dir_size(config[["file"]["thumb"]])
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total_log_size = get_file_list_size(["logs.log"])
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total_db_size = get_file_list_size([os.path.join("data", "db.sqlite")])
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weight_stats_smallest = get_size_edge(True, type_list_file_path["gifs"]+type_list_file_path["images"]+type_list_file_path["videos"])
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weight_stats_largest = get_size_edge(False, type_list_file_path["gifs"]+type_list_file_path["images"]+type_list_file_path["videos"])
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result = {
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"total_images_analyzed": len(all_db),
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"files_not_found":files_not_found,
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"average_weight": {
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"bytes": round(avg_size_bytes, 2),
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"formatted": get_size_format(avg_size_bytes)
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"bytes": round(total_file_data_size/(len(rating_list_file_path["explicit"])+len(rating_list_file_path["sensitive"])+len(rating_list_file_path["questionable"])+len(rating_list_file_path["general"])), 2),
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"formatted": get_size_format(round(total_file_data_size/(len(rating_list_file_path["explicit"])+len(rating_list_file_path["sensitive"])+len(rating_list_file_path["questionable"])+len(rating_list_file_path["general"])), 2))
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},
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"storage_stats": {
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"folders": {
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"img": get_size_format(size_img),
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"json_db": get_size_format(size_json),
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"thumb": get_size_format(size_thumb),
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"logs": get_size_format(size_logs)
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"data": get_size_format(total_file_data_size),
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"db": get_size_format(total_db_size),
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"thumb": get_size_format(total_thumb_size),
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"logs": get_size_format(total_log_size)
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},
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"types_in_img": {
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"images": get_size_format(type_sizes["IMG"]),
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"videos": get_size_format(type_sizes["VID"]),
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"gifs": get_size_format(type_sizes["GIF"]),
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"logs": get_size_format(type_sizes["LOGS"])
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"types": {
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"images": get_size_format(type_size_dict["images"]),
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"videos": get_size_format(type_size_dict["videos"]),
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"gifs": get_size_format(type_size_dict["gifs"])
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},
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"grand_total": get_size_format(grand_total)
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"grand_total": get_size_format(total_file_data_size+total_thumb_size+total_log_size+total_db_size)
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},
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"ratings_stats": ratings_stats,
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"resolution_stats": {
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@@ -92,21 +123,23 @@ def calculate_analytic(database, config):
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},
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"smallest": {
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"filename": min_res["filename"],
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"md5": min_res["md5"] if min_res["area"] != float('inf') else "",
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"resolution": f'{min_res["width"]}x{min_res["height"]}' if min_res["area"] != float('inf') else "N/A"
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"md5": min_res["md5"],
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"resolution": f'{min_res["width"]}x{min_res["height"]}'
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}
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},
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"weight_stats": {
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"largest": {
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"filename": max_weight["filename"],
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"filename": weight_stats_largest,
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"md5": max_weight["md5"],
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"size_formatted": get_size_format(max_weight["size"])
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},
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"smallest": {
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"filename": min_weight["filename"],
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"md5": min_weight["md5"] if min_weight["size"] != float('inf') else "",
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"size_formatted": get_size_format(min_weight["size"]) if min_weight["size"] != float('inf') else "N/A"
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"filename": weight_stats_smallest,
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"md5": min_weight["md5"],
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"size_formatted": get_size_format(min_weight["size"])
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}
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},
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"tag_top":database.get_top_tag("")
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}
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"top_tag":database.get_top_tag("")
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}
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with open(os.path.join(config["file"]["data"], "analytic.json"), 'w', encoding='utf-8') as out_f:
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json.dump(result, out_f, indent=4, ensure_ascii=False)
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