0.2.0b #1
@@ -3,8 +3,10 @@
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.vscode
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old/
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data_test/
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tmp/
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config_gb.json
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migration.py
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change_log.txt
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# Byte-compiled / optimized / DLL files
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__pycache__/
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@@ -1,64 +0,0 @@
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{
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"total_images_analyzed": 14003,
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"average_weight": {
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"bytes": 2980950.54,
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"formatted": "2.84 MB"
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},
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"storage_stats": {
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"folders": {
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"img": "38.88 GB",
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"json_db": "24.39 MB",
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"thumb": "331.45 MB",
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"logs": "14.44 MB"
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},
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"types_in_img": {
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"images": "38.56 GB",
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"videos": "140.80 MB",
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"gifs": "181.30 MB",
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"logs": "14.44 MB"
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},
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"grand_total": "39.24 GB"
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},
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"ratings_stats": {
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"explicit": {
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"count": 1605,
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"size_formatted": "4.52 GB"
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},
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"sensitive": {
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"count": 6623,
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"size_formatted": "19.35 GB"
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},
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"questionable": {
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"count": 1591,
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"size_formatted": "4.72 GB"
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},
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"general": {
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"count": 4184,
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"size_formatted": "10.29 GB"
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}
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},
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"resolution_stats": {
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"largest": {
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"filename": "5adc7e0e773417f9c379accf.png",
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"md5": "5a63c28906dc7e0e7734c379accf",
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"resolution": "9921x14031"
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},
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"smallest": {
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"filename": "8fc614e712ad21d2151ccde8a3c87.gif",
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"md5": "8fc614e712ae22151ccde8a3c87",
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"resolution": "240x280"
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}
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},
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"weight_stats": {
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"largest": {
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"filename": "4cf0a32c61c7e7914095d1fe.png",
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"md5": "4ab6acf0a32c61c7e79fe",
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"size_formatted": "65.21 MB"
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},
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"smallest": {
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"filename": "2e1c8a5870b90c3f538d7.png",
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"md5": "28c679ea3470b90c3f538d7",
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"size_formatted": "6.49 KB"
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}
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}
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}
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@@ -1,11 +1,14 @@
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from system_module import db, gelbooru, logger, image_processor
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from flask import Flask, render_template, jsonify, send_from_directory, render_template_string, request
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import json
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import requests
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from pathlib import Path
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import os
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import subprocess
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import traceback
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import os
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from pathlib import Path
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import requests
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from flask import (Flask, jsonify, render_template, render_template_string,
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request, send_from_directory)
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from system_module import db, gelbooru, image_processor, logger
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if Path("config_gb.json").exists():
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CONFIG_FILE = "config_gb.json"
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@@ -119,7 +122,7 @@ def api():
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return jsonify(results_send)
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elif data["type"] == "autocomplete":
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tag_slise = data["q"]
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result_autocomplete = database.get_autocomplete(tag_slise)
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result_autocomplete = database.get_top_tag(tag_slise, count_tag_get=10)
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return jsonify(result_autocomplete)
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elif data["type"] == "post":
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post_id = data["post_id"]
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+9
-7
@@ -1,8 +1,10 @@
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import sqlite3
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import os
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import json
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import os
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import sqlite3
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from datetime import datetime
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from system_module import gelbooru
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from system_module.gelbooru import gelbooru_date_parse
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class DB:
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def __init__(self, debug: bool):
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@@ -117,7 +119,7 @@ class DB:
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"score": data_add["score"],
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"timestamp": data_add["created_at"],
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"parsed_time": parsed_time,
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"display_date": gelbooru.gelbooru_date_parse(data_add["created_at"]),
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"display_date": gelbooru_date_parse(data_add["created_at"]),
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"source": data_add["source"],
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"width": data_add["width"],
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"height": data_add["height"]
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@@ -165,15 +167,15 @@ class DB:
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cursor = self.conn.execute(query, (md5,))
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return cursor.fetchone() is not None
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def get_autocomplete(self, tag_slise: str):
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def get_top_tag(self, tag_slise: str, count_tag_get: int = 9999999):
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query = """
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SELECT value AS tag, COUNT(*) AS count
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FROM files, json_each(files.tags)
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WHERE value LIKE ?
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GROUP BY value
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ORDER BY count DESC
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LIMIT 10
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"""
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LIMIT {count_tag_get}
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""".format(count_tag_get=count_tag_get)
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cursor = self.conn.execute(query, (f"{tag_slise.lower()}%",))
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return [{"tag": row["tag"], "count": row["count"]} for row in cursor.fetchall()]
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@@ -1,8 +1,10 @@
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import requests
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from datetime import datetime
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import os
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from datetime import datetime
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def gelbooru_date_parse(date_str):
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import requests
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def gelbooru_date_parse(date_str: str):
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if not date_str:
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return 0, "Unknown"
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try:
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@@ -13,14 +15,14 @@ def gelbooru_date_parse(date_str):
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return 0, "Unknown"
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class GB:
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def __init__(self, api_id, api_hash, headers, dw_folder):
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def __init__(self, api_id: str, api_hash: str, headers: dict[str, str], dw_folder: str):
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self.api_id = api_id
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self.api_hash = api_hash
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self.dw_folder = dw_folder
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self.root_url = "https://gelbooru.com/index.php"
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self.HEADERS = headers
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def get_from_id(self, id_post):
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def get_from_id(self, id_post: int):
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params = {"page": "dapi", "s": "post", "q": "index", "json": 1, "id": id_post, "api_key":self.api_hash, "user_id":self.api_id}
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response = requests.get(self.root_url, params=params, headers=self.HEADERS, timeout=15)
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print(response.url)
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@@ -28,13 +30,10 @@ class GB:
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file_name = response.json()["post"][0]["image"]
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return response.json()["post"][0], url_file, file_name
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def get_from_md5(self, md5):
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def get_from_md5(self, md5: str):
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params = {"page": "dapi", "s": "post", "q": "index", "json": 1, "tags":"md5:"+md5, "api_key":self.api_hash, "user_id":self.api_id}
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response = requests.get(self.root_url, params=params, headers=self.HEADERS, timeout=15)
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print(response.url)
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url_file = response.json()["post"][0]["file_url"]
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file_name = response.json()["post"][0]["image"]
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return response.json()["post"][0], url_file, file_name
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def get_binary_file(self, id_post):
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pass
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return response.json()["post"][0], url_file, file_name
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@@ -1,6 +1,7 @@
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import subprocess
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from PIL import Image
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import os
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import subprocess
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from PIL import Image
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EXTENSIONS_IMG = ('jpg', 'jpeg', 'png', 'gif', 'webp', 'bmp')
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EXTENSIONS_VID = ('mp4', 'webm')
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@@ -15,7 +16,7 @@ def check_ffmpeg():
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except (FileNotFoundError, subprocess.CalledProcessError):
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return False
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def video_gen(input_path_file, output_path_file, TARGET_MIN_SIZE):
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def video_gen(input_path_file: str, output_path_file: str, TARGET_MIN_SIZE: int):
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vf_scale = f"scale='if(gt(iw,ih),-1,{TARGET_MIN_SIZE})':'if(gt(iw,ih),{TARGET_MIN_SIZE},-1)'"
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cmd = ["ffmpeg", "-y", "-i", input_path_file, "-ss", "00:00:00", "-vframes", "1", "-vf", vf_scale, "-q:v", "2", output_path_file]
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if os.name == 'nt': creationflags = subprocess.CREATE_NO_WINDOW
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@@ -24,7 +25,7 @@ def video_gen(input_path_file, output_path_file, TARGET_MIN_SIZE):
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if result.returncode != 0:
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raise Exception(f"FFmpeg error: {result.stderr.decode('utf-8', errors='ignore')}")
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def image_and_gif_gen(input_path_file, output_path_file, TARGET_MIN_SIZE):
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def image_and_gif_gen(input_path_file: str, output_path_file: str, TARGET_MIN_SIZE: int):
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with Image.open(input_path_file) as img:
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img_rgba = img.convert("RGBA")
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background = Image.new("RGB", img_rgba.size, (255, 255, 255))
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@@ -43,7 +44,7 @@ def image_and_gif_gen(input_path_file, output_path_file, TARGET_MIN_SIZE):
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resized_img = final_img.resize((new_width, new_height), Image.Resampling.LANCZOS)
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resized_img.save(output_path_file, "JPEG", quality=85)
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def generate_thumb(input_path_file, THUMB_FOLDER, TARGET_MIN_SIZE):
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def generate_thumb(input_path_file: str, THUMB_FOLDER: str, TARGET_MIN_SIZE: int):
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ext_file = input_path_file.split(".")[-1]
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if ext_file not in VALID_EXTENSIONS:
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return {"status":False, "message":"Расширение не поддерживаеться!"}
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@@ -18,7 +18,7 @@ class Logger:
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self.logger_cli.setLevel(logging.INFO)
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self.logger_cli.addHandler(console_handler)
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def send(self, level_log, type_log, message):
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def send(self, level_log: str, type_log: str, message: str):
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if type_log == "file":
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getattr(self.logger_file, level_log)(message)
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elif type_log == "cli":
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Reference in New Issue
Block a user