pictures renamer and resizer

pyproject.toml

@@ -21,6 +21,7 @@ pandas = "^2.2.3"
 geopandas = "0.14.4"
 pandas-stubs = "2.2.2.240807"
 fiona = "^1.10.1"
+pillow = "^11.0.0"
 
 [tool.poetry.group.dev.dependencies]
 pytest = "^7.2.0"

qfieldcloud_fetcher/launcher.sh

@@ -34,3 +34,6 @@ run_script "db_updater"
 
 # Run directus link maker
 run_script "directus_link_maker"
+
+# Run pictures renamer
+run_script "pictures_renamer"

qfieldcloud_fetcher/pictures_renamer.py

@@ -0,0 +1,27 @@
+#!/usr/bin/env python3
+
+import os
+import re
+
+from dotenv import load_dotenv
+
+# Loads environment variables
+load_dotenv()
+
+# Access the environment variables
+in_jpg_path = os.getenv("IN_JPG_PATH")
+
+root_folder = str(in_jpg_path)
+
+for root, _dirs, files in os.walk(root_folder):
+    for filename in files:
+        # split the filename into base and extension
+        base, ext = os.path.splitext(filename)
+        # replace spaces with underscores in the base filename
+        base = base.replace(" ", "_")
+        # remove non-alphanumeric characters from base filename
+        base = re.sub(r"[^\w\s]", "", base)
+        # join the modified base filename and original extension
+        new_filename = base + ext
+        # rename file
+        os.rename(os.path.join(root, filename), os.path.join(root, new_filename))

qfieldcloud_fetcher/pictures_resizer.py

@@ -0,0 +1,35 @@
+#!/usr/bin/env python3
+
+import os
+
+from dotenv import load_dotenv
+from PIL import Image
+
+# Loads environment variables
+load_dotenv()
+
+# Access the environment variables
+in_jpg_path = str(os.getenv("IN_JPG_PATH"))
+
+
+def compress_image(filepath: str) -> None:
+    max_size = 5000000  # 5MB
+    img = Image.open(filepath)
+    if os.path.getsize(filepath) <= max_size:
+        print(f"{filepath} is already small enough.")
+        return
+    else:
+        print(f"Compressing {filepath}...")
+        img.save(filepath, optimize=True, quality=80)
+        while os.path.getsize(filepath) > max_size:
+            img.save(filepath, optimize=True, quality=img.info["quality"] - 5)
+        print(f"{filepath} compressed successfully.")
+
+
+input_folder = in_jpg_path
+
+for root, _dirs, files in os.walk(input_folder):
+    for filename in files:
+        if filename.endswith(".jpg"):
+            filepath = os.path.join(root, filename)
+            compress_image(filepath)