From 7e2f426ddd5f360cc646a15a65ba755ff03c179e Mon Sep 17 00:00:00 2001
From: Josh Flatt <josh.m.flatt@gmail.com>
Date: Wed, 10 Dec 2025 00:03:33 -0600
Subject: [PATCH] converted to py file

---
 download_stats.py | 45 +++++++++++++++++++++++++++++++++++++++++++++
 1 file changed, 45 insertions(+)
 create mode 100644 download_stats.py

diff --git a/download_stats.py b/download_stats.py
new file mode 100644
index 0000000..d1d24a4
--- /dev/null
+++ b/download_stats.py
@@ -0,0 +1,45 @@
+import subprocess
+from pathlib import Path
+import pandas as pd
+
+
+file_directory = Path("../downloads")
+files_to_check = [
+    p for p in file_directory.iterdir() 
+    if p.is_file() and p.suffix.lower() in [".jpg", ".mp4"]
+]
+
+file_df = pd.DataFrame(data=files_to_check, columns=["file"])
+
+def get_metadata(row: pd.Series) -> pd.Series:
+    
+    file_path = row["file"]
+    command = [
+        "exiftool",
+        "-T", 
+        "-createdate",
+        "-gpslatitude",
+        "-gpslongitude",
+        # *tags_to_check, 
+        str(file_path)
+    ]
+    result = subprocess.run(
+        command,
+        capture_output=True,
+        text=True,
+        check=False,
+       timeout=30
+    )
+    metadata = result.stdout.strip().split('\n')[0].split('\t')
+    
+    if len(metadata) < 3:
+        metadata = metadata + ['-'] * (3 - len(metadata))
+    row["createdate"] = metadata[0]
+    row["gpslatitude"] = metadata[1]
+    row["gpslongitude"] = metadata[2]
+    return row
+
+df = file_df.apply(get_metadata, axis=1)
+
+
+df.to_csv("../temp/filemetadata.csv", index=False, sep="#")