VMAF score in function

Sparks_in_Blender_encode.py

@@ -142,6 +142,39 @@ def encode_libaom(inputfile: str, outputfile: str, crf: str, preset: str):
     return ff
 
 
+def score_vmaf(outputfile: str, inputfile: str) -> dict[str, float]:
+    """
+    Calculate a file's VMAF score
+
+    Parameters:
+    outputfile (str): Path to output file
+    inputfile (str): Path to input file
+
+    Return:
+    dict[str, float]: VMAF mean and min value
+    """
+    ff = ffmpy.FFmpeg(
+        inputs=OrderedDict([(outputfile, None), (inputfile, None)]),
+        outputs={
+            "-": "-filter_complex libvmaf=log_fmt=json:n_threads={cputhreads}:log_path=vmaf.json -f null".format(
+                cputhreads=cpu_count()
+            )
+        },
+    )
+
+    ff.run()
+
+    with open("vmaf.json", "r") as file:
+        vmafall = json.load(file)
+
+    vmaf: dict[str, float] = {
+        "mean": vmafall["pooled_metrics"]["vmaf"]["mean"],
+        "min": vmafall["pooled_metrics"]["vmaf"]["min"],
+    }
+
+    return vmaf
+
+
 if __name__ == "__main__":
     if not os.path.isdir("encoded"):
         os.mkdir("encoded")
@@ -198,6 +231,7 @@ if __name__ == "__main__":
                         preset=preset,
                     )
 
+                # execute previously defined encoding settings
                 starttime = now()
                 ff.run()
                 endtime = now()
@@ -205,21 +239,7 @@ if __name__ == "__main__":
 
                 outputfilesize = os.path.getsize(outputfile) / 1024 / 1024
 
-                ff = ffmpy.FFmpeg(
-                    inputs=OrderedDict(
-                        [(outputfile, None), ("Sparks_in_Blender.webm", None)]
-                    ),
-                    outputs={
-                        "-": "-filter_complex libvmaf=log_fmt=json:n_threads={cputhreads}:log_path=vmaf.json -f null".format(
-                            cputhreads=cpu_count()
-                        )
-                    },
-                )
-
-                ff.run()
-
-                with open("vmaf.json", "r") as file:
-                    vmaf = json.load(file)
+                vmaf = score_vmaf(outputfile=outputfile, inputfile=inputfile)
 
                 write_line(
                     codec=codec,
@@ -228,8 +248,8 @@ if __name__ == "__main__":
                     infile="Sparks_in_Blender.webm",
                     outfilesize=outputfilesize,
                     enctime=difftime,
-                    vmafmean=vmaf["pooled_metrics"]["vmaf"]["mean"],
-                    vmafmin=vmaf["pooled_metrics"]["vmaf"]["min"],
+                    vmafmean=vmaf["mean"],
+                    vmafmin=vmaf["min"],
                 )
 
                 os.remove(outputfile)