lint(api): replace deprecated warn method when logging

api/onnx_web/chain/correct_gfpgan.py

@@ -66,7 +66,7 @@ class CorrectGFPGANStage(BaseStage):
         upscale = upscale.with_args(**kwargs)
 
         if upscale.correction_model is None:
-            logger.warn("no face model given, skipping")
+            logger.warning("no face model given, skipping")
             return sources
 
         logger.info("correcting faces with GFPGAN model: %s", upscale.correction_model)

api/onnx_web/chain/source_noise.py

@@ -28,7 +28,7 @@ class SourceNoiseStage(BaseStage):
         logger.info("generating image from noise source")
 
         if len(sources) > 0:
-            logger.warn(
+            logger.warning(
                 "source images were passed to a noise stage and will be discarded"
             )
 

api/onnx_web/chain/source_txt2img.py

@@ -45,7 +45,7 @@ class SourceTxt2ImgStage(BaseStage):
         )
 
         if "stage_source" in kwargs:
-            logger.warn(
+            logger.warning(
                 "a source image was passed to a txt2img stage, and will be discarded"
             )
 

api/onnx_web/chain/source_url.py

@@ -29,7 +29,7 @@ class SourceURLStage(BaseStage):
         logger.info("loading image from URL source")
 
         if len(sources) > 0:
-            logger.warn(
+            logger.warning(
                 "a source image was passed to a source stage, and will be discarded"
             )
 

api/onnx_web/chain/tile.py

@@ -353,7 +353,7 @@ def process_tile_order(
         logger.debug("using spiral tile order with tile size: %s", tile)
         return process_tile_spiral(source, tile, scale, filters, **kwargs)
     else:
-        logger.warn("unknown tile order: %s", order)
+        logger.warning("unknown tile order: %s", order)
         raise ValueError()
 
 

api/onnx_web/chain/upscale.py

@@ -92,7 +92,7 @@ def stage_upscale_correction(
             )
             upscale_stage = (UpscaleSwinIRStage(), swinir_params, upscale_opts)
         else:
-            logger.warn("unknown upscaling model: %s", upscale.upscale_model)
+            logger.warning("unknown upscaling model: %s", upscale.upscale_model)
 
     correct_stage: Optional[PipelineStage] = None
     if upscale.faces:
@@ -100,13 +100,13 @@ def stage_upscale_correction(
             tile_size=stage.tile_size, outscale=upscale.face_outscale
         )
         if upscale.correction_model is None:
-            logger.warn("no correction model set, skipping")
+            logger.warning("no correction model set, skipping")
         elif "codeformer" in upscale.correction_model:
             correct_stage = (CorrectCodeformerStage(), face_params, upscale_opts)
         elif "gfpgan" in upscale.correction_model:
             correct_stage = (CorrectGFPGANStage(), face_params, upscale_opts)
         else:
-            logger.warn("unknown correction model: %s", upscale.correction_model)
+            logger.warning("unknown correction model: %s", upscale.correction_model)
 
     if upscale.upscale_order == "correction-both":
         chain.append(correct_stage)
@@ -119,7 +119,7 @@ def stage_upscale_correction(
         chain.append(upscale_stage)
         chain.append(correct_stage)
     else:
-        logger.warn("unknown upscaling order: %s", upscale.upscale_order)
+        logger.warning("unknown upscaling order: %s", upscale.upscale_order)
 
     if post_stages is not None:
         for post_stage in post_stages:

api/onnx_web/chain/upscale_bsrgan.py

@@ -63,7 +63,7 @@ class UpscaleBSRGANStage(BaseStage):
         upscale = upscale.with_args(**kwargs)
 
         if upscale.upscale_model is None:
-            logger.warn("no upscaling model given, skipping")
+            logger.warning("no upscaling model given, skipping")
             return sources
 
         logger.info("upscaling with BSRGAN model: %s", upscale.upscale_model)

api/onnx_web/chain/upscale_swinir.py

@@ -63,7 +63,7 @@ class UpscaleSwinIRStage(BaseStage):
         upscale = upscale.with_args(**kwargs)
 
         if upscale.upscale_model is None:
-            logger.warn("no correction model given, skipping")
+            logger.warning("no correction model given, skipping")
             return sources
 
         logger.info("correcting faces with SwinIR model: %s", upscale.upscale_model)

api/onnx_web/output.py

@@ -47,7 +47,7 @@ def hash_value(sha, param: Optional[Param]):
     elif isinstance(param, str):
         sha.update(param.encode("utf-8"))
     else:
-        logger.warn("cannot hash param: %s, %s", param, type(param))
+        logger.warning("cannot hash param: %s, %s", param, type(param))
 
 
 def json_params(

api/onnx_web/utils.py

@@ -53,7 +53,7 @@ def get_from_list(
     if selected in values:
         return selected
 
-    logger.warn("invalid selection %s, options: %s", selected, values)
+    logger.warning("invalid selection %s, options: %s", selected, values)
     if len(values) > 0:
         return values[0]