.gitignore

@@ -8,6 +8,4 @@ data
 dist
 docs
 
-*.log
-*.err*
-*.swp
+*.log

src/__main__.py

@@ -126,7 +126,6 @@ def main():
     logging.info(
         f"total optimization ({optimized}/{len(result.orig)}): {percent:.2f}% -> {size:.2f} Mb"  # noqa
     )
-    result.check_errors()
 
 
 if __name__ == "__main__":

src/optimizer.py

@@ -4,7 +4,7 @@ import signal
 import subprocess
 import time
 from concurrent.futures import ProcessPoolExecutor, as_completed
-from dataclasses import dataclass, field
+from dataclasses import dataclass
 from typing import Optional
 
 from tqdm import tqdm
@@ -15,9 +15,7 @@ __all__ = ["ImgOptimizer", "OptimizerResult"]
 
 
 # TODO(rmanach): add argument to set the size or leave it empty for loseless optim
-def _jpeg_optim(
-    dest_dir: str, file: File
-) -> tuple["File", Optional["File"], str | None]:
+def _jpeg_optim(dest_dir: str, file: File) -> tuple["File", Optional["File"]] | None:
     """
     Optimize the `file` with `jpegoptim` and put the result in
     `dest_dir` directory keeping file path.
@@ -37,26 +35,22 @@ def _jpeg_optim(
     try:
         _ = subprocess.run(cmd, shell=True, check=True)
     except subprocess.CalledProcessError as e:
-        logging.debug("error while running command: %s, err: %s", cmd, e.stderr or "?")
-        return file, None, f"command: {cmd} failed, err: {e.stderr}"
+        logging.error("error while running command: %s, err: %s", cmd, e.stderr or "?")
+        return None
     except Exception:
-        logging.debug("unexpected error while running command: %s", cmd, exc_info=True)
-        return (
-            file,
-            None,
-            f"command: {cmd} failed unexpectedly, set debug mode for more details",
-        )
+        logging.error("unexpected error while running command: %s", cmd, exc_info=True)
+        return None
 
     try:
         file_optim = File.from_directory(dest_dir, file.name)
     except Exception as e:
         logging.debug("unable to get file: %s after optimization: %s", file, e)
-        return file, None, None
+        return file, None
 
-    return file, file_optim, None
+    return file, file_optim
 
 
-def _optim(dest_dir: str, file: File) -> tuple["File", Optional["File"], str | None]:
+def _optim(dest_dir: str, file: File) -> tuple["File", Optional["File"]] | None:
     """
     Entry point of `file` optimization selection the handler.
     NOTE: Must be launched in separated process.
@@ -65,27 +59,7 @@ def _optim(dest_dir: str, file: File) -> tuple["File", Optional["File"], str | N
     signal.signal(signal.SIGINT, signal.SIG_IGN)
     if file.mimetype == FileImgMimetype.JPEG.value:
         return _jpeg_optim(dest_dir, file)
-    return file, None, f"mimetype: {file.mimetype} not supported for optimization"
-
-
-@dataclass(slots=True, frozen=True)
-class OptimizerErrors:
-    _data: dict[str, str] = field(default_factory=dict)
-
-    def save(self):
-        if not len(self._data):
-            return
-
-        with open("optimg.err.csv", "w") as f:
-            f.write("filepath;err\n")
-            for filepath, error in self._data.items():
-                f.write(f"{filepath};{error}\n")
-
-    def has_errors(self) -> bool:
-        return len(self._data) > 0
-
-    def add(self, filepath: str, error: str):
-        self._data[filepath] = error
+    return None
 
 
 @dataclass(slots=True, frozen=True)
@@ -99,7 +73,6 @@ class OptimizerResult:
     orig: FileGroup
     opti: FileGroup
     optimized: int
-    err: OptimizerErrors
 
     def stats(self) -> tuple[int, float, float]:
         """
@@ -112,13 +85,6 @@ class OptimizerResult:
         size = self.orig._size - self.opti._size
         return (self.optimized, percent, size)
 
-    def check_errors(self):
-        if self.err.has_errors():
-            logging.error(
-                "some errors detected during optimization, check 'optimg.err.csv' for details"  # noqa
-            )
-            self.err.save()
-
 
 @dataclass(slots=True, frozen=True)
 class ImgOptimizer:
@@ -128,8 +94,8 @@ class ImgOptimizer:
 
     Example:
     ```python
-        optimizer = ImgOptimizer()
-        res = optimizer.optimize(file_group)
+        optimizer = ImgOptimizer("mypath")
+        optimizer.optimize()
     ```
     """
 
@@ -168,24 +134,20 @@ class ImgOptimizer:
 
             file_group_optim = FileGroup()
             optimized = 0
-            errors = OptimizerErrors()
             for f in tqdm(
                 as_completed(futures), total=len(futures), desc="Optimizing..."
             ):
-                match f.result():
-                    case (orig, None, err):
-                        logging.debug(f"optim error for file: {orig}, err: {err}")
-                        file_group_optim.add(orig)
-                        errors.add(orig.path, err)
-                    case (orig, None, None):
-                        logging.debug(f"no optimization for file: {orig}")
-                        file_group_optim.add(orig)
-                    case (orig, opti, None):
-                        optimized += 1
-                        logging.debug(
-                            f"optimization for file: {orig} -> {(1 - (opti.size / orig.size)) * 100:.2f}%"  # noqa
-                        )
-                        file_group_optim.add(opti)
+                if (res := f.result()) and res is not None:
+                    match res:
+                        case (orig, None):
+                            logging.debug(f"no optimization for file: {orig}")
+                            file_group_optim.add(orig)
+                        case (orig, opti):
+                            optimized += 1
+                            logging.debug(
+                                f"optimization for file: {orig} -> {(1 - (opti.size / orig.size)) * 100:.2f}%"  # noqa
+                            )
+                            file_group_optim.add(opti)
 
         logging.info(f"optimization finished in {time.perf_counter() - start:.2f}s")
-        return OptimizerResult(file_group, file_group_optim, optimized, errors)
+        return OptimizerResult(file_group, file_group_optim, optimized)