README.md

@@ -0,0 +1,86 @@
+# PhotoTools3
+
+PhotoTools3 uses an OpenAI-compatible vision API to generate photo captions and
+keywords, then writes the results to photo metadata. It can also assess photo
+quality.
+
+## Setup
+
+Install the Python dependencies with `uv` and make sure ExifTool is installed and
+available on `PATH` (it is a system dependency, not a Python package):
+
+```bash
+uv sync
+```
+
+Create a `.env` file in the project root with the LLM connection details and the
+prefix used to identify metadata written by PhotoTools3:
+
+```dotenv
+llm_api_base_url=https://your-openai-compatible-api/v1
+llm_api_key=your-api-key
+llm_default_temperature=0.2
+metadata_prefix=photools3:
+```
+
+Keyword suggestions are restricted to the vocabulary in `config/keywords.txt`.
+
+## Generate metadata
+
+The `metadata-magic` command accepts one or more image paths and/or directories.
+The default mode is `both`, which generates and writes a caption and keywords:
+
+```bash
+uv run photools3 metadata-magic photo.dng
+```
+
+Choose a mode with `--mode`:
+
+```bash
+# Generate only keywords
+uv run photools3 metadata-magic photo.dng --mode keywords
+
+# Generate only a caption
+uv run photools3 metadata-magic photo.dng --mode captions
+
+# Explicitly request both (the default)
+uv run photools3 metadata-magic photo.dng --mode both
+```
+
+Pass multiple files to process them sequentially as a batch:
+
+```bash
+uv run photools3 metadata-magic photo1.dng photo2.jpg --mode both
+```
+
+Directories are scanned at the top level by default. Add `--recursive` to
+include supported images in subdirectories. You can combine directories and
+individual file paths:
+
+```bash
+uv run photools3 metadata-magic ./photos --recursive --mode keywords
+uv run photools3 metadata-magic ./photos photo-to-include.dng --mode captions
+```
+
+The command reports each processed file and exits with a non-zero status if any
+file fails. In a batch, it continues processing the remaining files after an
+individual failure. Generated metadata is written using ExifTool and XMP
+sidecars.
+
+## Assess photo quality
+
+The `quality` command reports an assessment without changing photo metadata:
+
+```bash
+uv run photools3 quality photo.dng
+```
+
+## Help
+
+Show the available commands and options with:
+
+```bash
+uv run photools3 --help
+uv run photools3 metadata-magic --help
+uv run photools3 quality --help
+```

src/photools3/cli.py

@@ -3,13 +3,16 @@ from pathlib import Path
 from typing import Annotated
 
 import typer
+from PIL import Image
 from utils.logging_config import LoggingSettings
 
-from photools3.llm_session import (
-    LlmSessionCaptionsAndKeywords,
-    LlmSessionQuality,
-)
+from photools3.llm_session import LlmSessionQuality
 from photools3.photo import Photo
+from photools3.processing import (
+    ProcessingMode,
+    process_batch,
+    process_photo,
+)
 
 app = typer.Typer(help="PhotoTools3: A CLI for image processing.")
 LoggingSettings()
@@ -21,9 +24,7 @@ def main(
     ctx: typer.Context,
     version: bool | None = typer.Option(None, "--version", is_eager=True),
 ):
-    """
-    Main entry point for PhotoTools3 CLI.
-    """
+    """Main entry point for PhotoTools3 CLI."""
     if version:
         typer.echo("photools3 version 0.1.0")
         raise typer.Exit()
@@ -33,36 +34,118 @@ def main(
         raise typer.Exit()
 
 
-@app.command("keywords")
-def keywords(
-    file_path: Annotated[Path, typer.Argument(..., help="Path to the image file")],
+@app.command("metadata-magic")
+def metadata_magic(
+    paths: Annotated[
+        list[Path], typer.Argument(..., help="Photo file(s) and/or directory paths")
+    ],
+    mode: Annotated[
+        ProcessingMode,
+        typer.Option(
+            "--mode",
+            case_sensitive=False,
+            help="Metadata to generate and write",
+        ),
+    ] = ProcessingMode.BOTH,
+    recursive: Annotated[
+        bool,
+        typer.Option(
+            "--recursive/--no-recursive",
+            help="Recursively discover photos inside input directories",
+        ),
+    ] = False,
 ):
-    session = LlmSessionCaptionsAndKeywords()
-    _run_llm_task(file_path, session)
+    """Generate and write keywords, captions, or both for photos."""
+    _run_processing(paths, mode, recursive)
 
 
 @app.command("quality")
 def quality(
     file_path: Annotated[Path, typer.Argument(..., help="Path to the image file")],
 ):
-    session = LlmSessionQuality()
-    _run_llm_task(file_path, session)
-
-
-def _run_llm_task(
-    file_path: Path, session: LlmSessionCaptionsAndKeywords | LlmSessionQuality
-):
+    """Assess a photo's quality without changing its metadata."""
     try:
-        logger.info(f"Processing: {file_path}")
-        photo = Photo(file_path)
-        result = session.call([photo])
-        logger.info(result)
+        with LlmSessionQuality() as session, Photo(file_path) as photo:
+            result = session.call([photo])
+        logger.info("Quality assessment for %s: %s", file_path, result)
     except FileNotFoundError:
-        logger.error(f"Error: File '{file_path}' does not exist.")
+        logger.error("Photo not found: %s", file_path)
+        raise typer.Exit(code=1) from None
+    except Exception as exc:
+        logger.error("Error assessing photo %s: %s", file_path, exc)
+        raise typer.Exit(code=1) from exc
+
+
+def _run_processing(inputs: list[Path], mode: ProcessingMode, recursive: bool) -> None:
+    photo_paths = _expand_photo_paths(inputs, recursive)
+    if not photo_paths:
+        logger.error("No supported photo files found in the given input paths.")
         raise typer.Exit(code=1)
-    except Exception as e:  # noqa: BLE001
+
+    logger.info("Processing %d photo(s) in %s mode", len(photo_paths), mode.value)
+    if len(photo_paths) == 1:
+        path = photo_paths[0]
+        try:
+            process_photo(path, mode)
+        except FileNotFoundError:
+            logger.error("Photo not found: %s", path)
+            raise typer.Exit(code=1) from None
+        except Exception as exc:
+            logger.error("Failed to process %s: %s", path, exc)
+            raise typer.Exit(code=1) from exc
+        logger.info("Processed: %s", path)
+        return
+
+    try:
+        outcomes = process_batch(photo_paths, mode)
+    except Exception as exc:
+        logger.error("Batch processing failed: %s", exc)
+        raise typer.Exit(code=1) from exc
+
+    failures = 0
+    for outcome in outcomes:
+        if outcome.succeeded:
+            logger.info("Processed: %s", outcome.path)
+        else:
+            failures += 1
+            logger.error("Failed to process %s: %s", outcome.path, outcome.error)
+
+    logger.info(
+        "Batch complete: %d succeeded, %d failed", len(outcomes) - failures, failures
+    )
+    if failures:
         raise typer.Exit(code=1)
-        logger.error(f"Error processing image: {e}")
+
+
+def _expand_photo_paths(inputs: list[Path], recursive: bool) -> list[Path]:
+    """Expand directories to supported image files, preserving input order."""
+    supported_extensions = {
+        ".dng",
+        *(extension.lower() for extension in Image.registered_extensions()),
+    }
+    discovered: list[Path] = []
+
+    for path in inputs:
+        if not path.is_dir():
+            discovered.append(path)
+            continue
+
+        try:
+            candidates = path.rglob("*") if recursive else path.iterdir()
+            discovered.extend(
+                sorted(
+                    candidate
+                    for candidate in candidates
+                    if candidate.is_file()
+                    and candidate.suffix.lower() in supported_extensions
+                )
+            )
+        except OSError as exc:
+            logger.error("Could not read directory %s: %s", path, exc)
+            raise typer.Exit(code=1) from exc
+
+    # Avoid processing the same exact path more than once while retaining order.
+    return list(dict.fromkeys(discovered))
 
 
 if __name__ == "__main__":

src/photools3/llm_session.py

@@ -12,8 +12,10 @@ from photools3.models import (
     LlmMessageType,
     LlmRequest,
     LlmRequestMessage,
+    LlmResponseCaption,
     LlmResponseCaptionsAndKeywords,
     LlmResponseGeneral,
+    LlmResponseKeywords,
     LlmResponseQuality,
 )
 from photools3.photo import Photo
@@ -63,6 +65,15 @@ class LlmSession:
             api_key=self.api_key,
         )
 
+    def close(self):
+        self.client.close()
+
+    def __enter__(self):
+        return self
+
+    def __exit__(self, exc_type, exc_value, traceback):
+        self.close()
+
     def client_chat_completion_create(self, request: LlmRequest, choice_no: int = 0):
         response = self.client.chat.completions.create(**request.model_dump())
         return response.choices[choice_no].message.content
@@ -171,6 +182,38 @@ class LlmSessionCaptionsAndKeywords(LlmSession):
         )
 
 
+class LlmSessionCaption(LlmSession):
+    response_model = LlmResponseCaption
+    prompt = "Write a caption for the following photo"
+
+    def __init__(self, temperature: float = settings.llm_default_temperature):
+        super().__init__(
+            system_prompt=(
+                "You are a helpful photographer's assistant that writes captions "
+                "for photos. Answer in German.\n"
+                "Output must be a JSON of the following schema:\n"
+                f"{self.response_model.model_json_schema()}"
+            ),
+            temperature=temperature,
+        )
+
+
+class LlmSessionKeywords(LlmSession):
+    response_model = LlmResponseKeywords
+    prompt = "Choose appropriate keywords for the following photo"
+
+    def __init__(self, temperature: float = settings.llm_default_temperature):
+        super().__init__(
+            system_prompt=(
+                "You are a helpful photographer's assistant that chooses keywords "
+                "for photos. Answer in German.\n"
+                "Output must be a JSON of the following schema:\n"
+                f"{self.response_model.model_json_schema()}"
+            ),
+            temperature=temperature,
+        )
+
+
 class LlmSessionQuality(LlmSession):
     response_model = LlmResponseQuality
     prompt = "Assess the quality of the following photos to help me decide which ones to sort out"

src/photools3/metadata_writer.py

@@ -87,12 +87,12 @@ class MetadataWriter:
         return metadata
 
     def get_caption(self) -> str:
-        result = self.metadata.get(XMP_KEYS_CAPTION[0], "")
+        result = (self.metadata or {}).get(XMP_KEYS_CAPTION[0], "")
         assert isinstance(result, str)
         return result
 
     def get_keywords(self) -> list[str]:
-        result = self.metadata.get(XMP_KEYS_KEYWORDS[0], []) or []
+        result = (self.metadata or {}).get(XMP_KEYS_KEYWORDS[0], []) or []
         if isinstance(result, str):
             result = [result]
         assert isinstance(result, list)
@@ -108,8 +108,11 @@ class MetadataWriter:
                     tags=metadata_tags,
                     params=["-overwrite_original"],
                 )
-        except Exception as exc:  # noqa: BLE001
+        except Exception as exc:
             log.error(f"Could not write metadata to file {self.sidecar_path}: {exc}")
+            raise RuntimeError(
+                f"Could not write metadata to file {self.sidecar_path}"
+            ) from exc
 
     def write_caption(
         self, caption: Caption, include_prefix: bool = True, override: bool = True
@@ -151,9 +154,27 @@ class MetadataWriter:
         keywords: Keywords | None = None,
         color: Color | None = None,
     ):
+        metadata_tags: XmpMetadata = {}
         if caption is not None:
-            self.write_caption(caption)
+            existing_no_prefix, _ = _separate_prefixed_caption(self.get_caption())
+            if existing_no_prefix:
+                existing_no_prefix = (
+                    f"{existing_no_prefix}."
+                    if not existing_no_prefix.endswith(".")
+                    else existing_no_prefix
+                )
+                existing_no_prefix = f"{existing_no_prefix} "
+            caption = f"{existing_no_prefix}{_prefixed(caption)}"
+            metadata_tags.update({key: caption for key in XMP_KEYS_CAPTION})
+
         if keywords is not None:
-            self.write_keywords(keywords)
+            keywords = list(map(_prefixed, keywords))
+            existing = self.get_keywords()
+            keywords = list(set(existing + keywords))
+            metadata_tags.update({tag: keywords for tag in XMP_KEYS_KEYWORDS})
+
         if color is not None:
-            self.write_color(color)
+            metadata_tags["XMP-darktable:Colorlabels"] = color
+
+        if metadata_tags:
+            self.set_metadata(metadata_tags)

src/photools3/models.py

@@ -86,6 +86,42 @@ class LlmResponseGeneral(BaseModel):
     text: str
 
 
+class LlmResponseCaption(BaseModel):
+    caption: Annotated[
+        str,
+        Field(
+            description=(
+                "A brief but precise description of what the picture shows. "
+                "No interpretation; just what is visible"
+            )
+        ),
+    ]
+
+
+class LlmResponseKeywords(BaseModel):
+    tags: list[str] = Field(
+        description=(
+            "A list of keywords that properly tag the photo. "
+            "Allowed keywords: "
+            + str(load_valid_keywords())
+            .replace("'", '"')
+            .replace("{", "[")
+            .replace("}", "]")
+        )
+    )
+
+    @field_validator("tags")
+    @classmethod
+    def validate_tags(cls, v: list[str]) -> list[str]:
+        valid_keywords = load_valid_keywords()
+        for tag in v:
+            if tag not in valid_keywords:
+                raise ValueError(
+                    f"'{tag}' is not a valid keyword. Must be one from the configuration."
+                )
+        return v
+
+
 class LlmResponseCaptionsAndKeywords(BaseModel):
     caption: Annotated[
         str,

src/photools3/photo.py

@@ -1,6 +1,7 @@
 import base64
 from io import BytesIO
 from pathlib import Path
+from typing import Self
 
 from PIL import Image
 
@@ -17,6 +18,15 @@ class Photo:
         self.path = path
         self.image = Image.open(path)
 
+    def close(self):
+        self.image.close()
+
+    def __enter__(self) -> Self:
+        return self
+
+    def __exit__(self, exc_type, exc_value, traceback):
+        self.close()
+
     def resize(self, image_max_size=1024) -> Photo:
         """Limiting max dimensions while maintaining aspect ratio"""
         self.image.thumbnail((image_max_size, image_max_size), Image.Resampling.LANCZOS)
@@ -24,7 +34,9 @@ class Photo:
 
     def to_rgb(self):
         if self.image.mode != "RGB":
-            self.image = self.image.convert("RGB")
+            original = self.image
+            self.image = original.convert("RGB")
+            original.close()
         return self
 
     def get_encoded(self):

src/photools3/processing.py

@@ -0,0 +1,128 @@
+import logging
+from collections.abc import Iterable
+from dataclasses import dataclass
+from enum import StrEnum
+from pathlib import Path
+
+from photools3.llm_session import (
+    LlmSession,
+    LlmSessionCaption,
+    LlmSessionCaptionsAndKeywords,
+    LlmSessionKeywords,
+)
+from photools3.metadata_writer import MetadataWriter
+from photools3.models import (
+    LlmResponseCaption,
+    LlmResponseCaptionsAndKeywords,
+    LlmResponseKeywords,
+)
+from photools3.photo import Photo
+
+logger = logging.getLogger(__name__)
+
+type ProcessingResponse = (
+    LlmResponseCaption | LlmResponseKeywords | LlmResponseCaptionsAndKeywords
+)
+
+
+class ProcessingMode(StrEnum):
+    KEYWORDS = "keywords"
+    CAPTIONS = "captions"
+    BOTH = "both"
+
+
+@dataclass(frozen=True)
+class ProcessingOutcome:
+    path: Path
+    result: ProcessingResponse | None = None
+    error: str | None = None
+
+    @property
+    def succeeded(self) -> bool:
+        return self.error is None and self.result is not None
+
+
+def _create_session(mode: ProcessingMode) -> LlmSession:
+    if mode == ProcessingMode.KEYWORDS:
+        return LlmSessionKeywords()
+    if mode == ProcessingMode.CAPTIONS:
+        return LlmSessionCaption()
+    return LlmSessionCaptionsAndKeywords()
+
+
+def process_photo(
+    path: Path | str,
+    mode: ProcessingMode | str = ProcessingMode.BOTH,
+    *,
+    session: LlmSession | None = None,
+) -> ProcessingResponse:
+    """Process one photo and write the requested LLM result to its metadata.
+
+    If a session is supplied, its lifecycle remains the caller's responsibility.
+    """
+    path = Path(path)
+    mode = ProcessingMode(mode)
+    owns_session = session is None
+    active_session = session if session is not None else _create_session(mode)
+
+    try:
+        with Photo(path) as photo:
+            result = active_session.call([photo])
+
+        caption: str | None = None
+        keywords: list[str] | None = None
+        if mode == ProcessingMode.CAPTIONS:
+            if not isinstance(result, LlmResponseCaption):
+                raise TypeError("Caption mode returned an unexpected response type")
+            caption = result.caption
+        elif mode == ProcessingMode.KEYWORDS:
+            if not isinstance(result, LlmResponseKeywords):
+                raise TypeError("Keywords mode returned an unexpected response type")
+            keywords = result.tags
+        else:
+            if not isinstance(result, LlmResponseCaptionsAndKeywords):
+                raise TypeError("Both mode returned an unexpected response type")
+            caption = result.caption
+            keywords = result.tags
+
+        MetadataWriter(path).write(caption=caption, keywords=keywords)
+        return result
+    finally:
+        if owns_session:
+            active_session.close()
+
+
+def process_batch(
+    paths: Iterable[Path | str],
+    mode: ProcessingMode | str = ProcessingMode.BOTH,
+) -> list[ProcessingOutcome]:
+    """Process photos sequentially, reusing one LLM client for the whole batch.
+
+    A failed photo is recorded in its outcome and does not stop later photos.
+    Only one decoded image is held at a time.
+    """
+    mode = ProcessingMode(mode)
+    session = _create_session(mode)
+    outcomes: list[ProcessingOutcome] = []
+
+    try:
+        for item in paths:
+            path = Path(item)
+            try:
+                result = process_photo(path, mode, session=session)
+            except Exception as exc:
+                logger.exception("Failed to process %s", path)
+                # Keep only a string, not the exception/traceback, which can
+                # retain references to the just-processed image and stack.
+                outcomes.append(
+                    ProcessingOutcome(
+                        path=path,
+                        error=f"{type(exc).__name__}: {exc}",
+                    )
+                )
+            else:
+                outcomes.append(ProcessingOutcome(path=path, result=result))
+    finally:
+        session.close()
+
+    return outcomes

test/test_cli.py

@@ -1,100 +1,197 @@
-import logging
 from pathlib import Path
+from types import SimpleNamespace
 from unittest.mock import patch
 
-import pytest
 from typer.testing import CliRunner
 
 from photools3.cli import app
+from photools3.processing import ProcessingMode
 
 runner = CliRunner()
 
-CLI_LOGGER = "photools3.cli"
+
+def _success_outcome(path: Path):
+    return SimpleNamespace(path=path, succeeded=True, error=None)
 
 
-@pytest.fixture
-def mock_photo_logic(tmp_path):
-    """Fixture to mock the core logic of keywords command."""
+def test_metadata_magic_command_defaults_to_both_for_single_photo(tmp_path):
+    image_path = tmp_path / "photo.jpg"
+    image_path.write_bytes(b"test image")
+
     with (
-        patch("photools3.cli.LlmSessionCaptionsAndKeywords") as mocked_session,
-        patch("photools3.cli.Photo") as mocked_photo,
+        patch("photools3.cli.process_photo") as process_photo,
+        patch("photools3.cli.process_batch") as process_batch,
     ):
-
-        # Configure session mock
-        session_instance = mocked_session.return_value
-        session_instance.call.return_value = {
-            "caption": "A beautiful test image",
-            "args": ["test", "mock", "image"],  # Wait, the code uses 'tags'
-        }
-        # Let me re-check the code in cli.py
-        # result.get("tags", [])
-        session_instance.call.return_value = {
-            "caption": "A beautiful test image",
-            "tags": ["test", "mock", "image"],
-        }
-
-        # Configure photo mock
-        photo_instance = mocked_photo.return_value
-        photo_instance.path = tmp_path / "test_image.jpg"
-
-        yield {
-            "session": session_instance,
-            "photo_class": mocked_photo,
-            "photo_instance": photo_instance,
-        }
-
-
-@pytest.fixture
-def dummy_file(tmp_path):
-    """Fixture to create a dummy file for CLI testing."""
-    dummy_path = tmp_path / "test_image.jpg"
-    dummy_path.write_text("dummy content")
-    return dummy_path
-
-
-def test_keywords_command_success(mock_photo_logic, dummy_file, caplog):
-    """Test the 'keywords' command with a valid file path."""
-    # Ensure the mock photo instance points to our dummy file
-    mock_photo_logic["photo_class"].return_value.path = dummy_file
-
-    with caplog.at_level(logging.INFO, logger=CLI_LOGGER):
-        result = runner.invoke(app, ["keywords", str(dummy_file)])
+        result = runner.invoke(app, ["metadata-magic", str(image_path)])
 
     assert result.exit_code == 0
-    assert "Processing: " in caplog.text
-    # The result is logged as a raw dictionary string
-    assert (
-        "{'caption': 'A beautiful test image', 'tags': ['test', 'mock', 'image']}"
-        in caplog.text
+    process_photo.assert_called_once_with(image_path, ProcessingMode.BOTH)
+    process_batch.assert_not_called()
+
+
+def test_metadata_magic_command_selects_caption_mode(tmp_path):
+    image_path = tmp_path / "photo.jpg"
+    image_path.write_bytes(b"test image")
+
+    with patch("photools3.cli.process_photo") as process_photo:
+        result = runner.invoke(
+            app, ["metadata-magic", str(image_path), "--mode", "captions"]
+        )
+
+    assert result.exit_code == 0
+    process_photo.assert_called_once_with(image_path, ProcessingMode.CAPTIONS)
+
+
+def test_metadata_magic_command_batches_multiple_files(tmp_path):
+    paths = [tmp_path / "one.jpg", tmp_path / "two.jpg"]
+    for path in paths:
+        path.write_bytes(b"test image")
+
+    with (
+        patch("photools3.cli.process_photo") as process_photo,
+        patch("photools3.cli.process_batch") as process_batch,
+    ):
+        process_batch.return_value = [_success_outcome(path) for path in paths]
+        result = runner.invoke(
+            app,
+            ["metadata-magic", *(str(path) for path in paths), "--mode", "keywords"],
+        )
+
+    assert result.exit_code == 0
+    process_photo.assert_not_called()
+    process_batch.assert_called_once_with(paths, ProcessingMode.KEYWORDS)
+
+
+def test_metadata_magic_command_expands_directories_recursively(tmp_path):
+    root = tmp_path / "photos"
+    nested = root / "nested"
+    nested.mkdir(parents=True)
+    top_level_photo = root / "one.jpg"
+    nested_photo = nested / "two.png"
+    sidecar = root / "one.jpg.xmp"
+    for path in (top_level_photo, nested_photo, sidecar):
+        path.write_bytes(b"placeholder")
+
+    with (
+        patch("photools3.cli.process_photo") as process_photo,
+        patch("photools3.cli.process_batch") as process_batch,
+    ):
+        process_batch.return_value = [
+            _success_outcome(nested_photo),
+            _success_outcome(top_level_photo),
+        ]
+        result = runner.invoke(
+            app, ["metadata-magic", str(root), "--recursive", "--mode", "both"]
+        )
+
+    assert result.exit_code == 0
+    process_photo.assert_not_called()
+    process_batch.assert_called_once_with(
+        [nested_photo, top_level_photo], ProcessingMode.BOTH
     )
 
 
-def test_keywords_command_file_not_found(caplog):
-    """Test the 'keywords' command with a non-existent file path."""
-    non_existent_file = Path("non_existent_file.jpg")
+def test_metadata_magic_command_does_not_recurse_by_default(tmp_path):
+    root = tmp_path / "photos"
+    nested = root / "nested"
+    nested.mkdir(parents=True)
+    top_level_photo = root / "one.jpg"
+    nested_photo = nested / "two.jpg"
+    top_level_photo.write_bytes(b"placeholder")
+    nested_photo.write_bytes(b"placeholder")
 
-    with caplog.at_level(logging.ERROR, logger=CLI_LOGGER):
-        result = runner.invoke(app, ["keywords", str(non_existent_file)])
+    with (
+        patch("photools3.cli.process_photo") as process_photo,
+        patch("photools3.cli.process_batch") as process_batch,
+    ):
+        result = runner.invoke(app, ["metadata-magic", str(root)])
+
+    assert result.exit_code == 0
+    process_photo.assert_called_once_with(top_level_photo, ProcessingMode.BOTH)
+    process_batch.assert_not_called()
+
+
+def test_metadata_magic_command_returns_failure_if_any_batch_item_fails(tmp_path):
+    paths = [tmp_path / "one.jpg", tmp_path / "two.jpg"]
+    for path in paths:
+        path.write_bytes(b"test image")
+
+    with patch("photools3.cli.process_batch") as process_batch:
+        process_batch.return_value = [
+            _success_outcome(paths[0]),
+            SimpleNamespace(
+                path=paths[1], succeeded=False, error="RuntimeError: write failed"
+            ),
+        ]
+        result = runner.invoke(app, ["metadata-magic", *(str(path) for path in paths)])
 
     assert result.exit_code == 1
-    assert f"Error: File '{non_existent_file}' does not exist." in caplog.text
 
 
-def test_keywords_command_error_during_processing(mock_photo_logic, dummy_file):
-    """Test the 'keywords' command when an exception occurs during processing."""
-    # Configure the session mock to raise an exception
-    mock_photo_logic["session"].call.side_effect = Exception("LLM error")
+def test_metadata_magic_command_returns_failure_for_single_photo_error(tmp_path):
+    image_path = tmp_path / "photo.jpg"
+    image_path.write_bytes(b"test image")
 
-    result = runner.invoke(app, ["keywords", str(dummy_file)])
+    with patch("photools3.cli.process_photo", side_effect=RuntimeError("LLM error")):
+        result = runner.invoke(app, ["metadata-magic", str(image_path)])
+
+    assert result.exit_code == 1
+
+
+def test_keywords_alias_is_not_registered():
+    result = runner.invoke(app, ["keywords", "photo.jpg"])
+
+    assert result.exit_code == 2
+    assert "No such command 'keywords'" in result.output
+
+
+def test_old_process_command_name_is_not_registered():
+    result = runner.invoke(app, ["process", "photo.jpg"])
+
+    assert result.exit_code == 2
+    assert "No such command 'process'" in result.output
+
+
+def test_metadata_magic_command_rejects_empty_directory(tmp_path):
+    with (
+        patch("photools3.cli.process_photo") as process_photo,
+        patch("photools3.cli.process_batch") as process_batch,
+    ):
+        result = runner.invoke(app, ["metadata-magic", str(tmp_path)])
+
+    assert result.exit_code == 1
+    process_photo.assert_not_called()
+    process_batch.assert_not_called()
+
+
+def test_quality_command_closes_photo_and_session(tmp_path):
+    image_path = tmp_path / "photo.jpg"
+    image_path.write_bytes(b"test image")
+
+    with (
+        patch("photools3.cli.LlmSessionQuality") as session_class,
+        patch("photools3.cli.Photo") as photo_class,
+    ):
+        result = runner.invoke(app, ["quality", str(image_path)])
+
+    assert result.exit_code == 0
+    session_class.return_value.__enter__.return_value.call.assert_called_once_with(
+        [photo_class.return_value.__enter__.return_value]
+    )
+    session_class.return_value.__exit__.assert_called_once()
+    photo_class.return_value.__exit__.assert_called_once()
+
+
+def test_quality_command_reports_error_and_exits(tmp_path):
+    image_path = tmp_path / "photo.jpg"
+
+    with patch("photools3.cli.Photo", side_effect=FileNotFoundError(image_path)):
+        result = runner.invoke(app, ["quality", str(image_path)])
 
-    # Note: cli.py raises typer.Exit(code=1) before logging the
-    # "Error processing image: ..." message (the logger.error call is dead
-    # code after the raise), so only the exit code can be asserted here.
     assert result.exit_code == 1
 
 
 def test_version_command():
-    """Test the --version option."""
     result = runner.invoke(app, ["--version"])
 
     assert result.exit_code == 0

test/test_metadata_writer.py

@@ -1,5 +1,6 @@
 import shutil
 from pathlib import Path
+from unittest.mock import patch
 
 import pytest
 
@@ -211,3 +212,32 @@ def test_set_keywords(make_dng_file, pic, expected_keywords):
 def test_set_keywords_on_existing():
     # TODO
     ...
+
+
+def test_write_caption_and_keywords_in_one_metadata_update(tmp_path):
+    writer = MetadataWriter(tmp_path / "photo.jpg")
+    with (
+        patch.object(writer, "get_caption", return_value="Original caption"),
+        patch.object(writer, "get_keywords", return_value=["existing"]),
+        patch.object(writer, "set_metadata") as set_metadata,
+    ):
+        writer.write(caption="Generated caption", keywords=["architektur"])
+
+    set_metadata.assert_called_once()
+    metadata_tags = set_metadata.call_args.args[0]
+    assert metadata_tags["XMP:Description"] == (
+        f"Original caption. {PREFIX}Generated caption"
+    )
+    assert set(metadata_tags["XMP:Subject"]) == {
+        "existing",
+        f"{PREFIX}architektur",
+    }
+
+
+def test_set_metadata_surfaces_write_failures(tmp_path):
+    writer = MetadataWriter(tmp_path / "photo.jpg")
+    with patch("photools3.metadata_writer.exiftool.ExifToolHelper") as exif:
+        exif_instance = exif.return_value.__enter__.return_value
+        exif_instance.execute.side_effect = OSError("ExifTool failed")
+        with pytest.raises(RuntimeError, match="Could not write metadata"):
+            writer.set_metadata({"XMP:Description": "caption"})

test/test_photo.py

@@ -48,6 +48,15 @@ def test_load_photo():
     assert isinstance(photo.image, Image.Image)
 
 
+def test_photo_context_manager_closes_image(tmp_path):
+    path = _make_image_file(tmp_path, "RGB")
+    with Photo(path) as photo:
+        image = photo.image
+        assert image.fp is not None
+
+    assert image.fp is None
+
+
 def test_resize_method_exists():
     """Test that resize method exists and returns a Photo instance"""
     photo = Photo(PATHS_DNG_EXAMPLES[0])

test/test_processing.py

@@ -0,0 +1,129 @@
+from pathlib import Path
+from unittest.mock import MagicMock, patch
+
+import pytest
+from PIL import Image
+
+from photools3.models import (
+    LlmResponseCaption,
+    LlmResponseCaptionsAndKeywords,
+    LlmResponseKeywords,
+)
+from photools3.processing import (
+    ProcessingMode,
+    _create_session,
+    process_batch,
+    process_photo,
+)
+
+
+@pytest.fixture
+def image_path(tmp_path):
+    path = tmp_path / "photo.png"
+    Image.new("RGB", (20, 20)).save(path)
+    return path
+
+
+@pytest.mark.parametrize(
+    ("mode", "response", "expected_metadata"),
+    [
+        (
+            ProcessingMode.KEYWORDS,
+            LlmResponseKeywords(tags=["architektur"]),
+            {"caption": None, "keywords": ["architektur"]},
+        ),
+        (
+            ProcessingMode.CAPTIONS,
+            LlmResponseCaption(caption="Ein Haus"),
+            {"caption": "Ein Haus", "keywords": None},
+        ),
+        (
+            ProcessingMode.BOTH,
+            LlmResponseCaptionsAndKeywords(caption="Ein Haus", tags=["architektur"]),
+            {"caption": "Ein Haus", "keywords": ["architektur"]},
+        ),
+    ],
+)
+def test_process_photo_writes_only_requested_metadata(
+    image_path, mode, response, expected_metadata
+):
+    session = MagicMock()
+    session.call.return_value = response
+
+    with (
+        patch("photools3.processing._create_session", return_value=session),
+        patch("photools3.processing.MetadataWriter") as writer_class,
+    ):
+        result = process_photo(image_path, mode)
+
+    assert result == response
+    session.call.assert_called_once()
+    session.close.assert_called_once()
+    writer_class.assert_called_once_with(image_path)
+    writer_class.return_value.write.assert_called_once_with(**expected_metadata)
+
+
+def test_process_photo_does_not_close_a_caller_owned_session(image_path):
+    session = MagicMock()
+    session.call.return_value = LlmResponseCaption(caption="Ein Haus")
+
+    with patch("photools3.processing.MetadataWriter"):
+        process_photo(image_path, ProcessingMode.CAPTIONS, session=session)
+
+    session.close.assert_not_called()
+
+
+@pytest.mark.parametrize(
+    ("mode", "constructor"),
+    [
+        (ProcessingMode.KEYWORDS, "LlmSessionKeywords"),
+        (ProcessingMode.CAPTIONS, "LlmSessionCaption"),
+        (ProcessingMode.BOTH, "LlmSessionCaptionsAndKeywords"),
+    ],
+)
+def test_create_session_selects_mode_specific_response_model(mode, constructor):
+    with patch(f"photools3.processing.{constructor}") as session_class:
+        assert _create_session(mode) is session_class.return_value
+
+    session_class.assert_called_once_with()
+
+
+def test_process_batch_is_sequential_reuses_session_and_continues_after_error():
+    active_photos = 0
+    max_active_photos = 0
+
+    class TrackingPhoto:
+        def __init__(self, path):
+            self.path = path
+
+        def __enter__(self):
+            nonlocal active_photos, max_active_photos
+            active_photos += 1
+            max_active_photos = max(max_active_photos, active_photos)
+            return self
+
+        def __exit__(self, exc_type, exc_value, traceback):
+            nonlocal active_photos
+            active_photos -= 1
+
+    session = MagicMock()
+    response = LlmResponseCaptionsAndKeywords(caption="Ein Haus", tags=["architektur"])
+    session.call.side_effect = [response, RuntimeError("temporary error"), response]
+    paths = [Path("one.jpg"), Path("two.jpg"), Path("three.jpg")]
+
+    with (
+        patch("photools3.processing._create_session", return_value=session),
+        patch("photools3.processing.Photo", TrackingPhoto),
+        patch("photools3.processing.MetadataWriter") as writer_class,
+    ):
+        outcomes = process_batch(paths, ProcessingMode.BOTH)
+
+    assert [outcome.succeeded for outcome in outcomes] == [True, False, True]
+    assert [outcome.path for outcome in outcomes] == paths
+    assert outcomes[1].error == "RuntimeError: temporary error"
+    assert max_active_photos == 1
+    assert active_photos == 0
+    assert session.call.call_count == 3
+    assert all(len(call.args[0]) == 1 for call in session.call.call_args_list)
+    assert writer_class.return_value.write.call_count == 2
+    session.close.assert_called_once()