Wip

README.md

@@ -4,3 +4,4 @@ This is a little TUI based on [Textual] for entering new Teilchen and for
 searching for existing Teilchen.
 
 
+[Textual]: https://textual.textualize.io/

src/teilchensammler_cli/__init__.py

@@ -0,0 +1,8 @@
+"""
+This file exists so the directory becomes a package.
+"""
+
+from .main import main
+
+if __name__ == "__main__":
+    main()

src/teilchensammler_cli/main.py

@@ -0,0 +1,105 @@
+"""
+This is where the application is implemented.
+"""
+
+from typing import Literal, final, override
+
+from textual.app import App, ComposeResult
+from textual.containers import Horizontal
+from textual.screen import Screen
+from textual.widget import Widget
+from textual.widgets import (
+    Button,
+    DataTable,
+    Footer,
+    Header,
+    Input,
+)
+
+
+@final
+class SearchBar(Widget):
+    DEFAULT_CSS = """
+    #teilchen-input {
+        width: 4fr;
+    }
+    #button-search, #button-add {
+        width: 1fr;
+    }
+    """
+
+    @override
+    def compose(self) -> ComposeResult:
+        with Horizontal(id="search-bar-widget"):
+            yield Input(
+                placeholder="Enter Teilchen information: name, description, #tags",
+                tooltip=(
+                    "This is a free-form field: Enter a name and "
+                    "description any way you like. You should use #hashtags for any "
+                    "meta information."
+                ),
+                id="teilchen-input",
+                type="text",
+            )
+            yield Button(
+                "Add", variant="success", classes="search-bar-buttons", id="button-add"
+            )
+            yield Button(
+                "Search",
+                variant="default",
+                classes="search-bar-buttons",
+                id="button-search",
+            )
+
+
+TeilchenDatum = tuple[int, str, str, str, str]
+TeilchenHeader = tuple[
+    Literal["pk"],
+    Literal["Name"],
+    Literal["Description"],
+    Literal["Number"],
+    Literal["Tags"],
+]
+
+
+FAKE_DATA: list[TeilchenHeader | TeilchenDatum] = [
+    ("pk", "Name", "Description", "Number", "Tags"),
+    (0, "Name0", "Description0", "9000", "#tag0 #tag00 #tag000"),
+    (1, "Name1", "Description1", "9001", "#tag1 #tag11 #tag111"),
+    (2, "Name2", "Description2", "9002", "#tag2 #tag22 #tag222"),
+    (3, "Name3", "Description3", "9003", "#tag3 #tag33 #tag333"),
+    (4, "Name4", "Description4", "9004", "#tag4 #tag44 #tag444"),
+    (5, "Name5", "Description5", "9005", "#tag5 #tag55 #tag555"),
+]
+
+
+@final
+class SearchResults(Widget):
+    @override
+    def compose(self) -> ComposeResult:
+        yield DataTable(id="table-search-result", cursor_type="row", zebra_stripes=True)
+
+    def on_mount(self) -> None:
+        table: DataTable[None] = self.query_one(DataTable[None])
+        _ = table.add_columns(*FAKE_DATA[0])  # pyright: ignore[reportArgumentType]
+        _ = table.add_rows(FAKE_DATA[1:])  # pyright: ignore[reportArgumentType]
+
+
+class AddInventoryScreen(Screen[None]):
+    @override
+    def compose(self) -> ComposeResult:
+        yield Header()
+        yield SearchBar()
+        yield SearchResults()
+        yield Footer()
+
+
+@final
+class SammlerApp(App[None]):
+    def on_mount(self) -> None:
+        _ = self.push_screen(AddInventoryScreen())
+
+
+def main() -> None:
+    app = SammlerApp()
+    app.run()