164 lines
6.1 KiB
Python
164 lines
6.1 KiB
Python
import asyncio
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from textual.app import ComposeResult
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from textual.widgets import Input, Label, Button, Static, Checkbox, RadioSet, RadioButton
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from textual.containers import Container, Vertical
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from textual.binding import Binding
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from cognee.cli.tui.base_screen import BaseTUIScreen
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from cognee.cli.config import CHUNKER_CHOICES
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class CognifyTUIScreen(BaseTUIScreen):
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"""TUI screen for cognifying data in cognee."""
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BINDINGS = [
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Binding("q", "quit_app", "Quit"),
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Binding("escape", "back", "Back"),
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Binding("ctrl+s", "submit", "Submit"),
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]
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CSS = BaseTUIScreen.CSS + """
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Checkbox {
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margin-top: 1;
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margin-bottom: 1;
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}
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RadioSet {
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margin-top: 0;
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margin-bottom: 1;
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height: auto;
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}
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RadioButton {
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height: 1;
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}
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"""
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def __init__(self):
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super().__init__()
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self.is_processing = False
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def compose_content(self) -> ComposeResult:
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with Container(classes="tui-main-container"):
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with Container(classes="tui-title-wrapper"):
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yield Static("⚡ Cognify Data", classes="tui-title-bordered")
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with Vertical(classes="tui-form"):
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yield Label("Dataset Name (optional, leave empty for all):", classes="tui-label-spaced")
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yield Input(
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placeholder="Leave empty to process all datasets",
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value="",
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id="dataset-input"
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)
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yield Label("Chunker Type:", classes="tui-label-spaced")
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with RadioSet(id="chunker-radio"):
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for chunker in CHUNKER_CHOICES:
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yield RadioButton(chunker, value=(chunker == "TextChunker"))
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yield Checkbox("Run in background", id="background-checkbox")
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yield Static("", classes="tui-status")
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def compose_footer(self) -> ComposeResult:
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yield Static(
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"Ctrl+S: Start • Esc: Back • q: Quit",
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classes="tui-footer"
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)
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def on_mount(self) -> None:
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"""Focus the dataset input on mount."""
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dataset_input = self.query_one("#dataset-input", Input)
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dataset_input.focus()
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def action_back(self) -> None:
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"""Go back to home screen."""
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if not self.is_processing:
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self.app.pop_screen()
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def action_quit_app(self) -> None:
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"""Quit the entire application."""
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self.app.exit()
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def action_submit(self) -> None:
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"""Submit the form."""
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if not self.is_processing:
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self._submit_cognify()
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def on_button_pressed(self, event: Button.Pressed) -> None:
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"""Handle button press."""
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if event.button.id == "submit-btn" and not self.is_processing:
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self._submit_cognify()
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def _submit_cognify(self) -> None:
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"""Process and submit the cognify request."""
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dataset_input = self.query_one("#dataset-input", Input)
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chunker_radio = self.query_one("#chunker-radio", RadioSet)
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background_checkbox = self.query_one("#background-checkbox", Checkbox)
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status = self.query_one(".tui-status", Static)
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dataset_name = dataset_input.value.strip() or None
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chunker_type = str(chunker_radio.pressed_button.label) if chunker_radio.pressed_button else "TextChunker"
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run_background = background_checkbox.value
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self.is_processing = True
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status.update("[yellow]⏳ Starting cognification...[/yellow]")
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# Disable inputs during processing
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dataset_input.disabled = True
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chunker_radio.disabled = True
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background_checkbox.disabled = True
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self.query_one("#submit-btn", Button).disabled = True
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# Run async cognify operation
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asyncio.create_task(self._cognify_async(dataset_name, chunker_type, run_background))
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async def _cognify_async(self, dataset_name: str | None, chunker_type: str, run_background: bool) -> None:
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"""Async function to cognify data."""
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status = self.query_one(".tui-status", Static)
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try:
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import cognee
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from cognee.modules.chunking.TextChunker import TextChunker
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# Get chunker class
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chunker_class = TextChunker
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if chunker_type == "LangchainChunker":
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try:
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from cognee.modules.chunking.LangchainChunker import LangchainChunker
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chunker_class = LangchainChunker
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except ImportError:
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status.update("[yellow]⚠ LangchainChunker not available, using TextChunker[/yellow]")
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elif chunker_type == "CsvChunker":
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try:
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from cognee.modules.chunking.CsvChunker import CsvChunker
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chunker_class = CsvChunker
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except ImportError:
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status.update("[yellow]⚠ CsvChunker not available, using TextChunker[/yellow]")
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# Prepare datasets parameter
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datasets = [dataset_name] if dataset_name else None
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await cognee.cognify(
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datasets=datasets,
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chunker=chunker_class,
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run_in_background=run_background,
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)
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if run_background:
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status.update("[green]✓ Cognification started in background![/green]")
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else:
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status.update("[green]✓ Cognification completed successfully![/green]")
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except Exception as e:
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status.update(f"[red]✗ Failed to cognify: {str(e)}[/red]")
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finally:
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# Re-enable inputs
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self.is_processing = False
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dataset_input = self.query_one("#dataset-input", Input)
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chunker_radio = self.query_one("#chunker-radio", RadioSet)
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background_checkbox = self.query_one("#background-checkbox", Checkbox)
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dataset_input.disabled = False
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chunker_radio.disabled = False
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background_checkbox.disabled = False
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self.query_one("#submit-btn", Button).disabled = False
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dataset_input.focus()
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