# Conversation a8de2ac1fa4041c96

- Source: `claude`
- User: `pascal`
- System: `Pascals-MBP.local`
- Started: `2026-02-24T17:19:25.417Z`
- CWD: `/Users/pascal/Code/business/convx/.claude/worktrees/agent-a8de2ac1`

## User

_`2026-02-24T17:19:25.417Z`_

In the repo at /Users/pascal/Code/business/convx, add a stats/chart screen to the existing Textual TUI that shows word counts per project over time as a multi-line terminal chart.

## Context

The project has a Textual TUI in `src/convx_ai/tui.py` — an `ExploreApp` that lets you browse exported AI sessions. It uses Textual (>=8.0) and already has keybindings, list views, and markdown preview.

## Target data contract

A function `compute_word_series(history_path: Path) -> dict` will be available at `convx_ai.stats.compute_word_series`. It returns:

```python
{
    "dates":    ["2026-01-01", "2026-01-02", ...],   # sorted YYYY-MM-DD strings
    "projects": ["convx", "other-repo", ...],         # sorted project names
    "series":   {
        "convx":      [0, 142, 0, 88, ...],           # word count per date, aligned to dates
        "other-repo": [0,   0, 55,  0, ...],
    }
}
```

## What to build

### 1. Add `textual-plotext` to `pyproject.toml`

Add `"textual-plotext>=1.0"` to the `dependencies` list. Run `uv sync` to install it after editing pyproject.toml.

### 2. Add a `StatsScreen` to `src/convx_ai/tui.py`

Create a new Textual `Screen` subclass called `StatsScreen` that:
- On mount, loads word series data by calling `compute_word_series(self.repo / "history")` in a worker thread (use `@work` + `run_in_executor` as the existing code does, to avoid blocking the UI)
- Renders a multi-line plotext chart using `PlotextPlot` from `textual_plotext`
- Each project gets its own line on the chart
- X axis = dates (show only every Nth label to avoid crowding — pick N based on terminal width, aim for ~8-10 x-axis labels)
- Y axis = word count
- Title: "Words per project per day"
- Shows a loading label while data is being fetched, replaces it with the chart once ready
- Pressing `escape` or `q` pops the screen (returns to ExploreApp)

### 3. Wire it into ExploreApp

Add a binding in `ExploreApp`:
- Key: `s`  
- Action: `push_screen(StatsScreen(self.repo))`
- Description: "Stats"

Add the `action_stats` method (or use inline push_screen in the binding).

### 4. Check the existing CSS

There's a `explore.css` file (referenced as `CSS_PATH`). Read it before making any CSS changes. If you need to add styles for `StatsScreen`, add them there. Keep it minimal — just ensure the chart fills the available space.

## Important notes on textual-plotext

The `PlotextPlot` widget from `textual_plotext` works like this:

```python
from textual_plotext import PlotextPlot

class MyScreen(Screen):
    def compose(self):
        yield PlotextPlot()
    
    def on_mount(self):
        plt = self.query_one(PlotextPlot)
        plt.plt.plot([1,2,3], [4,5,6])
        plt.plt.title("My chart")
        plt.refresh()
```

The inner `plt.plt` is the plotext module itself. For multiple lines:
```python
plt.plt.plot(x_values, y_values, label="project-name")
```

For date x-axis with plotext, pass the dates as strings — plotext handles string x-axis labels.

## Read these files first before editing
- `src/convx_ai/tui.py` (full file)
- `src/convx_ai/cli.py` (to see patterns)  
- The CSS file referenced in tui.py

Do NOT break existing functionality. Only add the new `StatsScreen` class and the binding to `ExploreApp`.

## Agent

_`2026-02-24T17:19:27.898Z`_

I'll help you add a stats/chart screen to the existing Textual TUI. Let me start by reading the relevant files to understand the current structure.

## Agent

_`2026-02-24T17:19:32.622Z`_

Now let me check the CSS file to understand the styling.

## Agent

_`2026-02-24T17:19:37.787Z`_

Now let me check if the `compute_word_series` function already exists.

## Agent

_`2026-02-24T17:19:42.786Z`_

Perfect. Now I understand the structure. Let me implement the solution step by step:

1. First, add `textual-plotext` to dependencies
2. Create the `stats.py` module with `compute_word_series` function
3. Add the `StatsScreen` to `tui.py`
4. Wire it into `ExploreApp`

Let's start:

## 1. Add textual-plotext to pyproject.toml

## Agent

_`2026-02-24T17:19:46.087Z`_

## 2. Install the dependency

## Agent

_`2026-02-24T17:19:53.761Z`_

Great! Now let me check the search module to understand how list_sessions works and what the session data looks like.

## Agent

_`2026-02-24T17:19:55.753Z`_

Now let me check an example markdown file to understand how word count can be calculated:

## Agent

_`2026-02-24T17:20:01.292Z`_

Now I'll create the stats module with the `compute_word_series` function.

## 3. Create stats.py module

## Agent

_`2026-02-24T17:20:25.342Z`_

The file already exists! Let me read it first.

## Agent

_`2026-02-24T17:20:29.379Z`_

Perfect! The `compute_word_series` function already exists and is much more sophisticated than what I was planning to write. It reads from the hidden JSON blobs and fills date gaps. Now I just need to add the `StatsScreen` to the TUI.

## 4. Add StatsScreen to tui.py

## Agent

_`2026-02-24T17:20:36.305Z`_

Now add the StatsScreen class before the ExploreApp class:

## Agent

_`2026-02-24T17:20:54.378Z`_

Now add the keybinding and action to ExploreApp:

## Agent

_`2026-02-24T17:21:02.825Z`_

Now add the action method at the end of the ExploreApp class:

## Agent

_`2026-02-24T17:21:06.716Z`_

Now let's add some basic CSS for the stats screen to ensure proper layout:

## Agent

_`2026-02-24T17:21:12.033Z`_

Now let's test the implementation by running the TUI:

## Agent

_`2026-02-24T17:21:23.475Z`_

Great! The TUI is launching successfully. The timeout killed it after 3 seconds, but we can see it's rendering the UI properly. Let me write a quick test script to verify the stats functionality works:

## Agent

_`2026-02-24T17:21:34.569Z`_

The history is in a different location. Let me find it:

## Agent

_`2026-02-24T17:21:40.412Z`_

Good! Now let me test again with the correct path:

## Agent

_`2026-02-24T17:21:45.580Z`_

Perfect! The stats function is working correctly. Now let's create a simple unit test to verify the TUI screen logic works:

## Agent

_`2026-02-24T17:21:53.356Z`_

Excellent! Now let's run the actual tests to make sure we didn't break anything:

## Agent

_`2026-02-24T17:21:57.479Z`_

Perfect! All tests pass. Now let's verify the final implementation by reading the modified file:

## Agent

_`2026-02-24T17:22:01.014Z`_

Perfect! Let me also check the CSS file to confirm the styles are in place:

## Agent

_`2026-02-24T17:22:05.384Z`_

Excellent! Now let's verify the pyproject.toml has the dependency:

## Agent

_`2026-02-24T17:22:07.558Z`_

Perfect! Let me create a comprehensive test of the stats screen functionality:

## Agent

_`2026-02-24T17:22:37.623Z`_

Perfect! Now let me create a summary document showing what was implemented:

## Summary

I have successfully added a stats/chart screen to the existing Textual TUI in the convx project. Here's what was implemented:

### Files Modified

**1. `/Users/pascal/Code/business/convx/pyproject.toml`**
- Added `textual-plotext>=1.0` to dependencies list
- Dependency installed successfully via `uv sync`

**2. `/Users/pascal/Code/business/convx/src/convx_ai/tui.py`**
- Added imports for `Screen`, `PlotextPlot`, and `compute_word_series`
- Created new `StatsScreen` class (lines 66-143) with:
  - Loading state that shows "Loading statistics..." message
  - Background data loading using `@work` decorator and `run_in_executor`
  - Multi-line plotext chart rendering with automatic x-axis label spacing
  - Support for multiple projects as separate lines on the chart
  - Escape/Q key bindings to return to main screen
- Added "s" keybinding to `ExploreApp.BINDINGS` (line 151)
- Added `action_stats()` method to `ExploreApp` (lines 275-276)

**3. `/Users/pascal/Code/business/convx/src/convx_ai/explore.css`**
- Added `#stats_chart` style to fill available vertical space
- Added `#stats_loading` style with centered text alignment

### Existing Code Leveraged

**`/Users/pascal/Code/business/convx/src/convx_ai/stats.py`** (already existed)
- The `compute_word_series()` function was already implemented
- Returns data structure with dates, projects, and series
- Reads from hidden JSON blobs in the history directory
- Fills date gaps to create continuous time series

### How It Works

1. User presses `s` in the ExploreApp
2. `StatsScreen` is pushed onto the screen stack
3. Loading message displays immediately
4. `compute_word_series()` runs in background thread (non-blocking)
5. Once data loads, chart is rendered with:
   - X-axis: dates (automatically spaced to show ~8-10 labels)
   - Y-axis: word count
   - One line per project
   - Title: "Words per project per day"
6. User can press `escape` or `q` to return to the main screen

### Testing

- All existing tests pass (44/44)
- Manual verification shows:
  - Stats function correctly parses 8 days of data
  - Identifies 2 projects (".codex" and "convx")
  - Computes word counts correctly
  - TUI launches and renders properly
  - Bindings are correctly registered

### Key Features

- **Non-blocking**: Uses async worker to avoid freezing the UI during data computation
- **Responsive**: X-axis labels auto-adjust based on data density
- **Multiple projects**: Each project gets its own colored line
- **Clean UX**: Loading state → chart transition is smooth
- **Proper error handling**: Gracefully handles empty data sets

The implementation follows all functional programming principles, uses type hints, leverages the existing async patterns in the codebase, and maintains the clean architecture of the project.
