# Conversation 4386297b-5517-490e-b0f7-1d9784e2f37e

- Source: `claude`
- User: `pascal`
- System: `Pascals-MBP.local`
- Started: `2026-02-24T17:14:30.978Z`
- CWD: `/Users/pascal/Code/business/convx`

## User

_`2026-02-24T17:14:30.978Z`_

How difficult would it be for us now that we have what we have to visualize when you do a full export for example? how much work in number of tokens or number of characters has gone into each of the different projects? Over time. So to kind of have like a timeline of a bunch of lines showing kind of the history of the amount of work that occurred in the different repositories. because once we have a full export, we should be able to say how much text has has been I mean we could just do character counting or something, right?

but how much yeah work has been performed in the different projects. Can you tell me how you would build that?

## Agent

_`2026-02-24T17:15:03.867Z`_

This is quite feasible given what's already exported. Let me walk through how I'd approach it.

**Data already available:**

Each exported session JSON blob contains:
- The `cwd` (which project it belongs to)
- A timestamp (`started_at` or similar)
- All messages with their content

So the raw material is there — you just need to read, aggregate, and plot.

**The aggregation logic:**

```
for each .json blob in history/
  → extract: project_cwd, started_at, sum(len(msg.content) for all messages)
  → bucket by day/week
  → accumulate per project over time
```

That's maybe 50-80 lines of Python.

**The output:**

A cumulative line chart where:
- X = time
- Y = cumulative characters (or token estimate: chars / 4)
- One line per unique `cwd`

**Library choice:**

- `plotly` → interactive HTML, hover to see session details, zoom — best fit for this
- `matplotlib` → static PNG, simpler dependency
- Raw CSV → let the user open it in any tool

**Where to put it:**

Either a new `convx stats` / `convx viz` CLI subcommand, or a standalone script. A subcommand would be cleaner since it can reuse the existing index/adapter infrastructure.

**The main unknowns before building:**

1. Do the exported JSON blobs reliably have timestamps? (worth checking a few)
2. Is `cwd` always present and consistent enough to group by? (or should we group by repo name instead)
3. Do you want cumulative (total work ever) or per-period (work done each week)?

Want me to check the actual JSON blob structure to confirm what fields are available, then we can decide on scope?

## User

_`2026-02-24T17:15:58.215Z`_

Is there also any way that we can plot this in our explore tui so that we don't have to have like so we don't have render that to some PNG or something? or is this best done in a web interface?

## Agent

_`2026-02-24T17:16:32.717Z`_

You already have a Textual TUI. Good news: this is well-suited for in-TUI charts.

**The option: `textual-plotext`**

There's a first-party Textual widget (`textual-plotext`) that embeds `plotext` charts directly as Textual widgets. Plotext uses Unicode braille characters to render line charts — the resolution is roughly 2× terminal width × 4× terminal height in "pixels", so a 100-char wide panel gives you ~200 data points horizontally. For a timeline with a handful of project lines, that's plenty.

It looks like this in practice:

```
⣿⣿⠿⠛⠋  ╮  project-a ───
⣿⣿⡀⠀⠀  │  project-b ───
⠛⠻⣿⣿⡄  ╯
```

(roughly — Unicode braille dots form smooth curves)

**The tradeoff vs. web:**

| | Textual + plotext | HTML/Plotly |
|---|---|---|
| Stays in terminal | yes | no |
| Hover tooltips | no | yes |
| Mouse zoom/pan | no | yes |
| Resolution | ~medium | pixel-perfect |
| Dependencies | small | heavier |

For "which project got how much work over time" — the terminal version is absolutely good enough. You don't need hover precision for that kind of bird's-eye view.

**How it would fit in:**

Add a new tab or screen to the existing Textual app. The `PlotextPlot` widget renders inline. You'd build a `StatsScreen` or a toggled panel that reads the exported JSON blobs, aggregates by project + time bucket, then feeds the series to plotext.

The integration is maybe 100-150 lines total. Want me to prototype it?

## User

_`2026-02-24T17:17:28.953Z`_

Okay, so maybe let's do two things. One, just kick off a subagent that does the actual kind of data wrangling and gives us these data points. So kind of a per day, I guess what do we need? We need a series of data points of number of words per day per project. and then once we have that. define the kind of what does the target data look like and then you can kick off two work streams at the same time.

One which is actually calculates the like does the calculation and the second one which is updating the UI to create the UI component or capability. And I would say for now let's stay in the in the terminal.

## Agent

_`2026-02-24T17:17:36.660Z`_

Let me first explore the data structures so we can define the target format before splitting the work.

## Agent

_`2026-02-24T17:18:27.223Z`_

Good — the data is clear. Now I can define the target format precisely, then launch both agents.

## Agent

_`2026-02-24T17:18:45.581Z`_

Now I have everything needed. Here's the target data contract both agents will share:

```python
# src/convx_ai/stats.py  — returned by compute_word_series()
{
    "dates":    ["2026-01-01", "2026-01-02", ...],   # sorted YYYY-MM-DD
    "projects": ["convx", "other-repo", ...],         # cwd basenames, sorted
    "series":   {
        "convx":      [0, 142, 0, 88, ...],           # words per date, aligned to dates
        "other-repo": [0,   0, 55,  0, ...],
    }
}
```

Rules: date from `started_at`, project = `Path(cwd).name`, words = `sum(len(msg.text.split()) for msg if msg.kind in ("user", "assistant"))`, scan all `.*.json` blobs under `history/` recursively.

Launching both agents now.

## Agent

_`2026-02-24T17:21:40.806Z`_

The data aggregation agent is done — `stats.py` and the `word-stats` CLI command are built and all 44 tests pass. The TUI agent is still working on the chart screen. I'll let you know when it finishes so we can merge both branches.

## User

_`2026-02-24T17:22:37.706Z`_

<task-notification>
<task-id>a8de2ac1fa4041c96</task-id>
<tool-use-id>toolu_vrtx_01Ujjk79WsnjG8YTETGbx8Gi</tool-use-id>
<status>completed</status>
<summary>Agent "Build TUI stats screen with plotext chart" completed</summary>
<result>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.</result>
<usage><total_tokens>56054</total_tokens><tool_uses>34</tool_uses><duration_ms>192239</duration_ms></usage>
</task-notification>
Full transcript available at: /private/tmp/claude-501/-Users-pascal-Code-business-convx/tasks/a8de2ac1fa4041c96.output

## Agent

_`2026-02-24T17:22:40.603Z`_

Both agents are done. They worked in isolated git worktrees so I need to merge them. Let me check the branches.

## Agent

_`2026-02-24T17:23:19.317Z`_

Both agents made their changes directly to the main working tree. Everything is unstaged. Let me verify the key files look correct before presenting the result.

## Agent

_`2026-02-24T17:23:24.613Z`_

Looks solid. Let me run the tests to verify everything works together.

## Agent

_`2026-02-24T17:23:37.647Z`_

44/44 passing. Here's what landed:

**`src/convx_ai/stats.py`** — new module, pure stdlib:
- `compute_word_series(history_path)` scans all `.*.json` blobs, counts words from `user`/`assistant` messages only, fills date gaps with zeros, returns the date/project/series dict

**`src/convx_ai/tui.py`** — `StatsScreen` added:
- Loads data in a background worker (non-blocking)
- Shows "Loading..." label while fetching, then swaps in a `PlotextPlot` chart
- Multi-line chart, one line per project, auto-spaced x-axis labels (~10 labels)
- Press `s` from the explore view to open it, `escape`/`q` to go back

**`pyproject.toml`** — `textual-plotext>=1.0` added

**`convx word-stats`** — new CLI command for a plain text table if you want it without launching the TUI

## User

_`2026-02-24T17:24:47.879Z`_

how would this work on tmp/history? and RN I just see this

❯ convx word-stats --repo tmp
  Date    .co…    .ne…    Code    Dow…    ai-…    bio…    can…    cli…    con…    core    cor…    dat…    dev    eve…    home    mat…    mat…    med…    new…    ope…    orc…    pro…    rec…    rep…    tem…    un…  
 I     ~/Code/business/convx   main ⇣1 +3 !5 ?3 

## Agent

_`2026-02-24T17:25:36.671Z`_

Two issues here:

1. **`--repo tmp`** — that works as-is. It appends `/history` to whatever you pass, so `--repo tmp` looks at `tmp/history/`. If your backup lives at `tmp/`, that's the right invocation.

2. **The table** — it's broken for real use. The problem is: one column per project = unusable when you have 20+ repos, and the project names (`Path(cwd).name`) are garbage — you get `Code`, `Downloads`, `.codex` etc. when cwd was a parent dir.

The table needs to be **pivoted** — rows should be projects (with totals), not dates as rows and projects as columns. Let me fix it:

## Agent

_`2026-02-24T17:25:52.902Z`_

Now the output is a ranked list — one row per project:

```
Project        Total words   Active days   Last active
─────────────────────────────────────────────────────
convx               45,231            12  2026-02-19
myapp                8,102             4  2026-02-15
...
```

Regarding the **`--repo tmp`** path — it works, but note: if your backup history contains paths like `history/pascal/claude/<machine>/Code/business/convx/`, then `Path(cwd).name` on `cwd = "/Users/pascal/Code/business/convx"` gives `convx` which is correct. But if some sessions had cwd pointing at a parent dir (e.g. `/Users/pascal/Code`), you'd get `Code` as a project name — that's a data quality issue in the sessions themselves, not something we can fully fix here.

## User

_`2026-02-24T17:25:55.418Z`_

where is the graph?

## Agent

_`2026-02-24T17:26:05.476Z`_

The graph lives inside the TUI. Run:

```bash
convx explore --repo tmp
```

Then press **`s`** to open the stats screen with the chart. Press `escape` or `q` to go back to the session list.

## User

_`2026-02-24T17:26:53.087Z`_

ok better... let's do "top 10" + "others" and have 11 distinct colors. sort by count of work DESC

## Agent

_`2026-02-24T17:27:20.220Z`_

Done. Changes:
- Ranks all projects by total words, takes the top 10
- Sums everything else into a single `"others"` line
- Assigns one of 11 distinct colors (`red`, `green`, `blue`, `yellow`, `magenta`, `cyan`, `orange`, `pink`, `violet`, `lime`, `white`) in rank order
- Title updated to reflect the grouping

Press `s` in the explore TUI to see it.

## User

_`2026-02-24T17:27:46.035Z`_

it's also not at all obvious that that feature exists... again, check TUI best practices on how to build a TUI but I'd expect some header/footer that explains how to navigate around/what screens exist etc

## Agent

_`2026-02-24T17:28:05.165Z`_

Textual has built-in `Header` and `Footer` widgets made exactly for this — `Footer` auto-renders all `show=True` bindings as a key legend. Just need to add them to both screens.

## Agent

_`2026-02-24T17:28:31.590Z`_

Done. Both screens now have:

- **Header** — top bar showing the app/screen title (`convx · AI session explorer` on the main screen, `Word count by project` on the stats screen)
- **Footer** — bottom bar that auto-renders the visible bindings as `^Key  Description` chips

The footer on the main screen will show: `Escape  Clear search` · `Q  Quit` · `S  Stats`. On the stats screen: `Escape  Back`.

## User

_`2026-02-24T17:28:41.631Z`_

can we make it a bar chart not a line chart? and group by day if the history is less than 30d and week if the history is longer?

## Agent

_`2026-02-24T17:29:46.406Z`_

Done. Changes:

- **Stacked bar** — `plt.stacked_bar()` replaces `plt.plot()`, each project is a stacked segment so you see total height (all work) and color breakdown simultaneously
- **Auto-bucketing** — `len(dates) > 30` → weekly ISO buckets (`2026-W08`), otherwise daily; the title updates to reflect which is active
- **Weekly aggregation** happens in `_bucket_weekly()` which sums daily values into their ISO week

## User

_`2026-02-24T17:30:06.997Z`_

│   172 │   │   bar_colors = list(_COLORS[: len(plot_series)])                                                                                                                                                       │
│   173 │   │   bar_labels = [label for label, _ in plot_series]                                                                                                                                                     │
│   174 │   │                                                                                                                                                                                                        │
│ ❱ 175 │   │   chart.plt.stacked_bar(x_labels, bar_data, color=bar_colors, label=bar_labels)                                                                                                                        │
│   176 │   │   chart.plt.title(f"Words per project per {period}  (top 10 + others)")                                                                                                                                │
│   177 │   │   chart.plt.xlabel(period.capitalize())                                                                                                                                                                │
│   178 │   │   chart.plt.ylabel("Word count")                                                                                                                                                                       │
│                                                                                                                                                                                                                    │
│ ╭──────────────────────────────────────────────────────────────────────────────────────────── locals ─────────────────────────────────────────────────────────────────────────────────────────────╮                │
│ │     _COLORS = ['red', 'green', 'blue', 'yellow', 'magenta', 'cyan', 'orange', 'pink', 'violet', 'lime', ... +1]                                                                                 │                │
│ │  bar_colors = ['red', 'green', 'blue', 'yellow', 'magenta', 'cyan', 'orange', 'pink', 'violet', 'lime', ... +1]                                                                                 │                │
│ │    bar_data = [                                                                                                                                                                                 │                │
│ │               │   [2731, 12642, 0, 14289, 3060, 5364, 13160, 31609, 0, 18488, ... +73],                                                                                                         │                │
│ │               │   [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, ... +73],                                                                                                                                      │                │
│ │               │   [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, ... +73],                                                                                                                                      │                │
│ │               │   [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, ... +73],                                                                                                                                      │                │
│ │               │   [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, ... +73],                                                                                                                                      │                │
│ │               │   [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, ... +73],                                                                                                                                      │                │
│ │               │   [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, ... +73],                                                                                                                                      │                │
│ │               │   [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, ... +73],                                                                                                                                      │                │
│ │               │   [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, ... +73],                                                                                                                                      │                │
│ │               │   [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, ... +73],                                                                                                                                      │                │
│ │               │   ... +1                                                                                                                                                                        │                │
│ │               ]                                                                                                                                                                                 │                │
│ │  bar_labels = ['matrix', 'evidence-api', 'universal-net-calc', 'orchard', 'biotech-os', 'website_v2', 'prototypes', 'newcohorts.com', 'ms-deep-dive', 'medical-mcps', ... +1]                   │                │
│ │       chart = PlotextPlot(id='stats_chart')                                                                                                                                                     │                │
│ │        data = {                                                                                                                                                                                 │                │
│ │               │   'dates': ['2024-07-29', '2024-07-30', '2024-07-31', '2024-08-01', '2024-08-02', '2024-08-03', '2024-08-04', '2024-08-05', '2024-08-06', '2024-08-07', ... +565],              │                │
│ │               │   'projects': [                                                                                                                                                                 │                │
│ │               │   │   'DiscourseCrawler',                                                                                                                                                       │                │
│ │               │   │   'Downloads',                                                                                                                                                              │                │
│ │               │   │   'KGML-xDTD',                                                                                                                                                              │                │
│ │               │   │   'ORION',                                                                                                                                                                  │                │
│ │               │   │   'Programming Challenge Submissions',                                                                                                                                      │                │
│ │               │   │   'RTX-KG2',                                                                                                                                                                │                │
│ │               │   │   'agent-a0e26f51',                                                                                                                                                         │                │
│ │               │   │   'agent-a982a4cc',                                                                                                                                                         │                │
│ │               │   │   'ai-skills',                                                                                                                                                              │                │
│ │               │   │   'amsel-crawl',                                                                                                                                                            │                │
│ │               │   │   ... +113                                                                                                                                                                  │                │
│ │               │   ],                                                                                                                                                                            │                │
│ │               │   'series': {                                                                                                                                                                   │                │
│ │               │   │   'DiscourseCrawler': [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, ... +565],                                                                                                             │                │
│ │               │   │   'Downloads': [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, ... +565],                                                                                                                    │                │
│ │               │   │   'KGML-xDTD': [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, ... +565],                                                                                                                    │                │
│ │               │   │   'ORION': [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, ... +565],                                                                                                                        │                │
│ │               │   │   'Programming Challenge Submissions': [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, ... +565],                                                                                            │                │
│ │               │   │   'RTX-KG2': [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, ... +565],                                                                                                                      │                │
│ │               │   │   'agent-a0e26f51': [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, ... +565],                                                                                                               │                │
│ │               │   │   'agent-a982a4cc': [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, ... +565],                                                                                                               │                │
│ │               │   │   'ai-skills': [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, ... +565],                                                                                                                    │                │
│ │               │   │   'amsel-crawl': [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, ... +565],                                                                                                                  │                │
│ │               │   │   ... +113                                                                                                                                                                  │                │
│ │               │   }                                                                                                                                                                             │                │
│ │               }                                                                                                                                                                                 │                │
│ │       dates = ['2024-07-29', '2024-07-30', '2024-07-31', '2024-08-01', '2024-08-02', '2024-08-03', '2024-08-04', '2024-08-05', '2024-08-06', '2024-08-07', ... +565]                            │                │
│ │      others = [1568, 0, 295, 0, 0, 0, 0, 0, 639, 0, ... +565]                                                                                                                                   │                │
│ │      period = 'week'                                                                                                                                                                            │                │
│ │ plot_series = [                                                                                                                                                                                 │                │
│ │               │   ('matrix', [2731, 12642, 0, 14289, 3060, 5364, 13160, 31609, 0, 18488, ... +73]),                                                                                             │                │
│ │               │   ('evidence-api', [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, ... +73]),                                                                                                                    │                │
│ │               │   ('universal-net-calc', [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, ... +73]),                                                                                                              │                │
│ │               │   ('orchard', [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, ... +73]),                                                                                                                         │                │
│ │               │   ('biotech-os', [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, ... +73]),                                                                                                                      │                │
│ │               │   ('website_v2', [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, ... +73]),                                                                                                                      │                │
│ │               │   ('prototypes', [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, ... +73]),                                                                                                                      │                │
│ │               │   ('newcohorts.com', [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, ... +73]),                                                                                                                  │                │
│ │               │   ('ms-deep-dive', [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, ... +73]),                                                                                                                    │                │
│ │               │   ('medical-mcps', [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, ... +73]),                                                                                                                    │                │
│ │               │   ... +1                                                                                                                                                                        │                │
│ │               ]                                                                                                                                                                                 │                │
│ │    projects = ['DiscourseCrawler', 'Downloads', 'KGML-xDTD', 'ORION', 'Programming Challenge Submissions', 'RTX-KG2', 'agent-a0e26f51', 'agent-a982a4cc', 'ai-skills', 'amsel-crawl', ... +113] │                │
│ │      ranked = ['matrix', 'evidence-api', 'universal-net-calc', 'orchard', 'biotech-os', 'website_v2', 'prototypes', 'newcohorts.com', 'ms-deep-dive', 'medical-mcps', ... +113]                 │                │
│ │        rest = ['reconnct.us', 'issue-tree', 'ai-skills', 'corporate-homepage', 'stelliosbeach', 'matrix-ui', 'repurposing-stories', 'ec-blog-astrowind', 'everycure', 'core', ... +103]         │                │
│ │        self = StatsScreen()                                                                                                                                                                     │                │
│ │      series = {                                                                                                                                                                                 │                │
│ │               │   'DiscourseCrawler': [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, ... +565],                                                                                                                 │                │
│ │               │   'Downloads': [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, ... +565],                                                                                                                        │                │
│ │               │   'KGML-xDTD': [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, ... +565],                                                                                                                        │                │
│ │               │   'ORION': [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, ... +565],                                                                                                                            │                │
│ │               │   'Programming Challenge Submissions': [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, ... +565],                                                                                                │                │
│ │               │   'RTX-KG2': [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, ... +565],                                                                                                                          │                │
│ │               │   'agent-a0e26f51': [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, ... +565],                                                                                                                   │                │
│ │               │   'agent-a982a4cc': [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, ... +565],                                                                                                                   │                │
│ │               │   'ai-skills': [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, ... +565],                                                                                                                        │                │
│ │               │   'amsel-crawl': [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, ... +565],                                                                                                                      │                │
│ │               │   ... +113                                                                                                                                                                      │                │
│ │               }                                                                                                                                                                                 │                │
│ │       top10 = ['matrix', 'evidence-api', 'universal-net-calc', 'orchard', 'biotech-os', 'website_v2', 'prototypes', 'newcohorts.com', 'ms-deep-dive', 'medical-mcps']                           │                │
│ │      totals = {                                                                                                                                                                                 │                │
│ │               │   'DiscourseCrawler': 10621,                                                                                                                                                    │                │
│ │               │   'Downloads': 335,                                                                                                                                                             │                │
│ │               │   'KGML-xDTD': 170,                                                                                                                                                             │                │
│ │               │   'ORION': 932,                                                                                                                                                                 │                │
│ │               │   'Programming Challenge Submissions': 725,                                                                                                                                     │                │
│ │               │   'RTX-KG2': 186,                                                                                                                                                               │                │
│ │               │   'agent-a0e26f51': 302,                                                                                                                                                        │                │
│ │               │   'agent-a982a4cc': 207,                                                                                                                                                        │                │
│ │               │   'ai-skills': 57712,                                                                                                                                                           │                │
│ │               │   'amsel-crawl': 14761,                                                                                                                                                         │                │
│ │               │   ... +113                                                                                                                                                                      │                │
│ │               }                                                                                                                                                                                 │                │
│ │  use_weekly = True                                                                                                                                                                              │                │
│ │    x_labels = ['2024-W31', '2024-W32', '2024-W33', '2024-W34', '2024-W35', '2024-W36', '2024-W37', '2024-W38', '2024-W39', '2024-W40', ... +73]                                                 │                │
│ ╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯                │
╰────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
TypeError: _figure_class.stacked_bar() got an unexpected keyword argument 'label'

## Agent

_`2026-02-24T17:30:38.442Z`_

The `stacked_bar` in plotext doesn't accept `label`. Let me check the actual signature and fix it properly — I'll also add a Rich-rendered text legend below the chart since plotext stacked bars have no built-in legend support.

## Agent

_`2026-02-24T17:31:34.202Z`_

Simple fix — it's `labels=` not `label=`.

## Agent

_`2026-02-24T17:31:41.169Z`_

That should render the legend automatically in the top-left corner of the plot canvas (plotext handles it as long as the terminal is wide enough).

---

Noted on `CONVX_NO_SYNC`. Is that an env var you want the tool to respect — i.e., if set, skip syncing this repo when running backup/sync? Or is it a reminder for yourself and nothing needs to change in the code?

## User

_`2026-02-24T17:34:43.379Z`_

are we stacking bars? and why are they not all cleanly starting at 0.0? is this the best TUI chart library we got?

## Agent

_`2026-02-24T17:35:33.531Z`_

Honest answers:

1. **Yes, they are stacked** — the colors are cumulative segments on top of each other. It's working correctly, just looks grouped at low values because the bars are narrow.

2. **The "not starting at 0" issue** — two problems: the y-axis labels are floats (plotext computes tick positions as fractions of the range, giving `191029.0`, `127352.7` etc.), and thin bars at low values render as floating single-character blocks — a fundamental character-cell resolution artifact.

3. **Is plotext the best?** — It's the standard for Python/Textual integration. The alternatives are: write a custom Rich markup renderer (full control, more work), or accept the resolution limits of character-cell drawing. There's no obviously better drop-in. The rough edges you're seeing — decimal y-axis, 1-char minimum bar height — are inherent to terminal rendering at this resolution.

The y-axis decimals are fixable. Let me do that:

## Agent

_`2026-02-24T17:35:49.448Z`_

That fixes the decimal y-axis — it now computes 6 evenly-spaced integer ticks and formats them with commas (e.g. `127,352` instead of `127352.7`).

The floating single-pixel bars at low values are unavoidable in character-cell rendering — a bar with 500 words in a week where the max is 400k simply can't render as anything shorter than one character row. That's a fundamental terminal limitation, not a plotext bug.

## User

_`2026-02-24T17:39:37.515Z`_

OK... let's swap to a temporarily hosted web interface then. what's lightweight but still comes out neat? I'd like a simple shadcn static website dashboard that shows
- Area Chart - Stacked Expanded for the distribution of work in the different repos => Shows the % share nicely over time
- Area Chart - Stacked => shows total volume growth over time

As a starting point. 
https://ui.shadcn.com/charts/area
can you propose how to build this lean & easy?

## Agent

_`2026-02-24T17:40:22.564Z`_

The leanest path that gives you real shadcn charts:

**Stack:** Vite + React + Recharts (shadcn charts ARE just Recharts + a thin CSS-variable wrapper — no need for `shadcn init`, just copy the ~50-line `ChartContainer` primitive and install `recharts`)

**Structure:**
```
dashboard/
  src/
    main.tsx
    App.tsx          # two chart components, ~100 lines total
    chart.tsx        # shadcn ChartContainer primitive (copy-paste from their source)
  public/
    data.json        # generated by convx
  package.json       # react, recharts, vite — nothing else
  index.html
```

**Data shape** (small transform from what `compute_word_series` already returns):
```json
[
  { "week": "2024-W31", "matrix": 12400, "convx": 3100, "others": 800 },
  { "week": "2024-W32", ... }
]
```
Recharts reads row-objects. For the expanded chart, normalize each row to percentages in JS — no backend change needed.

**CLI integration** — new `convx dashboard --repo PATH` command that:
1. Calls `compute_word_series()`, transforms to row-objects, writes `dashboard/public/data.json`
2. Runs `vite --root dashboard/` via `subprocess` so one command does everything

**Dependencies** (only 3):
- `vite` + `@vitejs/plugin-react`  
- `recharts`
- `react` + `react-dom`

---

Two options for how to proceed:

1. **Build it now** — I scaffold `dashboard/` + add the `convx dashboard` CLI command
2. **You drive the frontend** — I just add the `convx stats-export` command that writes the JSON, and you build the React side yourself

Which do you prefer, and should `dashboard/` live inside the convx repo or as a separate folder?

## User

_`2026-02-24T17:45:09.602Z`_

doesn't that then require npm/node?

## Agent

_`2026-02-24T17:45:32.382Z`_

Yes, Vite requires Node. The truly lean alternative — no Node, no build step, no server:

**Generate a single self-contained `dashboard.html`** from Python. The file embeds the data as a JS variable and loads a charting library from CDN. Open it directly in the browser — no server needed.

**Best CDN chart library for this:** **Apache ECharts** — supports stacked area + stacked expanded area natively, looks sharp, one `<script>` tag, ~1MB CDN load.

The whole thing is a new `convx dashboard` CLI command that:
1. Calls `compute_word_series()` 
2. Transforms to the row format ECharts needs
3. Renders a Python template string → writes `dashboard.html`
4. Opens it with `webbrowser.open()`

Output is a **single portable file** — share it, email it, open it offline. No npm, no server, no dependencies beyond what's already in the repo.

Rough sketch of the HTML it generates:
```html
<script src="https://cdn.jsdelivr.net/npm/echarts@5/dist/echarts.min.js"></script>
<script>
  const data = { /* embedded JSON */ };
  echarts.init(document.getElementById('chart1')).setOption({ /* stacked area */ });
  echarts.init(document.getElementById('chart2')).setOption({ /* expanded */ });
</script>
```

Styling can be Tailwind CDN + a dark/light theme that matches shadcn's aesthetic closely (CSS variables, Inter font, same border-radius/color tokens).

Want me to build it?

## User

_`2026-02-24T17:45:32.535Z`_

is there any way we can distribute a static version of this through our python wheel?

## Agent

_`2026-02-24T17:45:50.755Z`_

Yes, trivially — two options:

**Option A: Inline template string** (zero config)

The HTML template is just a Python string in `dashboard.py`. Since ECharts loads from CDN and the data is embedded at generation time, there are literally no static assets — just one big `"""..."""` string. Already distributes in the wheel with no extra config.

**Option B: Package data file** (cleaner if template grows)

Put the template at `src/convx_ai/templates/dashboard.html`. Hatchling (your build backend) includes all files under the package directory automatically — no `MANIFEST.in`, no extra pyproject config needed. Read it at runtime with:

```python
from importlib.resources import files
template = files("convx_ai.templates").joinpath("dashboard.html").read_text()
```

Either way, `convx dashboard --repo PATH` generates the file locally by filling the template with the user's data. The CDN (`cdn.jsdelivr.net/npm/echarts@5`) handles the JS — nothing to bundle.

Given the template will be ~150 lines of HTML/JS, I'd go **Option A** to start — inline string, no packaging ceremony. Easy to extract to a file later if it gets unwieldy.

Want me to build it?

## User

_`2026-02-24T17:57:23.627Z`_

❯ what about at dev time: vite, full npm ecosystem but we can iterate on the UI look and do live dev reload etc 
  when we build, we invoke npm run build. it packages a fully treeshaked static web app (do we use react or overkill?) and store that in a dir that hatchling then static packs                                       
  when we launch e.g. `convx explore` we replace TUI fully with a web interface that does 1) search 2) stats.                                                                                                         
                                                                                                                                                                                                                      
  We should have a nice structure of the web interface though. I like simple shadcn dashbaord templates.   
can you search for the right components to use and briefly outlay the plan to build this?

## User

_`2026-02-24T17:57:26.018Z`_

[Request interrupted by user]

## User

_`2026-02-24T17:57:33.337Z`_

actually let's plan this properly in plan mode

## Agent

_`2026-02-24T17:57:41.916Z`_

Let me explore the codebase and shadcn components in parallel before designing the plan.

## Agent

_`2026-02-24T17:59:03.074Z`_

Good, let me check the existing package.json and pyproject.toml before writing the plan.

## Agent

_`2026-02-24T17:59:51.063Z`_

Now I have enough to write a solid plan.

## User

_`2026-02-24T18:06:06.310Z`_

[Request interrupted by user for tool use]
