Improve callgraph (#8)

.github/workflows/pages.yml

@@ -24,8 +24,9 @@ jobs:
         with:
           pixi-version: v0.25.0
           cache: true
-          environments: build docs
+          environments: build docs test test-oldest
       - run: pixi run dist
+      - run: pixi run test
       - run: pixi run docs-lite
       - run: pixi run docs
       - uses: actions/upload-pages-artifact@v3

README.md

@@ -16,6 +16,8 @@
 
 ## Install
 
+### From PyPI
+
 > **This package is not yet released.**
 >
 > ```bash
@@ -30,4 +32,9 @@
 
 ## Screenshots
 
-> TODO
+| note                                                                |           screenshot            |
+| ------------------------------------------------------------------- | :-----------------------------: |
+| viewing `pyinstrument` profile data with `speedscope` and `mermaid` | [![screenshot-1]][screenshot-1] |
+
+[screenshot-1]:
+  https://private-user-images.githubusercontent.com/45380/348560542-ea0f7649-e35e-482b-971b-80d54ec2678d.png?jwt=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.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.28eNu41jxBbyNIJB-KxQHFqBJJGa2MLOXbdNkjI1V00

docs/conf.py

@@ -17,6 +17,7 @@
 ROOT = HERE.parent
 PYPROJ = ROOT / "pyproject.toml"
 PIXI = ROOT / "pixi.toml"
+REPORTS = ROOT / "build/reports"
 
 if os.getenv(RTD) == "True":
     # provide a fake root doc
@@ -51,6 +52,7 @@ def _run_pixi(*_args: Any) -> None:
     )
 
     intersphinx_mapping = {k: (v, None) for k, v in _intersphinx_mapping.items()}
+    REPORTS.mkdir(parents=True, exist_ok=True)
 
 
 # RTD will inject more config below here

examples/files/02_python.ipynb

@@ -5,7 +5,7 @@
    "id": "b82ac82a-e6d5-4f74-8be8-c5e5aa095be6",
    "metadata": {},
    "source": [
-    "## Profiling Python\n",
+    "# Profiling Python\n",
     "\n",
     "Python (and `IPython`) provide built-in tools for profiling, enhanced for interactive computing by `IPython`', with a number of third-party tools like `pyinstrument` that refine and extend these tools. `ipyprofile` provides [`Pyinstrument`](#Pyinstrument), building on top of these tools."
    ]
@@ -66,18 +66,6 @@
     "This magic also cannot handle \"top-level `await`\", increasingly seen even in interactive computing. "
    ]
   },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "0c2df3cc-1d8e-483f-96d8-4032fd30be48",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import asyncio\n",
-    "\n",
-    "loop = asyncio.get_running_loop()"
-   ]
-  },
   {
    "cell_type": "markdown",
    "id": "eab89b16-34b6-4832-b981-d0f7f8ff4f74",
@@ -166,7 +154,7 @@
    "id": "ba2dc53f-6bd3-417b-839f-fd64388db996",
    "metadata": {},
    "source": [
-    "While this provides additional insights, `pyinstrument` _also_ provides support for `speedscope` JSON, allowing it to to be used directly with `Flamegraph`, as well as its own JSON format."
+    "While `pyinstrument` provides additional insights, and has a detailed JSON format, and _also_ provides support for `speedscope` JSON, allowing it to to be used directly with the `Flamegraph` widget."
    ]
   },
   {
@@ -184,7 +172,7 @@
    "id": "c6ad2d8b-393d-477e-ac46-8b74ced7a4a6",
    "metadata": {},
    "source": [
-    "## Basic Example\n",
+    "### Basic Example\n",
     "\n",
     "For simplicity, the `Pyinstrument` examples below use the naive Fibonacci sequence (`fib`) and its asynchronous counterpart (`afib`), defined above."
    ]
@@ -229,18 +217,6 @@
     "    fib(15)"
    ]
   },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "56dbbb1c-e01a-4be9-8950-d7d8e8e776a8",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "with ps.callgraph.hold_sync():\n",
-    "    ps.callgraph.use_elk = ps.callgraph.show_time = ps.callgraph.group_by_file = 1\n",
-    "    ps.callgraph.direction = \"left_to_right\""
-   ]
-  },
   {
    "cell_type": "markdown",
    "id": "cedae0ac-7d44-4438-b4b8-1ce6d688b0d4",
@@ -273,7 +249,7 @@
    "id": "95db9b9c-6aa4-4e19-8918-2f4afc95d7a5",
    "metadata": {},
    "source": [
-    "`Pypseedscope` and `.profile` expose a few additional options:"
+    "`Pyinstrument` and `.profile` expose a few additional options:"
    ]
   },
   {
@@ -309,7 +285,7 @@
    "id": "326d8b31-919e-4767-9bb7-304549546a25",
    "metadata": {},
    "source": [
-    "## Asynchronous Code"
+    "### Asynchronous Code"
    ]
   },
   {
@@ -338,7 +314,7 @@
    "id": "885a97d0-7b3d-4517-a2b3-ae5eab2017ca",
    "metadata": {},
    "source": [
-    "## Multiple Cells\n",
+    "### Multiple Cells\n",
     "\n",
     "Profiling a single block of code with the `.profile` context manager will usually show the most useful output, but setting the `.profiling` member directly is possible. This will show the mechanics of `IPython` and `ipykernel` along with the code of interest."
    ]
@@ -388,16 +364,6 @@
     "mps.tabs()"
    ]
   },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "19794eee-e8eb-4458-9097-3f64c8e35137",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "mps.callgraph.show_options()"
-   ]
-  },
   {
    "cell_type": "code",
    "execution_count": null,

js/tokens.ts

@@ -8,7 +8,7 @@ export const VERSION = PKG.version;
 import { Token } from '@lumino/coreutils';
 
 export interface IFlameGraph {
-  //
+  // nothing here yet.
 }
 
 export const IFlameGraph = new Token<IFlameGraph>(`${NAME}:plugin`);