feat: add pickrate/winrate scatter plot

feat: some dataviz
add survival and winrates to skillrank aggregation
2026-04-20 22:05:02 +02:00 · 2026-04-20 21:50:20 +02:00 · 2026-04-20 13:27:11 +02:00 · 2026-04-20 12:15:07 +02:00 · 2026-04-20 11:39:35 +02:00 · 2026-04-19 17:59:19 +02:00
12 changed files with 1184 additions and 538 deletions
@@ -216,4 +216,6 @@ __marimo__/


 notebooks/*
-!notebooks/*.ipynb
+!notebooks/*.ipynb
+!notebooks/pyproject.toml
+!notebooks/uv.lock
@@ -1,6 +1,6 @@
 FROM redis:8.6.1

-RUN apt update && apt install -y --no-install-recommends gettext && apt clean && rm -rf /var/lib/apt/lists/*
+RUN apt update && apt install -y --no-install-recommends gettext dnsutils && apt clean && rm -rf /var/lib/apt/lists/*
 ADD ./entrypoint.sh /entrypoint.sh

 ENTRYPOINT [ "/entrypoint.sh" ]
@@ -1,6 +1,10 @@
 #!/bin/sh
 set -e

+export CONTAINER_NAME=$(dig -x "$(hostname -i)" +short | cut -d . -f 1)
+mkdir -p /data/$CONTAINER_NAME
+cd /data/$CONTAINER_NAME
+
 if [ "${1%.tmpl}" != "$1" ]; then
    cat "$1" | envsubst > /etc/redis.conf
    set -- /etc/redis.conf
@@ -4,9 +4,9 @@ services:
    ports:
      - 5540:5540
  redis:
-    image: redis:8.6.1
+    image: golyalpha/redis:8.6.1
    build: ./build
-    command: ["/conf/redis.conf"]
+    command: ["/conf/redis.conf.tmpl"]
    healthcheck:
      test: ["CMD", "redis-cli", "ping"]
      interval: 1m30s
@@ -15,7 +15,7 @@ services:
      start_period: 30s
    volumes:
      - ./conf:/conf:ro
-      - /data
+      - redis_data:/data
    expose:
      - 6379
      - 16379
@@ -38,3 +38,6 @@ services:
    userns_mode: keep-id
    volumes:
      - ./notebooks:/home/jovyan
+
+volumes:
+  redis_data:
@@ -1,4 +1,4 @@
-dir /data/
+dir /data/${CONTAINER_NAME}/

 aclfile /conf/users.acl

@@ -2,39 +2,17 @@
 "cells": [
  {
   "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": null,
   "id": "05c0de49-0eb8-4cd2-89b2-c312111dda85",
   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Requirement already satisfied: redis in /opt/conda/lib/python3.13/site-packages (7.4.0)\n",
-      "Requirement already satisfied: hiredis in /opt/conda/lib/python3.13/site-packages (3.3.1)\n",
-      "Requirement already satisfied: fastid in /opt/conda/lib/python3.13/site-packages (0.0.5)\n",
-      "Requirement already satisfied: tqdm in /opt/conda/lib/python3.13/site-packages (4.67.3)\n",
-      "Requirement already satisfied: kagglehub in /opt/conda/lib/python3.13/site-packages (1.0.0)\n",
-      "Requirement already satisfied: kagglesdk<1.0,>=0.1.14 in /opt/conda/lib/python3.13/site-packages (from kagglehub) (0.1.16)\n",
-      "Requirement already satisfied: packaging in /opt/conda/lib/python3.13/site-packages (from kagglehub) (26.0)\n",
-      "Requirement already satisfied: pyyaml in /opt/conda/lib/python3.13/site-packages (from kagglehub) (6.0.3)\n",
-      "Requirement already satisfied: requests in /opt/conda/lib/python3.13/site-packages (from kagglehub) (2.32.5)\n",
-      "Requirement already satisfied: protobuf in /opt/conda/lib/python3.13/site-packages (from kagglesdk<1.0,>=0.1.14->kagglehub) (6.33.5)\n",
-      "Requirement already satisfied: charset_normalizer<4,>=2 in /opt/conda/lib/python3.13/site-packages (from requests->kagglehub) (3.4.6)\n",
-      "Requirement already satisfied: idna<4,>=2.5 in /opt/conda/lib/python3.13/site-packages (from requests->kagglehub) (3.11)\n",
-      "Requirement already satisfied: urllib3<3,>=1.21.1 in /opt/conda/lib/python3.13/site-packages (from requests->kagglehub) (2.6.3)\n",
-      "Requirement already satisfied: certifi>=2017.4.17 in /opt/conda/lib/python3.13/site-packages (from requests->kagglehub) (2026.2.25)\n",
-      "Note: you may need to restart the kernel to use updated packages.\n"
-     ]
-    }
-   ],
+   "outputs": [],
   "source": [
    "%pip install redis hiredis fastid tqdm kagglehub"
   ]
  },
  {
   "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": null,
   "id": "90326242-f141-4035-9053-d3aab6cc9224",
   "metadata": {},
   "outputs": [],
@@ -49,25 +27,10 @@
  },
  {
   "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": null,
   "id": "50b9f473-8924-4d03-acf8-71ecf25e54a8",
   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "887890574a2048a587b6ed4dd8eef7c6",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "  0%|          | 0/1000000 [00:00<?, ?it/s]"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
   "source": [
    "from fastid import ulid\n",
    "from tqdm.notebook import trange\n",
@@ -80,20 +43,10 @@
  },
  {
   "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": null,
   "id": "23933aa3-ff5d-45f9-b402-59e58c02a2b3",
   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "b'OK'"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
   "source": [
    "schema = (\n",
    "    TextField(\"name\"),\n",
@@ -0,0 +1,13 @@
+[project]
+name = "notebooks"
+version = "0.1.0"
+requires-python = ">=3.14"
+dependencies = [
+    "fastid>=0.0.5",
+    "hiredis>=3.3.1",
+    "kagglehub>=1.0.0",
+    "matplotlib>=3.10.8",
+    "pandas>=3.0.2",
+    "redis>=7.4.0",
+    "tqdm>=4.67.3",
+]
@@ -94,12 +94,12 @@
    "        for i, row in enumerate(tqdm(reader, desc=\"Importing raw data into Redis...\", total=rows, unit=\"row\")):\n",
    "            if row[\"dateid\"] not in daily_matches:  # There's a ton of data so we just select two matches per day\n",
    "                daily_matches[row[\"dateid\"]] = set((row[\"matchid\"],))\n",
-    "                display(f\"Selected {row[\"matchid\"]} for day {row[\"dateid\"]}\")\n",
+    "                display(f\"Selected match {row[\"matchid\"]} for day {row[\"dateid\"]}\")\n",
    "            if row[\"matchid\"] not in daily_matches[row[\"dateid\"]]:  # Rows from a given day that aren't related to a specific match are ignored\n",
    "                if len(daily_matches[row[\"dateid\"]]) >= 20:  # Skip only if we already have two matches picked\n",
    "                    continue\n",
    "                daily_matches[row[\"dateid\"]].add(row[\"matchid\"])\n",
-    "                display(f\"Selected {row[\"matchid\"]} for day {row[\"dateid\"]}\")\n",
+    "                display(f\"Selected match {row[\"matchid\"]} for day {row[\"dateid\"]}\")\n",
    "            _ = p.hset(f\"raw:{ulid()}\", mapping=row)\n",
    "        _ = p.execute()"
   ]
@@ -169,18 +169,6 @@
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.13.12"
  }
 },
 "nbformat": 4,
@@ -0,0 +1,164 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "071f6969-c01a-4369-a763-871f5b9e65b3",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "%pip install redis hiredis fastid tqdm kagglehub"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "526cb932-59aa-489e-bbba-954ac645b633",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from redis.cluster import RedisCluster\n",
+    "from redis.cache import CacheConfig\n",
+    "from redis.retry import Retry\n",
+    "from redis.backoff import ExponentialBackoff\n",
+    "from pathlib import Path\n",
+    "import kagglehub  # pyright: ignore[reportMissingTypeStubs]\n",
+    "from csv import DictReader\n",
+    "from fastid import ulid\n",
+    "from tqdm.notebook import tqdm\n",
+    "\n",
+    "retry = Retry(ExponentialBackoff(), 8)\n",
+    "client = RedisCluster(\n",
+    "    host=\"redis\",\n",
+    "    port=6379,\n",
+    "    username=\"admin\",\n",
+    "    password=\"admin\",\n",
+    "    retry=retry,\n",
+    "    protocol=3,\n",
+    "    cache_config=CacheConfig(),\n",
+    "    decode_responses=True,\n",
+    "    health_check_interval=3,\n",
+    "    \n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "be4c5461-1db2-4226-b71e-cdc7f06615bd",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "dataset = Path(kagglehub.dataset_download(\"awesomizer/rainbox-six-siege-dataset\"))\n",
+    "downsampled = dataset/\"downsampled_S5.csv\"\n",
+    "display(f\"Downsample of full dump present: {downsampled.exists()}\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "2efb5699-cced-4df0-9d76-278e23874436",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "with downsampled.open(\"rb\") as f:\n",
+    "    rows = sum(1 for _ in tqdm(f)) - 1"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "9177760b-eec4-4ab4-8242-0dd8df5db9dd",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "with downsampled.open(errors=\"ignore\") as csvfile:\n",
+    "    reader = DictReader(csvfile)\n",
+    "    with client.pipeline() as p:\n",
+    "        for row in tqdm(reader, desc=\"Importing data into Redis...\", total=rows, unit=\"row\"):\n",
+    "            _ = p.hset(f\"raw:{ulid()}\", mapping=row)\n",
+    "        _ = p.execute()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "d8b75e35-8bef-4b2b-ae25-1982076c73fd",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from redis.commands.search.field import TagField, NumericField\n",
+    "from redis.commands.search.index_definition import IndexDefinition, IndexType\n",
+    "\n",
+    "schema = (\n",
+    "    NumericField(\"dateid\", sortable=True, no_index=True),\n",
+    "    TagField(\"platform\"),\n",
+    "    TagField(\"gamemode\"),\n",
+    "    TagField(\"mapname\"),\n",
+    "    NumericField(\"matchid\"),\n",
+    "    NumericField(\"roundnumber\", sortable=True, no_index=True),\n",
+    "    TagField(\"objectivelocation\"),\n",
+    "    TagField(\"winrole\"),\n",
+    "    TagField(\"endroundreason\"),\n",
+    "    NumericField(\"roundduration\", sortable=True, no_index=True),\n",
+    "    NumericField(\"clearancelevel\", sortable=True, no_index=True),\n",
+    "    TagField(\"skillrank\"),\n",
+    "    TagField(\"role\"),\n",
+    "    NumericField(\"team\"),\n",
+    "    NumericField(\"haswon\"),\n",
+    "    TagField(\"operator\"),\n",
+    "    NumericField(\"nbkills\", sortable=True, no_index=True),\n",
+    "    NumericField(\"isdead\"),\n",
+    "    TagField(\"primaryweapon\"),\n",
+    "    TagField(\"primaryweapontype\"),\n",
+    "    TagField(\"primarysight\"),\n",
+    "    TagField(\"primarygrip\"),\n",
+    "    TagField(\"primaryunderbarrel\"),\n",
+    "    TagField(\"primarybarrel\"),\n",
+    "    TagField(\"secondaryweapon\"),\n",
+    "    TagField(\"secondaryweapontype\"),\n",
+    "    TagField(\"secondarysight\"),\n",
+    "    TagField(\"secondarygrip\"),\n",
+    "    TagField(\"secondaryunderbarrel\"),\n",
+    "    TagField(\"secondarybarrel\"),\n",
+    "    TagField(\"secondarygadget\")\n",
+    ")\n",
+    "\n",
+    "try:\n",
+    "    client.ft().dropindex()\n",
+    "except:\n",
+    "    pass\n",
+    "client.ft().create_index(schema, definition=IndexDefinition(prefix=(\"raw:\",), index_type=IndexType.HASH))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "015ac04d-5f92-4323-8814-40ec35384a3c",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.13.12"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
@@ -0,0 +1,140 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "80918139",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "%pip install tqdm kagglehub"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "427a6e3e",
+   "metadata": {},
+   "source": [
+    "# R6 Data Resampling\n",
+    "\n",
+    "Due to the large volume of data in the original dataset (80M+ rows) we need to perform some resampling to:\n",
+    " - Shorten the amount of time spend loading data into Redis down to a reasonable time\n",
+    " - As Redis is a memory resident data store, everything needs to fit in memory - and the full dataset is fairly large\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "ed9fdf86",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from pathlib import Path\n",
+    "import kagglehub  # pyright: ignore[reportMissingTypeStubs]\n",
+    "from csv import DictReader, DictWriter\n",
+    "from tqdm.notebook import tqdm"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "586498d7",
+   "metadata": {},
+   "source": [
+    "First we fetch the dataset from kagglehub"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "8e6a156d",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "dataset = Path(kagglehub.dataset_download(\"awesomizer/rainbox-six-siege-dataset\"))\n",
+    "\n",
+    "print(\"Path to dataset files:\", dataset)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "a1e452e4",
+   "metadata": {},
+   "source": [
+    "Then we validate all the expected files are present, and count rows - the primary reason for this is displaying progress statistics during long running ops."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "30d83f96",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "full_dump = dataset/\"datadump_S5\"/\"datadump_S5.csv\"\n",
+    "objectives = dataset/\"datadump_S5_summary_objectives\"/\"datadump_S5_summary_objectives.csv\"\n",
+    "operator_loadouts = dataset/\"dataDump_s5_summary_operator_loadout\"/\"dataDump_s5_summary_operator_loadout.csv\"\n",
+    "display(f\"Full dump present: {full_dump.exists()}\")\n",
+    "display(f\"Objective picks present: {objectives.exists()}\")\n",
+    "display(f\"Operator loadouts present: {operator_loadouts.exists()}\")\n",
+    "\n",
+    "with full_dump.open(\"rb\") as f:\n",
+    "    rows = sum(1 for _ in tqdm(f)) - 1"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "83371b4f",
+   "metadata": {},
+   "source": [
+    "Now we perform the downsampling."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "477feac7",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "daily_matches: dict[str, set[str]] = {}\n",
+    "with full_dump.open(errors=\"ignore\") as csvfile:\n",
+    "    reader = DictReader(csvfile, delimiter=\";\")\n",
+    "    with open(dataset/\"downsampled_S5.csv\", \"w\") as downsampled:\n",
+    "        assert reader.fieldnames is not None  # Just a typing coersion because fieldnames *can* be nullable - only during reader init\n",
+    "        writer = DictWriter(downsampled, reader.fieldnames)\n",
+    "        writer.writeheader()\n",
+    "        for i, row in enumerate(tqdm(reader, desc=\"Building a pre-downsampled file for later use...\", total=rows, unit=\"row\")):\n",
+    "            if row[\"dateid\"] not in daily_matches:  # There's a ton of data so we just select two matches per day\n",
+    "                daily_matches[row[\"dateid\"]] = set((row[\"matchid\"],))\n",
+    "                display(f\"Selected {row[\"matchid\"]} for day {row[\"dateid\"]}\")\n",
+    "            if row[\"matchid\"] not in daily_matches[row[\"dateid\"]]:  # Rows from a given day that aren't related to a specific match are ignored\n",
+    "                if len(daily_matches[row[\"dateid\"]]) >= 20:  # Skip only if we already have two matches picked\n",
+    "                    continue\n",
+    "                daily_matches[row[\"dateid\"]].add(row[\"matchid\"])\n",
+    "                display(f\"Selected match {row[\"matchid\"]} for day {row[\"dateid\"]}\")\n",
+    "            writer.writerow(row)"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.13.12"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
@@ -0,0 +1,533 @@
+version = 1
+revision = 3
+requires-python = ">=3.14"
+resolution-markers = [
+    "sys_platform == 'win32'",
+    "sys_platform == 'emscripten'",
+    "sys_platform != 'emscripten' and sys_platform != 'win32'",
+]
+
+[[package]]
+name = "certifi"
+version = "2026.2.25"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/af/2d/7bf41579a8986e348fa033a31cdd0e4121114f6bce2457e8876010b092dd/certifi-2026.2.25.tar.gz", hash = "sha256:e887ab5cee78ea814d3472169153c2d12cd43b14bd03329a39a9c6e2e80bfba7", size = 155029, upload-time = "2026-02-25T02:54:17.342Z" }
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+]
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+[[package]]
+name = "charset-normalizer"
+version = "3.4.7"
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Author	SHA1	Message	Date
shield	85a25dbf54	feat: add pickrate/winrate scatter plot	2026-04-20 22:05:02 +02:00
shield	986bb80e74	feat: some dataviz	2026-04-20 21:50:20 +02:00
shield	d022424ffb	add survival and winrates to skillrank aggregation	2026-04-20 13:27:11 +02:00
shield	8f869a5f64	feat: leaderboards precomputation	2026-04-20 12:15:07 +02:00
shield	a9f9c834be	Feat: data persistence in shared volume implemented a template to enable data persistence even with a shared volume across containers	2026-04-20 11:39:35 +02:00
shield	11330e6b89	feat: wip goal implementations	2026-04-19 17:59:19 +02:00
shield	4f63dc3a8d	feat: add separate resampling and loading notebooks for demo	2026-04-19 17:30:43 +02:00
shield	bf36ceaf0a	chore: add package management this is mainly useful for split-dev with remote ipynb kernels and local IDE	2026-04-07 20:45:21 +02:00