From c2d649f9466e18b122a8e8ce81911bd949fafaba Mon Sep 17 00:00:00 2001 From: Seb Ospina Date: Sun, 18 Feb 2024 10:03:37 +0100 Subject: [PATCH 1/9] Moving into sebosp/s2-polars-data-analysis Signed-off-by: Seb Ospina --- .gitignore | 2 - README.md | 15 - jupyter_notebooks/Basic-Unit-Queries.ipynb | 14305 ------------------- jupyter_notebooks/functime.ipynb | 77 - requirements.txt | 172 - 5 files changed, 14571 deletions(-) delete mode 100644 jupyter_notebooks/Basic-Unit-Queries.ipynb delete mode 100644 jupyter_notebooks/functime.ipynb delete mode 100644 requirements.txt diff --git a/.gitignore b/.gitignore index e728ecd..d64b1a7 100644 --- a/.gitignore +++ b/.gitignore @@ -10,5 +10,3 @@ Cargo.lock **/*.rs.bk ipcs/ - -jupyter_notebooks/.ipynb_checkpoints/ diff --git a/README.md b/README.md index 7d21493..a4b5959 100644 --- a/README.md +++ b/README.md @@ -83,21 +83,6 @@ $ cargo run --features arrow -r -- --source "/mnt/windows/Users/sebos/Documents/ Total time: 33.654286961s ``` -### Jupyter Notebooks - -``` -$ virtualenv new venv -$ source ./venv/bin/activate -$ pip install -r requirements.txt -$ jupyter lab -``` - -Then open your browser and locate the Notebbooks, for example: - -[Basic UnitBorn Queries](./jupyter_notebooks/Basic-UnitBorn-Queries.ipynb) -![All units born](https://github.com/sebosp/s2protocol-rs/assets/873436/2307780a-bc62-4cd4-9daf-a3e622bdb5b7) -![Most effective units across all games](https://github.com/sebosp/s2protocol-rs/assets/873436/cba9da20-a034-47f3-9016-bfd6db21247b) - ### polars-cli ```bash diff --git a/jupyter_notebooks/Basic-Unit-Queries.ipynb b/jupyter_notebooks/Basic-Unit-Queries.ipynb deleted file mode 100644 index 08626f7..0000000 --- a/jupyter_notebooks/Basic-Unit-Queries.ipynb +++ /dev/null @@ -1,14305 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "id": "af96f9cf-854b-4bbd-8897-a0549480e344", - "metadata": {}, - "source": [ - "# Generate the files\n", - "\n", - "## Requirements\n", - "\n", - "[rustup](https://rustup.rs/)\n", - "[python3](https://www.python.org/downloads/)\n", - "\n", - "Maybe virtual env?\n", - "\n", - "## Step by Step\n", - "We need to locate the directory where the replays are, in my case I dual-boot and mount windows to `/mnt/windows`\n", - "\n", - "The final step takes around 32 seconds to process 3600 Replay files. This means about 110 replays per-second on a 16 Core machine.\n", - "```bash\n", - "$ git clone https://github.com/sebosp/s2protocol-rs\n", - "$ cd s2protocol-rs\n", - "$ mkdir ipcs/\n", - "$ cargo run --features arrow -r -- --timing --source \"/mnt/windows/Users/sebos/Documents/StarCraft II/Accounts/51504154/2-S2-1-8459957/Replays/Multiplayer/\" --output ipcs/ write-arrow-ipc all'\n", - "$ cd ipcs\n", - "$ du -sh *\n", - "3.8M details.ipc\n", - "27M init_data.ipc\n", - "441M stats.ipc\n", - "3.3G unit_born.ipc\n", - "2.4G unit_died.ipc\n", - "37M upgrades.ipc\n", - "$ cd ..\n", - "$ pip install -r requirements.txt\n", - "$ jupyter lab --notebook-dir=jupyter_notebooks/\n", - "# Open the URL explained in the terminal, this will open this notebook for interacting with the data.\n", - "```\n" - ] - }, - { - "cell_type": "code", - "execution_count": 298, - "id": "85a3b87b-e834-4ab7-99d3-8a192c6154a8", - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
\n", - "shape: (5, 5)
regionrealmidnamecount
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2110108763"Deity"58
212584593"Scout"36
" - ], - "text/plain": [ - "shape: (5, 5)\n", - "┌────────┬───────┬──────────┬──────────────┬───────┐\n", - "│ region ┆ realm ┆ id ┆ name ┆ count │\n", - "│ --- ┆ --- ┆ --- ┆ --- ┆ --- │\n", - "│ u8 ┆ u32 ┆ u64 ┆ str ┆ u32 │\n", - "╞════════╪═══════╪══════════╪══════════════╪═══════╡\n", - "│ 2 ┆ 1 ┆ 8459957 ┆ Sazed ┆ 3600 │\n", - "│ 2 ┆ 2 ┆ 2464767 ┆ llllllllllll ┆ 77 │\n", - "│ 2 ┆ 1 ┆ 9786095 ┆ llllllllllll ┆ 60 │\n", - "│ 2 ┆ 1 ┆ 10108763 ┆ Deity ┆ 58 │\n", - "│ 2 ┆ 1 ┆ 2584593 ┆ Scout ┆ 36 │\n", - "└────────┴───────┴──────────┴──────────────┴───────┘" - ] - }, - "execution_count": 298, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# import datashader as ds\n", - "import plotly.express as px\n", - "import polars as pl\n", - "from functime.cross_validation import train_test_split\n", - "from functime.forecasting import linear_model\n", - "from functime.metrics import mase\n", - "from functime.preprocessing import scale\n", - "from functime.seasonality import add_calendar_effects, add_fourier_terms\n", - "\n", - "pl.Config.set_tbl_width_chars(256)\n", - "pl.Config.set_fmt_str_lengths(256)\n", - "\n", - "# In this case I'm interested in my own user data.\n", - "my_username = \"2-1-8459957-Sazed\"\n", - "\n", - "unit_born_df = pl.scan_ipc(\"/home/seb/git/s2protocol-rs/ipcs/unit_born.ipc\")\n", - "unit_died_df = pl.scan_ipc(\"/home/seb/git/s2protocol-rs/ipcs/unit_died.ipc\")\n", - "stats_df = pl.scan_ipc(\"/home/seb/git/s2protocol-rs/ipcs/stats.ipc\")\n", - "upgrades_df = pl.scan_ipc(\"/home/seb/git/s2protocol-rs/ipcs/upgrades.ipc\")\n", - "\n", - "details_df = pl.scan_ipc(\"/home/seb/git/s2protocol-rs/ipcs/details.ipc\")\n", - "# Explode the details_df so we get a row per player.\n", - "details_df_exp = (\n", - " details_df.explode(\"player_list\")\n", - " .unnest(\"player_list\")\n", - " .unnest(\"toon\")\n", - " # id 0 seems to be only for AI\n", - " .filter(pl.col(\"id\") != 0)\n", - " # .filter(pl.col(\"name\").str.ends_with(\"Sazed\"))\n", - " .select(\n", - " [\n", - " pl.col(\"region\"),\n", - " pl.col(\"realm\"),\n", - " pl.col(\"id\"),\n", - " pl.col(\"working_set_slot_id\") + 1,\n", - " pl.col(\"ext_fs_replay_sha256\"),\n", - " pl.col(\"ext_datetime\"),\n", - " pl.col(\"name\").str.split(by=\"\").list.last(),\n", - " ]\n", - " )\n", - ")\n", - "\n", - "latest_replay_digest = (\n", - " details_df_exp.collect()\n", - " .sort(\"ext_datetime\", descending=True)\n", - " .select(pl.col(\"ext_fs_replay_sha256\"))\n", - " .limit(1)\n", - ")\n", - "details_df_exp.collect().schema\n", - "\n", - "# To find your user, you can inspect a replay, for example the latest one, this is a combination of the blizzard ids, region, etc.\n", - "# unit_born_df.join(details_df_exp, left_on=[\n", - "# pl.col(\"ext_fs_replay_sha256\"), pl.col(\"player_id\"),\n", - "# ], right_on = [\n", - "# pl.col(\"ext_fs_replay_sha256\"), pl.col(\"working_set_slot_id\"),\n", - "# ])\n", - "# .filter((pl.col(\"ext_fs_replay_sha256\") == latest_replay_digest)).group_by(\n", - "# \"player_id\"\n", - "# ).agg(pl.count()).collect()\n", - "top_player = (\n", - " details_df_exp.group_by(\n", - " [pl.col(\"region\"), pl.col(\"realm\"), pl.col(\"id\"), pl.col(\"name\")]\n", - " )\n", - " .agg([pl.count()])\n", - " .sort(\"count\", descending=True)\n", - " .collect()\n", - ")\n", - "# details_df_exp.select(pl.col(\"toon\").struct.field(\"toon\")).collect().head(5)\n", - "top_player.head()" - ] - }, - { - "cell_type": "code", - "execution_count": 19, - "id": "100b03a1-582d-4235-8612-ce0ef8b853c4", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "['player_list',\n", - " 'title',\n", - " 'difficulty',\n", - " 'thumbnail',\n", - " 'is_blizzard_map',\n", - " 'time_utc',\n", - " 'time_local_offset',\n", - " 'restart_as_transition_map',\n", - " 'disable_recover_game',\n", - " 'description',\n", - " 'image_file_path',\n", - " 'campaign_index',\n", - " 'map_file_name',\n", - " 'cache_handles',\n", - " 'mini_save',\n", - " 'game_speed',\n", - " 'default_difficulty',\n", - " 'mod_paths',\n", - " 'ext_fs_replay_file_name',\n", - " 'ext_fs_replay_sha256',\n", - " 'ext_datetime']" - ] - }, - "execution_count": 19, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "details_df.filter(pl.col(\"ext_fs_replay_sha256\") == latest_replay_digest).explode(\n", - " [pl.col(\"player_list\")]\n", - ").collect().sort(\"ext_datetime\", descending=True).columns" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "4b4d9455-ec71-456a-b7b1-6d48bf93a07c", - "metadata": { - "editable": true, - "slideshow": { - "slide_type": "" - }, - "tags": [] - }, - "outputs": [], - "source": [ - "unit_born_ec_le = (\n", - " (\n", - " unit_born_df.join(details_df, on=\"ext_fs_replay_sha256\", how=\"inner\")\n", - " .filter(\n", - " (pl.col(\"ext_fs_replay_sha256\") == latest_replay_digest)\n", - " # & (pl.col(\"unit_type_name\") == \"Hatchery\")\n", - " & (pl.col(\"unit_type_name\") != \"InvisibleTargetDummy\")\n", - " )\n", - " .with_columns(\n", - " pl.concat_str(pl.col(\"unit_type_name\"), pl.col(\"unit_tag_index\")).alias(\n", - " \"name_index\"\n", - " )\n", - " )\n", - " .select(\n", - " [\n", - " pl.col(\"x\"),\n", - " pl.col(\"y\"),\n", - " pl.col(\"name_index\"),\n", - " pl.col(\"unit_tag_index\"),\n", - " pl.col(\"unit_type_name\"),\n", - " pl.col(\"ext_replay_loop\"),\n", - " ]\n", - " )\n", - " )\n", - " .collect()\n", - " .sort(\"ext_replay_loop\")\n", - ")\n", - "\n", - "unit_born_map = px.scatter(\n", - " unit_born_ec_le,\n", - " x=\"x\",\n", - " y=\"y\",\n", - " color=\"unit_type_name\",\n", - " symbol=\"unit_type_name\",\n", - " width=1200,\n", - " height=800,\n", - " range_x=(0, 200),\n", - " range_y=(0, 200),\n", - ")\n", - "unit_born_map.show(renderer=\"png\")\n", - "unit_born_ec_le.head(100)" - ] - }, - { - "cell_type": "code", - "execution_count": 32, - "id": "c83fb594-b3ec-468c-a2d2-be7e99a7be01", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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" - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "unit_died_test1 = (\n", - " unit_died_df.filter(pl.col(\"ext_fs_replay_sha256\") == latest_replay_digest)\n", - " .select([\"unit_died_name\", \"x\", \"y\"])\n", - " .collect()\n", - ")\n", - "fig = px.scatter(\n", - " unit_died_test1,\n", - " x=\"x\",\n", - " y=\"y\",\n", - " color=\"unit_died_name\",\n", - " width=1200,\n", - " height=800,\n", - " range_x=(0, 200),\n", - " range_y=(0, 200),\n", - ")\n", - "fig.show(renderer=\"png\")" - ] - }, - { - "cell_type": "code", - "execution_count": 68, - "id": "004cd4c6-0c68-4074-a062-832e8f73510d", - "metadata": {}, - "outputs": [ - { - "data": { - "application/vnd.plotly.v1+json": { - "config": { - "plotlyServerURL": "https://plot.ly" - }, - "data": [ - { - "alignmentgroup": "True", - "bingroup": "x", - "histfunc": "sum", - "hovertemplate": "unit_died_name=Gateway
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", 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" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "unit_died_ec_le = (\n", - " unit_died_df.join(details_df, on=\"ext_fs_replay_sha256\", how=\"inner\")\n", - " .filter(\n", - " (pl.col(\"ext_replay_detail_killer_player_name\") == my_username)\n", - " & (pl.col(\"unit_killer_name\") != \"\")\n", - " & (pl.col(\"unit_died_name\") != \"InvisibleTargetDummy\")\n", - " )\n", - " .select(\n", - " [\n", - " pl.col(\"ext_replay_detail_killer_player_name\"),\n", - " pl.col(\"unit_died_name\"),\n", - " pl.col(\"unit_tag_index\"),\n", - " pl.col(\"unit_killer_name\"),\n", - " pl.col(\"killer_unit_tag_index\"),\n", - " pl.col(\"ext_replay_loop\"),\n", - " pl.col(\"ext_replay_seconds\"),\n", - " ]\n", - " )\n", - ")\n", - "unit_killer_to_died_freq = (\n", - " unit_died_ec_le.group_by([\"unit_killer_name\", \"unit_died_name\"])\n", - " .agg(pl.count().alias(\"count\"))\n", - " .collect()\n", - " .sort(\"count\")\n", - ")\n", - "unit_killer_freq = (\n", - " unit_died_ec_le.group_by([\"unit_killer_name\"])\n", - " .agg(pl.count().alias(\"count\"))\n", - " .collect()\n", - " .sort(\"count\")\n", - ")\n", - "unit_died_freq = (\n", - " unit_died_ec_le.group_by([\"unit_died_name\"])\n", - " .agg(pl.count().alias(\"count\"))\n", - " .collect()\n", - " .sort(\"count\")\n", - ")\n", - "hist = px.histogram(\n", - " unit_killer_to_died_freq, x=\"unit_killer_name\", y=\"count\", color=\"unit_died_name\"\n", - ")\n", - "# Q: What is the unit that kills other units the most across all my game history?\n", - "# A: LurkerMPBurrowed killed 21k marines:\n", - "\n", - "hist.show(renderer=\"png\")\n", - "# unit_killer_pie = px.pie(unit_killer_freq, names=\"unit_killer_name\", values=\"count\")\n", - "# unit_killer_pie.show()" - ] - }, - { - "cell_type": "code", - "execution_count": 67, - "id": "f5ce5d6d-dce1-4a79-94ac-0f6f1957cb6a", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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" - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "unit_born_ec_le = (\n", - " unit_born_df.join(details_df, on=\"ext_fs_replay_sha256\", how=\"inner\")\n", - " .filter(\n", - " (pl.col(\"ext_replay_detail_player_name\") == my_username)\n", - " & (pl.col(\"title\") == \"Emerald City LE\")\n", - " & (pl.col(\"unit_type_name\") == \"Drone\")\n", - " )\n", - " .select([pl.col(\"x\"), pl.col(\"y\"), pl.col(\"unit_type_name\")])\n", - " .group_by([\"x\", \"y\", \"unit_type_name\"])\n", - " .agg(pl.sum(\"unit_type_name\").alias(\"count\"))\n", - " .collect()\n", - ")\n", - "fig = px.scatter(\n", - " unit_born_ec_le,\n", - " x=\"x\",\n", - " y=\"y\",\n", - " color=\"unit_type_name\",\n", - " render_mode=\"svg\",\n", - " width=1600,\n", - " height=800,\n", - ")\n", - "fig.show(renderer=\"png\")" - ] - }, - { - "cell_type": "code", - "execution_count": 88, - "id": "f2e3dad2-0c33-4c7a-aaa1-a3a0e27a61b3", - "metadata": {}, - "outputs": [ - { - "data": { - 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", 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" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "details_df = pl.scan_ipc(\"/home/seb/git/s2protocol-rs/ipcs/details.ipc\")\n", - "upgrades_df = pl.scan_ipc(\"/home/seb/git/s2protocol-rs/ipcs/upgrades.ipc\")\n", - "y = (\n", - " (\n", - " upgrades_df.join(details_df, on=[pl.col(\"ext_fs_replay_sha256\")])\n", - " .filter(\n", - " (pl.col(\"ext_replay_seconds\").gt(0))\n", - " & (pl.col(\"name\").str.starts_with(\"zerg\"))\n", - " & (pl.col(\"ext_replay_detail_player_name\") == \"2-1-8459957-Sazed\")\n", - " )\n", - " .select(\n", - " [\n", - " pl.col(\"name\"),\n", - " pl.col(\"ext_datetime\").alias(\"time\"),\n", - " pl.col(\"ext_replay_seconds\").cast(pl.Float64),\n", - " ]\n", - " )\n", - " )\n", - " .collect()\n", - " .sort(\"time\")\n", - ")\n", - "from functime.plotting import plot_comet, plot_forecasts, plot_fva, plot_residuals\n", - "\n", - "# y.shape\n", - "# y\n", - "\n", - "entity_col, time_col = y.columns[:2]\n", - "y_train, y_test = y.pipe(train_test_split(test_size=3))\n", - "forecaster = linear_model(freq=\"1mo\", lags=24)\n", - "forecaster.fit(y=y_train)\n", - "y_pred = forecaster.predict(fh=3)\n", - "fig = px.line(y, x=\"time\", y=\"ext_replay_seconds\", color=\"name\")\n", - "fig.show()\n", - "fig = px.line(y_pred, x=\"time\", y=\"ext_replay_seconds\", color=\"name\")\n", - "fig.show()\n", - "y_pred = linear_model(freq=\"1mo\", lags=24)(y=y_train, fh=3)\n", - "\n", - "# Score forecasts in parallel\n", - "scores = mase(y_true=y_test, y_pred=y_pred, y_train=y_train)\n", - "\n", - "# Forecast with target transforms and feature transforms\n", - "forecaster = linear_model(\n", - " freq=\"1mo\",\n", - " lags=24,\n", - " target_transform=scale(),\n", - " feature_transform=add_fourier_terms(sp=12, K=6),\n", - ")\n", - "\n", - "# Forecast with exogenous regressors!\n", - "# Just pass them into X\n", - "X = y.select([entity_col, time_col]).pipe(add_fourier_terms(sp=12, K=6)).collect()\n", - "X_train, X_future = y.pipe(train_test_split(test_size=3))\n", - "forecaster = linear_model(freq=\"1mo\", lags=24)\n", - "forecaster.fit(y=y_train, X=X_train)\n", - "y_pred = forecaster.predict(fh=3, X=X_future)" - ] - }, - { - "cell_type": "code", - "execution_count": 215, - "id": "ea4c7fbb-a0f0-4356-94f1-d00cb01f7702", - "metadata": {}, - "outputs": [ - { - "data": { - "image/svg+xml": [ - "Apr 242022May 8May 22Jun 5Jun 19Jul 34444.54545.546Apr 242022May 8May 22Jun 5Jun 19Jul 34444.54545.546Dec 42022Dec 18Jan 12023Jan 15Jan 29Feb 12Feb 2613461,346.513471,347.51348Sep 112022Sep 25Oct 9Oct 23Nov 6Nov 2000.511.52ActualForecastGrenadierDodgeTerranVehicleAndShipArmorsLevel2DecorationPassiveSprayCount" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "image/svg+xml": [ - "Apr 242022May 8May 22Jun 5Jun 19Jul 34444.54545.546Apr 242022May 8May 22Jun 5Jun 19Jul 34444.54545.546Jan 2023Mar 2023May 2023Jul 2023Sep 2023800100012001400160018002000Apr 242022May 8May 22Jun 5Jun 19Jul 34444.54545.546ActualForecastReflexes3EnchancedStructures4ChitinousPlatingSurvivorTaser" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "image/svg+xml": [ - "−10123456−101234Benchmark (smape)Forecast (smape)" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "from functime.cross_validation import train_test_split\n", - "from functime.evaluation import rank_fva, rank_point_forecasts, rank_residuals\n", - "from functime.forecasting import lightgbm, snaive\n", - "from functime.plotting import plot_comet, plot_forecasts, plot_fva, plot_residuals\n", - "from functime.preprocessing import detrend\n", - "\n", - "details_df = pl.scan_ipc(\"/home/seb/git/s2protocol-rs/ipcs/details.ipc\")\n", - "upgrades_df = pl.scan_ipc(\"/home/seb/git/s2protocol-rs/ipcs/upgrades.ipc\")\n", - "details_df_exp = (\n", - " details_df.explode(\"player_list\")\n", - " .unnest(\"player_list\")\n", - " .filter(pl.col(\"name\").str.ends_with(\"Sazed\"))\n", - " .select(\n", - " [\n", - " pl.col(\"working_set_slot_id\") + 1,\n", - " pl.col(\"ext_fs_replay_sha256\"),\n", - " pl.col(\"ext_datetime\"),\n", - " ]\n", - " )\n", - ")\n", - "y = (\n", - " upgrades_df.join(\n", - " details_df_exp,\n", - " left_on=[\n", - " pl.col(\"ext_fs_replay_sha256\"),\n", - " pl.col(\"player_id\"),\n", - " ],\n", - " right_on=[\n", - " pl.col(\"ext_fs_replay_sha256\"),\n", - " pl.col(\"working_set_slot_id\"),\n", - " ],\n", - " )\n", - " .filter((pl.col(\"ext_replay_seconds\").gt(0)) & (pl.col(\"name\") != \"SprayZerg\"))\n", - " .select(\n", - " [\n", - " pl.col(\"name\"),\n", - " pl.col(\"ext_datetime\").alias(\"time\"),\n", - " pl.col(\"ext_replay_seconds\").cast(pl.Float64),\n", - " ]\n", - " )\n", - " .sort(\"time\")\n", - " .collect()\n", - ")\n", - "fh = 12\n", - "entity_col = y.columns[0]\n", - "y_train, y_test = train_test_split(test_size=fh, eager=True)(y)\n", - "y.select(\n", - " pl.all().exclude(\"ext_replay_seconds\").n_unique(),\n", - " pl.col(\"time\").min().dt.date().alias(\"start\"),\n", - " pl.col(\"time\").max().dt.date().alias(\"end\"),\n", - ")\n", - "y_pred_bench = snaive(freq=\"1w\", sp=24)(y=y_train, fh=fh)\n", - "y_pred_bench.head()\n", - "\n", - "selected_entities = ranks.head(4).get_column(entity_col).unique()\n", - "figure = plot_forecasts(\n", - " y_true=y.filter(pl.col(entity_col).is_in(selected_entities)),\n", - " y_pred=y_pred_bench.filter(pl.col(entity_col).is_in(selected_entities)),\n", - " n_cols=2,\n", - " height=1000,\n", - " width=1200,\n", - ")\n", - "figure.show(renderer=\"svg\")\n", - "ranks = rank_point_forecasts(y_true=y_test, y_pred=y_pred_bench, descending=True)\n", - "ranks.head()\n", - "selected_entities = ranks.head(4).get_column(entity_col).unique()\n", - "figure = plot_forecasts(\n", - " y_true=y.filter(pl.col(entity_col).is_in(selected_entities)),\n", - " y_pred=y_pred_bench.filter(pl.col(entity_col).is_in(selected_entities)),\n", - " n_cols=2,\n", - " height=1000,\n", - " width=1200,\n", - ")\n", - "figure.show(renderer=\"svg\")\n", - "figure = plot_fva(\n", - " y_true=y_test, y_pred=y_pred, y_pred_bench=y_pred_bench, height=900, width=900\n", - ")\n", - "figure.show(renderer=\"svg\")" - ] - }, - { - "cell_type": "code", - "execution_count": 190, - "id": "8d0195ba-6172-491e-939d-972e3b7ec3c9", - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
\n", - "shape: (47_583, 3)
commodity_typetimeprice
strdatetime[ns]f64
"Aluminum"1960-01-01 00:00:00511.47
"Aluminum"1960-02-01 00:00:00511.47
"Aluminum"1960-03-01 00:00:00511.47
"Aluminum"1960-04-01 00:00:00511.47
"Aluminum"1960-05-01 00:00:00511.47
"Aluminum"1960-06-01 00:00:00511.47
"Aluminum"1960-07-01 00:00:00511.47
"Aluminum"1960-08-01 00:00:00511.47
"Aluminum"1960-09-01 00:00:00511.47
"Aluminum"1960-10-01 00:00:00511.47
"Aluminum"1960-11-01 00:00:00511.47
"Aluminum"1960-12-01 00:00:00511.47
………
"Zinc"2022-04-01 00:00:004360.43
"Zinc"2022-05-01 00:00:003751.48
"Zinc"2022-06-01 00:00:003629.73
"Zinc"2022-07-01 00:00:003105.36
"Zinc"2022-08-01 00:00:003587.57
"Zinc"2022-09-01 00:00:003124.97
"Zinc"2022-10-01 00:00:002967.21
"Zinc"2022-11-01 00:00:002938.92
"Zinc"2022-12-01 00:00:003129.48
"Zinc"2023-01-01 00:00:003309.81
"Zinc"2023-02-01 00:00:003133.84
"Zinc"2023-03-01 00:00:002967.46
" - ], - "text/plain": [ - "shape: (47_583, 3)\n", - "┌────────────────┬─────────────────────┬─────────┐\n", - "│ commodity_type ┆ time ┆ price │\n", - "│ --- ┆ --- ┆ --- │\n", - "│ str ┆ datetime[ns] ┆ f64 │\n", - "╞════════════════╪═════════════════════╪═════════╡\n", - "│ Aluminum ┆ 1960-01-01 00:00:00 ┆ 511.47 │\n", - "│ Aluminum ┆ 1960-02-01 00:00:00 ┆ 511.47 │\n", - "│ Aluminum ┆ 1960-03-01 00:00:00 ┆ 511.47 │\n", - "│ Aluminum ┆ 1960-04-01 00:00:00 ┆ 511.47 │\n", - "│ … ┆ … ┆ … │\n", - "│ Zinc ┆ 2022-12-01 00:00:00 ┆ 3129.48 │\n", - "│ Zinc ┆ 2023-01-01 00:00:00 ┆ 3309.81 │\n", - "│ Zinc ┆ 2023-02-01 00:00:00 ┆ 3133.84 │\n", - "│ Zinc ┆ 2023-03-01 00:00:00 ┆ 2967.46 │\n", - "└────────────────┴─────────────────────┴─────────┘" - ] - }, - "execution_count": 190, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "details_df = pl.scan_ipc(\"/home/seb/git/s2protocol-rs/ipcs/details.ipc\")\n", - "upgrades_df = pl.scan_ipc(\"/home/seb/git/s2protocol-rs/ipcs/upgrades.ipc\")\n", - "\n", - "y = (\n", - " upgrades_df.join(\n", - " details_df_exp,\n", - " left_on=[\n", - " pl.col(\"ext_fs_replay_sha256\"),\n", - " pl.col(\"player_id\"),\n", - " ],\n", - " right_on=[\n", - " pl.col(\"ext_fs_replay_sha256\"),\n", - " pl.col(\"working_set_slot_id\"),\n", - " ],\n", - " )\n", - " .filter((pl.col(\"ext_replay_seconds\").gt(0)) & (pl.col(\"name\") != \"SprayZerg\"))\n", - " .select(\n", - " [\n", - " pl.col(\"name\"),\n", - " pl.col(\"ext_datetime\").alias(\"time\"),\n", - " pl.col(\"ext_replay_seconds\").cast(pl.Float64),\n", - " ]\n", - " )\n", - " .sort(\"time\")\n", - " .collect()\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "1e4e24bf-e170-4315-b991-29f2a47aa7d0", - "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": "3.11.5" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} diff --git a/jupyter_notebooks/functime.ipynb b/jupyter_notebooks/functime.ipynb deleted file mode 100644 index d1ea88b..0000000 --- a/jupyter_notebooks/functime.ipynb +++ /dev/null @@ -1,77 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": null, - "id": "de32eb68-01b3-48ab-95ea-d095fa69d73a", - "metadata": {}, - "outputs": [], - "source": [ - "import plotly.express as px\n", - "import polars as pl\n", - "from functime.cross_validation import train_test_split\n", - "from functime.forecasting import linear_model\n", - "from functime.metrics import mase\n", - "from functime.preprocessing import scale\n", - "from functime.seasonality import add_calendar_effects, add_fourier_terms\n", - "\n", - "pl.Config.set_tbl_width_chars(256)\n", - "pl.Config.set_fmt_str_lengths(256)\n", - "\n", - "# The usernames are stored in the Details section of the MPQ. This can be used later to correlate \"played_id\"s with human friendly player name.\n", - "details_df = pl.scan_ipc(\"/home/seb/git/s2protocol-rs/ipcs/details.ipc\")\n", - "details_df = (\n", - " details_df\n", - " .explode(\"player_list\")\n", - " .unnest(\"player_list\")\n", - " .filter(pl.col(\"name\").str.ends_with(\"Sazed\"))\n", - " .select([pl.col(\"working_set_slot_id\") + 1,pl.col(\"ext_fs_replay_sha256\"),pl.col(\"ext_datetime\")])\n", - ")\n", - "\n", - "unit_born_df = pl.scan_ipc(\"/home/seb/git/s2protocol-rs/ipcs/unit_born.ipc\")\n", - "unit_died_df = pl.scan_ipc(\"/home/seb/git/s2protocol-rs/ipcs/unit_died.ipc\")\n", - "stats_df = pl.scan_ipc(\"/home/seb/git/s2protocol-rs/ipcs/stats.ipc\")\n", - "init_data_df = pl.scan_ipc(\"/home/seb/git/s2protocol-rs/ipcs/init_data.ipc\")\n", - "upgrades_df = pl.scan_ipc(\"/home/seb/git/s2protocol-rs/ipcs/upgrades.ipc\")\n", - "\n", - "\n", - "\n", - "\n", - "latest_replay_digest = (\n", - " details_df.collect()\n", - " .sort(\"ext_datetime\", descending=True)\n", - " .select(pl.col(\"ext_fs_replay_sha256\"))\n", - " .limit(1)\n", - ")\n", - "# In this case I'm interested in my own user data.\n", - "my_username = \"2-1-8459957-Sazed\"\n", - "# To find your user, you can inspect a replay, for example the latest one, this is a combination of the blizzard ids, region, etc.\n", - "unit_born_df.filter((pl.col(\"ext_fs_replay_sha256\") == latest_replay_digest)).group_by(\n", - " \"ext_replay_detail_player_name\"\n", - ").agg(pl.count()).collect()\n", - "\n" - ] - } - ], - "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": "3.11.5" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} diff --git a/requirements.txt b/requirements.txt deleted file mode 100644 index bda33c2..0000000 --- a/requirements.txt +++ /dev/null @@ -1,172 +0,0 @@ -aiofiles==23.2.1 -aiosqlite==0.19.0 -annotated-types==0.6.0 -anyio==4.0.0 -argon2-cffi==23.1.0 -argon2-cffi-bindings==21.2.0 -arrow==1.3.0 -asciitree==0.3.3 -asttokens==2.4.1 -async-lru==2.0.4 -attrs==23.1.0 -Babel==2.13.1 -backcall==0.2.0 -beautifulsoup4==4.12.2 -black==23.11.0 -bleach==6.1.0 -Bottleneck==1.3.7 -certifi==2023.7.22 -cffi==1.16.0 -charset-normalizer==3.3.2 -click==8.1.7 -cloudpickle==3.0.0 -colorcet==3.0.1 -comm==0.2.0 -dask==2023.11.0 -datashader==0.16.0 -datashape==0.5.2 -debugpy==1.8.0 -decorator==5.1.1 -defusedxml==0.7.1 -distro==1.8.0 -executing==2.0.1 -fasteners==0.19 -fastjsonschema==2.19.0 -FLAML==2.1.1 -fqdn==1.5.1 -fsspec==2023.10.0 -functime==0.9.0 -h11==0.14.0 -holidays==0.36 -httpcore==1.0.2 -httpx==0.25.1 -idna==3.4 -importlib-metadata==6.8.0 -ipykernel==6.26.0 -ipython==8.17.2 -ipython-genutils==0.2.0 -ipywidgets==8.1.1 -isoduration==20.11.0 -isort==5.12.0 -jedi==0.19.1 -Jinja2==3.1.2 -joblib==1.3.2 -json5==0.9.14 -jsonpointer==2.4 -jsonschema==4.19.2 -jsonschema-specifications==2023.11.1 -jupyter==1.0.0 -jupyter-console==6.6.3 -jupyter-contrib-core==0.4.2 -jupyter-contrib-nbextensions==0.7.0 -jupyter-events==0.9.0 -jupyter-highlight-selected-word==0.2.0 -jupyter-lsp==2.2.0 -jupyter-nbextensions-configurator==0.6.3 -jupyter-ydoc==1.1.1 -jupyter_client==8.6.0 -jupyter_core==5.5.0 -jupyter_server==2.10.0 -jupyter_server_fileid==0.9.0 -jupyter_server_terminals==0.4.4 -jupyter_server_ydoc==0.8.0 -jupyterlab==4.0.8 -jupyterlab-pygments==0.2.2 -jupyterlab-widgets==3.0.9 -jupyterlab_code_formatter==2.2.1 -jupyterlab_server==2.25.1 -kaleido==0.2.1 -lightgbm==4.1.0 -llvmlite==0.41.1 -locket==1.0.0 -lxml==4.9.3 -MarkupSafe==2.1.3 -matplotlib-inline==0.1.6 -mistune==3.0.2 -multipledispatch==1.0.0 -mypy-extensions==1.0.0 -nbclassic==1.0.0 -nbclient==0.9.0 -nbconvert==7.11.0 -nbformat==5.9.2 -nest-asyncio==1.5.8 -notebook==7.0.6 -notebook_shim==0.2.3 -numba==0.58.1 -numcodecs==0.12.1 -numpy==1.26.2 -openai==1.2.4 -overrides==7.4.0 -packaging==23.2 -pandas==2.1.3 -pandocfilters==1.5.0 -param==2.0.1 -parso==0.8.3 -partd==1.4.1 -pathspec==0.11.2 -patsy==0.5.3 -pexpect==4.8.0 -pickleshare==0.7.5 -Pillow==10.1.0 -platformdirs==4.0.0 -plotly==5.18.0 -plotly-express==0.4.1 -polars==0.19.13 -prometheus-client==0.18.0 -prompt-toolkit==3.0.41 -psutil==5.9.6 -ptyprocess==0.7.0 -pure-eval==0.2.2 -pyarrow==14.0.1 -pycparser==2.21 -pyct==0.5.0 -pydantic==2.5.0 -pydantic_core==2.14.3 -Pygments==2.16.1 -pylance==0.8.14 -python-dateutil==2.8.2 -python-json-logger==2.0.7 -pytz==2023.3.post1 -PyYAML==6.0.1 -pyzmq==25.1.1 -qtconsole==5.5.0 -QtPy==2.4.1 -referencing==0.31.0 -regex==2023.10.3 -requests==2.31.0 -rfc3339-validator==0.1.4 -rfc3986-validator==0.1.1 -rpds-py==0.12.0 -scikit-learn==1.3.2 -scipy==1.11.3 -Send2Trash==1.8.2 -six==1.16.0 -sniffio==1.3.0 -soupsieve==2.5 -stack-data==0.6.3 -statsmodels==0.14.0 -tabulate==0.9.0 -tenacity==8.2.3 -terminado==0.18.0 -threadpoolctl==3.2.0 -tiktoken==0.5.1 -tinycss2==1.2.1 -toolz==0.12.0 -tornado==6.3.3 -tqdm==4.66.1 -traitlets==5.13.0 -types-python-dateutil==2.8.19.14 -typing_extensions==4.8.0 -tzdata==2023.3 -uri-template==1.3.0 -urllib3==2.1.0 -wcwidth==0.2.10 -webcolors==1.13 -webencodings==0.5.1 -websocket-client==1.6.4 -widgetsnbextension==4.0.9 -xarray==2023.10.1 -y-py==0.6.2 -ypy-websocket==0.12.4 -zarr==2.16.1 -zipp==3.17.0 From eb74bf172f02790301eb8534f20f6c384eeae29c Mon Sep 17 00:00:00 2001 From: Seb Ospina Date: Sun, 18 Feb 2024 10:09:40 +0100 Subject: [PATCH 2/9] Adding reference to s2-polars-data-analysis Signed-off-by: Seb Ospina --- README.md | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/README.md b/README.md index a4b5959..38fa467 100644 --- a/README.md +++ b/README.md @@ -83,6 +83,10 @@ $ cargo run --features arrow -r -- --source "/mnt/windows/Users/sebos/Documents/ Total time: 33.654286961s ``` +### Jupyter Notebooks + +The jupyter notebook with examples on how to interact with the data are available in [s2-polars-data-analysis](https://github.com/sebosp/s2-polars-data-analysis) + ### polars-cli ```bash From b071815c25ddc04a33192dbbd6b7268f29c42e5a Mon Sep 17 00:00:00 2001 From: Seb Ospina Date: Sat, 24 Feb 2024 22:31:48 +0100 Subject: [PATCH 3/9] Reducing sizes Reducing sha size by finding smallest unique fragment Removing player name from tables as it's available on a join (and was miscalculated) Adding filters for IPC generation Traversing through directories to find more SC2Replays. --- src/arrow/ipc_writer.rs | 2 +- src/arrow/mod.rs | 81 +++++++++++++++---- src/cli.rs | 64 ++++++++++++--- src/details.rs | 5 +- src/init_data/mod.rs | 33 +++++--- src/state/mod.rs | 2 + .../arrow/player_stats_flat_row.rs | 3 - .../arrow/unit_born_event_flat_row.rs | 7 -- .../arrow/unit_died_event_flat_row.rs | 3 + .../arrow/upgrade_event_flat_row.rs | 3 - src/versions/mod.rs | 16 +++- .../protocol87702/events/init_data.rs | 1 + 12 files changed, 165 insertions(+), 55 deletions(-) diff --git a/src/arrow/ipc_writer.rs b/src/arrow/ipc_writer.rs index dac7bfa..236dbc7 100644 --- a/src/arrow/ipc_writer.rs +++ b/src/arrow/ipc_writer.rs @@ -18,7 +18,7 @@ pub fn write_batches( schema: arrow2::datatypes::Schema, chunks: &[Chunk>], ) -> Result<(), Box> { - let file = std::fs::File::create(&path)?; + let file = std::fs::File::create(path)?; let options = arrow2::io::ipc::write::WriteOptions { compression: None }; let mut writer = arrow2::io::ipc::write::FileWriter::new(file, schema, None, options); diff --git a/src/arrow/mod.rs b/src/arrow/mod.rs index 1fd6598..78ad750 100644 --- a/src/arrow/mod.rs +++ b/src/arrow/mod.rs @@ -5,6 +5,7 @@ use arrow2::{array::Array, chunk::Chunk, datatypes::DataType}; use arrow2_convert::serialize::FlattenChunk; #[cfg(feature = "arrow")] use arrow2_convert::{field::ArrowField, serialize::TryIntoArrow}; +use init_data::InitData; #[cfg(feature = "arrow")] use rayon::prelude::*; @@ -15,7 +16,9 @@ use clap::Subcommand; use std::path::PathBuf; pub mod ipc_writer; use ipc_writer::*; +use std::collections::HashSet; +/// The supported Arrow IPC types #[derive(Debug, Subcommand)] pub enum ArrowIpcTypes { /// Writes the [`crate::init_data::InitData`] flat row to an Arrow IPC file @@ -92,7 +95,7 @@ impl ArrowIpcTypes { #[tracing::instrument(level = "debug")] pub fn handle_write_command( &self, - sources: Vec, + sources: Vec, output: PathBuf, ) -> Result<(), Box> { match self { @@ -131,17 +134,14 @@ impl ArrowIpcTypes { #[tracing::instrument(level = "debug")] pub fn handle_init_data_ipc_cmd( &self, - sources: Vec, + sources: Vec, output: PathBuf, ) -> Result<(), Box> { tracing::info!("Processing InitData IPC write request"); // process the sources in parallel consuming into the batch variable - let res: Box = sources - .par_iter() - .filter_map(|source| crate::init_data::InitData::try_from(source.clone()).ok()) - .collect::>() - .try_into_arrow()?; + let res: Box = sources.try_into_arrow()?; + tracing::info!("Loaded {} records", res.len()); let chunk = Chunk::new([res].to_vec()).flatten()?; write_batches(output, self.schema(), &[chunk])?; @@ -154,7 +154,7 @@ impl ArrowIpcTypes { #[tracing::instrument(level = "debug")] pub fn handle_tracker_events( &self, - sources: Vec, + sources: Vec, output: PathBuf, ) -> Result<(), Box> { tracing::info!("Processing TrackerEvents IPC write request: {:?}", self); @@ -164,8 +164,9 @@ impl ArrowIpcTypes { let total_records = sources .par_iter() .filter_map(|source| { + let source = PathBuf::from(&source.file_name); let details = crate::details::Details::try_from(source.clone()).ok()?; - let tracker_events = TrackerEventIterator::new(source).ok()?; + let tracker_events = TrackerEventIterator::new(&source).ok()?; let (res, batch_len): (Box, usize) = match self { Self::Stats => { let batch = tracker_events.collect_into_player_stats_flat_rows(&details); @@ -196,14 +197,16 @@ impl ArrowIpcTypes { #[tracing::instrument(level = "debug")] pub fn handle_details_ipc_cmd( &self, - sources: Vec, + sources: Vec, output: PathBuf, ) -> Result<(), Box> { tracing::info!("Processing Details IPC write request"); // process the sources in parallel consuming into the batch variable let res: Box = sources .par_iter() - .filter_map(|source| crate::details::Details::try_from(source.clone()).ok()) + .filter_map(|source| { + crate::details::Details::try_from(PathBuf::from(&source.file_name)).ok() + }) .collect::>() .try_into_arrow()?; tracing::info!("Loaded {} records", res.len()); @@ -218,14 +221,62 @@ impl ArrowIpcTypes { &self, source: PathBuf, output: PathBuf, + cmd: &WriteArrowIpcProps, ) -> Result<(), Box> { - tracing::info!("Processing Arrow write request"); - let sources = get_matching_files(source)?; + tracing::info!( + "Processing Arrow write request with scan_max_files: {}, traverse_max_depth: {}, process_max_files: {}, min_version: {:?}, max_version: {:?}", + cmd.scan_max_files, + cmd.process_max_files, + cmd.traverse_max_depth, + cmd.min_version, + cmd.max_version + ); + let sources = get_matching_files(source, cmd.scan_max_files, cmd.traverse_max_depth)?; + tracing::info!("Scanned {} files", sources.len()); + let mut sources: Vec = sources + .par_iter() + .filter_map(|source| crate::init_data::InitData::try_from(source.clone()).ok()) + .collect::>() + .into_iter() + .filter(|source| { + if let Some(min_version) = cmd.min_version { + if source.version < min_version { + return false; + } + } + if let Some(max_version) = cmd.max_version { + if source.version > max_version { + return false; + } + } + true + }) + .take(cmd.process_max_files) + .collect(); if sources.is_empty() { panic!("No files found"); - } else { - tracing::info!("Found {} files", sources.len()); } + // Identify the shortest unique sha256 hash fragment. + let mut smallest_fragment = 1; + while smallest_fragment < 64 { + let mut hash_set = HashSet::new(); + for source in sources.iter() { + let hash = source.sha256.clone(); + hash_set.insert(hash[..smallest_fragment].to_string()); + } + if hash_set.len() == sources.len() { + break; + } + smallest_fragment += 1; + } + for source in sources.iter_mut() { + source.trim_sha(smallest_fragment) + } + tracing::info!( + "Found {} readable files, sha256 fragment size: {}", + sources.len(), + smallest_fragment + ); self.handle_write_command(sources, output) } } diff --git a/src/cli.rs b/src/cli.rs index 43e316b..9d242a5 100644 --- a/src/cli.rs +++ b/src/cli.rs @@ -7,12 +7,12 @@ use crate::read_details; use crate::read_init_data; use crate::read_message_events; use crate::tracker_events::iterator::TrackerEventIterator; -use clap::{Parser, Subcommand}; +use clap::{Args, Parser, Subcommand}; use nom_mpq::parser; use std::iter::Iterator; use std::path::PathBuf; -#[derive(Subcommand)] +#[derive(Subcommand, Debug)] enum ReadTypes { /// Reads the tracker events from an SC2Replay MPQ Archive TrackerEvents, @@ -28,7 +28,7 @@ enum ReadTypes { TransistEvents, } -#[derive(Subcommand)] +#[derive(Subcommand, Debug)] enum Commands { /// Generates Rust code for a specific protocol. Generate, @@ -39,11 +39,35 @@ enum Commands { /// Writes Arrow IPC files for a specific event type from the SC2Replay MPQ Archive #[cfg(feature = "arrow")] + WriteArrowIpc(WriteArrowIpcProps), +} + +// Create a subcommand that handles the max depth and max files to process + +#[cfg(feature = "arrow")] +#[derive(Args, Debug)] +pub struct WriteArrowIpcProps { + /// Reads these many files recursing, these files may or may not be valid. + #[arg(long, default_value = "1000000")] + pub scan_max_files: usize, + /// The maximum number of files to process + #[arg(long, default_value = "1000000")] + pub process_max_files: usize, + /// The maximum directory depth to traverse + #[arg(long, default_value = "8")] + pub traverse_max_depth: usize, + /// The minimum protocol version + #[arg(long)] + pub min_version: Option, + /// The maximum protocol version + #[arg(long)] + pub max_version: Option, + /// Writes the [`crate::init_data::InitData`] flat row to an Arrow IPC file #[command(subcommand)] - WriteArrowIpc(ArrowIpcTypes), + kind: ArrowIpcTypes, } -#[derive(Parser)] +#[derive(Parser, Debug)] #[command(author, version, about, long_about = None)] struct Cli { /// Sets the source of the data, can be a file or directory. @@ -69,15 +93,36 @@ struct Cli { /// Matches a list of files in case the cli.source param is a directory #[tracing::instrument(level = "debug")] -pub fn get_matching_files(source: PathBuf) -> Result, Box> { +pub fn get_matching_files( + source: PathBuf, + max_files: usize, + max_depth: usize, +) -> Result, Box> { + if max_depth == 0 { + tracing::info!("Reached max depth"); + return Ok(Vec::new()); + } if source.is_dir() { + // if this is a directory, let's recurse to go through subdirectories. let mut sources = Vec::new(); for entry in std::fs::read_dir(source)? { let entry = entry?; let path = entry.path(); - // the filename must end in .SC2Replay - if let Some(ext) = path.extension() { + if path.is_dir() { + let mut sub_dir = get_matching_files(path, max_files, max_depth - 1)?; + if !sub_dir.is_empty() { + // store n sub_dir files without breaking the max_files limit + let remaining = max_files - sources.len(); + if sub_dir.len() > remaining { + sub_dir.truncate(remaining); + } + sources.append(&mut sub_dir); + } + } else if let Some(ext) = path.extension() { if ext == "SC2Replay" && path.is_file() { + if sources.len() >= max_files { + break; + } sources.push(path); } } @@ -186,9 +231,10 @@ pub fn process_cli_request() -> Result<(), Box> { } } Commands::WriteArrowIpc(cmd) => { - cmd.handle_arrow_ipc_cmd( + cmd.kind.handle_arrow_ipc_cmd( PathBuf::from(&cli.source), PathBuf::from(&cli.output.expect("Requires --output")), + cmd, )?; } } diff --git a/src/details.rs b/src/details.rs index 1120879..e026f23 100644 --- a/src/details.rs +++ b/src/details.rs @@ -62,11 +62,12 @@ impl Details { } /// Attempts to find the player id from the player_list vector. - /// The player_id in this vector is off by one on the player_id in the tracker events. + /// The player_id in this vector is off by one on the player_id in the tracker events, or is + /// it? We should check this. pub fn get_player_name(&self, event_player_id: u8) -> String { self.player_list .iter() - .find(|player| player.working_set_slot_id == Some(event_player_id - 1)) + .find(|player| player.working_set_slot_id == Some(event_player_id)) .map(|player| { // The player name may be prepend by its clan. // The clan seems to be URL encoded like "<&CLAN>PLAYERNAME" diff --git a/src/init_data/mod.rs b/src/init_data/mod.rs index 589a931..928c5dd 100644 --- a/src/init_data/mod.rs +++ b/src/init_data/mod.rs @@ -15,25 +15,25 @@ use std::path::PathBuf; derive(ArrowField, ArrowSerialize, ArrowDeserialize) )] pub struct InitData { + /// The lobby state pub sync_lobby_state: LobbySyncState, + /// The sha256 of the file, prevent duplicates and provide a unique identifier pub sha256: String, + /// The file name pub file_name: String, + /// The version of the protocol + pub version: u32, } impl InitData { /// Calls the per-protocol parser for the InitData and sets the metadadata. + #[tracing::instrument(level = "error", skip(file_contents, mpq))] pub fn new(file_name: &str, mpq: &MPQ, file_contents: &[u8]) -> Result { - let init_data = match crate::versions::read_init_data(file_name, mpq, file_contents) { - Ok(init_data) => init_data, - Err(err) => { - tracing::error!("Error reading init_data: {:?}", err); - return Err(err); - } - }; + let init_data = crate::versions::read_init_data(file_name, mpq, file_contents)?; Ok(init_data.set_metadata(file_name, file_contents)) } - #[tracing::instrument(level = "debug")] + #[tracing::instrument(level = "debug", skip(file_contents))] #[cfg(feature = "arrow")] pub fn set_metadata(mut self, file_name: &str, file_contents: &[u8]) -> Self { // TODO: We need to find a way to trim the sha just like git rev-parse, @@ -44,6 +44,18 @@ impl InitData { self.file_name = file_name.to_string(); self } + + #[tracing::instrument(level = "error")] + pub fn set_version(&mut self, version: u32) { + self.version = version; + } + + /// Trim the sha to n characters, this is done to reduce the size of the generated files + /// because every sha is unique and we don't need the full sha to identify the file. + #[tracing::instrument(level = "debug", skip(self))] + pub fn trim_sha(&mut self, n: usize) { + self.sha256 = self.sha256.chars().take(n).collect() + } } impl TryFrom for InitData { @@ -60,10 +72,7 @@ impl TryFrom for InitData { Ok(init_data) => { Ok(init_data.set_metadata(path.to_str().unwrap_or_default(), &file_contents)) } - Err(err) => { - tracing::error!("Error reading initdata: {:?}", err); - Err(err) - } + Err(err) => Err(err), } } } diff --git a/src/state/mod.rs b/src/state/mod.rs index 739ad51..284f54b 100644 --- a/src/state/mod.rs +++ b/src/state/mod.rs @@ -52,6 +52,8 @@ pub struct SC2Unit { pub is_selected: bool, /// Whether the unit is in Initializing state, for example morphing. pub is_init: bool, + /// The unit tag index + pub tag_index: u32, } /// Supported event types. diff --git a/src/tracker_events/arrow/player_stats_flat_row.rs b/src/tracker_events/arrow/player_stats_flat_row.rs index 507719b..9892783 100644 --- a/src/tracker_events/arrow/player_stats_flat_row.rs +++ b/src/tracker_events/arrow/player_stats_flat_row.rs @@ -58,7 +58,6 @@ pub struct PlayerStatsFlatRow { pub ext_replay_loop: i64, pub ext_replay_seconds: u32, pub ext_fs_replay_sha256: String, - pub ext_replay_detail_player_name: String, } impl PlayerStatsFlatRow { @@ -69,7 +68,6 @@ impl PlayerStatsFlatRow { details: crate::details::Details, ) -> Self { let ext_replay_seconds = crate::convert_tracker_loop_to_seconds(ext_replay_loop); - let ext_replay_detail_player_name = details.get_player_name(event.player_id); let stats = event.stats; Self { player_id: event.player_id, @@ -115,7 +113,6 @@ impl PlayerStatsFlatRow { ext_replay_loop, ext_replay_seconds, ext_fs_replay_sha256: details.ext_fs_replay_sha256, - ext_replay_detail_player_name, } } } diff --git a/src/tracker_events/arrow/unit_born_event_flat_row.rs b/src/tracker_events/arrow/unit_born_event_flat_row.rs index 6fa3a66..b2f07a7 100644 --- a/src/tracker_events/arrow/unit_born_event_flat_row.rs +++ b/src/tracker_events/arrow/unit_born_event_flat_row.rs @@ -29,7 +29,6 @@ pub struct UnitBornEventFlatRow { pub ext_replay_loop: i64, pub ext_replay_seconds: u32, pub ext_fs_replay_sha256: String, - pub ext_replay_detail_player_name: String, } impl UnitBornEventFlatRow { @@ -42,7 +41,6 @@ impl UnitBornEventFlatRow { details: &crate::details::Details, ) -> Self { let ext_replay_seconds = crate::convert_tracker_loop_to_seconds(ext_replay_loop); - let ext_replay_detail_player_name = details.get_player_name(event.control_player_id); Self { unit_tag_index: event.unit_tag_index, unit_tag_recycle: event.unit_tag_recycle, @@ -57,7 +55,6 @@ impl UnitBornEventFlatRow { ext_replay_loop, ext_replay_seconds, ext_fs_replay_sha256: details.ext_fs_replay_sha256.clone(), - ext_replay_detail_player_name, } } @@ -76,7 +73,6 @@ impl UnitBornEventFlatRow { _ => unreachable!(), }; let ext_replay_seconds = crate::convert_tracker_loop_to_seconds(ext_replay_loop); - let ext_replay_detail_player_name = details.get_player_name(unit.user_id.unwrap_or(99)); Self { unit_tag_index: event.unit_tag_index, unit_tag_recycle: event.unit_tag_recycle, @@ -91,7 +87,6 @@ impl UnitBornEventFlatRow { ext_replay_loop, ext_replay_seconds, ext_fs_replay_sha256: details.ext_fs_replay_sha256.clone(), - ext_replay_detail_player_name, } } @@ -109,7 +104,6 @@ impl UnitBornEventFlatRow { _ => unreachable!(), }; let ext_replay_seconds = crate::convert_tracker_loop_to_seconds(ext_replay_loop); - let ext_replay_detail_player_name = details.get_player_name(unit.user_id.unwrap_or(99)); Self { unit_tag_index: event.unit_tag_index, unit_tag_recycle: event.unit_tag_recycle, @@ -124,7 +118,6 @@ impl UnitBornEventFlatRow { ext_replay_loop, ext_replay_seconds, ext_fs_replay_sha256: details.ext_fs_replay_sha256.clone(), - ext_replay_detail_player_name, } } } diff --git a/src/tracker_events/arrow/unit_died_event_flat_row.rs b/src/tracker_events/arrow/unit_died_event_flat_row.rs index 978eae6..5792a96 100644 --- a/src/tracker_events/arrow/unit_died_event_flat_row.rs +++ b/src/tracker_events/arrow/unit_died_event_flat_row.rs @@ -29,6 +29,9 @@ pub struct UnitDiedEventFlatRow { pub ext_replay_loop: i64, pub ext_replay_seconds: u32, pub ext_fs_replay_sha256: String, + // TODO: Deprecate this field, it can be calculated by joining the Details IPC. + // We'd need to enrich the Details player_list with the full name {}-{}-{}-{} with realm, + // user_id, etc and right nthe get_player_name may be wrong. pub ext_replay_detail_killer_player_name: String, } diff --git a/src/tracker_events/arrow/upgrade_event_flat_row.rs b/src/tracker_events/arrow/upgrade_event_flat_row.rs index 8ebb635..2ad8188 100644 --- a/src/tracker_events/arrow/upgrade_event_flat_row.rs +++ b/src/tracker_events/arrow/upgrade_event_flat_row.rs @@ -20,7 +20,6 @@ pub struct UpgradeEventFlatRow { pub ext_replay_loop: i64, pub ext_replay_seconds: u32, pub ext_fs_replay_sha256: String, - pub ext_replay_detail_player_name: String, } impl UpgradeEventFlatRow { @@ -31,7 +30,6 @@ impl UpgradeEventFlatRow { details: crate::details::Details, ) -> Self { let ext_replay_seconds = crate::convert_tracker_loop_to_seconds(ext_replay_loop); - let ext_replay_detail_player_name = details.get_player_name(event.player_id); Self { player_id: event.player_id, name: event.upgrade_type_name, @@ -39,7 +37,6 @@ impl UpgradeEventFlatRow { ext_replay_loop, ext_replay_seconds, ext_fs_replay_sha256: details.ext_fs_replay_sha256, - ext_replay_detail_player_name, } } } diff --git a/src/versions/mod.rs b/src/versions/mod.rs index 319a0b3..c66dbb2 100644 --- a/src/versions/mod.rs +++ b/src/versions/mod.rs @@ -136,20 +136,20 @@ pub fn read_details( } /// Attempts to read the initData, panics under unknown protocol -#[tracing::instrument(level = "debug", skip(mpq, file_contents))] +#[tracing::instrument(level = "error", skip(mpq, file_contents, file_name))] pub fn read_init_data( file_name: &str, mpq: &MPQ, file_contents: &[u8], ) -> Result { let (_tail, proto_header) = crate::read_protocol_header(mpq)?; - tracing::debug!( + tracing::info!( "Proto version: {:?} reading InitData from {:?}", proto_header.m_version.m_base_build, file_name ); assert_eq!(proto_header.m_signature, b"StarCraft II replay\x1b11"[..]); - match proto_header.m_version.m_base_build { + let res = match proto_header.m_version.m_base_build { 0..=75689 => protocol75689::bit_packed::ReplaySInitData::read_init_data(mpq, file_contents), 83830 | 84643 | 88500 | 86383 | 87702 | 89634 | 89165 | 89720 | 90136 | 90779 | 90870 => { protocol87702::bit_packed::ReplaySInitData::read_init_data(mpq, file_contents) @@ -161,6 +161,16 @@ pub fn read_init_data( ); protocol87702::bit_packed::ReplaySInitData::read_init_data(mpq, file_contents) } + }; + match res { + Ok(mut res) => { + res.set_version(proto_header.m_version.m_base_build); + Ok(res) + } + Err(e) => { + tracing::error!("Error reading InitData: {:?}", e); + Err(e) + } } } #[cfg(test)] diff --git a/src/versions/protocol87702/events/init_data.rs b/src/versions/protocol87702/events/init_data.rs index 1d9b0c4..c040ee0 100644 --- a/src/versions/protocol87702/events/init_data.rs +++ b/src/versions/protocol87702/events/init_data.rs @@ -23,6 +23,7 @@ impl TryFrom for InitData { sync_lobby_state, sha256: "".to_string(), file_name: "".to_string(), + version: 0, }) } } From ea6f4bb88def142eeed53ab7c3e940d02ea9c6c7 Mon Sep 17 00:00:00 2001 From: Seb Ospina Date: Sun, 25 Feb 2024 21:15:39 +0100 Subject: [PATCH 4/9] Return SC2Unit from Iterator rather than u32 ID references to allow easy inspection Signed-off-by: Seb Ospina --- src/game_events/state.rs | 49 ++++++++++++++++++++++++++++--------- src/state/mod.rs | 38 ++++++++++++++++++++++------ src/tracker_events/state.rs | 12 +++++++-- 3 files changed, 78 insertions(+), 21 deletions(-) diff --git a/src/game_events/state.rs b/src/game_events/state.rs index 283e040..d109310 100644 --- a/src/game_events/state.rs +++ b/src/game_events/state.rs @@ -43,17 +43,22 @@ pub fn handle_update_target_point( -1. * target_point.y as f32 / GAME_EVENT_POS_RATIO, target_point.z as f32 / GAME_EVENT_POS_RATIO, ); - let mut user_selected_units: Vec = vec![]; + let mut user_selected_unit_ids: Vec = vec![]; if let Some(state) = sc2_state.user_state.get(&user_id) { - user_selected_units = state.control_groups[ACTIVE_UNITS_GROUP_IDX].clone(); + user_selected_unit_ids = state.control_groups[ACTIVE_UNITS_GROUP_IDX].clone(); } - for selected_unit in &user_selected_units { + for selected_unit in &user_selected_unit_ids { let unit_index = unit_tag_index(*selected_unit as i64); if let Some(ref mut registered_unit) = sc2_state.units.get_mut(&unit_index) { registered_unit.target = Some(unit_target_pos.clone()); registered_unit.last_game_loop = game_loop; } } + let user_selected_units = user_selected_unit_ids + .iter() + .filter_map(|id| sc2_state.units.get(&id)) + .cloned() + .collect(); UnitChangeHint::Batch(user_selected_units) } @@ -72,18 +77,30 @@ pub fn handle_update_target_unit( -1. * target_unit.m_snapshot_point.y as f32 / GAME_EVENT_POS_RATIO, target_unit.m_snapshot_point.z as f32 / GAME_EVENT_POS_RATIO, ); - let mut user_selected_units: Vec = vec![]; + let target_unit = match sc2_state.units.get(&target_unit.m_tag) { + Some(x) => x.clone(), + None => { + tracing::warn!("Unit not found for target unit: {}", target_unit.m_tag); + return UnitChangeHint::None; + } + }; + let mut user_selected_unit_ids: Vec = vec![]; if let Some(state) = sc2_state.user_state.get(&user_id) { - user_selected_units = state.control_groups[ACTIVE_UNITS_GROUP_IDX].clone(); + user_selected_unit_ids = state.control_groups[ACTIVE_UNITS_GROUP_IDX].clone(); } - for selected_unit in &user_selected_units { + for selected_unit in &user_selected_unit_ids { let unit_index = unit_tag_index(*selected_unit as i64); if let Some(ref mut registered_unit) = sc2_state.units.get_mut(&unit_index) { registered_unit.target = Some(unit_target_pos.clone()); registered_unit.last_game_loop = game_loop; } } - UnitChangeHint::BatchWithTarget(user_selected_units, target_unit.m_tag) + let user_selected_units = user_selected_unit_ids + .iter() + .filter_map(|id| sc2_state.units.get(&id)) + .cloned() + .collect(); + UnitChangeHint::BatchWithTarget(user_selected_units, target_unit) } /// Removes the changes to the units that signify they are selected. @@ -93,7 +110,7 @@ pub fn unmark_previously_selected_units( game_loop: i64, user_id: i64, ) -> UnitChangeHint { - let mut updated_units = vec![]; + let mut updated_unit_ids = vec![]; if let Some(state) = sc2_state.user_state.get_mut(&user_id) { for prev_unit in &state.control_groups[ACTIVE_UNITS_GROUP_IDX] { let unit_index = unit_tag_index(*prev_unit as i64); @@ -101,12 +118,17 @@ pub fn unmark_previously_selected_units( if unit.is_selected { unit.is_selected = false; unit.radius *= 0.5; - updated_units.push(unit_index); + updated_unit_ids.push(unit_index); } unit.last_game_loop = game_loop; } } } + let updated_units = updated_unit_ids + .iter() + .filter_map(|id| sc2_state.units.get(&id)) + .cloned() + .collect(); UnitChangeHint::Batch(updated_units) } @@ -118,18 +140,23 @@ pub fn mark_selected_units( _user_id: i64, selected_units: &[u32], ) -> UnitChangeHint { - let mut updated_units = vec![]; + let mut updated_unit_ids = vec![]; for new_selected_unit in selected_units { let unit_index = unit_tag_index(*new_selected_unit as i64); if let Some(ref mut unit) = sc2_state.units.get_mut(&unit_index) { if !unit.is_selected { unit.is_selected = true; unit.radius *= 2.0; - updated_units.push(unit_index); + updated_unit_ids.push(unit_index); } unit.last_game_loop = game_loop; } } + let updated_units = updated_unit_ids + .iter() + .filter_map(|id| sc2_state.units.get(&id)) + .cloned() + .collect(); UnitChangeHint::Batch(updated_units) } diff --git a/src/state/mod.rs b/src/state/mod.rs index 284f54b..66c5be1 100644 --- a/src/state/mod.rs +++ b/src/state/mod.rs @@ -28,8 +28,10 @@ pub const TRACKER_SPEED_RATIO: f32 = 0.70996; pub const ACTIVE_UNITS_GROUP_IDX: usize = 10usize; /// Unit Attributes, this changes through time as the state machine overwrites the values. -#[derive(Debug, Default, PartialEq, Clone, Serialize, Deserialize)] +#[derive(Debug, Default, Clone, Serialize, Deserialize)] pub struct SC2Unit { + /// The tag index of the unit. + pub tag_index: u32, /// The last time the unit was updated pub last_game_loop: i64, /// The owner user_id @@ -52,10 +54,28 @@ pub struct SC2Unit { pub is_selected: bool, /// Whether the unit is in Initializing state, for example morphing. pub is_init: bool, - /// The unit tag index - pub tag_index: u32, } +impl Ord for SC2Unit { + fn cmp(&self, other: &Self) -> std::cmp::Ordering { + self.tag_index.cmp(&other.tag_index) + } +} + +impl PartialEq for SC2Unit { + fn eq(&self, other: &Self) -> bool { + self.tag_index == other.tag_index + } +} + +impl PartialOrd for SC2Unit { + fn partial_cmp(&self, other: &Self) -> Option { + Some(self.cmp(other)) + } +} + +impl Eq for SC2Unit {} + /// Supported event types. #[derive(Debug, Clone, Serialize, Deserialize)] pub enum SC2EventType { @@ -94,10 +114,10 @@ pub enum UnitChangeHint { /// A unit has been added, the full unit is returned in case the caller wants to inspect it. /// This covers UnitBorn, InitInit, UnitDone, and UnitTypeChange. Registered(SC2Unit), - /// Unit positions are being reported, the indexes in the unit registry are returned. - Batch(Vec), + /// Unit positions are being reported, a vector of units changed is returned. + Batch(Vec), /// Selected units in the first item of the tuple (.0) are targetting the unit on the second item of the tuple (.1) - BatchWithTarget(Vec, u32), + BatchWithTarget(Vec, SC2Unit), /// A unit has been deleted from the state registry, the full killer unit information and the /// killed unit is returned. Killer is cloned and may be expensive. Unregistered { @@ -152,7 +172,7 @@ pub struct SC2EventIterator { /// The protocol version protocol_version: u32, /// The replay state machine transducer - sc2_state: SC2ReplayState, + pub sc2_state: SC2ReplayState, /// The tracker event iterator. tracker_iterator_state: TrackertEventIteratorState, /// The game event iterator. @@ -223,7 +243,7 @@ impl Iterator for SC2EventIterator { type Item = (SC2EventType, UnitChangeHint); fn next(&mut self) -> Option { - // Fill the next_tracker_event and next_game_event if they are empty. + // Fill the next_tracker_event if they are empty. if self.next_tracker_event.is_none() { self.next_tracker_event = self .tracker_iterator_state @@ -233,6 +253,7 @@ impl Iterator for SC2EventIterator { &self.filters, ); } + // Likewise, fill the next game event if it's empty. if self.next_game_event.is_none() { self.next_game_event = self.game_iterator_state.transist_to_next_supported_event( self.protocol_version, @@ -240,6 +261,7 @@ impl Iterator for SC2EventIterator { &self.filters, ); } + // Now compare the adjusted game loops and return the event with the lowest one, be it game or tracker. let next_tracker_event_loop = self.get_tracker_loop(); let next_game_event_loop = self.get_game_loop(); if let Some(next_tracker_event_loop) = next_tracker_event_loop { diff --git a/src/tracker_events/state.rs b/src/tracker_events/state.rs index b8c98f3..4e276df 100644 --- a/src/tracker_events/state.rs +++ b/src/tracker_events/state.rs @@ -25,6 +25,7 @@ pub fn handle_unit_init( pos: Vec3D::new(unit_init.x as f32, unit_init.y as f32, 0.), init_game_loop: game_loop, is_init: true, + tag_index: unit_init.unit_tag_index, ..Default::default() }; tracing::debug!("Initializing unit: {:?}", sc2_unit); @@ -61,6 +62,7 @@ pub fn handle_unit_born( name: unit_born.unit_type_name.clone(), pos: Vec3D::new(unit_born.x as f32, unit_born.y as f32, 0.), init_game_loop: game_loop, + tag_index: unit_born.unit_tag_index, ..Default::default() }; sc2_state @@ -88,6 +90,7 @@ pub fn handle_unit_type_change( user_id: None, name: unit_change.unit_type_name.clone(), init_game_loop: game_loop, + tag_index: unit_change.unit_tag_index, ..Default::default() }; sc2_state @@ -124,11 +127,11 @@ pub fn handle_unit_position( game_loop: i64, unit_pos: &UnitPositionsEvent, ) -> UnitChangeHint { - let mut updated_units = vec![]; + let mut updated_unit_ids = vec![]; let unit_positions = unit_pos.clone().to_unit_positions_vec(); for unit_pos_item in &unit_positions { if let Some(ref mut sc2_unit) = sc2_state.units.get_mut(&unit_pos_item.tag) { - updated_units.push(unit_pos_item.tag); + updated_unit_ids.push(unit_pos_item.tag); sc2_unit.pos = Vec3D::new( unit_pos_item.x as f32 / UNIT_POSITION_RATIO, unit_pos_item.y as f32 / UNIT_POSITION_RATIO, @@ -142,6 +145,11 @@ pub fn handle_unit_position( ); } } + let updated_units = updated_unit_ids + .iter() + .filter_map(|id| sc2_state.units.get(&id)) + .cloned() + .collect(); UnitChangeHint::Batch(updated_units) } #[tracing::instrument(level = "debug", skip(sc2_state))] From 1310160ceadf5365847103da7b6ff771faacfb5f Mon Sep 17 00:00:00 2001 From: Seb Ospina Date: Tue, 27 Feb 2024 21:41:31 +0100 Subject: [PATCH 5/9] Clippy Lints Signed-off-by: Seb Ospina --- src/game_events/state.rs | 8 +-- src/generator/decoder_type.rs | 55 +++++++++++-------- src/generator/proto_morphist.rs | 6 +- src/protocol_version_decoder.rs | 2 +- src/tracker_events/state.rs | 2 +- src/versions/protocol87702/events/game/mod.rs | 11 +--- src/versions/protocol87702/events/mod.rs | 5 -- src/versions/protocol87702/mod.rs | 9 --- 8 files changed, 44 insertions(+), 54 deletions(-) diff --git a/src/game_events/state.rs b/src/game_events/state.rs index d109310..601645d 100644 --- a/src/game_events/state.rs +++ b/src/game_events/state.rs @@ -56,7 +56,7 @@ pub fn handle_update_target_point( } let user_selected_units = user_selected_unit_ids .iter() - .filter_map(|id| sc2_state.units.get(&id)) + .filter_map(|id| sc2_state.units.get(id)) .cloned() .collect(); UnitChangeHint::Batch(user_selected_units) @@ -97,7 +97,7 @@ pub fn handle_update_target_unit( } let user_selected_units = user_selected_unit_ids .iter() - .filter_map(|id| sc2_state.units.get(&id)) + .filter_map(|id| sc2_state.units.get(id)) .cloned() .collect(); UnitChangeHint::BatchWithTarget(user_selected_units, target_unit) @@ -126,7 +126,7 @@ pub fn unmark_previously_selected_units( } let updated_units = updated_unit_ids .iter() - .filter_map(|id| sc2_state.units.get(&id)) + .filter_map(|id| sc2_state.units.get(id)) .cloned() .collect(); UnitChangeHint::Batch(updated_units) @@ -154,7 +154,7 @@ pub fn mark_selected_units( } let updated_units = updated_unit_ids .iter() - .filter_map(|id| sc2_state.units.get(&id)) + .filter_map(|id| sc2_state.units.get(id)) .cloned() .collect(); UnitChangeHint::Batch(updated_units) diff --git a/src/generator/decoder_type.rs b/src/generator/decoder_type.rs index 04def82..2edbe69 100644 --- a/src/generator/decoder_type.rs +++ b/src/generator/decoder_type.rs @@ -34,6 +34,7 @@ impl DecoderType { } /// Closes the struct main parse function. + #[allow(clippy::useless_format)] fn close_byte_aligned_struct_main_parse_fn() -> String { format!("}}") } @@ -65,6 +66,7 @@ impl DecoderType { } /// Closes the struct main parse function. + #[allow(clippy::useless_format)] fn close_bit_packed_struct_main_parse_fn() -> String { format!("}}") } @@ -325,6 +327,7 @@ impl DecoderType { } #[tracing::instrument(level = "debug")] + #[allow(clippy::useless_format)] pub fn close_byte_aligned_choice_main_parse_fn() -> String { format!("}}") } @@ -350,6 +353,7 @@ impl DecoderType { ) } #[tracing::instrument(level = "debug")] + #[allow(clippy::useless_format)] pub fn close_bit_packed_choice_main_parse_fn() -> String { format!("}}") } @@ -415,6 +419,7 @@ impl DecoderType { level = "debug", skip(proto_mod, proto_type_def, struct_parse_impl_def, type_impl_def,) )] + #[allow(clippy::useless_format)] pub fn gen_byte_aligned_proto_struct_code( proto_mod: &Value, proto_type_def: &mut String, @@ -424,11 +429,7 @@ impl DecoderType { let decoder = DecoderType::ByteAligned; //output.write_all(format!("\n/*{:#}*/\n", proto_mod).as_bytes())?; let field_array = proto_mod["type_info"]["fields"].as_array().unwrap(); - let has_tags = if field_array.len() == 1 && field_array[0]["tag"] == Value::Null { - false - } else { - true - }; + let has_tags = !(field_array.len() == 1 && field_array[0]["tag"] == Value::Null); let mut struct_parse_return = String::from("Ok((tail, Self {"); // Structs are prepend with the number of fields that follow, pressumably to account for // Optionals @@ -537,7 +538,7 @@ impl DecoderType { field["tag"]["type"] .as_str() .expect("Field should have .tag.type") - == String::from("IntLiteral") + == "IntLiteral" ); struct_parse_fields.push_str(&format!( " {proto_field_tag} => {{\n\ @@ -675,6 +676,7 @@ impl DecoderType { level = "debug", skip(proto_mod, proto_type_def, struct_parse_impl_def, type_impl_def,) )] + #[allow(clippy::useless_format)] pub fn gen_bit_packed_proto_struct_code( proto_mod: &Value, proto_type_def: &mut String, @@ -1014,7 +1016,7 @@ impl DecoderType { morph.rust_ty = morph.rust_ty.replace("{}", &enclosed_type); } let proto_field_tag = variant["tag"]["value"].as_str().unwrap(); - assert!(variant["tag"]["type"].as_str().unwrap() == String::from("IntLiteral")); + assert!(variant["tag"]["type"].as_str().unwrap() == "IntLiteral"); let field_type = &morph.rust_ty; let field_value_parser = &morph.parser; proto_type_def.push_str(&format!("({field_type}),\n")); @@ -1104,7 +1106,7 @@ impl DecoderType { morph.rust_ty = morph.rust_ty.replace("{}", &enclosed_type); } let proto_field_tag = variant["tag"]["value"].as_str().unwrap(); - assert!(variant["tag"]["type"].as_str().unwrap() == String::from("IntLiteral")); + assert!(variant["tag"]["type"].as_str().unwrap() == "IntLiteral"); let field_type = &morph.rust_ty; let field_value_parser = &morph.parser; proto_type_def.push_str(&format!("({field_type}),\n")); @@ -1197,6 +1199,7 @@ impl DecoderType { ) } + #[allow(clippy::useless_format)] pub fn close_byte_aligned_int_main_parse_fn() -> String { format!("}}") } @@ -1210,17 +1213,15 @@ impl DecoderType { .expect("Missing have .max.evalue string") .parse::() .expect(".max.evalue must be parseable usize"); - if bounds["min"]["inclusive"] + if !bounds["min"]["inclusive"] .as_bool() .expect("Missing .min.inclusive") - == false { res -= 1.; } - if bounds["max"]["inclusive"] + if !bounds["max"]["inclusive"] .as_bool() .expect("Missing .max.inclusive") - == false { res -= 1.; }; @@ -1245,7 +1246,7 @@ impl DecoderType { String::from("PowExpr") } else { if bounds["max"]["evalue"].as_str().is_some() { - num_bits = Self::bounds_max_value_to_bit_size(&bounds); + num_bits = Self::bounds_max_value_to_bit_size(bounds); } bounds["type"].as_str().unwrap().to_string() }; @@ -1265,6 +1266,7 @@ impl DecoderType { ) } + #[allow(clippy::useless_format)] pub fn close_bit_packed_int_main_parse_fn() -> String { format!("}}") } @@ -1301,6 +1303,7 @@ impl DecoderType { ) } + #[allow(clippy::useless_format)] pub fn close_byte_aligned_user_type_main_parse_fn() -> String { format!("}}") } @@ -1322,6 +1325,7 @@ impl DecoderType { ) } + #[allow(clippy::useless_format)] pub fn close_bit_packed_user_type_main_parse_fn() -> String { format!("}}") } @@ -1357,7 +1361,7 @@ impl DecoderType { ) -> String { assert!(bounds["type"] == "MinMaxConstraint"); assert!(bounds["min"]["evalue"] == "0"); - let num_bits = Self::bounds_max_value_to_bit_size(&bounds); + let num_bits = Self::bounds_max_value_to_bit_size(bounds); format!( "#[tracing::instrument(name=\"{proto_num}::{name}::BitArrayType::Parse\", level = \"trace\", skip(input), fields(peek = peek_bits(input)))]\n\ pub fn parse(input: (&[u8], usize)) -> S2ProtoResult<(&[u8], usize), Self> {{\n\ @@ -1369,6 +1373,7 @@ impl DecoderType { ) } + #[allow(clippy::useless_format)] pub fn close_bit_packed_bit_array_main_parse_fn() -> String { format!("}}") } @@ -1402,7 +1407,7 @@ impl DecoderType { ) -> String { assert!(bounds["type"] == "ExactConstraint"); assert!(bounds["min"]["evalue"] == bounds["max"]["evalue"]); - let num_bits = Self::bounds_max_value_to_bit_size(&bounds); + let num_bits = Self::bounds_max_value_to_bit_size(bounds); format!( "#[tracing::instrument(name=\"{proto_num}::{name}::BlobType::Parse\", level = \"trace\", skip(input), fields(peek = peek_bits(input)))]\n\ pub fn parse(input: (&[u8], usize)) -> S2ProtoResult<(&[u8], usize), Self> {{\n\ @@ -1414,6 +1419,7 @@ impl DecoderType { ) } + #[allow(clippy::useless_format)] pub fn close_bit_packed_blob_main_parse_fn() -> String { format!("}}") } @@ -1465,6 +1471,7 @@ impl DecoderType { ) } + #[allow(clippy::useless_format)] pub fn close_bit_packed_string_main_parse_fn() -> String { format!("}}") } @@ -1509,7 +1516,7 @@ impl DecoderType { if bounds["max"]["inclusive"].as_bool() == Some(true) { array_max_value += 1.; } - let array_length_num_bits = ((array_max_value as f32).log2() + 1.).floor() as usize; + let array_length_num_bits = (array_max_value.log2() + 1.).floor() as usize; format!( "#[tracing::instrument(name=\"{proto_num}::{name}::ArrayType::Parse\", level = \"trace\", skip(input), fields(peek = peek_bits(input)))]\n\ pub fn parse(input: (&[u8], usize)) -> S2ProtoResult<(&[u8], usize), Self> {{\n\ @@ -1521,6 +1528,7 @@ impl DecoderType { ) } + #[allow(clippy::useless_format)] pub fn close_bit_packed_array_main_parse_fn() -> String { format!("}}") } @@ -1543,6 +1551,7 @@ impl DecoderType { ) } + #[allow(clippy::useless_format)] pub fn close_byte_aligned_array_main_parse_fn() -> String { format!("}}") } @@ -1572,6 +1581,7 @@ impl DecoderType { ) } + #[allow(clippy::useless_format)] pub fn close_byte_aligned_enum_main_parse_fn() -> String { // Close both the match and the function format!( @@ -1598,6 +1608,7 @@ impl DecoderType { ) } + #[allow(clippy::useless_format)] pub fn close_bit_packed_enum_main_parse_fn() -> String { // Close both the match and the function format!( @@ -1650,9 +1661,9 @@ impl DecoderType { if let Some(struct_name) = enum_tags.get(&variant_value_fullname) { proto_type_def.push_str(&format!("({struct_name})")); } - proto_type_def.push_str(&format!(",\n",)); + proto_type_def.push_str(",\n"); let proto_variant_value = variant["value"]["value"].as_str().unwrap(); - assert!(variant["value"]["type"].as_str().unwrap() == String::from("IntLiteral")); + assert!(variant["value"]["type"].as_str().unwrap() == "IntLiteral"); enum_parse_impl_def.push_str(&format!( " {proto_variant_value} => {{\n\ tracing::debug!(\"Variant {variant_name} for value '{proto_variant_value}'\");\n" @@ -1714,7 +1725,7 @@ impl DecoderType { type_impl_def: &mut String, ) { // The int_parse_impl_def already contains the int parsing functionality. - proto_type_def.push_str(&format!(" pub value: i64,")); + proto_type_def.push_str(" pub value: i64,"); type_impl_def.push_str(&int_parse_impl_def); } @@ -1727,7 +1738,7 @@ impl DecoderType { int_parse_impl_def: String, type_impl_def: &mut String, ) { - proto_type_def.push_str(&format!(" pub value: i64,")); + proto_type_def.push_str(" pub value: i64,"); type_impl_def.push_str(&int_parse_impl_def); } @@ -1766,7 +1777,7 @@ impl DecoderType { bit_packed_parse_impl_def: String, type_impl_def: &mut String, ) { - proto_type_def.push_str(&format!(" pub value: Vec,")); + proto_type_def.push_str(" pub value: Vec,"); type_impl_def.push_str(&bit_packed_parse_impl_def); } @@ -1801,7 +1812,7 @@ impl DecoderType { bit_packed_parse_impl_def: String, type_impl_def: &mut String, ) { - proto_type_def.push_str(&format!(" pub value: Vec,")); + proto_type_def.push_str(" pub value: Vec,"); type_impl_def.push_str(&bit_packed_parse_impl_def); } diff --git a/src/generator/proto_morphist.rs b/src/generator/proto_morphist.rs index f53bb0f..004a02a 100644 --- a/src/generator/proto_morphist.rs +++ b/src/generator/proto_morphist.rs @@ -34,7 +34,7 @@ impl ProtoMorphist { // Try to get the numeric part of the protocol. // The source path is called like: ./s2protocol/json/protocol87702.json let mut proto_num: String = format!("{:?}", json_proto_path.file_name().unwrap()); - proto_num.retain(|c| ('0'..='9').contains(&c)); + proto_num.retain(|c| c.is_ascii_digit()); let proto_num = proto_num.parse().unwrap(); let output = File::create(output_name)?; let mut json_definition_file = File::open(&json_proto_path).unwrap(); @@ -576,7 +576,7 @@ pub fn open_type_impl_def(name: &str) -> String { } /// Closes the type impl scope. -#[allow(clippy::useless_conversion)] +#[allow(clippy::useless_format)] pub fn close_type_impl_def() -> String { format!("}}\n") } @@ -589,7 +589,7 @@ pub fn proto_nnet_name_to_rust_name(nnet_name: &Value) -> String { /// Converts from a String Rust-friendly type, removing dots, "NNet" and making the case Pascal. pub fn str_nnet_name_to_rust_name(input: String) -> String { input - .replace(".", "") + .replace('.', "") .replace("NNet", "") .trim_matches('"') .to_case(Case::Pascal) diff --git a/src/protocol_version_decoder.rs b/src/protocol_version_decoder.rs index a63ddb4..00d618d 100644 --- a/src/protocol_version_decoder.rs +++ b/src/protocol_version_decoder.rs @@ -49,7 +49,7 @@ impl ProtocolHeader { } /// Read the protocol header, this can be read with any protocol -pub fn read_protocol_header<'a>(mpq: &'a MPQ) -> S2ProtoResult<&'a [u8], ReplaySHeader> { +pub fn read_protocol_header(mpq: &MPQ) -> S2ProtoResult<&[u8], ReplaySHeader> { let user_data = mpq .user_data .as_ref() diff --git a/src/tracker_events/state.rs b/src/tracker_events/state.rs index 4e276df..7db83b9 100644 --- a/src/tracker_events/state.rs +++ b/src/tracker_events/state.rs @@ -147,7 +147,7 @@ pub fn handle_unit_position( } let updated_units = updated_unit_ids .iter() - .filter_map(|id| sc2_state.units.get(&id)) + .filter_map(|id| sc2_state.units.get(id)) .cloned() .collect(); UnitChangeHint::Batch(updated_units) diff --git a/src/versions/protocol87702/events/game/mod.rs b/src/versions/protocol87702/events/game/mod.rs index d2b8573..d875c5d 100644 --- a/src/versions/protocol87702/events/game/mod.rs +++ b/src/versions/protocol87702/events/game/mod.rs @@ -8,19 +8,12 @@ use nom::*; use nom_mpq::MPQ; pub mod camera; -pub use camera::*; pub mod cmd; -pub use cmd::*; +pub mod control_group; pub mod mouse; -pub use mouse::*; -pub mod unit; -pub use unit::*; pub mod selection; -pub use selection::*; -pub mod control_group; -pub use control_group::*; +pub mod unit; pub mod user; -pub use user::*; impl GameEEventId { /// Reads a delta, GameEvent set diff --git a/src/versions/protocol87702/events/mod.rs b/src/versions/protocol87702/events/mod.rs index f57801f..2a2489d 100644 --- a/src/versions/protocol87702/events/mod.rs +++ b/src/versions/protocol87702/events/mod.rs @@ -7,9 +7,4 @@ pub mod init_data; pub mod message; pub mod tracker; pub use super::*; -pub use common::*; -pub use details::*; pub use game::*; -pub use init_data::*; -pub use message::*; -pub use tracker::*; diff --git a/src/versions/protocol87702/mod.rs b/src/versions/protocol87702/mod.rs index 56b7018..d742fad 100644 --- a/src/versions/protocol87702/mod.rs +++ b/src/versions/protocol87702/mod.rs @@ -4918,7 +4918,6 @@ pub mod byte_aligned { )) } } - } pub mod bit_packed { //! Generated code from source: ../s2protocol/json/protocol87702.json @@ -7843,7 +7842,6 @@ pub mod bit_packed { for _ in 0..array_length { let (new_tail, data) = Uint8::parse(tail)?; tail = new_tail; - let data = data; array.push(data); } Ok((tail, array)) @@ -9057,7 +9055,6 @@ pub mod bit_packed { for _ in 0..array_length { let (new_tail, data) = Int32::parse(tail)?; tail = new_tail; - let data = data; array.push(data); } Ok((tail, array)) @@ -9817,7 +9814,6 @@ pub mod bit_packed { for _ in 0..array_length { let (new_tail, data) = GameSHijackReplaySessionUserInfo::parse(tail)?; tail = new_tail; - let data = data; array.push(data); } Ok((tail, array)) @@ -9997,7 +9993,6 @@ pub mod bit_packed { for _ in 0..array_length { let (new_tail, data) = GameSHijackReplayGameUserInfo::parse(tail)?; tail = new_tail; - let data = data; array.push(data); } Ok((tail, array)) @@ -17734,7 +17729,6 @@ pub mod bit_packed { for _ in 0..array_length { let (new_tail, data) = GameSSelectionDeltaSubgroup::parse(tail)?; tail = new_tail; - let data = data; array.push(data); } Ok((tail, array)) @@ -17750,7 +17744,6 @@ pub mod bit_packed { for _ in 0..array_length { let (new_tail, data) = GameTUnitTag::parse(tail)?; tail = new_tail; - let data = data; array.push(data); } Ok((tail, array)) @@ -17956,7 +17949,6 @@ pub mod bit_packed { for _ in 0..array_length { let (new_tail, data) = GameTSyncChecksum::parse(tail)?; tail = new_tail; - let data = data; array.push(data); } Ok((tail, array)) @@ -17995,7 +17987,6 @@ pub mod bit_packed { for _ in 0..array_length { let (new_tail, data) = GameTSyncChecksum::parse(tail)?; tail = new_tail; - let data = data; array.push(data); } Ok((tail, array)) From c6018941e12feca82f9e64877604bfc65f54ccd0 Mon Sep 17 00:00:00 2001 From: Seb Ospina Date: Thu, 29 Feb 2024 20:47:49 +0100 Subject: [PATCH 6/9] Lint removing iterator Signed-off-by: Seb Ospina --- src/cli.rs | 1 - 1 file changed, 1 deletion(-) diff --git a/src/cli.rs b/src/cli.rs index 9d242a5..2bcceb8 100644 --- a/src/cli.rs +++ b/src/cli.rs @@ -9,7 +9,6 @@ use crate::read_message_events; use crate::tracker_events::iterator::TrackerEventIterator; use clap::{Args, Parser, Subcommand}; use nom_mpq::parser; -use std::iter::Iterator; use std::path::PathBuf; #[derive(Subcommand, Debug)] From ede314a60734110450cd23063a70cb08b561a77e Mon Sep 17 00:00:00 2001 From: Seb Ospina Date: Fri, 1 Mar 2024 20:23:16 +0100 Subject: [PATCH 7/9] Fix enum order Signed-off-by: Seb Ospina --- src/error.rs | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/src/error.rs b/src/error.rs index c588854..a1f167c 100644 --- a/src/error.rs +++ b/src/error.rs @@ -34,8 +34,8 @@ pub enum S2ProtocolError { /// Unable to parse a value that should have been an integer #[error("TryFromIntError")] ValueError(#[from] TryFromIntError), - #[error("IO Error")] /// An I/O Error + #[error("IO Error")] IoError(#[from] std::io::Error), /// The path provided was not a file #[error("Expected a file, but got a directory")] From 326ce1f5164d1e7e870b7fc4a6373cedc0af92ae Mon Sep 17 00:00:00 2001 From: Seb Ospina Date: Fri, 1 Mar 2024 20:24:32 +0100 Subject: [PATCH 8/9] Bump nom-mpq version with less panics Signed-off-by: Seb Ospina --- Cargo.toml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/Cargo.toml b/Cargo.toml index 7a3f526..dc8716a 100644 --- a/Cargo.toml +++ b/Cargo.toml @@ -19,7 +19,7 @@ clap = { version = "4.4", features = ["derive"] } serde_json = "1.0.91" serde = { version = "1.0.164", features = ["derive"] } convert_case = "0.6.0" -nom-mpq = "2.0.1" +nom-mpq = "2.0.2" colored = "2.0.4" arrow2 = { version = "0.17.0", features = ["io_print", "io_ipc"], optional = true } arrow2_convert = { version = "0.5.0", optional = true } From a97c5f5fff25e83a212f3952575f8f7eeec9758d Mon Sep 17 00:00:00 2001 From: Seb Ospina Date: Fri, 1 Mar 2024 20:33:17 +0100 Subject: [PATCH 9/9] Bump version/ update docs Signed-off-by: Seb Ospina --- Cargo.toml | 2 +- README.md | 11 ++--------- 2 files changed, 3 insertions(+), 10 deletions(-) diff --git a/Cargo.toml b/Cargo.toml index dc8716a..04c557c 100644 --- a/Cargo.toml +++ b/Cargo.toml @@ -1,7 +1,7 @@ [package] name = "s2protocol" description = "A parser for Starcraft II - Replay format, exports to different target formats" -version = "3.0.3" +version = "3.0.4" authors = ["Seb Ospina "] edition = "2021" readme = "README.md" diff --git a/README.md b/README.md index 38fa467..706855d 100644 --- a/README.md +++ b/README.md @@ -15,8 +15,8 @@ information it packs. From the available data, analytics, visualizations and generative art can be created, for example by using +- jupyter notebook in [s2-polars-data-analysis](https://github.com/sebosp/s2-polars-data-analysis) - [rerun](https://github.com/rerun-io/rerun) : See the repo [swarmy](https://github.com/sebosp/swarmy) -- [lyon](https://github.com/nical/lyon) (PoC in progress in cooper) - [yew](https://github.com/yewstack/yew) [cooper](https://github.com/sebosp/cooper) - [eframe/egui](https://github.com/emilk/egui): See repo [eframes-c2](https://github.com/sebosp/eframe-sc2) - [bevyengine/bevy](https://github.com/bevyengine/bevy) can be used to see: @@ -130,13 +130,6 @@ $ # List the max number of minerals that were lost in per map when the army was - [ ] Support for MPQ embedded file: `replay.gamemetadata.json` - [ ] Support for MPQ embedded file: `replay.attributes.events` -## Current issues - -In the arrow file generation, sha256 digest is used to detect duplication/etc. -This inflates the size of the rows. Even tho it's slightly less than long directory names. -Perhaps using short rev-parse for sha256 may be better, find something like 7-characters unique combinations -And use that instead of the long sha256 form. - ## version compatibility. After a bit of testing, it seems most of the types are compatible between versions, so only when they differ would they make part of the protocol version. @@ -160,7 +153,7 @@ RUST_LOG_SPAN_EVENTS=full RUST_LOG=debug cargo watch -i src/versions/protocol897 # Additionally some code to transform from Protocol-Specific to Protocol-Agnostic was added, TODO: Add to generator.rs ``` -## JSON Sources +## JSON Spec Sources [Blizzard/s2protocol repo](https://github.com/Blizzard/s2protocol)