From 5a6f40bc645f87004da3197ea977ea6cf7b79701 Mon Sep 17 00:00:00 2001 From: James Munro Date: Thu, 7 Sep 2023 20:26:26 +0100 Subject: [PATCH] add notebooks to docs --- .github/workflows/docs.yml | 2 +- docs/README.md | 22 +- .../docs/notebooks/ArcticDB_demo_lmdb.ipynb | 362 ++++++++---------- docs/mkdocs/mkdocs.yml | 13 +- docs/mkdocs/overrides/main.html | 46 +++ 5 files changed, 235 insertions(+), 210 deletions(-) create mode 100644 docs/mkdocs/overrides/main.html diff --git a/.github/workflows/docs.yml b/.github/workflows/docs.yml index 7e38c2feaf..9a07fe329a 100644 --- a/.github/workflows/docs.yml +++ b/.github/workflows/docs.yml @@ -56,7 +56,7 @@ jobs: - name: MkDocs run: | echo "::group::Pip" - pip3 install mkdocs-material + pip3 install mkdocs-jupyter echo "::endgroup::" cd docs/mkdocs diff --git a/docs/README.md b/docs/README.md index 4f43e52040..2639b881d5 100644 --- a/docs/README.md +++ b/docs/README.md @@ -17,28 +17,20 @@ and diagrams are generated, even undocumented classes / functions. This gives ab ### mkdocs -To build mkdocs (to `/tmp/docs_build/` as an example): - -``` -mkdir /tmp/docs_build/ -``` - -#### Working in Man Group: - -To build: +Install ``` -docker run --rm -v /tmp/docs_build:/tmp/docs_build -v $(pwd)/mkdocs:/docs external-sandbox-docker.repo.prod.m/squidfunk/mkdocs-material:latest build -f mkdocs.yml -d /tmp/docs_build +pip install mkdocs-material mkdocs-jupyter ``` -To run the web server on port 8000 (from the `docs` directory): +To build mkdocs (to `/tmp/docs_build/` as an example): ``` -docker run --rm -p 8000:8000 -v ${PWD}/mkdocs:/docs external-sandbox-docker.repo.prod.m/squidfunk/mkdocs-material:latest serve -f mkdocs.yml -a 0.0.0.0:8000 +cd docs/mkdocs +mkdocs build -d /tmp/docs_build ``` -#### Working externally: - +Development server ``` -docker run --rm -v /tmp/docs_build:/tmp/docs_build -v $(pwd)/mkdocs:/docs squidfunk/mkdocs-material:latest build -f mkdocs.yml -d /tmp/docs_build +mkdocs serve -a 0.0.0.0:8000 ``` ### Sphinx diff --git a/docs/mkdocs/docs/notebooks/ArcticDB_demo_lmdb.ipynb b/docs/mkdocs/docs/notebooks/ArcticDB_demo_lmdb.ipynb index a064d19262..85f5637fb1 100644 --- a/docs/mkdocs/docs/notebooks/ArcticDB_demo_lmdb.ipynb +++ b/docs/mkdocs/docs/notebooks/ArcticDB_demo_lmdb.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "code", - "execution_count": 1, + "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/" @@ -10,31 +10,7 @@ "id": "QC4mJ72vQqeL", "outputId": "515bb22a-0b3d-47e6-9b22-2daeaccce822" }, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Requirement already satisfied: arcticdb in /usr/local/lib/python3.10/dist-packages (1.4.1)\n", - "Requirement already satisfied: numpy in /usr/local/lib/python3.10/dist-packages (from arcticdb) (1.22.4)\n", - "Requirement already satisfied: pandas<2 in /usr/local/lib/python3.10/dist-packages (from arcticdb) (1.5.3)\n", - "Requirement already satisfied: attrs in /usr/local/lib/python3.10/dist-packages (from arcticdb) (23.1.0)\n", - "Requirement already satisfied: grpcio-tools in /usr/local/lib/python3.10/dist-packages (from arcticdb) (1.56.0)\n", - "Requirement already satisfied: protobuf>=3.5.0.post1 in /usr/local/lib/python3.10/dist-packages (from arcticdb) (4.23.4)\n", - "Requirement already satisfied: xxhash in /usr/local/lib/python3.10/dist-packages (from arcticdb) (3.2.0)\n", - "Requirement already satisfied: six in /usr/local/lib/python3.10/dist-packages (from arcticdb) (1.16.0)\n", - "Requirement already satisfied: msgpack in /usr/local/lib/python3.10/dist-packages (from arcticdb) (1.0.5)\n", - "Requirement already satisfied: psutil in /usr/local/lib/python3.10/dist-packages (from arcticdb) (5.9.5)\n", - "Requirement already satisfied: pyyaml in /usr/local/lib/python3.10/dist-packages (from arcticdb) (6.0)\n", - "Requirement already satisfied: decorator in /usr/local/lib/python3.10/dist-packages (from arcticdb) (4.4.2)\n", - "Requirement already satisfied: prometheus-client in /usr/local/lib/python3.10/dist-packages (from arcticdb) (0.17.0)\n", - "Requirement already satisfied: python-dateutil>=2.8.1 in /usr/local/lib/python3.10/dist-packages (from pandas<2->arcticdb) (2.8.2)\n", - "Requirement already satisfied: pytz>=2020.1 in /usr/local/lib/python3.10/dist-packages (from pandas<2->arcticdb) (2022.7.1)\n", - "Requirement already satisfied: grpcio>=1.56.0 in /usr/local/lib/python3.10/dist-packages (from grpcio-tools->arcticdb) (1.56.0)\n", - "Requirement already satisfied: setuptools in /usr/local/lib/python3.10/dist-packages (from grpcio-tools->arcticdb) (67.7.2)\n" - ] - } - ], + "outputs": [], "source": [ "!pip install arcticdb" ] @@ -88,12 +64,12 @@ }, { "cell_type": "markdown", - "source": [ - "![ArcticDBConcepts.png](data:image/png;base64,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)" - ], "metadata": { "id": "8NbityCLTHUM" - } + }, + "source": [ + "![ArcticDBConcepts.png](data:image/png;base64,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)" + ] }, { "cell_type": "markdown", @@ -118,15 +94,7 @@ }, "outputs": [ { - "output_type": "execute_result", "data": { - "text/plain": [ - " A B C\n", - "2023-01-01 1.0 1.0 1.0\n", - "2023-01-02 1.0 1.0 1.0\n", - "2023-01-03 1.0 1.0 1.0\n", - "2023-01-04 1.0 1.0 1.0" - ], "text/html": [ "\n", "
\n", @@ -258,10 +226,18 @@ "
\n", " \n", " " + ], + "text/plain": [ + " A B C\n", + "2023-01-01 1.0 1.0 1.0\n", + "2023-01-02 1.0 1.0 1.0\n", + "2023-01-03 1.0 1.0 1.0\n", + "2023-01-04 1.0 1.0 1.0" ] }, + "execution_count": 3, "metadata": {}, - "execution_count": 3 + "output_type": "execute_result" } ], "source": [ @@ -282,15 +258,7 @@ }, "outputs": [ { - "output_type": "execute_result", "data": { - "text/plain": [ - " A B C\n", - "2023-01-05 2.0 2.0 2.0\n", - "2023-01-06 2.0 2.0 2.0\n", - "2023-01-07 2.0 2.0 2.0\n", - "2023-01-08 2.0 2.0 2.0" - ], "text/html": [ "\n", "
\n", @@ -422,10 +390,18 @@ "
\n", " \n", " " + ], + "text/plain": [ + " A B C\n", + "2023-01-05 2.0 2.0 2.0\n", + "2023-01-06 2.0 2.0 2.0\n", + "2023-01-07 2.0 2.0 2.0\n", + "2023-01-08 2.0 2.0 2.0" ] }, + "execution_count": 4, "metadata": {}, - "execution_count": 4 + "output_type": "execute_result" } ], "source": [ @@ -446,15 +422,7 @@ }, "outputs": [ { - "output_type": "execute_result", "data": { - "text/plain": [ - " A B C\n", - "2023-01-03 3.0 3.0 3.0\n", - "2023-01-04 3.0 3.0 3.0\n", - "2023-01-05 3.0 3.0 3.0\n", - "2023-01-06 3.0 3.0 3.0" - ], "text/html": [ "\n", "
\n", @@ -586,10 +554,18 @@ "
\n", " \n", " " + ], + "text/plain": [ + " A B C\n", + "2023-01-03 3.0 3.0 3.0\n", + "2023-01-04 3.0 3.0 3.0\n", + "2023-01-05 3.0 3.0 3.0\n", + "2023-01-06 3.0 3.0 3.0" ] }, + "execution_count": 5, "metadata": {}, - "execution_count": 5 + "output_type": "execute_result" } ], "source": [ @@ -683,14 +659,14 @@ }, "outputs": [ { - "output_type": "execute_result", "data": { "text/plain": [ "VersionedItem(symbol='DAILY', library='sample', data=n/a, version=0, metadata=None, host='LMDB(path=/content/arcticdb_demo)')" ] }, + "execution_count": 8, "metadata": {}, - "execution_count": 8 + "output_type": "execute_result" } ], "source": [ @@ -710,14 +686,14 @@ }, "outputs": [ { - "output_type": "execute_result", "data": { "text/plain": [ "VersionedItem(symbol='DAILY', library='sample', data=, version=0, metadata=None, host='LMDB(path=/content/arcticdb_demo)')" ] }, + "execution_count": 9, "metadata": {}, - "execution_count": 9 + "output_type": "execute_result" } ], "source": [ @@ -747,15 +723,7 @@ }, "outputs": [ { - "output_type": "execute_result", "data": { - "text/plain": [ - " A B C\n", - "2023-01-01 1.0 1.0 1.0\n", - "2023-01-02 1.0 1.0 1.0\n", - "2023-01-03 1.0 1.0 1.0\n", - "2023-01-04 1.0 1.0 1.0" - ], "text/html": [ "\n", "
\n", @@ -887,10 +855,18 @@ "
\n", " \n", " " + ], + "text/plain": [ + " A B C\n", + "2023-01-01 1.0 1.0 1.0\n", + "2023-01-02 1.0 1.0 1.0\n", + "2023-01-03 1.0 1.0 1.0\n", + "2023-01-04 1.0 1.0 1.0" ] }, + "execution_count": 10, "metadata": {}, - "execution_count": 10 + "output_type": "execute_result" } ], "source": [ @@ -937,19 +913,7 @@ }, "outputs": [ { - "output_type": "execute_result", "data": { - "text/plain": [ - " A B C\n", - "2023-01-01 1.0 1.0 1.0\n", - "2023-01-02 1.0 1.0 1.0\n", - "2023-01-03 1.0 1.0 1.0\n", - "2023-01-04 1.0 1.0 1.0\n", - "2023-01-05 2.0 2.0 2.0\n", - "2023-01-06 2.0 2.0 2.0\n", - "2023-01-07 2.0 2.0 2.0\n", - "2023-01-08 2.0 2.0 2.0" - ], "text/html": [ "\n", "
\n", @@ -1105,10 +1069,22 @@ "
\n", " \n", " " + ], + "text/plain": [ + " A B C\n", + "2023-01-01 1.0 1.0 1.0\n", + "2023-01-02 1.0 1.0 1.0\n", + "2023-01-03 1.0 1.0 1.0\n", + "2023-01-04 1.0 1.0 1.0\n", + "2023-01-05 2.0 2.0 2.0\n", + "2023-01-06 2.0 2.0 2.0\n", + "2023-01-07 2.0 2.0 2.0\n", + "2023-01-08 2.0 2.0 2.0" ] }, + "execution_count": 11, "metadata": {}, - "execution_count": 11 + "output_type": "execute_result" } ], "source": [ @@ -1138,19 +1114,7 @@ }, "outputs": [ { - "output_type": "execute_result", "data": { - "text/plain": [ - " A B C\n", - "2023-01-01 1.0 1.0 1.0\n", - "2023-01-02 1.0 1.0 1.0\n", - "2023-01-03 3.0 3.0 3.0\n", - "2023-01-04 3.0 3.0 3.0\n", - "2023-01-05 3.0 3.0 3.0\n", - "2023-01-06 3.0 3.0 3.0\n", - "2023-01-07 2.0 2.0 2.0\n", - "2023-01-08 2.0 2.0 2.0" - ], "text/html": [ "\n", "
\n", @@ -1306,10 +1270,22 @@ "
\n", " \n", " " + ], + "text/plain": [ + " A B C\n", + "2023-01-01 1.0 1.0 1.0\n", + "2023-01-02 1.0 1.0 1.0\n", + "2023-01-03 3.0 3.0 3.0\n", + "2023-01-04 3.0 3.0 3.0\n", + "2023-01-05 3.0 3.0 3.0\n", + "2023-01-06 3.0 3.0 3.0\n", + "2023-01-07 2.0 2.0 2.0\n", + "2023-01-08 2.0 2.0 2.0" ] }, + "execution_count": 12, "metadata": {}, - "execution_count": 12 + "output_type": "execute_result" } ], "source": [ @@ -1341,15 +1317,7 @@ }, "outputs": [ { - "output_type": "execute_result", "data": { - "text/plain": [ - " A B C\n", - "2023-01-01 1.0 1.0 1.0\n", - "2023-01-02 1.0 1.0 1.0\n", - "2023-01-03 1.0 1.0 1.0\n", - "2023-01-04 1.0 1.0 1.0" - ], "text/html": [ "\n", "
\n", @@ -1481,10 +1449,18 @@ "
\n", " \n", " " + ], + "text/plain": [ + " A B C\n", + "2023-01-01 1.0 1.0 1.0\n", + "2023-01-02 1.0 1.0 1.0\n", + "2023-01-03 1.0 1.0 1.0\n", + "2023-01-04 1.0 1.0 1.0" ] }, + "execution_count": 13, "metadata": {}, - "execution_count": 13 + "output_type": "execute_result" } ], "source": [ @@ -1541,46 +1517,7 @@ }, "outputs": [ { - "output_type": "execute_result", "data": { - "text/plain": [ - " c0 c1 c2 c3 c4 c5 \\\n", - "2021-02-20 11:00:00 9996.0 19992.0 29988.0 39984.0 49980.0 59976.0 \n", - "2021-02-20 12:00:00 9997.0 19994.0 29991.0 39988.0 49985.0 59982.0 \n", - "2021-02-20 13:00:00 9998.0 19996.0 29994.0 39992.0 49990.0 59988.0 \n", - "2021-02-20 14:00:00 9999.0 19998.0 29997.0 39996.0 49995.0 59994.0 \n", - "2021-02-20 15:00:00 10000.0 20000.0 30000.0 40000.0 50000.0 60000.0 \n", - "\n", - " c6 c7 c8 c9 ... c9990 \\\n", - "2021-02-20 11:00:00 69972.0 79968.0 89964.0 99960.0 ... 99870036.0 \n", - "2021-02-20 12:00:00 69979.0 79976.0 89973.0 99970.0 ... 99880027.0 \n", - "2021-02-20 13:00:00 69986.0 79984.0 89982.0 99980.0 ... 99890018.0 \n", - "2021-02-20 14:00:00 69993.0 79992.0 89991.0 99990.0 ... 99900009.0 \n", - "2021-02-20 15:00:00 70000.0 80000.0 90000.0 100000.0 ... 99910000.0 \n", - "\n", - " c9991 c9992 c9993 c9994 \\\n", - "2021-02-20 11:00:00 99880032.0 99890028.0 99900024.0 99910020.0 \n", - "2021-02-20 12:00:00 99890024.0 99900021.0 99910018.0 99920015.0 \n", - "2021-02-20 13:00:00 99900016.0 99910014.0 99920012.0 99930010.0 \n", - "2021-02-20 14:00:00 99910008.0 99920007.0 99930006.0 99940005.0 \n", - "2021-02-20 15:00:00 99920000.0 99930000.0 99940000.0 99950000.0 \n", - "\n", - " c9995 c9996 c9997 c9998 \\\n", - "2021-02-20 11:00:00 99920016.0 99930012.0 99940008.0 99950004.0 \n", - "2021-02-20 12:00:00 99930012.0 99940009.0 99950006.0 99960003.0 \n", - "2021-02-20 13:00:00 99940008.0 99950006.0 99960004.0 99970002.0 \n", - "2021-02-20 14:00:00 99950004.0 99960003.0 99970002.0 99980001.0 \n", - "2021-02-20 15:00:00 99960000.0 99970000.0 99980000.0 99990000.0 \n", - "\n", - " c9999 \n", - "2021-02-20 11:00:00 99960000.0 \n", - "2021-02-20 12:00:00 99970000.0 \n", - "2021-02-20 13:00:00 99980000.0 \n", - "2021-02-20 14:00:00 99990000.0 \n", - "2021-02-20 15:00:00 100000000.0 \n", - "\n", - "[5 rows x 10000 columns]" - ], "text/html": [ "\n", "
\n", @@ -1827,10 +1764,49 @@ "
\n", " \n", " " + ], + "text/plain": [ + " c0 c1 c2 c3 c4 c5 \\\n", + "2021-02-20 11:00:00 9996.0 19992.0 29988.0 39984.0 49980.0 59976.0 \n", + "2021-02-20 12:00:00 9997.0 19994.0 29991.0 39988.0 49985.0 59982.0 \n", + "2021-02-20 13:00:00 9998.0 19996.0 29994.0 39992.0 49990.0 59988.0 \n", + "2021-02-20 14:00:00 9999.0 19998.0 29997.0 39996.0 49995.0 59994.0 \n", + "2021-02-20 15:00:00 10000.0 20000.0 30000.0 40000.0 50000.0 60000.0 \n", + "\n", + " c6 c7 c8 c9 ... c9990 \\\n", + "2021-02-20 11:00:00 69972.0 79968.0 89964.0 99960.0 ... 99870036.0 \n", + "2021-02-20 12:00:00 69979.0 79976.0 89973.0 99970.0 ... 99880027.0 \n", + "2021-02-20 13:00:00 69986.0 79984.0 89982.0 99980.0 ... 99890018.0 \n", + "2021-02-20 14:00:00 69993.0 79992.0 89991.0 99990.0 ... 99900009.0 \n", + "2021-02-20 15:00:00 70000.0 80000.0 90000.0 100000.0 ... 99910000.0 \n", + "\n", + " c9991 c9992 c9993 c9994 \\\n", + "2021-02-20 11:00:00 99880032.0 99890028.0 99900024.0 99910020.0 \n", + "2021-02-20 12:00:00 99890024.0 99900021.0 99910018.0 99920015.0 \n", + "2021-02-20 13:00:00 99900016.0 99910014.0 99920012.0 99930010.0 \n", + "2021-02-20 14:00:00 99910008.0 99920007.0 99930006.0 99940005.0 \n", + "2021-02-20 15:00:00 99920000.0 99930000.0 99940000.0 99950000.0 \n", + "\n", + " c9995 c9996 c9997 c9998 \\\n", + "2021-02-20 11:00:00 99920016.0 99930012.0 99940008.0 99950004.0 \n", + "2021-02-20 12:00:00 99930012.0 99940009.0 99950006.0 99960003.0 \n", + "2021-02-20 13:00:00 99940008.0 99950006.0 99960004.0 99970002.0 \n", + "2021-02-20 14:00:00 99950004.0 99960003.0 99970002.0 99980001.0 \n", + "2021-02-20 15:00:00 99960000.0 99970000.0 99980000.0 99990000.0 \n", + "\n", + " c9999 \n", + "2021-02-20 11:00:00 99960000.0 \n", + "2021-02-20 12:00:00 99970000.0 \n", + "2021-02-20 13:00:00 99980000.0 \n", + "2021-02-20 14:00:00 99990000.0 \n", + "2021-02-20 15:00:00 100000000.0 \n", + "\n", + "[5 rows x 10000 columns]" ] }, + "execution_count": 14, "metadata": {}, - "execution_count": 14 + "output_type": "execute_result" } ], "source": [ @@ -1851,8 +1827,8 @@ }, "outputs": [ { - "output_type": "stream", "name": "stdout", + "output_type": "stream", "text": [ "Wrote 13.30 million floats per second.\n" ] @@ -1887,25 +1863,7 @@ }, "outputs": [ { - "output_type": "execute_result", "data": { - "text/plain": [ - " c0 c1 c5000 c5001 c9998 \\\n", - "2020-06-13 08:00:00 3945.0 7890.0 19728945.0 19732890.0 39446055.0 \n", - "2020-06-13 09:00:00 3946.0 7892.0 19733946.0 19737892.0 39456054.0 \n", - "2020-06-13 10:00:00 3947.0 7894.0 19738947.0 19742894.0 39466053.0 \n", - "2020-06-13 11:00:00 3948.0 7896.0 19743948.0 19747896.0 39476052.0 \n", - "2020-06-13 12:00:00 3949.0 7898.0 19748949.0 19752898.0 39486051.0 \n", - "2020-06-13 13:00:00 3950.0 7900.0 19753950.0 19757900.0 39496050.0 \n", - "\n", - " c9999 \n", - "2020-06-13 08:00:00 39450000.0 \n", - "2020-06-13 09:00:00 39460000.0 \n", - "2020-06-13 10:00:00 39470000.0 \n", - "2020-06-13 11:00:00 39480000.0 \n", - "2020-06-13 12:00:00 39490000.0 \n", - "2020-06-13 13:00:00 39500000.0 " - ], "text/html": [ "\n", "
\n", @@ -2070,10 +2028,28 @@ "
\n", " \n", " " + ], + "text/plain": [ + " c0 c1 c5000 c5001 c9998 \\\n", + "2020-06-13 08:00:00 3945.0 7890.0 19728945.0 19732890.0 39446055.0 \n", + "2020-06-13 09:00:00 3946.0 7892.0 19733946.0 19737892.0 39456054.0 \n", + "2020-06-13 10:00:00 3947.0 7894.0 19738947.0 19742894.0 39466053.0 \n", + "2020-06-13 11:00:00 3948.0 7896.0 19743948.0 19747896.0 39476052.0 \n", + "2020-06-13 12:00:00 3949.0 7898.0 19748949.0 19752898.0 39486051.0 \n", + "2020-06-13 13:00:00 3950.0 7900.0 19753950.0 19757900.0 39496050.0 \n", + "\n", + " c9999 \n", + "2020-06-13 08:00:00 39450000.0 \n", + "2020-06-13 09:00:00 39460000.0 \n", + "2020-06-13 10:00:00 39470000.0 \n", + "2020-06-13 11:00:00 39480000.0 \n", + "2020-06-13 12:00:00 39490000.0 \n", + "2020-06-13 13:00:00 39500000.0 " ] }, + "execution_count": 16, "metadata": {}, - "execution_count": 16 + "output_type": "execute_result" } ], "source": [ @@ -2110,16 +2086,7 @@ }, "outputs": [ { - "output_type": "execute_result", "data": { - "text/plain": [ - " Price\n", - "2023-03-03 09:46:35 99999996.0\n", - "2023-03-03 09:46:36 99999997.0\n", - "2023-03-03 09:46:37 99999998.0\n", - "2023-03-03 09:46:38 99999999.0\n", - "2023-03-03 09:46:39 100000000.0" - ], "text/html": [ "\n", "
\n", @@ -2245,10 +2212,19 @@ "
\n", " \n", " " + ], + "text/plain": [ + " Price\n", + "2023-03-03 09:46:35 99999996.0\n", + "2023-03-03 09:46:36 99999997.0\n", + "2023-03-03 09:46:37 99999998.0\n", + "2023-03-03 09:46:38 99999999.0\n", + "2023-03-03 09:46:39 100000000.0" ] }, + "execution_count": 17, "metadata": {}, - "execution_count": 17 + "output_type": "execute_result" } ], "source": [ @@ -2269,8 +2245,8 @@ }, "outputs": [ { - "output_type": "stream", "name": "stdout", + "output_type": "stream", "text": [ "Wrote 12.20 million floats per second.\n" ] @@ -2306,8 +2282,8 @@ }, "outputs": [ { - "output_type": "stream", "name": "stdout", + "output_type": "stream", "text": [ "CPU times: user 3.07 s, sys: 525 ms, total: 3.6 s\n", "Wall time: 2.3 s\n" @@ -2333,14 +2309,14 @@ }, "outputs": [ { - "output_type": "execute_result", "data": { "text/plain": [ "1999999" ] }, + "execution_count": 20, "metadata": {}, - "execution_count": 20 + "output_type": "execute_result" } ], "source": [ @@ -2360,16 +2336,7 @@ }, "outputs": [ { - "output_type": "execute_result", "data": { - "text/plain": [ - " Price\n", - "2021-08-13 06:39:54 50999995.0\n", - "2021-08-13 06:39:55 50999996.0\n", - "2021-08-13 06:39:56 50999997.0\n", - "2021-08-13 06:39:57 50999998.0\n", - "2021-08-13 06:39:58 50999999.0" - ], "text/html": [ "\n", "
\n", @@ -2495,10 +2462,19 @@ "
\n", " \n", " " + ], + "text/plain": [ + " Price\n", + "2021-08-13 06:39:54 50999995.0\n", + "2021-08-13 06:39:55 50999996.0\n", + "2021-08-13 06:39:56 50999997.0\n", + "2021-08-13 06:39:57 50999998.0\n", + "2021-08-13 06:39:58 50999999.0" ] }, + "execution_count": 21, "metadata": {}, - "execution_count": 21 + "output_type": "execute_result" } ], "source": [ @@ -2520,6 +2496,9 @@ } ], "metadata": { + "colab": { + "provenance": [] + }, "kernelspec": { "display_name": "Python 3", "language": "python", @@ -2536,11 +2515,8 @@ "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.6.15" - }, - "colab": { - "provenance": [] } }, "nbformat": 4, "nbformat_minor": 0 -} \ No newline at end of file +} diff --git a/docs/mkdocs/mkdocs.yml b/docs/mkdocs/mkdocs.yml index ef4eb977bc..8cb3fa449d 100644 --- a/docs/mkdocs/mkdocs.yml +++ b/docs/mkdocs/mkdocs.yml @@ -1,4 +1,6 @@ site_name: ArcticDB +repo_url: https://github.com/man-group/ArcticDB +repo_name: man-group/ArcticDB markdown_extensions: - admonition @@ -9,18 +11,25 @@ markdown_extensions: - attr_list - md_in_html +plugins: + - search + - mkdocs-jupyter: + ignore_h1_titles: True + include_source: True + theme: name: material + custom_dir: overrides logo: images/FullWithBorder.png favicon: images/FullWithBorder.png palette: scheme: arcticdb features: - navigation.expand + extra_css: - stylesheets/extra.css - nav: - Introduction: 'index.md' - Storage Guides: @@ -35,6 +44,8 @@ nav: - Parallel Writes: 'tutorials/parallel_writes.md' - Snapshots: 'tutorials/snapshots.md' - Metadata: 'tutorials/metadata.md' +- Notebooks: + - Intro Notebook: 'notebooks/ArcticDB_demo_lmdb.ipynb' - Library Configuration: 'lib_config.md' - Runtime Configuration: 'runtime_config.md' - Error Messages: 'error_messages.md' diff --git a/docs/mkdocs/overrides/main.html b/docs/mkdocs/overrides/main.html new file mode 100644 index 0000000000..83af809428 --- /dev/null +++ b/docs/mkdocs/overrides/main.html @@ -0,0 +1,46 @@ +{% extends "base.html" %} + +{% block content %} +{% if page.nb_url %} +

+

{{page.file.name}}

+ + + + github + + + + View in Github + +| + + + + + + + + + + + + + + Open in Google Colab + +
+

+{% endif %} + +{{ super() }} +{% endblock content %} \ No newline at end of file