diff --git a/.gitattributes b/.gitattributes index a6344aac8c09253b3b630fb776ae94478aa0275b..3b601f9d8c4bd332c3757cbae9932fe0d95f283b 100644 --- a/.gitattributes +++ b/.gitattributes @@ -33,3 +33,5 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text *.zip filter=lfs diff=lfs merge=lfs -text *.zst filter=lfs diff=lfs merge=lfs -text *tfevents* filter=lfs diff=lfs merge=lfs -text +.venv-offline/bin/ruff filter=lfs diff=lfs merge=lfs -text +README_files/libs/bootstrap/bootstrap-icons.woff filter=lfs diff=lfs merge=lfs -text diff --git a/.gitignore b/.gitignore new file mode 100644 index 0000000000000000000000000000000000000000..c52b7d55a8fe43b3365701559d8e1e19a549d26b --- /dev/null +++ b/.gitignore @@ -0,0 +1,51 @@ +# Environment files +.env +.env.local +.env.production + +# Python +__pycache__/ +*.py[cod] +*$py.class +*.so +.Python +build/ +develop-eggs/ +dist/ +downloads/ +eggs/ +.eggs/ +lib/ +lib64/ +parts/ +sdist/ +var/ +wheels/ +*.egg-info/ +.installed.cfg +*.egg + +# Virtual environments +.venv/ +.venv-online/ +venv/ +ENV/ +env/ + +# IDE +.vscode/ +.idea/ +*.swp +*.swo + +# OS +.DS_Store +Thumbs.db + +# Logs +*.log +logs/ + +# Temporary files +*.tmp +*.temp diff --git a/.python-version b/.python-version new file mode 100644 index 0000000000000000000000000000000000000000..26539611b50eaf561e678356b26b816d4693a65e --- /dev/null +++ b/.python-version @@ -0,0 +1 @@ +3.11.11 \ No newline at end of file diff --git a/.venv-offline/.gitignore b/.venv-offline/.gitignore new file mode 100644 index 0000000000000000000000000000000000000000..f59ec20aabf5842d237244ece8c81ab184faeac1 --- /dev/null +++ b/.venv-offline/.gitignore @@ -0,0 +1 @@ +* \ No newline at end of file diff --git a/.venv-offline/.lock b/.venv-offline/.lock new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/.venv-offline/CACHEDIR.TAG b/.venv-offline/CACHEDIR.TAG new file mode 100644 index 0000000000000000000000000000000000000000..bc1ecb967a482524e7736038de0df6e08f9ee452 --- /dev/null +++ b/.venv-offline/CACHEDIR.TAG @@ -0,0 +1 @@ +Signature: 8a477f597d28d172789f06886806bc55 \ No newline at end of file diff --git a/.venv-offline/bin/activate b/.venv-offline/bin/activate new file mode 100644 index 0000000000000000000000000000000000000000..893c7d97a45ba1894226d3944d09f7cd664c3aff --- /dev/null +++ b/.venv-offline/bin/activate @@ -0,0 +1,130 @@ +# Copyright (c) 2020-202x The virtualenv developers +# +# Permission is hereby granted, free of charge, to any person obtaining +# a copy of this software and associated documentation files (the +# "Software"), to deal in the Software without restriction, including +# without limitation the rights to use, copy, modify, merge, publish, +# distribute, sublicense, and/or sell copies of the Software, and to +# permit persons to whom the Software is furnished to do so, subject to +# the following conditions: +# +# The above copyright notice and this permission notice shall be +# included in all copies or substantial portions of the Software. +# +# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, +# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF +# MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND +# NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE +# LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION +# OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION +# WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. + +# This file must be used with "source bin/activate" *from bash* +# you cannot run it directly + +if ! [ -z "${SCRIPT_PATH+_}" ] ; then + _OLD_SCRIPT_PATH="$SCRIPT_PATH" +fi + +# Get script path (only used if environment is relocatable). +if [ -n "${BASH_VERSION:+x}" ] ; then + SCRIPT_PATH="${BASH_SOURCE[0]}" + if [ "$SCRIPT_PATH" = "$0" ]; then + # Only bash has a reasonably robust check for source'dness. + echo "You must source this script: \$ source $0" >&2 + exit 33 + fi +elif [ -n "${ZSH_VERSION:+x}" ] ; then + SCRIPT_PATH="${(%):-%x}" +elif [ -n "${KSH_VERSION:+x}" ] ; then + SCRIPT_PATH="${.sh.file}" +fi + +deactivate () { + unset -f pydoc >/dev/null 2>&1 || true + + # reset old environment variables + # ! [ -z ${VAR+_} ] returns true if VAR is declared at all + if ! [ -z "${_OLD_VIRTUAL_PATH:+_}" ] ; then + PATH="$_OLD_VIRTUAL_PATH" + export PATH + unset _OLD_VIRTUAL_PATH + fi + if ! [ -z "${_OLD_VIRTUAL_PYTHONHOME+_}" ] ; then + PYTHONHOME="$_OLD_VIRTUAL_PYTHONHOME" + export PYTHONHOME + unset _OLD_VIRTUAL_PYTHONHOME + fi + + # The hash command must be called to get it to forget past + # commands. Without forgetting past commands the $PATH changes + # we made may not be respected + hash -r 2>/dev/null + + if ! [ -z "${_OLD_VIRTUAL_PS1+_}" ] ; then + PS1="$_OLD_VIRTUAL_PS1" + export PS1 + unset _OLD_VIRTUAL_PS1 + fi + + unset VIRTUAL_ENV + unset VIRTUAL_ENV_PROMPT + if [ ! "${1-}" = "nondestructive" ] ; then + # Self destruct! + unset -f deactivate + fi +} + +# unset irrelevant variables +deactivate nondestructive + +VIRTUAL_ENV='/Users/chinmayjha/Documents/second-brain/second-brain-ai-assistant-course/apps/second-brain-online/.venv-offline' +if ([ "$OSTYPE" = "cygwin" ] || [ "$OSTYPE" = "msys" ]) && $(command -v cygpath &> /dev/null) ; then + VIRTUAL_ENV=$(cygpath -u "$VIRTUAL_ENV") +fi +export VIRTUAL_ENV + +# Unset the `SCRIPT_PATH` variable, now that the `VIRTUAL_ENV` variable +# has been set. This is important for relocatable environments. +if ! [ -z "${_OLD_SCRIPT_PATH+_}" ] ; then + SCRIPT_PATH="$_OLD_SCRIPT_PATH" + export SCRIPT_PATH + unset _OLD_SCRIPT_PATH +else + unset SCRIPT_PATH +fi + +_OLD_VIRTUAL_PATH="$PATH" +PATH="$VIRTUAL_ENV/bin:$PATH" +export PATH + +if [ "xsecond-brain-online-course" != x ] ; then + VIRTUAL_ENV_PROMPT="second-brain-online-course" +else + VIRTUAL_ENV_PROMPT=$(basename "$VIRTUAL_ENV") +fi +export VIRTUAL_ENV_PROMPT + +# unset PYTHONHOME if set +if ! [ -z "${PYTHONHOME+_}" ] ; then + _OLD_VIRTUAL_PYTHONHOME="$PYTHONHOME" + unset PYTHONHOME +fi + +if [ -z "${VIRTUAL_ENV_DISABLE_PROMPT-}" ] ; then + _OLD_VIRTUAL_PS1="${PS1-}" + PS1="(${VIRTUAL_ENV_PROMPT}) ${PS1-}" + export PS1 +fi + +# Make sure to unalias pydoc if it's already there +alias pydoc 2>/dev/null >/dev/null && unalias pydoc || true + +pydoc () { + python -m pydoc "$@" +} + +# The hash command must be called to get it to forget past +# commands. Without forgetting past commands the $PATH changes +# we made may not be respected +hash -r 2>/dev/null diff --git a/.venv-offline/bin/activate.bat b/.venv-offline/bin/activate.bat new file mode 100644 index 0000000000000000000000000000000000000000..f07bdb307f214a5b12dc3ce44d3361e603bab814 --- /dev/null +++ b/.venv-offline/bin/activate.bat @@ -0,0 +1,71 @@ +@REM Copyright (c) 2020-202x The virtualenv developers +@REM +@REM Permission is hereby granted, free of charge, to any person obtaining +@REM a copy of this software and associated documentation files (the +@REM "Software"), to deal in the Software without restriction, including +@REM without limitation the rights to use, copy, modify, merge, publish, +@REM distribute, sublicense, and/or sell copies of the Software, and to +@REM permit persons to whom the Software is furnished to do so, subject to +@REM the following conditions: +@REM +@REM The above copyright notice and this permission notice shall be +@REM included in all copies or substantial portions of the Software. +@REM +@REM THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, +@REM EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF +@REM MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND +@REM NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE +@REM LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION +@REM OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION +@REM WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. + +@REM This file is UTF-8 encoded, so we need to update the current code page while executing it +@for /f "tokens=2 delims=:." %%a in ('"%SystemRoot%\System32\chcp.com"') do @set _OLD_CODEPAGE=%%a +@if defined _OLD_CODEPAGE ( + @"%SystemRoot%\System32\chcp.com" 65001 > nul +) + +@for %%i in ("/Users/chinmayjha/Documents/second-brain/second-brain-ai-assistant-course/apps/second-brain-online/.venv-offline") do @set "VIRTUAL_ENV=%%~fi" + +@set "VIRTUAL_ENV_PROMPT=second-brain-online-course" +@if NOT DEFINED VIRTUAL_ENV_PROMPT ( + @for %%d in ("%VIRTUAL_ENV%") do @set "VIRTUAL_ENV_PROMPT=%%~nxd" +) + +@if defined _OLD_VIRTUAL_PROMPT ( + @set "PROMPT=%_OLD_VIRTUAL_PROMPT%" +) else ( + @if not defined PROMPT ( + @set "PROMPT=$P$G" + ) + @if not defined VIRTUAL_ENV_DISABLE_PROMPT ( + @set "_OLD_VIRTUAL_PROMPT=%PROMPT%" + ) +) +@if not defined VIRTUAL_ENV_DISABLE_PROMPT ( + @set "PROMPT=(%VIRTUAL_ENV_PROMPT%) %PROMPT%" +) + +@REM Don't use () to avoid problems with them in %PATH% +@if defined _OLD_VIRTUAL_PYTHONHOME @goto ENDIFVHOME + @set "_OLD_VIRTUAL_PYTHONHOME=%PYTHONHOME%" +:ENDIFVHOME + +@set PYTHONHOME= + +@REM if defined _OLD_VIRTUAL_PATH ( +@if not defined _OLD_VIRTUAL_PATH @goto ENDIFVPATH1 + @set "PATH=%_OLD_VIRTUAL_PATH%" +:ENDIFVPATH1 +@REM ) else ( +@if defined _OLD_VIRTUAL_PATH @goto ENDIFVPATH2 + @set "_OLD_VIRTUAL_PATH=%PATH%" +:ENDIFVPATH2 + +@set "PATH=%VIRTUAL_ENV%\bin;%PATH%" + +:END +@if defined _OLD_CODEPAGE ( + @"%SystemRoot%\System32\chcp.com" %_OLD_CODEPAGE% > nul + @set _OLD_CODEPAGE= +) diff --git a/.venv-offline/bin/activate.csh b/.venv-offline/bin/activate.csh new file mode 100644 index 0000000000000000000000000000000000000000..716f9b057931e75fe8d1f6f01fb74d8dbcbe17f0 --- /dev/null +++ b/.venv-offline/bin/activate.csh @@ -0,0 +1,76 @@ +# Copyright (c) 2020-202x The virtualenv developers +# +# Permission is hereby granted, free of charge, to any person obtaining +# a copy of this software and associated documentation files (the +# "Software"), to deal in the Software without restriction, including +# without limitation the rights to use, copy, modify, merge, publish, +# distribute, sublicense, and/or sell copies of the Software, and to +# permit persons to whom the Software is furnished to do so, subject to +# the following conditions: +# +# The above copyright notice and this permission notice shall be +# included in all copies or substantial portions of the Software. +# +# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, +# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF +# MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND +# NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE +# LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION +# OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION +# WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. + +# This file must be used with "source bin/activate.csh" *from csh*. +# You cannot run it directly. +# Created by Davide Di Blasi . + +set newline='\ +' + +alias deactivate 'test $?_OLD_VIRTUAL_PATH != 0 && setenv PATH "$_OLD_VIRTUAL_PATH:q" && unset _OLD_VIRTUAL_PATH; rehash; test $?_OLD_VIRTUAL_PROMPT != 0 && set prompt="$_OLD_VIRTUAL_PROMPT:q" && unset _OLD_VIRTUAL_PROMPT; unsetenv VIRTUAL_ENV; unsetenv VIRTUAL_ENV_PROMPT; test "\!:*" != "nondestructive" && unalias deactivate && unalias pydoc' + +# Unset irrelevant variables. +deactivate nondestructive + +setenv VIRTUAL_ENV '/Users/chinmayjha/Documents/second-brain/second-brain-ai-assistant-course/apps/second-brain-online/.venv-offline' + +set _OLD_VIRTUAL_PATH="$PATH:q" +setenv PATH "$VIRTUAL_ENV:q/bin:$PATH:q" + + + +if ('second-brain-online-course' != "") then + setenv VIRTUAL_ENV_PROMPT 'second-brain-online-course' +else + setenv VIRTUAL_ENV_PROMPT "$VIRTUAL_ENV:t:q" +endif + +if ( $?VIRTUAL_ENV_DISABLE_PROMPT ) then + if ( $VIRTUAL_ENV_DISABLE_PROMPT == "" ) then + set do_prompt = "1" + else + set do_prompt = "0" + endif +else + set do_prompt = "1" +endif + +if ( $do_prompt == "1" ) then + # Could be in a non-interactive environment, + # in which case, $prompt is undefined and we wouldn't + # care about the prompt anyway. + if ( $?prompt ) then + set _OLD_VIRTUAL_PROMPT="$prompt:q" + if ( "$prompt:q" =~ *"$newline:q"* ) then + : + else + set prompt = '('"$VIRTUAL_ENV_PROMPT:q"') '"$prompt:q" + endif + endif +endif + +unset env_name +unset do_prompt + +alias pydoc python -m pydoc + +rehash diff --git a/.venv-offline/bin/activate.fish b/.venv-offline/bin/activate.fish new file mode 100644 index 0000000000000000000000000000000000000000..f55f66aabb1af2bc56527ab2afbd2b02e0231352 --- /dev/null +++ b/.venv-offline/bin/activate.fish @@ -0,0 +1,124 @@ +# Copyright (c) 2020-202x The virtualenv developers +# +# Permission is hereby granted, free of charge, to any person obtaining +# a copy of this software and associated documentation files (the +# "Software"), to deal in the Software without restriction, including +# without limitation the rights to use, copy, modify, merge, publish, +# distribute, sublicense, and/or sell copies of the Software, and to +# permit persons to whom the Software is furnished to do so, subject to +# the following conditions: +# +# The above copyright notice and this permission notice shall be +# included in all copies or substantial portions of the Software. +# +# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, +# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF +# MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND +# NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE +# LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION +# OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION +# WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. + +# This file must be used using `source bin/activate.fish` *within a running fish ( http://fishshell.com ) session*. +# Do not run it directly. + +function _bashify_path -d "Converts a fish path to something bash can recognize" + set fishy_path $argv + set bashy_path $fishy_path[1] + for path_part in $fishy_path[2..-1] + set bashy_path "$bashy_path:$path_part" + end + echo $bashy_path +end + +function _fishify_path -d "Converts a bash path to something fish can recognize" + echo $argv | tr ':' '\n' +end + +function deactivate -d 'Exit virtualenv mode and return to the normal environment.' + # reset old environment variables + if test -n "$_OLD_VIRTUAL_PATH" + # https://github.com/fish-shell/fish-shell/issues/436 altered PATH handling + if test (echo $FISH_VERSION | head -c 1) -lt 3 + set -gx PATH (_fishify_path "$_OLD_VIRTUAL_PATH") + else + set -gx PATH $_OLD_VIRTUAL_PATH + end + set -e _OLD_VIRTUAL_PATH + end + + if test -n "$_OLD_VIRTUAL_PYTHONHOME" + set -gx PYTHONHOME "$_OLD_VIRTUAL_PYTHONHOME" + set -e _OLD_VIRTUAL_PYTHONHOME + end + + if test -n "$_OLD_FISH_PROMPT_OVERRIDE" + and functions -q _old_fish_prompt + # Set an empty local `$fish_function_path` to allow the removal of `fish_prompt` using `functions -e`. + set -l fish_function_path + + # Erase virtualenv's `fish_prompt` and restore the original. + functions -e fish_prompt + functions -c _old_fish_prompt fish_prompt + functions -e _old_fish_prompt + set -e _OLD_FISH_PROMPT_OVERRIDE + end + + set -e VIRTUAL_ENV + set -e VIRTUAL_ENV_PROMPT + + if test "$argv[1]" != 'nondestructive' + # Self-destruct! + functions -e pydoc + functions -e deactivate + functions -e _bashify_path + functions -e _fishify_path + end +end + +# Unset irrelevant variables. +deactivate nondestructive + +set -gx VIRTUAL_ENV '/Users/chinmayjha/Documents/second-brain/second-brain-ai-assistant-course/apps/second-brain-online/.venv-offline' + +# https://github.com/fish-shell/fish-shell/issues/436 altered PATH handling +if test (echo $FISH_VERSION | head -c 1) -lt 3 + set -gx _OLD_VIRTUAL_PATH (_bashify_path $PATH) +else + set -gx _OLD_VIRTUAL_PATH $PATH +end +set -gx PATH "$VIRTUAL_ENV"'/bin' $PATH + +# Prompt override provided? +# If not, just use the environment name. +if test -n 'second-brain-online-course' + set -gx VIRTUAL_ENV_PROMPT 'second-brain-online-course' +else + set -gx VIRTUAL_ENV_PROMPT (basename "$VIRTUAL_ENV") +end + +# Unset `$PYTHONHOME` if set. +if set -q PYTHONHOME + set -gx _OLD_VIRTUAL_PYTHONHOME $PYTHONHOME + set -e PYTHONHOME +end + +function pydoc + python -m pydoc $argv +end + +if test -z "$VIRTUAL_ENV_DISABLE_PROMPT" + # Copy the current `fish_prompt` function as `_old_fish_prompt`. + functions -c fish_prompt _old_fish_prompt + + function fish_prompt + # Run the user's prompt first; it might depend on (pipe)status. + set -l prompt (_old_fish_prompt) + + printf '(%s) ' $VIRTUAL_ENV_PROMPT + + string join -- \n $prompt # handle multi-line prompts + end + + set -gx _OLD_FISH_PROMPT_OVERRIDE "$VIRTUAL_ENV" +end diff --git a/.venv-offline/bin/activate.nu b/.venv-offline/bin/activate.nu new file mode 100644 index 0000000000000000000000000000000000000000..f6a2d00d6f2d58fd7aa7b90a161c3b8753213ca6 --- /dev/null +++ b/.venv-offline/bin/activate.nu @@ -0,0 +1,117 @@ +# Copyright (c) 2020-202x The virtualenv developers +# +# Permission is hereby granted, free of charge, to any person obtaining +# a copy of this software and associated documentation files (the +# "Software"), to deal in the Software without restriction, including +# without limitation the rights to use, copy, modify, merge, publish, +# distribute, sublicense, and/or sell copies of the Software, and to +# permit persons to whom the Software is furnished to do so, subject to +# the following conditions: +# +# The above copyright notice and this permission notice shall be +# included in all copies or substantial portions of the Software. +# +# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, +# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF +# MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND +# NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE +# LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION +# OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION +# WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. + +# virtualenv activation module +# Activate with `overlay use activate.nu` +# Deactivate with `deactivate`, as usual +# +# To customize the overlay name, you can call `overlay use activate.nu as foo`, +# but then simply `deactivate` won't work because it is just an alias to hide +# the "activate" overlay. You'd need to call `overlay hide foo` manually. + +export-env { + def is-string [x] { + ($x | describe) == 'string' + } + + def has-env [...names] { + $names | each {|n| + $n in $env + } | all {|i| $i == true} + } + + # Emulates a `test -z`, but better as it handles e.g 'false' + def is-env-true [name: string] { + if (has-env $name) { + # Try to parse 'true', '0', '1', and fail if not convertible + let parsed = (do -i { $env | get $name | into bool }) + if ($parsed | describe) == 'bool' { + $parsed + } else { + not ($env | get -i $name | is-empty) + } + } else { + false + } + } + + let virtual_env = '/Users/chinmayjha/Documents/second-brain/second-brain-ai-assistant-course/apps/second-brain-online/.venv-offline' + let bin = 'bin' + + let is_windows = ($nu.os-info.family) == 'windows' + let path_name = (if (has-env 'Path') { + 'Path' + } else { + 'PATH' + } + ) + + let venv_path = ([$virtual_env $bin] | path join) + let new_path = ($env | get $path_name | prepend $venv_path) + + # If there is no default prompt, then use the env name instead + let virtual_env_prompt = (if ('second-brain-online-course' | is-empty) { + ($virtual_env | path basename) + } else { + 'second-brain-online-course' + }) + + let new_env = { + $path_name : $new_path + VIRTUAL_ENV : $virtual_env + VIRTUAL_ENV_PROMPT : $virtual_env_prompt + } + + let new_env = (if (is-env-true 'VIRTUAL_ENV_DISABLE_PROMPT') { + $new_env + } else { + # Creating the new prompt for the session + let virtual_prefix = $'(char lparen)($virtual_env_prompt)(char rparen) ' + + # Back up the old prompt builder + let old_prompt_command = (if (has-env 'PROMPT_COMMAND') { + $env.PROMPT_COMMAND + } else { + '' + }) + + let new_prompt = (if (has-env 'PROMPT_COMMAND') { + if 'closure' in ($old_prompt_command | describe) { + {|| $'($virtual_prefix)(do $old_prompt_command)' } + } else { + {|| $'($virtual_prefix)($old_prompt_command)' } + } + } else { + {|| $'($virtual_prefix)' } + }) + + $new_env | merge { + PROMPT_COMMAND : $new_prompt + VIRTUAL_PREFIX : $virtual_prefix + } + }) + + # Environment variables that will be loaded as the virtual env + load-env $new_env +} + +export alias pydoc = python -m pydoc +export alias deactivate = overlay hide activate diff --git a/.venv-offline/bin/activate.ps1 b/.venv-offline/bin/activate.ps1 new file mode 100644 index 0000000000000000000000000000000000000000..e05464e1e4fe733537b4a0881ff58781a60e1de3 --- /dev/null +++ b/.venv-offline/bin/activate.ps1 @@ -0,0 +1,82 @@ +# Copyright (c) 2020-202x The virtualenv developers +# +# Permission is hereby granted, free of charge, to any person obtaining +# a copy of this software and associated documentation files (the +# "Software"), to deal in the Software without restriction, including +# without limitation the rights to use, copy, modify, merge, publish, +# distribute, sublicense, and/or sell copies of the Software, and to +# permit persons to whom the Software is furnished to do so, subject to +# the following conditions: +# +# The above copyright notice and this permission notice shall be +# included in all copies or substantial portions of the Software. +# +# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, +# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF +# MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND +# NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE +# LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION +# OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION +# WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. + +$script:THIS_PATH = $myinvocation.mycommand.path +$script:BASE_DIR = Split-Path (Resolve-Path "$THIS_PATH/..") -Parent + +function global:deactivate([switch] $NonDestructive) { + if (Test-Path variable:_OLD_VIRTUAL_PATH) { + $env:PATH = $variable:_OLD_VIRTUAL_PATH + Remove-Variable "_OLD_VIRTUAL_PATH" -Scope global + } + + if (Test-Path function:_old_virtual_prompt) { + $function:prompt = $function:_old_virtual_prompt + Remove-Item function:\_old_virtual_prompt + } + + if ($env:VIRTUAL_ENV) { + Remove-Item env:VIRTUAL_ENV -ErrorAction SilentlyContinue + } + + if ($env:VIRTUAL_ENV_PROMPT) { + Remove-Item env:VIRTUAL_ENV_PROMPT -ErrorAction SilentlyContinue + } + + if (!$NonDestructive) { + # Self destruct! + Remove-Item function:deactivate + Remove-Item function:pydoc + } +} + +function global:pydoc { + python -m pydoc $args +} + +# unset irrelevant variables +deactivate -nondestructive + +$VIRTUAL_ENV = $BASE_DIR +$env:VIRTUAL_ENV = $VIRTUAL_ENV + +if ("second-brain-online-course" -ne "") { + $env:VIRTUAL_ENV_PROMPT = "second-brain-online-course" +} +else { + $env:VIRTUAL_ENV_PROMPT = $( Split-Path $env:VIRTUAL_ENV -Leaf ) +} + +New-Variable -Scope global -Name _OLD_VIRTUAL_PATH -Value $env:PATH + +$env:PATH = "$env:VIRTUAL_ENV/bin:" + $env:PATH +if (!$env:VIRTUAL_ENV_DISABLE_PROMPT) { + function global:_old_virtual_prompt { + "" + } + $function:_old_virtual_prompt = $function:prompt + + function global:prompt { + # Add the custom prefix to the existing prompt + $previous_prompt_value = & $function:_old_virtual_prompt + ("(" + $env:VIRTUAL_ENV_PROMPT + ") " + $previous_prompt_value) + } +} diff --git a/.venv-offline/bin/activate_this.py b/.venv-offline/bin/activate_this.py new file mode 100644 index 0000000000000000000000000000000000000000..e44c13903edfd8ad0c9a15f243101142ee528add --- /dev/null +++ b/.venv-offline/bin/activate_this.py @@ -0,0 +1,59 @@ +# Copyright (c) 2020-202x The virtualenv developers +# +# Permission is hereby granted, free of charge, to any person obtaining +# a copy of this software and associated documentation files (the +# "Software"), to deal in the Software without restriction, including +# without limitation the rights to use, copy, modify, merge, publish, +# distribute, sublicense, and/or sell copies of the Software, and to +# permit persons to whom the Software is furnished to do so, subject to +# the following conditions: +# +# The above copyright notice and this permission notice shall be +# included in all copies or substantial portions of the Software. +# +# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, +# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF +# MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND +# NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE +# LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION +# OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION +# WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. + +""" +Activate virtualenv for current interpreter: + +import runpy +runpy.run_path(this_file) + +This can be used when you must use an existing Python interpreter, not the virtualenv bin/python. +""" # noqa: D415 + +from __future__ import annotations + +import os +import site +import sys + +try: + abs_file = os.path.abspath(__file__) +except NameError as exc: + msg = "You must use import runpy; runpy.run_path(this_file)" + raise AssertionError(msg) from exc + +bin_dir = os.path.dirname(abs_file) +base = bin_dir[: -len("bin") - 1] # strip away the bin part from the __file__, plus the path separator + +# prepend bin to PATH (this file is inside the bin directory) +os.environ["PATH"] = os.pathsep.join([bin_dir, *os.environ.get("PATH", "").split(os.pathsep)]) +os.environ["VIRTUAL_ENV"] = base # virtual env is right above bin directory +os.environ["VIRTUAL_ENV_PROMPT"] = "second-brain-online-course" or os.path.basename(base) # noqa: SIM222 + +# add the virtual environments libraries to the host python import mechanism +prev_length = len(sys.path) +for lib in "../lib/python3.11/site-packages".split(os.pathsep): + path = os.path.realpath(os.path.join(bin_dir, lib)) + site.addsitedir(path) +sys.path[:] = sys.path[prev_length:] + sys.path[0:prev_length] + +sys.real_prefix = sys.prefix +sys.prefix = base diff --git a/.venv-offline/bin/comet b/.venv-offline/bin/comet new file mode 100644 index 0000000000000000000000000000000000000000..669f2ebbde6c276df258110889678c44b9e25ff8 --- /dev/null +++ b/.venv-offline/bin/comet @@ -0,0 +1,10 @@ +#!/Users/chinmayjha/Documents/second-brain/second-brain-ai-assistant-course/apps/second-brain-online/.venv-offline/bin/python +# -*- coding: utf-8 -*- +import sys +from comet_ml.scripts.comet import main +if __name__ == "__main__": + if sys.argv[0].endswith("-script.pyw"): + sys.argv[0] = sys.argv[0][:-11] + elif sys.argv[0].endswith(".exe"): + sys.argv[0] = sys.argv[0][:-4] + sys.exit(main()) diff --git a/.venv-offline/bin/convert-caffe2-to-onnx b/.venv-offline/bin/convert-caffe2-to-onnx new file mode 100644 index 0000000000000000000000000000000000000000..0e8bc4fa32ad06fe245b786cf31f2c83b70bbafb --- /dev/null +++ b/.venv-offline/bin/convert-caffe2-to-onnx @@ -0,0 +1,10 @@ +#!/Users/chinmayjha/Documents/second-brain/second-brain-ai-assistant-course/apps/second-brain-online/.venv-offline/bin/python +# -*- coding: utf-8 -*- +import sys +from caffe2.python.onnx.bin.conversion import caffe2_to_onnx +if __name__ == "__main__": + if sys.argv[0].endswith("-script.pyw"): + sys.argv[0] = sys.argv[0][:-11] + elif sys.argv[0].endswith(".exe"): + sys.argv[0] = sys.argv[0][:-4] + sys.exit(caffe2_to_onnx()) diff --git a/.venv-offline/bin/convert-onnx-to-caffe2 b/.venv-offline/bin/convert-onnx-to-caffe2 new file mode 100644 index 0000000000000000000000000000000000000000..6f69afe60cddedb8eaa7da7a636c53d22afe896a --- /dev/null +++ b/.venv-offline/bin/convert-onnx-to-caffe2 @@ -0,0 +1,10 @@ +#!/Users/chinmayjha/Documents/second-brain/second-brain-ai-assistant-course/apps/second-brain-online/.venv-offline/bin/python +# -*- coding: utf-8 -*- +import sys +from caffe2.python.onnx.bin.conversion import onnx_to_caffe2 +if __name__ == "__main__": + if sys.argv[0].endswith("-script.pyw"): + sys.argv[0] = sys.argv[0][:-11] + elif sys.argv[0].endswith(".exe"): + sys.argv[0] = sys.argv[0][:-4] + sys.exit(onnx_to_caffe2()) diff --git a/.venv-offline/bin/ddgs b/.venv-offline/bin/ddgs new file mode 100644 index 0000000000000000000000000000000000000000..06fea2cf723c4a44b30b3f49ac0a9735664484a8 --- /dev/null +++ b/.venv-offline/bin/ddgs @@ -0,0 +1,10 @@ +#!/Users/chinmayjha/Documents/second-brain/second-brain-ai-assistant-course/apps/second-brain-online/.venv-offline/bin/python +# -*- coding: utf-8 -*- +import sys +from duckduckgo_search.cli import safe_entry_point +if __name__ == "__main__": + if sys.argv[0].endswith("-script.pyw"): + sys.argv[0] = sys.argv[0][:-11] + elif sys.argv[0].endswith(".exe"): + sys.argv[0] = sys.argv[0][:-4] + sys.exit(safe_entry_point()) diff --git a/.venv-offline/bin/deactivate.bat b/.venv-offline/bin/deactivate.bat new file mode 100644 index 0000000000000000000000000000000000000000..07041bc45129994cbb4b338f6fb61aaf502571fb --- /dev/null +++ b/.venv-offline/bin/deactivate.bat @@ -0,0 +1,39 @@ +@REM Copyright (c) 2020-202x The virtualenv developers +@REM +@REM Permission is hereby granted, free of charge, to any person obtaining +@REM a copy of this software and associated documentation files (the +@REM "Software"), to deal in the Software without restriction, including +@REM without limitation the rights to use, copy, modify, merge, publish, +@REM distribute, sublicense, and/or sell copies of the Software, and to +@REM permit persons to whom the Software is furnished to do so, subject to +@REM the following conditions: +@REM +@REM The above copyright notice and this permission notice shall be +@REM included in all copies or substantial portions of the Software. +@REM +@REM THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, +@REM EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF +@REM MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND +@REM NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE +@REM LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION +@REM OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION +@REM WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. + +@set VIRTUAL_ENV= +@set VIRTUAL_ENV_PROMPT= + +@REM Don't use () to avoid problems with them in %PATH% +@if not defined _OLD_VIRTUAL_PROMPT @goto ENDIFVPROMPT + @set "PROMPT=%_OLD_VIRTUAL_PROMPT%" + @set _OLD_VIRTUAL_PROMPT= +:ENDIFVPROMPT + +@if not defined _OLD_VIRTUAL_PYTHONHOME @goto ENDIFVHOME + @set "PYTHONHOME=%_OLD_VIRTUAL_PYTHONHOME%" + @set _OLD_VIRTUAL_PYTHONHOME= +:ENDIFVHOME + +@if not defined _OLD_VIRTUAL_PATH @goto ENDIFVPATH + @set "PATH=%_OLD_VIRTUAL_PATH%" + @set _OLD_VIRTUAL_PATH= +:ENDIFVPATH \ No newline at end of file diff --git a/.venv-offline/bin/distro b/.venv-offline/bin/distro new file mode 100644 index 0000000000000000000000000000000000000000..a149fad7195dc1c651f7d5ce2f8397a13921509a --- /dev/null +++ b/.venv-offline/bin/distro @@ -0,0 +1,10 @@ +#!/Users/chinmayjha/Documents/second-brain/second-brain-ai-assistant-course/apps/second-brain-online/.venv-offline/bin/python +# -*- coding: utf-8 -*- +import sys +from distro.distro import main +if __name__ == "__main__": + if sys.argv[0].endswith("-script.pyw"): + sys.argv[0] = sys.argv[0][:-11] + elif sys.argv[0].endswith(".exe"): + sys.argv[0] = sys.argv[0][:-4] + sys.exit(main()) diff --git a/.venv-offline/bin/dotenv b/.venv-offline/bin/dotenv new file mode 100644 index 0000000000000000000000000000000000000000..b1d9d7f96a4093bb2c2a6153cca3df1f3a1e2339 --- /dev/null +++ b/.venv-offline/bin/dotenv @@ -0,0 +1,10 @@ +#!/Users/chinmayjha/Documents/second-brain/second-brain-ai-assistant-course/apps/second-brain-online/.venv-offline/bin/python +# -*- coding: utf-8 -*- +import sys +from dotenv.__main__ import cli +if __name__ == "__main__": + if sys.argv[0].endswith("-script.pyw"): + sys.argv[0] = sys.argv[0][:-11] + elif sys.argv[0].endswith(".exe"): + sys.argv[0] = sys.argv[0][:-4] + sys.exit(cli()) diff --git a/.venv-offline/bin/dul-receive-pack b/.venv-offline/bin/dul-receive-pack new file mode 100644 index 0000000000000000000000000000000000000000..2f99c2f95e672b5e6799d4520e8f0307750a7dc7 --- /dev/null +++ b/.venv-offline/bin/dul-receive-pack @@ -0,0 +1,32 @@ +#!/Users/chinmayjha/Documents/second-brain/second-brain-ai-assistant-course/apps/second-brain-online/.venv-offline/bin/python +# dul-receive-pack - git-receive-pack in python +# Copyright (C) 2008 John Carr +# +# SPDX-License-Identifier: Apache-2.0 OR GPL-2.0-or-later +# Dulwich is dual-licensed under the Apache License, Version 2.0 and the GNU +# General Public License as public by the Free Software Foundation; version 2.0 +# or (at your option) any later version. You can redistribute it and/or +# modify it under the terms of either of these two licenses. +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# You should have received a copy of the licenses; if not, see +# for a copy of the GNU General Public License +# and for a copy of the Apache +# License, Version 2.0. +# + +import os +import sys + +from dulwich.porcelain import receive_pack + +if len(sys.argv) < 2: + sys.stderr.write("usage: %s \n" % os.path.basename(sys.argv[0])) + sys.exit(1) + +sys.exit(receive_pack(sys.argv[1])) diff --git a/.venv-offline/bin/dul-upload-pack b/.venv-offline/bin/dul-upload-pack new file mode 100644 index 0000000000000000000000000000000000000000..264ad40dff20e1fac1f5abc896ed87fcae89865e --- /dev/null +++ b/.venv-offline/bin/dul-upload-pack @@ -0,0 +1,32 @@ +#!/Users/chinmayjha/Documents/second-brain/second-brain-ai-assistant-course/apps/second-brain-online/.venv-offline/bin/python +# dul-upload-pack - git-upload-pack in python +# Copyright (C) 2008 John Carr +# +# SPDX-License-Identifier: Apache-2.0 OR GPL-2.0-or-later +# Dulwich is dual-licensed under the Apache License, Version 2.0 and the GNU +# General Public License as public by the Free Software Foundation; version 2.0 +# or (at your option) any later version. You can redistribute it and/or +# modify it under the terms of either of these two licenses. +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# You should have received a copy of the licenses; if not, see +# for a copy of the GNU General Public License +# and for a copy of the Apache +# License, Version 2.0. +# + +import os +import sys + +from dulwich.porcelain import upload_pack + +if len(sys.argv) < 2: + sys.stderr.write("usage: %s \n" % os.path.basename(sys.argv[0])) + sys.exit(1) + +sys.exit(upload_pack(sys.argv[1])) diff --git a/.venv-offline/bin/dulwich b/.venv-offline/bin/dulwich new file mode 100644 index 0000000000000000000000000000000000000000..2921fce9845e29811f47caf938c0ac3646b38ff8 --- /dev/null +++ b/.venv-offline/bin/dulwich @@ -0,0 +1,10 @@ +#!/Users/chinmayjha/Documents/second-brain/second-brain-ai-assistant-course/apps/second-brain-online/.venv-offline/bin/python +# -*- coding: utf-8 -*- +import sys +from dulwich.cli import main +if __name__ == "__main__": + if sys.argv[0].endswith("-script.pyw"): + sys.argv[0] = sys.argv[0][:-11] + elif sys.argv[0].endswith(".exe"): + sys.argv[0] = sys.argv[0][:-4] + sys.exit(main()) diff --git a/.venv-offline/bin/f2py b/.venv-offline/bin/f2py new file mode 100644 index 0000000000000000000000000000000000000000..c79e4a47bd362c6e75bbca58e32a292dffa7716b --- /dev/null +++ b/.venv-offline/bin/f2py @@ -0,0 +1,10 @@ +#!/Users/chinmayjha/Documents/second-brain/second-brain-ai-assistant-course/apps/second-brain-online/.venv-offline/bin/python +# -*- coding: utf-8 -*- +import sys +from numpy.f2py.f2py2e import main +if __name__ == "__main__": + if sys.argv[0].endswith("-script.pyw"): + sys.argv[0] = sys.argv[0][:-11] + elif sys.argv[0].endswith(".exe"): + sys.argv[0] = sys.argv[0][:-4] + sys.exit(main()) diff --git a/.venv-offline/bin/fastapi b/.venv-offline/bin/fastapi new file mode 100644 index 0000000000000000000000000000000000000000..24cc7b6bbb4578ce03ac1a7bd640f05d2ad1983a --- /dev/null +++ b/.venv-offline/bin/fastapi @@ -0,0 +1,10 @@ +#!/Users/chinmayjha/Documents/second-brain/second-brain-ai-assistant-course/apps/second-brain-online/.venv-offline/bin/python +# -*- coding: utf-8 -*- +import sys +from fastapi.cli import main +if __name__ == "__main__": + if sys.argv[0].endswith("-script.pyw"): + sys.argv[0] = sys.argv[0][:-11] + elif sys.argv[0].endswith(".exe"): + sys.argv[0] = sys.argv[0][:-4] + sys.exit(main()) diff --git a/.venv-offline/bin/gradio b/.venv-offline/bin/gradio new file mode 100644 index 0000000000000000000000000000000000000000..e0384000758c38373216d1719f944b0443e4f657 --- /dev/null +++ b/.venv-offline/bin/gradio @@ -0,0 +1,10 @@ +#!/Users/chinmayjha/Documents/second-brain/second-brain-ai-assistant-course/apps/second-brain-online/.venv-offline/bin/python +# -*- coding: utf-8 -*- +import sys +from gradio.cli import cli +if __name__ == "__main__": + if sys.argv[0].endswith("-script.pyw"): + sys.argv[0] = sys.argv[0][:-11] + elif sys.argv[0].endswith(".exe"): + sys.argv[0] = sys.argv[0][:-4] + sys.exit(cli()) diff --git a/.venv-offline/bin/httpx b/.venv-offline/bin/httpx new file mode 100644 index 0000000000000000000000000000000000000000..145fc837788f282044ed91ccfb6d7b0e4d21fc3b --- /dev/null +++ b/.venv-offline/bin/httpx @@ -0,0 +1,10 @@ +#!/Users/chinmayjha/Documents/second-brain/second-brain-ai-assistant-course/apps/second-brain-online/.venv-offline/bin/python +# -*- coding: utf-8 -*- +import sys +from httpx import main +if __name__ == "__main__": + if sys.argv[0].endswith("-script.pyw"): + sys.argv[0] = sys.argv[0][:-11] + elif sys.argv[0].endswith(".exe"): + sys.argv[0] = sys.argv[0][:-4] + sys.exit(main()) diff --git a/.venv-offline/bin/huggingface-cli b/.venv-offline/bin/huggingface-cli new file mode 100644 index 0000000000000000000000000000000000000000..f28b68bd955a1c88bd7bcfd3705e9d9c22f0e486 --- /dev/null +++ b/.venv-offline/bin/huggingface-cli @@ -0,0 +1,10 @@ +#!/Users/chinmayjha/Documents/second-brain/second-brain-ai-assistant-course/apps/second-brain-online/.venv-offline/bin/python +# -*- coding: utf-8 -*- +import sys +from huggingface_hub.commands.huggingface_cli import main +if __name__ == "__main__": + if sys.argv[0].endswith("-script.pyw"): + sys.argv[0] = sys.argv[0][:-11] + elif sys.argv[0].endswith(".exe"): + sys.argv[0] = sys.argv[0][:-4] + sys.exit(main()) diff --git a/.venv-offline/bin/isympy b/.venv-offline/bin/isympy new file mode 100644 index 0000000000000000000000000000000000000000..c7b5d172c28216fce7deaa671fbad59ac42dadfe --- /dev/null +++ b/.venv-offline/bin/isympy @@ -0,0 +1,10 @@ +#!/Users/chinmayjha/Documents/second-brain/second-brain-ai-assistant-course/apps/second-brain-online/.venv-offline/bin/python +# -*- coding: utf-8 -*- +import sys +from isympy import main +if __name__ == "__main__": + if sys.argv[0].endswith("-script.pyw"): + sys.argv[0] = sys.argv[0][:-11] + elif sys.argv[0].endswith(".exe"): + sys.argv[0] = sys.argv[0][:-4] + sys.exit(main()) diff --git a/.venv-offline/bin/jp.py b/.venv-offline/bin/jp.py new file mode 100644 index 0000000000000000000000000000000000000000..add957003c3be3a916ad6a19f86cf5f9c695c6bc --- /dev/null +++ b/.venv-offline/bin/jp.py @@ -0,0 +1,54 @@ +#!/Users/chinmayjha/Documents/second-brain/second-brain-ai-assistant-course/apps/second-brain-online/.venv-offline/bin/python + +import sys +import json +import argparse +from pprint import pformat + +import jmespath +from jmespath import exceptions + + +def main(): + parser = argparse.ArgumentParser() + parser.add_argument('expression') + parser.add_argument('-f', '--filename', + help=('The filename containing the input data. ' + 'If a filename is not given then data is ' + 'read from stdin.')) + parser.add_argument('--ast', action='store_true', + help=('Pretty print the AST, do not search the data.')) + args = parser.parse_args() + expression = args.expression + if args.ast: + # Only print the AST + expression = jmespath.compile(args.expression) + sys.stdout.write(pformat(expression.parsed)) + sys.stdout.write('\n') + return 0 + if args.filename: + with open(args.filename, 'r') as f: + data = json.load(f) + else: + data = sys.stdin.read() + data = json.loads(data) + try: + sys.stdout.write(json.dumps( + jmespath.search(expression, data), indent=4, ensure_ascii=False)) + sys.stdout.write('\n') + except exceptions.ArityError as e: + sys.stderr.write("invalid-arity: %s\n" % e) + return 1 + except exceptions.JMESPathTypeError as e: + sys.stderr.write("invalid-type: %s\n" % e) + return 1 + except exceptions.UnknownFunctionError as e: + sys.stderr.write("unknown-function: %s\n" % e) + return 1 + except exceptions.ParseError as e: + sys.stderr.write("syntax-error: %s\n" % e) + return 1 + + +if __name__ == '__main__': + sys.exit(main()) diff --git a/.venv-offline/bin/jsondiff b/.venv-offline/bin/jsondiff new file mode 100644 index 0000000000000000000000000000000000000000..c619f2bcbac4aa21d625e458ff3ba91e6ed96121 --- /dev/null +++ b/.venv-offline/bin/jsondiff @@ -0,0 +1,41 @@ +#!/Users/chinmayjha/Documents/second-brain/second-brain-ai-assistant-course/apps/second-brain-online/.venv-offline/bin/python +# -*- coding: utf-8 -*- + +from __future__ import print_function + +import sys +import json +import jsonpatch +import argparse + + +parser = argparse.ArgumentParser(description='Diff two JSON files') +parser.add_argument('FILE1', type=argparse.FileType('r')) +parser.add_argument('FILE2', type=argparse.FileType('r')) +parser.add_argument('--indent', type=int, default=None, + help='Indent output by n spaces') +parser.add_argument('-u', '--preserve-unicode', action='store_true', + help='Output Unicode character as-is without using Code Point') +parser.add_argument('-v', '--version', action='version', + version='%(prog)s ' + jsonpatch.__version__) + + +def main(): + try: + diff_files() + except KeyboardInterrupt: + sys.exit(1) + + +def diff_files(): + """ Diffs two JSON files and prints a patch """ + args = parser.parse_args() + doc1 = json.load(args.FILE1) + doc2 = json.load(args.FILE2) + patch = jsonpatch.make_patch(doc1, doc2) + if patch.patch: + print(json.dumps(patch.patch, indent=args.indent, ensure_ascii=not(args.preserve_unicode))) + sys.exit(1) + +if __name__ == "__main__": + main() diff --git a/.venv-offline/bin/jsonpatch b/.venv-offline/bin/jsonpatch new file mode 100644 index 0000000000000000000000000000000000000000..7e324ef08e3c01702d1f2b488faa05254853858d --- /dev/null +++ b/.venv-offline/bin/jsonpatch @@ -0,0 +1,107 @@ +#!/Users/chinmayjha/Documents/second-brain/second-brain-ai-assistant-course/apps/second-brain-online/.venv-offline/bin/python +# -*- coding: utf-8 -*- + +import sys +import os.path +import json +import jsonpatch +import tempfile +import argparse + + +parser = argparse.ArgumentParser( + description='Apply a JSON patch on a JSON file') +parser.add_argument('ORIGINAL', type=argparse.FileType('r'), + help='Original file') +parser.add_argument('PATCH', type=argparse.FileType('r'), + nargs='?', default=sys.stdin, + help='Patch file (read from stdin if omitted)') +parser.add_argument('--indent', type=int, default=None, + help='Indent output by n spaces') +parser.add_argument('-b', '--backup', action='store_true', + help='Back up ORIGINAL if modifying in-place') +parser.add_argument('-i', '--in-place', action='store_true', + help='Modify ORIGINAL in-place instead of to stdout') +parser.add_argument('-v', '--version', action='version', + version='%(prog)s ' + jsonpatch.__version__) +parser.add_argument('-u', '--preserve-unicode', action='store_true', + help='Output Unicode character as-is without using Code Point') + +def main(): + try: + patch_files() + except KeyboardInterrupt: + sys.exit(1) + + +def patch_files(): + """ Diffs two JSON files and prints a patch """ + args = parser.parse_args() + doc = json.load(args.ORIGINAL) + patch = json.load(args.PATCH) + result = jsonpatch.apply_patch(doc, patch) + + if args.in_place: + dirname = os.path.abspath(os.path.dirname(args.ORIGINAL.name)) + + try: + # Attempt to replace the file atomically. We do this by + # creating a temporary file in the same directory as the + # original file so we can atomically move the new file over + # the original later. (This is done in the same directory + # because atomic renames do not work across mount points.) + + fd, pathname = tempfile.mkstemp(dir=dirname) + fp = os.fdopen(fd, 'w') + atomic = True + + except OSError: + # We failed to create the temporary file for an atomic + # replace, so fall back to non-atomic mode by backing up + # the original (if desired) and writing a new file. + + if args.backup: + os.rename(args.ORIGINAL.name, args.ORIGINAL.name + '.orig') + fp = open(args.ORIGINAL.name, 'w') + atomic = False + + else: + # Since we're not replacing the original file in-place, write + # the modified JSON to stdout instead. + + fp = sys.stdout + + # By this point we have some sort of file object we can write the + # modified JSON to. + + json.dump(result, fp, indent=args.indent, ensure_ascii=not(args.preserve_unicode)) + fp.write('\n') + + if args.in_place: + # Close the new file. If we aren't replacing atomically, this + # is our last step, since everything else is already in place. + + fp.close() + + if atomic: + try: + # Complete the atomic replace by linking the original + # to a backup (if desired), fixing up the permissions + # on the temporary file, and moving it into place. + + if args.backup: + os.link(args.ORIGINAL.name, args.ORIGINAL.name + '.orig') + os.chmod(pathname, os.stat(args.ORIGINAL.name).st_mode) + os.rename(pathname, args.ORIGINAL.name) + + except OSError: + # In the event we could not actually do the atomic + # replace, unlink the original to move it out of the + # way and finally move the temporary file into place. + + os.unlink(args.ORIGINAL.name) + os.rename(pathname, args.ORIGINAL.name) + + +if __name__ == "__main__": + main() diff --git a/.venv-offline/bin/jsonpointer b/.venv-offline/bin/jsonpointer new file mode 100644 index 0000000000000000000000000000000000000000..4bf09abcb8947e616990bf5e742a64ecec9cfe64 --- /dev/null +++ b/.venv-offline/bin/jsonpointer @@ -0,0 +1,67 @@ +#!/Users/chinmayjha/Documents/second-brain/second-brain-ai-assistant-course/apps/second-brain-online/.venv-offline/bin/python +# -*- coding: utf-8 -*- + + +import argparse +import json +import sys + +import jsonpointer + +parser = argparse.ArgumentParser( + description='Resolve a JSON pointer on JSON files') + +# Accept pointer as argument or as file +ptr_group = parser.add_mutually_exclusive_group(required=True) + +ptr_group.add_argument('-f', '--pointer-file', type=argparse.FileType('r'), + nargs='?', + help='File containing a JSON pointer expression') + +ptr_group.add_argument('POINTER', type=str, nargs='?', + help='A JSON pointer expression') + +parser.add_argument('FILE', type=argparse.FileType('r'), nargs='+', + help='Files for which the pointer should be resolved') +parser.add_argument('--indent', type=int, default=None, + help='Indent output by n spaces') +parser.add_argument('-v', '--version', action='version', + version='%(prog)s ' + jsonpointer.__version__) + + +def main(): + try: + resolve_files() + except KeyboardInterrupt: + sys.exit(1) + + +def parse_pointer(args): + if args.POINTER: + ptr = args.POINTER + elif args.pointer_file: + ptr = args.pointer_file.read().strip() + else: + parser.print_usage() + sys.exit(1) + + return ptr + + +def resolve_files(): + """ Resolve a JSON pointer on JSON files """ + args = parser.parse_args() + + ptr = parse_pointer(args) + + for f in args.FILE: + doc = json.load(f) + try: + result = jsonpointer.resolve_pointer(doc, ptr) + print(json.dumps(result, indent=args.indent)) + except jsonpointer.JsonPointerException as e: + print('Could not resolve pointer: %s' % str(e), file=sys.stderr) + + +if __name__ == "__main__": + main() diff --git a/.venv-offline/bin/jsonschema b/.venv-offline/bin/jsonschema new file mode 100644 index 0000000000000000000000000000000000000000..ad894d90d7e5d1b40032f1f00567781782d897e7 --- /dev/null +++ b/.venv-offline/bin/jsonschema @@ -0,0 +1,10 @@ +#!/Users/chinmayjha/Documents/second-brain/second-brain-ai-assistant-course/apps/second-brain-online/.venv-offline/bin/python +# -*- coding: utf-8 -*- +import sys +from jsonschema.cli import main +if __name__ == "__main__": + if sys.argv[0].endswith("-script.pyw"): + sys.argv[0] = sys.argv[0][:-11] + elif sys.argv[0].endswith(".exe"): + sys.argv[0] = sys.argv[0][:-4] + sys.exit(main()) diff --git a/.venv-offline/bin/langchain-server b/.venv-offline/bin/langchain-server new file mode 100644 index 0000000000000000000000000000000000000000..d39793884929df6765ad5f094fb2356a07f895c7 --- /dev/null +++ b/.venv-offline/bin/langchain-server @@ -0,0 +1,10 @@ +#!/Users/chinmayjha/Documents/second-brain/second-brain-ai-assistant-course/apps/second-brain-online/.venv-offline/bin/python +# -*- coding: utf-8 -*- +import sys +from langchain.server import main +if __name__ == "__main__": + if sys.argv[0].endswith("-script.pyw"): + sys.argv[0] = sys.argv[0][:-11] + elif sys.argv[0].endswith(".exe"): + sys.argv[0] = sys.argv[0][:-4] + sys.exit(main()) diff --git a/.venv-offline/bin/litellm b/.venv-offline/bin/litellm new file mode 100644 index 0000000000000000000000000000000000000000..808f0ebb983a489de2d498b2962b57b9e4800378 --- /dev/null +++ b/.venv-offline/bin/litellm @@ -0,0 +1,10 @@ +#!/Users/chinmayjha/Documents/second-brain/second-brain-ai-assistant-course/apps/second-brain-online/.venv-offline/bin/python +# -*- coding: utf-8 -*- +import sys +from litellm import run_server +if __name__ == "__main__": + if sys.argv[0].endswith("-script.pyw"): + sys.argv[0] = sys.argv[0][:-11] + elif sys.argv[0].endswith(".exe"): + sys.argv[0] = sys.argv[0][:-4] + sys.exit(run_server()) diff --git a/.venv-offline/bin/markdown-it b/.venv-offline/bin/markdown-it new file mode 100644 index 0000000000000000000000000000000000000000..b41ce5cc871c16c4774bcccb675015f82b59a54a --- /dev/null +++ b/.venv-offline/bin/markdown-it @@ -0,0 +1,10 @@ +#!/Users/chinmayjha/Documents/second-brain/second-brain-ai-assistant-course/apps/second-brain-online/.venv-offline/bin/python +# -*- coding: utf-8 -*- +import sys +from markdown_it.cli.parse import main +if __name__ == "__main__": + if sys.argv[0].endswith("-script.pyw"): + sys.argv[0] = sys.argv[0][:-11] + elif sys.argv[0].endswith(".exe"): + sys.argv[0] = sys.argv[0][:-4] + sys.exit(main()) diff --git a/.venv-offline/bin/markdownify b/.venv-offline/bin/markdownify new file mode 100644 index 0000000000000000000000000000000000000000..91584bb71d8be4dd72413f6dce8bbb71ca2a636e --- /dev/null +++ b/.venv-offline/bin/markdownify @@ -0,0 +1,10 @@ +#!/Users/chinmayjha/Documents/second-brain/second-brain-ai-assistant-course/apps/second-brain-online/.venv-offline/bin/python +# -*- coding: utf-8 -*- +import sys +from markdownify.main import main +if __name__ == "__main__": + if sys.argv[0].endswith("-script.pyw"): + sys.argv[0] = sys.argv[0][:-11] + elif sys.argv[0].endswith(".exe"): + sys.argv[0] = sys.argv[0][:-4] + sys.exit(main()) diff --git a/.venv-offline/bin/normalizer b/.venv-offline/bin/normalizer new file mode 100644 index 0000000000000000000000000000000000000000..74f4423e2ef29b2409e4562d3a6e370a05a11dfb --- /dev/null +++ b/.venv-offline/bin/normalizer @@ -0,0 +1,10 @@ +#!/Users/chinmayjha/Documents/second-brain/second-brain-ai-assistant-course/apps/second-brain-online/.venv-offline/bin/python +# -*- coding: utf-8 -*- +import sys +from charset_normalizer import cli +if __name__ == "__main__": + if sys.argv[0].endswith("-script.pyw"): + sys.argv[0] = sys.argv[0][:-11] + elif sys.argv[0].endswith(".exe"): + sys.argv[0] = sys.argv[0][:-4] + sys.exit(cli.cli_detect()) diff --git a/.venv-offline/bin/openai b/.venv-offline/bin/openai new file mode 100644 index 0000000000000000000000000000000000000000..60a395883f9ddf458112afe863d706ae5c597e4a --- /dev/null +++ b/.venv-offline/bin/openai @@ -0,0 +1,10 @@ +#!/Users/chinmayjha/Documents/second-brain/second-brain-ai-assistant-course/apps/second-brain-online/.venv-offline/bin/python +# -*- coding: utf-8 -*- +import sys +from openai.cli import main +if __name__ == "__main__": + if sys.argv[0].endswith("-script.pyw"): + sys.argv[0] = sys.argv[0][:-11] + elif sys.argv[0].endswith(".exe"): + sys.argv[0] = sys.argv[0][:-4] + sys.exit(main()) diff --git a/.venv-offline/bin/opik b/.venv-offline/bin/opik new file mode 100644 index 0000000000000000000000000000000000000000..62a004f7327d7ff53e31a0ec73a9211dc347286d --- /dev/null +++ b/.venv-offline/bin/opik @@ -0,0 +1,10 @@ +#!/Users/chinmayjha/Documents/second-brain/second-brain-ai-assistant-course/apps/second-brain-online/.venv-offline/bin/python +# -*- coding: utf-8 -*- +import sys +from opik.cli import cli +if __name__ == "__main__": + if sys.argv[0].endswith("-script.pyw"): + sys.argv[0] = sys.argv[0][:-11] + elif sys.argv[0].endswith(".exe"): + sys.argv[0] = sys.argv[0][:-4] + sys.exit(cli()) diff --git a/.venv-offline/bin/py.test b/.venv-offline/bin/py.test new file mode 100644 index 0000000000000000000000000000000000000000..92af1274f626cebb76528099a6c50c4291dffc3c --- /dev/null +++ b/.venv-offline/bin/py.test @@ -0,0 +1,10 @@ +#!/Users/chinmayjha/Documents/second-brain/second-brain-ai-assistant-course/apps/second-brain-online/.venv-offline/bin/python +# -*- coding: utf-8 -*- +import sys +from pytest import console_main +if __name__ == "__main__": + if sys.argv[0].endswith("-script.pyw"): + sys.argv[0] = sys.argv[0][:-11] + elif sys.argv[0].endswith(".exe"): + sys.argv[0] = sys.argv[0][:-4] + sys.exit(console_main()) diff --git a/.venv-offline/bin/pydoc.bat b/.venv-offline/bin/pydoc.bat new file mode 100644 index 0000000000000000000000000000000000000000..daa20590b181e9f5a1f4f642f6c4eaf471cff00f --- /dev/null +++ b/.venv-offline/bin/pydoc.bat @@ -0,0 +1,22 @@ +@REM Copyright (c) 2020-202x The virtualenv developers +@REM +@REM Permission is hereby granted, free of charge, to any person obtaining +@REM a copy of this software and associated documentation files (the +@REM "Software"), to deal in the Software without restriction, including +@REM without limitation the rights to use, copy, modify, merge, publish, +@REM distribute, sublicense, and/or sell copies of the Software, and to +@REM permit persons to whom the Software is furnished to do so, subject to +@REM the following conditions: +@REM +@REM The above copyright notice and this permission notice shall be +@REM included in all copies or substantial portions of the Software. +@REM +@REM THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, +@REM EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF +@REM MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND +@REM NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE +@REM LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION +@REM OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION +@REM WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. + +python.exe -m pydoc %* \ No newline at end of file diff --git a/.venv-offline/bin/pygmentize b/.venv-offline/bin/pygmentize new file mode 100644 index 0000000000000000000000000000000000000000..2ef2f91813b010d93bae21af0d3e38865818f261 --- /dev/null +++ b/.venv-offline/bin/pygmentize @@ -0,0 +1,10 @@ +#!/Users/chinmayjha/Documents/second-brain/second-brain-ai-assistant-course/apps/second-brain-online/.venv-offline/bin/python +# -*- coding: utf-8 -*- +import sys +from pygments.cmdline import main +if __name__ == "__main__": + if sys.argv[0].endswith("-script.pyw"): + sys.argv[0] = sys.argv[0][:-11] + elif sys.argv[0].endswith(".exe"): + sys.argv[0] = sys.argv[0][:-4] + sys.exit(main()) diff --git a/.venv-offline/bin/pytest b/.venv-offline/bin/pytest new file mode 100644 index 0000000000000000000000000000000000000000..92af1274f626cebb76528099a6c50c4291dffc3c --- /dev/null +++ b/.venv-offline/bin/pytest @@ -0,0 +1,10 @@ +#!/Users/chinmayjha/Documents/second-brain/second-brain-ai-assistant-course/apps/second-brain-online/.venv-offline/bin/python +# -*- coding: utf-8 -*- +import sys +from pytest import console_main +if __name__ == "__main__": + if sys.argv[0].endswith("-script.pyw"): + sys.argv[0] = sys.argv[0][:-11] + elif sys.argv[0].endswith(".exe"): + sys.argv[0] = sys.argv[0][:-4] + sys.exit(console_main()) diff --git a/.venv-offline/bin/python b/.venv-offline/bin/python new file mode 100644 index 0000000000000000000000000000000000000000..02a718481762dc99767bcc92839db1374f77db21 Binary files /dev/null and b/.venv-offline/bin/python differ diff --git a/.venv-offline/bin/python3 b/.venv-offline/bin/python3 new file mode 100644 index 0000000000000000000000000000000000000000..02a718481762dc99767bcc92839db1374f77db21 Binary files /dev/null and b/.venv-offline/bin/python3 differ diff --git a/.venv-offline/bin/python3.11 b/.venv-offline/bin/python3.11 new file mode 100644 index 0000000000000000000000000000000000000000..02a718481762dc99767bcc92839db1374f77db21 Binary files /dev/null and b/.venv-offline/bin/python3.11 differ diff --git a/.venv-offline/bin/ruff b/.venv-offline/bin/ruff new file mode 100644 index 0000000000000000000000000000000000000000..5da9f6aa63936c09c9ea24c79eebf0be13347f6a --- /dev/null +++ b/.venv-offline/bin/ruff @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:7b601a9011e0def9d530d6357e42781cdff0518674ec9fd55729ce382af3f9e9 +size 30164128 diff --git a/.venv-offline/bin/torchfrtrace b/.venv-offline/bin/torchfrtrace new file mode 100644 index 0000000000000000000000000000000000000000..561984398e62e624a88cbd4be44e81cdd1b46ef5 --- /dev/null +++ b/.venv-offline/bin/torchfrtrace @@ -0,0 +1,10 @@ +#!/Users/chinmayjha/Documents/second-brain/second-brain-ai-assistant-course/apps/second-brain-online/.venv-offline/bin/python +# -*- coding: utf-8 -*- +import sys +from tools.flight_recorder.fr_trace import main +if __name__ == "__main__": + if sys.argv[0].endswith("-script.pyw"): + sys.argv[0] = sys.argv[0][:-11] + elif sys.argv[0].endswith(".exe"): + sys.argv[0] = sys.argv[0][:-4] + sys.exit(main()) diff --git a/.venv-offline/bin/torchrun b/.venv-offline/bin/torchrun new file mode 100644 index 0000000000000000000000000000000000000000..1dc30daf999b019f87f16f57ce00c18bac8904e7 --- /dev/null +++ b/.venv-offline/bin/torchrun @@ -0,0 +1,10 @@ +#!/Users/chinmayjha/Documents/second-brain/second-brain-ai-assistant-course/apps/second-brain-online/.venv-offline/bin/python +# -*- coding: utf-8 -*- +import sys +from torch.distributed.run import main +if __name__ == "__main__": + if sys.argv[0].endswith("-script.pyw"): + sys.argv[0] = sys.argv[0][:-11] + elif sys.argv[0].endswith(".exe"): + sys.argv[0] = sys.argv[0][:-4] + sys.exit(main()) diff --git a/.venv-offline/bin/tqdm b/.venv-offline/bin/tqdm new file mode 100644 index 0000000000000000000000000000000000000000..43ba629a563aaaff8ef74f0a2935b64e9f2c4696 --- /dev/null +++ b/.venv-offline/bin/tqdm @@ -0,0 +1,10 @@ +#!/Users/chinmayjha/Documents/second-brain/second-brain-ai-assistant-course/apps/second-brain-online/.venv-offline/bin/python +# -*- coding: utf-8 -*- +import sys +from tqdm.cli import main +if __name__ == "__main__": + if sys.argv[0].endswith("-script.pyw"): + sys.argv[0] = sys.argv[0][:-11] + elif sys.argv[0].endswith(".exe"): + sys.argv[0] = sys.argv[0][:-4] + sys.exit(main()) diff --git a/.venv-offline/bin/transformers-cli b/.venv-offline/bin/transformers-cli new file mode 100644 index 0000000000000000000000000000000000000000..b750734a1e909ecaf1b3c632e86d8de6ef37e0ea --- /dev/null +++ b/.venv-offline/bin/transformers-cli @@ -0,0 +1,10 @@ +#!/Users/chinmayjha/Documents/second-brain/second-brain-ai-assistant-course/apps/second-brain-online/.venv-offline/bin/python +# -*- coding: utf-8 -*- +import sys +from transformers.commands.transformers_cli import main +if __name__ == "__main__": + if sys.argv[0].endswith("-script.pyw"): + sys.argv[0] = sys.argv[0][:-11] + elif sys.argv[0].endswith(".exe"): + sys.argv[0] = sys.argv[0][:-4] + sys.exit(main()) diff --git a/.venv-offline/bin/typer b/.venv-offline/bin/typer new file mode 100644 index 0000000000000000000000000000000000000000..fa7e7161a26e56f00f76139745e1556f7e414fc1 --- /dev/null +++ b/.venv-offline/bin/typer @@ -0,0 +1,10 @@ +#!/Users/chinmayjha/Documents/second-brain/second-brain-ai-assistant-course/apps/second-brain-online/.venv-offline/bin/python +# -*- coding: utf-8 -*- +import sys +from typer.cli import main +if __name__ == "__main__": + if sys.argv[0].endswith("-script.pyw"): + sys.argv[0] = sys.argv[0][:-11] + elif sys.argv[0].endswith(".exe"): + sys.argv[0] = sys.argv[0][:-4] + sys.exit(main()) diff --git a/.venv-offline/bin/upload_theme b/.venv-offline/bin/upload_theme new file mode 100644 index 0000000000000000000000000000000000000000..75c4dfa785d62d0028f89a3f4b4beab92463c2ab --- /dev/null +++ b/.venv-offline/bin/upload_theme @@ -0,0 +1,10 @@ +#!/Users/chinmayjha/Documents/second-brain/second-brain-ai-assistant-course/apps/second-brain-online/.venv-offline/bin/python +# -*- coding: utf-8 -*- +import sys +from gradio.themes.upload_theme import main +if __name__ == "__main__": + if sys.argv[0].endswith("-script.pyw"): + sys.argv[0] = sys.argv[0][:-11] + elif sys.argv[0].endswith(".exe"): + sys.argv[0] = sys.argv[0][:-4] + sys.exit(main()) diff --git a/.venv-offline/bin/uvicorn b/.venv-offline/bin/uvicorn new file mode 100644 index 0000000000000000000000000000000000000000..cbbb9e26b4cddcf1eb6631c319cbb8947510c032 --- /dev/null +++ b/.venv-offline/bin/uvicorn @@ -0,0 +1,10 @@ +#!/Users/chinmayjha/Documents/second-brain/second-brain-ai-assistant-course/apps/second-brain-online/.venv-offline/bin/python +# -*- coding: utf-8 -*- +import sys +from uvicorn.main import main +if __name__ == "__main__": + if sys.argv[0].endswith("-script.pyw"): + sys.argv[0] = sys.argv[0][:-11] + elif sys.argv[0].endswith(".exe"): + sys.argv[0] = sys.argv[0][:-4] + sys.exit(main()) diff --git a/.venv-offline/pyvenv.cfg b/.venv-offline/pyvenv.cfg new file mode 100644 index 0000000000000000000000000000000000000000..5a408b1451bd92f67e8dc21421e25b278db79373 --- /dev/null +++ b/.venv-offline/pyvenv.cfg @@ -0,0 +1,6 @@ +home = /Users/chinmayjha/.local/share/uv/python/cpython-3.11.11-macos-aarch64-none/bin +implementation = CPython +uv = 0.8.13 +version_info = 3.11.11 +include-system-site-packages = false +prompt = second-brain-online-course diff --git a/.venv-offline/share/man/man1/isympy.1 b/.venv-offline/share/man/man1/isympy.1 new file mode 100644 index 0000000000000000000000000000000000000000..0ff966158a28c5ad1a6cd954e454842b25fdd999 --- /dev/null +++ b/.venv-offline/share/man/man1/isympy.1 @@ -0,0 +1,188 @@ +'\" -*- coding: us-ascii -*- +.if \n(.g .ds T< \\FC +.if \n(.g .ds T> \\F[\n[.fam]] +.de URL +\\$2 \(la\\$1\(ra\\$3 +.. +.if \n(.g .mso www.tmac +.TH isympy 1 2007-10-8 "" "" +.SH NAME +isympy \- interactive shell for SymPy +.SH SYNOPSIS +'nh +.fi +.ad l +\fBisympy\fR \kx +.if (\nx>(\n(.l/2)) .nr x (\n(.l/5) +'in \n(.iu+\nxu +[\fB-c\fR | \fB--console\fR] [\fB-p\fR ENCODING | \fB--pretty\fR ENCODING] [\fB-t\fR TYPE | \fB--types\fR TYPE] [\fB-o\fR ORDER | \fB--order\fR ORDER] [\fB-q\fR | \fB--quiet\fR] [\fB-d\fR | \fB--doctest\fR] [\fB-C\fR | \fB--no-cache\fR] [\fB-a\fR | \fB--auto\fR] [\fB-D\fR | \fB--debug\fR] [ +-- | PYTHONOPTIONS] +'in \n(.iu-\nxu +.ad b +'hy +'nh +.fi +.ad l +\fBisympy\fR \kx +.if (\nx>(\n(.l/2)) .nr x (\n(.l/5) +'in \n(.iu+\nxu +[ +{\fB-h\fR | \fB--help\fR} +| +{\fB-v\fR | \fB--version\fR} +] +'in \n(.iu-\nxu +.ad b +'hy +.SH DESCRIPTION +isympy is a Python shell for SymPy. It is just a normal python shell +(ipython shell if you have the ipython package installed) that executes +the following commands so that you don't have to: +.PP +.nf +\*(T< +>>> from __future__ import division +>>> from sympy import * +>>> x, y, z = symbols("x,y,z") +>>> k, m, n = symbols("k,m,n", integer=True) + \*(T> +.fi +.PP +So starting isympy is equivalent to starting python (or ipython) and +executing the above commands by hand. It is intended for easy and quick +experimentation with SymPy. For more complicated programs, it is recommended +to write a script and import things explicitly (using the "from sympy +import sin, log, Symbol, ..." idiom). +.SH OPTIONS +.TP +\*(T<\fB\-c \fR\*(T>\fISHELL\fR, \*(T<\fB\-\-console=\fR\*(T>\fISHELL\fR +Use the specified shell (python or ipython) as +console backend instead of the default one (ipython +if present or python otherwise). + +Example: isympy -c python + +\fISHELL\fR could be either +\&'ipython' or 'python' +.TP +\*(T<\fB\-p \fR\*(T>\fIENCODING\fR, \*(T<\fB\-\-pretty=\fR\*(T>\fIENCODING\fR +Setup pretty printing in SymPy. By default, the most pretty, unicode +printing is enabled (if the terminal supports it). You can use less +pretty ASCII printing instead or no pretty printing at all. + +Example: isympy -p no + +\fIENCODING\fR must be one of 'unicode', +\&'ascii' or 'no'. +.TP +\*(T<\fB\-t \fR\*(T>\fITYPE\fR, \*(T<\fB\-\-types=\fR\*(T>\fITYPE\fR +Setup the ground types for the polys. By default, gmpy ground types +are used if gmpy2 or gmpy is installed, otherwise it falls back to python +ground types, which are a little bit slower. You can manually +choose python ground types even if gmpy is installed (e.g., for testing purposes). + +Note that sympy ground types are not supported, and should be used +only for experimental purposes. + +Note that the gmpy1 ground type is primarily intended for testing; it the +use of gmpy even if gmpy2 is available. + +This is the same as setting the environment variable +SYMPY_GROUND_TYPES to the given ground type (e.g., +SYMPY_GROUND_TYPES='gmpy') + +The ground types can be determined interactively from the variable +sympy.polys.domains.GROUND_TYPES inside the isympy shell itself. + +Example: isympy -t python + +\fITYPE\fR must be one of 'gmpy', +\&'gmpy1' or 'python'. +.TP +\*(T<\fB\-o \fR\*(T>\fIORDER\fR, \*(T<\fB\-\-order=\fR\*(T>\fIORDER\fR +Setup the ordering of terms for printing. The default is lex, which +orders terms lexicographically (e.g., x**2 + x + 1). You can choose +other orderings, such as rev-lex, which will use reverse +lexicographic ordering (e.g., 1 + x + x**2). + +Note that for very large expressions, ORDER='none' may speed up +printing considerably, with the tradeoff that the order of the terms +in the printed expression will have no canonical order + +Example: isympy -o rev-lax + +\fIORDER\fR must be one of 'lex', 'rev-lex', 'grlex', +\&'rev-grlex', 'grevlex', 'rev-grevlex', 'old', or 'none'. +.TP +\*(T<\fB\-q\fR\*(T>, \*(T<\fB\-\-quiet\fR\*(T> +Print only Python's and SymPy's versions to stdout at startup, and nothing else. +.TP +\*(T<\fB\-d\fR\*(T>, \*(T<\fB\-\-doctest\fR\*(T> +Use the same format that should be used for doctests. This is +equivalent to '\fIisympy -c python -p no\fR'. +.TP +\*(T<\fB\-C\fR\*(T>, \*(T<\fB\-\-no\-cache\fR\*(T> +Disable the caching mechanism. Disabling the cache may slow certain +operations down considerably. This is useful for testing the cache, +or for benchmarking, as the cache can result in deceptive benchmark timings. + +This is the same as setting the environment variable SYMPY_USE_CACHE +to 'no'. +.TP +\*(T<\fB\-a\fR\*(T>, \*(T<\fB\-\-auto\fR\*(T> +Automatically create missing symbols. Normally, typing a name of a +Symbol that has not been instantiated first would raise NameError, +but with this option enabled, any undefined name will be +automatically created as a Symbol. This only works in IPython 0.11. + +Note that this is intended only for interactive, calculator style +usage. In a script that uses SymPy, Symbols should be instantiated +at the top, so that it's clear what they are. + +This will not override any names that are already defined, which +includes the single character letters represented by the mnemonic +QCOSINE (see the "Gotchas and Pitfalls" document in the +documentation). You can delete existing names by executing "del +name" in the shell itself. You can see if a name is defined by typing +"'name' in globals()". + +The Symbols that are created using this have default assumptions. +If you want to place assumptions on symbols, you should create them +using symbols() or var(). + +Finally, this only works in the top level namespace. So, for +example, if you define a function in isympy with an undefined +Symbol, it will not work. +.TP +\*(T<\fB\-D\fR\*(T>, \*(T<\fB\-\-debug\fR\*(T> +Enable debugging output. This is the same as setting the +environment variable SYMPY_DEBUG to 'True'. The debug status is set +in the variable SYMPY_DEBUG within isympy. +.TP +-- \fIPYTHONOPTIONS\fR +These options will be passed on to \fIipython (1)\fR shell. +Only supported when ipython is being used (standard python shell not supported). + +Two dashes (--) are required to separate \fIPYTHONOPTIONS\fR +from the other isympy options. + +For example, to run iSymPy without startup banner and colors: + +isympy -q -c ipython -- --colors=NoColor +.TP +\*(T<\fB\-h\fR\*(T>, \*(T<\fB\-\-help\fR\*(T> +Print help output and exit. +.TP +\*(T<\fB\-v\fR\*(T>, \*(T<\fB\-\-version\fR\*(T> +Print isympy version information and exit. +.SH FILES +.TP +\*(T<\fI${HOME}/.sympy\-history\fR\*(T> +Saves the history of commands when using the python +shell as backend. +.SH BUGS +The upstreams BTS can be found at \(lahttps://github.com/sympy/sympy/issues\(ra +Please report all bugs that you find in there, this will help improve +the overall quality of SymPy. +.SH "SEE ALSO" +\fBipython\fR(1), \fBpython\fR(1) diff --git a/Makefile b/Makefile new file mode 100644 index 0000000000000000000000000000000000000000..2312d70ea9fc4017c413c22211a8522b1b3d868c --- /dev/null +++ b/Makefile @@ -0,0 +1,69 @@ +ifeq (,$(wildcard .env)) +$(error .env file is missing. Please create one based on .env.example. Run: "cp .env.example .env" and fill in the missing values.) +endif + +include .env + +export UV_PROJECT_ENVIRONMENT=.venv-online +export PYTHONPATH = . + +# --- Default Values --- + +CHECK_DIRS := . +RETRIEVER_CONFIG ?= configs/compute_rag_vector_index_openai_contextual_simple.yaml + +# --- Utilities --- + +help: + @grep -E '^[a-zA-Z0-9 -]+:.*#' Makefile | sort | while read -r l; do printf "\033[1;32m$$(echo $$l | cut -f 1 -d':')\033[00m:$$(echo $$l | cut -f 2- -d'#')\n"; done + +check-config: + @if [ ! -f "$(RETRIEVER_CONFIG)" ]; then \ + echo "Error: Retriever config file '$(RETRIEVER_CONFIG)' does not exist"; \ + exit 1; \ + else \ + echo "Found retriever config file at '$(RETRIEVER_CONFIG)'"; \ + fi + +# --- Infrastructure --- + +local-docker-infrastructure-up: + docker compose -f ../infrastructure/docker/docker-compose.yml up --build -d + +local-docker-infrastructure-stop: + docker compose -f ../infrastructure/docker/docker-compose.yml stop + +local-infrastructure-up: local-docker-infrastructure-up + +local-infrastructure-stop: local-docker-infrastructure-stop + +local-infrastructure-down: + docker compose -f ../infrastructure/docker/docker-compose.yml down +# --- Run --- + +run_agent_app: check-config + uv run python -m tools.app --retriever-config-path=$(RETRIEVER_CONFIG) --ui + +run_agent_query: check-config + uv run python -m tools.app --retriever-config-path=$(RETRIEVER_CONFIG) --query "What's the difference between vector databases and vector indices?" + +evaluate_agent: check-config + uv run python -m tools.evaluate_app --retriever-config-path=$(RETRIEVER_CONFIG) + + +# --- QA --- + +format-fix: + uv run ruff format $(CHECK_DIRS) + uv run ruff check --select I --fix + +lint-fix: + uv run ruff check --fix + +format-check: + uv run ruff format --check $(CHECK_DIRS) + uv run ruff check -e + uv run ruff check --select I -e + +lint-check: + uv run ruff check $(CHECK_DIRS) diff --git a/README.html b/README.html new file mode 100644 index 0000000000000000000000000000000000000000..30b142d1cc7cf2a3698dd17a17de8f5c4bb9895e --- /dev/null +++ b/README.html @@ -0,0 +1,762 @@ + + + + + + + + + +readme + + + + + + + + + + + + + + + + + + + + +
+ +
+ + + + + + + + +
+ Decoding ML Logo + +
+
    <h2>📬 Stay Updated</h2>
+    <p><b><a href="https://decodingml.substack.com/">Join Decoding ML</a></b> for proven content on designing, coding, and deploying production-grade AI systems with software engineering and MLOps best practices to help you ship AI applications. Every week, straight to your inbox.</p>
+  </div>
+</td>
+
+

+ Subscribe Now +

+
+
+

🚀 Installation and Usage Guide for the Second Brain Online Module

+

This guide will help you set up and run the Second Brain Online Module, which contains the code for Module 6: the RAG agentic app and LLMOps layer.

+

Note that this module is entirely independent of the offline ML pipelines. Thus, it comes with its own set of dependencies and requirements. Also, to run this module, you must first go through the steps from the Offline ML Pipelines part of the course, which will populate the vector database and other required resources.

+
+
+

📑 Table of Contents

+ +
+
+

📋 Prerequisites

+

We depend on the same prerequisites as the offline ML pipelines. If modules 1 to 5 are working, you are good to go. Just make sure to fill in the .env file with the correct credentials.

+
+

Local Tools

+

For all the modules, you’ll need the following tools installed locally:

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
ToolVersionPurposeInstallation Link
Python3.11Programming language runtimeDownload
uv≥ 0.4.30Python package installer and virtual environment managerDownload
GNU Make≥ 3.81Build automation toolDownload
Git≥2.44.0Version controlDownload
Docker≥27.4.0Containerization platformDownload
+
+ +📌 Windows users also need to install WSL (Click to expand) + +

We will be using Unix commands across the course, so if you are using Windows, you will need to install WSL, which will install a Linux kernel on your Windows machine and allow you to use the Unix commands from our course (this is the recommended way to write software on Windows).

+🔗 Follow this guide to install WSL. +
+
+
+

Cloud Services

+

Also, the course requires access to these cloud services. The authentication to these services is done by adding the corresponding environment variables to the .env file:

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
ServicePurposeCostEnvironment VariableSetup GuideStarting with Module
OpenAI APILLM APIPay-per-useOPENAI_API_KEYQuick Start GuideModule 2
Hugging FaceMLOpsFree tierHUGGINGFACE_ACCESS_TOKENQuick Start GuideModule 3
CometExperiment trackingFree tierCOMET_API_KEYQuick Start GuideModule 4
OpikLLM evaluation and prompt monitoringFree tier (Hosted on Comet - same API Key)COMET_API_KEYQuick Start GuideModule 6
+

When working locally, the infrastructure is set up using Docker. Thus, you can use the default values found in the config.py file for all the infrastructure-related environment variables.

+

But, in case you want to deploy the code, you’ll need to setup the following services with their corresponding environment variables:

+ + + + + + + + + + + + + + + + + + + +
ServicePurposeCostRequired CredentialsSetup Guide
MongoDBdocument database (with vector search)Free tierMONGODB_URI1. Create a free MongoDB Atlas account
2. Create a Cluster
3. Add a Database User
4. Configure a Network Connection
+
+
+
+

🎯 Getting Started

+
+

1. Clone the Repository

+

Start by cloning the repository and navigating to the project directory:

+
git clone https://github.com/decodingml/second-brain-ai-assistant-course.git
+cd second-brain-ai-assistant-course
+
+
+

2. Installation

+

First deactivate any active virtual environment and move to the second-brain-online directory:

+
deactivate
+cd apps/second-brain-online
+

To install the dependencies and activate the virtual environment, run the following commands:

+
uv venv .venv-online
+. ./.venv-online/bin/activate
+uv pip install -e .
+
+

[!NOTE] The online application uses a different set of dependencies than the offline ML pipelines.

+
+
+
+

3. Environment Configuration

+

Before running any command, you have to set up your environment: 1. Create your environment file: bash cp .env.example .env 2. Open .env and configure the required credentials following the inline comments and the recommendations from the Cloud Services section.

+
+
+
+

📁 Project Structure

+

At Decoding ML we teach how to build production ML systems. Thus, instead of splitting the code into separate modules, the course follows the structure of a real-world Python project:

+
.
+├── configs/                   # ZenML configuration files
+├── src/second_brain_online/  # Main package directory
+│   ├── application/           # Application layer
+│   ├── config.py              # Configuration settings
+│   └── opik_utils.py          # Opik utility functions
+├── tools/                     # Entrypoint scripts that use the Python package
+├── .env.example               # Environment variables template
+├── .python-version            # Python version specification
+├── Makefile                   # Project commands
+└── pyproject.toml             # Project dependencies
+
+
+

🏗️ Set Up Your Local Infrastructure

+

We use Docker to setup the local infrastructure (MongoDB).

+
+

[!WARNING] Before running the command below, ensure you do not have any processes running on port 27017 (MongoDB).

+
+

To start the Docker infrastructure, run:

+
make local-infrastructure-up
+

To stop the Docker infrastructure, run:

+
make local-infrastructure-down
+
+

[!NOTE] To visualize the raw and RAG data from MongoDB, we recommend using MongoDB Compass or Mongo’s official IDE plugin (e.g., MongoDB for VS Code). To connect to the working MongoDB instance, use the MONGODB_URI value from the .env file or found inside the config.py file.

+
+
+
+

+
mongodb_atlas_example.png
+
+
+
+
+

⚡️ Running the Code for Each Module

+

NOTE: To run these modules, you must first go through the steps from the Offline ML Pipelines part of the course.

+

To simulate the course modules, we split the CLI commands and offline ML pipelines you must run per module so you know exactly where you are in the course.

+
+

Module 6: Running the RAG Agentic App and LLMOps Layer

+

Quickly test the agent from the CLI with a predefined query:

+
make run_agent_query RETRIEVER_CONFIG=configs/compute_rag_vector_index_openai_parent.yaml
+

You should see something like this:

+
Vector databases and vector indices are related concepts in the field of data storage and retrieval, particularly in contexts where high-dimensional vector representations of data are used, such as in machine learning and AI. Here are the key differences:
+
+1. **Vector Databases**:
+   - A vector database ...
+
+

[!IMPORTANT] Be sure that the retriever config is the exact same one as the one used in Module 5 during the RAG feature pipeline to populate the vector database. If they don’t match, the used retriever will use different settings resulting in errors or unexpected results. Here is a quick reminder of when to use which config: 1. Parent Retrieval with OpenAI models: configs/compute_rag_vector_index_openai_parent.yaml 2. Simple Contextual Retrieval with OpenAI models: configs/compute_rag_vector_index_openai_contextual_simple.yaml 3. Simple Contextual Retrieval with Hugging Face models: configs/compute_rag_vector_index_huggingface_contextual_simple.yaml 4. Full-fledged Contextual Retrieval with OpenAI models: configs/compute_rag_vector_index_openai_contextual.yaml

+
+

You can also spin-up a Gradio UI to test the agent with custom queries similar to any other chatbot:

+
make run_agent_app RETRIEVER_CONFIG=configs/compute_rag_vector_index_openai_parent.yaml
+

You should see something like this:

+ + +

Evaluate the agent with our predefined evaluation queries (found under tools/evaluate_app.py):

+
make evaluate_agent RETRIEVER_CONFIG=configs/compute_rag_vector_index_openai_parent.yaml
+

After running the evaluation, open Opik to see the evaluation results, as seen in the image below:

+
+
+

+
Opik Evaluation Results
+
+
+

For running the evaluation, plus playing around with the agent (~20 queries), the costs and running time are: - Running costs OpenAI: ~$0.5 - Running costs Hugging Face Dedicated Endpoints (optional - you can use only the OpenAI models for summarization): ~$1 (the deployment costs $1 / hour) - Running time evaluation: ~15 minutes (the AI Assistant runs in real-time)

+
+
+
+

🔧 Utlity Commands

+
+

Formatting

+
make format-check
+make format-fix
+
+
+

Linting

+
make lint-check
+make lint-fix
+
+
+
+ + + + + + + + + + \ No newline at end of file diff --git a/README.md b/README.md index 833dcc5d15ccc98334778a6a38d6b0ea1ec646da..bc9f9f9973a85209cedc92090394dd565a856e9e 100644 --- a/README.md +++ b/README.md @@ -1,16 +1,73 @@ --- -title: Context Ai -emoji: 💬 -colorFrom: yellow +title: Second Brain AI Assistant +emoji: 🧠 +colorFrom: blue colorTo: purple sdk: gradio -sdk_version: 5.42.0 +sdk_version: "5.12.0" app_file: app.py pinned: false -hf_oauth: true -hf_oauth_scopes: -- inference-api -short_description: AI tools for SaaS Tribe +license: mit --- -An example chatbot using [Gradio](https://gradio.app), [`huggingface_hub`](https://huggingface.co/docs/huggingface_hub/v0.22.2/en/index), and the [Hugging Face Inference API](https://huggingface.co/docs/api-inference/index). +# Second Brain AI Assistant + +A production-ready AI assistant that can answer questions about your documents using RAG (Retrieval-Augmented Generation). + +## Features + +- **Document Q&A**: Ask questions about your documents +- **Source Attribution**: See which documents were used for each answer +- **Clean UI**: Professional interface with proper formatting +- **Real-time Processing**: Get answers instantly +- **Tool Usage Display**: See which tools were used to generate responses + +## Usage + +1. Enter your question in the text box +2. Click "Ask" to get an AI-powered answer +3. View sources and tools used in the response +4. Use the debug section to see raw responses + +## Example Queries + +- "What pricing objections have been raised?" +- "What messaging is resonating with prospects?" +- "What concerns have prospects raised with regards to product?" +- "What has resonated with prospects based on the meeting transcripts?" + +## Configuration + +This space uses the following environment variables: +- `OPENAI_API_KEY`: Your OpenAI API key +- `MONGODB_URI`: MongoDB connection string +- `MONGODB_DATABASE_NAME`: Database name (default: second_brain_course) +- `MONGODB_COLLECTION_NAME`: Collection name (default: rag) +- `COMET_API_KEY`: Comet ML API key for tracking +- `COMET_PROJECT`: Project name (default: second_brain_course) +- `RETRIEVER_CONFIG_PATH`: Path to retriever config (default: configs/compute_rag_vector_index_openai_contextual_simple.yaml) + +## Architecture + +- **RAG Pipeline**: Uses MongoDB for document storage and retrieval +- **Embeddings**: OpenAI text-embedding-3-small for document embeddings +- **LLM**: GPT-4o-mini for response generation +- **UI**: Custom Gradio interface with enhanced formatting +- **Tools**: MongoDB retriever and final answer tools + +## Local Development + +```bash +# Install dependencies +uv sync + +# Run the agent +make run_agent_app + +# Or run directly +python app.py +``` + +## License + +MIT License diff --git a/README_files/libs/bootstrap/bootstrap-81267100e462c21b3d6c0d5bf76a3417.min.css b/README_files/libs/bootstrap/bootstrap-81267100e462c21b3d6c0d5bf76a3417.min.css new file mode 100644 index 0000000000000000000000000000000000000000..696cdfdd2df0efca7fe559041bf427333ce326e3 --- /dev/null +++ b/README_files/libs/bootstrap/bootstrap-81267100e462c21b3d6c0d5bf76a3417.min.css @@ -0,0 +1,12 @@ +/*! + * Bootstrap v5.3.1 (https://getbootstrap.com/) + * Copyright 2011-2023 The Bootstrap Authors + * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE) + */:root,[data-bs-theme=light]{--bs-blue: #0d6efd;--bs-indigo: 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#dee2e6;--bs-dropdown-link-hover-color: #ffffff;--bs-dropdown-divider-bg: rgba(0, 0, 0, 0.175);--bs-dropdown-link-hover-bg: rgba(255, 255, 255, 0.15);--bs-dropdown-link-active-color: #ffffff;--bs-dropdown-link-active-bg: #0d6efd;--bs-dropdown-link-disabled-color: #adb5bd;--bs-dropdown-header-color: #adb5bd}.btn-group,.btn-group-vertical{position:relative;display:inline-flex;vertical-align:middle}.btn-group>.btn,.btn-group-vertical>.btn{position:relative;flex:1 1 auto;-webkit-flex:1 1 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1rem;--bs-nav-link-padding-y: 0.5rem;--bs-nav-link-font-weight: ;--bs-nav-link-color: #0d6efd;--bs-nav-link-hover-color: rgb(10.4, 88, 202.4);--bs-nav-link-disabled-color: rgba(33, 37, 41, 0.75);display:flex;display:-webkit-flex;flex-wrap:wrap;-webkit-flex-wrap:wrap;padding-left:0;margin-bottom:0;list-style:none}.nav-link{display:block;padding:var(--bs-nav-link-padding-y) var(--bs-nav-link-padding-x);font-size:var(--bs-nav-link-font-size);font-weight:var(--bs-nav-link-font-weight);color:var(--bs-nav-link-color);text-decoration:none;-webkit-text-decoration:none;-moz-text-decoration:none;-ms-text-decoration:none;-o-text-decoration:none;background:none;border:0;transition:color .15s ease-in-out,background-color .15s ease-in-out,border-color .15s ease-in-out}@media(prefers-reduced-motion: reduce){.nav-link{transition:none}}.nav-link:hover,.nav-link:focus{color:var(--bs-nav-link-hover-color)}.nav-link:focus-visible{outline:0;box-shadow:0 0 0 .25rem 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1rem;--bs-navbar-brand-font-size: 1.25rem;--bs-navbar-brand-color: rgb(253.26, 253.63, 253.98);--bs-navbar-brand-hover-color: rgb(252.58, 253.55, 254.98);--bs-navbar-nav-link-padding-x: 0.5rem;--bs-navbar-toggler-padding-y: 0.25;--bs-navbar-toggler-padding-x: 0;--bs-navbar-toggler-font-size: 1.25rem;--bs-navbar-toggler-icon-bg: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 30 30'%3e%3cpath stroke='rgb%28253.26, 253.63, 253.98%29' stroke-linecap='round' stroke-miterlimit='10' stroke-width='2' d='M4 7h22M4 15h22M4 23h22'/%3e%3c/svg%3e");--bs-navbar-toggler-border-color: rgba(253.26, 253.63, 253.98, 0);--bs-navbar-toggler-border-radius: 0.375rem;--bs-navbar-toggler-focus-width: 0.25rem;--bs-navbar-toggler-transition: box-shadow 0.15s 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.offcanvas{position:static;z-index:auto;flex-grow:1;-webkit-flex-grow:1;width:auto !important;height:auto !important;visibility:visible !important;background-color:rgba(0,0,0,0) !important;border:0 !important;transform:none !important;transition:none}.navbar-expand-xxl .offcanvas .offcanvas-header{display:none}.navbar-expand-xxl .offcanvas .offcanvas-body{display:flex;display:-webkit-flex;flex-grow:0;-webkit-flex-grow:0;padding:0;overflow-y:visible}}.navbar-expand{flex-wrap:nowrap;-webkit-flex-wrap:nowrap;justify-content:flex-start;-webkit-justify-content:flex-start}.navbar-expand .navbar-nav{flex-direction:row;-webkit-flex-direction:row}.navbar-expand .navbar-nav .dropdown-menu{position:absolute}.navbar-expand .navbar-nav .nav-link{padding-right:var(--bs-navbar-nav-link-padding-x);padding-left:var(--bs-navbar-nav-link-padding-x)}.navbar-expand .navbar-nav-scroll{overflow:visible}.navbar-expand .navbar-collapse{display:flex !important;display:-webkit-flex !important;flex-basis:auto;-webkit-flex-basis:auto}.navbar-expand .navbar-toggler{display:none}.navbar-expand .offcanvas{position:static;z-index:auto;flex-grow:1;-webkit-flex-grow:1;width:auto !important;height:auto !important;visibility:visible !important;background-color:rgba(0,0,0,0) !important;border:0 !important;transform:none !important;transition:none}.navbar-expand .offcanvas .offcanvas-header{display:none}.navbar-expand .offcanvas .offcanvas-body{display:flex;display:-webkit-flex;flex-grow:0;-webkit-flex-grow:0;padding:0;overflow-y:visible}.navbar-dark,.navbar[data-bs-theme=dark]{--bs-navbar-color: rgb(253.26, 253.63, 253.98);--bs-navbar-hover-color: rgba(252.58, 253.55, 254.98, 0.8);--bs-navbar-disabled-color: rgba(253.26, 253.63, 253.98, 0.75);--bs-navbar-active-color: rgb(252.58, 253.55, 254.98);--bs-navbar-brand-color: rgb(253.26, 253.63, 253.98);--bs-navbar-brand-hover-color: rgb(252.58, 253.55, 254.98);--bs-navbar-toggler-border-color: rgba(253.26, 253.63, 253.98, 0);--bs-navbar-toggler-icon-bg: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 30 30'%3e%3cpath stroke='rgb%28253.26, 253.63, 253.98%29' stroke-linecap='round' stroke-miterlimit='10' stroke-width='2' d='M4 7h22M4 15h22M4 23h22'/%3e%3c/svg%3e")}[data-bs-theme=dark] .navbar-toggler-icon{--bs-navbar-toggler-icon-bg: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 30 30'%3e%3cpath stroke='rgb%28253.26, 253.63, 253.98%29' stroke-linecap='round' stroke-miterlimit='10' stroke-width='2' d='M4 7h22M4 15h22M4 23h22'/%3e%3c/svg%3e")}.card{--bs-card-spacer-y: 1rem;--bs-card-spacer-x: 1rem;--bs-card-title-spacer-y: 0.5rem;--bs-card-title-color: ;--bs-card-subtitle-color: ;--bs-card-border-width: 1px;--bs-card-border-color: rgba(0, 0, 0, 0.175);--bs-card-border-radius: 0.375rem;--bs-card-box-shadow: ;--bs-card-inner-border-radius: calc(0.375rem - 1px);--bs-card-cap-padding-y: 0.5rem;--bs-card-cap-padding-x: 1rem;--bs-card-cap-bg: rgba(33, 37, 41, 0.03);--bs-card-cap-color: ;--bs-card-height: ;--bs-card-color: ;--bs-card-bg: #ffffff;--bs-card-img-overlay-padding: 1rem;--bs-card-group-margin: 0.75rem;position:relative;display:flex;display:-webkit-flex;flex-direction:column;-webkit-flex-direction:column;min-width:0;height:var(--bs-card-height);color:var(--bs-body-color);word-wrap:break-word;background-color:var(--bs-card-bg);background-clip:border-box;border:var(--bs-card-border-width) solid var(--bs-card-border-color);border-radius:var(--bs-card-border-radius)}.card>hr{margin-right:0;margin-left:0}.card>.list-group{border-top:inherit;border-bottom:inherit}.card>.list-group:first-child{border-top-width:0;border-top-left-radius:var(--bs-card-inner-border-radius);border-top-right-radius:var(--bs-card-inner-border-radius)}.card>.list-group:last-child{border-bottom-width:0;border-bottom-right-radius:var(--bs-card-inner-border-radius);border-bottom-left-radius:var(--bs-card-inner-border-radius)}.card>.card-header+.list-group,.card>.list-group+.card-footer{border-top:0}.card-body{flex:1 1 auto;-webkit-flex:1 1 auto;padding:var(--bs-card-spacer-y) var(--bs-card-spacer-x);color:var(--bs-card-color)}.card-title{margin-bottom:var(--bs-card-title-spacer-y);color:var(--bs-card-title-color)}.card-subtitle{margin-top:calc(-0.5*var(--bs-card-title-spacer-y));margin-bottom:0;color:var(--bs-card-subtitle-color)}.card-text:last-child{margin-bottom:0}.card-link+.card-link{margin-left:var(--bs-card-spacer-x)}.card-header{padding:var(--bs-card-cap-padding-y) var(--bs-card-cap-padding-x);margin-bottom:0;color:var(--bs-card-cap-color);background-color:var(--bs-card-cap-bg);border-bottom:var(--bs-card-border-width) solid var(--bs-card-border-color)}.card-header:first-child{border-radius:var(--bs-card-inner-border-radius) var(--bs-card-inner-border-radius) 0 0}.card-footer{padding:var(--bs-card-cap-padding-y) var(--bs-card-cap-padding-x);color:var(--bs-card-cap-color);background-color:var(--bs-card-cap-bg);border-top:var(--bs-card-border-width) solid var(--bs-card-border-color)}.card-footer:last-child{border-radius:0 0 var(--bs-card-inner-border-radius) var(--bs-card-inner-border-radius)}.card-header-tabs{margin-right:calc(-0.5*var(--bs-card-cap-padding-x));margin-bottom:calc(-1*var(--bs-card-cap-padding-y));margin-left:calc(-0.5*var(--bs-card-cap-padding-x));border-bottom:0}.card-header-tabs .nav-link.active{background-color:var(--bs-card-bg);border-bottom-color:var(--bs-card-bg)}.card-header-pills{margin-right:calc(-0.5*var(--bs-card-cap-padding-x));margin-left:calc(-0.5*var(--bs-card-cap-padding-x))}.card-img-overlay{position:absolute;top:0;right:0;bottom:0;left:0;padding:var(--bs-card-img-overlay-padding);border-radius:var(--bs-card-inner-border-radius)}.card-img,.card-img-top,.card-img-bottom{width:100%}.card-img,.card-img-top{border-top-left-radius:var(--bs-card-inner-border-radius);border-top-right-radius:var(--bs-card-inner-border-radius)}.card-img,.card-img-bottom{border-bottom-right-radius:var(--bs-card-inner-border-radius);border-bottom-left-radius:var(--bs-card-inner-border-radius)}.card-group>.card{margin-bottom:var(--bs-card-group-margin)}@media(min-width: 576px){.card-group{display:flex;display:-webkit-flex;flex-flow:row wrap;-webkit-flex-flow:row wrap}.card-group>.card{flex:1 0 0%;-webkit-flex:1 0 0%;margin-bottom:0}.card-group>.card+.card{margin-left:0;border-left:0}.card-group>.card:not(:last-child){border-top-right-radius:0;border-bottom-right-radius:0}.card-group>.card:not(:last-child) .card-img-top,.card-group>.card:not(:last-child) .card-header{border-top-right-radius:0}.card-group>.card:not(:last-child) .card-img-bottom,.card-group>.card:not(:last-child) .card-footer{border-bottom-right-radius:0}.card-group>.card:not(:first-child){border-top-left-radius:0;border-bottom-left-radius:0}.card-group>.card:not(:first-child) .card-img-top,.card-group>.card:not(:first-child) .card-header{border-top-left-radius:0}.card-group>.card:not(:first-child) .card-img-bottom,.card-group>.card:not(:first-child) .card-footer{border-bottom-left-radius:0}}.accordion{--bs-accordion-color: #212529;--bs-accordion-bg: #ffffff;--bs-accordion-transition: color 0.15s ease-in-out, background-color 0.15s ease-in-out, border-color 0.15s ease-in-out, box-shadow 0.15s ease-in-out, border-radius 0.15s ease;--bs-accordion-border-color: rgb(221.7, 222.3, 222.9);--bs-accordion-border-width: 1px;--bs-accordion-border-radius: 0.375rem;--bs-accordion-inner-border-radius: calc(0.375rem - 1px);--bs-accordion-btn-padding-x: 1.25rem;--bs-accordion-btn-padding-y: 1rem;--bs-accordion-btn-color: #212529;--bs-accordion-btn-bg: #ffffff;--bs-accordion-btn-icon: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='%23212529'%3e%3cpath fill-rule='evenodd' d='M1.646 4.646a.5.5 0 0 1 .708 0L8 10.293l5.646-5.647a.5.5 0 0 1 .708.708l-6 6a.5.5 0 0 1-.708 0l-6-6a.5.5 0 0 1 0-.708z'/%3e%3c/svg%3e");--bs-accordion-btn-icon-width: 1.25rem;--bs-accordion-btn-icon-transform: rotate(-180deg);--bs-accordion-btn-icon-transition: transform 0.2s ease-in-out;--bs-accordion-btn-active-icon: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='rgb%285.2, 44, 101.2%29'%3e%3cpath fill-rule='evenodd' d='M1.646 4.646a.5.5 0 0 1 .708 0L8 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reduce){.accordion-button{transition:none}}.accordion-button:not(.collapsed){color:var(--bs-accordion-active-color);background-color:var(--bs-accordion-active-bg);box-shadow:inset 0 calc(-1*var(--bs-accordion-border-width)) 0 var(--bs-accordion-border-color)}.accordion-button:not(.collapsed)::after{background-image:var(--bs-accordion-btn-active-icon);transform:var(--bs-accordion-btn-icon-transform)}.accordion-button::after{flex-shrink:0;-webkit-flex-shrink:0;width:var(--bs-accordion-btn-icon-width);height:var(--bs-accordion-btn-icon-width);margin-left:auto;content:"";background-image:var(--bs-accordion-btn-icon);background-repeat:no-repeat;background-size:var(--bs-accordion-btn-icon-width);transition:var(--bs-accordion-btn-icon-transition)}@media(prefers-reduced-motion: reduce){.accordion-button::after{transition:none}}.accordion-button:hover{z-index:2}.accordion-button:focus{z-index:3;border-color:var(--bs-accordion-btn-focus-border-color);outline:0;box-shadow:var(--bs-accordion-btn-focus-box-shadow)}.accordion-header{margin-bottom:0}.accordion-item{color:var(--bs-accordion-color);background-color:var(--bs-accordion-bg);border:var(--bs-accordion-border-width) solid var(--bs-accordion-border-color)}.accordion-item:first-of-type{border-top-left-radius:var(--bs-accordion-border-radius);border-top-right-radius:var(--bs-accordion-border-radius)}.accordion-item:first-of-type .accordion-button{border-top-left-radius:var(--bs-accordion-inner-border-radius);border-top-right-radius:var(--bs-accordion-inner-border-radius)}.accordion-item:not(:first-of-type){border-top:0}.accordion-item:last-of-type{border-bottom-right-radius:var(--bs-accordion-border-radius);border-bottom-left-radius:var(--bs-accordion-border-radius)}.accordion-item:last-of-type .accordion-button.collapsed{border-bottom-right-radius:var(--bs-accordion-inner-border-radius);border-bottom-left-radius:var(--bs-accordion-inner-border-radius)}.accordion-item:last-of-type .accordion-collapse{border-bottom-right-radius:var(--bs-accordion-border-radius);border-bottom-left-radius:var(--bs-accordion-border-radius)}.accordion-body{padding:var(--bs-accordion-body-padding-y) var(--bs-accordion-body-padding-x)}.accordion-flush .accordion-collapse{border-width:0}.accordion-flush .accordion-item{border-right:0;border-left:0;border-radius:0}.accordion-flush .accordion-item:first-child{border-top:0}.accordion-flush .accordion-item:last-child{border-bottom:0}.accordion-flush .accordion-item .accordion-button,.accordion-flush .accordion-item .accordion-button.collapsed{border-radius:0}[data-bs-theme=dark] .accordion-button::after{--bs-accordion-btn-icon: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='rgb%28109.8, 168, 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var(--bs-breadcrumb-padding-x);margin-bottom:var(--bs-breadcrumb-margin-bottom);font-size:var(--bs-breadcrumb-font-size);list-style:none;background-color:var(--bs-breadcrumb-bg);border-radius:var(--bs-breadcrumb-border-radius)}.breadcrumb-item+.breadcrumb-item{padding-left:var(--bs-breadcrumb-item-padding-x)}.breadcrumb-item+.breadcrumb-item::before{float:left;padding-right:var(--bs-breadcrumb-item-padding-x);color:var(--bs-breadcrumb-divider-color);content:var(--bs-breadcrumb-divider, ">") /* rtl: var(--bs-breadcrumb-divider, ">") */}.breadcrumb-item.active{color:var(--bs-breadcrumb-item-active-color)}.pagination{--bs-pagination-padding-x: 0.75rem;--bs-pagination-padding-y: 0.375rem;--bs-pagination-font-size:1rem;--bs-pagination-color: #0d6efd;--bs-pagination-bg: #ffffff;--bs-pagination-border-width: 1px;--bs-pagination-border-color: rgb(221.7, 222.3, 222.9);--bs-pagination-border-radius: 0.375rem;--bs-pagination-hover-color: rgb(10.4, 88, 202.4);--bs-pagination-hover-bg: #f8f9fa;--bs-pagination-hover-border-color: rgb(221.7, 222.3, 222.9);--bs-pagination-focus-color: rgb(10.4, 88, 202.4);--bs-pagination-focus-bg: #e9ecef;--bs-pagination-focus-box-shadow: 0 0 0 0.25rem rgba(13, 110, 253, 0.25);--bs-pagination-active-color: #ffffff;--bs-pagination-active-bg: #0d6efd;--bs-pagination-active-border-color: #0d6efd;--bs-pagination-disabled-color: rgba(33, 37, 41, 0.75);--bs-pagination-disabled-bg: #e9ecef;--bs-pagination-disabled-border-color: rgb(221.7, 222.3, 222.9);display:flex;display:-webkit-flex;padding-left:0;list-style:none}.page-link{position:relative;display:block;padding:var(--bs-pagination-padding-y) var(--bs-pagination-padding-x);font-size:var(--bs-pagination-font-size);color:var(--bs-pagination-color);text-decoration:none;-webkit-text-decoration:none;-moz-text-decoration:none;-ms-text-decoration:none;-o-text-decoration:none;background-color:var(--bs-pagination-bg);border:var(--bs-pagination-border-width) solid var(--bs-pagination-border-color);transition:color .15s ease-in-out,background-color .15s ease-in-out,border-color .15s ease-in-out,box-shadow .15s ease-in-out}@media(prefers-reduced-motion: reduce){.page-link{transition:none}}.page-link:hover{z-index:2;color:var(--bs-pagination-hover-color);background-color:var(--bs-pagination-hover-bg);border-color:var(--bs-pagination-hover-border-color)}.page-link:focus{z-index:3;color:var(--bs-pagination-focus-color);background-color:var(--bs-pagination-focus-bg);outline:0;box-shadow:var(--bs-pagination-focus-box-shadow)}.page-link.active,.active>.page-link{z-index:3;color:var(--bs-pagination-active-color);background-color:var(--bs-pagination-active-bg);border-color:var(--bs-pagination-active-border-color)}.page-link.disabled,.disabled>.page-link{color:var(--bs-pagination-disabled-color);pointer-events:none;background-color:var(--bs-pagination-disabled-bg);border-color:var(--bs-pagination-disabled-border-color)}.page-item:not(:first-child) .page-link{margin-left:calc(1px*-1)}.page-item:first-child .page-link{border-top-left-radius:var(--bs-pagination-border-radius);border-bottom-left-radius:var(--bs-pagination-border-radius)}.page-item:last-child .page-link{border-top-right-radius:var(--bs-pagination-border-radius);border-bottom-right-radius:var(--bs-pagination-border-radius)}.pagination-lg{--bs-pagination-padding-x: 1.5rem;--bs-pagination-padding-y: 0.75rem;--bs-pagination-font-size:1.25rem;--bs-pagination-border-radius: 0.5rem}.pagination-sm{--bs-pagination-padding-x: 0.5rem;--bs-pagination-padding-y: 0.25rem;--bs-pagination-font-size:0.875rem;--bs-pagination-border-radius: 0.25rem}.badge{--bs-badge-padding-x: 0.65em;--bs-badge-padding-y: 0.35em;--bs-badge-font-size:0.75em;--bs-badge-font-weight: 700;--bs-badge-color: #ffffff;--bs-badge-border-radius: 0.375rem;display:inline-block;padding:var(--bs-badge-padding-y) var(--bs-badge-padding-x);font-size:var(--bs-badge-font-size);font-weight:var(--bs-badge-font-weight);line-height:1;color:var(--bs-badge-color);text-align:center;white-space:nowrap;vertical-align:baseline;border-radius:var(--bs-badge-border-radius)}.badge:empty{display:none}.btn .badge{position:relative;top:-1px}.alert{--bs-alert-bg: transparent;--bs-alert-padding-x: 1rem;--bs-alert-padding-y: 1rem;--bs-alert-margin-bottom: 1rem;--bs-alert-color: inherit;--bs-alert-border-color: transparent;--bs-alert-border: 1px solid var(--bs-alert-border-color);--bs-alert-border-radius: 0.375rem;--bs-alert-link-color: inherit;position:relative;padding:var(--bs-alert-padding-y) var(--bs-alert-padding-x);margin-bottom:var(--bs-alert-margin-bottom);color:var(--bs-alert-color);background-color:var(--bs-alert-bg);border:var(--bs-alert-border);border-radius:var(--bs-alert-border-radius)}.alert-heading{color:inherit}.alert-link{font-weight:700;color:var(--bs-alert-link-color)}.alert-dismissible{padding-right:3rem}.alert-dismissible .btn-close{position:absolute;top:0;right:0;z-index:2;padding:1.25rem 1rem}.alert-default{--bs-alert-color: var(--bs-default-text-emphasis);--bs-alert-bg: var(--bs-default-bg-subtle);--bs-alert-border-color: var(--bs-default-border-subtle);--bs-alert-link-color: var(--bs-default-text-emphasis)}.alert-primary{--bs-alert-color: var(--bs-primary-text-emphasis);--bs-alert-bg: var(--bs-primary-bg-subtle);--bs-alert-border-color: var(--bs-primary-border-subtle);--bs-alert-link-color: var(--bs-primary-text-emphasis)}.alert-secondary{--bs-alert-color: var(--bs-secondary-text-emphasis);--bs-alert-bg: var(--bs-secondary-bg-subtle);--bs-alert-border-color: var(--bs-secondary-border-subtle);--bs-alert-link-color: var(--bs-secondary-text-emphasis)}.alert-success{--bs-alert-color: var(--bs-success-text-emphasis);--bs-alert-bg: var(--bs-success-bg-subtle);--bs-alert-border-color: var(--bs-success-border-subtle);--bs-alert-link-color: var(--bs-success-text-emphasis)}.alert-info{--bs-alert-color: var(--bs-info-text-emphasis);--bs-alert-bg: var(--bs-info-bg-subtle);--bs-alert-border-color: var(--bs-info-border-subtle);--bs-alert-link-color: var(--bs-info-text-emphasis)}.alert-warning{--bs-alert-color: var(--bs-warning-text-emphasis);--bs-alert-bg: var(--bs-warning-bg-subtle);--bs-alert-border-color: var(--bs-warning-border-subtle);--bs-alert-link-color: var(--bs-warning-text-emphasis)}.alert-danger{--bs-alert-color: var(--bs-danger-text-emphasis);--bs-alert-bg: var(--bs-danger-bg-subtle);--bs-alert-border-color: var(--bs-danger-border-subtle);--bs-alert-link-color: var(--bs-danger-text-emphasis)}.alert-light{--bs-alert-color: var(--bs-light-text-emphasis);--bs-alert-bg: var(--bs-light-bg-subtle);--bs-alert-border-color: var(--bs-light-border-subtle);--bs-alert-link-color: var(--bs-light-text-emphasis)}.alert-dark{--bs-alert-color: var(--bs-dark-text-emphasis);--bs-alert-bg: var(--bs-dark-bg-subtle);--bs-alert-border-color: var(--bs-dark-border-subtle);--bs-alert-link-color: var(--bs-dark-text-emphasis)}@keyframes progress-bar-stripes{0%{background-position-x:1rem}}.progress,.progress-stacked{--bs-progress-height: 1rem;--bs-progress-font-size:0.75rem;--bs-progress-bg: #e9ecef;--bs-progress-border-radius: 0.375rem;--bs-progress-box-shadow: inset 0 1px 2px rgba(0, 0, 0, 0.075);--bs-progress-bar-color: #ffffff;--bs-progress-bar-bg: #0d6efd;--bs-progress-bar-transition: width 0.6s ease;display:flex;display:-webkit-flex;height:var(--bs-progress-height);overflow:hidden;font-size:var(--bs-progress-font-size);background-color:var(--bs-progress-bg);border-radius:var(--bs-progress-border-radius)}.progress-bar{display:flex;display:-webkit-flex;flex-direction:column;-webkit-flex-direction:column;justify-content:center;-webkit-justify-content:center;overflow:hidden;color:var(--bs-progress-bar-color);text-align:center;white-space:nowrap;background-color:var(--bs-progress-bar-bg);transition:var(--bs-progress-bar-transition)}@media(prefers-reduced-motion: reduce){.progress-bar{transition:none}}.progress-bar-striped{background-image:linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);background-size:var(--bs-progress-height) var(--bs-progress-height)}.progress-stacked>.progress{overflow:visible}.progress-stacked>.progress>.progress-bar{width:100%}.progress-bar-animated{animation:1s linear infinite progress-bar-stripes}@media(prefers-reduced-motion: reduce){.progress-bar-animated{animation:none}}.list-group{--bs-list-group-color: #212529;--bs-list-group-bg: #ffffff;--bs-list-group-border-color: rgb(221.7, 222.3, 222.9);--bs-list-group-border-width: 1px;--bs-list-group-border-radius: 0.375rem;--bs-list-group-item-padding-x: 1rem;--bs-list-group-item-padding-y: 0.5rem;--bs-list-group-action-color: rgba(33, 37, 41, 0.75);--bs-list-group-action-hover-color: #000;--bs-list-group-action-hover-bg: #f8f9fa;--bs-list-group-action-active-color: #212529;--bs-list-group-action-active-bg: #e9ecef;--bs-list-group-disabled-color: rgba(33, 37, 41, 0.75);--bs-list-group-disabled-bg: #ffffff;--bs-list-group-active-color: #ffffff;--bs-list-group-active-bg: #0d6efd;--bs-list-group-active-border-color: #0d6efd;display:flex;display:-webkit-flex;flex-direction:column;-webkit-flex-direction:column;padding-left:0;margin-bottom:0;border-radius:var(--bs-list-group-border-radius)}.list-group-numbered{list-style-type:none;counter-reset:section}.list-group-numbered>.list-group-item::before{content:counters(section, ".") ". ";counter-increment:section}.list-group-item-action{width:100%;color:var(--bs-list-group-action-color);text-align:inherit}.list-group-item-action:hover,.list-group-item-action:focus{z-index:1;color:var(--bs-list-group-action-hover-color);text-decoration:none;background-color:var(--bs-list-group-action-hover-bg)}.list-group-item-action:active{color:var(--bs-list-group-action-active-color);background-color:var(--bs-list-group-action-active-bg)}.list-group-item{position:relative;display:block;padding:var(--bs-list-group-item-padding-y) var(--bs-list-group-item-padding-x);color:var(--bs-list-group-color);text-decoration:none;-webkit-text-decoration:none;-moz-text-decoration:none;-ms-text-decoration:none;-o-text-decoration:none;background-color:var(--bs-list-group-bg);border:var(--bs-list-group-border-width) solid var(--bs-list-group-border-color)}.list-group-item:first-child{border-top-left-radius:inherit;border-top-right-radius:inherit}.list-group-item:last-child{border-bottom-right-radius:inherit;border-bottom-left-radius:inherit}.list-group-item.disabled,.list-group-item:disabled{color:var(--bs-list-group-disabled-color);pointer-events:none;background-color:var(--bs-list-group-disabled-bg)}.list-group-item.active{z-index:2;color:var(--bs-list-group-active-color);background-color:var(--bs-list-group-active-bg);border-color:var(--bs-list-group-active-border-color)}.list-group-item+.list-group-item{border-top-width:0}.list-group-item+.list-group-item.active{margin-top:calc(-1*var(--bs-list-group-border-width));border-top-width:var(--bs-list-group-border-width)}.list-group-horizontal{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal>.list-group-item.active{margin-top:0}.list-group-horizontal>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal>.list-group-item+.list-group-item.active{margin-left:calc(-1*var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}@media(min-width: 576px){.list-group-horizontal-sm{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal-sm>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-sm>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal-sm>.list-group-item.active{margin-top:0}.list-group-horizontal-sm>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal-sm>.list-group-item+.list-group-item.active{margin-left:calc(-1*var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}}@media(min-width: 768px){.list-group-horizontal-md{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal-md>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-md>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal-md>.list-group-item.active{margin-top:0}.list-group-horizontal-md>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal-md>.list-group-item+.list-group-item.active{margin-left:calc(-1*var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}}@media(min-width: 992px){.list-group-horizontal-lg{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal-lg>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-lg>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal-lg>.list-group-item.active{margin-top:0}.list-group-horizontal-lg>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal-lg>.list-group-item+.list-group-item.active{margin-left:calc(-1*var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}}@media(min-width: 1200px){.list-group-horizontal-xl{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal-xl>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-xl>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal-xl>.list-group-item.active{margin-top:0}.list-group-horizontal-xl>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal-xl>.list-group-item+.list-group-item.active{margin-left:calc(-1*var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}}@media(min-width: 1400px){.list-group-horizontal-xxl{flex-direction:row;-webkit-flex-direction:row}.list-group-horizontal-xxl>.list-group-item:first-child:not(:last-child){border-bottom-left-radius:var(--bs-list-group-border-radius);border-top-right-radius:0}.list-group-horizontal-xxl>.list-group-item:last-child:not(:first-child){border-top-right-radius:var(--bs-list-group-border-radius);border-bottom-left-radius:0}.list-group-horizontal-xxl>.list-group-item.active{margin-top:0}.list-group-horizontal-xxl>.list-group-item+.list-group-item{border-top-width:var(--bs-list-group-border-width);border-left-width:0}.list-group-horizontal-xxl>.list-group-item+.list-group-item.active{margin-left:calc(-1*var(--bs-list-group-border-width));border-left-width:var(--bs-list-group-border-width)}}.list-group-flush{border-radius:0}.list-group-flush>.list-group-item{border-width:0 0 var(--bs-list-group-border-width)}.list-group-flush>.list-group-item:last-child{border-bottom-width:0}.list-group-item-default{--bs-list-group-color: var(--bs-default-text-emphasis);--bs-list-group-bg: var(--bs-default-bg-subtle);--bs-list-group-border-color: var(--bs-default-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-default-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-default-border-subtle);--bs-list-group-active-color: var(--bs-default-bg-subtle);--bs-list-group-active-bg: var(--bs-default-text-emphasis);--bs-list-group-active-border-color: var(--bs-default-text-emphasis)}.list-group-item-primary{--bs-list-group-color: var(--bs-primary-text-emphasis);--bs-list-group-bg: var(--bs-primary-bg-subtle);--bs-list-group-border-color: var(--bs-primary-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-primary-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-primary-border-subtle);--bs-list-group-active-color: var(--bs-primary-bg-subtle);--bs-list-group-active-bg: var(--bs-primary-text-emphasis);--bs-list-group-active-border-color: var(--bs-primary-text-emphasis)}.list-group-item-secondary{--bs-list-group-color: var(--bs-secondary-text-emphasis);--bs-list-group-bg: var(--bs-secondary-bg-subtle);--bs-list-group-border-color: var(--bs-secondary-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-secondary-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-secondary-border-subtle);--bs-list-group-active-color: var(--bs-secondary-bg-subtle);--bs-list-group-active-bg: var(--bs-secondary-text-emphasis);--bs-list-group-active-border-color: var(--bs-secondary-text-emphasis)}.list-group-item-success{--bs-list-group-color: var(--bs-success-text-emphasis);--bs-list-group-bg: var(--bs-success-bg-subtle);--bs-list-group-border-color: var(--bs-success-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-success-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-success-border-subtle);--bs-list-group-active-color: var(--bs-success-bg-subtle);--bs-list-group-active-bg: var(--bs-success-text-emphasis);--bs-list-group-active-border-color: var(--bs-success-text-emphasis)}.list-group-item-info{--bs-list-group-color: var(--bs-info-text-emphasis);--bs-list-group-bg: var(--bs-info-bg-subtle);--bs-list-group-border-color: var(--bs-info-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-info-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-info-border-subtle);--bs-list-group-active-color: var(--bs-info-bg-subtle);--bs-list-group-active-bg: var(--bs-info-text-emphasis);--bs-list-group-active-border-color: var(--bs-info-text-emphasis)}.list-group-item-warning{--bs-list-group-color: var(--bs-warning-text-emphasis);--bs-list-group-bg: var(--bs-warning-bg-subtle);--bs-list-group-border-color: var(--bs-warning-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-warning-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-warning-border-subtle);--bs-list-group-active-color: var(--bs-warning-bg-subtle);--bs-list-group-active-bg: var(--bs-warning-text-emphasis);--bs-list-group-active-border-color: var(--bs-warning-text-emphasis)}.list-group-item-danger{--bs-list-group-color: var(--bs-danger-text-emphasis);--bs-list-group-bg: var(--bs-danger-bg-subtle);--bs-list-group-border-color: var(--bs-danger-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-danger-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-danger-border-subtle);--bs-list-group-active-color: var(--bs-danger-bg-subtle);--bs-list-group-active-bg: var(--bs-danger-text-emphasis);--bs-list-group-active-border-color: var(--bs-danger-text-emphasis)}.list-group-item-light{--bs-list-group-color: var(--bs-light-text-emphasis);--bs-list-group-bg: var(--bs-light-bg-subtle);--bs-list-group-border-color: var(--bs-light-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-light-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-light-border-subtle);--bs-list-group-active-color: var(--bs-light-bg-subtle);--bs-list-group-active-bg: var(--bs-light-text-emphasis);--bs-list-group-active-border-color: var(--bs-light-text-emphasis)}.list-group-item-dark{--bs-list-group-color: var(--bs-dark-text-emphasis);--bs-list-group-bg: var(--bs-dark-bg-subtle);--bs-list-group-border-color: var(--bs-dark-border-subtle);--bs-list-group-action-hover-color: var(--bs-emphasis-color);--bs-list-group-action-hover-bg: var(--bs-dark-border-subtle);--bs-list-group-action-active-color: var(--bs-emphasis-color);--bs-list-group-action-active-bg: var(--bs-dark-border-subtle);--bs-list-group-active-color: var(--bs-dark-bg-subtle);--bs-list-group-active-bg: var(--bs-dark-text-emphasis);--bs-list-group-active-border-color: var(--bs-dark-text-emphasis)}.btn-close{--bs-btn-close-color: #000;--bs-btn-close-bg: url("data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16' fill='%23000'%3e%3cpath d='M.293.293a1 1 0 0 1 1.414 0L8 6.586 14.293.293a1 1 0 1 1 1.414 1.414L9.414 8l6.293 6.293a1 1 0 0 1-1.414 1.414L8 9.414l-6.293 6.293a1 1 0 0 1-1.414-1.414L6.586 8 .293 1.707a1 1 0 0 1 0-1.414z'/%3e%3c/svg%3e");--bs-btn-close-opacity: 0.5;--bs-btn-close-hover-opacity: 0.75;--bs-btn-close-focus-shadow: 0 0 0 0.25rem rgba(13, 110, 253, 0.25);--bs-btn-close-focus-opacity: 1;--bs-btn-close-disabled-opacity: 0.25;--bs-btn-close-white-filter: invert(1) grayscale(100%) brightness(200%);box-sizing:content-box;width:1em;height:1em;padding:.25em .25em;color:var(--bs-btn-close-color);background:rgba(0,0,0,0) var(--bs-btn-close-bg) center/1em auto no-repeat;border:0;border-radius:.375rem;opacity:var(--bs-btn-close-opacity)}.btn-close:hover{color:var(--bs-btn-close-color);text-decoration:none;opacity:var(--bs-btn-close-hover-opacity)}.btn-close:focus{outline:0;box-shadow:var(--bs-btn-close-focus-shadow);opacity:var(--bs-btn-close-focus-opacity)}.btn-close:disabled,.btn-close.disabled{pointer-events:none;user-select:none;-webkit-user-select:none;-moz-user-select:none;-ms-user-select:none;-o-user-select:none;opacity:var(--bs-btn-close-disabled-opacity)}.btn-close-white{filter:var(--bs-btn-close-white-filter)}[data-bs-theme=dark] .btn-close{filter:var(--bs-btn-close-white-filter)}.toast{--bs-toast-zindex: 1090;--bs-toast-padding-x: 0.75rem;--bs-toast-padding-y: 0.5rem;--bs-toast-spacing: 1.5rem;--bs-toast-max-width: 350px;--bs-toast-font-size:0.875rem;--bs-toast-color: ;--bs-toast-bg: rgba(255, 255, 255, 0.85);--bs-toast-border-width: 1px;--bs-toast-border-color: rgba(0, 0, 0, 0.175);--bs-toast-border-radius: 0.375rem;--bs-toast-box-shadow: 0 0.5rem 1rem rgba(0, 0, 0, 0.15);--bs-toast-header-color: rgba(33, 37, 41, 0.75);--bs-toast-header-bg: rgba(255, 255, 255, 0.85);--bs-toast-header-border-color: rgba(0, 0, 0, 0.175);width:var(--bs-toast-max-width);max-width:100%;font-size:var(--bs-toast-font-size);color:var(--bs-toast-color);pointer-events:auto;background-color:var(--bs-toast-bg);background-clip:padding-box;border:var(--bs-toast-border-width) solid var(--bs-toast-border-color);box-shadow:var(--bs-toast-box-shadow);border-radius:var(--bs-toast-border-radius)}.toast.showing{opacity:0}.toast:not(.show){display:none}.toast-container{--bs-toast-zindex: 1090;position:absolute;z-index:var(--bs-toast-zindex);width:max-content;width:-webkit-max-content;width:-moz-max-content;width:-ms-max-content;width:-o-max-content;max-width:100%;pointer-events:none}.toast-container>:not(:last-child){margin-bottom:var(--bs-toast-spacing)}.toast-header{display:flex;display:-webkit-flex;align-items:center;-webkit-align-items:center;padding:var(--bs-toast-padding-y) var(--bs-toast-padding-x);color:var(--bs-toast-header-color);background-color:var(--bs-toast-header-bg);background-clip:padding-box;border-bottom:var(--bs-toast-border-width) solid var(--bs-toast-header-border-color);border-top-left-radius:calc(var(--bs-toast-border-radius) - var(--bs-toast-border-width));border-top-right-radius:calc(var(--bs-toast-border-radius) - var(--bs-toast-border-width))}.toast-header .btn-close{margin-right:calc(-0.5*var(--bs-toast-padding-x));margin-left:var(--bs-toast-padding-x)}.toast-body{padding:var(--bs-toast-padding-x);word-wrap:break-word}.modal{--bs-modal-zindex: 1055;--bs-modal-width: 500px;--bs-modal-padding: 1rem;--bs-modal-margin: 0.5rem;--bs-modal-color: ;--bs-modal-bg: #ffffff;--bs-modal-border-color: rgba(0, 0, 0, 0.175);--bs-modal-border-width: 1px;--bs-modal-border-radius: 0.5rem;--bs-modal-box-shadow: 0 0.125rem 0.25rem rgba(0, 0, 0, 0.075);--bs-modal-inner-border-radius: calc(0.5rem - 1px);--bs-modal-header-padding-x: 1rem;--bs-modal-header-padding-y: 1rem;--bs-modal-header-padding: 1rem 1rem;--bs-modal-header-border-color: rgb(221.7, 222.3, 222.9);--bs-modal-header-border-width: 1px;--bs-modal-title-line-height: 1.5;--bs-modal-footer-gap: 0.5rem;--bs-modal-footer-bg: ;--bs-modal-footer-border-color: rgb(221.7, 222.3, 222.9);--bs-modal-footer-border-width: 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.modal-content{height:100%;border:0;border-radius:0}.modal-fullscreen-sm-down .modal-header,.modal-fullscreen-sm-down .modal-footer{border-radius:0}.modal-fullscreen-sm-down .modal-body{overflow-y:auto}}@media(max-width: 767.98px){.modal-fullscreen-md-down{width:100vw;max-width:none;height:100%;margin:0}.modal-fullscreen-md-down .modal-content{height:100%;border:0;border-radius:0}.modal-fullscreen-md-down .modal-header,.modal-fullscreen-md-down .modal-footer{border-radius:0}.modal-fullscreen-md-down .modal-body{overflow-y:auto}}@media(max-width: 991.98px){.modal-fullscreen-lg-down{width:100vw;max-width:none;height:100%;margin:0}.modal-fullscreen-lg-down .modal-content{height:100%;border:0;border-radius:0}.modal-fullscreen-lg-down .modal-header,.modal-fullscreen-lg-down .modal-footer{border-radius:0}.modal-fullscreen-lg-down .modal-body{overflow-y:auto}}@media(max-width: 1199.98px){.modal-fullscreen-xl-down{width:100vw;max-width:none;height:100%;margin:0}.modal-fullscreen-xl-down 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auto);grid-template-areas:"top" "bottom";overflow:hidden}.bslib-value-box.showcase-bottom .value-box-grid .value-box-showcase{grid-area:bottom;padding:0;margin:0}.bslib-value-box.showcase-bottom .value-box-grid .value-box-area{grid-area:top}.bslib-value-box.showcase-bottom[data-full-screen=true] .value-box-grid{grid-template-rows:1fr var(---bslib-value-box-showcase-h-fs, 2fr)}.bslib-value-box.showcase-bottom[data-full-screen=true] .value-box-grid .value-box-showcase{padding:1rem}[data-bs-theme=dark] .bslib-value-box{--bslib-value-box-shadow: 0 0.5rem 1rem rgb(0 0 0 / 50%)}@media(min-width: 576px){.nav:not(.nav-hidden){display:flex !important;display:-webkit-flex !important}.nav:not(.nav-hidden):not(.nav-stacked):not(.flex-column){float:none !important}.nav:not(.nav-hidden):not(.nav-stacked):not(.flex-column)>.bslib-nav-spacer{margin-left:auto 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rgba(0,0,0,.15);margin:.2rem .4rem;padding:.55rem !important;font-size:.8rem;cursor:pointer;opacity:.7;z-index:1070}.bslib-full-screen-enter:hover{opacity:1}.card[data-full-screen=false]:hover>*>.bslib-full-screen-enter{display:block}.bslib-has-full-screen .card:hover>*>.bslib-full-screen-enter{display:none}@media(max-width: 575.98px){.bslib-full-screen-enter{display:none !important}}.bslib-full-screen-exit{position:relative;top:1.35rem;font-size:.9rem;cursor:pointer;text-decoration:none;display:flex;float:right;margin-right:2.15rem;align-items:center;color:rgba(var(--bs-body-bg-rgb), 0.8)}.bslib-full-screen-exit:hover{color:rgba(var(--bs-body-bg-rgb), 1)}.bslib-full-screen-exit svg{margin-left:.5rem;font-size:1.5rem}#bslib-full-screen-overlay{position:fixed;inset:0;background-color:rgba(var(--bs-body-color-rgb), 0.6);backdrop-filter:blur(2px);-webkit-backdrop-filter:blur(2px);z-index:1069;animation:bslib-full-screen-overlay-enter 400ms cubic-bezier(0.6, 0.02, 0.65, 1) 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992px){.bslib-grid.grid.bslib-grid--row-heights--lg{--bslib-grid--row-heights: var(--bslib-grid--row-heights--lg)}}@media(min-width: 1200px){.bslib-grid.grid.bslib-grid--row-heights--xl{--bslib-grid--row-heights: var(--bslib-grid--row-heights--xl)}}@media(min-width: 1400px){.bslib-grid.grid.bslib-grid--row-heights--xxl{--bslib-grid--row-heights: var(--bslib-grid--row-heights--xxl)}}.bslib-grid>*>.shiny-input-container{width:100%}.bslib-grid-item{grid-column:auto/span 1}@media(max-width: 767.98px){.bslib-grid-item{grid-column:1/-1}}@media(max-width: 575.98px){.bslib-grid{grid-template-columns:1fr !important;height:var(--bslib-grid-height-mobile)}.bslib-grid.grid{height:unset !important;grid-auto-rows:var(--bslib-grid--row-heights--xs, auto)}}.accordion .accordion-header{font-size:calc(1.29rem + 0.48vw);margin-top:0;margin-bottom:.5rem;font-weight:500;line-height:1.2;color:var(--bs-heading-color);margin-bottom:0}@media(min-width: 1200px){.accordion .accordion-header{font-size:1.65rem}}.accordion .accordion-icon:not(:empty){margin-right:.75rem;display:flex}.accordion .accordion-button:not(.collapsed){box-shadow:none}.accordion 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rgb(209, 231, 220.8);--quarto-scss-export-green-200: rgb(163, 207, 186.6);--quarto-scss-export-green-300: rgb(117, 183, 152.4);--quarto-scss-export-green-400: rgb(71, 159, 118.2);--quarto-scss-export-green-500: #198754;--quarto-scss-export-green-600: rgb(20, 108, 67.2);--quarto-scss-export-green-700: rgb(15, 81, 50.4);--quarto-scss-export-green-800: rgb(10, 54, 33.6);--quarto-scss-export-green-900: rgb(5, 27, 16.8);--quarto-scss-export-teal-100: rgb(210.4, 244.2, 234.2);--quarto-scss-export-teal-200: rgb(165.8, 233.4, 213.4);--quarto-scss-export-teal-300: rgb(121.2, 222.6, 192.6);--quarto-scss-export-teal-400: rgb(76.6, 211.8, 171.8);--quarto-scss-export-teal-500: #20c997;--quarto-scss-export-teal-600: rgb(25.6, 160.8, 120.8);--quarto-scss-export-teal-700: rgb(19.2, 120.6, 90.6);--quarto-scss-export-teal-800: rgb(12.8, 80.4, 60.4);--quarto-scss-export-teal-900: rgb(6.4, 40.2, 30.2);--quarto-scss-export-cyan-100: rgb(206.6, 244.4, 252);--quarto-scss-export-cyan-200: rgb(158.2, 233.8, 249);--quarto-scss-export-cyan-300: rgb(109.8, 223.2, 246);--quarto-scss-export-cyan-400: rgb(61.4, 212.6, 243);--quarto-scss-export-cyan-500: #0dcaf0;--quarto-scss-export-cyan-600: rgb(10.4, 161.6, 192);--quarto-scss-export-cyan-700: rgb(7.8, 121.2, 144);--quarto-scss-export-cyan-800: rgb(5.2, 80.8, 96);--quarto-scss-export-cyan-900: rgb(2.6, 40.4, 48);--quarto-scss-export-default: #dee2e6;--quarto-scss-export-secondary: #6c757d;--quarto-scss-export-success: #198754;--quarto-scss-export-info: #0dcaf0;--quarto-scss-export-warning: #ffc107;--quarto-scss-export-danger: #dc3545;--quarto-scss-export-light: #f8f9fa;--quarto-scss-export-dark: #212529;--quarto-scss-export-primary-text-emphasis: rgb(5.2, 44, 101.2);--quarto-scss-export-secondary-text-emphasis: rgb(43.2, 46.8, 50);--quarto-scss-export-success-text-emphasis: rgb(10, 54, 33.6);--quarto-scss-export-info-text-emphasis: rgb(5.2, 80.8, 96);--quarto-scss-export-warning-text-emphasis: rgb(102, 77.2, 2.8);--quarto-scss-export-danger-text-emphasis: rgb(88, 21.2, 27.6);--quarto-scss-export-light-text-emphasis: #495057;--quarto-scss-export-dark-text-emphasis: #495057;--quarto-scss-export-primary-bg-subtle: rgb(206.6, 226, 254.6);--quarto-scss-export-secondary-bg-subtle: rgb(225.6, 227.4, 229);--quarto-scss-export-success-bg-subtle: rgb(209, 231, 220.8);--quarto-scss-export-info-bg-subtle: rgb(206.6, 244.4, 252);--quarto-scss-export-warning-bg-subtle: rgb(255, 242.6, 205.4);--quarto-scss-export-danger-bg-subtle: rgb(248, 214.6, 217.8);--quarto-scss-export-light-bg-subtle: rgb(251.5, 252, 252.5);--quarto-scss-export-dark-bg-subtle: #ced4da;--quarto-scss-export-primary-border-subtle: rgb(158.2, 197, 254.2);--quarto-scss-export-secondary-border-subtle: rgb(196.2, 199.8, 203);--quarto-scss-export-success-border-subtle: rgb(163, 207, 186.6);--quarto-scss-export-info-border-subtle: rgb(158.2, 233.8, 249);--quarto-scss-export-warning-border-subtle: rgb(255, 230.2, 155.8);--quarto-scss-export-danger-border-subtle: rgb(241, 174.2, 180.6);--quarto-scss-export-light-border-subtle: #e9ecef;--quarto-scss-export-dark-border-subtle: #adb5bd;--quarto-scss-export-body-text-align: ;--quarto-scss-export-body-color: #212529;--quarto-scss-export-body-bg: #ffffff;--quarto-scss-export-body-secondary-color: rgba(33, 37, 41, 0.75);--quarto-scss-export-body-secondary-bg: #e9ecef;--quarto-scss-export-body-tertiary-color: rgba(33, 37, 41, 0.5);--quarto-scss-export-body-tertiary-bg: #f8f9fa;--quarto-scss-export-body-emphasis-color: #000;--quarto-scss-export-link-hover-color: rgb(10.4, 88, 202.4);--quarto-scss-export-link-hover-decoration: ;--quarto-scss-export-border-color-translucent: rgba(0, 0, 0, 0.175);--quarto-scss-export-component-active-bg: #0d6efd;--quarto-scss-export-component-active-color: #ffffff;--quarto-scss-export-focus-ring-color: rgba(13, 110, 253, 0.25);--quarto-scss-export-headings-font-family: ;--quarto-scss-export-headings-font-style: ;--quarto-scss-export-display-font-family: ;--quarto-scss-export-display-font-style: ;--quarto-scss-export-text-muted: rgba(33, 37, 41, 0.75);--quarto-scss-export-blockquote-footer-color: #6c757d;--quarto-scss-export-blockquote-border-color: #e9ecef;--quarto-scss-export-hr-bg-color: ;--quarto-scss-export-hr-height: ;--quarto-scss-export-hr-border-color: ;--quarto-scss-export-legend-font-weight: ;--quarto-scss-export-mark-bg: rgb(255, 242.6, 205.4);--quarto-scss-export-table-color: #212529;--quarto-scss-export-table-bg: #ffffff;--quarto-scss-export-table-accent-bg: transparent;--quarto-scss-export-table-th-font-weight: ;--quarto-scss-export-table-striped-color: #212529;--quarto-scss-export-table-striped-bg: rgba(0, 0, 0, 0.05);--quarto-scss-export-table-active-color: #212529;--quarto-scss-export-table-active-bg: rgba(0, 0, 0, 0.1);--quarto-scss-export-table-hover-color: #212529;--quarto-scss-export-table-hover-bg: rgba(0, 0, 0, 0.075);--quarto-scss-export-table-caption-color: rgba(33, 37, 41, 0.75);--quarto-scss-export-input-btn-font-family: ;--quarto-scss-export-input-btn-focus-color: rgba(13, 110, 253, 0.25);--quarto-scss-export-btn-color: #212529;--quarto-scss-export-btn-font-family: ;--quarto-scss-export-btn-white-space: ;--quarto-scss-export-btn-link-color: #0d6efd;--quarto-scss-export-btn-link-hover-color: rgb(10.4, 88, 202.4);--quarto-scss-export-btn-link-disabled-color: #6c757d;--quarto-scss-export-form-text-font-style: ;--quarto-scss-export-form-text-font-weight: ;--quarto-scss-export-form-text-color: rgba(33, 37, 41, 0.75);--quarto-scss-export-form-label-font-size: ;--quarto-scss-export-form-label-font-style: ;--quarto-scss-export-form-label-font-weight: ;--quarto-scss-export-form-label-color: ;--quarto-scss-export-input-font-family: ;--quarto-scss-export-input-disabled-color: ;--quarto-scss-export-input-disabled-bg: #e9ecef;--quarto-scss-export-input-disabled-border-color: ;--quarto-scss-export-input-color: #212529;--quarto-scss-export-input-focus-bg: #ffffff;--quarto-scss-export-input-focus-border-color: rgb(134, 182.5, 254);--quarto-scss-export-input-focus-color: #212529;--quarto-scss-export-input-placeholder-color: rgba(33, 37, 41, 0.75);--quarto-scss-export-input-plaintext-color: #212529;--quarto-scss-export-form-check-label-color: ;--quarto-scss-export-form-check-transition: ;--quarto-scss-export-form-check-input-bg: #ffffff;--quarto-scss-export-form-check-input-focus-border: rgb(134, 182.5, 254);--quarto-scss-export-form-check-input-checked-color: #ffffff;--quarto-scss-export-form-check-input-checked-bg-color: #0d6efd;--quarto-scss-export-form-check-input-checked-border-color: #0d6efd;--quarto-scss-export-form-check-input-indeterminate-color: #ffffff;--quarto-scss-export-form-check-input-indeterminate-bg-color: #0d6efd;--quarto-scss-export-form-check-input-indeterminate-border-color: #0d6efd;--quarto-scss-export-form-switch-color: rgba(0, 0, 0, 0.25);--quarto-scss-export-form-switch-focus-color: rgb(134, 182.5, 254);--quarto-scss-export-form-switch-checked-color: #ffffff;--quarto-scss-export-input-group-addon-color: #212529;--quarto-scss-export-input-group-addon-bg: #f8f9fa;--quarto-scss-export-input-group-addon-border-color: rgb(221.7, 222.3, 222.9);--quarto-scss-export-form-select-font-family: ;--quarto-scss-export-form-select-color: #212529;--quarto-scss-export-form-select-bg: #ffffff;--quarto-scss-export-form-select-disabled-color: ;--quarto-scss-export-form-select-disabled-bg: #e9ecef;--quarto-scss-export-form-select-disabled-border-color: ;--quarto-scss-export-form-select-indicator-color: #343a40;--quarto-scss-export-form-select-border-color: rgb(221.7, 222.3, 222.9);--quarto-scss-export-form-select-focus-border-color: rgb(134, 182.5, 254);--quarto-scss-export-form-range-track-bg: #f8f9fa;--quarto-scss-export-form-range-thumb-bg: #0d6efd;--quarto-scss-export-form-range-thumb-active-bg: rgb(182.4, 211.5, 254.4);--quarto-scss-export-form-range-thumb-disabled-bg: rgba(33, 37, 41, 0.75);--quarto-scss-export-form-file-button-color: #212529;--quarto-scss-export-form-file-button-bg: #f8f9fa;--quarto-scss-export-form-file-button-hover-bg: #e9ecef;--quarto-scss-export-form-floating-label-disabled-color: #6c757d;--quarto-scss-export-form-feedback-font-style: ;--quarto-scss-export-form-feedback-valid-color: #198754;--quarto-scss-export-form-feedback-invalid-color: #dc3545;--quarto-scss-export-form-feedback-icon-valid-color: #198754;--quarto-scss-export-form-feedback-icon-invalid-color: #dc3545;--quarto-scss-export-form-valid-color: #198754;--quarto-scss-export-form-valid-border-color: #198754;--quarto-scss-export-form-invalid-color: #dc3545;--quarto-scss-export-form-invalid-border-color: #dc3545;--quarto-scss-export-nav-link-font-size: ;--quarto-scss-export-nav-link-font-weight: ;--quarto-scss-export-nav-link-color: #0d6efd;--quarto-scss-export-nav-link-hover-color: rgb(10.4, 88, 202.4);--quarto-scss-export-nav-link-disabled-color: rgba(33, 37, 41, 0.75);--quarto-scss-export-nav-tabs-border-color: rgb(221.7, 222.3, 222.9);--quarto-scss-export-nav-tabs-link-hover-border-color: #e9ecef #e9ecef rgb(221.7, 222.3, 222.9);--quarto-scss-export-nav-tabs-link-active-color: #000;--quarto-scss-export-nav-tabs-link-active-bg: #ffffff;--quarto-scss-export-nav-pills-link-active-bg: #0d6efd;--quarto-scss-export-nav-pills-link-active-color: #ffffff;--quarto-scss-export-nav-underline-link-active-color: #000;--quarto-scss-export-navbar-padding-x: ;--quarto-scss-export-navbar-light-contrast: #ffffff;--quarto-scss-export-navbar-dark-contrast: #ffffff;--quarto-scss-export-navbar-light-icon-color: rgba(255, 255, 255, 0.75);--quarto-scss-export-navbar-dark-icon-color: rgba(255, 255, 255, 0.75);--quarto-scss-export-dropdown-color: #212529;--quarto-scss-export-dropdown-bg: #ffffff;--quarto-scss-export-dropdown-border-color: rgba(0, 0, 0, 0.175);--quarto-scss-export-dropdown-divider-bg: rgba(0, 0, 0, 0.175);--quarto-scss-export-dropdown-link-color: #212529;--quarto-scss-export-dropdown-link-hover-color: #212529;--quarto-scss-export-dropdown-link-hover-bg: #f8f9fa;--quarto-scss-export-dropdown-link-active-bg: #0d6efd;--quarto-scss-export-dropdown-link-active-color: #ffffff;--quarto-scss-export-dropdown-link-disabled-color: rgba(33, 37, 41, 0.5);--quarto-scss-export-dropdown-header-color: #6c757d;--quarto-scss-export-dropdown-dark-color: #dee2e6;--quarto-scss-export-dropdown-dark-bg: #343a40;--quarto-scss-export-dropdown-dark-border-color: rgba(0, 0, 0, 0.175);--quarto-scss-export-dropdown-dark-divider-bg: rgba(0, 0, 0, 0.175);--quarto-scss-export-dropdown-dark-box-shadow: ;--quarto-scss-export-dropdown-dark-link-color: #dee2e6;--quarto-scss-export-dropdown-dark-link-hover-color: #ffffff;--quarto-scss-export-dropdown-dark-link-hover-bg: rgba(255, 255, 255, 0.15);--quarto-scss-export-dropdown-dark-link-active-color: #ffffff;--quarto-scss-export-dropdown-dark-link-active-bg: #0d6efd;--quarto-scss-export-dropdown-dark-link-disabled-color: #adb5bd;--quarto-scss-export-dropdown-dark-header-color: #adb5bd;--quarto-scss-export-pagination-color: #0d6efd;--quarto-scss-export-pagination-bg: #ffffff;--quarto-scss-export-pagination-border-color: rgb(221.7, 222.3, 222.9);--quarto-scss-export-pagination-focus-color: rgb(10.4, 88, 202.4);--quarto-scss-export-pagination-focus-bg: #e9ecef;--quarto-scss-export-pagination-hover-color: rgb(10.4, 88, 202.4);--quarto-scss-export-pagination-hover-bg: #f8f9fa;--quarto-scss-export-pagination-hover-border-color: rgb(221.7, 222.3, 222.9);--quarto-scss-export-pagination-active-color: #ffffff;--quarto-scss-export-pagination-active-bg: #0d6efd;--quarto-scss-export-pagination-active-border-color: #0d6efd;--quarto-scss-export-pagination-disabled-color: rgba(33, 37, 41, 0.75);--quarto-scss-export-pagination-disabled-bg: #e9ecef;--quarto-scss-export-pagination-disabled-border-color: rgb(221.7, 222.3, 222.9);--quarto-scss-export-card-title-color: ;--quarto-scss-export-card-subtitle-color: ;--quarto-scss-export-card-border-color: rgba(0, 0, 0, 0.175);--quarto-scss-export-card-box-shadow: ;--quarto-scss-export-card-cap-bg: rgba(33, 37, 41, 0.03);--quarto-scss-export-card-cap-color: ;--quarto-scss-export-card-height: ;--quarto-scss-export-card-color: ;--quarto-scss-export-card-bg: #ffffff;--quarto-scss-export-accordion-color: #212529;--quarto-scss-export-accordion-bg: #ffffff;--quarto-scss-export-accordion-border-color: rgb(221.7, 222.3, 222.9);--quarto-scss-export-accordion-button-color: #212529;--quarto-scss-export-accordion-button-bg: #ffffff;--quarto-scss-export-accordion-button-active-bg: rgb(206.6, 226, 254.6);--quarto-scss-export-accordion-button-active-color: rgb(5.2, 44, 101.2);--quarto-scss-export-accordion-button-focus-border-color: rgb(134, 182.5, 254);--quarto-scss-export-accordion-icon-color: #212529;--quarto-scss-export-accordion-icon-active-color: rgb(5.2, 44, 101.2);--quarto-scss-export-tooltip-color: #ffffff;--quarto-scss-export-tooltip-bg: #000;--quarto-scss-export-tooltip-margin: ;--quarto-scss-export-tooltip-arrow-color: ;--quarto-scss-export-form-feedback-tooltip-line-height: ;--quarto-scss-export-popover-border-color: rgba(0, 0, 0, 0.175);--quarto-scss-export-popover-header-bg: #e9ecef;--quarto-scss-export-popover-body-color: #212529;--quarto-scss-export-popover-arrow-color: #ffffff;--quarto-scss-export-popover-arrow-outer-color: rgba(0, 0, 0, 0.175);--quarto-scss-export-toast-color: ;--quarto-scss-export-toast-background-color: rgba(255, 255, 255, 0.85);--quarto-scss-export-toast-border-color: rgba(0, 0, 0, 0.175);--quarto-scss-export-toast-header-color: rgba(33, 37, 41, 0.75);--quarto-scss-export-toast-header-background-color: rgba(255, 255, 255, 0.85);--quarto-scss-export-toast-header-border-color: rgba(0, 0, 0, 0.175);--quarto-scss-export-badge-color: #ffffff;--quarto-scss-export-modal-content-color: ;--quarto-scss-export-modal-content-bg: #ffffff;--quarto-scss-export-modal-content-border-color: rgba(0, 0, 0, 0.175);--quarto-scss-export-modal-backdrop-bg: #000;--quarto-scss-export-modal-header-border-color: rgb(221.7, 222.3, 222.9);--quarto-scss-export-modal-footer-bg: ;--quarto-scss-export-modal-footer-border-color: rgb(221.7, 222.3, 222.9);--quarto-scss-export-progress-bg: #e9ecef;--quarto-scss-export-progress-bar-color: #ffffff;--quarto-scss-export-progress-bar-bg: #0d6efd;--quarto-scss-export-list-group-color: #212529;--quarto-scss-export-list-group-bg: #ffffff;--quarto-scss-export-list-group-border-color: rgb(221.7, 222.3, 222.9);--quarto-scss-export-list-group-hover-bg: #f8f9fa;--quarto-scss-export-list-group-active-bg: #0d6efd;--quarto-scss-export-list-group-active-color: #ffffff;--quarto-scss-export-list-group-active-border-color: #0d6efd;--quarto-scss-export-list-group-disabled-color: rgba(33, 37, 41, 0.75);--quarto-scss-export-list-group-disabled-bg: #ffffff;--quarto-scss-export-list-group-action-color: rgba(33, 37, 41, 0.75);--quarto-scss-export-list-group-action-hover-color: #000;--quarto-scss-export-list-group-action-active-color: #212529;--quarto-scss-export-list-group-action-active-bg: #e9ecef;--quarto-scss-export-thumbnail-bg: #ffffff;--quarto-scss-export-thumbnail-border-color: rgb(221.7, 222.3, 222.9);--quarto-scss-export-figure-caption-color: rgba(33, 37, 41, 0.75);--quarto-scss-export-breadcrumb-font-size: ;--quarto-scss-export-breadcrumb-bg: ;--quarto-scss-export-breadcrumb-divider-color: rgba(33, 37, 41, 0.75);--quarto-scss-export-breadcrumb-active-color: rgba(33, 37, 41, 0.75);--quarto-scss-export-breadcrumb-border-radius: ;--quarto-scss-export-carousel-control-color: #ffffff;--quarto-scss-export-carousel-indicator-active-bg: #ffffff;--quarto-scss-export-carousel-caption-color: #ffffff;--quarto-scss-export-carousel-dark-indicator-active-bg: #000;--quarto-scss-export-carousel-dark-caption-color: #000;--quarto-scss-export-btn-close-color: #000;--quarto-scss-export-offcanvas-border-color: rgba(0, 0, 0, 0.175);--quarto-scss-export-offcanvas-bg-color: #ffffff;--quarto-scss-export-offcanvas-color: #212529;--quarto-scss-export-offcanvas-backdrop-bg: #000;--quarto-scss-export-code-color-dark: white;--quarto-scss-export-kbd-color: #ffffff;--quarto-scss-export-kbd-bg: #212529;--quarto-scss-export-nested-kbd-font-weight: ;--quarto-scss-export-pre-bg: #f8f9fa;--quarto-scss-export-pre-color: #000;--quarto-scss-export-bslib-page-sidebar-title-bg: #517699;--quarto-scss-export-bslib-page-sidebar-title-color: #ffffff;--quarto-scss-export-bslib-sidebar-bg: rgba(var(--bs-emphasis-color-rgb, 0, 0, 0), 0.05);--quarto-scss-export-bslib-sidebar-toggle-bg: rgba(var(--bs-emphasis-color-rgb, 0, 0, 0), 0.1);--quarto-scss-export-mermaid-bg-color: #ffffff;--quarto-scss-export-mermaid-edge-color: #6c757d;--quarto-scss-export-mermaid-node-fg-color: #212529;--quarto-scss-export-mermaid-fg-color: 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H{constructor(t){super(),this._config=this._getConfig(t),this._isAppended=!1,this._element=null}static get Default(){return Xi}static get DefaultType(){return Yi}static get NAME(){return Vi}show(t){if(!this._config.isVisible)return void g(t);this._append();const e=this._getElement();this._config.isAnimated&&d(e),e.classList.add(Ki),this._emulateAnimation((()=>{g(t)}))}hide(t){this._config.isVisible?(this._getElement().classList.remove(Ki),this._emulateAnimation((()=>{this.dispose(),g(t)}))):g(t)}dispose(){this._isAppended&&(N.off(this._element,Qi),this._element.remove(),this._isAppended=!1)}_getElement(){if(!this._element){const t=document.createElement("div");t.className=this._config.className,this._config.isAnimated&&t.classList.add("fade"),this._element=t}return this._element}_configAfterMerge(t){return t.rootElement=r(t.rootElement),t}_append(){if(this._isAppended)return;const t=this._getElement();this._config.rootElement.append(t),N.on(t,Qi,(()=>{g(this._config.clickCallback)})),this._isAppended=!0}_emulateAnimation(t){_(t,this._getElement(),this._config.isAnimated)}}const Gi=".bs.focustrap",Ji=`focusin${Gi}`,Zi=`keydown.tab${Gi}`,tn="backward",en={autofocus:!0,trapElement:null},nn={autofocus:"boolean",trapElement:"element"};class sn extends H{constructor(t){super(),this._config=this._getConfig(t),this._isActive=!1,this._lastTabNavDirection=null}static get Default(){return en}static get DefaultType(){return nn}static get NAME(){return"focustrap"}activate(){this._isActive||(this._config.autofocus&&this._config.trapElement.focus(),N.off(document,Gi),N.on(document,Ji,(t=>this._handleFocusin(t))),N.on(document,Zi,(t=>this._handleKeydown(t))),this._isActive=!0)}deactivate(){this._isActive&&(this._isActive=!1,N.off(document,Gi))}_handleFocusin(t){const{trapElement:e}=this._config;if(t.target===document||t.target===e||e.contains(t.target))return;const i=z.focusableChildren(e);0===i.length?e.focus():this._lastTabNavDirection===tn?i[i.length-1].focus():i[0].focus()}_handleKeydown(t){"Tab"===t.key&&(this._lastTabNavDirection=t.shiftKey?tn:"forward")}}const on=".fixed-top, .fixed-bottom, .is-fixed, .sticky-top",rn=".sticky-top",an="padding-right",ln="margin-right";class cn{constructor(){this._element=document.body}getWidth(){const t=document.documentElement.clientWidth;return Math.abs(window.innerWidth-t)}hide(){const t=this.getWidth();this._disableOverFlow(),this._setElementAttributes(this._element,an,(e=>e+t)),this._setElementAttributes(on,an,(e=>e+t)),this._setElementAttributes(rn,ln,(e=>e-t))}reset(){this._resetElementAttributes(this._element,"overflow"),this._resetElementAttributes(this._element,an),this._resetElementAttributes(on,an),this._resetElementAttributes(rn,ln)}isOverflowing(){return this.getWidth()>0}_disableOverFlow(){this._saveInitialAttribute(this._element,"overflow"),this._element.style.overflow="hidden"}_setElementAttributes(t,e,i){const n=this.getWidth();this._applyManipulationCallback(t,(t=>{if(t!==this._element&&window.innerWidth>t.clientWidth+n)return;this._saveInitialAttribute(t,e);const s=window.getComputedStyle(t).getPropertyValue(e);t.style.setProperty(e,`${i(Number.parseFloat(s))}px`)}))}_saveInitialAttribute(t,e){const i=t.style.getPropertyValue(e);i&&F.setDataAttribute(t,e,i)}_resetElementAttributes(t,e){this._applyManipulationCallback(t,(t=>{const i=F.getDataAttribute(t,e);null!==i?(F.removeDataAttribute(t,e),t.style.setProperty(e,i)):t.style.removeProperty(e)}))}_applyManipulationCallback(t,e){if(o(t))e(t);else for(const i of z.find(t,this._element))e(i)}}const hn=".bs.modal",dn=`hide${hn}`,un=`hidePrevented${hn}`,fn=`hidden${hn}`,pn=`show${hn}`,mn=`shown${hn}`,gn=`resize${hn}`,_n=`click.dismiss${hn}`,bn=`mousedown.dismiss${hn}`,vn=`keydown.dismiss${hn}`,yn=`click${hn}.data-api`,wn="modal-open",An="show",En="modal-static",Tn={backdrop:!0,focus:!0,keyboard:!0},Cn={backdrop:"(boolean|string)",focus:"boolean",keyboard:"boolean"};class On extends W{constructor(t,e){super(t,e),this._dialog=z.findOne(".modal-dialog",this._element),this._backdrop=this._initializeBackDrop(),this._focustrap=this._initializeFocusTrap(),this._isShown=!1,this._isTransitioning=!1,this._scrollBar=new cn,this._addEventListeners()}static get Default(){return Tn}static get DefaultType(){return Cn}static get NAME(){return"modal"}toggle(t){return this._isShown?this.hide():this.show(t)}show(t){this._isShown||this._isTransitioning||N.trigger(this._element,pn,{relatedTarget:t}).defaultPrevented||(this._isShown=!0,this._isTransitioning=!0,this._scrollBar.hide(),document.body.classList.add(wn),this._adjustDialog(),this._backdrop.show((()=>this._showElement(t))))}hide(){this._isShown&&!this._isTransitioning&&(N.trigger(this._element,dn).defaultPrevented||(this._isShown=!1,this._isTransitioning=!0,this._focustrap.deactivate(),this._element.classList.remove(An),this._queueCallback((()=>this._hideModal()),this._element,this._isAnimated())))}dispose(){N.off(window,hn),N.off(this._dialog,hn),this._backdrop.dispose(),this._focustrap.deactivate(),super.dispose()}handleUpdate(){this._adjustDialog()}_initializeBackDrop(){return new Ui({isVisible:Boolean(this._config.backdrop),isAnimated:this._isAnimated()})}_initializeFocusTrap(){return new sn({trapElement:this._element})}_showElement(t){document.body.contains(this._element)||document.body.append(this._element),this._element.style.display="block",this._element.removeAttribute("aria-hidden"),this._element.setAttribute("aria-modal",!0),this._element.setAttribute("role","dialog"),this._element.scrollTop=0;const e=z.findOne(".modal-body",this._dialog);e&&(e.scrollTop=0),d(this._element),this._element.classList.add(An),this._queueCallback((()=>{this._config.focus&&this._focustrap.activate(),this._isTransitioning=!1,N.trigger(this._element,mn,{relatedTarget:t})}),this._dialog,this._isAnimated())}_addEventListeners(){N.on(this._element,vn,(t=>{"Escape"===t.key&&(this._config.keyboard?this.hide():this._triggerBackdropTransition())})),N.on(window,gn,(()=>{this._isShown&&!this._isTransitioning&&this._adjustDialog()})),N.on(this._element,bn,(t=>{N.one(this._element,_n,(e=>{this._element===t.target&&this._element===e.target&&("static"!==this._config.backdrop?this._config.backdrop&&this.hide():this._triggerBackdropTransition())}))}))}_hideModal(){this._element.style.display="none",this._element.setAttribute("aria-hidden",!0),this._element.removeAttribute("aria-modal"),this._element.removeAttribute("role"),this._isTransitioning=!1,this._backdrop.hide((()=>{document.body.classList.remove(wn),this._resetAdjustments(),this._scrollBar.reset(),N.trigger(this._element,fn)}))}_isAnimated(){return this._element.classList.contains("fade")}_triggerBackdropTransition(){if(N.trigger(this._element,un).defaultPrevented)return;const t=this._element.scrollHeight>document.documentElement.clientHeight,e=this._element.style.overflowY;"hidden"===e||this._element.classList.contains(En)||(t||(this._element.style.overflowY="hidden"),this._element.classList.add(En),this._queueCallback((()=>{this._element.classList.remove(En),this._queueCallback((()=>{this._element.style.overflowY=e}),this._dialog)}),this._dialog),this._element.focus())}_adjustDialog(){const t=this._element.scrollHeight>document.documentElement.clientHeight,e=this._scrollBar.getWidth(),i=e>0;if(i&&!t){const t=p()?"paddingLeft":"paddingRight";this._element.style[t]=`${e}px`}if(!i&&t){const t=p()?"paddingRight":"paddingLeft";this._element.style[t]=`${e}px`}}_resetAdjustments(){this._element.style.paddingLeft="",this._element.style.paddingRight=""}static jQueryInterface(t,e){return this.each((function(){const i=On.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===i[t])throw new TypeError(`No method named "${t}"`);i[t](e)}}))}}N.on(document,yn,'[data-bs-toggle="modal"]',(function(t){const e=z.getElementFromSelector(this);["A","AREA"].includes(this.tagName)&&t.preventDefault(),N.one(e,pn,(t=>{t.defaultPrevented||N.one(e,fn,(()=>{a(this)&&this.focus()}))}));const i=z.findOne(".modal.show");i&&On.getInstance(i).hide(),On.getOrCreateInstance(e).toggle(this)})),R(On),m(On);const xn=".bs.offcanvas",kn=".data-api",Ln=`load${xn}${kn}`,Sn="show",Dn="showing",$n="hiding",In=".offcanvas.show",Nn=`show${xn}`,Pn=`shown${xn}`,Mn=`hide${xn}`,jn=`hidePrevented${xn}`,Fn=`hidden${xn}`,Hn=`resize${xn}`,Wn=`click${xn}${kn}`,Bn=`keydown.dismiss${xn}`,zn={backdrop:!0,keyboard:!0,scroll:!1},Rn={backdrop:"(boolean|string)",keyboard:"boolean",scroll:"boolean"};class qn extends W{constructor(t,e){super(t,e),this._isShown=!1,this._backdrop=this._initializeBackDrop(),this._focustrap=this._initializeFocusTrap(),this._addEventListeners()}static get Default(){return zn}static get DefaultType(){return Rn}static get NAME(){return"offcanvas"}toggle(t){return this._isShown?this.hide():this.show(t)}show(t){this._isShown||N.trigger(this._element,Nn,{relatedTarget:t}).defaultPrevented||(this._isShown=!0,this._backdrop.show(),this._config.scroll||(new cn).hide(),this._element.setAttribute("aria-modal",!0),this._element.setAttribute("role","dialog"),this._element.classList.add(Dn),this._queueCallback((()=>{this._config.scroll&&!this._config.backdrop||this._focustrap.activate(),this._element.classList.add(Sn),this._element.classList.remove(Dn),N.trigger(this._element,Pn,{relatedTarget:t})}),this._element,!0))}hide(){this._isShown&&(N.trigger(this._element,Mn).defaultPrevented||(this._focustrap.deactivate(),this._element.blur(),this._isShown=!1,this._element.classList.add($n),this._backdrop.hide(),this._queueCallback((()=>{this._element.classList.remove(Sn,$n),this._element.removeAttribute("aria-modal"),this._element.removeAttribute("role"),this._config.scroll||(new cn).reset(),N.trigger(this._element,Fn)}),this._element,!0)))}dispose(){this._backdrop.dispose(),this._focustrap.deactivate(),super.dispose()}_initializeBackDrop(){const t=Boolean(this._config.backdrop);return new Ui({className:"offcanvas-backdrop",isVisible:t,isAnimated:!0,rootElement:this._element.parentNode,clickCallback:t?()=>{"static"!==this._config.backdrop?this.hide():N.trigger(this._element,jn)}:null})}_initializeFocusTrap(){return new sn({trapElement:this._element})}_addEventListeners(){N.on(this._element,Bn,(t=>{"Escape"===t.key&&(this._config.keyboard?this.hide():N.trigger(this._element,jn))}))}static jQueryInterface(t){return this.each((function(){const e=qn.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===e[t]||t.startsWith("_")||"constructor"===t)throw new TypeError(`No method named "${t}"`);e[t](this)}}))}}N.on(document,Wn,'[data-bs-toggle="offcanvas"]',(function(t){const e=z.getElementFromSelector(this);if(["A","AREA"].includes(this.tagName)&&t.preventDefault(),l(this))return;N.one(e,Fn,(()=>{a(this)&&this.focus()}));const i=z.findOne(In);i&&i!==e&&qn.getInstance(i).hide(),qn.getOrCreateInstance(e).toggle(this)})),N.on(window,Ln,(()=>{for(const t of z.find(In))qn.getOrCreateInstance(t).show()})),N.on(window,Hn,(()=>{for(const t of z.find("[aria-modal][class*=show][class*=offcanvas-]"))"fixed"!==getComputedStyle(t).position&&qn.getOrCreateInstance(t).hide()})),R(qn),m(qn);const Vn={"*":["class","dir","id","lang","role",/^aria-[\w-]*$/i],a:["target","href","title","rel"],area:[],b:[],br:[],col:[],code:[],div:[],em:[],hr:[],h1:[],h2:[],h3:[],h4:[],h5:[],h6:[],i:[],img:["src","srcset","alt","title","width","height"],li:[],ol:[],p:[],pre:[],s:[],small:[],span:[],sub:[],sup:[],strong:[],u:[],ul:[]},Kn=new Set(["background","cite","href","itemtype","longdesc","poster","src","xlink:href"]),Qn=/^(?!javascript:)(?:[a-z0-9+.-]+:|[^&:/?#]*(?:[/?#]|$))/i,Xn=(t,e)=>{const i=t.nodeName.toLowerCase();return e.includes(i)?!Kn.has(i)||Boolean(Qn.test(t.nodeValue)):e.filter((t=>t instanceof RegExp)).some((t=>t.test(i)))},Yn={allowList:Vn,content:{},extraClass:"",html:!1,sanitize:!0,sanitizeFn:null,template:"
"},Un={allowList:"object",content:"object",extraClass:"(string|function)",html:"boolean",sanitize:"boolean",sanitizeFn:"(null|function)",template:"string"},Gn={entry:"(string|element|function|null)",selector:"(string|element)"};class Jn extends H{constructor(t){super(),this._config=this._getConfig(t)}static get Default(){return Yn}static get DefaultType(){return Un}static get NAME(){return"TemplateFactory"}getContent(){return Object.values(this._config.content).map((t=>this._resolvePossibleFunction(t))).filter(Boolean)}hasContent(){return this.getContent().length>0}changeContent(t){return this._checkContent(t),this._config.content={...this._config.content,...t},this}toHtml(){const t=document.createElement("div");t.innerHTML=this._maybeSanitize(this._config.template);for(const[e,i]of Object.entries(this._config.content))this._setContent(t,i,e);const e=t.children[0],i=this._resolvePossibleFunction(this._config.extraClass);return i&&e.classList.add(...i.split(" ")),e}_typeCheckConfig(t){super._typeCheckConfig(t),this._checkContent(t.content)}_checkContent(t){for(const[e,i]of Object.entries(t))super._typeCheckConfig({selector:e,entry:i},Gn)}_setContent(t,e,i){const n=z.findOne(i,t);n&&((e=this._resolvePossibleFunction(e))?o(e)?this._putElementInTemplate(r(e),n):this._config.html?n.innerHTML=this._maybeSanitize(e):n.textContent=e:n.remove())}_maybeSanitize(t){return this._config.sanitize?function(t,e,i){if(!t.length)return t;if(i&&"function"==typeof i)return i(t);const n=(new window.DOMParser).parseFromString(t,"text/html"),s=[].concat(...n.body.querySelectorAll("*"));for(const t of s){const i=t.nodeName.toLowerCase();if(!Object.keys(e).includes(i)){t.remove();continue}const n=[].concat(...t.attributes),s=[].concat(e["*"]||[],e[i]||[]);for(const e of n)Xn(e,s)||t.removeAttribute(e.nodeName)}return n.body.innerHTML}(t,this._config.allowList,this._config.sanitizeFn):t}_resolvePossibleFunction(t){return g(t,[this])}_putElementInTemplate(t,e){if(this._config.html)return e.innerHTML="",void e.append(t);e.textContent=t.textContent}}const Zn=new Set(["sanitize","allowList","sanitizeFn"]),ts="fade",es="show",is=".modal",ns="hide.bs.modal",ss="hover",os="focus",rs={AUTO:"auto",TOP:"top",RIGHT:p()?"left":"right",BOTTOM:"bottom",LEFT:p()?"right":"left"},as={allowList:Vn,animation:!0,boundary:"clippingParents",container:!1,customClass:"",delay:0,fallbackPlacements:["top","right","bottom","left"],html:!1,offset:[0,6],placement:"top",popperConfig:null,sanitize:!0,sanitizeFn:null,selector:!1,template:'',title:"",trigger:"hover focus"},ls={allowList:"object",animation:"boolean",boundary:"(string|element)",container:"(string|element|boolean)",customClass:"(string|function)",delay:"(number|object)",fallbackPlacements:"array",html:"boolean",offset:"(array|string|function)",placement:"(string|function)",popperConfig:"(null|object|function)",sanitize:"boolean",sanitizeFn:"(null|function)",selector:"(string|boolean)",template:"string",title:"(string|element|function)",trigger:"string"};class cs extends W{constructor(t,e){if(void 0===vi)throw new TypeError("Bootstrap's tooltips require Popper (https://popper.js.org)");super(t,e),this._isEnabled=!0,this._timeout=0,this._isHovered=null,this._activeTrigger={},this._popper=null,this._templateFactory=null,this._newContent=null,this.tip=null,this._setListeners(),this._config.selector||this._fixTitle()}static get Default(){return as}static get DefaultType(){return ls}static get NAME(){return"tooltip"}enable(){this._isEnabled=!0}disable(){this._isEnabled=!1}toggleEnabled(){this._isEnabled=!this._isEnabled}toggle(){this._isEnabled&&(this._activeTrigger.click=!this._activeTrigger.click,this._isShown()?this._leave():this._enter())}dispose(){clearTimeout(this._timeout),N.off(this._element.closest(is),ns,this._hideModalHandler),this._element.getAttribute("data-bs-original-title")&&this._element.setAttribute("title",this._element.getAttribute("data-bs-original-title")),this._disposePopper(),super.dispose()}show(){if("none"===this._element.style.display)throw new Error("Please use show on visible elements");if(!this._isWithContent()||!this._isEnabled)return;const t=N.trigger(this._element,this.constructor.eventName("show")),e=(c(this._element)||this._element.ownerDocument.documentElement).contains(this._element);if(t.defaultPrevented||!e)return;this._disposePopper();const i=this._getTipElement();this._element.setAttribute("aria-describedby",i.getAttribute("id"));const{container:n}=this._config;if(this._element.ownerDocument.documentElement.contains(this.tip)||(n.append(i),N.trigger(this._element,this.constructor.eventName("inserted"))),this._popper=this._createPopper(i),i.classList.add(es),"ontouchstart"in document.documentElement)for(const t of[].concat(...document.body.children))N.on(t,"mouseover",h);this._queueCallback((()=>{N.trigger(this._element,this.constructor.eventName("shown")),!1===this._isHovered&&this._leave(),this._isHovered=!1}),this.tip,this._isAnimated())}hide(){if(this._isShown()&&!N.trigger(this._element,this.constructor.eventName("hide")).defaultPrevented){if(this._getTipElement().classList.remove(es),"ontouchstart"in document.documentElement)for(const t of[].concat(...document.body.children))N.off(t,"mouseover",h);this._activeTrigger.click=!1,this._activeTrigger[os]=!1,this._activeTrigger[ss]=!1,this._isHovered=null,this._queueCallback((()=>{this._isWithActiveTrigger()||(this._isHovered||this._disposePopper(),this._element.removeAttribute("aria-describedby"),N.trigger(this._element,this.constructor.eventName("hidden")))}),this.tip,this._isAnimated())}}update(){this._popper&&this._popper.update()}_isWithContent(){return Boolean(this._getTitle())}_getTipElement(){return this.tip||(this.tip=this._createTipElement(this._newContent||this._getContentForTemplate())),this.tip}_createTipElement(t){const e=this._getTemplateFactory(t).toHtml();if(!e)return null;e.classList.remove(ts,es),e.classList.add(`bs-${this.constructor.NAME}-auto`);const i=(t=>{do{t+=Math.floor(1e6*Math.random())}while(document.getElementById(t));return t})(this.constructor.NAME).toString();return e.setAttribute("id",i),this._isAnimated()&&e.classList.add(ts),e}setContent(t){this._newContent=t,this._isShown()&&(this._disposePopper(),this.show())}_getTemplateFactory(t){return this._templateFactory?this._templateFactory.changeContent(t):this._templateFactory=new Jn({...this._config,content:t,extraClass:this._resolvePossibleFunction(this._config.customClass)}),this._templateFactory}_getContentForTemplate(){return{".tooltip-inner":this._getTitle()}}_getTitle(){return this._resolvePossibleFunction(this._config.title)||this._element.getAttribute("data-bs-original-title")}_initializeOnDelegatedTarget(t){return this.constructor.getOrCreateInstance(t.delegateTarget,this._getDelegateConfig())}_isAnimated(){return this._config.animation||this.tip&&this.tip.classList.contains(ts)}_isShown(){return this.tip&&this.tip.classList.contains(es)}_createPopper(t){const e=g(this._config.placement,[this,t,this._element]),i=rs[e.toUpperCase()];return bi(this._element,t,this._getPopperConfig(i))}_getOffset(){const{offset:t}=this._config;return"string"==typeof t?t.split(",").map((t=>Number.parseInt(t,10))):"function"==typeof t?e=>t(e,this._element):t}_resolvePossibleFunction(t){return g(t,[this._element])}_getPopperConfig(t){const e={placement:t,modifiers:[{name:"flip",options:{fallbackPlacements:this._config.fallbackPlacements}},{name:"offset",options:{offset:this._getOffset()}},{name:"preventOverflow",options:{boundary:this._config.boundary}},{name:"arrow",options:{element:`.${this.constructor.NAME}-arrow`}},{name:"preSetPlacement",enabled:!0,phase:"beforeMain",fn:t=>{this._getTipElement().setAttribute("data-popper-placement",t.state.placement)}}]};return{...e,...g(this._config.popperConfig,[e])}}_setListeners(){const t=this._config.trigger.split(" ");for(const e of t)if("click"===e)N.on(this._element,this.constructor.eventName("click"),this._config.selector,(t=>{this._initializeOnDelegatedTarget(t).toggle()}));else if("manual"!==e){const t=e===ss?this.constructor.eventName("mouseenter"):this.constructor.eventName("focusin"),i=e===ss?this.constructor.eventName("mouseleave"):this.constructor.eventName("focusout");N.on(this._element,t,this._config.selector,(t=>{const e=this._initializeOnDelegatedTarget(t);e._activeTrigger["focusin"===t.type?os:ss]=!0,e._enter()})),N.on(this._element,i,this._config.selector,(t=>{const e=this._initializeOnDelegatedTarget(t);e._activeTrigger["focusout"===t.type?os:ss]=e._element.contains(t.relatedTarget),e._leave()}))}this._hideModalHandler=()=>{this._element&&this.hide()},N.on(this._element.closest(is),ns,this._hideModalHandler)}_fixTitle(){const t=this._element.getAttribute("title");t&&(this._element.getAttribute("aria-label")||this._element.textContent.trim()||this._element.setAttribute("aria-label",t),this._element.setAttribute("data-bs-original-title",t),this._element.removeAttribute("title"))}_enter(){this._isShown()||this._isHovered?this._isHovered=!0:(this._isHovered=!0,this._setTimeout((()=>{this._isHovered&&this.show()}),this._config.delay.show))}_leave(){this._isWithActiveTrigger()||(this._isHovered=!1,this._setTimeout((()=>{this._isHovered||this.hide()}),this._config.delay.hide))}_setTimeout(t,e){clearTimeout(this._timeout),this._timeout=setTimeout(t,e)}_isWithActiveTrigger(){return Object.values(this._activeTrigger).includes(!0)}_getConfig(t){const e=F.getDataAttributes(this._element);for(const t of Object.keys(e))Zn.has(t)&&delete e[t];return t={...e,..."object"==typeof t&&t?t:{}},t=this._mergeConfigObj(t),t=this._configAfterMerge(t),this._typeCheckConfig(t),t}_configAfterMerge(t){return t.container=!1===t.container?document.body:r(t.container),"number"==typeof t.delay&&(t.delay={show:t.delay,hide:t.delay}),"number"==typeof t.title&&(t.title=t.title.toString()),"number"==typeof t.content&&(t.content=t.content.toString()),t}_getDelegateConfig(){const t={};for(const[e,i]of Object.entries(this._config))this.constructor.Default[e]!==i&&(t[e]=i);return t.selector=!1,t.trigger="manual",t}_disposePopper(){this._popper&&(this._popper.destroy(),this._popper=null),this.tip&&(this.tip.remove(),this.tip=null)}static jQueryInterface(t){return this.each((function(){const e=cs.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===e[t])throw new TypeError(`No method named "${t}"`);e[t]()}}))}}m(cs);const hs={...cs.Default,content:"",offset:[0,8],placement:"right",template:'',trigger:"click"},ds={...cs.DefaultType,content:"(null|string|element|function)"};class us extends cs{static get Default(){return hs}static get DefaultType(){return ds}static get NAME(){return"popover"}_isWithContent(){return this._getTitle()||this._getContent()}_getContentForTemplate(){return{".popover-header":this._getTitle(),".popover-body":this._getContent()}}_getContent(){return this._resolvePossibleFunction(this._config.content)}static jQueryInterface(t){return this.each((function(){const e=us.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===e[t])throw new TypeError(`No method named "${t}"`);e[t]()}}))}}m(us);const fs=".bs.scrollspy",ps=`activate${fs}`,ms=`click${fs}`,gs=`load${fs}.data-api`,_s="active",bs="[href]",vs=".nav-link",ys=`${vs}, .nav-item > ${vs}, .list-group-item`,ws={offset:null,rootMargin:"0px 0px -25%",smoothScroll:!1,target:null,threshold:[.1,.5,1]},As={offset:"(number|null)",rootMargin:"string",smoothScroll:"boolean",target:"element",threshold:"array"};class Es extends W{constructor(t,e){super(t,e),this._targetLinks=new Map,this._observableSections=new Map,this._rootElement="visible"===getComputedStyle(this._element).overflowY?null:this._element,this._activeTarget=null,this._observer=null,this._previousScrollData={visibleEntryTop:0,parentScrollTop:0},this.refresh()}static get Default(){return ws}static get DefaultType(){return As}static get NAME(){return"scrollspy"}refresh(){this._initializeTargetsAndObservables(),this._maybeEnableSmoothScroll(),this._observer?this._observer.disconnect():this._observer=this._getNewObserver();for(const t of this._observableSections.values())this._observer.observe(t)}dispose(){this._observer.disconnect(),super.dispose()}_configAfterMerge(t){return t.target=r(t.target)||document.body,t.rootMargin=t.offset?`${t.offset}px 0px -30%`:t.rootMargin,"string"==typeof t.threshold&&(t.threshold=t.threshold.split(",").map((t=>Number.parseFloat(t)))),t}_maybeEnableSmoothScroll(){this._config.smoothScroll&&(N.off(this._config.target,ms),N.on(this._config.target,ms,bs,(t=>{const 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b/README_files/libs/quarto-html/quarto-syntax-highlighting-0815c480559380816a4d1ea211a47e91.css new file mode 100644 index 0000000000000000000000000000000000000000..ae706810c53cc6f0a78f10a3f56a7a5b9622f941 --- /dev/null +++ b/README_files/libs/quarto-html/quarto-syntax-highlighting-0815c480559380816a4d1ea211a47e91.css @@ -0,0 +1,236 @@ +/* quarto syntax highlight colors */ +:root { + --quarto-hl-ot-color: #003B4F; + --quarto-hl-at-color: #657422; + --quarto-hl-ss-color: #20794D; + --quarto-hl-an-color: #5E5E5E; + --quarto-hl-fu-color: #4758AB; + --quarto-hl-st-color: #20794D; + --quarto-hl-cf-color: #003B4F; + --quarto-hl-op-color: #5E5E5E; + --quarto-hl-er-color: #AD0000; + --quarto-hl-bn-color: #AD0000; + --quarto-hl-al-color: #AD0000; + --quarto-hl-va-color: #111111; + --quarto-hl-bu-color: inherit; + --quarto-hl-ex-color: inherit; + --quarto-hl-pp-color: #AD0000; + --quarto-hl-in-color: #5E5E5E; + --quarto-hl-vs-color: #20794D; + --quarto-hl-wa-color: #5E5E5E; + --quarto-hl-do-color: #5E5E5E; + --quarto-hl-im-color: #00769E; + --quarto-hl-ch-color: #20794D; + --quarto-hl-dt-color: #AD0000; + --quarto-hl-fl-color: #AD0000; + --quarto-hl-co-color: #5E5E5E; + --quarto-hl-cv-color: #5E5E5E; + --quarto-hl-cn-color: #8f5902; + --quarto-hl-sc-color: #5E5E5E; + --quarto-hl-dv-color: #AD0000; + --quarto-hl-kw-color: #003B4F; +} + +/* other quarto variables */ +:root { + --quarto-font-monospace: SFMono-Regular, Menlo, Monaco, Consolas, "Liberation Mono", "Courier New", monospace; +} + +/* syntax highlight based on Pandoc's rules */ +pre > code.sourceCode > span { + color: #003B4F; +} + +code.sourceCode > span { + color: #003B4F; +} + +div.sourceCode, +div.sourceCode pre.sourceCode { + color: #003B4F; +} + +/* Normal */ +code span { + color: #003B4F; +} + +/* Alert */ +code span.al { + color: #AD0000; + font-style: inherit; +} + +/* Annotation */ +code span.an { + color: #5E5E5E; + font-style: inherit; +} + +/* Attribute */ +code span.at { + color: #657422; + font-style: inherit; +} + +/* BaseN */ +code span.bn { + color: #AD0000; + font-style: inherit; +} + +/* BuiltIn */ +code span.bu { + font-style: inherit; +} + +/* ControlFlow */ +code span.cf { + color: #003B4F; + font-weight: bold; + font-style: inherit; +} + +/* Char */ +code span.ch { + color: #20794D; + font-style: inherit; +} + +/* Constant */ +code span.cn { + color: #8f5902; + font-style: inherit; +} + +/* Comment */ +code span.co { + color: #5E5E5E; + font-style: inherit; +} + +/* CommentVar */ +code span.cv { + color: #5E5E5E; + font-style: italic; +} + +/* Documentation */ +code span.do { + color: #5E5E5E; + font-style: italic; +} + +/* DataType */ +code span.dt { + color: #AD0000; + font-style: inherit; +} + +/* DecVal */ +code span.dv { + color: #AD0000; + font-style: inherit; +} + +/* Error */ +code span.er { + color: #AD0000; + font-style: inherit; +} + +/* Extension */ +code span.ex { + font-style: inherit; +} + +/* Float */ +code span.fl { + color: #AD0000; + font-style: inherit; +} + +/* Function */ +code span.fu { + color: #4758AB; + font-style: inherit; +} + +/* Import */ +code span.im { + color: #00769E; + font-style: inherit; +} + +/* Information */ +code span.in { + color: #5E5E5E; + font-style: inherit; +} + +/* Keyword */ +code span.kw { + color: #003B4F; + font-weight: bold; + font-style: inherit; +} + +/* Operator */ +code span.op { + color: #5E5E5E; + font-style: inherit; +} + +/* Other */ +code span.ot { + color: #003B4F; + font-style: inherit; +} + +/* Preprocessor */ +code span.pp { + color: #AD0000; + font-style: inherit; +} + +/* SpecialChar */ +code span.sc { + color: #5E5E5E; + font-style: inherit; +} + +/* SpecialString */ +code span.ss { + color: #20794D; + font-style: inherit; +} + +/* String */ +code span.st { + color: #20794D; + font-style: inherit; +} + +/* Variable */ +code span.va { + color: #111111; + font-style: inherit; +} + +/* VerbatimString */ +code span.vs { + color: #20794D; + font-style: inherit; +} + +/* Warning */ +code span.wa { + color: #5E5E5E; + font-style: italic; +} + +.prevent-inlining { + content: " { + // Find any conflicting margin elements and add margins to the + // top to prevent overlap + const marginChildren = window.document.querySelectorAll( + ".column-margin.column-container > *, .margin-caption, .aside" + ); + + let lastBottom = 0; + for (const marginChild of marginChildren) { + if (marginChild.offsetParent !== null) { + // clear the top margin so we recompute it + marginChild.style.marginTop = null; + const top = marginChild.getBoundingClientRect().top + window.scrollY; + if (top < lastBottom) { + const marginChildStyle = window.getComputedStyle(marginChild); + const marginBottom = parseFloat(marginChildStyle["marginBottom"]); + const margin = lastBottom - top + marginBottom; + marginChild.style.marginTop = `${margin}px`; + } + const styles = window.getComputedStyle(marginChild); + const marginTop = parseFloat(styles["marginTop"]); + lastBottom = top + marginChild.getBoundingClientRect().height + marginTop; + } + } +}; + +window.document.addEventListener("DOMContentLoaded", function (_event) { + // Recompute the position of margin elements anytime the body size changes + if (window.ResizeObserver) { + const resizeObserver = new window.ResizeObserver( + throttle(() => { + layoutMarginEls(); + if ( + window.document.body.getBoundingClientRect().width < 990 && + isReaderMode() + ) { + quartoToggleReader(); + } + }, 50) + ); + resizeObserver.observe(window.document.body); + } + + const tocEl = window.document.querySelector('nav.toc-active[role="doc-toc"]'); + const sidebarEl = window.document.getElementById("quarto-sidebar"); + const leftTocEl = window.document.getElementById("quarto-sidebar-toc-left"); + const marginSidebarEl = window.document.getElementById( + "quarto-margin-sidebar" + ); + // function to determine whether the element has a previous sibling that is active + const prevSiblingIsActiveLink = (el) => { + const sibling = el.previousElementSibling; + if (sibling && sibling.tagName === "A") { + return sibling.classList.contains("active"); + } else { + return false; + } + }; + + // dispatch for htmlwidgets + // they use slideenter event to trigger resize + function fireSlideEnter() { + const event = window.document.createEvent("Event"); + event.initEvent("slideenter", true, true); + window.document.dispatchEvent(event); + } + + const tabs = window.document.querySelectorAll('a[data-bs-toggle="tab"]'); + tabs.forEach((tab) => { + tab.addEventListener("shown.bs.tab", fireSlideEnter); + }); + + // dispatch for shiny + // they use BS shown and hidden events to trigger rendering + function distpatchShinyEvents(previous, current) { + if (window.jQuery) { + if (previous) { + window.jQuery(previous).trigger("hidden"); + } + if (current) { + window.jQuery(current).trigger("shown"); + } + } + } + + // tabby.js listener: Trigger event for htmlwidget and shiny + document.addEventListener( + "tabby", + function (event) { + fireSlideEnter(); + distpatchShinyEvents(event.detail.previousTab, event.detail.tab); + }, + false + ); + + // Track scrolling and mark TOC links as active + // get table of contents and sidebar (bail if we don't have at least one) + const tocLinks = tocEl + ? [...tocEl.querySelectorAll("a[data-scroll-target]")] + : []; + const makeActive = (link) => tocLinks[link].classList.add("active"); + const removeActive = (link) => tocLinks[link].classList.remove("active"); + const removeAllActive = () => + [...Array(tocLinks.length).keys()].forEach((link) => removeActive(link)); + + // activate the anchor for a section associated with this TOC entry + tocLinks.forEach((link) => { + link.addEventListener("click", () => { + if (link.href.indexOf("#") !== -1) { + const anchor = link.href.split("#")[1]; + const heading = window.document.querySelector( + `[data-anchor-id="${anchor}"]` + ); + if (heading) { + // Add the class + heading.classList.add("reveal-anchorjs-link"); + + // function to show the anchor + const handleMouseout = () => { + heading.classList.remove("reveal-anchorjs-link"); + heading.removeEventListener("mouseout", handleMouseout); + }; + + // add a function to clear the anchor when the user mouses out of it + heading.addEventListener("mouseout", handleMouseout); + } + } + }); + }); + + const sections = tocLinks.map((link) => { + const target = link.getAttribute("data-scroll-target"); + if (target.startsWith("#")) { + return window.document.getElementById(decodeURI(`${target.slice(1)}`)); + } else { + return window.document.querySelector(decodeURI(`${target}`)); + } + }); + + const sectionMargin = 200; + let currentActive = 0; + // track whether we've initialized state the first time + let init = false; + + const updateActiveLink = () => { + // The index from bottom to top (e.g. reversed list) + let sectionIndex = -1; + if ( + window.innerHeight + window.pageYOffset >= + window.document.body.offsetHeight + ) { + // This is the no-scroll case where last section should be the active one + sectionIndex = 0; + } else { + // This finds the last section visible on screen that should be made active + sectionIndex = [...sections].reverse().findIndex((section) => { + if (section) { + return window.pageYOffset >= section.offsetTop - sectionMargin; + } else { + return false; + } + }); + } + if (sectionIndex > -1) { + const current = sections.length - sectionIndex - 1; + if (current !== currentActive) { + removeAllActive(); + currentActive = current; + makeActive(current); + if (init) { + window.dispatchEvent(sectionChanged); + } + init = true; + } + } + }; + + const inHiddenRegion = (top, bottom, hiddenRegions) => { + for (const region of hiddenRegions) { + if (top <= region.bottom && bottom >= region.top) { + return true; + } + } + return false; + }; + + const categorySelector = "header.quarto-title-block .quarto-category"; + const activateCategories = (href) => { + // Find any categories + // Surround them with a link pointing back to: + // #category=Authoring + try { + const categoryEls = window.document.querySelectorAll(categorySelector); + for (const categoryEl of categoryEls) { + const categoryText = categoryEl.textContent; + if (categoryText) { + const link = `${href}#category=${encodeURIComponent(categoryText)}`; + const linkEl = window.document.createElement("a"); + linkEl.setAttribute("href", link); + for (const child of categoryEl.childNodes) { + linkEl.append(child); + } + categoryEl.appendChild(linkEl); + } + } + } catch { + // Ignore errors + } + }; + function hasTitleCategories() { + return window.document.querySelector(categorySelector) !== null; + } + + function offsetRelativeUrl(url) { + const offset = getMeta("quarto:offset"); + return offset ? offset + url : url; + } + + function offsetAbsoluteUrl(url) { + const offset = getMeta("quarto:offset"); + const baseUrl = new URL(offset, window.location); + + const projRelativeUrl = url.replace(baseUrl, ""); + if (projRelativeUrl.startsWith("/")) { + return projRelativeUrl; + } else { + return "/" + projRelativeUrl; + } + } + + // read a meta tag value + function getMeta(metaName) { + const metas = window.document.getElementsByTagName("meta"); + for (let i = 0; i < metas.length; i++) { + if (metas[i].getAttribute("name") === metaName) { + return metas[i].getAttribute("content"); + } + } + return ""; + } + + async function findAndActivateCategories() { + // Categories search with listing only use path without query + const currentPagePath = offsetAbsoluteUrl( + window.location.origin + window.location.pathname + ); + const response = await fetch(offsetRelativeUrl("listings.json")); + if (response.status == 200) { + return response.json().then(function (listingPaths) { + const listingHrefs = []; + for (const listingPath of listingPaths) { + const pathWithoutLeadingSlash = listingPath.listing.substring(1); + for (const item of listingPath.items) { + const encodedItem = encodeURI(item); + if ( + encodedItem === currentPagePath || + encodedItem === currentPagePath + "index.html" + ) { + // Resolve this path against the offset to be sure + // we already are using the correct path to the listing + // (this adjusts the listing urls to be rooted against + // whatever root the page is actually running against) + const relative = offsetRelativeUrl(pathWithoutLeadingSlash); + const baseUrl = window.location; + const resolvedPath = new URL(relative, baseUrl); + listingHrefs.push(resolvedPath.pathname); + break; + } + } + } + + // Look up the tree for a nearby linting and use that if we find one + const nearestListing = findNearestParentListing( + offsetAbsoluteUrl(window.location.pathname), + listingHrefs + ); + if (nearestListing) { + activateCategories(nearestListing); + } else { + // See if the referrer is a listing page for this item + const referredRelativePath = offsetAbsoluteUrl(document.referrer); + const referrerListing = listingHrefs.find((listingHref) => { + const isListingReferrer = + listingHref === referredRelativePath || + listingHref === referredRelativePath + "index.html"; + return isListingReferrer; + }); + + if (referrerListing) { + // Try to use the referrer if possible + activateCategories(referrerListing); + } else if (listingHrefs.length > 0) { + // Otherwise, just fall back to the first listing + activateCategories(listingHrefs[0]); + } + } + }); + } + } + if (hasTitleCategories()) { + findAndActivateCategories(); + } + + const findNearestParentListing = (href, listingHrefs) => { + if (!href || !listingHrefs) { + return undefined; + } + // Look up the tree for a nearby linting and use that if we find one + const relativeParts = href.substring(1).split("/"); + while (relativeParts.length > 0) { + const path = relativeParts.join("/"); + for (const listingHref of listingHrefs) { + if (listingHref.startsWith(path)) { + return listingHref; + } + } + relativeParts.pop(); + } + + return undefined; + }; + + const manageSidebarVisiblity = (el, placeholderDescriptor) => { + let isVisible = true; + let elRect; + + return (hiddenRegions) => { + if (el === null) { + return; + } + + // Find the last element of the TOC + const lastChildEl = el.lastElementChild; + + if (lastChildEl) { + // Converts the sidebar to a menu + const convertToMenu = () => { + for (const child of el.children) { + child.style.opacity = 0; + child.style.overflow = "hidden"; + child.style.pointerEvents = "none"; + } + + nexttick(() => { + const toggleContainer = window.document.createElement("div"); + toggleContainer.style.width = "100%"; + toggleContainer.classList.add("zindex-over-content"); + toggleContainer.classList.add("quarto-sidebar-toggle"); + toggleContainer.classList.add("headroom-target"); // Marks this to be managed by headeroom + toggleContainer.id = placeholderDescriptor.id; + toggleContainer.style.position = "fixed"; + + const toggleIcon = window.document.createElement("i"); + toggleIcon.classList.add("quarto-sidebar-toggle-icon"); + toggleIcon.classList.add("bi"); + toggleIcon.classList.add("bi-caret-down-fill"); + + const toggleTitle = window.document.createElement("div"); + const titleEl = window.document.body.querySelector( + placeholderDescriptor.titleSelector + ); + if (titleEl) { + toggleTitle.append( + titleEl.textContent || titleEl.innerText, + toggleIcon + ); + } + toggleTitle.classList.add("zindex-over-content"); + toggleTitle.classList.add("quarto-sidebar-toggle-title"); + toggleContainer.append(toggleTitle); + + const toggleContents = window.document.createElement("div"); + toggleContents.classList = el.classList; + toggleContents.classList.add("zindex-over-content"); + toggleContents.classList.add("quarto-sidebar-toggle-contents"); + for (const child of el.children) { + if (child.id === "toc-title") { + continue; + } + + const clone = child.cloneNode(true); + clone.style.opacity = 1; + clone.style.pointerEvents = null; + clone.style.display = null; + toggleContents.append(clone); + } + toggleContents.style.height = "0px"; + const positionToggle = () => { + // position the element (top left of parent, same width as parent) + if (!elRect) { + elRect = el.getBoundingClientRect(); + } + toggleContainer.style.left = `${elRect.left}px`; + toggleContainer.style.top = `${elRect.top}px`; + toggleContainer.style.width = `${elRect.width}px`; + }; + positionToggle(); + + toggleContainer.append(toggleContents); + el.parentElement.prepend(toggleContainer); + + // Process clicks + let tocShowing = false; + // Allow the caller to control whether this is dismissed + // when it is clicked (e.g. sidebar navigation supports + // opening and closing the nav tree, so don't dismiss on click) + const clickEl = placeholderDescriptor.dismissOnClick + ? toggleContainer + : toggleTitle; + + const closeToggle = () => { + if (tocShowing) { + toggleContainer.classList.remove("expanded"); + toggleContents.style.height = "0px"; + tocShowing = false; + } + }; + + // Get rid of any expanded toggle if the user scrolls + window.document.addEventListener( + "scroll", + throttle(() => { + closeToggle(); + }, 50) + ); + + // Handle positioning of the toggle + window.addEventListener( + "resize", + throttle(() => { + elRect = undefined; + positionToggle(); + }, 50) + ); + + window.addEventListener("quarto-hrChanged", () => { + elRect = undefined; + }); + + // Process the click + clickEl.onclick = () => { + if (!tocShowing) { + toggleContainer.classList.add("expanded"); + toggleContents.style.height = null; + tocShowing = true; + } else { + closeToggle(); + } + }; + }); + }; + + // Converts a sidebar from a menu back to a sidebar + const convertToSidebar = () => { + for (const child of el.children) { + child.style.opacity = 1; + child.style.overflow = null; + child.style.pointerEvents = null; + } + + const placeholderEl = window.document.getElementById( + placeholderDescriptor.id + ); + if (placeholderEl) { + placeholderEl.remove(); + } + + el.classList.remove("rollup"); + }; + + if (isReaderMode()) { + convertToMenu(); + isVisible = false; + } else { + // Find the top and bottom o the element that is being managed + const elTop = el.offsetTop; + const elBottom = + elTop + lastChildEl.offsetTop + lastChildEl.offsetHeight; + + if (!isVisible) { + // If the element is current not visible reveal if there are + // no conflicts with overlay regions + if (!inHiddenRegion(elTop, elBottom, hiddenRegions)) { + convertToSidebar(); + isVisible = true; + } + } else { + // If the element is visible, hide it if it conflicts with overlay regions + // and insert a placeholder toggle (or if we're in reader mode) + if (inHiddenRegion(elTop, elBottom, hiddenRegions)) { + convertToMenu(); + isVisible = false; + } + } + } + } + }; + }; + + const tabEls = document.querySelectorAll('a[data-bs-toggle="tab"]'); + for (const tabEl of tabEls) { + const id = tabEl.getAttribute("data-bs-target"); + if (id) { + const columnEl = document.querySelector( + `${id} .column-margin, .tabset-margin-content` + ); + if (columnEl) + tabEl.addEventListener("shown.bs.tab", function (event) { + const el = event.srcElement; + if (el) { + const visibleCls = `${el.id}-margin-content`; + // walk up until we find a parent tabset + let panelTabsetEl = el.parentElement; + while (panelTabsetEl) { + if (panelTabsetEl.classList.contains("panel-tabset")) { + break; + } + panelTabsetEl = panelTabsetEl.parentElement; + } + + if (panelTabsetEl) { + const prevSib = panelTabsetEl.previousElementSibling; + if ( + prevSib && + prevSib.classList.contains("tabset-margin-container") + ) { + const childNodes = prevSib.querySelectorAll( + ".tabset-margin-content" + ); + for (const childEl of childNodes) { + if (childEl.classList.contains(visibleCls)) { + childEl.classList.remove("collapse"); + } else { + childEl.classList.add("collapse"); + } + } + } + } + } + + layoutMarginEls(); + }); + } + } + + // Manage the visibility of the toc and the sidebar + const marginScrollVisibility = manageSidebarVisiblity(marginSidebarEl, { + id: "quarto-toc-toggle", + titleSelector: "#toc-title", + dismissOnClick: true, + }); + const sidebarScrollVisiblity = manageSidebarVisiblity(sidebarEl, { + id: "quarto-sidebarnav-toggle", + titleSelector: ".title", + dismissOnClick: false, + }); + let tocLeftScrollVisibility; + if (leftTocEl) { + tocLeftScrollVisibility = manageSidebarVisiblity(leftTocEl, { + id: "quarto-lefttoc-toggle", + titleSelector: "#toc-title", + dismissOnClick: true, + }); + } + + // Find the first element that uses formatting in special columns + const conflictingEls = window.document.body.querySelectorAll( + '[class^="column-"], [class*=" column-"], aside, [class*="margin-caption"], [class*=" margin-caption"], [class*="margin-ref"], [class*=" margin-ref"]' + ); + + // Filter all the possibly conflicting elements into ones + // the do conflict on the left or ride side + const arrConflictingEls = Array.from(conflictingEls); + const leftSideConflictEls = arrConflictingEls.filter((el) => { + if (el.tagName === "ASIDE") { + return false; + } + return Array.from(el.classList).find((className) => { + return ( + className !== "column-body" && + className.startsWith("column-") && + !className.endsWith("right") && + !className.endsWith("container") && + className !== "column-margin" + ); + }); + }); + const rightSideConflictEls = arrConflictingEls.filter((el) => { + if (el.tagName === "ASIDE") { + return true; + } + + const hasMarginCaption = Array.from(el.classList).find((className) => { + return className == "margin-caption"; + }); + if (hasMarginCaption) { + return true; + } + + return Array.from(el.classList).find((className) => { + return ( + className !== "column-body" && + !className.endsWith("container") && + className.startsWith("column-") && + !className.endsWith("left") + ); + }); + }); + + const kOverlapPaddingSize = 10; + function toRegions(els) { + return els.map((el) => { + const boundRect = el.getBoundingClientRect(); + const top = + boundRect.top + + document.documentElement.scrollTop - + kOverlapPaddingSize; + return { + top, + bottom: top + el.scrollHeight + 2 * kOverlapPaddingSize, + }; + }); + } + + let hasObserved = false; + const visibleItemObserver = (els) => { + let visibleElements = [...els]; + const intersectionObserver = new IntersectionObserver( + (entries, _observer) => { + entries.forEach((entry) => { + if (entry.isIntersecting) { + if (visibleElements.indexOf(entry.target) === -1) { + visibleElements.push(entry.target); + } + } else { + visibleElements = visibleElements.filter((visibleEntry) => { + return visibleEntry !== entry; + }); + } + }); + + if (!hasObserved) { + hideOverlappedSidebars(); + } + hasObserved = true; + }, + {} + ); + els.forEach((el) => { + intersectionObserver.observe(el); + }); + + return { + getVisibleEntries: () => { + return visibleElements; + }, + }; + }; + + const rightElementObserver = visibleItemObserver(rightSideConflictEls); + const leftElementObserver = visibleItemObserver(leftSideConflictEls); + + const hideOverlappedSidebars = () => { + marginScrollVisibility(toRegions(rightElementObserver.getVisibleEntries())); + sidebarScrollVisiblity(toRegions(leftElementObserver.getVisibleEntries())); + if (tocLeftScrollVisibility) { + tocLeftScrollVisibility( + toRegions(leftElementObserver.getVisibleEntries()) + ); + } + }; + + window.quartoToggleReader = () => { + // Applies a slow class (or removes it) + // to update the transition speed + const slowTransition = (slow) => { + const manageTransition = (id, slow) => { + const el = document.getElementById(id); + if (el) { + if (slow) { + el.classList.add("slow"); + } else { + el.classList.remove("slow"); + } + } + }; + + manageTransition("TOC", slow); + manageTransition("quarto-sidebar", slow); + }; + const readerMode = !isReaderMode(); + setReaderModeValue(readerMode); + + // If we're entering reader mode, slow the transition + if (readerMode) { + slowTransition(readerMode); + } + highlightReaderToggle(readerMode); + hideOverlappedSidebars(); + + // If we're exiting reader mode, restore the non-slow transition + if (!readerMode) { + slowTransition(!readerMode); + } + }; + + const highlightReaderToggle = (readerMode) => { + const els = document.querySelectorAll(".quarto-reader-toggle"); + if (els) { + els.forEach((el) => { + if (readerMode) { + el.classList.add("reader"); + } else { + el.classList.remove("reader"); + } + }); + } + }; + + const setReaderModeValue = (val) => { + if (window.location.protocol !== "file:") { + window.localStorage.setItem("quarto-reader-mode", val); + } else { + localReaderMode = val; + } + }; + + const isReaderMode = () => { + if (window.location.protocol !== "file:") { + return window.localStorage.getItem("quarto-reader-mode") === "true"; + } else { + return localReaderMode; + } + }; + let localReaderMode = null; + + const tocOpenDepthStr = tocEl?.getAttribute("data-toc-expanded"); + const tocOpenDepth = tocOpenDepthStr ? Number(tocOpenDepthStr) : 1; + + // Walk the TOC and collapse/expand nodes + // Nodes are expanded if: + // - they are top level + // - they have children that are 'active' links + // - they are directly below an link that is 'active' + const walk = (el, depth) => { + // Tick depth when we enter a UL + if (el.tagName === "UL") { + depth = depth + 1; + } + + // It this is active link + let isActiveNode = false; + if (el.tagName === "A" && el.classList.contains("active")) { + isActiveNode = true; + } + + // See if there is an active child to this element + let hasActiveChild = false; + for (const child of el.children) { + hasActiveChild = walk(child, depth) || hasActiveChild; + } + + // Process the collapse state if this is an UL + if (el.tagName === "UL") { + if (tocOpenDepth === -1 && depth > 1) { + // toc-expand: false + el.classList.add("collapse"); + } else if ( + depth <= tocOpenDepth || + hasActiveChild || + prevSiblingIsActiveLink(el) + ) { + el.classList.remove("collapse"); + } else { + el.classList.add("collapse"); + } + + // untick depth when we leave a UL + depth = depth - 1; + } + return hasActiveChild || isActiveNode; + }; + + // walk the TOC and expand / collapse any items that should be shown + if (tocEl) { + updateActiveLink(); + walk(tocEl, 0); + } + + // Throttle the scroll event and walk peridiocally + window.document.addEventListener( + "scroll", + throttle(() => { + if (tocEl) { + updateActiveLink(); + walk(tocEl, 0); + } + if (!isReaderMode()) { + hideOverlappedSidebars(); + } + }, 5) + ); + window.addEventListener( + "resize", + throttle(() => { + if (tocEl) { + updateActiveLink(); + walk(tocEl, 0); + } + if (!isReaderMode()) { + hideOverlappedSidebars(); + } + }, 10) + ); + hideOverlappedSidebars(); + highlightReaderToggle(isReaderMode()); +}); + +tabsets.init(); + +function throttle(func, wait) { + let waiting = false; + return function () { + if (!waiting) { + func.apply(this, arguments); + waiting = true; + setTimeout(function () { + waiting = false; + }, wait); + } + }; +} + +function nexttick(func) { + return setTimeout(func, 0); +} diff --git a/README_files/libs/quarto-html/tabsets/tabsets.js b/README_files/libs/quarto-html/tabsets/tabsets.js new file mode 100644 index 0000000000000000000000000000000000000000..51345d0ed715c5ae4af9ff21bd99e3a81cb9e71f --- /dev/null +++ b/README_files/libs/quarto-html/tabsets/tabsets.js @@ -0,0 +1,95 @@ +// grouped tabsets + +export function init() { + window.addEventListener("pageshow", (_event) => { + function getTabSettings() { + const data = localStorage.getItem("quarto-persistent-tabsets-data"); + if (!data) { + localStorage.setItem("quarto-persistent-tabsets-data", "{}"); + return {}; + } + if (data) { + return JSON.parse(data); + } + } + + function setTabSettings(data) { + localStorage.setItem( + "quarto-persistent-tabsets-data", + JSON.stringify(data) + ); + } + + function setTabState(groupName, groupValue) { + const data = getTabSettings(); + data[groupName] = groupValue; + setTabSettings(data); + } + + function toggleTab(tab, active) { + const tabPanelId = tab.getAttribute("aria-controls"); + const tabPanel = document.getElementById(tabPanelId); + if (active) { + tab.classList.add("active"); + tabPanel.classList.add("active"); + } else { + tab.classList.remove("active"); + tabPanel.classList.remove("active"); + } + } + + function toggleAll(selectedGroup, selectorsToSync) { + for (const [thisGroup, tabs] of Object.entries(selectorsToSync)) { + const active = selectedGroup === thisGroup; + for (const tab of tabs) { + toggleTab(tab, active); + } + } + } + + function findSelectorsToSyncByLanguage() { + const result = {}; + const tabs = Array.from( + document.querySelectorAll(`div[data-group] a[id^='tabset-']`) + ); + for (const item of tabs) { + const div = item.parentElement.parentElement.parentElement; + const group = div.getAttribute("data-group"); + if (!result[group]) { + result[group] = {}; + } + const selectorsToSync = result[group]; + const value = item.innerHTML; + if (!selectorsToSync[value]) { + selectorsToSync[value] = []; + } + selectorsToSync[value].push(item); + } + return result; + } + + function setupSelectorSync() { + const selectorsToSync = findSelectorsToSyncByLanguage(); + Object.entries(selectorsToSync).forEach(([group, tabSetsByValue]) => { + Object.entries(tabSetsByValue).forEach(([value, items]) => { + items.forEach((item) => { + item.addEventListener("click", (_event) => { + setTabState(group, value); + toggleAll(value, selectorsToSync[group]); + }); + }); + }); + }); + return selectorsToSync; + } + + const selectorsToSync = setupSelectorSync(); + for (const [group, selectedName] of Object.entries(getTabSettings())) { + const selectors = selectorsToSync[group]; + // it's possible that stale state gives us empty selections, so we explicitly check here. + if (selectors) { + toggleAll(selectedName, selectors); + } + } + }); +} diff --git a/README_files/libs/quarto-html/tippy.css 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bec204167857e75cae4ce3a9355e169be2409d68..4d15423d8487eefdd31d1506fb9ebe14c6293fcd 100644 --- a/app.py +++ b/app.py @@ -1,70 +1,45 @@ -import gradio as gr -from huggingface_hub import InferenceClient - - -def respond( - message, - history: list[dict[str, str]], - system_message, - max_tokens, - temperature, - top_p, - hf_token: gr.OAuthToken, -): - """ - For more information on `huggingface_hub` Inference API support, please check the docs: https://huggingface.co/docs/huggingface_hub/v0.22.2/en/guides/inference - """ - client = InferenceClient(token=hf_token.token, model="openai/gpt-oss-20b") - - messages = [{"role": "system", "content": system_message}] - - messages.extend(history) - - messages.append({"role": "user", "content": message}) - - response = "" - - for message in client.chat_completion( - messages, - max_tokens=max_tokens, - stream=True, - temperature=temperature, - top_p=top_p, - ): - choices = message.choices - token = "" - if len(choices) and choices[0].delta.content: - token = choices[0].delta.content - - response += token - yield response - - -""" -For information on how to customize the ChatInterface, peruse the gradio docs: https://www.gradio.app/docs/chatinterface +#!/usr/bin/env python3 """ -chatbot = gr.ChatInterface( - respond, - type="messages", - additional_inputs=[ - gr.Textbox(value="You are a friendly Chatbot.", label="System message"), - gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens"), - gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="Temperature"), - gr.Slider( - minimum=0.1, - maximum=1.0, - value=0.95, - step=0.05, - label="Top-p (nucleus sampling)", - ), - ], -) +Hugging Face Space app for Second Brain AI Assistant. -with gr.Blocks() as demo: - with gr.Sidebar(): - gr.LoginButton() - chatbot.render() +Direct implementation for HF Space deployment. +""" +import os +import sys +from pathlib import Path + +# Add the current directory and src directory to Python path +sys.path.append('.') +sys.path.append('src') + +from second_brain_online.application.agents import get_agent +from second_brain_online.application.ui import CustomGradioUI + +def main(): + """Main function for Hugging Face Space deployment.""" + # Set default values for HF Spaces + retriever_config_path = os.getenv("RETRIEVER_CONFIG_PATH", "configs/compute_rag_vector_index_openai_contextual_simple.yaml") + + print("🚀 Starting Second Brain AI Assistant...") + print(f"📁 Using retriever config: {retriever_config_path}") + + try: + # Initialize agent + agent = get_agent(retriever_config_path=Path(retriever_config_path)) + + # Get the actual agent from the wrapper + actual_agent = agent._AgentWrapper__agent + + # Launch custom UI + CustomGradioUI(actual_agent).launch( + server_name="0.0.0.0", + server_port=7860, + share=False + ) + except Exception as e: + print(f"❌ Error starting the application: {e}") + raise if __name__ == "__main__": - demo.launch() + main() diff --git a/configs/compute_rag_vector_index_huggingface_contextual_simple.yaml b/configs/compute_rag_vector_index_huggingface_contextual_simple.yaml new file mode 100644 index 0000000000000000000000000000000000000000..c11b6389113987b7df6cf948b3d7be72c25a4fcb --- /dev/null +++ b/configs/compute_rag_vector_index_huggingface_contextual_simple.yaml @@ -0,0 +1,17 @@ +parameters: + extract_collection_name: raw + fetch_limit: 100 + load_collection_name: rag + content_quality_score_threshold: 0.6 + retriever_type: contextual + embedding_model_id: Alibaba-NLP/gte-large-en-v1.5 + embedding_model_type: huggingface + embedding_model_dim: 1024 + chunk_size: 640 + contextual_summarization_type: simple + contextual_agent_model_id: tgi + contextual_agent_max_characters: 128 + mock: false + processing_batch_size: 2 + processing_max_workers: 2 + device: mps # or cuda (for Nvidia GPUs) or mps (for Apple M1/M2/M3 chips) diff --git a/configs/compute_rag_vector_index_meetings.yaml b/configs/compute_rag_vector_index_meetings.yaml new file mode 100644 index 0000000000000000000000000000000000000000..59be52a6e672327c9e141c06912b148f14c364bb --- /dev/null +++ b/configs/compute_rag_vector_index_meetings.yaml @@ -0,0 +1,17 @@ +# Meeting Data RAG Configuration for Online App +# This file is for using meeting data from test_meetings collection + +parameters: + extract_collection_name: test_meetings # Source: our BigQuery meeting data + fetch_limit: 100 # Process all meeting documents (we have ~100) + load_collection_name: rag # Destination: contextualized chunks + content_quality_score_threshold: 0.5 # Lower threshold for meetings + retriever_type: parent # Use parent retriever (performed better in our tests) + embedding_model_id: text-embedding-3-small + embedding_model_type: openai + embedding_model_dim: 1536 + chunk_size: 640 + mock: false + processing_batch_size: 8 + processing_max_workers: 4 + device: mps # Use MPS for Apple Silicon acceleration diff --git a/configs/compute_rag_vector_index_openai_contextual.yaml b/configs/compute_rag_vector_index_openai_contextual.yaml new file mode 100644 index 0000000000000000000000000000000000000000..1b4b639508e103159a829d90812a7bd6d3530e14 --- /dev/null +++ b/configs/compute_rag_vector_index_openai_contextual.yaml @@ -0,0 +1,17 @@ +parameters: + extract_collection_name: raw + fetch_limit: 30 + load_collection_name: rag + content_quality_score_threshold: 0.6 + retriever_type: contextual + embedding_model_id: text-embedding-3-small + embedding_model_type: openai + embedding_model_dim: 1536 + chunk_size: 3072 + contextual_summarization_type: contextual + contextual_agent_model_id: gpt-4o + contextual_agent_max_characters: 128 + mock: false + processing_batch_size: 2 + processing_max_workers: 2 + device: mps # or cuda (for Nvidia GPUs) or mps (for Apple M1/M2/M3 chips) diff --git a/configs/compute_rag_vector_index_openai_contextual_simple.yaml b/configs/compute_rag_vector_index_openai_contextual_simple.yaml new file mode 100644 index 0000000000000000000000000000000000000000..985a4bcd75d9e6258ce3da294e5740c4af6325dc --- /dev/null +++ b/configs/compute_rag_vector_index_openai_contextual_simple.yaml @@ -0,0 +1,17 @@ +parameters: + extract_collection_name: raw + fetch_limit: 200 + load_collection_name: rag + content_quality_score_threshold: 0.6 + retriever_type: contextual + embedding_model_id: text-embedding-3-small + embedding_model_type: openai + embedding_model_dim: 1536 + chunk_size: 640 + contextual_summarization_type: contextual + contextual_agent_model_id: gpt-4o + contextual_agent_max_characters: 128 + mock: false + processing_batch_size: 2 + processing_max_workers: 2 + device: mps # or cuda (for Nvidia GPUs) or mps (for Apple M1/M2/M3 chips) diff --git a/configs/compute_rag_vector_index_openai_parent.yaml b/configs/compute_rag_vector_index_openai_parent.yaml new file mode 100644 index 0000000000000000000000000000000000000000..2f24a0e2920aa0fdc82dd05cbd26dd532eada4ad --- /dev/null +++ b/configs/compute_rag_vector_index_openai_parent.yaml @@ -0,0 +1,14 @@ +parameters: + extract_collection_name: raw + fetch_limit: 1000 + load_collection_name: rag + content_quality_score_threshold: 0.6 + retriever_type: parent + embedding_model_id: text-embedding-3-small + embedding_model_type: openai + embedding_model_dim: 1536 + chunk_size: 640 + mock: false + processing_batch_size: 8 + processing_max_workers: 4 + device: mps # or cuda (for Nvidia GPUs) or mps (for Apple M1/M2/M3 chips) diff --git a/pyproject.toml b/pyproject.toml new file mode 100644 index 0000000000000000000000000000000000000000..a100802f244095a2240b613b57a6b52ba6a83c43 --- /dev/null +++ b/pyproject.toml @@ -0,0 +1,48 @@ +[project] +name = "second-brain-online-course" +version = "0.1.0" +description = "Self-paced course on production LLMs and RAG by teaching you how to build an AI assistant on top of your Notion second brain." +readme = "README.md" +requires-python = ">=3.11" +authors = [ + {name = "Paul Iusztin", email = "p.b.iusztin@gmail.com"}, + {name = "Ernesto Larios", email = "elsoloscuro@hotmail.com"}, +] +license = { text = "MIT" } + +dependencies = [ + "loguru>=0.7.3", + "pydantic>=2.8.2", + "pydantic-settings>=2.7.0", + "pymongo>=4.10.1", + "boto3>=1.36.0", + "langchain>=0.3.14", + "langchain-mongodb>=0.4.0", + "langchain-openai>=0.3.1", + "langchain-core>=0.3.30", + "gradio>=5.12.0", + "smolagents>=1.4.1", + "opik>=0.1.0", + "comet_ml>=3.47.6", + "langchain-huggingface>=0.1.2", + "huggingface-hub>=0.27.1", +] + +[dependency-groups] +dev = [ + "pytest>=8.3.4", + "ruff>=0.7.2", +] + +[tool.pip] +extra-index-url = "https://download.pytorch.org/whl/cpu/torch_stable.html" + +[build-system] +requires = ["hatchling"] +build-backend = "hatchling.build" + +[tool.hatch.build.targets.wheel] +packages = ["src/second_brain_online"] + +[tool.ruff] +target-version = "py311" diff --git a/src/second_brain_online/__init__.py b/src/second_brain_online/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/src/second_brain_online/application/__init__.py b/src/second_brain_online/application/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..dff5872ef8d7e6c418f3543136ca690546e8e87b --- /dev/null +++ b/src/second_brain_online/application/__init__.py @@ -0,0 +1,4 @@ +from . import agents, rag +from .evaluation import evaluate + +__all__ = ["rag", "agents", "evaluate"] diff --git a/src/second_brain_online/application/agents/__init__.py b/src/second_brain_online/application/agents/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..4414aa3f93c6b0bc9a0eba7c110560c354062088 --- /dev/null +++ b/src/second_brain_online/application/agents/__init__.py @@ -0,0 +1,3 @@ +from .agents import extract_tool_responses, get_agent + +__all__ = ["get_agent", "extract_tool_responses"] diff --git a/src/second_brain_online/application/agents/agents.py b/src/second_brain_online/application/agents/agents.py new file mode 100644 index 0000000000000000000000000000000000000000..5751adec20f9c0df8f44aa45afcd2e3c3a031a92 --- /dev/null +++ b/src/second_brain_online/application/agents/agents.py @@ -0,0 +1,144 @@ +from pathlib import Path +from typing import Any + +import opik +from loguru import logger +from opik import opik_context +from smolagents import LiteLLMModel, MessageRole, MultiStepAgent, ToolCallingAgent + +from second_brain_online.config import settings + +from .tools import ( + HuggingFaceEndpointSummarizerTool, + MongoDBRetrieverTool, + OpenAISummarizerTool, + what_can_i_do, +) + + +def get_agent(retriever_config_path: Path) -> "AgentWrapper": + agent = AgentWrapper.build_from_smolagents( + retriever_config_path=retriever_config_path + ) + + return agent + + +class AgentWrapper: + def __init__(self, agent: MultiStepAgent) -> None: + self.__agent = agent + + @property + def input_messages(self) -> list[dict]: + return self.__agent.input_messages + + @property + def agent_name(self) -> str: + return self.__agent.agent_name + + @property + def max_steps(self) -> str: + return self.__agent.max_steps + + @classmethod + def build_from_smolagents(cls, retriever_config_path: Path) -> "AgentWrapper": + retriever_tool = MongoDBRetrieverTool(config_path=retriever_config_path) + if settings.USE_HUGGINGFACE_DEDICATED_ENDPOINT: + logger.warning( + f"Using Hugging Face dedicated endpoint as the summarizer with URL: {settings.HUGGINGFACE_DEDICATED_ENDPOINT}" + ) + summarizer_tool = HuggingFaceEndpointSummarizerTool() + else: + logger.warning( + f"Using OpenAI as the summarizer with model: {settings.OPENAI_MODEL_ID}" + ) + summarizer_tool = OpenAISummarizerTool(stream=False) + + model = LiteLLMModel( + model_id=settings.OPENAI_MODEL_ID, + api_base="https://api.openai.com/v1", + api_key=settings.OPENAI_API_KEY, + ) + + agent = ToolCallingAgent( + tools=[what_can_i_do, retriever_tool], # Remove summarizer - it's redundant + model=model, + max_steps=2, # Reduce steps since we removed summarizer + verbosity_level=2, + ) + + return cls(agent) + + @opik.track(name="Agent.run") + def run(self, task: str, **kwargs) -> Any: + result = self.__agent.run(task, **kwargs) + + model = self.__agent.model + metadata = { + "system_prompt": self.__agent.system_prompt, + "system_prompt_template": self.__agent.system_prompt_template, + "tool_description_template": self.__agent.tool_description_template, + "tools": self.__agent.tools, + "model_id": self.__agent.model.model_id, + "api_base": self.__agent.model.api_base, + "input_token_count": model.last_input_token_count, + "output_token_count": model.last_output_token_count, + } + if hasattr(self.__agent, "step_number"): + metadata["step_number"] = self.__agent.step_number + opik_context.update_current_trace( + tags=["agent"], + metadata=metadata, + ) + + return result + + +def extract_tool_responses(agent: ToolCallingAgent) -> str: + """ + Extracts and concatenates all tool response contents with numbered observation delimiters. + + Args: + input_messages (List[Dict]): List of message dictionaries containing 'role' and 'content' keys + + Returns: + str: Tool response contents separated by numbered observation delimiters + + Example: + >>> messages = [ + ... {"role": MessageRole.TOOL_RESPONSE, "content": "First response"}, + ... {"role": MessageRole.USER, "content": "Question"}, + ... {"role": MessageRole.TOOL_RESPONSE, "content": "Second response"} + ... ] + >>> extract_tool_responses(messages) + "-------- OBSERVATION 1 --------\nFirst response\n-------- OBSERVATION 2 --------\nSecond response" + """ + + tool_responses = [ + msg["content"] + for msg in agent.input_messages + if msg["role"] == MessageRole.TOOL_RESPONSE + ] + + return "\n".join( + f"-------- OBSERVATION {i + 1} --------\n{response}" + for i, response in enumerate(tool_responses) + ) + + +class OpikAgentMonitorCallback: + def __init__(self) -> None: + self.output_state: dict = {} + + def __call__(self, step_log) -> None: + input_state = { + "agent_memory": step_log.agent_memory, + "tool_calls": step_log.tool_calls, + } + self.output_state = {"observations": step_log.observations} + + self.trace(input_state) + + @opik.track(name="Callback.agent_step") + def trace(self, step_log) -> dict: + return self.output_state diff --git a/src/second_brain_online/application/agents/tools/__init__.py b/src/second_brain_online/application/agents/tools/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..7822797aafaaa41876e1f6bcdeb4611d18055680 --- /dev/null +++ b/src/second_brain_online/application/agents/tools/__init__.py @@ -0,0 +1,10 @@ +from .mongodb_retriever import MongoDBRetrieverTool +from .summarizer import HuggingFaceEndpointSummarizerTool, OpenAISummarizerTool +from .what_can_i_do import what_can_i_do + +__all__ = [ + "what_can_i_do", + "MongoDBRetrieverTool", + "HuggingFaceEndpointSummarizerTool", + "OpenAISummarizerTool", +] diff --git a/src/second_brain_online/application/agents/tools/mongodb_retriever.py b/src/second_brain_online/application/agents/tools/mongodb_retriever.py new file mode 100644 index 0000000000000000000000000000000000000000..4fad3762282c2d895ed898377c4e2415cf2c029c --- /dev/null +++ b/src/second_brain_online/application/agents/tools/mongodb_retriever.py @@ -0,0 +1,148 @@ +import json +from pathlib import Path + +import yaml +from loguru import logger +from opik import opik_context, track +from smolagents import Tool + +from second_brain_online.application.rag import get_retriever + + +class MongoDBRetrieverTool(Tool): + name = "mongodb_vector_search_retriever" + description = """Use this tool to search and retrieve relevant documents from a knowledge base using semantic search. + This tool performs similarity-based search to find the most relevant documents matching the query. + Best used when you need to: + - Find specific information from stored documents + - Get context about a topic + - Research historical data or documentation + The tool will return multiple relevant document snippets.""" + + inputs = { + "query": { + "type": "string", + "description": """The search query to find relevant documents for using semantic search. + Should be a clear, specific question or statement about the information you're looking for.""", + } + } + output_type = "string" + + def __init__(self, config_path: Path, **kwargs): + super().__init__(**kwargs) + + self.config_path = config_path + self.retriever = self.__load_retriever(config_path) + + def __load_retriever(self, config_path: Path): + config = yaml.safe_load(config_path.read_text()) + config = config["parameters"] + + return get_retriever( + embedding_model_id=config["embedding_model_id"], + embedding_model_type=config["embedding_model_type"], + retriever_type=config["retriever_type"], + k=5, + device=config["device"], + ) + + @track(name="MongoDBRetrieverTool.forward") + def forward(self, query: str) -> str: + if hasattr(self.retriever, "search_kwargs"): + search_kwargs = self.retriever.search_kwargs + else: + try: + search_kwargs = { + "fulltext_penalty": self.retriever.fulltext_penalty, + "vector_score_penalty": self.retriever.vector_penalty, + "top_k": self.retriever.top_k, + } + except AttributeError: + logger.warning("Could not extract search kwargs from retriever.") + + search_kwargs = {} + + opik_context.update_current_trace( + tags=["agent"], + metadata={ + "search": search_kwargs, + "embedding_model_id": self.retriever.vectorstore.embeddings.model, + }, + ) + + try: + query = self.__parse_query(query) + relevant_docs = self.retriever.invoke(query) + + formatted_docs = [] + for i, doc in enumerate(relevant_docs, 1): + # Extract metadata + title = doc.metadata.get("title", "Untitled") + datetime = doc.metadata.get("datetime", "unknown") + contextual_summary = doc.metadata.get("contextual_summary", "") + marketing_insights = doc.metadata.get("marketing_insights", {}) + content = doc.page_content.strip() + + # Format marketing insights if available + marketing_insights_text = "" + if marketing_insights: + marketing_insights_text = "\n\n" + + # Add quotes + quotes = marketing_insights.get("quotes", []) + if quotes: + marketing_insights_text += "\n" + for quote in quotes: + marketing_insights_text += f"- \"{quote.get('quote', '')}\" (Sentiment: {quote.get('sentiment', 'Unknown')})\n" + marketing_insights_text += "\n" + + # Add key findings + findings = marketing_insights.get("key_findings", []) + if findings: + marketing_insights_text += "\n" + for finding in findings: + marketing_insights_text += f"- {finding.get('finding', '')} (Impact: {finding.get('impact', 'Unknown')})\n" + marketing_insights_text += "\n" + + marketing_insights_text += "\n" + + # Create optimized document structure - truncate content to avoid token overload + content_preview = content[:500] + "..." if len(content) > 500 else content + formatted_docs.append( + f""" + +{title} +{datetime} + +{contextual_summary} + +{marketing_insights_text} + +{content_preview} + + +""" + ) + + result = "\n".join(formatted_docs) + result = f""" + +{result} + +When using context from any document, reference the document title and date for attribution. +""" + return result + except Exception: + logger.opt(exception=True).debug("Error retrieving documents.") + + return "Error retrieving documents." + + @track(name="MongoDBRetrieverTool.parse_query") + def __parse_query(self, query: str) -> str: + try: + # Try to parse as JSON first + query_dict = json.loads(query) + return query_dict["query"] + except (json.JSONDecodeError, KeyError): + # If JSON parsing fails, return the query as-is + return query diff --git a/src/second_brain_online/application/agents/tools/summarizer.py b/src/second_brain_online/application/agents/tools/summarizer.py new file mode 100644 index 0000000000000000000000000000000000000000..dca98c321f4d2b3b0f683cc64ad1383aca1da57f --- /dev/null +++ b/src/second_brain_online/application/agents/tools/summarizer.py @@ -0,0 +1,126 @@ +from openai import OpenAI +from opik import track +from smolagents import Tool + +from second_brain_online.config import settings + + +class HuggingFaceEndpointSummarizerTool(Tool): + name = "huggingface_summarizer" + description = """Use this tool to summarize a piece of text. Especially useful when you need to summarize a document.""" + + inputs = { + "text": { + "type": "string", + "description": """The text to summarize.""", + } + } + output_type = "string" + + SYSTEM_PROMPT = """ + + Below is an instruction that describes a task, paired with an input that provides further context. Write a response that appropriately completes the request. + + ### Instruction: + You are a helpful assistant specialized in summarizing documents. Generate a concise TL;DR summary in markdown format having a maximum of 512 characters of the key findings from the provided documents, highlighting the most significant insights + + ### Input: + {content} + + ### Response: + """ + + def __init__(self, *args, **kwargs) -> None: + super().__init__(*args, **kwargs) + + assert settings.HUGGINGFACE_ACCESS_TOKEN is not None, ( + "HUGGINGFACE_ACCESS_TOKEN is required to use the dedicated endpoint. Add it to the .env file." + ) + assert settings.HUGGINGFACE_DEDICATED_ENDPOINT is not None, ( + "HUGGINGFACE_DEDICATED_ENDPOINT is required to use the dedicated endpoint. Add it to the .env file." + ) + + self.__client = OpenAI( + base_url=settings.HUGGINGFACE_DEDICATED_ENDPOINT, + api_key=settings.HUGGINGFACE_ACCESS_TOKEN, + ) + + @track + def forward(self, text: str) -> str: + result = self.__client.chat.completions.create( + model="tgi", + messages=[ + { + "role": "user", + "content": self.SYSTEM_PROMPT.format(content=text), + }, + ], + ) + + return result.choices[0].message.content + + +class OpenAISummarizerTool(Tool): + name = "openai_summarizer" + description = """Use this tool to summarize search results in XML format. This tool is especially useful when you need to analyze multiple documents from search results. The tool will parse XML search results, identify topics that are directly relevant to the user's query, and create a focused summary with document references. It filters out irrelevant topics to ensure the summary directly answers the user's question.""" + + inputs = { + "text": { + "type": "string", + "description": """The text to summarize.""", + } + } + output_type = "string" + + SYSTEM_PROMPT = """You are an expert document analyst specialized in query-focused summarization. + +Your task is to analyze search results and create a focused summary that directly answers the user's question. + +When you receive XML search results, you should: +1. Parse ALL documents from the XML structure +2. Identify topics that are directly relevant to the user's query +3. Filter out irrelevant topics that don't relate to the question +4. Group related information by relevant topics +5. Extract key insights that directly answer the user's question +6. Include document references with titles and dates when available + +Analysis Guidelines: +- Focus on information that directly answers the user's question +- Only include topics that are relevant to the query +- Use specific document titles and dates from the XML metadata when available +- Ignore irrelevant information like cookie policies, privacy policies, HTTP errors, etc. +- Create a well-structured, readable summary +- Group similar topics together when appropriate + +Document content: +{content} + +Generate a focused summary that directly answers the user's question, organized by relevant topics with document references. Exclude any topics that don't directly relate to the question.""" + + def __init__(self, *args, **kwargs) -> None: + super().__init__(*args, **kwargs) + + self.__client = OpenAI( + base_url="https://api.openai.com/v1", + api_key=settings.OPENAI_API_KEY, + ) + + @track + def forward(self, text: str) -> str: + result = self.__client.chat.completions.create( + model=settings.OPENAI_MODEL_ID, + messages=[ + { + "role": "system", + "content": "You are an expert document analyst specialized in query-focused topic-based summarization. You excel at parsing XML search results, identifying relevant topics, and creating structured summaries with proper document references." + }, + { + "role": "user", + "content": self.SYSTEM_PROMPT.format(content=text), + }, + ], + temperature=0.1, # Lower temperature for more consistent, focused output + max_tokens=2000, # Increased token limit for more detailed summaries + ) + + return result.choices[0].message.content diff --git a/src/second_brain_online/application/agents/tools/what_can_i_do.py b/src/second_brain_online/application/agents/tools/what_can_i_do.py new file mode 100644 index 0000000000000000000000000000000000000000..56f093bf44b91dac1ba445688fc9ef6f9abf0227 --- /dev/null +++ b/src/second_brain_online/application/agents/tools/what_can_i_do.py @@ -0,0 +1,60 @@ +import opik +from smolagents import tool + + +@opik.track(name="what_can_i_do") +@tool +def what_can_i_do(question: str) -> str: + """Returns a comprehensive list of available capabilities and topics in the Second Brain system. + + This tool should be used when: + - The user explicitly asks what the system can do + - The user asks about available features or capabilities + - The user seems unsure about what questions they can ask + - The user wants to explore the system's knowledge areas + + This tool should NOT be used when: + - The user asks a specific technical question + - The user already knows what they want to learn about + - The question is about a specific topic covered in the knowledge base + + Args: + question: The user's query about system capabilities. While this parameter is required, + the function returns a standard capability list regardless of the specific question. + + Returns: + str: A formatted string containing categorized lists of example questions and topics + that users can explore within the Second Brain system. + + Examples: + >>> what_can_i_do("What can this system do?") + >>> what_can_i_do("What kind of questions can I ask?") + >>> what_can_i_do("Help me understand what I can learn here") + """ + + return """ +You can ask questions about the content in your Second Brain, such as: + +Architecture and Systems: +- What is the feature/training/inference (FTI) architecture? +- How do agentic systems work? +- Detail how does agent memory work in agentic applications? + +LLM Technology: +- What are LLMs? +- What is BERT (Bidirectional Encoder Representations from Transformers)? +- Detail how does RLHF (Reinforcement Learning from Human Feedback) work? +- What are the top LLM frameworks for building applications? +- Write me a paragraph on how can I optimize LLMs during inference? + +RAG and Document Processing: +- What tools are available for processing PDFs for LLMs and RAG? +- What's the difference between vector databases and vector indices? +- How does document chunk overlap affect RAG performance? +- What is chunk reranking and why is it important? +- What are advanced RAG techniques for optimization? +- How can RAG pipelines be evaluated? + +Learning Resources: +- Can you recommend courses on LLMs and RAG? +""" diff --git a/src/second_brain_online/application/evaluation/__init__.py b/src/second_brain_online/application/evaluation/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..6c1e220f5f7a6b5c72a7ea5fb18d1308726dc6ad --- /dev/null +++ b/src/second_brain_online/application/evaluation/__init__.py @@ -0,0 +1,5 @@ +from .evaluate import evaluate_agent +from .summary_density_heuristic import SummaryDensityHeuristic +from .summary_density_judge import SummaryDensityJudge + +__all__ = ["evaluate_agent", "SummaryDensityHeuristic", "SummaryDensityJudge"] diff --git a/src/second_brain_online/application/evaluation/evaluate.py b/src/second_brain_online/application/evaluation/evaluate.py new file mode 100644 index 0000000000000000000000000000000000000000..1ccfc6a8f8ba9df35dc1acab19b9c1336aa721d6 --- /dev/null +++ b/src/second_brain_online/application/evaluation/evaluate.py @@ -0,0 +1,73 @@ +from pathlib import Path + +from loguru import logger +from opik.evaluation import evaluate +from opik.evaluation.metrics import AnswerRelevance, Hallucination, Moderation + +from second_brain_online import opik_utils +from second_brain_online.application.agents import agents, extract_tool_responses +from second_brain_online.config import settings + +from .summary_density_heuristic import SummaryDensityHeuristic +from .summary_density_judge import SummaryDensityJudge + +opik_utils.configure() + + +def evaluate_agent(prompts: list[str], retriever_config_path: Path) -> None: + assert settings.COMET_API_KEY, ( + "COMET_API_KEY is not set. We need it to track the experiment with Opik." + ) + + logger.info("Starting evaluation...") + logger.info(f"Evaluating agent with {len(prompts)} prompts.") + + def evaluation_task(x: dict) -> dict: + """Call agentic app logic to evaluate.""" + + agent = agents.get_agent(retriever_config_path=retriever_config_path) + response = agent.run(x["input"]) + context = extract_tool_responses(agent) + + return { + "input": x["input"], + "context": context, + "output": response, + } + + # Get or create dataset + dataset_name = "second_brain_rag_agentic_app_evaluation_dataset" + dataset = opik_utils.get_or_create_dataset(name=dataset_name, prompts=prompts) + + # Evaluate + agent = agents.get_agent(retriever_config_path=retriever_config_path) + experiment_config = { + "model_id": settings.OPENAI_MODEL_ID, + "retriever_config_path": retriever_config_path, + "agent_config": { + "max_steps": agent.max_steps, + "agent_name": agent.agent_name, + }, + } + scoring_metrics = [ + Hallucination(), + AnswerRelevance(), + Moderation(), + SummaryDensityHeuristic(), + SummaryDensityJudge(), + ] + + if dataset: + logger.info("Evaluation details:") + logger.info(f"Dataset: {dataset_name}") + logger.info(f"Metrics: {[m.__class__.__name__ for m in scoring_metrics]}") + + evaluate( + dataset=dataset, + task=evaluation_task, + scoring_metrics=scoring_metrics, + experiment_config=experiment_config, + task_threads=2, + ) + else: + logger.error("Can't run the evaluation as the dataset items are empty.") diff --git a/src/second_brain_online/application/evaluation/summary_density_heuristic.py b/src/second_brain_online/application/evaluation/summary_density_heuristic.py new file mode 100644 index 0000000000000000000000000000000000000000..b9eaba619edfa1c2f2af23fc1a34d6da2b587dec --- /dev/null +++ b/src/second_brain_online/application/evaluation/summary_density_heuristic.py @@ -0,0 +1,87 @@ +from typing import Any + +from opik.evaluation.metrics import base_metric, score_result + + +class SummaryDensityHeuristic(base_metric.BaseMetric): + """ + A metric that evaluates whether an LLM's output has appropriate length and density. + + This metric uses an heuristic to determine if the output length is appropriate for the given instruction. + It returns a normalized score between 0 and 1, where: + - 0.0 (Poor): Output is either too short and incomplete, or too long with unnecessary information + - 0.5 (Good): Output has decent length balance but still slightly too short or too long + - 1.0 (Excellent): Output length is appropriate, answering the question concisely without being verbose + """ + + def __init__( + self, + name: str = "summary_density_heuristic", + min_length: int = 128, + max_length: int = 1024, + ) -> None: + self.name = name + self.min_length = min_length + self.max_length = max_length + + def score( + self, input: str, output: str, **ignored_kwargs: Any + ) -> score_result.ScoreResult: + """ + Score the output of an LLM. + + Args: + input: The input prompt given to the LLM. + output: The output of an LLM to score. + **ignored_kwargs: Any additional keyword arguments. + + Returns: + ScoreResult: The computed score with explanation. + """ + + length_score = self._compute_length_score(output) + + reason = f"Output length: {len(output)} chars. " + if length_score == 1.0: + reason += "Length is within ideal range." + elif length_score >= 0.5: + reason += "Length is slightly outside ideal range." + else: + reason += "Length is significantly outside ideal range." + + return score_result.ScoreResult( + name=self.name, + value=length_score, + reason=reason, + ) + + def _compute_length_score(self, text: str) -> float: + """ + Compute a score based on text length relative to min and max boundaries. + + Args: + text: The text to evaluate. + + Returns: + float: A score between 0 and 1, where: + - 0.0: Text length is significantly outside the boundaries + - 0.5: Text length is slightly outside the boundaries + - 1.0: Text length is within the ideal range + """ + length = len(text) + + # If length is within bounds, return perfect score + if self.min_length <= length <= self.max_length: + return 1.0 + + if length < self.min_length: + deviation = (self.min_length - length) / self.min_length + else: + deviation = (length - self.max_length) / self.max_length + + # Convert deviation to a score between 0 and 1 + # deviation <= 0.5 -> score between 0.5 and 1.0 + # deviation > 0.5 -> score between 0.0 and 0.5 + score = max(0.0, 1.0 - deviation) + + return score diff --git a/src/second_brain_online/application/evaluation/summary_density_judge.py b/src/second_brain_online/application/evaluation/summary_density_judge.py new file mode 100644 index 0000000000000000000000000000000000000000..37352da26bedd7f9d8fb560b2d5927364c3ff54b --- /dev/null +++ b/src/second_brain_online/application/evaluation/summary_density_judge.py @@ -0,0 +1,117 @@ +import json +from typing import Any + +from opik.evaluation.metrics import base_metric, exceptions, score_result +from opik.evaluation.models import LiteLLMChatModel +from pydantic import BaseModel + +from second_brain_online.config import settings + + +class LLMJudgeStyleOutputResult(BaseModel): + score: int + reason: str + + +class SummaryDensityJudge(base_metric.BaseMetric): + """ + A metric that evaluates whether an LLM's output has appropriate length and density. + + This metric uses another LLM to judge if the output length is appropriate for the given instruction. + It returns a normalized score between 0 and 1, where: + - 0.0 (Poor): Output is either too short and incomplete, or too long with unnecessary information + - 0.5 (Good): Output has decent length balance but still slightly too short or too long + - 1.0 (Excellent): Output length is appropriate, answering the question concisely without being verbose + """ + + def __init__( + self, + name: str = "summary_density_judge", + model_name: str = settings.OPENAI_MODEL_ID, + ) -> None: + self.name = name + self.llm_client = LiteLLMChatModel(model_name=model_name) + self.prompt_template = """ + You are an impartial expert judge. Evaluate the quality of a given answer to an instruction based on how long the answer it is. + +How to decide whether the lengths of the answer is appropriate: +1 (Poor): Too short, does not answer the question OR too long, it contains too much noise and unrequired information, where the answer could be more concise. +2 (Good): Good lengthbalance of the answer, but the answer is still too short OR too long. +3 (Excellent): The length of the answer is appropriate, it answers the question and is not too long or too short. + +Example of bad answer that is too short: + +LangChain, LlamaIndex, Haystack + + +Example of bad answer that is too long: + +LangChain is a powerful and versatile framework designed specifically for building sophisticated LLM applications. It provides comprehensive abstractions for essential components like prompting, memory management, agent behaviors, and chain orchestration. The framework boasts an impressive ecosystem with extensive integrations across various tools and services, making it highly flexible for diverse use cases. However, this extensive functionality comes with a steeper learning curve that might require dedicated time to master. + +LlamaIndex (which was formerly known as GPTIndex) has carved out a specialized niche in the LLM tooling landscape, focusing primarily on data ingestion and advanced indexing capabilities for Large Language Models. It offers a rich set of sophisticated mechanisms to structure and query your data, including vector stores for semantic similarity search, keyword indices for traditional text matching, and tree indices for hierarchical data organization. While it particularly shines in Retrieval-Augmented Generation (RAG) applications, its comprehensive feature set might be excessive for more straightforward implementation needs. + +Haystack stands out as a robust end-to-end framework that places particular emphasis on question-answering systems and semantic search capabilities. It provides a comprehensive suite of document processing tools and comes equipped with production-ready pipelines that can be deployed with minimal configuration. The framework includes advanced features like multi-stage retrieval, document ranking, and reader-ranker architectures. While these capabilities make it powerful for complex information retrieval tasks, new users might find the initial configuration and architecture decisions somewhat challenging to navigate. + +Each of these frameworks brings unique strengths to the table while sharing some overlapping functionality. The choice between them often depends on specific use cases, technical requirements, and team expertise. LangChain offers the broadest general-purpose toolkit, LlamaIndex excels in data handling and RAG, while Haystack provides the most streamlined experience for question-answering systems. + + +Example of excellent answer that is appropriate: + +1. LangChain is a powerful framework for building LLM applications that provides abstractions for prompting, memory, agents, and chains. It has extensive integrations with various tools and services, making it highly flexible but potentially complex to learn. +2. LlamaIndex specializes in data ingestion and indexing for LLMs, offering sophisticated ways to structure and query your data through vector stores, keyword indices, and tree indices. It excels at RAG applications but may be overkill for simpler use cases. +3. Haystack is an end-to-end framework focused on question-answering and semantic search, with strong document processing capabilities and ready-to-use pipelines. While powerful, its learning curve can be steep for beginners. + + +Instruction: {input} + +Answer: {output} + +Provide your evaluation in JSON format with the following structure: +{{ + "accuracy": {{ + "reason": "...", + "score": 0 + }}, + "style": {{ + "reason": "...", + "score": 0 + }} +}} +""" + + def score(self, input: str, output: str, **ignored_kwargs: Any): + """ + Score the output of an LLM. + + Args: + output: The output of an LLM to score. + **ignored_kwargs: Any additional keyword arguments. This is important so that the metric can be used in the `evaluate` function. + """ + + prompt = self.prompt_template.format(input=input, output=output) + + model_output = self.llm_client.generate_string( + input=prompt, response_format=LLMJudgeStyleOutputResult + ) + + return self._parse_model_output(model_output) + + def _parse_model_output(self, content: str) -> score_result.ScoreResult: + try: + dict_content = json.loads(content) + except Exception: + raise exceptions.MetricComputationError("Failed to parse the model output.") + + score = dict_content["score"] + try: + assert 1 <= score <= 3, f"Invalid score value: {score}" + except AssertionError as e: + raise exceptions.MetricComputationError(str(e)) + + score = (score - 1) / 2.0 # Normalize the score to be between 0 and 1 + + return score_result.ScoreResult( + name=self.name, + value=score, + reason=dict_content["reason"], + ) diff --git a/src/second_brain_online/application/rag/__init__.py b/src/second_brain_online/application/rag/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..a979451a35ec389137105f4e0904af292ff1ba65 --- /dev/null +++ b/src/second_brain_online/application/rag/__init__.py @@ -0,0 +1,11 @@ +from .embeddings import EmbeddingModelType, get_embedding_model +from .retrievers import RetrieverType, get_retriever +from .splitters import get_splitter + +__all__ = [ + "get_retriever", + "get_splitter", + "EmbeddingModelType", + "get_embedding_model", + "RetrieverType", +] diff --git a/src/second_brain_online/application/rag/embeddings.py b/src/second_brain_online/application/rag/embeddings.py new file mode 100644 index 0000000000000000000000000000000000000000..a61a432b0274cc8e14747827c9f8b250e3d36c72 --- /dev/null +++ b/src/second_brain_online/application/rag/embeddings.py @@ -0,0 +1,74 @@ +from typing import Literal, Union + +from langchain_huggingface import HuggingFaceEmbeddings +from langchain_openai import OpenAIEmbeddings + +EmbeddingModelType = Literal["openai", "huggingface"] +EmbeddingsModel = Union[OpenAIEmbeddings, HuggingFaceEmbeddings] + + +def get_embedding_model( + model_id: str, + model_type: EmbeddingModelType = "huggingface", + device: str = "cpu", +) -> EmbeddingsModel: + """Gets an instance of the configured embedding model. + + The function returns either an OpenAI or HuggingFace embedding model based on the + provided model type. + + Args: + model_id (str): The ID/name of the embedding model to use + model_type (EmbeddingModelType): The type of embedding model to use. + Must be either "openai" or "huggingface". Defaults to "huggingface" + device (str): The device to use for the embedding model. Defaults to "cpu" + + Returns: + EmbeddingsModel: An embedding model instance based on the configuration settings + + Raises: + ValueError: If model_type is not "openai" or "huggingface" + """ + + if model_type == "openai": + return get_openai_embedding_model(model_id) + elif model_type == "huggingface": + return get_huggingface_embedding_model(model_id, device) + else: + raise ValueError(f"Invalid embedding model type: {model_type}") + + +def get_openai_embedding_model(model_id: str) -> OpenAIEmbeddings: + """Gets an OpenAI embedding model instance. + + Args: + model_id (str): The ID/name of the OpenAI embedding model to use + + Returns: + OpenAIEmbeddings: A configured OpenAI embeddings model instance with + special token handling enabled + """ + return OpenAIEmbeddings( + model=model_id, + allowed_special={"<|endoftext|>"}, + ) + + +def get_huggingface_embedding_model( + model_id: str, device: str +) -> HuggingFaceEmbeddings: + """Gets a HuggingFace embedding model instance. + + Args: + model_id (str): The ID/name of the HuggingFace embedding model to use + device (str): The compute device to run the model on (e.g. "cpu", "cuda") + + Returns: + HuggingFaceEmbeddings: A configured HuggingFace embeddings model instance + with remote code trust enabled and embedding normalization disabled + """ + return HuggingFaceEmbeddings( + model_name=model_id, + model_kwargs={"device": device, "trust_remote_code": True}, + encode_kwargs={"normalize_embeddings": False}, + ) diff --git a/src/second_brain_online/application/rag/retrievers.py b/src/second_brain_online/application/rag/retrievers.py new file mode 100644 index 0000000000000000000000000000000000000000..2adff2182f52dce7195cd86f747885dcfb9a1726 --- /dev/null +++ b/src/second_brain_online/application/rag/retrievers.py @@ -0,0 +1,83 @@ +from typing import Literal, Union + +from langchain_mongodb import MongoDBAtlasVectorSearch +from langchain_mongodb.retrievers import ( + MongoDBAtlasHybridSearchRetriever, + MongoDBAtlasParentDocumentRetriever, +) +from loguru import logger + +from second_brain_online.config import settings + +from .embeddings import EmbeddingModelType, EmbeddingsModel, get_embedding_model +from .splitters import get_splitter + +# Add these type definitions at the top of the file +RetrieverType = Literal["contextual", "parent"] +RetrieverModel = Union[ + MongoDBAtlasHybridSearchRetriever, MongoDBAtlasParentDocumentRetriever +] + + +def get_retriever( + embedding_model_id: str, + embedding_model_type: EmbeddingModelType = "huggingface", + retriever_type: RetrieverType = "contextual", + k: int = 3, + device: str = "cpu", +) -> RetrieverModel: + logger.info( + f"Getting '{retriever_type}' retriever for '{embedding_model_type}' - '{embedding_model_id}' on '{device}' " + f"with {k} top results" + ) + + embedding_model = get_embedding_model( + embedding_model_id, embedding_model_type, device + ) + + if retriever_type == "contextual": + return get_hybrid_search_retriever(embedding_model, k) + elif retriever_type == "parent": + return get_parent_document_retriever(embedding_model, k) + else: + raise ValueError(f"Invalid retriever type: {retriever_type}") + + +def get_hybrid_search_retriever( + embedding_model: EmbeddingsModel, k: int +) -> MongoDBAtlasHybridSearchRetriever: + vectorstore = MongoDBAtlasVectorSearch.from_connection_string( + connection_string=settings.MONGODB_URI, + embedding=embedding_model, + namespace=f"{settings.MONGODB_DATABASE_NAME}.{settings.MONGODB_COLLECTION_NAME}", + text_key="chunk", + embedding_key="embedding", + relevance_score_fn="dotProduct", + ) + + retriever = MongoDBAtlasHybridSearchRetriever( + vectorstore=vectorstore, + search_index_name="chunk_text_search", + top_k=k, + vector_penalty=50, + fulltext_penalty=50, + ) + + return retriever + + +def get_parent_document_retriever( + embedding_model: EmbeddingsModel, k: int = 3 +) -> MongoDBAtlasParentDocumentRetriever: + retriever = MongoDBAtlasParentDocumentRetriever.from_connection_string( + connection_string=settings.MONGODB_URI, + embedding_model=embedding_model, + child_splitter=get_splitter(200), + parent_splitter=get_splitter(800), + database_name=settings.MONGODB_DATABASE_NAME, + collection_name=settings.MONGODB_COLLECTION_NAME, + text_key="chunk", + search_kwargs={"k": k}, + ) + + return retriever diff --git a/src/second_brain_online/application/rag/splitters.py b/src/second_brain_online/application/rag/splitters.py new file mode 100644 index 0000000000000000000000000000000000000000..0b9bf2c45e0366441d9eab4fcd08542149d8c1bd --- /dev/null +++ b/src/second_brain_online/application/rag/splitters.py @@ -0,0 +1,28 @@ +from langchain_text_splitters import RecursiveCharacterTextSplitter +from loguru import logger + + +def get_splitter(chunk_size: int) -> RecursiveCharacterTextSplitter: + """Returns a token-based text splitter with overlap. + + Args: + chunk_size: Number of tokens for each text chunk. + summarization_type: Type of summarization to use ("contextual" or "simple"). + **kwargs: Additional keyword arguments passed to the summarization agent. + + Returns: + RecursiveCharacterTextSplitter: A configured text splitter instance with + summarization capabilities. + """ + + chunk_overlap = int(0.15 * chunk_size) + + logger.info( + f"Getting splitter with chunk size: {chunk_size} and overlap: {chunk_overlap}" + ) + + return RecursiveCharacterTextSplitter.from_tiktoken_encoder( + encoding_name="cl100k_base", + chunk_size=chunk_size, + chunk_overlap=chunk_overlap, + ) diff --git a/src/second_brain_online/application/ui/__init__.py b/src/second_brain_online/application/ui/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..51a8744251fe5bb9e4096196e99d1c68e52bbd6a --- /dev/null +++ b/src/second_brain_online/application/ui/__init__.py @@ -0,0 +1,3 @@ +from .custom_gradio_ui import CustomGradioUI + +__all__ = ["CustomGradioUI"] diff --git a/src/second_brain_online/application/ui/custom_gradio_ui.py b/src/second_brain_online/application/ui/custom_gradio_ui.py new file mode 100644 index 0000000000000000000000000000000000000000..835dd9a5597076ef367df9ff3f89d60036f450d1 --- /dev/null +++ b/src/second_brain_online/application/ui/custom_gradio_ui.py @@ -0,0 +1,287 @@ +import json +import re +from typing import Any, Dict, List, Tuple + +import gradio as gr +from smolagents import ToolCallingAgent + + +class CustomGradioUI: + """Custom Gradio UI for better formatting of agent responses with source attribution.""" + + def __init__(self, agent: ToolCallingAgent): + self.agent = agent + self.setup_ui() + + def setup_ui(self): + """Setup the Gradio interface with custom components.""" + with gr.Blocks( + title="Second Brain AI Assistant", + theme=gr.themes.Soft(), + css=""" + .source-card { + border: 1px solid #e0e0e0; + border-radius: 8px; + padding: 12px; + margin: 8px 0; + background-color: #f8f9fa; + } + .source-title { + font-weight: bold; + color: #2c3e50; + margin-bottom: 4px; + } + .source-date { + font-size: 0.9em; + color: #6c757d; + margin-bottom: 8px; + } + .answer-section { + background-color: #ffffff; + border: 1px solid #dee2e6; + border-radius: 8px; + padding: 16px; + margin-bottom: 16px; + } + .tool-usage { + background-color: #e3f2fd; + border-left: 4px solid #2196f3; + padding: 8px 12px; + margin: 8px 0; + border-radius: 4px; + font-size: 0.9em; + } + """ + ) as self.interface: + + gr.Markdown("# 🧠 Second Brain AI Assistant") + gr.Markdown("Ask questions about your documents and get AI-powered insights with source attribution.") + + with gr.Row(): + with gr.Column(scale=4): + self.query_input = gr.Textbox( + label="Ask a question", + placeholder="What pricing objections were raised in the meetings?", + lines=2 + ) + with gr.Column(scale=1): + self.submit_btn = gr.Button("Ask", variant="primary", size="lg") + + with gr.Row(): + with gr.Column(): + self.answer_output = gr.HTML(label="Answer") + self.sources_output = gr.HTML(label="Sources") + self.tools_output = gr.HTML(label="Tools Used") + + with gr.Accordion("🔍 Debug: Raw Response", open=False): + self.debug_output = gr.Textbox( + label="Raw Agent Response", + lines=10, + max_lines=20, + interactive=False + ) + + # Event handlers + self.submit_btn.click( + fn=self.process_query, + inputs=[self.query_input], + outputs=[self.answer_output, self.sources_output, self.tools_output, self.debug_output] + ) + + self.query_input.submit( + fn=self.process_query, + inputs=[self.query_input], + outputs=[self.answer_output, self.sources_output, self.tools_output, self.debug_output] + ) + + def process_query(self, query: str) -> Tuple[str, str, str, str]: + """Process the user query and return formatted response components.""" + if not query.strip(): + return "", "", "", "" + + try: + # Run the agent + result = self.agent.run(query) + + # Parse the result + answer, sources, tools_used = self.parse_agent_response(result) + + # Debug information + print(f"DEBUG - Raw result: {str(result)[:200]}...") + print(f"DEBUG - Parsed answer: {answer[:100]}...") + print(f"DEBUG - Sources found: {len(sources)}") + print(f"DEBUG - Tools found: {tools_used}") + + # Format outputs + answer_html = self.format_answer(answer) + sources_html = self.format_sources(sources) + tools_html = self.format_tools(tools_used) + debug_text = str(result) + + return answer_html, sources_html, tools_html, debug_text + + except Exception as e: + error_msg = f"
Error: {str(e)}
" + return error_msg, "", "", str(e) + + def parse_agent_response(self, result: Any) -> Tuple[str, List[Dict], List[str]]: + """Parse the agent response to extract answer, sources, and tools used.""" + answer = "" + sources = [] + tools_used = [] + + # Convert result to string if it's not already + result_str = str(result) + + # Extract tool usage from the result first + # Pattern 1: 🛠️ Used tool toolname + tool_pattern1 = r'🛠️ Used tool (\w+)' + tool_matches1 = re.findall(tool_pattern1, result_str) + + # Pattern 2: Calling tool: 'toolname' + tool_pattern2 = r"Calling tool:\s*'([^']+)'" + tool_matches2 = re.findall(tool_pattern2, result_str) + + # Combine both patterns + all_tool_matches = tool_matches1 + tool_matches2 + tools_used = list(set(all_tool_matches)) # Remove duplicates + + # Try multiple patterns to extract the answer + # Pattern 1: JSON format with "answer" key + json_match = re.search(r'{"answer":\s*"([^"]+)"}', result_str) + if json_match: + answer = json_match.group(1) + # Unescape the JSON string + answer = answer.replace('\\n', '\n').replace('\\"', '"') + else: + # Pattern 2: Look for "Final answer:" followed by content + final_answer_match = re.search(r'Final answer:\s*(.+?)(?=\n\n|\Z)', result_str, re.DOTALL) + if final_answer_match: + answer = final_answer_match.group(1).strip() + # Try to extract JSON from final answer + json_in_final = re.search(r'{"answer":\s*"([^"]+)"}', answer) + if json_in_final: + answer = json_in_final.group(1).replace('\\n', '\n').replace('\\"', '"') + else: + # Pattern 3: Use the entire result as answer if no specific pattern matches + answer = result_str + + # Extract sources from the answer text using multiple patterns + # Pattern 1: (Document: "Title", Date) + source_pattern1 = r'\(Document:\s*"([^"]+)",\s*([^)]+)\)' + source_matches1 = re.findall(source_pattern1, answer) + + # Pattern 2: (Document: Title, Date) - without quotes + source_pattern2 = r'\(Document:\s*([^,]+),\s*([^)]+)\)' + source_matches2 = re.findall(source_pattern2, answer) + + # Pattern 3: (Document 1, Date) - numbered format + source_pattern3 = r'\(Document\s+(\d+),\s*([^)]+)\)' + source_matches3 = re.findall(source_pattern3, answer) + + # Pattern 4: (from "Title" on Date) - new format seen in output + source_pattern4 = r'\(from\s+"([^"]+)"\s+on\s+([^)]+)\)' + source_matches4 = re.findall(source_pattern4, answer) + + # Pattern 5: (from "Title" on Date) - without quotes + source_pattern5 = r'\(from\s+([^"]+)\s+on\s+([^)]+)\)' + source_matches5 = re.findall(source_pattern5, answer) + + # Combine all patterns + all_source_matches = source_matches1 + source_matches2 + source_matches3 + source_matches4 + source_matches5 + + for doc_title, doc_date in all_source_matches: + # Clean up the title and date + clean_title = doc_title.strip().strip('"') + clean_date = doc_date.strip() + + # Handle numbered documents (Document 1, Document 2, etc.) + if clean_title.isdigit(): + clean_title = f"Document {clean_title}" + + sources.append({ + "title": clean_title, + "date": clean_date + }) + + # Remove duplicates based on title and date + unique_sources = [] + seen = set() + for source in sources: + key = (source["title"], source["date"]) + if key not in seen: + seen.add(key) + unique_sources.append(source) + + return answer, unique_sources, tools_used + + def format_answer(self, answer: str) -> str: + """Format the answer with proper HTML structure.""" + if not answer: + return "

No answer provided.

" + + # Remove source references from the answer text for cleaner display + answer = re.sub(r'\(Document:[^)]+\)', '', answer) + + # Clean up extra whitespace + answer = re.sub(r'\s+', ' ', answer).strip() + + # Format numbered lists and bullet points + answer = re.sub(r'\n\s*\d+\.\s*', '

', answer) # Numbered lists + answer = re.sub(r'\n\s*•\s*', '
• ', answer) # Bullet points + answer = re.sub(r'\n\s*-\s*', '
• ', answer) # Dash points + + # Format bold text (markdown style) + answer = re.sub(r'\*\*(.*?)\*\*', r'\1', answer) + + # Format line breaks + answer = answer.replace('\n', '
') + + # Clean up multiple line breaks + answer = re.sub(r'(
){3,}', '

', answer) + + return f""" +
+

📝 Answer

+
{answer}
+
+ """ + + def format_sources(self, sources: List[Dict]) -> str: + """Format the sources with proper HTML structure.""" + if not sources: + return "

📚 Sources

No sources found.

" + + sources_html = "

📚 Sources

" + + for i, source in enumerate(sources, 1): + sources_html += f""" +
+
{i}. {source['title']}
+
📅 {source['date']}
+
+ """ + + sources_html += "
" + return sources_html + + def format_tools(self, tools_used: List[str]) -> str: + """Format the tools used with proper HTML structure.""" + if not tools_used: + return "

🛠️ Tools Used

No tools used.

" + + tools_html = "

🛠️ Tools Used

" + + for tool in tools_used: + tools_html += f""" +
+ 🔧 {tool.replace('_', ' ').title()} +
+ """ + + tools_html += "
" + return tools_html + + def launch(self, **kwargs): + """Launch the Gradio interface.""" + return self.interface.launch(**kwargs) diff --git a/src/second_brain_online/config.py b/src/second_brain_online/config.py new file mode 100644 index 0000000000000000000000000000000000000000..73c320441fe0572a25c1f6d78061aea8072808d8 --- /dev/null +++ b/src/second_brain_online/config.py @@ -0,0 +1,76 @@ +from loguru import logger +from pydantic import Field, field_validator +from pydantic_settings import BaseSettings, SettingsConfigDict + + +class Settings(BaseSettings): + """ + A Pydantic-based settings class for managing application configurations. + """ + + # --- Pydantic Settings --- + model_config: SettingsConfigDict = SettingsConfigDict( + env_file=".env", env_file_encoding="utf-8" + ) + + # --- Comet ML & Opik Configuration --- + COMET_API_KEY: str | None = Field( + default=None, description="API key for Comet ML and Opik services." + ) + COMET_PROJECT: str = Field( + default="second_brain_course", + description="Project name for Comet ML and Opik tracking.", + ) + + # --- Hugging Face Configuration --- + HUGGINGFACE_ACCESS_TOKEN: str | None = Field( + default=None, description="Access token for Hugging Face API authentication." + ) + USE_HUGGINGFACE_DEDICATED_ENDPOINT: bool = Field( + default=False, + description="Whether to use the dedicated endpoint for summarizing responses. If True, we will use the dedicated endpoint instead of OpenAI.", + ) + HUGGINGFACE_DEDICATED_ENDPOINT: str | None = Field( + default=None, + description="Dedicated endpoint URL for real-time inference. " + "If provided, we will use the dedicated endpoint instead of OpenAI. " + "For example, https://um18v2aeit3f6g1b.eu-west-1.aws.endpoints.huggingface.cloud/v1/, " + "with /v1 after the endpoint URL.", + ) + + # --- MongoDB Atlas Configuration --- + MONGODB_DATABASE_NAME: str = Field( + default="second_brain_course", + description="Name of the MongoDB database.", + ) + MONGODB_COLLECTION_NAME: str = Field( + default="rag", + description="Name of the MongoDB collection for RAG documents.", + ) + MONGODB_URI: str = Field( + default="mongodb+srv://contextdb:HOqIgSH01CoEiMb1@cluster0.d9cmff.mongodb.net/", + description="Connection URI for the MongoDB Atlas instance.", + ) + + # --- OpenAI API Configuration --- + OPENAI_API_KEY: str = Field( + description="API key for OpenAI service authentication.", + ) + OPENAI_MODEL_ID: str = Field( + default="gpt-4o", description="Identifier for the OpenAI model to be used." + ) + + @field_validator("OPENAI_API_KEY") + @classmethod + def check_not_empty(cls, value: str, info) -> str: + if not value or value.strip() == "": + logger.error(f"{info.field_name} cannot be empty.") + raise ValueError(f"{info.field_name} cannot be empty.") + return value + + +try: + settings = Settings() +except Exception as e: + logger.error(f"Failed to load configuration: {e}") + raise SystemExit(e) diff --git a/src/second_brain_online/opik_utils.py b/src/second_brain_online/opik_utils.py new file mode 100644 index 0000000000000000000000000000000000000000..6b0aa8df83f82f443de1bd4c44c3cbc312fd8330 --- /dev/null +++ b/src/second_brain_online/opik_utils.py @@ -0,0 +1,77 @@ +import os + +import opik +from loguru import logger +from opik.configurator.configure import OpikConfigurator + +from second_brain_online.config import settings + + +def configure() -> None: + if settings.COMET_API_KEY and settings.COMET_PROJECT: + try: + client = OpikConfigurator(api_key=settings.COMET_API_KEY) + default_workspace = client._get_default_workspace() + except Exception: + logger.warning( + "Default workspace not found. Setting workspace to None and enabling interactive mode." + ) + default_workspace = None + + os.environ["OPIK_PROJECT_NAME"] = settings.COMET_PROJECT + + opik.configure( + api_key=settings.COMET_API_KEY, + workspace=default_workspace, + use_local=False, + force=True, + ) + logger.info( + f"Opik configured successfully using workspace '{default_workspace}'" + ) + else: + logger.warning( + "COMET_API_KEY and COMET_PROJECT are not set. Set them to enable prompt monitoring with Opik (powered by Comet ML)." + ) + + +def get_or_create_dataset(name: str, prompts: list[str]) -> opik.Dataset | None: + client = opik.Opik() + try: + dataset = client.get_dataset(name=name) + except Exception: + dataset = None + + if dataset: + logger.warning(f"Dataset '{name}' already exists. Skipping dataset creation.") + + return dataset + + assert prompts, "Prompts are required to create a dataset." + + dataset_items = [] + for prompt in prompts: + dataset_items.append( + { + "input": prompt, + } + ) + + dataset = create_dataset( + name=name, + description="Dataset for evaluating the agentic app.", + items=dataset_items, + ) + + return dataset + + +def create_dataset(name: str, description: str, items: list[dict]) -> opik.Dataset: + client = opik.Opik() + + dataset = client.get_or_create_dataset(name=name, description=description) + dataset.insert(items) + + dataset = client.get_dataset(name=name) + + return dataset diff --git a/tools/app.py b/tools/app.py new file mode 100644 index 0000000000000000000000000000000000000000..f6f10481bdf61105608b2d2dc9ac699e70d8185d --- /dev/null +++ b/tools/app.py @@ -0,0 +1,50 @@ +from pathlib import Path + +import click + +from second_brain_online.application.agents import get_agent +from second_brain_online.application.ui import CustomGradioUI + + +@click.command() +@click.option( + "--retriever-config-path", + type=click.Path(exists=True), + required=True, + help="Path to the retriever config file", +) +@click.option( + "--ui", + is_flag=True, + default=False, + help="Launch with Gradio UI instead of CLI mode", +) +@click.option( + "--query", + "-q", + type=str, + default="What is the feature/training/inference (FTI) pipelines architecture?", + help="Query to run in CLI mode", +) +def main(retriever_config_path: Path, ui: bool, query: str) -> None: + """Run the agent either in Gradio UI or CLI mode. + + Args: + ui: If True, launches Gradio UI. If False, runs in CLI mode + query: Query string to run in CLI mode + """ + agent = get_agent(retriever_config_path=Path(retriever_config_path)) + if ui: + # Get the actual agent from the wrapper + actual_agent = agent._AgentWrapper__agent + CustomGradioUI(actual_agent).launch() + else: + assert query, "Query is required in CLI mode" + + result = agent.run(query) + + print(result) + + +if __name__ == "__main__": + main() diff --git a/tools/evaluate_app.py b/tools/evaluate_app.py new file mode 100644 index 0000000000000000000000000000000000000000..e61c48a02f8d7276e88ab4a408ec5fac5e5b238f --- /dev/null +++ b/tools/evaluate_app.py @@ -0,0 +1,66 @@ +from pathlib import Path +from typing import List + +import click + +from second_brain_online.application.evaluation import evaluate_agent + +EVALUATION_PROMPTS: List[str] = [ + """ +Write me a paragraph on the feature/training/inference (FTI) pipelines architecture following the next structure: + +- introduction +- what are its main components +- why it's powerful + +Retrieve the sources when compiling the answer. Also, return the sources you used as context. +""", + "What is the feature/training/inference (FTI) pipelines architecture?", + "What is the Tensorflow Recommenders Python package?", + """How does RLHF: Reinforcement Learning from Human Feedback work? + +Explain to me: +- what is RLHF +- how it works +- why it's important +- what are the main components +- what are the main challenges +""", + "List 3 LLM frameworks for building LLM applications and why they are important.", + "Explain how does Bidirectional Encoder Representations from Transformers (BERT) work. Focus on what architecture it uses, how it's different from other models and how they are trained.", + "List 5 ways or tools to process PDFs for LLMs and RAG", + """How can I optimize my LLMs during inference? + +Provide a list of top 3 best practices, while providing a short explanation for each, which contains why it's important. +""", + "Explain to me in more detail how does an Agent memory work and why do we need it when building Agentic apps.", + "What is the difference between a vector database and a vector index?", + "Recommend me a course on LLMs and RAG", + "How Document Chunk overlap affects a RAG pipeline and it's performance?", + """What is the importance of reranking chunks for RAG? +Explain to me: +- what is reranking +- how it works +- why it's important +- what are the main components +- what are the main trade-offs +""", + "List the most popular advanced RAG techniques to optimize RAG performance and why they are important.", + "List what are the main ways of evaluating a RAG pipeline and why they are important.", +] + + +@click.command() +@click.option( + "--retriever-config-path", + type=click.Path(exists=True, path_type=Path), + required=True, + help="Path to the retriever configuration file", +) +def main(retriever_config_path: Path) -> None: + """Evaluate agent with custom retriever configuration.""" + evaluate_agent(EVALUATION_PROMPTS, retriever_config_path=retriever_config_path) + + +if __name__ == "__main__": + main() diff --git a/uv.lock b/uv.lock new file mode 100644 index 0000000000000000000000000000000000000000..0325544f52d0667d69a1386a81007f8ea9c777b6 --- /dev/null +++ b/uv.lock @@ -0,0 +1,3088 @@ +version = 1 +revision = 3 +requires-python = ">=3.11" +resolution-markers = [ + "python_full_version < '3.12'", + "python_full_version >= '3.12' and python_full_version < '3.12.4'", + "python_full_version >= '3.12.4' and python_full_version < '3.13'", + "python_full_version >= '3.13'", +] + +[[package]] +name = "aiofiles" +version = 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