#!/usr/bin/env bash
set -e

# @meta dotenv
# @env DRY_RUN Dry run mode

# @cmd Test first running
# @env AICHAT_CONFIG_DIR=tmp/test-init-config
# @arg args~
test-init-config() {
    unset OPENAI_API_KEY
    mkdir -p "$AICHAT_CONFIG_DIR"
    config_file="$AICHAT_CONFIG_DIR/config.yaml"
    if [[ -f "$config_file" ]]; then
        rm -f "$config_file"
    fi
    cargo run -- "$@"
}

# @cmd Test running with AICHAT_PLATFORM environment variable
# @env AICHAT_PLATFORM!
# @arg args~
test-platform-env() {
    cargo run -- "$@"
}

# @cmd Test clients
# @arg clients+[`_choice_client`]
test-clients() {
    for c in "${argc_clients[@]}"; do
        echo "### $c stream"
        aichat -m "$c" 1 + 2 = ?
        echo "### $c non-stream"
        aichat -m "$c" -S 1 + 2 = ?
    done
}

# @cmd Test proxy server
# @option -m --model[`_choice_model`]
# @flag -S --no-stream
# @arg text~
test-server() {
    args=()
    if [[ -n "$argc_no_stream" ]]; then
        args+=("-S")
    fi
    argc chat-llm "${args[@]}" \
    --api-base http://localhost:8000/v1 \
    --model "${argc_model:-default}" \
    "$@"
}

OPENAI_COMPATIBLE_PLATFORMS=( \
  openai,gpt-3.5-turbo,https://api.openai.com/v1 \
  anyscale,meta-llama/Meta-Llama-3-8B-Instruct,https://api.endpoints.anyscale.com/v1 \
  deepinfra,meta-llama/Meta-Llama-3-8B-Instruct,https://api.deepinfra.com/v1/openai \
  fireworks,accounts/fireworks/models/llama-v3-8b-instruct,https://api.fireworks.ai/inference/v1 \
  groq,llama3-8b-8192,https://api.groq.com/openai/v1 \
  mistral,mistral-small-latest,https://api.mistral.ai/v1 \
  moonshot,moonshot-v1-8k,https://api.moonshot.cn/v1 \
  openrouter,meta-llama/llama-3-8b-instruct,https://openrouter.ai/api/v1 \
  octoai,meta-llama-3-8b-instruct,https://text.octoai.run/v1 \
  perplexity,llama-3-8b-instruct,https://api.perplexity.ai \
  together,meta-llama/Llama-3-8b-chat-hf,https://api.together.xyz/v1 \
)

# @cmd Chat with any LLM api 
# @flag -S --no-stream
# @arg platform_model![?`_choice_platform_model`]
# @arg text~
chat() {
    if [[ "$argc_platform_model" == *':'* ]]; then
        model="${argc_platform_model##*:}"
        argc_platform="${argc_platform_model%:*}"
    else
        argc_platform="${argc_platform_model}"
    fi
    for platform_config in "${OPENAI_COMPATIBLE_PLATFORMS[@]}"; do
        if [[ "$argc_platform" == "${platform_config%%,*}" ]]; then
            api_base="${platform_config##*,}"
            break
        fi
    done
    if [[ -n "$api_base" ]]; then
        env_prefix="$(echo "$argc_platform" | tr '[:lower:]' '[:upper:]')"
        api_key_env="${env_prefix}_API_KEY"
        api_key="${!api_key_env}" 
        if [[ -z "$model" ]]; then
            model="$(echo "$platform_config" | cut -d, -f2)"
        fi
        if [[ -z "$model" ]]; then
            model_env="${env_prefix}_MODEL"
            model="${!model_env}"
        fi
        argc chat-openai-compatible \
            --api-base "$api_base" \
            --api-key "$api_key" \
            --model "$model" \
            "${argc_text[@]}"
    else
        argc chat-$argc_platform "${argc_text[@]}"
    fi
}

# @cmd List models by openai-compatible api
# @arg platform![`_choice_platform`]
models() {
    for platform_config in "${OPENAI_COMPATIBLE_PLATFORMS[@]}"; do
        if [[ "$argc_platform" == "${platform_config%%,*}" ]]; then
            api_base="${platform_config##*,}"
            break
        fi
    done
    if [[ -n "$api_base" ]]; then
        env_prefix="$(echo "$argc_platform" | tr '[:lower:]' '[:upper:]')"
        api_key_env="${env_prefix}_API_KEY"
        api_key="${!api_key_env}" 
        _openai_models
    else
        argc models-$argc_platform
    fi
}

# @cmd Chat with openai-compatible api
# @option --api-base! $$ 
# @option --api-key! $$
# @option -m --model! $$
# @flag -S --no-stream
# @arg text~
chat-openai-compatible() {
    _openai_chat "$@"
}

# @cmd List models by openai-compatible api
# @option --api-base! $$
# @option --api-key! $$
models-openai-compatible() {
    _openai_models
}

# @cmd Chat with gemini api
# @env GEMINI_API_KEY!
# @option -m --model=gemini-1.0-pro-latest $GEMINI_MODEL
# @flag -S --no-stream
# @arg text~
chat-gemini() {
    method="streamGenerateContent"
    if [[ -n "$argc_no_stream" ]]; then
        method="generateContent"
    fi
    _wrapper curl -i "https://generativelanguage.googleapis.com/v1beta/models/${argc_model}:${method}?key=${GEMINI_API_KEY}" \
-i -X POST \
-H 'Content-Type: application/json' \
-d '{ 
    "safetySettings":[{"category":"HARM_CATEGORY_HARASSMENT","threshold":"BLOCK_ONLY_HIGH"},{"category":"HARM_CATEGORY_HATE_SPEECH","threshold":"BLOCK_ONLY_HIGH"},{"category":"HARM_CATEGORY_SEXUALLY_EXPLICIT","threshold":"BLOCK_ONLY_HIGH"},{"category":"HARM_CATEGORY_DANGEROUS_CONTENT","threshold":"BLOCK_ONLY_HIGH"}],
    "contents": '"$(_build_msg_gemini $*)"'
}'
}

# @cmd List gemini models
# @env GEMINI_API_KEY!
models-gemini() {
    _wrapper curl "https://generativelanguage.googleapis.com/v1beta/models?key=${GEMINI_API_KEY}" \
-H 'Content-Type: application/json' \

}

# @cmd Chat with claude api
# @env CLAUDE_API_KEY!
# @option -m --model=claude-3-haiku-20240307 $CLAUDE_MODEL
# @flag -S --no-stream
# @arg text~
chat-claude() {
    _wrapper curl -i https://api.anthropic.com/v1/messages \
-X POST \
-H 'content-type: application/json' \
-H 'anthropic-version: 2023-06-01' \
-H "x-api-key: $CLAUDE_API_KEY" \
-d '{
  "model": "'$argc_model'",
  "messages": '"$(_build_msg $*)"',
  "max_tokens": 4096,
  "stream": '$stream'
}
'
}

# @cmd Chat with cohere api
# @env COHERE_API_KEY!
# @option -m --model=command-r $COHERE_MODEL
# @flag -S --no-stream
# @arg text~
chat-cohere() {
    _wrapper curl -i https://api.cohere.ai/v1/chat \
-X POST \
-H 'Content-Type: application/json' \
-H "Authorization: Bearer $COHERE_API_KEY" \
--data '{
  "model": "'$argc_model'",
  "message": "'"$*"'",
  "stream": '$stream'
}
'
}

# @cmd List cohere models
# @env COHERE_API_KEY!
models-cohere() {
    _wrapper curl https://api.cohere.ai/v1/models \
-H "Authorization: Bearer $COHERE_API_KEY" \

}

# @cmd Chat with ollama api
# @option -m --model=codegemma $OLLAMA_MODEL
# @flag -S --no-stream
# @arg text~
chat-ollama() {
    _wrapper curl -i http://localhost:11434/api/chat \
-X POST \
-H 'Content-Type: application/json' \
-d '{
    "model": "'$argc_model'",
    "stream": '$stream',
    "messages": '"$(_build_msg $*)"'
}'
}

# @cmd Chat with vertexai-gemini api
# @env require-tools gcloud
# @env VERTEXAI_PROJECT_ID!
# @env VERTEXAI_LOCATION!
# @option -m --model=gemini-1.0-pro $VERTEXAI_GEMINI_MODEL
# @flag -S --no-stream
# @arg text~
chat-vertexai-gemini() {
    api_key="$(gcloud auth print-access-token)"
    func="streamGenerateContent"
    if [[ -n "$argc_no_stream" ]]; then
        func="generateContent"
    fi
    url=https://$VERTEXAI_LOCATION-aiplatform.googleapis.com/v1/projects/$VERTEXAI_PROJECT_ID/locations/$VERTEXAI_LOCATION/publishers/google/models/$argc_model:$func
    _wrapper curl -i $url \
-X POST \
-H "Authorization: Bearer $api_key" \
-H 'Content-Type: application/json' \
-d '{ 
    "contents": '"$(_build_msg_gemini $*)"',
    "generationConfig": {}
}'
}

# @cmd Chat with vertexai-claude api
# @env require-tools gcloud
# @env VERTEXAI_PROJECT_ID!
# @env VERTEXAI_LOCATION!
# @option -m --model=claude-3-haiku@20240307 $VERTEXAI_CLAUDE_MODEL
# @flag -S --no-stream
# @arg text~
chat-vertexai-claude() {
    api_key="$(gcloud auth print-access-token)"
    url=https://$VERTEXAI_LOCATION-aiplatform.googleapis.com/v1/projects/$VERTEXAI_PROJECT_ID/locations/$VERTEXAI_LOCATION/publishers/anthropic/models/$argc_model:streamRawPredict
    _wrapper curl -i $url \
-X POST \
-H "Authorization: Bearer $api_key" \
-H 'Content-Type: application/json' \
-d '{
  "anthropic_version": "vertex-2023-10-16",
  "messages": '"$(_build_msg $*)"',
  "max_tokens": 4096,
  "stream": '$stream'
}'
}

# @cmd Chat with bedrock api
# @meta require-tools aws
# @option -m --model=mistral.mistral-7b-instruct-v0:2 $BEDROCK_MODEL
# @env AWS_REGION=us-east-1
chat-bedrock() {
    file="$(mktemp)"
    case "$argc_model" in
        mistral.* | meta.*)
            body='{"prompt":"'"$*"'"}'
            ;;
        anthropic.*)
            body='{
  "anthropic_version": "vertex-2023-10-16",
  "messages": '"$(_build_msg $*)"',
  "max_tokens": 4096
}'
            ;;
        *)
            _die "Invalid model: $argc_model"
            ;;
    esac

    _wrapper aws bedrock-runtime invoke-model \
        --model-id $argc_model \
        --region $AWS_REGION \
        --body "$(echo "$body" | base64)" \
        "$file"
    cat "$file"
}

# @cmd Chat with cloudflare api
# @env CLOUDFLARE_API_KEY!
# @option -m --model=@cf/meta/llama-3-8b-instruct $CLOUDFLARE_MODEL
# @flag -S --no-stream
# @arg text~
chat-cloudflare() {
    url="https://api.cloudflare.com/client/v4/accounts/$CLOUDFLARE_ACCOUNT_ID/ai/run/$argc_model"
    _wrapper curl -i "$url" \
-X POST \
-H "Authorization: Bearer $CLOUDFLARE_API_KEY" \
-d '{
  "messages": '"$(_build_msg $*)"',
  "stream": '$stream'
}'
}

# @cmd Chat with replicate api
# @env REPLICATE_API_KEY!
# @option -m --model=meta/meta-llama-3-8b-instruct $REPLICATE_MODEL
# @flag -S --no-stream
# @arg text~
chat-replicate() {
    url="https://api.replicate.com/v1/models/$argc_model/predictions"
    res="$(_wrapper curl -s "$url" \
-X POST \
-H "Authorization: Bearer $REPLICATE_API_KEY" \
-H "Content-Type: application/json" \
-d '{	
    "stream": '$stream',
	"input": {
      "prompt": "'"$*"'"
	}
}')"
    echo "$res"
    if [[ -n "$argc_no_stream" ]]; then
        prediction_url="$(echo "$res" | jq -r '.urls.get')"
        while true; do
            output="$(_wrapper curl -s -H "Authorization: Bearer $REPLICATE_API_KEY" "$prediction_url")"
            prediction_status=$(printf "%s" "$output" | jq -r .status)
            if [ "$prediction_status"=="succeeded" ]; then
                echo "$output"
                break
            fi
            if [ "$prediction_status"=="failed" ]; then
                exit 1
            fi
            sleep 2
        done
    else
        stream_url="$(echo "$res" | jq -r '.urls.stream')"
    _wrapper curl -i --no-buffer "$stream_url" \
-H "Accept: text/event-stream" \

    fi

}

# @cmd Chat with ernie api
# @meta require-tools jq
# @env ERNIE_API_KEY!
# @option -m --model=ernie-tiny-8k $ERNIE_MODEL
# @flag -S --no-stream
# @arg text~
chat-ernie() {
    auth_url="https://aip.baidubce.com/oauth/2.0/token?grant_type=client_credentials&client_id=$ERNIE_API_KEY&client_secret=$ERNIE_SECRET_KEY"
    ACCESS_TOKEN="$(curl -fsSL "$auth_url" | jq -r '.access_token')"
    url="https://aip.baidubce.com/rpc/2.0/ai_custom/v1/wenxinworkshop/chat/$argc_model?access_token=$ACCESS_TOKEN"
    _wrapper curl -i "$url" \
-X POST \
-d '{
    "messages": '"$(_build_msg $*)"',
    "stream": '$stream'
}'
}


# @cmd Chat with qianwen api
# @env QIANWEN_API_KEY!
# @option -m --model=qwen-turbo $QIANWEN_MODEL
# @flag -S --no-stream
# @arg text~
chat-qianwen() {
    stream_args="-H X-DashScope-SSE:enable"
    parameters_args='{"incremental_output": true}'
    if [[ -n "$argc_no_stream" ]]; then
        stream_args=""
        parameters_args='{}'
    fi
    url=https://dashscope.aliyuncs.com/api/v1/services/aigc/text-generation/generation
    _wrapper curl -i "$url" \
-X POST \
-H "Authorization: Bearer $QIANWEN_API_KEY" \
-H 'Content-Type: application/json' $stream_args  \
-d '{
    "model": "'$argc_model'",
    "parameters": '"$parameters_args"',
    "input":{
        "messages": '"$(_build_msg $*)"'
    }
}'
}

_argc_before() {
    stream="true"
    if [[ -n "$argc_no_stream" ]]; then
        stream="false"
    fi
}

_openai_chat() {
    api_base="${api_base:-"$argc_api_base"}"
    api_key="${api_key:-"$argc_api_key"}"
    _wrapper curl -i $curl_args "$api_base/chat/completions" \
-X POST \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $api_key" \
--data '{
  "model": "'$argc_model'",
  "messages": '"$(_build_msg $*)"',
  "stream": '$stream'
}
'
}

_openai_models() {
    api_base="${api_base:-"$argc_api_base"}"
    api_key="${api_key:-"$argc_api_key"}"
    _wrapper curl $curl_args "$api_base/models" \
-H "Authorization: Bearer $api_key" \

}

_choice_model() {
    aichat --list-models
}

_choice_platform_model() {
    _choice_platform
    _choice_model
}

_choice_platform() {
    _choice_client
    _choice_openai_compatible_platform
}

_choice_client() {
    printf "%s\n" openai gemini claude cohere ollama azure-openai vertexai bedrock cloudflare replicate ernie qianwen moonshot
}

_choice_openai_compatible_platform() {
    for platform_config in "${OPENAI_COMPATIBLE_PLATFORMS[@]}"; do
        echo "${platform_config%%,*}"
    done
}

_build_msg() {
    if [[ $# -eq 0 ]]; then
        cat tmp/messages.json
    else
        echo '
[
    {
        "role": "user",
        "content": "'"$*"'"
    }
]
'
    fi
}

_build_msg_gemini() {
    if [[ $# -eq 0 ]]; then
        cat tmp/messages.gemini.json
    else
        echo '
[{
    "role": "user",
    "parts": [
        {
            "text": "'"$*"'"
        }
    ]
}]
'
    fi
}

_wrapper() {
    if [[ "$DRY_RUN" == "true" ]] || [[ "$DRY_RUN" == "1" ]]; then
        echo "$@"
    else
        "$@"
    fi
}

_die() {
    echo $*
    exit 1
}

# See more details at https://github.com/sigoden/argc
eval "$(argc --argc-eval "$0" "$@")"