#!/bin/bash
# docker-entrypoint.sh

export USERNAME=${USERNAME:-devuser}

export WORKSPACE=${WORKSPACE:-/workspace}
export LOCAL_LLM_API=${LOCAL_LLM_API:-http://host.docker.internal:1248/v1}
export LLM_MODEL=${LLM_MODEL:-'ollama:qwen/qwen3-coder-next@4bit'}
export ORLA_OLLAMA_HOST=$(sed -E 's@(https?://[^/]+).*$@\1@' <<< $LOCAL_LLM_API)
export MAXTOKEN=${MAXTOKEN:-4096}
export NUM_CTX=${NUM_CTX:-32768}
export REPEAT_PENALTY=${REPEAT_PENALTY:-1.3}
export TEMPERATURE=${TEMPERATURE:-0.5}
export TOP_P=${TOP_P:-0.95}
export TOP_K=${TOP_K:-40}
export STOP=${STOP:-"[\"</s>\", \"\\n\\n\", \"def \", \"class \"]"}

# --- Initialise .ai_index si nécessaire ---
if [ ! -d "/workspace/.ai_index" ]; then
    mkdir -p /workspace/.ai_index/ast
    mkdir -p /workspace/.ai_index/embeddings
    touch /workspace/.ai_index/graph.db
fi

# --- Configure LOCAL_LLM_API pour Bash ---
if [ -n "$LOCAL_LLM_API" ]; then
    if ! grep -q "LOCAL_LLM_API" /home/${USERNAME}/.bashrc; then
        echo "export LOCAL_LLM_API=$LOCAL_LLM_API" >> /home/${USERNAME}/.bashrc
        echo "export ORLA_OLLAMA_HOST=$ORLA_OLLAMA_HOST" >> /home/${USERNAME}/.bashrc
        echo "export ORLA_MODEL='${LLM_MODEL}'" >> /home/${USERNAME}/.bashrc
    fi

    mkdir -p /home/${USERNAME}/.config/opencode
    CONFIG_FILE=/home/${USERNAME}/.config/opencode/opencode.json

    cat > $CONFIG_FILE <<EOF
{
    "\$schema": "https://opencode.ai/config.json",
    "mcp": {
        "go-lsp-tools": {
            "type": "local",
            "command": ["mcp-language-server",
     	          "--workspace", "$WORKSPACE",
        		  "--lsp", "gopls"
            ],
            "enabled": true,
            "environment": {
                "GOPATH": "$GOPATH"
            }
        },
        "python-lsp-tools": {
            "type": "local",
            "command": ["mcp-language-server",
     	          "--workspace", "$WORKSPACE",
        		  "--lsp", "pyright-langserver",
        		  "--", "--stdio"
            ],
            "enabled": true
        },
        "rust-lsp-tools": {
            "type": "local",
            "command": ["mcp-language-server",
     	          "--workspace", "$WORKSPACE",
        		  "--lsp", "$(find /usr/local/rustup/toolchains -type f -name rust-analyzer)"
            ],
            "enabled": true
        },
        "typescript-lsp-tools": {
            "type": "local",
            "command": ["mcp-language-server",
     	          "--workspace", "$WORKSPACE",
        		  "--lsp", "typescript-language-server",
        		  "--", "--stdio"
            ],
            "enabled": true
        },
    },
    "provider": {
    "lmstudio": {
        "npm": "@ai-sdk/openai-compatible",
        "name": "LM Studio (local)",
        "options": {
        "baseURL": "$LOCAL_LLM_API",
        "apiKey": ""
        },
        "models": {
        "qwen/qwen3-coder-next@4bit": {
            "name": "Qwen 3 Coder Next 80B — (LLMStudio ; 4-bit)",
            "limit": {
            "context": 200000,
            "output": 65536
            },
            "settings": {
            "temperature": $TEMPERATURE,
            "top_p": $TOP_P,
            "top_k": $TOP_K,
            "max_tokens": ${MAXTOKEN},
            "num_ctx": ${NUM_CTX},
            "repeat_penalty": ${REPEAT_PENALTY},
            "stop": ${STOP}
            }
        },
        "qwen/qwen3-coder-next@6bit": {
            "name": "Qwen 3 Coder Next 80B — (LLMStudio ; 6-bit)",
            "limit": {
            "context": 200000,
            "output": 65536
            },
            "settings": {
            "temperature": $TEMPERATURE,
            "top_p": $TOP_P,
            "top_k": $TOP_K,
            "max_tokens": ${MAXTOKEN},
            "num_ctx": ${NUM_CTX},
            "repeat_penalty": ${REPEAT_PENALTY},
            "stop": ${STOP}
            }
        }
        }
    }
    },
    "model": "${LLM_MODEL}"
}
EOF

    chown ${USERNAME}:${USERNAME} ${CONFIG_FILE}
fi

# --- Force Bash comme shell par défaut ---
if [ -z "$1" ]; then
    exec /bin/bash
else
    exec "$@"
fi