import json
import os
import urllib.error
import urllib.request
from typing import Dict


def structure_to_json(text: str, schema: Dict) -> Dict:
    """
    Convert structured text to JSON using LOCAL_LLM_API.

    Args:
        text (str): The structured text to convert
        schema (dict): The JSON schema to use for conversion

    Returns:
        dict: The parsed JSON object
    """
    # Get the API URL from environment variable
    local_llm_api = os.environ.get(
        "LOCAL_LLM_API", "http://host.docker.internal:1248/v1"
    )

    # Format the schema as JSON string
    schema_json = json.dumps(schema, indent=2)

    # Create the prompt following the pattern from jj-ai-commit.sh
    prompt_text = f"""Analyse this text and respond ONLY with a valid JSON object matching the schema.

Text:
{text}

Schema:
{schema_json}"""

    # Build the request body
    request_body = {
        "model": "qwen3-coder",
        "messages": [{"role": "user", "content": prompt_text}],
    }

    # Build the URL
    url = f"{local_llm_api}/chat/completions"

    # Create the request
    data = json.dumps(request_body).encode("utf-8")
    req = urllib.request.Request(
        url, data=data, headers={"Content-Type": "application/json"}, method="POST"
    )

    try:
        # Execute the request
        with urllib.request.urlopen(req) as response:
            result = json.loads(response.read().decode("utf-8"))
    except urllib.error.URLError as e:
        return {"error": f"API request failed: {e}", "raw_response": ""}
    except json.JSONDecodeError as e:
        return {"error": f"Failed to parse response: {e}", "raw_response": ""}

    try:
        content = result.get("choices", [{}])[0].get("message", {}).get("content", "")

        # Clean markdown backticks from response
        clean_content = content.strip()
        while clean_content.startswith("`") or clean_content.startswith("```"):
            clean_content = clean_content[1:].strip()
        while clean_content.endswith("`") or clean_content.endswith("```"):
            clean_content = clean_content[:-1].strip()

        # Parse the JSON content
        return json.loads(clean_content)
    except (json.JSONDecodeError, KeyError, IndexError) as e:
        return {
            "error": f"Failed to parse JSON: {e}",
            "raw_response": json.dumps(result),
        }