from __future__ import annotations

from collections.abc import Mapping, Sequence

from chromadb import QueryResult

from chromy.chroma_functions import add_data, query_data
from chromy.chunk_functions import chunk_file
from chromy.embed import embed


def print_lines(lines: Sequence[str]) -> None:
    for line in lines:
        print(line)


def ingest_file(collection_name: str, file_path: str) -> int:
    chunks = chunk_file(file_path)
    embeddings = embed(chunks)
    add_data(collection_name, embeddings, file_path)
    return len(embeddings)


def run_query(collection_name: str, query_text: str) -> QueryResult:
    return query_data(collection_name, [query_text])


def format_query_result(result: QueryResult) -> list[str]:
    ids = result.get("ids", [[]])
    documents = result.get("documents", [[]])
    distances = result.get("distances", [[]])
    metadatas = result.get("metadatas", [[]])

    first_ids = ids[0] if ids else []
    first_documents = documents[0] if documents else []
    first_distances = distances[0] if distances else []
    first_metadatas = metadatas[0] if metadatas else []

    if not first_ids:
        return ["No results found."]

    lines = ["Query results:"]

    for index, document_id in enumerate(first_ids, start=1):
        lines.append(f"{index}.\tid: {document_id}")
        i = index - 1

        if i < len(first_distances):
            lines.append(f"\tdistance: {first_distances[i]}")

        if i < len(first_metadatas):
            metadata = first_metadatas[i]

            if isinstance(metadata, Mapping):
                file_name = metadata.get("file_name")

                if file_name:
                    lines.append(f"\tfile_name: {file_name}")

        if i < len(first_documents):
            lines.append(f"\tdocument: {first_documents[i]}")

        # Print a separator between documents
        lines.append(60 * "-")

    return lines