from typing import Dict, List, Tuple
from lxml import etree
import json
from collections import defaultdict
# from src.annotation_types_old import 
from src.input_parsers.interface import InputParser
from src.annotations import Annotation, MorphosyntacticAnnotation, NerAnnotation

class WiktorNERInputParser(InputParser):
    def __init__(self) -> None:
        super().__init__()
        
    def parse(self, content: str) -> Tuple[str, List[Tuple[int, int, Annotation]]]:
        """Parse wiktorner file into text and annotations.

        Annotations are returned as a dictionary with channel name as a key and list of tuples.

        Args:
            co z  (str): Path to file containing CCL.

        Returns:
            Tuple[str, List[Tuple[int, int, Annotation]]]: Text and annotations.
        """
        content_parsed = json.loads(content)
        
        if "text" in content_parsed:
            text = content_parsed['text']
        else: 
            text = ""
            
        annotations = []
            
        # Morphosyntactic annotations
        if "tokens" in content_parsed:
            for token in content_parsed['tokens']:
                if "position" in token:
                    token_start, token_end = token['position']
                    if "lexemes" in token:
                        for lexeme in token['lexemes']:
                            if "disamb" in lexeme and lexeme['disamb'] == True:
                                if "mstag" in lexeme:
                                    annotations.append((token_start, token_end, MorphosyntacticAnnotation(lexeme['mstag'])))
            
        # NER annotations
        if "entities" in content_parsed:
            for entity in content_parsed['entities']:
                if "positions" in entity:
                    entity_start, entity_end = entity['positions']
                    if "type" in entity:
                        annotations.append((entity_start, entity_end, NerAnnotation(entity['type'])))
        
                
        return text, annotations