"""
    Process files generated by iTunesParser to fill a suggester index.
    Suggester index in ELS must be created before use.

    Found suggester.es query to create index.
"""

import sys
import json
import requests

ELS_URL = 'http://localhost:9200'
INDEX = 'itunes-suggest'

class NoGoodDataException(Exception):
    """ Raise when data can't be correctly analyzed """

def get_tokens(data: str) -> list:
    """
        Query Elasticsearch to get token for a string with a specific analyzer.
        Throw an exception if no token found in ELS response.
        Parameters
        ----------
        data: string
            String to be analysed to obtain the tokens
        Returns
        -------
        list
            A list of token
        Raises
        ------
        NoGoodDataException
            If no tokens are found in the ELS responses, consider that the data is not correct for analysis.
    """
    if not data:
        return []
    query = {
        "analyzer": "names", # TODO Parameterize analyzer ?
        "text" : data
    }

    url = '{}/{}/_analyze'.format(ELS_URL, INDEX)
    req = requests.get(url, json=query)

    if not 'tokens' in req.json():
        print('ERROR: Not tokens in result')
        print('Input: ' + str(data))
        print('Request: ' + str(req.json()))
        raise NoGoodDataException('Data is not correct to get tokens')
    return [t['token'] for t in req.json()['tokens']]

def post_document(main_field_value: str, input_terms: list, main_field_name: str) -> str:
    """
        Create suggestion document in Elasticsearch.

        Parameters
        ----------
        main_field_value : str
            Value to put in the main field named by `main_field_name`
        input_terms : list
            List of suggestion term to put in document
        main_field_name : str
            Name of the main field, to fill with `main_field_value`

        Returns
        -------
        str
            Success: ID of created document
            Fail (ret. status <> 201): None
    """
    suggest_name = main_field_name + '_suggest'
    element = {
        main_field_name: main_field_value,
        suggest_name: input_terms
    }

    # Filter empty keys
    # element = {k: v for k, v in element.items() if v}

    url = '{}/{}/_doc'.format(ELS_URL, INDEX)
    resp = requests.post(url, json=element)
    if resp.status_code != 201:
        print('ELS Response KO')
        print(resp.status_code)
        print(resp.text)
        return None

    el_id = resp.json()['_id']
    # print('Post_element - Element created: ' + el_id)
    return el_id

def process_file(file_name: str, field_name: str, array_file: str = None) -> int:
    """
        Process a JSON file with data

        Parameters
        ----------
        file_name: string
            Path and name of file to analyze
        field_name: string
            Name of the field where to find the data to create the suggestion entries
        array_file: string, Default: None
            Name of an array field to analyze to create more suggestion entries.
            Nothing if None
    """
    print('Process file: ' + file_name)
    with open(file_name, 'r') as o_file:
        lines = o_file.readlines()

    count = 0
    i = 0
    for line in lines:
        i += 1
        sys.stdout.write(str(int((i/len(lines))*100)) + '%')
        sys.stdout.flush()
        sys.stdout.write("\b" * (40+1)) # return to start of line, after '['
        data = json.loads(line)
        if not "index" in data: # Exclude index line
            try:
                suggests_entries = get_tokens(data[field_name])

                if array_file and array_file in data and data[array_file]:
                    for key in data[array_file]:
                        suggests_entries.extend(get_tokens(key))

                # TODO Input have the same value several times ==> use to process a score
                post_document(main_field_value=data[field_name], input_terms=suggests_entries, main_field_name=field_name.lower())
                count += 1
            except NoGoodDataException:
                print('ERROR WITH DATA')
                print(str(data))
    print('File processed\n')
    return count


if __name__ == '__main__':
    created_docs = 0
    created_docs += process_file('/home/budd/workspace/iTunes/es-albums.json', 'Album')
    print('Created documents: ' + str(created_docs))
    created_docs += process_file('/home/budd/workspace/iTunes/es-artists.json', 'Artist', 'Album Artist')
    print('Created documents: ' + str(created_docs))
    # TODO Created doc <> nb doc in ELS