"""
massdash/loaders/access/TransitionPQPDataAccess
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
"""

from typing import List
import os
import sqlite3
import pandas as pd
import streamlit as st

# Utils
from ...util import check_streamlit, conditional_decorator, check_sqlite_column_in_table, check_sqlite_table

class TransitionPQPDataAccess:
    '''
    Class to load a transition PQP file
    
    Attributes:
        conn: (sqlite3.Connection) The connection to the PQP file.
        c: (sqlite3.Cursor) The cursor for the PQP file.
        data: (pd.DataFrame) The PQP data.
    
    Methods:
        _load: Loads the PQP file.
        getTransitionList: Retrieves transition information.
        _validate_columns: Validates the PQP file has the required columns.
    '''
    REQUIRED_PQP_COLUMNS: List[str] = ['PrecursorMz', 'ProductMz', 'PrecursorCharge', 'ProductCharge',
                                   'LibraryIntensity', 'NormalizedRetentionTime', 'PeptideSequence',
                                   'ModifiedPeptideSequence', 'ProteinId', 'GeneName', 'Annotation', 'PrecursorIonMobility', 'Decoy']
    
    def __init__(self, filename: str) -> None:
        '''
        Constructor
        
        Args:
            filename: (str) The path to the transition PQP file.
        '''
        # Check that filename is either of extension .pqp or .osw
        _, file_extension = os.path.splitext(filename)
        if file_extension.lower() not in ['.pqp', '.osw']:
            raise ValueError("Unsupported file format. TransitionPQPLoader requires an sqlite-based .pqp file or .osw file.")
        self.conn = sqlite3.connect(filename, check_same_thread=False)
        self.c = self.conn.cursor()
    
    def load(_self) -> None:
        '''
        Load the transition PQP file
        '''
        _self.data = _self.getTransitionList()
        if _self._validate_columns():
            return _self.data
        else:
            raise ValueError(f"The PQP file does not have the required columns.\n {TransitionPQPDataAccess.REQUIRED_PQP_COLUMNS}.\nSupplied PQP is missing columns: {set(TransitionPQPDataAccess.REQUIRED_PQP_COLUMNS) - set(_self.data.columns)}")
        
    def getTransitionList(self):
        """
        Retrieves transition information 
        """
        # Older PQP files (<v2.4) do not have the ANNOTATION column in the TRANSITION table
        if check_sqlite_column_in_table(self.conn, "PRECURSOR", "LIBRARY_DRIFT_TIME"):
            prec_lib_drift_time_query = "PRECURSOR.LIBRARY_DRIFT_TIME AS PrecursorIonMobility,"
        else:
            prec_lib_drift_time_query = "-1 AS PrecursorIonMobility,"

        # Older PQP files do not have GENE table and PEPTIDE_GENE_MAPPING table
        if check_sqlite_table(self.conn, "GENE") and check_sqlite_table(self.conn, "PEPTIDE_GENE_MAPPING"):
            gene_select_stmt = "GENE.GENE_NAME AS GeneName,"
            gene_join_stmt = "INNER JOIN PEPTIDE_GENE_MAPPING ON PEPTIDE_GENE_MAPPING.PEPTIDE_ID = PEPTIDE.ID INNER JOIN GENE ON GENE.ID = PEPTIDE_GENE_MAPPING.GENE_ID"
        else:
            gene_select_stmt = "'' AS GeneName,"
            gene_join_stmt = ""
        
        generate_annotation = False
        if not check_sqlite_column_in_table(self.conn, "TRANSITION", "ANNOTATION"):
            generate_annotation = True
        else:
            # Read a small portion of the data to check for null values or specific values
            annotation_data = pd.read_sql("SELECT ANNOTATION FROM TRANSITION LIMIT 1", self.conn)

            # Check if any null values or a specific value ("NA") is present
            if annotation_data['ANNOTATION'].isin([None, "NA"]).any():
                generate_annotation = True
        
        if generate_annotation: 
            stmt = f"""SELECT 
            {gene_select_stmt}
            PROTEIN.PROTEIN_ACCESSION AS ProteinId,
            PEPTIDE.UNMODIFIED_SEQUENCE AS PeptideSequence,
            PEPTIDE.MODIFIED_SEQUENCE AS ModifiedPeptideSequence,
            PRECURSOR.PRECURSOR_MZ AS PrecursorMz,
            PRECURSOR.CHARGE AS PrecursorCharge,
            PRECURSOR.LIBRARY_RT AS NormalizedRetentionTime,
            {prec_lib_drift_time_query}
            TRANSITION.PRODUCT_MZ AS ProductMz,
            TRANSITION.CHARGE AS ProductCharge,
            TRANSITION.TYPE || TRANSITION.ORDINAL || '^' || TRANSITION.CHARGE AS Annotation,
            TRANSITION.LIBRARY_INTENSITY AS LibraryIntensity,
            TRANSITION.DETECTING AS Detecting,
            PRECURSOR.DECOY AS Decoy
            FROM PRECURSOR
            INNER JOIN PRECURSOR_PEPTIDE_MAPPING ON PRECURSOR_PEPTIDE_MAPPING.PRECURSOR_ID = PRECURSOR.ID
            INNER JOIN PEPTIDE ON PEPTIDE.ID = PRECURSOR_PEPTIDE_MAPPING.PEPTIDE_ID
            INNER JOIN PEPTIDE_PROTEIN_MAPPING ON PEPTIDE_PROTEIN_MAPPING.PEPTIDE_ID = PEPTIDE.ID
            INNER JOIN PROTEIN ON PROTEIN.ID = PEPTIDE_PROTEIN_MAPPING.PROTEIN_ID
            {gene_join_stmt}
            INNER JOIN TRANSITION_PRECURSOR_MAPPING ON TRANSITION_PRECURSOR_MAPPING.PRECURSOR_ID = PRECURSOR.ID
            INNER JOIN (SELECT * FROM TRANSITION WHERE DETECTING = 1) AS TRANSITION ON TRANSITION.ID = TRANSITION_PRECURSOR_MAPPING.TRANSITION_ID"""  
        else: 
            stmt = f"""SELECT 
                    {gene_select_stmt}
                    PROTEIN.PROTEIN_ACCESSION AS ProteinId,
                    PEPTIDE.UNMODIFIED_SEQUENCE AS PeptideSequence,
                    PEPTIDE.MODIFIED_SEQUENCE AS ModifiedPeptideSequence,
                    PRECURSOR.PRECURSOR_MZ AS PrecursorMz,
                    PRECURSOR.CHARGE AS PrecursorCharge,
                    PRECURSOR.LIBRARY_RT AS NormalizedRetentionTime,
                    {prec_lib_drift_time_query}
                    TRANSITION.PRODUCT_MZ AS ProductMz,
                    TRANSITION.CHARGE AS ProductCharge,
                    TRANSITION.ANNOTATION AS Annotation,
                    TRANSITION.LIBRARY_INTENSITY AS LibraryIntensity,
                    TRANSITION.DETECTING AS Detecting,
                    PRECURSOR.DECOY AS Decoy
                    FROM PRECURSOR
                    INNER JOIN PRECURSOR_PEPTIDE_MAPPING ON PRECURSOR_PEPTIDE_MAPPING.PRECURSOR_ID = PRECURSOR.ID
                    INNER JOIN PEPTIDE ON PEPTIDE.ID = PRECURSOR_PEPTIDE_MAPPING.PEPTIDE_ID
                    INNER JOIN PEPTIDE_PROTEIN_MAPPING ON PEPTIDE_PROTEIN_MAPPING.PEPTIDE_ID = PEPTIDE.ID
                    INNER JOIN PROTEIN ON PROTEIN.ID = PEPTIDE_PROTEIN_MAPPING.PROTEIN_ID
                    {gene_join_stmt}
                    INNER JOIN TRANSITION_PRECURSOR_MAPPING ON TRANSITION_PRECURSOR_MAPPING.PRECURSOR_ID = PRECURSOR.ID
                    INNER JOIN (SELECT * FROM TRANSITION WHERE DETECTING = 1) AS TRANSITION ON TRANSITION.ID = TRANSITION_PRECURSOR_MAPPING.TRANSITION_ID"""
        
        data = pd.read_sql(stmt, self.conn)

        return data

    def _validate_columns(self) -> bool:
        '''
        Validate the PQP file has the required columns
        '''
        return all(col in self.data.columns for col in TransitionPQPDataAccess.REQUIRED_PQP_COLUMNS)
    
    def empty(self):
        return self.data.empty() 

    def __setitem__(self, index, value):
        return self.data.__setitem__(index, value)
 
    def __getitem__(self, index):
        return self.data.__getitem__(index)
 
