#!/usr/bin/env python3

from pymongo import MongoClient
import json
import psycopg2
import pandas as pd
from collections.abc import MutableMapping
from tqdm import tqdm


def flatten_dict(d: MutableMapping, sep: str = '.') -> MutableMapping:
    [flat_dict] = pd.json_normalize(d, sep=sep).to_dict(orient='records')
    return flat_dict


def delete_none(_dict):
    """
    Delete None values recursively from all of the dictionaries, tuples,
    lists, sets
    """
    if isinstance(_dict, dict):
        for key, value in list(_dict.items()):
            if isinstance(value, (list, dict, tuple, set)):
                _dict[key] = delete_none(value)
            elif value is None or key is None:
                del _dict[key]

    elif isinstance(_dict, (list, set, tuple)):
        _dict = type(_dict)(
            delete_none(item) for item in _dict if item is not None
        )
    return _dict


def process_data(data, tablename):
    inserts = []
    failed_count = 0
    seriesconflict = "ON CONFLICT (seriesid) DO UPDATE SET"
    epconflict = "ON CONFLICT (episodeid, seriesid) DO UPDATE SET"
    crewconflict = "ON CONFLICT (crewid) DO UPDATE SET"
    actorconflict = "ON CONFLICT (actorid) DO UPDATE SET"
    characterconflict = "ON CONFLICT (seriesid, characterid) DO UPDATE SET"
    for document in data:
        if document['name'].lower() == 'too many requests':
            print("Skipping document due to 'Too Many Requests' in "
                "document data")
            continue
        else:
            new_document = delete_none(document)
            if '_id' in new_document:
                del new_document['_id']
            try:
                flatten_data = flatten_dict(new_document)
            except TypeError as e:
                print(
                    (
                        f"Unable to flatten data for current document. {e}\n"
                        "Exitting!"
                    )
                )
                failed_count += 1
            else:
                column_list = []
                data_list = []
                for key, value in flatten_data.items():
                    if isinstance(value, str):
                        value = value.replace('"', "'").replace("'", "''")
                    if key.lower() == '_links.self.href':
                        key = 'apilink'
                    if key.lower() == '_links.show.href':
                        key = 'apishowlink'
                    if key.lower() == '_links.show.name':
                        key = 'apishowname'
                    if '.' in key.lower():
                        key = key.replace('.', '')
                    if tablename == 'seriesdata' and (
                        key.lower() == 'name' or key.lower() == 'type'
                    ):
                        key = f"series_{key}"
                    if tablename == 'seriesdata' and key.lower() == 'id':
                        key = "seriesid"
                    if tablename == 'crewdata' and key.lower() == 'id':
                        key = "crewid"
                    if (
                        tablename == 'actordata' and (
                            key.lower() == 'name' or key.lower() == 'number' or
                            key.lower() == 'type'
                        )
                    ):
                        key = f"actor{key}"
                    if tablename == 'actordata' and key.lower() == 'id':
                        key = "actorid"
                    if tablename == 'characterdata' and key.lower() == 'id':
                        key = "characterid"
                    if tablename == 'characterdata' and key.lower() == 'name':
                        key = "charactername"
                    if tablename == 'characterdata' and key.lower() == 'id':
                        key = "seriesid, characterid"
                    if (
                        (
                            tablename == 'epdata' or
                            tablename == 'actordata'
                        ) and (
                            key.lower() == 'name' or
                            key.lower() == 'number' or
                            key.lower() == 'type'
                        )
                    ):
                        key = f"episode_{key}"
                    if key.lower() == 'language':
                        key = "language_name"
                    if tablename == 'epdata' and key.lower() == 'id':
                        key = "episodeid"
                    if tablename == 'actordata' and 'seriesid' in key.lower():
                        continue
                    else:
                        column_list.append(key)
                        if (
                            'genres' in key.lower() or
                            'schedule' in key.lower()
                        ):
                            if isinstance(value, list):
                                value = ', '.join(value)
                        if isinstance(value, int) or isinstance(value, float):
                            value = str(json.dumps(value))
                        data_list.append(f"'{value}'")
                columns = ", ".join(column_list)
                column_data = ", ".join(data_list)
                conflict_list = []
                for indexer, column in enumerate(column_list):
                    conflict_list.append(
                        f"{column_list[indexer]} = {data_list[indexer]}"
                    )
                conflict_data = ', '.join(conflict_list).replace("\\", "")
                conflict_clause = ''
                if tablename == 'seriesdata': 
                    conflict_clause = seriesconflict
                elif tablename == 'epdata':
                    conflict_clause = epconflict
                elif tablename == 'crewdata':
                    conflict_clause = crewconflict
                elif tablename == 'actordata':
                    conflict_clause = actorconflict
                elif tablename == 'characterdata':
                    conflict_clause = characterconflict
                insert_command = (
                    (
                        f"Insert Into updates.{tablename} ({columns}) "
                        f"values ({column_data}) "
                        f"{conflict_clause} {conflict_data};"
                    )
                )
                inserts.append(insert_command)
    return inserts, failed_count


try:
    connection_string = (
        (
            'postgres://postgres:Optimus0329@192.168.128.7:5432/media_dbsync'
            '?options=-csearch_path%3Ddbo,public,updates'
        )
    )
    pgclient = psycopg2.connect(connection_string)
    pgcursor = pgclient.cursor()
    # print(pgclient.get_dsn_parameters(), "\n")
    print("Connected to postgresql database server.")
    pgcursor.execute("SELECT version();")
    record = pgcursor.fetchone()
    print("You are connected to - ", record, "\n")
    pgclient.set_isolation_level(0)
except Exception as e:
    print(f"Unable to connect to postgresql database server:{e}\nExitting!")
    exit()


host = '192.168.128.8'
port = 27017
print(f"Connecting to mongodb at {host}:{port}")

try:
    connection_string = (
        f"mongodb://{host}:{port}"
    )
    mgclient = MongoClient(connection_string)
    mgdb = mgclient['test2']
except BaseException as e:
    print(f"Unable to connect to mongodb.{e}\nExitting!")
    exit()
else:
    mgseries = mgdb["series"]
    mgseries.create_index('id', unique=True)
    mgepisodes = mgdb["episodes"]
    mgepisodes.create_index('id', unique=True)
    mgactors = mgdb["actors"]
    mgactors.create_index('id', unique=True)
    mgcharacters = mgdb["characters"]
    mgcharacters.create_index('id', unique=True)
    mgcrew = mgdb["crew"]
    mgcrew.create_index('id', unique=True)
    print(
        f"Connection to mongodb at {host}:"
        f"{port} successful."
    )

print("Creating Insert commands from collection data.")

print("Collecting series data for series inserts.")
series_list = mgseries.find({})
inserts, failed_count = process_data(series_list, 'seriesdata')
print(f"Total number of series inserts: {len(inserts)}")
for i in tqdm(range(len(inserts))):
    try:
        insert = inserts[i]
        pgcursor.execute(insert)
    except Exception as e:
        print(f"Unable to insert data into seriesdata table. {e}")
        failed_count += 1
print(f"Total number of failed series inserts: {failed_count}")
pgclient.commit()

epinserts = []
failures = 0
episode_array = mgepisodes.find({})
print("Collecting episode data for episode inserts.")
inserts, failed_count = process_data(episode_array, 'epdata')
print(f"Total number of episode inserts: {len(inserts)}")
for i in tqdm(range(len(inserts))):
    try:
        insert = inserts[i]
        pgcursor.execute(insert)
    except Exception as e:
        print(f"Unable to insert data into epdata table. {e}")
        failed_count += 1
print(f"Total number of failed episode inserts: {failed_count}")
pgclient.commit()

failures = 0
actor_array = mgactors.find({})
print("Collecting actor data for actor inserts.")
inserts, failed_count = process_data(actor_array, 'actordata')
print(f"Total number of actor inserts: {len(inserts)}")
for i in tqdm(range(len(inserts))):
    try:
        insert = inserts[i]
        pgcursor.execute(insert)
    except Exception as e:
        print(f"Unable to insert data into actors table. {e}")
        failed_count += 1
print(f"Total number of failed actor inserts: {failed_count}")
pgclient.commit()

failures = 0
character_array = mgcharacters.find({})
print("Collecting actor data for actor inserts.")
inserts, failed_count = process_data(character_array, 'characterdata')
print(f"Total number of character inserts: {len(inserts)}")
for i in tqdm(range(len(inserts))):
    try:
        insert = inserts[i]
        pgcursor.execute(insert)
    except Exception as e:
        print(f"Unable to insert data into character table. {e}")
        failed_count += 1
print(f"Total number of failed character inserts: {failed_count}")
pgclient.commit()

failures = 0
crew_array = mgcrew.find({})
print("Collecting crew data for crew inserts.")
inserts, failed_count = process_data(crew_array, 'crewdata')
print(f"Total number of crew inserts: {len(inserts)}")
for i in tqdm(range(len(inserts))):
    try:
        insert = inserts[i]
        pgcursor.execute(insert)
    except Exception as e:
        print(f"Unable to insert data into epdata table. {e}")
        failed_count += 1
print(f"Total number of failed crew inserts: {failed_count}")
pgclient.commit()

pgclient.close()
print("PostgreSQL connection is closed")


exit()