import json
import os
import pickle

'''
@brief This class is used to cache very large datasets, such as the OpenStreet Map data.
This is for internal use only for efficiency.

@author <NAME>, <NAME>

@date  2019, 2020

'''

class lru_cache():

    def __init__(self, max_cache_size: int = 0):
        self.max_cache_size = max_cache_size + 1
        self.lru = []

        if "HOME" in os.environ:
            self.cache_dir = os.environ['HOME'] + "/.cache/bridges_data/python/"

        elif os.name == "nt" and os.path.isdir(os.getenv('APPDATA') + "/local/bridges_data/python/"):
            self.cache_dir = os.getenv('APPDATA') + "/local/bridges_data/python/"

        else:
            self.cache_dir = os.getcwd() + "/.cache/bridges_data/python/"


        if not os.path.isdir(self.cache_dir):
            os.makedirs(self.cache_dir)


    def put(self, hash, content):
        try:
            with open(self.cache_dir + "/lru.txt", "rb") as fp:
                self.lru = pickle.load(fp)
        except:
            pass

        try: # Removes the location requested by the user from the LRU list
            self.lru.remove(hash)
        except:
            pass

        self.lru.insert(0, hash)

        # Removes least used map if there are more than 30 maps already saved
        if (len(self.lru) >= self.max_cache_size):
            re = self.lru[len(self.lru)-1]
            if (os.path.isfile(self.cache_dir + re)):
                os.remove(self.cache_dir + re)
            self.lru.remove(re)

        with open(self.cache_dir + "lru.txt", "wb") as fp:   #Pickling
            pickle.dump(self.lru, fp)

        with open(self.cache_dir + hash, "wb") as f:   # write to file in cache
            pickle.dump(content, f)
        return


    def get(self, hash):
        with open(self.cache_dir + hash, "rb") as j:
            try:
                data = pickle.load(j)
            except:
                print("Error: Issue reading locally cached file")
        return data



    def inCache(self, file_name):
        if (os.path.isfile(self.cache_dir + file_name)):
            return True
        return False

import json
import os
import pickle

'''
@brief This class is used to cache very large datasets, such as the OpenStreet Map data.
This is for internal use only for efficiency.

@author <NAME>, <NAME>

@date  2019, 2020

'''

class lru_cache():

    def __init__(self, max_cache_size: int = 0):
        self.max_cache_size = max_cache_size + 1
        self.lru = []

        if "HOME" in os.environ:
            self.cache_dir = os.environ['HOME'] + "/.cache/bridges_data/python/"

        elif os.name == "nt" and os.path.isdir(os.getenv('APPDATA') + "/local/bridges_data/python/"):
            self.cache_dir = os.getenv('APPDATA') + "/local/bridges_data/python/"

        else:
            self.cache_dir = os.getcwd() + "/.cache/bridges_data/python/"


        if not os.path.isdir(self.cache_dir):
            os.makedirs(self.cache_dir)


    def put(self, hash, content):
        try:
            with open(self.cache_dir + "/lru.txt", "rb") as fp:
                self.lru = pickle.load(fp)
        except:
            pass

        try: # Removes the location requested by the user from the LRU list
            self.lru.remove(hash)
        except:
            pass

        self.lru.insert(0, hash)

        # Removes least used map if there are more than 30 maps already saved
        if (len(self.lru) >= self.max_cache_size):
            re = self.lru[len(self.lru)-1]
            if (os.path.isfile(self.cache_dir + re)):
                os.remove(self.cache_dir + re)
            self.lru.remove(re)

        with open(self.cache_dir + "lru.txt", "wb") as fp:   #Pickling
            pickle.dump(self.lru, fp)

        with open(self.cache_dir + hash, "wb") as f:   # write to file in cache
            pickle.dump(content, f)
        return


    def get(self, hash):
        with open(self.cache_dir + hash, "rb") as j:
            try:
                data = pickle.load(j)
            except:
                print("Error: Issue reading locally cached file")
        return data



    def inCache(self, file_name):
        if (os.path.isfile(self.cache_dir + file_name)):
            return True
        return False

@brief This class is used to cache very large datasets, such as the OpenStreet Map data. This is for internal use only for efficiency.  @author <NAME>, <NAME>  @date  2019, 2020 # Removes the location requested by the user from the LRU list # Removes least used map if there are more than 30 maps already saved #Pickling # write to file in cache