KoboldAI-Client/fileops.py

238 lines
9.5 KiB
Python
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import tkinter as tk
from tkinter import filedialog
from os import getcwd, listdir, path
from typing import Tuple, Union, Optional
import os
import json
import zipfile
#==================================================================#
# Generic Method for prompting for file path
#==================================================================#
def getsavepath(dir, title, types):
root = tk.Tk()
root.attributes("-topmost", True)
path = tk.filedialog.asksaveasfile(
initialdir=dir,
title=title,
filetypes = types,
defaultextension="*.*"
)
root.destroy()
if(path != "" and path != None):
return path.name
else:
return None
#==================================================================#
# Generic Method for prompting for file path
#==================================================================#
def getloadpath(dir, title, types):
root = tk.Tk()
root.attributes("-topmost", True)
path = tk.filedialog.askopenfilename(
initialdir=dir,
title=title,
filetypes = types
)
root.destroy()
if(path != "" and path != None):
return path
else:
return None
#==================================================================#
# Generic Method for prompting for directory path
#==================================================================#
def getdirpath(dir, title):
root = tk.Tk()
root.attributes("-topmost", True)
path = filedialog.askdirectory(
initialdir=dir,
title=title
)
root.destroy()
if(path != "" and path != None):
return path
else:
return None
#==================================================================#
# Returns the path (as a string) to the given story by its name
#==================================================================#
def storypath(name):
return path.join(path.dirname(path.realpath(__file__)), "stories", name + ".json")
#==================================================================#
# Returns the path (as a string) to the given soft prompt by its filename
#==================================================================#
def sppath(filename):
return path.join(path.dirname(path.realpath(__file__)), "softprompts", filename)
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#==================================================================#
# Returns the path (as a string) to the given username by its filename
#==================================================================#
def uspath(filename):
return path.join(path.dirname(path.realpath(__file__)), "userscripts", filename)
#==================================================================#
# Returns an array of dicts containing story files in /stories
#==================================================================#
def getstoryfiles():
list = []
for file in listdir(path.dirname(path.realpath(__file__))+"/stories"):
if file.endswith(".json"):
ob = {}
ob["name"] = file.replace(".json", "")
f = open(path.dirname(path.realpath(__file__))+"/stories/"+file, "r")
try:
js = json.load(f)
except:
print(f"Browser loading error: {file} is malformed or not a JSON file.")
f.close()
continue
f.close()
try:
ob["actions"] = len(js["actions"])
except TypeError:
print(f"Browser loading error: {file} has incorrect format.")
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continue
list.append(ob)
return list
#==================================================================#
# Checks if the given soft prompt file is valid
#==================================================================#
def checksp(filename: str, model_dimension: int) -> Tuple[Union[zipfile.ZipFile, int], Optional[Tuple[int, int]], Optional[Tuple[int, int]], Optional[bool], Optional['np.dtype']]:
global np
if 'np' not in globals():
import numpy as np
try:
z = zipfile.ZipFile(path.dirname(path.realpath(__file__))+"/softprompts/"+filename)
with z.open('tensor.npy') as f:
# Read only the header of the npy file, for efficiency reasons
version: Tuple[int, int] = np.lib.format.read_magic(f)
shape: Tuple[int, int]
fortran_order: bool
dtype: np.dtype
shape, fortran_order, dtype = np.lib.format._read_array_header(f, version)
assert len(shape) == 2
except:
z.close()
return 1, None, None, None, None
if dtype not in ('V2', np.float16, np.float32):
z.close()
return 2, version, shape, fortran_order, dtype
if shape[1] != model_dimension:
z.close()
return 3, version, shape, fortran_order, dtype
if shape[0] >= 2048:
z.close()
return 4, version, shape, fortran_order, dtype
return z, version, shape, fortran_order, dtype
#==================================================================#
# Returns an array of dicts containing softprompt files in /softprompts
#==================================================================#
def getspfiles(model_dimension: int):
lst = []
os.makedirs(path.dirname(path.realpath(__file__))+"/softprompts", exist_ok=True)
for file in listdir(path.dirname(path.realpath(__file__))+"/softprompts"):
if not file.endswith(".zip"):
continue
z, version, shape, fortran_order, dtype = checksp(file, model_dimension)
if z == 1:
print(f"Browser SP loading error: {file} is malformed or not a soft prompt ZIP file.")
continue
if z == 2:
print(f"Browser SP loading error: {file} tensor.npy has unsupported dtype '{dtype.name}'.")
continue
if z == 3:
print(f"Browser SP loading error: {file} tensor.npy has model dimension {shape[1]} which does not match your model's model dimension of {model_dimension}. This usually means this soft prompt is not compatible with your model.")
continue
if z == 4:
print(f"Browser SP loading error: {file} tensor.npy has {shape[0]} tokens but it is supposed to have less than 2048 tokens.")
continue
assert isinstance(z, zipfile.ZipFile)
try:
with z.open('meta.json') as f:
ob = json.load(f)
except:
ob = {}
z.close()
ob["filename"] = file
lst.append(ob)
return lst
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#==================================================================#
# Returns an array of dicts containing userscript files in /userscripts
#==================================================================#
def getusfiles(long_desc=False):
lst = []
os.makedirs(path.dirname(path.realpath(__file__))+"/userscripts", exist_ok=True)
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for file in listdir(path.dirname(path.realpath(__file__))+"/userscripts"):
if file.endswith(".lua"):
ob = {}
ob["filename"] = file
description = []
multiline = False
with open(uspath(file)) as f:
ob["modulename"] = f.readline().strip().replace("\033", "")
if ob["modulename"][:2] != "--":
ob["modulename"] = file
else:
ob["modulename"] = ob["modulename"][2:]
if ob["modulename"][:2] == "[[":
ob["modulename"] = ob["modulename"][2:]
multiline = True
ob["modulename"] = ob["modulename"].lstrip("-").strip()
for line in f:
line = line.strip().replace("\033", "")
if multiline:
index = line.find("]]")
if index > -1:
description.append(line[:index])
if index != len(line) - 2:
break
multiline = False
else:
description.append(line)
else:
if line[:2] != "--":
break
line = line[2:]
if line[:2] == "[[":
multiline = True
line = line[2:]
description.append(line.strip())
ob["description"] = "\n".join(description)
if not long_desc:
if len(ob["description"]) > 250:
ob["description"] = ob["description"][:247] + "..."
lst.append(ob)
return lst
#==================================================================#
# Returns True if json file exists with requested save name
#==================================================================#
def saveexists(name):
return path.exists(storypath(name))
#==================================================================#
# Delete save file by name; returns None if successful, or the exception if not
#==================================================================#
def deletesave(name):
try:
os.remove(storypath(name))
except Exception as e:
return e
#==================================================================#
# Rename save file; returns None if successful, or the exception if not
#==================================================================#
def renamesave(name, new_name):
try:
os.replace(storypath(name), storypath(new_name))
except Exception as e:
return e