aboutsummaryrefslogtreecommitdiff
path: root/src/gpt_chat_cli/gcli.py
blob: 1c5555c924373584de899c03b81ddba93d48bc1f (plain)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
#!/bin/env python3

import sys
import openai
import pickle

from collections import defaultdict
from dataclasses import dataclass
from typing import Tuple

from .openai_wrappers import (
    create_chat_completion,
    list_models,
    OpenAIChatResponse,
    OpenAIChatResponseStream,
    FinishReason,
    Role,
    ChatMessage
)

from .argparsing import (
    parse_args,
    Arguments,
    DisplayArguments,
    CompletionArguments,
    DebugArguments,
)

from .version import VERSION
from .color import get_color_codes

import datetime


###########################
####   SAVE / REPLAY   ####
###########################

def create_singleton_chat_completion(
        message : str,
        completion_args : CompletionArguments
    ):

    hist = [ get_system_message(), ChatMessage( Role.USER, message ) ]

    completion = create_chat_completion(hist, completion_args)

    return completion

def save_response_and_arguments(args : Arguments) -> None:

    message = args.initial_message

    completion = create_singleton_chat_completion(message, args.completion_args)
    completion = list(completion)

    filename = args.debug_args.save_response_to_file

    with open(filename, 'wb') as f:
        pickle.dump((message, args.completion_args, completion,), f)

def load_response_and_arguments(args : Arguments) \
        -> Tuple[CompletionArguments, OpenAIChatResponseStream]:

    filename = args.debug_args.load_response_from_file

    with open(filename, 'rb') as f:
        message, args, completion = pickle.load(f)

    return (message, args, completion)

#########################
#### PRETTY PRINTING ####
#########################

@dataclass
class CumulativeResponse:
    delta_content: str = ""
    finish_reason: FinishReason = FinishReason.NONE
    content: str = ""

    def take_delta(self : "CumulativeResponse"):
        chunk = self.delta_content
        self.delta_content = ""
        return chunk

    def add_content(self : "CumulativeResponse", new_chunk : str):
        self.content += new_chunk
        self.delta_content += new_chunk

from .chat_colorizer import ChatColorizer

def print_streamed_response(
        display_args : DisplayArguments,
        completion : OpenAIChatResponseStream,
        n_completions : int,
        return_responses : bool = False
    ) -> None:
    """
    Print the response in real time by printing the deltas as they occur. If multiple responses
    are requested, print the first in real-time, accumulating the others in the background. One the
    first response completes, move on to the second response printing the deltas in real time. Continue
    on until all responses have been printed.
    """

    no_color = not display_args.color

    COLOR_CODE = get_color_codes(no_color = no_color)
    adornments = display_args.adornments

    cumu_responses = defaultdict(CumulativeResponse)
    display_idx = 0
    prompt_printed = False

    chat_colorizer = ChatColorizer(no_color = no_color)

    for update in completion:

        for choice in update.choices:
            delta = choice.delta

            if delta.content:
                cumu_responses[choice.index].add_content(delta.content)

            if choice.finish_reason is not FinishReason.NONE:
                cumu_responses[choice.index].finish_reason = choice.finish_reason

        display_response = cumu_responses[display_idx]

        if not prompt_printed and adornments:
            res_indicator = '' if n_completions == 1 else \
                    f' {display_idx + 1}/{n_completions}'
            PROMPT = f'[{COLOR_CODE.GREEN}{update.model}{COLOR_CODE.RESET}{COLOR_CODE.RED}{res_indicator}{COLOR_CODE.RESET}]'
            prompt_printed = True
            print(PROMPT, end=' ', flush=True)

        content = display_response.take_delta()
        chat_colorizer.add_chunk( content )

        chat_colorizer.print()

        if display_response.finish_reason is not FinishReason.NONE:
            chat_colorizer.finish()
            chat_colorizer.print()
            chat_colorizer = ChatColorizer( no_color=no_color )

            if display_idx < n_completions:
                display_idx += 1
                prompt_printed = False

            if adornments:
                print(end='\n\n', flush=True)
            else:
                print(end='\n', flush=True)

    if return_responses:
        return [ cumu_responses[i].content for i in range(n_completions) ]

def get_system_message():
    current_date_time = datetime.datetime.now()

    msg = f'The current date is {current_date_time}. When emitting code or producing markdown, ensure to label fenced code blocks with the language in use.'

    return ChatMessage( Role.SYSTEM, msg)

def cmd_version():
    print(f'version {VERSION}')

def cmd_list_models():
    for model in list_models():
        print(model)

def enable_emacs_editing():
    try:
        import readline
        # self.old_completer = readline.get_completer()
        # readline.set_completer(self.complete)
        # readline.parse_and_bind(self.completekey+": complete")
    except ImportError:
        pass

def cmd_interactive(args : Arguments):

    enable_emacs_editing()

    COLOR_CODE = get_color_codes(no_color = not args.display_args.color)

    completion_args = args.completion_args
    display_args = args.display_args

    hist = [ get_system_message() ]

    PROMPT = f'[{COLOR_CODE.WHITE}#{COLOR_CODE.RESET}] '

    def prompt_message() -> bool:

        # Control-D closes the input stream
        try:
            message = input( PROMPT )
        except (EOFError, KeyboardInterrupt):
            print()
            return False

        hist.append( ChatMessage( Role.USER, message ) )

        return True

    print(f'GPT Chat CLI version {VERSION}')
    print(f'Press Control-D to exit')

    if args.initial_message:
        print( PROMPT, args.initial_message, sep='' )
        hist.append( ChatMessage( Role.USER, args.initial_message ) )
    else:
        if not prompt_message():
            return

    while True:

        completion = create_chat_completion(hist, completion_args)

        try:
            response = print_streamed_response(
                display_args, completion, 1, return_responses=True,
            )[0]

            hist.append( ChatMessage(Role.ASSISTANT, response) )
        except:
            pass

        if not prompt_message():
            break

def cmd_singleton(args: Arguments):
    completion_args = args.completion_args

    debug_args : DebugArguments = args.debug_args
    message = args.initial_message

    if debug_args.save_response_to_file:
        save_response_and_arguments(args)
        return
    elif debug_args.load_response_from_file:
        message, completion_args, completion = load_response_and_arguments(args)
    else:
        # message is only None is a TTY is not attached
        if message is None:
            message = sys.stdin.read()

        completion = create_singleton_chat_completion(message, completion_args)

    print_streamed_response(
        args.display_args,
        completion,
        completion_args.n_completions
    )


def main():
    args = parse_args()

    if args.version:
        cmd_version()
    elif args.list_models:
        cmd_list_models()
    elif args.interactive:
        cmd_interactive(args)
    else:
        cmd_singleton(args)

if __name__ == "__main__":
    main()