serve/vote_utils.py

import datetime
import time
import json
import uuid
import gradio as gr
from pathlib import Path
from .utils import *
from .log_utils import build_logger
from .constants import IMAGE_DIR

ig_logger = build_logger("gradio_web_server_image_generation", "gr_web_image_generation.log") # ig = image generation, loggers for single model direct chat
igm_logger = build_logger("gradio_web_server_image_generation_multi", "gr_web_image_generation_multi.log") # igm = image generation multi, loggers for side-by-side and battle
ie_logger = build_logger("gradio_web_server_image_editing", "gr_web_image_editing.log") # ie = image editing, loggers for single model direct chat
iem_logger = build_logger("gradio_web_server_image_editing_multi", "gr_web_image_editing_multi.log") # iem = image editing multi, loggers for side-by-side and battle

def vote_last_response_ig(state, vote_type, model_selector, request: gr.Request):
    with open(get_conv_log_filename(), "a") as fout:
        data = {
            "tstamp": round(time.time(), 4),
            "type": vote_type,
            "model": model_selector,
            "state": state.dict(),
            "ip": get_ip(request),
        }
        fout.write(json.dumps(data) + "\n")
        append_json_item_on_log_server(data, get_conv_log_filename())
        
def vote_last_response_igm(states, vote_type, model_selectors, request: gr.Request):
    with open(get_conv_log_filename(), "a") as fout:
        data = {
            "tstamp": round(time.time(), 4),
            "type": vote_type,
            "models": [x for x in model_selectors],
            "states": [x.dict() for x in states],
            "ip": get_ip(request),
        }
        fout.write(json.dumps(data) + "\n")
        append_json_item_on_log_server(data, get_conv_log_filename())
    for state in states:
        output_file = f'{IMAGE_DIR}/generation/{state.conv_id}.jpg'
        with open(output_file, 'w') as f:
            state.output.save(f, 'JPEG')
        save_image_file_on_log_server(output_file)

def vote_last_response_ie(state, vote_type, model_selector, request: gr.Request):
    with open(get_conv_log_filename(), "a") as fout:
        data = {
            "tstamp": round(time.time(), 4),
            "type": vote_type,
            "model": model_selector,
            "state": state.dict(),
            "ip": get_ip(request),
        }
        fout.write(json.dumps(data) + "\n")
        append_json_item_on_log_server(data, get_conv_log_filename())
    output_file = f'{IMAGE_DIR}/edition/{state.conv_id}.jpg'
    source_file = f'{IMAGE_DIR}/edition/{state.conv_id}_source.jpg'
    with open(output_file, 'w') as f:
        state.output.save(f, 'JPEG')
    with open(source_file, 'w') as sf:
        state.source_image.save(sf, 'JPEG')
    save_image_file_on_log_server(output_file)
    save_image_file_on_log_server(source_file)
        
def vote_last_response_iem(states, vote_type, model_selectors, request: gr.Request):
    with open(get_conv_log_filename(), "a") as fout:
        data = {
            "tstamp": round(time.time(), 4),
            "type": vote_type,
            "models": [x for x in model_selectors],
            "states": [x.dict() for x in states],
            "ip": get_ip(request),
        }
        fout.write(json.dumps(data) + "\n")
        append_json_item_on_log_server(data, get_conv_log_filename())
    for state in states:
        output_file = f'{IMAGE_DIR}/edition/{state.conv_id}.jpg'
        source_file = f'{IMAGE_DIR}/edition/{state.conv_id}_source.jpg'
        with open(output_file, 'w') as f:
            state.output.save(f, 'JPEG')
        with open(source_file, 'w') as sf:
            state.source_image.save(sf, 'JPEG')
        save_image_file_on_log_server(output_file)
        save_image_file_on_log_server(source_file)
            

## Image Generation (IG) Single Model Direct Chat
def upvote_last_response_ig(state, model_selector, request: gr.Request):
    ip = get_ip(request)
    ig_logger.info(f"upvote. ip: {ip}")
    vote_last_response_ig(state, "upvote", model_selector, request)
    return ("",) + (disable_btn,) * 3

def downvote_last_response_ig(state, model_selector, request: gr.Request):
    ip = get_ip(request)
    ig_logger.info(f"downvote. ip: {ip}")
    vote_last_response_ig(state, "downvote", model_selector, request)
    return ("",) + (disable_btn,) * 3


def flag_last_response_ig(state, model_selector, request: gr.Request):
    ip = get_ip(request)
    ig_logger.info(f"flag. ip: {ip}")
    vote_last_response_ig(state, "flag", model_selector, request)
    return ("",) + (disable_btn,) * 3

## Image Generation Multi (IGM) Side-by-Side and Battle

def leftvote_last_response_igm(
    state0, state1, model_selector0, model_selector1, request: gr.Request
):
    igm_logger.info(f"leftvote (named). ip: {get_ip(request)}")
    vote_last_response_igm(
        [state0, state1], "leftvote", [model_selector0, model_selector1], request
    )
    return ("",) + (disable_btn,) * 4 + (gr.Markdown(f"### Model A: {state0.model_name}", visible=True), gr.Markdown(f"### Model B: {state1.model_name}", visible=True))


def rightvote_last_response_igm(
    state0, state1, model_selector0, model_selector1, request: gr.Request
):
    igm_logger.info(f"rightvote (named). ip: {get_ip(request)}")
    vote_last_response_igm(
        [state0, state1], "rightvote", [model_selector0, model_selector1], request
    )
    return ("",) + (disable_btn,) * 4 + (gr.Markdown(f"### Model A: {state0.model_name}", visible=True), gr.Markdown(f"### Model B: {state1.model_name}", visible=True))


def tievote_last_response_igm(
    state0, state1, model_selector0, model_selector1, request: gr.Request
):
    igm_logger.info(f"tievote (named). ip: {get_ip(request)}")
    vote_last_response_igm(
        [state0, state1], "tievote", [model_selector0, model_selector1], request
    )
    return ("",) + (disable_btn,) * 4 + (gr.Markdown(f"### Model A: {state0.model_name}", visible=True), gr.Markdown(f"### Model B: {state1.model_name}", visible=True))


def bothbad_vote_last_response_igm(
    state0, state1, model_selector0, model_selector1, request: gr.Request
):
    igm_logger.info(f"bothbad_vote (named). ip: {get_ip(request)}")
    vote_last_response_igm(
        [state0, state1], "bothbad_vote", [model_selector0, model_selector1], request
    )
    return ("",) + (disable_btn,) * 4 + (gr.Markdown(f"### Model A: {state0.model_name}", visible=True), gr.Markdown(f"### Model B: {state1.model_name}", visible=True))

## Image Editing (IE) Single Model Direct Chat

def upvote_last_response_ie(state, model_selector, request: gr.Request):
    ip = get_ip(request)
    ie_logger.info(f"upvote. ip: {ip}")
    vote_last_response_ie(state, "upvote", model_selector, request)
    return ("", "", gr.Image(height=512, width=512, type="pil"), "",) + (disable_btn,) * 3

def downvote_last_response_ie(state, model_selector, request: gr.Request):
    ip = get_ip(request)
    ie_logger.info(f"downvote. ip: {ip}")
    vote_last_response_ie(state, "downvote", model_selector, request)
    return ("", "", gr.Image(height=512, width=512, type="pil"), "",) + (disable_btn,) * 3

def flag_last_response_ie(state, model_selector, request: gr.Request):
    ip = get_ip(request)
    ie_logger.info(f"flag. ip: {ip}")
    vote_last_response_ie(state, "flag", model_selector, request)
    return ("", "", gr.Image(height=512, width=512, type="pil"), "",) + (disable_btn,) * 3

## Image Editing Multi (IEM) Side-by-Side and Battle
def leftvote_last_response_iem(
    state0, state1, model_selector0, model_selector1, request: gr.Request
):
    iem_logger.info(f"leftvote (anony). ip: {get_ip(request)}")
    vote_last_response_iem(
        [state0, state1], "leftvote", [model_selector0, model_selector1], request
    )
    # names = (
    #     "### Model A: " + state0.model_name,
    #     "### Model B: " + state1.model_name,
    # )
    # names = (state0.model_name, state1.model_name)
    names = (gr.Markdown(f"### Model A: {state0.model_name}", visible=True), gr.Markdown(f"### Model B: {state1.model_name}", visible=True))
    return names + ("", "", gr.Image(height=512, width=512, type="pil"), "") + (disable_btn,) * 4
        
def rightvote_last_response_iem(
    state0, state1, model_selector0, model_selector1, request: gr.Request
):
    iem_logger.info(f"rightvote (anony). ip: {get_ip(request)}")
    vote_last_response_iem(
        [state0, state1], "rightvote", [model_selector0, model_selector1], request
    )
    # names = (
    #     "### Model A: " + state0.model_name,
    #     "### Model B: " + state1.model_name,
    # )
    names = (gr.Markdown(f"### Model A: {state0.model_name}", visible=True), gr.Markdown(f"### Model B: {state1.model_name}", visible=True))
    return names + ("", "", gr.Image(height=512, width=512, type="pil"), "") + (disable_btn,) * 4

def tievote_last_response_iem(
    state0, state1, model_selector0, model_selector1, request: gr.Request
):
    iem_logger.info(f"tievote (anony). ip: {get_ip(request)}")
    vote_last_response_iem(
        [state0, state1], "tievote", [model_selector0, model_selector1], request
    )
    names = (gr.Markdown(f"### Model A: {state0.model_name}", visible=True), gr.Markdown(f"### Model B: {state1.model_name}", visible=True))
    return names + ("", "", gr.Image(height=512, width=512, type="pil"), "") + (disable_btn,) * 4

def bothbad_vote_last_response_iem(
    state0, state1, model_selector0, model_selector1, request: gr.Request
):
    iem_logger.info(f"bothbad_vote (anony). ip: {get_ip(request)}")
    vote_last_response_iem(
        [state0, state1], "bothbad_vote", [model_selector0, model_selector1], request
    )
    names = (gr.Markdown(f"### Model A: {state0.model_name}", visible=True), gr.Markdown(f"### Model B: {state1.model_name}", visible=True))
    return names + ("", "", gr.Image(height=512, width=512, type="pil"), "") + (disable_btn,) * 4


share_js = """
function (a, b, c, d) {
    const captureElement = document.querySelector('#share-region-named');
    html2canvas(captureElement)
        .then(canvas => {
            canvas.style.display = 'none'
            document.body.appendChild(canvas)
            return canvas
        })
        .then(canvas => {
            const image = canvas.toDataURL('image/png')
            const a = document.createElement('a')
            a.setAttribute('download', 'chatbot-arena.png')
            a.setAttribute('href', image)
            a.click()
            canvas.remove()
        });
    return [a, b, c, d];
}
"""
def share_click_igm(state0, state1, model_selector0, model_selector1, request: gr.Request):
    igm_logger.info(f"share (anony). ip: {get_ip(request)}")
    if state0 is not None and state1 is not None:
        vote_last_response_igm(
            [state0, state1], "share", [model_selector0, model_selector1], request
        )

def share_click_iem(state0, state1, model_selector0, model_selector1, request: gr.Request):
    iem_logger.info(f"share (anony). ip: {get_ip(request)}")
    if state0 is not None and state1 is not None:
        vote_last_response_iem(
            [state0, state1], "share", [model_selector0, model_selector1], request
        )
        
## All Generation Gradio Interface

class ImageStateIG:
    def __init__(self, model_name):
        self.conv_id = uuid.uuid4().hex
        self.model_name = model_name
        self.prompt = None
        self.output = None

    def dict(self):
        base = {
            "conv_id": self.conv_id,
            "model_name": self.model_name,
            "prompt": self.prompt
            }
        return base

class ImageStateIE:
    def __init__(self, model_name):
        self.conv_id = uuid.uuid4().hex
        self.model_name = model_name
        self.source_prompt = None
        self.target_prompt = None
        self.instruct_prompt = None
        self.source_image = None
        self.output = None

    def dict(self):
        base = {
            "conv_id": self.conv_id,
            "model_name": self.model_name,
            "source_prompt": self.source_prompt,
            "target_prompt": self.target_prompt,
            "instruct_prompt": self.instruct_prompt
            }
        return base




def generate_ig(gen_func, state, text, model_name, request: gr.Request):
    if not text:
        raise gr.Warning("Prompt cannot be empty.")
    if not model_name:
        raise gr.Warning("Model name cannot be empty.")
    if state is None:
        state = ImageStateIG(model_name)
    ip = get_ip(request)
    ig_logger.info(f"generate. ip: {ip}")
    start_tstamp = time.time()
    generated_image = gen_func(text, model_name)
    state.prompt = text
    state.output = generated_image
    state.model_name = model_name
    
    yield state, generated_image
    
    finish_tstamp = time.time()
    # logger.info(f"===output===: {output}")

    with open(get_conv_log_filename(), "a") as fout:
        data = {
            "tstamp": round(finish_tstamp, 4),
            "type": "chat",
            "model": model_name,
            "gen_params": {},
            "start": round(start_tstamp, 4),
            "finish": round(finish_tstamp, 4),
            "state": state.dict(),
            "ip": get_ip(request),
        }
        fout.write(json.dumps(data) + "\n")
        append_json_item_on_log_server(data, get_conv_log_filename())
        
    output_file = f'{IMAGE_DIR}/generation/{state.conv_id}.jpg'
    os.makedirs(os.path.dirname(output_file), exist_ok=True)
    with open(output_file, 'w') as f:
        state.output.save(f, 'JPEG')
    save_image_file_on_log_server(output_file)
        
def generate_igm(gen_func, state0, state1, text, model_name0, model_name1, request: gr.Request):
    if not text:
        raise gr.Warning("Prompt cannot be empty.")
    if not model_name0:
        raise gr.Warning("Model name A cannot be empty.")
    if not model_name1:
        raise gr.Warning("Model name B cannot be empty.")
    if state0 is None:
        state0 = ImageStateIG(model_name0)
    if state1 is None:
        state1 = ImageStateIG(model_name1)
    ip = get_ip(request)
    igm_logger.info(f"generate. ip: {ip}")
    start_tstamp = time.time()
    generated_image0, generated_image1 = gen_func(text, model_name0, model_name1)
    state0.prompt = text
    state1.prompt = text
    state0.output = generated_image0
    state1.output = generated_image1
    state0.model_name = model_name0
    state1.model_name = model_name1
    
    yield state0, state1, generated_image0, generated_image1
    
    finish_tstamp = time.time()
    # logger.info(f"===output===: {output}")
    
    with open(get_conv_log_filename(), "a") as fout:
        data = {
            "tstamp": round(finish_tstamp, 4),
            "type": "chat",
            "model": model_name0,
            "gen_params": {},
            "start": round(start_tstamp, 4),
            "finish": round(finish_tstamp, 4),
            "state": state0.dict(),
            "ip": get_ip(request),
        }
        fout.write(json.dumps(data) + "\n")
        append_json_item_on_log_server(data, get_conv_log_filename())
        data = {
            "tstamp": round(finish_tstamp, 4),
            "type": "chat",
            "model": model_name1,
            "gen_params": {},
            "start": round(start_tstamp, 4),
            "finish": round(finish_tstamp, 4),
            "state": state1.dict(),
            "ip": get_ip(request),
        }
        fout.write(json.dumps(data) + "\n")
        append_json_item_on_log_server(data, get_conv_log_filename())
    
    for i, state in enumerate([state0, state1]):
        output_file = f'{IMAGE_DIR}/generation/{state.conv_id}.jpg'
        os.makedirs(os.path.dirname(output_file), exist_ok=True)
        with open(output_file, 'w') as f:
            state.output.save(f, 'JPEG')
        save_image_file_on_log_server(output_file)
            
def generate_igm_annoy(gen_func, state0, state1, text, model_name0, model_name1, request: gr.Request):
    if not text:
        raise gr.Warning("Prompt cannot be empty.")
    if state0 is None:
        state0 = ImageStateIG(model_name0)
    if state1 is None:
        state1 = ImageStateIG(model_name1)
    ip = get_ip(request)
    igm_logger.info(f"generate. ip: {ip}")
    start_tstamp = time.time()
    generated_image0, generated_image1, model_name0, model_name1 = gen_func(text, model_name0, model_name1)
    state0.prompt = text
    state1.prompt = text
    state0.output = generated_image0
    state1.output = generated_image1
    state0.model_name = model_name0
    state1.model_name = model_name1
    
    yield state0, state1, generated_image0, generated_image1, \
        gr.Markdown(f"### Model A: {model_name0}"), gr.Markdown(f"### Model B: {model_name1}")
    
    finish_tstamp = time.time()
    # logger.info(f"===output===: {output}")
    
    with open(get_conv_log_filename(), "a") as fout:
        data = {
            "tstamp": round(finish_tstamp, 4),
            "type": "chat",
            "model": model_name0,
            "gen_params": {},
            "start": round(start_tstamp, 4),
            "finish": round(finish_tstamp, 4),
            "state": state0.dict(),
            "ip": get_ip(request),
        }
        fout.write(json.dumps(data) + "\n")
        append_json_item_on_log_server(data, get_conv_log_filename())
        data = {
            "tstamp": round(finish_tstamp, 4),
            "type": "chat",
            "model": model_name1,
            "gen_params": {},
            "start": round(start_tstamp, 4),
            "finish": round(finish_tstamp, 4),
            "state": state1.dict(),
            "ip": get_ip(request),
        }
        fout.write(json.dumps(data) + "\n")
        append_json_item_on_log_server(data, get_conv_log_filename())
    
    for i, state in enumerate([state0, state1]):
        output_file = f'{IMAGE_DIR}/generation/{state.conv_id}.jpg'
        os.makedirs(os.path.dirname(output_file), exist_ok=True)
        with open(output_file, 'w') as f:
            state.output.save(f, 'JPEG')
        save_image_file_on_log_server(output_file)
            
            
def generate_ie(gen_func, state, source_text, target_text, instruct_text, source_image, model_name, request: gr.Request):
    if not source_text:
        raise gr.Warning("Source prompt cannot be empty.")
    if not target_text:
        raise gr.Warning("Target prompt cannot be empty.")
    if not instruct_text:
        raise gr.Warning("Instruction prompt cannot be empty.")
    if not source_image:
        raise gr.Warning("Source image cannot be empty.")
    if not model_name:
        raise gr.Warning("Model name cannot be empty.")
    if state is None:
        state = ImageStateIE(model_name)
    ip = get_ip(request)
    ig_logger.info(f"generate. ip: {ip}")
    start_tstamp = time.time()
    generated_image = gen_func(source_text, target_text, instruct_text, source_image, model_name)
    state.source_prompt = source_text
    state.target_prompt = target_text
    state.instruct_prompt = instruct_text
    state.source_image = source_image
    state.output = generated_image
    state.model_name = model_name
    
    yield state, generated_image
    
    finish_tstamp = time.time()
    # logger.info(f"===output===: {output}")

    with open(get_conv_log_filename(), "a") as fout:
        data = {
            "tstamp": round(finish_tstamp, 4),
            "type": "chat",
            "model": model_name,
            "gen_params": {},
            "start": round(start_tstamp, 4),
            "finish": round(finish_tstamp, 4),
            "state": state.dict(),
            "ip": get_ip(request),
        }
        fout.write(json.dumps(data) + "\n")
        append_json_item_on_log_server(data, get_conv_log_filename())
        
    src_img_file = f'{IMAGE_DIR}/edition/{state.conv_id}_src.jpg'
    os.makedirs(os.path.dirname(src_img_file), exist_ok=True)
    with open(src_img_file, 'w') as f:
        state.source_image.save(f, 'JPEG')
    output_file = f'{IMAGE_DIR}/edition/{state.conv_id}_out.jpg'
    with open(output_file, 'w') as f:
        state.output.save(f, 'JPEG')
    save_image_file_on_log_server(src_img_file)
    save_image_file_on_log_server(output_file)
        
def generate_iem(gen_func, state0, state1, source_text, target_text, instruct_text, source_image, model_name0, model_name1, request: gr.Request):
    if not source_text:
        raise gr.Warning("Source prompt cannot be empty.")
    if not target_text:
        raise gr.Warning("Target prompt cannot be empty.")
    if not instruct_text:
        raise gr.Warning("Instruction prompt cannot be empty.")
    if not source_image:
        raise gr.Warning("Source image cannot be empty.")
    if not model_name0:
        raise gr.Warning("Model name A cannot be empty.")
    if not model_name1:
        raise gr.Warning("Model name B cannot be empty.")
    if state0 is None:
        state0 = ImageStateIE(model_name0)
    if state1 is None:
        state1 = ImageStateIE(model_name1)
    ip = get_ip(request)
    igm_logger.info(f"generate. ip: {ip}")
    start_tstamp = time.time()
    generated_image0, generated_image1 = gen_func(source_text, target_text, instruct_text, source_image, model_name0, model_name1)
    state0.source_prompt = source_text
    state0.target_prompt = target_text
    state0.instruct_prompt = instruct_text
    state0.source_image = source_image
    state0.output = generated_image0
    state0.model_name = model_name0
    state1.source_prompt = source_text
    state1.target_prompt = target_text
    state1.instruct_prompt = instruct_text
    state1.source_image = source_image
    state1.output = generated_image1
    state1.model_name = model_name1
    
    yield state0, state1, generated_image0, generated_image1
    
    finish_tstamp = time.time()
    # logger.info(f"===output===: {output}")
    
    with open(get_conv_log_filename(), "a") as fout:
        data = {
            "tstamp": round(finish_tstamp, 4),
            "type": "chat",
            "model": model_name0,
            "gen_params": {},
            "start": round(start_tstamp, 4),
            "finish": round(finish_tstamp, 4),
            "state": state0.dict(),
            "ip": get_ip(request),
        }
        fout.write(json.dumps(data) + "\n")
        append_json_item_on_log_server(data, get_conv_log_filename())
        data = {
            "tstamp": round(finish_tstamp, 4),
            "type": "chat",
            "model": model_name1,
            "gen_params": {},
            "start": round(start_tstamp, 4),
            "finish": round(finish_tstamp, 4),
            "state": state1.dict(),
            "ip": get_ip(request),
        }
        fout.write(json.dumps(data) + "\n")
        append_json_item_on_log_server(data, get_conv_log_filename())
        
    for i, state in enumerate([state0, state1]):
        src_img_file = f'{IMAGE_DIR}/edition/{state.conv_id}_src.jpg'
        os.makedirs(os.path.dirname(src_img_file), exist_ok=True)
        with open(src_img_file, 'w') as f:
            state.source_image.save(f, 'JPEG')
        output_file = f'{IMAGE_DIR}/edition/{state.conv_id}_out.jpg'
        with open(output_file, 'w') as f:
            state.output.save(f, 'JPEG')
        save_image_file_on_log_server(src_img_file)
        save_image_file_on_log_server(output_file)
            

def generate_iem_annoy(gen_func, state0, state1, source_text, target_text, instruct_text, source_image, model_name0, model_name1, request: gr.Request):
    if not source_text:
        raise gr.Warning("Source prompt cannot be empty.")
    if not target_text:
        raise gr.Warning("Target prompt cannot be empty.")
    if not instruct_text:
        raise gr.Warning("Instruction prompt cannot be empty.")
    if not source_image:
        raise gr.Warning("Source image cannot be empty.")
    if state0 is None:
        state0 = ImageStateIE(model_name0)
    if state1 is None:
        state1 = ImageStateIE(model_name1)
    ip = get_ip(request)
    igm_logger.info(f"generate. ip: {ip}")
    start_tstamp = time.time()
    generated_image0, generated_image1, model_name0, model_name1 = gen_func(source_text, target_text, instruct_text, source_image, model_name0, model_name1)
    state0.source_prompt = source_text
    state0.target_prompt = target_text
    state0.instruct_prompt = instruct_text
    state0.source_image = source_image
    state0.output = generated_image0
    state0.model_name = model_name0
    state1.source_prompt = source_text
    state1.target_prompt = target_text
    state1.instruct_prompt = instruct_text
    state1.source_image = source_image
    state1.output = generated_image1
    state1.model_name = model_name1
    
    yield state0, state1, generated_image0, generated_image1, \
        gr.Markdown(f"### Model A: {model_name0}"), gr.Markdown(f"### Model B: {model_name1}")
    
    finish_tstamp = time.time()
    # logger.info(f"===output===: {output}")
    
    with open(get_conv_log_filename(), "a") as fout:
        data = {
            "tstamp": round(finish_tstamp, 4),
            "type": "chat",
            "model": model_name0,
            "gen_params": {},
            "start": round(start_tstamp, 4),
            "finish": round(finish_tstamp, 4),
            "state": state0.dict(),
            "ip": get_ip(request),
        }
        fout.write(json.dumps(data) + "\n")
        append_json_item_on_log_server(data, get_conv_log_filename())
        data = {
            "tstamp": round(finish_tstamp, 4),
            "type": "chat",
            "model": model_name1,
            "gen_params": {},
            "start": round(start_tstamp, 4),
            "finish": round(finish_tstamp, 4),
            "state": state1.dict(),
            "ip": get_ip(request),
        }
        fout.write(json.dumps(data) + "\n")
        append_json_item_on_log_server(data, get_conv_log_filename())

    for i, state in enumerate([state0, state1]):
        src_img_file = f'{IMAGE_DIR}/edition/{state.conv_id}_src.jpg'
        os.makedirs(os.path.dirname(src_img_file), exist_ok=True)
        with open(src_img_file, 'w') as f:
            state.source_image.save(f, 'JPEG')
        output_file = f'{IMAGE_DIR}/edition/{state.conv_id}_out.jpg'
        with open(output_file, 'w') as f:
            state.output.save(f, 'JPEG')
        save_image_file_on_log_server(src_img_file)
        save_image_file_on_log_server(output_file)