main.py

import os
import sys
import copy
import json
import threading
import queue
import traceback

import torch

import nodes

def get_input_data(inputs, class_def, outputs={}, prompt={}, extra_data={}):
    valid_inputs = class_def.INPUT_TYPES()
    input_data_all = {}
    for x in inputs:
        input_data = inputs[x]
        if isinstance(input_data, list):
            input_unique_id = input_data[0]
            output_index = input_data[1]
            obj = outputs[input_unique_id][output_index]
            input_data_all[x] = obj
        else:
            if ("required" in valid_inputs and x in valid_inputs["required"]) or ("optional" in valid_inputs and x in valid_inputs["optional"]):
                input_data_all[x] = input_data

    if "hidden" in valid_inputs:
        h = valid_inputs["hidden"]
        for x in h:
            if h[x] == "PROMPT":
                input_data_all[x] = prompt
            if h[x] == "EXTRA_PNGINFO":
                if "extra_pnginfo" in extra_data:
                    input_data_all[x] = extra_data['extra_pnginfo']
    return input_data_all

def recursive_execute(prompt, outputs, current_item, extra_data={}):
    unique_id = current_item
    inputs = prompt[unique_id]['inputs']
    class_type = prompt[unique_id]['class_type']
    class_def = nodes.NODE_CLASS_MAPPINGS[class_type]
    if unique_id in outputs:
        return []

    executed = []

    for x in inputs:
        input_data = inputs[x]

        if isinstance(input_data, list):
            input_unique_id = input_data[0]
            output_index = input_data[1]
            if input_unique_id not in outputs:
                executed += recursive_execute(prompt, outputs, input_unique_id, extra_data)

    input_data_all = get_input_data(inputs, class_def, outputs, prompt, extra_data)
    obj = class_def()

    outputs[unique_id] = getattr(obj, obj.FUNCTION)(**input_data_all)
    return executed + [unique_id]

def recursive_output_delete_if_changed(prompt, old_prompt, outputs, current_item):
    unique_id = current_item
    inputs = prompt[unique_id]['inputs']
    class_type = prompt[unique_id]['class_type']
    class_def = nodes.NODE_CLASS_MAPPINGS[class_type]

    is_changed_old = ''
    is_changed = ''
    if hasattr(class_def, 'IS_CHANGED'):
        if 'is_changed' not in prompt[unique_id]:
            if unique_id in old_prompt and 'is_changed' in old_prompt[unique_id]:
                is_changed_old = old_prompt[unique_id]['is_changed']
            input_data_all = get_input_data(inputs, class_def)
            is_changed = class_def.IS_CHANGED(**input_data_all)
            prompt[unique_id]['is_changed'] = is_changed
        else:
            is_changed = prompt[unique_id]['is_changed']

    if unique_id not in outputs:
        return True

    to_delete = False
    if is_changed != is_changed_old:
        to_delete = True
    elif unique_id not in old_prompt:
        to_delete = True
    elif inputs == old_prompt[unique_id]['inputs']:
        for x in inputs:
            input_data = inputs[x]

            if isinstance(input_data, list):
                input_unique_id = input_data[0]
                output_index = input_data[1]
                if input_unique_id in outputs:
                    to_delete = recursive_output_delete_if_changed(prompt, old_prompt, outputs, input_unique_id)
                else:
                    to_delete = True
                if to_delete:
                    break
    else:
        to_delete = True

    if to_delete:
        print("deleted", unique_id)
        d = outputs.pop(unique_id)
        del d
    return to_delete

class PromptExecutor:
    def __init__(self):
        self.outputs = {}
        self.old_prompt = {}

    def execute(self, prompt, extra_data={}):
        with torch.no_grad():
            for x in prompt:
                recursive_output_delete_if_changed(prompt, self.old_prompt, self.outputs, x)

            current_outputs = set(self.outputs.keys())
            executed = []
            try:
                for x in prompt:
                    class_ = nodes.NODE_CLASS_MAPPINGS[prompt[x]['class_type']]
                    if hasattr(class_, 'OUTPUT_NODE'):
                        if class_.OUTPUT_NODE == True:
                            valid = False
                            try:
                                m = validate_inputs(prompt, x)
                                valid = m[0]
                            except:
                                valid = False
                            if valid:
                                executed += recursive_execute(prompt, self.outputs, x, extra_data)
            except Exception as e:
                print(traceback.format_exc())
                to_delete = []
                for o in self.outputs:
                    if o not in current_outputs:
                        to_delete += [o]
                        if o in self.old_prompt:
                            d = self.old_prompt.pop(o)
                            del d
                for o in to_delete:
                    d = self.outputs.pop(o)
                    del d
            else:
                executed = set(executed)
                for x in executed:
                    self.old_prompt[x] = copy.deepcopy(prompt[x])

def validate_inputs(prompt, item):
    unique_id = item
    inputs = prompt[unique_id]['inputs']
    class_type = prompt[unique_id]['class_type']
    obj_class = nodes.NODE_CLASS_MAPPINGS[class_type]

    class_inputs = obj_class.INPUT_TYPES()
    required_inputs = class_inputs['required']
    for x in required_inputs:
        if x not in inputs:
            return (False, "Required input is missing. {}, {}".format(class_type, x))
        val = inputs[x]
        info = required_inputs[x]
        type_input = info[0]
        if isinstance(val, list):
            if len(val) != 2:
                return (False, "Bad Input. {}, {}".format(class_type, x))
            o_id = val[0]
            o_class_type = prompt[o_id]['class_type']
            r = nodes.NODE_CLASS_MAPPINGS[o_class_type].RETURN_TYPES
            if r[val[1]] != type_input:
                return (False, "Return type mismatch. {}, {}".format(class_type, x))
            r = validate_inputs(prompt, o_id)
            if r[0] == False:
                return r
        else:
            if type_input == "INT":
                val = int(val)
                inputs[x] = val
            if type_input == "FLOAT":
                val = float(val)
                inputs[x] = val
            if type_input == "STRING":
                val = str(val)
                inputs[x] = val

            if len(info) > 1:
                if "min" in info[1] and val < info[1]["min"]:
                    return (False, "Value smaller than min. {}, {}".format(class_type, x))
                if "max" in info[1] and val > info[1]["max"]:
                    return (False, "Value bigger than max. {}, {}".format(class_type, x))

            if isinstance(type_input, list):
                if val not in type_input:
                    return (False, "Value not in list. {}, {}".format(class_type, x))
    return (True, "")

def validate_prompt(prompt):
    outputs = set()
    for x in prompt:
        class_ = nodes.NODE_CLASS_MAPPINGS[prompt[x]['class_type']]
        if hasattr(class_, 'OUTPUT_NODE') and class_.OUTPUT_NODE == True:
            outputs.add(x)

    if len(outputs) == 0:
        return (False, "Prompt has no outputs")

    good_outputs = set()
    for o in outputs:
        valid = False
        reason = ""
        try:
            m = validate_inputs(prompt, o)
            valid = m[0]
            reason = m[1]
        except:
            valid = False
            reason = "Parsing error"

        if valid == True:
            good_outputs.add(x)
        else:
            print("Failed to validate prompt for output {} {}".format(o, reason))
            print("output will be ignored")

    if len(good_outputs) == 0:
        return (False, "Prompt has no properly connected outputs")

    return (True, "")

def prompt_worker(q):
    e = PromptExecutor()
    while True:
        item = q.get()
        e.execute(item[-2], item[-1])
        q.task_done()


from http.server import BaseHTTPRequestHandler, HTTPServer

class PromptServer(BaseHTTPRequestHandler):
    def _set_headers(self, code=200, ct='text/html'):
        self.send_response(code)
        self.send_header('Content-type', ct)
        self.end_headers()
    def log_message(self, format, *args):
        pass
    def do_GET(self):
        if self.path == "/prompt":
            self._set_headers(ct='application/json')
            prompt_info = {}
            exec_info = {}
            exec_info['queue_remaining'] = self.server.prompt_queue.unfinished_tasks
            prompt_info['exec_info'] = exec_info
            self.wfile.write(json.dumps(prompt_info).encode('utf-8'))
        elif self.path == "/object_info":
            self._set_headers(ct='application/json')
            out = {}
            for x in nodes.NODE_CLASS_MAPPINGS:
                obj_class = nodes.NODE_CLASS_MAPPINGS[x]
                info = {}
                info['input'] = obj_class.INPUT_TYPES()
                info['output'] = obj_class.RETURN_TYPES
                info['name'] = x #TODO
                info['description'] = ''
                out[x] = info
            self.wfile.write(json.dumps(out).encode('utf-8'))
        elif self.path[1:] in os.listdir(self.server.server_dir):
            self._set_headers()
            with open(os.path.join(self.server.server_dir, self.path[1:]), "rb") as f:
                self.wfile.write(f.read())
        else:
            self._set_headers()
            with open(os.path.join(self.server.server_dir, "index.html"), "rb") as f:
                self.wfile.write(f.read())

    def do_HEAD(self):
        self._set_headers()

    def do_POST(self):
        resp_code = 200
        out_string = ""
        if self.path == "/prompt":
            print("got prompt")
            self.data_string = self.rfile.read(int(self.headers['Content-Length']))
            json_data = json.loads(self.data_string)
            if "number" in json_data:
                number = float(json_data['number'])
            else:
                number = self.server.number
                self.server.number += 1
            if "prompt" in json_data:
                prompt = json_data["prompt"]
                valid = validate_prompt(prompt)
                extra_data = {}
                if "extra_data" in json_data:
                    extra_data = json_data["extra_data"]
                if valid[0]:
                    self.server.prompt_queue.put((number, id(prompt), prompt, extra_data))
                else:
                    resp_code = 400
                    out_string = valid[1]
                    print("invalid prompt:", valid[1])
        self._set_headers(code=resp_code)
        self.end_headers()
        self.wfile.write(out_string.encode('utf8'))
        return


def run(prompt_queue, address='', port=8188):
    server_address = (address, port)
    httpd = HTTPServer(server_address, PromptServer)
    httpd.server_dir = os.path.join(os.path.dirname(os.path.realpath(__file__)), "webshit")
    httpd.prompt_queue = prompt_queue
    httpd.number = 0
    if server_address[0] == '':
        addr = '0.0.0.0'
    else:
        addr = server_address[0]
    print("Starting server\n")
    print("To see the GUI go to: http://{}:{}".format(addr, server_address[1]))
    httpd.serve_forever()


if __name__ == "__main__":
    q = queue.PriorityQueue()
    threading.Thread(target=prompt_worker, daemon=True, args=(q,)).start()
    run(q, address='127.0.0.1', port=8188)