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| import json | |
| from typing import Any, Dict, List, Union | |
| from enum import Enum | |
| import collections.abc | |
| from shortGPT.editing_framework.core_editing_engine import CoreEditingEngine | |
| def update_dict(d, u): | |
| for k, v in u.items(): | |
| if isinstance(v, collections.abc.Mapping): | |
| d[k] = update_dict(d.get(k, {}), v) | |
| else: | |
| d[k] = v | |
| return d | |
| class EditingStep(Enum): | |
| CROP_1920x1080 = "crop_1920x1080_to_short.json" | |
| ADD_CAPTION_SHORT = "make_caption.json" | |
| ADD_CAPTION_SHORT_ARABIC = "make_caption_arabic.json" | |
| ADD_CAPTION_LANDSCAPE = "make_caption_landscape.json" | |
| ADD_CAPTION_LANDSCAPE_ARABIC = "make_caption_arabic_landscape.json" | |
| ADD_WATERMARK = "show_watermark.json" | |
| ADD_SUBSCRIBE_ANIMATION = "subscribe_animation.json" | |
| SHOW_IMAGE = "show_top_image.json" | |
| ADD_VOICEOVER_AUDIO = "add_voiceover.json" | |
| ADD_BACKGROUND_MUSIC = "background_music.json" | |
| ADD_REDDIT_IMAGE = "show_reddit_image.json" | |
| ADD_BACKGROUND_VIDEO = "add_background_video.json" | |
| INSERT_AUDIO = "insert_audio.json" | |
| EXTRACT_AUDIO = "extract_audio.json" | |
| ADD_BACKGROUND_VOICEOVER = "add_background_voiceover.json" | |
| class Flow(Enum): | |
| WHITE_REDDIT_IMAGE_FLOW = "build_reddit_image.json" | |
| from pathlib import Path | |
| _here = Path(__file__).parent | |
| STEPS_PATH = (_here / 'editing_steps/').resolve() | |
| FLOWS_PATH = (_here / 'flows/').resolve() | |
| class EditingEngine: | |
| def __init__(self,): | |
| self.editing_step_tracker = dict((step, 0) for step in EditingStep) | |
| self.schema = {'visual_assets': {}, 'audio_assets': {}} | |
| def addEditingStep(self, editingStep: EditingStep, args: Dict[str, any] = {}): | |
| json_step = json.loads( | |
| open(STEPS_PATH / f"{editingStep.value}", 'r', encoding='utf-8').read()) | |
| step_name, editingStepDict = list(json_step.items())[0] | |
| if 'inputs' in editingStepDict: | |
| required_args = (editingStepDict['inputs']['actions'] if 'actions' in editingStepDict['inputs'] else []) + (editingStepDict['inputs']['parameters'] if 'parameters' in editingStepDict['inputs'] else []) | |
| for required_argument in required_args: | |
| if required_argument not in args: | |
| raise Exception( | |
| f"Error. '{required_argument}' input missing, you must include it to use this editing step") | |
| if required_args: | |
| pass | |
| action_names = [action['type'] for action in editingStepDict['actions'] | |
| ] if 'actions' in editingStepDict else [] | |
| param_names = [param_name for param_name in editingStepDict['parameters'] | |
| ] if 'parameters' in editingStepDict else [] | |
| for arg_name in args: | |
| if ('inputs' in editingStepDict): | |
| if 'parameters' in editingStepDict['inputs'] and arg_name in param_names: | |
| editingStepDict['parameters'][arg_name] = args[arg_name] | |
| pass | |
| if 'actions' in editingStepDict['inputs'] and arg_name in action_names: | |
| for i, action in enumerate(editingStepDict['actions']): | |
| if action['type'] == arg_name: | |
| editingStepDict['actions'][i]['param'] = args[arg_name] | |
| if editingStepDict['type'] == 'audio': | |
| self.schema['audio_assets'][f"{step_name}_{self.editing_step_tracker[editingStep]}"] = editingStepDict | |
| else: | |
| self.schema['visual_assets'][f"{step_name}_{self.editing_step_tracker[editingStep]}"] = editingStepDict | |
| self.editing_step_tracker[editingStep] += 1 | |
| def ingestFlow(self, flow: Flow, args): | |
| json_flow = json.loads(open(FLOWS_PATH / f"{flow.value}", 'r', encoding='utf-8').read()) | |
| for required_argument in list(json_flow['inputs'].keys()): | |
| if required_argument not in args: | |
| raise Exception( | |
| f"Error. '{required_argument}' input missing, you must include it to use this editing step") | |
| update = args[required_argument] | |
| for path_key in reversed(json_flow['inputs'][required_argument].split("/")): | |
| update = {path_key: update} | |
| json_flow = update_dict(json_flow, update) | |
| self.schema = json_flow | |
| def dumpEditingSchema(self): | |
| return self.schema | |
| def renderVideo(self, outputPath, logger=None): | |
| engine = CoreEditingEngine() | |
| engine.generate_video(self.schema, outputPath, logger=logger) | |
| def renderImage(self, outputPath, logger=None): | |
| engine = CoreEditingEngine() | |
| engine.generate_image(self.schema, outputPath, logger=logger) | |
| def generateAudio(self, outputPath, logger=None): | |
| engine = CoreEditingEngine() | |
| engine.generate_audio(self.schema, outputPath, logger=logger) | |
| # import json | |
| # from typing import Any, Dict, List, Union | |
| # from enum import Enum | |
| # import collections.abc | |
| # import os | |
| # from shortGPT.editing_framework.core_editing_engine import CoreEditingEngine | |
| # def update_dict(d, u): | |
| # for k, v in u.items(): | |
| # if isinstance(v, collections.abc.Mapping): | |
| # d[k] = update_dict(d.get(k, {}), v) | |
| # else: | |
| # d[k] = v | |
| # return d | |
| # class EditingStep(Enum): | |
| # CROP_1920x1080 = "crop_1920x1080_to_short.json" | |
| # ADD_CAPTION_SHORT = "make_caption.json" | |
| # ADD_CAPTION_SHORT_ARABIC = "make_caption_arabic.json" | |
| # ADD_CAPTION_LANDSCAPE = "make_caption_landscape.json" | |
| # ADD_CAPTION_LANDSCAPE_ARABIC = "make_caption_arabic_landscape.json" | |
| # ADD_WATERMARK = "show_watermark.json" | |
| # ADD_SUBSCRIBE_ANIMATION = "subscribe_animation.json" | |
| # SHOW_IMAGE = "show_top_image.json" | |
| # ADD_VOICEOVER_AUDIO = "add_voiceover.json" | |
| # ADD_BACKGROUND_MUSIC = "background_music.json" | |
| # ADD_REDDIT_IMAGE = "show_reddit_image.json" | |
| # ADD_BACKGROUND_VIDEO = "add_background_video.json" | |
| # INSERT_AUDIO = "insert_audio.json" | |
| # EXTRACT_AUDIO = "extract_audio.json" | |
| # ADD_BACKGROUND_VOICEOVER = "add_background_voiceover.json" | |
| # class Flow(Enum): | |
| # WHITE_REDDIT_IMAGE_FLOW = "build_reddit_image.json" | |
| # STEPS_PATH = "shortGPT/editing_framework/editing_steps/" | |
| # FLOWS_PATH = "shortGPT/editing_framework/flows/" | |
| # class EditingTrack: | |
| # def __init__(self, filepath=None): | |
| # self.editing_step_tracker = dict((step, 0) for step in EditingStep) | |
| # self.schema = {'visual_assets': {}, 'audio_assets': {}} | |
| # self.filepath = filepath | |
| # if filepath is not None: | |
| # try: | |
| # self.load_from_file(filepath) | |
| # except FileNotFoundError: | |
| # self.save_to_file(filepath) | |
| # def addEditingStep(self, editingStep: EditingStep, args: Dict[str, any] = {}): | |
| # json_step = json.loads( | |
| # open(STEPS_PATH+editingStep.value, 'r', encoding='utf-8').read()) | |
| # step_name, editingStepDict = list(json_step.items())[0] | |
| # if 'inputs' in editingStepDict: | |
| # required_args = (editingStepDict['inputs']['actions'] if 'actions' in editingStepDict['inputs'] else []) + (editingStepDict['inputs']['parameters'] if 'parameters' in editingStepDict['inputs'] else []) | |
| # for required_argument in required_args: | |
| # if required_argument not in args: | |
| # raise Exception( | |
| # f"Error. '{required_argument}' input missing, you must include it to use this editing step") | |
| # if required_args: | |
| # pass | |
| # action_names = [action['type'] for action in editingStepDict['actions'] | |
| # ] if 'actions' in editingStepDict else [] | |
| # param_names = [param_name for param_name in editingStepDict['parameters'] | |
| # ] if 'parameters' in editingStepDict else [] | |
| # for arg_name in args: | |
| # if ('inputs' in editingStepDict): | |
| # if 'parameters' in editingStepDict['inputs'] and arg_name in param_names: | |
| # editingStepDict['parameters'][arg_name] = args[arg_name] | |
| # pass | |
| # if 'actions' in editingStepDict['inputs'] and arg_name in action_names: | |
| # for i, action in enumerate(editingStepDict['actions']): | |
| # if action['type'] == arg_name: | |
| # editingStepDict['actions'][i]['param'] = args[arg_name] | |
| # if editingStepDict['type'] == 'audio': | |
| # self.schema['audio_assets'][f"{step_name}_{self.editing_step_tracker[editingStep]}"] = editingStepDict | |
| # else: | |
| # self.schema['visual_assets'][f"{step_name}_{self.editing_step_tracker[editingStep]}"] = editingStepDict | |
| # self.editing_step_tracker[editingStep] += 1 | |
| # def ingestFlow(self, flow: Flow, args): | |
| # json_flow = json.loads(open(FLOWS_PATH+flow.value, 'r', encoding='utf-8').read()) | |
| # for required_argument in list(json_flow['inputs'].keys()): | |
| # if required_argument not in args: | |
| # raise Exception( | |
| # f"Error. '{required_argument}' input missing, you must include it to use this editing step") | |
| # update = args[required_argument] | |
| # for path_key in reversed(json_flow['inputs'][required_argument].split("/")): | |
| # update = {path_key: update} | |
| # json_flow = update_dict(json_flow, update) | |
| # self.schema = json_flow | |
| # def dumpEditingSchema(self): | |
| # return self.schema | |
| # def save_to_file(self): | |
| # if self.file_path: | |
| # with open(self.file_path, 'w') as f: | |
| # json.dump({'step_tracker': {key.name: value for key, value in self.step_tracker.items()}, 'asset_schema': self.asset_schema}, f) | |
| # def load_from_file(self): | |
| # if self.file_path and os.path.exists(self.file_path): | |
| # with open(self.file_path, 'r') as f: | |
| # data = json.load(f) | |
| # self.step_tracker = {EditingStep[key]: value for key, value in data.get('step_tracker', {}).items()} | |
| # self.asset_schema = data.get('asset_schema', {'visual_assets': {}, 'audio_assets': {}}) | |
| # else: | |
| # raise Exception("File does not exist") | |
| # def renderVideo(self, outputPath, logger=None): | |
| # engine = CoreEditingEngine() | |
| # engine.generate_video(self.schema, outputPath, logger=logger) | |
| # def renderImage(self, outputPath, logger=None): | |
| # engine = CoreEditingEngine() | |
| # engine.generate_image(self.schema, outputPath, logger=logger) | |
| # def generateAudio(self, outputPath, logger=None): | |
| # engine = CoreEditingEngine() | |
| # engine.generate_audio(self.schema, outputPath, logger=logger) |