kopia lustrzana https://github.com/torrinworx/Blend_My_NFTs
Trying to implement logging for debug
Torrin Leonard
rodzic
de079b94ef
commit
1c26cea5fc
24
__init__.py
24
__init__.py
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@ -160,7 +160,9 @@ class BMNFTData:
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sender_from: str
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email_password: str
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receiver_to: str
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enable_debug: bool
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log_path: str
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custom_fields: dict = None
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fail_state: Any = False
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@ -225,7 +227,9 @@ def getBMNFTData():
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sender_from=bpy.context.scene.input_tool.sender_from,
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email_password=bpy.context.scene.input_tool.email_password,
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receiver_to=bpy.context.scene.input_tool.receiver_to,
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enable_debug=bpy.context.scene.input_tool.enable_debug
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enable_debug=bpy.context.scene.input_tool.enable_debug,
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log_path=bpy.context.scene.input_tool.log_path,
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)
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return data
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@ -540,6 +544,13 @@ class BMNFTS_PGT_Input_Properties(bpy.types.PropertyGroup):
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description="Allows you to run Blend_My_NFTs without generating any content files and includes more "
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"console information."
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)
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log_path: bpy.props.StringProperty(
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name="Debug Log Path",
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description="Path where BMNFT_Log.txt is located.",
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default="",
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maxlen=1024,
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subtype="FILE_PATH"
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)
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# API Panel properties:
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api_key: bpy.props.StringProperty(
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@ -669,6 +680,7 @@ class ResumeFailedBatch(bpy.types.Operator):
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receiver_to=render_settings["receiver_to"],
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enable_debug=render_settings["enable_debug"],
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log_path=render_settings["log_path"],
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fail_state=_fail_state,
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failed_batch=_failed_batch,
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@ -1069,6 +1081,8 @@ class BMNFTS_PT_Other(bpy.types.Panel):
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row = layout.row()
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row.prop(input_tool_scene, "enable_debug")
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if bpy.context.scene.input_tool.enable_debug:
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row.prop(input_tool_scene, "log_path")
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row = layout.row()
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@ -1080,8 +1094,12 @@ class BMNFTS_PT_Other(bpy.types.Panel):
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icon='URL').url = "https://github.com/torrinworx/Blend_My_NFTs"
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row = layout.row()
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row.operator("wm.url_open", text="YouTube Tutorials",
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icon='URL').url = "https://www.youtube.com/watch?v=ygKJYz4BjRs&list=PLuVvzaanutXcYtWmPVKu2bx83EYNxLRsX"
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row.operator(
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"wm.url_open",
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text="YouTube Tutorials",
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icon='URL'
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).url = "https://www.youtube.com/watch?v=ygKJYz4BjRs&list=PLuVvzaanutXcYtWmPVKu2bx83EYNxLRsX"
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row = layout.row()
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row.operator("wm.url_open", text="Join Our Discord Community!",
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icon='URL').url = "https://discord.gg/UpZt5Un57t"
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@ -5,11 +5,19 @@ import os
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import time
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import json
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import random
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import logging
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import traceback
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from functools import partial
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from . import logic, material_generator, helpers
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from .helpers import TextColors
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logging.basicConfig(
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level=logging.INFO,
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format='[%(levelname)s][%(asctime)s]\n%(message)s\n',
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datefmt='%Y-%m-%d %H:%M:%S'
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)
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def generate_nft_dna(
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collection_size,
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@ -18,7 +26,6 @@ def generate_nft_dna(
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logic_file,
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enable_materials,
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materials_file,
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enable_debug
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):
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"""
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Returns batchDataDictionary containing the number of NFT combinations, hierarchy, and the dna_list.
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@ -95,7 +102,7 @@ def generate_nft_dna(
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single_dna = ''.join(single_dna.split('-', 1))
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return single_dna
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def singleCompleteDNA():
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def single_complete_dna():
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"""
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This function applies Rarity and Logic to a single DNA created by createDNASingle() if Rarity or Logic specified
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"""
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@ -103,21 +110,25 @@ def generate_nft_dna(
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single_dna = ""
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if not enable_rarity:
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single_dna = create_dna_random(hierarchy)
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# print("============")
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# print(f"Original DNA: {single_dna}")
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logging.debug(f"============\nOriginal DNA: {single_dna}")
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print("============")
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print(f"Original DNA: {single_dna}")
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if enable_rarity:
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single_dna = create_dna_rarity(hierarchy)
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# print(f"Rarity DNA: {single_dna}")
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logging.debug(f"Rarity DNA: {single_dna}")
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print(f"Rarity DNA: {single_dna}")
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if enable_logic:
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single_dna = logic.logicafy_dna_single(hierarchy, single_dna, logic_file, enable_rarity)
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# print(f"Logic DNA: {single_dna}")
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logging.debug(f"Logic DNA: {single_dna}")
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print(f"Logic DNA: {single_dna}")
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if enable_materials:
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single_dna = material_generator.apply_materials(hierarchy, single_dna, materials_file, enable_rarity)
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# print(f"Materials DNA: {single_dna}")
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# print("============\n")
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logging.debug(f"Materials DNA: {single_dna}\n============\n")
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print(f"Materials DNA: {single_dna}")
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print("============\n")
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return single_dna
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@ -129,7 +140,7 @@ def generate_nft_dna(
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dna_set_return = set()
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for i in range(collection_size):
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dna_push_to_list = partial(singleCompleteDNA)
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dna_push_to_list = partial(single_complete_dna)
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dna_set_return |= {''.join([dna_push_to_list()]) for _ in range(collection_size - len(dna_set_return))}
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@ -151,8 +162,6 @@ def generate_nft_dna(
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dna_list = create_dna_list()
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# Messages:
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helpers.raise_warning_collection_size(dna_list, collection_size)
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# Data stored in batchDataDictionary:
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@ -234,7 +243,8 @@ def send_to_record(
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materials_file,
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blend_my_nfts_output,
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batch_json_save_path,
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enable_debug
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enable_debug,
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log_path
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):
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"""
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Creates NFTRecord.json file and sends "batch_data_dictionary" to it. NFTRecord.json is a permanent record of all DNA
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@ -243,6 +253,12 @@ def send_to_record(
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repeat DNA.
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"""
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if enable_debug:
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logging.basicConfig(
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filename=os.path.join(log_path, "BMNFTS_Log.txt"),
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level=logging.DEBUG
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)
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# Checking Scene is compatible with BMNFTs:
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helpers.check_scene()
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@ -280,7 +296,6 @@ def send_to_record(
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logic_file,
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enable_materials,
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materials_file,
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enable_debug,
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)
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nft_record_save_path = os.path.join(blend_my_nfts_output, "NFTRecord.json")
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@ -96,6 +96,7 @@ def save_generation_state(input):
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"receiver_to": input.receiver_to,
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"enable_debug": input.enable_debug,
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"log_path": input.log_path,
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"custom_fields": input.custom_fields,
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},
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@ -258,9 +259,9 @@ def render_and_save_nfts(input):
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except KeyError:
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raise TypeError(
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f"\n{TextColors.ERROR}Blend_My_NFTs Error:\n"
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f"The Collection '{j}' appears to be missing or has been renamed. If you made any changes to "
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f"your .blend file scene, ensure you re-create your NFT Data so Blend_My_NFTs can read your "
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f"scene. For more information see:{TextColors.RESET}"
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f"The Collection '{j}' appears to be missing or has been renamed. If you made any changes "
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f"to your .blend file scene, ensure you re-create your NFT Data so Blend_My_NFTs can read "
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f"your scene. For more information see:{TextColors.RESET}"
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f"\nhttps://github.com/torrinworx/Blend_My_NFTs#blender-file-organization-and-structure\n"
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)
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@ -354,7 +355,7 @@ def render_and_save_nfts(input):
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if not os.path.exists(animation_folder):
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os.makedirs(animation_folder)
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if input.animation_file_format =="MP4":
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if input.animation_file_format == 'MP4':
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bpy.context.scene.render.filepath = animation_path
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bpy.context.scene.render.image_settings.file_format = "FFMPEG"
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@ -362,7 +363,7 @@ def render_and_save_nfts(input):
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bpy.context.scene.render.ffmpeg.codec = 'H264'
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bpy.ops.render.render(animation=True)
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elif input.animation_file_format =='PNG':
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elif input.animation_file_format == 'PNG':
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if not os.path.exists(animation_path):
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os.makedirs(animation_path)
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@ -370,7 +371,7 @@ def render_and_save_nfts(input):
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bpy.context.scene.render.image_settings.file_format = input.animation_file_format
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bpy.ops.render.render(animation=True)
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elif input.animation_file_format =='TIFF':
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elif input.animation_file_format == 'TIFF':
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if not os.path.exists(animation_path):
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os.makedirs(animation_path)
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@ -421,7 +422,7 @@ def render_and_save_nfts(input):
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# if obj.name in remove_objects:
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# obj.select_set(False)
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if input.model_file_format =='GLB':
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if input.model_file_format == 'GLB':
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check_failed_exists(f"{model_path}.glb")
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bpy.ops.export_scene.gltf(
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filepath=f"{model_path}.glb",
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@ -430,7 +431,7 @@ def render_and_save_nfts(input):
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export_keep_originals=True,
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use_selection=True
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)
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if input.model_file_format =='GLTF_SEPARATE':
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if input.model_file_format == 'GLTF_SEPARATE':
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check_failed_exists(f"{model_path}.gltf")
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check_failed_exists(f"{model_path}.bin")
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bpy.ops.export_scene.gltf(
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@ -440,7 +441,7 @@ def render_and_save_nfts(input):
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export_keep_originals=True,
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use_selection=True
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)
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if input.model_file_format =='GLTF_EMBEDDED':
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if input.model_file_format == 'GLTF_EMBEDDED':
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check_failed_exists(f"{model_path}.gltf")
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bpy.ops.export_scene.gltf(
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filepath=f"{model_path}.gltf",
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@ -449,35 +450,35 @@ def render_and_save_nfts(input):
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export_keep_originals=True,
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use_selection=True
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)
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elif input.model_file_format =='FBX':
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elif input.model_file_format == 'FBX':
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check_failed_exists(f"{model_path}.fbx")
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bpy.ops.export_scene.fbx(
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filepath=f"{model_path}.fbx",
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check_existing=True,
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use_selection=True
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)
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elif input.model_file_format =='OBJ':
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elif input.model_file_format == 'OBJ':
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check_failed_exists(f"{model_path}.obj")
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bpy.ops.export_scene.obj(
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filepath=f"{model_path}.obj",
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check_existing=True,
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use_selection=True,
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)
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elif input.model_file_format =='X3D':
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elif input.model_file_format == 'X3D':
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check_failed_exists(f"{model_path}.x3d")
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bpy.ops.export_scene.x3d(
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filepath=f"{model_path}.x3d",
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check_existing=True,
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use_selection=True
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)
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elif input.model_file_format =='STL':
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elif input.model_file_format == 'STL':
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check_failed_exists(f"{model_path}.stl")
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bpy.ops.export_mesh.stl(
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filepath=f"{model_path}.stl",
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check_existing=True,
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use_selection=True
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)
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elif input.model_file_format =='VOX':
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elif input.model_file_format == 'VOX':
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check_failed_exists(f"{model_path}.vox")
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bpy.ops.export_vox.some_data(filepath=f"{model_path}.vox")
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@ -577,7 +578,12 @@ def render_and_save_nfts(input):
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batch_info = {"Batch Render Time": batch_complete_time, "Number of NFTs generated in Batch": x - 1,
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"Average time per generation": batch_complete_time / x - 1}
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batch_info_folder = os.path.join(input.nft_batch_save_path, "Batch" + str(input.batch_to_generate), "batch_info.json")
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batch_info_folder = os.path.join(
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input.nft_batch_save_path,
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"Batch" + str(input.batch_to_generate),
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"batch_info.json"
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)
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save_batch(batch_info, batch_info_folder)
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# Send Email that Batch is complete:
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@ -10,23 +10,6 @@ from shutil import get_terminal_size
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from collections import Counter, defaultdict
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# ======== ENABLE DEBUG ======== #
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# This section is used for debugging, coding, or general testing purposes.
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def enable_debug(enable_debug_bool):
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if enable_debug_bool:
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import logging
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logging.basicConfig(
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filename="./log.txt",
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level=logging.DEBUG,
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format='[%(levelname)s][%(asctime)s]\n%(message)s\n',
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datefmt='%Y-%m-%d %H:%M:%S'
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)
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# ======== CONSTANTS ======== #
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# Constants are used for storing or updating constant values that may need to be changes depending on system
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@ -29,7 +29,6 @@ def send_to_record(input, reverse_order=False):
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"IF": item_list1.split(','),
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rule_type: item_list2.split(',')
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}
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print(rule_type)
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num += 1
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else:
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input.logic_file = {}
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@ -42,8 +41,6 @@ def send_to_record(input, reverse_order=False):
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"IF": item_list1.split(','),
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rule_type: item_list2.split(',')
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}
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print(rule_type)
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num += 1
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dna_generator.send_to_record(
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@ -58,6 +55,7 @@ def send_to_record(input, reverse_order=False):
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input.blend_my_nfts_output,
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input.batch_json_save_path,
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input.enable_debug,
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input.log_path
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)
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@ -261,7 +261,6 @@ def logicafy_dna_single(hierarchy, single_dna, logic_file, enable_rarity):
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did_reconstruct = False
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for rule in logic_file:
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# Items from 'IF' key for a given rule
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print(logic_file)
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if_dict = create_dicts(hierarchy, logic_file[rule]["IF"], "IF")
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result_dict_type = ""
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