Anil Matcha
41e3404a73
Ships ready-to-load ComfyUI workflow JSONs in workflows/ for T2I, I2I, T2V, I2V, video extend/edit/upscale/lipsync, image enhance (face-swap, upscale, bg-remove, ghibli, product-shot), audio, generic raw-JSON, and two multi-step chains (T2I->I2V, I2I->upscale). Includes a README index and a single-source generator script.
612 lines
24 KiB
Python
612 lines
24 KiB
Python
"""
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Generates example ComfyUI workflow JSON files for the MuAPI node pack.
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Run: python workflows/_generate_workflows.py
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Outputs *.json files into the same directory.
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Each spec describes nodes by display-friendly handles; the generator
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expands them into the full ComfyUI graph format with proper links.
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"""
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import json
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import os
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from pathlib import Path
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OUT_DIR = Path(__file__).parent
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# ── Node widget signatures ────────────────────────────────────────────────────
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# Order MUST match INPUT_TYPES iteration in muapi_nodes.py:
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# required first, then optional.
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WIDGETS = {
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"MuAPIApiKey": ["api_key"],
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"MuAPITextToImage": ["model", "prompt", "aspect_ratio",
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"api_key", "negative_prompt", "custom_endpoint", "extra_params_json"],
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"MuAPIImageToImage": ["model", "prompt",
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"api_key", "custom_endpoint", "extra_params_json"],
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"MuAPITextToVideo": ["model", "prompt", "aspect_ratio", "quality", "duration",
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"api_key", "custom_endpoint", "extra_params_json"],
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"MuAPIImageToVideo": ["model", "prompt", "aspect_ratio", "quality", "duration",
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"api_key", "custom_endpoint", "extra_params_json"],
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"MuAPIExtendVideo": ["model", "request_id", "quality", "duration",
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"api_key", "custom_endpoint", "extra_params_json"],
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"MuAPIImageEnhance": ["model",
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"api_key", "custom_endpoint", "extra_params_json"],
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"MuAPIVideoEdit": ["model", "video_url",
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"api_key", "prompt", "custom_endpoint", "extra_params_json"],
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"MuAPILipsync": ["model", "video_url", "audio_url",
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"api_key", "audio_file_path", "custom_endpoint", "extra_params_json"],
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"MuAPIAudio": ["model", "prompt",
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"api_key", "custom_endpoint", "extra_params_json"],
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"MuAPIGenerate": ["endpoint", "payload_json",
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"api_key", "file_path_1", "file_path_2"],
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"MuAPIVideoSaver": ["video_url", "save_subfolder", "filename_prefix",
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"frame_load_cap", "skip_first_frames", "select_every_nth"],
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# built-in nodes
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"LoadImage": ["image", "upload"],
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"PreviewImage": [],
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"SaveImage": ["filename_prefix"],
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}
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# Connection-only inputs (IMAGE type, etc.) that are NOT widgets.
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IMG_INPUTS = {
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"MuAPIImageToImage": ["image"],
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"MuAPIImageToVideo": ["image_1", "image_2", "image_3", "image_4"],
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"MuAPIImageEnhance": ["image", "swap_image"],
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"MuAPIVideoEdit": ["secondary_image"],
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"MuAPIGenerate": ["file_1", "file_2", "file_3", "file_4"],
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"PreviewImage": ["images"],
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"SaveImage": ["images"],
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"MuAPIVideoSaver": [],
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}
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# Output slots in order.
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OUTPUTS = {
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"MuAPIApiKey": [("api_key", "STRING")],
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"MuAPITextToImage": [("image", "IMAGE"), ("image_url", "STRING"), ("request_id", "STRING")],
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"MuAPIImageToImage": [("image", "IMAGE"), ("image_url", "STRING"), ("request_id", "STRING")],
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"MuAPITextToVideo": [("video_url", "STRING"), ("first_frame", "IMAGE"), ("request_id", "STRING")],
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"MuAPIImageToVideo": [("video_url", "STRING"), ("first_frame", "IMAGE"), ("request_id", "STRING")],
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"MuAPIExtendVideo": [("video_url", "STRING"), ("first_frame", "IMAGE"), ("new_request_id", "STRING")],
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"MuAPIImageEnhance": [("image", "IMAGE"), ("image_url", "STRING"), ("request_id", "STRING")],
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"MuAPIVideoEdit": [("video_url", "STRING"), ("first_frame", "IMAGE"), ("request_id", "STRING")],
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"MuAPILipsync": [("video_url", "STRING"), ("first_frame", "IMAGE"), ("request_id", "STRING")],
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"MuAPIAudio": [("audio_url", "STRING"), ("request_id", "STRING")],
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"MuAPIGenerate": [("output_url", "STRING"), ("preview", "IMAGE"),
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("request_id", "STRING"), ("raw_result_json", "STRING")],
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"MuAPIVideoSaver": [("frames", "IMAGE"), ("filepath", "STRING"), ("frame_count", "INT")],
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"LoadImage": [("IMAGE", "IMAGE"), ("MASK", "MASK")],
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"PreviewImage": [],
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"SaveImage": [],
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}
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def build(spec):
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"""spec = {nodes: [...], links: [(src_handle, src_slot, dst_handle, dst_slot), ...]}"""
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nodes_out, links_out = [], []
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handles = {}
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nid = 0
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lid = 0
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x = 40
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for n in spec["nodes"]:
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nid += 1
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handle = n["handle"]
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ntype = n["type"]
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widgets = n.get("widgets", {})
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widget_order = WIDGETS.get(ntype, [])
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widget_vals = [widgets.get(w, _default(ntype, w)) for w in widget_order]
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inputs = []
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for inp_name in IMG_INPUTS.get(ntype, []):
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inputs.append({"name": inp_name, "type": _input_type(ntype, inp_name), "link": None})
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outputs = []
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for out_name, out_type in OUTPUTS.get(ntype, []):
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outputs.append({"name": out_name, "type": out_type, "links": [], "slot_index": len(outputs)})
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node = {
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"id": nid,
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"type": ntype,
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"pos": [x, 60 + (nid % 3) * 320],
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"size": [340, 240],
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"flags": {},
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"order": nid - 1,
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"mode": 0,
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"inputs": inputs,
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"outputs": outputs,
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"properties": {"Node name for S&R": ntype},
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"widgets_values": widget_vals,
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}
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nodes_out.append(node)
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handles[handle] = node
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x += 380
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for src_h, src_slot, dst_h, dst_slot in spec.get("links", []):
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lid += 1
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src = handles[src_h]
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dst = handles[dst_h]
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out = src["outputs"][src_slot]
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inp = dst["inputs"][dst_slot]
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out["links"].append(lid)
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inp["link"] = lid
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links_out.append([lid, src["id"], src_slot, dst["id"], dst_slot, out["type"]])
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return {
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"last_node_id": nid,
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"last_link_id": lid,
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"nodes": nodes_out,
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"links": links_out,
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"groups": [],
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"config": {},
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"extra": {"ds": {"scale": 1.0, "offset": [0, 0]}},
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"version": 0.4,
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}
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def _input_type(ntype, name):
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if name in ("file_1", "file_2", "file_3", "file_4",
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"image", "image_1", "image_2", "image_3", "image_4",
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"swap_image", "secondary_image", "images"):
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return "IMAGE"
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return "STRING"
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def _default(ntype, w):
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defaults = {
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"api_key": "", "custom_endpoint": "", "extra_params_json": "{}",
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"negative_prompt": "", "filename_prefix": "muapi", "save_subfolder": "muapi_videos",
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"frame_load_cap": 0, "skip_first_frames": 0, "select_every_nth": 1,
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"audio_file_path": "", "audio_url": "", "video_url": "",
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"request_id": "", "file_path_1": "", "file_path_2": "",
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"image": "example.png", "upload": "image",
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}
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return defaults.get(w, "")
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# ── Workflow specs ─────────────────────────────────────────────────────────────
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WORKFLOWS = {
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"MuAPI_Basic_TextToImage_Flux.json": {
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"nodes": [
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{"handle": "t2i", "type": "MuAPITextToImage", "widgets": {
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"model": "flux-dev-image",
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"prompt": "A photorealistic portrait of an astronaut on Mars, cinematic lighting, 35mm film",
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"aspect_ratio": "1:1",
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}},
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{"handle": "preview", "type": "PreviewImage"},
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],
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"links": [("t2i", 0, "preview", 0)],
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},
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"MuAPI_TextToImage_Imagen4.json": {
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"nodes": [
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{"handle": "t2i", "type": "MuAPITextToImage", "widgets": {
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"model": "google-imagen4-ultra",
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"prompt": "Macro photo of a dewdrop on a red maple leaf, sunrise",
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"aspect_ratio": "16:9",
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}},
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{"handle": "save", "type": "SaveImage", "widgets": {"filename_prefix": "imagen4"}},
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],
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"links": [("t2i", 0, "save", 0)],
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},
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"MuAPI_TextToImage_Seedream5.json": {
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"nodes": [
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{"handle": "t2i", "type": "MuAPITextToImage", "widgets": {
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"model": "seedream-5.0",
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"prompt": "Studio Ghibli inspired countryside village at golden hour",
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"aspect_ratio": "3:2",
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}},
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{"handle": "preview", "type": "PreviewImage"},
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],
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"links": [("t2i", 0, "preview", 0)],
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},
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"MuAPI_TextToImage_GPT_Image.json": {
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"nodes": [
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{"handle": "t2i", "type": "MuAPITextToImage", "widgets": {
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"model": "gpt-image-1.5",
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"prompt": "Vintage travel poster of Tokyo, bold typography, retro print textures",
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"aspect_ratio": "9:16",
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}},
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{"handle": "preview", "type": "PreviewImage"},
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],
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"links": [("t2i", 0, "preview", 0)],
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},
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"MuAPI_TextToImage_HiDream.json": {
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"nodes": [
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{"handle": "t2i", "type": "MuAPITextToImage", "widgets": {
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"model": "hidream_i1_full_image",
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"prompt": "Hyperrealistic cyberpunk samurai under neon rain, ultra detail",
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"aspect_ratio": "9:16",
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}},
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{"handle": "preview", "type": "PreviewImage"},
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],
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"links": [("t2i", 0, "preview", 0)],
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},
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"MuAPI_ImageToImage_FluxKontext.json": {
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"nodes": [
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{"handle": "load", "type": "LoadImage"},
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{"handle": "i2i", "type": "MuAPIImageToImage", "widgets": {
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"model": "flux-kontext-pro-i2i",
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"prompt": "Make this a moody black-and-white film still",
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}},
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{"handle": "preview", "type": "PreviewImage"},
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],
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"links": [("load", 0, "i2i", 0), ("i2i", 0, "preview", 0)],
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},
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"MuAPI_ImageToImage_Seededit.json": {
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"nodes": [
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{"handle": "load", "type": "LoadImage"},
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{"handle": "i2i", "type": "MuAPIImageToImage", "widgets": {
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"model": "bytedance-seededit-image",
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"prompt": "Replace the background with snowy mountains at sunrise",
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}},
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{"handle": "preview", "type": "PreviewImage"},
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],
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"links": [("load", 0, "i2i", 0), ("i2i", 0, "preview", 0)],
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},
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"MuAPI_ImageToImage_GPT4o_Edit.json": {
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"nodes": [
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{"handle": "load", "type": "LoadImage"},
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{"handle": "i2i", "type": "MuAPIImageToImage", "widgets": {
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"model": "gpt4o-edit",
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"prompt": "Add a cat sitting on the chair in the foreground",
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}},
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{"handle": "preview", "type": "PreviewImage"},
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],
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"links": [("load", 0, "i2i", 0), ("i2i", 0, "preview", 0)],
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},
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"MuAPI_TextToVideo_Seedance.json": {
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"nodes": [
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{"handle": "t2v", "type": "MuAPITextToVideo", "widgets": {
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"model": "seedance-v2.0-t2v",
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"prompt": "Aerial shot flying over a misty rainforest at dawn",
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"aspect_ratio": "16:9", "quality": "basic", "duration": 5,
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}},
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{"handle": "save", "type": "MuAPIVideoSaver", "widgets": {
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"save_subfolder": "muapi_videos", "filename_prefix": "seedance",
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}},
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],
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# Wire video_url (out 0) into the saver's video_url widget — convert widget to input.
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# For simplicity here, the saver also has video_url as its first widget; user can paste manually
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# or right-click → convert to input. Most workflows wire it via the link below.
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"links": [], # handled with a note below
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},
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"MuAPI_TextToVideo_Veo3.json": {
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"nodes": [
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{"handle": "t2v", "type": "MuAPITextToVideo", "widgets": {
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"model": "veo3.1-text-to-video",
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"prompt": "A cinematic tracking shot of a wolf walking through a snowy forest",
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"aspect_ratio": "16:9", "quality": "high", "duration": 8,
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}},
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{"handle": "save", "type": "MuAPIVideoSaver", "widgets": {
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"save_subfolder": "muapi_videos", "filename_prefix": "veo3",
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}},
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],
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"links": [],
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},
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"MuAPI_TextToVideo_Kling.json": {
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"nodes": [
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{"handle": "t2v", "type": "MuAPITextToVideo", "widgets": {
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"model": "kling-v2.6-pro-t2v",
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"prompt": "A dragon soaring above a medieval castle, epic cinematic shot",
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"aspect_ratio": "16:9", "quality": "high", "duration": 5,
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}},
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{"handle": "save", "type": "MuAPIVideoSaver", "widgets": {
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"save_subfolder": "muapi_videos", "filename_prefix": "kling",
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}},
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],
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"links": [],
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},
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"MuAPI_ImageToVideo_Seedance.json": {
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"nodes": [
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{"handle": "load", "type": "LoadImage"},
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{"handle": "i2v", "type": "MuAPIImageToVideo", "widgets": {
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"model": "seedance-v2.0-i2v",
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"prompt": "The character in @image1 starts dancing under spotlight",
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"aspect_ratio": "9:16", "quality": "basic", "duration": 5,
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}},
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{"handle": "save", "type": "MuAPIVideoSaver", "widgets": {
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"save_subfolder": "muapi_videos", "filename_prefix": "seedance_i2v",
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}},
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],
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"links": [("load", 0, "i2v", 0)],
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},
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"MuAPI_ImageToVideo_Veo3.json": {
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"nodes": [
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{"handle": "load", "type": "LoadImage"},
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{"handle": "i2v", "type": "MuAPIImageToVideo", "widgets": {
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"model": "veo3.1-image-to-video",
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"prompt": "Slow cinematic push-in. Subject smiles and turns toward the camera.",
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"aspect_ratio": "16:9", "quality": "high", "duration": 8,
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}},
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{"handle": "save", "type": "MuAPIVideoSaver", "widgets": {
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"save_subfolder": "muapi_videos", "filename_prefix": "veo3_i2v",
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}},
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],
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"links": [("load", 0, "i2v", 0)],
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},
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"MuAPI_ImageToVideo_4References.json": {
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"nodes": [
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{"handle": "img1", "type": "LoadImage"},
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{"handle": "img2", "type": "LoadImage"},
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{"handle": "img3", "type": "LoadImage"},
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{"handle": "img4", "type": "LoadImage"},
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{"handle": "i2v", "type": "MuAPIImageToVideo", "widgets": {
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"model": "seedance-2.0-new-omni",
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"prompt": "Combine the characters from @image1 and @image2 in the setting from @image3, styled like @image4. Cinematic shot.",
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"aspect_ratio": "16:9", "quality": "high", "duration": 5,
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}},
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{"handle": "save", "type": "MuAPIVideoSaver", "widgets": {
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"save_subfolder": "muapi_videos", "filename_prefix": "omni_4ref",
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}},
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],
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"links": [
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("img1", 0, "i2v", 0),
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("img2", 0, "i2v", 1),
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("img3", 0, "i2v", 2),
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("img4", 0, "i2v", 3),
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],
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},
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"MuAPI_ExtendVideo.json": {
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"nodes": [
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{"handle": "t2v", "type": "MuAPITextToVideo", "widgets": {
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"model": "seedance-v2.0-t2v",
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"prompt": "Time-lapse of clouds rolling over mountain peaks",
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"aspect_ratio": "16:9", "quality": "basic", "duration": 5,
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}},
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{"handle": "extend", "type": "MuAPIExtendVideo", "widgets": {
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"model": "seedance-v2.0-extend",
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"quality": "basic", "duration": 5,
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}},
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{"handle": "save", "type": "MuAPIVideoSaver", "widgets": {
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"save_subfolder": "muapi_videos", "filename_prefix": "extended",
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}},
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],
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# request_id (out 2) → extend.request_id widget — left as widget; user pastes.
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"links": [],
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},
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"MuAPI_FaceSwap.json": {
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"nodes": [
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{"handle": "base", "type": "LoadImage"},
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{"handle": "face", "type": "LoadImage"},
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{"handle": "swap", "type": "MuAPIImageEnhance", "widgets": {
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"model": "ai-image-face-swap",
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}},
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{"handle": "preview", "type": "PreviewImage"},
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],
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"links": [
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("base", 0, "swap", 0),
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("face", 0, "swap", 1),
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("swap", 0, "preview", 0),
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],
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},
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"MuAPI_Upscale_Topaz.json": {
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"nodes": [
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{"handle": "load", "type": "LoadImage"},
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{"handle": "up", "type": "MuAPIImageEnhance", "widgets": {
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"model": "topaz-image-upscale",
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"extra_params_json": '{"scale": 4}',
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}},
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{"handle": "save", "type": "SaveImage", "widgets": {"filename_prefix": "topaz_4x"}},
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],
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"links": [("load", 0, "up", 0), ("up", 0, "save", 0)],
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},
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"MuAPI_BackgroundRemover.json": {
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"nodes": [
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{"handle": "load", "type": "LoadImage"},
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{"handle": "rm", "type": "MuAPIImageEnhance", "widgets": {
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"model": "ai-background-remover",
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}},
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{"handle": "save", "type": "SaveImage", "widgets": {"filename_prefix": "no_bg"}},
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],
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"links": [("load", 0, "rm", 0), ("rm", 0, "save", 0)],
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},
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"MuAPI_Ghibli_Style.json": {
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"nodes": [
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{"handle": "load", "type": "LoadImage"},
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{"handle": "ghibli", "type": "MuAPIImageEnhance", "widgets": {
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"model": "ai-ghibli-style",
|
|
}},
|
|
{"handle": "preview", "type": "PreviewImage"},
|
|
],
|
|
"links": [("load", 0, "ghibli", 0), ("ghibli", 0, "preview", 0)],
|
|
},
|
|
|
|
"MuAPI_ProductShot.json": {
|
|
"nodes": [
|
|
{"handle": "load", "type": "LoadImage"},
|
|
{"handle": "ps", "type": "MuAPIImageEnhance", "widgets": {
|
|
"model": "ai-product-shot",
|
|
"extra_params_json": '{"prompt": "on a marble countertop with soft window light"}',
|
|
}},
|
|
{"handle": "preview", "type": "PreviewImage"},
|
|
],
|
|
"links": [("load", 0, "ps", 0), ("ps", 0, "preview", 0)],
|
|
},
|
|
|
|
"MuAPI_VideoUpscale_Topaz.json": {
|
|
"nodes": [
|
|
{"handle": "edit", "type": "MuAPIVideoEdit", "widgets": {
|
|
"model": "topaz-video-upscale",
|
|
"extra_params_json": '{"scale": 2}',
|
|
}},
|
|
{"handle": "save", "type": "MuAPIVideoSaver", "widgets": {
|
|
"save_subfolder": "muapi_videos", "filename_prefix": "topaz_video",
|
|
}},
|
|
],
|
|
"links": [],
|
|
},
|
|
|
|
"MuAPI_VideoEdit_Effects.json": {
|
|
"nodes": [
|
|
{"handle": "edit", "type": "MuAPIVideoEdit", "widgets": {
|
|
"model": "video-effects",
|
|
"prompt": "Apply a vintage film grain and warm color grade",
|
|
}},
|
|
{"handle": "save", "type": "MuAPIVideoSaver", "widgets": {
|
|
"save_subfolder": "muapi_videos", "filename_prefix": "vfx",
|
|
}},
|
|
],
|
|
"links": [],
|
|
},
|
|
|
|
"MuAPI_Lipsync_Sync.json": {
|
|
"nodes": [
|
|
{"handle": "lip", "type": "MuAPILipsync", "widgets": {
|
|
"model": "sync-lipsync",
|
|
}},
|
|
{"handle": "save", "type": "MuAPIVideoSaver", "widgets": {
|
|
"save_subfolder": "muapi_videos", "filename_prefix": "lipsync",
|
|
}},
|
|
],
|
|
"links": [],
|
|
},
|
|
|
|
"MuAPI_Audio_Suno.json": {
|
|
"nodes": [
|
|
{"handle": "audio", "type": "MuAPIAudio", "widgets": {
|
|
"model": "suno-create-music",
|
|
"prompt": "Upbeat indie pop with bright synths and a catchy chorus",
|
|
}},
|
|
],
|
|
"links": [],
|
|
},
|
|
|
|
"MuAPI_Generic_RawJSON.json": {
|
|
"nodes": [
|
|
{"handle": "img", "type": "LoadImage"},
|
|
{"handle": "gen", "type": "MuAPIGenerate", "widgets": {
|
|
"endpoint": "ai-image-face-swap",
|
|
"payload_json": json.dumps({
|
|
"image_url": "__file_1__",
|
|
"swap_url": "__file_2__",
|
|
"target_index": 0
|
|
}, indent=2),
|
|
}},
|
|
{"handle": "preview", "type": "PreviewImage"},
|
|
],
|
|
"links": [
|
|
("img", 0, "gen", 0),
|
|
("gen", 1, "preview", 0),
|
|
],
|
|
},
|
|
|
|
"MuAPI_Chain_T2I_to_I2V.json": {
|
|
"nodes": [
|
|
{"handle": "t2i", "type": "MuAPITextToImage", "widgets": {
|
|
"model": "flux-2-pro",
|
|
"prompt": "Hero portrait of a knight in glowing armor, cinematic key light",
|
|
"aspect_ratio": "9:16",
|
|
}},
|
|
{"handle": "i2v", "type": "MuAPIImageToVideo", "widgets": {
|
|
"model": "veo3.1-image-to-video",
|
|
"prompt": "The knight slowly raises their sword. Cinematic camera dolly-in.",
|
|
"aspect_ratio": "9:16", "quality": "high", "duration": 5,
|
|
}},
|
|
{"handle": "save", "type": "MuAPIVideoSaver", "widgets": {
|
|
"save_subfolder": "muapi_videos", "filename_prefix": "t2i_to_i2v",
|
|
}},
|
|
],
|
|
"links": [("t2i", 0, "i2v", 0)],
|
|
},
|
|
|
|
"MuAPI_Chain_I2I_then_Upscale.json": {
|
|
"nodes": [
|
|
{"handle": "load", "type": "LoadImage"},
|
|
{"handle": "i2i", "type": "MuAPIImageToImage", "widgets": {
|
|
"model": "flux-kontext-max-i2i",
|
|
"prompt": "Convert to a watercolour painting on textured paper",
|
|
}},
|
|
{"handle": "up", "type": "MuAPIImageEnhance", "widgets": {
|
|
"model": "topaz-image-upscale",
|
|
"extra_params_json": '{"scale": 2}',
|
|
}},
|
|
{"handle": "save", "type": "SaveImage", "widgets": {"filename_prefix": "watercolour_4k"}},
|
|
],
|
|
"links": [
|
|
("load", 0, "i2i", 0),
|
|
("i2i", 0, "up", 0),
|
|
("up", 0, "save", 0),
|
|
],
|
|
},
|
|
|
|
"MuAPI_ApiKey_Hub.json": {
|
|
# Standalone reference workflow showing the API Key node wired to a T2I.
|
|
# In ComfyUI you'll need to right-click the T2I 'api_key' widget → 'Convert to input'
|
|
# for the link to take effect; this file ships with that conversion already applied
|
|
# via the inputs list.
|
|
"nodes": [
|
|
{"handle": "key", "type": "MuAPIApiKey", "widgets": {"api_key": ""}},
|
|
{"handle": "t2i", "type": "MuAPITextToImage", "widgets": {
|
|
"model": "flux-dev-image",
|
|
"prompt": "Sunset over a desert canyon, ultra-wide cinematic shot",
|
|
"aspect_ratio": "16:9",
|
|
}},
|
|
{"handle": "preview", "type": "PreviewImage"},
|
|
],
|
|
"links": [("t2i", 0, "preview", 0)],
|
|
# api_key wiring handled in post-process
|
|
"post": "wire_api_key",
|
|
},
|
|
}
|
|
|
|
|
|
def post_wire_api_key(graph):
|
|
"""Convert the api_key widget on the T2I node into an input wired from the API Key node."""
|
|
key_node = next(n for n in graph["nodes"] if n["type"] == "MuAPIApiKey")
|
|
t2i_node = next(n for n in graph["nodes"] if n["type"] == "MuAPITextToImage")
|
|
|
|
# Find api_key widget index for T2I.
|
|
widget_names = WIDGETS["MuAPITextToImage"]
|
|
ak_idx = widget_names.index("api_key")
|
|
|
|
# Add as input with widget reference.
|
|
graph["last_link_id"] += 1
|
|
lid = graph["last_link_id"]
|
|
new_input = {"name": "api_key", "type": "STRING", "link": lid,
|
|
"widget": {"name": "api_key"}}
|
|
t2i_node["inputs"].append(new_input)
|
|
key_node["outputs"][0]["links"].append(lid)
|
|
graph["links"].append([lid, key_node["id"], 0, t2i_node["id"],
|
|
len(t2i_node["inputs"]) - 1, "STRING"])
|
|
# Blank the widget value (still keep the slot in widgets_values).
|
|
t2i_node["widgets_values"][ak_idx] = ""
|
|
|
|
|
|
POST = {"wire_api_key": post_wire_api_key}
|
|
|
|
|
|
def main():
|
|
written = []
|
|
for name, spec in WORKFLOWS.items():
|
|
graph = build(spec)
|
|
if "post" in spec:
|
|
POST[spec["post"]](graph)
|
|
path = OUT_DIR / name
|
|
path.write_text(json.dumps(graph, indent=2))
|
|
written.append(name)
|
|
print(f"Wrote {len(written)} workflows to {OUT_DIR}")
|
|
for n in written:
|
|
print(f" - {n}")
|
|
|
|
|
|
if __name__ == "__main__":
|
|
main()
|