auto-draft / api_wrapper.py
shaocongma
Reformat LLM interaction logic. Update prompts.
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'''
This script is used to wrap all generation methods together.
todo:
A worker keeps running on the server. Monitor the Amazon SQS. Once receive a new message, do the following:
Download the corresponding configuration files on S3.
Change Task status from Pending to Running.
Call `generator_wrapper` and wait for the outputs.
If `generator_wrapper` returns results:
evaluate the results; compile it; upload results to S3 ... Change Task status from Running to Completed.
If anything goes wrong, raise Error.
If `generator_wrapper` returns nothing or Timeout, or raise any error:
Change Task status from Running to Failed.
'''
import os.path
from auto_backgrounds import generate_draft
import json, time
from utils.file_operations import make_archive
GENERATOR_MAPPING = {"fake": None, # a fake generator
"draft": generate_draft # generate academic paper
}
def generator_wrapper(config):
generator = GENERATOR_MAPPING[config["generator"]]
def generator_wrapper_from_json(path_to_config_json):
# Read configuration file and call corresponding function
with open(path_to_config_json, "r", encoding='utf-8') as f:
config = json.load(f)
print("Configuration:", config)
# generator = GENERATOR_MAPPING.get(config["generator"])
generator = None
if generator is None:
# generate a fake ZIP file and upload
time.sleep(150)
zip_path = os.path.splitext(path_to_config_json)[0]+".zip"
return make_archive(path_to_config_json, zip_path)