script to update a doc page with chatgpt (#451)
Co-authored-by: burnettk <burnettk@users.noreply.github.com>
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# Sub-Processes and Call Activities
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Both sub-processes and call activities are useful for simplifying and organizing complex workflows by organizing workflows within a larger process.
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Sub-processes and call activities are both useful for simplifying and organizing complex workflows within larger processes. They have distinct purposes and are used in different scenarios.
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**Reasons to use a Sub-Processes or Call Activities:**
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**Reasons to use a Sub-Process or Call Activity:**
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- Consolidate tasks that have either common features or collaboratively form a distinct functionality. For instance, a Notification Gateway, which includes script tasks and a service task, works together to construct and send a notification like an email.
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- Consolidating tasks with common features or forming a distinct functionality, such as a Notification Gateway that constructs and sends notifications like emails.
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- Group tasks where a boundary event can be efficiently applied to the entire group. For instance, instead of individually assigning a condition or timer to each task, all tasks can be included within a sub-process or call activity, where the condition or timer inherently applies to all contained tasks.
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- Grouping tasks where a boundary event can efficiently be applied to the entire group, avoiding the need to assign conditions or timers individually to each task.
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## Call Process
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![active_call_process](images/active_call_process.png)
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A call process is similar to a sub-process in that it encapsulates part of a workflow, but it is designed to be reused across multiple different processes. It's essentially a stand-alone process that can be "called" into action as required by other processes. Using a call process can help to eliminate redundancy and ensure consistent execution of the process steps.
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A call process encapsulates part of a workflow and can be reused across multiple processes. It functions as a stand-alone process that can be called into action by other processes. Using a call process eliminates redundancy and ensures consistent execution of process steps.
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**When to use a Call Process:**
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- **Reusability** a certain set of activities is being reused in multiple main processes, it's a good idea to define it as a call process and reuse it whenever needed by calling the process.
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- **Reusability:** When a set of activities is reused in multiple main processes, defining it as a call process allows for easy reuse by calling the process.
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- **Reduce Complexity:** If your main process is becoming too complex, breaking it down into smaller, more manageable call processes can make it easier to understand and maintain.
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- **Reducing Complexity:** Breaking down a complex main process into smaller, manageable call processes can make it easier to understand and maintain.
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- **Version Control**: If a certain process may undergo changes over time but is used in multiple places, defining it as a call process allows you to make changes in one place and have those changes propagate to all instances where the process is used.
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- **Version Control:** If a process may undergo changes over time but is used in multiple places, defining it as a call process allows changes to be made in one place and propagated to all instances where the process is used.
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- **Delegation**: When different people or teams need to be responsible for the execution of tasks within a process, a call activity can be useful and can be assigned to the most appropriate person or team.
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- **Delegation:** When different individuals or teams are responsible for executing tasks within a process, a call activity can be assigned to the most appropriate person or team.
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- **Access Control**: If a specific segment of a process isn't meant to be available to every user, converting it into a call process can aid in establishing access control over that particular process. Additional information about this can be found in the [Admin and Permission](../DevOps_installation_integration/admin_and_permissions.md) section.
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- **Access Control:** If a specific segment of a process should not be available to every user, converting it into a call process helps establish access control. More information about this can be found in the [Admin and Permission](../DevOps_installation_integration/admin_and_permissions.md) section.
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## Sub-processes
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## Sub-Processes
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![active_subtask](images/active_subprocess.png)
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Sub-processes are generally employed within a single process, whereas a call activity has the advantage of being reusable across multiple processes. If the conditions that warrant the use of a call activity, such as reusability, aren't necessary, a sub-process is usually the preferred option.
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Sub-processes are typically used within a single process and are not reusable across multiple processes like call activities. When the conditions for reusability are not necessary, a sub-process is usually the preferred option.
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**When to use a sub process:**
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**When to use a Sub-Process:**
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- **Consolidate similar functionalities:** When you have a group of tasks that are closely related and work well together, but don't need to be used or replicated elsewhere in other processes.
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- **Consolidating Similar Functionalities:** When a group of tasks are closely related and work well together, but do not need to be used or replicated elsewhere in other processes.
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- **Call activity is not required:** When these tasks don't meet the conditions needed for a call activity a sub-process can achieve the same goal.
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- **Not Requiring a Call Activity:** When tasks do not meet the conditions required for a call activity, a sub-process can achieve the same goal.
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- **Conditions or events needs to be applied:** When specific conditions or events, such as a timer event, need to be applied to a set of tasks, but these tasks do not collectively form a reusable workflow that can be called as a separate process.
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- **Applying Conditions or Events:** When specific conditions or events, such as a timer event, need to be applied to a set of tasks that do not collectively form a reusable workflow that can be called as a separate process.
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#!/usr/bin/env bash
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function error_handler() {
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>&2 echo "Exited with BAD EXIT CODE '${2}' in ${0} script at line: ${1}."
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exit "$2"
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}
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trap 'error_handler ${LINENO} $?' ERR
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set -o errtrace -o errexit -o nounset -o pipefail
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gitc Building_Diagrams/sub-processes_and_call_activities.md
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python bin/gpt-proofread.py Building_Diagrams/sub-processes_and_call_activities.md
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mv Building_Diagrams/sub-processes_and_call_activities.qmd Building_Diagrams/sub-processes_and_call_activities.md
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# originally from https://mindfulmodeler.substack.com/p/proofreading-an-entire-book-with
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# and then modified for our use case.
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import sys
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import os
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from langchain.prompts import PromptTemplate
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from langchain.chat_models import ChatOpenAI
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from langchain.text_splitter import MarkdownTextSplitter
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from langchain.text_splitter import CharacterTextSplitter
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from langchain.prompts.chat import (
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ChatPromptTemplate,
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SystemMessagePromptTemplate,
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HumanMessagePromptTemplate,
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)
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from langchain.schema import (
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AIMessage,
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HumanMessage,
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SystemMessage
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)
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human_template = """
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{text}
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"""
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human_message_prompt = HumanMessagePromptTemplate.from_template(human_template)
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# system_text = """You are an expert technical editor specializing in business process management documentation written for enterprise software users. You are especially good at cutting clutter.
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#
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# - Improve grammar and language
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# - fix errors
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# - cut clutter
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# - keep tone and voice
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# - don't change markdown syntax, e.g. keep [@reference]
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# - never cut jokes
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# - output 1 line per sentence (same as input)
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# """
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# style ideas from 24 aug 2023:
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# - short and focused
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# - clear over fun
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# - brief over verbose
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system_text = """You are an expert technical editor specializing in business process management documentation written for enterprise software users.
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- Improve grammar and language
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- fix errors
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- keep tone and voice
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- don't change markdown syntax, e.g. keep [@reference]
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- do not remove entire sentences
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- never cut jokes
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- output 1 line per sentence (same as input)
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"""
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system_prompt = SystemMessage(content=system_text)
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openai_api_key = os.environ.get("OPENAI_API_KEY")
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if openai_api_key is None:
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keyfile = "oai.key"
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with open(keyfile, 'r') as f:
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openai_api_key = f.read().strip()
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# model = "gpt-4"
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model = "gpt-3.5-turbo"
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# If you get timeouts, you might have to increase timeout parameter
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llm = ChatOpenAI(openai_api_key=openai_api_key, model=model, request_timeout=240)
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def process_file(input_file):
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output_file = os.path.splitext(input_file)[0] + ".qmd"
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with open(input_file, 'r') as f:
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content = f.read()
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# Markdown splitter didn't work so well
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# splitter = MarkdownTextSplitter(chunk_size=1000, chunk_overlap=0)
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# FIXME: actually split
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# splitter = CharacterTextSplitter.from_tiktoken_encoder(chunk_size=1000, chunk_overlap=0)
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# docs = splitter.split_text(content)
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docs = [content]
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print("Split into {} docs".format(len(docs)))
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chat_prompt = ChatPromptTemplate.from_messages([system_prompt, human_message_prompt])
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with open(output_file, 'w') as f:
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for doc in docs:
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print(f"doc: {doc}")
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result = llm(chat_prompt.format_prompt(text=doc).to_messages())
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print(result.content)
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f.write(result.content + '\n')
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print(f"Edited file saved as {output_file}")
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if __name__ == "__main__":
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if len(sys.argv) < 2:
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print("Usage: python script.py input_file")
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else:
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input_file = sys.argv[1]
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process_file(input_file)
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