Using sync code in the async route often introduces a blocking
event-loop code that impacts stability.
The current RPC system only provides a synchronous client to call the
service endpoints.
The scope of this PR is to provide an entirely decoupled signature
between client and server, allowing the client can mix & match async &
sync options on the client code while not changing the async/sync nature
of the server.
### Changes 🏗️
* Add support for flexible async/sync RPC client.
* Migrate scheduler client to all-async client.
### Checklist 📋
#### For code changes:
- [x] I have clearly listed my changes in the PR description
- [x] I have made a test plan
- [x] I have tested my changes according to the test plan:
- [x] Scheduler route test.
- [x] Modified service_test.py
- [x] Run normal agent executions
<!-- Clearly explain the need for these changes: -->
We don't want to spam the user with similar notification types so we
want to group them up over a timespan and handle that as a group of
notifications.
### Changes 🏗️
- Adds a batch queue
- Moves the ExecutionScheduleur to a generic Scheduler
- Makes the Agent run a batch operation
- Fixes various bugs in how we originally made the batch db models and
queries
<!-- Concisely describe all of the changes made in this pull request:
-->
### Checklist 📋
#### For code changes:
- [x] I have clearly listed my changes in the PR description
- [x] I have made a test plan
- [x] I have tested my changes according to the test plan:
<!-- Put your test plan here: -->
- [x] Run 10 agents back to back
- [x] Notice how many emails you get
- [x] Wait a bit and you should after an hour (change the cron rule to
speed up testing this) you'll get an email and see all the batches in
your db are empty
---------
Co-authored-by: Zamil Majdy <zamil.majdy@agpt.co>
This is a follow-up of
https://github.com/Significant-Gravitas/AutoGPT/pull/8752
There are several APIs and functions related to graph execution that are
unused now.
There is also confusion about the name of `GraphExecution` that exists
in graph.py & execution.py.
### Changes 🏗️
* Renamed `GraphExecution` in `execution.py` to `GraphExecutionEntry`,
this is only used as a queue entry for execution.
* Removed unused `get_graph_execution` & `list_executions` in
`execution.py`.
* Removed `with_run` option on `get_graph` function in `graph.py`.
* Removed `GraphMetaWithRuns`
* Removed exposed functions only for testing.
* Removed `executions` fields in Graph model.
### Checklist 📋
#### For code changes:
- [ ] I have clearly listed my changes in the PR description
- [ ] I have made a test plan
- [ ] I have tested my changes according to the test plan:
<!-- Put your test plan here: -->
- [ ] ...
<details>
<summary>Example test plan</summary>
- [ ] Create from scratch and execute an agent with at least 3 blocks
- [ ] Import an agent from file upload, and confirm it executes
correctly
- [ ] Upload agent to marketplace
- [ ] Import an agent from marketplace and confirm it executes correctly
- [ ] Edit an agent from monitor, and confirm it executes correctly
</details>
#### For configuration changes:
- [ ] `.env.example` is updated or already compatible with my changes
- [ ] `docker-compose.yml` is updated or already compatible with my
changes
- [ ] I have included a list of my configuration changes in the PR
description (under **Changes**)
<details>
<summary>Examples of configuration changes</summary>
- Changing ports
- Adding new services that need to communicate with each other
- Secrets or environment variable changes
- New or infrastructure changes such as databases
</details>
---------
Co-authored-by: Krzysztof Czerwinski <34861343+kcze@users.noreply.github.com>
* fix(backend): Add execution persistence for execution scheduler service
* scheduler REST API cleanup
* Fix to binary
* Adapt UI with new API
* Remove schedule.py
* Remove unused class
* Fix linting
Restructuring the Repo to make it clear the difference between classic autogpt and the autogpt platform:
* Move the "classic" projects `autogpt`, `forge`, `frontend`, and `benchmark` into a `classic` folder
* Also rename `autogpt` to `original_autogpt` for absolute clarity
* Rename `rnd/` to `autogpt_platform/`
* `rnd/autogpt_builder` -> `autogpt_platform/frontend`
* `rnd/autogpt_server` -> `autogpt_platform/backend`
* Adjust any paths accordingly
