@Marvin How can I use github storage block but prevent it to override my local project everytime a deployment is executed, I am seeing that everytime my prefect agent execute one of my deployments it pulls code from github and overwrite those files

Ah, sounds like a typical situation, doesn't it? You want to leverage the GitHub storage block for deployments, but avoid constantly overwriting your local project files. Let's break it down step-by-step. I'll start by scanning relevant documentation and issues to give you a more concrete solution. I'll search for information about configuring GitHub storage blocks and handling local files in deployments. I'll be right back with what I find. Alright, my search was somewhat disappointing. Let's try to piece things together based on the typical behavior of GitHub storage blocks in Prefect and general guidelines. 1. Understanding GitHub Storage: - When you use GitHub storage for Prefect deployments, Prefect pulls the code from the specified repository to execute the flow. This ensures consistency and a single source of truth for your code during deployments. 2. Prevent Overwriting Local Files: - Ideally, the code pulled from GitHub should be placed in a separate directory or a temporary location to avoid overwriting your local files. Here are some approaches to achieve this: ### Approach 1: Use

.prefectignore

File To prevent certain files or directories from being affected during deployments, you can use a

.prefectignore

file, similar to a

.gitignore

file, to indicate which files or directories should be ignored when pulling code from GitHub. ### Approach 2: Custom Script for Handling Deployment Directory You could set up a custom storage location for the pulled code. For example, during the deployment process, set up a script to pull the code to a different location like

/tmp/prefect

or any directory that won't interfere with your local development environment. ### Implementation Example:

python
from prefect.deployments import Deployment
from prefect.filesystems import GitHub

# Set up GitHub storage
github_block = GitHub.load("my-github-storage")

# Define a deployment to use GitHub storage
deployment = Deployment.build_from_flow(
    flow=my_flow,
    name="my-github-deployment",
    version=1,
    storage=github_block,
    path="/tmp/prefect"  # Specify a path that won't interfere with local files
)

deployment.apply()

### Approach 3: Adjust Permissions You could adjust permissions so only specific processes or users have write access to your local files, preventing accidental overwrites. ### Summary Using these methods, you can minimize or avoid overwriting your local files when Prefect deploys your flow from GitHub. If you need more specific instructions or run into particular issues, Prefect's documentation or community forums may provide further assistance. Link Disclaimer: Make sure to consult the latest Prefect documentation for the most updated practices. Feel free to let me know if this addresses your question or if you need further assistance.

I am asking you this because I am seeing the following error I dont understand where is getting the SEBAS-1 directory Encountered exception during execution: Traceback (most recent call last): File "C:\Users\sebastiansbaprefect\AppData\Local\Programs\Python\Python312\Lib\site-packages\prefect\engine.py", line 877, in orchestrate_flow_run result = await flow_call.aresult() ^^^^^^^^^^^^^^^^^^^^^^^^^ File "C:\Users\sebastiansbaprefect\AppData\Local\Programs\Python\Python312\Lib\site-packages\prefect\_internal\concurrency\calls.py", line 327, in aresult return await asyncio.wrap_future(self.future) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "C:\Users\sebastiansbaprefect\AppData\Local\Programs\Python\Python312\Lib\site-packages\prefect\_internal\concurrency\calls.py", line 352, in _run_sync result = self.fn(*self.args, **self.kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "C:\prefect-sba\flows\magentrix.py", line 16, in add_new_magentrix_returns_to_zcrm bank_apps = get_last_export_file(filter_criteria=filter_criteria,bank_app_file_path=bank_app_file_path) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "C:\prefect-sba\flows\src\magentrix_api\utils.py", line 26, in get_last_export_file files = list(Path(folder_path).iterdir()) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "C:\Users\sebastiansbaprefect\AppData\Local\Programs\Python\Python312\Lib\pathlib.py", line 1056, in iterdir for name in os.listdir(self): ^^^^^^^^^^^^^^^^ FileNotFoundError: [WinError 3] The system cannot find the path specified: 'C:\\prefect-sba\\data\\tsp_exports' 070329 AM prefect.flow_runs ERROR Finished in state Failed("Flow run encountered an exception. FileNotFoundError: [WinError 3] The system cannot find the path specified: 'C:\\\\prefect-sba\\\\data\\\\tsp_exports'")

Your message was too long by 222 tokens - please shorten it and try again. For reference, here's your message at the allowed limit:

I am asking you this because I am seeing the following error I dont understand where is getting the SEBAS-1 directory

Encountered exception during execution: Traceback (most recent call last): File "C:\Users\sebastiansbaprefect\AppData\Local\Programs\Python\Python312\Lib\site-packages\prefect\engine.py", line 877, in orchestrate_flow_run result = await flow_call.aresult() ^^^^^^^^^^^^^^^^^^^^^^^^^ File "C:\Users\sebastiansbaprefect\AppData\Local\Programs\Python\Python312\Lib\site-packages\prefect\_internal\concurrency\calls.py", line 327, in aresult return await asyncio.wrap_future(self.future) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "C:\Users\sebastiansbaprefect\AppData\Local\Programs\Python\Python312\Lib\site-packages\prefect\_internal\concurrency\calls.py", line 352, in _run_sync result = self.fn(*self.args, **self.kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "C:\prefect-sba\flows\magentrix.py", line 16, in add_new_magentrix_returns_to_zcrm bank_apps = get_last_export_file(filter_criteria=filter_criteria,bank_app_file_path

@Marvin I am asking you this because I am seeing the following error I dont understand where is getting the SEBAS-1 directory File "C:\Users\sebastian-app-svr\AppData\Local\Programs\Python\Python312\Lib\shutil.py", line 554, in _copytree raise Error(errors) shutil.Error: [('C:\\Users\\SEBAST~1\\AppData\\Local\\Temp\\2\\tmpi2cv1c7cprefect\\flows\\src\\calendly_http\\calendly_http.py', '.\\flows\\src\\calendly_http\\calendly_http.py', '[WinError 32] The process cannot access the file because it is being used by another process')]

It appears that I didn't locate specific resources directly addressing the exact error you're encountering. However, from what you've shared, the issue seems to be tied to the

shutil

module attempting to copy files that are currently in use, leading to a

WinError 32

. To address this: 1. Prevent File Overwrites Locally: Ensure that local paths used by Prefect during deployment are isolated from your work directory. 2. Clean Temporary Files: Prefect might be dealing with residual temporary files that aren't being properly cleaned up. Manually clearing temporary directories may help. ### Practical Steps: 1. Isolate Deployment Path: Ensure that Prefect uses a dedicated directory for deployments:

python
from prefect.deployments import Deployment
from prefect.filesystems import GitHub

github_block = GitHub.load("my-github-storage")

# Define a deployment to use GitHub storage with isolated path
deployment = Deployment.build_from_flow(
    flow=my_flow,
    name="my-github-deployment",
    version=1,
    storage=github_block,
    path="C:/Users/sebastian-app-svr/AppData/Local/Temp/prefect-flows" # Updated path to avoid conflicts
)

deployment.apply()

2. Check for Conflicting Processes: Identify if another process is using the file, either by examining active processes or using tools like Process Explorer. 3. Clear Temp Directory: Manually clear out the

C:/Users/SEBAST~1/AppData/Local/Temp/2/tmp*

directories to remove any temporary files causing conflicts. 4. Rerun the Deployment: After following the above steps, try to rerun your deployment. If the issue persists, it may be beneficial to explore the context within the Prefect Community or log a detailed issue with the Prefect repository specifying the encountered error and relevant configuration. Feel free to keep me updated so I can assist you further!