2lambda123 / Typhoon-Impact-based-forecasting-model

GNU General Public License v3.0
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Bug/mac #4

Closed 2lambda123 closed 6 months ago

2lambda123 commented 6 months ago

Description

Related Issue

Types of changes

Checklist:

Summary by CodeRabbit

performance-testing-bot[bot] commented 6 months ago

Unable to locate .performanceTestingBot config file

cr-gpt[bot] commented 6 months ago

Seems you are using me but didn't get OPENAI_API_KEY seted in Variables/Secrets for this repo. you could follow readme for more information

quine-bot[bot] commented 6 months ago

👋 Figuring out if a PR is useful is hard, hopefully this will help.

  • @2lambda123 has been on GitHub since 2019 and in that time has had 2100 public PRs merged
  • Don't you recognize them? They've been here before 🎉
  • Here's a good example of their work: HeyGenClone
  • From looking at their profile, they seem to be good with JavaScript and Python.

Their most recently public accepted PR is: https://github.com/2lambda123/Typhoon-Impact-based-forecasting-model/pull/2

code-companion-ai[bot] commented 6 months ago

Processing PR updates...

git-greetings[bot] commented 6 months ago

Thanks @2lambda123 for opening this PR!

For COLLABORATOR only :

coderabbitai[bot] commented 6 months ago

Walkthrough

The recent updates introduce new GitHub workflows for running and testing a typhoon model, alongside adjustments to R package dependencies and modifications in Python scripts for better platform compatibility and efficiency in data handling and visualization within the model's utility functions.

Changes

File Path Change Summary
.github/depends.R Added to install R packages like tmap, dplyr, and more.
.github/workflows/... New workflows for running and testing the typhoon model, including setup, dependency installation, and failure notifications.
IBF-Typhoon-model/src/.../forecast.py, forecast_process.py Adjusted import logic for platform compatibility; minor initialization updates.
IBF-Typhoon-model/src/.../plot_intensity.py Streamlined typhoon intensity plotting by modifying figure handling.

🐇✨🌀
In the code where typhoons swirl and twirl,
A rabbit hopped through, making changes unfurl.
With scripts so neat and workflows set,
Now models run without a fret.
Hop, hop, hurray, to the code that now plays! 🌟📈


Recent Review Details **Configuration used: CodeRabbit UI** **Review profile: CHILL**
Commits Files that changed from the base of the PR and between b03c4daadc0e52c9c885589a5effca9bde4a0e4f and 168b6476d6420e858f8e2cfda95fe7ad026eec66.
Files selected for processing (7) * .github/depends.R (1 hunks) * .github/workflows/run-typhoon-model.yml (1 hunks) * .github/workflows/test-typhoon-model.yml (1 hunks) * IBF-Typhoon-model/src/climada/hazard/tc_tracks_forecast.py (1 hunks) * IBF-Typhoon-model/src/typhoonmodel/utility_fun/forecast.py (1 hunks) * IBF-Typhoon-model/src/typhoonmodel/utility_fun/forecast_process.py (2 hunks) * IBF-Typhoon-model/src/typhoonmodel/utility_fun/plot_intensity.py (1 hunks)
Files skipped from review due to trivial changes (1) * .github/depends.R
Additional Context Used
Ruff (35)
IBF-Typhoon-model/src/climada/hazard/tc_tracks_forecast.py (2)
202-202: Undefined name `os` --- 335-335: Do not use bare `except`
IBF-Typhoon-model/src/typhoonmodel/utility_fun/forecast.py (22)
7-7: `subprocess` imported but unused --- 10-10: `pathlib.Path` imported but unused --- 11-11: `azure.storage.file.FileService` imported but unused --- 12-12: `azure.storage.file.ContentSettings` imported but unused --- 16-16: `numpy` imported but unused --- 19-19: `click` imported but unused --- 20-20: `json` imported but unused --- 21-21: `shapely.wkb` imported but unused --- 21-21: `shapely.wkt` imported but unused --- 23-23: `climada.hazard.TropCyclone` imported but unused --- 23-23: `climada.hazard.TCTracks` imported but unused --- 25-25: `typhoonmodel.utility_fun.Sendemail` imported but unused --- 26-26: `typhoonmodel.utility_fun.plot_intensity` imported but unused --- 26-26: `typhoonmodel.utility_fun.settings` imported but unused --- 28-28: `typhoonmodel.utility_fun.dynamicDataDb.DatabaseManager` imported but unused --- 82-82: Do not use bare `except` --- 85-85: f-string without any placeholders --- 86-86: Local variable `rainfall_error` is assigned to but never used --- 94-94: Do not use bare `except` --- 95-95: f-string without any placeholders --- 106-106: Local variable `centroid_idx` is assigned to but never used --- 107-107: Local variable `ncents` is assigned to but never used
IBF-Typhoon-model/src/typhoonmodel/utility_fun/forecast_process.py (9)
23-23: `typhoonmodel.utility_fun.Sendemail` imported but unused --- 86-86: Do not use bare `except` --- 89-89: f-string without any placeholders --- 99-99: Do not use bare `except` --- 100-100: f-string without any placeholders --- 170-170: Local variable `HRS_SPEED` is assigned to but never used --- 307-307: f-string without any placeholders --- 311-311: Local variable `p` is assigned to but never used --- 313-313: f-string without any placeholders
IBF-Typhoon-model/src/typhoonmodel/utility_fun/plot_intensity.py (2)
3-3: `matplotlib.pyplot` imported but unused --- 4-4: `cartopy.crs` imported but unused
Additional comments not posted (2)
IBF-Typhoon-model/src/typhoonmodel/utility_fun/plot_intensity.py (1)
`11-13`: Ensure that `typhoon.plot_intensity` method returns an axis object as expected.
.github/workflows/test-typhoon-model.yml (1)
`1-89`: The workflow file is well-structured and follows best practices for GitHub Actions.
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git-greetings[bot] commented 6 months ago
PR Details of @2lambda123 in Typhoon-Impact-based-forecasting-model : OPEN CLOSED TOTAL
3 1 4
codesyncapp[bot] commented 6 months ago

Check out the playback for this Pull Request here.

codeautopilot[bot] commented 6 months ago

PR summary

The Pull Request (PR) introduces changes to a Typhoon model project, primarily focusing on improving the model's functionality and compatibility with different operating systems. The PR adds new GitHub Actions workflows for running and testing the typhoon model, installs R and Python dependencies, and modifies the model's code to handle exceptions and support macOS in addition to Linux and Windows.

Key changes include:

The PR aims to enhance the model's robustness, maintainability, and cross-platform support.

Suggestion

The PR seems well-structured and addresses multiple aspects of the project. However, it's important to ensure that the conditional imports based on the operating system do not introduce any inconsistencies in the model's behavior across different platforms. It might be beneficial to add unit tests that verify the model's functionality on all supported operating systems.

Additionally, the PR could benefit from more detailed commit messages that explain the rationale behind each change, making it easier for reviewers to understand the context and impact of the modifications.