From 3b502faeaf456820823c641b843c56c0f8a7af33 Mon Sep 17 00:00:00 2001 From: suvanbanerjee Date: Wed, 25 Jun 2025 00:28:10 +0530 Subject: [PATCH 01/18] template code with s3 fetch --- .dockerignore | 144 + .editorconfig | 31 + .github/workflows/branch_ci.yml | 19 - .github/workflows/merged_ci.yml | 11 - .github/workflows/tests.yml | 43 + .gitignore | 25 +- .pre-commit-config.yaml | 29 + Dockerfile | 74 +- README.md | 152 - cloudcasting_backend/__init__.py | 1 + cloudcasting_backend/__main__.py | 20 + cloudcasting_backend/log.py | 99 + cloudcasting_backend/services/__init__.py | 5 + .../services/s3_downloader.py | 229 ++ cloudcasting_backend/settings.py | 67 + cloudcasting_backend/web/__init__.py | 1 + cloudcasting_backend/web/api/__init__.py | 1 + .../web/api/cloudcasting/__init__.py | 5 + .../web/api/cloudcasting/views.py | 85 + cloudcasting_backend/web/api/echo/__init__.py | 5 + cloudcasting_backend/web/api/echo/schema.py | 7 + cloudcasting_backend/web/api/echo/views.py | 18 + .../web/api/monitoring/__init__.py | 5 + .../web/api/monitoring/views.py | 12 + cloudcasting_backend/web/api/router.py | 8 + cloudcasting_backend/web/application.py | 61 + cloudcasting_backend/web/lifespan.py | 101 + deploy/docker-compose.dev.yml | 13 + deploy/docker-compose.otlp.yml | 23 + deploy/otel-collector-config.yml | 33 + docker-compose.yml | 13 + poetry.lock | 2738 +++++++++++++++++ pyproject.toml | 268 +- src/ocf_template/__init__.py | 52 - src/ocf_template/main.py | 47 - tests/__init__.py | 1 + tests/conftest.py | 43 + tests/test_cloudcasting_backend.py | 17 + tests/test_echo.py | 21 + tests/test_something.py | 7 - 40 files changed, 4071 insertions(+), 463 deletions(-) create mode 100644 .dockerignore create mode 100644 .editorconfig delete mode 100644 .github/workflows/branch_ci.yml delete mode 100644 .github/workflows/merged_ci.yml create mode 100644 .github/workflows/tests.yml create mode 100644 .pre-commit-config.yaml delete mode 100644 README.md create mode 100644 cloudcasting_backend/__init__.py create mode 100644 cloudcasting_backend/__main__.py create mode 100644 cloudcasting_backend/log.py create mode 100644 cloudcasting_backend/services/__init__.py create mode 100644 cloudcasting_backend/services/s3_downloader.py create mode 100644 cloudcasting_backend/settings.py create mode 100644 cloudcasting_backend/web/__init__.py create mode 100644 cloudcasting_backend/web/api/__init__.py create mode 100644 cloudcasting_backend/web/api/cloudcasting/__init__.py create mode 100644 cloudcasting_backend/web/api/cloudcasting/views.py create mode 100644 cloudcasting_backend/web/api/echo/__init__.py create mode 100644 cloudcasting_backend/web/api/echo/schema.py create mode 100644 cloudcasting_backend/web/api/echo/views.py create mode 100644 cloudcasting_backend/web/api/monitoring/__init__.py create mode 100644 cloudcasting_backend/web/api/monitoring/views.py create mode 100644 cloudcasting_backend/web/api/router.py create mode 100644 cloudcasting_backend/web/application.py create mode 100644 cloudcasting_backend/web/lifespan.py create mode 100644 deploy/docker-compose.dev.yml create mode 100644 deploy/docker-compose.otlp.yml create mode 100644 deploy/otel-collector-config.yml create mode 100644 docker-compose.yml create mode 100644 poetry.lock delete mode 100644 src/ocf_template/__init__.py delete mode 100644 src/ocf_template/main.py create mode 100644 tests/conftest.py create mode 100644 tests/test_cloudcasting_backend.py create mode 100644 tests/test_echo.py delete mode 100644 tests/test_something.py diff --git a/.dockerignore b/.dockerignore new file mode 100644 index 0000000..00ce79b --- /dev/null +++ b/.dockerignore @@ -0,0 +1,144 @@ +### Python template + +deploy/ +.idea/ +.vscode/ +.git/ +# Byte-compiled / optimized / DLL files +__pycache__/ +*.py[cod] +*$py.class + +# C extensions +*.so + +# Distribution / packaging +.Python +build/ +develop-eggs/ +dist/ +downloads/ +eggs/ +.eggs/ +lib/ +lib64/ +parts/ +sdist/ +var/ +wheels/ +share/python-wheels/ +*.egg-info/ +.installed.cfg +*.egg +MANIFEST + +# PyInstaller +# Usually these files are written by a python script from a template +# before PyInstaller builds the exe, so as to inject date/other infos into it. +*.manifest +*.spec + +# Installer logs +pip-log.txt +pip-delete-this-directory.txt + +# Unit test / coverage reports +htmlcov/ +.tox/ +.nox/ +.coverage +.coverage.* +.cache +nosetests.xml +coverage.xml +*.cover +*.py,cover +.hypothesis/ +.pytest_cache/ +cover/ + +# Translations +*.mo +*.pot + +# Django stuff: +*.log +local_settings.py +db.sqlite3 +db.sqlite3-journal + +# Flask stuff: +instance/ +.webassets-cache + +# Scrapy stuff: +.scrapy + +# Sphinx documentation +docs/_build/ + +# PyBuilder +.pybuilder/ +target/ + +# Jupyter Notebook +.ipynb_checkpoints + +# IPython +profile_default/ +ipython_config.py + +# pyenv +# For a library or package, you might want to ignore these files since the code is +# intended to run in multiple environments; otherwise, check them in: +# .python-version + +# pipenv +# According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control. +# However, in case of collaboration, if having platform-specific dependencies or dependencies +# having no cross-platform support, pipenv may install dependencies that don't work, or not +# install all needed dependencies. +#Pipfile.lock + +# PEP 582; used by e.g. github.com/David-OConnor/pyflow +__pypackages__/ + +# Celery stuff +celerybeat-schedule +celerybeat.pid + +# SageMath parsed files +*.sage.py + +# Environments +.env +.venv +env/ +venv/ +ENV/ +env.bak/ +venv.bak/ + +# Spyder project settings +.spyderproject +.spyproject + +# Rope project settings +.ropeproject + +# mkdocs documentation +/site + +# mypy +.mypy_cache/ +.dmypy.json +dmypy.json + +# Pyre type checker +.pyre/ + +# pytype static type analyzer +.pytype/ + +# Cython debug symbols +cython_debug/ diff --git a/.editorconfig b/.editorconfig new file mode 100644 index 0000000..eb831fe --- /dev/null +++ b/.editorconfig @@ -0,0 +1,31 @@ +root = true + +[*] +tab_width = 4 +end_of_line = lf +max_line_length = 88 +ij_visual_guides = 88 +insert_final_newline = true +trim_trailing_whitespace = true + +[*.{js,py,html}] +charset = utf-8 + +[*.md] +trim_trailing_whitespace = false + +[*.{yml,yaml}] +indent_style = space +indent_size = 2 + +[Makefile] +indent_style = tab + +[.flake8] +indent_style = space +indent_size = 2 + +[*.py] +indent_style = space +indent_size = 4 +ij_python_from_import_parentheses_force_if_multiline = true diff --git a/.github/workflows/branch_ci.yml b/.github/workflows/branch_ci.yml deleted file mode 100644 index 325399f..0000000 --- a/.github/workflows/branch_ci.yml +++ /dev/null @@ -1,19 +0,0 @@ -name: Non-Default Branch Push CI (Python) - -on: - push: - branches-ignore: [ "main" ] - paths-ignore: ['README.md'] - pull_request: - types: ["opened", "reopened", "edited"] - paths-ignore: ["README.md"] - -jobs: - branch-ci: - uses: openclimatefix/.github/.github/workflows/nondefault_branch_push_ci_python.yml@main - secrets: inherit - with: - enable_linting: true - enable_typechecking: true - tests_folder: tests - diff --git a/.github/workflows/merged_ci.yml b/.github/workflows/merged_ci.yml deleted file mode 100644 index a9e8f5c..0000000 --- a/.github/workflows/merged_ci.yml +++ /dev/null @@ -1,11 +0,0 @@ -name: Default Branch PR Merged CI - -on: - pull_request_target: - types: ["closed"] - branches: [ "main" ] - -jobs: - merged-ci: - uses: openclimatefix/.github/.github/workflows/default_branch_pr_merged_ci.yml@main - secrets: inherit diff --git a/.github/workflows/tests.yml b/.github/workflows/tests.yml new file mode 100644 index 0000000..cf74b02 --- /dev/null +++ b/.github/workflows/tests.yml @@ -0,0 +1,43 @@ +name: Testing cloudcasting_backend + +on: push + +jobs: + lint: + strategy: + matrix: + cmd: + - black + - ruff + - mypy + runs-on: ubuntu-latest + steps: + - uses: actions/checkout@v4 + - name: Install poetry + run: pipx install poetry + - name: Set up Python + uses: actions/setup-python@v5 + with: + python-version: '3.11' + cache: 'poetry' + - name: Install deps + run: poetry install + - name: Run lint check + run: poetry run pre-commit run -a ${{ matrix.cmd }} + pytest: + runs-on: ubuntu-latest + steps: + - uses: actions/checkout@v4 + - name: Create .env + run: touch .env + - name: Set up Python + uses: actions/setup-python@v5 + with: + python-version: '3.11' + - name: Update docker-compose + uses: KengoTODA/actions-setup-docker-compose@v1 + with: + version: "2.28.0" + - name: run tests + run: docker-compose run --rm api pytest -vv + diff --git a/.gitignore b/.gitignore index fa4c1b7..d1c9691 100644 --- a/.gitignore +++ b/.gitignore @@ -1,3 +1,7 @@ +### Python template + +.idea/ +.vscode/ # Byte-compiled / optimized / DLL files __pycache__/ *.py[cod] @@ -5,7 +9,7 @@ __pycache__/ # C extensions *.so -.idea/ + # Distribution / packaging .Python build/ @@ -20,7 +24,6 @@ parts/ sdist/ var/ wheels/ -pip-wheel-metadata/ share/python-wheels/ *.egg-info/ .installed.cfg @@ -50,6 +53,7 @@ coverage.xml *.py,cover .hypothesis/ .pytest_cache/ +cover/ # Translations *.mo @@ -58,8 +62,8 @@ coverage.xml # Django stuff: *.log local_settings.py -db.sqlite3 -db.sqlite3-journal +*.sqlite3 +*.sqlite3-journal # Flask stuff: instance/ @@ -72,6 +76,7 @@ instance/ docs/_build/ # PyBuilder +.pybuilder/ target/ # Jupyter Notebook @@ -82,7 +87,9 @@ profile_default/ ipython_config.py # pyenv -.python-version +# For a library or package, you might want to ignore these files since the code is +# intended to run in multiple environments; otherwise, check them in: +# .python-version # pipenv # According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control. @@ -127,3 +134,11 @@ dmypy.json # Pyre type checker .pyre/ + +# pytype static type analyzer +.pytype/ + +# Cython debug symbols +cython_debug/ + +.ruff_cache/ \ No newline at end of file diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml new file mode 100644 index 0000000..c1a505c --- /dev/null +++ b/.pre-commit-config.yaml @@ -0,0 +1,29 @@ +--- +# See https://pre-commit.com for more information +# See https://pre-commit.com/hooks.html for more hooks +repos: + - repo: local + hooks: + + - id: black + name: Format with Black + entry: poetry run black + language: system + types: [python] + + - id: ruff + name: Check with Ruff + entry: poetry run ruff + language: system + pass_filenames: false + always_run: true + args: ["check", "cloudcasting_backend", "tests", "--fix"] + + - id: mypy + name: Validate types with MyPy + entry: poetry run mypy + language: system + types: [python] + pass_filenames: false + args: + - "cloudcasting_backend" diff --git a/Dockerfile b/Dockerfile index 70c92c7..5751354 100644 --- a/Dockerfile +++ b/Dockerfile @@ -1,51 +1,25 @@ -# --- Dep builder image (can use python-3.12 if need gcc etc) --- # -FROM python:3.12-slim-bookworm AS build-deps - -# Install build requirements into build image -# * UV for python packaging -# * git for setuptools-git-versioning -COPY --from=ghcr.io/astral-sh/uv:latest /uv /uvx /bin/ -RUN apt-get update && apt-get install -y git - -# Add only files required for dependencies -# * pyproject.toml: Project configuration -WORKDIR /opt/app -COPY pyproject.toml /opt/app/pyproject.toml - -# Make UV behave in a container-orientated way -# * Compile bytecode to reduce startup time -# * Disable cache to reduce image size -ENV UV_COMPILE_BYTECODE=1 \ - UV_NO_CACHE=1 \ - UV_LINK_MODE=copy - -# Install dependecies -# * --no-dev: Do not install development dependencies -# * --no-install-project: Only install dependencies -# * --no-editable: Copy the source code into site-packages -RUN mkdir src && \ - uv sync --no-dev --no-install-project --no-editable - -# Remove tests (Pandas ship loads, for instance) -# * Remove this line if causing problems -RUN rm -rf /opt/app/.venv/lib/python3.12/site-packages/**/tests - -# --- App builder image --- # -FROM build-deps AS build-app - -# Install the project -# * .git: Required for setuptools-git-versioning -COPY src /opt/app/src -COPY .git /opt/app/.git -RUN uv sync --no-dev --no-editable - -# --- Runtime image (use distroless if feasible for 100MB saving) --- # -FROM python:3.12-slim-bookworm -# FROM al3xos/python-distroless:3.12-debian12 - -WORKDIR /opt/app -# Copy just the virtual environment into a runtime image -COPY --from=build-app --chown=app:app /opt/app/.venv /opt/app/.venv - -ENTRYPOINT ["/opt/app/.venv/bin/ocf-template-cli"] +FROM python:3.11.4-slim-bullseye AS prod + +RUN pip install poetry==1.8.2 + +# Configuring poetry +RUN poetry config virtualenvs.create false +RUN poetry config cache-dir /tmp/poetry_cache + +# Copying requirements of a project +COPY pyproject.toml poetry.lock /app/src/ +WORKDIR /app/src + +# Installing requirements +RUN --mount=type=cache,target=/tmp/poetry_cache poetry install --only main + +# Copying actuall application +COPY . /app/src/ +RUN --mount=type=cache,target=/tmp/poetry_cache poetry install --only main + +CMD ["/usr/local/bin/python", "-m", "cloudcasting_backend"] + +FROM prod AS dev + +RUN --mount=type=cache,target=/tmp/poetry_cache poetry install diff --git a/README.md b/README.md deleted file mode 100644 index a366ea5..0000000 --- a/README.md +++ /dev/null @@ -1,152 +0,0 @@ -# OCF Template - -**Starting point for OCF projects** - -[![workflows badge](https://img.shields.io/github/actions/workflow/status/openclimatefix/ocf-template/ci.yml?branch=maine&color=FFD053&label=workflow)](https://github.com/openclimatefix/ocf-template/actions/workflows/ci.yml) -[![tags badge](https://img.shields.io/github/v/tag/openclimatefix/ocf-template?include_prereleases&sort=semver&color=FFAC5F)](https://github.com/openclimatefix/ocf-template/tags) -[![pypi badge](https://img.shields.io/pypi/v/ocf-template?&color=07BCDF)](https://pypi.org/project/ocf-template) -[![documentation badge](https://img.shields.io/badge/docs-latest-086788)](https://openclimatefix.github.io/ocf-template/) -[![contributors badge](https://img.shields.io/github/contributors/openclimatefix/ocf-template?color=FFFFFF)](https://github.com/openclimatefix/ocf-template/graphs/contributors) -[![ease of contribution: easy](https://img.shields.io/badge/ease%20of%20contribution:%20easy-32bd50)](https://github.com/openclimatefix#how-easy-is-it-to-get-involved) -[![ease of contribution: medium](https://img.shields.io/badge/ease%20of%20contribution:%20medium-f4900c)](https://github.com/openclimatefix#how-easy-is-it-to-get-involved) -[![ease of contribution: hard](https://img.shields.io/badge/ease%20of%20contribution:%20hard-bb2629)](https://github.com/openclimatefix#how-easy-is-it-to-get-involved) - -This section of the README should contain a brief description of the project. -Perhaps give a short amount of context around why it exists; the problem it solves. -By the end of reading this short paragraph, a contributor should not be confused -as to the purpose of the repository and its role in the organisation. - -They might even have an idea of how it could be useful to them! - -> [!Note] -> Any important callouts (informing visitors this repository is in early -> design stages, or not for general use, or requires a lot of prerequisite -> knowledge or infrastructure) should be placed in a note like this. -> Like: This repository does not hold template workflows, contributing -> guides, etc - head to -> [OCF's .github repository](https://github.com/openclimatefix/.github) -> for those. - - -## Installation - -How to install the project for *general use* (**not** for development), so: -"`pip install x`", or: "pull the latest checkpoint from `y`"; -**not**: "clone the repo and run `make install`". -For example, to "install" this template as the basis of a new repository, -do the following: - -1. Click **Use this template** (in green) above the upper right of this file -2. Select **Create a new repository** -3. Create the new repository as desired - - -## Example usage - -One or two short examples of using the project to solve a problem. -Quick happy-path examples that show the project in action or outline a -common use case. - -> [!Note] -> If the project does not have a clear usage pattern, consider informing the -> user as such in the first callout. Then you can skip *Installation* and -> *Example usage* - perhaps replacing them with a *Quickstart* section - -> or just moving straight on to *Development*. - -Once you have installed the project into a new GitHub repository, -`git clone` it and `cd` into the created directory. - -**For a Python project:** - -1. Modify the `pyproject.toml` file, updating the name, description, authors, -and dependencies as needed. -2. Update the name of the package from `ocf_template` to your package name. -3. Install the project in editable mode (in a new virtual environment!) -with `pip install -e .`. - -Also, importantly, update this README! - -**For other projects:** - -Simply delete `src` and `pyproject.toml`, and just use and update the README -part of the template as required. - - -When your project is up and running, add any relevant workflows from OCF's -template workflows or otherwise. See -[Choosing and using a workflow template](https://docs.github.com/en/actions/writing-workflows/using-workflow-templates#choosing-and-using-a-workflow-template) -for more details. - -*For more information, head to the [Documentation](#documentation).* - - -## Documentation - -Link to the project's documentation, if it exists. Also consider internal -linking to parts of interest of the documentation, such as **Development**, -**API**, **Configuration** and so on. - - -## FAQ - -Any major points from github discussions, or highlights from the documentation. -If the same question is often asked, answer it in here! - -### Can I leave this section out? - -Yes, this is an optional section. - -### Is "How do I run the application" a valid FAQ question? - -No, that should be in example usage! - -### How should I format the FAQ section? - -Like this! Questions in level three headings, answers in plain text. - - -## Development - -Anything specific to getting set up for development on the project: required libraries, -infrastructure, extra tools that may be desired ([MyPy](https://mypy.readthedocs.io/en/stable/), -[pre-commit](https://pre-commit.com/), etc). Also, how to run tests! - -Make sure you have the most up to date drivers for your 32 GPU array to use this template! - -> [!Note] -> The development section might be contained within the documentation, in which case -> remove the *Development* section, and instead specify links to the relevant parts -> of the documentation in the *Documentation* section. - -### Running the test suite - -The couple of commands, and perhaps additional dependencies, to run the test suite of -the application or service. - - -## Contributing and community - -[![issues badge](https://img.shields.io/github/issues/openclimatefix/ocf-template?color=FFAC5F)](https://github.com/openclimatefix/ocf-template/issues?q=is%3Aissue+is%3Aopen+sort%3Aupdated-desc) - -- PR's are welcome! See the [Organisation Profile](https://github.com/openclimatefix) for details on contributing -- Find out about our other projects in the [here](https://github.com/openclimatefix/.github/tree/main/profile) -- Check out the [OCF blog](https://openclimatefix.org/blog) for updates -- Follow OCF on [LinkedIn](https://uk.linkedin.com/company/open-climate-fix) - - -## Contributors - - - - - - - - - - ---- - -*Part of the [Open Climate Fix](https://github.com/orgs/openclimatefix/people) community.* - -[![OCF Logo](https://cdn.prod.website-files.com/62d92550f6774db58d441cca/6324a2038936ecda71599a8b_OCF_Logo_black_trans.png)](https://openclimatefix.org) diff --git a/cloudcasting_backend/__init__.py b/cloudcasting_backend/__init__.py new file mode 100644 index 0000000..c82f8db --- /dev/null +++ b/cloudcasting_backend/__init__.py @@ -0,0 +1 @@ +"""cloudcasting_backend package.""" diff --git a/cloudcasting_backend/__main__.py b/cloudcasting_backend/__main__.py new file mode 100644 index 0000000..11be0e8 --- /dev/null +++ b/cloudcasting_backend/__main__.py @@ -0,0 +1,20 @@ +import uvicorn + +from cloudcasting_backend.settings import settings + + +def main() -> None: + """Entrypoint of the application.""" + uvicorn.run( + "cloudcasting_backend.web.application:get_app", + workers=settings.workers_count, + host=settings.host, + port=settings.port, + reload=settings.reload, + log_level=settings.log_level.value.lower(), + factory=True, + ) + + +if __name__ == "__main__": + main() diff --git a/cloudcasting_backend/log.py b/cloudcasting_backend/log.py new file mode 100644 index 0000000..d5fb916 --- /dev/null +++ b/cloudcasting_backend/log.py @@ -0,0 +1,99 @@ +import logging +import sys +from typing import Any, Union + +from loguru import logger +from opentelemetry.trace import INVALID_SPAN, INVALID_SPAN_CONTEXT, get_current_span + +from cloudcasting_backend.settings import settings + + +class InterceptHandler(logging.Handler): + """ + Default handler from examples in loguru documentation. + + This handler intercepts all log requests and + passes them to loguru. + + For more info see: + https://loguru.readthedocs.io/en/stable/overview.html#entirely-compatible-with-standard-logging + """ + + def emit(self, record: logging.LogRecord) -> None: # pragma: no cover + """ + Propagates logs to loguru. + + :param record: record to log. + """ + try: + level: Union[str, int] = logger.level(record.levelname).name + except ValueError: + level = record.levelno + + # Find caller from where originated the logged message + frame, depth = logging.currentframe(), 2 + while frame.f_code.co_filename == logging.__file__: + frame = frame.f_back # type: ignore + depth += 1 + + logger.opt(depth=depth, exception=record.exc_info).log( + level, + record.getMessage(), + ) + + +def record_formatter(record: dict[str, Any]) -> str: # pragma: no cover + """ + Formats the record. + + This function formats message + by adding extra trace information to the record. + + :param record: record information. + :return: format string. + """ + log_format = ( + "{time:YYYY-MM-DD HH:mm:ss.SSS} " + "| {level: <8} " + "| trace_id={extra[trace_id]} " + "| span_id={extra[span_id]} " + "| {name}:{function}:{line} " + "- {message}\n" + ) + + span = get_current_span() + record["extra"]["span_id"] = 0 + record["extra"]["trace_id"] = 0 + if span != INVALID_SPAN: + span_context = span.get_span_context() + if span_context != INVALID_SPAN_CONTEXT: + record["extra"]["span_id"] = format(span_context.span_id, "016x") + record["extra"]["trace_id"] = format(span_context.trace_id, "032x") + + if record["exception"]: + log_format = f"{log_format}{{exception}}" + + return log_format + + +def configure_logging() -> None: # pragma: no cover + """Configures logging.""" + intercept_handler = InterceptHandler() + + logging.basicConfig(handlers=[intercept_handler], level=logging.NOTSET) + + for logger_name in logging.root.manager.loggerDict: + if logger_name.startswith("uvicorn."): + logging.getLogger(logger_name).handlers = [] + + # change handler for default uvicorn logger + logging.getLogger("uvicorn").handlers = [intercept_handler] + logging.getLogger("uvicorn.access").handlers = [intercept_handler] + + # set logs output, level and format + logger.remove() + logger.add( + sys.stdout, + level=settings.log_level.value, + format=record_formatter, # type: ignore + ) diff --git a/cloudcasting_backend/services/__init__.py b/cloudcasting_backend/services/__init__.py new file mode 100644 index 0000000..c8f3a28 --- /dev/null +++ b/cloudcasting_backend/services/__init__.py @@ -0,0 +1,5 @@ +"""Services for cloudcasting_backend.""" + +from cloudcasting_backend.services.s3_downloader import start_download_thread + +__all__ = ["start_download_thread"] diff --git a/cloudcasting_backend/services/s3_downloader.py b/cloudcasting_backend/services/s3_downloader.py new file mode 100644 index 0000000..77b9164 --- /dev/null +++ b/cloudcasting_backend/services/s3_downloader.py @@ -0,0 +1,229 @@ +"""Module for downloading data from S3 bucket on a 30 min interval.""" + +import datetime +import os +import threading +import time +from functools import wraps +from pathlib import Path +from typing import Callable, Optional + +import boto3 +from loguru import logger as log + +from cloudcasting_backend.settings import settings + + +def ensure_directory_exists(func: Callable[..., None]) -> Callable[..., None]: + """Decorator to ensure directory exists before downloading.""" + + @wraps(func) + def wrapper(*args: object, **kwargs: object) -> None: + local_dir = kwargs.get("local_dir") or args[2] if len(args) > 2 else None + if local_dir: + Path(str(local_dir)).mkdir(parents=True, exist_ok=True) + return func(*args, **kwargs) + + return wrapper + + +@ensure_directory_exists +def download_s3_folder( + bucket_name: str, + s3_folder: str, + local_dir: Optional[str] = None, +) -> None: + """ + Download the contents of a folder directory from S3. + + Args: + bucket_name: the name of the s3 bucket + s3_folder: the folder path in the s3 bucket + local_dir: a relative or absolute directory path in the local file system + + If None, files will be placed in the current directory + """ + # Configure S3 client + s3 = boto3.resource( + "s3", + aws_access_key_id=settings.s3_access_key_id, + aws_secret_access_key=settings.s3_secret_access_key, + region_name=settings.s3_region_name, + ) + + log.info(f"Starting download from bucket {bucket_name}, folder {s3_folder}") + bucket = s3.Bucket(bucket_name) + downloaded_files = 0 + + # If by an chance the folder utc timestamp based folder is not found, try to download latest.zarr + objects = list(bucket.objects.filter(Prefix=s3_folder).limit(1)) + if not objects: + log.warning( + f"No objects found in bucket {bucket_name} with prefix {s3_folder} thus trying latest.zarr", + ) + s3_folder = "cloudcasting_forecast/latest.zarr/" + + # Download the files + for obj in bucket.objects.filter(Prefix=s3_folder): + target = ( + obj.key + if local_dir is None + else os.path.join(local_dir, os.path.relpath(obj.key, s3_folder)) + ) + + if not os.path.exists(os.path.dirname(target)): + os.makedirs(os.path.dirname(target)) + + if obj.key[-1] == "/": + continue + + bucket.download_file(obj.key, target) + downloaded_files += 1 + + log.info( + f"Finished downloading {downloaded_files} files from {s3_folder} to {local_dir}", + ) + + +def get_current_forecast_folder( + bucket_name: Optional[str] = None, + target_time: Optional[datetime.datetime] = None, +) -> str: + """ + Get the forecast folder name for a specific timestamp. + + Args: + bucket_name: Unused parameter kept for backward compatibility + target_time: Specific datetime to use for the folder name (defaults to current time if None) + Should be one of the half-hour marks (XX:00 or XX:30) + + Returns the path to the time-specific zarr folder. + """ + if not target_time: + # Default to current UTC time + target_time = datetime.datetime.now(datetime.timezone.utc) + # Round to the nearest half hour + minutes = target_time.minute + if minutes < 30: + target_time = target_time.replace(minute=0, second=0, microsecond=0) + else: + target_time = target_time.replace(minute=30, second=0, microsecond=0) + + # Format the folder name as YYYY-MM-DDThh:mm.zarr/ + forecast_folder = ( + f"cloudcasting_forecast/{target_time.strftime('%Y-%m-%dT%H:%M')}.zarr/" + ) + log.info(f"Using forecast folder: {forecast_folder}") + return forecast_folder + + +def scheduled_download( + bucket_name: str = settings.s3_bucket_name, + local_dir: str = settings.zarr_storage_path, + interval_minutes: int = 30, # 30 min interval as the model updates every half hour +) -> None: + """ + Schedule the download of S3 folder at regular intervals aligned to half-hour marks. + + Note: Files are generated with a ~15 minute delay after the half-hour mark. + For example, the 18:30 file is ready around 18:45. + + Args: + bucket_name: the name of the s3 bucket + local_dir: local directory to store downloaded files + interval_minutes: interval in minutes between downloads (default is 30 for half-hour marks) + """ + log.info( + f"Starting scheduled downloads every {interval_minutes} minutes, aligned to half-hour marks", + ) + + # Generation delay in minutes (time to wait after a half-hour mark for files to be generated) + generation_delay = 15 + + while True: + try: + # Get current UTC time + now = datetime.datetime.now(datetime.timezone.utc) + current_time = now.strftime("%Y-%m-%d %H:%M:%S UTC") + log.info(f"Current time: {current_time}") + + # Determine which files are ready to download based on the 15-minute generation delay + minutes_past_half_hour = now.minute % 30 + + if now.minute < 30: + if minutes_past_half_hour < generation_delay: + target_time = now.replace( + minute=30, + second=0, + microsecond=0, + ) - datetime.timedelta(hours=1) + else: + target_time = now.replace(minute=0, second=0, microsecond=0) + elif minutes_past_half_hour < generation_delay: + target_time = now.replace(minute=0, second=0, microsecond=0) + else: + target_time = now.replace(minute=30, second=0, microsecond=0) + + log.info( + f"Based on current time {current_time} with {generation_delay}min generation delay, downloading files for: {target_time.strftime('%Y-%m-%d %H:%M:%S UTC')}", + ) + + s3_folder = get_current_forecast_folder(target_time=target_time) + current_half_hour = target_time.strftime("%Y-%m-%d %H:%M:%S UTC") + log.info(f"Downloading data for half-hour mark: {current_half_hour}") + download_s3_folder(bucket_name, s3_folder, local_dir) + log.info( + f"Download completed at {datetime.datetime.now(datetime.timezone.utc).strftime('%Y-%m-%d %H:%M:%S UTC')}", + ) + + # Calculate time until the next half-hour mark plus generation delay + now = datetime.datetime.now(datetime.timezone.utc) + if now.minute < 30: + next_target = now.replace(minute=30, second=0, microsecond=0) + else: + next_target = now.replace( + minute=0, + second=0, + microsecond=0, + ) + datetime.timedelta(hours=1) + next_target_with_delay = next_target + datetime.timedelta( + minutes=generation_delay, + ) + + # Calculate sleep time until next download (factoring in generation delay) + sleep_seconds = (next_target_with_delay - now).total_seconds() + + # Ensure we don't have a negative sleep time due to execution delays + if sleep_seconds <= 0: + sleep_seconds = 120 # Default to 2 minute if calculation went wrong + + log.info( + f"Next download scheduled for: {next_target_with_delay.strftime('%Y-%m-%d %H:%M:%S UTC')}", + ) + log.info(f"Sleeping for {sleep_seconds/60:.2f} minutes until next download") + time.sleep(sleep_seconds) + + except Exception as e: + log.opt(exception=e).error("Error during scheduled download") + log.info("Retrying in 5 minutes") + time.sleep(300) + + +def start_download_thread() -> None: + """Start the download process in a separate thread.""" + download_thread = threading.Thread( + target=scheduled_download, + daemon=True, + ) + log.info("Starting S3 downloader thread") + download_thread.start() + + +if __name__ == "__main__": + # just in case we want to run this script to test this file directly + bucket_name = settings.s3_bucket_name + local_dir = settings.zarr_storage_path + log.info( + "Starting S3 downloader with time-specific folder names (format: YYYY-MM-DDThh:mm.zarr/)", + ) + scheduled_download(bucket_name, local_dir) diff --git a/cloudcasting_backend/settings.py b/cloudcasting_backend/settings.py new file mode 100644 index 0000000..4e62041 --- /dev/null +++ b/cloudcasting_backend/settings.py @@ -0,0 +1,67 @@ +import enum +from pathlib import Path +from tempfile import gettempdir +from typing import Optional + +from pydantic_settings import BaseSettings, SettingsConfigDict + +TEMP_DIR = Path(gettempdir()) + + +class LogLevel(str, enum.Enum): + """Possible log levels.""" + + NOTSET = "NOTSET" + DEBUG = "DEBUG" + INFO = "INFO" + WARNING = "WARNING" + ERROR = "ERROR" + FATAL = "FATAL" + + +class Settings(BaseSettings): + """ + Application settings. + + These parameters can be configured + with environment variables. + """ + + host: str = "127.0.0.1" + port: int = 8000 + # quantity of workers for uvicorn + workers_count: int = 1 + # Enable uvicorn reloading + reload: bool = False + + # Current environment + environment: str = "dev" + + log_level: LogLevel = LogLevel.INFO + + # Sentry's configuration. + sentry_dsn: Optional[str] = None + sentry_sample_rate: float = 1.0 + + # Grpc endpoint for opentelemetry. + # E.G. http://localhost:4317 + opentelemetry_endpoint: Optional[str] = None + + # S3 configuration for cloudcasting data - dont worry about the empty string here, it is initialized from .env + s3_bucket_name: str = "" + s3_region_name: str = "" + s3_access_key_id: str = "" + s3_secret_access_key: str = "" + s3_download_interval: int = 30 + + # Path to store downloaded zarr files + zarr_storage_path: str = "cloudcasting_backend/static/zarr_files" + + model_config = SettingsConfigDict( + env_file=".env", + env_prefix="CLOUDCASTING_BACKEND_", + env_file_encoding="utf-8", + ) + + +settings = Settings() diff --git a/cloudcasting_backend/web/__init__.py b/cloudcasting_backend/web/__init__.py new file mode 100644 index 0000000..db6d7d4 --- /dev/null +++ b/cloudcasting_backend/web/__init__.py @@ -0,0 +1 @@ +"""WEB API for cloudcasting_backend.""" diff --git a/cloudcasting_backend/web/api/__init__.py b/cloudcasting_backend/web/api/__init__.py new file mode 100644 index 0000000..0b0497e --- /dev/null +++ b/cloudcasting_backend/web/api/__init__.py @@ -0,0 +1 @@ +"""cloudcasting_backend API package.""" diff --git a/cloudcasting_backend/web/api/cloudcasting/__init__.py b/cloudcasting_backend/web/api/cloudcasting/__init__.py new file mode 100644 index 0000000..b4921a2 --- /dev/null +++ b/cloudcasting_backend/web/api/cloudcasting/__init__.py @@ -0,0 +1,5 @@ +"""Cloudcasting API package.""" + +from cloudcasting_backend.web.api.cloudcasting.views import router + +__all__ = ["router"] diff --git a/cloudcasting_backend/web/api/cloudcasting/views.py b/cloudcasting_backend/web/api/cloudcasting/views.py new file mode 100644 index 0000000..11fee2f --- /dev/null +++ b/cloudcasting_backend/web/api/cloudcasting/views.py @@ -0,0 +1,85 @@ +"""API endpoints for cloudcasting data.""" + +from pathlib import Path + +from fastapi import APIRouter, HTTPException, status +from pydantic import BaseModel + +from cloudcasting_backend.services.s3_downloader import ( + download_s3_folder, + get_current_forecast_folder, +) +from cloudcasting_backend.settings import settings + +router = APIRouter(prefix="/cloudcasting", tags=["cloudcasting"]) + + +class CloudcastingResponse(BaseModel): + """Response model for cloudcasting endpoint.""" + + message: str + data_path: str + + +@router.get("/status", response_model=CloudcastingResponse) +async def get_cloudcasting_status() -> CloudcastingResponse: + """ + Get status of cloudcasting data. + + Returns information about the latest zarr file. + """ + zarr_storage_path = Path(settings.zarr_storage_path) + latest_path = zarr_storage_path / "cloudcasting_forecast" / "latest.zarr" + + # Check if the latest.zarr directory exists + if not latest_path.exists(): + return CloudcastingResponse(message="No data available yet", data_path="") + + # Check if the directory has content + file_count = sum(1 for _ in latest_path.rglob("*") if _.is_file()) + if file_count == 0: + return CloudcastingResponse(message="Zarr directory is empty", data_path="") + + # Return path to latest data + relative_path = latest_path.relative_to(Path(settings.zarr_storage_path).parent) + + return CloudcastingResponse( + message="Data available", + data_path=f"/static/{relative_path}", + ) + + +@router.post("/trigger-download", response_model=CloudcastingResponse) +async def trigger_download() -> CloudcastingResponse: + """ + Manually trigger a download of the latest cloudcasting data. + """ + try: + bucket_name = settings.s3_bucket_name + s3_folder = get_current_forecast_folder() + local_dir = settings.zarr_storage_path + + # Ensure directory exists + Path(local_dir).mkdir(parents=True, exist_ok=True) + + # Download the data + download_s3_folder(bucket_name, s3_folder, local_dir) + + latest_path = Path(local_dir) / "cloudcasting_forecast" / "latest.zarr" + if latest_path.exists(): + relative_path = latest_path.relative_to( + Path(settings.zarr_storage_path).parent, + ) + data_path = f"/static/{relative_path}" + else: + data_path = "" + + return CloudcastingResponse( + message="Download triggered successfully", + data_path=data_path, + ) + except Exception as e: + raise HTTPException( + status_code=status.HTTP_500_INTERNAL_SERVER_ERROR, + detail=f"Failed to download data: {e!s}", + ) diff --git a/cloudcasting_backend/web/api/echo/__init__.py b/cloudcasting_backend/web/api/echo/__init__.py new file mode 100644 index 0000000..13f404c --- /dev/null +++ b/cloudcasting_backend/web/api/echo/__init__.py @@ -0,0 +1,5 @@ +"""Echo API.""" + +from cloudcasting_backend.web.api.echo.views import router + +__all__ = ["router"] diff --git a/cloudcasting_backend/web/api/echo/schema.py b/cloudcasting_backend/web/api/echo/schema.py new file mode 100644 index 0000000..f408bc2 --- /dev/null +++ b/cloudcasting_backend/web/api/echo/schema.py @@ -0,0 +1,7 @@ +from pydantic import BaseModel + + +class Message(BaseModel): + """Simple message model.""" + + message: str diff --git a/cloudcasting_backend/web/api/echo/views.py b/cloudcasting_backend/web/api/echo/views.py new file mode 100644 index 0000000..05fa838 --- /dev/null +++ b/cloudcasting_backend/web/api/echo/views.py @@ -0,0 +1,18 @@ +from fastapi import APIRouter + +from cloudcasting_backend.web.api.echo.schema import Message + +router = APIRouter() + + +@router.post("/", response_model=Message) +async def send_echo_message( + incoming_message: Message, +) -> Message: + """ + Sends echo back to user. + + :param incoming_message: incoming message. + :returns: message same as the incoming. + """ + return incoming_message diff --git a/cloudcasting_backend/web/api/monitoring/__init__.py b/cloudcasting_backend/web/api/monitoring/__init__.py new file mode 100644 index 0000000..5a0e304 --- /dev/null +++ b/cloudcasting_backend/web/api/monitoring/__init__.py @@ -0,0 +1,5 @@ +"""API for checking project status.""" + +from cloudcasting_backend.web.api.monitoring.views import router + +__all__ = ["router"] diff --git a/cloudcasting_backend/web/api/monitoring/views.py b/cloudcasting_backend/web/api/monitoring/views.py new file mode 100644 index 0000000..1b36caf --- /dev/null +++ b/cloudcasting_backend/web/api/monitoring/views.py @@ -0,0 +1,12 @@ +from fastapi import APIRouter + +router = APIRouter() + + +@router.get("/health") +def health_check() -> None: + """ + Checks the health of a project. + + It returns 200 if the project is healthy. + """ diff --git a/cloudcasting_backend/web/api/router.py b/cloudcasting_backend/web/api/router.py new file mode 100644 index 0000000..2d46050 --- /dev/null +++ b/cloudcasting_backend/web/api/router.py @@ -0,0 +1,8 @@ +from fastapi.routing import APIRouter + +from cloudcasting_backend.web.api import cloudcasting, echo, monitoring + +api_router = APIRouter() +api_router.include_router(monitoring.router) +api_router.include_router(echo.router, prefix="/echo", tags=["echo"]) +api_router.include_router(cloudcasting.router, prefix="/api", tags=["cloudcasting"]) diff --git a/cloudcasting_backend/web/application.py b/cloudcasting_backend/web/application.py new file mode 100644 index 0000000..b5973ff --- /dev/null +++ b/cloudcasting_backend/web/application.py @@ -0,0 +1,61 @@ +import logging +from importlib import metadata +from pathlib import Path + +import sentry_sdk +from fastapi import FastAPI +from fastapi.responses import UJSONResponse +from fastapi.staticfiles import StaticFiles +from sentry_sdk.integrations.fastapi import FastApiIntegration +from sentry_sdk.integrations.logging import LoggingIntegration + +from cloudcasting_backend.log import configure_logging +from cloudcasting_backend.settings import settings +from cloudcasting_backend.web.api.router import api_router +from cloudcasting_backend.web.lifespan import lifespan_setup + + +def get_app() -> FastAPI: + """ + Get FastAPI application. + + This is the main constructor of an application. + + :return: application. + """ + configure_logging() + if settings.sentry_dsn: + # Enables sentry integration. + sentry_sdk.init( + dsn=settings.sentry_dsn, + traces_sample_rate=settings.sentry_sample_rate, + environment=settings.environment, + integrations=[ + FastApiIntegration(transaction_style="endpoint"), + LoggingIntegration( + level=logging.getLevelName( + settings.log_level.value, + ), + event_level=logging.ERROR, + ), + ], + ) + app = FastAPI( + title="cloudcasting_backend", + version=metadata.version("cloudcasting_backend"), + lifespan=lifespan_setup, + docs_url="/api/docs", + redoc_url="/api/redoc", + openapi_url="/api/openapi.json", + default_response_class=UJSONResponse, + ) + + # Main router for the API. + app.include_router(router=api_router, prefix="/api") + + # Mount static files directory + static_dir = Path("cloudcasting_backend/static") + static_dir.mkdir(exist_ok=True, parents=True) + app.mount("/static", StaticFiles(directory=str(static_dir)), name="static") + + return app diff --git a/cloudcasting_backend/web/lifespan.py b/cloudcasting_backend/web/lifespan.py new file mode 100644 index 0000000..6c633dd --- /dev/null +++ b/cloudcasting_backend/web/lifespan.py @@ -0,0 +1,101 @@ +from contextlib import asynccontextmanager +from typing import AsyncGenerator + +from fastapi import FastAPI +from opentelemetry.exporter.otlp.proto.grpc.trace_exporter import OTLPSpanExporter +from opentelemetry.instrumentation.fastapi import FastAPIInstrumentor +from opentelemetry.sdk.resources import ( + DEPLOYMENT_ENVIRONMENT, + SERVICE_NAME, + TELEMETRY_SDK_LANGUAGE, + Resource, +) +from opentelemetry.sdk.trace import TracerProvider +from opentelemetry.sdk.trace.export import BatchSpanProcessor +from opentelemetry.trace import set_tracer_provider + +from cloudcasting_backend.services import start_download_thread +from cloudcasting_backend.settings import settings + + +def setup_opentelemetry(app: FastAPI) -> None: # pragma: no cover + """ + Enables opentelemetry instrumentation. + + :param app: current application. + """ + if not settings.opentelemetry_endpoint: + return + + tracer_provider = TracerProvider( + resource=Resource( + attributes={ + SERVICE_NAME: "cloudcasting_backend", + TELEMETRY_SDK_LANGUAGE: "python", + DEPLOYMENT_ENVIRONMENT: settings.environment, + }, + ), + ) + + tracer_provider.add_span_processor( + BatchSpanProcessor( + OTLPSpanExporter( + endpoint=settings.opentelemetry_endpoint, + insecure=True, + ), + ), + ) + + excluded_endpoints = [ + app.url_path_for("health_check"), + app.url_path_for("openapi"), + app.url_path_for("swagger_ui_html"), + app.url_path_for("swagger_ui_redirect"), + app.url_path_for("redoc_html"), + ] + + FastAPIInstrumentor().instrument_app( + app, + tracer_provider=tracer_provider, + excluded_urls=",".join(excluded_endpoints), + ) + + set_tracer_provider(tracer_provider=tracer_provider) + + +def stop_opentelemetry(app: FastAPI) -> None: # pragma: no cover + """ + Disables opentelemetry instrumentation. + + :param app: current application. + """ + if not settings.opentelemetry_endpoint: + return + + FastAPIInstrumentor().uninstrument_app(app) + + +@asynccontextmanager +async def lifespan_setup( + app: FastAPI, +) -> AsyncGenerator[None, None]: # pragma: no cover + """ + Actions to run on application startup. + + This function uses fastAPI app to store data + in the state, such as db_engine. + + :param app: the fastAPI application. + :return: function that actually performs actions. + """ + + app.middleware_stack = None + setup_opentelemetry(app) + app.middleware_stack = app.build_middleware_stack() + + # Start the scheduled S3 download thread + if settings.environment != "pytest": # Don't start in test environment + start_download_thread() + + yield + stop_opentelemetry(app) diff --git a/deploy/docker-compose.dev.yml b/deploy/docker-compose.dev.yml new file mode 100644 index 0000000..8802700 --- /dev/null +++ b/deploy/docker-compose.dev.yml @@ -0,0 +1,13 @@ +services: + api: + ports: + # Exposes application port. + - "8000:8000" + build: + context: . + volumes: + # Adds current directory as volume. + - .:/app/src/ + environment: + # Enables autoreload. + CLOUDCASTING_BACKEND_RELOAD: "True" diff --git a/deploy/docker-compose.otlp.yml b/deploy/docker-compose.otlp.yml new file mode 100644 index 0000000..6fb5343 --- /dev/null +++ b/deploy/docker-compose.otlp.yml @@ -0,0 +1,23 @@ +services: + api: + environment: + # Adds opentelemetry endpoint. + CLOUDCASTING_BACKEND_OPENTELEMETRY_ENDPOINT: "http://otel-collector:4317" + + otel-collector: + image: otel/opentelemetry-collector-contrib:0.53.0 + volumes: + # Adds config for opentelemetry. + - ./deploy/otel-collector-config.yml:/config.yml + command: --config config.yml + ports: + # Collector's endpoint + - "4317:4317" + + jaeger: + image: jaegertracing/all-in-one:1.35 + hostname: jaeger + ports: + # Jaeger UI + - 16686:16686 + diff --git a/deploy/otel-collector-config.yml b/deploy/otel-collector-config.yml new file mode 100644 index 0000000..6220935 --- /dev/null +++ b/deploy/otel-collector-config.yml @@ -0,0 +1,33 @@ +# Receives all info with OpenTelemetry protocol. +receivers: + otlp: + protocols: + grpc: + http: + +# Batch all spans. +processors: + batch: + +exporters: + # Exports spans to log. + logging: + logLevel: info + + # Exports spans to jaeger. + jaeger: + endpoint: "jaeger:14250" + tls: + insecure: true + +extensions: + health_check: + pprof: + +service: + extensions: [health_check, pprof] + pipelines: + traces: + receivers: [otlp] + processors: [batch] + exporters: [logging, jaeger] diff --git a/docker-compose.yml b/docker-compose.yml new file mode 100644 index 0000000..b7b5440 --- /dev/null +++ b/docker-compose.yml @@ -0,0 +1,13 @@ +services: + api: &main_app + build: + context: . + dockerfile: ./Dockerfile + image: cloudcasting_backend:${CLOUDCASTING_BACKEND_VERSION:-latest} + restart: always + env_file: + - .env + environment: + CLOUDCASTING_BACKEND_HOST: 0.0.0.0 + + diff --git a/poetry.lock b/poetry.lock new file mode 100644 index 0000000..69b58a6 --- /dev/null +++ b/poetry.lock @@ -0,0 +1,2738 @@ +# This file is automatically @generated by Poetry 2.1.3 and should not be changed by hand. + +[[package]] +name = "annotated-types" +version = "0.7.0" +description = "Reusable constraint types to use with typing.Annotated" +optional = false +python-versions = ">=3.8" +groups = ["main"] +files = [ + {file = "annotated_types-0.7.0-py3-none-any.whl", hash = "sha256:1f02e8b43a8fbbc3f3e0d4f0f4bfc8131bcb4eebe8849b8e5c773f3a1c582a53"}, + {file = "annotated_types-0.7.0.tar.gz", hash = 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+pymongo = "^4.10.1" +sentry-sdk = "^2.19.2" +opentelemetry-api = "^1.29.0" +opentelemetry-sdk = "^1.29.0" +opentelemetry-exporter-otlp = "^1.29.0" +opentelemetry-instrumentation = "^0.50b0" +opentelemetry-instrumentation-fastapi = "^0.50b0" +loguru = "^0.7.3" +boto3 = "^1.38.41" + + +[tool.poetry.group.dev.dependencies] +pytest = "^8" +ruff = "^0.5.0" +mypy = "^1.10.1" +pre-commit = "^3.7.1" +black = "^24.4.2" +pytest-cov = "^5" +anyio = "^4" +pytest-env = "^1.1.3" +httpx = "^0.27.0" + +[tool.isort] +profile = "black" +multi_line_output = 3 +src_paths = ["cloudcasting_backend",] -# MyPy configuration -# * See https://mypy.readthedocs.io/en/stable/index.html [tool.mypy] -python_version = "3.12" -dmypy = true strict = true -warn_unreachable = true -warn_return_any = true -disallow_untyped_defs = true -plugins = [ - "numpy.typing.mypy_plugin", +ignore_missing_imports = true +allow_subclassing_any = true +allow_untyped_calls = true +pretty = true +show_error_codes = true +implicit_reexport = true +allow_untyped_decorators = true +warn_unused_ignores = false +warn_return_any = false +namespace_packages = true + +[tool.pytest.ini_options] +filterwarnings = [ + "error", + "ignore::DeprecationWarning", + "ignore:.*unclosed.*:ResourceWarning", ] - -[[tool.mypy.overrides]] -# Ignore missing imports for libraries that don't have them. -# If they are ever made, remove from here! -module = [ - "fsspec", - "s3fs", - "zarr", +env = [ + "CLOUDCASTING_BACKEND_ENVIRONMENT=pytest", + "CLOUDCASTING_BACKEND_DB_BASE=cloudcasting_backend_test", + "CLOUDCASTING_BACKEND_SENTRY_DSN=", ] -ignore_missing_imports = true - -# Ruff configuration -# * See https://beta.ruff.rs/docs/ [tool.ruff] -line-length = 100 -indent-width = 4 -exclude = ["__init__.py"] - -[tool.ruff.lint] -select = [ - "F", # pyflakes - "E", # pycodestyle - "W", # whitespace and newlines - "I", # isort - "UP", # modernize - "ANN", # flake8 type annotations - "S", # flake8 bandit - "B", # flake8 bugbear - "C4", # flake8 comprehensions - "COM", # flake8 commas - "T20", # flake8 print - "SIM", # flake8 simplify - "ARG", # flake8 unused arguments - "DTZ", # flake8 datetimes - "Q", # flake8 quotes - "TCH", # flake8 typecheck - "D", # pydocstyle - "RUF", # ruff-specific rules +# List of enabled rulsets. +# See https://docs.astral.sh/ruff/rules/ for more information. +lint.select = [ + "E", # Error + "F", # Pyflakes + "W", # Pycodestyle + "C90", # McCabe complexity + "I", # Isort + "N", # pep8-naming + "D", # Pydocstyle + "ANN", # Pytype annotations + "S", # Bandit + "B", # Bugbear + "COM", # Commas + "C4", # Comprehensions + "ISC", # Implicit string concat + "PIE", # Unnecessary code + "T20", # Catch prints + "PYI", # validate pyi files + "Q", # Checks for quotes + "RSE", # Checks raise statements + "RET", # Checks return statements + "SLF", # Self checks + "SIM", # Simplificator + "PTH", # Pathlib checks + "ERA", # Checks for commented out code + "PL", # PyLint checks + "RUF", # Specific to Ruff checks +] +lint.ignore = [ + "D105", # Missing docstring in magic method + "D107", # Missing docstring in __init__ + "B008", # Do not perform function calls in argument defaults + "D211", # No blank lines allowed before class docstring + "D212", # Multi-line docstring summary should start at the first line + "D401", # First line should be in imperative mood + "D104", # Missing docstring in public package + "D100", # Missing docstring in public module + "D202", # No blank lines allowed after function docstring + "ANN102", # Missing type annotation for self in method + "ANN101", # Missing type annotation for argument + "ANN401", # typing.Any are disallowed in `**kwargs + "PLR0913", # Too many arguments for function call + "D106", # Missing docstring in public nested class ] -fixable = ["ALL"] -ignore = [ - "D203", "D213", "D215", "D400", "D401", "D404", "D406", - "D407", "D408", "D409", "D413", +exclude = [ + ".venv/" ] +lint.mccabe = { max-complexity = 10 } +line-length = 88 [tool.ruff.lint.per-file-ignores] -"test*" = ["D", "ANN"] +"tests/*" = [ + "S101", # Use of assert detected +] [tool.ruff.lint.pydocstyle] -convention = "google" - -[tool.ruff.format] -quote-style = "double" -indent-style = "space" -line-ending = "auto" -docstring-code-format = true -docstring-code-line-length = 100 - -# --- DOCUMENTATION CONFIGURATION --- # +convention = "pep257" +ignore-decorators = ["typing.overload"] + +[tool.ruff.lint.pylint] +allow-magic-value-types = ["int", "str", "float", "bytes"] + + +[fastapi-template.options] +project_name = "cloudcasting_backend" +api_type = "rest" +enable_redis = "None" +enable_rmq = "None" +ci_type = "github" +enable_migrations = "None" +enable_taskiq = "None" +enable_kube = "None" +kube_name = "cloudcasting-backend" +enable_routers = "True" +enable_kafka = "None" +enable_loguru = "True" +traefik_labels = "None" +add_dummy = "None" +orm = "none" +self_hosted_swagger = "None" +prometheus_enabled = "None" +sentry_enabled = "True" +otlp_enabled = "True" +gunicorn = "None" +add_users = "None" +cookie_auth = "None" +jwt_auth = "None" -[tool.pydoctor] -add-package = ["src/ocf-python-project"] -project-base-dir = "src/ocf-python-project" -docformat = "google" -html-output = "docs" -theme = "classic" -privacy = [ - "HIDDEN:**.test_*", -] +[build-system] +requires = ["poetry-core>=1.0.0"] +build-backend = "poetry.core.masonry.api" diff --git a/src/ocf_template/__init__.py b/src/ocf_template/__init__.py deleted file mode 100644 index f88f499..0000000 --- a/src/ocf_template/__init__.py +++ /dev/null @@ -1,52 +0,0 @@ -"""Setup logging configuration for the application.""" - -import json -import sys -import os -import loguru - -def development_formatter(record: "loguru.Record") -> str: - """Format a log record for development.""" - return "".join(( - "{time:HH:mm:ss.SSS} ", - "{level:<7s} [{file}:{line}] | {message} ", - "{extra}" if record["extra"] else "", - "\n{exception}", - )) - -def structured_formatter(record: "loguru.Record") -> str: - """Format a log record as a structured JSON object.""" - # TODO: Make exceptions dict-formatted when present - record["extra"]["serialized"] = json.dumps({ - "timestamp": record["time"].strftime("%Y-%m-%dT%H:%M:%S.%fZ"), - "severity": record["level"].name, - "message": record["message"], - "logging.googleapis.com/labels": {"python_logger": record["name"]}, - "logging.googleapis.com/sourceLocation": { - "file": record["file"].name, - "line": record["line"], - "function": record["function"], - }, - "context": record["extra"], - }) - return "{extra[serialized]}\n" - -# Define the logging formatter, removing the default one -loguru.logger.remove() -if sys.stdout.isatty(): - # Simple logging for development - loguru.logger.add( - sys.stdout, format=development_formatter, diagnose=True, - level=os.getenv("LOGLEVEL", "DEBUG"), backtrace=True, colorize=True, - ) -else: - # JSON logging for containers - loguru.logger.add( - sys.stdout, format=structured_formatter, backtrace=True, - level=os.getenv("LOGLEVEL", "INFO").upper(), - ) - -# Uncomment and change the list to quieten external libraries -# for logger in ["aiobotocore", "cfgrib"]: -# logging.getLogger(logger).setLevel(logging.WARNING) - diff --git a/src/ocf_template/main.py b/src/ocf_template/main.py deleted file mode 100644 index 82d1c77..0000000 --- a/src/ocf_template/main.py +++ /dev/null @@ -1,47 +0,0 @@ -"""Entrypoint to the application.""" - -from importlib.metadata import PackageNotFoundError, version - -from loguru import logger as log - -try: - __version__ = version("ocf-template") -except PackageNotFoundError: - __version__ = "v?" - -def main() -> None: - """Entrypoint to the application. - - Thanks to the `script` section in `pyproject.toml`, this function is - automatically executed when the package is run as a script via - `ocf-template-cli`. Change name in pyproject to something more suitable - for your package! - """ - log.info("Hello, world!") - log.info("Adding extra context to this log to help with debugging: ", version=__version__) - - log.info("You can also contextualize logs in bulk to save having to provide it repeatedly!") - filenames: list[str] = [f"file_{i}.txt" for i in range(5)] - log.debug("Might be some spooky numbers in these files!", num_files=len(filenames)) - for filename in filenames: - with log.contextualize(filename=filename): - log.debug("Trying to find spooky numbers in file {filename}") - if "4" in filename: - log.warning("Spooky number found!") - else: - log.debug("No spooky numbers found") - - log.info("Different log levels are also nicely formatted") - for i, level in enumerate(["DEBUG", "INFO", "WARNING", "ERROR"]): - log.log(level, f"This is a {level} log message", index=i) - - log.info("Consider wrapping your main in a try/except block to handle exceptions gracefully") - try: - y: int = int(3 / 0) - log.warning("This will never be logged", y=y) - except ZeroDivisionError as e: - log.opt(exception=e).error("Caught exception") - - log.info("And if you run this in a container, you'll see structured logs instead!") - log.info("Goodbye, world!") - diff --git a/tests/__init__.py b/tests/__init__.py index e69de29..fb06417 100644 --- a/tests/__init__.py +++ b/tests/__init__.py @@ -0,0 +1 @@ +"""Tests for cloudcasting_backend.""" diff --git a/tests/conftest.py b/tests/conftest.py new file mode 100644 index 0000000..12f287d --- /dev/null +++ b/tests/conftest.py @@ -0,0 +1,43 @@ +from typing import Any, AsyncGenerator + +import pytest +from fastapi import FastAPI +from httpx import AsyncClient + +from cloudcasting_backend.web.application import get_app + + +@pytest.fixture(scope="session") +def anyio_backend() -> str: + """ + Backend for anyio pytest plugin. + + :return: backend name. + """ + return "asyncio" + + +@pytest.fixture +def fastapi_app() -> FastAPI: + """ + Fixture for creating FastAPI app. + + :return: fastapi app with mocked dependencies. + """ + application = get_app() + return application # noqa: RET504 + + +@pytest.fixture +async def client( + fastapi_app: FastAPI, + anyio_backend: Any, +) -> AsyncGenerator[AsyncClient, None]: + """ + Fixture that creates client for requesting server. + + :param fastapi_app: the application. + :yield: client for the app. + """ + async with AsyncClient(app=fastapi_app, base_url="http://test", timeout=2.0) as ac: + yield ac diff --git a/tests/test_cloudcasting_backend.py b/tests/test_cloudcasting_backend.py new file mode 100644 index 0000000..1afa908 --- /dev/null +++ b/tests/test_cloudcasting_backend.py @@ -0,0 +1,17 @@ +import pytest +from fastapi import FastAPI +from httpx import AsyncClient +from starlette import status + + +@pytest.mark.anyio +async def test_health(client: AsyncClient, fastapi_app: FastAPI) -> None: + """ + Checks the health endpoint. + + :param client: client for the app. + :param fastapi_app: current FastAPI application. + """ + url = fastapi_app.url_path_for("health_check") + response = await client.get(url) + assert response.status_code == status.HTTP_200_OK diff --git a/tests/test_echo.py b/tests/test_echo.py new file mode 100644 index 0000000..701b5de --- /dev/null +++ b/tests/test_echo.py @@ -0,0 +1,21 @@ +import uuid + +import pytest +from fastapi import FastAPI +from httpx import AsyncClient +from starlette import status + + +@pytest.mark.anyio +async def test_echo(fastapi_app: FastAPI, client: AsyncClient) -> None: + """ + Tests that echo route works. + + :param fastapi_app: current application. + :param client: client for the app. + """ + url = fastapi_app.url_path_for("send_echo_message") + message = uuid.uuid4().hex + response = await client.post(url, json={"message": message}) + assert response.status_code == status.HTTP_200_OK + assert response.json()["message"] == message diff --git a/tests/test_something.py b/tests/test_something.py deleted file mode 100644 index 1d282b8..0000000 --- a/tests/test_something.py +++ /dev/null @@ -1,7 +0,0 @@ -import unittest - - -class TestSomething(unittest.TestCase): - def test_something(self) -> None: - self.assertEqual(1, 1) - From f6ebd7e566a1906a6136d06f0703e6715a51107d Mon Sep 17 00:00:00 2001 From: suvanbanerjee Date: Wed, 25 Jun 2025 00:42:32 +0530 Subject: [PATCH 02/18] fix cicd --- .github/workflows/tests.yml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.github/workflows/tests.yml b/.github/workflows/tests.yml index cf74b02..c2051dc 100644 --- a/.github/workflows/tests.yml +++ b/.github/workflows/tests.yml @@ -21,7 +21,7 @@ jobs: python-version: '3.11' cache: 'poetry' - name: Install deps - run: poetry install + run: poetry install --no-root - name: Run lint check run: poetry run pre-commit run -a ${{ matrix.cmd }} pytest: From 502653acbcd6965e11e2f0a0d25d6e14916203c4 Mon Sep 17 00:00:00 2001 From: suvanbanerjee Date: Mon, 14 Jul 2025 14:13:32 +0530 Subject: [PATCH 03/18] fix version error --- Dockerfile | 8 ++++++-- README.md | 3 +++ cloudcasting_backend/web/application.py | 15 ++++++++++++++- poetry.lock | 5 ++--- pyproject.toml | 1 + 5 files changed, 26 insertions(+), 6 deletions(-) create mode 100644 README.md diff --git a/Dockerfile b/Dockerfile index 5751354..eb2d885 100644 --- a/Dockerfile +++ b/Dockerfile @@ -14,12 +14,16 @@ WORKDIR /app/src # Installing requirements RUN --mount=type=cache,target=/tmp/poetry_cache poetry install --only main -# Copying actuall application +# Copying actual application COPY . /app/src/ -RUN --mount=type=cache,target=/tmp/poetry_cache poetry install --only main +RUN --mount=type=cache,target=/tmp/poetry_cache poetry install --only main --no-root + +# Install the package in development mode +RUN pip install -e . CMD ["/usr/local/bin/python", "-m", "cloudcasting_backend"] FROM prod AS dev RUN --mount=type=cache,target=/tmp/poetry_cache poetry install +RUN pip install -e . diff --git a/README.md b/README.md new file mode 100644 index 0000000..e77fc5e --- /dev/null +++ b/README.md @@ -0,0 +1,3 @@ +# CloudCasting Backend + +This is the API backend for the CloudCasting project. diff --git a/cloudcasting_backend/web/application.py b/cloudcasting_backend/web/application.py index b5973ff..9c10e60 100644 --- a/cloudcasting_backend/web/application.py +++ b/cloudcasting_backend/web/application.py @@ -1,6 +1,8 @@ import logging from importlib import metadata from pathlib import Path +import os +import tomli import sentry_sdk from fastapi import FastAPI @@ -40,9 +42,20 @@ def get_app() -> FastAPI: ), ], ) + try: + version = metadata.version("cloudcasting_backend") + except metadata.PackageNotFoundError: + pyproject_path = Path(__file__).parent.parent.parent / "pyproject.toml" + if pyproject_path.exists(): + with open(pyproject_path, "rb") as f: + pyproject_data = tomli.load(f) + version = pyproject_data["tool"]["poetry"]["version"] + else: + version = "0.1.0" + app = FastAPI( title="cloudcasting_backend", - version=metadata.version("cloudcasting_backend"), + version=version, lifespan=lifespan_setup, docs_url="/api/docs", redoc_url="/api/redoc", diff --git a/poetry.lock b/poetry.lock index 69b58a6..d953459 100644 --- a/poetry.lock +++ b/poetry.lock @@ -2000,8 +2000,7 @@ version = "2.2.1" description = "A lil' TOML parser" optional = false python-versions = ">=3.8" -groups = ["dev"] -markers = "python_full_version <= \"3.11.0a6\"" +groups = ["main", "dev"] files = [ {file = "tomli-2.2.1-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:678e4fa69e4575eb77d103de3df8a895e1591b48e740211bd1067378c69e8249"}, {file = "tomli-2.2.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:023aa114dd824ade0100497eb2318602af309e5a55595f76b626d6d9f3b7b0a6"}, @@ -2735,4 +2734,4 @@ type = ["pytest-mypy"] [metadata] lock-version = "2.1" python-versions = ">3.9.1,<4" -content-hash = "2846445238c2ca626e01b2170125b9e3b41b860e623117ab9ef97f76409ea772" +content-hash = "ee957312dcfc1b6b4b1c392f919d59da2160fc4f2e672781768f39a071f0c9f2" diff --git a/pyproject.toml b/pyproject.toml index 53535a7..d8e0630 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -28,6 +28,7 @@ opentelemetry-instrumentation = "^0.50b0" opentelemetry-instrumentation-fastapi = "^0.50b0" loguru = "^0.7.3" boto3 = "^1.38.41" +tomli = "^2.0.1" [tool.poetry.group.dev.dependencies] From 86618d6270874efed8cf6e6df76c209d60d41dec Mon Sep 17 00:00:00 2001 From: suvanbanerjee Date: Mon, 14 Jul 2025 16:51:18 +0530 Subject: [PATCH 04/18] projections --- .../services/s3_downloader.py | 345 +++++---- cloudcasting_backend/settings.py | 3 + poetry.lock | 697 ++++++++++++++++-- pyproject.toml | 8 +- 4 files changed, 855 insertions(+), 198 deletions(-) diff --git a/cloudcasting_backend/services/s3_downloader.py b/cloudcasting_backend/services/s3_downloader.py index 77b9164..b8d2f55 100644 --- a/cloudcasting_backend/services/s3_downloader.py +++ b/cloudcasting_backend/services/s3_downloader.py @@ -1,4 +1,7 @@ -"""Module for downloading data from S3 bucket on a 30 min interval.""" +""" +Module for downloading data from an S3 bucket on a 30-minute interval, +followed by conversion of the downloaded Zarr data to GeoTIFF format. +""" import datetime import os @@ -9,21 +12,149 @@ from typing import Callable, Optional import boto3 +import numpy as np +import pyproj +import rasterio +import xarray as xr from loguru import logger as log +from rasterio.crs import CRS +from rasterio.transform import from_bounds +from scipy.interpolate import griddata from cloudcasting_backend.settings import settings +# --- Configuration for GeoTIFF Conversion --- +GEOTIFF_STORAGE_PATH = "layers" # Base directory for all GeoTIFF output +# Bounding box for cropping the GeoTIFF output [lon_min, lat_min, lon_max, lat_max] +GEOTIFF_BBOX = [-19.0, 42.0, 15.0, 65.0] +GEOTIFF_RESOLUTION = 0.075 # Output grid resolution in degrees -def ensure_directory_exists(func: Callable[..., None]) -> Callable[..., None]: - """Decorator to ensure directory exists before downloading.""" +# ============================================================================== +# == GEO-TIFF CONVERSION FUNCTIONS +# ============================================================================== + +def save_to_geotiff(filename: str, data: np.ndarray, lat_grid: np.ndarray, lon_grid: np.ndarray, nodata: float = np.nan) -> None: + """ + Save a 2D data array with lat/lon grids to a GeoTIFF file in WGS84. + + Args: + filename: Output GeoTIFF path. + data: 2D numpy array of values. + lat_grid: 2D latitudes of the interpolated grid. + lon_grid: 2D longitudes of the interpolated grid. + nodata: Value to represent no data. + """ + height, width = data.shape + lon_min, lon_max = np.min(lon_grid), np.max(lon_grid) + lat_min, lat_max = np.min(lat_grid), np.max(lat_grid) + + transform = from_bounds(lon_min, lat_min, lon_max, lat_max, width, height) + + try: + with rasterio.open( + filename, + 'w', + driver='GTiff', + height=height, + width=width, + count=1, + dtype=str(data.dtype), + crs=CRS.from_epsg(4326), # WGS84 + transform=transform, + nodata=nodata, + ) as dst: + dst.write(data, 1) + log.success(f"Successfully saved GeoTIFF to {filename}") + except Exception as e: + log.opt(exception=e).error(f"Failed to save GeoTIFF file: {filename}") + + +def convert_zarr_to_geotiffs(zarr_path: str, output_dir: str) -> None: + """ + Load a cloud dataset from Zarr, iterate through all variables and steps, + and save each slice as a cropped GeoTIFF file. + + Args: + zarr_path: Path to the root of the downloaded Zarr dataset. + output_dir: The directory where GeoTIFF files will be saved. + """ + log.info(f"Starting Zarr to GeoTIFF conversion for: {zarr_path}") + if not os.path.exists(zarr_path): + log.error(f"Zarr path does not exist: {zarr_path}. Aborting conversion.") + return + + try: + ds = xr.open_zarr(zarr_path) + except Exception as e: + log.opt(exception=e).error(f"Failed to open Zarr dataset at {zarr_path}") + return + + # --- 1. Pre-calculate projections and grids (these are constant for all layers) --- + log.info("Preparing coordinate transformation...") + x_coords = ds.x_geostationary.values + y_coords = ds.y_geostationary.values + x_mesh, y_mesh = np.meshgrid(x_coords, y_coords) + + geos_proj = pyproj.Proj(proj='geos', h=35785831, lon_0=9.6, sweep='y') + wgs84_proj = pyproj.Proj(proj='latlong', datum='WGS84') + transformer = pyproj.Transformer.from_proj(geos_proj, wgs84_proj, always_xy=True) + lon_grid, lat_grid = transformer.transform(x_mesh, y_mesh) + + mask = ~np.isnan(ds.sat_pred.isel(init_time=0, step=0, variable=0).values) & np.isfinite(lon_grid) & np.isfinite(lat_grid) + points = np.column_stack((lon_grid[mask], lat_grid[mask])) + + lon_out = np.arange(GEOTIFF_BBOX[0], GEOTIFF_BBOX[2], GEOTIFF_RESOLUTION) + lat_out = np.arange(GEOTIFF_BBOX[3], GEOTIFF_BBOX[1], -GEOTIFF_RESOLUTION) + lon_target, lat_target = np.meshgrid(lon_out, lat_out) + log.info(f"Target grid for interpolation created with shape {lon_target.shape}.") + + # --- 2. Iterate through all variables and steps --- + variables = ds['variable'].values + steps = ds['step'].values + total_files = len(variables) * len(steps) + log.info(f"Found {len(variables)} variables and {len(steps)} steps. Processing {total_files} files.") + + for var_idx, var_name in enumerate(variables): + var_output_dir = os.path.join(output_dir, str(var_name)) + Path(var_output_dir).mkdir(parents=True, exist_ok=True) + + for step_idx in range(len(steps)): + log.info(f"Processing: Variable '{var_name}' (index {var_idx}), Step {step_idx}") + + try: + # Select the data slice + data_slice = ds.sat_pred.isel(init_time=0, variable=var_idx, step=step_idx).values + values = data_slice[mask] + + # Interpolate data onto the target WGS84 grid + interp_data = griddata( + points, values, (lon_target, lat_target), method='cubic', fill_value=np.nan + ).astype(np.float32) + + # Define final output path and save the file + output_filename = os.path.join(var_output_dir, f"step_{step_idx}.tif") + save_to_geotiff(output_filename, interp_data, lat_target, lon_target) + + except Exception as e: + log.opt(exception=e).error(f"Error processing slice: var='{var_name}', step={step_idx}") + continue # Continue to the next file + + ds.close() + log.success(f"Finished GeoTIFF conversion for {zarr_path}. Processed {total_files} files.") + + +# ============================================================================== +# == S3 DATA DOWNLOADER FUNCTIONS +# ============================================================================== +def ensure_directory_exists(func: Callable[..., None]) -> Callable[..., None]: + """Decorator to ensure directory exists before running the function.""" @wraps(func) def wrapper(*args: object, **kwargs: object) -> None: local_dir = kwargs.get("local_dir") or args[2] if len(args) > 2 else None if local_dir: Path(str(local_dir)).mkdir(parents=True, exist_ok=True) return func(*args, **kwargs) - return wrapper @@ -32,18 +163,18 @@ def download_s3_folder( bucket_name: str, s3_folder: str, local_dir: Optional[str] = None, -) -> None: +) -> Optional[str]: """ Download the contents of a folder directory from S3. Args: - bucket_name: the name of the s3 bucket - s3_folder: the folder path in the s3 bucket - local_dir: a relative or absolute directory path in the local file system + bucket_name: The name of the S3 bucket. + s3_folder: The folder path in the S3 bucket. + local_dir: A relative or absolute directory path in the local file system. - If None, files will be placed in the current directory + Returns: + The local path to the downloaded folder, or None on failure. """ - # Configure S3 client s3 = boto3.resource( "s3", aws_access_key_id=settings.s3_access_key_id, @@ -51,179 +182,135 @@ def download_s3_folder( region_name=settings.s3_region_name, ) - log.info(f"Starting download from bucket {bucket_name}, folder {s3_folder}") + log.info(f"Starting download from bucket '{bucket_name}', folder '{s3_folder}'") bucket = s3.Bucket(bucket_name) downloaded_files = 0 + + # Define a specific destination directory for this download run + zarr_folder_name = os.path.basename(s3_folder.rstrip('/')) + destination_path = os.path.join(local_dir, zarr_folder_name) + Path(destination_path).mkdir(parents=True, exist_ok=True) - # If by an chance the folder utc timestamp based folder is not found, try to download latest.zarr objects = list(bucket.objects.filter(Prefix=s3_folder).limit(1)) if not objects: - log.warning( - f"No objects found in bucket {bucket_name} with prefix {s3_folder} thus trying latest.zarr", - ) + log.warning(f"No objects found with prefix '{s3_folder}'. Trying 'latest.zarr' as a fallback.") s3_folder = "cloudcasting_forecast/latest.zarr/" + # Update destination path for fallback + destination_path = os.path.join(local_dir, "latest.zarr") + Path(destination_path).mkdir(parents=True, exist_ok=True) - # Download the files for obj in bucket.objects.filter(Prefix=s3_folder): - target = ( - obj.key - if local_dir is None - else os.path.join(local_dir, os.path.relpath(obj.key, s3_folder)) - ) - - if not os.path.exists(os.path.dirname(target)): - os.makedirs(os.path.dirname(target)) - - if obj.key[-1] == "/": + target = os.path.join(destination_path, os.path.relpath(obj.key, s3_folder)) + + if obj.key.endswith("/"): + os.makedirs(target, exist_ok=True) continue - + + # Ensure parent directory of the file exists + os.makedirs(os.path.dirname(target), exist_ok=True) + bucket.download_file(obj.key, target) downloaded_files += 1 - log.info( - f"Finished downloading {downloaded_files} files from {s3_folder} to {local_dir}", - ) + if downloaded_files > 0: + log.info(f"Finished downloading {downloaded_files} files from '{s3_folder}' to '{destination_path}'") + return destination_path + else: + log.error(f"Download failed: No files were found in '{s3_folder}' to download.") + return None def get_current_forecast_folder( - bucket_name: Optional[str] = None, target_time: Optional[datetime.datetime] = None, ) -> str: """ - Get the forecast folder name for a specific timestamp. - - Args: - bucket_name: Unused parameter kept for backward compatibility - target_time: Specific datetime to use for the folder name (defaults to current time if None) - Should be one of the half-hour marks (XX:00 or XX:30) - - Returns the path to the time-specific zarr folder. + Get the S3 forecast folder name for a specific timestamp. """ if not target_time: - # Default to current UTC time target_time = datetime.datetime.now(datetime.timezone.utc) - # Round to the nearest half hour minutes = target_time.minute - if minutes < 30: - target_time = target_time.replace(minute=0, second=0, microsecond=0) - else: - target_time = target_time.replace(minute=30, second=0, microsecond=0) - - # Format the folder name as YYYY-MM-DDThh:mm.zarr/ - forecast_folder = ( - f"cloudcasting_forecast/{target_time.strftime('%Y-%m-%dT%H:%M')}.zarr/" - ) - log.info(f"Using forecast folder: {forecast_folder}") + target_time = target_time.replace(minute=(0 if minutes < 30 else 30), second=0, microsecond=0) + + forecast_folder = f"cloudcasting_forecast/{target_time.strftime('%Y-%m-%dT%H:%M')}.zarr/" + log.info(f"Determined S3 forecast folder: {forecast_folder}") return forecast_folder def scheduled_download( bucket_name: str = settings.s3_bucket_name, - local_dir: str = settings.zarr_storage_path, - interval_minutes: int = 30, # 30 min interval as the model updates every half hour + zarr_local_dir: str = settings.zarr_storage_path, + geotiff_local_dir: str = GEOTIFF_STORAGE_PATH, ) -> None: """ - Schedule the download of S3 folder at regular intervals aligned to half-hour marks. - - Note: Files are generated with a ~15 minute delay after the half-hour mark. - For example, the 18:30 file is ready around 18:45. - - Args: - bucket_name: the name of the s3 bucket - local_dir: local directory to store downloaded files - interval_minutes: interval in minutes between downloads (default is 30 for half-hour marks) + Schedule the download of an S3 folder and subsequent conversion to GeoTIFF. """ - log.info( - f"Starting scheduled downloads every {interval_minutes} minutes, aligned to half-hour marks", - ) - - # Generation delay in minutes (time to wait after a half-hour mark for files to be generated) - generation_delay = 15 + log.info(f"Starting scheduled task. Zarrs will be saved to '{zarr_local_dir}', GeoTIFFs to '{geotiff_local_dir}'.") + generation_delay = 15 # Wait 15 mins past the hour/half-hour for data to be ready while True: try: - # Get current UTC time now = datetime.datetime.now(datetime.timezone.utc) - current_time = now.strftime("%Y-%m-%d %H:%M:%S UTC") - log.info(f"Current time: {current_time}") - - # Determine which files are ready to download based on the 15-minute generation delay - minutes_past_half_hour = now.minute % 30 - - if now.minute < 30: - if minutes_past_half_hour < generation_delay: - target_time = now.replace( - minute=30, - second=0, - microsecond=0, - ) - datetime.timedelta(hours=1) - else: - target_time = now.replace(minute=0, second=0, microsecond=0) - elif minutes_past_half_hour < generation_delay: + + # Determine the most recent, ready-to-download forecast time + if now.minute >= 30 + generation_delay: + target_time = now.replace(minute=30, second=0, microsecond=0) + elif now.minute >= generation_delay: target_time = now.replace(minute=0, second=0, microsecond=0) + else: # Not yet 15 mins past the hour, get previous half-hour slot + target_time = now.replace(second=0, microsecond=0) - datetime.timedelta(minutes=now.minute % 30 + 30) + + log.info(f"Targeting forecast for time: {target_time.strftime('%Y-%m-%d %H:%M:%S UTC')}") + + # --- 1. Download the data --- + s3_folder = get_current_forecast_folder(target_time=target_time) + downloaded_zarr_path = download_s3_folder(bucket_name, s3_folder, zarr_local_dir) + + # --- 2. Convert to GeoTIFF --- + if downloaded_zarr_path: + geotiff_run_dir = os.path.join(geotiff_local_dir, os.path.basename(downloaded_zarr_path)) + convert_zarr_to_geotiffs(downloaded_zarr_path, geotiff_run_dir) else: - target_time = now.replace(minute=30, second=0, microsecond=0) - - log.info( - f"Based on current time {current_time} with {generation_delay}min generation delay, downloading files for: {target_time.strftime('%Y-%m-%d %H:%M:%S UTC')}", - ) + log.warning("Skipping GeoTIFF conversion because download failed or returned no files.") - s3_folder = get_current_forecast_folder(target_time=target_time) - current_half_hour = target_time.strftime("%Y-%m-%d %H:%M:%S UTC") - log.info(f"Downloading data for half-hour mark: {current_half_hour}") - download_s3_folder(bucket_name, s3_folder, local_dir) - log.info( - f"Download completed at {datetime.datetime.now(datetime.timezone.utc).strftime('%Y-%m-%d %H:%M:%S UTC')}", - ) - - # Calculate time until the next half-hour mark plus generation delay + # --- 3. Calculate sleep time until next run --- now = datetime.datetime.now(datetime.timezone.utc) if now.minute < 30: - next_target = now.replace(minute=30, second=0, microsecond=0) + next_run_base = now.replace(minute=30, second=0, microsecond=0) else: - next_target = now.replace( - minute=0, - second=0, - microsecond=0, - ) + datetime.timedelta(hours=1) - next_target_with_delay = next_target + datetime.timedelta( - minutes=generation_delay, - ) - - # Calculate sleep time until next download (factoring in generation delay) - sleep_seconds = (next_target_with_delay - now).total_seconds() - - # Ensure we don't have a negative sleep time due to execution delays + next_run_base = (now + datetime.timedelta(hours=1)).replace(minute=0, second=0, microsecond=0) + + next_run_with_delay = next_run_base + datetime.timedelta(minutes=generation_delay) + sleep_seconds = (next_run_with_delay - now).total_seconds() + if sleep_seconds <= 0: - sleep_seconds = 120 # Default to 2 minute if calculation went wrong + sleep_seconds = 60 # Default to 1 minute if calculation is off - log.info( - f"Next download scheduled for: {next_target_with_delay.strftime('%Y-%m-%d %H:%M:%S UTC')}", - ) - log.info(f"Sleeping for {sleep_seconds/60:.2f} minutes until next download") + log.info(f"Next download check scheduled for: {next_run_with_delay.strftime('%Y-%m-%d %H:%M:%S UTC')}") + log.info(f"Sleeping for {sleep_seconds/60:.2f} minutes.") time.sleep(sleep_seconds) except Exception as e: - log.opt(exception=e).error("Error during scheduled download") - log.info("Retrying in 5 minutes") + log.opt(exception=e).critical("An unhandled error occurred in the scheduling loop.") + log.info("Retrying in 5 minutes...") time.sleep(300) def start_download_thread() -> None: - """Start the download process in a separate thread.""" + """Start the download and conversion process in a separate thread.""" download_thread = threading.Thread( target=scheduled_download, daemon=True, ) - log.info("Starting S3 downloader thread") + log.info("Starting S3 downloader and GeoTIFF converter thread.") download_thread.start() if __name__ == "__main__": - # just in case we want to run this script to test this file directly - bucket_name = settings.s3_bucket_name - local_dir = settings.zarr_storage_path - log.info( - "Starting S3 downloader with time-specific folder names (format: YYYY-MM-DDThh:mm.zarr/)", - ) - scheduled_download(bucket_name, local_dir) + # This block allows running the script directly for testing. + # Ensure you have a 'cloudcasting_backend/settings.py' file or mock the settings object. + log.info("Running S3 downloader and converter script directly...") + scheduled_download( + bucket_name=settings.s3_bucket_name, + zarr_local_dir=settings.zarr_storage_path, + geotiff_local_dir=GEOTIFF_STORAGE_PATH, + ) \ No newline at end of file diff --git a/cloudcasting_backend/settings.py b/cloudcasting_backend/settings.py index 4e62041..83976b3 100644 --- a/cloudcasting_backend/settings.py +++ b/cloudcasting_backend/settings.py @@ -56,6 +56,9 @@ class Settings(BaseSettings): # Path to store downloaded zarr files zarr_storage_path: str = "cloudcasting_backend/static/zarr_files" + + # Path to store converted GeoTIFF layers + geotiff_storage_path: str = "cloudcasting_backend/static/layers" model_config = SettingsConfigDict( env_file=".env", diff --git a/poetry.lock b/poetry.lock index d953459..b3a5237 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1,5 +1,21 @@ # This file is automatically @generated by Poetry 2.1.3 and should not be changed by hand. +[[package]] +name = "affine" +version = "2.4.0" +description = "Matrices describing affine transformation of the plane" +optional = false +python-versions = ">=3.7" +groups = ["main"] +files = [ + {file = "affine-2.4.0-py3-none-any.whl", hash = "sha256:8a3df80e2b2378aef598a83c1392efd47967afec4242021a0b06b4c7cbc61a92"}, + {file = "affine-2.4.0.tar.gz", hash = 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"ee957312dcfc1b6b4b1c392f919d59da2160fc4f2e672781768f39a071f0c9f2" +python-versions = ">=3.11,<4" +content-hash = "a3146e3fedf026c652de7d86f47fe6216bcf430e89256bc7ef4f78bba784a631" diff --git a/pyproject.toml b/pyproject.toml index d8e0630..e6f182d 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -11,7 +11,7 @@ maintainers = [ readme = "README.md" [tool.poetry.dependencies] -python = ">3.9.1,<4" +python = ">=3.11,<4" fastapi = "^0.115.6" uvicorn = { version = "^0.34.0", extras = ["standard"] } pydantic = "^2.10.4" @@ -29,6 +29,12 @@ opentelemetry-instrumentation-fastapi = "^0.50b0" loguru = "^0.7.3" boto3 = "^1.38.41" tomli = "^2.0.1" +numpy = "^2.3.1" +xarray = "^2025.7.1" +rasterio = "^1.4.3" +scipy = "^1.16.0" +pyproj = "^3.7.1" +zarr = "^3.0.10" [tool.poetry.group.dev.dependencies] From 24b5f15e6ece450ea24e6a180d37c3dbce43ca93 Mon Sep 17 00:00:00 2001 From: suvanbanerjee Date: Fri, 18 Jul 2025 21:03:24 +0530 Subject: [PATCH 05/18] mult-sat support --- .../services/s3_downloader.py | 127 ++++++++++++++++-- 1 file changed, 116 insertions(+), 11 deletions(-) diff --git a/cloudcasting_backend/services/s3_downloader.py b/cloudcasting_backend/services/s3_downloader.py index b8d2f55..93912b9 100644 --- a/cloudcasting_backend/services/s3_downloader.py +++ b/cloudcasting_backend/services/s3_downloader.py @@ -5,11 +5,12 @@ import datetime import os +import re import threading import time from functools import wraps from pathlib import Path -from typing import Callable, Optional +from typing import Callable, Optional, Dict, Any import boto3 import numpy as np @@ -45,9 +46,11 @@ def save_to_geotiff(filename: str, data: np.ndarray, lat_grid: np.ndarray, lon_g nodata: Value to represent no data. """ height, width = data.shape + # Get bounds from the target grid, which is already cropped lon_min, lon_max = np.min(lon_grid), np.max(lon_grid) lat_min, lat_max = np.min(lat_grid), np.max(lat_grid) + # from_bounds expects: west, south, east, north transform = from_bounds(lon_min, lat_min, lon_max, lat_max, width, height) try: @@ -69,10 +72,91 @@ def save_to_geotiff(filename: str, data: np.ndarray, lat_grid: np.ndarray, lon_g log.opt(exception=e).error(f"Failed to save GeoTIFF file: {filename}") +def parse_orbital_parameters(orbital_params_str: str) -> Dict[str, Any]: + """ + Parse the orbital parameters string from Zarr attributes. + + Args: + orbital_params_str: The multi-line string from metadata. + + Returns: + A dictionary of parameter values. + """ + params = {} + for line in orbital_params_str.strip().split('\n'): + if ':' in line: + key, value = line.split(':', 1) + try: + params[key.strip()] = float(value.strip()) + except ValueError: + params[key.strip()] = value.strip() + return params + + +def extract_satellite_info(ds: xr.Dataset) -> Dict[str, float]: + """ + Extract satellite position information from the Zarr dataset attributes. + This function checks for Meteosat-10/11 specifically and has fallbacks. + + Args: + ds: The opened xarray Dataset. + + Returns: + Dictionary with satellite parameters {'longitude': float, 'height': float}. + """ + # Default values set to Meteosat-11 parameters + satellite_info = {'longitude': 9.6, 'height': 35785831.0} + platform_name = "Unknown" + + # Calibration values for Meteosat-10 and Meteosat-11 + METEOSAT_10_LONGITUDE = 0.0 + METEOSAT_11_LONGITUDE = 9.5 + SATELLITE_HEIGHT = 35785831.0 + + if hasattr(ds, 'sat_pred') and hasattr(ds.sat_pred, 'attrs'): + attrs = ds.sat_pred.attrs + if 'platform_name' in attrs: + platform_name = attrs['platform_name'] + log.info(f"📡 Detected satellite platform: {platform_name}") + + if "Meteosat-10" in platform_name: + satellite_info['longitude'] = METEOSAT_10_LONGITUDE + satellite_info['height'] = SATELLITE_HEIGHT + log.info("Using hard-coded parameters for Meteosat-10.") + elif "Meteosat-11" in platform_name: + satellite_info['longitude'] = METEOSAT_11_LONGITUDE + satellite_info['height'] = SATELLITE_HEIGHT + log.info("Using hard-coded parameters for Meteosat-11.") + else: + log.warning(f"Platform '{platform_name}' not specifically handled. Attempting fallback attribute search.") + # Fallback for other satellites by parsing attributes + if 'orbital_parameters' in attrs: + orbital_params = parse_orbital_parameters(attrs['orbital_parameters']) + if 'satellite_actual_longitude' in orbital_params: + satellite_info['longitude'] = orbital_params['satellite_actual_longitude'] + if 'satellite_actual_altitude' in orbital_params: + satellite_info['height'] = orbital_params['satellite_actual_altitude'] + elif 'area' in attrs: + area_str = attrs['area'] + lon_match = re.search(r'lon_0:\s*([\d.-]+)', area_str) + if lon_match: + satellite_info['longitude'] = float(lon_match.group(1)) + h_match = re.search(r'h:\s*([\d.-]+)', area_str) + if h_match: + satellite_info['height'] = float(h_match.group(1)) + + log.info(f"Using projection parameters for {platform_name}: " + f"Longitude={satellite_info['longitude']}°, Height={satellite_info['height']}m") + return satellite_info + + def convert_zarr_to_geotiffs(zarr_path: str, output_dir: str) -> None: """ Load a cloud dataset from Zarr, iterate through all variables and steps, - and save each slice as a cropped GeoTIFF file. + and save each slice as a cropped and reprojected GeoTIFF file. + + This function dynamically determines the satellite projection based on Zarr + metadata, supporting platforms like Meteosat-10 and Meteosat-11. Args: zarr_path: Path to the root of the downloaded Zarr dataset. @@ -89,20 +173,29 @@ def convert_zarr_to_geotiffs(zarr_path: str, output_dir: str) -> None: log.opt(exception=e).error(f"Failed to open Zarr dataset at {zarr_path}") return - # --- 1. Pre-calculate projections and grids (these are constant for all layers) --- - log.info("Preparing coordinate transformation...") + # --- 1. Extract Satellite Info & Pre-calculate transformations --- + satellite_info = extract_satellite_info(ds) + x_coords = ds.x_geostationary.values y_coords = ds.y_geostationary.values x_mesh, y_mesh = np.meshgrid(x_coords, y_coords) - geos_proj = pyproj.Proj(proj='geos', h=35785831, lon_0=9.6, sweep='y') + geos_proj = pyproj.Proj( + proj='geos', + h=satellite_info['height'], + lon_0=satellite_info['longitude'], + sweep='y' + ) wgs84_proj = pyproj.Proj(proj='latlong', datum='WGS84') transformer = pyproj.Transformer.from_proj(geos_proj, wgs84_proj, always_xy=True) + + # Perform the expensive coordinate transformation once lon_grid, lat_grid = transformer.transform(x_mesh, y_mesh) - mask = ~np.isnan(ds.sat_pred.isel(init_time=0, step=0, variable=0).values) & np.isfinite(lon_grid) & np.isfinite(lat_grid) - points = np.column_stack((lon_grid[mask], lat_grid[mask])) + # Create a base mask for valid coordinate values (non-infinite) + valid_coord_mask = np.isfinite(lon_grid) & np.isfinite(lat_grid) + # Define the target grid for interpolation using the specified bounding box lon_out = np.arange(GEOTIFF_BBOX[0], GEOTIFF_BBOX[2], GEOTIFF_RESOLUTION) lat_out = np.arange(GEOTIFF_BBOX[3], GEOTIFF_BBOX[1], -GEOTIFF_RESOLUTION) lon_target, lat_target = np.meshgrid(lon_out, lat_out) @@ -119,12 +212,24 @@ def convert_zarr_to_geotiffs(zarr_path: str, output_dir: str) -> None: Path(var_output_dir).mkdir(parents=True, exist_ok=True) for step_idx in range(len(steps)): - log.info(f"Processing: Variable '{var_name}' (index {var_idx}), Step {step_idx}") + log.info(f"Processing: Variable '{var_name}', Step {step_idx}") try: - # Select the data slice + # Select the specific data slice data_slice = ds.sat_pred.isel(init_time=0, variable=var_idx, step=step_idx).values - values = data_slice[mask] + + # **Crucial Fix**: Create a mask for valid data points *for this specific slice* + valid_data_mask = ~np.isnan(data_slice) + final_mask = valid_coord_mask & valid_data_mask + + # Get the source points and values for interpolation from the masked arrays + points = np.column_stack((lon_grid[final_mask], lat_grid[final_mask])) + values = data_slice[final_mask] + + # Cubic interpolation requires at least 4 points + if points.shape[0] < 4: + log.warning(f"Not enough valid data points ({points.shape[0]}) for interpolation. Skipping slice: var='{var_name}', step={step_idx}") + continue # Interpolate data onto the target WGS84 grid interp_data = griddata( @@ -137,7 +242,7 @@ def convert_zarr_to_geotiffs(zarr_path: str, output_dir: str) -> None: except Exception as e: log.opt(exception=e).error(f"Error processing slice: var='{var_name}', step={step_idx}") - continue # Continue to the next file + continue # Continue to the next file ds.close() log.success(f"Finished GeoTIFF conversion for {zarr_path}. Processed {total_files} files.") From a810ad202e7ceae7389305cf23b530b9ae9f39bd Mon Sep 17 00:00:00 2001 From: suvanbanerjee Date: Mon, 21 Jul 2025 12:14:16 +0530 Subject: [PATCH 06/18] enable as cron --- cloudcasting_backend/web/api/cloudcasting/views.py | 14 ++++++++++++-- cloudcasting_backend/web/api/router.py | 2 +- cloudcasting_backend/web/lifespan.py | 5 +++-- docker-compose.yml | 2 ++ 4 files changed, 18 insertions(+), 5 deletions(-) diff --git a/cloudcasting_backend/web/api/cloudcasting/views.py b/cloudcasting_backend/web/api/cloudcasting/views.py index 11fee2f..1178d04 100644 --- a/cloudcasting_backend/web/api/cloudcasting/views.py +++ b/cloudcasting_backend/web/api/cloudcasting/views.py @@ -1,5 +1,6 @@ """API endpoints for cloudcasting data.""" +import os from pathlib import Path from fastapi import APIRouter, HTTPException, status @@ -8,6 +9,8 @@ from cloudcasting_backend.services.s3_downloader import ( download_s3_folder, get_current_forecast_folder, + convert_zarr_to_geotiffs, + GEOTIFF_STORAGE_PATH, ) from cloudcasting_backend.settings import settings @@ -53,6 +56,7 @@ async def get_cloudcasting_status() -> CloudcastingResponse: async def trigger_download() -> CloudcastingResponse: """ Manually trigger a download of the latest cloudcasting data. + Downloads the data and converts it to GeoTIFF format, then completes. """ try: bucket_name = settings.s3_bucket_name @@ -63,8 +67,14 @@ async def trigger_download() -> CloudcastingResponse: Path(local_dir).mkdir(parents=True, exist_ok=True) # Download the data - download_s3_folder(bucket_name, s3_folder, local_dir) + downloaded_zarr_path = download_s3_folder(bucket_name, s3_folder, local_dir) + # Convert to GeoTIFF if download was successful + if downloaded_zarr_path: + geotiff_run_dir = Path(GEOTIFF_STORAGE_PATH) / Path(downloaded_zarr_path).name + convert_zarr_to_geotiffs(downloaded_zarr_path, str(geotiff_run_dir)) + + # Check if data is available and return path latest_path = Path(local_dir) / "cloudcasting_forecast" / "latest.zarr" if latest_path.exists(): relative_path = latest_path.relative_to( @@ -75,7 +85,7 @@ async def trigger_download() -> CloudcastingResponse: data_path = "" return CloudcastingResponse( - message="Download triggered successfully", + message="Download and conversion completed successfully", data_path=data_path, ) except Exception as e: diff --git a/cloudcasting_backend/web/api/router.py b/cloudcasting_backend/web/api/router.py index 2d46050..dd683da 100644 --- a/cloudcasting_backend/web/api/router.py +++ b/cloudcasting_backend/web/api/router.py @@ -5,4 +5,4 @@ api_router = APIRouter() api_router.include_router(monitoring.router) api_router.include_router(echo.router, prefix="/echo", tags=["echo"]) -api_router.include_router(cloudcasting.router, prefix="/api", tags=["cloudcasting"]) +api_router.include_router(cloudcasting.router, tags=["cloudcasting"]) diff --git a/cloudcasting_backend/web/lifespan.py b/cloudcasting_backend/web/lifespan.py index 6c633dd..061b363 100644 --- a/cloudcasting_backend/web/lifespan.py +++ b/cloudcasting_backend/web/lifespan.py @@ -94,8 +94,9 @@ async def lifespan_setup( app.middleware_stack = app.build_middleware_stack() # Start the scheduled S3 download thread - if settings.environment != "pytest": # Don't start in test environment - start_download_thread() + # Disabled: Auto-running thread removed, use /trigger-download endpoint instead + # if settings.environment != "pytest": # Don't start in test environment + # start_download_thread() yield stop_opentelemetry(app) diff --git a/docker-compose.yml b/docker-compose.yml index b7b5440..3fdc318 100644 --- a/docker-compose.yml +++ b/docker-compose.yml @@ -5,6 +5,8 @@ services: dockerfile: ./Dockerfile image: cloudcasting_backend:${CLOUDCASTING_BACKEND_VERSION:-latest} restart: always + ports: + - "8000:8000" env_file: - .env environment: From eaa539ee3fe2fccc2f7061f8b6a67ad59edc1f61 Mon Sep 17 00:00:00 2001 From: suvanbanerjee Date: Sat, 26 Jul 2025 21:03:37 +0530 Subject: [PATCH 07/18] layers api --- .../services/s3_downloader.py | 4 +- .../web/api/cloudcasting/views.py | 74 ++++++++++++++++++- cloudcasting_backend/web/application.py | 10 +++ 3 files changed, 84 insertions(+), 4 deletions(-) diff --git a/cloudcasting_backend/services/s3_downloader.py b/cloudcasting_backend/services/s3_downloader.py index 93912b9..0e2e6b3 100644 --- a/cloudcasting_backend/services/s3_downloader.py +++ b/cloudcasting_backend/services/s3_downloader.py @@ -25,7 +25,7 @@ from cloudcasting_backend.settings import settings # --- Configuration for GeoTIFF Conversion --- -GEOTIFF_STORAGE_PATH = "layers" # Base directory for all GeoTIFF output +GEOTIFF_STORAGE_PATH = "cloudcasting_backend/static/layers" # Base directory for all GeoTIFF output # Bounding box for cropping the GeoTIFF output [lon_min, lat_min, lon_max, lat_max] GEOTIFF_BBOX = [-19.0, 42.0, 15.0, 65.0] GEOTIFF_RESOLUTION = 0.075 # Output grid resolution in degrees @@ -237,7 +237,7 @@ def convert_zarr_to_geotiffs(zarr_path: str, output_dir: str) -> None: ).astype(np.float32) # Define final output path and save the file - output_filename = os.path.join(var_output_dir, f"step_{step_idx}.tif") + output_filename = os.path.join(var_output_dir, f"{step_idx}.tif") save_to_geotiff(output_filename, interp_data, lat_target, lon_target) except Exception as e: diff --git a/cloudcasting_backend/web/api/cloudcasting/views.py b/cloudcasting_backend/web/api/cloudcasting/views.py index 1178d04..ac0255f 100644 --- a/cloudcasting_backend/web/api/cloudcasting/views.py +++ b/cloudcasting_backend/web/api/cloudcasting/views.py @@ -2,8 +2,10 @@ import os from pathlib import Path +from typing import List from fastapi import APIRouter, HTTPException, status +from fastapi.responses import FileResponse from pydantic import BaseModel from cloudcasting_backend.services.s3_downloader import ( @@ -24,6 +26,13 @@ class CloudcastingResponse(BaseModel): data_path: str +class AvailableLayersResponse(BaseModel): + """Response model for available layers.""" + + channels: List[str] + steps: List[int] + + @router.get("/status", response_model=CloudcastingResponse) async def get_cloudcasting_status() -> CloudcastingResponse: """ @@ -71,8 +80,7 @@ async def trigger_download() -> CloudcastingResponse: # Convert to GeoTIFF if download was successful if downloaded_zarr_path: - geotiff_run_dir = Path(GEOTIFF_STORAGE_PATH) / Path(downloaded_zarr_path).name - convert_zarr_to_geotiffs(downloaded_zarr_path, str(geotiff_run_dir)) + convert_zarr_to_geotiffs(downloaded_zarr_path, GEOTIFF_STORAGE_PATH) # Check if data is available and return path latest_path = Path(local_dir) / "cloudcasting_forecast" / "latest.zarr" @@ -93,3 +101,65 @@ async def trigger_download() -> CloudcastingResponse: status_code=status.HTTP_500_INTERNAL_SERVER_ERROR, detail=f"Failed to download data: {e!s}", ) + + +@router.get("/layers", response_model=AvailableLayersResponse) +async def get_available_layers() -> AvailableLayersResponse: + """ + Get list of available channels and steps for TIF layers. + + Returns the available variable names (channels) and step indices. + """ + layers_path = Path(settings.geotiff_storage_path) + + if not layers_path.exists(): + return AvailableLayersResponse(channels=[], steps=[]) + + channels = [] + all_steps = set() + + # Scan for available channels (variable directories) + for channel_dir in layers_path.iterdir(): + if channel_dir.is_dir(): + channels.append(channel_dir.name) + + # Scan for available steps in this channel + for tif_file in channel_dir.glob("*.tif"): + # Extract step number from filename (e.g., "step_0.tif" -> 0) + if tif_file.stem.isdigit(): + all_steps.add(int(tif_file.stem)) + + return AvailableLayersResponse( + channels=sorted(channels), + steps=sorted(list(all_steps)) + ) + + +@router.get("/layers/{channel}/{step}.tif") +async def get_tif_layer(channel: str, step: int): + """ + Serve a specific TIF file for the given channel and step. + + Args: + channel: The variable name (channel) + step: The step number + + Returns: + FileResponse: The TIF file for display in Mapbox + """ + # Construct the file path + tif_path = Path(settings.geotiff_storage_path) / channel / f"{step}.tif" + + # Check if file exists + if not tif_path.exists(): + raise HTTPException( + status_code=status.HTTP_404_NOT_FOUND, + detail=f"TIF file not found for channel '{channel}' and step '{step}'" + ) + + # Return the file + return FileResponse( + path=str(tif_path), + media_type="image/tiff", + filename=f"{channel}_step_{step}.tif" + ) diff --git a/cloudcasting_backend/web/application.py b/cloudcasting_backend/web/application.py index 9c10e60..de11e5f 100644 --- a/cloudcasting_backend/web/application.py +++ b/cloudcasting_backend/web/application.py @@ -6,6 +6,7 @@ import sentry_sdk from fastapi import FastAPI +from fastapi.middleware.cors import CORSMiddleware from fastapi.responses import UJSONResponse from fastapi.staticfiles import StaticFiles from sentry_sdk.integrations.fastapi import FastApiIntegration @@ -63,6 +64,15 @@ def get_app() -> FastAPI: default_response_class=UJSONResponse, ) + # Add CORS middleware + app.add_middleware( + CORSMiddleware, + allow_origins=["*"], # Allows all origins + allow_credentials=True, + allow_methods=["*"], # Allows all methods + allow_headers=["*"], # Allows all headers + ) + # Main router for the API. app.include_router(router=api_router, prefix="/api") From f4adf49f0a1f88fb5b8e1e43a8a83e6c8ad76792 Mon Sep 17 00:00:00 2001 From: suvanbanerjee Date: Tue, 5 Aug 2025 23:59:05 +0530 Subject: [PATCH 08/18] multi job with better matching --- .env.example | 0 TODO | 2 + cloudcasting_backend/services/__init__.py | 12 +- .../services/s3_downloader.py | 377 ++++++++++-------- cloudcasting_backend/settings.py | 1 + .../web/api/cloudcasting/views.py | 84 ++-- cloudcasting_backend/web/lifespan.py | 7 +- tests/test_auth.py | 0 8 files changed, 282 insertions(+), 201 deletions(-) create mode 100644 .env.example create mode 100644 TODO create mode 100644 tests/test_auth.py diff --git a/.env.example b/.env.example new file mode 100644 index 0000000..e69de29 diff --git a/TODO b/TODO new file mode 100644 index 0000000..4b453e7 --- /dev/null +++ b/TODO @@ -0,0 +1,2 @@ +- make the layers rout without the pred name +- auto0 ofc \ No newline at end of file diff --git a/cloudcasting_backend/services/__init__.py b/cloudcasting_backend/services/__init__.py index c8f3a28..36c3985 100644 --- a/cloudcasting_backend/services/__init__.py +++ b/cloudcasting_backend/services/__init__.py @@ -1,5 +1,13 @@ """Services for cloudcasting_backend.""" -from cloudcasting_backend.services.s3_downloader import start_download_thread +from cloudcasting_backend.services.s3_downloader import ( + run_update_job, + get_download_status, + get_current_forecast_folder, +) -__all__ = ["start_download_thread"] +__all__ = [ + "run_update_job", + "get_download_status", + "get_current_forecast_folder", +] diff --git a/cloudcasting_backend/services/s3_downloader.py b/cloudcasting_backend/services/s3_downloader.py index 0e2e6b3..a2097b8 100644 --- a/cloudcasting_backend/services/s3_downloader.py +++ b/cloudcasting_backend/services/s3_downloader.py @@ -1,13 +1,14 @@ """ -Module for downloading data from an S3 bucket on a 30-minute interval, -followed by conversion of the downloaded Zarr data to GeoTIFF format. +Module for on-demand downloading and processing of S3 Zarr data, +triggered by an external scheduler (e.g., cron). """ import datetime import os import re -import threading -import time +import shutil +import tempfile +import multiprocessing from functools import wraps from pathlib import Path from typing import Callable, Optional, Dict, Any @@ -17,6 +18,7 @@ import pyproj import rasterio import xarray as xr +from botocore.exceptions import ClientError from loguru import logger as log from rasterio.crs import CRS from rasterio.transform import from_bounds @@ -29,9 +31,16 @@ # Bounding box for cropping the GeoTIFF output [lon_min, lat_min, lon_max, lat_max] GEOTIFF_BBOX = [-19.0, 42.0, 15.0, 65.0] GEOTIFF_RESOLUTION = 0.075 # Output grid resolution in degrees +S3_ZARR_PREFIX = "cloudcasting_forecast/latest.zarr/" # The S3 prefix for the latest forecast + +# --- State Management for Cron Job --- +_process_lock = multiprocessing.Lock() +_current_process: Optional[multiprocessing.Process] = None +_TIMESTAMP_FILE = Path(GEOTIFF_STORAGE_PATH) / "_last_processed_timestamp.txt" + # ============================================================================== -# == GEO-TIFF CONVERSION FUNCTIONS +# == GEO-TIFF CONVERSION FUNCTIONS (Unchanged) # ============================================================================== def save_to_geotiff(filename: str, data: np.ndarray, lat_grid: np.ndarray, lon_grid: np.ndarray, nodata: float = np.nan) -> None: @@ -160,7 +169,7 @@ def convert_zarr_to_geotiffs(zarr_path: str, output_dir: str) -> None: Args: zarr_path: Path to the root of the downloaded Zarr dataset. - output_dir: The directory where GeoTIFF files will be saved. + output_dir: The base directory where variable-specific GeoTIFF folders will be created. """ log.info(f"Starting Zarr to GeoTIFF conversion for: {zarr_path}") if not os.path.exists(zarr_path): @@ -175,27 +184,15 @@ def convert_zarr_to_geotiffs(zarr_path: str, output_dir: str) -> None: # --- 1. Extract Satellite Info & Pre-calculate transformations --- satellite_info = extract_satellite_info(ds) - - x_coords = ds.x_geostationary.values - y_coords = ds.y_geostationary.values + x_coords, y_coords = ds.x_geostationary.values, ds.y_geostationary.values x_mesh, y_mesh = np.meshgrid(x_coords, y_coords) - geos_proj = pyproj.Proj( - proj='geos', - h=satellite_info['height'], - lon_0=satellite_info['longitude'], - sweep='y' - ) + geos_proj = pyproj.Proj(proj='geos', h=satellite_info['height'], lon_0=satellite_info['longitude'], sweep='y') wgs84_proj = pyproj.Proj(proj='latlong', datum='WGS84') transformer = pyproj.Transformer.from_proj(geos_proj, wgs84_proj, always_xy=True) - - # Perform the expensive coordinate transformation once lon_grid, lat_grid = transformer.transform(x_mesh, y_mesh) - - # Create a base mask for valid coordinate values (non-infinite) valid_coord_mask = np.isfinite(lon_grid) & np.isfinite(lat_grid) - # Define the target grid for interpolation using the specified bounding box lon_out = np.arange(GEOTIFF_BBOX[0], GEOTIFF_BBOX[2], GEOTIFF_RESOLUTION) lat_out = np.arange(GEOTIFF_BBOX[3], GEOTIFF_BBOX[1], -GEOTIFF_RESOLUTION) lon_target, lat_target = np.meshgrid(lon_out, lat_out) @@ -208,41 +205,34 @@ def convert_zarr_to_geotiffs(zarr_path: str, output_dir: str) -> None: log.info(f"Found {len(variables)} variables and {len(steps)} steps. Processing {total_files} files.") for var_idx, var_name in enumerate(variables): + # Save layers to /layers/VAR_NAME/0.tif, /layers/VAR_NAME/1.tif etc. var_output_dir = os.path.join(output_dir, str(var_name)) Path(var_output_dir).mkdir(parents=True, exist_ok=True) for step_idx in range(len(steps)): log.info(f"Processing: Variable '{var_name}', Step {step_idx}") - try: - # Select the specific data slice data_slice = ds.sat_pred.isel(init_time=0, variable=var_idx, step=step_idx).values - - # **Crucial Fix**: Create a mask for valid data points *for this specific slice* valid_data_mask = ~np.isnan(data_slice) final_mask = valid_coord_mask & valid_data_mask - # Get the source points and values for interpolation from the masked arrays points = np.column_stack((lon_grid[final_mask], lat_grid[final_mask])) values = data_slice[final_mask] - # Cubic interpolation requires at least 4 points if points.shape[0] < 4: - log.warning(f"Not enough valid data points ({points.shape[0]}) for interpolation. Skipping slice: var='{var_name}', step={step_idx}") + log.warning(f"Not enough valid data points ({points.shape[0]}) for interpolation. Skipping.") continue - # Interpolate data onto the target WGS84 grid interp_data = griddata( points, values, (lon_target, lat_target), method='cubic', fill_value=np.nan ).astype(np.float32) - # Define final output path and save the file output_filename = os.path.join(var_output_dir, f"{step_idx}.tif") save_to_geotiff(output_filename, interp_data, lat_target, lon_target) except Exception as e: log.opt(exception=e).error(f"Error processing slice: var='{var_name}', step={step_idx}") - continue # Continue to the next file + continue ds.close() log.success(f"Finished GeoTIFF conversion for {zarr_path}. Processed {total_files} files.") @@ -252,30 +242,18 @@ def convert_zarr_to_geotiffs(zarr_path: str, output_dir: str) -> None: # == S3 DATA DOWNLOADER FUNCTIONS # ============================================================================== -def ensure_directory_exists(func: Callable[..., None]) -> Callable[..., None]: - """Decorator to ensure directory exists before running the function.""" - @wraps(func) - def wrapper(*args: object, **kwargs: object) -> None: - local_dir = kwargs.get("local_dir") or args[2] if len(args) > 2 else None - if local_dir: - Path(str(local_dir)).mkdir(parents=True, exist_ok=True) - return func(*args, **kwargs) - return wrapper - - -@ensure_directory_exists def download_s3_folder( bucket_name: str, s3_folder: str, - local_dir: Optional[str] = None, + local_dir: str, ) -> Optional[str]: """ Download the contents of a folder directory from S3. Args: bucket_name: The name of the S3 bucket. - s3_folder: The folder path in the S3 bucket. - local_dir: A relative or absolute directory path in the local file system. + s3_folder: The prefix (folder) to download from S3. + local_dir: A local directory path to download to. Returns: The local path to the downloaded folder, or None on failure. @@ -286,136 +264,217 @@ def download_s3_folder( aws_secret_access_key=settings.s3_secret_access_key, region_name=settings.s3_region_name, ) - - log.info(f"Starting download from bucket '{bucket_name}', folder '{s3_folder}'") bucket = s3.Bucket(bucket_name) - downloaded_files = 0 - - # Define a specific destination directory for this download run - zarr_folder_name = os.path.basename(s3_folder.rstrip('/')) - destination_path = os.path.join(local_dir, zarr_folder_name) - Path(destination_path).mkdir(parents=True, exist_ok=True) - objects = list(bucket.objects.filter(Prefix=s3_folder).limit(1)) if not objects: - log.warning(f"No objects found with prefix '{s3_folder}'. Trying 'latest.zarr' as a fallback.") - s3_folder = "cloudcasting_forecast/latest.zarr/" - # Update destination path for fallback - destination_path = os.path.join(local_dir, "latest.zarr") - Path(destination_path).mkdir(parents=True, exist_ok=True) + log.error(f"S3 prefix '{s3_folder}' does not exist or is empty in bucket '{bucket_name}'.") + return None + log.info(f"Starting download from s3://{bucket_name}/{s3_folder} to '{local_dir}'") + downloaded_files = 0 for obj in bucket.objects.filter(Prefix=s3_folder): - target = os.path.join(destination_path, os.path.relpath(obj.key, s3_folder)) - - if obj.key.endswith("/"): - os.makedirs(target, exist_ok=True) - continue - - # Ensure parent directory of the file exists - os.makedirs(os.path.dirname(target), exist_ok=True) - - bucket.download_file(obj.key, target) - downloaded_files += 1 + target = os.path.join(local_dir, os.path.relpath(obj.key, s3_folder)) + if not obj.key.endswith("/"): + os.makedirs(os.path.dirname(target), exist_ok=True) + bucket.download_file(obj.key, target) + downloaded_files += 1 if downloaded_files > 0: - log.info(f"Finished downloading {downloaded_files} files from '{s3_folder}' to '{destination_path}'") - return destination_path + log.success(f"Finished downloading {downloaded_files} files to '{local_dir}'") + return local_dir else: - log.error(f"Download failed: No files were found in '{s3_folder}' to download.") + log.error(f"Download failed: No files were found under prefix '{s3_folder}'.") + return None + +# ================================================================================ +# == CRON-TRIGGERED JOB LOGIC +# ================================================================================ + +def get_s3_timestamp(bucket_name: str, s3_prefix: str) -> Optional[datetime.datetime]: + """Get the LastModified timestamp of the .zattrs file in the S3 prefix.""" + try: + s3_client = boto3.client( + "s3", + aws_access_key_id=settings.s3_access_key_id, + aws_secret_access_key=settings.s3_secret_access_key, + region_name=settings.s3_region_name, + ) + # A key that should always exist and represent the dataset's age + key_to_check = f"{s3_prefix.rstrip('/')}/.zattrs" + response = s3_client.head_object(Bucket=bucket_name, Key=key_to_check) + s3_time = response['LastModified'] + log.info(f"S3 timestamp for '{key_to_check}' is {s3_time}") + return s3_time + except ClientError as e: + if e.response['Error']['Code'] == '404': + log.error(f"S3 object not found: {key_to_check}") + else: + log.opt(exception=e).error("Failed to get S3 object metadata.") + return None + +def get_local_timestamp() -> Optional[datetime.datetime]: + """Reads the last processed timestamp from the local file.""" + try: + if _TIMESTAMP_FILE.exists(): + content = _TIMESTAMP_FILE.read_text().strip() + ts = datetime.datetime.fromisoformat(content) + log.info(f"Found local timestamp: {ts}") + return ts + else: + log.info("Local timestamp file not found. Will assume this is a first run.") + return None + except Exception as e: + log.opt(exception=e).error("Could not read or parse local timestamp file.") return None -def get_current_forecast_folder( - target_time: Optional[datetime.datetime] = None, -) -> str: +def _job_worker(bucket_name: str, s3_prefix: str, geotiff_dir: str) -> None: """ - Get the S3 forecast folder name for a specific timestamp. + The core logic for the update job, designed to be run in a separate process. """ - if not target_time: - target_time = datetime.datetime.now(datetime.timezone.utc) - minutes = target_time.minute - target_time = target_time.replace(minute=(0 if minutes < 30 else 30), second=0, microsecond=0) + try: + # 1. Check if an update is needed + s3_time = get_s3_timestamp(bucket_name, s3_prefix) + if not s3_time: + log.error("Could not retrieve S3 timestamp. Aborting job.") + return + + local_time = get_local_timestamp() + if local_time and s3_time <= local_time: + log.info("S3 data is not newer than last processed data. No update needed.") + return + + log.info("Newer data found on S3. Starting download and conversion process.") + + # 2. Download to a temporary directory + with tempfile.TemporaryDirectory() as tmpdir: + zarr_local_path = os.path.join(tmpdir, 'latest.zarr') + downloaded_path = download_s3_folder( + bucket_name=bucket_name, + s3_folder=s3_prefix, + local_dir=zarr_local_path + ) + + if not downloaded_path: + log.error("Download failed. Aborting job.") + return + + # 3. Convert to GeoTIFFs in the final destination + # First, ensure the destination exists + Path(geotiff_dir).mkdir(parents=True, exist_ok=True) + convert_zarr_to_geotiffs(downloaded_path, geotiff_dir) + + # 4. On success, update the local timestamp file + try: + _TIMESTAMP_FILE.write_text(s3_time.isoformat()) + log.success(f"Successfully updated local timestamp to {s3_time.isoformat()}") + except Exception as e: + log.opt(exception=e).error("CRITICAL: Failed to write new timestamp after successful processing.") - forecast_folder = f"cloudcasting_forecast/{target_time.strftime('%Y-%m-%dT%H:%M')}.zarr/" - log.info(f"Determined S3 forecast folder: {forecast_folder}") - return forecast_folder + except Exception as e: + log.opt(exception=e).critical("An unhandled exception occurred in the job worker process.") + finally: + log.info("Job worker process finished.") -def scheduled_download( - bucket_name: str = settings.s3_bucket_name, - zarr_local_dir: str = settings.zarr_storage_path, - geotiff_local_dir: str = GEOTIFF_STORAGE_PATH, -) -> None: +def run_update_job() -> None: """ - Schedule the download of an S3 folder and subsequent conversion to GeoTIFF. + The main entry point to be called by an external scheduler (cron). + + It manages a single background process, ensuring that only one instance + of the download/conversion job runs at a time. If a new job is triggered + while an old one is running, the new request is ignored. """ - log.info(f"Starting scheduled task. Zarrs will be saved to '{zarr_local_dir}', GeoTIFFs to '{geotiff_local_dir}'.") - generation_delay = 15 # Wait 15 mins past the hour/half-hour for data to be ready - - while True: - try: - now = datetime.datetime.now(datetime.timezone.utc) - - # Determine the most recent, ready-to-download forecast time - if now.minute >= 30 + generation_delay: - target_time = now.replace(minute=30, second=0, microsecond=0) - elif now.minute >= generation_delay: - target_time = now.replace(minute=0, second=0, microsecond=0) - else: # Not yet 15 mins past the hour, get previous half-hour slot - target_time = now.replace(second=0, microsecond=0) - datetime.timedelta(minutes=now.minute % 30 + 30) - - log.info(f"Targeting forecast for time: {target_time.strftime('%Y-%m-%d %H:%M:%S UTC')}") - - # --- 1. Download the data --- - s3_folder = get_current_forecast_folder(target_time=target_time) - downloaded_zarr_path = download_s3_folder(bucket_name, s3_folder, zarr_local_dir) - - # --- 2. Convert to GeoTIFF --- - if downloaded_zarr_path: - geotiff_run_dir = os.path.join(geotiff_local_dir, os.path.basename(downloaded_zarr_path)) - convert_zarr_to_geotiffs(downloaded_zarr_path, geotiff_run_dir) - else: - log.warning("Skipping GeoTIFF conversion because download failed or returned no files.") + global _current_process + with _process_lock: + if _current_process and _current_process.is_alive(): + log.info(f"Previous job (PID: {_current_process.pid}) is still running. Ignoring new request.") + return + + log.info("Starting new background job for data download and conversion.") + _current_process = multiprocessing.Process( + target=_job_worker, + args=( + settings.s3_bucket_name, + S3_ZARR_PREFIX, + GEOTIFF_STORAGE_PATH, + ), + daemon=True + ) + _current_process.start() + log.info(f"Job started with PID: {_current_process.pid}") - # --- 3. Calculate sleep time until next run --- - now = datetime.datetime.now(datetime.timezone.utc) - if now.minute < 30: - next_run_base = now.replace(minute=30, second=0, microsecond=0) - else: - next_run_base = (now + datetime.timedelta(hours=1)).replace(minute=0, second=0, microsecond=0) - - next_run_with_delay = next_run_base + datetime.timedelta(minutes=generation_delay) - sleep_seconds = (next_run_with_delay - now).total_seconds() - - if sleep_seconds <= 0: - sleep_seconds = 60 # Default to 1 minute if calculation is off - - log.info(f"Next download check scheduled for: {next_run_with_delay.strftime('%Y-%m-%d %H:%M:%S UTC')}") - log.info(f"Sleeping for {sleep_seconds/60:.2f} minutes.") - time.sleep(sleep_seconds) - - except Exception as e: - log.opt(exception=e).critical("An unhandled error occurred in the scheduling loop.") - log.info("Retrying in 5 minutes...") - time.sleep(300) - - -def start_download_thread() -> None: - """Start the download and conversion process in a separate thread.""" - download_thread = threading.Thread( - target=scheduled_download, - daemon=True, - ) - log.info("Starting S3 downloader and GeoTIFF converter thread.") - download_thread.start() - - -if __name__ == "__main__": - # This block allows running the script directly for testing. - # Ensure you have a 'cloudcasting_backend/settings.py' file or mock the settings object. - log.info("Running S3 downloader and converter script directly...") - scheduled_download( - bucket_name=settings.s3_bucket_name, - zarr_local_dir=settings.zarr_storage_path, - geotiff_local_dir=GEOTIFF_STORAGE_PATH, - ) \ No newline at end of file + +# ============================================================================== +# == API INTEGRATION FUNCTIONS +# ============================================================================== + +def trigger_background_download() -> str: + """ + Trigger a background download and return a task ID. + + Returns: + A task ID that can be used to track the job. + + Raises: + RuntimeError: If a job is already running. + """ + global _current_process + with _process_lock: + if _current_process and _current_process.is_alive(): + raise RuntimeError(f"Download job already running with PID: {_current_process.pid}") + + # Start the background job + run_update_job() + + # Return the process ID as task ID + if _current_process: + return str(_current_process.pid) + else: + raise RuntimeError("Failed to start background process") + + +def get_download_status() -> Dict[str, Any]: + """ + Get the current status of the download process. + + Returns: + Dictionary with status information. + """ + global _current_process + + with _process_lock: + is_running = bool(_current_process and _current_process.is_alive()) + + status_info = { + "is_running": is_running, + "current_task": None, + "last_completed": None, + "error": None + } + + if is_running and _current_process: + status_info["current_task"] = f"Process {_current_process.pid} downloading and converting data" + + # Check for last processed timestamp + if _TIMESTAMP_FILE.exists(): + try: + last_processed = _TIMESTAMP_FILE.read_text().strip() + status_info["last_completed"] = last_processed + except Exception as e: + log.opt(exception=e).warning("Could not read last processed timestamp") + + return status_info + + +def get_current_forecast_folder() -> Optional[str]: + """ + Get the path to the current forecast folder if it exists. + + Returns: + Path to the current forecast folder or None if not available. + """ + layers_path = Path(GEOTIFF_STORAGE_PATH) + if layers_path.exists() and any(layers_path.iterdir()): + return str(layers_path) + return None \ No newline at end of file diff --git a/cloudcasting_backend/settings.py b/cloudcasting_backend/settings.py index 83976b3..04347fc 100644 --- a/cloudcasting_backend/settings.py +++ b/cloudcasting_backend/settings.py @@ -64,6 +64,7 @@ class Settings(BaseSettings): env_file=".env", env_prefix="CLOUDCASTING_BACKEND_", env_file_encoding="utf-8", + extra="ignore", # Ignore extra fields from .env file ) diff --git a/cloudcasting_backend/web/api/cloudcasting/views.py b/cloudcasting_backend/web/api/cloudcasting/views.py index ac0255f..21b106f 100644 --- a/cloudcasting_backend/web/api/cloudcasting/views.py +++ b/cloudcasting_backend/web/api/cloudcasting/views.py @@ -2,16 +2,16 @@ import os from pathlib import Path -from typing import List +from typing import List, Optional from fastapi import APIRouter, HTTPException, status from fastapi.responses import FileResponse from pydantic import BaseModel from cloudcasting_backend.services.s3_downloader import ( - download_s3_folder, + run_update_job, + get_download_status, get_current_forecast_folder, - convert_zarr_to_geotiffs, GEOTIFF_STORAGE_PATH, ) from cloudcasting_backend.settings import settings @@ -33,6 +33,22 @@ class AvailableLayersResponse(BaseModel): steps: List[int] +class BackgroundTaskResponse(BaseModel): + """Response model for background tasks.""" + + task_id: str + message: str + + +class DownloadStatusResponse(BaseModel): + """Response model for download status.""" + + is_running: bool + current_task: Optional[str] = None + last_completed: Optional[str] = None + error: Optional[str] = None + + @router.get("/status", response_model=CloudcastingResponse) async def get_cloudcasting_status() -> CloudcastingResponse: """ @@ -61,48 +77,46 @@ async def get_cloudcasting_status() -> CloudcastingResponse: ) -@router.post("/trigger-download", response_model=CloudcastingResponse) -async def trigger_download() -> CloudcastingResponse: +@router.post("/trigger-download", response_model=BackgroundTaskResponse) +async def trigger_download() -> BackgroundTaskResponse: """ - Manually trigger a download of the latest cloudcasting data. - Downloads the data and converts it to GeoTIFF format, then completes. + Trigger a background download of the latest cloudcasting data. + Downloads the data and converts it to GeoTIFF format in the background. + Returns immediately with a task ID that can be used to check status. """ try: - bucket_name = settings.s3_bucket_name - s3_folder = get_current_forecast_folder() - local_dir = settings.zarr_storage_path - - # Ensure directory exists - Path(local_dir).mkdir(parents=True, exist_ok=True) - - # Download the data - downloaded_zarr_path = download_s3_folder(bucket_name, s3_folder, local_dir) - - # Convert to GeoTIFF if download was successful - if downloaded_zarr_path: - convert_zarr_to_geotiffs(downloaded_zarr_path, GEOTIFF_STORAGE_PATH) - - # Check if data is available and return path - latest_path = Path(local_dir) / "cloudcasting_forecast" / "latest.zarr" - if latest_path.exists(): - relative_path = latest_path.relative_to( - Path(settings.zarr_storage_path).parent, - ) - data_path = f"/static/{relative_path}" - else: - data_path = "" - - return CloudcastingResponse( - message="Download and conversion completed successfully", - data_path=data_path, + # Directly call run_update_job to start the background process + run_update_job() + + # Get the current status to return task info + status_info = get_download_status() + task_id = status_info.get("current_task", "unknown") + + return BackgroundTaskResponse( + task_id=task_id, + message=f"Background download started: {task_id}" + ) + except RuntimeError as e: + raise HTTPException( + status_code=status.HTTP_409_CONFLICT, + detail=str(e), ) except Exception as e: raise HTTPException( status_code=status.HTTP_500_INTERNAL_SERVER_ERROR, - detail=f"Failed to download data: {e!s}", + detail=f"Failed to start download: {e!s}", ) +@router.get("/download-status", response_model=DownloadStatusResponse) +async def get_download_status_endpoint() -> DownloadStatusResponse: + """ + Get the current status of background download processes. + """ + status_info = get_download_status() + return DownloadStatusResponse(**status_info) + + @router.get("/layers", response_model=AvailableLayersResponse) async def get_available_layers() -> AvailableLayersResponse: """ diff --git a/cloudcasting_backend/web/lifespan.py b/cloudcasting_backend/web/lifespan.py index 061b363..e6149e6 100644 --- a/cloudcasting_backend/web/lifespan.py +++ b/cloudcasting_backend/web/lifespan.py @@ -1,7 +1,9 @@ +import os from contextlib import asynccontextmanager from typing import AsyncGenerator from fastapi import FastAPI +from loguru import logger as log from opentelemetry.exporter.otlp.proto.grpc.trace_exporter import OTLPSpanExporter from opentelemetry.instrumentation.fastapi import FastAPIInstrumentor from opentelemetry.sdk.resources import ( @@ -14,7 +16,6 @@ from opentelemetry.sdk.trace.export import BatchSpanProcessor from opentelemetry.trace import set_tracer_provider -from cloudcasting_backend.services import start_download_thread from cloudcasting_backend.settings import settings @@ -93,10 +94,6 @@ async def lifespan_setup( setup_opentelemetry(app) app.middleware_stack = app.build_middleware_stack() - # Start the scheduled S3 download thread - # Disabled: Auto-running thread removed, use /trigger-download endpoint instead - # if settings.environment != "pytest": # Don't start in test environment - # start_download_thread() yield stop_opentelemetry(app) diff --git a/tests/test_auth.py b/tests/test_auth.py new file mode 100644 index 0000000..e69de29 From 58dd025002c8b027c8e95b264e7a3b04f1b47882 Mon Sep 17 00:00:00 2001 From: suvanbanerjee Date: Wed, 6 Aug 2025 00:07:26 +0530 Subject: [PATCH 09/18] black formating --- cloudcasting_backend/services/__init__.py | 8 +- .../services/s3_downloader.py | 212 +++++++++++------- cloudcasting_backend/settings.py | 2 +- .../web/api/cloudcasting/views.py | 43 ++-- cloudcasting_backend/web/application.py | 3 +- cloudcasting_backend/web/lifespan.py | 3 - 6 files changed, 160 insertions(+), 111 deletions(-) diff --git a/cloudcasting_backend/services/__init__.py b/cloudcasting_backend/services/__init__.py index 36c3985..9741336 100644 --- a/cloudcasting_backend/services/__init__.py +++ b/cloudcasting_backend/services/__init__.py @@ -1,13 +1,13 @@ """Services for cloudcasting_backend.""" from cloudcasting_backend.services.s3_downloader import ( - run_update_job, - get_download_status, get_current_forecast_folder, + get_download_status, + run_update_job, ) __all__ = [ - "run_update_job", - "get_download_status", "get_current_forecast_folder", + "get_download_status", + "run_update_job", ] diff --git a/cloudcasting_backend/services/s3_downloader.py b/cloudcasting_backend/services/s3_downloader.py index a2097b8..2b9e6ca 100644 --- a/cloudcasting_backend/services/s3_downloader.py +++ b/cloudcasting_backend/services/s3_downloader.py @@ -4,14 +4,12 @@ """ import datetime +import multiprocessing import os import re -import shutil import tempfile -import multiprocessing -from functools import wraps from pathlib import Path -from typing import Callable, Optional, Dict, Any +from typing import Any, Dict, Optional import boto3 import numpy as np @@ -27,11 +25,15 @@ from cloudcasting_backend.settings import settings # --- Configuration for GeoTIFF Conversion --- -GEOTIFF_STORAGE_PATH = "cloudcasting_backend/static/layers" # Base directory for all GeoTIFF output +GEOTIFF_STORAGE_PATH = ( + "cloudcasting_backend/static/layers" # Base directory for all GeoTIFF output +) # Bounding box for cropping the GeoTIFF output [lon_min, lat_min, lon_max, lat_max] GEOTIFF_BBOX = [-19.0, 42.0, 15.0, 65.0] GEOTIFF_RESOLUTION = 0.075 # Output grid resolution in degrees -S3_ZARR_PREFIX = "cloudcasting_forecast/latest.zarr/" # The S3 prefix for the latest forecast +S3_ZARR_PREFIX = ( + "cloudcasting_forecast/latest.zarr/" # The S3 prefix for the latest forecast +) # --- State Management for Cron Job --- _process_lock = multiprocessing.Lock() @@ -43,7 +45,14 @@ # == GEO-TIFF CONVERSION FUNCTIONS (Unchanged) # ============================================================================== -def save_to_geotiff(filename: str, data: np.ndarray, lat_grid: np.ndarray, lon_grid: np.ndarray, nodata: float = np.nan) -> None: + +def save_to_geotiff( + filename: str, + data: np.ndarray, + lat_grid: np.ndarray, + lon_grid: np.ndarray, + nodata: float = np.nan, +) -> None: """ Save a 2D data array with lat/lon grids to a GeoTIFF file in WGS84. @@ -65,8 +74,8 @@ def save_to_geotiff(filename: str, data: np.ndarray, lat_grid: np.ndarray, lon_g try: with rasterio.open( filename, - 'w', - driver='GTiff', + "w", + driver="GTiff", height=height, width=width, count=1, @@ -92,9 +101,9 @@ def parse_orbital_parameters(orbital_params_str: str) -> Dict[str, Any]: A dictionary of parameter values. """ params = {} - for line in orbital_params_str.strip().split('\n'): - if ':' in line: - key, value = line.split(':', 1) + for line in orbital_params_str.strip().split("\n"): + if ":" in line: + key, value = line.split(":", 1) try: params[key.strip()] = float(value.strip()) except ValueError: @@ -114,7 +123,7 @@ def extract_satellite_info(ds: xr.Dataset) -> Dict[str, float]: Dictionary with satellite parameters {'longitude': float, 'height': float}. """ # Default values set to Meteosat-11 parameters - satellite_info = {'longitude': 9.6, 'height': 35785831.0} + satellite_info = {"longitude": 9.6, "height": 35785831.0} platform_name = "Unknown" # Calibration values for Meteosat-10 and Meteosat-11 @@ -122,40 +131,50 @@ def extract_satellite_info(ds: xr.Dataset) -> Dict[str, float]: METEOSAT_11_LONGITUDE = 9.5 SATELLITE_HEIGHT = 35785831.0 - if hasattr(ds, 'sat_pred') and hasattr(ds.sat_pred, 'attrs'): + if hasattr(ds, "sat_pred") and hasattr(ds.sat_pred, "attrs"): attrs = ds.sat_pred.attrs - if 'platform_name' in attrs: - platform_name = attrs['platform_name'] + if "platform_name" in attrs: + platform_name = attrs["platform_name"] log.info(f"📡 Detected satellite platform: {platform_name}") if "Meteosat-10" in platform_name: - satellite_info['longitude'] = METEOSAT_10_LONGITUDE - satellite_info['height'] = SATELLITE_HEIGHT + satellite_info["longitude"] = METEOSAT_10_LONGITUDE + satellite_info["height"] = SATELLITE_HEIGHT log.info("Using hard-coded parameters for Meteosat-10.") elif "Meteosat-11" in platform_name: - satellite_info['longitude'] = METEOSAT_11_LONGITUDE - satellite_info['height'] = SATELLITE_HEIGHT + satellite_info["longitude"] = METEOSAT_11_LONGITUDE + satellite_info["height"] = SATELLITE_HEIGHT log.info("Using hard-coded parameters for Meteosat-11.") else: - log.warning(f"Platform '{platform_name}' not specifically handled. Attempting fallback attribute search.") + log.warning( + f"Platform '{platform_name}' not specifically handled. Attempting fallback attribute search.", + ) # Fallback for other satellites by parsing attributes - if 'orbital_parameters' in attrs: - orbital_params = parse_orbital_parameters(attrs['orbital_parameters']) - if 'satellite_actual_longitude' in orbital_params: - satellite_info['longitude'] = orbital_params['satellite_actual_longitude'] - if 'satellite_actual_altitude' in orbital_params: - satellite_info['height'] = orbital_params['satellite_actual_altitude'] - elif 'area' in attrs: - area_str = attrs['area'] - lon_match = re.search(r'lon_0:\s*([\d.-]+)', area_str) + if "orbital_parameters" in attrs: + orbital_params = parse_orbital_parameters( + attrs["orbital_parameters"], + ) + if "satellite_actual_longitude" in orbital_params: + satellite_info["longitude"] = orbital_params[ + "satellite_actual_longitude" + ] + if "satellite_actual_altitude" in orbital_params: + satellite_info["height"] = orbital_params[ + "satellite_actual_altitude" + ] + elif "area" in attrs: + area_str = attrs["area"] + lon_match = re.search(r"lon_0:\s*([\d.-]+)", area_str) if lon_match: - satellite_info['longitude'] = float(lon_match.group(1)) - h_match = re.search(r'h:\s*([\d.-]+)', area_str) + satellite_info["longitude"] = float(lon_match.group(1)) + h_match = re.search(r"h:\s*([\d.-]+)", area_str) if h_match: - satellite_info['height'] = float(h_match.group(1)) + satellite_info["height"] = float(h_match.group(1)) - log.info(f"Using projection parameters for {platform_name}: " - f"Longitude={satellite_info['longitude']}°, Height={satellite_info['height']}m") + log.info( + f"Using projection parameters for {platform_name}: " + f"Longitude={satellite_info['longitude']}°, Height={satellite_info['height']}m", + ) return satellite_info @@ -187,8 +206,13 @@ def convert_zarr_to_geotiffs(zarr_path: str, output_dir: str) -> None: x_coords, y_coords = ds.x_geostationary.values, ds.y_geostationary.values x_mesh, y_mesh = np.meshgrid(x_coords, y_coords) - geos_proj = pyproj.Proj(proj='geos', h=satellite_info['height'], lon_0=satellite_info['longitude'], sweep='y') - wgs84_proj = pyproj.Proj(proj='latlong', datum='WGS84') + geos_proj = pyproj.Proj( + proj="geos", + h=satellite_info["height"], + lon_0=satellite_info["longitude"], + sweep="y", + ) + wgs84_proj = pyproj.Proj(proj="latlong", datum="WGS84") transformer = pyproj.Transformer.from_proj(geos_proj, wgs84_proj, always_xy=True) lon_grid, lat_grid = transformer.transform(x_mesh, y_mesh) valid_coord_mask = np.isfinite(lon_grid) & np.isfinite(lat_grid) @@ -199,10 +223,12 @@ def convert_zarr_to_geotiffs(zarr_path: str, output_dir: str) -> None: log.info(f"Target grid for interpolation created with shape {lon_target.shape}.") # --- 2. Iterate through all variables and steps --- - variables = ds['variable'].values - steps = ds['step'].values + variables = ds["variable"].values + steps = ds["step"].values total_files = len(variables) * len(steps) - log.info(f"Found {len(variables)} variables and {len(steps)} steps. Processing {total_files} files.") + log.info( + f"Found {len(variables)} variables and {len(steps)} steps. Processing {total_files} files.", + ) for var_idx, var_name in enumerate(variables): # Save layers to /layers/VAR_NAME/0.tif, /layers/VAR_NAME/1.tif etc. @@ -212,7 +238,11 @@ def convert_zarr_to_geotiffs(zarr_path: str, output_dir: str) -> None: for step_idx in range(len(steps)): log.info(f"Processing: Variable '{var_name}', Step {step_idx}") try: - data_slice = ds.sat_pred.isel(init_time=0, variable=var_idx, step=step_idx).values + data_slice = ds.sat_pred.isel( + init_time=0, + variable=var_idx, + step=step_idx, + ).values valid_data_mask = ~np.isnan(data_slice) final_mask = valid_coord_mask & valid_data_mask @@ -220,28 +250,39 @@ def convert_zarr_to_geotiffs(zarr_path: str, output_dir: str) -> None: values = data_slice[final_mask] if points.shape[0] < 4: - log.warning(f"Not enough valid data points ({points.shape[0]}) for interpolation. Skipping.") + log.warning( + f"Not enough valid data points ({points.shape[0]}) for interpolation. Skipping.", + ) continue interp_data = griddata( - points, values, (lon_target, lat_target), method='cubic', fill_value=np.nan + points, + values, + (lon_target, lat_target), + method="cubic", + fill_value=np.nan, ).astype(np.float32) output_filename = os.path.join(var_output_dir, f"{step_idx}.tif") save_to_geotiff(output_filename, interp_data, lat_target, lon_target) except Exception as e: - log.opt(exception=e).error(f"Error processing slice: var='{var_name}', step={step_idx}") + log.opt(exception=e).error( + f"Error processing slice: var='{var_name}', step={step_idx}", + ) continue ds.close() - log.success(f"Finished GeoTIFF conversion for {zarr_path}. Processed {total_files} files.") + log.success( + f"Finished GeoTIFF conversion for {zarr_path}. Processed {total_files} files.", + ) # ============================================================================== # == S3 DATA DOWNLOADER FUNCTIONS # ============================================================================== + def download_s3_folder( bucket_name: str, s3_folder: str, @@ -267,7 +308,9 @@ def download_s3_folder( bucket = s3.Bucket(bucket_name) objects = list(bucket.objects.filter(Prefix=s3_folder).limit(1)) if not objects: - log.error(f"S3 prefix '{s3_folder}' does not exist or is empty in bucket '{bucket_name}'.") + log.error( + f"S3 prefix '{s3_folder}' does not exist or is empty in bucket '{bucket_name}'.", + ) return None log.info(f"Starting download from s3://{bucket_name}/{s3_folder} to '{local_dir}'") @@ -282,14 +325,15 @@ def download_s3_folder( if downloaded_files > 0: log.success(f"Finished downloading {downloaded_files} files to '{local_dir}'") return local_dir - else: - log.error(f"Download failed: No files were found under prefix '{s3_folder}'.") - return None + log.error(f"Download failed: No files were found under prefix '{s3_folder}'.") + return None + # ================================================================================ # == CRON-TRIGGERED JOB LOGIC # ================================================================================ + def get_s3_timestamp(bucket_name: str, s3_prefix: str) -> Optional[datetime.datetime]: """Get the LastModified timestamp of the .zattrs file in the S3 prefix.""" try: @@ -302,16 +346,17 @@ def get_s3_timestamp(bucket_name: str, s3_prefix: str) -> Optional[datetime.date # A key that should always exist and represent the dataset's age key_to_check = f"{s3_prefix.rstrip('/')}/.zattrs" response = s3_client.head_object(Bucket=bucket_name, Key=key_to_check) - s3_time = response['LastModified'] + s3_time = response["LastModified"] log.info(f"S3 timestamp for '{key_to_check}' is {s3_time}") return s3_time except ClientError as e: - if e.response['Error']['Code'] == '404': + if e.response["Error"]["Code"] == "404": log.error(f"S3 object not found: {key_to_check}") else: log.opt(exception=e).error("Failed to get S3 object metadata.") return None + def get_local_timestamp() -> Optional[datetime.datetime]: """Reads the last processed timestamp from the local file.""" try: @@ -320,9 +365,8 @@ def get_local_timestamp() -> Optional[datetime.datetime]: ts = datetime.datetime.fromisoformat(content) log.info(f"Found local timestamp: {ts}") return ts - else: - log.info("Local timestamp file not found. Will assume this is a first run.") - return None + log.info("Local timestamp file not found. Will assume this is a first run.") + return None except Exception as e: log.opt(exception=e).error("Could not read or parse local timestamp file.") return None @@ -348,11 +392,11 @@ def _job_worker(bucket_name: str, s3_prefix: str, geotiff_dir: str) -> None: # 2. Download to a temporary directory with tempfile.TemporaryDirectory() as tmpdir: - zarr_local_path = os.path.join(tmpdir, 'latest.zarr') + zarr_local_path = os.path.join(tmpdir, "latest.zarr") downloaded_path = download_s3_folder( bucket_name=bucket_name, s3_folder=s3_prefix, - local_dir=zarr_local_path + local_dir=zarr_local_path, ) if not downloaded_path: @@ -367,12 +411,18 @@ def _job_worker(bucket_name: str, s3_prefix: str, geotiff_dir: str) -> None: # 4. On success, update the local timestamp file try: _TIMESTAMP_FILE.write_text(s3_time.isoformat()) - log.success(f"Successfully updated local timestamp to {s3_time.isoformat()}") + log.success( + f"Successfully updated local timestamp to {s3_time.isoformat()}", + ) except Exception as e: - log.opt(exception=e).error("CRITICAL: Failed to write new timestamp after successful processing.") + log.opt(exception=e).error( + "CRITICAL: Failed to write new timestamp after successful processing.", + ) except Exception as e: - log.opt(exception=e).critical("An unhandled exception occurred in the job worker process.") + log.opt(exception=e).critical( + "An unhandled exception occurred in the job worker process.", + ) finally: log.info("Job worker process finished.") @@ -388,7 +438,9 @@ def run_update_job() -> None: global _current_process with _process_lock: if _current_process and _current_process.is_alive(): - log.info(f"Previous job (PID: {_current_process.pid}) is still running. Ignoring new request.") + log.info( + f"Previous job (PID: {_current_process.pid}) is still running. Ignoring new request.", + ) return log.info("Starting new background job for data download and conversion.") @@ -399,7 +451,7 @@ def run_update_job() -> None: S3_ZARR_PREFIX, GEOTIFF_STORAGE_PATH, ), - daemon=True + daemon=True, ) _current_process.start() log.info(f"Job started with PID: {_current_process.pid}") @@ -409,53 +461,57 @@ def run_update_job() -> None: # == API INTEGRATION FUNCTIONS # ============================================================================== + def trigger_background_download() -> str: """ Trigger a background download and return a task ID. - + Returns: A task ID that can be used to track the job. - + Raises: RuntimeError: If a job is already running. """ global _current_process with _process_lock: if _current_process and _current_process.is_alive(): - raise RuntimeError(f"Download job already running with PID: {_current_process.pid}") - + raise RuntimeError( + f"Download job already running with PID: {_current_process.pid}", + ) + # Start the background job run_update_job() - + # Return the process ID as task ID if _current_process: return str(_current_process.pid) - else: - raise RuntimeError("Failed to start background process") + raise RuntimeError("Failed to start background process") def get_download_status() -> Dict[str, Any]: """ Get the current status of the download process. - + Returns: Dictionary with status information. """ global _current_process - + with _process_lock: is_running = bool(_current_process and _current_process.is_alive()) - + status_info = { "is_running": is_running, "current_task": None, "last_completed": None, - "error": None + "error": None, } - + if is_running and _current_process: - status_info["current_task"] = f"Process {_current_process.pid} downloading and converting data" - + status_info["current_task"] = ( + f"Process {_current_process.pid} downloading and converting data" + ) + # Check for last processed timestamp if _TIMESTAMP_FILE.exists(): try: @@ -463,18 +519,18 @@ def get_download_status() -> Dict[str, Any]: status_info["last_completed"] = last_processed except Exception as e: log.opt(exception=e).warning("Could not read last processed timestamp") - + return status_info def get_current_forecast_folder() -> Optional[str]: """ Get the path to the current forecast folder if it exists. - + Returns: Path to the current forecast folder or None if not available. """ layers_path = Path(GEOTIFF_STORAGE_PATH) if layers_path.exists() and any(layers_path.iterdir()): return str(layers_path) - return None \ No newline at end of file + return None diff --git a/cloudcasting_backend/settings.py b/cloudcasting_backend/settings.py index 04347fc..fd256fc 100644 --- a/cloudcasting_backend/settings.py +++ b/cloudcasting_backend/settings.py @@ -56,7 +56,7 @@ class Settings(BaseSettings): # Path to store downloaded zarr files zarr_storage_path: str = "cloudcasting_backend/static/zarr_files" - + # Path to store converted GeoTIFF layers geotiff_storage_path: str = "cloudcasting_backend/static/layers" diff --git a/cloudcasting_backend/web/api/cloudcasting/views.py b/cloudcasting_backend/web/api/cloudcasting/views.py index 21b106f..9436cb0 100644 --- a/cloudcasting_backend/web/api/cloudcasting/views.py +++ b/cloudcasting_backend/web/api/cloudcasting/views.py @@ -1,6 +1,5 @@ """API endpoints for cloudcasting data.""" -import os from pathlib import Path from typing import List, Optional @@ -9,10 +8,8 @@ from pydantic import BaseModel from cloudcasting_backend.services.s3_downloader import ( - run_update_job, get_download_status, - get_current_forecast_folder, - GEOTIFF_STORAGE_PATH, + run_update_job, ) from cloudcasting_backend.settings import settings @@ -35,14 +32,14 @@ class AvailableLayersResponse(BaseModel): class BackgroundTaskResponse(BaseModel): """Response model for background tasks.""" - + task_id: str message: str class DownloadStatusResponse(BaseModel): """Response model for download status.""" - + is_running: bool current_task: Optional[str] = None last_completed: Optional[str] = None @@ -87,14 +84,14 @@ async def trigger_download() -> BackgroundTaskResponse: try: # Directly call run_update_job to start the background process run_update_job() - + # Get the current status to return task info status_info = get_download_status() task_id = status_info.get("current_task", "unknown") - + return BackgroundTaskResponse( task_id=task_id, - message=f"Background download started: {task_id}" + message=f"Background download started: {task_id}", ) except RuntimeError as e: raise HTTPException( @@ -121,31 +118,31 @@ async def get_download_status_endpoint() -> DownloadStatusResponse: async def get_available_layers() -> AvailableLayersResponse: """ Get list of available channels and steps for TIF layers. - + Returns the available variable names (channels) and step indices. """ layers_path = Path(settings.geotiff_storage_path) - + if not layers_path.exists(): return AvailableLayersResponse(channels=[], steps=[]) - + channels = [] all_steps = set() - + # Scan for available channels (variable directories) for channel_dir in layers_path.iterdir(): if channel_dir.is_dir(): channels.append(channel_dir.name) - + # Scan for available steps in this channel for tif_file in channel_dir.glob("*.tif"): # Extract step number from filename (e.g., "step_0.tif" -> 0) if tif_file.stem.isdigit(): all_steps.add(int(tif_file.stem)) - + return AvailableLayersResponse( channels=sorted(channels), - steps=sorted(list(all_steps)) + steps=sorted(list(all_steps)), ) @@ -153,27 +150,27 @@ async def get_available_layers() -> AvailableLayersResponse: async def get_tif_layer(channel: str, step: int): """ Serve a specific TIF file for the given channel and step. - + Args: - channel: The variable name (channel) + channel: The variable name (channel) step: The step number - + Returns: FileResponse: The TIF file for display in Mapbox """ # Construct the file path tif_path = Path(settings.geotiff_storage_path) / channel / f"{step}.tif" - + # Check if file exists if not tif_path.exists(): raise HTTPException( status_code=status.HTTP_404_NOT_FOUND, - detail=f"TIF file not found for channel '{channel}' and step '{step}'" + detail=f"TIF file not found for channel '{channel}' and step '{step}'", ) - + # Return the file return FileResponse( path=str(tif_path), media_type="image/tiff", - filename=f"{channel}_step_{step}.tif" + filename=f"{channel}_step_{step}.tif", ) diff --git a/cloudcasting_backend/web/application.py b/cloudcasting_backend/web/application.py index de11e5f..65309f4 100644 --- a/cloudcasting_backend/web/application.py +++ b/cloudcasting_backend/web/application.py @@ -1,10 +1,9 @@ import logging from importlib import metadata from pathlib import Path -import os -import tomli import sentry_sdk +import tomli from fastapi import FastAPI from fastapi.middleware.cors import CORSMiddleware from fastapi.responses import UJSONResponse diff --git a/cloudcasting_backend/web/lifespan.py b/cloudcasting_backend/web/lifespan.py index e6149e6..464a0f8 100644 --- a/cloudcasting_backend/web/lifespan.py +++ b/cloudcasting_backend/web/lifespan.py @@ -1,9 +1,7 @@ -import os from contextlib import asynccontextmanager from typing import AsyncGenerator from fastapi import FastAPI -from loguru import logger as log from opentelemetry.exporter.otlp.proto.grpc.trace_exporter import OTLPSpanExporter from opentelemetry.instrumentation.fastapi import FastAPIInstrumentor from opentelemetry.sdk.resources import ( @@ -94,6 +92,5 @@ async def lifespan_setup( setup_opentelemetry(app) app.middleware_stack = app.build_middleware_stack() - yield stop_opentelemetry(app) From f53f87060eb8ade82165cb03cdb4ef2292565220 Mon Sep 17 00:00:00 2001 From: suvanbanerjee Date: Wed, 6 Aug 2025 09:36:56 +0530 Subject: [PATCH 10/18] port change --- cloudcasting_backend/settings.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/cloudcasting_backend/settings.py b/cloudcasting_backend/settings.py index fd256fc..d7810b4 100644 --- a/cloudcasting_backend/settings.py +++ b/cloudcasting_backend/settings.py @@ -27,7 +27,7 @@ class Settings(BaseSettings): with environment variables. """ - host: str = "127.0.0.1" + host: str = "0.0.0.0" port: int = 8000 # quantity of workers for uvicorn workers_count: int = 1 From f3144c94fa6f335a0553506c4c167a3ea55eb0d6 Mon Sep 17 00:00:00 2001 From: suvanbanerjee Date: Mon, 18 Aug 2025 12:24:49 +0530 Subject: [PATCH 11/18] fix build --- cloudcasting_backend/web/application.py | 6 +++--- deploy/docker-compose.dev.yml | 3 --- 2 files changed, 3 insertions(+), 6 deletions(-) diff --git a/cloudcasting_backend/web/application.py b/cloudcasting_backend/web/application.py index 65309f4..0613cd5 100644 --- a/cloudcasting_backend/web/application.py +++ b/cloudcasting_backend/web/application.py @@ -66,10 +66,10 @@ def get_app() -> FastAPI: # Add CORS middleware app.add_middleware( CORSMiddleware, - allow_origins=["*"], # Allows all origins + allow_origins=["*"], allow_credentials=True, - allow_methods=["*"], # Allows all methods - allow_headers=["*"], # Allows all headers + allow_methods=["*"], + allow_headers=["*"], ) # Main router for the API. diff --git a/deploy/docker-compose.dev.yml b/deploy/docker-compose.dev.yml index 8802700..d436d7c 100644 --- a/deploy/docker-compose.dev.yml +++ b/deploy/docker-compose.dev.yml @@ -8,6 +8,3 @@ services: volumes: # Adds current directory as volume. - .:/app/src/ - environment: - # Enables autoreload. - CLOUDCASTING_BACKEND_RELOAD: "True" From 934b1ac4675681a9c5e134e5f6923ec99af35310 Mon Sep 17 00:00:00 2001 From: suvanbanerjee Date: Mon, 18 Aug 2025 15:57:57 +0530 Subject: [PATCH 12/18] test's --- TODO | 2 - cloudcasting_backend/web/api/echo/__init__.py | 5 - cloudcasting_backend/web/api/echo/schema.py | 7 - cloudcasting_backend/web/api/echo/views.py | 18 - .../web/api/monitoring/__init__.py | 5 - .../web/api/monitoring/views.py | 12 - cloudcasting_backend/web/api/router.py | 4 +- deploy/docker-compose.dev.yml | 10 - deploy/docker-compose.otlp.yml | 23 - deploy/otel-collector-config.yml | 33 -- tests/test_auth.py | 0 tests/test_echo.py | 21 - tests/test_s3_downloader.py | 465 ++++++++++++++++++ 13 files changed, 466 insertions(+), 139 deletions(-) delete mode 100644 TODO delete mode 100644 cloudcasting_backend/web/api/echo/__init__.py delete mode 100644 cloudcasting_backend/web/api/echo/schema.py delete mode 100644 cloudcasting_backend/web/api/echo/views.py delete mode 100644 cloudcasting_backend/web/api/monitoring/__init__.py delete mode 100644 cloudcasting_backend/web/api/monitoring/views.py delete mode 100644 deploy/docker-compose.dev.yml delete mode 100644 deploy/docker-compose.otlp.yml delete mode 100644 deploy/otel-collector-config.yml delete mode 100644 tests/test_auth.py delete mode 100644 tests/test_echo.py create mode 100644 tests/test_s3_downloader.py diff --git a/TODO b/TODO deleted file mode 100644 index 4b453e7..0000000 --- a/TODO +++ /dev/null @@ -1,2 +0,0 @@ -- make the layers rout without the pred name -- auto0 ofc \ No newline at end of file diff --git a/cloudcasting_backend/web/api/echo/__init__.py b/cloudcasting_backend/web/api/echo/__init__.py deleted file mode 100644 index 13f404c..0000000 --- a/cloudcasting_backend/web/api/echo/__init__.py +++ /dev/null @@ -1,5 +0,0 @@ -"""Echo API.""" - -from cloudcasting_backend.web.api.echo.views import router - -__all__ = ["router"] diff --git a/cloudcasting_backend/web/api/echo/schema.py b/cloudcasting_backend/web/api/echo/schema.py deleted file mode 100644 index f408bc2..0000000 --- a/cloudcasting_backend/web/api/echo/schema.py +++ /dev/null @@ -1,7 +0,0 @@ -from pydantic import BaseModel - - -class Message(BaseModel): - """Simple message model.""" - - message: str diff --git a/cloudcasting_backend/web/api/echo/views.py b/cloudcasting_backend/web/api/echo/views.py deleted file mode 100644 index 05fa838..0000000 --- a/cloudcasting_backend/web/api/echo/views.py +++ /dev/null @@ -1,18 +0,0 @@ -from fastapi import APIRouter - -from cloudcasting_backend.web.api.echo.schema import Message - -router = APIRouter() - - -@router.post("/", response_model=Message) -async def send_echo_message( - incoming_message: Message, -) -> Message: - """ - Sends echo back to user. - - :param incoming_message: incoming message. - :returns: message same as the incoming. - """ - return incoming_message diff --git a/cloudcasting_backend/web/api/monitoring/__init__.py b/cloudcasting_backend/web/api/monitoring/__init__.py deleted file mode 100644 index 5a0e304..0000000 --- a/cloudcasting_backend/web/api/monitoring/__init__.py +++ /dev/null @@ -1,5 +0,0 @@ -"""API for checking project status.""" - -from cloudcasting_backend.web.api.monitoring.views import router - -__all__ = ["router"] diff --git a/cloudcasting_backend/web/api/monitoring/views.py b/cloudcasting_backend/web/api/monitoring/views.py deleted file mode 100644 index 1b36caf..0000000 --- a/cloudcasting_backend/web/api/monitoring/views.py +++ /dev/null @@ -1,12 +0,0 @@ -from fastapi import APIRouter - -router = APIRouter() - - -@router.get("/health") -def health_check() -> None: - """ - Checks the health of a project. - - It returns 200 if the project is healthy. - """ diff --git a/cloudcasting_backend/web/api/router.py b/cloudcasting_backend/web/api/router.py index dd683da..d3bf7b3 100644 --- a/cloudcasting_backend/web/api/router.py +++ b/cloudcasting_backend/web/api/router.py @@ -1,8 +1,6 @@ from fastapi.routing import APIRouter -from cloudcasting_backend.web.api import cloudcasting, echo, monitoring +from cloudcasting_backend.web.api import cloudcasting api_router = APIRouter() -api_router.include_router(monitoring.router) -api_router.include_router(echo.router, prefix="/echo", tags=["echo"]) api_router.include_router(cloudcasting.router, tags=["cloudcasting"]) diff --git a/deploy/docker-compose.dev.yml b/deploy/docker-compose.dev.yml deleted file mode 100644 index d436d7c..0000000 --- a/deploy/docker-compose.dev.yml +++ /dev/null @@ -1,10 +0,0 @@ -services: - api: - ports: - # Exposes application port. - - "8000:8000" - build: - context: . - volumes: - # Adds current directory as volume. - - .:/app/src/ diff --git a/deploy/docker-compose.otlp.yml b/deploy/docker-compose.otlp.yml deleted file mode 100644 index 6fb5343..0000000 --- a/deploy/docker-compose.otlp.yml +++ /dev/null @@ -1,23 +0,0 @@ -services: - api: - environment: - # Adds opentelemetry endpoint. - CLOUDCASTING_BACKEND_OPENTELEMETRY_ENDPOINT: "http://otel-collector:4317" - - otel-collector: - image: otel/opentelemetry-collector-contrib:0.53.0 - volumes: - # Adds config for opentelemetry. - - ./deploy/otel-collector-config.yml:/config.yml - command: --config config.yml - ports: - # Collector's endpoint - - "4317:4317" - - jaeger: - image: jaegertracing/all-in-one:1.35 - hostname: jaeger - ports: - # Jaeger UI - - 16686:16686 - diff --git a/deploy/otel-collector-config.yml b/deploy/otel-collector-config.yml deleted file mode 100644 index 6220935..0000000 --- a/deploy/otel-collector-config.yml +++ /dev/null @@ -1,33 +0,0 @@ -# Receives all info with OpenTelemetry protocol. -receivers: - otlp: - protocols: - grpc: - http: - -# Batch all spans. -processors: - batch: - -exporters: - # Exports spans to log. - logging: - logLevel: info - - # Exports spans to jaeger. - jaeger: - endpoint: "jaeger:14250" - tls: - insecure: true - -extensions: - health_check: - pprof: - -service: - extensions: [health_check, pprof] - pipelines: - traces: - receivers: [otlp] - processors: [batch] - exporters: [logging, jaeger] diff --git a/tests/test_auth.py b/tests/test_auth.py deleted file mode 100644 index e69de29..0000000 diff --git a/tests/test_echo.py b/tests/test_echo.py deleted file mode 100644 index 701b5de..0000000 --- a/tests/test_echo.py +++ /dev/null @@ -1,21 +0,0 @@ -import uuid - -import pytest -from fastapi import FastAPI -from httpx import AsyncClient -from starlette import status - - -@pytest.mark.anyio -async def test_echo(fastapi_app: FastAPI, client: AsyncClient) -> None: - """ - Tests that echo route works. - - :param fastapi_app: current application. - :param client: client for the app. - """ - url = fastapi_app.url_path_for("send_echo_message") - message = uuid.uuid4().hex - response = await client.post(url, json={"message": message}) - assert response.status_code == status.HTTP_200_OK - assert response.json()["message"] == message diff --git a/tests/test_s3_downloader.py b/tests/test_s3_downloader.py new file mode 100644 index 0000000..0dc7493 --- /dev/null +++ b/tests/test_s3_downloader.py @@ -0,0 +1,465 @@ +""" +Tests for s3_downloader module functions including conversion functions, +satellite detection functions, timestamp handling, and local time functions. +""" + +import datetime +import os +import tempfile +from pathlib import Path +from unittest.mock import MagicMock, Mock, patch + +import numpy as np +import pytest +import xarray as xr +from botocore.exceptions import ClientError + +from cloudcasting_backend.services.s3_downloader import ( + GEOTIFF_STORAGE_PATH, + S3_ZARR_PREFIX, + _TIMESTAMP_FILE, + convert_zarr_to_geotiffs, + extract_satellite_info, + get_current_forecast_folder, + get_download_status, + get_local_timestamp, + get_s3_timestamp, + parse_orbital_parameters, + save_to_geotiff, + trigger_background_download, +) + + +class TestConversionFunctions: + """Test suite for data conversion functions.""" + + def test_save_to_geotiff_success(self): + """Test successful GeoTIFF file creation.""" + with tempfile.TemporaryDirectory() as temp_dir: + # Create test data + data = np.random.rand(10, 10).astype(np.float32) + lat_grid = np.linspace(50, 60, 10) + lon_grid = np.linspace(-10, 0, 10) + lat_grid, lon_grid = np.meshgrid(lat_grid, lon_grid) + + filename = os.path.join(temp_dir, "test.tif") + + # Test the function + save_to_geotiff(filename, data, lat_grid, lon_grid) + + # Verify file was created + assert os.path.exists(filename) + + # Verify file can be opened with rasterio + import rasterio + with rasterio.open(filename) as src: + assert src.count == 1 + assert src.crs.to_epsg() == 4326 + assert src.shape == data.shape + + def test_save_to_geotiff_with_nodata(self): + """Test GeoTIFF creation with custom nodata value.""" + with tempfile.TemporaryDirectory() as temp_dir: + data = np.full((5, 5), -999.0, dtype=np.float32) + lat_grid = np.linspace(45, 55, 5) + lon_grid = np.linspace(-5, 5, 5) + lat_grid, lon_grid = np.meshgrid(lat_grid, lon_grid) + + filename = os.path.join(temp_dir, "test_nodata.tif") + + save_to_geotiff(filename, data, lat_grid, lon_grid, nodata=-999.0) + + assert os.path.exists(filename) + + import rasterio + with rasterio.open(filename) as src: + assert src.nodata == -999.0 + + @patch('cloudcasting_backend.services.s3_downloader.log') + def test_save_to_geotiff_error_handling(self, mock_log): + """Test error handling in save_to_geotiff.""" + # Invalid path should trigger error + data = np.random.rand(5, 5) + lat_grid = np.linspace(45, 55, 5) + lon_grid = np.linspace(-5, 5, 5) + lat_grid, lon_grid = np.meshgrid(lat_grid, lon_grid) + + invalid_filename = "/invalid/path/test.tif" + + save_to_geotiff(invalid_filename, data, lat_grid, lon_grid) + + # Should log an error + mock_log.opt.assert_called() + + @patch('cloudcasting_backend.services.s3_downloader.xr.open_zarr') + @patch('cloudcasting_backend.services.s3_downloader.extract_satellite_info') + @patch('cloudcasting_backend.services.s3_downloader.save_to_geotiff') + def test_convert_zarr_to_geotiffs_success(self, mock_save, mock_extract, mock_open_zarr): + """Test successful conversion from Zarr to GeoTIFFs.""" + # Mock dataset + mock_ds = Mock() + mock_ds.x_geostationary.values = np.linspace(-1000000, 1000000, 10) + mock_ds.y_geostationary.values = np.linspace(-1000000, 1000000, 10) + + # Mock the variable accessor properly + mock_variable = Mock() + mock_variable.values = ["variable1", "variable2"] + mock_ds.__getitem__ = Mock(return_value=mock_variable) + + mock_ds.step.values = [0, 1, 2] + mock_ds.sat_pred.isel.return_value.values = np.random.rand(10, 10) + mock_ds.close = Mock() + + mock_open_zarr.return_value = mock_ds + mock_extract.return_value = {"longitude": 9.5, "height": 35785831.0} + + with tempfile.TemporaryDirectory() as temp_dir: + zarr_path = os.path.join(temp_dir, "test.zarr") + os.makedirs(zarr_path) + output_dir = os.path.join(temp_dir, "output") + + convert_zarr_to_geotiffs(zarr_path, output_dir) + + # Verify mocks were called + mock_open_zarr.assert_called_once_with(zarr_path) + mock_extract.assert_called_once_with(mock_ds) + assert mock_save.call_count > 0 + + @patch('cloudcasting_backend.services.s3_downloader.log') + def test_convert_zarr_to_geotiffs_nonexistent_path(self, mock_log): + """Test error handling for non-existent Zarr path.""" + convert_zarr_to_geotiffs("/nonexistent/path", "/output") + + mock_log.error.assert_called() + + @patch('cloudcasting_backend.services.s3_downloader.xr.open_zarr') + @patch('cloudcasting_backend.services.s3_downloader.log') + def test_convert_zarr_to_geotiffs_open_error(self, mock_log, mock_open_zarr): + """Test error handling when Zarr file cannot be opened.""" + mock_open_zarr.side_effect = Exception("Cannot open Zarr") + + with tempfile.TemporaryDirectory() as temp_dir: + zarr_path = os.path.join(temp_dir, "test.zarr") + os.makedirs(zarr_path) + + convert_zarr_to_geotiffs(zarr_path, "/output") + + mock_log.opt.assert_called() + + +class TestSatelliteDetectionFunctions: + """Test suite for satellite detection and parameter parsing functions.""" + + def test_parse_orbital_parameters_valid_string(self): + """Test parsing valid orbital parameters string.""" + params_str = """ + satellite_actual_longitude: 9.5 + satellite_actual_altitude: 35785831.0 + satellite_nominal_longitude: 9.5 + projection_origin_longitude: 9.5 + """ + + result = parse_orbital_parameters(params_str) + + assert result["satellite_actual_longitude"] == 9.5 + assert result["satellite_actual_altitude"] == 35785831.0 + assert result["satellite_nominal_longitude"] == 9.5 + assert result["projection_origin_longitude"] == 9.5 + + def test_parse_orbital_parameters_mixed_types(self): + """Test parsing orbital parameters with mixed data types.""" + params_str = """ + satellite_name: Meteosat-11 + longitude: 9.5 + altitude: 35785831 + status: operational + """ + + result = parse_orbital_parameters(params_str) + + assert result["satellite_name"] == "Meteosat-11" + assert result["longitude"] == 9.5 + assert result["altitude"] == 35785831.0 + assert result["status"] == "operational" + + def test_parse_orbital_parameters_invalid_values(self): + """Test parsing orbital parameters with invalid numeric values.""" + params_str = """ + satellite_name: Meteosat-11 + invalid_number: not_a_number + longitude: 9.5 + """ + + result = parse_orbital_parameters(params_str) + + assert result["satellite_name"] == "Meteosat-11" + assert result["invalid_number"] == "not_a_number" # Should remain as string + assert result["longitude"] == 9.5 + + def test_extract_satellite_info_meteosat_11(self): + """Test satellite info extraction for Meteosat-11.""" + # Mock dataset with Meteosat-11 attributes + mock_ds = Mock() + mock_ds.sat_pred.attrs = { + "platform_name": "Meteosat-11" + } + + result = extract_satellite_info(mock_ds) + + assert result["longitude"] == 9.5 + assert result["height"] == 35785831.0 + + def test_extract_satellite_info_meteosat_10(self): + """Test satellite info extraction for Meteosat-10.""" + mock_ds = Mock() + mock_ds.sat_pred.attrs = { + "platform_name": "Meteosat-10" + } + + result = extract_satellite_info(mock_ds) + + assert result["longitude"] == 0.0 + assert result["height"] == 35785831.0 + + def test_extract_satellite_info_unknown_platform_with_orbital_params(self): + """Test satellite info extraction for unknown platform with orbital parameters.""" + mock_ds = Mock() + mock_ds.sat_pred.attrs = { + "platform_name": "Unknown-Satellite", + "orbital_parameters": """ + satellite_actual_longitude: 15.0 + satellite_actual_altitude: 36000000.0 + """ + } + + result = extract_satellite_info(mock_ds) + + assert result["longitude"] == 15.0 + assert result["height"] == 36000000.0 + + def test_extract_satellite_info_area_attribute(self): + """Test satellite info extraction using area attribute.""" + mock_ds = Mock() + mock_ds.sat_pred.attrs = { + "platform_name": "Custom-Satellite", + "area": "proj=geos lon_0: 12.0 h: 35786023.0 a=6378169.0" + } + + result = extract_satellite_info(mock_ds) + + assert result["longitude"] == 12.0 + assert result["height"] == 35786023.0 + + def test_extract_satellite_info_no_attributes(self): + """Test satellite info extraction with no relevant attributes.""" + mock_ds = Mock() + mock_ds.sat_pred.attrs = {} + + result = extract_satellite_info(mock_ds) + + # Should return default Meteosat-11 values + assert result["longitude"] == 9.6 + assert result["height"] == 35785831.0 + + def test_extract_satellite_info_no_sat_pred(self): + """Test satellite info extraction when sat_pred is missing.""" + mock_ds = Mock() + del mock_ds.sat_pred # Remove sat_pred attribute + + result = extract_satellite_info(mock_ds) + + # Should return default values + assert result["longitude"] == 9.6 + assert result["height"] == 35785831.0 + + +class TestTimestampFunctions: + """Test suite for timestamp-related functions.""" + + @patch('cloudcasting_backend.services.s3_downloader.boto3.client') + def test_get_s3_timestamp_success(self, mock_boto_client): + """Test successful S3 timestamp retrieval.""" + # Mock S3 client response + mock_client = Mock() + mock_boto_client.return_value = mock_client + + expected_time = datetime.datetime(2024, 1, 15, 12, 0, 0) + mock_client.head_object.return_value = { + "LastModified": expected_time + } + + result = get_s3_timestamp("test-bucket", "test-prefix/") + + assert result == expected_time + mock_client.head_object.assert_called_once_with( + Bucket="test-bucket", + Key="test-prefix/.zattrs" + ) + + @patch('cloudcasting_backend.services.s3_downloader.boto3.client') + @patch('cloudcasting_backend.services.s3_downloader.log') + def test_get_s3_timestamp_not_found(self, mock_log, mock_boto_client): + """Test S3 timestamp retrieval when object not found.""" + mock_client = Mock() + mock_boto_client.return_value = mock_client + + # Mock 404 error + error_response = {'Error': {'Code': '404'}} + mock_client.head_object.side_effect = ClientError(error_response, 'HeadObject') + + result = get_s3_timestamp("test-bucket", "test-prefix/") + + assert result is None + mock_log.error.assert_called() + + @patch('cloudcasting_backend.services.s3_downloader.boto3.client') + @patch('cloudcasting_backend.services.s3_downloader.log') + def test_get_s3_timestamp_other_error(self, mock_log, mock_boto_client): + """Test S3 timestamp retrieval with other AWS errors.""" + mock_client = Mock() + mock_boto_client.return_value = mock_client + + # Mock other error + error_response = {'Error': {'Code': '403'}} + mock_client.head_object.side_effect = ClientError(error_response, 'HeadObject') + + result = get_s3_timestamp("test-bucket", "test-prefix/") + + assert result is None + mock_log.opt.assert_called() + + def test_get_local_timestamp_success(self): + """Test successful local timestamp retrieval.""" + with tempfile.TemporaryDirectory() as temp_dir: + # Create a temporary timestamp file + timestamp_file = Path(temp_dir) / "timestamp.txt" + test_time = datetime.datetime(2024, 1, 15, 12, 0, 0) + timestamp_file.write_text(test_time.isoformat()) + + # Patch the global timestamp file path + with patch('cloudcasting_backend.services.s3_downloader._TIMESTAMP_FILE', timestamp_file): + result = get_local_timestamp() + + assert result == test_time + + def test_get_local_timestamp_file_not_found(self): + """Test local timestamp retrieval when file doesn't exist.""" + with tempfile.TemporaryDirectory() as temp_dir: + nonexistent_file = Path(temp_dir) / "nonexistent.txt" + + with patch('cloudcasting_backend.services.s3_downloader._TIMESTAMP_FILE', nonexistent_file): + result = get_local_timestamp() + + assert result is None + + @patch('cloudcasting_backend.services.s3_downloader.log') + def test_get_local_timestamp_invalid_format(self, mock_log): + """Test local timestamp retrieval with invalid timestamp format.""" + with tempfile.TemporaryDirectory() as temp_dir: + timestamp_file = Path(temp_dir) / "timestamp.txt" + timestamp_file.write_text("invalid-timestamp-format") + + with patch('cloudcasting_backend.services.s3_downloader._TIMESTAMP_FILE', timestamp_file): + result = get_local_timestamp() + + assert result is None + mock_log.opt.assert_called() + + +class TestAPIIntegrationFunctions: + """Test suite for API integration functions.""" + + @patch('cloudcasting_backend.services.s3_downloader.run_update_job') + @patch('cloudcasting_backend.services.s3_downloader._current_process') + def test_trigger_background_download_success(self, mock_current_process, mock_run_job): + """Test successful background download trigger.""" + mock_current_process.is_alive.return_value = False + mock_current_process.pid = 12345 + + with patch('cloudcasting_backend.services.s3_downloader._process_lock'): + result = trigger_background_download() + + assert result == "12345" + mock_run_job.assert_called_once() + + @patch('cloudcasting_backend.services.s3_downloader._current_process') + def test_trigger_background_download_already_running(self, mock_current_process): + """Test background download trigger when job already running.""" + mock_current_process.is_alive.return_value = True + mock_current_process.pid = 12345 + + with patch('cloudcasting_backend.services.s3_downloader._process_lock'): + with pytest.raises(RuntimeError, match="Download job already running"): + trigger_background_download() + + @patch('cloudcasting_backend.services.s3_downloader._current_process') + def test_get_download_status_running(self, mock_current_process): + """Test download status when job is running.""" + mock_current_process.is_alive.return_value = True + mock_current_process.pid = 12345 + + with patch('cloudcasting_backend.services.s3_downloader._process_lock'): + with patch('cloudcasting_backend.services.s3_downloader._TIMESTAMP_FILE') as mock_file: + mock_file.exists.return_value = True + mock_file.read_text.return_value = "2024-01-15T12:00:00" + + result = get_download_status() + + assert result["is_running"] is True + assert "Process 12345" in result["current_task"] + assert result["last_completed"] == "2024-01-15T12:00:00" + + @patch('cloudcasting_backend.services.s3_downloader._current_process', None) + def test_get_download_status_not_running(self): + """Test download status when no job is running.""" + with patch('cloudcasting_backend.services.s3_downloader._process_lock'): + with patch('cloudcasting_backend.services.s3_downloader._TIMESTAMP_FILE') as mock_file: + mock_file.exists.return_value = False + + result = get_download_status() + + assert result["is_running"] is False + assert result["current_task"] is None + assert result["last_completed"] is None + + def test_get_current_forecast_folder_exists(self): + """Test getting current forecast folder when it exists.""" + with tempfile.TemporaryDirectory() as temp_dir: + # Create some files in the directory + test_file = Path(temp_dir) / "test_file.txt" + test_file.write_text("test") + + with patch('cloudcasting_backend.services.s3_downloader.GEOTIFF_STORAGE_PATH', temp_dir): + result = get_current_forecast_folder() + + assert result == temp_dir + + def test_get_current_forecast_folder_empty(self): + """Test getting current forecast folder when it's empty.""" + with tempfile.TemporaryDirectory() as temp_dir: + with patch('cloudcasting_backend.services.s3_downloader.GEOTIFF_STORAGE_PATH', temp_dir): + result = get_current_forecast_folder() + + assert result is None + + def test_get_current_forecast_folder_not_exists(self): + """Test getting current forecast folder when it doesn't exist.""" + nonexistent_path = "/nonexistent/path" + + with patch('cloudcasting_backend.services.s3_downloader.GEOTIFF_STORAGE_PATH', nonexistent_path): + result = get_current_forecast_folder() + + assert result is None + + +class TestConstants: + """Test suite for module constants and configuration.""" + + def test_constants_defined(self): + """Test that required constants are properly defined.""" + assert GEOTIFF_STORAGE_PATH == "cloudcasting_backend/static/layers" + assert S3_ZARR_PREFIX == "cloudcasting_forecast/latest.zarr/" + + # Test that _TIMESTAMP_FILE is properly constructed + expected_timestamp_file = Path(GEOTIFF_STORAGE_PATH) / "_last_processed_timestamp.txt" + assert _TIMESTAMP_FILE == expected_timestamp_file From 12e435f318dcca5fccd088244bf38a3b17c0569f Mon Sep 17 00:00:00 2001 From: braddf Date: Thu, 21 Aug 2025 12:39:58 +0100 Subject: [PATCH 13/18] Update metadata file path from .zattrs to zarr.json --- cloudcasting_backend/services/s3_downloader.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/cloudcasting_backend/services/s3_downloader.py b/cloudcasting_backend/services/s3_downloader.py index 2b9e6ca..e9e8cae 100644 --- a/cloudcasting_backend/services/s3_downloader.py +++ b/cloudcasting_backend/services/s3_downloader.py @@ -344,7 +344,7 @@ def get_s3_timestamp(bucket_name: str, s3_prefix: str) -> Optional[datetime.date region_name=settings.s3_region_name, ) # A key that should always exist and represent the dataset's age - key_to_check = f"{s3_prefix.rstrip('/')}/.zattrs" + key_to_check = f"{s3_prefix.rstrip('/')}/zarr.json" response = s3_client.head_object(Bucket=bucket_name, Key=key_to_check) s3_time = response["LastModified"] log.info(f"S3 timestamp for '{key_to_check}' is {s3_time}") From efd7cc8ce6d02a61abcd7124c41612d640893f8c Mon Sep 17 00:00:00 2001 From: suvanbanerjee Date: Fri, 22 Aug 2025 00:32:06 +0530 Subject: [PATCH 14/18] add sentry and api to get timestamp --- .env.example | 116 +++ .github/workflows/tests.yml | 4 +- .pre-commit-config.yaml | 19 +- LICENSE | 21 + README.md | 259 +++++- cloudcasting_backend/log.py | 15 +- cloudcasting_backend/settings.py | 5 - .../web/api/cloudcasting/views.py | 99 +++ cloudcasting_backend/web/lifespan.py | 70 -- poetry.lock | 835 +++--------------- pyproject.toml | 7 +- tests/test_cloudcasting_backend.py | 20 + tests/test_s3_downloader.py | 259 +++--- 13 files changed, 774 insertions(+), 955 deletions(-) create mode 100644 LICENSE diff --git a/.env.example b/.env.example index e69de29..1623951 100644 --- a/.env.example +++ b/.env.example @@ -0,0 +1,116 @@ +# ============================================================================= +# CloudCasting Backend Environment Configuration +# ============================================================================= +# Copy this file to .env and customize the values for your environment + +# ============================================================================= +# Application Server Configuration +# ============================================================================= + +# Host interface to bind the server to +# Default: "0.0.0.0" (all interfaces) +# For local development, you might use "127.0.0.1" +CLOUDCASTING_BACKEND_HOST=0.0.0.0 + +# Port number for the application server +# Default: 8000 +CLOUDCASTING_BACKEND_PORT=8000 + +# Number of worker processes for uvicorn +# Default: 1 +# For production, increase based on CPU cores +CLOUDCASTING_BACKEND_WORKERS_COUNT=1 + +# Enable auto-reload for development +# Default: false +# Set to true for development to auto-restart on file changes +CLOUDCASTING_BACKEND_RELOAD=false + +# ============================================================================= +# Environment and Logging Configuration +# ============================================================================= + +# Current environment identifier +# Default: "dev" +# Options: "dev", "staging", "production", "pytest" +CLOUDCASTING_BACKEND_ENVIRONMENT=dev + +# Logging level +# Default: "INFO" +# Options: "NOTSET", "DEBUG", "INFO", "WARNING", "ERROR", "FATAL" +CLOUDCASTING_BACKEND_LOG_LEVEL=INFO + +# ============================================================================= +# Sentry Error Monitoring (Optional) +# ============================================================================= + +# Sentry DSN for error tracking and monitoring +# Default: null (disabled) +# Get this from your Sentry project settings +CLOUDCASTING_BACKEND_SENTRY_DSN= + +# Sentry sample rate for performance monitoring +# Default: 1.0 (100% sampling) +# Range: 0.0 to 1.0 (0% to 100%) +CLOUDCASTING_BACKEND_SENTRY_SAMPLE_RATE=1.0 + +# ============================================================================= +# AWS S3 Configuration (Required for cloudcasting data) +# ============================================================================= + +# S3 bucket containing the cloudcasting forecast data +# This bucket should contain zarr files under cloudcasting_forecast/latest.zarr/ +CLOUDCASTING_BACKEND_S3_BUCKET_NAME=your-bucket-name + +# AWS region where the S3 bucket is located +# Example: "us-east-1", "eu-west-1", etc. +CLOUDCASTING_BACKEND_S3_REGION_NAME=us-east-1 + +# AWS Access Key ID for S3 access +# Should have read permissions for the specified bucket +CLOUDCASTING_BACKEND_S3_ACCESS_KEY_ID=your-access-key-id + +# AWS Secret Access Key for S3 access +# Keep this secure and never commit to version control +CLOUDCASTING_BACKEND_S3_SECRET_ACCESS_KEY=your-secret-access-key + + +# ============================================================================= +# File Storage Paths (Optional - uses defaults if not specified) +# ============================================================================= + +# Path to store downloaded zarr files locally +# Default: "cloudcasting_backend/static/zarr_files" +# Can be absolute or relative path +CLOUDCASTING_BACKEND_ZARR_STORAGE_PATH=cloudcasting_backend/static/zarr_files + +# Path to store converted GeoTIFF layers +# Default: "cloudcasting_backend/static/layers" +# These files are served via the /static/ endpoint +CLOUDCASTING_BACKEND_GEOTIFF_STORAGE_PATH=cloudcasting_backend/static/layers + +# ============================================================================= +# Example Development Configuration +# ============================================================================= +# Uncomment and modify these for local development: + +# CLOUDCASTING_BACKEND_HOST=127.0.0.1 +# CLOUDCASTING_BACKEND_PORT=8000 +# CLOUDCASTING_BACKEND_RELOAD=true +# CLOUDCASTING_BACKEND_ENVIRONMENT=dev +# CLOUDCASTING_BACKEND_LOG_LEVEL=DEBUG +# CLOUDCASTING_BACKEND_WORKERS_COUNT=1 + +# ============================================================================= +# Example Production Configuration +# ============================================================================= +# For production deployment: + +# CLOUDCASTING_BACKEND_HOST=0.0.0.0 +# CLOUDCASTING_BACKEND_PORT=8000 +# CLOUDCASTING_BACKEND_WORKERS_COUNT=4 +# CLOUDCASTING_BACKEND_RELOAD=false +# CLOUDCASTING_BACKEND_ENVIRONMENT=production +# CLOUDCASTING_BACKEND_LOG_LEVEL=INFO +# CLOUDCASTING_BACKEND_SENTRY_DSN=https://your-sentry-dsn@sentry.io/project-id +# CLOUDCASTING_BACKEND_SENTRY_SAMPLE_RATE=0.1 diff --git a/.github/workflows/tests.yml b/.github/workflows/tests.yml index c2051dc..f6b28e6 100644 --- a/.github/workflows/tests.yml +++ b/.github/workflows/tests.yml @@ -8,8 +8,6 @@ jobs: matrix: cmd: - black - - ruff - - mypy runs-on: ubuntu-latest steps: - uses: actions/checkout@v4 @@ -35,7 +33,7 @@ jobs: with: python-version: '3.11' - name: Update docker-compose - uses: KengoTODA/actions-setup-docker-compose@v1 + uses: docker/setup-buildx-action@v3 with: version: "2.28.0" - name: run tests diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml index c1a505c..b382ae1 100644 --- a/.pre-commit-config.yaml +++ b/.pre-commit-config.yaml @@ -9,21 +9,4 @@ repos: name: Format with Black entry: poetry run black language: system - types: [python] - - - id: ruff - name: Check with Ruff - entry: poetry run ruff - language: system - pass_filenames: false - always_run: true - args: ["check", "cloudcasting_backend", "tests", "--fix"] - - - id: mypy - name: Validate types with MyPy - entry: poetry run mypy - language: system - types: [python] - pass_filenames: false - args: - - "cloudcasting_backend" + types: [python] \ No newline at end of file diff --git a/LICENSE b/LICENSE new file mode 100644 index 0000000..520ad66 --- /dev/null +++ b/LICENSE @@ -0,0 +1,21 @@ +MIT License + +Copyright (c) 2021 Open Climate Fix + +Permission is hereby granted, free of charge, to any person obtaining a copy +of this software and associated documentation files (the "Software"), to deal +in the Software without restriction, including without limitation the rights +to use, copy, modify, merge, publish, distribute, sublicense, and/or sell +copies of the Software, and to permit persons to whom the Software is +furnished to do so, subject to the following conditions: + +The above copyright notice and this permission notice shall be included in all +copies or substantial portions of the Software. + +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, +FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE +AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER +LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, +OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE +SOFTWARE. \ No newline at end of file diff --git a/README.md b/README.md index e77fc5e..29ee5d2 100644 --- a/README.md +++ b/README.md @@ -1,3 +1,258 @@ -# CloudCasting Backend +# CloudCasting Backend API -This is the API backend for the CloudCasting project. +[![ease of contribution: easy](https://img.shields.io/badge/ease%20of%20contribution:%20easy-32bd50)](https://github.com/openclimatefix#how-easy-is-it-to-get-involved) + +[![All Contributors](https://img.shields.io/badge/all_contributors-1-orange.svg?style=flat-square)](#contributors-) + + +A FastAPI-based backend service for processing and serving satellite cloud forecasting data. This API provides endpoints for downloading cloudcasting data from S3, converting Zarr files to GeoTIFF format, and serving the processed data for visualization in mapping applications. + +## Features + +- **Satellite Data Processing**: Downloads and processes cloudcasting forecast data from S3 +- **Format Conversion**: Converts Zarr format to GeoTIFF for mapping applications +- **Background Processing**: Asynchronous data download and conversion +- **RESTful API**: Clean API endpoints for data access and status monitoring +- **Static File Serving**: Direct access to processed GeoTIFF layers +- **Data Information**: Detailed metadata about processed data and timing information + +## Running the service + +### Configuration + +The application is configured via environment variables. For the complete list of environment variables, see the [`.env.example`](.env.example) file. + +**Required Environment Variables:** +```bash +# S3 Configuration (Required) +CLOUDCASTING_BACKEND_S3_BUCKET_NAME=your-bucket-name +CLOUDCASTING_BACKEND_S3_REGION_NAME=us-east-1 +CLOUDCASTING_BACKEND_S3_ACCESS_KEY_ID=your-access-key-id +CLOUDCASTING_BACKEND_S3_SECRET_ACCESS_KEY=your-secret-access-key +``` + +Copy `.env.example` to `.env` and configure the values for your environment: +```bash +$ cp .env.example .env +# Edit .env with your configuration +``` + +### Using Docker + +Build and run locally using Docker: + + +For development with automatic reload: + +```sh +$ docker-compose up --build +``` + +### Using python(v3.11.x) + +Clone the repository and create a new virtual environment with your favorite environment manager. +Install the dependencies with Poetry: + +```bash +$ poetry install +``` + +The service is then runnable via the command: +```bash +$ poetry run python -m cloudcasting_backend +``` + +You should see the following output: + +```shell +INFO: Started server process [87312] +INFO: Waiting for application startup. +INFO: Application startup complete. +INFO: Uvicorn running on http://0.0.0.0:8000 (Press CTRL+C to quit) +``` + +The API should then be accessible at `http://localhost:8000`, +and the docs at `http://localhost:8000/api/docs`. + +## API Endpoints + +### Cloudcasting Data + +- `GET /api/cloudcasting/status` - Get status of cloudcasting data availability +- `POST /api/cloudcasting/trigger-download` - Trigger background download of latest data +- `GET /api/cloudcasting/download-status` - Get current status of background download processes +- `GET /api/cloudcasting/data-info` - Get detailed information about processed data including timing and metadata +- `GET /api/cloudcasting/layers` - Get list of available channels and forecast steps +- `GET /api/cloudcasting/layers/{channel}/{step}.tif` - Download specific GeoTIFF layer + +### Static Files + +- `GET /static/*` - Access processed GeoTIFF files and other static content + +### Data Information Endpoint + +The `/api/cloudcasting/data-info` endpoint provides comprehensive information about the processed data: + +```json +{ + "file_exists": true, + "forecast_steps": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12], + "variables": ["cloud_mask", "temperature", "humidity"], + "file_size_mb": 145.23, + "last_modified": "2025-08-21T14:30:00.123456", + "time_range": { + "last_processed": "2025-08-21T14:30:00.123456", + "data_source": "S3 download timestamp", + "total_forecast_steps": 13, + "available_variables": 3 + } +} +``` + +This endpoint: +- Reports on processed GeoTIFF layers (not temporary zarr files) +- Uses timestamps from the data processing pipeline +- Provides metadata for frontend applications +- Enables monitoring of data freshness and availability + +## Development + +Clone the repository and create a new environment with your favorite environment manager. +Install all the dependencies including development tools: + +```bash +$ poetry install +``` + +You can run the service with auto-reload for development: +```bash +$ CLOUDCASTING_BACKEND_RELOAD=true poetry run python -m cloudcasting_backend +``` + +### Code Quality + +This project uses Black for code formatting and pytest for testing. + +Install pre-commit hooks: +```bash +$ poetry run pre-commit install +``` + +Run code formatting: +```bash +$ poetry run black cloudcasting_backend tests +``` + +## Running Tests + +Make sure you have the development dependencies installed: + +```bash +$ poetry install +``` + +Then run the tests using pytest: +```bash +$ poetry run pytest +``` + +For test coverage: +```bash +$ poetry run pytest --cov=cloudcasting_backend --cov-report=html +``` + +## Project Structure + +``` +cloudcasting_backend/ +├── __init__.py +├── __main__.py # Application entry point +├── settings.py # Configuration management +├── log.py # Logging configuration +├── services/ # Business logic services +│ ├── __init__.py +│ └── s3_downloader.py # S3 data processing service +├── web/ # Web application layer +│ ├── __init__.py +│ ├── application.py # FastAPI app configuration +│ ├── lifespan.py # Application lifecycle management +│ └── api/ # API routes +│ ├── __init__.py +│ ├── router.py # Main API router +│ └── cloudcasting/ +│ ├── __init__.py +│ └── views.py # Cloudcasting endpoints +└── static/ # Static file storage + ├── layers/ # Processed GeoTIFF files (served by API) + └── zarr_files/ # Downloaded Zarr files (temporary/intermediate) +``` + +### Architecture Notes + +- **Zarr files**: Temporary intermediate data, not accessed by API views +- **GeoTIFF layers**: Final processed output, served by API endpoints +- **Clean separation**: Views only access processed data and metadata files +- **Timestamp tracking**: `_last_processed_timestamp.txt` records processing completion + +## Data Processing Pipeline + +1. **Download**: Fetch latest cloudcasting forecast data from S3 (Zarr format) +2. **Projection**: Transform geostationary satellite coordinates to WGS84 +3. **Interpolation**: Resample data to regular lat/lon grid +4. **Conversion**: Save as GeoTIFF files organized by variable and forecast step +5. **Timestamping**: Record processing completion time in metadata file +6. **Serving**: Make processed files available via REST API (zarr files remain temporary) + +## Environment Variables + +| Variable | Default | Description | +|----------|---------|-------------| +| `CLOUDCASTING_BACKEND_HOST` | `0.0.0.0` | Server host interface | +| `CLOUDCASTING_BACKEND_PORT` | `8000` | Server port | +| `CLOUDCASTING_BACKEND_WORKERS_COUNT` | `1` | Number of worker processes | +| `CLOUDCASTING_BACKEND_RELOAD` | `false` | Enable auto-reload for development | +| `CLOUDCASTING_BACKEND_LOG_LEVEL` | `INFO` | Logging level | +| `CLOUDCASTING_BACKEND_ENVIRONMENT` | `dev` | Environment identifier | +| `CLOUDCASTING_BACKEND_S3_BUCKET_NAME` | - | **Required**: S3 bucket name | +| `CLOUDCASTING_BACKEND_S3_REGION_NAME` | - | **Required**: AWS region | +| `CLOUDCASTING_BACKEND_S3_ACCESS_KEY_ID` | - | **Required**: AWS access key | +| `CLOUDCASTING_BACKEND_S3_SECRET_ACCESS_KEY` | - | **Required**: AWS secret key | +| `CLOUDCASTING_BACKEND_SENTRY_DSN` | - | Optional: Sentry error tracking DSN | + +## Known Issues + +- Large dataset processing may require significant memory and processing time +- S3 access requires proper AWS credentials and permissions +- Some projections may have edge cases in coordinate transformation + +## License + +This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details. + +## Contributors ✨ + +Thanks goes to these wonderful people ([emoji key](https://allcontributors.org/docs/en/emoji-key)): + + + + + + + + + + +
Suvan Banerjee
Suvan Banerjee
💻
+ + + + + + +This project follows the [all-contributors](https://github.com/all-contributors/all-contributors) specification. Contributions of any kind welcome! + +--- + +*Part of the [Open Climate Fix](https://github.com/orgs/openclimatefix/people) community.* + +[![OCF Logo](https://cdn.prod.website-files.com/62d92550f6774db58d441cca/6324a2038936ecda71599a8b_OCF_Logo_black_trans.png)](https://openclimatefix.org) \ No newline at end of file diff --git a/cloudcasting_backend/log.py b/cloudcasting_backend/log.py index d5fb916..82e278e 100644 --- a/cloudcasting_backend/log.py +++ b/cloudcasting_backend/log.py @@ -3,7 +3,6 @@ from typing import Any, Union from loguru import logger -from opentelemetry.trace import INVALID_SPAN, INVALID_SPAN_CONTEXT, get_current_span from cloudcasting_backend.settings import settings @@ -46,8 +45,7 @@ def record_formatter(record: dict[str, Any]) -> str: # pragma: no cover """ Formats the record. - This function formats message - by adding extra trace information to the record. + This function formats message with timestamp and level. :param record: record information. :return: format string. @@ -55,21 +53,10 @@ def record_formatter(record: dict[str, Any]) -> str: # pragma: no cover log_format = ( "{time:YYYY-MM-DD HH:mm:ss.SSS} " "| {level: <8} " - "| trace_id={extra[trace_id]} " - "| span_id={extra[span_id]} " "| {name}:{function}:{line} " "- {message}\n" ) - span = get_current_span() - record["extra"]["span_id"] = 0 - record["extra"]["trace_id"] = 0 - if span != INVALID_SPAN: - span_context = span.get_span_context() - if span_context != INVALID_SPAN_CONTEXT: - record["extra"]["span_id"] = format(span_context.span_id, "016x") - record["extra"]["trace_id"] = format(span_context.trace_id, "032x") - if record["exception"]: log_format = f"{log_format}{{exception}}" diff --git a/cloudcasting_backend/settings.py b/cloudcasting_backend/settings.py index d7810b4..1d3b1a0 100644 --- a/cloudcasting_backend/settings.py +++ b/cloudcasting_backend/settings.py @@ -43,16 +43,11 @@ class Settings(BaseSettings): sentry_dsn: Optional[str] = None sentry_sample_rate: float = 1.0 - # Grpc endpoint for opentelemetry. - # E.G. http://localhost:4317 - opentelemetry_endpoint: Optional[str] = None - # S3 configuration for cloudcasting data - dont worry about the empty string here, it is initialized from .env s3_bucket_name: str = "" s3_region_name: str = "" s3_access_key_id: str = "" s3_secret_access_key: str = "" - s3_download_interval: int = 30 # Path to store downloaded zarr files zarr_storage_path: str = "cloudcasting_backend/static/zarr_files" diff --git a/cloudcasting_backend/web/api/cloudcasting/views.py b/cloudcasting_backend/web/api/cloudcasting/views.py index 9436cb0..67fd2e1 100644 --- a/cloudcasting_backend/web/api/cloudcasting/views.py +++ b/cloudcasting_backend/web/api/cloudcasting/views.py @@ -1,8 +1,11 @@ """API endpoints for cloudcasting data.""" +import logging +from datetime import datetime from pathlib import Path from typing import List, Optional +import sentry_sdk from fastapi import APIRouter, HTTPException, status from fastapi.responses import FileResponse from pydantic import BaseModel @@ -46,6 +49,19 @@ class DownloadStatusResponse(BaseModel): error: Optional[str] = None +class ProcessedDataInfoResponse(BaseModel): + """Response model for processed data information.""" + + file_exists: bool + init_time: Optional[str] = None + forecast_steps: Optional[List[int]] = None + variables: Optional[List[str]] = None + file_size_mb: Optional[float] = None + last_modified: Optional[str] = None + time_range: Optional[dict] = None + error: Optional[str] = None + + @router.get("/status", response_model=CloudcastingResponse) async def get_cloudcasting_status() -> CloudcastingResponse: """ @@ -146,6 +162,89 @@ async def get_available_layers() -> AvailableLayersResponse: ) +@router.get("/data-info", response_model=ProcessedDataInfoResponse) +async def get_processed_data_info() -> ProcessedDataInfoResponse: + """ + Get detailed information about the processed data including time data. + + Returns metadata about the latest processed data including: + - Last processed timestamp from the update logic + - Available variables and steps (from processed GeoTIFF layers) + - Processing status information + """ + # Path to the timestamp file used by the update logic + timestamp_file = ( + Path(settings.geotiff_storage_path) / "_last_processed_timestamp.txt" + ) + layers_path = Path(settings.geotiff_storage_path) + + # Check if we have any processed data + if not layers_path.exists() or not any(layers_path.iterdir()): + return ProcessedDataInfoResponse( + file_exists=False, error="No processed data available yet" + ) + + try: + # Get the last processed timestamp from the update logic + last_processed_time = None + if timestamp_file.exists(): + try: + timestamp_content = timestamp_file.read_text().strip() + last_processed_time = timestamp_content + except Exception as e: + logging.warning(f"Could not read timestamp file: {e}") + + # Get available variables and steps from the processed GeoTIFF layers + variables = [] + all_steps = set() + + for channel_dir in layers_path.iterdir(): + if channel_dir.is_dir() and not channel_dir.name.startswith("_"): + variables.append(channel_dir.name) + + # Get available steps from this channel + for tif_file in channel_dir.glob("*.tif"): + if tif_file.stem.isdigit(): + all_steps.add(int(tif_file.stem)) + + steps = sorted(list(all_steps)) + + # Calculate total size of processed layers + file_size_mb = None + try: + total_size = sum( + f.stat().st_size for f in layers_path.rglob("*.tif") if f.is_file() + ) + file_size_mb = round(total_size / (1024 * 1024), 2) + except Exception as e: + logging.warning(f"Could not calculate file size: {e}") + + # Create time range info using the timestamp from the update logic + time_range = None + if last_processed_time: + time_range = { + "last_processed": last_processed_time, + "data_source": "S3 download timestamp", + "total_forecast_steps": len(steps) if steps else 0, + "available_variables": len(variables), + } + + return ProcessedDataInfoResponse( + file_exists=True, + init_time=None, # Not available from processed layers (zarr is temporary) + forecast_steps=steps, + variables=variables, + file_size_mb=file_size_mb, + last_modified=last_processed_time, + time_range=time_range, + ) + + except Exception as e: + return ProcessedDataInfoResponse( + file_exists=False, error=f"Error reading processed data: {str(e)}" + ) + + @router.get("/layers/{channel}/{step}.tif") async def get_tif_layer(channel: str, step: int): """ diff --git a/cloudcasting_backend/web/lifespan.py b/cloudcasting_backend/web/lifespan.py index 464a0f8..d592cae 100644 --- a/cloudcasting_backend/web/lifespan.py +++ b/cloudcasting_backend/web/lifespan.py @@ -2,78 +2,10 @@ from typing import AsyncGenerator from fastapi import FastAPI -from opentelemetry.exporter.otlp.proto.grpc.trace_exporter import OTLPSpanExporter -from opentelemetry.instrumentation.fastapi import FastAPIInstrumentor -from opentelemetry.sdk.resources import ( - DEPLOYMENT_ENVIRONMENT, - SERVICE_NAME, - TELEMETRY_SDK_LANGUAGE, - Resource, -) -from opentelemetry.sdk.trace import TracerProvider -from opentelemetry.sdk.trace.export import BatchSpanProcessor -from opentelemetry.trace import set_tracer_provider from cloudcasting_backend.settings import settings -def setup_opentelemetry(app: FastAPI) -> None: # pragma: no cover - """ - Enables opentelemetry instrumentation. - - :param app: current application. - """ - if not settings.opentelemetry_endpoint: - return - - tracer_provider = TracerProvider( - resource=Resource( - attributes={ - SERVICE_NAME: "cloudcasting_backend", - TELEMETRY_SDK_LANGUAGE: "python", - DEPLOYMENT_ENVIRONMENT: settings.environment, - }, - ), - ) - - tracer_provider.add_span_processor( - BatchSpanProcessor( - OTLPSpanExporter( - endpoint=settings.opentelemetry_endpoint, - insecure=True, - ), - ), - ) - - excluded_endpoints = [ - app.url_path_for("health_check"), - app.url_path_for("openapi"), - app.url_path_for("swagger_ui_html"), - app.url_path_for("swagger_ui_redirect"), - app.url_path_for("redoc_html"), - ] - - FastAPIInstrumentor().instrument_app( - app, - tracer_provider=tracer_provider, - excluded_urls=",".join(excluded_endpoints), - ) - - set_tracer_provider(tracer_provider=tracer_provider) - - -def stop_opentelemetry(app: FastAPI) -> None: # pragma: no cover - """ - Disables opentelemetry instrumentation. - - :param app: current application. - """ - if not settings.opentelemetry_endpoint: - return - - FastAPIInstrumentor().uninstrument_app(app) - - @asynccontextmanager async def lifespan_setup( app: FastAPI, @@ -89,8 +21,6 @@ async def lifespan_setup( """ app.middleware_stack = None - setup_opentelemetry(app) app.middleware_stack = app.build_middleware_stack() yield - stop_opentelemetry(app) diff --git a/poetry.lock b/poetry.lock index b3a5237..fed76b7 100644 --- a/poetry.lock +++ b/poetry.lock @@ -50,21 +50,6 @@ doc = ["Sphinx (>=8.2,<9.0)", "packaging", "sphinx-autodoc-typehints (>=1.2.0)", test = ["anyio[trio]", "blockbuster (>=1.5.23)", "coverage[toml] (>=7)", "exceptiongroup (>=1.2.0)", "hypothesis (>=4.0)", "psutil (>=5.9)", "pytest (>=7.0)", "trustme", "truststore (>=0.9.1) ; python_version >= \"3.10\"", "uvloop (>=0.21) ; platform_python_implementation == \"CPython\" and platform_system != \"Windows\" and python_version < \"3.14\""] trio = ["trio (>=0.26.1)"] -[[package]] -name = "asgiref" -version = "3.8.1" -description = "ASGI specs, helper code, and adapters" -optional = false -python-versions = ">=3.8" -groups = ["main"] -files = [ - 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a/pyproject.toml b/pyproject.toml index e6f182d..350a8a3 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -20,12 +20,7 @@ yarl = "^1.18.3" ujson = "^5.10.0" httptools = "^0.6.4" pymongo = "^4.10.1" -sentry-sdk = "^2.19.2" -opentelemetry-api = "^1.29.0" -opentelemetry-sdk = "^1.29.0" -opentelemetry-exporter-otlp = "^1.29.0" -opentelemetry-instrumentation = "^0.50b0" -opentelemetry-instrumentation-fastapi = "^0.50b0" +sentry-sdk = {extras = ["fastapi"], version = "^2.35.0"} loguru = "^0.7.3" boto3 = "^1.38.41" tomli = "^2.0.1" diff --git a/tests/test_cloudcasting_backend.py b/tests/test_cloudcasting_backend.py index 1afa908..6bfea9a 100644 --- a/tests/test_cloudcasting_backend.py +++ b/tests/test_cloudcasting_backend.py @@ -15,3 +15,23 @@ async def test_health(client: AsyncClient, fastapi_app: FastAPI) -> None: url = fastapi_app.url_path_for("health_check") response = await client.get(url) assert response.status_code == status.HTTP_200_OK + + +@pytest.mark.anyio +async def test_data_info_endpoint(client: AsyncClient, fastapi_app: FastAPI) -> None: + """ + Test the data-info endpoint. + + :param client: client for the app. + :param fastapi_app: current FastAPI application. + """ + response = await client.get("/api/cloudcasting/data-info") + assert response.status_code == status.HTTP_200_OK + + data = response.json() + assert "file_exists" in data + assert "forecast_steps" in data + assert "variables" in data + assert "file_size_mb" in data + assert "last_modified" in data + assert "time_range" in data diff --git a/tests/test_s3_downloader.py b/tests/test_s3_downloader.py index 0dc7493..f440c80 100644 --- a/tests/test_s3_downloader.py +++ b/tests/test_s3_downloader.py @@ -41,17 +41,18 @@ def test_save_to_geotiff_success(self): lat_grid = np.linspace(50, 60, 10) lon_grid = np.linspace(-10, 0, 10) lat_grid, lon_grid = np.meshgrid(lat_grid, lon_grid) - + filename = os.path.join(temp_dir, "test.tif") - + # Test the function save_to_geotiff(filename, data, lat_grid, lon_grid) - + # Verify file was created assert os.path.exists(filename) - + # Verify file can be opened with rasterio import rasterio + with rasterio.open(filename) as src: assert src.count == 1 assert src.crs.to_epsg() == 4326 @@ -64,18 +65,19 @@ def test_save_to_geotiff_with_nodata(self): lat_grid = np.linspace(45, 55, 5) lon_grid = np.linspace(-5, 5, 5) lat_grid, lon_grid = np.meshgrid(lat_grid, lon_grid) - + filename = os.path.join(temp_dir, "test_nodata.tif") - + save_to_geotiff(filename, data, lat_grid, lon_grid, nodata=-999.0) - + assert os.path.exists(filename) - + import rasterio + with rasterio.open(filename) as src: assert src.nodata == -999.0 - @patch('cloudcasting_backend.services.s3_downloader.log') + @patch("cloudcasting_backend.services.s3_downloader.log") def test_save_to_geotiff_error_handling(self, mock_log): """Test error handling in save_to_geotiff.""" # Invalid path should trigger error @@ -83,67 +85,69 @@ def test_save_to_geotiff_error_handling(self, mock_log): lat_grid = np.linspace(45, 55, 5) lon_grid = np.linspace(-5, 5, 5) lat_grid, lon_grid = np.meshgrid(lat_grid, lon_grid) - + invalid_filename = "/invalid/path/test.tif" - + save_to_geotiff(invalid_filename, data, lat_grid, lon_grid) - + # Should log an error mock_log.opt.assert_called() - @patch('cloudcasting_backend.services.s3_downloader.xr.open_zarr') - @patch('cloudcasting_backend.services.s3_downloader.extract_satellite_info') - @patch('cloudcasting_backend.services.s3_downloader.save_to_geotiff') - def test_convert_zarr_to_geotiffs_success(self, mock_save, mock_extract, mock_open_zarr): + @patch("cloudcasting_backend.services.s3_downloader.xr.open_zarr") + @patch("cloudcasting_backend.services.s3_downloader.extract_satellite_info") + @patch("cloudcasting_backend.services.s3_downloader.save_to_geotiff") + def test_convert_zarr_to_geotiffs_success( + self, mock_save, mock_extract, mock_open_zarr + ): """Test successful conversion from Zarr to GeoTIFFs.""" # Mock dataset mock_ds = Mock() mock_ds.x_geostationary.values = np.linspace(-1000000, 1000000, 10) mock_ds.y_geostationary.values = np.linspace(-1000000, 1000000, 10) - + # Mock the variable accessor properly mock_variable = Mock() mock_variable.values = ["variable1", "variable2"] mock_ds.__getitem__ = Mock(return_value=mock_variable) - + mock_ds.step.values = [0, 1, 2] mock_ds.sat_pred.isel.return_value.values = np.random.rand(10, 10) mock_ds.close = Mock() - + mock_open_zarr.return_value = mock_ds mock_extract.return_value = {"longitude": 9.5, "height": 35785831.0} - + with tempfile.TemporaryDirectory() as temp_dir: zarr_path = os.path.join(temp_dir, "test.zarr") os.makedirs(zarr_path) output_dir = os.path.join(temp_dir, "output") - + convert_zarr_to_geotiffs(zarr_path, output_dir) - + # Verify mocks were called mock_open_zarr.assert_called_once_with(zarr_path) mock_extract.assert_called_once_with(mock_ds) assert mock_save.call_count > 0 - @patch('cloudcasting_backend.services.s3_downloader.log') + @patch("cloudcasting_backend.services.s3_downloader.log") def test_convert_zarr_to_geotiffs_nonexistent_path(self, mock_log): """Test error handling for non-existent Zarr path.""" convert_zarr_to_geotiffs("/nonexistent/path", "/output") - + mock_log.error.assert_called() - @patch('cloudcasting_backend.services.s3_downloader.xr.open_zarr') - @patch('cloudcasting_backend.services.s3_downloader.log') + @patch("cloudcasting_backend.services.s3_downloader.xr.open_zarr") + @patch("cloudcasting_backend.services.s3_downloader.log") def test_convert_zarr_to_geotiffs_open_error(self, mock_log, mock_open_zarr): """Test error handling when Zarr file cannot be opened.""" mock_open_zarr.side_effect = Exception("Cannot open Zarr") - + with tempfile.TemporaryDirectory() as temp_dir: zarr_path = os.path.join(temp_dir, "test.zarr") os.makedirs(zarr_path) - + convert_zarr_to_geotiffs(zarr_path, "/output") - + mock_log.opt.assert_called() @@ -158,9 +162,9 @@ def test_parse_orbital_parameters_valid_string(self): satellite_nominal_longitude: 9.5 projection_origin_longitude: 9.5 """ - + result = parse_orbital_parameters(params_str) - + assert result["satellite_actual_longitude"] == 9.5 assert result["satellite_actual_altitude"] == 35785831.0 assert result["satellite_nominal_longitude"] == 9.5 @@ -174,9 +178,9 @@ def test_parse_orbital_parameters_mixed_types(self): altitude: 35785831 status: operational """ - + result = parse_orbital_parameters(params_str) - + assert result["satellite_name"] == "Meteosat-11" assert result["longitude"] == 9.5 assert result["altitude"] == 35785831.0 @@ -189,9 +193,9 @@ def test_parse_orbital_parameters_invalid_values(self): invalid_number: not_a_number longitude: 9.5 """ - + result = parse_orbital_parameters(params_str) - + assert result["satellite_name"] == "Meteosat-11" assert result["invalid_number"] == "not_a_number" # Should remain as string assert result["longitude"] == 9.5 @@ -200,24 +204,20 @@ def test_extract_satellite_info_meteosat_11(self): """Test satellite info extraction for Meteosat-11.""" # Mock dataset with Meteosat-11 attributes mock_ds = Mock() - mock_ds.sat_pred.attrs = { - "platform_name": "Meteosat-11" - } - + mock_ds.sat_pred.attrs = {"platform_name": "Meteosat-11"} + result = extract_satellite_info(mock_ds) - + assert result["longitude"] == 9.5 assert result["height"] == 35785831.0 def test_extract_satellite_info_meteosat_10(self): """Test satellite info extraction for Meteosat-10.""" mock_ds = Mock() - mock_ds.sat_pred.attrs = { - "platform_name": "Meteosat-10" - } - + mock_ds.sat_pred.attrs = {"platform_name": "Meteosat-10"} + result = extract_satellite_info(mock_ds) - + assert result["longitude"] == 0.0 assert result["height"] == 35785831.0 @@ -229,11 +229,11 @@ def test_extract_satellite_info_unknown_platform_with_orbital_params(self): "orbital_parameters": """ satellite_actual_longitude: 15.0 satellite_actual_altitude: 36000000.0 - """ + """, } - + result = extract_satellite_info(mock_ds) - + assert result["longitude"] == 15.0 assert result["height"] == 36000000.0 @@ -242,11 +242,11 @@ def test_extract_satellite_info_area_attribute(self): mock_ds = Mock() mock_ds.sat_pred.attrs = { "platform_name": "Custom-Satellite", - "area": "proj=geos lon_0: 12.0 h: 35786023.0 a=6378169.0" + "area": "proj=geos lon_0: 12.0 h: 35786023.0 a=6378169.0", } - + result = extract_satellite_info(mock_ds) - + assert result["longitude"] == 12.0 assert result["height"] == 35786023.0 @@ -254,9 +254,9 @@ def test_extract_satellite_info_no_attributes(self): """Test satellite info extraction with no relevant attributes.""" mock_ds = Mock() mock_ds.sat_pred.attrs = {} - + result = extract_satellite_info(mock_ds) - + # Should return default Meteosat-11 values assert result["longitude"] == 9.6 assert result["height"] == 35785831.0 @@ -265,9 +265,9 @@ def test_extract_satellite_info_no_sat_pred(self): """Test satellite info extraction when sat_pred is missing.""" mock_ds = Mock() del mock_ds.sat_pred # Remove sat_pred attribute - + result = extract_satellite_info(mock_ds) - + # Should return default values assert result["longitude"] == 9.6 assert result["height"] == 35785831.0 @@ -276,55 +276,52 @@ def test_extract_satellite_info_no_sat_pred(self): class TestTimestampFunctions: """Test suite for timestamp-related functions.""" - @patch('cloudcasting_backend.services.s3_downloader.boto3.client') + @patch("cloudcasting_backend.services.s3_downloader.boto3.client") def test_get_s3_timestamp_success(self, mock_boto_client): """Test successful S3 timestamp retrieval.""" # Mock S3 client response mock_client = Mock() mock_boto_client.return_value = mock_client - + expected_time = datetime.datetime(2024, 1, 15, 12, 0, 0) - mock_client.head_object.return_value = { - "LastModified": expected_time - } - + mock_client.head_object.return_value = {"LastModified": expected_time} + result = get_s3_timestamp("test-bucket", "test-prefix/") - + assert result == expected_time mock_client.head_object.assert_called_once_with( - Bucket="test-bucket", - Key="test-prefix/.zattrs" + Bucket="test-bucket", Key="test-prefix/.zattrs" ) - @patch('cloudcasting_backend.services.s3_downloader.boto3.client') - @patch('cloudcasting_backend.services.s3_downloader.log') + @patch("cloudcasting_backend.services.s3_downloader.boto3.client") + @patch("cloudcasting_backend.services.s3_downloader.log") def test_get_s3_timestamp_not_found(self, mock_log, mock_boto_client): """Test S3 timestamp retrieval when object not found.""" mock_client = Mock() mock_boto_client.return_value = mock_client - + # Mock 404 error - error_response = {'Error': {'Code': '404'}} - mock_client.head_object.side_effect = ClientError(error_response, 'HeadObject') - + error_response = {"Error": {"Code": "404"}} + mock_client.head_object.side_effect = ClientError(error_response, "HeadObject") + result = get_s3_timestamp("test-bucket", "test-prefix/") - + assert result is None mock_log.error.assert_called() - @patch('cloudcasting_backend.services.s3_downloader.boto3.client') - @patch('cloudcasting_backend.services.s3_downloader.log') + @patch("cloudcasting_backend.services.s3_downloader.boto3.client") + @patch("cloudcasting_backend.services.s3_downloader.log") def test_get_s3_timestamp_other_error(self, mock_log, mock_boto_client): """Test S3 timestamp retrieval with other AWS errors.""" mock_client = Mock() mock_boto_client.return_value = mock_client - + # Mock other error - error_response = {'Error': {'Code': '403'}} - mock_client.head_object.side_effect = ClientError(error_response, 'HeadObject') - + error_response = {"Error": {"Code": "403"}} + mock_client.head_object.side_effect = ClientError(error_response, "HeadObject") + result = get_s3_timestamp("test-bucket", "test-prefix/") - + assert result is None mock_log.opt.assert_called() @@ -335,33 +332,42 @@ def test_get_local_timestamp_success(self): timestamp_file = Path(temp_dir) / "timestamp.txt" test_time = datetime.datetime(2024, 1, 15, 12, 0, 0) timestamp_file.write_text(test_time.isoformat()) - + # Patch the global timestamp file path - with patch('cloudcasting_backend.services.s3_downloader._TIMESTAMP_FILE', timestamp_file): + with patch( + "cloudcasting_backend.services.s3_downloader._TIMESTAMP_FILE", + timestamp_file, + ): result = get_local_timestamp() - + assert result == test_time def test_get_local_timestamp_file_not_found(self): """Test local timestamp retrieval when file doesn't exist.""" with tempfile.TemporaryDirectory() as temp_dir: nonexistent_file = Path(temp_dir) / "nonexistent.txt" - - with patch('cloudcasting_backend.services.s3_downloader._TIMESTAMP_FILE', nonexistent_file): + + with patch( + "cloudcasting_backend.services.s3_downloader._TIMESTAMP_FILE", + nonexistent_file, + ): result = get_local_timestamp() - + assert result is None - @patch('cloudcasting_backend.services.s3_downloader.log') + @patch("cloudcasting_backend.services.s3_downloader.log") def test_get_local_timestamp_invalid_format(self, mock_log): """Test local timestamp retrieval with invalid timestamp format.""" with tempfile.TemporaryDirectory() as temp_dir: timestamp_file = Path(temp_dir) / "timestamp.txt" timestamp_file.write_text("invalid-timestamp-format") - - with patch('cloudcasting_backend.services.s3_downloader._TIMESTAMP_FILE', timestamp_file): + + with patch( + "cloudcasting_backend.services.s3_downloader._TIMESTAMP_FILE", + timestamp_file, + ): result = get_local_timestamp() - + assert result is None mock_log.opt.assert_called() @@ -369,55 +375,61 @@ def test_get_local_timestamp_invalid_format(self, mock_log): class TestAPIIntegrationFunctions: """Test suite for API integration functions.""" - @patch('cloudcasting_backend.services.s3_downloader.run_update_job') - @patch('cloudcasting_backend.services.s3_downloader._current_process') - def test_trigger_background_download_success(self, mock_current_process, mock_run_job): + @patch("cloudcasting_backend.services.s3_downloader.run_update_job") + @patch("cloudcasting_backend.services.s3_downloader._current_process") + def test_trigger_background_download_success( + self, mock_current_process, mock_run_job + ): """Test successful background download trigger.""" mock_current_process.is_alive.return_value = False mock_current_process.pid = 12345 - - with patch('cloudcasting_backend.services.s3_downloader._process_lock'): + + with patch("cloudcasting_backend.services.s3_downloader._process_lock"): result = trigger_background_download() - + assert result == "12345" mock_run_job.assert_called_once() - @patch('cloudcasting_backend.services.s3_downloader._current_process') + @patch("cloudcasting_backend.services.s3_downloader._current_process") def test_trigger_background_download_already_running(self, mock_current_process): """Test background download trigger when job already running.""" mock_current_process.is_alive.return_value = True mock_current_process.pid = 12345 - - with patch('cloudcasting_backend.services.s3_downloader._process_lock'): + + with patch("cloudcasting_backend.services.s3_downloader._process_lock"): with pytest.raises(RuntimeError, match="Download job already running"): trigger_background_download() - @patch('cloudcasting_backend.services.s3_downloader._current_process') + @patch("cloudcasting_backend.services.s3_downloader._current_process") def test_get_download_status_running(self, mock_current_process): """Test download status when job is running.""" mock_current_process.is_alive.return_value = True mock_current_process.pid = 12345 - - with patch('cloudcasting_backend.services.s3_downloader._process_lock'): - with patch('cloudcasting_backend.services.s3_downloader._TIMESTAMP_FILE') as mock_file: + + with patch("cloudcasting_backend.services.s3_downloader._process_lock"): + with patch( + "cloudcasting_backend.services.s3_downloader._TIMESTAMP_FILE" + ) as mock_file: mock_file.exists.return_value = True mock_file.read_text.return_value = "2024-01-15T12:00:00" - + result = get_download_status() - + assert result["is_running"] is True assert "Process 12345" in result["current_task"] assert result["last_completed"] == "2024-01-15T12:00:00" - @patch('cloudcasting_backend.services.s3_downloader._current_process', None) + @patch("cloudcasting_backend.services.s3_downloader._current_process", None) def test_get_download_status_not_running(self): """Test download status when no job is running.""" - with patch('cloudcasting_backend.services.s3_downloader._process_lock'): - with patch('cloudcasting_backend.services.s3_downloader._TIMESTAMP_FILE') as mock_file: + with patch("cloudcasting_backend.services.s3_downloader._process_lock"): + with patch( + "cloudcasting_backend.services.s3_downloader._TIMESTAMP_FILE" + ) as mock_file: mock_file.exists.return_value = False - + result = get_download_status() - + assert result["is_running"] is False assert result["current_task"] is None assert result["last_completed"] is None @@ -428,27 +440,36 @@ def test_get_current_forecast_folder_exists(self): # Create some files in the directory test_file = Path(temp_dir) / "test_file.txt" test_file.write_text("test") - - with patch('cloudcasting_backend.services.s3_downloader.GEOTIFF_STORAGE_PATH', temp_dir): + + with patch( + "cloudcasting_backend.services.s3_downloader.GEOTIFF_STORAGE_PATH", + temp_dir, + ): result = get_current_forecast_folder() - + assert result == temp_dir def test_get_current_forecast_folder_empty(self): """Test getting current forecast folder when it's empty.""" with tempfile.TemporaryDirectory() as temp_dir: - with patch('cloudcasting_backend.services.s3_downloader.GEOTIFF_STORAGE_PATH', temp_dir): + with patch( + "cloudcasting_backend.services.s3_downloader.GEOTIFF_STORAGE_PATH", + temp_dir, + ): result = get_current_forecast_folder() - + assert result is None def test_get_current_forecast_folder_not_exists(self): """Test getting current forecast folder when it doesn't exist.""" nonexistent_path = "/nonexistent/path" - - with patch('cloudcasting_backend.services.s3_downloader.GEOTIFF_STORAGE_PATH', nonexistent_path): + + with patch( + "cloudcasting_backend.services.s3_downloader.GEOTIFF_STORAGE_PATH", + nonexistent_path, + ): result = get_current_forecast_folder() - + assert result is None @@ -459,7 +480,9 @@ def test_constants_defined(self): """Test that required constants are properly defined.""" assert GEOTIFF_STORAGE_PATH == "cloudcasting_backend/static/layers" assert S3_ZARR_PREFIX == "cloudcasting_forecast/latest.zarr/" - + # Test that _TIMESTAMP_FILE is properly constructed - expected_timestamp_file = Path(GEOTIFF_STORAGE_PATH) / "_last_processed_timestamp.txt" + expected_timestamp_file = ( + Path(GEOTIFF_STORAGE_PATH) / "_last_processed_timestamp.txt" + ) assert _TIMESTAMP_FILE == expected_timestamp_file From 3f6b33e091442adadee04140e5a24fa8cbe8d810 Mon Sep 17 00:00:00 2001 From: suvanbanerjee Date: Fri, 22 Aug 2025 00:45:02 +0530 Subject: [PATCH 15/18] test and lint --- .github/workflows/tests.yml | 30 ++++++------------------------ 1 file changed, 6 insertions(+), 24 deletions(-) diff --git a/.github/workflows/tests.yml b/.github/workflows/tests.yml index f6b28e6..df3c501 100644 --- a/.github/workflows/tests.yml +++ b/.github/workflows/tests.yml @@ -3,11 +3,7 @@ name: Testing cloudcasting_backend on: push jobs: - lint: - strategy: - matrix: - cmd: - - black + test: runs-on: ubuntu-latest steps: - uses: actions/checkout@v4 @@ -18,24 +14,10 @@ jobs: with: python-version: '3.11' cache: 'poetry' - - name: Install deps + - name: Install dependencies run: poetry install --no-root - - name: Run lint check - run: poetry run pre-commit run -a ${{ matrix.cmd }} - pytest: - runs-on: ubuntu-latest - steps: - - uses: actions/checkout@v4 - - name: Create .env - run: touch .env - - name: Set up Python - uses: actions/setup-python@v5 - with: - python-version: '3.11' - - name: Update docker-compose - uses: docker/setup-buildx-action@v3 - with: - version: "2.28.0" - - name: run tests - run: docker-compose run --rm api pytest -vv + - name: Run black lint + run: poetry run black --check . + - name: Run pytest + run: poetry run pytest -vv From 5503fa3159c08edc40a8d6abce6f9f8a3c5077d8 Mon Sep 17 00:00:00 2001 From: suvanbanerjee Date: Fri, 22 Aug 2025 00:47:11 +0530 Subject: [PATCH 16/18] modified test --- tests/test_cloudcasting_backend.py | 13 ------------- tests/test_s3_downloader.py | 2 +- 2 files changed, 1 insertion(+), 14 deletions(-) diff --git a/tests/test_cloudcasting_backend.py b/tests/test_cloudcasting_backend.py index 6bfea9a..ac29898 100644 --- a/tests/test_cloudcasting_backend.py +++ b/tests/test_cloudcasting_backend.py @@ -4,19 +4,6 @@ from starlette import status -@pytest.mark.anyio -async def test_health(client: AsyncClient, fastapi_app: FastAPI) -> None: - """ - Checks the health endpoint. - - :param client: client for the app. - :param fastapi_app: current FastAPI application. - """ - url = fastapi_app.url_path_for("health_check") - response = await client.get(url) - assert response.status_code == status.HTTP_200_OK - - @pytest.mark.anyio async def test_data_info_endpoint(client: AsyncClient, fastapi_app: FastAPI) -> None: """ diff --git a/tests/test_s3_downloader.py b/tests/test_s3_downloader.py index f440c80..08630d8 100644 --- a/tests/test_s3_downloader.py +++ b/tests/test_s3_downloader.py @@ -290,7 +290,7 @@ def test_get_s3_timestamp_success(self, mock_boto_client): assert result == expected_time mock_client.head_object.assert_called_once_with( - Bucket="test-bucket", Key="test-prefix/.zattrs" + Bucket="test-bucket", Key="test-prefix/zarr.json" ) @patch("cloudcasting_backend.services.s3_downloader.boto3.client") From de334f0ab6125789d686807940dd6c8b7aa8ce81 Mon Sep 17 00:00:00 2001 From: suvanbanerjee Date: Fri, 22 Aug 2025 01:05:00 +0530 Subject: [PATCH 17/18] rename to processor --- cloudcasting_backend/services/__init__.py | 2 +- ...ownloader.py => cloudcasting_processor.py} | 2 +- .../web/api/cloudcasting/views.py | 2 +- ...ader.py => test_cloudcasting_processor.py} | 76 +++++++++++-------- 4 files changed, 47 insertions(+), 35 deletions(-) rename cloudcasting_backend/services/{s3_downloader.py => cloudcasting_processor.py} (99%) rename tests/{test_s3_downloader.py => test_cloudcasting_processor.py} (85%) diff --git a/cloudcasting_backend/services/__init__.py b/cloudcasting_backend/services/__init__.py index 9741336..2279db9 100644 --- a/cloudcasting_backend/services/__init__.py +++ b/cloudcasting_backend/services/__init__.py @@ -1,6 +1,6 @@ """Services for cloudcasting_backend.""" -from cloudcasting_backend.services.s3_downloader import ( +from cloudcasting_backend.services.cloudcasting_processor import ( get_current_forecast_folder, get_download_status, run_update_job, diff --git a/cloudcasting_backend/services/s3_downloader.py b/cloudcasting_backend/services/cloudcasting_processor.py similarity index 99% rename from cloudcasting_backend/services/s3_downloader.py rename to cloudcasting_backend/services/cloudcasting_processor.py index e9e8cae..ab2adcc 100644 --- a/cloudcasting_backend/services/s3_downloader.py +++ b/cloudcasting_backend/services/cloudcasting_processor.py @@ -42,7 +42,7 @@ # ============================================================================== -# == GEO-TIFF CONVERSION FUNCTIONS (Unchanged) +# == GEO-TIFF CONVERSION FUNCTIONS # ============================================================================== diff --git a/cloudcasting_backend/web/api/cloudcasting/views.py b/cloudcasting_backend/web/api/cloudcasting/views.py index 67fd2e1..1704c3f 100644 --- a/cloudcasting_backend/web/api/cloudcasting/views.py +++ b/cloudcasting_backend/web/api/cloudcasting/views.py @@ -10,7 +10,7 @@ from fastapi.responses import FileResponse from pydantic import BaseModel -from cloudcasting_backend.services.s3_downloader import ( +from cloudcasting_backend.services.cloudcasting_processor import ( get_download_status, run_update_job, ) diff --git a/tests/test_s3_downloader.py b/tests/test_cloudcasting_processor.py similarity index 85% rename from tests/test_s3_downloader.py rename to tests/test_cloudcasting_processor.py index 08630d8..5b04a27 100644 --- a/tests/test_s3_downloader.py +++ b/tests/test_cloudcasting_processor.py @@ -1,5 +1,5 @@ """ -Tests for s3_downloader module functions including conversion functions, +Tests for cloudcasting_processor module functions including conversion functions, satellite detection functions, timestamp handling, and local time functions. """ @@ -14,7 +14,7 @@ import xarray as xr from botocore.exceptions import ClientError -from cloudcasting_backend.services.s3_downloader import ( +from cloudcasting_backend.services.cloudcasting_processor import ( GEOTIFF_STORAGE_PATH, S3_ZARR_PREFIX, _TIMESTAMP_FILE, @@ -77,7 +77,7 @@ def test_save_to_geotiff_with_nodata(self): with rasterio.open(filename) as src: assert src.nodata == -999.0 - @patch("cloudcasting_backend.services.s3_downloader.log") + @patch("cloudcasting_backend.services.cloudcasting_processor.log") def test_save_to_geotiff_error_handling(self, mock_log): """Test error handling in save_to_geotiff.""" # Invalid path should trigger error @@ -93,9 +93,11 @@ def test_save_to_geotiff_error_handling(self, mock_log): # Should log an error mock_log.opt.assert_called() - @patch("cloudcasting_backend.services.s3_downloader.xr.open_zarr") - @patch("cloudcasting_backend.services.s3_downloader.extract_satellite_info") - @patch("cloudcasting_backend.services.s3_downloader.save_to_geotiff") + @patch("cloudcasting_backend.services.cloudcasting_processor.xr.open_zarr") + @patch( + "cloudcasting_backend.services.cloudcasting_processor.extract_satellite_info" + ) + @patch("cloudcasting_backend.services.cloudcasting_processor.save_to_geotiff") def test_convert_zarr_to_geotiffs_success( self, mock_save, mock_extract, mock_open_zarr ): @@ -129,15 +131,15 @@ def test_convert_zarr_to_geotiffs_success( mock_extract.assert_called_once_with(mock_ds) assert mock_save.call_count > 0 - @patch("cloudcasting_backend.services.s3_downloader.log") + @patch("cloudcasting_backend.services.cloudcasting_processor.log") def test_convert_zarr_to_geotiffs_nonexistent_path(self, mock_log): """Test error handling for non-existent Zarr path.""" convert_zarr_to_geotiffs("/nonexistent/path", "/output") mock_log.error.assert_called() - @patch("cloudcasting_backend.services.s3_downloader.xr.open_zarr") - @patch("cloudcasting_backend.services.s3_downloader.log") + @patch("cloudcasting_backend.services.cloudcasting_processor.xr.open_zarr") + @patch("cloudcasting_backend.services.cloudcasting_processor.log") def test_convert_zarr_to_geotiffs_open_error(self, mock_log, mock_open_zarr): """Test error handling when Zarr file cannot be opened.""" mock_open_zarr.side_effect = Exception("Cannot open Zarr") @@ -276,7 +278,7 @@ def test_extract_satellite_info_no_sat_pred(self): class TestTimestampFunctions: """Test suite for timestamp-related functions.""" - @patch("cloudcasting_backend.services.s3_downloader.boto3.client") + @patch("cloudcasting_backend.services.cloudcasting_processor.boto3.client") def test_get_s3_timestamp_success(self, mock_boto_client): """Test successful S3 timestamp retrieval.""" # Mock S3 client response @@ -293,8 +295,8 @@ def test_get_s3_timestamp_success(self, mock_boto_client): Bucket="test-bucket", Key="test-prefix/zarr.json" ) - @patch("cloudcasting_backend.services.s3_downloader.boto3.client") - @patch("cloudcasting_backend.services.s3_downloader.log") + @patch("cloudcasting_backend.services.cloudcasting_processor.boto3.client") + @patch("cloudcasting_backend.services.cloudcasting_processor.log") def test_get_s3_timestamp_not_found(self, mock_log, mock_boto_client): """Test S3 timestamp retrieval when object not found.""" mock_client = Mock() @@ -309,8 +311,8 @@ def test_get_s3_timestamp_not_found(self, mock_log, mock_boto_client): assert result is None mock_log.error.assert_called() - @patch("cloudcasting_backend.services.s3_downloader.boto3.client") - @patch("cloudcasting_backend.services.s3_downloader.log") + @patch("cloudcasting_backend.services.cloudcasting_processor.boto3.client") + @patch("cloudcasting_backend.services.cloudcasting_processor.log") def test_get_s3_timestamp_other_error(self, mock_log, mock_boto_client): """Test S3 timestamp retrieval with other AWS errors.""" mock_client = Mock() @@ -335,7 +337,7 @@ def test_get_local_timestamp_success(self): # Patch the global timestamp file path with patch( - "cloudcasting_backend.services.s3_downloader._TIMESTAMP_FILE", + "cloudcasting_backend.services.cloudcasting_processor._TIMESTAMP_FILE", timestamp_file, ): result = get_local_timestamp() @@ -348,14 +350,14 @@ def test_get_local_timestamp_file_not_found(self): nonexistent_file = Path(temp_dir) / "nonexistent.txt" with patch( - "cloudcasting_backend.services.s3_downloader._TIMESTAMP_FILE", + "cloudcasting_backend.services.cloudcasting_processor._TIMESTAMP_FILE", nonexistent_file, ): result = get_local_timestamp() assert result is None - @patch("cloudcasting_backend.services.s3_downloader.log") + @patch("cloudcasting_backend.services.cloudcasting_processor.log") def test_get_local_timestamp_invalid_format(self, mock_log): """Test local timestamp retrieval with invalid timestamp format.""" with tempfile.TemporaryDirectory() as temp_dir: @@ -363,7 +365,7 @@ def test_get_local_timestamp_invalid_format(self, mock_log): timestamp_file.write_text("invalid-timestamp-format") with patch( - "cloudcasting_backend.services.s3_downloader._TIMESTAMP_FILE", + "cloudcasting_backend.services.cloudcasting_processor._TIMESTAMP_FILE", timestamp_file, ): result = get_local_timestamp() @@ -375,8 +377,8 @@ def test_get_local_timestamp_invalid_format(self, mock_log): class TestAPIIntegrationFunctions: """Test suite for API integration functions.""" - @patch("cloudcasting_backend.services.s3_downloader.run_update_job") - @patch("cloudcasting_backend.services.s3_downloader._current_process") + @patch("cloudcasting_backend.services.cloudcasting_processor.run_update_job") + @patch("cloudcasting_backend.services.cloudcasting_processor._current_process") def test_trigger_background_download_success( self, mock_current_process, mock_run_job ): @@ -384,31 +386,37 @@ def test_trigger_background_download_success( mock_current_process.is_alive.return_value = False mock_current_process.pid = 12345 - with patch("cloudcasting_backend.services.s3_downloader._process_lock"): + with patch( + "cloudcasting_backend.services.cloudcasting_processor._process_lock" + ): result = trigger_background_download() assert result == "12345" mock_run_job.assert_called_once() - @patch("cloudcasting_backend.services.s3_downloader._current_process") + @patch("cloudcasting_backend.services.cloudcasting_processor._current_process") def test_trigger_background_download_already_running(self, mock_current_process): """Test background download trigger when job already running.""" mock_current_process.is_alive.return_value = True mock_current_process.pid = 12345 - with patch("cloudcasting_backend.services.s3_downloader._process_lock"): + with patch( + "cloudcasting_backend.services.cloudcasting_processor._process_lock" + ): with pytest.raises(RuntimeError, match="Download job already running"): trigger_background_download() - @patch("cloudcasting_backend.services.s3_downloader._current_process") + @patch("cloudcasting_backend.services.cloudcasting_processor._current_process") def test_get_download_status_running(self, mock_current_process): """Test download status when job is running.""" mock_current_process.is_alive.return_value = True mock_current_process.pid = 12345 - with patch("cloudcasting_backend.services.s3_downloader._process_lock"): + with patch( + "cloudcasting_backend.services.cloudcasting_processor._process_lock" + ): with patch( - "cloudcasting_backend.services.s3_downloader._TIMESTAMP_FILE" + "cloudcasting_backend.services.cloudcasting_processor._TIMESTAMP_FILE" ) as mock_file: mock_file.exists.return_value = True mock_file.read_text.return_value = "2024-01-15T12:00:00" @@ -419,12 +427,16 @@ def test_get_download_status_running(self, mock_current_process): assert "Process 12345" in result["current_task"] assert result["last_completed"] == "2024-01-15T12:00:00" - @patch("cloudcasting_backend.services.s3_downloader._current_process", None) + @patch( + "cloudcasting_backend.services.cloudcasting_processor._current_process", None + ) def test_get_download_status_not_running(self): """Test download status when no job is running.""" - with patch("cloudcasting_backend.services.s3_downloader._process_lock"): + with patch( + "cloudcasting_backend.services.cloudcasting_processor._process_lock" + ): with patch( - "cloudcasting_backend.services.s3_downloader._TIMESTAMP_FILE" + "cloudcasting_backend.services.cloudcasting_processor._TIMESTAMP_FILE" ) as mock_file: mock_file.exists.return_value = False @@ -442,7 +454,7 @@ def test_get_current_forecast_folder_exists(self): test_file.write_text("test") with patch( - "cloudcasting_backend.services.s3_downloader.GEOTIFF_STORAGE_PATH", + "cloudcasting_backend.services.cloudcasting_processor.GEOTIFF_STORAGE_PATH", temp_dir, ): result = get_current_forecast_folder() @@ -453,7 +465,7 @@ def test_get_current_forecast_folder_empty(self): """Test getting current forecast folder when it's empty.""" with tempfile.TemporaryDirectory() as temp_dir: with patch( - "cloudcasting_backend.services.s3_downloader.GEOTIFF_STORAGE_PATH", + "cloudcasting_backend.services.cloudcasting_processor.GEOTIFF_STORAGE_PATH", temp_dir, ): result = get_current_forecast_folder() @@ -465,7 +477,7 @@ def test_get_current_forecast_folder_not_exists(self): nonexistent_path = "/nonexistent/path" with patch( - "cloudcasting_backend.services.s3_downloader.GEOTIFF_STORAGE_PATH", + "cloudcasting_backend.services.cloudcasting_processor.GEOTIFF_STORAGE_PATH", nonexistent_path, ): result = get_current_forecast_folder() From 2a0375a16f544b07c49a474c4f6813af19297942 Mon Sep 17 00:00:00 2001 From: suvanbanerjee Date: Tue, 26 Aug 2025 15:39:29 +0530 Subject: [PATCH 18/18] add auth0 --- .env.example | 11 ++ README.md | 97 +++++----- cloudcasting_backend/auth.py | 74 ++++++++ .../web/api/cloudcasting/views.py | 9 +- poetry.lock | 174 +++++++++++++++++- pyproject.toml | 2 + 6 files changed, 310 insertions(+), 57 deletions(-) create mode 100644 cloudcasting_backend/auth.py diff --git a/.env.example b/.env.example index 1623951..d7ea32c 100644 --- a/.env.example +++ b/.env.example @@ -74,6 +74,17 @@ CLOUDCASTING_BACKEND_S3_ACCESS_KEY_ID=your-access-key-id # Keep this secure and never commit to version control CLOUDCASTING_BACKEND_S3_SECRET_ACCESS_KEY=your-secret-access-key +# ============================================================================= +# Auth0 Authentication Configuration (Optional) +# ============================================================================= + +# Auth0 domain for JWT token validation +# Example: "your-tenant.auth0.com" +AUTH0_DOMAIN= + +# Auth0 API audience identifier +AUTH0_API_AUDIENCE= + # ============================================================================= # File Storage Paths (Optional - uses defaults if not specified) diff --git a/README.md b/README.md index 29ee5d2..6bca9ad 100644 --- a/README.md +++ b/README.md @@ -13,6 +13,7 @@ A FastAPI-based backend service for processing and serving satellite cloud forec - **Format Conversion**: Converts Zarr format to GeoTIFF for mapping applications - **Background Processing**: Asynchronous data download and conversion - **RESTful API**: Clean API endpoints for data access and status monitoring +- **Authentication**: JWT-based authentication with Auth0 integration for protected endpoints - **Static File Serving**: Direct access to processed GeoTIFF layers - **Data Information**: Detailed metadata about processed data and timing information @@ -29,6 +30,10 @@ CLOUDCASTING_BACKEND_S3_BUCKET_NAME=your-bucket-name CLOUDCASTING_BACKEND_S3_REGION_NAME=us-east-1 CLOUDCASTING_BACKEND_S3_ACCESS_KEY_ID=your-access-key-id CLOUDCASTING_BACKEND_S3_SECRET_ACCESS_KEY=your-secret-access-key + +# Auth0 Configuration +AUTH0_DOMAIN=your-tenant.auth0.com +AUTH0_API_AUDIENCE=your-api-audience ``` Copy `.env.example` to `.env` and configure the values for your environment: @@ -85,9 +90,6 @@ and the docs at `http://localhost:8000/api/docs`. - `GET /api/cloudcasting/layers` - Get list of available channels and forecast steps - `GET /api/cloudcasting/layers/{channel}/{step}.tif` - Download specific GeoTIFF layer -### Static Files - -- `GET /static/*` - Access processed GeoTIFF files and other static content ### Data Information Endpoint @@ -96,17 +98,44 @@ The `/api/cloudcasting/data-info` endpoint provides comprehensive information ab ```json { "file_exists": true, - "forecast_steps": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12], - "variables": ["cloud_mask", "temperature", "humidity"], - "file_size_mb": 145.23, - "last_modified": "2025-08-21T14:30:00.123456", + "init_time": null, + "forecast_steps": [ + 0, + 1, + 2, + 3, + 4, + 5, + 6, + 7, + 8, + 9, + 10, + 11 + ], + "variables": [ + "VIS006", + "WV_062", + "WV_073", + "VIS008", + "IR_039", + "IR_108", + "IR_120", + "IR_134", + "IR_087", + "IR_016", + "IR_097" + ], + "file_size_mb": 70.29, + "last_modified": "2025-08-26T09:43:26+00:00", "time_range": { - "last_processed": "2025-08-21T14:30:00.123456", + "last_processed": "2025-08-26T09:43:26+00:00", "data_source": "S3 download timestamp", - "total_forecast_steps": 13, - "available_variables": 3 - } -} + "total_forecast_steps": 12, + "available_variables": 11 + }, + "error": null +}} ``` This endpoint: @@ -161,48 +190,6 @@ For test coverage: $ poetry run pytest --cov=cloudcasting_backend --cov-report=html ``` -## Project Structure - -``` -cloudcasting_backend/ -├── __init__.py -├── __main__.py # Application entry point -├── settings.py # Configuration management -├── log.py # Logging configuration -├── services/ # Business logic services -│ ├── __init__.py -│ └── s3_downloader.py # S3 data processing service -├── web/ # Web application layer -│ ├── __init__.py -│ ├── application.py # FastAPI app configuration -│ ├── lifespan.py # Application lifecycle management -│ └── api/ # API routes -│ ├── __init__.py -│ ├── router.py # Main API router -│ └── cloudcasting/ -│ ├── __init__.py -│ └── views.py # Cloudcasting endpoints -└── static/ # Static file storage - ├── layers/ # Processed GeoTIFF files (served by API) - └── zarr_files/ # Downloaded Zarr files (temporary/intermediate) -``` - -### Architecture Notes - -- **Zarr files**: Temporary intermediate data, not accessed by API views -- **GeoTIFF layers**: Final processed output, served by API endpoints -- **Clean separation**: Views only access processed data and metadata files -- **Timestamp tracking**: `_last_processed_timestamp.txt` records processing completion - -## Data Processing Pipeline - -1. **Download**: Fetch latest cloudcasting forecast data from S3 (Zarr format) -2. **Projection**: Transform geostationary satellite coordinates to WGS84 -3. **Interpolation**: Resample data to regular lat/lon grid -4. **Conversion**: Save as GeoTIFF files organized by variable and forecast step -5. **Timestamping**: Record processing completion time in metadata file -6. **Serving**: Make processed files available via REST API (zarr files remain temporary) - ## Environment Variables | Variable | Default | Description | @@ -218,6 +205,8 @@ cloudcasting_backend/ | `CLOUDCASTING_BACKEND_S3_ACCESS_KEY_ID` | - | **Required**: AWS access key | | `CLOUDCASTING_BACKEND_S3_SECRET_ACCESS_KEY` | - | **Required**: AWS secret key | | `CLOUDCASTING_BACKEND_SENTRY_DSN` | - | Optional: Sentry error tracking DSN | +| `AUTH0_DOMAIN` | - | Auth0 domain for JWT authentication | +| `AUTH0_API_AUDIENCE` | - | Auth0 API audience for JWT validation | ## Known Issues diff --git a/cloudcasting_backend/auth.py b/cloudcasting_backend/auth.py new file mode 100644 index 0000000..1bb102b --- /dev/null +++ b/cloudcasting_backend/auth.py @@ -0,0 +1,74 @@ +import jwt +import os +from fastapi import Depends, HTTPException, Request +from fastapi.security import HTTPAuthorizationCredentials, HTTPBearer + +token_auth_scheme = HTTPBearer() + + +class DummyAuth: + """Dummy auth dependency for testing purposes.""" + + def __init__(self, domain: str, api_audience: str, algorithm: str): + self._domain = domain + self._api_audience = api_audience + self._algorithm = algorithm + + def __call__( + self, + request: Request, + auth_credentials: HTTPAuthorizationCredentials = Depends(token_auth_scheme), + ): + # Even in dummy mode, we should validate that a token is provided + # This maintains the same interface as the real auth + return {"https://openclimatefix.org/email": "test@test.com"} + + +class Auth: + """Fast api dependency that validates an JWT token.""" + + def __init__(self, domain: str, api_audience: str, algorithm: str): + self._domain = domain + self._api_audience = api_audience + self._algorithm = algorithm + + self._jwks_client = jwt.PyJWKClient(f"https://{domain}/.well-known/jwks.json") + + def __call__( + self, + request: Request, + auth_credentials: HTTPAuthorizationCredentials = Depends(token_auth_scheme), + ): + token = auth_credentials.credentials + + try: + signing_key = self._jwks_client.get_signing_key_from_jwt(token).key + except (jwt.exceptions.PyJWKClientError, jwt.exceptions.DecodeError) as e: + raise HTTPException(status_code=401, detail=str(e)) + + try: + payload = jwt.decode( + token, + signing_key, + algorithms=self._algorithm, + audience=self._api_audience, + issuer=f"https://{self._domain}/", + ) + except Exception as e: + raise HTTPException(status_code=401, detail=str(e)) + + request.state.auth = payload + + return payload + + +if (os.getenv("AUTH0_DOMAIN") is not None) and ( + os.getenv("AUTH0_API_AUDIENCE") is not None +): + auth = Auth( + domain=os.getenv("AUTH0_DOMAIN"), + api_audience=os.getenv("AUTH0_API_AUDIENCE"), + algorithm="RS256", + ) +else: + auth = DummyAuth(domain="dummy", api_audience="dummy", algorithm="dummy") diff --git a/cloudcasting_backend/web/api/cloudcasting/views.py b/cloudcasting_backend/web/api/cloudcasting/views.py index 1704c3f..3ad8036 100644 --- a/cloudcasting_backend/web/api/cloudcasting/views.py +++ b/cloudcasting_backend/web/api/cloudcasting/views.py @@ -6,10 +6,11 @@ from typing import List, Optional import sentry_sdk -from fastapi import APIRouter, HTTPException, status +from fastapi import APIRouter, HTTPException, status, Depends from fastapi.responses import FileResponse from pydantic import BaseModel +from cloudcasting_backend.auth import auth from cloudcasting_backend.services.cloudcasting_processor import ( get_download_status, run_update_job, @@ -246,16 +247,20 @@ async def get_processed_data_info() -> ProcessedDataInfoResponse: @router.get("/layers/{channel}/{step}.tif") -async def get_tif_layer(channel: str, step: int): +async def get_tif_layer(channel: str, step: int, user_payload=Depends(auth)): """ Serve a specific TIF file for the given channel and step. Args: channel: The variable name (channel) step: The step number + user_payload: Authentication payload from JWT token Returns: FileResponse: The TIF file for display in Mapbox + + Requires: + Valid JWT token with proper audience and issuer """ # Construct the file path tif_path = Path(settings.geotiff_storage_path) / channel / f"{step}.tif" diff --git a/poetry.lock b/poetry.lock index fed76b7..4f8cc7b 100644 --- a/poetry.lock +++ b/poetry.lock @@ -167,6 +167,87 @@ files = [ {file = "certifi-2025.6.15.tar.gz", hash = "sha256:d747aa5a8b9bbbb1bb8c22bb13e22bd1f18e9796defa16bab421f7f7a317323b"}, ] +[[package]] +name = "cffi" +version = "1.17.1" +description = "Foreign Function Interface for Python calling C code." +optional = false +python-versions = ">=3.8" +groups = ["main"] +markers = "platform_python_implementation != \"PyPy\"" +files = [ + {file = "cffi-1.17.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:df8b1c11f177bc2313ec4b2d46baec87a5f3e71fc8b45dab2ee7cae86d9aba14"}, + 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