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docs/en/docs/advanced/openapi-webhooks.md
This is normally called a **webhook**. ## Webhooks steps The process normally is that **you define** in your code what is the message that you will send, the **body of the request**. You also define in some way at which **moments** your app will send those requests or events. And **your users** define in some way (for example in a web dashboard somewhere) the **URL** where your app should send those requests.
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.bazelrc
# Default paths for TF_SYSTEM_LIBS build:linux --define=PREFIX=/usr build:linux --define=LIBDIR=$(PREFIX)/lib build:linux --define=INCLUDEDIR=$(PREFIX)/include build:linux --define=PROTOBUF_INCLUDE_PATH=$(PREFIX)/include build:macos --define=PREFIX=/usr build:macos --define=LIBDIR=$(PREFIX)/lib build:macos --define=INCLUDEDIR=$(PREFIX)/include build:macos --define=PROTOBUF_INCLUDE_PATH=$(PREFIX)/include
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maven-api-impl/src/test/remote-repo/org/apache/apache/1/apache-1.pom
xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 https://maven.apache.org/xsd/maven-4.0.0.xsd"> <modelVersion>4.0.0</modelVersion> <!-- Shared parent. Doesn't define a lot of things about Apache like general mailing lists, but does define the settings common to all projects at Apache --> <groupId>org.apache</groupId> <artifactId>apache</artifactId> <version>1</version> <packaging>pom</packaging>
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architecture/runtimes.md
Other modules and platforms define the services that they contribute to the runtime.
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docs/en/docs/tutorial/first-steps.md
#### API "schema" In this case, <a href="https://github.com/OAI/OpenAPI-Specification" class="external-link" target="_blank">OpenAPI</a> is a specification that dictates how to define a schema of your API. This schema definition includes your API paths, the possible parameters they take, etc. #### Data "schema" The term "schema" might also refer to the shape of some data, like a JSON content.
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docs/en/docs/features.md
* Because pydantic data structures are just instances of classes you define; auto-completion, linting, mypy and your intuition should all work properly with your validated data. * Validate **complex structures**: * Use of hierarchical Pydantic models, Python `typing`’s `List` and `Dict`, etc. * And validators allow complex data schemas to be clearly and easily defined, checked and documented as JSON Schema.
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docs/en/docs/advanced/settings.md
Here we define the config `env_file` inside of your Pydantic `Settings` class, and set the value to the filename with the dotenv file we want to use. ### Creating the `Settings` only once with `lru_cache`
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Makefile.core.mk
export ISTIO_GO SHELL := /bin/bash -o pipefail # Version can be defined: # (1) in a $VERSION shell variable, which takes precedence; or # (2) in the VERSION file, in which we will append "-dev" to it ifeq ($(VERSION),) VERSION_FROM_FILE := $(shell cat VERSION) ifeq ($(VERSION_FROM_FILE),) $(error VERSION not detected. Make sure it's stored in the VERSION file or defined in VERSION variable) endif VERSION := $(VERSION_FROM_FILE)-dev endif
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docs/en/docs/deployment/concepts.md
* **Cloud services** that handle this for you * The cloud service will probably **handle replication for you**. It would possibly let you define **a process to run**, or a **container image** to use, in any case, it would most probably be **a single Uvicorn process**, and the cloud service would be in charge of replicating it. !!! tip
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docs/en/docs/deployment/docker.md
<div class="termy"> ```console $ pip install -r requirements.txt ---> 100% Successfully installed fastapi pydantic ``` </div> !!! info There are other formats and tools to define and install package dependencies. ### Create the **FastAPI** Code * Create an `app` directory and enter it. * Create an empty file `__init__.py`. * Create a `main.py` file with: ```Python
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