-
-
- v1.1.0 - 2024-4-02
-
+
- v1.2.0 - 2024-11-22 + +
- v1.1.0 - 2024-4-02
- v0.9.1 - 2023-10-25
-
-
- Features
- v0.9.0 - Friday 10-13-23 -
- 0.8.0 - 2023-07-26
-
-
- Breaking Changes -
- Features +
- 0.8.0 - 2023-07-26
@@ -157,11 +172,174 @@
Changelog for Unfurl
++ v1.2.0 - 2024-11-22
+ ++ +Major changes
++ +Browser-based UI (experimental)
+This release contains an experimental local port of Unfurl Cloud’s dashboard UI, allowing you to view and edit the blueprints and ensembles in a project.
+It is enabled using the new
+--guioption on the unfurl serve command, for example:
+unfurl serve --gui /path/to/your/projectFunctionality includes:
+-
+
Adding new deployments (ensembles) to the project and updating the YAML of existing ensembles. Edits are automatically committed to git if the git worktree is clean when the update is saved.
+Edits to environment variables are synchronized with Unfurl Cloud if the local project was cloned from Unfurl Cloud. Otherwise, environment variables are saved in the project’s “unfurl.yaml” except ones marked as masked – in that case they will be saved in “secrets/secrets.yaml” (or in “local/unfurl.yaml” if the project doesn’t use vault encryption).
+When creating and editing deployments, the environment’s cloud map (defaults to the public one) is used as the catalog of blueprint and TOSCA types to search.
+Note that Unfurl’s built-in web server is intended for local use only. For more robust scenarios you can run Unfurl as a WSGI app (
unfurl.server.serve:app) and set theUNFURL_SERVE_GUIenvironment variable to enable GUI mode. Or host your project on an Unfurl Cloud instance.
+
+ +Rust-based inference engine
+Unfurl now includes a scalable (Rust-based) inference engine that tries to match node templates with missing requirements TOSCA based on a requirement’s:
+-
+
node and capability types
+relationship’s valid_target_types
+node_filter property and capabilities
+node_filter match expressions
+
Finding the match for a TOSCA requirement can’t be determined with a simple algorithm. For example, a requirement node_filter’s match can depend on a property value that is itself computed from a requirement (e.g. via TOSCA’s
+get_propertyfunction). So finding a node filter match might change a property’s value, which in turn could affect the node_filter match. Similarly, the inference engine supports Unfurl’snode_filter/requirementsextension, which allows additional constraints to be applied to a target node upon match.This extension is optional – if the extension binary is not found or fails to load, a warning will logged and the TOSCA parser will fall-back to previous behavior. However, topologies that rely on multi-step inference to find matching requirements will fail to find them and report validation errors.
++ +Documentation
+Documentation at docs.unfurl.run has been revamped and expanded. New Quick Start and Solution Overview chapters have been added and the reference documentation in other chapters has been greatly expanded.
++ +Project creation improvements
+-
+
The unfurl clone command now supports two new sources: TOSCA Cloud Service Archives (CSAR) (a file path with a .csar or .zip extension) and cloudmap URLs like
cloudmap:<package_id>, which will resolve to a git URL.
+Improved support for managing projects that keep their ensembles in separate git repositories:
+-
+
Stop registering the ensemble with the project when its in a separate repository.
+When creating an ensemble-only repository, add an unfurl.yaml and use that to record the default environment for the ensemble. Add ‘ensemble_repository_config’ to skeleton vars when creating that file.
+Allow unfurl.yaml files that are alongside ensemble.yaml to be nested inside another Unfurl project.
+Cloning a remote repository containing ensembles will no longer create a new ensemble unless the clone source explicitly pointed at one.
+
+
The net effect of these changes is that the outer and inner repositories can be cloned separately without requiring manual reconfiguration.
+-
+
Support source URLs with a relative “file:” scheme and an URL fragment like
#ref:file/pathto enable remote clone semantics for local git repos.
+When adding a ensemble to an existing project, if the
--use-environmentoption names an environment that doesn’t exist, it will now be added to the project’s unfurl.yaml.
+A blueprint project (a project created with –empty) will no longer have a vault password created unless a VAULT_PASSWORD skeleton var is set.
+You can now hard-code TOSCA topology inputs when creating an ensemble by passing skeleton vars prefixed with “input_”, e.g.
--var input_foo 0.
+Creating the unfurl home project is now a monorepo project by default (use
unfurl homecommand’s new--polyoption to override).
+Custom project skeletons can now skip creating a particular file by including a 0 byte file of that name.
+
See the updated documentation for more information.
++ +CLI Command-line enhancements
+-
+
Colorize and format cli help output.
+unfurl validatewill now validate cloudmap files, TOSCA service templates, and TOSCA DSL Python files. Also added is new--as-templateoption to explicitly treat a file as a blueprint template, as opposed an ensemble (eg. like ensemble-template.yaml).
+Rename
unfurl undeploytounfurl teardown(“undeploy” stills works but is now undocumented).
+The Job family of commands now accept multiple
--instanceoptions
+unfurl runadds a--saveoption.
+unfurl home --initnow accepts the--var,--skeleton, and--polyx options.
+When running an unreleased version of Unfurl,
unfurl versionwill append prerelease and build id segments conforming to the semantic version 2.0 syntax.
+
+ +TOSCA Python DSL
+Update the tosca package to v0.1.0, which includes the following fixes and enhancements:
+New TOSCA syntax support in the Python DSL:
+-
+
Topology inputs and outputs (TopologyInputs and TopologyOutputs classes)
+Node templates with “substitute” and “select” directives:
+-
+
Allow nodes with those directives to be constructed with missing fields.
+Add Node.substitute() method and substitute_node() and select_node() factory functions to avoid static type errors
+Add “_node_filter” attribute for node templates with the “select” directive.
+
+Serialize attributes that match the pattern “{interface_name}_default_inputs” as interface level operation inputs on TOSCA types or templates.
+Add set_operation() method for setting TOSCA operation definitions directly on template objects.
+Deployment blueprints with the DeploymentBlueprint class.
+The “concat” and “token” TOSCA functions.
+Better support for TOSCA data types that allow undeclared properties:
+-
+
Allow EnvironmentVariables constructor to accept undeclared properties.
+Add OpenDataType.extend() helper method to add undeclared properties.
+
+
Other DSL fixes and changes:
+-
+
loader: support “from tosca_repositories.repo import module” pattern in safe mode.
+support string type annotations containing ‘|’.
+loader: simplify logic and enhance private module separation.
+loader: have install() always set service template basedir.
+Rename Python base classes for TOSCA types. Deprecate old names but keep them as aliases for backwards compatibility.
+loader: execute
__init__.pywhen loading packages in tosca_repositories.
+Fix instance check with ValueTypes (simple TOSCA data types).
+Make sure YAML import statements are generated for templates that reference imported types.
+Have the
to_labelfamily of functions evaluate arguments as needed.
+
YAML to Python DSL conversion improvements:
+-
+
Conversion for the new TOSCA syntax described above.
+Convert templates in the
relationship_templatessection.
+Convert operations declared directly on a template.
+Convert inline relationship templates in node templates.
+Don’t include template objects in
__all__(so importing a topology doesn’t add templates to the outer topology).
+Various stylistic improvements to generated Python code.
+Introduce UNFURL_EXPORT_PYTHON_STYLE=concise environment variable to elide type annotations.
+
+ +Jobs
+-
+
Add remote locking using git lfs to prevent remote jobs from simultaneous running on the same ensemble.
+TOSCA topology inputs can now be specified as part of the job command line, for example
unfurl deploy --var input_foo 1.
+The undeploy plan will now exclude instances whose removal would break required resources that we want to keep operational.
+If present, apply a node template’s node_filter when selecting instances from external ensembles.
+When invoking
unfurl runwith--operationand but no filter (e.g. no--instance) the plan will now include all instances that implement that operation.
+Add a “customized” field to instance status to indicate that it has intentionally diverged from its template and the reconfigure check should be skipped.
+Save job changeset yaml in “changes” directory so it gets committed in the ensemble (without results key to avoid committing sensitive information).
+Track which dependencies were written before they were read and save that in the changeset yaml as a “writeOnly” field (improves incremental update logic).
+Reporting: improved pretty print of outputs in the job summary.
+
+ +YAML/TOSCA Parsing
+-
+
Add
+&: anchor_namemerge directive to support merge includes with YAML aliases independent of YAML parser.
+Make repositories defined in nested includes available immediately during parse time.
+Validate that node templates and artifacts are assigned the proper TOSCA entity type (disabled unless the
UNFURL_VALIDATION_MODEenvironment variable includes “types”).
+Allow metadata on artifact type definitions
+CSAR support: parse metadata in TOSCA.metadata files and merge with service template YAML metadata.
+Add an optional second argument get_input TOSCA function to use as a default value if the input is missing (instead raising a validation error).
+support “key_schema” field on property definitions when type is “map”.
+Support “type” and “metadata” fields on topology outputs
+Fix node_filter matching
+Fix validation of semantic versions with a build metadata segment.
+
+ +Other
+-
+
Add support for Python 3.13
+Modernize Unfurl’s Python packaging.
+loader: only search repository directories when loading secrets (for performance).
+logs: sanitize sensitive url parameters
+server: Switch built-in http server from Uvicorn to Waitress.
+ansible: have ansible-galaxy use the current Python interpreter
+artifacts: update version of community.docker ansible collection
+cloudmap: Add json-schema validation of cloudmap.yaml.
+runtime: Add a few circular topology guards.
+json export: Always include a DeploymentTemplate in blueprint and deployment formats.
+
v1.1.0 - 2024-4-02
-- Major changes
++ Major changes
Ansible configurator
-
@@ -355,8 +533,8 @@
Prior to this release all imports shared the same namespace for types. For example, one imported file could reference a type declared in another file if both those files happened to be both imported by another service template.
Other Features -
Breaking changes
++ Breaking changes
Minor Enhancements and Notable Bug Fixes
v0.9.1 - 2023-10-25
-- Features
++ Features
TOSCA and Python DSL
-
@@ -436,8 +614,8 @@
TOSCA and Python DSL
Release 0.0.5 version of the Python tosca package.
- -Packages
++ Packages
Allow service templates to declare the unfurl version they are compatible with.
Packages
- Minor Enhancements and Notable Bug Fixes
++ diff --git a/_sources/CHANGELOG.md.txt b/_sources/CHANGELOG.md.txt index 7f79f748..b7a57409 100644 --- a/_sources/CHANGELOG.md.txt +++ b/_sources/CHANGELOG.md.txt @@ -1,5 +1,159 @@ # Changelog for Unfurl +## v1.2.0 - 2024-11-22 + +[Compare with 1.1.0](https://github.com/onecommons/unfurl/compare/v1.1.0...v1.2.0) + +### Major changes + +#### Browser-based UI (experimental) + +This release contains an experimental local port of Unfurl Cloud's [dashboard](https://unfurl.cloud/dashboard) UI, allowing you to view and edit the blueprints and ensembles in a project. + +It is enabled using the new ``--gui`` option on the [unfurl serve](https://docs.unfurl.run/cli.html#unfurl-serve) command, for example: + +``unfurl serve --gui /path/to/your/project`` + +Functionality includes: + +* Adding new deployments (ensembles) to the project and updating the YAML of existing ensembles. Edits are automatically committed to git if the git worktree is clean when the update is saved. +* Edits to environment variables are synchronized with Unfurl Cloud if the local project was cloned from Unfurl Cloud. Otherwise, environment variables are saved in the project's "unfurl.yaml" except ones marked as masked -- in that case they will be saved in "secrets/secrets.yaml" (or in "local/unfurl.yaml" if the project doesn't use vault encryption). +* When creating and editing deployments, the environment's [cloud map](https://docs.unfurl.run/cloudmap.html) (defaults to the [public one](https://github.com/onecommons/cloudmap)) is used as the catalog of blueprint and TOSCA types to search. +* Note that Unfurl's built-in web server is intended for local use only. For more robust scenarios you can run Unfurl as a WSGI app (`unfurl.server.serve:app`) and set the `UNFURL_SERVE_GUI` environment variable to enable GUI mode. Or host your project on an Unfurl Cloud instance. + +#### Rust-based inference engine + +Unfurl now includes a scalable (Rust-based) inference engine that tries to match node templates with missing requirements [TOSCA](https://docs.unfurl.run/tosca.html) based on a requirement's: + +* node and capability types +* relationship's valid_target_types +* node_filter property and capabilities +* node_filter match expressions + +Finding the match for a TOSCA requirement can't be determined with a simple algorithm. For example, a requirement node_filter's match can depend on a property value that is itself computed from a requirement (e.g. via TOSCA's ``get_property`` function). So finding a node filter match might change a property's value, which in turn could affect the node_filter match. Similarly, the inference engine supports Unfurl's `node_filter/requirements` extension, which allows additional constraints to be applied to a target node upon match. + +This extension is optional -- if the extension binary is not found or fails to load, a warning will logged and the TOSCA parser will fall-back to previous behavior. However, topologies that rely on multi-step inference to find matching requirements will fail to find them and report validation errors. + +#### Documentation + +Documentation at [docs.unfurl.run](https://docs.unfurl.run/) has been revamped and expanded. New [Quick Start](https://docs.unfurl.run/quickstart.html) and [Solution Overview](https://docs.unfurl.run/solution-overview.html) chapters have been added and the reference documentation in other chapters has been greatly expanded. + +#### Project creation improvements + +* The unfurl clone command now supports two new sources: TOSCA Cloud Service Archives (CSAR) (a file path with a .csar or .zip extension) and [cloudmap](https://docs.unfurl.run/cloudmap.html) URLs like ``cloudmap:Minor Enhancements and Notable Bug Fixes
parser allow merge keys to be optional, e.g. “+?/a/d”
loader: Add a
UNFURL_OVERWRITE_POLICYenvironment variable to guide the loader’s python to yaml converter.
@@ -472,8 +650,8 @@ The Unfurl package now only depends on the ansible-core package instead of the full ansible package. Unfurl projects that depend on ansible modules installed by that package will not work with new Unfurl installations unless it is installed by some other means – or, better, declare an Ansible collection artifact as a dependency on the template that requires it. For an example, see this usage in the docker-template.yaml.
Allow Ansible collections to be declared as TOSCA artifacts. Some predefined ones are defined here.
Unfurl Server now tracks the dependent repositories accessed when generating cached representations (e.g. for
/export) and uses that information to invalidate cache items when the dependencies change.
diff --git a/README.html b/README.html
index a887e043..aa440061 100644
--- a/README.html
+++ b/README.html
@@ -136,9 +136,9 @@ You are developing an application with several distinct but interconnected services. Even a relatively simple web application has many dependencies that cut across its stack and development and deployment processes. Unfurl can manage that complexity without complicated DevOps processes.
-You have users that want to deploy your application on a variety of different cloud providers and self-hosted configurations. Add a blueprint to your source repository or publish it in a Cloud Map or on Unfurl Cloud, our open-source deployment platform.
-You want to use familiar coding practices and development processes to both develop blueprints and manage operations without depending on costly server infrastructure or having to rely on manual and proprietary admin UI.
+You are developing an application consisting of several interconnected services. Even a relatively simple web application has many dependencies that cut across its stack and development and deployment processes. Unfurl can help manage that complexity without complicated DevOps processes.
+You have users that want to deploy your application on a variety of different cloud providers and self-hosted configurations. Support them by adding an adaptable blueprint to your source repository or publish it in a Cloud Map or on Unfurl Cloud, our open-source deployment platform.
+You want to manage configuration and live resources just like code, using the same development processes – like pull requests and CI pipelines – without costly server infrastructure or having to rely on manual and proprietary admin UI.
Deploy and manage.
+Deploy and Manage.
Share and Collaborate
@@ -267,8 +266,7 @@ Linux or MacOS
Git
-Python (3.8, 3.9, 3.10, 3.11, 3.12, 3.13)
+Python (3.8 - 3.13)
Minor Enhancements and Notable Bug Fixes
v0.9.0 - Friday 10-13-23
-- Features
++ Features
Introduce Python DSL for TOSCA
Write TOSCA as Python modules instead of YAML. Features include:
@@ -567,8 +745,8 @@New Environment Variables -
Minor Enhancements and Notable Bug Fixes
++ Minor Enhancements and Notable Bug Fixes
- 0.8.0 - 2023-07-26
-- Breaking Changes
+0.8.0 - 2023-07-26
+ ++ -Breaking Changes
- Features
++ Features
Introduction
Why use Unfurl?
-
-
@@ -156,10 +156,9 @@ How it worksUnfurl Cloud Standard library for common cloud providers, kubernetes, and self-hosted instances. Or your can easily use your own implementations – Unfurl integrates with tools like Terraform, Ansible, and Helm or you can encapsulate the scripts you already have.
-
-
Unfurl can automatically install missing dependencies. -Deploy Use
+unfurl deployto deploy the infrastructure. It will commit to git the latest configuration and a history of changes to your cloud accounts.Run
unfurl deployto deploy the infrastructure. It will commit to git the latest configuration and a history of changes to your cloud accounts.After the initial deployment, subsequent deployment plans take into account the current state of its resources. This way you can reduce errors by automatically reconfiguring as dependencies and environments change. You can also create custom operations or run ad-hoc commands in the ensemble’s environment.
Installation
-pipx install "git+https://github.com/onecommons/unfurl.git#egg=unfurl"
Alternatively, you can get the Unfurl container image from GitHub or [Docker Hub](https://hub.docker.com/r/onecommons -/unfurl) and run Unfurl from the image:
+Alternatively, you can get the Unfurl container image from GitHub or Docker Hub and run Unfurl from the image:
@@ -278,7 +276,7 @@docker run --rm -it -v $(pwd):/data -w /data onecommons/unfurl:stable unfurl ...
Requirements
Optional: Docker or Podman
``, which will resolve to a git URL. + +* Improved support for managing projects that keep their ensembles in separate git repositories: + + - Stop registering the ensemble with the project when its in a separate repository. + - When creating an ensemble-only repository, add an unfurl.yaml and use that to record the default environment for the ensemble. Add 'ensemble_repository_config' to skeleton vars when creating that file. + - Allow unfurl.yaml files that are alongside ensemble.yaml to be nested inside another Unfurl project. + - Cloning a remote repository containing ensembles will no longer create a new ensemble unless the clone source explicitly pointed at one. + +The net effect of these changes is that the outer and inner repositories can be cloned separately without requiring manual reconfiguration. + +* Support source URLs with a relative "file:" scheme and an URL fragment like `#ref:file/path` to enable remote clone semantics for local git repos. + +* When adding a ensemble to an existing project, if the `--use-environment` option names an environment that doesn't exist, it will now be added to the project's unfurl.yaml. + +* A blueprint project (a project created with --empty) will no longer have a vault password created unless a VAULT_PASSWORD skeleton var is set. + +* You can now hard-code TOSCA topology inputs when creating an ensemble by passing skeleton vars prefixed with "input_", e.g. `--var input_foo 0`. + +* Creating the unfurl home project is now a monorepo project by default (use `unfurl home` command's new `--poly` option to override). + +* Custom project skeletons can now skip creating a particular file by including a 0 byte file of that name. + +See the updated [documentation](https://docs.unfurl.run/projects.html#cloning-projects-and-ensembles) for more information. + +#### CLI Command-line enhancements + +* Colorize and format cli help output. +* `unfurl validate` will now validate cloudmap files, TOSCA service templates, and TOSCA DSL Python files. Also added is new `--as-template` option to explicitly treat a file as a blueprint template, as opposed an ensemble (eg. like ensemble-template.yaml). +* Rename ``unfurl undeploy`` to ``unfurl teardown`` ("undeploy" stills works but is now undocumented). +* The [Job family](https://docs.unfurl.run/cli.html#unfurl-deploy-commands) of commands now accept multiple `--instance` options +* `unfurl run` adds a `--save` option. +* `unfurl home --init` now accepts the `--var`, `--skeleton`, and `--poly`x options. +* When running an unreleased version of Unfurl, `unfurl version` will append prerelease and build id segments conforming to the semantic version 2.0 syntax. + +#### TOSCA Python DSL + +Update the tosca package to v0.1.0, which includes the following fixes and enhancements: + +New TOSCA syntax support in the Python DSL: + +* Topology inputs and outputs (TopologyInputs and TopologyOutputs classes) +* Node templates with "substitute" and "select" directives: + - Allow nodes with those directives to be constructed with missing fields. + - Add Node.substitute() method and substitute_node() and select_node() factory functions to avoid static type errors + - Add "_node_filter" attribute for node templates with the "select" directive. +* Serialize attributes that match the pattern "{interface_name}_default_inputs" as interface level operation inputs on TOSCA types or templates. +* Add set_operation() method for setting TOSCA operation definitions directly on template objects. +* Deployment blueprints with the DeploymentBlueprint class. +* The "concat" and "token" TOSCA functions. +* Better support for TOSCA data types that allow undeclared properties: + - Allow EnvironmentVariables constructor to accept undeclared properties. + - Add OpenDataType.extend() helper method to add undeclared properties. + +Other DSL fixes and changes: + +* loader: support "from tosca_repositories.repo import module" pattern in safe mode. +* support string type annotations containing '|'. +* loader: simplify logic and enhance private module separation. +* loader: have install() always set service template basedir. +* Rename Python base classes for TOSCA types. Deprecate old names but keep them as aliases for backwards compatibility. +* loader: execute `__init__.py` when loading packages in tosca_repositories. +* Fix instance check with ValueTypes (simple TOSCA data types). +* Make sure YAML import statements are generated for templates that reference imported types. +* Have the `to_label` family of functions evaluate arguments as needed. + +YAML to Python DSL conversion improvements: + +* Conversion for the new TOSCA syntax described above. +* Convert templates in the `relationship_templates` section. +* Convert operations declared directly on a template. +* Convert inline relationship templates in node templates. +* Don't include template objects in `__all__` (so importing a topology doesn't add templates to the outer topology). +* Various stylistic improvements to generated Python code. +* Introduce UNFURL_EXPORT_PYTHON_STYLE=concise environment variable to elide type annotations. + +#### Jobs + +* Add [remote locking](https://docs.unfurl.run/jobs.html#locking) using git lfs to prevent remote jobs from simultaneous running on the same ensemble. +* TOSCA topology inputs [can now be specified](https://docs.unfurl.run/runtime.html#topology-inputs) as part of the job command line, for example `unfurl deploy --var input_foo 1`. +* The [undeploy plan](https://docs.unfurl.run/jobs.html#undeploy-teardown) will now exclude instances whose removal would break required resources that we want to keep operational. +* If present, apply a node template's node_filter when selecting instances from external ensembles. +* When invoking `unfurl run` with `--operation` and but no filter (e.g. no `--instance`) the plan will now include all instances that implement that operation. +* [Add a "customized" field](https://docs.unfurl.run/jobs.html#applying-configuration-changes) to instance status to indicate that it has intentionally diverged from its template and the reconfigure check should be skipped. +* Save job changeset yaml in "changes" directory so it gets committed in the ensemble (without results key to avoid committing sensitive information). +* Track which dependencies were written before they were read and save that in the changeset yaml as a "writeOnly" field (improves incremental update logic). +* Reporting: improved pretty print of outputs in the job summary. + +#### YAML/TOSCA Parsing + +* Add `+&: anchor_name` merge directive to support merge includes with YAML aliases independent of YAML parser. +* Make repositories defined in nested includes available immediately during parse time. +* Validate that node templates and artifacts are assigned the proper TOSCA entity type (disabled unless the `UNFURL_VALIDATION_MODE` environment variable includes "types"). +* Allow metadata on artifact type definitions +* CSAR support: parse metadata in TOSCA.metadata files and merge with service template YAML metadata. +* Add an optional second argument get_input TOSCA function to use as a default value if the input is missing (instead raising a validation error). +* support "key_schema" field on property definitions when type is "map". +* Support "type" and "metadata" fields on topology outputs +* Fix node_filter matching +* Fix validation of semantic versions with a build metadata segment. + +#### Other + +* Add support for Python 3.13 +* Modernize Unfurl's Python packaging. +* loader: only search repository directories when loading secrets (for performance). +* logs: sanitize sensitive url parameters +* server: Switch built-in http server from Uvicorn to Waitress. +* ansible: have ansible-galaxy use the current Python interpreter +* artifacts: update version of community.docker ansible collection +* cloudmap: Add json-schema validation of cloudmap.yaml. +* runtime: Add a few circular topology guards. +* json export: Always include a DeploymentTemplate in blueprint and deployment formats. + ## v1.1.0 - 2024-4-02 [Compare with 1.0.0](https://github.com/onecommons/unfurl/compare/v1.0.0...v1.1.0) diff --git a/_sources/README.md.txt b/_sources/README.md.txt index cc51de39..f4d09b4f 100644 --- a/_sources/README.md.txt +++ b/_sources/README.md.txt @@ -18,11 +18,11 @@ The best way to manage your Unfurl project is to use [Unfurl Cloud](https://unfu ## Why use Unfurl? -* You are developing an application with several distinct but interconnected services. Even a relatively simple web application has many dependencies that cut across its stack and development and deployment processes. Unfurl can [manage that complexity without complicated DevOps processes](https://www.unfurl.cloud/blog/why-unfurl). +* You are developing an application consisting of several interconnected services. Even a relatively simple web application has many dependencies that cut across its stack and development and deployment processes. Unfurl can help [manage that complexity without complicated DevOps processes](https://www.unfurl.cloud/blog/why-unfurl). -* You have users that want to deploy your application on a variety of different cloud providers and self-hosted configurations. Add a blueprint to your source repository or publish it in a [Cloud Map](https://docs.unfurl.run/cloudmap.html) or on [Unfurl Cloud](https://unfurl.cloud), our open-source deployment platform. +* You have users that want to deploy your application on a variety of different cloud providers and self-hosted configurations. Support them by adding an adaptable blueprint to your source repository or publish it in a [Cloud Map](https://docs.unfurl.run/cloudmap.html) or on [Unfurl Cloud](https://unfurl.cloud), our open-source deployment platform. -* You want to use familiar coding practices and development processes to both develop blueprints and manage operations without depending on costly server infrastructure or having to rely on manual and proprietary admin UI. +* You want to manage configuration and live resources just like code, using the same development processes -- like pull requests and CI pipelines -- without costly server infrastructure or having to rely on manual and proprietary admin UI. ## How it works @@ -38,10 +38,9 @@ Avoid tedious and error prone low-level configuration by creating a cloud bluepr Unfurl instantiates your blueprint by building a deployment plan using implementations appropriate for the environment you are deploying into. For predefined types you can use our [Unfurl Cloud Standard library](https://unfurl.cloud/onecommons/std) for common cloud providers, kubernetes, and self-hosted instances. Or your can easily use your own implementations -- Unfurl integrates with tools like Terraform, Ansible, and Helm or you can encapsulate the scripts you already have. -4. Deploy and manage. +4. Deploy and Manage. -Unfurl can automatically install missing dependencies. -Deploy Use `unfurl deploy` to deploy the infrastructure. It will commit to git the latest configuration and a history of changes to your cloud accounts. +Run `unfurl deploy` to deploy the infrastructure. It will commit to git the latest configuration and a history of changes to your cloud accounts. After the initial deployment, subsequent deployment plans take into account the current state of its resources. This way you can reduce errors by automatically reconfiguring as dependencies and environments change. You can also create custom operations or run ad-hoc commands in the ensemble's environment. @@ -136,8 +135,7 @@ You can also install `unfurl` directly from this repository to get the latest co pipx install "git+https://github.com/onecommons/unfurl.git#egg=unfurl" ``` -Alternatively, you can get the Unfurl container image from [GitHub](https://github.com/onecommons/unfurl/pkgs/container/unfurl) or [Docker Hub](https://hub.docker.com/r/onecommons -/unfurl) and run Unfurl from the image: +Alternatively, you can get the Unfurl container image from [GitHub](https://github.com/onecommons/unfurl/pkgs/container/unfurl) or [Docker Hub](https://hub.docker.com/r/onecommons/unfurl) and run Unfurl from the image: ``` docker run --rm -it -v $(pwd):/data -w /data onecommons/unfurl:stable unfurl ... @@ -149,7 +147,7 @@ The `stable` tag matches the version published to PyPi; `latest` is the latest c - Linux or MacOS - Git -- Python (3.8, 3.9, 3.10, 3.11, 3.12, 3.13) +- Python (3.8 - 3.13) Optional: Docker or Podman diff --git a/_sources/expressions.rst.txt b/_sources/expressions.rst.txt index a03b2d38..21a12063 100644 --- a/_sources/expressions.rst.txt +++ b/_sources/expressions.rst.txt @@ -17,8 +17,8 @@ Stand-alone functions don't need to be wrapped in an "eval". :std:ref:`concat` ``[ string* ]`` `get_artifact` ``[ template_name, artifact_name]`` `get_attribute` ``[ template_name, req_or_cap_name?, property_name, index_or_key* ]`` - :std:ref:`get_env` :regexp:`[ name, default? return ] | name` - :std:ref:`get_input` ``name`` + :std:ref:`get_env` :regexp:`name | [ name, default? ]` + :std:ref:`get_input` :regexp:`name | [ name, default? ]` :std:ref:`get_nodes_of_type` ``type_name`` `get_property` ``[ template_name, req_or_cap_name?, property_name, index_or_key* ]`` :std:ref:`has_env` ``name`` @@ -75,6 +75,8 @@ get_input The get_input function is used to retrieve the values of properties declared within the inputs section of a TOSCA Service Template. See :tosca_spec:`TOSCA Property Functions <_Toc50125513>` + If a default argument is not supplied and the input is missing, a validation error is raised. + get_nodes_of_type ^^^^^^^^^^^^^^^^^ diff --git a/_sources/projects.rst.txt b/_sources/projects.rst.txt index 63b94f8c..1483fe5f 100644 --- a/_sources/projects.rst.txt +++ b/_sources/projects.rst.txt @@ -283,15 +283,13 @@ By default, a separate, local git repository will be created for the ensemble. U Keeping the ensemble repository separate from the project repository is useful if the resources the ensemble creates are transitory or if you want to restrict access to them. -Using the ``--submodule`` option allows those repositories to be easily packaged and shared with the project repository -but still maintain separate access control and git history for each ensemble. +Using the ``--submodule`` option allows those repositories to be easily packaged and shared with the project repository but still maintain separate access control and git history for each ensemble. -Ensemble will have a vault password created. -Only add a vault password to local/unfurl.yaml and secrets/secrets.yaml if the VAULT_PASSWORD skeleton variable is set or if the project is in a repository containing an ensemble or ensemble submodule. If VAULT_PASSWORD is missing or empty, autogenerate the password. +Creating an ensemble in a new repository will add a ``vault_secrets`` secret with a generated password to ``local/unfurl.yaml`` and add a ``secrets/secrets.yaml`` file to the repository. Or in any new project by setting the `VAULT_PASSWORD skeleton variable `. .. important:: - Store the vault password found in ``ensemble/local/unfurl.yaml`` in a safe place! By default this password is used to encrypt any sensitive data committed to repository. See :doc:`secrets` for more information. + Store the vault password found in ``ensemble/local/unfurl.yaml`` in a safe place! This password is used to encrypt any sensitive data committed to repository. See :doc:`secrets` for more information. Project Skeletons ----------------- @@ -302,29 +300,6 @@ The ``--skeleton`` option lets you specify an alternative to the default project You can pass skeleton variables to the skeleton Jinj2a templates using the ``--var`` option, like the example `below `. -.. _publish_project: - -Publishing your project -======================= - -You can publish and share your projects like any git repository. -If you want to publish local git repositories on a git hosting service like github.com -(e.g. ones created by ``unfurl init`` or ``unfurl clone``) follow these steps: - -1. Create corresponding empty remote git repositories. -2. Set the new repositories as the remote origins for your local repositories - with this command: - - ``git remote set-url origin `` - - Or, if the repository is a git submodule (see :cli:`--submodule `) use: - - ``git submodule set-url `` - -3. Commit any needed changes in the repositories with ``unfurl commit``. (Use ``unfurl git-status`` to see the uncommitted files across the project's repositories.) - -4. Running ``unfurl git push`` will push all the repositories in the project. - Cloning projects and ensembles ============================== @@ -377,7 +352,7 @@ Create a new project from a CSAR archive Create a new ensemble from source ---------------------------------- -A new ensemble is created when: +Clone can create a new ensemble when: * `` `` explicitly points to an ensemble template or a TOSCA service template, a new ensemble is created from the template. * `` `` explicitly points to an ensemble. A new ensemble is created from that source (just the "spec" section is copied, not the status and it will have new `uri `). @@ -407,11 +382,36 @@ Notes * This step can be skipped if your project is hosted on `Unfurl Cloud`_, clone will retrieve the value password from `Unfurl Cloud`_. +.. _publish_project: + +Publishing your project +======================= + +You can publish and share your projects like any git repository. +If you want to publish local git repositories on a git hosting service like github.com +(e.g. ones created by ``unfurl init`` or ``unfurl clone``) follow these steps: + +1. Create corresponding empty remote git repositories. +2. Set the new repositories as the remote origins for your local repositories + with this command: + + ``git remote set-url origin `` + + Or, if the repository is a git submodule (see :cli:`--submodule `) use: + + ``git submodule set-url `` + +3. Commit any needed changes in the repositories with ``unfurl commit``. (Use ``unfurl git-status`` to see the uncommitted files across the project's repositories.) + +4. Running ``unfurl git push`` will push all the repositories in the project. + Browser-based Admin User Interface ================================== .. automodule:: unfurl.server.gui +See `Browser-based UI (experimental)` for more information. + Unfurl Home =========== diff --git a/_sources/quickstart.rst.txt b/_sources/quickstart.rst.txt index aa7ea8f4..128d86e7 100644 --- a/_sources/quickstart.rst.txt +++ b/_sources/quickstart.rst.txt @@ -4,7 +4,7 @@ Quick start This section will introduce you to Unfurl by creating a simple project that deploys a web application. Once you get this working, you can customize it for your own application. .. tip:: - The steps here follow the high-level overview of Unfurl found in the `solution-overview` section. + The steps here follow the high-level overview of Unfurl found in the `solution-overview` chapter. Step 1 Create a project ----------------------- diff --git a/_sources/runtime.rst.txt b/_sources/runtime.rst.txt index 20ca9e47..d6d38c77 100644 --- a/_sources/runtime.rst.txt +++ b/_sources/runtime.rst.txt @@ -144,3 +144,5 @@ You can add or override inputs when a job is run from the command line by passin will set ``foo`` to 1, overriding ``spec\inputs``. +Note that inputs passed via ``--var`` on the command line as parsed as YAML strings, as if they were embedded in the ensemble's YAML file. + diff --git a/_sources/secrets.rst.txt b/_sources/secrets.rst.txt index 6272e025..bdd168f4 100644 --- a/_sources/secrets.rst.txt +++ b/_sources/secrets.rst.txt @@ -38,7 +38,15 @@ You can apply any of these techniques to different secrets and projects can inhe Sensitive Values ---------------- -You can mark configuration data as sensitive. If you have Ansible Vault ids associated with your ensemble that will be saved encrypted, if not, they will be saved as "<< >>". When loading a YAML configuration file, any Vault data will be decrypted and any attribute with a value of "<< >>" will be omitted. By default, ``unfurl init`` will generate a random Ansible Vault key to your local secrets (found in ``local/unfurl.yaml``) and so any data marked sensitive will be encrypted. + +You can mark configuration data as sensitive in their TOSCA definitions or by using the :std:ref:`sensitive` expression function. When those values are saved in YAML, if you have Ansible Vault secret associated with your ensemble, their encrypted values will be embedded, if not, they will be saved as "<< >>". When loading a YAML configuration file, any Vault data will be decrypted and any attribute with a value of "<< >>" will be omitted. + +Vault secrets +------------- + +When creating a new ensemble via a ``unfurl init`` or ``unfurl clone``, if a new git repository is created (either because its a new project or because the ensemble uses a separate repository) will add a ``vault_secrets`` secret with a generated password to ``local/unfurl.yaml`` and ``secrets/secrets.yaml`` file added to the repository -- see `Project files`. + +You can force this in any new project by passing the``VAULT_PASSWORD`` skeleton variable to ``unfurl init`` or ``unfurl clone``. See `setting ` for an example. .. important:: diff --git a/_sources/solution-overview.rst.txt b/_sources/solution-overview.rst.txt index bd8fddba..69c33b3c 100644 --- a/_sources/solution-overview.rst.txt +++ b/_sources/solution-overview.rst.txt @@ -3,14 +3,14 @@ Solution Overview In this section, we will go through each step involved in whole process from deploying the changes to production to pushing everything on git. The figure below gives a high level overview of each step. -.. image:: images/unfurl_overview.png +.. figure:: images/unfurl_overview.png :align: center -* :ref:`Step 1: Create an Unfurl Project ` -* :ref:`Step 2: Create a cloud blueprint ` -* :ref:`Step 3: Instantiate blueprint ` -* :ref:`Step 4: Deploy and manage ` -* :ref:`Step 5: Share and Collaborate ` + Solution overview + +.. contents:: + :local: + :depth: 1 .. _step1: @@ -25,7 +25,7 @@ At the center of Unfurl are Unfurl projects. They provide an easy way to track a Unfurl projects are self-contained -- a project is just a collection of files in a directory. The main components of an Unfurl project are blueprints, environments, and ensembles (deployments): -**Blueprints** are the models described in the `next step `, **ensembles** are described in `Step 4: Deploy and manage`. **Environments** are used to create isolated contexts that deployment process runs in. For example, you might create different context for different projects or different deployment environments such as **production** or **staging**. +**Blueprints** are the models described in the `next step `, **ensembles** are described in `Step 4: Deploy and Manage`. **Environments** are used to create isolated contexts that deployment process runs in. For example, you might create different context for different projects or different deployment environments such as **production** or **staging**. Some of supported configuration including: @@ -59,7 +59,7 @@ Unfurl home and other Unfurl projects can include a Unfurl execution runtime whi .. _step2: -Step 2: Create a cloud blueprint +Step 2: Create a Cloud Blueprint --------------------------------------- .. image:: images/step2.png @@ -68,21 +68,17 @@ Step 2: Create a cloud blueprint The next step after creating a project is to create a blueprint that describe your application's architecture in terms its resources it consumes (e.g. compute instances), the services it requires (e.g. a database) and the artifacts it consists of (e.g. a Docker container image or a software package). -These components can be declared in YAML or `python ` using OASIS’s Topology and Orchestration Specification for Cloud Applications (`TOSCA`) standard. - -TOSCA is a simple, declarative, object-oriented language for specifying a graph (a "topology") of resources. - -Resources are specified with "node templates" that defined the properties, requirements, and operations needed to instantiate and manage the resource. +These components can be declared in YAML or `Python ` using OASIS’s Topology and Orchestration Specification for Cloud Applications (`TOSCA`) standard. TOSCA is a simple, declarative, object-oriented language for specifying a graph (a "topology") of resources. Resources are specified with "node templates" that defined the properties, requirements, and operations needed to instantiate and manage the resource. These can be declared directly on a template or by defining reusable types. So, depending on your needs, you can use TOSCA to provide ad-hoc, simple encapsulation of configuration files. Or you can use it to define a graph of strongly-typed nodes and relationships with a type hierarchy to enable reusable, cloud-provider agnostic models. -TOSCA is an abstract model: it doesn't specify what a node template or resource might correspond to in the real world. But the TOSCA 1.3 specification does define an optional set of abstract types for common resources and Unfurl extends those with its on built-in types. In addition, the |stdlib|_ provides concrete types with implementations for common cloud providers like AWS and Kubernetes clusters. +TOSCA is an abstract model: it doesn't specify what a node template or resource might correspond to in the real world. But the TOSCA 1.3 specification does define an optional set of abstract types for common resources and Unfurl extends those with its own built-in types. In addition, the |stdlib|_ provides concrete types with implementations for common cloud providers like AWS and Kubernetes clusters. And you don't need to build a blueprint from scratch -- you can start with one of our `project templates ` we can leverage Python's IDE and tooling integrations and take advantage of the rich ecosystem that already exists, for example, for code completion and navigation or for unit testing. See https://www.unfurl.cloud/blog/why-unfurl for more. +By using our `Python DSL ` we can leverage Python's IDE and tooling integrations and give you access to the same tools you have available to you when working with a `modern programming language and development environment ` work in collaborative as they commit to git and designed for merging and review. +All the management features described in the `previous step ` work in collaborative as they commit to git and designed for merging and review. Some other features designed for collaborative operations: diff --git a/_sources/tosca.rst.txt b/_sources/tosca.rst.txt index 607760c8..d4c512ed 100644 --- a/_sources/tosca.rst.txt +++ b/_sources/tosca.rst.txt @@ -94,33 +94,13 @@ Example This example defines a node type named "MyApplication" that inherits from the "tosca.nodes.SoftwareComponent" node type. -.. code:: yaml +.. tab-set-code:: - node_types: - MyApplication: - derived_from: tosca.nodes.SoftwareComponent - attributes: - private_address: - type: string - properties: - domain: - type: string - default: { get_input: domain } - ports: - type: tosca.datatypes.network.PortSpec - requirements: - - host: - capabilities: tosca.capabilities.Compute - relationship: tosca.relationships.HostedOn - - db: - capabilities: capabilities.postgresdb - relationship: tosca.relationships.ConnectsTo - interfaces: - # TOSCA defines Standard interface for lifecycle management but you can define your own too - Standard: - create: create.sh - configure: configure.sh - delete: delete.sh + .. literalinclude:: ./examples/tosca-type-example.yaml + :language: yaml + + .. literalinclude:: ./examples/tosca-type-example.py + :language: python Topology Template ^^^^^^^^^^^^^^^^^^ @@ -155,36 +135,13 @@ A Node Template defines a node that gets instantiated into an instance (or resou Example ------- -.. code:: yaml +.. tab-set-code:: - node_templates: - - myApp: - type: myApplication - artifacts: - image: - type: tosca.artifacts.Deployment.Image.Container.Docker - file: myapp:latest - repository: docker_hub - requirements: - - host: compute - - db: - node: mydb - relationship: mydb_connection - - mydb: - type: PostgresDB - properties: - name: mydb - - compute: - type: unfurl.nodes.Compute - capabilities: - host: - properties: - num_cpus: 1 - disk_size: 200GB - mem_size: 512MB + .. literalinclude:: ./examples/tosca-node-template.yaml + :language: yaml + + .. literalinclude:: ./examples/tosca-node-template.py + :language: python Requirements and Relationships diff --git a/_static/documentation_options.js b/_static/documentation_options.js index 3bbee776..f1c08864 100644 --- a/_static/documentation_options.js +++ b/_static/documentation_options.js @@ -1,6 +1,6 @@ var DOCUMENTATION_OPTIONS = { URL_ROOT: document.getElementById("documentation_options").getAttribute('data-url_root'), - VERSION: '1.1.2-dev.247', + VERSION: '1.2.0', LANGUAGE: 'None', COLLAPSE_INDEX: false, BUILDER: 'html', diff --git a/expressions.html b/expressions.html index fe7535ce..968cd9ce 100644 --- a/expressions.html +++ b/expressions.html @@ -175,10 +175,10 @@ TOSCA functions and other stand-alone fun
[ template_name, req_or_cap_name?, property_name, index_or_key* ]- [ name, default? return ] | namename | [ name, default? ]- namename | [ name, default? ]type_nameget_envTOSCA Property Functions +
If a default argument is not supplied and the input is missing, a validation error is raised.
diff --git a/index.html b/index.html index 6c0140f8..230f0bc2 100644 --- a/index.html +++ b/index.html @@ -133,9 +133,9 @@ -Table of ContentsSolution Overview
- Step 1: Create an Unfurl Project -
- Step 2: Create a cloud blueprint -
- Step 3: Instantiate your blueprint -
- Step 4: Deploy and manage +
- Step 2: Create a Cloud Blueprint +
- Step 3: Instantiate your Blueprint +
- Step 4: Deploy and Manage
- Step 5: Share and Collaborate
Table of ContentsEnvironments
- External ensembles
- Creating projects
-- Publishing your project
- Cloning projects and ensembles
+- Publishing your project
- Browser-based Admin User Interface
- Unfurl Home
- Execution Runtime
@@ -219,6 +219,7 @@Table of ContentsManaging Secrets @@ -289,11 +290,12 @@
Table of ContentsChangelog for Unfurl diff --git a/objects.inv b/objects.inv index b56ca941..89bc76a6 100644 Binary files a/objects.inv and b/objects.inv differ diff --git a/projects.html b/projects.html index 2e35e8f8..cd7b5c76 100644 --- a/projects.html +++ b/projects.html @@ -88,7 +88,6 @@
- Project Skeletons
-- Publishing your project
- Cloning projects and ensembles
+- Clone a project
- Clone an ensemble @@ -97,6 +96,7 @@
- Notes
- Publishing your project
- Browser-based Admin User Interface
- Unfurl Home
- Creating Unfurl Home @@ -164,8 +164,8 @@
Unfurl ProjectsEnvironments
- -
- -
- +
- +
- @@ -397,13 +397,11 @@
Creating projects--mono flag to add the ensemble to the project’s git repository or use the
--submoduleflag to add the ensemble’s git repository as a submodule of the project’s git repository.Keeping the ensemble repository separate from the project repository is useful if the resources the ensemble creates are transitory or if you want to restrict access to them. -Using the
---submoduleoption allows those repositories to be easily packaged and shared with the project repository -but still maintain separate access control and git history for each ensemble.Ensemble will have a vault password created. -Only add a vault password to local/unfurl.yaml and secrets/secrets.yaml if the VAULT_PASSWORD skeleton variable is set or if the project is in a repository containing an ensemble or ensemble submodule. If VAULT_PASSWORD is missing or empty, autogenerate the password.
+Using the--submoduleoption allows those repositories to be easily packaged and shared with the project repository but still maintain separate access control and git history for each ensemble. +Creating an ensemble in a new repository will add a
vault_secretssecret with a generated password tolocal/unfurl.yamland add asecrets/secrets.yamlfile to the repository. Or in any new project by setting the VAULT_PASSWORD skeleton variable.Important
-Store the vault password found in
+ensemble/local/unfurl.yamlin a safe place! By default this password is used to encrypt any sensitive data committed to repository. See Managing Secrets for more information.Store the vault password found in
ensemble/local/unfurl.yamlin a safe place! This password is used to encrypt any sensitive data committed to repository. See Managing Secrets for more information.Project Skeletons
@@ -412,25 +410,8 @@Project Skeletons--var option, like the example below.
- Publishing your project
-You can publish and share your projects like any git repository. -If you want to publish local git repositories on a git hosting service like github.com -(e.g. ones created by
-unfurl initorunfurl clone) follow these steps:-
-
Create corresponding empty remote git repositories.
-Set the new repositories as the remote origins for your local repositories -with this command:
-
-git remote set-url origin <remote-url>Or, if the repository is a git submodule (see –submodule) use:
-
-git submodule set-url <submodule-path> <remote-url>
-Commit any needed changes in the repositories with
unfurl commit. (Useunfurl git-statusto see the uncommitted files across the project’s repositories.)
-Running
unfurl git pushwill push all the repositories in the project.
-
- diff --git a/searchindex.js b/searchindex.js index 70231b3e..03d21699 100644 --- a/searchindex.js +++ b/searchindex.js @@ -1 +1 @@ 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for Unfurl","Introduction","Python API","Command Line","Cloud Maps","Configurators","A TOSCA Python-based DSL","Ensembles","Expression Functions","Unfurl Specific","Getting Started","Glossary","Unfurl documentation","Jobs and Workflows","Configuration Files","Repositories and Packages","Template Processing","Unfurl Projects","Quick start","Runtime Environment","Managing Secrets","Solution Overview","TOSCA","Type Definitions","TOSCA Language Reference","Data Types","Groups","Workflows","Imports","Inputs","Interfaces","Node Templates","Node Types","Other Types","Outputs","Policy","Relationship Templates","Repositories","Requirements","Substitution Mappings","Topology Template","Metadata 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\ No newline at end of file diff --git a/secrets.html b/secrets.html index cf32a86e..dbe4994c 100644 --- a/secrets.html +++ b/secrets.html @@ -61,6 +61,7 @@Cloning projects and ensembles
+Cloning projects and ensembles
Use the unfurl clone command to clone projects and ensembles. Its syntax is:
@@ -466,7 +447,7 @@unfurl clone [options] <source> [<dest>]
Create a new project from a CSAR archive
Create a new ensemble from source
-A new ensemble is created when:
+Clone can create a new ensemble when:
<source>explicitly points to an ensemble template or a TOSCA service template, a new ensemble is created from the template.<source>explicitly points to an ensemble. A new ensemble is created from that source (just the “spec” section is copied, not the status and it will have new uri).
@@ -495,6 +476,23 @@
Notes
+ Publishing your project
+You can publish and share your projects like any git repository. +If you want to publish local git repositories on a git hosting service like github.com +(e.g. ones created by
+unfurl initorunfurl clone) follow these steps:-
+
Create corresponding empty remote git repositories.
+Set the new repositories as the remote origins for your local repositories +with this command:
+
+git remote set-url origin <remote-url>Or, if the repository is a git submodule (see –submodule) use:
+
+git submodule set-url <submodule-path> <remote-url>
+Commit any needed changes in the repositories with
unfurl commit. (Useunfurl git-statusto see the uncommitted files across the project’s repositories.)
+Running
unfurl git pushwill push all the repositories in the project.
+
Browser-based Admin User Interface
Running
@@ -506,6 +504,7 @@unfurl serve --gui /path/to/your/projectwill start Unfurl’s built-in web server (at http://127.0.0.1:8081 by default, see unfurl serve for more options).Notes
For development, you can instead set the
+UNFURL_GUI_DIRenvironment variable to point to your local clone of the unfurl-gui repository. You’ll need to either build the release distribution withyarn buildor runyarn servethere and set theUNFURL_GUI_WEBPACK_ORIGINenvironment variable to its URL.See Browser-based UI (experimental) for more information.
Unfurl Home
diff --git a/quickstart.html b/quickstart.html index 9b385603..81ea15ea 100644 --- a/quickstart.html +++ b/quickstart.html @@ -109,7 +109,7 @@Quick start
Tip
-The steps here follow the high-level overview of Unfurl found in the Solution Overview section.
+The steps here follow the high-level overview of Unfurl found in the Solution Overview chapter.
Step 1 Create a project
diff --git a/runtime.html b/runtime.html index 53d21f3a..25914f13 100644 --- a/runtime.html +++ b/runtime.html @@ -348,6 +348,7 @@Topology Inputsfoo to 1, overriding
spec\inputs. +Note that inputs passed via
--varon the command line as parsed as YAML strings, as if they were embedded in the ensemble’s YAML file.- Repositories and Packages
- Managing Secrets
@@ -137,7 +138,12 @@Managing Secrets
Sensitive Values
-You can mark configuration data as sensitive. If you have Ansible Vault ids associated with your ensemble that will be saved encrypted, if not, they will be saved as “<<<Redacted>>>”. When loading a YAML configuration file, any Vault data will be decrypted and any attribute with a value of “<<<Redacted>>>” will be omitted. By default,
+unfurl initwill generate a random Ansible Vault key to your local secrets (found inlocal/unfurl.yaml) and so any data marked sensitive will be encrypted.You can mark configuration data as sensitive in their TOSCA definitions or by using the sensitive expression function. When those values are saved in YAML, if you have Ansible Vault secret associated with your ensemble, their encrypted values will be embedded, if not, they will be saved as “<<<Redacted>>>”. When loading a YAML configuration file, any Vault data will be decrypted and any attribute with a value of “<<<Redacted>>>” will be omitted.
+ ++ Vault secrets
+When creating a new ensemble via a
+unfurl initorunfurl clone, if a new git repository is created (either because its a new project or because the ensemble uses a separate repository) will add avault_secretssecret with a generated password tolocal/unfurl.yamlandsecrets/secrets.yamlfile added to the repository – see Project files.You can force this in any new project by passing the``VAULT_PASSWORD`` skeleton variable to
unfurl initorunfurl clone. See setting for an example.Important
Store this master Vault password found in
diff --git a/solution-overview.html b/solution-overview.html index 04b6e1bc..771045f4 100644 --- a/solution-overview.html +++ b/solution-overview.html @@ -57,9 +57,9 @@local/unfurl.yamlin a safe place!- Unfurl Runtimes
-- Step 2: Create a cloud blueprint
-- Step 3: Instantiate your blueprint
-- Step 4: Deploy and manage
-
+
- Step 2: Create a Cloud Blueprint +
- Step 3: Instantiate your Blueprint +
- Step 4: Deploy and Manage
- Updating your deployment
- Resource Discovery
- Day-two Operations @@ -121,20 +121,27 @@
- -
- -
- -
- -
- +
- +
- +
- +
- +
Cloud provider and other services’ account settings and credentials.
@@ -165,18 +172,16 @@
Solution Overview
In this section, we will go through each step involved in whole process from deploying the changes to production to pushing everything on git. The figure below gives a high level overview of each step.
-
++ +
++ +Solution overview
+-
-
- Step 1: Create an Unfurl Project
+Step 1: Create an Unfurl Project
At the center of Unfurl are Unfurl projects. They provide an easy way to track and organize all that goes into deploying an application, including configuration, secrets, and artifacts – and record them in git. The goal is to provide isolation and reproducibility while maintaining human-scale, application-centric view of your resources.
Unfurl projects are self-contained – a project is just a collection of files in a directory. The main components of an Unfurl project are blueprints, environments, and ensembles (deployments):
-Blueprints are the models described in the next step, ensembles are described in Step 4: Deploy and manage. Environments are used to create isolated contexts that deployment process runs in. For example, you might create different context for different projects or different deployment environments such as production or staging.
+Blueprints are the models described in the next step, ensembles are described in Step 4: Deploy and Manage. Environments are used to create isolated contexts that deployment process runs in. For example, you might create different context for different projects or different deployment environments such as production or staging.
Some of supported configuration including:
Unfurl Runtimes -
Step 2: Create a cloud blueprint
+Step 2: Create a Cloud Blueprint
The next step after creating a project is to create a blueprint that describe your application’s architecture in terms its resources it consumes (e.g. compute instances), the services it requires (e.g. a database) and the artifacts it consists of (e.g. a Docker container image or a software package).
-These components can be declared in YAML or python using OASIS’s Topology and Orchestration Specification for Cloud Applications (TOSCA) standard.
-TOSCA is a simple, declarative, object-oriented language for specifying a graph (a “topology”) of resources.
-Resources are specified with “node templates” that defined the properties, requirements, and operations needed to instantiate and manage the resource.
+These components can be declared in YAML or Python using OASIS’s Topology and Orchestration Specification for Cloud Applications (TOSCA) standard. TOSCA is a simple, declarative, object-oriented language for specifying a graph (a “topology”) of resources. Resources are specified with “node templates” that defined the properties, requirements, and operations needed to instantiate and manage the resource.
These can be declared directly on a template or by defining reusable types. So, depending on your needs, you can use TOSCA to provide ad-hoc, simple encapsulation of configuration files. Or you can use it to define a graph of strongly-typed nodes and relationships with a type hierarchy to enable reusable, cloud-provider agnostic models.
-TOSCA is an abstract model: it doesn’t specify what a node template or resource might correspond to in the real world. But the TOSCA 1.3 specification does define an optional set of abstract types for common resources and Unfurl extends those with its on built-in types. In addition, the Unfurl Cloud Standard TOSCA library provides concrete types with implementations for common cloud providers like AWS and Kubernetes clusters.
-Using our Python DSL we can leverage Python’s IDE and tooling integrations and take advantage of the rich ecosystem that already exists, for example, for code completion and navigation or for unit testing. See https://www.unfurl.cloud/blog/why-unfurl for more.
+TOSCA is an abstract model: it doesn’t specify what a node template or resource might correspond to in the real world. But the TOSCA 1.3 specification does define an optional set of abstract types for common resources and Unfurl extends those with its own built-in types. In addition, the Unfurl Cloud Standard TOSCA library provides concrete types with implementations for common cloud providers like AWS and Kubernetes clusters. And you don’t need to build a blueprint from scratch – you can start with one of our project templates or fork an existing blueprint.
+By using our Python DSL we can leverage Python’s IDE and tooling integrations and give you access to the same tools you have available to you when working with a modern programming language and development environment – for example, for code completion and navigation or unit testing.
- Step 3: Instantiate your blueprint
+Step 3: Instantiate your Blueprint
Now that we created a project with an environment and a blueprint, we are ready to translate the abstract blueprint into a concrete plan with enough detail so that it can be deployed in the targeted environment.
TOSCA lets you define CRUD (Create/Update/Delete) operations that are associated with resource definitions. Then a TOSCA orchestrator, such as Unfurl, builds a plan that selects operations for your target environment (e.g your cloud provider, or Kubernetes).
@@ -190,7 +195,7 @@Unfurl Runtimes -
Step 4: Deploy and manage
+Step 4: Deploy and Manage
Now we’re ready to deploy the ensemble.
During the deploy stage, a task is run for each operation in the plan, instantiating resources as needed. When an task finishes, a Config Change record is created that records the changes to resources by made by the operation as well as the attributes it accessed. Tracking these dependencies enables efficient updates as the model changes. For more details, see Job Lifecycle.
@@ -226,7 +231,7 @@Day-two Operations -
Step 5: Share and Collaborate
+Step 5: Share and Collaborate
Cloud services don’t exist in isolation and neither do developers. Unfurl makes it easy to share and connect blueprints and ensembles while managing integration and dependencies.
And the design of Unfurl enables open, collaborative processes built around familiar git workflows and package manager concepts.
@@ -239,7 +244,7 @@Collaborative Development
Collaborative Operations
Managing a live, production deployment collaboratively has different challenges than collaborative development. For example, uptime and access control for specific resources is more important and errors have greater consequences.
-Unfurl goes beyond configuration-as-code by also recording resources’ state and status as human-readable text in git. This enables operations to be managed in much the similar development process – pull requests, reviews and approvals, CI pipelines. Simplify and accelerating development.
+Unfurl goes beyond configuration-as-code by also recording resources’ state and status as human-readable text in git. This enables operations to be managed in much the similar development process – pull requests, reviews and approvals, CI pipelines – simplifying and accelerating development.
All the management features described in the previous step work in collaborative as they commit to git and designed for merging and review.
Some other features designed for collaborative operations:
-
diff --git a/tosca.html b/tosca.html
index 422154a9..80896780 100644
--- a/tosca.html
+++ b/tosca.html
@@ -253,33 +253,78 @@
Types
Example
This example defines a node type named “MyApplication” that inherits from the “tosca.nodes.SoftwareComponent” node type.
-node_types: - MyApplication: - derived_from: tosca.nodes.SoftwareComponent - attributes: - private_address: - type: string - properties: - domain: - type: string - default: { get_input: domain } - ports: - type: tosca.datatypes.network.PortSpec - requirements: - - host: - capabilities: tosca.capabilities.Compute - relationship: tosca.relationships.HostedOn - - db: - capabilities: capabilities.postgresdb - relationship: tosca.relationships.ConnectsTo - interfaces: - # TOSCA defines Standard interface for lifecycle management but you can define your own too - Standard: - create: create.sh - configure: configure.sh - delete: delete.sh +
+ +++ +++tosca_definitions_version: tosca_simple_unfurl_1_0_0 +node_types: + MyApplication: + derived_from: tosca.nodes.SoftwareComponent + attributes: + private_address: + type: string + properties: + domain: + type: string + default: { get_input: domain } + ports: + type: tosca.datatypes.network.PortSpec + requirements: + - host: + capability: tosca.capabilities.Compute + relationship: tosca.relationships.HostedOn + - db: + capability: capabilities.postgresdb + relationship: tosca.relationships.ConnectsTo + interfaces: + # TOSCA defines Standard interface for lifecycle management but you can define your own too + Standard: + create: create.sh + configure: configure.sh + delete: delete.sh +
+++import unfurl +from typing import Any, Sequence +import tosca +from tosca import Attribute +import unfurl.configurators.shell +from unfurl.tosca_plugins.expr import get_input + +class MyApplication(tosca.nodes.SoftwareComponent): + domain: str = get_input("domain") + ports: "tosca.datatypes.NetworkPortSpec" + + private_address: str = Attribute() + + host: Sequence[ + "tosca.relationships.HostedOn | tosca.nodes.Compute | tosca.capabilities.Compute" + ] = () + db: "tosca.relationships.ConnectsTo | capabilities_postgresdb" + + def create(self, **kw): + return unfurl.configurators.shell.ShellConfigurator( + command=["create.sh"], + ) + + def configure(self, **kw): + return unfurl.configurators.shell.ShellConfigurator( + command=["configure.sh"], + ) + + def delete(self, **kw): + return unfurl.configurators.shell.ShellConfigurator( + command=["delete.sh"], + )
@@ -290,8 +335,8 @@ Topology Template
Example
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