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* Also update Rego snippets to use future keywords * Fixup of outdated description of Wasm Signed-off-by: Anders Eknert <anders@eknert.com>
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13 KiB
Markdown
404 lines
13 KiB
Markdown
---
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title: Integrating OPA
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kind: documentation
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weight: 65
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restrictedtoc: true
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---
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OPA exposes domain-agnostic APIs that your service can call to manage and
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enforce policies. Read this page if you want to integrate an application,
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service, or tool with OPA.
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When integrating with OPA there are two interfaces to consider:
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* **Evaluation**: OPA's interface for asking for policy decisions. Integrating OPA is primarily focused on integrating an application, service, or tool with OPA's policy evaluation interface. This integration results in policy decisions being decoupled from that application, service, or tool.
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* **Management**: OPA's interface for deploying policies, understanding status, uploading logs, and so on. This integration is typically the same across all OPA instances, regardless what software the evaluation interface is integrated with. Distributing policy, retrieving status, and storing logs in the same way across all OPAs provides a unified management plane for policy across many different software systems.
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This page focuses predominantly on different ways to integrate with OPA's policy evaluation interface and how they compare. For more information about the management interface:
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- See the [Bundle API](../management-bundles) for distributing policy and data to OPA.
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- See the [Status API](../management-status) for collecting status reports on bundle activation and agent health.
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- See the [Decision Log API](../management-decision-logs) for collecting a log of policy decisions made by agents.
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- See the [Health API](../rest-api#health-api) for checking agent deployment readiness and health.
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- See the [Prometheus API endpoint](../monitoring/#prometheus) to obtain insight into performance and errors.
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## Evaluating Policies
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OPA supports different ways to evaluate policies.
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* The [REST API](../rest-api) returns decisions as JSON over HTTP.
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* The [Go API (GoDoc)](https://pkg.go.dev/github.com/open-policy-agent/opa/rego) returns
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decisions as simple Go types (`bool`, `string`, `map[string]interface{}`,
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etc.)
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* [WebAssembly](../wasm) compiles Rego policies into Wasm instructions so they can be embedded and evaluated by any WebAssembly runtime
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* Custom compilers and evaluators may be written to parse evaluation plans in the low-level
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[Intermediate Representation](../ir) format, which can be emitted by the `opa build` command
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* The [SDK](https://pkg.go.dev/github.com/open-policy-agent/opa/sdk) provides high-level APIs for obtaining the output
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of query evaluation as simple Go types (`bool`, `string`, `map[string]interface{}`, etc.)
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### Integrating with the REST API
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To integrate with OPA outside of Go, we recommend you deploy OPA as a host-level
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daemon or sidecar container. When your application or service needs to make
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policy decisions it can query OPA locally via HTTP. Running OPA locally on the
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same host as your application or service helps ensure policy decisions are fast
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and highly-available.
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#### Named Policy Decisions
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Use the [Data API](../rest-api#data-api) to query OPA for _named_ policy decisions:
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```http
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POST /v1/data/<path>
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Content-Type: application/json
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```
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```json
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{
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"input": <the input document>
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}
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```
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The `<path>` in the HTTP request identifies the policy decision to ask for. In
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OPA, every rule generates a policy decision. In the example below there are two
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decisions: `example/authz/allow` and `example/authz/is_admin`.
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```live:authz:module:openable,read_only
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package example.authz
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default allow := false
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allow {
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input.method == "GET"
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input.path == ["salary", input.subject.user]
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}
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allow {
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is_admin
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}
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is_admin {
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input.subject.groups[_] == "admin"
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}
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```
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You can request specific decisions by querying for `<package path>/<rule name>`.
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For example to request the `allow` decision execute the following HTTP request:
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```http
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POST /v1/data/example/authz/allow
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Content-Type: application/json
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```
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```json
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{
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"input": <the input document>
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}
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```
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The body of the request specifies the value of the `input` document to use
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during policy evaluation. For example:
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```http
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POST /v1/data/example/authz/allow
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Content-Type: application/json
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```
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```json
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{
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"input": {
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"method": "GET",
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"path": ["salary", "bob"],
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"subject": {
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"user": "bob"
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}
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}
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}
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```
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OPA returns an HTTP 200 response code if the policy was evaluated successfully.
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Non-HTTP 200 response codes indicate configuration or runtime errors. The policy
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decision is contained in the `"result"` key of the response message body. For
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example, the above request returns the following response:
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```http
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200 OK
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Content-Type: application/json
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```
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```json
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{
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"result": true
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}
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```
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If the requested policy decision is _undefined_ OPA returns an HTTP 200 response
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without the `"result"` key. For example, the following request for `is_admin` is
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undefined because there is no default value for `is_admin` and the input does
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not satisfy the `is_admin` rule body:
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```http
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POST /v1/data/example/authz/is_admin
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Content-Type: application/json
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```
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```json
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{
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"input": {
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"subject": {
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"user": "bob",
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"groups": ["sales", "marketing"]
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}
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}
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}
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```
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The response:
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```http
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200 OK
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Content-Type: application/json
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```
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```json
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{}
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```
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For another example of how to integrate with OPA via HTTP see the [HTTP
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API Authorization](../http-api-authorization) tutorial.
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### Integrating with the Go API
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Use the
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[github.com/open-policy-agent/opa/rego](https://pkg.go.dev/github.com/open-policy-agent/opa/rego)
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package to embed OPA as a library inside services written in Go. To get started
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import the `rego` package:
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```go
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import "github.com/open-policy-agent/opa/rego"
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```
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The `rego` package exposes different options for customizing how policies are
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evaluated. Through the `rego` package you can supply policies and data, enable
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metrics and tracing, toggle optimizations, etc. In most cases you will:
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1. Use the `rego` package to construct a prepared query.
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2. Execute the prepared query to produce policy decisions.
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3. Interpret and enforce the policy decisions.
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Preparing queries in advance avoids parsing and compiling the policies on each
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query and improves performance considerably. Prepared queries are safe to share
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across multiple Go routines.
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To prepare a query create a new `rego.Rego` object by calling `rego.New(...)`
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and then invoke `rego.Rego#PrepareForEval`. The `rego.New(...)` call can be
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parameterized with different options like the query, policy module(s), data
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store, etc.
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```go
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module := `
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package example.authz
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import future.keywords.if
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import future.keywords.in
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default allow := false
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allow if {
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input.method == "GET"
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input.path == ["salary", input.subject.user]
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}
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allow if is_admin
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is_admin if "admin" in input.subject.groups
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`
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query, err := rego.New(
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rego.Query("x = data.example.authz.allow"),
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rego.Module("example.rego", module),
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).PrepareForEval(ctx)
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if err != nil {
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// Handle error.
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}
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```
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Using the `query` returned by `rego.Rego#PrepareForEval` call the `Eval`
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function to evaluate the policy:
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```go
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input := map[string]interface{}{
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"method": "GET",
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"path": []interface{}{"salary", "bob"},
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"subject": map[string]interface{}{
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"user": "bob",
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"groups": []interface{}{"sales", "marketing"},
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},
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}
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ctx := context.TODO()
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results, err := query.Eval(ctx, rego.EvalInput(input))
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```
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The `rego.PreparedEvalQuery#Eval` function returns a _result set_ that contains
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the query results. If the result set is empty it indicates the query could not
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be satisfied. Each element in the result set contains a set of _variable
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bindings_ and a set of expression values. The query from above includes a single
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variable `x` so we can lookup the value and interpret it to enforce the policy
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decision.
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```go
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if err != nil {
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// Handle evaluation error.
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} else if len(results) == 0 {
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// Handle undefined result.
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} else if result, ok := results[0].Bindings["x"].(bool); !ok {
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// Handle unexpected result type.
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} else {
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// Handle result/decision.
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// fmt.Printf("%+v", results) => [{Expressions:[true] Bindings:map[x:true]}]
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}
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```
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For the common case of policies evaluating to a single boolean value, there's
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a helper method: With `results.Allowed()`, the previous snippet can be shortened
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to
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```go
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results, err := query.Eval(ctx, rego.EvalInput(input))
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if err != nil {
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// handle error
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}
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if !results.Allowed() {
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// handle result
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}
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```
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For more examples of embedding OPA as a library see the
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[`rego`](https://pkg.go.dev/github.com/open-policy-agent/opa/rego#pkg-examples)
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package in the Go documentation.
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### WebAssembly (Wasm)
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Policies can be evaluated as compiled Wasm binaries.
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See [OPA Wasm docs](../wasm) for more details.
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### Intermediate Representation (IR)
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Policies may be compiled into evaluation plans using an intermediate representation format, suitable for custom
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compilers and evaluators.
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See [OPA IR docs](../ir) for more details.
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### SDK
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The [SDK](https://pkg.go.dev/github.com/open-policy-agent/opa/sdk) package contains high-level APIs for embedding OPA
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inside of Go programs and obtaining the output of query evaluation. To get started
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import the `sdk` package:
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```go
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import "github.com/open-policy-agent/opa/sdk"
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```
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A typical workflow when using the `sdk` package would involve first creating a new `sdk.OPA` object by calling
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`sdk.New` and then invoking its `Decision` method to fetch the policy decision. The `sdk.New` call takes the
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`sdk.Options` object as an input which allows specifying the OPA configuration, console logger, plugins, etc.
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Here is an example that shows this process:
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```go
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package main
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import (
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"bytes"
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"context"
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"fmt"
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"github.com/open-policy-agent/opa/sdk"
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sdktest "github.com/open-policy-agent/opa/sdk/test"
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)
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func main() {
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ctx := context.Background()
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// create a mock HTTP bundle server
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server, err := sdktest.NewServer(sdktest.MockBundle("/bundles/bundle.tar.gz", map[string]string{
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"example.rego": `
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package authz
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import future.keywords.if
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default allow := false
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allow if input.open == "sesame"
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`,
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}))
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if err != nil {
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// handle error.
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}
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defer server.Stop()
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// provide the OPA configuration which specifies
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// fetching policy bundles from the mock server
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// and logging decisions locally to the console
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config := []byte(fmt.Sprintf(`{
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"services": {
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"test": {
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"url": %q
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}
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},
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"bundles": {
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"test": {
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"resource": "/bundles/bundle.tar.gz"
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}
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},
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"decision_logs": {
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"console": true
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}
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}`, server.URL()))
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// create an instance of the OPA object
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opa, err := sdk.New(ctx, sdk.Options{
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Config: bytes.NewReader(config),
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})
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if err != nil {
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// handle error.
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}
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defer opa.Stop(ctx)
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// get the named policy decision for the specified input
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if result, err := opa.Decision(ctx, sdk.DecisionOptions{Path: "/authz/allow", Input: map[string]interface{}{"open": "sesame"}}); err != nil {
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// handle error.
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} else if decision, ok := result.Result.(bool); !ok || !decision {
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// handle error.
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}
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}
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```
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If you executed this code, the output (i.e. [Decision Log](https://www.openpolicyagent.org/docs/latest/management-decision-logs/) event)
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would be logged to the console by default.
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## Comparison
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A comparison of the different integration choices are summarized below.
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| Dimension | REST API | Go Lib | Wasm |
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| --------- | -------- | ------ | ---------- |
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| Evaluation | Fast | Faster | Fastest |
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| Language | Any | Only Go | Any with Wasm |
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| Operations | Update just OPA | Update entire service | Update service rarely |
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| Security | Must secure API | Enable only what is needed | Enable only what is needed |
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Integrating OPA via the REST API is the most common, at the time of writing. OPA is most often deployed either as a sidecar or less commonly as an external service. Operationally this makes it easy to upgrade OPA and to configure it to use its management services (bundles, status, decision logs, etc.). Because it is a separate process it requires monitoring and logging (though this happens automatically for any sidecar-aware environment like Kubernetes). OPA's configuration and APIs must be secured according to the [security guide](../security).
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Integrating OPA via the Go API only works for Go software. Updates to OPA require re-vendoring and re-deploying the software. Evaluation has less overhead than the REST API because all the communication happens in the same operating-system process. All of the management functionality (bundles, decision logs, etc.) must be either enabled or implemented. Security concerns are limited to those management features that are enabled or implemented.
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Wasm policies are embeddable in any programming language that has a Wasm runtime. Evaluation has less overhead than the REST API (because it is evaluated in the same operating-system process) and should outperform the Go API (because the policies have been compiled to a lower-level instruction set). Each programming language will need its own SDKs that implement the management functionality and the evaluation interface. Typically new OPA language features will not require updating the service since neither the Wasm runtime nor the SDKs will be impacted. Updating the SDKs will require re-deploying the service. Security is analogous to the Go API integration: it is mainly the management functionality that presents security risks.
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