Accounting API

Package cloud is the root of the packages used to access Google Cloud Services. See https://pkg.go.dev/cloud.google.com/go for a full list of sub-modules. All clients in sub-packages are configurable via client options. These options are described here: https://pkg.go.dev/google.golang.org/api/option. Endpoint configuration is used to specify the URL to which requests are sent. It is used for services that support or require regional endpoints, as well as for other use cases such as testing against fake servers. For example, the Vertex AI service recommends that you configure the endpoint to the location with the features you want that is closest to your physical location or the location of your users. There is no global endpoint for Vertex AI. See Vertex AI - Locations for more details. The following example demonstrates configuring a Vertex AI client with a regional endpoint: All of the clients support authentication via Google Application Default Credentials, or by providing a JSON key file for a Service Account. See examples below. Google Application Default Credentials (ADC) is the recommended way to authorize and authenticate clients. For information on how to create and obtain Application Default Credentials, see https://cloud.google.com/docs/authentication/production. If you have your environment configured correctly you will not need to pass any extra information to the client libraries. Here is an example of a client using ADC to authenticate: You can use a file with credentials to authenticate and authorize, such as a JSON key file associated with a Google service account. Service Account keys can be created and downloaded from https://console.cloud.google.com/iam-admin/serviceaccounts. This example uses the Secret Manger client, but the same steps apply to the all other client libraries this package as well. Example: In some cases (for instance, you don't want to store secrets on disk), you can create credentials from in-memory JSON and use the WithCredentials option. This example uses the Secret Manager client, but the same steps apply to all other client libraries as well. Note that scopes can be found at https://developers.google.com/identity/protocols/oauth2/scopes, and are also provided in all auto-generated libraries: for example, cloud.google.com/go/secretmanager/apiv1 provides DefaultAuthScopes. Example: By default, non-streaming methods, like Create or Get, will have a default deadline applied to the context provided at call time, unless a context deadline is already set. Streaming methods have no default deadline and will run indefinitely. To set timeouts or arrange for cancellation, use context. Transient errors will be retried when correctness allows. Here is an example of setting a timeout for an RPC using context.WithTimeout: Here is an example of setting a timeout for an RPC using github.com/googleapis/gax-go/v2.WithTimeout: Here is an example of how to arrange for an RPC to be canceled, use context.WithCancel: Do not attempt to control the initial connection (dialing) of a service by setting a timeout on the context passed to NewClient. Dialing is non-blocking, so timeouts would be ineffective and would only interfere with credential refreshing, which uses the same context. Regardless of which transport is used, request headers can be set in the same way using [`callctx.SetHeaders`]setheaders. Here is a generic example: ## Google-reserved headers There are a some header keys that Google reserves for internal use that must not be ovewritten. The following header keys are broadly considered reserved and should not be conveyed by client library users unless instructed to do so: * `x-goog-api-client` * `x-goog-request-params` Be sure to check the individual package documentation for other service-specific reserved headers. For example, Storage supports a specific auditing header that is mentioned in that [module's documentation]storagedocs. ## Google Cloud system parameters Google Cloud services respect system parameterssystem parameters that can be used to augment request and/or response behavior. For the most part, they are not needed when using one of the enclosed client libraries. However, those that may be necessary are made available via the [`callctx`]callctx package. If not present there, consider opening an issue on that repo to request a new constant. Connection pooling differs in clients based on their transport. Cloud clients either rely on HTTP or gRPC transports to communicate with Google Cloud. Cloud clients that use HTTP rely on the underlying HTTP transport to cache connections for later re-use. These are cached to the http.MaxIdleConns and http.MaxIdleConnsPerHost settings in http.DefaultTransport by default. For gRPC clients, connection pooling is configurable. Users of Cloud Client Libraries may specify option.WithGRPCConnectionPool(n) as a client option to NewClient calls. This configures the underlying gRPC connections to be pooled and accessed in a round robin fashion. Minimal container images like Alpine lack CA certificates. This causes RPCs to appear to hang, because gRPC retries indefinitely. See https://github.com/googleapis/google-cloud-go/issues/928 for more information. For tips on how to write tests against code that calls into our libraries check out our Debugging Guide. For tips on how to write tests against code that calls into our libraries check out our Testing Guide. Most of the errors returned by the generated clients are wrapped in an github.com/googleapis/gax-go/v2/apierror.APIError and can be further unwrapped into a google.golang.org/grpc/status.Status or google.golang.org/api/googleapi.Error depending on the transport used to make the call (gRPC or REST). Converting your errors to these types can be a useful way to get more information about what went wrong while debugging. APIError gives access to specific details in the error. The transport-specific errors can still be unwrapped using the APIError. If the gRPC transport was used, the google.golang.org/grpc/status.Status can still be parsed using the google.golang.org/grpc/status.FromError function. Semver is used to communicate stability of the sub-modules of this package. Note, some stable sub-modules do contain packages, and sometimes features, that are considered unstable. If something is unstable it will be explicitly labeled as such. Example of package does in an unstable package: Clients that contain alpha and beta in their import path may change or go away without notice. Clients marked stable will maintain compatibility with future versions for as long as we can reasonably sustain. Incompatible changes might be made in some situations, including:

Package api is the root of the packages used to access Google Cloud Services. See https://godoc.org/google.golang.org/api for a full list of sub-packages. Within api there exist numerous clients which connect to Google APIs, and various utility packages. All clients in sub-packages are configurable via client options. These options are described here: https://godoc.org/google.golang.org/api/option. All the clients in sub-packages support authentication via Google Application Default Credentials (see https://cloud.google.com/docs/authentication/production), or by providing a JSON key file for a Service Account. See the authentication examples in https://godoc.org/google.golang.org/api/transport for more details. Due to the auto-generated nature of this collection of libraries, complete APIs or specific versions can appear or go away without notice. As a result, you should always locally vendor any API(s) that your code relies upon. Google APIs follow semver as specified by https://cloud.google.com/apis/design/versioning. The code generator and the code it produces - the libraries in the google.golang.org/api/... subpackages - are beta. Note that versioning and stability is strictly not communicated through Go modules. Go modules are used only for dependency management. Many parameters are specified using ints. However, underlying APIs might operate on a finer granularity, expecting int64, int32, uint64, or uint32, all of whom have different maximum values. Subsequently, specifying an int parameter in one of these clients may result in an error from the API because the value is too large. To see the exact type of int that the API expects, you can inspect the API's discovery doc. A global catalogue pointing to the discovery doc of APIs can be found at https://www.googleapis.com/discovery/v1/apis. This field can be found on all Request/Response structs in the generated clients. All of these types have the JSON `omitempty` field tag present on their fields. This means if a type is set to its default value it will not be marshalled. Sometimes you may actually want to send a default value, for instance sending an int of `0`. In this case you can override the `omitempty` feature by adding the field name to the `ForceSendFields` slice. See docs on any struct for more details. This may be used to include empty fields in Patch requests. This field can be found on all Request/Response structs in the generated clients. It can be be used to send JSON null values for the listed fields. By default, fields with empty values are omitted from API requests because of the presence of the `omitempty` field tag on all fields. However, any field with an empty value appearing in NullFields will be sent to the server as null. It is an error if a field in this list has a non-empty value. This may be used to include null fields in Patch requests. An error returned by a client's Do method may be cast to a *googleapi.Error or unwrapped to an *apierror.APIError. The https://pkg.go.dev/google.golang.org/api/googleapi#Error type is useful for getting the HTTP status code: The https://pkg.go.dev/github.com/googleapis/gax-go/v2/apierror#APIError type is useful for inspecting structured details of the underlying API response, such as the reason for the error and the error domain, which is typically the registered service name of the tool or product that generated the error: If an API call returns an Operation, that means it could take some time to complete the work initiated by the API call. Applications that are interested in the end result of the operation they initiated should wait until the Operation.Done field indicates it is finished. To do this, use the service's Operation client, and a loop, like so:

Package storage provides an easy way to work with Google Cloud Storage. Google Cloud Storage stores data in named objects, which are grouped into buckets. More information about Google Cloud Storage is available at https://cloud.google.com/storage/docs. See https://pkg.go.dev/cloud.google.com/go for authentication, timeouts, connection pooling and similar aspects of this package. To start working with this package, create a Client: The client will use your default application credentials. Clients should be reused instead of created as needed. The methods of Client are safe for concurrent use by multiple goroutines. You may configure the client by passing in options from the google.golang.org/api/option package. You may also use options defined in this package, such as WithJSONReads. If you only wish to access public data, you can create an unauthenticated client with To use an emulator with this library, you can set the STORAGE_EMULATOR_HOST environment variable to the address at which your emulator is running. This will send requests to that address instead of to Cloud Storage. You can then create and use a client as usual: Please note that there is no official emulator for Cloud Storage. A Google Cloud Storage bucket is a collection of objects. To work with a bucket, make a bucket handle: A handle is a reference to a bucket. You can have a handle even if the bucket doesn't exist yet. To create a bucket in Google Cloud Storage, call BucketHandle.Create: Note that although buckets are associated with projects, bucket names are global across all projects. Each bucket has associated metadata, represented in this package by BucketAttrs. The third argument to BucketHandle.Create allows you to set the initial BucketAttrs of a bucket. To retrieve a bucket's attributes, use BucketHandle.Attrs: An object holds arbitrary data as a sequence of bytes, like a file. You refer to objects using a handle, just as with buckets, but unlike buckets you don't explicitly create an object. Instead, the first time you write to an object it will be created. You can use the standard Go io.Reader and io.Writer interfaces to read and write object data: Objects also have attributes, which you can fetch with ObjectHandle.Attrs: Listing objects in a bucket is done with the BucketHandle.Objects method: Objects are listed lexicographically by name. To filter objects lexicographically, [Query.StartOffset] and/or [Query.EndOffset] can be used: If only a subset of object attributes is needed when listing, specifying this subset using Query.SetAttrSelection may speed up the listing process: Both objects and buckets have ACLs (Access Control Lists). An ACL is a list of ACLRules, each of which specifies the role of a user, group or project. ACLs are suitable for fine-grained control, but you may prefer using IAM to control access at the project level (see Cloud Storage IAM docs. To list the ACLs of a bucket or object, obtain an ACLHandle and call ACLHandle.List: You can also set and delete ACLs. Every object has a generation and a metageneration. The generation changes whenever the content changes, and the metageneration changes whenever the metadata changes. Conditions let you check these values before an operation; the operation only executes if the conditions match. You can use conditions to prevent race conditions in read-modify-write operations. For example, say you've read an object's metadata into objAttrs. Now you want to write to that object, but only if its contents haven't changed since you read it. Here is how to express that: You can obtain a URL that lets anyone read or write an object for a limited time. Signing a URL requires credentials authorized to sign a URL. To use the same authentication that was used when instantiating the Storage client, use BucketHandle.SignedURL. You can also sign a URL without creating a client. See the documentation of SignedURL for details. A type of signed request that allows uploads through HTML forms directly to Cloud Storage with temporary permission. Conditions can be applied to restrict how the HTML form is used and exercised by a user. For more information, please see the XML POST Object docs as well as the documentation of BucketHandle.GenerateSignedPostPolicyV4. If the GoogleAccessID and PrivateKey option fields are not provided, they will be automatically detected by BucketHandle.SignedURL and BucketHandle.GenerateSignedPostPolicyV4 if any of the following are true: Detecting GoogleAccessID may not be possible if you are authenticated using a token source or using option.WithHTTPClient. In this case, you can provide a service account email for GoogleAccessID and the client will attempt to sign the URL or Post Policy using that service account. To generate the signature, you must have: Errors returned by this client are often of the type googleapi.Error. These errors can be introspected for more information by using errors.As with the richer googleapi.Error type. For example: Methods in this package may retry calls that fail with transient errors. Retrying continues indefinitely unless the controlling context is canceled, the client is closed, or a non-transient error is received. To stop retries from continuing, use context timeouts or cancellation. The retry strategy in this library follows best practices for Cloud Storage. By default, operations are retried only if they are idempotent, and exponential backoff with jitter is employed. In addition, errors are only retried if they are defined as transient by the service. See the Cloud Storage retry docs for more information. Users can configure non-default retry behavior for a single library call (using BucketHandle.Retryer and ObjectHandle.Retryer) or for all calls made by a client (using Client.SetRetry). For example: You can add custom headers to any API call made by this package by using callctx.SetHeaders on the context which is passed to the method. For example, to add a custom audit logging header: This package includes support for the Cloud Storage gRPC API. The implementation uses gRPC rather than the Default JSON & XML APIs to make requests to Cloud Storage. The Go Storage gRPC client is generally available. The Notifications, Serivce Account HMAC and GetServiceAccount RPCs are not supported through the gRPC client. To create a client which will use gRPC, use the alternate constructor: Using the gRPC API inside GCP with a bucket in the same region can allow for Direct Connectivity (enabling requests to skip some proxy steps and reducing response latency). A warning is emmitted if gRPC is not used within GCP to warn that Direct Connectivity could not be initialized. Direct Connectivity is not required to access the gRPC API. Dependencies for the gRPC API may slightly increase the size of binaries for applications depending on this package. If you are not using gRPC, you can use the build tag `disable_grpc_modules` to opt out of these dependencies and reduce the binary size. The gRPC client emits metrics by default and will export the gRPC telemetry discussed in gRFC/66 and gRFC/78 to Google Cloud Monitoring. The metrics are accessible through Cloud Monitoring API and you incur no additional cost for publishing the metrics. Google Cloud Support can use this information to more quickly diagnose problems related to GCS and gRPC. Sending this data does not incur any billing charges, and requires minimal CPU (a single RPC every minute) or memory (a few KiB to batch the telemetry). To access the metrics you can view them through Cloud Monitoring metric explorer with the prefix `storage.googleapis.com/client`. Metrics are emitted every minute. You can disable metrics using the following example when creating a new gRPC client using WithDisabledClientMetrics. The metrics exporter uses Cloud Monitoring API which determines project ID and credentials doing the following: * Project ID is determined using OTel Resource Detector for the environment otherwise it falls back to the project provided by google.FindCredentials. * Credentials are determined using Application Default Credentials. The principal must have `roles/monitoring.metricWriter` role granted. If not a logged warning will be emitted. Subsequent are silenced to prevent noisy logs. Certain control plane and long-running operations for Cloud Storage (including Folder and Managed Folder operations) are supported via the autogenerated Storage Control client, which is available as a subpackage in this module. See package docs at cloud.google.com/go/storage/control/apiv2 or reference the Storage Control API docs.

Package metadata provides access to Google Compute Engine (GCE) metadata and API service accounts. This package is a wrapper around the GCE metadata service, as documented at https://cloud.google.com/compute/docs/metadata/overview.

Package gofpdf implements a PDF document generator with high level support for text, drawing and images. - UTF-8 support - Choice of measurement unit, page format and margins - Page header and footer management - Automatic page breaks, line breaks, and text justification - Inclusion of JPEG, PNG, GIF, TIFF and basic path-only SVG images - Colors, gradients and alpha channel transparency - Outline bookmarks - Internal and external links - TrueType, Type1 and encoding support - Page compression - Lines, Bézier curves, arcs, and ellipses - Rotation, scaling, skewing, translation, and mirroring - Clipping - Document protection - Layers - Templates - Barcodes - Charting facility - Import PDFs as templates gofpdf has no dependencies other than the Go standard library. All tests pass on Linux, Mac and Windows platforms. gofpdf supports UTF-8 TrueType fonts and “right-to-left” languages. Note that Chinese, Japanese, and Korean characters may not be included in many general purpose fonts. For these languages, a specialized font (for example, NotoSansSC for simplified Chinese) can be used. Also, support is provided to automatically translate UTF-8 runes to code page encodings for languages that have fewer than 256 glyphs. This repository will not be maintained, at least for some unknown duration. But it is hoped that gofpdf has a bright future in the open source world. Due to Go’s promise of compatibility, gofpdf should continue to function without modification for a longer time than would be the case with many other languages. Forks should be based on the last viable commit. Tools such as active-forks can be used to select a fork that looks promising for your needs. If a particular fork looks like it has taken the lead in attracting followers, this README will be updated to point people in that direction. The efforts of all contributors to this project have been deeply appreciated. Best wishes to all of you. To install the package on your system, run Later, to receive updates, run The following Go code generates a simple PDF file. See the functions in the fpdf_test.go file (shown as examples in this documentation) for more advanced PDF examples. If an error occurs in an Fpdf method, an internal error field is set. After this occurs, Fpdf method calls typically return without performing any operations and the error state is retained. This error management scheme facilitates PDF generation since individual method calls do not need to be examined for failure; it is generally sufficient to wait until after Output() is called. For the same reason, if an error occurs in the calling application during PDF generation, it may be desirable for the application to transfer the error to the Fpdf instance by calling the SetError() method or the SetErrorf() method. At any time during the life cycle of the Fpdf instance, the error state can be determined with a call to Ok() or Err(). The error itself can be retrieved with a call to Error(). This package is a relatively straightforward translation from the original FPDF library written in PHP (despite the caveat in the introduction to Effective Go). The API names have been retained even though the Go idiom would suggest otherwise (for example, pdf.GetX() is used rather than simply pdf.X()). The similarity of the two libraries makes the original FPDF website a good source of information. It includes a forum and FAQ. However, some internal changes have been made. Page content is built up using buffers (of type bytes.Buffer) rather than repeated string concatenation. Errors are handled as explained above rather than panicking. Output is generated through an interface of type io.Writer or io.WriteCloser. A number of the original PHP methods behave differently based on the type of the arguments that are passed to them; in these cases additional methods have been exported to provide similar functionality. Font definition files are produced in JSON rather than PHP. A side effect of running go test ./... is the production of a number of example PDFs. These can be found in the gofpdf/pdf directory after the tests complete. Please note that these examples run in the context of a test. In order run an example as a standalone application, you’ll need to examine fpdf_test.go for some helper routines, for example exampleFilename() and summary(). Example PDFs can be compared with reference copies in order to verify that they have been generated as expected. This comparison will be performed if a PDF with the same name as the example PDF is placed in the gofpdf/pdf/reference directory and if the third argument to ComparePDFFiles() in internal/example/example.go is true. (By default it is false.) The routine that summarizes an example will look for this file and, if found, will call ComparePDFFiles() to check the example PDF for equality with its reference PDF. If differences exist between the two files they will be printed to standard output and the test will fail. If the reference file is missing, the comparison is considered to succeed. In order to successfully compare two PDFs, the placement of internal resources must be consistent and the internal creation timestamps must be the same. To do this, the methods SetCatalogSort() and SetCreationDate() need to be called for both files. This is done automatically for all examples. Nothing special is required to use the standard PDF fonts (courier, helvetica, times, zapfdingbats) in your documents other than calling SetFont(). You should use AddUTF8Font() or AddUTF8FontFromBytes() to add a TrueType UTF-8 encoded font. Use RTL() and LTR() methods switch between “right-to-left” and “left-to-right” mode. In order to use a different non-UTF-8 TrueType or Type1 font, you will need to generate a font definition file and, if the font will be embedded into PDFs, a compressed version of the font file. This is done by calling the MakeFont function or using the included makefont command line utility. To create the utility, cd into the makefont subdirectory and run “go build”. This will produce a standalone executable named makefont. Select the appropriate encoding file from the font subdirectory and run the command as in the following example. In your PDF generation code, call AddFont() to load the font and, as with the standard fonts, SetFont() to begin using it. Most examples, including the package example, demonstrate this method. Good sources of free, open-source fonts include Google Fonts and DejaVu Fonts. The draw2d package is a two dimensional vector graphics library that can generate output in different forms. It uses gofpdf for its document production mode. gofpdf is a global community effort and you are invited to make it even better. If you have implemented a new feature or corrected a problem, please consider contributing your change to the project. A contribution that does not directly pertain to the core functionality of gofpdf should be placed in its own directory directly beneath the contrib directory. Here are guidelines for making submissions. Your change should - be compatible with the MIT License - be properly documented - be formatted with go fmt - include an example in fpdf_test.go if appropriate - conform to the standards of golint and go vet, that is, golint . and go vet . should not generate any warnings - not diminish test coverage Pull requests are the preferred means of accepting your changes. gofpdf is released under the MIT License. It is copyrighted by Kurt Jung and the contributors acknowledged below. This package’s code and documentation are closely derived from the FPDF library created by Olivier Plathey, and a number of font and image resources are copied directly from it. Bruno Michel has provided valuable assistance with the code. Drawing support is adapted from the FPDF geometric figures script by David Hernández Sanz. Transparency support is adapted from the FPDF transparency script by Martin Hall-May. Support for gradients and clipping is adapted from FPDF scripts by Andreas Würmser. Support for outline bookmarks is adapted from Olivier Plathey by Manuel Cornes. Layer support is adapted from Olivier Plathey. Support for transformations is adapted from the FPDF transformation script by Moritz Wagner and Andreas Würmser. PDF protection is adapted from the work of Klemen Vodopivec for the FPDF product. Lawrence Kesteloot provided code to allow an image’s extent to be determined prior to placement. Support for vertical alignment within a cell was provided by Stefan Schroeder. Ivan Daniluk generalized the font and image loading code to use the Reader interface while maintaining backward compatibility. Anthony Starks provided code for the Polygon function. Robert Lillack provided the Beziergon function and corrected some naming issues with the internal curve function. Claudio Felber provided implementations for dashed line drawing and generalized font loading. Stani Michiels provided support for multi-segment path drawing with smooth line joins, line join styles, enhanced fill modes, and has helped greatly with package presentation and tests. Templating is adapted by Marcus Downing from the FPDF_Tpl library created by Jan Slabon and Setasign. Jelmer Snoeck contributed packages that generate a variety of barcodes and help with registering images on the web. Jelmer Snoek and Guillermo Pascual augmented the basic HTML functionality with aligned text. Kent Quirk implemented backwards-compatible support for reading DPI from images that support it, and for setting DPI manually and then having it properly taken into account when calculating image size. Paulo Coutinho provided support for static embedded fonts. Dan Meyers added support for embedded JavaScript. David Fish added a generic alias-replacement function to enable, among other things, table of contents functionality. Andy Bakun identified and corrected a problem in which the internal catalogs were not sorted stably. Paul Montag added encoding and decoding functionality for templates, including images that are embedded in templates; this allows templates to be stored independently of gofpdf. Paul also added support for page boxes used in printing PDF documents. Wojciech Matusiak added supported for word spacing. Artem Korotkiy added support of UTF-8 fonts. Dave Barnes added support for imported objects and templates. Brigham Thompson added support for rounded rectangles. Joe Westcott added underline functionality and optimized image storage. Benoit KUGLER contributed support for rectangles with corners of unequal radius, modification times, and for file attachments and annotations. - Remove all legacy code page font support; use UTF-8 exclusively - Improve test coverage as reported by the coverage tool. Example demonstrates the generation of a simple PDF document. Note that since only core fonts are used (in this case Arial, a synonym for Helvetica), an empty string can be specified for the font directory in the call to New(). Note also that the example.Filename() and example.Summary() functions belong to a separate, internal package and are not part of the gofpdf library. If an error occurs at some point during the construction of the document, subsequent method calls exit immediately and the error is finally retrieved with the output call where it can be handled by the application.

Package logging contains a Cloud Logging client suitable for writing logs. For reading logs, and working with sinks, metrics and monitored resources, see package cloud.google.com/go/logging/logadmin. This client uses Logging API v2. See https://cloud.google.com/logging/docs/api/v2/ for an introduction to the API. Use a Client to interact with the Cloud Logging API. For most use cases, you'll want to add log entries to a buffer to be periodically flushed (automatically and asynchronously) to the Cloud Logging service. You should call Client.Close before your program exits to flush any buffered log entries to the Cloud Logging service. For critical errors, you may want to send your log entries immediately. LogSync is slow and will block until the log entry has been sent, so it is not recommended for normal use. For cases when runtime environment supports out-of-process log ingestion, like logging agent, you can opt-in to write log entries to io.Writer instead of ingesting them to Cloud Logging service. Usually, you will use os.Stdout or os.Stderr as writers because Google Cloud logging agents are configured to capture logs from standard output. The entries will be Jsonified and wrote as one line strings following the structured logging format. See https://cloud.google.com/logging/docs/structured-logging#special-payload-fields for the format description. To instruct Logger to redirect log entries add RedirectAsJSON() LoggerOption`s. An entry payload can be a string, as in the examples above. It can also be any value that can be marshaled to a JSON object, like a map[string]interface{} or a struct: If you have a []byte of JSON, wrap it in json.RawMessage: If you have proto.Message and want to send it as a protobuf payload, marshal it to anypb.Any: You may want use a standard log.Logger in your program. An Entry may have one of a number of severity levels associated with it. You can view Cloud logs for projects at https://console.cloud.google.com/logs/viewer. Use the dropdown at the top left. When running from a Google Cloud Platform VM, select "GCE VM Instance". Otherwise, select "Google Project" and then the project ID. Logs for organizations, folders and billing accounts can be viewed on the command line with the "gcloud logging read" command. To group all the log entries written during a single HTTP request, create two Loggers, a "parent" and a "child," with different log IDs. Both should be in the same project, and have the same MonitoredResource type and labels. - A child entry's timestamp must be within the time interval covered by the parent request. (i.e., before the parent.Timestamp and after the parent.Timestamp - parent.HTTPRequest.Latency. This assumes the parent.Timestamp marks the end of the request.) - The trace field must be populated in all of the entries and match exactly. You should observe the child log entries grouped under the parent on the console. The parent entry will not inherit the severity of its children; you must update the parent severity yourself. You can automatically populate the Trace, SpanID, and TraceSampled fields of an Entry object by providing an http.Request object within the Entry's HTTPRequest field: When Entry with an http.Request is logged, its Trace, SpanID, and TraceSampled fields may be automatically populated as follows: Note that if Trace, SpanID, or TraceSampled are explicitly provided within an Entry object, then those values take precedence over values automatically extracted values.

Package sso provides the API client, operations, and parameter types for AWS Single Sign-On. AWS IAM Identity Center (successor to AWS Single Sign-On) Portal is a web service that makes it easy for you to assign user access to IAM Identity Center resources such as the AWS access portal. Users can get AWS account applications and roles assigned to them and get federated into the application. Although AWS Single Sign-On was renamed, the sso and identitystore API namespaces will continue to retain their original name for backward compatibility purposes. For more information, see IAM Identity Center rename. This reference guide describes the IAM Identity Center Portal operations that you can call programatically and includes detailed information on data types and errors. AWS provides SDKs that consist of libraries and sample code for various programming languages and platforms, such as Java, Ruby, .Net, iOS, or Android. The SDKs provide a convenient way to create programmatic access to IAM Identity Center and other AWS services. For more information about the AWS SDKs, including how to download and install them, see Tools for Amazon Web Services.

Package ssooidc provides the API client, operations, and parameter types for AWS SSO OIDC. IAM Identity Center OpenID Connect (OIDC) is a web service that enables a client (such as CLI or a native application) to register with IAM Identity Center. The service also enables the client to fetch the user’s access token upon successful authentication and authorization with IAM Identity Center. IAM Identity Center uses the sso and identitystore API namespaces. Before you begin using this guide, we recommend that you first review the following important information about how the IAM Identity Center OIDC service works. The IAM Identity Center OIDC service currently implements only the portions of the OAuth 2.0 Device Authorization Grant standard (https://tools.ietf.org/html/rfc8628 ) that are necessary to enable single sign-on authentication with the CLI. With older versions of the CLI, the service only emits OIDC access tokens, so to obtain a new token, users must explicitly re-authenticate. To access the OIDC flow that supports token refresh and doesn’t require re-authentication, update to the latest CLI version (1.27.10 for CLI V1 and 2.9.0 for CLI V2) with support for OIDC token refresh and configurable IAM Identity Center session durations. For more information, see Configure Amazon Web Services access portal session duration. The access tokens provided by this service grant access to all Amazon Web Services account entitlements assigned to an IAM Identity Center user, not just a particular application. The documentation in this guide does not describe the mechanism to convert the access token into Amazon Web Services Auth (“sigv4”) credentials for use with IAM-protected Amazon Web Services service endpoints. For more information, see GetRoleCredentialsin the IAM Identity Center Portal API Reference Guide. For general information about IAM Identity Center, see What is IAM Identity Center? in the IAM Identity Center User Guide.

Package kms provides the API client, operations, and parameter types for AWS Key Management Service. Key Management Service (KMS) is an encryption and key management web service. This guide describes the KMS operations that you can call programmatically. For general information about KMS, see the Key Management Service Developer Guide. KMS has replaced the term customer master key (CMK) with KMS key and KMS key. The concept has not changed. To prevent breaking changes, KMS is keeping some variations of this term. Amazon Web Services provides SDKs that consist of libraries and sample code for various programming languages and platforms (Java, Ruby, .Net, macOS, Android, etc.). The SDKs provide a convenient way to create programmatic access to KMS and other Amazon Web Services services. For example, the SDKs take care of tasks such as signing requests (see below), managing errors, and retrying requests automatically. For more information about the Amazon Web Services SDKs, including how to download and install them, see Tools for Amazon Web Services. We recommend that you use the Amazon Web Services SDKs to make programmatic API calls to KMS. If you need to use FIPS 140-2 validated cryptographic modules when communicating with Amazon Web Services, use the FIPS endpoint in your preferred Amazon Web Services Region. For more information about the available FIPS endpoints, see Service endpointsin the Key Management Service topic of the Amazon Web Services General Reference. All KMS API calls must be signed and be transmitted using Transport Layer Security (TLS). KMS recommends you always use the latest supported TLS version. Clients must also support cipher suites with Perfect Forward Secrecy (PFS) such as Ephemeral Diffie-Hellman (DHE) or Elliptic Curve Ephemeral Diffie-Hellman (ECDHE). Most modern systems such as Java 7 and later support these modes. Requests must be signed using an access key ID and a secret access key. We strongly recommend that you do not use your Amazon Web Services account root access key ID and secret access key for everyday work. You can use the access key ID and secret access key for an IAM user or you can use the Security Token Service (STS) to generate temporary security credentials and use those to sign requests. All KMS requests must be signed with Signature Version 4. KMS supports CloudTrail, a service that logs Amazon Web Services API calls and related events for your Amazon Web Services account and delivers them to an Amazon S3 bucket that you specify. By using the information collected by CloudTrail, you can determine what requests were made to KMS, who made the request, when it was made, and so on. To learn more about CloudTrail, including how to turn it on and find your log files, see the CloudTrail User Guide. For more information about credentials and request signing, see the following: Amazon Web Services Security Credentials Temporary Security Credentials Signature Version 4 Signing Process Of the API operations discussed in this guide, the following will prove the most useful for most applications. You will likely perform operations other than these, such as creating keys and assigning policies, by using the console.

Package secretsmanager provides the API client, operations, and parameter types for AWS Secrets Manager. Amazon Web Services Secrets Manager provides a service to enable you to store, manage, and retrieve, secrets. This guide provides descriptions of the Secrets Manager API. For more information about using this service, see the Amazon Web Services Secrets Manager User Guide. This version of the Secrets Manager API Reference documents the Secrets Manager API version 2017-10-17. For a list of endpoints, see Amazon Web Services Secrets Manager endpoints. We welcome your feedback. Send your comments to awssecretsmanager-feedback@amazon.com, or post your feedback and questions in the Amazon Web Services Secrets Manager Discussion Forum. For more information about the Amazon Web Services Discussion Forums, see Forums Help. Amazon Web Services Secrets Manager supports Amazon Web Services CloudTrail, a service that records Amazon Web Services API calls for your Amazon Web Services account and delivers log files to an Amazon S3 bucket. By using information that's collected by Amazon Web Services CloudTrail, you can determine the requests successfully made to Secrets Manager, who made the request, when it was made, and so on. For more about Amazon Web Services Secrets Manager and support for Amazon Web Services CloudTrail, see Logging Amazon Web Services Secrets Manager Events with Amazon Web Services CloudTrailin the Amazon Web Services Secrets Manager User Guide. To learn more about CloudTrail, including enabling it and find your log files, see the Amazon Web Services CloudTrail User Guide.

Package cloudtrail provides the API client, operations, and parameter types for AWS CloudTrail. This is the CloudTrail API Reference. It provides descriptions of actions, data types, common parameters, and common errors for CloudTrail. CloudTrail is a web service that records Amazon Web Services API calls for your Amazon Web Services account and delivers log files to an Amazon S3 bucket. The recorded information includes the identity of the user, the start time of the Amazon Web Services API call, the source IP address, the request parameters, and the response elements returned by the service. As an alternative to the API, you can use one of the Amazon Web Services SDKs, which consist of libraries and sample code for various programming languages and platforms (Java, Ruby, .NET, iOS, Android, etc.). The SDKs provide programmatic access to CloudTrail. For example, the SDKs handle cryptographically signing requests, managing errors, and retrying requests automatically. For more information about the Amazon Web Services SDKs, including how to download and install them, see Tools to Build on Amazon Web Services. See the CloudTrail User Guide for information about the data that is included with each Amazon Web Services API call listed in the log files.

Package securityhub provides the API client, operations, and parameter types for AWS SecurityHub. Security Hub provides you with a comprehensive view of your security state in Amazon Web Services and helps you assess your Amazon Web Services environment against security industry standards and best practices. Security Hub collects security data across Amazon Web Services accounts, Amazon Web Services services, and supported third-party products and helps you analyze your security trends and identify the highest priority security issues. To help you manage the security state of your organization, Security Hub supports multiple security standards. These include the Amazon Web Services Foundational Security Best Practices (FSBP) standard developed by Amazon Web Services, and external compliance frameworks such as the Center for Internet Security (CIS), the Payment Card Industry Data Security Standard (PCI DSS), and the National Institute of Standards and Technology (NIST). Each standard includes several security controls, each of which represents a security best practice. Security Hub runs checks against security controls and generates control findings to help you assess your compliance against security best practices. In addition to generating control findings, Security Hub also receives findings from other Amazon Web Services services, such as Amazon GuardDuty and Amazon Inspector, and supported third-party products. This gives you a single pane of glass into a variety of security-related issues. You can also send Security Hub findings to other Amazon Web Services services and supported third-party products. Security Hub offers automation features that help you triage and remediate security issues. For example, you can use automation rules to automatically update critical findings when a security check fails. You can also leverage the integration with Amazon EventBridge to trigger automatic responses to specific findings. This guide, the Security Hub API Reference, provides information about the Security Hub API. This includes supported resources, HTTP methods, parameters, and schemas. If you're new to Security Hub, you might find it helpful to also review the Security Hub User Guide. The user guide explains key concepts and provides procedures that demonstrate how to use Security Hub features. It also provides information about topics such as integrating Security Hub with other Amazon Web Services services. In addition to interacting with Security Hub by making calls to the Security Hub API, you can use a current version of an Amazon Web Services command line tool or SDK. Amazon Web Services provides tools and SDKs that consist of libraries and sample code for various languages and platforms, such as PowerShell, Java, Go, Python, C++, and .NET. These tools and SDKs provide convenient, programmatic access to Security Hub and other Amazon Web Services services . They also handle tasks such as signing requests, managing errors, and retrying requests automatically. For information about installing and using the Amazon Web Services tools and SDKs, see Tools to Build on Amazon Web Services. With the exception of operations that are related to central configuration, Security Hub API requests are executed only in the Amazon Web Services Region that is currently active or in the specific Amazon Web Services Region that you specify in your request. Any configuration or settings change that results from the operation is applied only to that Region. To make the same change in other Regions, call the same API operation in each Region in which you want to apply the change. When you use central configuration, API requests for enabling Security Hub, standards, and controls are executed in the home Region and all linked Regions. For a list of central configuration operations, see the Central configuration terms and conceptssection of the Security Hub User Guide. The following throttling limits apply to Security Hub API operations. BatchEnableStandards - RateLimit of 1 request per second. BurstLimit of 1 request per second. GetFindings - RateLimit of 3 requests per second. BurstLimit of 6 requests per second. BatchImportFindings - RateLimit of 10 requests per second. BurstLimit of 30 requests per second. BatchUpdateFindings - RateLimit of 10 requests per second. BurstLimit of 30 requests per second. UpdateStandardsControl - RateLimit of 1 request per second. BurstLimit of 5 requests per second. All other operations - RateLimit of 10 requests per second. BurstLimit of 30 requests per second.

Package accessanalyzer provides the API client, operations, and parameter types for Access Analyzer. Identity and Access Management Access Analyzer helps you to set, verify, and refine your IAM policies by providing a suite of capabilities. Its features include findings for external and unused access, basic and custom policy checks for validating policies, and policy generation to generate fine-grained policies. To start using IAM Access Analyzer to identify external or unused access, you first need to create an analyzer. External access analyzers help identify potential risks of accessing resources by enabling you to identify any resource policies that grant access to an external principal. It does this by using logic-based reasoning to analyze resource-based policies in your Amazon Web Services environment. An external principal can be another Amazon Web Services account, a root user, an IAM user or role, a federated user, an Amazon Web Services service, or an anonymous user. You can also use IAM Access Analyzer to preview public and cross-account access to your resources before deploying permissions changes. Unused access analyzers help identify potential identity access risks by enabling you to identify unused IAM roles, unused access keys, unused console passwords, and IAM principals with unused service and action-level permissions. Beyond findings, IAM Access Analyzer provides basic and custom policy checks to validate IAM policies before deploying permissions changes. You can use policy generation to refine permissions by attaching a policy generated using access activity logged in CloudTrail logs. This guide describes the IAM Access Analyzer operations that you can call programmatically. For general information about IAM Access Analyzer, see Identity and Access Management Access Analyzerin the IAM User Guide.

Package organizations provides the API client, operations, and parameter types for AWS Organizations. Organizations is a web service that enables you to consolidate your multiple Amazon Web Services accounts into an organization and centrally manage your accounts and their resources. This guide provides descriptions of the Organizations operations. For more information about using this service, see the Organizations User Guide. We welcome your feedback. Send your comments to feedback-awsorganizations@amazon.com or post your feedback and questions in the Organizations support forum. For more information about the Amazon Web Services support forums, see Forums Help. For the current release of Organizations, specify the us-east-1 region for all Amazon Web Services API and CLI calls made from the commercial Amazon Web Services Regions outside of China. If calling from one of the Amazon Web Services Regions in China, then specify cn-northwest-1 . You can do this in the CLI by using these parameters and commands: --endpoint-url https://organizations.us-east-1.amazonaws.com (from commercial or --endpoint-url https://organizations.cn-northwest-1.amazonaws.com.cn (from aws configure set default.region us-east-1 (from commercial Amazon Web Services or aws configure set default.region cn-northwest-1 (from Amazon Web Services --region us-east-1 (from commercial Amazon Web Services Regions outside of or --region cn-northwest-1 (from Amazon Web Services Regions in China) Organizations supports CloudTrail, a service that records Amazon Web Services API calls for your Amazon Web Services account and delivers log files to an Amazon S3 bucket. By using information collected by CloudTrail, you can determine which requests the Organizations service received, who made the request and when, and so on. For more about Organizations and its support for CloudTrail, see Logging Organizations API calls with CloudTrailin the Organizations User Guide. To learn more about CloudTrail, including how to turn it on and find your log files, see the CloudTrail User Guide.

Package azcosmos implements the client to interact with the Azure Cosmos DB SQL API. The azcosmos package is capable of: Types of Credentials The clients support different forms of authentication. The azcosmos library supports authorization via Azure Active Directory or an account key. Using Azure Active Directory To create a client, you can use any of the TokenCredential implementations provided by `azidentity`. Using account keys To create a client, you will need the account's endpoint URL and a key credential. Using connection string To create a client, you will need the account's connection string. The following are relevant concepts for the usage of the client: The following sections provide several code snippets covering some of the most common Table tasks, including: Create a database and obtain a `DatabaseClient` to perform operations on your newly created database. Create a container on an existing database and obtain a `ContainerClient` to perform operations on your newly created container. Creating, reading, and deleting items Querying items Querying items with parametrized queries Using Transactional batch

Package configservice provides the API client, operations, and parameter types for AWS Config. Config provides a way to keep track of the configurations of all the Amazon Web Services resources associated with your Amazon Web Services account. You can use Config to get the current and historical configurations of each Amazon Web Services resource and also to get information about the relationship between the resources. An Amazon Web Services resource can be an Amazon Compute Cloud (Amazon EC2) instance, an Elastic Block Store (EBS) volume, an elastic network Interface (ENI), or a security group. For a complete list of resources currently supported by Config, see Supported Amazon Web Services resources. You can access and manage Config through the Amazon Web Services Management Console, the Amazon Web Services Command Line Interface (Amazon Web Services CLI), the Config API, or the Amazon Web Services SDKs for Config. This reference guide contains documentation for the Config API and the Amazon Web Services CLI commands that you can use to manage Config. The Config API uses the Signature Version 4 protocol for signing requests. For more information about how to sign a request with this protocol, see Signature Version 4 Signing Process. For detailed information about Config features and their associated actions or commands, as well as how to work with Amazon Web Services Management Console, see What Is Configin the Config Developer Guide.

Package acmpca provides the API client, operations, and parameter types for AWS Certificate Manager Private Certificate Authority. This is the Amazon Web Services Private Certificate Authority API Reference. It provides descriptions, syntax, and usage examples for each of the actions and data types involved in creating and managing a private certificate authority (CA) for your organization. The documentation for each action shows the API request parameters and the JSON response. Alternatively, you can use one of the Amazon Web Services SDKs to access an API that is tailored to the programming language or platform that you prefer. For more information, see Amazon Web Services SDKs. Each Amazon Web Services Private CA API operation has a quota that determines the number of times the operation can be called per second. Amazon Web Services Private CA throttles API requests at different rates depending on the operation. Throttling means that Amazon Web Services Private CA rejects an otherwise valid request because the request exceeds the operation's quota for the number of requests per second. When a request is throttled, Amazon Web Services Private CA returns a ThrottlingExceptionerror. Amazon Web Services Private CA does not guarantee a minimum request rate for APIs. To see an up-to-date list of your Amazon Web Services Private CA quotas, or to request a quota increase, log into your Amazon Web Services account and visit the Service Quotasconsole.

Package guardduty provides the API client, operations, and parameter types for Amazon GuardDuty. Amazon GuardDuty is a continuous security monitoring service that analyzes and processes the following foundational data sources - VPC flow logs, Amazon Web Services CloudTrail management event logs, CloudTrail S3 data event logs, EKS audit logs, DNS logs, Amazon EBS volume data, runtime activity belonging to container workloads, such as Amazon EKS, Amazon ECS (including Amazon Web Services Fargate), and Amazon EC2 instances. It uses threat intelligence feeds, such as lists of malicious IPs and domains, and machine learning to identify unexpected, potentially unauthorized, and malicious activity within your Amazon Web Services environment. This can include issues like escalations of privileges, uses of exposed credentials, or communication with malicious IPs, domains, or presence of malware on your Amazon EC2 instances and container workloads. For example, GuardDuty can detect compromised EC2 instances and container workloads serving malware, or mining bitcoin. GuardDuty also monitors Amazon Web Services account access behavior for signs of compromise, such as unauthorized infrastructure deployments like EC2 instances deployed in a Region that has never been used, or unusual API calls like a password policy change to reduce password strength. GuardDuty informs you about the status of your Amazon Web Services environment by producing security findings that you can view in the GuardDuty console or through Amazon EventBridge. For more information, see the Amazon GuardDuty User Guide.

Package anaconda provides structs and functions for accessing version 1.1 of the Twitter API. Successful API queries return native Go structs that can be used immediately, with no need for type assertions. If you already have the access token (and secret) for your user (Twitter provides this for your own account on the developer portal), creating the client is simple: Executing queries on an authenticated TwitterApi struct is simple. Certain endpoints allow separate optional parameter; if desired, these can be passed as the final parameter. Anaconda implements most of the endpoints defined in the Twitter API documentation: https://dev.twitter.com/docs/api/1.1. For clarity, in most cases, the function name is simply the name of the HTTP method and the endpoint (e.g., the endpoint `GET /friendships/incoming` is provided by the function `GetFriendshipsIncoming`). In a few cases, a shortened form has been chosen to make life easier (for example, retweeting is simply the function `Retweet`) More detailed information about the behavior of each particular endpoint can be found at the official Twitter API documentation.

Package hdkeychain provides an API for Decred hierarchical deterministic extended keys (based on BIP0032). The ability to implement hierarchical deterministic wallets depends on the ability to create and derive hierarchical deterministic extended keys. At a high level, this package provides support for those hierarchical deterministic extended keys by providing an ExtendedKey type and supporting functions. Each extended key can either be a private or public extended key which itself is capable of deriving a child extended key. Whether an extended key is a private or public extended key can be determined with the IsPrivate function. In order to create and sign transactions, or provide others with addresses to send funds to, the underlying key and address material must be accessible. This package provides the ECPubKey, ECPrivKey, and Address functions for this purpose. As previously mentioned, the extended keys are hierarchical meaning they are used to form a tree. The root of that tree is called the master node and this package provides the NewMaster function to create it from a cryptographically random seed. The GenerateSeed function is provided as a convenient way to create a random seed for use with the NewMaster function. Once you have created a tree root (or have deserialized an extended key as discussed later), the child extended keys can be derived by using the Child function. The Child function supports deriving both normal (non-hardened) and hardened child extended keys. In order to derive a hardened extended key, use the HardenedKeyStart constant + the hardened key number as the index to the Child function. This provides the ability to cascade the keys into a tree and hence generate the hierarchical deterministic key chains. A private extended key can be used to derive both hardened and non-hardened (normal) child private and public extended keys. A public extended key can only be used to derive non-hardened child public extended keys. As enumerated in BIP0032 "knowledge of the extended public key plus any non-hardened private key descending from it is equivalent to knowing the extended private key (and thus every private and public key descending from it). This means that extended public keys must be treated more carefully than regular public keys. It is also the reason for the existence of hardened keys, and why they are used for the account level in the tree. This way, a leak of an account-specific (or below) private key never risks compromising the master or other accounts." A private extended key can be converted to a new instance of the corresponding public extended key with the Neuter function. The original extended key is not modified. A public extended key is still capable of deriving non-hardened child public extended keys. Extended keys are serialized and deserialized with the String and NewKeyFromString functions. The serialized key is a Base58-encoded string which looks like the following: Extended keys are much like normal Decred addresses in that they have version bytes which tie them to a specific network. The SetNet and IsForNet functions are provided to set and determinine which network an extended key is associated with. This example demonstrates the audits use case in BIP0032. This example demonstrates the default hierarchical deterministic wallet layout as described in BIP0032. This example demonstrates how to generate a cryptographically random seed then use it to create a new master node (extended key).

Package gosnowflake is a pure Go Snowflake driver for the database/sql package. Clients can use the database/sql package directly. For example: Use the Open() function to create a database handle with connection parameters: The Go Snowflake Driver supports the following connection syntaxes (or data source name (DSN) formats): where all parameters must be escaped or use Config and DSN to construct a DSN string. For information about account identifiers, see the Snowflake documentation (https://docs.snowflake.com/en/user-guide/admin-account-identifier.html). The following example opens a database handle with the Snowflake account named "my_account" under the organization named "my_organization", where the username is "jsmith", password is "mypassword", database is "mydb", schema is "testschema", and warehouse is "mywh": The connection string (DSN) can contain both connection parameters (described below) and session parameters (https://docs.snowflake.com/en/sql-reference/parameters.html). The following connection parameters are supported: account <string>: Specifies your Snowflake account, where "<string>" is the account identifier assigned to your account by Snowflake. For information about account identifiers, see the Snowflake documentation (https://docs.snowflake.com/en/user-guide/admin-account-identifier.html). If you are using a global URL, then append the connection group and ".global" (e.g. "<account_identifier>-<connection_group>.global"). The account identifier and the connection group are separated by a dash ("-"), as shown above. This parameter is optional if your account identifier is specified after the "@" character in the connection string. region <string>: DEPRECATED. You may specify a region, such as "eu-central-1", with this parameter. However, since this parameter is deprecated, it is best to specify the region as part of the account parameter. For details, see the description of the account parameter. database: Specifies the database to use by default in the client session (can be changed after login). schema: Specifies the database schema to use by default in the client session (can be changed after login). warehouse: Specifies the virtual warehouse to use by default for queries, loading, etc. in the client session (can be changed after login). role: Specifies the role to use by default for accessing Snowflake objects in the client session (can be changed after login). passcode: Specifies the passcode provided by Duo when using multi-factor authentication (MFA) for login. passcodeInPassword: false by default. Set to true if the MFA passcode is embedded in the login password. Appends the MFA passcode to the end of the password. loginTimeout: Specifies the timeout, in seconds, for login. The default is 60 seconds. The login request gives up after the timeout length if the HTTP response is success. requestTimeout: Specifies the timeout, in seconds, for a query to complete. 0 (zero) specifies that the driver should wait indefinitely. The default is 0 seconds. The query request gives up after the timeout length if the HTTP response is success. authenticator: Specifies the authenticator to use for authenticating user credentials: To use the internal Snowflake authenticator, specify snowflake (Default). If you want to cache your MFA logins, use AuthTypeUsernamePasswordMFA authenticator. To authenticate through Okta, specify https://<okta_account_name>.okta.com (URL prefix for Okta). To authenticate using your IDP via a browser, specify externalbrowser. To authenticate via OAuth, specify oauth and provide an OAuth Access Token (see the token parameter below). application: Identifies your application to Snowflake Support. insecureMode: false by default. Set to true to bypass the Online Certificate Status Protocol (OCSP) certificate revocation check. IMPORTANT: Change the default value for testing or emergency situations only. token: a token that can be used to authenticate. Should be used in conjunction with the "oauth" authenticator. client_session_keep_alive: Set to true have a heartbeat in the background every hour to keep the connection alive such that the connection session will never expire. Care should be taken in using this option as it opens up the access forever as long as the process is alive. ocspFailOpen: true by default. Set to false to make OCSP check fail closed mode. validateDefaultParameters: true by default. Set to false to disable checks on existence and privileges check for Database, Schema, Warehouse and Role when setting up the connection tracing: Specifies the logging level to be used. Set to error by default. Valid values are trace, debug, info, print, warning, error, fatal, panic. disableQueryContextCache: disables parsing of query context returned from server and resending it to server as well. Default value is false. clientConfigFile: specifies the location of the client configuration json file. In this file you can configure Easy Logging feature. disableSamlURLCheck: disables the SAML URL check. Default value is false. All other parameters are interpreted as session parameters (https://docs.snowflake.com/en/sql-reference/parameters.html). For example, the TIMESTAMP_OUTPUT_FORMAT session parameter can be set by adding: A complete connection string looks similar to the following: Session-level parameters can also be set by using the SQL command "ALTER SESSION" (https://docs.snowflake.com/en/sql-reference/sql/alter-session.html). Alternatively, use OpenWithConfig() function to create a database handle with the specified Config. # Connection Config You can also connect to your warehouse using the connection config. The dbSql library states that when you want to take advantage of driver-specific connection features that aren’t available in a connection string. Each driver supports its own set of connection properties, often providing ways to customize the connection request specific to the DBMS For example: If you are using this method, you dont need to pass a driver name to specify the driver type in which you are looking to connect. Since the driver name is not needed, you can optionally bypass driver registration on startup. To do this, set `GOSNOWFLAKE_SKIP_REGISTERATION` in your environment. This is useful you wish to register multiple verions of the driver. Note: GOSNOWFLAKE_SKIP_REGISTERATION should not be used if sql.Open() is used as the method to connect to the server, as sql.Open will require registration so it can map the driver name to the driver type, which in this case is "snowflake" and SnowflakeDriver{}. You can load the connnection configuration with .toml file format. With two environment variables SNOWFLAKE_HOME(connections.toml file directory) SNOWFLAKE_DEFAULT_CONNECTION_NAME(DSN name), the driver will search the config file and load the connection. You can find how to use this connection way at ./cmd/tomlfileconnection or Snowflake doc: https://docs.snowflake.com/en/developer-guide/snowflake-cli-v2/connecting/specify-credentials The Go Snowflake Driver honors the environment variables HTTP_PROXY, HTTPS_PROXY and NO_PROXY for the forward proxy setting. NO_PROXY specifies which hostname endings should be allowed to bypass the proxy server, e.g. no_proxy=.amazonaws.com means that Amazon S3 access does not need to go through the proxy. NO_PROXY does not support wildcards. Each value specified should be one of the following: The end of a hostname (or a complete hostname), for example: ".amazonaws.com" or "xy12345.snowflakecomputing.com". An IP address, for example "192.196.1.15". If more than one value is specified, values should be separated by commas, for example: By default, the driver's builtin logger is exposing logrus's FieldLogger and default at INFO level. Users can use SetLogger in driver.go to set a customized logger for gosnowflake package. In order to enable debug logging for the driver, user could use SetLogLevel("debug") in SFLogger interface as shown in demo code at cmd/logger.go. To redirect the logs SFlogger.SetOutput method could do the work. A custom query tag can be set in the context. Each query run with this context will include the custom query tag as metadata that will appear in the Query Tag column in the Query History log. For example: A specific query request ID can be set in the context and will be passed through in place of the default randomized request ID. For example: If you need query ID for your query you have to use raw connection. For queries: ``` ``` For execs: ``` ``` The result of your query can be retrieved by setting the query ID in the WithFetchResultByID context. ``` ``` From 0.5.0, a signal handling responsibility has moved to the applications. If you want to cancel a query/command by Ctrl+C, add a os.Interrupt trap in context to execute methods that can take the context parameter (e.g. QueryContext, ExecContext). See cmd/selectmany.go for the full example. The Go Snowflake Driver now supports the Arrow data format for data transfers between Snowflake and the Golang client. The Arrow data format avoids extra conversions between binary and textual representations of the data. The Arrow data format can improve performance and reduce memory consumption in clients. Snowflake continues to support the JSON data format. The data format is controlled by the session-level parameter GO_QUERY_RESULT_FORMAT. To use JSON format, execute: The valid values for the parameter are: If the user attempts to set the parameter to an invalid value, an error is returned. The parameter name and the parameter value are case-insensitive. This parameter can be set only at the session level. Usage notes: The Arrow data format reduces rounding errors in floating point numbers. You might see slightly different values for floating point numbers when using Arrow format than when using JSON format. In order to take advantage of the increased precision, you must pass in the context.Context object provided by the WithHigherPrecision function when querying. Traditionally, the rows.Scan() method returned a string when a variable of types interface was passed in. Turning on the flag ENABLE_HIGHER_PRECISION via WithHigherPrecision will return the natural, expected data type as well. For some numeric data types, the driver can retrieve larger values when using the Arrow format than when using the JSON format. For example, using Arrow format allows the full range of SQL NUMERIC(38,0) values to be retrieved, while using JSON format allows only values in the range supported by the Golang int64 data type. Users should ensure that Golang variables are declared using the appropriate data type for the full range of values contained in the column. For an example, see below. When using the Arrow format, the driver supports more Golang data types and more ways to convert SQL values to those Golang data types. The table below lists the supported Snowflake SQL data types and the corresponding Golang data types. The columns are: The SQL data type. The default Golang data type that is returned when you use snowflakeRows.Scan() to read data from Arrow data format via an interface{}. The possible Golang data types that can be returned when you use snowflakeRows.Scan() to read data from Arrow data format directly. The default Golang data type that is returned when you use snowflakeRows.Scan() to read data from JSON data format via an interface{}. (All returned values are strings.) The standard Golang data type that is returned when you use snowflakeRows.Scan() to read data from JSON data format directly. Go Data Types for Scan() =================================================================================================================== | ARROW | JSON =================================================================================================================== SQL Data Type | Default Go Data Type | Supported Go Data | Default Go Data Type | Supported Go Data | for Scan() interface{} | Types for Scan() | for Scan() interface{} | Types for Scan() =================================================================================================================== BOOLEAN | bool | string | bool ------------------------------------------------------------------------------------------------------------------- VARCHAR | string | string ------------------------------------------------------------------------------------------------------------------- DOUBLE | float32, float64 [1] , [2] | string | float32, float64 ------------------------------------------------------------------------------------------------------------------- INTEGER that | int, int8, int16, int32, int64 | string | int, int8, int16, fits in int64 | [1] , [2] | | int32, int64 ------------------------------------------------------------------------------------------------------------------- INTEGER that doesn't | int, int8, int16, int32, int64, *big.Int | string | error fit in int64 | [1] , [2] , [3] , [4] | ------------------------------------------------------------------------------------------------------------------- NUMBER(P, S) | float32, float64, *big.Float | string | float32, float64 where S > 0 | [1] , [2] , [3] , [5] | ------------------------------------------------------------------------------------------------------------------- DATE | time.Time | string | time.Time ------------------------------------------------------------------------------------------------------------------- TIME | time.Time | string | time.Time ------------------------------------------------------------------------------------------------------------------- TIMESTAMP_LTZ | time.Time | string | time.Time ------------------------------------------------------------------------------------------------------------------- TIMESTAMP_NTZ | time.Time | string | time.Time ------------------------------------------------------------------------------------------------------------------- TIMESTAMP_TZ | time.Time | string | time.Time ------------------------------------------------------------------------------------------------------------------- BINARY | []byte | string | []byte ------------------------------------------------------------------------------------------------------------------- ARRAY [6] | string / array | string / array ------------------------------------------------------------------------------------------------------------------- OBJECT [6] | string / struct | string / struct ------------------------------------------------------------------------------------------------------------------- VARIANT | string | string ------------------------------------------------------------------------------------------------------------------- MAP | map | map [1] Converting from a higher precision data type to a lower precision data type via the snowflakeRows.Scan() method can lose low bits (lose precision), lose high bits (completely change the value), or result in error. [2] Attempting to convert from a higher precision data type to a lower precision data type via interface{} causes an error. [3] Higher precision data types like *big.Int and *big.Float can be accessed by querying with a context returned by WithHigherPrecision(). [4] You cannot directly Scan() into the alternative data types via snowflakeRows.Scan(), but can convert to those data types by using .Int64()/.String()/.Uint64() methods. For an example, see below. [5] You cannot directly Scan() into the alternative data types via snowflakeRows.Scan(), but can convert to those data types by using .Float32()/.String()/.Float64() methods. For an example, see below. [6] Arrays and objects can be either semistructured or structured, see more info in section below. Note: SQL NULL values are converted to Golang nil values, and vice-versa. Snowflake supports two flavours of "structured data" - semistructured and structured. Semistructured types are variants, objects and arrays without schema. When data is fetched, it's represented as strings and the client is responsible for its interpretation. Example table definition: The data not have any corresponding schema, so values in table may be slightly different. Semistuctured variants, objects and arrays are always represented as strings for scanning: When inserting, a marker indicating correct type must be used, for example: Structured types differentiate from semistructured types by having specific schema. In all rows of the table, values must conform to this schema. Example table definition: To retrieve structured objects, follow these steps: 1. Create a struct implementing sql.Scanner interface, example: a) b) Automatic scan goes through all fields in a struct and read object fields. Struct fields have to be public. Embedded structs have to be pointers. Matching name is built using struct field name with first letter lowercase. Additionally, `sf` tag can be added: - first value is always a name of a field in an SQL object - additionally `ignore` parameter can be passed to omit this field 2. Use WithStructuredTypesEnabled context while querying data. 3. Use it in regular scan: See StructuredObject for all available operations including null support, embedding nested structs, etc. Retrieving array of simple types works exactly the same like normal values - using Scan function. You can use WithMapValuesNullable and WithArrayValuesNullable contexts to handle null values in, respectively, maps and arrays of simple types in the database. In that case, sql null types will be used: If you want to scan array of structs, you have to use a helper function ScanArrayOfScanners: Retrieving structured maps is very similar to retrieving arrays: To bind structured objects use: 1. Create a type which implements a StructuredObjectWriter interface, example: a) b) 2. Use an instance as regular bind. 3. If you need to bind nil value, use special syntax: Binding structured arrays are like any other parameter. The only difference is - if you want to insert empty array (not nil but empty), you have to use: The following example shows how to retrieve very large values using the math/big package. This example retrieves a large INTEGER value to an interface and then extracts a big.Int value from that interface. If the value fits into an int64, then the code also copies the value to a variable of type int64. Note that a context that enables higher precision must be passed in with the query. If the variable named "rows" is known to contain a big.Int, then you can use the following instead of scanning into an interface and then converting to a big.Int: If the variable named "rows" contains a big.Int, then each of the following fails: Similar code and rules also apply to big.Float values. If you are not sure what data type will be returned, you can use code similar to the following to check the data type of the returned value: You can retrieve data in a columnar format similar to the format a server returns, without transposing them to rows. When working with the arrow columnar format in go driver, ArrowBatch structs are used. These are structs mostly corresponding to data chunks received from the backend. They allow for access to specific arrow.Record structs. An ArrowBatch can exist in a state where the underlying data has not yet been loaded. The data is downloaded and translated only on demand. Translation options are retrieved from a context.Context interface, which is either passed from query context or set by the user using WithContext(ctx) method. In order to access them you must use `WithArrowBatches` context, similar to the following: This returns []*ArrowBatch. ArrowBatch functions: GetRowCount(): Returns the number of rows in the ArrowBatch. Note that this returns 0 if the data has not yet been loaded, irrespective of it’s actual size. WithContext(ctx context.Context): Sets the context of the ArrowBatch to the one provided. Note that the context will not retroactively apply to data that has already been downloaded. For example: will produce the same result in records1 and records2, irrespective of the newly provided ctx. Context worth noting are: -WithArrowBatchesTimestampOption -WithHigherPrecision -WithArrowBatchesUtf8Validation described in more detail later. Fetch(): Returns the underlying records as *[]arrow.Record. When this function is called, the ArrowBatch checks whether the underlying data has already been loaded, and downloads it if not. Limitations: How to handle timestamps in Arrow batches: Snowflake returns timestamps natively (from backend to driver) in multiple formats. The Arrow timestamp is an 8-byte data type, which is insufficient to handle the larger date and time ranges used by Snowflake. Also, Snowflake supports 0-9 (nanosecond) digit precision for seconds, while Arrow supports only 3 (millisecond), 6 (microsecond), an 9 (nanosecond) precision. Consequently, Snowflake uses a custom timestamp format in Arrow, which differs on timestamp type and precision. If you want to use timestamps in Arrow batches, you have two options: How to handle invalid UTF-8 characters in Arrow batches: Snowflake previously allowed users to upload data with invalid UTF-8 characters. Consequently, Arrow records containing string columns in Snowflake could include these invalid UTF-8 characters. However, according to the Arrow specifications (https://arrow.apache.org/docs/cpp/api/datatype.html and https://github.com/apache/arrow/blob/a03d957b5b8d0425f9d5b6c98b6ee1efa56a1248/go/arrow/datatype.go#L73-L74), Arrow string columns should only contain UTF-8 characters. To address this issue and prevent potential downstream disruptions, the context WithArrowBatchesUtf8Validation, is introduced. When enabled, this feature iterates through all values in string columns, identifying and replacing any invalid characters with `�`. This ensures that Arrow records conform to the UTF-8 standards, preventing validation failures in downstream services like the Rust Arrow library that impose strict validation checks. How to handle higher precision in Arrow batches: To preserve BigDecimal values within Arrow batches, use WithHigherPrecision. This offers two main benefits: it helps avoid precision loss and defers the conversion to upstream services. Alternatively, without this setting, all non-zero scale numbers will be converted to float64, potentially resulting in loss of precision. Zero-scale numbers (DECIMAL256, DECIMAL128) will be converted to int64, which could lead to overflow. Binding allows a SQL statement to use a value that is stored in a Golang variable. Without binding, a SQL statement specifies values by specifying literals inside the statement. For example, the following statement uses the literal value “42“ in an UPDATE statement: With binding, you can execute a SQL statement that uses a value that is inside a variable. For example: The “?“ inside the “VALUES“ clause specifies that the SQL statement uses the value from a variable. Binding data that involves time zones can require special handling. For details, see the section titled "Timestamps with Time Zones". Version 1.6.23 (and later) of the driver takes advantage of sql.Null types which enables the proper handling of null parameters inside function calls, i.e.: The timestamp nullability had to be achieved by wrapping the sql.NullTime type as the Snowflake provides several date and time types which are mapped to single Go time.Time type: Version 1.3.9 (and later) of the Go Snowflake Driver supports the ability to bind an array variable to a parameter in a SQL INSERT statement. You can use this technique to insert multiple rows in a single batch. As an example, the following code inserts rows into a table that contains integer, float, boolean, and string columns. The example binds arrays to the parameters in the INSERT statement. If the array contains SQL NULL values, use slice []interface{}, which allows Golang nil values. This feature is available in version 1.6.12 (and later) of the driver. For example, For slices []interface{} containing time.Time values, a binding parameter flag is required for the preceding array variable in the Array() function. This feature is available in version 1.6.13 (and later) of the driver. For example, Note: For alternative ways to load data into the Snowflake database (including bulk loading using the COPY command), see Loading Data into Snowflake (https://docs.snowflake.com/en/user-guide-data-load.html). When you use array binding to insert a large number of values, the driver can improve performance by streaming the data (without creating files on the local machine) to a temporary stage for ingestion. The driver automatically does this when the number of values exceeds a threshold (no changes are needed to user code). In order for the driver to send the data to a temporary stage, the user must have the following privilege on the schema: If the user does not have this privilege, the driver falls back to sending the data with the query to the Snowflake database. In addition, the current database and schema for the session must be set. If these are not set, the CREATE TEMPORARY STAGE command executed by the driver can fail with the following error: For alternative ways to load data into the Snowflake database (including bulk loading using the COPY command), see Loading Data into Snowflake (https://docs.snowflake.com/en/user-guide-data-load.html). Go's database/sql package supports the ability to bind a parameter in a SQL statement to a time.Time variable. However, when the client binds data to send to the server, the driver cannot determine the correct Snowflake date/timestamp data type to associate with the binding parameter. For example: To resolve this issue, a binding parameter flag is introduced that associates any subsequent time.Time type to the DATE, TIME, TIMESTAMP_LTZ, TIMESTAMP_NTZ or BINARY data type. The above example could be rewritten as follows: The driver fetches TIMESTAMP_TZ (timestamp with time zone) data using the offset-based Location types, which represent a collection of time offsets in use in a geographical area, such as CET (Central European Time) or UTC (Coordinated Universal Time). The offset-based Location data is generated and cached when a Go Snowflake Driver application starts, and if the given offset is not in the cache, it is generated dynamically. Currently, Snowflake does not support the name-based Location types (e.g. "America/Los_Angeles"). For more information about Location types, see the Go documentation for https://golang.org/pkg/time/#Location. Internally, this feature leverages the []byte data type. As a result, BINARY data cannot be bound without the binding parameter flag. In the following example, sf is an alias for the gosnowflake package: The driver directly downloads a result set from the cloud storage if the size is large. It is required to shift workloads from the Snowflake database to the clients for scale. The download takes place by goroutine named "Chunk Downloader" asynchronously so that the driver can fetch the next result set while the application can consume the current result set. The application may change the number of result set chunk downloader if required. Note this does not help reduce memory footprint by itself. Consider Custom JSON Decoder. Custom JSON Decoder for Parsing Result Set (Experimental) The application may have the driver use a custom JSON decoder that incrementally parses the result set as follows. This option will reduce the memory footprint to half or even quarter, but it can significantly degrade the performance depending on the environment. The test cases running on Travis Ubuntu box show five times less memory footprint while four times slower. Be cautious when using the option. The Go Snowflake Driver supports JWT (JSON Web Token) authentication. To enable this feature, construct the DSN with fields "authenticator=SNOWFLAKE_JWT&privateKey=<your_private_key>", or using a Config structure specifying: The <your_private_key> should be a base64 URL encoded PKCS8 rsa private key string. One way to encode a byte slice to URL base 64 URL format is through the base64.URLEncoding.EncodeToString() function. On the server side, you can alter the public key with the SQL command: The <your_public_key> should be a base64 Standard encoded PKI public key string. One way to encode a byte slice to base 64 Standard format is through the base64.StdEncoding.EncodeToString() function. To generate the valid key pair, you can execute the following commands in the shell: Note: As of February 2020, Golang's official library does not support passcode-encrypted PKCS8 private key. For security purposes, Snowflake highly recommends that you store the passcode-encrypted private key on the disk and decrypt the key in your application using a library you trust. JWT tokens are recreated on each retry and they are valid (`exp` claim) for `jwtTimeout` seconds. Each retry timeout is configured by `jwtClientTimeout`. Retries are limited by total time of `loginTimeout`. The driver allows to authenticate using the external browser. When a connection is created, the driver will open the browser window and ask the user to sign in. To enable this feature, construct the DSN with field "authenticator=EXTERNALBROWSER" or using a Config structure with following Authenticator specified: The external browser authentication implements timeout mechanism. This prevents the driver from hanging interminably when browser window was closed, or not responding. Timeout defaults to 120s and can be changed through setting DSN field "externalBrowserTimeout=240" (time in seconds) or using a Config structure with following ExternalBrowserTimeout specified: This feature is available in version 1.3.8 or later of the driver. By default, Snowflake returns an error for queries issued with multiple statements. This restriction helps protect against SQL Injection attacks (https://en.wikipedia.org/wiki/SQL_injection). The multi-statement feature allows users skip this restriction and execute multiple SQL statements through a single Golang function call. However, this opens up the possibility for SQL injection, so it should be used carefully. The risk can be reduced by specifying the exact number of statements to be executed, which makes it more difficult to inject a statement by appending it. More details are below. The Go Snowflake Driver provides two functions that can execute multiple SQL statements in a single call: To compose a multi-statement query, simply create a string that contains all the queries, separated by semicolons, in the order in which the statements should be executed. To protect against SQL Injection attacks while using the multi-statement feature, pass a Context that specifies the number of statements in the string. For example: When multiple queries are executed by a single call to QueryContext(), multiple result sets are returned. After you process the first result set, get the next result set (for the next SQL statement) by calling NextResultSet(). The following pseudo-code shows how to process multiple result sets: The function db.ExecContext() returns a single result, which is the sum of the number of rows changed by each individual statement. For example, if your multi-statement query executed two UPDATE statements, each of which updated 10 rows, then the result returned would be 20. Individual row counts for individual statements are not available. The following code shows how to retrieve the result of a multi-statement query executed through db.ExecContext(): Note: Because a multi-statement ExecContext() returns a single value, you cannot detect offsetting errors. For example, suppose you expected the return value to be 20 because you expected each UPDATE statement to update 10 rows. If one UPDATE statement updated 15 rows and the other UPDATE statement updated only 5 rows, the total would still be 20. You would see no indication that the UPDATES had not functioned as expected. The ExecContext() function does not return an error if passed a query (e.g. a SELECT statement). However, it still returns only a single value, not a result set, so using it to execute queries (or a mix of queries and non-query statements) is impractical. The QueryContext() function does not return an error if passed non-query statements (e.g. DML). The function returns a result set for each statement, whether or not the statement is a query. For each non-query statement, the result set contains a single row that contains a single column; the value is the number of rows changed by the statement. If you want to execute a mix of query and non-query statements (e.g. a mix of SELECT and DML statements) in a multi-statement query, use QueryContext(). You can retrieve the result sets for the queries, and you can retrieve or ignore the row counts for the non-query statements. Note: PUT statements are not supported for multi-statement queries. If a SQL statement passed to ExecQuery() or QueryContext() fails to compile or execute, that statement is aborted, and subsequent statements are not executed. Any statements prior to the aborted statement are unaffected. For example, if the statements below are run as one multi-statement query, the multi-statement query fails on the third statement, and an exception is thrown. If you then query the contents of the table named "test", the values 1 and 2 would be present. When using the QueryContext() and ExecContext() functions, golang code can check for errors the usual way. For example: Preparing statements and using bind variables are also not supported for multi-statement queries. The Go Snowflake Driver supports asynchronous execution of SQL statements. Asynchronous execution allows you to start executing a statement and then retrieve the result later without being blocked while waiting. While waiting for the result of a SQL statement, you can perform other tasks, including executing other SQL statements. Most of the steps to execute an asynchronous query are the same as the steps to execute a synchronous query. However, there is an additional step, which is that you must call the WithAsyncMode() function to update your Context object to specify that asynchronous mode is enabled. In the code below, the call to "WithAsyncMode()" is specific to asynchronous mode. The rest of the code is compatible with both asynchronous mode and synchronous mode. The function db.QueryContext() returns an object of type snowflakeRows regardless of whether the query is synchronous or asynchronous. However: The call to the Next() function of snowflakeRows is always synchronous (i.e. blocking). If the query has not yet completed and the snowflakeRows object (named "rows" in this example) has not been filled in yet, then rows.Next() waits until the result set has been filled in. More generally, calls to any Golang SQL API function implemented in snowflakeRows or snowflakeResult are blocking calls, and wait if results are not yet available. (Examples of other synchronous calls include: snowflakeRows.Err(), snowflakeRows.Columns(), snowflakeRows.columnTypes(), snowflakeRows.Scan(), and snowflakeResult.RowsAffected().) Because the example code above executes only one query and no other activity, there is no significant difference in behavior between asynchronous and synchronous behavior. The differences become significant if, for example, you want to perform some other activity after the query starts and before it completes. The example code below starts a query, which run in the background, and then retrieves the results later. This example uses small SELECT statements that do not retrieve enough data to require asynchronous handling. However, the technique works for larger data sets, and for situations where the programmer might want to do other work after starting the queries and before retrieving the results. For a more elaborative example please see cmd/async/async.go The Go Snowflake Driver supports the PUT and GET commands. The PUT command copies a file from a local computer (the computer where the Golang client is running) to a stage on the cloud platform. The GET command copies data files from a stage on the cloud platform to a local computer. See the following for information on the syntax and supported parameters: Using PUT: The following example shows how to run a PUT command by passing a string to the db.Query() function: "<local_file>" should include the file path as well as the name. Snowflake recommends using an absolute path rather than a relative path. For example: Different client platforms (e.g. linux, Windows) have different path name conventions. Ensure that you specify path names appropriately. This is particularly important on Windows, which uses the backslash character as both an escape character and as a separator in path names. To send information from a stream (rather than a file) use code similar to the code below. (The ReplaceAll() function is needed on Windows to handle backslashes in the path to the file.) Note: PUT statements are not supported for multi-statement queries. Using GET: The following example shows how to run a GET command by passing a string to the db.Query() function: "<local_file>" should include the file path as well as the name. Snowflake recommends using an absolute path rather than a relative path. For example: To download a file into an in-memory stream (rather than a file) use code similar to the code below. Note: GET statements are not supported for multi-statement queries. Specifying temporary directory for encryption and compression: Putting and getting requires compression and/or encryption, which is done in the OS temporary directory. If you cannot use default temporary directory for your OS or you want to specify it yourself, you can use "tmpDirPath" DSN parameter. Remember, to encode slashes. Example: Using custom configuration for PUT/GET: If you want to override some default configuration options, you can use `WithFileTransferOptions` context. There are multiple config parameters including progress bars or compression.

Package feegrant provides functionality for authorizing the payment of transaction fees from one account (key) to another account (key). Effectively, this allows for a user to pay fees using the balance of an account different from their own. Example use cases would be allowing a key on a device to pay for fees using a master wallet, or a third party service allowing users to pay for transactions without ever really holding their own coins. This package provides ways for specifying fee allowances such that authorizing fee payment to another account can be done with clear and safe restrictions. A user would authorize granting fee payment to another user using MsgGrantAllowance and revoke that delegation using MsgRevokeAllowance. In both cases, Granter is the one who is authorizing fee payment and Grantee is the one who is receiving the fee payment authorization. So grantee would correspond to the one who is signing a transaction and the granter would be the address that pays the fees. The fee allowance that a grantee receives is specified by an implementation of the FeeAllowance interface. Two FeeAllowance implementations are provided in this package: BasicAllowance and PeriodicAllowance. Package feegrant is a reverse proxy. It translates gRPC into RESTful JSON APIs.

Package ssoadmin provides the API client, operations, and parameter types for AWS Single Sign-On Admin. IAM Identity Center (successor to Single Sign-On) helps you securely create, or connect, your workforce identities and manage their access centrally across Amazon Web Services accounts and applications. IAM Identity Center is the recommended approach for workforce authentication and authorization in Amazon Web Services, for organizations of any size and type. IAM Identity Center uses the sso and identitystore API namespaces. This reference guide provides information on single sign-on operations which could be used for access management of Amazon Web Services accounts. For information about IAM Identity Center features, see the IAM Identity Center User Guide. Many operations in the IAM Identity Center APIs rely on identifiers for users and groups, known as principals. For more information about how to work with principals and principal IDs in IAM Identity Center, see the Identity Store API Reference. Amazon Web Services provides SDKs that consist of libraries and sample code for various programming languages and platforms (Java, Ruby, .Net, iOS, Android, and more). The SDKs provide a convenient way to create programmatic access to IAM Identity Center and other Amazon Web Services services. For more information about the Amazon Web Services SDKs, including how to download and install them, see Tools for Amazon Web Services.

Package servicequotas provides the API client, operations, and parameter types for Service Quotas. With Service Quotas, you can view and manage your quotas easily as your Amazon Web Services workloads grow. Quotas, also referred to as limits, are the maximum number of resources that you can create in your Amazon Web Services account. For more information, see the Service Quotas User Guide.

Package hdkeychain provides an API for Decred hierarchical deterministic extended keys (based on BIP0032). The ability to implement hierarchical deterministic wallets depends on the ability to create and derive hierarchical deterministic extended keys. At a high level, this package provides support for those hierarchical deterministic extended keys by providing an ExtendedKey type and supporting functions. Each extended key can either be a private or public extended key which itself is capable of deriving a child extended key. Whether an extended key is a private or public extended key can be determined with the IsPrivate function. In order to create and sign transactions, or provide others with addresses to send funds to, the underlying key and address material must be accessible. This package provides the SerializedPubKey and SerializedPrivKey functions for this purpose. The caller may then create the desired address types. As previously mentioned, the extended keys are hierarchical meaning they are used to form a tree. The root of that tree is called the master node and this package provides the NewMaster function to create it from a cryptographically random seed. The GenerateSeed function is provided as a convenient way to create a random seed for use with the NewMaster function. Once you have created a tree root (or have deserialized an extended key as discussed later), the child extended keys can be derived by using either the Child or ChildBIP32Std function. The difference is described in the following section. These functions support deriving both normal (non-hardened) and hardened child extended keys. In order to derive a hardened extended key, use the HardenedKeyStart constant + the hardened key number as the index to the Child function. This provides the ability to cascade the keys into a tree and hence generate the hierarchical deterministic key chains. The Child function derives extended keys with a modified scheme based on BIP0032, whereas ChildBIP32Std produces keys that strictly conform to the standard. Specifically, the Decred variation strips leading zeros of a private key, causing subsequent child keys to differ from the keys expected by standard BIP0032. The ChildBIP32Std method retains leading zeros, ensuring the child keys expected by BIP0032 are derived. The Child function must be used for Decred wallet key derivation for legacy reasons. A private extended key can be used to derive both hardened and non-hardened (normal) child private and public extended keys. A public extended key can only be used to derive non-hardened child public extended keys. As enumerated in BIP0032 "knowledge of the extended public key plus any non-hardened private key descending from it is equivalent to knowing the extended private key (and thus every private and public key descending from it). This means that extended public keys must be treated more carefully than regular public keys. It is also the reason for the existence of hardened keys, and why they are used for the account level in the tree. This way, a leak of an account-specific (or below) private key never risks compromising the master or other accounts." A private extended key can be converted to a new instance of the corresponding public extended key with the Neuter function. The original extended key is not modified. A public extended key is still capable of deriving non-hardened child public extended keys. Extended keys are serialized and deserialized with the String and NewKeyFromString functions. The serialized key is a Base58-encoded string which looks like the following: Extended keys are much like normal Decred addresses in that they have version bytes which tie them to a specific network. The network that an extended key is associated with is specified when creating and decoding the key. In the case of decoding, an error will be returned if a given encoded extended key is not for the specified network. This example demonstrates the audits use case in BIP0032. This example demonstrates the default hierarchical deterministic wallet layout as described in BIP0032. This example demonstrates how to generate a cryptographically random seed then use it to create a new master node (extended key).

Package resourceexplorer2 provides the API client, operations, and parameter types for AWS Resource Explorer. Amazon Web Services Resource Explorer is a resource search and discovery service. By using Resource Explorer, you can explore your resources using an internet search engine-like experience. Examples of resources include Amazon Relational Database Service (Amazon RDS) instances, Amazon Simple Storage Service (Amazon S3) buckets, or Amazon DynamoDB tables. You can search for your resources using resource metadata like names, tags, and IDs. Resource Explorer can search across all of the Amazon Web Services Regions in your account in which you turn the service on, to simplify your cross-Region workloads. Resource Explorer scans the resources in each of the Amazon Web Services Regions in your Amazon Web Services account in which you turn on Resource Explorer. Resource Explorer creates and maintains an indexin each Region, with the details of that Region's resources. You can search across all of the indexed Regions in your account by designating one of your Amazon Web Services Regions to contain the aggregator index for the account. When you promote a local index in a Region to become the aggregator index for the account, Resource Explorer automatically replicates the index information from all local indexes in the other Regions to the aggregator index. Therefore, the Region with the aggregator index has a copy of all resource information for all Regions in the account where you turned on Resource Explorer. As a result, views in the aggregator index Region include resources from all of the indexed Regions in your account. For more information about Amazon Web Services Resource Explorer, including how to enable and configure the service, see the Amazon Web Services Resource Explorer User Guide.

Package hdkeychain provides an API for Decred hierarchical deterministic extended keys (based on BIP0032). The ability to implement hierarchical deterministic wallets depends on the ability to create and derive hierarchical deterministic extended keys. At a high level, this package provides support for those hierarchical deterministic extended keys by providing an ExtendedKey type and supporting functions. Each extended key can either be a private or public extended key which itself is capable of deriving a child extended key. Whether an extended key is a private or public extended key can be determined with the IsPrivate function. In order to create and sign transactions, or provide others with addresses to send funds to, the underlying key and address material must be accessible. This package provides the ECPubKey and ECPrivKey functions for this purpose. The caller may then create the desired address types. As previously mentioned, the extended keys are hierarchical meaning they are used to form a tree. The root of that tree is called the master node and this package provides the NewMaster function to create it from a cryptographically random seed. The GenerateSeed function is provided as a convenient way to create a random seed for use with the NewMaster function. Once you have created a tree root (or have deserialized an extended key as discussed later), the child extended keys can be derived by using the Child function. The Child function supports deriving both normal (non-hardened) and hardened child extended keys. In order to derive a hardened extended key, use the HardenedKeyStart constant + the hardened key number as the index to the Child function. This provides the ability to cascade the keys into a tree and hence generate the hierarchical deterministic key chains. A private extended key can be used to derive both hardened and non-hardened (normal) child private and public extended keys. A public extended key can only be used to derive non-hardened child public extended keys. As enumerated in BIP0032 "knowledge of the extended public key plus any non-hardened private key descending from it is equivalent to knowing the extended private key (and thus every private and public key descending from it). This means that extended public keys must be treated more carefully than regular public keys. It is also the reason for the existence of hardened keys, and why they are used for the account level in the tree. This way, a leak of an account-specific (or below) private key never risks compromising the master or other accounts." A private extended key can be converted to a new instance of the corresponding public extended key with the Neuter function. The original extended key is not modified. A public extended key is still capable of deriving non-hardened child public extended keys. Extended keys are serialized and deserialized with the String and NewKeyFromString functions. The serialized key is a Base58-encoded string which looks like the following: Extended keys are much like normal Decred addresses in that they have version bytes which tie them to a specific network. The network that an extended key is associated with is specified when creating and decoding the key. In the case of decoding, an error will be returned if a given encoded extended key is not for the specified network. This example demonstrates the audits use case in BIP0032. This example demonstrates the default hierarchical deterministic wallet layout as described in BIP0032. This example demonstrates how to generate a cryptographically random seed then use it to create a new master node (extended key).

Package ram provides the API client, operations, and parameter types for AWS Resource Access Manager. This is the Resource Access Manager API Reference. This documentation provides descriptions and syntax for each of the actions and data types in RAM. RAM is a service that helps you securely share your Amazon Web Services resources to other Amazon Web Services accounts. If you use Organizations to manage your accounts, then you can share your resources with your entire organization or to organizational units (OUs). For supported resource types, you can also share resources with individual Identity and Access Management (IAM) roles and users. To learn more about RAM, see the following resources: Resource Access Manager product page Resource Access Manager User Guide

Package support provides the API client, operations, and parameter types for AWS Support. The Amazon Web Services Support API Reference is intended for programmers who need detailed information about the Amazon Web Services Support operations and data types. You can use the API to manage your support cases programmatically. The Amazon Web Services Support API uses HTTP methods that return results in JSON format. You must have a Business, Enterprise On-Ramp, or Enterprise Support plan to use the Amazon Web Services Support API. If you call the Amazon Web Services Support API from an account that doesn't have a Business, Enterprise On-Ramp, or Enterprise Support plan, the SubscriptionRequiredException error message appears. For information about changing your support plan, see Amazon Web Services Support. You can also use the Amazon Web Services Support API to access features for Trusted Advisor. You can return a list of checks and their descriptions, get check results, specify checks to refresh, and get the refresh status of checks. You can manage your support cases with the following Amazon Web Services Support API operations: The CreateCase, DescribeCases, DescribeAttachment, and ResolveCaseoperations create Amazon Web Services Support cases, retrieve information about cases, and resolve cases. The DescribeCommunications, AddCommunicationToCase, and AddAttachmentsToSetoperations retrieve and add communications and attachments to Amazon Web Services Support cases. The DescribeServicesand DescribeSeverityLevelsoperations return Amazon Web Service names, service codes, service categories, and problem severity levels. You use these values when you call the CreateCase operation. You can also use the Amazon Web Services Support API to call the Trusted Advisor operations. For more information, see Trusted Advisorin the Amazon Web Services Support User Guide. For authentication of requests, Amazon Web Services Support uses Signature Version 4 Signing Process. For more information about this service and the endpoints to use, see About the Amazon Web Services Support API in the Amazon Web Services Support User Guide.

Package codeartifact provides the API client, operations, and parameter types for CodeArtifact. language-native package managers and build tools such as npm, Apache Maven, pip, and dotnet. You can use CodeArtifact to share packages with development teams and pull packages. Packages can be pulled from both public and CodeArtifact repositories. You can also create an upstream relationship between a CodeArtifact repository and another repository, which effectively merges their contents from the point of view of a package manager client. CodeArtifact concepts Repository: A CodeArtifact repository contains a set of package versions, each of which maps to a set of assets, or files. Repositories are polyglot, so a single repository can contain packages of any supported type. Each repository exposes endpoints for fetching and publishing packages using tools such as the npm CLI or the Maven CLI ( mvn ). For a list of supported package managers, see the CodeArtifact User Guide. Domain: Repositories are aggregated into a higher-level entity known as a domain. All package assets and metadata are stored in the domain, but are consumed through repositories. A given package asset, such as a Maven JAR file, is stored once per domain, no matter how many repositories it's present in. All of the assets and metadata in a domain are encrypted with the same customer master key (CMK) stored in Key Management Service (KMS). Each repository is a member of a single domain and can't be moved to a The domain allows organizational policy to be applied across multiple Although an organization can have multiple domains, we recommend a single In CodeArtifact, a package consists of: A name (for example, webpack is the name of a popular npm package) An optional namespace (for example, @types in @types/node ) A set of versions (for example, 1.0.0 , 1.0.1 , 1.0.2 , etc.) Package-level metadata (for example, npm tags) Package group: A group of packages that match a specified definition. Package groups can be used to apply configuration to multiple packages that match a defined pattern using package format, package namespace, and package name. You can use package groups to more conveniently configure package origin controls for multiple packages. Package origin controls are used to block or allow ingestion or publishing of new package versions, which protects users from malicious actions known as dependency substitution attacks. Package version: A version of a package, such as @types/node 12.6.9 . The version number format and semantics vary for different package formats. For example, npm package versions must conform to the Semantic Versioning specification. In CodeArtifact, a package version consists of the version identifier, metadata at the package version level, and a set of assets. Upstream repository: One repository is upstream of another when the package versions in it can be accessed from the repository endpoint of the downstream repository, effectively merging the contents of the two repositories from the point of view of a client. CodeArtifact allows creating an upstream relationship between two repositories. Asset: An individual file stored in CodeArtifact associated with a package version, such as an npm .tgz file or Maven POM and JAR files. CodeArtifact supported API operations AssociateExternalConnection : Adds an existing external connection to a repository. CopyPackageVersions : Copies package versions from one repository to another repository in the same domain. CreateDomain : Creates a domain. CreatePackageGroup : Creates a package group. CreateRepository : Creates a CodeArtifact repository in a domain. DeleteDomain : Deletes a domain. You cannot delete a domain that contains repositories. DeleteDomainPermissionsPolicy : Deletes the resource policy that is set on a domain. DeletePackage : Deletes a package and all associated package versions. DeletePackageGroup : Deletes a package group. Does not delete packages or package versions that are associated with a package group. DeletePackageVersions : Deletes versions of a package. After a package has been deleted, it can be republished, but its assets and metadata cannot be restored because they have been permanently removed from storage. DeleteRepository : Deletes a repository. DeleteRepositoryPermissionsPolicy : Deletes the resource policy that is set on a repository. DescribeDomain : Returns a DomainDescription object that contains information about the requested domain. DescribePackage : Returns a PackageDescriptionobject that contains details about a package. DescribePackageGroup : Returns a PackageGroupobject that contains details about a package group. DescribePackageVersion : Returns a PackageVersionDescriptionobject that contains details about a package version. DescribeRepository : Returns a RepositoryDescription object that contains detailed information about the requested repository. DisposePackageVersions : Disposes versions of a package. A package version with the status Disposed cannot be restored because they have been permanently removed from storage. DisassociateExternalConnection : Removes an existing external connection from a repository. GetAssociatedPackageGroup : Returns the most closely associated package group to the specified package. GetAuthorizationToken : Generates a temporary authorization token for accessing repositories in the domain. The token expires the authorization period has passed. The default authorization period is 12 hours and can be customized to any length with a maximum of 12 hours. GetDomainPermissionsPolicy : Returns the policy of a resource that is attached to the specified domain. GetPackageVersionAsset : Returns the contents of an asset that is in a package version. GetPackageVersionReadme : Gets the readme file or descriptive text for a package version. GetRepositoryEndpoint : Returns the endpoint of a repository for a specific package format. A repository has one endpoint for each package format: cargo generic maven npm nuget pypi ruby swift GetRepositoryPermissionsPolicy : Returns the resource policy that is set on a repository. ListAllowedRepositoriesForGroup : Lists the allowed repositories for a package group that has origin configuration set to ALLOW_SPECIFIC_REPOSITORIES . ListAssociatedPackages : Returns a list of packages associated with the requested package group. ListDomains : Returns a list of DomainSummary objects. Each returned DomainSummary object contains information about a domain. ListPackages : Lists the packages in a repository. ListPackageGroups : Returns a list of package groups in the requested domain. ListPackageVersionAssets : Lists the assets for a given package version. ListPackageVersionDependencies : Returns a list of the direct dependencies for a package version. ListPackageVersions : Returns a list of package versions for a specified package in a repository. ListRepositories : Returns a list of repositories owned by the Amazon Web Services account that called this method. ListRepositoriesInDomain : Returns a list of the repositories in a domain. ListSubPackageGroups : Returns a list of direct children of the specified package group. PublishPackageVersion : Creates a new package version containing one or more assets. PutDomainPermissionsPolicy : Attaches a resource policy to a domain. PutPackageOriginConfiguration : Sets the package origin configuration for a package, which determine how new versions of the package can be added to a specific repository. PutRepositoryPermissionsPolicy : Sets the resource policy on a repository that specifies permissions to access it. UpdatePackageGroup : Updates a package group. This API cannot be used to update a package group's origin configuration or pattern. UpdatePackageGroupOriginConfiguration : Updates the package origin configuration for a package group. UpdatePackageVersionsStatus : Updates the status of one or more versions of a package. UpdateRepository : Updates the properties of a repository.

Package costandusagereportservice provides the API client, operations, and parameter types for AWS Cost and Usage Report Service. You can use the Amazon Web Services Cost and Usage Report API to programmatically create, query, and delete Amazon Web Services Cost and Usage Report definitions. Amazon Web Services Cost and Usage Report track the monthly Amazon Web Services costs and usage associated with your Amazon Web Services account. The report contains line items for each unique combination of Amazon Web Services product, usage type, and operation that your Amazon Web Services account uses. You can configure the Amazon Web Services Cost and Usage Report to show only the data that you want, using the Amazon Web Services Cost and Usage Report API. The Amazon Web Services Cost and Usage Report API provides the following endpoint:

Package health provides the API client, operations, and parameter types for AWS Health APIs and Notifications. The Health API provides access to the Health information that appears in the Health Dashboard. You can use the API operations to get information about events that might affect your Amazon Web Services and resources. You must have a Business, Enterprise On-Ramp, or Enterprise Support plan from Amazon Web Services Support to use the Health API. If you call the Health API from an Amazon Web Services account that doesn't have a Business, Enterprise On-Ramp, or Enterprise Support plan, you receive a SubscriptionRequiredException error. For API access, you need an access key ID and a secret access key. Use temporary credentials instead of long-term access keys when possible. Temporary credentials include an access key ID, a secret access key, and a security token that indicates when the credentials expire. For more information, see Best practices for managing Amazon Web Services access keysin the Amazon Web Services General Reference. You can use the Health endpoint health.us-east-1.amazonaws.com (HTTPS) to call the Health API operations. Health supports a multi-Region application architecture and has two regional endpoints in an active-passive configuration. You can use the high availability endpoint example to determine which Amazon Web Services Region is active, so that you can get the latest information from the API. For more information, see Accessing the Health APIin the Health User Guide. For authentication of requests, Health uses the Signature Version 4 Signing Process. If your Amazon Web Services account is part of Organizations, you can use the Health organizational view feature. This feature provides a centralized view of Health events across all accounts in your organization. You can aggregate Health events in real time to identify accounts in your organization that are affected by an operational event or get notified of security vulnerabilities. Use the organizational view API operations to enable this feature and return event information. For more information, see Aggregating Health eventsin the Health User Guide. When you use the Health API operations to return Health events, see the following recommendations: Use the eventScopeCodeparameter to specify whether to return Health events that are public or account-specific. Use pagination to view all events from the response. For example, if you call the DescribeEventsForOrganization operation to get all events in your organization, you might receive several page results. Specify the nextToken in the next request to return more results.

Package licensemanager provides the API client, operations, and parameter types for AWS License Manager. License Manager makes it easier to manage licenses from software vendors across multiple Amazon Web Services accounts and on-premises servers.

Package gofpdf implements a PDF document generator with high level support for text, drawing and images. - UTF-8 support - Choice of measurement unit, page format and margins - Page header and footer management - Automatic page breaks, line breaks, and text justification - Inclusion of JPEG, PNG, GIF, TIFF and basic path-only SVG images - Colors, gradients and alpha channel transparency - Outline bookmarks - Internal and external links - TrueType, Type1 and encoding support - Page compression - Lines, Bézier curves, arcs, and ellipses - Rotation, scaling, skewing, translation, and mirroring - Clipping - Document protection - Layers - Templates - Barcodes - Charting facility - Import PDFs as templates gofpdf has no dependencies other than the Go standard library. All tests pass on Linux, Mac and Windows platforms. gofpdf supports UTF-8 TrueType fonts and “right-to-left” languages. Note that Chinese, Japanese, and Korean characters may not be included in many general purpose fonts. For these languages, a specialized font (for example, NotoSansSC for simplified Chinese) can be used. Also, support is provided to automatically translate UTF-8 runes to code page encodings for languages that have fewer than 256 glyphs. This repository will not be maintained, at least for some unknown duration. But it is hoped that gofpdf has a bright future in the open source world. Due to Go’s promise of compatibility, gofpdf should continue to function without modification for a longer time than would be the case with many other languages. Forks should be based on the last viable commit. Tools such as active-forks can be used to select a fork that looks promising for your needs. If a particular fork looks like it has taken the lead in attracting followers, this README will be updated to point people in that direction. The efforts of all contributors to this project have been deeply appreciated. Best wishes to all of you. If you currently use the $GOPATH scheme, install the package with the following command. To test the installation, run The following Go code generates a simple PDF file. See the functions in the fpdf_test.go file (shown as examples in this documentation) for more advanced PDF examples. If an error occurs in an Fpdf method, an internal error field is set. After this occurs, Fpdf method calls typically return without performing any operations and the error state is retained. This error management scheme facilitates PDF generation since individual method calls do not need to be examined for failure; it is generally sufficient to wait until after Output() is called. For the same reason, if an error occurs in the calling application during PDF generation, it may be desirable for the application to transfer the error to the Fpdf instance by calling the SetError() method or the SetErrorf() method. At any time during the life cycle of the Fpdf instance, the error state can be determined with a call to Ok() or Err(). The error itself can be retrieved with a call to Error(). This package is a relatively straightforward translation from the original FPDF library written in PHP (despite the caveat in the introduction to Effective Go). The API names have been retained even though the Go idiom would suggest otherwise (for example, pdf.GetX() is used rather than simply pdf.X()). The similarity of the two libraries makes the original FPDF website a good source of information. It includes a forum and FAQ. However, some internal changes have been made. Page content is built up using buffers (of type bytes.Buffer) rather than repeated string concatenation. Errors are handled as explained above rather than panicking. Output is generated through an interface of type io.Writer or io.WriteCloser. A number of the original PHP methods behave differently based on the type of the arguments that are passed to them; in these cases additional methods have been exported to provide similar functionality. Font definition files are produced in JSON rather than PHP. A side effect of running go test ./... is the production of a number of example PDFs. These can be found in the gofpdf/pdf directory after the tests complete. Please note that these examples run in the context of a test. In order run an example as a standalone application, you’ll need to examine fpdf_test.go for some helper routines, for example exampleFilename() and summary(). Example PDFs can be compared with reference copies in order to verify that they have been generated as expected. This comparison will be performed if a PDF with the same name as the example PDF is placed in the gofpdf/pdf/reference directory and if the third argument to ComparePDFFiles() in internal/example/example.go is true. (By default it is false.) The routine that summarizes an example will look for this file and, if found, will call ComparePDFFiles() to check the example PDF for equality with its reference PDF. If differences exist between the two files they will be printed to standard output and the test will fail. If the reference file is missing, the comparison is considered to succeed. In order to successfully compare two PDFs, the placement of internal resources must be consistent and the internal creation timestamps must be the same. To do this, the methods SetCatalogSort() and SetCreationDate() need to be called for both files. This is done automatically for all examples. Nothing special is required to use the standard PDF fonts (courier, helvetica, times, zapfdingbats) in your documents other than calling SetFont(). You should use AddUTF8Font() or AddUTF8FontFromBytes() to add a TrueType UTF-8 encoded font. Use RTL() and LTR() methods switch between “right-to-left” and “left-to-right” mode. In order to use a different non-UTF-8 TrueType or Type1 font, you will need to generate a font definition file and, if the font will be embedded into PDFs, a compressed version of the font file. This is done by calling the MakeFont function or using the included makefont command line utility. To create the utility, cd into the makefont subdirectory and run “go build”. This will produce a standalone executable named makefont. Select the appropriate encoding file from the font subdirectory and run the command as in the following example. In your PDF generation code, call AddFont() to load the font and, as with the standard fonts, SetFont() to begin using it. Most examples, including the package example, demonstrate this method. Good sources of free, open-source fonts include Google Fonts and DejaVu Fonts. The draw2d package is a two dimensional vector graphics library that can generate output in different forms. It uses gofpdf for its document production mode. gofpdf is a global community effort and you are invited to make it even better. If you have implemented a new feature or corrected a problem, please consider contributing your change to the project. A contribution that does not directly pertain to the core functionality of gofpdf should be placed in its own directory directly beneath the contrib directory. Here are guidelines for making submissions. Your change should - be compatible with the MIT License - be properly documented - be formatted with go fmt - include an example in fpdf_test.go if appropriate - conform to the standards of golint and go vet, that is, golint . and go vet . should not generate any warnings - not diminish test coverage Pull requests are the preferred means of accepting your changes. gofpdf is released under the MIT License. It is copyrighted by Kurt Jung and the contributors acknowledged below. This package’s code and documentation are closely derived from the FPDF library created by Olivier Plathey, and a number of font and image resources are copied directly from it. Bruno Michel has provided valuable assistance with the code. Drawing support is adapted from the FPDF geometric figures script by David Hernández Sanz. Transparency support is adapted from the FPDF transparency script by Martin Hall-May. Support for gradients and clipping is adapted from FPDF scripts by Andreas Würmser. Support for outline bookmarks is adapted from Olivier Plathey by Manuel Cornes. Layer support is adapted from Olivier Plathey. Support for transformations is adapted from the FPDF transformation script by Moritz Wagner and Andreas Würmser. PDF protection is adapted from the work of Klemen Vodopivec for the FPDF product. Lawrence Kesteloot provided code to allow an image’s extent to be determined prior to placement. Support for vertical alignment within a cell was provided by Stefan Schroeder. Ivan Daniluk generalized the font and image loading code to use the Reader interface while maintaining backward compatibility. Anthony Starks provided code for the Polygon function. Robert Lillack provided the Beziergon function and corrected some naming issues with the internal curve function. Claudio Felber provided implementations for dashed line drawing and generalized font loading. Stani Michiels provided support for multi-segment path drawing with smooth line joins, line join styles, enhanced fill modes, and has helped greatly with package presentation and tests. Templating is adapted by Marcus Downing from the FPDF_Tpl library created by Jan Slabon and Setasign. Jelmer Snoeck contributed packages that generate a variety of barcodes and help with registering images on the web. Jelmer Snoek and Guillermo Pascual augmented the basic HTML functionality with aligned text. Kent Quirk implemented backwards-compatible support for reading DPI from images that support it, and for setting DPI manually and then having it properly taken into account when calculating image size. Paulo Coutinho provided support for static embedded fonts. Dan Meyers added support for embedded JavaScript. David Fish added a generic alias-replacement function to enable, among other things, table of contents functionality. Andy Bakun identified and corrected a problem in which the internal catalogs were not sorted stably. Paul Montag added encoding and decoding functionality for templates, including images that are embedded in templates; this allows templates to be stored independently of gofpdf. Paul also added support for page boxes used in printing PDF documents. Wojciech Matusiak added supported for word spacing. Artem Korotkiy added support of UTF-8 fonts. Dave Barnes added support for imported objects and templates. Brigham Thompson added support for rounded rectangles. Joe Westcott added underline functionality and optimized image storage. Benoit KUGLER contributed support for rectangles with corners of unequal radius, modification times, and for file attachments and annotations. - Remove all legacy code page font support; use UTF-8 exclusively - Improve test coverage as reported by the coverage tool. Example demonstrates the generation of a simple PDF document. Note that since only core fonts are used (in this case Arial, a synonym for Helvetica), an empty string can be specified for the font directory in the call to New(). Note also that the example.Filename() and example.Summary() functions belong to a separate, internal package and are not part of the gofpdf library. If an error occurs at some point during the construction of the document, subsequent method calls exit immediately and the error is finally retrieved with the output call where it can be handled by the application.

This is the official Go SDK for Oracle Cloud Infrastructure Refer to https://github.com/oracle/oci-go-sdk/blob/master/README.md#installing for installation instructions. Refer to https://github.com/oracle/oci-go-sdk/blob/master/README.md#configuring for configuration instructions. The following example shows how to get started with the SDK. The example belows creates an identityClient struct with the default configuration. It then utilizes the identityClient to list availability domains and prints them out to stdout More examples can be found in the SDK Github repo: https://github.com/oracle/oci-go-sdk/tree/master/example Optional fields are represented with the `mandatory:"false"` tag on input structs. The SDK will omit all optional fields that are nil when making requests. In the case of enum-type fields, the SDK will omit fields whose value is an empty string. The SDK uses pointers for primitive types in many input structs. To aid in the construction of such structs, the SDK provides functions that return a pointer for a given value. For example: Dedicated endpoints are the endpoint templates defined by the service for a specific realm at client level. OCI Go SDK allows you to enable the use of these realm-specific endpoint templates feature at application level and at client level. The value set at client level takes precedence over the value set at the application level. This feature is disabled by default. For reference, please refer https://github.com/oracle/oci-go-sdk/blob/master/example/example_objectstorage_test.go#L222-L251 The SDK exposes functionality that allows the user to customize any http request before is sent to the service. You can do so by setting the `Interceptor` field in any of the `Client` structs. For example: The Interceptor closure gets called before the signing process, thus any changes done to the request will be properly signed and submitted to the service. The SDK exposes a stand-alone signer that can be used to signing custom requests. Related code can be found here: https://github.com/oracle/oci-go-sdk/blob/master/common/http_signer.go. The example below shows how to create a default signer. The signer also allows more granular control on the headers used for signing. For example: You can combine a custom signer with the exposed clients in the SDK. This allows you to add custom signed headers to the request. Following is an example: Bear in mind that some services have a white list of headers that it expects to be signed. Therefore, adding an arbitrary header can result in authentications errors. To see a runnable example, see https://github.com/oracle/oci-go-sdk/blob/master/example/example_identity_test.go For more information on the signing algorithm refer to: https://docs.cloud.oracle.com/Content/API/Concepts/signingrequests.htm Some operations accept or return polymorphic JSON objects. The SDK models such objects as interfaces. Further the SDK provides structs that implement such interfaces. Thus, for all operations that expect interfaces as input, pass the struct in the SDK that satisfies such interface. For example: In the case of a polymorphic response you can type assert the interface to the expected type. For example: An example of polymorphic JSON request handling can be found here: https://github.com/oracle/oci-go-sdk/blob/master/example/example_core_test.go#L63 When calling a list operation, the operation will retrieve a page of results. To retrieve more data, call the list operation again, passing in the value of the most recent response's OpcNextPage as the value of Page in the next list operation call. When there is no more data the OpcNextPage field will be nil. An example of pagination using this logic can be found here: https://github.com/oracle/oci-go-sdk/blob/master/example/example_core_pagination_test.go The SDK has a built-in logging mechanism used internally. The internal logging logic is used to record the raw http requests, responses and potential errors when (un)marshalling request and responses. Built-in logging in the SDK is controlled via the environment variable "OCI_GO_SDK_DEBUG" and its contents. The below are possible values for the "OCI_GO_SDK_DEBUG" variable 1. "info" or "i" enables all info logging messages 2. "debug" or "d" enables all debug and info logging messages 3. "verbose" or "v" or "1" enables all verbose, debug and info logging messages 4. "null" turns all logging messages off. If the value of the environment variable does not match any of the above then default logging level is "info". If the environment variable is not present then no logging messages are emitted. You can also enable logs by code. For example This way you enable debug logs by code. The default destination for logging is Stderr and if you want to output log to a file you can set via environment variable "OCI_GO_SDK_LOG_OUTPUT_MODE". The below are possible values 1. "file" or "f" enables all logging output saved to file 2. "combine" or "c" enables all logging output to both stderr and file You can also customize the log file location and name via "OCI_GO_SDK_LOG_FILE" environment variable, the value should be the path to a specific file If this environment variable is not present, the default location will be the project root path Sometimes you may need to wait until an attribute of a resource, such as an instance or a VCN, reaches a certain state. An example of this would be launching an instance and then waiting for the instance to become available, or waiting until a subnet in a VCN has been terminated. You might also want to retry the same operation again if there's network issue etc... This can be accomplished by using the RequestMetadata.RetryPolicy(request level configuration), alternatively, global(all services) or client level RetryPolicy configration is also possible. You can find the examples here: https://github.com/oracle/oci-go-sdk/blob/master/example/example_retry_test.go If you are trying to make a PUT/POST API call with binary request body, please make sure the binary request body is resettable, which means the request body should inherit Seeker interface. The Retry behavior Precedence (Highest to lowest) is defined as below:- The OCI Go SDK defines a default retry policy that retries on the errors suitable for retries (see https://docs.oracle.com/en-us/iaas/Content/API/References/apierrors.htm), for a recommended period of time (up to 7 attempts spread out over at most approximately 1.5 minutes). The default retry policy is defined by : Default Retry-able Errors Below is the list of default retry-able errors for which retry attempts should be made. The following errors should be retried (with backoff). HTTP Code Customer-facing Error Code Apart from the above errors, retries should also be attempted in the following Client Side errors : 1. HTTP Connection timeout 2. Request Connection Errors 3. Request Exceptions 4. Other timeouts (like Read Timeout) The above errors can be avoided through retrying and hence, are classified as the default retry-able errors. Additionally, retries should also be made for Circuit Breaker exceptions (Exceptions raised by Circuit Breaker in an open state) Default Termination Strategy The termination strategy defines when SDKs should stop attempting to retry. In other words, it's the deadline for retries. The OCI SDKs should stop retrying the operation after 7 retry attempts. This means the SDKs will have retried for ~98 seconds or ~1.5 minutes have elapsed due to total delays. SDKs will make a total of 8 attempts. (1 initial request + 7 retries) Default Delay Strategy Default Delay Strategy - The delay strategy defines the amount of time to wait between each of the retry attempts. The default delay strategy chosen for the SDK – Exponential backoff with jitter, using: 1. The base time to use in retry calculations will be 1 second 2. An exponent of 2. When calculating the next retry time, the SDK will raise this to the power of the number of attempts 3. A maximum wait time between calls of 30 seconds (Capped) 4. Added jitter value between 0-1000 milliseconds to spread out the requests Configure and use default retry policy You can set this retry policy for a single request: or for all requests made by a client: or for all requests made by all clients: or setting default retry via environment variable, which is a global switch for all services: Some services enable retry for operations by default, this can be overridden using any alternatives mentioned above. To know which service operations have retries enabled by default, look at the operation's description in the SDK - it will say whether that it has retries enabled by default Some resources may have to be replicated across regions and are only eventually consistent. That means the request to create, update, or delete the resource succeeded, but the resource is not available everywhere immediately. Creating, updating, or deleting any resource in the Identity service is affected by eventual consistency, and doing so may cause other operations in other services to fail until the Identity resource has been replicated. For example, the request to CreateTag in the Identity service in the home region succeeds, but immediately using that created tag in another region in a request to LaunchInstance in the Compute service may fail. If you are creating, updating, or deleting resources in the Identity service, we recommend using an eventually consistent retry policy for any service you access. The default retry policy already deals with eventual consistency. Example: This retry policy will use a different strategy if an eventually consistent change was made in the recent past (called the "eventually consistent window", currently defined to be 4 minutes after the eventually consistent change). This special retry policy for eventual consistency will: 1. make up to 9 attempts (including the initial attempt); if an attempt is successful, no more attempts will be made 2. retry at most until (a) approximately the end of the eventually consistent window or (b) the end of the default retry period of about 1.5 minutes, whichever is farther in the future; if an attempt is successful, no more attempts will be made, and the OCI Go SDK will not wait any longer 3. retry on the error codes 400-RelatedResourceNotAuthorizedOrNotFound, 404-NotAuthorizedOrNotFound, and 409-NotAuthorizedOrResourceAlreadyExists, for which the default retry policy does not retry, in addition to the errors the default retry policy retries on (see https://docs.oracle.com/en-us/iaas/Content/API/References/apierrors.htm) If there were no eventually consistent actions within the recent past, then this special retry strategy is not used. If you want a retry policy that does not handle eventual consistency in a special way, for example because you retry on all error responses, you can use DefaultRetryPolicyWithoutEventualConsistency or NewRetryPolicyWithOptions with the common.ReplaceWithValuesFromRetryPolicy(common.DefaultRetryPolicyWithoutEventualConsistency()) option: The NewRetryPolicy function also creates a retry policy without eventual consistency. Circuit Breaker can prevent an application repeatedly trying to execute an operation that is likely to fail, allowing it to continue without waiting for the fault to be rectified or wasting CPU cycles, of course, it also enables an application to detect whether the fault has been resolved. If the problem appears to have been rectified, the application can attempt to invoke the operation. Go SDK intergrates sony/gobreaker solution, wraps in a circuit breaker object, which monitors for failures. Once the failures reach a certain threshold, the circuit breaker trips, and all further calls to the circuit breaker return with an error, this also saves the service from being overwhelmed with network calls in case of an outage. Circuit Breaker Configuration Definitions 1. Failure Rate Threshold - The state of the CircuitBreaker changes from CLOSED to OPEN when the failure rate is equal or greater than a configurable threshold. For example when more than 50% of the recorded calls have failed. 2. Reset Timeout - The timeout after which an open circuit breaker will attempt a request if a request is made 3. Failure Exceptions - The list of Exceptions that will be regarded as failures for the circuit. 4. Minimum number of calls/ Volume threshold - Configures the minimum number of calls which are required (per sliding window period) before the CircuitBreaker can calculate the error rate. 1. Failure Rate Threshold - 80% - This means when 80% of the requests calculated for a time window of 120 seconds have failed then the circuit will transition from closed to open. 2. Minimum number of calls/ Volume threshold - A value of 10, for the above defined time window of 120 seconds. 3. Reset Timeout - 30 seconds to wait before setting the breaker to halfOpen state, and trying the action again. 4. Failure Exceptions - The failures for the circuit will only be recorded for the retryable/transient exceptions. This means only the following exceptions will be regarded as failure for the circuit. HTTP Code Customer-facing Error Code Apart from the above, the following client side exceptions will also be treated as a failure for the circuit : 1. HTTP Connection timeout 2. Request Connection Errors 3. Request Exceptions 4. Other timeouts (like Read Timeout) Go SDK enable circuit breaker with default configuration for most of the service clients, if you don't want to enable the solution, can disable the functionality before your application running Go SDK also supports customize Circuit Breaker with specified configurations. You can find the examples here: https://github.com/oracle/oci-go-sdk/blob/master/example/example_circuitbreaker_test.go To know which service clients have circuit breakers enabled, look at the service client's description in the SDK - it will say whether that it has circuit breakers enabled by default As a result of the SDK treating responses with a non-2xx HTTP status code as an error, the SDK will produce an error on 3xx responses. This can impact operations which support conditional GETs, such as GetObject() and HeadObject() methods as these can return responses with an HTTP status code of 304 if passed an 'IfNoneMatch' that corresponds to the current etag of the object / bucket. In order to account for this, you should check for status code 304 when an error is produced. For example: The GO SDK uses the net/http package to make calls to OCI services. If your environment requires you to use a proxy server for outgoing HTTP requests then you can set this up in the following ways: 1. Configuring environment variable as described here https://golang.org/pkg/net/http/#ProxyFromEnvironment 2. Modifying the underlying Transport struct for a service client In order to modify the underlying Transport struct in HttpClient, you can do something similar to (sample code for audit service client): The Object Storage service supports multipart uploads to make large object uploads easier by splitting the large object into parts. The Go SDK supports raw multipart upload operations for advanced use cases, as well as a higher level upload class that uses the multipart upload APIs. For links to the APIs used for multipart upload operations, see Managing Multipart Uploads (https://docs.cloud.oracle.com/iaas/Content/Object/Tasks/usingmultipartuploads.htm). Higher level multipart uploads are implemented using the UploadManager, which will: split a large object into parts for you, upload the parts in parallel, and then recombine and commit the parts as a single object in storage. This code sample shows how to use the UploadManager to automatically split an object into parts for upload to simplify interaction with the Object Storage service: https://github.com/oracle/oci-go-sdk/blob/master/example/example_objectstorage_test.go Some response fields are enum-typed. In the future, individual services may return values not covered by existing enums for that field. To address this possibility, every enum-type response field is a modeled as a type that supports any string. Thus if a service returns a value that is not recognized by your version of the SDK, then the response field will be set to this value. When individual services return a polymorphic JSON response not available as a concrete struct, the SDK will return an implementation that only satisfies the interface modeling the polymorphic JSON response. If you are using a version of the SDK released prior to the announcement of a new region, you may need to use a workaround to reach it, depending on whether the region is in the oraclecloud.com realm. A region is a localized geographic area. For more information on regions and how to identify them, see Regions and Availability Domains(https://docs.cloud.oracle.com/iaas/Content/General/Concepts/regions.htm). A realm is a set of regions that share entities. You can identify your realm by looking at the domain name at the end of the network address. For example, the realm for xyz.abc.123.oraclecloud.com is oraclecloud.com. oraclecloud.com Realm: For regions in the oraclecloud.com realm, even if common.Region does not contain the new region, the forward compatibility of the SDK can automatically handle it. You can pass new region names just as you would pass ones that are already defined. For more information on passing region names in the configuration, see Configuring (https://github.com/oracle/oci-go-sdk/blob/master/README.md#configuring). For details on common.Region, see (https://github.com/oracle/oci-go-sdk/blob/master/common/common.go). Other Realms: For regions in realms other than oraclecloud.com, you can use the following workarounds to reach new regions with earlier versions of the SDK. NOTE: Be sure to supply the appropriate endpoints for your region. You can overwrite the target host with client.Host: If you are authenticating via instance principals, you can set the authentication endpoint in an environment variable: In order to use a custom CA bundle, you can set the environment variable OCI_DEFAULT_CERTS_PATH to point to the path of custom CA Bundle you want the OCI GO SDK to use while making API calls to the OCI services If you additionally want to set custom leaf/client certs, then you can use the the environment variables OCI_DEFAULT_CLIENT_CERTS_PATH and OCI_DEFAULT_CLIENT_CERTS_PRIVATE_KEY_PATH to set the path of the custom client/leaf cert and the private key respectively. The default refresh interval for custom CA bundle or client certs is 30 minutes. If you want to modify this, then you can configure the refresh interval in minutes by using either the Global property OciGlobalRefreshIntervalForCustomCerts defined in the common package or set the environment variable OCI_DEFAULT_REFRESH_INTERVAL_FOR_CUSTOM_CERTS to set it instead. Please note, that the property OciGlobalRefreshIntervalForCustomCerts has a higher precedence than the environment variable OCI_DEFAULT_REFRESH_INTERVAL_FOR_CUSTOM_CERTS. If this value is negative, then it would be assumed that it is unset. If it is set to 0, then the SDK would disable the custom ca bundle and client cert refresh Got a fix for a bug, or a new feature you'd like to contribute? The SDK is open source and accepting pull requests on GitHub https://github.com/oracle/oci-go-sdk Licensing information available at: https://github.com/oracle/oci-go-sdk/blob/master/LICENSE.txt To be notified when a new version of the Go SDK is released, subscribe to the following feed: https://github.com/oracle/oci-go-sdk/releases.atom Please refer to this link: https://github.com/oracle/oci-go-sdk#help

Package oam provides the API client, operations, and parameter types for CloudWatch Observability Access Manager. Use Amazon CloudWatch Observability Access Manager to create and manage links between source accounts and monitoring accounts by using CloudWatch cross-account observability. With CloudWatch cross-account observability, you can monitor and troubleshoot applications that span multiple accounts within a Region. Seamlessly search, visualize, and analyze your metrics, logs, traces, and Application Insights applications in any of the linked accounts without account boundaries. Set up one or more Amazon Web Services accounts as monitoring accounts and link them with multiple source accounts. A monitoring account is a central Amazon Web Services account that can view and interact with observability data generated from source accounts. A source account is an individual Amazon Web Services account that generates observability data for the resources that reside in it. Source accounts share their observability data with the monitoring account. The shared observability data can include metrics in Amazon CloudWatch, logs in Amazon CloudWatch Logs, traces in X-Ray, and applications in Amazon CloudWatch Application Insights.

Package codestar provides the API client, operations, and parameter types for AWS CodeStar. This is the API reference for AWS CodeStar. This reference provides descriptions of the operations and data types for the AWS CodeStar API along with usage examples. You can use the AWS CodeStar API to work with: Projects and their resources, by calling the following: DeleteProject , which deletes a project. DescribeProject , which lists the attributes of a project. ListProjects , which lists all projects associated with your AWS account. ListResources , which lists the resources associated with a project. ListTagsForProject , which lists the tags associated with a project. TagProject , which adds tags to a project. UntagProject , which removes tags from a project. UpdateProject , which updates the attributes of a project. Teams and team members, by calling the following: AssociateTeamMember , which adds an IAM user to the team for a project. DisassociateTeamMember , which removes an IAM user from the team for a project. ListTeamMembers , which lists all the IAM users in the team for a project, including their roles and attributes. UpdateTeamMember , which updates a team member's attributes in a project. Users, by calling the following: CreateUserProfile , which creates a user profile that contains data associated with the user across all projects. DeleteUserProfile , which deletes all user profile information across all projects. DescribeUserProfile , which describes the profile of a user. ListUserProfiles , which lists all user profiles. UpdateUserProfile , which updates the profile for a user.

Package gofpdf implements a PDF document generator with high level support for text, drawing and images. - UTF-8 support - Choice of measurement unit, page format and margins - Page header and footer management - Automatic page breaks, line breaks, and text justification - Inclusion of JPEG, PNG, GIF, TIFF and basic path-only SVG images - Colors, gradients and alpha channel transparency - Outline bookmarks - Internal and external links - TrueType, Type1 and encoding support - Page compression - Lines, Bézier curves, arcs, and ellipses - Rotation, scaling, skewing, translation, and mirroring - Clipping - Document protection - Layers - Templates - Barcodes - Charting facility - Import PDFs as templates gofpdf has no dependencies other than the Go standard library. All tests pass on Linux, Mac and Windows platforms. gofpdf supports UTF-8 TrueType fonts and “right-to-left” languages. Note that Chinese, Japanese, and Korean characters may not be included in many general purpose fonts. For these languages, a specialized font (for example, NotoSansSC for simplified Chinese) can be used. Also, support is provided to automatically translate UTF-8 runes to code page encodings for languages that have fewer than 256 glyphs. This repository will not be maintained, at least for some unknown duration. But it is hoped that gofpdf has a bright future in the open source world. Due to Go’s promise of compatibility, gofpdf should continue to function without modification for a longer time than would be the case with many other languages. Forks should be based on the last viable commit. Tools such as active-forks can be used to select a fork that looks promising for your needs. If a particular fork looks like it has taken the lead in attracting followers, this README will be updated to point people in that direction. The efforts of all contributors to this project have been deeply appreciated. Best wishes to all of you. To install the package on your system, run Later, to receive updates, run The following Go code generates a simple PDF file. See the functions in the fpdf_test.go file (shown as examples in this documentation) for more advanced PDF examples. If an error occurs in an Fpdf method, an internal error field is set. After this occurs, Fpdf method calls typically return without performing any operations and the error state is retained. This error management scheme facilitates PDF generation since individual method calls do not need to be examined for failure; it is generally sufficient to wait until after Output() is called. For the same reason, if an error occurs in the calling application during PDF generation, it may be desirable for the application to transfer the error to the Fpdf instance by calling the SetError() method or the SetErrorf() method. At any time during the life cycle of the Fpdf instance, the error state can be determined with a call to Ok() or Err(). The error itself can be retrieved with a call to Error(). This package is a relatively straightforward translation from the original FPDF library written in PHP (despite the caveat in the introduction to Effective Go). The API names have been retained even though the Go idiom would suggest otherwise (for example, pdf.GetX() is used rather than simply pdf.X()). The similarity of the two libraries makes the original FPDF website a good source of information. It includes a forum and FAQ. However, some internal changes have been made. Page content is built up using buffers (of type bytes.Buffer) rather than repeated string concatenation. Errors are handled as explained above rather than panicking. Output is generated through an interface of type io.Writer or io.WriteCloser. A number of the original PHP methods behave differently based on the type of the arguments that are passed to them; in these cases additional methods have been exported to provide similar functionality. Font definition files are produced in JSON rather than PHP. A side effect of running go test ./... is the production of a number of example PDFs. These can be found in the gofpdf/pdf directory after the tests complete. Please note that these examples run in the context of a test. In order run an example as a standalone application, you’ll need to examine fpdf_test.go for some helper routines, for example exampleFilename() and summary(). Example PDFs can be compared with reference copies in order to verify that they have been generated as expected. This comparison will be performed if a PDF with the same name as the example PDF is placed in the gofpdf/pdf/reference directory and if the third argument to ComparePDFFiles() in internal/example/example.go is true. (By default it is false.) The routine that summarizes an example will look for this file and, if found, will call ComparePDFFiles() to check the example PDF for equality with its reference PDF. If differences exist between the two files they will be printed to standard output and the test will fail. If the reference file is missing, the comparison is considered to succeed. In order to successfully compare two PDFs, the placement of internal resources must be consistent and the internal creation timestamps must be the same. To do this, the methods SetCatalogSort() and SetCreationDate() need to be called for both files. This is done automatically for all examples. Nothing special is required to use the standard PDF fonts (courier, helvetica, times, zapfdingbats) in your documents other than calling SetFont(). You should use AddUTF8Font() or AddUTF8FontFromBytes() to add a TrueType UTF-8 encoded font. Use RTL() and LTR() methods switch between “right-to-left” and “left-to-right” mode. In order to use a different non-UTF-8 TrueType or Type1 font, you will need to generate a font definition file and, if the font will be embedded into PDFs, a compressed version of the font file. This is done by calling the MakeFont function or using the included makefont command line utility. To create the utility, cd into the makefont subdirectory and run “go build”. This will produce a standalone executable named makefont. Select the appropriate encoding file from the font subdirectory and run the command as in the following example. In your PDF generation code, call AddFont() to load the font and, as with the standard fonts, SetFont() to begin using it. Most examples, including the package example, demonstrate this method. Good sources of free, open-source fonts include Google Fonts and DejaVu Fonts. The draw2d package is a two dimensional vector graphics library that can generate output in different forms. It uses gofpdf for its document production mode. gofpdf is a global community effort and you are invited to make it even better. If you have implemented a new feature or corrected a problem, please consider contributing your change to the project. A contribution that does not directly pertain to the core functionality of gofpdf should be placed in its own directory directly beneath the contrib directory. Here are guidelines for making submissions. Your change should - be compatible with the MIT License - be properly documented - be formatted with go fmt - include an example in fpdf_test.go if appropriate - conform to the standards of golint and go vet, that is, golint . and go vet . should not generate any warnings - not diminish test coverage Pull requests are the preferred means of accepting your changes. gofpdf is released under the MIT License. It is copyrighted by Kurt Jung and the contributors acknowledged below. This package’s code and documentation are closely derived from the FPDF library created by Olivier Plathey, and a number of font and image resources are copied directly from it. Bruno Michel has provided valuable assistance with the code. Drawing support is adapted from the FPDF geometric figures script by David Hernández Sanz. Transparency support is adapted from the FPDF transparency script by Martin Hall-May. Support for gradients and clipping is adapted from FPDF scripts by Andreas Würmser. Support for outline bookmarks is adapted from Olivier Plathey by Manuel Cornes. Layer support is adapted from Olivier Plathey. Support for transformations is adapted from the FPDF transformation script by Moritz Wagner and Andreas Würmser. PDF protection is adapted from the work of Klemen Vodopivec for the FPDF product. Lawrence Kesteloot provided code to allow an image’s extent to be determined prior to placement. Support for vertical alignment within a cell was provided by Stefan Schroeder. Ivan Daniluk generalized the font and image loading code to use the Reader interface while maintaining backward compatibility. Anthony Starks provided code for the Polygon function. Robert Lillack provided the Beziergon function and corrected some naming issues with the internal curve function. Claudio Felber provided implementations for dashed line drawing and generalized font loading. Stani Michiels provided support for multi-segment path drawing with smooth line joins, line join styles, enhanced fill modes, and has helped greatly with package presentation and tests. Templating is adapted by Marcus Downing from the FPDF_Tpl library created by Jan Slabon and Setasign. Jelmer Snoeck contributed packages that generate a variety of barcodes and help with registering images on the web. Jelmer Snoek and Guillermo Pascual augmented the basic HTML functionality with aligned text. Kent Quirk implemented backwards-compatible support for reading DPI from images that support it, and for setting DPI manually and then having it properly taken into account when calculating image size. Paulo Coutinho provided support for static embedded fonts. Dan Meyers added support for embedded JavaScript. David Fish added a generic alias-replacement function to enable, among other things, table of contents functionality. Andy Bakun identified and corrected a problem in which the internal catalogs were not sorted stably. Paul Montag added encoding and decoding functionality for templates, including images that are embedded in templates; this allows templates to be stored independently of gofpdf. Paul also added support for page boxes used in printing PDF documents. Wojciech Matusiak added supported for word spacing. Artem Korotkiy added support of UTF-8 fonts. Dave Barnes added support for imported objects and templates. Brigham Thompson added support for rounded rectangles. Joe Westcott added underline functionality and optimized image storage. Benoit KUGLER contributed support for rectangles with corners of unequal radius, modification times, and for file attachments and annotations. - Remove all legacy code page font support; use UTF-8 exclusively - Improve test coverage as reported by the coverage tool. Example demonstrates the generation of a simple PDF document. Note that since only core fonts are used (in this case Arial, a synonym for Helvetica), an empty string can be specified for the font directory in the call to New(). Note also that the example.Filename() and example.Summary() functions belong to a separate, internal package and are not part of the gofpdf library. If an error occurs at some point during the construction of the document, subsequent method calls exit immediately and the error is finally retrieved with the output call where it can be handled by the application.

Package pusher is the Golang library for interacting with the Pusher HTTP API. This package lets you trigger events to your client and query the state of your Pusher channels. When used with a server, you can validate Pusher webhooks and authenticate private- or presence-channels. In order to use this library, you need to have a free account on http://pusher.com. After registering, you will need the application credentials for your app. To create a new client, pass in your application credentials to a `pusher.Client` struct: To start triggering events on a channel, we call `pusherClient.Trigger`: Read on to see what more you can do with this library, such as authenticating private- and presence-channels, validating Pusher webhooks, and querying the HTTP API to get information about your channels. Author: Jamie Patel, Pusher

Package rollbar is a Golang Rollbar client that makes it easy to report errors to Rollbar with full stacktraces. This package is designed to be used via the functions exposed at the root of the `rollbar` package. These work by managing a single instance of the `Client` type that is configurable via the setter functions at the root of the package. If you wish for more fine grained control over the client or you wish to have multiple independent clients then you can create and manage your own instances of the `Client` type. We provide two implementations of the `Transport` interface, `AsyncTransport` and `SyncTransport`. These manage the communication with the network layer. The Async version uses a buffered channel to communicate with the Rollbar API in a separate go routine. The Sync version is fully synchronous. It is possible to create your own `Transport` and configure a Client to use your preferred implementation. Go does not provide a mechanism for handling all panics automatically, therefore we provide two functions `Wrap` and `WrapAndWait` to make working with panics easier. They both take a function with arguments and then report to Rollbar if that function panics. They use the recover mechanism to capture the panic, and therefore if you wish your process to have the normal behaviour on panic (i.e. to crash), you will need to re-panic the result of calling `Wrap`. For example, The above pattern of calling `Wrap(...)` and then `Wait(...)` can be combined via `WrapAndWait(...)`. When `WrapAndWait(...)` returns if there was a panic it has already been sent to the Rollbar API. The error is still returned by this function if there is one. `Wrap` and `WrapAndWait` will accept functions with any number and type of arguments and return values. However, they do not return the function's return value, instead returning the error value. To add Rollbar panic handling to a function while preserving access to the function's return values, we provide the `LogPanic` helper designed to be used inside your deferred function. This offers virtually the same functionality as `Wrap` and `WrapAndWait` while preserving access to the function return values. Due to the nature of the `error` type in Go, it can be difficult to attribute errors to their original origin without doing some extra work. To account for this, we provide multiple ways of configuring the client to unwrap errors and extract stack traces. The client will automatically unwrap any error type which implements the `Unwrap() error` method specified in Go 1.13. (See https://golang.org/pkg/errors/ for details.) This behavior can be extended for other types of errors by calling `SetUnwrapper`. For stack traces, we provide the `Stacker` interface, which can be implemented on custom error types: If you cannot implement the `Stacker` interface on your error type (which is common for third-party error libraries), you can provide a custom tracing function by calling `SetStackTracer`. See the documentation of `SetUnwrapper` and `SetStackTracer` for more information and examples. Finally, users of github.com/pkg/errors can use the utilities provided in the `errors` sub-package.

Package account provides the API client, operations, and parameter types for AWS Account. Operations for Amazon Web Services Account Management

Package securitylake provides the API client, operations, and parameter types for Amazon Security Lake. Amazon Security Lake is a fully managed security data lake service. You can use Security Lake to automatically centralize security data from cloud, on-premises, and custom sources into a data lake that's stored in your Amazon Web Services account. Amazon Web Services Organizations is an account management service that lets you consolidate multiple Amazon Web Services accounts into an organization that you create and centrally manage. With Organizations, you can create member accounts and invite existing accounts to join your organization. Security Lake helps you analyze security data for a more complete understanding of your security posture across the entire organization. It can also help you improve the protection of your workloads, applications, and data. The data lake is backed by Amazon Simple Storage Service (Amazon S3) buckets, and you retain ownership over your data. Amazon Security Lake integrates with CloudTrail, a service that provides a record of actions taken by a user, role, or an Amazon Web Services service. In Security Lake, CloudTrail captures API calls for Security Lake as events. The calls captured include calls from the Security Lake console and code calls to the Security Lake API operations. If you create a trail, you can enable continuous delivery of CloudTrail events to an Amazon S3 bucket, including events for Security Lake. If you don't configure a trail, you can still view the most recent events in the CloudTrail console in Event history. Using the information collected by CloudTrail you can determine the request that was made to Security Lake, the IP address from which the request was made, who made the request, when it was made, and additional details. To learn more about Security Lake information in CloudTrail, see the Amazon Security Lake User Guide. Security Lake automates the collection of security-related log and event data from integrated Amazon Web Services and third-party services. It also helps you manage the lifecycle of data with customizable retention and replication settings. Security Lake converts ingested data into Apache Parquet format and a standard open-source schema called the Open Cybersecurity Schema Framework (OCSF). Other Amazon Web Services and third-party services can subscribe to the data that's stored in Security Lake for incident response and security data analytics.

Package etherscan provides Go bindings to the Etherscan.io API. This work is a nearly Full implementation (accounts, transactions, tokens, contracts, blocks, stats), with full network support(Mainnet, Ropsten, Kovan, Rinkby, Tobalaba), and only depending on standard library. Example can be found at https://github.com/nanmu42/etherscan-api

Package fpdf implements a PDF document generator with high level support for text, drawing and images. - UTF-8 support - Choice of measurement unit, page format and margins - Page header and footer management - Automatic page breaks, line breaks, and text justification - Inclusion of JPEG, PNG, GIF, TIFF and basic path-only SVG images - Colors, gradients and alpha channel transparency - Outline bookmarks - Internal and external links - TrueType, Type1 and encoding support - Page compression - Lines, Bézier curves, arcs, and ellipses - Rotation, scaling, skewing, translation, and mirroring - Clipping - Document protection - Layers - Templates - Barcodes - Charting facility - Import PDFs as templates go-pdf/fpdf has no dependencies other than the Go standard library. All tests pass on Linux, Mac and Windows platforms. go-pdf/fpdf supports UTF-8 TrueType fonts and “right-to-left” languages. Note that Chinese, Japanese, and Korean characters may not be included in many general purpose fonts. For these languages, a specialized font (for example, NotoSansSC for simplified Chinese) can be used. Also, support is provided to automatically translate UTF-8 runes to code page encodings for languages that have fewer than 256 glyphs. To install the package on your system, run Later, to receive updates, run The following Go code generates a simple PDF file. See the functions in the fpdf_test.go file (shown as examples in this documentation) for more advanced PDF examples. If an error occurs in an Fpdf method, an internal error field is set. After this occurs, Fpdf method calls typically return without performing any operations and the error state is retained. This error management scheme facilitates PDF generation since individual method calls do not need to be examined for failure; it is generally sufficient to wait until after Output() is called. For the same reason, if an error occurs in the calling application during PDF generation, it may be desirable for the application to transfer the error to the Fpdf instance by calling the SetError() method or the SetErrorf() method. At any time during the life cycle of the Fpdf instance, the error state can be determined with a call to Ok() or Err(). The error itself can be retrieved with a call to Error(). This package is a relatively straightforward translation from the original FPDF library written in PHP (despite the caveat in the introduction to Effective Go). The API names have been retained even though the Go idiom would suggest otherwise (for example, pdf.GetX() is used rather than simply pdf.X()). The similarity of the two libraries makes the original FPDF website a good source of information. It includes a forum and FAQ. However, some internal changes have been made. Page content is built up using buffers (of type bytes.Buffer) rather than repeated string concatenation. Errors are handled as explained above rather than panicking. Output is generated through an interface of type io.Writer or io.WriteCloser. A number of the original PHP methods behave differently based on the type of the arguments that are passed to them; in these cases additional methods have been exported to provide similar functionality. Font definition files are produced in JSON rather than PHP. A side effect of running go test ./... is the production of a number of example PDFs. These can be found in the go-pdf/fpdf/pdf directory after the tests complete. Please note that these examples run in the context of a test. In order run an example as a standalone application, you’ll need to examine fpdf_test.go for some helper routines, for example exampleFilename() and summary(). Example PDFs can be compared with reference copies in order to verify that they have been generated as expected. This comparison will be performed if a PDF with the same name as the example PDF is placed in the go-pdf/fpdf/pdf/reference directory and if the third argument to ComparePDFFiles() in internal/example/example.go is true. (By default it is false.) The routine that summarizes an example will look for this file and, if found, will call ComparePDFFiles() to check the example PDF for equality with its reference PDF. If differences exist between the two files they will be printed to standard output and the test will fail. If the reference file is missing, the comparison is considered to succeed. In order to successfully compare two PDFs, the placement of internal resources must be consistent and the internal creation timestamps must be the same. To do this, the methods SetCatalogSort() and SetCreationDate() need to be called for both files. This is done automatically for all examples. Nothing special is required to use the standard PDF fonts (courier, helvetica, times, zapfdingbats) in your documents other than calling SetFont(). You should use AddUTF8Font() or AddUTF8FontFromBytes() to add a TrueType UTF-8 encoded font. Use RTL() and LTR() methods switch between “right-to-left” and “left-to-right” mode. In order to use a different non-UTF-8 TrueType or Type1 font, you will need to generate a font definition file and, if the font will be embedded into PDFs, a compressed version of the font file. This is done by calling the MakeFont function or using the included makefont command line utility. To create the utility, cd into the makefont subdirectory and run “go build”. This will produce a standalone executable named makefont. Select the appropriate encoding file from the font subdirectory and run the command as in the following example. In your PDF generation code, call AddFont() to load the font and, as with the standard fonts, SetFont() to begin using it. Most examples, including the package example, demonstrate this method. Good sources of free, open-source fonts include Google Fonts and DejaVu Fonts. The draw2d package is a two dimensional vector graphics library that can generate output in different forms. It uses gofpdf for its document production mode. gofpdf is a global community effort and you are invited to make it even better. If you have implemented a new feature or corrected a problem, please consider contributing your change to the project. A contribution that does not directly pertain to the core functionality of gofpdf should be placed in its own directory directly beneath the contrib directory. Here are guidelines for making submissions. Your change should - be compatible with the MIT License - be properly documented - be formatted with go fmt - include an example in fpdf_test.go if appropriate - conform to the standards of golint and go vet, that is, golint . and go vet . should not generate any warnings - not diminish test coverage Pull requests are the preferred means of accepting your changes. gofpdf is released under the MIT License. It is copyrighted by Kurt Jung and the contributors acknowledged below. This package’s code and documentation are closely derived from the FPDF library created by Olivier Plathey, and a number of font and image resources are copied directly from it. Bruno Michel has provided valuable assistance with the code. Drawing support is adapted from the FPDF geometric figures script by David Hernández Sanz. Transparency support is adapted from the FPDF transparency script by Martin Hall-May. Support for gradients and clipping is adapted from FPDF scripts by Andreas Würmser. Support for outline bookmarks is adapted from Olivier Plathey by Manuel Cornes. Layer support is adapted from Olivier Plathey. Support for transformations is adapted from the FPDF transformation script by Moritz Wagner and Andreas Würmser. PDF protection is adapted from the work of Klemen Vodopivec for the FPDF product. Lawrence Kesteloot provided code to allow an image’s extent to be determined prior to placement. Support for vertical alignment within a cell was provided by Stefan Schroeder. Ivan Daniluk generalized the font and image loading code to use the Reader interface while maintaining backward compatibility. Anthony Starks provided code for the Polygon function. Robert Lillack provided the Beziergon function and corrected some naming issues with the internal curve function. Claudio Felber provided implementations for dashed line drawing and generalized font loading. Stani Michiels provided support for multi-segment path drawing with smooth line joins, line join styles, enhanced fill modes, and has helped greatly with package presentation and tests. Templating is adapted by Marcus Downing from the FPDF_Tpl library created by Jan Slabon and Setasign. Jelmer Snoeck contributed packages that generate a variety of barcodes and help with registering images on the web. Jelmer Snoek and Guillermo Pascual augmented the basic HTML functionality with aligned text. Kent Quirk implemented backwards-compatible support for reading DPI from images that support it, and for setting DPI manually and then having it properly taken into account when calculating image size. Paulo Coutinho provided support for static embedded fonts. Dan Meyers added support for embedded JavaScript. David Fish added a generic alias-replacement function to enable, among other things, table of contents functionality. Andy Bakun identified and corrected a problem in which the internal catalogs were not sorted stably. Paul Montag added encoding and decoding functionality for templates, including images that are embedded in templates; this allows templates to be stored independently of gofpdf. Paul also added support for page boxes used in printing PDF documents. Wojciech Matusiak added supported for word spacing. Artem Korotkiy added support of UTF-8 fonts. Dave Barnes added support for imported objects and templates. Brigham Thompson added support for rounded rectangles. Joe Westcott added underline functionality and optimized image storage. Benoit KUGLER contributed support for rectangles with corners of unequal radius, modification times, and for file attachments and annotations. - Remove all legacy code page font support; use UTF-8 exclusively - Improve test coverage as reported by the coverage tool. Example demonstrates the generation of a simple PDF document. Note that since only core fonts are used (in this case Arial, a synonym for Helvetica), an empty string can be specified for the font directory in the call to New(). Note also that the example.Filename() and example.SummaryCompare() functions belong to a separate, internal package and are not part of the gofpdf library. If an error occurs at some point during the construction of the document, subsequent method calls exit immediately and the error is finally retrieved with the output call where it can be handled by the application.

Package uplink is the main entrypoint to interacting with Storj Labs' decentralized storage network. Sign up for an account on a Satellite today! https://storj.io/ The fundamental unit of access in the Storj Labs storage network is the Access Grant. An access grant is a serialized structure that is internally comprised of an API Key, a set of encryption key information, and information about which Storj Labs or Tardigrade network Satellite is responsible for the metadata. An access grant is always associated with exactly one Project on one Satellite. If you don't already have an access grant, you will need make an account on a Satellite, generate an API Key, and encapsulate that API Key with encryption information into an access grant. If you don't already have an account on a Satellite, first make one at https://storj.io/ and note the Satellite you choose (such as us1.storj.io, eu1.storj.io, etc). Then, make an API Key in the web interface. The first step to any project is to generate a restricted access grant with the minimal permissions that are needed. Access grants contains all encryption information and they should be restricted as much as possible. To make an access grant, you can create one using our Uplink CLI tool's 'share' subcommand (after setting up the Uplink CLI tool), or you can make one as follows: In the above example, 'serializedAccess' is a human-readable string that represents read-only access to just the "logs" bucket, and is only able to decrypt that one bucket thanks to hierarchical deterministic key derivation. Note: RequestAccessWithPassphrase is CPU-intensive, and your application's normal lifecycle should avoid it and use ParseAccess where possible instead. To revoke an access grant see the Project.RevokeAccess method. A common architecture for building applications is to have a single bucket for the entire application to store the objects of all users. In such architecture, it is of utmost importance to guarantee that users can access only their objects but not the objects of other users. This can be achieved by implementing an app-specific authentication service that generates an access grant for each user by restricting the main access grant of the application. This user-specific access grant is restricted to access the objects only within a specific key prefix defined for the user. When initialized, the authentication server creates the main application access grant with an empty passphrase as follows. The authentication service does not hold any encryption information about users, so the passphrase used to request the main application access grant does not matter. The encryption keys related to user objects will be overridden in a next step on the client-side. It is important that once set to a specific value, this passphrase never changes in the future. Therefore, the best practice is to use an empty passphrase. Whenever a user is authenticated, the authentication service generates the user-specific access grant as follows: The userID is something that uniquely identifies the users in the application and must never change. Along with the user access grant, the authentication service should return a user-specific salt. The salt must be always the same for this user. The salt size is 16-byte or 32-byte. Once the application receives the user-specific access grant and the user-specific salt from the authentication service, it has to override the encryption key in the access grant, so users can encrypt and decrypt their files with encryption keys derived from their passphrase. The user-specific access grant is now ready to use by the application. Once you have a valid access grant, you can open a Project with the access that access grant allows for. Projects allow you to manage buckets and objects within buckets. A bucket represents a collection of objects. You can upload, download, list, and delete objects of any size or shape. Objects within buckets are represented by keys, where keys can optionally be listed using the "/" delimiter. Note: Objects and object keys within buckets are end-to-end encrypted, but bucket names themselves are not encrypted, so the billing interface on the Satellite can show you bucket line items. Objects support a couple kilobytes of arbitrary key/value metadata, and arbitrary-size primary data streams with the ability to read at arbitrary offsets. If you want to access only a small subrange of the data you uploaded, you can use `uplink.DownloadOptions` to specify the download range. Listing objects returns an iterator that allows to walk through all the items:

Package rbin provides the API client, operations, and parameter types for Amazon Recycle Bin. This is the Recycle Bin API Reference. This documentation provides descriptions and syntax for each of the actions and data types in Recycle Bin. Recycle Bin is a resource recovery feature that enables you to restore accidentally deleted snapshots and EBS-backed AMIs. When using Recycle Bin, if your resources are deleted, they are retained in the Recycle Bin for a time period that you specify. You can restore a resource from the Recycle Bin at any time before its retention period expires. After you restore a resource from the Recycle Bin, the resource is removed from the Recycle Bin, and you can then use it in the same way you use any other resource of that type in your account. If the retention period expires and the resource is not restored, the resource is permanently deleted from the Recycle Bin and is no longer available for recovery. For more information about Recycle Bin, see Recycle Binin the Amazon Elastic Compute Cloud User Guide.

<h1 align="center">IrisAdmin</h1> [](https://app.travis-ci.com/snowlyg/iris-admin) [](https://github.com/snowlyg/iris-admin/blob/master/LICENSE) [](https://godoc.org/github.com/snowlyg/iris-admin) [](https://goreportcard.com/badge/github.com/snowlyg/iris-admin) [](https://codecov.io/gh/snowlyg/iris-admin) [简体中文](./README.md) | English #### Project url [GITHUB](https://github.com/snowlyg/iris-admin) | [GITEE](https://gitee.com/snowlyg/iris-admin) **** > This project just for learning golang, welcome to give your suggestions! #### Documentation - [IRIS-ADMIN-DOC](https://doc.snowlyg.com) - [IRIS V12 document for chinese](https://github.com/snowlyg/iris/wiki) - [godoc](https://pkg.go.dev/github.com/snowlyg/iris-admin?utm_source=godoc) [](https://gitter.im/iris-go-tenancy/community?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge) [](https://gitter.im/iris-go-tenancy/iris-admin?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=badge) #### BLOG - [REST API with iris-go web framework](https://blog.snowlyg.com/iris-go-api-1/) - [How to user iris-go with casbin](https://blog.snowlyg.com/iris-go-api-2/) --- #### Getting started - Get master package , Notice must use `master` version. ```sh ``` #### Program introduction ##### The project consists of multiple plugins, each with different functions - [viper_server] ```go package cache import ( ) var CONFIG Redis // getViperConfig get initialize config db: ` + db + ` addr: "` + CONFIG.Addr + `" password: "` + CONFIG.Password + `" pool-size: ` + poolSize), ``` - [zap_server] ```go ``` - [database] ```go ``` - [casbin] ```go ``` - [cache] ```go ``` - [operation] - [cron_server] ```go ``` - [web] - ```go // WebFunc web framework // - GetTestClient test client // - GetTestLogin test for login // - AddWebStatic add web static path // - AddUploadStatic add upload static path // - Run start ``` - [mongodb] #### Initialize database ##### Simple - Use gorm's `AutoMigrate()` function to auto migrate database. ```go package main import ( ) ``` ##### Custom migrate tools - Use `gormigrate` third party package. Tt's helpful for database migrate and program development. - Detail is see [iris-admin-cmd](https://github.com/snowlyg/iris-admin-example/blob/main/iris/cmd/main.go). --- - Add main.go file. ```go package main import ( ) ``` #### Run project - When you first run this cmd `go run main.go` , you can see some config files in the `config` directory, - and `rbac_model.conf` will be created in your project root directory. ```sh go run main.go ``` #### Module - You can use [iris-admin-rbac](https://github.com/snowlyg/iris-admin-rbac) package to add rbac function for your project quickly. - Your can use AddModule() to add other modules . ```go package main import ( ) ``` #### Default static file path - A static file access path has been built in by default - Static files will upload to `/static/upload` directory. - You can set this config key `static-path` to change the default directory. ```yaml system: ``` #### Use with front-end framework , e.g. vue - Default,you must build vue to the `dist` directory. - Naturally you can set this config key `web-path` to change the default directory. ```go package main import ( ) ``` #### Example - [iris](https://github.com/snowlyg/iris-admin-example/tree/main/iris) - [gin](https://github.com/snowlyg/iris-admin-example/tree/main/gin) #### RBAC - [iris-admin-rbac](https://github.com/snowlyg/iris-admin-rbac) #### Unit test and documentation - Before start unit tests, you need to set two system environment variables `mysqlPwd` and `mysqlAddr`,that will be used when running the test instance。 - helper/tests(https://github.com/snowlyg/helper/tree/main/tests) package the unit test used, it's simple package base on httpexpect/v2(https://github.com/gavv/httpexpect). - [example for unit test](https://github.com/snowlyg/iris-admin-rbac/tree/main/iris/perm/tests) - [example for unit test](https://github.com/snowlyg/iris-admin-rbac/tree/main/gin/authority/test) Before create a http api unit test , you need create a base test file named `main_test.go` , this file have some unit test step ： ***Suggest use docker mysql, otherwise if the test fails, there will be a lot of test data left behind*** - 1.create database before test start and delete database when test finish. - 2.create tables and seed test data at once time. - 3.`PartyFunc` and `SeedFunc` use to custom someting for your test model. 内容如下所示: ***main_test.go*** ```go package test import ( ) var TestServer *web_gin.WebServer var TestClient *httptest.Client ``` ***index_test.go*** ```go package test import ( ) var ( ) ``` ## 🔋 JetBrains OS licenses <a href="https://www.jetbrains.com/?from=iris-admin" target="_blank"><img src="https://raw.githubusercontent.com/panjf2000/illustrations/master/jetbrains/jetbrains-variant-4.png" width="230" align="middle"/></a> ## ☕️ Buy me a coffee > Please be sure to leave your name, GitHub account or other social media accounts when you donate by the following means so that I can add it to the list of donors as a token of my appreciation. - [为爱发电](https://afdian.net/@snowlyg/plan) - [donating](https://paypal.me/snowlyg?country.x=C2&locale.x=zh_XC)

Package networkmanager provides the API client, operations, and parameter types for AWS Network Manager. Amazon Web Services enables you to centrally manage your Amazon Web Services Cloud WAN core network and your Transit Gateway network across Amazon Web Services accounts, Regions, and on-premises locations.

Package chime provides the API client, operations, and parameter types for Amazon Chime. recommend using the latest versions in the Amazon Chime SDK API reference, in the Amazon Chime SDK. Using the latest versions requires migrating to dedicated namespaces. For more information, refer to Migrating from the Amazon Chime namespacein the Amazon Chime SDK Developer Guide. The Amazon Chime application programming interface (API) is designed so administrators can perform key tasks, such as creating and managing Amazon Chime accounts, users, and Voice Connectors. This guide provides detailed information about the Amazon Chime API, including operations, types, inputs and outputs, and error codes. You can use an AWS SDK, the AWS Command Line Interface (AWS CLI), or the REST API to make API calls for Amazon Chime. We recommend using an AWS SDK or the AWS CLI. The page for each API action contains a See Also section that includes links to information about using the action with a language-specific AWS SDK or the AWS CLI. Using an AWS SDK You don't need to write code to calculate a signature for request authentication. The SDK clients authenticate your requests by using access keys that you provide. For more information about AWS SDKs, see the AWS Developer Center. Using the AWS CLI Use your access keys with the AWS CLI to make API calls. For information about setting up the AWS CLI, see Installing the AWS Command Line Interfacein the AWS Command Line Interface User Guide. For a list of available Amazon Chime commands, see the Amazon Chime commandsin the AWS CLI Command Reference. Using REST APIs If you use REST to make API calls, you must authenticate your request by providing a signature. Amazon Chime supports Signature Version 4. For more information, see Signature Version 4 Signing Processin the Amazon Web Services General Reference. When making REST API calls, use the service name chime and REST endpoint https://service.chime.aws.amazon.com . Administrative permissions are controlled using AWS Identity and Access Management (IAM). For more information, see Identity and Access Management for Amazon Chimein the Amazon Chime Administration Guide.

Package pusher is the Golang library for interacting with the Pusher HTTP API. This package lets you trigger events to your client and query the state of your Pusher channels. When used with a server, you can validate Pusher webhooks and authenticate private- or presence-channels. In order to use this library, you need to have a free account on http://pusher.com. After registering, you will need the application credentials for your app. To create a new client, pass in your application credentials to a `pusher.Client` struct: To start triggering events on a channel, we call `pusherClient.Trigger`: Read on to see what more you can do with this library, such as authenticating private- and presence-channels, validating Pusher webhooks, and querying the HTTP API to get information about your channels. Author: Jamie Patel, Pusher