Search API

Package osdb is an API client for opensubtitles.org This is a client for the OSDb protocol. Currently the package only allows movie identification, subtitles search, and download.

Package enmime implements a MIME encoding and decoding library. It's built on top of Go's included mime/multipart support where possible, but is geared towards parsing MIME encoded emails. The enmime API has two conceptual layers. The lower layer is a tree of Part structs, representing each component of a decoded MIME message. The upper layer, called an Envelope provides an intuitive way to interact with a MIME message. Calling ReadParts causes enmime to parse the body of a MIME message into a tree of Part objects, each of which is aware of its content type, filename and headers. The content of a Part is available as a slice of bytes via the Content field. If the part was encoded in quoted-printable or base64, it is decoded prior to being placed in Content. If the Part contains text in a character set other than utf-8, enmime will attempt to convert it to utf-8. To locate a particular Part, pass a custom PartMatcher function into the BreadthMatchFirst() or DepthMatchFirst() methods to search the Part tree. BreadthMatchAll() and DepthMatchAll() will collect all Parts matching your criteria. ReadEnvelope returns an Envelope struct. Behind the scenes a Part tree is constructed, and then sorted into the correct fields of the Envelope. The Envelope contains both the plain text and HTML portions of the email. If there was no plain text Part available, the HTML Part will be down-converted using the html2text library1. The root of the Part tree, as well as slices of the inline and attachment Parts are also available. Every MIME Part has its own headers, accessible via the Part.Header field. The raw headers for an Envelope are available in Root.Header. Envelope also provides helper methods to fetch headers: GetHeader(key) will return the RFC 2047 decoded value of the specified header. AddressList(key) will convert the specified address header into a slice of net/mail.Address values. enmime attempts to be tolerant of poorly encoded MIME messages. In situations where parsing is not possible, the ReadEnvelope and ReadParts functions will return a hard error. If enmime is able to continue parsing the message, it will add an entry to the Errors slice on the relevant Part. After parsing is complete, all Part errors will be appended to the Envelope Errors slice. The Error* constants can be used to identify a specific class of error. Please note that enmime parses messages into memory, so it is not likely to perform well with multi-gigabyte attachments. enmime is open source software released under the MIT License. The latest version can be found at https://github.com/jhillyerd/enmime

Package enmime implements a MIME encoding and decoding library. It's built on top of Go's included mime/multipart support where possible, but is geared towards parsing MIME encoded emails. The enmime API has two conceptual layers. The lower layer is a tree of Part structs, representing each component of a decoded MIME message. The upper layer, called an Envelope provides an intuitive way to interact with a MIME message. Calling ReadParts causes enmime to parse the body of a MIME message into a tree of Part objects, each of which is aware of its content type, filename and headers. The content of a Part is available as a slice of bytes via the Content field. If the part was encoded in quoted-printable or base64, it is decoded prior to being placed in Content. If the Part contains text in a character set other than utf-8, enmime will attempt to convert it to utf-8. To locate a particular Part, pass a custom PartMatcher function into the BreadthMatchFirst() or DepthMatchFirst() methods to search the Part tree. BreadthMatchAll() and DepthMatchAll() will collect all Parts matching your criteria. ReadEnvelope returns an Envelope struct. Behind the scenes a Part tree is constructed, and then sorted into the correct fields of the Envelope. The Envelope contains both the plain text and HTML portions of the email. If there was no plain text Part available, the HTML Part will be down-converted using the html2text library1. The root of the Part tree, as well as slices of the inline and attachment Parts are also available. Every MIME Part has its own headers, accessible via the Part.Header field. The raw headers for an Envelope are available in Root.Header. Envelope also provides helper methods to fetch headers: GetHeader(key) will return the RFC 2047 decoded value of the specified header. AddressList(key) will convert the specified address header into a slice of net/mail.Address values. enmime attempts to be tolerant of poorly encoded MIME messages. In situations where parsing is not possible, the ReadEnvelope and ReadParts functions will return a hard error. If enmime is able to continue parsing the message, it will add an entry to the Errors slice on the relevant Part. After parsing is complete, all Part errors will be appended to the Envelope Errors slice. The Error* constants can be used to identify a specific class of error. Please note that enmime parses messages into memory, so it is not likely to perform well with multi-gigabyte attachments. enmime is open source software released under the MIT License. The latest version can be found at https://github.com/jhillyerd/enmime

Package freegeoip provides an API for searching the geolocation of IP addresses. It uses a database that can be either a local file or a remote resource from a URL. Local databases are monitored by fsnotify and reloaded when the file is either updated or overwritten. Remote databases are automatically downloaded and updated in background so you can focus on using the API and not managing the database.

Package pipl provides a way to interact programmatically with the PIPL API in Golang. For more detailed information on the PIPL search API and what we're actually wrapping, check out their official API reference: https://docs.pipl.com/reference/#overview

Package scrape provides a searching api on top of golang.org/x/net/html

* Weather API * * # Introduction WeatherAPI.com provides access to weather and geo data via a JSON/XML restful API. It allows developers to create desktop, web and mobile applications using this data very easy. We provide following data through our API: - Real-time weather - 14 day weather forecast - Astronomy - Time zone - Location data - Search or Autocomplete API - NEW: Historical weather - NEW: Future Weather (Upto 300 days ahead) - Weather Alerts - Air Quality Data # Getting Started You need to [signup](https://www.weatherapi.com/signup.aspx) and then you can find your API key under [your account](https://www.weatherapi.com/login.aspx), and start using API right away! We have [code libraries](https://www.weatherapi.com/docs/code-libraries.aspx) for different programming languages like PHP, .net, JAVA, etc. If you find any features missing or have any suggestions, please [contact us](https://www.weatherapi.com/contact.aspx). # Authentication API access to the data is protected by an API key. If at anytime, you find the API key has become vulnerable, please regenerate the key using Regenerate button next to the API key. Authentication to the WeatherAPI.com API is provided by passing your API key as request parameter through an API . ## key parameter key=<YOUR API KEY> * * API version: 1.0.0-oas3 * Generated by: Swagger Codegen (https://github.com/swagger-api/swagger-codegen.git) * Weather API * * # Introduction WeatherAPI.com provides access to weather and geo data via a JSON/XML restful API. It allows developers to create desktop, web and mobile applications using this data very easy. We provide following data through our API: - Real-time weather - 14 day weather forecast - Astronomy - Time zone - Location data - Search or Autocomplete API - NEW: Historical weather - NEW: Future Weather (Upto 300 days ahead) - Weather Alerts - Air Quality Data # Getting Started You need to [signup](https://www.weatherapi.com/signup.aspx) and then you can find your API key under [your account](https://www.weatherapi.com/login.aspx), and start using API right away! We have [code libraries](https://www.weatherapi.com/docs/code-libraries.aspx) for different programming languages like PHP, .net, JAVA, etc. If you find any features missing or have any suggestions, please [contact us](https://www.weatherapi.com/contact.aspx). # Authentication API access to the data is protected by an API key. If at anytime, you find the API key has become vulnerable, please regenerate the key using Regenerate button next to the API key. Authentication to the WeatherAPI.com API is provided by passing your API key as request parameter through an API . ## key parameter key=<YOUR API KEY> * * API version: 1.0.0-oas3 * Generated by: Swagger Codegen (https://github.com/swagger-api/swagger-codegen.git) * Weather API * * # Introduction WeatherAPI.com provides access to weather and geo data via a JSON/XML restful API. It allows developers to create desktop, web and mobile applications using this data very easy. We provide following data through our API: - Real-time weather - 14 day weather forecast - Astronomy - Time zone - Location data - Search or Autocomplete API - NEW: Historical weather - NEW: Future Weather (Upto 300 days ahead) - Weather Alerts - Air Quality Data # Getting Started You need to [signup](https://www.weatherapi.com/signup.aspx) and then you can find your API key under [your account](https://www.weatherapi.com/login.aspx), and start using API right away! We have [code libraries](https://www.weatherapi.com/docs/code-libraries.aspx) for different programming languages like PHP, .net, JAVA, etc. If you find any features missing or have any suggestions, please [contact us](https://www.weatherapi.com/contact.aspx). # Authentication API access to the data is protected by an API key. If at anytime, you find the API key has become vulnerable, please regenerate the key using Regenerate button next to the API key. Authentication to the WeatherAPI.com API is provided by passing your API key as request parameter through an API . ## key parameter key=<YOUR API KEY> * * API version: 1.0.0-oas3 * Generated by: Swagger Codegen (https://github.com/swagger-api/swagger-codegen.git) * Weather API * * # Introduction WeatherAPI.com provides access to weather and geo data via a JSON/XML restful API. It allows developers to create desktop, web and mobile applications using this data very easy. We provide following data through our API: - Real-time weather - 14 day weather forecast - Astronomy - Time zone - Location data - Search or Autocomplete API - NEW: Historical weather - NEW: Future Weather (Upto 300 days ahead) - Weather Alerts - Air Quality Data # Getting Started You need to [signup](https://www.weatherapi.com/signup.aspx) and then you can find your API key under [your account](https://www.weatherapi.com/login.aspx), and start using API right away! We have [code libraries](https://www.weatherapi.com/docs/code-libraries.aspx) for different programming languages like PHP, .net, JAVA, etc. If you find any features missing or have any suggestions, please [contact us](https://www.weatherapi.com/contact.aspx). # Authentication API access to the data is protected by an API key. If at anytime, you find the API key has become vulnerable, please regenerate the key using Regenerate button next to the API key. Authentication to the WeatherAPI.com API is provided by passing your API key as request parameter through an API . ## key parameter key=<YOUR API KEY> * * API version: 1.0.0-oas3 * Generated by: Swagger Codegen (https://github.com/swagger-api/swagger-codegen.git) * Weather API * * # Introduction WeatherAPI.com provides access to weather and geo data via a JSON/XML restful API. It allows developers to create desktop, web and mobile applications using this data very easy. We provide following data through our API: - Real-time weather - 14 day weather forecast - Astronomy - Time zone - Location data - Search or Autocomplete API - NEW: Historical weather - NEW: Future Weather (Upto 300 days ahead) - Weather Alerts - Air Quality Data # Getting Started You need to [signup](https://www.weatherapi.com/signup.aspx) and then you can find your API key under [your account](https://www.weatherapi.com/login.aspx), and start using API right away! We have [code libraries](https://www.weatherapi.com/docs/code-libraries.aspx) for different programming languages like PHP, .net, JAVA, etc. If you find any features missing or have any suggestions, please [contact us](https://www.weatherapi.com/contact.aspx). # Authentication API access to the data is protected by an API key. If at anytime, you find the API key has become vulnerable, please regenerate the key using Regenerate button next to the API key. Authentication to the WeatherAPI.com API is provided by passing your API key as request parameter through an API . ## key parameter key=<YOUR API KEY> * * API version: 1.0.0-oas3 * Generated by: Swagger Codegen (https://github.com/swagger-api/swagger-codegen.git)

Package freegeoip provides an API for searching the geolocation of IP addresses. It uses a database that can be either a local file or a remote resource from a URL. Local databases are monitored by fsnotify and reloaded when the file is either updated or overwritten. Remote databases are automatically downloaded and updated in background so you can focus on using the API and not managing the database.

Package osdb is an API client for opensubtitles.org This is a client for the OSDb protocol. Currently the package only allows movie identification, subtitles search, and download.

Package freegeoip provides an API for searching the geolocation of IP addresses. It uses a database that can be either a local file or a remote resource from a URL. Local databases are monitored by fsnotify and reloaded when the file is either updated or overwritten. Remote databases are automatically downloaded and updated in background so you can focus on using the API and not managing the database. Also, the freegeoip package provides http handlers that any Go http server (net/http) can use. These handlers can process IP geolocation lookup requests and return data in multiple formats like CSV, XML, JSON and JSONP. It has also an API for supporting custom formats.

Package twitter implements a client for the Twitter API v2. This package is in development and is not yet ready for production use. The general structure of an API call is to first construct a query, then invoke that query with a context on a client: Package "types" contains the type and constant definitions for the API. Queries to look up tweets by ID or username, to search recent tweets, and to search or sample streams of tweets are defined in package "tweets". Queries to look up users by ID or user name are defined in package "users". Queries to read or update search rules are defined in package "rules". Queries to create, edit, delete, and show the contents of lists are defined in package "lists".

Package execstub provides stubbing for a usage of a command line api which is based on an executable discovered using the environment <PATH> or some sort of <HOME>+<Bin> configuration. What is a usage of a command line api? Its when you spawn a sub-process using a programming language API. Think go exec.Cmd.Run(..), java Runtime.exec(..), python subprocess.run(..). The sub-process execution will yield an outcome consisting of: side effects (e.g. a file created when executing touch). bytes or string in std-out and/or std-err. an exit code. The executed binary is typically specified using a path like argument. It can be: a absolute path a relative path the name of the binary Discovering the executable How the binary is discovered depends on the art the specified path like argument. The goal of the discovery process is to transform the path like specification into an absolute path, so that if the specification is done with: absolute path nothing is left to be done relative path it will be appended to the current directory to form an absolute path name of the binary a file with that name will be search in the directories specified by the PATH environment variable. The first found will be used. On some platforms known and specified file extensions (e.g. .exe) will be appended to the name during the search. Even when using absolute paths, you may decide to put a customization strategy using some process environment variable. We call this the home-bin-dir strategy. E.g. Java executed base on JAVA_HOME or JRE_HOME with the java executable located at ${JAVA_HOME}/bin/java Stubbing mechanism The aim os stubbing is to replace at execution time the actual executable with a fake one which will yield some kind of pre-defined known outcome. This can be done if there is step in the binary discovery which can be tweaked so that the stud-executable is discovered instead of the actual one. It is the case if binary is specified by name and discovered using PATH or when absolute path is used but with a customization layer in place based on defined environment home variable. The mechanism will just have to mutate the PATH or set the home variable accordingly. Stubbing become complicated if the specification is based on absolute (without customization layer) or relative path because it will require e.g.: a file overley to hide the original executable a change of the current directory an in the flight replacement of the original executable and a rollback. These are either not desirable, or too heavy especially in a unit-test-ish context. The execstub module will therefore only provide stubbing for PATH and Home-Bin-Dir based discovery. Design elements Modeling the command line usage We have basically 3 aspects to model: Starting the process It is modeled using StubRequest which hold the the command name and the execution argument so that the fake execution process can be function of them. Execution The outcome can be a static sum of known in advance stderr, stdout and exit code. This is referred to as static mode. It may also be desirale to have some side effects, e.g.: related to the execution itself like creating a file or related to the unit-test as counting the number of calls In other constellations the outocome may requires some computation to determine stderr/stdout/exicode as function of the request. We refer to these cases as dynamic mode. The execution is therefore modelled as function namely StubFunc. Thus, if required the StubFunc corresponding to the current stubbing will be looked-up and run. Outcome The stderr/stdout/exit-code part of the outcome is modeled as ExecOutcome. The execution the the stubfunc may result however in an error. Such error is not an actual sub-process execution erroneous outcome. It therefore must be modeled separately as opposed to be added to stderr and setting a non-zero exit code. Such and error can be communicated by using the ExecOutcome field InternalErrTxt. Stub-Executable It is the fake executable used to effectuate the overall outcome. It may release the outcome by itself. It may also cooperate with a test helper to achieve the outcome. The following command line is used: /tmp/go-build720053430/b001/xyz.test -test.run=TestHelperProcess -- arg1 arg2 arg3 It is not possible to use the test helper directly because we will need to inject the args test.run and -- at the actual execution call site. Two kinds of stub-executable are provided: bash based, which uses a bash script exec base, which used an go based executable Obviously the go based one is bound to support more platform than the bash based one. Both executable are genric and need context information about the stubbing for which they will be used. This context data is modeled as CmdConfig and saved as file alongside the executable. Inter process communication (IPC) to support dynamic outcomes The invocation of a StubFunc to produce a dynamic outcome is done in the unit test process. There is no means to access the stub function directly from the fake process execution. IPC is used here to allow the fake process to issue a StubRequest and receive an ExecOutcome. The Serialization/Deserialization mechanism needed for IPC must be understood by both parties (mind bash) and satisfy a domain specific requirement of been able to cope with multiline sterr and stdout. We choose a combination of : base64 to encode the discrete data (e.g. stderr, stdout) and comma separated value (easily encoded and decoded in bash) for envelope encoding Named pipes are used for the actual data transport, because they are file based and easily handle in different setups (e.g. in bash). Stubbing Setup An ExecStubber is provided to manage the stubbing setup. Its key feature is to setup an invokation of a StubFunc to replace the execution of a process, See ExecStubber.WhenExecDoStubFunc(...). It allows settings beyond the basic requirement of specifying the executable to be stubbed and a StubFunc replacement. This is modeled using Settings, which provides the following configuration options: Selecting and customizing the discovery mode (PATH vs. Home-Bin-Dir) Selecting the stub executable (Bash vs. Exec(go based)) Selecting the stubbing mode (static vs. dynamic) Specifying the test process helper method name specifying a timeout for a stub sub-process execution A stubbing setup is identified by a key. The key can be use to: unwind the setup(Unregister(..)) access the stubbing data basis of static requests (FindAllPersistedStubRequests, DeleteAllPersistedStubRequests ). Concurrency and parallelism The mutation of the process environment is the key enabling mechanism of Execstub. The process environment must therefore be guarded against issues of concurrency and parallelism. This also mean that is not possible to have a parallel stubbing setup for the same executable within a test process. The outcome will otherwise be non-deterministic because the setting will likely override each other. ExecStubber provides a locking mechanism to realize the serialization of the mutation of environment. For this to work correctly however there must only be one ExecStubber per unit test process. Note that the code under test can still execute its sub-processes concurrently or in parallel. The correctness of the outcome here dependents on the implementation of the StubFunc function being used. Static outcomes without side effect are of course always deterministic.

Package errors provides simple error handling primitives. The traditional error handling idiom in Go is roughly akin to which applied recursively up the call stack results in error reports without context or debugging information. The errors package allows programmers to add context to the failure path in their code in a way that does not destroy the original value of the error. The errors.Annotate function returns a new error that adds context to the original error by recording a stack trace at the point Annotate is called, and the supplied message. For example If additional control is required the errors.AddStack and errors.WithMessage functions destructure errors.Annotate into its component operations of annotating an error with a stack trace and an a message, respectively. Using errors.Annotate constructs a stack of errors, adding context to the preceding error. Depending on the nature of the error it may be necessary to reverse the operation of errors.Annotate to retrieve the original error for inspection. Any error value which implements this interface can be inspected by errors.Cause. errors.Cause will recursively retrieve the topmost error which does not implement causer, which is assumed to be the original cause. For example: causer interface is not exported by this package, but is considered a part of stable public API. errors.Unwrap is also available: this will retrieve the next error in the chain. All error values returned from this package implement fmt.Formatter and can be formatted by the fmt package. The following verbs are supported New, Errorf, Annotate, and Annotatef record a stack trace at the point they are invoked. This information can be retrieved with the StackTracer interface that returns a StackTrace. Where errors.StackTrace is defined as The Frame type represents a call site in the stack trace. Frame supports the fmt.Formatter interface that can be used for printing information about the stack trace of this error. For example: See the documentation for Frame.Format for more details. errors.Find can be used to search for an error in the error chain.

Package enmime implements a MIME encoding and decoding library. It's built on top of Go's included mime/multipart support where possible, but is geared towards parsing MIME encoded emails. The enmime API has two conceptual layers. The lower layer is a tree of Part structs, representing each component of a decoded MIME message. The upper layer, called an Envelope provides an intuitive way to interact with a MIME message. Calling ReadParts causes enmime to parse the body of a MIME message into a tree of Part objects, each of which is aware of its content type, filename and headers. The content of a Part is available as a slice of bytes via the Content field. If the part was encoded in quoted-printable or base64, it is decoded prior to being placed in Content. If the Part contains text in a character set other than utf-8, enmime will attempt to convert it to utf-8. To locate a particular Part, pass a custom PartMatcher function into the BreadthMatchFirst() or DepthMatchFirst() methods to search the Part tree. BreadthMatchAll() and DepthMatchAll() will collect all Parts matching your criteria. ReadEnvelope returns an Envelope struct. Behind the scenes a Part tree is constructed, and then sorted into the correct fields of the Envelope. The Envelope contains both the plain text and HTML portions of the email. If there was no plain text Part available, the HTML Part will be down-converted using the html2text library1. The root of the Part tree, as well as slices of the inline and attachment Parts are also available. Every MIME Part has its own headers, accessible via the Part.Header field. The raw headers for an Envelope are available in Root.Header. Envelope also provides helper methods to fetch headers: GetHeader(key) will return the RFC 2047 decoded value of the specified header. AddressList(key) will convert the specified address header into a slice of net/mail.Address values. enmime attempts to be tolerant of poorly encoded MIME messages. In situations where parsing is not possible, the ReadEnvelope and ReadParts functions will return a hard error. If enmime is able to continue parsing the message, it will add an entry to the Errors slice on the relevant Part. After parsing is complete, all Part errors will be appended to the Envelope Errors slice. The Error* constants can be used to identify a specific class of error. Please note that enmime parses messages into memory, so it is not likely to perform well with multi-gigabyte attachments. enmime is open source software released under the MIT License. The latest version can be found at https://github.com/pacellig/enmime

Package siahe provides a simple API for storing key/value(s) and retrieving the stored values by doing efficient prefix search on the keys.

Package enmime implements a MIME encoding and decoding library. It's built on top of Go's included mime/multipart support where possible, but is geared towards parsing MIME encoded emails. The enmime API has two conceptual layers. The lower layer is a tree of Part structs, representing each component of a decoded MIME message. The upper layer, called an Envelope provides an intuitive way to interact with a MIME message. Calling ReadParts causes enmime to parse the body of a MIME message into a tree of Part objects, each of which is aware of its content type, filename and headers. The content of a Part is available as a slice of bytes via the Content field. If the part was encoded in quoted-printable or base64, it is decoded prior to being placed in Content. If the Part contains text in a character set other than utf-8, enmime will attempt to convert it to utf-8. To locate a particular Part, pass a custom PartMatcher function into the BreadthMatchFirst() or DepthMatchFirst() methods to search the Part tree. BreadthMatchAll() and DepthMatchAll() will collect all Parts matching your criteria. ReadEnvelope returns an Envelope struct. Behind the scenes a Part tree is constructed, and then sorted into the correct fields of the Envelope. The Envelope contains both the plain text and HTML portions of the email. If there was no plain text Part available, the HTML Part will be down-converted using the html2text library1. The root of the Part tree, as well as slices of the inline and attachment Parts are also available. Every MIME Part has its own headers, accessible via the Part.Header field. The raw headers for an Envelope are available in Root.Header. Envelope also provides helper methods to fetch headers: GetHeader(key) will return the RFC 2047 decoded value of the specified header. AddressList(key) will convert the specified address header into a slice of net/mail.Address values. enmime attempts to be tolerant of poorly encoded MIME messages. In situations where parsing is not possible, the ReadEnvelope and ReadParts functions will return a hard error. If enmime is able to continue parsing the message, it will add an entry to the Errors slice on the relevant Part. After parsing is complete, all Part errors will be appended to the Envelope Errors slice. The Error* constants can be used to identify a specific class of error. Please note that enmime parses messages into memory, so it is not likely to perform well with multi-gigabyte attachments. enmime is open source software released under the MIT License. The latest version can be found at https://github.com/jhillyerd/enmime

Package errors provides simple error handling primitives. The traditional error handling idiom in Go is roughly akin to which applied recursively up the call stack results in error reports without context or debugging information. The errors package allows programmers to add context to the failure path in their code in a way that does not destroy the original value of the error. The errors.Annotate function returns a new error that adds context to the original error by recording a stack trace at the point Annotate is called, and the supplied message. For example If additional control is required the errors.AddStack and errors.WithMessage functions destructure errors.Annotate into its component operations of annotating an error with a stack trace and an a message, respectively. Using errors.Annotate constructs a stack of errors, adding context to the preceding error. Depending on the nature of the error it may be necessary to reverse the operation of errors.Annotate to retrieve the original error for inspection. Any error value which implements this interface can be inspected by errors.Cause. errors.Cause will recursively retrieve the topmost error which does not implement causer, which is assumed to be the original cause. For example: causer interface is not exported by this package, but is considered a part of stable public API. errors.Unwrap is also available: this will retrieve the next error in the chain. All error values returned from this package implement fmt.Formatter and can be formatted by the fmt package. The following verbs are supported New, Errorf, Annotate, and Annotatef record a stack trace at the point they are invoked. This information can be retrieved with the StackTracer interface that returns a StackTrace. Where errors.StackTrace is defined as The Frame type represents a call site in the stack trace. Frame supports the fmt.Formatter interface that can be used for printing information about the stack trace of this error. For example: See the documentation for Frame.Format for more details. errors.Find can be used to search for an error in the error chain.

Package enmime implements a MIME encoding and decoding library. It's built on top of Go's included mime/multipart support where possible, but is geared towards parsing MIME encoded emails. The enmime API has two conceptual layers. The lower layer is a tree of Part structs, representing each component of a decoded MIME message. The upper layer, called an Envelope provides an intuitive way to interact with a MIME message. Calling ReadParts causes enmime to parse the body of a MIME message into a tree of Part objects, each of which is aware of its content type, filename and headers. The content of a Part is available as a slice of bytes via the Content field. If the part was encoded in quoted-printable or base64, it is decoded prior to being placed in Content. If the Part contains text in a character set other than utf-8, enmime will attempt to convert it to utf-8. To locate a particular Part, pass a custom PartMatcher function into the BreadthMatchFirst() or DepthMatchFirst() methods to search the Part tree. BreadthMatchAll() and DepthMatchAll() will collect all Parts matching your criteria. ReadEnvelope returns an Envelope struct. Behind the scenes a Part tree is constructed, and then sorted into the correct fields of the Envelope. The Envelope contains both the plain text and HTML portions of the email. If there was no plain text Part available, the HTML Part will be down-converted using the html2text library1. The root of the Part tree, as well as slices of the inline and attachment Parts are also available. Every MIME Part has its own headers, accessible via the Part.Header field. The raw headers for an Envelope are available in Root.Header. Envelope also provides helper methods to fetch headers: GetHeader(key) will return the RFC 2047 decoded value of the specified header. AddressList(key) will convert the specified address header into a slice of net/mail.Address values. enmime attempts to be tolerant of poorly encoded MIME messages. In situations where parsing is not possible, the ReadEnvelope and ReadParts functions will return a hard error. If enmime is able to continue parsing the message, it will add an entry to the Errors slice on the relevant Part. After parsing is complete, all Part errors will be appended to the Envelope Errors slice. The Error* constants can be used to identify a specific class of error. Please note that enmime parses messages into memory, so it is not likely to perform well with multi-gigabyte attachments. enmime is open source software released under the MIT License. The latest version can be found at https://github.com/xhbase/enmime

Package stringset provides the capabilities of a standard Set with strings, including the standard set operations and a specialized ability to have a "negative" set for intersections. Negative sets are useful for inverting the sense of a set when combining them using Intersection. Negative sets do not change the behavior of any other set operations, including Union and Difference. Negative operations were created for managing a set of tags, where it is useful to be able to search for items that contain some tags but do not contain others. The API is designed to be chainable so that common operations become one-liners, and it is designed to be easy to use with slices of strings. This package does not return errors. Set operations should be fast and chainable; adding items more than once, or attempting to remove things that don't exist are not errors.

Package SQLittle provides pure Go, read-only, access to SQLite (version 3) database files. SQLittle reads SQLite3 tables and indexes. It iterates over tables, and can search efficiently using indexes. SQLittle will deal with all SQLite storage quirks, but otherwise it doesn't try to be smart; if you want to use an index you have to give the name of the index. There is no support for SQL, and if you want to do the most efficient joins possible you'll have to use the low level code. Based on https://sqlite.org/fileformat2.html and some SQLite source code reading. This whole thing is mostly for fun. The normal SQLite libraries are perfectly great, and there is no real need for this. However, since this library is pure Go cross-compilation is much easier. Given the constraints a valid use-case would for example be storing app configuration in read-only sqlite files. https://godoc.org/github.com/alicebob/sqlittle for the go doc and examples. See [LOWLEVEL.md](LOWLEVEL.md) about the low level reader. See [CODE.md](CODE.md) for an overview how the code is structured. Things SQLittle can do: Things SQLittle should do: Things SQLittle can not do: SQLittle has a read-lock on the file during the whole execution of the select-like functions. It's safe to update the database using SQLite while the file is opened in SQLittle. The current level of abstraction is likely the final one (that is: deal with reading single tables; don't even try joins or SQL or query planning), but the API might still change.

Package enmime implements a MIME encoding and decoding library. It's built on top of Go's included mime/multipart support where possible, but is geared towards parsing MIME encoded emails. The enmime API has two conceptual layers. The lower layer is a tree of Part structs, representing each component of a decoded MIME message. The upper layer, called an Envelope provides an intuitive way to interact with a MIME message. Calling ReadParts causes enmime to parse the body of a MIME message into a tree of Part objects, each of which is aware of its content type, filename and headers. The content of a Part is available as a slice of bytes via the Content field. If the part was encoded in quoted-printable or base64, it is decoded prior to being placed in Content. If the Part contains text in a character set other than utf-8, enmime will attempt to convert it to utf-8. To locate a particular Part, pass a custom PartMatcher function into the BreadthMatchFirst() or DepthMatchFirst() methods to search the Part tree. BreadthMatchAll() and DepthMatchAll() will collect all Parts matching your criteria. ReadEnvelope returns an Envelope struct. Behind the scenes a Part tree is constructed, and then sorted into the correct fields of the Envelope. The Envelope contains both the plain text and HTML portions of the email. If there was no plain text Part available, the HTML Part will be down-converted using the html2text library1. The root of the Part tree, as well as slices of the inline and attachment Parts are also available. Every MIME Part has its own headers, accessible via the Part.Header field. The raw headers for an Envelope are available in Root.Header. Envelope also provides helper methods to fetch headers: GetHeader(key) will return the RFC 2047 decoded value of the specified header. AddressList(key) will convert the specified address header into a slice of net/mail.Address values. enmime attempts to be tolerant of poorly encoded MIME messages. In situations where parsing is not possible, the ReadEnvelope and ReadParts functions will return a hard error. If enmime is able to continue parsing the message, it will add an entry to the Errors slice on the relevant Part. After parsing is complete, all Part errors will be appended to the Envelope Errors slice. The Error* constants can be used to identify a specific class of error. Please note that enmime parses messages into memory, so it is not likely to perform well with multi-gigabyte attachments. enmime is open source software released under the MIT License. The latest version can be found at https://github.com/jhillyerd/enmime

Package roster This tiny service was built to manage rosters with very limited abilities. Check swagger.yml for more information. Tools, libraries and approaches were chosen with a focus on production readiness. There are some technical decisions made to bring more flexibility and scalability to the service. It may look overcomplicated, but there is extensibility and reliability behind the simplicity. There are no frameworks due to simple infrastructure. - MongoDB - chosen because it's easy to shard and has enough search engine power to fulfill service needs; - Swagger - perfectly describes REST APIs and can be used to generate server and client API-code in a single command; - JWT auth - used to secure changes via API. Used because it's a common choice for API auth. - Docker - used to satisfy requirements and build and run the service in isolated environment. Multistage build is made to make resulted image as small as possible. Can be used on any cloud environment or as a part of orchestration systems like k8s; - Heroku - chosen as a simplest hosting with CI/CD features because it is easy to setup and monitor. All core logic (request handlers) is covered with unit-tests. No need to check infrastructure and generated core, because it doesn't change so much, but really hard to test. DB and web layers are isolated. The service is ready to run as a standalone microservice in any environment, e.g. k8s. It is built with a closer look to 12-factor app principle, and can be easily integrated into 12-f infrastructure with small changes or additions. To run the service as a library you need to run the Run function. It handles termination, so no need to set extra context. To run from command-line just call

Package freegeoip provides an API for searching the geolocation of IP addresses. It uses a database that can be either a local file or a remote resource from a URL. Local databases are monitored by fsnotify and reloaded when the file is either updated or overwritten. Remote databases are automatically downloaded and updated in background so you can focus on using the API and not managing the database.

Package gopeana provides an Europeana Search API client. Example: Europeana Search API documentation: https://pro.europeana.eu/resources/apis/search

Package freegeoip provides an API for searching the geolocation of IP addresses. It uses a database that can be either a local file or a remote resource from a URL. Local databases are monitored by fsnotify and reloaded when the file is either updated or overwritten. Remote databases are automatically downloaded and updated in background so you can focus on using the API and not managing the database. Also, the freegeoip package provides http handlers that any Go http server (net/http) can use. These handlers can process IP geolocation lookup requests and return data in multiple formats like CSV, XML, JSON and JSONP. It has also an API for supporting custom formats.

Package cloudwatchlogs provides the client and types for making API requests to Amazon CloudWatch Logs. You can use Amazon CloudWatch Logs to monitor, store, and access your log files from Amazon EC2 instances, AWS CloudTrail, or other sources. You can then retrieve the associated log data from CloudWatch Logs using the CloudWatch console, CloudWatch Logs commands in the AWS CLI, CloudWatch Logs API, or CloudWatch Logs SDK. You can use CloudWatch Logs to: Monitor logs from EC2 instances in real-time: You can use CloudWatch Logs to monitor applications and systems using log data. For example, CloudWatch Logs can track the number of errors that occur in your application logs and send you a notification whenever the rate of errors exceeds a threshold that you specify. CloudWatch Logs uses your log data for monitoring; so, no code changes are required. For example, you can monitor application logs for specific literal terms (such as "NullReferenceException") or count the number of occurrences of a literal term at a particular position in log data (such as "404" status codes in an Apache access log). When the term you are searching for is found, CloudWatch Logs reports the data to a CloudWatch metric that you specify. Monitor AWS CloudTrail logged events: You can create alarms in CloudWatch and receive notifications of particular API activity as captured by CloudTrail and use the notification to perform troubleshooting. Archive log data: You can use CloudWatch Logs to store your log data in highly durable storage. You can change the log retention setting so that any log events older than this setting are automatically deleted. The CloudWatch Logs agent makes it easy to quickly send both rotated and non-rotated log data off of a host and into the log service. You can then access the raw log data when you need it. See https://docs.aws.amazon.com/goto/WebAPI/logs-2014-03-28 for more information on this service. See cloudwatchlogs package documentation for more information. https://docs.aws.amazon.com/sdk-for-go/api/service/cloudwatchlogs/ To Amazon CloudWatch Logs with the SDK use the New function to create a new service client. With that client you can make API requests to the service. These clients are safe to use concurrently. See the SDK's documentation for more information on how to use the SDK. https://docs.aws.amazon.com/sdk-for-go/api/ See aws.Config documentation for more information on configuring SDK clients. https://docs.aws.amazon.com/sdk-for-go/api/aws/#Config See the Amazon CloudWatch Logs client CloudWatchLogs for more information on creating client for this service. https://docs.aws.amazon.com/sdk-for-go/api/service/cloudwatchlogs/#New

This example opens https://github.com/, searches for "git", and then gets the header element which gives the description for Git. Rod use https://golang.org/pkg/context to handle cancelations for IO blocking operations, most times it's timeout. Context will be recursively passed to all sub-methods. For example, methods like Page.Context(ctx) will return a clone of the page with the ctx, all the methods of the returned page will use the ctx if they have IO blocking operations. Page.Timeout or Page.WithCancel is just a shortcut for Page.Context. Of course, Browser or Element works the same way. Shows how we can further customize the browser with the launcher library. Usually you use launcher lib to set the browser's command line flags (switches). Doc for flags: https://peter.sh/experiments/chromium-command-line-switches Shows how to change the retry/polling options that is used to query elements. This is useful when you want to customize the element query retry logic. When rod doesn't have a feature that you need. You can easily call the cdp to achieve it. List of cdp API: https://chromedevtools.github.io/devtools-protocol Shows how to disable headless mode and debug. Rod provides a lot of debug options, you can set them with setter methods or use environment variables. Doc for environment variables: https://pkg.go.dev/github.com/go-rod/rod/lib/defaults We use "Must" prefixed functions to write example code. But in production you may want to use the no-prefix version of them. About why we use "Must" as the prefix, it's similar to https://golang.org/pkg/regexp/#MustCompile Shows how to share a remote object reference between two Eval Shows how to listen for events. Shows how to intercept requests and modify both the request and the response. The entire process of hijacking one request: The --req-> and --res-> are the parts that can be modified. Show how to handle multiple results of an action. Such as when you login a page, the result can be success or wrong password. Example_search shows how to use Search to get element inside nested iframes or shadow DOMs. It works the same as https://developers.google.com/web/tools/chrome-devtools/dom#search Shows how to update the state of the current page. In this example we enable the network domain. Rod uses mouse cursor to simulate clicks, so if a button is moving because of animation, the click may not work as expected. We usually use WaitStable to make sure the target isn't changing anymore. When you want to wait for an ajax request to complete, this example will be useful.

Package enmime implements a MIME encoding and decoding library. It's built on top of Go's included mime/multipart support where possible, but is geared towards parsing MIME encoded emails. The enmime API has two conceptual layers. The lower layer is a tree of Part structs, representing each component of a decoded MIME message. The upper layer, called an Envelope provides an intuitive way to interact with a MIME message. Calling ReadParts causes enmime to parse the body of a MIME message into a tree of Part objects, each of which is aware of its content type, filename and headers. The content of a Part is available as a slice of bytes via the Content field. If the part was encoded in quoted-printable or base64, it is decoded prior to being placed in Content. If the Part contains text in a character set other than utf-8, enmime will attempt to convert it to utf-8. To locate a particular Part, pass a custom PartMatcher function into the BreadthMatchFirst() or DepthMatchFirst() methods to search the Part tree. BreadthMatchAll() and DepthMatchAll() will collect all Parts matching your criteria. ReadEnvelope returns an Envelope struct. Behind the scenes a Part tree is constructed, and then sorted into the correct fields of the Envelope. The Envelope contains both the plain text and HTML portions of the email. If there was no plain text Part available, the HTML Part will be down-converted using the html2text library1. The root of the Part tree, as well as slices of the inline and attachment Parts are also available. Every MIME Part has its own headers, accessible via the Part.Header field. The raw headers for an Envelope are available in Root.Header. Envelope also provides helper methods to fetch headers: GetHeader(key) will return the RFC 2047 decoded value of the specified header. AddressList(key) will convert the specified address header into a slice of net/mail.Address values. enmime attempts to be tolerant of poorly encoded MIME messages. In situations where parsing is not possible, the ReadEnvelope and ReadParts functions will return a hard error. If enmime is able to continue parsing the message, it will add an entry to the Errors slice on the relevant Part. After parsing is complete, all Part errors will be appended to the Envelope Errors slice. The Error* constants can be used to identify a specific class of error. Please note that enmime parses messages into memory, so it is not likely to perform well with multi-gigabyte attachments. enmime is open source software released under the MIT License. The latest version can be found at https://github.com/jhillyerd/enmime

Package freegeoip provides an API for searching the geolocation of IP addresses. It uses a database that can be either a local file or a remote resource from a URL. Local databases are monitored by fsnotify and reloaded when the file is either updated or overwritten. Remote databases are automatically downloaded and updated in background so you can focus on using the API and not managing the database.

Package enmime implements a MIME encoding and decoding library. It's built on top of Go's included mime/multipart support where possible, but is geared towards parsing MIME encoded emails. The enmime API has two conceptual layers. The lower layer is a tree of Part structs, representing each component of a decoded MIME message. The upper layer, called an Envelope provides an intuitive way to interact with a MIME message. Calling ReadParts causes enmime to parse the body of a MIME message into a tree of Part objects, each of which is aware of its content type, filename and headers. The content of a Part is available as a slice of bytes via the Content field. If the part was encoded in quoted-printable or base64, it is decoded prior to being placed in Content. If the Part contains text in a character set other than utf-8, enmime will attempt to convert it to utf-8. To locate a particular Part, pass a custom PartMatcher function into the BreadthMatchFirst() or DepthMatchFirst() methods to search the Part tree. BreadthMatchAll() and DepthMatchAll() will collect all Parts matching your criteria. ReadEnvelope returns an Envelope struct. Behind the scenes a Part tree is constructed, and then sorted into the correct fields of the Envelope. The Envelope contains both the plain text and HTML portions of the email. If there was no plain text Part available, the HTML Part will be down-converted using the html2text library1. The root of the Part tree, as well as slices of the inline and attachment Parts are also available. Every MIME Part has its own headers, accessible via the Part.Header field. The raw headers for an Envelope are available in Root.Header. Envelope also provides helper methods to fetch headers: GetHeader(key) will return the RFC 2047 decoded value of the specified header. AddressList(key) will convert the specified address header into a slice of net/mail.Address values. enmime attempts to be tolerant of poorly encoded MIME messages. In situations where parsing is not possible, the ReadEnvelope and ReadParts functions will return a hard error. If enmime is able to continue parsing the message, it will add an entry to the Errors slice on the relevant Part. After parsing is complete, all Part errors will be appended to the Envelope Errors slice. The Error* constants can be used to identify a specific class of error. Please note that enmime parses messages into memory, so it is not likely to perform well with multi-gigabyte attachments. enmime is open source software released under the MIT License. The latest version can be found at https://github.com/jhillyerd/enmime

Package faapi uses GET requests and parsing to get metadata from the main sections of FurAffinity. These include submissions, user-pages, galleries and searches. The package loads cookies from a JSON formatted file and will return structs with the requested metadata. The main type in the package is faapi.FAAPI. The Cookies and Request fields are assigned using faapi.LoadCookies() and faapi.MakeRequest() methods. The thus assigned cookies and request will be used by the rest of the package to perform the GET requests. The Interval field specifies how long to wait between requests (i.e. throttle). The other two types are used to return parsed metadata from the requests. The field names describe their content. For Submission.ID an int type has been used instead of string because the a submission ID on FA can only be a number, the other fields use simple strings (or slices of them) for easier handling. The Submission type contains the metadata that the package can parse from the submission page. The date is the only modified field: the package converts from the "Mmm D, YYYY" format to "YYYY-MM-DD" for easier sorting and reformatting. Tags are stored in a non-sorted slice. The Description field contains the HTML source of the submission description, directly extracted from the response. The only edit the package performs is to add "http:" to src attributes that lack it (i.e. resources internal to FA). The FileURL field stores the link to the submission file (with "http:" added). The File field stores the binary data of the submission file. The User type contains the metadata extracted from a user's main page. User.Userid and User.Username store the same value but in two different formats. Userid is the url-compatible version of the username, so it lacks capital letters and the underscore character is removed. Username instead stores the user-formatted version of the name (i.e. with capital letters, underscore). The Title is the small "description" chosen by the user (e.g. Writer, Artist, etc...) and extracted as is. The Status can be active, suspended or deceased at the moment and it depends from the first character that FA automatically prefixes to the user's name (e.g. "~UserName" for an active username). Date is the date the user joined, formatted to "YYYY-MM-DD". The Profile is the HTML source of the main description written by the user. The FAAPI type supports two types of methods, one to initialize the api, the other to get data off the forum. LoadCookies() and MakeRequest() are used to initialize the type. The first takes a string as filename and opens the corresponding file. If the file is properly formatted (in JSON) then the cookies contained in it will be loaded into the api as a slice of http.Cookie. The cookies file needs to contain elements with at least name and value keys, others are not necessary. MakeRequest() simply takes the cookies slice returned and saved by LoadCookies() and uses it to create a http.Request object which is then saved in the FAAPI struct. The Get* methods return single structs or slices of what their name suggests. GetSubmission() and GetUser() return a single struct of type Submission and User respectively. These are the calls that provide the most information for both user and submission. GetGallery(), GetScraps(), GetFavorites() and GetSearch() all return a slice of Submission. Gallery, scraps and favorites take a userid as argument together with a page value. The slices returned contain normal Submission structs but with less information: the Date, Tags, Description and FileURL fields are empty. This is because these methods parse the links contained withing the user folders (or search pages) which do not contain those values. The second item the methods return is the next page in the specific section. If no next page page can be found (i.e. there is no next page button) then `next` will have value -1. For gallery, scraps and searches the next page item is just the passed page argument increased by 1, for favorites it is the id of the next page. GetFavorites() page works differently than the others. FA uses an id for favorites pages. 0 can be used to get the first page and 1 for the last, but those in between will need the specific page id. GetSearch() takes a map argument with both keys and values of type string. These are then encoded using the URL. Values method AddValues and are then encoded and added to the URL.RawQuery field of the http.Request. The Submission type supports a single method. GetFile() downloads the file pointed at by FileURL and saves its binary data into the File field.

Package enmime implements a MIME encoding and decoding library. It's built on top of Go's included mime/multipart support where possible, but is geared towards parsing MIME encoded emails. The enmime API has two conceptual layers. The lower layer is a tree of Part structs, representing each component of a decoded MIME message. The upper layer, called an Envelope provides an intuitive way to interact with a MIME message. Calling ReadParts causes enmime to parse the body of a MIME message into a tree of Part objects, each of which is aware of its content type, filename and headers. The content of a Part is available as a slice of bytes via the Content field. If the part was encoded in quoted-printable or base64, it is decoded prior to being placed in Content. If the Part contains text in a character set other than utf-8, enmime will attempt to convert it to utf-8. To locate a particular Part, pass a custom PartMatcher function into the BreadthMatchFirst() or DepthMatchFirst() methods to search the Part tree. BreadthMatchAll() and DepthMatchAll() will collect all Parts matching your criteria. ReadEnvelope returns an Envelope struct. Behind the scenes a Part tree is constructed, and then sorted into the correct fields of the Envelope. The Envelope contains both the plain text and HTML portions of the email. If there was no plain text Part available, the HTML Part will be down-converted using the html2text library1. The root of the Part tree, as well as slices of the inline and attachment Parts are also available. Every MIME Part has its own headers, accessible via the Part.Header field. The raw headers for an Envelope are available in Root.Header. Envelope also provides helper methods to fetch headers: GetHeader(key) will return the RFC 2047 decoded value of the specified header. AddressList(key) will convert the specified address header into a slice of net/mail.Address values. enmime attempts to be tolerant of poorly encoded MIME messages. In situations where parsing is not possible, the ReadEnvelope and ReadParts functions will return a hard error. If enmime is able to continue parsing the message, it will add an entry to the Errors slice on the relevant Part. After parsing is complete, all Part errors will be appended to the Envelope Errors slice. The Error* constants can be used to identify a specific class of error. Please note that enmime parses messages into memory, so it is not likely to perform well with multi-gigabyte attachments. enmime is open source software released under the MIT License. The latest version can be found at https://github.com/jhillyerd/enmime

Package errors provides simple error handling primitives. The traditional error handling idiom in Go is roughly akin to which applied recursively up the call stack results in error reports without context or debugging information. The errors package allows programmers to add context to the failure path in their code in a way that does not destroy the original value of the error. The errors.Annotate function returns a new error that adds context to the original error by recording a stack trace at the point Annotate is called, and the supplied message. For example If additional control is required the errors.AddStack and errors.WithMessage functions destructure errors.Annotate into its component operations of annotating an error with a stack trace and an a message, respectively. Using errors.Annotate constructs a stack of errors, adding context to the preceding error. Depending on the nature of the error it may be necessary to reverse the operation of errors.Annotate to retrieve the original error for inspection. Any error value which implements this interface can be inspected by errors.Cause. errors.Cause will recursively retrieve the topmost error which does not implement causer, which is assumed to be the original cause. For example: causer interface is not exported by this package, but is considered a part of stable public API. errors.Unwrap is also available: this will retrieve the next error in the chain. All error values returned from this package implement fmt.Formatter and can be formatted by the fmt package. The following verbs are supported New, Errorf, Annotate, and Annotatef record a stack trace at the point they are invoked. This information can be retrieved with the StackTracer interface that returns a StackTrace. Where errors.StackTrace is defined as The Frame type represents a call site in the stack trace. Frame supports the fmt.Formatter interface that can be used for printing information about the stack trace of this error. For example: See the documentation for Frame.Format for more details. errors.Find can be used to search for an error in the error chain.

Package anticycle is a tool for static code analysis which search for dependency cycles. It scans recursively all source files and parses theirs dependencies. Anticycle does not compile the code, so it is ideal for searching for complex, difficult to debug cycles. Anticycle consists of three parts: 1. Main package which exists in cmd/anticycle directory. It compiles to CLI binary 2. Public API which is importable for other applications. 3. Internal, private interface which should not be imported and use directly. It may change at any moment without warnings.

Package freegeoip provides an API for searching the geolocation of IP addresses. It uses a database that can be either a local file or a remote resource from a URL. Local databases are monitored by fsnotify and reloaded when the file is either updated or overwritten. Remote databases are automatically downloaded and updated in background so you can focus on using the API and not managing the database.

Package freegeoip provides an API for searching the geolocation of IP addresses. It uses a database that can be either a local file or a remote resource from a URL. Local databases are monitored by fsnotify and reloaded when the file is either updated or overwritten. Remote databases are automatically downloaded and updated in background so you can focus on using the API and not managing the database.

Package SQLittle provides pure Go, read-only, access to SQLite (version 3) database files. SQLittle reads SQLite3 tables and indexes. It iterates over tables, and can search efficiently using indexes. SQLittle will deal with all SQLite storage quirks, but otherwise it doesn't try to be smart; if you want to use an index you have to give the name of the index. There is no support for SQL, and if you want to do the most efficient joins possible you'll have to use the low level code. Based on https://sqlite.org/fileformat2.html and some SQLite source code reading. This whole thing is mostly for fun. The normal SQLite libraries are perfectly great, and there is no real need for this. However, since this library is pure Go cross-compilation is much easier. Given the constraints a valid use-case would for example be storing app configuration in read-only sqlite files. https://godoc.org/github.com/alicebob/sqlittle for the go doc and examples. See [LOWLEVEL.md](LOWLEVEL.md) about the low level reader. See [CODE.md](CODE.md) for an overview how the code is structured. Things SQLittle can do: Things SQLittle should do: Things SQLittle can not do: SQLittle has a read-lock on the file during the whole execution of the select-like functions. It's safe to update the database using SQLite while the file is opened in SQLittle. The current level of abstraction is likely the final one (that is: deal with reading single tables; don't even try joins or SQL or query planning), but the API might still change.

Package freegeoip provides an API for searching the geolocation of IP addresses. It uses a database that can be either a local file or a remote resource from a URL. Local databases are monitored by fsnotify and reloaded when the file is either updated or overwritten. Remote databases are automatically downloaded and updated in background so you can focus on using the API and not managing the database. Also, the freegeoip package provides http handlers that any Go http server (net/http) can use. These handlers can process IP geolocation lookup requests and return data in multiple formats like CSV, XML, JSON and JSONP. It has also an API for supporting custom formats.

Package enmime implements a MIME encoding and decoding library. It's built on top of Go's included mime/multipart support where possible, but is geared towards parsing MIME encoded emails. The enmime API has two conceptual layers. The lower layer is a tree of Part structs, representing each component of a decoded MIME message. The upper layer, called an Envelope provides an intuitive way to interact with a MIME message. Calling ReadParts causes enmime to parse the body of a MIME message into a tree of Part objects, each of which is aware of its content type, filename and headers. The content of a Part is available as a slice of bytes via the Content field. If the part was encoded in quoted-printable or base64, it is decoded prior to being placed in Content. If the Part contains text in a character set other than utf-8, enmime will attempt to convert it to utf-8. To locate a particular Part, pass a custom PartMatcher function into the BreadthMatchFirst() or DepthMatchFirst() methods to search the Part tree. BreadthMatchAll() and DepthMatchAll() will collect all Parts matching your criteria. ReadEnvelope returns an Envelope struct. Behind the scenes a Part tree is constructed, and then sorted into the correct fields of the Envelope. The Envelope contains both the plain text and HTML portions of the email. If there was no plain text Part available, the HTML Part will be down-converted using the html2text library1. The root of the Part tree, as well as slices of the inline and attachment Parts are also available. Every MIME Part has its own headers, accessible via the Part.Header field. The raw headers for an Envelope are available in Root.Header. Envelope also provides helper methods to fetch headers: GetHeader(key) will return the RFC 2047 decoded value of the specified header. AddressList(key) will convert the specified address header into a slice of net/mail.Address values. enmime attempts to be tolerant of poorly encoded MIME messages. In situations where parsing is not possible, the ReadEnvelope and ReadParts functions will return a hard error. If enmime is able to continue parsing the message, it will add an entry to the Errors slice on the relevant Part. After parsing is complete, all Part errors will be appended to the Envelope Errors slice. The Error* constants can be used to identify a specific class of error. Please note that enmime parses messages into memory, so it is not likely to perform well with multi-gigabyte attachments. enmime is open source software released under the MIT License. The latest version can be found at https://github.com/jhillyerd/enmime

Package freegeoip provides an API for searching the geolocation of IP addresses. It uses a database that can be either a local file or a remote resource from a URL. Local databases are monitored by fsnotify and reloaded when the file is either updated or overwritten. Remote databases are automatically downloaded and updated in background so you can focus on using the API and not managing the database.

Package freegeoip provides an API for searching the geolocation of IP addresses. It uses a database that can be either a local file or a remote resource from a URL. Local databases are monitored by fsnotify and reloaded when the file is either updated or overwritten. Remote databases are automatically downloaded and updated in background so you can focus on using the API and not managing the database.

Package enmime implements a MIME encoding and decoding library. It's built on top of Go's included mime/multipart support where possible, but is geared towards parsing MIME encoded emails. The enmime API has two conceptual layers. The lower layer is a tree of Part structs, representing each component of a decoded MIME message. The upper layer, called an Envelope provides an intuitive way to interact with a MIME message. Calling ReadParts causes enmime to parse the body of a MIME message into a tree of Part objects, each of which is aware of its content type, filename and headers. The content of a Part is available as a slice of bytes via the Content field. If the part was encoded in quoted-printable or base64, it is decoded prior to being placed in Content. If the Part contains text in a character set other than utf-8, enmime will attempt to convert it to utf-8. To locate a particular Part, pass a custom PartMatcher function into the BreadthMatchFirst() or DepthMatchFirst() methods to search the Part tree. BreadthMatchAll() and DepthMatchAll() will collect all Parts matching your criteria. ReadEnvelope returns an Envelope struct. Behind the scenes a Part tree is constructed, and then sorted into the correct fields of the Envelope. The Envelope contains both the plain text and HTML portions of the email. If there was no plain text Part available, the HTML Part will be down-converted using the html2text library1. The root of the Part tree, as well as slices of the inline and attachment Parts are also available. Every MIME Part has its own headers, accessible via the Part.Header field. The raw headers for an Envelope are available in Root.Header. Envelope also provides helper methods to fetch headers: GetHeader(key) will return the RFC 2047 decoded value of the specified header. AddressList(key) will convert the specified address header into a slice of net/mail.Address values. enmime attempts to be tolerant of poorly encoded MIME messages. In situations where parsing is not possible, the ReadEnvelope and ReadParts functions will return a hard error. If enmime is able to continue parsing the message, it will add an entry to the Errors slice on the relevant Part. After parsing is complete, all Part errors will be appended to the Envelope Errors slice. The Error* constants can be used to identify a specific class of error. Please note that enmime parses messages into memory, so it is not likely to perform well with multi-gigabyte attachments. enmime is open source software released under the MIT License. The latest version can be found at https://github.com/jhillyerd/enmime

Package enmime implements a MIME encoding and decoding library. It's built on top of Go's included mime/multipart support where possible, but is geared towards parsing MIME encoded emails. The enmime API has two conceptual layers. The lower layer is a tree of Part structs, representing each component of a decoded MIME message. The upper layer, called an Envelope provides an intuitive way to interact with a MIME message. Calling ReadParts causes enmime to parse the body of a MIME message into a tree of Part objects, each of which is aware of its content type, filename and headers. The content of a Part is available as a slice of bytes via the Content field. If the part was encoded in quoted-printable or base64, it is decoded prior to being placed in Content. If the Part contains text in a character set other than utf-8, enmime will attempt to convert it to utf-8. To locate a particular Part, pass a custom PartMatcher function into the BreadthMatchFirst() or DepthMatchFirst() methods to search the Part tree. BreadthMatchAll() and DepthMatchAll() will collect all Parts matching your criteria. ReadEnvelope returns an Envelope struct. Behind the scenes a Part tree is constructed, and then sorted into the correct fields of the Envelope. The Envelope contains both the plain text and HTML portions of the email. If there was no plain text Part available, the HTML Part will be down-converted using the html2text library1. The root of the Part tree, as well as slices of the inline and attachment Parts are also available. Every MIME Part has its own headers, accessible via the Part.Header field. The raw headers for an Envelope are available in Root.Header. Envelope also provides helper methods to fetch headers: GetHeader(key) will return the RFC 2047 decoded value of the specified header. AddressList(key) will convert the specified address header into a slice of net/mail.Address values. enmime attempts to be tolerant of poorly encoded MIME messages. In situations where parsing is not possible, the ReadEnvelope and ReadParts functions will return a hard error. If enmime is able to continue parsing the message, it will add an entry to the Errors slice on the relevant Part. After parsing is complete, all Part errors will be appended to the Envelope Errors slice. The Error* constants can be used to identify a specific class of error. Please note that enmime parses messages into memory, so it is not likely to perform well with multi-gigabyte attachments. enmime is open source software released under the MIT License. The latest version can be found at https://github.com/jhillyerd/enmime

Package freegeoip provides an API for searching the geolocation of IP addresses. It uses a database that can be either a local file or a remote resource from a URL. Local databases are monitored by fsnotify and reloaded when the file is either updated or overwritten. Remote databases are automatically downloaded and updated in background so you can focus on using the API and not managing the database.

Package **cli** provides access to a **DB2 database** on Linux, Unix, and Windows (LUW) using DB2 Call Level Interface (**CLI**) API. **cli** is based on *alexbrainman's* odbc package: https://github.com/alexbrainman/odbc. This package registers a driver for the standard Go **database/sql** package and used through the **database/sql** API. ###Error Handling The package has no exported API except two functions-**SQLCode()** and **SQLState()**-for inspecting DB2 CLI error. The function signature is as follows: Since package **cli** is imported for side-effects only, use the following code pattern to access SQLCode() and SQLState(): The local interface can include SQLState() also for inspecting SQLState from DB2 CLI. **SQLCODE** is a return code from a IBM DB2 SQL operation. This code can be zero (0), negative, or positive. Search "SQL messages" in DB2 Information Center to find out more about SQLCODE. **SQLSTATE** is a return code like SQLCODE. But instead of a number, it is a five character error code that is consistent across all IBM database products. SQLSTATE follows this format: ccsss, where cc indicates class and sss indicates subclass. Search "SQLSTATE Messages" in DB2 Information Center for more detail. ###Connection String This driver uses DB2 CLI function **SQLConnect** and **SQLDriverConnect** in driver.Open(...). To use **SQLConnect**, start the name or the DSN string with keyword sqlconnect. This keyword is case insensitive. The connection string needs to follow this syntax to be valid: [...] means optional. If a database_name is not provided, then SAMPLE is used as the database name. Also note that each keyword and value ends with a semicolon. The keyword "sqlconnect" doesn't take a value but ends with a semi-colon. Examples: Any other connection string must follow the connection string rule that is valid with SQLDriverConnect. For example, this is a valid dsn/connection string for SQLDriverConnect: Examples: Search **SQLDriverConnect** in DB2 LUW *Information Center* for more detail. ## Installation IBM DB2 for Linux, Unix and Windows (DB2 LUW) implements its own ODBC driver. This package uses the DB2 ODBC/CLI driver through cgo. As such this package requires DB2 C headers and libraries for compilation. If you don't have DB2 LUW installed on the system, then you can install the free, community DB2 version *DB2 Express-C*. You can also use *IBM Data Server Driver package*. It includes the required headers and libraries but not a DB2 database manager. To install, download this package by running the following: Go to the following directory: In that directory run the following to install the package: This script only works on Mac OS and Linux. For Windows, please set the CGO_LDFLAGS and CGO_CFLAGS, so cgo can locate the DB2 CLI library and CLI C header files. Then run: ##Usage See `example_test.go`.

Goiardi is an implementation of the Chef server (http://www.opscode.com) written in Go. It can either run entirely in memory with the option to save and load the in-memory data and search indexes to and from disk, drawing inspiration from chef-zero, or it can use MySQL or PostgreSQL as its storage backend. Like all software, it is a work in progress. Goiardi now, though, should have all the functionality of the open source Chef Server, plus some extras like reporting and event logging. It does not support other Enterprise Chef type features like organizations or pushy at this time. When used, knife works, and chef-client runs complete successfully. Almost all chef-pendant tests successfully successfully run, with a few disagreements about error messages that don't impact the clients. It does pretty well against the official chef-pedant, but because goiardi handles some authentication matters a little differently than the official chef-server, there is also a fork of chef-pedant located at https://github.com/ctdk/chef-pedant that's more custom tailored to goiardi. Many go tests are present as well in different goiardi subdirectories. Goiardi currently has eight dependencies: go-flags, go-cache, go-trie, toml, the mysql driver from go-sql-driver, the postgres driver, logger, and go-uuid. To install them, run: from your $GOROOT, or just use the -t flag when you go get goiardi. If you would like to modify the search grammar, you'll need the 'peg' package. To install that, run In the 'search/' directory, run 'peg -switch -inline search-parse.peg' to generate the new grammar. If you don't plan on editing the search grammar, though, you won't need that. 1. Install go. (http://golang.org/doc/install.html) You may need to upgrade to go 1.2 to compile all the dependencies. Go 1.3 is also confirmed to work. 2. Make sure your $GOROOT and PATH are set up correctly per the Go installation instructions. 3. Download goairdi and its dependencies. 4. Run tests, if desired. Several goiardi subdirectories have go tests, and chef-pedant can and should be used for testing goiardi as well. 5. Install the goiardi binaries. 6. Run goiardi. Or, you can look at the goiardi releases page on github at https://github.com/ctdk/goiardi/releases and see if there are precompiled binaries available for your platform. You can get a list of command-line options with the '-h' flag. Goiardi can also take a config file, run like goiardi -c /path/to/conf-file. See etc/goiardi.conf-sample for an example documented configuration file. Options in the configuration file share the same name as the long command line arguments (so, for example, --ipaddress=127.0.0.1 on the command line would be ipaddress = "127.0.0.1" in the config file. Currently available command line and config file options: For more documentation on Chef, see http://docs.opscode.com. If goiardi is not running in use-auth mode, it does not actually care about .pem files at all. You still need to have one to keep knife and chef-client happy. It's like chef-zero in that regard. If goiardi is running in use-auth mode, then proper keys are needed. When goiardi is started, if the chef-webui and chef-validator clients, and the admin user, are not present, it will create new keys in the --conf-root directory. Use them as you would normally for validating clients, performing tasks with the admin user, or using chef-webui if webui will run in front of goiardi. In auth mode, goiardi supports versions 1.0, 1.1, and 1.2 of the Chef authentication protocol. *Note:* The admin user, when created on startup, does not have a password. This prevents logging in to the webui with the admin user, so a password will have to be set for admin before doing so. By default, goiardi logs to standard output. A log file may be specified with the `-L/--log-file` flag, or goiardi can log to syslog with the `-s/--syslog` flag on platforms that support syslog. Attempting to use syslog on one of these platforms (currently Windows and plan9 (although plan9 doesn't build for other reasons)) will result in an error. Log levels can be set in goiardi with either the `log-level` option in the configuration file, or with one to four -V flags on the command line. Log level options are "debug", "info", "warning", "error", and "critical". More -V on the command line means more spewing into the log. Goiardi can now use MySQL to store its data, instead of keeping all its data in memory (and optionally freezing its data to disk for persistence). If you want to use MySQL, you (unsurprisingly) need a MySQL installation that goiardi can access. This document assumes that you are able to install, configure, and run MySQL. Once the MySQL server is set up to your satisfaction, you'll need to install sqitch to deploy the schema, and any changes to the database schema that may come along later. It can be installed out of CPAN or homebrew; see "Installation" on http://sqitch.org for details. The sqitch MySQL tutorial at https://metacpan.org/pod/sqitchtutorial-mysql explains how to deploy, verify, and revert changes to the database with sqitch, but the basic steps to deploy the schema are: * Create goiardi's database: `mysql -u root --execute 'CREATE DATABASE goiardi'` * Optionally, create a separate mysql user for goiardi and give it permissions on that database. * In sql-files/mysql-bundle, deploy the bundle: `sqitch deploy db:mysql://root[:<password>]@/goiardi` To update an existing database deployed by sqitch, run the `sqitch deploy` command above again. If you really really don't want to install sqitch, apply each SQL patch in sql-files/mysql-bundle by hand in the same order they're listed in the sqitch.plan file. The above values are for illustration, of course; nothing requires goiardi's database to be named "goiardi". Just make sure the right database is specified in the config file. Set `use-mysql = true` in the configuration file, or specify `--use-mysql` on the command line. It is an error to specify both the `-D`/`--data-file` flag and `--use-mysql` at the same time. At this time, the mysql connection options have to be defined in the config file. An example configuration is available in `etc/goiardi.conf-sample`, and is given below: Goiardi can also use Postgres as a backend for storing its data, instead of using MySQL or the in-memory data store. The overall procedure is pretty similar to setting up goiardi to use MySQL. Specifically for Postgres, you may want to create a database especially for goiardi, but it's not mandatory. If you do, you may also want to create a user for it. If you decide to do that: * Create the user: `$ createuser goiardi <additional options>` * Create the database, if you decided to: `$ createdb goiardi_db <additional options>`. If you created a user, make it the owner of the goiardi db with `-O goiardi`. After you've done that, or decided to use an existing database and user, deploy the sqitch bundle in sql-files/postgres-bundle. If you're using the default Postgres user on the local machine, `sqitch deploy db:pg:<dbname>` will be sufficient. Otherwise, the deploy command will be something like `sqitch deploy db:pg://user:password@localhost/goairdi_db`. The Postgres sqitch tutorial at https://metacpan.org/pod/sqitchtutorial explains more about how to use sqitch and Postgres. Set `use-postgresql` in the configuration file, or specify `--use-postgresql` on the command line. It's also an error to specify both `-D`/`--data-file` flag and `--use-postgresql` at the same time like it is in MySQL mode. MySQL and Postgres cannot be used at the same time, either. Like MySQL, the Postgres connection options must be specified in the config file at this time. There is also an example Postgres configuration in the config file, and can be seen below: Goiardi has optional event logging. When enabled with the `--log-events` command line option, or with the `"log-events"` option in the config file, changes to clients, users, cookbooks, data bags, environments, nodes, and roles will be tracked. The event log can be viewed through the /events API endpoint. If the `-K`/`--log-event-keep` option is set, then once a minute the event log will be automatically purged, leaving that many events in the log. This is particularly recommended when using the event log in in-memory mode. The event API endpoints work as follows: A user or client must be an administrator account to use the `/events` endpoint. The data returned by an event should look something like this: The easiest way to use the event log is with the knife-goiardi-event-log knife plugin. It's available on rubygems, or at github at https://github.com/ctdk/knife-goiardi-event-log. Goiardi now supports, on an experimental basis, Chef's reporting facilities. Nothing needs to be enabled in goiardi to use this, but changes are required with the client. See http://docs.opscode.com/reporting.html for details on how to enable reporting and how to use it. There is a goiardi extension to reporting: a "status" query parameter may be passed in a GET request that lists reports to limit the reports returned to ones that match the status, so you can read only reports of chef runs that were successful, failed, or started but haven't completed yet. Valid values for the "status" parameter are "started", "success", and "failure". To use reporting, you'll either need the Chef knife-reporting plugin, or use the knife-goiardi-reporting plugin that supports querying runs by status. It's available on rubygems, or on github at https://github.com/ctdk/knife-goiardi-reporting. As this is an experimental feature, it may not work entirely correctly. Bug reports are appreciated. Goiardi can now import and export its data in a JSON file. This can help both when upgrading, when the on-disk data format changes between releases, and to convert your goiardi installation from in-memory to MySQL (or vice versa). The JSON file has a version number set (currently 1.0), so that in the future if there is some sort of incompatible change to the JSON file format the importer will be able to handle it. Before importing data, you should back up any existing data and index files (and take a snapshot of the SQL db, if applicable) if there's any reason you might want it around later. After exporting, you may wish to hold on to the old installation data until you're satisfied that the import went well. Remember that the JSON export file contains the client and user public keys (which for the purposes of goiardi and chef are private) and the user hashed passwords and password salts. The export file should be guarded closely. The `-x/--export` and `-m/--import` flags control importing and exporting data. To export data, stop goiardi, then run it again with the same options as before but adding `-x <filename>` to the command. This will export all the data to the given filename, and goiardi will exit. Importing is ever so slightly trickier. You should remove any existing data store and index files, and if using an SQL database use sqitch to revert and deploy all of the SQL files to set up a completely clean schema for goiardi. Then run goiardi with the new options like you normally would, but add `-m <filename>`. Goiardi will run, import the new data, and exit. Assuming it went well, the data will be all imported. The export dump does not contain the user and client .pem files, so those will need to be saved and moved as needed. Theoretically a properly crafted export file could be used to do bulk loading of data into goiardi, thus goiardi does not wipe out the existing data on its own but rather leaves that task to the administrator. This functionality is merely theoretical and completely untested. If you try it, you should back your data up first. Goiardi has been built and run with the native 6g compiler on Mac OS X (10.7, 10.8, and 10.9), Debian squeeze and wheezy, a fairly recent Arch Linux, FreeBSD 9.2, and Solaris. Using Go's cross compiling capabilities, goiardi builds for all of Go's supported platforms except Dragonfly BSD and plan9 (because of issues with the postgres client library). Windows support has not been tested extensively, but a cross compiled binary has been tested successfully on Windows. Goiardi has also been built and run with gccgo (using the "-compiler gccgo" option with the "go" command) on Arch Linux. Building it with gccgo without the go command probably works, but it hasn't happened yet. This is a priority, though, so goiardi can be built on platforms the native compiler doesn't support yet. As mentioned above, goiardi can now freeze its in-memory data store and index to disk if specified. It will save before quitting if the program receives a SIGTERM or SIGINT signal, along with saving every "freeze-interval" seconds automatically. Saving automatically helps guard against the case where the server receives a signal that it can't handle and forces it to quit. In addition, goiardi will not replace the old save files until the new one is all finished writing. However, it's still not anywhere near a real database with transaction protection, etc., so while it should work fine in the general case, possibilities for data loss and corruption do exist. The appropriate caution is warranted. In addition to the aforementioned Chef documentation at http://docs.opscode.com, more documentation specific to goiardi can be viewed with godoc. See http://godoc.org/code.google.com/p/go.tools/cmd/godoc for an explanation of how godoc works. See the TODO file for an up-to-date list of what needs to be done. There's a lot. There's going to be a lot of these for a while, so we'll just keep those in a BUGS file, won't we? This started as a project to learn Go, and because I thought that an in memory chef server would be handy. Then I found out about chef-zero, but I still wanted a project to learn Go, so I kept it up. Chef 11 Server also only runs under Linux at this time, while Goiardi is developed under Mac OS X and ought to run under any platform Go supports (only partially at this time though). If you feel like contributing, great! Just fork the repo, make your improvements, and submit a pull request. Tests would, of course, be appreciated. Adding tests where there are no tests currently would be even more appreciated. At least, though, try and not break anything worse than it is. Test coverage has improved, but is still an ongoing concern. Goiardi is authored and copyright (c) Jeremy Bingham, 2013. Like many Chef ecosystem programs, goairdi is licensed under the Apache 2.0 License. See the LICENSE file for details. Chef is copyright (c) 2008-2013 Opscode, Inc. and its various contributors. Thanks go out to the fine folks of Opscode and the Chef community for all their hard work. Also, if you were wondering, Ettore Boiardi was the man behind Chef Boyardee. Wakka wakka.

Package freegeoip provides an API for searching the geolocation of IP addresses. It uses a database that can be either a local file or a remote resource from a URL. Local databases are monitored by fsnotify and reloaded when the file is either updated or overwritten. Remote databases are automatically downloaded and updated in background so you can focus on using the API and not managing the database.

Package foursquarego provides a Client for the Foursquare API. Here are some example requests There is a parameters struct if there is more than just 1 parameter. If there are strict options for the parameters then there will be a struct as seen in the search above. For Authentication the just send either the Client Secret or the users's Access Token. If you send both to the client it will send both to foursquare. Foursquare expects that if you're making a request for a user you will send the Access Token. More information can be found on their auth page, https://developer.foursquare.com/overview/auth

Package freegeoip provides an API for searching the geolocation of IP addresses. It uses a database that can be either a local file or a remote resource from a URL. Local databases are monitored by fsnotify and reloaded when the file is either updated or overwritten. Remote databases are automatically downloaded and updated in background so you can focus on using the API and not managing the database. Also, the freegeoip package provides http handlers that any Go http server (net/http) can use. These handlers can process IP geolocation lookup requests and return data in multiple formats like CSV, XML, JSON and JSONP. It has also an API for supporting custom formats.