# Log::Timeline When building an application with many ongoing, potentially overlapping, tasks, we may find ourselves wishing to observe what is going on. We'd like to log, but with a focus on things that happen over time rather than just individual events. The `Log::Timeline` module provides a means to do that. **Status:** while `Log::Timeline` itself works, the things to make it useful are still to come. It has been published at this point to enable integration of it into an upcoming Cro release, so HTTP requests and server pipelines can be logged. An upcoming Comma release will provide a means to visualize the timeline and observe it live. ## Key features Currently implemented: * Log tasks with start and end times * Log individual events * Tasks and events can be associated with an enclosing parent task * Include data with the logged tasks and events * Have data logged to a file, or exposed over a socket Upcoming integrations (quite possibly released by the time you read this): * Support by [Cro](https://cro.services/), to offer insight into client and server request processing pipelines (in 0.8.1) * Visualize task timelines in [Comma](https://commaide.com/) (in Comma Complete 2018.5, in Comma Community 2018.7) Planned: * Introspect what tasks and events a given distribution can log * When running on MoarVM, get access to a whole range of VM-level tasks and events too, such as GC runs, thread spawns, file open/close, process spawning, optimization, etc. * Turn on/off what is logged at runtime (socket mode only) ## Providing tasks and events in a distribution Providing tasks and events in your application involves the following steps: 1. Make sure that your `META6.json` contains a `depends` entry for `Log::Timeline`. 2. Create one or more modules whose final name part is `LogTimelineSchema`, which declares the available tasks and events. This will be used for tools to introspect the available set of tasks and events that might be logged, and to provide their metadata. 3. Use the schema module and produce timeline tasks and events in your application code. ### The schema module Your application or module should specify the types of tasks and events it wishes to log. These are specified in one or more modules, which should be registered in the `provides` section of the `META6.json`. The **module name's final component** should be `LogTimelineSchema`. For example, `Cro::HTTP` provides `Cro::HTTP::LogTimelineSchema`. You may provide more than one of these per distribution. Every task or event has a 3-part name: * **Module** - for example, `Cro HTTP` * **Category** - for example, `Client` and `Server` * **Name** - for example, `HTTP Request` These are specified when doing the role for the event or task. To declare an event (something that happens at a single point in time), do the `Log::Timeline::Event`. To declare an task (which happens over time) do the `Log::Timeline::Task` role. ```perl6 unit module MyApp::Log; use Log::Timeline; class CacheExpired does Log::Timeline::Event['MyApp', 'Backend', 'Cache Expired'] { } class Search does Log::Timeline::Task['My App', 'Backend', 'Search'] { } ``` ### Produce tasks and events Use the module in which you placed the events and/or tasks you wish to log. ```perl6 use MyApp::Log; ``` To log an event, simply call the `log` method: ```perl6 MyApp::Log::CacheExpired.log(); ``` Optionally passing extra data as named arguments: ```perl6 MyApp::Log::CacheExpired.log(:$cause); ``` To log a task, also call `log`, but pass a block that will execute the task: ```perl6 MyApp::Log::Search.log: -> { # search is performed here } ``` Named parameters may also be passed to provide extra data: ```perl6 MyApp::Log::Search.log: :$query -> { # search is performed here } ``` ## Collecting data ### Logging to a file in JSON lines format Set the `LOG_TIMELINE_JSON_LINES` environment variable to the name of a file to log to. Each line is an object with the following keys: * `m` - module * `c` - category * `n` - name * `t` - timestamp * `d` - data (an object with any extra data) * `k` - kind (0 = event, 1 = task start, 2 = task end) A task start (kind 1) and task end (2) will also have: * `i` - a unique ID for the task, starting from 1, to allow starts and ends to be matched up An event (kind 0) or task start (kind 1) may also have: * `p` - the parent task ID ### Socket logging Set the `LOG_TIMELINE_SERVER` environment variable to either: * A port number, to bind to `localhost` on that port * A string of the form `host:port`, e.g. `127.0.0.1:5555` **Warning:** Don't expose the socket server to the internet directly; there is no authentication or encryption. If really wishing to expose it, bind it to a local port and then use an SSH tunnel. #### Handshake Upon connection the client *must* send a JSON line consisting of an object that includes the keys: * `min` - the minimum protocol version that the client understands * `max` - the maximum protocol version that the client understands The client *may* include other keys in the object speculatively (for example, if protocol version 3 supports a key "foo", but it speaks anything from 1 to 3, then it may include the key "foo", knowing that a previous version of the server will simply ignore it). In response to this, the server *must* send a JSON line consisting of an object that includes *at most one of the following*: * `ver` - the version number of the protocol that the server will speak, if it is understands any of the versions in the range the client proposed * `err` - an error string explaining why it will not accept the request In the case of sending an `err`, the server *should* close the connection. If the initial communication from the client to the server: * Does not start with a `{` * Does not reach a complete line within 1 megabyte of data Then the server may send a *may* send a JSON line with an object containing `err` and then close the connection. #### Protocol version 1 No additional configuration keys from the client are recognized in this version of the protocol. Beyond the initial handshake line, the client should not send anything to the server. The client may close the connection at any time. The server sends JSON lines to the client. This lines are the same as specified for the JSON lines file format.