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Author SHA1 Message Date
epriestley
f8ebc71b8f Replace the chart in Maniphest Reports with a chart driven by Facts
Summary:
Depends on D20485. Ref T13279. This removes the ad-hoc charting in Maniphest and replaces it with a Facts-based chart.

(To do this, we build a dashboard panel inline and render it.)

Test Plan: {F6412720}

Reviewers: amckinley

Reviewed By: amckinley

Subscribers: yelirekim

Maniphest Tasks: T13279

Differential Revision: https://secure.phabricator.com/D20486
2019-05-22 04:44:10 -07:00
epriestley
06778ea550 Separate the "configuration" and "evaluation" phases of chart functions
Summary:
Depends on D20446. Currently, chart functions are both configured through arguments and evaluated through arguments. This sort of conflates things and makes some logic more difficult than it should be.

Instead:

  - Function arguments are used to configure function behavior. For example, `scale(2)` configures a function which does `f(x) => 2 * x`.
  - Evaluation is now separate, after configuration.

We can get rid of "sourceFunction" (which was basically marking one argument as "this is the thing that gets piped in" in a weird magical way) and "canEvaluate()" and "impulse".

Sequences of functions are achieved with `compose(u, v, w)`, which configures a function `f(x) => w(v(u(x)))` (note order is left-to right, like piping `x | u | v | w` to produce `y`).

The new flow is:

  - Every chartable function is `compose(...)` at top level, and composes one or more functions. `compose(x)` is longhand for `id(x)`. This just gives us a root/anchor node.
  - Figure out a domain, through various means.
  - Ask the function for a list of good input X values in that domain. This lets function chains which include a "fact" with distinct datapoints tell us that we should evaluate those datapoints.
  - Pipe those X values through the function.
  - We get Y values out.
  - Draw those points.

Also:

  - Adds `accumluate()`.
  - Adds `sum()`, which is now easy to implement.
  - Adds `compose()`.
  - All functions can now always evaluate everywhere, they just return `null` if they are not defined at a given X.
  - Adds repeatable arguments for `compose(f, g, ...)` and `sum(f, g, ...)`.

Test Plan: {F6409890}

Reviewers: amckinley

Reviewed By: amckinley

Subscribers: yelirekim

Differential Revision: https://secure.phabricator.com/D20454
2019-05-19 16:54:53 -07:00
epriestley
70c643c685 Simplify implementation of "pure" Chart functions
Summary:
Depends on D20445. Ref T13279. I'm not sure what the class tree of functions actually looks like, and I suspect it isn't really a tree, so I'm hesitant to start subclassing. Instead, try adding some `isSomethingSomething()` methods.

We have some different types of functions:

  # Some functions can be evaluated anywhere, like "constant(3)", which always evaluates to 3.
  # Some functions can't be evaluated anywhere, but have values everywhere in some domain. This is most interesting functions, like "number of open tasks". These functions also usually have a distinct set of interesting points, and are constant between those points (any count of anything, like "open points in project" or "tasks closed by alice", etc).
  # Some functions can be evaluated almost nowhere and have only discrete values. This is most of the data we actually store, which is just "+1" when a task is opened and "-1" when a task is closed.

Soon, I'd like to be able to show ("all tasks" - "open tasks") and draw a chart of closed tasks. This is somewhat tricky because the two datasets are of the second class of function (straight lines connecting dots) but their "interesting" x values won't be the same (users don't open and close tasks every second, or at the same time).

The "subtract X Y" function will need to be able to know that `subtract "all tasks" 3` and `subtract "all tasks" "closed tasks"` evaluate slightly differently.

To make this worse, the data we actually //store// is of the third class of function (just the "derivative" of the line chart), then we accumulate it in the application after we pull it out of the database. So the code will need to know that `subtract "derivative of all tasks" "derivative of closed tasks"` is meaningless, or the UI needs to make that clear, or it needs to interpret it to mean "accumulate the derivative into a line first".

Anyway, I'll sort that out in future changes. For now, simplify the easy case of functions in class (1), where they're just actual functions.

Add "shift(function, number)" and "scale(function, number)". These are probably like "mul" and "add" but they can't take two functions -- the second value must always be a constant. Maybe these will go away in the future and become `add(function, constant(3))` or something?

Test Plan: {F6382885}

Reviewers: amckinley

Reviewed By: amckinley

Subscribers: yelirekim

Maniphest Tasks: T13279

Differential Revision: https://secure.phabricator.com/D20446
2019-04-23 12:29:45 -07:00
epriestley
edaf17f3fe Make chart function argument parsing modular/flexible with 900 pages of error messages
Summary:
Depends on D20444. Ref T13279. Instead of ad-hoc parsing and messages, formalize chart function arguments.

Also, add a whole lot of extra type checking.

Test Plan: Built and charted various functions with various valid and invalid argument lists, got sensible-seeming errors and results.

Reviewers: amckinley

Reviewed By: amckinley

Subscribers: yelirekim

Maniphest Tasks: T13279

Differential Revision: https://secure.phabricator.com/D20445
2019-04-23 12:26:32 -07:00