Summary: Ref T13279. Slightly simplify domain handling by putting all the "[x, y]" stuff in an Interval class. I'm planning to do something similar for ranges next, so this should make that easierr.
Test Plan: Viewed chart, saw same chart as before.
Reviewers: amckinley
Reviewed By: amckinley
Subscribers: yelirekim
Maniphest Tasks: T13279
Differential Revision: https://secure.phabricator.com/D20502
Summary:
Ref T13279. Adds client-side support for rendering function labels on charts, then labels every function as important data.
Works okay on mobile, although I'm not planning to target mobile terribly heavily for v0.
Test Plan: {F6438860}
Reviewers: amckinley
Reviewed By: amckinley
Subscribers: yelirekim
Maniphest Tasks: T13279
Differential Revision: https://secure.phabricator.com/D20500
Summary:
Ref T13279. This adds support for:
- Datasets can have types, like "stacked area".
- Datasets can have multiple functions.
- Charts can store dataset types and datasets with multiple functions.
- Adds a "stacked area" dataset.
- Makes D3 actually draw a stacked area chart.
Lots of rough edges here still, but the result looks slightly more like it's supposed to look.
D3 can do some of this logic itself, like adding up the area stacks on top of one another with `d3.stack()`. I'm doing it in PHP instead because I think it's a bit easier to debug, and it gives us more options for things like caching or "export to CSV" or "export to API" or rendering a data table under the chart or whatever.
Test Plan: {F6427780}
Reviewers: amckinley
Reviewed By: amckinley
Subscribers: yelirekim
Maniphest Tasks: T13279
Differential Revision: https://secure.phabricator.com/D20498
Summary:
Ref T13279. For now, we need to render burndowns from both Maniphest (legacy) and Projects (new prototype).
Consolidate this logic into a "BurndownChartEngine". I plan to expand this to work a bit like a "SearchEngine", and serve as a UI layer on top of the raw chart features.
The old "ChartEngine" is now "ChartRenderingEngine".
Test Plan:
- Viewed burndowns ("burnups") in Maniphest.
- Viewed burndowns in Projects.
- Saw the same chart.
Reviewers: amckinley
Reviewed By: amckinley
Subscribers: yelirekim
Maniphest Tasks: T13279
Differential Revision: https://secure.phabricator.com/D20496
Summary:
Depends on D20484. Ref T13279. Allows a chart to render as a panel.
Configuring these is currently quite low-level (you have to manually copy/paste a chart key in), but works well enough.
Test Plan: {F6412708}
Reviewers: amckinley
Reviewed By: amckinley
Subscribers: yelirekim
Maniphest Tasks: T13279
Differential Revision: https://secure.phabricator.com/D20485
Summary:
Ref T13279. This changes the chart controller:
- if we have no arguments, build a demo chart and redirect to it;
- otherwise, load the specified chart from storage and render it.
This mostly prepares for "Chart" panels on dashboards.
Test Plan: Visited `/fact/chart/`, got redirected to a chart from storage.
Reviewers: amckinley
Reviewed By: amckinley
Subscribers: yelirekim
Maniphest Tasks: T13279
Differential Revision: https://secure.phabricator.com/D20483
Summary:
Depends on D19121. Ref T13083. Group transactions and show groups in the debugging view.
Fix some of the most obvious issues with fact generation:
- No more 0-point facts.
- Engine can now generate at least one of every type of fact.
Test Plan: Generated facts, viewed them in the debugging view, fact generation largely appeared to align with reality. No more "no facts in storage" facts.
Subscribers: yelirekim
Maniphest Tasks: T13083
Differential Revision: https://secure.phabricator.com/D19122
Summary:
Depends on D19119. Ref T13083. This is probably still very buggy, but I'm planning to build support tools to make debugging facts easier shortly.
This generates a large number of datapoints, at least, and can render some charts which aren't all completely broken in an obvious way.
Test Plan: Ran `bin/fact analyze --all`, got some charts with lines that went up and down in the web UI.
Subscribers: yelirekim
Maniphest Tasks: T13083
Differential Revision: https://secure.phabricator.com/D19120
Summary:
Ref T13083. Facts has a fair amount of weird hardcoding and duplication of responsibilities. Reduce this somewhat: no more hard-coded fact aggregates, no more database-driven list of available facts, etc. Generally, derive all objective truth from FactEngines. This is more similar to how most other modern applications work.
For clarity, hopefully: rename "FactSpec" to "Fact". Rename "RawFact" to "Datapoint".
Split the fairly optimistic "RawFact" table into an "IntDatapoint" table with less stuff in it, then dimension tables for the object PHIDs and key names. This is primarily aimed at reducing the row size of each datapoint. At the time I originally wrote this code we hadn't experimented much with storing similar data in multiple tables, but this is now more common and has worked well elsewhere (CustomFields, Edges, Ferret) so I don't anticipate this causing issues. If we need more complex or multidimension/multivalue tables later we can accommodate them. The queries a single table supports (like "all facts of all kinds in some time window") don't make any sense as far as I can tell and could likely be UNION ALL'd anyway.
Remove all the aggregation stuff for now, it's not really clear to me what this should look like.
Test Plan: Ran `bin/fact analyze` and viewed web UI. Nothing exploded too violently.
Subscribers: yelirekim
Maniphest Tasks: T13083
Differential Revision: https://secure.phabricator.com/D19119
Summary: Use `PhutilClassMapQuery` where appropriate.
Test Plan: Browsed around the UI to verify things seemed somewhat working.
Reviewers: epriestley, #blessed_reviewers
Reviewed By: epriestley, #blessed_reviewers
Subscribers: epriestley, Korvin
Differential Revision: https://secure.phabricator.com/D13429
Summary: All classes should extend from some other class. See D13275 for some explanation.
Test Plan: `arc unit`
Reviewers: epriestley, #blessed_reviewers
Reviewed By: epriestley, #blessed_reviewers
Subscribers: epriestley, Korvin
Differential Revision: https://secure.phabricator.com/D13283
Summary:
This commit doesn't change license of any file. It just makes the license implicit (inherited from LICENSE file in the root directory).
We are removing the headers for these reasons:
- It wastes space in editors, less code is visible in editor upon opening a file.
- It brings noise to diff of the first change of any file every year.
- It confuses Git file copy detection when creating small files.
- We don't have an explicit license header in other files (JS, CSS, images, documentation).
- Using license header in every file is not obligatory: http://www.apache.org/dev/apply-license.html#new.
This change is approved by Alma Chao (Lead Open Source and IP Counsel at Facebook).
Test Plan: Verified that the license survived only in LICENSE file and that it didn't modify externals.
Reviewers: epriestley, davidrecordon
Reviewed By: epriestley
CC: aran, Korvin
Maniphest Tasks: T2035
Differential Revision: https://secure.phabricator.com/D3886
Summary: For any count fact, allow a chart to be drawn. INCREDIBLY POWERFUL DATA ANALYSIS PLATFORM.
Test Plan: Drew a chart of object counts. Drew the Maniphest burn chart.
Reviewers: vrana, btrahan
Reviewed By: btrahan
CC: aran
Maniphest Tasks: T1562
Differential Revision: https://secure.phabricator.com/D3099
Summary: Not totally sure about this but I think it's okay?
Test Plan: Loaded /fact/, got a more readable page.
Reviewers: vrana, btrahan
Reviewed By: vrana
CC: aran
Maniphest Tasks: T1562
Differential Revision: https://secure.phabricator.com/D3090
Summary:
Some facts are aggregations of other facts. For example, we may compute how many times each macro is used in each object as a "raw fact":
Dnnn uses macro "psyduck" 6 times.
But we want to present this data in aggregate form, e.g. "order macros by popularity". We can do this at runtime and it probably won't be too awful a query, but we can also aggregate it cheaply:
Macro "psyduck" is used 3920 times across all objects.
...and then do a query like "select macros ordered by usage".
"Aggregate" facts support facts like this. The aggregate facts I've implemented are:
- Count of all objects.
- Count of objects of type X.
- Last time facts were updated.
These clearly fit the "aggregate" facts template well. I'm not 100% sure macros do. We can use this table to answer a question like "What are the most popular macros, ordered by use?" We can also use it to answer a question like "What are the most popular macros in the last 6 months?", if we build a specific fact for that. But we can't use it to answer a question like "What are the most popular macros between times X and Y?". Maybe that's important; maybe not.
This seems like a good fit for at least some types of facts.
I'll de-magic the keys a bit in the next diff.
Test Plan: Ran the engines and got some aggregated facts about other facts.
Reviewers: vrana, btrahan
Reviewed By: vrana
CC: aran
Maniphest Tasks: T1562
Differential Revision: https://secure.phabricator.com/D3089
Summary:
Basic "Fact" application with some storage, part of a daemon, and a control binary.
= Goals =
The general idea is that we have various statistics we'd like to compute, like the frequency of image macros, reviewer responsiveness, task close rates, etc. Computing these on page load is expensive and messy. By building an ETL pipeline and running it in a daemon, we can precompute statistics and just pull them out of "stats" tables.
One way to do this is just to completely hard-code everything, e.g. have a daemon that runs every hour which issues a big-ass query and dumps results into a table per-fact or per fact-group. But this has a bunch of drawbacks: adding new stuff to the pipeline is a pain, various fact aggregators can't share much code, updates are slow and expensive, we can never build generic graphs on top of it, etc.
I'm hoping to build an ETL pipeline which is generic enough that we can use it for most things we're interested in without needing schema changes, and so that installs can use it also without needing schema changes, while still being specific enough that it's fast and we can build useful stuff on top of it. I'm not sure if this will actually work, but it would be cool if it does so I'm starting pretty generally and we'll see how far I get. I haven't built this exact sort of thing before so I might be way off.
I'm basing the whole thing on analyzing entire objects, not analyzing changes to objects. So each part of the pipeline is handed an object and told "analyze this", not handed a change. It pretty much deletes all the old data about that thing and then writes new data. I think this is simpler to implement and understand, and it protects us from all sorts of weird issues where we end up with some kind of garbage in the DB and have to wipe the whole thing.
= Facts =
The general idea is that we extract "facts" out of objects, and then the various view interfaces just report those facts. This change has on type of fact, a "raw fact", which is directly derived from an object. These facts are concerete and relate specifically to the object they are derived from. Some examples of such facts might be:
D123 has 9 comments.
D123 uses macro "psyduck" 15 times.
D123 adds 35 lines.
D123 has 5 files.
D123 has 1 object.
D123 has 1 object of type "DREV".
D123 was created at epoch timestamp 89812351235.
D123 was accepted by @alincoln at epoch timestamp 8397981839.
The fact storage looks like this:
<factType, objectPHID, objectA, valueX, valueY, epoch>
Currently, we supprot one optional secondary key (like a user PHID or macro PHID), two optional integer values, and an optional timestamp. We might add more later. Each fact type can use these fields if it wants. Some facts use them, others don't. For instance, this diff adds a "N:*" fact, which is just the count of total objects in the system. These facts just look like:
<"N:*", "PHID-xxxx-yyyy", ...>
...where all other fields are ignored. But some of the more complex facts might look like:
<"DREV:accept", "PHID-DREV-xxxx", "PHID-USER-yyyy", ..., ..., nnnn> # User 'yyyy' accepted at epoch 'nnnn'.
<"FILE:macro", "PHID-DREV-xxxx", "PHID-MACR-yyyy", 17, ..., ...> # Object 'xxxx' uses macro 'yyyy' 17 times.
Facts have no uniqueness constraints. For @vrana's reviewer responsiveness stuff, we can insert multiple rows for each reviewer, e.g.
<"DREV:reviewed", "PHID-DREV-xxxx", "PHID-USER-yyyy", nnnn, ..., mmmm> # User 'yyyy' reviewed revision 'xxxx' after 'nnnn' seconds at 'mmmm'.
The second value (valueY) is mostly because we need it if we sample anything (valueX = observed value, valueY = sample rate) but there might be other uses. We might need to add "objectB" at some point too -- currently we can't represent a fact like "User X used macro Y on revision Z", so it would be impossible to compute macro use rates //for a specific user// based on this schema. I think we can start here though and see how far we get.
= Aggregated Facts =
These aren't implemented yet, but the idea is that we can then take the "raw facts" and compute derived/aggregated/rollup facts based on the raw fact table. For example, the "count" fact can be aggregated to arrive at a count of all objects in the system. This stuff will live in a separate table which does have uniqueness constraints, and come in the next diff.
We might need some kind of time series facts too, not sure about that. I think most of our use cases today are covered by raw facts + aggregated facts.
Test Plan: Ran `bin/fact` commands and verified they seemed to do reasonable things.
Reviewers: vrana, btrahan
Reviewed By: vrana
CC: aran, majak
Maniphest Tasks: T1562
Differential Revision: https://secure.phabricator.com/D3078
