= Switch to the Jinja2 Template Engine [[Image(https://travis-ci.org/cboos/trac.svg?branch=jinja2-trunk-r15379,link=https://travis-ci.org/cboos/trac,valign=bottom)]] [[Image(https://ci.appveyor.com/api/projects/status/kqgv4awct01hsl7t/branch/jinja2-trunk-r15379?svg=true,link=https://ci.appveyor.com/project/cboos/trac/branch/jinja2,valign=bottom)]] for [log:cboos.git@jinja2-trunk-r15379] \\ [[PageOutline(2-3,Contents)]] == Background **[http://jinja.pocoo.org/2/documentation/ Jinja2]** is a [wikipedia:Web_template_system template engine] that combines the advantages of Genshi (pure Python, nice templates, flexible) and ClearSilver (speed!). A bit of history first... Trac started its life in 2005 as a very reactive web application, as the page content was generated with ClearSilver, a template engine written in C. However, as fast as it was, it had serious quirks, troubleshooting errors was quite difficult, installation on Windows was problematic, etc. Enters Genshi in 2006, which proved to be way more flexible, and more convenient to develop with. It was also way slower, but we were confident that this would eventually improve. Trac has been converted to use Genshi for the 0.11 release (2008), and we're using it ever since. While we managed to keep Genshi memory usage somewhat in control (#6614), the speed was never really adequate, especially for big changesets and for displaying source files over a few thousand lines of code (see TracDev/Performance#Genshi for details). The maintenance of Genshi itself has often proved to be problematic to work with, and some issues remain unsolved (#11184). Hence the proposal to look into an alternative template engine. Jinja2 had always looked like a very serious candidate. Kajiki was briefly considered, but while the performance was on par with Jinja2, it was not mature enough (see [7acf61ba/cboos.git]). As Jinja2 seemed to hold all its promises (see [7d4b6f84/cboos.git]), the migration effort started in this direction beginning of 2016. Besides, the Jinja2 template engine has the peripheral benefit of being used by the Django community: [gmessage:trac-dev/KqWPQWuZ63k/GPfda0_PDgAJ]. == Overview of activities and progress There is an experimental branch which supports this proposal: [source:cboos.git@jinja2]. A mirror is available in [https://github.com/cboos/trac.git github]. This branch has been reworked and prepared for merge on trunk, in [log:cboos.git@jinja2-trunk-r15341]. [=#Status Status] of the branch (2017-01-15): - TODO: merge on trunk (#12639) - DONE: rebase on current trunk - DONE: support templates in plugins (e.g. SpamFilter plugin) - r15353 - ported all Genshi templates from trac/tracopt (10703 Jinja2 lines corresponding to 8059 Genshi lines) - detailed porting guide: **PortingFromGenshiToJinja** - DONE accesskey support (e.g. use `${accesskey("f")}` in templates) - DONE clarify upgrade path for plugins that came to rely on `ITemplateStreamFilter`s? 127/898 plugins (14.1%) on trac-hacks.org use `filter_stream()` -> see [PortingFromGenshiToJinja#ReplacingITemplateStreamFilter replacing ITemplateStreamFilter] * DONE clarify how to handle themeing? -> see HtmlTemplates#Jinjaarchitecture * DONE rewrite tag builders ~~or use lightweight string templates~~? -> [PortingFromGenshiToJinja#tag tag] `Fragment`/`Element` builder API has been reimplemented - DONE hack `ITemplateStreamFilter` support for Jinja2 templates FIXME still a few glitches with that (CDATA gets messed up) - DONE site.html replacement, for example try to reproduce t.e.o customizations -> [./TracInterfaceCustomization] * TODO update l10n guide for plugins [[CookBook/PluginL10N]] See also [googlegroups:trac-dev:fc8d8c0447140110 this Trac-Dev discussion] from 2010, which is still pertinent. While we managed to release Genshi 0.6 since then, the issue is a recurring one, see this recent (2016-01) [gmessage:trac-users:PYqQ4UDRnl8/wg8lQzrGDAAJ Genshi question] on Trac-Users. The topic is now (Feb / March 2016) again discussed on [gdiscussion:trac-dev:KqWPQWuZ63k trac-dev]. == Experimenting with Jinja2 (2.8) Nothing like a few numbers to make a point. These are the timings for rendering !r3871 (//don't try this one here, please//), with the diff options set to side-by-side, in place modifications, served by tracd on my development laptop. This generates a page weighing from 11.5MB (Genshi) to 10.3MB (Jinja2) in size. || ||||||||= Genshi ||||||||||||||||||||||||= Jinja2 || || ||||= stream ||||= blob ||||= generate ||||= stream (5) ||||= stream (10) ||||= stream (100) ||||= stream (1000)||||= blob || || ||= //1st//||= 2nd ||= //1st// ||= 2nd ||=//1st//||= 2nd ||=//1st//||= 2nd ||=//1st//||= 2nd ||=//1st//||= 2nd ||=//1st//||= 2nd ||=//1st//||= 2nd || ||= TTFB ||//16600//||**15670**|| //25530//|| 24460||//2020//|| 1160||//2030//|| 1160||//2070//|| 1170||//2150//|| **1230**||//2280//|| 1230||//3370//|| 2450|| ||= CD ||//16090//||**16050**|| //387//|| 1240||//2820//|| 2720||//2730//|| 2640||//2730//|| 2680||//2470//|| **2390**||//2350//|| 2250|| //488//|| 1060|| |---------------------------------------------------------------------------------------------------------------------------------------------------------------------------- ||= Total||//32690//||**31720**|| //25917//|| 25700||//4840//|| 3880||//4760//|| 3800||//4800//|| 3850||//4620//|| **3620**||//4630//|| 3480||//3850//|| 3510|| ||= Rdr || --|| --|| //23533//||**23273**|| --|| --|| --|| --|| --|| --|| --|| --|| --|| --||//1477//||**1263**|| Some explanations: - Genshi (0.7 with speedups) - ''stream'' means we return content via `Stream.serialize` and send chunks as we have them - ''blob'' means we first generate all the content in memory with `Stream.render`, then send it at once - Jinja2 (2.8 with [http://www.pocoo.org/projects/markupsafe/ speedups]) - ''generate'' means we use `Template.generate` and send chunks as we have them - ''stream'' means we use the `TemplateBuffer` wrapper on the above, which groups a few chunks (given by the number in parentheses) together before we send them; for a chunk size of **100**, we get the best compromise: still a very low TTFB and a reduced Content download time; actually the sweet spot is probably between 10 and 100, and will most certainly depend on the actual content (I just tested 75 which gives 1160/2430 for example) - ''blob'' means we first generate all the content in memory with `Template.render` - both: - ''1st'', is the time in ms for the first request, sent right after a server restart - 2nd, is the time in ms for the second request, sent just after the first (usually the 3rd and subsequent requests would show the same results as this 2nd request) We measure: - TTFB (Time to first byte), as given by Chrome network panel in the developer window - CD (Content download), idem - Rdr (template rendering time), mostly significant for the "blob" method otherwise it also takes the network latency into account All values are given in milliseconds. Note that even if the total "blob" time seems better than the total "stream" one, the lower TTFB is nevertheless a major benefit for the streaming variant, as this means the secondary requests can start earlier. In this case, it can finish before the main request. In addition, while I didn't measure precisely the memory usage, Genshi made the python.exe process jump from 109MB to 239MB while rendering the request (blob). The memory seems to be freed afterwards (there were no concurrent requests). By contrast, with Jinja2 the memory spike was 106MB to 126MB. In another experiment, I used the [pypi:memory_profiler] on Windows, which provided the following results when rendering a big changeset, for a rendered page weighing 4.48MB (it was a side-by-side diff): {{{ Genshi xhtml: 293.612 total (load=0.017, generate=0.017, filter=0.000, render=293.578) Filename: d:\Trac\repos\trunk\trac\web\chrome.py Line # Mem usage Increment Line Contents ================================================ 1283 101.6 MiB 0.0 MiB @profile 1284 def genshi(): 1285 101.6 MiB 0.0 MiB buffer = StringIO() 1286 101.6 MiB 0.0 MiB t5 = time.time() 1287 101.6 MiB 0.0 MiB stream.render(method, doctype=doctype, out=buffer, 1288 153.2 MiB 51.6 MiB encoding='utf-8') 1289 158.0 MiB 4.9 MiB gs = buffer.getvalue().translate(_translate_nop, 1290 158.0 MiB 0.0 MiB _invalid_control_chars) 1291 158.0 MiB 0.0 MiB t6 = time.time() 1292 158.0 MiB 0.0 MiB show_times('Genshi', t2 - t1, t4 - t3, t5a - t4a, t6 - t5, 1293 158.1 MiB 0.0 MiB method) 1294 158.1 MiB 0.0 MiB return gs }}} vs. {{{ Line # Mem usage Increment Line Contents ================================================ 1255 101.6 MiB 0.0 MiB @profile 1256 def jinja(mode='render'): 1257 101.6 MiB 0.0 MiB if jtemplate: 1258 101.6 MiB 0.0 MiB j5 = time.time() 1259 101.6 MiB 0.0 MiB if mode == 'render': 1260 111.1 MiB 9.4 MiB js = jtemplate.render(jdata) 1261 111.1 MiB 0.0 MiB j5a = time.time() 1262 115.4 MiB 4.3 MiB js = js.encode('utf-8') \ 1263 115.4 MiB 0.0 MiB .translate(_translate_nop, 1264 106.7 MiB -8.7 MiB _invalid_control_chars) 1265 106.7 MiB 0.0 MiB j6 = time.time() 1266 106.7 MiB 0.0 MiB show_times('Jinja2', j2 - j1, 0, j5a - j5, j6 - j5a, 1267 106.7 MiB 0.0 MiB 'html') 1268 106.7 MiB 0.0 MiB return js }}} In summary, this means that for the big problematic pages, we can easily have a 10x speedup and more, by migrating to Jinja2, and this with a much lighter memory footprint. For smaller pages, the speed-up is between 5x to 10x as well. == Genshi to Jinja2 Migration Some systematic comparison of the Genshi and Jinja2 template syntax can be seen in PortingFromGenshiToJinja#Changesinthetemplatesyntax (that page was modeled after the old PortingFromClearSilverToGenshi page). See also PortingFromGenshiToJinja/Example for a full example presented side-by-side. [=#jinjachecker] To facilitate the creation of error-free Jinja2 templates for HTML (or XML), we also wrote a utility called [PortingFromGenshiToJinja/Checker jinjachecker], which helps troubleshoot the most common nesting problems.