From 31883f2fee2b0cc7a756ba381f95d47b7de54664 Mon Sep 17 00:00:00 2001 From: Marcus Fedarko Date: Fri, 19 Jun 2020 16:54:14 -0700 Subject: [PATCH] Add feature metadata support, and some UI / code fixes (#183) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit * ENH: Add initial stab at circular layout Needs further inspection and testing, and of course the JS needs to be modified to draw "vertical lines" as for the rect. layout (but now with curves, etc.) but this seems like a decent start * DOC: add details re circ layout alg and TODOs * ENH: draw circ layout arcs (not beziers yet), etc Lotta ugly hacky code in this commit. Will get things working then from there backtrack to make things pretty and well tested before the PR. This is looking actually pretty nice. Will probably need to fix the "shape" of the circular layout though LOL * MNT: don't generate arc info for root (circlayout) * BUG: still store pos data for root * MNT: on 2nd thought draw "arc" for c.layout root consistency will be useful, and we can adjust later as needed also improved js docs for # lines needed * DOC: document c0/c1 stuff for circ layout better * BUG: Actually draw tips for circ layout turns out that the reason things in this layout looked 'incomplete', off, etc. was that xc0 and yc0 info was only being stored for internal nodes, giving the dubious impression that penultimate nodes were tips. With this, remaining circular layout TODOs are 1) drawing fancy curved arcs for internal nodes 2) adjust the UI to get the thick line stuff to work properly with the circular layout 3) clean up code, esp messy portions (like maybe store xc0/xc1 info in the layoutToCoordSuffix object somehow, by making it interpret an array of two suffixes as start and endpoints) 3) add tests * MNT: Don't store root arc info; smooth arcs; docs Improved documentation on *why* attempting to draw an arc for the root is kinda useless. Hopefully shouldn't have to update that again ._. I split up the line segment for the circular layout into two, one connecting an internal node's endpoint with its arc start and another connecting the node endpoint with its arc endpoint. This makes the layout look A LOT better; it's still essentially an approximation, though. What we need to do is hijack the WebGL code to draw bezier curves (starting and ending at the arc start/endpoints, and passing through the internal node endpoint) instead. Uh, hopefully that isn't too difficult? LOL I guess we'll see. * DOC: improve circ layout coordinate docs Addressing some ambiguities, and fixing an error w prev commit docs * DOC: add note re: internal node arcs + cornercases * BUG/MNT: Proper thick lines in c.layout; code chgs I moved the general "corner-computing" code from within Empress.thickenSameSampleLines() to its own function within VectorOps. This allows a lot more code reuse, but I think we could make the code even more compact by allowing _addTriangleCoords() to accept {tL: ..., ...} objects directly. * MNT: Make _addTriangleCoords accept corners obj ... Instead of accepting individual corner coordinates. This makes life a bit easier, or at least makes the code a bit cleaner (since now we can funnel the output from VectorOps.computeBoxCorners() straight into Empress._addTriangleCoords()). Of course it's worth noting that making the circular layout draw the arcs with curved lines/beziers (and not just as the disjointed line segments) will probably mean we'll have to abandon this particular function for that particular use case. for now, tho, this looks pretty nice * for reference, update qzv * ENH: Match up feature metadata w/ tree nodes Progress on #130. Next up is testing this (... and un-breaking the tests in general, my bad). * TST: Un-break rect layout tests The tests were broken due to me renaming lowestchildyr, etc. to lowest_child_yr. Fixed. * TST: Un-break matching tests due to #130 work All that was really needed was just unpacking a third return value (feature metadata). I added a few tests that this value was None, but we'll test this in more depth shortly. * STY: clean JS line-thickening code Some repeated declarations ("var corners", "var x1", etc.) were making jshint angry, so I addressed them (for corners, by declaring it up front at the start of the function in question; for the x1/y1/ etc. stuff, by not even assigning them explicitly to variables and just by passing them directly to the function I was calling). * STY: Minor flake8 fixes The build should be working now :100: * TST: Add fm for testing; don't name internal nodes the "don't bother naming internal nodes" change comes from the fact that now that step is done after matching, anyway, so there's no point in keeping this line in the tests * TST: add basic feature metadata matching test #130 * TST: test feature metadata mismatch error :) #130 * TST: test partial feature dropping in fm matching done with this part, gonna move on to taxonomy handling / etc. next * ENH: Add taxonomy-splitting func signature/docs (still need to accidentally implement it lol :100:) * ENH: Draft taxonomy splitting code skeleton the actual meat of this function isn't done yet, but this should at least handle most (but not all, Error condition number 3 is still unimplemented) of the funky corner cases. * STY: flake8 line spacing * ENH: validate ; ct. and do tax splitting #130 * TST: add basic tax splitting infrastructure tests * MNT: tax splitting->new module; allow uneven ; cts Lots of (untested) changes here. Need to test this stuff... * BUG/TST: Fix "Level" col bug, and add tests for it tldr code was lowercasing all col names and checking to see if any started with "Level", which obvs wouldn't be the case since "Level" would get turned to "level". Fixed problem. * MNT: Put Level cols at start of fm * TST: add partial tax splitting "good" case test at least we know it works know lol * TST: Finish "good" tax-splitting test * TST: test funky tax splitting corner case * TST/MNT: warn on no-; case and add test * ENH: add UI skeleton for f. metadata coloring #130 * ENH/DOC: add fancy notes for coloring tabs :D:D:D * ENH: Chuck feat. md over to JS; populate selectors So, now we have access to feature metadata in the Empress JS object, and the selectors in the feature metadata coloring tab have the f.m. fields populated there. * MNT: Make feat. md. data transfer simpler has advantage of preserving column order ;) * DOC: Add inline docs to layout + anim. panels * DOC: update QZV for reference * ENH: Add initial, hacky f.m. coloring prototype! :D:D:D:D * STY: fix prettier issues * BUG: Make code work, and fix UI, if no f.m. passed UI could use some extra work -- maybe set the initial "hidden" on the fm button directly from jinja2, if possible. but this at least works? * BUG: remove ref to missing UI ele in JS this makes unchecking the feature metadata checkbox work properly -- what was happening was the fHideChk thing was getting referenced, which (silently from the user perspective ...) crashed the "close" function, which prevented the tree from being reset and redrawn. js, amirite * STY: fix flake8 spacing pbm * DOC: Describe use of f.m. in CLI docs * ENH: color internal nodes with uniform child f.md * Update qzv * circular layout * Add QZV including BOTH circ layout AND fm coloring :D :D :D :D :D :D * Show feature metadata for tips in select-node menu Helps a lot for #130 * ENH: improve node hover menu UI * Consistent table styling, better frozen header col satisfied for now * Show a table of feature metadata in the node hover menu; improve the existing styling in the menu (#166) * Show feature metadata for tips in select-node menu Helps a lot for #130 * ENH: improve node hover menu UI * Consistent table styling, better frozen header col satisfied for now * STY: prettier fixes * TST: add docstrings for f.m. matching tests * ENH: fix minor grammar issue in node menu * MNT: Clean code for name_internal_nodes() - unlabled -> unlabeled - use str.format() rather than % for formatting node names (seems to be preferred in modern python code) * BUG: fix one last "unlabled" * TST / BUG: Explicitly disallow nonunique tip names I thought we were already checking for this, but turns out we weren't. * ENH/TST: warn when internal nodes share name Per advice from @ElDeveloper worth noting that the current check is bugged: it doesn't check the root node's name. We should fix that. * BUG/TST: Also consider root node name for warnings * TST/BUG: raise error if tip name in int node names Another annoying corner case it's good to detect and handle. Note that we purposefully ignore "None"-named nodes, since those will be replaced with unique IDs later. * MNT: Rename name_internal_nodes() more accurately Because: 1) it wasn't just renaming internal nodes 2) it also assigns missing branch lengths (although this is NOT tested as far as I can tell) * MNT: fill_missing_node_data -> _node_names SO: turns out that the validation code i added a while back re: nodes with missing branch lengths was unnecessary, since name_internal_nodes() already handled that. Well, at this point the simplest thing to do is just remove that functionality from name_internal_nodes() (now named fill_missing_node_names()), since the validation should already preclude missing branch lengths. (If this is annoying, we can set things so that missing branch lengths are replaced with 0 or 1 or something, but I personally don't think that's a great idea.) * STY: add extra blank line for flake8 * BUG: Handle EmpressNode* corner case should be a temporary solution, but I don't anticipate this being a problem for the majority of use cases. * MNT: explicitly ignore None-named tips in matching I don't believe this was doing anything before, but it could have ostensibly been a problem if there was a feature named None (like, the object None) in the table. (And I don't *think* that will ever happen since we're getting these tables from QIIME 2, which uses biom-format, which treats IDs as strings.) * TST: test corner-case feature metadata matching Some funky things re: 1) root of the tree being allowed to have fm and 2) duplicate internal nodes being allowed to have fm * STY: minor fixes to _plot.py - Use a safer variable name than "file", which is a reserved keyword in some versions of python: https://stackoverflow.com/a/24942363/10730311 (I doubt that this would cause problems since I'm pretty sure Empress only supports python 3, but we might as well be safe.) - Use more reasonable-looking indentation for a jinja2 call * fix typo in biom table js * MNT: remove logging stmt I left in accidentally * ENH: Add UI skeleton for two fm coloring options * fix a grammar issue * MNT: Refactor to store fmd as tip/int node md This will make implementing the different JS "coloring methods" a lot easier. Need to update the tests. * TST: Verify that taxonomy whtspcs handled right I think this addresses #129, at least to the extent that we can handle this without messing with QIIME 2. But I'm not closing it until I can verify (if poss.) that the original error is rectified. * TST: test specific SILVA annotation from #129 * fix typos * TST: start fixing old match tests re: t/i fm split * TST: fix more matching tests; imprv matching docs ... since i forgot about the 'moving tax splitting to match_inputs()' change i made earlier today :P * TST: Finish un-breaking old matching tests Still need to, like, add on new tests that explicitly verify that the splitting stuff works, but these changes essentially do that already * DOC: bump min q2 version to 2019.10 see #129 * TST: add clarifying comment re: #129 test * Finish up merging stuff * add back index.html gen stuff i accidentally deleted during merging but we need this ._. * temporarily rm circ layout (it'll be added back when #180 is merged in) * MNT: Abstract pretty sample table generation ... And use the new function for both leaf *and* internal node selection menus. The new function is a static method, so it should be pretty simple to test (knock on wood). Need to actually test this though!!!! This addresses one of the TODOs on #169. * Remove #tree-container CSS block: close #168 This was getting on my nerves, so I just knocked it out now ._. * DOC/MNT: clear tableEle HTML in s.tbl.gen; docs * TST: Test tip/int node md cols, and details Crucially, this includes the "just internal nodes" case :) * TST: Un-break core tests ... By adding the tip/int metadata stuff to DICT_A. We should definitely add tests that make sure that this info is properly transmitted at some point, tho. * TST: test feature metadata and _to_dict() * BUG: be consistent w/ "EmpressNode" btwn python/js We might just wanna not special-case this altogether tbh * STY: fix js/py style issues - unbreak travis :D * BUG: enable selecting the root node #169 * update qzv * Fix typo * ENH: Show int node fmd, simplify fm table code Also fixed a few typos ("uniqe" -> "unique") and bolded the warning about duplicate node IDs. The code for this is p messy (although it does demonstrably work :D) so I gotta fix this... * MNT: Abstract fmd table gen code to sep func ... so we can use it for both internal nodes and tips. TODO, need to add docs + tests for this ... * DOC: Add docs for makeFeatureMetadataTable() * DOC: make plugin setup fm usage desc more faithful * BUG: Remove cursor: pointer on text/number inputs I think this should make it clearer to the user that you can type into these fields... * ENH: Add int. node coloring method; refactoring F. metadata coloring method is now configurable!!! only took me forever ._. * STY: js style fixes * STY: fix variable re-defining pbm * ENH: On changing fm method, change checkbox desc. The wording could probably use some work, but this does the job. * MNT: tidy up side panel code a bit * BUG: Use linethickening for fm; readd desc updates (The reason I held off on the line-thickening stuff is it's all "thicken same sample lines" and stuff, but at this point we're hijacking all of the sample coloring stuff to color by whatever.) * DOC: update fm TODO comment * MNT: Abstract out a LOT of side-panel-handler code ... into shared functions between the feature / sample coloring code. This should have the side effect of making testing easier. I think? In any case, the documentation seems a bit nicer :) * DOC: update _updateColoring re funky method param at least justifies why it's kinda wack * BUG: prevent sample/ftr opts simultaneously shown getting that commit title down to 50 characters was a struggle, but you get the idea. This involved adding back some functions to side panel handler, but these are a lot more clear and concise so I don't mind them as much. or maybe i'm just biased because i wrote them lol * ENH: clean node selection menu; improve descs #169 Another thing ticked off for #169. Something i thought of just now - would be good to say "Name" instead of "ID" for nodes maybe? skbio treenode treats these as Names not IDs, and according to wikipedia (https://en.wikipedia.org/wiki/Newick_format) newick seems to mostly consider these as "names" also. * STY: fix JS style; redo qzv * MNT: Rename _validate_data: makes behavior clearer Addresses a comment from @kwcantrell * DOC: Clean up _to_dict fm usage Things should be a lot clearer now. Addresses points brought up in @kwcantrell's review * Clarify more comments in _to_dict * BUG: Reset fm coloring "update" btn in selcallback Addresses a comment from @ElDeveloper * STY: Rename Empress ctx var name for closure This is somewhat more consistent. Addresses an @ElDeveloper comment. * STY: minor prettier thing * MNT: Rename hover-* stuff to menu-* Addresses comment from @kwcantrell * Update empress/support_files/js/vector-ops.js Co-authored-by: Yoshiki Vázquez Baeza * Only use {{ feature_metadata_columns }} once addresses @ElDeveloper comment * Add + update copyright headers to all python files * Update empress/taxonomy_utils.py Co-authored-by: Yoshiki Vázquez Baeza * Simplify max ; ct computation Co-authored-by: Yoshiki Vázquez Baeza * Avoid unnecessary set() conversions Addresses suggestion from @ElDeveloper * Use @ElDeveloper suggestion for tax splitting code * Update qzv * Revert "Use @ElDeveloper suggestion for tax splitting code" This reverts commit ce8e26ccd95c40917a1b0207cfde9dbed92fa1b6. * ... update qzv from old logic * unbreak circ layout js test * Un-break python test Thanks @esayyari for debugging this! Co-authored-by: kcantrel Co-authored-by: Yoshiki Vázquez Baeza --- README.md | 2 +- docs/moving-pictures/empress-tree.qzv | Bin 667123 -> 707834 bytes empress/__init__.py | 3 +- empress/_plot.py | 8 +- empress/core.py | 67 ++-- empress/plugin_setup.py | 9 +- empress/support_files/css/empress.css | 72 +++-- empress/support_files/js/biom-table.js | 2 +- empress/support_files/js/canvas-events.js | 23 +- empress/support_files/js/drawer.js | 4 +- empress/support_files/js/empress.js | 162 ++++++++-- empress/support_files/js/select-node-menu.js | 300 ++++++++++++----- .../support_files/js/selection-callback.js | 1 + .../support_files/js/side-panel-handler.js | 256 +++++++++++---- empress/support_files/js/vector-ops.js | 9 +- .../templates/animate-panel.html | 5 + .../templates/empress-template.html | 31 +- .../support_files/templates/side-panel.html | 53 ++- empress/taxonomy_utils.py | 146 +++++++++ empress/tools.py | 94 ++++-- empress/tree.py | 76 ++++- tests/python/test_core.py | 36 ++- tests/python/test_integration.py | 1 + tests/python/test_taxonomy_utils.py | 305 ++++++++++++++++++ tests/python/test_tools.py | 212 ++++++++++-- tests/python/test_tree.py | 87 +++-- tests/test-circular-layout-computation.js | 18 +- 27 files changed, 1655 insertions(+), 327 deletions(-) create mode 100644 empress/taxonomy_utils.py create mode 100644 tests/python/test_taxonomy_utils.py diff --git a/README.md b/README.md index e5fa82f06..24baa7772 100644 --- a/README.md +++ b/README.md @@ -6,7 +6,7 @@ Empress is a fast and scalable phylogenetic tree viewer. ## Installation Before following these instructions, make sure your QIIME 2 conda environment -is activated (a version of at least 2019.1 is required). Then, run the +is activated (a version of at least **2019.10** is required). Then, run the following commands: ```bash diff --git a/docs/moving-pictures/empress-tree.qzv b/docs/moving-pictures/empress-tree.qzv index fc4586fc37239250fc4e1a450a46598351b96cc2..fc9735c6a29d6ede0c7058c0154bd23f31616f68 100644 GIT binary patch delta 332107 zcmbrlWmr_-`|l6Z-CZKm-OVT{As`4ycT0D}CWKKyP(WH*LRyq?NC5#!r5Rx8?uKE8 zGwS*N&N=_<|2x;m&v~$)%v}35_j<4Qy6=1KwdWYhb(O&jXscsjQlg=u;iCPB9MwL> zCE)x(fQClOfrci6`qb7&M95BD%7$OW&Psw`Ox#wSU)tVIieFg7MnuY5Sj1XLT2#=+ z(ay%%+t<}wz|~f~(g^Cs&_@(HX>fs~yytduigENht%#@W`!@9mQSYpFk%rE^Z>xfX zPpyX0^6DPoXl9r8i7}4>M@q^ey)nQ7k|@#avCscjcpz|4K|*k~6MS>MYjJ~wgKj*# zTWjtbcr$T-qgSgq&*ZU-)sX`(JjywlLzcFyLm(}WjM&n|k_5%CNFS=}5@*V&B`YX| zq=Vp3-1mutZz?WwetO6g`aK3rD$h;^>?KdmdpLEphPuf@CY@Rx zDSNWNeCTXyzAWKX08@~=UKWMOZEarEvLv!ZC(6j*AnDthbbj*aX{ro$1ed=#R<%)m z>hO6bR~fpm)iWBgU*#?d0XsI&&%k{&=B=&rJJMiK(;Hh!SgQ^9K(VP#! zg=G%Acz-DoXVFmBLPjOxaVRzxQdOp_KL=Y=fp`W@0$`;8WCAFt`|$s!{&BL zN-SLJ#(VlgidzHu)W;`cZE$|_lm%A-)b|z4A+N0IVT6%32X5Z|C4*sLI@l)lt6ByV 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zb%^vnRLEA;zv|`BeSg1!trYhGLUsX?-&XXWI~jfhb?NU8#JbtcKqz^$i1ugh&ELRE zpH1#N0{>3LVZR0bnS%2hSRQasAf<+zgSq)XdyN~7|4hyK{ea4a`#b=WsPmV`f2QdC z26_l0+^zBaZ30To8;#ljRQb=`o!?Jz^uO;D)LmRH{^b9e(({|2zIjJJB-MlYw*LN1 zSozIj*}glA01QcAK?iTuLR!{MrTv-0@|(Jgjd(X3-zK9#5?V0-6%20Rf9AIQhU16b z2M)<}!M@e@&m@W8K#_<$0wEs3_#Z|8Oq=-4t^Im;?rjnUKH^QuZ__8h3k^VQ+VRDE z5FptTsQ=OK&s2lo+F>u None: - # TODO: do not ignore the feature metadata when specified by the user - if feature_metadata is not None: - feature_metadata = feature_metadata.to_dataframe() if pcoa is not None and pcoa.features is not None: # select the top N most important features based on the vector's @@ -48,6 +45,9 @@ def plot(output_dir: str, tree: NewickFormat, feature_table: pd.DataFrame, sample_metadata = sample_metadata.to_dataframe() + if feature_metadata is not None: + feature_metadata = feature_metadata.to_dataframe() + # path to the actual newick file with open(str(tree)) as file: t = parse_newick(file.readline()) diff --git a/empress/core.py b/empress/core.py index 3a535ad89..f4647b4a4 100644 --- a/empress/core.py +++ b/empress/core.py @@ -1,5 +1,5 @@ # ---------------------------------------------------------------------------- -# Copyright (c) 2016-2019, empress development team. +# Copyright (c) 2016-2020, empress development team. # # Distributed under the terms of the Modified BSD License. # @@ -7,9 +7,8 @@ # ---------------------------------------------------------------------------- from empress.tree import Tree -from empress.tools import name_internal_nodes, match_inputs +from empress.tools import fill_missing_node_names, match_inputs -import warnings import pkg_resources import os import pandas as pd @@ -97,8 +96,6 @@ def __init__(self, tree, table, sample_metadata, self.samples = sample_metadata.copy() if feature_metadata is not None: - warnings.warn('Feature metadata is currently not supported', - UserWarning) self.features = feature_metadata.copy() else: self.features = None @@ -109,21 +106,28 @@ def __init__(self, tree, table, sample_metadata, if self.base_url is None: self.base_url = './' - self._validate_data(ignore_missing_samples, - filter_missing_features, - filter_unobserved_features_from_phylogeny) + self._validate_and_match_data( + ignore_missing_samples, + filter_missing_features, + filter_unobserved_features_from_phylogeny + ) if self.ordination is not None: + # Note that tip-level metadata is the only "feature metadata" we + # send to Emperor, because internal nodes in the tree should not + # correspond to features in the table (and thus to arrows in a + # biplot). self._emperor = Emperor( self.ordination, mapping_file=self.samples, - feature_mapping_file=self.features, + feature_mapping_file=self.tip_md, ignore_missing_samples=ignore_missing_samples, remote='./emperor-resources') else: self._emperor = None - def _validate_data(self, ignore_missing_samples, filter_missing_features, - filter_unobserved_features_from_phylogeny): + def _validate_and_match_data(self, ignore_missing_samples, + filter_missing_features, + filter_unobserved_features_from_phylogeny): # remove unobserved features from the phylogeny if filter_unobserved_features_from_phylogeny: self.tree = self.tree.shear(set(self.table.columns)) @@ -132,17 +136,17 @@ def _validate_data(self, ignore_missing_samples, filter_missing_features, self._bp_tree = list(self.tree.B) self.tree = Tree.from_tree(to_skbio_treenode(self.tree)) - name_internal_nodes(self.tree) + fill_missing_node_names(self.tree) # Note that the feature_table we get from QIIME 2 (as an argument to # this function) is set up such that the index describes sample IDs and # the columns describe feature IDs. We transpose this table before # sending it to tools.match_inputs() and keep using the transposed # table for the rest of this visualizer. - self.table, self.samples = match_inputs(self.tree, self.table.T, - self.samples, self.features, - ignore_missing_samples, - filter_missing_features) + self.table, self.samples, self.tip_md, self.int_md = match_inputs( + self.tree, self.table.T, self.samples, self.features, + ignore_missing_samples, filter_missing_features + ) def copy_support_files(self, target=None): """Copies the support files to a target directory @@ -238,8 +242,8 @@ def _to_dict(self): # Also add vertical bar coordinate info for the rectangular layout, # and start point & arc coordinate info for the circular layout if not node.is_tip(): - tree_data[i]["highestchildyr"] = node.highestchildyr - tree_data[i]["lowestchildyr"] = node.lowestchildyr + tree_data[i]["highestchildyr"] = node.highest_child_yr + tree_data[i]["lowestchildyr"] = node.lowest_child_yr if not node.is_root(): tree_data[i]["arcx0"] = node.arcx0 tree_data[i]["arcy0"] = node.arcy0 @@ -258,6 +262,30 @@ def _to_dict(self): # Convert sample metadata to a JSON-esque format sample_data = self.samples.to_dict(orient='index') + # Convert feature metadata, similarly to how we handle sample metadata. + # If the user passed in feature metadata, self.features won't be None. + # (We don't actually use any data from self.features at this point in + # the program since it hasn't had taxonomy splitting / matching / etc. + # done.) + if self.features is not None: + # If we're in this block, we know that self.tip_md and self.int_md + # are both DataFrames. They have identical columns, so we can just + # use self.tip_md.columns when setting feature_metadata_columns. + # (We don't use self.features.columns because stuff like taxonomy + # splitting will have changed the columns from what they initially + # were in some cases.) + feature_metadata_columns = list(self.tip_md.columns) + # Calling .to_dict() on an empty DataFrame just gives you {}, so + # this is safe even if there is no tip or internal node metadata. + # (...At least one of these DFs should be populated, though, since + # none of the feature IDs matching up would have caused an error.) + tip_md_json = self.tip_md.to_dict(orient='index') + int_md_json = self.int_md.to_dict(orient='index') + else: + feature_metadata_columns = [] + tip_md_json = {} + int_md_json = {} + # TODO: Empress is currently storing all metadata as strings. This is # memory intensive and won't scale well. We should convert all numeric # data/compress metadata. @@ -284,6 +312,9 @@ def _to_dict(self): 'names_to_keys': names_to_keys, 'sample_data': sample_data, 'sample_data_type': sample_data_type, + 'tip_metadata': tip_md_json, + 'int_metadata': int_md_json, + 'feature_metadata_columns': feature_metadata_columns, 'obs_data': obs_data, 'names': names, 'layout_to_coordsuffix': layout_to_coordsuffix, diff --git a/empress/plugin_setup.py b/empress/plugin_setup.py index c83e9fc72..fc57cd0aa 100644 --- a/empress/plugin_setup.py +++ b/empress/plugin_setup.py @@ -1,12 +1,11 @@ # ---------------------------------------------------------------------------- -# Copyright (c) 2016-2019, empress development team. +# Copyright (c) 2016-2020, empress development team. # # Distributed under the terms of the Modified BSD License. # # The full license is in the file LICENSE, distributed with this software. # ---------------------------------------------------------------------------- - from ._plot import plot from qiime2.plugin import Plugin, Metadata, Bool, Citations, Int, Range @@ -64,8 +63,10 @@ 'be automatically filtered out of the visualization.' ), 'feature_metadata': ( - 'Feature metadata. Not currently used for anything, but will ' - 'be soon.' + 'Feature metadata. Can be used to color nodes (tips and/or ' + 'internal nodes) in the tree. Features described in the metadata ' + 'that are not present in the tree will be automatically filtered ' + 'out of the visualization.' ), # Parameter descriptions adapted from q2-emperor's # --p-ignore-missing-samples flag. diff --git a/empress/support_files/css/empress.css b/empress/support_files/css/empress.css index 37629da74..b8932f554 100644 --- a/empress/support_files/css/empress.css +++ b/empress/support_files/css/empress.css @@ -28,7 +28,6 @@ input[type=text], input[type=number], select { background-color: white; height: 28px; border: none; - cursor: pointer; outline: none; border-radius: 3px; padding-left: 5px; @@ -241,9 +240,9 @@ label:hover .tooltip { } -/* hover box */ +/* node selection menu box */ -#hover-box { +#menu-box { position: fixed; border: 1px solid transparent; background-color: lightgray; @@ -251,13 +250,13 @@ label:hover .tooltip { padding: 20px; } -#hover-box:hover { +#menu-box:hover { opacity: 1.0; box-shadow: 10px 10px 40px rgba(0, 0, 0, 0.2); border: 1px solid lightgray; } -#hover-box::after, #hover-box:hover::before { +#menu-box::after, #menu-box:hover::before { content: " "; position: absolute; border-style: solid; @@ -265,50 +264,50 @@ label:hover .tooltip { margin-top: -10px; } -#hover-box:after { +#menu-box:after { top: 40px; border-width: 10px; border-color: transparent white transparent transparent; } -#hover-box:hover:before { +#menu-box:hover:before { top: 39px; border-width: 11px; border-color: transparent lightgray transparent transparent; } -#hover-table { +.menu-table { background-color: white; } -#hover-table thead, #hover-table tbody{ +.menu-table thead, .menu-table tbody{ display: block; max-width: 500px; max-height: 300px; overflow: auto; } -#hover-table tr { +.menu-table tr { padding: 0px 15px; } -#hover-table tr td { - vertical-align: top; + +.menu-table tr td { + border: 1px solid lightgray; } -#hover-table tr td p{ +.menu-table tr td p{ text-align: right; } -#hover-table tr td:nth-last-child(1) { +.menu-table tr td:nth-last-child(1) { max-width: 200px; text-overflow: ellipsis; } -#hover-table tr td button:only-child { +.menu-table tr td button:only-child { background-color: lightgray; height: 25px; margin-top: 10px; - border: 0; cursor: pointer; outline: none; padding: 0px 15px; @@ -316,26 +315,27 @@ label:hover .tooltip { font-size: 8pt; } -#hover-table tbody tr td:nth-child(1) { +.menu-box-header-cell { + background-color: white; position: relative; position: -webkit-sticky; /* Safari */ position: sticky; left: 0; } -#hover-table tr td button:only-child:hover { +.menu-table tr td button:only-child:hover { background-color: darkgray; } -#hover-select { +#menu-select { background-color: white; } -.hover-select-container { +.menu-select-container { position: relative; } -.hover-select-container:after { +.menu-select-container:after { position: absolute; content: "\203A"; transform: rotate(90deg); @@ -366,12 +366,6 @@ label:hover .tooltip { height: 100vh; } -#tree-container { - overflow: hidden; - width: 100vw; - height: 100vh; -} - /* This class is added to container and tree-container to keep empress on the * left-hand-side of the screen when combined with Emperor */ @@ -889,6 +883,26 @@ button.close:hover { background-color: gray; } -#hover-table-notes { - font-size: xx-small; +#menu-box-warning { + font-size: small; + font-weight: bold; + max-width: 500px; +} + +#menu-box-notes { + max-width: 500px; + font-size: small; +} + +/* Somewhere else in the CSS adjusts line height and justify-content, + * so we reset these here. + */ +.side-panel-notes { + font-size: small; + line-height: normal !important; + justify-content: start !important; +} + +.indented { + margin-left: 2em; } diff --git a/empress/support_files/js/biom-table.js b/empress/support_files/js/biom-table.js index c79df2060..a3fd283ae 100644 --- a/empress/support_files/js/biom-table.js +++ b/empress/support_files/js/biom-table.js @@ -27,7 +27,7 @@ define([], function () { /** * @type {Object} - * Sample metedata format: + * Sample metadata format: * {sampleID1: {cat1: val, cat2: val, ...}, * sampleID2: {cat1: val, cat2: val, ...}, * ...} diff --git a/empress/support_files/js/canvas-events.js b/empress/support_files/js/canvas-events.js index 453d5af1a..3d0c8f6ea 100644 --- a/empress/support_files/js/canvas-events.js +++ b/empress/support_files/js/canvas-events.js @@ -92,7 +92,7 @@ define(["glMatrix", "SelectedNodeMenu"], function (gl, SelectedNodeMenu) { // draw tree drawer.draw(); - // update the hover node menu + // update the node selection menu selectedNodeMenu.updateMenuPosition(); }; @@ -148,7 +148,7 @@ define(["glMatrix", "SelectedNodeMenu"], function (gl, SelectedNodeMenu) { // draw tree drawer.draw(); - // update the hover node menu + // update the node selection menu selectedNodeMenu.updateMenuPosition(); }; @@ -168,7 +168,7 @@ define(["glMatrix", "SelectedNodeMenu"], function (gl, SelectedNodeMenu) { var closestDist = Infinity; var closestNode = null; var xDist, yDist; - for (var i = 1; i < empress._tree.size; i++) { + for (var i = 1; i <= empress._tree.size; i++) { var node = empress._treeData[i]; var nodeX = empress.getX(node); var nodeY = empress.getY(node); @@ -191,7 +191,7 @@ define(["glMatrix", "SelectedNodeMenu"], function (gl, SelectedNodeMenu) { yDist = e.clientY - nY; var screenDist = Math.sqrt(xDist * xDist + yDist * yDist); if (screenDist < epsilon) { - canvasEvents.placeHoverNodeBox(closeNode.name, false); + canvasEvents.placeNodeSelectionMenu(closeNode.name, false); } } }; @@ -225,7 +225,7 @@ define(["glMatrix", "SelectedNodeMenu"], function (gl, SelectedNodeMenu) { quickSearchBar.innerHTML = nodeId; // show the selected node menu - canvasEvents.placeHoverNodeBox(nodeId); + canvasEvents.placeNodeSelectionMenu(nodeId); // clear possible words menu removeSuggestionMenu(); @@ -302,7 +302,7 @@ define(["glMatrix", "SelectedNodeMenu"], function (gl, SelectedNodeMenu) { // key is pressed if (key.keyCode === 13) { removeSuggestionMenu(); - canvasEvents.placeHoverNodeBox(this.value); + canvasEvents.placeNodeSelectionMenu(this.value); } }; @@ -329,22 +329,23 @@ define(["glMatrix", "SelectedNodeMenu"], function (gl, SelectedNodeMenu) { */ var search = function () { var nodeId = quickSearchBar.value; - canvasEvents.placeHoverNodeBox(nodeId); + canvasEvents.placeNodeSelectionMenu(nodeId); }; searchBtn.onclick = search; }; /** - * Creates a node-hover box for nodeId. If nodeId does not exist, then this - * this method will make the background color of the quick search bar red. + * Creates a node selection menu box for nodeId. If nodeId does + * not exist, then this this method will make the background color of the + * quick search bar red. * This method is call from the both the quick search btn and when the user * clicks on the canvas. * - * @param{String} nodeId The node id to make a node-hover box for. + * @param{String} nodeId The node ID to make a node selection menu box for. * @param{Boolean} moveTree If true, then this method will move the viewing * window of the tree to the node. */ - CanvasEvents.prototype.placeHoverNodeBox = function ( + CanvasEvents.prototype.placeNodeSelectionMenu = function ( nodeId, moveTree = true ) { diff --git a/empress/support_files/js/drawer.js b/empress/support_files/js/drawer.js index 1c84c2c2f..73afca5e6 100644 --- a/empress/support_files/js/drawer.js +++ b/empress/support_files/js/drawer.js @@ -112,7 +112,7 @@ define(["glMatrix", "Camera"], function (gl, Camera) { // buffer object for tree nodes s.nodeVertBuff = c.createBuffer(); - // buffer object for active 'hovered' node + // buffer object for active 'selected' node s.selectedNodeBuff = c.createBuffer(); // buffer object for colored clades @@ -144,7 +144,7 @@ define(["glMatrix", "Camera"], function (gl, Camera) { // canvas needs to be a square in order simplify various calculations // such as zoom/moving tree // set size of canvas to be the larger of the two inorder to fill the - // the available space + // available space this.dim = width > height ? width : height; var can = this.contex_.canvas; can.width = this.dim; diff --git a/empress/support_files/js/empress.js b/empress/support_files/js/empress.js index 259c99fe3..9f37c14b5 100644 --- a/empress/support_files/js/empress.js +++ b/empress/support_files/js/empress.js @@ -1,4 +1,5 @@ define([ + "underscore", "Camera", "Drawer", "Colorer", @@ -6,7 +7,16 @@ define([ "CanvasEvents", "util", "chroma", -], function (Camera, Drawer, Colorer, VectorOps, CanvasEvents, util, chroma) { +], function ( + _, + Camera, + Drawer, + Colorer, + VectorOps, + CanvasEvents, + util, + chroma +) { // The index position of the color array const RED = 0; const GREEN = 1; @@ -28,6 +38,9 @@ define([ * by a node's x2 and y2 coordinates in the data. * @param {String} defaultLayout The default layout to draw the tree with * @param {BIOMTable} biom The BIOM table used to color the tree + * @param {Array} featureMetadataColumns Columns of the feature metadata + * @param {Object} tipMetadata Feature metadata for tips in the tree + * @param {Object} intMetadata Feature metadata for internal nodes in tree * @param {Canvas} canvas The HTML canvas that the tree will be drawn on. */ function Empress( @@ -37,6 +50,9 @@ define([ layoutToCoordSuffix, defaultLayout, biom, + featureMetadataColumns, + tipMetadata, + intMetadata, canvas ) { /** @@ -103,6 +119,24 @@ define([ */ this._biom = biom; + /** + * @type{Array} + * Feature metadata column names. + * @private + */ + this._featureMetadataColumns = featureMetadataColumns; + + /** + * @type{Object} + * Feature metadata: keys are tree node IDs, and values are objects + * mapping feature metadata column names to the metadata value for that + * feature. We split this up into tip and internal node feature + * metadata objects. + * @private + */ + this._tipMetadata = tipMetadata; + this._intMetadata = intMetadata; + /** * @type{Object} * As described above, maps layout names to node coordinate suffixes @@ -144,7 +178,7 @@ define([ this.drawTree(); this._events.setMouseEvents(); var nodeNames = Object.keys(this._nameToKeys); - nodeNames = nodeNames.filter((n) => !n.includes("EmpressNode")); + nodeNames = nodeNames.filter((n) => !n.startsWith("EmpressNode")); nodeNames.sort(); this._events.autocomplete(nodeNames); }; @@ -195,18 +229,18 @@ define([ var leafAndRootCt = this._tree.numleafs() + 1; numLines = leafAndRootCt + 2 * (this._tree.size - leafAndRootCt); } else if (this._currentLayout === "Circular") { - // All internal nodes (excpet root which is just a point) have an + // All internal nodes (except root which is just a point) have an // arc that is made out of 15 small line segments. In addition, all // non-root nodes have an additional line that connects them to - // their parents arc. So the same example above would have + // their parent's arc. So the same example above would have // numLines = 3 + 16 * (5 - 3 - 1) = 19. - // I.E. 3 lines for the leafs and 16*(5 - 3 - 1) lines for the - // internal nodes. The -1 is there because we do not draw a line for - // the root. + // i.e. 3 lines for the leaves and 16 * (5 - 3 - 1) lines for the + // internal nodes. The -1 is there because we do not draw a line + // for the root. var leafCt = this._tree.numleafs(); numLines = leafCt + 16 * (this._tree.size - leafCt - 1); } else { - // the root is not drawn + // the root is not drawn in the unrooted layout numLines = this._tree.size - 1; } @@ -229,7 +263,7 @@ define([ for (var i = 1; i <= tree.size; i++) { var node = this._treeData[i]; - if (!node.name.includes("EmpressNode")) { + if (!node.name.startsWith("EmpressNode")) { coords[coords_index++] = this.getX(node); coords[coords_index++] = this.getY(node); coords.set(node.color, coords_index); @@ -351,7 +385,7 @@ define([ // 2. Draw arc, if this is an internal node (note again that // we're skipping the root) if (this._treeData[node].hasOwnProperty("arcx0")) { - // arcs are create by sampling 15 small lines along the + // arcs are created by sampling 15 small lines along the // arc spanned by rotating (arcx0, arcy0), the line whose // origin is the root of the tree and endpoint is the start // of the arc, by arcendangle - arcstartangle radians. @@ -498,12 +532,10 @@ define([ this.getX(this._treeData[node]) + level, this._treeData[node].highestchildyr, ], - bL: [ this.getX(this._treeData[node]) - level, this._treeData[node].lowestchildyr, ], - bR: [ this.getX(this._treeData[node]) + level, this._treeData[node].lowestchildyr, @@ -533,7 +565,7 @@ define([ var coords = []; this._drawer.loadSampleThickBuf([]); - // define theses variables so jslint does not complain + // define these variables so jslint does not complain var x1, y1, x2, y2, corners; // In the corner case where the root node (located at index tree.size) @@ -593,7 +625,7 @@ define([ // (TODO: this will need to be adapted when the arc is changed // to be a bezier curve) if (this._treeData[node].hasOwnProperty("arcx0")) { - // arcs are create by sampling 15 small lines along the + // arcs are created by sampling 15 small lines along the // arc spanned by rotating arcx0, the line whose origin // is the root of the tree and endpoint is the start of the // arc, by arcendangle - arcstartangle radians. @@ -768,7 +800,7 @@ define([ // colors for the legend var keyInfo = colorer.getMapHex(); - // assign internal nodes to approperiate category based on its children + // assign internal nodes to appropriate category based on its children obs = this._projectObservations(obs); // color tree @@ -780,25 +812,110 @@ define([ return keyInfo; }; + /** + * Color the tree based on a feature metadata column. + * + * @param {String} cat The feature metadata column to color nodes by. + * It's assumed that this is present in + * this._featureMetadataColumns. + * @param {String} color The name of the color map to use. + * @param {String} method Defines how coloring is done. If this is "tip", + * then only tip-level feature metadata will be + * used, and (similar to sample coloring) upwards + * propagation of unique values will be done in + * order to color internal nodes where applicable. + * If this is "all", then this will use both tip and + * internal node feature metadata without doing any + * propagation. If this is anything else, this will + * throw an error. + * + * @return {Object} Maps unique values in this f. metadata column to colors + */ + Empress.prototype.colorByFeatureMetadata = function (cat, color, method) { + // Produce a mapping of unique values in this feature metadata + // column to an array of the feature(s) with each value. + // The coloring method influences how much of the feature metadata + // we'll look at. (While we're at it, validate the coloring method.) + var fmObjs; + if (method === "tip") { + fmObjs = [this._tipMetadata]; + } else if (method === "all") { + fmObjs = [this._tipMetadata, this._intMetadata]; + } else { + throw 'F. metadata coloring method "' + method + '" unrecognized.'; + } + + var uniqueValueToFeatures = {}; + _.each(fmObjs, function (mObj) { + _.mapObject(mObj, function (fmRow, tipID) { + // This is loosely based on how BIOMTable.getObsBy() works. + var fmVal = fmRow[cat]; + if (_.has(uniqueValueToFeatures, fmVal)) { + uniqueValueToFeatures[fmVal].push(tipID); + } else { + uniqueValueToFeatures[fmVal] = [tipID]; + } + }); + }); + + var emp = this; + var sortedUniqueValues = util.naturalSort( + Object.keys(uniqueValueToFeatures) + ); + // convert observation IDs to _treeData keys. Notably, this includes + // converting the values of uniqueValueToFeatures from Arrays to Sets. + var obs = {}; + _.each(sortedUniqueValues, function (uniqueVal, i) { + uniqueVal = sortedUniqueValues[i]; + obs[uniqueVal] = emp._namesToKeys(uniqueValueToFeatures[uniqueVal]); + }); + + // assign colors to unique values + var colorer = new Colorer(color, sortedUniqueValues); + // colors for drawing the tree + var cm = colorer.getMapRGB(); + // colors for the legend + var keyInfo = colorer.getMapHex(); + + // Do upwards propagation only if the coloring method is "tip" + // TODO / NOTE: _projectObservations() sets the .inSample property of + // features that are colored with metadata. This is "wrong," in the + // sense that samples don't really have anything to do with feature + // metadata coloring, but I don't *think* this will impact things + // because I think resetTree() should be called before any other + // coloring operations would be done. However, would be good to test + // things -- or at least to rename a lot of these coloring utilities + // to talk about "groups" rather than "samples", esp. since I think + // animation has the same problem... + if (method === "tip") { + obs = this._projectObservations(obs); + } + + // color tree + this._colorTree(obs, cm); + + return keyInfo; + }; + /** * Finds the branches that are unique to each category in obs * * @param {Object} observations grouped by categories * - * @return {Object} the branches of the tree that are uniqe to category in + * @return {Object} the branches of the tree that are unique to category in obs */ Empress.prototype._projectObservations = function (obs) { var tree = this._tree; var categories = Object.keys(obs); - // assign internal nodes to approperiate category based on its children + // assign internal nodes to appropriate category based on children // iterate using postorder for (var i = 1; i < tree.size; i++) { var node = i; var parent = tree.postorder(tree.parent(tree.postorderselect(i))); - for (j = 0; j < categories.length; j++) { + for (var j = 0; j < categories.length; j++) { category = categories[j]; if (obs[category].has(node)) { this._treeData[node].inSample = true; @@ -960,5 +1077,14 @@ define([ return this._biom.getGradientStep(cat, grad, traj); }; + /** + * Returns an array of feature metadata column names. + * + * @return {Array} + */ + Empress.prototype.getFeatureMetadataCategories = function () { + return this._featureMetadataColumns; + }; + return Empress; }); diff --git a/empress/support_files/js/select-node-menu.js b/empress/support_files/js/select-node-menu.js index 1b28c15bb..dfd4d276b 100644 --- a/empress/support_files/js/select-node-menu.js +++ b/empress/support_files/js/select-node-menu.js @@ -1,4 +1,4 @@ -define([], function () { +define(["underscore", "util"], function (_, util) { function SelectedNodeMenu(empress, drawer) { this.empress = empress; this.drawer = drawer; @@ -8,12 +8,16 @@ define([], function () { SAMPLE_DATA: "s", FEATRUE_DATA: "f", }; - this.table = document.getElementById("hover-table"); - this.box = document.getElementById("hover-box"); - this.sel = document.getElementById("hover-select"); - this.addBtn = document.getElementById("hover-add-btn"); - this.nodeIdLabel = document.getElementById("hover-table-node-id"); - this.notes = document.getElementById("hover-table-notes"); + this.smTable = document.getElementById("menu-sm-table"); + this.box = document.getElementById("menu-box"); + this.sel = document.getElementById("menu-select"); + this.addBtn = document.getElementById("menu-add-btn"); + this.nodeIdLabel = document.getElementById("menu-box-node-id"); + this.notes = document.getElementById("menu-box-notes"); + this.warning = document.getElementById("menu-box-warning"); + this.fmTable = document.getElementById("menu-fm-table"); + this.fmHeader = document.getElementById("menu-fm-header"); + this.smHeader = document.getElementById("menu-sm-header"); this.nodeKeys = null; } @@ -37,14 +41,134 @@ define([], function () { var val = selectMenu.sel.value; selectMenu.sel.options[selectMenu.sel.selectedIndex].remove(); selectMenu.fields.push(val); + selectMenu.smHeader.classList.remove("hidden"); selectMenu.showNodeMenu(); }; this.addBtn.onclick = click; }; + /* + * Creates a HTML table describing sample presence info for a feature. + * + * This is set up as a static method + * (https://stackoverflow.com/a/1635143/10730311) to make testing easier + * (and also because it really doesn't need to depend on the state of this + * object). + * + * @param{Object} ctData Two-dimensional mapping: The keys are the + * sample metadata fields to include in the table, + * and the values are Objects mapping unique values + * in these fields to numbers describing this + * feature's presence for these values. + * e.g. {"body-site": {"gut": 5, "tongue": 2}} + * @param{HTMLElement} tableEle A reference to the element to + * which this method will insert HTML. + * This can just be the return value of + * document.getElementById(). This element's + * innerHTML will be cleared at the start of + * this method. + */ + SelectedNodeMenu.makeSampleMetadataTable = function (ctData, tableEle) { + tableEle.innerHTML = ""; + // loop over all metadata fields the user has decided to show + var sortedFields = util.naturalSort(_.keys(ctData)); + for (var i = 0; i < sortedFields.length; i++) { + var field = sortedFields[i]; + + // Create new rows in menu-table: the first row is for this + // metadata field's "headers" (the unique values in the field, + // e.g. "gut", "tongue", etc. for a field like body site), and + // the second row is for the sample presence data for + // the selected tree node within these unique values. + // + // Each group of two rows additionally has a header cell + // on its leftmost side which spans both the header and data + // rows; this header cell contains the name of the selected + // metadata field, and has some fancy CSS that keeps it frozen + // in place as the user scrolls the table horizontally. + var fieldHeaderRow = tableEle.insertRow(-1); + var fieldHeaderCell = fieldHeaderRow.insertCell(-1); + fieldHeaderCell.innerHTML = "" + field + ""; + fieldHeaderCell.rowSpan = 2; + fieldHeaderCell.classList.add("menu-box-header-cell"); + + var fieldDataRow = tableEle.insertRow(-1); + + // add row values for this metadata field, one column at a time + var categories = util.naturalSort(_.keys(ctData[field])); + for (var j = 0; j < categories.length; j++) { + var categoryHeaderCell = fieldHeaderRow.insertCell(-1); + categoryHeaderCell.innerHTML = + "" + categories[j] + ""; + var categoryDataCell = fieldDataRow.insertCell(-1); + categoryDataCell.innerHTML = ctData[field][categories[j]]; + } + } + }; + + /* + * Creates a HTML table (and a header) describing feature metadata. + * + * This checks to make sure that there actually is feature metadata (and + * that the requested node has feature metadata) before creating things -- + * unlike makeSampleMetadataTable(), it's expected that some nodes may not + * have any feature metadata information, or that feature metadata may not + * have even been provided in the first place. (If this is the case, this + * function will hide the fmHeader and fmTable elements.) + * + * @param{String} nodeName Name of the node to create this table for. + * Duplicate names (for internal nodes) are ok. + * @param{Array} mdCols Array of metadata columns present in each entry in + * mdObj. If this is an empty array, this function + * won't create anything, and will hide the fmHeader + * and fmTable elements -- see above for details. + * @param{Object} mdObj Object describing feature metadata. The keys should + * be node names, and the value for a node name N + * should be another Object mapping the metadata + * columns (in mdCols) to the metadata values for + * the node name N. + * @param{HTMLElement} fmHeader A reference to a header HTML element to + * hide / unhide depending on whether or not + * feature metadata will be shown for this + * node name. + * @param{HTMLElement} fmTable A reference to the
element to + * which this method will insert HTML. + * This element's innerHTML will be cleared at + * the start of this method. + */ + SelectedNodeMenu.makeFeatureMetadataTable = function ( + nodeName, + mdCols, + mdObj, + fmHeader, + fmTable + ) { + fmTable.innerHTML = ""; + // If there is feature metadata, and if this node name is present as a + // key in the feature metadata, then show this information. + // (This uses boolean short-circuiting, so the _.has() should only be + // evaluated if mdCols has a length of > 0.) + if (mdCols.length > 0 && _.has(mdObj, nodeName)) { + var headerRow = fmTable.insertRow(-1); + var featureRow = fmTable.insertRow(-1); + for (var x = 0; x < mdCols.length; x++) { + var colName = mdCols[x]; + var colCell = headerRow.insertCell(-1); + colCell.innerHTML = "" + colName + ""; + var dataCell = featureRow.insertCell(-1); + dataCell.innerHTML = mdObj[nodeName][colName]; + } + fmHeader.classList.remove("hidden"); + fmTable.classList.remove("hidden"); + } else { + fmHeader.classList.add("hidden"); + fmTable.classList.add("hidden"); + } + }; + /** - * Displays the hover node menu. nodeKeys must be set in order to use this - * method. + * Displays the node selection menu. nodeKeys must be set in order to use + * this method. */ SelectedNodeMenu.prototype.showNodeMenu = function () { // make sure the state machine is set @@ -58,19 +182,10 @@ define([], function () { var node = emp._treeData[nodeKeys[0]]; var name = node.name; - // reset node-hover menu - this.table.innerHTML = ""; + this.nodeIdLabel.textContent = "ID: " + node.name; - this.nodeIdLabel.innerHTML = "ID:" + node.name; - - // add id row - this.notes.innerHTML = - "For tip nodes: values represent number of unique samples that " + - "contain the tip node." + - "
" + - "For internal nodes: values represent the number of unique " + - "samples that contain any of its descendants." + - "
"; + this.notes.textContent = ""; + this.warning.textContent = ""; // show either leaf or internal node var t = emp._tree; @@ -80,7 +195,7 @@ define([], function () { this.showInternalNode(); } - // place hover-node menu next to node + // place menu-node menu next to node // otherwise place the (aggregated) node-menu over the root of the tree this.updateMenuPosition(); @@ -89,7 +204,7 @@ define([], function () { }; /** - * Creates the node hover-table for a tip node. nodeKeys must be set in + * Creates the node menu-table for a tip node. nodeKeys must be set in * before this function is called. */ SelectedNodeMenu.prototype.showLeafNode = function () { @@ -98,48 +213,49 @@ define([], function () { throw "showLeafNode(): nodeKeys is not set!"; } - // test to make sure the leaf node is uniqe + // test to make sure the leaf node is unique + // (This should already be enforced in the Python side of things, but + // we may as well be extra cautious.) if (this.nodeKeys.length > 1) { throw "showLeafNode(): Leaf nodes must be unique!"; } // get the name of the tip var name = this.empress._treeData[this.nodeKeys[0]].name; - // loop over all metadata fields the user has added to the hover-table. - this.fields.sort(); - for (var i = 0; i < this.fields.length; i++) { - var field = this.fields[i]; - - /* - * TODO: Once feature metadata is available, this will be used to - * flag if field is from the sample or feature metadata - * - * var type = this.fields[i].type; // tree, sample, or feature - */ - - // create new row in hover-table - row = this.table.insertRow(-1); - cell = row.insertCell(-1); - cell.innerHTML = "" + field + ""; - - // add row values + + // 1. Add feature metadata information (if present for this tip; if + // there isn't feature metadata for this tip, the f.m. UI elements in + // the selected node menu will be hidden) + SelectedNodeMenu.makeFeatureMetadataTable( + name, + this.empress._featureMetadataColumns, + this.empress._tipMetadata, + this.fmHeader, + this.fmTable + ); + + // 2. Add sample presence information for this tip + var ctData = {}; + for (var f = 0; f < this.fields.length; f++) { + var field = this.fields[f]; var obs = this.empress._biom.getObsCountsBy(field, name); - var categories = Object.keys(obs); - categories.sort(); - for (var j = 0; j < categories.length; j++) { - cell = row.insertCell(-1); - cell.innerHTML = - "

" + - categories[j] + - "
" + - obs[categories[j]] + - "

"; + var categories = _.keys(obs); + ctData[field] = {}; + for (var c = 0; c < categories.length; c++) { + var cat = categories[c]; + ctData[field][cat] = obs[cat]; } } + SelectedNodeMenu.makeSampleMetadataTable(ctData, this.smTable); + if (this.fields.length > 0) { + this.notes.textContent = + "This node is a tip in the tree. These values represent the " + + "number of unique samples that contain this node."; + } }; /** - * Creates the node hover-table for internal nodes. nodeKeys must be set in + * Creates the node menu-table for internal nodes. nodeKeys must be set in * before this function is called. Furthermore, if there are more than key * in nodeKeys, then the keys must represent internal nodes with the same * name in the newick tree. @@ -150,16 +266,32 @@ define([], function () { throw "showInternalNode(): nodeKeys is not set!"; } + var isDup = false; if (this.nodeKeys.length > 1) { - this.notes.innerHTML += - "
" + + this.warning.textContent = "Warning: " + this.nodeKeys.length + - " nodes exists with the above id." + - "
" + - "The following table shows the aggregated values from all " + - " nodes with the above id."; + " nodes exist with the " + + "above ID."; + isDup = true; } + + // 1. Add feature metadata information (if present) for this node + // (Note that we allow duplicate-name internal nodes to have + // feature metadata; this isn't a problem) + var name = this.empress._treeData[this.nodeKeys[0]].name; + SelectedNodeMenu.makeFeatureMetadataTable( + name, + this.empress._featureMetadataColumns, + this.empress._intMetadata, + this.fmHeader, + this.fmTable + ); + + // 2. Compute sample presence information for this node. + // (NOTE: this does not prevent "double-counting" samples, so the + // aggregation for duplicate names should be fixed.) + // create object that will map fields to all of their possible values var field, fieldValues, @@ -185,7 +317,7 @@ define([], function () { var nodeKey = this.nodeKeys[i]; // find first and last preorder positions of the subtree spanned - // by the current interal node + // by the current internal node var emp = this.empress; var t = emp._tree; var n = t.postorderselect(nodeKey); @@ -221,26 +353,21 @@ define([], function () { } } - // create hover-table - this.fields.sort(); - for (i = 0; i < this.fields.length; i++) { - // add row - field = this.fields[i]; - row = this.table.insertRow(-1); - cell = row.insertCell(-1); - cell.innerHTML = "" + field + ""; - - fieldValues = Object.keys(fieldsMap[field]); - fieldValues.sort(); - for (j = 0; j < fieldValues.length; j++) { - fieldValue = fieldValues[j]; - cell = row.insertCell(-1); - cell.innerHTML = - "

" + - fieldValue + - "
" + - fieldsMap[field][fieldValue] + - "

"; + SelectedNodeMenu.makeSampleMetadataTable(fieldsMap, this.smTable); + if (this.fields.length > 0) { + if (isDup) { + this.notes.textContent = + "This node is an internal node in the tree with a " + + "duplicated name. These values represent the number of " + + "unique samples that contain any of this node's " + + "descendants, aggregated across all nodes with this " + + "name. (This is buggy, so please don't trust these " + + "numbers right now.)"; + } else { + this.notes.textContent = + "This node is an internal node in the tree. These " + + "values represent the number of unique samples that " + + "contain any of this node's descendants."; } } }; @@ -249,9 +376,12 @@ define([], function () { * Resets the state machine. */ SelectedNodeMenu.prototype.clearSelectedNode = function () { - this.table.innerHTML = ""; + this.smTable.innerHTML = ""; this.nodeKeys = null; this.box.classList.add("hidden"); + this.fmHeader.classList.add("hidden"); + this.fmTable.classList.add("hidden"); + this.fmTable.innerHTML = ""; this.drawer.loadSelectedNodeBuff([]); }; @@ -273,7 +403,7 @@ define([], function () { } // test if nodeKeys represents tips then only one key should exist i.e. - // tips must be uniqe + // tips must be unique var t = emp._tree; if (t.isleaf(t.postorderselect(nodeKeys[0])) && nodeKeys.length > 1) { throw ( @@ -304,9 +434,9 @@ define([], function () { }; /** - * Set the coordinates of the node hover-table. If nodeKeys was set to a - * single node, then the hover-table will be placed next to that node. - * Otherwise, the hover-table will be placed next to the root of the tree. + * Set the coordinates of the node menu box. If nodeKeys was set to a + * single node, then the box will be placed next to that node. + * Otherwise, the box will be placed next to the root of the tree. */ SelectedNodeMenu.prototype.updateMenuPosition = function () { if (this.nodeKeys === null) { diff --git a/empress/support_files/js/selection-callback.js b/empress/support_files/js/selection-callback.js index aacf65245..ac2cc7c32 100644 --- a/empress/support_files/js/selection-callback.js +++ b/empress/support_files/js/selection-callback.js @@ -6,6 +6,7 @@ // if there's any coloring setup remove it, and re-enable the update button sPanel.sUpdateBtn.classList.remove("hidden"); +sPanel.fUpdateBtn.classList.remove("hidden"); legend.clearAllLegends(); empress.resetTree(); diff --git a/empress/support_files/js/side-panel-handler.js b/empress/support_files/js/side-panel-handler.js index 64a65dc6e..1002c5dfb 100644 --- a/empress/support_files/js/side-panel-handler.js +++ b/empress/support_files/js/side-panel-handler.js @@ -1,4 +1,4 @@ -define(["Colorer"], function (Colorer) { +define(["underscore", "Colorer"], function (_, Colorer) { // class name for css tags var COLLAPSE_CLASS = "collapsible"; /** @@ -41,13 +41,23 @@ define(["Colorer"], function (Colorer) { this.sLineWidth = document.getElementById("sample-line-width"); this.sUpdateBtn = document.getElementById("sample-update"); + // feature metadata GUI components + this.fChk = document.getElementById("feature-chk"); + this.fSel = document.getElementById("feature-options"); + this.fAddOpts = document.getElementById("feature-add"); + this.fColor = document.getElementById("feature-color"); + this.fLineWidth = document.getElementById("feature-line-width"); + this.fUpdateBtn = document.getElementById("feature-update"); + this.fMethodChk = document.getElementById("fm-method-chk"); + this.fMethodDesc = document.getElementById("fm-method-desc"); + // layout GUI components this.layoutDiv = document.getElementById("layout-div"); // uncheck button this.sHideChk.checked = false; - // used in event closers + // used in event closures var panel = this; // hides the side menu @@ -70,72 +80,124 @@ define(["Colorer"], function (Colorer) { } /** - * Sets the components of the samples panel back to there default value - */ - SidePanel.prototype.__samplePanelReset = function () { - // set color map back to default - this.sColor.value = "discrete-coloring-qiime"; - - // uncheck button - this.sHideChk.checked = false; - - // set default branch length back to 1 - var thickenBranch = document.getElementById("sample-line-width"); - this.sLineWidth.value = 1; - - // hide update button - this.sUpdateBtn.classList.add("hidden"); - }; - - /** - * Sets the components of the samples panel back to there default value - * and hides the additional options + * Utility function that resets various HTML elements, then resets the + * tree and its legends. + * + * This is intended to be used when the user un-checks the "Color by..." + * checkbox for sample / feature metadata coloring. + * + * @param{Object} eleNameToProperties Maps strings (defining the name of a + * HTMLElement which is saved as an + * attribute of SidePanel, e.g. "sChk") + * to another Object, which maps + * property names of this attribute to + * the desired value to which this + * element's property should be set. + * e.g. {sChk: {checked: false}} + * @param{Array} elesToHide Array of HTMLElements to hide. Each of the + * elements in this array will have "hidden" added + * to its classList. */ - SidePanel.prototype.__samplePanelClose = function () { - // disable sample check box - this.sChk.checked = false; - - // disable the sample category select - this.sSel.disabled = true; - - // hide the additional options - this.sAddOpts.classList.add("hidden"); - - // reset panel - this.__samplePanelReset(); - - //reset tree + SidePanel.prototype._resetTab = function (eleNameToProperties, elesToHide) { + var sp = this; + _.each(eleNameToProperties, function (properties, eleName) { + _.each(properties, function (propVal, prop) { + sp[eleName][prop] = propVal; + }); + }); + _.each(elesToHide, function (ele) { + ele.classList.add("hidden"); + }); + // Reset tree and then clear legends this.empress.resetTree(); this.empress.drawTree(); - - // clear legends this.legend.clearAllLegends(); }; + /* Resets the sample metadata coloring tab. */ + SidePanel.prototype._resetSampleTab = function () { + this._resetTab( + { + sChk: { checked: false }, + sSel: { disabled: true }, + sColor: { value: "discrete-coloring-qiime" }, + sHideChk: { checked: false }, + sLineWidth: { value: 1 }, + }, + [this.sAddOpts, this.sUpdateBtn] + ); + }; + + /* Resets the feature metadata coloring tab. */ + SidePanel.prototype._resetFeatureTab = function () { + this._resetTab( + { + fChk: { checked: false }, + fSel: { disabled: true }, + fColor: { value: "discrete-coloring-qiime" }, + fLineWidth: { value: 1 }, + fMethodChk: { checked: true }, + }, + [this.fAddOpts, this.fUpdateBtn] + ); + // Since we reset fMethodChk above to its "default" of being checked, + // we also update fMethodDesc to be consistent. Note that updating + // fMethodDesc here is technically unnecessary, since + // updateFeatureMethodDesc() will be called anyway when expanding the + // feature metadata coloring tab again. However, we do this here just + // so the state of the page can remain consistent, even if the user + // won't notice due to most of the feature tab (everything under + // fAddOpts) being hidden. + this.updateFeatureMethodDesc(); + }; + /** - * Updates/redraws the tree + * Resets and then re-colors the tree, using an arbitrary "coloring + * function" as well as a few other configurable things. + * + * This function was designed to encapsulate shared code between the sample + * and feature metadata coloring settings. (There is definitely more work + * to be done on removing shared code, but this is a start.) + * + * @param{String} colorMethodName The name of a method of SidePanel to call + * to re-color the tree: for example, + * "_colorSampleTree". (Passing the actual + * method as an argument seems to cause + * problems due to "this" not working + * properly. This was the easiest solution.) + * @param{lwInput} HTMLElement An with type="number" from which + * we'll get the .value indicating the line + * width to use when thickening lines. + * @param{updateBtn} HTMLElement This element will be hidden at the end of + * this function. It should correspond to the + * "Update" button for the sample or feature + * metadata coloring tab. */ - SidePanel.prototype._updateSample = function () { + SidePanel.prototype._updateColoring = function ( + colorMethodName, + lwInput, + updateBtn + ) { this.empress.resetTree(); // clear legends this.legend.clearAllLegends(); // color tree - this._colorSampleTree(); + this[colorMethodName](); - var lWidth = this.sLineWidth.value; + var lWidth = lwInput.value; if (lWidth !== 1) { this.empress.thickenSameSampleLines(lWidth - 1); } this.empress.drawTree(); // hide update button - this.sUpdateBtn.classList.add("hidden"); + updateBtn.classList.add("hidden"); }; /** - * Colors the tree + * Colors the tree based on the sample metadata coloring settings. */ SidePanel.prototype._colorSampleTree = function () { var colBy = this.sSel.value; @@ -146,6 +208,21 @@ define(["Colorer"], function (Colorer) { this.legend.addColorKey(colBy, keyInfo, "node", false); }; + /** + * Colors the tree based on the feature metadata coloring settings. + */ + SidePanel.prototype._colorFeatureTree = function () { + var colBy = this.fSel.value; + var col = this.fColor.value; + var coloringMethod = this.fMethodChk.checked ? "tip" : "all"; + var keyInfo = this.empress.colorByFeatureMetadata( + colBy, + col, + coloringMethod + ); + this.legend.addColorKey(colBy, keyInfo, "node", false); + }; + /** * Redraws the tree with a different layout. */ @@ -219,7 +296,7 @@ define(["Colorer"], function (Colorer) { * Initializes sample components */ SidePanel.prototype.addSampleTab = function () { - // for use in closers + // for use in closures var sp = this; var i, opt; @@ -238,25 +315,21 @@ define(["Colorer"], function (Colorer) { // toggle the sample/color map selectors this.sChk.onclick = function () { if (sp.sChk.checked) { + sp._resetFeatureTab(); sp.sSel.disabled = false; sp.sAddOpts.classList.remove("hidden"); sp.sUpdateBtn.classList.remove("hidden"); } else { - sp.__samplePanelClose(); + sp._resetSampleTab(); } }; - this.sSel.onchange = function () { - sp.sUpdateBtn.classList.remove("hidden"); - }; - - this.sColor.onchange = function () { - sp.sUpdateBtn.classList.remove("hidden"); - }; - - this.sLineWidth.onchange = function () { + var showUpdateBtn = function () { sp.sUpdateBtn.classList.remove("hidden"); }; + this.sSel.onchange = showUpdateBtn; + this.sColor.onchange = showUpdateBtn; + this.sLineWidth.onchange = showUpdateBtn; // deterines whether to show features not in samples this.sHideChk.onclick = function () { @@ -265,7 +338,78 @@ define(["Colorer"], function (Colorer) { }; this.sUpdateBtn.onclick = function () { - sp._updateSample(); + sp._updateColoring( + "_colorSampleTree", + sp.sLineWidth, + sp.sUpdateBtn + ); + }; + }; + + SidePanel.prototype.updateFeatureMethodDesc = function () { + if (this.fMethodChk.checked) { + this.fMethodDesc.textContent = + "With this checkbox setting, only tip metadata will be " + + "used: internal nodes where all descendants have the same " + + "feature metadata value are themselves considered to have " + + "that value."; + } else { + this.fMethodDesc.textContent = + "With this checkbox setting, both tip and internal node " + + "metadata will be used, without any sort of upwards " + + '"propagation."'; + } + }; + + /** + * Initializes feature metadata coloring components + */ + SidePanel.prototype.addFeatureTab = function () { + var sp = this; + + var i, opt; + // add feature metadata categories / "columns" + var selOpts = this.empress.getFeatureMetadataCategories(); + for (i = 0; i < selOpts.length; i++) { + opt = document.createElement("option"); + opt.value = selOpts[i]; + opt.innerHTML = selOpts[i]; + this.fSel.appendChild(opt); + } + + // The color map selector + Colorer.addColorsToSelect(this.fColor); + + // toggle the sample/color map selectors + this.fChk.onclick = function () { + if (sp.fChk.checked) { + sp._resetSampleTab(); + sp.updateFeatureMethodDesc(); + sp.fSel.disabled = false; + sp.fAddOpts.classList.remove("hidden"); + sp.fUpdateBtn.classList.remove("hidden"); + } else { + sp._resetFeatureTab(); + } + }; + + var showUpdateBtn = function () { + sp.fUpdateBtn.classList.remove("hidden"); + }; + this.fSel.onchange = showUpdateBtn; + this.fColor.onchange = showUpdateBtn; + this.fLineWidth.onchange = showUpdateBtn; + this.fMethodChk.onchange = function () { + sp.updateFeatureMethodDesc(); + showUpdateBtn(); + }; + + this.fUpdateBtn.onclick = function () { + sp._updateColoring( + "_colorFeatureTree", + sp.fLineWidth, + sp.fUpdateBtn + ); }; }; diff --git a/empress/support_files/js/vector-ops.js b/empress/support_files/js/vector-ops.js index 8cf7616a9..99b400de6 100644 --- a/empress/support_files/js/vector-ops.js +++ b/empress/support_files/js/vector-ops.js @@ -44,9 +44,6 @@ define([], function () { * if theta is the rotating amount, then angle * is defined as {"cos": cos(theta), "sin": sin(theta)} - * @param {Boolean} over if true rotate point in positve sine direction - * if false rotate point in negative sine direction - * * @return {Array} */ function rotate(point, angle) { @@ -120,11 +117,13 @@ define([], function () { tL = rotate(tL, angle); tL = translate(tL, x1, y1); - //f find bottom right of box + // find bottom right of box tR = [length, -1 * amount]; tR = rotate(tR, angle); tR = translate(tR, x1, y1); + // Idea of returning this as an object instead of a 2-D array based on + // https://stackoverflow.com/questions/2917175/return-multiple-values-in-javascript#comment2969172_2917186 return { tL: tL, tR: tR, bL: bL, bR: bR }; } @@ -133,6 +132,6 @@ define([], function () { magnitude: magnitude, rotate: rotate, translate: translate, - computeBoxCorners, + computeBoxCorners: computeBoxCorners, }; }); diff --git a/empress/support_files/templates/animate-panel.html b/empress/support_files/templates/animate-panel.html index 4f7e12606..ac04655ab 100644 --- a/empress/support_files/templates/animate-panel.html +++ b/empress/support_files/templates/animate-panel.html @@ -1,6 +1,11 @@ - -
+ +

@@ -109,7 +113,9 @@

var tArr = new Uint8Array({{ tree }}); var tree = new BPTree(tArr, {{ names }}); - var canvas = document.getElementById('tree-surface') + var fmCols = {{ feature_metadata_columns }}; + + var canvas = document.getElementById('tree-surface'); var biom = new BIOMTable( {{ obs_data }}, @@ -123,6 +129,9 @@

{{ layout_to_coordsuffix | tojson }}, '{{ default_layout }}', biom, + fmCols, + {{ tip_metadata | tojson }}, + {{ int_metadata | tojson }}, canvas ); empress.initialize(); @@ -135,6 +144,10 @@

var sPanel = new SidePanel(document.getElementById('side-panel'), empress, legend); sPanel.addSampleTab(); + if (fmCols.length > 0) { + sPanel.addFeatureTab(); + document.getElementById("fmOpenButton").classList.remove("hidden"); + } sPanel.addLayoutTab(); // create animator state machine diff --git a/empress/support_files/templates/side-panel.html b/empress/support_files/templates/side-panel.html index 3e15d0241..4bc18a5d3 100644 --- a/empress/support_files/templates/side-panel.html +++ b/empress/support_files/templates/side-panel.html @@ -10,8 +10,13 @@ - + + + + + diff --git a/empress/taxonomy_utils.py b/empress/taxonomy_utils.py new file mode 100644 index 000000000..5707d43c1 --- /dev/null +++ b/empress/taxonomy_utils.py @@ -0,0 +1,146 @@ +# ---------------------------------------------------------------------------- +# Copyright (c) 2016-2020, empress development team. +# +# Distributed under the terms of the Modified BSD License. +# +# The full license is in the file LICENSE, distributed with this software. +# ---------------------------------------------------------------------------- + +import warnings +import pandas as pd + + +class TaxonomyError(Exception): + pass + + +class TaxonomyWarning(Warning): + pass + + +def split_taxonomy(feature_metadata): + """ Attempts to find a taxonomy column and split it into taxonomic levels. + + If one of the columns in the feature metadata DataFrame (ignoring case) + is named "Taxon" or "Taxonomy", this will return a new DataFrame where + the column in question is removed and replaced with S + 1 new columns, + where S is the maximum number of semicolons present in any feature's + taxonomy. + + Basically, this lets us convert taxonomy annotations to an easier-to-work- + with format; instead of having a single column for taxonomy, we'll have one + column per taxonomy level. This will make life easier. + + Parameters + ---------- + feature_metadata : pd.DataFrame + DataFrame describing feature metadata. + + Returns + ------- + taxsplit_feature_metadata : pd.DataFrame + A version of the input feature metadata split as described above. (If + none of the columns in the feature metadata were identified as being + taxonomy columns, this DataFrame is identical to the input DataFrame.) + The new "Level" columns will be placed at the start of the returned + DataFrame's columns. + + Raises + ------ + TaxonomyError + If any of the following conditions are met: + 1. Multiple possible "taxonomy columns" are present in the input + DataFrame: for example, both a "Taxon" and "Taxonomy" column are + present, or both a "taxon" and "Taxon" column are present. + 2. A taxonomy column is present in the input DataFrame, and there + is already at least one column in the DataFrame that starts with + "Level". + """ + # The entries in this tuple should only be lowercase + VALID_TAXONOMY_COLUMN_NAMES = ("taxon", "taxonomy") + lowercase_col_names = [str(c).lower() for c in feature_metadata.columns] + + # See if there is a "taxonomy column", and do some related validation on + # column names + invalid_level_columns_present = False + tax_col_index = None + tax_col_name = None + for i, col in enumerate(lowercase_col_names): + if col in VALID_TAXONOMY_COLUMN_NAMES: + if tax_col_index is None: + tax_col_index = i + # ("col" has already been set to lowercase) + tax_col_name = feature_metadata.columns[i] + else: + # Error condition 1 -- multiple possible "taxonomy columns" :( + raise TaxonomyError( + ( + "Multiple columns in the feature metadata have one of " + "the following names (case insensitive): {}. At most " + "one feature metadata column can have a name from " + "that list." + ).format(VALID_TAXONOMY_COLUMN_NAMES) + ) + if col.startswith("level"): + # This will be a problem *if* there's a taxonomy column, but if + # there isn't it's not a problem. (So we wait until after we've + # seen all of the feature metadata columns to raise an error about + # this.) + invalid_level_columns_present = True + + if tax_col_index is not None: + if invalid_level_columns_present: + # Error condition 2 -- there is at least one "Level" column already + # in the feature metadata, which will make distinguishing these + # column(s) from the columns we were going to add from feature + # metadata difficult. + raise TaxonomyError( + "The feature metadata contains a taxonomy column, but also " + "already contains column(s) starting with the text 'Level' " + "(case insensitive)." + ) + + # Find the maximum number of ;s within any of the taxonomy annotations + # Thanks Yoshiki for showing how to do this concisely :) + max_sc_count = feature_metadata[tax_col_name].str.count(";").max() + + if max_sc_count == 0: + # We allow this in the case of single-rank taxonomies (e.g. just + # kingdoms, for some reason). Can change this to an error if + # desired. + warnings.warn( + ( + "None of the taxonomy values in the feature metadata " + "contain a semicolon (;). Please make sure your taxonomy " + 'is formatted so that "levels" are separated by ' + "semicolons." + ), + TaxonomyWarning + ) + + # OK, actually do splitting now (taking into account max_sc_count) + def split_taxonomy_col(fm_row): + levels = [r.strip() for r in fm_row.loc[tax_col_name].split(";")] + # If this row's taxonomy has less levels than the max number of + # levels, pad it out with empty strings. + if len(levels) < max_sc_count + 1: + num_missing_levels = (max_sc_count + 1) - len(levels) + levels += ["Unspecified"] * num_missing_levels + return levels + + # Our use of result_type="expand" means that tax_levels will be a + # DataFrame with the same index as feature_metadata but with one column + # for each taxonomic level (in order -- Kingdom, Phylum, etc.) + tax_levels = feature_metadata.apply( + split_taxonomy_col, axis="columns", result_type="expand" + ) + # Assign human-friendly column names: Level 1, Level 2, ... + tax_levels.columns = [ + "Level {}".format(i) for i in range(1, len(tax_levels.columns) + 1) + ] + fm_no_tax = feature_metadata.drop(columns=tax_col_name) + # Finally, join the f.m. with the tax. levels DF by the index. + return pd.concat([tax_levels, fm_no_tax], axis="columns") + else: + # No taxonomy column found, so no need to modify the DataFrame + return feature_metadata diff --git a/empress/tools.py b/empress/tools.py index 696df1360..ffcba486f 100644 --- a/empress/tools.py +++ b/empress/tools.py @@ -1,7 +1,16 @@ +# ---------------------------------------------------------------------------- +# Copyright (c) 2016-2020, empress development team. +# +# Distributed under the terms of the Modified BSD License. +# +# The full license is in the file LICENSE, distributed with this software. +# ---------------------------------------------------------------------------- + import warnings import pandas as pd import skbio from skbio import TreeNode +from empress import taxonomy_utils class DataMatchingError(Exception): @@ -12,29 +21,26 @@ class DataMatchingWarning(Warning): pass -def name_internal_nodes(tree): - """ Name internal nodes that don't have a name +def fill_missing_node_names(tree): + """ Names nodes in the tree without a name. Parameters ---------- tree : skbio.TreeNode or empress.Tree - Input tree with labeled tips and partially unlabeled internal nodes - or branch lengths. + Input tree with potentially unnamed nodes (i.e. nodes' .name attributes + can be None). Returns ------- skbio.TreeNode or empress.Tree - Tree with fully labeled internal nodes and branches. + Tree with all nodes assigned a name. """ - # initialize tree with branch lengths and node names if they are missing - current_unlabled_node = 0 + current_unlabeled_node = 0 for n in tree.postorder(include_self=True): - if n.length is None: - n.length = 0 if n.name is None: - new_name = 'EmpressNode%d' % current_unlabled_node + new_name = 'EmpressNode{}'.format(current_unlabeled_node) n.name = new_name - current_unlabled_node += 1 + current_unlabeled_node += 1 def read(file_name, file_format='newick'): @@ -57,6 +63,11 @@ def match_inputs( ): """Matches various input sources. + Also "splits up" the feature metadata, first by calling + taxonomy_utils.split_taxonomy() on it and then by splitting the resulting + DataFrame into two separate DataFrames (one for tips and one for internal + nodes). + Parameters ---------- @@ -64,15 +75,17 @@ def match_inputs( The tree to be visualized. table: pd.DataFrame Representation of the feature table. The index should describe feature - IDs; the columns should describe sample IDs. + IDs; the columns should describe sample IDs. (It's expected that + feature IDs in the table only describe tips in the tree, not internal + nodes.) sample_metadata: pd.DataFrame Sample metadata. The index should describe sample IDs; the columns should describe different sample metadata fields' names. feature_metadata: pd.DataFrame or None Feature metadata. If this is passed, the index should describe feature IDs and the columns should describe different feature metadata fields' - names. NOTE: THIS CURRENTLY IS NOT CHECKED, BUT IT SHOULD BE IN THE - FUTURE WHEN #130 IS ADDRESSED. + names. (Feature IDs here can describe tips or internal nodes in the + tree.) ignore_missing_samples: bool If True, pads missing samples (i.e. samples in the table but not the metadata) with placeholder metadata. If False, raises a @@ -89,8 +102,10 @@ def match_inputs( Returns ------- - (table, sample_metadata): (pd.DataFrame, pd.DataFrame) - Versions of the input table and sample metadata filtered such that: + (table, sample_metadata, tip_metadata, int_metadata): + (pd.DataFrame, pd.DataFrame, pd.DataFrame / None, pd.DataFrame / None) + Versions of the input table, sample metadata, and feature metadata + filtered such that: -The table only contains features also present as tips in the tree. -The sample metadata only contains samples also present in the table. @@ -98,6 +113,15 @@ def match_inputs( have all of their sample metadata values set to "This sample has no metadata". (This will only be done if ignore_missing_samples is True; otherwise, this situation will trigger an error. See below.) + -If feature metadata was not passed, tip_metadata and int_metadata + will both be None. Otherwise, tip_metadata will contain the + entries of the feature metadata where the feature name was present + as a tip in the tree, and int_metadata will contain the entries + of the feature metadata where the feature name was present as + internal node(s) in the tree. + -Also, for sanity's sake, this will call + taxonomy_utils.split_taxonomy() on the feature metadata before + splitting it up into tip and internal node metadata. Raises ------ @@ -109,6 +133,8 @@ def match_inputs( 3. No samples are shared between the sample metadata and table. 4. There are samples present in the table but not in the sample metadata, AND ignore_missing_samples is False. + 5. The feature metadata was passed, but no features present in it + are also present as tips or internal nodes in the tree. References ---------- @@ -116,8 +142,10 @@ def match_inputs( https://github.com/biocore/qurro/blob/b9613534b2125c2e7ee22e79fdff311812f4fefe/qurro/_df_utils.py#L255 """ # Match table and tree. - tip_names = [n.name for n in tree.tips()] - tree_and_table_features = set(tip_names) & set(table.index) + # (Ignore None-named tips in the tree, which will be replaced later on + # with "default" names like "EmpressNode0".) + tip_names = set([n.name for n in tree.tips() if n.name is not None]) + tree_and_table_features = table.index.intersection(tip_names) if len(tree_and_table_features) == 0: # Error condition 1 @@ -216,4 +244,32 @@ def match_inputs( # sample_metadata.shape[0] and sf_sample_metadata.shape[0]. However, the # presence of such "dropped samples" is a common occurrence in 16S studies, # so we currently don't do that for the sake of avoiding alarm fatigue. - return ff_table, sf_sample_metadata + + # If the feature metadata was passed, filter it so that it only contains + # features present as tips / internal nodes in the tree + tip_metadata = None + int_metadata = None + if feature_metadata is not None: + # Split up taxonomy column, if present in the feature metadata + ts_feature_metadata = taxonomy_utils.split_taxonomy(feature_metadata) + fm_ids = ts_feature_metadata.index + + # Subset tip metadata + fm_and_tip_features = fm_ids.intersection(tip_names) + tip_metadata = ts_feature_metadata.loc[fm_and_tip_features] + + # Subset internal node metadata + internal_node_names = set([ + n.name for n in tree.non_tips(include_self=True) + ]) + fm_and_int_features = fm_ids.intersection(internal_node_names) + int_metadata = ts_feature_metadata.loc[fm_and_int_features] + + if len(tip_metadata.index) == 0 and len(int_metadata.index) == 0: + # Error condition 5 + raise DataMatchingError( + "No features in the feature metadata are present in the tree, " + "either as tips or as internal nodes." + ) + + return ff_table, sf_sample_metadata, tip_metadata, int_metadata diff --git a/empress/tree.py b/empress/tree.py index ce023587c..555eaec81 100644 --- a/empress/tree.py +++ b/empress/tree.py @@ -1,7 +1,20 @@ +# ---------------------------------------------------------------------------- +# Copyright (c) 2016-2020, empress development team. +# +# Distributed under the terms of the Modified BSD License. +# +# The full license is in the file LICENSE, distributed with this software. +# ---------------------------------------------------------------------------- + +import warnings from skbio import TreeNode import numpy as np +class TreeFormatWarning(Warning): + pass + + class Tree(TreeNode): """ Attributes @@ -54,8 +67,26 @@ def from_tree(cls, tree, use_lengths=True): if tree.count() <= 1: raise ValueError("Tree must contain at least 2 nodes.") + # While traversing the tree, record tip / internal node names + # (Nodes without names are ignored, since we'll assign those later + # using tools.fill_missing_node_names()) + tip_names = [] + internal_node_names = [] max_branch_length = 0 for n in tree.postorder(include_self=False): + if n.name is not None: + # NOTE: This should eventually be taken out when + # fill_missing_node_names() is refactored. However, for now, + # this makes sure that users can't accidentally break things by + # naming nodes identical to our default names for missing nodes + if n.name.startswith("EmpressNode"): + raise ValueError( + 'Node names can\'t start with "EmpressNode".' + ) + if n.is_tip(): + tip_names.append(n.name) + else: + internal_node_names.append(n.name) if n.length is None: raise ValueError( "Non-root branches of the tree must have lengths." @@ -68,12 +99,34 @@ def from_tree(cls, tree, use_lengths=True): ) max_branch_length = max(n.length, max_branch_length) + # We didn't consider the root node in the above traversal since we + # don't care about its length. However, we do care about its name, + # so we add the root's name to internal_node_names. + internal_node_names.append(tree.name) + if max_branch_length == 0: raise ValueError( "At least one non-root branch of the tree must have a " "positive length." ) + unique_tip_name_set = set(tip_names) + if len(unique_tip_name_set) != len(tip_names): + raise ValueError("Tip names in the tree must be unique.") + + unique_internal_node_name_set = set(internal_node_names) + if len(unique_tip_name_set & unique_internal_node_name_set) > 0: + raise ValueError( + "Tip names in the tree cannot overlap with internal node " + "names." + ) + + if len(unique_internal_node_name_set) != len(internal_node_names): + warnings.warn( + "Internal node names in the tree are not unique.", + TreeFormatWarning + ) + for n in tree.postorder(): n.__class__ = Tree n.tip_count = 0 @@ -125,7 +178,7 @@ def coords(self, height, width): coordinates for each node, so that layout algorithms can be rapidly toggled between in the JS interface. - Also adds on .highestchildyr and .lowestchildyr attributes to + Also adds on .highest_child_yr and .lowest_child_yr attributes to internal nodes so that vertical bars for these nodes can be drawn in the rectangular layout. @@ -166,20 +219,21 @@ def coords(self, height, width): # the rectangular layout; used to draw vertical lines for these nodes. # # NOTE / TODO: This will have the effect of drawing vertical lines even - # for nodes with only 1 child -- in this case lowest_childyr == - # highestchildyr for this node, so all of the stuff drawn in WebGL + # for nodes with only 1 child -- in this case lowest_child_yr == + # highest_child_yr for this node, so all of the stuff drawn in WebGL # for this vertical line shouldn't show up. I don't think this should # cause any problems, but it may be worth detecting these cases and not # drawing vertical lines for them in the future. for n in self.preorder(): if not n.is_tip(): - n.highestchildyr = float("-inf") - n.lowestchildyr = float("inf") + # wow, child does not look like a word any more + n.highest_child_yr = float("-inf") + n.lowest_child_yr = float("inf") for c in n.children: - if c.yr > n.highestchildyr: - n.highestchildyr = c.yr - if c.yr < n.lowestchildyr: - n.lowestchildyr = c.yr + if c.yr > n.highest_child_yr: + n.highest_child_yr = c.yr + if c.yr < n.lowest_child_yr: + n.lowest_child_yr = c.yr return layout_to_coordsuffix, default_layout @@ -358,8 +412,8 @@ def layout_circular(self, width, height): prev_clangle += anglepernode else: # Center internal nodes at an angle above their children - n.clangle = sum([c.clangle for c in n.children])\ - / len(n.children) + child_clangle_sum = sum([c.clangle for c in n.children]) + n.clangle = child_clangle_sum / len(n.children) max_clradius = 0 self.clradius = 0 diff --git a/tests/python/test_core.py b/tests/python/test_core.py index fbaf64de7..0bb2bc37f 100644 --- a/tests/python/test_core.py +++ b/tests/python/test_core.py @@ -5,6 +5,8 @@ # # The full license is in the file LICENSE, distributed with this software. # ---------------------------------------------------------------------------- + +import copy import unittest import pandas as pd import numpy as np @@ -49,6 +51,13 @@ def setUp(self): index=list(self.table.index) ) + self.feature_metadata = pd.DataFrame( + { + "fmdcol1": ["asdf", "ghjk"], + "fmdcol2": ["qwer", "tyui"] + }, + index=["a", "h"] + ) self.filtered_table = pd.DataFrame( { "Sample1": [1, 2, 4], @@ -139,14 +148,6 @@ def test_init_with_ordination(self): # emperor is instantiated as needed but not yet setup self.assertTrue(isinstance(viz._emperor, Emperor)) - def test_init_feature_metadata_warning(self): - - with self.assertWarnsRegex(UserWarning, 'Feature metadata is currently' - ' not supported'): - Empress(self.tree, self.table, self.sample_metadata, - feature_metadata=self.sample_metadata.copy(), - filter_unobserved_features_from_phylogeny=False) - def test_copy_support_files_use_base(self): local_path = './some-local-path/' @@ -182,6 +183,22 @@ def test_to_dict(self): obs = viz._to_dict() self.assertEqual(obs, DICT_A) + def test_to_dict_with_feature_metadata(self): + viz = Empress( + self.tree, self.table, self.sample_metadata, self.feature_metadata, + filter_unobserved_features_from_phylogeny=False + ) + obs = viz._to_dict() + dict_a_with_fm = copy.deepcopy(DICT_A) + dict_a_with_fm["tip_metadata"] = { + "a": {"fmdcol1": "asdf", "fmdcol2": "qwer"} + } + dict_a_with_fm["int_metadata"] = { + "h": {"fmdcol1": "ghjk", "fmdcol2": "tyui"} + } + dict_a_with_fm["feature_metadata_columns"] = ["fmdcol1", "fmdcol2"] + self.assertEqual(obs, dict_a_with_fm) + def test_to_dict_with_emperor(self): viz = Empress(self.tree, self.table, self.sample_metadata, ordination=self.pcoa, @@ -295,6 +312,9 @@ def test_filter_unobserved_features_from_phylogeny(self): 'Metadata2': 'n', 'Metadata3': 'n', 'Metadata4': 'o'}, + 'tip_metadata': {}, + 'int_metadata': {}, + 'feature_metadata_columns': [], 'tree': [1, 1, 1, 1, 0, 1, 0, 0, 1, 0, 0, 1, 1, 0, 1, 0, 0, 0], 'tree_data': {1: {'color': [0.75, 0.75, 0.75], 'name': 'a', diff --git a/tests/python/test_integration.py b/tests/python/test_integration.py index 407e48056..711ab040d 100644 --- a/tests/python/test_integration.py +++ b/tests/python/test_integration.py @@ -5,6 +5,7 @@ # # The full license is in the file LICENSE, distributed with this software. # ---------------------------------------------------------------------------- + import os import unittest from qiime2 import Artifact, Metadata diff --git a/tests/python/test_taxonomy_utils.py b/tests/python/test_taxonomy_utils.py new file mode 100644 index 000000000..11f5f5aa0 --- /dev/null +++ b/tests/python/test_taxonomy_utils.py @@ -0,0 +1,305 @@ +# ---------------------------------------------------------------------------- +# Copyright (c) 2016-2020, empress development team. +# +# Distributed under the terms of the Modified BSD License. +# +# The full license is in the file LICENSE, distributed with this software. +# ---------------------------------------------------------------------------- +import unittest +import pandas as pd +from pandas.testing import assert_frame_equal, assert_series_equal +import empress.taxonomy_utils as tax_utils + + +class TestTaxonomyUtils(unittest.TestCase): + + def setUp(self): + self.feature_metadata = pd.DataFrame( + { + "Taxonomy": [ + ( + "k__Bacteria; p__Bacteroidetes; c__Bacteroidia; " + "o__Bacteroidales; f__Bacteroidaceae; g__Bacteroides; " + "s__" + ), + ( + "k__Bacteria; p__Proteobacteria; " + "c__Gammaproteobacteria; o__Pasteurellales; " + "f__Pasteurellaceae; g__; s__" + ), + ( + "k__Bacteria; p__Bacteroidetes; c__Bacteroidia; " + "o__Bacteroidales; f__Bacteroidaceae; g__Bacteroides; " + "s__uniformis" + ), + "k__Bacteria; p__Firmicutes; c__Bacilli" + ], + "Confidence": [0.95, 0.8, 0, 1] + }, + index=["f1", "f2", "f3", "f4"] + ) + + def check_basic_case_worked(self, split_fm): + """Checks that a given DataFrame matches the expected output from + running split_taxonomy() on self.feature_metadata. + """ + + # Let's verify that split_fm looks how we expect it to look. + # ...First, by checking the columns -- should indicate that the + # correct number of taxonomic levels were identified + self.assertCountEqual(split_fm.columns, [ + "Level 1", "Level 2", "Level 3", "Level 4", "Level 5", "Level 6", + "Level 7", "Confidence" + ]) + # ...Next, check the index -- no features should've been dropped (that + # isn't even a thing that split_taxonomy() does, but let's be safe :P) + self.assertCountEqual(split_fm.index, ["f1", "f2", "f3", "f4"]) + + # Finally, let's check each row individually. This is kinda inelegant. + assert_series_equal( + split_fm.loc["f1"], + pd.Series({ + "Level 1": "k__Bacteria", + "Level 2": "p__Bacteroidetes", + "Level 3": "c__Bacteroidia", + "Level 4": "o__Bacteroidales", + "Level 5": "f__Bacteroidaceae", + "Level 6": "g__Bacteroides", + "Level 7": "s__", + "Confidence": 0.95 + }, name="f1") + ) + assert_series_equal( + split_fm.loc["f2"], + pd.Series({ + "Level 1": "k__Bacteria", + "Level 2": "p__Proteobacteria", + "Level 3": "c__Gammaproteobacteria", + "Level 4": "o__Pasteurellales", + "Level 5": "f__Pasteurellaceae", + "Level 6": "g__", + "Level 7": "s__", + "Confidence": 0.8 + }, name="f2") + ) + assert_series_equal( + split_fm.loc["f3"], + pd.Series({ + "Level 1": "k__Bacteria", + "Level 2": "p__Bacteroidetes", + "Level 3": "c__Bacteroidia", + "Level 4": "o__Bacteroidales", + "Level 5": "f__Bacteroidaceae", + "Level 6": "g__Bacteroides", + "Level 7": "s__uniformis", + "Confidence": 0 + }, name="f3") + ) + assert_series_equal( + split_fm.loc["f4"], + pd.Series({ + "Level 1": "k__Bacteria", + "Level 2": "p__Firmicutes", + "Level 3": "c__Bacilli", + "Level 4": "Unspecified", + "Level 5": "Unspecified", + "Level 6": "Unspecified", + "Level 7": "Unspecified", + "Confidence": 1 + }, name="f4") + ) + + def test_split_taxonomy_no_tax_column(self): + fm2 = self.feature_metadata.copy() + fm2.columns = ["asdf", "ghjkl"] + fm3 = tax_utils.split_taxonomy(fm2) + assert_frame_equal(fm2, fm3) + + def test_split_taxonomy_multiple_tax_columns(self): + bad_fm = self.feature_metadata.copy() + bad_fm.columns = ["Taxonomy", "taxon"] + # As with above, parentheses mess up regexes -- raw strings fix that + with self.assertRaisesRegex( + tax_utils.TaxonomyError, + ( + "Multiple columns in the feature metadata have one of the " + r"following names \(case insensitive\): " + r"\('taxon', 'taxonomy'\). At most one feature metadata " + "column can have a name from that list." + ) + ): + tax_utils.split_taxonomy(bad_fm) + + def test_split_taxonomy_invalid_level_column(self): + bad_fm = self.feature_metadata.copy() + bad_fm.columns = ["Taxonomy", "Level 20"] + with self.assertRaisesRegex( + tax_utils.TaxonomyError, + ( + "The feature metadata contains a taxonomy column, but also " + r"already contains column\(s\) starting with the text 'Level' " + r"\(case insensitive\)." + ) + ): + tax_utils.split_taxonomy(bad_fm) + + def test_split_taxonomy_level_column_but_no_taxonomy_column(self): + meh_fm = self.feature_metadata.copy() + meh_fm.columns = ["I'm ambivalent!", "Level 20"] + meh_fm2 = tax_utils.split_taxonomy(meh_fm) + assert_frame_equal(meh_fm, meh_fm2) + + def test_split_taxonomy_basic_case(self): + initial_fm = self.feature_metadata.copy() + split_fm = tax_utils.split_taxonomy(initial_fm) + + # First off, check that initial_fm was NOT modified: the input DF + # should remain untouched + assert_frame_equal(self.feature_metadata, initial_fm) + + # Do all the in-depth testing of split_fm in a utility func (we'll + # reuse this code a bit later) + self.check_basic_case_worked(split_fm) + + def test_split_taxonomy_rows_with_no_semicolons(self): + funky_fm = self.feature_metadata.copy() + funky_fm.loc["f1", "Taxonomy"] = "birds aren't real" + funky_fm.loc["f2", "Taxonomy"] = "theyve been drones" + funky_fm.loc["f3", "Taxonomy"] = "all along :O" + split_fm = tax_utils.split_taxonomy(funky_fm) + + # Notice that f4's taxonomy is still there -- so each feature will have + # 3 levels + self.assertCountEqual(split_fm.columns, [ + "Level 1", "Level 2", "Level 3", "Confidence" + ]) + + # Check each row individually + assert_series_equal( + split_fm.loc["f1"], + pd.Series({ + "Level 1": "birds aren't real", + "Level 2": "Unspecified", + "Level 3": "Unspecified", + "Confidence": 0.95 + }, name="f1") + ) + assert_series_equal( + split_fm.loc["f2"], + pd.Series({ + "Level 1": "theyve been drones", + "Level 2": "Unspecified", + "Level 3": "Unspecified", + "Confidence": 0.8 + }, name="f2") + ) + assert_series_equal( + split_fm.loc["f3"], + pd.Series({ + "Level 1": "all along :O", + "Level 2": "Unspecified", + "Level 3": "Unspecified", + "Confidence": 0 + }, name="f3") + ) + assert_series_equal( + split_fm.loc["f4"], + pd.Series({ + "Level 1": "k__Bacteria", + "Level 2": "p__Firmicutes", + "Level 3": "c__Bacilli", + "Confidence": 1 + }, name="f4") + ) + + def test_split_taxonomy_all_rows_no_semicolons(self): + funky_fm = self.feature_metadata.copy() + funky_fm.loc["f1", "Taxonomy"] = "Bacteria" + funky_fm.loc["f2", "Taxonomy"] = "Archaea" + funky_fm.loc["f3", "Taxonomy"] = "Bacteria" + funky_fm.loc["f4", "Taxonomy"] = "Viruses" + with self.assertWarnsRegex( + tax_utils.TaxonomyWarning, + ( + "None of the taxonomy values in the feature metadata " + r"contain a semicolon \(;\). Please make sure your taxonomy " + 'is formatted so that "levels" are separated by semicolons.' + ) + ): + split_fm = tax_utils.split_taxonomy(funky_fm) + + self.assertCountEqual(split_fm.columns, ["Level 1", "Confidence"]) + assert_series_equal( + split_fm.loc["f1"], + pd.Series({"Level 1": "Bacteria", "Confidence": 0.95}, name="f1") + ) + assert_series_equal( + split_fm.loc["f2"], + pd.Series({"Level 1": "Archaea", "Confidence": 0.8}, name="f2") + ) + assert_series_equal( + split_fm.loc["f3"], + pd.Series({"Level 1": "Bacteria", "Confidence": 0}, name="f3") + ) + assert_series_equal( + split_fm.loc["f4"], + pd.Series({"Level 1": "Viruses", "Confidence": 1}, name="f4") + ) + + def test_split_taxonomy_leading_trailing_whitespace(self): + """Tests that taxonomy strings with leading/trailing whitespace are + handled as expected (i.e. this whitespace is stripped). + """ + # We insert a bunch of whitespace around the taxonomy info (and in the + # case of f3, around each level), but the actual information remains + # the same as with the basic test case: so the levels should be the + # same. + funky_fm = self.feature_metadata.copy() + funky_fm.loc["f1", "Taxonomy"] = funky_fm.loc["f1", "Taxonomy"] + " " + funky_fm.loc["f2", "Taxonomy"] = " " + funky_fm.loc["f2", "Taxonomy"] + funky_fm.loc["f3", "Taxonomy"] = ( + " " + funky_fm.loc["f3", "Taxonomy"].replace(";", " ;") + " " + ) + # This really should never happen in practice, since I believe that + # QIIME 2's taxonomy format stores its data as a TSV file. Also having + # a tab character in a taxonomy annotation sounds pretty sketchy to me. + # However, we may as well test that -- if for example QIIME 2 switches + # to CSV instead of TSV -- leading/trailing tabs are still treated as + # leading/trailing whitespace and are therefore ignored. + funky_fm.loc["f4", "Taxonomy"] = ( + " \t " + funky_fm.loc["f4", "Taxonomy"] + "\t" + ) + split_fm = tax_utils.split_taxonomy(funky_fm) + self.check_basic_case_worked(split_fm) + + def test_split_taxonomy_SILVA_annotation(self): + """Tests that a particular taxonomy annotation that has caused + errors with QIIME 2 in the past is split properly. + """ + fm = pd.DataFrame({ + "Taxonomy": [ + ( + "D_0__Bacteria;D_1__Gemmatimonadetes;" + "D_2__Gemmatimonadetes;D_3__Gemmatimonadales;" + "D_4__Gemmatimonadaceae;D_5__Gemmatimonas;" + "D_6__uncultured bacterium " + ) + ] + }, index=["f0"]) + split_fm = tax_utils.split_taxonomy(fm) + assert_series_equal( + split_fm.loc["f0"], + pd.Series({ + "Level 1": "D_0__Bacteria", + "Level 2": "D_1__Gemmatimonadetes", + "Level 3": "D_2__Gemmatimonadetes", + "Level 4": "D_3__Gemmatimonadales", + "Level 5": "D_4__Gemmatimonadaceae", + "Level 6": "D_5__Gemmatimonas", + "Level 7": "D_6__uncultured bacterium", + }, name="f0") + ) + + +if __name__ == "__main__": + unittest.main() diff --git a/tests/python/test_tools.py b/tests/python/test_tools.py index dd0fc76c5..8b86ef969 100644 --- a/tests/python/test_tools.py +++ b/tests/python/test_tools.py @@ -9,8 +9,8 @@ import pandas as pd from pandas.testing import assert_frame_equal from skbio import TreeNode -from empress import Tree -import empress.tools as tools +from empress import Tree, tools +from empress.taxonomy_utils import split_taxonomy class TestTools(unittest.TestCase): @@ -40,12 +40,40 @@ def setUp(self): }, index=list(self.table.columns)[:] ) - # TODO Also test matching feature metadata, when that's supported - self.feature_metadata = None + # (These are some Greengenes taxonomy annotations I took from the + # moving pictures taxonomy.qza file. I made up the confidences.) + self.feature_metadata = pd.DataFrame( + { + "Taxonomy": [ + ( + "k__Bacteria; p__Bacteroidetes; c__Bacteroidia; " + "o__Bacteroidales; f__Bacteroidaceae; g__Bacteroides; " + "s__" + ), + ( + "k__Bacteria; p__Proteobacteria; " + "c__Gammaproteobacteria; o__Pasteurellales; " + "f__Pasteurellaceae; g__; s__" + ), + ( + "k__Bacteria; p__Bacteroidetes; c__Bacteroidia; " + "o__Bacteroidales; f__Bacteroidaceae; g__Bacteroides; " + "s__uniformis" + ) + ], + "Confidence": [0.95, 0.8, 0] + }, + index=["e", "h", "a"] + ) + self.split_tax_fm = split_taxonomy(self.feature_metadata) + self.exp_split_fm_cols = [ + "Level 1", "Level 2", "Level 3", "Level 4", "Level 5", "Level 6", + "Level 7", "Confidence" + ] - def test_name_internal_nodes(self): + def test_fill_missing_node_names(self): t = Tree.from_tree(self.tree) - tools.name_internal_nodes(t) + tools.fill_missing_node_names(t) names = ['a', 'e', 'EmpressNode0', 'b', 'g', 'EmpressNode1', 'd', 'h', 'EmpressNode2'] for i, node in enumerate(t.postorder()): @@ -53,27 +81,29 @@ def test_name_internal_nodes(self): def test_match_inputs_nothing_dropped(self): t = Tree.from_tree(self.tree) - tools.name_internal_nodes(t) - filtered_table, filtered_sample_metadata = tools.match_inputs( + filtered_table, filtered_sample_md, t_md, i_md = tools.match_inputs( t, self.table, self.sample_metadata ) assert_frame_equal(filtered_table, self.table) - assert_frame_equal(filtered_sample_metadata, self.sample_metadata) + assert_frame_equal(filtered_sample_md, self.sample_metadata) + # We didn't pass in any feature metadata, so we shouldn't get any out + self.assertIsNone(t_md) + self.assertIsNone(i_md) def test_match_inputs_only_1_feature_in_table(self): # This is technically allowed (so long as this 1 feature is a tree tip) t = Tree.from_tree(self.tree) - tools.name_internal_nodes(t) tiny_table = self.table.loc[["a"]] - filtered_tiny_table, filtered_sample_metadata = tools.match_inputs( + filtered_tiny_table, filtered_sample_md, tm, im = tools.match_inputs( t, tiny_table, self.sample_metadata ) assert_frame_equal(filtered_tiny_table, tiny_table) - assert_frame_equal(filtered_sample_metadata, self.sample_metadata) + assert_frame_equal(filtered_sample_md, self.sample_metadata) + self.assertIsNone(tm) + self.assertIsNone(im) def test_match_inputs_no_tips_in_table(self): t = Tree.from_tree(self.tree) - tools.name_internal_nodes(t) bad_table = self.table.copy() bad_table.index = range(len(self.table.index)) with self.assertRaisesRegex( @@ -94,7 +124,6 @@ def test_match_inputs_no_tips_in_table(self): def test_match_inputs_no_shared_samples(self): t = Tree.from_tree(self.tree) - tools.name_internal_nodes(t) bad_sample_metadata = self.sample_metadata.copy() bad_sample_metadata.index = ["lol", "nothing", "here", "matches"] with self.assertRaisesRegex( @@ -116,7 +145,6 @@ def test_match_inputs_no_shared_samples(self): def test_match_inputs_filter_missing_features_error(self): t = Tree.from_tree(self.tree) - tools.name_internal_nodes(t) bad_table = self.table.copy() # Replace one of the tip IDs in the table with an internal node ID, # instead. This isn't ok. @@ -132,7 +160,6 @@ def test_match_inputs_filter_missing_features_override(self): """Checks that --p-filter-missing-features works as expected.""" # The inputs are the same as with the above test t = Tree.from_tree(self.tree) - tools.name_internal_nodes(t) bad_table = self.table.copy() bad_table.index = ["a", "b", "e", "g"] out_table = None @@ -147,7 +174,7 @@ def test_match_inputs_filter_missing_features_override(self): "visualization." ) ): - out_table, out_sm = tools.match_inputs( + out_table, out_sm, tm, im = tools.match_inputs( t, bad_table, self.sample_metadata, filter_missing_features=True ) @@ -163,7 +190,6 @@ def test_match_inputs_filter_missing_features_override(self): def test_match_inputs_ignore_missing_samples_error(self): t = Tree.from_tree(self.tree) - tools.name_internal_nodes(t) bad_table = self.table.copy() # Replace one of the sample IDs in the table with some junk bad_table.columns = ["Sample1", "Sample2", "Whatever", "Sample4"] @@ -178,7 +204,6 @@ def test_match_inputs_ignore_missing_samples_override(self): """Checks that --p-ignore-missing-samples works as expected.""" # These inputs are the same as with the above test t = Tree.from_tree(self.tree) - tools.name_internal_nodes(t) bad_table = self.table.copy() # Replace one of the sample IDs in the table with some junk bad_table.columns = ["Sample1", "Sample2", "Whatever", "Sample4"] @@ -192,10 +217,7 @@ def test_match_inputs_ignore_missing_samples_override(self): "metadata." ) ): - tools.match_inputs( - t, bad_table, self.sample_metadata, ignore_missing_samples=True - ) - out_table, out_sm = tools.match_inputs( + out_table, out_sm, tm, im = tools.match_inputs( t, bad_table, self.sample_metadata, ignore_missing_samples=True ) @@ -226,6 +248,150 @@ def test_match_inputs_ignore_missing_samples_override(self): check_dtype=False ) + def test_match_inputs_feature_metadata_nothing_dropped(self): + """Tests that tip/internal node names allowed as entries in feat. md. + + (self.feature_metadata describes three features, "e", "h", and "a". + h is an internal node in self.tree, and e and a are tips.) + """ + t = Tree.from_tree(self.tree) + f_table, f_sample_metadata, tip_md, int_md = tools.match_inputs( + t, self.table, self.sample_metadata, self.feature_metadata + ) + assert_frame_equal(f_table, self.table) + assert_frame_equal(f_sample_metadata, self.sample_metadata) + # Check that no filtering had to be done -- only differences in output + # and input feature metadata should be that 1) the output is split into + # two DataFrames, one for tip and one for internal node metadata, and + # 2) the taxonomy column was split up. + assert_frame_equal( + tip_md, self.split_tax_fm.loc[["e", "a"]], check_like=True + ) + assert_frame_equal(int_md, self.split_tax_fm.loc[["h"]]) + # Check that the tip + internal node metadata have identical columns + self.assertListEqual(list(tip_md.columns), self.exp_split_fm_cols) + self.assertListEqual(list(int_md.columns), self.exp_split_fm_cols) + + def test_match_inputs_feature_metadata_no_features_in_tree(self): + """Tests that feature names not corresponding to internal nodes / tips + in the tree are filtered out of the feature metadata, and that if + all features in the input feature metadata are filtered that an + error is raised. + """ + t = Tree.from_tree(self.tree) + bad_fm = self.feature_metadata.copy() + bad_fm.index = range(len(self.feature_metadata.index)) + with self.assertRaisesRegex( + tools.DataMatchingError, + ( + "No features in the feature metadata are present in the tree, " + "either as tips or as internal nodes." + ) + ): + tools.match_inputs(t, self.table, self.sample_metadata, bad_fm) + + def test_match_inputs_feature_metadata_some_features_dropped(self): + """Tests the filtering case described above, but with not all + feature(s) in the feature metadata getting filtered out. + """ + t = Tree.from_tree(self.tree) + # Manipulate bad_fm so that only the "e" feature should get preserved + # (since it's actually in the tree, while "asdf" and "hjkl" aren't) + bad_fm = self.feature_metadata.copy() + bad_fm.index = ["e", "asdf", "hjkl"] + f_table, f_sample_metadata, t_fm, i_fm = tools.match_inputs( + t, self.table, self.sample_metadata, bad_fm + ) + assert_frame_equal(f_table, self.table) + assert_frame_equal(f_sample_metadata, self.sample_metadata) + # Check that the feature metadata just describes "e" (which should be + # in the tip metadata) + assert_frame_equal(t_fm, self.split_tax_fm.loc[["e"]]) + # ... and check that the internal node metadata is empty. + self.assertEqual(len(i_fm.index), 0) + # Columns should be the same between tip and internal md, though. + # (It shouldn't really make a difference, since the empty internal + # metadata will be represented as an empty dict/JSON object ({}) in + # the generated HTML... but may as well check.) + self.assertListEqual(list(t_fm.columns), self.exp_split_fm_cols) + self.assertListEqual(list(i_fm.columns), self.exp_split_fm_cols) + + def test_match_inputs_feature_metadata_root_metadata_allowed(self): + """Tests that feature metadata for the root node is preserved.""" + # Slightly modified version of self.tree where root has a name (i) + t = Tree.from_tree( + TreeNode.read(['(((a:1,e:2):1,b:2)g:1,(:1,d:3)h:2)i:1;']) + ) + fm = self.feature_metadata.copy() + fm.index = ["a", "g", "i"] + f_table, f_sample_metadata, t_fm, i_fm = tools.match_inputs( + t, self.table, self.sample_metadata, fm + ) + # (check that we didn't mess up the table / sample metadata matching by + # accident) + assert_frame_equal(f_table, self.table) + assert_frame_equal(f_sample_metadata, self.sample_metadata) + + split_fm = split_taxonomy(fm) + # Main point of this test: all of the feature metadata should have been + # kept, since a, g, and i are all included in the tree (i in particular + # is important to verify, since it's the root) + assert_frame_equal(t_fm, split_fm.loc[["a"]]) + assert_frame_equal(i_fm, split_fm.loc[["g", "i"]], check_like=True) + + def test_match_inputs_feature_metadata_duplicate_name_internal_node(self): + """Tests that feature metadata for internal nodes with duplicate names + is preserved. + + In the JS interface, there are two options for coloring nodes by + feature metadata: 1) just coloring tips (and propagating + clades with uniform feature metadata upwards), or 2) coloring all + nodes with feature metadata, which can include internal nodes. In + 2), internal nodes with the same name will have the same feature + metadata color. + """ + # Slightly modified version of self.tree with duplicate internal node + # names (i and g) + t = Tree.from_tree( + TreeNode.read(['(((a:1,e:2)i:1,b:2)g:1,(:1,d:3)g:2)i:1;']) + ) + fm = self.feature_metadata.copy() + fm.index = ["a", "g", "i"] + f_table, f_sample_metadata, t_fm, i_fm = tools.match_inputs( + t, self.table, self.sample_metadata, fm + ) + assert_frame_equal(f_table, self.table) + assert_frame_equal(f_sample_metadata, self.sample_metadata) + + split_fm = split_taxonomy(fm) + # Main point of this test: all of the feature metadata should have been + # kept, even though g and i were both duplicate node names. + assert_frame_equal(t_fm, split_fm.loc[["a"]]) + assert_frame_equal(i_fm, split_fm.loc[["g", "i"]], check_like=True) + + def test_match_inputs_feature_metadata_only_internal_node_metadata(self): + """Tests that feature metadata only for internal nodes is allowed.""" + # Slightly modified version of self.tree where root has a name (i) + t = Tree.from_tree( + TreeNode.read(['(((a:1,e:2):1,b:2)g:1,(:1,d:3)h:2)i:1;']) + ) + fm = self.feature_metadata.copy() + fm.index = ["h", "g", "i"] + f_table, f_sample_metadata, t_fm, i_fm = tools.match_inputs( + t, self.table, self.sample_metadata, fm + ) + assert_frame_equal(f_table, self.table) + assert_frame_equal(f_sample_metadata, self.sample_metadata) + + split_fm = split_taxonomy(fm) + # 1) Check that tip metadata is empty + self.assertEqual(len(t_fm.index), 0) + # 2) Check that internal node metadata was preserved + assert_frame_equal(i_fm, split_fm.loc[fm.index], check_like=True) + # 3) Check that columns on both DFs are identical + self.assertListEqual(list(t_fm.columns), self.exp_split_fm_cols) + self.assertListEqual(list(i_fm.columns), self.exp_split_fm_cols) + if __name__ == "__main__": unittest.main() diff --git a/tests/python/test_tree.py b/tests/python/test_tree.py index c5ffc89a4..3648b5f1a 100644 --- a/tests/python/test_tree.py +++ b/tests/python/test_tree.py @@ -1,12 +1,15 @@ # ---------------------------------------------------------------------------- -# Copyright (c) 2018--, empress development team. +# Copyright (c) 2016-2020, empress development team. # # Distributed under the terms of the Modified BSD License. # +# The full license is in the file LICENSE, distributed with this software. # ---------------------------------------------------------------------------- + import unittest from skbio import TreeNode from empress import Tree +from empress.tree import TreeFormatWarning from math import sqrt @@ -34,6 +37,52 @@ def test_from_tree_singlenode(self): ): Tree.from_tree(st) + def test_from_tree_duplicate_tip_names(self): + t = TreeNode.read(['((i:1,a:3)b:2,i:5)r:2;']) + with self.assertRaisesRegex( + ValueError, "Tip names in the tree must be unique" + ): + Tree.from_tree(t) + + def test_from_tree_overlapping_tip_and_internal_node_names(self): + bad_newicks = [ + # Tip overlaps with non-root internal node + '((a:1,b:3)a:2,d:5)e:2;', + # Tip overlaps with root node + '((a:1,b:3)c:2,d:5)a:2;', + # Tip overlaps with both non-root and root internal nodes + '((a:1,b:3)a:2,d:5)a:2;' + ] + for nwk in bad_newicks: + t = TreeNode.read([nwk]) + with self.assertRaisesRegex( + ValueError, + "Tip names in the tree cannot overlap with internal node names" + ): + Tree.from_tree(t) + + def test_from_tree_duplicate_internal_node_names(self): + bad_newicks = [ + # Two non-root internal nodes have same name + '((a:1,b:3)c:2,(d:2,e:3)c:5)r:2;', + # Two internal nodes (one of which is the root) have same name + '((a:1,b:3)c:2,(d:2,e:3)f:5)c:2;' + ] + for nwk in bad_newicks: + t = TreeNode.read([nwk]) + with self.assertWarnsRegex( + TreeFormatWarning, + "Internal node names in the tree are not unique" + ): + Tree.from_tree(t) + + def test_from_tree_node_starts_with_EmpressNode(self): + t = TreeNode.read(['((a:1,b:3)c:2,EmpressNode1:5)e:2;']) + with self.assertRaisesRegex( + ValueError, 'Node names can\'t start with "EmpressNode"' + ): + Tree.from_tree(t) + def test_nonroot_missing_branchlengths(self): # Note about the fourth test tree here: the reason this triggers a # missing-branch-length error before a negative-branch-length error is @@ -157,28 +206,28 @@ def test_rectangular_layout(self): (0.0, 0.0)] # i (root) self.check_coords(t, "xr", "yr", expected_coords) - # Check that lowestchildyr and highestchildyr attributes were set + # Check that lowest_child_yr and highest_child_yr attributes were set # properly. We do this by iterating over tree.non_tips(), which (like # check_coords()) also uses a post-order traversal. # (Note that the "coordinates" in this list of 2-tuples are ordered as # (lowest child y-coordinate, highest child y-coordinate). Computing # these from the list above should be pretty simple.) - expected_lowesthighestchildyr = [(-296.875, -171.875), # f - (-234.375, -46.875), # g - (78.125, 203.125), # h - (-140.625, 140.625)] # i + expected_lowesthighest_child_yr = [(-296.875, -171.875), # f + (-234.375, -46.875), # g + (78.125, 203.125), # h + (-140.625, 140.625)] # i for i, node in enumerate(t.non_tips()): - l, h = expected_lowesthighestchildyr[i] - self.assertTrue(hasattr(node, "lowestchildyr")) - self.assertTrue(hasattr(node, "highestchildyr")) - self.assertAlmostEqual(node.lowestchildyr, l, places=5) - self.assertAlmostEqual(node.highestchildyr, h, places=5) + l, h = expected_lowesthighest_child_yr[i] + self.assertTrue(hasattr(node, "lowest_child_yr")) + self.assertTrue(hasattr(node, "highest_child_yr")) + self.assertAlmostEqual(node.lowest_child_yr, l, places=5) + self.assertAlmostEqual(node.highest_child_yr, h, places=5) # ... And also check that tip nodes *don't* have these attributes, # since tips don't have children. for node in t.tips(): - self.assertFalse(hasattr(node, "lowestchildyr")) - self.assertFalse(hasattr(node, "highestchildyr")) + self.assertFalse(hasattr(node, "lowest_child_yr")) + self.assertFalse(hasattr(node, "highest_child_yr")) def check_basic_tree_rect_layout(self, t): """Checks that the Empress tree for "((b:2)a:1)root:100;" has a correct @@ -188,8 +237,8 @@ def check_basic_tree_rect_layout(self, t): expected_coords = [(100, 0.0), (100 / 3.0, 0.0), (0.0, 0.0)] self.check_coords(t, "xr", "yr", expected_coords) for node in t.non_tips(): - self.assertEqual(node.lowestchildyr, 0) - self.assertEqual(node.highestchildyr, 0) + self.assertEqual(node.lowest_child_yr, 0) + self.assertEqual(node.highest_child_yr, 0) def test_straightline_tree_rect_layout(self): """Checks that all nodes are drawn as expected even when there aren't @@ -204,8 +253,8 @@ def test_straightline_tree_rect_layout(self): expected_coords = [(100, 0.0), (100 / 3.0, 0.0), (0.0, 0.0)] self.check_coords(t, "xr", "yr", expected_coords) for node in t.non_tips(): - self.assertEqual(node.lowestchildyr, 0) - self.assertEqual(node.highestchildyr, 0) + self.assertEqual(node.lowest_child_yr, 0) + self.assertEqual(node.highest_child_yr, 0) self.check_basic_tree_rect_layout(t) def test_missing_root_length_tree_rect_layout(self): @@ -218,8 +267,8 @@ def test_missing_root_length_tree_rect_layout(self): expected_coords = [(100, 0.0), (100 / 3.0, 0.0), (0.0, 0.0)] self.check_coords(t, "xr", "yr", expected_coords) for node in t.non_tips(): - self.assertEqual(node.lowestchildyr, 0) - self.assertEqual(node.highestchildyr, 0) + self.assertEqual(node.lowest_child_yr, 0) + self.assertEqual(node.highest_child_yr, 0) self.check_basic_tree_rect_layout(t) def test_circular_layout_scaling_factor(self): diff --git a/tests/test-circular-layout-computation.js b/tests/test-circular-layout-computation.js index 0e857372d..6b1bc0d7a 100644 --- a/tests/test-circular-layout-computation.js +++ b/tests/test-circular-layout-computation.js @@ -55,8 +55,22 @@ require(['jquery', 'BPTree', 'Empress'], function($, BPTree, Empress) { } } - this.empress = new Empress(tree, treeData, null, - layoutToCoordSuffix, "Circular", null, null); + // README: If this test starts failing at some point in the + // future, it will probably be due to the parameters of the + // Empress object having been changed around without this + // invocation of the object being updated. + this.empress = new Empress( + tree, + treeData, + null, + layoutToCoordSuffix, + "Circular", + null, + [], + {}, + {}, + null + ); this.empress._drawer = new Object(); this.empress._drawer.VERTEX_SIZE = 5; },

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