algorithm now works on 'besoin' txt, complex as it is
[scpubgit/stemmatology.git] / lib / Text / Tradition / Analysis.pm
CommitLineData
d71100ed 1package Text::Tradition::Analysis;
2
3use strict;
4use warnings;
5use Text::Tradition;
6use Text::Tradition::Stemma;
7
8sub new {
9 my( $class, $args ) = @_;
10 my $self = {};
d71100ed 11 bless( $self, $class );
e367f5c0 12 $self->{'data'} = [];
13 foreach my $t ( @{$args->{'traditions'}} ) {
14 $self->run_analysis( $t->{'file'}, $t->{'stemmadot'} );
15 }
d71100ed 16 return $self;
17}
18
19sub run_analysis {
732152b1 20 my( $self, $file, $stemmadot ) = @_;
d71100ed 21 # What we will return
22 my $svg;
23 my $variants = [];
e367f5c0 24 my $data = {};
d71100ed 25
3d79e248 26 # Read in the file and stemma
d71100ed 27 my $tradition = Text::Tradition->new(
3d79e248 28 'input' => 'Self',
29 'file' => $file,
d71100ed 30 'linear' => 1,
31 );
e367f5c0 32 $data->{'title'} = $tradition->name;
732152b1 33
d71100ed 34 my $stemma = Text::Tradition::Stemma->new(
35 'collation' => $tradition->collation,
36 'dot' => $stemmadot,
37 );
38 # We will return the stemma picture
e367f5c0 39 $svg = $stemma->as_svg( { size => "8,7.5" } );;
40 $data->{'svg'} = $svg;
d71100ed 41
42 # We have the collation, so get the alignment table with witnesses in rows.
43 # Also return the reading objects in the table, rather than just the words.
08e0fb85 44 my $wits = {};
45 map { $wits->{$_} = 1 } $stemma->witnesses;
46 my $all_wits_table = $tradition->collation->make_alignment_table( 'refs', $wits );
d71100ed 47
48 # For each column in the alignment table, we want to see if the existing
49 # groupings of witnesses match our stemma hypothesis. We also want, at the
50 # end, to produce an HTML table with all the variants.
51 my $html_columns = 0;
732152b1 52 my ( $total, $genealogical, $conflicts ) = ( 0, 0, 0 );
d71100ed 53
54 # Strip the list of sigla and save it for correlation to the readings.
55 my $col_wits = shift @$all_wits_table;
56
57 # We will return a data structure, an array for each row that looks like:
58 # { id = X, genealogical = Y, readings = [ text = X, group = Y], empty = N }
59 foreach my $i ( 0 .. $#$all_wits_table ) {
60 # For each column in the table, group the readings by witness.
61 my $rdg_wits = {};
62 my $col_rdgs = shift @$all_wits_table;
63 my $rank;
c4e11e3f 64 my $lacunose = [];
d71100ed 65 foreach my $j ( 0 .. $#{$col_rdgs} ) {
66 my $rdg = $col_rdgs->[$j];
d71100ed 67 my $rdg_text = '(omitted)'; # Initialize in case of empty reading
68 if( $rdg ) {
c4e11e3f 69 if( $rdg->is_lacuna ) {
70 $rdg_text = undef; # Don't count lacunae
71 push( @$lacunose, $col_wits->[$j] );
72 } else {
73 $rdg_text = $rdg->text;
74 # Get the rank from any real reading; they should be identical.
75 $rank = $rdg->rank;
76 }
d71100ed 77 }
78 if( defined $rdg_text ) {
79 # Initialize the witness array if we haven't got one yet
80 $rdg_wits->{$rdg_text} = [] unless $rdg_wits->{$rdg_text};
81 # Add the relevant witness, subject to a.c. logic
82 add_variant_wit( $rdg_wits->{$rdg_text}, $col_wits->[$j],
83 $tradition->collation->ac_label );
84 }
85 }
86
87 # See if this column has any potentially genealogical variants.
88 # If not, skip to the next.
89 $total++ unless scalar keys %$rdg_wits == 1;
90 my( $groups, $readings ) = useful_variant( $rdg_wits );
91 next unless $groups && $readings;
92
d71100ed 93 # Keep track of our widest row
94 $html_columns = scalar @$groups if scalar @$groups > $html_columns;
95
96 # We can already look up witnesses for a reading; we also want to look
97 # up readings for a given witness.
98 my $group_readings = {};
99 foreach my $x ( 0 .. $#$groups ) {
100 $group_readings->{wit_stringify( $groups->[$x] )} = $readings->[$x];
101 }
102
103 # For all the groups with more than one member, collect the list of all
104 # contiguous vertices needed to connect them.
c4a4fb1b 105 $DB::single = 1 if $rank == 733;
732152b1 106 my $variant_row = analyze_variant_location( $group_readings, $groups,
08e0fb85 107 $stemma->graph, $lacunose );
732152b1 108 $variant_row->{'id'} = $rank;
109 $genealogical++ if $variant_row->{'genealogical'};
110 $conflicts += grep { $_->{'conflict'} } @{$variant_row->{'readings'}};
111
d71100ed 112 # Now run the same analysis given the calculated distance tree(s).
732152b1 113# my @trees = @{$stemma->distance_trees};
114# if( @trees ) {
115# foreach my $tree ( 0 .. $#trees ) {
c4a4fb1b 116# my $dc = analyze_variant_location( $group_readings, $groups, $tree, $lacunose, 'undirected' );
732152b1 117# foreach my $rdg ( keys %$dc ) {
118# my $var = $dc->{$rdg};
119# # TODO Do something with this
120# }
121# }
122# }
123
d71100ed 124 # Record that we used this variant in an analysis
125 push( @$variants, $variant_row );
126 }
127
732152b1 128 # Go through our variant rows, after we have seen all of them once,
129 # and add the number of empty columns needed by each.
d71100ed 130 foreach my $row ( @$variants ) {
131 my $empty = $html_columns - scalar @{$row->{'readings'}};
132 $row->{'empty'} = $empty;
133 }
134
732152b1 135 # Populate self with our analysis data.
e367f5c0 136 $data->{'variants'} = $variants;
137 $data->{'variant_count'} = $total;
138 $data->{'conflict_count'} = $conflicts;
139 $data->{'genealogical_count'} = $genealogical;
140 push( @{$self->{'data'}}, $data );
d71100ed 141}
142
732152b1 143# variant_row -> genealogical
144# -> readings [ { text, group, conflict, missing } ]
145
d71100ed 146sub analyze_variant_location {
c4a4fb1b 147 my( $group_readings, $groups, $graph, $lacunose, $undirected ) = @_;
d71100ed 148 my %contig;
c4a4fb1b 149 my %subgraph;
150 my $is_conflicted;
d71100ed 151 my $conflict = {};
732152b1 152 my %missing;
153 map { $missing{$_} = 1 } @$lacunose;
154 my $variant_row = { 'readings' => [] };
94a077d6 155 # Mark each ms as in its own group, first.
156 foreach my $g ( @$groups ) {
157 my $gst = wit_stringify( $g );
158 map { $contig{$_} = $gst } @$g;
159 }
c4a4fb1b 160 # Now for each unmarked node in the graph, initialize an array
161 # for possible group memberships. We will use this later to
162 # resolve potential conflicts.
163 map { $contig{$_} = [] unless $contig{$_} } $graph->vertices;
d71100ed 164 foreach my $g ( sort { scalar @$b <=> scalar @$a } @$groups ) {
c4a4fb1b 165 my $gst = wit_stringify( $g ); # This is the group name
166 my $reachable = { $g->[0] => 1 };
08e0fb85 167 # Copy the graph, and delete all non-members from the new graph.
c4a4fb1b 168 my $part = $graph->copy;
169 my $group_root;
170 $part->delete_vertices(
171 grep { !ref( $contig{$_} ) && $contig{$_} ne $gst } $graph->vertices );
172
173 # Now look to see if our group is connected.
174 if( $undirected ) { # For use with distance trees etc.
175 # Find all vertices reachable from the first (arbitrary) group
176 # member. If we are genealogical this should include them all.
177 map { $reachable->{$_} = 1 } $part->all_reachable( $g->[0] );
178 # TODO This is a terrible way to do distance trees, since all
179 # non-leaf nodes are included in every graph part now. We may
180 # have to go back to SPDP.
181 } else {
182 if( @$g > 1 ) {
183 # Dispense with the trivial case of one reading.
184 # We have to take directionality into account.
185 # How many root nodes do we have?
186 my @roots = grep { ref( $contig{$_} ) || $contig{$_} eq $gst }
187 $part->source_vertices;
188 # Assuming that @$g > 1, find the first root node that has at
189 # least one successor belonging to our group. If this reading
190 # is genealogical, there should be only one, but we will check
191 # that implicitly later.
192 my $nodes_in_subtree = 0;
193 foreach my $root ( @roots ) {
194 # Prune the tree down to the first root that either is extant
195 # or has more than one successor.
196 while( $part->successors( $root ) == 1 && ref $contig{$root} ) {
197 my @nextroot = $part->successors( $root );
198 $part->delete_vertex( $root );
199 $root = $nextroot[0];
200 }
201 # Get all the successor nodes of our root.
202 my $tmp_reach = { $root => 1 };
203 map { $tmp_reach->{$_} = 1 } $part->all_successors( $root );
204 # Skip this root if none of our successors are in our group
205 # (e.g. isolated 'hypothetical' witnesses with no group)
206 next unless grep { $contig{$_} } keys %$tmp_reach;
207 if( keys %$tmp_reach > $nodes_in_subtree ) {
208 $nodes_in_subtree = keys %$tmp_reach;
209 $reachable = $tmp_reach;
210 $group_root = $root;
211 }
212 }
213 } # else it is a single-node group, nothing to calculate.
214 }
215
216 # None of the 'reachable' nodes should be marked as being in another
217 # group. Paint the 'hypotheticals' with our group while we are at it,
218 # unless there is a conflict present.
219 foreach ( keys %$reachable ) {
220 if( ref $contig{$_} ) {
221 push( @{$contig{$_}}, $gst );
222 } elsif( $contig{$_} ne $gst ) {
08e0fb85 223 $conflict->{$group_readings->{$gst}} = $group_readings->{$contig{$_}};
c4a4fb1b 224 } # else it is an 'extant' node marked with our group already.
d71100ed 225 }
08e0fb85 226 # None of the unreachable nodes should be in our group either.
227 foreach ( $part->vertices ) {
c4a4fb1b 228 next if $reachable->{$_};
229 if( $contig{$_} eq $gst ) {
230 $conflict->{$group_readings->{$gst}} = $group_readings->{$gst};
231 last;
232 }
08e0fb85 233 }
234
c4a4fb1b 235 # Now, if we have a conflict, we can write the reading in full. If not,
236 # we have to save the subgraph so that we can resolve possible conflicts
237 # on hypothetical nodes.
238 $is_conflicted = 1 if exists $conflict->{$group_readings->{$gst}};
239
732152b1 240 # Write the reading.
241 my $reading = { 'text' => $group_readings->{$gst},
242 'missing' => wit_stringify( $lacunose ),
c4a4fb1b 243 'group' => $gst }; # This will change if we find no conflict
244 if( $is_conflicted ) {
245 $reading->{'conflict'} = $conflict->{$group_readings->{$gst}}
732152b1 246 } else {
c4a4fb1b 247 # Save the relevant subgraph.
248 $subgraph{$gst} = { 'graph' => $part,
249 'root' => $group_root,
250 'reachable' => $reachable };
732152b1 251 }
252 push( @{$variant_row->{'readings'}}, $reading );
d71100ed 253 }
c4a4fb1b 254
255 # Now that we have gone through all the rows, check the hypothetical
256 # readings for conflict if we haven't found one yet.
257 if( keys %subgraph && !keys %$conflict ) {
258 my @resolve;
259 foreach ( keys %contig ) {
260 next unless ref $contig{$_};
261 if( scalar @{$contig{$_}} > 1 ) {
262 push( @resolve, $_ );
263 } else {
264 $contig{$_} = scalar @{$contig{$_}} ? $contig{$_}->[0] : '';
265 }
266 }
267 # Do we still have a possible conflict?
268 my %still_contig;
269 foreach my $h ( @resolve ) {
270 # For each of the hypothetical readings with more than one possibility,
271 # try deleting it from each of its member subgraphs in turn, and see
272 # if that breaks the contiguous grouping.
273 # TODO This can still break in a corner case where group A can use
274 # either vertex 1 or 2, and group B can use either vertex 2 or 1.
275 # Revisit this if necessary; it could get brute-force nasty.
276 foreach my $gst ( @{$contig{$h}} ) {
277 my $gpart = $subgraph{$gst}->{'graph'}->copy;
278 my $reachable = $subgraph{$gst}->{'reachable'};
279 $gpart->delete_vertex( $h );
280 # Is everything else still reachable from the root?
281 # TODO If $h was the root, see if we still have a single root.
282 my %still_reachable = ( $subgraph{$gst}->{'root'} => 1 );
283 map { $still_reachable{$_} = 1 }
284 $gpart->all_successors( $subgraph{$gst}->{'root'} );
285 foreach my $v ( keys %$reachable ) {
286 next if $v eq $h;
287 if( !$still_reachable{$v}
288 && ( $contig{$v} eq $gst
289 || ( exists $still_contig{$v}
290 && $still_contig{$v} eq $gst ) ) ) {
291 # We need $h.
292 if( exists $still_contig{$h} ) {
293 # Conflict!
294 $conflict->{$group_readings->{$gst}} =
295 $group_readings->{$still_contig{$h}};
296 } else {
297 $still_contig{$h} = $gst;
298 }
299 last;
300 } # else we don't need $h in this group.
301 }
302 }
303 }
304
305 # Now, assuming no conflict, we have some hypothetical vertices in
306 # $still_contig that are the "real" group memberships. Replace these
307 # in $contig.
308 unless ( keys %$conflict ) {
309 foreach my $v ( keys %contig ) {
310 next unless ref $contig{$v};
311 $contig{$v} = $still_contig{$v};
312 }
313 }
314 }
315
316 # Now write the group and conflict information into the respective rows.
317 foreach my $rdg ( @{$variant_row->{'readings'}} ) {
318 $rdg->{'conflict'} = $conflict->{$rdg->{'text'}};
319 next if $rdg->{'conflict'};
320 my @members = grep { $contig{$_} eq $rdg->{'group'} && !$missing{$_} }
321 keys %contig;
322 $rdg->{'group'} = wit_stringify( \@members );
323 }
324
08e0fb85 325 $variant_row->{'genealogical'} = !( keys %$conflict );
732152b1 326 return $variant_row;
d71100ed 327}
328
329# Add the variant, subject to a.c. representation logic.
330# This assumes that we will see the 'main' version before the a.c. version.
331sub add_variant_wit {
332 my( $arr, $wit, $acstr ) = @_;
333 my $skip;
334 if( $wit =~ /^(.*)\Q$acstr\E$/ ) {
335 my $real = $1;
336 $skip = grep { $_ =~ /^\Q$real\E$/ } @$arr;
337 }
338 push( @$arr, $wit ) unless $skip;
339}
340
341# Return an answer if the variant is useful, i.e. if there are at least 2 variants
342# with at least 2 witnesses each.
343sub useful_variant {
344 my( $readings ) = @_;
345 my $total = keys %$readings;
346 foreach my $var ( keys %$readings ) {
347 $total-- if @{$readings->{$var}} == 1;
348 }
349 return( undef, undef ) if $total <= 1;
350 my( $groups, $text );
351 foreach my $var ( keys %$readings ) {
352 push( @$groups, $readings->{$var} );
353 push( @$text, $var );
354 }
355 return( $groups, $text );
356}
357
358# Take an array of witness groupings and produce a string like
359# ['A','B'] / ['C','D','E'] / ['F']
360
361sub wit_stringify {
362 my $groups = shift;
363 my @gst;
364 # If we were passed an array of witnesses instead of an array of
365 # groupings, then "group" the witnesses first.
366 unless( ref( $groups->[0] ) ) {
367 my $mkgrp = [ $groups ];
368 $groups = $mkgrp;
369 }
370 foreach my $g ( @$groups ) {
371 push( @gst, '[' . join( ',', map { "'$_'" } @$g ) . ']' );
372 }
373 return join( ' / ', @gst );
374}
375
3761;