Module: MiGA::Cli::Action::Doctor::Base
- Included in:
- MiGA::Cli::Action::Doctor
- Defined in:
- lib/miga/cli/action/doctor/base.rb
Instance Method Summary collapse
-
#check_dist_eval(cli, p, res) ⇒ Object
Scans the all-vs-all matrix registered in
res
(MiGA::Result) in search of pairs where one or both datasets are missing or inactive in the projectp
(MiGA::Project), and report progress throughcli
(MiGA::Cli). -
#check_dist_fix(cli, p, fix) ⇒ Object
Cleanup distance databases for datasets names in
fix
(Array: String) from projectp
(MiGA::Project), and report throughcli
(MiGA::Cli). -
#check_dist_recompute(cli, res, notok) ⇒ Object
Recompute
res
(MiGA::Result) ifnotok
(Array: String) has any dataset names registered, and report throughcli
(MiGA::Cli). -
#outdated_fastaai_ess(res) ⇒ Object
Check if the essential genes result
res
has an outdated FastAAI index. -
#read_bidirectional(a, metric) ⇒ Object
Reads all the distance estimates in
a
-> * formetric
and returns them as a hash {“b_name” => [val, sd, …], …}. -
#run_cmd(cmd, opts = {}) ⇒ Object
Run command
cmd
with optionsopts
. -
#save_bidirectional(a, dist) ⇒ Object
Saves all the distance estimates in * ->
a
into thea
databases (asa
-> *), wherea
is a MiGA::Dataset object, with currently saved values read from the hashdist
. -
#saved_targets(dataset) ⇒ Object
Returns all targets identified by AAI.
Instance Method Details
#check_dist_eval(cli, p, res) ⇒ Object
Scans the all-vs-all matrix registered in res
(MiGA::Result) in search of pairs where one or both datasets are missing or inactive in the project p
(MiGA::Project), and report progress through cli
(MiGA::Cli). Returns an Array with two arrays: the first a list of dataset names that are no longer registered in the project or are currently inactive, and the second a list of dataset names that have registered pairs with the first list, and therefore the databases need to be cleaned. This is a subtask of check_dist
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# File 'lib/miga/cli/action/doctor/base.rb', line 14 def check_dist_eval(cli, p, res) notok = {} fix = {} Zlib::GzipReader.open(res.file_path(:matrix)) do |fh| lineno = 0 fh.each_line do |ln| next if (lineno += 1) == 1 r = ln.split("\t") names = [r[0], r[1]] next unless names.any? { |i| p.dataset(i).nil? } names.each do |i| if p.dataset(i).nil? || !p.dataset(i).active? notok[i] = true else fix[i] = true end end end end [notok.keys, fix.keys] end |
#check_dist_fix(cli, p, fix) ⇒ Object
Cleanup distance databases for datasets names in fix
(Array: String) from project p
(MiGA::Project), and report through cli
(MiGA::Cli). This is a subtask of check_dist
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# File 'lib/miga/cli/action/doctor/base.rb', line 42 def check_dist_fix(cli, p, fix) return if fix.empty? cli.say("- Fixing #{fix.size} datasets") fix.each do |d_n| cli.say " > Fixing #{d_n}." p.dataset(d_n).cleanup_distances! end end |
#check_dist_recompute(cli, res, notok) ⇒ Object
Recompute res
(MiGA::Result) if notok
(Array: String) has any dataset names registered, and report through cli
(MiGA::Cli). This is a subtask of check_dist
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# File 'lib/miga/cli/action/doctor/base.rb', line 56 def check_dist_recompute(cli, res, notok) return if notok.empty? cli.say '- Unregistered datasets detected: ' if notok.size <= 5 notok.each { |i| cli.say " > #{i}" } else cli.say " > #{notok.size}, including #{notok.first}" end cli.say '- Removing tables, recompute' res.remove! end |
#outdated_fastaai_ess(res) ⇒ Object
Check if the essential genes result res
has an outdated FastAAI index
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# File 'lib/miga/cli/action/doctor/base.rb', line 131 def outdated_fastaai_ess(res) idx1 = res.file_path(:fastaai_index) idx2 = res.file_path(:fastaai_index_2) idx2.nil? && !idx1.nil? end |
#read_bidirectional(a, metric) ⇒ Object
Reads all the distance estimates in a
-> * for metric
and returns them as a hash {“b_name” => [val, sd, …], …}
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# File 'lib/miga/cli/action/doctor/base.rb', line 82 def read_bidirectional(a, metric) db_file = a.result(:distances)&.file_path("#{metric}_db") or return {} sql = "select seq2, #{metric}, sd, n, omega from #{metric}" data = MiGA::SQLite.new(db_file).run(sql) || [] Hash[ data.map do |row| k, v = row.shift(2) [k, row.all?(&:zero?) ? v : [v] + row] end ] end |
#run_cmd(cmd, opts = {}) ⇒ Object
Run command cmd
with options opts
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# File 'lib/miga/cli/action/doctor/base.rb', line 123 def run_cmd(cmd, opts = {}) opts = { return: :output, err2out: true, raise: false }.merge(opts) cmdo = MiGA::MiGA.run_cmd(cmd, opts).chomp warn(cmdo) unless cmdo.empty? end |
#save_bidirectional(a, dist) ⇒ Object
Saves all the distance estimates in * -> a
into the a
databases (as a
-> *), where a
is a MiGA::Dataset object, with currently saved values read from the hash dist
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# File 'lib/miga/cli/action/doctor/base.rb', line 98 def save_bidirectional(a, dist) each_database_file(a) do |db_file, metric, result, rank| next if rank == :haai # No need for hAAI to be bidirectional next if result == :taxonomy # Taxonomy is never bidirectional b2a = dist[rank].map { |b_name, v| b_name if v[a.name] }.compact a2b = dist[rank][a.name]&.keys || [] MiGA::SQLite.new(db_file).run do |db| sql = <<~SQL insert into #{metric}(seq1, seq2, #{metric}, sd, n, omega) \ values(?, ?, ?, ?, ?, ?); SQL db.execute('BEGIN TRANSACTION;') (b2a - a2b).each do |b_name| val = dist[rank][b_name][a.name] val = [val, 0, 0, 0] unless val.is_a?(Array) db.execute(sql, [a.name, b_name] + val) end db.execute('COMMIT;') end end end |
#saved_targets(dataset) ⇒ Object
Returns all targets identified by AAI
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# File 'lib/miga/cli/action/doctor/base.rb', line 71 def saved_targets(dataset) # Return nil if distance or database are not retrievable dist = dataset.result(:distances) or return path = dist.file_path(:aai_db) or return MiGA::SQLite.new(path).run('select seq2 from aai').map(&:first) end |