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vidjil
vidjil
Commit c7c56f21 authored by Vidjil Team's avatar Vidjil Team Committed by Mathieu Giraud
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vidjil.cpp: bikeshed option names and help messages 

Following passionate discussions (!245) :
 - add many long option names, using updated terms
 - deprecate 11 short options, including many rare options coming form ancient times
 - reorder options and bikeshed some help texts

See #3295.
parent 8cfdc528
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algo/vidjil.cpp
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......@@ -134,7 +134,7 @@ enum { CMD_WINDOWS, CMD_CLONES, CMD_SEGMENT, CMD_GERMLINES } ;
// display
#define WIDTH_NB_READS 7
#define WIDTH_NB_CLONES 3
#define PAD_HELP "\n "
using namespace std ;
using json = nlohmann::json;
......@@ -263,19 +263,30 @@ int main (int argc, char **argv)
app.add_option("--header-sep", read_header_separator, "separator for headers in the reads file", false)
-> group(group) -> level() -> set_type_name("CHAR='" DEFAULT_READ_HEADER_SEPARATOR "'");
int max_reads_processed = NO_LIMIT_VALUE;
int max_reads_processed_sample = NO_LIMIT_VALUE;
app.add_option("--first-reads,-x", max_reads_processed,
"maximal number of reads to process ('" NO_LIMIT "': no limit, default), only first reads")
-> group(group) -> transform(string_NO_LIMIT);
app.add_option("--sampled-reads,-X", max_reads_processed_sample,
"maximal number of reads to process ('" NO_LIMIT "': no limit, default), sampled reads")
-> group(group) -> transform(string_NO_LIMIT);
// ----------------------------------------------------------------------------------------------------------------------
group = "Germline presets (at least one -g or -V/(-D)/-J option must be given)";
vector <string> multi_germlines ;
app.add_option("-g", multi_germlines, R"Z(
app.add_option("--germline,-g", multi_germlines, R"Z(
-g <.g FILE>(:FILTER)
multiple locus/germlines, with tuned parameters.
Common values are '-g germline/homo-sapiens.g' or '-g germline/mus-musculus.g'
The list of locus/recombinations can be restricted, such as in '-g germline/homo-sapiens.g:IGH,IGK,IGL'
-g PATH
multiple locus/germlines, shortcut for '-g PATH/)Z" DEFAULT_MULTI_GERMLINE_FILE R"Z(',
processes human TRA, TRB, TRG, TRD, IGH, IGK and IGL locus, possibly with some incomplete/unusal recombinations)Z")
processes human TRA, TRB, TRG, TRD, IGH, IGK and IGL locus, possibly with incomplete/unusal recombinations)Z")
-> group(group) -> set_type_name("GERMLINES");
vector <string> v_reps_V ;
......@@ -288,7 +299,7 @@ int main (int argc, char **argv)
app.add_option("-D", v_reps_D,
"custom D germline multi-fasta file(s), segment into V(D)J components")
"custom D germline multi-fasta file(s), analyze into V(D)J components")
-> group(group) -> set_type_name("FILE");
app.add_option("-J", v_reps_J,
......@@ -296,14 +307,8 @@ int main (int argc, char **argv)
-> group(group) -> set_type_name("FILE");
// ----------------------------------------------------------------------------------------------------------------------
group = "Locus/recombinations";
bool several_D = false;
bool multi_germline_unexpected_recombinations_12 = false;
app.add_flag("-d", several_D, "try to detect several D (experimental)") -> group(group);
app.add_flag("-2", multi_germline_unexpected_recombinations_12, "try to detect unexpected recombinations (must be used with -g)") -> group(group);
app.add_flag("-2", multi_germline_unexpected_recombinations_12, "try to detect unexpected recombinations") -> group(group);
// ----------------------------------------------------------------------------------------------------------------------
......@@ -322,7 +327,7 @@ int main (int argc, char **argv)
string seed = DEFAULT_SEED ;
bool seed_changed = false;
app.add_option("-k",
app.add_option("--kmer,-k",
[&](CLI::results_t res) {
int kmer_size ;
bool worked = CLI::detail::lexical_cast(res[0], kmer_size);
......@@ -337,19 +342,19 @@ int main (int argc, char **argv)
-> group(group) -> level() -> set_type_name("INT");
int wmer_size = DEFAULT_W ;
app.add_option("-w", wmer_size,
app.add_option("--window,-w", wmer_size,
"w-mer size used for the length of the extracted window ('" NO_LIMIT "': use all the read, no window clustering)")
-> group(group) -> level() -> transform(string_NO_LIMIT);
double expected_value = THRESHOLD_NB_EXPECTED;
app.add_option("-e", expected_value,
app.add_option("--e-value,-e", expected_value,
"maximal e-value for determining if a V-J segmentation can be trusted", true)
-> group(group) -> level() -> transform(string_NO_LIMIT);
int trim_sequences = DEFAULT_TRIM;
bool trim_sequences_changed = false;
app.add_option("-t",
app.add_option("--trim",
[&](CLI::results_t res) {
CLI::detail::lexical_cast(res[0], trim_sequences);
trim_sequences_changed = true;
......@@ -359,7 +364,7 @@ int main (int argc, char **argv)
"trim V and J genes (resp. 5' and 3' regions) to keep at most <INT> nt (0: no trim)")
-> group(group) -> level() -> set_type_name("INT");
app.add_option("-s",
app.add_option("--seed,-s",
[&](CLI::results_t res) {
seed = res[0] ;
options_s_k++ ;
......@@ -367,7 +372,7 @@ int main (int argc, char **argv)
return true;
},
"seed, possibly spaced, used for the V/J affectation (default: depends on germline), given either explicitely or by an alias"
"\n " + string_of_map(seedMap, " ")
PAD_HELP + string_of_map(seedMap, " ")
)
-> group(group) -> level() -> set_type_name("SEED=" DEFAULT_SEED);
......@@ -380,20 +385,20 @@ int main (int argc, char **argv)
bool multi_germline_unexpected_recombinations_1U = false;
app.add_flag("-I", multi_germline_mark,
"ignore k-mers common to different germline systems (experimental, must be used with -g, do not use)")
"ignore k-mers common to different germline systems (experimental, do not use)")
-> group(group) -> level();
app.add_flag("-1", multi_germline_one_unique_index,
"use a unique index for all germline systems (experimental, must be used with -g, do not use)")
"use a unique index for all germline systems (experimental, do not use)")
-> group(group) -> level();
app.add_flag("-4", multi_germline_unexpected_recombinations_1U,
"try to detect unexpected recombinations with translocations (experimental, must be used with -g, do not use)")
"try to detect unexpected recombinations with translocations (experimental, do not use)")
-> group(group) -> level();
bool keep_unsegmented_as_clone = false;
app.add_flag("--keep", keep_unsegmented_as_clone,
"keep unsegmented reads as clones, taking for junction the complete sequence, to be used on very small datasets (for example --keep -AX 20)")
app.add_flag("--not-analyzed-as-clones", keep_unsegmented_as_clone,
"consider not analyzed reads as clones, taking for junction the complete sequence, to be used on very small datasets (for example --not-analyzed-as-clones -AX 20)")
-> group(group) -> level();
......@@ -403,35 +408,31 @@ int main (int argc, char **argv)
vector <string> windows_labels_explicit ;
string windows_labels_file = "" ;
app.add_option("-W", windows_labels_explicit, "label the given sequence(s)") -> group(group) -> level() -> set_type_name("SEQUENCE");
app.add_option("-l", windows_labels_file, "label a set of sequences given in <file>") -> group(group) -> level() -> set_type_name("FILE");
app.add_option("--label", windows_labels_explicit, "label the given sequence(s)") -> group(group) -> level() -> set_type_name("SEQUENCE");
app.add_option("--label-file", windows_labels_file, "label a set of sequences given in <file>") -> group(group) -> level() -> set_type_name("FILE");
bool only_labeled_windows = false ;
app.add_flag("-F", only_labeled_windows, "filter -- keep only the windows related to the labeled sequences") -> group(group) -> level();
app.add_flag("--label-filter", only_labeled_windows, "filter -- keep only the windows related to the labeled sequences") -> group(group) -> level();
// ----------------------------------------------------------------------------------------------------------------------
group = "Limits to report a clone (or a window)";
group = "Limits to report and to analyze clones (second pass)";
int max_clones_id = NO_LIMIT_VALUE ;
int min_reads_clone = DEFAULT_MIN_READS_CLONE ;
float ratio_reads_clone = DEFAULT_RATIO_READS_CLONE;
app.add_option("--min-reads,-r", min_reads_clone, "minimal number of reads supporting a clone", true) -> group(group);
app.add_option("--min-ratio", ratio_reads_clone, "minimal percentage of reads supporting a clone", true) -> group(group);
app.add_option("--max-clones", max_clones_id, "maximal number of output clones ('" NO_LIMIT "': no maximum, default)", false) -> group(group);
app.add_option("-r", min_reads_clone, "minimal number of reads supporting a clone", true) -> group(group);
app.add_option("--ratio", ratio_reads_clone, "minimal percentage of reads supporting a clone", true) -> group(group);
// ----------------------------------------------------------------------------------------------------------------------
group = "Limits to further analyze some clones (second pass)";
int max_clones = DEFAULT_MAX_CLONES ;
int max_representatives = DEFAULT_MAX_REPRESENTATIVES ;
app.add_option("-y", max_representatives,
app.add_option("--max-consensus,-y", max_representatives,
"maximal number of clones computed with a consensus sequence ('" NO_LIMIT "': no limit)", true)
-> group(group) -> transform(string_NO_LIMIT);
app.add_option("-z",
app.add_option("--max-designations,-z",
[&max_clones, &max_representatives](CLI::results_t res) {
max_clones = atoi_NO_LIMIT(res[0].c_str());
if ((max_representatives < max_clones) && (max_representatives != NO_LIMIT_VALUE))
......@@ -442,27 +443,18 @@ int main (int argc, char **argv)
"maximal number of clones to be analyzed with a full V(D)J designation ('" NO_LIMIT "': no limit, do not use)")
-> group(group) -> set_type_name("INT=" + string_of_int(max_clones));
app.add_flag_function("-A", [&](size_t n) {
app.add_flag_function("--all", [&](size_t n) {
UNUSED(n);
ratio_reads_clone = 0 ;
min_reads_clone = 1 ;
max_representatives = NO_LIMIT_VALUE ;
max_clones = NO_LIMIT_VALUE ;
},
"reports and segments all clones (-r 0 --ratio 0 -y " NO_LIMIT " -z " NO_LIMIT "), to be used only on very small datasets (for example -AX 20)")
"reports and analyzes all clones"
PAD_HELP "(--min-reads 1 --min-ratio 0 --max-clones " NO_LIMIT" --max-clones-with-consensus " NO_LIMIT " --max-clones-with-analysis " NO_LIMIT "),"
PAD_HELP "to be used only on very small datasets (for example --all -X 20)")
-> group(group);
int max_reads_processed = NO_LIMIT_VALUE;
int max_reads_processed_sample = NO_LIMIT_VALUE;
app.add_option("-x", max_reads_processed,
"maximal number of reads to process ('" NO_LIMIT "': no limit, default), only first reads")
-> group(group) -> transform(string_NO_LIMIT);
app.add_option("-X", max_reads_processed_sample,
"maximal number of reads to process ('" NO_LIMIT "': no limit, default), sampled reads")
-> group(group) -> transform(string_NO_LIMIT);
VirtualReadScore *readScorer = &DEFAULT_READ_SCORE;
RandomScore randomScore;
app.add_flag_function("--consensus-on-random-sample",
......@@ -476,24 +468,27 @@ int main (int argc, char **argv)
group = "Clone analysis (second pass)";
Cost segment_cost = DEFAULT_SEGMENT_COST ;
app.add_option("-f",
app.add_option("--analysis-cost",
[&segment_cost](CLI::results_t res) {
segment_cost = strToCost(res[0].c_str(), VDJ);
return true;
},
"use custom Cost for fine segmenter : format \"match, subst, indels, del_end, homo\" (default " + string_of_cost(DEFAULT_SEGMENT_COST) + ")")
"use custom Cost for clone analysis: format \"match, subst, indels, del_end, homo\" (default " + string_of_cost(DEFAULT_SEGMENT_COST) + ")")
-> group(group) -> level() -> set_type_name("COST");
double expected_value_D = THRESHOLD_NB_EXPECTED_D;
app.add_option("-E", expected_value_D,
app.add_option("--analysis-e-value-D,-E", expected_value_D,
"maximal e-value for determining if a D segment can be trusted", true)
-> group(group) -> level();
int kmer_threshold = DEFAULT_KMER_THRESHOLD;
app.add_option("-Z", kmer_threshold,
"typical number of V genes, selected by k-mer comparison, to compare to the read ('" NO_LIMIT "': all genes)", true)
app.add_option("--analysis-filter", kmer_threshold,
"typical number of V genes, filtered by k-mer comparison, to compare to the read ('" NO_LIMIT "': all genes)", true)
-> group(group) -> transform(string_NO_LIMIT) -> level();
bool several_D = false;
app.add_flag("-d,--several-D", several_D, "try to detect several D (experimental)") -> group(group);
bool detect_CDR3 = false;
app.add_flag("-3,--cdr3", detect_CDR3, "CDR3/JUNCTION detection (requires gapped V/J germlines)")
-> group(group);
......@@ -506,19 +501,19 @@ int main (int argc, char **argv)
int epsilon = DEFAULT_EPSILON ;
int minPts = DEFAULT_MINPTS ;
app.add_option("-n", epsilon, "minimum required neighbors for automatic clustering. No automatic clusterisation if =0.", true) -> group(group) -> level();
app.add_option("-N", minPts, "minimum required neighbors for automatic clustering", true) -> group(group) -> level();
app.add_option("--cluster-epsilon", epsilon, "minimum required neighbors for automatic clustering. No automatic clusterisation if =0.", true) -> group(group) -> level();
app.add_option("--cluster-N", minPts, "minimum required neighbors for automatic clustering", true) -> group(group) -> level();
bool save_comp = false;
bool load_comp = false;
app.add_flag("-S", save_comp, "generate and save comparative matrix for clustering") -> group(group) -> level();
app.add_flag("-L", load_comp, "load comparative matrix for clustering") -> group(group) -> level();
app.add_flag("--cluster-save-matrix", save_comp, "generate and save comparative matrix for clustering") -> group(group) -> level();
app.add_flag("--cluster-load-matrix", load_comp, "load comparative matrix for clustering") -> group(group) -> level();
string forced_edges = "" ;
app.add_option("--forced-edges", forced_edges, "manual clustering -- a file used to force some specific edges") -> group(group) -> level() -> set_type_name("FILE");
app.add_option("--cluster-forced-edges", forced_edges, "manual clustering -- a file used to force some specific edges") -> group(group) -> level() -> set_type_name("FILE");
Cost cluster_cost = DEFAULT_CLUSTER_COST ;
app.add_option("-C",
app.add_option("--cluster-cost",
[&cluster_cost](CLI::results_t res) {
cluster_cost = strToCost(res[0].c_str(), Cluster);
return true;
......@@ -531,28 +526,31 @@ int main (int argc, char **argv)
group = "Detailed output per read (generally not recommended, large files, but may be used for filtering, as in -uu -X 1000)";
bool output_segmented = false;
app.add_flag("-U", output_segmented,
"output segmented reads (in " SEGMENTED_FILENAME " file)")
app.add_flag("--out-analyzed,-U", output_segmented,
"output analyzed reads (in " SEGMENTED_FILENAME " file)")
-> group(group);
bool output_unsegmented = false;
bool output_unsegmented_detail = false;
bool output_unsegmented_detail_full = false;
app.add_flag_function("-u", [&](size_t n) {
app.add_flag_function("--out-unanalyzed,-u", [&](size_t n) {
output_unsegmented = (n >= 3); // -uuu
output_unsegmented_detail_full = (n >= 2); // -uu
output_unsegmented_detail = (n >= 1); // -u
}, R"Z(
-u output unsegmented reads, gathered by unsegmentation cause, except for very short and 'too few V/J' reads (in *)Z" UNSEGMENTED_DETAIL_FILENAME R"Z( files)
-uu output unsegmented reads, gathered by unsegmentation cause, all reads (in *)Z" UNSEGMENTED_DETAIL_FILENAME R"Z( files) (use only for debug)
-uuu output unsegmented reads, all reads, including a )Z" UNSEGMENTED_FILENAME R"Z( file (use only for debug))Z")
-u output unanalyzed reads, gathered by cause, except for very short and 'too few V/J' reads (in *)Z" UNSEGMENTED_DETAIL_FILENAME R"Z( files)
-uu output unanalyzed reads, gathered by cause, all reads (in *)Z" UNSEGMENTED_DETAIL_FILENAME R"Z( files) (use only for debug)
-uuu output unanalyzed reads, all reads, including a )Z" UNSEGMENTED_FILENAME R"Z( file (use only for debug))Z")
-> group(group);
bool output_sequences_by_cluster = false;
app.add_flag("--out-reads", output_sequences_by_cluster, "output all reads by clones (" CLONE_FILENAME "*), to be used only on small datasets") -> group(group);
bool output_affects = false;
app.add_flag("-K", output_affects,
"output detailed k-mer affectation on all reads (in " AFFECTS_FILENAME " file) (use only for debug, for example -KX 100)")
-> group(group);
app.add_flag("--out-affects,-K", output_affects,
"output detailed k-mer affectation for each read (in " AFFECTS_FILENAME " file) (use only for debug, for example -KX 100)")
-> group(group) -> level();
// ----------------------------------------------------------------------------------------------------------------------
......@@ -561,24 +559,22 @@ int main (int argc, char **argv)
string out_dir = DEFAULT_OUT_DIR;
string f_basename = "";
app.add_option("-o", out_dir, "output directory", true) -> group(group) -> set_type_name("PATH");
app.add_option("-b", f_basename, "output basename (by default basename of the input file)") -> group(group) -> set_type_name("STRING");
app.add_option("--dir,-o", out_dir, "output directory", true) -> group(group) -> set_type_name("PATH");
app.add_option("--base,-b", f_basename, "output basename (by default basename of the input file)") -> group(group) -> set_type_name("STRING");
bool output_sequences_by_cluster = false;
app.add_flag("-a", output_sequences_by_cluster, "output all sequences by cluster (" CLONE_FILENAME "*), to be used only on small datasets") -> group(group);
int verbose = 0 ;
app.add_flag_function("-v", [&](size_t n) { verbose += n ; }, "verbose mode") -> group(group);
app.add_flag_function("--verbose,-v", [&](size_t n) { verbose += n ; }, "verbose mode") -> group(group);
bool __only_on_exit__clean_memory; // Do not use except on exit, see #3729
app.add_flag("--clean-memory", __only_on_exit__clean_memory, "clean memory on exit") -> group(group) -> level();
// ----------------------------------------------------------------------------------------------------------------------
group = "Help";
app.set_help_flag("-h", "help")
app.set_help_flag("--help,-h", "help")
-> group(group);
app.add_flag_function("-H", [&](size_t n) { UNUSED(n); throw CLI::CallForAdvancedHelp() ; },
app.add_flag_function("--help-advanced,-H", [&](size_t n) { UNUSED(n); throw CLI::CallForAdvancedHelp() ; },
"help, including advanced and experimental options"
"\n "
"The full help is available in " DOCUMENTATION ".")
......
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