switch to version 3.0.0b26

when exporting in tabular format and tuple formatting is cleaner

MANIFEST.in

@@ -6,7 +6,7 @@ recursive-include doc/sphinx/source *.txt *.rst *.py
 recursive-include doc/sphinx/sphinxext *.py
 include doc/sphinx/Makefile
 include doc/sphinx/Doxyfile
-include README.txt
+include README.md
 include requirements.txt
 include scripts/obi
 

python/obitools3/commands/annotate.pyx

@@ -13,7 +13,8 @@ from obitools3.dms.capi.obiview cimport NUC_SEQUENCE_COLUMN, \
                                         ID_COLUMN, \
                                         DEFINITION_COLUMN, \
                                         QUALITY_COLUMN, \
-                                        COUNT_COLUMN
+                                        COUNT_COLUMN, \
+                                        TAXID_COLUMN
 
 import time
 import math 
@@ -175,8 +176,8 @@ def sequenceTaggerGenerator(config, taxo=None):
             counter[0]+=1
                             
         for rank in annoteRank:
-            if 'taxid' in seq:
+            if TAXID_COLUMN in seq:
-                taxid = seq['taxid']
+                taxid = seq[TAXID_COLUMN]
                 if taxid is not None:
                     rtaxid = taxo.get_taxon_at_rank(taxid, rank)
                     if rtaxid is not None:

python/obitools3/commands/ecopcr.pyx

@@ -35,12 +35,14 @@ def addOptions(parser):
                        action="store", dest="ecopcr:primer1",
                        metavar='<PRIMER>',
                        type=str,
+                       required=True,
                        help="Forward primer, length must be less than or equal to 32")
 
     group.add_argument('--primer2', '-R',
                        action="store", dest="ecopcr:primer2",
                        metavar='<PRIMER>',
                        type=str,
+                       required=True,
                        help="Reverse primer, length must be less than or equal to 32")
 
     group.add_argument('--error', '-e',

python/obitools3/commands/ecotag.pyx

@@ -107,8 +107,8 @@ def run(config):
     comments = View.print_config(config, "ecotag", command_line, input_dms_name=input_dms_name, input_view_name=input_view_name)
 
     if obi_ecotag(i_dms.name_with_full_path, tobytes(i_view_name), \
-                  tobytes(ref_dms_name), tobytes(ref_view_name), \
+                  ref_dms.name_with_full_path, tobytes(ref_view_name), \
-                  tobytes(taxo_dms_name), tobytes(taxonomy_name), \
+                  taxo_dms.name_with_full_path, tobytes(taxonomy_name), \
                   tobytes(o_view_name), comments, 
                   config['ecotag']['threshold']) < 0:
         raise Exception("Error running ecotag")

python/obitools3/commands/grep.pyx

@@ -161,8 +161,7 @@ def obi_eval(compiled_expr, loc_env, line):
     return obi_eval_result
     
 
-def Filter_generator(options, tax_filter):
+def Filter_generator(options, tax_filter, i_view):
-    #taxfilter = taxonomyFilterGenerator(options)
 
     # Initialize conditions
     predicates = None
@@ -171,6 +170,9 @@ def Filter_generator(options, tax_filter):
     attributes = None
     if "attributes" in options and len(options["attributes"]) > 0:
         attributes = options["attributes"]
+        for attribute in attributes:
+            if attribute not in i_view:
+                return None
     lmax = None
     if "lmax" in options:
         lmax = options["lmax"]
@@ -196,6 +198,8 @@ def Filter_generator(options, tax_filter):
     if "attribute_patterns" in options and len(options["attribute_patterns"]) > 0:
         for p in options["attribute_patterns"]:
             attribute, pattern = p.split(":", 1)
+            if attribute not in i_view:
+                return None
             attribute_patterns[tobytes(attribute)] = re.compile(tobytes(pattern))
     
     def filter(line, loc_env):
@@ -324,8 +328,16 @@ def run(config):
  
     # Apply filter
     tax_filter = Taxonomy_filter_generator(taxo, config["grep"])
-    filter = Filter_generator(config["grep"], tax_filter)
+    filter = Filter_generator(config["grep"], tax_filter, i_view)        
     selection = Line_selection(i_view)
+    
+    if filter is None and config["grep"]["invert_selection"]: # all sequences are selected: filter is None if no line will be selected because some columns don't exist
+        for i in range(len(i_view)):
+            PyErr_CheckSignals()
+            pb(i)
+            selection.append(i)        
+    
+    elif filter is not None :   # filter is None if no line will be selected because some columns don't exist
         for i in range(len(i_view)):
             PyErr_CheckSignals()
             pb(i)
@@ -338,7 +350,7 @@ def run(config):
             if good :
                 selection.append(i)
     
-    pb(i, force=True)
+    pb(len(i_view), force=True)
     print("", file=sys.stderr)
 
     # Create output view with the line selection

python/obitools3/commands/import.pyx

@@ -25,7 +25,8 @@ from obitools3.dms.capi.obiview cimport VIEW_TYPE_NUC_SEQS, \
                                         DEFINITION_COLUMN, \
                                         QUALITY_COLUMN, \
                                         COUNT_COLUMN, \
-                                        TAXID_COLUMN
+                                        TAXID_COLUMN, \
+                                        MERGED_PREFIX
                                         
 from obitools3.dms.capi.obidms cimport obi_import_view
 
@@ -72,7 +73,7 @@ def addOptions(parser):
                      action="store_true", dest="import:preread",
                      default=False,
                      help="Do a first readthrough of the dataset if it contains huge dictionaries (more than 100 keys) for "
-                          "a much faster import.")
+                          "a much faster import. This option is not recommended and will slow down the import in any other case.")
 
 
 def run(config):
@@ -163,7 +164,7 @@ def run(config):
         taxo.write(taxo_name)
         taxo.close()
         o_dms.record_command_line(" ".join(sys.argv[1:]))
-        o_dms.close()
+        o_dms.close(force=True)
         logger("info", "Done.")
         return
 
@@ -217,11 +218,14 @@ def run(config):
                 logger("info", "Read %d entries", i)
     
             for tag in entry :
+                newtag = tag
+                if tag[:7] == b"merged_":
+                    newtag = MERGED_PREFIX+tag[7:]
                 if type(entry[tag]) == dict :
                     if tag in dict_dict:
-                        dict_dict[tag][0].update(entry[tag].keys())
+                        dict_dict[newtag][0].update(entry[tag].keys())
                     else:
-                        dict_dict[tag] = [set(entry[tag].keys()), get_obitype(entry[tag])]
+                        dict_dict[newtag] = [set(entry[tag].keys()), get_obitype(entry[tag])]
             i+=1
         
         if pb is not None:
@@ -232,7 +236,7 @@ def run(config):
             dcols[tag] = (Column.new_column(view, tag, dict_dict[tag][1], \
                               nb_elements_per_line=len(dict_dict[tag][0]), \
                               elements_names=list(dict_dict[tag][0])), \
-                          value_obitype)
+                          dict_dict[tag][1])
     
         
         # Reinitialize the input
@@ -256,7 +260,6 @@ def run(config):
 
         if entry is None:  # error or exception handled at lower level, not raised because Python generators can't resume after any exception is raised
             if config['obi']['skiperror']:
-                i-=1
                 continue
             else:
                 raise RollbackException("obi import error, rollbacking view", view)
@@ -266,6 +269,8 @@ def run(config):
         elif not i%50000:
             logger("info", "Imported %d entries", i)
         
+        try:
+             
             if NUC_SEQS_view: 
                 id_col[i] = entry.id
                 def_col[i] = entry.definition
@@ -288,6 +293,8 @@ def run(config):
                         tag = TAXID_COLUMN
                     if tag == b"count":
                         tag = COUNT_COLUMN
+                    if tag[:7] == b"merged_":
+                        tag = MERGED_PREFIX+tag[7:]
                         
                     if tag not in dcols :
                          
@@ -328,8 +335,8 @@ def run(config):
                         try:
                             # Check that it's not the case where the first entry contained a dict of length 1 and now there is a new key                        
                             if type(value) == dict and \
-                            dcols[tag][0].nb_elements_per_line == 1 and len(value.keys()) == 1 \
+                                dcols[tag][0].nb_elements_per_line == 1 \
-                            and dcols[tag][0].elements_names[0] != list(value.keys())[0] :
+                                and set(dcols[tag][0].elements_names) != set(value.keys()) :
                                 raise IndexError  # trigger column rewrite
                             
                             # Fill value
@@ -382,6 +389,13 @@ def run(config):
                                 # Fill value
                                 dcols[tag][0][i] = value
         
+        except Exception as e:
+            print("\nCould not import sequence id:", entry.id, "(error raised:", e, ")")
+            if 'skiperror' in config['obi'] and not config['obi']['skiperror']:
+                raise e
+            else:
+                pass
+        
         i+=1
  
     if pb is not None:
@@ -402,7 +416,7 @@ def run(config):
     except AttributeError:
         pass
     try:
-        output[0].close()
+        output[0].close(force=True)
     except AttributeError:
         pass
 

python/obitools3/commands/ls.pyx

@@ -34,9 +34,10 @@ def run(config):
     if input[2] == DMS and not config['ls']['longformat']:
         dms = input[0]
         l = []
-        for view in input[0]:
+        for viewname in input[0]:
-            l.append(tostr(view) + "\t(Date created: " + str(bytes2str_object(dms[view].comments["Date created"]))+")")
+            view = dms[viewname]
-            dms[view].close()
+            l.append(tostr(viewname) + "\t(Date created: " + str(bytes2str_object(view.comments["Date created"]))+")")
+            view.close()
         l.sort()
         for v in l:
             print(v)

python/obitools3/commands/ngsfilter.pyx

@@ -42,8 +42,9 @@ def addOptions(parser):
                      metavar="<URI>",
                      type=str,
                      default=None,
-                     help="URI to the view containing the samples definition (with tags, primers, sample names,...)"
+                     required=True,
-                          "Warning: primer lengths must be less than or equal to 32")
+                     help="URI to the view containing the samples definition (with tags, primers, sample names,...).\n"
+                          "\nWarning: primer lengths must be less than or equal to 32")
 
     group.add_argument('-R', '--reverse-reads',
                      action="store", dest="ngsfilter:reverse",
@@ -478,6 +479,8 @@ cdef tuple annotate(sequences, infos, no_tags, verbose=False):
     if not directmatch[0].forward:
         sequences[0] = sequences[0].reverse_complement
         sequences[0][b'reversed'] = True   # used by the alignpairedend tool (in kmer_similarity.c)
+    else:
+        sequences[0][b'reversed'] = False   # used by the alignpairedend tool (in kmer_similarity.c)
 
     sample=None
     if not no_tags:
@@ -505,7 +508,7 @@ cdef tuple annotate(sequences, infos, no_tags, verbose=False):
                     sample=None
         
         if sample is None:
-            sequences[0][b'error']=b"No tags found"
+            sequences[0][b'error']=b"No sample with that tag combination"
             return False, sequences[0]
     
         sequences[0].update(sample)

python/obitools3/commands/uniq.pxd

@@ -5,5 +5,5 @@ from obitools3.dms.taxo.taxo cimport Taxonomy
 from obitools3.dms.view.typed_view.view_NUC_SEQS cimport View_NUC_SEQS
 
 
-cdef merge_taxonomy_classification(View_NUC_SEQS o_view, Taxonomy taxonomy)
+cdef merge_taxonomy_classification(View_NUC_SEQS o_view, Taxonomy taxonomy, dict config)
-cdef uniq_sequences(View_NUC_SEQS view, View_NUC_SEQS o_view, ProgressBar pb, list mergedKeys_list=*, Taxonomy taxonomy=*, bint mergeIds=*, list categories=*, int max_elts=*)
+cdef uniq_sequences(View_NUC_SEQS view, View_NUC_SEQS o_view, ProgressBar pb, dict config, list mergedKeys_list=*, Taxonomy taxonomy=*, bint mergeIds=*, list categories=*, int max_elts=*)

python/obitools3/commands/uniq.pyx

@@ -56,7 +56,7 @@ def addOptions(parser):
                              "(option can be used several times).")
 
 
-cdef merge_taxonomy_classification(View_NUC_SEQS o_view, Taxonomy taxonomy) :
+cdef merge_taxonomy_classification(View_NUC_SEQS o_view, Taxonomy taxonomy, dict config) :
     
     cdef int             taxid
     cdef Nuc_Seq_Stored  seq
@@ -69,7 +69,7 @@ cdef merge_taxonomy_classification(View_NUC_SEQS o_view, Taxonomy taxonomy) :
     cdef object          gn_sn
     cdef object          fa_sn
 
-    # Create columns
+    # Create columns and save them for efficiency
     if b"species" in o_view and o_view[b"species"].data_type_int != OBI_INT :
         o_view.delete_column(b"species")
     if b"species" not in o_view:
@@ -77,6 +77,7 @@ cdef merge_taxonomy_classification(View_NUC_SEQS o_view, Taxonomy taxonomy) :
                           b"species", 
                           OBI_INT
                          )
+    species_column = o_view[b"species"]
 
     if b"genus" in o_view and o_view[b"genus"].data_type_int != OBI_INT :
         o_view.delete_column(b"genus")
@@ -85,6 +86,7 @@ cdef merge_taxonomy_classification(View_NUC_SEQS o_view, Taxonomy taxonomy) :
                           b"genus", 
                           OBI_INT
                          )
+    genus_column = o_view[b"genus"]
 
     if b"family" in o_view and o_view[b"family"].data_type_int != OBI_INT :
         o_view.delete_column(b"family")
@@ -93,6 +95,7 @@ cdef merge_taxonomy_classification(View_NUC_SEQS o_view, Taxonomy taxonomy) :
                           b"family", 
                           OBI_INT
                          )
+    family_column = o_view[b"family"]
 
     if b"species_name" in o_view and o_view[b"species_name"].data_type_int != OBI_STR :
         o_view.delete_column(b"species_name")
@@ -101,6 +104,7 @@ cdef merge_taxonomy_classification(View_NUC_SEQS o_view, Taxonomy taxonomy) :
                           b"species_name", 
                           OBI_STR
                          )
+    species_name_column = o_view[b"species_name"]
 
     if b"genus_name" in o_view and o_view[b"genus_name"].data_type_int != OBI_STR :
         o_view.delete_column(b"genus_name")
@@ -109,6 +113,7 @@ cdef merge_taxonomy_classification(View_NUC_SEQS o_view, Taxonomy taxonomy) :
                           b"genus_name", 
                           OBI_STR
                          )
+    genus_name_column = o_view[b"genus_name"]
 
     if b"family_name" in o_view and o_view[b"family_name"].data_type_int != OBI_STR :
         o_view.delete_column(b"family_name")
@@ -117,6 +122,7 @@ cdef merge_taxonomy_classification(View_NUC_SEQS o_view, Taxonomy taxonomy) :
                           b"family_name", 
                           OBI_STR
                          )
+    family_name_column = o_view[b"family_name"]
 
     if b"rank" in o_view and o_view[b"rank"].data_type_int != OBI_STR :
         o_view.delete_column(b"rank")
@@ -125,6 +131,7 @@ cdef merge_taxonomy_classification(View_NUC_SEQS o_view, Taxonomy taxonomy) :
                           b"rank", 
                           OBI_STR
                          )
+    rank_column = o_view[b"rank"]
 
     if b"scientific_name" in o_view and o_view[b"scientific_name"].data_type_int != OBI_STR :
         o_view.delete_column(b"scientific_name")
@@ -133,9 +140,15 @@ cdef merge_taxonomy_classification(View_NUC_SEQS o_view, Taxonomy taxonomy) :
                           b"scientific_name", 
                           OBI_STR
                          )
+    scientific_name_column = o_view[b"scientific_name"]  
     
+    # Initialize the progress bar
+    pb = ProgressBar(len(o_view), config, seconde=5)
+    
+    i=0
     for seq in o_view:
         PyErr_CheckSignals()
+        pb(i)
         if MERGED_TAXID_COLUMN in seq :
             m_taxids = []            
             m_taxids_dict = seq[MERGED_TAXID_COLUMN]
@@ -166,19 +179,22 @@ cdef merge_taxonomy_classification(View_NUC_SEQS o_view, Taxonomy taxonomy) :
                 fa_sn = None
                 tfa = None
             
-            seq[b"species"] = tsp
+            species_column[i] = tsp
-            seq[b"genus"] = tgn
+            genus_column[i] = tgn
-            seq[b"family"] = tfa
+            family_column[i] = tfa
                 
-            seq[b"species_name"] = sp_sn
+            species_name_column[i] = sp_sn
-            seq[b"genus_name"] = gn_sn
+            genus_name_column[i] = gn_sn
-            seq[b"family_name"] = fa_sn
+            family_name_column[i] = fa_sn
             
-            seq[b"rank"] = taxonomy.get_rank(taxid)
+            rank_column[i] = taxonomy.get_rank(taxid)
-            seq[b"scientific_name"] = taxonomy.get_scientific_name(taxid)
+            scientific_name_column[i] = taxonomy.get_scientific_name(taxid)
+        i+=1
+    
+    pb(len(o_view), force=True)
     
 
-cdef uniq_sequences(View_NUC_SEQS view, View_NUC_SEQS o_view, ProgressBar pb, list mergedKeys_list=None, Taxonomy taxonomy=None, bint mergeIds=False, list categories=None, int max_elts=1000000) :
+cdef uniq_sequences(View_NUC_SEQS view, View_NUC_SEQS o_view, ProgressBar pb, dict config, list mergedKeys_list=None, Taxonomy taxonomy=None, bint mergeIds=False, list categories=None, int max_elts=1000000) :
      
     cdef int            i
     cdef int            k
@@ -187,6 +203,7 @@ cdef uniq_sequences(View_NUC_SEQS view, View_NUC_SEQS o_view, ProgressBar pb, li
     cdef int            u_idx
     cdef int            i_idx
     cdef int            i_count
+    cdef int            o_count
     cdef str            key_str
     cdef bytes          key
     cdef bytes          mkey
@@ -209,7 +226,6 @@ cdef uniq_sequences(View_NUC_SEQS view, View_NUC_SEQS o_view, ProgressBar pb, li
     cdef Nuc_Seq_Stored i_seq
     cdef Nuc_Seq_Stored o_seq
     cdef Nuc_Seq_Stored u_seq
-    cdef Column         i_col
     cdef Column         i_seq_col
     cdef Column         i_id_col
     cdef Column         i_taxid_col
@@ -217,6 +233,8 @@ cdef uniq_sequences(View_NUC_SEQS view, View_NUC_SEQS o_view, ProgressBar pb, li
     cdef Column         o_id_col
     cdef Column         o_taxid_dist_col
     cdef Column         o_merged_col
+    cdef Column         o_count_col
+    cdef Column         i_count_col
     cdef Column_line    i_mcol  
     cdef object         taxid_dist_dict
     cdef object         iter_view
@@ -253,6 +271,11 @@ cdef uniq_sequences(View_NUC_SEQS view, View_NUC_SEQS o_view, ProgressBar pb, li
     for k in range(k_count):
         mergedKeys_m.append(MERGED_PREFIX + mergedKeys[k])
     
+    # Check that not trying to remerge without total count information
+    for key in mergedKeys_m:
+        if key in view and COUNT_COLUMN not in view:
+            raise Exception("\n>>>>\nError: trying to re-merge tags without total count tag. Run obi annotate to add the count tag from the relevant merged tag, i.e.: \nobi annotate --set-tag COUNT:'sum([value for key,value in sequence['MERGED_sample'].items()])' dms/input dms/output\n")
+    
     if categories is None:
         categories = []
  
@@ -320,6 +343,10 @@ cdef uniq_sequences(View_NUC_SEQS view, View_NUC_SEQS o_view, ProgressBar pb, li
     for k in range(k_count):
         key = mergedKeys[k]
         merged_col_name = mergedKeys_m[k]
+        
+        if merged_col_name in view:
+            i_col = view[merged_col_name]
+        else:
             i_col = view[key]
         
         if merged_infos[merged_col_name]['nb_elts'] > max_elts:
@@ -374,23 +401,30 @@ cdef uniq_sequences(View_NUC_SEQS view, View_NUC_SEQS o_view, ProgressBar pb, li
                           alias=MERGED_COLUMN
                          )
 
-    # Keep columns that are going to be used a lot in variables 
+    # Keep columns in variables for efficiency
     o_id_col = o_view[ID_COLUMN]
     if TAXID_DIST_COLUMN in o_view:
         o_taxid_dist_col = o_view[TAXID_DIST_COLUMN]
     if MERGED_COLUMN in o_view:
         o_merged_col = o_view[MERGED_COLUMN]
+    if COUNT_COLUMN not in o_view:
+        Column.new_column(o_view,
+                          COUNT_COLUMN,
+                          OBI_INT)
+    o_count_col = o_view[COUNT_COLUMN]
+    if COUNT_COLUMN in view:
+        i_count_col = view[COUNT_COLUMN]
         
     pb(len(view), force=True)
     print("")
     logger("info", "Second browsing through the input")
     # Initialize the progress bar
-    pb = ProgressBar(len(uniques), seconde=5)
+    pb = ProgressBar(len(view), seconde=5)
     o_idx = 0
+    total_treated = 0
     
     for unique_id in uniques :
         PyErr_CheckSignals()
-        pb(o_idx)
         
         merged_sequences = uniques[unique_id]
         
@@ -407,7 +441,7 @@ cdef uniq_sequences(View_NUC_SEQS view, View_NUC_SEQS o_view, ProgressBar pb, li
             merged_list = list(set(merged_list)) # deduplicate the list
             o_merged_col[o_idx] = merged_list
 
-        o_seq[COUNT_COLUMN] = 0
+        o_count = 0
 
         if TAXID_DIST_COLUMN in u_seq and i_taxid_dist_col[u_idx] is not None:
             taxid_dist_dict = i_taxid_dist_col[u_idx]
@@ -419,16 +453,17 @@ cdef uniq_sequences(View_NUC_SEQS view, View_NUC_SEQS o_view, ProgressBar pb, li
             merged_dict[mkey] = {}
 
         for i_idx in merged_sequences:
+            pb(total_treated)
  
             i_id = i_id_col[i_idx]
             i_seq = view[i_idx]
 
-            if COUNT_COLUMN not in i_seq or i_seq[COUNT_COLUMN] is None:
+            if COUNT_COLUMN not in i_seq or i_count_col[i_idx] is None:
                 i_count = 1
             else:
-                i_count = i_seq[COUNT_COLUMN]
+                i_count = i_count_col[i_idx]
  
-            o_seq[COUNT_COLUMN] += i_count
+            o_count += i_count
         
             for k in range(k_count):
                                 
@@ -464,12 +499,14 @@ cdef uniq_sequences(View_NUC_SEQS view, View_NUC_SEQS o_view, ProgressBar pb, li
                             else:
                                 mcol[key2] = mcol[key2] + i_mcol[key2]
                                         
-            # Write taxid_dist
+            for key in i_seq.keys():
-            if mergeIds and TAXID_COLUMN in mergedKeys:
+                # Delete informations that differ between the merged sequences
-                if TAXID_DIST_COLUMN in str_merged_cols:
+                # TODO make special columns list? // could be more efficient
-                    o_taxid_dist_col[o_idx] = str(taxid_dist_dict)
+                if key != COUNT_COLUMN and key != ID_COLUMN and key != NUC_SEQUENCE_COLUMN and key in o_seq and o_seq[key] != i_seq[key] \
-                else:
+                    and key not in merged_dict :
-                    o_taxid_dist_col[o_idx] = taxid_dist_dict
+                    o_seq[key] = None
+            
+            total_treated += 1
             
         # Write merged dicts
         for mkey in merged_dict: 
@@ -482,25 +519,33 @@ cdef uniq_sequences(View_NUC_SEQS view, View_NUC_SEQS o_view, ProgressBar pb, li
                 #    if mkey_cols[mkey][o_idx][key] is None:
                 #        mkey_cols[mkey][o_idx][key] = 0
 
-            for key in i_seq.keys():
+        # Write taxid_dist
-                # Delete informations that differ between the merged sequences
+        if mergeIds and TAXID_COLUMN in mergedKeys:
-                # TODO make special columns list?
+            if TAXID_DIST_COLUMN in str_merged_cols:
-                if key != COUNT_COLUMN and key != ID_COLUMN and key != NUC_SEQUENCE_COLUMN and key in o_seq and o_seq[key] != i_seq[key] \
+                o_taxid_dist_col[o_idx] = str(taxid_dist_dict)
-                    and key not in merged_dict :
+            else:
-                    o_seq[key] = None
+                o_taxid_dist_col[o_idx] = taxid_dist_dict
                 
+        o_count_col[o_idx] = o_count
         o_idx += 1
     
+    pb(len(view), force=True)
+    
     # Deletes quality columns if there is one because the matching between sequence and quality will be broken (quality set to NA when sequence not)
     if QUALITY_COLUMN in view:
         o_view.delete_column(QUALITY_COLUMN)
     if REVERSE_QUALITY_COLUMN in view:
         o_view.delete_column(REVERSE_QUALITY_COLUMN)
     
+    # Delete old columns that are now merged
+    for k in range(k_count):
+        if mergedKeys[k] in o_view:
+            o_view.delete_column(mergedKeys[k])
+    
     if taxonomy is not None:
         print("")  # TODO because in the middle of progress bar. Better solution?
         logger("info", "Merging taxonomy classification")
-        merge_taxonomy_classification(o_view, taxonomy)
+        merge_taxonomy_classification(o_view, taxonomy, config)
 
 
 
@@ -546,12 +591,12 @@ def run(config):
     # Initialize the progress bar
     pb = ProgressBar(len(entries), config, seconde=5)
     
+    if len(entries) > 0:
         try:
-        uniq_sequences(entries, o_view, pb, mergedKeys_list=config['uniq']['merge'], taxonomy=taxo, mergeIds=config['uniq']['mergeids'], categories=config['uniq']['categories'], max_elts=config['obi']['maxelts'])       
+            uniq_sequences(entries, o_view, pb, config, mergedKeys_list=config['uniq']['merge'], taxonomy=taxo, mergeIds=config['uniq']['mergeids'], categories=config['uniq']['categories'], max_elts=config['obi']['maxelts'])       
         except Exception, e:
             raise RollbackException("obi uniq error, rollbacking view: "+str(e), o_view)
     
-    pb(len(entries), force=True)
     print("", file=sys.stderr)
 
     # Save command config in View and DMS comments
@@ -567,8 +612,8 @@ def run(config):
     #print("\n\nOutput view:\n````````````", file=sys.stderr)
     #print(repr(o_view), file=sys.stderr)
     
-    input[0].close()
+    input[0].close(force=True)
-    output[0].close()
+    output[0].close(force=True)
 
     logger("info", "Done.")
 

python/obitools3/dms/capi/obidmscolumn.pxd

@@ -63,6 +63,8 @@ cdef extern from "obidmscolumn.h" nogil:
     
     char* obi_get_elements_names(OBIDMS_column_p column)
     
+    char* obi_column_formatted_infos(OBIDMS_column_p column)
+
     index_t obi_column_get_element_index_from_name(OBIDMS_column_p column, const char* element_name)
     
     int obi_column_write_comments(OBIDMS_column_p column, const char* comments)

python/obitools3/dms/column/column.pxd

@@ -22,6 +22,7 @@ cdef class Column(OBIWrapper) :
     
     cdef inline OBIDMS_column_p pointer(self)
     cdef read_elements_names(self)
+    cpdef list keys(self)
     
     @staticmethod
     cdef type get_column_class(obitype_t obitype, bint multi_elts, bint tuples)

python/obitools3/dms/column/column.pyx

@@ -14,6 +14,7 @@ from ..capi.obidms cimport obi_import_column
 from ..capi.obidmscolumn cimport OBIDMS_column_header_p, \
                                  obi_close_column, \
                                  obi_get_elements_names, \
+                                 obi_column_formatted_infos, \
                                  obi_column_write_comments
                                      
 from ..capi.obiutils cimport obi_format_date
@@ -288,7 +289,13 @@ cdef class Column(OBIWrapper) :
     @OBIWrapper.checkIsActive
     def __repr__(self) :
         cdef bytes s
+        #cdef char* s_b
+        #cdef str s_str
+        #s_b = obi_column_formatted_infos(self.pointer())
+        #s_str = bytes2str(s_b)
+        #free(s_b)
         s = self._alias + b", data type: " + self.data_type
+        #return s_str
         return bytes2str(s)
     
          
@@ -316,6 +323,9 @@ cdef class Column(OBIWrapper) :
         free(elts_names_b)
         return elts_names_list
     
+    cpdef list keys(self):
+        return self._elements_names
+
 
     # Column alias property getter and setter
     @property

python/obitools3/dms/dms.pyx

@@ -227,7 +227,9 @@ cdef class DMS(OBIWrapper):
         cdef str s 
         s=""
         for view_name in self.keys():
-            s = s + repr(self.get_view(view_name)) + "\n"
+            view = self.get_view(view_name)
+            s = s + repr(view) + "\n"
+            view.close()
         return s
     
 

python/obitools3/dms/view/view.pyx

@@ -531,6 +531,7 @@ cdef class View(OBIWrapper) :
         for level in self.view_history:
             command_list = [level[input][b"command_line"] for input in level.keys()]
             for command in command_list:
+                s+=b"obi "
                 s+=command
                 s+=b"\n"
         return s

python/obitools3/format/tab.pyx

@@ -3,7 +3,7 @@
 cimport cython
 from obitools3.dms.view.view cimport Line
 from obitools3.utils cimport bytes2str_object, str2bytes, tobytes
-from obitools3.dms.column.column cimport Column_line
+from obitools3.dms.column.column cimport Column_line, Column_multi_elts
 
 
 cdef class TabFormat:
@@ -25,18 +25,28 @@ cdef class TabFormat:
         for k in self.tags:
             
             if self.header and self.first_line:
-                value = tobytes(k)
+                if isinstance(data.view[k], Column_multi_elts):
+                    for k2 in data.view[k].keys():
+                        line.append(tobytes(k)+b':'+tobytes(k2))
+                else:
+                    line.append(tobytes(k))
             else:
                 value = data[k]
-                if value is not None:
+                if isinstance(data.view[k], Column_multi_elts):
-                    if type(value) == Column_line:
+                    if value is None:  # all keys at None
-                        value = value.bytes()
+                        for k2 in data.view[k].keys(): # TODO could be much more efficient
+                            line.append(self.NAString)
                     else:
-                        value = str2bytes(str(bytes2str_object(value))) # genius programming
+                        for k2 in data.view[k].keys(): # TODO could be much more efficient
-                if value is None:
+                            if value[k2] is not None:
-                    value = self.NAString
+                                line.append(str2bytes(str(bytes2str_object(value[k2]))))  # genius programming
-            
+                            else:
-            line.append(value)
+                                line.append(self.NAString)
+                else:
+                    if value is not None:
+                        line.append(str2bytes(str(bytes2str_object(value))))
+                    else:
+                        line.append(self.NAString)
                   	
         if self.first_line:
             self.first_line = False

python/obitools3/libalign/_solexapairend.pyx

@@ -188,7 +188,7 @@ def buildConsensus(ali, seq, ref_tags=None):
         seq[b'shift']=ali.shift
     else:
         if len(ali[0])>999:   # TODO why?
-            raise AssertionError,"Too long alignemnt"
+            raise AssertionError,"Too long alignment"
     
         ic=IterOnConsensus(ali)
     
@@ -250,11 +250,21 @@ def buildJoinedSequence(ali, reverse, seq, forward=None):
     quality.extend(reverse.quality)
     seq.set(forward.id +b"_PairedEnd", s, definition=forward.definition, quality=quality)
     seq[b"score"]=ali.score
+    if len(ali.direction) > 0:
         seq[b"ali_direction"]=ali.direction
+    else:
+        seq[b"ali_direction"]=None
     seq[b"mode"]=b"joined"
     seq[b"pairedend_limit"]=len(forward)
+    seq[b"ali_length"] = ali.consensus_len
+    if ali.consensus_len > 0:
+        seq[b"score_norm"]=float(ali.score)/ali.consensus_len
+    else:
+        seq[b"score_norm"]=0.0
+  
     for tag in forward:
-        if tag != REVERSE_SEQUENCE_COLUMN and tag != REVERSE_QUALITY_COLUMN:
+        if tag != REVERSE_SEQUENCE_COLUMN and tag != REVERSE_QUALITY_COLUMN and \
+            tag != NUC_SEQUENCE_COLUMN and tag != QUALITY_COLUMN:
             seq[tag] = forward[tag]
     return seq
 

python/obitools3/parsers/embl.pyx

@@ -177,7 +177,7 @@ def emblIterator_dir(dir_path,
     for filename in files:
         if read==only:
             return
-        print("Parsing file %s (%d/%d)" % (tostr(filename), read_files, len(files)))
+        print("Parsing file %s (%d/%d)" % (tostr(filename), read_files+1, len(files)))
         f = uopen(filename)
         if only is not None:
             only_f = only-read

python/obitools3/parsers/fasta.pyx

@@ -104,6 +104,7 @@ def fastaNucIterator(lineiterator,
     cdef bytes      sequence
     cdef int        skipped, ionly, read
     cdef Nuc_Seq    seq
+    cdef bint       stop
     
     if only is None:
         ionly = -1
@@ -130,7 +131,8 @@ def fastaNucIterator(lineiterator,
     else:
         line = firstline       
     
-    while True:
+    stop=False
+    while not stop:
                 
         if ionly >= 0 and read >= ionly:
             break
@@ -153,7 +155,7 @@ def fastaNucIterator(lineiterator,
                 s.append(line[0:-1])
                 line = next(iterator)
         except StopIteration:
-            pass
+            stop=True
         
         sequence  = b"".join(s)        
         

python/obitools3/parsers/genbank.pyx

@@ -25,8 +25,9 @@ from libc.string cimport strcpy, strlen
 _featureMatcher = re.compile(b'^FEATURES.+\n(?=ORIGIN)',re.DOTALL + re.M)
 
 _headerMatcher = re.compile(b'^LOCUS.+(?=\nFEATURES)', re.DOTALL + re.M)
-_seqMatcher    = re.compile(b'(?<=ORIGIN).+(?=//\n)', re.DOTALL + re.M)
+_seqMatcher    = re.compile(b'ORIGIN.+(?=//\n)', re.DOTALL + re.M)
-_cleanSeq      = re.compile(b'[ \n0-9]+')
+_cleanSeq1     = re.compile(b'ORIGIN.+\n')
+_cleanSeq2     = re.compile(b'[ \n0-9]+')
 _acMatcher     = re.compile(b'(?<=^ACCESSION   ).+',re.M)
 _deMatcher     = re.compile(b'(?<=^DEFINITION  ).+\n( .+\n)*',re.M)
 _cleanDe       = re.compile(b'\n *')
@@ -42,7 +43,8 @@ def genbankParser(bytes text):
         ft     = _featureMatcher.search(text).group()
         
         s      = _seqMatcher.search(text).group()
-        s      = _cleanSeq.sub(b'', s).upper()
+        s      = _cleanSeq1.sub(b'', s)
+        s      = _cleanSeq2.sub(b'', s)
         
         acs    = _acMatcher.search(text).group()
         acs    = acs.split()
@@ -52,12 +54,6 @@ def genbankParser(bytes text):
         de     = _deMatcher.search(header).group()
         de     = _cleanDe.sub(b' ',de).strip().strip(b'.')
     
-    except Exception as e:
-        print("\nCould not import sequence id:", text.split()[1], "(error raised:", e, ")")
-        # Do not raise any Exception if you need the possibility to resume the generator
-        # (Python generators can't resume after any exception is raised)
-        return None
-    
         tags = {}
         extractTaxon(ft, tags)
             
@@ -68,6 +64,12 @@ def genbankParser(bytes text):
                       offset=-1,
                       tags=tags)
     
+    except Exception as e:
+        print("\nCould not import sequence id:", text.split()[1], "(error raised:", e, ")")
+        # Do not raise any Exception if you need the possibility to resume the generator
+        # (Python generators can't resume after any exception is raised)
+        return None
+
     return seq
 
 
@@ -171,10 +173,12 @@ def genbankIterator_dir(dir_path,
     read = 0
     read_files = 0
     files = [filename for filename in glob.glob(os.path.join(path, b'*.gbff*'))]
+    files.extend([filename for filename in glob.glob(os.path.join(path, b'*.seq*'))])  # new genbank extension
+    files = list(set(files))
     for filename in files:
         if read==only:
             return
-        print("Parsing file %s (%d/%d)" % (tostr(filename), read_files, len(files)))
+        print("Parsing file %s (%d/%d)" % (tostr(filename), read_files+1, len(files)))
         f = uopen(filename)
         if only is not None:
             only_f = only-read

python/obitools3/utils.pyx

@@ -166,7 +166,9 @@ cdef object bytes2str_object(object value):  # Only works if complex types are d
                     value[k] = bytes2str(v)
             if type(k) == bytes:
                 value[bytes2str(k)] = value.pop(k)
-    elif isinstance(value, list):
+    elif isinstance(value, list) or isinstance(value, tuple):
+        if isinstance(value, tuple):
+            value = list(value)
         for i in range(len(value)):
             if isinstance(value[i], list) or isinstance(value[i], dict):
                 value[i] = bytes2str_object(value[i])

python/obitools3/version.py

@@ -1,5 +1,5 @@
 major = 3
 minor = 0
-serial= '0-beta15'
+serial= '0b26'
 
-version ="%d.%02d.%s" % (major,minor,serial)
+version ="%d.%d.%s" % (major,minor,serial)

requirements.txt

@@ -0,0 +1,5 @@
+--extra-index-url https://pypi.python.org/simple/
+Cython>=0.24
+Sphinx>=1.2.0
+ipython>=3.0.0
+breathe>=4.0.0

setup.py

@@ -5,7 +5,8 @@ import re
 import subprocess
 
 from distutils import log
-from distutils.core import setup
+#from distutils.core import setup
+from setuptools import setup    # to work with pip
 
 from distutils.core import Extension
 from distutils.sysconfig import get_python_lib
@@ -26,10 +27,11 @@ class Distribution(ori_Distribution):
         
         ori_Distribution.__init__(self, attrs)
         
-        self.global_options.insert(0,('cobitools3', None, "intall location of the C library"
+        self.global_options.insert(0,('cobitools3', None, "install location of the C library"
                                      ))
 
 from distutils.command.build import build as build_ori
+from setuptools.command.bdist_egg import bdist_egg as bdist_egg_ori
 from distutils.core import Command
 
 
@@ -70,6 +72,12 @@ class build(build_ori):
         build_ori.run(self)
 
 
+class bdist_egg(bdist_egg_ori):
+    def run(self):
+        self.run_command('build_clib')
+        bdist_egg_ori.run(self)
+
+
 sys.path.append(os.path.abspath("python"))
 
 
@@ -88,9 +96,10 @@ PACKAGE     = "OBITools3"
 VERSION     = version
 AUTHOR      = 'Celine Mercier'
 EMAIL       = 'celine.mercier@metabarcoding.org'
-URL         = "http://metabarcoding.org/obitools3"
+URL         = "https://metabarcoding.org/obitools3"
+PLATFORMS   = "posix"
 LICENSE     = "CeCILL-V2"
-DESCRIPTION = "Tools and library for DNA metabarcoding",
+DESCRIPTION = "A package for the management of analyses and data in DNA metabarcoding."
 PYTHONMIN   = '3.5'
 
 SRC       = 'python'
@@ -147,17 +156,24 @@ classifiers=['Development Status :: 4 - Beta',
              'Topic :: Utilities',
              ]
 
+with open("README.md", "r") as fh:
+    long_description = fh.read()
+
 setup(name=PACKAGE,
       description=DESCRIPTION,
+      long_description=long_description,
+      long_description_content_type="text/markdown",
       classifiers=classifiers,
       version=VERSION,
       author=AUTHOR,
       author_email=EMAIL,
+      platforms=PLATFORMS,
       license=LICENSE,
       url=URL,
       ext_modules=xx,
       distclass=Distribution,
       cmdclass={'build': build,
+                'bdist_egg': bdist_egg,
                 'build_clib': build_clib},
       cobitools3=get_python_lib(),
       packages = findPackage('python'),

src/kmer_similarity.c

@@ -413,7 +413,10 @@ Obi_ali_p kmer_similarity(Obiview_p view1, OBIDMS_column_p column1, index_t idx1
 	 	return NULL;
 	}
 
+	if (max_common_kmers > 0)
 		score = max_common_kmers + kmer_size - 1;  // aka the number of nucleotides in the longest stretch of kmers perfectly matching
+	else
+		score = 0;
 	abs_shift = abs(best_shift);
 
 	// Save result in Obi_ali structure
@@ -423,10 +426,15 @@ Obi_ali_p kmer_similarity(Obiview_p view1, OBIDMS_column_p column1, index_t idx1
 	ali->shift = abs_shift;
 	ali->consensus_seq = NULL;
 	ali->consensus_qual = NULL;
+	if (score == 0)
+		ali->direction[0] = '\0';
+	else
+	{
 		if (((best_shift <= 0) && (!switched_seqs)) || ((best_shift > 0) && switched_seqs))
 			strcpy(ali->direction, "left");
 		else
 			strcpy(ali->direction, "right");
+	}
 
 	// Build the consensus sequence if asked
 	if (build_consensus)

src/obi_ecotag.c

@@ -71,9 +71,12 @@ static int create_output_columns(Obiview_p o_view);
  * @param name The assigned scientific name.
  * @param assigned_status_column A pointer on the column where the assigned status should be written.
  * @param assigned The assigned status (whether the sequence was assigned to a taxon or not).
- * @param best_match_column A pointer on the column where the list of ids of the best matches should be written.
+ * @param best_match_ids_column A pointer on the column where the list of ids of the best matches should be written.
  * @param best_match_ids The list of ids of the best matches as an array of the concatenated ids separated by '\0'.
  * @param best_match_ids_length The total length of the array of ids of best matches.
+ * @param best_match_taxids_column A pointer on the column where the list of taxids of the best matches should be written.
+ * @param best_match_taxids The list of taxids of the best matches as an array of the taxids.
+ * @param best_match_taxids_length The length of the array of taxids of best matches.
  * @param score_column A pointer on the column where the score should be written.
  * @param score The similarity score of the sequence with its best match(es).
  *
@@ -87,7 +90,8 @@ int print_assignment_result(Obiview_p output_view, index_t line,
 							OBIDMS_column_p assigned_taxid_column, int32_t taxid,
 							OBIDMS_column_p assigned_name_column, const char* name,
 							OBIDMS_column_p assigned_status_column, bool assigned,
-							OBIDMS_column_p best_match_column, const char* best_match_ids, int best_match_ids_length,
+							OBIDMS_column_p best_match_ids_column, const char* best_match_ids, int best_match_ids_length,
+							OBIDMS_column_p best_match_taxids_column, const int32_t* best_match_taxids, int best_match_taxids_length,
 							OBIDMS_column_p score_column, double score);
 
 
@@ -130,7 +134,14 @@ static int create_output_columns(Obiview_p o_view)
 	// Column for array of best match ids
 	if (obi_view_add_column(o_view, ECOTAG_BEST_MATCH_IDS_COLUMN_NAME, -1, NULL, OBI_STR, 0, 1, NULL, false, true, false, NULL, NULL, -1, "{}", true) < 0)
 	{
-		obidebug(1, "\nError creating the column for the array of ids of the best match in ecotag");
+		obidebug(1, "\nError creating the column for the array of ids of best matches in ecotag");
+		return -1;
+	}
+
+	// Column for array of best match taxids
+	if (obi_view_add_column(o_view, ECOTAG_BEST_MATCH_TAXIDS_COLUMN_NAME, -1, NULL, OBI_INT, 0, 1, NULL, false, true, false, NULL, NULL, -1, "{}", true) < 0)
+	{
+		obidebug(1, "\nError creating the column for the array of taxids of best matches in ecotag");
 		return -1;
 	}
 
@@ -142,7 +153,8 @@ int print_assignment_result(Obiview_p output_view, index_t line,
 							OBIDMS_column_p assigned_taxid_column, int32_t taxid,
 							OBIDMS_column_p assigned_name_column, const char* name,
 							OBIDMS_column_p assigned_status_column, bool assigned,
-							OBIDMS_column_p best_match_column, const char* best_match_ids, int best_match_ids_length,
+							OBIDMS_column_p best_match_ids_column, const char* best_match_ids, int best_match_ids_length,
+							OBIDMS_column_p best_match_taxids_column, const int32_t* best_match_taxids, int best_match_taxids_length,
 							OBIDMS_column_p score_column, double score)
 {
 	// Write the assigned taxid
@@ -167,9 +179,16 @@ int print_assignment_result(Obiview_p output_view, index_t line,
 	}
 
 	// Write the best match ids
-	if (obi_set_array_with_col_p_in_view(output_view, best_match_column, line, best_match_ids, (uint8_t)(sizeof(char)*8), best_match_ids_length) < 0)
+	if (obi_set_array_with_col_p_in_view(output_view, best_match_ids_column, line, best_match_ids, (uint8_t)(sizeof(char)*8), best_match_ids_length) < 0)
 	{
-		obidebug(1, "\nError writing a assignment status in a column when writing ecotag results");
+		obidebug(1, "\nError writing the array of best match ids in a column when writing ecotag results");
+		return -1;
+	}
+
+	// Write the best match taxids
+	if (obi_set_array_with_col_p_in_view(output_view, best_match_taxids_column, line, best_match_taxids, (uint8_t)(sizeof(OBI_INT)*8), best_match_taxids_length) < 0)
+	{
+		obidebug(1, "\nError writing the array of best match taxids in a column when writing ecotag results");
 		return -1;
 	}
 
@@ -235,6 +254,8 @@ int obi_ecotag(const char* dms_name,
 	char*     		best_match_ids;
 	char*			best_match_ids_to_store;
 	int32_t         best_match_ids_length;
+	int32_t*   		best_match_taxids;
+	int32_t*		best_match_taxids_to_store;
 	int				best_match_count;
 	int             buffer_size;
 	int 			best_match_ids_buffer_size;
@@ -263,7 +284,8 @@ int obi_ecotag(const char* dms_name,
 	OBIDMS_column_p assigned_taxid_column = NULL;
 	OBIDMS_column_p assigned_name_column = NULL;
 	OBIDMS_column_p assigned_status_column = NULL;
-	OBIDMS_column_p best_match_column = NULL;
+	OBIDMS_column_p best_match_ids_column = NULL;
+	OBIDMS_column_p best_match_taxids_column = NULL;
 	OBIDMS_column_p lca_taxid_a_column = NULL;
 	OBIDMS_column_p score_a_column = NULL;
 	OBIDMS_column_p ref_taxid_column = NULL;
@@ -396,7 +418,8 @@ int obi_ecotag(const char* dms_name,
 	assigned_taxid_column = obi_view_get_column(output_view, ECOTAG_TAXID_COLUMN_NAME);
 	assigned_name_column = obi_view_get_column(output_view, ECOTAG_NAME_COLUMN_NAME);
 	assigned_status_column = obi_view_get_column(output_view, ECOTAG_STATUS_COLUMN_NAME);
-	best_match_column = obi_view_get_column(output_view, ECOTAG_BEST_MATCH_IDS_COLUMN_NAME);
+	best_match_ids_column = obi_view_get_column(output_view, ECOTAG_BEST_MATCH_IDS_COLUMN_NAME);
+	best_match_taxids_column = obi_view_get_column(output_view, ECOTAG_BEST_MATCH_TAXIDS_COLUMN_NAME);
 	score_column = obi_view_get_column(output_view, ECOTAG_SCORE_COLUMN_NAME);
 
 	// Open the used reference columns
@@ -453,6 +476,14 @@ int obi_ecotag(const char* dms_name,
 		return -1;
 	}
 
+	best_match_taxids = (int32_t*) malloc(buffer_size* sizeof(int32_t));
+	if (best_match_taxids == NULL)
+	{
+		obi_set_errno(OBI_MALLOC_ERROR);
+		obidebug(1, "\nError allocating memory for the best match taxid array in ecotag");
+		return -1;
+	}
+
 	for (i=0; i < query_count; i++)
 	{
 		if (i%1000 == 0)
@@ -514,7 +545,7 @@ int obi_ecotag(const char* dms_name,
 
 				// Store in best match array
 
-				// Grow match array if needed
+				// Grow match and taxid array if needed
 				if (best_match_count == buffer_size)
 				{
 					buffer_size = buffer_size*2;
@@ -525,6 +556,13 @@ int obi_ecotag(const char* dms_name,
 						obidebug(1, "\nError reallocating match array when assigning");
 						return -1;
 					}
+					best_match_taxids = (int32_t*) realloc(best_match_taxids, buffer_size*sizeof(int32_t));
+					if (best_match_taxids == NULL)
+					{
+						obi_set_errno(OBI_MALLOC_ERROR);
+						obidebug(1, "\nError reallocating match taxids array when assigning");
+						return -1;
+					}
 				}
 
 				id = obi_get_str_with_elt_idx_and_col_p_in_view(ref_view, ref_id_column, j, 0);
@@ -545,6 +583,7 @@ int obi_ecotag(const char* dms_name,
 
 				// Save match
 				best_match_array[best_match_count] = j;
+				best_match_taxids[best_match_count] = obi_get_int_with_elt_idx_and_col_p_in_view(ref_view, ref_taxid_column, j, 0);
 				best_match_count++;
 				strcpy(best_match_ids+best_match_ids_length, id);
 				best_match_ids_length = best_match_ids_length + id_len + 1;
@@ -629,6 +668,7 @@ int obi_ecotag(const char* dms_name,
 			else
 				lca_name = lca->name;
 			best_match_ids_to_store = best_match_ids;
+			best_match_taxids_to_store = best_match_taxids;
 		}
 		else
 		{
@@ -636,6 +676,7 @@ int obi_ecotag(const char* dms_name,
 			lca_name = OBIStr_NA;
 			lca_taxid = OBIInt_NA;
 			best_match_ids_to_store = OBITuple_NA;
+			best_match_taxids_to_store = OBITuple_NA;
 			score = OBIFloat_NA;
 		}
 
@@ -644,7 +685,8 @@ int obi_ecotag(const char* dms_name,
 								    assigned_taxid_column, lca_taxid,
 									assigned_name_column, lca_name,
 									assigned_status_column, assigned,
-									best_match_column, best_match_ids_to_store, best_match_ids_length,
+									best_match_ids_column, best_match_ids_to_store, best_match_ids_length,
+									best_match_taxids_column, best_match_taxids_to_store, best_match_count,
 									score_column, best_score
 									) < 0)
 							return -1;
@@ -652,6 +694,7 @@ int obi_ecotag(const char* dms_name,
 
 	free(best_match_array);
 	free(best_match_ids);
+	free(best_match_taxids);
 
 	obi_close_taxonomy(taxonomy);
 	obi_save_and_close_view(query_view);

src/obi_ecotag.h

@@ -23,7 +23,8 @@
 #define ECOTAG_TAXID_COLUMN_NAME "TAXID"
 #define ECOTAG_NAME_COLUMN_NAME "SCIENTIFIC_NAME"
 #define ECOTAG_STATUS_COLUMN_NAME "ID_STATUS"
-#define ECOTAG_BEST_MATCH_IDS_COLUMN_NAME "BEST_MATCH"
+#define ECOTAG_BEST_MATCH_IDS_COLUMN_NAME "BEST_MATCH_IDS"
+#define ECOTAG_BEST_MATCH_TAXIDS_COLUMN_NAME "BEST_MATCH_TAXIDS"
 #define ECOTAG_SCORE_COLUMN_NAME "BEST_IDENTITY"
 
 

src/obiavl.c

@@ -648,7 +648,7 @@ int truncate_avl_data_to_size_used(OBIDMS_avl_data_p avl_data)	// TODO is it nec
 	new_data_size = ((index_t) multiple) * getpagesize();
 
 	// Check that it is actually greater than the current size of the file, otherwise no need to truncate
-	if ((avl_data->header)->data_size_max == new_data_size)
+	if ((avl_data->header)->data_size_max >= new_data_size)
 		return 0;
 
 	// Get the file descriptor
@@ -667,7 +667,7 @@ int truncate_avl_data_to_size_used(OBIDMS_avl_data_p avl_data)	// TODO is it nec
 	if (ftruncate(file_descriptor, file_size) < 0)
 	{
 		obi_set_errno(OBI_AVL_ERROR);
-		obidebug(1, "\nError truncating an AVL data file");
+		obidebug(1, "\nError truncating an AVL data file, old data size = %lld, new data size = %lld", (avl_data->header)->data_size_max, new_data_size);
 		return -1;
 	}
 

src/obidms.c

@@ -1496,7 +1496,7 @@ obiversion_t obi_import_column(const char* dms_path_1, const char* dms_path_2, c
 	memcpy(column_2->data, column_1->data, header_1->data_size);
 
 	// Copy the AVL files if there are some (overwriting the automatically created files)
-	if ((header_1->returned_data_type == OBI_STR) || (header_1->returned_data_type == OBI_SEQ) || (header_1->returned_data_type == OBI_QUAL))
+	if ((header_1->tuples) || ((header_1->returned_data_type == OBI_STR) || (header_1->returned_data_type == OBI_SEQ) || (header_1->returned_data_type == OBI_QUAL)))
 	{
 		avl_name_1 = (char*) malloc((strlen(header_1->indexer_name) + 1)  * sizeof(char));
 		if (avl_name_1 == NULL)

src/obidmscolumn.c

@@ -1350,6 +1350,8 @@ OBIDMS_column_p obi_create_column(OBIDMS_p     dms,
 		}
 		strncpy(header->indexer_name, final_indexer_name, INDEXER_MAX_NAME);
 	}
+	else
+		new_column->indexer = NULL;
 
 	// Fill the data with NA values
 	obi_ini_to_NA_values(new_column, 0, nb_lines);
@@ -1558,6 +1560,8 @@ OBIDMS_column_p obi_open_column(OBIDMS_p     dms,
 			return NULL;
 		}
 	}
+	else
+		column->indexer = NULL;
 
 	if (close(column_file_descriptor) < 0)
 	{
@@ -1693,8 +1697,8 @@ int obi_close_column(OBIDMS_column_p column)
 		if (obi_dms_unlist_column(column->dms, column) < 0)
 			ret_val = -1;
 
-		// If the data type is OBI_STR, OBI_SEQ or OBI_QUAL, the associated indexer is closed
+		// If it's a tuple column or the data type is OBI_STR, OBI_SEQ or OBI_QUAL, the associated indexer is closed
-		if (((column->header)->returned_data_type == OBI_STR) || ((column->header)->returned_data_type == OBI_SEQ) || ((column->header)->returned_data_type == OBI_QUAL))
+		if ((column->indexer) != NULL)
 			if (obi_close_indexer(column->indexer) < 0)
 				ret_val = -1;
 

src/obiview.c

@@ -1037,8 +1037,9 @@ static int finish_view(Obiview_p view)
 		return -1;
 	}
 
-	// Add count column if it's a NUC_SEQ_VIEW with no count column // TODO discuss
+	// Add count column if it's a NUC_SEQ_VIEW with no count column (and there's no MERGED_sample column) // TODO discuss
-	if ((!strcmp((view->infos)->view_type, VIEW_TYPE_NUC_SEQS)) && (!obi_view_column_exists(view, COUNT_COLUMN)))
+	if ((!strcmp((view->infos)->view_type, VIEW_TYPE_NUC_SEQS)) && (!obi_view_column_exists(view, COUNT_COLUMN))
+			&& (!obi_view_column_exists(view, "MERGED_sample")))  // TODO should eventually compute from merged samples?
 	{
 		if (obi_create_auto_count_column(view) < 0)
 		{