Mercurial > repos > jjohnson > query_tabular
annotate query_tabular.py @ 19:9d9ab2c69014 draft
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author | jjohnson |
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date | Wed, 05 Jul 2017 11:51:50 -0400 |
parents | b9f797bf4f38 |
children | ab27c4bd14b9 |
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926c62f7fa09
planemo upload for repository https://github.com/jj-umn/galaxytools/tree/master/query_tabular commit 9ae87502ea7c3da33ecc453872c4eb2f41ecea4a-dirty
jjohnson
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1 #!/usr/bin/env python |
926c62f7fa09
planemo upload for repository https://github.com/jj-umn/galaxytools/tree/master/query_tabular commit 9ae87502ea7c3da33ecc453872c4eb2f41ecea4a-dirty
jjohnson
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2 """ |
926c62f7fa09
planemo upload for repository https://github.com/jj-umn/galaxytools/tree/master/query_tabular commit 9ae87502ea7c3da33ecc453872c4eb2f41ecea4a-dirty
jjohnson
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3 """ |
926c62f7fa09
planemo upload for repository https://github.com/jj-umn/galaxytools/tree/master/query_tabular commit 9ae87502ea7c3da33ecc453872c4eb2f41ecea4a-dirty
jjohnson
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4 import sys |
926c62f7fa09
planemo upload for repository https://github.com/jj-umn/galaxytools/tree/master/query_tabular commit 9ae87502ea7c3da33ecc453872c4eb2f41ecea4a-dirty
jjohnson
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5 import re |
926c62f7fa09
planemo upload for repository https://github.com/jj-umn/galaxytools/tree/master/query_tabular commit 9ae87502ea7c3da33ecc453872c4eb2f41ecea4a-dirty
jjohnson
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6 import os.path |
926c62f7fa09
planemo upload for repository https://github.com/jj-umn/galaxytools/tree/master/query_tabular commit 9ae87502ea7c3da33ecc453872c4eb2f41ecea4a-dirty
jjohnson
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7 import json |
926c62f7fa09
planemo upload for repository https://github.com/jj-umn/galaxytools/tree/master/query_tabular commit 9ae87502ea7c3da33ecc453872c4eb2f41ecea4a-dirty
jjohnson
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8 import sqlite3 as sqlite |
926c62f7fa09
planemo upload for repository https://github.com/jj-umn/galaxytools/tree/master/query_tabular commit 9ae87502ea7c3da33ecc453872c4eb2f41ecea4a-dirty
jjohnson
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9 import optparse |
926c62f7fa09
planemo upload for repository https://github.com/jj-umn/galaxytools/tree/master/query_tabular commit 9ae87502ea7c3da33ecc453872c4eb2f41ecea4a-dirty
jjohnson
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10 from optparse import OptionParser |
926c62f7fa09
planemo upload for repository https://github.com/jj-umn/galaxytools/tree/master/query_tabular commit 9ae87502ea7c3da33ecc453872c4eb2f41ecea4a-dirty
jjohnson
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11 |
926c62f7fa09
planemo upload for repository https://github.com/jj-umn/galaxytools/tree/master/query_tabular commit 9ae87502ea7c3da33ecc453872c4eb2f41ecea4a-dirty
jjohnson
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12 """ |
926c62f7fa09
planemo upload for repository https://github.com/jj-umn/galaxytools/tree/master/query_tabular commit 9ae87502ea7c3da33ecc453872c4eb2f41ecea4a-dirty
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13 TODO: |
926c62f7fa09
planemo upload for repository https://github.com/jj-umn/galaxytools/tree/master/query_tabular commit 9ae87502ea7c3da33ecc453872c4eb2f41ecea4a-dirty
jjohnson
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14 - could read column names from comment lines, but issues with legal names |
926c62f7fa09
planemo upload for repository https://github.com/jj-umn/galaxytools/tree/master/query_tabular commit 9ae87502ea7c3da33ecc453872c4eb2f41ecea4a-dirty
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15 - could add some transformations on tabular columns, |
6 | 16 filter - skip_regex |
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926c62f7fa09
planemo upload for repository https://github.com/jj-umn/galaxytools/tree/master/query_tabular commit 9ae87502ea7c3da33ecc453872c4eb2f41ecea4a-dirty
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17 e.g. a regex to format date/time strings |
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planemo upload for repository https://github.com/jj-umn/galaxytools/tree/master/query_tabular commit 9893037a046e4f4c1e7ba859e05f49378c398cb1-dirty
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18 format: { |
9d73dca48178
planemo upload for repository https://github.com/jj-umn/galaxytools/tree/master/query_tabular commit 9893037a046e4f4c1e7ba859e05f49378c398cb1-dirty
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19 c2 : re.sub('pat', 'sub', c2) |
9d73dca48178
planemo upload for repository https://github.com/jj-umn/galaxytools/tree/master/query_tabular commit 9893037a046e4f4c1e7ba859e05f49378c398cb1-dirty
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20 c3 : len(c3) |
6 | 21 } |
22 def format(colname,val, expr): | |
23 normalize input list columns | |
24 iterate over list values creating one row per iteration | |
25 option for input line_num column | |
26 create associated table | |
27 fk, name, value # e.g. PSM table with list of proteins containing peptide | |
28 fk, name, value[, value] # if multiple columns similarly indexed, e.g. vcf | |
0
926c62f7fa09
planemo upload for repository https://github.com/jj-umn/galaxytools/tree/master/query_tabular commit 9ae87502ea7c3da33ecc453872c4eb2f41ecea4a-dirty
jjohnson
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29 - column_defs dict of columns to create from tabular input |
926c62f7fa09
planemo upload for repository https://github.com/jj-umn/galaxytools/tree/master/query_tabular commit 9ae87502ea7c3da33ecc453872c4eb2f41ecea4a-dirty
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30 column_defs : { 'name1' : 'expr', 'name2' : 'expr'} |
926c62f7fa09
planemo upload for repository https://github.com/jj-umn/galaxytools/tree/master/query_tabular commit 9ae87502ea7c3da33ecc453872c4eb2f41ecea4a-dirty
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31 - allow multiple queries and outputs |
6 | 32 repeat min - max with up to max conditional outputs |
33 | |
0
926c62f7fa09
planemo upload for repository https://github.com/jj-umn/galaxytools/tree/master/query_tabular commit 9ae87502ea7c3da33ecc453872c4eb2f41ecea4a-dirty
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34 - add a --json input for table definitions (or yaml) |
926c62f7fa09
planemo upload for repository https://github.com/jj-umn/galaxytools/tree/master/query_tabular commit 9ae87502ea7c3da33ecc453872c4eb2f41ecea4a-dirty
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35 JSON config: |
926c62f7fa09
planemo upload for repository https://github.com/jj-umn/galaxytools/tree/master/query_tabular commit 9ae87502ea7c3da33ecc453872c4eb2f41ecea4a-dirty
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36 { tables : [ |
926c62f7fa09
planemo upload for repository https://github.com/jj-umn/galaxytools/tree/master/query_tabular commit 9ae87502ea7c3da33ecc453872c4eb2f41ecea4a-dirty
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37 { file_path : '/home/galaxy/dataset_101.dat', |
926c62f7fa09
planemo upload for repository https://github.com/jj-umn/galaxytools/tree/master/query_tabular commit 9ae87502ea7c3da33ecc453872c4eb2f41ecea4a-dirty
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38 table_name : 't1', |
926c62f7fa09
planemo upload for repository https://github.com/jj-umn/galaxytools/tree/master/query_tabular commit 9ae87502ea7c3da33ecc453872c4eb2f41ecea4a-dirty
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39 column_names : ['c1', 'c2', 'c3'], |
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planemo upload for repository https://github.com/jj-umn/galaxytools/tree/master/query_tabular commit 29288f94a382686e263623cf6ddcd235ed5f2310-dirty
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40 pkey_autoincr : 'id' |
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926c62f7fa09
planemo upload for repository https://github.com/jj-umn/galaxytools/tree/master/query_tabular commit 9ae87502ea7c3da33ecc453872c4eb2f41ecea4a-dirty
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41 comment_lines : 1 |
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planemo upload for repository https://github.com/jj-umn/galaxytools/tree/master/query_tabular commit 29288f94a382686e263623cf6ddcd235ed5f2310-dirty
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42 unique: ['c1'], |
19ae309ec53c
planemo upload for repository https://github.com/jj-umn/galaxytools/tree/master/query_tabular commit 29288f94a382686e263623cf6ddcd235ed5f2310-dirty
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43 index: ['c2','c3'] |
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926c62f7fa09
planemo upload for repository https://github.com/jj-umn/galaxytools/tree/master/query_tabular commit 9ae87502ea7c3da33ecc453872c4eb2f41ecea4a-dirty
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44 }, |
926c62f7fa09
planemo upload for repository https://github.com/jj-umn/galaxytools/tree/master/query_tabular commit 9ae87502ea7c3da33ecc453872c4eb2f41ecea4a-dirty
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45 { file_path : '/home/galaxy/dataset_102.dat', |
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3e3b3c883bec
planemo upload for repository https://github.com/jj-umn/galaxytools/tree/master/query_tabular commit 60d1a49c09f87c1c1ec6fecbe54aa226bdc695a7-dirty
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46 table_name : 'gff', |
6 | 47 column_names : ['seqname',,'date','start','end'] |
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planemo upload for repository https://github.com/jj-umn/galaxytools/tree/master/query_tabular commit 60d1a49c09f87c1c1ec6fecbe54aa226bdc695a7-dirty
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48 comment_lines : 1 |
3e3b3c883bec
planemo upload for repository https://github.com/jj-umn/galaxytools/tree/master/query_tabular commit 60d1a49c09f87c1c1ec6fecbe54aa226bdc695a7-dirty
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49 load_named_columns : True |
6 | 50 filters : [{'filter': 'regex', 'pattern': '#peptide', 'action': 'exclude_match'}, |
51 {'filter': 'replace', 'column': 3, 'replace': 'gi[|]', 'pattern': ''}] | |
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926c62f7fa09
planemo upload for repository https://github.com/jj-umn/galaxytools/tree/master/query_tabular commit 9ae87502ea7c3da33ecc453872c4eb2f41ecea4a-dirty
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52 }, |
926c62f7fa09
planemo upload for repository https://github.com/jj-umn/galaxytools/tree/master/query_tabular commit 9ae87502ea7c3da33ecc453872c4eb2f41ecea4a-dirty
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53 { file_path : '/home/galaxy/dataset_103.dat', |
926c62f7fa09
planemo upload for repository https://github.com/jj-umn/galaxytools/tree/master/query_tabular commit 9ae87502ea7c3da33ecc453872c4eb2f41ecea4a-dirty
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54 table_name : 'test', |
926c62f7fa09
planemo upload for repository https://github.com/jj-umn/galaxytools/tree/master/query_tabular commit 9ae87502ea7c3da33ecc453872c4eb2f41ecea4a-dirty
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55 column_names : ['c1', 'c2', 'c3'] |
926c62f7fa09
planemo upload for repository https://github.com/jj-umn/galaxytools/tree/master/query_tabular commit 9ae87502ea7c3da33ecc453872c4eb2f41ecea4a-dirty
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56 } |
926c62f7fa09
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57 ] |
926c62f7fa09
planemo upload for repository https://github.com/jj-umn/galaxytools/tree/master/query_tabular commit 9ae87502ea7c3da33ecc453872c4eb2f41ecea4a-dirty
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58 } |
926c62f7fa09
planemo upload for repository https://github.com/jj-umn/galaxytools/tree/master/query_tabular commit 9ae87502ea7c3da33ecc453872c4eb2f41ecea4a-dirty
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59 """ |
926c62f7fa09
planemo upload for repository https://github.com/jj-umn/galaxytools/tree/master/query_tabular commit 9ae87502ea7c3da33ecc453872c4eb2f41ecea4a-dirty
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60 |
6 | 61 |
62 class LineFilter( object ): | |
63 def __init__(self,source,filter_dict): | |
64 self.source = source | |
65 self.filter_dict = filter_dict | |
8 | 66 # print >> sys.stderr, 'LineFilter %s' % filter_dict if filter_dict else 'NONE' |
11 | 67 self.func = lambda i,l: l.rstrip('\r\n') if l else None |
68 self.src_lines = [] | |
69 self.src_line_cnt = 0 | |
6 | 70 if not filter_dict: |
71 return | |
72 if filter_dict['filter'] == 'regex': | |
73 rgx = re.compile(filter_dict['pattern']) | |
74 if filter_dict['action'] == 'exclude_match': | |
11 | 75 self.func = lambda i,l: l if not rgx.match(l) else None |
6 | 76 elif filter_dict['action'] == 'include_match': |
11 | 77 self.func = lambda i,l: l if rgx.match(l) else None |
6 | 78 elif filter_dict['action'] == 'exclude_find': |
11 | 79 self.func = lambda i,l: l if not rgx.search(l) else None |
6 | 80 elif filter_dict['action'] == 'include_find': |
11 | 81 self.func = lambda i,l: l if rgx.search(l) else None |
16 | 82 elif filter_dict['filter'] == 'select_columns': |
83 cols = [int(c) - 1 for c in filter_dict['columns']] | |
84 self.func = lambda i,l: self.select_columns(l,cols) | |
6 | 85 elif filter_dict['filter'] == 'replace': |
86 p = filter_dict['pattern'] | |
87 r = filter_dict['replace'] | |
88 c = int(filter_dict['column']) - 1 | |
11 | 89 self.func = lambda i,l: '\t'.join([x if i != c else re.sub(p,r,x) for i,x in enumerate(l.split('\t'))]) |
90 elif filter_dict['filter'] == 'prepend_line_num': | |
91 self.func = lambda i,l: '%d\t%s' % (i,l) | |
92 elif filter_dict['filter'] == 'append_line_num': | |
93 self.func = lambda i,l: '%s\t%d' % (l.rstrip('\r\n'),i) | |
18 | 94 elif filter_dict['filter'] == 'prepend_text': |
95 s = filter_dict['column_text'] | |
96 self.func = lambda i,l: '%s\t%s' % (s,l) | |
97 elif filter_dict['filter'] == 'append_text': | |
98 s = filter_dict['column_text'] | |
99 self.func = lambda i,l: '%s\t%s' % (l.rstrip('\r\n'),s) | |
11 | 100 elif filter_dict['filter'] == 'skip': |
101 cnt = filter_dict['count'] | |
102 self.func = lambda i,l: l if i > cnt else None | |
103 elif filter_dict['filter'] == 'normalize': | |
104 cols = [int(c) - 1 for c in filter_dict['columns']] | |
105 sep = filter_dict['separator'] | |
106 self.func = lambda i,l: self.normalize(l,cols,sep) | |
6 | 107 def __iter__(self): |
108 return self | |
16 | 109 def select_columns(self,line,cols): |
110 fields = line.split('\t') | |
111 return '\t'.join([fields[x] for x in cols]) | |
11 | 112 def normalize(self,line,split_cols,sep): |
113 lines = [] | |
114 fields = line.rstrip('\r\n').split('\t') | |
115 split_fields = dict() | |
116 cnt = 0 | |
117 for c in split_cols: | |
118 if c < len(fields): | |
119 split_fields[c] = fields[c].split(sep) | |
120 cnt = max(cnt, len(split_fields[c])) | |
121 if cnt == 0: | |
122 lines.append('\t'.join(fields)) | |
123 else: | |
124 for n in range(0, cnt): | |
125 flds = [x if c not in split_cols else split_fields[c][n] if n < len(split_fields[c]) else '' for (c, x) in enumerate(fields)] | |
126 lines.append('\t'.join(flds)) | |
127 return lines | |
128 def get_lines(self): | |
6 | 129 for i,next_line in enumerate(self.source): |
11 | 130 self.src_line_cnt += 1 |
131 line = self.func(self.src_line_cnt,next_line) | |
132 # print >> sys.stderr, 'LineFilter %s: %d %s' % (str(self.filter_dict),self.src_line_cnt,line) | |
6 | 133 if line: |
11 | 134 if isinstance(line,list): |
135 self.src_lines.extend(line) | |
136 else: | |
137 self.src_lines.append(line) | |
138 return | |
139 def next(self): | |
140 if not self.src_lines: | |
141 self.get_lines() | |
142 if self.src_lines: | |
143 return self.src_lines.pop(0) | |
6 | 144 raise StopIteration |
145 | |
146 | |
147 class TabularReader: | |
148 """ | |
149 Tabular file iterator. Returns a list | |
150 """ | |
151 def __init__(self, file_path, skip=0, comment_char=None, col_idx=None, filters=None): | |
152 self.skip = skip | |
153 self.comment_char = comment_char | |
154 self.col_idx = col_idx | |
155 self.filters = filters | |
156 self.tsv_file = open(file_path) | |
157 if skip and skip > 0: | |
9 | 158 for i in range(skip): |
6 | 159 if not self.tsv_file.readline(): |
160 break | |
161 source = LineFilter(self.tsv_file,None) | |
162 if comment_char: | |
163 source = LineFilter(source,{"filter": "regex", "pattern": comment_char, "action": "exclude_match"}) | |
164 if filters: | |
165 for f in filters: | |
166 source = LineFilter(source,f) | |
167 self.source = source | |
168 def __iter__(self): | |
169 return self | |
170 def next(self): | |
171 ''' Iteration ''' | |
172 for i,line in enumerate(self.source): | |
173 fields = line.rstrip('\r\n').split('\t') | |
174 if self.col_idx: | |
175 fields = [fields[i] for i in self.col_idx] | |
176 return fields | |
177 raise StopIteration | |
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926c62f7fa09
planemo upload for repository https://github.com/jj-umn/galaxytools/tree/master/query_tabular commit 9ae87502ea7c3da33ecc453872c4eb2f41ecea4a-dirty
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178 |
926c62f7fa09
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179 |
926c62f7fa09
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180 def getValueType(val): |
926c62f7fa09
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181 if val or 0. == val: |
926c62f7fa09
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182 try: |
926c62f7fa09
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183 int(val) |
926c62f7fa09
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184 return 'INTEGER' |
926c62f7fa09
planemo upload for repository https://github.com/jj-umn/galaxytools/tree/master/query_tabular commit 9ae87502ea7c3da33ecc453872c4eb2f41ecea4a-dirty
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185 except: |
926c62f7fa09
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186 try: |
926c62f7fa09
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187 float(val) |
926c62f7fa09
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188 return 'REAL' |
926c62f7fa09
planemo upload for repository https://github.com/jj-umn/galaxytools/tree/master/query_tabular commit 9ae87502ea7c3da33ecc453872c4eb2f41ecea4a-dirty
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189 except: |
926c62f7fa09
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190 return 'TEXT' |
926c62f7fa09
planemo upload for repository https://github.com/jj-umn/galaxytools/tree/master/query_tabular commit 9ae87502ea7c3da33ecc453872c4eb2f41ecea4a-dirty
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191 return None |
926c62f7fa09
planemo upload for repository https://github.com/jj-umn/galaxytools/tree/master/query_tabular commit 9ae87502ea7c3da33ecc453872c4eb2f41ecea4a-dirty
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192 |
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193 |
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194 def get_column_def(file_path, table_name, skip=0, comment_char='#', |
6 | 195 column_names=None, max_lines=100,load_named_columns=False,filters=None): |
0
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196 col_pref = ['TEXT', 'REAL', 'INTEGER', None] |
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197 col_types = [] |
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198 col_idx = None |
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199 data_lines = 0 |
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200 try: |
6 | 201 tr = TabularReader(file_path,skip=skip, comment_char=comment_char, col_idx=None, filters=filters) |
202 for linenum, fields in enumerate(tr): | |
203 if linenum > max_lines: | |
204 break | |
205 try: | |
206 while len(col_types) < len(fields): | |
207 col_types.append(None) | |
208 for i, val in enumerate(fields): | |
209 colType = getValueType(val) | |
210 if col_pref.index(colType) < col_pref.index(col_types[i]): | |
211 col_types[i] = colType | |
212 except Exception, e: | |
213 print >> sys.stderr, 'Failed at line: %d err: %s' % (linenum, e) | |
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214 except Exception, e: |
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215 print >> sys.stderr, 'Failed: %s' % (e) |
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216 for i,col_type in enumerate(col_types): |
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217 if not col_type: |
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218 col_types[i] = 'TEXT' |
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219 if column_names: |
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220 col_names = [] |
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221 if load_named_columns: |
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222 col_idx = [] |
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223 for i, cname in enumerate([cn.strip() for cn in column_names.split(',')]): |
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224 if cname != '': |
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225 col_idx.append(i) |
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226 col_names.append(cname) |
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227 col_types = [col_types[i] for i in col_idx] |
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228 else: |
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229 col_names = ['c%d' % i for i in range(1, len(col_types) + 1)] |
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230 for i, cname in enumerate([cn.strip() for cn in column_names.split(',')]): |
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231 if cname and i < len(col_names): |
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232 col_names[i] = cname |
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233 else: |
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234 col_names = ['c%d' % i for i in range(1, len(col_types) + 1)] |
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235 col_def = [] |
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236 for i, col_name in enumerate(col_names): |
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237 col_def.append('%s %s' % (col_names[i], col_types[i])) |
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238 return col_names, col_types, col_def, col_idx |
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239 |
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240 |
6 | 241 def create_table(conn, file_path, table_name, skip=0, comment_char='#', pkey_autoincr=None, column_names=None,load_named_columns=False,filters=None,unique_indexes=[],indexes=[]): |
242 | |
243 col_names, col_types, col_def, col_idx = get_column_def(file_path, table_name, skip=skip, comment_char=comment_char, | |
244 column_names=column_names,load_named_columns=load_named_columns,filters=filters) | |
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245 col_func = [float if t == 'REAL' else int if t == 'INTEGER' else str for t in col_types] |
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246 table_def = 'CREATE TABLE %s (\n %s%s\n);' % ( |
6 | 247 table_name, |
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248 '%s INTEGER PRIMARY KEY AUTOINCREMENT,' % pkey_autoincr if pkey_autoincr else '', |
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249 ', \n '.join(col_def)) |
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250 # print >> sys.stdout, table_def |
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251 insert_stmt = 'INSERT INTO %s(%s) VALUES(%s)' % (table_name, ','.join(col_names), ','.join(["?" for x in col_names])) |
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252 # print >> sys.stdout, insert_stmt |
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253 data_lines = 0 |
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254 try: |
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255 c = conn.cursor() |
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256 c.execute(table_def) |
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257 conn.commit() |
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258 c.close() |
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259 for i,index in enumerate(unique_indexes): |
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260 index_name='idx_uniq_%s_%d' % (table_name,i) |
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261 index_columns = index.split(',') |
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262 create_index(conn, table_name, index_name, index_columns,unique=True) |
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263 for i,index in enumerate(indexes): |
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264 index_name='idx_%s_%d' % (table_name,i) |
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265 index_columns = index.split(',') |
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266 create_index(conn, table_name, index_name, index_columns) |
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267 c = conn.cursor() |
6 | 268 tr = TabularReader(file_path,skip=skip, comment_char=comment_char, col_idx=col_idx, filters=filters) |
269 for linenum, fields in enumerate(tr): | |
270 data_lines += 1 | |
271 try: | |
272 vals = [col_func[i](x) if x else None for i, x in enumerate(fields)] | |
273 c.execute(insert_stmt, vals) | |
274 except Exception, e: | |
275 print >> sys.stderr, 'Failed at line: %d err: %s' % (linenum, e) | |
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276 conn.commit() |
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277 c.close() |
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278 except Exception, e: |
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279 print >> sys.stderr, 'Failed: %s' % (e) |
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280 exit(1) |
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281 |
6 | 282 |
4
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283 def create_index(conn, table_name, index_name, index_columns, unique=False): |
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284 index_def = "CREATE %s INDEX %s on %s(%s)" % ('UNIQUE' if unique else '', index_name, table_name, ','.join(index_columns)) |
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285 c = conn.cursor() |
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286 c.execute(index_def) |
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287 conn.commit() |
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288 c.close() |
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289 |
6 | 290 |
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291 def regex_match(expr, item): |
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292 return re.match(expr, item) is not None |
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293 |
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294 |
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295 def regex_search(expr, item): |
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296 return re.search(expr, item) is not None |
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297 |
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298 |
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299 def regex_sub(expr, replace, item): |
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300 return re.sub(expr, replace, item) |
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301 |
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302 |
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303 def get_connection(sqlitedb_path, addfunctions=False): |
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304 conn = sqlite.connect(sqlitedb_path) |
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305 if addfunctions: |
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306 conn.create_function("re_match", 2, regex_match) |
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307 conn.create_function("re_search", 2, regex_search) |
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308 conn.create_function("re_sub", 3, regex_sub) |
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309 return conn |
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310 |
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311 |
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312 def __main__(): |
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313 # Parse Command Line |
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314 parser = optparse.OptionParser() |
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315 parser.add_option('-s', '--sqlitedb', dest='sqlitedb', default=None, help='The SQLite Database') |
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316 parser.add_option('-t', '--table', dest='tables', action="append", default=[], help='Tabular file: file_path[=table_name[:column_name, ...]') |
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317 parser.add_option('-j', '--jsonfile', dest='jsonfile', default=None, help='Tabular file: file_path[=table_name[:column_name, ...]') |
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318 parser.add_option('-q', '--query', dest='query', default=None, help='SQL query') |
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319 parser.add_option('-Q', '--query_file', dest='query_file', default=None, help='SQL query file') |
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320 parser.add_option('-n', '--no_header', dest='no_header', action='store_true', default=False, help='Include a column headers line') |
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321 parser.add_option('-o', '--output', dest='output', default=None, help='Output file for query results') |
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322 (options, args) = parser.parse_args() |
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323 |
16 | 324 def run_query(query,outputFile): |
325 conn = get_connection(options.sqlitedb, addfunctions=True) | |
326 cur = conn.cursor() | |
327 results = cur.execute(query) | |
328 if not options.no_header: | |
329 outputFile.write("#%s\n" % '\t'.join([str(col[0]) for col in cur.description])) | |
330 # yield [col[0] for col in cur.description] | |
331 for i, row in enumerate(results): | |
332 # yield [val for val in row] | |
333 outputFile.write("%s\n" % '\t'.join([str(val) if val is not None else '' for val in row])) | |
334 | |
0
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335 # open sqlite connection |
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336 conn = get_connection(options.sqlitedb) |
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337 # determine output destination |
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338 if options.output is not None: |
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339 try: |
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340 outputPath = os.path.abspath(options.output) |
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341 outputFile = open(outputPath, 'w') |
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342 except Exception, e: |
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343 print >> sys.stderr, "failed: %s" % e |
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344 exit(3) |
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345 else: |
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346 outputFile = sys.stdout |
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347 |
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348 # get table defs |
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349 if options.tables: |
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350 for ti, table in enumerate(options.tables): |
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351 table_name = 't%d' % (ti + 1) |
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352 column_names = None |
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353 fields = table.split('=') |
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354 path = fields[0] |
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355 if len(fields) > 1: |
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356 names = fields[1].split(':') |
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357 table_name = names[0] if names[0] else table_name |
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358 if len(names) > 1: |
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359 column_names = names[1] |
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360 # print >> sys.stdout, '%s %s' % (table_name, path) |
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361 create_table(conn, path, table_name, column_names=column_names) |
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362 if options.jsonfile: |
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363 try: |
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364 fh = open(options.jsonfile) |
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365 tdef = json.load(fh) |
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366 if 'tables' in tdef: |
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367 for ti, table in enumerate(tdef['tables']): |
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368 path = table['file_path'] |
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369 table_name = table['table_name'] if 'table_name' in table else 't%d' % (ti + 1) |
3
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370 comment_lines = table['comment_lines'] if 'comment_lines' in table else 0 |
6 | 371 comment_char = table['comment_char'] if 'comment_char' in table else None |
0
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372 column_names = table['column_names'] if 'column_names' in table else None |
3
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373 if column_names: |
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374 load_named_columns = table['load_named_columns'] if 'load_named_columns' in table else False |
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375 else: |
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376 load_named_columns = False |
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377 unique_indexes = table['unique'] if 'unique' in table else [] |
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378 indexes = table['index'] if 'index' in table else [] |
6 | 379 filters = table['filters'] if 'filters' in table else None |
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380 pkey_autoincr = table['pkey_autoincr'] if 'pkey_autoincr' in table else None |
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381 create_table(conn, path, table_name, pkey_autoincr=pkey_autoincr, column_names=column_names, |
6 | 382 skip=comment_lines, comment_char=comment_char, load_named_columns=load_named_columns, |
383 filters=filters,unique_indexes=unique_indexes, indexes=indexes) | |
0
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384 except Exception, exc: |
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385 print >> sys.stderr, "Error: %s" % exc |
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386 conn.close() |
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387 |
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388 query = None |
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389 if (options.query_file is not None): |
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390 with open(options.query_file, 'r') as fh: |
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391 query = '' |
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392 for line in fh: |
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393 query += line |
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394 elif (options.query is not None): |
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395 query = options.query |
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396 |
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397 if (query is None): |
6 | 398 tables_query = \ |
399 "SELECT name, sql FROM sqlite_master WHERE type='table' ORDER BY name" | |
0
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400 try: |
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401 conn = get_connection(options.sqlitedb) |
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402 c = conn.cursor() |
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403 rslt = c.execute(tables_query).fetchall() |
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404 for table, sql in rslt: |
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405 print >> sys.stderr, "Table %s:" % table |
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406 try: |
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407 col_query = 'SELECT * FROM %s LIMIT 0' % table |
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408 cur = conn.cursor().execute(col_query) |
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409 cols = [col[0] for col in cur.description] |
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410 print >> sys.stderr, " Columns: %s" % cols |
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411 except Exception, exc: |
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412 print >> sys.stderr, "Error: %s" % exc |
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413 except Exception, exc: |
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414 print >> sys.stderr, "Error: %s" % exc |
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415 exit(0) |
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416 # if not sqlite.is_read_only_query(query): |
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417 # print >> sys.stderr, "Error: Must be a read only query" |
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418 # exit(2) |
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419 try: |
16 | 420 run_query(query,outputFile) |
0
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421 except Exception, exc: |
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422 print >> sys.stderr, "Error: %s" % exc |
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423 exit(1) |
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424 |
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425 if __name__ == "__main__": |
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426 __main__() |