batchquery.py
author Radek Brich <radek.brich@devl.cz>
Thu, 31 Jan 2013 13:41:48 +0100
changeset 64 687e18e5ca93
parent 39 0cef3540b69f
child 83 515fadd3d286
permissions -rwxr-xr-x
Drop colordiff, implement it in PgDiff directly.
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#!/usr/bin/env python3.2
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from pgtoolkit import toolbase
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from pgtoolkit.highlight import highlight
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class BatchQueryTool(toolbase.SimpleTool):
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    def __init__(self):
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        toolbase.SimpleTool.__init__(self, name='batchquery', desc='Run a query using columns from CSV file as arguments.')
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        self.parser.add_argument('--query', dest='query', type=str, help='Query to run. Use %%s for arguments, or %%(name)s for named arguments (see --header).')
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        self.parser.add_argument('--file', dest='file', type=str, help='CSV file with data to use as arguments.')
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        self.parser.add_argument('--init', dest='init', type=str, help='Query which initialize database session (eg. temporary function).')
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        self.parser.add_argument('--output', dest='output', type=str, help='File name for results.')
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        self.parser.add_argument('--outputfunc', dest='outputfunc', type=str, help='Python function which will format results (format_row(args, rows)).')
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        self.parser.add_argument('--header', dest='header', action='store_true', help='First line of CSV is header with names for columns. These name can be used in query.')
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        self.init()
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    def _split_line(self, line):
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        return [x.strip() for x in line.split(',')]
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    def main(self):
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        results = []
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        # load query from file
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        with open(self.args.query, 'r', encoding='utf8') as f:
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            query = f.read()
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        # connect DB
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        with self.pgm.cursor('target') as curs:
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            # run init query
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            if self.args.init:
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                with open(self.args.init, 'r', encoding='utf8') as f:
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                    curs.execute(f.read(), [])
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            # read CSV file
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            with open(self.args.file, 'r', encoding='utf8') as f:
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                # read header
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                names = None
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                if self.args.header:
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                    line = f.readline()
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                    names = self._split_line(line)
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                # read and process lines
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                for line in f:
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                    args = self._split_line(line)
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                    if names:
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                        args = dict(zip(names, args))
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                    curs.execute(query, args)
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                    rows = curs.fetchall()
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                    results.append((args, rows))
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            curs.connection.commit()
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        # write results to output file
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        if self.args.output:
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            format_row = None
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            if self.args.outputfunc:
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                with open(self.args.outputfunc, 'r', encoding='utf8') as f:
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                    d = dict()
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                    exec(f.read(), d)
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                    format_row = d['format_row']
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            with open(self.args.output, 'w', encoding='utf8') as f:
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                for args, rows in results:
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                    if format_row:
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                        f.write(format_row(args, rows))
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                    else:
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                        f.write(repr(args))
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                        f.write(' -> ')
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                        f.write(repr(rows))
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                    f.write('\n')
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tool = BatchQueryTool()
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tool.main()
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