[5235] | 1 | ## |
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| 2 | ## jambtables.py |
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| 3 | ## Login : <uli@pu.smp.net> |
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| 4 | ## Started on Tue Jun 22 06:31:42 2010 Uli Fouquet |
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| 5 | ## $Id$ |
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| 6 | ## |
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| 7 | ## Copyright (C) 2010 Uli Fouquet |
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| 8 | ## This program is free software; you can redistribute it and/or modify |
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| 9 | ## it under the terms of the GNU General Public License as published by |
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| 10 | ## the Free Software Foundation; either version 2 of the License, or |
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| 11 | ## (at your option) any later version. |
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| 12 | ## |
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| 13 | ## This program is distributed in the hope that it will be useful, |
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| 14 | ## but WITHOUT ANY WARRANTY; without even the implied warranty of |
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| 15 | ## MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the |
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| 16 | ## GNU General Public License for more details. |
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| 17 | ## |
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| 18 | ## You should have received a copy of the GNU General Public License |
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| 19 | ## along with this program; if not, write to the Free Software |
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| 20 | ## Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA |
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| 21 | ## |
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| 22 | import csv |
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| 23 | import os |
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| 24 | import shutil |
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| 25 | import tempfile |
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| 26 | import grok |
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| 27 | |
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| 28 | from datetime import datetime |
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| 29 | from BTrees.OOBTree import OOBTree |
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| 30 | from BTrees.Length import Length |
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| 31 | |
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[5245] | 32 | #: The header fields required for a valid JAMB table CSV file. |
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| 33 | JAMB_DATA_HEADERS = [ |
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| 34 | 'firstname', 'lastname', 'middlenames', 'screening_type', |
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| 35 | 'screening_venue', 'reg_no', 'sex', 'course1', 'jamb_state', |
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| 36 | 'screening_date', 'jamb_lga', 'fst_sit_fname', 'date_of_birth'] |
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| 37 | |
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[5235] | 38 | def filter_data(datadict): |
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| 39 | """Filter items whose key contains 'ignore' |
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[5246] | 40 | |
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| 41 | The function will remove all fields whose name start with |
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| 42 | ``ignore``. All data will be convertetd to unicode except |
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| 43 | ``data_of_birth``, which is turned into a `dateteime` object. |
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[5235] | 44 | """ |
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| 45 | keys = datadict.keys() |
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| 46 | for key in keys: |
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| 47 | if not 'ignore' in key: |
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| 48 | continue |
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| 49 | del datadict[key] |
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[5245] | 50 | for name in JAMB_DATA_HEADERS: |
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[5235] | 51 | datadict[name] = unicode(datadict[name]) |
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| 52 | datadict['date_of_birth'] = datetime.strptime( |
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| 53 | datadict['date_of_birth'], |
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| 54 | '%d/%m/%Y' |
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| 55 | ).date() |
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| 56 | |
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| 57 | return datadict |
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| 58 | |
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| 59 | |
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| 60 | class JAMBDataTable(grok.Model): |
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| 61 | """A data table that contains JAMB data. |
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| 62 | |
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| 63 | JAMB data tables are plain but fast as they store nearly no data |
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| 64 | inside the ZODB. All data is held on-disk in CSV tables. |
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| 65 | |
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| 66 | As a consequence these tables are read-only. |
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| 67 | """ |
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| 68 | |
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| 69 | import_datetime = None |
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| 70 | |
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| 71 | def __init__(self): |
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| 72 | super(JAMBDataTable, self).__init__() |
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| 73 | self._datafile_path = None |
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| 74 | self._data_len = 0 |
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| 75 | self._temporary = False |
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| 76 | return |
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| 77 | |
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| 78 | def __del__(self): |
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| 79 | self.clear() |
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| 80 | |
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| 81 | def __iter__(self): |
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| 82 | reader = None |
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| 83 | if self._datafile_path is not None: |
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| 84 | reader = csv.DictReader(open(self._datafile_path, 'rb')) |
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| 85 | if reader is None: |
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| 86 | raise StopIteration |
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| 87 | for line in reader: |
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| 88 | data_dict = filter_data(line) |
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| 89 | yield data_dict |
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| 90 | |
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[5242] | 91 | def keys(self): |
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| 92 | """Get iterator over all registration numbers stored in table. |
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| 93 | """ |
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| 94 | for item in self: |
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| 95 | yield item['reg_no'] |
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| 96 | |
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| 97 | def items(self): |
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| 98 | """Get tuples of registration number and datasets for each entry in |
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| 99 | data table. |
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| 100 | """ |
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| 101 | for item in self: |
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| 102 | yield (item['reg_no'], item) |
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| 103 | |
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[5235] | 104 | def clear(self): |
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| 105 | """Remove all existing entries. |
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| 106 | """ |
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[5238] | 107 | self.import_datetime = None |
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[5235] | 108 | if self._datafile_path is None: |
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| 109 | return |
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| 110 | if self._temporary: |
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| 111 | if not os.path.exists(self._datafile_path): |
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| 112 | return |
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| 113 | shutil.rmtree(os.path.dirname(self._datafile_path)) |
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[5240] | 114 | self._datafile_path = None |
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[5235] | 115 | |
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| 116 | def importFromCSV(self, filepath): |
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| 117 | """Importing data from a CSV file means to copy the source to a safe |
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| 118 | location. |
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| 119 | """ |
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| 120 | self.clear() |
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| 121 | self.import_datetime = datetime.now() |
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| 122 | self._copyDataFile(filepath) |
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| 123 | |
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| 124 | def _copyDataFile(self, path): |
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| 125 | """Copy file in path to the JAMBData storage. |
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| 126 | |
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| 127 | See :meth:`_getJAMBTableStorage`. |
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| 128 | """ |
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| 129 | storage = self._getJAMBTableStorage() |
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| 130 | self._datafile_path = os.path.join( |
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| 131 | storage, os.path.basename(path) |
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| 132 | ) |
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| 133 | shutil.copy2(path, self._datafile_path) |
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| 134 | return |
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| 135 | |
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| 136 | def _getJAMBTableStorage(self): |
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| 137 | """Get a path to store copies of datatables. |
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| 138 | |
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| 139 | We normally store data in a ``jambdata`` subdir of datacenter, |
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| 140 | but if none exists, we create a temporary dir and set |
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| 141 | `temporary` to ``True``. |
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| 142 | |
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| 143 | Any not existent directory is created. |
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| 144 | |
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| 145 | Note, that temporary dirs will be deleted when the |
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| 146 | JAMBDataTable object is destroyed. |
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| 147 | |
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| 148 | Returns absolute path to the JAMB data storage. |
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| 149 | """ |
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| 150 | site = grok.getSite() |
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| 151 | if site is None: |
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| 152 | jambtable_storage = tempfile.mkdtemp() |
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| 153 | self._temporary = True |
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| 154 | else: |
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| 155 | datacenter = site['datacenter'] |
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| 156 | jambtable_storage = os.path.join(datacenter.storage, 'jambdata') |
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| 157 | if not os.path.isdir(jambtable_storage): |
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| 158 | os.mkdir(jambtable_storage) |
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| 159 | return os.path.abspath(jambtable_storage) |
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