Mercurial > repos > shellac > sam_consensus_v3
annotate env/lib/python3.9/site-packages/bagit-1.8.1.dist-info/METADATA @ 0:4f3585e2f14b draft default tip
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author | shellac |
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date | Mon, 22 Mar 2021 18:12:50 +0000 |
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1 Metadata-Version: 2.1 |
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2 Name: bagit |
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3 Version: 1.8.1 |
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4 Summary: Create and validate BagIt packages |
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5 Home-page: https://libraryofcongress.github.io/bagit-python/ |
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6 Author: Ed Summers |
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7 Author-email: ehs@pobox.com |
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8 License: UNKNOWN |
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9 Platform: POSIX |
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10 Classifier: License :: Public Domain |
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11 Classifier: Intended Audience :: Developers |
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12 Classifier: Topic :: Communications :: File Sharing |
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13 Classifier: Topic :: Software Development :: Libraries :: Python Modules |
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14 Classifier: Topic :: System :: Filesystems |
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15 Classifier: Programming Language :: Python :: 2 |
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16 Classifier: Programming Language :: Python :: 2.7 |
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17 Classifier: Programming Language :: Python :: 3 |
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18 Classifier: Programming Language :: Python :: 3.1 |
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19 Classifier: Programming Language :: Python :: 3.2 |
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20 Classifier: Programming Language :: Python :: 3.3 |
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21 Classifier: Programming Language :: Python :: 3.4 |
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22 Classifier: Programming Language :: Python :: 3.5 |
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23 Classifier: Programming Language :: Python :: 3.6 |
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24 Classifier: Programming Language :: Python :: 3.7 |
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25 Classifier: Programming Language :: Python :: 3.8 |
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26 |
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27 bagit-python |
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28 ============ |
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29 |
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30 |Build Status| |Coverage Status| |
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31 |
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32 bagit is a Python library and command line utility for working with |
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33 `BagIt <http://purl.org/net/bagit>`__ style packages. |
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34 |
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35 Installation |
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36 ------------ |
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37 |
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38 bagit.py is a single-file python module that you can drop into your |
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39 project as needed or you can install globally with: |
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40 |
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41 :: |
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42 |
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43 pip install bagit |
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44 |
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45 Python v2.7+ is required. |
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46 |
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47 Command Line Usage |
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48 ------------------ |
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49 |
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50 When you install bagit you should get a command-line program called |
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51 bagit.py which you can use to turn an existing directory into a bag: |
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52 |
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53 :: |
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54 |
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55 bagit.py --contact-name 'John Kunze' /directory/to/bag |
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56 |
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57 Finding Bagit on your system |
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58 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ |
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59 |
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60 The ``bagit.py`` program should be available in your normal command-line |
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61 window (Terminal on OS X, Command Prompt or Powershell on Windows, |
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62 etc.). If you are unsure where it was installed you can also request |
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63 that Python search for ``bagit`` as a Python module: simply replace |
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64 ``bagit.py`` with ``python -m bagit``: |
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65 |
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66 :: |
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67 |
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68 python -m bagit --help |
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69 |
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70 On some systems Python may have been installed as ``python3``, ``py``, |
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71 etc. – simply use the same name you use to start an interactive Python |
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72 shell: |
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73 |
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74 :: |
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75 |
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76 py -m bagit --help |
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77 python3 -m bagit --help |
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78 |
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79 Configuring BagIt |
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80 ~~~~~~~~~~~~~~~~~ |
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81 |
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82 You can pass in key/value metadata for the bag using options like |
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83 ``--contact-name`` above, which get persisted to the bag-info.txt. For a |
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84 complete list of bag-info.txt properties you can use as commmand line |
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85 arguments see ``--help``. |
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86 |
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87 Since calculating checksums can take a while when creating a bag, you |
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88 may want to calculate them in parallel if you are on a multicore |
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89 machine. You can do that with the ``--processes`` option: |
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90 |
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91 :: |
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92 |
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93 bagit.py --processes 4 /directory/to/bag |
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94 |
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95 To specify which checksum algorithm(s) to use when generating the |
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96 manifest, use the --md5, --sha1, --sha256 and/or --sha512 flags (MD5 is |
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97 generated by default). |
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98 |
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99 :: |
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100 |
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101 bagit.py --sha1 /path/to/bag |
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102 bagit.py --sha256 /path/to/bag |
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103 bagit.py --sha512 /path/to/bag |
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104 |
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105 If you would like to validate a bag you can use the --validate flag. |
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106 |
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107 :: |
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108 |
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109 bagit.py --validate /path/to/bag |
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110 |
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111 If you would like to take a quick look at the bag to see if it seems |
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112 valid by just examining the structure of the bag, and comparing its |
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113 payload-oxum (byte count and number of files) then use the ``--fast`` |
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114 flag. |
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115 |
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116 :: |
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117 |
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118 bagit.py --validate --fast /path/to/bag |
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119 |
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120 And finally, if you'd like to parallelize validation to take advantage |
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121 of multiple CPUs you can: |
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122 |
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123 :: |
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124 |
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125 bagit.py --validate --processes 4 /path/to/bag |
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126 |
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127 Using BagIt in your programs |
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128 ---------------------------- |
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129 |
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130 You can also use BagIt programatically in your own Python programs by |
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131 importing the ``bagit`` module. |
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132 |
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133 Create |
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134 ~~~~~~ |
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135 |
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136 To create a bag you would do this: |
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137 |
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138 .. code:: python |
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139 |
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140 bag = bagit.make_bag('mydir', {'Contact-Name': 'John Kunze'}) |
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141 |
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142 ``make_bag`` returns a Bag instance. If you have a bag already on disk |
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143 and would like to create a Bag instance for it, simply call the |
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144 constructor directly: |
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145 |
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146 .. code:: python |
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147 |
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148 bag = bagit.Bag('/path/to/bag') |
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149 |
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150 Update Bag Metadata |
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151 ~~~~~~~~~~~~~~~~~~~ |
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152 |
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153 You can change the metadata persisted to the bag-info.txt by using the |
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154 ``info`` property on a ``Bag``. |
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155 |
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156 .. code:: python |
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157 |
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158 # load the bag |
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159 bag = bagit.Bag('/path/to/bag') |
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160 |
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161 # update bag info metadata |
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162 bag.info['Internal-Sender-Description'] = 'Updated on 2014-06-28.' |
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163 bag.info['Authors'] = ['John Kunze', 'Andy Boyko'] |
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164 bag.save() |
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165 |
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166 Update Bag Manifests |
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167 ~~~~~~~~~~~~~~~~~~~~ |
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168 |
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169 By default ``save`` will not update manifests. This guards against a |
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170 situation where a call to ``save`` to persist bag metadata accidentally |
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171 regenerates manifests for an invalid bag. If you have modified the |
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172 payload of a bag by adding, modifying or deleting files in the data |
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173 directory, and wish to regenerate the manifests set the ``manifests`` |
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174 parameter to True when calling ``save``. |
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175 |
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176 .. code:: python |
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177 |
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178 |
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179 import shutil, os |
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180 |
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181 # add a file |
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182 shutil.copyfile('newfile', '/path/to/bag/data/newfile') |
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183 |
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184 # remove a file |
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185 os.remove('/path/to/bag/data/file') |
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186 |
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187 # persist changes |
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188 bag.save(manifests=True) |
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189 |
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190 The save method takes an optional processes parameter which will |
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191 determine how many processes are used to regenerate the checksums. This |
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192 can be handy on multicore machines. |
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193 |
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194 Validation |
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195 ~~~~~~~~~~ |
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196 |
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197 If you would like to see if a bag is valid, use its ``is_valid`` method: |
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198 |
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199 .. code:: python |
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200 |
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201 bag = bagit.Bag('/path/to/bag') |
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202 if bag.is_valid(): |
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203 print("yay :)") |
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204 else: |
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205 print("boo :(") |
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206 |
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207 If you'd like to get a detailed list of validation errors, execute the |
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208 ``validate`` method and catch the ``BagValidationError`` exception. If |
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209 the bag's manifest was invalid (and it wasn't caught by the payload |
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210 oxum) the exception's ``details`` property will contain a list of |
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211 ``ManifestError``\ s that you can introspect on. Each ManifestError, |
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212 will be of type ``ChecksumMismatch``, ``FileMissing``, |
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213 ``UnexpectedFile``. |
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214 |
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215 So for example if you want to print out checksums that failed to |
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216 validate you can do this: |
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217 |
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218 .. code:: python |
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219 |
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220 |
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221 bag = bagit.Bag("/path/to/bag") |
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222 |
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223 try: |
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224 bag.validate() |
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225 |
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226 except bagit.BagValidationError as e: |
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227 for d in e.details: |
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228 if isinstance(d, bagit.ChecksumMismatch): |
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229 print("expected %s to have %s checksum of %s but found %s" % |
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230 (d.path, d.algorithm, d.expected, d.found)) |
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231 |
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232 To iterate through a bag's manifest and retrieve checksums for the |
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233 payload files use the bag's entries dictionary: |
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234 |
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235 .. code:: python |
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236 |
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237 bag = bagit.Bag("/path/to/bag") |
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238 |
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239 for path, fixity in bag.entries.items(): |
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240 print("path:%s md5:%s" % (path, fixity["md5"])) |
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241 |
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242 Contributing to bagit-python development |
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243 ---------------------------------------- |
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244 |
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245 :: |
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246 |
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247 % git clone git://github.com/LibraryOfCongress/bagit-python.git |
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248 % cd bagit-python |
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249 # MAKE CHANGES |
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250 % python test.py |
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251 |
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252 Running the tests |
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253 ~~~~~~~~~~~~~~~~~ |
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254 |
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255 You can quickly run the tests by having setuptools install dependencies: |
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256 |
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257 :: |
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258 |
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259 python setup.py test |
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260 |
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261 Once your code is working, you can use |
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262 `Tox <https://tox.readthedocs.io/>`__ to run the tests with every |
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263 supported version of Python which you have installed on the local |
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264 system: |
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265 |
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266 :: |
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267 |
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268 tox |
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269 |
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270 If you have Docker installed, you can run the tests under Linux inside a |
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271 container: |
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272 |
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273 :: |
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274 |
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275 % docker build -t bagit:latest . && docker run -it bagit:latest |
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276 |
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277 Benchmarks |
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278 ---------- |
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279 |
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280 If you'd like to see how increasing parallelization of bag creation on |
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281 your system effects the time to create a bag try using the included |
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282 bench utility: |
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283 |
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284 :: |
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285 |
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286 % ./bench.py |
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287 |
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288 License |
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289 ------- |
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290 |
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291 |cc0| |
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292 |
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293 Note: By contributing to this project, you agree to license your work |
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294 under the same terms as those that govern this project's distribution. |
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295 |
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296 .. |Build Status| image:: https://travis-ci.org/LibraryOfCongress/bagit-python.svg?branch=master |
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297 :target: http://travis-ci.org/LibraryOfCongress/bagit-python |
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298 .. |Coverage Status| image:: https://coveralls.io/repos/github/LibraryOfCongress/bagit-python/badge.svg?branch=master |
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299 :target: https://coveralls.io/github/LibraryOfCongress/bagit-python?branch=master |
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300 .. |cc0| image:: http://i.creativecommons.org/p/zero/1.0/88x31.png |
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301 :target: http://creativecommons.org/publicdomain/zero/1.0/ |
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302 |
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303 |