| | 1 | """ |
| | 2 | YAML is a data serialization format designed for human readability and |
| | 3 | interaction with scripting languages. |
| | 4 | |
| | 5 | Syck is an extension for reading and writing YAML in scripting languages. |
| | 6 | |
| | 7 | PySyck provides Python bindings for Syck YAML parser and emitter. |
| | 8 | |
| | 9 | To start working with PySyck, import the package 'syck': |
| | 10 | >>> from syck import * |
| | 11 | |
| | 12 | To parse a YAML document into a Python object, use the function 'load()': |
| | 13 | >>> load(''' |
| | 14 | ... - Mark McGwire |
| | 15 | ... - Sammy Sosa |
| | 16 | ... - Ken Griffey |
| | 17 | ... ''') |
| | 18 | ['Mark McGwire', 'Sammy Sosa', 'Ken Griffey'] |
| | 19 | |
| | 20 | To emit a Python object into a YAML document, use the function 'dump()': |
| | 21 | >>> print dump(['Mark McGwire', 'Sammy Sosa', 'Ken Griffey']) |
| | 22 | --- |
| | 23 | - Mark McGwire |
| | 24 | - Sammy Sosa |
| | 25 | - Ken Griffey |
| | 26 | |
| | 27 | You may get access to the YAML parser tree using the function 'parse()': |
| | 28 | >>> root_node = parse(''' |
| | 29 | ... - Mark McGwire |
| | 30 | ... - Sammy Sosa |
| | 31 | ... - Ken Griffey |
| | 32 | ... ''') |
| | 33 | >>> root_node |
| | 34 | <_syck.Seq object at 0xb7a1f874> |
| | 35 | >>> root_node.kind |
| | 36 | 'seq' |
| | 37 | >>> root_node.value |
| | 38 | [<_syck.Scalar object at 0xb7a1e5fc>, <_syck.Scalar object at 0xb7a1e65c>, <_syck.Scalar object at 0xb7a1e6bc>] |
| | 39 | |
| | 40 | You may now use the function 'emit()' to obtain the YAML document again: |
| | 41 | >>> print emit(root_node) |
| | 42 | --- |
| | 43 | - Mark McGwire |
| | 44 | - Sammy Sosa |
| | 45 | - Ken Griffey |
| | 46 | |
| | 47 | What do you get if you apply the function 'dump()' to root_node? Let's try it: |
| | 48 | >>> print dump(root_node) |
| | 49 | --- !python/object:_syck.Seq |
| | 50 | value: |
| | 51 | - !python/object:_syck.Scalar |
| | 52 | value: Mark McGwire |
| | 53 | tag: tag:yaml.org,2002:str |
| | 54 | - !python/object:_syck.Scalar |
| | 55 | value: Sammy Sosa |
| | 56 | tag: tag:yaml.org,2002:str |
| | 57 | - !python/object:_syck.Scalar |
| | 58 | value: Ken Griffey |
| | 59 | tag: tag:yaml.org,2002:str |
| | 60 | |
| | 61 | As you can see, PySyck allow you to represent complex Python objects. |
| | 62 | |
| | 63 | You can also dump the generated YAML output into any file-like object: |
| | 64 | >>> import os |
| | 65 | >>> stream = os.tmpfile() |
| | 66 | >>> object = ['foo', 'bar', ['baz']] |
| | 67 | >>> dump(object, stream) |
| | 68 | >>> stream.seek(0) |
| | 69 | >>> print stream.read() |
| | 70 | --- |
| | 71 | - foo |
| | 72 | - bar |
| | 73 | - - baz |
| | 74 | |
| | 75 | To load several documents from a single YAML stream, use the function |
| | 76 | 'load_documents()': |
| | 77 | >>> source = ''' |
| | 78 | ... --- |
| | 79 | ... american: |
| | 80 | ... - Boston Red Sox |
| | 81 | ... - Detroit Tigers |
| | 82 | ... - New York Yankees |
| | 83 | ... national: |
| | 84 | ... - New York Mets |
| | 85 | ... - Chicago Cubs |
| | 86 | ... - Atlanta Braves |
| | 87 | ... --- |
| | 88 | ... - [name , hr, avg ] |
| | 89 | ... - [Mark McGwire, 65, 0.278] |
| | 90 | ... - [Sammy Sosa , 63, 0.288] |
| | 91 | ... ''' |
| | 92 | >>> for document in load_documents(source): |
| | 93 | ... print document |
| | 94 | ... |
| | 95 | {'national': ['New York Mets', 'Chicago Cubs', 'Atlanta Braves'], 'american': ['Boston Red Sox', 'Detroit Tigers', 'New York Yankees']} |
| | 96 | [['name', 'hr', 'avg'], ['Mark McGwire', 65, 0.27800000000000002], ['Sammy Sosa', 63, 0.28799999999999998]] |
| | 97 | |
| | 98 | See the source code for more details. |
| | 99 | """ |
| | 100 | |