# Buildsheet autogenerated by ravenadm tool -- Do not edit. NAMEBASE= python-ttp VERSION= 0.9.5 KEYWORDS= python VARIANTS= v12 v13 SDESC[v12]= Template Text Parser (3.12) SDESC[v13]= Template Text Parser (3.13) HOMEPAGE= https://github.com/dmulyalin/ttp CONTACT= Python_Automaton[python@ironwolf.systems] DOWNLOAD_GROUPS= main SITES[main]= PYPIWHL/03/38/d475e7bde8d192ca5d64ccc0988f3d58f36211bd68c32b6c5883332a8abf DISTFILE[1]= ttp-0.9.5-py2.py3-none-any.whl:main DIST_SUBDIR= python-src DF_INDEX= 1 SPKGS[v12]= single SPKGS[v13]= single OPTIONS_AVAILABLE= PY312 PY313 OPTIONS_STANDARD= none VOPTS[v12]= PY312=ON PY313=OFF VOPTS[v13]= PY312=OFF PY313=ON DISTNAME= ttp-0.9.5.dist-info GENERATED= yes [PY312].USES_ON= python:v12,wheel [PY313].USES_ON= python:v13,wheel [FILE:2346:descriptions/desc.single] [Downloads] [PyPI versions] [Documentation status] # Template Text Parser TTP is a Python library for semi-structured text parsing using templates. ## Why? To save ones time on transforming raw text into structured data and beyond. ## How? Regexes, regexes everywhere... but, dynamically formed out of TTP templates with added capabilities to simplify the process of getting desired outcome. ## What? In essence TTP can help to: - Prepare, sort and load text data for parsing - Parse text using regexes dynamically derived out of templates - Process matches on the fly using broad set of built-in or custom functions - Combine match results in a structure with arbitrary hierarchy - Transform results in desired format to ease consumption by humans or machines - Return results to various destinations for storage or further processing Reference [documentation] for more information. TTP [Networktocode Slack channel] Collection of [TTP Templates] ## Example - as simple as it can be Simple interfaces configuration parsing example
Code ```python from ttp import ttp import pprint data = """ interface Loopback0 description Router-id-loopback ip address 192.168.0.113/24 ! interface Vlan778 description CPE_Acces_Vlan ip address 2002::fd37/124 ip vrf CPE1 ! """ template = """ interface {{ interface }} ip address {{ ip }}/{{ mask }} description {{ description }} ip vrf {{ vrf }} """ parser = ttp(data, template) parser.parse() pprint.pprint(parser.result(), width=100) # prints: # [[[{'description': 'Router-id-loopback', # 'interface': 'Loopback0', # 'ip': '192.168.0.113', # 'mask': '24'}, # {'description': 'CPE_Acces_Vlan', # 'interface': 'Vlan778', # 'ip': '2002::fd37', # 'mask': '124', # 'vrf': 'CPE1'}]]] ```
## Example - a bit more complicated For this example lets say we want to parse BGP peerings output, but combine state with configuration data, at the end we want to get pretty looking text table printed to screen.
Code ```python template=""" This template first parses "show bgp vrf CUST-1 vpnv4 unicast summary" commands output, forming results for "bgp_state" dictionary, where peer ip is a key. Following that, "show run | section bgp" output parsed by group "bgp_cfg". That [FILE:120:distinfo] 2c9fcf560b3f696e9fdd3554dc8e4622cbb10cac1d4fca13a7cf608c4a7fd137 85763 python-src/ttp-0.9.5-py2.py3-none-any.whl