Initial backup_tool code
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__pycache__/
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# Backups
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I wrote this Python program to manage backups of the stuff running on our
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server. I know there's probably better ways to do this, but I really liked
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working on this and it works good enough for our usecase.
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import argparse
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import sys
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from specs import parse_specs_file
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# This just displays the error type and message, not the stack trace
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def except_hook(ext_type, value, traceback):
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sys.stderr.write("{}: {}\n".format(ext_type.__name__, value))
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sys.excepthook = except_hook
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# Define parser
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parser = argparse.ArgumentParser(
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description='Backup directories and Docker volumes.')
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parser.add_argument('-s', '--spec', action='append', dest='specs',
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help='Spec to back up. If not specified, all specs in '
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'in provided files are processed.')
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parser.add_argument('-j', '--json', action='store_const', const=True,
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default=False, help='Print out the parsed specs as JSON '
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'and exit')
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parser.add_argument('file', nargs='+',
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help='A YAML file containg specs.')
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# Parse arguments
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args = parser.parse_args()
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specs = sum([parse_specs_file(path) for path in args.file], [])
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# Filter specs if needed
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if args.specs:
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specs = filter(lambda s: s.name in args.specs, specs)
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# Dump parsed data as json
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if args.json:
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import json
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print(json.dumps([spec.to_dict() for spec in specs], indent=4))
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else:
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pass
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# Run the backups
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# for spec in specs:
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# spec.backup()
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from .specs import Spec
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from .parser import parse_specs_file
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import yaml
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from pathlib import Path
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from specs import Spec
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from typing import List, Dict
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class InvalidKeyError(Exception):
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def __init__(self, key):
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message = "Invalid key: {}".format(key)
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super().__init__(key)
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class MissingKeyError(Exception):
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def __init__(self, key):
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message = "Missing key: {}".format(key)
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super().__init__(key)
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def parse_specs_file(path: Path) -> List[Spec]:
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"""
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Parse a YAML file defining backup specs.
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Args:
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path: path to the specs file
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Returns:
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A list of specs
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"""
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# Skeleton of a spec config
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# If a value is None, this means it doesn't have a default value and must be
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# defined
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spec_skel = {
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"source": None,
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"destination": None,
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"limit": None,
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"volume": False,
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"notify": {
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"title": "Backup Notification",
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"events": ["success"]
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}
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}
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# Read YAML file
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with open(path, "r") as yaml_file:
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data = yaml.load(yaml_file, Loader=yaml.Loader)
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# Check specs section exists
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if "specs" not in data:
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raise MissingKeyError("specs")
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# TODO check if only specs section exists
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specs = []
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# Check format for each spec
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for key in data["specs"]:
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specs.append(Spec.from_dict(key, combine_with_skeleton(
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data["specs"][key], spec_skel)
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))
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return specs
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def combine_with_skeleton(data: Dict, skel: Dict) -> Dict:
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"""
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Compare a dict with a given skeleton dict, and fill in default values where
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needed.
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"""
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# First, check for illegal keys
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for key in data:
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if key not in skel:
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raise InvalidKeyError(key)
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# Then, check the default values
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for key, value in skel.items():
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if key not in data:
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# Raise error if there's not default value
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if value is None:
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raise MissingKeyError(key)
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# Replace with default value
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data[key] = value
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# Error if value is not same type as default value
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elif type(data[key]) != type(value) and value is not None:
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raise TypeError("Invalid value type")
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# Recurse into dicts
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elif type(value) == dict:
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data[key] = combine_with_skeleton(data[key], value)
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return data
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# Test cases
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if __name__ == "__main__":
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d1 = {
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"a": 5
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}
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s1 = {
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"a": 7,
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"b": 2
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}
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r1 = {
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"a": 5,
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"b": 2
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}
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assert combine_with_skeleton(d1, s1) == r1
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from pathlib import Path
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import os
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class Spec:
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def __init__(self, name, destination, limit, title, events=None):
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self.name = name
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self.destination = Path(destination)
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self.limit = limit
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self.title = title
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self.events = ["success"] if events is None else events
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def to_dict(self):
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return {
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"name": self.name,
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"destination": str(self.destination),
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"limit": self.limit,
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"notify": {
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"title": self.title,
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"events": self.events
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}
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}
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def backup(self):
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raise NotImplementedError()
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def notify(status_code):
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if status_code:
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if "failure" not in self.events:
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return
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message = "backup for {} failed.".format(self.name)
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else:
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if "success" not in self.events:
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return
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message = "backup for {} succeeded.".format(self.name)
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# Read API key from env vars
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try:
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key = os.environ["IFTTT_API_KEY"]
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# Don't send notification if there's not API key defined
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except KeyError:
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return
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url = "https://maker.ifttt.com/trigger/{}/with/key/{}".format(
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"phone_notifications",
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key
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)
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data = {
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"value1": self.title,
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"value2": message
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}
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requests.post(url, data=data)
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def get_filename(self):
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return '{}_{}.tar.gz'.format(
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self.name,
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datetime.now().strftime('%Y-%m-%d_%H-%M-%S')
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)
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@staticmethod
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def from_dict(name, data) -> "Specification":
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if data.get("volume", False):
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return VolumeSpec.from_dict(name, data)
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return DirSpec.from_dict(name, data)
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@staticmethod
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def from_file(path: str):
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with open(path, 'r') as yaml_file:
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data = yaml.load(yaml_file, Loader=yaml.Loader)
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return [Spec.from_dict(name, info)
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for name, info in data["specs"].items()]
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class DirSpec(Spec):
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def __init__(self, name, source, destination, limit, title, events=None):
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super().__init__(name, destination, limit, title, events)
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self.source = Path(source)
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def backup(self):
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tarballs = self.destination.glob('*.tar.gz')
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# Remove redundant tarballs
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if len(tarballs) >= self.limit:
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for path in tarballs[self.limit - 1:]:
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path.unlink()
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# Create new tarball
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status_code = os.system(
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"tar -C '{}' -czf '{}' -- .".format(
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self.source,
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self.destination / self.get_filename()
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)
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)
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self.notify(status_code)
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@staticmethod
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def from_dict(name, data):
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return DirSpec(
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name,
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data["source"],
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data["destination"],
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data["limit"],
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data["notify"]["title"],
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data["notify"]["events"]
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)
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class VolumeSpec(Spec):
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pass
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specs:
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test-spec:
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source: '/some/path'
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destination: '/some/other/path'
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limit: 7
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notify:
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events:
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- 'failure'
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test-2:
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source: '/path/to'
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destination: '/to/some/other/path'
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limit: 2
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#!/usr/bin/env sh
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# Zip app
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(cd app && zip -r ../app.zip *)
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pwd
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# Add shebang to top of file
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echo "#!/usr/bin/env python3" | cat - app.zip > backup_tool
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chmod a+x backup_tool
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# Move executable over
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mv backup_tool /usr/local/bin
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# Remove zip
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rm app.zip
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