Source code for scine_puffin.config

# -*- coding: utf-8 -*-
__copyright__ = """ This code is licensed under the 3-clause BSD license.
Copyright ETH Zurich, Department of Chemistry and Applied Biosciences, Reiher Group.
See LICENSE.txt for details.
"""

import operator
import os
import uuid
import yaml
from functools import reduce
from copy import deepcopy
from typing import Any, Dict, List, Optional


[docs]def dict_generator(indict: Dict[str, Any], pre: Optional[List[str]] = None): """ A small helper function/generator recursively generating all chains of keys for a given dictionary. Parameters ---------- indict : dict The dictionary to traverse. pre : dict The parent dictionary (used for recursion). Yields ------ key_chain : List[str] A list of keys from top level to bottom level for each end in the tree of possible value fields in the given dictionary. """ pre = deepcopy(pre) if pre is not None else [] if isinstance(indict, dict): for key, value in indict.items(): if isinstance(value, dict): for d in dict_generator(value, pre + [key]): yield d elif isinstance(value, list) or isinstance(value, tuple): for v in value: for d in dict_generator(v, pre + [key]): yield d else: yield pre + [key] else: yield indict
[docs]class Configuration: """ The Puffin configuration. All values are defaulted. The main sections of the configuration are: **daemon** The settings pertaining the execution of Puffin and its daemon process. **database** All information about the database the Puffin will be working on. **resources** The information about the hardware the Puffin is running on and is allowed to use for calculations and the execution of jobs. **programs** The settings for all the programs and packages Puffin relies on when executing jobs. Each program/packages has its own entry with the possibility of program specific settings. See the documentation for each individual program (found at ``scine_puffin.programs``) for more details about the individual settings. Note that the config is sensitive to environment variables when it is initialized/loaded. Each setting in the config can be set via a corresponding environment variable. The settings are given as ``PUFFIN_<key1>_<key2>=<value>`` where the keys are the chain of uppercase keys to the final setting. As an example: ``PUFFIN_DAEMON_MODE=debug`` would equal ``config['daemon']['mode'] = 'debug'``. In detail, the options in the configuration are: **daemon** mode : str The mode to run the Puffin in, options are ``release`` and ``debug``. The ``release`` mode will fork the main process and run in a daemonized mode while the ``debug`` mode will run in the current shell, reporting any output and errors to ``stdout`` and ``stderr``. job_dir : str The path to the directory containing the currently running job. software_dir : str The path to the directory containing the software bootstrapped from sources. The Puffin will generate and fill this directory upon bootstrapping. error_dir : str If existent, the Puffin instance will archive all failed jobs into this directory. archive_dir : str If existent, the Puffin instance will archive all correctly completed jobs into this directory. uuid : str A unique name for the Puffin instance. This can be set by the user, if not, a unique ID will automatically be generated. pid : str The path to the file identifying the PID of the Puffin instance. Automatically populated on start-up if left empty. pid_dir : str The path to a folder holding the file identifying the PID of the Puffin instance. log : str The path to the logfile of the Puffin instance. stop : str The path to a file that if existent will prompt the Puffin instance to stop taking new jobs and shut down instead. The instance will finish any running job though. remove_stop_file : bool Upon finding a stop file the daemon will stop, if this option is set to ``True`` the found file will be deleted allowing instant restarts. In cases where multiple puffins depend on the same stop file it may be required to keep the stop file, setting this option to ``False`` cycle_time_in_s : float The time in between scans of the database for new jobs that can be run. timeout_in_h : float The number of hours the Puffin instance should stay alive. Once this limit is reached, the Puffin is shut down and its running job will be killed and re-flagged as `new`. idle_timeout_in_h : float The number of hours the Puffin instance should stay alive. After receiving the last job, once the limit is reached, the Puffin is shut down. Any accepted job will reset the timer. A negative value disables this feature and make the Puffin run until the ``timeout_in_h`` is reached independent of it being idle the entire time. touch_time_in_s : float The time in seconds in between the attempts of the puffin to touch a calculation it is running in the database. In practice each Puffin will search for jobs in the database that are set as running but are not touched and reset them, as they indicate that the executing puffin has crashed. See ``job_reset_time_in_s`` for more information. job_reset_time_in_s : float The time in seconds that may have passed since the last touch on pending jobs before they are considered dead and are reset to be worked by another puffin. Note: The time in this setting has to be larger than the ``touch_time_in_s`` of all Puffins working on the same database to work! repeated_failure_stop : int The number of consecutive failed jobs that are allowed before the Puffin stops in order to avoid failing all jobs in a DB due to e.g. hardware issues. Failed jobs will be reset to new and rerun by other Puffins. Should always be greater than 1. max_number_of_jobs : int The maximum number of jobs a single Puffin will carry out (complete or failed), before gracefully exiting. Any negative number or zero disables this setting; by default it is disabled. enforce_memory_limit : bool If the given memory limit should be enforced (i.e., a job is killed as soon as it reaches it) or not. The puffin still continues to work on other calculations either way. **database** ip : str The IP at which the database server to connect with is found. port : int The port at which the database server to connect with is found. name : str The name of the database on the database server to connect with. Multiple databases (with multiple names) can be given as comma seperated list: ``name_one,name_two,name_three``. The databases will be used in descending order of priority. Meaning: at any given time all jobs of the first named database will have to be completed before any job of the second one will be considered by the Puffin instance. **resources** cores : int The number of threads the executed jobs are allowed to use. Note that only jobs that are below this value in their requirements will be accepted by the Puffin instance. memory : float The total amount of memory the Puffin and its jobs are allowed to use. Given in GB. Note that only jobs that are below this value in their requirements will be accepted by the Puffin instance. disk : float The total amount of disk space the Puffin and its jobs are allowed to use. Given in GB. Note that only jobs that are below this value in their requirements will be accepted by the Puffin instance. ssh_keys : List[str] Any SSH keys needed by the Puffin in order to connect to the database or to bootstrap programs. **programs** The specific details for each program are given in their respective documentation. However, common options are: available : bool The switch whether the program shall be available to Puffin. Any programs set to be unavailable will not be bootstrapped. source : str The link to the source location of the given program, usually a https link to a git repository root : str The folder at which the program is already installed at. This will request a non source based bootstrapping of the program. version : str The version of the program to use. Can also be a git tag or commit SHA. The default version of a configuration file can be generated using ``python3 -m puffin configure`` (if no environment variables are set). """ def __init__(self) -> None: self._data: Dict[str, Dict[str, Any]] = {} self._data["database"] = {"ip": "127.0.0.1", "port": 27017, "name": "default"} self._data["resources"] = { "cores": 1, "memory": 1.0, "disk": 5.0, "ssh_keys": [], } self._data["daemon"] = { "mode": "release", "job_dir": "/scratch/puffin/jobs", "software_dir": "/scratch/puffin/software", "error_dir": "", "archive_dir": "", "uuid": "", "pid": "", "pid_dir": "/scratch/puffin/", "log": "/scratch/puffin/puffin.log", "stop": "/scratch/puffin/puffin.stop", "remove_stop_file": True, "cycle_time_in_s": 10.0, "timeout_in_h": 48.0, "touch_time_in_s": 1500.0, "job_reset_time_in_s": 7200.0, "idle_timeout_in_h": -1.0, "max_number_of_jobs": -1, "repeated_failure_stop": 100, "enforce_memory_limit": True, } self._data["programs"] = { "ams": { "available": False, "source": "git@gitlab.chab.ethz.ch:scine/ams_wrapper.git", "root": "", "version": "release/1.0.0", "march": "native", "cxx_compiler_flags": "", "cmake_flags": "", }, "readuct": { "available": True, "source": "git@gitlab.chab.ethz.ch:scine/readuct.git", "root": "", "version": "release/6.0.0", "march": "native", "cxx_compiler_flags": "", "cmake_flags": "", }, "core": { "available": True, "source": "git@gitlab.chab.ethz.ch:scine/core.git", "root": "", "version": "release/6.0.1", "march": "native", "cxx_compiler_flags": "", "cmake_flags": "", }, "utils": { "available": True, "source": "git@gitlab.chab.ethz.ch:scine/utils-open-source.git", "root": "", "version": "release/10.0.0", "march": "native", "cxx_compiler_flags": "", "cmake_flags": "", }, "database": { "available": True, "source": "git@gitlab.chab.ethz.ch:scine/database.git", "root": "", "version": "release/1.4.0", "march": "native", "cxx_compiler_flags": "", "cmake_flags": "", }, "sparrow": { "available": True, "source": "git@gitlab.chab.ethz.ch:scine/sparrow.git", "root": "", "version": "release/5.1.0", "march": "native", "cxx_compiler_flags": "", "cmake_flags": "", }, "molassembler": { "available": True, "source": "git@gitlab.chab.ethz.ch:scine/molassembler.git", "root": "", "version": "release/3.0.0", "march": "native", "cxx_compiler_flags": "", "cmake_flags": "", }, "swoose": { 'available': False, 'source': 'git@gitlab.chab.ethz.ch:scine/swoose.git', 'root': '', 'version': 'release/2.1.0', 'march': 'native', "cmake_flags": "", "cxx_compiler_flags": "", }, "turbomole": { 'available': False, 'source': '', 'root': '', 'version': '7.2.0', }, "orca": { "available": False, "source": "", "root": "", "version": "4.1", }, "cp2k": { "available": False, "source": "", "root": "", "version": "", }, "serenity": { "available": False, "source": "git@gitlab.chab.ethz.ch:scine/serenity_wrapper.git", "root": "", "version": "release/3.1.0", "march": "native", "cxx_compiler_flags": "", "cmake_flags": "", }, "gaussian": { "available": False, "source": "", "root": "", "version": "g09 Rev. D.01", }, "xtb": { "available": False, "source": "git@gitlab.chab.ethz.ch:scine/xtb_wrapper.git", "root": "", "version": "release/3.0.1", "march": "native", "cxx_compiler_flags": "", "cmake_flags": "", }, "kinetx": { "available": True, "source": "git@gitlab.chab.ethz.ch:scine/kinetx.git", "root": "", "version": "release/3.0.0", "march": "native", "cxx_compiler_flags": "", "cmake_flags": "", }, "rms": { "available": False, "source": "", "root": "", "version": "main" }, "mrcc": { 'available': False, 'source': '', 'root': '', 'version': 'march2022', }, "parrot": { "available": False, "source": "git@gitlab.chab.ethz.ch:scine/parrot.git", "root": "", "version": "develop" }, } def __getitem__(self, key: str) -> dict: """ The configuration can be used similarly to a regular dictionary. Parameters ---------- key : str One of: ``daemon``, ``database``, ``resources``, ``programs``. Returns ------- settings : dict A sub-dict of the total configuration. """ return self._data[key]
[docs] def database(self) -> dict: """ Grants direct access to the ``database`` part of the configuration. Returns ------- settings : dict A sub-dict of the total configuration. """ return self._data["database"]
[docs] def resources(self) -> dict: """ Grants direct access to the ``resources`` part of the configuration. Returns ------- settings : dict A sub-dict of the total configuration. """ return self._data["resources"]
[docs] def daemon(self) -> dict: """ Grants direct access to the ``daemon`` part of the configuration. Returns ------- settings : dict A sub-dict of the total configuration. """ return self._data["daemon"]
[docs] def programs(self) -> dict: """ Grants direct access to the ``programs`` part of the configuration. Returns ------- settings : dict A sub-dict of the total configuration. """ return self._data["programs"]
[docs] def dump(self, path: str) -> None: """ Dumps the current configuration into a .yaml file. Parameters ---------- path : str The file to dump the configuration into. """ # Parse environment self.load() yaml_dir = os.path.split(path)[0] if yaml_dir: if yaml_dir and not os.path.exists(yaml_dir): os.makedirs(yaml_dir) with open(path, "w") as outfile: yaml.dump(self._data, outfile, default_flow_style=False)
[docs] def load(self, path: Optional[str] = None) -> None: """ Loads the configuration. The configuration is initialized using the default values, then all settings given in the file (if there is one) are applied. Finally, all settings given as environment variables are applied. Each setting in the config can be set via a corresponding environment variable. The settings are given as ``PUFFIN_<key1>_<key2>=<value>`` where the keys are the chain of uppercase keys to the final setting. As an example: ``PUFFIN_DAEMON_MODE=debug`` would equal ``config['daemon']['mode'] = 'debug'``. The exact load order is (with the latter one overriding the former): 1. defaults 2. file path 3. environment variables Parameters ---------- path : str The file to read the configuration from. Default: ``None`` """ # Parse file if path is not None: with open(path, "r") as infile: new_data = yaml.safe_load(infile) if "database" in new_data: self._apply_changes(self._data["database"], new_data["database"]) if "resources" in new_data: self._apply_changes(self._data["resources"], new_data["resources"]) if "programs" in new_data: for key in self._data["programs"]: if key in new_data["programs"]: self._apply_changes(self._data["programs"][key], new_data["programs"][key]) if "daemon" in new_data: self._apply_changes(self._data["daemon"], new_data["daemon"]) # Parse environment env = os.environ.copy() for key_chain in dict_generator(self._data): key = ("PUFFIN_" + "_".join(key_chain)).upper() if key in env: try: current_value = reduce(operator.getitem, key_chain, self._data) except BaseException as e: raise KeyError("The environment variable '{}' does not translate to a valid option.".format(key)) \ from e try: if isinstance(current_value, bool): value = env[key].lower() in ["true", "1"] else: value = type(current_value)(env[key]) # type: ignore except BaseException as e: raise KeyError( "The environment variable '{}' can not be translated " "into the correct variable type.".format(key) ) from e reduce(operator.getitem, key_chain[:-1], self._data)[key_chain[-1]] = value # Generate uuid of specified type if unset if not self._data["daemon"]["uuid"] or self._data["daemon"]["uuid"] == "uuid1": self._data["daemon"]["uuid"] = "puffin-" + uuid.uuid1().hex elif self._data["daemon"]["uuid"] == "uuid4": self._data["daemon"]["uuid"] = "puffin-" + uuid.uuid4().hex # Generate pid file path if not self._data["daemon"]["pid"]: self._data["daemon"]["pid"] = os.path.join( self._data["daemon"]["pid_dir"], f'{self._data["daemon"]["uuid"]}.pid' )
def _apply_changes(self, to_dict: dict, from_dict: dict) -> None: """ A small helper applying changes from one dictionary to another, checking the types and making sure only existing keys are mapped. Parameters ---------- to_dict : dict The dictionary to apply the changes to. from_dict : dict The dictionary to read the changes from. Raises ------ TypeError If a set of values of the same key do not have matching types. KeyError If a key in the ``fromDict`` does not exist in the ``toDict``. """ for key in to_dict: if key in from_dict: # type check if isinstance(from_dict[key], type(to_dict[key])): to_dict[key] = from_dict[key] else: raise TypeError( "Expected " + str(type(to_dict[key])) + " type variable for " "as value for the '" + key + "' field." ) else: raise KeyError("Unknown key: " + key + ".")