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database.py
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"""A database encapsulating collections of near-Earth objects and their close approaches.
A `NEODatabase` holds an interconnected data set of NEOs and close approaches.
It provides methods to fetch an NEO by primary designation or by name, as well
as a method to query the set of close approaches that match a collection of
user-specified criteria.
Under normal circumstances, the main module creates one NEODatabase from the
data on NEOs and close approaches extracted by `extract.load_neos` and
`extract.load_approaches`.
"""
class NEODatabase:
"""A database of near-Earth objects and their close approaches.
A `NEODatabase` contains a collection of NEOs and a collection of close
approaches. It additionally maintains a few auxiliary data structures to
help fetch NEOs by primary designation or by name and to help speed up
querying for close approaches that match criteria.
"""
def __init__(self, neos, approaches):
"""Create a new `NEODatabase`.
As a precondition, this constructor assumes that the collections of NEOs
and close approaches haven't yet been linked - that is, the
`.approaches` attribute of each `NearEarthObject` resolves to an empty
collection, and the `.neo` attribute of each `CloseApproach` is None.
However, each `CloseApproach` has an attribute (`._designation`) that
matches the `.designation` attribute of the corresponding NEO. This
constructor modifies the supplied NEOs and close approaches to link them
together - after it's done, the `.approaches` attribute of each NEO has
a collection of that NEO's close approaches, and the `.neo` attribute of
each close approach references the appropriate NEO.
:param neos: A collection of `NearEarthObject`s.
:param approaches: A collection of `CloseApproach`es.
"""
self._neos = neos
self._approaches = approaches
""" Dictionary of neo.designation to neo object mapping """
self.des_neo_map = {n.designation: n for n in neos}
""" Dictionary of neo.name to neo object mapping """
self.name_neo_map = {n.name: n for n in neos}
for approach in approaches:
# noinspection PyProtectedMember
approach.neo = self.des_neo_map[approach._designation]
def get_neo_by_designation(self, designation):
"""Find and return an NEO by its primary designation.
If no match is found, return `None` instead.
Each NEO in the data set has a unique primary designation, as a string.
The matching is exact - check for spelling and capitalization if no
match is found.
:param designation: The primary designation of the NEO to search for.
:return: The `NearEarthObject` with the desired primary designation, or `None`.
"""
return self.des_neo_map.get(designation) if designation in self.des_neo_map else None
def get_neo_by_name(self, name):
"""Find and return an NEO by its name.
If no match is found, return `None` instead.
Not every NEO in the data set has a name. No NEOs are associated with
the empty string nor with the `None` singleton.
The matching is exact - check for spelling and capitalization if no
match is found.
:param name: The name, as a string, of the NEO to search for.
:return: The `NearEarthObject` with the desired name, or `None`.
"""
return self.name_neo_map[name] if name in self.name_neo_map else None
def query(self, filters=()):
"""Query close approaches to generate those that match a collection of filters.
This generates a stream of `CloseApproach` objects that match all of the
provided filters.
If no arguments are provided, generate all known close approaches.
The `CloseApproach` objects are generated in internal order, which isn't
guaranteed to be sorted meaningfully, although is often sorted by time.
:param filters: A collection of filters capturing user-specified criteria.
:return: A stream of matching `CloseApproach` objects.
"""
for approach in self._approaches:
if not filters or all(f(approach) for f in filters):
yield approach