# http://pyrocko.org - GPLv3
#
# The * Pyrocko Developers, 21st Century
# ---|P------/S----------~Lg----------
from __future__ import absolute_import, print_function
import sys
import os
import re
import math
import threading
import sqlite3
import logging
from collections import defaultdict
from pyrocko.io_common import FileLoadError
from pyrocko.guts import Object, Int, List, Tuple, String, Timestamp, Dict
from pyrocko import util
from . import model, io, cache
from .model import to_kind_id, to_kind, separator, WaveformOrder
from .client import fdsn, catalog
from . import client, environment, error, pile
logger = logging.getLogger('pyrocko.squirrel.base')
guts_prefix = 'pf'
# TODO remove debugging stuff
# from matplotlib import pyplot as plt
#
# class SFig(object):
# def __init__(self):
# self.line = 0
#
# def draw(self, eles, color='black'):
# if not isinstance(eles, list):
# eles = [eles]
#
# for ele in eles:
# plt.plot(
# [ele.tmin, ele.tmax],
# [self.line, self.line], color=color, alpha=0.5)
# plt.plot(
# [ele.tmin, ele.tmax],
# [self.line, self.line], 'o', color=color, alpha=0.5, ms=2)
#
# def draw_span(self, tmin, tmax, color='orange'):
# plt.plot(
# [tmin, tmax],
# [self.line, self.line], color=color)
#
# def next(self):
# self.line += 1
#
# def show(self):
# plt.show()
#
# def set_tspan(self, tmin, tmax):
# plt.xlim(tmin, tmax)
#
#
# f = SFig()
def lpick(condition, seq):
ft = [], []
for ele in seq:
ft[int(bool(condition(ele)))].append(ele)
return ft
def execute_get1(connection, sql, args):
return list(connection.execute(sql, args))[0]
g_icount = 0
g_lock = threading.Lock()
def make_unique_name():
with g_lock:
global g_icount
name = '%i_%i' % (os.getpid(), g_icount)
g_icount += 1
return name
def codes_fill(n, codes):
return codes[:n] + ('*',) * (n-len(codes))
kind_to_ncodes = {
'station': 4,
'channel': 5,
'waveform': 6,
'waveform_promise': 6}
def codes_patterns_for_kind(kind, codes):
cfill = codes_fill(kind_to_ncodes[kind], codes)
if kind == 'station':
cfill2 = list(cfill)
cfill2[3] = '[*]'
return cfill, cfill2
return (cfill,)
def group_channels(channels):
groups = defaultdict(list)
for channel in channels:
codes = channel.codes
gcodes = codes[:-1] + (codes[-1][:-1],)
groups[gcodes].append(channel)
return groups
def pyrocko_station_from_channel_group(group, extra_args):
list_of_args = [channel._get_pyrocko_station_args() for channel in group]
args = util.consistency_merge(list_of_args + extra_args)
from pyrocko import model as pmodel
return pmodel.Station(
network=args[0],
station=args[1],
location=args[2],
lat=args[3],
lon=args[4],
elevation=args[5],
depth=args[6],
channels=[ch.get_pyrocko_channel() for ch in group])
def blocks(tmin, tmax, deltat, nsamples_block=100000):
tblock = deltat * nsamples_block
iblock_min = int(math.floor(tmin / tblock))
iblock_max = int(math.ceil(tmax / tblock))
for iblock in range(iblock_min, iblock_max):
yield iblock * tblock, (iblock+1) * tblock
def gaps(avail, tmin, tmax):
assert tmin < tmax
# f.next()
# f.draw_span(tmin, tmax, 'purple')
# f.next()
data = [(tmax, 1), (tmin, -1)]
for (tmin_a, tmax_a) in avail:
# f.draw_span(tmin_a, tmax_a, 'cyan')
assert tmin_a < tmax_a
data.append((tmin_a, 1))
data.append((tmax_a, -1))
# f.next()
data.sort()
s = 1
gaps = []
tmin_g = None
for t, x in data:
if s == 1 and x == -1:
tmin_g = t
elif s == 0 and x == 1 and tmin_g is not None:
tmax_g = t
if tmin_g != tmax_g:
gaps.append((tmin_g, tmax_g))
s += x
# for tmin, tmax in gaps:
# f.draw_span(tmin, tmax, 'pink')
#
# f.next()
return gaps
def order_key(order):
return (order.codes, order.tmin, order.tmax)
[docs]class Selection(object):
'''
Database backed file selection.
:param database: :py:class:`Database` object or path to database
:param str persistent: if given a name, create a persistent selection
By default, a temporary table in the database is created to hold the names
of the files in the selection. This table is only visible inside the
application which created it. If a name is given to ``persistent``, a named
selection is created, which is visible also in other applications using the
same database. Paths of files can be added to the selection using the
:py:meth:`add` method.
'''
def __init__(self, database, persistent=None):
self._conn = None
if not isinstance(database, Database):
database = get_database(database)
if persistent is not None:
assert isinstance(persistent, str)
if not re.match(r'^[a-zA-Z_][a-zA-Z0-9_]*$', persistent):
raise error.SquirrelError(
'invalid persistent selection name: %s' % persistent)
self.name = 'psel_' + persistent
else:
self.name = 'sel_' + make_unique_name()
self._persistent = persistent is not None
self._database = database
self._conn = self._database.get_connection()
self._sources = []
self._names = {
'db': 'main' if self._persistent else 'temp',
'file_states': self.name + '_file_states',
'bulkinsert': self.name + '_bulkinsert'}
self._conn.execute(self._register_table(self._sql(
'''
CREATE TABLE IF NOT EXISTS %(db)s.%(file_states)s (
file_id integer PRIMARY KEY,
file_state integer,
kind_mask integer,
format text)
''')))
self._conn.execute(self._sql(
'''
CREATE INDEX
IF NOT EXISTS %(db)s.%(file_states)s_index_file_state
ON %(file_states)s (file_state)
'''))
def __del__(self):
if hasattr(self, '_conn') and self._conn:
if not self._persistent:
self._delete()
else:
self._conn.commit()
def _register_table(self, s):
return self._database._register_table(s)
def _sql(self, s):
return s % self._names
[docs] def get_database(self):
'''
Get the database to which this selection belongs.
:returns: :py:class:`Database` object
'''
return self._database
def _delete(self):
'''
Destroy the tables assoctiated with this selection.
'''
self._conn.execute(self._sql(
'DROP TABLE %(db)s.%(file_states)s'))
self._conn.commit()
[docs] def silent_touch(self, file_path):
'''
Update modification time of file without initiating reindexing.
Useful to prolong validity period of data with expiration date.
'''
# sql = 'BEGIN TRANSACTION'
# self._conn.execute(sql)
try:
sql = 'SELECT format, size FROM files WHERE path = ?'
fmt, size = execute_get1(self._conn, sql, (file_path,))
mod = io.get_backend(fmt)
mod.touch(file_path)
file_stats = mod.get_stats(file_path)
if file_stats[1] != size:
raise FileLoadError(
'Silent update for file "%s" failed: size has changed.'
% file_path)
sql = '''
UPDATE files
SET mtime = ?
WHERE path = ?
'''
self._conn.execute(sql, (file_stats[0], file_path))
self._conn.commit()
except FileLoadError:
# self._conn.execute('ROLLBACK')
raise
[docs] def add(
self,
file_paths,
kind_mask=model.g_kind_mask_all,
format='detect'):
'''
Add files to the selection.
:param file_paths: Paths to files to be added to the selection.
:type file_paths: iterator yielding ``str`` objects
'''
if isinstance(file_paths, str):
file_paths = [file_paths]
file_paths = util.short_to_list(100, file_paths)
try:
if len(file_paths) < 100:
# short non-iterator file_paths: can do without temp table
self._conn.executemany(
'''
INSERT OR IGNORE INTO files
VALUES (NULL, ?, NULL, NULL, NULL)
''', ((x,) for x in file_paths))
self._conn.executemany(self._sql(
'''
DELETE FROM %(db)s.%(file_states)s
WHERE file_id IN (
SELECT files.file_id
FROM files
WHERE files.path == ? )
AND kind_mask != ? OR format != ?
'''), (
(path, kind_mask, format) for path in file_paths))
self._conn.executemany(self._sql(
'''
INSERT OR IGNORE INTO %(db)s.%(file_states)s
SELECT files.file_id, 0, ?, ?
FROM files
WHERE files.path = ?
'''), ((kind_mask, format, path) for path in file_paths))
self._conn.executemany(self._sql(
'''
UPDATE %(db)s.%(file_states)s
SET file_state = 1
WHERE file_id IN (
SELECT files.file_id
FROM files
WHERE files.path == ? )
AND file_state != 0
'''), ((path,) for path in file_paths))
return
except TypeError:
pass
self._conn.execute(self._sql(
'''
CREATE TEMP TABLE temp.%(bulkinsert)s
(path text)
'''))
self._conn.executemany(self._sql(
'INSERT INTO temp.%(bulkinsert)s VALUES (?)'),
((x,) for x in file_paths))
self._conn.execute(self._sql(
'''
INSERT OR IGNORE INTO files
SELECT NULL, path, NULL, NULL, NULL
FROM temp.%(bulkinsert)s
'''))
self._conn.execute(self._sql(
'''
DELETE FROM %(db)s.%(file_states)s
WHERE file_id IN (
SELECT files.file_id
FROM temp.%(bulkinsert)s
INNER JOIN files
ON temp.%(bulkinsert)s.path == files.path)
AND kind_mask != ? OR format != ?
'''), (kind_mask, format))
self._conn.execute(self._sql(
'''
INSERT OR IGNORE INTO %(db)s.%(file_states)s
SELECT files.file_id, 0, ?, ?
FROM temp.%(bulkinsert)s
INNER JOIN files
ON temp.%(bulkinsert)s.path == files.path
'''), (kind_mask, format))
self._conn.execute(self._sql(
'''
UPDATE %(db)s.%(file_states)s
SET file_state = 1
WHERE file_id IN (
SELECT files.file_id
FROM temp.%(bulkinsert)s
INNER JOIN files
ON temp.%(bulkinsert)s.path == files.path)
AND file_state != 0
'''))
self._conn.execute(self._sql(
'DROP TABLE temp.%(bulkinsert)s'))
[docs] def remove(self, file_paths):
'''
Remove files from the selection.
:param file_paths: Paths to files to be removed from the selection.
:type file_paths: ``list`` of ``str``
'''
if isinstance(file_paths, str):
file_paths = [file_paths]
self._conn.executemany(self._sql(
'''
DELETE FROM %(db)s.%(file_states)s
WHERE %(db)s.%(file_states)s.file_id IN
(SELECT files.file_id
FROM files
WHERE files.path == ?)
'''), ((path,) for path in file_paths))
def _set_file_states_known(self):
'''
Set file states to "known" (2).
'''
self._conn.execute(self._sql(
'''
UPDATE %(db)s.%(file_states)s
SET file_state = 2
WHERE file_state < 2
'''))
def _set_file_states_force_check(self):
'''
Set file states to "known" (2).
'''
self._conn.execute(self._sql(
'''
UPDATE %(db)s.%(file_states)s
SET file_state = 1
'''))
[docs] def undig_grouped(self, skip_unchanged=False):
'''
Get content inventory of all files in selection.
:param: skip_unchanged: if ``True`` only inventory of modified files
is yielded (:py:meth:`_flag_modified` must be called beforehand).
This generator yields tuples ``((format, path), nuts)`` where ``path``
is the path to the file, ``format`` is the format assignation or
``'detect'`` and ``nuts`` is a list of :py:class:`pyrocko.squirrel.Nut`
objects representing the contents of the file. '''
if skip_unchanged:
where = '''
WHERE %(db)s.%(file_states)s.file_state == 0
'''
else:
where = ''
sql = self._sql('''
SELECT
%(db)s.%(file_states)s.format,
files.path,
files.format,
files.mtime,
files.size,
nuts.file_segment,
nuts.file_element,
kind_codes.kind_id,
kind_codes.codes,
nuts.tmin_seconds,
nuts.tmin_offset,
nuts.tmax_seconds,
nuts.tmax_offset,
nuts.deltat
FROM %(db)s.%(file_states)s
LEFT OUTER JOIN files
ON %(db)s.%(file_states)s.file_id = files.file_id
LEFT OUTER JOIN nuts
ON files.file_id = nuts.file_id
LEFT OUTER JOIN kind_codes
ON nuts.kind_codes_id == kind_codes.kind_codes_id
''' + where + '''
ORDER BY %(db)s.%(file_states)s.file_id
''')
nuts = []
format_path = None
for values in self._conn.execute(sql):
if format_path is not None and values[1] != format_path[1]:
yield format_path, nuts
nuts = []
if values[2] is not None:
nuts.append(model.Nut(values_nocheck=values[1:]))
format_path = values[:2]
if format_path is not None:
yield format_path, nuts
def iter_paths(self):
sql = self._sql('''
SELECT
files.path
FROM %(db)s.%(file_states)s
INNER JOIN files
ON files.file_id = %(db)s.%(file_states)s.file_id
ORDER BY %(db)s.%(file_states)s.file_id
''')
for values in self._conn.execute(sql):
yield values[0]
def _flag_modified(self, check=True):
'''
Mark files which have been modified.
:param check: if ``True`` query modification times of known files on
disk. If ``False``, only flag unknown files.
Assumes file state is 0 for newly added files, 1 for files added again
to the selection (forces check), or 2 for all others (no checking is
done for those).
Sets file state to 0 for unknown or modified files, 2 for known and not
modified files.
'''
sql = self._sql('''
UPDATE %(db)s.%(file_states)s
SET file_state = 0
WHERE (
SELECT mtime
FROM files
WHERE files.file_id == %(db)s.%(file_states)s.file_id) IS NULL
AND file_state == 1
''')
self._conn.execute(sql)
if not check:
sql = self._sql('''
UPDATE %(db)s.%(file_states)s
SET file_state = 2
WHERE file_state == 1
''')
self._conn.execute(sql)
return
def iter_file_states():
sql = self._sql('''
SELECT
files.file_id,
files.path,
files.format,
files.mtime,
files.size
FROM %(db)s.%(file_states)s
INNER JOIN files
ON %(db)s.%(file_states)s.file_id == files.file_id
WHERE %(db)s.%(file_states)s.file_state == 1
ORDER BY %(db)s.%(file_states)s.file_id
''')
for (file_id, path, fmt, mtime_db,
size_db) in self._conn.execute(sql):
try:
mod = io.get_backend(fmt)
file_stats = mod.get_stats(path)
except FileLoadError:
yield 0, file_id
continue
except io.UnknownFormat:
continue
if (mtime_db, size_db) != file_stats:
yield 0, file_id
else:
yield 2, file_id
# could better use callback function here...
sql = self._sql('''
UPDATE %(db)s.%(file_states)s
SET file_state = ?
WHERE file_id = ?
''')
self._conn.executemany(sql, iter_file_states())
def get_paths(self):
return list(self.iter_paths())
[docs]class SquirrelStats(Object):
'''
Container to hold statistics about contents available through a squirrel.
'''
nfiles = Int.T(
help='number of files in selection')
nnuts = Int.T(
help='number of index nuts in selection')
codes = List.T(
Tuple.T(content_t=String.T()),
help='available code sequences in selection, e.g. '
'(agency, network, station, location) for stations nuts.')
kinds = List.T(
String.T(),
help='available content types in selection')
total_size = Int.T(
help='aggregated file size of files is selection')
counts = Dict.T(
String.T(), Dict.T(Tuple.T(content_t=String.T()), Int.T()),
help='breakdown of how many nuts of any content type and code '
'sequence are available in selection, ``counts[kind][codes]``')
tmin = Timestamp.T(
optional=True,
help='earliest start time of all nuts in selection')
tmax = Timestamp.T(
optional=True,
help='latest end time of all nuts in selection')
def __str__(self):
kind_counts = dict(
(kind, sum(self.counts[kind].values())) for kind in self.kinds)
codes = ['.'.join(x) for x in self.codes]
if len(codes) > 20:
codes = codes[:10] \
+ ['[%i more]' % (len(codes) - 20)] \
+ codes[-10:]
scodes = '\n' + util.ewrap(codes, indent=' ') if codes else '<none>'
stmin = util.tts(self.tmin) if self.tmin is not None else '<none>'
stmax = util.tts(self.tmax) if self.tmax is not None else '<none>'
s = '''
available codes: %s
number of files: %i
total size of known files: %s
number of index nuts: %i
available nut kinds: %s
time span of indexed contents: %s - %s''' % (
scodes,
self.nfiles,
util.human_bytesize(self.total_size),
self.nnuts,
', '.join('%s: %i' % (
kind, kind_counts[kind]) for kind in sorted(self.kinds)),
stmin, stmax)
return s
[docs]class Squirrel(Selection):
'''
Prompt, lazy, indexing, caching, dynamic seismological dataset access.
:param database: :py:class:`Database` object or path to database
:param str persistent: if given a name, create a persistent selection
By default, temporary tables are created in the attached database to hold
the names of the files in the selection as well as various indices and
counters. These tables are only visible inside the application which
created it. If a name is given to ``persistent``, a named selection is
created, which is visible also in other applications using the same
database. Paths of files can be added to the selection using the
:py:meth:`add` method.
'''
def __init__(
self, env=None, database=None, cache_path=None, persistent=None):
if not isinstance(env, environment.SquirrelEnvironment):
env = environment.get_environment(env)
if database is None:
database = env.database_path
if cache_path is None:
cache_path = env.cache_path
if persistent is None:
persistent = env.persistent
Selection.__init__(self, database=database, persistent=persistent)
c = self._conn
self._content_caches = {
'waveform': cache.ContentCache(),
'default': cache.ContentCache()}
self._cache_path = cache_path
self._pile = None
self._names.update({
'nuts': self.name + '_nuts',
'kind_codes_count': self.name + '_kind_codes_count'})
c.execute(self._register_table(self._sql(
'''
CREATE TABLE IF NOT EXISTS %(db)s.%(nuts)s (
nut_id integer PRIMARY KEY,
file_id integer,
file_segment integer,
file_element integer,
kind_id integer,
kind_codes_id integer,
tmin_seconds integer,
tmin_offset float,
tmax_seconds integer,
tmax_offset float,
deltat float,
kscale integer)
''')))
c.execute(self._sql(
'''
CREATE UNIQUE INDEX IF NOT EXISTS %(db)s.%(nuts)s_file_element
ON %(nuts)s (file_id, file_segment, file_element)
'''))
c.execute(self._register_table(self._sql(
'''
CREATE TABLE IF NOT EXISTS %(db)s.%(kind_codes_count)s (
kind_codes_id integer PRIMARY KEY,
count integer)
''')))
c.execute(self._sql(
'''
CREATE INDEX IF NOT EXISTS %(db)s.%(nuts)s_index_file_id
ON %(nuts)s (file_id)
'''))
c.execute(self._sql(
'''
CREATE INDEX IF NOT EXISTS %(db)s.%(nuts)s_index_tmin_seconds
ON %(nuts)s (tmin_seconds)
'''))
c.execute(self._sql(
'''
CREATE INDEX IF NOT EXISTS %(db)s.%(nuts)s_index_tmax_seconds
ON %(nuts)s (tmax_seconds)
'''))
c.execute(self._sql(
'''
CREATE INDEX IF NOT EXISTS %(db)s.%(nuts)s_index_kscale
ON %(nuts)s (kind_id, kscale, tmin_seconds)
'''))
c.execute(self._sql(
'''
CREATE TRIGGER IF NOT EXISTS %(db)s.%(nuts)s_delete_nuts
BEFORE DELETE ON main.files FOR EACH ROW
BEGIN
DELETE FROM %(nuts)s WHERE file_id == old.file_id;
END
'''))
c.execute(self._sql(
'''
CREATE TRIGGER IF NOT EXISTS %(db)s.%(nuts)s_delete_nuts2
BEFORE UPDATE ON main.files FOR EACH ROW
BEGIN
DELETE FROM %(nuts)s WHERE file_id == old.file_id;
END
'''))
c.execute(self._sql(
'''
CREATE TRIGGER IF NOT EXISTS
%(db)s.%(file_states)s_delete_files
BEFORE DELETE ON %(db)s.%(file_states)s FOR EACH ROW
BEGIN
DELETE FROM %(nuts)s WHERE file_id == old.file_id;
END
'''))
c.execute(self._sql(
'''
CREATE TRIGGER IF NOT EXISTS %(db)s.%(nuts)s_inc_kind_codes
BEFORE INSERT ON %(nuts)s FOR EACH ROW
BEGIN
INSERT OR IGNORE INTO %(kind_codes_count)s VALUES
(new.kind_codes_id, 0);
UPDATE %(kind_codes_count)s
SET count = count + 1
WHERE new.kind_codes_id
== %(kind_codes_count)s.kind_codes_id;
END
'''))
c.execute(self._sql(
'''
CREATE TRIGGER IF NOT EXISTS %(db)s.%(nuts)s_dec_kind_codes
BEFORE DELETE ON %(nuts)s FOR EACH ROW
BEGIN
UPDATE %(kind_codes_count)s
SET count = count - 1
WHERE old.kind_codes_id
== %(kind_codes_count)s.kind_codes_id;
END
'''))
def _delete(self):
'''Delete database tables associated with this squirrel.'''
for s in '''
DROP TRIGGER %(db)s.%(nuts)s_delete_nuts;
DROP TRIGGER %(db)s.%(nuts)s_delete_nuts2;
DROP TRIGGER %(db)s.%(file_states)s_delete_files;
DROP TRIGGER %(db)s.%(nuts)s_inc_kind_codes;
DROP TRIGGER %(db)s.%(nuts)s_dec_kind_codes;
DROP TABLE %(db)s.%(nuts)s;
DROP TABLE %(db)s.%(kind_codes_count)s;
'''.strip().splitlines():
self._conn.execute(self._sql(s))
Selection._delete(self)
self._conn.commit()
def print_tables(self, table_names=None, stream=None):
if stream is None:
stream = sys.stdout
if isinstance(table_names, str):
table_names = [table_names]
if table_names is None:
table_names = [
'selection_file_states',
'selection_nuts',
'selection_kind_codes_count',
'files', 'nuts', 'kind_codes', 'kind_codes_count']
m = {
'selection_file_states': '%(db)s.%(file_states)s',
'selection_nuts': '%(db)s.%(nuts)s',
'selection_kind_codes_count': '%(db)s.%(kind_codes_count)s',
'files': 'files',
'nuts': 'nuts',
'kind_codes': 'kind_codes',
'kind_codes_count': 'kind_codes_count'}
for table_name in table_names:
self._database.print_table(
m[table_name] % self._names, stream=stream)
def iter_expand_dirs(self, file_paths):
for path in file_paths:
if os.path.isdir(path):
dpaths = sorted(util.select_files([path], show_progress=False))
for dpath in dpaths:
yield dpath
else:
yield path
[docs] def add(self, file_paths, kinds=None, format='detect', check=True):
'''
Add files to the selection.
:param file_paths: iterator yielding paths to files or directories to
be added to the selection. Recurses into directories given. If
given a `str`, it is treated as a single path to be added.
:param kinds: if given, allowed content types to be made available
through the squirrel selection.
:type kinds: ``list`` of ``str``
:param format: file format identifier or ``'detect'`` for
auto-detection
:type format: str
Complexity: O(log N)
'''
if isinstance(kinds, str):
kinds = (kinds,)
if isinstance(file_paths, str):
file_paths = [file_paths]
kind_mask = model.to_kind_mask(kinds)
Selection.add(
self, self.iter_expand_dirs(file_paths), kind_mask, format)
self._load(check)
self._update_nuts()
def reload(self):
self._set_file_states_force_check()
self._load(check=True)
self._update_nuts()
[docs] def add_virtual(self, nuts, virtual_file_paths=None):
'''
Add content which is not backed by files.
Stores to the main database and the selection.
If ``virtual_file_paths`` are given, this prevents creating a temp list
of the nuts while aggregating the file paths for the selection.
'''
if isinstance(virtual_file_paths, str):
virtual_file_paths = [virtual_file_paths]
if virtual_file_paths is None:
nuts_add = []
virtual_file_paths = set()
for nut in nuts:
virtual_file_paths.add(nut.file_path)
nuts_add.append(nut)
else:
nuts_add = nuts
Selection.add(self, virtual_file_paths)
self.get_database().dig(nuts_add)
self._update_nuts()
def _load(self, check):
for _ in io.iload(
self,
content=[],
skip_unchanged=True,
check=check):
pass
def _update_nuts(self):
self._conn.execute(self._sql(
'''
INSERT INTO %(db)s.%(nuts)s
SELECT NULL,
nuts.file_id, nuts.file_segment, nuts.file_element,
nuts.kind_id, nuts.kind_codes_id,
nuts.tmin_seconds, nuts.tmin_offset,
nuts.tmax_seconds, nuts.tmax_offset,
nuts.deltat, nuts.kscale
FROM %(db)s.%(file_states)s
INNER JOIN nuts
ON %(db)s.%(file_states)s.file_id == nuts.file_id
INNER JOIN kind_codes
ON nuts.kind_codes_id ==
kind_codes.kind_codes_id
WHERE %(db)s.%(file_states)s.file_state != 2
AND (((1 << kind_codes.kind_id)
& %(db)s.%(file_states)s.kind_mask) != 0)
'''))
self._set_file_states_known()
[docs] def add_source(self, source):
'''
Add remote resource.
'''
self._sources.append(source)
source.setup(self)
[docs] def add_fdsn(self, *args, **kwargs):
'''
Add FDSN site for transparent remote data access.
'''
self.add_source(fdsn.FDSNSource(*args, **kwargs))
[docs] def add_catalog(self, *args, **kwargs):
'''
Add online catalog for transparent event data access.
'''
self.add_source(catalog.CatalogSource(*args, **kwargs))
def get_selection_args(
self, obj=None, tmin=None, tmax=None, time=None, codes=None):
if time is not None:
tmin = time
tmax = time
if obj is not None:
tmin = tmin if tmin is not None else obj.tmin
tmax = tmax if tmax is not None else obj.tmax
codes = codes if codes is not None else obj.codes
tmin_avail, tmax_avail = self.get_time_span()
if tmin is None:
tmin = tmin_avail
if tmax is None:
tmax = tmax_avail
if isinstance(codes, str):
codes = tuple(codes.split('.'))
return tmin, tmax, codes
[docs] def iter_nuts(self, kind=None, tmin=None, tmax=None, codes=None):
'''
Iterate content intersecting with the half open interval [tmin, tmax[.
:param kind: ``str``, content kind to extract or sequence of such
:param tmin: timestamp, start time of interval
:param tmax: timestamp, end time of interval
:param codes: tuple of str, pattern of content codes to be matched
Complexity: O(log N)
Yields :py:class:`pyrocko.squirrel.Nut` objects representing the
intersecting content.
'''
if not isinstance(kind, str):
if kind is None:
kind = model.g_content_kinds
for kind_ in kind:
for nut in self.iter_nuts(kind_, tmin, tmax, codes):
yield nut
return
extra_cond = []
tmin_cond = []
args = []
if tmin is not None or tmax is not None:
assert kind is not None
if tmin is None:
tmin = self.get_time_span()[0]
if tmax is None:
tmax = self.get_time_span()[1]
tmin_seconds, tmin_offset = model.tsplit(tmin)
tmax_seconds, tmax_offset = model.tsplit(tmax)
tscale_edges = model.tscale_edges
for kscale in range(tscale_edges.size + 1):
if kscale != tscale_edges.size:
tscale = int(tscale_edges[kscale])
tmin_cond.append('''
(%(db)s.%(nuts)s.kind_id = ?
AND %(db)s.%(nuts)s.kscale == ?
AND %(db)s.%(nuts)s.tmin_seconds BETWEEN ? AND ?)
''')
args.extend(
(to_kind_id(kind), kscale,
tmin_seconds - tscale - 1, tmax_seconds + 1))
else:
tmin_cond.append('''
(%(db)s.%(nuts)s.kind_id == ?
AND %(db)s.%(nuts)s.kscale == ?
AND %(db)s.%(nuts)s.tmin_seconds <= ?)
''')
args.extend(
(to_kind_id(kind), kscale, tmax_seconds + 1))
extra_cond.append('%(db)s.%(nuts)s.tmax_seconds >= ?')
args.append(tmin_seconds)
elif kind is not None:
extra_cond.append('%(db)s.%(nuts)s.kind_id == ?')
args.append(to_kind_id(kind))
if codes is not None:
pats = codes_patterns_for_kind(kind, codes)
extra_cond.append(
' ( %s ) ' % ' OR '.join(
('kind_codes.codes GLOB ?',) * len(pats)))
args.extend(separator.join(pat) for pat in pats)
sql = ('''
SELECT
files.path,
files.format,
files.mtime,
files.size,
%(db)s.%(nuts)s.file_segment,
%(db)s.%(nuts)s.file_element,
kind_codes.kind_id,
kind_codes.codes,
%(db)s.%(nuts)s.tmin_seconds,
%(db)s.%(nuts)s.tmin_offset,
%(db)s.%(nuts)s.tmax_seconds,
%(db)s.%(nuts)s.tmax_offset,
%(db)s.%(nuts)s.deltat
FROM files
INNER JOIN %(db)s.%(nuts)s
ON files.file_id == %(db)s.%(nuts)s.file_id
INNER JOIN kind_codes
ON %(db)s.%(nuts)s.kind_codes_id == kind_codes.kind_codes_id
''')
cond = []
if tmin_cond:
cond.append(' ( ' + ' OR '.join(tmin_cond) + ' ) ')
cond.extend(extra_cond)
if cond:
sql += ''' WHERE ''' + ' AND '.join(cond)
sql = self._sql(sql)
for row in self._conn.execute(sql, args):
nut = model.Nut(values_nocheck=row)
if tmin is None or (nut.tmin < tmax and tmin < nut.tmax):
yield nut
def get_nuts(self, *args, **kwargs):
return list(self.iter_nuts(*args, **kwargs))
def _iter_nuts_naiv(self, kind, tmin=None, tmax=None):
tmin_seconds, tmin_offset = model.tsplit(tmin)
tmax_seconds, tmax_offset = model.tsplit(tmax)
tmin_avail, tmax_avail = self.get_time_span()
if tmin is None:
tmin = tmin_avail
tmax = tmax_avail
sql = self._sql('''
SELECT
files.path,
files.format,
files.mtime,
files.size,
%(db)s.%(nuts)s.file_segment,
%(db)s.%(nuts)s.file_element,
kind_codes.kind_id,
kind_codes.codes,
%(db)s.%(nuts)s.tmin_seconds,
%(db)s.%(nuts)s.tmin_offset,
%(db)s.%(nuts)s.tmax_seconds,
%(db)s.%(nuts)s.tmax_offset,
%(db)s.%(nuts)s.deltat
FROM files
INNER JOIN %(db)s.%(nuts)s
ON files.file_id == %(db)s.%(nuts)s.file_id
INNER JOIN kind_codes
ON %(db)s.%(nuts)s.kind_codes_id == kind_codes.kind_codes_id
WHERE %(db)s.%(nuts)s.kind_id = ?
AND %(db)s.%(nuts)s.tmax_seconds >= ?
AND %(db)s.%(nuts)s.tmin_seconds <= ?
''')
for row in self._conn.execute(
sql, (to_kind_id(kind), tmin_seconds, tmax_seconds+1)):
nut = model.Nut(values_nocheck=row)
if nut.tmin < tmax and tmin < nut.tmax:
yield nut
def split_nuts(
self, kind, tmin=None, tmax=None, codes=None, file_path=None):
tmin_seconds, tmin_offset = model.tsplit(tmin)
tmax_seconds, tmax_offset = model.tsplit(tmax)
tscale_edges = model.tscale_edges
tmin_cond = []
args = []
for kscale in range(tscale_edges.size + 1):
if kscale != tscale_edges.size:
tscale = int(tscale_edges[kscale])
tmin_cond.append('''
(%(db)s.%(nuts)s.kind_id = ?
AND %(db)s.%(nuts)s.kscale == ?
AND %(db)s.%(nuts)s.tmin_seconds BETWEEN ? AND ?)
''')
args.extend(
(to_kind_id(kind), kscale,
tmin_seconds - tscale - 1, tmax_seconds + 1))
else:
tmin_cond.append('''
(%(db)s.%(nuts)s.kind_id == ?
AND %(db)s.%(nuts)s.kscale == ?
AND %(db)s.%(nuts)s.tmin_seconds <= ?)
''')
args.extend(
(to_kind_id(kind), kscale, tmax_seconds + 1))
extra_cond = ['%(db)s.%(nuts)s.tmax_seconds >= ?']
args.append(tmin_seconds)
if codes is not None:
pats = codes_patterns_for_kind(kind, codes)
extra_cond.append(
' ( %s ) ' % ' OR '.join(
('kind_codes.codes GLOB ?',) * len(pats)))
args.extend(separator.join(pat) for pat in pats)
if file_path is not None:
extra_cond.append('files.path == ?')
args.append(file_path)
sql = self._sql('''
SELECT
%(db)s.%(nuts)s.nut_id,
%(db)s.%(nuts)s.tmin_seconds,
%(db)s.%(nuts)s.tmin_offset,
%(db)s.%(nuts)s.tmax_seconds,
%(db)s.%(nuts)s.tmax_offset,
%(db)s.%(nuts)s.deltat
FROM files
INNER JOIN %(db)s.%(nuts)s
ON files.file_id == %(db)s.%(nuts)s.file_id
INNER JOIN kind_codes
ON %(db)s.%(nuts)s.kind_codes_id == kind_codes.kind_codes_id
WHERE ( ''' + ' OR '.join(tmin_cond) + ''' )
AND ''' + ' AND '.join(extra_cond))
insert = []
delete = []
for row in self._conn.execute(sql, args):
nut_id, nut_tmin_seconds, nut_tmin_offset, \
nut_tmax_seconds, nut_tmax_offset, nut_deltat = row
nut_tmin = model.tjoin(
nut_tmin_seconds, nut_tmin_offset, nut_deltat)
nut_tmax = model.tjoin(
nut_tmax_seconds, nut_tmax_offset, nut_deltat)
if nut_tmin < tmax and tmin < nut_tmax:
if nut_tmin < tmin:
insert.append((
nut_tmin_seconds, nut_tmin_offset,
tmin_seconds, tmin_offset,
model.tscale_to_kscale(
tmin_seconds - nut_tmin_seconds),
nut_id))
if tmax < nut_tmax:
insert.append((
tmax_seconds, tmax_offset,
nut_tmax_seconds, nut_tmax_offset,
model.tscale_to_kscale(
nut_tmax_seconds - tmax_seconds),
nut_id))
delete.append((nut_id,))
sql_add = '''
INSERT INTO %(db)s.%(nuts)s (
file_id, file_segment, file_element, kind_id,
kind_codes_id, deltat, tmin_seconds, tmin_offset,
tmax_seconds, tmax_offset, kscale )
SELECT
file_id, file_segment, file_element,
kind_id, kind_codes_id, deltat, ?, ?, ?, ?, ?
FROM %(db)s.%(nuts)s
WHERE nut_id == ?
'''
self._conn.executemany(self._sql(sql_add), insert)
sql_delete = '''DELETE FROM %(db)s.%(nuts)s WHERE nut_id == ?'''
self._conn.executemany(self._sql(sql_delete), delete)
[docs] def get_time_span(self):
'''
Get time interval over all content in selection.
Complexity O(1), independent of number of nuts
:returns: (tmin, tmax)
'''
sql = self._sql('''
SELECT MIN(tmin_seconds + tmin_offset)
FROM %(db)s.%(nuts)s WHERE
tmin_seconds == (SELECT MIN(tmin_seconds) FROM %(db)s.%(nuts)s)
''')
tmin = None
for row in self._conn.execute(sql):
tmin = row[0]
sql = self._sql('''
SELECT MAX(tmax_seconds + tmax_offset)
FROM %(db)s.%(nuts)s WHERE
tmax_seconds == (SELECT MAX(tmax_seconds) FROM %(db)s.%(nuts)s)
''')
tmax = None
for row in self._conn.execute(sql):
tmax = row[0]
return tmin, tmax
[docs] def iter_kinds(self, codes=None):
'''
Iterate over content types available in selection.
:param codes: if given, get kinds only for selected codes identifier
Complexity: O(1), independent of number of nuts
'''
return self._database._iter_kinds(
codes=codes,
kind_codes_count='%(db)s.%(kind_codes_count)s' % self._names)
[docs] def iter_codes(self, kind=None):
'''
Iterate over content identifier code sequences available in selection.
:param kind: if given, get codes only for a given content type
:type kind: ``str``
Complexity: O(1), independent of number of nuts
'''
return self._database._iter_codes(
kind=kind,
kind_codes_count='%(db)s.%(kind_codes_count)s' % self._names)
[docs] def iter_counts(self, kind=None):
'''
Iterate over number of occurrences of any (kind, codes) combination.
:param kind: if given, get counts only for selected content type
Yields tuples ``((kind, codes), count)``
Complexity: O(1), independent of number of nuts
'''
return self._database._iter_counts(
kind=kind,
kind_codes_count='%(db)s.%(kind_codes_count)s' % self._names)
[docs] def get_kinds(self, codes=None):
'''
Get content types available in selection.
:param codes: if given, get kinds only for selected codes identifier
Complexity: O(1), independent of number of nuts
:returns: sorted list of available content types
'''
return sorted(list(self.iter_kinds(codes=codes)))
[docs] def get_codes(self, kind=None):
'''
Get identifier code sequences available in selection.
:param kind: if given, get codes only for selected content type
Complexity: O(1), independent of number of nuts
:returns: sorted list of available codes as tuples of strings
'''
return sorted(list(self.iter_codes(kind=kind)))
[docs] def get_counts(self, kind=None):
'''
Get number of occurrences of any (kind, codes) combination.
:param kind: if given, get codes only for selected content type
Complexity: O(1), independent of number of nuts
:returns: ``dict`` with ``counts[kind][codes] or ``counts[codes]``
if kind is not ``None``
'''
d = {}
for (k, codes), count in self.iter_counts():
if k not in d:
d[k] = {}
d[k][codes] = count
if kind is not None:
return d[kind]
else:
return d
[docs] def update(self, constraint=None, **kwargs):
'''
Update inventory of remote content for a given selection.
This function triggers all attached remote sources, to check for
updates in the metadata. The sources will only submit queries when
their expiration date has passed, or if the selection spans into
previously unseen times or areas.
'''
if constraint is None:
constraint = client.Constraint(**kwargs)
for source in self._sources:
source.update_channel_inventory(self, constraint)
source.update_event_inventory(self, constraint)
def update_waveform_inventory(self, constraint=None, **kwargs):
if constraint is None:
constraint = client.Constraint(**kwargs)
for source in self._sources:
source.update_waveform_inventory(self, constraint)
[docs] def get_nfiles(self):
'''
Get number of files in selection.
'''
sql = self._sql('''SELECT COUNT(*) FROM %(db)s.%(file_states)s''')
for row in self._conn.execute(sql):
return row[0]
[docs] def get_nnuts(self):
'''
Get number of nuts in selection.
'''
sql = self._sql('''SELECT COUNT(*) FROM %(db)s.%(nuts)s''')
for row in self._conn.execute(sql):
return row[0]
[docs] def get_total_size(self):
'''
Get aggregated file size available in selection.
'''
sql = self._sql('''
SELECT SUM(files.size) FROM %(db)s.%(file_states)s
INNER JOIN files
ON %(db)s.%(file_states)s.file_id = files.file_id
''')
for row in self._conn.execute(sql):
return row[0] or 0
return 0
[docs] def get_stats(self):
'''
Get statistics on contents available through this selection.
'''
tmin, tmax = self.get_time_span()
return SquirrelStats(
nfiles=self.get_nfiles(),
nnuts=self.get_nnuts(),
kinds=self.get_kinds(),
codes=self.get_codes(),
total_size=self.get_total_size(),
counts=self.get_counts(),
tmin=tmin,
tmax=tmax)
[docs] def get_content(self, nut, cache='default', accessor='default'):
'''
Get and possibly load full content for a given index entry from file.
Loads the actual content objects (channel, station, waveform, ...) from
file. For efficiency sibling content (all stuff in the same file
segment) will also be loaded as a side effect. The loaded contents are
cached in the squirrel object.
'''
content_cache = self._content_caches[cache]
if not content_cache.has(nut):
for nut_loaded in io.iload(
nut.file_path,
segment=nut.file_segment,
format=nut.file_format,
database=self._database):
content_cache.put(nut_loaded)
try:
return content_cache.get(nut, accessor)
except KeyError:
raise error.NotAvailable(
'Unable to retrieve content: %s, %s, %s, %s' % nut.key)
def advance_accessor(self, accessor, cache=None):
for cache_ in (
self._content_caches.keys() if cache is None else [cache]):
self._content_caches[cache_].advance_accessor(accessor)
def clear_accessor(self, accessor, cache=None):
for cache_ in (
self._content_caches.keys() if cache is None else [cache]):
self._content_caches[cache_].clear_accessor(accessor)
def check_duplicates(self, nuts):
d = defaultdict(list)
for nut in nuts:
d[nut.codes].append(nut)
for codes, group in d.items():
if len(group) > 1:
logger.warn(
'Multiple entries matching codes %s'
% '.'.join(codes.split(separator)))
def get_stations(self, *args, **kwargs):
args = self.get_selection_args(*args, **kwargs)
nuts = sorted(
self.iter_nuts('station', *args), key=lambda nut: nut.dkey)
self.check_duplicates(nuts)
return [self.get_content(nut) for nut in nuts]
def get_channels(self, *args, **kwargs):
args = self.get_selection_args(*args, **kwargs)
nuts = sorted(
self.iter_nuts('channel', *args), key=lambda nut: nut.dkey)
self.check_duplicates(nuts)
return [self.get_content(nut) for nut in nuts]
def get_events(self, *args, **kwargs):
args = self.get_selection_args(*args, **kwargs)
nuts = sorted(
self.iter_nuts('event', *args), key=lambda nut: nut.dkey)
self.check_duplicates(nuts)
return [self.get_content(nut) for nut in nuts]
def _redeem_promises(self, *args):
tmin, tmax, _ = args
# f.draw_span(tmin, tmax)
# f.next()
waveforms = list(self.iter_nuts('waveform', *args))
promises = list(self.iter_nuts('waveform_promise', *args))
# f.draw(waveforms, 'red')
# f.draw(promises, 'gray')
#
# f.next()
codes_to_avail = defaultdict(list)
for nut in waveforms:
codes_to_avail[nut.codes].append((nut.tmin, nut.tmax+nut.deltat))
def tts(x):
if isinstance(x, tuple):
return tuple(tts(e) for e in x)
elif isinstance(x, list):
return list(tts(e) for e in x)
else:
return util.time_to_str(x)
orders = []
for promise in promises:
waveforms_avail = codes_to_avail[promise.codes]
for block_tmin, block_tmax in blocks(
max(tmin, promise.tmin),
min(tmax, promise.tmax),
promise.deltat):
orders.append(
WaveformOrder(
source_id=promise.file_path,
codes=tuple(promise.codes.split(separator)),
tmin=block_tmin,
tmax=block_tmax,
deltat=promise.deltat,
gaps=gaps(waveforms_avail, block_tmin, block_tmax)))
orders_noop, orders = lpick(lambda order: order.gaps, orders)
# f.draw(orders_noop, 'green')
# f.draw(orders, 'blue')
# f.next()
order_keys_noop = set(order_key(order) for order in orders_noop)
if len(order_keys_noop) != 0 or len(orders_noop) != 0:
logger.info(
'Waveform orders already satisified with cached/local data: '
'%i (%i)' % (len(order_keys_noop), len(orders_noop)))
source_ids = []
sources = {}
for source in self._sources:
source_ids.append(source._source_id)
sources[source._source_id] = source
source_priority = dict(
(source_id, i) for (i, source_id) in enumerate(source_ids))
order_groups = defaultdict(list)
for order in orders:
order_groups[order_key(order)].append(order)
for k, order_group in order_groups.items():
order_group.sort(
key=lambda order: source_priority[order.source_id])
if len(order_groups) != 0 or len(orders) != 0:
logger.info(
'Waveform orders standing for download: %i (%i)'
% (len(order_groups), len(orders)))
def release_order_group(order):
del order_groups[order_key(order)]
def split_promise(order):
self.split_nuts(
'waveform_promise',
order.tmin, order.tmax,
codes=order.codes,
file_path=order.source_id)
def noop(order):
pass
def success(order):
# f.draw(order, 'black')
release_order_group(order)
split_promise(order)
for order in orders_noop:
split_promise(order)
while order_groups:
orders_now = []
empty = []
for k, order_group in order_groups.items():
try:
orders_now.append(order_group.pop(0))
except IndexError:
empty.append(k)
for k in empty:
del order_groups[k]
by_source_id = defaultdict(list)
for order in orders_now:
by_source_id[order.source_id].append(order)
# TODO: parallelize this loop
for source_id in by_source_id:
sources[source_id].download_waveforms(
self, by_source_id[source_id],
success=success,
error_permanent=split_promise,
error_temporary=noop)
# f.next()
def get_waveform_nuts(self, *args, **kwargs):
args = self.get_selection_args(*args, **kwargs)
self._redeem_promises(*args)
return sorted(
self.iter_nuts('waveform', *args), key=lambda nut: nut.dkey)
def get_waveforms(self, *args, **kwargs):
nuts = self.get_waveform_nuts(*args, **kwargs)
# self.check_duplicates(nuts)
return [self.get_content(nut, 'waveform') for nut in nuts]
def get_pyrocko_stations(self, *args, **kwargs):
from pyrocko import model as pmodel
by_nsl = defaultdict(lambda: (list(), list()))
for station in self.get_stations(*args, **kwargs):
sargs = station._get_pyrocko_station_args()
nsl = sargs[1:4]
by_nsl[nsl][0].append(sargs)
for channel in self.get_channels(*args, **kwargs):
sargs = channel._get_pyrocko_station_args()
nsl = sargs[1:4]
sargs_list, channels_list = by_nsl[nsl]
sargs_list.append(sargs)
channels_list.append(channel)
pstations = []
nsls = list(by_nsl.keys())
nsls.sort()
for nsl in nsls:
sargs_list, channels_list = by_nsl[nsl]
sargs = util.consistency_merge(sargs_list)
by_c = defaultdict(list)
for ch in channels_list:
by_c[ch.channel].append(ch._get_pyrocko_channel_args())
chas = list(by_c.keys())
chas.sort()
pchannels = []
for cha in chas:
list_of_cargs = by_c[cha]
cargs = util.consistency_merge(list_of_cargs)
pchannels.append(pmodel.Channel(
name=cargs[0],
azimuth=cargs[1],
dip=cargs[2]))
pstations.append(pmodel.Station(
network=sargs[0],
station=sargs[1],
location=sargs[2],
lat=sargs[3],
lon=sargs[4],
elevation=sargs[5],
depth=sargs[6] or 0.0,
channels=pchannels))
return pstations
def get_pyrocko_events(self, *args, **kwargs):
from pyrocko import model as pmodel # noqa
return self.get_events(*args, **kwargs)
@property
def pile(self):
if self._pile is None:
self._pile = pile.Pile(self)
return self._pile
def snuffle(self):
self.pile.snuffle()
def gather_codes_keys(self, kind, gather, selector):
return set(
gather(codes)
for codes in self.iter_codes(kind)
if selector is None or selector(codes))
def __str__(self):
return str(self.get_stats())
[docs]class DatabaseStats(Object):
'''
Container to hold statistics about contents cached in meta-information db.
'''
nfiles = Int.T(
help='number of files in database')
nnuts = Int.T(
help='number of index nuts in database')
codes = List.T(
Tuple.T(content_t=String.T()),
help='available code sequences in database, e.g. '
'(agency, network, station, location) for stations nuts.')
kinds = List.T(
String.T(),
help='available content types in database')
total_size = Int.T(
help='aggregated file size of files referenced in database')
counts = Dict.T(
String.T(), Dict.T(Tuple.T(content_t=String.T()), Int.T()),
help='breakdown of how many nuts of any content type and code '
'sequence are available in database, ``counts[kind][codes]``')
def __str__(self):
kind_counts = dict(
(kind, sum(self.counts[kind].values())) for kind in self.kinds)
codes = ['.'.join(x) for x in self.codes]
if len(codes) > 20:
codes = codes[:10] \
+ ['[%i more]' % (len(codes) - 20)] \
+ codes[-10:]
scodes = '\n' + util.ewrap(codes, indent=' ') if codes else '<none>'
s = '''
available codes: %s
number of files: %i
total size of known files: %s
number of index nuts: %i
available nut kinds: %s''' % (
scodes,
self.nfiles,
util.human_bytesize(self.total_size),
self.nnuts,
', '.join('%s: %i' % (
kind, kind_counts[kind]) for kind in sorted(self.kinds)))
return s
g_databases = {}
def get_database(path=None):
path = os.path.abspath(path)
if path not in g_databases:
g_databases[path] = Database(path)
return g_databases[path]
[docs]class Database(object):
'''
Shared meta-information database used by squirrel.
'''
def __init__(self, database_path=':memory:', log_statements=False):
self._database_path = database_path
try:
util.ensuredirs(database_path)
logger.debug('Opening connection to database: %s' % database_path)
self._conn = sqlite3.connect(database_path)
except sqlite3.OperationalError:
raise error.SquirrelError(
'Cannot connect to database: %s' % database_path)
self._conn.text_factory = str
self._tables = {}
self._initialize_db()
self._need_commit = False
if log_statements:
self._conn.set_trace_callback(self._log_statement)
def _log_statement(self, statement):
logger.debug(statement)
def get_connection(self):
return self._conn
def _register_table(self, s):
m = re.search(r'(\S+)\s*\(([^)]+)\)', s)
table_name = m.group(1)
dtypes = m.group(2)
table_header = []
for dele in dtypes.split(','):
table_header.append(dele.split()[:2])
self._tables[table_name] = table_header
return s
def _initialize_db(self):
c = self._conn.cursor()
c.execute(
'''PRAGMA recursive_triggers = true''')
c.execute(self._register_table(
'''
CREATE TABLE IF NOT EXISTS files (
file_id integer PRIMARY KEY,
path text,
format text,
mtime float,
size integer)
'''))
c.execute(
'''
CREATE UNIQUE INDEX IF NOT EXISTS index_files_file_path
ON files (path)
''')
c.execute(self._register_table(
'''
CREATE TABLE IF NOT EXISTS nuts (
nut_id integer PRIMARY KEY AUTOINCREMENT,
file_id integer,
file_segment integer,
file_element integer,
kind_id integer,
kind_codes_id integer,
tmin_seconds integer,
tmin_offset float,
tmax_seconds integer,
tmax_offset float,
deltat float,
kscale integer)
'''))
c.execute(
'''
CREATE UNIQUE INDEX IF NOT EXISTS index_nuts_file_element
ON nuts (file_id, file_segment, file_element)
''')
c.execute(self._register_table(
'''
CREATE TABLE IF NOT EXISTS kind_codes (
kind_codes_id integer PRIMARY KEY,
kind_id integer,
codes text)
'''))
c.execute(
'''
CREATE UNIQUE INDEX IF NOT EXISTS index_kind_codes
ON kind_codes (kind_id, codes)
''')
c.execute(self._register_table(
'''
CREATE TABLE IF NOT EXISTS kind_codes_count (
kind_codes_id integer PRIMARY KEY,
count integer)
'''))
c.execute(
'''
CREATE INDEX IF NOT EXISTS index_nuts_file_id
ON nuts (file_id)
''')
c.execute(
'''
CREATE TRIGGER IF NOT EXISTS delete_nuts_on_delete_file
BEFORE DELETE ON files FOR EACH ROW
BEGIN
DELETE FROM nuts where file_id == old.file_id;
END
''')
c.execute(
'''
CREATE TRIGGER IF NOT EXISTS delete_nuts_on_update_file
BEFORE UPDATE ON files FOR EACH ROW
BEGIN
DELETE FROM nuts where file_id == old.file_id;
END
''')
c.execute(
'''
CREATE TRIGGER IF NOT EXISTS increment_kind_codes
BEFORE INSERT ON nuts FOR EACH ROW
BEGIN
INSERT OR IGNORE INTO kind_codes_count
VALUES (new.kind_codes_id, 0);
UPDATE kind_codes_count
SET count = count + 1
WHERE new.kind_codes_id == kind_codes_id;
END
''')
c.execute(
'''
CREATE TRIGGER IF NOT EXISTS decrement_kind_codes
BEFORE DELETE ON nuts FOR EACH ROW
BEGIN
UPDATE kind_codes_count
SET count = count - 1
WHERE old.kind_codes_id == kind_codes_id;
END
''')
self._conn.commit()
c.close()
[docs] def dig(self, nuts):
'''
Store or update content meta-information.
Given ``nuts`` are assumed to represent an up-to-date and complete
inventory of a set of files. Any old information about these files is
first pruned from the database (via database triggers). If such content
is part of a live selection, it is also removed there. Then the new
content meta-information is inserted into the main database. The
content is not automatically inserted into the live selections again.
It is in the responsibility of the selection object to perform this
step.
'''
nuts = list(nuts)
if not nuts:
return
c = self._conn.cursor()
files = set()
kind_codes = set()
for nut in nuts:
files.add((
nut.file_path,
nut.file_format,
nut.file_mtime,
nut.file_size))
kind_codes.add((nut.kind_id, nut.codes))
c.executemany(
'INSERT OR IGNORE INTO files VALUES (NULL,?,?,?,?)', files)
c.executemany(
'''UPDATE files SET
format = ?, mtime = ?, size = ?
WHERE path == ?
''',
((x[1], x[2], x[3], x[0]) for x in files))
c.executemany(
'INSERT OR IGNORE INTO kind_codes VALUES (NULL,?,?)', kind_codes)
c.executemany(
'''
INSERT INTO nuts VALUES
(NULL, (
SELECT file_id FROM files
WHERE path == ?
),?,?,?,
(
SELECT kind_codes_id FROM kind_codes
WHERE kind_id == ? AND codes == ?
), ?,?,?,?,?,?)
''',
((nut.file_path, nut.file_segment, nut.file_element,
nut.kind_id,
nut.kind_id, nut.codes,
nut.tmin_seconds, nut.tmin_offset,
nut.tmax_seconds, nut.tmax_offset,
nut.deltat, nut.kscale) for nut in nuts))
self._need_commit = True
c.close()
def undig(self, path):
sql = '''
SELECT
files.path,
files.format,
files.mtime,
files.size,
nuts.file_segment,
nuts.file_element,
kind_codes.kind_id,
kind_codes.codes,
nuts.tmin_seconds,
nuts.tmin_offset,
nuts.tmax_seconds,
nuts.tmax_offset,
nuts.deltat
FROM files
INNER JOIN nuts ON files.file_id = nuts.file_id
INNER JOIN kind_codes
ON nuts.kind_codes_id == kind_codes.kind_codes_id
WHERE path == ?
'''
return [model.Nut(values_nocheck=row)
for row in self._conn.execute(sql, (path,))]
def undig_all(self):
sql = '''
SELECT
files.path,
files.format,
files.mtime,
files.size,
nuts.file_segment,
nuts.file_element,
kind_codes.kind_id,
kind_codes.codes,
nuts.tmin_seconds,
nuts.tmin_offset,
nuts.tmax_seconds,
nuts.tmax_offset,
nuts.deltat
FROM files
INNER JOIN nuts ON files.file_id == nuts.file_id
INNER JOIN kind_codes
ON nuts.kind_codes_id == kind_codes.kind_codes_id
'''
nuts = []
path = None
for values in self._conn.execute(sql):
if path is not None and values[0] != path:
yield path, nuts
nuts = []
if values[1] is not None:
nuts.append(model.Nut(values_nocheck=values))
path = values[0]
if path is not None:
yield path, nuts
def undig_many(self, file_paths):
selection = self.new_selection(file_paths)
for (_, path), nuts in selection.undig_grouped():
yield path, nuts
del selection
def new_selection(self, file_paths=None):
selection = Selection(self)
if file_paths:
selection.add(file_paths)
return selection
def commit(self):
if self._need_commit:
self._conn.commit()
self._need_commit = False
def undig_content(self, nut):
return None
[docs] def remove(self, path):
'''
Prune content meta-inforamation about a given file.
All content pieces belonging to file ``path`` are removed from the
main database and any attached live selections (via database triggers).
'''
self._conn.execute(
'DELETE FROM files WHERE path = ?', (path,))
[docs] def reset(self, path):
'''
Prune information associated with a given file, but keep the file path.
This method is called when reading a file failed. File attributes,
format, size and modification time are set to NULL. File content
meta-information is removed from the database and any attached live
selections (via database triggers).
'''
self._conn.execute(
'''
UPDATE files SET
format = NULL,
mtime = NULL,
size = NULL
WHERE path = ?
''', (path,))
def _iter_counts(self, kind=None, kind_codes_count='kind_codes_count'):
args = []
sel = ''
if kind is not None:
sel = 'AND kind_codes.kind_id == ?'
args.append(to_kind_id(kind))
sql = ('''
SELECT
kind_codes.kind_id,
kind_codes.codes,
%(kind_codes_count)s.count
FROM %(kind_codes_count)s
INNER JOIN kind_codes
ON %(kind_codes_count)s.kind_codes_id
== kind_codes.kind_codes_id
WHERE %(kind_codes_count)s.count > 0
''' + sel + '''
''') % {'kind_codes_count': kind_codes_count}
for kind_id, codes, count in self._conn.execute(sql, args):
yield (to_kind(kind_id), tuple(codes.split(separator))), count
def _iter_codes(self, kind=None, kind_codes_count='kind_codes_count'):
args = []
sel = ''
if kind is not None:
assert isinstance(kind, str)
sel = 'AND kind_codes.kind_id == ?'
args.append(to_kind_id(kind))
sql = ('''
SELECT DISTINCT kind_codes.codes FROM %(kind_codes_count)s
INNER JOIN kind_codes
ON %(kind_codes_count)s.kind_codes_id
== kind_codes.kind_codes_id
WHERE %(kind_codes_count)s.count > 0
''' + sel + '''
ORDER BY kind_codes.codes
''') % {'kind_codes_count': kind_codes_count}
for row in self._conn.execute(sql, args):
yield tuple(row[0].split(separator))
def _iter_kinds(self, codes=None, kind_codes_count='kind_codes_count'):
args = []
sel = ''
if codes is not None:
assert isinstance(codes, tuple)
sel = 'AND kind_codes.codes == ?'
args.append(separator.join(codes))
sql = ('''
SELECT DISTINCT kind_codes.kind_id FROM %(kind_codes_count)s
INNER JOIN kind_codes
ON %(kind_codes_count)s.kind_codes_id
== kind_codes.kind_codes_id
WHERE %(kind_codes_count)s.count > 0
''' + sel + '''
ORDER BY kind_codes.kind_id
''') % {'kind_codes_count': kind_codes_count}
for row in self._conn.execute(sql, args):
yield to_kind(row[0])
def iter_kinds(self, codes=None):
return self._iter_kinds(codes=codes)
def iter_codes(self, kind=None):
return self._iter_codes(kind=kind)
def iter_counts(self, kind=None):
return self._iter_counts(kind=kind)
def get_kinds(self, codes=None):
return list(self.iter_kinds(codes=codes))
def get_codes(self, kind=None):
return list(self.iter_codes(kind=kind))
def get_counts(self, kind=None):
d = {}
for (k, codes), count in self.iter_counts():
if k not in d:
d[k] = {}
d[k][codes] = count
if kind is not None:
return d[kind]
else:
return d
def get_nfiles(self):
sql = '''SELECT COUNT(*) FROM files'''
for row in self._conn.execute(sql):
return row[0]
def get_nnuts(self):
sql = '''SELECT COUNT(*) FROM nuts'''
for row in self._conn.execute(sql):
return row[0]
def get_total_size(self):
sql = '''
SELECT SUM(files.size) FROM files
'''
for row in self._conn.execute(sql):
return row[0] or 0
return 0
def get_stats(self):
return DatabaseStats(
nfiles=self.get_nfiles(),
nnuts=self.get_nnuts(),
kinds=self.get_kinds(),
codes=self.get_codes(),
counts=self.get_counts(),
total_size=self.get_total_size())
def __str__(self):
return str(self.get_stats())
def print_tables(self, stream=None):
for table in [
'files',
'nuts',
'kind_codes',
'kind_codes_count']:
self.print_table(table, stream=stream)
def print_table(self, name, stream=None):
if stream is None:
stream = sys.stdout
class hstr(str):
def __repr__(self):
return self
w = stream.write
w('\n')
w('\n')
w(name)
w('\n')
sql = 'SELECT * FROM %s' % name
tab = []
if name in self._tables:
headers = self._tables[name]
tab.append([None for _ in headers])
tab.append([hstr(x[0]) for x in headers])
tab.append([hstr(x[1]) for x in headers])
tab.append([None for _ in headers])
for row in self._conn.execute(sql):
tab.append([x for x in row])
widths = [
max((len(repr(x)) if x is not None else 0) for x in col)
for col in zip(*tab)]
for row in tab:
w(' '.join(
(repr(x).ljust(wid) if x is not None else ''.ljust(wid, '-'))
for (x, wid) in zip(row, widths)))
w('\n')
w('\n')
__all__ = [
'Selection',
'Squirrel',
'SquirrelStats',
'Database',
'DatabaseStats',
]
