Browse Source

Merge branch 'timestamp-integers'

tags/nilmdb-1.4.0
Jim Paris 11 years ago
parent
commit
759466de4a
27 changed files with 15124 additions and 14960 deletions
  1. +49
    -1
      docs/design.md
  2. +11
    -14
      nilmdb/client/client.py
  3. +1
    -1
      nilmdb/cmdline/cmdline.py
  4. +2
    -2
      nilmdb/cmdline/extract.py
  5. +3
    -3
      nilmdb/cmdline/insert.py
  6. +2
    -2
      nilmdb/cmdline/intervals.py
  7. +5
    -4
      nilmdb/cmdline/list.py
  8. +12
    -20
      nilmdb/server/bulkdata.py
  9. +20
    -15
      nilmdb/server/interval.pyx
  10. +4
    -1
      nilmdb/server/layout.pyx
  11. +3
    -3
      nilmdb/server/nilmdb.py
  12. +0
    -1
      nilmdb/server/pyrocket.py
  13. +37
    -22
      nilmdb/server/rocket.c
  14. +9
    -8
      nilmdb/server/server.py
  15. +96
    -24
      nilmdb/utils/time.py
  16. +10
    -8
      nilmdb/utils/timestamper.py
  17. +120
    -120
      tests/data/extract-1
  18. +119
    -119
      tests/data/extract-2
  19. +1
    -1
      tests/data/extract-3
  20. +2
    -2
      tests/data/extract-4
  21. +122
    -122
      tests/data/extract-7
  22. +11
    -11
      tests/data/prep-20120323T1004-badtimes
  23. +14400
    -14400
      tests/data/prep-20120323T1004-timestamped
  24. +54
    -33
      tests/test_client.py
  25. +14
    -5
      tests/test_cmdline.py
  26. +10
    -10
      tests/test_interval.py
  27. +7
    -8
      tests/test_timestamper.py

+ 49
- 1
docs/design.md View File

@@ -140,7 +140,7 @@ Speed

- Next slowdown target is nilmdb.layout.Parser.parse().
- Rewrote parsers using cython and sscanf
- Stats (rev 10831), with _add_interval disabled
- Stats (rev 10831), with `_add_interval` disabled

layout.pyx.Parser.parse:128 6303 sec, 262k calls
layout.pyx.parse:63 13913 sec, 5.1g calls
@@ -328,3 +328,51 @@ Current places where we use lines:
- Finished. Just a single insert() that takes any length string and
does very little processing until it's time to send it to the
server.

Timestamps
----------

Timestamps are currently double-precision floats (64 bit). Since the
mantissa is 53-bit, this can only represent about 15-17 significant
figures, and microsecond Unix timestamps like 1222333444.000111 are
already 16 significant figures. Rounding is therefore an issue;
it's hard to sure that converting from ASCII, then back to ASCII,
will always give the same result.

Also, if the client provides a floating point value like 1.9999999999,
we need to be careful that we don't store it as 1.9999999999 but later
print it as 2.000000, because then round-trips change the data.

Possible solutions:

- When the client provides a floating point value to the server,
always round to the 6th decimal digit before verifying & storing.
Good for compatibility and simplicity. But still might have rounding
issues, and clients will also need to round when doing their own
verification. Having every piece of code need to know which digit
to round at is not ideal.

- Always store int64 timestamps on the server, representing
microseconds since epoch. int64 timestamps are used in all HTTP
parameters, in insert/extract ASCII strings, client API, commandline
raw timestamps, etc. Pretty big change.

This is what we'll go with...

- Client programs that interpret the timestamps as doubles instead
of ints will remain accurate until 2^53 microseconds, or year
2255.

- On insert, maybe it's OK to send floating point microsecond values
(1234567890123456.0), just to cope with clients that want to print
everything as a double. Server could try parsing as int64, and if
that fails, parse as double and truncate to int64. However, this
wouldn't catch imprecise inputs like "1.23456789012e+15". But
maybe that can just be ignored; it's likely to cause a
non-monotonic error at the client.

- Timestamps like 1234567890.123456 never show up anywhere, except
for interfacing to datetime_tz etc. Command line "raw timestamps"
are always printed as int64 values, and a new format
"@1234567890123456" is added to the parser for specifying them
exactly.

+ 11
- 14
nilmdb/client/client.py View File

@@ -10,11 +10,11 @@ import time
import simplejson as json
import contextlib

from nilmdb.utils.time import float_time_to_string
from nilmdb.utils.time import timestamp_to_string, string_to_timestamp

def extract_timestamp(line):
"""Extract just the timestamp from a line of data text"""
return float(line.split()[0])
return string_to_timestamp(line.split()[0])

class Client(object):
"""Main client interface to the Nilm database."""
@@ -113,9 +113,9 @@ class Client(object):
"path": path
}
if start is not None:
params["start"] = float_time_to_string(start)
params["start"] = timestamp_to_string(start)
if end is not None:
params["end"] = float_time_to_string(end)
params["end"] = timestamp_to_string(end)
return self.http.post("stream/remove", params)

@contextlib.contextmanager
@@ -166,9 +166,9 @@ class Client(object):
if diffpath is not None:
params["diffpath"] = diffpath
if start is not None:
params["start"] = float_time_to_string(start)
params["start"] = timestamp_to_string(start)
if end is not None:
params["end"] = float_time_to_string(end)
params["end"] = timestamp_to_string(end)
return self.http.get_gen("stream/intervals", params)

def stream_extract(self, path, start = None, end = None, count = False):
@@ -184,9 +184,9 @@ class Client(object):
"path": path,
}
if start is not None:
params["start"] = float_time_to_string(start)
params["start"] = timestamp_to_string(start)
if end is not None:
params["end"] = float_time_to_string(end)
params["end"] = timestamp_to_string(end)
if count:
params["count"] = 1
return self.http.get_gen("stream/extract", params)
@@ -238,9 +238,6 @@ class StreamInserter(object):
_max_data = 2 * 1024 * 1024
_max_data_after_send = 64 * 1024

# Delta to add to the final timestamp, if "end" wasn't given
_end_epsilon = 1e-6

def __init__(self, http, path, start = None, end = None):
"""'http' is the httpclient object. 'path' is the database
path to insert to. 'start' and 'end' are used for the first
@@ -364,7 +361,7 @@ class StreamInserter(object):
if end_ts is None:
(spos, epos) = self._get_last_noncomment(block)
end_ts = extract_timestamp(block[spos:epos])
end_ts += self._end_epsilon
end_ts += nilmdb.utils.time.epsilon
except (ValueError, IndexError):
pass # no timestamp is OK, if we have no data
self._block_data = []
@@ -411,8 +408,8 @@ class StreamInserter(object):

# Send it
params = { "path": self._path,
"start": float_time_to_string(start_ts),
"end": float_time_to_string(end_ts) }
"start": timestamp_to_string(start_ts),
"end": timestamp_to_string(end_ts) }
self.last_response = self._http.put("stream/insert", block, params)

return

+ 1
- 1
nilmdb/cmdline/cmdline.py View File

@@ -88,7 +88,7 @@ class Cmdline(object):
def arg_time(self, toparse):
"""Parse a time string argument"""
try:
return nilmdb.utils.time.parse_time(toparse).totimestamp()
return nilmdb.utils.time.parse_time(toparse)
except ValueError as e:
raise argparse.ArgumentTypeError(sprintf("%s \"%s\"",
str(e), toparse))


+ 2
- 2
nilmdb/cmdline/extract.py View File

@@ -47,9 +47,9 @@ def cmd_extract(self):
layout = streams[0][1]

if self.args.timestamp_raw:
time_string = nilmdb.utils.time.float_time_to_string
time_string = nilmdb.utils.time.timestamp_to_string
else:
time_string = nilmdb.utils.time.format_time
time_string = nilmdb.utils.time.timestamp_to_human

if self.args.annotate:
printf("# path: %s\n", self.args.path)


+ 3
- 3
nilmdb/cmdline/insert.py View File

@@ -96,7 +96,7 @@ def cmd_insert(self):

if arg.start is None:
try:
arg.start = nilmdb.utils.time.parse_time(filename).totimestamp()
arg.start = nilmdb.utils.time.parse_time(filename)
except ValueError:
self.die("error extracting start time from filename '%s'",
filename)
@@ -110,10 +110,10 @@ def cmd_insert(self):
if not arg.quiet:
printf(" Input file: %s\n", filename)
printf(" Start time: %s\n",
nilmdb.utils.time.format_time(arg.start))
nilmdb.utils.time.timestamp_to_human(arg.start))
if arg.end:
printf(" End time: %s\n",
nilmdb.utils.time.format_time(arg.end))
nilmdb.utils.time.timestamp_to_human(arg.end))
if arg.timestamp:
printf("Timestamper: %s\n", str(data))



+ 2
- 2
nilmdb/cmdline/intervals.py View File

@@ -53,9 +53,9 @@ def cmd_intervals_verify(self):
def cmd_intervals(self):
"""List intervals in a stream"""
if self.args.timestamp_raw:
time_string = nilmdb.utils.time.float_time_to_string
time_string = nilmdb.utils.time.timestamp_to_string
else:
time_string = nilmdb.utils.time.format_time
time_string = nilmdb.utils.time.timestamp_to_human

try:
for (start, end) in self.client.stream_intervals(


+ 5
- 4
nilmdb/cmdline/list.py View File

@@ -76,12 +76,12 @@ def cmd_list(self):
streams = self.client.stream_list(extended = True)

if self.args.timestamp_raw:
time_string = nilmdb.utils.time.float_time_to_string
time_string = nilmdb.utils.time.timestamp_to_string
else:
time_string = nilmdb.utils.time.format_time
time_string = nilmdb.utils.time.timestamp_to_human

for stream in streams:
(path, layout, int_min, int_max, rows, seconds) = stream[:6]
(path, layout, int_min, int_max, rows, time) = stream[:6]
if not (fnmatch.fnmatch(path, self.args.path) and
fnmatch.fnmatch(layout, self.args.layout)):
continue
@@ -95,7 +95,8 @@ def cmd_list(self):
printf(" interval extents: %s -> %s\n",
time_string(int_min), time_string(int_max))
printf(" total data: %d rows, %.6f seconds\n",
rows or 0, seconds or 0);
rows or 0,
nilmdb.utils.time.timestamp_to_seconds(time or 0))

if self.args.detail:
printed = False


+ 12
- 20
nilmdb/server/bulkdata.py View File

@@ -5,7 +5,7 @@
from __future__ import absolute_import
from __future__ import division
from nilmdb.utils.printf import *
from nilmdb.utils.time import float_time_to_string as ftts
from nilmdb.utils.time import timestamp_to_string as timestamp_to_string
import nilmdb.utils

import os
@@ -260,7 +260,7 @@ class Table(object):
fmt = { "rows_per_file": rows_per_file,
"files_per_dir": files_per_dir,
"layout": layout,
"version": 2 }
"version": 3 }
with open(os.path.join(root, "_format"), "wb") as f:
pickle.dump(fmt, f, 2)

@@ -273,21 +273,11 @@ class Table(object):
with open(os.path.join(self.root, "_format"), "rb") as f:
fmt = pickle.load(f)

if fmt["version"] == 1: # pragma: no cover
# We can handle this old version by converting from
# struct_fmt back to layout name.
compat = { "<dHHHHHH": "uint16_6",
"<dHHHHHHHHH": "uint16_9",
"<dffffffff": "float32_8" }
if fmt["struct_fmt"] in compat:
fmt["version"] = 2
fmt["layout"] = compat[fmt["struct_fmt"]]
else:
raise NotImplementedError("old version 1 data with format "
+ fmt["struct_fmt"] + " is no good")
elif fmt["version"] != 2: # pragma: no cover (just future proofing)
raise NotImplementedError("version " + str(fmt["version"]) +
" bulk data store not supported")
if fmt["version"] != 3: # pragma: no cover
# Old versions used floating point timestamps, which aren't
# valid anymore.
raise NotImplementedError("old version " + str(fmt["version"]) +
" bulk data store is not supported")

self.rows_per_file = fmt["rows_per_file"]
self.files_per_dir = fmt["files_per_dir"]
@@ -431,7 +421,7 @@ class Table(object):
the table is reverted back to its original state by truncating
or deleting files as necessary."""
data_offset = 0
last_timestamp = -1e12
last_timestamp = nilmdb.utils.time.min_timestamp
tot_rows = self.nrows
count = 0
linenum = 0
@@ -462,10 +452,12 @@ class Table(object):
elif errtype == rocket.ERR_OUT_OF_INTERVAL:
if obj < start:
err = sprintf("Data timestamp %s < start time %s",
ftts(obj), ftts(start))
timestamp_to_string(obj),
timestamp_to_string(start))
else:
err = sprintf("Data timestamp %s >= end time %s",
ftts(obj), ftts(end))
timestamp_to_string(obj),
timestamp_to_string(end))
else:
err = str(obj)
raise ValueError("error parsing input data: " +


+ 20
- 15
nilmdb/server/interval.pyx View File

@@ -19,13 +19,16 @@ Intervals are half-open, ie. they include data points with timestamps
# Fourth version is an optimized rb-tree that stores interval starts
# and ends directly in the tree, like bxinterval did.

from ..utils.time import float_time_to_string as ftts
from ..utils.time import min_timestamp as nilmdb_min_timestamp
from ..utils.time import max_timestamp as nilmdb_max_timestamp
from ..utils.time import timestamp_to_string
from ..utils.iterator import imerge
import itertools

cimport rbtree
cdef extern from "stdint.h":
ctypedef unsigned long long uint64_t
from libc.stdint cimport uint64_t, int64_t

ctypedef int64_t timestamp_t

class IntervalError(Exception):
"""Error due to interval overlap, etc"""
@@ -34,24 +37,25 @@ class IntervalError(Exception):
cdef class Interval:
"""Represents an interval of time."""

cdef public double start, end
cdef public timestamp_t start, end

def __init__(self, double start, double end):
def __init__(self, timestamp_t start, timestamp_t end):
"""
'start' and 'end' are arbitrary floats that represent time
'start' and 'end' are arbitrary numbers that represent time
"""
if start >= end:
# Explicitly disallow zero-width intervals (since they're half-open)
raise IntervalError("start %s must precede end %s" % (start, end))
self.start = float(start)
self.end = float(end)
self.start = start
self.end = end

def __repr__(self):
s = repr(self.start) + ", " + repr(self.end)
return self.__class__.__name__ + "(" + s + ")"

def __str__(self):
return "[" + ftts(self.start) + " -> " + ftts(self.end) + ")"
return ("[" + timestamp_to_string(self.start) +
" -> " + timestamp_to_string(self.end) + ")")

def __cmp__(self, Interval other):
"""Compare two intervals. If non-equal, order by start then end"""
@@ -73,7 +77,7 @@ cdef class Interval:
return False
return True

cpdef subset(self, double start, double end):
cpdef subset(self, timestamp_t start, timestamp_t end):
"""Return a new Interval that is a subset of this one"""
# A subclass that tracks additional data might override this.
if start < self.start or end > self.end:
@@ -95,14 +99,14 @@ cdef class DBInterval(Interval):
db_end = 200, db_endpos = 20000
"""

cpdef public double db_start, db_end
cpdef public timestamp_t db_start, db_end
cpdef public uint64_t db_startpos, db_endpos

def __init__(self, start, end,
db_start, db_end,
db_startpos, db_endpos):
"""
'db_start' and 'db_end' are arbitrary floats that represent
'db_start' and 'db_end' are arbitrary numbers that represent
time. They must be a strict superset of the time interval
covered by 'start' and 'end'. The 'db_startpos' and
'db_endpos' are arbitrary database position indicators that
@@ -122,7 +126,7 @@ cdef class DBInterval(Interval):
s += ", " + repr(self.db_startpos) + ", " + repr(self.db_endpos)
return self.__class__.__name__ + "(" + s + ")"

cpdef subset(self, double start, double end):
cpdef subset(self, timestamp_t start, timestamp_t end):
"""
Return a new DBInterval that is a subset of this one
"""
@@ -331,7 +335,8 @@ cdef class IntervalSet:
yield i.start, key_start, i
yield i.end, key_end, i
if bounds is None:
bounds = Interval(-1e12, 1e12)
bounds = Interval(nilmdb_min_timestamp,
nilmdb_max_timestamp)
self_iter = decorate(self.intersection(bounds), 0, 2)
other_iter = decorate(other.intersection(bounds), 1, 3)

@@ -372,7 +377,7 @@ cdef class IntervalSet:
return True
return False

def find_end(self, double t):
def find_end(self, timestamp_t t):
"""
Return an Interval from this tree that ends at time t, or
None if it doesn't exist.


+ 4
- 1
nilmdb/server/layout.pyx View File

@@ -5,6 +5,8 @@ import sys
import inspect
import cStringIO

from ..utils.time import min_timestamp as nilmdb_min_timestamp

cdef enum:
max_value_count = 64

@@ -146,7 +148,8 @@ class Parser(object):
layout, into an internal data structure suitable for a
pytables 'table.append(parser.data)'.
"""
cdef double last_ts = -1e12, ts
cdef double last_ts = nilmdb_min_timestamp
cdef double ts
cdef int n = 0, i
cdef char *line



+ 3
- 3
nilmdb/server/nilmdb.py View File

@@ -135,9 +135,9 @@ class NilmDB(object):

def _check_user_times(self, start, end):
if start is None:
start = -1e12
start = nilmdb.utils.time.min_timestamp
if end is None:
end = 1e12
end = nilmdb.utils.time.max_timestamp
if start >= end:
raise NilmDBError("start must precede end")
return (start, end)
@@ -284,7 +284,7 @@ class NilmDB(object):
interval_min (earliest interval start)
interval_max (latest interval end)
rows (total number of rows of data)
seconds (total time covered by this stream)
time (total time covered by this stream, in timestamp units)
"""
params = ()
query = "SELECT streams.path, streams.layout"


+ 0
- 1
nilmdb/server/pyrocket.py View File

@@ -10,7 +10,6 @@ import cStringIO
import itertools
from . import layout as _layout
import nilmdb.utils
from nilmdb.utils.time import float_time_to_string as ftts

ERR_UNKNOWN = 0
ERR_NON_MONOTONIC = 1


+ 37
- 22
nilmdb/server/rocket.c View File

@@ -17,6 +17,13 @@
#define FLOAT64_MIN 0
#define FLOAT64_MAX 0

typedef int64_t timestamp_t;

/* This code probably needs to be double-checked for the case
where sizeof(long) != 8, so enforce that here with something
that will fail at build time. */
const static char __long_ok[1 - 2*!(sizeof(int64_t) == sizeof(long))] = { 0 };

/* Somewhat arbitrary, just so we can use fixed sizes for strings
etc. */
static const int MAX_LAYOUT_COUNT = 128;
@@ -46,10 +53,10 @@ static PyObject *raise_str(int line, int col, int code, const char *string)
}
return NULL;
}
static PyObject *raise_num(int line, int col, int code, double num)
static PyObject *raise_int(int line, int col, int code, int64_t num)
{
PyObject *o;
o = Py_BuildValue("(iiid)", line, col, code, num);
o = Py_BuildValue("(iiiL)", line, col, code, num);
if (o != NULL) {
PyErr_SetObject(ParseError, o);
Py_DECREF(o);
@@ -314,7 +321,7 @@ static PyObject *Rocket_append_iter(Rocket *self, PyObject *args)

/* Extract and write timestamp */
append_pyobject(self->file, PyList_GetItem(rowlist, 0),
LAYOUT_TYPE_FLOAT64);
LAYOUT_TYPE_INT64);
if (PyErr_Occurred())
goto row_err;

@@ -355,9 +362,9 @@ static PyObject *Rocket_append_string(Rocket *self, PyObject *args)
int offset;
const char *linestart;
int linenum;
double start;
double end;
double last_timestamp;
timestamp_t start;
timestamp_t end;
timestamp_t last_timestamp;

int written = 0;
char *endptr;
@@ -371,7 +378,7 @@ static PyObject *Rocket_append_string(Rocket *self, PyObject *args)
but we need the null termination for strto*. If we had
strnto* that took a length, we could use t# and not require
a copy. */
if (!PyArg_ParseTuple(args, "isiiddd:append_string", &count,
if (!PyArg_ParseTuple(args, "isiiLLL:append_string", &count,
&data, &offset, &linenum,
&start, &end, &last_timestamp))
return NULL;
@@ -401,17 +408,23 @@ static PyObject *Rocket_append_string(Rocket *self, PyObject *args)
}

/* Extract timestamp */
t64.d = strtod(buf, &endptr);
if (endptr == buf)
return raise_str(linenum, buf - linestart + 1,
ERR_OTHER, "bad timestamp");
if (t64.d <= last_timestamp)
return raise_num(linenum, buf - linestart + 1,
ERR_NON_MONOTONIC, t64.d);
last_timestamp = t64.d;
if (t64.d < start || t64.d >= end)
return raise_num(linenum, buf - linestart + 1,
ERR_OUT_OF_INTERVAL, t64.d);
t64.i = strtoll(buf, &endptr, 10);
if (endptr == buf || !isspace(*endptr)) {
/* Try parsing as a double instead */
t64.d = strtod(buf, &endptr);
if (endptr == buf)
goto bad_timestamp;
if (!isspace(*endptr))
goto cant_parse_value;
t64.i = round(t64.d);
}
if (t64.i <= last_timestamp)
return raise_int(linenum, buf - linestart + 1,
ERR_NON_MONOTONIC, t64.i);
last_timestamp = t64.i;
if (t64.i < start || t64.i >= end)
return raise_int(linenum, buf - linestart + 1,
ERR_OUT_OF_INTERVAL, t64.i);
t64.u = le64toh(t64.u);
if (fwrite(&t64.u, 8, 1, self->file) != 1)
goto err;
@@ -482,11 +495,14 @@ static PyObject *Rocket_append_string(Rocket *self, PyObject *args)
/* Build return value and return*/
offset = buf - data;
PyObject *o;
o = Py_BuildValue("(iidi)", written, offset, last_timestamp, linenum);
o = Py_BuildValue("(iiLi)", written, offset, last_timestamp, linenum);
return o;
err:
PyErr_SetFromErrno(PyExc_OSError);
return NULL;
bad_timestamp:
return raise_str(linenum, buf - linestart + 1,
ERR_OTHER, "bad timestamp");
cant_parse_value:
return raise_str(linenum, buf - linestart + 1,
ERR_OTHER, "can't parse value");
@@ -580,7 +596,7 @@ static PyObject *Rocket_extract_list(Rocket *self, PyObject *args)

/* Timestamp */
PyObject *entry = extract_pyobject(self->file,
LAYOUT_TYPE_FLOAT64);
LAYOUT_TYPE_INT64);
if (!entry || (PyList_SetItem(rowlist, 0, entry) < 0)) {
Py_DECREF(rowlist);
Py_DECREF(retlist);
@@ -653,8 +669,7 @@ static PyObject *Rocket_extract_string(Rocket *self, PyObject *args)
if (fread(&t64.u, 8, 1, self->file) != 1)
goto err;
t64.u = le64toh(t64.u);
/* Timestamps are always printed to the microsecond */
ret = sprintf(&str[len], "%.6f", t64.d);
ret = sprintf(&str[len], "%ld", t64.i);
if (ret <= 0)
goto err;
len += ret;


+ 9
- 8
nilmdb/server/server.py View File

@@ -6,6 +6,7 @@ from __future__ import absolute_import
import nilmdb.server
from nilmdb.utils.printf import *
from nilmdb.server.errors import NilmDBError
from nilmdb.utils.time import string_to_timestamp

import cherrypy
import sys
@@ -304,8 +305,8 @@ class Stream(NilmApp):
raise cherrypy.HTTPError("404 Not Found", "No such stream")

# Check limits
start = float(start)
end = float(end)
start = string_to_timestamp(start)
end = string_to_timestamp(end)
if start >= end:
raise cherrypy.HTTPError("400 Bad Request",
"start must precede end")
@@ -331,9 +332,9 @@ class Stream(NilmApp):
removed.
"""
if start is not None:
start = float(start)
start = string_to_timestamp(start)
if end is not None:
end = float(end)
end = string_to_timestamp(end)
if start is not None and end is not None:
if start >= end:
raise cherrypy.HTTPError("400 Bad Request",
@@ -362,9 +363,9 @@ class Stream(NilmApp):
'application/x-json-stream' for lack of a better option.
"""
if start is not None:
start = float(start)
start = string_to_timestamp(start)
if end is not None:
end = float(end)
end = string_to_timestamp(end)

if start is not None and end is not None:
if start >= end:
@@ -404,9 +405,9 @@ class Stream(NilmApp):
Add count=True to return a count rather than actual data.
"""
if start is not None:
start = float(start)
start = string_to_timestamp(start)
if end is not None:
end = float(end)
end = string_to_timestamp(end)

# Check parameters
if start is not None and end is not None:


+ 96
- 24
nilmdb/utils/time.py View File

@@ -1,11 +1,80 @@
from nilmdb.utils import datetime_tz
import re

USE_FLOATS=0

# Range
min_timestamp = (-2**63)
max_timestamp = (2**62 - 1)

# Smallest representable step
epsilon = 1

if USE_FLOATS:
min_timestamp = -1e12
max_timestamp = 1e12
epsilon = 1e-6

def string_to_timestamp(str):
"""Convert a string that represents an integer number of microseconds
since epoch."""
if USE_FLOATS:
return float(str)
try:
# Parse a string like "1234567890123456" and return an integer
return int(str)
except ValueError:
# For now, don't parse as float, to catch transition errors.
raise ValueError("can't parse timestamp as integer")

# Try parsing as a float, in case it's "1234567890123456.0"
return int(round(float(str)))

def timestamp_to_string(timestamp):
"""Convert a timestamp (integer microseconds since epoch) to a string"""
if USE_FLOATS:
return "%.6f" % timestamp
if isinstance(timestamp, float):
return str(int(round(timestamp)))
else:
return str(timestamp)

def timestamp_to_human(timestamp):
"""Convert a timestamp (integer microseconds since epoch) to a
human-readable string, using the local timezone for display
(e.g. from the TZ env var)."""
dt = datetime_tz.datetime_tz.fromtimestamp(timestamp_to_unix(timestamp))
return dt.strftime("%a, %d %b %Y %H:%M:%S.%f %z")

def unix_to_timestamp(unix):
"""Convert a Unix timestamp (floating point seconds since epoch)
into a NILM timestamp (integer microseconds since epoch)"""
if USE_FLOATS:
return unix
return int(round(unix * 1e6))

def timestamp_to_unix(timestamp):
"""Convert a NILM timestamp (integer microseconds since epoch)
into a Unix timestamp (floating point seconds since epoch)"""
if USE_FLOATS:
return timestamp
return timestamp / 1e6
timestamp_to_seconds = timestamp_to_unix

def rate_to_period(hz, cycles = 1):
"""Convert a rate (in Hz) to a period (in timestamp units).
Returns an integer."""
period = unix_to_timestamp(cycles) / float(hz)
if USE_FLOATS:
return period
return int(round(period))

def parse_time(toparse):
"""
Parse a free-form time string and return a datetime_tz object.
If the string doesn't contain a timestamp, the current local
timezone is assumed (e.g. from the TZ env var).
Parse a free-form time string and return a nilmdb timestamp
(integer seconds since epoch). If the string doesn't contain a
timestamp, the current local timezone is assumed (e.g. from the TZ
env var).
"""
# If string isn't "now" and doesn't contain at least 4 digits,
# consider it invalid. smartparse might otherwise accept
@@ -15,17 +84,28 @@ def parse_time(toparse):

# Try to just parse the time as given
try:
return datetime_tz.datetime_tz.smartparse(toparse)
except ValueError:
return unix_to_timestamp(datetime_tz.datetime_tz.
smartparse(toparse).totimestamp())
except (ValueError, OverflowError):
pass

# Try to treat it as a single double
# If it starts with @, treat it as a NILM timestamp
# (integer microseconds since epoch)
try:
timestamp = float(toparse)
# range is from about year 2001 - 2065
if timestamp < 1e9 or timestamp > 3e9:
raise ValueError
return datetime_tz.datetime_tz.fromtimestamp(timestamp)
if toparse[0] == '@':
return int(toparse[1:])
except (ValueError, KeyError):
pass

# If it's parseable as a float, treat it as a Unix or NILM
# timestamp based on its range.
try:
val = float(toparse)
# range is from about year 2001 - 2128
if val > 1e9 and val < 5e9:
return unix_to_timestamp(val)
if val > 1e15 and val < 5e15:
return val
except ValueError:
pass

@@ -47,7 +127,8 @@ def parse_time(toparse):
r")", toparse)
if res is not None:
try:
return datetime_tz.datetime_tz.smartparse(res.group(2))
return unix_to_timestamp(datetime_tz.datetime_tz.
smartparse(res.group(2)).totimestamp())
except ValueError:
pass

@@ -55,15 +136,6 @@ def parse_time(toparse):
# just give up for now.
raise ValueError("unable to parse timestamp")

def format_time(timestamp):
"""
Convert a Unix timestamp to a string for printing, using the
local timezone for display (e.g. from the TZ env var).
"""
dt = datetime_tz.datetime_tz.fromtimestamp(timestamp)
return dt.strftime("%a, %d %b %Y %H:%M:%S.%f %z")

def float_time_to_string(timestamp):
"""Convert a floating-point Unix timestamp to a string,
like '1234567890.000000'"""
return "%.6f" % timestamp
def now():
"""Return current timestamp"""
return unix_to_timestamp(datetime_tz.datetime_tz.utcnow().totimestamp())

+ 10
- 8
nilmdb/utils/timestamper.py View File

@@ -1,7 +1,7 @@
"""File-like objects that add timestamps to the input lines"""

from nilmdb.utils.printf import *
from nilmdb.utils import datetime_tz
import nilmdb.utils.time

class Timestamper(object):
"""A file-like object that adds timestamps to lines of an input file."""
@@ -61,31 +61,33 @@ class TimestamperRate(Timestamper):

end: If specified, raise StopIteration before outputting a value
greater than this."""
timestamp_to_string = nilmdb.utils.time.timestamp_to_string
rate_to_period = nilmdb.utils.time.rate_to_period
def iterator(start, rate, end):
n = 0
rate = float(rate)
while True:
now = start + n / rate
now = start + rate_to_period(rate, n)
if end and now >= end:
raise StopIteration
yield sprintf("%.6f ", start + n / rate)
yield timestamp_to_string(now) + " "
n += 1
Timestamper.__init__(self, infile, iterator(start, rate, end))
self.start = start
self.rate = rate
def __str__(self):
start = datetime_tz.datetime_tz.fromtimestamp(self.start)
start = start.strftime("%a, %d %b %Y %H:%M:%S %Z")
return sprintf("TimestamperRate(..., start=\"%s\", rate=%g)",
str(start), self.rate)
nilmdb.utils.time.timestamp_to_human(self.start),
self.rate)

class TimestamperNow(Timestamper):
"""Timestamper that uses current time"""
def __init__(self, infile):
timestamp_to_string = nilmdb.utils.time.timestamp_to_string
get_now = nilmdb.utils.time.now
def iterator():
while True:
now = datetime_tz.datetime_tz.utcnow().totimestamp()
yield sprintf("%.6f ", now)
yield timestamp_to_string(get_now()) + " "
Timestamper.__init__(self, infile, iterator())
def __str__(self):
return "TimestamperNow(...)"

+ 120
- 120
tests/data/extract-1 View File

@@ -2,123 +2,123 @@
# layout: float32_8
# start: Fri, 23 Mar 2012 10:00:30.000000 +0000
# end: Fri, 23 Mar 2012 10:00:31.000000 +0000
1332496830.000000 2.517740e+05 2.242410e+05 5.688100e+03 1.915530e+03 9.329220e+03 4.183710e+03 1.212350e+03 2.641790e+03
1332496830.008333 2.595670e+05 2.226980e+05 6.207600e+03 6.786720e+02 9.380230e+03 4.575580e+03 2.830610e+03 2.688630e+03
1332496830.016667 2.630730e+05 2.233040e+05 4.961640e+03 2.197120e+03 7.687310e+03 4.861860e+03 2.732780e+03 3.008540e+03
1332496830.025000 2.576140e+05 2.233230e+05 5.003660e+03 3.525140e+03 7.165310e+03 4.685620e+03 1.715380e+03 3.440480e+03
1332496830.033333 2.557800e+05 2.219150e+05 6.357310e+03 2.145290e+03 8.426970e+03 3.775350e+03 1.475390e+03 3.797240e+03
1332496830.041667 2.601660e+05 2.230080e+05 6.702590e+03 1.484960e+03 9.288100e+03 3.330830e+03 1.228500e+03 3.214320e+03
1332496830.050000 2.612310e+05 2.264260e+05 4.980060e+03 2.982380e+03 8.499630e+03 4.267670e+03 9.940890e+02 2.292890e+03
1332496830.058333 2.551170e+05 2.266420e+05 4.584410e+03 4.656440e+03 7.860150e+03 5.317310e+03 1.473600e+03 2.111690e+03
1332496830.066667 2.533000e+05 2.235540e+05 6.455090e+03 3.036650e+03 8.869750e+03 4.986310e+03 2.607360e+03 2.839590e+03
1332496830.075000 2.610610e+05 2.212630e+05 6.951980e+03 1.500240e+03 9.386100e+03 3.791680e+03 2.677010e+03 3.980630e+03
1332496830.083333 2.665030e+05 2.231980e+05 5.189610e+03 2.594560e+03 8.571530e+03 3.175000e+03 9.198400e+02 3.792010e+03
1332496830.091667 2.606920e+05 2.251840e+05 3.782480e+03 4.642880e+03 7.662960e+03 3.917790e+03 -2.510970e+02 2.907060e+03
1332496830.100000 2.539630e+05 2.250810e+05 5.123530e+03 3.839550e+03 8.669030e+03 4.877820e+03 9.437240e+02 2.527450e+03
1332496830.108333 2.565550e+05 2.241690e+05 5.930600e+03 2.298540e+03 8.906710e+03 5.331680e+03 2.549910e+03 3.053560e+03
1332496830.116667 2.608890e+05 2.250100e+05 4.681130e+03 2.971870e+03 7.900040e+03 4.874080e+03 2.322430e+03 3.649120e+03
1332496830.125000 2.579440e+05 2.249230e+05 3.291140e+03 4.357090e+03 7.131590e+03 4.385560e+03 1.077050e+03 3.664040e+03
1332496830.133333 2.550090e+05 2.230180e+05 4.584820e+03 2.864000e+03 8.469490e+03 3.625580e+03 9.855570e+02 3.504230e+03
1332496830.141667 2.601140e+05 2.219470e+05 5.676190e+03 1.210340e+03 9.393780e+03 3.390240e+03 1.654020e+03 3.018700e+03
1332496830.150000 2.642770e+05 2.244380e+05 4.446620e+03 2.176720e+03 8.142090e+03 4.584880e+03 2.327830e+03 2.615800e+03
1332496830.158333 2.592210e+05 2.264710e+05 2.734440e+03 4.182760e+03 6.389550e+03 5.540520e+03 1.958880e+03 2.720120e+03
1332496830.166667 2.526500e+05 2.248310e+05 4.163640e+03 2.989990e+03 7.179200e+03 5.213060e+03 1.929550e+03 3.457660e+03
1332496830.175000 2.570830e+05 2.220480e+05 5.759040e+03 7.024410e+02 8.566550e+03 3.552020e+03 1.832940e+03 3.956190e+03
1332496830.183333 2.631300e+05 2.229670e+05 5.141140e+03 1.166120e+03 8.666960e+03 2.720370e+03 9.713740e+02 3.479730e+03
1332496830.191667 2.602360e+05 2.252650e+05 3.425140e+03 3.339080e+03 7.853610e+03 3.674950e+03 5.259080e+02 2.443310e+03
1332496830.200000 2.535030e+05 2.245270e+05 4.398130e+03 2.927430e+03 8.110280e+03 4.842470e+03 1.513870e+03 2.467100e+03
1332496830.208333 2.561260e+05 2.226930e+05 6.043530e+03 6.562240e+02 8.797560e+03 4.832410e+03 2.832370e+03 3.426140e+03
1332496830.216667 2.616770e+05 2.236080e+05 5.830460e+03 1.033910e+03 8.123940e+03 3.980690e+03 1.927960e+03 4.092720e+03
1332496830.225000 2.594570e+05 2.255360e+05 4.015570e+03 2.995990e+03 7.135440e+03 3.713550e+03 3.072200e+02 3.849430e+03
1332496830.233333 2.533520e+05 2.242160e+05 4.650560e+03 3.196620e+03 8.131280e+03 3.586160e+03 7.083230e+01 3.074180e+03
1332496830.241667 2.561240e+05 2.215130e+05 6.100480e+03 8.219800e+02 9.757540e+03 3.474510e+03 1.647520e+03 2.559860e+03
1332496830.250000 2.630240e+05 2.215590e+05 5.789960e+03 6.994170e+02 9.129740e+03 4.153080e+03 2.829250e+03 2.677270e+03
1332496830.258333 2.617200e+05 2.240150e+05 4.358500e+03 2.645360e+03 7.414110e+03 4.810670e+03 2.225990e+03 3.185990e+03
1332496830.266667 2.547560e+05 2.242400e+05 4.857380e+03 3.229680e+03 7.539310e+03 4.769140e+03 1.507130e+03 3.668260e+03
1332496830.275000 2.568890e+05 2.226580e+05 6.473420e+03 1.214110e+03 9.010760e+03 3.848730e+03 1.303840e+03 3.778500e+03
1332496830.283333 2.642080e+05 2.233160e+05 5.700450e+03 1.116560e+03 9.087610e+03 3.846680e+03 1.293590e+03 2.891560e+03
1332496830.291667 2.633100e+05 2.257190e+05 3.936120e+03 3.252360e+03 7.552850e+03 4.897860e+03 1.156630e+03 2.037160e+03
1332496830.300000 2.550790e+05 2.250860e+05 4.536450e+03 3.960110e+03 7.454590e+03 5.479070e+03 1.596360e+03 2.190800e+03
1332496830.308333 2.544870e+05 2.225080e+05 6.635860e+03 1.758850e+03 8.732970e+03 4.466970e+03 2.650360e+03 3.139310e+03
1332496830.316667 2.612410e+05 2.224320e+05 6.702270e+03 1.085130e+03 8.989230e+03 3.112990e+03 1.933560e+03 3.828410e+03
1332496830.325000 2.621190e+05 2.255870e+05 4.714950e+03 2.892360e+03 8.107820e+03 2.961310e+03 2.399780e+02 3.273720e+03
1332496830.333333 2.549990e+05 2.265140e+05 4.532090e+03 4.126900e+03 8.200130e+03 3.872590e+03 5.608900e+01 2.370580e+03
1332496830.341667 2.542890e+05 2.240330e+05 6.538810e+03 2.251440e+03 9.419430e+03 4.564450e+03 2.077810e+03 2.508170e+03
1332496830.350000 2.618900e+05 2.219600e+05 6.846090e+03 1.475270e+03 9.125590e+03 4.598290e+03 3.299220e+03 3.475420e+03
1332496830.358333 2.645020e+05 2.230850e+05 5.066380e+03 3.270560e+03 7.933170e+03 4.173710e+03 1.908910e+03 3.867460e+03
1332496830.366667 2.578890e+05 2.236560e+05 4.201660e+03 4.473640e+03 7.688340e+03 4.161580e+03 6.875790e+02 3.653690e+03
1332496830.375000 2.542700e+05 2.231510e+05 5.715140e+03 2.752140e+03 9.273320e+03 3.772950e+03 8.964040e+02 3.256060e+03
1332496830.383333 2.582570e+05 2.242170e+05 6.114310e+03 1.856860e+03 9.604320e+03 4.200490e+03 1.764380e+03 2.939220e+03
1332496830.391667 2.600200e+05 2.268680e+05 4.237530e+03 3.605880e+03 8.066220e+03 5.430250e+03 2.138580e+03 2.696710e+03
1332496830.400000 2.550830e+05 2.259240e+05 3.350310e+03 4.853070e+03 7.045820e+03 5.925200e+03 1.893610e+03 2.897340e+03
1332496830.408333 2.544530e+05 2.221270e+05 5.271330e+03 2.491500e+03 8.436680e+03 5.032080e+03 2.436050e+03 3.724590e+03
1332496830.416667 2.625880e+05 2.199500e+05 5.994620e+03 7.892740e+02 9.029650e+03 3.515740e+03 1.953570e+03 4.014520e+03
1332496830.425000 2.656100e+05 2.233330e+05 4.391410e+03 2.400960e+03 8.146460e+03 3.536960e+03 5.302320e+02 3.133920e+03
1332496830.433333 2.574700e+05 2.269770e+05 2.975320e+03 4.633530e+03 7.278560e+03 4.640100e+03 -5.015020e+01 2.024960e+03
1332496830.441667 2.506870e+05 2.263310e+05 4.517860e+03 3.183800e+03 8.072600e+03 5.281660e+03 1.605140e+03 2.335140e+03
1332496830.450000 2.555630e+05 2.244950e+05 5.551000e+03 1.101300e+03 8.461490e+03 4.725700e+03 2.726670e+03 3.480540e+03
1332496830.458333 2.613350e+05 2.246450e+05 4.764680e+03 1.557020e+03 7.833350e+03 3.524810e+03 1.577410e+03 4.038620e+03
1332496830.466667 2.602690e+05 2.240080e+05 3.558030e+03 2.987610e+03 7.362440e+03 3.279230e+03 5.624420e+02 3.786550e+03
1332496830.475000 2.574350e+05 2.217770e+05 4.972600e+03 2.166880e+03 8.481440e+03 3.328720e+03 1.037130e+03 3.271370e+03
1332496830.483333 2.610460e+05 2.215500e+05 5.816180e+03 5.902170e+02 9.120930e+03 3.895400e+03 2.382670e+03 2.824170e+03
1332496830.491667 2.627660e+05 2.244730e+05 4.835050e+03 1.785770e+03 7.880760e+03 4.745620e+03 2.443660e+03 3.229550e+03
1332496830.500000 2.565090e+05 2.264130e+05 3.758870e+03 3.461200e+03 6.743770e+03 4.928960e+03 1.536620e+03 3.546690e+03
1332496830.508333 2.507930e+05 2.243720e+05 5.218490e+03 2.865260e+03 7.803960e+03 4.351090e+03 1.333820e+03 3.680490e+03
1332496830.516667 2.563190e+05 2.220660e+05 6.403970e+03 7.323450e+02 9.627760e+03 3.089300e+03 1.516780e+03 3.653690e+03
1332496830.525000 2.633430e+05 2.232350e+05 5.200430e+03 1.388580e+03 9.372850e+03 3.371230e+03 1.450390e+03 2.678910e+03
1332496830.533333 2.609030e+05 2.251100e+05 3.722580e+03 3.246660e+03 7.876540e+03 4.716810e+03 1.498440e+03 2.116520e+03
1332496830.541667 2.544160e+05 2.237690e+05 4.841650e+03 2.956400e+03 8.115920e+03 5.392360e+03 2.142810e+03 2.652320e+03
1332496830.550000 2.566980e+05 2.221720e+05 6.471230e+03 9.703960e+02 8.834980e+03 4.816840e+03 2.376630e+03 3.605860e+03
1332496830.558333 2.618410e+05 2.235370e+05 5.500740e+03 1.189660e+03 8.365730e+03 4.016470e+03 1.042270e+03 3.821200e+03
1332496830.566667 2.595030e+05 2.258400e+05 3.827930e+03 3.088840e+03 7.676140e+03 3.978310e+03 -3.570070e+02 3.016420e+03
1332496830.575000 2.534570e+05 2.246360e+05 4.914610e+03 3.097450e+03 8.224900e+03 4.321440e+03 1.713740e+02 2.412360e+03
1332496830.583333 2.560290e+05 2.222210e+05 6.841800e+03 1.028500e+03 9.252300e+03 4.387570e+03 2.418140e+03 2.510100e+03
1332496830.591667 2.628400e+05 2.225500e+05 6.210250e+03 1.410730e+03 8.538900e+03 4.152580e+03 3.009300e+03 3.219760e+03
1332496830.600000 2.616330e+05 2.250650e+05 4.284530e+03 3.357210e+03 7.282170e+03 3.823590e+03 1.402840e+03 3.644670e+03
1332496830.608333 2.545910e+05 2.251090e+05 4.693160e+03 3.647740e+03 7.745160e+03 3.686380e+03 4.901610e+02 3.448860e+03
1332496830.616667 2.547800e+05 2.235990e+05 6.527380e+03 1.569870e+03 9.438430e+03 3.456580e+03 1.162520e+03 3.252010e+03
1332496830.625000 2.606390e+05 2.241070e+05 6.531050e+03 1.633050e+03 9.283720e+03 4.174020e+03 2.089550e+03 2.775750e+03
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- 119
tests/data/extract-2 View File

@@ -1,119 +1,119 @@
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1332496830658333 2.649240e+05 2.215590e+05 6.471460e+03 1.110330e+03 9.459650e+03 3.108170e+03 1.696970e+03 3.893440e+03
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1332496830708333 2.571760e+05 2.244200e+05 3.517300e+03 4.118750e+03 7.822240e+03 3.718230e+03 3.726490e+01 2.953680e+03
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1332496830783333 2.503260e+05 2.250130e+05 5.519980e+03 2.423970e+03 7.991760e+03 5.117950e+03 2.098790e+03 3.099240e+03
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1332496830800000 2.612860e+05 2.234890e+05 5.152850e+03 1.501510e+03 8.425610e+03 2.888030e+03 7.761140e+02 3.786360e+03
1332496830808333 2.589690e+05 2.240690e+05 3.832610e+03 3.001980e+03 7.979260e+03 3.182310e+03 5.271600e+01 2.874800e+03
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1332496830833333 2.621250e+05 2.235660e+05 5.116750e+03 1.773600e+03 8.082200e+03 4.776370e+03 2.386390e+03 3.659730e+03
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1332496830883333 2.527160e+05 2.243350e+05 5.086560e+03 3.401150e+03 7.597970e+03 5.196120e+03 1.755720e+03 3.079760e+03
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1332496830900000 2.599690e+05 2.246930e+05 6.183950e+03 1.538500e+03 9.222080e+03 3.139170e+03 9.499020e+02 3.180800e+03
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1332496830925000 2.580590e+05 2.212170e+05 6.883460e+03 1.649530e+03 9.232780e+03 4.457650e+03 3.057820e+03 3.031950e+03
1332496830933333 2.646670e+05 2.211770e+05 6.218510e+03 1.645730e+03 8.657180e+03 3.663500e+03 2.528280e+03 3.978340e+03
1332496830941667 2.629250e+05 2.243820e+05 4.627500e+03 3.635930e+03 7.892800e+03 3.431320e+03 6.045090e+02 3.901370e+03
1332496830950000 2.547080e+05 2.254480e+05 4.408250e+03 4.461040e+03 8.197170e+03 3.953750e+03 -4.453460e+01 3.154870e+03
1332496830958333 2.537020e+05 2.246350e+05 5.825770e+03 2.577050e+03 9.590050e+03 4.569250e+03 1.460270e+03 2.785170e+03
1332496830966667 2.602060e+05 2.241400e+05 5.387980e+03 1.951160e+03 8.789510e+03 5.131660e+03 2.706380e+03 2.972480e+03
1332496830975000 2.612400e+05 2.247370e+05 3.860810e+03 3.418310e+03 7.414530e+03 5.284520e+03 2.271380e+03 3.183150e+03
1332496830983333 2.561400e+05 2.232520e+05 3.850010e+03 3.957140e+03 7.262650e+03 4.964640e+03 1.499510e+03 3.453130e+03
1332496830991667 2.561160e+05 2.213490e+05 5.594480e+03 2.054400e+03 8.835130e+03 3.662010e+03 1.485510e+03 3.613010e+03

+ 1
- 1
tests/data/extract-3 View File

@@ -1 +1 @@
1332496830.008333 2.595670e+05 2.226980e+05 6.207600e+03 6.786720e+02 9.380230e+03 4.575580e+03 2.830610e+03 2.688630e+03
1332496830008333 2.595670e+05 2.226980e+05 6.207600e+03 6.786720e+02 9.380230e+03 4.575580e+03 2.830610e+03 2.688630e+03

+ 2
- 2
tests/data/extract-4 View File

@@ -1,2 +1,2 @@
1332496830.008333 2.595670e+05 2.226980e+05 6.207600e+03 6.786720e+02 9.380230e+03 4.575580e+03 2.830610e+03 2.688630e+03
1332496830.016667 2.630730e+05 2.233040e+05 4.961640e+03 2.197120e+03 7.687310e+03 4.861860e+03 2.732780e+03 3.008540e+03
1332496830008333 2.595670e+05 2.226980e+05 6.207600e+03 6.786720e+02 9.380230e+03 4.575580e+03 2.830610e+03 2.688630e+03
1332496830016667 2.630730e+05 2.233040e+05 4.961640e+03 2.197120e+03 7.687310e+03 4.861860e+03 2.732780e+03 3.008540e+03

+ 122
- 122
tests/data/extract-7 View File

@@ -1,124 +1,124 @@
# path: /newton/prep
# layout: float32_8
# start: 1332496830.000000
# end: 1332496830.999000
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1332496830.050000 2.612310e+05 2.264260e+05 4.980060e+03 2.982380e+03 8.499630e+03 4.267670e+03 9.940890e+02 2.292890e+03
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1332496830975000 2.612400e+05 2.247370e+05 3.860810e+03 3.418310e+03 7.414530e+03 5.284520e+03 2.271380e+03 3.183150e+03
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+ 11
- 11
tests/data/prep-20120323T1004-badtimes View File

@@ -1,11 +1,11 @@
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1332497040.010000 2.51903e+05 2.23202e+05 4.23696e+03 3.49363e+03 8.53493e+03 4.29416e+03 8.49573e+02 2.38189e+03
1332497040.020000 2.57625e+05 2.20247e+05 5.47017e+03 1.35872e+03 9.18903e+03 4.56136e+03 2.65599e+03 2.60912e+03
1332497040.030000 2.63375e+05 2.20706e+05 4.51842e+03 1.80758e+03 8.17208e+03 4.17463e+03 2.57884e+03 3.32848e+03
1332497040.040000 2.59221e+05 2.22346e+05 2.98879e+03 3.66264e+03 6.87274e+03 3.94223e+03 1.25928e+03 3.51786e+03
1332497040.050000 2.51918e+05 2.22281e+05 4.22677e+03 2.84764e+03 7.78323e+03 3.81659e+03 8.04944e+02 3.46314e+03
1332497040.050000 2.54478e+05 2.21701e+05 5.61366e+03 1.02262e+03 9.26581e+03 3.50152e+03 1.29331e+03 3.07271e+03
1332497040.060000 2.59568e+05 2.22945e+05 4.97190e+03 1.28250e+03 8.62081e+03 4.06316e+03 1.85717e+03 2.61990e+03
1332497040.070000 2.57269e+05 2.23697e+05 3.60527e+03 3.05749e+03 7.22363e+03 4.90330e+03 1.93736e+03 2.35357e+03
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1332497040060000 2.59568e+05 2.22945e+05 4.97190e+03 1.28250e+03 8.62081e+03 4.06316e+03 1.85717e+03 2.61990e+03
1332497040070000 2.57269e+05 2.23697e+05 3.60527e+03 3.05749e+03 7.22363e+03 4.90330e+03 1.93736e+03 2.35357e+03
1332497040080000 2.52274e+05 2.21438e+05 5.01228e+03 2.86309e+03 7.87115e+03 4.80448e+03 2.18291e+03 2.93397e+03
1332497040090000 2.56468e+05 2.19205e+05 6.29804e+03 8.09467e+02 9.12895e+03 3.52055e+03 2.16980e+03 3.88739e+03

+ 14400
- 14400
tests/data/prep-20120323T1004-timestamped
File diff suppressed because it is too large
View File


+ 54
- 33
tests/test_client.py View File

@@ -186,8 +186,7 @@ class TestClient(object):
datetime_tz.localtz_set("America/New_York")

testfile = "tests/data/prep-20120323T1000"
start = datetime_tz.datetime_tz.smartparse("20120323T1000")
start = start.totimestamp()
start = nilmdb.utils.time.parse_time("20120323T1000")
rate = 120

# First try a nonexistent path
@@ -243,32 +242,32 @@ class TestClient(object):
data = timestamper.TimestamperRate(testfile, start, 120)
with assert_raises(ClientError) as e:
result = client.stream_insert("/newton/prep", data,
start + 5, start + 120)
start + 5000000, start + 120000000)
in_("400 Bad Request", str(e.exception))
in_("Data timestamp 1332511200.000000 < start time 1332511205.000000",
in_("Data timestamp 1332511200000000 < start time 1332511205000000",
str(e.exception))

# Specify start/end (ends too early)
data = timestamper.TimestamperRate(testfile, start, 120)
with assert_raises(ClientError) as e:
result = client.stream_insert("/newton/prep", data,
start, start + 1)
start, start + 1000000)
in_("400 Bad Request", str(e.exception))
# Client chunks the input, so the exact timestamp here might change
# if the chunk positions change.
assert(re.search("Data timestamp 13325[0-9]+\.[0-9]+ "
">= end time 1332511201.000000", str(e.exception))
assert(re.search("Data timestamp 13325[0-9]+ "
">= end time 1332511201000000", str(e.exception))
is not None)

# Now do the real load
data = timestamper.TimestamperRate(testfile, start, 120)
result = client.stream_insert("/newton/prep", data,
start, start + 119.999777)
start, start + 119999777)

# Verify the intervals. Should be just one, even if the data
# was inserted in chunks, due to nilmdb interval concatenation.
intervals = list(client.stream_intervals("/newton/prep"))
eq_(intervals, [[start, start + 119.999777]])
eq_(intervals, [[start, start + 119999777]])

# Try some overlapping data -- just insert it again
data = timestamper.TimestamperRate(testfile, start, 120)
@@ -284,11 +283,12 @@ class TestClient(object):
# Misc tests for extract and remove. Most of them are in test_cmdline.
client = nilmdb.client.Client(url = testurl)

for x in client.stream_extract("/newton/prep", 999123, 999124):
for x in client.stream_extract("/newton/prep",
999123000000, 999124000000):
raise AssertionError("shouldn't be any data for this request")

with assert_raises(ClientError) as e:
client.stream_remove("/newton/prep", 123, 120)
client.stream_remove("/newton/prep", 123000000, 120000000)

# Test count
eq_(client.stream_count("/newton/prep"), 14400)
@@ -301,13 +301,11 @@ class TestClient(object):
client = nilmdb.client.Client(url = testurl)

# Trigger a client error in generator
start = datetime_tz.datetime_tz.smartparse("20120323T2000")
end = datetime_tz.datetime_tz.smartparse("20120323T1000")
start = nilmdb.utils.time.parse_time("20120323T2000")
end = nilmdb.utils.time.parse_time("20120323T1000")
for function in [ client.stream_intervals, client.stream_extract ]:
with assert_raises(ClientError) as e:
function("/newton/prep",
start.totimestamp(),
end.totimestamp()).next()
function("/newton/prep", start, end).next()
in_("400 Bad Request", str(e.exception))
in_("start must precede end", str(e.exception))

@@ -455,21 +453,21 @@ class TestClient(object):
ctx.insert(" 105 1\n")
ctx.finalize()

ctx.insert("106 1\n")
ctx.update_end(106.5)
ctx.finalize()
ctx.update_start(106.8)
ctx.insert("107 1\n")
ctx.insert("108 1\n")
ctx.insert("109 1\n")
ctx.update_end(108)
ctx.finalize()
ctx.update_start(109)
ctx.insert("110 1\n")
ctx.insert("111 1\n")
ctx.update_end(113)
ctx.insert("112 1\n")
ctx.update_end(114)
ctx.insert("113 1\n")
ctx.update_end(115)
ctx.insert("114 1" +
ctx.insert("114 1\n")
ctx.update_end(116)
ctx.insert("115 1\n")
ctx.update_end(117)
ctx.insert("116 1\n")
ctx.update_end(118)
ctx.insert("117 1" +
" # this is super long" * 100 +
"\n")
ctx.finalize()
@@ -477,11 +475,11 @@ class TestClient(object):

with assert_raises(ClientError):
with client.stream_insert_context("/context/test", 100, 200) as ctx:
ctx.insert("115 1\n")
ctx.insert("118 1\n")

with assert_raises(ClientError):
with client.stream_insert_context("/context/test", 200, 300) as ctx:
ctx.insert("115 1\n")
ctx.insert("118 1\n")

with assert_raises(ClientError):
with client.stream_insert_context("/context/test") as ctx:
@@ -503,9 +501,9 @@ class TestClient(object):
ctx.finalize()

eq_(list(client.stream_intervals("/context/test")),
[ [ 100, 105.000001 ],
[ 106, 106.5 ],
[ 106.8, 115 ],
[ [ 100, 106 ],
[ 107, 108 ],
[ 109, 118 ],
[ 200, 300 ] ])

client.stream_destroy("/context/test")
@@ -567,7 +565,7 @@ class TestClient(object):
ctx.finalize() # nothing
ctx.finalize() # nothing
ctx.insert("1100 1\n")
ctx.finalize() # inserts [1100, 1100.000001]
ctx.finalize() # inserts [1100, 1101]
ctx.update_start(1199)
ctx.insert("1200 1\n")
ctx.update_end(1250)
@@ -595,7 +593,7 @@ class TestClient(object):
(0, [400, 450]),
(0, [500, 550]),
(0, [1000, 1050]),
(1, [1100, 1100.000001]),
(1, [1100, 1101]),
(1, [1199, 1250]),
(0, [1400, 1450]),
(0, [1500, 1550]),
@@ -639,3 +637,26 @@ class TestClient(object):
# Clean up
c.stream_destroy("/persist/test")
eq_(connections(), (1, 6))

def test_client_13_timestamp_rounding(self):
raise SkipTest("doesn't work right")

# Test potentially bad timestamps (due to floating point roundoff etc)
client = nilmdb.client.Client(testurl)

client.stream_create("/rounding/test", "uint16_1")
with client.stream_insert_context("/rounding/test",
100000000, 200000000) as ctx:
ctx.insert("100000000 1\n")
ctx.insert("150000000 1\n")
ctx.insert("199999999 1\n")

with assert_raises(ClientError):
with client.stream_insert_context("/rounding/test",
200000000, 300000000) as ctx:
ctx.insert("200000000 1\n")
ctx.insert("250000000 1\n")
ctx.insert("299999999.99 1\n")

client.stream_destroy("/rounding/test")
client.close()

+ 14
- 5
tests/test_cmdline.py View File

@@ -15,6 +15,7 @@ import re
import sys
import StringIO
import shlex
import warnings