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sqldata.py
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sqldata.py
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# Licensed under the Apache License: http://www.apache.org/licenses/LICENSE-2.0
# For details: https://github.com/nedbat/coveragepy/blob/master/NOTICE.txt
"""Sqlite coverage data."""
# TODO: factor out dataop debugging to a wrapper class?
# TODO: make sure all dataop debugging is in place somehow
import collections
import datetime
import functools
import glob
import itertools
import os
import random
import re
import socket
import sqlite3
import sys
import threading
import zlib
from coverage.debug import NoDebugging, SimpleReprMixin, clipped_repr
from coverage.exceptions import CoverageException, DataError
from coverage.files import PathAliases
from coverage.misc import contract, file_be_gone, isolate_module
from coverage.numbits import numbits_to_nums, numbits_union, nums_to_numbits
from coverage.version import __version__
os = isolate_module(os)
# If you change the schema, increment the SCHEMA_VERSION, and update the
# docs in docs/dbschema.rst also.
SCHEMA_VERSION = 7
# Schema versions:
# 1: Released in 5.0a2
# 2: Added contexts in 5.0a3.
# 3: Replaced line table with line_map table.
# 4: Changed line_map.bitmap to line_map.numbits.
# 5: Added foreign key declarations.
# 6: Key-value in meta.
# 7: line_map -> line_bits
SCHEMA = """\
CREATE TABLE coverage_schema (
-- One row, to record the version of the schema in this db.
version integer
);
CREATE TABLE meta (
-- Key-value pairs, to record metadata about the data
key text,
value text,
unique (key)
-- Keys:
-- 'has_arcs' boolean -- Is this data recording branches?
-- 'sys_argv' text -- The coverage command line that recorded the data.
-- 'version' text -- The version of coverage.py that made the file.
-- 'when' text -- Datetime when the file was created.
);
CREATE TABLE file (
-- A row per file measured.
id integer primary key,
path text,
unique (path)
);
CREATE TABLE context (
-- A row per context measured.
id integer primary key,
context text,
unique (context)
);
CREATE TABLE line_bits (
-- If recording lines, a row per context per file executed.
-- All of the line numbers for that file/context are in one numbits.
file_id integer, -- foreign key to `file`.
context_id integer, -- foreign key to `context`.
numbits blob, -- see the numbits functions in coverage.numbits
foreign key (file_id) references file (id),
foreign key (context_id) references context (id),
unique (file_id, context_id)
);
CREATE TABLE arc (
-- If recording branches, a row per context per from/to line transition executed.
file_id integer, -- foreign key to `file`.
context_id integer, -- foreign key to `context`.
fromno integer, -- line number jumped from.
tono integer, -- line number jumped to.
foreign key (file_id) references file (id),
foreign key (context_id) references context (id),
unique (file_id, context_id, fromno, tono)
);
CREATE TABLE tracer (
-- A row per file indicating the tracer used for that file.
file_id integer primary key,
tracer text,
foreign key (file_id) references file (id)
);
"""
class CoverageData(SimpleReprMixin):
"""Manages collected coverage data, including file storage.
This class is the public supported API to the data that coverage.py
collects during program execution. It includes information about what code
was executed. It does not include information from the analysis phase, to
determine what lines could have been executed, or what lines were not
executed.
.. note::
The data file is currently a SQLite database file, with a
:ref:`documented schema <dbschema>`. The schema is subject to change
though, so be careful about querying it directly. Use this API if you
can to isolate yourself from changes.
There are a number of kinds of data that can be collected:
* **lines**: the line numbers of source lines that were executed.
These are always available.
* **arcs**: pairs of source and destination line numbers for transitions
between source lines. These are only available if branch coverage was
used.
* **file tracer names**: the module names of the file tracer plugins that
handled each file in the data.
Lines, arcs, and file tracer names are stored for each source file. File
names in this API are case-sensitive, even on platforms with
case-insensitive file systems.
A data file either stores lines, or arcs, but not both.
A data file is associated with the data when the :class:`CoverageData`
is created, using the parameters `basename`, `suffix`, and `no_disk`. The
base name can be queried with :meth:`base_filename`, and the actual file
name being used is available from :meth:`data_filename`.
To read an existing coverage.py data file, use :meth:`read`. You can then
access the line, arc, or file tracer data with :meth:`lines`, :meth:`arcs`,
or :meth:`file_tracer`.
The :meth:`has_arcs` method indicates whether arc data is available. You
can get a set of the files in the data with :meth:`measured_files`. As
with most Python containers, you can determine if there is any data at all
by using this object as a boolean value.
The contexts for each line in a file can be read with
:meth:`contexts_by_lineno`.
To limit querying to certain contexts, use :meth:`set_query_context` or
:meth:`set_query_contexts`. These will narrow the focus of subsequent
:meth:`lines`, :meth:`arcs`, and :meth:`contexts_by_lineno` calls. The set
of all measured context names can be retrieved with
:meth:`measured_contexts`.
Most data files will be created by coverage.py itself, but you can use
methods here to create data files if you like. The :meth:`add_lines`,
:meth:`add_arcs`, and :meth:`add_file_tracers` methods add data, in ways
that are convenient for coverage.py.
To record data for contexts, use :meth:`set_context` to set a context to
be used for subsequent :meth:`add_lines` and :meth:`add_arcs` calls.
To add a source file without any measured data, use :meth:`touch_file`,
or :meth:`touch_files` for a list of such files.
Write the data to its file with :meth:`write`.
You can clear the data in memory with :meth:`erase`. Two data collections
can be combined by using :meth:`update` on one :class:`CoverageData`,
passing it the other.
Data in a :class:`CoverageData` can be serialized and deserialized with
:meth:`dumps` and :meth:`loads`.
The methods used during the coverage.py collection phase
(:meth:`add_lines`, :meth:`add_arcs`, :meth:`set_context`, and
:meth:`add_file_tracers`) are thread-safe. Other methods may not be.
"""
def __init__(self, basename=None, suffix=None, no_disk=False, warn=None, debug=None):
"""Create a :class:`CoverageData` object to hold coverage-measured data.
Arguments:
basename (str): the base name of the data file, defaulting to
".coverage". This can be a path to a file in another directory.
suffix (str or bool): has the same meaning as the `data_suffix`
argument to :class:`coverage.Coverage`.
no_disk (bool): if True, keep all data in memory, and don't
write any disk file.
warn: a warning callback function, accepting a warning message
argument.
debug: a `DebugControl` object (optional)
"""
self._no_disk = no_disk
self._basename = os.path.abspath(basename or ".coverage")
self._suffix = suffix
self._warn = warn
self._debug = debug or NoDebugging()
self._choose_filename()
self._file_map = {}
# Maps thread ids to SqliteDb objects.
self._dbs = {}
self._pid = os.getpid()
# Synchronize the operations used during collection.
self._lock = threading.RLock()
# Are we in sync with the data file?
self._have_used = False
self._has_lines = False
self._has_arcs = False
self._current_context = None
self._current_context_id = None
self._query_context_ids = None
def _locked(method): # pylint: disable=no-self-argument
"""A decorator for methods that should hold self._lock."""
@functools.wraps(method)
def _wrapped(self, *args, **kwargs):
if self._debug.should("lock"):
self._debug.write(f"Locking {self._lock!r} for {method.__name__}")
with self._lock:
if self._debug.should("lock"):
self._debug.write(f"Locked {self._lock!r} for {method.__name__}")
# pylint: disable=not-callable
return method(self, *args, **kwargs)
return _wrapped
def _choose_filename(self):
"""Set self._filename based on inited attributes."""
if self._no_disk:
self._filename = ":memory:"
else:
self._filename = self._basename
suffix = filename_suffix(self._suffix)
if suffix:
self._filename += "." + suffix
def _reset(self):
"""Reset our attributes."""
if self._dbs:
for db in self._dbs.values():
db.close()
self._dbs = {}
self._file_map = {}
self._have_used = False
self._current_context_id = None
def _open_db(self):
"""Open an existing db file, and read its metadata."""
if self._debug.should("dataio"):
self._debug.write(f"Opening data file {self._filename!r}")
self._dbs[threading.get_ident()] = SqliteDb(self._filename, self._debug)
self._read_db()
def _read_db(self):
"""Read the metadata from a database so that we are ready to use it."""
with self._dbs[threading.get_ident()] as db:
try:
schema_version, = db.execute_one("select version from coverage_schema")
except Exception as exc:
if "no such table: coverage_schema" in str(exc):
self._init_db(db)
else:
raise DataError(
"Data file {!r} doesn't seem to be a coverage data file: {}".format(
self._filename, exc
)
) from exc
else:
if schema_version != SCHEMA_VERSION:
raise DataError(
"Couldn't use data file {!r}: wrong schema: {} instead of {}".format(
self._filename, schema_version, SCHEMA_VERSION
)
)
for row in db.execute("select value from meta where key = 'has_arcs'"):
self._has_arcs = bool(int(row[0]))
self._has_lines = not self._has_arcs
for path, file_id in db.execute("select path, id from file"):
self._file_map[path] = file_id
def _init_db(self, db):
"""Write the initial contents of the database."""
if self._debug.should("dataio"):
self._debug.write(f"Initing data file {self._filename!r}")
db.executescript(SCHEMA)
db.execute("insert into coverage_schema (version) values (?)", (SCHEMA_VERSION,))
db.executemany(
"insert or ignore into meta (key, value) values (?, ?)",
[
("sys_argv", str(getattr(sys, "argv", None))),
("version", __version__),
("when", datetime.datetime.now().strftime("%Y-%m-%d %H:%M:%S")),
]
)
def _connect(self):
"""Get the SqliteDb object to use."""
if threading.get_ident() not in self._dbs:
self._open_db()
return self._dbs[threading.get_ident()]
def __bool__(self):
if (threading.get_ident() not in self._dbs and not os.path.exists(self._filename)):
return False
try:
with self._connect() as con:
rows = con.execute("select * from file limit 1")
return bool(list(rows))
except CoverageException:
return False
@contract(returns="bytes")
def dumps(self):
"""Serialize the current data to a byte string.
The format of the serialized data is not documented. It is only
suitable for use with :meth:`loads` in the same version of
coverage.py.
Note that this serialization is not what gets stored in coverage data
files. This method is meant to produce bytes that can be transmitted
elsewhere and then deserialized with :meth:`loads`.
Returns:
A byte string of serialized data.
.. versionadded:: 5.0
"""
if self._debug.should("dataio"):
self._debug.write(f"Dumping data from data file {self._filename!r}")
with self._connect() as con:
script = con.dump()
return b"z" + zlib.compress(script.encode("utf-8"))
@contract(data="bytes")
def loads(self, data):
"""Deserialize data from :meth:`dumps`.
Use with a newly-created empty :class:`CoverageData` object. It's
undefined what happens if the object already has data in it.
Note that this is not for reading data from a coverage data file. It
is only for use on data you produced with :meth:`dumps`.
Arguments:
data: A byte string of serialized data produced by :meth:`dumps`.
.. versionadded:: 5.0
"""
if self._debug.should("dataio"):
self._debug.write(f"Loading data into data file {self._filename!r}")
if data[:1] != b"z":
raise DataError(
f"Unrecognized serialization: {data[:40]!r} (head of {len(data)} bytes)"
)
script = zlib.decompress(data[1:]).decode("utf-8")
self._dbs[threading.get_ident()] = db = SqliteDb(self._filename, self._debug)
with db:
db.executescript(script)
self._read_db()
self._have_used = True
def _file_id(self, filename, add=False):
"""Get the file id for `filename`.
If filename is not in the database yet, add it if `add` is True.
If `add` is not True, return None.
"""
if filename not in self._file_map:
if add:
with self._connect() as con:
cur = con.execute("insert or replace into file (path) values (?)", (filename,))
self._file_map[filename] = cur.lastrowid
return self._file_map.get(filename)
def _context_id(self, context):
"""Get the id for a context."""
assert context is not None
self._start_using()
with self._connect() as con:
row = con.execute_one("select id from context where context = ?", (context,))
if row is not None:
return row[0]
else:
return None
@_locked
def set_context(self, context):
"""Set the current context for future :meth:`add_lines` etc.
`context` is a str, the name of the context to use for the next data
additions. The context persists until the next :meth:`set_context`.
.. versionadded:: 5.0
"""
if self._debug.should("dataop"):
self._debug.write(f"Setting context: {context!r}")
self._current_context = context
self._current_context_id = None
def _set_context_id(self):
"""Use the _current_context to set _current_context_id."""
context = self._current_context or ""
context_id = self._context_id(context)
if context_id is not None:
self._current_context_id = context_id
else:
with self._connect() as con:
cur = con.execute("insert into context (context) values (?)", (context,))
self._current_context_id = cur.lastrowid
def base_filename(self):
"""The base filename for storing data.
.. versionadded:: 5.0
"""
return self._basename
def data_filename(self):
"""Where is the data stored?
.. versionadded:: 5.0
"""
return self._filename
@_locked
def add_lines(self, line_data):
"""Add measured line data.
`line_data` is a dictionary mapping file names to iterables of ints::
{ filename: { line1, line2, ... }, ...}
"""
if self._debug.should("dataop"):
self._debug.write("Adding lines: %d files, %d lines total" % (
len(line_data), sum(len(lines) for lines in line_data.values())
))
self._start_using()
self._choose_lines_or_arcs(lines=True)
if not line_data:
return
with self._connect() as con:
self._set_context_id()
for filename, linenos in line_data.items():
linemap = nums_to_numbits(linenos)
file_id = self._file_id(filename, add=True)
query = "select numbits from line_bits where file_id = ? and context_id = ?"
existing = list(con.execute(query, (file_id, self._current_context_id)))
if existing:
linemap = numbits_union(linemap, existing[0][0])
con.execute(
"insert or replace into line_bits " +
" (file_id, context_id, numbits) values (?, ?, ?)",
(file_id, self._current_context_id, linemap),
)
@_locked
def add_arcs(self, arc_data):
"""Add measured arc data.
`arc_data` is a dictionary mapping file names to iterables of pairs of
ints::
{ filename: { (l1,l2), (l1,l2), ... }, ...}
"""
if self._debug.should("dataop"):
self._debug.write("Adding arcs: %d files, %d arcs total" % (
len(arc_data), sum(len(arcs) for arcs in arc_data.values())
))
self._start_using()
self._choose_lines_or_arcs(arcs=True)
if not arc_data:
return
with self._connect() as con:
self._set_context_id()
for filename, arcs in arc_data.items():
file_id = self._file_id(filename, add=True)
from coverage import env
if env.PYVERSION == (3, 11, 0, "alpha", 4, 0):
arcs = [(a, b) for a, b in arcs if a is not None and b is not None]
data = [(file_id, self._current_context_id, fromno, tono) for fromno, tono in arcs]
con.executemany(
"insert or ignore into arc " +
"(file_id, context_id, fromno, tono) values (?, ?, ?, ?)",
data,
)
def _choose_lines_or_arcs(self, lines=False, arcs=False):
"""Force the data file to choose between lines and arcs."""
assert lines or arcs
assert not (lines and arcs)
if lines and self._has_arcs:
if self._debug.should("dataop"):
self._debug.write("Error: Can't add line measurements to existing branch data")
raise DataError("Can't add line measurements to existing branch data")
if arcs and self._has_lines:
if self._debug.should("dataop"):
self._debug.write("Error: Can't add branch measurements to existing line data")
raise DataError("Can't add branch measurements to existing line data")
if not self._has_arcs and not self._has_lines:
self._has_lines = lines
self._has_arcs = arcs
with self._connect() as con:
con.execute(
"insert or ignore into meta (key, value) values (?, ?)",
("has_arcs", str(int(arcs)))
)
@_locked
def add_file_tracers(self, file_tracers):
"""Add per-file plugin information.
`file_tracers` is { filename: plugin_name, ... }
"""
if self._debug.should("dataop"):
self._debug.write("Adding file tracers: %d files" % (len(file_tracers),))
if not file_tracers:
return
self._start_using()
with self._connect() as con:
for filename, plugin_name in file_tracers.items():
file_id = self._file_id(filename)
if file_id is None:
raise DataError(
f"Can't add file tracer data for unmeasured file '{filename}'"
)
existing_plugin = self.file_tracer(filename)
if existing_plugin:
if existing_plugin != plugin_name:
raise DataError(
"Conflicting file tracer name for '{}': {!r} vs {!r}".format(
filename, existing_plugin, plugin_name,
)
)
elif plugin_name:
con.execute(
"insert into tracer (file_id, tracer) values (?, ?)",
(file_id, plugin_name)
)
def touch_file(self, filename, plugin_name=""):
"""Ensure that `filename` appears in the data, empty if needed.
`plugin_name` is the name of the plugin responsible for this file. It is used
to associate the right filereporter, etc.
"""
self.touch_files([filename], plugin_name)
def touch_files(self, filenames, plugin_name=""):
"""Ensure that `filenames` appear in the data, empty if needed.
`plugin_name` is the name of the plugin responsible for these files. It is used
to associate the right filereporter, etc.
"""
if self._debug.should("dataop"):
self._debug.write(f"Touching {filenames!r}")
self._start_using()
with self._connect(): # Use this to get one transaction.
if not self._has_arcs and not self._has_lines:
raise DataError("Can't touch files in an empty CoverageData")
for filename in filenames:
self._file_id(filename, add=True)
if plugin_name:
# Set the tracer for this file
self.add_file_tracers({filename: plugin_name})
def update(self, other_data, aliases=None):
"""Update this data with data from several other :class:`CoverageData` instances.
If `aliases` is provided, it's a `PathAliases` object that is used to
re-map paths to match the local machine's.
"""
if self._debug.should("dataop"):
self._debug.write("Updating with data from {!r}".format(
getattr(other_data, "_filename", "???"),
))
if self._has_lines and other_data._has_arcs:
raise DataError("Can't combine arc data with line data")
if self._has_arcs and other_data._has_lines:
raise DataError("Can't combine line data with arc data")
aliases = aliases or PathAliases()
# Force the database we're writing to to exist before we start nesting
# contexts.
self._start_using()
# Collector for all arcs, lines and tracers
other_data.read()
with other_data._connect() as conn:
# Get files data.
cur = conn.execute("select path from file")
files = {path: aliases.map(path) for (path,) in cur}
cur.close()
# Get contexts data.
cur = conn.execute("select context from context")
contexts = [context for (context,) in cur]
cur.close()
# Get arc data.
cur = conn.execute(
"select file.path, context.context, arc.fromno, arc.tono " +
"from arc " +
"inner join file on file.id = arc.file_id " +
"inner join context on context.id = arc.context_id"
)
arcs = [(files[path], context, fromno, tono) for (path, context, fromno, tono) in cur]
cur.close()
# Get line data.
cur = conn.execute(
"select file.path, context.context, line_bits.numbits " +
"from line_bits " +
"inner join file on file.id = line_bits.file_id " +
"inner join context on context.id = line_bits.context_id"
)
lines = {(files[path], context): numbits for (path, context, numbits) in cur}
cur.close()
# Get tracer data.
cur = conn.execute(
"select file.path, tracer " +
"from tracer " +
"inner join file on file.id = tracer.file_id"
)
tracers = {files[path]: tracer for (path, tracer) in cur}
cur.close()
with self._connect() as conn:
conn.con.isolation_level = "IMMEDIATE"
# Get all tracers in the DB. Files not in the tracers are assumed
# to have an empty string tracer. Since Sqlite does not support
# full outer joins, we have to make two queries to fill the
# dictionary.
this_tracers = {path: "" for path, in conn.execute("select path from file")}
this_tracers.update({
aliases.map(path): tracer
for path, tracer in conn.execute(
"select file.path, tracer from tracer " +
"inner join file on file.id = tracer.file_id"
)
})
# Create all file and context rows in the DB.
conn.executemany(
"insert or ignore into file (path) values (?)",
((file,) for file in files.values())
)
file_ids = {
path: id
for id, path in conn.execute("select id, path from file")
}
conn.executemany(
"insert or ignore into context (context) values (?)",
((context,) for context in contexts)
)
context_ids = {
context: id
for id, context in conn.execute("select id, context from context")
}
# Prepare tracers and fail, if a conflict is found.
# tracer_paths is used to ensure consistency over the tracer data
# and tracer_map tracks the tracers to be inserted.
tracer_map = {}
for path in files.values():
this_tracer = this_tracers.get(path)
other_tracer = tracers.get(path, "")
# If there is no tracer, there is always the None tracer.
if this_tracer is not None and this_tracer != other_tracer:
raise DataError(
"Conflicting file tracer name for '{}': {!r} vs {!r}".format(
path, this_tracer, other_tracer
)
)
tracer_map[path] = other_tracer
# Prepare arc and line rows to be inserted by converting the file
# and context strings with integer ids. Then use the efficient
# `executemany()` to insert all rows at once.
arc_rows = (
(file_ids[file], context_ids[context], fromno, tono)
for file, context, fromno, tono in arcs
)
# Get line data.
cur = conn.execute(
"select file.path, context.context, line_bits.numbits " +
"from line_bits " +
"inner join file on file.id = line_bits.file_id " +
"inner join context on context.id = line_bits.context_id"
)
for path, context, numbits in cur:
key = (aliases.map(path), context)
if key in lines:
numbits = numbits_union(lines[key], numbits)
lines[key] = numbits
cur.close()
if arcs:
self._choose_lines_or_arcs(arcs=True)
# Write the combined data.
conn.executemany(
"insert or ignore into arc " +
"(file_id, context_id, fromno, tono) values (?, ?, ?, ?)",
arc_rows
)
if lines:
self._choose_lines_or_arcs(lines=True)
conn.execute("delete from line_bits")
conn.executemany(
"insert into line_bits " +
"(file_id, context_id, numbits) values (?, ?, ?)",
[
(file_ids[file], context_ids[context], numbits)
for (file, context), numbits in lines.items()
]
)
conn.executemany(
"insert or ignore into tracer (file_id, tracer) values (?, ?)",
((file_ids[filename], tracer) for filename, tracer in tracer_map.items())
)
# Update all internal cache data.
self._reset()
self.read()
def erase(self, parallel=False):
"""Erase the data in this object.
If `parallel` is true, then also deletes data files created from the
basename by parallel-mode.
"""
self._reset()
if self._no_disk:
return
if self._debug.should("dataio"):
self._debug.write(f"Erasing data file {self._filename!r}")
file_be_gone(self._filename)
if parallel:
data_dir, local = os.path.split(self._filename)
localdot = local + ".*"
pattern = os.path.join(os.path.abspath(data_dir), localdot)
for filename in glob.glob(pattern):
if self._debug.should("dataio"):
self._debug.write(f"Erasing parallel data file {filename!r}")
file_be_gone(filename)
def read(self):
"""Start using an existing data file."""
with self._connect(): # TODO: doesn't look right
self._have_used = True
def write(self):
"""Ensure the data is written to the data file."""
pass
def _start_using(self):
"""Call this before using the database at all."""
if self._pid != os.getpid():
# Looks like we forked! Have to start a new data file.
self._reset()
self._choose_filename()
self._pid = os.getpid()
if not self._have_used:
self.erase()
self._have_used = True
def has_arcs(self):
"""Does the database have arcs (True) or lines (False)."""
return bool(self._has_arcs)
def measured_files(self):
"""A set of all files that had been measured."""
return set(self._file_map)
def measured_contexts(self):
"""A set of all contexts that have been measured.
.. versionadded:: 5.0
"""
self._start_using()
with self._connect() as con:
contexts = {row[0] for row in con.execute("select distinct(context) from context")}
return contexts
def file_tracer(self, filename):
"""Get the plugin name of the file tracer for a file.
Returns the name of the plugin that handles this file. If the file was
measured, but didn't use a plugin, then "" is returned. If the file
was not measured, then None is returned.
"""
self._start_using()
with self._connect() as con:
file_id = self._file_id(filename)
if file_id is None:
return None
row = con.execute_one("select tracer from tracer where file_id = ?", (file_id,))
if row is not None:
return row[0] or ""
return "" # File was measured, but no tracer associated.
def set_query_context(self, context):
"""Set a context for subsequent querying.
The next :meth:`lines`, :meth:`arcs`, or :meth:`contexts_by_lineno`
calls will be limited to only one context. `context` is a string which
must match a context exactly. If it does not, no exception is raised,
but queries will return no data.
.. versionadded:: 5.0
"""
self._start_using()
with self._connect() as con:
cur = con.execute("select id from context where context = ?", (context,))
self._query_context_ids = [row[0] for row in cur.fetchall()]
def set_query_contexts(self, contexts):
"""Set a number of contexts for subsequent querying.
The next :meth:`lines`, :meth:`arcs`, or :meth:`contexts_by_lineno`
calls will be limited to the specified contexts. `contexts` is a list
of Python regular expressions. Contexts will be matched using
:func:`re.search <python:re.search>`. Data will be included in query
results if they are part of any of the contexts matched.
.. versionadded:: 5.0
"""
self._start_using()
if contexts:
with self._connect() as con:
context_clause = " or ".join(["context regexp ?"] * len(contexts))
cur = con.execute("select id from context where " + context_clause, contexts)
self._query_context_ids = [row[0] for row in cur.fetchall()]
else:
self._query_context_ids = None
def lines(self, filename):
"""Get the list of lines executed for a source file.
If the file was not measured, returns None. A file might be measured,
and have no lines executed, in which case an empty list is returned.
If the file was executed, returns a list of integers, the line numbers
executed in the file. The list is in no particular order.
"""
self._start_using()
if self.has_arcs():
arcs = self.arcs(filename)
if arcs is not None:
all_lines = itertools.chain.from_iterable(arcs)
return list({l for l in all_lines if l > 0})
with self._connect() as con:
file_id = self._file_id(filename)
if file_id is None:
return None
else:
query = "select numbits from line_bits where file_id = ?"
data = [file_id]
if self._query_context_ids is not None:
ids_array = ", ".join("?" * len(self._query_context_ids))
query += " and context_id in (" + ids_array + ")"
data += self._query_context_ids
bitmaps = list(con.execute(query, data))
nums = set()
for row in bitmaps:
nums.update(numbits_to_nums(row[0]))
return list(nums)
def arcs(self, filename):
"""Get the list of arcs executed for a file.
If the file was not measured, returns None. A file might be measured,
and have no arcs executed, in which case an empty list is returned.
If the file was executed, returns a list of 2-tuples of integers. Each
pair is a starting line number and an ending line number for a
transition from one line to another. The list is in no particular
order.
Negative numbers have special meaning. If the starting line number is
-N, it represents an entry to the code object that starts at line N.
If the ending ling number is -N, it's an exit from the code object that
starts at line N.
"""
self._start_using()
with self._connect() as con:
file_id = self._file_id(filename)
if file_id is None:
return None
else:
query = "select distinct fromno, tono from arc where file_id = ?"
data = [file_id]
if self._query_context_ids is not None:
ids_array = ", ".join("?" * len(self._query_context_ids))
query += " and context_id in (" + ids_array + ")"
data += self._query_context_ids
arcs = con.execute(query, data)
return list(arcs)
def contexts_by_lineno(self, filename):
"""Get the contexts for each line in a file.
Returns:
A dict mapping line numbers to a list of context names.
.. versionadded:: 5.0
"""
self._start_using()
with self._connect() as con:
file_id = self._file_id(filename)
if file_id is None:
return {}
lineno_contexts_map = collections.defaultdict(set)
if self.has_arcs():
query = (
"select arc.fromno, arc.tono, context.context " +
"from arc, context " +
"where arc.file_id = ? and arc.context_id = context.id"
)
data = [file_id]
if self._query_context_ids is not None:
ids_array = ", ".join("?" * len(self._query_context_ids))
query += " and arc.context_id in (" + ids_array + ")"
data += self._query_context_ids
for fromno, tono, context in con.execute(query, data):
if fromno > 0:
lineno_contexts_map[fromno].add(context)
if tono > 0:
lineno_contexts_map[tono].add(context)
else:
query = (
"select l.numbits, c.context from line_bits l, context c " +
"where l.context_id = c.id " +
"and file_id = ?"
)
data = [file_id]
if self._query_context_ids is not None:
ids_array = ", ".join("?" * len(self._query_context_ids))
query += " and l.context_id in (" + ids_array + ")"
data += self._query_context_ids
for numbits, context in con.execute(query, data):
for lineno in numbits_to_nums(numbits):
lineno_contexts_map[lineno].add(context)
return {lineno: list(contexts) for lineno, contexts in lineno_contexts_map.items()}
@classmethod
def sys_info(cls):
"""Our information for `Coverage.sys_info`.
Returns a list of (key, value) pairs.
"""
with SqliteDb(":memory:", debug=NoDebugging()) as db:
temp_store = [row[0] for row in db.execute("pragma temp_store")]