You were right. With the nfs diretories unmounted, no problems at all: user@client$ df -T ~ Filesystem Type 1K-blocks Used Available Use% Mounted on /dev/sda3 ext4 43082196 23002028 17891720 57% /home user@client$ mount /dev/sda1 on / type ext4 (rw,errors=remount-ro) proc on /proc type proc (rw,noexec,nosuid,nodev) sysfs on /sys type sysfs (rw,noexec,nosuid,nodev) none on /sys/fs/fuse/connections type fusectl (rw) none on /sys/kernel/debug type debugfs (rw) none on /sys/kernel/security type securityfs (rw) udev on /dev type devtmpfs (rw,mode=0755) devpts on /dev/pts type devpts (rw,noexec,nosuid,gid=5,mode=0620) tmpfs on /tmp type tmpfs (rw,noexec,nosuid) tmpfs on /run type tmpfs (rw,noexec,nosuid,size=10%,mode=0755) none on /run/lock type tmpfs (rw,noexec,nosuid,nodev,size=5242880) none on /run/shm type tmpfs (rw,nosuid,nodev) /dev/sda3 on /home type ext4 (rw) rpc_pipefs on /run/rpc_pipefs type rpc_pipefs (rw)
With the nfs directories mounted, pytrainer is unstable and reboot my pc from time to time. user@client$ df -T ~ Filesystem Type 1K-blocks Used Available Use% Mounted on /dev/sda3 ext4 43082196 23001996 17891752 57% /home user@client$ mount /dev/sda1 on / type ext4 (rw,errors=remount-ro) proc on /proc type proc (rw,noexec,nosuid,nodev) sysfs on /sys type sysfs (rw,noexec,nosuid,nodev) none on /sys/fs/fuse/connections type fusectl (rw) none on /sys/kernel/debug type debugfs (rw) none on /sys/kernel/security type securityfs (rw) udev on /dev type devtmpfs (rw,mode=0755) devpts on /dev/pts type devpts (rw,noexec,nosuid,gid=5,mode=0620) tmpfs on /tmp type tmpfs (rw,noexec,nosuid) tmpfs on /run type tmpfs (rw,noexec,nosuid,size=10%,mode=0755) none on /run/lock type tmpfs (rw,noexec,nosuid,nodev,size=5242880) none on /run/shm type tmpfs (rw,nosuid,nodev) /dev/sda3 on /home type ext4 (rw) rpc_pipefs on /run/rpc_pipefs type rpc_pipefs (rw) 192.168.1.30:/home/client on /media/clientserv type nfs (rw,vers=4,addr=192.168.1.30,clientaddr=192.168.1.2) 192.168.1.30:/media/usb0 on /media/Hdd2T type nfs (rw,vers=4,addr=192.168.1.30,clientaddr=192.168.1.2) 192.168.1.30:/media/usb1 on /media/Hdd300M type nfs (rw,vers=4,addr=192.168.1.30,clientaddr=192.168.1.2) -- You received this bug notification because you are subscribed to pytrainer in Ubuntu. Matching subscriptions: pytrainer dev https://bugs.launchpad.net/bugs/1082051 Title: pytrainer does not start Status in “pytrainer” package in Ubuntu: Incomplete Bug description: trying to run pytrainer on Kubuntu 12.04, I get this from command line: user@server$ pytrainer running pytrainer from egg installation data_path: /usr/share/pytrainer/ gettext_path: /usr/share/locale site_path: /usr/lib/python2.7/site-packages ERROR:root:Failed when retrieving Max Heartrate value: invalid literal for int() with base 10: '' ERROR:root:Failed when retrieving Min Heartrate value: invalid literal for int() with base 10: '' Traceback (most recent call last): File "/usr/bin/pytr", line 102, in <module> main() File "/usr/bin/pytr", line 99, in main pytrainer = pyTrainer(None, data_path) File "/usr/lib/pymodules/python2.7/pytrainer/main.py", line 79, in __init__ initialize_data(self.ddbb, self.environment.conf_dir) File "/usr/lib/pymodules/python2.7/pytrainer/upgrade/data.py", line 31, in initialize_data InstalledData(migratable_db, ddbb, LegacyVersionProvider(conf_dir), UpgradeContext(conf_dir, db_url)).update_to_current() File "/usr/lib/pymodules/python2.7/pytrainer/upgrade/data.py", line 65, in update_to_current data_state.update_to_current(self) File "/usr/lib/pymodules/python2.7/pytrainer/upgrade/data.py", line 170, in update_to_current self._update_function(installed_data) File "/usr/lib/pymodules/python2.7/pytrainer/upgrade/data.py", line 177, in _update_stale data.upgrade() File "/usr/lib/pymodules/python2.7/pytrainer/upgrade/data.py", line 147, in upgrade self._migratable_db.upgrade() File "/usr/lib/pymodules/python2.7/pytrainer/upgrade/migratedb.py", line 87, in upgrade upgrade(self._db_url, self._repository_path) File "/usr/lib/python2.7/dist-packages/migrate/versioning/api.py", line 186, in upgrade return _migrate(url, repository, version, upgrade=True, err=err, **opts) File "<string>", line 2, in _migrate File "/usr/lib/python2.7/dist-packages/migrate/versioning/util/__init__.py", line 159, in with_engine return f(*a, **kw) File "/usr/lib/python2.7/dist-packages/migrate/versioning/api.py", line 366, in _migrate schema.runchange(ver, change, changeset.step) File "/usr/lib/python2.7/dist-packages/migrate/versioning/schema.py", line 91, in runchange change.run(self.engine, step) File "/usr/lib/python2.7/dist-packages/migrate/versioning/script/py.py", line 145, in run script_func(engine) File "/usr/lib/pymodules/python2.7/pytrainer/upgrade/versions/007_populate_record_duration.py", line 23, in upgrade migrate_engine.execute(text("update records set duration=:duration where id_record=:record_id"), duration=duration, record_id=record_id) File "/usr/lib/python2.7/dist-packages/sqlalchemy/engine/base.py", line 2297, in execute return connection.execute(statement, *multiparams, **params) File "/usr/lib/python2.7/dist-packages/sqlalchemy/engine/base.py", line 1405, in execute params) File "/usr/lib/python2.7/dist-packages/sqlalchemy/engine/base.py", line 1538, in _execute_clauseelement compiled_sql, distilled_params File "/usr/lib/python2.7/dist-packages/sqlalchemy/engine/base.py", line 1681, in _execute_context self._commit_impl() File "/usr/lib/python2.7/dist-packages/sqlalchemy/engine/base.py", line 1236, in _commit_impl self._handle_dbapi_exception(e, None, None, None, None) File "/usr/lib/python2.7/dist-packages/sqlalchemy/engine/base.py", line 1233, in _commit_impl self.engine.dialect.do_commit(self.connection) File "/usr/lib/python2.7/dist-packages/sqlalchemy/engine/default.py", line 306, in do_commit connection.commit() sqlalchemy.exc.OperationalError: (OperationalError) database is locked None None To manage notifications about this bug go to: https://bugs.launchpad.net/ubuntu/+source/pytrainer/+bug/1082051/+subscriptions ------------------------------------------------------------------------------ Monitor your physical, virtual and cloud infrastructure from a single web console. 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